diff --git a/Stackoverflow_Survey_Analysis.ipynb b/Stackoverflow_Survey_Analysis.ipynb
index 6d97387..81c801c 100644
--- a/Stackoverflow_Survey_Analysis.ipynb
+++ b/Stackoverflow_Survey_Analysis.ipynb
@@ -17,7 +17,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -59,14 +59,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## Stackoverflow 2018 Dataset"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -240,19 +242,19 @@
        "[3 rows x 129 columns]"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "df2018 = pd.read_csv(r\"C:\\Users\\Maryam\\AppData\\Local\\Temp\\survey_results_public_2018.csv\")\n",
+    "df2018 = pd.read_csv(r\".\\survey_results_public_2018.csv\")\n",
     "df2018.head(3)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -261,7 +263,7 @@
        "(98855, 129)"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -272,7 +274,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -281,7 +283,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -292,7 +294,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -308,7 +310,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 560,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -318,7 +320,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 561,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -329,7 +331,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 562,
    "metadata": {},
    "outputs": [
     {
@@ -457,7 +459,7 @@
        "1     18-20 years  "
       ]
      },
-     "execution_count": 10,
+     "execution_count": 562,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -468,7 +470,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 563,
    "metadata": {},
    "outputs": [
     {
@@ -477,7 +479,7 @@
        "(98855, 19)"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 563,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -489,7 +491,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 564,
    "metadata": {},
    "outputs": [
     {
@@ -525,7 +527,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 565,
    "metadata": {},
    "outputs": [
     {
@@ -553,7 +555,7 @@
        "dtype: object"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 565,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -564,14 +566,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## Data Validation - Total Cells vs Missing %"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 566,
    "metadata": {},
    "outputs": [
     {
@@ -598,14 +602,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## Missing Percentage column-wise"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 567,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -616,7 +622,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 568,
    "metadata": {},
    "outputs": [
     {
@@ -654,7 +660,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## Gender Filtering          \n",
     "### Data Cleaning Starts"
@@ -662,7 +670,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 569,
    "metadata": {},
    "outputs": [
     {
@@ -687,7 +695,7 @@
        "Name: Gender, dtype: int64"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 569,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -701,7 +709,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 570,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -724,7 +732,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 571,
    "metadata": {
     "scrolled": true
    },
@@ -735,12 +743,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 572,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 300x300 with 1 Axes>"
       ]
@@ -761,7 +769,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 573,
    "metadata": {},
    "outputs": [
     {
@@ -770,7 +778,7 @@
        "(98855, 19)"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 573,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -781,7 +789,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 574,
    "metadata": {},
    "outputs": [
     {
@@ -790,7 +798,7 @@
        "0"
       ]
      },
-     "execution_count": 22,
+     "execution_count": 574,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -801,14 +809,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## Country"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 575,
    "metadata": {},
    "outputs": [
     {
@@ -829,7 +839,7 @@
        "Name: Country, Length: 183, dtype: int64"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 575,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -840,7 +850,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 576,
    "metadata": {},
    "outputs": [
     {
@@ -849,7 +859,7 @@
        "412"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 576,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -860,7 +870,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 577,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -869,7 +879,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 578,
    "metadata": {},
    "outputs": [
     {
@@ -878,7 +888,7 @@
        "0"
       ]
      },
-     "execution_count": 26,
+     "execution_count": 578,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -889,7 +899,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 579,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -900,12 +910,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 580,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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Fy4gRI0zhwoXN3r17zdtvv23y5ctnfvvtN5diBQQEmL179xpjjClatKi1X//880+XkkmXc/dxevkNw/z581vnS/Hx8U7dkLsWd9xALVWqlOnZs2eG5T179sxWgsIYY2JjY81rr72WYfnAgQPNs88+m63Y7uTr62sOHjxojDGmQ4cO5uWXXzbGXDquXP0tnT59uqlZs6b122eMMdu3bzcPPvigmTZtmksxCxcubH12Lv/N//bbb02JEiVcipmZw4cPmzfeeMP4+fkZb29v8/DDD1s3QrMiMjLSLF261BhjzEMPPWTdLHr//fdN4cKFXa6XOz+jV7sZbbPZjI+PjylVqpT5/vvvXa6ruxP0ISEhZsOGDQ7xjLmUSLrzzjtdrqc792lOXj/lVNLX39/f+k1p3ry59Ru4f/9+4+fn53S8nLiJ9OOPP5pGjRpZ249rI0EHpyUkJJgNGzaYtLQ0a9nq1avNtm3bshU3Jy5Yzp8/b2bOnGkaN25scufObapVq2YmTJhgTp06ZQ4cOGDatGljypQpk+V4Fy5cMI0aNTK1a9c2Xbp0se6mpv+5qlSpUmbVqlXGmEsXLelJwBkzZpiCBQs6Ha9ly5bGbreb4sWLm2bNmplWrVo5/GVHTv3Aulu5cuXMr7/+mmH5L7/8Yu655x6n4+XPn9/a1hIlSpjFixcbY4zZvXt3ti+qChYsaO3TihUrmsmTJ1uxXfnRzskTjHT//POPefvtt02pUqWMv7+/eeaZZ8xDDz1kcufObd59990sx8mTJ4+1Xy8/nuLj411KThtzKck5ZMgQl557NcHBwdZJSqlSpUxcXJwxxpht27Zl6/3Pmzevtc3uUqRIETN8+PAMy4cPH26KFCmSrdi7du0ycXFx5syZM8YY4/Ix5u3tbe655x4zfPhwc/jw4UzLJCUlmTp16rhc13T16tVzubVHurx581onwEFBQWbTpk3GGGO2bt1qwsLCnI5XvHhx60ZMlSpVzNixY40xl75HXW05aYwxP/zwg6lRo4bJmzevCQoKMnXr1rUuMrMjJ+5++/n5ZXre8Mcff7j8mQoICHD75yldv379TFBQkMmfP7/1e+2KKlWqWN8fDz/8sImJiTF//fWX6du3b7YTFO4+TkNDQ62Wg2XLljXfffedMebS97M7k/3ZvYE6b9484+fnZ8qVK2diY2NNbGysKVeunPHz88t2a/J8+fJleuNp586dLv9G5YQiRYqYn3/+2Vy4cMFERERYiZktW7aY/PnzuxSzRIkS1rnJ5datW2eKFSvmUsw+ffqYBx54wCQkJFitiJYvX25KlCjhcmvcK7mjVfa7775r3n//fWOMMYsXLzZ58uQxPj4+JleuXOa9995zuW7u/owac6nV45EjR1yu09W4O0HfoUMH07JlS3P+/Hlzxx13mD///NPs37/fREVFWQllV7hzn+bk9VNOJX3vv/9+88orr5hffvnF+Pn5WdfPK1eudCluTtxEOnz4sKlTp47JlSuXueOOO6wWuel/cMQkEXBaWFiYTp06pQULFqhWrVrKkyeP7rvvvmwP+BgWFqZjx46paNGiKlq0qFatWqV7771Xe/futcb7ckbXrl315ZdfSpKefvppDR8+XOXLl7fW+/v76+2331axYsWyHHPo0KH6+eefrTF+rpwkwlWtWrXSokWLVLVqVb388stq06aNPvvsMx04cCDL40VdLn/+/GrVqpXL9bmWhx9+WEOGDNHXX38t6dJ2HzhwQP369dOjjz6a5TiBgYHauXOngoODrzvAvSuD2u/ZsyfTcYzSx85zVvny5bVp0yaVKFFCVatW1fDhw+Xj46Px48erRIkSTse73EMPPaTnn39eUVFR2rlzpzUG0R9//OHU8Zlu+fLlWrJkiX766SeVK1dO3t7eDutdGeNEklJTUzV37lxNnDhR8+fPV4UKFdSjRw899dRTCggIkCTNmDFDL774YpaP2/vuu0/z5s1T165dJf3f52jChAnW+GnOOnfunMaPH6+FCxeqQoUKGbbflfF9oqKitG7dOpUqVUp169bVwIEDdfToUU2dOlWRkZEu1VOSGjZsqHXr1mX7GLrc66+/rtjYWC1dutTah6tWrVJcXJw+/fRTl2IeO3ZMrVu31pIlS2Sz2bRr1y6VKFFCzz//vPLnz69Ro0Y5FW/RokV68MEHr1kmX758DgPBu2rRokXZjhEYGKh///1XklS4cGFt2bJFkZGROnnypEtjr9arV0/ff/+9KlWqpNjYWPXo0UOzZs3SunXr9Mgjj7hcz6ZNm2Z7DLPMjBo1Sq+88orGjh3r9JiYV5MvXz4dOHBA99xzj8PygwcPWt8nznr88cc1f/58derUKVt1y2wcrkKFCilv3ryqVauWVq9erdWrV0tyfhyu7t27KyEhQZI0aNAgNWzYUNOnT5ePj48mTZqUrXq7+zitVq2afvvtN5UtW1ZNmzZVr169tHnzZn377bfZnnU5NTVV3333nT7//HMtWLBAVapU0ZgxY9SmTRsdP35cr7zyih5//HFt3br1urGaNGmiXbt26eOPP9b27dtljNHDDz+sTp06ZXt8uzx58mj58uUqWbKkw/Lly5fLz8/P5bjuHofs2WefVevWra1xVx966CFJ0urVqzN8xrIqISEhw0yT0qUxqA4dOuRSzLfeekvt27dX4cKFZYxR2bJllZaWprZt2+q1115zKaYkHT58WFOnTtXEiRO1a9cuNW/eXDNmzFDDhg2t84rWrVurZcuWWZo05/JzmLp162r79u1at26d7rrrLt17770u19Pdn1FJ2rt3r8v1uRZ/f39r/Lrw8HDt2bPHmmXXlYmXRo4cqSZNmigkJERnz55V7dq1lZiYqOrVq7s07mo6d+7TnLx+evbZZ/X777+rdu3a6t+/v5o2baoPP/xQFy5cyNY4vu+8845atWqlESNGqF27dtbxOXfuXN1///1OxytdurR27NihYsWKqWLFiho3bpyKFSumsWPHqlChQi7VsU2bNvr77781dOhQhYaGMknE9Xg4QYibzNGjR029evWsJtXpd6qfe+65TLsXOCM2Nta6e/bJJ5+YPHnymAYNGpj8+fOb5557zul49erVM1988cU1xzRJTU11qnVB/vz5zcSJE52ui7NWrlxpRo0aZd2tvpEkJSWZmjVrmvz58xsvLy8TERFhvL29Ta1atcypU6eyHGfSpEnm3LlzxhhjJk6caHXJyuzPFQ8++KCpV6+e+eeff6xlCQkJpkGDBqZWrVpOx4uLi7PGGtuzZ48pU6aMsdlsJjg42KluE5k5ceKE6dy5s2nRooX56aefrOUDBw40b775ptPx2rdvf80/VwUFBZkCBQqYl156yWzcuDHTMsePH3fqzvpvv/1mAgICTKdOnYyfn595+eWXTYMGDYy/v79Zt26dS/XMifF91q5da7WaPHz4sGncuLEJCAgwUVFRLo1nme7TTz81RYoUMYMGDTKzZs1yGEMmO5//VatWmbZt25qoqChTsWJF07Zt22y1+omJiTENGzY0Bw8ezNBytmzZsi7FTE1NNQsWLDBjx441ycnJxphLLWn+/fdfl+uZU9q0aWNGjRpljDHmzTffNAULFjTPP/+8KVq0qEt31dPS0hy6dn711Vema9eu5v3333d5HK6clBN3v7t27WruvPNOM2PGDHPgwAFz8OBB8+WXX5o777zTqdYU77//vvU3dOhQExwcbNq1a2dGjhzpsC69NUxWXDkO19X+stsy0xhjTp8+bdavX++WFjDuPk737NljtZw8ffq0efHFF01kZKRp1apVtroqdenSxQQFBZmgoCDz8ssvm82bN2cos3//fmOz2Vx+DXcZNmyY8fX1NZ07dzZTp041U6dONZ07dzZ58uRxecgTd48VmG7mzJnm3Xfftbq6GnPpXGvOnDkuxWvWrJmpUKGCWbt2rdVaeu3ataZixYqmefPmLtfTmEvH1syZM81XX33l9NAYmXF3q+yFCxdedV1mY7xmlbs/o+kWLlxomjZtakqUKGHuuusu07RpU7NgwQKX4xlzqYXv+PHjjTGXWj7efffd5s033zSVKlUy9evXdznuokWLzIgRI8w777yT7Toak3P7NKft37/ffPPNN9k6h0x34cIFc/z4cYdle/fuNYcOHXI61rRp06xr3Q0bNpiCBQuaXLlyGT8/PzNjxgyX6pcnTx63bOftgllc4ZRnnnlGhw8f1qeffqoyZcpYM/DMnz9fPXr00B9//OFy7IsXL+rixYvKnftSw86vv/5ay5cv1913361OnTq5PPOqO4WFhenXX3/NcCf1RnXkyBHt2LFDNptNpUqVUsGCBd0We/HixdqwYYMuXryoSpUqqUGDBm6L7Q67d+9Wq1attGPHDhUpUkSSdODAAZUqVUpz5szR3Xffne3XOH78+HVb/91Kpk6dqscffzxbrQYys3nzZo0cOVLr16+3jqdXXnklWy3TbhbXmg3aZrNla3ZgdwoLC9PPP/+se++912H2tb179yoyMlKnTp1yKt7+/fvVqFEjHThwQCkpKdbsvd27d9e5c+c0duxYt9U9vRVI+veAK44fP65z584pPDxcFy9e1MiRI63fpwEDBqhAgQJuq68zcrolcroGDRrowIEDio2NzfTud7t27ZyOef78efXp00djx47VhQsXJEne3t568cUX9fbbb8vX1zdLcYoXL56lcjabLVuzLd8MbtTj9Erps64++uijVz23u3Dhgn777TfVrl07SzHdMRv21Xz99dd6//33tW3bNklSmTJl9PLLL6t169YuxatQoYJeeOEFde7c2fo+LV68uF544QUVKlRIr7/+erbqe+7cObf8Th85ckTt2rVTXFyc1RL9woULatiwoSZNmpRh1lBPMcbo119/VZUqVZQ3b163xHT37M3pcuIzOmbMGPXo0UOPPfaYQ6v5WbNm6d1331WXLl1cquuff/6pU6dOqUKFCjpz5ox69+5t1XX06NFOtaa+cOGC/Pz8FB8f79CbyR1ulu+9m9WZM2e0fft2FSlSRMHBwS7FqFSpkj7++ONst7y+XZCgg1PcfZGW03bu3KmlS5dmesLm7LTTkjRs2DAlJCQ4NQ391cydOzfLZVu0aOFU7NOnT6tr166aMmWKtd1eXl565pln9OGHH7rtBMZd6tWrp9q1a2vQoEEOy0+cOKFHH31UixcvdimuMUYLFiywuryULVtWDRo0uCESaps2bcpy2QoVKuRgTW5du3fv1p49e6yu+MaYG+K9/y9cvHhRu3fvzvS7r1atWk7HCwgI0IYNG1SyZEmH7/61a9eqUaNGOnbsmFPxWrZsqYCAAH322WcKCgqy4i1btkzPP/+8du3a5XQdr6ZMmTLauXOnx5OdmzZtUvny5ZUrV67rfv6z+pmfPHmynnzySfn6+mry5MnXLOtKEi1d3rx5tXLlymx17bqaM2fOaM+ePTLG6O67776hfp9SU1NVunRp/fDDDypbtqxbYj722GOqUqWK+vXr57B8xIgRWrNmjWbOnOmW13Gn8+fPZ/pdkp2ktzt9//33euqpp3T69GkFBARkGH4kO8npnODv728NYREcHKwlS5YoMjJS27ZtU7169awu0M5IS0vT0KFDNXbsWB06dMi66TFgwAAVK1ZMsbGxLtd3586d1nlUmTJlVKpUKZdj5cTxf/HiRfn5+emPP/5w2w30iRMnqm/fvlq2bJn12R85cqTeeOMN/fDDD9cdouG/VLhwYfXv3z9DIu6jjz7SW2+9pX/++cdDNXN011136dtvv82R3xF3mjVrlr7++utMu59v2LDBqVgffPCBOnbsKD8/v+teOzo7XEK64sWLX/Pc9ka4MTV//ny9/vrreuuttxQZGZlh6Jl8+fJ5qGY3JhJ0cIq7L9Jy4oIl3YQJE/Tiiy8qODhYYWFhGU7YnP2SlS6NFbd48WIFBQVle2yvK1vO2Gy2DGPtpdfZ2QvLF154QQsXLtSYMWNUs2ZNSZfGS+nWrZseeughffLJJ07Fu1y3bt109913Z/ghGTNmjHbv3q333nvP6Zi5cuVSUFCQatasqenTp8vf31+SdOjQIYWHh3vswvqRRx7RpEmTlC9fvuuOC+XsmDG5cuWy3vPrJY2ysv2VKlXSokWLVKBAAUVFRV0zpjPHvjPjYbk6tp27k0lXGy8tNjbWpfHSpEvHYu/evbVo0SIdPnw4w2fV08mfy61atUpt27bV/v37M/1OcaWuTZs2VaVKlfTGG28oICBAmzZtUtGiRfXkk0/q4sWLmjVrllPxgoOD9dtvv6l06dIOvyX79u1T2bJlszxuzOUnvwcOHFBERESGY3/t2rU6c+ZMllvipEtOTrZOGq/XWiIrJ5e5cuVSYmKiQkJCHD7/V7qRWk6my4m730lJSUpLS1NgYKDD8uPHjyt37txuOWFPS0vT5s2bVbRoUZdbURQuXFgLFy5UmTJlsl0fSSpYsKAWL16coYXw5s2b1aBBA6fH9nL3cXq5nTt3KjY2VitWrHBYnv67ld3jdOvWrZleBDt7U7JUqVJq0qSJhg4dmmMJXncmKSMiIvTjjz8qMjJS9957r/r166c2bdpo5cqVatSokZKSkpyOOWTIEE2ePFlDhgxRhw4dtGXLFpUoUUJff/21Ro8erZUrVzodMye4+/hPV65cOX322Wdu/Y4aOXKk3nvvPS1fvlxfffWVhg4dqp9++kk1atRwKk5OfkalS9dmGzduzNAzZNeuXYqKirphGk9MnDhRM2fO1LRp0zJ87zsrp/bpBx98oFdffVXt2rXThAkT9Oyzz2rPnj1au3atOnfu7PRYecWLF9e6desUFBR0zdbe2Wnh/f777zs8Tk1N1caNGxUXF6c+ffpkSIZnpmfPnnrjjTfk7++vnj17XrOsK+PlpV/zXnl+5q7fklsNk0TAKbVq1dKUKVP0xhtvSLr0Qbt48aJGjBihunXrOh2vYsWK1gVLxYoV3XrB8uabb+qtt97SK6+84nS9riZ//vzZGsD7cpef5C1cuFCvvPKKhg4dqurVq8tms2nFihV67bXXNHToUKdjf/PNN5o1a5bq1KljLWvSpIny5Mmj1q1bZytB980332Ta+q9GjRp6++23XUrQSZf2wQsvvKBq1arp+++/d2lyhCstWrTISqhceVL9+eefX/f5drvd+jHJbMKJ7Lh8UN+NGzeqd+/e6tOnj9U9YeXKlRo1apSGDx+epXgPP/yw1SWsZcuWbqunu7f7SjmRTOrRo4e8vb114MABh4vqJ554Qj169HApQde+fXsdOHBAAwYMsAbhdpfTp09r2bJlmV6ounJHtVOnTqpSpYrmzZvntrqOGDFCderU0bp163T+/Hn17dtXf/zxh44fP67ffvvN6XgXL17M9L3966+/nJogoGfPnnryySfl5+en4sWLKyEhIUO3qyu7KGVVgQIFrHj58+fPdD86c3K5d+9ea5gBdw3q7Uw3q+wkvN5++2316tXLrXe/n3zySTVv3lwvvfSSw/Kvv/5ac+fO1Y8//uh0zO7duysyMlKxsbFKS0tTrVq1tHLlSuXNm1c//PCDw29iVnXt2lXvvPOOPv30U2sIjuw4depUpt06vb29Xeo25+7j9HLPPvuscufOrR9++MGt33t//vmnWrVqpc2bNzuc97l6U/Lvv/9Wt27dciQ5t2vXLj333HNuTVI++OCDWrBggSIjI9W6dWu9/PLLWrx4sRYsWKD69eu7VM8pU6Zo/Pjxql+/vsMkKRUqVND27dtdipmWlqZJkyZd9TzKld4N7j7+0w0fPlx9+vTRJ5984rYulL1799axY8dUpUoVpaWlaf78+apatarTcXLyMypdSmjPnj1bffr0cVj+3XffqXnz5k7FyslhEz744APt3r1b4eHhKlq0qHUzPp0zN49zap9+/PHHGj9+vNq0aaPJkyerb9++KlGihAYOHOhSS9zLf+tzajKPl19+OdPlH330kdatW5elGBs3brQmhNm4ceNVy7n6G+COCb9uJ7Sgg1O2bt2qOnXqqHLlylq8eLFatGjhcJF21113ORVv//79KlKkiGw2m/bv33/Nss7OHJcvXz7Fx8e7dXbEnFK+fHmNHTtWDzzwgMPyX3/9VR07drTGPcmqvHnzav369Rnu+P/xxx+6//77dfr0aZfr6ufnpy1btmS4U7d7926VL19e586dczpmessSu92u5557TvPnz9fMmTNVpkwZl1vQvf766xoyZIiqVKmS6YXF7NmznY6ZU+6//34NHjxYTZo0cVj+448/asCAAVq/fr2HapbzKlasqFKlSun111/P9H1yJUGYE13xAwIC9Ouvv6pixYpOP/daNm7cqCZNmujMmTM6ffq0AgMDdfToUeXNm1chISEu3VH19/fX77//7pZxFi+XmJioTz75xGGswM6dO7s0q9cTTzwhu92u8ePHWy3yChYsqIcfflhFihTRxIkTsxSnSJEi6t+/v5o0aWLdqb7aGCnOtnRZtmyZatasqdy5c2vZsmXXLOtM67zU1FR17NhRAwYMyPbvU3pLvGtxxx3qnLj7HRgYqN9++y3D79T27dtVs2ZNp1vkS9Kdd96pOXPmqEqVKpozZ446d+6sJUuWaMqUKVqyZIlLyeT0WdbvuOMORUZGZriodLbl8H333afmzZtnGGZj8ODB+v77753+vs+p41S69F2yfv16l2cBvZrmzZvLy8tLEyZMUIkSJbRmzRodO3ZMvXr10siRI53uPvjII4/oySefdHlMuGtJ37f9+vXL9DfKle56OTFmVp48ebR9+3YVLVrU4Xdv69atuv/++1363evSpYsmTZqkpk2bZrrto0ePdjqmu4//dAUKFNCZM2d04cIF+fj4KE+ePA7rs5JcuVoXxJEjR6pWrVoOM2I6c/MsJz+j0qUGCSNHjlTNmjUdxqD77bff1KtXL4cbKNerd04Om3C9sRWvHObmWnJqn+bNm1fbtm1T0aJFFRISogULFujee+/Vrl27VK1aNZd+lzJz5U2JnPDnn3+qYsWK2Up8wzNoQQenlC1bVps2bdInn3wiLy8vnT59Wo888ojLF2mXJ92cTcBdz+OPP6758+c73El0F3dPvrBnz55MExF2u1379u1zOl716tU1aNAgTZkyxRoo+OzZs3r99detH29X3X333YqLi8sw1sVPP/3k8sVm+g+Ur6+vpk+frjfffFONGjXKVuvHsWPHatKkSYqJiXE5xn9l8+bNmTZ9L168uLZu3eqBGv13du3apVmzZrk1mXT69OlMW1IcPXo0ywPPXykiIiLT1r3Z1aNHDzVv3lyffPKJ8ufPr1WrVsnb21tPP/30Ve+KXk/VqlW1e/dutyfowsLCsj14ebrRo0erbt26Klu2rM6dO6e2bdtq165dCg4O1pdffpnlOK+99pq6du2qLl26yGazZdpaztUk0uUn9a5cNF2Nt7e3Zs+erQEDBmQ71n91VzonXiclJcWaHOJyqampOnv2rEsxjx49qrCwMEmXbnA8/vjjKlWqlGJjY10eOzZ//vx69NFHXXpuZgYMGKBHH31Ue/bsUb169SRdau395ZdfujT+Vk4dp9Klc76jR4+6NaZ0qYX44sWLVbBgQeXKlUu5cuXSAw88oGHDhqlbt27XbMGRmaZNm6pPnz7aunVrpi08ne0ye7n4+Hi3Jykv796XK1cu9e3bV3379s1WzHLlyunXX3/NcC49c+ZMRUVFuRRzxowZ+vrrrzPcPMwOdx//6VztvXG5qyUcvby89Ntvv1kJfpvN5lSCLv1zeeHCBS1dulTPPfecIiIisl3fdJ999pkKFCigrVu3Opwz5s+fX5999pn1OCv1Tk+6pX83N2zY0PpOzS5nEnDXk1Pfe2FhYTp27JiKFi2qokWLatWqVbr33nu1d+9et5wDfvbZZxo9erQ1zm7JkiXVvXt3Pf/889mOfaVZs2ZluyvxwYMHZbPZdOedd7qlTmfOnMm0twhjbTsiQQenpI/xk9lF2oEDB5xuoZCTEyWk34lctWpVpidsrnQdy6nJF+677z51795d06ZNsxKdiYmJ6tWrl8Mdu6x6//331ahRI91555269957ZbPZFB8fLz8/P/38888u1TFdz5491aVLFx05csTh5GrUqFEunyBd+aP32muvqUyZMtka1Pz8+fNOjxNypeuN5XY5V8Y0TFemTBm9+eab+uyzz6yEakpKit58802Xxj1KS0vT6NGjrzrIbXYGzHbn4LlSziST3N0VX7p08t+vXz+NGzfOLd2v08XHx2vcuHHy8vKSl5eXUlJSVKJECQ0fPlzt2rVzqUt9165d1atXLyUmJmb63ZedEyF3nVyFh4crPj5eM2bMsFrkxcbG6qmnnsrQ8uFaOnbsqDZt2mj//v2qUKGCFi5cqKCgIKfqklXunCWyVatWmjNnznXHerkedydk/svXue+++zR+/Hh9+OGHDsvHjh2rypUruxQzNDRUW7duVaFChRQXF6ePP/5Y0qXj1svLy6WYWW3NmVUtWrTQnDlzNHToUM2aNUt58uSxjt3s7ue4uDjdcccdVmv8jz76SBMmTFDZsmX10UcfOd0y65133lHfvn01dOhQtw7snZaWpjvuuEPSpfEo//nnH5UuXVpFixbVjh07nI7XoUMHSZfGYbtSdluP5kSS8motWmw2m3x9fa86s+21DBo0SDExMfr777918eJFffvtt9qxY4emTJmiH374waV6+vj4uP1GT04d/9k5X0yXU10Q0+XOnVsjR450S10vlxP1zp07t1588UWne/Bkxfr167Vt2zbZbDaVLVvW5QRyOnd+79WrV0/ff/+9KlWqpNjYWPXo0UOzZs3SunXrsj3E0YABAzR69Gh17drVYTibHj16aN++fXrzzTddinvltYoxRomJiTpy5Ij1G+iMCxcu6PXXX9cHH3xgtby944471LVrVw0aNCjD70BWHDlyRM8++6x++umnTNczBp0jurjCKV5eXpmO8XPs2DGFhIQ4/QG73kQJl3/hOBs7JwbjzKnJF3bv3q1WrVppx44dVpLzwIEDKlWqlObMmePSCdLZs2c1bdo0hxlMnb34vZpPPvnEYWaoYsWKafDgwU5fpKa7vKvz5bZs2aL169e7dDLzyiuv6I477shWKxVnWgtl587gmjVr1Lx5c128eNHqLvP777/LZrPphx9+cDpJO3DgQH366afq2bOnBgwYoFdffVX79u3TnDlzNHDgQJdninL34LnSpa7Gr732mvr06eO2ZJK7u+JLjt1n8ubNm6GeriY9CxYsqN9++02lSpVS6dKl9cEHH6hhw4bavn27KlWqlOXJEi535feq9H/fra5erLr75GratGl6+umnM13Xp08fjRgxwuk6Xt41x93cPUvkW2+9pZEjR6p+/fqqXLlyhm6Trn5GT5w4oc8++8y6+ClTpoyeffbZbN9F/+WXX6653pXJXH777Tc1aNBA9913nzXu1qJFi7R27VrNnz/fpVkSBw8erPfee0+FChXSmTNntHPnTvn6+urzzz/XhAkTbpiB8nNKZGSk3nnnHTVp0kSbN29WlSpV1KtXLy1evFhlypRxOtmYUwN7P/jgg+rVq5datmyptm3b6sSJE3rttdc0fvx4rV+/Xlu2bHEpbk5YvHixNR6wu5KU1+uafuedd6p9+/YaNGhQpt/nV/Pzzz9r6NChDsMQDBw4UNHR0U7XUZJGjRqlP//8U2PGjLmpZkA/e/asNZ5WuhtllsiWLVuqZcuWat++vdtiLl261KXxNa+nbt26evnll902rvHhw4f15JNPaunSpcqfP7+MMUpKSlLdunU1Y8YMl3sjufN77+LFi7p48aI13ujXX39tdT/v1KmTS8nzdMHBwfrwww/Vpk0bh+Vffvmlunbt6vKNgCuvVXLlyqWCBQuqTp06LrX87dSpk2bPnq0hQ4Y4JBIHDx6shx9+WGPHjnU65lNPPaV9+/bpvffeU926dTV79mwdOnRIb775pkaNGqWmTZs6HfNWRoIOTsmVK5cOHTqU4Ut0//79Klu2bLbGNrveRAkPPfRQdqufbcHBwRkmX5Audf9p3bq1jhw54nJsY4wWLFjgkFBr0KDBDX1SdOTIEeXJk8e6E34jefnllzVlyhRVqFBBFSpUyHBS7cosRDnpzJkzGRKqbdu2zXDhnhV33XWXPvjgAzVt2lQBAQGKj4+3lq1atUpffPGFS3W85557NGjQILVp08ZhjJv0wXPHjBnjdMycSCZJ7h0vTZLbx2JJFx0drfbt26tt27bq1KmTNm7cqG7dumnq1Kk6ceKEVq9e7XRMd4/nKbn/5Cp//vyaNm2amjVr5rC8R48emjFjhhISEpyuY7rL786XKVNGlSpVcjlWOnfPEpkTN5CWLVumFi1ayG63q0qVKpIu7YuTJ09q7ty52WqdcrXPaTpXP6fx8fEaMWKE4uPjrZY0/fv3V8mSJV2u66xZs3Tw4EE9/vjjVrecyZMnK3/+/Hr44YddjunOlsM55Y477tCWLVusm2ZbtmzRrFmztGHDBjVp0kSJiYlOxcuJ8bKkS4mk9CFS/vzzTzVr1kzbt29XUFCQvvrqK6t1/o0gJ5KUU6ZM0auvvqr27dvr/vvvlzFGa9eu1eTJk/Xaa6/pyJEjGjlypPr06aP//e9/btkOV7Rq1UpLlixRYGCgypUrl+E8ytWZ20+ePKlZs2bpzz//VO/evRUYGKgNGzYoNDRUhQsXdinm6dOn9corr+jrr7/OdJwwZ9+nnJggQ5LGjRunwYMH66mnnsr05owr3bH9/PxUuHBhPfvss2rXrp3bus/OnDlT/fr1U48ePTKtq7M3UJ944gnt2bNHU6dOtXqHbN26Ve3atdPdd9/t1PAWl3P3915OKVCggNasWZPh923nzp26//77dfLkSadjXrhwQdOnT3drV2S73a4ZM2aocePGDst/+uknPfnkky7NMl2oUCF99913uv/++5UvXz6tW7dOpUqV0ty5czV8+HAtX77cLXW/VZCgQ5akd8N5//331aFDB4cLlLS0NK1evdoao8FV7p4oISfk5OQL2TV37lw1btxY3t7e1+06nJ3xWHLK2rVrNXPmzEwvgFw5CbxWV0abzebyydXNwN/fX9u2bVORIkVUqFAhzZs3T5UqVdKff/6pqKgol35cpZwZPDcnkkk3k3Xr1unff/9V3bp1deTIEbVr1866W/v555+7fVIKV7n75CouLk5PPvmk5s6da7W+6tq1q7799lstWrTIpbu+OXV3Xrr0mdq8efMNPelQ+fLlVaNGDWuMWOnS7/NLL72k3377LVutkq78zkhNTdXGjRs1YMAAvfXWWy7PPJmTzp07Zw0ZkB3uaDmckzMjXvk6y5cvV9myZfXAAw/omWeeUceOHbVv3z6VLVvWpRa5/5Xjx49fd99ci7tnw06XE0nK+vXr64UXXsgwqcXXX3+tcePGadGiRZo6dareeustp2dgPX/+fKYJJWeHoJEuzeJ7La50/960aZMaNGhgjbG8Y8cOlShRQgMGDND+/fs1ZcoUp2NKsiaEGTJkiJ555hl99NFH+vvvvzVu3Di9/fbbeuqpp5yKlxMTZEiZ3+xI52rC9/jx45o2bZomTZqkTZs2qX79+oqNjVXLli2z1eLL3TdQ7Xa7Fi5cmGGs2DVr1ig6OtqlBJXk/u+9nGqJ3rVrV3l7e2doINC7d2+dPXtWH330kUtxLz83d4fQ0FAtXbo0w7Xutm3bVKtWLZcao+TLl0+bNm1SsWLFVKxYMU2fPl01a9bU3r17Va5cuRv6t8kTGIMOWZI+YK8xRps3b3b4wvfx8dG9996r3r17Z+s13D1RgiT99ddfmjt3bqYnbK60oMrJyReye3LZsmVLJSYmKiQk5JrN0bM7HsuhQ4fUu3dv667ilTl+V2LPmDFDzzzzjKKjo7VgwQJFR0dr165dSkxMVKtWrVyqp7sHNc/Jcd2kS3fQli5dmumJ9ZWznV3PnXfeqYSEBBUpUkR333235s+fr0qVKmnt2rXZ6v6XE4PnuuuEYtOmTVkum9W7vsnJyVa3mOvNguVq95n0lk7Spe6uP/74o0txMrN169ZMj1VXEvSnT5+2hjYIDAzUkSNHVKpUKUVGRrrUgqhRo0YaO3asWrZsqfnz5+vzzz/Xd999pyVLlqhUqVJOx5MunfwmJyfrjz/+yHB3vlu3bi7fnZcuDZS9bt06tyXohgwZot69e2dojXf27FmNGDHC6c+8dOk39JtvvnEYa83Ly0s9e/Z0+aI3XWa/zQ899JB8fX3Vo0ePLM+8mNOfqbS0NA0dOlRjx47VoUOHtHPnTuviv1ixYoqNjXU65scff6zx48erTZs2mjx5svr27evQcjgrRo8erYCAAEnuGcz+ah544AH17NlTNWvW1Jo1a/TVV19JuvT7ktVBvjdt2qTy5csrV65c1/1edXU8ywULFqhmzZoOx392Ln6vNxt2dhJ0OTH+4sqVKzPtJhYVFWV1w37ggQd04MCBLMfctWuXnnvuOa1YscJheXZa+rl7/EXp0g3/9u3ba/jw4dZnQpIaN26stm3buhz3+++/15QpU1SnTh0999xzevDBB3X33XeraNGimj59utMJupyYIENShvM7dwgMDFS3bt3UrVs3xcfH6/PPP1fnzp314osv6qmnnlJsbKxLsw27e2y7ixcvZjp+mbe3d7b2izu+99ItW7ZM/4+9O4+Laf//AP6aNu2LJFtaidxSXbJT1lxblmu96ObaJVm7tuxryL5H1uy7CBERoVIoS6VcZF9baPn8/ujX+TZNMXNmxlTez8ejx60z9blvNXPmnM/n836/u3XrBl1dXe76bNWqVZgzZw6vneiF68wKBAJs2bIFISEhaNy4MYD8brtPnz7lXSIIyK/lHB0dLbPr6dGjR2Pu3LnYtm0bd8/w9etXzJ8/X6RBoLisra3x4MEDmJmZwd7enqvnvGHDBt6ZLeUaI0QC7u7u7OPHj3IZu0WLFqx169bs+fPn3LEXL16wtm3bspYtW0o83vnz55mmpiarV68eU1FRYfb29kxfX5/p6ekxFxcXXjHGxcWx6tWrM0NDQ9a6dWvWpk0bZmhoyKpXr87u3r3La0zGGIuKimJVqlRhurq6TFlZmRkZGTGBQMC0tLSYubk573HlwdXVldnY2LB169axI0eOsKNHjwp98GFra8vWrFnDGGNMW1ubJSYmsry8PDZ06FA2c+ZMWYbP24wZM1jVqlXZ0qVLmbq6Ops7dy4bMmQIMzQ0ZCtXrpRq7E2bNjFlZWVmbGzM6tevz+zt7bkPBwcHicebMmUKmz9/PmOMsQMHDjAVFRVmZWXF1NTU2JQpU3jHOWTIEDZr1izGGGPr169nGhoarG3btkxfX595eHiIPc6xY8fYt2/fuM+/9yEugUDAlJSUuP8WfAgEApFj4lJSUmIvX74UGr/oR8FxvlxcXNj79+9Fjn/8+JH3eSoxMZHZ2dkJ/U4Kx89HgwYN2JkzZxhjjHXr1o0NHDiQ/ffff2zy5MnMwsKC15iMMbZu3TpWoUIFVqNGDfbo0SPe4zDGmK6uLouMjBQ5fuPGDaanpyfV2Fu2bGE1a9Zkvr6+7ODBg7yfpwUKP7cKe/PmDe+/UdOmTdmRI0dEjh85coQ1btyY15g/cv/+faalpSX298v7NTV79mxmYWHBdu3axTQ0NFhiYiJjjLF9+/bx/h1oaGiwJ0+eMMYYMzIyYjExMYwxxh4+fMgqVqwo0VjZ2dls+/bt7MWLF7xi+ZGUlBTWqVMnZmdnx7Zs2cIdHzduHPP09BRrDIFAIPI3KjiHFP6Q5ryno6PD1NTUWJMmTZiPjw87c+YM+/z5M+/xWrVqxYYOHcpycnK4a4jU1FTWsmVLdujQId7jFpaens7i4+PZnTt3hD74qFWrVrHvxVOmTGG1a9dmjDF28+ZNVq1aNbHHbNq0KWvZsiU7ffo0i46OZjExMUIfpYWuri57/PgxY+x/13uMMfbkyRNWoUIF3uNqaWlxr9Pq1auzGzduMMYYS0pKkugcVaBq1arswYMHvONRpGfPnjFfX19WoUIFpqWlxZSVlVnz5s2luk+Rha5du7KWLVuyZ8+eccf+++8/1qpVK+bm5sZ7XFmc9wrUq1ePO5cUyMnJYcOGDWP16tWTODZnZ2exPvhe7zHG2P79+5mFhQVbvXo1u3btGq9zVPfu3YU+dHR0WKVKlVibNm1YmzZtWKVKlZiuri7r3r07rxh37drFtm3bxhjLv+c1MjJiSkpKTF1dnQUFBfEaszyjFFdSasi6UYKTkxNcXV0xZ84crl5W5cqVMWDAALi6umLkyJG84pRH8wVnZ2fUrl0b69evh76+Pu7cuQNVVVX89ddf8PLykrhz0I4dO9CnTx+R3VLfvn3jdqvxpaOjgytXrsg09U5LSwv37t2DmZkZKlWqhIsXL8LW1hbx8fFo3bo173pUskyblVddNyB/F9moUaMwZcoU3mN8z/Xr13Ht2jVYWVlJld4sq+K5SkpK3G5PWaV7FE6VjY6OxsSJEzFp0iShArfLli3DkiVLxC54HBYWhmbNmkFFRUVutZgK/y4Ke/XqFapXry5S6FocXbp0gbKyMjZv3gwLCwtERkbi7du3mDBhAvz8/HgV39+9ezeys7Ph7u6O6OhodOjQAW/fvoWamhq2b9+OPn36/HCMkjqWHjx4EA4ODkLNO/jscC7p3BQdHY1WrVr9cMfW98g6Lamkeq6hoaHo06eP2CkkhXc4xcfHY/LkyfD09BRanV+7di0WLVok1t9InP8PkL8r58WLF1i0aBGys7PFLm9R+DV16dKl76Yz8nlNWVlZYePGjWjTpo1QncyEhAQ0adIE79+/l3hMCwsLHDx4EI6OjmjYsCH++ecfDB8+HCEhIejbt6/Eu6dlnY4ka4WbNsmrBEFubi4iIyMRFhaGS5cu4dq1a8jKyoKjoyOcnZ2xaNEiicbT19fHjRs3YG1tDX19fURERKBu3bq4ceMGBg8eLHGaaGHy6D54/Phx/Pnnn6hTpw4aNmwIgUCAmzdvIiEhAQcPHkTnzp2xfv16PHr0SOxzoZaWFm7fvs2rPMD3yLr+orGxMc6cOQMHBweh12hISAiGDBmCp0+f8orTzs4Oq1evRqtWrdC+fXvY2dnBz88Pq1atwpIlS/Dff/9JNJ48G2TIIx07Ozsbx44dQ0BAAM6dO4cGDRpgyJAh6NevH969e4cpU6YgJiYG9+/fl2jcnTt3YsOGDUhOTkZERARMTU3h7+8Pc3NziWt6Pn36FN26dcPdu3dhYmICgUCA1NRU2Nra4tixYxLvdpMHDQ0NxMTEwNraWuj4gwcPYG9vj8zMTAVFVjJZpCL/KJ29MFnsrM3IyEBCQgJq1qyJSpUqST1euaPQ6UFSJkVGRrJJkyaxPn36iMy4SysvL4+dPXuWrVy5kvn7+7OQkBCWl5fHayxtbW1ulU5fX59bOYqJiWGmpqZSxypLenp6LCEhgfv8/v37jDHGrl+/zqytrSUeTx67MwrUrVuXRUVFSTVGUTVq1GCxsbGMMcbs7OzYnj17GGOMXbt2jenq6vIac+/evUxVVZV16tSJqampsc6dOzNra2ump6fH3N3dJR5PU1OTpaSkMMYYq1KlCrt9+zZjLH+3Et8YC+jo6HCryKVZSkpKsa/HvLw87ndTGjRs2JCdOnVK5PipU6eYo6OjAiISVbCyKRAI2MWLF4VWO6OiotiCBQt4n6cMDQ25VVNdXV3u3HLhwgVmb28vk/jT09PZ7du32evXr8X+GXmvJMtrdV6W9PX1mYGBAVNSUuI+L/jQ1dVlSkpKbNSoUWKP970dTrLa7fS9/0+TJk1YfHy8VGPLkrq6OreLpvDunHv37vHaRcOY7HYOF3B2di52p6OsPH78mE2bNo317duXuw4IDg7mtXsmLCyMZWdnixzPzs5mYWFhUsdaIC4ujg0ePJipqKjweq5WqlSJ2+1Uu3ZtbrdvfHw809DQkCq2/v37s6ZNm7LIyEimpaXFQkJC2M6dO5m1tTU7efIk73GTk5PZlClTWPfu3Zmbmxvz8fFhycnJvMdr0KABu3LlCu+fL87KlSuZtrY2Gz16NFNTU2PDhw9nbdu2ZXp6emzq1Km8xhw6dChzc3Nj3759Y9ra2iwpKYmlpKQwBwcH5uXlxTvW5cuXc9kMoaGhTENDg6mpqTElJSXm7+8v8Xhubm5MT0+PmZubs86dO8vsfkceGTNjxoxhhoaGzNDQkHl5ebG4uDiR70lJSWECgUCicdetW8cqVarE5s2bJ7Qjedu2bczZ2ZlXrIwxFhISwlatWsVWrlzJzp07x3ucAq1atWKBgYEsIyND6rHktRM9OzubKSsrF/u3kdaTJ0+++0HKHqpBRyQij1phhQkEArRv3553S/jCtLS08PXrVwBAtWrVkJiYiHr16gGARK2sf9RwoTC+u5NUVVW5FTpjY2Okpqaibt260NPTk6gGSQH2/6smRf3333/F1hKShL+/P3x8fLj6AbLQokULnDt3Dra2tujduze8vLwQGhqKc+fO8S4+vmDBAqxYsQKjR4+Gjo4OVq5cCXNzcwwfPpxXvQN51XUDgD///BMhISEYMWKEVOMU9uDBA6xevZorclunTh14enqKrApKwtzcHC9evBDZ7fXu3TuYm5tLVdtQluLi4ortkmlubi7x6nFhHz58QGRkZLF1AiXdlWpvbw+BQACBQFBsx0INDQ2sXr2aV5y5ublcZ+VKlSrh+fPnsLa2hqmpKR48eCDxeNnZ2bC2tsbJkydhY2MDIH8XkKTdUWVdF7KoNWvWoFu3bjAzMxNZnd+1a5dc/9/i8vf3B2MMHh4emD17ttD5WE1NDWZmZhLVM5V1jSBx/z9KSkowMjKSqgnDjBkzMGvWLKGaeUB+Q4oRI0bwqhlYr149XLlyRWRn14EDB+Dg4MArzk2bNnGv9xEjRnAFybt06cLrnD1q1ChMmDAB//33n0w6IxYWFhaGjh07olmzZrh8+TLmz5+PypUrIzY2Flu2bMHBgwclGs/FxaXYc35B8xW+5/z4+Hhu91xYWBhyc3PRvHlzLFu2jNfOSQcHB65xjYuLC2bOnIk3b95g586dsLW15RVjgdDQUBw7dgwNGzaEkpISTE1N0a5dO+jq6mLhwoUSd7AuYGZmJvFOwe9ZvHgxJk+ejAULFsDW1lak1hefmo6yqL9YlJ+fH/744w9UrlwZmZmZaNWqFdLS0tCkSROxGq6UxNvbm/vcxcUFCQkJuHXrFiwtLXnVX9PX15fJfU1R3t7e6NKlC5cxc/36daGMGT7u37+P1atXo2fPniVmMlSrVk3i9+DVq1dj8+bNcHNzE3quNmjQQKq64+3atUO7du14/3xRv//+O7d7vHfv3hgyZAi3i1xSY8eOhZeXFx4/flzsTvTCu8klOVerqKjA1NRULtfJpXU3NpBfb1ccfOrulmeU4kokYmdnh+HDh3OTHnfu3BGa9Jg9e7ZU41+4cKHEluYBAQESjeXm5oZOnTph6NChmDx5Mo4cOQJ3d3ccPnwYBgYGOH/+vFjjFN06XLBtuOgxgF+qAwC0b98e7u7u6N+/P0aMGIHo6GiMHTsWO3fuxPv373Hjxg2xxnFwcIBAIMCdO3dQr149LhWxILbk5GS4urpi//79vOIE8tuEZ2RkICcnB5qamiIXgXwu2t69e4esrCxUq1YNeXl58PPz41InZ8yYAQMDA4nHlHXarI+PD3R1dTF16lQcPHgQ/fr1g5mZGVJTU+Ht7S3VhfbChQuxfPlydOrUqdgLa0lTHgria9CgAXezf/36ddy8eRN79uzBn3/+ySvOktLyUlJSYGNjw7uLsazTPRwdHVG3bl1s3bqVm0D4+vUrPDw8EB8fzyst58SJExgwYADS09Oho6MjNAEuEAgkft6npKSAMcaloBb+naqpqaFy5coiExfiatGiBSZMmAA3Nzf0798f79+/x/Tp07Fp0ybcvn2bVzfP6tWr4/z58yJdvfjIycmBuro6YmJi8Ntvv0k9XlHnzp0TKkHQtm1bmYwry+dp4VTPX5WpqSmqVq2K3bt3c+nNly5dwqBBg1C9enWuWL4kTpw4gYEDB+Lff//FnDlzMHv2bDx48AA7duzAyZMnZXpTyJesOyMW1qRJE/z5558YP368UPrgzZs34ebmhmfPnkkca3Hn/IcPH6JBgwa808YLJnjHjRuHrl27counfH2vG/a2bdt4TdAUkEf3wcuXL3/38YLO1pIoeF4VXZyV5nklj87tBUJDQxEVFYW8vDw4OjrK7Dxd2skzHVvWNDQ0kJCQAFNTU6HzyaNHj2BnZ8cr3fPChQtYsWKF0OLxuHHjpP775+bm4uTJk9i2bRtOnz4NKysreHh4YODAgTA2NhZ7nO+VswCkO1dv27YNBw4cwK5du6TuCFscWTUGe/v2LWbOnImLFy8Wez8uyfXujxbGHj58iKysrFKzwF9a/LpXhoSXxMREbrWwQoUKSE9Ph0AggLe3N1q3bi3VBN3s2bMxZ84cNGjQoNiW5pJavnw5vnz5AgCYNWsWvnz5gn379sHKykqi9uiFT0znz5/HlClTsGDBAjRp0gQCgQDXrl3D9OnTsWDBAt6xLliwAJ8/fwYAzJ07F4MHD8bIkSO5i0txFdTWiomJQYcOHbhdNMD/dmf07NmTd5yA7DvQ5eTk4MSJE+jQoQOA/DfHyZMnY/LkyVKNW7FiRe53Wr16ddy9exe2trb48OEDrwvqwhNwvXr1gomJCa5evSp1XTcgf4eGtrY2wsLCRGqdCQQCiW/+J0+ezN2gFubr64spU6ZIPEFXUDtMIBBgxowZQp33cnNzcePGDd41CeXRfW/Dhg3o0qULTExMuBuzO3fuQCAQ4OTJk7zinDBhAjw8PLBgwQKRzpt8FKx4yqOj2/Tp07nJ0nnz5qFz585o0aIFDA0Nue5mkvL09MTixYuxZcsWqSeV5LmSDMh+dR6Q/fNUR0cH8fHx3O6eY8eOYdu2bbCxscGsWbPErudY2I86tUq6y3PVqlUYNmwY1NXVsWrVqu9+L5/XaWxsLIYPHw57e3ssX74cDx8+xMqVK+Hj4wNfX1+JxwPy6y/u27cPCxYsgEAgwMyZM+Ho6IgTJ05I9ZzIyspCbGxssTcrkp7/5bnrMS4urth6qEZGRhJNphTUvRUIBHB3dxfaJZ6bm4vY2Fg0bdqUd5xjx47F5cuXMWvWLBw9ehTOzs5wdnZGixYthK5bxCXPbtjy6D7o7OwscqzwNS+fc6M8dijLo3N7gdatW6Np06aoUKGCTGq8lXSOEggEUFdXh5WVFVq2bMl74UtWZJ0xA5Sc6VP4315cVsGPmJubIyYmRmSHVnBwMLebXhJr1qyBt7c3evXqxe0WvH79Ov744w8sX76cd4dQIL9jebdu3dCtWze8fv0aGzduxIwZMzB16lT88ccfGDt2bLHZCkXJ8/y8atUqPH78GNWqVYOpqanI7mk+i8cAkJSUhO7duyMuLk5oEwnfzSN//fUXEhMTMWTIEBgbG0v1+oyOji72eExMDHx8fHDv3j0MHTqU9/jllmIya0lZJY9aYQWqVKnCduzYIXWM8lSvXr1ia3xcvnyZ1alTRwERFW/79u0sMzNT0WGIrXCXPFnp168fW7ZsGWOMsXnz5jEjIyP2zz//MFNTU4nrh3z79o25u7uXiTpxjOX/PovriPnw4UNe9XgKaoMJBALWtGlToXph7du3Z8OGDWMPHz7kFau8uu+lp6ezjRs3Mm9vbzZu3Di2adMm9uXLF97jaWpqyuXvv337dqE6RpMmTWJ6enqsSZMmMn1NvH37lnc9T8by6/Ho6OiwqlWrsvbt20tdjycgIIB17NiRvX37lndMP5Osn6cNGjRgBw8eZIzl17GsUKEC69evH7OysuJdh0lfX1/oQ0tLiwkEAlahQgVmYGAg8XhmZmbszZs33OclfUjbaXzq1KlMIBAwVVVVdv78eanGkofg4GCuThTf2n4ODg7s3bt3jLH8TrPp6elyibV69ers6tWrjDHhGnyHDx+WqNuyu7s7c3d3ZwKBgPXp04f72t3dnQ0bNowtWLBAovqTJXn//j07fvw4mzBhAmvQoAGrUKECa9SokdTjypI8ug9++PBB6OP169csJCSENWrUqFS9BmRdf5ExxnJzc9mcOXNYtWrVmLKyMvccnT59ulAHTkmZmZlx57yKFSsyAwMDrrabsbExEwgEzNLSkqWmpoo95oEDB9iff/7JGjVqxBwcHIQ++GrXrh3bvXs3Y4yx4cOHMycnJ7Zr1y7WoUMH5uTkxGvMkmqEFu6K3bJlS+4cJK6AgABWvXp1FhQUxLS0tNjevXvZvHnzuM8lVa1aNbZ69WqR42vWrGFVq1aVeLzi3Lhxg40YMYLp6emxmjVrspkzZ7KhQ4cyTU1NNmHCBJn8P/iaNWvWdz/46ty5M+vWrRt79eoV09bWZvfv32dXrlxhTk5O7PLlyxKPp62tLbfOz0lJSWzAgAFMRUWF9e7dm/e9Q3lHE3REIrKc9CiqYsWKXFMHWfv8+TP7+PGj0Acf6urq3ARlYXfu3GHq6urShlnmZGRkyOT3Ko+i2W/fvuWKxefm5rLFixezLl26MG9vb4kvUhjLb95RViboOnbsyAICAkSOBwQEsPbt2/Me193dnX369Ema0ETIukGKvHTv3p3t27dP5uPWrl2bXbhwgTGWv9ChoaHBNm7cyLp06SKTxjuyUvgGvbgPSdnb2zNtbW1WoUIFVrt2bZnd/MiLrJ+nurq63PvdokWLuNdleHg4q1Gjhoyizp+Ub9OmDVc0v7RZtWoV09DQYP3792fW1tbMxsZGbjcGfFlaWrJRo0axtLQ03mOoq6uzp0+fMsZKbuIkC5MmTWLNmzdnL168YDo6OuzRo0csPDycWVhY8LoBnDVrllQLGz/y9u1bdvjwYebp6clsbW2ZkpISMzY2Futn7e3tRc4bJX3IEp8GOeIKCwuTqJHRnTt3WG5uLvf59z74yM3NFWoSsm/fPubp6clWrlzJvn79ymvM2bNnMwsLC7Zr1y6hxgP79u2Tqgj/nj17mLOzs9B9xKNHj1jr1q1ZUFAQe/r0KWvWrBnr2bOnWOPJo0EGY4zdvHmThYaGMsYYe/XqFevYsSPT0dFhDg4OvM9958+f5yZ3P336xD59+sTOnz/PGjduzE6dOsXCw8NZvXr1eE2qbtq0idWsWZOb9KtRowbviVRtbe0SF4/5NvFhjLGXL18yPz8/Vq9ePaampsZ69uzJgoODhRYlz507J9H/4969eyw4OJgdO3ZM6KM0knVjsAYNGrCIiAiZxvj69Ws2ZswYpqamxlq3bs0iIyNlOn55QzXoiETkUSuswJQpU6CtrY0ZM2bIJNbk5GSMGTMGly5dQlZWFnecSVGPo2XLllBVVcWuXbu41Ia0tDQMHDgQ3759E0lPFNfLly8xceJErv5e0ZelpLHm5uZixYoV2L9/f7H1CPgW9wXy6zBNmTIF+/fvLzZlhs/v9cCBA/Dx8YG3t7fMi2bLyt9//w1bW1su3VPW/vvvPxw/frzYv9fy5cslGmvDhg2YOXMmevfuLVTk9sCBA5g9ezaqVavGfa846VkF6U4/cvjwYYniBPLTka5evYratWvD2toaq1atQocOHZCQkABHR0de6cgAsHPnTmzcuBFJSUmIiIiAqakpVqxYAQsLC3Tr1k2sMQqnjbx+/Rpz5szhngdF6wTyTXPW1NTkWs1PmTIFL168wI4dO3Dv3j04Ozvj9evXYo0j7t8I4Pd3krUflUPgm+IoL7J+nurq6uL27duoVasW2rVrh86dO8PLywupqamwtrbmVdunJLdu3cJff/1VqmobAUDHjh1x8+ZNbNiwAb169UJmZibGjx+P7du3Y/bs2WKXOTAwMBA7BYfPe5+uri6io6O5Onl8NGnSBNra2mjevDlmz56NiRMnlpjKKU2x7OzsbLi7uyMoKAiMMaioqCA3Nxf9+/fH9u3bFZ7eV2Ds2LEICwvDvXv3ULFiRbRs2ZJLcxW3LqUkJVVK2/mkJPHx8WjYsCFXnuVHlJSUkJaWhsqVK0NJSanYGskApK5tKEtWVlbYuHEj2rRpI1TXLCEhAU2aNMH79+95jWtpaYlDhw6JlNuIjo5Gz549kZSUhGvXrqFnz55i1SCuU6cOfH190a9fP6E4CxpkrFmzhlec8vDbb79h06ZNImnnV69exbBhw3Dv3j2cP38eHh4evNNo37x5g7y8PJGGMZIYMGAA7O3tMWnSJKHjfn5+uH37Nq/GQEB+CR9LS0t4eHjA3d1dpGYmAHz69AndunX7YSq4rNNFi/rw4QMOHjyIxMRETJo0CRUrVkRUVBSMjY1RvXp1XmMaGBjg9u3bsLCwgKWlJbZs2QIXFxckJibC1tZW4uuTmzdvwsfHBzNnzsRvv/0mVcOZ9PR0+Pn5Yfny5bCyssLChQtl0giyvKMadEQihYtayqpWWIGsrCxs2rQJ58+fh52dncgJQdJJigEDBgDIby4hbQ59gYCAAHTv3h2mpqaoWbMmACA1NRW1a9fG0aNHeY/r7u6O1NRUzJgxQyb192bPno0tW7Zg/PjxmDFjBqZNm4YnT57g6NGjUnfKmTx5Mi5evIh169Zh0KBBWLt2LZ49e4aNGzfybpTQp08fAMXXMZLkwlKSgtWSdjSzsrLC3Llzce3atWInEfnUYCpw4cIFdO3aFebm5njw4AF+++03PHnyBIwxiTtlAvldAoH8Dmzr1q0r9jFA/N+ttJ1/v0ce3ffWr1+PmTNnYty4cZg3bx73bzQwMIC/v7/YE3QFNR0LK64jlTQ3P9ra2nj79i1q1qyJkJAQrhOdurq6RJM08vwbAUBmZiYYY1z9vZSUFBw5cgQ2Nja8LrbKyg1zAVk/Txs0aIB58+ahbdu2CAsLw/r16wHkLyxJUtBaHMrKynj+/LlUY5S0MFG4xlG3bt0kKnydk5OD2NhYbsFAQ0MD69evR+fOnfHPP/+IfW1RuC7q27dvMW/ePHTo0IFrkBMREYGzZ8/yXvzr1asXLl26JNUE3fbt2+Hr64uTJ09CIBAgODi42FqOBXXz+FJVVcXu3bsxZ84cREdHIy8vDw4ODqhVqxav8WS9eFjg+fPnGDp0qEQTckXJ8xwiyUKcpNemAIQ6QQL5C8cvXrzAokWLJGpokZyczE1GyKp2VtHYvofP4umzZ89gZWUlcjwvLw/Z2dkSj1fgxYsXyMnJETmek5ODtLQ0APmdTAtqE/9IamoqN+GloaHB/dzAgQPRuHHjUjVBl5iYWOw1ra6uLpKSkgAAtWrVwps3b3j/PypVqsT7ZwvUrVsX8+fPx6VLl4QamF29ehUTJkwQqiMoyTX1hQsX0KJFi+9+j66urlh1Gr28vGBubo7z589zTbzevn2LCRMmwM/PT+yYihMbG4u2bdtCT08PT548wdChQ1GxYkUcOXIEKSkpP6wjW5LffvsNsbGxsLCwQKNGjbBkyRKoqalh06ZNsLCwkHg8fX19fPz4UaRmH58NLpaWlvj8+TM8PT3Rr18/CASCYs8xpWEjRmlCO+iIRJSVlfHixQuRFZS3b9+icuXKUq0suLi4fPdxSQvgamtr4/bt27C2tuYdU3EYY8V2CZRmUk1HRwdXrlzhXWi/KEtLS6xatQqdOnWCjo4OYmJiuGPXr18vtoi0uGrWrIkdO3bA2dkZurq6iIqKgpWVFXbu3Im9e/fyKs6ckpLy3cfFbSFesIL8PXx3UH6vwK5AIOAugvhwcnKCq6sr5syZw63UVq5cGQMGDICrqytGjhzJe+zSTh7d92xsbLBgwQK4ubkJrXzfvXsXzs7OUl2kytqAAQOQkJAABwcH7N27F6mpqTA0NMTx48cxdepUiTuuMsaQmpoKIyMjmTSzKNC+fXv06NEDI0aMwIcPH2BtbQ01NTW8efMGy5cvLxXP0dOnT0NZWZlrOFPg7NmzyMvLQ8eOHXmPLevnaWxsLAYMGIDU1FSMHz+em2zw9PTE27dveZ2jixYKL7jpX7NmDUxMTBAcHCzxmAVcXFwQFRWF3NxcWFtbgzGGR48eQVlZGXXq1MGDBw8gEAgQHh7Oq3h4UW/evOF1Q9izZ0+4uLiIFBtfs2YNzp8/z2shLSMjA3/++SeMjIxk0mW78K6n0q5jx45ITU3FmDFjil08FHexo7Ds7GwMGzYMM2bM4HXz+DP86Hq0gEAgQGhoqMTjl7TbrXHjxggICECdOnUkHlNWvrcTrzC+C1MNGjTAuHHj8Ndffwm9P8+ePRvnz5/HlStXeMXdqVMnpKWlYcuWLVznyOjoaAwdOhRVqlTByZMnceLECUydOhVxcXE/HM/CwgIHDx6Eo6MjGjZsiH/++QfDhw9HSEgI+vbtyzsTxcHBodjr1MKLHe7u7mI/BwGgefPm0NHRwY4dO7gJ29evX2PQoEFIT0/H5cuXcf78eYwaNQoPHz5UWKziNqqQ9ppaGpUqVUJoaCjs7Oygp6eHyMhIWFtbIzQ0FBMmTCix6YE42rZtC0dHRyxZskTouX/t2jX0798fT5484TXu2bNnkZ6ejh49eiApKQmdO3dGQkIC1xhMnOYYhTk5OUFFRQVeXl7FbnBp1aqV2GMV7opb9Lwiq+7l5dLPy6Yl5YFAICi2dsqzZ89KXQ02Z2dndu7cOUWHIZa6deuyqKgomY2nqanJUlJSGGP5zTdu377NGMsvRi5tMw8tLS2ueH316tXZjRs3GGP5hT/51pAoKETOGGOpqalsxowZbOLEiRIXN7106ZLYH6WJtrY2VzdFX1+f3b17lzHGWExMDDM1NRV7nOvXr7PTp08LHQsMDGRmZmbMyMiIDR06lGVlZcksbmnl5eWxJ0+esIyMDJmOq66uzj1HCxdKf/jwocTnqQsXLrC6desWW1/xw4cPzMbGhlcR3gLv379no0ePZl27dmXBwcHc8ZkzZ7J58+ZJPF5ubi5TVVWVeeFdQ0ND7nm5efNmZmdnx3Jzc9n+/ft5NcgpKFxd0gcftra27NSpUyLHg4ODmZ2dHa8xf7bMzEz27ds3Xj9bXIFwY2Nj1q9fP/b8+XOp4lqxYgXr0aOH0Ovg48ePrFevXszf35+lp6ezbt26SVzj8vLly2zAgAGscePG7L///mOMMbZjx45imzGJQ0tLS+Y1jjZv3syUlZWZtrY2MzU1lWmDjALv3r1jq1atYvXr15dqnJycHLZlyxbWr18/1qZNG+bi4iL0ISltbW0WHR0tVUzFkXVN15ycHLZ06VLWsGFDZmxszAwMDIQ+SpsnT54IfaSmpsqksVdCQgIbPXo0a926NWvTpg0bPXo0V4+Kb2zf++Dj+PHjTE9Pjy1atIhpamqypUuXsn/++YepqamxkJAQXmMyxtiLFy9Y27ZtmUAgYGpqakxNTY0pKSmxdu3acfUjQ0ND2dmzZ8UaTx4NMhhjzMfHh+np6bHmzZuz8ePHM29vb9aiRQump6fHvLy8WLt27ZiSkhI7evSo2GMmJCQwa2trpqamxiwtLZmVlRVTU1NjderUYQ8ePGCMMXbkyBGJG/HJI1Z5kVVDD319fe7cZGFhwdULfPz4Ma8ma4UVrj1b+Nr0yZMnrEKFClKNXZQ0jcE0NDQkPm+URJ7nkvKMUlyJWAq2HQsEAmzZskWodkpubi4uX77Me8VPnNpJAoEAhw4dkmjcLVu2YMSIEXj27FmxOfR8ttPKq427v78/fHx8sHHjRpiZmUkcV1E1atTAixcvULNmTVhZWSEkJASOjo64efMmKlSoINXYFhYWePLkCUxNTWFjY4P9+/fDyckJJ06cgL6+vkRjxcXFoUuXLnj69Clq1aqFoKAguLq6Ij09HUpKSlixYgUOHjxYbKphcSRZ1ZHUnDlzMHHiRJFdSZmZmVi6dKlUaUlaWlr4+vUrgPwUjMTERNSrVw8AJNrtNWvWLDg7O3M7heLi4jBkyBC4u7ujbt26WLp0KapVq4ZZs2bxjlWWGGOoVasW7t27xzsFqzjm5uaIiYkR2XkZHBws8e4ef39/DB06tNj0ET09PQwfPhzLly//YXpFSfT19YtNlZGkvlJhSkpKqFWrFt6+fSvT32lGRgZ0dHQAACEhIejRoweUlJTQuHHjH+6ALc6RI0eEvs7OzkZ0dDQCAwN5/9sfPXpU7N+3Tp06ePz4Ma8xfzZ1dXXeP5uXlyfDSIQtXboU586dE3od6OrqYtasWWjfvj28vLwwc+ZMidKdDx06hIEDB2LAgAGIjo7mzoGfP3/GggULeO3GNjQ0xJEjR0RqHB09ehSGhoYSjwcA06dPx5w5c+Dj4yO0G0AWzp8/j61bt+Lo0aOoVKmSRLUki+Pl5YXt27ejU6dO+O2336Qul2FiYvLDnVR8dO/eHUePHpVZTVd5lvUo8PjxYyQmJqJly5bQ0NDgdn7wERYWhj59+ohcj3379g1BQUEYNGiQxGMePHgQ/fr1Q4MGDYTSB3/77Tfs2bMHf/75p1jjiJuxwFeXLl2wb98+LFiwgEvpdnR0xIkTJ9CuXTve41apUoXLbnn48CEYY6hTp45QFo0ku9I2bdrEnVNHjBiBihUrIjw8HF26dJFqx/ibN28wYcIEkZT7efPmISUlBSEhIfD19cXcuXPF3qFqbW2N+Ph4hISE4MGDB9y/vV27dtw5S9zraHnHKg+rVq3CtGnTMHjwYBw7dgx///03EhMTcfPmTYwePVqisWSdLlqYurp6saV4Hjx4UGzdPGlIUm6iqAYNGuDp06cyyUCT9/mk3FLo9CApMwpWiwUCATMxMRFaQa5duzZr3749u379Oq+xf9QdkG+XwIiICGZubl5iy3E+5NHGnbH8FZuC1T5tbW2pV3+nTJnC5s+fzxjLX1VSUVHhVtSmTJki8XiFLV++nK1cuZIxlr8aqaGhwcXu7+8v0Viurq6sc+fO7MqVK2z48OGsevXq7O+//2a5ubksNzeXjRo1ijVq1Ih3rO/fv2d+fn5syJAh7J9//mHLly9nHz584DVWSZ333rx5w/v5VKBbt25s06ZNjLH8LnxWVlZs3rx5zNHRkbVp00bscapUqcJu3rzJfT116lTWrFkz7uv9+/ezunXrShWrrNnY2Mi8W1RAQACrXr06CwoKYlpaWmzv3r1s3rx53OeSqFmzJtexszjx8fHMxMREojHl3Xnv5MmTrHnz5iwuLo7XzxfH1taWrVy5kqWmpjJdXV127do1xhhjt27dErvrojh2797NunbtyutnjY2NuY64hZ07d44ZGRlJFdebN2/YqFGjWN26dZmhoaHU52h57CAsLC8vj/fqeXG0tLTYxYsXRY5fvHiRaWtrM8byd2jr6OiIPaa9vT0LDAxkjAnvJoiOjub9nNq2bRtTUlJif/zxB5s7dy6bO3cu69SpE1NWVmbbtm3jNaaBgYFMO8ynpKSwWbNmMVNTU2ZoaMiUlJTYwYMHZTK2oaFhsbtI+Tp79ixr3749S05OltmYjDE2b948pq+vz3r27MkWLFjAVq5cKfQhKQsLC3by5EnGmPCO9JUrV7J+/fpJFeubN29Y69atuddswfPUw8ODjR8/nteY8rieMDc3ZzNmzBA5PnPmTKl2ej548IBt3LiRzZ07l82ePVvoQ1LZ2dls1qxZEl8jlybv3r3jzlt86OrqFrvL99GjR1yGS3x8PHde/Z6OHTsKXdPOmzePvX//nvv6zZs3Ul3zyTLWAk+fPmVr165lU6ZMYd7e3kIffFlbW7M9e/YwxoTfS2bMmMFGjx4t0Vhnzpxhhw4dYozl75qrW7cuEwgErFKlSuz8+fO8Y2SMsaFDhzI3Nzf27ds3pq2tzZKSklhKSgpzcHBgXl5eEo3VvXt3sT8ktX//fmZjY8O2bdvGbt26JZPrUiIZmqAjEnF2dmbv3r1TdBhiqVu3LuvRowe7fv06S05Olsl2Wlm3cS+wffv2735I6/r162zZsmVyaRGekpLCDh06xKs9fOHW4J8/f2YCgUBogik+Pp7p6enxiuvmzZusYsWKrHr16qx79+7Mzc2N1ahRgxkaGnIpv5IQCATs1atXIscvXLjAKlWqxCvGAomJidzvIT09nY0cOZLZ2tqy7t27S/RcrVChgtCFb7NmzdjcuXO5r5OTkyW6kPoZ5DGZxBhjmzZtYjVr1uQm52vUqMG2bNki8TgVKlQo9gK1wKNHjyROmy1cKqDwwoGsFhIKT/irq6vLJN3rwIEDTFVVlSkpKbG2bdtyxxcsWMBcXV15jVmcx48fM01NTV4/O3ToUGZraytyfrazs2NDhgyRKi5XV1dWq1YttmjRIrZt2zapz9FHjx4V+jhw4ACbOnUqq169Oq/naYEtW7awevXqcSle9erVY5s3b+Y9XoH+/fszc3NzdvjwYfb06VP233//scOHDzMLCwv2119/McYY27t3L/v999/FHlNDQ4Ob+Cl8U5WYmChVus/169dZ//79mYODA7O3t2f9+/fnvYDIGGPjxo3jFryksW/fPtauXTumqanJevXqxY4ePcq+fv3KVFRU2L1796QenzHGqlatyqW0yYKsFw8LFF7kLfrBZzJJnmU9Bg4cyDp06MCePn0q9Dw9e/Yss7Gx4TVmSdcTMTExvH+vGhoaJaZ3803N27RpE1NWVmbGxsasfv36zN7envuQNHWwgJaWlswnfBmTfXp3SWJiYqRaRKlcuXKxE3yBgYGscuXKjDHG7t27xwwNDX84VtGJXh0dHaHU8bS0tFITK2OMnT9/nmlqarJ69eoxFRUVZm9vz/T19Zmenp5UfyMNDQ3uWtnIyIi7H3n48CGrWLEi73ELSJMuWtjHjx9Zs2bNmL6+PlNWVmYmJiZMRUWFtWjRgn358kWiscTd3MJng0vRchmyuC4lkqEUVyKRoo0acnJykJWVJZTyWlqkpKTg+PHjxXaL4mv69Ok4dOiQUDc3Kysr+Pn5cW3clyxZgp49e0o07uDBg2UWY3EFmBs1aoRGjRrJZOz27dtj48aNqF27NoD8phEFHW0l9e7dO1SpUgVAflMPLS0toW3ZBgYGYnfcKsrb2xtdu3bF5s2buW55OTk5+OeffzBu3DhcvnxZrHEMDAwgEAggEAhQu3ZtoZSW3NxcfPnyBSNGjOAVY4HC2+Y1NTVFOq+Ky9jYGMnJyTAxMcG3b98QFRUllC74+fNnkVRvRfvrr7+QkZGB+vXrQ01NDRoaGkKP8y3EPHToUAwdOhRv3rxBXl4e74Ls1atXR1xcXInnkdjYWFStWlWiMeXRea+wwl0tZaVXr15o3rw5Xrx4IdTMpk2bNlKn5RXIzMzE6tWrUaNGDV4/v3TpUri6uqJOnTrcGP/99x9atGghdfe18PBwhIeH82paUpzi0oF69eqFevXqYd++fRgyZIjEY86YMQMrVqyAp6enUAdTb29vPHnyBPPmzeMd78aNG+Ht7Y2+fftynRJVVFQwePBgrFixAkB+KvGWLVvEHrNq1ap4/PixSFmH8PBwqVKJGjVqhN27d/P++aJyc3OxZMkSnD17VqoO8/3798fkyZNx6NAhLl1c1iZMmICVK1dizZo1MulcL49zCSD78548y3qEhITg7NmzIuelWrVqSZzeX1B0XyAQoE2bNkKdfHNzc5GcnAxXV1decTo7O+PKlSsi71Xh4eG8SzDMmzcP8+fPx5QpU3j9fHHatm2LS5cuwd3dXWZjArJP75YXT09PjBgxArdv30bDhg0hEAgQGRmJLVu2YOrUqQDyi/4XNLr4HlYk/bzo16UpVgD4999/MWHCBK4h2qFDh4QaovFVpUoVvH37FqampjA1NcX169dRv359JCcni/07Eec6RkVFBVWqVEG7du3QpUsXiePU1dVFeHg4QkNDERUVhby8PPz+++9o06aNxGNt27ZN4p8RlzyuS4lkaIKOiOX06dN4+/YtBg4cyB2bP38+5s6di5ycHLRu3Rr79u2DgYGBAqMU1rp1a9y5c0emE3SybuNenMzMTJFW88XVvyqJqqoqjhw5IlIzQhZUVVVx9+5dmV74FB1LVmPfunVLaHIOyH9znTx5Mho0aCD2OP7+/mCMwcPDA7Nnz4aenh73mJqaGszMzLibYUVzdXWFj48PFi9ejKNHj0JTU1Powjw2NlZocrk0WLFihcwvpDdv3gxnZ2fUqlWLVyfIwv744w/MnDkTHTt2FKkPlpmZCV9fX3Tu3FmiMQvX5NDT0yuxdiPfummynPAXd/Lt8OHDYn2fh4cH/P39YWpqKvR3Z4zh8+fP0NTUxK5du3jFqqenh2vXruHcuXO4c+cONDQ0YGdnh5YtW/Iar7A6deogMzNT6nF+pFGjRhg6dCivn12/fj02b96Mfv36cce6du0KOzs7eHp6SjVBp62tjc2bN2PFihVISkoCYwyWlpZCi3OSdiEfPnw4vLy8EBAQAIFAgOfPnyMiIgITJ06USd0wad9LC8TFxXE3oEW7Kkty7vLw8MC6desQFhaGgQMHok+fPjK/ZgoPD8fFixcRHByMevXqiUwmivs6LSDLc0lJCm6gpXkf6N69Oy5cuIBGjRrBy8sL/fr1w9atW5Gamgpvb2+p4ktPTy+2I/abN28knvwrqAMWExODDh06CL1+Cq4nJF3gLdC1a1dMmTIFt2/fRuPGjQHk16A7cOAAZs+eLdTluWvXrmKN+f79e7Fr14mrY8eO+Pfff3H37l38/vvv0NLSEnpc3NiKCgoKwv79+/HHH3/IIky5mT59OszNzbFmzRrs3LkTQH4Nuc2bN6N///4A8mvelYbO6LKONT4+Hnv37gWQfz2emZkJbW1tzJkzB926deP9b27dujVOnDgBR0dHDBkyBN7e3jh48CBu3bol9jVM4Wv7kuTl5eHRo0fYsmULJk6ciDlz5og19o0bN/Du3TuuPnTr1q3x9OlT+Pr6IiMjA25ubli9erVUiwk5OTm4dOkSEhMT0b9/f+jo6OD58+fQ1dWVeBMN1Y1TPAGT9XQ7KZdat26Nnj17csU2r127hhYtWmDOnDmoW7cupk2bho4dO4q9kvwzbNq0CfPmzYOHhwdsbW1FLlT5XATIuo17gfT0dEyZMgX79+/H27dvRR6XtP3033//DVtbW5kVYC5swoQJUFVVxaJFi6QeS0lJCR07duTelE6cOIHWrVtzF2xfv37FmTNneLXfNjY2xs6dO0WKlp89exaDBg3Cy5cvJRovLCwMzZo1E5rwk0bBzjxxiLuL7PXr1+jRoweuXr0KbW1tBAYGonv37tzjbdq0QePGjTF//nxeMf9smZmZIjvqxFGnTh08fPgQVapUQatWreDs7IxWrVrxamTz8uVLODo6QllZGWPGjIG1tTUEAgHi4+Oxdu1a5ObmIioqCsbGxhKPDQBNmzZFaGioyOTfgwcP0KZNG/z333+8xk1MTMS2bduQmJiIlStXonLlyjhz5gxMTEy4BiTi+Pvvv8X6PnFXc5WVlfHixQucPn1a6PmvpKQEIyMjNGrUqFQt9BS4efMmfHx8MHPmzGKbDvGZ+CkqMzMT//77L4KDg/HgwQOJf97AwACRkZEizUEePnwIJycnfPjwQeoYZW3atGlYsWIFsrKyAAAVKlTAxIkTMXfuXF7jZWRkYPLkyTJ7L5W1zMxM7N+/HwEBAbhx4wY6dOiAU6dOISYmBr/99pvU4//o9cpn14WsziVF7dixA0uXLsWjR48AALVr18akSZOEFoL5un79Oq5duwYrKyveEz4FOnXqBEdHR8ydOxc6OjqIjY2Fqakp+vbti7y8PBw8eFCi8XJzc7Fz50506NBB4t3X3yNuAxOBQCD262DIkCFo2LCh1FkChX0vTkliK6patWq4dOkSl90hL3fu3IGjo6PCzyVA/vtpWloatyO/4Plpbm4OIP/6pVq1aqUiViB/p1toaChsbGxQr149LFy4EF27dsWdO3fQrFkzfPnyhde4eXl5yMvL467P9+/fj/DwcFhZWWHEiBFQU1OT5T8Dp06dwsiRI5GamirW93fs2BHOzs7cTtS4uDj8/vvvGDx4MNfAbfjw4bwbuKWkpMDV1RWpqan4+vUrHj58CAsLC4wbNw5ZWVnYsGGDxGMmJibC398f8fHxEAgEqFu3Lry8vHgv8rdu3RqHDx8WWZD+9OkT3NzcEBoaymvc8oom6IhYKleuLLSNefz48bh//z7OnDkDIH+HnZeXF3ehVRrI4yIgLS0NAwcOxIULF7gbtJycHLRp0wY7d+6EsbExLl68yKWCimv06NG4ePEi5syZg0GDBmHt2rV49uwZNm7ciEWLFmHAgAESxTl//nz4+fmhTZs2xa5Qjh07VqLxCvP09MSOHTtgZWWFBg0aiIwtySStrG/+Cxs7diyOHDkCPz8/NG3aFAKBAOHh4Zg0aRJ69uwpcepOVFQUVFVVYWtrCwA4duwYtm3bBhsbG8yaNUviC4DAwECxv1fSXQwfP36Etra2SDfhd+/eQVtbW+YXK9IYPXo01q5dK3I8PT0dnTp1wqVLl3iNm5aWhosXLyIsLAyXLl3Co0ePYGRkBGdnZwQFBUk0VkpKCkaOHImzZ88K7fbo0KED1q1bJ1Xn5U6dOiE3NxcnT57kLi7j4+PRunVr9O7dGytXrpR4zLCwMHTs2BHNmjXD5cuXER8fDwsLCyxZsgSRkZES31DKkpKSEtLS0ninHBe1atUqDBs2DOrq6iV22S4gzXnv0aNH6NevH6Kjo4WOs//v5Cjp+0nRCfqCHYQaGhrYvXs3r0kFT09PqKqqipyDJ06ciMzMzGJfZ98jSeqypDuzCsvIyMD9+/eRl5cHGxsbqUpmyPq9VJ4ePXqEgIAA7NixA1++fEGnTp3Qq1cvmaWMy4K8ziXLly/HjBkzMGbMGDRr1gyMMVy9ehVr167FvHnzpN71Jkv379+Hs7Mzfv/9d4SGhqJr1664d+8e3r17h6tXr/K6YVVXV0d8fDw3kVJaLVy4EMuXL0enTp2KXeiW5pwqa8uWLUNSUpLU6d0/eh959uwZ/Pz8SsWklzwXueXBzc0NnTp1wtChQzF58mQcOXIE7u7uOHz4MAwMDHD+/HlFhyiWDx8+wMPDQ+z3vapVq+LEiRNc9s60adMQFhaG8PBwAMCBAwfg6+uL+/fv84rHzc0NOjo62Lp1KwwNDXHnzh1YWFggLCwM//zzj8T35mfPnkXXrl1hb2/PnZ+vXbuGO3fu8O62XNK136tXr1C9enWR3e6/OpqgI2LR0NDAgwcPuFpjTk5O6NWrFyZPngwg/wbWxsYG6enpigzzp/leG3c+atasiR07dsDZ2Rm6urqIioqClZUVdu7cib179+L06dMSjfe9iz6BQICkpCSJY0xKSoKZmdl3ayUIBIJSswry7ds3TJ48GevXr+fSklVVVTFy5EgsWrRI4q3kDRs2hI+PD1dr0MbGBj169MDNmzfRqVMn3rV6cnJysHv3bnTo0IGrx/crqVWrFvr06SOUfpeens7VI7ly5YpU46enpyM8PBxBQUHYtWsXGGPFpqmL4/3793j8+DEYY6hVq5ZMdnplZWWhXbt2qFq1Kvbt24d79+6hTZs2GDBgAO8dyU2aNMGff/6J8ePHQ0dHh7tYu3nzJtzc3PDs2TOp4+ZLSUkJL1++5Fb8pWVubo5bt27B0NBQLue9Ak5OTlBRUYGXlxeMjY1FbgBbtWol0XhFJ+gL7yBMSUmROF0U+N/iiYmJiVCK29OnTzFo0CChm2txnlviLqAAki2ieHh4iPV9AQEBYo9ZQNbvpUD+OWTRokW4cOECXr16hby8PKHHpXleAfm7P06dOoWtW7ciODgYX79+lWo8IH839YMHD7jaqXxfb/I6l5ibm2P27NkYNGiQ0PHAwEDMmjWLVw2knTt3YsOGDUhOTkZERARMTU3h7+8Pc3PzYms+SiItLQ3r16/H7du3kZeXB0dHR4wePZr3DriGDRti0aJFvGpP/UyyPKdmZmbiwoULXEmIf//9V+i5rqKigjlz5ojsJhdX9+7dcfHiRVSsWFGq9G5xJ00leY7KI2MCkM8id8WKFfHw4UNUqlTph3FLWiM4KSkJX758gZ2dHTIyMjBx4kRup9uKFSskSq2MjY0V+3vt7OwkilPW1NXV8ejRI5iYmAAAmjdvDldXV0yfPh0A8OTJE9ja2vIuj1SpUiVcvXoV1tbWQufpJ0+ewMbGBhkZGRKN5+DggA4dOohkSvn4+CAkJARRUVFij1Xwd7K3t0doaKhQnfHc3FycOXMGGzduxJMnTySKsbyjCToiFktLS6xbtw4dOnTAly9fYGhoiNDQUDRr1gxA/u6iDh064PXr1wqONF9OTg7U1dVlljYib9ra2rh37x5MTU1Ro0YNHD58GE5OTkhOToatrS3vbd+yVJCaVrD60adPH6xatYp3ap+8ZGRkYNKkSTh69Ciys7Ph4uKCMWPGQE9PD1ZWVsXWkhGHnp4eoqKiYGlpicWLFyM0NBRnz57F1atX0bdvXzx9+pR3zJqamoiPj/8l6z4kJyejefPmmDhxIry9vfH582d06NABKioqCA4OFtmhKY7g4GBu59ydO3dQr149tGzZEs7OzmjRokWpS6H8+PEjnJ2dYWlpiStXrmDQoEFYunQp7/G0tbURFxcHc3NzkYu1OnXqcOmEiqCkpAQ9Pb0f3qzwbQ4iL5qamoiOjpZ6MaYkHz9+xO7du7F161bExMTw2vHg4uIi1vcpeiFFSUkJpqamcHBw+G4B7yNHjkg8tjzeS/v168fVjatatarIc9fLy0viMUvy6tUrqXaXpqencxO1BROJysrKGDRoEFavXi3x+5+8ziXq6uq4e/euSI3gR48ewdbWVuJx169fj5kzZ2LcuHGYP38+7t69CwsLC2zfvh2BgYEiDc7EVVxjLFkICQnBlClTMHfu3GKzHPimzF+4cAErVqzg0tLq1KmDcePGoW3btrIIWyobN27kysAA+emY9erV48pYJCQkYNKkSbxLs8gjvVtW5JkxIWuBgYHo27cvKlSogO3bt3/3vVqRsSopKUEgEPywCYQ0adOyYmpqip07d6Jly5b49u0b9PX1ceLECW6CPi4uDq1ateJ93VOxYkWEh4fDxsZG6DwdHh6Onj17SlzSR11dHXFxccWWy7Czs5Po/FzwdwKKb2KioaGB1atXi71w96ugJhFELL169cK4ceMwdepUnD59GlWqVOFW6IH8gvzyunHhQ0VFBaampjI/Kefm5mL79u0lrqTzvekpuOA1NTWFjY0N9u/fDycnJ5w4caLEAvLi+PbtG5KTk2FpaSl17bSiJ9bg4OBSuWPS19cX27dvx4ABA6ChoYE9e/YgLy8PBw4ckGpcxhj39z5//jy3CmxiYoI3b95INXajRo0QHR39S07QmZub4+zZs3B2doaSkhKCgoJQoUIFnDp1itfkHJCfNmpkZIQJEybg7NmzYhX//Zk+ffok9LVAIMC+ffvQtm1b9OzZEzNmzOC+h8+Nmr6+Pl68eCGyEyA6OhrVq1fnH7iMFG22UhY0aNAAT58+lfn7XGhoKAICAnD48GGYmpqiZ8+eEnVCLYzvJIS4ZFWEesSIEQgKCkJSUhI8PDzw119/Ca2qS0Me76XBwcE4deoUtyApT9Kmfo8fPx5hYWE4ceIEF294eDjGjh2LCRMmYP369RKNJ69ziZWVFfbv3891giywb98+kZtCcaxevRqbN2+Gm5ub0K6PBg0aYOLEibzjlEdjLADcDvGuXbuKpLrznVBYs2YNvL290atXL27S+Pr16/jjjz+wfPlyjBkzRjbB87R7926R1OU9e/ZwHZt37dqFtWvX8p6gU+QE3I8oetJNEoVjlXWnXVkqS51G5d3ArV27dvD398emTZsA5F9TfvnyBb6+vryaphgZGSEmJkbkXBwTEyPxe1RBJ10LCwtERkYK7eZWU1ND5cqVRcrxENpBR8SUkZGB4cOH4+TJk6hSpQo2bdokdHJxcXGBq6urTFuxS2vbtm04cOAAdu3aJbOL/zFjxnBt3ItbSV+xYgWvcVesWAFlZWWMHTsWFy9e5OpSZWdnY8WKFRKv0GdkZMDT05NbtSsoGDp27FhUq1YNPj4+EsdYtH5A4VWa0sTS0hLz589H3759AQCRkZFo1qwZsrKypHoTaN26NUxMTNC2bVsMGTIE9+/fh5WVFcLCwjB48GCptmcfOHAAPj4+8Pb2LnY1XdHb83+G69evo23btmjUqBFOnjzJqzlEAX9/f1y+fBlXrlyBsrIy1yjC2dkZdevWlWHU/BReUSyscH07aW7UJk+ejIiICBw4cAC1a9dGVFQUXr58iUGDBmHQoEHw9fWV+t/Al6xr0ElyMydNE6MDBw5g1qxZmDRpUrG1mCR5jf7333/Yvn07AgICkJ6ejt69e2PDhg24c+cObGxseMdY4PHjx0hMTETLli2hoaHBPZekIesi1F+/fsXhw4cREBCAa9euoVOnThgyZAjat28vVawlvZfm5ORg+fLlvHa7mZub4/Tp06Xi3PEjlSpVwsGDB+Hs7Cx0/OLFi+jdu7fEWQ7yOpccOnQIffr0Qdu2bdGsWTOuRuyFCxewf/9+oeZG4tDQ0EBCQgJMTU2Frk0ePXoEOzs7qTowy7IxVoGwsLDvPi5pyjwAVK9eHf/++6/IRNzatWsxf/58PH/+XKxxxo8fj7lz50JLS+uH51dJzqlVqlTBhQsXuMYiRkZGuHnzJlfD9eHDh2jYsCE+fvwo9phl0Y8aCxSUElKkkq5RChMIBBKXCykpZVYgEEBdXR1WVlZwd3eXqLxCWSDvBm7Pnz+Hi4sLlJWV8ejRIzRo0ACPHj2CoaEhrly5IvH11pw5c7BixQr4+PgI1fBevHgxJkyYwKXmEvmhCTpSbjk4OODx48fIzs6GqampyKSHJDn0BSpVqoQdO3bIvY17amoqbt26BSsrK16TM15eXrh69Sr8/f3h6uqK2NhYWFhY4Pjx4/D19RUpdC6OH3WLKi3U1NSQnJwstLqvoaGBhw8fcvUf+IiNjcWAAQOQmpqK8ePHczcmnp6eePv2Lfbs2cN77OIamkg7SVOaOTg4FHuRlpKSgsqVKwtNzvF5nRYWFxeHsLAwXLx4ESdOnIChoSFevHgh1ZjS+tHNWWF8btSys7Ph7u6OoKAgMMagoqKC3Nxc9O/fH9u3b1foamXRVHlp/ay0Tlm9Rv/44w+Eh4ejc+fOGDBgAFxdXaGsrAxVVVWpJ+jevn2L3r174+LFixAIBHj06BEsLCwwZMgQ6OvrY9myZbzHlnUR6sJSUlKwfft27NixA9nZ2bh//75UjSIKK3gvtbS0RP369XmNsWvXLhw7dgyBgYG8SyT8LJqamrh9+7bIZOK9e/fg5OQk8a53eZ5Lbt++jeXLlyMhIQGMMdjY2GDChAlcMzJJ2NjYYOHChejWrZvQBN2qVasQGBiI27dv845Tlo2x5ElHRwfR0dHFpg07ODiInd7t4uICPz8/ODg4yLTmsIaGBmJiYkrchZyQkAB7e3veadPm5ubfnVSStlakrPxo8qs0XO8dO3asxMeuXbuG1atXgzEm8cT3ihUrMH/+fHTs2BFOTk5gjOHmzZs4c+YMvL29kZycjJ07d2L16tUYOnSoxHHfv38fqamp+Pbtm9BxaTs5y4o8G7hlZmZi7969iIqK4upkFmQSSYoxBn9/fyxbtoyb2K9WrRomTZqEsWPH8l5EK65O6IoVK2BhYSF1ndDyhlJcSbnl5uYm8zHV1NRELn6kERoaijFjxuD69etCqWw1a9aEnp4emjZtig0bNgjtVhTH0aNHsW/fPjRu3FjoRGpjY4PExEResTLG4O7uzjVXyMrKwogRI0QuVqXp5icLubm5Im9yKioqvBsDFLCzs0NcXJzI8aVLl0o94VGWturLgjxem8WJjo7GpUuXcPHiRVy5cgV5eXmoUaPGT/l/fw+fSTdJqKqqYvfu3ZgzZw6io6ORl5cHBwcHXqljsibrNUF5p3UWkNVrNCQkBGPHjsXIkSNl/vfw9vaGqqoqUlNThSZo+vTpA29vb6km6MLDw3H16lWRc6upqanUTUcEAgE32Vm0bIS0atasKfWOlGXLliExMRHGxsYwMzMT2T0p7SKCLDVp0gS+vr7YsWMHV2w/MzMTs2fPRpMmTSQeT57nkt9//x27d++WehwAmDRpEkaPHo2srCwwxhAZGYm9e/di4cKFvFPGC9y9exeOjo4A8nd5ycqHDx+wdetWrl6cjY0NPDw8eKf/d+3aFUeOHMGkSZOEjh87dgxdunQRe5yLFy9yCykF51dZ1ByuUaMG7t69W+IEXWxsrFTvz+PGjRP6Ojs7G9HR0Thz5ozI70SRii6QF8S5fPly3juoZK24yZKEhAT8+++/OHHiBAYMGIC5c+dKPG54eDjmzZuHESNGCB3fuHEjQkJCcOjQIdjZ2WHVqlUSTdAlJSWhe/fuiIuLE6pLV3D/UxomPQGU+NqWNsvr7du3MDQ0hIeHB9q2bYstW7bgwYMHuHXrlsT3j0D+783b25urCw3kLwBIo2id0IK/iYGBAfz9/WmCrgjaQUeIBGTVxr1A165d4eLiIlKXo8CqVatw8eJFiYtla2pqckWSC68m37lzBy1btuSVQiCPblHyULTtPCDaeh5Q/EQikZ+uXbsiPDwcnz59gr29PZfe2rJlS97Ft+UtIyOj2JVfPjtoL1++jDp16ojsUsvOzkZERARatmwpVaxlwdOnTyEQCErFhGxhERERCAgIwP79+1GnTh0MHDgQffr0QbVq1aTeQVelShWcPXsW9evXFzrvy6LZkKyLUBdOcS3YUfj333/D1dW12N2K37Nq1Sqxv3fs2LESjQ3k10z8Hr5pnt++fSu2lq00E4p3796Fq6srsrKyUL9+fQgEAsTExEBdXR1nz57l0gsVRV6pcwCwefNmzJs3j2vYVL16dcyaNQtDhgzhFas83bp1Cx06dICGhga3k+jWrVvIzMxESEgINyEoiXnz5sHPzw/NmjXjJmOvX7+Oq1evYsKECULvfT96HRQtRaCrq4uYmBipSpp4eXnh/PnzuH37tkin1szMTDRo0ABt27bFypUref8/irN27VrcunVL4demP3Lq1CksXboUly5dUnQoQp4/fw5fX18EBgaiQ4cOWLhwIe/me9ra2oiJiRHZ6PD48WPY29vjy5cvSExMhJ2dnUS7fbt06QJlZWVs3ryZq3X29u1bTJgwAX5+frwmqcqCuLg4dOnSBU+fPkWtWrUQFBQEV1dXpKenQ0lJCenp6Th48OBPWxT/HhsbGyxYsIDbjV9wDXH37l04OztLXcu7vKEJOlKuffjwAQcPHkRiYiImTZqEihUrIioqCsbGxrwKHMuqjXsBU1NTnDlzpsTaNgkJCWjfvv0Pa1YU1apVK/Tq1Quenp5CqahjxozB48ePcebMGYnGK0vkNZEo77SE4rZ++/v7w9zcvFyuLJX0+9TV1YW1tTUmT56MHj168Bp74sSJpX5CrsDr16/x999/Izg4uNjH+TyvlJSUYGxsjMOHDwvtmnn58iWqVatWalaTZS0nJwezZ8/GqlWruMkobW1teHp6wtfXV+R8LanExET4+/tzO17q1q0LLy8vXsWdMzIyEBQUhICAAERGRiI3NxfLly+Hh4cH75VqHR0dREVFoVatWkIXwDdv3oSrqyvevn3La1wgfweNnp4eNm3axL2nGBkZoVu3bqhZs6ZE59NRo0YhKCgINWvWxN9//42//voLhoaGvGMTt8yCQCAoFWlujx49goeHB65duyZ0XFYlDTIzM7Fr1y6h1FG+qU4l1SArXDOqW7duYu8AkVfqXGFv3rxBXl6e1Gn04rz/CAQCHDp0SOKxW7RoASsrK2zevJlr4JWTk4N//vkHSUlJuHz5ssRjyvJ1II+awy9fvoS9vT3U1NQwZswY1K5dGwKBAAkJCVizZg1ycnIQHR0t1S694iQlJcHe3l6kOVNxPn36xF0z/Oj7ZX1t8ejRI9jb25ea5msfP37EggULsHr1atjb22Px4sVST3TVrFmT25lV2IoVK7BixQqkpqYiNjYW7du3R1pamtjjVqpUCaGhobCzs4Oenh4iIyNhbW2N0NBQTJgwgVdZn7KgY8eOUFFRwZQpU7Br1y6cPHkS7du353YNe3p64vbt27h+/foPxyqp9Exx+Owal2ed0PKIUlxJuRUbG4u2bdtCT08PT548wdChQ1GxYkUcOXIEKSkp2LFjh8Rj6uvrS1y8+Htevnz53ZtGFRUViYs6A8DChQvh6uqK+/fvIycnBytXrsS9e/cQEREhUf2rskheq6RFdzEWpCUEBgb+cIfFj5S09VtfX7/cbv0+fPhwsRcDHz58QGRkJP766y8EBgbizz//FHvMGzdu4N27d/Dz8+OO7dixA76+vkhPT4ebmxtWr14ttLtS0caNG4f379/j+vXrcHFxwZEjR/Dy5UvMmzdPqpTEvn37ok2bNli3bp1QJ7byvCY3ZswYHDlyBEuWLOEmJiMiIjBr1iy8efNG4kYGhZ09exZdu3aFvb09mjVrBsYYrl27hnr16uHEiRNo166dRONpamrCw8MDHh4eePDgAbZu3YpFixbBx8cH7dq1w/HjxyWOsWXLltixYweXeiQQCJCXl4elS5eKXauvJCtWrICLiwtsbGyQlZWF/v37c0Wo9+7dK9FYGzZsQM2aNWFubo6wsLAS35PEXfD6GSUCZLnY5+7uDhUVFZw8ebLYZlPS0tDQ4FW/qTjR0dGIiopCbm4urK2twRjDo0ePoKysjDp16mDdunWYMGECt7vyR2SdOrdz50506tRJaIKwUqVK3Ofp6elYtmwZZs6cKfaYBeTZafrWrVtCk3NA/vXe5MmT0aBBA15jyvJ1UJB2XvSYNIyNjXHt2jWMHDkSPj4+QmmI7dq1w7p162Q+OQcABw8eFHsC2cDAgKuRqq+vX2IzJ2km0otO/DHG8OLFC8yaNatUlKEAgCVLlmDx4sWoUqUK9u7dK7Nr0BkzZmDkyJG4ePEinJycIBAIEBkZidOnT3Pvz+fOnZO4DEhubi5Xt7RSpUp4/vw5rK2tYWpqigcPHsgk9tLo5s2b3MSkvb09Nm3ahFGjRnG70D09PdG4cWOxxpL3Ljtzc3PExMTA1NRU6HhwcLBMmmOVN7SDjpRbbdu2haOjI5YsWSI0W3/t2jX0799fqq6bsmJpaQk/P78SJ/0OHz6MiRMn8lr1j4uLg5+fH27fvs0VDJ0yZQpsbW2lDZsUsmfPHuzbt++7OwN+hLZ+i1q7di127NiBGzduiP0zHTt2hLOzM9dNOi4uDo6OjnB3d0fdunWxdOlSDB8+HLNmzZJT1JKrWrUqjh07BicnJ+jq6uLWrVuoXbs2jh8/jiVLliA8PFziMQvqB4WHh2Pw4MEYOnQoli1bhlevXpXrHXR6enoICgpCx44dhY4HBwejb9++UnUHdHBwQIcOHUQ6Ofr4+CAkJEQmdchyc3Nx4sQJBAQE8Jqgu3//PpydnfH7778jNDQUXbt2xb179/Du3TtcvXqV106/wmRVhNrd3V2sm/3SkpJWdLHvwYMHsLCwwIwZM3gt9mlpaeH27duoU6eOTOKT5LkiabF0f39/XLlyBdu2bRPaWTRkyBA0b94cQ4cORf/+/ZGZmYmzZ89KNLYsUueUlJRgbm6OY8eOFfuzpXXXsLGxMXbu3In27dsLHT979iwGDRokccq4rBUtFVJcmRCAf6mQd+/e4fHjxwAAKysrqWtwAaI7gBhjSEtLw+vXr7Fu3ToMGzbsh2OEhYWhWbNmUFFRkUunXaD47AHGGExMTBAUFMSrVqSsKSkpQUNDA23btv1ujWU+f/+rV69izZo1ePDgARhjqFOnDjw9PdG0aVPe8bZo0QITJkyAm5sb+vfvj/fv32P69OnYtGkTbt++jbt37/IeuzT70U7X0nT+27ZtG2bMmIFly5ZhyJAh2LJlCxITE7k6oX379lV0iKUKTdCRH5J3fRd50dPTQ1RUFCwtLYVOWikpKbC2tubdKUqWPD09cenSJdy8ebPYmhxOTk5wcXGR6G9Afi4+9TKKoq3foh49egQnJye8f/9e7J+pWrUqTpw4we1AmDZtGsLCwrhJrgMHDsDX1xf379+XS8x86OrqIjY2FmZmZjAzM8Pu3bvRrFkzJCcno169esjIyJB4zMIXbdHR0ejWrRtsbGywcuVK2NjYlIqLNXkwNjbGpUuXREoGxMfHo2XLlrx2IxdQV1dHXFycyA6Hhw8fws7OrlS8nwBAWloa1q9fL7QwM3r0aFStWlWqcQuKUAP5nVG3bNmCzMxMdO3atVTV95F1SiYg+8W+hg0bYsWKFWjevLlEP1eSojX7ChdJL3wMkDxlvnr16jh37pzIDod79+6hffv2ePbsGaKiotC+fXuxF5JkmTqnpKSEtm3bIiIiAoGBgSJpqaXpBrWwsWPH4siRI/Dz80PTpk0hEAgQHh6OSZMmoWfPnvD39xdrnPHjx2Pu3LnQ0tIq8blfQJJus2Wl5nBhs2bNEpr4UlJSgpGREZydnSWeDM/JycH8+fPh4eEBExMTmcZ56dKlYuO0srIS2lGpSGVtEeXs2bNIT09Hjx49kJSUhM6dOyMhIQGGhoYICgr6bjfiskxJSQkvX76EkZERAAiVNAKkP//dvn1bqIkNnw7bhZWlOqGKVjrOBKRUW7FihdDXr1+/RkZGBvT19QHkp35oamqicuXKpWqCTl1dvdgaEg8ePOBOZuJwdHTEhQsXYGBg8MMcfUl3UUyfPh2HDx9G7dq1MWbMGFhbW0MgECA+Ph5r165Fbm4upk2bJtZY4tTXKFDa63KVFZmZmVi9erXUhehp67eozMxMkUnrH3n//r1QikxYWBhcXV25rxs2bMhdGJQW1tbWePDgAczMzGBvb4+NGzfCzMwMGzZskHpSBcjfVRAZGQk3N7dye5FaYPTo0Zg7dy62bdvG7fz4+vUr5s+fjzFjxkg1tpGREWJiYkQm6GJiYqSudSVLVapUEUm5z8rKgp+fHyZOnCjxeD8qQr1ixYpSU4QakH1KJpCfRrRx40aR49WrVxe7TlLh9+fFixdj8uTJWLBgAWxtbUXKXEj6/ly4ycT58+cxZcoULFiwAE2aNIFAIMC1a9cwffp0LFiwQKJxgfzJtFevXon8rl6/fs39m/T19UWa25RE1qlzAoEAu3btwubNm9G7d29MmzZN6pITP4Ofnx+UlJQwaNAgriGGqqoqRo4cKbJL93uio6ORnZ3NfV4SSdNTS8vEizgKnoffm6AsXFtOHCoqKvDz88PgwYOljq8oW1tbbrHj6dOn2Lx5c6lb7Ni+fbvcxs7Ly8Pjx4+LbZDDt4FVhw4duM8tLCxw//59vHv3DgYGBjIvIVDauLu7c9c7WVlZGDFiBLfT9evXr7zGfPXqFfr27YtLly5BX18fjDF8/PgRLi4uCAoKkugeurChQ4di6NChMqsTWp7RBB35ocJ1Lfbs2YN169Zh69atXKv0Bw8eYOjQoRg+fLiiQixWt27dMGfOHOzfvx9A/gVKamoqfHx80LNnT4nGKTj5yfompHBNjn///VeoJkeHDh0kqslRUr2M4pS21eSyoOgbPWMMnz9/hoaGBnbv3i3V2JMmTcLo0aORlZUFxhgiIyOxd+9ebuv3r2jz5s0Sr9YZGxsjOTkZJiYm+PbtG6KiooRu1j5//ix1owBZGzduHF68eAEgvxtkhw4dsHv3bqipqfG+SB48eLBQ2mGVKlUQFhaGYcOG8So+XpoV3TFz/vx51KhRA/Xr1wcA3LlzB9++fZN6cnLo0KEYNmwYkpKShHa8LFq0iNfEl6y9efMGN27cgKqqKtq0aQNlZWVkZ2dj3bp1WLhwIXJycnjFOXnyZNja2mLXrl3YtWsXOnfujD/++EOoCPWiRYtKzQRdwe64H6Vkent7i52SKYvFvqLvz4wxkeekLJpEjBs3Dhs2bBDandehQwdoampi2LBhiI+Pl2i8bt26wcPDA8uWLUPDhg25mlETJ07k/uaRkZGoXbu2WOP5+PhAQ0MDVlZWCAwMRGBgYLHfJ27qXME107Rp01C/fn389ddfiI2Nxc6dO7maVKVJRkYGJk2ahKNHjyI7Oxtubm4YM2YM9PT0YGVlBU1NTYnGu3jxYrGf/0p+dO3L93XVpk0bXLp0SaiGqzTK2mKHPFy/fh39+/dHSkpKsbt8Jf0beXh4iPV9AQEBEo1bVhSdQP7rr79EvmfQoEESj+vp6YlPnz7h3r17XEbC/fv3MXjwYIwdO1biurNFFa4TSopHKa5EIpaWljh48KDIjfPt27fRq1evn1KsWVyfPn3CH3/8gXv37uHz58+oVq0a0tLS0LhxYwQHB4vU0pDWs2fPeHWGLfD+/Xs8fvwYjDHUqlULBgYGEv184XoZT548gY+PD9zd3YWKpQcGBmLhwoVyWRUs74reSBSkJTRq1AgpKSmwt7eXavxfbet3SavdHz9+xK1bt5CYmIgrV65INEk3fPhwxMXFYfHixTh69CgCAwPx/PlzqKmpAQB2794Nf39/3Lx5Uyb/BmkUvVFr27YtVq1aBU1NTSQkJKBmzZq8L2JSU1NhYmJSbJ2bp0+fombNmrL4J5QK4qZiAdLtCmGMwd/fH8uWLcPz588BANWqVcPkyZPRvXt3madBSeLatWvo1KkTPn78CIFAgAYNGmDbtm1wc3NDXl4exo0bBw8PD4lv/gHh7nhfvnyBrq4uIiMjuTTyhIQENG7cGB8+fJDxv4ofeaRkDhs2DK9fv8b+/ftRsWJFxMbGQllZGW5ubmjZsqVY6YiSNGfiW9sKyC+XEBkZKVJrNjY2Fo0aNZK4XMKXL1/g7e2NHTt2cDu9VFRUMHjwYKxYsQJaWlqIiYkBALHeA2WdOle0BlNCQgLc3NygoqKC48ePQ0tLq1SluE6aNAnr1q3jajfu2bMHzs7OOHDggKJDK7MKv7YYY9wCQtHrcUlfVxs3bsSsWbMwYMAA/P777yL3DJLWc5Rlx82yyt7eHrVr18bs2bOLbZAjaWMWJSUlmJqawsHB4bsNsIo2eSPfp6enh/Pnz6Nhw4ZCxyMjI9G+fXux3+/lmYFW3tEEHZGIpqYmLl26BCcnJ6HjkZGRcHZ25lUvSd4uXrwoVI+nbdu2Eo/h5eWFlStXlvj4s2fP4OLigocPH0oTqsy0adMG//zzD/r16yd0fM+ePdi0aRMuXbqkmMDKkY8fP2L37t3YunUrYmJiZHYD8Kts/S6pq6Suri7q1KmDUaNGiaT8/sjr16/Ro0cPXL16Fdra2ggMDBRqwNKmTRs0btwY8+fPlyp2WZDnjVpBk4iiz6G3b9+icuXKpeZmtaz6/PkzgPzJiwULFnD12BSlTZs2MDIywvTp0xEQEAB/f3+YmZlh1qxZGDhwoFQpPmWpCDUAaGtr4+TJk3B2dhY6funSJXTp0gWfP39GUlIS7O3txS4LUdJiX5MmTXD69GmJF/vkOYHesmVLqKqqYteuXVyKfFpaGgYOHIhv375JNFGYm5uL8PBw2NraQk1NDUlJSWCMwdLSstTsTivuXPfp0yf0798fERER8Pf3h7u7e6l5flpaWmL+/PlcQfTIyEg0a9YMWVlZ3y3GX5KiO4i/h29Dh7Km6DmKr6K1HQvjs9urrC12yIOWlhbu3LkDKysrmYw3atQoBAUFoWbNmvDw8MBff/0lk4YjvzodHR1cuXJFZNElOjoarVq1Evu9c/bs2Zg0aRI0NTVFakQW5evrK03I5Q5N0BGJdOnSBampqdi6dSt+//13CAQC3Lp1C0OHDoWJiQmvznOylpmZiQsXLqBz584AgH///VcoD19FRQVz5syRqL6VgYEBvL29MXPmTJHHnj9/DmdnZ1SpUqXUpI9pamrizp07xRY0t7e3L5UTqWVFaGgoAgICcPjwYZiamqJnz57o2bOn1MVTiex8/PgR2traIjc87969g7a2NrejTpFkfaNWWNHCwQVSUlJgY2MjVUOTX82HDx8wevRohISEQFVVFT4+PhgzZgxmz54NPz8/2NjYYPz48SKLIT9TpUqVEBYWxjUV0dHRQVBQEP7880+px5Z3EWpZGzBgACIiIopNyWzatCl27tyJoKAg+Pn54datWxKNLYvFPkC+E+iPHz9G9+7d8eDBA26iLzU1FbVr18bRo0clvjFWV1dHfHw89/cubYpOIBdgjGHatGlYvHgxgNJT1kNNTQ3JyclCu7s0NDTw8OFDXrtwf9YO4rJEVhN0slbWFjvkoXXr1pg8ebJQbWBpff36FYcPH0ZAQAC3m3zIkCFo3759ua8/Jy/dunXDhw8fsHfvXlSrVg1A/kaUAQMGwMDAQKIdiTExMVJnGP2KqAYdkUhAQAAGDx4MJycnrpZTTk4OOnToUGpqZe3YsQMnT57kJujWrFmDevXqcTWZEhISULVqVXh7e4s95vHjx+Hq6gpDQ0OMHj2aO/7ixQu4uLjAyMgIwcHBsv2HSMHExAQbNmzAsmXLhI5v3LhRoalYZdV///2H7du3IyAgAOnp6ejduzeys7Nx6NAhmTRxePnyJSZOnIgLFy7g1atXIlv1y/MFmzyUlCZRmlZWnz59KlQQ2snJCSoqKnj+/Dnv12hB2rBAIMCMGTOEUhpzc3Nx48aNcn2hZG5u/t0L8qSkJInHnDp1Ki5fvozBgwfjzJkz8Pb2xpkzZ5CVlYXTp09LlY4oK+/eveMm0DQ1NaGpqSnTBQN5FKGWl40bN8Lb2xt9+/YtNiUTAOrUqSP29UpeXh62b9+Ow4cP48mTJxAIBDA3N0eVKlW42laSKunnvnz5InFjnKKsrKwQGxuLc+fOISEhAYwx2NjYoG3btrxitbW1RVJSUqmdoCtab7OAQCDAggULYG9vjw0bNiggsuLl5uaKLBCpqKhwz1VJ/SqTbuVF0dfgrzaB5OnpiQkTJiAtLa3YBjl2dnYSj1mhQgX069cP/fr1Q0pKCrZv345Ro0YhOzsb9+/fLzW7fcuSNWvWoFu3bjAzM+N2e6empnL1aCXh6OgIBwcH/PPPP+jfv7/Eacy/KtpBR3h5+PAhd/FXt25dsQsE/wwtW7aEt7c3l9pWdJVq165dWLt2LSIiIiQa99SpU+jZsye2bduGfv36IS0tDc7OzjAwMMC5c+dK1ZvA6dOn0bNnT1haWqJx48YA8ouzJiYm4tChQ/jjjz8UHGHZ8ccffyA8PBydO3fGgAED4OrqCmVlZaiqquLOnTsymaDr2LEjUlNTMWbMmGLrckjb6Y6UPsrKykhLSxPa5VZ0d5KkCtKGw8LC0KRJE6EbQTU1NZiZmWHixIkiO2vLi6JlCLKzsxEdHY0zZ85g0qRJ8PHxkXhMU1NTbN26FW3btkVSUhKsrKwwduxYseqO/SzKysp4+PAhjIyMwBiDiYkJwsPDYWZmJvR9fLp3i7tDp7RNFHz58kXqlEzGGLp06YLTp0+jfv36qFOnDhhjiI+PR1xcHLp27YqjR4+KPV7BBPrKlSsxdOjQYifQlZWVcfXqVYljlZeQkBBMmTIFc+fOLbYOF3WEl4ySkhI6duzITXgDwIkTJ9C6dWuh3+2vko4qD9K+j964cQPv3r1Dx44duWM7duyAr68v0tPT4ebmhtWrVwv9DcVR9G9f9O/+9etXnDlzplwvyBaXNiwQCGTSIAfI3y28fft2bN++Hd++fUNCQkKpujcra4pb6JFUREQEAgICsH//fmRnZ6NHjx4YMmRIiWVuSD6aoCO8fPv2DcnJybC0tISKSunaiFmlShVcuHAB9erVAwAYGRnh5s2b3M3Kw4cP0bBhQ3z8+FHisffs2YMhQ4Zg/fr1WLx4MXR0dHD+/PlSeZH69OlTrF+/XujkOmLECNpBJyEVFRWMHTsWI0eOFJrYkOUEXUn1Hkj5Jc8btb///hsrV64sleclRVi7di1u3brFaxJJVVUVKSkpXJqHpqYmIiMj8dtvv8k6TN6UlJREOoQW93V5vvGTh23btsHLywvHjh0TuZkIDQ2Fm5sb1qxZI3aXvJ81gX7hwgVuN3ZeXp7QY5J2Myx8Q03PKenJesKbirCL1uEr7n0UEP+9tGPHjnB2dsaUKVMA5HdfdXR0hLu7O+rWrYulS5di+PDhmDVrlkRxltXFDllKSUn57uOS1h0GhFNcCxbT//77b7i6un63jiARFRoaijFjxuD69esi148fP35E06ZNsWHDBqHsD3FlZmZi//792LZtG65cuQIzMzN4eHhg8ODBqFGjhqz+CeVG6ZpZIaVeRkYGPD09uY6WDx8+hIWFBcaOHYtq1arx2qEgax8/fhSaNHz9+rXQ43l5ebzTcvr3748PHz5gyJAhcHR0xLlz50rtTbCJiQkWLFig6DDKvCtXriAgIAANGjRAnTp1MHDgQPTp00em/w8TE5PvdqAi5U9xnZT/+usvmYxdni/w+ejYsSP+/fdfXr+XvLw8oTQcZWVlmXcAl9bFixcVHUKpkZ6ejkWLFpU4QSVJmvPevXsxderUYlf6W7duDR8fH+zevVvsCbqCv5M8J9Bnz56NOXPmoEGDBsXuxpbU955b0dHRUo39K5L1ublbt27cIo+bm5tMxy4riqbMSfs+GhMTg7lz53JfBwUFoVGjRti8eTOA/Os1X19fiSfo6H2Z3wTc9xRuEvH3338jKCgIhoaGMv1//Er8/f0xdOjQYt+b9PT0MHz4cCxfvpzXBJ2GhgYGDx6MwYMHIzExEdu2beM6Jbdr1w6nT5+WxT+h3KAddEQiXl5euHr1Kvz9/eHq6orY2FhYWFjg+PHj8PX1LRUXbLVq1cKiRYvQs2fPYh/fv38/pk6disePH4s9ZtGVyfv378PExAQ6OjpC31eaViivXLmCjRs3IikpCQcOHED16tWxc+dOmJubo3nz5ooOr8zJyMhAUFAQAgICEBkZidzcXCxfvhweHh4izwNJhYSEYNmyZdi4caNIWhoh4ujRowe2b98OXV3dH3b2+9XSp5YsWYJ169bhyZMnEv/sj9KSCvxqv9PSql+/fggLC8PAgQOLnaDy8vISe6wqVargzJkzJe5sjo6ORseOHZGWliZNyDJVtWpVLFmyBAMHDpTL+AXdy7ds2YI7d+7QDjpS7qirq+PRo0dctknz5s3h6uqK6dOnAwCePHkCW1tbrps3+b7jx4+jY8eOUFVV/WEjwa5du0o0tpKSEmrWrPnD3aP0/iweU1NTnDlzBnXr1i328YSEBLRv3x6pqalS/7++fPmC3bt3Y+rUqfjw4QO9lxRBO+iIRI4ePYp9+/ahcePGQidDGxsbJCYmKjCy//njjz8wc+ZMdOrUSaTgcmZmJmbPno1OnTpJNGbRlcnSXhPs0KFDGDhwIAYMGICoqChux+Dnz5+xYMECWqngQVNTEx4eHvDw8MCDBw+wdetWLFq0CD4+PmjXrp3EHYwNDAyEXkPp6emwtLSEpqamSOHcd+/eyeTfQMovPT097vn0qxbhLXqRzhhDWloaXr9+jXXr1vEas+hOR1ntciTyERwcjFOnTqFZs2ZSj/Xu3TsYGxuX+LixsTHev38v8bitW7f+7uOhoaESj1ng27dvaNq0Ke+fL0lx3cu3bt0q8/8Pkd63b9+K3T1a0NWXfJ+xsTGSk5NhYmKCb9++ISoqCrNnz+Ye//z5s8g1GimZm5sb1732e7s8+aTMDxo06JdrtCFPL1++/O5zW0VFRSQrTVJhYWEICAjAoUOHoKysjN69e2PIkCFSjVke0QQdkcjr169F2tkD+ZMLpeUkOXXqVOzfvx/W1tYYM2YMateuDYFAgISEBKxZswY5OTmYOnWqRGP6+vrKKVr5mDdvHjZs2IBBgwYhKCiIO960aVPMmTNHgZGVD9bW1liyZAkWLlyIEydOSFzXB0CpKjJPyr7C6TO/aipN0Yt/JSUlGBkZwdnZGXXq1OE15q/6uyyrDAwMZNatOTc397s1dpWVlXl136xfv77Q19nZ2YiJicHdu3eLTX2XxD///IM9e/ZgxowZUo0DyL97uSxNmzYNzs7OaNasmVDzjV/Jw4cPMWTIEFy7dk3oONULlIyrqyt8fHywePFiHD16FJqamkIpfbGxsbC0tFRghGVL4YniopPG0tq+fbtMx/vVVa9eHXFxcbCysir28djYWFStWlXicZ8+fco170hOTkbTpk2xevVq9O7du9SVDCktKMWVSKRVq1bo1asXPD09hToljRkzBo8fP8aZM2cUHSIAIDk5GSNHjsS5c+e42l4CgQDt2rXDunXruI6u5ZWmpibu378PMzMzoS62SUlJsLGxQVZWlqJDJITIyebNm+Hs7Fxuu7USUpJdu3bh2LFjCAwMlHqiprhGLoXJuuvirFmz8OXLF/j5+fEew8vLCzt27ICdnR3s7OxEdkMsX75crHF+RvdyWXJ1dcW1a9fw9etXODo6wtnZGa1atULz5s1/mS6OzZo1g4qKCnx8fIpN7y46MUyK9/r1a/To0QNXr16FtrY2AgMD0b17d+7xNm3aoHHjxpg/f74Coyxb5NUZl8iWp6cnLl26hJs3bxabgebk5AQXFxesWrVK7DHbtWuHixcvwsjICIMGDYKHhwesra1lHXq5QxN0RCLXrl2Dq6srBgwYgO3bt2P48OG4d+8eIiIiEBYWht9//13RIQp59+4dV2vOyspKZivrpZ2lpSU2btyItm3bCk3Q7dixA4sWLcL9+/cVHSIpRFlZGS9evBDZnfr27VtUrlyZVr6JROrUqYOHDx+iSpUqaNWqFXezyncXWVmSm5uLI0eOID4+HgKBAHXr1kW3bt1KXbdxIh8ODg5ITEwEYwxmZmYiE1SS1In92V0XHz9+DCcnJ6lKGhTX0KIwcRuK/Izu5bKWm5uLyMhIhIWF4dKlS4iIiEBmZiYcHR1x/fp1RYcnd1paWrh9+/YvcZ7/GT5+/AhtbW0oKysLHX/37h20tbWFujCT75NXZ1wiWy9fvoSjoyOUlZUxZswYWFtbQyAQID4+HmvXrkVubi6ioqK+W/qhqK5du2LIkCHo3LmzyGuJlIyuWIlEmjZtiqtXr8LPzw+WlpYICQmBo6MjIiIiYGtrq+jwRFSsWBFOTk6KDuOnGz58OLy8vBAQEACBQIDnz58jIiICEydOxMyZMxUdHimipHWSr1+/0kUgkVhCQgLS0tJw8eJFhIWFYcWKFRg1ahSX7lk47b08uXv3Lrp164a0tDRuhfbhw4cwMjLC8ePHS+V7FJEtWXay/NnpzRERESK7FiQlq46+P6N7uawpKyujSZMmqFixIgwMDKCjo4OjR4+WmvrI8mZjY4M3b94oOoxyo6Rarr/KQr8syaszLpEtY2NjXLt2DSNHjsS///4rlIHWoUMHrFu3TqLJOQAS1+cm+WgHHSHl1LRp07BixQounbVChQqYOHGi0JskUayCbeLe3t6YO3euUCpObm4uLl++jCdPnpSK7sikbEpPT0d4eDiCgoKwa9cuMMZ41c0qCxo3bozKlSsjMDAQBgYGAID379/D3d0dr169QkREhIIjlK/09HQsWrQIFy5cKLZIfFJSkoIiI4UV7bLMGMOLFy9w69YtzJgxg1fN2x91bgbyb7IOHTok0bjy7F4uS+vXr0dYWBjCwsKQm5uLFi1acLuH7ezsFB2e3Hz69In7/NatW5g+fToWLFgAW1tbkd2jurq6Pzs8QgBQZ9yy6P3793j8+DEYY6hVqxZ3TUV+DpqgIxKhVLyyJSMjA/fv30deXh5sbGx+mVosZYW5uTkAICUlBTVq1BDa/q2mpgYzMzPMmTMHjRo1UlSIpAwKDg7m0rzu3LmDevXqoWXLlnB2dkaLFi3K7YWWhoYGbt26hXr16gkdv3v3Lho2bIjMzEwFRfZz9OvXD2FhYRg4cGCxNai8vLwUFBkprGjqbEEzk9atW6N9+/YyGbMk0uwKLOhevnPnTnz48IFX93J5KfgdTpgwASNGjPhlJqOUlJREOlcDEDlGTSKIIpmammLnzp1o2bIlvn37Bn19fZw4cQJt2rQBkJ/y2qpVK6nS+wkpTyjFlUjkV0zFk6QY5tixY+UYyY/VrFkT0dHRMDQ0BAAEBARg0KBBv8zFalmTnJwMIL9u0OHDh8vtxAn5uTp16sTdrJ49e7bEVJ3yxtraGi9fvhSZoHv16lWJXcnKk+DgYJw6dQrNmjVTdCgKk5ubixUrVmD//v1ITU3Ft2/fhB4vDTeA8kid/RnpuLLoXi4vhw8fxuXLlxEUFISZM2eifv36cHZ25hYlyuvipKxSmgmRJ+qMS4hkaAcdEcuvnIpXsMupwOvXr5GRkQF9fX0AwIcPH6CpqYnKlSsrPIVISUkJaWlp3A5HXV1dxMTElPuuteXFt2/fkJycDEtLSypqT3jz9/fH5cuXceXKFSgrK3OpXs7Ozqhbt66iw5Ob06dPY/LkyZg1axYaN24MALh+/TrmzJmDRYsWoXnz5tz3lsdFC3Nzc5w+fbpc/41/ZObMmdiyZQvGjx+PGTNmYNq0aXjy5AmOHj2KmTNnKnwRrbDbt29zzUxsbGzg4OCg6JDKhY8fP+LKlSs4ePAg9uzZA4FAgK9fvyo6LLnJyMjApEmTcPToUWRnZ6Nt27ZYtWoVKlWqpOjQCAFAnXEJkRRN0BGxUCpevj179mDdunXYunUrV4T8wYMHGDp0KIYPH44BAwYoNL6iE3SFO7iS0iszMxNjxoxBYGAggPzC9hYWFhg7diyqVasGHx8fBUdIyqq4uDiEhYXh4sWLOHHiBAwNDfHixQtFhyUXSkpK3OcFKV5FU77Kc7rXrl27cOzYMQQGBkJTU1PR4SiEpaUlVq1ahU6dOkFHRwcxMTHcsevXr2PPnj2KDhGvXr1C3759cenSJejr64Mxho8fP8LFxQVBQUEwMjJSdIhl0rt377jU/kuXLuHu3bswNDREq1atcODAAUWHJzeTJk3CunXrMGDAAGhoaGDPnj1wdnYu1/9mUjZRZ1xCxEMTdEQiv3oqnqWlJQ4ePCiy0n379m306tWLS1lUFJqgK5u8vLxw9epV+Pv7w9XVFbGxsbCwsMDx48fh6+tbLnemEvmLjo7GpUuXcPHiRVy5cgWfP3+Gg4MDbt68qejQ5CIsLEzs723VqpUcI/l5HBwchOpNFRR1NjMzEykSHxUV9bPD++m0tLQQHx+PmjVromrVqjh16hQcHR2RlJQEBwcHfPz4UdEhok+fPkhMTMTOnTu53Y7379/H4MGDYWVlhb179yo4wrLHzs4O9+/fR8WKFbl6m87Ozvjtt98UHZrcWVpaYv78+ejbty8AIDIyEs2aNUNWVpbIRAghhJDSj3KoiER+9XoXL168QHZ2tsjx3NxcvHz5UgERidqyZQuXgpyTk4Pt27eLpDqUpjQfAhw9ehT79u1D48aNhW62bWxskJiYqMDISFnUtWtXhIeH49OnT7C3t4ezszOGDRuGli1blsvUzgLlZdJNEm5ubooOoVSpUaMGXrx4gZo1a8LKygohISFwdHTEzZs3UaFCBUWHBwA4c+YMzp8/L5SKbGNjg7Vr1/JuEvGrGzZs2C8zIVfU06dPhep5OTk5QUVFBc+fP+e6ZhJCCCk7aIKO/ND48eMxd+5caGlpYfz48d/93uXLl/+kqBSjTZs2GDp0KLZu3Yrff/8dAoEAt27dwvDhw9G2bVtFh4eaNWti8+bN3NdVqlTBzp07hb5HIBDQBF0p8/r1a5HOyACQnp4u0omRkB+pXbv2LzEhV5wrV65g48aNSEpKwoEDB1C9enXs3LkT5ubmQjXoygtfX19Fh1CqdO/eHRcuXECjRo3g5eWFfv36YevWrUhNTYW3t7eiwwMA5OXliexuBABVVVXk5eUpIKKyb8yYMQB+zTquubm5IqmBKioqyMnJUVBEhBBCpPFrvHsRqURHR3O7xr6XavcrTCQEBARg8ODBcHJy4i6wc3Jy0KFDB2zZskXB0QFPnjxRdAiEh4YNG+LUqVPw9PQE8L/X0ubNm9GkSRNFhkbKkBs3buDdu3fw8/Pjju3YsQO+vr5IT0+Hm5sbVq9eXWp2EsnaoUOHMHDgQAwYMABRUVFcYfjPnz9jwYIFOH36tIIjlK+bN28iLy9PpBbsjRs3oKysjAYNGigosp9n0aJF3Oe9evWCiYkJrl69CisrK3Tt2lWBkf1P69at4eXlhb1796JatWoAgGfPnsHb2xtt2rRRcHRl069cx5UxBnd3d6HzelZWFkaMGAEtLS3u2OHDhxURHiGEEAlRDTpCeHj48CESEhLAGEPdunVRu3ZtRYdEyrBr167B1dUVAwYMwPbt2zF8+HDcu3cPERERCAsLw++//67oEEkZ0LFjRzg7O2PKlCkA8htEODo6wt3dHXXr1sXSpUsxfPhwzJo1S7GByomDgwO8vb0xaNAgofqbMTExcHV1RVpamqJDlCsnJydMnjwZvXr1Ejp++PBhLF68GDdu3FBQZD/P27dvYWhoCCA/9W/z5s3IzMxEly5d0LJlSwVHl+/p06fo1q0b7t69CxMTEwgEAqSmpsLW1hbHjh1DjRo1FB1imfMr13H9+++/xfq+bdu2yTkSQgghskATdITw8CumURD5iouLg5+fH27fvo28vDw4OjpiypQpsLW1VXRopIyoWrUqTpw4we2UmjZtGsLCwhAeHg4AOHDgAHx9fXH//n1Fhik3mpqauH//PszMzIQm6JKSkmBjY4OsrCxFhyhX2tra3MREYcnJybCzs8Pnz58VFJn8xcXFoUuXLnj69Clq1aqFoKAguLq6Ij09HUpKSkhPT8fBgwdLVc2+c+fOcQt9NjY2paJMRlllamrK1XEt/Np//PgxHB0d8enTJ0WHSAghhIiFZhaIRNLT07Fo0SJcuHABr169EqmXkpSUpKDIfo6MjAx4enr+kmkURL5sbW255xUhfLx//x7Gxsbc12FhYXB1deW+btiwIZ4+faqI0H6KqlWr4vHjxzAzMxM6Hh4e/kt0sq5QoQJevnwp8m998eJFuV9Imjx5MmxtbbFr1y7s2rULnTt3xh9//MGVnvD09MSiRYtK1QRdu3bt0K5dO0WHUS5QHVdCCCHlhZKiAyBlyz///IOtW7eiRYsWGDNmDLy8vIQ+yrt///0Xd+7cwaVLl6Curs4db9u2Lfbt26fAyEhZpKSkBGVl5e9+lPcbayI7xsbGSE5OBpC/yzcqKkqohuHnz5+LLU5fXgwfPhxeXl64ceMGBAIBnj9/jt27d2PixIkYNWqUosOTu3bt2uHff//Fx48fuWMfPnzA1KlTy/1E0M2bNzF//nw0b94cfn5+eP78OUaNGgUlJSUoKSnB09MTCQkJCo3xxo0bCA4OFjq2Y8cOmJubo3Llyhg2bBhXN5FIpqCOawGq40oIIaSsojs/IpHg4GCcOnUKzZo1U3QoCnH06FEujaLwqqyNjQ0SExMVGBkpi44cOVLiY9euXcPq1atBVQiIuFxdXeHj44PFixfj6NGj0NTURIsWLbjHlzqnBwAAHRFJREFUY2NjYWlpqcAI5Wvy5Mn4+PEjXFxckJWVhZYtW6JChQqYOHEi1+WxPFu2bBlatmwJU1NTODg4AABiYmJgbGws0s27vHn37h2qVKkCID/VV0tLCxUrVuQeNzAwUHiK76xZs+Ds7IyOHTsCyE/LHTJkiFCNyGrVqpXbGpHytHDhQri6uuL+/fvIycnBypUrheq4EkIIIWUFTdARiRgYGAhd9P5qylIaRV5eHh4/flxsKnJpKZb9q+vWrZvIsYSEBPz77784ceIEBgwYgLlz5yogMlIWzZs3Dz169ECrVq2gra2NwMBAqKmpcY8HBASgffv2CoxQ/ubPn49p06bh/v37yMvLg42NDbS1tZGRkQFNTU1FhydX1atXR2xsLHbv3o07d+5AQ0MDf//9N/r161eud04WKPoeXNrek2NiYoTO50FBQWjUqBE2b94MADAxMYGvry9N0PHQtGlTXL16FX5+frC0tERISAgcHR0RERFBdVwJIYSUKdQkgkhk165dOHbsGAIDA8v9zU5xWrVqhV69esHT0xM6OjqIjY2Fubk5xowZg8ePH+PMmTOKDhEAcP36dfTv3x8pKSkiO7AEAgFyc3MVFBkpyfPnz+Hr64vAwEB06NABCxcuxG+//abosEgZ9PHjR2hra0NZWVno+Lt376CtrS00aVfeZWVlYd26dViyZEm57+L6K1NSUkLHjh1RoUIFAMCJEyfQunVraGlpAQC+fv2KM2fOKPS9T11dHY8ePYKJiQkAoHnz5nB1dcX06dMBAE+ePIGtra3Cd/oRQgghRHFoBx2RyLJly5CYmAhjY2OYmZmJrMpHRUUpKLKfo6ykUYwYMQINGjTAqVOnULVq1VK3k4D8z8ePH7FgwQKsXr0a9vb2uHDhglBaIiGS0tPTK/Z4ed39/O3bN8yePRshISFQVVXF5MmT4ebmhm3btmHatGkQCAS/RI1UANi5cyc2btyIpKQkREREwNTUFCtWrICFhUWxO3bLi8GDBwt9/ddff4l8z6BBg35WOMUqqBFpYmLC1YicPXs293h5rxFJCCGEkB+jCToikdLUAU0RykoaxaNHj3Dw4EFYWVkpOhTyHUuWLMHixYtRpUoV7N27t1zfQBMiL7NmzcLatWvRrl07XL16FX/++Sc8PDxw6dIlLFy4EP379/8lJj7Wr1+PmTNnYty4cZg3bx63W8zAwAD+/v7l+vyybds2RYfwQ796jUh5UFJS+uECpEAgQE5Ozk+KiBBCCJEOpbgSUg61bt0akydPhqurq6JDId+hpKQEDQ0NtG3bViQdsbDDhw//xKgIKVusrKywdOlSdO/eHXfu3IGDgwP69OmDnTt3/lJdkG1sbLBgwQK4ublBR0cHd+7cgYWFBe7evQtnZ2e8efNG0SH+0l6/fo0ePXrg6tWrXI3I7t27c4+3adMGjRs3xvz58xUYZdly7NixEh8r3GgpMzPzJ0ZFCCGE8PfrXLkSIgPKysp48eKFSKOIt2/fonLlyqWmtpunpycmTJiAtLQ02NraiuwesbOzU1BkpLBBgwZR+jEhUnr69CkaNmwIAKhfvz7U1NQwZcqUX2pyDgCSk5O57q2FVahQAenp6QqIiBRmZGSEK1eulFgj8sCBA9DW1lZQdGUTNVoihBBS3vxaV6+Et5LSCHR1dWFtbY3JkyejR48eCojs5yppw+nXr19LVeH1nj17AgA8PDy4YwKBAIwxahJRimzfvl3RIRBS5mVnZwudf1VVVUusw1eemZubIyYmBqampkLHg4ODYWNjo6CoSFG/Wo3In6Voo6WYmBhqtEQIIaTMoQk6IpYjR44Ue/zDhw+IjIzEX3/9hcDAQPz5558/ObKfY9WqVQDyJ7m2bNkitMqdm5uLy5cvo06dOooKT0RycrKiQyCEkJ9m5syZXGfxb9++Yd68eSITIcuXL1dEaD/NpEmTMHr0aGRlZYExhsjISOzduxcLFy7Eli1bFB0eIXJBjZYIIYSUJ1SDjsjE2rVrsWPHDty4cUPRociFubk5ACAlJQU1atQQSk1RU1ODmZkZ5syZg0aNGikqREII+SU5OzuLVSg+NDT0J0WkOJs3b8a8efPw9OlTAED16tUxa9YsDBkyRMGRESJ7hRstLViwoFw3QiGEEPJroAk6IhOPHj2Ck5MT3r9/r+hQ5MrFxQWHDx+GgYGBokMRy/3795Gamopv374JHe/atauCIiKEECJvb968QV5enki9VELKE2q0RAghpLyhFFciE5mZmVBXV1d0GHJ38eJFRYcglqSkJHTv3h1xcXFc7TkA3C4TqkFHCCHly5w5c9C8eXO0bt0alSpV4o6np6dj2bJlmDlzpgKjI0T2qNESIYSQ8oZ20BGZ8PT0RGJiIk6fPq3oUGRu/PjxmDt3LrS0tDB+/Pjvfm9pqXHUpUsXKCsrY/PmzbCwsEBkZCTevn2LCRMmwM/Pj+qzEEJIOaOkpARVVVUsXLhQ6L3q5cuXqFatGi3MEEIIIYSUcrSDjoilpImpjx8/4tatW0hMTMSVK1d+clQ/R3R0NLKzs7nPS1KaVnEjIiIQGhoKIyMjKCkpQUlJCc2bN8fChQsxduzY7/47CCGElE07duzAmDFjEBsbi02bNpWq7uKEEEIIIeT7aAcdEYuLi0uxx3V1dVGnTh2MGjUKpqamPzkqUhIDAwPcvn0bFhYWsLS0xJYtW+Di4oLExETY2toiIyND0SESQgiRISUlJaSlpeHz58/o0qUL9PX1uQ7stIOOEEIIIaT0ox10RCxlpfYayffbb78hNjYWFhYWaNSoEZYsWQI1NTVs2rQJFhYWig6PEEKIjBXs4ra0tMT169fRu3dvNGjQABs2bFBwZIQQQgghRBy0g44QCaSnp2PRokW4cOECXr16hby8PKHHk5KSFBSZsLNnzyI9PR09evRAUlISOnfujISEBBgaGmLfvn1o3bq1okMkhBCZ2rZtG7S1tfHnn38KHT9w4AAyMjIwePBgBUX2cxTsoCvo3JqXl4dx48Zh/fr1yMvLox10hBBCCCGlHO2gI0QC//zzD8LCwjBw4EBUrVq1VNWdK6xDhw7c5xYWFrh//z7evXsHAwODUhszIYRIY9GiRcXuFqtcuTKGDRtW7ifotm3bBj09Pe5rJSUlrFq1Cg4ODrh8+bICIyOEEEIIIeKgHXSESEBfXx+nTp1Cs2bNFB0KIYSQQtTV1ZGQkAAzMzOh40+ePEHdunWRmZmpmMAIIYQQQggRA+2gI0QCBgYGqFixoqLDKFaPHj2wfft26OrqokePHt/93sOHD/+kqAgh5OeoXLkyYmNjRSbo7ty5A0NDQ8UE9ROEhoZizJgxuH79OnR1dYUe+/jxI5o2bYoNGzagRYsWCoqQEEIIIYSIQ0nRARBSlsydOxczZ84slV1Q9fT0uPRVPT29734QQkh507dvX4wdOxYXL15Ebm4ucnNzERoaCi8vL/Tt21fR4cmNv78/hg4dKjI5B+S/FwwfPhzLly9XQGSEEEIIIUQSlOJKiAQcHByQmJgIxhjMzMygqqoq9HhUVJSCIiOEkF/bt2/fMHDgQBw4cAAqKvkJAnl5eRg0aBA2bNgANTU1BUcoH6ampjhz5gzq1q1b7OMJCQlo3749UlNTf3JkhBBCCCFEEpTiSogE3NzcFB2CWDIzM8EYg6amJgAgJSUFR44cgY2NDdq3b6/g6AghRPbU1NSwb98+zJ07F3fu3IGGhgZsbW1hamqq6NDk6uXLlyKLRYWpqKjg9evXPzEiQgghhBDCB03QESIBX19fRYcglm7duqFHjx4YMWIEPnz4ACcnJ6ipqeHNmzdYvnw5Ro4cqegQCSFELmrXro3atWsrOoyfpnr16oiLi4OVlVWxj8fGxqJq1ao/OSpCCCGEECIpSnElpByqVKkSwsLCUK9ePWzZsgWrV69GdHQ0Dh06hJkzZyI+Pl7RIRJCiNTGjx+PuXPnQktLC+PHj//u95bXOmyenp64dOkSbt68CXV1daHHMjMz4eTkBBcXF6xatUpBERJCCCGEEHHQDjpCxKCkpMQ1YChMV1cX1tbWmDx58g87p/5MGRkZ0NHRAQCEhISgR48eUFJSQuPGjZGSkqLg6AghRDaio6ORnZ3NfV6S4s7f5cX06dNx+PBh1K5dG2PGjIG1tTUEAgHi4+Oxdu1a5ObmYtq0aYoOkxBCCCGE/ADtoCNEDMeOHSv2+IcPHxAZGYlt27YhMDAQf/7550+OrHh2dnb4559/0L17d/z22284c+YMmjRpgtu3b6NTp05IS0tTdIiEEEJkJCUlBSNHjsTZs2dRcFknEAjQoUMHrFu3DmZmZooNkBBCCCGE/BBN0BEiA2vXrsWOHTtw48YNRYcCADh48CD69++P3NxctGnTBiEhIQCAhQsX4vLlywgODlZwhIQQQmTt/fv3ePz4MRhjqFWrFgwMDBQdEiGEEEIIERNN0BEiA48ePYKTkxPev3+v6FA4aWlpePHiBerXrw8lJSUAQGRkJHR1dVGnTh0FR0cIIbKVlZWF1atX4+LFi3j16hXy8vKEHo+KilJQZIQQQgghhPwY1aAjRAYyMzNFinMrWpUqVVClShUAwKdPnxAaGgpra2uanCOElEseHh44d+4cevXqBScnp3Jdd44QQgghhJQ/NEFHiAxs3rwZDg4Oig6D07t3b7Rs2RJjxoxBZmYmGjRogCdPnoAxhqCgIPTs2VPRIRJCiEydOnUKp0+fRrNmzRQdCiGEEEIIIRKjCTpCxDB+/Phij3/8+BG3bt1CYmIirly58pOjKtnly5e5rn1HjhwBYwwfPnxAYGAg5s2bRxN0hJByp3r16lz3akIIIYQQQsoaqkFHiBhcXFyKPV5Qz23UqFEwNTX9yVGVTENDAw8fPoSJiQkGDRqEatWqYdGiRUhNTYWNjQ2+fPmi6BAJIUSmgoODsWrVKmzYsKFUnY8JIYQQQggRB+2gI0QMFy9eVHQIEjExMUFERAQqVqyIM2fOICgoCEB+h7/SViuPEEJkoUGDBsjKyoKFhQU0NTWhqqoq9Pi7d+8UFBkhhBBCCCE/RhN0hJRD48aNw4ABA6CtrQ1TU1M4OzsDyE99tbW1VWxwhBAiB/369cOzZ8+wYMECGBsbU5MIQgghhBBSplCKKyHl1K1bt/D06VO0a9cO2traAPKLqOvr61MRdUJIuaOpqYmIiAjUr19f0aEQQgghhBAiMZqgI4QQQkiZ5+joiHXr1qFx48aKDoUQQgghhBCJ0QQdIeWQh4fHdx8PCAj4SZEQQsjPERISgtmzZ2P+/PmwtbUVqUGnq6uroMgIIYQQQgj5MapBR0g59P79e6Gvs7OzcffuXXz48AGtW7dWUFSEECI/rq6uAIA2bdoIHWeMQSAQIDc3VxFhEUIIIYQQIhaaoCOkHDpy5IjIsby8PIwaNQoWFhYKiIgQQuSrrHXbJoQQQgghpDBKcSXkF/LgwQM4OzvjxYsXig6FEEIIIYQQQggh/4920BHyC0lMTEROTo6iwyCEELnJyMhAamoqvn37JnTczs5OQRERQgghhBDyYzRBR0g5NH78eKGvGWN48eIFTp06hcGDBysoKkIIkZ/Xr1/j77//RnBwcLGPUw06QgghhBBSmtEEHSHlUHR0tNDXSkpKMDIywrJly37Y4ZUQQsqicePG4f3797h+/TpcXFxw5MgRvHz5EvPmzcOyZcsUHR4hhBBCCCHfRTXoCPnFPHv2DNWrV1d0GIQQIlNVq1bFsWPH4OTkBF1dXdy6dQu1a9fG8ePHsWTJEoSHhys6REIIIYQQQkqkpOgACCE/R1paGjw9PWFlZaXoUAghRObS09NRuXJlAEDFihXx+vVrAICtrS2ioqIUGRohhBBCCCE/RBN0hJQjHz58wIABA2BkZIRq1aph1apVyMvLw8yZM2FhYYHr168jICBA0WESQojMWVtb48GDBwAAe3t7bNy4Ec+ePcOGDRtQtWpVBUdHCCGEEELI91GKKyHlyKhRo3DixAn06dMHZ86cQXx8PDp06ICsrCz4+vqiVatWig6REELkYvfu3cjOzoa7uzuio6PRoUMHvH37Fmpqati+fTv69Omj6BAJIYQQQggpEU3QEVKOmJqaYuvWrWjbti2SkpJgZWWFsWPHwt/fX9GhEULIT5WRkYGEhATUrFkTlSpVUnQ4hBBCCCGEfBdN0BFSjqiqqiIlJQXVqlUDAGhqaiIyMhK//fabgiMjhBBCCCGEEEJISVQUHQAhRHby8vKgqqrKfa2srAwtLS0FRkQIIfIzfvx4sb93+fLlcoyEEEIIIYQQ6dAEHSHlCGMM7u7uqFChAgAgKysLI0aMEJmkO3z4sCLCI4QQmYqOjhbr+wQCgZwjIYQQQgghRDqU4kpIOfL333+L9X3btm2TcySEEEIIIYQQQggRF03QEUIIIaTc+fTpE0JDQ1GnTh3UqVNH0eEQQgghhBDyXUqKDoAQQgghRFq9e/fGmjVrAACZmZlo0KABevfuDVtbWxw6dEjB0RFCCCGEEPJ9NEFHCCGEkDLv8uXLaNGiBQDgyJEjYIzhw4cPWLVqFebNm6fg6AghhBBCCPk+mqAjhBBCSJn38eNHVKxYEQBw5swZ9OzZE5qamujUqRMePXqk4OgIIYQQQgj5PpqgI4QQQkiZZ2JigoiICKSnp+PMmTNo3749AOD9+/dQV1dXcHSEEEIIIYR8n4qiAyCEEEIIkda4ceMwYMAAaGtrw9TUFM7OzgDyU19tbW0VGxwhhBBCCCE/QF1cCSGEEFIu3Lp1C0+fPkW7du2gra0NADh16hT09fXRrFkzBUdHCCGEEEJIyWiCjhBCCCGEEEIIIYQQBaIUV0IIIYSUWePHjxfr+5YvXy7nSAghhBBCCOGPJugIIYQQUmZFR0f/8HsEAsFPiIQQQgghhBD+KMWVEEIIIYQQQgghhBAFUlJ0AIQQQgghhBBCCCGE/Mpogo4QQgghhBBCCCGEEAWiCTpCCCGEEEIIIYQQQhSIJugIIYQQQgghhBBCCFEgmqAjhBBCCCGEEEIIIUSBaIKOEEIIIeVaamoqcnNzFR0GIYQQQgghJaIJOkIIIYSUa2ZmZrCxscHhw4cVHQohhBBCCCHFEjDGmKKDIIQQQgiRl7CwMCQnJyMkJAR79uxRdDiEEEIIIYSIoAk6QgghhBBCCCGEEEIUiFJcCSGEEEIIIYQQQghRIJqgI4QQQkiZ9/LlSwwcOBDVqlWDiooKlJWVhT4IIYQQQggpzVQUHQAhhBDyf+3dX2hXZQMH8O+vGkJbazMMjVa60nLG/IMGUZSFy4uIVpZBwlhRN1kWBaMb0bpLyETKiExxIyLBkIoo14rqplSG1HCRRmMhWsQswiLn2nsR73jXv7nq7fhrnw/s4pzznHO+2+V3z/Mc+KtaW1vT39+f1atXZ9q0aSmVSkVHAgCAk2YPOgCg7J111ll5//33M2/evKKjAADAuFniCgCUvbq6uvifIwAA5UpBBwCUvQ0bNuSRRx5JX19f0VEAAGDcLHEFAMpebW1tvv/++5w4cSJnnnlmKioqRl0fGBgoKBkAAIzNRyIAgLK3YcOGoiMAAMCfZgYdAAAAABTIDDoA4F/lhx9+yODg4Khz1dXVBaUBAICx+UgEAFD2jh07lvvuuy/nnntuqqqqUltbO+oHAABOZQo6AKDstbW15e23386mTZsyadKkbN68OY8++mjOO++8tLe3Fx0PAAD+kD3oAICyd8EFF6S9vT2LFy9OdXV1uru7c/HFF6ejoyMvvvhiXn/99aIjAgDA7zKDDgAoewMDA5kxY0aSn/ebGxgYSJJcddVVee+994qMBgAAY1LQAQBlr76+Pn19fUmShoaGbN++PUny6quvpqamprhgAABwEixxBQDK3pNPPpnTTz89q1atyjvvvJMbbrghQ0NDOXHiRNavX58HHnig6IgAAPC7FHQAwL9Of39/9u7dm4suuihz584tOg4AAPwhBR0AUNYGBwdz/fXX59lnn82sWbOKjgMAAONmDzoAoKxVVFSkp6cnpVKp6CgAAPCnKOgAgLLX0tKS559/vugYAADwp5xRdAAAgL/q+PHj2bx5czo7O7Nw4cJUVlaOur5+/fqCkgEAwNgUdABA2evp6cmCBQuSJJ9++umoa5a+AgBwqvORCAAAAAAokD3oAAAAAKBAlrgCAGXrlltuOalxL7/88v85CQAA/HkKOgCgbJ199tlFRwAAgL/MHnQAAAAAUCB70AEAAABAgRR0AAAAAFAgBR0AAAAAFEhBBwAAAAAFUtABAAAAQIEUdAAAAABQIAUdAMAEc+TIkdx///2pr6/PpEmTUldXlxtvvDFdXV3/aI5SqZSdO3f+o+8EADgVnVF0AAAA/jl9fX258sorU1NTk3Xr1qWxsTGDg4N58803s3LlynzyySdFRxxlcHAwFRUVRccAAPi/MoMOAGACuffee1MqlbJ79+7ceuutmTVrVubMmZOHHnooH3zwQZKkv78/N910U6qqqlJdXZ3ly5fnyy+/HHlGa2trmpubRz33wQcfzOLFi0eOFy9enFWrVqWtrS2TJ0/O1KlTs3bt2pHr06dPT5LcfPPNKZVKI8dr167NvHnzsmXLlpEZftu2bcs555yTH3/8cdQ7ly1blpaWlr/tbwMAUBQFHQDABDEwMJA33ngjK1euTGVl5a+u19TUZHh4OM3NzRkYGMi7776bzs7OfPbZZ7n99tvH/b5t27alsrIyH374YdatW5fHHnssnZ2dSZI9e/YkSbZu3ZrDhw+PHCfJwYMHs3379uzYsSP79u3L8uXLMzQ0lFdeeWVkzNdff53XXnstd95557hzAQCcaixxBQCYIA4ePJjh4eFceumlvzvmrbfeykcffZTPP/88dXV1SZKOjo7MmTMne/bsyaJFi076fY2NjVmzZk2SZObMmXnqqafS1dWVpqamTJkyJcnPpeDUqVNH3Xf8+PF0dHSMjEmSO+64I1u3bs1tt92WJHnhhRdy/vnnj5q1BwBQrsygAwCYIIaHh5P8/HGG39Pb25u6urqRci5JGhoaUlNTk97e3nG9r7GxcdTxtGnT8tVXX41534UXXjiqnEuSe+65J7t27cqhQ4eS/DzzrrW19Q9/FwCAcqGgAwCYIGbOnJlSqfSHRdvw8PBvll7/e/60004bKfv+a3Bw8Ff3/PLjDqVSKT/99NOYOX9r+e38+fMzd+7ctLe3p7u7Ox9//HFaW1vHfBYAQDlQ0AEATBCTJ0/O0qVL8/TTT+fYsWO/uv7NN9+koaEh/f39+eKLL0bO79+/P99++21mz56dJJkyZUoOHz486t59+/aNO09FRUWGhoZOevzdd9+drVu3ZsuWLVmyZMmoWX4AAOVMQQcAMIFs2rQpQ0NDufzyy7Njx44cOHAgvb292bhxY6644oosWbIkjY2NWbFiRbq7u7N79+60tLTkmmuuycKFC5Mk1113Xfbu3Zv29vYcOHAga9asSU9Pz7izTJ8+PV1dXTly5EiOHj065vgVK1bk0KFDee6553LXXXeN+30AAKcqBR0AwAQyY8aMdHd359prr83DDz+cyy67LE1NTenq6sozzzyTUqmUnTt3pra2NldffXWWLFmS+vr6vPTSSyPPWLp0aVavXp22trYsWrQo3333XVpaWsad5YknnkhnZ2fq6uoyf/78McdXV1dn2bJlqaqqSnNz87jfBwBwqioN/3IDEQAAOEU1NTVl9uzZ2bhxY9FRAAD+Ngo6AABOeQMDA9m1a1dWrFiR/fv355JLLik6EgDA3+aMogMAAMBYFixYkKNHj+bxxx9XzgEA/zpm0AEAAABAgXwkAgAAAAAKpKADAAAAgAIp6AAAAACgQAo6AAAAACiQgg4AAAAACqSgAwAAAIACKegAAAAAoEAKOgAAAAAo0H8A2jbYB2AumTwAAAAASUVORK5CYII=",
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",
       "text/plain": [
        "<Figure size 1500x400 with 1 Axes>"
       ]
@@ -930,14 +940,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## Hobby"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 581,
    "metadata": {},
    "outputs": [
     {
@@ -946,7 +958,7 @@
        "0"
       ]
      },
-     "execution_count": 29,
+     "execution_count": 581,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -957,7 +969,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 582,
    "metadata": {},
    "outputs": [
     {
@@ -969,7 +981,7 @@
        "Name: Hobby, dtype: int64"
       ]
      },
-     "execution_count": 30,
+     "execution_count": 582,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -980,14 +992,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## UndergradMajor"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 583,
    "metadata": {},
    "outputs": [
     {
@@ -996,7 +1010,7 @@
        "19819"
       ]
      },
-     "execution_count": 31,
+     "execution_count": 583,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1007,7 +1021,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 584,
    "metadata": {},
    "outputs": [
     {
@@ -1029,7 +1043,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 32,
+     "execution_count": 584,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1040,7 +1054,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 585,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1069,7 +1083,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 586,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1078,12 +1092,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 587,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 500x500 with 1 Axes>"
       ]
@@ -1104,7 +1118,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 588,
    "metadata": {},
    "outputs": [
     {
@@ -1113,7 +1127,7 @@
        "0"
       ]
      },
-     "execution_count": 36,
+     "execution_count": 588,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1124,7 +1138,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 589,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1133,7 +1147,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 590,
    "metadata": {},
    "outputs": [
     {
@@ -1142,7 +1156,7 @@
        "0"
       ]
      },
-     "execution_count": 38,
+     "execution_count": 590,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1153,14 +1167,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## Job Status"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 591,
    "metadata": {},
    "outputs": [
     {
@@ -1173,7 +1189,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 39,
+     "execution_count": 591,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1184,7 +1200,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 592,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1193,7 +1209,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 593,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1217,7 +1233,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 594,
    "metadata": {},
    "outputs": [
     {
@@ -1229,7 +1245,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 42,
+     "execution_count": 594,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1240,7 +1256,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 595,
    "metadata": {},
    "outputs": [
     {
@@ -1249,7 +1265,7 @@
        "0"
       ]
      },
-     "execution_count": 43,
+     "execution_count": 595,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1260,14 +1276,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## Employment"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 596,
    "metadata": {},
    "outputs": [
     {
@@ -1283,7 +1301,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 44,
+     "execution_count": 596,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1294,7 +1312,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 597,
    "metadata": {},
    "outputs": [
     {
@@ -1303,7 +1321,7 @@
        "1018"
       ]
      },
-     "execution_count": 45,
+     "execution_count": 597,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1314,7 +1332,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 598,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1323,7 +1341,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 599,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1347,7 +1365,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 600,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1356,12 +1374,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 601,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 400x400 with 1 Axes>"
       ]
@@ -1382,7 +1400,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 602,
    "metadata": {},
    "outputs": [
     {
@@ -1391,7 +1409,7 @@
        "0"
       ]
      },
-     "execution_count": 50,
+     "execution_count": 602,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1402,14 +1420,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## JobSatisfaction"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 603,
    "metadata": {},
    "outputs": [
     {
@@ -1426,7 +1446,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 51,
+     "execution_count": 603,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1437,7 +1457,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 604,
    "metadata": {},
    "outputs": [
     {
@@ -1446,7 +1466,7 @@
        "10482"
       ]
      },
-     "execution_count": 52,
+     "execution_count": 604,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1457,7 +1477,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": 605,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1466,7 +1486,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 606,
    "metadata": {},
    "outputs": [
     {
@@ -1475,7 +1495,7 @@
        "0"
       ]
      },
-     "execution_count": 54,
+     "execution_count": 606,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1486,12 +1506,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": 607,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 1200x400 with 1 Axes>"
       ]
@@ -1517,14 +1537,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## Ethnicity"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 608,
    "metadata": {},
    "outputs": [
     {
@@ -1533,7 +1555,7 @@
        "23578"
       ]
      },
-     "execution_count": 56,
+     "execution_count": 608,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1544,7 +1566,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 609,
    "metadata": {},
    "outputs": [
     {
@@ -1565,7 +1587,7 @@
        "Name: RaceEthnicity, Length: 71, dtype: int64"
       ]
      },
-     "execution_count": 57,
+     "execution_count": 609,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1577,7 +1599,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 610,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1596,7 +1618,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": 611,
    "metadata": {},
    "outputs": [
     {
@@ -1613,7 +1635,7 @@
        "Name: RaceEthnicity, dtype: int64"
       ]
      },
-     "execution_count": 59,
+     "execution_count": 611,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1624,7 +1646,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 612,
    "metadata": {},
    "outputs": [
     {
@@ -1633,7 +1655,7 @@
        "23578"
       ]
      },
-     "execution_count": 60,
+     "execution_count": 612,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1644,7 +1666,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": 613,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1653,7 +1675,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": 614,
    "metadata": {},
    "outputs": [
     {
@@ -1662,7 +1684,7 @@
        "0"
       ]
      },
-     "execution_count": 62,
+     "execution_count": 614,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1673,12 +1695,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": 615,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 600x600 with 1 Axes>"
       ]
@@ -1700,14 +1722,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## Developer Roles"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 64,
+   "execution_count": 616,
    "metadata": {},
    "outputs": [
     {
@@ -1716,7 +1740,7 @@
        "728"
       ]
      },
-     "execution_count": 64,
+     "execution_count": 616,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1727,7 +1751,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 65,
+   "execution_count": 617,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1736,7 +1760,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
+   "execution_count": 618,
    "metadata": {},
    "outputs": [
     {
@@ -1757,7 +1781,7 @@
        "Name: DevType, Length: 8820, dtype: int64"
       ]
      },
-     "execution_count": 66,
+     "execution_count": 618,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1768,7 +1792,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 67,
+   "execution_count": 619,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1799,7 +1823,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 68,
+   "execution_count": 620,
    "metadata": {},
    "outputs": [
     {
@@ -1813,7 +1837,7 @@
        "Name: DevType, dtype: int64"
       ]
      },
-     "execution_count": 68,
+     "execution_count": 620,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1824,12 +1848,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 69,
+   "execution_count": 621,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 600x600 with 1 Axes>"
       ]
@@ -1851,14 +1875,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## Language to worked with"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 70,
+   "execution_count": 622,
    "metadata": {},
    "outputs": [
     {
@@ -1871,7 +1897,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 70,
+     "execution_count": 622,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1882,7 +1908,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 71,
+   "execution_count": 623,
    "metadata": {},
    "outputs": [
     {
@@ -1891,7 +1917,7 @@
        "9985"
       ]
      },
-     "execution_count": 71,
+     "execution_count": 623,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1902,7 +1928,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 72,
+   "execution_count": 624,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1911,7 +1937,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 73,
+   "execution_count": 625,
    "metadata": {},
    "outputs": [
     {
@@ -1920,7 +1946,7 @@
        "0"
       ]
      },
-     "execution_count": 73,
+     "execution_count": 625,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1931,7 +1957,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 74,
+   "execution_count": 626,
    "metadata": {},
    "outputs": [
     {
@@ -1944,7 +1970,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 74,
+     "execution_count": 626,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1955,14 +1981,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## LanguageDesireNextYear"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 75,
+   "execution_count": 627,
    "metadata": {},
    "outputs": [
     {
@@ -1975,7 +2003,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 75,
+     "execution_count": 627,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1986,7 +2014,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 76,
+   "execution_count": 628,
    "metadata": {},
    "outputs": [
     {
@@ -1995,7 +2023,7 @@
        "14147"
       ]
      },
-     "execution_count": 76,
+     "execution_count": 628,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2006,7 +2034,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 77,
+   "execution_count": 629,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2015,7 +2043,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 78,
+   "execution_count": 630,
    "metadata": {},
    "outputs": [
     {
@@ -2024,7 +2052,7 @@
        "0"
       ]
      },
-     "execution_count": 78,
+     "execution_count": 630,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2035,7 +2063,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 79,
+   "execution_count": 631,
    "metadata": {},
    "outputs": [
     {
@@ -2048,7 +2076,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 79,
+     "execution_count": 631,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2059,14 +2087,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## Years of coding (Exp)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 80,
+   "execution_count": 632,
    "metadata": {},
    "outputs": [
     {
@@ -2086,7 +2116,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 80,
+     "execution_count": 632,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2097,7 +2127,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 81,
+   "execution_count": 633,
    "metadata": {},
    "outputs": [
     {
@@ -2106,7 +2136,7 @@
        "3349"
       ]
      },
-     "execution_count": 81,
+     "execution_count": 633,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2117,7 +2147,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 82,
+   "execution_count": 634,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2126,7 +2156,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 83,
+   "execution_count": 635,
    "metadata": {},
    "outputs": [
     {
@@ -2135,7 +2165,7 @@
        "0"
       ]
      },
-     "execution_count": 83,
+     "execution_count": 635,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2146,7 +2176,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 84,
+   "execution_count": 636,
    "metadata": {},
    "outputs": [
     {
@@ -2166,7 +2196,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 84,
+     "execution_count": 636,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2177,14 +2207,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## Years of coding (Non Exp)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 85,
+   "execution_count": 637,
    "metadata": {},
    "outputs": [
     {
@@ -2204,7 +2236,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 85,
+     "execution_count": 637,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2215,7 +2247,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 86,
+   "execution_count": 638,
    "metadata": {},
    "outputs": [
     {
@@ -2224,7 +2256,7 @@
        "105"
       ]
      },
-     "execution_count": 86,
+     "execution_count": 638,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2235,7 +2267,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 87,
+   "execution_count": 639,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2244,7 +2276,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 88,
+   "execution_count": 640,
    "metadata": {},
    "outputs": [
     {
@@ -2253,7 +2285,7 @@
        "0"
       ]
      },
-     "execution_count": 88,
+     "execution_count": 640,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2264,7 +2296,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 89,
+   "execution_count": 641,
    "metadata": {},
    "outputs": [
     {
@@ -2284,7 +2316,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 89,
+     "execution_count": 641,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2295,14 +2327,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## Operating System"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 90,
+   "execution_count": 642,
    "metadata": {},
    "outputs": [
     {
@@ -2316,7 +2350,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 90,
+     "execution_count": 642,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2327,7 +2361,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 91,
+   "execution_count": 643,
    "metadata": {},
    "outputs": [
     {
@@ -2336,7 +2370,7 @@
        "10374"
       ]
      },
-     "execution_count": 91,
+     "execution_count": 643,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2347,7 +2381,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 92,
+   "execution_count": 644,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2356,7 +2390,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 93,
+   "execution_count": 645,
    "metadata": {},
    "outputs": [
     {
@@ -2365,7 +2399,7 @@
        "0"
       ]
      },
-     "execution_count": 93,
+     "execution_count": 645,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2376,7 +2410,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 94,
+   "execution_count": 646,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2385,12 +2419,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 95,
+   "execution_count": 647,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 400x400 with 1 Axes>"
       ]
@@ -2411,14 +2445,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## Salary Type"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 96,
+   "execution_count": 648,
    "metadata": {},
    "outputs": [
     {
@@ -2431,7 +2467,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 96,
+     "execution_count": 648,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2442,7 +2478,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 97,
+   "execution_count": 649,
    "metadata": {},
    "outputs": [
     {
@@ -2451,7 +2487,7 @@
        "28498"
       ]
      },
-     "execution_count": 97,
+     "execution_count": 649,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2462,7 +2498,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 98,
+   "execution_count": 650,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2471,7 +2507,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 99,
+   "execution_count": 651,
    "metadata": {},
    "outputs": [
     {
@@ -2480,7 +2516,7 @@
        "0"
       ]
      },
-     "execution_count": 99,
+     "execution_count": 651,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2491,7 +2527,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 100,
+   "execution_count": 652,
    "metadata": {},
    "outputs": [
     {
@@ -2504,7 +2540,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 100,
+     "execution_count": 652,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2515,14 +2551,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## Currency"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 101,
+   "execution_count": 653,
    "metadata": {},
    "outputs": [
     {
@@ -2542,7 +2580,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 101,
+     "execution_count": 653,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2553,7 +2591,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 102,
+   "execution_count": 654,
    "metadata": {},
    "outputs": [
     {
@@ -2562,7 +2600,7 @@
        "17483"
       ]
      },
-     "execution_count": 102,
+     "execution_count": 654,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2573,7 +2611,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 103,
+   "execution_count": 655,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2582,7 +2620,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 104,
+   "execution_count": 656,
    "metadata": {},
    "outputs": [
     {
@@ -2591,7 +2629,7 @@
        "1"
       ]
      },
-     "execution_count": 104,
+     "execution_count": 656,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2602,7 +2640,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 105,
+   "execution_count": 657,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2611,7 +2649,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 106,
+   "execution_count": 658,
    "metadata": {},
    "outputs": [
     {
@@ -2631,7 +2669,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 106,
+     "execution_count": 658,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2642,14 +2680,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## Salary"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 107,
+   "execution_count": 659,
    "metadata": {},
    "outputs": [
     {
@@ -2669,7 +2709,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 107,
+     "execution_count": 659,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2680,7 +2720,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 108,
+   "execution_count": 660,
    "metadata": {},
    "outputs": [
     {
@@ -2689,7 +2729,7 @@
        "31786"
       ]
      },
-     "execution_count": 108,
+     "execution_count": 660,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2700,7 +2740,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 109,
+   "execution_count": 661,
    "metadata": {},
    "outputs": [
     {
@@ -2720,7 +2760,7 @@
        "Name: SalaryUSD, dtype: float64"
       ]
      },
-     "execution_count": 109,
+     "execution_count": 661,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2732,7 +2772,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 110,
+   "execution_count": 662,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2742,7 +2782,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 111,
+   "execution_count": 663,
    "metadata": {},
    "outputs": [
     {
@@ -2762,7 +2802,7 @@
        "Name: SalaryUSD, dtype: float64"
       ]
      },
-     "execution_count": 111,
+     "execution_count": 663,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2774,7 +2814,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 112,
+   "execution_count": 664,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2783,14 +2823,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## Age"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 113,
+   "execution_count": 665,
    "metadata": {},
    "outputs": [
     {
@@ -2807,7 +2849,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 113,
+     "execution_count": 665,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2818,7 +2860,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 114,
+   "execution_count": 666,
    "metadata": {},
    "outputs": [
     {
@@ -2827,7 +2869,7 @@
        "16374"
       ]
      },
-     "execution_count": 114,
+     "execution_count": 666,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2838,7 +2880,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 115,
+   "execution_count": 667,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2847,7 +2889,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 116,
+   "execution_count": 668,
    "metadata": {},
    "outputs": [
     {
@@ -2856,7 +2898,7 @@
        "0"
       ]
      },
-     "execution_count": 116,
+     "execution_count": 668,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2867,12 +2909,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 117,
+   "execution_count": 669,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1200x400 with 1 Axes>"
       ]
@@ -2905,7 +2947,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 118,
+   "execution_count": 670,
    "metadata": {},
    "outputs": [
     {
@@ -2941,7 +2983,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 119,
+   "execution_count": 671,
    "metadata": {},
    "outputs": [
     {
@@ -2950,7 +2992,7 @@
        "1549"
       ]
      },
-     "execution_count": 119,
+     "execution_count": 671,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2961,7 +3003,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 120,
+   "execution_count": 672,
    "metadata": {},
    "outputs": [
     {
@@ -2980,7 +3022,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 120,
+     "execution_count": 672,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2991,7 +3033,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 121,
+   "execution_count": 673,
    "metadata": {},
    "outputs": [
     {
@@ -3007,7 +3049,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 121,
+     "execution_count": 673,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3049,7 +3091,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 122,
+   "execution_count": 697,
    "metadata": {},
    "outputs": [
     {
@@ -3058,7 +3100,7 @@
        "(78800, 19)"
       ]
      },
-     "execution_count": 122,
+     "execution_count": 697,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3070,7 +3112,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 123,
+   "execution_count": 698,
    "metadata": {},
    "outputs": [
     {
@@ -3426,7 +3468,7 @@
        "14                Java;JavaScript;PHP;VB.NET;HTML;CSS  No Degree  "
       ]
      },
-     "execution_count": 123,
+     "execution_count": 698,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3437,14 +3479,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## After Cleaning Dataset 2018"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 124,
+   "execution_count": 676,
    "metadata": {},
    "outputs": [
     {
@@ -3471,32 +3515,36 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## Stackoverflow 2019 Dataset"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 125,
+   "execution_count": 677,
    "metadata": {},
    "outputs": [],
    "source": [
     "na_vals = ['NA', 'Missing']\n",
-    "survey_main_df = pd.read_csv(r\"C:\\Users\\Maryam\\AppData\\Local\\Temp\\survey_results_public_2019.csv\", na_values=na_vals)\n",
-    "schema_df = pd.read_csv(r\"C:\\Users\\Maryam\\AppData\\Local\\Temp\\survey_results_public_2019.csv\")"
+    "survey_main_df = pd.read_csv(r\".\\survey_results_public_2019.csv\", na_values=na_vals)\n",
+    "schema_df = pd.read_csv(r\".\\survey_results_public_2019.csv\")"
    ]
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## Data Cleaning"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 126,
+   "execution_count": 678,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -3507,7 +3555,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 127,
+   "execution_count": 274,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -3526,7 +3574,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 128,
+   "execution_count": 275,
    "metadata": {},
    "outputs": [
     {
@@ -3689,7 +3737,7 @@
        "2  Web development or web design            1  "
       ]
      },
-     "execution_count": 128,
+     "execution_count": 275,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3701,7 +3749,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 129,
+   "execution_count": 276,
    "metadata": {},
    "outputs": [
     {
@@ -3729,7 +3777,7 @@
        "dtype: object"
       ]
      },
-     "execution_count": 129,
+     "execution_count": 276,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3741,14 +3789,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## Data Validation - Total Cells vs Missing %"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 130,
+   "execution_count": 277,
    "metadata": {},
    "outputs": [
     {
@@ -3775,7 +3825,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## Cleaning and Refactoring column values"
    ]
@@ -3789,7 +3841,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 131,
+   "execution_count": 278,
    "metadata": {},
    "outputs": [
     {
@@ -3806,7 +3858,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 131,
+     "execution_count": 278,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3817,7 +3869,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 132,
+   "execution_count": 279,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -3845,7 +3897,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 133,
+   "execution_count": 280,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -3854,7 +3906,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 134,
+   "execution_count": 281,
    "metadata": {},
    "outputs": [
     {
@@ -3863,7 +3915,7 @@
        "0"
       ]
      },
-     "execution_count": 134,
+     "execution_count": 281,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3875,7 +3927,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 135,
+   "execution_count": 282,
    "metadata": {},
    "outputs": [
     {
@@ -3888,7 +3940,7 @@
        "Name: Gender, dtype: int64"
       ]
      },
-     "execution_count": 135,
+     "execution_count": 282,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3899,21 +3951,23 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## Age"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 136,
+   "execution_count": 283,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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K66+/Pt/okl122SV22223AqfqOuigg6JZs2a5y9tuu200a9Ys1qxZEz/88EOhx5SjW7duUbNmzdzlnJFI8+bNi4iItWvXxj//+c/Ydddd48wzz8zdr2LFinHllVfmGV1RlH/84x8REXHMMcfkrjv88MOjTp068eqrr8Z///vf3PULFy6MKVOmxIEHHhhHHXVU7vqqVavGFVdcke+xS3KO15dKpWLhwoV5purbeeedY+zYsfHUU08VeUxjxoyJNWvWxAUXXBC77bZb7vqaNWtG//79IyLi+eefL/Ixkvbcc89FKpWKK6+8Ms/7YPvtt4/evXvHihUr8k2j17x586hXr16edaU5LxvSvn37qFjx/76Sz5w5M7755ps45phjIisrK8++F110UdSvXz/++c9/5t5XKsdpp52WZ9rPnPfBKaecEttss03u+qZNm0bE/72mC/PCCy9EzZo145JLLskzau3CCy+M7bbbLs++6Zzn3XbbLY4++ujc5SpVqkTLli3z1DZu3LhYs2ZNnHvuuXlGjbVu3Tp3RGKODz74ID7//PM46aSTokmTJnm2XXzxxVGlSpUYPXp0vuPs0KFDnuWcqSLXn9b0pptuimnTpsW+++6b7zEAACiaKfgAAKCEbrrppujatWvu8vLly+Prr7+Ou+66K2677bb45ptv4qabboqIiI8++igifr8H1PoX/3PCmqLuy7J06dL47rvvonnz5nkuJuc44IAD4tFHH833GA0bNsyzPHv27Fi+fHmsXbs27r777nyPs2rVqli7dm189tlnccABBxRYS04ff/7zn/Nt69SpU+7/X/9eNcuWLYvZs2dHvXr14r777svXNid0+fTTT2PfffeNRo0aRaNGjWLZsmXxwQcfxJw5c+Kbb76JDz/8MObMmZMn4Mux55575lu37bbbRkTkuwdMQdYN1NZtm3Oxf86cObF48eI45JBD8oVNDRo0yDMVXmGWLl0akyZNinr16sXBBx+cu75q1arRsWPHeOaZZ+KFF16I3r17R8Tv04plZ2fnBgfr2n///fOEkSU9x+s75ZRT4sEHH8y9d1RWVlYcccQRsd9++23wuHJeFwcddFC+bfvuu2/Url272PceSsrHH38cERHjx4+PV199Nc+2nEDy008/zbN+/fdMROnOy4as319OPQWdx6pVq8Z+++0XEydOjK+//jr++Mc/5m7bfffd8+ybE6Su//jVqlWLiMgXYK1r1apV8fnnn0fjxo1z3wM5atWqlee+VhHpneei3qs5teW8XtYPlCJ+D9hef/31fDV8++23Bf5tq1WrVnz22WeRSqVyA7UqVapE/fr18+zXpUuXGDlyZAwZMiSGDx8eWVlZkZWVFYcddliecBoAgOITQAEAQCnVrFkzmjRpEkOHDo127drF6NGjo3fv3rH33nvnhjHr3ttkfYsXLy5027JlyyIi8l0MzpFzz6aVK1fmWZ9zsTnHkiVLIiLi66+/jqFDh6ZVS85jFBSEFSVnVNXPP/9crL5XrVoVt912WzzzzDOxYsWKiIioX79+HHTQQbH99tvHzz//nK/tuiNAcuRcbE6lUhuscf3267f95ZdfIiJixx13LLD9TjvtFD/99FORfYwdOzZWrVoVP//8c/zpT38qcJ/nnnsuN4Aqqs9KlSrluRdOSc/x+i677LLYY4894umnn45Zs2bFBx98EHfffXfstddece211+aOUClITt9FvUbnzJlTaPuNIed99+CDDxa6z/rnYv33TETpzsuGVK9ePc9yznks7P2V817PeU/kKCwcKeg9sSGLFi2KiMg3Emz9GnKkc56Leq/myPlbU6tWrXz7rnsPrHX3ff311/MEU+tbtmxZ7rld/9xHRPzxj3+MZ599Nu6///6YMmVKPPvss/Hss89GzZo1o2fPnvlGhAEAsGECKAAASEjVqlWjWbNmMW7cuPjss89i7733zr04PHHixDzTkxVXzgXYH3/8scDtORdf178oW9jjHH/88XHzzTeXuI6I/7vQnROKrWv16tVRsWLFPKNy1m934IEHxogRIzbYz6BBg+Kpp56Kjh07Rrdu3SIzMzP3+I4++ugCA6iNLefCdWFTFBZ0Ttb34osvRkRE586d80xXlmPy5MnxzTffxLvvvhsHHXRQifos6TleX4UKFeKkk06Kk046KRYsWBBvvvlmTJgwIcaPHx/nnXdeTJ48OU/gta51X6MF7bN48eJ8r8+c6c7WtX6wUho1a9aMSpUqxQcffBBVqlRJ+3FKc15KKqn3ehI1FPd1ntR5Xl/OtHtLly7NM3VpYTVERAwcODBOOumkUvX7xz/+Me64445YvXp1zJw5M1577bUYPXp03H///VG/fv04/fTTS/X4AADljXtAAQBAgnIuEueMBsnMzIyI/PcViYj45ptvYvDgwTF58uRCH2+bbbaJhg0bxjfffFPgvY/efffdiIj4wx/+UGRde+21V1StWjU+/vjjAkcEDRs2LO69997cUTcFycjIiIiIWbNm5dv2yCOPxP77759neq4c2267bTRo0CC+/PLLfCO1In4PZu6+++6YO3duRET861//ih122CHuvPPOaNGiRe4F95UrV8b8+fMjonijmpKUEyYWdOxLliyJ2bNnF9n+u+++i/feey923333uOWWW2LAgAH5/su5uD1q1KiI+P0eXxUqVCiwzy+//DLPhfiSnuN1/fLLL3H33Xfn3otshx12iOOOOy7uuuuu6Nq1a6xYsSI++eSTQo8tZzq49957L9+2OXPmxM8//5xn2r8qVaoUGDate5+lHOmOOMnMzIy1a9fmm/4tIuL999+PIUOGxPTp04t8jNKel5LKGRU3Y8aMfNuys7Pjvffei5o1a8auu+6aWJ/r22abbWLPPfeM//znP/mm6lu7dm3ulKI5kjjPBWncuHFEFPyaKqiGgtZH/D795qBBg+LJJ5/cYJ8vvvhi/P3vf49UKhVVq1aNFi1axN/+9rfcaf0KqgUAgKIJoAAAICEffPBBvPPOO7HddtvFgQceGBG/j3apVKlS3HHHHXlG7qxZsyb+/ve/x6OPPpo77VVhunTpEitXrowbb7wx1qxZk7v+448/juHDh0ft2rWjTZs2RT5GtWrVolOnTvHll1/GY489lmfb22+/HTfffHM8//zzsd122xX6GO3atYuaNWvGE088EfPmzctdv2jRonjmmWeiVq1aBd4fKucYFi1aFEOGDMkz+uXLL7+MAQMGxGOPPZYbNFWrVi1WrVqVG+ZF/H7xe+DAgbnhSnHu65SkKlWqxHHHHRezZ8+OkSNH5q7Pzs6OW265ZYP1/OMf/4hUKhXHHXdcoft06dIlKlasGC+//HL8+uuvUb9+/TjssMPizTffjClTpuTut3r16rjlllsKbF/cc7yuWrVqxRNPPBG33357vtdiTuDXoEGDQus+/vjjo3LlynH//ffnCZGWL18eAwYMyN0nx9577x1z587Nc0+0efPm5Y4QW1fOiLqi7ltUkC5dukRExI033phnNM/SpUvjuuuui4ceeqjAe4mtq7TnpaQOOOCA2GOPPWL8+PF5nu+IiLvuuiu+//77OProo9OaWq8kunbtGkuXLs13P6UHHngg3+jDJM5zQTp16hTVqlWL++67L0+f06dPzxfYH3TQQdGwYcN47rnnYubMmXm2Pfjgg/HYY4/l3ieqKO+//34MHz48xo4dm2d9Tmib5HMNAFBemIIPAABKaOLEiXkCmLVr18aXX34Zr776aqxduzb+53/+J/ceI3vuuWf87W9/i0GDBsWxxx4bbdq0ie222y5ee+21+Oqrr6J169bRuXPnIvvr3bt3vPHGG/HPf/4zPvvsszjkkENiwYIFMXHixEilUnH77bcX675MV111VcycOTMGDx4ckyZNiqZNm8aPP/4Y48ePj8qVK8eNN94YFSsW/hu1OnXqxDXXXBP9+vWLLl26RNu2baNWrVoxbty43HsPFXZx/Jxzzok33ngjnnzyyXjvvffi4IMPjiVLlsS4ceNixYoVMWTIkNxjOO644+LRRx+NE088Mdq1axdr1qyJN954I2bPnh1169aNhQsXxqJFi/Ldj2Zju+SSS+L111+P6667LiZNmhR/+MMf4t13342vv/46qlevXuS5GzNmTEREkc/1LrvsEi1btoypU6fGmDFjolu3bnH11VfHKaecEuedd160a9cu6tevH1OnTs0dDbdunyU5x+uqWrVqXHTRRXHDDTfEscceG+3bt4/q1avHu+++Gx9++GEcf/zxsffeexda92677RZXXXVVDBw4MLp06ZIbVL722mvx3XffxTHHHBMnnHBC7v5/+ctf4u9//3v06NEjjj322Fi9enWMHTs2MjIy8o2WqV+/fkRE3HffffHpp5/GhRdeWGgd6zrkkEOiR48e8eSTT8YxxxwTRxxxRFStWjUmTpwY33//fZx66qnRokWLIh+jtOelpCpWrBiDBg2Ks846K84999xo3bp17L777jFz5sx4//33Y5999okrr7wysf4Kc+aZZ8a4cePiwQcfjPfeey+aNm0an3zySUyfPj1q166dJ2hK4jwXZNddd42rrroqBgwYkPuaWrp0aYwbNy522WWX+Pbbb3P3rVSpUgwePDh69+4d3bt3j7Zt28Zuu+0WH330Ubz11lvRsGHDuOyyyzbY59lnnx1jx46NK664IsaNGxd77LFHzJs3L8aPHx/16tWL7t27l/g4AADKOwEUAACU0KRJk2LSpEm5y1WqVIm6detG69ato0ePHnHwwQfn2b9Xr16x9957x6OPPhrjx4+P7Ozs2G233aJv377RrVu3Au+btK5q1arFsGHD4pFHHol//vOfMXLkyKhdu3a0bt06+vTpE40aNSpW3XXr1o1nn302HnjggZgwYUI8+eSTUbdu3WjTpk2cf/75uVOpFaVLly5Rv379eOCBB+Lll1+ONWvWRKNGjWLgwIFxxBFHFNquevXq8cQTT8TDDz8cL73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       "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
+       "<Figure size 2000x1000 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -3928,7 +3982,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 137,
+   "execution_count": 284,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -3939,14 +3993,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 138,
+   "execution_count": 285,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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       "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
+       "<Figure size 2000x1000 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -3961,7 +4015,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 139,
+   "execution_count": 286,
    "metadata": {},
    "outputs": [
     {
@@ -3970,7 +4024,7 @@
        "0"
       ]
      },
-     "execution_count": 139,
+     "execution_count": 286,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3981,14 +4035,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## Profession column (Mainbranch)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 140,
+   "execution_count": 287,
    "metadata": {},
    "outputs": [
     {
@@ -4003,7 +4059,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 140,
+     "execution_count": 287,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4014,7 +4070,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 141,
+   "execution_count": 288,
    "metadata": {},
    "outputs": [
     {
@@ -4023,7 +4079,7 @@
        "255"
       ]
      },
-     "execution_count": 141,
+     "execution_count": 288,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4034,7 +4090,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 142,
+   "execution_count": 289,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -4043,7 +4099,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 143,
+   "execution_count": 290,
    "metadata": {},
    "outputs": [
     {
@@ -4058,7 +4114,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 143,
+     "execution_count": 290,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4069,7 +4125,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 144,
+   "execution_count": 291,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -4096,7 +4152,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 145,
+   "execution_count": 292,
    "metadata": {},
    "outputs": [
     {
@@ -4111,7 +4167,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 145,
+     "execution_count": 292,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4122,14 +4178,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## EdLevel"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 146,
+   "execution_count": 293,
    "metadata": {},
    "outputs": [
     {
@@ -4148,7 +4206,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 146,
+     "execution_count": 293,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4159,7 +4217,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 147,
+   "execution_count": 294,
    "metadata": {},
    "outputs": [
     {
@@ -4168,7 +4226,7 @@
        "1568"
       ]
      },
-     "execution_count": 147,
+     "execution_count": 294,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4179,7 +4237,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 148,
+   "execution_count": 295,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -4209,7 +4267,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 149,
+   "execution_count": 296,
    "metadata": {},
    "outputs": [
     {
@@ -4225,7 +4283,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 149,
+     "execution_count": 296,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4236,7 +4294,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 150,
+   "execution_count": 297,
    "metadata": {},
    "outputs": [
     {
@@ -4245,7 +4303,7 @@
        "0"
       ]
      },
-     "execution_count": 150,
+     "execution_count": 297,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4256,14 +4314,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## Undergrad Major"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 151,
+   "execution_count": 298,
    "metadata": {},
    "outputs": [
     {
@@ -4283,7 +4343,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 151,
+     "execution_count": 298,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4294,7 +4354,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 152,
+   "execution_count": 299,
    "metadata": {},
    "outputs": [
     {
@@ -4303,7 +4363,7 @@
        "10787"
       ]
      },
-     "execution_count": 152,
+     "execution_count": 299,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4314,7 +4374,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 153,
+   "execution_count": 300,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -4323,7 +4383,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 154,
+   "execution_count": 301,
    "metadata": {},
    "outputs": [
     {
@@ -4345,7 +4405,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 154,
+     "execution_count": 301,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4356,7 +4416,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 155,
+   "execution_count": 302,
    "metadata": {},
    "outputs": [
     {
@@ -4365,7 +4425,7 @@
        "1"
       ]
      },
-     "execution_count": 155,
+     "execution_count": 302,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4376,7 +4436,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 156,
+   "execution_count": 303,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -4385,7 +4445,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 157,
+   "execution_count": 304,
    "metadata": {},
    "outputs": [
     {
@@ -4394,7 +4454,7 @@
        "0"
       ]
      },
-     "execution_count": 157,
+     "execution_count": 304,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4405,7 +4465,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 158,
+   "execution_count": 305,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -4442,7 +4502,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 159,
+   "execution_count": 306,
    "metadata": {},
    "outputs": [
     {
@@ -4461,7 +4521,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 159,
+     "execution_count": 306,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4472,14 +4532,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## Job Status"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 160,
+   "execution_count": 307,
    "metadata": {},
    "outputs": [
     {
@@ -4492,7 +4554,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 160,
+     "execution_count": 307,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4503,7 +4565,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 161,
+   "execution_count": 308,
    "metadata": {},
    "outputs": [
     {
@@ -4512,7 +4574,7 @@
        "6084"
       ]
      },
-     "execution_count": 161,
+     "execution_count": 308,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4523,7 +4585,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 162,
+   "execution_count": 309,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -4532,7 +4594,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 163,
+   "execution_count": 310,
    "metadata": {},
    "outputs": [
     {
@@ -4541,7 +4603,7 @@
        "0"
       ]
      },
-     "execution_count": 163,
+     "execution_count": 310,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4552,7 +4614,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 164,
+   "execution_count": 311,
    "metadata": {},
    "outputs": [
     {
@@ -4565,7 +4627,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 164,
+     "execution_count": 311,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4576,7 +4638,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 165,
+   "execution_count": 312,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -4585,7 +4647,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 166,
+   "execution_count": 313,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -4610,7 +4672,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 167,
+   "execution_count": 314,
    "metadata": {},
    "outputs": [
     {
@@ -4622,7 +4684,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 167,
+     "execution_count": 314,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4633,14 +4695,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## JobSatisfaction"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 168,
+   "execution_count": 315,
    "metadata": {},
    "outputs": [
     {
@@ -4655,7 +4719,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 168,
+     "execution_count": 315,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4666,7 +4730,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 169,
+   "execution_count": 316,
    "metadata": {},
    "outputs": [
     {
@@ -4675,7 +4739,7 @@
        "12467"
       ]
      },
-     "execution_count": 169,
+     "execution_count": 316,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4686,7 +4750,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 170,
+   "execution_count": 317,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -4695,7 +4759,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 171,
+   "execution_count": 318,
    "metadata": {},
    "outputs": [
     {
@@ -4704,7 +4768,7 @@
        "0"
       ]
      },
-     "execution_count": 171,
+     "execution_count": 318,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4715,7 +4779,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 172,
+   "execution_count": 319,
    "metadata": {},
    "outputs": [
     {
@@ -4730,7 +4794,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 172,
+     "execution_count": 319,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4741,14 +4805,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## Employment"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 173,
+   "execution_count": 320,
    "metadata": {},
    "outputs": [
     {
@@ -4764,7 +4830,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 173,
+     "execution_count": 320,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4775,7 +4841,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 174,
+   "execution_count": 321,
    "metadata": {},
    "outputs": [
     {
@@ -4784,7 +4850,7 @@
        "969"
       ]
      },
-     "execution_count": 174,
+     "execution_count": 321,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4795,7 +4861,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 175,
+   "execution_count": 322,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -4804,7 +4870,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 176,
+   "execution_count": 323,
    "metadata": {},
    "outputs": [
     {
@@ -4813,7 +4879,7 @@
        "0"
       ]
      },
-     "execution_count": 176,
+     "execution_count": 323,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4824,7 +4890,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 177,
+   "execution_count": 324,
    "metadata": {},
    "outputs": [
     {
@@ -4840,7 +4906,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 177,
+     "execution_count": 324,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4851,7 +4917,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 178,
+   "execution_count": 325,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -4877,7 +4943,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 179,
+   "execution_count": 326,
    "metadata": {},
    "outputs": [
     {
@@ -4891,7 +4957,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 179,
+     "execution_count": 326,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4902,14 +4968,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## Ethnicity"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 180,
+   "execution_count": 327,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -4918,7 +4986,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 181,
+   "execution_count": 328,
    "metadata": {},
    "outputs": [
     {
@@ -5099,7 +5167,7 @@
        " 'Black or of African descent;East Asian;Middle Eastern;South Asian;Multiracial']"
       ]
      },
-     "execution_count": 181,
+     "execution_count": 328,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5111,7 +5179,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 182,
+   "execution_count": 329,
    "metadata": {},
    "outputs": [
     {
@@ -5120,7 +5188,7 @@
        "173"
       ]
      },
-     "execution_count": 182,
+     "execution_count": 329,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5131,7 +5199,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 183,
+   "execution_count": 330,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -5150,7 +5218,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 184,
+   "execution_count": 331,
    "metadata": {},
    "outputs": [
     {
@@ -5159,7 +5227,7 @@
        "7804"
       ]
      },
-     "execution_count": 184,
+     "execution_count": 331,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5170,7 +5238,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 185,
+   "execution_count": 332,
    "metadata": {},
    "outputs": [
     {
@@ -5189,7 +5257,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 185,
+     "execution_count": 332,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5200,7 +5268,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 186,
+   "execution_count": 333,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -5209,7 +5277,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 187,
+   "execution_count": 334,
    "metadata": {},
    "outputs": [
     {
@@ -5218,7 +5286,7 @@
        "0"
       ]
      },
-     "execution_count": 187,
+     "execution_count": 334,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5229,7 +5297,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 188,
+   "execution_count": 335,
    "metadata": {},
    "outputs": [
     {
@@ -5248,7 +5316,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 188,
+     "execution_count": 335,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5259,14 +5327,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## Dependents"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 189,
+   "execution_count": 336,
    "metadata": {},
    "outputs": [
     {
@@ -5278,7 +5348,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 189,
+     "execution_count": 336,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5289,7 +5359,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 190,
+   "execution_count": 337,
    "metadata": {},
    "outputs": [
     {
@@ -5298,7 +5368,7 @@
        "2619"
       ]
      },
-     "execution_count": 190,
+     "execution_count": 337,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5309,7 +5379,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 191,
+   "execution_count": 338,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -5319,7 +5389,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 192,
+   "execution_count": 339,
    "metadata": {},
    "outputs": [
     {
@@ -5328,7 +5398,7 @@
        "0"
       ]
      },
-     "execution_count": 192,
+     "execution_count": 339,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5339,7 +5409,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 193,
+   "execution_count": 340,
    "metadata": {},
    "outputs": [
     {
@@ -5351,7 +5421,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 193,
+     "execution_count": 340,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5362,14 +5432,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## DevType"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 194,
+   "execution_count": 341,
    "metadata": {},
    "outputs": [
     {
@@ -5378,7 +5450,7 @@
        "5025"
       ]
      },
-     "execution_count": 194,
+     "execution_count": 341,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5389,7 +5461,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 195,
+   "execution_count": 342,
    "metadata": {},
    "outputs": [
     {
@@ -5409,7 +5481,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 195,
+     "execution_count": 342,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5420,7 +5492,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 196,
+   "execution_count": 343,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -5429,7 +5501,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 197,
+   "execution_count": 344,
    "metadata": {},
    "outputs": [
     {
@@ -5438,7 +5510,7 @@
        "0"
       ]
      },
-     "execution_count": 197,
+     "execution_count": 344,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5449,7 +5521,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 198,
+   "execution_count": 345,
    "metadata": {},
    "outputs": [
     {
@@ -5464,7 +5536,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 198,
+     "execution_count": 345,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5475,14 +5547,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## LanguageWorkedWith"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 199,
+   "execution_count": 346,
    "metadata": {},
    "outputs": [
     {
@@ -5491,7 +5565,7 @@
        "656"
       ]
      },
-     "execution_count": 199,
+     "execution_count": 346,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5502,7 +5576,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 200,
+   "execution_count": 347,
    "metadata": {},
    "outputs": [
     {
@@ -5522,7 +5596,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 200,
+     "execution_count": 347,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5533,7 +5607,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 201,
+   "execution_count": 348,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -5542,7 +5616,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 202,
+   "execution_count": 349,
    "metadata": {},
    "outputs": [
     {
@@ -5551,7 +5625,7 @@
        "0"
       ]
      },
-     "execution_count": 202,
+     "execution_count": 349,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5562,7 +5636,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 203,
+   "execution_count": 350,
    "metadata": {},
    "outputs": [
     {
@@ -5582,7 +5656,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 203,
+     "execution_count": 350,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5593,14 +5667,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## CompetenceLevel"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 204,
+   "execution_count": 351,
    "metadata": {},
    "outputs": [
     {
@@ -5615,7 +5691,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 204,
+     "execution_count": 351,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5626,7 +5702,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 205,
+   "execution_count": 352,
    "metadata": {},
    "outputs": [
     {
@@ -5635,7 +5711,7 @@
        "12770"
       ]
      },
-     "execution_count": 205,
+     "execution_count": 352,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5646,7 +5722,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 206,
+   "execution_count": 353,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -5656,7 +5732,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 207,
+   "execution_count": 354,
    "metadata": {},
    "outputs": [
     {
@@ -5665,7 +5741,7 @@
        "0"
       ]
      },
-     "execution_count": 207,
+     "execution_count": 354,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5676,7 +5752,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 208,
+   "execution_count": 355,
    "metadata": {},
    "outputs": [
     {
@@ -5691,7 +5767,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 208,
+     "execution_count": 355,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5702,14 +5778,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## Current Job Satisfaction"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 209,
+   "execution_count": 356,
    "metadata": {},
    "outputs": [
     {
@@ -5724,7 +5802,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 209,
+     "execution_count": 356,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5735,7 +5813,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 210,
+   "execution_count": 357,
    "metadata": {},
    "outputs": [
     {
@@ -5744,7 +5822,7 @@
        "13838"
       ]
      },
-     "execution_count": 210,
+     "execution_count": 357,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5755,7 +5833,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 211,
+   "execution_count": 358,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -5765,7 +5843,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 212,
+   "execution_count": 359,
    "metadata": {},
    "outputs": [
     {
@@ -5774,7 +5852,7 @@
        "0"
       ]
      },
-     "execution_count": 212,
+     "execution_count": 359,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5785,7 +5863,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 213,
+   "execution_count": 360,
    "metadata": {},
    "outputs": [
     {
@@ -5800,7 +5878,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 213,
+     "execution_count": 360,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5811,14 +5889,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## LanguageDesireNextYear"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 214,
+   "execution_count": 361,
    "metadata": {},
    "outputs": [
     {
@@ -5848,7 +5928,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 214,
+     "execution_count": 361,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5859,7 +5939,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 215,
+   "execution_count": 362,
    "metadata": {},
    "outputs": [
     {
@@ -5868,7 +5948,7 @@
        "3424"
       ]
      },
-     "execution_count": 215,
+     "execution_count": 362,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5879,7 +5959,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 216,
+   "execution_count": 363,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -5889,7 +5969,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 217,
+   "execution_count": 364,
    "metadata": {},
    "outputs": [
     {
@@ -5898,7 +5978,7 @@
        "0"
       ]
      },
-     "execution_count": 217,
+     "execution_count": 364,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5909,7 +5989,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 218,
+   "execution_count": 365,
    "metadata": {},
    "outputs": [
     {
@@ -5939,7 +6019,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 218,
+     "execution_count": 365,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5950,14 +6030,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## YearsCodePro"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 219,
+   "execution_count": 366,
    "metadata": {},
    "outputs": [
     {
@@ -5977,7 +6059,7 @@
        "Name: YearsCodePro, Length: 77994, dtype: object>"
       ]
      },
-     "execution_count": 219,
+     "execution_count": 366,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5988,7 +6070,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 220,
+   "execution_count": 367,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -5998,7 +6080,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 221,
+   "execution_count": 368,
    "metadata": {},
    "outputs": [
     {
@@ -6018,7 +6100,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 221,
+     "execution_count": 368,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6029,7 +6111,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 222,
+   "execution_count": 369,
    "metadata": {},
    "outputs": [
     {
@@ -6038,7 +6120,7 @@
        "14639"
       ]
      },
-     "execution_count": 222,
+     "execution_count": 369,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6049,7 +6131,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 223,
+   "execution_count": 370,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -6058,7 +6140,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 224,
+   "execution_count": 371,
    "metadata": {},
    "outputs": [
     {
@@ -6067,7 +6149,7 @@
        "0"
       ]
      },
-     "execution_count": 224,
+     "execution_count": 371,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6078,7 +6160,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 225,
+   "execution_count": 372,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -6087,7 +6169,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 226,
+   "execution_count": 373,
    "metadata": {},
    "outputs": [
     {
@@ -6096,7 +6178,7 @@
        "0"
       ]
      },
-     "execution_count": 226,
+     "execution_count": 373,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6107,7 +6189,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 227,
+   "execution_count": 374,
    "metadata": {},
    "outputs": [
     {
@@ -6127,7 +6209,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 227,
+     "execution_count": 374,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6138,14 +6220,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## Country"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 228,
+   "execution_count": 375,
    "metadata": {},
    "outputs": [
     {
@@ -6170,7 +6254,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 228,
+     "execution_count": 375,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6181,7 +6265,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 229,
+   "execution_count": 376,
    "metadata": {},
    "outputs": [
     {
@@ -6190,7 +6274,7 @@
        "0"
       ]
      },
-     "execution_count": 229,
+     "execution_count": 376,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6201,7 +6285,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 230,
+   "execution_count": 377,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -6210,7 +6294,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 231,
+   "execution_count": 378,
    "metadata": {},
    "outputs": [
     {
@@ -6219,7 +6303,7 @@
        "0"
       ]
      },
-     "execution_count": 231,
+     "execution_count": 378,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6230,7 +6314,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 232,
+   "execution_count": 379,
    "metadata": {},
    "outputs": [
     {
@@ -6255,7 +6339,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 232,
+     "execution_count": 379,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6266,14 +6350,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## SalaryUSD"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 233,
+   "execution_count": 380,
    "metadata": {},
    "outputs": [
     {
@@ -6288,7 +6374,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 233,
+     "execution_count": 380,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6299,7 +6385,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 234,
+   "execution_count": 381,
    "metadata": {},
    "outputs": [
     {
@@ -6308,7 +6394,7 @@
        "24805"
       ]
      },
-     "execution_count": 234,
+     "execution_count": 381,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6319,7 +6405,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 235,
+   "execution_count": 382,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -6328,7 +6414,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 236,
+   "execution_count": 383,
    "metadata": {},
    "outputs": [
     {
@@ -6337,7 +6423,7 @@
        "3537"
       ]
      },
-     "execution_count": 236,
+     "execution_count": 383,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6348,7 +6434,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 237,
+   "execution_count": 384,
    "metadata": {},
    "outputs": [
     {
@@ -6363,7 +6449,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 237,
+     "execution_count": 384,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6375,7 +6461,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 238,
+   "execution_count": 385,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -6384,7 +6470,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 239,
+   "execution_count": 386,
    "metadata": {},
    "outputs": [
     {
@@ -6404,7 +6490,7 @@
        "Name: SalaryUSD, dtype: float64"
       ]
      },
-     "execution_count": 239,
+     "execution_count": 386,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6415,7 +6501,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 240,
+   "execution_count": 387,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -6431,7 +6517,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 241,
+   "execution_count": 388,
    "metadata": {},
    "outputs": [
     {
@@ -6459,7 +6545,7 @@
        "dtype: int64"
       ]
      },
-     "execution_count": 241,
+     "execution_count": 388,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6471,7 +6557,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 242,
+   "execution_count": 389,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -6481,7 +6567,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 243,
+   "execution_count": 390,
    "metadata": {},
    "outputs": [
     {
@@ -6502,7 +6588,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 244,
+   "execution_count": 703,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -6511,7 +6597,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 245,
+   "execution_count": 704,
    "metadata": {},
    "outputs": [
     {
@@ -6722,7 +6808,7 @@
        "4                      Designer;Developer, front-end  "
       ]
      },
-     "execution_count": 245,
+     "execution_count": 704,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6741,7 +6827,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 246,
+   "execution_count": 393,
    "metadata": {},
    "outputs": [
     {
@@ -6768,24 +6854,26 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## Stackoverflow Survey Analysis 2020"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 249,
+   "execution_count": 401,
    "metadata": {},
    "outputs": [],
    "source": [
-    "df = pd.read_csv(r\"C:\\Users\\Maryam\\AppData\\Local\\Temp\\survey_results_public_2020.csv\")\n",
+    "df = pd.read_csv(r\".\\survey_results_public_2020.csv\")\n",
     "#df2020.head(10)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 250,
+   "execution_count": 402,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -6800,7 +6888,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 251,
+   "execution_count": 403,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -6815,7 +6903,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 252,
+   "execution_count": 404,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -6832,7 +6920,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 253,
+   "execution_count": 405,
    "metadata": {},
    "outputs": [
     {
@@ -6865,14 +6953,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## Data Validation - Total Cells vs Missing %"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 254,
+   "execution_count": 406,
    "metadata": {},
    "outputs": [
     {
@@ -6899,14 +6989,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## Gender"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 255,
+   "execution_count": 407,
    "metadata": {},
    "outputs": [
     {
@@ -6915,7 +7007,7 @@
        "13904"
       ]
      },
-     "execution_count": 255,
+     "execution_count": 407,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6926,7 +7018,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 256,
+   "execution_count": 408,
    "metadata": {},
    "outputs": [
     {
@@ -6943,7 +7035,7 @@
        "Name: Gender, dtype: int64"
       ]
      },
-     "execution_count": 256,
+     "execution_count": 408,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6955,7 +7047,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 257,
+   "execution_count": 409,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -6972,7 +7064,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 258,
+   "execution_count": 410,
    "metadata": {},
    "outputs": [
     {
@@ -6985,7 +7077,7 @@
        "Name: Gender, dtype: int64"
       ]
      },
-     "execution_count": 258,
+     "execution_count": 410,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6997,7 +7089,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 259,
+   "execution_count": 411,
    "metadata": {},
    "outputs": [
     {
@@ -7015,14 +7107,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## Age"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 260,
+   "execution_count": 412,
    "metadata": {},
    "outputs": [
     {
@@ -7031,7 +7125,7 @@
        "19015"
       ]
      },
-     "execution_count": 260,
+     "execution_count": 412,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -7042,14 +7136,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 261,
+   "execution_count": 413,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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       "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
+       "<Figure size 2000x1000 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -7065,7 +7159,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 262,
+   "execution_count": 414,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -7075,14 +7169,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 263,
+   "execution_count": 415,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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       "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
+       "<Figure size 2000x1000 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -7098,7 +7192,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 264,
+   "execution_count": 416,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -7113,7 +7207,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 265,
+   "execution_count": 417,
    "metadata": {},
    "outputs": [
     {
@@ -7131,14 +7225,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## EdLevel"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 266,
+   "execution_count": 418,
    "metadata": {},
    "outputs": [
     {
@@ -7147,7 +7243,7 @@
        "933"
       ]
      },
-     "execution_count": 266,
+     "execution_count": 418,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -7158,7 +7254,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 267,
+   "execution_count": 419,
    "metadata": {},
    "outputs": [
     {
@@ -7177,7 +7273,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 267,
+     "execution_count": 419,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -7188,7 +7284,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 268,
+   "execution_count": 420,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -7217,7 +7313,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 269,
+   "execution_count": 421,
    "metadata": {},
    "outputs": [
     {
@@ -7233,7 +7329,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 269,
+     "execution_count": 421,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -7244,14 +7340,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## JobSat (CurrentJobSatis)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 270,
+   "execution_count": 422,
    "metadata": {},
    "outputs": [
     {
@@ -7260,7 +7358,7 @@
        "8690"
       ]
      },
-     "execution_count": 270,
+     "execution_count": 422,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -7271,7 +7369,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 271,
+   "execution_count": 423,
    "metadata": {},
    "outputs": [
     {
@@ -7286,7 +7384,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 271,
+     "execution_count": 423,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -7297,7 +7395,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 272,
+   "execution_count": 424,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -7306,7 +7404,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 273,
+   "execution_count": 425,
    "metadata": {},
    "outputs": [
     {
@@ -7321,7 +7419,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 273,
+     "execution_count": 425,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -7332,14 +7430,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## JobSeek (JobStatus)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 274,
+   "execution_count": 426,
    "metadata": {},
    "outputs": [
     {
@@ -7348,7 +7448,7 @@
        "2153"
       ]
      },
-     "execution_count": 274,
+     "execution_count": 426,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -7359,7 +7459,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 275,
+   "execution_count": 427,
    "metadata": {},
    "outputs": [
     {
@@ -7372,7 +7472,7 @@
        "Name: JobStatus, dtype: int64"
       ]
      },
-     "execution_count": 275,
+     "execution_count": 427,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -7383,7 +7483,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 276,
+   "execution_count": 428,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -7392,7 +7492,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 277,
+   "execution_count": 429,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -7414,7 +7514,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 278,
+   "execution_count": 430,
    "metadata": {},
    "outputs": [
     {
@@ -7426,7 +7526,7 @@
        "Name: JobSeek, dtype: int64"
       ]
      },
-     "execution_count": 278,
+     "execution_count": 430,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -7437,7 +7537,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 279,
+   "execution_count": 431,
    "metadata": {},
    "outputs": [
     {
@@ -7446,7 +7546,7 @@
        "0"
       ]
      },
-     "execution_count": 279,
+     "execution_count": 431,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -7457,14 +7557,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## DevType"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 280,
+   "execution_count": 432,
    "metadata": {},
    "outputs": [
     {
@@ -7473,7 +7575,7 @@
        "5954"
       ]
      },
-     "execution_count": 280,
+     "execution_count": 432,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -7484,7 +7586,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 281,
+   "execution_count": 433,
    "metadata": {},
    "outputs": [
     {
@@ -7504,7 +7606,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 281,
+     "execution_count": 433,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -7515,7 +7617,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 282,
+   "execution_count": 434,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -7524,7 +7626,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 283,
+   "execution_count": 435,
    "metadata": {},
    "outputs": [
     {
@@ -7544,7 +7646,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 283,
+     "execution_count": 435,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -7555,7 +7657,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 284,
+   "execution_count": 436,
    "metadata": {},
    "outputs": [
     {
@@ -7564,7 +7666,7 @@
        "(64461, 26)"
       ]
      },
-     "execution_count": 284,
+     "execution_count": 436,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -7575,7 +7677,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 285,
+   "execution_count": 437,
    "metadata": {},
    "outputs": [
     {
@@ -7584,7 +7686,7 @@
        "0"
       ]
      },
-     "execution_count": 285,
+     "execution_count": 437,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -7596,7 +7698,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 286,
+   "execution_count": 438,
    "metadata": {},
    "outputs": [
     {
@@ -7650,7 +7752,7 @@
        "Index: []"
       ]
      },
-     "execution_count": 286,
+     "execution_count": 438,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -7661,14 +7763,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## Ethnicity"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 287,
+   "execution_count": 439,
    "metadata": {},
    "outputs": [
     {
@@ -7677,7 +7781,7 @@
        "4051"
       ]
      },
-     "execution_count": 287,
+     "execution_count": 439,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -7689,7 +7793,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 288,
+   "execution_count": 440,
    "metadata": {},
    "outputs": [
     {
@@ -7709,7 +7813,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 288,
+     "execution_count": 440,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -7722,7 +7826,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 289,
+   "execution_count": 441,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -7741,7 +7845,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 290,
+   "execution_count": 442,
    "metadata": {},
    "outputs": [
     {
@@ -7761,7 +7865,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 290,
+     "execution_count": 442,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -7774,7 +7878,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 291,
+   "execution_count": 443,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -7784,7 +7888,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 292,
+   "execution_count": 444,
    "metadata": {},
    "outputs": [
     {
@@ -7804,7 +7908,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 292,
+     "execution_count": 444,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -7817,7 +7921,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 293,
+   "execution_count": 445,
    "metadata": {},
    "outputs": [
     {
@@ -7826,7 +7930,7 @@
        "0"
       ]
      },
-     "execution_count": 293,
+     "execution_count": 445,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -7837,7 +7941,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 294,
+   "execution_count": 446,
    "metadata": {},
    "outputs": [
     {
@@ -7872,14 +7976,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## LanguageDesireNextYear"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 295,
+   "execution_count": 447,
    "metadata": {},
    "outputs": [
     {
@@ -7888,7 +7994,7 @@
        "2394"
       ]
      },
-     "execution_count": 295,
+     "execution_count": 447,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -7899,7 +8005,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 296,
+   "execution_count": 448,
    "metadata": {},
    "outputs": [
     {
@@ -7919,7 +8025,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 296,
+     "execution_count": 448,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -7930,7 +8036,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 297,
+   "execution_count": 449,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -7940,7 +8046,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 298,
+   "execution_count": 450,
    "metadata": {},
    "outputs": [
     {
@@ -7960,7 +8066,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 298,
+     "execution_count": 450,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -7971,7 +8077,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 299,
+   "execution_count": 451,
    "metadata": {},
    "outputs": [
     {
@@ -7980,7 +8086,7 @@
        "0"
       ]
      },
-     "execution_count": 299,
+     "execution_count": 451,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -7991,14 +8097,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## LanguageWorkedWith"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 300,
+   "execution_count": 452,
    "metadata": {},
    "outputs": [
     {
@@ -8007,7 +8115,7 @@
        "396"
       ]
      },
-     "execution_count": 300,
+     "execution_count": 452,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -8018,7 +8126,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 301,
+   "execution_count": 453,
    "metadata": {},
    "outputs": [
     {
@@ -8038,7 +8146,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 301,
+     "execution_count": 453,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -8049,7 +8157,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 302,
+   "execution_count": 454,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -8059,7 +8167,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 303,
+   "execution_count": 455,
    "metadata": {},
    "outputs": [
     {
@@ -8079,7 +8187,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 303,
+     "execution_count": 455,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -8090,7 +8198,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 304,
+   "execution_count": 456,
    "metadata": {},
    "outputs": [
     {
@@ -8099,7 +8207,7 @@
        "0"
       ]
      },
-     "execution_count": 304,
+     "execution_count": 456,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -8110,14 +8218,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## MainBranch (Profession)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 305,
+   "execution_count": 457,
    "metadata": {},
    "outputs": [
     {
@@ -8126,7 +8236,7 @@
        "77"
       ]
      },
-     "execution_count": 305,
+     "execution_count": 457,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -8137,7 +8247,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 306,
+   "execution_count": 458,
    "metadata": {},
    "outputs": [
     {
@@ -8152,7 +8262,7 @@
        "Name: Profession, dtype: int64"
       ]
      },
-     "execution_count": 306,
+     "execution_count": 458,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -8163,7 +8273,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 307,
+   "execution_count": 459,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -8172,7 +8282,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 308,
+   "execution_count": 460,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -8196,7 +8306,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 309,
+   "execution_count": 461,
    "metadata": {},
    "outputs": [
     {
@@ -8211,7 +8321,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 309,
+     "execution_count": 461,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -8222,7 +8332,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 310,
+   "execution_count": 462,
    "metadata": {},
    "outputs": [
     {
@@ -8231,7 +8341,7 @@
        "0"
       ]
      },
-     "execution_count": 310,
+     "execution_count": 462,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -8242,14 +8352,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## UndergradMajor"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 311,
+   "execution_count": 463,
    "metadata": {},
    "outputs": [
     {
@@ -8258,7 +8370,7 @@
        "5501"
       ]
      },
-     "execution_count": 311,
+     "execution_count": 463,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -8270,7 +8382,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 312,
+   "execution_count": 464,
    "metadata": {},
    "outputs": [
     {
@@ -8292,7 +8404,7 @@
        "Name: UndergradMajor, dtype: int64"
       ]
      },
-     "execution_count": 312,
+     "execution_count": 464,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -8303,7 +8415,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 313,
+   "execution_count": 465,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -8332,7 +8444,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 314,
+   "execution_count": 466,
    "metadata": {},
    "outputs": [
     {
@@ -8351,7 +8463,7 @@
        "Name: UndergradMajor, dtype: int64"
       ]
      },
-     "execution_count": 314,
+     "execution_count": 466,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -8362,7 +8474,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 315,
+   "execution_count": 467,
    "metadata": {},
    "outputs": [
     {
@@ -8371,7 +8483,7 @@
        "0"
       ]
      },
-     "execution_count": 315,
+     "execution_count": 467,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -8382,14 +8494,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## Employment"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 316,
+   "execution_count": 468,
    "metadata": {},
    "outputs": [
     {
@@ -8398,7 +8512,7 @@
        "111"
       ]
      },
-     "execution_count": 316,
+     "execution_count": 468,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -8409,7 +8523,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 317,
+   "execution_count": 469,
    "metadata": {},
    "outputs": [
     {
@@ -8426,7 +8540,7 @@
        "Name: Employment, dtype: int64"
       ]
      },
-     "execution_count": 317,
+     "execution_count": 469,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -8438,7 +8552,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 318,
+   "execution_count": 470,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -8447,7 +8561,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 319,
+   "execution_count": 471,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -8460,7 +8574,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 320,
+   "execution_count": 472,
    "metadata": {},
    "outputs": [
     {
@@ -8477,7 +8591,7 @@
        "Name: Employment, dtype: int64"
       ]
      },
-     "execution_count": 320,
+     "execution_count": 472,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -8488,7 +8602,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 321,
+   "execution_count": 473,
    "metadata": {},
    "outputs": [
     {
@@ -8497,7 +8611,7 @@
        "0"
       ]
      },
-     "execution_count": 321,
+     "execution_count": 473,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -8508,14 +8622,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## Country"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 322,
+   "execution_count": 474,
    "metadata": {},
    "outputs": [
     {
@@ -8524,7 +8640,7 @@
        "0"
       ]
      },
-     "execution_count": 322,
+     "execution_count": 474,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -8535,7 +8651,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 323,
+   "execution_count": 475,
    "metadata": {},
    "outputs": [
     {
@@ -8556,7 +8672,7 @@
        "Name: Country, Length: 170, dtype: int64"
       ]
      },
-     "execution_count": 323,
+     "execution_count": 475,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -8568,14 +8684,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## YearsCodePro"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 324,
+   "execution_count": 476,
    "metadata": {},
    "outputs": [
     {
@@ -8584,7 +8702,7 @@
        "8123"
       ]
      },
-     "execution_count": 324,
+     "execution_count": 476,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -8595,7 +8713,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 325,
+   "execution_count": 477,
    "metadata": {},
    "outputs": [
     {
@@ -8621,7 +8739,7 @@
        "dtype: object"
       ]
      },
-     "execution_count": 325,
+     "execution_count": 477,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -8632,7 +8750,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 326,
+   "execution_count": 478,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -8647,7 +8765,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 327,
+   "execution_count": 479,
    "metadata": {},
    "outputs": [
     {
@@ -8656,7 +8774,7 @@
        "0"
       ]
      },
-     "execution_count": 327,
+     "execution_count": 479,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -8667,14 +8785,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## Hobbyist"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 328,
+   "execution_count": 480,
    "metadata": {},
    "outputs": [
     {
@@ -8683,7 +8803,7 @@
        "0"
       ]
      },
-     "execution_count": 328,
+     "execution_count": 480,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -8694,7 +8814,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 329,
+   "execution_count": 481,
    "metadata": {},
    "outputs": [
     {
@@ -8706,7 +8826,7 @@
        "Name: Hobbyist, dtype: int64"
       ]
      },
-     "execution_count": 329,
+     "execution_count": 481,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -8717,7 +8837,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 330,
+   "execution_count": 482,
    "metadata": {},
    "outputs": [
     {
@@ -8751,14 +8871,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## ConvertedComp (SalaryUSD)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 331,
+   "execution_count": 483,
    "metadata": {},
    "outputs": [
     {
@@ -8767,7 +8889,7 @@
        "14202"
       ]
      },
-     "execution_count": 331,
+     "execution_count": 483,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -8778,7 +8900,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 332,
+   "execution_count": 484,
    "metadata": {},
    "outputs": [
     {
@@ -8793,7 +8915,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 332,
+     "execution_count": 484,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -8812,7 +8934,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 333,
+   "execution_count": 485,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -8824,7 +8946,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 334,
+   "execution_count": 486,
    "metadata": {},
    "outputs": [
     {
@@ -8844,7 +8966,7 @@
        "Name: SalaryUSD, dtype: float64"
       ]
      },
-     "execution_count": 334,
+     "execution_count": 486,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -8857,7 +8979,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 335,
+   "execution_count": 487,
    "metadata": {},
    "outputs": [
     {
@@ -8872,7 +8994,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 335,
+     "execution_count": 487,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -8884,7 +9006,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 336,
+   "execution_count": 488,
    "metadata": {},
    "outputs": [
     {
@@ -8893,7 +9015,7 @@
        "2952"
       ]
      },
-     "execution_count": 336,
+     "execution_count": 488,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -8905,7 +9027,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 337,
+   "execution_count": 489,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -8914,7 +9036,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 338,
+   "execution_count": 490,
    "metadata": {},
    "outputs": [
     {
@@ -8923,7 +9045,7 @@
        "0"
       ]
      },
-     "execution_count": 338,
+     "execution_count": 490,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -8934,14 +9056,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## Cleaned Dataset:2020_Survey"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 339,
+   "execution_count": 491,
    "metadata": {},
    "outputs": [
     {
@@ -8975,7 +9099,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 340,
+   "execution_count": 492,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -8985,7 +9109,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 341,
+   "execution_count": 493,
    "metadata": {},
    "outputs": [
     {
@@ -9177,7 +9301,7 @@
        "4     Developer         Math/Stat           7.0  Not seeking  "
       ]
      },
-     "execution_count": 341,
+     "execution_count": 493,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -9188,7 +9312,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 342,
+   "execution_count": 494,
    "metadata": {},
    "outputs": [
     {
@@ -9235,7 +9359,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 343,
+   "execution_count": 495,
    "metadata": {},
    "outputs": [
     {
@@ -9262,7 +9386,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "# Visualization\n",
     "After cleaning the datasets, we started visualizations to analyze the datasets."
@@ -9277,7 +9403,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 496,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -9286,7 +9412,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 345,
+   "execution_count": 497,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -9296,7 +9422,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 346,
+   "execution_count": 498,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -9305,7 +9431,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 347,
+   "execution_count": 499,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -9316,7 +9442,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 348,
+   "execution_count": 500,
    "metadata": {},
    "outputs": [
     {
@@ -9325,13 +9451,13 @@
        "Text(0.5, 1.0, 'Income vs Gender')"
       ]
      },
-     "execution_count": 348,
+     "execution_count": 500,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
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       "text/plain": [
        "<Figure size 2000x1000 with 1 Axes>"
       ]
@@ -9362,7 +9488,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 349,
+   "execution_count": 501,
    "metadata": {},
    "outputs": [
     {
@@ -9383,12 +9509,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 350,
+   "execution_count": 502,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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Vivpk7kdyeuedd9SoUSPdeeedWrx4cdTd1lmvK686vnr1alWtWjWy3Oeff65u3bqpcePGqlWrlm699dbI+zVnzhzdfPPNGjp0qBo1aqTGjRvrqaeeivrdO14JCQm66aab9NNPP+U5f+fOnXrggQeUkpKiWrVqqWXLlnr//fcj87dt26Y+ffqobt26aty4sQYPHiyfz5drO6+++qquuuoqbdq0Kc/nWbJkiTp16qQ6deqodevWmjx5cuS37IknnlDfvn113XXXqVGjRvrzzz9zrf/LL7+od+/eatCggZo2barBgwfr0KFD2rdvn5KTkxUIBPTII4/ke+d5QfuTvn37au7cufryyy+VnJwsn8+nqlWraujQoWrYsKH69OmTqyXMihUr1LlzZyUnJyslJUXTpk2TdPKPjX///Xf16NFDycnJatu2ba5WYRs2bFCPHj1Uv359tWrVSpMnT44c0+/cuVN33nln5D277777tGvXLknh78WoUaPUrFkz1alTR927d9fGjRslHf37VrVqVb399ttq3bq1kpOT1a1bN/3yyy+SCrdv/zcdz3FTlrxuQpw7d67Gjx+vNWvWRI6ls9/MlfNYIy0trcDvvhSumzfccIOSk5N13XXXRfZFx3LOhaKX176WunF2Otpvut/v17Bhw9SwYUM1atQoVyiXvd54PB4NGjRIDRo0ULNmzfS///1PKSkpkX3Tnj179Mgjj6hJkya68sorNXDgwMgxbGGOcWfNmqU2bdqoTp06atu2bVRLoJw3YeY8tsvvOByxjyDnLNWsWTPt3r07cnHX5/Np+fLlevLJJ7V9+/bI9EOHDunHH39UixYtIuuuWLFC7du3V3Jysjp37qxff/1VUvQJT8+ePZWamqpBgwZFLtYVdKCaUygU0oQJE3T11Verbt266ty5s5YvXx6Zn5KSooEDB6pJkybq0KFD1MFdlvxOOJYsWaI77rhDktSiRYvj3mHl1Y3E0X7s8zuJkcI/GDfddJMGDhyoOnXq6Morr9Rrr70WeY9O5CT4WC90HO3H6WgXA/M7KZbyP3GSpJUrV6pz586qV69eriapBZ04jR07VvPmzdO8efNOyt0Pbdq00aBBgzR48GAtXLhQO3bsUJkyZTR8+HCVLFlSUvik8c8//9TcuXP1xRdfqFKlSrr99tuPevHIarVq/vz5kqT58+fr+uuvlxRusVC/fn0tX75co0aN0vjx4/O9E3Tjxo36+eef1alTJ7Vt21Z79+7VsmXLIvPffPNNpaWl6YsvvtDSpUtVpkwZvfTSS7m2s2jRIk2dOlVjxozRmjVrNHPmTH311VeaN29eZJk5c+aoR48e+vbbb9W7d28NHz5cO3fuPKb380xR2IOfrOXefvttNWnSRHXr1tWjjz4aqRs+n08jRozQddddp+TkZDVu3FhDhgyJfNd79Oihl19+Wd27d8914C9Fn5ju3btXjzzyiOrXr6+GDRvqwQcf1IEDB/Is/9H2P506dVLPnj1Vr169qDpQWO+//746deqkhg0bKjk5WXfffbf27t2rbdu2qXfv3pLCrYnWrVsXdcI9ZswY9e3bV4888ojq1aunpk2bRrUM9Xg8euGFF9SsWTPVr19fPXr00A8//HDM5YsFzZs3l9/vj2qt+v7776tz5875rjN79mxNmTJF48eP18qVK2W326PCimeffVZbt27VJ598oo8++kjfffddvtvq37+/tm7dqjlz5mjJkiVKSEjQfffdl+9v8dF4PB7dc889at26tb788kutXr1a559/vl544QVJ4Tuk161bp0WLFmnlypWqX7++nnnmmTz3g1988YUGDRqkgQMH6ptvvtH999+v+++/P6p7l5UrV2rmzJn66KOPFB8fL0latmyZPvjgAy1evFh79uzRa6+9dlyv5Wx1//33q0qVKvr000+1Zs0aXXnllRo8eLAk6euvv9a7776rWbNmafXq1erSpUvkRHbx4sWSwnezZn2/c5o+fbq6d++u4sWLq127dnrzzTcj87Zt26Zhw4ZpwoQJWrNmjR577DENGTIkcpEyy9HqmCTt2LFDO3fu1KeffqpZs2Zp3bp1eXatdDaJteOYkSNHatmyZZo8ebKWL1+uWrVqqWfPnvJ6vSd1P5KTz+fTe++9p+7du6tSpUpq2LBh1EX3gup4dn///bf69eunu+66S6tWrdKyZctkmqbGjh0bWWbt2rUqVaqUli9frvHjx2vhwoX65JNPjulzy8uBAwe0YMECtWrVKs/5AwYMkN1u14IFC7R27VrdeuutGjJkiNLT0xUIBNSrVy+VKVNGX375pebPn6/169fnal07atQozZ07VzNmzFDlypVzPcfXX3+tBx54QHfeeae++eYbvfLKK3rrrbei3susz/2TTz7R+eefH7X+vn37dNttt6ly5cr68ssvNXv2bG3evFmPPfaYkpKSIvVk4sSJGj58eJ6vs6D9yejRo9W2bVu1bdtW69atk8PhkCT9+eefWrZsWdT+QpI2b96sPn36qFu3bvr22281evRovfLKK1q+fPlJPTb2+/26++67dckll+jrr7/WK6+8oiVLlkTm79y5U//5z3907bXXauXKlXrttdc0Y8YMvfvuu5KkV155ReXKldOKFSu0cOFCZWRkaMKECZKk119/XfPnz9cbb7yhb7/9Vg0aNNDdd9+tYDBY4Pcty4IFCzRt2jR9+eWXcrvdkfeoMPv2f9PxHDcVpGPHjrr77rtVr169fFu3Zz/WSEtLK/C7v3r1avXv31+PPvqovvvuOz355JN67LHHcgWihalXKFpH29dK1I2zSUG/6a+99pqWLVum999/X59//nnkemhenn/+ef3444/68MMPtXDhQqWmpmrHjh2Swtc8//vf/8pisWjx4sWaN2+edu3aFdVrRUHHuHPmzNHw4cM1YMAAffvtt+rfv7+eeeaZQnVnXNjjcMQmgpyz1DnnnKPq1avr66+/lhS+uH7OOeeoVq1aql+/ftTdaKVLl1aNGjUi637zzTd64403tGrVKiUlJWnEiBG5tv/mm2+qQoUKeuaZZzRw4MCjHqjmNHbsWE2fPl2jRo3S6tWr1bNnT/33v/+Nunj3ww8/RH74LJboqlzQCcfVV18ducNo3bp16tKly4m9mQXI/mPv9/vzPYnJ8v3338vtdmvVqlV6/fXXNWXKlMhddSdyEiwd24WOo/04FXQxsKCT4oJOnDZu3Kh77rlHd911l1avXq0hQ4bo+eefjwrw8jtxuvfeeyMncCejP9KhQ4dq4MCB+uuvvzRw4EClpKTommuuiWx727Zt+uabb/T000+rTJkycrlceuSRRxQIBPTFF18c13Necsklat++vQzDUKNGjVS6dOk872iUpLffflvt27dXiRIl5Ha71aVLl6gTWpfLpY0bN+qDDz7Qzp079fzzz+fZ7VzTpk31/vvv68ILL9TevXu1b98+JSYmRp2MZrXqsdlsuvHGGxUMBvMt1+numWeeUb169aIezzzzTJ7LFubg55NPPtG8efP08ccfa+vWrZFtTZkyRcuXL9eUKVO0bt06vfbaa5o5c2ZkfyxJ7733np566imtXr1arVq10sCBA/McC6lfv35KS0vTJ598os8++0wHDx7Ms8wFXUTJsmHDBrVt21YrV67UNddcc0zv3Q8//KChQ4dq8ODBWr16tRYtWqQtW7Zo6tSpqlixYtQ+N68xBz755BNdeeWVke/+xIkTI0H04MGD9dVXX2nq1KlasWKFrr76at1+++1F3sXd8bDZbGrbtm2kmxCPx6PFixerQ4cO+a7z4Ycf6qabblKNGjXkcDjUr18/JSUlSQpfpFy0aJHuv/9+lSpVSklJSVGfaXb//POPFi9erKeeekqlSpVSfHy8+vfvrx9//FEbNmzI9/n79OmT63tx9913S5Lsdrveffdd3XLLLfL5fNqxY0fUPsTlcmn79u16//33tXnzZvXr1y/fffS0adN08803q379+rJarWrRooVSUlI0c+bMyDJNmzZV2bJlVbx48ci03r17q3jx4ipdurRSUlLO+rGYcsprv9a2bdvI/PHjx+v++++XaZrasWOHihcvHvn8nE6nDhw4oPfee08///yzunTpolWrVslutx/1edesWaO//vpL7du3lyT95z//0ZIlS7Rt2zZJ4TDANE3NnDlT3333nRo3bqz169frnHPOidrO0epYlnvvvVcul0sXXHCBGjZsqM2bN5/Q+3a6i6XjmKzP+aGHHlLFihXldDp17733yu/3a9myZSd1P5LTokWLlJiYqCuvvFJSuB6+9957kbCqsHW8ZMmSWrBggVJSUpSWlqa///5bSUlJUfXQ5XKpT58+stvtqlmzpqpWrXrc9TBrv1unTh01aNBAX3zxhbp27ZrnskOHDtWgQYNkt9uVmpqq+Ph4eTweHThwQGvXrtWOHTvUv39/xcfHq1SpUnr11Vejzn1GjRqlSZMmadq0aapYsWKezzFnzhy1bNlS119/vWw2m2rUqKG77rorav9cu3ZtValSJWr/nOWzzz6T3W7XI488IpfLpTJlyujpp5/W559/rt27dx/1/Tja/iQ/N9xwg9xud64yLViwQDVq1FDnzp1ls9l02WWXacaMGapRo8ZJPTZet26d/vrrLz322GNyOp265JJLIjcTSuFxey6++GJ1795ddrtdlStXVq9evSK9RTidTn333XdasGCB0tPTNWnSJA0YMEBSuGXJnXfeqcqVK8tqteqee+7RqFGjFAqFCvy+ZenRo4fKlCmjYsWK6brrrovZ387jOW46UdmPNY723f/ggw/UqlUrNWvWTBaLRU2bNtWMGTNUtmzZXNs8Wr3Cv+9Y9rUSdeNsUtBv+ocffqhevXqpYsWKiouL04ABA2QYRq5t+P1+ffTRR3rwwQdVvnx5xcfHa+DAgbJarZKkn376SRs2bNCgQYOUkJCgpKQkPf7441qwYEFUbzP5HePOnj1bXbt2VePGjWW1WtW4cWN17do16rc5P4U9DkdsshV1AVB0mjVrptWrV6t79+5asmSJWrZsKSncqmT+/Pm66667tHLlyqjWOJJ0xx13qHTp0pKkq6++ulD9e2Y/UJUUOVCdNm2aunXrlmv52bNn66677ooESNdff70WL16s999/XzVr1pQUbvqd18mCFH3CISlywvH222/r9ttvL8S7E+6WIq/ui8aNG1fobo2yfuyl8N1DWScxVqtVLpdLTz/9tNq0aRM5iUlMTNQjjzwiu92uyy+/XF27dtVHH32kzp07a+bMmRo9enTkJOvee+/Ve++9p2XLlunqq6/Wu+++qwsuuEBerzdyEvzjjz9GlaewFzo+/PBD9enTJ/JcAwYMiJw0Z10MXLRokUqVKiUpHOzUq1dPGzZsiDopbtGihbp06aKuXbvKMIyoEydJkROnc845R6NHj1bLli0jd8HUqVNHN910k6ZPn66rrrpK0pETJ0m68cYbNWjQIP3555+5DohOlMViUfv27dW+fXuZpqnff/9dH374oR577LHIBQ9JUSe8VqtV5cuX144dO1SrVq1jfs6c/YE7HI6o7pOy7N+/X/Pnz5fFYtHHH38sKdy9Qlpamn766Sdddtll6t27txwOh95//309++yzqlixoh5++OFcdxiZpqmRI0dq6dKlKlmypKpVqya/3x91d35WtyySIhc28moBdyYYNGhQZDywLHPmzNGrr76aa9nsBz+tW7eOHPxYLJZIi50nn3wy6s7ne+65R88995xuuukmdezYUaVKldKuXbvk8XgUHx8fdcDeunXrSJcRHTt21Lhx4/TPP/9Edeu2Y8cOffPNN/r4448jF/aHDx+e5yDB2S+i5Lf/sdvtat++fa5gvDCqVKmi+fPn67zzztOBAwe0a9culSxZstAnIRdeeGHkpLxZs2YqU6aMtmzZomrVqmn+/PkaO3asLrjgAknhCzjz5s2L/E6dbjp16qSuXbsqLS1NS5YsUZ06daK+Zznt2rVL5cuXj/xttVoj9WDfvn3y+XxR8/O7EJd199dNN90UNd1qtWr79u267LLL8lxv3LhxatiwYZ7zrFarVq9erd69eysjI0OVK1eWzWaL7EPatGkjv9+vWbNm6ZVXXlGpUqXUp08f3XzzzXmW75tvvtE777wTmRYMBtWoUaPI33mdXGQdj0iKem6E5bVfy27jxo3673//q927d+viiy9WyZIlI+9hcnKyxowZo7fffluTJk2Sy+VSjx49dM899xx1PzFt2jSlp6erefPmkWmhUEiTJ0/W008/rQoVKkS226dPHwWDQXXq1CnXOCBHq2NZcv5Wne31IJaOY/bu3auMjAz169cvqt74/X7t2LHjpO5Hcpo2bZq2bdsWtR9JS0vTe++9p549exZYx7Oz2+2aP3++Zs6cKcMwVKVKFaWlpclmO3IqXapUqagLOSdSD7Pvdz0ej6ZPn67//Oc/evfdd6NurpPCodwLL7ygLVu26MILL4z8VoZCIe3evVtJSUlyu92R5c877zxJihyr/Pbbb0pMTNS8efPy/U39559/VK1atahp5513XuR3Rcp7/5x9/QoVKkQuXmUvR1ZrsYIcbX+Sn/zKtGvXrlzd5F566aWSwr1RnKxj4507dyopKSnyfZMU1Vppx44d2rBhQ9R5ZSgUirxPAwYM0Pjx4/XGG2/oiSee0KWXXqoBAwaoXr162r17d9RrcDgcql27tv75558Cv29ZTqffzmM9bjpR2evN0b77u3btiuriTVLkWkV2hTnnwr/vWPa1EnXjbFLQb3rOc7PixYurRIkSubaxf/9+ZWZm6txzz41MywpspPDvcDAYVLNmzaLWczgcUTcq5HeMu2fPnlznfeedd54+//zzo76+go7DnU7nUddH0SLIOYs1b95cM2bMUCAQ0NKlSyPN7FNSUjRs2DDt27dPK1asUP/+/aPWy36iZrfb87zYnNPRDlRzym+nlNX3r3T0E4ajnXAcTd26dfX2228Xevm8ZC/j0U5iJOncc8+NuguwfPnyWrx48QmfBGcp7IWOgn6cjnYx8Nprr833pLigE6cdO3bo66+/jqojwWAw6oTn3wgVli9frr59+2rp0qVKTEyUYRiqXLmyHn74Ya1YsUI///xz5G7mP//8U5dcckmkrKmpqSpTpkzkM87eNcfJGsPn/fff1/nnn5+r3+r+/fvrrbfe0ssvv6xffvlFKSkpuv3223Xo0CHNmDFDDz74YFSLD0l66aWXlJqaqs8//zwyYGj2O7WRv8JchMy6mCKFv8s+n0/79+9XKBTSs88+q2+//VblypVT9erVZZpmVF3OXtezTghy1vWsACb7wWGZMmXyPLktzP6nTJkyxxXiSOGLhlOnTtW8efMUFxenqlWrKi0trdAnITnLbLfbFQqFdODAAfn9/khZs5c9+9gNp5NLL71UlSpV0qJFizRv3jz95z//KXD5cuXKRR3Mm6YZafmVlJQkp9Opbdu2qVKlSpKU7xgxWYH3okWLot7vTZs25Rv+HM3333+vIUOGaObMmZEg6M0334zcJLB582bVqFFDHTp0kMfj0ccff6zHH39c9erVi7qwmPU6O3ToEHUhMTU1NeoCWF53u+H47dy5U/369dOrr74aGTti8eLFka4jUlNTVapUKb3xxhvy+XxatWqV7rvvPtWoUSPqgmpe212yZIkmTpyoiy66KDL9yy+/1LBhw9S3b18FAgEFg0GNHTtWoVBIa9euVd++fXXRRRdFndAerY4ht1g7jsnaT7355puqXbt2ZPoff/yhsmXLntT9SHY//PCDfv75Z82dOzfqxq/33ntPU6dO1W233aZdu3blW8ezb3vRokWaNm2a3nnnnchv+5AhQwrsTuVkcblc6tWrlyZMmKCVK1dGXVzM6rrroYce0i233CLDMPTTTz9Fbr4qV66c9u3bp8zMzMjrWbNmjX766SddffXVksIt/rds2aK+ffuqWbNmUeMCZTn33HNztTjZtm1b1G9JQfvnc889V6mpqQoGg5G6lbW9o12QL8z+JK8LaAWVqXz58rlans2ePVulSpXS0qVLT9qxcfny5bV3716lp6dHugPN/htdrlw5NWzYUG+88UZk2r59+5Seni4p3F1h165ddf/992vv3r0aO3as7rvvPn399dcqX7581HhPfr9fL774onr16lXg9+10VJjjJovFEtVyfe/evcf9fNnrzdG+++XLl8/VQjzney9xznU6KGhfm4W6ASn3uVlGRkaku/LsSpUqJZfLpdTU1Mh5WkZGRuR4qly5cnK5XFq9enXkt9Hn82nbtm264IILCuwuWwqfDxf022yxWPI9jvvnn3/yPQ7PuvkesYuu1c5il19+uSwWiz744AOZphnp7ubcc8/VJZdcog8//FC7du2KuovteGUdqK5Zsyby+OyzzyLNpHM699xzczWX37ZtW1QwcrQThqOdcJyonDvGUCiU60747GXMfhKTJedJzK5du6IufG7fvl0VKlSIOgnO/h7OnTtXXbt2jZwEjxw5UitWrNCUKVMiLVeOR0E/TtkvBmYvy5w5c9SiRYuoCz/ffPONRowYoXHjxunLL7/M84Bm9uzZWrZsmcqVK6eOHTtGbXPx4sWRvqD/LfXr11epUqX05JNP6pdffpHf71daWpo++ugjbdmyRc2bN9c555yjZs2aaejQodq9e7c8Ho9eeuklBYNBtWjRQqVKlVKJEiW0YMECmaapDRs2RFrPSIrc5XCsgzGHQiHNmDFDN954o8qVKxf16Natmz7++GOlpqZq1qxZeuyxx/TPP/8oISFBCQkJiouLi/QZniUtLU1Op1NWq1Ver1dvvvmmfv3115MyOO+ZLvvBz+rVqzVhwgQtXLgwaoDh7K1Rtm/fLrfbraSkJA0YMEButzvS//GwYcOOK5DMCluzf6c2bdqk//3vf7mWLcz+50Qukk+ePFkrVqzQvHnz9Nlnn+m1116LCpiOV+nSpSNBRXZ//vnnad30u1OnTpo8ebI2b96c6y6snLp06aL33ntP69atk9/v1+uvvx4J8RwOhzp06KBRo0bp77//1qFDh/Tiiy/muZ2yZcuqefPmeu6557Rv377Itjp37hwZ/PxYHTp0SBaLJRK2rF+/XlOnTo0MpL106VLdd9992r59u1wulxITE2Wz2VSsWLFc+8GbbrpJU6dOjXSh+uOPP6pTp06RMTBw8qWnpysYDEYu8G7atCnSt7vP59OPP/6oO++8Uxs3bpTD4Yi0ws26k9DhcOR54jpz5kxdfPHFaty4cdTvVIcOHeR0OvXOO+8oNTVVPXv21KpVq2SxWCLHFlnbznK0OobcYu04xmKxqHPnznr55Zf1999/KxQKae7cubrhhhu0devWk7ofyW7atGlq1qyZqlSpElUPb7nlFu3Zs0eLFi06ah3Pkr2Mpmnqyy+/1AcffPCvHC8FAgHNnj1bBw8eVN26daPm+f1+eTweuVwuGYah1NTUyG+A3+9XzZo1deGFF2rEiBHKzMzUnj17NGzYsKiL3Ha7XS1atND111+vxx57LM/v1o033qjPP/9cixYtUjAY1M8//6yJEyfqxhtvLNRryPqde+mll+TxeLR7924999xzatSo0VGPFQqzPzlWbdq00c8//6wPPvhAwWBQP/30k4YPHy6bzXZSj42Tk5N10UUXaejQocrMzNTWrVujukJu27at1q9fr48++kiBQEC7du1Snz59IuMEjRs3TkOGDFFaWpqKFy8eOY6UwscRb7zxhjZv3qxAIKDx48dryZIlKlmyZIHft8LIb99elI523HTxxRdrzZo12rlzpzwej8aOHZvvca3T6Sz0zUZH++537NhRn376qb766iuFQiEtX75cY8aMUbFixaK2wzlX7CtoX5sX6sbZq0uXLpo0aZJ+//13eb1eDR8+PM+b27OOf8aMGaOdO3cqMzNTw4YNiyxbs2ZNXXDBBRo+fLjS09Pl8Xj0/PPP6/bbby/UzfKdO3fWu+++q1WrVikYDEaGOMj6bb744ou1fPlyHTx4UIcOHYq6Ebiwx+GITQQ5Z7GsvjrHjRunFi1aRN2JnZKSoilTpuiKK6447qZ12Q8Cj3agmlOXLl00YcIEbdiwQcFgUIsWLdLnn3+ujh07Fuq5T/SEozAuvvhi/fLLL/rtt98UCAQ0adIkZWRk5Lt8YU5idu/erQkTJsjv9+uHH37QrFmz1KVLlxM+CT5WBf04He1iYEEnxQWdOHXu3Fnz58+PHOxs2bJFt956a9QJT0FO1kmHy+XSjBkzVKZMGd1zzz2qV6+emjdvro8++khvvfWWLr74YknSCy+8oIoVK6pjx4664oor9Msvv2jKlClKTEyUw+HQkCFDtGjRItWpU0fDhw+PasFUunRpXXPNNeratesxnYAuXbpUu3btUrt27XLNS0lJUVJSkqZMmaKHHnpIF1xwgdq0aaM6depozpw5eu2113J9lx944AF5PB5dccUVSklJ0fr169W+fft/5Q7T011hDn5efvllpaWlaefOnRo9erTat28vu90eOWC3WCxKS0vTCy+8oLS0tGM+YC9btqyaNGmiF154QQcPHlRaWppefPHFPPuMP5GLKNll9QGd/ZGRkRHpSsButysQCOjDDz/U8uXLI68pq+4d63fUYrHoxhtv1CuvvKKtW7fK5/NpypQp2rRpk9q0aXNM24olWfvudu3aRXXNk9+yffv21YMPPqgGDRpo27ZtUXdMP/XUU6pZs6batm2rVq1aFdgl0gsvvKDixYurQ4cOatSokb744gtNmjSpwJscevfureTk5FyPhQsXqkmTJrrlllvUvXv3yADkPXr00N69e7Vnzx7ddtttat68ubp166batWvrxRdf1MiRI1WuXLlc+8Frr71WDz30kPr37686deqoX79+uv3229WjR49jf4MRMWjQoDw/v4kTJ6pSpUp67LHH9Oijj6pu3brq16+fbrzxRtntdv36669q3bq1evbsqXvuuUe1a9dWv3791L9//0gd69q1qx5++GGNHDky8nxZXWDldbzmcDjUsWNHTZs2TVWrVtXAgQM1ePBgJScnq3v37rrlllt03XXXRa1ztDqG3GLxOObxxx9XrVq1dMstt6hevXqaPHmyRo8ererVq5/U/UiWvXv3atGiRXl2K5g1ntZbb7111DqeJes9atOmjRo1aqTXX39d//nPf7R58+ZTEipm3+82aNBA06dP1yuvvKI6depELRcXF6fnn39eY8eOVXJysm677TY1adJEpUuX1q+//iq73a5x48Zp586dat68udq3b6/69eurb9++uZ7zqaee0t69eyM9NGRXq1YtjRo1ShMnTlS9evV033336eabb1afPn0K9XqKFSumt956S7/++quaNWumG264Qeeee65GjRpV4HqF3Z8c62dw/vnna8KECZo+fboaNGighx56SE888YSuvPLKk3psbLVaNWHCBO3atUtXXHGF7rzzzkhX5lL4JptJkybp3Xff1RVXXKH27durUqVKkfPjZ599VqFQSC1btlT9+vX1/fffR96zO++8U23btlWvXr0iN0tOnDhRdru9wO9bYeS1by9qRztu6tq1q5KTk9WuXTtdc801Kl++fK5eILK0aNFC+/fvV926dY96I8vRvvt169bViBEjNGLECNWrV08vvPCCXnnllUhLxyycc8Wmwu5r80LdOHv17t1b7dq106233qorr7xSxYoVy9W9bJaHH35YlSpV0vXXX6/WrVurXLlyslgsstvtstlsGj9+vPbs2aNWrVrpyiuv1J9//qm33nqrUNdgr7vuOj355JMaOnSo6tWrp8GDB+uxxx6LdFd+9913q1SpUmrZsqXat28faX0vhW/qL8xxOGKUibPaggULzCpVqpiffvpp1PQff/zRrFKlijlr1qyo6VWqVDG//vrryN+zZ882W7RoYZqmaX799ddmlSpVIvMmTpxo1qpVy3z44YdN0zTNtWvXmrfccotZv359s1GjRuYTTzxhHjp0KM9yBQIBc/z48eY111xj1q5d22zfvr25ePHiyPwWLVqYs2fPLvC1LVmyxOzYsaNZu3Zts0WLFubrr79uBgKBPMua0+jRo81LL73UrF27dq5H27ZtTdM0Tb/fbz799NPmFVdcYTZq1MgcPny4ecstt0TKdeutt5qjR4+O2u6vv/5q9uzZ02zQoIHZoEED88knnzT37dsXeS+bNGliDhgwwGzQoIHZokULc9q0aZF1PR6P+eKLL5otWrQwk5OTzXbt2kU+t1AoZA4bNsxs0KCBWa9ePbNDhw7mpEmTzGrVqpm7d+/O8/U+/vjj5uOPP57n6w8Gg+bIkSPNRo0amfXq1TNfeOEFs0GDBpHPfv/+/ebTTz9tNm3a1KxTp47ZtWtX89tvv42sP27cOLN58+ZmrVq1zJSUFHPGjBmReatWrTI7d+5s1qlTx7zmmmvM999/PzJv6dKlZseOHc06deqYTZo0MYcNG2Z6vd58y5u9Pq5atcps1KiR2axZs3w/VyA/+e1Tsu/jtm3bZlapUsXctm2baZqmOWvWLLNVq1Zm7dq1zauuusocM2aMGQqFIssNHz7cbNasmdmgQQNzyJAhpsfjMU0zvH/N2jc1adLEfOqpp8xevXqZzz77rGmaufcdOZ83e73/559/zEcffdS84oorzAYNGhS4Xz3a/ifrdebn1ltvNatUqZLrMWPGDHPfvn3m3XffbSYnJ5uNGjUye/bsaQ4dOtS84YYbTNM0zfT0dPPmm282a9WqZS5btizq+zx69Gjz1ltvzffzyMjIMEeMGGE2b97crF27ttm1a1fzm2++KbCsAAAAAAAUlW+++cY8cOBA5O9Dhw6ZVapUMTdv3lx0hcJpzzBNRtECYkHWoOqFGZwMQOzavn27WrZsqc8++yzX2C4AAAAAAODMds8996h48eJ65plnZBiGXn75ZX355ZdR3dUCx4qu1QAAAAAAAAAAOAkGDx6sQ4cOqVmzZmrSpIm2bt36r48BjTNPwR2zAwAAAAAAAACAQilbtqxee+21oi4GzjB0rQYAAAAAAAAAABCj6FoNAAAAAAAAAAAgRhHkAAAAAAAAAAAAxCiCHAAAAAAAAAAAgBhFkAMAAADgjBUMBou6CCgAnw8AAABwdLaiLgAAAACAM9OcOXP05JNPHvf6w4YNU6dOnY57/VWrVmnixIl68803j3sbealataokqU+fPnrwwQePezuZmZmaP3++li5dqo0bN2rPnj2SpJIlS6p69epq1aqVrr/+ejkcjpNS7lji8/k0YcIEORwO3XXXXUVdHAAAACCmEeQAAAAAOOPMmjVLAwYM0LnnnlvURcnTrFmz9NJLL2n//v255v3111/666+/9Nlnn+n111/Xiy++qJo1a/77hTyFbr/9dn333Xe67777irooAAAAQMwjyAEAAABwSrRr106tW7fOc94NN9yg1NRU1a1bVxMnTsxzGafTedzP/ffffx/3uqfaoEGDNHPmTElS2bJldeutt+qKK65QhQoV5PV6tXXrVs2ePVsLFizQli1b1KNHD7311luqU6dOEZf85InlzwcAAACINQQ5AAAAAE4Jm80mmy3vUw7DMCRJVqtV8fHx/2axitT48eMjIU6jRo302muv5Xr95cuXV6NGjdSlSxfdeeed8ng86tu3rz7++GMlJCQURbEBAAAAFCFLURcAAAAAAM4GW7du1ZgxYyRJ1apV0/jx4wsMsRo0aKCHHnpIkrR7925NmTLlXyknAAAAgNhCkAMAAAAgZnm9Xs2YMUM9evRQw4YNddlll+mqq65S37599cUXX+Rafs6cOapatapeffVVSdKOHTtUtWpVVa1aVatXr45adu/evXrttdfUvXt3XXHFFbrssstUt25dXX/99RoyZIi2bNlyUl/LW2+9Jb/fL0l68MEH5XK5jrrOLbfcoqSkJFWoUEGZmZl5LrNt2zY999xzuv7661W7dm0lJyerTZs2ev755/XXX3/luc6YMWMi70sgEMhzmdWrV0eWWblyZdS8lJQUVa1aVbNmzZLP59OECRPUoUMHJScnq06dOurataveeeedXNvu0aOHqlatqh07dkiSXn31VVWtWlUpKSlHfS8AAACAsxVdqwEAAACISVu2bNG9996rTZs2RU3ftWuXFi9erMWLF+v666/X8OHDj3k8nS+++EIPPPCAMjIyoqb7/X6lpaXp999/16xZs/Tqq6+qadOmJ/xaQqGQFi9eLEkqV66cmjVrVqj1HA6HlixZkm+XarNmzdKQIUPk9Xqjpm/atEmbNm3SzJkz9dxzz6lt27Yn9gLycfDgQXXp0kUbN26Mmr5+/XqtX79eS5Ys0YQJE2S1Wk/J8wMAAABnA1rkAAAAAIg5+/btU69evbRp0ybZ7Xb16dNHCxcu1OrVqzVz5ky1bt1akrRw4UI9+eSTkfXatWuntWvX6u6775YkVahQQWvXrtXatWtVr149SVJqaqr69eunjIwMXXjhhRo5cqSWLFmiVatWafbs2brttttks9nk9Xo1aNAgmaZ5wq9n8+bN2rt3r6Rwl2nHIr8QZ/HixXr66afl9Xp1/vnn6+WXX9by5cu1fPlyvfTSSzrvvPPk9Xr16KOP5tl66WQYM2aMfv31V91xxx2aP3++vv76a02ePFnVq1eXJH311Vf64IMPIstPnDhRa9euVYUKFSRJd999t9auXasFCxackvIBAAAAZwJa5AAAAACIORMmTND27dslSf/73/909dVXR+YlJycrOTlZQ4YM0bRp07RgwQK1b99ezZo1k81mk81mk91ulyQZhpFrHJpp06YpMzNTdrtdkyZNUsWKFSPzSpYsqcsuu0yGYWjKlClKTU3V77//rsqVK5/Q6/nzzz8j/69UqdIJbUuSfD6fnnvuOZmmqQsuuEDvvvuukpKSIvPbtm2rJk2aqEuXLtq+fbsGDhyoTz/9VA6H44SfO7vMzEwNGDBAPXr0iEx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",
       "text/plain": [
        "<Figure size 2000x1000 with 1 Axes>"
       ]
@@ -9416,12 +9542,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 351,
+   "execution_count": 503,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 1500x500 with 1 Axes>"
       ]
@@ -9454,14 +9580,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "# Geographical plot to show number of respondents in each country in 2019"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 352,
+   "execution_count": 504,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -9472,7 +9600,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 353,
+   "execution_count": 505,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -9485,7 +9613,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 354,
+   "execution_count": 506,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -9495,7 +9623,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 355,
+   "execution_count": 507,
    "metadata": {},
    "outputs": [
     {
@@ -9508,70 +9636,13 @@
        "        require.undef(\"plotly\");\n",
        "        define('plotly', function(require, exports, module) {\n",
        "            /**\n",
-       "* plotly.js v2.12.1\n",
-       "* Copyright 2012-2022, Plotly, Inc.\n",
+       "* plotly.js v2.32.0\n",
+       "* Copyright 2012-2024, Plotly, Inc.\n",
        "* All rights reserved.\n",
        "* Licensed under the MIT license\n",
        "*/\n",
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-       " */\n",
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t[0]=s*(h*v-p*g)-f*(l*v-c*g)+m*(l*p-c*h),t[1]=-(n*(h*v-p*g)-f*(i*v-a*g)+m*(i*p-a*h)),t[2]=n*(l*v-c*g)-s*(i*v-a*g)+m*(i*c-a*l),t[3]=-(n*(l*p-c*h)-s*(i*p-a*h)+f*(i*c-a*l)),t[4]=-(o*(h*v-p*g)-u*(l*v-c*g)+d*(l*p-c*h)),t[5]=r*(h*v-p*g)-u*(i*v-a*g)+d*(i*p-a*h),t[6]=-(r*(l*v-c*g)-o*(i*v-a*g)+d*(i*c-a*l)),t[7]=r*(l*p-c*h)-o*(i*p-a*h)+u*(i*c-a*l),t[8]=o*(f*v-p*m)-u*(s*v-c*m)+d*(s*p-c*f),t[9]=-(r*(f*v-p*m)-u*(n*v-a*m)+d*(n*p-a*f)),t[10]=r*(s*v-c*m)-o*(n*v-a*m)+d*(n*c-a*s),t[11]=-(r*(s*p-c*f)-o*(n*p-a*f)+u*(n*c-a*s)),t[12]=-(o*(f*g-h*m)-u*(s*g-l*m)+d*(s*h-l*f)),t[13]=r*(f*g-h*m)-u*(n*g-i*m)+d*(n*h-i*f),t[14]=-(r*(s*g-l*m)-o*(n*g-i*m)+d*(n*l-i*s)),t[15]=r*(s*h-l*f)-o*(n*h-i*f)+u*(n*l-i*s),t}},{}],196:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return 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t[0]=1-(p+m),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+m),t[6]=d+g,t[7]=0,t[8]=h+v,t[9]=d-g,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],203:[function(t,e,r){e.exports=function(t,e){return t[0]=e[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=e[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=e[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],204:[function(t,e,r){e.exports=function(t,e){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]=e[0],t[13]=e[1],t[14]=e[2],t[15]=1,t}},{}],205:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=n,t[6]=r,t[7]=0,t[8]=0,t[9]=-r,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],206:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return 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n(t);f=m-_,h=g-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=h*s-p*o,c=p*a-f*s,u=f*o-h*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*m+o*g+s*v),t[13]=-(l*m+c*g+u*v),t[14]=-(f*m+h*g+p*v),t[15]=1,t}},{\"./identity\":209}],213:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],m=e[12],g=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*m,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*m,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*m,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*m,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],214:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],215:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],216:[function(t,e,r){e.exports=function(t,e,r,n){var i=Math.tan(e.upDegrees*Math.PI/180),a=Math.tan(e.downDegrees*Math.PI/180),o=Math.tan(e.leftDegrees*Math.PI/180),s=Math.tan(e.rightDegrees*Math.PI/180),l=2/(o+s),c=2/(i+a);return t[0]=l,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=c,t[6]=0,t[7]=0,t[8]=-(o-s)*l*.5,t[9]=(i-a)*c*.5,t[10]=n/(r-n),t[11]=-1,t[12]=0,t[13]=0,t[14]=n*r/(r-n),t[15]=0,t}},{}],217:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],m=e[8],g=e[9],v=e[10],y=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+m*_,t[1]=l*x+h*b+g*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+m*k,t[5]=l*w+h*T+g*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*A+f*M+m*S,t[9]=l*A+h*M+g*S,t[10]=c*A+p*M+v*S,t[11]=u*A+d*M+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],218:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],219:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],220:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],221:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],222:[function(t,e,r){e.exports=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"}},{}],223:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,m=r[0],g=r[1],v=r[2];e===t?(t[12]=e[0]*m+e[4]*g+e[8]*v+e[12],t[13]=e[1]*m+e[5]*g+e[9]*v+e[13],t[14]=e[2]*m+e[6]*g+e[10]*v+e[14],t[15]=e[3]*m+e[7]*g+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*m+s*g+f*v+e[12],t[13]=i*m+l*g+h*v+e[13],t[14]=a*m+c*g+p*v+e[14],t[15]=o*m+u*g+d*v+e[15]);return t}},{}],224:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],225:[function(t,e,r){\"use strict\";var n=t(\"css-font\"),i=t(\"pick-by-alias\"),a=t(\"regl\"),o=t(\"gl-util/context\"),s=t(\"es6-weak-map\"),l=t(\"color-normalize\"),c=t(\"font-atlas\"),u=t(\"typedarray-pool\"),f=t(\"parse-rect\"),h=t(\"is-plain-obj\"),p=t(\"parse-unit\"),d=t(\"to-px\"),m=t(\"detect-kerning\"),g=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||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 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\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ vec2(positionOffset.x, -positionOffset.y)))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=f(t.viewport),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var i=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&i==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[i],e.font[r]))){var c=t.family.join(\", \"),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:i,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:v(c,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:u.join(\" \")})},T.fonts[i]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),h=0;h<s.length;h++)s[h]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);g(t.kerning,m(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),A=0,M=0;A<this.counts.length;A++){var S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var L=0;L<S;L++)k[M++]=t.position[A][0],k[M++]=t.position[A][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),u.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var C=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var I=0,O=0;I<this.counts.length;I++){for(var z=this.counts[I],D=this.font[I]||this.font[0],R=this.fontAtlas[I]||this.fontAtlas[0],F=0;F<z;F++){var B=this.text.charAt(O),N=this.text.charAt(O-1);if(C[O]=R.ids[B],P[2*O]=D.width[B],F){var j=P[2*O-2],U=P[2*O],V=P[2*O-1]+.5*j+.5*U;if(this.kerning){var H=D.kerning[N+B];H&&(V+=.001*H)}P[2*O+1]=V}else P[2*O+1]=.5*P[2*O];O++}this.textWidth.push(P.length?.5*P[2*O-2]+P[2*O-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:P,type:\"float\",usage:\"stream\"}),u.freeUint8(C),u.freeFloat(P),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],i=n.step,a=Math.floor(T.maxAtlasSize/i),o=Math.min(a,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*i),u=x(s*i);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[i,i]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,i+=\"number\"==typeof t?t-n.baseline:-n[t],i*=-1}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var q;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;q=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)q.set(l(Y(W,W+4),\"uint8\"),W)}else{var X=t.color.length;q=u.mallocUint8(4*X);for(var Z=0;Z<X;Z++)q.set(l(t.color[Z]||0,\"uint8\"),4*Z)}this.color=q}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var 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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 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r=e.parse(t[1],1,Bt);if(!r)return null;var n=[],i=null;e.expectedType&&\"value\"!==e.expectedType.kind&&(i=e.expectedType);for(var a=1;a<t.length;a+=2){var o=1===a?-1/0:t[a],s=t[a+1],l=a,c=a+1;if(\"number\"!=typeof o)return e.error('Input/output pairs for \"step\" expressions must be defined using literal numeric values (not computed expressions) for the input values.',l);if(n.length&&n[n.length-1][0]>=o)return e.error('Input/output pairs for \"step\" expressions must be arranged with input values in strictly ascending order.',l);var u=e.parse(s,c,i);if(!u)return null;i=i||u.type,n.push([o,u])}return new He(i,r,n)},He.prototype.evaluate=function(t){var e=this.labels,r=this.outputs;if(1===e.length)return r[0].evaluate(t);var n=this.input.evaluate(t);if(n<=e[0])return r[0].evaluate(t);var i=e.length;return n>=e[i-1]?r[i-1].evaluate(t):r[Ve(e,n)].evaluate(t)},He.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},He.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},He.prototype.serialize=function(){for(var t=[\"step\",this.input.serialize()],e=0;e<this.labels.length;e++)e>0&&t.push(this.labels[e]),t.push(this.outputs[e].serialize());return t};var Ge=Object.freeze({__proto__:null,number:qe,color:function(t,e,r){return new te(qe(t.r,e.r,r),qe(t.g,e.g,r),qe(t.b,e.b,r),qe(t.a,e.a,r))},array:function(t,e,r){return t.map((function(t,n){return qe(t,e[n],r)}))}}),Ye=6/29,We=3*Ye*Ye,Xe=Math.PI/180,Ze=180/Math.PI;function Je(t){return t>.008856451679035631?Math.pow(t,1/3):t/We+4/29}function Ke(t){return t>Ye?t*t*t:We*(t-4/29)}function Qe(t){return 255*(t<=.0031308?12.92*t:1.055*Math.pow(t,1/2.4)-.055)}function $e(t){return(t/=255)<=.04045?t/12.92:Math.pow((t+.055)/1.055,2.4)}function tr(t){var e=$e(t.r),r=$e(t.g),n=$e(t.b),i=Je((.4124564*e+.3575761*r+.1804375*n)/.95047),a=Je((.2126729*e+.7151522*r+.072175*n)/1);return{l:116*a-16,a:500*(i-a),b:200*(a-Je((.0193339*e+.119192*r+.9503041*n)/1.08883)),alpha:t.a}}function er(t){var e=(t.l+16)/116,r=isNaN(t.a)?e:e+t.a/500,n=isNaN(t.b)?e:e-t.b/200;return e=1*Ke(e),r=.95047*Ke(r),n=1.08883*Ke(n),new te(Qe(3.2404542*r-1.5371385*e-.4985314*n),Qe(-.969266*r+1.8760108*e+.041556*n),Qe(.0556434*r-.2040259*e+1.0572252*n),t.alpha)}function rr(t,e,r){var n=e-t;return t+r*(n>180||n<-180?n-360*Math.round(n/360):n)}var nr={forward:tr,reverse:er,interpolate:function(t,e,r){return{l:qe(t.l,e.l,r),a:qe(t.a,e.a,r),b:qe(t.b,e.b,r),alpha:qe(t.alpha,e.alpha,r)}}},ir={forward:function(t){var e=tr(t),r=e.l,n=e.a,i=e.b,a=Math.atan2(i,n)*Ze;return{h:a<0?a+360:a,c:Math.sqrt(n*n+i*i),l:r,alpha:t.a}},reverse:function(t){var e=t.h*Xe,r=t.c;return er({l:t.l,a:Math.cos(e)*r,b:Math.sin(e)*r,alpha:t.alpha})},interpolate:function(t,e,r){return{h:rr(t.h,e.h,r),c:qe(t.c,e.c,r),l:qe(t.l,e.l,r),alpha:qe(t.alpha,e.alpha,r)}}},ar=Object.freeze({__proto__:null,lab:nr,hcl:ir}),or=function(t,e,r,n,i){this.type=t,this.operator=e,this.interpolation=r,this.input=n,this.labels=[],this.outputs=[];for(var a=0,o=i;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1];this.labels.push(l),this.outputs.push(c)}};function sr(t,e,r,n){var i=n-r,a=t-r;return 0===i?0:1===e?a/i:(Math.pow(e,a)-1)/(Math.pow(e,i)-1)}or.interpolationFactor=function(t,e,n,i){var a=0;if(\"exponential\"===t.name)a=sr(e,t.base,n,i);else if(\"linear\"===t.name)a=sr(e,1,n,i);else if(\"cubic-bezier\"===t.name){var o=t.controlPoints;a=new r(o[0],o[1],o[2],o[3]).solve(sr(e,1,n,i))}return a},or.parse=function(t,e){var r=t[0],n=t[1],i=t[2],a=t.slice(3);if(!Array.isArray(n)||0===n.length)return e.error(\"Expected an interpolation type expression.\",1);if(\"linear\"===n[0])n={name:\"linear\"};else if(\"exponential\"===n[0]){var o=n[1];if(\"number\"!=typeof o)return e.error(\"Exponential interpolation requires a numeric base.\",1,1);n={name:\"exponential\",base:o}}else{if(\"cubic-bezier\"!==n[0])return e.error(\"Unknown interpolation type \"+String(n[0]),1,0);var s=n.slice(1);if(4!==s.length||s.some((function(t){return\"number\"!=typeof t||t<0||t>1})))return e.error(\"Cubic bezier interpolation requires four numeric arguments with values between 0 and 1.\",1);n={name:\"cubic-bezier\",controlPoints:s}}if(t.length-1<4)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if((t.length-1)%2!=0)return e.error(\"Expected an even number of arguments.\");if(!(i=e.parse(i,2,Bt)))return null;var l=[],c=null;\"interpolate-hcl\"===r||\"interpolate-lab\"===r?c=Ut:e.expectedType&&\"value\"!==e.expectedType.kind&&(c=e.expectedType);for(var u=0;u<a.length;u+=2){var f=a[u],h=a[u+1],p=u+3,d=u+4;if(\"number\"!=typeof f)return e.error('Input/output pairs for 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a=Ve(e,n),o=e[a],s=e[a+1],l=or.interpolationFactor(this.interpolation,n,o,s),c=r[a].evaluate(t),u=r[a+1].evaluate(t);return\"interpolate\"===this.operator?Ge[this.type.kind.toLowerCase()](c,u,l):\"interpolate-hcl\"===this.operator?ir.reverse(ir.interpolate(ir.forward(c),ir.forward(u),l)):nr.reverse(nr.interpolate(nr.forward(c),nr.forward(u),l))},or.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},or.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},or.prototype.serialize=function(){var t;t=\"linear\"===this.interpolation.name?[\"linear\"]:\"exponential\"===this.interpolation.name?1===this.interpolation.base?[\"linear\"]:[\"exponential\",this.interpolation.base]:[\"cubic-bezier\"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var lr=function(t,e){this.type=t,this.args=e};lr.parse=function(t,e){if(t.length<2)return e.error(\"Expectected at least one argument.\");var r=null,n=e.expectedType;n&&\"value\"!==n.kind&&(r=n);for(var i=[],a=0,o=t.slice(1);a<o.length;a+=1){var s=o[a],l=e.parse(s,1+i.length,r,void 0,{typeAnnotation:\"omit\"});if(!l)return null;r=r||l.type,i.push(l)}var c=n&&i.some((function(t){return Jt(n,t.type)}));return new lr(c?Ht:r,i)},lr.prototype.evaluate=function(t){for(var e,r=null,n=0,i=0,a=this.args;i<a.length;i+=1){if(n++,(r=a[i].evaluate(t))&&r instanceof ie&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null!==r)break}return r},lr.prototype.eachChild=function(t){this.args.forEach(t)},lr.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},lr.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var cr=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};cr.prototype.evaluate=function(t){return this.result.evaluate(t)},cr.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1){t(r[e][1])}t(this.result)},cr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found \"+(t.length-1)+\" instead.\");for(var r=[],n=1;n<t.length-1;n+=2){var i=t[n];if(\"string\"!=typeof i)return e.error(\"Expected string, but found \"+typeof i+\" instead.\",n);if(/[^a-zA-Z0-9_]/.test(i))return e.error(\"Variable names must contain only alphanumeric characters or '_'.\",n);var a=e.parse(t[n+1],n+1);if(!a)return null;r.push([i,a])}var o=e.parse(t[t.length-1],t.length-1,e.expectedType,r);return o?new cr(r,o):null},cr.prototype.outputDefined=function(){return this.result.outputDefined()},cr.prototype.serialize=function(){for(var t=[\"let\"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t.push(i,a.serialize())}return t.push(this.result.serialize()),t};var ur=function(t,e,r){this.type=t,this.index=e,this.input=r};ur.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Bt),n=e.parse(t[2],2,Wt(e.expectedType||Ht));if(!r||!n)return null;var i=n.type;return new ur(i.itemType,r,n)},ur.prototype.evaluate=function(t){var e=this.index.evaluate(t),r=this.input.evaluate(t);if(e<0)throw new ue(\"Array index out of bounds: \"+e+\" < 0.\");if(e>=r.length)throw new ue(\"Array index out of bounds: \"+e+\" > \"+(r.length-1)+\".\");if(e!==Math.floor(e))throw new ue(\"Array index must be an integer, but found \"+e+\" instead.\");return r[e]},ur.prototype.eachChild=function(t){t(this.index),t(this.input)},ur.prototype.outputDefined=function(){return!1},ur.prototype.serialize=function(){return[\"at\",this.index.serialize(),this.input.serialize()]};var fr=function(t,e){this.type=jt,this.needle=t,this.haystack=e};fr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Ht),n=e.parse(t[2],2,Ht);return r&&n?Kt(r.type,[jt,Nt,Bt,Ft,Ht])?new fr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(r.type)+\" instead\"):null},fr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!Qt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ue(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Xt(se(r))+\" instead.\");return r.indexOf(e)>=0},fr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},fr.prototype.outputDefined=function(){return!0},fr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var hr=function(t,e,r){this.type=Bt,this.needle=t,this.haystack=e,this.fromIndex=r};hr.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Ht),n=e.parse(t[2],2,Ht);if(!r||!n)return null;if(!Kt(r.type,[jt,Nt,Bt,Ft,Ht]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Bt);return i?new hr(r,n,i):null}return new hr(r,n)},hr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!Qt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ue(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Xt(se(r))+\" instead.\");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},hr.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},hr.prototype.outputDefined=function(){return!1},hr.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return[\"index-of\",this.needle.serialize(),this.haystack.serialize(),t]}return[\"index-of\",this.needle.serialize(),this.haystack.serialize()]};var pr=function(t,e,r,n,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a};pr.parse=function(t,e){if(t.length<5)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=1)return e.error(\"Expected an even number of 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m?\"value\"!==d.type.kind&&e.concat(1).checkSubtype(r,d.type)?null:new pr(r,n,d,i,a,m):null},pr.prototype.evaluate=function(t){var e=this.input.evaluate(t);return(se(e)===this.inputType&&this.outputs[this.cases[e]]||this.otherwise).evaluate(t)},pr.prototype.eachChild=function(t){t(this.input),this.outputs.forEach(t),t(this.otherwise)},pr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))&&this.otherwise.outputDefined()},pr.prototype.serialize=function(){for(var t=this,e=[\"match\",this.input.serialize()],r=[],n={},i=0,a=Object.keys(this.cases).sort();i<a.length;i+=1){var o=a[i];void 0===(f=n[this.cases[o]])?(n[this.cases[o]]=r.length,r.push([this.cases[o],[o]])):r[f][1].push(o)}for(var s=function(e){return\"number\"===t.inputType.kind?Number(e):e},l=0,c=r;l<c.length;l+=1){var u=c[l],f=u[0],h=u[1];1===h.length?e.push(s(h[0])):e.push(h.map(s)),e.push(this.outputs[outputIndex$1].serialize())}return e.push(this.otherwise.serialize()),e};var dr=function(t,e,r){this.type=t,this.branches=e,this.otherwise=r};dr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=0)return e.error(\"Expected an odd number of arguments.\");var r;e.expectedType&&\"value\"!==e.expectedType.kind&&(r=e.expectedType);for(var n=[],i=1;i<t.length-1;i+=2){var a=e.parse(t[i],i,jt);if(!a)return null;var o=e.parse(t[i+1],i+1,r);if(!o)return null;n.push([a,o]),r=r||o.type}var s=e.parse(t[t.length-1],t.length-1,r);return s?new dr(r,n,s):null},dr.prototype.evaluate=function(t){for(var e=0,r=this.branches;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];if(i.evaluate(t))return a.evaluate(t)}return this.otherwise.evaluate(t)},dr.prototype.eachChild=function(t){for(var e=0,r=this.branches;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t(i),t(a)}t(this.otherwise)},dr.prototype.outputDefined=function(){return this.branches.every((function(t){t[0];return 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or?a.interpolation:void 0;return Ir(new Zr(n?\"camera\":\"composite\",t.value,a.labels,o))}Zr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},Zr.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)},Zr.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?or.interpolationFactor(this.interpolationType,t,e,r):0};var Kr=function(t,e){this._parameters=t,this._specification=e,It(this,function t(e,r){var n,i,a,o=\"color\"===r.type,s=e.stops&&\"object\"==typeof e.stops[0][0],l=s||void 0!==e.property,c=s||!l,u=e.type||(Rr(r)?\"exponential\":\"interval\");if(o&&((e=It({},e)).stops&&(e.stops=e.stops.map((function(t){return[t[0],te.parse(t[1])]}))),e.default?e.default=te.parse(e.default):e.default=te.parse(r.default)),e.colorSpace&&\"rgb\"!==e.colorSpace&&!ar[e.colorSpace])throw new Error(\"Unknown color space: 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n&&r<n.minimum?[new Ct(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Ct(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function en(t){var e,r,n,i=t.valueSpec,a=Ot(t.value.type),o={},s=\"categorical\"!==a&&void 0===t.value.property,l=!s,c=\"array\"===Fr(t.value.stops)&&\"array\"===Fr(t.value.stops[0])&&\"object\"===Fr(t.value.stops[0][0]),u=Qr({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===a)return[new Ct(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;e=e.concat($r({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:f})),\"array\"===Fr(r)&&0===r.length&&e.push(new Ct(t.key,r,\"array must have at least one stop\"));return e},default:function(t){return kn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===a&&s&&u.push(new Ct(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||u.push(new Ct(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===a&&t.valueSpec.expression&&!Rr(t.valueSpec)&&u.push(new Ct(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!zr(t.valueSpec)?u.push(new Ct(t.key,t.value,\"property functions not supported\")):s&&!Dr(t.valueSpec)&&u.push(new Ct(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==a&&!c||void 0!==t.value.property||u.push(new Ct(t.key,t.value,'\"property\" property is required')),u;function f(t){var e=[],a=t.value,s=t.key;if(\"array\"!==Fr(a))return[new Ct(s,a,\"array expected, \"+Fr(a)+\" found\")];if(2!==a.length)return[new Ct(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(c){if(\"object\"!==Fr(a[0]))return[new Ct(s,a,\"object expected, \"+Fr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new Ct(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new Ct(s,a,\"object stop key must have value\")];if(n&&n>Ot(a[0].zoom))return[new Ct(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Ot(a[0].zoom)!==n&&(n=Ot(a[0].zoom),r=void 0,o={}),e=e.concat(Qr({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:tn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return Yr(zt(a[1]))?e.concat([new Ct(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(kn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=Fr(t.value),l=Ot(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new Ct(t.key,c,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new Ct(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var u=\"number expected, \"+s+\" found\";return zr(i)&&void 0===a&&(u+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Ct(t.key,c,u)]}return\"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==r&&l<r?[new Ct(t.key,c,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new Ct(t.key,c,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Ct(t.key,c,\"integer expected, found \"+l)]}}function rn(t){var e=(\"property\"===t.expressionContext?Jr:Wr)(zt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new Ct(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new Ct(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!Be(r))return[new Ct(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!Be(r))return[new Ct(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Ne(r,[\"zoom\",\"feature-state\"]))return[new Ct(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!Fe(r))return[new Ct(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function nn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ot(r))&&i.push(new Ct(e,r,\"expected one of [\"+n.values.join(\", \")+\"], 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on={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function sn(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};an(t)||(t=cn(t));var e=Wr(t,on);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:function t(e){if(!Array.isArray(e))return!1;if(\"within\"===e[0])return!0;for(var r=1;r<e.length;r++)if(t(e[r]))return!0;return!1}(t)}}function ln(t,e){return t<e?-1:t>e?1:0}function cn(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?un(t[1],t[2],\"==\"):\"!=\"===r?pn(un(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?un(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(cn))):\"all\"===r?[\"all\"].concat(t.slice(1).map(cn)):\"none\"===r?[\"all\"].concat(t.slice(1).map(cn).map(pn)):\"in\"===r?fn(t[1],t.slice(2)):\"!in\"===r?pn(fn(t[1],t.slice(2))):\"has\"===r?hn(t[1]):\"!has\"===r?pn(hn(t[1])):\"within\"!==r||t}function un(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function fn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(ln)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function hn(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function pn(t){return[\"!\",t]}function dn(t){return an(zt(t.value))?rn(It({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):function t(e){var r=e.value,n=e.key;if(\"array\"!==Fr(r))return[new Ct(n,r,\"array expected, \"+Fr(r)+\" found\")];var i,a=e.styleSpec,o=[];if(r.length<1)return[new Ct(n,r,\"filter array must have at least 1 element\")];switch(o=o.concat(nn({key:n+\"[0]\",value:r[0],valueSpec:a.filter_operator,style:e.style,styleSpec:e.styleSpec})),Ot(r[0])){case\"<\":case\"<=\":case\">\":case\">=\":r.length>=2&&\"$type\"===Ot(r[1])&&o.push(new Ct(n,r,'\"$type\" cannot be use with operator \"'+r[0]+'\"'));case\"==\":case\"!=\":3!==r.length&&o.push(new Ct(n,r,'filter array for operator \"'+r[0]+'\" must have 3 elements'));case\"in\":case\"!in\":r.length>=2&&\"string\"!==(i=Fr(r[1]))&&o.push(new Ct(n+\"[1]\",r[1],\"string expected, \"+i+\" 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r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return kn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var c,u=t.valueSpec||s[o];if(!u)return[new Ct(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Fr(a)&&zr(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(a)))return[new Ct(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(c[1])+\" }`.\")];var f=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&f.push(new Ct(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&Br(zt(a))&&\"identity\"===Ot(a.type)&&f.push(new Ct(r,a,'\"text-font\" does not support identity 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null!=hi.applyArabicShaping&&null!=hi.processBidirectionalText&&null!=hi.processStyledBidirectionalText},getPluginURL:function(){return oi}},pi=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 Gn,this.transition={})};pi.prototype.isSupportedScript=function(t){return function(t,e){for(var r=0,n=t;r<n.length;r+=1){if(!Qn(n[r].charCodeAt(0),e))return!1}return!0}(t,hi.isLoaded())},pi.prototype.crossFadingFactor=function(){return 0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},pi.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 di=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(Br(t))return new Kr(t,e);if(Yr(t)){var r=Jr(t,e);if(\"error\"===r.result)throw new Error(r.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return r.value}var n=t;return\"string\"==typeof t&&\"color\"===e.type&&(n=te.parse(t)),{kind:\"constant\",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};di.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},di.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var mi=function(t){this.property=t,this.value=new di(t,void 0)};mi.prototype.transitioned=function(t,e){return new vi(this.property,this.value,e,u({},t.transition,this.transition),t.now)},mi.prototype.untransitioned=function(){return new vi(this.property,this.value,null,{},0)};var gi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};gi.prototype.getValue=function(t){return x(this._values[t].value.value)},gi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new mi(this._values[t].property)),this._values[t].value=new di(this._values[t].property,null===e?void 0:x(e))},gi.prototype.getTransition=function(t){return x(this._values[t].transition)},gi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new mi(this._values[t].property)),this._values[t].transition=x(e)||void 0},gi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},gi.prototype.transitioned=function(t,e){for(var r=new yi(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},gi.prototype.untransitioned=function(){for(var t=new yi(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var vi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};vi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var yi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};yi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},yi.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var xi=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};xi.prototype.getValue=function(t){return x(this._values[t].value)},xi.prototype.setValue=function(t,e){this._values[t]=new di(this._values[t].property,null===e?void 0:x(e))},xi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},xi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var bi=function(t,e,r){this.property=t,this.value=e,this.parameters=r};bi.prototype.isConstant=function(){return\"constant\"===this.value.kind},bi.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},bi.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var _i=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};_i.prototype.get=function(t){return this._values[t]};var wi=function(t){this.specification=t};wi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},wi.prototype.interpolate=function(t,e,r){var n=Ge[this.specification.type];return n?n(t,e,r):t};var Ti=function(t,e){this.specification=t,this.overrides=e};Ti.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new bi(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new bi(this,t.expression,e)},Ti.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new bi(this,{kind:\"constant\",value:void 0},t.parameters);var n=Ge[this.specification.type];return n?new bi(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Ti.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new bi(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new bi(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new bi(this,{kind:\"constant\",value:s},e)}return new bi(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Ti),Ai=function(t){this.specification=t};Ai.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new pi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new pi(Math.floor(e.zoom),e)),t.expression.evaluate(new pi(Math.floor(e.zoom+1),e)),e)}},Ai.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Ai.prototype.interpolate=function(t){return t};var Mi=function(t){this.specification=t};Mi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},Mi.prototype.interpolate=function(){return!1};var Si=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new di(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new mi(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};Nn(\"DataDrivenProperty\",Ti),Nn(\"DataConstantProperty\",wi),Nn(\"CrossFadedDataDrivenProperty\",ki),Nn(\"CrossFadedProperty\",Ai),Nn(\"ColorRampProperty\",Mi);var Ei=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\"custom\"!==e.type&&(e=e,this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new xi(r.layout)),r.paint)){for(var n in this._transitionablePaint=new gi(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new _i(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate(In,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return g(t,\"-transition\")?this._transitionablePaint.getTransition(t.slice(0,-\"-transition\".length)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Pn,n,t,e,r))return!1}if(g(t,\"-transition\"))return this._transitionablePaint.setTransition(t.slice(0,-\"-transition\".length),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||(!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility)},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),y(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&On(this,t.call(Ln,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Lt,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof bi&&zr(e.property.specification)&&((\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent))return!0}return!1},e}(Et),Li={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Ci=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Pi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ii(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Li[i].BYTES_PER_ELEMENT),o=r=Oi(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:Oi(r,Math.max(n,e)),alignment:e}}function Oi(t,e){return Math.ceil(t/e)*e}Pi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Pi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Pi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Pi.prototype.clear=function(){this.length=0},Pi.prototype.resize=function(t){this.reserve(t),this.length=t},Pi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Pi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Pi);zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2i4\",zi);var Di=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Pi);Di.prototype.bytesPerElement=8,Nn(\"StructArrayLayout4i8\",Di);var Ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Ri.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i4i12\",Ri);var Fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Pi);Fi.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2i4ub8\",Fi);var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=c,this.uint8[h+17]=u,t},e}(Pi);Bi.prototype.bytesPerElement=18,Nn(\"StructArrayLayout8ui2ub18\",Bi);var Ni=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,c,u,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Pi);Ni.prototype.bytesPerElement=24,Nn(\"StructArrayLayout4i4ui4i24\",Ni);var ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Pi);ji.prototype.bytesPerElement=12,Nn(\"StructArrayLayout3f12\",ji);var Ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Pi);Ui.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1ul4\",Ui);var Vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,f=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[f+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(Pi);Vi.prototype.bytesPerElement=20,Nn(\"StructArrayLayout6i1ul2ui20\",Vi);var Hi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Hi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i2i2i12\",Hi);var qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Pi);qi.prototype.bytesPerElement=16,Nn(\"StructArrayLayout2f1f2i16\",qi);var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Pi);Gi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2ub2f12\",Gi);var Yi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Pi);Yi.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3ui6\",Yi);var Wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v){var y=24*t,x=12*t,b=48*t;return this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=m,this.uint32[x+10]=g,this.int16[y+22]=v,t},e}(Pi);Wi.prototype.bytesPerElement=48,Nn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Wi);var Xi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=c,this.uint16[L+9]=u,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=m,this.uint16[L+15]=g,this.uint16[L+16]=v,this.uint16[L+17]=y,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Pi);Xi.prototype.bytesPerElement=68,Nn(\"StructArrayLayout8i15ui1ul4f68\",Xi);var Zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Pi);Zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1f4\",Zi);var Ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Pi);Ji.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3i6\",Ji);var Ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Pi);Ki.prototype.bytesPerElement=8,Nn(\"StructArrayLayout1ul2ui8\",Ki);var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Pi);Qi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2ui4\",Qi);var $i=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Pi);$i.prototype.bytesPerElement=2,Nn(\"StructArrayLayout1ui2\",$i);var ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Pi);ta.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2f8\",ta);var ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Pi);ea.prototype.bytesPerElement=16,Nn(\"StructArrayLayout4f16\",ea);var ra=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new i(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Ci);ra.prototype.size=20;var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ra(this,t)},e}(Vi);Nn(\"CollisionBoxArray\",na);var ia=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Ci);ia.prototype.size=48;var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ia(this,t)},e}(Wi);Nn(\"PlacedSymbolArray\",aa);var oa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return 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c=t.readVarint();n=7&c,a=c>>3}if(a--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new i(o,s));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},ws.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>c&&(c=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,c]},ws.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=ws.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];u(l=f);break;case 2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=ks(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}r&&i.push(r);return i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i])}1===l.length?l=l[0]:c=\"Multi\"+c;var h={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(h.id=this.id),h};var As=Ms;function Ms(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(Ss,this,e),this.length=this._features.length}function Ss(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){var e=null,r=t.readVarint()+t.pos;for(;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Es(t,e,r){if(3===t){var n=new As(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Ms.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new _s(this._pbf,e,this.extent,this._keys,this._values)};var Ls={VectorTile:function(t,e){this.layers=t.readFields(Es,{},e)},VectorTileFeature:_s,VectorTileLayer:As},Cs=Ls.VectorTileFeature.types,Ps=Math.pow(2,13);function Is(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*Ps)+o,i*Ps*2,a*Ps*2,Math.round(s))}var Os=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Ri,this.indexArray=new Yi,this.programConfigurations=new Ua(bs,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function zs(t,e){return t.x===e.x&&(t.x<0||t.x>8192)||t.y===e.y&&(t.y<0||t.y>8192)}function Ds(t){return t.every((function(t){return t.x<0}))||t.every((function(t){return t.x>8192}))||t.every((function(t){return t.y<0}))||t.every((function(t){return t.y>8192}))}Os.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=ds(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,c=a.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:u?Ya(o):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:c,index:l,geometry:u?f.geometry:Ya(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(ms(\"fill-extrusion\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,c,this.index,!0)}}},Os.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},Os.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Os.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Os.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Os.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,bs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Os.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Os.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=hs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,c=0,u=s;c<u.length;c+=1){l+=u[c].length}for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!Ds(d))for(var m=0,g=0;g<d.length;g++){var v=d[g];if(g>=1){var y=d[g-1];if(!zs(v,y)){f.vertexLength+4>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=v.sub(y)._perp()._unit(),b=y.dist(v);m+b>32768&&(m=0),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,m),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,m),m+=b,Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,m),Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,m);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===Cs[t.type]){for(var w=[],T=[],k=f.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];Is(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=Do(w,T),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(k+C[P],k+C[P+2],k+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},Nn(\"FillExtrusionBucket\",Os,{omit:[\"layers\",\"features\"]});var Rs={paint:new Si({\"fill-extrusion-opacity\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new ki(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},Fs=function(t){function e(e){t.call(this,e,Rs)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new Os(t)},e.prototype.queryRadius=function(){return so(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,o,s,l){var c=lo(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),u=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),f=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),h=function(t,e,r,n){for(var a=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,n,1];xo(c,c,e),a.push(new i(c[0]/c[3],c[1]/c[3]))}return a}(c,l,0,0),p=function(t,e,r,n){for(var a=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,m=0,g=t;m<g.length;m+=1){for(var v=g[m],y=[],x=[],b=0,_=v;b<_.length;b+=1){var w=_[b],T=w.x,k=w.y,A=n[0]*T+n[4]*k+n[12],M=n[1]*T+n[5]*k+n[13],S=n[2]*T+n[6]*k+n[14],E=n[3]*T+n[7]*k+n[15],L=S+c,C=E+u,P=A+f,I=M+h,O=S+p,z=E+d,D=new i((A+s)/C,(M+l)/C);D.z=L/C,y.push(D);var R=new i(P/z,I/z);R.z=O/z,x.push(R)}a.push(y),o.push(x)}return[a,o]}(n,f,u,l);return function(t,e,r){var n=1/0;Ka(r,e)&&(n=Ns(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],c=a[s+1],u=o[s],f=o[s+1],h=[l,c,f,u,l];Za(r,h)&&(n=Math.min(n,Ns(r,h)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Ei);function Bs(t,e){return t.x*e.x+t.y*e.y}function Ns(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),c=o.sub(i),u=Bs(s,s),f=Bs(s,l),h=Bs(l,l),p=Bs(c,s),d=Bs(c,l),m=u*h-f*f,g=(h*p-f*d)/m,v=(u*d-f*p)/m,y=1-g-v,x=i.z*y+r.z*g+a.z*v;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var js=Ii([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,Us=Ls.VectorTileFeature.types,Vs=Math.cos(Math.PI/180*37.5),Hs=Math.pow(2,14)/.5,qs=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new Fi,this.indexArray=new Yi,this.programConfigurations=new Ua(js,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};qs.prototype.populate=function(t,e,r){this.hasPattern=ds(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,c=s.id,u=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:c,properties:l.properties,geometry:h?Ya(l):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),p,r)){h||(p.geometry=Ya(l));var d=n?n.evaluate(p,{},r):void 0,m={id:c,properties:l.properties,type:l.type,sourceLayerIndex:f,index:u,geometry:p.geometry,patterns:{},sortKey:d};i.push(m)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,v=i;g<v.length;g+=1){var y=v[g],x=y,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=ms(\"line\",this.layers,y,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(y,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},qs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},qs.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},qs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},qs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},qs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,js),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},qs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},qs.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),c=a.get(\"line-round-limit\"),u=0,f=e;u<f.length;u+=1){var h=f[u];this.addLine(h,t,o,s,l,c)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},qs.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s=\"Polygon\"===Us[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var u,f=this.overscaling<=16?122880/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,m=void 0,g=void 0;this.e1=this.e2=-1,s&&(u=t[l-2],g=t[c].sub(u)._unit()._perp());for(var v=c;v<l;v++)if(!(d=v===l-1?s?t[c+1]:void 0:t[v+1])||!t[v].equals(d)){g&&(m=g),u&&(p=u),u=t[v],g=d?d.sub(u)._unit()._perp():m;var y=(m=m||g).add(g);0===y.x&&0===y.y||y._unit();var x=m.x*g.x+m.y*g.y,b=y.x*g.x+y.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<Vs&&p&&d,k=m.x*g.y-m.y*g.x>0;if(T&&v>c){var A=u.dist(p);if(A>2*f){var M=u.sub(u.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,m,0,0,h),p=M}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<a?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>i&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<i&&(E=\"miter\")),p&&this.updateDistance(p,u),\"miter\"===E)y._mult(_),this.addCurrentVertex(u,y,0,0,h);else if(\"flipbevel\"===E){if(_>100)y=g.mult(-1);else{var L=_*m.add(g).mag()/m.sub(g).mag();y._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(u,y,0,0,h),this.addCurrentVertex(u,y.mult(-1),0,0,h)}else if(\"bevel\"===E||\"fakeround\"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,I=k?0:C;if(p&&this.addCurrentVertex(u,m,P,I,h),\"fakeround\"===E)for(var O=Math.round(180*w/Math.PI/20),z=1;z<O;z++){var D=z/O;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(m)._mult(D)._add(m)._unit()._mult(k?-1:1);this.addHalfVertex(u,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(u,g,-P,-I,h)}else if(\"butt\"===E)this.addCurrentVertex(u,y,0,0,h);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(u,y,B,B,h)}else\"round\"===E&&(p&&(this.addCurrentVertex(u,m,0,0,h),this.addCurrentVertex(u,m,1,1,h,!0)),d&&(this.addCurrentVertex(u,g,-1,-1,h,!0),this.addCurrentVertex(u,g,0,0,h)));if(T&&v<l-1){var N=u.dist(d);if(N>2*f){var j=u.add(d.sub(u)._mult(f/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,g,0,0,h),u=j}}}}},qs.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,c,a,!0,-n,i),this.distance>Hs/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},qs.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,c=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&c)<<2,c>>6);var u=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,u),o.primitiveLength++),i?this.e2=u:this.e1=u},qs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Hs-1):this.distance},qs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Nn(\"LineBucket\",qs,{omit:[\"layers\",\"patternFeatures\"]});var Gs=new Si({\"line-cap\":new 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e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new pi(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=u({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Ti))(Ys.paint.properties[\"line-width\"].specification);Ws.useIntegerZoom=!0;var Xs=function(t){function e(e){t.call(this,e,Ys)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){\"line-gradient\"===t&&this._updateGradient()},e.prototype._updateGradient=function(){var 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o=t[a],s=[],l=0;l<o.length;l++){var c=o[l-1],u=o[l],f=o[l+1],h=0===l?n:u.sub(c)._unit()._perp(),p=l===o.length-1?n:f.sub(u)._unit()._perp(),d=h._add(p)._unit(),m=d.x*p.x+d.y*p.y;d._mult(1/m),s.push(d._mult(e)._add(u))}r.push(s)}return r}(n,u*s)),function(t,e,r){for(var n=0;n<e.length;n++){var i=e[n];if(t.length>=3)for(var a=0;a<i.length;a++)if(io(t,i[a]))return!0;if(Qa(t,i,r))return!0}return!1}(l,n,c)},e.prototype.isTileClipped=function(){return!0},e}(Ei);function Zs(t,e){return e>0?e+2*t:t}var 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nl=function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,c=l>>1,u=-7,f=r?i-1:0,h=r?-1:1,p=t[e+f];for(f+=h,a=p&(1<<-u)-1,p>>=-u,u+=s;u>0;a=256*a+t[e+f],f+=h,u-=8);for(o=a&(1<<-u)-1,a>>=-u,u+=n;u>0;o=256*o+t[e+f],f+=h,u-=8);if(0===a)a=1-c;else{if(a===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),a-=c}return(p?-1:1)*o*Math.pow(2,a-n)},il=function(t,e,r,n,i,a){var o,s,l,c=8*a-i-1,u=(1<<c)-1,f=u>>1,h=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:a-1,d=n?1:-1,m=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),(e+=o+f>=1?h/l:h*Math.pow(2,1-f))*l>=2&&(o++,l/=2),o+f>=u?(s=0,o=u):o+f>=1?(s=(e*l-1)*Math.pow(2,i),o+=f):(s=e*Math.pow(2,f-1)*Math.pow(2,i),o=0));i>=8;t[r+p]=255&s,p+=d,s/=256,i-=8);for(o=o<<i|s,c+=i;c>0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*m},al=ol;function ol(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new 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e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==ol.Bytes)return t.push(this.readFixed64());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==ol.Bytes)return t.push(this.readSFixed64());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===ol.Varint)for(;this.buf[this.pos++]>127;);else if(e===ol.Bytes)this.pos=this.readVarint()+this.pos;else if(e===ol.Fixed32)this.pos+=4;else{if(e!==ol.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return 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r=(7&t)<<4;if(e.buf[e.pos++]|=r|((t>>>=3)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;e.buf[e.pos++]=127&t}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&ul(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),il(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),il(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&ul(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,ol.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,fl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,hl,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,ml,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,pl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,dl,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,gl,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,vl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,yl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,xl,e)},writeBytesField:function(t,e){this.writeTag(t,ol.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,ol.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,ol.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,ol.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,ol.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,ol.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,ol.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,ol.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,ol.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,ol.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};function Tl(t,e,r){1===t&&r.readMessage(kl,e)}function kl(t,e,r){if(3===t){var n=r.readMessage(Al,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,c=n.top,u=n.advance;e.push({id:i,bitmap:new So({width:o+6,height:s+6},a),metrics:{width:o,height:s,left:l,top:c,advance:u}})}}function Al(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}function Ml(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort((function(t,e){return e.h-t.h}));for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,c=0,u=t;c<u.length;c+=1)for(var f=u[c],h=o.length-1;h>=0;h--){var p=o[h];if(!(f.w>p.w||f.h>p.h)){if(f.x=p.x,f.y=p.y,l=Math.max(l,f.y+f.h),s=Math.max(s,f.x+f.w),f.w===p.w&&f.h===p.h){var d=o.pop();h<o.length&&(o[h]=d)}else 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Eo({width:o||1,height:s||1});for(var c in t){var u=t[c],f=r[c].paddedRect;Eo.copy(u.data,l,{x:0,y:0},{x:f.x+1,y:f.y+1},u.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,m=d.x+1,g=d.y+1,v=p.data.width,y=p.data.height;Eo.copy(p.data,l,{x:0,y:0},{x:m,y:g},p.data),Eo.copy(p.data,l,{x:0,y:y-1},{x:m,y:g-1},{width:v,height:1}),Eo.copy(p.data,l,{x:0,y:0},{x:m,y:g+y},{width:v,height:1}),Eo.copy(p.data,l,{x:v-1,y:0},{x:m-1,y:g},{width:1,height:y}),Eo.copy(p.data,l,{x:0,y:0},{x:m+v,y:g},{width:1,height:y})}this.image=l,this.iconPositions=r,this.patternPositions=n};Ll.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2,h:i.data.height+2};r.push(a),e[n]=new Sl(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},Ll.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},Ll.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},Nn(\"ImagePosition\",Sl),Nn(\"ImageAtlas\",Ll);var Cl={horizontal:1,vertical:2,horizontalOnly:3};var Pl=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};Pl.forText=function(t,e){var r=new Pl;return r.scale=t||1,r.fontStack=e,r},Pl.forImage=function(t){var e=new Pl;return e.imageName=t,e};var Il=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function Ol(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m){var g,v=Il.fromFeature(t,i);f===Cl.vertical&&v.verticalizePunctuation();var y=hi.processBidirectionalText,x=hi.processStyledBidirectionalText;if(y&&1===v.sections.length){g=[];for(var b=0,_=y(v.toString(),jl(v,c,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new Il;T.text=w,T.sections=v.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);g.push(T)}}else if(x){g=[];for(var A=0,M=x(v.text,v.sectionIndex,jl(v,c,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new Il;E.text=S[0],E.sectionIndex=S[1],E.sections=v.sections,g.push(E)}}else g=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(v,jl(v,c,a,e,n,p,d));var L=[],C={positionedLines:L,text:v.toString(),top:u[1],bottom:u[1],left:u[0],right:u[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=0,p=-17,d=0,m=0,g=\"right\"===s?1:\"left\"===s?0:.5,v=0,y=0,x=i;y<x.length;y+=1){var b=x[y];b.trim();var _=b.getMaxScale(),w=24*(_-1),T={positionedGlyphs:[],lineOffset:0};t.positionedLines[v]=T;var k=T.positionedGlyphs,A=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,P=null,I=null,O=null,z=24,D=!(l===Cl.horizontal||!u&&!Zn(L)||u&&(zl[L]||(Y=L,Yn.Arabic(Y)||Yn[\"Arabic Supplement\"](Y)||Yn[\"Arabic Extended-A\"](Y)||Yn[\"Arabic Presentation Forms-A\"](Y)||Yn[\"Arabic Presentation Forms-B\"](Y))));if(S.imageName){var R=n[S.imageName];if(!R)continue;O=S.imageName,t.iconsInText=t.iconsInText||!0,I=R.paddedRect;var F=R.displaySize;S.scale=24*S.scale/f,P={width:F[0],height:F[1],left:1,top:-3,advance:D?F[1]:F[0]};var B=24-F[1]*S.scale;C=w+B,z=P.advance;var N=D?F[0]*S.scale-24*_:F[1]*S.scale-24*_;N>0&&N>A&&(A=N)}else{var j=r[S.fontStack],U=j&&j[L];if(U&&U.rect)I=U.rect,P=U.metrics;else{var V=e[S.fontStack],H=V&&V[L];if(!H)continue;P=H.metrics}C=24*(_-S.scale)}D?(t.verticalizable=!0,k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=z*S.scale+c):(k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=P.advance*S.scale+c)}if(0!==k.length){var q=h-c;d=Math.max(q,d),Vl(k,0,k.length-1,g,A)}h=0;var G=a*_+A;T.lineOffset=Math.max(A,w),p+=G,m=Math.max(G,m),++v}else p+=a,++v}var Y;var W=p- -17,X=Ul(o),Z=X.horizontalAlign,J=X.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var c=(e-r)*i,u=0;u=a!==o?-s*n- -17:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=h[f],d=0,m=p.positionedGlyphs;d<m.length;d+=1){var g=m[d];g.x+=c,g.y+=u}})(t.positionedLines,g,Z,J,d,m,a,W,i.length),t.top+=-J*W,t.bottom=t.top+W,t.left+=-Z*d,t.right=t.left+d}(C,e,r,n,g,o,s,l,f,c,h,m),!function(t){for(var e=0,r=t;e<r.length;e+=1){if(0!==r[e].positionedGlyphs.length)return!1}return!0}(L)&&C}Il.fromFeature=function(t,e){for(var r=new Il,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},Il.prototype.length=function(){return this.text.length},Il.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},Il.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},Il.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},Il.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;(!n||!Jn(n)||rl[t[r+1]])&&(!i||!Jn(i)||rl[t[r-1]])&&rl[t[r]]?e+=rl[t[r]]:e+=t[r]}return e}(this.text)},Il.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&zl[this.text.charCodeAt(e)];e++)t++;for(var 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e=this.data,r=this.compare,n=this.length>>1,i=e[t];t<n;){var a=1+(t<<1),o=e[a],s=a+1;if(s<this.length&&r(e[s],o)<0&&(a=s,o=e[s]),r(o,i)>=0)break;e[t]=o,t=a}e[t]=i};var pc=Number.POSITIVE_INFINITY;function dc(t,e){return e[1]!==pc?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case\"top-right\":case\"top-left\":case\"top\":i=r-7;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":i=7-r}switch(t){case\"top-right\":case\"bottom-right\":case\"right\":n=-e;break;case\"top-left\":case\"bottom-left\":case\"left\":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case\"top-right\":case\"top-left\":n=i-7;break;case\"bottom-right\":case\"bottom-left\":n=7-i;break;case\"bottom\":n=7-e;break;case\"top\":n=e-7}switch(t){case\"top-right\":case\"bottom-right\":r=-i;break;case\"top-left\":case\"bottom-left\":r=i;break;case\"left\":r=e;break;case\"right\":r=-e}return[r,n]}(t,e[0])}function mc(t){switch(t){case\"right\":case\"top-right\":case\"bottom-right\":return\"right\";case\"left\":case\"top-left\":case\"bottom-left\":return\"left\"}return\"center\"}function gc(t,e,r,n,a,o,s,l,c,u,f,h,p,d,m){var g=function(t,e,r,n,a,o,s,l){for(var c=n.layout.get(\"text-rotate\").evaluate(o,{})*Math.PI/180,u=[],f=0,h=e.positionedLines;f<h.length;f+=1)for(var p=h[f],d=0,m=p.positionedGlyphs;d<m.length;d+=1){var g=m[d];if(g.rect){var v=g.rect||{},y=4,x=!0,b=1,_=0,w=(a||l)&&g.vertical,T=g.metrics.advance*g.scale/2;if(l&&e.verticalizable){var k=24*(g.scale-1),A=(24-g.metrics.width*g.scale)/2;_=p.lineOffset/2-(g.imageName?-A:k)}if(g.imageName){var M=s[g.imageName];x=M.sdf,y=1/(b=M.pixelRatio)}var S=a?[g.x+T,g.y]:[0,0],E=a?[0,0]:[g.x+T+r[0],g.y+r[1]-_],L=[0,0];w&&(L=E,E=[0,0]);var C=(g.metrics.left-y)*g.scale-T+E[0],P=(-g.metrics.top-y)*g.scale+E[1],I=C+v.w*g.scale/b,O=P+v.h*g.scale/b,z=new i(C,P),D=new i(I,P),R=new i(C,O),F=new i(I,O);if(w){var B=new i(-T,T- -17),N=-Math.PI/2,j=12-T,U=g.imageName?j:0,V=new i(22-j,-U),H=new(Function.prototype.bind.apply(i,[null].concat(L)));z._rotateAround(N,B)._add(V)._add(H),D._rotateAround(N,B)._add(V)._add(H),R._rotateAround(N,B)._add(V)._add(H),F._rotateAround(N,B)._add(V)._add(H)}if(c){var q=Math.sin(c),G=Math.cos(c),Y=[G,-q,q,G];z._matMult(Y),D._matMult(Y),R._matMult(Y),F._matMult(Y)}var W=new i(0,0),X=new i(0,0);u.push({tl:z,tr:D,bl:R,br:F,tex:v,writingMode:e.writingMode,glyphOffset:S,sectionIndex:g.sectionIndex,isSDF:x,pixelOffsetTL:W,pixelOffsetBR:X,minFontScaleX:0,minFontScaleY:0})}}return u}(0,r,l,a,o,s,n,t.allowVerticalPlacement),v=t.textSizeData,y=null;\"source\"===v.kind?(y=[128*a.layout.get(\"text-size\").evaluate(s,{})])[0]>32640&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'):\"composite\"===v.kind&&((y=[128*d.compositeTextSizes[0].evaluate(s,{},m),128*d.compositeTextSizes[1].evaluate(s,{},m)])[0]>32640||y[1]>32640)&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'),t.addSymbols(t.text,g,y,l,o,s,u,e,c.lineStartIndex,c.lineLength,p,m);for(var x=0,b=f;x<b.length;x+=1){h[b[x]]=t.text.placedSymbolArray.length-1}return 4*g.length}function vc(t){for(var e in t)return t[e];return null}function yc(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var xc=Ls.VectorTileFeature.types,bc=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function _c(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=s?Math.min(32640,Math.round(s[0])):0,d=s?Math.min(32640,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*c,16*u,256*f,256*h)}function wc(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function Tc(t){for(var e=0,r=t.sections;e<r.length;e+=1){if($n(r[e].text))return!0}return!1}var kc=function(t){this.layoutVertexArray=new Ni,this.indexArray=new Yi,this.programConfigurations=t,this.segments=new pa,this.dynamicLayoutVertexArray=new ji,this.opacityVertexArray=new Ui,this.placedSymbolArray=new aa};kc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},kc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Js.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Ks.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,bc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},kc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},Nn(\"SymbolBuffers\",kc);var Ac=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new pa,this.collisionVertexArray=new Gi};Ac.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,Qs.members,!0)},Ac.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},Nn(\"CollisionBuffers\",Ac);var Mc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=ho([]),this.placementViewportMatrix=ho([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Gl(this.zoom,e[\"text-size\"]),this.iconSizeData=Gl(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&(r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\")),\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return Cl[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};Mc.prototype.createArrays=function(){this.text=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new la,this.lineVertexArray=new ca,this.symbolInstances=new sa},Mc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=rl[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},Mc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get(\"text-font\"),o=i.get(\"text-field\"),s=i.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof ne&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),c=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=i.get(\"symbol-sort-key\");if(this.features=[],l||c){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new pi(this.zoom),m=0,g=t;m<g.length;m+=1){var v=g[m],y=v.feature,x=v.id,b=v.index,_=v.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:y.type,id:x,properties:y.properties,geometry:w?Ya(y):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=Ya(y));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=ne.factory(A);Tc(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===ui()||this.hasRTLText&&hi.isParsed())&&(k=el(M,n,T))}var S=void 0;if(c){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof ie?E:ie.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:Ya(y),properties:y.properties,type:xc[y.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(\",\"),I=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(Cl.vertical)>=0;for(var O=0,z=k.sections;O<z.length;O+=1){var D=z[O];if(D.image)f[D.image.name]=!0;else{var R=Wn(k.toString()),F=D.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(D.text,B,I,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var c=0;c<t.length;c++){var u=t[c],f=u.geometry,h=u.text?u.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var m=s(p,d,f),g=o(p,d,n[m].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[m].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(c),e[p]=i-1,r[d]=i-1)}else a(c)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},Mc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},Mc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},Mc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Mc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},Mc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},Mc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},Mc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=a[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},Mc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),m=this.glyphOffsetArray.length,g=d.vertexLength,v=this.allowVerticalPlacement&&o===Cl.vertical?Math.PI/2:0,y=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,I=b.sectionIndex,O=d.vertexLength,z=C[1];_c(p,s.x,s.y,_.x,z+_.y,A.x,A.y,r,P,M.x,M.y,E,L),_c(p,s.x,s.y,w.x,z+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),_c(p,s.x,s.y,T.x,z+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),_c(p,s.x,s.y,k.x,z+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),wc(t.dynamicLayoutVertexArray,s,v),h.emplaceBack(O,O+1,O+2),h.emplaceBack(O+1,O+2,O+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&I===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,y&&y[I])}t.placedSymbolArray.emplaceBack(s.x,s.y,m,this.glyphOffsetArray.length-m,g,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,u)},Mc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},Mc.prototype.addCollisionDebugVertices=function(t,e,r,n,a,o,s){var l=a.segments.prepareSegment(4,a.layoutVertexArray,a.indexArray),c=l.vertexLength,u=a.layoutVertexArray,f=a.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,f,o,h,p,new i(t,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,n)),this._addCollisionDebugVertex(u,f,o,h,p,new i(t,n)),l.vertexLength+=4;var d=a.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4},Mc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,c=a.y2;this.addCollisionDebugVertices(o,s,l,c,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},Mc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new Ac(Hi,$s.members,Qi),this.iconCollisionBox=new Ac(Hi,$s.members,Qi);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},Mc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var c={},u=e;u<r;u++){var f=t.get(u);c.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},c.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);c.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},c.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var m=t.get(d);c.iconBox={x1:m.x1,y1:m.y1,x2:m.x2,y2:m.y2,anchorPointX:m.anchorPointX,anchorPointY:m.anchorPointY},c.iconFeatureIndex=m.featureIndex;break}for(var g=s;g<l;g++){var v=t.get(g);c.verticalIconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},c.verticalIconFeatureIndex=v.featureIndex;break}return c},Mc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},Mc.prototype.hasTextData=function(){return this.text.segments.get().length>0},Mc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Mc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},Mc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},Mc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Mc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},Mc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},Mc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},Mc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Nn(\"SymbolBucket\",Mc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Mc.MAX_GLYPHS=65535,Mc.addDynamicAttributes=wc;var Sc=new Si({\"symbol-placement\":new wi(Lt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new wi(Lt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new wi(Lt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Ti(Lt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new wi(Lt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new wi(Lt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new wi(Lt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new wi(Lt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new wi(Lt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Ti(Lt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new wi(Lt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new wi(Lt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Ti(Lt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Ti(Lt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new wi(Lt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new wi(Lt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Ti(Lt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Ti(Lt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new wi(Lt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new wi(Lt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new wi(Lt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Ti(Lt.layout_symbol[\"text-field\"]),\"text-font\":new Ti(Lt.layout_symbol[\"text-font\"]),\"text-size\":new Ti(Lt.layout_symbol[\"text-size\"]),\"text-max-width\":new Ti(Lt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new wi(Lt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Ti(Lt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Ti(Lt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Ti(Lt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new wi(Lt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Ti(Lt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new wi(Lt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new wi(Lt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Ti(Lt.layout_symbol[\"text-rotate\"]),\"text-padding\":new wi(Lt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new wi(Lt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Ti(Lt.layout_symbol[\"text-transform\"]),\"text-offset\":new Ti(Lt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new wi(Lt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new wi(Lt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new wi(Lt.layout_symbol[\"text-optional\"])}),Ec={paint:new Si({\"icon-opacity\":new Ti(Lt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Ti(Lt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Ti(Lt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Ti(Lt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Ti(Lt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new wi(Lt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new wi(Lt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Ti(Lt.paint_symbol[\"text-opacity\"]),\"text-color\":new Ti(Lt.paint_symbol[\"text-color\"],{runtimeType:Ut,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Ti(Lt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Ti(Lt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Ti(Lt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new wi(Lt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new wi(Lt.paint_symbol[\"text-translate-anchor\"])}),layout:Sc},Lc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ft,this.defaultValue=t};Lc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},Lc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},Lc.prototype.outputDefined=function(){return!1},Lc.prototype.serialize=function(){return null},Nn(\"FormatSectionOverride\",Lc,{omit:[\"defaultValue\"]});var Cc=function(t){function e(e){t.call(this,e,Ec)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values[\"text-writing-mode\"]=i}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||Yr(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new Mc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=Ec.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i=this.paint.get(n),a=new Lc(i),o=new Gr(a,i.property.specification),s=null;s=\"constant\"===i.value.kind||\"source\"===i.value.kind?new Xr(\"source\",o):new Zr(\"composite\",o,i.value.zoomStops,i.value._interpolationType),this.paint._values[n]=new bi(i.property,s,i.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=Ec.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof ne)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof ce&&se(t.value)===Gt){var e=t.value;a(e.sections)}else t instanceof pe?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ei),Pc={paint:new Si({\"background-color\":new wi(Lt.paint_background[\"background-color\"]),\"background-pattern\":new Ai(Lt.paint_background[\"background-pattern\"]),\"background-opacity\":new wi(Lt.paint_background[\"background-opacity\"])})},Ic=function(t){function e(e){t.call(this,e,Pc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei),Oc={paint:new Si({\"raster-opacity\":new wi(Lt.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new wi(Lt.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new wi(Lt.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new wi(Lt.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new wi(Lt.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new wi(Lt.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new wi(Lt.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new wi(Lt.paint_raster[\"raster-fade-duration\"])})},zc=function(t){function e(e){t.call(this,e,Oc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei);var Dc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Ei),Rc={circle:_o,heatmap:Po,hillshade:Oo,fill:xs,\"fill-extrusion\":Fs,line:Xs,symbol:Cc,background:Ic,raster:zc};var Fc=self.HTMLImageElement,Bc=self.HTMLCanvasElement,Nc=self.HTMLVideoElement,jc=self.ImageData,Uc=self.ImageBitmap,Vc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Vc.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Vc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Vc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Vc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Hc=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Hc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},Hc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var qc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},m([\"receive\",\"process\"],this),this.invoker=new Hc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=k()?t:self};function Gc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}qc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=S(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:Hn(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},qc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},qc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},qc.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(qn(e.error)):n(null,qn(e.data)))}else{var i=!1,a=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?Hn(e):null,data:Hn(n,a)},a)}:function(t){i=!0},s=null,l=qn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},qc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Yc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Yc.prototype.setNorthEast=function(t){return this._ne=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.setSouthWest=function(t){return this._sw=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Wc)e=t,r=t;else{if(!(t instanceof Yc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Yc.convert(a))}var o=t;return this.extend(Wc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Wc(e.lng,e.lat),this._ne=new Wc(r.lng,r.lat)),this},Yc.prototype.getCenter=function(){return new Wc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Yc.prototype.getSouthWest=function(){return this._sw},Yc.prototype.getNorthEast=function(){return this._ne},Yc.prototype.getNorthWest=function(){return new Wc(this.getWest(),this.getNorth())},Yc.prototype.getSouthEast=function(){return new Wc(this.getEast(),this.getSouth())},Yc.prototype.getWest=function(){return this._sw.lng},Yc.prototype.getSouth=function(){return this._sw.lat},Yc.prototype.getEast=function(){return this._ne.lng},Yc.prototype.getNorth=function(){return this._ne.lat},Yc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Yc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Yc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Yc.prototype.contains=function(t){var e=Wc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Yc.convert=function(t){return!t||t instanceof Yc?t:new Yc(t)};var Wc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Wc.prototype.wrap=function(){return new Wc(c(this.lng,-180,180),this.lat)},Wc.prototype.toArray=function(){return[this.lng,this.lat]},Wc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Wc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return 6371008.8*Math.acos(Math.min(i,1))},Wc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Yc(new Wc(this.lng-r,this.lat-e),new Wc(this.lng+r,this.lat+e))},Wc.convert=function(t){if(t instanceof Wc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Wc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Wc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var Xc=2*Math.PI*6371008.8;function Zc(t){return Xc*Math.cos(t*Math.PI/180)}function Jc(t){return(180+t)/360}function Kc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Qc(t,e){return t/Zc(e)}function $c(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var tu=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};tu.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Wc.convert(t);return new tu(Jc(r.lng),Kc(r.lat),Qc(e,r.lat))},tu.prototype.toLngLat=function(){return new Wc(360*this.x-180,$c(this.y))},tu.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Zc($c(e));var t,e},tu.prototype.meterInMercatorCoordinateUnits=function(){return 1/Xc*(t=$c(this.y),1/Math.cos(t*Math.PI/180));var t};var eu=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=iu(0,t,t,e,r)};eu.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},eu.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Gc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Gc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},eu.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new i(8192*(t.x*e-this.x),8192*(t.y*e-this.y))},eu.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var ru=function(t,e){this.wrap=t,this.canonical=e,this.key=iu(t,e.z,e.z,e.x,e.y)},nu=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new eu(r,+n,+i),this.key=iu(e,t,r,n,i)};function iu(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}nu.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},nu.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new nu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new nu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},nu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?iu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):iu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},nu.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},nu.prototype.children=function(t){if(this.overscaledZ>=t)return[new nu(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new nu(e,this.wrap,e,r,n),new nu(e,this.wrap,e,r+1,n),new nu(e,this.wrap,e,r,n+1),new nu(e,this.wrap,e,r+1,n+1)]},nu.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},nu.prototype.wrapped=function(){return new nu(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.unwrapTo=function(t){return new nu(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},nu.prototype.toUnwrapped=function(){return new ru(this.wrap,this.canonical)},nu.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},nu.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new tu(t.x-this.wrap,t.y))},Nn(\"CanonicalTileID\",eu),Nn(\"OverscaledTileID\",nu,{omit:[\"posMatrix\"]});var au=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return _('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};au.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},au.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},au.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},au.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},au.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},au.prototype.getPixels=function(){return new Eo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},au.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c<o;c++)for(var u=n;u<i;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},Nn(\"DEMData\",au);var ou=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};ou.prototype.encode=function(t){return this._stringToNumber[t]},ou.prototype.decode=function(t){return this._numberToString[t]};var su=function(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},lu={geometry:{configurable:!0}};lu.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},lu.geometry.set=function(t){this._geometry=t},su.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(su.prototype,lu);var cu=function(){this.state={},this.stateChanges={},this.deletedStates={}};cu.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},u(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r){this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]}},cu.prototype.removeFeatureState=function(t,e,r){if(!(null===this.deletedStates[t])){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e){if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null}else this.deletedStates[t]=null}},cu.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=u({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},cu.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},cu.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),u(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var f=0,h=Object.keys(this.deletedStates[o][c]);f<h.length;f+=1){var p=h[f];delete this.state[o][c][p]}s[c]=this.state[o][c]}r[o]=r[o]||{},u(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t){t[d].setFeatureState(r,e)}};var uu=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new zn(8192,16,0),this.grid3D=new zn(8192,16,0),this.featureIndexArray=new fa,this.promoteId=e};function fu(t,e,r,n,i){return v(t,(function(t,a){var o=e instanceof _i?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function hu(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function pu(t,e){return e-t}uu.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],f=0;f<c.length;f++){var h=c[f];u[0]=Math.min(u[0],h.x),u[1]=Math.min(u[1],h.y),u[2]=Math.max(u[2],h.x),u[3]=Math.max(u[3],h.y)}u[0]<8192&&u[1]<8192&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},uu.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Ls.VectorTile(new al(this.rawTileData)).layers,this.sourceLayerCoder=new ou(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},uu.prototype.query=function(t,e,r,n){var a=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=sn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,f=hu(c),h=this.grid.query(f.minX-u,f.minY-u,f.maxX+u,f.maxY+u),p=hu(t.cameraQueryGeometry),d=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,a){return function(t,e,r,n,a){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&a>=l.y)return!0}var c=[new i(e,r),new i(e,a),new i(n,a),new i(n,r)];if(t.length>2)for(var u=0,f=c;u<f.length;u+=1){if(io(t,f[u]))return!0}for(var h=0;h<t.length-1;h++){if(ao(t[h],t[h+1],c))return!0}return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,a+u)})),m=0,g=d;m<g.length;m+=1){var v=g[m];h.push(v)}h.sort(pu);for(var y,x={},b=function(i){var u=h[i];if(u!==y){y=u;var f=a.featureIndexArray.get(u),p=null;a.loadMatchingFeature(x,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=Ya(e)),r.queryIntersectsFeature(c,e,n,p,a.z,t.transform,s,t.pixelPosMatrix)}))}},_=0;_<h.length;_++)b(_);return x},uu.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,c,u){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),m=0;m<f.length;m++){var g=f[m];if(!(a&&a.indexOf(g)<0)){var v=s[g];if(v){var y={};void 0!==d&&c&&(y=c.getState(v.sourceLayer||\"_geojsonTileLayer\",d));var x=l[g];x.paint=fu(x.paint,v.paint,p,y,o),x.layout=fu(x.layout,v.layout,p,y,o);var b=!u||u(p,v,y);if(b){var _=new su(p,this.z,this.x,this.y,d);_.layer=x;var w=t[g];void 0===w&&(w=t[g]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},uu.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var c=sn(i),u=0,f=t;u<f.length;u+=1){var h=f[u];this.loadMatchingFeature(l,r,n,h,c,a,o,s,e)}return l},uu.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1){if(t===i[n])return!0}return!1},uu.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\"boolean\"==typeof(r=t.properties[n])&&(r=Number(r))}return r},Nn(\"FeatureIndex\",uu,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var du=function(t,e){this.tileID=t,this.uid=h(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};du.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<R.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},du.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},du.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof Mc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof Mc&&o.hasRTLText){this.hasRTLText=!0,hi.isLoading()||hi.isLoaded()||\"deferred\"!==ui()||fi();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new na},du.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},du.prototype.getBucket=function(t){return this.buckets[t.id]},du.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Vc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Vc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},du.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},du.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},du.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=sn(e&&e.filter),s=this.tileID.canonical,l=s.z,c=s.x,u=s.y,f={z:l,x:c,y:u},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new pi(this.tileID.overscaledZ),p)){var d=r.getId(p,i),m=new su(p,l,c,u,d);m.tile=f,t.push(m)}}}},du.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},du.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},du.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=A(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},du.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},du.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},du.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},du.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<R.now()},du.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},du.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=R.now()+t},du.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){r[i[n]]=!0}this.dependencies[t]=r},du.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1){if(a[s[o]])return!0}}return!1};var 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r},t.makeRequest=yt,t.mapObject=v,t.mercatorXfromLng=Jc,t.mercatorYfromLat=Kc,t.mercatorZfromAltitude=Qc,t.mul=mo,t.multiply=po,t.mvt=Ls,t.normalize=function(t,e){var r=e[0],n=e[1],i=e[2],a=r*r+n*n+i*i;return a>0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=qe,t.offscreenCanvasSupported=pt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t},t.parseGlyphPBF=function(t){return new al(t).readFields(Tl,[])},t.pbf=al,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=8192/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,c=t.layers[0]._unevaluatedLayout._values,u={};if(\"composite\"===t.textSizeData.kind){var f=t.textSizeData,h=f.minZoom,p=f.maxZoom;u.compositeTextSizes=[c[\"text-size\"].possiblyEvaluate(new 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g=(c+1)%2;(0===c?r-i<=d:n-i<=m)&&(o.push(f),o.push(p-1),o.push(g)),(0===c?r+i>=d:n+i>=m)&&(o.push(p+1),o.push(u),o.push(g))}}return s}(this.ids,this.coords,t,e,r,this.nodeSize)};var j={minZoom:0,maxZoom:16,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(t){return t}},U=function(t){this.options=X(Object.create(j),t),this.trees=new Array(this.options.maxZoom+1)};function V(t,e,r,n,i){return{x:t,y:e,zoom:1/0,id:r,parentId:-1,numPoints:n,properties:i}}function H(t,e){var r=t.geometry.coordinates,n=r[0],i=r[1];return{x:Y(n),y:W(i),zoom:1/0,index:e,parentId:-1}}function q(t){return{type:\"Feature\",id:t.id,properties:G(t),geometry:{type:\"Point\",coordinates:[(n=t.x,360*(n-.5)),(e=t.y,r=(180-360*e)*Math.PI/180,360*Math.atan(Math.exp(r))/Math.PI-90)]}};var e,r,n}function G(t){var e=t.numPoints,r=e>=1e4?Math.round(e/1e3)+\"k\":e>=1e3?Math.round(e/100)/10+\"k\":e;return 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r=0;r<e.length;r+=3)t.minX=Math.min(t.minX,e[r]),t.minY=Math.min(t.minY,e[r+1]),t.maxX=Math.max(t.maxX,e[r]),t.maxY=Math.max(t.maxY,e[r+1])}function tt(t,e,r,n){if(e.geometry){var i=e.geometry.coordinates,a=e.geometry.type,o=Math.pow(r.tolerance/((1<<r.maxZoom)*r.extent),2),s=[],l=e.id;if(r.promoteId?l=e.properties[r.promoteId]:r.generateId&&(l=n||0),\"Point\"===a)et(i,s);else if(\"MultiPoint\"===a)for(var c=0;c<i.length;c++)et(i[c],s);else if(\"LineString\"===a)rt(i,s,o,!1);else if(\"MultiLineString\"===a){if(r.lineMetrics){for(c=0;c<i.length;c++)s=[],rt(i[c],s,o,!1),t.push(Q(l,\"LineString\",s,e.properties));return}nt(i,s,o,!1)}else if(\"Polygon\"===a)nt(i,s,o,!0);else{if(\"MultiPolygon\"!==a){if(\"GeometryCollection\"===a){for(c=0;c<e.geometry.geometries.length;c++)tt(t,{id:l,geometry:e.geometry.geometries[c],properties:e.properties},r,n);return}throw new Error(\"Input data is not a valid GeoJSON object.\")}for(c=0;c<i.length;c++){var 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u=t[c],f=u.geometry,h=u.type,p=0===i?u.minX:u.minY,d=0===i?u.maxX:u.maxY;if(p>=r&&d<n)l.push(u);else if(!(d<r||p>=n)){var m=[];if(\"Point\"===h||\"MultiPoint\"===h)st(f,m,r,n,i);else if(\"LineString\"===h)lt(f,m,r,n,i,!1,s.lineMetrics);else if(\"MultiLineString\"===h)ut(f,m,r,n,i,!1);else if(\"Polygon\"===h)ut(f,m,r,n,i,!0);else if(\"MultiPolygon\"===h)for(var g=0;g<f.length;g++){var v=[];ut(f[g],v,r,n,i,!0),v.length&&m.push(v)}if(m.length){if(s.lineMetrics&&\"LineString\"===h){for(g=0;g<m.length;g++)l.push(Q(u.id,h,m[g],u.tags));continue}\"LineString\"!==h&&\"MultiLineString\"!==h||(1===m.length?(h=\"LineString\",m=m[0]):h=\"MultiLineString\"),\"Point\"!==h&&\"MultiPoint\"!==h||(h=3===m.length?\"Point\":\"MultiPoint\"),l.push(Q(u.id,h,m,u.tags))}}}return l.length?l:null}function st(t,e,r,n,i){for(var a=0;a<t.length;a+=3){var o=t[a+i];o>=r&&o<=n&&(e.push(t[a]),e.push(t[a+1]),e.push(t[a+2]))}}function lt(t,e,r,n,i,a,o){for(var 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r=[],n=0;n<t.length;n++){var i,a=t[n],o=a.type;if(\"Point\"===o||\"MultiPoint\"===o||\"LineString\"===o)i=mt(a.geometry,e);else if(\"MultiLineString\"===o||\"Polygon\"===o){i=[];for(var s=0;s<a.geometry.length;s++)i.push(mt(a.geometry[s],e))}else if(\"MultiPolygon\"===o)for(i=[],s=0;s<a.geometry.length;s++){for(var l=[],c=0;c<a.geometry[s].length;c++)l.push(mt(a.geometry[s][c],e));i.push(l)}r.push(Q(a.id,o,i,a.tags))}return r}function mt(t,e){var r=[];r.size=t.size,void 0!==t.start&&(r.start=t.start,r.end=t.end);for(var n=0;n<t.length;n+=3)r.push(t[n]+e,t[n+1],t[n+2]);return r}function gt(t,e){if(t.transformed)return t;var r,n,i,a=1<<t.z,o=t.x,s=t.y;for(r=0;r<t.features.length;r++){var l=t.features[r],c=l.geometry,u=l.type;if(l.geometry=[],1===u)for(n=0;n<c.length;n+=2)l.geometry.push(vt(c[n],c[n+1],e,a,o,s));else for(n=0;n<c.length;n++){var f=[];for(i=0;i<c[n].length;i+=2)f.push(vt(c[n][i],c[n][i+1],e,a,o,s));l.geometry.push(f)}}return t.transformed=!0,t}function 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u={},e.tags)u[f]=e.tags[f];u.mapbox_clip_start=i.start/i.size,u.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:\"Polygon\"===a||\"MultiPolygon\"===a?3:\"LineString\"===a||\"MultiLineString\"===a?2:1,tags:u};null!==e.id&&(h.id=e.id),t.features.push(h)}}function bt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function _t(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)tt(r,t.features[n],e,n);else\"Feature\"===t.type?tt(r,t,e):tt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=ot(t,1,-1-r,r,0,-1,2,e),a=ot(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=ot(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=dt(i,1).concat(n)),a&&(n=n.concat(dt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function wt(t,e,r){return 32*((1<<t)*r+e)+t}function Tt(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}U.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new N(s,Z,J,a,Float32Array),r&&console.timeEnd(o);for(var c=i;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new N(s,Z,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},U.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,f=l.range(Y(r),W(a),Y(i),W(n));u<f.length;u+=1){var h=f[u],p=l.points[h];c.push(p.numPoints?q(p):this.points[p.index])}return c},U.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=i.within(a.x,a.y,o);l<c.length;l+=1){var u=c[l],f=i.points[u];f.parentId===t&&s.push(f.numPoints?q(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},U.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},U.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,c=(r+1+s)/i,u={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,c),n.points,e,r,i,u),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,c),n.points,i,r,i,u),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,c),n.points,-1,r,i,u),u.features.length?u:null},U.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},U.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},U.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:c?G(l):this.points[l.index].properties},f=void 0;c?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(u.id=f),a.features.push(u)}},U.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},U.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var c=t[l];if(!(c.zoom<=e)){c.zoom=e;for(var u=this.trees[e+1],f=u.within(c.x,c.y,s),h=c.numPoints||1,p=c.x*h,d=c.y*h,m=o&&h>1?this._map(c,!0):null,g=(l<<5)+(e+1)+this.points.length,v=0,y=f;v<y.length;v+=1){var x=y[v],b=u.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=g,o&&(m||(m=this._map(c,!0)),o(m,this._map(b)))}}1===h?r.push(c):(c.parentId=g,r.push(V(p/h,d/h,g,h,m)))}}return r},U.prototype._getOriginId=function(t){return t-this.points.length>>5},U.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},U.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},_t.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},_t.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,f=wt(e,r,n),h=this.tiles[f];if(!h&&(c>1&&console.time(\"creation\"),h=this.tiles[f]=yt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){c>1&&console.time(\"clipping\");var m,g,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;m=g=v=y=null,x=ot(t,u,r-_,r+T,0,h.minX,h.maxX,l),b=ot(t,u,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(m=ot(x,u,n-_,n+T,1,h.minY,h.maxY,l),g=ot(x,u,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(v=ot(b,u,n-_,n+T,1,h.minY,h.maxY,l),y=ot(b,u,n+w,n+k,1,h.minY,h.maxY,l),b=null),c>1&&console.timeEnd(\"clipping\"),s.push(m||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(v||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},_t.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=wt(t,e=(e%o+o)%o,r);if(this.tiles[s])return gt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,f=r;!l&&c>0;)c--,u=Math.floor(u/2),f=Math.floor(f/2),l=this.tiles[wt(c,u,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,f,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?gt(this.tiles[s],i):null):null};var kt=function(e){function r(t,r,n,i){e.call(this,t,r,n,Tt),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));f(o,!0);try{e._geoJSONIndex=n.cluster?new U(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var f=u[c],h=n[f],p=h[0],d=h[1],m=t.createExpression(d),g=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",f]]:p);i[f]=m.value,a[f]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new _t(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON 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t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a=0;a<r.length;a++)i.push(new t.Point(r[a].clientX-n.left-e.clientLeft,r[a].clientY-n.top-e.clientTop));return i},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];if(a[0]<r||a[1]<a[0]||e<a[1])return!1;r=a[1]}return!0},r.prototype._validateContent=function(t,e){return!t||4===t.length&&(!(t[0]<0||e.data.width<t[0])&&(!(t[1]<0||e.data.height<t[1])&&(!(t[2]<0||e.data.width<t[2])&&(!(t[3]<0||e.data.height<t[3])&&(!(t[2]<t[0])&&!(t[3]<t[1]))))))},r.prototype.updateImage=function(t,e){var r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:c,y:u-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c+h,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,m=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function v(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(y(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(y(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function y(t,e,r,n,i){r[0]=0,n[0]=-m,n[1]=+m;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+m}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?m:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?m:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(v(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),v(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1){(0,o[i])(t,e)}delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,\"-transition\")?this._transitionable.setTransition(n.slice(0,-\"-transition\".length),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),T=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};T.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},T.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var c=t[l];i=s*r,a=(s+=c)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===c})}return n},T.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=void 0,d=i/r*(n+1);if(l.isDash){var m=n-Math.abs(d);p=Math.sqrt(h*h+m*m)}else p=n-Math.sqrt(h*h+d*d);this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=l.isDash?h:-h;this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,c},T.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var k=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function A(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}k.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},k.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},k.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},k.Actor=t.Actor;var M=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};M.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},M.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var S=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=A(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),E=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=A(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(E),C=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var c=i-r,u=a-n,f=Math.max(c,u),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var O=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var 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e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(_t),Tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(_t),kt=function(t,e,r,n){this.context=t,this.width=e,this.height=r;var i=t.gl,a=this.framebuffer=i.createFramebuffer();this.colorAttachment=new wt(t,a),n&&(this.depthAttachment=new Tt(t,a))};kt.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var At=function(t,e,r){this.func=t,this.mask=e,this.range=r};At.ReadOnly=!1,At.ReadWrite=!0,At.disabled=new At(519,At.ReadOnly,[0,1]);var Mt=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Mt.disabled=new Mt({func:519,mask:0},0,0,7680,7680,7680);var St=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};St.disabled=new St(St.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),St.unblended=new St(St.Replace,t.Color.transparent,[!0,!0,!0,!0]),St.alphaBlended=new St([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Et=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Et.disabled=new Et(!1,1029,2305),Et.backCCW=new Et(!0,1029,2305);var Lt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new q(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new Z(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new it(this),this.blendEquation=new at(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ft(this),this.bindFramebuffer=new ht(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new mt(this),this.bindElementBuffer=new gt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new yt(this),this.pixelStoreUnpackPremultiplyAlpha=new xt(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\")};Lt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Lt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Lt.prototype.createIndexBuffer=function(t,e){return new j(this,t,e)},Lt.prototype.createVertexBuffer=function(t,e,r){return new V(this,t,e,r)},Lt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Lt.prototype.createFramebuffer=function(t,e,r){return new kt(this,t,e,r)},Lt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Lt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Lt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Lt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Lt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,St.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Lt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ct=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new D[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new N(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(It(this._source.type)){for(var c={},u={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],m=this._tiles[p];if(m&&!(m.fadeEndTime&&m.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),c[g.tileID.key]=g.tileID),u[p]=d}}for(var v in this._retainLoadedChildren(u,a,s,l),c)l[v]||(this._coveredTiles[v]=!0,l[v]=c[v])}for(var y in l)this._tiles[y].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],f=this._addTile(u);n[u.key]=u,f.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],m=this._tiles[d.key];if(!m.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],v=this.getTile(g);if(v&&v.hasData()){n[g.key]=g;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=m.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(m=this.getTile(_))&&x&&(m=this._addTile(_)),m&&(n[_.key]=_,x=m.wasRequested(),m.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,m=0,g=c;m<g.length;m+=1){var v=g[m];f=Math.min(f,v.x),h=Math.min(h,v.y),p=Math.max(p,v.x),d=Math.max(d,v.y)}for(var y=function(e){var n=i._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,m=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/m,v=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(v[0].x-g<t.EXTENT&&v[0].y-g<t.EXTENT&&v[1].x+g>=0&&v[1].y+g>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:m})}}},x=0;x<u.length;x++)y(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(It(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles){this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\")}this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function Pt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function It(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function Ot(){return new t.window.Worker(Zi.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var zt=\"mapboxgl_preloaded_worker_pool\",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Dt.workerCount;)this.workers.push(new Ot);return this.active[t]=!0,this.workers.slice()},Dt.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Dt.prototype.isPreloaded=function(){return!!this.active[zt]},Dt.prototype.numActive=function(){return Object.keys(this.active).length};var Rt,Ft=Math.floor(t.browser.hardwareConcurrency/2);function Bt(){return Rt||(Rt=new Dt),Rt}function Nt(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function jt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Nt(t[n],e[t[n].ref]));return t}Dt.workerCount=Math.max(Math.min(Ft,6),1);var Ut={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function Vt(t,e,r){r.push({command:Ut.addSource,args:[t,e[t]]})}function Ht(t,e,r){e.push({command:Ut.removeSource,args:[t]}),r[t]=!0}function qt(t,e,r,n){Ht(t,r,n),Vt(t,e,r)}function Gt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Yt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Wt(t){return t.id}function Xt(t,e){return t[e.id]=e,t}function Zt(e,r){if(!e)return[{command:Ut.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ut.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ut.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ut.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ut.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ut.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ut.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ut.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ut.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ut.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Ht(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Gt(e,r,a)?n.push({command:Ut.setGeoJSONSourceData,args:[a,r[a].data]}):qt(a,r,n,i)):Vt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ut.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,c,u,f=(e=e||[]).map(Wt),h=r.map(Wt),p=e.reduce(Xt,{}),d=r.reduce(Xt,{}),m=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:Ut.removeLayer,args:[o]}),m.splice(m.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],m[m.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ut.removeLayer,args:[o]}),m.splice(m.lastIndexOf(o,m.length-a),1)):a++,c=m[m.length-i],n.push({command:Ut.addLayer,args:[d[o],c]}),m.splice(m.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(u in Yt(s.layout,l.layout,n,o,null,Ut.setLayoutProperty),Yt(s.paint,l.paint,n,o,null,Ut.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ut.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ut.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Ut.removeLayer,args:[o]}),c=m[m.lastIndexOf(o)+1],n.push({command:Ut.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Ut.setStyle,args:[r]}]}return n}var Jt=function(t,e){this.reset(t,e)};Jt.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},Jt.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Kt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function Qt(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function $t(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function te(e,r){var n=[e.x,e.y,0,1];fe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ee(t,e){return.5+t/e*.5}function re(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ne(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,m=n.transform.width/n.transform.height,g=!1,v=0;v<d.length;v++){var y=d.get(v);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!g)ue(y.numGlyphs,h);else{g=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),re(x,f)){var b=x[3],_=ee(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(c,u,y),T=s?w/_:w*_,k=new t.Point(y.anchorX,y.anchorY),A=te(k,a).point,M={},S=oe(y,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,m);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&oe(y,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,m).notEnoughRoom)&&ue(y.numGlyphs,h)}else ue(y.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function ie(t,e,r,n,i,a,o,s,l,c,u){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),m=e.getoffsetX(f-1),g=le(t*d,r,n,i,a,o,s.segment,h,p,l,c,u);if(!g)return null;var v=le(t*m,r,n,i,a,o,s.segment,h,p,l,c,u);return v?{first:g,last:v}:null}function ae(e,r,n,i){if(e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i)return{useVertical:!0};return(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function oe(e,r,n,i,a,o,s,l,c,u,f,h,p,d){var m,g=r/24,v=e.lineOffsetX*g,y=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ie(g,l,v,y,n,f,h,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=te(w.first.point,s).point,k=te(w.last.point,s).point;if(i&&!n){var A=ae(e.writingMode,T,k,d);if(A)return A}m=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)m.push(le(g*l.getoffsetX(M),v,y,n,f,h,e.segment,b,_,c,o,p));m.push(w.last)}else{if(i&&!n){var S=te(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(c.getx(E),c.gety(E)),C=te(L,a),P=C.signedDistanceFromCamera>0?C.point:se(h,L,S,1,a),I=ae(e.writingMode,S,P,d);if(I)return I}var O=le(g*l.getoffsetX(e.glyphStartIndex),v,y,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!O)return{notEnoughRoom:!0};m=[O]}for(var z=0,D=m;z<D.length;z+=1){var R=D[z];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function se(t,e,r,n,i){var a=te(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function le(e,r,n,i,a,o,s,l,c,u,f,h){var p=i?e-r:e+r,d=p>0?1:-1,m=0;i&&(d*=-1,m=Math.PI),d<0&&(m+=Math.PI);for(var g=d>0?l+s:l+s+1,v=a,y=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=c)return null;if(y=v,w.push(v),void 0===(v=h[g])){var T=new t.Point(u.getx(g),u.gety(g)),k=te(T,f);if(k.signedDistanceFromCamera>0)v=h[g]=k.point;else{var A=g-d;v=se(0===x?o:new t.Point(u.getx(A),u.gety(A)),T,y,_-x+1,f)}}x+=b,b=y.dist(v)}var M=(_-x)/b,S=v.sub(y),E=S.mult(M)._add(y);E._add(S._unit()._perp()._mult(n*d));var L=m+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:L,path:w}}Kt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Kt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Kt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Kt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Kt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Kt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-f,y1:u-f,x2:c+f,y2:u+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Kt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),n?c.length>0:c},Kt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Kt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Kt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Kt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,f=0,h=c;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var m=this.circleCells[i];if(null!==m)for(var g=this.circles,v=0,y=m;v<y.length;v+=1){var x=y[v];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Kt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[i];if(null!==u)for(var f=this.bboxes,h=0,p=u;h<p.length;h+=1){var d=p[h];if(!c.box[d]){c.box[d]=!0;var m=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[m+0],f[m+1],f[m+2],f[m+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var v=this.circles,y=0,x=g;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(v[_],v[_+1],v[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Kt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=u;h++)for(var p=c;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Kt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Kt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Kt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Kt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var f=l-s,h=u-c;return f*f+h*h<=r*r};var ce=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ue(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(ce,3*n)}}function fe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var he=function(t,e,r){void 0===e&&(e=new Kt(t.width+200,t.height+200,25)),void 0===r&&(r=new Kt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function pe(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}he.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,c=t.x2*o+a.point.x,u=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,i)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},he.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,c,u,f,h,p){var d=[],m=new t.Point(r.anchorX,r.anchorY),g=te(m,o),v=ee(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),y=(u?a/v:a*v)/t.ONE_EM,x=te(m,s).point,b=ie(y,i,r.lineOffsetX*y,r.lineOffsetY*y,!1,x,m,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*v+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Jt,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var I=1;I<L.path.length;I++)C.push(L.path[I]);var O=2.5*k;if(l){var z=C.map((function(t){return te(t,l)}));C=z.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:z.map((function(t){return t.point}))}var D=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);D=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=D;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V=0;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/O)+1;for(var H=0;H<V;H++){var q=H/Math.max(V-1,1),G=S.lerp(q),Y=G.x+100,W=G.y+100;d.push(Y,W,k,0);var X=Y-k,Z=W-k,J=Y+k,K=W+k;if(T=T&&this.isOffscreen(X,Z,J,K),w=w||this.isInsideGrid(X,Z,J,K),!e&&this.grid.hitTestCircle(Y,W,k,f)&&(_=!0,!c))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!c&&_||!w?[]:d,offscreen:T,collisionDetected:_}},he.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y),r.push(u)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var m=d[p],g=m.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var v=[new t.Point(m.x1,m.y1),new t.Point(m.x2,m.y1),new t.Point(m.x2,m.y2),new t.Point(m.x1,m.y2)];t.polygonIntersectsPolygon(r,v)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},he.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},he.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},he.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return fe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+100,(-i[1]/i[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},he.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},he.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var de=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};de.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new de(t?t.text:null,e,r,i),this.icon=new de(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var ge=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},ve=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},ye=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},xe=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function be(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point(s+c[0]*a,l+c[1]*a)}function _e(e,r,n,i,a,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:f,anchorPointY:h}}xe.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var we=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new he(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new xe(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Te(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}we.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=pe(n,1,this.transform.zoom),m=Qt(f,h,p,this.transform,d),g=null;if(h){var v=$t(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,v)}this.retainedQueryData[a.bucketInstanceId]=new ye(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var y={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:m,labelToScreenMatrix:g,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:y})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:y})}},we.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d){var m,g=[f.textOffset0,f.textOffset1],v=be(t,r,n,g,i),y=this.collisionIndex.placeCollisionBox(_e(e,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate);if(d&&0===this.collisionIndex.placeCollisionBox(_e(d,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate).box.length)return;if(y.box.length>0)return this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(m=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:m},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:v,placedGlyphBoxes:y}},we.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,m=a.collisionGroup,g=s.get(\"text-optional\"),v=s.get(\"icon-optional\"),y=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=y&&(x||!o.hasIconData()||v),A=x&&(y||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new ge(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,I=null,O=0,z=0,D=0;a.textFeatureIndex?O=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(O=e.featureIndex),a.verticalTextFeatureIndex&&(z=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length;i+=1){if(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),L&&L.box&&L.box.length)break}else L=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,h={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],v=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,c,b,_,f,l,m,v,e,o,n,u);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,y,f,l,m.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,m.predicate,X,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?_e(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,m.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(I=Z(a.verticalIconBox)).box.length>0:(I=Z(a.iconBox)).box.length>0,S=S&&I.offscreen}var J=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=v||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&z?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,m.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,m.ID)),M&&I&&i.collisionIndex.insertCollisionBox(I.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,m.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,m.ID),n)){var Q=o.bucketInstanceId,$=i.collisionCircleArrays[Q];void 0===$&&($=i.collisionCircleArrays[Q]=new ve);for(var tt=0;tt<P.circles.length;tt+=4)$.circles.push(P.circles[tt+0]),$.circles.push(P.circles[tt+1]),$.circles.push(P.circles[tt+2]),$.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new ge(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},we.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var c=l[s];c>=0&&(e.text.placedSymbolArray.get(c).crossTileID=a>=0&&c!==a?0:n.crossTileID)}},we.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},we.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=i[s];c?(this.opacities[s]=new me(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in i){var f=i[u];if(!this.opacities[u]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[u]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},we.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},we.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),c=a.get(\"text-variable-anchor\"),u=\"map\"===a.get(\"text-rotation-alignment\"),f=\"map\"===a.get(\"text-pitch-alignment\"),h=\"none\"!==a.get(\"icon-text-fit\"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},m=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,m=a.crossTileID,g=r[m],v=i.opacities[m];g?v=o:v||(v=p,i.opacities[m]=v),r[m]=!0;var y=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(y){var T=Pe(v.text),k=_?Ie:T;d(e.text,s,k);var A=w?Ie:T;d(e.text,l,A);var M=v.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=Pe(v.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:Ie;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=v.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var I=C?Ie:L;d(e.icon,a.numVerticalIconVertices,I),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=v.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var O=e.collisionArrays[n];if(O){var z=new t.Point(0,0);if(O.textBox||O.verticalTextBox){var D=!0;if(c){var R=i.variableOffsets[m];R?(z=be(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),u&&z._rotate(f?i.transform.angle:-i.transform.angle)):D=!1}O.textBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||_,z.x,z.y),O.verticalTextBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||w,z.x,z.y)}var F=Boolean(!w&&O.verticalIconBox);O.iconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,F,h?z.x:0,h?z.y:0),O.verticalIconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,!F,h?z.x:0,h?z.y:0)}}},g=0;g<e.symbolInstances.length;g++)m(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var v=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=v.invProjMatrix,e.placementViewportMatrix=v.viewportMatrix,e.collisionCircleArray=v.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},we.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},we.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},we.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},we.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},we.prototype.setStale=function(){this.stale=!0};var ke=Math.pow(2,25),Ae=Math.pow(2,24),Me=Math.pow(2,17),Se=Math.pow(2,16),Ee=Math.pow(2,9),Le=Math.pow(2,8),Ce=Math.pow(2,1);function Pe(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*ke+e*Ae+r*Me+e*Se+r*Ee+e*Le+r*Ce+e}var Ie=0,Oe=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Oe.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var ze=function(t,e,r,n,i,a,o){this.placement=new we(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};ze.prototype.isDone=function(){return this._done},ze.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Oe(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var De=512/t.EXTENT/2,Re=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Re.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=De/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Re.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,a.crossTileID=u.crossTileID;break}}}}};var Fe=function(){this.maxCrossTileID=0};Fe.prototype.generate=function(){return++this.maxCrossTileID};var Be=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Be.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Be.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++){e.symbolInstances.get(n).crossTileID=0}this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u<e.symbolInstances.length;u++){var f=e.symbolInstances.get(u);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Re(t,e.symbolInstances,e.bucketInstanceId),!0},Be.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Be.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ne=function(){this.layerIndexes={},this.crossTileIDs=new Fe,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ne.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Be);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(i=!0),a[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ne.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var je=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},Ue=t.pick(Ut,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ve=t.pick(Ut,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),He=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a=null;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),qe=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new k(Bt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new T(256,512),this.crossTileSymbolIndex=new Ne,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if((t.triggerPluginCompletionEvent(e),r)&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(He,!1)},r.prototype._load=function(e,r){if(!r||!je(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=jt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new w(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,m=l.stretchX,g=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:f,y:h},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:m,stretchY:g,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),je(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=jt(e.layers);var n=Zt(this.serialize(),e).filter((function(t){return!(t.command in Ve)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in Ue)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0)||!this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n)){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ct(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(je(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,f=c;u<f.length;u+=1){var h=f[u];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var m=this._order[d];if(r(m))for(var g=i.length-1;g>=0;g--){var v=i[g].feature;if(n[v.layer.id]<d)break;p.push(v),i.pop()}else for(var y=0,x=t;y<x.length;y+=1){var b=x[y][m];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[u]||c.push(F(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),c=[],u=0,f=Object.keys(l).map(Number);u<f.length;u+=1){var h=f[u];c.push(o[h])}c.sort(B);for(var p=function(){var r=m[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],c=n[a];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var u=0,f=c;u<f.length;u+=1){var h=f[u];o.push(h)}}},d=0,m=c;d<m.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var v in s)g(v);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&je(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers){this._layers[e].setEventedParent(null)}for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];if(\"symbol\"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new ze(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var m=0,g=this._order;m<g.length;m+=1){var v=g[m],y=this._layers[v];\"symbol\"===y.type&&this.placement.updateLayerOpacities(y,l[y.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);qe.getSourceType=function(t){return D[t]},qe.setSourceType=function(t,e){D[t]=e},qe.registerForPluginStateChange=t.registerForPluginStateChange;var Ge=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ye=yr(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),We=yr(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Xe=yr(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),Ze=yr(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Je=yr(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Ke=yr(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),Qe=yr(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),$e=yr(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),tr=yr(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),er=yr(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),rr=yr(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),nr=yr(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ir=yr(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ar=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),or=yr(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),sr=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),lr=yr(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),cr=yr(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),ur=yr(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),fr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),hr=yr(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),pr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),dr=yr(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),mr=yr(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),gr=yr(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),vr=yr(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function yr(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o=\"float\"===i?\"vec2\":\"vec4\",s=a.match(/color/)?\"color\":o;return n[a]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"}))}}var xr=Object.freeze({__proto__:null,prelude:Ye,background:We,backgroundPattern:Xe,circle:Ze,clippingMask:Je,heatmap:Ke,heatmapTexture:Qe,collisionBox:$e,collisionCircle:tr,debug:er,fill:rr,fillOutline:nr,fillOutlinePattern:ir,fillPattern:ar,fillExtrusion:or,fillExtrusionPattern:sr,hillshadePrepare:lr,hillshade:cr,line:ur,lineGradient:fr,linePattern:hr,lineSDF:pr,raster:dr,symbolIcon:mr,symbolSDF:gr,symbolTextAndIcon:vr}),br=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};br.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);var u=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||u?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},br.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var f=l;f<s;f++)u.disableVertexAttribArray(f)}e.enableAttributes(u,t);for(var h=0,p=r;h<p.length;h+=1){p[h].enableAttributes(u,t)}a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(var d=0,m=r;d<m.length;d+=1){var g=m[d];g.bind(),g.setVertexAttribPointers(u,t,i)}a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l},br.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var _r=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Ye.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Ye.vertexSource,e.vertexSource).join(\"\\n\"),c=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,s),a.compileShader(c),a.attachShader(this.program,c);var u=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,l),a.compileShader(u),a.attachShader(this.program,u);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(u),a.deleteShader(c),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var m=a.getActiveAttrib(this.program,d);m&&(this.attributes[m.name]=a.getAttribLocation(this.program,m.name))}for(var g=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),v=0;v<g;v++){var y=a.getActiveUniform(this.program,v);y&&(p[y.name]=a.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function wr(t,e,r){var n=1/pe(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}_r.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m){var g,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[v.LINES]=2,g[v.TRIANGLES]=3,g[v.LINE_STRIP]=1,g)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new br)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,m),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Tr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},kr=function(e,r,n,i,a,o,s){return t.extend(Tr(e,r,n,i),wr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Ar=function(t){return{u_matrix:t}},Mr=function(e,r,n,i){return t.extend(Ar(e),wr(n,r,i))},Sr=function(t,e){return{u_matrix:t,u_world:e}},Er=function(e,r,n,i,a){return t.extend(Mr(e,r,n,i),{u_world:a})},Lr=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=pe(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Cr=function(t,e,r){var n=pe(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Pr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Ir=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Or=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:pe(e,1,r),u_intensity:n}};function Dr(e,r){var n=Math.pow(2,r.canonical.z),i=r.canonical.y;return[new t.MercatorCoordinate(0,i/n).toLngLat().lat,new t.MercatorCoordinate(0,(i+1)/n).toLngLat().lat]}var Rr=function(e,r,n){var i=e.transform;return{u_matrix:Ur(e,r,n),u_ratio:1/pe(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Fr=function(e,r,n){return t.extend(Rr(e,r,n),{u_image:0})},Br=function(e,r,n,i){var a=e.transform,o=jr(r,a);return{u_matrix:Ur(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/pe(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Nr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=jr(r,o),c=\"round\"===n.layout.get(\"line-cap\"),u=s.getDash(i.from,c),f=s.getDash(i.to,c),h=u.width*a.fromScale,p=f.width*a.toScale;return t.extend(Rr(e,r,n),{u_patternscale_a:[l/h,-u.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:f.y,u_mix:a.t})};function jr(t,e){return 1/pe(t,1,e.tileZoom)}function Ur(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Vr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Hr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Hr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var qr,Gr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Yr=function(e,r,n,i,a,o,s,l,c,u,f){var h=a.transform;return t.extend(Gr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Wr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Yr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Xr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Zr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,f=u*(n.tileID.canonical.x+n.tileID.wrap*c),h=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/pe(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},Jr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Kr(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var m=i[d],g=r.getTile(m),v=g.getBucket(n);if(v){var y=m.posMatrix;0===a[0]&&0===a[1]||(y=e.translatePosMatrix(m.posMatrix,g,a,o));var x=s?v.textCollisionBox:v.iconCollisionBox,b=v.collisionCircleArray;if(b.length>0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&u.draw(l,c.LINES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],I=E.circleArray[C+1],O=E.circleArray[C+2],z=E.circleArray[C+3];k.emplace(A++,P,I,O,z,0),k.emplace(A++,P,I,O,z,1),k.emplace(A++,P,I,O,z,2),k.emplace(A++,P,I,O,z,3)}(!qr||qr.length<2*h)&&(qr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var D=l.createIndexBuffer(qr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Pr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var Qr=t.identity(new Float32Array(16));function $r(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point((l/a+u[0])*o,(c/a+u[1])*o)}function tn(e,r,n,i,a,o,s,l,c,u,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,m={};p.clear();for(var g=0;g<h.length;g++){var v=h.get(g),y=e.allowVerticalPlacement&&!v.placedOrientation,x=v.hidden||!v.crossTileID||y?null:i[v.crossTileID];if(x){var b=new t.Point(v.anchorX,v.anchorY),_=te(b,n?l:s),w=ee(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,u,v)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/c);for(var k=x.width,A=x.height,M=$r(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?te(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&v.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<v.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&v.associatedIconIndex>=0&&(m[v.associatedIconIndex]={shiftedAnchor:S,angle:E})}else ue(v.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var I=C.get(P);if(I.hidden)ue(I.numGlyphs,d);else{var O=m[P];if(O)for(var z=0;z<I.numGlyphs;z++)t.addDynamicAttributes(d,O.shiftedAnchor,O.angle);else ue(I.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function en(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function rn(e,r,n,i,a,o,s,l,c,u,f,h){for(var p=e.context,d=p.gl,m=e.transform,g=\"map\"===l,v=\"map\"===c,y=g&&\"point\"!==n.layout.get(\"symbol-placement\"),x=g&&!v&&!y,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=e.depthModeForSublayer(0,At.ReadOnly),w=n.layout.get(\"text-variable-anchor\"),T=[],k=0,A=i;k<A.length;k+=1){var M=A[k],S=r.getTile(M),E=S.getBucket(n);if(E){var L=a?E.text:E.icon;if(L&&L.segments.get().length){var C=L.programConfigurations.get(n.id),P=a||E.sdfIcons,I=a?E.textSizeData:E.iconSizeData,O=v||0!==m.pitch,z=e.useProgram(en(P,a,E),C),D=t.evaluateSizeForZoom(I,m.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a){if(B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText){F=S.imageAtlasTexture.size,j=S.imageAtlasTexture;var V=\"composite\"===I.kind||\"camera\"===I.kind;U=O||e.options.rotating||e.options.zooming||V?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||H||O?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=pe(S,1,e.transform.zoom),G=Qt(M.posMatrix,v,g,e.transform,q),Y=$t(M.posMatrix,v,g,e.transform,q),W=w&&E.hasTextData(),X=\"none\"!==n.layout.get(\"icon-text-fit\")&&W&&E.hasIconData();y&&ne(E,M.posMatrix,e,a,G,Y,v,u);var Z=e.translatePosMatrix(M.posMatrix,S,o,s),J=y||a&&w||X?Qr:G,K=e.translatePosMatrix(Y,S,o,s,!0),Q=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),$={program:z,buffers:L,uniformValues:P?E.iconsInText?Wr(I.kind,D,x,v,e,Z,J,K,R,F):Yr(I.kind,D,x,v,e,Z,J,K,a,R,!0):Gr(I.kind,D,x,v,e,Z,J,K,a,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:Q};if(b)for(var tt=0,et=L.segments.get();tt<et.length;tt+=1){var rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:$})}else T.push({segments:L.segments,sortKey:0,state:$})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function nn(t,e,r,n,i,a,o,s,l){var c=n.context,u=c.gl;i.draw(c,u.TRIANGLES,a,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function an(t,e,r,n,i,a,o){var s,l,c,u,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),m=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var g=0,v=n;g<v.length;g+=1){var y=v[g],x=e.getTile(y);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(m));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(y.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){u=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];c=\"fillOutlinePattern\"===l&&d?Er(S,t,m,x,E):Sr(S,E)}else u=b.indexBuffer,f=b.segments,c=d?Mr(S,t,m,x):Ar(S);w.draw(t.context,s,i,t.stencilModeForClipping(y),a,Et.disabled,c,r.id,b.layoutVertexBuffer,u,f,r.paint,t.transform.zoom,_)}}}}function on(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,c=r.paint.get(\"fill-extrusion-pattern\"),u=c.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var m=d[p],g=e.getTile(m),v=g.getBucket(r);if(v){var y=v.programConfigurations.get(r.id),x=t.useProgram(u?\"fillExtrusionPattern\":\"fillExtrusion\",y);u&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(f));var b=c.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&y.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(m.posMatrix,g,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=u?kr(k,t,A,h,m,f,g):Tr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Et.backCCW,M,r.id,v.layoutVertexBuffer,v.indexBuffer,v.segments,r.paint,t.transform.zoom,y)}}}function sn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var c=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var u=function(t,e,r){var n=r.paint.get(\"hillshade-shadow-color\"),i=r.paint.get(\"hillshade-highlight-color\"),a=r.paint.get(\"hillshade-accent-color\"),o=r.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===r.paint.get(\"hillshade-illumination-anchor\")&&(o-=t.transform.angle);var s=!t.options.moving;return{u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped(),s),u_image:0,u_latrange:Dr(t,e.tileID),u_light:[r.paint.get(\"hillshade-exaggeration\"),o],u_shadow:n,u_highlight:i,u_accent:a}}(t,e,r);c.draw(o,s.TRIANGLES,n,i,a,Et.disabled,u,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function ln(e,r,n,i,a,o,s){var l=e.context,c=l.gl,u=r.dem;if(u&&u.data){var f=u.dim,h=u.stride,p=u.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var m=r.fbo;if(!m){var g=new t.Texture(l,{width:f,height:f,data:null},c.RGBA);g.bind(c.LINEAR,c.CLAMP_TO_EDGE),(m=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(m.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram(\"hillshadePrepare\").draw(l,c.TRIANGLES,a,o,s,Et.disabled,function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}}(r.tileID,u,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function cn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),f=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var un=new t.Color(1,0,0,1),fn=new t.Color(0,1,0,1),hn=new t.Color(0,0,1,1),pn=new t.Color(1,0,1,1),dn=new t.Color(0,1,1,1);function mn(t){var e=t.transform.padding;gn(t,t.transform.height-(e.top||0),3,un),gn(t,e.bottom||0,3,fn),vn(t,e.left||0,3,hn),vn(t,t.transform.width-(e.right||0),3,pn);var r=t.transform.centerPoint;!function(t,e,r,n){yn(t,e-1,r-10,2,20,n),yn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,dn)}function gn(t,e,r,n){yn(t,0,e+r/2,t.transform.width,r,n)}function vn(t,e,r,n){yn(t,e-r/2,0,r,t.transform.height,n)}function yn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function xn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=At.disabled,c=Mt.disabled,u=e.colorModeForRenderPass();i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Et.disabled,Ir(o,t.Color.red),\"$debug\",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,h=f&&f.byteLength||0,p=Math.floor(h/1024),d=r.getTile(n).tileSize,m=512/Math.min(d,512)*(n.overscaledZ/e.transform.zoom)*.5,g=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(g+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,g+\" \"+p+\"kb\"),s.draw(i,a.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Ir(o,t.Color.transparent,m),\"$debug\",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var bn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Mt.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,c=\"map\"===a,u=\"map\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),m=d.getBucket(n);if(m&&m.text&&m.text.segments.get().length){var g=m.textSizeData,v=t.evaluateSizeForZoom(g,l.zoom),y=pe(d,1,r.transform.zoom),x=Qt(p.posMatrix,u,c,r.transform,y),b=\"none\"!==n.layout.get(\"icon-text-fit\")&&m.hasIconData();if(v){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);tn(m,c,u,s,t.symbolSize,l,x,p.posMatrix,_,v,b)}}}}(i,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&rn(e,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&rn(e,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(Kr(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),Kr(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,f=e.depthModeForSublayer(0,At.ReadOnly),h=Mt.disabled,p=e.colorModeForRenderPass(),d=[],m=0;m<i.length;m++){var g=i[m],v=r.getTile(g),y=v.getBucket(n);if(y){var x=y.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:y.layoutVertexBuffer,indexBuffer:y.indexBuffer,uniformValues:Lr(e,g,v,n)};if(l)for(var _=0,w=y.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:y.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,I=S.uniformValues,O=M.segments;L.draw(c,u.TRIANGLES,f,h,p,Et.disabled,I,n.id,C,P,O,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Mt.disabled,l=new St([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);!function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}}(a,e,n),a.clear({color:t.Color.transparent});for(var c=0;c<i.length;c++){var u=i[c];if(!r.hasRenderableParent(u)){var f=r.getTile(u),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),m=e.transform.zoom;d.draw(a,o.TRIANGLES,At.disabled,s,l,Et.disabled,zr(u.posMatrix,f,m,n.paint.get(\"heatmap-intensity\")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(!a)return;n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA));o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}}(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}(e,n))},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,At.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),f=u.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":c?\"lineSDF\":h?\"lineGradient\":\"line\",m=e.context,g=m.gl,v=!0;if(h){m.activeTexture.set(g.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(m,n.gradient,g.RGBA)),y.bind(g.LINEAR,g.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),A=e.context.program.get(),M=e.useProgram(d,k),S=v||M.program!==A,E=u.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas,C=L.patternPositions[E.to.toString()],P=L.patternPositions[E.from.toString()];C&&P&&k.setConstantPatternPositions(C,P)}var I=f?Br(e,w,n,p):c?Nr(e,w,n,c,p):h?Fr(e,w,n):Rr(e,w,n);f?(m.activeTexture.set(g.TEXTURE0),w.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):c&&(S||e.lineAtlas.dirty)&&(m.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(m)),M.draw(m,g.TRIANGLES,s,e.stencilModeForClipping(_),l,Et.disabled,I,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),v=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?At.ReadWrite:At.ReadOnly);an(e,r,n,i,u,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var f=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,At.ReadOnly);an(e,r,n,i,f,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){var a=new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))on(t,e,r,n,a,Mt.disabled,St.disabled),on(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();on(t,e,r,n,a,Mt.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,At.ReadOnly),s=t.colorModeForRenderPass(),l=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],c=l[0],u=0,f=l[1];u<f.length;u+=1){var h=f[u],p=e.getTile(h);p.needsHillshadePrepare&&\"offscreen\"===t.renderPass?ln(t,p,r,a,o,Mt.disabled,s):\"translucent\"===t.renderPass&&sn(t,p,r,o,c[h.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),c=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),u=c[0],f=c[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,m=f;d<m.length;d+=1){var g=m[d],v=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?At.ReadWrite:At.ReadOnly,a.LESS),y=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);y.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(g,0),_=cn(y,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-y.tileID.overscaledZ),T=[y.tileID.canonical.x*w%1,y.tileID.canonical.y*w%1]):y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Vr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,v,Mt.disabled,l,Et.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,v,u[g.overscaledZ],l,Et.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),i=r.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,c=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===u){var f=Mt.disabled,h=t.depthModeForSublayer(0,\"opaque\"===u?At.ReadWrite:At.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\"backgroundPattern\":\"background\"),m=s.coveringTiles({tileSize:l});c&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),v=0,y=m;v<y.length;v+=1){var x=y[v],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?Zr(b,i,t,c,{tileID:x,tileSize:l},g):Xr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)xn(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Mt.disabled);var o=\"3d\"===i.renderingMode?new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,At.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},_n=function(t,e){this.context=new Lt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ct.maxUnderzooming+Ct.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ne,this.gpuTimers={}};_n.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},_n.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Ge.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Ge.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Ge.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Mt({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},_n.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,At.disabled,this.stencilClearMode,St.disabled,Et.disabled,Or(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},_n.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(At.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,At.disabled,new Mt({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Or(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},_n.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Mt({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Mt({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Mt({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Mt.disabled,e),n]},_n.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){return new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?St.unblended:St.alphaBlended},_n.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return At.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new At(r||this.context.gl.LEQUAL,e,[n,n])},_n.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},_n.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,c,u={},f={},h={};for(var p in a){var d=a[p];u[p]=d.getVisibleCoordinates(),f[p]=u[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var m=0;m<i.length;m++){var g=i[m];if(this.style._layers[g].is3D()){this.opaquePassCutoff=m;break}}this.renderPass=\"offscreen\";for(var v=0,y=i;v<y.length;v+=1){var x=y[v],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];(\"custom\"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=u[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=(\"symbol\"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,u[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&bn.debug(this,l,l.getVisibleCoordinates()));this.options.showPadding&&mn(this),this.context.setDefault()},_n.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),bn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},_n.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},_n.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},_n.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},_n.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},_n.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[a?n[0]:pe(r,n[0],this.transform.zoom),a?n[1]:pe(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},_n.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},_n.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},_n.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},_n.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new _r(this.context,xr[t],e,Jr[t],this._showOverdrawInspector)),this.cache[r]},_n.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},_n.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},_n.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},_n.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var wn=function(t,e){this.points=t,this.planes=e};wn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new wn(a,o)};var Tn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Tn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new Tn(n,i)},Tn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Tn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Tn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];c=Math.min(c,h),u=Math.max(u,h)}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var kn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};kn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},kn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},kn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},kn.prototype.clone=function(){return new kn(this.top,this.bottom,this.left,this.right)},kn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var An=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new kn,this._posMatrixCache={},this._alignedPosMatrixCache={}},Mn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};An.prototype.clone=function(){var t=new An(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Mn.minZoom.get=function(){return this._minZoom},Mn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Mn.maxZoom.get=function(){return this._maxZoom},Mn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Mn.minPitch.get=function(){return this._minPitch},Mn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Mn.maxPitch.get=function(){return this._maxPitch},Mn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Mn.renderWorldCopies.get=function(){return this._renderWorldCopies},Mn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Mn.worldSize.get=function(){return this.tileSize*this.scale},Mn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Mn.size.get=function(){return new t.Point(this.width,this.height)},Mn.bearing.get=function(){return-this.angle/Math.PI*180},Mn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Mn.pitch.get=function(){return this._pitch/Math.PI*180},Mn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Mn.fov.get=function(){return this._fov/Math.PI*180},Mn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Mn.zoom.get=function(){return this._zoom},Mn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Mn.center.get=function(){return this._center},Mn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Mn.padding.get=function(){return this._edgeInsets.toJSON()},Mn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Mn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},An.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},An.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},An.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},An.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},An.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=wn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new Tn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var m=u.pop(),g=m.x,v=m.y,y=m.fullyVisible;if(!y){var x=m.aabb.intersects(s);if(0===x)continue;y=2===x}var b=m.aabb.distanceX(o),_=m.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-m.zoom)-2;if(m.zoom===h||w>T&&m.zoom>=l)f.push({tileID:new t.OverscaledTileID(m.zoom===h?p:m.zoom,m.wrap,m.zoom,g,v),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-v])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(v<<1)+(k>>1);u.push({aabb:m.aabb.quadrant(k),zoom:m.zoom+1,x:A,y:M,wrap:m.wrap,fullyVisible:y})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},An.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Mn.unmodified.get=function(){return this._unmodified},An.prototype.zoomScale=function(t){return Math.pow(2,t)},An.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},An.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},An.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Mn.point.get=function(){return this.project(this.center)},An.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},An.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},An.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},An.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},An.prototype.coordinateLocation=function(t){return t.toLngLat()},An.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,c=n[1]/a,u=r[2]/i,f=n[2]/a,h=u===f?0:(0-u)/(f-u);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,c,h)/this.worldSize)},An.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},An.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},An.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},An.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},An.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},An.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},An.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<c.y?c.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var m=p.y,g=c.y/2;m-g<a&&(i=a+g),m+g>o&&(i=o-g)}if(this.lngRange){var v=p.x,y=c.x/2;v-y<s&&(n=s+y),v+y>l&&(n=l-y)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},An.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,c=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),u=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,u,c),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),m=Math.sin(this.angle),g=s-Math.round(s)+d*h+m*p,v=l-Math.round(l)+d*p+m*h,y=new Float64Array(f);if(t.translate(y,y,[g>.5?g-1:g,v>.5?v-1:v,0]),this.alignedProjMatrix=y,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},An.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},An.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},An.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(An.prototype,Mn);var Sn=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};Sn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},Sn.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Sn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),c=this._map.getPitch(),u=\"\";if(u+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||c)&&(u+=\"/\"+Math.round(10*l)/10),c&&(u+=\"/\"+Math.round(c)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===f?(h=!0,e+\"=\"+u):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+u),\"#\"+p.join(\"&\")}return\"#\"+u},Sn.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},Sn.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},Sn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var En={linearity:.3,easing:t.bezier(0,0,.3,1)},Ln=t.extend({deceleration:2500,maxSpeed:1400},En),Cn=t.extend({deceleration:20,maxSpeed:1400},En),Pn=t.extend({deceleration:1e3,maxSpeed:360},En),In=t.extend({deceleration:1e3,maxSpeed:90},En),On=function(t){this._map=t,this.clear()};function zn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Dn(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}On.prototype.clear=function(){this._inertiaBuffer=[]},On.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},On.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},On.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Dn(r.pan.mag(),o,t.extend({},Ln,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,zn(s,l)}if(r.zoom){var c=Dn(r.zoom,o,Cn);s.zoom=this._map.transform.zoom+c.amount,zn(s,c)}if(r.bearing){var u=Dn(r.bearing,o,Pn);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),zn(s,u)}if(r.pitch){var f=Dn(r.pitch,o,In);s.pitch=this._map.transform.pitch+f.amount,zn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Rn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Fn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=i.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Bn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Nn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Nn.prototype.reset=function(){delete this._mousedownPos},Nn.prototype.wheel=function(t){return this._firePreventable(new Bn(t.type,this._map,t))},Nn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseup=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.dblclick=function(t){return this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseover=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.mouseout=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.touchstart=function(t){return this._firePreventable(new Fn(t.type,this._map,t))},Nn.prototype.touchmove=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchend=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchcancel=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Nn.prototype.isEnabled=function(){return!0},Nn.prototype.isActive=function(){return!1},Nn.prototype.enable=function(){},Nn.prototype.disable=function(){};var jn=function(t){this._map=t};jn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},jn.prototype.mousemove=function(t){this._map.fire(new Rn(t.type,this._map,t))},jn.prototype.mousedown=function(){this._delayContextMenu=!0},jn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Rn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},jn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Rn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},jn.prototype.isEnabled=function(){return!0},jn.prototype.isActive=function(){return!1},jn.prototype.enable=function(){},jn.prototype.disable=function(){};var Un=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Vn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Un.prototype.isEnabled=function(){return!!this._enabled},Un.prototype.isActive=function(){return!!this._active},Un.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Un.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Un.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Un.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+s+\"px)\"),this._box.style.width=o-a+\"px\",this._box.style.height=l-s+\"px\"}}},Un.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Un.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Un.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Un.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Hn=function(t){this.reset(),this.numTouches=t.numTouches};Hn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Hn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Vn(n,r)))},Hn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Vn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Hn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var qn=function(t){this.singleTap=new Hn(t),this.numTaps=t.numTaps,this.reset()};qn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},qn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},qn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},qn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Gn=function(){this._zoomIn=new qn({numTouches:1,numTaps:2}),this._zoomOut=new qn({numTouches:2,numTaps:1}),this.reset()};Gn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Gn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Gn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Gn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Gn.prototype.touchcancel=function(){this.reset()},Gn.prototype.enable=function(){this._enabled=!0},Gn.prototype.disable=function(){this._enabled=!1,this.reset()},Gn.prototype.isEnabled=function(){return this._enabled},Gn.prototype.isActive=function(){return this._active};var Yn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Yn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Yn.prototype._correctButton=function(t,e){return!1},Yn.prototype._move=function(t,e){return{}},Yn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Yn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Yn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Yn.prototype.enable=function(){this._enabled=!0},Yn.prototype.disable=function(){this._enabled=!1,this.reset()},Yn.prototype.isEnabled=function(){return this._enabled},Yn.prototype.isActive=function(){return this._active};var Wn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Yn),Xn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Zn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Jn=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};Jn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},Jn.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},Jn.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},Jn.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Vn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var Kn=function(){this.reset()};function Qn(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}Kn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Kn.prototype._start=function(t){},Kn.prototype._move=function(t,e,r){return{}},Kn.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},Kn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=Qn(r,e,i),s=Qn(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},Kn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=Qn(n,e,a),l=Qn(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},Kn.prototype.touchcancel=function(){this.reset()},Kn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},Kn.prototype.disable=function(){this._enabled=!1,this.reset()},Kn.prototype.isEnabled=function(){return this._enabled},Kn.prototype.isActive=function(){return this._active};function $n(t,e){return Math.log(t/e)/Math.LN2}var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs($n(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:$n(this._distance,r),pinchAround:e}},e}(Kn);function ei(t,e){return 180*t.angleWith(e)/Math.PI}var ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:ei(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=ei(t,this._startVector);return Math.abs(r)<e},e}(Kn);function ni(t){return Math.abs(t.y)>Math.abs(t.x)}var ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ni(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid){this._lastPoints=t,this._active=!0;return{pitchDelta:-.5*((n.y+i.y)/2)}}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ni(t)&&ni(e)&&a}},e}(Kn),ai={panStep:100,bearingStep:15,pitchStep:10},oi=function(){var t=ai;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function si(t){return t*(2-t)}oi.prototype.reset=function(){this._active=!1},oi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:si,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},oi.prototype.enable=function(){this._enabled=!0},oi.prototype.disable=function(){this._enabled=!1,this.reset()},oi.prototype.isEnabled=function(){return this._enabled},oi.prototype.isActive=function(){return this._active};var li=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};li.prototype.setZoomRate=function(t){this._defaultZoomRate=t},li.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},li.prototype.isEnabled=function(){return!!this._enabled},li.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},li.prototype.isZooming=function(){return!!this._zooming},li.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},li.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},li.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},li.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},li.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},li.prototype.renderFrame=function(){return this._onScrollFrame()},li.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=c(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},li.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},li.prototype.reset=function(){this._active=!1};var ci=function(t,e){this._clickZoom=t,this._tapZoom=e};ci.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},ci.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},ci.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},ci.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var ui=function(){this.reset()};ui.prototype.reset=function(){this._active=!1},ui.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},ui.prototype.enable=function(){this._enabled=!0},ui.prototype.disable=function(){this._enabled=!1,this.reset()},ui.prototype.isEnabled=function(){return this._enabled},ui.prototype.isActive=function(){return this._active};var fi=function(){this._tap=new qn({numTouches:1,numTaps:1}),this.reset()};fi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},fi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},fi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},fi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},fi.prototype.touchcancel=function(){this.reset()},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var hi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};hi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},hi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},hi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},hi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var pi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};pi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},pi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},pi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},pi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var di=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};di.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},di.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},di.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},di.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},di.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},di.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var mi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function vi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var yi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new On(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!1}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1],u=s[2];r.addEventListener(l,c,l===t.window.document?this.handleWindowEvent:this.handleEvent,u)}};yi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},yi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Nn(e,t));var n=e.boxZoom=new Un(e,t);this._add(\"boxZoom\",n);var i=new Gn,a=new ui;e.doubleClickZoom=new ci(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new fi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new ii;this._add(\"touchPitch\",s);var l=new Xn(t),c=new Zn(t);e.dragRotate=new pi(t,l,c),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",c,[\"mouseRotate\"]);var u=new Wn(t),f=new Jn(t);e.dragPan=new hi(r,u,f),this._add(\"mousePan\",u),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new ri,p=new ti;e.touchZoomRotate=new di(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new li(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var m=e.keyboard=new oi;this._add(\"keyboard\",m),this._add(\"blockableMapEvent\",new jn(e));for(var g=0,v=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];g<v.length;g+=1){var y=v[g];t.interactive&&t[y]&&e[y].enable(t[y])}},yi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},yi.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1){e[t].handler.reset()}this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},yi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1){if(e[t].handler.isActive())return!0}return!1},yi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},yi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},yi.prototype.isMoving=function(){return Boolean(mi(this._eventsInProgress))||this.isZooming()},yi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},yi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},yi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},yi.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var f=u[c],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var m=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(m=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,m,h,n),m&&m.needsRenderFrame&&this._triggerRenderFrame()),(m||p.isActive())&&(o[h]=p)}}var g={};for(var v in this._previousActiveHandlers)o[v]||(g[v]=n);this._previousActiveHandlers=o,(Object.keys(g).length||vi(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||vi(i))&&this._map._stop(!0),this._updatingCamera=!1;var y=i.cameraAnimation;y&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],y(this._map))}else this.stop()},yi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},yi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],c=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,c)}this._updateMapTransform(e,r,n),this._changes=[]},yi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!vi(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),n._stop(!0),c=c||n.transform.centerPoint;var f=i.pointLocation(a?c.sub(a):c);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},yi.prototype._fireEvents=function(e,r){var n=this,i=mi(this._eventsInProgress),a=mi(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+\"start\"]=l),this._eventsInProgress[s]=e[s]}for(var c in!i&&a&&this._fireEvent(\"movestart\",a.originalEvent),o)this._fireEvent(c,o[c]);for(var u in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent(\"move\",a.originalEvent),e){var f=e[u].originalEvent;this._fireEvent(u,f)}var h,p={};for(var d in this._eventsInProgress){var m=this._eventsInProgress[d],g=m.handlerName,v=m.originalEvent;this._handlersById[g].isActive()||(delete this._eventsInProgress[d],h=r[g]||v,p[d+\"end\"]=h)}for(var y in p)this._fireEvent(y,p[y]);var x=mi(this._eventsInProgress);if((i||a)&&!x){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};b?(_(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:h})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:h})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},yi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},yi.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new gi(\"renderFrame\",{timeStamp:e})),t._applyChanges()})))};var xi=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),f=c.rotate(-n*Math.PI/180),h=u.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),m=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/m.x,v=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/m.y;if(!(v<0||g<0)){var y=Math.min(s.scaleZoom(s.scale*Math.min(g,v)),i.maxZoom),x=t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(x.x+b,x.y+_).mult(s.scale/s.zoomScale(y));return{center:s.unproject(c.add(u).div(2).sub(w)),zoom:y,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c=\"zoom\"in e?+e.zoom:a,u=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,f=\"pitch\"in e?+e.pitch:s,h=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),m=i.pointLocation(d),g=t.LngLat.convert(e.center||m);this._normalizeCenter(g);var v,y,x=i.project(m),b=i.project(g).sub(x),_=i.zoomScale(c-a);e.around&&(v=t.LngLat.convert(e.around),y=i.locationPoint(v));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==a,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,c,e)),n._rotating&&(i.bearing=t.number(o,u,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),v)i.setLocationAtPoint(v,y);else{var m=i.zoomScale(i.zoom-a),g=c>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(m));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(u-o),m=t.Point.convert(e.offset),g=a.centerPoint.add(m),v=a.pointLocation(g),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=a.project(v),b=a.project(y).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),I=function(t){return C(P)/C(P+_*t)},O=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},z=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(z)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;z=Math.abs(Math.log(T/w))/_,O=function(){return 0},I=function(t){return Math.exp(D*_*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*z/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*z,d=1/I(i);a.zoom=1===e?u:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(c,p,e),g=a.centerPoint.add(m));var v=1===e?y:a.unproject(x.add(b.mult(O(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?v.wrap():v,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),bi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};bi.prototype.getDefaultPosition=function(){return\"bottom-right\"},bi.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},bi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},bi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\"}},bi.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},bi.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},bi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var _i=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};_i.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},_i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},_i.prototype.getDefaultPosition=function(){return\"bottom-left\"},_i.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},_i.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t){if(t[e].getSource().mapbox_logo)return!0}return!1}},_i.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var wi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};wi.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},wi.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},wi.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},wi.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Ti={\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},ki=t.window.HTMLImageElement,Ai=t.window.HTMLElement,Mi=t.window.ImageBitmap,Si={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Ei=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Si,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new An(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new wi,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Ti,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof Ai))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),this.handlers=new yi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new Sn(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new bi({customAttribution:e.customAttribution})),this.addControl(new _i,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?60:t)>60)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Rn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Rn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Rn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new qe(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new qe(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof ki||Mi&&r instanceof Mi){var c=t.browser.getImageData(r),u=c.width,f=c.height,h=c.data;this.style.addImage(e,{data:new t.RGBAImage({width:u,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var p=r.width,d=r.height,m=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(m)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof ki||Mi&&r instanceof Mi?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var l=!(r instanceof ki||Mi&&r instanceof Mi);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)}))},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new _n(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=!0,this._crossFadingFactor=u),this.style.update(c)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event(\"idle\"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1){r[e].onRemove(this)}this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext(),Li(this._canvasContainer),Li(this._controlContainer),Li(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(xi);function Li(t){t.parentNode&&t.parentNode.removeChild(t)}var Ci={showCompass:!0,showZoom:!0,visualizePitch:!1},Pi=function(e){var n=this;this.options=t.extend({},Ci,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};Pi.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Pi.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},Pi.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ii(this._map,this._compass,this.options.visualizePitch)),this._container},Pi.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Pi.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},Pi.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ii=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Xn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new Zn({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function Oi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ii.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ii.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ii.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ii.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ii.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ii.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ii.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ii.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ii.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var zi={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Di(t,e,r){var n=t.classList;for(var i in zi)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Ri,Fi=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");o.setAttributeNS(null,\"display\",\"block\"),o.setAttributeNS(null,\"height\",\"41px\"),o.setAttributeNS(null,\"width\",\"27px\"),o.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"stroke\",\"none\"),s.setAttributeNS(null,\"stroke-width\",\"1\"),s.setAttributeNS(null,\"fill\",\"none\"),s.setAttributeNS(null,\"fill-rule\",\"evenodd\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"fill-rule\",\"nonzero\");var c=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");c.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),c.setAttributeNS(null,\"fill\",\"#000000\");for(var u=0,f=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];u<f.length;u+=1){var h=f[u],p=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");p.setAttributeNS(null,\"opacity\",\"0.04\"),p.setAttributeNS(null,\"cx\",\"10.5\"),p.setAttributeNS(null,\"cy\",\"5.80029008\"),p.setAttributeNS(null,\"rx\",h.rx),p.setAttributeNS(null,\"ry\",h.ry),c.appendChild(p)}var d=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"fill\",this._color);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");m.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),d.appendChild(m);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");g.setAttributeNS(null,\"opacity\",\"0.25\"),g.setAttributeNS(null,\"fill\",\"#000000\");var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),g.appendChild(v);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");x.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#000000\"),b.setAttributeNS(null,\"opacity\",\"0.25\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\");var _=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_.setAttributeNS(null,\"fill\",\"#FFFFFF\"),_.setAttributeNS(null,\"cx\",\"5.5\"),_.setAttributeNS(null,\"cy\",\"5.5\"),_.setAttributeNS(null,\"r\",\"5.4999962\"),x.appendChild(b),x.appendChild(_),l.appendChild(c),l.appendChild(d),l.appendChild(g),l.appendChild(y),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),this._element.addEventListener(\"focus\",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Di(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[e,-1*(24.6+e)],\"bottom-right\":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,zi[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\"))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Bi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Ni=0,ji=!1,Ui=function(e){function n(r){e.call(this),this.options=t.extend({},Bi,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Ri?n(Ri):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Ri=\"denied\"!==t.state,n(Ri)})):(Ri=!!t.window.navigator.geolocation,n(Ri)),this._container},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Ni=0,ji=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&ji)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Fi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Fi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Ni--,ji=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Ni>1?(e={maximumAge:6e5,timeout:0},ji=!0):(e=this.options.positionOptions,ji=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Vi={maxWidth:100,unit:\"metric\"},Hi=function(e){this.options=t.extend({},Vi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;if(l>5280)Gi(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\"));else Gi(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else if(r&&\"nautical\"===r.unit){Gi(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\"))}else s>=1e3?Gi(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):Gi(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function Gi(t,e,r,n){var i,a,o,s=(i=r,a=Math.pow(10,(\"\"+Math.floor(i)).length-1),o=(o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o),a*o),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}Hi.prototype.getDefaultPosition=function(){return\"bottom-left\"},Hi.prototype._onMove=function(){qi(this._map,this._container,this.options)},Hi.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},Hi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Hi.prototype.setUnit=function(t){this.options.unit=t,qi(this._map,this._container,this.options)};var Yi=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};Yi.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Yi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Yi.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Yi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Yi.prototype._isFullscreen=function(){return this._fullscreen},Yi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},Yi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Wi={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Xi=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Wi),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this,i=this._lngLat||this._trackPointer;if(this._map&&i&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return n._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),o=this.options.anchor,s=function e(r){if(r){if(\"number\"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),\"top-left\":new t.Point(n,n),\"top-right\":new t.Point(-n,n),bottom:new t.Point(0,-r),\"bottom-left\":new t.Point(n,-n),\"bottom-right\":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var i=t.Point.convert(r);return{center:i,top:i,\"top-left\":i,\"top-right\":i,bottom:i,\"bottom-left\":i,\"bottom-right\":i,left:i,right:i}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),\"top-left\":t.Point.convert(r[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(r[\"top-right\"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),\"bottom-left\":t.Point.convert(r[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(r[\"bottom-right\"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!o){var l,c=this._container.offsetWidth,u=this._container.offsetHeight;l=a.y+s.bottom.y<u?[\"top\"]:a.y>this._map.transform.height-u?[\"bottom\"]:[],a.x<c/2?l.push(\"left\"):a.x>this._map.transform.width-c/2&&l.push(\"right\"),o=0===l.length?\"bottom\":l.join(\"-\")}var f=a.add(s[o]).round();r.setTransform(this._container,zi[o]+\" translate(\"+f.x+\"px,\"+f.y+\"px)\"),Di(this._container,o,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);var Zi={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ei,NavigationControl:Pi,GeolocateControl:Ui,AttributionControl:bi,ScaleControl:Hi,FullscreenControl:Yi,Popup:Xi,Marker:Fi,Style:qe,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(zt)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(zt),Rt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Dt.workerCount},set workerCount(t){Dt.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return Zi})),r}))},{}],240:[function(t,e,r){\"use strict\";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],241:[function(t,e,r){\"use strict\";e.exports=function(t,e){e||(e=t,t=window);var r=0,i=0,a=0,o={shift:!1,alt:!1,control:!1,meta:!1},s=!1;function l(t){var e=!1;return\"altKey\"in t&&(e=e||t.altKey!==o.alt,o.alt=!!t.altKey),\"shiftKey\"in t&&(e=e||t.shiftKey!==o.shift,o.shift=!!t.shiftKey),\"ctrlKey\"in t&&(e=e||t.ctrlKey!==o.control,o.control=!!t.ctrlKey),\"metaKey\"in t&&(e=e||t.metaKey!==o.meta,o.meta=!!t.metaKey),e}function c(t,s){var c=n.x(s),u=n.y(s);\"buttons\"in s&&(t=0|s.buttons),(t!==r||c!==i||u!==a||l(s))&&(r=0|t,i=c||0,a=u||0,e&&e(r,i,a,o))}function u(t){c(0,t)}function f(){(r||i||a||o.shift||o.alt||o.meta||o.control)&&(i=a=0,r=0,o.shift=o.alt=o.control=o.meta=!1,e&&e(0,0,0,o))}function h(t){l(t)&&e&&e(r,i,a,o)}function p(t){0===n.buttons(t)?c(0,t):c(r,t)}function d(t){c(r|n.buttons(t),t)}function m(t){c(r&~n.buttons(t),t)}function g(){s||(s=!0,t.addEventListener(\"mousemove\",p),t.addEventListener(\"mousedown\",d),t.addEventListener(\"mouseup\",m),t.addEventListener(\"mouseleave\",u),t.addEventListener(\"mouseenter\",u),t.addEventListener(\"mouseout\",u),t.addEventListener(\"mouseover\",u),t.addEventListener(\"blur\",f),t.addEventListener(\"keyup\",h),t.addEventListener(\"keydown\",h),t.addEventListener(\"keypress\",h),t!==window&&(window.addEventListener(\"blur\",f),window.addEventListener(\"keyup\",h),window.addEventListener(\"keydown\",h),window.addEventListener(\"keypress\",h)))}g();var v={element:t};return Object.defineProperties(v,{enabled:{get:function(){return s},set:function(e){e?g():function(){if(!s)return;s=!1,t.removeEventListener(\"mousemove\",p),t.removeEventListener(\"mousedown\",d),t.removeEventListener(\"mouseup\",m),t.removeEventListener(\"mouseleave\",u),t.removeEventListener(\"mouseenter\",u),t.removeEventListener(\"mouseout\",u),t.removeEventListener(\"mouseover\",u),t.removeEventListener(\"blur\",f),t.removeEventListener(\"keyup\",h),t.removeEventListener(\"keydown\",h),t.removeEventListener(\"keypress\",h),t!==window&&(window.removeEventListener(\"blur\",f),window.removeEventListener(\"keyup\",h),window.removeEventListener(\"keydown\",h),window.removeEventListener(\"keypress\",h))}()},enumerable:!0},buttons:{get:function(){return r},enumerable:!0},x:{get:function(){return i},enumerable:!0},y:{get:function(){return a},enumerable:!0},mods:{get:function(){return o},enumerable:!0}}),v};var n=t(\"mouse-event\")},{\"mouse-event\":243}],242:[function(t,e,r){var n={left:0,top:0};e.exports=function(t,e,r){e=e||t.currentTarget||t.srcElement,Array.isArray(r)||(r=[0,0]);var i=t.clientX||0,a=t.clientY||0,o=(s=e,s===window||s===document||s===document.body?n:s.getBoundingClientRect());var s;return r[0]=i-o.left,r[1]=a-o.top,r}},{}],243:[function(t,e,r){\"use strict\";function n(t){return t.target||t.srcElement||window}r.buttons=function(t){if(\"object\"==typeof t){if(\"buttons\"in t)return t.buttons;if(\"which\"in t){if(2===(e=t.which))return 4;if(3===e)return 2;if(e>0)return 1<<e-1}else if(\"button\"in t){var e;if(1===(e=t.button))return 4;if(2===e)return 2;if(e>=0)return 1<<e}}return 0},r.element=n,r.x=function(t){if(\"object\"==typeof t){if(\"offsetX\"in t)return t.offsetX;var e=n(t).getBoundingClientRect();return t.clientX-e.left}return 0},r.y=function(t){if(\"object\"==typeof t){if(\"offsetY\"in t)return t.offsetY;var e=n(t).getBoundingClientRect();return t.clientY-e.top}return 0}},{}],244:[function(t,e,r){\"use strict\";var n=t(\"to-px\");e.exports=function(t,e,r){\"function\"==typeof t&&(r=!!e,e=t,t=window);var i=n(\"ex\",t),a=function(t){r&&t.preventDefault();var n=t.deltaX||0,a=t.deltaY||0,o=t.deltaZ||0,s=1;switch(t.deltaMode){case 1:s=i;break;case 2:s=window.innerHeight}if(a*=s,o*=s,(n*=s)||a||o)return e(n,a,o,t)};return t.addEventListener(\"wheel\",a),a}},{\"to-px\":314}],245:[function(t,e,r){(function(t,r){(function(){\n",
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-       "/*\n",
-       " * @copyright 2016 Sean Connelly (@voidqk), http://syntheti.cc\n",
-       " * @license MIT\n",
-       " * @preserve Project Home: https://github.com/voidqk/polybooljs\n",
-       " */\n",
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r=0,n=t[t.length-1][0],i=t[t.length-1][1],a=[],o=0;o<t.length;o++){var s=t[o][0],l=t[o][1];a.push([s,l]),r+=l*n-s*i,n=s,i=l}return r<0!==e&&a.reverse(),a.push([a[0][0],a[0][1]]),a}var u=[];function f(t){var e=[c(t.region,!1)];u.push(e);for(var r=0;r<t.children.length;r++)e.push(h(t.children[r]))}function h(t){for(var e=0;e<t.children.length;e++)f(t.children[e]);return c(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return u.length<=0?{type:\"Polygon\",coordinates:[]}:1==u.length?{type:\"Polygon\",coordinates:u[0]}:{type:\"MultiPolygon\",coordinates:u}}};e.exports=n},{}],258:[function(t,e,r){var n=t(\"./linked-list\");e.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return function(t,r,n,i,a,o){var s=e.pointsCompare(r,a);return 0!==s?s:e.pointsSame(n,o)?0:t!==i?t?1:-1:e.pointAboveOrOnLine(n,i?a:o,i?o:a)?1:-1}(t.isStart,t.pt,r,n.isStart,n.pt,n.other.pt)<0}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function c(i,o){var s=n.create();function c(t){return s.findTransition((function(r){var n,i,a,o,s,l;return(n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function u(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,c=a.start,u=a.end;r&&r.checkIntersection(i,a);var f=e.linesIntersect(o,s,c,u);if(!1===f){if(!e.pointsCollinear(o,s,c))return!1;if(e.pointsSame(o,u)||e.pointsSame(s,c))return!1;var h=e.pointsSame(o,c),p=e.pointsSame(s,u);if(h&&p)return n;var d=!h&&e.pointBetween(o,c,u),m=!p&&e.pointBetween(s,c,u);if(h)return m?l(n,s):l(t,u),n;d&&(p||(m?l(n,s):l(t,u)),l(n,o))}else 0===f.alongA&&(-1===f.alongB?l(t,c):0===f.alongB?l(t,f.pt):1===f.alongB&&l(t,u)),0===f.alongB&&(-1===f.alongA?l(n,o):0===f.alongA?l(n,f.pt):1===f.alongA&&l(n,s));return!1}for(var f=[];!a.isEmpty();){var h=a.getHead();if(r&&r.vert(h.pt[0]),h.isStart){r&&r.segmentNew(h.seg,h.primary);var p=c(h),d=p.before?p.before.ev:null,m=p.after?p.after.ev:null;function g(){if(d){var t=u(h,d);if(t)return t}return!!m&&u(h,m)}r&&r.tempStatus(h.seg,!!d&&d.seg,!!m&&m.seg);var v,y=g();if(y){var x;if(t)(x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(y.seg.myFill.above=!y.seg.myFill.above);else y.seg.otherFill=h.seg.myFill;r&&r.segmentUpdate(y.seg),h.other.remove(),h.remove()}if(a.getHead()!==h){r&&r.rewind(h.seg);continue}if(t)x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=m?m.seg.myFill.above:i,h.seg.myFill.above=x?!h.seg.myFill.below:h.seg.myFill.below;else if(null===h.seg.otherFill)v=m?h.primary===m.primary?m.seg.otherFill.above:m.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:v,below:v};r&&r.status(h.seg,!!d&&d.seg,!!m&&m.seg),h.other.status=p.insert(n.node({ev:h}))}else{var b=h.status;if(null===b)throw new Error(\"PolyBool: Zero-length segment detected; your epsilon is probably too small or too large\");if(s.exists(b.prev)&&s.exists(b.next)&&u(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var _=h.seg.myFill;h.seg.myFill=h.seg.otherFill,h.seg.otherFill=_}f.push(h.seg)}a.getHead().remove()}return r&&r.done(),f}return t?{addRegion:function(t){for(var n,i,a,o=t[t.length-1],l=0;l<t.length;l++){n=o,o=t[l];var c=e.pointsCompare(n,o);0!==c&&s((i=c<0?n:o,a=c<0?o:n,{id:r?r.segmentId():-1,start:i,end:a,myFill:{above:null,below:null},otherFill:null}),!0)}},calculate:function(t){return c(t,!1)}}:{calculate:function(t,e,r,n){return t.forEach((function(t){s(i(t.start,t.end,t),!0)})),r.forEach((function(t){s(i(t.start,t.end,t),!1)})),c(e,n)}}}},{\"./linked-list\":259}],259:[function(t,e,r){e.exports={create:function(){var t={root:{root:!0,next:null},exists:function(e){return null!==e&&e!==t.root},isEmpty:function(){return null===t.root.next},getHead:function(){return t.root.next},insertBefore:function(e,r){for(var n=t.root,i=t.root.next;null!==i;){if(r(i))return e.prev=i.prev,e.next=i,i.prev.next=e,void(i.prev=e);n=i,i=i.next}n.next=e,e.prev=n,e.next=null},findTransition:function(e){for(var r=t.root,n=t.root.next;null!==n&&!e(n);)r=n,n=n.next;return{before:r===t.root?null:r,after:n,insert:function(t){return t.prev=r,t.next=n,r.next=t,null!==n&&(n.prev=t),t}}}};return t},node:function(t){return t.prev=null,t.next=null,t.remove=function(){t.prev.next=t.next,t.next&&(t.next.prev=t.prev),t.prev=null,t.next=null},t}}},{}],260:[function(t,e,r){e.exports=function(t,e,r){var n=[],i=[];return t.forEach((function(t){var a=t.start,o=t.end;if(e.pointsSame(a,o))console.warn(\"PolyBool: Warning: Zero-length segment detected; your epsilon is probably too small or too large\");else{r&&r.chainStart(t);for(var s={index:0,matches_head:!1,matches_pt1:!1},l={index:0,matches_head:!1,matches_pt1:!1},c=s,u=0;u<n.length;u++){var f=(g=n[u])[0],h=(g[1],g[g.length-1]);g[g.length-2];if(e.pointsSame(f,a)){if(k(u,!0,!0))break}else if(e.pointsSame(f,o)){if(k(u,!0,!1))break}else if(e.pointsSame(h,a)){if(k(u,!1,!0))break}else if(e.pointsSame(h,o)&&k(u,!1,!1))break}if(c===s)return n.push([a,o]),void(r&&r.chainNew(a,o));if(c===l){r&&r.chainMatch(s.index);var p=s.index,d=s.matches_pt1?o:a,m=s.matches_head,g=n[p],v=m?g[0]:g[g.length-1],y=m?g[1]:g[g.length-2],x=m?g[g.length-1]:g[0],b=m?g[g.length-2]:g[1];return e.pointsCollinear(y,v,d)&&(m?(r&&r.chainRemoveHead(s.index,d),g.shift()):(r&&r.chainRemoveTail(s.index,d),g.pop()),v=y),e.pointsSame(x,d)?(n.splice(p,1),e.pointsCollinear(b,x,v)&&(m?(r&&r.chainRemoveTail(s.index,v),g.pop()):(r&&r.chainRemoveHead(s.index,v),g.shift())),r&&r.chainClose(s.index),void i.push(g)):void(m?(r&&r.chainAddHead(s.index,d),g.unshift(d)):(r&&r.chainAddTail(s.index,d),g.push(d)))}var _=s.index,w=l.index;r&&r.chainConnect(_,w);var T=n[_].length<n[w].length;s.matches_head?l.matches_head?T?(A(_),M(_,w)):(A(w),M(w,_)):M(w,_):l.matches_head?M(_,w):T?(A(_),M(w,_)):(A(w),M(_,w))}function k(t,e,r){return c.index=t,c.matches_head=e,c.matches_pt1=r,c===s?(c=l,!1):(c=null,!0)}function A(t){r&&r.chainReverse(t),n[t].reverse()}function M(t,i){var a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],c=o[0],u=o[1];e.pointsCollinear(l,s,c)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,c,u)&&(r&&r.chainRemoveHead(i,c),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},{}],261:[function(t,e,r){function n(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var i={union:function(t,e){return n(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],e)},intersect:function(t,e){return n(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],e)},difference:function(t,e){return n(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],e)},differenceRev:function(t,e){return n(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],e)},xor:function(t,e){return n(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],e)}};e.exports=i},{}],262:[function(t,e,r){\"use strict\";var n=t(\"stream\").Transform,i=t(\"stream-parser\");function a(){n.call(this,{readableObjectMode:!0})}function o(t,e,r){Error.call(this),Error.captureStackTrace?Error.captureStackTrace(this,this.constructor):this.stack=(new Error).stack||\"\",this.name=this.constructor.name,this.message=t,e&&(this.code=e),r&&(this.statusCode=r)}a.prototype=Object.create(n.prototype),a.prototype.constructor=a,i(a.prototype),r.ParserStream=a,r.sliceEq=function(t,e,r){for(var n=e,i=0;i<r.length;)if(t[n++]!==r[i++])return!1;return!0},r.str2arr=function(t,e){var r=[],n=0;if(e&&\"hex\"===e)for(;n<t.length;)r.push(parseInt(t.slice(n,n+2),16)),n+=2;else for(;n<t.length;n++)r.push(255&t.charCodeAt(n));return r},r.readUInt16LE=function(t,e){return t[e]|t[e+1]<<8},r.readUInt16BE=function(t,e){return t[e+1]|t[e]<<8},r.readUInt32LE=function(t,e){return t[e]|t[e+1]<<8|t[e+2]<<16|16777216*t[e+3]},r.readUInt32BE=function(t,e){return t[e+3]|t[e+2]<<8|t[e+1]<<16|16777216*t[e]},o.prototype=Object.create(Error.prototype),o.prototype.constructor=o,r.ProbeError=o},{stream:285,\"stream-parser\":301}],263:[function(t,e,r){\"use strict\";function n(t,e){var r=new Error(t);return r.code=e,r}function i(t){try{return decodeURIComponent(escape(t))}catch(e){return t}}function a(t,e,r){this.input=t.subarray(e,r),this.start=e;var i=String.fromCharCode.apply(null,this.input.subarray(0,4));if(\"II*\\0\"!==i&&\"MM\\0*\"!==i)throw n(\"invalid TIFF signature\",\"EBADDATA\");this.big_endian=\"M\"===i[0]}a.prototype.each=function(t){this.aborted=!1;var e=this.read_uint32(4);for(this.ifds_to_read=[{id:0,offset:e}];this.ifds_to_read.length>0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,t)}},a.prototype.read_uint16=function(t){var e=this.input;if(t+2>e.length)throw n(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?256*e[t]+e[t+1]:e[t]+256*e[t+1]},a.prototype.read_uint32=function(t){var e=this.input;if(t+4>e.length)throw n(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?16777216*e[t]+65536*e[t+1]+256*e[t+2]+e[t+3]:e[t]+256*e[t+1]+65536*e[t+2]+16777216*e[t+3]},a.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},a.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},a.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return r=this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return r=this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return r=this.read_uint32(e);case 9:return 0|(r=this.read_uint32(e));case 5:case 10:case 11:case 12:case 7:default:return null}},a.prototype.scan_ifd=function(t,e,r){var a=this.read_uint16(e);e+=2;for(var o=0;o<a;o++){var s=this.read_uint16(e),l=this.read_uint16(e+2),c=this.read_uint32(e+4),u=this.exif_format_length(l),f=c*u,h=f<=4?e+8:this.read_uint32(e+8),p=!1;if(h+f>this.input.length)throw n(\"unexpected EOF\",\"EBADDATA\");for(var d=[],m=h,g=0;g<c;g++,m+=u){var v=this.exif_format_read(l,m);if(null===v){d=null;break}d.push(v)}if(Array.isArray(d)&&2===l&&(d=i(String.fromCharCode.apply(null,d)))&&\"\\0\"===d[d.length-1]&&(d=d.slice(0,-1)),this.is_subifd_link(t,s)&&Array.isArray(d)&&Number.isInteger(d[0])&&d[0]>0&&(this.ifds_to_read.push({id:s,offset:d[0]}),p=!0),!1===r({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:c,entry_offset:e+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);e+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(e)})},e.exports.ExifParser=a,e.exports.get_orientation=function(t){var e=0;try{return new a(t,0,t.length).each((function(t){if(0===t.ifd&&274===t.tag&&Array.isArray(t.value))return e=t.value[0],!1})),e}catch(t){return-1}}},{}],264:[function(t,e,r){\"use strict\";var n=t(\"./common\").readUInt16BE,i=t(\"./common\").readUInt32BE;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return t.length<r+e||r<8?null:{boxtype:String.fromCharCode.apply(null,t.slice(e+4,e+8)),data:t.slice(e+8,e+r),end:e+r}}function o(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;switch(n.boxtype){case\"ispe\":e.sizes.push({width:i(n.data,4),height:i(n.data,8)});break;case\"irot\":e.transforms.push({type:\"irot\",value:3&n.data[0]});break;case\"imir\":e.transforms.push({type:\"imir\",value:1&n.data[0]})}r=n.end}}function s(t,e,r){for(var n=0,i=0;i<r;i++)n=256*n+(t[e+i]||0);return n}function l(t,e){for(var r=t[4]>>4&15,i=15&t[4],a=t[5]>>4&15,o=n(t,6),l=8,c=0;c<o;c++){var u=n(t,l),f=n(t,l+=2),h=s(t,l+=2,a),p=n(t,l+=a);if(l+=2,0===f&&1===p){var d=s(t,l,r),m=s(t,l+r,i);e.item_loc[u]={length:m,offset:d+h}}l+=p*(r+i)}}function c(t,e){for(var r=n(t,4),i=6,o=0;o<r;o++){var s=a(t,i);if(!s)break;if(\"infe\"===s.boxtype){for(var l=n(s.data,4),c=\"\",u=8;u<s.data.length&&s.data[u];u++)c+=String.fromCharCode(s.data[u]);e.item_inf[c]=l}i=s.end}}function u(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;\"ipco\"===n.boxtype&&o(n.data,e),r=n.end}}e.exports.unbox=a,e.exports.readSizeFromMeta=function(t){var e={sizes:[],transforms:[],item_inf:{},item_loc:{}};if(function(t,e){for(var r=4;;){var n=a(t,r);if(!n)break;\"iprp\"===n.boxtype&&u(n.data,e),\"iloc\"===n.boxtype&&l(n.data,e),\"iinf\"===n.boxtype&&c(n.data,e),r=n.end}}(t,e),e.sizes.length){var r,n,i,o=(r=e.sizes,n=r.reduce((function(t,e){return t.width>e.width||t.width===e.width&&t.height>e.height?t:e})),i=r.reduce((function(t,e){return t.height>e.height||t.height===e.height&&t.width>e.width?t:e})),n.width>i.height||n.width===i.height&&n.height>i.width?n:i),s=1;e.transforms.forEach((function(t){var e={1:6,2:5,3:8,4:7,5:4,6:3,7:2,8:1},r={1:4,2:3,3:2,4:1,5:6,6:5,7:8,8:7};if(\"imir\"===t.type&&(s=0===t.value?r[s]:e[s=e[s=r[s]]]),\"irot\"===t.type)for(var n=0;n<t.value;n++)s=e[s]}));var f=null;return e.item_inf.Exif&&(f=e.item_loc[e.item_inf.Exif]),{width:o.width,height:o.height,orientation:e.transforms.length?s:null,variants:e.sizes,exif_location:f}}},e.exports.getMimeType=function(t){var e=String.fromCharCode.apply(null,t.slice(0,4)),r={};r[e]=!0;for(var 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h=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},{\"array-bounds\":71,\"color-normalize\":89,\"flatten-vertex-data\":191,\"object-assign\":247,\"pick-by-alias\":253,\"to-float32\":313,\"update-diff\":329}],280:[function(t,e,r){\"use strict\";var n=t(\"color-normalize\"),i=t(\"array-bounds\"),a=t(\"object-assign\"),o=t(\"glslify\"),s=t(\"pick-by-alias\"),l=t(\"flatten-vertex-data\"),c=t(\"earcut\"),u=t(\"array-normalize\"),f=t(\"to-float32\"),h=f.float32,p=f.fract32,d=t(\"es6-weak-map\"),m=t(\"parse-rect\"),g=t(\"array-find-index\");function v(t,e){if(!(this instanceof v))return new v(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=v.shaders.has(t)?v.shaders.get(t):v.shaders.set(t,v.createShaders(t)).get(t),this.update(e)}e.exports=v,v.dashMult=2,v.maxPatternLength=256,v.precisionThreshold=3e6,v.maxPoints=1e4,v.maxLines=2048,v.shaders=new d,v.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashTexture:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashLength:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * 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t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>v.precisionThreshold||e.scale[1]*e.viewport.height>v.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=v.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},v.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,f){var d=e.passes[f];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin 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Uint8Array})},t=a({},v.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,f<v.maxLines&&(d.depth=2*(v.maxLines-1-f%v.maxLines)/v.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=m(t.viewport)),d.viewport||(d.viewport=m([o.drawingBufferWidth,o.drawingBufferHeight])),null!=t.close&&(d.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var y,x;if(t.positions.x&&t.positions.y){var b=t.positions.x,_=t.positions.y;x=d.count=Math.max(b.length,_.length),y=new Float64Array(2*x);for(var w=0;w<x;w++)y[2*w]=b[w],y[2*w+1]=_[w]}else y=l(t.positions,\"float64\"),x=d.count=Math.floor(y.length/2);var T=d.bounds=i(y,2);if(d.fill){for(var k=[],A={},M=0,S=0,E=0,L=d.count;S<L;S++){var C=y[2*S],P=y[2*S+1];isNaN(C)||isNaN(P)||null==C||null==P?(C=y[2*M],P=y[2*M+1],A[S]=M):M=S,k[E++]=C,k[E++]=P}if(t.splitNull){d.count-1 in A||(A[d.count]=d.count-1);var I=Object.keys(A).map(Number).sort((function(t,e){return t-e})),O=[],z=0,D=null!=d.hole?d.hole[0]:null;if(null!=D){var R=g(I,(function(t){return t>=D}));(I=I.slice(0,R)).push(D)}for(var F=function(t){var e=k.slice(2*z,2*I[t]).concat(D?k.slice(2*D):[]),r=(d.hole||[]).map((function(e){return e-D+(I[t]-z)})),n=c(e,r);n=n.map((function(e){return e+z+(e+z<I[t]?0:D-I[t])})),O.push.apply(O,n),z=I[t]+1},B=0;B<I.length;B++)F(B);for(var N=0,j=O.length;N<j;N++)null!=A[O[N]]&&(O[N]=A[O[N]]);d.triangles=O}else{for(var U=c(k,d.hole||[]),V=0,H=U.length;V<H;V++)null!=A[U[V]]&&(U[V]=A[U[V]]);d.triangles=U}}var q=new Float64Array(y);u(q,2,T);var G=new 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at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*v.dashMult*.5;ot<st;++ot)$[rt++]=nt;nt^=255}}d.dashLength=tt,d.dashTexture({channels:1,data:$,width:$.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=d.count,ct=t.color;ct||(ct=\"transparent\");var ut=new Uint8Array(4*lt+4);if(Array.isArray(ct)&&\"number\"!=typeof ct[0]){for(var ft=0;ft<lt;ft++){var ht=n(ct[ft],\"uint8\");ut.set(ht,4*ft)}ut.set(n(ct[0],\"uint8\"),4*lt)}else for(var pt=n(ct,\"uint8\"),dt=0;dt<lt+1;dt++)ut.set(pt,4*dt);d.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ut})}}else e.passes[f]=null})),t.length<this.passes.length){for(var f=t.length;f<this.passes.length;f++){var d=this.passes[f];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var y=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&y.push(this.passes[x]);return this.passes=y,this}},v.prototype.destroy=function(){return 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o={uniforms:{constPointSize:!!e.constPointSize,opacity:t.prop(\"opacity\"),paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},pixelRatio:t.context(\"pixelRatio\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),markerTexture:t.prop(\"markerTexture\"),paletteTexture:n},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return 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mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pointSizeScale;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\"]),this.drawMarker=t(s);var l=f({},o);l.frag=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nuniform float opacity;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),g&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}b.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},b.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},b.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},b.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if(\"number\"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var a=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&a.push.apply(a,i(this.getMarkerDrawOptions(o,n,e)));a.length&&this.drawMarker(a)}},b.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;this.regl;if(!a)return r?[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var u=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),m=0;m<r.length;m++){var g=r[m];d[g]=p?p[g]:1}l.subdata(d)}for(var v=h.length;v--;){var y=n(h[v],2),x=y[0],b=y[1];u.push(f({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return u},b.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,s=this.maxSize,c=this.maxColors,h=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=p(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=f({},b.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var g=0,x=0;if(d(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=b.defaults.size),g+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=b.defaults.borderSize),g+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=b.defaults.color),e=t.updateColor(e),x++,e},borderColor:function(e,r){return null==e&&(e=b.defaults.borderColor),e=t.updateColor(e),x++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,s=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=m(t,\"float64\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?l(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(h):e.elements=o.elements(h)}var p=v.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:v.fract32(t,p),usage:\"dynamic\"}),s({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&\"number\"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var c=t.addMarker(e[s]);a[c]||(a[c]=new Uint8Array(r.count)),a[c][s]=1}for(var u=0;u<a.length;u++)if(a[u]){var f={data:a[u],type:\"uint8\",usage:\"static\"};i[u]?i[u](f):i[u]=o.buffer(f),i[u].data=a[u]}}else{i[t.addMarker(e)]=!0}return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=v.fract(e.scale),e.translateFract=v.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),g){var _=n,w=_.count,T=_.size,k=_.borderSize,A=_.sizeBuffer,M=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/s),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/s);A({data:M,usage:\"dynamic\"})}if(x){var E,L=n,C=L.count,P=L.color,I=L.borderColor,O=L.colorBuffer;if(t.tooManyColors){if(P.length||I.length){E=new Uint8Array(8*C);for(var z=0;z<C;z++){var D=P[z];E[8*z]=h[4*D],E[8*z+1]=h[4*D+1],E[8*z+2]=h[4*D+2],E[8*z+3]=h[4*D+3];var R=I[z];E[8*z+4]=h[4*R],E[8*z+5]=h[4*R+1],E[8*z+6]=h[4*R+2],E[8*z+7]=h[4*R+3]}}}else if(P.length||I.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%c,E[4*F+1]=Math.floor(P[F]/c)),null!=I[F]&&(E[4*F+2]=I[F]%c,E[4*F+3]=Math.floor(I[F]/c))}O({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},b.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),a},b.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\"number\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var o=0;o<t.length;o+=4)a.push(t.slice(o,o+4));else for(var l=0;l<t.length;l+=4)a.push(t.subarray(l,l+4));t=a}for(var u=0;u<t.length;u++){var f=t[u];f=s(f,\"uint8\");var h=c(f,!1);if(null==e[h]){var p=r.length;e[h]=Math.floor(p/4),r[p]=f[0],r[p+1]=f[1],r[p+2]=f[2],r[p+3]=f[3]}i[u]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},b.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},b.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var _=t(\"object-assign\");e.exports=function(t,e){var r=new x(t,e),n=r.render.bind(r);return _(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},{\"@plotly/point-cluster\":59,\"array-bounds\":71,\"color-id\":87,\"color-normalize\":89,\"flatten-vertex-data\":191,glslify:227,\"is-iexplorer\":233,\"object-assign\":247,\"parse-rect\":249,\"pick-by-alias\":253,\"to-float32\":313,\"update-diff\":329}],282:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),i=t(\"pick-by-alias\"),a=t(\"array-bounds\"),o=t(\"raf\"),s=t(\"array-range\"),l=t(\"parse-rect\"),c=t(\"flatten-vertex-data\");function u(t,e){if(!(this instanceof u))return new u(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function f(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function h(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x+s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y+l.height),[a,n,o,i]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}e.exports=u,u.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},u.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,c=0;c<l.length;c++)i.push(this.passes[l[c]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},u.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:\"data items columns rows values dimensions samples x\",snap:\"snap cluster\",size:\"sizes size radius\",color:\"colors color fill fill-color fillColor\",opacity:\"opacity alpha transparency opaque\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",borderColor:\"borderColors borderColor bordercolor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range ranges databox dataBox\",viewport:\"viewport viewBox viewbox\",domain:\"domain domains area areas\",padding:\"pad padding paddings pads margin margins\",transpose:\"transpose transposed\",diagonal:\"diagonal diag showDiagonal\",upper:\"upper up top upperhalf upperHalf showupperhalf showUpper showUpperHalf\",lower:\"lower low bottom lowerhalf lowerHalf showlowerhalf showLowerHalf showLower\"}),s=this.traces[t]||(this.traces[t]={id:t,buffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),color:\"black\",marker:null,size:12,borderColor:\"transparent\",borderSize:1,viewport:l([r._gl.drawingBufferWidth,r._gl.drawingBufferHeight]),padding:[0,0,0,0],opacity:1,diagonal:!0,upper:!0,lower:!0});if(null!=o.color&&(s.color=o.color),null!=o.size&&(s.size=o.size),null!=o.marker&&(s.marker=o.marker),null!=o.borderColor&&(s.borderColor=o.borderColor),null!=o.borderSize&&(s.borderSize=o.borderSize),null!=o.opacity&&(s.opacity=o.opacity),o.viewport&&(s.viewport=l(o.viewport)),null!=o.diagonal&&(s.diagonal=o.diagonal),null!=o.upper&&(s.upper=o.upper),null!=o.lower&&(s.lower=o.lower),o.data){s.buffer(c(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var u=0;u<s.columns;u++)s.bounds[u]=a(o.data[u],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var m=s.columns,g=s.count,v=s.viewport.width,y=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=v/m,w=y/m;s.passes=[];for(var T=0;T<m;T++)for(var k=0;k<m;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=f(s.id,T,k),M=this.passes[A]||(this.passes[A]={});if(o.data&&(o.transpose?M.positions={x:{buffer:s.buffer,offset:k,count:g,stride:m},y:{buffer:s.buffer,offset:T,count:g,stride:m}}:M.positions={x:{buffer:s.buffer,offset:k*g,count:g},y:{buffer:s.buffer,offset:T*g,count:g}},M.bounds=h(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?h(s.padding,T,k):s.padding;if(s.domain){var E=h(s.domain,T,k),L=E[0],C=E[1],P=E[2],I=E[3];M.viewport=[x+L*v+S[0],b+C*y+S[1],x+P*v-S[2],b+I*y-S[3]]}else M.viewport=[x+k*_+_*S[0],b+T*w+w*S[1],x+(k+1)*_-_*S[2],b+(T+1)*w-w*S[3]]}o.color&&(M.color=s.color),o.size&&(M.size=s.size),o.marker&&(M.marker=s.marker),o.borderSize&&(M.borderSize=s.borderSize),o.borderColor&&(M.borderColor=s.borderColor),o.opacity&&(M.opacity=s.opacity),o.range&&(M.range=n?h(s.range,T,k):s.range||M.bounds),s.passes.push(A)}return this},u.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\"number\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var c=e[i],u=this.traces[i],f=u.passes,h=u.passOffset;f=f.map((function(t,e){n[h+e]=c}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},u.prototype.destroy=function(){return 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return 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e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},{\"../main\":346,\"object-assign\":247}],335:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.hebrew=a},{\"../main\":346,\"object-assign\":247}],337:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Islamic\",jdEpoch:1948439.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Islamic\",epochs:[\"BH\",\"AH\"],monthNames:[\"Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' al-thani\",\"Jumada al-awwal\",\"Jumada al-thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-ahad\",\"Yawm al-ithnayn\",\"Yawm ath-thulaathaa'\",\"Yawm al-arbi'aa'\",\"Yawm al-kham\\u012bs\",\"Yawm al-jum'a\",\"Yawm as-sabt\"],dayNamesShort:[\"Aha\",\"Ith\",\"Thu\",\"Arb\",\"Kha\",\"Jum\",\"Sab\"],dayNamesMin:[\"Ah\",\"It\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){return(11*this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year()+14)%30<11},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return this.leapYear(t)?355:354},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),t=t<=0?t+1:t,(r=i.day())+Math.ceil(29.5*(e-1))+354*(t-1)+Math.floor((3+11*t)/30)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},{\"../main\":346,\"object-assign\":247}],338:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Julian\",jdEpoch:1721423.5,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Julian\",epochs:[\"BC\",\"AD\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"mm/dd/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()<0?e.year()+1:e.year())%4==0},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},{\"../main\":346,\"object-assign\":247}],339:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Mayan\",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{\"\":{name:\"Mayan\",epochs:[\"\",\"\"],monthNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],monthNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],dayNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesMin:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],digits:null,dateFormat:\"YYYY.m.d\",firstDay:0,isRTL:!1,haabMonths:[\"Pop\",\"Uo\",\"Zip\",\"Zotz\",\"Tzec\",\"Xul\",\"Yaxkin\",\"Mol\",\"Chen\",\"Yax\",\"Zac\",\"Ceh\",\"Mac\",\"Kankin\",\"Muan\",\"Pax\",\"Kayab\",\"Cumku\",\"Uayeb\"],tzolkinMonths:[\"Imix\",\"Ik\",\"Akbal\",\"Kan\",\"Chicchan\",\"Cimi\",\"Manik\",\"Lamat\",\"Muluc\",\"Oc\",\"Chuen\",\"Eb\",\"Ben\",\"Ix\",\"Men\",\"Cib\",\"Caban\",\"Etznab\",\"Cauac\",\"Ahau\"]}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},{\"../main\":346,\"object-assign\":247}],340:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar;var o=n.instance(\"gregorian\");i(a.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s<i.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},{\"../main\":346,\"object-assign\":247}],341:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},{\"../main\":346,\"object-assign\":247}],344:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\"),a=n.instance();function 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return a.leapYear(t)},weekOfYear:function(t,e,r){var i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},{\"../main\":346,\"object-assign\":247}],345:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,i=0,a=0;a<o.length;a++){if(o[a]>r)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return i&&(i=(t=null!=t.year?t.year:t)>=1276&&t<=1500),i},_validate:function(t,e,r,i){var a=n.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw i.replace(/\\{0\\}/,this.local.name);return a}}),n.calendars.ummalqura=a;var 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n=t(\"object-assign\");function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(!function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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r,s,l=o(t,e),c=l.on,u=l.off.concat(l.explicitOff),f={},h=t._fullLayout.annotations;if(!c.length&&!u.length)return;for(r=0;r<c.length;r++)(s=a(t.layout,\"annotations\",h[c[r]])).modifyItem(\"visible\",!0),n.extendFlat(f,s.getUpdateObj());for(r=0;r<u.length;r++)(s=a(t.layout,\"annotations\",h[u[r]])).modifyItem(\"visible\",!1),n.extendFlat(f,s.getUpdateObj());return i.call(\"update\",t,{},f)}}},{\"../../lib\":503,\"../../plot_api/plot_template\":543,\"../../registry\":638}],352:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../color\");e.exports=function(t,e,r,a){a(\"opacity\");var o=a(\"bgcolor\"),s=a(\"bordercolor\"),l=i.opacity(s);a(\"borderpad\");var c=a(\"borderwidth\"),u=a(\"showarrow\");if(a(\"text\",u?\" \":r._dfltTitle.annotation),a(\"textangle\"),n.coerceFont(a,\"font\",r.font),a(\"width\"),a(\"align\"),a(\"height\")&&a(\"valign\"),u){var f,h,p=a(\"arrowside\");-1!==p.indexOf(\"end\")&&(f=a(\"arrowhead\"),h=a(\"arrowsize\")),-1!==p.indexOf(\"start\")&&(a(\"startarrowhead\",f),a(\"startarrowsize\",h)),a(\"arrowcolor\",l?e.bordercolor:i.defaultLine),a(\"arrowwidth\",2*(l&&c||1)),a(\"standoff\"),a(\"startstandoff\")}var d=a(\"hovertext\"),m=r.hoverlabel||{};if(d){var g=a(\"hoverlabel.bgcolor\",m.bgcolor||(i.opacity(o)?i.rgb(o):i.defaultLine)),v=a(\"hoverlabel.bordercolor\",m.bordercolor||i.contrast(g));n.coerceFont(a,\"hoverlabel.font\",{family:m.font.family,size:m.font.size,color:m.font.color||v})}a(\"captureevents\",!!d)}},{\"../../lib\":503,\"../color\":366}],353:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib/to_log_range\");e.exports=function(t,e,r,a){e=e||{};var o=\"log\"===r&&\"linear\"===e.type,s=\"linear\"===r&&\"log\"===e.type;if(o||s)for(var l,c,u=t._fullLayout.annotations,f=e._id.charAt(0),h=0;h<u.length;h++)l=u[h],c=\"annotations[\"+h+\"].\",l[f+\"ref\"]===e._id&&p(f),l[\"a\"+f+\"ref\"]===e._id&&p(\"a\"+f);function p(t){var r=l[t],s=null;s=o?i(r,e.range):Math.pow(10,r),n(s)||(s=null),a(c+t,s)}}},{\"../../lib/to_log_range\":531,\"fast-isnumeric\":190}],354:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../../plots/array_container_defaults\"),o=t(\"./common_defaults\"),s=t(\"./attributes\");function l(t,e,r){function a(r,i){return n.coerce(t,e,s,r,i)}var l=a(\"visible\"),c=a(\"clicktoshow\");if(l||c){o(t,e,r,a);for(var u=e.showarrow,f=[\"x\",\"y\"],h=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var m=f[d],g=i.coerceRef(t,e,p,m,\"\",\"paper\");if(\"paper\"!==g)i.getFromId(p,g)._annIndices.push(e._index);if(i.coercePosition(e,p,a,g,m,.5),u){var v=\"a\"+m,y=i.coerceRef(t,e,p,v,\"pixel\",[\"pixel\",\"paper\"]);\"pixel\"!==y&&y!==g&&(y=e[v]=\"pixel\");var 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r=t._fullLayout.annotations[e]||{},n=l.getFromId(t,r.xref),i=l.getFromId(t,r.yref);n&&n.setScale(),i&&i.setScale(),x(t,r,e,!1,n,i)}function y(t,e,r,n,i){var a=i[r],o=i[r+\"ref\"],s=-1!==r.indexOf(\"y\"),c=\"domain\"===l.getRefType(o),u=s?n.h:n.w;return t?c?a+(s?-e:e)/t._length:t.p2r(t.r2p(a)+e):a+(s?-e:e)/u}function x(t,e,r,a,v,x){var b,_,w=t._fullLayout,T=t._fullLayout._size,k=t._context.edits;a?(b=\"annotation-\"+a,_=a+\".annotations\"):(b=\"annotation\",_=\"annotations\");var A=m(t.layout,_,e),M=A.modifyBase,S=A.modifyItem,E=A.getUpdateObj;w._infolayer.selectAll(\".\"+b+'[data-index=\"'+r+'\"]').remove();var L=\"clip\"+w._uid+\"_ann\"+r;if(e._input&&!1!==e.visible){var C={x:{},y:{}},P=+e.textangle||0,I=w._infolayer.append(\"g\").classed(b,!0).attr(\"data-index\",String(r)).style(\"opacity\",e.opacity),O=I.append(\"g\").classed(\"annotation-text-g\",!0),z=k[e.showarrow?\"annotationTail\":\"annotationPosition\"],D=e.captureevents||k.annotationText||z,R=O.append(\"g\").style(\"pointer-events\",D?\"all\":null).call(p,\"pointer\").on(\"click\",(function(){t._dragging=!1,t.emit(\"plotly_clickannotation\",Y(n.event))}));e.hovertext&&R.on(\"mouseover\",(function(){var r=e.hoverlabel,n=r.font,i=this.getBoundingClientRect(),a=t.getBoundingClientRect();f.loneHover({x0:i.left-a.left,x1:i.right-a.left,y:(i.top+i.bottom)/2-a.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color},{container:w._hoverlayer.node(),outerContainer:w._paper.node(),gd:t})})).on(\"mouseout\",(function(){f.loneUnhover(w._hoverlayer.node())}));var F=e.borderwidth,B=e.borderpad,N=F+B,j=R.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",F+\"px\").call(c.stroke,e.bordercolor).call(c.fill,e.bgcolor),U=e.width||e.height,V=w._topclips.selectAll(\"#\"+L).data(U?[0]:[]);V.enter().append(\"clipPath\").classed(\"annclip\",!0).attr(\"id\",L).append(\"rect\"),V.exit().remove();var H=e.font,q=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append(\"text\").classed(\"annotation-text\",!0).text(q);k.annotationText?G.call(h.makeEditable,{delegate:R,gd:t}).call(W).on(\"edit\",(function(r){e.text=r,this.call(W),S(\"text\",r),v&&v.autorange&&M(v._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0),i.call(\"_guiRelayout\",t,E())})):G.call(W)}else n.selectAll(\"#\"+L).remove();function Y(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function W(r){return r.call(u.font,H).attr({\"text-anchor\":{left:\"start\",right:\"end\"}[e.align]||\"middle\"}),h.convertToTspans(r,t,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(),m=u.bBox((f?n:G).node()),b=m.width,_=m.height,A=e.width||b,D=e.height||_,B=Math.round(A+2*N),H=Math.round(D+2*N);function q(t,e){return\"auto\"===e&&(e=t<1/3?\"left\":t>2/3?\"right\":\"center\"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var W=!1,X=[\"x\",\"y\"],Z=0;Z<X.length;Z++){var J,K,Q,$,tt,et=X[Z],rt=e[et+\"ref\"]||et,nt=e[\"a\"+et+\"ref\"],it={x:v,y:x}[et],at=(P+(\"x\"===et?0:-90))*Math.PI/180,ot=B*Math.cos(at),st=H*Math.sin(at),lt=Math.abs(ot)+Math.abs(st),ct=e[et+\"anchor\"],ut=e[et+\"shift\"]*(\"x\"===et?1:-1),ft=C[et],ht=l.getRefType(rt);if(it&&\"domain\"!==ht){var pt=it.r2fraction(e[et]);(pt<0||pt>1)&&(nt===rt?((pt=it.r2fraction(e[\"a\"+et]))<0||pt>1)&&(W=!0):W=!0),J=it._offset+it.r2p(e[et]),$=.5}else{var dt=\"domain\"===ht;\"x\"===et?(Q=e[et],J=dt?it._offset+it._length*Q:J=T.l+T.w*Q):(Q=1-e[et],J=dt?it._offset+it._length*Q:J=T.t+T.h*Q),$=e.showarrow?.5:Q}if(e.showarrow){ft.head=J;var mt=e[\"a\"+et];if(tt=ot*q(.5,e.xanchor)-st*q(.5,e.yanchor),nt===rt){var gt=l.getRefType(nt);\"domain\"===gt?(\"y\"===et&&(mt=1-mt),ft.tail=it._offset+it._length*mt):\"paper\"===gt?\"y\"===et?(mt=1-mt,ft.tail=T.t+T.h*mt):ft.tail=T.l+T.w*mt:ft.tail=it._offset+it.r2p(mt),K=tt}else ft.tail=J+mt,K=tt+mt;ft.text=ft.tail+tt;var vt=w[\"x\"===et?\"width\":\"height\"];if(\"paper\"===rt&&(ft.head=o.constrain(ft.head,1,vt-1)),\"pixel\"===nt){var yt=-Math.max(ft.tail-3,ft.text),xt=Math.min(ft.tail+3,ft.text)-vt;yt>0?(ft.tail+=yt,ft.text+=yt):xt>0&&(ft.tail-=xt,ft.text-=xt)}ft.tail+=ut,ft.head+=ut}else K=tt=lt*q($,ct),ft.text=J+tt;ft.text+=ut,tt+=ut,K+=ut,e[\"_\"+et+\"padplus\"]=lt/2+K,e[\"_\"+et+\"padminus\"]=lt/2-K,e[\"_\"+et+\"size\"]=lt,e[\"_\"+et+\"shift\"]=tt}if(W)R.remove();else{var bt=0,_t=0;if(\"left\"!==e.align&&(bt=(A-b)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(_t=(D-_)*(\"middle\"===e.valign?.5:1)),f)n.select(\"svg\").attr({x:N+bt-1,y:N+_t}).call(u.setClipUrl,U?L:null,t);else{var wt=N+_t-m.top,Tt=N+bt-m.left;G.call(h.positionText,Tt,wt).call(u.setClipUrl,U?L:null,t)}V.select(\"rect\").call(u.setRect,N,N,A,D),j.call(u.setRect,F/2,F/2,B-F,H-F),R.call(u.setTranslate,Math.round(C.x.text-B/2),Math.round(C.y.text-H/2)),O.attr({transform:\"rotate(\"+P+\",\"+C.x.text+\",\"+C.y.text+\")\"});var kt,At=function(r,n){I.selectAll(\".annotation-arrow-g\").remove();var l=C.x.head,f=C.y.head,h=C.x.tail+r,p=C.y.tail+n,m=C.x.text+r,b=C.y.text+n,_=o.rotationXYMatrix(P,m,b),w=o.apply2DTransform(_),A=o.apply2DTransform2(_),L=+j.attr(\"width\"),z=+j.attr(\"height\"),D=m-.5*L,F=D+L,B=b-.5*z,N=B+z,U=[[D,B,D,N],[D,N,F,N],[F,N,F,B],[F,B,D,B]].map(A);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(h,p,l,f,t[0],t[1],t[2],t[3]);e&&(h=e.x,p=e.y)}));var V=e.arrowwidth,H=e.arrowcolor,q=e.arrowside,G=I.append(\"g\").style({opacity:c.opacity(H)}).classed(\"annotation-arrow-g\",!0),Y=G.append(\"path\").attr(\"d\",\"M\"+h+\",\"+p+\"L\"+l+\",\"+f).style(\"stroke-width\",V+\"px\").call(c.stroke,c.rgb(H));if(g(Y,q,e),k.annotationPosition&&Y.node().parentNode&&!a){var W=l,X=f;if(e.standoff){var Z=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));W+=e.standoff*(h-l)/Z,X+=e.standoff*(p-f)/Z}var J,K,Q=G.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(h-W)+\",\"+(p-X),transform:s(W,X)}).style(\"stroke-width\",V+6+\"px\").call(c.stroke,\"rgba(0,0,0,0)\").call(c.fill,\"rgba(0,0,0,0)\");d.init({element:Q.node(),gd:t,prepFn:function(){var t=u.getTranslate(R);J=t.x,K=t.y,v&&v.autorange&&M(v._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0)},moveFn:function(t,r){var n=w(J,K),i=n[0]+t,a=n[1]+r;R.call(u.setTranslate,i,a),S(\"x\",y(v,t,\"x\",T,e)),S(\"y\",y(x,r,\"y\",T,e)),e.axref===e.xref&&S(\"ax\",y(v,t,\"ax\",T,e)),e.ayref===e.yref&&S(\"ay\",y(x,r,\"ay\",T,e)),G.attr(\"transform\",s(t,r)),O.attr({transform:\"rotate(\"+P+\",\"+i+\",\"+a+\")\"})},doneFn:function(){i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}};if(e.showarrow&&At(0,0),z)d.init({element:R.node(),gd:t,prepFn:function(){kt=O.attr(\"transform\")},moveFn:function(t,r){var n=\"pointer\";if(e.showarrow)e.axref===e.xref?S(\"ax\",y(v,t,\"ax\",T,e)):S(\"ax\",e.ax+t),e.ayref===e.yref?S(\"ay\",y(x,r,\"ay\",T.w,e)):S(\"ay\",e.ay+r),At(t,r);else{if(a)return;var i,o;if(v)i=y(v,t,\"x\",T,e);else{var l=e._xsize/T.w,c=e.x+(e._xshift-e.xshift)/T.w-l/2;i=d.align(c+t/T.w,l,0,1,e.xanchor)}if(x)o=y(x,r,\"y\",T,e);else{var u=e._ysize/T.h,f=e.y-(e._yshift+e.yshift)/T.h-u/2;o=d.align(f-r/T.h,u,0,1,e.yanchor)}S(\"x\",i),S(\"y\",o),v&&x||(n=d.getCursor(v?.5:i,x?.5:o,e.xanchor,e.yanchor))}O.attr({transform:s(t,r)+kt}),p(R,n)},clickFn:function(r,n){e.captureevents&&t.emit(\"plotly_clickannotation\",Y(n))},doneFn:function(){p(R),i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}}e.exports={draw:function(t){var e=t._fullLayout;e._infolayer.selectAll(\".annotation\").remove();for(var r=0;r<e.annotations.length;r++)e.annotations[r].visible&&v(t,r);return a.previousPromises(t)},drawOne:v,drawRaw:x}},{\"../../lib\":503,\"../../lib/setcursor\":524,\"../../lib/svg_text_utils\":529,\"../../plot_api/plot_template\":543,\"../../plots/cartesian/axes\":554,\"../../plots/plots\":619,\"../../registry\":638,\"../color\":366,\"../dragelement\":385,\"../drawing\":388,\"../fx\":406,\"./draw_arrow_head\":356,\"@plotly/d3\":58}],356:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../color\"),a=t(\"./arrow_paths\"),o=t(\"../../lib\"),s=o.strScale,l=o.strRotate,c=o.strTranslate;e.exports=function(t,e,r){var o,u,f,h,p=t.node(),d=a[r.arrowhead||0],m=a[r.startarrowhead||0],g=(r.arrowwidth||1)*(r.arrowsize||1),v=(r.arrowwidth||1)*(r.startarrowsize||1),y=e.indexOf(\"start\")>=0,x=e.indexOf(\"end\")>=0,b=d.backoff*g+r.standoff,_=m.backoff*v+r.startstandoff;if(\"line\"===p.nodeName){o={x:+t.attr(\"x1\"),y:+t.attr(\"y1\")},u={x:+t.attr(\"x2\"),y:+t.attr(\"y2\")};var w=o.x-u.x,T=o.y-u.y;if(h=(f=Math.atan2(T,w))+Math.PI,b&&_&&b+_>Math.sqrt(w*w+T*T))return void z();if(b){if(b*b>w*w+T*T)return void z();var k=b*Math.cos(f),A=b*Math.sin(f);u.x+=k,u.y+=A,t.attr({x2:u.x,y2:u.y})}if(_){if(_*_>w*w+T*T)return void z();var M=_*Math.cos(f),S=_*Math.sin(f);o.x-=M,o.y-=S,t.attr({x1:o.x,y1:o.y})}}else if(\"path\"===p.nodeName){var E=p.getTotalLength(),L=\"\";if(E<b+_)return void z();var C=p.getPointAtLength(0),P=p.getPointAtLength(.1);f=Math.atan2(C.y-P.y,C.x-P.x),o=p.getPointAtLength(Math.min(_,E)),L=\"0px,\"+_+\"px,\";var 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n=t(\"@plotly/d3\"),i=t(\"tinycolor2\"),a=t(\"../../plots/plots\"),o=t(\"../../registry\"),s=t(\"../../plots/cartesian/axes\"),l=t(\"../dragelement\"),c=t(\"../../lib\"),u=c.strTranslate,f=t(\"../../lib/extend\").extendFlat,h=t(\"../../lib/setcursor\"),p=t(\"../drawing\"),d=t(\"../color\"),m=t(\"../titles\"),g=t(\"../../lib/svg_text_utils\"),v=t(\"../colorscale/helpers\").flipScale,y=t(\"../../plots/cartesian/axis_defaults\"),x=t(\"../../plots/cartesian/position_defaults\"),b=t(\"../../plots/cartesian/layout_attributes\"),_=t(\"../../constants/alignment\"),w=_.LINE_SPACING,T=_.FROM_TL,k=_.FROM_BR,A=t(\"./constants\").cn;e.exports={draw:function(t){var e=t._fullLayout._infolayer.selectAll(\"g.\"+A.colorbar).data(function(t){var e,r,n,i,a=t._fullLayout,o=t.calcdata,s=[];function l(t){return f(t,{_fillcolor:null,_line:{color:null,width:null,dash:null},_levels:{start:null,end:null,size:null},_filllevels:null,_fillgradient:null,_zrange:null})}function c(){\"function\"==typeof 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r=n.select(this);c.ensureSingle(r,\"rect\",A.cbbg),c.ensureSingle(r,\"g\",A.cbfills),c.ensureSingle(r,\"g\",A.cblines),c.ensureSingle(r,\"g\",A.cbaxis,(function(t){t.classed(A.crisp,!0)})),c.ensureSingle(r,\"g\",A.cbtitleunshift,(function(t){t.append(\"g\").classed(A.cbtitle,!0)})),c.ensureSingle(r,\"rect\",A.cboutline);var v=function(t,e,r){var o=\"v\"===e.orientation,l=e.len,h=e.lenmode,v=e.thickness,_=e.thicknessmode,M=e.outlinewidth,S=e.borderwidth,E=e.bgcolor,L=e.xanchor,C=e.yanchor,P=e.xpad,I=e.ypad,O=e.x,z=o?e.y:1-e.y,D=r._fullLayout,R=D._size,F=e._fillcolor,B=e._line,N=e.title,j=N.side,U=e._zrange||n.extent((\"function\"==typeof F?F:B.color).domain()),V=\"function\"==typeof B.color?B.color:function(){return B.color},H=\"function\"==typeof F?F:function(){return F},q=e._levels,G=function(t,e,r){var n,i,a=e._levels,o=[],s=[],l=a.end+a.size/100,c=a.size,u=1.001*r[0]-.001*r[1],f=1.001*r[1]-.001*r[0];for(i=0;i<1e5&&(n=a.start+i*c,!(c>0?n>=l:n<=l));i++)n>u&&n<f&&o.push(n);if(e._fillgradient)s=[0];else if(\"function\"==typeof e._fillcolor){var h=e._filllevels;if(h)for(l=h.end+h.size/100,c=h.size,i=0;i<1e5&&(n=h.start+i*c,!(c>0?n>=l:n<=l));i++)n>r[0]&&n<r[1]&&s.push(n);else(s=o.map((function(t){return t-a.size/2}))).push(s[s.length-1]+a.size)}else e._fillcolor&&\"string\"==typeof e._fillcolor&&(s=[0]);a.size<0&&(o.reverse(),s.reverse());return{line:o,fill:s}}(0,e,U),Y=G.fill,W=G.line,X=Math.round(v*(\"fraction\"===_?o?R.w:R.h:1)),Z=X/(o?R.w:R.h),J=Math.round(l*(\"fraction\"===h?o?R.h:R.w:1)),K=J/(o?R.h:R.w),Q=Math.round(o?O*R.w+P:z*R.h+I),$={center:.5,right:1}[L]||0,tt={top:1,middle:.5}[C]||0,et=o?O-$*Z:z-tt*Z,rt=o?z-tt*K:O-$*K,nt=Math.round(o?R.h*(1-rt):R.w*rt);e._lenFrac=K,e._thickFrac=Z,e._uFrac=et,e._vFrac=rt;var it=e._axis=function(t,e,r){var n=t._fullLayout,i=\"v\"===e.orientation,a={type:\"linear\",range:r,tickmode:e.tickmode,nticks:e.nticks,tick0:e.tick0,dtick:e.dtick,tickvals:e.tickvals,ticktext:e.ticktext,ticks:e.ticks,ticklen:e.ticklen,tickwidth:e.tickwidth,tickcolor:e.tickcolor,showticklabels:e.showticklabels,ticklabelposition:e.ticklabelposition,ticklabeloverflow:e.ticklabeloverflow,ticklabelstep:e.ticklabelstep,tickfont:e.tickfont,tickangle:e.tickangle,tickformat:e.tickformat,exponentformat:e.exponentformat,minexponent:e.minexponent,separatethousands:e.separatethousands,showexponent:e.showexponent,showtickprefix:e.showtickprefix,tickprefix:e.tickprefix,showticksuffix:e.showticksuffix,ticksuffix:e.ticksuffix,title:e.title,showline:!0,anchor:\"free\",side:i?\"right\":\"bottom\",position:1},o=i?\"y\":\"x\",s={type:\"linear\",_id:o+e._id},l={letter:o,font:n.font,noHover:!0,noTickson:!0,noTicklabelmode:!0,calendar:n.calendar};function u(t,e){return c.coerce(a,s,b,t,e)}return y(a,s,u,l,n),x(a,s,u,l),s}(r,e,U);it.position=Z+(o?O+P/R.w:z+I/R.h);var at=-1!==[\"top\",\"bottom\"].indexOf(j);o&&at&&(it.title.side=j,it.titlex=O+P/R.w,it.titley=rt+(\"top\"===N.side?K-I/R.h:I/R.h));o||at||(it.title.side=j,it.titley=z+I/R.h,it.titlex=rt+P/R.w);if(B.color&&\"auto\"===e.tickmode){it.tickmode=\"linear\",it.tick0=q.start;var ot=q.size,st=c.constrain(J/50,4,15)+1,lt=(U[1]-U[0])/((e.nticks||st)*ot);if(lt>1){var ct=Math.pow(10,Math.floor(Math.log(lt)/Math.LN10));ot*=ct*c.roundUp(lt/ct,[2,5,10]),(Math.abs(q.start)/q.size+1e-6)%1<2e-6&&(it.tick0=0)}it.dtick=ot}it.domain=o?[rt+I/R.h,rt+K-I/R.h]:[rt+P/R.w,rt+K-P/R.w],it.setScale(),t.attr(\"transform\",u(Math.round(R.l),Math.round(R.t)));var ut,ft=t.select(\".\"+A.cbtitleunshift).attr(\"transform\",u(-Math.round(R.l),-Math.round(R.t))),ht=it.ticklabelposition,pt=it.title.font.size,dt=t.select(\".\"+A.cbaxis),mt=0,gt=0;function vt(n,i){var a={propContainer:it,propName:e._propPrefix+\"title\",traceIndex:e._traceIndex,_meta:e._meta,placeholder:D._dfltTitle.colorbar,containerGroup:t.select(\".\"+A.cbtitle)},o=\"h\"===n.charAt(0)?n.substr(1):\"h\"+n;t.selectAll(\".\"+o+\",.\"+o+\"-math-group\").remove(),m.draw(r,n,f(a,i||{}))}return c.syncOrAsync([a.previousPromises,function(){var t,e;(o&&at||!o&&!at)&&(\"top\"===j&&(t=P+R.l+R.w*O,e=I+R.t+R.h*(1-rt-K)+3+.75*pt),\"bottom\"===j&&(t=P+R.l+R.w*O,e=I+R.t+R.h*(1-rt)-3-.25*pt),\"right\"===j&&(e=I+R.t+R.h*z+3+.75*pt,t=P+R.l+R.w*rt),vt(it._id+\"title\",{attributes:{x:t,y:e,\"text-anchor\":o?\"start\":\"middle\"}}))},function(){if(!o&&!at||o&&at){var a,l=t.select(\".\"+A.cbtitle),f=l.select(\"text\"),h=[-M/2,M/2],d=l.select(\".h\"+it._id+\"title-math-group\").node(),m=15.6;if(f.node()&&(m=parseInt(f.node().style.fontSize,10)*w),d?(a=p.bBox(d),gt=a.width,(mt=a.height)>m&&(h[1]-=(mt-m)/2)):f.node()&&!f.classed(A.jsPlaceholder)&&(a=p.bBox(f.node()),gt=a.width,mt=a.height),o){if(mt){if(mt+=5,\"top\"===j)it.domain[1]-=mt/R.h,h[1]*=-1;else{it.domain[0]+=mt/R.h;var v=g.lineCount(f);h[1]+=(1-v)*m}l.attr(\"transform\",u(h[0],h[1])),it.setScale()}}else gt&&(\"right\"===j&&(it.domain[0]+=(gt+pt/2)/R.w),l.attr(\"transform\",u(h[0],h[1])),it.setScale())}t.selectAll(\".\"+A.cbfills+\",.\"+A.cblines).attr(\"transform\",o?u(0,Math.round(R.h*(1-it.domain[1]))):u(Math.round(R.w*it.domain[0]),0)),dt.attr(\"transform\",o?u(0,Math.round(-R.t)):u(Math.round(-R.l),0));var y=t.select(\".\"+A.cbfills).selectAll(\"rect.\"+A.cbfill).attr(\"style\",\"\").data(Y);y.enter().append(\"rect\").classed(A.cbfill,!0).style(\"stroke\",\"none\"),y.exit().remove();var x=U.map(it.c2p).map(Math.round).sort((function(t,e){return t-e}));y.each((function(t,a){var s=[0===a?U[0]:(Y[a]+Y[a-1])/2,a===Y.length-1?U[1]:(Y[a]+Y[a+1])/2].map(it.c2p).map(Math.round);o&&(s[1]=c.constrain(s[1]+(s[1]>s[0])?1:-1,x[0],x[1]));var l=n.select(this).attr(o?\"x\":\"y\",Q).attr(o?\"y\":\"x\",n.min(s)).attr(o?\"width\":\"height\",Math.max(X,2)).attr(o?\"height\":\"width\",Math.max(n.max(s)-n.min(s),2));if(e._fillgradient)p.gradient(l,r,e._id,o?\"vertical\":\"horizontalreversed\",e._fillgradient,\"fill\");else{var u=H(t).replace(\"e-\",\"\");l.attr(\"fill\",i(u).toHexString())}}));var b=t.select(\".\"+A.cblines).selectAll(\"path.\"+A.cbline).data(B.color&&B.width?W:[]);b.enter().append(\"path\").classed(A.cbline,!0),b.exit().remove(),b.each((function(t){var e=Q,r=Math.round(it.c2p(t))+B.width/2%1;n.select(this).attr(\"d\",\"M\"+(o?e+\",\"+r:r+\",\"+e)+(o?\"h\":\"v\")+X).call(p.lineGroupStyle,B.width,V(t),B.dash)})),dt.selectAll(\"g.\"+it._id+\"tick,path\").remove();var _=Q+X+(M||0)/2-(\"outside\"===e.ticks?1:0),T=s.calcTicks(it),k=s.getTickSigns(it)[2];return s.drawTicks(r,it,{vals:\"inside\"===it.ticks?s.clipEnds(it,T):T,layer:dt,path:s.makeTickPath(it,_,k),transFn:s.makeTransTickFn(it)}),s.drawLabels(r,it,{vals:T,layer:dt,transFn:s.makeTransTickLabelFn(it),labelFns:s.makeLabelFns(it,_)})},function(){if(o&&!at||!o&&at){var t,i,a=it.position||0,s=it._offset+it._length/2;if(\"right\"===j)i=s,t=R.l+R.w*a+10+pt*(it.showticklabels?1:.5);else if(t=s,\"bottom\"===j&&(i=R.t+R.h*a+10+(-1===ht.indexOf(\"inside\")?it.tickfont.size:0)+(\"intside\"!==it.ticks&&e.ticklen||0)),\"top\"===j){var l=N.text.split(\"<br>\").length;i=R.t+R.h*a+10-X-w*pt*l}vt((o?\"h\":\"v\")+it._id+\"title\",{avoid:{selection:n.select(r).selectAll(\"g.\"+it._id+\"tick\"),side:j,offsetTop:o?0:R.t,offsetLeft:o?R.l:0,maxShift:o?D.width:D.height},attributes:{x:t,y:i,\"text-anchor\":\"middle\"},transform:{rotate:o?-90:0,offset:0}})}},a.previousPromises,function(){var n,s=X+M/2;-1===ht.indexOf(\"inside\")&&(n=p.bBox(dt.node()),s+=o?n.width:n.height),ut=ft.select(\"text\");var c=0,f=o&&\"top\"===j,m=!o&&\"right\"===j,g=0;if(ut.node()&&!ut.classed(A.jsPlaceholder)){var y,x=ft.select(\".h\"+it._id+\"title-math-group\").node();x&&(o&&at||!o&&!at)?(c=(n=p.bBox(x)).width,y=n.height):(c=(n=p.bBox(ft.node())).right-R.l-(o?Q:nt),y=n.bottom-R.t-(o?nt:Q),o||\"top\"!==j||(s+=n.height,g=n.height)),m&&(ut.attr(\"transform\",u(c/2+pt/2,0)),c*=2),s=Math.max(s,o?c:y)}var b=2*(o?P:I)+s+S+M/2,w=0;!o&&N.text&&\"bottom\"===C&&z<=0&&(b+=w=b/2,g+=w),D._hColorbarMoveTitle=w,D._hColorbarMoveCBTitle=g;var F=S+M;t.select(\".\"+A.cbbg).attr(\"x\",(o?Q:nt)-F/2-(o?P:0)).attr(\"y\",(o?nt:Q)-(o?J:I+g-w)).attr(o?\"width\":\"height\",Math.max(b-w,2)).attr(o?\"height\":\"width\",Math.max(J+F,2)).call(d.fill,E).call(d.stroke,e.bordercolor).style(\"stroke-width\",S);var B=m?Math.max(c-10,0):0;if(t.selectAll(\".\"+A.cboutline).attr(\"x\",(o?Q:nt+P)+B).attr(\"y\",(o?nt+I-J:Q)+(f?mt:0)).attr(o?\"width\":\"height\",Math.max(X,2)).attr(o?\"height\":\"width\",Math.max(J-(o?2*I+mt:2*P+B),2)).call(d.stroke,e.outlinecolor).style({fill:\"none\",\"stroke-width\":M}),t.attr(\"transform\",u(R.l-(o?$*b:0),R.t-(o?0:(1-tt)*b-g))),!o&&(S||i(E).getAlpha()&&!i.equals(D.paper_bgcolor,E))){var U=dt.selectAll(\"text\"),V=U[0].length,H=t.select(\".\"+A.cbbg).node(),q=p.bBox(H),G=p.getTranslate(t);U.each((function(t,e){var r=V-1;if(0===e||e===r){var n,i=p.bBox(this),a=p.getTranslate(this);if(e===r){var o=i.right+a.x;(n=q.right+G.x+nt-S-2+O-o)>0&&(n=0)}else if(0===e){var s=i.left+a.x;(n=q.left+G.x+nt+S+2-s)<0&&(n=0)}n&&(V<3?this.setAttribute(\"transform\",\"translate(\"+n+\",0) \"+this.getAttribute(\"transform\")):this.setAttribute(\"visibility\",\"hidden\"))}}))}var Y={},W=T[L],Z=k[L],K=T[C],et=k[C],rt=b-X;o?(\"pixels\"===h?(Y.y=z,Y.t=J*K,Y.b=J*et):(Y.t=Y.b=0,Y.yt=z+l*K,Y.yb=z-l*et),\"pixels\"===_?(Y.x=O,Y.l=b*W,Y.r=b*Z):(Y.l=rt*W,Y.r=rt*Z,Y.xl=O-v*W,Y.xr=O+v*Z)):(\"pixels\"===h?(Y.x=O,Y.l=J*W,Y.r=J*Z):(Y.l=Y.r=0,Y.xl=O+l*W,Y.xr=O-l*Z),\"pixels\"===_?(Y.y=1-z,Y.t=b*K,Y.b=b*et):(Y.t=rt*K,Y.b=rt*et,Y.yt=z-v*K,Y.yb=z+v*et)),a.autoMargin(r,e._id,Y)}],r)}(r,e,t);v&&v.then&&(t._promises||[]).push(v),t._context.edits.colorbarPosition&&function(t,e,r){var n,i,a,s=\"v\"===e.orientation,c=r._fullLayout._size;l.init({element:t.node(),gd:r,prepFn:function(){n=t.attr(\"transform\"),h(t)},moveFn:function(r,o){t.attr(\"transform\",n+u(r,o)),i=l.align((s?e._uFrac:e._vFrac)+r/c.w,s?e._thickFrac:e._lenFrac,0,1,e.xanchor),a=l.align((s?e._vFrac:1-e._uFrac)-o/c.h,s?e._lenFrac:e._thickFrac,0,1,e.yanchor);var f=l.getCursor(i,a,e.xanchor,e.yanchor);h(t,f)},doneFn:function(){if(h(t),void 0!==i&&void 0!==a){var n={};n[e._propPrefix+\"x\"]=i,n[e._propPrefix+\"y\"]=a,void 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o.warn(\"Fx.hover failed\",e,t),d.unhoverRaw(t,e)}var ct=1/0;function ut(t,r){for(G=0;G<rt.length;G++)if((Y=rt[G])&&Y[0]&&Y[0].trace&&!0===(W=Y[0].trace).visible&&0!==W._length&&-1===[\"carpet\",\"contourcarpet\"].indexOf(W._module.name)){if(\"splom\"===W.type?X=l[Z=0]:(X=v.getSubplot(W),Z=l.indexOf(X)),J=P,v.isUnifiedHover(J)&&(J=J.charAt(0)),$={cd:Y,trace:W,xa:_[Z],ya:w[Z],maxHoverDistance:O,maxSpikeDistance:B,index:!1,distance:Math.min(ct,O),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:p.defaultLine,name:W.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},u[X]&&($.subplot=u[X]._subplot),u._splomScenes&&u._splomScenes[W.uid]&&($.scene=u._splomScenes[W.uid]),tt=et.length,\"array\"===J){var n=e[G];\"pointNumber\"in n?($.index=n.pointNumber,J=\"closest\"):(J=\"\",\"xval\"in n&&(K=n.xval,J=\"x\"),\"yval\"in n&&(Q=n.yval,J=J?\"closest\":\"y\"))}else void 0!==t&&void 0!==r?(K=t,Q=r):(K=V[Z],Q=H[Z]);if(0!==O)if(W._module&&W._module.hoverPoints){var a=W._module.hoverPoints($,K,Q,J,{finiteRange:!0,hoverLayer:u._hoverlayer});if(a)for(var s,c=0;c<a.length;c++)s=a[c],i(s.x0)&&i(s.y0)&&et.push(D(s,P))}else o.log(\"Unrecognized trace type in hover:\",W);if(\"closest\"===P&&et.length>tt&&(et.splice(0,tt),ct=et[0].distance),y&&0!==B&&0===et.length){$.distance=B,$.index=!1;var f=W._module.hoverPoints($,K,Q,\"closest\",{hoverLayer:u._hoverlayer});if(f&&(f=f.filter((function(t){return t.spikeDistance<=B}))),f&&f.length){var h,d=f.filter((function(t){return t.xa.showspikes&&\"hovered data\"!==t.xa.spikesnap}));if(d.length){var m=d[0];i(m.x0)&&i(m.y0)&&(h=ht(m),(!nt.vLinePoint||nt.vLinePoint.spikeDistance>h.spikeDistance)&&(nt.vLinePoint=h))}var g=f.filter((function(t){return t.ya.showspikes&&\"hovered data\"!==t.ya.spikesnap}));if(g.length){var x=g[0];i(x.x0)&&i(x.y0)&&(h=ht(x),(!nt.hLinePoint||nt.hLinePoint.spikeDistance>h.spikeDistance)&&(nt.hLinePoint=h))}}}}}function ft(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)n=t[o].spikeDistance,r&&0===o&&(n=-1/0),n<=a&&n<=e&&(i=t[o],a=n);return i}function ht(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}ut();var pt={fullLayout:u,container:u._hoverlayer,event:e},dt=t._spikepoints,mt={vLinePoint:nt.vLinePoint,hLinePoint:nt.hLinePoint};t._spikepoints=mt;var gt=function(){et.sort((function(t,e){return t.distance-e.distance})),et=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];g.traceIs(s.trace,\"bar-like\")||g.traceIs(s.trace,\"box-violin\")?a.push(s):s.trace[r+\"period\"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(et,P)};gt();var vt=P.charAt(0),yt=(\"x\"===vt||\"y\"===vt)&&et[0]&&L[et[0].trace.type];if(y&&0!==B&&0!==et.length){var xt=ft(et.filter((function(t){return t.ya.showspikes})),B,yt);nt.hLinePoint=ht(xt);var bt=ft(et.filter((function(t){return t.xa.showspikes})),B,yt);nt.vLinePoint=ht(bt)}if(0===et.length){var _t=d.unhoverRaw(t,e);return!y||null===nt.hLinePoint&&null===nt.vLinePoint||F(dt)&&R(t,nt,pt),_t}y&&F(dt)&&R(t,nt,pt);if(v.isXYhover(J)&&0!==et[0].length&&\"splom\"!==et[0].trace.type){var wt=et[0],Tt=(et=E[wt.trace.type]?et.filter((function(t){return t.trace.index===wt.trace.index})):[wt]).length,kt=N(\"x\",wt,u),At=N(\"y\",wt,u);ut(kt,At);var Mt,St=[],Et={},Lt=0,Ct=function(t){var e=E[t.trace.type]?C(t):t.trace.index;if(Et[e]){var r=Et[e]-1,n=St[r];r>0&&Math.abs(t.distance)<Math.abs(n.distance)&&(St[r]=t)}else Lt++,Et[e]=Lt,St.push(t)};for(Mt=0;Mt<Tt;Mt++)Ct(et[Mt]);for(Mt=et.length-1;Mt>Tt-1;Mt--)Ct(et[Mt]);et=St,gt()}var Pt=t._hoverdata,It=[],Ot=j(t),zt=U(t);for(q=0;q<et.length;q++){var Dt=et[q],Rt=v.makeEventData(Dt,Dt.trace,Dt.cd);if(!1!==Dt.hovertemplate){var Ft=!1;Dt.cd[Dt.index]&&Dt.cd[Dt.index].ht&&(Ft=Dt.cd[Dt.index].ht),Dt.hovertemplate=Ft||Dt.trace.hovertemplate||!1}if(Dt.xa&&Dt.ya){var Bt=Dt.x0+Dt.xa._offset,Nt=Dt.x1+Dt.xa._offset,jt=Dt.y0+Dt.ya._offset,Ut=Dt.y1+Dt.ya._offset,Vt=Math.min(Bt,Nt),Ht=Math.max(Bt,Nt),qt=Math.min(jt,Ut),Gt=Math.max(jt,Ut);Rt.bbox={x0:Vt+zt,x1:Ht+zt,y0:qt+Ot,y1:Gt+Ot}}Dt.eventData=[Rt],It.push(Rt)}t._hoverdata=It;var Yt=\"y\"===P&&(rt.length>1||et.length>1)||\"closest\"===P&&it&&et.length>1,Wt=p.combine(u.plot_bgcolor||p.background,u.paper_bgcolor),Xt=I(et,{gd:t,hovermode:P,rotateLabels:Yt,bgColor:Wt,container:u._hoverlayer,outerContainer:u._paper.node(),commonLabelOpts:u.hoverlabel,hoverdistance:u.hoverdistance});v.isUnifiedHover(P)||(!function(t,e,r){var n,i,a,o,s,l,c,u=0,f=1,h=t.size(),p=new Array(h),d=0;function m(t){var e=t[0],r=t[t.length-1];if(i=e.pmin-e.pos-e.dp+e.size,a=r.pos+r.dp+r.size-e.pmax,i>.01){for(s=t.length-1;s>=0;s--)t[s].dp+=i;n=!1}if(!(a<.01)){if(i<-.01){for(s=t.length-1;s>=0;s--)t[s].dp-=a;n=!1}if(n){var c=0;for(o=0;o<t.length;o++)(l=t[o]).pos+l.dp+l.size>e.pmax&&c++;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos>e.pmax-1&&(l.del=!0,c--);for(o=0;o<t.length&&!(c<=0);o++)if((l=t[o]).pos<e.pmin+1)for(l.del=!0,c--,a=2*l.size,s=t.length-1;s>=0;s--)t[s].dp-=a;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos+l.dp+l.size>e.pmax&&(l.del=!0,c--)}}}t.each((function(t){var n=t[e],i=\"x\"===n._id.charAt(0),a=n.range;0===d&&a&&a[0]>a[1]!==i&&(f=-1),p[d++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(i?T:1)/2,pmin:0,pmax:i?r.width:r.height}]})),p.sort((function(t,e){return t[0].posref-e[0].posref||f*(e[0].traceIndex-t[0].traceIndex)}));for(;!n&&u<=h;){for(u++,n=!0,o=0;o<p.length-1;){var g=p[o],v=p[o+1],y=g[g.length-1],x=v[0];if((i=y.pos+y.dp+y.size-x.pos-x.dp+x.size)>.01&&y.pmin===x.pmin&&y.pmax===x.pmax){for(s=v.length-1;s>=0;s--)v[s].dp+=i;for(g.push.apply(g,v),p.splice(o+1,1),c=0,s=g.length-1;s>=0;s--)c+=g[s].dp;for(a=c/g.length,s=g.length-1;s>=0;s--)g[s].dp-=a;n=!1}else o++}p.forEach(m)}for(o=p.length-1;o>=0;o--){var b=p[o];for(s=b.length-1;s>=0;s--){var _=b[s],w=_.datum;w.offset=_.dp,w.del=_.del}}}(Xt,Yt?\"xa\":\"ya\",u),z(Xt,Yt,u._invScaleX,u._invScaleY));if(s&&s.tagName){var Zt=g.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,It);f(n.select(s),Zt?\"pointer\":\"\")}if(!s||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,Pt))return;Pt&&t.emit(\"plotly_unhover\",{event:e,points:Pt});t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:_,yaxes:w,xvals:V,yvals:H})}(t,e,r,a,s)}))},r.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=j(i),o=U(i),s=I(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,c=t.eventData;if(c){var u=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),d=Math.max(s,l),m=t.trace;if(g.traceIs(m,\"gl3d\")){var v=i._fullLayout[m.scene]._scene.container,y=v.offsetLeft,x=v.offsetTop;u+=y,f+=y,h+=x,d+=x}c.bbox={x0:u+o,x1:f+o,y0:h+a,y1:d+a},e.inOut_bbox&&e.inOut_bbox.push(c.bbox)}else c=!1;return{color:t.color||p.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,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:c}})),{gd:i,hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||p.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}),l=0,c=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&&(c=t.offset)})).each((function(t){t.offset-=c})),z(s,!1,i._fullLayout._invScaleX,i._fullLayout._invScaleY),r?s:s.node()};var P=/<extra>([\\s\\S]*)<\\/extra>/;function I(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,c=e.rotateLabels,f=e.bgColor,d=e.container,m=e.outerContainer,w=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||y.HOVERFONT,k=e.fontSize||y.HOVERFONTSIZE,A=t[0],E=A.xa,L=A.ya,P=a.charAt(0),I=A[P+\"Label\"],z=V(r,m),D=z.top,R=z.width,F=z.height,B=void 0!==I&&A.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(B){var N,j,U=!0;for(N=0;N<t.length;N++)if(U&&void 0===t[N].zLabel&&(U=!1),j=t[N].hoverinfo||t[N].trace.hoverinfo){var H=Array.isArray(j)?j:j.split(\"+\");if(-1===H.indexOf(\"all\")&&-1===H.indexOf(a)){B=!1;break}}U&&(B=!1)}var q=d.selectAll(\"g.axistext\").data(B?[0]:[]);if(q.enter().append(\"g\").classed(\"axistext\",!0),q.exit().remove(),q.each((function(){var t=n.select(this),e=o.ensureSingle(t,\"path\",\"\",(function(t){t.style({\"stroke-width\":\"1px\"})})),l=o.ensureSingle(t,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),c=w.bgcolor||p.defaultLine,f=w.bordercolor||p.contrast(c),d=p.contrast(c),m={family:w.font.family||T,size:w.font.size||k,color:w.font.color||d};e.style({fill:c,stroke:f}),l.text(I).call(h.font,m).call(u.positionText,0,0).call(u.convertToTspans,r),t.attr(\"transform\",\"\");var g,v,y=V(r,l.node());if(\"x\"===a){var x=\"top\"===E.side?\"-\":\"\";l.attr(\"text-anchor\",\"middle\").call(u.positionText,0,\"top\"===E.side?D-y.bottom-M-S:D-y.top+M+S),g=E._offset+(A.x0+A.x1)/2,v=L._offset+(\"top\"===E.side?0:L._length);var b=y.width/2+S;g<b?(g=b,e.attr(\"d\",\"M-\"+(b-M)+\",0L-\"+(b-2*M)+\",\"+x+M+\"H\"+(S+y.width/2)+\"v\"+x+(2*S+y.height)+\"H-\"+b+\"V\"+x+M+\"Z\")):g>i.width-b?(g=i.width-b,e.attr(\"d\",\"M\"+(b-M)+\",0L\"+b+\",\"+x+M+\"v\"+x+(2*S+y.height)+\"H-\"+b+\"V\"+x+M+\"H\"+(b-2*M)+\"Z\")):e.attr(\"d\",\"M0,0L\"+M+\",\"+x+M+\"H\"+(S+y.width/2)+\"v\"+x+(2*S+y.height)+\"H-\"+(S+y.width/2)+\"V\"+x+M+\"H-\"+M+\"Z\")}else{var _,C,P;\"right\"===L.side?(_=\"start\",C=1,P=\"\",g=E._offset+E._length):(_=\"end\",C=-1,P=\"-\",g=E._offset),v=L._offset+(A.y0+A.y1)/2,l.attr(\"text-anchor\",_),e.attr(\"d\",\"M0,0L\"+P+M+\",\"+M+\"V\"+(S+y.height/2)+\"h\"+P+(2*S+y.width)+\"V-\"+(S+y.height/2)+\"H\"+P+M+\"V-\"+M+\"Z\");var O,z=y.height/2,R=D-y.top-z,F=\"clip\"+i._uid+\"commonlabel\"+L._id;if(g<y.width+2*S+M){O=\"M-\"+(M+S)+\"-\"+z+\"h-\"+(y.width-S)+\"V\"+z+\"h\"+(y.width-S)+\"Z\";var B=y.width-g+S;u.positionText(l,B,R),\"end\"===_&&l.selectAll(\"tspan\").each((function(){var t=n.select(this),e=h.tester.append(\"text\").text(t.text()).call(h.font,m),i=V(r,e.node());Math.round(i.width)<Math.round(y.width)&&t.attr(\"x\",B-i.width),e.remove()}))}else u.positionText(l,C*(S+M),R),O=null;var N=i._topclips.selectAll(\"#\"+F).data(O?[0]:[]);N.enter().append(\"clipPath\").attr(\"id\",F).append(\"path\"),N.exit().remove(),N.select(\"path\").attr(\"d\",O),h.setClipUrl(l,O?F:null,r)}t.attr(\"transform\",s(g,v))})),v.isUnifiedHover(a)){d.selectAll(\"g.hovertext\").remove();var G=t.filter((function(t){return\"none\"!==t.hoverinfo}));if(0===G.length)return;var Y=i.hoverlabel,W=Y.font,X={showlegend:!0,legend:{title:{text:I,font:W},font:W,bgcolor:Y.bgcolor,bordercolor:Y.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:i.legend?i.legend.traceorder:void 0,orientation:\"v\"}},Z={font:W};x(X,Z,r._fullData);var J=Z.legend;J.entries=[];for(var K=0;K<G.length;K++){var Q=G[K];if(\"none\"!==Q.hoverinfo){var $=O(Q,!0,a,i,I),tt=$[0],et=$[1];Q.name=et,Q.text=\"\"!==et?et+\" : 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n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=t(\"../../plots/plots\"),o=t(\"../../registry\"),s=t(\"../../lib/events\"),l=t(\"../dragelement\"),c=t(\"../drawing\"),u=t(\"../color\"),f=t(\"../../lib/svg_text_utils\"),h=t(\"./handle_click\"),p=t(\"./constants\"),d=t(\"../../constants/alignment\"),m=d.LINE_SPACING,g=d.FROM_TL,v=d.FROM_BR,y=t(\"./get_legend_data\"),x=t(\"./style\"),b=t(\"./helpers\");function _(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};if(a._group&&(l.group=a._group),o.traceIs(a,\"pie-like\")&&(l.label=r.datum()[0].label),!1!==s.triggerHandler(t,\"plotly_legendclick\",l))if(1===n)e._clickTimeout=setTimeout((function(){t._fullLayout&&h(r,t,n)}),t._context.doubleClickDelay);else 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rectangle\")},attr:\"dragmode\",val:\"drawrect\",icon:o.drawrect,click:f},u.drawcircle={name:\"drawcircle\",title:function(t){return c(t,\"Draw circle\")},attr:\"dragmode\",val:\"drawcircle\",icon:o.drawcircle,click:f},u.eraseshape={name:\"eraseshape\",title:function(t){return c(t,\"Erase active shape\")},icon:o.eraseshape,click:s},u.zoomIn2d={name:\"zoomIn2d\",_cat:\"zoomin\",title:function(t){return c(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:f},u.zoomOut2d={name:\"zoomOut2d\",_cat:\"zoomout\",title:function(t){return c(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:f},u.autoScale2d={name:\"autoScale2d\",_cat:\"autoscale\",title:function(t){return c(t,\"Autoscale\")},attr:\"zoom\",val:\"auto\",icon:o.autoscale,click:f},u.resetScale2d={name:\"resetScale2d\",_cat:\"resetscale\",title:function(t){return c(t,\"Reset axes\")},attr:\"zoom\",val:\"reset\",icon:o.home,click:f},u.hoverClosestCartesian={name:\"hoverClosestCartesian\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:f},u.hoverCompareCartesian={name:\"hoverCompareCartesian\",_cat:\"hoverCompare\",title:function(t){return c(t,\"Compare data on hover\")},attr:\"hovermode\",val:function(t){return t._fullLayout._isHoriz?\"y\":\"x\"},icon:o.tooltip_compare,gravity:\"ne\",click:f},u.zoom3d={name:\"zoom3d\",_cat:\"zoom\",title:function(t){return c(t,\"Zoom\")},attr:\"scene.dragmode\",val:\"zoom\",icon:o.zoombox,click:h},u.pan3d={name:\"pan3d\",_cat:\"pan\",title:function(t){return c(t,\"Pan\")},attr:\"scene.dragmode\",val:\"pan\",icon:o.pan,click:h},u.orbitRotation={name:\"orbitRotation\",title:function(t){return c(t,\"Orbital rotation\")},attr:\"scene.dragmode\",val:\"orbit\",icon:o[\"3d_rotate\"],click:h},u.tableRotation={name:\"tableRotation\",title:function(t){return c(t,\"Turntable rotation\")},attr:\"scene.dragmode\",val:\"turntable\",icon:o[\"z-axis\"],click:h},u.resetCameraDefault3d={name:\"resetCameraDefault3d\",_cat:\"resetCameraDefault\",title:function(t){return c(t,\"Reset camera to default\")},attr:\"resetDefault\",icon:o.home,click:p},u.resetCameraLastSave3d={name:\"resetCameraLastSave3d\",_cat:\"resetCameraLastSave\",title:function(t){return c(t,\"Reset camera to last save\")},attr:\"resetLastSave\",icon:o.movie,click:p},u.hoverClosest3d={name:\"hoverClosest3d\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);n.call(\"_guiRelayout\",t,r)}},u.zoomInGeo={name:\"zoomInGeo\",_cat:\"zoomin\",title:function(t){return c(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:m},u.zoomOutGeo={name:\"zoomOutGeo\",_cat:\"zoomout\",title:function(t){return c(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:m},u.resetGeo={name:\"resetGeo\",_cat:\"reset\",title:function(t){return c(t,\"Reset\")},attr:\"reset\",val:null,icon:o.autoscale,click:m},u.hoverClosestGeo={name:\"hoverClosestGeo\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:v},u.hoverClosestGl2d={name:\"hoverClosestGl2d\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:v},u.hoverClosestPie={name:\"hoverClosestPie\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:v},u.resetViewSankey={name:\"resetSankeyGroup\",title:function(t){return c(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)}},u.toggleHover={name:\"toggleHover\",title:function(t){return c(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)}},u.resetViews={name:\"resetViews\",title:function(t){return c(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\")}},u.toggleSpikelines={name:\"toggleSpikelines\",title:function(t){return c(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))}},u.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(t){return c(t,\"Reset view\")},attr:\"reset\",icon:o.home,click:function(t){x(t,\"mapbox\")}},u.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(t){return c(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:y},u.zoomOutMapbox={name:\"zoomOutMapbox\",_cat:\"zoomout\",title:function(t){return c(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:y}},{\"../../fonts/ploticon\":482,\"../../lib\":503,\"../../plots/cartesian/axis_ids\":558,\"../../plots/plots\":619,\"../../registry\":638,\"../shapes/draw\":450}],427:[function(t,e,r){\"use strict\";var n=t(\"./buttons\"),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(),e.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},{\"./buttons\":426}],428:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../color\"),a=t(\"../../plot_api/plot_template\"),o=t(\"./attributes\");e.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 c=i.contrast(i.rgb(e.modebar.bgcolor));l(\"color\",i.addOpacity(c,.3)),l(\"activecolor\",i.addOpacity(c,.7)),l(\"uirevision\",e.uirevision),l(\"add\"),l(\"remove\")}},{\"../../lib\":503,\"../../plot_api/plot_template\":543,\"../color\":366,\"./attributes\":425}],429:[function(t,e,r){\"use strict\";e.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:t(\"./attributes\"),supplyLayoutDefaults:t(\"./defaults\"),manage:t(\"./manage\")}},{\"./attributes\":425,\"./defaults\":428,\"./manage\":430}],430:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axis_ids\"),i=t(\"../../traces/scatter/subtypes\"),a=t(\"../../registry\"),o=t(\"../fx/helpers\").isUnifiedHover,s=t(\"./modebar\"),l=t(\"./buttons\"),c=t(\"./constants\").DRAW_MODES,u=t(\"../../lib\").extendDeep;e.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=u([],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 u(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(u(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(u(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),m=e._has(\"cartesian\"),g=e._has(\"gl3d\"),v=e._has(\"geo\"),y=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,c=0;c<d.length;c++){var u=d[c].toLowerCase();if(u===a||u===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 P=[],I=[],O=[],z=[];(m||b||y||x||_)+v+g+w+T+k>1?(I=[\"toggleHover\"],O=[\"resetViews\"]):v?(P=[\"zoomInGeo\",\"zoomOutGeo\"],I=[\"hoverClosestGeo\"],O=[\"resetGeo\"]):g?(I=[\"hoverClosest3d\"],O=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(P=[\"zoomInMapbox\",\"zoomOutMapbox\"],I=[\"toggleHover\"],O=[\"resetViewMapbox\"]):b?I=[\"hoverClosestGl2d\"]:y?I=[\"hoverClosestPie\"]:A?(I=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],O=[\"resetViewSankey\"]):I=[\"toggleHover\"];m&&(I=[\"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)&&(I=[]);!m&&!b||M||(P=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],\"resetViews\"!==O[0]&&(O=[\"resetScale2d\"]));g?z=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:(m||b)&&!M||_?z=[\"zoom2d\",\"pan2d\"]:w||v?z=[\"pan2d\"]:T&&(z=[\"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)&&z.push(\"select2d\",\"lasso2d\");var D=[],R=function(t){-1===D.indexOf(t)&&-1!==I.indexOf(t)&&D.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!==c.indexOf(N)?(e._has(\"mapbox\")||e._has(\"cartesian\"))&&z.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(\"toggleHover\"),R(\"hoverClosestCartesian\"),R(\"hoverCompareCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\"))):F.push(N)}p=F}return L(z),L(P.concat(O)),L(D),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)}},{\"../../lib\":503,\"../../plots/cartesian/axis_ids\":558,\"../../registry\":638,\"../../traces/scatter/subtypes\":952,\"../fx/helpers\":402,\"./buttons\":426,\"./constants\":427,\"./modebar\":431}],431:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"fast-isnumeric\"),a=t(\"../../lib\"),o=t(\"../../fonts/ploticon\"),s=t(\"../../version\").version,l=new DOMParser;function c(t){this.container=t.container,this.element=document.createElement(\"div\"),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var u=c.prototype;u.update=function(t,e){this.graphInfo=t;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=\"modebar-\"+n._uid;this.element.setAttribute(\"id\",i),this._uid=i,this.element.className=\"modebar\",\"hover\"===r.displayModeBar&&(this.element.className+=\" modebar--hover ease-bg\"),\"v\"===n.modebar.orientation&&(this.element.className+=\" vertical\",e=e.reverse());var o=n.modebar,s=\"hover\"===r.displayModeBar?\".js-plotly-plot .plotly:hover \":\"\";a.deleteRelatedStyleRule(i),a.addRelatedStyleRule(i,s+\"#\"+i+\" .modebar-group\",\"background-color: \"+o.bgcolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn .icon path\",\"fill: \"+o.color),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn:hover .icon path\",\"fill: \"+o.activecolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn.active .icon path\",\"fill: \"+o.activecolor);var l=!this.hasButtons(e),c=this.hasLogo!==r.displaylogo,u=this.locale!==r.locale;if(this.locale=r.locale,(l||c||u)&&(this.removeAllButtons(),this.updateButtons(e),r.watermark||r.displaylogo)){var f=this.getLogo();r.watermark&&(f.className=f.className+\" watermark\"),\"v\"===n.modebar.orientation?this.element.insertBefore(f,this.element.childNodes[0]):this.element.appendChild(f),this.hasLogo=!0}this.updateActiveButton()},u.updateButtons=function(t){var e=this;this.buttons=t,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach((function(t){var r=e.createGroup();t.forEach((function(t){var n=t.name;if(!n)throw new Error(\"must provide button 'name' in button config\");if(-1!==e.buttonsNames.indexOf(n))throw new Error(\"button name '\"+n+\"' is taken\");e.buttonsNames.push(n);var i=e.createButton(t);e.buttonElements.push(i),r.appendChild(i)})),e.element.appendChild(r)}))},u.createGroup=function(){var t=document.createElement(\"div\");return t.className=\"modebar-group\",t},u.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},u.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)}t.svg&&(e=l.parseFromString(t.svg,\"application/xml\").childNodes[0]);return e.setAttribute(\"height\",\"1em\"),e.setAttribute(\"width\",\"1em\"),e},u.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 c=null===o?o:a.nestedProperty(e,o).get();l.classed(\"active\",c===i)}}))},u.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 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t.match(n.segmentRE).forEach((function(t){var a=e[t.charAt(0)].drawn;if(void 0!==a){var o=t.substr(1).match(n.paramRE);!o||o.length<a||r.push(i.cleanNumber(o[a]))}})),r},r.getDataToPixel=function(t,e,n,i){var a,o=t._fullLayout._size;if(e)if(\"domain\"===i)a=function(t){return e._length*(n?1-t:t)+e._offset};else{var s=r.shapePositionToRange(e);a=function(t){return e._offset+e.r2p(s(t,!0))},\"date\"===e.type&&(a=r.decodeDate(a))}else a=n?function(t){return o.t+o.h*(1-t)}:function(t){return o.l+o.w*t};return a},r.getPixelToData=function(t,e,n,i){var a,o=t._fullLayout._size;if(e)if(\"domain\"===i)a=function(t){var r=(t-e._offset)/e._length;return n?1-r:r};else{var s=r.rangeToShapePosition(e);a=function(t){return s(e.p2r(t-e._offset))}}else a=n?function(t){return 1-(t-o.t)/o.h}:function(t){return(t-o.l)/o.w};return a},r.roundPositionForSharpStrokeRendering=function(t,e){var r=1===Math.round(e%2),n=Math.round(t);return r?n+.5:n},r.makeOptionsAndPlotinfo=function(t,e){var 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n=t(\"../../plots/font_attributes\"),i=t(\"../../plots/pad_attributes\"),a=t(\"../../lib/extend\").extendDeepAll,o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../plots/animation_attributes\"),l=t(\"../../plot_api/plot_template\").templatedArray,c=t(\"./constants\"),u=l(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});e.exports=o(l(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:u,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:a(i({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:s.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:!0},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:n({})},font:n({}),activebgcolor:{valType:\"color\",dflt:c.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:c.railBgColor},bordercolor:{valType:\"color\",dflt:c.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:c.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:c.tickLength},tickcolor:{valType:\"color\",dflt:c.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:c.minorTickLength}}),\"arraydraw\",\"from-root\")},{\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../../plot_api/plot_template\":543,\"../../plots/animation_attributes\":548,\"../../plots/font_attributes\":585,\"../../plots/pad_attributes\":618,\"./constants\":460}],460:[function(t,e,r){\"use 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T={y:e.y,b:u.height*m[w],t:u.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*m[b]):(T.x=e.x,T.l=u.outerLength*d[b],T.r=u.outerLength*m[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})})),u=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)u+=r;else{var h=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(h=s.templateString(h,d)),u+=h}e.currentvalue.suffix&&(u+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(u).call(c.convertToTspans,e._gd);var m=c.lineCount(l),g=(a.currentValueMaxLines+1-m)*e.currentvalue.font.size*p;return 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t=s(),a=L(t,n.mouse(i)[0]);T(e,r,t,a,!1)}function h(){var t=s();t._dragging=!1,l.call(a.fill,t.bgcolor),o.on(\"mouseup\",null),o.on(\"mousemove\",null),o.on(\"touchend\",null),o.on(\"touchmove\",null),e.emit(\"plotly_sliderend\",{slider:t,step:t.steps[t.active]})}T(e,r,t,c,!0),t._dragging=!0,o.on(\"mousemove\",u),o.on(\"touchmove\",u),o.on(\"mouseup\",h),o.on(\"touchend\",h)}t.on(\"mousedown\",l),t.on(\"touchstart\",l)}function M(t,e){var r=t.selectAll(\"rect.\"+f.tickRectClass).data(e._visibleSteps),i=e._dims;r.enter().append(\"rect\").classed(f.tickRectClass,!0),r.exit().remove(),r.attr({width:e.tickwidth+\"px\",\"shape-rendering\":\"crispEdges\"}),r.each((function(t,r){var s=r%i.labelStride==0,l=n.select(this);l.attr({height:s?e.ticklen:e.minorticklen}).call(a.fill,e.tickcolor),o.setTranslate(l,E(e,r/(e._stepCount-1))-.5*e.tickwidth,(s?f.tickOffset:f.minorTickOffset)+i.currentValueTotalHeight)}))}function S(t,e,r){for(var 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n=t(\"@plotly/d3\"),i=t(\"d3-time-format\").utcFormat,a=t(\"d3-format\").format,o=t(\"fast-isnumeric\"),s=t(\"../constants/numerical\"),l=s.FP_SAFE,c=-l,u=s.BADNUM,f=e.exports={};f.adjustFormat=function(t){return!t||/^\\d[.]\\df/.test(t)||/[.]\\d%/.test(t)?t:\"0.f\"===t?\"~f\":/^\\d%/.test(t)?\"~%\":/^\\ds/.test(t)?\"~s\":!/^[~,.0$]/.test(t)&&/[&fps]/.test(t)?\"~\"+t:t};var h={};f.warnBadFormat=function(t){var e=String(t);h[e]||(h[e]=1,f.warn('encountered bad format: \"'+e+'\"'))},f.noFormat=function(t){return String(t)},f.numberFormat=function(t){var e;try{e=a(f.adjustFormat(t))}catch(e){return f.warnBadFormat(t),f.noFormat}return e},f.nestedProperty=t(\"./nested_property\"),f.keyedContainer=t(\"./keyed_container\"),f.relativeAttr=t(\"./relative_attr\"),f.isPlainObject=t(\"./is_plain_object\"),f.toLogRange=t(\"./to_log_range\"),f.relinkPrivateKeys=t(\"./relink_private\");var 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b=0;b<t.calcdata.length;b++)t.calcdata[b][0].trace=t._fullData[b];t._context.responsive?t._responsiveChartHandler||(t._responsiveChartHandler=function(){o.isHidden(t)||h.resize(t)},window.addEventListener(\"resize\",t._responsiveChartHandler)):o.clearResponsive(t);var T=o.extendFlat({},m._size),k=0;function A(){if(h.clearAutoMarginIds(t),w.drawMarginPushers(t),p.allowAutoMargin(t),m._has(\"pie\"))for(var e=t._fullData,r=0;r<e.length;r++){var n=e[r];\"pie\"===n.type&&n.automargin&&h.allowAutoMargin(t,\"pie.\"+n.uid+\".automargin\")}return h.doAutoMargin(t),h.previousPromises(t)}function S(){t._transitioning||(w.doAutoRangeAndConstraints(t),f&&p.saveRangeInitial(t),u.getComponentMethod(\"rangeslider\",\"calcAutorange\")(t))}var E=[h.previousPromises,function(){if(s)return r.addFrames(t,s)},function e(){for(var 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u=e._clips.selectAll(\".axesclip\").data(c,(function(t){return t.x._id+t.y._id}));u.enter().append(\"clipPath\").classed(\"axesclip\",!0).attr(\"id\",(function(t){return\"clip\"+e._uid+t.x._id+t.y._id})).append(\"rect\"),u.exit().remove(),u.each((function(t){n.select(this).select(\"rect\").attr({x:t.x._offset||0,y:t.y._offset||0,width:t.x._length||1,height:t.y._length||1})}))}},H.draw=function(t,e,r){var n=t._fullLayout;\"redraw\"===e&&n._paper.selectAll(\"g.subplot\").each((function(t){var e=t[0],r=n._plots[e];if(r){var i=r.xaxis,a=r.yaxis;r.xaxislayer.selectAll(\".\"+i._id+\"tick\").remove(),r.yaxislayer.selectAll(\".\"+a._id+\"tick\").remove(),r.xaxislayer.selectAll(\".\"+i._id+\"tick2\").remove(),r.yaxislayer.selectAll(\".\"+a._id+\"tick2\").remove(),r.xaxislayer.selectAll(\".\"+i._id+\"divider\").remove(),r.yaxislayer.selectAll(\".\"+a._id+\"divider\").remove(),r.minorGridlayer&&r.minorGridlayer.selectAll(\"path\").remove(),r.gridlayer&&r.gridlayer.selectAll(\"path\").remove(),r.zerolinelayer&&r.zerolinelayer.selectAll(\"path\").remove(),n._infolayer.select(\".g-\"+i._id+\"title\").remove(),n._infolayer.select(\".g-\"+a._id+\"title\").remove()}}));var i=e&&\"redraw\"!==e?e:H.listIds(t);return s.syncOrAsync(i.map((function(e){return function(){if(e){var n=H.getFromId(t,e),i=H.drawOne(t,n,r);return n._r=n.range.slice(),n._rl=s.simpleMap(n._r,n.r2l),i}}})))},H.drawOne=function(t,e,r){var n,i,l;r=r||{},e.setScale();var c=t._fullLayout,p=e._id,d=p.charAt(0),m=H.counterLetter(p),g=c._plots[e._mainSubplot];if(g){var v=g[d+\"axislayer\"],y=e._mainLinePosition,x=e._mainMirrorPosition,b=e._vals=H.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,A=H.makeTransTickFn(e),M=H.makeTransTickLabelFn(e),S=\"inside\"===e.ticks,E=\"outside\"===e.ticks;if(\"boundaries\"===e.tickson){var L=function(t,e){var r,n=[],i=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++)i(e[r],0);i(e[r-1],1)}return n}(0,b);k=H.clipEnds(e,L),T=S?k:L}else k=H.clipEnds(e,b),T=S&&\"period\"!==e.ticklabelmode?k:b;var C,P=e._gridVals=k,I=function(t,e){var r,n,i=[],a=e.length&&e[e.length-1].x<e[0].x,o=function(t,e){var r=t.xbnd[e];null!==r&&i.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,a?1:0),n=l.text2}o(e[r-1],a?0:1)}return i}(e,b);if(!c._hasOnlyLargeSploms){var O=e._subplotsWith,z={};for(n=0;n<O.length;n++){i=O[n];var D=(l=c._plots[i])[m+\"axis\"],R=D._mainAxis._id;if(!z[R]){z[R]=1;var F=\"x\"===d?\"M0,\"+D._offset+\"v\"+D._length:\"M\"+D._offset+\",0h\"+D._length;H.drawGrid(t,e,{vals:P,counterAxis:D,layer:l.gridlayer.select(\".\"+p),minorLayer:l.minorGridlayer.select(\".\"+p),path:F,transFn:A}),H.drawZeroLine(t,e,{counterAxis:D,layer:l.zerolinelayer,path:F,transFn:A})}}}var B=H.getTickSigns(e),N=H.getTickSigns(e,\"minor\");if(e.ticks||e.minor&&e.minor.ticks){var j,q,G,Y,W=H.makeTickPath(e,y,B[2]),X=H.makeTickPath(e,y,N[2],{minor:!0});if(e._anchorAxis&&e.mirror&&!0!==e.mirror?(j=H.makeTickPath(e,x,B[3]),q=H.makeTickPath(e,x,N[3],{minor:!0}),G=W+j,Y=X+q):(j=\"\",q=\"\",G=W,Y=X),e.showdividers&&E&&\"boundaries\"===e.tickson){var Z={};for(n=0;n<I.length;n++)Z[I[n].x]=1;C=function(t){return Z[t.x]?j:G}}else C=function(t){return t.minor?Y:G}}if(H.drawTicks(t,e,{vals:T,layer:v,path:C,transFn:A}),\"allticks\"===e.mirror){var J=Object.keys(e._linepositions||{});for(n=0;n<J.length;n++){i=J[n],l=c._plots[i];var K=e._linepositions[i]||[],Q=K[0],$=K[1],tt=K[2],et=H.makeTickPath(e,Q,tt?B[0]:N[0],{minor:tt})+H.makeTickPath(e,$,tt?B[1]:N[1],{minor:tt});H.drawTicks(t,e,{vals:T,layer:l[d+\"axislayer\"],path:et,transFn:A})}}var rt=[];if(rt.push((function(){return H.drawLabels(t,e,{vals:b,layer:v,plotinfo:l,transFn:M,labelFns:H.makeLabelFns(e,y)})})),\"multicategory\"===e.type){var nt={x:2,y:10}[d];rt.push((function(){var r={x:\"height\",y:\"width\"}[d],n=at()[r]+nt+(e._tickAngles[p+\"tick\"]?e.tickfont.size*U:0);return H.drawLabels(t,e,{vals:vt(e,b),layer:v,cls:p+\"tick2\",repositionOnUpdate:!0,secondary:!0,transFn:A,labelFns:H.makeLabelFns(e,y+n*B[4])})})),rt.push((function(){return e._depth=B[4]*(at(\"tick2\")[e.side]-y),function(t,e,r){var n=e._id+\"divider\",i=r.vals,a=r.layer.selectAll(\"path.\"+n).data(i,xt);a.exit().remove(),a.enter().insert(\"path\",\":first-child\").classed(n,1).classed(\"crisp\",1).call(f.stroke,e.dividercolor).style(\"stroke-width\",h.crispRound(t,e.dividerwidth,1)+\"px\"),a.attr(\"transform\",r.transFn).attr(\"d\",r.path)}(t,e,{vals:I,layer:v,path:H.makeTickPath(e,y,B[4],{len:e._depth}),transFn:A})}))}else e.title.hasOwnProperty(\"standoff\")&&rt.push((function(){e._depth=B[4]*(at()[e.side]-y)}));var it=o.getComponentMethod(\"rangeslider\",\"isVisible\")(e);return rt.push((function(){var r,n,i,s,l=e.side.charAt(0),u=V[e.side].charAt(0),f=H.getPxPosition(t,e),h=E?e.ticklen:0;if((e.automargin||it)&&(\"multicategory\"===e.type?r=at(\"tick2\"):(r=at(),\"x\"===d&&\"b\"===l&&(e._depth=Math.max(r.width>0?r.bottom-f:0,h)))),e.automargin){n={x:0,y:0,r:0,l:0,t:0,b:0};var p=[0,1];if(\"x\"===d){if(\"b\"===l?n[l]=e._depth:(n[l]=e._depth=Math.max(r.width>0?f-r.top:0,h),p.reverse()),r.width>0){var g=r.right-(e._offset+e._length);g>0&&(n.xr=1,n.r=g);var v=e._offset-r.left;v>0&&(n.xl=0,n.l=v)}}else if(\"l\"===l?n[l]=e._depth=Math.max(r.height>0?f-r.left:0,h):(n[l]=e._depth=Math.max(r.height>0?r.right-f:0,h),p.reverse()),r.height>0){var y=r.bottom-(e._offset+e._length);y>0&&(n.yb=0,n.b=y);var x=e._offset-r.top;x>0&&(n.yt=1,n.t=x)}n[m]=\"free\"===e.anchor?e.position:e._anchorAxis.domain[p[0]],e.title.text!==c._dfltTitle[d]&&(n[l]+=bt(e)+(e.title.standoff||0)),e.mirror&&\"free\"!==e.anchor&&((i={x:0,y:0,r:0,l:0,t:0,b:0})[u]=e.linewidth,e.mirror&&!0!==e.mirror&&(i[u]+=h),!0===e.mirror||\"ticks\"===e.mirror?i[m]=e._anchorAxis.domain[p[1]]:\"all\"!==e.mirror&&\"allticks\"!==e.mirror||(i[m]=[e._counterDomainMin,e._counterDomainMax][p[1]]))}it&&(s=o.getComponentMethod(\"rangeslider\",\"autoMarginOpts\")(t,e)),a.autoMargin(t,Tt(e),n),a.autoMargin(t,kt(e),i),a.autoMargin(t,At(e),s)})),r.skipTitle||it&&\"bottom\"===e.side||rt.push((function(){return function(t,e){var r,n=t._fullLayout,i=e._id,a=i.charAt(0),o=e.title.font.size;if(e.title.hasOwnProperty(\"standoff\"))r=e._depth+e.title.standoff+bt(e);else{var s=Pt(e);if(\"multicategory\"===e.type)r=e._depth;else{var l=1.5*o;s&&(l=.5*o,\"outside\"===e.ticks&&(l+=e.ticklen)),r=10+l+(e.linewidth?e.linewidth-1:0)}s||(r+=\"x\"===a?\"top\"===e.side?o*(e.showticklabels?1:0):o*(e.showticklabels?1.5:.5):\"right\"===e.side?o*(e.showticklabels?1:.5):o*(e.showticklabels?.5:0))}var c,f,p,d,m=H.getPxPosition(t,e);\"x\"===a?(f=e._offset+e._length/2,p=\"top\"===e.side?m-r:m+r):(p=e._offset+e._length/2,f=\"right\"===e.side?m+r:m-r,c={rotate:\"-90\",offset:0});if(\"multicategory\"!==e.type){var g=e._selections[e._id+\"tick\"];if(d={selection:g,side:e.side},g&&g.node()&&g.node().parentNode){var v=h.getTranslate(g.node().parentNode);d.offsetLeft=v.x,d.offsetTop=v.y}e.title.hasOwnProperty(\"standoff\")&&(d.pad=0)}return u.draw(t,i+\"title\",{propContainer:e,propName:e._name+\".title.text\",placeholder:n._dfltTitle[a],avoid:d,transform:c,attributes:{x:f,y:p,\"text-anchor\":\"middle\"}})}(t,e)})),s.syncOrAsync(rt)}}function at(t){var r=p+(t||\"tick\");return w[r]||(w[r]=function(t,e){var r,n,i,a;t._selections[e].size()?(r=1/0,n=-1/0,i=1/0,a=-1/0,t._selections[e].each((function(){var t=wt(this),e=h.bBox(t.node().parentNode);r=Math.min(r,e.top),n=Math.max(n,e.bottom),i=Math.min(i,e.left),a=Math.max(a,e.right)}))):(r=0,n=0,i=0,a=0);return{top:r,bottom:n,left:i,right:a,height:n-r,width:a-i}}(e,r)),w[r]}},H.getTickSigns=function(t,e){var r=t._id.charAt(0),n={x:\"top\",y:\"right\"}[r],i=t.side===n?1:-1,a=[-1,1,i,-i];return\"inside\"!==(e?(t.minor||{}).ticks:t.ticks)==(\"x\"===r)&&(a=a.map((function(t){return-t}))),t.side&&a.push({l:-1,t:-1,r:1,b:1}[t.side.charAt(0)]),a},H.makeTransTickFn=function(t){return\"x\"===t._id.charAt(0)?function(e){return l(t._offset+t.l2p(e.x),0)}:function(e){return l(0,t._offset+t.l2p(e.x))}},H.makeTransTickLabelFn=function(t){var e=function(t){var e=t.ticklabelposition||\"\",r=function(t){return-1!==e.indexOf(t)},n=r(\"top\"),i=r(\"left\"),a=r(\"right\"),o=r(\"bottom\"),s=r(\"inside\"),l=o||i||n||a;if(!l&&!s)return[0,0];var c=t.side,u=l?(t.tickwidth||0)/2:0,f=3,h=t.tickfont?t.tickfont.size:12;(o||n)&&(u+=h*j,f+=(t.linewidth||0)/2);(i||a)&&(u+=(t.linewidth||0)/2,f+=3);s&&\"top\"===c&&(f-=h*(1-j));(i||n)&&(u=-u);\"bottom\"!==c&&\"right\"!==c||(f=-f);return[l?u:0,s?f:0]}(t),r=e[0],n=e[1];return\"x\"===t._id.charAt(0)?function(e){return l(r+t._offset+t.l2p(yt(e)),n)}:function(e){return l(n,r+t._offset+t.l2p(yt(e)))}},H.makeTickPath=function(t,e,r,n){n||(n={});var i=n.minor;if(i&&!t.minor)return\"\";var a=void 0!==n.len?n.len:i?t.minor.ticklen:t.ticklen,o=t._id.charAt(0),s=(t.linewidth||1)/2;return\"x\"===o?\"M0,\"+(e+s*r)+\"v\"+a*r:\"M\"+(e+s*r)+\",0h\"+a*r},H.makeLabelFns=function(t,e,r){var n=t.ticklabelposition||\"\",a=function(t){return-1!==n.indexOf(t)},o=a(\"top\"),l=a(\"left\"),c=a(\"right\"),u=a(\"bottom\")||l||o||c,f=a(\"inside\"),h=\"inside\"===n&&\"inside\"===t.ticks||!f&&\"outside\"===t.ticks&&\"boundaries\"!==t.tickson,p=0,d=0,m=h?t.ticklen:0;if(f?m*=-1:u&&(m=0),h&&(p+=m,r)){var g=s.deg2rad(r);p=m*Math.cos(g)+1,d=m*Math.sin(g)}t.showticklabels&&(h||t.showline)&&(p+=.2*t.tickfont.size);var v,y,x,b,_,w={labelStandoff:p+=(t.linewidth||1)/2*(f?-1:1),labelShift:d},T=0,k=t.side,A=t._id.charAt(0),M=t.tickangle;if(\"x\"===A)b=(_=!f&&\"bottom\"===k||f&&\"top\"===k)?1:-1,f&&(b*=-1),v=d*b,y=e+p*b,x=_?1:-.2,90===Math.abs(M)&&(f?x+=N:x=-90===M&&\"bottom\"===k?j:90===M&&\"top\"===k?N:.5,T=N/2*(M/90)),w.xFn=function(t){return t.dx+v+T*t.fontSize},w.yFn=function(t){return t.dy+y+t.fontSize*x},w.anchorFn=function(t,e){if(u){if(l)return\"end\";if(c)return\"start\"}return i(e)&&0!==e&&180!==e?e*b<0!==f?\"end\":\"start\":\"middle\"},w.heightFn=function(e,r,n){return r<-60||r>60?-.5*n:\"top\"===t.side!==f?-n:0};else if(\"y\"===A){if(b=(_=!f&&\"left\"===k||f&&\"right\"===k)?1:-1,f&&(b*=-1),v=p,y=d*b,x=0,f||90!==Math.abs(M)||(x=-90===M&&\"left\"===k||90===M&&\"right\"===k?j:.5),f){var S=i(M)?+M:0;if(0!==S){var E=s.deg2rad(S);T=Math.abs(Math.sin(E))*j*b,x=0}}w.xFn=function(t){return t.dx+e-(v+t.fontSize*x)*b+T*t.fontSize},w.yFn=function(t){return t.dy+y+t.fontSize*N},w.anchorFn=function(t,e){return i(e)&&90===Math.abs(e)?\"middle\":_?\"end\":\"start\"},w.heightFn=function(e,r,n){return\"right\"===t.side&&(r*=-1),r<-30?-n:r<30?-.5*n:0}}return w},H.drawTicks=function(t,e,r){r=r||{};var i=e._id+\"tick\",a=[].concat(e.minor&&e.minor.ticks?r.vals.filter((function(t){return t.minor&&!t.noTick})):[]).concat(e.ticks?r.vals.filter((function(t){return!t.minor&&!t.noTick})):[]),o=r.layer.selectAll(\"path.\"+i).data(a,xt);o.exit().remove(),o.enter().append(\"path\").classed(i,1).classed(\"ticks\",1).classed(\"crisp\",!1!==r.crisp).each((function(t){return f.stroke(n.select(this),t.minor?e.minor.tickcolor:e.tickcolor)})).style(\"stroke-width\",(function(r){return h.crispRound(t,r.minor?e.minor.tickwidth:e.tickwidth,1)+\"px\"})).attr(\"d\",r.path).style(\"display\",null),It(e,[R]),o.attr(\"transform\",r.transFn)},H.drawGrid=function(t,e,r){r=r||{};var i=e._id+\"grid\",a=e.minor&&e.minor.showgrid,o=a?r.vals.filter((function(t){return t.minor})):[],s=e.showgrid?r.vals.filter((function(t){return!t.minor})):[],l=r.counterAxis;if(l&&H.shouldShowZeroLine(t,e,l))for(var c=\"array\"===e.tickmode,u=0;u<s.length;u++){var p=s[u].x;if(c?!p:Math.abs(p)<e.dtick/100){if(s=s.slice(0,u).concat(s.slice(u+1)),!c)break;u--}}e._gw=h.crispRound(t,e.gridwidth,1);for(var d=a?h.crispRound(t,e.minor.gridwidth,1):0,m=r.layer,g=r.minorLayer,v=1;v>=0;v--){var y=v?m:g;if(y){var x=y.selectAll(\"path.\"+i).data(v?s:o,xt);x.exit().remove(),x.enter().append(\"path\").classed(i,1).classed(\"crisp\",!1!==r.crisp),x.attr(\"transform\",r.transFn).attr(\"d\",r.path).each((function(t){return f.stroke(n.select(this),t.minor?e.minor.gridcolor:e.gridcolor||\"#ddd\")})).style(\"stroke-dasharray\",(function(t){return h.dashStyle(t.minor?e.minor.griddash:e.griddash,t.minor?e.minor.gridwidth:e.gridwidth)})).style(\"stroke-width\",(function(t){return(t.minor?d:e._gw)+\"px\"})).style(\"display\",null),\"function\"==typeof r.path&&x.attr(\"d\",r.path)}}It(e,[z,D])},H.drawZeroLine=function(t,e,r){r=r||r;var n=e._id+\"zl\",i=H.shouldShowZeroLine(t,e,r.counterAxis),a=r.layer.selectAll(\"path.\"+n).data(i?[{x:0,id:e._id}]:[]);a.exit().remove(),a.enter().append(\"path\").classed(n,1).classed(\"zl\",1).classed(\"crisp\",!1!==r.crisp).each((function(){r.layer.selectAll(\"path\").sort((function(t,e){return Y(t.id,e.id)}))})),a.attr(\"transform\",r.transFn).attr(\"d\",r.path).call(f.stroke,e.zerolinecolor||f.defaultLine).style(\"stroke-width\",h.crispRound(t,e.zerolinewidth,e._gw||1)+\"px\").style(\"display\",null),It(e,[O])},H.drawLabels=function(t,e,r){r=r||{};var a=t._fullLayout,o=e._id,u=o.charAt(0),f=r.cls||o+\"tick\",p=r.vals.filter((function(t){return t.text})),d=r.labelFns,m=r.secondary?0:e.tickangle,g=(e._prevTickAngles||{})[f],v=r.layer.selectAll(\"g.\"+f).data(e.showticklabels?p:[],xt),y=[];function x(t,a){t.each((function(t){var o=n.select(this),s=o.select(\".text-math-group\"),u=d.anchorFn(t,a),f=r.transFn.call(o.node(),t)+(i(a)&&0!=+a?\" rotate(\"+a+\",\"+d.xFn(t)+\",\"+(d.yFn(t)-t.fontSize/2)+\")\":\"\"),p=c.lineCount(o),m=U*t.fontSize,g=d.heightFn(t,i(a)?+a:0,(p-1)*m);if(g&&(f+=l(0,g)),s.empty()){var v=o.select(\"text\");v.attr({transform:f,\"text-anchor\":u}),v.style(\"opacity\",1),e._adjustTickLabelsOverflow&&e._adjustTickLabelsOverflow()}else{var y=h.bBox(s.node()).width*{end:-.5,start:.5}[u];s.attr(\"transform\",f+l(y,0))}}))}v.enter().append(\"g\").classed(f,1).append(\"text\").attr(\"text-anchor\",\"middle\").each((function(e){var r=n.select(this),i=t._promises.length;r.call(c.positionText,d.xFn(e),d.yFn(e)).call(h.font,e.font,e.fontSize,e.fontColor).text(e.text).call(c.convertToTspans,t),t._promises[i]?y.push(t._promises.pop().then((function(){x(r,m)}))):x(r,m)})),It(e,[F]),v.exit().remove(),r.repositionOnUpdate&&v.each((function(t){n.select(this).select(\"text\").call(c.positionText,d.xFn(t),d.yFn(t))})),e._adjustTickLabelsOverflow=function(){var r=e.ticklabeloverflow;if(r&&\"allow\"!==r){var i=-1!==r.indexOf(\"hide\"),o=\"x\"===e._id.charAt(0),l=0,c=o?t._fullLayout.width:t._fullLayout.height;if(-1!==r.indexOf(\"domain\")){var u=s.simpleMap(e.range,e.r2l);l=e.l2p(u[0])+e._offset,c=e.l2p(u[1])+e._offset}var f=Math.min(l,c),p=Math.max(l,c),d=e.side,m=1/0,g=-1/0;for(var y in v.each((function(t){var 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o=\"tick\"===t.K&&\"text\"===t.L&&\"period\"===e.ticklabelmode,s=a._plots[e._mainSubplot];(t.K===O.K?s.zerolinelayer.selectAll(\".\"+e._id+\"zl\"):t.K===D.K?s.minorGridlayer.selectAll(\".\"+e._id):t.K===z.K?s.gridlayer.selectAll(\".\"+e._id):s[e._id.charAt(0)+\"axislayer\"]).each((function(){var a=n.select(this);t.L&&(a=a.selectAll(t.L)),a.each((function(a){var s=e.l2p(o?yt(a):a.x)+e._offset,l=n.select(this);s<e[\"_visibleLabelMax_\"+r._id]&&s>e[\"_visibleLabelMin_\"+r._id]?l.style(\"display\",\"none\"):\"tick\"!==t.K||i||l.style(\"display\",null)}))}))}))}))},x(v,g+1?g:m);var b=null;e._selections&&(e._selections[f]=v);var _=[function(){return y.length&&Promise.all(y)}];e.automargin&&a._redrawFromAutoMarginCount&&90===g?(b=90,_.push((function(){x(v,g)}))):_.push((function(){if(x(v,m),p.length&&\"x\"===u&&!i(m)&&(\"log\"!==e.type||\"D\"!==String(e.dtick).charAt(0))){b=0;var t,n=0,a=[];if(v.each((function(t){n=Math.max(n,t.fontSize);var 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n=t(\"fast-isnumeric\"),i=t(\"../../registry\"),a=t(\"../../lib\"),o=t(\"../../plot_api/plot_template\"),s=t(\"../array_container_defaults\"),l=t(\"./layout_attributes\"),c=t(\"./tick_value_defaults\"),u=t(\"./tick_mark_defaults\"),f=t(\"./tick_label_defaults\"),h=t(\"./prefix_suffix_defaults\"),p=t(\"./category_order_defaults\"),d=t(\"./line_grid_defaults\"),m=t(\"./set_convert\"),g=t(\"./constants\").WEEKDAY_PATTERN,v=t(\"./constants\").HOUR_PATTERN;function y(t,e,r){function i(r,n){return a.coerce(t,e,l.rangebreaks,r,n)}if(i(\"enabled\")){var o=i(\"bounds\");if(o&&o.length>=2){var s,c,u=\"\";if(2===o.length)for(s=0;s<2;s++)if(c=b(o[s])){u=g;break}var f=i(\"pattern\",u);if(f===g)for(s=0;s<2;s++)(c=b(o[s]))&&(e.bounds[s]=o[s]=c-1);if(f)for(s=0;s<2;s++)switch(c=o[s],f){case g: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[s]=o[s]=c;break;case v:if(!n(c))return void(e.enabled=!1);if((c=+c)<0||c>24)return 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a=Pt.dragmode,s=t._fullLayout.dragmode;s!==a&&(Pt.dragmode=s),yt(),pt=t._fullLayout._invScaleX,dt=t._fullLayout._invScaleY,ot||(gt?e.shiftKey?\"pan\"===s?s=\"zoom\":y(s)||(s=\"pan\"):e.ctrlKey&&(s=\"pan\"):s=\"pan\"),x(s)?Pt.minDrag=1:Pt.minDrag=void 0,y(s)?(Pt.xaxes=J,Pt.yaxes=K,A(e,r,n,Pt,s)):(Pt.clickFn=Ot,y(a)&&It(),ot||(\"zoom\"===s?(Pt.moveFn=zt,Pt.doneFn=Rt,Pt.minDrag=1,function(e,r,n){var a=bt.getBoundingClientRect();_t=r-a.left,wt=n-a.top,t._fullLayout._calcInverseTransform(t);var s=i.apply3DTransform(t._fullLayout._invTransform)(_t,wt);_t=s[0],wt=s[1],Tt={l:_t,r:_t,w:0,t:wt,b:wt,h:0},kt=t._hmpixcount?t._hmlumcount/t._hmpixcount:o(t._fullLayout.plot_bgcolor).getLuminance(),Mt=!1,St=\"xy\",Ct=!1,Et=N(mt,kt,Q,$,At=\"M0,0H\"+tt+\"V\"+et+\"H0V0\"),Lt=j(mt,Q,$)}(0,r,n)):\"pan\"===s&&(Pt.moveFn=Ut,Pt.doneFn=Gt))),t._fullLayout._redrag=function(){var e=t._dragdata;if(e&&e.element===bt){var r=t._fullLayout.dragmode;y(r)||(yt(),Yt([0,0,tt,et]),Pt.moveFn(e.dx,e.dy))}}},g.init(Pt);var 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r,n,a,o,s=t._fullLayout,c=s._plots,u=s._subplots.cartesian;if(ut&&l.subplotsRegistry.splom.drag(t),ct)for(r=0;r<u.length;r++)if(a=(n=c[u[r]]).xaxis,o=n.yaxis,n._scene){var f=i.simpleMap(a.range,a.r2l),p=i.simpleMap(o.range,o.r2l);n._scene.update({range:[f[0],p[0],f[1],p[1]]})}if((ut||ct)&&(_(t),w(t)),ft){var d=e[2]/I._length,g=e[3]/O._length;for(r=0;r<u.length;r++){a=(n=c[u[r]]).xaxis,o=n.yaxis;var y,x,b,T,k=(st||nt.isSubplotConstrained)&&!a.fixedrange&&V[a._id],A=(lt||nt.isSubplotConstrained)&&!o.fixedrange&&Z[o._id];if(k?(y=d,b=v||nt.isSubplotConstrained?e[0]:Zt(a,y)):nt.xaHash[a._id]?(y=d,b=e[0]*a._length/I._length):nt.yaHash[a._id]?(y=g,b=\"ns\"===at?-e[1]*a._length/O._length:Zt(a,y,{n:\"top\",s:\"bottom\"}[at])):b=Xt(a,y=Wt(a,d,g)),A?(x=g,T=m||nt.isSubplotConstrained?e[1]:Zt(o,x)):nt.yaHash[o._id]?(x=g,T=e[1]*o._length/O._length):nt.xaHash[o._id]?(x=d,T=\"ew\"===it?-e[0]*o._length/I._length:Zt(o,x,{e:\"right\",w:\"left\"}[it])):T=Xt(o,x=Wt(o,d,g)),y||x){y||(y=1),x||(x=1);var M=a._offset-b/y,S=o._offset-T/x;n.clipRect.call(h.setTranslate,b,T).call(h.setScale,y,x),n.plot.call(h.setTranslate,M,S).call(h.setScale,1/y,1/x),y===n.xScaleFactor&&x===n.yScaleFactor||(h.setPointGroupScale(n.zoomScalePts,y,x),h.setTextPointsScale(n.zoomScaleTxt,y,x)),h.hideOutsideRangePoints(n.clipOnAxisFalseTraces,n),n.xScaleFactor=y,n.yScaleFactor=x}}}}function Wt(t,e,r){return t.fixedrange?0:st&&rt.xaHash[t._id]?e:lt&&(rt.isSubplotConstrained?rt.xaHash:rt.yaHash)[t._id]?r:0}function Xt(t,e){return e?(t.range=t._r.slice(),E(t,e),Zt(t,e)):0}function Zt(t,e,r){return t._length*(1-e)*b[r||t.constraintoward||\"middle\"]}return m.length*v.length!=1&&W(bt,(function(e){if(t._context._scrollZoom.cartesian||t._fullLayout._enablescrollzoom){if(It(),t._transitioningWithDuration)return e.preventDefault(),void e.stopPropagation();yt(),clearTimeout(Bt);var r=-e.deltaY;if(isFinite(r)||(r=e.wheelDelta/10),isFinite(r)){var n,a=Math.exp(-Math.min(Math.max(r,-20),20)/200),o=jt.draglayer.select(\".nsewdrag\").node().getBoundingClientRect(),s=(e.clientX-o.left)/o.width,l=(o.bottom-e.clientY)/o.height;if(st){for(v||(s=.5),n=0;n<J.length;n++)c(J[n],s,a);Vt(\"x\"),Ft[2]*=a,Ft[0]+=Ft[2]*s*(1/a-1)}if(lt){for(m||(l=.5),n=0;n<K.length;n++)c(K[n],l,a);Vt(\"y\"),Ft[3]*=a,Ft[1]+=Ft[3]*(1-l)*(1/a-1)}Yt(Ft),Ht(),t.emit(\"plotly_relayouting\",ht),Bt=setTimeout((function(){t._fullLayout&&(Ft=[0,0,tt,et],Gt())}),Nt),e.preventDefault()}else i.log(\"Did not find wheel motion attributes: \",e)}function c(t,e,r){if(!t.fixedrange){var n=i.simpleMap(t.range,t.r2l),a=n[0]+(n[1]-n[0])*e;t.range=n.map((function(e){return t.l2r(a+(e-a)*r)}))}}})),bt},makeDragger:O,makeRectDragger:z,makeZoombox:N,makeCorners:j,updateZoombox:U,xyCorners:G,transitionZoombox:V,removeZoombox:H,showDoubleClickNotifier:q,attachWheelEventHandler:W}},{\"../../components/color\":366,\"../../components/dragelement\":385,\"../../components/dragelement/helpers\":384,\"../../components/drawing\":388,\"../../components/fx\":406,\"../../constants/alignment\":471,\"../../lib\":503,\"../../lib/clear_gl_canvases\":487,\"../../lib/setcursor\":524,\"../../lib/svg_text_utils\":529,\"../../plot_api/subroutines\":544,\"../../registry\":638,\"../plots\":619,\"./axes\":554,\"./axis_ids\":558,\"./constants\":561,\"./scale_zoom\":574,\"./select\":575,\"@plotly/d3\":58,\"has-passive-events\":229,tinycolor2:312}],564:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/fx\"),a=t(\"../../components/dragelement\"),o=t(\"../../lib/setcursor\"),s=t(\"./dragbox\").makeDragBox,l=t(\"./constants\").DRAGGERSIZE;r.initInteractions=function(t){var e=t._fullLayout;if(t._context.staticPlot)n.select(t).selectAll(\".drag\").remove();else if(e._has(\"cartesian\")||e._has(\"splom\")){Object.keys(e._plots||{}).sort((function(t,r){if((e._plots[t].mainplot&&!0)===(e._plots[r].mainplot&&!0)){var n=t.split(\"y\"),i=r.split(\"y\");return n[0]===i[0]?Number(n[1]||1)-Number(i[1]||1):Number(n[0]||1)-Number(i[0]||1)}return e._plots[t].mainplot?1:-1})).forEach((function(r){var n=e._plots[r],o=n.xaxis,c=n.yaxis;if(!n.mainplot){var 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]&&i.hover(t,e,r)},i.hover(t,e,r),t._fullLayout._lasthover=u,t._fullLayout._hoversubplot=r},u.onmouseout=function(e){t._dragging||(t._fullLayout._hoversubplot=null,a.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 f=o._mainLinePosition;\"top\"===o.side&&(f-=l),s(t,n,o._offset+.1*o._length,f,.8*o._length,l,\"\",\"ew\"),s(t,n,o._offset,f,.1*o._length,l,\"\",\"w\"),s(t,n,o._offset+.9*o._length,f,.1*o._length,l,\"\",\"e\")}if(r===c._mainSubplot){var h=c._mainLinePosition;\"right\"!==c.side&&(h-=l),s(t,n,h,c._offset+.1*c._length,l,.8*c._length,\"ns\",\"\"),s(t,n,h,c._offset+.9*c._length,l,.1*c._length,\"s\",\"\"),s(t,n,h,c._offset,l,.1*c._length,\"n\",\"\")}}}));var o=e._hoverlayer.node();o.onmousemove=function(r){r.target=t._fullLayout._lasthover,i.hover(t,r,e._hoversubplot)},o.onclick=function(e){e.target=t._fullLayout._lasthover,i.click(t,e)},o.onmousedown=function(e){t._fullLayout._lasthover.onmousedown(e)},r.updateFx(t)}},r.updateFx=function(t){var e=t._fullLayout,r=\"pan\"===e.dragmode?\"move\":\"crosshair\";o(e._draggers,r)}},{\"../../components/dragelement\":385,\"../../components/fx\":406,\"../../lib/setcursor\":524,\"./constants\":561,\"./dragbox\":563,\"@plotly/d3\":58}],565:[function(t,e,r){\"use strict\";e.exports={clearOutlineControllers:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".outline-controllers\").remove()},clearSelect:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".select-outline\").remove(),t._fullLayout._drawing=!1}}},{}],566:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").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)}}e.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)}}},{\"../../lib\":503}],567:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"./axis_ids\");e.exports=function(t){return function(e,r){var o=e[t];if(Array.isArray(o))for(var s=n.subplotsRegistry.cartesian,l=s.idRegex,c=r._subplots,u=c.xaxis,f=c.yaxis,h=c.cartesian,p=r._has(\"cartesian\")||r._has(\"gl2d\"),d=0;d<o.length;d++){var m=o[d];if(i.isPlainObject(m)){var g=a.cleanId(m.xref,\"x\",!1),v=a.cleanId(m.yref,\"y\",!1),y=l.x.test(g),x=l.y.test(v);if(y||x){p||i.pushUnique(r._basePlotModules,s);var b=!1;y&&-1===u.indexOf(g)&&(u.push(g),b=!0),x&&-1===f.indexOf(v)&&(f.push(v),b=!0),b&&y&&x&&h.push(g+v)}}}}}},{\"../../lib\":503,\"../../registry\":638,\"./axis_ids\":558}],568:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../registry\"),a=t(\"../../lib\"),o=t(\"../plots\"),s=t(\"../../components/drawing\"),l=t(\"../get_data\").getModuleCalcData,c=t(\"./axis_ids\"),u=t(\"./constants\"),f=t(\"../../constants/xmlns_namespaces\"),h=a.ensureSingle;function p(t,e,r){return a.ensureSingle(t,e,r,(function(t){t.datum(r)}))}function d(t,e,r,a,o){for(var c,f,h,p=u.traceLayerClasses,d=t._fullLayout,m=d._modules,g=[],v=[],y=0;y<m.length;y++){var x=(c=m[y]).name,b=i.modules[x].categories;if(b.svg){var _=c.layerName||x+\"layer\",w=c.plot;h=(f=l(r,w))[0],r=f[1],h.length&&g.push({i:p.indexOf(_),className:_,plotMethod:w,cdModule:h}),b.zoomScale&&v.push(\".\"+_)}}g.sort((function(t,e){return t.i-e.i}));var T=e.plot.selectAll(\"g.mlayer\").data(g,(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 i=n.select(this),l=r.className;r.plotMethod(t,e,r.cdModule,i,a,o),-1===u.clipOnAxisFalseQuery.indexOf(\".\"+l)&&s.setClipUrl(i,e.layerClipId,t)})),d._has(\"scattergl\")&&(c=i.getModule(\"scattergl\"),h=l(r,c)[0],c.plot(t,e,h)),!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 m(t,e){var r=e.plotgroup,n=e.id,i=u.layerValue2layerClass[e.xaxis.layer],a=u.layerValue2layerClass[e.yaxis.layer],o=t._fullLayout._hasOnlyLargeSploms;if(e.mainplot){var s=e.mainplotinfo,l=s.plotgroup,f=n+\"-x\",d=n+\"-y\";e.minorGridlayer=s.minorGridlayer,e.gridlayer=s.gridlayer,e.zerolinelayer=s.zerolinelayer,h(s.overlinesBelow,\"path\",f),h(s.overlinesBelow,\"path\",d),h(s.overaxesBelow,\"g\",f),h(s.overaxesBelow,\"g\",d),e.plot=h(s.overplot,\"g\",n),h(s.overlinesAbove,\"path\",f),h(s.overlinesAbove,\"path\",d),h(s.overaxesAbove,\"g\",f),h(s.overaxesAbove,\"g\",d),e.xlines=l.select(\".overlines-\"+i).select(\".\"+f),e.ylines=l.select(\".overlines-\"+a).select(\".\"+d),e.xaxislayer=l.select(\".overaxes-\"+i).select(\".\"+f),e.yaxislayer=l.select(\".overaxes-\"+a).select(\".\"+d)}else 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yt=b(\"rangeslider\",\"handleDefaults\"),xt=b(\"rangeselector\",\"handleDefaults\");for(y=0;y<j.length;y++)q=j[y],W=t[q],X=e[q],yt(t,e,q),\"date\"===X.type&&xt(W,X,e,U,X.calendar),K(\"fixedrange\");for(y=0;y<U.length;y++){q=U[y],W=t[q],X=e[q];var bt=e[m(X.anchor)];K(\"fixedrange\",b(\"rangeslider\",\"isVisible\")(bt))}h.handleDefaults(t,e,{axIds:rt.concat(it).sort(d.idSort),axHasImage:P})}},{\"../../components/color\":366,\"../../components/fx/helpers\":402,\"../../components/fx/hovermode_defaults\":405,\"../../lib\":503,\"../../plot_api/plot_template\":543,\"../../registry\":638,\"../layout_attributes\":610,\"./axis_defaults\":556,\"./axis_ids\":558,\"./constants\":561,\"./constraints\":562,\"./layout_attributes\":569,\"./position_defaults\":572,\"./type_defaults\":582}],571:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,i=t(\"../../components/color/attributes\"),a=t(\"../../lib\");e.exports=function(t,e,r,o){var s=(o=o||{}).dfltColor;function l(r,n){return a.coerce2(t,e,o.attributes,r,n)}var c=l(\"linecolor\",s),u=l(\"linewidth\");r(\"showline\",o.showLine||!!c||!!u)||(delete e.linecolor,delete e.linewidth);var f=l(\"gridcolor\",n(s,o.bgColor,o.blend||i.lightFraction).toRgbString()),h=l(\"gridwidth\"),p=l(\"griddash\");if(r(\"showgrid\",o.showGrid||!!f||!!h||!!p)||(delete e.gridcolor,delete e.gridwidth,delete e.griddash),o.hasMinor){var d=l(\"minor.gridcolor\",n(e.gridcolor,o.bgColor,67).toRgbString()),m=l(\"minor.gridwidth\",e.gridwidth||1),g=l(\"minor.griddash\",e.griddash||\"solid\");r(\"minor.showgrid\",!!d||!!m||!!g)||(delete e.minor.gridcolor,delete e.minor.gridwidth,delete e.minor.griddash)}if(!o.noZeroLine){var v=l(\"zerolinecolor\",s),y=l(\"zerolinewidth\");r(\"zeroline\",o.showGrid||!!v||!!y)||(delete e.zerolinecolor,delete e.zerolinewidth)}}},{\"../../components/color/attributes\":365,\"../../lib\":503,tinycolor2:312}],572:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\");e.exports=function(t,e,r,a){var o,s,l,c,u=a.counterAxes||[],f=a.overlayableAxes||[],h=a.letter,p=a.grid;p&&(s=p._domains[h][p._axisMap[e._id]],o=p._anchors[e._id],s&&(l=p[h+\"side\"].split(\" \")[0],c=p.domain[h][\"right\"===l||\"top\"===l?1:0])),s=s||[0,1],o=o||(n(t.position)?\"free\":u[0]||\"free\"),l=l||(\"x\"===h?\"bottom\":\"left\"),c=c||0,\"free\"===i.coerce(t,e,{anchor:{valType:\"enumerated\",values:[\"free\"].concat(u),dflt:o}},\"anchor\")&&r(\"position\",c),i.coerce(t,e,{side:{valType:\"enumerated\",values:\"x\"===h?[\"bottom\",\"top\"]:[\"left\",\"right\"],dflt:l}},\"side\");var d=!1;if(f.length&&(d=i.coerce(t,e,{overlaying:{valType:\"enumerated\",values:[!1].concat(f),dflt:!1}},\"overlaying\")),!d){var m=r(\"domain\",s);m[0]>m[1]-1/4096&&(e.domain=s),i.noneOrAll(t.domain,e.domain,s)}return r(\"layer\"),e}},{\"../../lib\":503,\"fast-isnumeric\":190}],573:[function(t,e,r){\"use strict\";var n=t(\"./show_dflt\");e.exports=function(t,e,r,i,a){a||(a={});var o=a.tickSuffixDflt,s=n(t);r(\"tickprefix\")&&r(\"showtickprefix\",s),r(\"ticksuffix\",o)&&r(\"showticksuffix\",s)}},{\"./show_dflt\":577}],574:[function(t,e,r){\"use strict\";var n=t(\"../../constants/alignment\").FROM_BL;e.exports=function(t,e,r){void 0===r&&(r=n[t.constraintoward||\"center\"]);var i=[t.r2l(t.range[0]),t.r2l(t.range[1])],a=i[0]+(i[1]-i[0])*r;t.range=t._input.range=[t.l2r(a+(i[0]-a)*e),t.l2r(a+(i[1]-a)*e)],t.setScale()}},{\"../../constants/alignment\":471}],575:[function(t,e,r){\"use strict\";var n=t(\"polybooljs\"),i=t(\"../../registry\"),a=t(\"../../components/drawing\").dashStyle,o=t(\"../../components/color\"),s=t(\"../../components/fx\"),l=t(\"../../components/fx/helpers\").makeEventData,c=t(\"../../components/dragelement/helpers\"),u=c.freeMode,f=c.rectMode,h=c.drawMode,p=c.openMode,d=c.selectMode,m=t(\"../../components/shapes/draw_newshape/display_outlines\"),g=t(\"../../components/shapes/draw_newshape/helpers\").handleEllipse,v=t(\"../../components/shapes/draw_newshape/newshapes\"),y=t(\"../../lib\"),x=t(\"../../lib/polygon\"),b=t(\"../../lib/throttle\"),_=t(\"./axis_ids\").getFromId,w=t(\"../../lib/clear_gl_canvases\"),T=t(\"../../plot_api/subroutines\").redrawReglTraces,k=t(\"./constants\"),A=k.MINSELECT,M=x.filter,S=x.tester,E=t(\"./handle_outline\").clearSelect,L=t(\"./helpers\"),C=L.p2r,P=L.axValue,I=L.getTransform;function O(t,e,r,n,i,a,o){var s,l,c,u,f,h,d,g,v,y=e._hoverdata,x=e._fullLayout.clickmode.indexOf(\"event\")>-1,b=[];if(function(t){return 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e=[],r=z(t[0])?0:t[0][0][0],n=r,i=z(t[0])?0:t[0][0][1],a=i,o=0;o<t.length;o++)if(z(t[o]))e.push(D(t[o]));else{var s=x.tester(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=!1===e[o].subtract);return a},isRect:!1,degenerate:!1}}function F(t,e,r){e._fullLayout._drawing=!1;var n=e._fullLayout,i=r.plotinfo,a=r.dragmode,o=n._lastSelectedSubplot&&n._lastSelectedSubplot===i.id,s=(t.shiftKey||t.altKey)&&!(h(a)&&p(a));o&&s&&i.selection&&i.selection.selectionDefs&&!r.selectionDefs?(r.selectionDefs=i.selection.selectionDefs,r.mergedPolygons=i.selection.mergedPolygons):s&&i.selection||B(r),o||(E(e),n._lastSelectedSubplot=i.id)}function B(t){var e=t.dragmode,r=t.plotinfo,n=t.gd;if(n._fullLayout._activeShapeIndex>=0&&n._fullLayout._deactivateShape(n),h(e)){var 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r=this.bounds,n=(e.framewidth||0)/2,i=r[0][0]-n,a=r[0][1]-n,o=r[1][0]-i+n,s=r[1][1]-a+n;h.setRect(this.clipRect,i,a,o,s),this.bgRect.call(h.setRect,i,a,o,s).call(f.fill,e.bgcolor),this.xaxis._offset=i,this.xaxis._length=o,this.yaxis._offset=a,this.yaxis._length=s},S.updateFx=function(t,e){var r=this,i=r.graphDiv,a=r.bgRect,o=t.dragmode,s=t.clickmode;if(!r.isStatic){var u;\"select\"===o?u=function(t,e){(t.range={})[r.id]=[h([e.xmin,e.ymin]),h([e.xmax,e.ymax])]}:\"lasso\"===o&&(u=function(t,e,n){(t.lassoPoints={})[r.id]=n.filtered.map(h)});var f={element:r.bgRect.node(),gd:i,plotinfo:{id:r.id,xaxis:r.xaxis,yaxis:r.yaxis,fillRangeItems:u},xaxes:[r.xaxis],yaxes:[r.yaxis],subplot:r.id,clickFn:function(t){2===t&&x(i)}};\"pan\"===o?(a.node().onmousedown=null,a.call(_(r,e)),a.on(\"dblclick.zoom\",(function(){var t=r.viewInitial,e={};for(var n in 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t=this,e=t.graphDiv,r=e._fullLayout,i=\"clip\"+r._uid+t.id;t.clipDef=r._clips.append(\"clipPath\").attr(\"id\",i),t.clipRect=t.clipDef.append(\"rect\"),t.framework=n.select(t.container).append(\"g\").attr(\"class\",\"geo \"+t.id).call(h.setClipUrl,i,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\"},m.setConvert(t.mockAxis,r)},S.saveViewInitial=function(t){var 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e=t._fullLayout,r=t.calcdata,i=e._subplots.geo,s=0;s<i.length;s++){var l=i[s],c=n(r,o,l),u=e[l]._subplot;u||(u=a({id:l,graphDiv:t,container:e._geolayer.node(),topojsonURL:t._context.topojsonURL,staticPlot:t._context.staticPlot}),e[l]._subplot=u),u.plot(c,e,t._promises)}},updateFx:function(t){for(var e=t._fullLayout,r=e._subplots.geo,n=0;n<r.length;n++){var i=e[r[n]];i._subplot.updateFx(e,i)}},clean:function(t,e,r,n){for(var i=n._subplots.geo||[],a=0;a<i.length;a++){var o=i[a],s=n[o]._subplot;!e[o]&&s&&(s.framework.remove(),s.clipDef.remove())}}}},{\"../../lib\":503,\"../../plots/get_data\":593,\"./geo\":588,\"./layout_attributes\":590,\"./layout_defaults\":591}],590:[function(t,e,r){\"use strict\";var n=t(\"../../components/color/attributes\"),i=t(\"../domain\").attributes,a=t(\"../../components/drawing/attributes\").dash,o=t(\"./constants\"),s=t(\"../../plot_api/edit_types\").overrideAll,l=t(\"../../lib/sort_object_keys\"),c={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},griddash:a};(e.exports=s({domain:i({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:l(o.scopeDefaults),dflt:\"world\"},projection:{type:{valType:\"enumerated\",values:l(o.projNames)},rotation:{lon:{valType:\"number\"},lat:{valType:\"number\"},roll:{valType:\"number\"}},tilt:{valType:\"number\",dflt:0},distance:{valType:\"number\",min:1.001,dflt:2},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:o.landColor},showocean:{valType:\"boolean\",dflt:!1},oceancolor:{valType:\"color\",dflt:o.waterColor},showlakes:{valType:\"boolean\",dflt:!1},lakecolor:{valType:\"color\",dflt:o.waterColor},showrivers:{valType:\"boolean\",dflt:!1},rivercolor:{valType:\"color\",dflt:o.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:c,lataxis:c},\"plot\",\"from-root\")).uirevision={valType:\"any\",editType:\"none\"}},{\"../../components/color/attributes\":365,\"../../components/drawing/attributes\":387,\"../../lib/sort_object_keys\":526,\"../../plot_api/edit_types\":536,\"../domain\":584,\"./constants\":587}],591:[function(t,e,r){\"use 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d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,a=r.mirror||!1,u=c?-1!==String(a).indexOf(\"all\"):!!a,f=c?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[h]=r.showline),(l||u)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var 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n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"./scene2d\"),a=t(\"../layout_attributes\"),o=t(\"../../constants/xmlns_namespaces\"),s=t(\"../cartesian/constants\"),l=t(\"../cartesian\"),c=t(\"../../components/fx/layout_attributes\"),u=t(\"../get_data\").getSubplotData;r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t(\"../cartesian/attributes\"),r.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];if(s._scene2d){var c=u(t,\"gl2d\",o);0===c.length&&(s._scene2d.destroy(),delete n._plots[o])}}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{\"../../components/fx/layout_attributes\":407,\"../../constants/xmlns_namespaces\":480,\"../../plot_api/edit_types\":536,\"../cartesian\":568,\"../cartesian/attributes\":552,\"../cartesian/constants\":561,\"../get_data\":593,\"../layout_attributes\":610,\"./scene2d\":597}],597:[function(t,e,r){\"use strict\";var n,i,a=t(\"../../registry\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../../components/fx\"),l=t(\"../../../stackgl_modules\").gl_plot2d,c=t(\"../../../stackgl_modules\").gl_spikes2d,u=t(\"../../../stackgl_modules\").gl_select_box,f=t(\"webgl-context\"),h=t(\"./convert\"),p=t(\"./camera\"),d=t(\"../../lib/show_no_webgl_msg\"),m=t(\"../cartesian/constraints\"),g=m.enforce,v=m.clean,y=t(\"../cartesian/autorange\").doAutoRange,x=t(\"../../components/dragelement/helpers\"),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=t(\"../cartesian/constants\").SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r);var a=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=a[4*(r*o+l)+c];a[4*(r*o+l)+c]=a[4*(r*s+l)+c],a[4*(r*s+l)+c]=u}var f=document.createElement(\"canvas\");f.width=r,f.height=i;var h,p=f.getContext(\"2d\",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":h=f.toDataURL(\"image/jpeg\");break;case\"webp\":h=f.toDataURL(\"image/webp\");break;default:h=f.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};v(s,this.xaxis),v(s,this.yaxis);var l,c,u=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[u.l+f[0]*u.w,u.b+h[0]*u.h,i-u.r-(1-f[1])*u.w,a-u.t-(1-h[1])*u.h],this.mouseContainer.style.width=u.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=u.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=u.h*(h[1]-h[0]),this.mouseContainer.style.left=u.l+f[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-h[1])*u.h+\"px\",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],c=this.traces[i.uid];c?c.update(i,l):(c=i._module.plot(this,i,l),this.traces[i.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var m=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),m.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var g=this.fullData[m.trace.index]||{},v=m.pointIndex,y=s.castHoverinfo(g,i,v);if(y&&\"all\"!==y){var x=y.split(\"+\");-1===x.indexOf(\"x\")&&(m.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(m.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(m.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(m.textLabel=void 0),-1===x.indexOf(\"name\")&&(m.name=void 0)}s.loneHover({x:m.screenCoord[0],y:m.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",m.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",m.traceCoord[1]),zLabel:m.traceCoord[2],text:m.textLabel,name:m.name,color:s.castHoverOption(g,v,\"bgcolor\")||m.color,borderColor:s.castHoverOption(g,v,\"bordercolor\"),fontFamily:s.castHoverOption(g,v,\"font.family\"),fontSize:s.castHoverOption(g,v,\"font.size\"),fontColor:s.castHoverOption(g,v,\"font.color\"),nameLength:s.castHoverOption(g,v,\"namelength\"),textAlign:s.castHoverOption(g,v,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../../stackgl_modules\":1124,\"../../components/dragelement/helpers\":384,\"../../components/fx\":406,\"../../lib/show_no_webgl_msg\":525,\"../../plots/cartesian/axes\":554,\"../../registry\":638,\"../cartesian/autorange\":553,\"../cartesian/constants\":561,\"../cartesian/constraints\":562,\"./camera\":594,\"./convert\":595,\"webgl-context\":331}],598:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../components/fx/layout_attributes\"),a=t(\"./scene\"),o=t(\"../get_data\").getSubplotData,s=t(\"../../lib\"),l=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=r.attrRegex=s.counterRegex(\"scene\"),r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,i=0;i<n.length;i++){var s=n[i],l=o(r,\"gl3d\",s),c=e[s],u=c.camera,f=c._scene;f||(f=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=f),f.viewInitial||(f.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),f.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl3d||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{\"../../components/fx/layout_attributes\":407,\"../../constants/xmlns_namespaces\":480,\"../../lib\":503,\"../../plot_api/edit_types\":536,\"../get_data\":593,\"./layout/attributes\":599,\"./layout/defaults\":603,\"./layout/layout_attributes\":604,\"./scene\":608}],599:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],600:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),i=t(\"../../cartesian/layout_attributes\"),a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,rangemode:i.rangemode,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},{\"../../../components/color\":366,\"../../../lib/extend\":493,\"../../../plot_api/edit_types\":536,\"../../cartesian/layout_attributes\":569}],601:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,i=t(\"../../../lib\"),a=t(\"../../../plot_api/plot_template\"),o=t(\"./axis_attributes\"),s=t(\"../../cartesian/type_defaults\"),l=t(\"../../cartesian/axis_defaults\"),c=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){var u,f;function h(t,e){return i.coerce(u,f,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(u,f,h,r),l(u,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,13600/187).toRgbString()),h(\"title.text\",d[0]),f.setScale=i.noop,h(\"showspikes\")&&(h(\"spikesides\"),h(\"spikethickness\"),h(\"spikecolor\",f.color)),h(\"showaxeslabels\"),h(\"showbackground\")&&h(\"backgroundcolor\")}}},{\"../../../lib\":503,\"../../../plot_api/plot_template\":543,\"../../cartesian/axis_defaults\":556,\"../../cartesian/type_defaults\":582,\"./axis_attributes\":600,tinycolor2:312}],602:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=0;r<3;++r){var o=e[a[r]];o.visible?(this.labels[r]=t._meta?i.templateString(o.title.text,t._meta):o.title.text,\"font\"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),\"showline\"in o&&(this.lineEnable[r]=o.showline),\"linecolor\"in o&&(this.lineColor[r]=n(o.linecolor)),\"linewidth\"in o&&(this.lineWidth[r]=o.linewidth),\"showgrid\"in o&&(this.gridEnable[r]=o.showgrid),\"gridcolor\"in o&&(this.gridColor[r]=n(o.gridcolor)),\"gridwidth\"in o&&(this.gridWidth[r]=o.gridwidth),\"log\"===o.type?this.zeroEnable[r]=!1:\"zeroline\"in o&&(this.zeroEnable[r]=o.zeroline),\"zerolinecolor\"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),\"zerolinewidth\"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),\"ticks\"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,\"ticklen\"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),\"tickcolor\"in o&&(this.lineTickColor[r]=n(o.tickcolor)),\"tickwidth\"in o&&(this.lineTickWidth[r]=o.tickwidth),\"tickangle\"in o&&(this.tickAngle[r]=\"auto\"===o.tickangle?-3600:Math.PI*-o.tickangle/180),\"showticklabels\"in o&&(this.tickEnable[r]=o.showticklabels),\"tickfont\"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),\"mirror\"in o?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,\"showbackground\"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{\"../../../lib\":503,\"../../../lib/str2rgbarray\":528}],603:[function(t,e,r){\"use strict\";var n=t(\"../../../lib\"),i=t(\"../../../components/color\"),a=t(\"../../../registry\"),o=t(\"../../subplot_defaults\"),s=t(\"./axis_defaults\"),l=t(\"./layout_attributes\"),c=t(\"../../get_data\").getSubplotData;function u(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),u=[\"up\",\"center\",\"eye\"],f=0;f<u.length;f++)r(\"camera.\"+u[f]+\".x\"),r(\"camera.\"+u[f]+\".y\"),r(\"camera.\"+u[f]+\".z\");r(\"camera.projection.type\");var h=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),p=r(\"aspectmode\",h?\"manual\":\"auto\");h||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===p&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var d=c(n.fullData,\"gl3d\",n.id);s(t,e,{font:n.font,scene:n.id,data:d,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var m=n.getDfltFromLayout(\"dragmode\");if(!1!==m&&!m)if(m=\"orbit\",t.camera&&t.camera.up){var g=t.camera.up.x,v=t.camera.up.y,y=t.camera.up.z;0!==y&&(g&&v&&y?y/Math.sqrt(g*g+v*v+y*y)>.999&&(m=\"turntable\"):m=\"turntable\")}else m=\"turntable\";r(\"dragmode\",m),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:\"gl3d\",attributes:l,handleDefaults:u,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":366,\"../../../lib\":503,\"../../../registry\":638,\"../../get_data\":593,\"../../subplot_defaults\":632,\"./axis_defaults\":601,\"./layout_attributes\":604}],604:[function(t,e,r){\"use strict\";var n=t(\"./axis_attributes\"),i=t(\"../../domain\").attributes,a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../lib\").counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}e.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},{\"../../../lib\":503,\"../../../lib/extend\":493,\"../../domain\":584,\"./axis_attributes\":600}],605:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new a;return e.merge(t),e}},{\"../../../lib/str2rgbarray\":528}],606:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[a[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var f=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var h=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/h)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\"date\"===u.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[c]=p,u.tickmode=f}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=t(\"../../cartesian/axes\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},{\"../../../lib\":503,\"../../cartesian/axes\":554}],607:[function(t,e,r){\"use strict\";function n(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],608:[function(t,e,r){\"use strict\";var n,i,a=t(\"../../../stackgl_modules\").gl_plot3d,o=a.createCamera,s=a.createScene,l=t(\"webgl-context\"),c=t(\"has-passive-events\"),u=t(\"../../registry\"),f=t(\"../../lib\"),h=f.preserveDrawingBuffer(),p=t(\"../../plots/cartesian/axes\"),d=t(\"../../components/fx\"),m=t(\"../../lib/str2rgbarray\"),g=t(\"../../lib/show_no_webgl_msg\"),v=t(\"./project\"),y=t(\"./layout/convert\"),x=t(\"./layout/spikes\"),b=t(\"./layout/tick_marks\");function _(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=y(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=u.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t={canvas:this.canvas,gl:this.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:this.container,axes:this.axesOptions,spikes:this.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:this.camera,pixelRatio:this.pixelRatio};if(this.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");t.gl=i,t.canvas=n}return t};var T=!0;w.tryCreatePlot=function(){var t=this.prepareOptions(),e=!0;try{this.glplot=s(t)}catch(r){if(this.staticMode||!T||h)e=!1;else{f.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{h=t.glOptions.preserveDrawingBuffer=!0,this.glplot=s(t)}catch(r){h=t.glOptions.preserveDrawingBuffer=!1,e=!1}}}return T=!1,e},w.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e=\"orthographic\"===t.projection.type;this.camera=o(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},w.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var c=Object.keys(e.traces),u=null,h=e.glplot.selection,m=0;m<c.length;++m)\"skip\"!==(t=e.traces[c[m]]).data.hoverinfo&&t.handlePick(h)&&(u=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==u){var y=v(e.glplot.cameraParams,h.dataCoordinate);t=u.data;var x,_=r._fullData[t.index],w=h.index,T={xLabel:g(\"x\",h.traceCoordinate[0],t.xhoverformat),yLabel:g(\"y\",h.traceCoordinate[1],t.yhoverformat),zLabel:g(\"z\",h.traceCoordinate[2],t.zhoverformat)},k=d.castHoverinfo(_,e.fullLayout,w),A=(k||\"\").split(\"+\"),M=k&&\"all\"===k;_.hovertemplate||M||(-1===A.indexOf(\"x\")&&(T.xLabel=void 0),-1===A.indexOf(\"y\")&&(T.yLabel=void 0),-1===A.indexOf(\"z\")&&(T.zLabel=void 0),-1===A.indexOf(\"text\")&&(h.textLabel=void 0),-1===A.indexOf(\"name\")&&(u.name=void 0));var S=[];\"cone\"===t.type||\"streamtube\"===t.type?(T.uLabel=g(\"x\",h.traceCoordinate[3],t.uhoverformat),(M||-1!==A.indexOf(\"u\"))&&S.push(\"u: \"+T.uLabel),T.vLabel=g(\"y\",h.traceCoordinate[4],t.vhoverformat),(M||-1!==A.indexOf(\"v\"))&&S.push(\"v: \"+T.vLabel),T.wLabel=g(\"z\",h.traceCoordinate[5],t.whoverformat),(M||-1!==A.indexOf(\"w\"))&&S.push(\"w: \"+T.wLabel),T.normLabel=h.traceCoordinate[6].toPrecision(3),(M||-1!==A.indexOf(\"norm\"))&&S.push(\"norm: \"+T.normLabel),\"streamtube\"===t.type&&(T.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(M||-1!==A.indexOf(\"divergence\"))&&S.push(\"divergence: \"+T.divergenceLabel)),h.textLabel&&S.push(h.textLabel),x=S.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(T.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),S.push(\"value: \"+T.valueLabel),h.textLabel&&S.push(h.textLabel),x=S.join(\"<br>\")):x=h.textLabel;var E={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:w};d.appendArrayPointValue(E,_,w),t._module.eventData&&(E=_._module.eventData(E,h,_,{},w));var L={points:[E]};if(e.fullSceneLayout.hovermode){var C=[];d.loneHover({trace:_,x:(.5+.5*y[0]/y[3])*s,y:(.5-.5*y[1]/y[3])*l,xLabel:T.xLabel,yLabel:T.yLabel,zLabel:T.zLabel,text:x,name:u.name,color:d.castHoverOption(_,w,\"bgcolor\")||u.color,borderColor:d.castHoverOption(_,w,\"bordercolor\"),fontFamily:d.castHoverOption(_,w,\"font.family\"),fontSize:d.castHoverOption(_,w,\"font.size\"),fontColor:d.castHoverOption(_,w,\"font.color\"),nameLength:d.castHoverOption(_,w,\"namelength\"),textAlign:d.castHoverOption(_,w,\"align\"),hovertemplate:f.castOption(_,w,\"hovertemplate\"),hovertemplateLabels:f.extendFlat({},E,T),eventData:[E]},{container:n,gd:r,inOut_bbox:C}),E.bbox=C[0]}h.buttons&&h.distance<5?r.emit(\"plotly_click\",L):r.emit(\"plotly_hover\",L),this.oldEventData=L}else d.loneUnhover(n),this.oldEventData&&r.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},w.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var k=[\"xaxis\",\"yaxis\",\"zaxis\"];function A(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=k[i],o=a.charAt(0),s=n[a],l=e[o],c=e[o+\"calendar\"],u=e[\"_\"+o+\"length\"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(u||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[p],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],u-1)}}w.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(m(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&A(this,n,f);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=k[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][i]=Math.min(e[0][i],u),e[1][i]=Math.max(e[1][i],u))}}}(this,f);var h=[1,1,1];for(o=0;o<3;++o)f[1][o]===f[0][o]?h[o]=1:h[o]=1/(f[1][o]-f[0][o]);for(this.dataScale=h,this.convertAnnotations(this),a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&((i=this.traces[n.uid])?i.data.type===n.type?i.update(n):(i.dispose(),i=n._module.plot(this,n),this.traces[n.uid]=i):(i=n._module.plot(this,n),this.traces[n.uid]=i),i.name=n.name);var p=Object.keys(this.traces);t:for(a=0;a<p.length;++a){for(o=0;o<t.length;++o)if(t[o].uid===p[a]&&!0===t[o].visible&&0!==t[o]._length)continue t;(i=this.traces[p[a]]).dispose(),delete this.traces[p[a]]}this.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var d,g=[[0,0,0],[0,0,0]],v=[],y={};for(a=0;a<3;++a){if((l=(s=c[k[a]]).type)in y?(y[l].acc*=h[a],y[l].count+=1):y[l]={acc:h[a],count:1},s.autorange){g[0][a]=1/0,g[1][a]=-1/0;var x=this.glplot.objects,b=this.fullSceneLayout.annotations||[],_=s._name.charAt(0);for(o=0;o<x.length;o++){var w=x[o],T=w.bounds,M=w._trace.data._pad||0;\"ErrorBars\"===w.constructor.name&&s._lowerLogErrorBound?g[0][a]=Math.min(g[0][a],s._lowerLogErrorBound):g[0][a]=Math.min(g[0][a],T[0][a]/h[a]-M),g[1][a]=Math.max(g[1][a],T[1][a]/h[a]+M)}for(o=0;o<b.length;o++){var S=b[o];if(S.visible){var E=s.r2l(S[_]);g[0][a]=Math.min(g[0][a],E),g[1][a]=Math.max(g[1][a],E)}}if(\"rangemode\"in s&&\"tozero\"===s.rangemode&&(g[0][a]=Math.min(g[0][a],0),g[1][a]=Math.max(g[1][a],0)),g[0][a]>g[1][a])g[0][a]=-1,g[1][a]=1;else{var L=g[1][a]-g[0][a];g[0][a]-=L/32,g[1][a]+=L/32}if(\"reversed\"===s.autorange){var C=g[0][a];g[0][a]=g[1][a],g[1][a]=C}}else{var P=s.range;g[0][a]=s.r2l(P[0]),g[1][a]=s.r2l(P[1])}g[0][a]===g[1][a]&&(g[0][a]-=1,g[1][a]+=1),v[a]=g[1][a]-g[0][a],this.glplot.setBounds(a,{min:g[0][a]*h[a],max:g[1][a]*h[a]})}var I=c.aspectmode;if(\"cube\"===I)d=[1,1,1];else if(\"manual\"===I){var O=c.aspectratio;d=[O.x,O.y,O.z]}else{if(\"auto\"!==I&&\"data\"!==I)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var z=[1,1,1];for(a=0;a<3;++a){var D=y[l=(s=c[k[a]]).type];z[a]=Math.pow(D.acc,1/D.count)/h[a]}d=\"data\"===I||Math.max.apply(null,z)/Math.min.apply(null,z)<=4?z:[1,1,1]}c.aspectratio.x=u.aspectratio.x=d[0],c.aspectratio.y=u.aspectratio.y=d[1],c.aspectratio.z=u.aspectratio.z=d[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),this.viewInitial.aspectmode||(this.viewInitial.aspectmode=c.aspectmode);var R=c.domain||null,F=e._size||null;if(R&&F){var B=this.container.style;B.position=\"absolute\",B.left=F.l+R.x[0]*F.w+\"px\",B.top=F.t+(1-R.y[1])*F.h+\"px\",B.width=F.w*(R.x[1]-R.x[0])+\"px\",B.height=F.h*(R.y[1]-R.y[0])+\"px\"}this.glplot.redraw()}},w.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},w.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},w.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),this.glplot.setAspectratio(t.aspectratio),\"orthographic\"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},w.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var i=[\"up\",\"center\",\"eye\"],a=[\"x\",\"y\",\"z\"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},w.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},w.saveLayout=function(t){var e,r,n,i,a,o,s=this.fullLayout,l=this.isCameraChanged(t),c=this.isAspectChanged(t),h=l||c;if(h){var p={};if(l&&(e=this.getCamera(),n=(r=f.nestedProperty(t,this.id+\".camera\")).get(),p[this.id+\".camera\"]=n),c&&(i=this.glplot.getAspectratio(),o=(a=f.nestedProperty(t,this.id+\".aspectratio\")).get(),p[this.id+\".aspectratio\"]=o),u.call(\"_storeDirectGUIEdit\",t,s._preGUI,p),l)r.set(e),f.nestedProperty(s,this.id+\".camera\").set(e);if(c)a.set(i),f.nestedProperty(s,this.id+\".aspectratio\").set(i),this.glplot.redraw()}return h},w.updateFx=function(t,e){var r=this.camera;if(r)if(\"orbit\"===t)r.mode=\"orbit\",r.keyBindingMode=\"rotate\";else if(\"turntable\"===t){r.up=[0,0,1],r.mode=\"turntable\",r.keyBindingMode=\"rotate\";var n=this.graphDiv,i=n._fullLayout,a=this.fullSceneLayout.camera,o=a.up.x,s=a.up.y,l=a.up.z;if(l/Math.sqrt(o*o+s*s+l*l)<.999){var c=this.id+\".camera.up\",h={x:0,y:0,z:1},p={};p[c]=h;var d=n.layout;u.call(\"_storeDirectGUIEdit\",d,i._preGUI,p),a.up=h,f.nestedProperty(d,c).set(h)}}else r.keyBindingMode=t;this.fullSceneLayout.hovermode=e},w.toImage=function(t){t||(t=\"png\"),this.staticMode&&this.container.appendChild(n),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a),function(t,e,r){for(var n=0,i=r-1;n<i;++n,--i)for(var a=0;a<e;++a)for(var o=0;o<4;++o){var s=4*(e*n+a)+o,l=4*(e*i+a)+o,c=t[s];t[s]=t[l],t[l]=c}}(a,r,i),function(t,e,r){for(var n=0;n<r;++n)for(var i=0;i<e;++i){var a=4*(e*n+i),o=t[a+3];if(o>0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(a,r,i);var o=document.createElement(\"canvas\");o.width=r,o.height=i;var s,l=o.getContext(\"2d\",{willReadFrequently:!0}),c=l.createImageData(r,i);switch(c.data.set(a),l.putImageData(c,0,0),t){case\"jpeg\":s=o.toDataURL(\"image/jpeg\");break;case\"webp\":s=o.toDataURL(\"image/webp\");break;default:s=o.toDataURL(\"image/png\")}return this.staticMode&&this.container.removeChild(n),s},w.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[k[t]];p.setConvert(e,this.fullLayout),e.setScale=f.noop}},w.make4thDimension=function(){var t=this.graphDiv._fullLayout;this._mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},p.setConvert(this._mockAxis,t)},e.exports=_},{\"../../../stackgl_modules\":1124,\"../../components/fx\":406,\"../../lib\":503,\"../../lib/show_no_webgl_msg\":525,\"../../lib/str2rgbarray\":528,\"../../plots/cartesian/axes\":554,\"../../registry\":638,\"./layout/convert\":602,\"./layout/spikes\":605,\"./layout/tick_marks\":606,\"./project\":607,\"has-passive-events\":229,\"webgl-context\":331}],609:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){n=n||t.length;for(var i=new Array(n),a=0;a<n;a++)i[a]=[t[a],e[a],r[a]];return i}},{}],610:[function(t,e,r){\"use strict\";var n=t(\"./font_attributes\"),i=t(\"./animation_attributes\"),a=t(\"../components/color/attributes\"),o=t(\"../components/shapes/draw_newshape/attributes\"),s=t(\"./pad_attributes\"),l=t(\"../lib/extend\").extendFlat,c=n({editType:\"calc\"});c.family.dflt='\"Open Sans\", verdana, arial, sans-serif',c.size.dflt=12,c.color.dflt=a.defaultLine,e.exports={font:c,title:{text:{valType:\"string\",editType:\"layoutstyle\"},font:n({editType:\"layoutstyle\"}),xref:{valType:\"enumerated\",dflt:\"container\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},yref:{valType:\"enumerated\",dflt:\"container\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},x:{valType:\"number\",min:0,max:1,dflt:.5,editType:\"layoutstyle\"},y:{valType:\"number\",min:0,max:1,dflt:\"auto\",editType:\"layoutstyle\"},xanchor:{valType:\"enumerated\",dflt:\"auto\",values:[\"auto\",\"left\",\"center\",\"right\"],editType:\"layoutstyle\"},yanchor:{valType:\"enumerated\",dflt:\"auto\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],editType:\"layoutstyle\"},pad:l(s({editType:\"layoutstyle\"}),{}),editType:\"layoutstyle\"},uniformtext:{mode:{valType:\"enumerated\",values:[!1,\"hide\",\"show\"],dflt:!1,editType:\"plot\"},minsize:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"plot\"},autosize:{valType:\"boolean\",dflt:!1,editType:\"none\"},width:{valType:\"number\",min:10,dflt:700,editType:\"plot\"},height:{valType:\"number\",min:10,dflt:450,editType:\"plot\"},margin:{l:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},r:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},t:{valType:\"number\",min:0,dflt:100,editType:\"plot\"},b:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},pad:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},autoexpand:{valType:\"boolean\",dflt:!0,editType:\"plot\"},editType:\"plot\"},computed:{valType:\"any\",editType:\"none\"},paper_bgcolor:{valType:\"color\",dflt:a.background,editType:\"plot\"},plot_bgcolor:{valType:\"color\",dflt:a.background,editType:\"layoutstyle\"},autotypenumbers:{valType:\"enumerated\",values:[\"convert types\",\"strict\"],dflt:\"convert types\",editType:\"calc\"},separators:{valType:\"string\",editType:\"plot\"},hidesources:{valType:\"boolean\",dflt:!1,editType:\"plot\"},showlegend:{valType:\"boolean\",editType:\"legend\"},colorway:{valType:\"colorlist\",dflt:a.defaults,editType:\"calc\"},datarevision:{valType:\"any\",editType:\"calc\"},uirevision:{valType:\"any\",editType:\"none\"},editrevision:{valType:\"any\",editType:\"none\"},selectionrevision:{valType:\"any\",editType:\"none\"},template:{valType:\"any\",editType:\"calc\"},newshape:o.newshape,activeshape:o.activeshape,meta:{valType:\"any\",arrayOk:!0,editType:\"plot\"},transition:l({},i.transition,{editType:\"none\"}),_deprecated:{title:{valType:\"string\",editType:\"layoutstyle\"},titlefont:n({editType:\"layoutstyle\"})}}},{\"../components/color/attributes\":365,\"../components/shapes/draw_newshape/attributes\":451,\"../lib/extend\":493,\"./animation_attributes\":548,\"./font_attributes\":585,\"./pad_attributes\":618}],611:[function(t,e,r){\"use strict\";var n=t(\"../../lib/sort_object_keys\"),i='\\xa9 <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">OpenStreetMap</a> contributors',a=['\\xa9 <a target=\"_blank\" href=\"https://carto.com/\">Carto</a>',i].join(\" \"),o=['Map tiles by <a target=\"_blank\" href=\"https://stamen.com\">Stamen Design</a>','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a>',\"|\",'Data by <a target=\"_blank\" href=\"https://openstreetmap.org\">OpenStreetMap</a> contributors','under <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">ODbL</a>'].join(\" \"),s={\"open-street-map\":{id:\"osm\",version:8,sources:{\"plotly-osm-tiles\":{type:\"raster\",attribution:i,tiles:[\"https://a.tile.openstreetmap.org/{z}/{x}/{y}.png\",\"https://b.tile.openstreetmap.org/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-osm-tiles\",type:\"raster\",source:\"plotly-osm-tiles\",minzoom:0,maxzoom:22}]},\"white-bg\":{id:\"white-bg\",version:8,sources:{},layers:[{id:\"white-bg\",type:\"background\",paint:{\"background-color\":\"#FFFFFF\"},minzoom:0,maxzoom:22}]},\"carto-positron\":{id:\"carto-positron\",version:8,sources:{\"plotly-carto-positron\":{type:\"raster\",attribution:a,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-positron\",type:\"raster\",source:\"plotly-carto-positron\",minzoom:0,maxzoom:22}]},\"carto-darkmatter\":{id:\"carto-darkmatter\",version:8,sources:{\"plotly-carto-darkmatter\":{type:\"raster\",attribution:a,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/dark_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-darkmatter\",type:\"raster\",source:\"plotly-carto-darkmatter\",minzoom:0,maxzoom:22}]},\"stamen-terrain\":{id:\"stamen-terrain\",version:8,sources:{\"plotly-stamen-terrain\":{type:\"raster\",attribution:o,tiles:[\"https://stamen-tiles.a.ssl.fastly.net/terrain/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-terrain\",type:\"raster\",source:\"plotly-stamen-terrain\",minzoom:0,maxzoom:22}]},\"stamen-toner\":{id:\"stamen-toner\",version:8,sources:{\"plotly-stamen-toner\":{type:\"raster\",attribution:o,tiles:[\"https://stamen-tiles.a.ssl.fastly.net/toner/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-toner\",type:\"raster\",source:\"plotly-stamen-toner\",minzoom:0,maxzoom:22}]},\"stamen-watercolor\":{id:\"stamen-watercolor\",version:8,sources:{\"plotly-stamen-watercolor\":{type:\"raster\",attribution:['Map 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t&&(-1!==p.styleValuesMapbox.indexOf(t)||0===t.indexOf(\"mapbox://\"))}r.name=\"mapbox\",r.attr=\"subplot\",r.idRoot=\"mapbox\",r.idRegex=r.attrRegex=i.counterRegex(\"mapbox\"),r.attributes={subplot:{valType:\"subplotid\",dflt:\"mapbox\",editType:\"calc\"}},r.layoutAttributes=t(\"./layout_attributes\"),r.supplyLayoutDefaults=t(\"./layout_defaults\"),r.plot=function(t){var e=t._fullLayout,r=t.calcdata,a=e._subplots.mapbox;if(n.version!==p.requiredVersion)throw new Error(p.wrongVersionErrorMsg);var o=function(t,e){var r=t._fullLayout;if(\"\"===t._context.mapboxAccessToken)return\"\";for(var n=[],a=[],o=!1,s=!1,l=0;l<e.length;l++){var c=r[e[l]],u=c.accesstoken;d(c.style)&&(u?i.pushUnique(n,u):(d(c._input.style)&&(i.error(\"Uses Mapbox map style, but did not set an access token.\"),o=!0),s=!0)),u&&i.pushUnique(a,u)}if(s){var f=o?p.noAccessTokenErrorMsg:p.missingStyleErrorMsg;throw i.error(f),new Error(f)}return 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m=c.select(s._subplot.div);if(!(null===m.select(\".mapboxgl-ctrl-logo\").node().offsetParent)){var g=e._glimages.append(\"g\");g.attr(\"transform\",a(n.l+n.w*h.x[0]+10,n.t+n.h*(1-h.y[0])-31)),g.append(\"path\").attr(\"d\",p.mapboxLogo.path0).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"}),g.append(\"path\").attr(\"d\",p.mapboxLogo.path1).style(\"opacity\",.35).style(\"enable-background\",\"new\"),g.append(\"path\").attr(\"d\",p.mapboxLogo.path2).style(\"opacity\",.35).style(\"enable-background\",\"new\"),g.append(\"polygon\").attr(\"points\",p.mapboxLogo.polygon).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"})}var v=m.select(\".mapboxgl-ctrl-attrib\").text().replace(\"Improve this map\",\"\"),y=e._glimages.append(\"g\"),x=y.append(\"text\");x.text(v).classed(\"static-attribution\",!0).attr({\"font-size\":12,\"font-family\":\"Arial\",color:\"rgba(0, 0, 0, 0.75)\",\"text-anchor\":\"end\",\"data-unformatted\":v});var b=u.bBox(x.node()),_=n.w*(h.x[1]-h.x[0]);if(b.width>_/2){var w=v.split(\"|\").join(\"<br>\");x.text(w).attr(\"data-unformatted\",w).call(f.convertToTspans,t),b=u.bBox(x.node())}x.attr(\"transform\",a(-3,8-b.height)),y.insert(\"rect\",\".static-attribution\").attr({x:-b.width-6,y:-b.height-3,width:b.width+6,height:b.height+3,fill:\"rgba(255, 255, 255, 0.75)\"});var T=1;b.width+6>_&&(T=_/(b.width+6));var k=[n.l+n.w*h.x[1],n.t+n.h*(1-h.y[0])];y.attr(\"transform\",a(k[0],k[1])+o(T))}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.mapbox,n=0;n<r.length;n++){e[r[n]]._subplot.updateFx(e)}}},{\"../../components/drawing\":388,\"../../constants/xmlns_namespaces\":480,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../../plots/get_data\":593,\"./constants\":611,\"./layout_attributes\":615,\"./layout_defaults\":616,\"./mapbox\":617,\"@plotly/d3\":58,\"mapbox-gl/dist/mapbox-gl-unminified\":239}],614:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../lib/svg_text_utils\").sanitizeHTML,a=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 e={},r={};switch(t.type){case\"circle\":n.extendFlat(r,{\"circle-radius\":t.circle.radius,\"circle-color\":t.color,\"circle-opacity\":t.opacity});break;case\"line\":n.extendFlat(r,{\"line-width\":t.line.width,\"line-color\":t.color,\"line-opacity\":t.opacity,\"line-dasharray\":t.line.dash});break;case\"fill\":n.extendFlat(r,{\"fill-color\":t.color,\"fill-outline-color\":t.fill.outlinecolor,\"fill-opacity\":t.opacity});break;case\"symbol\":var i=t.symbol,o=a(i.textposition,i.iconsize);n.extendFlat(e,{\"icon-image\":i.icon+\"-15\",\"icon-size\":i.iconsize/10,\"text-field\":i.text,\"text-size\":i.textfont.size,\"text-anchor\":o.anchor,\"text-offset\":o.offset,\"symbol-placement\":i.placement}),n.extendFlat(r,{\"icon-color\":t.color,\"text-color\":i.textfont.color,\"text-opacity\":t.opacity});break;case\"raster\":n.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":t.opacity})}return{layout:e,paint:r}}l.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=c(t)},l.needsNewImage=function(t){return this.subplot.map.getSource(this.idSource)&&\"image\"===this.sourceType&&\"image\"===t.sourcetype&&(this.source!==t.source||JSON.stringify(this.coordinates)!==JSON.stringify(t.coordinates))},l.needsNewSource=function(t){return this.sourceType!==t.sourcetype||JSON.stringify(this.source)!==JSON.stringify(t.source)||this.layerType!==t.type},l.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]},l.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]},l.updateImage=function(t){this.subplot.map.getSource(this.idSource).updateImage({url:t.source,coordinates:t.coordinates});var e=this.findFollowingMapboxLayerId(this.lookupBelow());null!==e&&this.subplot.map.moveLayer(this.idLayer,e)},l.updateSource=function(t){var e=this.subplot.map;if(e.getSource(this.idSource)&&e.removeSource(this.idSource),this.sourceType=t.sourcetype,this.source=t.source,c(t)){var r=function(t){var e,r=t.sourcetype,n=t.source,a={type:r};\"geojson\"===r?e=\"data\":\"vector\"===r?e=\"string\"==typeof n?\"url\":\"tiles\":\"raster\"===r?(e=\"tiles\",a.tileSize=256):\"image\"===r&&(e=\"url\",a.coordinates=t.coordinates);a[e]=n,t.sourceattribution&&(a.attribution=i(t.sourceattribution));return a}(t);e.addSource(this.idSource,r)}},l.findFollowingMapboxLayerId=function(t){if(\"traces\"===t)for(var e=this.subplot.getMapLayers(),r=0;r<e.length;r++){var n=e[r].id;if(\"string\"==typeof n&&0===n.indexOf(o.traceLayerPrefix)){t=n;break}}return t},l.updateLayer=function(t){var e=this.subplot,r=u(t),n=this.lookupBelow(),i=this.findFollowingMapboxLayerId(n);this.removeLayer(),c(t)&&e.addLayer({id:this.idLayer,source:this.idSource,\"source-layer\":t.sourcelayer||\"\",type:t.type,minzoom:t.minzoom,maxzoom:t.maxzoom,layout:r.layout,paint:r.paint},i),this.layerType=t.type,this.below=n},l.updateStyle=function(t){if(c(t)){var e=u(t);this.subplot.setOptions(this.idLayer,\"setLayoutProperty\",e.layout),this.subplot.setOptions(this.idLayer,\"setPaintProperty\",e.paint)}},l.removeLayer=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer)},l.dispose=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer),t.getSource(this.idSource)&&t.removeSource(this.idSource)},e.exports=function(t,e,r){var n=new s(t,e);return n.update(r),n}},{\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"./constants\":611,\"./convert_text_opts\":612}],615:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\").defaultLine,a=t(\"../domain\").attributes,o=t(\"../font_attributes\"),s=t(\"../../traces/scatter/attributes\").textposition,l=t(\"../../plot_api/edit_types\").overrideAll,c=t(\"../../plot_api/plot_template\").templatedArray,u=t(\"./constants\"),f=o({});f.family.dflt=\"Open Sans Regular, Arial Unicode MS 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e,r,s=this,c=s.isSmith,u=s.gd,f=s.layers,h=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,m=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,L=s.sectorInRad,C=s.vangles,P=s.radialAxis,I=E.clampTiny,O=E.findXYatLength,z=E.findEnclosingVertexAngles,D=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){y.hover(u,t,s.id),u._fullLayout._lasthover=F,u._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){u._dragging||v.unhover(u,t)};var B,N,j,U,V,H,q,G,Y,W={element:F,gd:u,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 J(t,e){return Math.atan2(M-e,t-A)}function K(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function Q(t,e){if(0===t)return s.pathSector(2*D);var 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O,z,D,B=g.makeRectDragger(u,T,\"crosshair\",-x,-x,y,y),N={element:B,gd:c};!1===t.dragmode&&(N.dragmode=!1),V(n.select(B),m.visible&&h<f,{transform:l(b,_)}),N.prepFn=function(){O=null,z=null,D=null,N.moveFn=j,N.doneFn=H,w(c)},N.clampFn=function(t,e){return Math.sqrt(t*t+e*e)<S.MINDRAG&&(t=0,e=0),[t,e]},v.init(N)}function j(t,e){if(O)O(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)||(O=s<.5?q:G)}var l={};!function(t){null!==z?t[i.id+\".radialaxis.angle\"]=z:null!==D&&(t[i.id+\".radialaxis.range[\"+r+\"]\"]=D)}(l),c.emit(\"plotly_relayouting\",l)}function H(){null!==z?a.call(\"_guiRelayout\",c,i.id+\".radialaxis.angle\",z):null!==D&&a.call(\"_guiRelayout\",c,i.id+\".radialaxis.range[\"+r+\"]\",D)}function q(t,e){if(0!==r){var n=b+t,a=_+e;z=Math.atan2(d-a,n-p),i.vangles&&(z=U(z,i.vangles)),z=F(z);var o=l(p,d)+s(-z);u[\"radial-axis\"].attr(\"transform\",o),u[\"radial-line\"].select(\"line\").attr(\"transform\",o);var 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e=this.graphDiv,r=t[this.id],n=this.clipId=\"clip\"+this.layoutId+this.id,i=this.clipIdRelative=\"clip-relative\"+this.layoutId+this.id;this.clipDef=o.ensureSingleById(t._clips,\"clipPath\",n,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),this.clipDefRelative=o.ensureSingleById(t._clips,\"clipPath\",i,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),this.plotContainer=o.ensureSingle(this.container,\"g\",this.id),this.updateLayers(r),u.setClipUrl(this.layers.backplot,n,e),u.setClipUrl(this.layers.grids,n,e)},S.updateLayers=function(t){var e=this.layers,r=[\"draglayer\",\"plotbg\",\"backplot\",\"grids\"];\"below traces\"===t.aaxis.layer&&r.push(\"aaxis\",\"aline\"),\"below traces\"===t.baxis.layer&&r.push(\"baxis\",\"bline\"),\"below traces\"===t.caxis.layer&&r.push(\"caxis\",\"cline\"),r.push(\"frontplot\"),\"above traces\"===t.aaxis.layer&&r.push(\"aaxis\",\"aline\"),\"above traces\"===t.baxis.layer&&r.push(\"baxis\",\"bline\"),\"above 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r,n,i,a,o,l,p=this,d=t.domain,m=(d.x[0]+d.x[1])/2,g=(d.y[0]+d.y[1])/2,v=d.x[1]-d.x[0],y=d.y[1]-d.y[0],x=v*e.w,b=y*e.h,_=t.sum,w=t.aaxis.min,T=t.baxis.min,k=t.caxis.min;x>E*b?i=(a=b)*E:a=(i=x)/E,o=v*i/x,l=y*a/b,r=e.l+e.w*m-i/2,n=e.t+e.h*(1-g)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=_,p.xaxis={type:\"linear\",range:[w+2*k-_,_-w-2*T],domain:[m-o/2,m+o/2],_id:\"x\"},f(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:\"linear\",range:[w,_-T-k],domain:[g-l/2,g+l/2],_id:\"y\"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=h({},t.aaxis,{range:[w,_-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(M,p.graphDiv._fullLayout),M.setScale();var 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D=s(r+i/2,n)+\"rotate(-30)\"+s(0,-L._offset);p.layers.caxis.attr(\"transform\",D),p.layers.cgrid.attr(\"transform\",D),p.drawAxes(!0),p.layers.aline.select(\"path\").attr(\"d\",M.showline?\"M\"+r+\",\"+(n+a)+\"l\"+i/2+\",-\"+a:\"M0,0\").call(c.stroke,M.linecolor||\"#000\").style(\"stroke-width\",(M.linewidth||0)+\"px\"),p.layers.bline.select(\"path\").attr(\"d\",S.showline?\"M\"+r+\",\"+(n+a)+\"h\"+i:\"M0,0\").call(c.stroke,S.linecolor||\"#000\").style(\"stroke-width\",(S.linewidth||0)+\"px\"),p.layers.cline.select(\"path\").attr(\"d\",L.showline?\"M\"+(r+i/2)+\",\"+n+\"l\"+i/2+\",\"+a:\"M0,0\").call(c.stroke,L.linecolor||\"#000\").style(\"stroke-width\",(L.linewidth||0)+\"px\"),p.graphDiv._context.staticPlot||p.initInteractions(),u.setClipUrl(p.layers.frontplot,p._hasClipOnAxisFalse?null:p.clipId,p.graphDiv)},S.drawAxes=function(t){var 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L=A.MINZOOM/2+.87,C=\"m-0.87,.5h\"+L+\"v3h-\"+(L+5.2)+\"l\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l2.6,1.5l-\"+L/2+\",\"+.87*L+\"Z\",P=\"m0.87,.5h-\"+L+\"v3h\"+(L+5.2)+\"l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-2.6,1.5l\"+L/2+\",\"+.87*L+\"Z\",I=\"m0,1l\"+L/2+\",\"+.87*L+\"l2.6,-1.5l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-\"+(L/2+2.6)+\",\"+(.87*L+4.5)+\"l2.6,1.5l\"+L/2+\",-\"+.87*L+\"Z\",O=!0;function z(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}S.clearSelect=function(){k(this.dragOptions),T(this.dragOptions.gd)},S.initInteractions=function(){var t,e,r,n,f,h,p,d,v,b,T,k,M=this,S=M.layers.plotbg.select(\"path\").node(),L=M.graphDiv,D=L._fullLayout._zoomlayer;function R(t){var e={};return e[M.id+\".aaxis.min\"]=t.a,e[M.id+\".baxis.min\"]=t.b,e[M.id+\".caxis.min\"]=t.c,e}function F(t,e){var 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r=t/M.xaxis._m,n=e/M.yaxis._m,i=[(p={a:f.a-n,b:f.b+(r+n)/2,c:f.c-(r-n)/2}).a,p.b,p.c].sort(o.sorterAsc),a=i.indexOf(p.a),l=i.indexOf(p.b),c=i.indexOf(p.c);i[0]<0&&(i[1]+i[0]/2<0?(i[2]+=i[0]+i[1],i[0]=i[1]=0):(i[2]+=i[0]/2,i[1]+=i[0]/2,i[0]=0),p={a:i[a],b:i[l],c:i[c]},e=(f.a-p.a)*M.yaxis._m,t=(f.c-p.c-f.b+p.b)*M.xaxis._m);var h=s(M.x0+t,M.y0+e);M.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",h);var d=s(-t,-e);M.clipDefRelative.select(\"path\").attr(\"transform\",d),M.aaxis.range=[p.a,M.sum-p.b-p.c],M.baxis.range=[M.sum-p.a-p.c,p.b],M.caxis.range=[M.sum-p.a-p.b,p.c],M.drawAxes(!1),M._hasClipOnAxisFalse&&M.plotContainer.select(\".scatterlayer\").selectAll(\".trace\").call(u.hideOutsideRangePoints,M),L.emit(\"plotly_relayouting\",R(p))}function 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n=t(\"../../components/colorscale/defaults\"),i=t(\"./label_defaults\");e.exports=function(t,e,r,a,o){var s,l=r(\"contours.coloring\"),c=\"\";\"fill\"===l&&(s=r(\"contours.showlines\")),!1!==s&&(\"lines\"!==l&&(c=r(\"line.color\",\"#000\")),r(\"line.width\",.5),r(\"line.dash\")),\"none\"!==l&&(!0!==t.showlegend&&(e.showlegend=!1),e._dfltShowLegend=!1,n(t,e,a,r,{prefix:\"\",cLetter:\"z\"})),r(\"line.smoothing\"),i(r,a,c,o)}},{\"../../components/colorscale/defaults\":376,\"./label_defaults\":750}],757:[function(t,e,r){\"use strict\";var n=t(\"../heatmap/attributes\"),i=t(\"../contour/attributes\"),a=t(\"../../components/colorscale/attributes\"),o=t(\"../../lib/extend\").extendFlat,s=i.contours;e.exports=o({carpet:{valType:\"string\",editType:\"calc\"},z:n.z,a:n.x,a0:n.x0,da:n.dx,b:n.y,b0:n.y0,db:n.dy,text:n.text,hovertext:n.hovertext,transpose:n.transpose,atype:n.xtype,btype:n.ytype,fillcolor:i.fillcolor,autocontour:i.autocontour,ncontours:i.ncontours,contours:{type:s.type,start:s.start,end:s.end,size:s.size,coloring:{valType:\"enumerated\",values:[\"fill\",\"lines\",\"none\"],dflt:\"fill\",editType:\"calc\"},showlines:s.showlines,showlabels:s.showlabels,labelfont:s.labelfont,labelformat:s.labelformat,operation:s.operation,value:s.value,editType:\"calc\",impliedEdits:{autocontour:!1}},line:{color:i.line.color,width:i.line.width,dash:i.line.dash,smoothing:i.line.smoothing,editType:\"plot\"},transforms:void 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n=t(\"../pie/layout_attributes\").hiddenlabels;e.exports={hiddenlabels:n,funnelareacolorway:{valType:\"colorlist\",editType:\"calc\"},extendfunnelareacolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{\"../pie/layout_attributes\":908}],789:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"funnelareacolorway\",e.colorway),r(\"extendfunnelareacolors\")}},{\"../../lib\":503,\"./layout_attributes\":788}],790:[function(t,e,r){\"use strict\";var 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n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../plots/font_attributes\"),o=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../components/colorscale/attributes\"),u=t(\"../../lib/extend\").extendFlat;e.exports=u({z:{valType:\"data_array\",editType:\"calc\"},x:u({},n.x,{impliedEdits:{xtype:\"array\"}}),x0:u({},n.x0,{impliedEdits:{xtype:\"scaled\"}}),dx:u({},n.dx,{impliedEdits:{xtype:\"scaled\"}}),y:u({},n.y,{impliedEdits:{ytype:\"array\"}}),y0:u({},n.y0,{impliedEdits:{ytype:\"scaled\"}}),dy:u({},n.dy,{impliedEdits:{ytype:\"scaled\"}}),xperiod:u({},n.xperiod,{impliedEdits:{xtype:\"scaled\"}}),yperiod:u({},n.yperiod,{impliedEdits:{ytype:\"scaled\"}}),xperiod0:u({},n.xperiod0,{impliedEdits:{xtype:\"scaled\"}}),yperiod0:u({},n.yperiod0,{impliedEdits:{ytype:\"scaled\"}}),xperiodalignment:u({},n.xperiodalignment,{impliedEdits:{xtype:\"scaled\"}}),yperiodalignment:u({},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:u({},i.showlegend,{dflt:!1})},{transforms:void 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W=_.selectAll(\"g.gauge-outline\").data([x]);W.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),W.select(\"path\").call(P).call(T),W.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:Y,layer:W,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var X=O.selectAll(\"g.bullet\").data(R?e:[]);X.exit().remove();var Z=O.selectAll(\"g.bulletaxis\").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,c,u=r[0].trace,f=n.gauge,p=n.layer,m=n.gaugeBg,g=n.gaugeOutline,v=n.size,x=u.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",l(v.l,v.t)),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var A=v.h,M=u.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(u._hasNumber||u._hasDelta?1-h.bulletNumberDomainSize:1);(i=k(t,u.gauge.axis))._id=\"xbulletaxis\",i.domain=[S,E],i.setScale(),a=d.calcTicks(i),o=d.makeTransTickFn(i),s=d.getTickSigns(i)[2],c=v.t+v.h,i.visible&&(d.drawTicks(t,i,{vals:\"inside\"===i.ticks?d.clipEnds(i,a):a,layer:p,path:d.makeTickPath(i,c,s),transFn:o}),d.drawLabels(t,i,{vals:a,layer:p,transFn:o,labelFns:d.makeLabelFns(i,c)}));function L(t){t.attr(\"width\",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr(\"x\",(function(t){return i.c2p(t.range[0])})).attr(\"y\",(function(t){return.5*(1-t.thickness)*A})).attr(\"height\",(function(t){return t.thickness*A}))}var C=[m].concat(u.gauge.steps),P=f.selectAll(\"g.bg-bullet\").data(C);P.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),P.select(\"rect\").call(L).call(T),P.exit().remove();var 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../surface/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat;e.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=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.intensity&&n(t,e,{vals:e.intensity,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":374}],869:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_mesh3d,i=t(\"../../../stackgl_modules\").delaunay_triangulate,a=t(\"../../../stackgl_modules\").alpha_shape,o=t(\"../../../stackgl_modules\").convex_hull,s=t(\"../../lib/gl_format_color\").parseColorScale,l=t(\"../../lib/str2rgbarray\"),c=t(\"../../components/colorscale\").extractOpts,u=t(\"../../plots/gl3d/zip3\");function f(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var h=f.prototype;function p(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=l(t[n]);return e}function d(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 m(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=Math.round(t[n]);return e}function g(t,e){for(var r=t.length,n=0;n<r;n++)if(t[n]<=-.5||t[n]>=e-.5)return!1;return!0}h.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 Array.isArray(r)&&void 0!==r[e]?t.textLabel=r[e]:r&&(t.textLabel=r),!0}},h.update=function(t){var e=this.scene,r=e.fullSceneLayout;this.data=t;var n,f=t.x.length,h=u(d(r.xaxis,t.x,e.dataScale[0],t.xcalendar),d(r.yaxis,t.y,e.dataScale[1],t.ycalendar),d(r.zaxis,t.z,e.dataScale[2],t.zcalendar));if(t.i&&t.j&&t.k){if(t.i.length!==t.j.length||t.j.length!==t.k.length||!g(t.i,f)||!g(t.j,f)||!g(t.k,f))return;n=u(m(t.i),m(t.j),m(t.k))}else n=0===t.alphahull?o(h):t.alphahull>0?a(t.alphahull,h):function(t,e){for(var r=[\"x\",\"y\",\"z\"].indexOf(t),n=[],a=e.length,o=0;o<a;o++)n[o]=[e[o][(r+1)%3],e[o][(r+2)%3]];return i(n)}(t.delaunayaxis,h);var v={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:l(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading};if(t.intensity){var y=c(t);this.color=\"#fff\";var x=t.intensitymode;v[x+\"Intensity\"]=t.intensity,v[x+\"IntensityBounds\"]=[y.min,y.max],v.colormap=s(t)}else t.vertexcolor?(this.color=t.vertexcolor[0],v.vertexColors=p(t.vertexcolor)):t.facecolor?(this.color=t.facecolor[0],v.cellColors=p(t.facecolor)):(this.color=t.color,v.meshColor=l(t.color));this.mesh.update(v)},h.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new 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n=t(\"../../lib\").extendFlat,i=t(\"../scatter/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../components/drawing/attributes\").dash,s=t(\"../../components/fx/attributes\"),l=t(\"../../constants/delta.js\"),c=l.INCREASING.COLOR,u=l.DECREASING.COLOR,f=i.line;function 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E=S.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);S.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(E),S.exit().remove(),M.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;A.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(z)).style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){c.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),M.append(\"text\").attr(\"class\",\"dimlabel\"),A.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){c.font(n.select(this),t.parcatsViewModel.labelfont)})),A.selectAll(\"rect.bandrect\").on(\"mouseover\",L).on(\"mouseout\",C),A.exit().remove(),w.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",P).on(\"drag\",I).on(\"dragend\",O)),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 p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function m(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function g(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){s.raiseToTop(this),w(n.select(this));var e=y(t),r=x(t);if(t.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")){var i,a,l,c=n.mouse(this)[0],f=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,p=f._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),m=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=c&&c<=t.leftXs[l+1]+2){var g=t.parcatsViewModel.dimensions[l],v=t.parcatsViewModel.dimensions[l+1];i=(g.x+g.width+v.x)/2,a=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=u.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",M.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",M.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+m.left,y:_-d.top+m.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:L<b?\"right\":\"left\",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function v(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(m),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function y(t){for(var e=[],r=z(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function _(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return u.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function T(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,y(t))}))}));var c={};c[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,y(t))}));var c={};c[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(c.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\"rect.catrect\"),c=l.node().getBoundingClientRect(),u=l.datum(),f=u.parcatsViewModel,h=f.model.dimensions[u.model.dimensionInd],p=f.trace,d=c.top+c.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=c.left,a=\"left\"):(i=c.left+c.width,a=\"right\");var m=u.model.count,g=u.model.categoryLabel,v=m/u.parcatsViewModel.model.count,y={countLabel:m,categoryLabel:g,probabilityLabel:v.toFixed(3)},x=[];-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",y.countLabel].join(\" \")),-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+y.categoryLabel+\"):\",y.probabilityLabel].join(\" \"));var b=x.join(\"<br>\");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:12,fontColor:\"black\",idealAlign:a,hovertemplate:p.hovertemplate,hovertemplateLabels:y,eventData:[{data:p._input,fullData:p,count:m,category:g,probability:v}]}}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;if(\"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)}))}(this),S(this,\"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)}(this),M(this,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\"))\"category\"===l?e=E(r,a,this):\"color\"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),c=n.select(r).datum(),f=c.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,m=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a=\"left\"):(i=l.left+l.width,a=\"right\");var g=f.model.categoryLabel,v=c.parcatsViewModel.model.count,y=0;c.categoryViewModel.bands.forEach((function(t){t.color===c.color&&(y+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===c.color&&(b+=t.model.count)}));var _=y/v,w=y/b,T=y/x,k={countLabel:v,categoryLabel:g,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&A.push([\"Count:\",k.countLabel].join(\" \")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(A.push(\"P(color \\u2229 \"+g+\"): \"+k.probabilityLabel),A.push(\"P(\"+g+\" | color): \"+w.toFixed(3)),A.push(\"P(color | \"+g+\"): \"+T.toFixed(3)));var M=A.join(\"<br>\"),S=u.mostReadable(c.color,[\"black\",\"white\"]);return{trace:d,x:o*(i-e.left),y:s*(m-e.top),text:M,color:c.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count:v,probability:_,categorycount:x,colorcount:b,bandcolorcount:y}]}}(r,a,this):\"dimension\"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){i.push(E(t,e,this))})),i}(r,a,this)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r})}}function C(t){var e=t.parcatsViewModel;if(!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(m),-1===e.hoverinfoItems.indexOf(\"skip\"))){\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event)}}function P(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 I(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=a.categories,u=c[l-1],f=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.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),D(t.parcatsViewModel)}}function O(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=z(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 c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),f=c.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){R(t.parcatsViewModel,!0),D(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function z(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 D(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,c=e.height,u=Math.floor(l*(s.x[1]-s.x[0])),f=Math.floor(c*(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 m={trace:o,key:o.uid,model:i,x:h,y:p,width:u,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(m),N(m)),m}function B(t,e,r,n,a){var o,s,l=[],c=[];for(s=0;s<r.length-1;s++)o=i(r[s]+t[s],t[s+1]),l.push(o(a)),c.push(o(1-a));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,\"+n+\" \",u+=\"l -\"+r[r.length-1]+\",0 \",s=r.length-2;s>=0;s--)u+=\"C\"+c[s]+\",\"+(e[s+1]+n)+\" \"+l[s]+\",\"+(e[s]+n)+\" \"+(t[s]+r[s])+\",\"+(e[s]+n),u+=\"l-\"+r[s]+\",0 \";return u+=\"Z\"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=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 f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=f(e),i=f(r);return\"backward\"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),n<i?-1:n>i?1:0}));for(var h=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})),m=0;m<c.length;m++){var g,v=c[m];g=p>0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b<v.categoryInds.length;b++){var 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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\":503}],896:[function(t,e,r){\"use strict\";var n=t(\"./base_index\");n.plot=t(\"./plot\"),e.exports=n},{\"./base_index\":890,\"./plot\":900}],897:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               p33_36, p37_40, p41_44, p45_48,\\n               p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 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);\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(maskTexture,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 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I(t){r=t.model,n=t.viewModel,l=n.dimensions.slice(),g=l[0]?l[0].values.length:0;var e=r.lines,i=w?e.color.map((function(t,r){return r/e.color.length})):e.color,a=function(t,e,r){for(var n,i=new Array(t*(o+4)),a=0,s=0;s<t;s++){for(var l=0;l<o;l++)i[a++]=l<e.length?e[l].paddedUnitValues[s]:.5;i[a++]=d(s,2),i[a++]=d(s,1),i[a++]=d(s,0),i[a++]=(n=r[s],Math.max(1e-6,Math.min(.999999,n)))}return i}(g,l,i);!function(t,e,r){for(var n=0;n<=o;n+=4)t[v(n)](m(n/4,e,r))}(E,g,a),_||w||(L=T.texture(s.extendFlat({data:p(r.unitToColor,255)},u)))}return{render:function(t,e,n){var i,a,o,s=t.length,c=1/0,u=-1/0;for(i=0;i<s;i++)t[i].dim0.canvasX<c&&(c=t[i].dim0.canvasX,a=i),t[i].dim1.canvasX>u&&(u=t[i].dim1.canvasX,o=i);0===s&&f(T,0,0,r.canvasWidth,r.canvasHeight);var p=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&n<l.length?l[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<l.length;e++){var 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i=new Uint8Array(4*r*n);return T.read({x:t,y:e,width:r,height:n,data:i}),i},destroy:function(){for(var e in t.style[\"pointer-events\"]=\"none\",L.destroy(),b&&b.destroy(),E)E[e].destroy()},update:I}}},{\"../../lib\":503,\"./constants\":893,glslify:227}],898:[function(t,e,r){\"use strict\";e.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}},{}],899:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=i.numberFormat,o=t(\"color-rgba\"),s=t(\"../../plots/cartesian/axes\"),l=i.strRotate,c=i.strTranslate,u=t(\"../../lib/svg_text_utils\"),f=t(\"../../components/drawing\"),h=t(\"../../components/colorscale\"),p=t(\"../../lib/gup\"),d=p.keyFun,m=p.repeat,g=p.unwrap,v=t(\"./helpers\"),y=t(\"./constants\"),x=t(\"./axisbrush\"),b=t(\"./lines\");function _(t,e,r){return i.aggNums(t,null,e,r)}function w(t,e){return k(_(Math.min,t,e),_(Math.max,t,e))}function T(t){var e=t.range;return e?k(e[0],e[1]):w(t.values,t._length)}function k(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 A(t,e,r,i,o){var s,l,c=T(r);return i?n.scale.ordinal().domain(i.map((s=a(r.tickformat),l=o,l?function(t,e){var r=l[e];return null==r?s(t):r}:s))).range(i.map((function(r){var n=(r-c[0])/(c[1]-c[0]);return t-e+n*(2*e-t)}))):n.scale.linear().domain(c).range([t-e,e])}function M(t){if(t.tickvals){var e=T(t);return n.scale.ordinal().domain(t.tickvals).range(t.tickvals.map((function(t){return(t-e[0])/(e[1]-e[0])})))}}function S(t){var e=t.map((function(t){return t[0]})),r=t.map((function(t){var e=o(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 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n=t(\"../../plots/attributes\"),i=t(\"../../plots/domain\").attributes,a=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top 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r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(c=new Array(h),r=0;r<h;r++)c[r]=String(e.label0+r*e.dlabel);var d={},m=s(o[\"_\"+e.type+\"colormap\"]),g=0,v=!1;for(r=0;r<h;r++){var y,x,b;if(p){if(y=f[r],!n(y))continue;y=+y}else y=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(g+=y),a.push({v:y,label:x,color:m(u[r],x),i:r,pts:[r],hidden:b})):(v=!0,(i=a[_]).v+=y,i.pts.push(r),i.hidden||(g+=y),!1===i.color&&u[r]&&(i.color=m(u[r],x)))}return a=a.filter((function(t){return t.v>=0})),(\"funnelarea\"===e.type?v:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var c=0,u=0;u<i.length;u++){var f=i[u];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[c%a.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{\"../../components/color\":366,\"fast-isnumeric\":190,tinycolor2:312}],904:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"./attributes\"),o=t(\"../../plots/domain\").defaults,s=t(\"../bar/defaults\").handleText;function l(t,e){var r=Array.isArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return i.coerce(t,e,a,r,n)}var u=l(c(\"labels\"),c(\"values\")),f=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),f){e._length=f,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var h,p=c(\"text\"),d=c(\"texttemplate\");if(d||(h=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||h&&\"none\"!==h){var m=c(\"textposition\");s(t,e,n,c,m,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(m)||\"auto\"===m||\"outside\"===m)&&c(\"automargin\"),(\"inside\"===m||\"auto\"===m||Array.isArray(m))&&c(\"insidetextorientation\")}o(e,n,c);var g=c(\"hole\");if(c(\"title.text\")){var v=c(\"title.position\",g?\"middle center\":\"top center\");g||\"middle center\"!==v||(e.title.position=\"top center\"),i.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":503,\"../../plots/domain\":584,\"../bar/defaults\":652,\"./attributes\":901,\"fast-isnumeric\":190}],905:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},{\"../../components/fx/helpers\":402}],906:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}r.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0},r.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},{\"../../lib\":503}],907:[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\":901,\"./base_plot\":902,\"./calc\":903,\"./defaults\":904,\"./layout_attributes\":908,\"./layout_defaults\":909,\"./plot\":910,\"./style\":911,\"./style_one\":912}],908:[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\"}}},{}],909:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},{\"../../lib\":503,\"./layout_attributes\":908}],910:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plots/plots\"),a=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=l.strScale,u=l.strTranslate,f=t(\"../../lib/svg_text_utils\"),h=t(\"../bar/uniform_text\"),p=h.recordMinTextSize,d=h.clearMinTextSize,m=t(\"../bar/constants\").TEXTPAD,g=t(\"./helpers\"),v=t(\"./event_data\"),y=t(\"../../lib\").isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,c=i.trace,u=\"funnelarea\"===c.type;\"_hasHoverLabel\"in c||(c._hasHoverLabel=!1),\"_hasHoverEvent\"in c||(c._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,f=e._fullData[c.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[g.castOption(h,t.pts)],_module:c._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),f.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),m=s+t.pxmid[1]*(1-p),y=r.separators,x=[];if(h&&-1!==h.indexOf(\"label\")&&x.push(t.label),t.text=g.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf(\"text\")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,y),h&&-1!==h.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,y),h&&-1!==h.indexOf(\"percent\")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:c,x0:d-p*i.r,x1:d+p*i.r,y:m,_x0:u?o+t.TL[0]:d-p*i.r,_x1:u?o+t.TR[0]:d+p*i.r,_y0:u?s+t.TL[1]:m-p*i.r,_y1:u?s+t.BL[1]:m+p*i.r,text:x.join(\"<br>\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[v(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],c._hasHoverLabel=!0}c._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[v(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[c.index],o=n.select(this).datum();c._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[v(o,i)],event:n.event}),c._hasHoverEvent=!1),c._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),c._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[c.index];e._dragging||!1===r.hovermode||(e._hoverdata=[v(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),c=s.bBox(o.node(),!0);r.titleBox={width:c.width,height:c.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,f=\"horizontal\"===u,h=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,m=[];if(!d){var g,v=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(a=\"tan\"===i?k(t,n,o,c,0):T(t,n,o,c,Math.PI/2)).textPosAngle=r,m.push(a)}};if(f||h){for(g=4;g>=-4;g-=2)v(Math.PI*g,\"tan\");for(g=4;g>=-4;g-=2)v(Math.PI*(g+1),\"tan\")}if(f||p){for(g=4;g>=-4;g-=2)v(Math.PI*(g+1.5),\"rad\");for(g=4;g>=-4;g-=2)v(Math.PI*(g+.5),\"rad\")}}if(s||d||f){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/y,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;m.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a)),(d||h)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a));for(var x=0,b=0,_=0;_<m.length;_++){var w=m[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return m[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=I(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),f=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(f+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?f*=2:-1!==a.title.position.indexOf(\"right\")&&(f+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=f/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function I(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function O(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=P(i,e));var c=s/2,u=l/2;\"funnelarea\"!==a.type||a.scalegroup||(u/=a.aspectratio),i.r=Math.min(c,u)/(1+I(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var c,u;i.aspectratio>1?(c=r.r,u=c/i.aspectratio):(u=r.r,c=u*i.aspectratio),c*=(1+i.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var f=o*r.vTotal;\"funnelarea\"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function z(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function D(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},f=u(\"label\"),h=u(\"text\"),p=u(\"value\"),d=u(\"percent\"),m=n.separators;if(s=f?[e.label]:[],h){var v=g.getFirstFilled(i.text,e.pts);y(v)&&s.push(v)}p&&s.push(g.formatPieValue(e.v,m)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,m)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=g.getFirstFilled(i.text,e.pts);(y(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,a=r._size;d(\"pie\",r),_(e,t),O(e,a);var h=l.makeTraceGroups(r._pielayer,e,\"trace\").each((function(e){var h=n.select(this),d=e[0],m=d.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\"px1\",u=\"px0\"}for(n=z(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=z(a,s),r.midangle=s,s+=l*r.v/2,n=z(a,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),h.attr(\"stroke-linejoin\",\"round\"),h.each((function(){var v=n.select(this).selectAll(\"g.slice\").data(e);v.enter().append(\"g\").classed(\"slice\",!0),v.exit().remove();var y=[[[],[]],[[],[]]],_=!1;v.each((function(i,a){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=m.index,y[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var o=d.cx,c=d.cy,u=n.select(this),h=u.selectAll(\"path.surface\").data([i]);if(h.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),u.call(x,t,e),m.pull){var v=+g.castOption(m.pull,i.pts)||0;v>0&&(o+=v*i.pxmid[0],c+=v*i.pxmid[1])}i.cxFinal=o,i.cyFinal=c;var T=m.hole;if(i.v===d.vTotal){var k=\"M\"+(o+i.px0[0])+\",\"+(c+i.px0[1])+C(i.px0,i.pxmid,!0,1)+C(i.pxmid,i.px0,!0,1)+\"Z\";T?h.attr(\"d\",\"M\"+(o+T*i.px0[0])+\",\"+(c+T*i.px0[1])+C(i.px0,i.pxmid,!1,T)+C(i.pxmid,i.px0,!1,T)+\"Z\"+k):h.attr(\"d\",k)}else{var A=C(i.px0,i.px1,!0,1);if(T){var M=1-T;h.attr(\"d\",\"M\"+(o+T*i.px1[0])+\",\"+(c+T*i.px1[1])+C(i.px1,i.px0,!1,T)+\"l\"+M*i.px0[0]+\",\"+M*i.px0[1]+A+\"Z\")}else h.attr(\"d\",\"M\"+o+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+A+\"Z\")}D(t,i,d);var S=g.castOption(m.textposition,i.pts),E=u.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==S?[0]:[]);E.enter().append(\"g\").classed(\"slicetext\",!0),E.exit().remove(),E.each((function(){var u=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===S?function(t,e,r){var n=g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,i=g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:i,size:a}}(m,i,r.font):b(m,i,r.font));u.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var v,y=s.bBox(u.node());if(\"outside\"===S)v=L(y,i);else if(v=w(y,i,d),\"auto\"===S&&v.scale<1){var x=l.ensureUniformFontSize(t,m.outsidetextfont);u.call(s.font,x),v=L(y=s.bBox(u.node()),i)}var T=v.textPosAngle,k=void 0===T?i.pxmid:z(d.r,T);if(v.targetX=o+k[0]*v.rCenter+(v.x||0),v.targetY=c+k[1]*v.rCenter+(v.y||0),R(v,y),v.outside){var A=v.targetY;i.yLabelMin=A-y.height/2,i.yLabelMid=A,i.yLabelMax=A+y.height/2,i.labelExtraX=0,i.labelExtraY=0,_=!0}v.fontSize=h.size,p(m.type,v,r),e[a].transform=v,u.attr(\"transform\",l.getTextTransform(v))}))}function C(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*d.r+\",\"+n*d.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var T=n.select(this).selectAll(\"g.titletext\").data(m.title.text?[0]:[]);if(T.enter().append(\"g\").classed(\"titletext\",!0),T.exit().remove(),T.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=m.title.text;m._meta&&(i=l.templateString(i,m._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,m.title.font).call(f.convertToTspans,t),e=\"middle center\"===m.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}}(d):C(d,a),r.attr(\"transform\",u(e.x,e.y)+c(Math.min(1,e.scale))+u(e.tx,e.ty))})),_&&function(t,e){var r,n,i,a,o,s,l,c,u,f,h,p,d;function m(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var 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n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=i.numberFormat,o=t(\"./render\"),s=t(\"../../components/fx\"),l=t(\"../../components/color\"),c=t(\"./constants\").cn,u=i._;function f(t){return\"\"!==t}function h(t,e){return t.filter((function(t){return t.key===e.traceId}))}function p(t,e){n.select(t).select(\"path\").style(\"fill-opacity\",e),n.select(t).select(\"rect\").style(\"fill-opacity\",e)}function d(t){n.select(t).select(\"text.name\").style(\"fill\",\"black\")}function m(t){return function(e){return-1!==t.node.sourceLinks.indexOf(e.link)||-1!==t.node.targetLinks.indexOf(e.link)}}function g(t){return function(e){return-1!==e.node.sourceLinks.indexOf(t.link)||-1!==e.node.targetLinks.indexOf(t.link)}}function v(t,e,r){e&&r&&h(r,e).selectAll(\".\"+c.sankeyLink).filter(m(e)).call(x.bind(0,e,r,!1))}function y(t,e,r){e&&r&&h(r,e).selectAll(\".\"+c.sankeyLink).filter(m(e)).call(b.bind(0,e,r,!1))}function x(t,e,r,n){var i=n.datum().link.label;n.style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return.4})),i&&h(e,t).selectAll(\".\"+c.sankeyLink).filter((function(t){return t.link.label===i})).style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return.4})),r&&h(e,t).selectAll(\".\"+c.sankeyNode).filter(g(t)).call(v)}function b(t,e,r,n){var i=n.datum().link.label;n.style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),i&&h(e,t).selectAll(\".\"+c.sankeyLink).filter((function(t){return t.link.label===i})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),r&&h(e,t).selectAll(c.sankeyNode).filter(g(t)).call(y)}function _(t,e){var r=t.hoverlabel||{},n=i.nestedProperty(r,e).get();return!Array.isArray(n)&&n}e.exports=function(t,e){for(var r=t._fullLayout,i=r._paper,h=r._size,m=0;m<t._fullData.length;m++)if(t._fullData[m].visible&&t._fullData[m].type===c.sankey&&!t._fullData[m]._viewInitial){var g=t._fullData[m].node;t._fullData[m]._viewInitial={node:{groups:g.groups.slice(),x:g.x.slice(),y:g.y.slice()}}}var w=u(t,\"source:\")+\" \",T=u(t,\"target:\")+\" \",k=u(t,\"concentration:\")+\" \",A=u(t,\"incoming flow count:\")+\" \",M=u(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 c=[],u=0,h=0;h<i.flow.links.length;h++){var m=i.flow.links[h];if(\"closest\"!==t._fullLayout.hovermode||i.link.pointNumber===m.pointNumber){i.link.pointNumber===m.pointNumber&&(u=h),m.fullData=m.trace,o=i.link.trace.link;var g=y(m),v={valueLabel:a(i.valueFormat)(m.value)+i.valueSuffix};c.push({x:g[0],y:g[1],name:v.valueLabel,text:[m.label||\"\",w+m.source.label,T+m.target.label,m.concentrationscale?k+a(\"%0.2f\")(m.flow.labelConcentration):\"\"].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||l.addOpacity(m.color,1),borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:n.event.x<g[0]?\"right\":\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:v,eventData:[m]})}}s.loneHover(c,{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t,anchorIndex:u}).each((function(){i.link.concentrationscale||p(this,.65),d(this)}))}}function y(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(v,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 o=i.node.trace.node;if(\"none\"!==o.hoverinfo&&\"skip\"!==o.hoverinfo){var l=n.select(e).select(\".\"+c.nodeRect),u=t._fullLayout._paperdiv.node().getBoundingClientRect(),h=l.node().getBoundingClientRect(),m=h.left-2-u.left,g=h.right+2-u.left,v=h.top+h.height/4-u.top,y={valueLabel:a(i.valueFormat)(i.node.value)+i.valueSuffix};i.node.fullData=i.node.trace,t._fullLayout._calcInverseTransform(t);var x=t._fullLayout._invScaleX,b=t._fullLayout._invScaleY,w=s.loneHover({x0:x*m,x1:x*g,y:b*v,name:a(i.valueFormat)(i.node.value)+i.valueSuffix,text:[i.node.label,A+i.node.targetLinks.length,M+i.node.sourceLinks.length].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||i.tinyColorHue,borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:y,eventData:[i.node]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});p(w,.85),d(w)}}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(y,i,a),\"skip\"!==i.node.trace.node.hoverinfo&&(i.node.fullData=i.node.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.node]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r,i){var a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(y,r,i),s.click(t,{target:!0})}}})}},{\"../../components/color\":366,\"../../components/fx\":406,\"../../lib\":503,\"./constants\":920,\"./render\":924,\"@plotly/d3\":58}],924:[function(t,e,r){\"use strict\";var n=t(\"d3-force\"),i=t(\"d3-interpolate\").interpolateNumber,a=t(\"@plotly/d3\"),o=t(\"@plotly/d3-sankey\"),s=t(\"@plotly/d3-sankey-circular\"),l=t(\"./constants\"),c=t(\"tinycolor2\"),u=t(\"../../components/color\"),f=t(\"../../components/drawing\"),h=t(\"../../lib\"),p=h.strTranslate,d=h.strRotate,m=t(\"../../lib/gup\"),g=m.keyFun,v=m.repeat,y=m.unwrap,x=t(\"../../lib/svg_text_utils\"),b=t(\"../../registry\"),_=t(\"../../constants/alignment\"),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=y(e),a=i.trace,u=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,m=t.width*(u.x[1]-u.x[0]),g=t.height*(u.y[1]-u.y[0]),v=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[m,g]:[g,m]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(v).links(x);var _,w,T,k=n();for(var A in n.nodePadding()<p&&h.warn(\"node.pad was reduced to \",n.nodePadding(),\" to fit within the figure.\"),i._groupLookup){var M,S=parseInt(i._groupLookup[A]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){M=k.nodes[_];break}if(M){var E={pointNumber:parseInt(A),x0:M.x0,x1:M.x1,y0:M.y0,y1:M.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),M.childrenNodes.unshift(E)}}if(function(){for(_=0;_<k.nodes.length;_++){var t,e,r=k.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+\":\"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var i=Object.keys(n);for(w=0;w<i.length;w++){var a=n[t=i[w]],o=0,s={};for(T=0;T<a.length;T++)s[(e=a[T]).label]||(s[e.label]=0),s[e.label]+=e.value,o+=e.value;for(T=0;T<a.length;T++)(e=a[T]).flow={value:o,labelConcentration:s[e.label]/o,concentration:e.value/o,links:a},e.concentrationscale&&(e.color=c(e.concentrationscale(e.flow.labelConcentration)))}var l=0;for(w=0;w<r.sourceLinks.length;w++)l+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/l;var u=0;for(w=0;w<r.targetLinks.length;w++)u+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/u}}(),a.node.x.length&&a.node.y.length){for(_=0;_<Math.min(a.node.x.length,a.node.y.length,k.nodes.length);_++)if(a.node.x[_]&&a.node.y[_]){var L=[a.node.x[_]*m,a.node.y[_]*g];k.nodes[_].x0=L[0]-d/2,k.nodes[_].x1=L[0]+d/2;var C=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=L[1]-C/2,k.nodes[_].y1=L[1]+C/2}if(\"snap\"===a.arrangement)!function(t){t.forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<a;++n)(e=t[n]).y0>=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(v=k.nodes));n.update(k)}return{circular:b,key:r,trace:a,guid:h.randstr(),horizontal:f,width:m,height:g,nodePad:a.node.pad,nodeLineColor:a.node.line.color,nodeLineWidth:a.node.line.width,linkLineColor:a.link.line.color,linkLineWidth:a.link.line.width,valueFormat:a.valueformat,valueSuffix:a.valuesuffix,textFont:a.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:f?g:m,dragPerpendicular:f?m:g,arrangement:a.arrangement,sankey:n,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function A(t,e,r){var n=c(e.color),i=e.source.label+\"|\"+e.target.label+\"__\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){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,o=t.link.target.x0,s=i(a,o),l=s(.5),c=s(.5),u=t.link.y0-t.link.width/2,f=t.link.y0+t.link.width/2,h=t.link.y1-t.link.width/2,p=t.link.y1+t.link.width/2;return\"M\"+a+\",\"+u+\"C\"+l+\",\"+u+\" \"+c+\",\"+h+\" 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e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:u.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join(\"_\"),interactionState:t.interactionState,figure:t}}function E(t){t.attr(\"transform\",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function 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g=\"projection.\"+d[m];f(g+\".show\")&&(f(g+\".opacity\"),f(g+\".scale\"))}var v=n.getComponentMethod(\"errorbars\",\"supplyDefaults\");v(t,e,h||p||r,{axis:\"z\"}),v(t,e,h||p||r,{axis:\"y\",inherit:\"z\"}),v(t,e,h||p||r,{axis:\"x\",inherit:\"z\"})}else e.visible=!1}},{\"../../lib\":503,\"../../registry\":638,\"../scatter/line_defaults\":940,\"../scatter/marker_defaults\":946,\"../scatter/subtypes\":952,\"../scatter/text_defaults\":953,\"./attributes\":955}],960:[function(t,e,r){\"use 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n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/template_attributes\").texttemplateAttrs,s=t(\"../../components/colorscale/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=n.marker,u=n.line,f=c.line;e.exports={carpet:{valType:\"string\",editType:\"calc\"},a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},mode:l({},n.mode,{dflt:\"markers\"}),text:l({},n.text,{}),texttemplate:o({editType:\"plot\"},{keys:[\"a\",\"b\",\"text\"]}),hovertext:l({},n.hovertext,{}),line:{color:u.color,width:u.width,dash:u.dash,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:f.width,editType:\"calc\"},s(\"marker.line\")),gradient:c.gradient,editType:\"calc\"},s(\"marker\")),textfont:n.textfont,textposition:n.textposition,selected:n.selected,unselected:n.unselected,hoverinfo:l({},i.hoverinfo,{flags:[\"a\",\"b\",\"text\",\"name\"]}),hoveron:n.hoveron,hovertemplate:a()}},{\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plots/attributes\":550,\"../../plots/template_attributes\":633,\"../scatter/attributes\":927}],962:[function(t,e,r){\"use 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n=t(\"../../lib\"),i=t(\"../scatter/constants\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),c=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),f=t(\"./attributes\");e.exports=function(t,e,r,h){function p(r,i){return n.coerce(t,e,f,r,i)}p(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var d=p(\"a\"),m=p(\"b\"),g=Math.min(d.length,m.length);if(g){e._length=g,p(\"text\"),p(\"texttemplate\"),p(\"hovertext\"),p(\"mode\",g<i.PTS_LINESONLY?\"lines+markers\":\"lines\"),a.hasLines(e)&&(s(t,e,r,h,p),l(t,e,p),p(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,h,p,{gradient:!0}),a.hasText(e)&&c(t,e,h,p);var v=[];(a.hasMarkers(e)||a.hasText(e))&&(p(\"marker.maxdisplayed\"),v.push(\"points\")),p(\"fill\"),\"none\"!==e.fill&&(u(t,e,r,p),a.hasLines(e)||l(t,e,p)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||v.push(\"fills\"),\"fills\"!==p(\"hoveron\",v.join(\"+\")||\"points\")&&p(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,p)}else e.visible=!1}},{\"../../lib\":503,\"../scatter/constants\":931,\"../scatter/fillcolor_defaults\":935,\"../scatter/line_defaults\":940,\"../scatter/line_shape_defaults\":942,\"../scatter/marker_defaults\":946,\"../scatter/subtypes\":952,\"../scatter/text_defaults\":953,\"./attributes\":961}],964:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,i){var a=n[i];return t.a=a.a,t.b=a.b,t.y=a.y,t}},{}],965:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r={},n=e._carpet,i=n.ab2ij([t.a,t.b]),a=Math.floor(i[0]),o=i[0]-a,s=Math.floor(i[1]),l=i[1]-s,c=n.evalxy([],a,s,o,l);return r.yLabel=c[1].toFixed(3),r}},{}],966:[function(t,e,r){\"use strict\";var n=t(\"../scatter/hover\"),i=t(\"../../lib\").fillText;e.exports=function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,c=t.xa._length,u=c*l/2,f=c-u;return s.x0=Math.max(Math.min(s.x0,f),u),s.x1=Math.max(Math.min(s.x1,f),u),o}var h=s.cd[s.index];s.a=h.a,s.b=h.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var p=s.trace,d=p._carpet,m=p._module.formatLabels(h,p);s.yLabel=m.yLabel,delete s.text;var g=[];if(!p.hovertemplate){var v=(h.hi||p.hoverinfo).split(\"+\");-1!==v.indexOf(\"all\")&&(v=[\"a\",\"b\",\"text\"]),-1!==v.indexOf(\"a\")&&y(d.aaxis,h.a),-1!==v.indexOf(\"b\")&&y(d.baxis,h.b),g.push(\"y: \"+s.yLabel),-1!==v.indexOf(\"text\")&&i(h,p,g),s.extraText=g.join(\"<br>\")}return o}function y(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,\"\"):t._hovertitle,g.push(r+\": \"+e.toFixed(3)+t.labelsuffix)}}},{\"../../lib\":503,\"../scatter/hover\":938}],967:[function(t,e,r){\"use 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n=t(\"../../lib\"),i=t(\"../scatter/subtypes\"),a=t(\"../scatter/marker_defaults\"),o=t(\"../scatter/line_defaults\"),s=t(\"../scatter/text_defaults\"),l=t(\"../scatter/fillcolor_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,u){function f(r,i){return n.coerce(t,e,c,r,i)}var h,p=f(\"locations\");if(p&&p.length){var d,m=f(\"geojson\");(\"string\"==typeof m&&\"\"!==m||n.isPlainObject(m))&&(d=\"geojson-id\"),\"geojson-id\"===f(\"locationmode\",d)&&f(\"featureidkey\"),h=p.length}else{var 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M=p.font[r]={};M.size=(s.isTypedArray(f)?f[r]:Array.isArray(f)?n(f[r])?f[r]:0:f)*d,M.family=Array.isArray(h)?h[r]:h}else p.font={size:f*d,family:h};return p}function x(t){var e,r,n=t._length,i=t.marker,o={},l=s.isArrayOrTypedArray(i.symbol),c=s.isArrayOrTypedArray(i.color),f=s.isArrayOrTypedArray(i.line.color),d=s.isArrayOrTypedArray(i.opacity),m=s.isArrayOrTypedArray(i.size),g=s.isArrayOrTypedArray(i.line.width);if(l||(r=p.isOpenSymbol(i.symbol)),l||c||f||d){o.colors=new Array(n),o.borderColors=new Array(n);var v=u(i,i.opacity,n),y=u(i.line,i.opacity,n);if(!Array.isArray(y[0])){var x=y;for(y=Array(n),e=0;e<n;e++)y[e]=x}if(!Array.isArray(v[0])){var b=v;for(v=Array(n),e=0;e<n;e++)v[e]=b}for(o.colors=v,o.borderColors=y,e=0;e<n;e++){if(l){var _=i.symbol[e];r=p.isOpenSymbol(_)}r&&(y[e]=v[e].slice(),v[e]=v[e].slice(),v[e][3]=0)}o.opacity=t.opacity}else 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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=y(t,i)}return n}function w(t,e,r){var n={capSize:2*e.width*r,lineWidth:e.thickness*r,color:e.color};return e.copy_ystyle&&(n=t.error_y),n}var T=d.SYMBOL_SDF_SIZE,k=d.SYMBOL_SIZE,A=d.SYMBOL_STROKE,M={},S=l.symbolFuncs[0](.05*k);function E(t){if(\"circle\"===t)return null;var e,r,n=l.symbolNumber(t),a=l.symbolFuncs[n%100],o=!!l.symbolNoDot[n%100],s=!!l.symbolNoFill[n%100],c=p.isDotSymbol(t);return M[t]?M[t]:(e=c&&!o?a(1.1*k)+S:a(k),r=i(e,{w:T,h:T,viewBox:[-k,-k,k,k],stroke:s?A:-A}),M[t]=r,r||null)}e.exports={style:function(t,e){var r,n={marker:void 0,markerSel:void 0,markerUnsel:void 0,line:void 0,fill:void 0,errorX:void 0,errorY:void 0,text:void 0,textSel:void 0,textUnsel:void 0},i=t._context.plotGlPixelRatio;if(!0!==e.visible)return 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T=y-_,k=y+w;p[v+u[0]]=x-i.c2l(T),p[v+u[1]]=i.c2l(k)-x,p[v+u[2]]=0,p[v+u[3]]=0,d=Math.min(d,y-_),m=Math.max(m,y+w)}}}h[a]={positions:r,errors:p,_bnds:[d,m]}}}return p(i,l),p(a,u),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var u=n.sizes?n.sizes[i]:n.size,h=Array.isArray(s)?s[i].size:s.size,p=Array.isArray(l)?l.length>1?l[i]:l[0]:l,d=Array.isArray(c)?c.length>1?c[i]:c[0]:c,m=g[p],v=g[d],y=u?u/.8+1:0,x=-v*y-.5*v;o.offset[i]=[m*y/h,x/h]}}return o}}},{\"../../components/drawing\":388,\"../../components/fx/helpers\":402,\"../../constants/interactions\":478,\"../../lib\":503,\"../../lib/gl_format_color\":499,\"../../plots/cartesian/axis_ids\":558,\"../../registry\":638,\"../scatter/make_bubble_size_func\":944,\"../scatter/subtypes\":952,\"./constants\":982,\"./helpers\":987,\"color-normalize\":89,\"fast-isnumeric\":190,\"svg-path-sdf\":310}],984:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\"),a=t(\"./helpers\"),o=t(\"./attributes\"),s=t(\"../scatter/constants\"),l=t(\"../scatter/subtypes\"),c=t(\"../scatter/xy_defaults\"),u=t(\"../scatter/period_defaults\"),f=t(\"../scatter/marker_defaults\"),h=t(\"../scatter/line_defaults\"),p=t(\"../scatter/fillcolor_defaults\"),d=t(\"../scatter/text_defaults\");e.exports=function(t,e,r,m){function g(r,i){return n.coerce(t,e,o,r,i)}var v=!!t.marker&&a.isOpenSymbol(t.marker.symbol),y=l.isBubble(t),x=c(t,e,m,g);if(x){u(t,e,m,g),g(\"xhoverformat\"),g(\"yhoverformat\");var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",b),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,m,g),g(\"line.shape\")),l.hasMarkers(e)&&(f(t,e,r,m,g),g(\"marker.line.width\",v||y?1:0)),l.hasText(e)&&(g(\"texttemplate\"),d(t,e,m,g));var _=(e.line||{}).color,w=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&p(t,e,r,g);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,_||w||r,{axis:\"y\"}),T(t,e,_||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},{\"../../lib\":503,\"../../registry\":638,\"../scatter/constants\":931,\"../scatter/fillcolor_defaults\":935,\"../scatter/line_defaults\":940,\"../scatter/marker_defaults\":946,\"../scatter/period_defaults\":947,\"../scatter/subtypes\":952,\"../scatter/text_defaults\":953,\"../scatter/xy_defaults\":954,\"./attributes\":979,\"./helpers\":987}],985:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\"),a=t(\"../../constants/interactions\").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,f=c.selectBatch[u],h=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},m=c.textUnselectedOptions[u]||{},g=n.extendFlat({},p);if(f.length||h.length){var v=d.color,y=m.color,x=p.color,b=Array.isArray(x);for(g.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],g.color[r]=v||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;g.color[r]=y||(v?_:i.addOpacity(_,a))}}c.glText[u].update(g)}}},{\"../../components/color\":366,\"../../constants/interactions\":478,\"../../lib\":503}],986:[function(t,e,r){\"use strict\";var n=t(\"../scatter/format_labels\");e.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},{\"../scatter/format_labels\":936}],987:[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\":982}],988:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../scatter/get_trace_color\");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=Array.isArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=Array.isArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var m=d&&d.line;m&&(h.mlc=Array.isArray(m.color)?m.color[f]:m.color,h.mlw=i.isArrayOrTypedArray(m.width)?m.width[f]:m.width);var g=d&&d.gradient;g&&\"none\"!==g.type&&(h.mgt=Array.isArray(g.type)?g.type[f]:g.type,h.mgc=Array.isArray(g.color)?g.color[f]:g.color);var v=s.c2p(h.x,!0),y=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,h),x0:v-x,x1:v+x,xLabelVal:k?k[f]:h.x,y0:y-x,y1:y+x,yLabelVal:A?A[f]:h.y,cd:T,distance:c,spikeDistance:u,hovertemplate:h.ht});return h.htx?M.text=h.htx:h.tx?M.text=h.tx:o.text&&(M.text=o.text),i.fillText(h,o,M),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(h,o,M),M}e.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,c,u,f,h,p,d,m=t.cd,g=m[0].t,v=m[0].trace,y=t.xa,x=t.ya,b=g.x,_=g.y,w=y.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=y.p2c(w-k),M=y.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i=\"x\"===n?g.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):g.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=g.ids;var L=k;if(\"x\"===n){var C=!!v.xperiodalignment,P=!!v.yperiodalignment;for(u=0;u<i.length;u++){if(l=b[a=i[u]],f=Math.abs(y.c2p(l)-w),C){var I=y.c2p(v._xStarts[a]),O=y.c2p(v._xEnds[a]);f=w>=Math.min(I,O)&&w<=Math.max(I,O)?0:1/0}if(f<L){if(L=f,c=_[a],h=x.c2p(c)-T,P){var z=x.c2p(v._yStarts[a]),D=x.c2p(v._yEnds[a]);h=T>=Math.min(z,D)&&T<=Math.max(z,D)?0:1/0}d=Math.sqrt(f*f+h*h),s=i[u]}}}else for(u=i.length-1;u>-1;u--)l=b[a=i[u]],c=_[a],f=y.c2p(l)-w,h=x.c2p(c)-T,(p=Math.sqrt(f*f+h*h))<L&&(L=d=p,s=a);return t.index=s,t.distance=L,t.dxy=d,void 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_=y.count,w=v._glcanvas.data()[0].regl;if(f(t,e,r),y.dirty){if(!0===y.error2d&&(y.error2d=a(w)),!0===y.line2d&&(y.line2d=i(w)),!0===y.scatter2d&&(y.scatter2d=n(w)),!0===y.fill2d&&(y.fill2d=i(w)),!0===y.glText)for(y.glText=new Array(_),m=0;m<_;m++)y.glText[m]=new o(w);if(y.glText){if(_>y.glText.length){var T=_-y.glText.length;for(m=0;m<T;m++)y.glText.push(new o(w))}else if(_<y.glText.length){var k=y.glText.length-_;y.glText.splice(_,k).forEach((function(t){t.destroy()}))}for(m=0;m<_;m++)y.glText[m].update(y.textOptions[m])}if(y.line2d&&(y.line2d.update(y.lineOptions),y.lineOptions=y.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})),y.line2d.update(y.lineOptions)),y.error2d){var A=(y.errorXOptions||[]).concat(y.errorYOptions||[]);y.error2d.update(A)}y.scatter2d&&y.scatter2d.update(y.markerOptions),y.fillOrder=s.repeat(null,_),y.fill2d&&(y.fillOptions=y.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,c=y.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(y.fillOrder[e]=u);var f,h,p=[],d=c&&c.positions||l.positions;if(\"tozeroy\"===s.fill){for(f=0;f<d.length&&isNaN(d[f+1]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h+1]);)h-=2;0!==d[f+1]&&(p=[d[f],0]),p=p.concat(d.slice(f,h+2)),0!==d[h+1]&&(p=p.concat([d[h],0]))}else if(\"tozerox\"===s.fill){for(f=0;f<d.length&&isNaN(d[f]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h]);)h-=2;0!==d[f]&&(p=[0,d[f+1]]),p=p.concat(d.slice(f,h+2)),0!==d[h]&&(p=p.concat([0,d[h+1]]))}else 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R=y.selectBatch[I]=s.selIndices2selPoints(C),F={};for(g=0;g<R.length;g++)F[R[g]]=1;var B=[];for(g=0;g<O;g++)F[g]||B.push(g);y.unselectBatch[I]=B}var N=P.xpx=new Array(O),j=P.ypx=new Array(O);for(g=0;g<O;g++)N[g]=x.c2p(z[g]),j[g]=b.c2p(D[g])}else P.xpx=P.ypx=null}if(S){if(y.select2d||(y.select2d=n(v._glcanvas.data()[1].regl)),y.scatter2d){var U=new Array(_);for(m=0;m<_;m++)U[m]=y.selectBatch[m].length||y.unselectBatch[m].length?y.markerUnselectedOptions[m]:{};y.scatter2d.update(U)}y.select2d&&(y.select2d.update(y.markerOptions),y.select2d.update(y.markerSelectedOptions)),y.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};u.hasText(e)&&h(t)}))}else y.scatter2d&&y.scatter2d.update(y.markerOptions);var V={viewport:d(v,x,b,t._context.plotGlPixelRatio),range:[(x._rl||x.range)[0],(b._rl||b.range)[0],(x._rl||x.range)[1],(b._rl||b.range)[1]]},H=s.repeat(V,y.count);y.fill2d&&y.fill2d.update(H),y.line2d&&y.line2d.update(H),y.error2d&&y.error2d.update(H.concat(H)),y.scatter2d&&y.scatter2d.update(H),y.select2d&&y.select2d.update(H),y.glText&&y.glText.forEach((function(t){t.update(V)}))}else y.init()}}).reglPrecompiled=p},{\"../../components/dragelement/helpers\":384,\"../../lib\":503,\"../../lib/prepare_regl\":516,\"../scatter/link_traces\":943,\"../scatter/subtypes\":952,\"./edit_style\":985,\"gl-text\":225,\"regl-error2d\":279,\"regl-line2d\":280,\"regl-scatter2d\":281}],991:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,f=0;f<t;f++){if(e&&r.fillOrder[f]&&e.draw(r.fillOrder[f]),a&&r.lineOptions[f]&&a.draw(f),i&&(r.errorXOptions[f]&&i.draw(f),r.errorYOptions[f]&&i.draw(f+t)),o&&r.markerOptions[f])if(u[f].length){var h=n.repeat([],r.count);h[f]=u[f],o.draw(h)}else c[f].length||o.draw(f);s[f]&&r.textOptions[f]&&s[f].render()}l&&l.draw(c),r.dirty=!1},r.destroy=function(){r.fill2d&&r.fill2d.destroy&&r.fill2d.destroy(),r.scatter2d&&r.scatter2d.destroy&&r.scatter2d.destroy(),r.error2d&&r.error2d.destroy&&r.error2d.destroy(),r.line2d&&r.line2d.destroy&&r.line2d.destroy(),r.select2d&&r.select2d.destroy&&r.select2d.destroy(),r.glText&&r.glText.forEach((function(t){t.destroy&&t.destroy()})),r.lineOptions=null,r.fillOptions=null,r.markerOptions=null,r.markerSelectedOptions=null,r.markerUnselectedOptions=null,r.errorXOptions=null,r.errorYOptions=null,r.textOptions=null,r.textSelectedOptions=null,r.textUnselectedOptions=null,r.selectBatch=null,r.unselectBatch=null,e._scene=null}),r.dirty||n.extendFlat(r,i),r}},{\"../../lib\":503}],992:[function(t,e,r){\"use strict\";var n=t(\"../scatter/subtypes\"),i=t(\"./edit_style\").styleTextSelection;e.exports=function(t,e){var r=t.cd,a=t.xaxis,o=t.yaxis,s=[],l=r[0].trace,c=r[0].t,u=l._length,f=c.x,h=c.y,p=c._scene,d=c.index;if(!p)return s;var m=n.hasText(l),g=n.hasMarkers(l),v=!g&&!m;if(!0!==l.visible||v)return s;var y=[],x=[];if(!1!==e&&!e.degenerate)for(var b=0;b<u;b++)e.contains([c.xpx[b],c.ypx[b]],!1,b,t)?(y.push(b),s.push({pointNumber:b,x:a.c2d(f[b]),y:o.c2d(h[b])})):x.push(b);if(g){var _=p.scatter2d;if(y.length||x.length){if(!p.selectBatch[d].length&&!p.unselectBatch[d].length){var w=new Array(p.count);w[d]=p.markerUnselectedOptions[d],_.update.apply(_,w)}}else{var T=new Array(p.count);T[d]=p.markerOptions[d],_.update.apply(_,T)}}return p.selectBatch[d]=y,p.unselectBatch[d]=x,m&&i(r),s}},{\"../scatter/subtypes\":952,\"./edit_style\":985}],993:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../scattergeo/attributes\"),o=t(\"../scatter/attributes\"),s=t(\"../../plots/mapbox/layout_attributes\"),l=t(\"../../plots/attributes\"),c=t(\"../../components/colorscale/attributes\"),u=t(\"../../lib/extend\").extendFlat,f=t(\"../../plot_api/edit_types\").overrideAll,h=a.line,p=a.marker;e.exports=f({lon:a.lon,lat:a.lat,mode:u({},o.mode,{dflt:\"markers\"}),text:u({},o.text,{}),texttemplate:i({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:u({},o.hovertext,{}),line:{color:h.color,width:h.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:a.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:u({},l.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},{\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../../plots/attributes\":550,\"../../plots/mapbox/layout_attributes\":615,\"../../plots/template_attributes\":633,\"../scatter/attributes\":927,\"../scattergeo/attributes\":969}],994:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"../../constants/numerical\").BADNUM,o=t(\"../../lib/geojson_utils\"),s=t(\"../../components/colorscale\"),l=t(\"../../components/drawing\"),c=t(\"../scatter/make_bubble_size_func\"),u=t(\"../scatter/subtypes\"),f=t(\"../../plots/mapbox/convert_text_opts\"),h=t(\"../../components/fx/helpers\").appendArrayPointValue,p=t(\"../../lib/svg_text_utils\").NEWLINES,d=t(\"../../lib/svg_text_utils\").BR_TAG_ALL;function m(){return{geojson:o.makeBlank(),layout:{visibility:\"none\"},paint:{}}}function g(t,e){return i.isArrayOrTypedArray(t)?e?function(e){return n(t[e])?+t[e]:0}:function(e){return t[e]}:t?function(){return t}:v}function v(){return\"\"}function y(t){return t[0]===a}e.exports=function(t,e){var r,a=e[0].trace,x=!0===a.visible&&0!==a._length,b=\"none\"!==a.fill,_=u.hasLines(a),w=u.hasMarkers(a),T=u.hasText(a),k=w&&\"circle\"===a.marker.symbol,A=w&&\"circle\"!==a.marker.symbol,M=m(),S=m(),E=m(),L=m(),C={fill:M,line:S,circle:E,symbol:L};if(!x)return C;if((b||_)&&(r=o.calcTraceToLineCoords(e)),b&&(M.geojson=o.makePolygon(r),M.layout.visibility=\"visible\",i.extendFlat(M.paint,{\"fill-color\":a.fillcolor})),_&&(S.geojson=o.makeLine(r),S.layout.visibility=\"visible\",i.extendFlat(S.paint,{\"line-width\":a.line.width,\"line-color\":a.line.color,\"line-opacity\":a.opacity})),k){var P=function(t){var e,r,a,o,u=t[0].trace,f=u.marker,h=u.selectedpoints,p=i.isArrayOrTypedArray(f.color),d=i.isArrayOrTypedArray(f.size),m=i.isArrayOrTypedArray(f.opacity);function g(t){return u.opacity*t}p&&(r=s.hasColorscale(u,\"marker\")?s.makeColorScaleFuncFromTrace(f):i.identity);d&&(a=c(u));m&&(o=function(t){return g(n(t)?+i.constrain(t,0,1):0)});var v,x=[];for(e=0;e<t.length;e++){var 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n=t(\"../scatterpolar/attributes\"),i=t(\"../scattergl/attributes\"),a=t(\"../../plots/template_attributes\").texttemplateAttrs;e.exports={mode:n.mode,r:n.r,theta:n.theta,r0:n.r0,dr:n.dr,theta0:n.theta0,dtheta:n.dtheta,thetaunit:n.thetaunit,text:n.text,texttemplate:a({editType:\"plot\"},{keys:[\"r\",\"theta\",\"text\"]}),hovertext:n.hovertext,hovertemplate:n.hovertemplate,line:i.line,connectgaps:i.connectgaps,marker:i.marker,fill:i.fill,fillcolor:i.fillcolor,textposition:i.textposition,textfont:i.textfont,hoverinfo:n.hoverinfo,selected:n.selected,unselected:n.unselected}},{\"../../plots/template_attributes\":633,\"../scattergl/attributes\":979,\"../scatterpolar/attributes\":1002}],1010:[function(t,e,r){\"use 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A={};u.label&&(A.label=u.label),u.hasOwnProperty(\"v\")&&(A.value=u.v,A.valueLabel=b.formatValue(u.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),u.hasOwnProperty(\"color\")&&(A.color=u.color);var M=s.castOption(r,u.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,u.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},{\"../../components/drawing\":388,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../bar/style\":662,\"../bar/uniform_text\":664,\"../pie/helpers\":906,\"../pie/plot\":910,\"./constants\":1052,\"./fx\":1054,\"./helpers\":1055,\"./style\":1060,\"@plotly/d3\":58,\"d3-hierarchy\":115,\"d3-interpolate\":116}],1060:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/color\"),a=t(\"../../lib\"),o=t(\"../bar/uniform_text\").resizeText;function s(t,e,r){var n=e.data.data,o=!e.children,s=n.i,l=a.castOption(r,s,\"marker.line.color\")||i.defaultLine,c=a.castOption(r,s,\"marker.line.width\")||0;t.style(\"stroke-width\",c).call(i.fill,n.color).call(i.stroke,l).style(\"opacity\",o?r.leaf.opacity:null)}e.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(t){var e=n.select(this),r=t[0].trace;e.style(\"opacity\",r.opacity),e.selectAll(\"path.surface\").each((function(t){n.select(this).call(s,t,r)}))}))},styleOne:s}},{\"../../components/color\":366,\"../../lib\":503,\"../bar/uniform_text\":664,\"@plotly/d3\":58}],1061:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll;function u(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var f=e.exports=c(l({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:o(),xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),zhoverformat:a(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},i(\"\",{colorAttr:\"z or surfacecolor\",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:\"calc\"}),{contours:{x:u(),y:u(),z:u()},hidesurface:{valType:\"boolean\",dflt:!1},lightposition:{x:{valType:\"number\",min:-1e5,max:1e5,dflt:10},y:{valType:\"number\",min:-1e5,max:1e5,dflt:1e4},z:{valType:\"number\",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:\"number\",min:0,max:1,dflt:.8},diffuse:{valType:\"number\",min:0,max:1,dflt:.8},specular:{valType:\"number\",min:0,max:2,dflt:.05},roughness:{valType:\"number\",min:0,max:1,dflt:.5},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},opacityscale:{valType:\"any\",editType:\"calc\"},_deprecated:{zauto:l({},i.zauto,{}),zmin:l({},i.zmin,{}),zmax:l({},i.zmax,{})},hoverinfo:l({},s.hoverinfo),showlegend:l({},s.showlegend,{dflt:!1})}),\"calc\",\"nested\");f.x.editType=f.y.editType=f.z.editType=\"calc+clearAxisTypes\",f.transforms=void 0},{\"../../components/color\":366,\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../../plots/attributes\":550,\"../../plots/cartesian/axis_format_attributes\":557,\"../../plots/template_attributes\":633}],1062:[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\":374}],1063:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_surface3d,i=t(\"../../../stackgl_modules\").ndarray,a=t(\"../../../stackgl_modules\").ndarray_linear_interpolate.d2,o=t(\"../heatmap/interp2d\"),s=t(\"../heatmap/find_empties\"),l=t(\"../../lib\").isArrayOrTypedArray,c=t(\"../../lib/gl_format_color\").parseColorScale,u=t(\"../../lib/str2rgbarray\"),f=t(\"../../components/colorscale\").extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){var o=t.dataCoordinate[a];null!=o&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[i]&&void 0!==s[i][n]?t.textLabel=s[i][n]:t.textLabel=s||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function m(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function g(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(m(t,n))}return e}function v(t){for(var e=g(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function y(t,e){if(!(t<1||e<1)){for(var r=g(t),n=g(e),i=1,a=0;a<d.length;a++)i*=Math.pow(d[a],Math.max(r[a],n[a]));return i}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),i=this.getXat(e,0);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),i=this.getYat(0,e);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var i=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++)r(i,[l,c],n),t.set(l,c,a(e,i[0],i[1]))}(t,e,w,r),t}function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=y(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=v(r),++r<b&&(r=_);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,c=1+a+1,u=i(new Float32Array(l*c),[l,c]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h<t.length;++h){this.surface.padField(u,t[h]);var p=i(new Float32Array(o*s),[o,s]);T(p,u,f),t[h]=p}},p.setContourLevels=function(){var t,e,r,n=[[],[],[]],i=[!1,!1,!1],a=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(a=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(a){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=i[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,a,l=this.scene,h=l.fullSceneLayout,p=this.surface,d=c(t),m=l.dataScale,g=t.z[0].length,v=t._ylength,y=l.contourLevels;this.data=t;var x=[];for(e=0;e<3;e++)for(x[e]=[],r=0;r<g;r++)x[e][r]=[];for(r=0;r<g;r++)for(n=0;n<v;n++)x[0][r][n]=this.getXat(r,n,t.xcalendar,h.xaxis),x[1][r][n]=this.getYat(r,n,t.ycalendar,h.yaxis),x[2][r][n]=this.getZat(r,n,t.zcalendar,h.zaxis);if(t.connectgaps)for(t._emptypoints=s(x[2]),o(x[2],t._emptypoints),t._interpolatedZ=[],r=0;r<g;r++)for(t._interpolatedZ[r]=[],n=0;n<v;n++)t._interpolatedZ[r][n]=x[2][r][n];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)null==(a=x[e][r][n])?x[e][r][n]=NaN:a=x[e][r][n]*=m[e];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(this.minValues[e]>a&&(this.minValues[e]=a),this.maxValues[e]<a&&(this.maxValues[e]=a));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(x[e][r][n]-=this.objectOffset[e]);var b=[i(new Float32Array(g*v),[g,v]),i(new Float32Array(g*v),[g,v]),i(new Float32Array(g*v),[g,v])];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)b[e].set(r,n,x[e][r][n]);x=[];var w={colormap:d,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!t.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacityscale:t.opacityscale,opacity:t.opacity},T=f(t);if(w.intensityBounds=[T.min,T.max],t.surfacecolor){var k=i(new Float32Array(g*v),[g,v]);for(r=0;r<g;r++)for(n=0;n<v;n++)k.set(r,n,t.surfacecolor[n][r]);b.push(k)}else w.intensityBounds[0]*=m[2],w.intensityBounds[1]*=m[2];(_<b[0].shape[0]||_<b[0].shape[1])&&(this.refineData=!1),!0===this.refineData&&(this.dataScaleX=this.estimateScale(b[0].shape[0],0),this.dataScaleY=this.estimateScale(b[0].shape[1],1),1===this.dataScaleX&&1===this.dataScaleY||this.refineCoords(b)),t.surfacecolor&&(w.intensity=b.pop());var A=[!0,!0,!0],M=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=y[e],p.highlightColor[e]=w.contourColor[e]=u(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=u(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in t&&(p.ambientLight=t.lighting.ambient,p.diffuseLight=t.lighting.diffuse,p.specularLight=t.lighting.specular,p.roughness=t.lighting.roughness,p.fresnel=t.lighting.fresnel),\"lightposition\"in t&&(p.lightPosition=[t.lightposition.x,t.lightposition.y,t.lightposition.z])},p.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new h(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},{\"../../../stackgl_modules\":1124,\"../../components/colorscale\":378,\"../../lib\":503,\"../../lib/gl_format_color\":499,\"../../lib/str2rgbarray\":528,\"../heatmap/find_empties\":798,\"../heatmap/interp2d\":801}],1064:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../../components/colorscale/defaults\"),o=t(\"./attributes\");function s(t,e,r,n){var 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this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],f=8191&u,h=u>>>13,p=0|o[1],d=8191&p,m=p>>>13,g=0|o[2],v=8191&g,y=g>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],I=8191&P,O=P>>>13,z=0|o[8],D=8191&z,R=z>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,H=0|s[1],q=8191&H,G=H>>>13,Y=0|s[2],W=8191&Y,X=Y>>>13,Z=0|s[3],J=8191&Z,K=Z>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ft=8191&ut,ht=ut>>>13,pt=0|s[9],dt=8191&pt,mt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(c+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;c=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(m,U)|0,a=Math.imul(m,V);var vt=(c+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;c=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),i=(i=Math.imul(v,V))+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0;var yt=(c+(n=n+Math.imul(f,W)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,W)|0))<<13)|0;c=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(v,q)|0,i=(i=i+Math.imul(v,G)|0)+Math.imul(y,q)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(m,W)|0,a=a+Math.imul(m,X)|0;var xt=(c+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;c=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,i=(i=i+Math.imul(v,X)|0)+Math.imul(y,W)|0,a=a+Math.imul(y,X)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0;var bt=(c+(n=n+Math.imul(f,$)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,$)|0))<<13)|0;c=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,W)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,W)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(v,J)|0,i=(i=i+Math.imul(v,K)|0)+Math.imul(y,J)|0,a=a+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(m,$)|0,a=a+Math.imul(m,tt)|0;var _t=(c+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;c=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,i=(i=i+Math.imul(v,tt)|0)+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0;var wt=(c+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;c=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(I,U),i=(i=Math.imul(I,V))+Math.imul(O,U)|0,a=Math.imul(O,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,W)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,$)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,i=(i=i+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0;var Tt=(c+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ct)|0)+Math.imul(h,lt)|0))<<13)|0;c=((a=a+Math.imul(h,ct)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(I,q)|0,i=(i=i+Math.imul(I,G)|0)+Math.imul(O,q)|0,a=a+Math.imul(O,G)|0,n=n+Math.imul(L,W)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,W)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,$)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,$)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(v,at)|0,i=(i=i+Math.imul(v,ot)|0)+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ct)|0;var kt=(c+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;c=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,q)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(I,W)|0,i=(i=i+Math.imul(I,X)|0)+Math.imul(O,W)|0,a=a+Math.imul(O,X)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,$)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,i=(i=i+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,a=a+Math.imul(y,ct)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var At=(c+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,mt)|0)+Math.imul(h,dt)|0))<<13)|0;c=((a=a+Math.imul(h,mt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(D,W)|0,i=(i=i+Math.imul(D,X)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(I,J)|0,i=(i=i+Math.imul(I,K)|0)+Math.imul(O,J)|0,a=a+Math.imul(O,K)|0,n=n+Math.imul(L,$)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,$)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ct)|0,n=n+Math.imul(v,ft)|0,i=(i=i+Math.imul(v,ht)|0)+Math.imul(y,ft)|0,a=a+Math.imul(y,ht)|0;var Mt=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,mt)|0)+Math.imul(m,dt)|0))<<13)|0;c=((a=a+Math.imul(m,mt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,X))+Math.imul(N,W)|0,a=Math.imul(N,X),n=n+Math.imul(D,J)|0,i=(i=i+Math.imul(D,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(I,$)|0,i=(i=i+Math.imul(I,tt)|0)+Math.imul(O,$)|0,a=a+Math.imul(O,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ct)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(c+(n=n+Math.imul(v,dt)|0)|0)+((8191&(i=(i=i+Math.imul(v,mt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((a=a+Math.imul(y,mt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(D,$)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,$)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(I,rt)|0,i=(i=i+Math.imul(I,nt)|0)+Math.imul(O,rt)|0,a=a+Math.imul(O,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ct)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ct)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,mt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((a=a+Math.imul(_,mt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),i=(i=Math.imul(B,tt))+Math.imul(N,$)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(I,at)|0,i=(i=i+Math.imul(I,ot)|0)+Math.imul(O,at)|0,a=a+Math.imul(O,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ct)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ct)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,mt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((a=a+Math.imul(k,mt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(I,lt)|0,i=(i=i+Math.imul(I,ct)|0)+Math.imul(O,lt)|0,a=a+Math.imul(O,ct)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(c+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,mt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,mt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ct)|0,n=n+Math.imul(I,ft)|0,i=(i=i+Math.imul(I,ht)|0)+Math.imul(O,ft)|0,a=a+Math.imul(O,ht)|0;var Pt=(c+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,mt)|0)+Math.imul(C,dt)|0))<<13)|0;c=((a=a+Math.imul(C,mt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),n=n+Math.imul(D,ft)|0,i=(i=i+Math.imul(D,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var It=(c+(n=n+Math.imul(I,dt)|0)|0)+((8191&(i=(i=i+Math.imul(I,mt)|0)+Math.imul(O,dt)|0))<<13)|0;c=((a=a+Math.imul(O,mt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var Ot=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,mt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,mt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863;var zt=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,mt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,mt))+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,l[0]=gt,l[1]=vt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=It,l[17]=Ot,l[18]=zt,0!==c&&(l[19]=c,r.length++),r};function m(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?d(this,t,e):r<63?p(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),c=Math.max(0,a-t.length+1);c<=l;c++){var u=a-c,f=(0|t.words[u])*(0|e.words[c]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):m(this,t,e)},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<i;u+=s)for(var f=l,h=c,p=0;p<o;p++){var d=r[u+p],m=n[u+p],g=r[u+p+o],v=n[u+p+o],y=f*g-h*v;v=f*v+h*g,g=y,r[u+p]=d+g,n[u+p]=m+v,r[u+p+o]=d-g,n[u+p+o]=m-v,p!==s&&(y=l*f-c*h,h=l*h+c*f,f=y)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,a,s,l,n,i),this.transform(c,a,u,f,n,i);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),m(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=i);c--){var f=0|this.words[c];this.words[c]=u<<26-a|f>>>a,u=f&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r)&&!!(this.words[r]&i)},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!==(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(i,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(u),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,m=1;0==(r.words[0]&m)&&d<26;++d,m<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return 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numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var v={k256:null,p224:null,p192:null,p25519:null};function y(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){y.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function b(){y.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){y.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){y.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}y.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},y.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},y.prototype.split=function(t,e){t.iushrn(this.n,0,e)},y.prototype.imulK=function(t){return t.imul(this.k)},i(x,y),x.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n<r;n++)e.words[n]=t.words[n];if(e.length=r,t.length<=9)return t.words[0]=0,void(t.length=1);var i=t.words[9];for(e.words[e.length++]=4194303&i,n=10;n<t.length;n++){var a=0|t.words[n];t.words[n-10]=(4194303&a)<<4|i>>>22,i=a}i>>>=22,t.words[n-10]=i,0===i&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,y),i(_,y),i(w,y),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(v[t])return v[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new b;else if(\"p192\"===t)e=new _;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return v[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new a(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var f=this.pow(u,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var m=p,g=0;0!==m.cmp(s);g++)m=m.redSqr();n(g<d);var v=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(v),f=v.redSqr(),p=p.redMul(f),d=g}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var c=e.words[n],u=l-1;u>=0;u--){var f=c>>u&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4===++s||0===n&&0===u)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var r=t.mul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),o=i;return i.cmp(this.m)>=0?o=i.isub(this.m):i.cmpn(0)<0&&(o=i.iadd(this.m)),o._forceRed(this)},k.prototype.invm=function(t){return this.imod(t._invmp(this.m).mul(this.r2))._forceRed(this)}}(void 0===e||e,this)},{buffer:2}],34:[function(t,e,r){\"use strict\";e.exports=function(t){var e,r,n,i=t.length,a=0;for(e=0;e<i;++e)a+=t[e].length;var o=new Array(a),s=0;for(e=0;e<i;++e){var l=t[e],c=l.length;for(r=0;r<c;++r){var u=o[s++]=new Array(c-1),f=0;for(n=0;n<c;++n)n!==r&&(u[f++]=l[n]);if(1&r){var h=u[1];u[1]=u[0],u[0]=h}}}return o}},{}],35:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){switch(arguments.length){case 1:return f(t);case 2:return\"function\"==typeof e?c(t,t,e,!0):h(t,e);case 3:return c(t,e,r,!1);default:throw new Error(\"box-intersect: Invalid arguments\")}};var n,i=t(\"typedarray-pool\"),a=t(\"./lib/sweep\"),o=t(\"./lib/intersect\");function s(t,e){for(var r=0;r<t;++r)if(!(e[r]<=e[r+t]))return!0;return!1}function l(t,e,r,n){for(var i=0,a=0,o=0,l=t.length;o<l;++o){var c=t[o];if(!s(e,c)){for(var u=0;u<2*e;++u)r[i++]=c[u];n[a++]=o}}return a}function c(t,e,r,n){var s=t.length,c=e.length;if(!(s<=0||c<=0)){var u=t[0].length>>>1;if(!(u<=0)){var f,h=i.mallocDouble(2*u*s),p=i.mallocInt32(s);if((s=l(t,u,h,p))>0){if(1===u&&n)a.init(s),f=a.sweepComplete(u,r,0,s,h,p,0,s,h,p);else{var d=i.mallocDouble(2*u*c),m=i.mallocInt32(c);(c=l(e,u,d,m))>0&&(a.init(s+c),f=1===u?a.sweepBipartite(u,r,0,s,h,p,0,c,d,m):o(u,r,n,s,h,p,c,d,m),i.free(d),i.free(m))}i.free(h),i.free(p)}return f}}}function u(t,e){n.push([t,e])}function f(t){return n=[],c(t,t,u,!0),n}function h(t,e){return n=[],c(t,e,u,!1),n}},{\"./lib/intersect\":37,\"./lib/sweep\":41,\"typedarray-pool\":308}],36:[function(t,e,r){\"use strict\";function n(t){return t?function(t,e,r,n,i,a,o,s,l,c,u){return i-n>l-s?function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=n,p=f*n;h<i;++h,p+=f){var d=a[e+p],m=a[e+p+t],g=o[h];t:for(var v=s,y=f*s;v<l;++v,y+=f){var x=c[e+y],b=c[e+y+t],_=u[v];if(!(b<d||m<x)){for(var w=e+1;w<t;++w){var T=a[w+p],k=a[w+t+p],A=c[w+y],M=c[w+t+y];if(k<A||M<T)continue t}var S=r(g,_);if(void 0!==S)return S}}}}(t,e,r,n,i,a,o,s,l,c,u):function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=s,p=f*s;h<l;++h,p+=f){var d=c[e+p],m=c[e+p+t],g=u[h];t:for(var v=n,y=f*n;v<i;++v,y+=f){var x=a[e+y],b=a[e+y+t],_=o[v];if(!(m<x||b<d)){for(var w=e+1;w<t;++w){var T=a[w+y],k=a[w+t+y],A=c[w+p],M=c[w+t+p];if(k<A||M<T)continue t}var S=r(_,g);if(void 0!==S)return S}}}}(t,e,r,n,i,a,o,s,l,c,u)}:function(t,e,r,n,i,a,o,s,l,c,u,f){return a-i>c-l?n?function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=n,p=f*n;h<i;++h,p+=f){var d=a[e+p],m=a[e+p+t],g=o[h];t:for(var v=s,y=f*s;v<l;++v,y+=f){var x=c[e+y],b=u[v];if(!(x<=d||m<x)){for(var _=e+1;_<t;++_){var w=a[_+p],T=a[_+t+p],k=c[_+y],A=c[_+t+y];if(T<k||A<w)continue t}var M=r(b,g);if(void 0!==M)return 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e=i.nextPow2(t);o.length<e&&(n.free(o),o=n.mallocInt32(e));s.length<e&&(n.free(s),s=n.mallocInt32(e));l.length<e&&(n.free(l),l=n.mallocInt32(e));c.length<e&&(n.free(c),c=n.mallocInt32(e));u.length<e&&(n.free(u),u=n.mallocInt32(e));f.length<e&&(n.free(f),f=n.mallocInt32(e));var r=8*e;h.length<r&&(n.free(h),h=n.mallocDouble(r))},sweepBipartite:function(t,e,r,n,i,u,f,m,g,v){for(var y=0,x=2*t,b=t-1,_=x-1,w=r;w<n;++w){var T=u[w],k=x*w;h[y++]=i[k+b],h[y++]=-(T+1),h[y++]=i[k+_],h[y++]=T}for(w=f;w<m;++w){T=v[w]+(1<<28);var A=x*w;h[y++]=g[A+b],h[y++]=-T,h[y++]=g[A+_],h[y++]=T}var M=y>>>1;a(h,M);var S=0,E=0;for(w=0;w<M;++w){var L=0|h[2*w+1];if(L>=1<<28)p(l,c,E--,L=L-(1<<28)|0);else if(L>=0)p(o,s,S--,L);else if(L<=-(1<<28)){L=-L-(1<<28)|0;for(var C=0;C<S;++C){if(void 0!==(P=e(o[C],L)))return P}d(l,c,E++,L)}else{L=-L-1|0;for(C=0;C<E;++C){var P;if(void 0!==(P=e(L,l[C])))return P}d(o,s,S++,L)}}},sweepComplete:function(t,e,r,n,i,m,g,v,y,x){for(var b=0,_=2*t,w=t-1,T=_-1,k=r;k<n;++k){var 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e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<=0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.gt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>=0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new h(this,n);r=i<=0?r.left:r.right}return new h(this,[])},l.remove=function(t){var e=this.find(t);return e?e.remove():this},l.get=function(t){for(var e=this._compare,r=this.root;r;){var n=e(t,r.key);if(0===n)return r.value;r=n<=0?r.left:r.right}};var p=h.prototype;function d(t,e){t.key=e.key,t.value=e.value,t.left=e.left,t.right=e.right,t._color=e._color,t._count=e._count}function m(t,e){return t<e?-1:t>e?1:0}Object.defineProperty(p,\"valid\",{get:function(){return this._stack.length>0}}),Object.defineProperty(p,\"node\",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),p.clone=function(){return new h(this.tree,this._stack.slice())},p.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var e=new Array(t.length),r=t[t.length-1];e[e.length-1]=new n(r._color,r.key,r.value,r.left,r.right,r._count);for(var l=t.length-2;l>=0;--l){(r=t[l]).left===t[l+1]?e[l]=new n(r._color,r.key,r.value,e[l+1],r.right,r._count):e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count)}if((r=e[e.length-1]).left&&r.right){var c=e.length;for(r=r.left;r.right;)e.push(r),r=r.right;var u=e[c-1];e.push(new n(r._color,u.key,u.value,r.left,r.right,r._count)),e[c-1].key=r.key,e[c-1].value=r.value;for(l=e.length-2;l>=c;--l)r=e[l],e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count);e[c-1].left=e[c]}if(0===(r=e[e.length-1])._color){var f=e[e.length-2];f.left===r?f.left=null:f.right===r&&(f.right=null),e.pop();for(l=0;l<e.length;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(r.left||r.right){r.left?d(r,r.left):r.right&&d(r,r.right),r._color=1;for(l=0;l<e.length-1;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(1===e.length)return new s(this.tree._compare,null);for(l=0;l<e.length;++l)e[l]._count--;var h=e[e.length-2];return function(t){for(var e,r,n,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((r=t[l-1]).left===e){if((n=r.right).right&&0===n.right._color){if(s=(n=r.right=i(n)).right=i(n.right),r.right=n.left,n.left=r,n.right=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).left===r?c.left=n:c.right=n;return void(t[l-1]=n)}if(n.left&&0===n.left._color){if(s=(n=r.right=i(n)).left=i(n.left),r.right=s.left,n.left=s.right,s.left=r,s.right=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).left===r?c.left=s:c.right=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.right=a(0,n));r.right=a(0,n);continue}n=i(n),r.right=n.left,n.left=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).left===r?c.left=n:c.right=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((n=r.left).left&&0===n.left._color){if(s=(n=r.left=i(n)).left=i(n.left),r.left=n.right,n.right=r,n.left=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).right===r?c.right=n:c.left=n;return void(t[l-1]=n)}if(n.right&&0===n.right._color){if(s=(n=r.left=i(n)).right=i(n.right),r.left=s.right,n.right=s.left,s.right=r,s.left=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).right===r?c.right=s:c.left=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.left=a(0,n));r.left=a(0,n);continue}var c;n=i(n),r.left=n.right,n.right=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).right===r?c.right=n:c.left=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(e),h.left===r?h.left=null:h.right=null,new s(this.tree._compare,e[0])},Object.defineProperty(p,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(p,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(p,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),p.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),p.update=function(t){var e=this._stack;if(0===e.length)throw new Error(\"Can't update empty node!\");var r=new Array(e.length),i=e[e.length-1];r[r.length-1]=new n(i._color,i.key,t,i.left,i.right,i._count);for(var a=e.length-2;a>=0;--a)(i=e[a]).left===e[a+1]?r[a]=new n(i._color,i.key,i.value,r[a+1],i.right,i._count):r[a]=new n(i._color,i.key,i.value,i.left,r[a+1],i._count);return new s(this.tree._compare,r[0])},p.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},{}],70:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=new u(t);return r.update(e),r};var n=t(\"./lib/text.js\"),i=t(\"./lib/lines.js\"),a=t(\"./lib/background.js\"),o=t(\"./lib/cube.js\"),s=t(\"./lib/ticks.js\"),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function c(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function u(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=\"sans-serif\",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=u.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,f=!1;if(\"bounds\"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if(\"ticks\"in t){r=t.ticks,u=!0,this.autoTicks=!1;for(p=0;p<3;++p)this.tickSpacing[p]=0}else a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),f=!0,u=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(u=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),c(\"tickColor\");var m=l(\"labels\");l(\"labelFont\")&&(m=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\"),this._text?this._text&&(m||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var f=a,h=s,p=o,d=l;c&1<<u&&(f=s,h=a,p=l,d=o),f[u]=r[0][u],h[u]=r[1][u],i[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var m=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var v=[0,0,0],y=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,u=o(r,n,i,a,s),f=u.cubeEdges,h=u.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E=m;for(A=0;A<3;++A)this.backgroundEnable[A]?E[A]=h[A]:E[A]=0;this._background.draw(r,n,i,a,E,this.backgroundColor),this._lines.bind(r,n,i,this);for(A=0;A<3;++A){var L=[0,0,0];h[A]>0?L[A]=a[1][A]:L[A]=a[0][A];for(var C=0;C<2;++C){var P=(A+1+C)%3,I=(A+1+(1^C))%3;this.gridEnable[P]&&this._lines.drawGrid(P,I,this.bounds,L,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(C=0;C<2;++C){P=(A+1+C)%3,I=(A+1+(1^C))%3;this.zeroEnable[I]&&Math.min(a[0][I],a[1][I])<=0&&Math.max(a[0][I],a[1][I])>=0&&this._lines.drawZero(P,I,this.bounds,L,this.zeroLineColor[I],this.zeroLineWidth[I]*this.pixelRatio)}}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var O=c(v,M[A].primalMinor),z=c(y,M[A].mirrorMinor),D=this.lineTickLength;for(C=0;C<3;++C){var R=k/r[5*C];O[C]*=D[C]*R,z[C]*=D[C]*R}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,O,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,H=c(x,M[A].primalOffset);for(C=0;C<3;++C)this.lineTickEnable[A]&&(H[C]+=k*U[C]*Math.max(this.lineTickLength[C],0)/r[5*C]);var q=[0,0,0];if(q[A]=1,this.tickEnable[A]){-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,F=1,\"auto\"===(S=[this.tickAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),B=[0,0,0],j(A,U,V);for(C=0;C<3;++C)H[C]+=k*U[C]*this.tickPad[C]/r[5*C];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,B,S)}if(this.labelEnable[A]){F=0,B=[0,0,0],this.labels[A].length>4&&(N(A),F=1),\"auto\"===(S=[this.labelAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]);for(C=0;C<3;++C)H[C]+=k*U[C]*this.labelPad[C]/r[5*C];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],B,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":71,\"./lib/cube.js\":72,\"./lib/lines.js\":73,\"./lib/text.js\":75,\"./lib/ticks.js\":76}],71:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[c]=d;for(var m=-1;m<=1;m+=2)f[u]=m,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=c;c=u,u=g}var v=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:v,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:v,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,v,x,b)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders\":74,\"gl-buffer\":78,\"gl-vao\":150}],72:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=a[x][2];for(var b=0;b<2;++b){u[1]=a[b][1];for(var _=0;_<2;++_)u[0]=a[_][0],h(l[y],u,s),y+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);o(c[O],c[P],c[I],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);var O,z=d([l[O],l[P],l[I],l[O+(1<<M)+(1<<S)]]);C?E=z:L=z}L>E&&(w|=1<<A)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||c[R][1]>c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x){if((N=R^1<<x)!==w&&N!==D)F<0&&(F=N),(S=c[N])[0]<c[F][0]&&(F=N)}var B=-1;for(x=0;x<3;++x){var N;if((N=R^1<<x)!==w&&N!==D&&N!==F)B<0&&(B=N),(S=c[N])[0]>c[B][0]&&(B=N)}var j=m;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,H=w;for(A=0;A<3;++A)V[A]=H&1<<A?-1:1;return v};var n=t(\"bit-twiddle\"),i=t(\"gl-mat4/multiply\"),a=t(\"split-polygon\"),o=t(\"robust-orientation\"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(c*h-u*f)}return o}var m=[1,1,1],g=[0,0,0],v={cubeEdges:m,axis:g}},{\"bit-twiddle\":32,\"gl-mat4/multiply\":100,\"robust-orientation\":284,\"split-polygon\":300}],73:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var m=+r[f][d].x;o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h;h=o.length/3|0;for(var v=0;v<r[f].length;++v){m=+r[f][v].x;o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1)}g=o.length/3|0;c[f]=h,u[f]=g-h}var y=n(t,new Float32Array(o)),x=i(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,u=h(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var u=f(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=h(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var m=f(l);m[t]=1,this.shader.uniforms.screenAxis=m,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=h(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":74,\"gl-buffer\":78,\"gl-vao\":150}],74:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.line=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.text=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);r.bg=function(t){return i(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},{\"gl-shader\":132,glslify:231}],75:[function(t,e,r){(function(r){(function(){\"use strict\";e.exports=function(t,e,r,a,s,l){var u=n(t),f=i(t,[{buffer:u,size:3}]),h=o(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,a,s,l),p};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"vectorize-text\"),o=t(\"./shaders\").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,f=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,i){var o=[];function s(t,e,r,n,i,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return a(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=u.positions,p=u.cells,d=0,m=p.length;d<m;++d)for(var g=p[d],v=2;v>=0;--v){var y=h[g[v]];o.push(f*y[0],-f*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(o.length/3|0)-f[d],c[d]=o.length/3|0;for(var m=0;m<n[d].length;++m)n[d][m].text&&s(n[d][m].x,n[d][m].text,n[d][m].font||i,n[d][m].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=f,this.labelCount=h},u.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},u.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this)}).call(this,t(\"_process\"))},{\"./shaders\":74,_process:5,\"gl-buffer\":78,\"gl-vao\":150,\"vectorize-text\":311}],76:[function(t,e,r){\"use strict\";function n(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,c=o%a;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=\"\"+l;if(o<0&&(u=\"-\"+u),i){for(var f=\"\"+c;f.length<i;)f=\"0\"+f;return u+\".\"+f}return u}r.create=function(t,e){for(var r=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:n(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:n(e[i],o)});r.push(a)}return r},r.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},{}],77:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,l,f){var h=e.model||c,p=e.view||c,v=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,v,x,y)).axis;o(u,p,h),o(u,v,u);for(var _=m,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(u,u));s(u,u);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=y?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var I=d(g,u,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(I[C])))}}}}return _};var n=t(\"extract-frustum-planes\"),i=t(\"split-polygon\"),a=t(\"./lib/cube.js\"),o=t(\"gl-mat4/multiply\"),s=t(\"gl-mat4/transpose\"),l=t(\"gl-vec4/transformMat4\"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+f*f)}return t}var m=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},{\"./lib/cube.js\":72,\"extract-frustum-planes\":67,\"gl-mat4/multiply\":100,\"gl-mat4/transpose\":109,\"gl-vec4/transformMat4\":221,\"split-polygon\":300}],78:[function(t,e,r){\"use strict\";var n=t(\"typedarray-pool\"),i=t(\"ndarray-ops\"),a=t(\"ndarray\"),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function c(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},{ndarray:259,\"ndarray-ops\":254,\"typedarray-pool\":308}],79:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\");e.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,f=1/0,h=-1/0,p=null,d=null,m=[],g=1/0,v=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),v=!1):v=!0}v||(p=x,d=b),m.push(b)}var w=[s,c,f],T=[l,u,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A;y=0;for(var M=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],L=x[2],C=m[y],P=n.length(C)*k,I=0;I<8;I++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var O=a.positions.length;a.cells.push([O-6,O-5,O-4],[O-3,O-2,O-1])}return a};var i=t(\"./lib/shaders\");e.exports.createMesh=t(\"./create_mesh\"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:i,traceType:\"cone\"})}},{\"./create_mesh\":80,\"./lib/shaders\":81,\"gl-vec3\":169}],80:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"gl-mat4/multiply\"),l=t(\"gl-mat4/invert\"),c=t(\"ndarray\"),u=t(\"colormap\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;function d(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}function m(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,m=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],m=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var v=p[g];d=Math.min(d,v),m=Math.max(m,v)}else for(g=0;g<n.length;++g){v=n[g][2];d=Math.min(d,v),m=Math.max(m,v)}this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(g=0;g<n.length;++g)for(var y=n[g],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];switch(_.length){case 3:for(x=0;x<3;++x){y=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var T;y=n[T=_[2-x]];a.push(y[0],y[1],y[2],y[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(m-d),0]:[(y[2]-d)/(m-d),0],l.push(A[0],A[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/h}if(this.triangleCount>0){var m=this.triShader;m.bind(),m.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=m(t,n),u=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));u.generateMipmap(),u.minFilter=t.LINEAR_MIPMAP_LINEAR,u.magFilter=t.LINEAR;var f=i(t),p=i(t),g=i(t),v=i(t),y=i(t),x=a(t,[{buffer:f,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new h(t,u,s,l,f,p,y,g,v,x,r.traceType||\"cone\");return b.update(e),b}},{colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-shader\":132,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259}],81:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},{glslify:231}],82:[function(t,e,r){e.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORM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t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var m=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return m._shape[0]},set:function(t){return m.width=t}},1:{get:function(){return m._shape[1]},set:function(t){return m.height=t}}}),this._shapeVector=g,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,m=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var v=0;v<o;++v)t.color[v]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+v);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension(\"WEBGL_depth_texture\");y?d?t.depth=h(r,i,a,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):m&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(v=0;v<t.color.length;++v)t.color[v].dispose(),t.color[v]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),f(x)}u(r,e)}(this)}var m=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,a),f(s)),u(n,a)}}Object.defineProperties(m,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),m.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},m.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\"gl-texture2d\":146}],87:[function(t,e,r){var n=t(\"sprintf-js\").sprintf,i=t(\"gl-constants/lookup\"),a=t(\"glsl-shader-name\"),o=t(\"add-line-numbers\");e.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var m=parseInt(d.split(\":\")[2]);if(isNaN(m))throw new Error(n(\"Could not parse error: %s\",d));h[m]=d}}var g=o(e).split(\"\\n\");for(p=0;p<g.length;p++)if(h[p+3]||h[p+2]||h[p+1]){var v=g[p];if(c+=v+\"\\n\",h[p+1]){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),c+=n(\"^^^ %s\\n\\n\",y)}}return{long:c.trim(),short:u.trim()}}},{\"add-line-numbers\":9,\"gl-constants/lookup\":83,\"glsl-shader-name\":223,\"sprintf-js\":301}],88:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),i=o(r,l.pickVertex,l.pickFragment),a=s(r),u=s(r),f=s(r),h=s(r),p=new c(t,n,i,a,u,f,h);return p.update(e),t.addObject(p),p};var n=t(\"binary-search-bounds\"),i=t(\"iota-array\"),a=t(\"typedarray-pool\"),o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"./lib/shaders\");function c(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,f=c.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],c=a[3]-a[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-a[0])/l-1,u[7]=2*(r[1]-a[1])/c-1,e.bind();var f=e.uniforms;f.viewTransform=u,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=a[2]-a[0],u=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*c/f,t[4]=2*u/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var m=i.attributes;return this.positionBuffer.bind(),m.position.pointer(),this.weightBuffer.bind(),m.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),m.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,f,p,d=t.colorLevels||[0],m=t.colorValues||[0,0,0,1],g=d.length,v=this.bounds;l?(c=v[0]=r[0],u=v[1]=o[0],f=v[2]=r[r.length-1],p=v[3]=o[o.length-1]):(c=v[0]=r[0]+(r[1]-r[0])/2,u=v[1]=o[0]+(o[1]-o[0])/2,f=v[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=v[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var y=1/(f-c),x=1/(p-u),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,I;l?(P=x*(o[C]-u),I=x*(o[C+1]-u)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-u):x*(o[C]-(o[C]-o[C-1])/2-u),I=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-u):x*(o[C]+(o[C]-o[C-1])/2-u));for(var O=0;O<E;++O){var z,D;l?(z=y*(r[O]-c),D=y*(r[O+1]-c)):(z=O<b-1?y*(r[O]-(r[O+1]-r[O])/2-c):y*(r[O]-(r[O]-r[O-1])/2-c),D=O<b-1?y*(r[O]+(r[O+1]-r[O])/2-c):y*(r[O]+(r[O]-r[O-1])/2-c));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],H=s[l?(C+V)*b+(O+U):C*b+O],q=n.le(d,H);if(q<0)F=m[0],B=m[1],N=m[2],j=m[3];else if(q===g-1)F=m[4*g-4],B=m[4*g-3],N=m[4*g-2],j=m[4*g-1];else{var G=(H-d[q])/(d[q+1]-d[q]),Y=1-G,W=4*q,X=4*(q+1);F=Y*m[W]+G*m[X],B=Y*m[W+1]+G*m[X+1],N=Y*m[W+2]+G*m[X+2],j=Y*m[W+3]+G*m[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*z+.5*D,k[2*S+1]=.5*P+.5*I,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+O,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":89,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132,\"iota-array\":235,\"typedarray-pool\":308}],89:[function(t,e,r){\"use strict\";var n=t(\"glslify\");e.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},{glslify:231}],90:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return i(t,a,o,null,l)},r.createPickShader=function(t){return i(t,a,s,null,l)}},{\"gl-shader\":132,glslify:231}],91:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=a(e,u);d.wrap=e.REPEAT;var m=new v(e,r,o,s,l,d);return m.update(t),m};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"gl-texture2d\"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t(\"binary-search-bounds\"),c=t(\"ndarray\"),u=t(\"./lib/shaders\"),f=u.createShader,h=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function m(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var y=v.prototype;y.isTransparent=function(){return this.hasAlpha},y.isOpaque=function(){return!this.hasAlpha},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:m(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:m(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,u=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],m=t.lineWidth||1,g=!1;t:for(e=1;e<h.length;++e){var v,y,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);u+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(v=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],y=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):v=y=p,3===v.length&&(v=[v[0],v[1],v[2],1]),3===y.length&&(y=[y[0],y[1],y[2],1]),!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0),x=Array.isArray(m)?m.length>e-1?m[e-1]:m.length>0?m[m.length-1]:[0,0,0,1]:m;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3]);u+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,v[0],v[1],v[2],v[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,y[0],y[1],y[2],y[3]),u+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=u,this.points=o,this.arcLength=a,\"dashes\"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e<k.length;++e)k[e]=k[e-1]+k[e];var A=c(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)A.set(e,0,r,0);1&l.le(k,k[k.length-1]*e/255)?A.set(e,0,0,0):A.set(e,0,0,255)}this.texture.setPixels(A)}},y.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r,n){return o[0]=n,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2],0),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new g(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),c=1-a,u=[0,0,0],f=0;f<3;++f)u[f]=c*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new g(e,u,h,this.points[h])}},{\"./lib/shaders\":90,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259}],92:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},{}],93:[function(t,e,r){e.exports=function(){var t=new Float32Array(16);return 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t[0]=1-(p+m),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+m),t[6]=d+g,t[7]=0,t[8]=h+v,t[9]=d-g,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],97:[function(t,e,r){e.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],98:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=e[9],h=e[10],p=e[11],d=e[12],m=e[13],g=e[14],v=e[15],y=r*s-n*o,x=r*l-i*o,b=r*c-a*o,_=n*l-i*s,w=n*c-a*s,T=i*c-a*l,k=u*m-f*d,A=u*g-h*d,M=u*v-p*d,S=f*g-h*m,E=f*v-p*m,L=h*v-p*g,C=y*L-x*E+b*S+_*M-w*A+T*k;if(!C)return null;return C=1/C,t[0]=(s*L-l*E+c*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(m*T-g*w+v*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-c*A)*C,t[5]=(r*L-i*M+a*A)*C,t[6]=(g*b-d*T-v*x)*C,t[7]=(u*T-h*b+p*x)*C,t[8]=(o*E-s*M+c*k)*C,t[9]=(n*M-r*E-a*k)*C,t[10]=(d*w-m*b+v*y)*C,t[11]=(f*b-u*w-p*y)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(m*x-d*_-g*y)*C,t[15]=(u*_-f*x+h*y)*C,t}},{}],99:[function(t,e,r){var n=t(\"./identity\");e.exports=function(t,e,r,i){var a,o,s,l,c,u,f,h,p,d,m=e[0],g=e[1],v=e[2],y=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];if(Math.abs(m-_)<1e-6&&Math.abs(g-w)<1e-6&&Math.abs(v-T)<1e-6)return n(t);f=m-_,h=g-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=h*s-p*o,c=p*a-f*s,u=f*o-h*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*m+o*g+s*v),t[13]=-(l*m+c*g+u*v),t[14]=-(f*m+h*g+p*v),t[15]=1,t}},{\"./identity\":97}],100:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],m=e[12],g=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*m,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*m,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*m,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*m,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],101:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],102:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],103:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],m=e[8],g=e[9],v=e[10],y=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+m*_,t[1]=l*x+h*b+g*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+m*k,t[5]=l*w+h*T+g*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*A+f*M+m*S,t[9]=l*A+h*M+g*S,t[10]=c*A+p*M+v*S,t[11]=u*A+d*M+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],104:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],105:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],106:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],107:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],108:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,m=r[0],g=r[1],v=r[2];e===t?(t[12]=e[0]*m+e[4]*g+e[8]*v+e[12],t[13]=e[1]*m+e[5]*g+e[9]*v+e[13],t[14]=e[2]*m+e[6]*g+e[10]*v+e[14],t[15]=e[3]*m+e[7]*g+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*m+s*g+f*v+e[12],t[13]=i*m+l*g+h*v+e[13],t[14]=a*m+c*g+p*v+e[14],t[15]=o*m+u*g+d*v+e[15]);return t}},{}],109:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],110:[function(t,e,r){\"use strict\";var n=t(\"barycentric\"),i=t(\"polytope-closest-point/lib/closest_point_2d.js\");function a(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var i=0;i<4;++i)r[i]+=t[4*n+i]*e[n];return r}function o(t,e,r,n,i){for(var o=a(n,a(r,a(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var i=t[n],a=e[n],o=0;o<3;++o)r[o]+=a*i[o];return r}e.exports=function(t,e,r,a,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),f=0;f<t.length;++f)u[f]=o(t[f],r,a,l,c);var h=0,p=1/0;for(f=0;f<u.length;++f){for(var d=0,m=0;m<2;++m)d+=Math.pow(u[f][m]-e[m],2);d<p&&(p=d,h=f)}var g=function(t,e){if(2===t.length){for(var r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),a=Math.sqrt(a),r+a<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),v=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;v+=g[f]}if(Math.abs(v-1)>.001)return null;return[h,s(t,g),g]}},{barycentric:14,\"polytope-closest-point/lib/closest_point_2d.js\":270}],111:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:u,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},{glslify:231}],112:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"normals\"),l=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/invert\"),u=t(\"ndarray\"),f=t(\"colormap\"),h=t(\"simplicial-complex-contour\"),p=t(\"typedarray-pool\"),d=t(\"./lib/shaders\"),m=t(\"./lib/closest-point\"),g=d.meshShader,v=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=v,this.edgeIds=m,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function S(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function C(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function P(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var c=r[l],u=0;u<2;++u){var f=c[0];2===c.length&&(f=c[u]);for(var d=n[f][0],m=n[f][1],g=i[f],v=1-g,y=this.positions[d],x=this.positions[m],b=0;b<3;++b)o[s++]=g*y[b]+v*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],c=[],h=[],p=[],d=[],m=[],g=[],v=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,I=t.cellUVs,O=t.cellIntensity,z=1/0,D=-1/0;if(!C&&!I)if(P)if(t.vertexIntensityBounds)z=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];z=Math.min(z,F),D=Math.max(D,F)}else if(O)if(t.cellIntensityBounds)z=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<O.length;++R){F=O[R];z=Math.min(z,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];z=Math.min(z,F),D=Math.max(D,F)}this.intensity=P||(O||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n)),this.pickVertex=!(O||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,H=0,q=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;v.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?y.push(X[0],X[1],X[2],this.opacity):(y.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],x.push(Z[0],Z[1]),B?b.push(B[W]):b.push(N),_.push(R),q+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U){j=n[W=G[U]];p.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],m.push(Z[0],Z[1]),g.push(R)}H+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,X,Z,J;j=n[W=G[2-U]];i.push(j[0],j[1],j[2]),(X=S?S[W]:E?E[R]:L)?this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),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[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],c.push(Z[0],Z[1]),J=w?w[W]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(v),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(m),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var f,h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],f=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=m(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\");if(!r)throw new Error(\"derivatives not supported\");var n=M(t),s=S(t),l=E(t),c=L(t),f=C(t),h=P(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),m=i(t),g=i(t),v=i(t),y=i(t),x=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:v,type:t.FLOAT,size:3}]),b=i(t),_=i(t),w=i(t),k=i(t),A=a(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),I=i(t),O=i(t),z=i(t),D=i(t),R=i(t),F=a(t,[{buffer:I,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:O,type:t.FLOAT,size:4},{buffer:z,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=i(t),N=a(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,c,f,h,d,y,m,g,v,x,b,k,_,w,A,I,R,O,z,D,F,B,N);return j.update(e),j}},{\"./lib/closest-point\":110,\"./lib/shaders\":111,colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-shader\":132,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259,normals:261,\"simplicial-complex-contour\":291,\"typedarray-pool\":308}],113:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=i(e,a.boxVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,c=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"gl-buffer\":78,\"gl-shader\":132}],114:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,o.gridVert,o.gridFrag),l=i(e,o.tickVert,o.gridFrag);return new s(t,r,a,l)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"binary-search-bounds\"),o=t(\"./shaders\");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,f,h,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,m=0;m<2;++m){var g=a[m],v=a[m+2]-g,y=.5*(o[m+2]+o[m]),x=o[m+2]-o[m];u[m]=2*v/x,c[m]=2*(g-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(m=0;m<2;++m){f[0]=f[1]=0,f[m]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[m]/(s[m+2]-s[m])*d,r.uniforms.color=h[m];var _=6*n[m].length;p[m]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,m=s.viewBox,g=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],x=v[3]-v[1],b=m[2]-m[0],_=m[3]-m[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,I=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),O=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),z=0+6*I,D=6*Math.max(0,O-I),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(m[0]-E[1])/y-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[1]*g/y,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/y-1,i[1]=2*(m[1]-E[0])/x-1,o[0]=L[0]*g/y,o[1]=E[0]*g/x,D&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D)),i[0]=2*(m[2]+E[3])/y-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[3]*g/y,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/y-1,i[1]=2*(m[3]+E[2])/x-1,o[0]=L[2]*g/y,o[1]=E[2]*g/x,D&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],c=r[o],u=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-c)/(u-c);s.push(d);for(var m=0;m<6;++m)n[i++]=d,n[i++]=h[m],n[i++]=p[m]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":116,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132}],115:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=i(e,a.lineVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=i*o.pixelRatio,c.uniforms.color=a,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"gl-buffer\":78,\"gl-shader\":132}],116:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);e.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},{glslify:231}],117:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,s.textVert,s.textFrag);return new l(t,r,a)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"text-cache\"),o=t(\"binary-search-bounds\"),s=t(\"./shaders\");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,f,h,p,d,m=l.prototype;m.drawTicks=(c=[0,0],u=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,m=e.tickPad,g=e.tickColor,v=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];u[1^t]=M*s[1^t]-1,d[t]&&(u[1^t]-=M*p*m[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t],r.uniforms.angle=v[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t]&&T&&(u[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),u[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=M*p*m[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t+2],r.uniforms.angle=v[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t+2]&&T&&(u[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),m.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),m.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],f=a[o],m=a[o+2]-f,g=i[o],v=i[o+2]-g;p[o]=2*l/u*m/v,h[o]=2*(s-c)/u*m/v}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),m.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,m=p.text,g=p.font||\"sans-serif\";i=p.fontSize||12;for(var v=1/(c[o+2]-c[o]),y=c[o],x=m.split(\"\\n\"),b=0;b<x.length;b++)for(n=a(g,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-y)*v);u.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=u,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},m.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132,\"text-cache\":303}],118:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=i(c),c.text=a(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t(\"gl-select-static\"),i=t(\"./lib/grid\"),a=t(\"./lib/text\"),o=t(\"./lib/line\"),s=t(\"./lib/box\");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var m=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(m,e[1],m,e[3],p[d],h[d]):o.drawLine(e[0],m,e[2],m,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*v[1]*i,r[0],r[3]+.5*v[3]*i,v[1],y[1]),g[0]&&o.drawLine(r[0]-.5*v[0]*i,r[1],r[2]+.5*v[2]*i,r[1],v[0],y[0]),g[3]&&o.drawLine(r[2],r[1]-.5*v[1]*i,r[2],r[3]+.5*v[3]*i,v[3],y[3]),g[2]&&o.drawLine(r[0]-.5*v[0]*i,r[3],r[2]+.5*v[2]*i,r[3],v[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var f=c[u].pick(a,o,l);if(f)return f}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\"./lib/box\":113,\"./lib/grid\":114,\"./lib/line\":115,\"./lib/text\":117,\"gl-select-static\":131}],119:[function(t,e,r){\"use strict\";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];\"distanceLimits\"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);\"zoomMin\"in e&&(r[0]=e.zoomMin);\"zoomMax\"in e&&(r[1]=e.zoomMax);var c=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;c.idle(e-r),c.recalcMatrix(i),c.flush(e-(100+2*r));for(var a=!0,o=c.computedMatrix,s=0;s<16;++s)a=a&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),i=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var a=n();c._active.lookAt(a,r,i,e),c._active.lookAt(a+500,r,i,[0,0,1]),c._active.flush(a)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,h=!!a.control,p=!!a.alt,m=!!a.shift,g=!!(1&e),v=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!m||g&&!h&&!p&&m)&&c.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!m||v||g&&h&&!p&&!m)&&c.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),u&&g&&!h&&!p&&!m||y||g&&!h&&p&&!m)){var M=-d.zoomSpeed*_/window.innerHeight*(A-c.lastT())*100;c.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))c.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=t(\"right-now\"),i=t(\"3d-view\"),a=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"has-passive-events\")},{\"3d-view\":7,\"has-passive-events\":232,\"mouse-change\":247,\"mouse-event-offset\":248,\"mouse-wheel\":250,\"right-now\":278}],120:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);e.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":132,glslify:231}],121:[function(t,e,r){\"use strict\";var n=t(\"./camera.js\"),i=t(\"gl-axes3d\"),a=t(\"gl-axes3d/properties\"),o=t(\"gl-spikes3d\"),s=t(\"gl-select-static\"),l=t(\"gl-fbo\"),c=t(\"a-big-triangle\"),u=t(\"mouse-change\"),f=t(\"gl-mat4/perspective\"),h=t(\"gl-mat4/ortho\"),p=t(\"./lib/shader\"),d=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function m(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function v(t){return\"boolean\"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e){if(e=document.createElement(\"canvas\"),t.container)t.container.appendChild(e);else document.body.appendChild(e)}var r=t.gl;r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d}));if(!r)throw new Error(\"webgl not supported\");var y=t.bounds||[[-10,-10,-10],[10,10,10]],x=new m,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],I=!0,O=!0,z=new Array(16),D=new Array(16),R={view:null,projection:z,model:D,_ortho:!1},F=(O=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),B=t.cameraObject||n(e,T),N={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:B,axes:A,axesPixels:null,spikes:S,bounds:y,objects:E,shape:F,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:v(t.autoResize),autoBounds:v(t.autoBounds),autoScale:!!t.autoScale,autoCenter:v(t.autoCenter),clipToBounds:v(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:R,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,O=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},j=[r.drawingBufferWidth/N.pixelRatio|0,r.drawingBufferHeight/N.pixelRatio|0];function U(){if(!N._stopped&&N.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*N.pixelRatio),a=0|Math.ceil(n*N.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",I=!0}}}N.autoResize&&U();function V(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,F);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function H(){if(N.contextLost)return!0;r.isContextLost()&&(N.contextLost=!0,N.mouseListener.enabled=!1,N.selection.object=null,N.oncontextloss&&N.oncontextloss())}window.addEventListener(\"resize\",U),N.update=function(t){N._stopped||(t=t||{},I=!0,O=!0)},N.add=function(t){N._stopped||(t.axes=A,E.push(t),L.push(-1),I=!0,O=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),I=!0,O=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener(\"resize\",U),e.removeEventListener(\"webglcontextlost\",H),N.mouseListener.enabled=!1,!N.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();b.dispose();for(t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},N._mouseRotating=!1,N._prevButtons=0,N.enableMouseListeners=function(){N.mouseListener=u(e,(function(t,e,r){if(!N._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&N._prevButtons)N._mouseRotating=!0;else{N._mouseRotating&&(O=!0),N._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,j[1]-r-1,N.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<i;++c){var u=E[c];if(L[c]===s){var f=u.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),I=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),I=!0),(o=o||x.object!==a)&&N.onselect&&N.onselect(x),1&t&&!(1&N._prevButtons)&&N.onclick&&N.onclick(x),N._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",H);var q=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],G=[q[0].slice(),q[1].slice()];function Y(){if(!H()){U();var t=N.camera.tick();R.view=N.camera.matrix,I=I||t,O=O||t,A.pixelRatio=N.pixelRatio,S.pixelRatio=N.pixelRatio;var e=E.length,n=q[0],i=q[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=N.pixelRatio,C.axes=N.axes,I=I||!!C.dirty,O=O||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],u[p])}var d=N.bounds;if(N.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var m=.05*(i[p]-n[p]);n[p]=n[p]-m,i[p]=i[p]+m}d[0][p]=n[p],d[1][p]=i[p]}var v=!1;for(p=0;p<3;++p)v=v||G[0][p]!==d[0][p]||G[1][p]!==d[1][p],G[0][p]=d[0][p],G[1][p]=d[1][p];if(O=O||v,I=I||v){if(v){var y=[0,0,0];for(o=0;o<3;++o)y[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:y}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;F[0]=T,F[1]=k,j[0]=0|Math.max(T/N.pixelRatio,1),j[1]=0|Math.max(k/N.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,c),n._ortho=!0):(f(i,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var m=0;for(d=0;d<3;++d)m=Math.max(m,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/m,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(N,w);for(o=0;o<e;++o){(C=E[o]).axesBounds=d,N.clipToBounds&&(C.clipBounds=d)}x.object&&(N.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),O&&(O=!1,function(){if(!H()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=j,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(R))}i.end()}}}()),N.axesPixels=a(N.axes,R,T,k),N.onrender&&N.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),N.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;A.enable&&(M=M||A.isTransparent(),A.draw(R)),S.axes=A,x.object&&S.draw(R),r.disable(r.CULL_FACE);for(o=0;o<e;++o){(C=E[o]).axes=A,C.pixelRatio=N.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(R),C.isTransparent&&C.isTransparent()&&(M=!0)}if(M){b.shape=F,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(R)}r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(R)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,c(r),r.disable(r.BLEND)}I=!1;for(o=0;o<e;++o)E[o].dirty=!1}}}return N.enableMouseListeners(),function t(){if(N._stopped||N.contextLost)return;Y(),requestAnimationFrame(t)}(),N.redraw=function(){N._stopped||(I=!0,Y())},N},createCamera:n}},{\"./camera.js\":119,\"./lib/shader\":120,\"a-big-triangle\":8,\"gl-axes3d\":70,\"gl-axes3d/properties\":77,\"gl-fbo\":86,\"gl-mat4/ortho\":101,\"gl-mat4/perspective\":102,\"gl-select-static\":131,\"gl-spikes3d\":141,\"is-mobile\":238,\"mouse-change\":247}],122:[function(t,e,r){var n=t(\"glslify\");r.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),r.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),r.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),r.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},{glslify:231}],123:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"typedarray-pool\"),o=t(\"./lib/shader\");function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,a=i(r),l=i(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),f=new s(t,a,l,c,u);return f.update(e),t.addObject(f),f};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),c=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),i||a.free(l),o||a.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{\"./lib/shader\":122,\"gl-buffer\":78,\"gl-shader\":132,\"typedarray-pool\":308}],124:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],f=e[2],h=e[3],p=r[0],d=r[1],m=r[2],g=r[3];(a=c*p+u*d+f*m+h*g)<0&&(a=-a,p=-p,d=-d,m=-m,g=-g);1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*f+l*m,t[3]=s*h+l*g,t}},{}],125:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],126:[function(t,e,r){\"use strict\";var n=t(\"vectorize-text\");e.exports=function(t,e,r){var a=i[e];a||(a=i[e]={});if(t in a)return a[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=u.positions.length;for(l=0;l<h;++l){var p=u.positions[l];for(c=0;c<2;++c)f[0][c]=Math.min(f[0][c],p[c]),f[1][c]=Math.max(f[1][c],p[c])}return a[t]=[s,u,f]};var i={}},{\"vectorize-text\":311}],127:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:u},h={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:a,fragment:c,attributes:u},m={vertex:o,fragment:c,attributes:u},g={vertex:s,fragment:c,attributes:u};function v(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}r.createPerspective=function(t){return v(t,f)},r.createOrtho=function(t){return v(t,h)},r.createProject=function(t){return v(t,p)},r.createPickPerspective=function(t){return v(t,d)},r.createPickOrtho=function(t){return v(t,m)},r.createPickProject=function(t){return v(t,g)}},{\"gl-shader\":132,glslify:231}],128:[function(t,e,r){\"use strict\";var n=t(\"is-string-blank\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"typedarray-pool\"),s=t(\"gl-mat4/multiply\"),l=t(\"./lib/shaders\"),c=t(\"./lib/glyphs\"),u=t(\"./lib/get-simple-string\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function m(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,c,u,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),m=a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new g(e,r,n,o,f,h,p,d,m,s,c,u);return v.update(t),v};var v=g.prototype;v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},v.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function L(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||f,u=r.view||f,h=r.projection||f,d=e.axesBounds,m=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=h,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=m,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var v=T,L=0;L<16;++L)v[L]=0;for(L=0;L<4;++L)v[5*L]=1;v[5*g]=0,i[g]<0?v[12+g]=d[0][g]:v[12+g]=d[1][g],s(v,c,v),l.model=v;var C=(g+1)%3,P=(g+2)%3,I=M(x),O=M(b);I[C]=1,O[P]=1;var z=p(0,0,0,S(_,I)),D=p(0,0,0,S(w,O));if(Math.abs(z[1])>Math.abs(D[1])){var R=z;z=D,D=R,R=I,I=O,O=R;var F=C;C=P,P=F}z[0]<0&&(I[C]=-1),D[1]>0&&(O[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(c[4*C+L],2),N+=Math.pow(c[4*P+L],2);I[C]/=Math.sqrt(B),O[P]/=Math.sqrt(N),l.axes[0]=I,l.axes[1]=O,l.fragClipBounds[0]=E(k,m[0],g,-1e8),l.fragClipBounds[1]=E(k,m[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var C=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,i,a,o){var s=r.gl;if((a===r.projectHasAlpha||o)&&L(e,r,n,i),a===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||f,l.view=n.view||f,l.projection=n.projection||f,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=C,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=i,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*i),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function I(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=u(a);var o=!0;n(a)&&(a=\"\\u25bc\",o=!1);var s=c(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}v.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},v.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},v.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},v.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},v.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},v.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=m(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=m(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||\"normal\",c=t.alignment||[0,0];if(2===c.length)i=c[0],a=c[1];else{i=[],a=[];for(n=0;n<c.length;++n)i[n]=c[n][0],a[n]=c[n][1]}var u=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,d=t.size,g=t.angle,v=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;x+=3*k.cells.length,b+=2*A.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var O=0,z=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(v)&&Array.isArray(v[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T])}k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)D[T]=U[T];D[3]=1}else if(4===U.length){for(T=0;T<4;++T)D[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(j)if(Array.isArray(v)){var U;if(3===(U=B?n<v.length?v[n]:[0,0,0,0]:v).length){for(T=0;T<3;++T)R[T]=U[T];R[T]=1}else if(4===U.length){for(T=0;T<4;++T)R[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var H=0;Array.isArray(g)?H=n<g.length?+g[n]:0:g&&(H=+g);var q=Math.cos(H),G=Math.sin(H);for(w=s[n],T=0;T<3;++T)f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T]);var Y=i,W=a;Y=0;Array.isArray(i)?Y=n<i.length?i[n]:0:i&&(Y=i);W=0;Array.isArray(a)?W=n<a.length?a[n]:0:a&&(W=a);var X=[Y*=Y>0?1-M[0][0]:Y<0?1+M[1][0]:1,W*=W>0?1-M[0][1]:W<0?1+M[1][1]:1],Z=k.cells||[],J=k.positions||[];for(T=0;T<Z.length;++T)for(var K=Z[T],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*O+$]=w[$];for($=0;$<4;++$)L[4*O+$]=D[$];P[O]=y;var tt=J[K[Q]];C[2*O]=V*(q*tt[0]-G*tt[1]+X[0]),C[2*O+1]=V*(G*tt[0]+q*tt[1]+X[1]),O+=1}for(Z=A.edges,J=A.positions,T=0;T<Z.length;++T)for(K=Z[T],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)L[4*z+$]=R[$];P[z]=y;tt=J[K[Q]];C[2*z]=V*(q*tt[0]-G*tt[1]+X[0]),C[2*z+1]=V*(G*tt[0]+q*tt[1]+X[1]),z+=1}}}this.bounds=[u,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(P),o.free(E),o.free(L),o.free(C),o.free(P)},v.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{\"./lib/get-simple-string\":125,\"./lib/glyphs\":126,\"./lib/shaders\":127,\"gl-buffer\":78,\"gl-mat4/multiply\":100,\"gl-vao\":150,\"is-string-blank\":239,\"typedarray-pool\":308}],129:[function(t,e,r){\"use strict\";var n=t(\"glslify\");r.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),r.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])},{glslify:231}],130:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"./lib/shaders\");function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(t,e){var r=t.gl,s=i(r,[0,0,0,1,1,0,1,1]),l=n(r,a.boxVertex,a.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,f=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],h=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(f=Math.max(f,c[0]),h=Math.max(h,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<f||d<h)){o.bind();var m=s[2]-s[0],g=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,m,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,m,g,i),o.drawBox(p,h,m,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var v=r*u;o.drawBox(f-v,h-v,p+v,h+v,a),o.drawBox(f-v,d-v,p+v,d+v,a),o.drawBox(f-v,h-v,f+v,d+v,a),o.drawBox(p-v,h-v,p+v,d+v,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\"./lib/shaders\":129,\"gl-buffer\":78,\"gl-shader\":132}],131:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=e[0],a=e[1],o=n(t,r,a,{}),s=i.mallocUint8(r*a*4);return new l(t,o,s)};var n=t(\"gl-fbo\"),i=t(\"typedarray-pool\"),a=t(\"ndarray\"),o=t(\"bit-twiddle\").nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var c=l.prototype;Object.defineProperty(c,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){i.free(this.buffer);for(var n=this.buffer=i.mallocUint8(o(r*e*4)),a=0;a<r*e*4;++a)n[a]=255}return t}}}),c.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},c.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},c.query=function(t,e,r){if(!this.gl)return null;var n=this.fbo.shape.slice();t|=0,e|=0,\"number\"!=typeof r&&(r=1);var i=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),l=0|Math.min(Math.max(e-r,0),n[1]),c=0|Math.min(Math.max(e+r,0),n[1]);if(o<=i||c<=l)return null;var u=[o-i,c-l],f=a(this.buffer,[u[0],u[1],4],[4,4*n[0],1],4*(i+n[0]*l)),h=function(t,e,r){for(var n=1e8,i=-1,a=-1,o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++){var u=t.get(l,c,0),f=t.get(l,c,1),h=t.get(l,c,2),p=t.get(l,c,3);if(u<255||f<255||h<255||p<255){var d=e-l,m=r-c,g=d*d+m*m;g<n&&(n=g,i=l,a=c)}}return[i,a,n]}(f.hi(u[0],u[1],1),r,r),p=h[0],d=h[1];return p<0||Math.pow(this.radius,2)<h[2]?null:new s(p+i|0,d+l|0,f.get(p,d,0),[f.get(p,d,1),f.get(p,d,2),f.get(p,d,3)],Math.sqrt(h[2]))},c.dispose=function(){this.gl&&(this.fbo.dispose(),i.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{\"bit-twiddle\":32,\"gl-fbo\":86,ndarray:259,\"typedarray-pool\":308}],132:[function(t,e,r){\"use strict\";var n=t(\"./lib/create-uniforms\"),i=t(\"./lib/create-attributes\"),a=t(\"./lib/reflect\"),o=t(\"./lib/shader-cache\"),s=t(\"./lib/runtime-reflect\"),l=t(\"./lib/GLError\");function c(t){this.gl=t,this.gl.lastAttribCount=0,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}var u=c.prototype;function f(t,e){return t.name<e.name?-1:1}u.bind=function(){var t;this.program||this._relink();var e=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),r=this.gl.lastAttribCount;if(e>r)for(t=r;t<e;t++)this.gl.enableVertexAttribArray(t);else if(r>e)for(t=e;t<r;t++)this.gl.disableVertexAttribArray(t);this.gl.lastAttribCount=e,this.gl.useProgram(this.program)},u.dispose=function(){for(var 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w=c[y];if(w.type.indexOf(\"mat\")>=0){for(var T=0|w.type.charAt(w.type.length-1),k=new Array(T),A=0;A<T;++A)k[A]=_.length,b.push(w.name+\"[\"+A+\"]\"),\"number\"==typeof w.location?_.push(w.location+A):Array.isArray(w.location)&&w.location.length===T&&\"number\"==typeof w.location[A]?_.push(0|w.location[A]):_.push(-1);x.push({name:w.name,type:w.type,locations:k})}else x.push({name:w.name,type:w.type,locations:[_.length]}),b.push(w.name),\"number\"==typeof w.location?_.push(0|w.location):_.push(-1)}var M=0;for(y=0;y<_.length;++y)if(_[y]<0){for(;_.indexOf(M)>=0;)M+=1;_[y]=M}var S=new Array(r.length);function E(){h.program=o.program(p,h._vref,h._fref,b,_);for(var t=0;t<r.length;++t)S[t]=p.getUniformLocation(h.program,r[t].name)}E(),h._relink=E,h.types={uniforms:a(r),attributes:a(c)},h.attributes=i(p,h,x,_),Object.defineProperty(h,\"uniforms\",n(p,h,r,S))},e.exports=function(t,e,r,n,i){var a=new c(t);return 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h=c,p=u,d=0;d<3;++d)i&&i[d]<0?(h[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(h[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);f[0]=e.drawingBufferWidth,f[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,h,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=f;for(d=0;d<3;++d)n.uniforms.lineWidth=this.lineWidth[d]*this.pixelRatio,this.enabled[d]&&(r.draw(e.TRIANGLES,6,6*d),this.drawSides[d]&&r.draw(e.TRIANGLES,12,18+12*d));r.unbind()},l.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders/index\":140,\"gl-buffer\":78,\"gl-vao\":150}],142:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},{glslify:231}],143:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\"),i=t(\"gl-vec4\"),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],f=[],h=[],p=[],d=[],m=0,g=0,v=i.create(),y=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,v=i.create(),n.copy(v,_),v[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(y,v,v,v,y,y),d.push(m,g,g,g,m,m);var A=c.length;u.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=y;y=v,v=S;var E=m;m=g,g=E}return{positions:c,cells:u,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<u.length;s++){var m=u[s],g=f.length;f=f.concat(m.positions),p=p.concat(m.vectors),d=d.concat(m.vertexIntensity);for(c=0;c<m.cells.length;c++){var v=m.cells[c],y=[];h.push(y);for(var x=0;x<v.length;x++)y.push(v[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},l=function(t,e,r){return t<e?e:t>r?r:t},c=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};e.exports=function(t,e){var r=t.startingPositions,i=t.maxLength||1e3,u=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||\"+x+y+z\",p={};-1!==h.indexOf(\"-x\")&&(p.reversedX=!0),-1!==h.indexOf(\"-y\")&&(p.reversedY=!0),-1!==h.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,o=t[0],c=t[1],u=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=s(a[0],o),m=s(a[1],c),g=s(a[2],u),v=d+1,y=m+1,x=g+1;if(d=l(d,0,f-1),v=l(v,0,f-1),m=l(m,0,h-1),y=l(y,0,h-1),g=l(g,0,p-1),x=l(x,0,p-1),d<0||m<0||g<0||v>f-1||y>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][v],E=a[1][m],L=a[1][y],C=a[2][g],P=(o-M)/(S-M),I=(c-E)/(L-E),O=(u-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(I)||(I=.5),isFinite(O)||(O=.5),r.reversedX&&(d=f-1-d,v=f-1-v),r.reversedY&&(m=h-1-m,y=h-1-y),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=m*p,T=y*p,b=d*p*h,_=v*p*h;break;case 4:k=g,A=x,b=d*p,_=v*p,w=m*p*f,T=y*p*f;break;case 3:w=m,T=y,k=g*h,A=x*h,b=d*h*p,_=v*h*p;break;case 2:w=m,T=y,b=d*h,_=v*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=v,k=g*f,A=x*f,w=m*f*p,T=y*f*p;break;default:b=d,_=v,w=m*f,T=y*f,k=g*f*h,A=x*f*h}var z=i[b+w+k],D=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,z,B,P),n.lerp(H,D,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,q,I),n.lerp(W,H,G,I);var X=n.create();return n.lerp(X,Y,W,O),X}(e,t,p)},m=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],v=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<v||e>b||r<y||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/i,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,l=0;l<s;l++){var u=t[l],f=u[0],h=u[1],p=u[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),m=c(r),g=c(n),v=Math.min(d,m,g);return isFinite(v)?v:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],I=[],O=d(C),z=C;I.push(O);var D=[],R=m(C,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),g.push({points:P,velocities:I,divergences:D});for(var B=0;B<100*i&&P.length<i&&T(C);){B++;var N=n.clone(O),j=n.squaredLength(N);if(0===j)break;if(j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),O=d(N),n.squaredDistance(z,N)-A>-1e-4*A){P.push(N),z=N,I.push(O);R=m(N,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}C=N}}var U=o(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*u*M/S),U};var u=t(\"./lib/shaders\"),f=t(\"gl-cone3d\").createMesh;e.exports.createTubeMesh=function(t,e){return f(t,e,{shaders:u,traceType:\"streamtube\"})}},{\"./lib/shaders\":142,\"gl-cone3d\":79,\"gl-vec3\":169,\"gl-vec4\":205}],144:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color \\u2014 in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);r.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":132,glslify:231}],145:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=i(e),u=a(e,[{buffer:c,size:4,stride:40,offset:0},{buffer:c,size:3,stride:40,offset:16},{buffer:c,size:3,stride:40,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),m=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);m.minFilter=e.LINEAR,m.magFilter=e.LINEAR;var g=new M(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,m,s,l,f,h,p,d,[0,0,0]),v={levels:[[],[],[]]};for(var w in t)v[w]=t[w];return v.colormap=v.colormap||\"jet\",g.update(v),g};var n=t(\"bit-twiddle\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"typedarray-pool\"),l=t(\"colormap\"),c=t(\"ndarray-ops\"),u=t(\"ndarray-pack\"),f=t(\"ndarray\"),h=t(\"surface-nets\"),p=t(\"gl-mat4/multiply\"),d=t(\"gl-mat4/invert\"),m=t(\"binary-search-bounds\"),g=t(\"ndarray-gradient\"),v=t(\"./lib/shaders\"),y=v.createShader,x=v.createContourShader,b=v.createPickShader,_=v.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function A(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();function M(t,e,r,n,i,a,o,l,c,u,h,p,d,m,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new A([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=m,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var S=M.prototype;S.genColormap=function(t,e){var r=!1,n=u([l({colormap:t,nshades:256,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return c.divseq(n,255),this.hasAlphaScale=r,n},S.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},S.isOpaque=function(){return!this.isTransparent()},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],L={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function C(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||E,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=L.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var c=L.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return L.showSurface=o,L.showContour=s,L}var P={model:w,view:w,projection:w,inverseModel:w.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},I=w.slice(),O=[1,0,0,0,1,0,0,0,1];function z(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=O,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var c=s[12+i];for(o=0;o<3;++o)c+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=c/l}var u=C(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[i],this._shader.uniforms.clipBounds=u.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=k[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=u.projections[i],f.uniforms.clipBounds=u.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var m=0;m<this.contourLevels[o].length;++m)m===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==m&&m-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][m]&&(f.uniforms.height=this.contourLevels[o][m],h.draw(r.LINES,this._contourCounts[o][m],this._contourOffsets[o][m]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=k[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=u.projections[o],f.uniforms.clipBounds=u.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}S.draw=function(t){return z.call(this,t,!1)},S.drawTransparent=function(t){return z.call(this,t,!0)};var D={model:w,view:w,projection:w,inverseModel:w,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function R(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function F(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[F(t[0]),F(t[1]),F(t[2])];var e=F(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=D;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=O;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=C(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=k[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=k[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(s.uniforms.height=this.contourLevels[a][c],l.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}l.unbind()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var f=u?a:1-a,h=0;h<2;++h)for(var p=i+u,d=s+h,g=f*(h?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(p,d)*g;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=m.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=R(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=R(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=R(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=B(t.contourColor)),\"contourProject\"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=B(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=R(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var c=l[o];for(v=0;v<2;++v)if(c.shape[v]!==a[v])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],c)}}else if(t.ticks){var u=t.ticks;if(!Array.isArray(u)||2!==u.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=u[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var m=[0,0];m[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],m,0)}this._field[0].set(0,0,0);for(var v=0;v<a[0];++v)this._field[0].set(v+1,0,v);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),v=0;v<a[1];++v)this._field[1].set(0,v+1,v);this._field[1].set(0,a[1]+1,a[1]-1)}var y=this._field,x=f(s.mallocFloat(3*y[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),y[o],\"mirror\");var b=f(s.mallocFloat(3*y[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(v=0;v<a[1]+2;++v){var _=x.get(0,o,v,0),w=x.get(0,o,v,1),k=x.get(1,o,v,0),A=x.get(1,o,v,1),M=x.get(2,o,v,0),S=x.get(2,o,v,1),E=k*S-A*M,L=M*w-S*_,C=_*A-w*k,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,v,0,E*P),b.set(o,v,1,L*P),b.set(o,v,2,C*P)}s.free(x.data);var I=[1/0,1/0,1/0],O=[-1/0,-1/0,-1/0],z=1/0,D=-1/0,F=(a[0]-1)*(a[1]-1)*6,N=s.mallocFloat(n.nextPow2(10*F)),j=0,U=0;for(o=0;o<a[0]-1;++o)t:for(v=0;v<a[1]-1;++v){for(var V=0;V<2;++V)for(var H=0;H<2;++H)for(var q=0;q<3;++q){var G=this._field[q].get(1+o+V,1+v+H);if(isNaN(G)||!isFinite(G))continue t}for(q=0;q<6;++q){var Y=o+T[q][0],W=v+T[q][1],X=this._field[0].get(Y+1,W+1),Z=this._field[1].get(Y+1,W+1);G=this._field[2].get(Y+1,W+1),E=b.get(Y+1,W+1,0),L=b.get(Y+1,W+1,1),C=b.get(Y+1,W+1,2),t.intensity&&(J=t.intensity.get(Y,W));var J=t.intensity?t.intensity.get(Y,W):G+this.objectOffset[2];N[j++]=Y,N[j++]=W,N[j++]=X,N[j++]=Z,N[j++]=G,N[j++]=0,N[j++]=J,N[j++]=E,N[j++]=L,N[j++]=C,I[0]=Math.min(I[0],X+this.objectOffset[0]),I[1]=Math.min(I[1],Z+this.objectOffset[1]),I[2]=Math.min(I[2],G+this.objectOffset[2]),z=Math.min(z,J),O[0]=Math.max(O[0],X+this.objectOffset[0]),O[1]=Math.max(O[1],Z+this.objectOffset[1]),O[2]=Math.max(O[2],G+this.objectOffset[2]),D=Math.max(D,J),U+=1}}for(t.intensityBounds&&(z=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<j;o+=10)N[o]=(N[o]-z)/(D-z);this._vertexCount=U,this._coordinateBuffer.update(N.subarray(0,j)),s.freeFloat(N),s.free(b.data),this.bounds=[I,O],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===z&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[z,D]}if(\"levels\"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(v=0;v<K[o].length;++v)K[o][v]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(v=0;v<K[o].length;++v)if(K[o][v]!==this.contourLevels[o][v]){r=!0;break t}}this.contourLevels=K}if(r){y=this._field,a=this.shape;for(var Q=[],$=0;$<3;++$){var tt=this.contourLevels[$],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[$],tt[o]);et.push(Q.length/5|0),U=0;t:for(v=0;v<it.cells.length;++v){var at=it.cells[v];for(q=0;q<2;++q){var ot=it.positions[at[q]],st=ot[0],lt=0|Math.floor(st),ct=st-lt,ut=ot[1],ft=0|Math.floor(ut),ht=ut-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var mt=($+dt+1)%3;for(V=0;V<2;++V){var gt=V?ct:1-ct;for(Y=0|Math.min(Math.max(lt+V,0),a[0]),H=0;H<2;++H){var vt=H?ht:1-ht;if(W=0|Math.min(Math.max(ft+H,0),a[1]),G=dt<2?this._field[mt].get(Y,W):(this.intensity.get(Y,W)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var yt=gt*vt;nt[dt]+=yt*G}}}if(pt){if(q>0){for(var xt=0;xt<5;++xt)Q.pop();U-=1}continue t}Q.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[$]=et,this._contourCounts[$]=rt}var bt=s.mallocFloat(Q.length);for(o=0;o<Q.length;++o)bt[o]=Q[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],f=this._field[l],p=this._field[c],d=h(u,r[o]),m=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<m.length;++e)for(var v=m[e],y=0;y<2;++y){var x=g[v[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,P=k*E,I=T*L,O=T*E,z=C*f.get(_,M)+P*f.get(_,S)+I*f.get(w,M)+O*f.get(w,S),D=C*p.get(_,M)+P*p.get(_,S)+I*p.get(w,M)+O*p.get(w,S);if(isNaN(z)||isNaN(D)){y&&(n-=1);break}a[2*n+0]=z,a[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},{\"./lib/shaders\":144,\"binary-search-bounds\":31,\"bit-twiddle\":32,colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259,\"ndarray-gradient\":252,\"ndarray-ops\":254,\"ndarray-pack\":255,\"surface-nets\":302,\"typedarray-pool\":308}],146:[function(t,e,r){\"use strict\";var n=t(\"ndarray\"),i=t(\"ndarray-ops\"),a=t(\"typedarray-pool\");e.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");o||c(t);if(\"number\"==typeof arguments[1])return v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return y(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return x(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var f=function(t,e){i.muls(t,e,255)};function h(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function p(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var d=p.prototype;function m(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function g(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function v(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new p(t,o,e,r,n,i)}function y(t,e,r,n,i,a){var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new p(t,o,r,n,i,a)}function x(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=m(o,e.stride.slice()),c=0;\"float32\"===r?c=t.FLOAT:\"float64\"===r?(c=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var u,h,d=0;if(2===o.length)d=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])d=t.ALPHA;else if(2===o[2])d=t.LUMINANCE_ALPHA;else if(3===o[2])d=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");d=t.RGBA}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var v=e.size;if(l)u=0===e.offset&&e.data.length===v?e.data:e.data.subarray(e.offset,e.offset+v);else{var y=[o[2],o[2]*o[0],1];h=a.malloc(v,r);var x=n(h,o,y,0);\"float32\"!==r&&\"float64\"!==r||c!==t.UNSIGNED_BYTE?i.assign(x,e):f(x,e),u=h.subarray(0,v)}var b=g(t);return t.texImage2D(t.TEXTURE_2D,0,d,o[0],o[1],0,d,c,u),l||a.free(h),new p(t,b,o[0],o[1],d,c)}Object.defineProperties(d,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var 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-       "/*!\n",
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-       " * @license  MIT\n",
-       " */\n",
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l=0;l<3;++l){for(var c=0,f=0;f<3;++f)c+=r[l+4*f]*i[f];r[12+l]=-c}},h.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r},h.idle=function(t){this.center.idle(t),this.radius.idle(t),this.rotation.idle(t)},h.flush=function(t){this.center.flush(t),this.radius.flush(t),this.rotation.flush(t)},h.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var i=this.computedMatrix,a=i[1],o=i[5],s=i[9],c=l(a,o,s);a/=c,o/=c,s/=c;var u=i[0],f=i[4],h=i[8],p=u*a+f*o+h*s,d=l(u-=a*p,f-=o*p,h-=s*p);u/=d,f/=d,h/=d;var m=i[2],g=i[6],v=i[10],y=m*a+g*o+v*s,x=m*u+g*f+v*h,b=l(m-=y*a+x*u,g-=y*o+x*f,v-=y*s+x*h);m/=b,g/=b,v/=b;var _=u*e+a*r,w=f*e+o*r,T=h*e+s*r;this.center.move(t,_,w,T);var k=Math.exp(this.computedRadius[0]);k=Math.max(1e-4,k+n),this.radius.set(t,Math.log(k))},h.rotate=function(t,e,r,n){this.recalcMatrix(t),e=e||0,r=r||0;var i=this.computedMatrix,a=i[0],o=i[4],s=i[8],u=i[1],f=i[5],h=i[9],p=i[2],d=i[6],m=i[10],g=e*a+r*u,v=e*o+r*f,y=e*s+r*h,x=-(d*y-m*v),b=-(m*g-p*y),_=-(p*v-d*g),w=Math.sqrt(Math.max(0,1-Math.pow(x,2)-Math.pow(b,2)-Math.pow(_,2))),T=c(x,b,_,w);T>1e-6?(x/=T,b/=T,_/=T,w/=T):(x=b=_=0,w=1);var k=this.computedRotation,A=k[0],M=k[1],S=k[2],E=k[3],L=A*w+E*x+M*_-S*b,C=M*w+E*b+S*x-A*_,P=S*w+E*_+A*b-M*x,I=E*w-A*x-M*b-S*_;if(n){x=p,b=d,_=m;var O=Math.sin(n)/l(x,b,_);x*=O,b*=O,_*=O,I=I*(w=Math.cos(e))-(L=L*w+I*x+C*_-P*b)*x-(C=C*w+I*b+P*x-L*_)*b-(P=P*w+I*_+L*b-C*x)*_}var z=c(L,C,P,I);z>1e-6?(L/=z,C/=z,P/=z,I/=z):(L=C=P=0,I=1),this.rotation.set(t,L,C,P,I)},h.lookAt=function(t,e,r,n){this.recalcMatrix(t),r=r||this.computedCenter,e=e||this.computedEye,n=n||this.computedUp;var a=this.computedMatrix;i(a,e,r,n);var o=this.computedRotation;s(o,a[0],a[1],a[2],a[4],a[5],a[6],a[8],a[9],a[10]),u(o,o),this.rotation.set(t,o[0],o[1],o[2],o[3]);for(var l=0,c=0;c<3;++c)l+=Math.pow(r[c]-e[c],2);this.radius.set(t,.5*Math.log(Math.max(l,1e-6))),this.center.set(t,r[0],r[1],r[2])},h.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},h.setMatrix=function(t,e){var r=this.computedRotation;s(r,e[0],e[1],e[2],e[4],e[5],e[6],e[8],e[9],e[10]),u(r,r),this.rotation.set(t,r[0],r[1],r[2],r[3]);var n=this.computedMatrix;o(n,e);var i=n[15];if(Math.abs(i)>1e-6){var a=n[12]/i,l=n[13]/i,c=n[14]/i;this.recalcMatrix(t);var f=Math.exp(this.computedRadius[0]);this.center.set(t,a-n[2]*f,l-n[6]*f,c-n[10]*f),this.radius.idle(t)}else this.center.idle(t),this.radius.idle(t)},h.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},h.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},h.getDistanceLimits=function(t){var e=this.radius.bounds;return 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-       "/*!\n",
-       " * pad-left <https://github.com/jonschlinkert/pad-left>\n",
-       " *\n",
-       " * Copyright (c) 2014-2015, Jon Schlinkert.\n",
-       " * Licensed under the MIT license.\n",
-       " */\n",
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e=this.computedUp,r=this.computedRight,n=0,i=0,a=0;a<3;++a)i+=e[a]*r[a],n+=e[a]*e[a];var l=Math.sqrt(n),u=0;for(a=0;a<3;++a)r[a]-=e[a]*i/n,u+=r[a]*r[a],e[a]/=l;var f=Math.sqrt(u);for(a=0;a<3;++a)r[a]/=f;var h=this.computedToward;o(h,e,r),s(h,h);var p=Math.exp(this.computedRadius[0]),d=this.computedAngle[0],m=this.computedAngle[1],g=Math.cos(d),v=Math.sin(d),y=Math.cos(m),x=Math.sin(m),b=this.computedCenter,_=g*y,w=v*y,T=x,k=-g*x,A=-v*x,M=y,S=this.computedEye,E=this.computedMatrix;for(a=0;a<3;++a){var L=_*r[a]+w*h[a]+T*e[a];E[4*a+1]=k*r[a]+A*h[a]+M*e[a],E[4*a+2]=L,E[4*a+3]=0}var C=E[1],P=E[5],I=E[9],O=E[2],z=E[6],D=E[10],R=P*D-I*z,F=I*O-C*D,B=C*z-P*O,N=c(R,F,B);R/=N,F/=N,B/=N,E[0]=R,E[4]=F,E[8]=B;for(a=0;a<3;++a)S[a]=b[a]+E[2+4*a]*p;for(a=0;a<3;++a){u=0;for(var j=0;j<3;++j)u+=E[a+4*j]*S[j];E[12+a]=-u}E[15]=1},p.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r};var d=[0,0,0];p.rotate=function(t,e,r,n){if(this.angle.move(t,e,r),n){this.recalcMatrix(t);var i=this.computedMatrix;d[0]=i[2],d[1]=i[6],d[2]=i[10];for(var o=this.computedUp,s=this.computedRight,l=this.computedToward,c=0;c<3;++c)i[4*c]=o[c],i[4*c+1]=s[c],i[4*c+2]=l[c];a(i,i,n,d);for(c=0;c<3;++c)o[c]=i[4*c],s[c]=i[4*c+1];this.up.set(t,o[0],o[1],o[2]),this.right.set(t,s[0],s[1],s[2])}},p.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var i=this.computedMatrix,a=(Math.exp(this.computedRadius[0]),i[1]),o=i[5],s=i[9],l=c(a,o,s);a/=l,o/=l,s/=l;var u=i[0],f=i[4],h=i[8],p=u*a+f*o+h*s,d=c(u-=a*p,f-=o*p,h-=s*p),m=(u/=d)*e+a*r,g=(f/=d)*e+o*r,v=(h/=d)*e+s*r;this.center.move(t,m,g,v);var y=Math.exp(this.computedRadius[0]);y=Math.max(1e-4,y+n),this.radius.set(t,Math.log(y))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,n){var a=1;\"number\"==typeof r&&(a=0|r),(a<0||a>3)&&(a=1);var o=(a+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[a],l=e[a+4],f=e[a+8];if(n){var h=Math.abs(s),p=Math.abs(l),d=Math.abs(f),m=Math.max(h,p,d);h===m?(s=s<0?-1:1,l=f=0):d===m?(f=f<0?-1:1,s=l=0):(l=l<0?-1:1,s=f=0)}else{var g=c(s,l,f);s/=g,l/=g,f/=g}var v,y,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*f,T=c(x-=s*w,b-=l*w,_-=f*w),k=l*(_/=T)-f*(b/=T),A=f*(x/=T)-s*_,M=s*b-l*x,S=c(k,A,M);if(k/=S,A/=S,M/=S,this.center.jump(t,q,G,Y),this.radius.idle(t),this.up.jump(t,s,l,f),this.right.jump(t,x,b,_),2===a){var E=e[1],L=e[5],C=e[9],P=E*x+L*b+C*_,I=E*k+L*A+C*M;v=R<0?-Math.PI/2:Math.PI/2,y=Math.atan2(I,P)}else{var O=e[2],z=e[6],D=e[10],R=O*s+z*l+D*f,F=O*x+z*b+D*_,B=O*k+z*A+D*M;v=Math.asin(u(R)),y=Math.atan2(B,F)}this.angle.jump(t,y,v),this.recalcMatrix(t);var N=e[2],j=e[6],U=e[10],V=this.computedMatrix;i(V,e);var H=V[15],q=V[12]/H,G=V[13]/H,Y=V[14]/H,W=Math.exp(this.computedRadius[0]);this.center.jump(t,q-N*W,G-j*W,Y-U*W)},p.lastT=function(){return 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n=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 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a._fullLayout[n]=r[n],i.coercePosition(e,a,l,t,t,.5)}l(\"visible\")&&(o(t,e,a.fullLayout,l),u(\"x\"),u(\"y\"),u(\"z\"),n.noneOrAll(t,e,[\"x\",\"y\",\"z\"]),e.xref=\"x\",e.yref=\"y\",e.zref=\"z\",l(\"xanchor\"),l(\"yanchor\"),l(\"xshift\"),l(\"yshift\"),e.showarrow&&(e.axref=\"pixel\",e.ayref=\"pixel\",l(\"ax\",-10),l(\"ay\",-30),n.noneOrAll(t,e,[\"ax\",\"ay\"])))}t.exports=function(t,e,r){a(t,e,{name:\"annotations\",handleItemDefaults:l,fullLayout:r.fullLayout})}},71836:function(t,e,r){\"use strict\";var n=r(23816).drawRaw,i=r(94424),a=[\"x\",\"y\",\"z\"];t.exports=function(t){for(var e=t.fullSceneLayout,r=t.dataScale,o=e.annotations,s=0;s<o.length;s++){for(var l=o[s],u=!1,c=0;c<3;c++){var f=a[c],h=l[f],p=e[f+\"axis\"].r2fraction(h);if(p<0||p>1){u=!0;break}}u?t.fullLayout._infolayer.select(\".annotation-\"+t.id+'[data-index=\"'+s+'\"]').remove():(l._pdata=i(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*r[0],e.yaxis.r2l(l.y)*r[1],e.zaxis.r2l(l.z)*r[2]]),n(t.graphDiv,l,s,t.id,l._xa,l._ya))}}},56864:function(t,e,r){\"use strict\";var n=r(24040),i=r(3400);t.exports={moduleType:\"component\",name:\"annotations3d\",schema:{subplots:{scene:{annotations:r(45899)}}},layoutAttributes:r(45899),handleDefaults:r(52808),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(r)for(var a=r.attrRegex,o=Object.keys(t),s=0;s<o.length;s++){var l=o[s];a.test(l)&&(t[l].annotations||[]).length&&(i.pushUnique(e._basePlotModules,r),i.pushUnique(e._subplots.gl3d,l))}},convert:r(42456),draw:r(71836)}},54976:function(t,e,r){\"use 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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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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,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({},E,{weight:M.weight,style:M.style,variant:M.variant,color:M.color,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,P=e.xpad,O=e.ypad,I=e.x,z=o?e.y:1-e.y,D=\"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=D?B.h:r._fullLayout.height,rt=Math.round(o?I*tt+P:z*et+O),nt={center:.5,right:1}[L]||0,it={top:1,middle:.5}[C]||0,at=o?I-nt*J:z-it*J,ot=o?z-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+P/B.w:z+O/B.h);var ut=-1!==[\"top\",\"bottom\"].indexOf(V);if(o&&ut&&(lt.title.side=V,lt.titlex=I+P/B.w,lt.titley=ot+(\"top\"===U.side?Q-O/B.h:O/B.h)),o||ut||(lt.title.side=V,lt.titley=z+O/B.h,lt.titlex=ot+P/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+O/B.h,ot+Q-O/B.h]:[ot+P/B.w,ot+Q-P/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=P+B.l+tt*I,e=O+B.t+et*(1-ot-Q)+3+.75*yt),\"bottom\"===V&&(t=P+B.l+tt*I,e=O+B.t+et*(1-ot)-3-.25*yt),\"right\"===V&&(e=O+B.t+et*z+3+.75*yt,t=P+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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rt,nt,it,at,ot,st,lt,ut,ct,ft,ht,pt,dt,vt=[],gt=[],yt={hLinePoint:null,vLinePoint:null},mt=!1;if(Array.isArray(e))for(M=\"array\",it=0;it<e.length;it++)(ot=t.calcdata[e[it].curveNumber||0])&&(st=ot[0].trace,\"skip\"!==ot[0].trace.hoverinfo&&(gt.push(ot),\"h\"===st.orientation&&(mt=!0)));else{var xt,bt,_t=t.calcdata.slice();for(_t.sort((function(t,e){return(t[0].trace.zorder||0)-(e[0].trace.zorder||0)})),at=0;at<_t.length;at++)ot=_t[at],\"skip\"!==(st=ot[0].trace).hoverinfo&&m.isTraceInSubplots(st,x)&&(gt.push(ot),\"h\"===st.orientation&&(mt=!0));if(l){if(!1===c.triggerHandler(t,\"plotly_beforehover\",e))return;var wt=l.getBoundingClientRect();xt=e.clientX-wt.left,bt=e.clientY-wt.top,b._calcInverseTransform(t);var Tt=o.apply3DTransform(b._invTransform)(xt,bt);if(xt=Tt[0],bt=Tt[1],xt<0||xt>Z[0]._length||bt<0||bt>K[0]._length)return v.unhoverRaw(t,e)}else xt=\"xpx\"in e?e.xpx:Z[0]._length/2,bt=\"ypx\"in e?e.ypx:K[0]._length/2;if(e.pointerX=xt+Z[0]._offset,e.pointerY=bt+K[0]._offset,rt=\"xval\"in e?m.flat(x,e.xval):m.p2c(Z,xt),nt=\"yval\"in e?m.flat(x,e.yval):m.p2c(K,bt),!i(rt[0])||!i(nt[0]))return o.warn(\"Fx.hover failed\",e,t),v.unhoverRaw(t,e)}var kt=1/0;function At(r,n){for(at=0;at<gt.length;at++)if((ot=gt[at])&&ot[0]&&ot[0].trace&&!0===(st=ot[0].trace).visible&&0!==st._length&&-1===[\"carpet\",\"contourcarpet\"].indexOf(st._module.name)){if(ct=M,m.isUnifiedHover(ct)&&(ct=ct.charAt(0)),\"splom\"===st.type?lt=x[ut=0]:(lt=m.getSubplot(st),ut=x.indexOf(lt)),pt={cd:ot,trace:st,xa:Z[ut],ya:K[ut],maxHoverDistance:tt,maxSpikeDistance:et,index:!1,distance:Math.min(kt,tt),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:d.defaultLine,name:st.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},b[lt]&&(pt.subplot=b[lt]._subplot),b._splomScenes&&b._splomScenes[st.uid]&&(pt.scene=b._splomScenes[st.uid]),\"array\"===ct){var a=e[at];\"pointNumber\"in a?(pt.index=a.pointNumber,ct=\"closest\"):(ct=\"\",\"xval\"in a&&(ft=a.xval,ct=\"x\"),\"yval\"in a&&(ht=a.yval,ct=ct?\"closest\":\"y\"))}else void 0!==r&&void 0!==n?(ft=r,ht=n):(ft=rt[ut],ht=nt[ut]);if(dt=vt.length,0!==tt)if(st._module&&st._module.hoverPoints){var s=st._module.hoverPoints(pt,ft,ht,ct,{finiteRange:!0,hoverLayer:b._hoverlayer,hoversubplots:_,gd:t});if(s)for(var l,u=0;u<s.length;u++)l=s[u],i(l.x0)&&i(l.y0)&&vt.push(B(l,M))}else o.log(\"Unrecognized trace type in hover:\",st);if(\"closest\"===M&&vt.length>dt&&(vt.splice(0,dt),kt=vt[0].distance),A&&0!==et&&0===vt.length){pt.distance=et,pt.index=!1;var c=st._module.hoverPoints(pt,ft,ht,\"closest\",{hoverLayer:b._hoverlayer});if(c&&(c=c.filter((function(t){return t.spikeDistance<=et}))),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=St(p),(!yt.vLinePoint||yt.vLinePoint.spikeDistance>f.spikeDistance)&&(yt.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=St(g),(!yt.hLinePoint||yt.hLinePoint.spikeDistance>f.spikeDistance)&&(yt.hLinePoint=f))}}}}}function Mt(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 St(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}At();var Et={fullLayout:b,container:b._hoverlayer,event:e},Lt=t._spikepoints,Ct={vLinePoint:yt.vLinePoint,hLinePoint:yt.hLinePoint};t._spikepoints=Ct;var Pt=function(){var t=vt.filter((function(t){return f&&f._id===t.xa._id&&p&&p._id===t.ya._id})),e=vt.filter((function(t){return!(f&&f._id===t.xa._id&&p&&p._id===t.ya._id)}));t.sort(P),e.sort(P),vt=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];y.traceIs(s.trace,\"bar-like\")||y.traceIs(s.trace,\"box-violin\")?a.push(s):s.trace[r+\"period\"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(vt=t.concat(e),M)};Pt();var Ot=M.charAt(0),It=(\"x\"===Ot||\"y\"===Ot)&&vt[0]&&C[vt[0].trace.type];if(A&&0!==et&&0!==vt.length){var zt=Mt(vt.filter((function(t){return t.ya.showspikes})),et,It);yt.hLinePoint=St(zt);var Dt=Mt(vt.filter((function(t){return t.xa.showspikes})),et,It);yt.vLinePoint=St(Dt)}if(0===vt.length){var Rt=v.unhoverRaw(t,e);return!A||null===yt.hLinePoint&&null===yt.vLinePoint||j(Lt)&&N(t,yt,Et),Rt}if(A&&j(Lt)&&N(t,yt,Et),m.isXYhover(ct)&&0!==vt[0].length&&\"splom\"!==vt[0].trace.type){var Ft=vt[0],Bt=(vt=L[Ft.trace.type]?vt.filter((function(t){return t.trace.index===Ft.trace.index})):[Ft]).length;At(V(\"x\",Ft,b),V(\"y\",Ft,b));var Nt,jt=[],Ut={},Vt=0,qt=function(t){var e=L[t.trace.type]?O(t):t.trace.index;if(Ut[e]){var r=Ut[e]-1,n=jt[r];r>0&&Math.abs(t.distance)<Math.abs(n.distance)&&(jt[r]=t)}else Vt++,Ut[e]=Vt,jt.push(t)};for(Nt=0;Nt<Bt;Nt++)qt(vt[Nt]);for(Nt=vt.length-1;Nt>Bt-1;Nt--)qt(vt[Nt]);vt=jt,Pt()}var Ht=t._hoverdata,Gt=[],Wt=q(t),Yt=H(t);for(it=0;it<vt.length;it++){var Xt=vt[it],Zt=m.makeEventData(Xt,Xt.trace,Xt.cd);if(!1!==Xt.hovertemplate){var Kt=!1;Xt.cd[Xt.index]&&Xt.cd[Xt.index].ht&&(Kt=Xt.cd[Xt.index].ht),Xt.hovertemplate=Kt||Xt.trace.hovertemplate||!1}if(Xt.xa&&Xt.ya){var Jt=Xt.x0+Xt.xa._offset,$t=Xt.x1+Xt.xa._offset,Qt=Xt.y0+Xt.ya._offset,te=Xt.y1+Xt.ya._offset,ee=Math.min(Jt,$t),re=Math.max(Jt,$t),ne=Math.min(Qt,te),ie=Math.max(Qt,te);Zt.bbox={x0:ee+Yt,x1:re+Yt,y0:ne+Wt,y1:ie+Wt}}Xt.eventData=[Zt],Gt.push(Zt)}t._hoverdata=Gt;var ae=\"y\"===M&&(gt.length>1||vt.length>1)||\"closest\"===M&&mt&&vt.length>1,oe=d.combine(b.plot_bgcolor||d.background,b.paper_bgcolor),se=z(vt,{gd:t,hovermode:M,rotateLabels:ae,bgColor:oe,container:b._hoverlayer,outerContainer:b._paper.node(),commonLabelOpts:b.hoverlabel,hoverdistance:b.hoverdistance}),le=se.hoverLabels;if(m.isUnifiedHover(M)||(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 A(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=R(t,e),v=t.anchor,A=\"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(S+p.y)-T(t.by/2-S))+T(t.by);else{var M=w(A*S+p.x),E=M+w(A*t.bx);u=t.crossPos+Math.min(M,E),c=t.crossPos+Math.max(M,E)}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?k: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],E=g[s+1],L=M[M.length-1],C=E[0];if((a=L.pos+L.dp+L.size-C.pos-C.dp+C.size)>.01&&L.pmin===C.pmin&&L.pmax===C.pmax){for(l=E.length-1;l>=0;l--)E[l].dp+=a;for(M.push.apply(M,E),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(A)}for(s=g.length-1;s>=0;s--){var P=g[s];for(l=P.length-1;l>=0;l--){var O=P[l],I=O.datum;I.offset=O.dp,I.del=O.del}}}(le,ae,b,se.commonLabelBoundingBox),F(le,ae,b._invScaleX,b._invScaleY)),l&&l.tagName){var ue=y.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,Gt);h(n.select(l),ue?\"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,Ht)&&(Ht&&t.emit(\"plotly_unhover\",{event:e,points:Ht}),t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:Z,yaxes:K,xvals:rt,yvals:nt}))}(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=q(i),o=H(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(y.traceIs(v,\"gl3d\")){var g=i._fullLayout[v.scene]._scene.container,m=g.offsetLeft,x=g.offsetTop;c+=m,f+=m,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})),F(s,!1,i._fullLayout._invScaleX,i._fullLayout._invScaleY),r?s:s.node()};var I=/<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 T=e.fontFamily||x.HOVERFONT,k=e.fontSize||x.HOVERFONTSIZE,A=e.fontWeight||i.font.weight,M=e.fontStyle||i.font.style,L=e.fontVariant||i.font.variant,C=t[0],P=C.xa,I=C.ya,z=a.charAt(0),R=z+\"Label\",F=C[R];if(void 0===F&&\"multicategory\"===P.type)for(var B=0;B<t.length&&void 0===(F=t[B][R]);B++);var N=G(r,v),j=N.top,U=N.width,V=N.height,q=void 0!==F&&C.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(q){var H,W,Y=!0;for(H=0;H<t.length;H++)if(Y&&void 0===t[H].zLabel&&(Y=!1),W=t[H].hoverinfo||t[H].trace.hoverinfo){var X=Array.isArray(W)?W:W.split(\"+\");if(-1===X.indexOf(\"all\")&&-1===X.indexOf(a)){q=!1;break}}Y&&(q=!1)}var Z=h.selectAll(\"g.axistext\").data(q?[0]:[]);Z.enter().append(\"g\").classed(\"axistext\",!0),Z.exit().remove();var K={minX:0,maxX:0,minY:0,maxY:0};if(Z.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={weight:g.font.weight||A,style:g.font.style||M,variant:g.font.variant||L,family:g.font.family||T,size:g.font.size||k,color:g.font.color||h};e.style({fill:u,stroke:c}),s.text(F).call(p.font,v).call(f.positionText,0,0).call(f.convertToTspans,r),t.attr(\"transform\",\"\");var y,m,x=G(r,s.node());if(\"x\"===a){var b=\"top\"===P.side?\"-\":\"\";s.attr(\"text-anchor\",\"middle\").call(f.positionText,0,\"top\"===P.side?j-x.bottom-S-E:j-x.top+S+E),y=P._offset+(C.x0+C.x1)/2,m=I._offset+(\"top\"===P.side?0:I._length);var _=x.width/2+E,w=y;y<_?w=_:y>i.width-_&&(w=i.width-_),e.attr(\"d\",\"M\"+(y-w)+\",0L\"+(y-w+S)+\",\"+b+S+\"H\"+_+\"v\"+b+(2*E+x.height)+\"H\"+-_+\"V\"+b+S+\"H\"+(y-w-S)+\"Z\"),y=w,K.minX=y-_,K.maxX=y+_,\"top\"===P.side?(K.minY=m-(2*E+x.height),K.maxY=m-E):(K.minY=m+E,K.maxY=m+(2*E+x.height))}else{var O,z,D;\"right\"===I.side?(O=\"start\",z=1,D=\"\",y=P._offset+P._length):(O=\"end\",z=-1,D=\"-\",y=P._offset),m=I._offset+(C.y0+C.y1)/2,s.attr(\"text-anchor\",O),e.attr(\"d\",\"M0,0L\"+D+S+\",\"+S+\"V\"+(E+x.height/2)+\"h\"+D+(2*E+x.width)+\"V-\"+(E+x.height/2)+\"H\"+D+S+\"V-\"+S+\"Z\"),K.minY=m-(E+x.height/2),K.maxY=m+(E+x.height/2),\"right\"===I.side?(K.minX=y+S,K.maxX=y+S+(2*E+x.width)):(K.minX=y-S-(2*E+x.width),K.maxX=y-S);var R,B=x.height/2,N=j-x.top-B,U=\"clip\"+i._uid+\"commonlabel\"+I._id;if(y<x.width+2*E+S){R=\"M-\"+(S+E)+\"-\"+B+\"h-\"+(x.width-E)+\"V\"+B+\"h\"+(x.width-E)+\"Z\";var V=x.width-y+E;f.positionText(s,V,N),\"end\"===O&&s.selectAll(\"tspan\").each((function(){var t=n.select(this),e=p.tester.append(\"text\").text(t.text()).call(p.font,v),i=G(r,e.node());Math.round(i.width)<Math.round(x.width)&&t.attr(\"x\",V-i.width),e.remove()}))}else f.positionText(s,z*(E+S),N),R=null;var q=i._topclips.selectAll(\"#\"+U).data(R?[0]:[]);q.enter().append(\"clipPath\").attr(\"id\",U).append(\"path\"),q.exit().remove(),q.select(\"path\").attr(\"d\",R),p.setClipUrl(s,R?U:null,r)}t.attr(\"transform\",l(y,m))})),m.isUnifiedHover(a)){h.selectAll(\"g.hovertext\").remove();var J=t.filter((function(t){return\"none\"!==t.hoverinfo}));if(0===J.length)return[];var $=i.hoverlabel,Q=$.font,tt={showlegend:!0,legend:{title:{text:F,font:Q},font:Q,bgcolor:$.bgcolor,bordercolor:$.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:i.legend?i.legend.traceorder:void 0,orientation:\"v\"}},et={font:Q};b(tt,et,r._fullData);var rt=et.legend;rt.entries=[];for(var nt=0;nt<J.length;nt++){var it=J[nt];if(\"none\"!==it.hoverinfo){var at=D(it,!0,a,i,F),ot=at[0],st=at[1];it.name=st,it.text=\"\"!==st?st+\" : \"+ot:ot;var lt=it.cd[it.index];lt&&(lt.mc&&(it.mc=lt.mc),lt.mcc&&(it.mc=lt.mcc),lt.mlc&&(it.mlc=lt.mlc),lt.mlcc&&(it.mlc=lt.mlcc),lt.mlw&&(it.mlw=lt.mlw),lt.mrc&&(it.mrc=lt.mrc),lt.dir&&(it.dir=lt.dir)),it._distinct=!0,rt.entries.push([it])}}rt.entries.sort((function(t,e){return t[0].trace.index-e[0].trace.index})),rt.layer=h,rt._inHover=!0,rt._groupTitleFont=$.grouptitlefont,_(r,rt);var 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0),-1===p.indexOf(\"name\")&&(t.name=void 0)),t}function N(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=O(i);i||(i=a[o]);var 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O=S,I=E;S=k?i.constrain(S,0,d.width-h._width):O,E=M?i.constrain(E,0,d.height-h._effHeight):I,S!==O&&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 z=h._effHeight;T&&(z=h._height),U.attr({width:h._width-_,height:z-_,x:_/2,y:_/2}),u.setTranslate(q,0,0),j.select(\"rect\").attr({width:h._width-2*_,height:z-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&&(D=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,D,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(){var t=u.getTranslate(N);m=t.x,x=t.y},moveFn:function(t,r){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=O(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 s.name=n;return a._isShape?o.call(\"_guiRelayout\",e,\"shapes[\"+c.index+\"].name\",s.name):o.call(\"_guiRestyle\",e,s,c.index)})):L(g,t,e,r)}function S(t,e){var r=Math.max(4,e);if(t&&t.trim().length>=r/2)return t;for(var n=r-(t=t||\"\").length;n>0;n--)t+=\" \";return t}function E(t,e,r){var a,o=e._context.doubleClickDelay,s=1,l=i.ensureSingle(t,\"rect\",r+\"toggle\",(function(t){e._context.staticPlot||t.style(\"cursor\",\"pointer\").attr(\"pointer-events\",\"all\"),t.call(c.fill,\"rgba(0,0,0,0)\")}));e._context.staticPlot||(l.on(\"mousedown\",(function(){(a=(new Date).getTime())-e._legendMouseDownTime<o?s+=1:(s=1,e._legendMouseDownTime=a)})),l.on(\"mouseup\",(function(){if(!e._dragged&&!e._editing){var i=e._fullLayout[r];(new Date).getTime()-e._legendMouseDownTime>o&&(s=Math.max(s-1,1)),A(e,i,t,s,n.event)}})))}function L(t,e,r,n,i){n._inHover&&t.attr(\"data-notex\",!0),f.convertToTspans(t,r,(function(){!function(t,e,r,n){var i=t.data()[0][0];if(r._inHover||!i||i.trace.showlegend){var a=t.select(\"g[class*=math-group]\"),o=a.node(),s=O(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 P(t){return i.isBottomAnchor(t)?\"bottom\":i.isMiddleAnchor(t)?\"middle\":\"top\"}function O(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,P=m.legend,O=m._fullInput;if(O&&O._isShape||!n.traceIs(m,\"pie-like\")){var I,z=k&&k.length,D=[];if(z)for(x=0;x<y.length;x++)(I=y[x]).visible&&I.legendgroup===k&&D.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(z)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,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.  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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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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 P=[],O=[],I=[],z=[];(v||b||m||x||_)+y+g+w+T+k>1?(O=[\"toggleHover\"],I=[\"resetViews\"]):y?(P=[\"zoomInGeo\",\"zoomOutGeo\"],O=[\"hoverClosestGeo\"],I=[\"resetGeo\"]):g?(O=[\"hoverClosest3d\"],I=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(P=[\"zoomInMapbox\",\"zoomOutMapbox\"],O=[\"toggleHover\"],I=[\"resetViewMapbox\"]):b?O=[\"hoverClosestGl2d\"]:m?O=[\"hoverClosestPie\"]:A?(O=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],I=[\"resetViewSankey\"]):O=[\"toggleHover\"],v&&(O=[\"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)&&(O=[]),!v&&!b||M||(P=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],\"resetViews\"!==I[0]&&(I=[\"resetScale2d\"])),g?z=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:(v||b)&&!M||_?z=[\"zoom2d\",\"pan2d\"]:w||y?z=[\"pan2d\"]:T&&(z=[\"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)&&z.push(\"select2d\",\"lasso2d\");var D=[],R=function(t){-1===D.indexOf(t)&&-1!==O.indexOf(t)&&D.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\"))&&z.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(\"toggleHover\"),R(\"hoverClosestCartesian\"),R(\"hoverCompareCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\"))):F.push(N)}p=F}return L(z),L(P.concat(I)),L(D),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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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],P=l._rl[1],O=P-C;if(l.p2d=function(t){return t/l._width*O+C},l.d2p=function(t){return(t-C)/O*l._width},r.rangebreaks){var I=r.locateBreaks(C,P);if(I.length){var z,D,R=0;for(z=0;z<I.length;z++)R+=(D=I[z]).max-D.min;var F=l._width/(P-C-R),B=[-F*C];for(z=0;z<I.length;z++)D=I[z],B.push(B[B.length-1]-F*(D.max-D.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 0===i.path&&(void 0!==i.x0&&void 0!==i.x1&&void 0!==i.y0&&void 0!==i.y1||(e.selections[n]=null))}}},23640:function(t,e,r){\"use strict\";var n=r(9856).readPaths,i=r(55496),a=r(1936).clearOutlineControllers,o=r(76308),s=r(43616),l=r(31780).arrayEditor,u=r(65152),c=u.getPathString;function f(t){var e=t._fullLayout;for(var r in a(t),e._selectionLayer.selectAll(\"path\").remove(),e._plots){var n=e._plots[r].selectionLayer;n&&n.selectAll(\"path\").remove()}for(var i=0;i<e.selections.length;i++)p(t,i)}function h(t){return t._context.editSelection}function p(t,e){t._fullLayout._paperdiv.selectAll('.selectionlayer [data-index=\"'+e+'\"]').remove();var r=u.makeSelectionsOptionsAndPlotinfo(t,e),a=r.options,p=r.plotinfo;a._input&&function(r){var u=c(t,a),g={\"data-index\":e,\"fill-rule\":\"evenodd\",d:u},y=a.opacity,m=\"rgba(0,0,0,0)\",x=a.line.color||o.contrast(t._fullLayout.plot_bgcolor),b=a.line.width,_=a.line.dash;b||(b=5,_=\"solid\");var 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,P=r(73696),O=r(39172).redrawReglTraces,I=r(83280),z=I.MINSELECT,D=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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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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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 P=lt(v,S[L]),O=lt(m,E[L]);h.push([P,O]),l=Math.min(P,l),u=Math.max(P,u),c=Math.min(O,c),f=Math.max(O,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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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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s=[],u=k._fullLayout.selections,c=0;c<u.length;c++){var f=u[c];f&&(f.xref===i._id&&f.yref===o._id||s.push(f))}s.length<u.length&&(k._fullLayout._noEmitSelectedAtStart=!0,a.call(\"_guiRelayout\",k,{selections:s}))}}}else r.indexOf(\"select\")>-1&&V(e,k,n.xaxes,n.yaxes,n.subplot,n,bt),\"event\"===r&&ft(k,void 0);l.click(k,e,P.id)})).catch(M.error)}},n.doneFn=function(){kt.remove(),L.done(Mt).then((function(){L.clear(Mt),!S&&K&&n.selectionDefs&&(K.subtract=xt,n.selectionDefs.push(K),n.mergedPolygons.length=0,[].push.apply(n.mergedPolygons,X)),(S||x)&&Y(n,S),n.doneFnCompleted&&n.doneFnCompleted(St),b&&ft(k,at)})).catch(M.error)}},clearOutline:x,clearSelectionsCache:Y,selectOnClick:V}},46056:function(t,e,r){\"use strict\";var 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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],P=1;P<C.length;P+=2){var O=C[P],I=C[P+1];x=Math.min(x,O),b=Math.max(b,O),_=Math.min(_,I),w=Math.max(w,I)}}else{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],P=n[l][1],O=n[u][1],I=n[c][1],z=n[s][2],D=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),P=v(y.xaxis,P),O=v(y.xaxis,O),I=v(y.xaxis,I)),N&&(z=v(y.yaxis,z),D=v(y.yaxis,D),R=v(y.yaxis,R),F=v(y.yaxis,F));var j=(P+I)/2,U=(z+R)/2,V=b({x0:j,y0:U,x1:j+(I-P+O-C)/2*f,y1:U+(F-D+R-z)/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),f(\"x1\",v.x1),f(\"y0\",v.y0),f(\"y1\",v.y1);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);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){var a,o=t._fullLayout._size;if(r)if(\"domain\"===i)a=function(t){return r._length*(n?1-t:t)+r._offset};else{var s=e.shapePositionToRange(r);a=function(t){return r._offset+r.r2p(s(t,!0))},\"date\"===r.type&&(a=e.decodeDate(a))}else a=n?function(t){return o.t+o.h*(1-t)}:function(t){return o.l+o.w*t};return a},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 o,s,l,u,c,f,h,p,d=r.type,v=a.getRefType(r.xref),g=a.getRefType(r.yref),y=a.getFromId(t,r.xref),m=a.getFromId(t,r.yref),x=t._fullLayout._size;if(y?\"domain\"===v?s=function(t){return y._offset+y._length*t}:(o=e.shapePositionToRange(y),s=function(t){return y._offset+y.r2p(o(t,!0))}):s=function(t){return x.l+x.w*t},m?\"domain\"===g?u=function(t){return m._offset+m._length*(1-t)}:(l=e.shapePositionToRange(m),u=function(t){return m._offset+m.r2p(l(t,!0))}):u=function(t){return x.t+x.h*(1-t)},\"path\"===d)return y&&\"date\"===y.type&&(s=e.decodeDate(s)),m&&\"date\"===m.type&&(u=e.decodeDate(u)),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,s,u);if(\"pixel\"===r.xsizemode){var b=s(r.xanchor);c=b+r.x0,f=b+r.x1}else c=s(r.x0),f=s(r.x1);if(\"pixel\"===r.ysizemode){var _=u(r.yanchor);h=_-r.y0,p=_-r.y1}else h=u(r.y0),p=u(r.y1);if(\"line\"===d)return\"M\"+c+\",\"+h+\"L\"+f+\",\"+p;if(\"rect\"===d)return\"M\"+c+\",\"+h+\"H\"+f+\"V\"+p+\"H\"+c+\"Z\";var w=(c+f)/2,T=(h+p)/2,k=Math.abs(w-c),A=Math.abs(T-h),M=\"A\"+k+\",\"+A,S=w+k+\",\"+T;return\"M\"+S+M+\" 0 1,1 \"+w+\",\"+(T-A)+M+\" 0 0,1 \"+S+\"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,r){return e(t.x1,r)-e(t.x0,r)}function i(t,r,n){return e(t.y1,n)-e(t.y0,n)}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:i(t,0,r)/n(t,e)},dx:n,dy:i,width:function(t,e){return Math.abs(n(t,e))},height:function(t,e,r){return Math.abs(i(t,0,r))},length:function(t,e,r){return\"line\"!==t.type?void 0:Math.sqrt(Math.pow(n(t,e),2)+Math.pow(i(t,0,r),2))},xcenter:function(t,n){return r((e(t.x1,n)+e(t.x0,n))/2,n)},ycenter:function(t,n,i){return r((e(t.y1,i)+e(t.y0,i))/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 u.positionText(l,n,g),l}}function b(t,e,r){s.ensureSingle(t,\"rect\",f.gripRectClass,(function(n){n.call(A,e,t,r).style(\"pointer-events\",\"all\")})).attr({width:f.gripWidth,height:f.gripHeight,rx:f.gripRadius,ry:f.gripRadius}).call(a.stroke,r.bordercolor).call(a.fill,r.bgcolor).style(\"stroke-width\",r.borderwidth+\"px\")}function _(t,e,r){var n=s.ensureSingle(t,\"text\",f.labelClass,(function(t){t.attr({\"text-anchor\":\"middle\",\"data-notex\":1})})),i=e.step.label,a=r._gd._fullLayout._meta;return a&&(i=s.templateString(i,a)),n.call(o.font,r.font).text(i).call(u.convertToTspans,r._gd),n}function w(t,e){var r=s.ensureSingle(t,\"g\",f.labelsClass),i=e._dims,a=r.selectAll(\"g.\"+f.labelGroupClass).data(i.labelSteps);a.enter().append(\"g\").classed(f.labelGroupClass,!0),a.exit().remove(),a.each((function(t){var r=n.select(this);r.call(_,t,e),o.setTranslate(r,E(e,t.fraction),f.tickOffset+e.ticklen+e.font.size*p+f.labelOffset+i.currentValueTotalHeight)}))}function T(t,e,r,n,i){var 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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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 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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){O&&t.data&&t._context.showTips&&(i.notifier(i._(t,\"Double-click to zoom back out\"),\"long\"),O=!1)}function G(t){var e=Math.floor(Math.min(t.b-t.t,t.r-t.l,P)/2);return\"M\"+(t.l-3.5)+\",\"+(t.t-.5+e)+\"h3v\"+-e+\"h\"+e+\"v-3h-\"+(e+3)+\"ZM\"+(t.r+3.5)+\",\"+(t.t-.5+e)+\"h-3v\"+-e+\"h\"+-e+\"v-3h\"+(e+3)+\"ZM\"+(t.r+3.5)+\",\"+(t.b+.5-e)+\"h-3v\"+e+\"h\"+-e+\"v3h\"+(e+3)+\"ZM\"+(t.l-3.5)+\",\"+(t.b+.5-e)+\"h3v\"+e+\"h\"+e+\"v3h-\"+(e+3)+\"Z\"}function W(t,e,r,n,a){for(var o,s,l,u,c=!1,f={},h={},p=(a||{}).xaHash,d=(a||{}).yaHash,v=0;v<e.length;v++){var g=e[v];for(o in r)if(g[o]){for(l in g)a&&(p[l]||d[l])||(\"x\"===l.charAt(0)?r:n)[l]||(f[l]=o);for(s in n)a&&(p[s]||d[s])||!g[s]||(c=!0)}for(s in n)if(g[s])for(u in g)a&&(p[u]||d[u])||(\"x\"===u.charAt(0)?r:n)[u]||(h[u]=s)}c&&(i.extendFlat(f,h),h={});var y={},m=[];for(l in f){var x=k(t,l);m.push(x),y[x._id]=x}var b={},_=[];for(u in h){var w=k(t,u);_.push(w),b[w._id]=w}return{xaHash:y,yaHash:b,xaxes:m,yaxes:_,xLinks:f,yLinks:h,isSubplotConstrained:c}}function Y(t,e){if(s){var r=void 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 O,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(O=e.xaxis,I=e.yaxis,tt=O._length,et=I._length,$=O._offset,Q=I._offset,(V={})[O._id]=O,(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=D(K,y),at=D(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=z(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,Pt={element:bt,gd:t,plotinfo:e};function Ot(){Pt.plotinfo.selection=!1,M(t)}function It(t,r){var i=Pt.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,Pt),o.indexOf(\"event\")>-1&&p.click(i,r,e.id);else if(1===t&&yt){var s=v?I:O,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 zt(e,r){if(t._transitioningWithDuration)return!1;var n=Math.max(0,Math.min(tt,pt*e+_t)),i=Math.max(0,Math.min(et,dt*r+wt)),a=Math.abs(n-_t),o=Math.abs(i-wt);function s(){St=\"\",Tt.r=Tt.l,Tt.t=Tt.b,Lt.attr(\"d\",\"M0,0Z\")}if(Tt.l=Math.min(_t,n),Tt.r=Math.max(_t,n),Tt.t=Math.min(wt,i),Tt.b=Math.max(wt,i),rt.isSubplotConstrained)a>P||o>P?(St=\"xy\",a/tt>o/et?(o=a*et/tt,wt>i?Tt.t=wt-o:Tt.b=wt+o):(a=o*tt/et,_t>n?Tt.l=_t-a:Tt.r=_t+a),Lt.attr(\"d\",G(Tt))):s();else if(nt.isSubplotConstrained)if(a>P||o>P){St=\"xy\";var l=Math.min(Tt.l/tt,(et-Tt.b)/et),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),P)?a<C||!it?s():(Tt.t=0,Tt.b=et,St=\"x\",Lt.attr(\"d\",function(t,e){return\"M\"+(t.l-.5)+\",\"+(e-P-.5)+\"h-3v\"+(2*P+1)+\"h3ZM\"+(t.r+.5)+\",\"+(e-P-.5)+\"h3v\"+(2*P+1)+\"h-3Z\"}(Tt,wt))):!it||a<Math.min(.6*o,P)?(Tt.l=0,Tt.r=tt,St=\"y\",Lt.attr(\"d\",function(t,e){return\"M\"+(e-P-.5)+\",\"+(t.t-.5)+\"v-3h\"+(2*P+1)+\"v3ZM\"+(e-P-.5)+\",\"+(t.b+.5)+\"v3h\"+(2*P+1)+\"v-3Z\"}(Tt,_t))):(St=\"xy\",Lt.attr(\"d\",G(Tt)));Tt.w=Tt.r-Tt.l,Tt.h=Tt.b-Tt.t,St&&(Ct=!0),t._dragged=Ct,U(Et,Lt,Tt,At,Mt,kt),Dt(),t.emit(\"plotly_relayouting\",ht),Mt=!0}function Dt(){ht={},\"xy\"!==St&&\"x\"!==St||(R(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(){Dt(),q(t),Gt(),H(t)}Pt.prepFn=function(e,r,n){var a=Pt.dragmode,s=t._fullLayout.dragmode;s!==a&&(Pt.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)?Pt.minDrag=1:Pt.minDrag=void 0,m(s)?(Pt.xaxes=K,Pt.yaxes=J,A(e,r,n,Pt,s)):(Pt.clickFn=It,m(a)&&Ot(),ot||(\"zoom\"===s?(Pt.moveFn=zt,Pt.doneFn=Rt,Pt.minDrag=1,function(e,r,n){var a=bt.getBoundingClientRect();_t=r-a.left,wt=n-a.top,t._fullLayout._calcInverseTransform(t);var s=i.apply3DTransform(t._fullLayout._invTransform)(_t,wt);_t=s[0],wt=s[1],Tt={l:_t,r:_t,w:0,t:wt,b:wt,h:0},kt=t._hmpixcount?t._hmlumcount/t._hmpixcount:o(t._fullLayout.plot_bgcolor).getLuminance(),Mt=!1,St=\"xy\",Ct=!1,Et=N(vt,kt,$,Q,At=\"M0,0H\"+tt+\"V\"+et+\"H0V0\"),Lt=j(vt,$,Q)}(0,r,n)):\"pan\"===s&&(Pt.moveFn=Ut,Pt.doneFn=Gt))),t._fullLayout._redrag=function(){var e=t._dragdata;if(e&&e.element===bt){var r=t._fullLayout.dragmode;m(r)||(mt(),Wt([0,0,tt,et]),Pt.moveFn(e.dx,e.dy))}}},g.init(Pt);var Ft=[0,0,tt,et],Bt=null,Nt=L.REDRAWDELAY,jt=e.mainplot?t._fullLayout._plots[e.mainplot]:e;function Ut(e,r){if(e*=pt,r*=dt,!t._transitioningWithDuration){if(t._fullLayout._replotting=!0,\"ew\"===it||\"ns\"===at){var n=it?-e:0,i=at?-r:0;if(nt.isSubplotConstrained){if(it&&at){var a=(e/tt-r/et)/2;n=-(e=a*tt),i=-(r=-a*et)}at?n=-i*tt/et:i=-n*et/tt}return it&&(F(K,e),Vt(\"x\")),at&&(F(J,r),Vt(\"y\")),Wt([n,i,tt,et]),qt(),void t.emit(\"plotly_relayouting\",ht)}var o,s,l=\"w\"===it==(\"n\"===at)?1:-1;if(it&&at&&(rt.isSubplotConstrained||nt.isSubplotConstrained)){var u=(e/tt+l*r/et)/2;e=u*tt,r=l*u*et}if(\"w\"===it?e=p(K,0,e):\"e\"===it?e=p(K,1,-e):it||(e=0),\"n\"===at?r=p(J,1,r):\"s\"===at?r=p(J,0,-r):at||(r=0),o=\"w\"===it?e:0,s=\"n\"===at?r:0,rt.isSubplotConstrained&&!nt.isSubplotConstrained||nt.isSubplotConstrained&&it&&at&&l>0){var c;if(nt.isSubplotConstrained||!it&&1===at.length){for(c=0;c<K.length;c++)K[c].range=K[c]._r.slice(),E(K[c],1-r/et);o=(e=r*tt/et)/2}if(nt.isSubplotConstrained||!at&&1===it.length){for(c=0;c<J.length;c++)J[c].range=J[c]._r.slice(),E(J[c],1-e/tt);s=(r=e*et/tt)/2}}nt.isSubplotConstrained&&at||Vt(\"x\"),nt.isSubplotConstrained&&it||Vt(\"y\");var f=tt-e,h=et-r;!nt.isSubplotConstrained||it&&at||(it?(s=o?0:e*et/tt,h=f*et/tt):(o=s?0:r*tt/et,f=h*tt/et)),Wt([o,s,f,h]),qt(),t.emit(\"plotly_relayouting\",ht)}function p(t,e,r){for(var n,i,a=1-e,o=0;o<t.length;o++){var s=t[o];if(!s.fixedrange){n=s,i=s._rl[a]+(s._rl[e]-s._rl[a])/B(r/s._length);var l=s.l2r(i);!1!==l&&void 0!==l&&(s.range[e]=l)}}return n._length*(n._rl[e]-i)/(n._rl[e]-n._rl[a])}}function Vt(t,e){for(var r=nt.isSubplotConstrained?{x:J,y:K}[t]:nt[t+\"axes\"],n=nt.isSubplotConstrained?{x:K,y:J}[t]:[],i=0;i<r.length;i++){var a=r[i],o=a._id,s=nt.xLinks[o]||nt.yLinks[o],l=n[0]||V[s]||Z[s];l&&(e?(e[a._name+\".range[0]\"]=e[l._name+\".range[0]\"],e[a._name+\".range[1]\"]=e[l._name+\".range[1]\"]):a.range=l.range.slice())}}function qt(){var r,n=[];function i(t){for(r=0;r<t.length;r++)t[r].fixedrange||n.push(t[r]._id)}function a(t,e){for(r=0;r<t.length;r++){var i=t[r],a=i[e];i.fixedrange||\"sync\"!==a.tickmode||n.push(a._id)}}for(st&&(i(K),i(rt.xaxes),i(nt.xaxes),a(e.overlays,\"xaxis\")),lt&&(i(J),i(rt.yaxes),i(nt.yaxes),a(e.overlays,\"yaxis\")),ht={},r=0;r<n.length;r++){var o=n[r],s=k(t,o);d.drawOne(t,s,{skipTitle:!0}),ht[s._name+\".range[0]\"]=s.range[0],ht[s._name+\".range[1]\"]=s.range[1]}d.redrawComponents(t,n)}function Ht(){if(!t._transitioningWithDuration){var e=t._context.doubleClick,r=[];it&&(r=r.concat(K)),at&&(r=r.concat(J)),nt.xaxes&&(r=r.concat(nt.xaxes)),nt.yaxes&&(r=r.concat(nt.yaxes));var n,i,a={};if(\"reset+autosize\"===e)for(e=\"autosize\",i=0;i<r.length;i++){var o=(n=r[i])._rangeInitial0,s=n._rangeInitial1,u=void 0!==o||void 0!==s;if(u&&(void 0!==o&&o!==n.range[0]||void 0!==s&&s!==n.range[1])||!u&&!0!==n.autorange){e=\"reset\";break}}if(\"autosize\"===e)for(i=0;i<r.length;i++)(n=r[i]).fixedrange||(a[n._name+\".autorange\"]=!0);else if(\"reset\"===e)for((it||rt.isSubplotConstrained)&&(r=r.concat(rt.xaxes)),at&&!rt.isSubplotConstrained&&(r=r.concat(rt.yaxes)),rt.isSubplotConstrained&&(it?at||(r=r.concat(J)):r=r.concat(K)),i=0;i<r.length;i++)if(!(n=r[i]).fixedrange){var c=n._name,f=n._autorangeInitial;void 0===n._rangeInitial0&&void 0===n._rangeInitial1?a[c+\".autorange\"]=!0:void 0===n._rangeInitial0?(a[c+\".autorange\"]=f,a[c+\".range\"]=[null,n._rangeInitial1]):void 0===n._rangeInitial1?(a[c+\".range\"]=[n._rangeInitial0,null],a[c+\".autorange\"]=f):a[c+\".range\"]=[n._rangeInitial0,n._rangeInitial1]}t.emit(\"plotly_doubleclick\",null),l.call(\"_guiRelayout\",t,a)}}function Gt(){Wt([0,0,tt,et]),i.syncOrAsync([T.previousPromises,function(){t._fullLayout._replotting=!1,l.call(\"_guiRelayout\",t,ht)}],t)}function Wt(e){var r,n,a,o,s=t._fullLayout,u=s._plots,c=s._subplots.cartesian;if(ct&&l.subplotsRegistry.splom.drag(t),ut)for(r=0;r<c.length;r++)if(a=(n=u[c[r]]).xaxis,o=n.yaxis,n._scene){var f=i.simpleMap(a.range,a.r2l),p=i.simpleMap(o.range,o.r2l);a.limitRange&&a.limitRange(),o.limitRange&&o.limitRange(),f=a.range,p=o.range,n._scene.update({range:[f[0],p[0],f[1],p[1]]})}if((ct||ut)&&(_(t),w(t)),ft){var d=e[2]/O._length,g=e[3]/I._length;for(r=0;r<c.length;r++){a=(n=u[c[r]]).xaxis,o=n.yaxis;var m,x,b,T,k=(st||nt.isSubplotConstrained)&&!a.fixedrange&&V[a._id],A=(lt||nt.isSubplotConstrained)&&!o.fixedrange&&Z[o._id];if(k?(m=d,b=y||nt.isSubplotConstrained?e[0]:Zt(a,m)):nt.xaHash[a._id]?(m=d,b=e[0]*a._length/O._length):nt.yaHash[a._id]?(m=g,b=\"ns\"===at?-e[1]*a._length/I._length:Zt(a,m,{n:\"top\",s:\"bottom\"}[at])):b=Xt(a,m=Yt(a,d,g)),m>1&&(void 0!==a.maxallowed&&st===(a.range[0]<a.range[1]?\"e\":\"w\")||void 0!==a.minallowed&&st===(a.range[0]<a.range[1]?\"w\":\"e\"))&&(m=1,b=0),A?(x=g,T=v||nt.isSubplotConstrained?e[1]:Zt(o,x)):nt.yaHash[o._id]?(x=g,T=e[1]*o._length/I._length):nt.xaHash[o._id]?(x=d,T=\"ew\"===it?-e[0]*o._length/O._length:Zt(o,x,{e:\"right\",w:\"left\"}[it])):T=Xt(o,x=Yt(o,d,g)),x>1&&(void 0!==o.maxallowed&&lt===(o.range[0]<o.range[1]?\"n\":\"s\")||void 0!==o.minallowed&&lt===(o.range[0]<o.range[1]?\"s\":\"n\"))&&(x=1,T=0),m||x){m||(m=1),x||(x=1);var M=a._offset-b/m,S=o._offset-T/x;n.clipRect.call(h.setTranslate,b,T).call(h.setScale,m,x),n.plot.call(h.setTranslate,M,S).call(h.setScale,1/m,1/x),m===n.xScaleFactor&&x===n.yScaleFactor||(h.setPointGroupScale(n.zoomScalePts,m,x),h.setTextPointsScale(n.zoomScaleTxt,m,x)),h.hideOutsideRangePoints(n.clipOnAxisFalseTraces,n),n.xScaleFactor=m,n.yScaleFactor=x}}}}function Yt(t,e,r){return t.fixedrange?0:st&&rt.xaHash[t._id]?e:lt&&(rt.isSubplotConstrained?rt.xaHash:rt.yaHash)[t._id]?r:0}function Xt(t,e){return e?(t.range=t._r.slice(),E(t,e),Zt(t,e)):0}function Zt(t,e,r){return t._length*(1-e)*b[r||t.constraintoward||\"middle\"]}return v.length*y.length!=1&&Y(bt,(function(e){if(t._context._scrollZoom.cartesian||t._fullLayout._enablescrollzoom){if(Ot(),t._transitioningWithDuration)return e.preventDefault(),void e.stopPropagation();mt(),clearTimeout(Bt);var r=-e.deltaY;if(isFinite(r)||(r=e.wheelDelta/10),isFinite(r)){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 r=function(t,e){return[t[1]*e[2]-t[2]*e[1],t[2]*e[0]-t[0]*e[2],t[0]*e[1]-t[1]*e[0]]}(t,e),n=Math.sqrt(x(r,r)),i=.5*Math.acos(Math.max(-1,Math.min(1,x(t,e)))),a=Math.sin(i)/n;return n&&[Math.cos(i),r[2]*a,-r[1]*a,r[0]*a]}}(r,_),T=function(t){return[Math.atan2(2*(t[0]*t[1]+t[2]*t[3]),1-2*(t[1]*t[1]+t[2]*t[2]))*s,Math.asin(Math.max(-1,Math.min(1,2*(t[0]*t[2]-t[3]*t[1]))))*s,Math.atan2(2*(t[0]*t[3]+t[1]*t[2]),1-2*(t[2]*t[2]+t[3]*t[3]))*s]}((o=(t=C)[0],l=t[1],u=t[2],c=t[3],[o*(f=(a=w)[0])-l*(p=a[1])-u*(d=a[2])-c*(y=a[3]),o*p+l*f+u*y-c*d,o*d-l*y+u*f+c*p,o*y+l*d-u*p+c*f])),k=i.r=function(t,e,r){var n=m(e,2,t[0]);n=m(n,1,t[1]),n=m(n,0,t[2]-r[2]);var i,a,o=e[0],l=e[1],u=e[2],c=n[0],f=n[1],h=n[2],p=Math.atan2(l,o)*s,d=Math.sqrt(o*o+l*l);Math.abs(f)>d?(a=(f>0?90:-90)-p,i=0):(a=Math.asin(f/d)*s-p,i=Math.sqrt(d*d-f*f));var v=180-a-2*p,y=(Math.atan2(h,c)-Math.atan2(u,i))*s,x=(Math.atan2(h,c)-Math.atan2(u,-i))*s;return g(r[0],r[1],a,y)<=g(r[0],r[1],v,x)?[a,y,r[2]]:[v,x,r[2]]}(T,r,E);isFinite(k[0])&&isFinite(k[1])&&isFinite(k[2])||(k=E),e.rotate(k),E=k}}else r=v(e,M=b);h.of(this,arguments)({type:\"zoom\"})})),A=h.of(this,arguments),p++||A({type:\"zoomstart\"})})).on(\"zoomend\",(function(){var r;n.select(this).style(u),d.call(a,\"zoom\",null),r=h.of(this,arguments),--p||r({type:\"zoomend\"}),f(t,e,y)})).on(\"zoom.redraw\",(function(){t.render(!0);var r=e.rotate();t.graphDiv.emit(\"plotly_relayouting\",{\"geo.projection.scale\":e.scale()/t.fitScale,\"geo.projection.rotation.lon\":-r[0],\"geo.projection.rotation.lat\":-r[1]})})),n.rebind(a,h,\"on\")}function v(t,e){var r=t.invert(e);return r&&isFinite(r[0])&&isFinite(r[1])&&function(t){var e=t[0]*o,r=t[1]*o,n=Math.cos(r);return[n*Math.cos(e),n*Math.sin(e),Math.sin(r)]}(r)}function g(t,e,r,n){var i=y(r-t),a=y(n-e);return Math.sqrt(i*i+a*a)}function y(t){return(t%360+540)%360-180}function m(t,e,r){var n=r*o,i=t.slice(),a=0===e?1:0,s=2===e?1:2,l=Math.cos(n),u=Math.sin(n);return i[a]=t[a]*l-t[s]*u,i[s]=t[s]*l+t[a]*u,i}function x(t,e){for(var r=0,n=0,i=t.length;n<i;++n)r+=t[n]*e[n];return r}t.exports=function(t,e){var r=t.projection;return(e._isScoped?h:e._isClipped?d:p)(t,r)}},84888:function(t,e,r){\"use strict\";var n=r(24040),i=r(33816).SUBPLOT_PATTERN;e.KY=function(t,e,r){var i=n.subplotsRegistry[e];if(!i)return[];for(var a=i.attr,o=[],s=0;s<t.length;s++){var l=t[s];l[0].trace[a]===r&&o.push(l)}return o},e._M=function(t,e,r){var i,a=[],o=[];if(!(i=\"string\"==typeof e?n.getModule(e).plot:\"function\"==typeof e?e:e.plot))return[a,t];for(var s=r,l=0;l<t.length;l++){var u=t[l],c=u[0].trace,f=void 0!==c.zorder;!0===c.visible&&0!==c._length&&(!c._module||c._module.plot!==i||f&&c.zorder!==s?o.push(u):a.push(u))}return[a,o]},e.op=function(t,e,r){if(!n.subplotsRegistry[e])return[];var a,o,s,l=n.subplotsRegistry[e].attr,u=[];if(\"gl2d\"===e){var c=r.match(i);o=\"x\"+c[1],s=\"y\"+c[2]}for(var f=0;f<t.length;f++)a=t[f],\"gl2d\"===e&&n.traceIs(a,\"gl2d\")?a[l[0]]===o&&a[l[1]]===s&&u.push(a):a[l]===r&&u.push(a);return u}},2428:function(t,e,r){\"use strict\";var n=r(62644),i=r(97264),a=r(29128),o=r(33816),s=r(89184);function l(t,e){this.element=t,this.plot=e,this.mouseListener=null,this.wheelListener=null,this.lastInputTime=Date.now(),this.lastPos=[0,0],this.boxEnabled=!1,this.boxInited=!1,this.boxStart=[0,0],this.boxEnd=[0,0],this.dragStart=[0,0]}t.exports=function(t){var e=t.mouseContainer,r=t.glplot,u=new l(e,r);function c(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function f(e,n,i){var a,s,l=t.calcDataBox(),f=r.viewBox,h=u.lastPos[0],p=u.lastPos[1],d=o.MINDRAG*r.pixelRatio,v=o.MINZOOM*r.pixelRatio;function g(e,r,n){var i=Math.min(r,n),a=Math.max(r,n);i!==a?(l[e]=i,l[e+2]=a,u.dataBox=l,t.setRanges(l)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}switch(n*=r.pixelRatio,i*=r.pixelRatio,i=f[3]-f[1]-i,t.fullLayout.dragmode){case\"zoom\":if(e){var y=n/(f[2]-f[0])*(l[2]-l[0])+l[0],m=i/(f[3]-f[1])*(l[3]-l[1])+l[1];u.boxInited||(u.boxStart[0]=y,u.boxStart[1]=m,u.dragStart[0]=n,u.dragStart[1]=i),u.boxEnd[0]=y,u.boxEnd[1]=m,u.boxInited=!0,u.boxEnabled||u.boxStart[0]===u.boxEnd[0]&&u.boxStart[1]===u.boxEnd[1]||(u.boxEnabled=!0);var x=Math.abs(u.dragStart[0]-n)<v,b=Math.abs(u.dragStart[1]-i)<v;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&b)x&&(u.boxEnd[0]=u.boxStart[0]),b&&(u.boxEnd[1]=u.boxStart[1]);else{a=u.boxEnd[0]-u.boxStart[0],s=u.boxEnd[1]-u.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(u.boxEnd[1]=u.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),u.boxEnd[1]<l[1]?(u.boxEnd[1]=l[1],u.boxEnd[0]=u.boxStart[0]+(l[1]-u.boxStart[1])/Math.abs(_)):u.boxEnd[1]>l[3]&&(u.boxEnd[1]=l[3],u.boxEnd[0]=u.boxStart[0]+(l[3]-u.boxStart[1])/Math.abs(_))):(u.boxEnd[0]=u.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),u.boxEnd[0]<l[0]?(u.boxEnd[0]=l[0],u.boxEnd[1]=u.boxStart[1]+(l[0]-u.boxStart[0])*Math.abs(_)):u.boxEnd[0]>l[2]&&(u.boxEnd[0]=l[2],u.boxEnd[1]=u.boxStart[1]+(l[2]-u.boxStart[0])*Math.abs(_)))}}else u.boxEnabled?(a=u.boxStart[0]!==u.boxEnd[0],s=u.boxStart[1]!==u.boxEnd[1],a||s?(a&&(g(0,u.boxStart[0],u.boxEnd[0]),t.xaxis.autorange=!1),s&&(g(1,u.boxStart[1],u.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),u.boxEnabled=!1,u.boxInited=!1):u.boxInited&&(u.boxInited=!1);break;case\"pan\":u.boxEnabled=!1,u.boxInited=!1,e?(u.panning||(u.dragStart[0]=n,u.dragStart[1]=i),Math.abs(u.dragStart[0]-n)<d&&(n=u.dragStart[0]),Math.abs(u.dragStart[1]-i)<d&&(i=u.dragStart[1]),a=(h-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),u.panning=!0,u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations()):u.panning&&(u.panning=!1,t.relayoutCallback())}u.lastPos[0]=n,u.lastPos[1]=i}return u.mouseListener=n(e,f),e.addEventListener(\"touchstart\",(function(t){var r=a(t.changedTouches[0],e);f(0,r[0],r[1]),f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){f(0,u.lastPos[0],u.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),u.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=u.lastPos[0],s=u.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),u}},92568:function(t,e,r){\"use strict\";var n=r(54460),i=r(43080);function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,a,o,l,u,c,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;u=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!u,l=this.hasAxisInAltrPos(e,r)&&!u,a=r.mirror||!1,c=u?-1!==String(a).indexOf(\"all\"):!!a,f=u?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||c)&&(this.borderLineEnable[h]=r.showline),(l||c)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=1.5,n=e.title.font.size,i=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?n*(r+(i?1:0))-10:n*(r+(i?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+n*(r+(i?1:.5)):10+n*(r+(i?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},t.exports=function(t){return new a(t)}},39952:function(t,e,r){\"use strict\";var n=r(67824).overrideAll,i=r(17188),a=r(64859),o=r(9616),s=r(33816),l=r(57952),u=r(65460),c=r(84888).op;e.name=\"gl2d\",e.attr=[\"xaxis\",\"yaxis\"],e.idRoot=[\"x\",\"y\"],e.idRegex=s.idRegex,e.attrRegex=s.attrRegex,e.attributes=r(26720),e.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},e.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),e.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:u.hoverlabel},\"plot\",\"nested\"),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=c(r,\"gl2d\",o),u=s._scene2d;void 0===u&&(u=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=u),u.plot(l,t.calcdata,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];s._scene2d&&0===c(t,\"gl2d\",o).length&&(s._scene2d.destroy(),delete n._plots[o])}l.clean.apply(this,arguments)},e.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++)e._plots[r[n]]._scene2d.updateFx(e.dragmode)}},17188:function(t,e,r){\"use strict\";var n,i,a=r(24040),o=r(54460),s=r(93024),l=r(67792).gl_plot2d,u=r(67792).gl_spikes2d,c=r(67792).gl_select_box,f=r(5408),h=r(92568),p=r(2428),d=r(16576),v=r(71888),g=v.enforce,y=v.clean,m=r(19280).doAutoRange,x=r(72760),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=r(33816).SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=u(this.glplot),this.selectBox=c(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}t.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r);var a=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var u=0;u<4;++u){var c=a[4*(r*o+l)+u];a[4*(r*o+l)+u]=a[4*(r*s+l)+u],a[4*(r*s+l)+u]=c}var f=document.createElement(\"canvas\");f.width=r,f.height=i;var h,p=f.getContext(\"2d\",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":h=f.toDataURL(\"image/jpeg\");break;case\"webp\":h=f.toDataURL(\"image/webp\");break;default:h=f.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var u=n[r._name];u.range=s,u.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};y(s,this.xaxis),y(s,this.yaxis);var l,u,c=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[c.l+f[0]*c.w,c.b+h[0]*c.h,i-c.r-(1-f[1])*c.w,a-c.t-(1-h[1])*c.h],this.mouseContainer.style.width=c.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=c.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=c.h*(h[1]-h[0]),this.mouseContainer.style.left=c.l+f[0]*c.w+\"px\",this.mouseContainer.style.top=c.t+(1-h[1])*c.h+\"px\",u=0;u<2;++u)(l=this[w[u]])._length=o.viewBox[u+2]-o.viewBox[u],m(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],u=this.traces[i.uid];u?u.update(i,l):(u=i._module.plot(this,i,l),this.traces[i.uid]=u)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var u=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],c=0;c<2;c++)e.boxStart[c]===e.boxEnd[c]&&(u[c]=t.dataBox[c],u[c+2]=t.dataBox[c+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var v=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),v.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var g=this.fullData[v.trace.index]||{},y=v.pointIndex,m=s.castHoverinfo(g,i,y);if(m&&\"all\"!==m){var x=m.split(\"+\");-1===x.indexOf(\"x\")&&(v.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(v.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(v.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(v.textLabel=void 0),-1===x.indexOf(\"name\")&&(v.name=void 0)}s.loneHover({x:v.screenCoord[0],y:v.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",v.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",v.traceCoord[1]),zLabel:v.traceCoord[2],text:v.textLabel,name:v.name,color:s.castHoverOption(g,y,\"bgcolor\")||v.color,borderColor:s.castHoverOption(g,y,\"bordercolor\"),fontFamily:s.castHoverOption(g,y,\"font.family\"),fontSize:s.castHoverOption(g,y,\"font.size\"),fontColor:s.castHoverOption(g,y,\"font.color\"),nameLength:s.castHoverOption(g,y,\"namelength\"),textAlign:s.castHoverOption(g,y,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},12536:function(t,e,r){\"use strict\";var n=r(67824).overrideAll,i=r(65460),a=r(98432),o=r(84888).op,s=r(3400),l=r(9616),u=\"gl3d\",c=\"scene\";e.name=u,e.attr=c,e.idRoot=c,e.idRegex=e.attrRegex=s.counterRegex(\"scene\"),e.attributes=r(6636),e.layoutAttributes=r(346),e.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),e.supplyLayoutDefaults=r(5208),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots[u],i=0;i<n.length;i++){var s=n[i],l=o(r,u,s),c=e[s],f=c.camera,h=c._scene;h||(h=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:f},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:f.up.x,y:f.up.y,z:f.up.z},eye:{x:f.eye.x,y:f.eye.y,z:f.eye.z},center:{x:f.center.x,y:f.center.y,z:f.center.z}}),h.plot(l,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots[u]||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},e.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),c+e}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=0;n<r.length;n++)e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}},6636:function(t){\"use strict\";t.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},86140:function(t,e,r){\"use strict\";var n=r(76308),i=r(94724),a=r(92880).extendFlat,o=r(67824).overrideAll;t.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,autorangeoptions:{minallowed:i.autorangeoptions.minallowed,maxallowed:i.autorangeoptions.maxallowed,clipmin:i.autorangeoptions.clipmin,clipmax:i.autorangeoptions.clipmax,include:i.autorangeoptions.include,editType:\"plot\"},rangemode:i.rangemode,minallowed:i.minallowed,maxallowed:i.maxallowed,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.minor.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,labelalias:i.labelalias,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},64380:function(t,e,r){\"use strict\";var n=r(49760).mix,i=r(3400),a=r(31780),o=r(86140),s=r(14944),l=r(28336),u=[\"xaxis\",\"yaxis\",\"zaxis\"];t.exports=function(t,e,r){var c,f;function h(t,e){return i.coerce(c,f,o,t,e)}for(var p=0;p<u.length;p++){var d=u[p];c=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(c,f,h,r),l(c,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noAutotickangles:!0,noTickson:!0,noTicklabelmode:!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 P=[];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:P}),L.bbox=P[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 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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 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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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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,P=s.radialAxis,O=E.clampTiny,I=E.findXYatLength,z=E.findEnclosingVertexAngles,D=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*D);var 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p=c._fullLayout._invTransform;e=c._fullLayout._invScaleX,r=c._fullLayout._invScaleY;var d=o.apply3DTransform(p)(n-f.left,a-f.top);if(B=d[0],N=d[1],C){var y=E.findPolygonOffset(v,L[0],L[1],C);B+=A+y[0],N+=M+y[1]}switch(l){case\"zoom\":Y.clickFn=st,u||(Y.moveFn=C?it:rt,Y.doneFn=at,function(){j=null,U=null,V=s.pathSubplot(),q=!1;var t=c._fullLayout[s.id];H=i(t.bgcolor).getLuminance(),(G=g.makeZoombox(h,H,T,k,V)).attr(\"fill-rule\",\"evenodd\"),W=g.makeCorners(h,T,k),w(c)}());break;case\"select\":case\"lasso\":b(t,n,a,Y,l)}},y.init(Y)},N.updateRadialDrag=function(t,e,r){var i=this,u=i.gd,c=i.layers,f=i.radius,h=i.innerRadius,p=i.cx,d=i.cy,v=i.radialAxis,m=S.radialDragBoxSize,x=m/2;if(v.visible){var b,_,T,M=R(i.radialAxisAngle),E=v._rl,L=E[0],C=E[1],P=E[r],O=.75*(E[1]-E[0])/(1-i.getHole(e))/f;r?(b=p+(f+x)*Math.cos(M),_=d-(f+x)*Math.sin(M),T=\"radialdrag\"):(b=p+(h-x)*Math.cos(M),_=d-(h-x)*Math.sin(M),T=\"radialdrag-inner\");var I,z,D,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,z=null,D=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!==z?t[i.id+\".radialaxis.angle\"]=z:null!==D&&(t[i.id+\".radialaxis.range[\"+r+\"]\"]=D)}(l),u.emit(\"plotly_relayouting\",l)}function q(){null!==z?a.call(\"_guiRelayout\",u,i.id+\".radialaxis.angle\",z):null!==D&&a.call(\"_guiRelayout\",u,i.id+\".radialaxis.range[\"+r+\"]\",D)}function H(t,e){if(0!==r){var n=b+t,a=_+e;z=Math.atan2(d-a,n-p),i.vangles&&(z=U(z,i.vangles)),z=F(z);var o=l(p,d)+s(-z);c[\"radial-axis\"].attr(\"transform\",o),c[\"radial-line\"].select(\"line\").attr(\"transform\",o);var 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i=t[0].trace,o=\"h\"===i.orientation,s=\"waterfall\"===i.type,l=\"funnel\"===i.type;function u(t){return c(o?r:n,+t,!0).text}var f,h,p=i.textinfo,d=t[e],v=p.split(\"+\"),g=[],y=function(t){return-1!==v.indexOf(t)};if(y(\"label\")&&g.push((h=t[e].p,c(o?n:r,h,!0).text)),y(\"text\")&&(0===(f=a.castOption(i,d.i,\"text\"))||f)&&g.push(f),s){var m=+d.rawS||d.s,x=d.v,b=x-m;y(\"initial\")&&g.push(u(b)),y(\"delta\")&&g.push(u(m)),y(\"final\")&&g.push(u(x))}if(l){y(\"value\")&&g.push(u(d.s));var _=0;y(\"percent initial\")&&_++,y(\"percent previous\")&&_++,y(\"percent total\")&&_++;var w=_>1;y(\"percent initial\")&&(f=a.formatPercent(d.begR),w&&(f+=\" of initial\"),g.push(f)),y(\"percent previous\")&&(f=a.formatPercent(d.difR),w&&(f+=\" of previous\"),g.push(f)),y(\"percent total\")&&(f=a.formatPercent(d.sumR),w&&(f+=\" of total\"),g.push(f))}return g.join(\"<br>\")}(e,r,n,i):v.getValue(s.text,r),v.coerceString(m,o)}(I,n,i,S,O);k=function(t,e){var r=v.getValue(t.textposition,e);return v.coerceEnumerated(x,r)}(D,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],D),G=d.getInsideTextFont(D,i,q,H),W=d.getOutsideTextFont(D,i,q),Y=D.insidetextanchor||\"end\",X=r.datum();R?\"log\"===S.type&&X.s0<=0&&(s=S.range[0]<S.range[1]?0:S._length):\"log\"===O.type&&X.s0<=0&&(f=O.range[0]<O.range[1]?O._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=z(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,$,R),at&&it?k=\"inside\":(k=\"outside\",Z.remove(),Z=null)}else k=\"inside\";if(!Z){var ot=(Z=z(r,F,Q=a.ensureUniformFontSize(t,\"outside\"===k?W:G))).attr(\"transform\");if(Z.attr(\"transform\",\"\"),J=(K=l.bBox(Z.node())).width,$=K.height,Z.attr(\"transform\",ot),J<=0||$<=0)return void Z.remove()}var st,lt=D.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\"===D.constraintext||\"outside\"===D.constraintext,angle:lt}):P(s,u,f,p,K,{isHorizontal:R,constrained:\"both\"===D.constraintext||\"inside\"===D.constraintext,angle:lt,anchor:Y,hasB:U,r:g,overhead:y}),st.fontSize=Q.size,h(\"histogram\"===D.type?\"bar\":D.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,O,f.xcalendar,f.ycalendar)}));var W=!1===f.cliponaxis;l.setClipUrl(u,W?null:e.layerClipId,t)}));u.getComponentMethod(\"errorbars\",\"plot\")(t,D,e,g)},toMoveInsideBar:P}},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 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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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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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O=C.selectAll(\"text\").data(P);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)}}O.enter().append(\"text\"),O.attr(\"text-anchor\",(function(){return A})).attr(\"class\",(function(t){return t})).attr(\"x\",null).attr(\"y\",null).attr(\"dx\",null).attr(\"dy\",null),O.exit().remove();var z,D=v.mode+v.align;if(v._hasDelta&&(z=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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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(P).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(P).call(T),Y.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:W,layer:Y,size:B,gaugeBg:C,gaugeOutline:P,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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O=f.selectAll(\"g.value-bullet\").data([c.gauge.bar]);O.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),O.select(\"rect\").attr(\"height\",M).attr(\"y\",(A-M)/2).call(T),w(b)?O.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)))):O.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),O.exit().remove();var I=r.filter((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 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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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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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n=r(33428),i=r(67756).Gz,a=r(36424),o=r(93024),s=r(3400),l=s.strTranslate,u=r(43616),c=r(49760),f=r(72736);function h(t,e,r,i){var a=e._context.staticPlot,o=t.map(F.bind(0,e,r)),c=i.selectAll(\"g.parcatslayer\").data([null]);c.enter().append(\"g\").attr(\"class\",\"parcatslayer\").style(\"pointer-events\",a?\"none\":\"all\");var h=c.selectAll(\"g.trace.parcats\").data(o,p),m=h.enter().append(\"g\").attr(\"class\",\"trace parcats\");h.attr(\"transform\",(function(t){return l(t.x,t.y)})),m.append(\"g\").attr(\"class\",\"paths\");var x=h.select(\"g.paths\").selectAll(\"path.path\").data((function(t){return t.paths}),p);x.attr(\"fill\",(function(t){return t.model.color}));var w=x.enter().append(\"path\").attr(\"class\",\"path\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",0);_(w),x.attr(\"d\",(function(t){return 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z=E.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);E.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(z),E.exit().remove(),S.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var D=e._fullLayout.paper_bgcolor;M.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(D)).style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){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\",P).on(\"drag\",O).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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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=z(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=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 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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={weight:l.font.weight,style:l.font.style,variant:l.font.variant,family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(c,\"labelfont\",y),n.coerceFont(c,\"tickfont\",y),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 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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;return{color:n||o.contrast(e.color),family:i,size:a,weight:s,style:l,variant:u}}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 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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=O(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=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function O(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-=P(i,e));var u=s/2,c=l/2;\"funnelarea\"!==a.type||a.scalegroup||(c/=a.aspectratio),i.r=Math.min(u,c)/(1+O(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if((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 z(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function D(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,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=z(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=z(a,s),r.midangle=s,n=z(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])+P(i.px0,i.pxmid,!0,1)+P(i.pxmid,i.px0,!0,1)+\"Z\";k?d.attr(\"d\",\"M\"+(u+k*i.px0[0])+\",\"+(c+k*i.px0[1])+P(i.px0,i.pxmid,!1,k)+P(i.pxmid,i.px0,!1,k)+\"Z\"+A):d.attr(\"d\",A)}else{var M=P(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr(\"d\",\"M\"+(u+k*i.px1[0])+\",\"+(c+k*i.px1[1])+P(i.px1,i.px0,!1,k)+\"l\"+S*i.px0[0]+\",\"+S*i.px0[1]+M+\"Z\")}else d.attr(\"d\",\"M\"+u+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+M+\"Z\")}D(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}}(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:z(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 P(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]),P=(.5*S-v.r)/h.w,O=(.5*E-v.r)/h.h;i.autoMargin(t,\"pie.\"+y.uid+\".automargin\",{xl:M.x[0]-P,xr:M.x[1]+P,yb:M.y[0]-O,yt:M.y[1]+O,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:D,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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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 P=A.nodes[w].y1-A.nodes[w].y0;A.nodes[w].y0=C[1]-P/2,A.nodes[w].y1=C[1]+P/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 P(t){t.attr(\"width\",(function(t){return t.node.x1-t.node.x0})).attr(\"height\",(function(t){return t.visibleHeight}))}function O(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 z(t,e,r){t.on(\".basic\",null).on(\"mouseover.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])})).on(\"mousemove.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])})).on(\"mouseout.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)})).on(\"click.basic\",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)}))}function D(t,e,r,i){var o=a.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on(\"dragstart\",(function(a){if(\"fixed\"!==a.arrangement&&(h.ensureSingle(i._fullLayout._infolayer,\"g\",\"dragcover\",(function(t){i._fullLayout._dragCover=t})),h.raiseToTop(this),a.interactionState.dragInProgress=a.node,F(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),\"snap\"===a.arrangement)){var o=a.traceId+\"|\"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,i){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var a=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=n.forceSimulation(a).alphaDecay(0).force(\"collide\",n.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(l.forceIterations)).force(\"constrain\",function(t,e,r,n){return function(){for(var t=0,i=0;i<r.length;i++){var a=r[i];a===n.interactionState.dragInProgress?(a.x=a.lastDraggedX,a.y=a.lastDraggedY):(a.vx=(a.originalX-a.x)/l.forceTicksPerFrame,a.y=Math.min(n.size-a.dy/2,Math.max(a.dy/2,a.y))),t=Math.max(t,Math.abs(a.vx),Math.abs(a.vy))}!n.interactionState.dragInProgress&&t<.1&&n.forceLayouts[e].alpha()>0&&n.forceLayouts[e].alpha(0)}}(0,e,a,r)).stop()}(0,o,a),function(t,e,r,n,i){window.requestAnimationFrame((function a(){var o;for(o=0;o<l.forceTicksPerFrame;o++)r.forceLayouts[n].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),C(t.filter(B(r)),e),r.forceLayouts[n].alpha()>0)window.requestAnimationFrame(a);else{var 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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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n=r(21776).Ks,i=r(21776).Gw,a=r(98304),o=r(52904),s=r(45464),l=r(49084),u=r(98192).u,c=r(92880).extendFlat,f=r(67824).overrideAll,h=o.marker,p=o.line,d=h.line;t.exports=f({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,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));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,P=!!y.yperiodalignment;for(c=0;c<i.length;c++){if(l=b[a=i[c]],f=Math.abs(m.c2p(l)-w),C){var O=m.c2p(y._xStarts[a]),I=m.c2p(y._xEnds[a]);f=w>=Math.min(O,I)&&w<=Math.max(O,I)?0:1/0}if(f<L){if(L=f,u=_[a],h=x.c2p(u)-T,P){var z=x.c2p(y._yStarts[a]),D=x.c2p(y._yEnds[a]);h=T>=Math.min(z,D)&&T<=Math.max(z,D)?0:1/0}d=Math.sqrt(f*f+h*h),s=i[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,P=L.t,O=P.index,I=C._length,z=P.x,D=P.y;if(C.selectedpoints||S||E){if(S||(S=!0),C.selectedpoints){var R=m.selectBatch[O]=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[O]=B}var N=P.xpx=new Array(I),j=P.ypx=new Array(I);for(g=0;g<I;g++)N[g]=x.c2p(z[g]),j[g]=b.c2p(D[g])}else P.xpx=P.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(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},P=function(t){return\"x\"===t?M:\"y\"===t?S:E},O=function(t){return t[m-1]<t[0]?-1:1},I=C(A[1]),z=C(A[3]),D=C(A[5]),R=P(A[1]).length,F=P(A[3]).length,B=P(A[5]).length,N=!1,j=function(t,e,r){return R*(F*t+e)+r},U=O(C(A[1])),V=O(C(A[3])),q=O(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&&z[H]*V<z[W]*V&&D[H]*q<D[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 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 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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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m=\"contours.\"+y[c],x=h(m+\".show\"),b=h(m+\".highlight\");if(x||b)for(f=0;f<3;++f)h(m+\".project.\"+y[f]);x&&(h(m+\".color\"),h(m+\".width\"),h(m+\".usecolormap\")),b&&(h(m+\".highlightcolor\"),h(m+\".highlightwidth\")),h(m+\".start\"),h(m+\".end\"),h(m+\".size\")}g||(l(t,\"zmin\",\"cmin\"),l(t,\"zmax\",\"cmax\"),l(t,\"zauto\",\"cauto\")),a(t,e,u,h,{prefix:\"\",cLetter:\"c\"}),s(0,e,0,h),e._length=null}},opacityscaleDefaults:s}},91304:function(t,e,r){\"use strict\";t.exports={attributes:r(16716),supplyDefaults:r(60192).supplyDefaults,colorbar:{min:\"cmin\",max:\"cmax\"},calc:r(56576),plot:r(79164),moduleType:\"trace\",name:\"surface\",basePlotModule:r(12536),categories:[\"gl3d\",\"2dMap\",\"showLegend\"],meta:{}}},60520:function(t,e,r){\"use strict\";var 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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\",cn:{table:\"table\",tableControlView:\"table-control-view\",scrollBackground:\"scroll-background\",yColumn:\"y-column\",columnBlock:\"column-block\",scrollAreaClip:\"scroll-area-clip\",scrollAreaClipRect:\"scroll-area-clip-rect\",columnBoundary:\"column-boundary\",columnBoundaryClippath:\"column-boundary-clippath\",columnBoundaryRect:\"column-boundary-rect\",columnCells:\"column-cells\",columnCell:\"column-cell\",cellRect:\"cell-rect\",cellText:\"cell-text\",cellTextHolder:\"cell-text-holder\",scrollbarKit:\"scrollbar-kit\",scrollbar:\"scrollbar\",scrollbarSlider:\"scrollbar-slider\",scrollbarGlyph:\"scrollbar-glyph\",scrollbarCaptureZone:\"scrollbar-capture-zone\"}}},55992:function(t,e,r){\"use strict\";var n=r(23536),i=r(92880).extendFlat,a=r(38248),o=r(38116).isTypedArray,s=r(38116).isArrayOrTypedArray;function l(t){if(s(t)){for(var e=0,r=0;r<t.length;r++)e=Math.max(e,l(t[r]));return e}return t}function u(t,e){return t+e}function c(t){var e,r=t.slice(),n=1/0,i=0;for(e=0;e<r.length;e++)o(r[e])?r[e]=Array.from(r[e]):s(r[e])||(r[e]=[r[e]]),n=Math.min(n,r[e].length),i=Math.max(i,r[e].length);if(n!==i)for(e=0;e<r.length;e++){var a=i-r[e].length;a&&(r[e]=r[e].concat(f(a)))}return r}function f(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=\"\";return e}function h(t){return t.calcdata.columns.reduce((function(e,r){return r.xIndex<t.xIndex?e+r.columnWidth:e}),0)}function p(t,e){return Object.keys(t).map((function(r){return i({},t[r],{auxiliaryBlocks:e})}))}function d(t,e){for(var r,n={},i=0,a=0,o={firstRowIndex:null,lastRowIndex:null,rows:[]},s=0,l=0,u=0;u<t.length;u++)r=t[u],o.rows.push({rowIndex:u,rowHeight:r}),((a+=r)>=e||u===t.length-1)&&(n[i]=o,o.key=l++,o.firstRowIndex=s,o.lastRowIndex=u,o={firstRowIndex:null,lastRowIndex:null,rows:[]},i+=a,s=u+1,a=0);return n}t.exports=function(t,e){var r=c(e.cells.values),o=function(t){return 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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,P=0|o[7],O=8191&P,I=P>>>13,z=0|o[8],D=8191&z,R=z>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,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(O,U),i=(i=Math.imul(O,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(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(O,H)|0,i=(i=i+Math.imul(O,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(D,H)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(O,Y)|0,i=(i=i+Math.imul(O,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(D,Y)|0,i=(i=i+Math.imul(D,X)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(O,K)|0,i=(i=i+Math.imul(O,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(D,K)|0,i=(i=i+Math.imul(D,J)|0)+Math.imul(R,K)|0,a=a+Math.imul(R,J)|0,n=n+Math.imul(O,Q)|0,i=(i=i+Math.imul(O,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(D,Q)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,i=(i=i+Math.imul(O,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(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(O,at)|0,i=(i=i+Math.imul(O,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(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,i=(i=i+Math.imul(O,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(D,lt)|0,i=(i=i+Math.imul(D,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(O,ft)|0,i=(i=i+Math.imul(O,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Pt=(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)+(Pt>>>26)|0,Pt&=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(D,ft)|0,i=(i=i+Math.imul(D,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Ot=(u+(n=n+Math.imul(O,dt)|0)|0)+((8191&(i=(i=i+Math.imul(O,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=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(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,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 zt=(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)+(zt>>>26)|0,zt&=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]=Pt,l[16]=Ot,l[17]=It,l[18]=zt,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 c(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]);function u(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function c(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 f=c.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),u=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]})),c=!1,f=!1;if(\"bounds\"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if(\"ticks\"in t)for(r=t.ticks,c=!0,this.autoTicks=!1,p=0;p<3;++p)this.tickSpacing[p]=0;else a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),f=!0,c=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),c=!0),c){for(p=0;p<3;++p)r[p].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 v=l(\"labels\");l(\"labelFont\")&&(v=!0),l(\"labelFontStyle\")&&(v=!0),l(\"labelFontWeight\")&&(v=!0),l(\"labelFontVariant\")&&(v=!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 g=[{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]}],y=[{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&&(v||c)&&this._text.update(this.bounds,this.labels,g,this.ticks,y):this._text=n(this.gl,this.bounds,this.labels,g,this.ticks,y),this._lines&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,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 v=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var y=[0,0,0],m=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),f=c.cubeEdges,h=c.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E,L,C=v;for(A=0;A<3;++A)this.backgroundEnable[A]?C[A]=h[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 P=[0,0,0];h[A]>0?P[A]=a[1][A]:P[A]=a[0][A];for(var O=0;O<2;++O){var I=(A+1+O)%3,z=(A+1+(1^O))%3;this.gridEnable[I]&&this._lines.drawGrid(I,z,this.bounds,P,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(O=0;O<2;++O)I=(A+1+O)%3,z=(A+1+(1^O))%3,this.zeroEnable[z]&&Math.min(a[0][z],a[1][z])<=0&&Math.max(a[0][z],a[1][z])>=0&&this._lines.drawZero(I,z,this.bounds,P,this.zeroLineColor[z],this.zeroLineWidth[z]*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 D=u(y,M[A].primalMinor),R=u(m,M[A].mirrorMinor),F=this.lineTickLength;for(O=0;O<3;++O){var B=k/r[5*O];D[O]*=F[O]*B,R[O]*=F[O]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,D,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=u(x,M[A].primalOffset);for(O=0;O<3;++O)this.lineTickEnable[A]&&(q[O]+=k*U[O]*Math.max(this.lineTickLength[O],0)/r[5*O]);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),O=0;O<3;++O)q[O]+=k*U[O]*this.tickPad[O]/r[5*O];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]),O=0;O<3;++O)q[O]+=k*U[O]*this.labelPad[O]/r[5*O];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()},f.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 P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);o(u[I],u[P],u[O],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);var I,z=d([l[I],l[P],l[O],l[I+(1<<M)+(1<<S)]]);C?E=z:L=z}L>E&&(w|=1<<A)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||u[R][1]>u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<<x)!==w&&N!==D&&(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!==D&&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===D?(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}\"]),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}\"]),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 P=m?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var O=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(O[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],P=v[x],O=n.length(P)*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(P),a.vectors.push(P),a.vectors.push(P),a.vectors.push(P),a.vectors.push(P),a.vectors.push(P),a.vertexIntensity.push(O,O,O),a.vertexIntensity.push(O,O,O);var z=a.positions.length;a.cells.push([z-6,z-5,z-4],[z-3,z-2,z-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 P,O;l?(P=x*(o[C]-c),O=x*(o[C+1]-c)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-c):x*(o[C]-(o[C]-o[C-1])/2-c),O=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 z,D;l?(z=m*(r[I]-u),D=m*(r[I+1]-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),D=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*z+.5*D,k[2*S+1]=.5*P+.5*O,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,P=t.vertexIntensity,O=t.cellUVs,I=t.cellIntensity,z=1/0,D=-1/0;if(!C&&!O)if(P)if(t.vertexIntensityBounds)z=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];z=Math.min(z,F),D=Math.max(D,F)}else if(I)if(t.cellIntensityBounds)z=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<I.length;++R)F=I[R],z=Math.min(z,F),D=Math.max(D,F);else for(R=0;R<n.length;++R)F=n[R][2],z=Math.min(z,F),D=Math.max(D,F);this.intensity=P||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&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[Y]-z)/(D-z),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]:P?[(P[Y]-z)/(D-z),0]:O?O[R]:I?[(I[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),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&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[Y]-z)/(D-z),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]:P?[(P[Y]-z)/(D-z),0]:O?O[R]:I?[(I[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),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&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[Y]-z)/(D-z),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]:P?[(P[Y]-z)/(D-z),0]:O?O[R]:I?[(I[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),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),P=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}]),O=i(t),I=i(t),z=i(t),D=i(t),R=i(t),F=a(t,[{buffer:O,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:I,type:t.FLOAT,size:4},{buffer:z,type:t.FLOAT,size:2},{buffer:D,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,P,O,R,I,z,D,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,P=6*f[0].length,O=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),z=0+6*O,D=6*Math.max(0,I-O),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(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,D&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D)),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,D&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],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=[],P=[],O=!0,I=!0,z={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},D=(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:D,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:z,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\",O=!0}}}function j(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,D);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function 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||{},O=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),O=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),O=!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<P.length;++t)P[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=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&F._prevButtons)F._mouseRotating=!0;else{F._mouseRotating&&(I=!0),F._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[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),O=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),O=!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();z.view=F.camera.matrix,O=O||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,O=O||!!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,O=O||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(D[0]=T,D[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=P.length,n=0;n<e;++n){var i=P[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(z))}i.end()}}}()),F.axesPixels=a(F.axes,z,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(z)),S.axes=A,x.object&&S.draw(z),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(z),C.isTransparent&&C.isTransparent()&&(M=!0);if(M){for(b.shape=D,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(z),o=0;o<e;++o)(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(z);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(z),o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(z)}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(O=!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||(O=!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];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function g(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 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}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 g(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 y=g.prototype;y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},y.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 m=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function C(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,d=e.axesBounds,v=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],m[0]=2/o.drawingBufferWidth,m[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=m,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=v,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var y=T,L=0;L<16;++L)y[L]=0;for(L=0;L<4;++L)y[5*L]=1;y[5*g]=0,i[g]<0?y[12+g]=d[0][g]:y[12+g]=d[1][g],s(y,u,y),l.model=y;var C=(g+1)%3,P=(g+2)%3,O=M(x),I=M(b);O[C]=1,I[P]=1;var z=p(0,0,0,S(_,O)),D=p(0,0,0,S(w,I));if(Math.abs(z[1])>Math.abs(D[1])){var R=z;z=D,D=R,R=O,O=I,I=R;var F=C;C=P,P=F}z[0]<0&&(O[C]=-1),D[1]>0&&(I[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(u[4*C+L],2),N+=Math.pow(u[4*P+L],2);O[C]/=Math.sqrt(B),I[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=I,l.fragClipBounds[0]=E(k,v[0],g,-1e8),l.fragClipBounds[1]=E(k,v[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(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,m[0]=2/l.drawingBufferWidth,m[1]=2/l.drawingBufferHeight,u.screenSize=m,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=L,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 P(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=c(a);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],P=(l-M)/(S-M),O=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.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 z=i[b+w+k],D=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,z,B,P),n.lerp(q,D,N,P),n.lerp(H,R,j,P),n.lerp(G,F,U,P);var W=n.create(),Y=n.create();n.lerp(W,V,H,O),n.lerp(Y,q,G,O);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 P=[C],O=[],I=d(C),z=C;O.push(I);var D=[],R=v(C,I),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),g.push({points:P,velocities:O,divergences:D});for(var B=0;B<100*u&&P.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(z,N)-A>-1e-4*A&&(P.push(N),z=N,O.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),D.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  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color — in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);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],P={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 O(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=P.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var u=P.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 P.showSurface=o,P.showContour=s,P}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},z=T.slice(),D=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=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=D,n.vertexColor=this.vertexColor;var s=z;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=O(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=D;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=O(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),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,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,y,0,E*P),b.set(o,y,1,L*P),b.set(o,y,2,C*P)}s.free(x.data);var O=[1/0,1/0,1/0],I=[-1/0,-1/0,-1/0],z=1/0,D=-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,O[0]=Math.min(O[0],X+this.objectOffset[0]),O[1]=Math.min(O[1],Z+this.objectOffset[1]),O[2]=Math.min(O[2],G+this.objectOffset[2]),z=Math.min(z,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]),D=Math.max(D,K),U+=1}}for(t.intensityBounds&&(z=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<N;o+=10)F[o]=(F[o]-z)/(D-z);this._vertexCount=U,this._coordinateBuffer.update(F.subarray(0,N)),s.freeFloat(F),s.free(b.data),this.bounds=[O,I],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===z&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[z,D]}if(\"levels\"in t){var 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,P=k*E,O=T*L,I=T*E,z=C*f.get(_,M)+P*f.get(_,S)+O*f.get(w,M)+I*f.get(w,S),D=C*p.get(_,M)+P*p.get(_,S)+O*p.get(w,M)+I*p.get(w,S);if(isNaN(z)||isNaN(D)){m&&(n-=1);break}a[2*n+0]=z,a[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},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 if(2===p[2])g=t.LUMINANCE_ALPHA;else if(3===p[2])g=t.RGB;else{if(4!==p[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");g=t.RGBA}p[2]}if(g!==t.LUMINANCE&&g!==t.ALPHA||s!==t.LUMINANCE&&s!==t.ALPHA||(g=s),g!==s)throw new Error(\"gl-texture2d: Incompatible texture format for setPixels\");var m=f.size,x=u.indexOf(o)<0;if(x&&u.push(o),v===l&&y)0===f.offset&&f.data.length===m?x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,f.data):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,f.data):x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,f.data.subarray(f.offset,f.offset+m)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,f.data.subarray(f.offset,f.offset+m));else{var b;b=l===t.FLOAT?a.mallocFloat32(m):a.mallocUint8(m);var 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i=this.computedMatrix,a=(Math.exp(this.computedRadius[0]),i[1]),o=i[5],s=i[9],l=u(a,o,s);a/=l,o/=l,s/=l;var c=i[0],f=i[4],h=i[8],p=c*a+f*o+h*s,d=u(c-=a*p,f-=o*p,h-=s*p),v=(c/=d)*e+a*r,g=(f/=d)*e+o*r,y=(h/=d)*e+s*r;this.center.move(t,v,g,y);var m=Math.exp(this.computedRadius[0]);m=Math.max(1e-4,m+n),this.radius.set(t,Math.log(m))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,n){var a=1;\"number\"==typeof r&&(a=0|r),(a<0||a>3)&&(a=1);var o=(a+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[a],l=e[a+4],f=e[a+8];if(n){var h=Math.abs(s),p=Math.abs(l),d=Math.abs(f),v=Math.max(h,p,d);h===v?(s=s<0?-1:1,l=f=0):d===v?(f=f<0?-1:1,s=l=0):(l=l<0?-1:1,s=f=0)}else{var g=u(s,l,f);s/=g,l/=g,f/=g}var y,m,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*f,T=u(x-=s*w,b-=l*w,_-=f*w),k=l*(_/=T)-f*(b/=T),A=f*(x/=T)-s*_,M=s*b-l*x,S=u(k,A,M);if(k/=S,A/=S,M/=S,this.center.jump(t,H,G,W),this.radius.idle(t),this.up.jump(t,s,l,f),this.right.jump(t,x,b,_),2===a){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 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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]&&\"$type\"!==t[1];case\"in\":return t.length>=3&&(\"string\"!=typeof t[1]||Array.isArray(t[2]));case\"!in\":case\"!has\":case\"none\":return!1;case\"==\":case\"!=\":case\">\":case\">=\":case\"<\":case\"<=\":return 3!==t.length||Array.isArray(t[1])||Array.isArray(t[2]);case\"any\":case\"all\":for(var e=0,r=t.slice(1);e<r.length;e+=1){var n=r[e];if(!Tn(n)&&\"boolean\"!=typeof n)return!1}return!0;default:return!0}}vn.deserialize=function(t){return new vn(t._parameters,t._specification)},vn.serialize=function(t){return{_parameters:t._parameters,_specification:t._specification}};var kn={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function An(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};Tn(t)||(t=En(t));var e=fn(t,kn);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:Sn(t)}}function Mn(t,e){return t<e?-1:t>e?1:0}function Sn(t){if(!Array.isArray(t))return!1;if(\"within\"===t[0])return!0;for(var e=1;e<t.length;e++)if(Sn(t[e]))return!0;return!1}function En(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?Ln(t[1],t[2],\"==\"):\"!=\"===r?On(Ln(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?Ln(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(En))):\"all\"===r?[\"all\"].concat(t.slice(1).map(En)):\"none\"===r?[\"all\"].concat(t.slice(1).map(En).map(On)):\"in\"===r?Cn(t[1],t.slice(2)):\"!in\"===r?On(Cn(t[1],t.slice(2))):\"has\"===r?Pn(t[1]):\"!has\"===r?On(Pn(t[1])):\"within\"!==r||t}function Ln(t,e,r){switch(t){case\"$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\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(Mn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function Pn(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function On(t){return[\"!\",t]}function In(t){return Tn(Vt(t.value))?_n(jt({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):zn(t)}function zn(t){var e=t.value,r=t.key;if(\"array\"!==Qr(e))return[new Bt(r,e,\"array expected, \"+Qr(e)+\" found\")];var n,i=t.styleSpec,a=[];if(e.length<1)return[new Bt(r,e,\"filter array must have at least 1 element\")];switch(a=a.concat(wn({key:r+\"[0]\",value:e[0],valueSpec:i.filter_operator,style:t.style,styleSpec:t.styleSpec})),Ut(e[0])){case\"<\":case\"<=\":case\">\":case\">=\":e.length>=2&&\"$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(zn({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 Dn(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 zt(\"pluginStateChange\",{pluginStatus:Mi,pluginURL:Si}))}var Ci=new Rt,Pi=function(){return Mi},Oi=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}},zi=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={})};zi.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())},zi.prototype.crossFadingFactor=function(){return 0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},zi.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 Di=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)};Di.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},Di.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var Ri=function(t){this.property=t,this.value=new Di(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 Di(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 Di(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 ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Qi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var ra=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Qi);ra.prototype.bytesPerElement=4,oi(\"StructArrayLayout2i4\",ra);var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=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 instanceof Ui&&Kr(a.property.specification)){var o=fo(i,t.type),s=a.value,l=a.property.specification.type,u=a.property.useIntegerZoom,c=a.property.specification[\"property-type\"],f=\"cross-faded\"===c||\"cross-faded-data-driven\"===c;if(\"constant\"===s.kind)this.binders[i]=f?new ao(s.value,o):new io(s.value,o,l),n.push(\"/u_\"+i);else if(\"source\"===s.kind||f){var h=ho(i,l,\"source\");this.binders[i]=f?new lo(s,l,u,e,h,t.id):new oo(s,o,l,h),n.push(\"/a_\"+i)}else{var p=ho(i,l,\"composite\");this.binders[i]=new so(s,o,l,u,e,p),n.push(\"/z_\"+i)}}}this.cacheKey=n.sort().join(\"\")};uo.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof oo||e instanceof so?e.maxValue:0},uo.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof oo||o instanceof so||o instanceof lo)&&o.populatePaintArray(t,e,r,n,i)}},uo.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n 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 Da,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 zi(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&&!((O=d).every((function(t){return t.x<0}))||O.every((function(t){return t.x>po}))||O.every((function(t){return t.y<0}))||O.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>Da.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>Da.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),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(k+C[P],k+C[P+2],k+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}var O;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=zo(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,P=A+h,O=M+p,I=S+d,z=new a((k+s)/L,(A+l)/L);z.z=E/L,y.push(z);var D=new a(C/I,P/I);D.z=O/I,m.push(D)}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 Da,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 zi(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),P=k?C:0,O=k?0:C;if(p&&this.addCurrentVertex(c,v,P,O,h),\"fakeround\"===E)for(var I=Math.round(180*w/Math.PI/20),z=1;z<I;z++){var D=z/I;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(v)._mult(D)._add(v)._unit()._mult(k?-1:1);this.addHalfVertex(c,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(c,g,-P,-O,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*Dl),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*Dl),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),Pl(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),Pl(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,P=null,O=null,I=null,z=Ll,D=!(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,O=R.paddedRect;var F=R.displaySize;S.scale=S.scale*Ll/f,P={width:F[0],height:F[1],left:iu,top:-ru,advance:D?F[1]:F[0]},C=w+(Ll-F[1]*S.scale),z=P.advance;var B=D?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)O=j.rect,P=j.metrics;else{var U=e[S.fontStack],V=U&&U[L];if(!V)continue;P=V.metrics}C=(_-S.scale)*Ll}D?(t.verticalizable=!0,k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=z*S.scale+u):(k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=P.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 Pu(t){for(var e=0,r=0;r<t.length-1;r++)e+=t[r].dist(t[r+1]);return e}function Ou(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 zu(t,e,r,n,i,a){for(var 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a(0,0);c.push({tl:z,tr:D,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 Da,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 Da,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 Pa,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 zi(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\"===Pi()||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 P=a.evaluate(T,{},r).join(\",\"),O=\"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,z=k.sections;I<z.length;I+=1){var D=z[I];if(D.image)f[D.image.name]=!0;else{var R=di(k.toString()),F=D.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(D.text,B,O,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,P=b.isSDF,O=b.sectionIndex,I=d.vertexLength,z=C[1];sc(p,s.x,s.y,_.x,z+_.y,A.x,A.y,r,P,M.x,M.y,E,L),sc(p,s.x,s.y,w.x,z+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),sc(p,s.x,s.y,T.x,z+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),sc(p,s.x,s.y,k.x,z+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),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&&O===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,m&&m[O])}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 Pc(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 Oc=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]))};Oc.prototype.setNorthEast=function(t){return this._ne=t instanceof zc?new zc(t.lng,t.lat):zc.convert(t),this},Oc.prototype.setSouthWest=function(t){return this._sw=t instanceof zc?new zc(t.lng,t.lat):zc.convert(t),this},Oc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof zc)e=t,r=t;else{if(!(t instanceof Oc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Oc.convert(a))}var o=t;return this.extend(zc.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 zc(e.lng,e.lat),this._ne=new zc(r.lng,r.lat)),this},Oc.prototype.getCenter=function(){return new zc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Oc.prototype.getSouthWest=function(){return this._sw},Oc.prototype.getNorthEast=function(){return this._ne},Oc.prototype.getNorthWest=function(){return new zc(this.getWest(),this.getNorth())},Oc.prototype.getSouthEast=function(){return new zc(this.getEast(),this.getSouth())},Oc.prototype.getWest=function(){return this._sw.lng},Oc.prototype.getSouth=function(){return this._sw.lat},Oc.prototype.getEast=function(){return this._ne.lng},Oc.prototype.getNorth=function(){return this._ne.lat},Oc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Oc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Oc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Oc.prototype.contains=function(t){var e=zc.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},Oc.convert=function(t){return!t||t instanceof Oc?t:new Oc(t)};var Ic=6371008.8,zc=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\")};zc.prototype.wrap=function(){return new zc(h(this.lng,-180,180),this.lat)},zc.prototype.toArray=function(){return[this.lng,this.lat]},zc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},zc.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))},zc.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 Oc(new zc(this.lng-r,this.lat-e),new zc(this.lng+r,this.lat+e))},zc.convert=function(t){if(t instanceof zc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new zc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new zc(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 Dc=2*Math.PI*Ic;function Rc(t){return Dc*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=zc.convert(t);return new Uc(Fc(r.lng),Bc(r.lat),Nc(e,r.lat))},Uc.prototype.toLngLat=function(){return new zc(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/Dc*(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=Pc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Pc(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 Ol(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(Po(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 zi(this.tileID.overscaledZ),v,this.tileID.canonical))return}else if(!i.filter(new zi(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\"!==Pi()||Oi();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 zi(this.tileID.overscaledZ),d,this.tileID.canonical))continue}else if(!o.filter(new zi(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=Dt,t.EvaluationParameters=zi,t.Event=zt,t.Evented=Rt,t.FeatureIndex=Jc,t.FillBucket=Us,t.FillExtrusionBucket=il,t.ImageAtlas=su,t.ImagePosition=au,t.LineBucket=vl,t.LngLat=zc,t.LngLatBounds=Oc,t.MercatorCoordinate=Uc,t.ONE_EM=Ll,t.OverscaledTileID=Hc,t.Point=a,t.Point$1=a,t.Properties=Xi,t.Protobuf=Ol,t.RGBAImage=$o,t.RequestManager=W,t.RequestPerformance=nf,t.ResourceType=_t,t.SegmentVector=Da,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],P=f.points[C];P.zoom<=e||(P.zoom=e,r.push(P))}}}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),P=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),O=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,O.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 z=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,O.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),D=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,O.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:P,video:z,image:I,canvas:D};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 Pt=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)};Pt.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()},Pt.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},Pt.prototype.createIndexBuffer=function(t,e){return new U(this,t,e)},Pt.prototype.createVertexBuffer=function(t,e,r){return new q(this,t,e,r)},Pt.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},Pt.prototype.createFramebuffer=function(t,e,r){return new At(this,t,e,r)},Pt.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)},Pt.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))},Pt.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)},Pt.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)},Pt.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)},Pt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ot=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(zt(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(zt(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 zt(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function Dt(){return new t.window.Worker(oa.workerUrl)}Ot.maxOverzooming=10,Ot.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 Dt);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),P=C.signedDistanceFromCamera>0?C.point:ue(h,L,S,1,a),O=se(e.writingMode,S,P,d);if(O)return O}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 z=0,D=v;z<D.length;z+=1){var R=D[z];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=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var O=1;O<L.path.length;O++)C.push(L.path[O]);var I=2.5*k;if(l){var z=C.map((function(t){return re(t,l)}));C=z.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:z.map((function(t){return t.point}))}var D=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);D=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=D;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V;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},P=null,O=null,I=0,z=0,D=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=e.featureIndex),a.verticalTextFeatureIndex&&(z=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length&&(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;P=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,W,l,u,c,n,_,v.predicate,X,Y),T=m||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(D=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?(O=Z(a.verticalIconBox)).box.length>0:(O=Z(a.iconBox)).box.length>0,S=S&&O.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&&z?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID)),M&&O&&i.collisionIndex.insertCollisionBox(O.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,v.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.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<P.circles.length;tt+=4)Q.circles.push(P.circles[tt+0]),Q.circles.push(P.circles[tt+1]),Q.circles.push(P.circles[tt+2]),Q.circles.push(P.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 P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.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=ze(y.text),k=_?De:T;d(e.text,s,k);var A=w?De: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=ze(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:De;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var O=C?De:L;d(e.icon,a.numVerticalIconVertices,O),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var z=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var D=!0;if(u){var R=i.variableOffsets[v];R?(z=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&z._rotate(f?i.transform.angle:-i.transform.angle)):D=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!D||_,z.x,z.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!D||w,z.x,z.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?z.x:0,h?z.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?z.x:0,h?z.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),Pe=Math.pow(2,9),Oe=Math.pow(2,8),Ie=Math.pow(2,1);function ze(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*Pe+e*Oe+r*Ie+e}var De=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 Ot(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))},Pr=function(t,e){return{u_matrix:t,u_world:e}},Or=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}},zr=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}},Dr=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,zr(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,P=E.circleArray[C+0],O=E.circleArray[C+1],I=E.circleArray[C+2],z=E.circleArray[C+3];k.emplace(A++,P,O,I,z,0),k.emplace(A++,P,O,I,z,1),k.emplace(A++,P,O,I,z,2),k.emplace(A++,P,O,I,z,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 D=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=Dr(N.transform,N.invTransform,e.transform);T.draw(l,u.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.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 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,P=0;P<C.length;P++){var O=C.get(P);if(O.hidden)he(O.numGlyphs,d);else{var I=v[P];if(I)for(var z=0;z<O.numGlyphs;z++)t.addDynamicAttributes(d,I.shiftedAnchor,I.angle);else he(O.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 P=C.programConfigurations.get(n.id),O=a||L.sdfIcons,I=a?L.textSizeData:L.iconSizeData,z=y||0!==v.pitch,D=e.useProgram(ln(O,a,L),P),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=z||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=O||e.options.rotating||e.options.zooming||H||z?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=O&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),tt={program:D,buffers:C,uniformValues:O?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:O,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?Or(S,t,v,x,E):Pr(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,P=S.indexBuffer,O=S.uniformValues,I=M.segments;L.draw(u,c.TRIANGLES,f,h,p,Ct.disabled,O,n.id,C,P,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 P=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 O=w.gradients[n.id],I=O.texture;if(n.gradientVersion!==O.version){var z=256;if(n.stepInterpolant){var D=r.getSource().maxzoom,R=b.canonical.z===D?Math.ceil(1<<e.transform.maxZoom-b.canonical.z):1,F=w.maxLineLength/t.EXTENT*1024*R;z=t.clamp(t.nextPowerOfTwo(F),256,v.maxTextureSize)}O.gradient=t.renderColorRamp({expression:n.gradientExpression(),evaluationKey:\"lineProgress\",resolution:z,image:O.gradient||void 0,clips:w.lineClipsArray}),O.texture?O.texture.update(O.gradient):O.texture=new t.Texture(v,O.gradient,g.RGBA),O.version=n.gradientVersion,I=O.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,P,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 Pt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ot.maxUnderzooming+Ot.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,O.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 Pn=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={}},On={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}};Pn.prototype.clone=function(){var t=new Pn(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},On.minZoom.get=function(){return this._minZoom},On.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},On.maxZoom.get=function(){return this._maxZoom},On.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},On.minPitch.get=function(){return this._minPitch},On.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},On.maxPitch.get=function(){return this._maxPitch},On.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},On.renderWorldCopies.get=function(){return this._renderWorldCopies},On.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},On.worldSize.get=function(){return this.tileSize*this.scale},On.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},On.size.get=function(){return new t.Point(this.width,this.height)},On.bearing.get=function(){return-this.angle/Math.PI*180},On.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))},On.pitch.get=function(){return this._pitch/Math.PI*180},On.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())},On.fov.get=function(){return this._fov/Math.PI*180},On.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())},On.zoom.get=function(){return this._zoom},On.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())},On.center.get=function(){return this._center},On.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},On.padding.get=function(){return this._edgeInsets.toJSON()},On.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},On.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Pn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Pn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Pn.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)},Pn.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},Pn.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}))},Pn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},On.unmodified.get=function(){return this._unmodified},Pn.prototype.zoomScale=function(t){return Math.pow(2,t)},Pn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Pn.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)},Pn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},On.point.get=function(){return this.project(this.center)},Pn.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())},Pn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Pn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Pn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Pn.prototype.coordinateLocation=function(t){return t.toLngLat()},Pn.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)},Pn.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])},Pn.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)))},Pn.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},Pn.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])},Pn.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]},Pn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Pn.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}},Pn.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={}}},Pn.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},Pn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Pn.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(Pn.prototype,On);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 zn={linearity:.3,easing:t.bezier(0,0,.3,1)},Dn=t.extend({deceleration:2500,maxSpeed:1400},zn),Rn=t.extend({deceleration:20,maxSpeed:1400},zn),Fn=t.extend({deceleration:1e3,maxSpeed:360},zn),Bn=t.extend({deceleration:1e3,maxSpeed:90},zn),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({},Dn,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 P=E(0),O=function(t){return C(P)/C(P+_*t)},I=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},z=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(z)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;z=Math.abs(Math.log(T/w))/_,I=function(){return 0},O=function(t){return Math.exp(D*_*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*z/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*z,d=1/O(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 Pi={\"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\"},Oi=t.window.HTMLImageElement,Ii=t.window.HTMLElement,zi=t.window.ImageBitmap,Di=60,Ri={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:Di,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>Di)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new Pn(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({},Pi,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?Di:t)>Di)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 Oi||zi&&r instanceof zi){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 Oi||zi&&r instanceof zi?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 Oi||zi&&r instanceof zi);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),P=c.mallocFloat(2*this.count);this.textWidth=[];for(var O=0,I=0;O<this.counts.length;O++){for(var z=this.counts[O],D=this.font[O]||this.font[0],R=this.fontAtlas[O]||this.fontAtlas[0],F=0;F<z;F++){var B=this.text.charAt(I),N=this.text.charAt(I-1);if(C[I]=R.ids[B],P[2*I]=D.width[B],F){var j=P[2*I-2],U=P[2*I],V=P[2*I-1]+.5*j+.5*U;if(this.kerning){var q=D.kerning[N+B];q&&(V+=.001*q)}P[2*I+1]=V}else P[2*I+1]=.5*P[2*I];I++}this.textWidth.push(P.length?.5*P[2*I-2]+P[2*I-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:P,type:\"float\",usage:\"stream\"}),c.freeUint8(C),c.freeFloat(P),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],i=n.step,a=Math.floor(T.maxAtlasSize/i),o=Math.min(a,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*i),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,P=L.color,O=L.borderColor,I=L.colorBuffer;if(t.tooManyColors){if(P.length||O.length){E=new Uint8Array(8*C);for(var z=0;z<C;z++){var D=P[z];E[8*z]=v[4*D],E[8*z+1]=v[4*D+1],E[8*z+2]=v[4*D+2],E[8*z+3]=v[4*D+3];var R=O[z];E[8*z+4]=v[4*R],E[8*z+5]=v[4*R+1],E[8*z+6]=v[4*R+2],E[8*z+7]=v[4*R+3]}}}else if(P.length||O.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%f,E[4*F+1]=Math.floor(P[F]/f)),null!=O[F]&&(E[4*F+2]=O[F]%f,E[4*F+3]=Math.floor(O[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],P=E[2],O=E[3];M.viewport=[x+L*y+S[0],b+C*m+S[1],x+P*y-S[2],b+O*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._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",
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@@ -11016,19 +11085,21 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "# Analysing salary distribution among top ten countries"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 356,
+   "execution_count": 508,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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++ecf9uzZw759+5g1axa//PILS5cuxdPTk4oVK7Js2TJiY2Px8fHh8uXLnDt3josXLyaaTjpeWvYpU6ZMgoTIy8uL2rVrs2bNGrp27UpkZCTr1q2jd+/eGAyGVJ9fUpLbv379+vz888/cunWLp59+mqeeeipBA1NyHBwcTMluSuIT93itW7dm8+bNXLx40fTkXnrt3buXmjVrJpjOCaBTp06MGjUqwbEeTSiLFCmS6F5NjfikCOLuTTc3txTv5ye9fun53Bw6dIj79+/TokWLBPde/PRO//77LyVKlODEiRO88847CfZt3779YzvBAdq0acPTTz/N7t272blzJ3v27GHnzp3s2LGDDRs2MG3atCTP/Uk/z7t378ZoNCZ5TrNnz+bAgQO0bNmSsmXL8tFHH7Fz506aNWtGkyZNNB2RiEguptxWue3jKLdNW26bnJTiuXjxIoGBgaZpR+O1b98+xU7w+KV0QkJCuHz5MpcvXzZNWZmWz4mIiEg85YbKDR9HuWHacsPkZiro2bNnolH6P/74I9WqVePIkSO8/vrrGI1G071TokQJypQpw7///pugE7x8+fKJyi5TpoypAxygYMGCuLm5Jain/PnzExISYvo+vq0zKCiIK1eucOnSJf7++28g8Wcspc90Rt7LIuaWKzvBg4KC6N69O59//jn169c3S5l79+7lq6++4vz58+TNm5dXXnmF/v37m6VsyXxbt24lICCAVatWmdYEediWLVtMT0o6OjomeC8+uXl4fY9Ht4vfJrVT+cTbvn07EyZM4OLFizg5OeHt7Y2Tk9MTlQVxiWzZsmV57bXXiIqKYtWqVYwbN44pU6Ywffp0IO5pu7lz5xIcHIy7uzuVK1fG0dExwS/QR6V2H3d390T7duvWjdGjR+Pr68uRI0e4e/euaWqmJxEeHs6dO3dMv6wfNWbMGIoUKcLvv//O2LFjgbhE5+OPP07wBOSjChQokKpf6gULFky0H8CdO3dSewqPdefOHTw8PBK9Hl+/d+/eNb2W1P36JPeOg4NDmsqJP25kZGSS70dGRpInT55k94s/BqT+Xr99+zaAacT0o/z8/Lhz5w5GoxE3N7cE76X26WKIm06radOmpqdB/fz8+Pzzz9m4cSNbt27l6aefTnK/J/k8x59TctMr3bp1C4PBwKJFi5g9ezZ//fUXq1evxtbWllatWvHpp58meipVRNIvI3LLfv36sWfPngTTzk2bNs00W4VIWii3VW6r3DZlac1tk5NSPPF19Gje+WidPurq1at8/PHH7N69GxsbG0qXLm1aR/NJYhSRrE/tlpLRlBsqN1RumLK05obFixdn69athIaGJnhoZPz48YSFhQFw4sQJPvnkE1PMsbGxzJ8/P8n1xu3t7RN8H1+vD3v4OPEePf9HHTt2jLFjx3Ls2DEcHBwoW7YsxYsXBxJ/xh73mTb3vSySUXJdJ/iBAwcYOXIkV69eNVuZFy5c4M033+STTz6hc+fOnDlzht69e1OqVCnatWtntuNI5lm5ciXFixdPMH1KvHfeeYeff/7ZlAyaQ3xS8WgCGRYWZkr2rl69yqBBg0xrwcU/jbd06dI0rVf3ww8/MHv2bLZs2ZLgl5mtrS3du3dn27ZtnD9/HoA//viDSZMm8f7779OtWzdTg827777LsWPHkiz/SfZ5WLt27UwdiIcOHaJhw4bpmuJvz549xMTEULdu3STft7OzY8CAAQwYMABfX1+2bNnCrFmzeP/991m/fv0THzfeo0lfQEAAkDB5eXgdJUjbk7IA+fLlM5X7sPipkFxdXdNUXkaIT0z9/PwoXbp0ovdv3ryZ5B8H6ZE3b14gbr0bT0/PJGPKnz8/VlZWieovvrM5JS+99BJeXl6Jfk4UKlTIdA+fP38+yU7wJ/08x5/TDz/8YPrZ8LD4z0rhwoX59NNP+eSTTzh9+jQbNmxg/vz55MuXz/RHj4iYR0bklgDHjx9n4cKF1KtXz6zlSu6k3Fa5rXJby4uPOzAwMMHrKeWdsbGxvPnmm9ja2vLLL79QqVIlbGxsOH/+fKI1MEUkZ1C7pWQG5YbKDZUbmlfLli1ZsmQJmzZtSrAm9sNtoA+ft5OTEwaDgT59+iQ50OVxndlPIjQ0lH79+uHt7c3atWtNMxVs27aNjRs3prk8c9/LIhnl8Qsz5CCrV6/mgw8+YMiQIYne27lzJ926daNOnTo888wzafqDctmyZbRs2ZLnn38eg8FAhQoV+Pnnn6ldu7Y5w5dMEhAQwPbt23nmmWeoX79+oq8OHTrw77//4uPjY7Zjxj+5dePGDdNrd+7c4cKFC6bvjx8/TkREBP37908wHU18Ipjap9rKli1LcHAwixcvTvReTEwMPj4+pilWDhw4gIuLC2+++aYpqQsLC+PAgQOJEtd4T7LPw/LkyUOHDh1Yu3Yt27dvT9cTZNHR0cyePRt3d3dat26d6P3w8HDatm3LokWLgLgOxB49evDMM89w8+ZNANP0T0/q0UT9zz//pGjRoqY1dZydnU3HivfoNDmPW0Onbt26HDp0KNE9+fvvv1OwYMHHrt+TGapWrUqePHmSXIcnNDSUHTt20KBBg3Qd49F6ql69Ora2tty6dYuqVauavmxtbZk8eTLXrl3D3t6emjVrsmnTpgSfofipgFJSvHhxNmzYkOTPgkuXLgH/TVf0aGyp/Tw/ul/8HzXBwcEJzun27dtMnTqV27dvc+jQIRo1asTRo0cxGAxUrFiRIUOGUL58+UT3moikT0bllj4+Pty5cyfFJ/NFUku5rXJb5bZZg6enJ0WLFk2UD8dP85qU4OBgLl26RLdu3ahWrZppdpB//vkHSNyZICLZm9otJTMoN1RuqNzQ/Bo2bEi9evX46quvuHjxYpLbnDt3zvR/Z2dnKlWqxMWLFxO075UrV46ZM2eyZ88es8d48eJFbt++zauvvkq5cuVM9f6keaU572WRjJSrRoI3adKEjh07YmNjkyChPH36NAMGDOCrr76iZcuWHDlyhIEDB+Lq6krTpk25desW4eHhicqzs7OjaNGiHD16lEaNGjF06FD+/fdf3Nzc6NOnD927d8/M0xMzWb16NdHR0clON/z888+zbNkyfvnlF7Md09vbm6JFizJz5kxcXFywsrJi3rx5CZ76qly5MjY2Nnz11Ve89tprREZGsmrVKrZu3Qqk/im6xo0b8+yzzzJlyhTOnDlD27ZtcXNz4+bNm/z888/cvHmTqVOnAlCtWjV++uknJk2axNNPP42fnx8LFy4kICAgwZojD3uSfR7VrVs3unfvjrOzM23atEnVPlevXuXw4cNA3Bom165d4+eff+bEiRN8++23ST5B5+DgQOXKlZk5cya2trZ4e3tz6dIlVq9eTdu2bQFwcXEBYNeuXZQpU4bq1aunKp54ixcvxsnJiUqVKvHnn3+yfft2vvzyS9NTsM2bN+fPP/+kWrVqeHl5sXr1aq5cuZKgjPjRv2vXrqV69eqJ1sDp27cvv//+O3379uXtt9/G1dWV3377jd27dzNhwoTHJpOZwd7ennfffZeJEyeaknAXFxd8fHz48ccfsbKyYsCAAek6Rnw9/fXXXzRr1owyZcrQr18/pk2bRmhoKPXr1+fWrVumdborVKgAwNChQ+nduzdvv/023bt35/Lly8yePfuxxxsyZAh79uyhW7duvPrqq9SsWRMrKyuOHTvGokWLaNasmWna4kdjS+3n+dFrX758eTp16sRHH33E9evXqVKlCpcuXeKbb77Bw8MDT09PoqOjcXBwYPjw4QwePBh3d3d27tzJqVOnePXVV9NVxyKSUEbllseOHcPJyYkhQ4Zw7Ngx3N3d6dOnD926dcvM05McQrmtclvltlmDwWDggw8+4P333+fDDz+kXbt2HD58mJ9++inZfQoUKEDx4sVZunQpRYoUIW/evOzYsYMffvgBSLweq4hkb2q3lMyg3FC5oXJD8zMYDEyZMoUBAwbQpUsXXnjhBRo0aICLiwuXL19m7dq17Nmzh+rVq5tmqxw6dChvvvkm77//Pp06dSImJoZFixZx5MiRdLeRJsXLywtnZ2fmzJmDjY0NNjY2bNy4kZUrVwJPllc+yb0sktlyVSd4cmtt/fzzz7Rs2dL0Qa1VqxYvvvgiS5cupWnTpnzwwQfs3bs30X4VKlRgzZo13Llzhx9//JFvvvmGL7/8kkOHDtG/f3/y5cunaYWyodWrV1OuXDlTB9mjqlWrRunSpfn1118pWbIktra26T6mtbU106dPZ8KECQwdOhR3d3d69+7NxYsXTSNKS5UqxeTJk5k5cyYDBgwgX7581KhRg8WLF9OrVy/2799vWhvucb766ivq16/PmjVr+PDDD7l37x5ubm40btyYiRMnmpKN559/nmvXrvHrr7+ybNkyChcuzFNPPcUrr7zCRx99xPnz5ylbtmyCsp9kn0fVqFEDV1dX2rRpk2gNluTMnj3b1HFpb29P4cKFqVOnDmPHjk32WgKMGzeOqVOnsmjRIvz9/SlQoADdunXj3XffBeKezOvbty/Lly9n69at/Pvvv6mK5+HyFy1axNSpUylRogRTpkxJ8IfGqFGjiI6O5quvvsLGxoYOHTqYGsbitWnThjVr1jBy5Ei6devGp59+muAYBQsW5KeffmLy5MmMHz+eqKgoKlSowKxZs2jZsmWa4s1Iffr0oUiRIixbtoyRI0cSFhZGoUKFaNKkCQMGDKBo0aLpKr9+/fo0atSIyZMns2vXLubNm8d7771HwYIFWbZsGQsWLCBfvnw0bNiQoUOHmhL9OnXqMH/+fKZMmcLbb7+Nh4cHEyZM4K233krxeB4eHqxevZq5c+fyxx9/MH/+fIxGI6VKleL111/n1VdfNSX9ScWWms9zUtd+4sSJzJ071/THW4ECBejQoQPvvfce1tbWWFtbs2jRItP9cPfuXTw9PRk3blyCKZlEJP0yKreMjIykRo0aDBkyhHLlyrFnzx4GDx6Mk5MT7du3z9BzkpxHua1yW+W2Wcezzz6LlZUVs2bNYs2aNZQvX55x48YxdOjQZPeZNWsW48ePZ+TIkdjZ2VG2bFlmz57NhAkT2L9/P7169crEMxCRjKR2S8kMyg2VGyo3zBjxcf7222/88ccf/Pnnn9y9exc3Nzdq1KjBrFmzaNGihamtsEmTJixcuJCZM2fyzjvvYGtrS+XKlfnuu++oUaOG2eNzcXFh1qxZfPnll7z77rs4OTlRsWJFlixZwhtvvMH+/ftp0aJFmsp8kntZJLMZjKmdSySH8fb25scff6R+/fq88cYb7N69G3t7e9P7MTExlCxZkjVr1jy2rGeffZYKFSrw9ddfm14bO3YsQUFBTJs2LUPiF8nJjh49ygsvvMCvv/5KlSpVLB2OiIjIY5kzt0zK2LFjCQwMZPr06eYKWUQyiXJbERFJK7VbiuRcyg0lp9C9LNlBrhoJnpwiRYrw/PPPM27cONNrfn5+qV5rpEyZMkRGRiZ4LSYmJtX7i0icPXv2sGfPHn777TcaNGigX54iIpItpTe3XLlyZaJR35GRkQkaPkUk61NuKyIi5qB2S5GcQbmh5BS6lyU7sfyCCVlAt27dWLt2LTt27CA2NpbLly/Ts2dPFi1alKr9X3rpJf73v/+xZs0ajEYj+/bt448//uC5557L4MhFcpbg4GC+++47ChQowMSJEy0djoiIyBNJb24ZGhrKZ599xsmTJ4mNjWXr1q2sXbtW6zaKZDPKbUVExBzUbimSMyg3lJxC97JkJ5oOvX59ALZu3cr06dO5cuUKjo6OPPvsswwdOhQ7O7tUlbdt2zamT5/OpUuXcHNzo1+/frz00ksZeQoiIiIikkWYM7c0Go3Mnj2blStXEhgYSIkSJXj77be1ZqOIiIhILqF2SxEREZH0y7Wd4CIiIiIiIiIiIiIiIiIikvNoOnQREREREREREREREREREckx1AkuIiIiIiIiIiIiIiIiIiI5hjrBRUREREREREREREREREQkx1AnuIiIiIiIiIiIiIiIiIiI5Bg2lg4gswQGhmA0pq8MgwEKFHAxS1nyeKrvzGW2+g67h3vVcgAEHDsHTnnME2AOo/s786nOM5fqO3OZu77jy5PkKbfMWKqblJmlfnJozqZ7J3mqm5SpfpKnukme6iZl8fUTFBSCm5tyy8cJCgohNtbSUciT0M+CHOCh3Djw+DmMeXJGbpzb6LOYM+g6Zn8ZfQ3T0m6ZazrBjUbMVtnmLEseT/WdudJd30YjhIQ8+K8RdO1SpPs786nOM5fqO3OpvjOPcsvMobpJWbrqJ4fnbLp3kqe6SZnqJ3mqm+SpblKmukkd3UfZn65hNvZIbqzrmL3ps5gz6Dpmf1nhGmo6dBERERERERERERERERERyTHUCS4iIiIiIiIiIiIiIiIiIjmGOsFFRERERERERERERERERCTHUCe4iIiIiIiIiIiIiIiIiIjkGDaWDkAkp7l+5z6bTvtz8mYIPrfvA5DX3obKRfNSv1R+6pVyxcpgsHCUIiIiIpJaoRHRbDztx8bT/kTHGCngZEsBJzvcnewo8NBX6QJ5cLS1tnS4IiIiIiIZKibWyJXge5z1C+OMXyhn/UIJiYimkLM9hVzsKeRsR+G89tQtkR93Z3tLhysiIrlUtuoEj4mJoU+fPhQvXpxJkyZZOhyRBK4E3WPm9ktsOx+IMYn3D12/y5L91yjp6kjvuiV4tkphdYaLiIiIZFFGo5HD1++y5tgNNp8NICI69rH75HWwoXfdErxYsxgO6gwXERERkRwmIDSCxfuv8dvRm9yLikn0/qlboQm+tzZA0zIF6Fq9qAYGiYhIpstWneAzZ85k//79FC9e3NKhiJjEGo0sO3CdOf9eNjWO1iuZn4ZebpRxz4O1wYBfaASHr9/lf2f9uRp8n882neWPEzcZ06Y8nm55LHwGIiIiIhIvMCySP0/cYs3xm1wNvm963atAHp6rUoSi+RwIDIskMCySgAf/BoZFciskgqB7UczYfonlh67zZqNSPFO5CDZWaugTERERkezt5t1wftx3jTXHbhAZEzf8x9HWinIFnfEu5Ez5gk645rEjICwCv5AIboVEcCnoPidvhrD1fCBbzwdSPJ8DXasXpXvN4tjZaJVWERHJeNmmE3zXrl1s2rSJNm3aWDoUEZPI6FjGbTzDxtP+ANQvlZ+hT5ehdAGnRNs+W7kIQ5uX4dcjvszfdYXD1+/SZ+khxnWoQLMyBTI7dBERERF5xJpjN/jif+eJeqhhr413ITpVLULVoi4YUhi5EhNrZMMpP+b8e5mbIRF8vukcS/ZfY2ATL5qXLZDiviIiIiIiWVFkdCwzt19ixWFfomPjcuTqxfLyesOS1CvpivVjHvi8EBDG6qM3+PPkLa7fCWf6P5dYf8qPT9t5U76Qc2acgoiI5GLZohM8MDCQMWPGMGvWLL7//ntLhyMCQHhUDENWH2e/zx2srQwMa1GGLtWKptjAmcfOml51S9DauyCfrD/DwWt3+OC3E7zXvDSv1PbIxOhFRERyltOnT/PFF19w4sQJbG1tady4MSNHjsTNzS3Rtv369WPPnj3Y2PyXCk+bNo1mzZplZsiShRiNRubtvMKC3VcBqFzEheerFaGVd0Gc7FL3J5O1lYFnKhemtXdBVh7xZdHuq1wOus/w309StagL7zQrTQ2PfBl5GiIiIiIiZnPzbjgj/jjFyZshANQukY9+DUpRu0S+VD/gWcbdiQ9alOXtpl5sOOXHrB2XOecfRu+lh3ijYSlerVdCMyeJiEiGyfKd4LGxsQwbNoy+fftSoUKFJy7HHAMv4svQII7MkZXrOzrWyOi1p9jvcwcnO2u+6FSJBp6uqd6/aD4HZr1QlclbLrDi8A2+2XqRmFgjr9YrkYFRp8xs9f3Q/gZDwu/lP1n5/s6pVOeZS/Wducxd39ntuoWHh9OvXz9efPFF5s6dS1hYGCNGjGD06NHMmTMn0fbHjx9n4cKF1KtXzwLRSlYTHRPLhL/O8ceJWwC8Vr8EbzX2fOKR23Y2VrxS24NOVYqweP81lu2/xrEbIby5/AgjW5WlS/Vi5gxfREREsoATJ04wYcIEzpw5g4ODA+3atWP48OHY2dlZOjSRJ7LnSjBj1p7iTng0+Rxs+LS9N01KP/lMlg621nSuVpRmZQsw8a9zbD0fyOx/L7PtQiBj23truUgREckQWb4TfO7cudjZ2dGrV690lVOggIuZIjJvWfJ4Wa2+jUYjI389xvaLQdjbWPH9a/Wo65l4lFlqfNm9JsUKODPtf+eY/s8l3PI50qexl5kjTpt017fjf2v6uLu7gFPiqeHlP1nt/s4NVOeZS/WduXJrffv6+lKhQgUGDRqEtbU1dnZ2dO/eneHDhyfa1sfHhzt37lCpUiULRCpZTVhkNCP/OMXuy8FYGWBEq3J0qVbULGU729swoLEnL9Qoxox/LrLupB8TN58n8F4U/RqU1PToIiIiOURsbCz9+/fnzTffZPHixfj5+dGnTx9cXV0ZNGiQpcMTSZNYo5Ef9vow59/LxBqhQiFnvuhUiWL5HMxSvlseO77sVIn1p/z46u/znLwZwus/HWZalypUKZrXLMcQERGJl+U7wdesWYOfnx916tQB4kb6AGzevJn9+/enupzAwBCMxvTFYjDENS6boyx5vKxa36uO3GD5fh+sDDCxY0W8nG0JCAh54vJ61SzKvXsRzN91lbF/nMTZCpqXczdjxKljtvoOCyM++oCAELgfa47wcpysen/nZKrzzKX6zlzmru/48rKL0qVLs2DBggSvbdy4kcqVKyfa9tixYzg5OTFkyBCOHTuGu7s7ffr0oVu3bpkVrmQRAaERvLvqOGf9w3CwsWJix4rpGt2SHHcnOz5t502xvA4s2H2VeTuvEBQWyQctyj52DUURERHJ+u7cuYO/vz+xsbEYHyTjVlZWODo6WjgykbQxGo1M/Oscvx27CcBzVYowrGVZ7G2sHrNn2hgMBjpUKkztEvkZ9cdJjt0IYeCKo3z9XGXqlUr9TJsiIiKPk+U7wTds2JDg+5EjRwIwadKkNJVjNGK2RnhzliWPl5Xq+/StEL7++zwAg5p40bR0AbPE9kbDUgSERbL66E3G/HmaBS9Vp0Jhy3Q+pLu+H9rXaEz4vSSWle7v3EJ1nrlU35lL9R3XcDN16lS2bNnCkiVLEr0fGRlJjRo1GDJkCOXKlWPPnj0MHjwYJycn2rdvn+rjaKmdjJXRdXMp8B6DVx7jZkgEbnlsmdqlCpWKZFzuZTAYeKuJJwWc7Pjyf+dZeeQGt+9HMa5DBeyeoFHRLPWTQ5ew0ecqeaqblKl+kqe6SZ7qJmW5pX5cXV3p06cPX3zxBV9++SUxMTG0bNmSPn36pKkcgyHn11VOlRPudaPRyNRtF/nt2E2sDDCyVTm6VDfPDEnJKZLXnm9fqMYHa06w98pt3lt9nInPVrTI4KCcmhvnNjnhsyi6jjlBRl/DtJRrMBqzV1Ppk3aCBwSYZyS4u7uLWcqSx8tq9R0eFUOPxQe5GnyfJqXdmNy5MlZm/BRHxxoZuvo4uy4HUyyvPT/2rEU+R1uzlf84ZqvvsDAKesUlyf6Xbmg69GRktfs7N1CdZy7Vd+Yyd33Hl5fdhIaGMmrUKE6cOMHs2bPx9vZO1X5jx44lMDCQ6dOnZ3CEkhUcvXabngv2cDc8Gi93J37oW4+SBTJvDcK1R30ZsvwwUTFGGpUpwNxetXFxyLyczyQsDJyd4/4fGqqcTURE5AnFxsYybdo0ChcuTLdu3bhy5Qpvv/027du357333rN0eCKpMuWvs0z/3zkAvupWjRfqlMi0Y0dEx/DuT4fZcOIm1lYGvuxaja61PTLt+IByYxGRHCrLjwR/VFo7v0XMZf6uK1wNvm+a0tKcHeAANlYGPn+mAq8uOcT1O+F8sv4MU543b0e7iIhITnX16lXeeOMNihUrxsqVK3Fzc0tyu5UrVyYa9R0ZGYm9vX2ajqeldjJWRtXN3fAo3vzhIHfDo6lWLC9TOlcmjzEmXUvbpFWDYi5M61KFD347yc4LgbwweyfTulShgJNdqsswS/3k0CVs9LlKnuomZaqf5Klukqe6SVl8/QQFheDmlv0esEytv/76i40bN5pmsyxXrhyDBg1i/PjxaeoEDwoKITZn/DrOdbL7z4LF+3yYvu0SAMNalOFpz/yZmh8DfNq2HLYGI38cv8X7K44QFhZOh0qFMy+Ah3LjwMAQjDkkN85tsvtnUeLoOmZ/GX0N07KMY7brBBexhBM3Q1iy/xoQNx1QRo3QzutgyxedKvH6T4f591IQPx+8ziuZ/eSjiIhINnPnzh169+5NgwYNGD9+PFZWyU8vHRoaypQpUyhVqhQVKlTgn3/+Ye3atSxcuDBNx9RSO5nDvPVsZOz6s9wMicAjvwPTulTB2d7GInVft6Qrc7pX491fj3P6Vij9fjrMvO7VcXdO28MY6aqfHL6EjT5XyVPdpEz1kzzVTfJUNynL6XVz48YNIiMjE7xmY2ODrW3a2o50H2V/2fEarjriy7QHHeADm3jyYs3iFjkHa4OBD9uUJ4+tNcsP+TJuw1kKOdtTu0T+zAngkdw4u11HSUjXMGfQdcz+ssI1TPsCdCK5TEyskUl/nSPWCG0rFOSpsgUy9HjehZx576nSAHy7/RLn/cMy9HgiIiLZ3apVq/D19WX9+vXUrl2bmjVrmr4Aatasye+//w5A79696dmzJ2+//TY1a9bk66+/5osvvqBOnTqWPAXJBMsP+bLtQiC21gYmPlsRZ3vLPg9csbALC16uQbG89vjcDueDNScJj4qxaEwiIiKSdk2aNMHf3585c+YQExODj48Ps2fPpmPHjpYOTSRFe68E88X/zgPQp14J+tYvadF4rAwGhj5dhpbl3YmONTL895NcDrpn0ZhERCR700hwkcf44/hNTvuF4mRnzdCny2TKMbtWL8q/l4LYcTGIj9ad5seeNbG11jMrIiIiSenbty99+/ZN9v1Dhw6Z/m8wGBg4cCADBw7MjNAkizh5M4Rp2y4C8G6z0lQonDWmZC3p6siMbtXou+wQJ26G8Pmms3zWoQIGLYcjIiKSbZQtW5a5c+cydepUFixYgIuLC506dWLQoEGWDk0kWX4hEXz452lijdCxcmEGNvG0dEhAXEf4p+288QuJ4NiNEN5bdZzvXqmBa57ULx0kIiIST71qIikICY9m1o7LALzZqBRumZRwGQwGPmpbnvyOtpwPCDNNxS4iIiIiaRMaEc3otaeIjjXSvGwBXqxZzNIhJVDS1ZFJHStibWVg42l/vt/rY+mQREREJI0aNWrEL7/8wv79+9myZQtDhgzBzk6ddpI1RcfEMnrtKYLvR1G+oBPDW5bNUg9hOtha83XnyhTL58D1O+G8/9sJzZgkIiJPRJ3gIin4fu9Vgu9H4enmyIs1MrfB1C2PHUOfjpsWfcGuK1wNvp+pxxcRERHJ7oxGI+M3neX6nXCK5bXno7bls1QDX7y6JV0Z1iJuxqFZOy6z5VyAhSMSERERkZxqxvZLHPG9i7O9NV90qoSDrbWlQ0rELY8dU5+vgou9DcduhDBu41mMll5YVkREsh11goskwz80guWHfAEY3Kw0NhaYjrxdhUI08HQlMsbIxL+U7ImIiIikxaqjN9h8NgBrKwPjn61IXgdbS4eUrK7Vi/HCg4cuP1l/mrN+oRaOSERERERymr/P+rPswHUAPmnrjUd+RwtHlDyvAnn46rlKWFsZ+OuMP78euWHpkEREJJtRJ7hIMhbtvkpEdCzViuWlaWk3i8RgMBgY2aos9jZW7Pe5wx8nblkkDhEREZHs5oxfKFO2XADg7aZeVCma18IRPd7Qp8tQr2R+7kfFMvS3EwSGRVo6JBERERHJIa4G32fcxrMA9KzjQfNy7haO6PFql8jP4KZeAHyz9YIeFBURkTRRJ7hIEq7fuc/qYzcBGNjE06LTZhbP50j/RqUAmLbtIkH31BgqIiIikpKwyLh1wCNjjDQp7cYrtYtbOqRUsbEyMLFjRUq6OnIrJIJha04SGR1r6bBEREREJJuLiTXy8brThEXGULN4XgY18bR0SKn2Su3iNCntRmSMkVFrT3EvUuuDi4hI6qgTXCQJP+z1ISbWSINSrtQukd/S4fBybQ/KF3Tibng007ZdtHQ4IiIiIlnatG0XuRp8n0LOdnzSzhurLLgOeHLyOtgyuXPlB+sf3mWClsQRERERkXT66eB1TtwMwcnOms+eqWiRZR+flMFg4JN23hRytuNq8H2++N85S4ckIiLZRPb5bSeSSW6FRPDH8bhpx/s1LGnhaOLYWBkY3aY8BmDdST+O+d61dEgiIiIiWdKZW6H8djRuRp9xHSqQ3zHrrgOeHE+3PEx8tiLWBvjzpB8rDmv9QxERERF5MleD7zPn38sADGlemsIu9pYN6Ankd7Rl/DNx+fG6k36sPXHT0iGJiEg2oE5wkUcs2X+N6FgjtTzyUb14PkuHY1K5iAvPVi4MwJStF4jViCARERGRBIxGI5O3XsAItPEumCVm9HlS9T1dGdysNADT/7nIxcAwC0ckIiIiItlNrNHI5xvPEBEdS72S+elUpYilQ3piNTzy0b+xJwBfbD7P5cB7lg1IRESyPHWCizwk+F4kq4/GjbR5rX7WGAX+sIFNvchja83xGyFsOOVn6XBEREREspS/zwVw6Nod7G2sGNzMy9LhpNvLtYvTwNOViOhYPvrztNYHFxEREZE0WXn4Boeu38XR1ooxbcpjyEbLBCWld70S1CuZn/DoWD7dcIboWA0SEhGR5KkTXOQhKw/fICI6loqFnalXKr+lw0nE3cmOvvVLADBz+yXuRcZYOCIRERGRrCE8Kobp2y4C0KuOB0XyOlg4ovSzMhj4pG158jvactY/zDSNpYiIiIjI41y/c5+Z2+Py48HNSlMsXw7Jj9t542xvzYmbISzbf83SIYmISBamTnCRB8KjYlhx2BeAnnU8suyTkS/X9qBYPgf8QyP5YZ+PpcMRERERyRKWHbiO790ICjnb8Wq9EpYOx2zcne35sE05IG7Znv1Xb1s2IBERERHJ8oxGI+M3neN+VCw1PfLRtXpRS4dkNoVc7BnavAwAc3de5pKmRRcRkWSoE1zkgfWn/Ai+H0URF3talC9o6XCSZW9jxbtPxa0PuXT/NW7cDbdwRCIiIiKW5R8awfd7rwJxo1wcba0tHJF5PVXWnc5Vi2AEPll/mrvhUZYOSURERESysE2n/dl39Tb2NlZ81KY8Vll0sM+TerZyYRp7uREZY2SspkUXEZFkqBNchLinI386cB2Al2oVx8YqayeGT5ctQJ0S+YiIjmX2jsuWDkdERETEor7dfon7UbFULZqXthWy7sOM6TH06TKUdHXELzSSiX+dx2hUQ5+IiIiIJHYvMobp/8RNg/5a/ZKUcHW0cETmZzAYGN26nKZFFxGRFKkTXATYd/U2l4LukcfWmueqFrF0OI9lMBh458Fo8A2n/DjjF2rhiEREREQs48SNu/x50g+A91uUybJL2qSXo6014zpUwNrKwF9n/Fl18LqlQxIRERGRLOj7vVfxC42keD4HetTxsHQ4GaaQiz1DNC26iIikQJ3gIsCvR24A0L5SIZztbSwcTepULOxCG++CGIGZ2y9ZOhwRERGRTGc0Gpm85QIAz1QqROUiLhaOKGNVLuJC/0alAPh4zXGu3b5v4YhEREREJCu5dvs+Sx6Mih7SvDT2Njm7+b9j5cI08nIlMsbIuI1niNG06CIi8pCc/VtQJBX8QyPYdj4AgG7Vi1k4mrQZ0MQTGysDuy8Hs/dKsKXDEREREclUG077cexGCI62Vgxq6mXpcDLFq3VLUNMjL2GRMXy8TusfioiIiMh/vtl6kagYIw1KudKsTAFLh5Ph4qZFL4+TnTXHb4Sw6ugNS4ckIiJZiDrBJdf77dhNYoxQvVheyhZ0snQ4aeKR35Gu1YsCcaPBY7U2pIiIiOQS96NimPlP3Gw4feuXpKCzvYUjyhzWVgbGta+Ai70NR33vsnifj6VDEhEREZEsYOelIP65EIi1lYGhT+fcZYIeVdjFnoFN4h6I/Xb7JQLCIi0ckYiIZBXqBJdcLTrWyG8PnhDsWqOohaN5Mq83KImTnTWnboWy+Yy/pcMRERERyRSL9/ngFxpJsbz2vFI75651mJSi+RwY+1xlAObvusJlrX8oIiIikqtFxcQy5cEyQd1rFsOrQB4LR5S5ulYvSsXCzoRFxvDNg3oQERFRJ7jkajsuBOIXGkl+R1talito6XCeiGseO3rWiWv4nf3vZaJiYi0ckYiIiEjGun0/iqX7rwMwuFnOX+swKc/XLE5jLzeiYox8tumsZgQSERERycWWH/LlSvB93PLY8kbDUpYOJ9NZWxkY3bocVgbYdMaf3ZeDLB2SiIhkAbmvtUjkIb8eiRsF3qlKEeyyceNpjzoeuOWx5drtcFZr7RsRERHJ4X46eJ17UTGUL+hEy/Lulg7HIgwGA6NalyWPrTVHfe+y8rCvpUMSEREREQu4cz+KRbuvAjCoiRfO9jYWjsgyKhR24cWaxQH44n/nCY+KsXBEIiJiadm3108knXyC77P7SjAGoEv1IpYOJ10cba15s1HcU54Ldl0lLDLawhGJiIhkrtOnT9O3b1/q1atH48aNGT58OEFBST/9v23bNjp27EiNGjVo3749W7ZsyeRoJT3uhkex/GDcKPDXG5bKNWsdJqVIXgcGN4tb/3Dm9kvcuBtu4YhEREREJLP9sNeHkIhoyro78UzlwpYOx6L6NypFQWc7rt0O5/u9PpYOR0RELEyd4JJrrXowYrqhlyvF8zlaOJr0e65KEUq6OhJ8P4ol+65ZOhwREZFMEx4eTr9+/ahZsyY7duxg7dq13L59m9GjRyfa9vLlywwePJh3332X/fv3M3jwYN577z1u3bplgcjlSSw/6EtYZAxl3PPQvGwBS4djcV2qF6Vm8bzcj4plwl/nMGpadBEREZFc4+bdcJYfintA9O2mXlhb5d4HRAGc7W344OkyQNzDAZcD71k4IhERsSR1gkuuFB0Ty7qTcY3dXaoVs3A05mFjbcWgJp4ALD1wjcCwSMsGJCIikkl8fX2pUKECgwYNws7ODldXV7p3786+ffsSbbt69Wrq1KlDq1atsLGxoUOHDtStW5fly5dbIHJJq9CIaH6KHwXeoBRWuXgUeDwrg4ExbcpjZ21g9+Vg1p30s3RIIiIiIpJJ5u68QmSMkVoe+Wjk5WrpcLKEp8u509jLjehYI5O3XNBDoiIiuZg6wSVX+vdSEEH3onDLY0vj0m6WDsdsni7nTpWiLtyPimXhg7WAREREcrrSpUuzYMECrK2tTa9t3LiRypUrJ9r2/PnzlC9fPsFrZcuW5fTp0xkep6TfL4d8CYmIxsstDy3K5c61wJNSyi0PbzbyBGDK1gt6GFJEREQkFzjvH8afJ+IG+Qxu5pWrlwl6mMFg4IMWZbC1NrD7SjD/XAi0dEgiImIhNpYOQMQS/jgelyB2qFQYmxw0TZDBYODtpl689ctRVh29wSu1i+ORP/tP9S4iIpJaRqORqVOnsmXLFpYsWZLo/bCwMBwdE/5udHBw4N69tE2TZ472pfgy1FaVWFJ1ExYZzbIDcUu+vN6wJDbWubfikqqfnnU92HzWn9O3Qvn67/NM6lTpMYU8Ul4OqU59rpKnukmZ6id5qpvkqW5SpvoRyVjf7riEEWhRzp0qRfNaOpwsxSO/Iz1qe/D9Xh++2XqRBp5u2NtoPKCISG6TLTrBd+3axZQpU7hw4QKOjo60a9eOYcOG4eDgYOnQJBsKuhfJjktBADxbubCFozG/2iXy09DTlV2Xg5nz72U+f6aipUMSERHJFKGhoYwaNYoTJ06wZMkSvL29E23j6OhIeHh4gtfCw8NxcnJK07EKFHBJV6wZVVZO83DdrNh6gTvh0ZR2d+LlxqVz/XqHkPjemdy9Bp1m/svmswHsvxlGuypFkt/Z8b9GQHd3F0jjZyCr0+cqeaqblKl+kqe6SZ7qJmVubqofEXM7eO02Oy4GYW2AgQ+WR5SE+tYvyZ8nb3H9TjjLDlyjb/2Slg5JREQyWZbvBA8KCqJ///58+umndO7cmYCAAF5//XXmzZvHO++8Y+nwJBvacMqPmFgjlYq4UMY9ZzX2xRvU1Itdl4PZeNqfXnVK4F3Y2dIhiYiIZKirV6/yxhtvUKxYMVauXImbW9LLnZQvX54TJ04keO38+fNUqVIlTccLDAwhvUvLGQxxjebmKCunebRu7kfGMHfbBQBeretBcFCohSO0rOTuncJ2Vrxa14Pv9vgwZvUxyue3I6+DbdKFhIURP6F8QEAI3I/N8Lgzgz5XyVPdpEz1kzzVTfJUNymLr5+goBB1hIuYkdFoZOY/lwDoXK0opdzyWDiirCmPnTWDm3nx8bozfLfnKs9UKkwhF3tLhyUiIpkoy88B4ubmxs6dO+nSpQsGg4Hbt28TERGRbMOmSEqMRqNpKvSOOXAUeDzvQs60rVAQgJnbL1k4GhERkYx1584devfuTa1atVi4cGGKeWKnTp3Yu3cv69atIzo6mnXr1rF3716ee+65NB3TaDTPlznLymlfD9fNyiM3uH0/iuL5HGhboZDFY8sKX8ndO683KEUpV0cCwyKZtvXSY8vIifdgTjwn1Y3qx9JfqhvVTXrrR0TM558LgRy7EYKDjRX9Gmh0c0raVShEtWJ5uR8Vywy1kYqI5DpZvhMcwNk5bhTrU089RceOHSlYsCBdunSxcFSSHZ32C+V8QBh21gbaPOgkzqneauyJjZWB3VeC2Xc12NLhiIiIZJhVq1bh6+vL+vXrqV27NjVr1jR9AdSsWZPff/8dgDJlyvDtt98yd+5c6taty6xZs5gxYwZeXl6WPAVJQXhUDIv3+QDwWv2S2Gga9BTZ21jxYZvyAKw5fpND1+5YOCIREZGc7/bt2wwfPpz69etTt25dBg4ciJ+fn6XDkhwo1mhk7s4rAHSvVRx3Z41sTonBYOCDFmUwEDc76JHryo1FRHKTLD8d+sM2bdrEnTt3+OCDD3jnnXdYsGBBqvc1mKGtLL4Mc5Qlj5cR9R0/Crx5OXfyOSYzNWQOUcLVka7Vi7L8kC8zt1/mhx75MaRQmWar74f2NxgSfi//0c+TzKc6z1yq78xl7vrObtetb9++9O3bN9n3Dx06lOD7pk2b0rRp04wOS8zkt2M3CboXRdG89nSoVMjS4WQLNTzy8Xy1Iqw+epOJf51j6au1sLXOFs8/i4iIZEuDBw8mX758/PXXX1hZWTFq1Cg++ugj5s6da+nQJIfZci6Ac/5hONlZ07OOh6XDyRYqFnahU9UirDl2k6//vsD3PWpirQdrRURyhWzVCe7g4ICDgwPDhg3jhRde4M6dO+TLly9V+xYoYL61h8xZljyeueo7PCqGTWf8AejRyAt395x/HYc9U4m1J25x8mYI+26G0aFq0cfuk+76dvyvgdXd3QWccua66+ainyeZT3WeuVTfmUv1LTlNRHQsPz4YBd6nfkls1JGbam839WLb+UAuBd1j8b5rvKapMkVERDLE8ePHOXLkCDt37jTNZvnZZ5/h7+9v4cgkp4mJ/W8U+Mu1ipM/hw/wMaeBTTz531l/TvuF8vvxmzxf7fFtpCIikv1l+U7wgwcPMnr0aH7//Xfs7OwAiIyMxNbWFkdHx1SXExgYku41iAyGuMZlc5Qlj2fu+t58xp8796Mo7GJHhfz2BASEpL/QbOCV2sWZv+sqk9adolZhp2SnEDVbfYeF4f7gvwEBIXA/Nh2F5Vz6eZL5VOeZS/Wducxd3/HliVja78du4h8aSWEXe56tVNjS4WQreR1sGdK8DB+tO83C3Vdo7V2QEq6p//tJREREUufo0aOULVuWX375hZ9++on79+/TtGlTRowYkaZyDIbsNyOTxMmsmdA2n/XnUuA9XOxt6FHHQ/dLGhRwsuPNRqWYsuUis3ZcprV3QVwcHuoa0cyWOYJmJcwZdB2zv4y+hmkpN8t3gnt7exMeHs7kyZN5//338ff354svvqBbt26mTvHUMBoxWyO8OcuSxzNXfa87GbcWU7uKhbEyGHLNNexRx4OVh29wNfg+a47dpMtjnnRMd30/tK/RmPB7SUw/TzKf6jxzqb4zl+pbcpKomFi+3xs3Crx3vRLY2WgUeFq1rVCQtSdusufKbSZtPsfMblVTXB5HRERE0u7OnTucOXOGKlWqsHr1asLDwxk+fDgjRoxI03Tobm56CDW7y8gHiaNjYlm0Jy43frNZabw8XDPsWDnVgFbe/H7Cj/N+ofx4yJdPOlb+782HZrYsUEAzW2Z3eqg/Z9B1zP6ywjXM8p3gTk5OLFiwgAkTJtC4cWNcXFzo2LEjgwYNsnRoko3cuR/FzktBALSrmLvWknSys+G1BiWZvOUC83deoUPFQjjYWls6LBEREZEUrTt2g1shEbjlsaVTlSKWDidbMhgMjGxVjpd+OMDeq7fZcNqP9hU1ol5ERMSc4gfpjBkzBnt7e5ydnXnvvfd48cUXCQsLwymVnWlBQSHEajK9bCkzZkJbe+IWFwPCyOdoQ6eK7rlmhktze6+ZJ2+vPM6POy/TvlwBSrs/+Hw+NLNlYGAIRs1smS1pVsKcQdcx+8voa5iWGSyzfCc4QNmyZVm0aJGlw5Bs7H9n/YmONVKuoBNl3XPfk3xdqhXlpwPX8L0bwU8Hr9O3vtaEFBERkazLaDQy75+LALxYsxj2GgX+xDzyO/J6g5LM2nGZb7ZcpJGnG/m0fqSIiIjZlC1bltjYWKKiorC3twcg9kFvtjENLb+a1Sn7y6hrGB0Ty/wHa4G/WqcEeWxtdK88ofql3HiqTAG2XQjk678v/DdT0iMzW6p+szddw5xB1zH7ywrXUK1JkitsOPVgKvQKuWsUeDw7GyveauIJwI/7fLh9P8qyAYmIiIik4IDPHU743sXexoqu1YtZOpxsr2cdD7wK5CH4fhQztl+ydDgiIiI5SqNGjShRogSjR48mLCyMoKAgvvnmG1q1aoWzs7Olw5Mc4M+Tt7h+Jxy3PLa8UFO5cXq917w0ttYG9l69zbbzgZYOR0REMpA6wSXHu3E3nEPX72IA2lQoaOlwLKZthUKUK+hEaEQMC3dftXQ4IiIiIslasv8aAB0rFya/Ri2nm621FaNblQNgzbGbHLp2x8IRiYiI5By2trYsXrwYa2tr2rZtS9u2bSlSpAgTJkywdGiSA0THxLLoQTte73olcNQSh+nmkd+RnnU8APhm20UiojX1uYhITqVOcMnxNp32B6CmRz6K5HWwcDSWY2Uw8O5TpQFYcdiXK0H3LByRiIiISGKXAu+x42IQBgO88qBxStKvhkc+OleNW1t94l/niNaioyIiImZTuHBhvvnmG3bs2MG+ffv44osvyJs3r6XDkhxg3Sk/fO9G4JbHli7Vilo6nByjT72SFHS2w/dOOEsfPIArIiI5jzrBJcczTYVeMXdOhf6w+qVcaVLajZhYIzP+0VSYIiIikvUsPRDXCNW6YmFKujpaOJqc5e2mXrjlseVS0D1+OnDd0uGIiIiISAqiY418tyduFHjPOh44aBS42eSxs2ZwMy8Avt97Ff/QCAtHJCIiGUGd4JKjnfcP43xAGLbWBlqWd7d0OFnCO81KY22AbRcC2X/1tqXDybFu3PDln3+2WjoMERGRbCUwLJL1J28B8Eaz0haOJufJ52jLkOZlAPhhr4+Fo8nalMuJiIiIpW067ce12+Hkd7Sla3WtBW5u7SoUomrRvNyPimXeriuWDidLUS4sIjmFjaUDEMlI6x+MAm/s5UZeB60nCeBVIA9dqxfjl8O+fLP1Aj/2rIW1lcHSYeUYERHhrFy5nO3bt3Hjhi/79++he/ceFC+u6VxFREQeZ+VhXyJjjFQu4kKdUq4EBoZaOqQcp22Fgqw9cZOj525aOpQsSbmciIiIZAUxD40Cf6V2cfLYaRS4uRkMBt5vUYY+Sw+x8ZS/pcPJEpQLi0hOo05wybFijUY2ntZU6El5o2Ep1p26xVn/MP48eYtOVYpYOqQcISYmhsGD3+LSpYvUqVOPe/fC2LdvD5s2rWf+/B8pUaJksvtev36NuXO/5ciRQ4SH36d06TK8/vpb1KlTL8nt790Lo1ev7tSqVYcxYz5N8N7u3TuZP382ly9fJH9+Vzp37krPnn0wGP572OHgwf0sWjSP8+fPYWdnR5Uq1Rg48B08PEqYtomMjOS77+azceM6bt++TYkSJXn11ddo2bK1aZvQ0FDmzJnBtm1buH//HuXKlad37340aNAo1fW2YsXPLF++lJUr/0j03s6dO/juu3lcuHCBfPny8dRTLejffxCOjpoeV0QkpwmPimHFYV8AetX1SPB7S8zHYDAwslU5+l7ys3QoWU5G53K7d+/kgw/eSbRvvXoNmTJlBgBGo5Hff1/NqlW/4Ot7nfz53WjSpBn9+vXHyck50b7R0dEMGPA6DRo04vXX+yd47/z5c8yePYMTJ45iZWVNo0ZNGDNmJFZWKedR586dYe7cbzl9+iSxsUa8vSvw1luD8fauYNrmt99W8vXXkxLt+9xzXRg2bHSK5YuIiMjj/e+sP5eD7pPXwYYXamgUeEapXMSFZysX5n+HNBI8Pbnww2bMmMKZM6eZOXNeovd+/nkJq1atICDAn5IlPXn99Tdp2rR5gm1S064ZL6Vc+GGnT5+if/8+jBjxIR06dEzw3rp1f/Dzz0u4ds0HN7cCdOjQkd69X8faOvkHT4xGIz/9tITff1+Fn98tChcuQrduL9G164umbcLDw1m0aC7/+99f3L4dTNmy5enb9400tZmKSPppOnTJsQ5fv8OtkAic7KxpUrqApcPJUvLnseX1BqUAmL3jMvciYywcUc6wY8c2Tp48zrhxE3jhhZfw9q7I3LnfAQYWL/4u2f3u3r3D4MH9uXLlEu+88z5jx06kQIGCDB36NocOHUhyn+nTp3DrVuIRXMeOHWHkyKF4enoyfvxXtG3bgXnzZvHjj4tM2xw/fpQhQwaRL18+PvnkM4YMGYav73UGDuzH7du3TduNG/cRv/76C7169eWLL6ZQrlx5Pv10NLt37wTiEs333hvIxo3rePHFV5g4cTI1atRm1Kj32bZtS6rqbNOm9cyc+U2S7+3Y8Q8jRw7Fy6sMX301lZ49e7Nu3R988cXnqSpbRESylz9P3uJOeDTF8trTvJyWsclIHvkd6V3vv9Ecd8OjLBhN1pHRudy5c2dxccnLnDnfJfh69933TdssW/YjU6Z8QcOGTZgw4Wt69OjFX3+tZ/To4RiNxgTHjYgI55NPRnHq1IlEMfn53eLdd98iLCyUjz/+nA8+GMXx40fp27cv0dHRyZ7L9evXGDToTcLDwxk58iPGjPmU6OhoBg58natXLyc4F0/P0onOpUeP3qmoaREREUlJrNHIogejwF+qVRxne41jy0iDmniSR+utP3Eu/LAlS75n+fJlSb63bNmPzJ49gw4dOjJ+/Fd4eHjw4YcjOHz4oGmb1LRrxkspF35YZGQk48d/QkxM4vbvX3/9hQkTxlK/fiO++moaHTt25scfF7FgwZwUy5w1azrz5n3LM888x1dfTaNx42Z8882XrFmzyrTNhAljWbNmFT179mHSpCl4eHgwYsQQjhw5lGLZImJe+g0qOdaGB1Ohtyjnjr2Nnvd41Is1irHysC/X74SzeJ8PbzXxtHRI2d6VK5cBqFWrDidOHAcgb964jmZnZ5dk91u37g+CggKZO/c7ChaMm7WgXr0G9OnzMj/9tJiaNWsn2H7Xrh38/fdmnJ0Tjwb67rv5lCtXno8++gyABg0aER0dzZIlP/DSSz2wt3dg8eLv8PT04rPPvsDKKu6zUbVqDbp2fYZ16/7glVd6cfjwQbZu/R9ffTWVhg2bAFCnTj2uX/dh9+6dNGjQiH//3c7p0yf5+OPPadOmHQB169YnJiaaadO+pmnTp0zlPyo4OIh582bzxx+ryZs3X6L3jUYj06dP5qmnWjB69CcA1K5dl5iYWFau/Jnw8HAcHBySrVMREcleYo1Glh24DsBLtT2w0VItGe6lWsVN/5/77xWGdcpvuWCyiIzO5c6fP0PZsuWoUqVqkuXExsayePH3dOrUhbfeehuIy63y5s3Pxx+P5MyZU1SoUAmAI0cOMWXKF/j7Jz1155o1q7h/P5wvv/zGlGu5uuZn8OC3OHBgH/XqNUxyvxUrfsLe3p6vvppmmnmndu26dOv2LCtXLmfo0BFAXCd4pUqVkz0XEREReXJbzwdyIeAeTnbWvFSz+ON3kHRxd7anV93/6vl+VAy5scXpSXNhAF/f68yY8Q07d25Psr0yIiKcH3/8ju7dX6FPn35AXJvlW2+9xnffLWDatFlA6to14fG58MMWLJhNWFhYotfv37/P3Lnf8sorvRg48F0gLu8NCQlh//499O8/KNlzXb58Ke+9N4wuXV4w7efnd4u9e3fx3HNduH79Gn///Rfvvz+S55/vZtrm6NGjrFq1gurVaz42bhExjwzvBPfx8aFEiRKP31DEjKJiYvnf2QBAU6Enx87GineaeTHij1Ms3n+N56sXxd095YQmrbq92p0Oz3QiLCyUDRv+JDIyiiZNmjFs2GhWrfqFX3/9hXv3wqhTpx7Dh48hX778pn3/+OM3li9fxvXrPri6uvHMM53o3ft1bGxsEmzz22+/cuXKJWJjjZQsWYpevfqapuuOHzU8a9ZCpk+fzLlzZ8if35WuXV9McZTK22+/meApxEetWPE7RYsmnoqqUKHCABw9ehhr6//ijO9ETk7BgoXp3r2HqdEUwMrKiuLFSyQYcQNw9+5dvvhiPAMHDmbJkh8SvBcZGcmhQwd47bWE0/88/XRLli37kSNHDlOvXgMqVqxM06bNE3RQu7u7kyePE76+1wDYuvVvihUrniB2g8HA7Nn/PXl55colAJo0aZrgeDVq1GbZssWcP3+W8uUrkJQff/yOfft2M378l+zY8U+iEe/nzp3B1/d6oqneX3zxZV588eUkyxSR7Ev5omy/EMTV4Pu42NvQqUphS4eTK9g8lAf8ceIWrWvdoYZHwgfTunXrSIcOHbNdLterVy/27t2b7PuWyuXOnTub4vSHYWFhtG3bnpYt2yR4PX7qyevXr5k6wUeMGEq1ajX44otv6NatY6KyunV7iaZNn0rwsKGtrS0QlzMmp1QpL15+uWeCpWccHBwoWLAQ16/HPagSGxvLxYvnadWqbbLliIhkJ8pFJSsxGo0s3BU3NXf3WsVxcdAYtszwwkMPGyze58MbrSpn21w4s9s1IW4K9OvXrzFt2uwkR1GfOHGc0NAQmjVrYXrNYDDw1FNPM3fut0REhGMwWKWqXRMenwvHO378KCtX/sK4cRMYOfL9BO/t3bube/fC6NKle4LX3377vRTPdfv2rdja2vLss88leH3cuImm/xcsWIgFCxJOIW9lZYW1tTVRUZqFSyQzZfhv0fbt21OzZk26detG27ZtNXJPMsXOS0HcDY/G3cmO2iXyWzqcLOvpcu7ULJ6XQ9fvMnP7JWZ7mX/q0eXLl1KnTj0+/XQCp0+fZO7cbzlz5hQFCxZi+PDRXL16hVmzpuPm5s7778eNLFm8+DvmzZtF167deeedoZw7d4aFC+fh53eLUaM+BuKmq5k27Wtee+1NBg16l7t377B06Q+MG/chlStXpUiRuHXOY2Nj+fjjkXTv3oM33xzI2rVrmD17BmXLlqd+/aRHwLz//sgknxCMV6BA0vXUrNnTFC8+nzFjRlCvXn1iYmKIiooyNTgmp2XL1gnW2Ya4aTUPHTqQaE3wqVO/olQpL557rmuiTnBf3+tERUVRsmTCNXqKF4/7Y97H58qDUUn9EsVw8OB+QkLu4uVVBoDz589SpkxZNm3awA8/LODaNR+KF/fgzTcH0rx5SwDy53cF4MaNG5QpU9ZU1vXr1x687ptsJ3jnzl0ZNOhdbGxs2LHjn0Tvnzt3FgB7e3uGD3+P/fv3YWdnR9u27Rk48F3s7e2TLFdEsifli7J0vw8Az1cripOdGvosYcLmcyztVQtb64SzuGTHXO6TTz7h2jU/Hpk93MQSuVx4eDjXrvlw/fo1evd+mStXLlGggDtdu3bn5Zd7YjAYcHFxYciQ4YnK/+efuGVm4vM0gG+/nZ8g/3qUq6srrq5xuVpERATnzp1h8uQv8PT0NDUeJiV+pMrDrl69wsWLF6hTpz4APj5XCQ8P58SJY7z00gpu3LhOsWLFefXV12jf/tlkyxYRyaqUi0pWsv1iEGf9w8hja83LtTQKPLPYPZQDLz/oS4e6peP+nw1z4cxu1wR4440BeHmVSXLdbvhvlHlSbZYxMTFcv34NKyvrVLVrwuNzYYgbff7555/y6qt9KVOmXKL3z58/i7OzM7dvB/PZZx9x8uRxXFzy0rlzV/r06Zfs7Jbnzp2lRIlSHDlykNmzZ3Lhwjnc3QvSs2cfUy5tZ2dneng1NjYWPz8/li9fiq/vNYYOTZzvi0jGyfAWpm3btrFmzRoWLlzIZ599Rvv27enSpQs1a2rKB8k48VOht6lQEGtNp5ksg8HAe83L0GfpIdaf9GPf5SC8nB+f2KRFnjxOjB07ERsbG+rWrc/69WsJCAhg3rwfcHZ2pmHDJhw4sJ9jx44AEBoayg8/LOS557rw3nsfAHHTSebLl49Jkz6ne/celC5dBl/f67z0Us8EHbpFixbn9dd7cuzYYYoUiZue22g00rdvP559tjMAVatWZ9u2LezcuT3ZZNHLq/QTnmse5sz5joUL57J58wZCQ0Pp0KElnTp15q23BqcqaQSIiYlh4sTPuH//Hj17/vdk57ZtW9i+fRs//vhzkkllaGjIgzicEsUFJJsABwcH88UXn1OoUGFTw+Xt28H4+FzlzJnTvPHGANzd3Vm1aiUffTSSL7/8hoYNm9C0aXNmzZrO559/zLBhoylVypMjRw7z00+LgbhphZJTqpRninVw+3YwAKNHD6NVq7a89FJPTp06wcKF8wgODk7wdKWIZH/KF3O3EzdDOHT9LtZWBrrXTDwiQTJefkdbLgXeY8n+a/Stn7DRKTvmcmXLliV//sLJdoInJyNzufPnzxEbG8u1az706/cWLi552bFjG7NnTyck5G6y0y0eO3aEpUt/oGnT5pQu/V8n+OMa/R7Wu/dLXLvmg52dPTNmTMfe3j7VdRMeHs748Z9ib+9At25xo2TOnTsDwK1bNxk8eAg2NjZs2PAn48d/SlRUFJ06PZ/q2EREsgLlopJVGI1GFu6OWwu8W41i5Hc0bxudpE5kjJHp2+JmP8yOubAl2jVLl045N01Nm2V8W2dq2jVTkwvPnj2DPHkc6dmzD/7+foneDw4OJiYmhmHD3uXFF1/m9df7s3fvbr7/fgHh4eEMHPhOkuXevh1MQIAfY8d+xGuvvUmpUp5s3ryJyZMnAYkfKl28+Dvmz58NwLPPPpdo2UsRyVgZ3gleoEABXnvtNV577TVOnjzJn3/+yciRI7GysqJr16506dIFNze3jA5DcpHQiGi2XwwCoL2mQn+sSkVc6FS1CGuO3eSj347z/Ss1sE7mqb0nUbFi5QRT/bi5FcDJySnB+jD58uXj4sXzQNw0NeHh4TRu3Izo6GjTNo0bNwNg//49lC5dhsGDhwBxyeW1a1e5evUqBw7ETXv58H4AlStXM/3fzs6O/Pnzp9hBGxMTgzGFlsGHz+dRrq6ufPDBSFq0aMX33y+gcOEiLF++DDCYYk5JdHQ0n332Mdu3b+WDD0aanhoMDg7m668nMmjQO0lOWQRxTxYCyT51aTAkfoIxIMCfoUPfJjg4mGnTZpkSy6ioKAIDA1i4cAne3nGjuWvVqkufPi/z/fcLadiwCa6urkyd+i0TJozlzTf7AODhUYL+/Qfx2WcfJ5hGM63ipwZq1qy5KemsVasOsbFG5s6dSb9+/SlZ0vOJyxeRrEX5Yu62dH/cDCJtKxSkkItm+rCEwc08Gb3Fh4W7r9KqfEFKuP73Ozy75nLR0dHJdvRaIpcrVcqTr7+eTsWKlUxTZdapU4+IiAh+/nkJPXr0TrR+4pEjhxgxYgjFinkwatRHjz12cuJHJa1bt5YBAwbw4Yef0qZNh8fuFxYWysiR73P69EkmTPiawoXjRiTVqlWHr76aSq1adUzrMtav35Dg4CAWLpxDx46dk81HRUSyIuWiklXsuhzMyZsh2NtY0aOORoFbipUB/j4XQNHoWKpUyp65sKXaNZMT32aZWFycBoMVsbExD/6f+nbN5Bw8uJ/ff1/NvHk/JHu+0dFR3L9/n9df789LL/UE4vLckJC7rFjxE336vJ6oQx4gKiqa27dvM378lzz1VNz07rVr1+XWrZt8//2CRJ3gTZo8RfXqNTl9+iSLFs3Hz+8WU6bMTPW5iEj6ZNpcg9HR0fj6+uLr60tgYCAlS5bkyJEjzJkzhzFjxvD883paXMxjy7kAIqJj8XRzxLuQ8+N3EN5u4sWWcwGcvhnCysO+dK9pvkTbySlxshDfWJaUu3fvADBs2LtJvh8Q4A/ETbn95ZcTOHhwHzY2NpQs6UnZsnFPAT6a6D06lZmVlVWKyeC77w54orVzHlW4cBHGjPkUGxtbfvttJYMGvZvsVDoQt973mDHDOHz4IEOGDKdz5/+SpsmTJ+Lp6cWzz3ZOkAwbjUaio6OxtrbG2TluTfdHR3zfu3cPIFHD6oUL5xk27F3u37/P5MnTqVixsum9PHnyUKCAu6kDHMDa2po6deqzZs0q02sVKlTixx+X4+/vR3h4OB4eJUzre7u45H1sHSUnPsls1CjheuMNGjRk7tyZnDt3Vp3gIjmQ8sXcx/dOOP87G/e7vUdtDwtHk3u1Kl+Q3y6EsPfqbb743zlmdK1qanzKjrlcnz59nmhN8EeZM5dzcXFJcj3whg2b8Mcfv3H58iWqVKlqen3z5o1MmDCWEiVKMWXKjARre6dV3bpx00bWq9eA27cDWbRo/mM7wW/dusnw4e/h43OVceMm0bjxfzmZm1uBJNeGbNSoCfv37yUoKDDZaTZFRLIy5aJiSQ+PAu9avShueewsHFHu9VzVIiw7fZs74dGmwSIPy+q5sKXaNVMS32Z579498ub9r73w3r37D953NnWUp7ZdMzlhYWFMmDCOHj164+npRXR0tKns2NhYoqOjsbGxMV3bR9se69dvxJo1q7h06RKVK1dJVH6ePHkwGAw0aNA4wesNGjRk795dBAUF4uZWwPR6/Kj1GjVq4ezswqRJn3H06GGqVauRqvMRkfTJ8E7ww4cPs2bNGtavX4/BYKBjx44sWbKEChXiOlb++usvJZJiVvFToberWEgjEFIpfx5bBjbxZNLm88zecZlW5QtSwMkyyXZ8UvTxx58nWgMGwNXVjdjYWIYNexdbW1vmzfuecuW8sbGx4dKli2zcuD7dMQwfPtqUYCXF3b1gkq8vWfI9J04cZ+LErxO8Xq5cef74YzUhIXdNI38edevWTYYOfZsbN3z59NPxtGzZJsH7W7f+DUDz5gnXcNyw4U82bPiT6dPnULlyVaytrbl+3SfBNvHfe3p6mV47cGAfo0Z9gLOzM99+Oy/RtEUeHiXx87uF0WhM8DmKjo42rcd9585tdu7cQcOGTShY8L9ZF06fPoWVlRXlynknea6pUaJE3Ho/kZGRCV6PfwBAa4KL5CzKF3Ovnw9eJ9YI9Urmp7weXrQYg8HAyFbleOmH/ey5cpuNp/1p94QzKmWFXG7s2LFcv+6f7PuWyOVOnz7F6dMneO65rglyq4iIcADy5/+v3GXLfmT27BlUr16TSZOmpLrB72EHDuwjMjIiUWd1lSpVOHLkSIr7nj9/jvffH0xERARffz2dWrXqJHj/0KED3Lx5I9H63xEREVhbW6frQUgREUtQLipZwX6f2xz1vYudtYFedfRwqCW93rAkay+HEh4by9Xg5EdcJyUr5MKWaNd8nJIlSwFxbZR58/43COf6dR/s7OwoVqw4RqMx1e2aKTl+/Dg3bvjy3Xfz+e67+QnemzTpMyZN+owdO/bj4RF3feJno4z3uLbHEiVKPBiUFJVgm4f38/W9zsGD+2jdun2CbeIHIPn53UrVuYhI+mV4J3iPHj1o0qQJY8eOpUWLFonWjqhYsSItWrTI6DAklwgIjWC/z20A2lbQVOhp8Xy1ovx5yp9j1+8wY/slPm335B2Y6VG5chVsbW0JCPCjTZt2ptfPnz/HjBnf0LdvP+zs7Lh69QrvvPN+gtHLu3fvBFKaYid1nnSEcUhICDt2bOPq1csJXj969DD587smmyiGhYXy3nsDCQoKZMqUmdSoUSvRNgsW/JjotREjhuLtXZHXXnuDkiVLYW9vT/XqNdm2bQsvv9zL1MC6Zcv/cHZ2oVKluLo6e/Y0I0YMoWjRYkyZMjNBB3a8hg0bs2XLZvbt20O9enEd71FRUezZs5Pq1WsAEBtrZMKEsbz//kg6d+4KxD2d+ccfq6lZszYuLi6pqrekVK9eC0dHRzZv3kiTJs1Mr+/Y8Q/W1tYJpoISkezPnPliUFAQ3bt35/PPP6d+/fpJbtOvXz/27NmTYFq0adOm0axZsyS3l4wREh7NmmM3Aeihhj6LK+HqyOsNSjH738tM2XKBBp6uT1ROVsjlSpcuTd68BdO8JnhG5nLnz5/l668nUaJEKWrXrmt6/e+//6Jw4SKm0Ti//fYrs2ZNp0WL1nz00bhUr0P+qHXr/mD37n9ZseJ30ww70dHR7Nq1i7JlyyW7361bNxkyZBDW1tbMnr0wyTUlDxzYxw8/LKRq1ep4eMQ9uBgbG8uWLf+jUqUq2Nlp5JqIZC9qu5SsYMGuuFHgnasWxd1ZD/5bUj4HW95oWIoZa+CMXygh4dG4OKSuGyUr5MKZ3a6ZGlWrVsfR0ZEtW/5nOmej0ci2bVuoUaOWKX9MTbvm41SuXDlRO2pAQAAjRw6lb983TDMc1a/fEIPBwObNGxOsMf7vv9vIly9fsp3uDRo0ZtmyxWzevInnnutien3Hjn8oU6YcTk7OnD59ikmTPsfOziHBfbBnT9w1Llu2fKrORUTSL8M7wRcvXkytWokbAf755x+aNWuGh4cHkyZNyugwJJfYdMafWCNULZoXj/xPvh5xbmRtZWDcc5V5ftZO/jxxi85VilDD48mnXXxS+fLl55VXXmXBgjmEhYVRs2Zt/P39WLBgDgaDgbJly+Ps7EzRosVYteoXChUqhItLXvbs2cWKFT8BEB6etqc0zeX557vx228rGT58KC1btiYgwJ9p0yazefNGhgwZlux+CxfOxcfnKq+99iY2NrYcP37M9J6dnS3ly1cwrSf5MFtbW/Lly5fgvd69X+e99wby0UcjeeaZThw/fpSfflrMgAGDTdM1TZr0GdHR0bz22pvcunWLW7f+e/rQ1dWV4sU9aNOmPb/++gvjxn1I//5vU7BgIVas+Bl/fz8+++wL07YtW7ZhwYLZ2Nvb4+rqxuLF3xEQ4M8nn4w3lenndws/Pz/Kl/dOdaNonjx5eP31/sycORUXl7w89dTTHD9+lKVLf+CFF17G1fXJGuZFJGsyV7544MABRo4cydWrV1Pc7vjx4yxcuJB69eo9ccySfr8du8G9qBjKuOeh4RN2uIp59arrwYbTflwKvMfUbRefqAzlcknnci1btuGnnxbz2Wcf88YbAyhQwJ2//lrPjh3/MHbsRKytrQkMDGDGjCkUKVKUrl27c+bM6QTHKV7cI9U5UI8er7Jt29988MG7vPLKq4CRlSuXc+HCBb755r81CC9dukhUVCTly8eNdpw69WuCg4P44INRhIWFJTgXJycnvLxK07lzN9asWcWIEUN47bX+ODg4sGrVCi5dusD06XNSFZ+ISFaitkuxtIPXbnPw2h1srQ28Wq+EpcMRoFv1osy2MhAZY2TB7isMaV4mVfvlxlw4NRwcHHjppZ58//0CbG1tqVKlGn/++TtnzpxKkD+mpl3zcZydnalYsVKCB2Jv3PAFoGjRYqZ21OLFPeja9UWWLfsRGxsbqlevyc6d29m4cT1DhgwzPTT/aLtmrVp1aNy4KdOnTyY8/D6lS5dhw4Y/OXbsCBMnTgbipj6vVasO33zzJaGhIZQsWYqDB/ezbNmPdOr0fKpHtYtI+mV4J3i/fv04eDDhGhShoaG8++67HDp0KKMPL7nMw1OhS9rVLOlK56pF+O3YTSZuPseSXrWwtX6ytV7SI75hcNWqFSxb9iMuLnmpU6ceb745yDQd5IQJXzNt2teMHz8WOztbPD1LM2nSFKZPn8yRI4fp1u2lTI+7SJGiTJs2m1mzprNs2Y9ER0dz5cplBg58l65duye7X/xU54sWzWPRonmJyly58o9Ux1C7dl0+//xLFi2ay+jRH+DuXoiBA9/l5Zd7AnFrDp09ewaAjz4amWj/9u2ffbDejw3ffPMt8+Z9y7x5s7h3L4zy5SswdeqsBOuEDx8+mlmzZjBnzgzCw8OpXLkq06fPoUKFiqZt/vjjN777bn6q1xyK99JLPXFxycvPPy9h7drfcHcvyOuv96dHj96pLkNEsgdz5IurV69m+vTpDBs2jCFDhiS7nY+PD3fu3KFSpcQPF0nmiYqJ5eeD1wF4pbaHlrDJImytrfiwTXn6/XSYP0/cokj0k41CUS6XsMyVK//A0dGRadPmMG/etyxYMIc7d27j5VWG8eO/olmz5gDs2vUvERER3Lx5g0GD+iU6zujRn9ChQ8dUnUvp0mX59tsFzJ37LRMmjCUqKpIqVaqxZMkSPDzKmBoFJ0+exM2bN1i58g+ioqLYuXM7AF9/PTFRmTVq1GLmzHm4u7sza9YC5s6dydSpX3HvXhgVK1Zm6tRZVK1aPVXxiYhkJWq7FEtb+GAUeMfKRSjsolHgWYGNtRV5HWwJAJYf8uX5qkXxLJB4ffCk5LZcOLVee+1NrK2t+f331fz00xI8Pb2YNGlKgrWxH9euaW7vvPM+hQoVZs2aVSxZ8j1FixZjxIgP6dixs2mbpNo1x42bxHffzWf58mXcvh2Mp6cX48d/ZZrN0tramokTv+a77xbw00+LCQjwp2jRYgwYMJgXXng5Q85FRJJmMBrTOknc4125coVnnnmGmJiYROvJxqtVqxZLly4196GTFRAQkubp8B5lMIC7u4tZypLHS2t9Xw66xwvf7cfaAOvfaoBrHk3Dlxbx9X3eJ4gXFu0n+H4UbzUuxesNSqWtoLAwCnoVBcD/0g1wcsqAaLO+gwf3s379WsaM+TTJ9/XzJPOpzjOX6jtzmbu+48vLSObOF/39/XF1dcXGxgZvb29+/PHHJKdDX7duHR9//DE1a9bk2LFjuLu706dPH7p165am+AMDzZNbFijgYpayspt1J2/x8bozFHCy44836mFnk/Chu9xcN6lhlvoJC8PdMy5nC7icMGf7+u/z/HzQl2J57Vnepw6OdtZmiDpzmOveOXAgLpf78MNPzRabpelzlTLVT/JUN8lT3aQsvn6CgkJwc8vY3DKtsmLbZWBgCOmcBVksJD1/jx31vcvrPx3G2srAqtfqUixf6ka7ipk91J4ZcPkGxgfLyQxdfZztF4No4OnK9C5Vcs3Du49r18yq1BaVM+g6Zn8ZfQ3T0m6ZISPBS5UqxYoVK7h79y5vvvkm8+fPT/C+vb095ctr3QMxr/hR4A083dQBng75HW0Z+nQZPlp3moW7r9KyfEE83VL3pKP8p2jRYjRt2tzSYYiIZFnmzhcLFiyYqu0iIyOpUaMGQ4YMoVy5cuzZs4fBgwfj5ORE+/btU328AgXM15BrzrKyA6PRyM+HDgPQt7EnxYokv/xKbqubtEpX/Tj+9+CBu7tLgk7wj56ryvaLwVy/fZ8fDvry4bPZb+aE9N47lSuXw9q6fYY/EGQJ+lylTPWTPNVN8lQ3KctqHeCgtkvJOhbuvgLAM5UKqQM8C3qveRl2Xwlm9+Vgtp0PpHk5d0uHlCnUrikiOUWGTYdesWLcVLhr166lRAmtZSIZy2g0aip0M2pboSDrTt5i1+VgJvx1jjkvVsMqlzzpaC5FixZL09TfIiK5kSXyxc6dO9O5c2fT902aNKFz586sX78+TZ3gGgn+5PZdDebkjbs42FjRrlwBAgJCEm2TW+smtcw2EvzBfwMCQuB+wqFnw1uU4d1Vx1n07yWalspP5aJZrwMjKea6dxwc8lGjRv0k78/sSp+rlKl+kqe6SZ7qJmVZeSQ4qO1SLO/EzRB2XgrG2gB96pW0dDiShJKujvSs48F3e3yYsvUCDTxdcbDNPrMkPSm1a4pITpFhneCffvopn376KbNmzUp2m4kTE68zJvIkjt8I4fqdcBxtrXiqbAFLh5PtGQwGRrYqR/fv93Po2h3+OH6T56oWtXRYIiKSw1giX1y5cmWiUd+RkZHY26dt7T2jEbM1dpuzrOxg8b5rAHSsUoR8DrYpnntuq5u0Slf9PLSf0Zjwe4BGXm60q1iIDaf8+GzjWRb3rImNdcJp67My3TvJU92kTPWTPNVN8lQ3KcuqdaO2S7G0BbviRoG3q1iIEq6OFo5GktO3fknWnfTjxt0Iftznw5uNPC0dkoiIpFKGtWJkwFLjIsmKHwX+VFl3HHPB03iZoVg+B95q7AnAtG2XCAiNsGxAIiKS41giXwwNDeWzzz7j5MmTxMbGsnXrVtauXUv37t0zPZbc6GJgGDsvBWMAXq5V3NLhyGO837wM+R1tOR8Qxo8PHl4QERHJKdR2KZZ0+lYIOy4GYWWI62SVrMvR1pohzUsD8MNeH67dvm/hiEREJLUybCT42LFjAT0xKRkvOiaWv874A5oK3dy61yrOxtN+nLoVyoS/zjG5c2UMmhZdRETMJLPyxZo1azJ27Fg6depE7969uXfvHm+//TaBgYGUKFGCL774gjp16mRoDBJn2f7rADQv567RLtlA/jy2DH26NB+vO8OC3VdoUc4dzwJ5LB2WiIiIWajtUixpwa6rALSpUIhSbsqvsroW5dypWzI/+67e5putF5ncubKlQxIRkVTI8PnsAgICmDBhAgD79++nUaNGPPvss1y4cCGjDy25xO4rwQTfj8Itjy31S7laOpwcxcbKwMftvLG1NrD9YhB/nrxl6ZBERCQHMne+eObMGerXr2/6/tChQ3Tq1AmIW/Jj4MCB/P333xw5coS1a9fSrl279J+EPFZAWCTrTsXlEj1qaxR4dtGuQiEaebkSFWNk/F9nidWoORERyWHUdimZ7YxfKNsuBGIAXtco8GzBYDAwrEVZrK0M/HMhkH8vBlk6JBERSYUM7wQfO3YsFy5cwGg0Mn78eDp06MDTTz/NuHHjMvrQkkusOxk3FXqbCoWwsdIoZXMr6+7Emw1LATB5ywVuhWhadBERMS/li7nDisO+RMUYqVrUherF81k6HEklg8HAyFblcLS14vD1u6w+esPSIYmIiJiVclHJbAt3x40Cb+1dULPsZCNeBfKYlnT6est5IqJjLRyRiIg8ToZNhx7v2LFjrFu3Dn9/f06fPs2iRYtwcXFJMDpH5EmFRkTzz4VAANprKvQM07NuCbaeD+TEzRA+33SW6V2qaFp0ERExG+WLOV94VAy/HvYFoEcdDwtHI2lVNK8Dg5p48fWWC8z45xKNvdwoktfB0mGJiIiYhXJRyUzn/EPZci4gbhR4Q40Cz276NSzJhlN+XLsdzo/7fHjjwcAhERHJmjJ8JPj9+/dxcHBg165dlC9fHldXV8LDw7GxyfD+d8kFtpwLICI6Fk83RyoWdrZ0ODmWjZWBT9t5Y29jxe7Lwaw5dtPSIYmISA6ifDHnW3viFnfCoymWz4HmZd0tHY48gW41ilGtWF7CImP4bONZjJoWXUREcgjlopKZFj0YBd6yfEFKF3CycDSSVk52NgxpXhqA7/dc5WrwfQtHJCIiKcnwTvBq1arx6aefMm/ePFq3bk1AQACjR4+mXr16qS7j9OnT9O3bl3r16tG4cWOGDx9OUJDW3RBYdypuKvT2FQtrZHIG8yyQhwGNPQH4ZutFfJTkiYiImZgjX5SsKybWyLID1wB4pVZxrLV8TbZkbWXgkwcPRe69eptfj2hadBERyRmUi0pmuRAQxv/OBgDwegONAs+uWnsXpIGnK5ExRr7YfE4Ph4qIZGEZ3gk+fvx4IiMjqVOnDv379+f69etERkbyySefpGr/8PBw+vXrR82aNdmxYwdr167l9u3bjB49OoMjl6zuVkgEB67eBqCdpkLPFC/VKk4tj3zci4rho3WniY7R2jciIpJ+6c0XJWv750IgPrfDcbG3oWOVIpYOR9KhpKsjbzf1AmDatotcu62HIkVEJPtTLiqZZeHuqxiBFuXcKVtQo8CzK4PBwIiWZbGzNrD36m02nfa3dEgiIpKMDJ/Xp1ChQkyaNMn0ffXq1ZkzZ06q9/f19aVChQoMGjQIa2tr7Ozs6N69O8OHD8+IcCUb2XjKDyNQs3heiuXTmoSZwdrKwNj23rzy40FO3Axh/q4rDGjiZemwREQkm0tvvihZl9Fo5Md9PgB0q1GUPHbWFo5I0uvFmsXYej6AAz53GLfhDLNfrK7R/SIikq2ZKxeNiYmhT58+FC9ePEF5IgCXAu+x+UxcZ6lGgWd/Hvkdea1BSeb8e4UpWy/QyMsNFwctoSAiktVk+E/msLAwli1bxuXLl4mNTThqdOLEiY/dv3Tp0ixYsCDBaxs3bqRy5cpmjVOyn/XxU6FXKmzhSHKXInkdGNW6HKPXnuK7PT7U93Sllkd+S4clIiLZWHrzRcm6Dl67w/EbIdhZG+hes7ilwxEzsDIY+LitNy//cIBD1+/y88Hr9KjjYemwREREnpi5ctGZM2eyf/9+ihdXziOJLdx9BSPQvGwByhdytnQ4Yga96pRgwyk/Lgfd59sdlxjZqpylQxIRkUdkeCf4qFGjOHToEPXr18fW1jZdZRmNRqZOncqWLVtYsmRJmvY1x3LR8WVo6enMkVJ9n/UL5XxAGLbWBlp5u+uamEFa7u82FQqy61IQf5y4xSfrzvBT79r/Pe340P4GQ8Lv5T/6eZL5VOeZS/Wducxd35l93cyZL0rWEj8KvGOVIhRwsrNwNGIuxfI58G7z0kz86xyzdlyisZcbngXyWDosERGRJ2KOXHTXrl1s2rSJNm3amDk6yQkuB93jrwejwPs1KGXhaMRc7GysGNmqHG/9cpRVR27wbOXCVCma19JhiYjIQzK8E3zPnj2sXLmSEiVKpKuc0NBQRo0axYkTJ1iyZAne3t5p2r9AAZd0HT+jypLHS6q+5+29BkCrioUp7eGW2SHlaKm9vye+WIOj07dzJfAeX269yKwetTAYDOBoZdrG3d0FnLTGUUr08yTzqc4zl+o7c2XX+jZXvihZyzn/UHZeCsbKAD01UjjHeb5qEbacC2D35WA+3XCGBS/XwEbToouISDaU3lw0MDCQMWPGMGvWLL7//vsnjsNg0EPE2dXjHkr+bs9VYo3QrEwBKhTRKPAs6QkH9dQpmZ9nKxdm7YlbTPjrHIt71sTG2urxO0qG0ICMnEHXMfvL6GuYlnIzvBPc3t6ewoXTN1311atXeeONNyhWrBgrV67EzS3tnZ6BgSEYjekKA4MhrnHZHGXJ4yVX3zGxRlYfjOsEb1nGjYCAEAtFmLM8yf09tl15+v10hPXHbzJz0xlerl0cwsJwf/B+QEAI3I9NsYzcSj9PMp/qPHOpvjOXues7vrzMYo58UbKexfvi8rUW5Qrikd/RwtGIuRkMBj5sU56XftjPiZshLN7nQ9/6Wt9SRESyn/TkorGxsQwbNoy+fftSoUKFdMXh5pY9H2iV/yT1N9SlgDA2PFjScVj7inEDRiTreWhQT4ECaRvUM/b5qvx7KYhz/mGsOO7H4JaaFt3SsusAAUlI1zH7ywrXMMM7wV955RUmTZrE22+//USd13fu3KF37940aNCA8ePHY2X1ZE9SGY2YrRHenGXJ4z1a3/uu3sY/NJK8DjY09HTTtTCztNzflYvk5d2nSjN5ywWmbrtI5SIuVM1nnaAsdH1SpJ8nmU91nrlU35kru9Z3evNFyXpu3A1n0+m4xr5X62kUeE5V2MWeD54uy6cbzjBv5xWalHajXEGNbhIRkewlPbno3LlzsbOzo1evXumOIygohFiNI8iWUnooecr6M8QaoUlpN4o6WGkwT1b10KCewMAQjGkc1PP+02X48M/TTP/7HPWLu1DaXTNjWoIGZOQMuo7ZX0Zfw7QM3snwTvBffvkFX19ffvrpp0TvnTp16rH7r1q1Cl9fX9avX8+GDRsSvHfo0CGzxSnZx/oHT0+29i6InY2ml7G07jWLceT6HTafDWDU2lMs7epNQUsHJSIi2Up680XJepbuv0aMEeqWzE/FwpZ/8lcyTodKhfj7XAD/XAjkk/Vn+KFHTWw1BaSIiGQj6clF16xZg5+fH3Xq1AEgPDwcgM2bN7N///40xZFdH2iV/zx6Da/dvs+6k7cA6NegpK5vVvbQtXmSz2Ib74JsOOXHjotBfLbxLPNfqoG1lgqyGP08zRl0HbO/rHANM7wTfNKkSenav2/fvvTt29dM0Uh2Fx4Vw5azAQC0r1jIwtEIxE2FOaZNec76h3E1+D7jN53lO0sHJSIi2Up680XJWm7fj2LNsZsA9K6rdd5zOoPBwKjW5Thy/Q7n/MOYteMy7z5V2tJhiYiIpFp6ctFHB+yMHDky3WVKzvH9Hh9ijNDQ05XKRfNaOhzJQAaDgZGtytH9+/0cuxHC8kPXeaW2ZsQSEbG0DO8Er1evHhA3rbmPjw+VKlUiOjoaOzu7jD605EB/nwvgXlQMxfI5UK2YkseswtnehkkdK9J32WF2X75t6XBERCSbUb6Ys6w45Et4dCzehZypVyq/pcORTODuZMeHbcoz7PeTLNl/jXql8tPQU0sbiIhI9qBcVDKCT/B91p6IezC0X8NSFo5GMkNhF3veaebFxM3nmb3jMs3KFMAjv6OlwxIRydUyfJ66sLAw3n//ferXr0/Pnj25fPkyrVu35uLFixl9aMmBfj8elzx2rFwYg0FTymQl5Qo6M7xFWUuHISIi2ZDyxZwjPCqG5YeuA/BqXQ/la7lI83LudKteFIBP158hMCzSwhGJiIikjjlz0UmTJmkUuAAwb9cVYozQyMtVA3lykc7VilLLIx/h0bFM+OscRkvPAywikstleCf4l19+yb1791i/fj22traUKFGCp59+mvHjx2f0oSWHuXb7Pgd87mAAnq1c2NLhSBI6VilMu0r/TVPvHxphwWhERCS7UL6Yc/x+/CZ3wqMpls+BFuULWjocyWTvPlWaMu55CLoXxacbzhCrRj8REckGlIuKuZ0PCGPjKT8ABjT2tGwwkqmsDAY+bFMeexsr9l29zaqjNywdkohIrpbhneBbtmxh0qRJeHl5YTAYsLW1ZeTIkRw7diyjDy05zNoTtwCoX8qVInkdLByNJMVgMPB+8//WgPzwz9NERMdaMCIREckOlC/mDNGxRpbuvwZAzzoe2FhpFHhu42BrzfhnKmJvY8Xuy8Gm+0FERCQrUy4q5jb338sYgRbl3KlQ2MXS4UgmK+HqyMAmngBM3XoRn+D7lg1IRCQXy/BO8NjYWNMaOvHTfzz8mkhqxMQaTZ3gHatoFHhWZm9jbfr/qVuhTNqsqX9ERCRlyhdzhs1n/PG9G4Groy0dNWtPrlXG3YmhT5cB4NsdlzlxM8TCEYmIiKRMuaiY04mbIWw9H4gB6N9Ya4HnVi/VKk7tEnHTon+y/gwxsWobFRGxhAzvBG/QoAHjxo3j/v37pjUBp06dSr169TL60JKD7LsazK2QCPI62PBUWXdLhyOpZGWIG8G//JCvpUMREZEsTPli9mc0Gvlxnw8A3WsVw8HW+jF7SE72fNUitCjnTkyskQ//PEVYZLSlQxIREUmWclExpzk7LgPQoVIhShdwsmwwYjFWBgOftPPGyc6aYzfumv5WEhGRzJXhneCjRo3i4sWL1K1bl5CQEGrWrMm+ffsYMWJERh9acpDfj8eNAm9XoRD2Nhl+24qZDDBN/XOBvVeCLRuMiIhkWebMF4OCgmjdujV79uxJdptt27bRsWNHatSoQfv27dmyZUt6whdg5+VgzvmH4WhrRbfqxSwdjliYwWBgTJtyFHax59rtcL7833lLhyQiIpIstV2KuRz0uc3uK8FYWxno11CjwHO7onkdeP/BDEnzdl7hjF+ohSMSEcl9bDL6AA4ODgwcOJBjx45RpkwZChYsSM2aNbG21ugQSZ0796PYej4AgE5Vilg4GkmLF2sU42RILOtO+jF67Sl+6FmT4vkcLR2WiIhkMebKFw8cOMDIkSO5evVqsttcvnyZwYMHM2XKFJo3b86mTZt477332LRpE4ULawrvJ2E0Gpm38woAz1crSj5HWwtHJFlBXgdbPu9Qgf6/HGHdST/ql3KlQyV9xkREJOtR26WYg9FoZNaDUeCdqxbBI7/avwSerVyYfy4EsvV8IJ+sP80PPWppgJeISCbK0E7wBQsWMHPmTCIiIkxr6jg5OTF06FB69OiRkYeWHGTDKT+iYoyUK+iEd2FnS4cjaWAwGBjVqhyXAu9x6lYow9acZOHLNXDUFKkiIvKAufLF1atXM336dIYNG8aQIUNS3K5OnTq0atUKgA4dOrBq1SqWL1/OO++8k76TyaV2XAzi5M0QHGyseLVuCUuHI1lIDY98vNGwFHN3XuGLzeepXMSFUm55LB2WiIiIidouxVy2nfXn8PW72NtY8Vr9kpYOR7IIg8HA6NblOOp7lwsB95jz72Xefaq0pcMSEck1MuyxoxUrVjBnzhzGjBnDP//8w/Hjx9m2bRsffPAB06ZNY+PGjRl1aMlBjEYja47fBDQKPLtysLXmq+cq45bHlnP+YXyy/gyxD/6wFBGR3M2c+WKTJk3466+/6NChQ4rbnT9/nvLlyyd4rWzZspw+ffqJziG3MxqNzH0wCvzFmsUo4GRn4Ygkq+lbvyS1PPJxLyqGYb+f1PrgIiKSZajtUswlJtbIpPVxf090rV6UQi72Fo5IshLXPHaMbh33N+iS/dfYdTnIwhGJiOQeGTYSfNmyZUycOJHWrVubXitcuDAvv/wy+fLlY/HixbRt2zajDi85xGGf25z1C8PO2kC7ioUsHY48ocIu9nzZqRIDVhxly7kAZu24zNtNvSwdloiIWJg588WCBQumaruwsDAcHRNOTejg4MC9e/dSHzhgMKRp8xTLMEdZlrLtfCBn/ELJY2vNq3VLmO1cckLdZCSz1M9D+xoMCb83JxtrAxM6VqTX4oNcCrzH2A1n+bJTRQwZdHF17yRPdZMy1U/yVDfJU92kLKvXj9ouxVzWnbzF6ZshONtb01ejwCUJT5UtQLfqRVl55AafrDvD0ldrUdBZD0uIiGS0DOsEv3z5Mk8//XSS77Vq1YrPP/88ow4tOciS3XFrerb2Lkh+rS+ZrVUvno8P25Tnk/Vn+GGvDyXzO9Kpqkb3i4jkZpbIFx0dHQkPD0/wWnh4OE5OTmkqp0ABF7PFZM6yMlNsrJEFew4B8FoTL8qWdDP7MbJr3WSWdNWP43+Tgrm7u0AaPwNp4e4Oc1+tQ/e5u9hyLoBfjvsx6OmyGXY80L2TEtVNylQ/yVPdJE91kzI3t6xZP2q7FHMIj4ph9oO1wF+rX1Ltl5Ks95qX4YjvXc75h/HxutPM7FYNa6ss+pSQiEgOkWGd4AaDARubpIu3s7NL1Pgo8qjb96NYe9QXgK7Vi1k4GjGHDpUK4xN8nwW7rzJh8zmK5XOgTsn8lg5LREQsxBL5Yvny5Tlx4kSC186fP0+VKlXSVE5gYAjpXd3DYIhrNDdHWZaw+Yw/p2+G4GRnzfOVChIQEGK2srN73WQ0s9RPWBjuD/4bEBAC92PNFV6SSuaxYXjLsozfdI6vN56hhLMtjbzM/+CE7p3kqW5SpvpJnuomeaqblMXXT1BQSJbsCFfbpZjDTwev4xcaSfH8jnSvVdzS4UgWZm9jxYRnK/LqkoPs97nDd3uu0q9hKUuHJSKSo2XYmuAi6bX2+C0iomMpX8iJKkWz3h9L8mTebFSKNt4FiYk1Mvz3k1wOStv0syIiIunRqVMn9u7dy7p164iOjmbdunXs3buX5557Lk3lGI3m+TJnWZn5FR3z31rgr9QuTl4HW7MfI7vWTWZ9maN+zH0/P+6rc9WiPF+tCEZgzNrT+ATfz7J1k1O/VDeqH9WN6sZS9SOSEwXfi+SHvT4ADGvrjb2NmtolZZ5ueRjZqhwA83dd4YDPbcsGJCKSw2XYSPDo6Gh+++23ZN+PiYnJqENLDhBrNPLrkbhR4N2qF8uwNQMl8xkMBj5u582NuxEcu3GXIauP893LNcmfR9NFiYjkNpmVL9asWZOxY8fSqVMnypQpw7fffsvXX3/NmDFjKF68ODNmzMDLy8ssx8ot/nfWn0uB93Cxt+HlWh6WDkeykQ+eLst5/zCO3QjhgzUnWPRyTfLYWVs6LBERyYXUdinptWDXVcIiY6hQ2JlO1YsRFBRq6ZAkG+hQqTB7r97mzxO3+GjdaZb2qoVrHjtLhyUikiNlWCe4u7s706dPT/b9AgUKZNShJQfYd+U2PrfDcba3oV3FQpYOR8zM3saKrztXou/SQ1y7Hc7w308ws1s17PTErIhIrpJR+eKZM2cSfH/o0KEE3zdt2pSmTZs+UdkCMbFG5j0YBd6jTnFcHDLsTwrJgexsrPiiUyV6LTnEhYB7fLbxLBOeraCHXkVEJNOp7VLS40rQPX49egOAd5/ywkprO0saDG9RluO+d7kSfJ8xf55meteq2OgeEhExuwxrsfr7778zqmjJBVY+GAXepVZx8thZa+qsHMgtjx3fdKnCa8sOc+j6Xcb/dZZP23mrAVREJBdRvpg9bTztx5Xg++RzsKF7Ta17KGlX0NmeLzpWpP8vR9l81p9K+53pVbeEpcMSEZFcRrmopMesHZeJiTXS2MuNuiVdLR2OZDN57Kz5olMl+i47xL6rt5n5zyXea17a0mGJiOQ4GnYpWY5fSATbLwQC0LNBKQtHIxmpdAEnvuhYCWsDrDvpx8LdVy0dkoiIiKQgOtbIgl1xo8B71vHA2V6jwOXJVC+ejw+eLgPAzO2X2HkpyMIRiYiIiKTOAZ/b/H0uACsDDG6mZZXkyZRxd+KTdt4ALD1wjY2n/CwckYhIzqNOcMlyVh+9QYwRannko3xhF0uHIxmsvqcrw1uVg/+zd99hTZ1tGMDvDPZeinuAgCIIiuLAurXurW2tVbusWzsctbuu1tY9PtvaWq3aWpzVWmtb9x64J6KCIiB7E5K83x+BSGQrkATu33Xlgpz55DkZzznvOe8BsOb4fey5Gq3niIiIiKgwe69FIyIxE/YWJhjGq8DpOQ1uVgP9m7pCLYCZf1zD9egUfYdEREREVCSlWuCb/+4AAAb61oCbs5WeIyJj1sXDBaNbaXpE+vLvW7gVw/vKExGVJTaCk0HJzFYh+KLmfjpD/WrqORqqKIN8a2BkQG0AmoLv5D1eCURERGRolCo1fsjpteW1lrVhaSrTc0Rk7CQSCWZ0dUfLuvbIyFZj6rYreJCYoe+wiIiIiAq19UIkQmPTYGcuxzvt6us7HKoE3mlXH63rOyBLqcYHu64hMSNb3yEREVUabAQng/Ln9RgkZmSjhq0ZOnk46zscqkATX2iAHl4uUKkFZuy6jhu8EoiIiMig7LoShcikTDhamvBkRSozJjIpvu7XBI1crBCfno0p264gMZ0H/oiIiMjwJKQrsOa45tZA44Pqw97CRM8RUWUgk0owp5cXatmZIzIpE7N3X4dSpdZ3WERElQIbwclgqIXAprMPAAAvNa8FuVSi54ioIkklEnz6oida1rVHerYKU7ZdwcMkXglERERkCFIylVh9THPAb0xgXZib8CpwKjvWZnIsHdQUNWzNEJ6QgWk7riAzW6XvsIiIiIh0rDx6DylZSnhVs0Z/nxr6DocqETsLE3zT3xsWJlKcDk/Egn9CIYTQd1hEREaPjeBkMI7fjcf9hAxYmcrQr6mrvsMhPXj6SqDJW3klEBERkSH47sR9JGZko4GTJYY04wE/Knsu1mZYNsgHduZyXHmUgg93X4dSzQN/REREZBiuRaVg1+UoAMD7nd0g48U7VMbcXawwt3djSCXAzitRWHc6Qt8hEREZPTaCk8HYmHMV+EDfGrA2k+s5GtKX3CuBXG00VwK9yyuBiIiI9CosLg2/hzwEALzX0Q1yGXchqHzUd7LEtwO8YSaX4khYPL765zavgCEiIiK9UwuBhf+FQgDo1aQamtWy03dIVEm1d3PC+53dAQCrjt7DX9dj9BwREZFx4xEsMgg3o1NxNiIJMqkEw/15j8mqzsXaDMsG+8DWXI7Lj1Iwe88NXglERESkB0IIfPvfHagE0NHdCYH1HfQdElVyzWrZ4cteXpAA2HE5CmtPhus7JCIiIqridl+NxpVHKbAylWFS+wb6DocquaF+NfFqQG0AwBf7buJcRKJ+AyIiMmJsBCeD8Ms5zVXgXT2c4WprrudoyBA0cLLEopwrgQ7ficPCf3kvHCIioop2KDQOp8MTYSqTYEqHhvoOh6qITo2ctVfArDl+H9suPdJzRERERFRVxaUpsPRQGADgzTb14GxtpueIqCqY9EIDdPFwRrZK4IOd1xAWl6bvkIiIjBIbwUnvopIzsf/mYwDAiJyz3IgA3SuBtl16hO9P3Nd3SERERFVGllKNxTkH/EYE1EZtews9R0RVyTD/mhjdqg4AYP7+29h2MVLPEREREVFV9M1/d5CcqYRnNWu81LyWvsOhKkIqkeCzFz3hU8MWKVlKTAy+jAeJGfoOi4jI6LARnPRu/ZkHUKkFWtSxQ+PqNvoOhwxMp0bO+KCL5kqg70+EY/P5h3qOiIiIqGrYdO4BIpMyUc3aFKNb1dV3OFQFjQ+qj5dzDjbP/ycUW0LYEE5EREQV51BoHP659RgyCfBxdw/IpRJ9h0RViLmJDIsGesPN2RKPUxUY//slRCVn6jssIiKjYlSN4PHx8ejWrRtOnTql71CojESnZGHHZU33hm+1qafnaMhQDfWribFtNe+PRQfuYPfVKD1HREREVLlFp2Thx5x7MU96oSEsTWV6joiqIolEgmkdG2JEC01vUQv/C+UJkURERFQhUrOU+Orf2wCAEQF14FndWs8RUVVkb2GCFUN8UcfeHI+SszAh+DLi0hT6DouIyGgYTSP4uXPnMHz4cISHh+s7FCpDP5+OQLZKoHltO7SoY6/vcMiAvdG6Ll5pobkSaM6+Wzh4O1bPEREREVVeyw+HIVOpRrOatujh5aLvcKgKk0gkmNKhAV5rqekafdGBO9h49oGeoyIiItJ148YNjBkzBq1atUK7du0wffp0xMfH6zsseg7LD9/F41QF6jpY4K027BWJ9MfZyhSrhvrC1cYM4QkZmBh8GUkZ2foOi4jIKBhFI/j27dvx/vvvY9q0afoOhcpQ3qvA327Lq8CpaBKJBFM7NERf7+pQCeDDPddx+n6CvsMiIiKqdC4+TMK+G48hAfB+ZzdIJOz2kfRLIpFgYvv6eD1Q0xC+5FAYNpyJ0HNUREREGpmZmXjzzTfh7++Po0ePYvfu3UhMTMSHH36o79DoGZ2LSMS2S5pjlh92awRzE/aKRPrlamuOVUN94WxlitDYNEzayoZwIqKSkOs7gJIICgpC3759IZfLn7khvCyO3eUug8cBy0beq8AD6trnG898V6wyy3ee+SUS3efPSyKRYHYPD6QqVDhwOxbv77yK1cN80bSGbdmtpILw/V3xmPOKxXxXrLLON7db1aVSCyz87w4AoL+PK7yq2+g5IiINiUSCd9rVh1QiwQ8nw7Hs8F0o1QJjAnllFhER6VdkZCS8vLwwYcIEyGQymJqaYvjw4Zg+fbq+Q6NnkJmtwrz9mm7QB/q6sudKMhh1HCywcqgPxv52CdejU/HOlktYMcQHTlam+g6NiMhgGUUjuIvL83fB6ORUdgfwynJZVdWjpAzsvKy5r/MHPRvD2bnwnDLfFeu5823xpIMJZ2cbwMrqOSPK73+jAvDmz2dx5HYsJm+9gk1vtUbTWnZlvp6KwPd3xWPOKxbzXbGYb3peOy8/ws2YVFibyTA+qL6+wyHSIZFIMLZdfUilEnx3/D5WHb2HLKUaY9vWY48FRESkNw0bNsQPP/ygM2zfvn3w9vYu1XIkEp6MagiWHApDeEIGXKxNMaVDwxJtE54EXgmU40U9ZcnN2Qprhvti/O+XERqbhrd/u4hVQ33gamuu79AMAj+LlQO3o/Er721YmuUaRSN4WYiLS4EQz7cMiURzcLksllXVLfonFAqVGs1r26GRnSliY1PyTcN8V6wyy3daGpxz/o2NTQEy1GURXj5ze3piYpoClyKTMeL7k1g9zBce1azLZV3lge/visecVyzmu2KVdb5zl0dVy4PEDCw9dBcA8Hbb+nCw5BUFZJjealMPcqkEq47ew9qT4XiYlImPunvATG4Ud/siIqJKTAiBJUuW4MCBA/jll19KNa+jI+tvffv7ahS2XtR0g754uD/q13Io1fzchzJieS7qcXIqn4t6yoqzsw22jrPBiB9OITwhA2O3XMbGNwNR39lwY65o/CxWDtyOxs8QtmGVaQQXAmV2EL4sl1UVRSRkYHvOfXXealOv2Fwy3xXrufOdZ14hdJ+XJQsTGZYOaopJWy/jyqMUjNtyCauH+aKRi/E0hAN8f+sDc16xmO+KxXzTs1KqBT758ybSs1Xwr22HYX419R0SUZHGBNaFnYUJvv7nNv66HoPIpEx8078JHNkdJBER6UlqaipmzZqFq1ev4pdffoGnp2ep5o+PT4G6fK4joBJ4nJqFD4IvAgBGBtSGl4NZgRftFIQngVcCeS7qiYtLgSini3rKijWANcN8MP73ywhPyMDg1cexcogP3F2qdkM4P4uVA7ej8SvvbViai3d4qjxVuGWHw6BUC7Su71DgvcCJSsraTI7lg33QxNUGSZlKbVdAREREVDrrToXj8qNkWJnK8HlPT8ik7HeMDN8g3xpYOtgH1mYyXIpMxuhNFxDGWpCIiPQgPDwcgwcPRmpqKoKDg0vdAA48OaGVj4p/qNQCn/55E0kZSnhWs8Y77eqXehnchsb/MLbPYnUbc3w3vBncna0Ql6bAG5sv4PjdeL3Hpe+HMW1DPrgdK/OjvLdhSbERnCrUuYhEHAyNg0wCTO3QUN/hUCVgbSbHisE+aFzdGokZ2Ri/5RLC4njwk4ioqomLi8P48eMREBCAwMBAzJ07F0qlssBp33zzTfj4+MDf31/7OHz4cAVHbDiuPkrGDyfuAwBmdHVHDd5PjoxIYD0H/PiyP2rZmSMyKRNjNl3AkduP9R0WERFVIUlJSRg1ahSaN2+OtWvXwtHRUd8hUSltOvcQp8MTYSaXYk4vL5jyFitkJJysTPG/Yb5oXtsOaQoVpm27guALkfoOi4jIYBjdL/rNmzcRGBio7zDoGajUAosPhgEABvjWgBvvU0JlxMZcc0W4h4sVEjKyMW7LJdyNS9d3WEREVIGmTp0KS0tLHDlyBMHBwThx4gTWrVtX4LRXrlzB2rVrERISon288MILFRuwgcjIVuGTvTehEkB3Txe86FVN3yERlVoDJ0use8UffrVskaZQYfRPZ3jwj4iIKsy2bdsQGRmJvXv3okWLFjonWpLhuxmdipVH7gIA3u3YEPWdLPUcEVHp2FmYYMUQH/T2rg6VAL76NxSLDtyBSl2KSyWJiCopo2sEJ+O151o0bsakwtpMhrFt6+k7HKpk7CxMsHKoLxq5WCE+PRtv/3YRN6NT9R0WERFVgPv37+P06dP44IMPYGFhgTp16mD8+PHYuHFjvmkjIiKQlJSEJk2a6CFSw7PkYBjCEzJQzdoUM7q6QyJhN+hknOwtTbByiC96NqkGlVpgwT+hWPhvKBRKw76fIxERGb8xY8bg5s2buHDhgs5JliEhIfoOjYqRlJGNGX9cg1It0MHNCQN9a+g7JKJnYiKT4tMeHhjXrj4AYPP5h3h/51WkZBbcOxoRUVXBRnCqEOkKFVYdvQcAeD2wLhwsTfUbEFVK9hYmWDXEF17VNF2jv/P7RVyKTNZ3WEREVM5u374Ne3t7VK9eXTvMzc0NkZGRSE7W/R24fPkyrKysMG3aNLRu3Rp9+vRBcHBwRYdsEA7ficO2S48AAJ/19IStuYmeIyJ6PqZyKb7o6Yl3u3kAALZciMToTSG8VQ4RERHlo1ILfLTnBh4mZaKmrRk+6uHBE0LJqEkkErzeui7m9vaCqUyCo2HxGPnLeV4kRERVmlzfAVDVsO50OOLSFKhtb47h/rX0HQ5VYvaWJlg9zBfTtl/BhYfJmBh8Cd8O8EbLug76Do2IiMpJWloaLCwsdIblPk9PT4etra12uEKhgJ+fH6ZNm4ZGjRrh1KlTmDRpEqysrNCzZ88Sr7Msjo/lLkMfx9ri0hSYs+8WAODVgNpoVc+wfif1mRtjUCb5yTOvRKL73JhJJBJM7tIIdaxN8Plft3D7cRpe+yUEUzs0xBC/GlX64DY/V0VjfgrH3BSOuSka80OGbOWRuzh5PwFmcikW9veGvQVPCKXKobtXNdSyt8CsP67hYVImXt8cgvc7u2OAj2uVroWJqGpiIziVuzuxaVh/5gEAYMoLDWEqZwcEVL6szeRYNtgH03dew8n7CZi67Qq+7OWFzh4u+g6NiIjKgaWlJTIyMnSG5T63srLSGT5gwAAMGDBA+zwoKAgDBgzA3r17S9UI7uRk8+wBl+OySkIIgem7zyIhIxterjb4eEBTmMllFRpDSVV0bozNc+XH4klN7uxsAzz1WTF2AwPro11jV7z3+0UcuR2Lr/4NxbnIZHw12BdO1mb6Dk+v+LkqGvNTOOamcMxN0RwdmR8yLPuux2DDWc2xyk96eMCjmrWeIyIqW96uNtjwanN89tdNHA2Lx7z9t3HhYRJmdm0ECxPD3PcjIioPbASncqUWAvP234ZKLfCCmxM6uDvpOySqIixMZPh2gDdm77mOg6FxmPnHdbzfWYFh7ImAiKjSadSoERITExEbGwtnZ2cAwJ07d+Dq6gobG92DrsHBwfmu+lYoFDAzK12jWFxcCoR4vrglEs1B87JYVmn8HhKJ/27EwFQmwWc9PJCSmI6Uilt9iegrN8aiTPKTlgbnnH9jY1OAjMpx7+y8uZEK4Nt+jfHr+YdYfvgu/rkeg+6LDuGznp5o08BR36FWOH6uisb8FI65KRxzU7Tc/MTHp7AhnAzGzehUfPm3pkekUa3qoLtXNT1HRFQ+7CxM8O0Ab6w/HYHVx+7hz2sxuPIoBZ++6AnfmrbFL4CIqBJgIziVq60XH+FSZDIsTWT4oLMbu1yhCmUql2JB3yb45r9QBF98hIX/3UF0ShYmtG8AKd+LRESVRv369dGiRQvMmzcPX3zxBRISErBq1SoMGTIk37SpqalYtGgR6tWrBy8vLxw+fBi7d+/G2rVrS7VOIVBmB7vLclnFOXEvHt8cuAMAmNC+AdycrQz6oH1F5sYYPVd+8swnhO7zyiA3NxJI8HLz2gioY4/Ze27gblw6Jm29guH+NfFOu/qwNqt6u8T8XBWN+Skcc1M45qZozA0Zitg0BT7YdRVZSjXa1HfAuHb19R0SUbmSSiQYHVgXPjVt8cmfNxCekIG3fr2AVwPqYGzbeuyxlYgqPX7LUbl5kJiBZYfCAADjg+rD1dZczxFRVSSTSjC9izvGB9UHAKw/8wCf/HkDmdkq/QZGRERlatmyZVAqlejSpQuGDRuG9u3bY/z48QAAf39/7Nq1CwAwatQovPrqq5g4cSL8/f3xzTff4KuvvkJAQIA+w68QN6JTMHPXdajUAi82roaXmrN3FKo6GrlYY/0IfwzzqwkA+C0kEoN/PIPdV6OgZusMERFRpZeSqcTkrZfxKDkLdezNMae3F2RSXiBBVUOLOvb4dVQAejepBrUA1p+JwMhfzuNGtKH1CUZEVLaq3mnvVCFUaoHP/7qJTKUaAXXsMNS/pr5DoipMIpFgTGBdVLM2w5d/38K+G48RkZiJhf2aoJpN1b4nJBFRZeHs7Ixly5YVOC4kJET7v0Qiwfjx47UN5FVFZFImpm6/ivRsFQLq2uOTHh7sFYWqHHMTGT7o4o4gN0d8898dhCdk4PO/bmHrxUd4v7M7vF3ZVS8REVFllJmtwrs7ruD24zQ4Wppg6SAf2Jqb6DssogplYy7HZz290KmRM+btv42wuHSM3hiCYf618HbbelWyhyQiqvx4JTiVi/VnInDhYTKsTGX4uIcnD7KSQejtXR0rBvvAzlyOa1EpGLUxBFcfJes7LCIionKVmJGNyVsvIy5NgUYuVljYrwlMZNwNoKqrTX1H/DqqBSa1bwBLExmuPErBmI0hmLPvFuLTFfoOj4iIiMqQUqXGrN3XceFhMqzNZFg+2Ad1HCz0HRaR3nRwd8ZvowLQzdMFKgFsPv8Qg388gz+vRUOwhyQiqmR49IvK3MWHSVhz7B4A4L1Obqhpx27QyXAE1LXHuhH+aOhkidg0Bd7+7SL+uBKl77CIiIjKRWa2Cu/tuIr7CRmobmOGJQOb8gx/IgAmMilea1UHwa8HoFeTahAAdl6JwuAfz2Dj2Qe8dQ4REVEloBYCX+y7haNh8TCTS7FoQFN4VLPWd1hEemdvaYJ5fRpjxWAf1HWwQHx6Nj7dexNv/3aRXaQTUaXCRnAqU4np2Zi95wZUAujZuBr6eFfXd0hE+dS2t8Dal/3QvqEjFCrNDtFnf91EBg92EhFRJaJSC3yy9yYuRWquelk6qClvA0L0FBdrM3ze0ws/vNQMXtWskZqlwpJDYej3/Wn8dCocKZlKfYdIREREz0AtBBb+G4q912MgkwAL+jaGf207fYdFZFAC6ztg82stMCGoPszlUlx4mIyRv4Rg1h/XcT8+Xd/hERE9NzaCU5lRqgVm7bmO6JQs1HWwwIyu7pCwG3QyUNZmcnwzwBvj2tWHVALsuRqNURtDEBaXpu/QiIiInpsQAosP3sGB27EwkUnwTX9vuDlb6TssIoPVrJYd1o3wx+xujVDT1gwJGdlYdfQe+n5/CiuO3EVcGrtJJyIiMhZKlRqf7b2J4IuPAACfvOiJoIZOeo6KyDCZyqUYHVgXv48JQA8vF0gA/HPrMYavO4s5f99CdEqWvkMkInpmbASnMrP8cBjOhifCwkSKr/o1gZUpu9okwyaVSPB667pYNdQXTlamuBuXjlG/hOD3C5FQ8x44RERkxNadjsBvIZEAgM9e9ESLOvb6DYjICMikEgzwrYGtr7fE5z090dDJEmkKFX4+HYH+P5zGV//cxsOkDH2HSUREREXIzFZh+q5r2ivAv+jliV5N2FMlUXFcbc0xp3djbHytOYIaOkIlgJ2XozBw7WnM/fsW7vHKcCIyQmwEpzKx9WIkNp17CEBzoNWdVxqREWlRxx4bRzZHYD17ZCrV+PrfUEwMvoxHyZn6Do2IiKhUVGqBb/4Lxaqj9wAAUzs0RHevavoNisjIyGVS9GpSHZtHtcA3/b3hU8MGWUo1gi8+wqC1ZzBp62X8fSOG9w0nIiIyMKlZSkzZdgVHcu4BvrC/N3o2ZgM4UWk0crHG4oFN8cNLzdC8th2yVQI7Lkdh2E9n8cHOq7gcmazvEImISoyX6tJzO3InDl//GwoAeLtNPXT2cNFzRESl52RlimWDffB7SCSWH7mLM+GJePnnc5jSoSH6+7hCyq79iYjIwKUrVJi95zqOhsUDACYE1ccrLWrpOSoi4yWVSNDB3QkvuDni/IMkrDsVgZP3E3DynuZhbSZDN08X9G5SHb41bXkrKCIiIj2KTc3Cuzuu4np0KqxMZfh2gDd7QyJ6Ds1q2WHN8Ga4+DAJ6888wOE7cTgYqnn41LDBoGY10NXDBeYmMn2HSkRUKDaC03M5F5GIWbuvQy2Afk2r4802dfUdEtEzk0okGN68Fto0cMRne2/i8qNkzNt/G39cicaMLu7wrG6t7xCJiIgKFJ2ShXe3X8Gtx2kwk0vx2Yue6OrJExOJyoJEIkGLOvZoUcceEQkZ2HMtGnuuRiMqJQvbL0Vh+6Uo1HWwQO8m1dHB3QkNnSzZIE5ERFSBLj5Mwow/riMuTQF7CxMsH9wUXtVt9B0WUaXQrJYdvq1lh7tx6fjlbAT+vBaDy49ScPlRChYdCEOvJtUwqFkNNHRiz7BEZHjYCE7P7FJkMqZtv4IspRpBDR0xq2sjHuyhSqGugwW+f6kZfj3/EN8dv4/Lj5Lx2sbzGNKsJsa2qwdbcxN9h0hERKR1MzoV03ZcweNUBRwtTTTdN9e01XdYRJVSHQcLvNOuPt5uWw/nI5Kw+2oU/r0Vi/CEDKw+dg+rj92Dq40Z2jV0RNsGjmhZ1x4WvDqGiIioXAghsCUkEosPhUGlFmjoZImF/b1R18FC36ERVToNnCzxcQ9PjAtqgD+uRGHHpUeITM7CbyGR+C0kEl7VrNGjcTV093RBNRszfYdLRASAjeD0jM6GJ+LdHVeQka1Gq7r2WNC3CeQy3mKeKg+ZVIIRAbXRzdMFSw6FYf/Nx9hyIRJ7r8dgVKs6GO5fk939EBGR3h25E4fZe64jI1uNBk6WWDzQG7XseNCPqLxJJRIE1LVHQF17fNBFif9uxWL/zcc4F5GIqJQsbL34CFsvPoKpTILmdezRtoEjmte2g5uzFeRSnjhMRET0vDKzVZi3/zb2Xo8BAHTzdMFH3T1gacpjNUTlydnKFGMC62JUqzo4dT8B2y4+wpGweNyIScWNmFQsOxSG5nXs0NXDBS+4ObFBnIj0io3gVGoHb8di9p7rUKgEWtW1xzcDvGEmZwM4VU7VbMwwr09jDPBxxbcH7iAsLh0rjtzFr+cf4s02ddHX2xWmfP8TEVEFUwuBzeceYtnhMKgFtCcl2pizvCeqaFamcvRt6oq+TV2Rma3C2YhEHAuLx7G78XiUnKW9hzgAWJhI0cTVBk1r2MKnhi18atrA0dJUz6+AiIjIuFyOTMaX+27hbnw6ZBJgcoeGeLl5LfZQSVSBpBIJ2tR3RJv6jkhIV+DfW7HYdyMGFx4m41xEEs5FJOGrf0PRuLo1XnBzwgtuTmjkYsXPKRFVKB4loxITQmDjuYdYdigMAkAHNyfM7dOYDeBUJbSq54BNr7XAX9djsOb4PTxKzsKCf0Kx9mQ4Xm5eCwN9a8DajF+pRERU/kIfp2He/tu4/CgZADDAxxUzurizVx4iA2BuIkNQQycENXSCEAL34jNw7G48Tt6Lx5VHKUhTqLQHBXPVsjOHRzVrNHSy1DycrVDPwQIm/EwTERHpyMhW4X/H7mHzuYcQABwtTTCvT2O0qGOv79CIqjQHS1MM8auJIX418Sg5E/tvPMbB0DhceZSM69GpuB6dijXH78PR0gSt6jmgVV17tKrngOq8SpyIyhlbbKhEMrJVmJ+ni6HBzWrg/c7u7MqPqhSZVILe3tXRzdMF2y49wvozEXicqsCyw3ex9mQ4BvjUwKBmNXjvKSIiKhcZ2Sp8f/w+Np17AJUALE1kmNC+AYb61eDZ9EQGSCKRoIGTJRo4WeLVgNpQC4G7cem4HJmMK49ScOlRMu7GpeNhUiYeJmXiwO0n88qkEtS1t0ADJ0vUdbBATTtzzcPWHK62ZmwgJyKiKudseCLm/H0LD5MyAQC9m1TDtI5usLMw0XNkRJRXDVtzvNaqDl5rVQdxaQocDYvD4TvxOHU/AfHp2fjregz+ymljqOtggWY1beFXyw7NatmiroMF922JqEyxEZyKdftxKj7+8wbuxGq6GJrS0Q0v+dfkDxJVWaZyKV5qXguDm9XAX9djsOHMA9yNT8fGcw+w8dwDBNSxw0DfGujg7syeEoiIqEwcuROHhf+F4lFyFgCgUyNnvNfJjWfOExkRqUQCN2cruDlbYYBvDQBASqYS16JScCcuDWGx6QiLS0NYXDrSFCrcjU/H3fj0ApYDuFiboaatGarbmsPZyvTJw9oUTjn/W5nKuM9GRERG7158OlYfvYf/bscCAKrbmGFWt0Zo18BRz5ERUXGcrEzR36cG+vvUgEKpxuVHyTh1PwGn7yfienQKwhMyEJ6QgT+uRgMAHCxM4FXdGl7VreFZTfOoZWfOmpaInhkbwalQ2So1Np59gO9O3Ee2SsDJyhTz+niheW17fYdGZBBMZFL0beqK3t7VcSwsHtsuPcKxsHicjUjC2YgkWJnK0NHdCd08q6FVPXtesUNERKUWk5KFbw/c0R70c7Uxw/Qu7mjv5qTnyIioLNiYyxFY3wGB9R20w4QQiE7Jwt34dITFpuNBYgYeJWchMikTkcmZyFKqEZ2SheiULOBhcqHLNpNLYWcuh52FCWzN5bAzN0F1BwuYAdrndhZy2Ob9ay5nzUpERAYhOiUL35+4j91XoqASgATAoGY1MLF9A96OjsgImcqlaFHHHi3q2GN8EJCcmY1Lkcm48DAZFx8m4VpUChIysnHiXgJO3EvQzmdtJoOHi6ZB3Ku6NTyqWfPWQURUYqwYqEDH7sZj8YE7uJ+QAQBo39ARs7t7wMnKVM+RERkeqUSC9m5OaO/mhKjkTOy6EoVdV6IRnZKFPddisOdaDGzN5WhT3wFtGziibX1HOFixuy4iIircndg0bAmJxJ5r0chSqiGTAK+0qI232taDhYlM3+ERUTmSSCRwtTWHq6052tTXvcpNCIH49GxNg3hSJmJSsxCbpkBsqkLzN02BuDQF0hQqZCnViElVICZVUar1W5rIYGMuh42ZHDZmMlibybXPrcyeDLcxk+uMs8558JZZRET0PB4kZuC3kEhsv/QIWUo1AOAFNyeMC6oPd2crPUdHRGXF1twEQQ2dENRQc4K3QqnGzZhU3IhJxc2YVNyKSUVobBpSs1Q4/yAJ5x8kaeeVSoCaduao52CJeo4WqOdggXqOlqjvaAEnJ2t9vSQiMkBsBCcdYXFpWH74Lo6GxQMAHC1NMOmFBujdpDq7HSEqAVdbc7zdtj7ebFMPlx4mY//Nx/jn1mPEp2dj343H2HfjMSQAGrvaoK27M7ycLOBb0xYOljzBhIioqlOpBY7djcev5x/iTHiidrhvTVvM7OqORi7cmSeq6iQSCZysNF2e+9S0LXS6jGwV4tIUSM5UIikzG8kZmr9KqQyP4lORmKFEcmY2knL/ZiqRkqmEAJCerUJ6tkpzpfkzsDSRwdpMptM4bpPzsDbXbUS3yjNOM60Mcl7VQ0RU5QghcOp+An4LicSxsHiInOF+tWwxsX0DNKtlp9f4iKj8mcql8Klpq1PjKlVqhMWl42ZOw/jNmFTcfpyGNIUKDxIz8SAxE8fu6i7H2kyOuvbmqGlngRq2ZqhhZ44atmZwtdX8tTJlkxhRVcJPPEEIgQsPk7HhTASO5DR+y6QSvORfC2+2qcsuhoiegVQigV9tO/jVtsO7ndxwOTIZx+7G49jdeNx+nIZrUSm4FpWinb6+owWa1bJDk5xufdycrXilHxFRFZGapcTOy1HYEhKJh0mZADRntndwd8ZLzWvCv5YdT0YkolKxMJGhtr2FzjCJBHB2tkFsbAqEyD+PSi2QkqVEUkY2UhUqpGYqkZKleaTm/E3JGZamUGn/zx2Xka25Wi+3Eb20V6A/iV2q23hunrchXVbIcDaiExEZo/CEDPx76zH+vBaNe/EZ2uFt6jvg5Ra10LqeA+tgoipMLpPCo5rmWGnfnGFCCMSmKXA/PgP3E9IRnpCh/T8yKROpWUpci07FtejUApdpZy5HDVtzuNqaobqNGZytTOFibQZna1O4WJvCxcoM1mYyfvcQVRJs3azCkjOz8d+tWOy8EoUrjzSNcRIAHdydMKF9A9R3tNRvgESVhEz6pEF8QvsGiEnJwvkHibgel4GTobEIi0vHvfgM3IvPwM7LmnkkAOo4WMDDxRruLpao62CJug4WqGNvAUtTNo4TERm7B4kZOHEvAWcfJuNYaKy2q0cbMzkG+LhiqH9N1LA113OURFSVyKQS2FuYwN7i2W7bo1SpkZql0jacaxvI8zSW5x2ft2E9NUvTcA4AGdlqZGSXvhv3XOZyqU4DuXWertutzeSwNpXl697d2kwGW3M5LG0tIISAphonIqKyJoTA/YQMHLwdi39uxeJmzJNGKitTGfp4V8dQv5qox2OSRFQIiUQCF2szuFibIaCuvc64bJUaaRIpLobF4mFSJh4lZyEqWXMboaiUrJxekpRIytR0u14YM7k0p0HcFI5WprC3MIGDhQkcLDW1soOlCRwsTGGf85y3AyIyXGwEr2IS07Nx6n4C9t98jGN346FUay4BMJVJ0Nu7Ol5pUZuN30TlrJqNGXo2qY6ROVfiJKRn41JkMi4+TMatx5p73sSnZyM8IQPhCRn455bu/C7Wpqhjb4EaduaobmOG6tamqG6j+b+ajSlszOQ8W5GIyMBkKdUIeZCI43cTcPxuPO4nZOiMb+hkieHNa6Fn42rsCYSIjJJcJoW9pRT2ls/YiK4WOQ3leRvHcxvMVQU0nCuRkmd4mkLTiJ6pVCMzVYHHz9iILpNKCm4ozxlmaSKDhYkMFqaynP+lsDCVwUKuGWZhIoOliRTmOdPJeFCUiKq4mJQsnAlPxJnwBJwJT9Q5yUkmAVrWc0BXD2d09XRhN8VE9FxM5VLUdLaBgwwF9nyUmqVEVHIWIpMzEZWciZhUBWJTs/A4VYHHaQrEpiqQkqVEllKt7W69JGzN5fkaym3N898WyPapWwSZydmDEVF5M4rKIi4uDh9//DFOnz4NmUyGfv36YcaMGZDLjSJ8vYpNzcL16FRceJiEU/cTdc6wBIBGLlbo7umCvk1d4WTFexIT6YO9hQlecHPCC25O2mGxaQrcfpyK2zFpuBOXhoicBvGkTKWmMEtVAA+SClyehYkULtZm2sLLrsCzFTX/W5vJYWkqg5SN5kRk5EpTLx46dAjffPMNIiIiUKNGDUyfPh2dOnUqs1hSs5S4/TgNtx+n4tbjNIQ+TkNobJr2am9Ac8CvWS07dGtaA37VLeHmZMUTmIioSpM/75XoaoG0p64yz9t4nttonlrI85QsJdRC0y18Us5VQmXBTC6FhYkM5nIpTOVSmMqkMJFJNH/lUpjlef70+NznUommcV4mlUAq0fyV5Qx78jxnvPb/PONzx0k0eZY+NZ8037LwZBqJBDIZYJ2tQrZKDQk00/M3i0gXj10CaiEQk5KF24/TcCNac5XljeiUfD17mMgk8K9lh66eLujk7vzMJ08REZWWtZkc7i5yuLtYFTpNZrYKsWmKnOOvWYhPz0ZCRjYS07ORmPHk/4SMbCRlZEMASM5UIjlTifCnTnYvjqlMAmszOWxzT740leecaKmpHy1zT7DUnmiZe9KlVPu/pYkMZjl1pplMCplUwjqNKA+jqMSmTp2K6tWr48iRI4iNjcW4ceOwbt06vPnmm/oOzSAo1QJxaQo8SMzQNpTdjU/HjehUxKblP/u9kYsV2jVwRI/G1eDuXPgXPhHpj7OVKZytHNGmvqPO8OTMbEQkZOB+QgaiU7J0HjEpWUjK1NyPMfcq8pKQALA0lcHKVAYrMzmsTeWwMpNp/5rLpTCTy2BuIs35XwpzuabAMpNLYW6iGW8m1xywk0ulkOccpJNLJZDLcv5KpdphvCLGMImc02SFzjDoDstzKq0obJqcZ5nZKmRmq/KNf/I8z7KeOkM37/Pc6XSH6f6jsyzdReVfNoqeoKj5848r4NTiEi5LM14UOT7f8gp5LRIJkAIp4uPTi4z36QGFrU4mlcDZ2aboYAxMSevFe/fuYdKkSVi0aBE6duyIv//+G1OnTsXff/+N6tWrl3h90clZeJSc+eQ7OFWByKRM3H6cikfJWQXO42xlirYNHNCugSNa1XOAjbm8yPvzEhFRycmlEthZaE4AfTYClraWuBeZWOhV6KlZSqQrVMjIViE9W42MbBUycp5rHmrt/zmdriFLqdY5Caqy0Gk4l0gglSKnQf1Jg3tBjfR59we0zyWafYbCppHnzP/0NNr9DanuOvLN+/Q6JQXMq51OqjmBQJJ3XqnONFKJZh+KB5gpr6pw7FIIgeScE/OjUzXHIKKSMzX3403QHJPMLOD7TioBvKrboGVde7SsY49mtWxhzp6PiMhAmZvIUNveArXtLYqdVqUWSM7UNIgn5DaS5/zNrR+TC+jBKCVTCQFAoRKIT89GfHp2mcUvlQCmMqm2YTz3xEqz3BMs8/4vk2imy3luIpPq1Eea47pPhj05zvvUsd+nhud9LpPiyTHhnJpRmlNn5a0bWVdReTH4RvD79+/j9OnTOHz4MCwsLFCnTh2MHz8eCxcuNNpCUggBlVpAqRbIVglkq9XIVgkoc/+qBDKyVUhTaLp00z5yunhLzsxGbE73HLFpCiSkZxd6EFsqAeo7WsLb1Qat6jmgZV17XvFNZMRszU3gXcME3jVsCxyfma1CdEoWYtMU2sIr7xmKiRm6BZlSrWmCy/2ewTN2G1laEkDbOJ57YCm34JEABf8v0RRJmgNOmmGaA1D5x0lzppdo7+eo+ZaUyWVQKlUFNhI+3ZiZv+E2fwNx/mkFhMiZRjz1PGcZImd6kTNj3ufiqQbmp4fne64dJp7EUMR68y7j6XUT5WVtJseVz3voO4wSK029uH37dgQEBKBr164AgF69emHbtm347bffMHny5BKvc/jP55CaVfhVgtVtzNDIxSrnYY1GLlao52DBHTsiIgMlkUhgZSbX3GLI2uy5liWEQJZSjcxsNdKzNfc7z8pWQaESUKjUyFapNf8r1YU+z1Jqjg8oVGqo1QJqoTmGkHu1+pPnmuMLqtzhagFV7rA80+cOyzu9+qnheZetLqZAVAtArRKo6pWkNM++R0H7I1LtPo3kqX0YzbCC9nV05s0zbe4w6VPLATQrlTz5V/N/Ts0hyX3kTCCBZgLd6SXIW6LkbeTPOy/wZD/tyfJylipBvuklEsDczAQSocbil1s8T6oNmiEcuxTiyfeAUq2GUqX5fCtVmu8KpVo8GafWfN/kfkdlZKuQrsh55HmeplBpjyEk5fxVqIr+zMskQF1HSzSubg2v6jZoXM0aHtWsYWnKRm8iqnxkUgkcLE3hYGkKOBU/fS61EEhXqLQnXeY2lKdmPTm58unv5LwnW2pPysyZJjvPd7Na5NweyMhOwsx7AmXu8eLcukfbe5E0t/Ec+XtDeronJJ1xusvQ9nxURst4UucBUuSv+bT/56sL806vezy7sGPjQOEXLBV2sVKxx7wLuPhId7qCxxck78U6dglZSEpOzz9fiZZT9ERyqQQ9S3jxjsE3gt++fRv29vY6V+a4ubkhMjISycnJsLUtuCHoab2/O4m0LFWRG6qoq7OEQM5OgkSnsaHg5RR+RZkQ0N6HuyzJJICrrTnqOlhoH57VreHpYg0LIy008+40Ufkrs3zr7BzrPqcnyuv9bWEqQ30nS9R3six2WiEEFCqhvYei5q+m4ErLUiI1Z1hWTuGkOZCn0l7Nkvd57nilSq3dwc67o51v3YDmJCBtkaYq20QQPeXpj9rTn718H8UCPpylXUZxjZ0Fjc2/TEmR4/OSSiQFFonFLaOgRVqaGVftUJp6MTQ0FB4eHjrzu7u748aNG6Vap1wqQS07c01jiY0pqlmbwdXWHG7OlnB3tirRlYisdQrH3BStTPJTSWs2vncKx9wUrSzzI5FINF1VmsrgAOPs5je3QU2tFlBDwN7BGrGxKdr6Xi2eNLLn/T+3wT23gV2dswzlU43zqqf2F3Ln0zbc5ZlGpS5kvtwLDFTqnP+h09CXb7lqAaXQXU6h8eR5TUXJff05WSv37WKsrM0M/vDjcymrY5fdV59EWilvxSAA7fu3othbmKCajSmqW5uhmo0Z6jpYoJ6DBeo6WqKmrRnksqp3j1v+xlYClbQ2rmqM5bMok0hgYy6HjbkcNcpgeWrx5GRKRc4xWoVK5PzNOyznb97/84zPVueePJXn+K72ZCr1k3pJlffYr1r7XPXU8yfLUKOYc6h0TrAsuG89oieszeTo2aJuiaY1+Co0LS0NFha6XU/kPk9PTy9xIZmWpUZqluE2suR2IWwik8BEJoWlmQxWppovQmszOazNTWBtJsu5R4QJqtmaoZqNufavo5Vppe1e2MnJuLpjNXbPnW+LJzs7zs42gBW73C9KVXh/C5G3QNIUQtm5BVGewkrkHEBSi5yrmHOeC+T8FbnTIM80mgNTAk8OwEG7HM3fJ1c4PLmSQfP8SYw6V0XkmahE8+Ze+5B3njxXU+Se8ffk/5y5dK6UyHOFe95xeZeTb5l5IpCUYDmFjSsg3oJec5F50slH6XOW19Pr0L3CpOhl8wrbqqs09WJB05qbmyM9Pb1U6zz/cTdIy6j2qgq/Bc+KuSnac+WnktdsfO8UjrkpGvNTOOtaDvoOocKp1fkP6j7ZP3myP1LQfkzuPonIs0+jVj+Z9+l9ndwTBnL3b8RT+zVP7+eo1fl7h4L2/6d6mXp6fAE9TKHAZeTMr9Pj1VPrzddLVe46nyxLblznV5ZaWR27zMou+yv3dLqoffrYY84t0TS3R5Nrj0Xm/rUyk8PRygQOlqZwtNJc6ehiY8auzIvA3xAjlqc2dnKqfLVxVcPPomHKratyT6BU5vRilDss97kq7zDVU9M/NUz19PR5lqE9GbKAYU+fZFnoMNVT4woYlltTFXRsO+8x63zHstVPTqbUqRufqhPVOaVBQce5oX3+1N9CjqvmO95bwmPgRR3LLUslPbZbmh5mDL4R3NLSEhkZuve1zX1uVYofow0j/bU7CPneIHn/L/IKK8DBwRoJCakQQnc5xV0dlpdcJoWJVFNwmuR0B/xcB+6zFEjIqpgujCuSRKL5wYqL430yK0KZ5TstDc45/8bGpgAZxtX1SkWp6u9vKQDTnAckALS/W+V3um3lzbnI//9zXIxSVtexVN58G6ayznfu8oxFaepFCwsLZGZm6gzLzMwsVV0JQFsPPg9+TgrH3BStTPJTSWs2vncKx9wUjfkpHHNTMAk0x4mqFZabfLs2kqf+Vn657534+BR9h1KuyurY5a+jmhfYk1pxZAXdszWnq9YyPVFYrUJqUjpSy26JlQa/JyuBPLVxXFwKRCWpjasafhaNU+6h4dzDwxIJ4FQtZzvK2DWDMSrvz2JpyhuDbwRv1KgREhMTERsbC2dnzU/RnTt34OrqChubkh+crWNvUSYHKp0dLWGhLrpb9WfBL+XC5Z41QxXjufOdZ14h8PwtaZUc398VjzmvWMx3xaqq+S5Nvejh4YGrV6/qDAsNDUXTpk1Ltc6yzHVV3W4lwdwU7bnyU8lrNr53CsfcFI35KRxzUzjmpmiVPTdldeyyhp259mqvslLZc29o+F1gxJ6qjbkdjRu3YeXA7Wj8DGEbGvxNWurXr48WLVpg3rx5SE1NRUREBFatWoUhQ4boOzQiIiIiMgClqRf79euH06dP488//4RSqcSff/6J06dPo3///nqInIiIiIiMHY9dEhERERkmg28EB4Bly5ZBqVSiS5cuGDZsGNq3b4/x48frOywiIiIiMhBF1Yv+/v7YtWsXAMDNzQ0rV67EmjVr0LJlS6xatQrLly9HgwYN9Bk+ERERERkxHrskIiIiMjwG3x06ADg7O2PZsmX6DoOIiIiIDFRR9WJISIjO8/bt26N9+/YVERYRERERVQE8dklERERkeIziSnAiIiIiIiIiIiIiIiIiIqKSMIorwcuCRFJ2yyiLZVHxmO+KVWb5lkgAG5ucfyUAt1+B+P6ueMx5xWK+K1ZZ55vbrXisLcsXc1O0MslPJa3Z+N4pHHNTNOancMxN4ZibojE/pSORMFfGiu/1SqCS1sZVDT+LlQO3o/Er721YmuVKhBCifMIgIiIiIiIiIiIiIiIiIiKqWOwOnYiIiIiIiIiIiIiIiIiIKg02ghMRERERERERERERERERUaXBRnAiIiIiIiIiIiIiIiIiIqo02AhORERERERERERERERERESVBhvBiYiIiIiIiIiIiIiIiIio0mAjOBERERERERERERERERERVRpsBCciIiIiIiIiIiIiIiIiokqDjeBERERERERERERERERERFRpsBGciIiIiIiIiIiIiIiIiIgqDTaCFyE9PR2zZs1CYGAgWrRogenTpyMtLa3Q6fft24f+/fujefPm6Ny5M1asWAG1Wl2BERufuLg4jB8/HgEBAQgMDMTcuXOhVCoLnPbQoUPo27cv/Pz80LNnTxw4cKCCozV+pcn35s2b0aNHD/j7+6NHjx7YuHFjBUdr/EqT71y3bt1Cs2bNcOrUqQqKsvIoTb5Pnz6NoUOHwt/fHx06dMCaNWsqONrKoTQ5//nnn9G5c2c0b94cffv2xb59+yo42sojPj4e3bp1K/J7gr+ZFevBgweYOHEiWrdujcDAQIwfPx4RERHa8Xfv3sWoUaPg7++PoKAg/O9//9OZv7jt9f333+OFF16An58fRo4cibCwMO240tarxuBZfj+NyY0bNzBmzBi0atUK7dq1w/Tp0xEfHw8AuHjxovb3qXPnzvj999915t2+fTu6desGPz8/DBo0CCEhIdpxKpUKX331Fdq2bQt/f3+MGzcOMTEx2vHGlFeVSoWRI0di5syZ2mFVPTeJiYmYPn06AgMD0bJlS4wfP177Gqp6bgDg6tWrGDFiBAICAhAUFIQ5c+ZAoVAAqLr5Kahe0Gcuilt3RSsoP8Ud06kq+Smq1oyJiUHbtm2xbds2neFVJTeFycjIwPDhw/PlRZ81YHHrprJjyL8FVQF/74yboe4bcTuW3IkTJzB06FA0b94c7dq1w5dffonMzEwA3IbGxtD2w8tsGwoq1MyZM8WoUaNEQkKCiI2NFa+++qr47LPPCpz28uXLwtfXV/z3339CpVKJ0NBQ0alTJ7F27doKjtq4vPrqq+K9994T6enpIjw8XPTu3Vt8//33+aa7e/eu8PHxEfv37xfZ2dliz549wtfXV0RFRekhauNV0nzv379fBAQEiJCQEKFWq8X58+dFQECA+Ouvv/QQtfEqab5zpaeniz59+ggPDw9x8uTJCoy0cihpvkNDQ0WzZs3Etm3bhFqtFtevXxetWrUSe/fu1UPUxq2kOT948KBo06aNuHPnjhBCiL/++kt4eXmJiIiIig7Z6J09e1Z07dq1yO8J/mZWvH79+okPP/xQpKWlidTUVDFr1izRp08fIYQQCoVCdO/eXSxcuFBkZWWJq1eviqCgIPHnn38KIYrfXtu2bRPt27cXt27dEpmZmWL+/Pmid+/eQq1WCyFKV68ai9L+fhqTjIwM0a5dO7F06VKRlZUl4uPjxVtvvSXGjh0rEhMTRatWrcQvv/wisrOzxfHjx4W/v7+4ePGiEEKIkydPCn9/f3H27FmhUCjETz/9JAIDA0V6eroQQojly5eLvn37isjISJGSkiKmTp0q3nrrLe26jSmvS5YsEV5eXmLGjBlCCMHcCE2MEyZMEElJSSIlJUVMnDhRvP3228yNEEKlUol27dqJn3/+WahUKvHo0SPRo0cPsWLFiiqbn4LqBX3morh1V7SC8lPcMZ2qkp+iak2VSiVGjhwpvLy8xNatW7XDq0puCnPr1i0xcOBA4eHhoZMXfdaAxa2bypah/hZUBfy9M26Gum/E7VhycXFxwsfHR2zdulWoVCoRHR0t+vTpI5YuXcptaIQMaT+8LLchG8ELkZ6eLry9vcW5c+e0wy5cuCB8fX21GzGvv/76S8ybN09n2Lx588Q777xT7rEaq3v37gkPDw+dg/J79uwRHTt2zDftokWLxJgxY3SGvfHGG2Lp0qXlHmdlUZp8//LLL2LNmjU6wyZMmCC+/PLLco+zsihNvnPNmDFDLFmyhI3gz6A0+f7iiy/Eu+++qzMsLCxMxMTElHuclUlpcv7jjz+K1q1bi9DQUKFWq8X+/fuFj4+PePToUUWGbPS2bdsmOnbsKPbs2VPk9wR/MytWYmKieP3110V0dLR22PXr14WHh4dITEwUx44dE35+fiIrK0s7fs2aNWLEiBFCiOK310svvSRWr16tHadQKIS/v784ceJEqetVY/Asv5/G5M6dO+KNN94QSqVSO+yff/4RzZs3F1u2bBHdu3fXmf6TTz4R06dPF0II8d5774mPPvpIZ/yLL74ogoODhRBCvPDCC2LXrl3acY8fPxaenp4iPDzcqPJ6/Phx0atXLzF58mTtzndVz83ly5eFj4+PSElJ0Q5LSEgQt27dqvK5EUKI+Ph44eHhIX766SehVCrFo0ePRM+ePcXatWurZH4Kqxf0mYvi1l2RCstPccd0qkJ+iqs1ly1bJj744APRqVMnncbeqpCbwhw/fly0adNGrF+/XnTs2FEnL/qsAYtbN5UdQ/0tqAr4e2f8DHXfiNuxdHL3UdRqtbh586bo1q2b2LBhA7ehkTG0/fCy3IZVujv0zMxM3L9/v9BHdnY2PDw8tNO7ubkhMzMT9+7dy7esHj16YNasWTrLPnjwILy9vSvipRil27dvw97eHtWrV9cOc3NzQ2RkJJKTk3WmDQ0N1dkWAODu7o4bN25USKyVQWnyPWLECLz99tva53FxcThz5gyaNm1aYfEau9LkGwB27NiB+/fvY+LEiRUZZqVRmnxfunQJtWvXxrvvvovAwED07NkTp0+fhouLS0WHbdRKk/PevXvD2dkZvXr1gre3N6ZMmYIFCxbA1dW1osM2akFBQdi/fz969epV5HT8zSx7RdWMJiYmWLt2LapVq6adft++fahVqxbs7Oxw+/ZtNGjQAKamptrxebdHcdvr6fEmJiaoX78+bty4Uep61RiU9vfT2DRs2BA//PADZDKZdti+ffvg7e2N27dvl+q9kHd8SkoKoqKidMY7OzvDzs4ON2/eNJq8xsXFYfbs2fj2229hYWGhHV7Vc3Pp0iW4u7tjy5Yt6NatG4KCgvDVV1/BxcWlyucGABwcHDB69Gh89dVX8PHxQYcOHVC/fn2MHj26SuansHpBn7kobt0VqbD8FHdMpyrkp6ha8+TJk9izZw8+/fTTfOMqc26KqgHT09Ph5eWFAwcOYOTIkZBIJDrz6rMGLG7dVHYM9begKuDvnfEz1H0jbsfSsba2BgB06NABffv2hYuLCwYNGsRtaEQMcT+8LLehvNRzVCIXL17Ea6+9VuC4KVOmAAAsLS21w3LfAMXdZzE1NRVTpkyBubk5Ro8eXTbBVkJpaWk6HyrgSY7T09Nha2tb5LTm5uZIT08v/0AridLkO6/Hjx9j7NixaNq0Kfr06VPucVYWpcn3nTt3sHjxYmzevFmn8KOSK02+k5KSsH79eixevBhff/01QkJCMHbsWNjZ2eHFF1+s0LiNWWlynp2dDS8vL8ydOxdeXl74448/MHv2bLi5ucHT07NC4zZmJT1Rg7+ZZa+omnHlypXo2rWr9vnmzZvx448/YvXq1QAK/6zkbo/itldR41NTUwE8W71qqJ61XjFGQggsWbIEBw4cwC+//IL169c/83shd3vnfS/kjs8dZ+h5VavV+OCDDzBmzBh4eXnpjHuez0llyE1SUhJu3ryJpk2bYvv27cjMzMT06dMxY8YMODs7V+ncAJr3jrm5OT7++GMMGTJEe2LpsmXLquR7p7B6QZ+5MKTapCT1VEHHdKpCfgrLTVxcHD788EMsW7YMVlZW+cZX5tyUpgZ8mj5rwOLWTWWnKtWuhoa/d5WLIe0bcTs+m7///htJSUl4//33MXnyZFSvXp3b0AgY6n54WW7DKt0IHhgYiJs3bxY47tq1a1i6dCkyMjK0RX5GRgaAJ2e3FCQsLAyTJ0+Gk5MT1q9fX+S0VZ2lpaU2p7lynz+9Y2VhYYHMzEydYZmZmQXugFHBSpPvXBcuXMCUKVMQEBCA+fPnQy6v0l8ZpVLSfGdlZWHatGn48MMPUbNmzQqNsTIpzfvb1NQUXbp0QceOHQEALVu2RP/+/bF37142gpdCaXL+5Zdfonnz5vD19QUADB48GLt378b27dsxc+bMigm4CuFvZtkrqmbMpVAoMH/+fPz5559Ys2YNWrduDaDwz0ru9ihuexU1PndnorT1qiF7lnrFGKWmpmLWrFm4evUqfvnlF3h6esLCwgIpKSk605XkveDg4KDdOXw6d7nzCyEMPq9r1qyBqakpRo4cmW9cVc9N7pV8s2fPhpmZGaytrTF16lQMGzYMgwYNeqbvkMqSGwDYv38/9u3bh7/++gsA0KhRI0yYMAFz585F3759q/R7Jy99fo6KW7chKeyYTlXNjxAC06dPx8iRIwvtGa4y56YkNWBh9FkDFrduKjtVpXY1Jvy9Mz6Gtm/E7fhszM3NYW5ujg8++ABDhw7FyJEjuQ2NgKHuh5flNqzS3aEXpUGDBjAxMUFoaKh22J07d7TdDxXk0KFDGDp0KNq3b4+1a9fCzs6ugqI1To0aNUJiYiJiY2O1w+7cuQNXV1fY2NjoTOvh4YHbt2/rDAsNDUWjRo0qJNbKoDT5BoDg4GCMHj0ao0aNwrfffqvTjRYVr6T5vnz5Mu7du4fZs2cjICAAAQEBAIB33nkHn332WUWHbbRK8/52c3ODQqHQGaZSqSCEqJBYK4vS5DwyMjJfzuVyOUxMTCok1qqGv5kVLz4+HiNHjsSFCxcQHBysbQAHNJ+Ve/fuQalUaofl3R7Fba9GjRrpjM/Ozsa9e/fg4eHxTPWqoSttvWKMwsPDMXjwYKSmpiI4OFjbI0Zp3wt5x9vZ2aF69eo674XHjx8jMTERHh4eRpHXnTt34vTp09p6aPfu3di9ezcCAgKqfG7c3d2hVquRnZ2tHaZWqwEAjRs3rtK5AYBHjx4VWmdU9fdOXvrMhbHUJkUd06mq+Xn06BFOnz6NlStXar+fIyMj8fnnn2Ps2LEAqm5uiqPPGrC4dVPZMbbfgqqAv3fGxRD3jbgdS+78+fN48cUXdWpxhUIBExMTuLu7cxsaAUPdDy/TbVjqu4hXIe+//7549dVXRVxcnIiLixOvvvqq9qbwTwsJCRHe3t7i999/r+AojdvLL78spk2bJlJSUkR4eLjo3bu3WLZsWb7pQkNDhY+Pj9izZ4/Izs4We/bsET4+PiIsLEwPURuvkub7r7/+Et7e3uLw4cN6iLLyKGm+n+bh4SFOnjxZARFWLiXN9/Hjx0WTJk3Ejh07hFqtFqdPnxZ+fn7in3/+0UPUxq2kOV+8eLEIDAwUV65cESqVSuzdu1f4+PiIa9eu6SHqyqGo7wn+ZlYshUIhBg4cKF5//XWRkZGRb3x2drbo3LmzWLBggcjMzBTXr18XQUFBYuvWrUKI4rfXli1bRPv27cX169dFZmammD9/vujWrZtQKBRCiNLVq8biWX8/jUFiYqLo2LGjmDlzplCpVDrj4uPjRUBAgPjpp5+EQqEQJ06cEP7+/uLEiRNCCM3vV+5zhUIhfvrpJ9GyZUuRkJAghNB81/bp00eEh4eLlJQUMXXqVPHqq69ql29seZ0xY4b2vVzVc6NQKES3bt3EpEmTRGpqqoiLixOvvfaamDBhQpXPjRBC3L59WzRt2lSsXr1aKJVKER4eLvr06SMWLFhQ5fOTt17QZy6KW7e+5M1Pccd0qlp+iqo1O3XqpK1jhKh6uSnM03nRZw1Y3LqpbBn6b0FVwN8742So+0bcjiWXmpoqOnToIObNmyeysrLEgwcPxJAhQ8Snn37KbWikDGU/vCy3IRvBi5CSkiI++ugj0bZtW9GyZUsxc+ZMkZaWph3fq1cvsXr1aiGEEGPHjhWenp7Cz89P5/HGG2/oK3yj8PjxYzFp0iTRqlUr0bp1a7FgwQKhVCqFEEL4+fmJnTt3aqc9fPiw6Nevn/Dz8xO9e/cWBw8e1FfYRquk+e7Tp4/w8vLK937++OOP9Rm+0SnN+zsvNoI/m9Lk++DBg2LQoEHC399fdOnSRWzevFlfYRu1kuY8OztbLFu2THTq1Ek0b95cDBw4kCfZPKenvyf4m6k/+/btEx4eHsLHxyff7+bDhw+FEELcu3dPvP7666JFixaiffv2Ys2aNTrLKGp7qdVqsXbtWtG5c2fh5+cnRo4cqXNCQ3H1qjEq6rvF2P3444/Cw8NDNGvWLN/7RQghLl26JIYPH679fXr6YPWOHTtEjx49hJ+fnxgyZIi4cOGCdpxCoRALFy4U7du3F82bNxfjxo0TsbGx2vHGlte8O99CMDdRUVFi6tSpol27diIgIEBMnz5dJCUlCSGYGyGEOHbsmBg6dKho0aKF6Nixo1i0aJHIysoSQlTt/DxdL+gzF8WtWx/y5qckx3SqUn5K0wguRNXKTWEKyos+a8Di1k1lx9B/C6oC/t4ZJ0PeN+J2LLnbt2+LMWPGiICAANGpUyeDqcO5DZ+NIe2Hl9U2lAjB/l+JiIiIiIiIiIiIiIiIiKhy4D3BiYiIiIiIiIiIiIiIiIio0mAjOBERERERERERERERERERVRpsBCciIiIiIiIiIiIiIiIiokqDjeBERERERERERERERERERFRpsBGciIiIiIiIiIiIiIiIiIgqDTaCExERERERERERERERERFRpcFGcCIiIqJKID4+Ht26dcOpU6dKPM++ffvQp08f+Pn5oVu3bggODi7HCImIiIiIiIiIiIgqBhvBiUivNm7cCE9PT6xbt07foWh17twZ27ZtK3CcWq3G999/j169esHf3x8tW7bEG2+8gZCQkDJZfln63//+hzfffPOZ5l2+fDlGjhxZ4DhPT0+dRratW7di4MCB8Pf3R4sWLfDKK6/g4MGD2vGnTp2Cp6cn/P394e/vj2bNmqFVq1Z45513cPv27WeKj4h0nTt3DsOHD0d4eHiJ5zl58iRmzpyJDz74ACEhIfjyyy/x+eef49KlS+UYKRFR+WN9WX5YXxIREVFVw9qy/LC2JKLyxkZwItKrjRs34uWXX8b69euhVCr1HU6xvvvuO2zfvh3Lli3D+fPncfjwYbRu3RqjRo3C/fv39R2ejnfeeQc//PBDua7jjz/+wKJFi/Dpp5/i3LlzOHHiBIYNG4aJEyfizJkzOtOGhIQgJCQEFy9exN69e1GzZk28/PLLCAsLK9cYiSq77du34/3338e0adPyjTt+/DiGDBmCgIAA9O7dG7t27dKOW7duHV577TV06NABEokErVu3xtatW1G3bt2KDJ+IqMyxviw/rC+JiIioqmFtWX5YWxJReWMjOBHpzYkTJxAXF4eZM2dCrVZj37592nGdO3fGmjVrMGDAAPj7+2PAgAE4efIkAODBgwfw9PTE77//js6dO6NFixYYM2YMoqKiAADbtm1D586dddY1cuRILF++HACQmpqKjz76CN27d4efnx/at2+P//3vfyWK+dy5cwgICIC7uzskEgksLCzw1ltvYdiwYYiNjS318qOjozF16lR07twZzZo1Q5cuXXS6I/b09MScOXMQGBiId955Bz179sy3rL59+xbYhXHeMyK3bduGl19+GXPmzEHr1q3Rpk0bzJ49G9nZ2SV63UXlw8vLC35+fpBKpTA1NcWAAQMwbtw4JCUlFTqfk5MTPvnkE7i7u2PlypXPFQNRVRcUFIT9+/ejV69eOsNv3LiBcePG4e2338apU6fw5ZdfYt68eThy5AgA4NKlS7C3t8fbb7+NwMBA9O/fH+Hh4bC3t9fDqyAiKhusL1lfsr4kIiKissLakrUla0si48ZGcCLSmw0bNmDYsGEwNzfHK6+8gh9//FFn/NatW7F06VIcP34cXl5e+Oyzz3TGHzx4EDt27MC+ffsQGxuLVatWlWi933zzDR48eIDg4GCEhITgo48+wuLFi0t0NmTv3r0RHByMyZMn4/fff8fNmzehVqvx0UcfoUWLFqVe/kcffQQTExPs2bMH58+fx6uvvoovv/wSaWlp2mnCw8Nx8OBBfP311xg0aBB27typHXflyhU8ePAAPXv2LDb28+fPw8nJCUeOHMGaNWvw559/4u+//y5JygrVo0cPnDx5Em+88QZ++eUXXL58GdnZ2ZgwYQK6du1a7PydOnXS7iAQ0bNxcXGBXC7PN/zXX39Fly5d0L17d8hkMjRv3hzDhg3Dxo0bAQBJSUlYu3Ytxo0bh2PHjmHChAmYNm0aLl68WNEvgYiozLC+ZH3J+pKIiIjKCmtL1pasLYmMGxvBiUgvHj58iCNHjmDEiBEAgGHDhiE0NBSnT5/WTjNkyBDUq1cPFhYW6Nu3L+7du6ezjLfeegu2trZwdnZG586d840vzKRJk7BkyRJYW1sjKioKZmZmAICYmJhi5x0wYADWr18Pc3NzrFixAv369UObNm2waNEibZdIpVn+nDlz8Omnn8LExASRkZGwsrJCZmamzpmIffr0gYWFBWxtbTFgwACEh4fj8uXLAIAdO3bgxRdfhJWVVbGxm5ub45133oGJiQl8fX3h6emJu3fvFp+wIrRp0wZbt25FrVq18PPPP2PIkCFo1aoVPv30U51iuDAODg5ITEx8rhiIqGAPHz7E/v37ERAQoH1s2LABjx49AgCYmppi8ODB8Pf3h1wuR/fu3dGmTRudM9uJiIwJ60sN1pesL4mIiOj5sbbUYG3J2pLImOW/bIiIqAJs2rQJSqUS/fv31w5TKpX48ccf0apVKwCAs7OzdpxcLocQQmcZxY0vTFxcHObOnYtr166hdu3aaNq0KQBArVaXaP7cxiRA0yXQwYMHsXDhQkilUkydOrVUy4+IiMDXX3+Ne/fuoX79+qhXr16+aatVq6b938XFBe3bt8fOnTvh5eWF3bt3a7tKKo6TkxMkEon2uYmJSaE5MzMzK/A+R7nDcotjAPDy8sIXX3wBAIiPj8fx48excOFCpKenY+HChUXGFBcXB0dHxxLFT0Sl4+rqioEDB2o/n4Bmhzb3c+/m5gaFQqEzj0qlKvF3KRGRoWF9qcH6kvUlERERPT/WlhqsLVlbEhkzXglORBUuKysLwcHBmDt3Lnbu3Kl9rF69GgcPHsSdO3eea/lSqTRfw05CQoL2/ylTpqBp06Y4ceIEtm/fjnfffbdEy01LS4Ofnx8OHDigHVa9enUMHz4cQ4YMwfXr10u1/OzsbIwdOxb9+/fHqVOnsGXLFowaNSrfdHmLPwAYPHgw/vrrLxw9ehQ2NjZo2bJlieIvDVdXV0RGRuYbntstUo0aNQAAHTt21HatDACOjo7o06cP3nzzTW0+inLgwAG0bdu2jKImoryGDBmC3bt34+jRo1Cr1bh37x5effVVbfdtL7/8MjZv3ozjx49r72126tQp9OnTR8+RExGVHutLDdaXrC+JiIjo+bG21GBtydqSyNixEZyIKtwff/wBiUSCvn37wtXVVft44YUX4OHhgXXr1j3X8t3c3BAbG4uTJ09CCIGdO3fqFKcpKSkwNzeHTCZDfHw85syZA0BT2BXFysoKXbp0wddff41Tp04hPT0dCoUC586dw759+9C9e/dSLT87OxuZmZkwNzeHRCJBZGSk9uzDomLp2LEjVCoVli1bhkGDBpU+QSXwwgsvICsrC4sXL0ZqaiqEEAgPD8f8+fMRFBSE6tWrAwD69euH1atX48CBA0hJSYFSqcSNGzcQHByszUdBHj9+jM8++wzh4eGYOHFiubwGoqquWbNmWLRoERYtWoSWLVvi1VdfRefOnfHee+8B0OyUfvrpp5g/fz5atGiB5cuXY/HixfD29tZz5EREpcf6EtrnrC9ZXxIREdHzYW0J7XPWlqwtiYwZu0Mnogq3adMm9O3bFyYmJvnGDR8+HF999VW+MwhLw8fHB+PGjcPMmTORlpaGrl27okePHtrx8+fPx7x58/Djjz/Czs4OvXr1QpMmTXDr1i0EBQUVuez58+fjhx9+wJw5c/DgwQMAQMOGDTF16lRt90glXb6lpSXmzZuHpUuXYs6cOXByctLeX+jWrVto0KBBgTGYmJigX79+WL9+PVavXv3MeSqKvb091q9fj8WLF6Nr167IzMyEvb09unbtiqlTp2qnmzZtGqpVq4bly5fj7t27EEKgdu3aGDJkSL4zQ/39/QFozg61sbFBq1at8Ntvv6FOnTrl8hqIqqKbN2/qPO/YsSM6duxY6PQDBw7EwIEDyzkqIqLyx/pSg/Ul60siIiJ6fqwtNVhbsrYkMnYSwRs/EhEZnfXr1+Pw4cP44Ycf9B0KEREREVUCrC+JiIiIqKywtiQiQ8Du0ImIjMjjx49x6dIl/Pzzz3j55Zf1HQ4RERERGTnWl0RERERUVlhbEpEhYSM4EZEROXjwIEaOHIl27dqhS5cu+g6HiIiIiIwc60siIiIiKiusLYnIkLA7dCIiIiIiIiIiIiIiIiIiqjR4JTgREREREREREREREREREVUabAQnIiIiIiIiIiIiIiIiIqJKg43gRERERERERERERERERERUabARnIiIiIiIiIiIiIiIiIiIKg02ghMRERERERERERERERERUaXBRnAiIiIiIiIiIiIiIiIiIqo02AhORERERERERERERERERESVBhvBiYiIiIiIiIiIiIiIiIio0mAjOBERERERERERERERERERVRpsBCciIiIiIiIiIiIiIiIiokqDjeBERERERERERERERERERFRpsBGciIiIiIiIiIiIiIiIiIgqDTaCExERERERERERERERERFRpcFGcCKq0oQQVXr9xoS5IiIiIiqcvmslfa+fiIiIiMqHvus8fa+fiIwXG8Gpypo+fTo8PT3x3Xff6TuUEpk5cyY6d+5c7HTbtm3DSy+9hObNm6NZs2bo3bs3Fi9ejNTU1FKvs3Pnzpg5c+azhPvcHjx4AE9PT51H06ZN0bZtW4wbNw4hISE60586dQqenp44depUiZavUCgwf/58/PHHH8VO6+npieXLlz/TeooSGhqKl19+udB1lafc/G7btu25lrNt2zZ4enriwYMHBY5fvnw5PD09S7XMp3McFRWFsWPH4uHDh88VK1Cy111UzPPmzYOnpyfmzZtX7LTlYeTIkRg5cmSFrY+IiIwD69risa7VYF1bvOTkZKxYsQJ9+/aFv78/2rRpg9deew3//vtvmSy/LJX1ayciInoa68zisc7UYJ1ZuNx8FPYYPXp02QRMRPnI9R0AkT6kpqbi77//hoeHB7Zs2YK33noLEolE32E9txUrVuB///sfRo8ejXHjxsHExARXrlzBDz/8gKNHj+LXX3+FiYmJvsMslXHjxqFjx44AgKysLERFReHnn3/GiBEjsGzZMnTt2hUA4O3tjd9++w3u7u4lWm5MTAzWrVuH+fPnFzvtb7/9BldX12d+DYXZu3dvvmK0vNb1tGrVquG3335D3bp1y31dpfX0tjx+/DgOHjyIjz/+WK9xzZ8/Hz///DPefvttvPfeewCAoUOHon379nqNi4iIqjbWtcaDdW35KMu69s6dO3jrrbegVqvx2muvwcvLC+np6dizZw/Gjx+PCRMmYPLkyWUQNRERkeFjnWk8WGeWj7I+fvrJJ5/A29s733AbG5syWT4R5cdGcKqS9uzZA5VKhY8++givvfYajh49avQNWQqFAt9//z1ef/11vPvuu9rhbdu2RcOGDTFhwgT8888/6Nmzpx6jLL26devCz89PZ1jPnj3xyiuvYPbs2WjdujWsra1hbW2db7qyUl7L1ee6TE1NK/R1lUZ5bstnNX/+fKxbtw4TJ07EpEmTtMNdXV0rpOgmIiIqDOta48G6tnyUVV2bnZ2NqVOnwsTEBJs2bYKTk5N2XNeuXWFvb4+VK1eiS5cuBR68JCIiqmxYZxoP1pnlo6yPn7q7uxvcMU+iyo7doVOVtHXrVgQGBiIwMBANGjTAr7/+qjN+5MiRmD17Nr777jt07NgRPj4+eOmll3Dx4kXtNMuXL0e3bt1w8OBB9O3bF02bNkWPHj2wfft27TSFdf3ydJfGmZmZ+Pbbb9G9e3c0bdoUzZs3x5gxY3D9+vUSv6bU1FRkZmYWeI+UDh06YNq0aahTp4522IMHDzB9+nQEBQXB29sbbdq0wfTp05GQkFDoOkoyT+fOnTFv3jyMGjUKzZs3x+zZsxEUFKS9cjavnj17YtasWSV+jblMTU0xadIkJCYmYu/evQDy5zorKwuff/45XnjhBTRt2hQvvvgifvzxR+3r6NKlCwBg1qxZ2m6SZs6ciVGjRuHTTz9FQEAABg4cCKVSWWAXO6GhoXjllVfg4+ODbt26YcOGDTrjC5onb9fZy5cvx4oVK/JN+/R8MTExmDVrFjp06ABfX18MGTIkX1eMnp6e2LhxI2bPno1WrVrB398fkydPRmxsbKE5fLo7n23btqFJkya4ePEihg8fDh8fH3Ts2BHff/99kduitEr7udm2bZv2PdKlSxed7qV+//139O7dG02bNkXHjh2xfPlyKJVKnfX9/fff6NevH3x9fTFw4EDcuHGj1DEvWLAA69atw3vvvafTAJ77evJ2h16S7w4AOHjwIAYNGgRfX1/06NEDu3fvRrdu3XS2fWRkJCZOnIgWLVqgXbt2+Omnn/LFplKpsHHjRvTt2xe+vr7o2LEjvvnmG2RlZWmnmTlzJt544w1s2bIFXbt2ha+vL1566SXcvXsXBw4cQN++fdGsWTMMHTq0VN85RERkGFjXsq5lXVs2de2hQ4dw69YtTJkyRacBPNfEiRMxYsQIqFQq7bAzZ87gjTfeQMuWLdG0aVN07twZy5cvh1qt1olt7969mDx5Mvz9/dGyZUvMnj0baWlp2uWU9HNTktr2xo0bmDhxIlq3bg1vb2+0b98ec+bMQWZmZpGvn4iI6GmsM1lnss6s2OOnucv//fffERQUhBdeeAG3b9+GSqXCd999hz59+sDX1xd+fn546aWXcOLECZ28FfdZA4C4uDh8+OGHaNu2Lfz9/TFixAicO3dOO16tVuO7775Dt27dtMt4ersRGRNeCU5Vzp07d3Dx4kUsWrQIADBo0CAsWbIE0dHRqF69una6ffv2wc3NDR999BGEEPjqq68wefJk/Pfff5DJZACAx48f44svvsC4ceNQq1YtrF27FjNnzoSvry/c3NxKHNP06dNx5swZvPfee6hbty7u3buHpUuXYtq0adi7d2+JuhpydHREs2bNsHbtWsTExKBbt25o3rw5HB0dYWJignfeeUc7bUZGBl577TU4ODjg008/hY2NDc6dO4eVK1fCzMwMX375Zb7ll2aejRs3YsSIEXj77bdhbm4OBwcHbNiwAampqbC2tgYAXLx4EWFhYfjiiy9KnKe82rVrB6lUivPnz2Po0KH5xs+dOxdHjx7FjBkz4OzsjMOHD+Orr76Cvb09+vTpgxUrVmDixIkYN24cunfvrp3v7NmzkEgkWL58OdLS0iCXF/w1OX/+fIwcORLjxo3DgQMHMGfOHJiZmWHYsGElin/o0KGIiopCcHBwoV34xMbGYsiQITAxMcG0adPg4OCAbdu2YcKECfj666/Rr18/7bSLFy9Gt27dsGjRIkRERGD+/PmQy+Xa93lJqNVqTJ06FaNHj8bUqVMRHByMb775Bl5eXmV6pm9pPjcdO3bEuHHjsHr1aqxYsUJbBK9ZswaLFy/Gq6++ilmzZuH69etYvnw5Hj16pL1f93///YfJkyejd+/eeP/993Hjxg188MEHpYr1q6++wk8//YQZM2bg9ddfL9E8xX13nDx5EuPHj0enTp0wZcoU3L9/H59++qlOw3V6ejpeffVVSKVSfPHFF5DL5Vi6dCnCw8Ph7++vne6TTz7Bjh078Oabb6JVq1a4du0aVq5cievXr+OHH37QfndcuHABMTExmDlzJjIzM/HZZ5/h7bffhkQiweTJkyGVSjFv3jy8//772LNnT6lyRERE+sO6lnUt69qCPUtde/jwYchkMnTo0KHA8U5OTvjkk0+0z2/cuIHRo0fjxRdfxOLFiyGEwM6dO7FixQrUr18fffv21U776aefYvDgwVi1ahUuXbqExYsXw9HRUXuguySfm5LUtjExMRgxYgT8/PywYMECmJqa4uDBg/j555/h7Oys89khIiIqCutM1pmsMwv2PMdP1Wp1vgt4JBKJ9rMCaC54+d///oc5c+YgPj4e7u7u+Prrr7Fp0ya8//778PT0RFRUFFauXIkpU6bg4MGDsLS0BFD8Zy09PR0vvfQSsrOz8d5778HV1RU///wz3nzzTQQHB8PNzQ2fffYZtm3bhrFjx8Lf3x9nzpzBvHnzkJycjAkTJpQ4T0SGgo3gVOUEBwfD1tZWey+UAQMGYMmSJfj9998xceJE7XRKpRJr167VFh1paWmYMWMGrl+/jqZNmwLQFDZz585FmzZtAAD169dHp06dcOjQoRIXcQqFAmlpafj444/Rq1cvAECrVq2QlpaGBQsW4PHjx6hWrVqJlrVs2TJ88MEH2LFjB3bs2AGJRIJGjRqha9euGD16NOzs7AAA9+7dg6urKxYsWKC9p0nr1q1x+fJlnD59usBll2aeatWqYebMmZBKNZ1NODo64vvvv8e+ffswePBgAMD27dtRt25dBAQElOi1PU0ul8Pe3h6PHz8ucPzp06fRtm1b9O7dGwAQGBgIS0tLODg4wNTUFI0bNwag6S6oSZMm2vmUSiU+//xz1KtXr8j1Dxo0CDNmzAAAtG/fHtHR0Vi5ciWGDBmifd1FyduNdmHd4Pz000+Ij4/H3r17tWehdujQAaNHj8bXX3+NPn36aNfl4eGhc3+eS5cu4a+//io2jryEEBg/fry2KG7RogX279+PgwcPlmkjeGk+N46Ojtr3W+PGjVG7dm2kpKRg9erVGD58OD766CMAQFBQEOzt7fHRRx9hzJgxaNSoEVauXAlvb298++23AIAXXngBALTPi5PbAA4A8fHxJX59xX13LF++HO7u7lixYoV2B83JyUmnG67t27cjMjISO3fu1Db8+/r6olu3btppQkNDERwcjKlTp2LcuHEANDs31apVw/Tp03H48GHtQdzU1FQsWbJEm9/Tp0/jt99+w7p167TbISoqCl999RWSk5Nha2tb4tdLRET6w7qWdS3r2oI9S10bHR0NBwcHWFlZlWgdN27cQNu2bbFw4UJt7O3atcPBgwdx5swZnUbwDh06aHPcpk0bHDt2DAcPHsR7771X4s9NSWrbW7duoXHjxli6dKn28962bVucOHECZ86cYSM4ERGVGOtM1pmsMwv2PMdPR48enW9Y3bp1sX//fp1h77zzjvYe74DmRMdp06bp9Ixgbm6OSZMm4ebNm9oLZor7rG3fvh0RERHYsWMHvLy8AAABAQEYMGAAzpw5A6lUii1btuDdd9/F22+/DUBzzFUikWDNmjV45ZVX4ODgUKp8EekbG8GpSlEqldi1axe6du2KrKwsZGVlwdzcHIGBgfj9998xbtw47ZlX7u7u2gIOgPYsx4yMDJ1l5v0Bzv1RTk9PL3FMpqamWLt2LQDND9r9+/cRFhaGAwcOANDcm66kXF1dsWHDBoSGhuLw4cM4deoUzpw5g1WrVmHLli3YuHEj6tevj8aNG2PTpk1Qq9WIiIjAvXv3cPv2bYSFheU7Gy1XaeZxc3PTKWQaNGiAFi1aYOfOnRg8eDAUCgX+/PNPjBo1qkRnaRalsPkDAwPx66+/Ijo6Gp06dUKHDh1KdLaaubm5tkgtSm7Bnatbt274559/EBYWBnd395IFX4zTp0/D399fpxsmAOjXrx9mzZqls66nC0FXV9d879WSyHuVsampKRwdHYt8Pz/r9nuez01ISAgyMjLQuXNnnfdebrdMx44dQ506dXD16lVMnjxZZ96ePXuWuBF83bp1mDdvHo4dO4YffvgBbdq0Qbt27Yqdr6jvDoVCgZCQEEyYMEEndz169NA5a/bs2bOoU6eOTlfrNWrU0Mlb7s5T3gOsANC7d2/MmjULp06d0jaC29nZ6exYuri4ANDdDvb29gDARnAiIiPBupZ1bXFY15a+rs3b1XlxBgwYgAEDBiArKwvh4eG4f/8+rl69CpVKle+9XtBrevjwoTa24j43mZmZJaptg4KCEBQUhOzsbNy9exf37t3DzZs3ER8fr631iIiIisM6k3VmcVhnlq7OzPX555/D29tbZ5iZmVm+6Tw8PHSe59Z78fHxuH//Pu7evYv//vsPQP73flGftbNnz6J27draBvDc9ed2l79582YIIQo85rp69WqcO3dOe2IMkbGoko3g8fHxGD58OObMmYPAwMAyWebp06excOFChIaGwtbWFq+88grGjh1bJsumsnPw4EHExsZi27Zt2nt55HXgwAHtF7mFhYXOuNyiJPf+brnyTpc7TUH3lSnKkSNHMG/ePISFhcHKygqenp7aKxBKuyxAU4C6u7vj9ddfR3Z2NrZt24YvvvgCixYtwrJlywBozpJbs2YNEhIS4OzsDG9vb1hYWCAlJaXQ5ZZ0Hmdn53zzDhkyBB9++CEiIyNx8eJFJCcnY+DAgaV+bbkyMzORlJRUYDc4ADB79my4urpi165d+PzzzwFoCpRPPvlE58zFpzk5OZWosMxtRMw7HwAkJSWV9CUUKykpCbVr1843PDe/ycnJ2mEFvV+f5b1jbm5equXkrlehUBQ4XqFQaLvkKWi+3HUAJX+vJyYmAoD2jMSnxcTEICkpCUIIODo66owr6VnBgOZe4P3790fXrl1x7tw5TJ8+HTt37izw/Z1XUd8diYmJUKlU+e4zKZfLdc6kTEpKyhc7oHnf5d6rKPe99vR7MXdZeT+XeXdIi4qViJ4Na0vSB9a1rGtZ1xattHVt7dq1cejQIaSlpRV6NfijR49Qo0YNAJrt9uWXX2Lnzp1QKpWoXbs2/P39IZfL862nuNdU3OempLWtWq3GokWLsHHjRqSnp6NGjRrw9fUt8OAqERmu8qgt33zzTZw6dUrn5OulS5dqe5Ugyot1JutM1plFK22dmatBgwbw8fEpdrqnjxtevnwZn3/+OS5fvgxzc3O4u7ujVq1aAPK/94v6rCUmJuZbdl65x1xzewZ4WnR0dLGxExma4vucqGTOnTuH4cOHIzw8vMyWeefOHbz99tt45ZVXcP78eaxZswY//vhjqbvSoPIXHByMWrVqYf369fke9vb2+PXXX8t0fbnFwNOFX1pamvb/8PBwTJgwAV5eXti/fz/Onz+PzZs3o1OnTqVa188//4zWrVvnO3vNxMQEw4cPR4cOHRAaGgoA+OOPP7BgwQK8/vrrOHHiBI4dO4bvvvsO9evXL3T5zzJPXi+++CIsLS2xb98+7N27F23atEHNmjVL9RrzOnXqFFQqFVq2bFngeFNTU4wbNw579+7FgQMH8MknnyAiIkJ7373n9XSxltswmbeQePpKktKc4Qport7NXW5euV0YGUL3M7kFZUxMTIHjo6Kiim00Lq3cq5S/+eYbBAcH53uMHDkS9vb2kEql+fKXW8yVRP/+/bXrW7BgAeLi4jBjxoxnKo5zOTk5wcTEBHFxcTrD1Wo1EhIStM8dHBwK3PZ548/tnuvpLq2ys7ORkJBgEO8PoqqAtSXpC+ta1rWsa8tWUFAQ1Go1jhw5UuD4xMREdOvWTXtf8Llz52Lfvn1YsmQJzp8/j3/++QcLFy4s9J6YhSnJ56akte13332HdevWYfbs2Th79iwOHjyIZcuWFXhyJREZpvKoLQHgypUrWLt2LUJCQrQPNoBTYVhnss5knWk4UlNT8eabb8LS0hK7d+9GSEgItm7dqu0yvzRsbGwKvOVjSEgIbt++rT3m+vPPPxd4zPXFF1987tdDVNGqVCP49u3b8f7772PatGn5xh0/fhxDhgxBQEAAevfujV27dpV4uZs2bUKXLl0wcOBASCQSeHl54ddff0WLFi3KMnx6TrGxsThy5Ah69+6NwMDAfI9evXrh2LFjiIiIKLN15l59+ejRI+2wpKQk3LlzR/v8ypUryMrKwtixY3W6kck9+FLSBjd3d3ckJCRgw4YN+capVCpERERou1I5d+4cbGxs8Pbbb2sPiKSlpeHcuXP5Cs5czzJPXpaWlujVqxd2796NI0eOPNdZjEqlEqtXr4azs7POPZJzZWZmokePHvjxxx8BADVr1sSIESPQu3dvREVFAYC226Zn9fTBsT179qBGjRrae+FYW1tr15Xr/PnzOs+Lu/dNy5YtERISku89uWvXLri4uBR7352K4OPjA0tLywIbZlJTU3H06FG0bt36udbxdJ6aNWsGExMTREdHw8fHR/swMTHBt99+iwcPHsDMzAz+/v74+++/dT5DuV0FlVbr1q0xZswYHD16FD/88MMzvxaZTIbmzZvjn3/+0Rn+33//6XQz1Lp1azx48ACXL1/WDouPj8eFCxe0z1u1agVAs4OV1549e6BSqfgbRFQBWFuSvrCuZV3LurbsBQUFwcPDA4sXLy7w4OCiRYuQnZ2NAQMGANC8jwIDA9G1a1dtz0dXrlxBfHx8id5HuUryuSlpbXvu3Dm4u7tjyJAhsLGxAaC5YufWrVuliomI9KO8asuIiAgkJSUVeVUnUS7WmawzWWcalrCwMCQmJuK1115Do0aNtPk4fPgwgPwnjxQlICAAERERuHnzpnaYQqHApEmTsGXLFu3JEgkJCTrHXBMTE7FkyZJSXVxEZCiqVHfoQUFB6Nu3L+RyuU5BeePGDYwbNw4LFy5Ely5dcPHiRYwfPx4ODg5o3749oqOjkZmZmW95pqamqFGjBi5duoS2bdvi3XffxbFjx+Do6IjRo0dj+PDhFfnyqBjbt2+HUqkstDuPgQMHYtOmTdiyZUuZrdPT0xM1atTAihUrYGNjA6lUiu+++06nWxJvb2/I5XIsXLgQr7/+OhQKBbZt24aDBw8CKPnZb+3atUOfPn2waNEi3Lx5Ez169ICjoyOioqLw66+/IioqCkuWLAEA+Pr6YvPmzViwYAE6deqEmJgYrF27FrGxsdqrS5/2LPM8bciQIRg+fDisra3RvXv3Es0THh6ubfjLzs7GgwcP8Ouvv+Lq1atYuXJlgd05m5ubw9vbGytWrICJiQk8PT1x9+5dbN++HT169AAA7UGhEydOwM3NDc2aNStRPLk2bNgAKysrNGnSBHv27MGRI0fw9ddfa89e7dixI/bs2QNfX180aNAA27dvx/3793WWkXt23e7du9GsWbN8964ZM2YMdu3ahTFjxmDixIlwcHDAjh07cPLkScybN6/YIrAimJmZYcqUKZg/f762eLaxsUFERATWr18PqVSKcePGPdc6cvO0f/9+vPDCC3Bzc8Obb76JpUuXIjU1FYGBgYiOjsbSpUu1jUUA8O6772LUqFGYOHEihg8fjnv37mH16tXPHMe0adNw9OhRLF26FK1atSr1eybX5MmTMXLkSEyePBlDhgxBZGQkli5dCuDJ2c/9+/fH+vXrMXHiREybNg3W1tZYvXq1TmHr7u6OgQMHYsWKFcjMzERgYCCuX7+OFStWIDAwEO3bt3/m10pEJcPakvSFdS3rWta1ZU8ul+Prr7/G66+/jsGDB2PUqFHw9PREQkICduzYgUOHDmHq1Klo3rw5AM37aO/evdi8eTPc3Nxw48YNrF69GhKJpFT3lizp56Ykta2vry9WrVqF7777Dn5+frh//z7WrFkDhULxTPe7JKKKVV615eXLl2FlZYVp06bh8uXLcHZ2xujRozFkyJCKfHlkJFhnss5knWlYGjRoAGtra/zvf/+DXC6HXC7Hvn37EBwcDAClqvEGDRqEDRs2YNy4cZgyZQocHR2xceNGZGZmYuTIkahbty769euHjz/+GA8fPkTTpk1x9+5dLF68GLVr1y5xjwZEhqRKNYI/fQ+KXL/++iu6dOmi/VFp3rw5hg0bho0bN6J9+/Z4//33cfr06XzzeXl5YefOnUhKSsL69euxePFifP311wgJCcHYsWNhZ2fHLiIMyPbt29GoUSNtA9nTfH190bBhQ2zduhV169aFiYnJc69TJpNh2bJlmDdvHt599104Oztj1KhRCAsLw927dwEA9erVw7fffosVK1Zg3LhxsLOzg5+fHzZs2ICRI0fi7Nmz8PT0LNH6Fi5ciMDAQOzcuRMfffQR0tPT4ejoiHbt2mH+/PnaImHgwIF48OABtm7dik2bNqF69ero0KEDXnnlFXz88ccIDQ2Fu7u7zrKfZZ6n+fn5wcHBAd27d89375TCrF69Wntwx8zMDNWrV0dAQAA+//zzQrclAHzxxRdYsmQJfvzxRzx+/BhOTk4YMmQIpkyZAkBzpuGYMWPw22+/4eDBgzh27FiJ4sm7/B9//BFLlixBnTp1sGjRIp0dhFmzZkGpVGq7ROzVqxfee+89fPTRR9ppunfvjp07d2LmzJkYMmQIPvvsM511uLi4YPPmzfj2228xd+5cZGdnw8vLC6tWrUKXLl1KFW95Gj16NFxdXbFp0ybMnDkTaWlpqFatGoKCgjBu3DjtfROfVWBgINq2bYtvv/0WJ06cwHfffYepU6fCxcUFmzZtwg8//AA7Ozu0adMG7777rrZADwgIwPfff49FixZh4sSJqF27NubNm4d33nnnmeIwNTXFN998gyFDhuDdd9/Fjh07nmk5AQEBWL58OZYuXYrx48ejVq1a+PjjjzFt2jTtvaxMTU3x888/Y968eZg7dy4kEgmGDRuGOnXq6HSlPnfuXNSrVw9bt27F2rVrUa1aNYwcORITJkww+iKfyBiwtiR9YV3LupZ1bflo3LgxgoOD8dNPP2Hz5s2Ijo6GpaUlPDw88N1336FDhw7aaWfOnIns7GwsWbIECoUCtWvXxrhx4xAaGor//vsvX9eehSnp56Ykte3YsWORkJCA9evXY+XKlahRowb69+8PiUSCNWvWICkpqcQH4Imo4pVXbalQKODn54dp06ahUaNGOHXqFCZNmgQrKyv07NmzXF8TGR/WmawzWWcaFhsbG6xatQpff/01pkyZAisrKzRu3Bi//PIL3nrrLZw9exadO3cu0bKsra3xyy+/4Ouvv8bcuXOhVCrRrFkzbNiwQdvDwvz587FmzRrtSSFOTk7o1asXpk6d+tw9AxDpg0Q8z81NjZinpyfWr1+PwMBAvPXWWzh58iTMzMy041UqFerWrYudO3cWu6w+ffrAy8sL33zzjXbY559/jvj4eO3VfUQEXLp0CUOHDsXWrVvRtGlTfYdDpBf//vsvXF1d4e3trR12+/Zt9OnTp9IU6ERVEWtLoqqFdS0REZWnsqwtC/L5558jLi4Oy5YtK6uQiaiMsM4kIio7VepK8MK4urpi4MCB+OKLL7TDYmJiSnwvETc3NygUCp1hKpWqxPMTVXanTp3CqVOnsGPHDrRu3ZoFHFVpR48exZ9//on3338fDRo0QFRUFFavXo2GDRsiKChI3+ERURlgbUlUebGuJSKiiva8tWVwcHC+q74VCoVOozoR6R/rTCKisse+UqG5z8bu3btx9OhRqNVq3Lt3D6+++ip+/PHHEs3/0ksv4d9//8XOnTshhMCZM2fwxx9/oH///uUcOZFxSEhIwE8//QQnJyfMnz9f3+EQ6dWMGTMwaNAgrF69GqNHj8aCBQvg6+uLDRs28CAEUSXB2pKo8mJdS0REFe15a8vU1FR8+eWXuHbtGtRqNQ4ePIjdu3dj+PDh5Rw5EZUG60wiorLH7tADAwEABw8exLJly3D//n1YWFigT58+ePfdd2Fqalqi5R06dAjLli3D3bt34ejoiDfffBMvvfRSeb4EIiIiIjIQrC2JiIiIqKyUZW0phMDq1asRHByMuLg41KlTBxMnTsSLL75Y3i+DiIiISK+qbCM4ERERERERERERERERERFVPuwOnYiIiIiIiIiIiIiIiIiIKg02ghMRERERERERERERERERUaXBRnAiIiIiIiIiIiIiIiIiIqo02AhORERERERERERERERERESVBhvBiYiIiIiIiIiIiIiIiIio0pDrO4CKEheXAiH0HUXpSSSAk5ON0cavD8xZ6Rl1ztLS4ezTCAAQe/k2YGVZIas16pzpCXNWesxZ6TFnpVdQznKHUeEq8j3G93X5Y47LV4XnV0/1oT7xPVy+mN/yxfyWP33nmLVlyRjyZ0Df7yFjwTyVnMHnykDqSYPPkwFhrkqGeSo55qpk9JGn0tSWVaYRXAgY9RvV2OPXB+as9IwyZ0IAKSk5/wqgguM3ypzpGXNWesxZ6TFnpceclY4+8sVtVP6Y4/JVYfnVc32oT3wPly/mt3wxv+WPOTZsxrB9jCFGQ8A8lZzB5srA6kmDzZMBYq5KhnkqOeaqZAw1T+wOnYiIiIiIiIiIiIiIiIiIKg02ghMRERERERERERERERERUaXBRnAiIiIiIiIiIiIiIiIiIqo0qsw9wYkMnVKlxrmIJNx6nIp0hQrp2SrIpVJ40WyBGwABAABJREFU17BBs5q2cLIy1XeIRERERGSkUrOUuBGdipjULMSmKhCXroCtuRx17C1Q18ECdR0sYWkq03eYRERERFQJpGQqcSc2DXfi0hCekAGVWkAmlcBEJkVdBwt4u9rA3sFK32ESEVElx0ZwIj27+igZOy5H4cDtWCRlKgudrp6DBV5qXgv9mrrCVM5OHIiIiIioaNkqNY7fTcBf16Nx+E4cFCpR6LQyqQQvuDmhf1NXtK7vAJlUUoGREhEREZGxS1MoceB2LP66HoMz4YlQF156AgDMTaQIauCIvk1dEViP9ScREZU9NoIT6UlKphLLj4Rh+6Uo7TAHCxO0rGsPG3M5rExlSM1S4VJkMu7EpuF+Qga++jcUP50Kx6hWdTDItwbkMjaGExEREZEutRDYfukR/nfsPhIzsrXDa9iaoZadOVyszeBkZYrEjGxEJGQgIjED8enZOHA7Fgdux6KatSmG+9fCyy1qwYT1JhEREREVITVLiQ1nIrDp3ENkKtXa4a42ZmjobIn6jpYwl0uhVANZShVCY9NwIzoVaQoV/rkVi39uaerPEQG1MdSvJutPIiIqM2wEJ9KDA7dj8dW/oYhLUwAAeni5oG9TV7SoYw95AWc9pmQq8ee1aPx8JgIxqQos/O8O9t14jDm9vVDD1ryiwyciIiIiA3UzOhXz/7mNq1EpAABnK1P08KqGnk2qwcPFChJJwVfYhD5Ow84rUdh7LRoxqQosP3IXu69GY0ZXd7SoY1+Br4CIiIiIjIFSLbD1QiR+OBmuPfGyroMFejauhhcbV0Nte4tC5xUQiFEI/HIsDHuvxSAmVYHFB8Pw+4VITGrfAJ0aORdatxIREZUUG8GJKtiGMxFYdvguAE0X5x92b4Tmte2LnMfGXI7hzWthgG8N7LwchVVH7+JSZDJGrD+Pj3p4oHMj5wqInIiIiIgMlUotsOroPfxyNgJqAViZyjA+qD4GNatZ4EmWT3N3scJ7ndwwqX0D/HUjBisO38Xd+HS8s+USejephvc6ucPGnLuPRERERAREJWfikz9vIORhMgDNMc6J7Rugg7tTiRqvpRIJmtayxfud3TGpfUPsuRaNNcfv40FiJmb8cR3tGjjikxc94GhpWt4vhYiIKjH2LUJUQYQQWH74rrYB/KXmtbDptRbFNoDnZSaXYph/TWx8rTm8XW2QkqXEjF3X8N3xexCimBvtEBEREVGllJGtwvRd17D+jKYBvLunC4LHBGCYf60SNYDnZSqXol9TVwS/HoDBzWpAAmDPtRiM2RSC+/Hp5fMCiIiIiMho/Hc7FiM2nEfIw2RYmcowo4s7fh0dgI7PePW2qVyKgb41sO31lnizdV2YyiQ4djcer6w/j1P3EsrhFRARUVXBRnCiCiCEwPx/bmP9mQgAwKT2DfBeJzeYyp/tI1jLzgLfv9QMI1rUBgB8fyIcSw/dZUM4ERERURUTm5qFsb9dxOE7cTCVSTCvT2PM7dMYztZmz7VcW3MTzOzaCGtf9kN1GzPcT8jA6E0hOHkvvowiJyIiIiJjIoTAd8fvYcaua0jOVMLb1Qa/jGyOIX4l63moOJamMoxtVx/rRvijgZMl4tIUmLj1Mr4/cZ/HPImI6JmwEZyoAvxwIhzbL0VBKgFmd2uE11rVee5lmsikmNqxId7t5AYA2HjuAb76NxRqFoVEREREVcL9+HSM2XQB16NTYW9hgtXDmqGbp0uZrsOnpi1+HuEP35q2SM1SYcq2K/jt/MMyXQcRERERGTalWnOBz/cnwgEArwbUxg8vNSvyvt/PqpGLNdaP8MfgZjUAAN8dv485f9+CUqUu83UREVHlxkZwonL2z83H+O7EfQDAh90aYYBvjTJd/svNa2F2t0aQANh68REW/hvKsyOJiIiKkJiYiOnTpyMwMBAtW7bE+PHjERMTo++wiEolJiULE4MvIyolC/UcLPDTK37wrWlbLutysjLF6qG+6OtdHWoBfHPgDn45+6Bc1kVEREREhiVLqcbMXdew/VIUJABmdnXHlA4NIZeVX9OCuYkMM7s2wsyu7pBKgF1XojFtx1WkKZTltk4iIqp82AhOVI5uRKfgs79uAgBeaVEL/X3KtgE81wDfGvi8lyckAIIvPuJBSSIioiJMmjQJ6enp2L9/Pw4cOACZTIaPP/5Y32ERlVhyZjYmb9M0gNd10NwmpzyuwsnLVC7Fxz088FabugCApYfCsOkca04iIiKiykypFpi9+zoO5dx6Z0G/JhjcrGaFrX9ws5pY2N8b5nIpTt5LwJStV5CuUFXY+omIyLixEZyonCSmZ+O9HVeRpVSjTX0HTHqhYbmur2fj6pjaUbOOZYfv4p+bj8t1fURERMboypUruHjxIhYsWABbW1tYW1vjyy+/xPvvv6/v0IhKJDNbhfd2XMWd2HS4WJtixRAfOFiaVsi6JRIJ3m5bH2+01jSELz4Yhl/ZNToREVVi8fHx6NatG06dOlXoNIcOHULfvn3h5+eHnj174sCBAxUYIVH5UQuBL/fd1DaALxnUFJ0bOVd4HC+4OeF/w3xhYybHxchkTNt+BZnZbAgnIqLiyfUdAFFl9dW/txGTqkA9BwvM69MYcqmk3Nf5cvNaiEzKxG8hkfh07w24WJuiWS27cl8vERGRsbh06RLc3d2xZcsWbN68GRkZGWjfvj1mzJhRquVIyv9nPd+6KnKdVY2x5FgtBD7+8wYuPEyGtZkMywf7oKadeYXH8U67ehAQ+PFkBL49cAcWplIMKKLHowrPb571SCS6zysrY3kPGyvmt3wxv+VP3zk21m177tw5zJw5E+Hh4YVOc+/ePUyaNAmLFi1Cx44d8ffff2Pq1Kn4+++/Ub169QqMlqhsCSHw7X938Oe1GMgkwPy+TdCyroPe4vGuYYvlg5tiQvBlnH+QhPd2XMW3A7xhbiLTW0xERGT42AhOVA7+vhGDf27FQiaV4MveXrA2q5iPmkQiwbSObohKzsKhO3GY8cd1/DKyOZytKubqICIiIkOXlJSEmzdvomnTpti+fTsyMzMxffp0zJgxA2vWrCnxcpycbMoxSsNZZ1Vj6DledTAUB0PjYCqX4sfRrdCqgaPeYvm4vw9MzUzxv0N3sGB/KBrXcUQ796KvDKqw/Fo86fDM2dkGsLKqmPUaAEN/Dxs75rd8Mb/ljzkuue3bt2PZsmX44IMPMG3atCKnCwgIQNeuXQEAvXr1wrZt2/Dbb79h8uTJFRUuUZn75ewDbLkQCQmAz3p64QU3J32HBO8atlg6qCkmbb2M0+GJ+PjPG1jQtwlkFXDhERERGSc2ghOVsdg0Bb7+NxQA8HpgHTSuXrE7mbkN76M3hiAsLh0f77mOFUN8WRASEREBMDXVnBg2e/ZsmJmZwdraGlOnTsWwYcOQlpYGqxI2lsXFpUCI8oz0CYlEc9C6ItdZ1RhDjs9HJOKbfTcBANO7uKGhjQliY1P0GtMbATVxNzoZ+248xtgNZ7HuFX/Ud7LMN12F5zctDbnN8bGxKUCGugJWql/G8B42Zsxv+WJ+y5++c5y7fmMSFBSEvn37Qi6XF9kIHhoaCg8PD51h7u7uuHHjRqnXachXzOu7NwFjUVnydPxuPFYcuQsAeLeTG3o2qVbm63jWXPnVtsOSQU0xMfgyDobGYfnhMEzr5Fbm8RlKz0KV5T1VEZirkmGeSo65Khl95Kk062IjOFEZEkJg7t+3kJSphGc1a7weWFcvcViYyPBV3yYYtTEEZyOS8N3xexgX1EAvsRARERkSd3d3qNVqZGdnw8zMDACgVmsayEQpjgoLgQo/iKyPdVY1hprj+HQFPtx9A2oB9GpSDf28XQ0kTgk+7uGJR8lZuBSZjCnbrmDdK/6wtzQpcOoKy2+edQih+7yyM9T3cGXB/JYv5rf8Mccl5+LiUqLp0tLSYGFhoTPM3Nwc6enppV6nMZwoYAwxGgJjzlPY41TM3qOpO19qWQcTu3tCUo4tG8+Sqx7ONvhGIsWUXy9g47mH8Kptj5Ft6pdtYAbWs5Axv6cqGnNVMsxTyTFXJWOoeWIjOFEZ2n/zMY6GxcNEJsFnPT0hl0mLn6mc1HeyxOzujTB7zw38eCoCvjXt0K6h/rrMJCIiMgRt27ZFnTp18OGHH2L+/PnIysrC4sWL0bVrV1hbW+s7PKJ8VGqBj/fcQGyaAg2cLDGza6NyPRBZWmZyKb7p3wSjN13Aw6RMfLDrKlYN9YWJHutgIiKiimJhYYHMzEydYZmZmSXuXSgvQ+4NQd+9CRgLY89TapYSYzaGICVTCd+atpjcrh7i4lLLZV3Pm6t2tW0xLqg+Vh+9h093XYWdXIK2ZXmrIAPpWcjY31MVibkqGeap5JirktFHnkrTyxCPTBCVkcxsFZYd1nQVNKZVXbg76//eg929qmGoX00AwOd/3UR8ukLPEREREemXiYkJNmzYAJlMhh49eqBHjx5wdXXFvHnz9B0aUYHWn4nA6fBEmMulWNC3MSxMZPoOKR8HS1MsHugNK1MZLjxM1nafSUREVNl5eHjg9u3bOsNCQ0PRqFGjUi8r90p9Q30YQ4yG8DDWPKnVAvP338b9+AxUszbF1/2awEQmNehcjWlVB/2aVodaALN330BEQkaZx2cI29MQYjCWB3PFPDFXVSdPJcVGcKIysuHMA0SnZMHVxgwjW9bWdzhaUzs0RCMXKyRkZGPu37dRmq5eiYiIKqPq1atj8eLFOHr0KM6cOYOvvvoKtra2+g6LKJ+wuDR8f+I+AOCDLu5o6KT/kywL09DJCp+96AkA2HTuIQ7cjtVzREREROWvX79+OH36NP78808olUr8+eefOH36NPr376/v0IhK5Y+r0dh34zFkEmB+3yZwsjLVd0jFkkgkmNGlEZrWsEFKlhIzdl1DZrZK32EREZEBYSM4URmISs7Ez2ciAABTOjSEuQFdoWMql+Lznp4wkUlw+E4cdl2J0ndIRERERFQMlVrgy323kK0SaNfAEX29q+s7pGJ1bOSMV1rUAgB8se8mHiRm6DkiIiKisufv749du3YBANzc3LBy5UqsWbMGLVu2xKpVq7B8+XI0aNBAz1ESldy9uHQs/DcUADC2XX341jSeE4RN5VIs6NsEDhYmuPU4DQv+DeUFQEREpMV7ghOVgWWH7yJLqUbz2nbo4uFc/AwVrJGLNca1q49lh+9i0YEwtKhjj9r2FvoOi4iIiIgK8ev5h7jyKAVWpjLM6mZY9wEvyqT2DXA5MgWXHyVj1h/X8cPLfv9n767jq67+OI6/bqy7iwXb6BzdIlggpSCoGGAAIoqFlP4UA7EVKREVEDFApBRBFOnuHGPFuru3e39/XJhMGGywu+/d9nk+HvfBbuz7fe9wt312zvecg6WZXHsthBCi7goNDa1w/+jRoxXu9+7dm969e9dmJCFqTHGpjhm/naWwVEdnP0ce7+KrdKRq87Cz4N1BzZm0+iS/nU6inbc997X1UjqWEEIIEyC9EULcouNxWfwZmoJaBS/dHmSyHZQPd2xEiI89+SVlvPVHKDq5KlIIIYQQwiRdzChg4e4owLDKkIedhbKBqkGrUTN7UHMcLLWcS87lix0RSkcSQgghhBCVWLw3mrCUPBytzJg1oBlqE+3XvJHOfk5M7GVYgeHjbeFEpOUpnEgIIYQpkEFwIW6BXq9n/q4oAAa39qSZu62yga5Do1bxxoBmWJmpORqXzZrjCUpHEkIIIYQQ/6HT63lny3mKLs3GGdbGU+lI1eZpb8lbA5sD8NPRePZFpSucSAghhBBC/NfpxBy+u7S944w7m+BmW3cuvLyWRzs3opu/E0WlOl777RxFpTqlIwkhhFCYDIILcQsOXMzkaGwW5hoVT3f3VzrODfk4WPHspasiv9gRSWJ2ocKJhBBCCCHElf44m8zR2CwstWpm1KFl0P+rR2NnRrb3BuDNTefJyCtWOJEQQgghhLisuFTHrD9C0enh7uZu3N7E9LZ3rC61yjAByMnKjLCUPObtjFQ6khBCCIXJILgQN0mv1/PlpWUq72vrVWeWqRzR3ps2XoZl0d//6wJ6WRZdCCGEEMIk5BWXMneHobPuiW5+NHK0UjjRrXmuT2MCnK1IzStm5tqTUncKIYQQQpiIJfuiiUzLx9najFduD1Y6To1xtTHnf/c0BeDHI3HsjpQViYQQoiGTQXAhbtLuyHROJuRgoVUzpquf0nGqTKNW8drdTTDTqNgVkc6WcylKRxJCCCGEEMA3+y6SlldMI0dLRndspHScW2ZppuGtgc3RqFX8fjKR388kKx1JCCGEEKLBC03KZfkBwzLo0+5ogqO1mcKJalavQBdGhRhWJHpn83myCkoUTiSEEEIpMgguxE3Q6/Us2h0NwMj23rjamCucqHoCXWx44tLA/UfbwqUYFEIIIYRQWHR6PisPxwHwUt8gzLX140+1Fh52jOth2Dbog78uyHY8QgghhBAKKtPpmb01jDI93NG0fiyDfi2TejfG38mwItFH28KVjiOEEEIh9aNnRYha9s+FNEKTc7E20/BYZ1+l49yUx7v40tjFmsyCEhbsilI6jhBCCCFEg/bpPxGU6vT0aOxEr0BnpePUqDFdfOng50hecRnvbQ2TZdGFEEIIIRSy5kQCZxJzsDHX8PLtgUrHMRpLMw1vDmiGWgV/nE3m77BUpSMJIYRQgAyCC1FNer2epZeWDBrVwbvOLhlkplEztb9hz581xxM4HpOpbCAhhBBCiAZqV0QauyPT0apVvNQ3CJVKpXSkGqVRq/hgRDvMNSr2RGbw25kkpSMJIYQQQjQ4qXnFzN8ZCcDEXo1xtbVQOJFxtfayL5+8NOfPMNLzixVOJIQQorbJILgQ1XQoJpMziYa9wB/q4KN0nFvS0deRAS3c0QOvrT1FmU5m5QghhBBC1KZSnZ7Pt0cA8FAHH/ydrRVOZBzB7raM6xEAwCfbIkjNLVI2kBBCCCFEA/PZP+HkFZfRwsOW4e28lI5TK57u7k+wqw0ZBSV8IsuiCyFEgyOD4EJU0/IDsQAMae2Jk3Xd2gv8Wp6/LRAbcw0n47L49USC0nGEEEIIIRqUjacSiUovwMFSyxPd/JSOY1SPdG5ECw9bcopKmbP1giyLLoQQQghRSw5ezGDzuRTUKph+ZxM06vq18lBlzLVq/ndPU9Qq2HwuhT2R6UpHEkIIUYtkEFyIajiXlMO+6Aw0KhjdqW7PAr/M1cacib0CAJi/M0qWBhJCCCGEqCWFJWUs3hsNwBPd/LC10CqcyLi0ahX/u7sZWrWK7eFp/BmaonQkIYQQQoh6r1Sn5+NLs6CHt/OmhYedwolqVwsPO0aFGPpx398aRkFJmcKJhBBC1BYZBBeiGpYfNMwCv7O5Oz4OVgqnqTkj2nvTytuenKJS5u6IVDqOEEIIIUSD8OOROFJyi/Gyt2BEO2+l49SKYDcbnuhqmPH+8bZwsgtLFE4khBBCCFG/rTmeQHhqPg6WWsb38Fc6jiIm9AzA086C+OwivtoTrXQcIYQQtUQGwYWoopiMAv46b5it8ljnRgqnqVkatYp3hrVGBfx2OomjsVlKRxJCCCGEqNcyC0pYdjAGMHTKmWsbzp9mj3fxJcDZivT8EubtlAswhRBCCCGMJbOghC/3RAEwvmcADlZmygZSiLW5hlf7BwOw8nAsocm5CicSQghRGxpOT4sQt2jl4Vh0eujZ2JkmbrZKx6lxIX5ODGvrCcD7f4VRWqZTOJEQQgghRP317f6L5BaV0cTNhntauCsdp1aZa9VMu6MJAL+eSOR4nFyAKYQQQghhDF/tiSa7sJRgVxvua+uldBxF9Q5yoX9TV8r0MPvPMMp0eqUjCSGEMDIZBBeiCrILS9h4OgmoP3uBX8uzvRvjYKklPDWfn47GKx1HCCGEEKJeSswuZNUxQ601qXdj1CqVwolqX0dfRwa18gDgva1yAaYQQgghRE2LSMvjl+OGmvOl2wPRqhtezflfr9wehK2FhjOJOeX1uBBCiPpLBsGFqIJ1JxMpLNXRxM2GTr6OSscxGkcrM57r0xiAxXuiSc4pUjiREEIIIUT98+3+GErK9HRo5ED3ACel4yhmcp/A8gswVx6OUzqOEEIIIUS9Mm9HJGV66BvsQme/hltzXsnV1oJJvQ19nwt3RZGYXahwIiGEEMYkg+BC3ECpTl9+ZeCoEG9U9XymzuDWnrTxsie/pIy5OyKUjiOEEEIIUa/EZxWy/lQiAON7+tf72vJ6HK3NmHxbIACL90YTnyWdkEIIIYQQNeFobBY7I9LRqAwrP4p/3dfWi7behr7PD/8OR6+XZdGFEKK+kkFwIW5gx4VUErKLcLQy4+7m9X+/RrVKxav9g1ABm8+lcDgmU+lIQgghhBD1xjf7L1Kq09PZz5EOjRyVjqO4Qa086NDIgaJSHR/+fUE6IYUQQgghbpFer+eLSxNbhrbxIsDZWuFEpkWtUjHjziZo1Sp2hKfxz4U0pSMJIYQwEhkEF+IGfjxiWJrx/raeWJppFE5TO5p72HF/Oy8APvz7guzRKIQQQghRA+KyCth4OgmA8T38FU5jGlQqFdPvMHRC7opIZ1tYqtKRhBBCCNLS0pg4cSKdOnWia9euvPvuu5SWll7ztcuWLaNfv3506NCBwYMHs3nz5lpOK0RF2y6kcTIhB0utmqe7+ykdxyQFudrwaOdGAHz6TziFJWUKJxJCCGEMMgguxHWcS8rhaFw2GrWKEe29lY5Tq57pGVC+R+Oq4wlKxxFCCCGEqPO+2XeRMp2ebv5OtPNxUDqOyQhwseaxLr4AfLQtnNyiaw8yCCGEELXlhRdewNramp07d7J69Wr27t3L0qVLr3rd9u3b+fLLL1myZAlHjhxh0qRJvPDCC8TGxtZ+aCGA0jId83dGAjC6UyNcbS0UTmS6nujqh6edBQnZRSw7EKN0HCGEEEYgg+BCXMdPRw17gd/R1BW3BlY0OliZMfHSnkFf7o4iLa9Y4URCCCGEEHVXTEYBv12aBT5OZoFfZWwXXxo5WpKSW8yi3VFKxxFCCNGARUdHc+DAAaZMmYKVlRW+vr5MnDiR77///qrXRkREoNfry28ajQYzMzO0Wq0CyYWAdacSuZhRgJOVWflMZ3FtlmYaXuwbCMDygzHEZhYonEgIIURNk0FwISqRWVDCn6EpAIwM8VE4jTKGtvakhYctecVlfHHpKlIhhBBCCFF93+y/SJkeejR2oo23vdJxTI6lmYZp/ZsA8PPReM4k5iicSAghREMVFhaGo6MjHh4e5Y8FBQURHx9PdnZ2hdfee++9uLq6MnDgQFq1asXkyZOZM2cOnp6etR1bCPKLy1i8JxqAp7r7YWMuF2PcyO1NXOni50hxmZ5PtoUrHUcIIUQNk0FwISqx8XQSRaU6mrnb0sbLTuk4itCoVbzaPxiA304ncTwuS+FEQgghhBB1T1xWAZvOXJoF3l1mgVema4ATdzd3Qw+892cYZTq90pGEEEI0QHl5eVhZWVV47PL9/Pz8Co+XlJTQvHlzVq1axbFjx3jrrbeYOXMmoaGh1T6vSmXat7qQ0RRuSrbTysOxpOeX0MjRkvvbeSneFqbcVpdvarWKKf2D0ahV7IxIZ3dEWoV8ppDRFDLUlZu0lbSTtFXDaaeqqlOXg5WVlTFmzBh8fHyYM2eO0nFEPabT6/nluGEp9OHtvFBV57uqnmntZc/Q1p6sO5XIh3+Hs2x0CBp1w20PIYQQQojq+u5gLGV66ObvRCsvmQV+PS/2DWJ3ZDrnknP55XgCI0O8lY4khBCigbG2tqagoOKyyJfv29jYVHj87bffpkOHDrRt2xaA4cOHs3HjRn799VemTZtWrfO6uJj+BIy6kNEUKNFOqblFrDhk2It+6oAWeHk41HqGm2EK7ylXVzue7NWYxTsi+HRHJPd08MXSSl3hef7zvV/bTKGd6gppq6qRdqo6aauqMdV2qlOD4PPmzePQoUP4+DTMpalF7dkfnUFsZiE25hruaeGudBzFPds7gL/DUglNzuXXEwmMaC+dkUIIIYQQVZGcU8T6U4kAPNHNT+E0ps/FxpyJvRrzwV8XWLArkn5NXXG1MVc6lhBCiAakSZMmZGZmkpqaiqurKwDh4eF4enpiZ1exgzc+Pp7WrVtXeEyr1WJmZlbt86al5aA30UVQVCpD57YpZzQFSrbTB39dIK+4jJYetnT1tiU11bS3ljG199TD7TxZcziW6LR85m4+xxNtXHC99Fxqag4U6BTJZWrtZMqkrapG2qnqpK2qRol2unzOqqgzy6Hv3buXLVu2cNdddykdRTQAq48lADColQdWZhqF0yjPydqcCT0DAFi4O4rM/BJlAwkhhBBC1BErDsVSUqYnpJEDIY3qxowcpd3f1osWHrbkFZfx2T+yN6MQQojaFRAQQMeOHZk9eza5ubnExMSwYMECRowYcdVr+/Xrx4oVKzh9+jQ6nY4//viD/fv3M3DgwGqfV6837VtdyGgKNyXaKSajgF+OG/oyn+sTiAqV4u1gqm1V2c3GXMvztzUG4Ot9F0nMLjSZ701TyFBXbtJW0k7SVg2nnaqqTgyCp6WlMXPmTD7++OOr9uSpKqXXxK9r6+nX9duttFlSTiG7ItIAeKC9t+Jfi6m02fD2XjR1syG7sJQFuyMVz/vf7Ep8n8j3prSZtJlp3qTNaqbNhBC3Lj2/mDUnDB2ST3aVWeBVpVGrmHZHE1TA5nMpHLyYoXQkIYQQDczcuXMpLS2lf//+jBw5kt69ezNx4kQAQkJCWL9+PQCTJk1i9OjRPPfcc3Tu3JnFixczf/58WrRooWR80cAs2XeRMp2ebgFOdPJzVDpOnXVPc3fa+9hTVKpjwa4opeMIIYSoASa/HLpOp2PKlCmMHTuW5s2b3/RxTHU9+qqq6/mVcLNttvRwPDo9dA90oVMzjxpOZdpu1Gazh7dlxKK9rD2ZyJjeQbTzdaydYNej8B498r1ZfdJm1SdtVn3SZtUnbSZEzfvhcBxFpTpaedrRxd9R6Th1SktPO0a092bVsXje33qBlY91xFxbJ67hFkIIUQ+4uroyd+7caz539OjR8o+1Wi3PPfcczz33XG1FE6KCqPR8Np1JAihfxVHcHJVKxZR+wTy64gjbwtKUjiOEEKIGmPwg+Jdffom5uTmPPvroLR2nrq7br1LJvgPVdSttVlqm44cDFwEY2srd5PfPqSlVbbMAWzMGtnTn9zPJzPjlBN+Obo9a6emCeXmK7NEj35vVJ21WfdJm1SdtVn3XarPLjwkhbl52YQmrjsUDMLarHyqla6Y66JmeAfx1PoXojAJWHIqVPdWFEEIIIf5jyd5odHroHehMK0/5G+5WNXW3ZXg7bzYeiFA6ihBCiBpg8oPg69atIzk5mU6dOgFQWGjYj2Pr1q0cOnSoysep7jrxpqau51fCzbTZzvB00vKKcbIyo0+QS4Nr86q02XN9Atl+IY3TiTmsP5nI0DZetROuMlfk1esr3q+V08v3ZrVJm1WftFn1SZtVn7SZEDVr9bEE8orLCHa1oXeQs9Jx6iQ7Sy0v9A3kf7+H8s3+i9zdwg0fh5vbHksIIYQQor4JT81jy7kUAMb3CFA2TD0yvoc/O09cVDqGEEKIGmDy68n98ccfHDlyhEOHDnHo0CEGDRrEoEGDqjUALkRVrT2ZCMCgVh6YaUz+20MRrjbmjOvhD8C8nVFkFZQonEgIIYQQwrQUlpTx45E4AB7v4qv8yjl12D3N3enk50hRqY6P/g5HL1frCCGEEEIAhlngeuD2Jq4087BVOk694WBlxpNXrEAkfZ9CCFF3ySifEJckZheyNyodgKFtPBVOY9pGtvcm0MWazIISvtwTrXQcIYQQQgiTsvF0EhkFJXjbW3BHMzel49RpKpWKqf2C0apV7IpI558Lsj+jEEIIIcT55Fy2nk9FBeWTVUTNGdL6377hr/fJrHAhhKir6twg+Jw5c5gzZ47SMUQ9tOFUEjo9dGjkgL+ztdJxTJpWo2ZKv2AAfjkeT2hyrsKJhBBCCCFMQ6lOz4pDsQCM7tQIrVpmgd+qABdrHu3cCICPt4WTX1ymcCIhhBBCCGV9tdcwKeWOZm4Eu9oonKb+UV9Rw68/lSh9n0IIUUfVuUFwIYyhTKdn/SnDUujD2sos8Kro5OfInc3c0Onhg78uyNKUJiAhIZ4dO/5ROoYQQgjRoP19PoW4rEIcrcwqzCARt+aJrn5421uQlFPEkr2yElFVSX0ohBBC1D9nk3L450IaahWM6y6zwI1Np4eP/27YfZ9SUwoh6iqt0gGEMAX7ozNIzCnC3lJLvyayZGVVTb4tkF0RaZyIz2bT2WQGtvRQOlKDVFRUyOrVP7Fz53YSEuI5dGg/o0aNxsenkdLRhBBCiAZFr9ez7EAMACNDvLE00yicqP6wNNPwSr9gXlp7mpVH4hjYykNmPV2H1IdCCCFE/fXlbsMFgfe0cCfARVazNDYLrZqjcdn8GZrCXc3dlY5Tq6SmFELUdTIILgSw9qRhFviAFu5YaGWBhKrysLPgyW7+zNsZyefbI+gT5IKthfxYqU1lZWU899wEIiMj6NSpC/n5eRw8uJ8tWzbx1VfL8fX1q9JxvvjiE0JDzzFv3uKrnvv99w38+OMKYmNjcHZ2YeDAwTz++JNoNIaOfb1ez/r1v7Jmzc/Ex8fh6OhMr159eOqp8djY2JYf5+mnx3DmzKmrjr9o0be0bt0GgMTEBObP/5yjRw+j1+to27Y9kya9WKG43rdvD6+88vxVx+nSpTuffPJFpV9jRkY6ixcv4MCBfWRnZ+Pr68fo0Y/Rv/9d5V/n7NmzKv38mTPfZMCAQZU+L4QQQuyPzuB8Sh5WZmoeaO+tdJx6p3eQC32DXfjnQhrvbw1j8ah2qFSy3Px/Gbs+zMzM5Msv57Fnzy7y8/No2bI1EyZMokWLVuWvqWp9OG7cjevDK507d5bx48cwdeprDBw4uMJzN6pZryUhIZ4FC+Zy9OghSkpK6NChM8888xx+fhVn1e3Zs4vly78mNPQ8Dg4O3HZbP8aPfxYrK6vrN6IQQghRw07GZ7M7Mh2NCp7qJrPAa8Pojj7MP5rC3B2R9AlyaTAXut5sTTlp0jiOHTtS6XF37TrE119/ybffflXpa7744ktCQjpe9fiMGVM4f/4cq1dvqPD47t07Wbr0K8LDL2Bv70Dfvv0ZN+4ZrK3/vWj2woUwFi78gtOnT6BWa+jRoxcTJjyHq6vrddshPPwCCxbM5cyZU5ibm9G5czcmTnweZ2eXa75+1aof+emn76/KKIRQhoxWiQYvLa+YHeFpAAxr66Vwmrrn4Y4+rD+VyMWMAhbsiuLV/sFKR2pQdu3azpkzp/jww8+wsLBk06aNPPfci4wcOYzvvvuWGTPeuOExVqxYyk8/raR9+w5XPffLLz/z6acf8NBDjzJ5cg9OnTrBt99+RUlJCePHPwvAypXLWbx4AQ899CgdO3YmLi6GJUsWERERzmefzUelUqHT6YiIuMCTTz5Jly69uHIFqcDAIAAKCwt54YVnKSsr48UXp2Bubs6SJYt47rnxLFv2I3Z2dgCEhZ3Hzs6eDz/8vELWy89fS0lJCS+9NImcnByeemoCrq5ubN++jTfemEFJSQn33HMv3bv3YtGib//zmXref/8d8vLy6Nat5w3bUghRt5SVlTFmzBh8fHyYM2eO0nFEPbDsoGEv8GFtvHC0MlM4Tf308u1B7IvK4FhcNhtPJzFYlpy/ijHrQ51Ox/TpL5GQkMCECZNwdnbhp59W8vzzE/jmm+/LO0OrUx8+/PCj9OnTr8J5LteHVyouLubdd9+grOzqPeGrUrP+V35+Hi+++CwajYaXX56GmZk5y5Yt4bnnxvHddz9jb+9wqT13MGPGKwwbNoynn55IZGQEX365gMzMDN58890btqUQQghRk77cEwXAva088HWSi7Fqw0MdffjlQjaJOUUsOxDD+J4BSkeqFTdbU7788jTy8vIqPBYfH8s777zBkCH3ATB48DC6du1R4TUlJcW8+eYMXFxcadmyFf+1efPv7NixDU/Piv3327dv47XXXiUkpCOfffYZ6ek5LFv2Nc8//wyLFn2DVqslOTmJyZMn4Ovrz//+9w6FhYUsXjyfF16YyNKlK9Fqrz1MlpaWyvPPj8fDw5OZM9+gsLCQhQu/4JVXnmfx4mVXfd6WLZuYN+9T3Nwa1ooBQpgyGQQXDd7G00mU6fS08bKTJRVvgplGzbQ7gpm46iSrj8VzTwt32nrbKx2rwYiOjgKgQ4dOnD5tmEVjb+/AG2+8ja1t5YPCAPHxcXzxxafs2bMTW1vbq54vKCjgyy/n8/DDjzJx4mQAOnbsTE5ODocO7Wf8+GfR6XR8991Shgy5nwkTJgHQuXNX7O0d+d//phEaepbmzVsSE3ORwsJC+vbtS2BgC661jdKJE8eIjb3IZ58toFOnLgD4+QUwevQIdu3aXj4L+8KFUIKDm1xzdlBl9uzZSVjYeb76aln5LKXOnbuSlJTA998v45577sXJyQknJ6cKn/fzzz8QHR3FwoXfXPWcEKLumzdvHocOHcLHx0fpKKIeOJ2Yw6GLmWjUKh7uKO8pY/G0t+Tp7v58sTOyfDaOg1xwUIEx68MjRw5x8uQJPvzwc7p3N1wg2K5dCPfe25/fflvPhAmTql0fdu/eq0p13ZIlC6/qUIWq1azX8vfffxIbG8N33/1M48aBAAQFBfPAA0P4+++tDBs2HL1ez9y5H9O3bz/ee+89UlNz6NChM2VlOlav/pHCwkIsLS1vmF0IIYSoCUdjs9gfbag3n+hWtZVdxK2z0Gp4oW8g0zac5btDsQxu7Ym3Q/3//X+zNeXluuqy0tJSPvvsQ4KDmzB58isAuLt74O5ecVvNuXM/Jj+/gIULP8DComL7pqam8NlnH131OQDffLOYgIDGfPLJF3h5OZOamkO7diGMHDmU33/fwJAh97Fu3RoKCgr54INPyy90dHR05PnnJ3D48EG6du1+za9l164dZGVlsXjxsvJVKm1t7Xjllec5efJ4+Wx1w+qTC9mw4dfy4wshTIMMgosGTa/Xs+5kAgBD28gskpvV2c+JQa082Hg6iXe3nGfFox0w0yizrPyIEYMZOHAweXm5/PHHbxQXl9CrVx+mTJnBmjU/88svP5Ofn0enTl149dWZODg4ln/uhg1r+emnlcTFxeDk5My99w7h8cefrHBV34YNa1m79heioyPR6/X4+vrz6KNj6d//TsCwDOP777/DggVfM3fux4SFheLo6MTw4SMZPfrxSnPfaKmgVavW4+V19bKql4u/EyeOodH8m7N79143bKsvvviEuLhYPv98IUuWLLrq+QMH9pGfn8f994/6T9YXyj/Oy8vj7rsHlC8pftnlWUBxcbE0b96SsLBQAJo3b05x8bXzFF96wsbm34tRLv//ZGVllj8WFnaebt0qXi16I9bWNgwZch/Nm7e8Kufhw4eu+Tlpaal89dVChg0bTqtWrat1PiGE6du7dy9btmzhrrvuuvGLhaiC5Zf2Ar+nuRue9vW/U0xJD3f04bczSUSk5TN/VyQz7mx63dfXZn2o0+nx86u/9WGrVm1YuPDrCkufa7VaVCoVJSWGWq669WFw8PX//wBOnTrB6tU/89Zbs5k27eUKz1WlZr2W227rT0BAYIWOWjMzwwUVJSUlAISFhRIfH8fMmW9W+NyRIx9i5MiHbphbCCGEqEmXZ4EPbe2Jj4PMAq9N/Zq4Yrv1XQp8OvHCG5vIC9tXKzXlY4+NZdSo+4G6VVNead26Xzh//hyLFn1TXmv9V1jYeVav/okJE57D2/vqC4rnzHmbLl26Ym5uwdGjhys8Fx0dyfDhoyoc28nJGX//xuzZs5MhQ+5jxIgH6d37tgoD1P/WfZV0VF7x3JXLqjs6OgKQnZ1V/tjy5d9y8OA+3n33A3bt2nFVRiGEcow+CB4TE4Ovr6+xTyPETTkck0VMZiHWZhrubCbLlNyKybcFsjsinYi0fJYfjOFJBfcl+umn7+nUqQtvvjmbc+fO8OWX8wkNPYubmzuvvjqDixejWbBgLs7Orrz88lQAvvvuWxYvXsDw4aN4/vmXCAsL5euvF5OcnMT06f8DDMssfv75RzzxxDgmTZqMXl/MwoWLeOut12jVqg2enoYLKXQ6Hf/73zRGjRrNuHET2bhxHQsXfkFwcNNKryy81lJBV3Jxufb+NH363I6Pz1fMnDmVLl26UlZWRklJSaVF5ZWefvoZGjcOqnQvzQsXzmNra0tmZgZvv/06Z86cws7OnmHDhjNmzFOo1Wrs7Ox48cVXr/rcHTu2AdC4sWEpy7Aww7Fmz57NX3/9TWFhAR06dOL551/Czy8AMMwQCgwMYsGCuUyb9jqWlpbMnfsxVlbW9O7dFzAsmR4bG0NcXCyPP/4Q0dGRuLi4Mnz4KB566JFKv5bOnbvSuXPXCo+VlpayZ8+uay63CbBkyZdoNGqefnriDdtSCFG7brW+TEtLY+bMmSxYsIClS5fWXDDRYEWn57MtLBWARzvL3z7GptWomXZHE8b9dJxfTyQyuJUnbW6wElFt1IfPPjuZ7Owsvv9+Wb2tD62srGjTph1gqKXi4+P45pvF6PV6Bg4cAlDt+nDu3I/ZvXvnNetDgKKiQt55500ee2wsQUFNrjpuVWrWa7Gzs6N167aAYdA7KiqS+fM/w9HRkX797ijPCGBhYcH48ePZs2cv5ubm3H33ACZOnIyFhcUN21QIUfukL1LUR4cuZnI4JgszjYqxXeX9XdtUKhX2llqKL2wnxr0JkybOQJd+0eg15axZr9G7dzfMzQ0zr+tKTXlZfn4+X3+9mLvvHkjLlpVPMFmw4HO8vX2ueZHhhg1rCQ09x3ff/cz8+Z9d9byjoxOJifEVHistLSUpKbF8EPvK1R+LiooICwvlk0/ep1EjPzp37lZprn797mTFimV8+ukHPP/8yxQXFzF//ue4uLjSsWOX8tcNGzacZ5+djFarZdeuHddtEyFE7TL6IPiAAQMICQlhxIgR3H333bJUmDApay/NAr+7hRvW5hqF09RtjlZmvHR7EK//fo6v912kf1M3ApytFclibW3DrFnvodVq6dy5K5s2bSQ1NZXFi5dha2tL9+69OHz4ECdPHgcgNzeXZcu+ZujQ+3nhBcOyPF26dMPBwYE5c95h1KjRBAYGER8fx4MPPsKYMU+hUoGrqx22ts488cQjnDx5DE/PewDDCgNjxz7FoEHDAGjTph3bt29jz56dlRak/10qqOpfqzWLFn3L119/ydatf5Cbm8vAgf0ZMmQYEyY8d93CNDDw+vu3Z2RkUFZWxpQpkxk58iGefHI8Bw7sY+nSJRQWFjJx4vPX/LyTJ4/z/ffL6N27b/kAc1jYeXJzc3FycuK99z4iMTGBb7/9iokTn2bp0pW4urphYWHBq6/OZOrUFxk1ahgA5ubmvP/+J+VLDl24EIZOpyM2NoannpqAnZ09u3ZtZ+HCueTkZFe63OW1zJv3KbGxMcye/dE1vvZ0Nm/+jQcffOS6e40LIZRxK/WlTqdjypQpjB07lubNm990hkrGh4zi8rlq85wNza228feHY9EDvQOdCXaT7XX+yxjv4Q6+DuUrEc35K4zlj3RAq758oqvPbW1tw1tvGerDLl3+rQ+/+spQH/bo0evSUt/HUakq1ocvvmioD7t2/bc+fPBBQ32YkBDHQw89wtixT5Wf09vbhyeeeIRTp47h5VWxPhw8eBgAbdv+Wx9263bt+jAwsOr14ZVtbGNjzZdfGurDP/+sWB8+88z168OgoH/rwxv9v3388Rw2bFgLwNixTxMUFFTpay/Xh3369CUoyFAfXrhgqA8dHQ31YVJSAt9882996ObmBsDChV9gbW3Fo4+OISUl+ap8mZmV16xFRZXXrFeaMmUyhw4dQK1WM2XKdFxdDZ3BWVkZAMyYMYUhQwYzfPiDnD17miVLFpORkcHbb793w2OLG5Pfc8andBvX9nmlL1LUN3q9nkW7owC4r42XrDqkEDONGisra7I6P8aGVDtWPDrGKH2Ol3l5+fDkk49w5MgRunW7Dag7fY6Xbdy4jtzcHB59dGylrwkLO8/Bg/uZOvW1q/bYTkxM4IsvPmXGjP+Vz8D+r4EDB7N8+TesWLGUxx4bTWJiGosXLyAvLw8rq6tXTHj88QeJjY3B3NyCd955/7oXNTo7u/Dyy1N5882Z/P33nwDY2dkzd+6iClsH+fsHXKcVhBBKMvog+Pbt21m3bh1ff/01b7/9NgMGDOD+++8nJCTE2KcW4royC0r4+9KMnWFtvBROUz/c3dyN384ksS8qg/f+DGPhyLaoFfgru0WLVhWKJmdnF2xsbCoUJw4ODkREXAAMyysWFhbSs2cfSktLy1/Ts2cfAA4d2k9gYBDPPfciYChgY2MvkpmZzD//GK7uu/LzAFq1alv+sbm5OY6OjhQUFFSauaysDP21Nsq+5L9F4JWcnJx45ZVp9Ot3B0uXLsHDw5OffloJqMoz34zS0hIKCgp48snxPPjgI4BhH6CcnGxWrfqBMWOerLAcEMDx40eZOvVFvL0bMX366+WPP/PMJMaOfZJ+/XqTmpqDXh9C69ZteeSRB/j55x+YOPF5jhw5xCuvPE+bNu0YNWo0arWatWtXM2PGFD76aC7t2oXg7x/ARx/NpUWLluXLSnXq1IWioiJ+/HEFo0c/fs39K6+k1+uZP/9zVq/+iUceGUOfPn2ves369b+i0+l44AFZ5lIIU3Qr9eWXX36Jubk5jz766C1lcHGp/QtklDhnQ3MzbZycXchvpw0Dc8/f1QxXV/l/qkxNv4dn3deGnRHpnE/O4/fzaTzRq7HhCat/Z/66utqh0ahp06Y1np5O5Y97enrg4GBPQMC/fwe4u7sSFRWBq6sdZ84cpbCwkIED78bR8d/OsyFDBjJnzjucOXOMLl3aM2uWYfZOTk4OUVFRREVFsXfvXgAsLbW4utphZ2foqO7du3uF94eLizN6fWml75mbqQ8vt7Grqx1z5rzLffcNYf78+Xh7e/PTTyuxtrZg2rRplR7zSmZm2vJjXctjj41m5Mjh7Nu3j8WLF5OXl8Xbb7991esOHTrElCkv4Ofnx4cfvo+jo+F406dPJT8/n44dO5a/tk+fHgwYMICNG39hypQp7N+/n/Xrf2XVqlV4ejpRWmqYxWRnZ1meS6Mx7As+efJkxo41dLDeffftlJQU8PPPP/DSS5NvWB+++OJkSktL2bp1K++//y7FxflMmDABMzP1pePdxZQpUwC4667bsbIy5+OPP2bKlJeqdbGCuD75PWd8DaWNpS9S1Df7ozM4Hp+NhVbNGJkFrqiQtm04am1BeGo+a44nGK3P8eLFixw+fAD4d5uWy+pSn+OaNavo2bMPfn6Vrxi6Zs3PODk5c88991Z4XK/X8957b9G9ew/69u1f6ec/8cQ4ysrK+OqrRSxcOA+tVsvgwffRu/dtREVFXPX6yzP0f/99I9OmvcTMmW9y990Dr3nsLVv+4O23X6dfvzu4996hFBUVsnLld7z00iTmzVssg99C1AFGHwR3cXHhiSee4IknnuDMmTP89ttvTJs2DbVazfDhw7n//vtxdnY2dgwhrvL7mSRKyvQ0dbOhhcf1O0VE1ahUKqbf0YRRSw9xJDaL9ScTGda29i8wuHJP6cssLCq/SvbyHi5Tpky+5vOpqSmAYf/CDz6YzZEjB9FqtQQGBhIQYOj0+m8x+d8rzdVq9XULzsmTn7mp/Xn+y8PDk5kz30SrNWPt2tU8++zkSpeAvBFra8NM/h49eld4vGvXHqxbt4bIyMgKe2Vv3bqZ2bNn4evrzyeffFFhn50mTZpddfW/j08j/P0bc+FCGGBYHsrV1Y0PP/wcc3NzwHB17PjxY5k79xO+/vo77OzsrrkfePfuvdiwYS1RUZG0bt2m0q+pqKiI2bPf5K+//uThhx9jwoRJ13zdP//8RZcu3cqXShJCmJZbqS/XrVtHcnIynTp1AgzbLABs3bqVQ4cOVTlDWloO1/mxXqNUKkOndW2es6G5lTaevyOS4jIdbb3taWxrRmpqjnFC1mHGfA8/2yuA2X+G8fGWULo3ssPN1gLy8ri8qGNqag5lZTq0WosK/zclJaVotRX/vwoLSygr05GamkNMTCIA48aNu+Z5o6NjSU3NITY2lg8/nM3hw4b60N8/oHw2dXZ2AampOeTkGH7OFBSUVTifXg8FBcWVvmcmTRrH0aOV14erV/9bH1bWxllZ+Tg7u/HKKzMpK4OVK1fyxBPPVKk+LCkxdNRWls/b23DRQWBgC/Lyili27Gseeujx8v0jwVAfvvvuLPz8DPVhaamm/Hhubo2uOr6VlSP+/o05efI0Fy8mMXXqNEaPfhxHRw8SEzPKX5udnU9iYgZarRa12jALqV27zhWO1b59Z3766ScOHz5ZoWa9loCAZgAEB7ciJSWNBQsWMGzYKC53mXToYNhW53L7tm7dAYADB45ib+92o6YUNyC/54xP6Ta+fP7aIn2Roj7R6/V8uScagOHtvAy1jlCMo70d43sG8MFfF/hyTxRNdHqj9Dn6+QUQHGyoKetqn2NY2HliYy8yfnzl2wyWlZWxc+c/9Ot351Uzy9es+Znw8DCWLfux/AKCy19naWkparUatVqNVqvlmWee48knx1FQkIlGY42trR2TJo3Dzu7qLZMuL3/euXM3UlKS+fbbryodBP/mm8W0adOOWbPeq/D5o0eP4KuvFvDOOx9U+rUJIUyD0QfBLzPsFxZPfHw8aWlp+Pn5cfz4cRYtWsTMmTO57777aiuKEOj1etaeNHRsDWvrVemed6L6vB0smdAzgM+2RzB3RyS9glxwtTFXOtZ12doa/hj/3//ewc/P76rnnZycLy2fOxkzMzMWL15K06bN8PR04uDB42zevOmWM7z66gzy8/Mrfd7V9dqdaytWLOX06VO8917FJb2bNGnKhg2/kpOTXT5juroaNTK0xX+vOL1ceF65XNDKlctZuPAL2rULYc6cTypcAVtaWsqWLZvw9w+gb9+KA9hFRYXlyxklJibQvHnL8gFwMBTy7dqFsGbNKgDOnTvLuXOnGTp0eIXv26IiQ+dyZUsjgeFq2ilTnufUqZNMmvRC+ez2/0pOTiIs7DwjRz5c6bGEEKbhZurLP/74o8L9yzMi58yZU61z6/XUeieyEudsaKrbxrlFpaw+Zth/7vEuvvL/cwPGeA8PbePJ+lOJnErI4ZNtEcwe1AKuOIf+Bh9fK49eX7X6sKysYn3YpEkztFotkZER5fXhf89Z2fmuZcqU69eHLi5uV32uXg/fffdvfXjl1xkc3JT1638lO7tq9eG12igiIpyzZ09z771DKry2efOW6PV6kpKScXMzDIJfqz68fKzL9aGfX8BVFzAWFRXi4ODI2bNnSEiI59tvv+Lbb7+q8Jr33nub9957m127DpXXrMXFJRWyXh7ENze3uGYbnzlzioSEBPr3v/Oqr+WPP34nMzOTRo18Lx27uLwt9PqK9bB839cc+T1nfA2tjaUvUtQHuyPTOZWQg6VWzWOdZRa4KbivrRdrjidwITWP+KxC/JyuXnL7spvpc7xWTXkrlOpz3LNnJ5aWlvTo0avS15w+fZLMzEz69bvzque2bfuLzMxMhg6956rn+vbtxtixT/Pkk+M5evQwxcXFdOvWHR+fYFJTcygpKeXChTDuvXcwAIcPH6S4uIju3StmadasBWfOnKo0X1JSwlUrSFpaWtKiRUsiI6+eZS6EMD1GHwQ/duwY69atY9OmTahUKgYPHsyKFSvK92D8888/pfAUte5EfDaRaflYaNUMaOGudJx6Z1QHHzafS+ZsUi4f/x3Oe4NbKB3pulq1ao2ZmRmpqcncdde/hdWFC2F88cWnjB37FObm5ly8GM3zz79Mixatymc179u3BzDsMXsr/PwCburzcnJy2LVrOxcvRlV4/MSJYzg6Ot30ADhA167dUalUbN26ucL+kLt3b8fBwYGAAMPsn7Vrf2HBgrn063cnr7/+1lVXbmq1Wr7++ks8Pb0qDIKHhp4jLi6Whx9+DDDsn3P27GmKi4vLB8L1ej2nT5/A29twReqFC+f56KM5+Pr607Fj5/Jj/f33n3h4eFZ65WppaSlTp77I2bNnmDXrPfr1u6PSr/vs2dMAtG3bvqpNJYSoZVJfClPxy/EE8orLaOxiTa9AmVGmBLVKxbT+TXjs+yP8GZrC0NaedHW79Qswb6Y+vKw+14dnzpxizpy38fPzp02bduWP79+/F3Nz8/IlIatTH86f/+8A95X1YfPmLViyZHmFz0tNTWXatJcYO/ZpevY0rFZU1Zr1v/bs2cV3331Lq1Zt8PT0rPC1uLi44OTkTLt2HbCysmLr1s0MG/bvEp27du1Ao9FUWI5UCGE6pFYU9YVer+fL3YZZ4CNDvHEx8UkmDYVWreKVfkFM+PkEqXnFuNlW/v/SkGvKM2dO0bRp8+vOlD9z5hQajabC133ZtQbvv/nmK0JDz/L++5+UD95v27aVXbt2sGrVuvLX/fbbenJzc+jT53YAfv99A/v27WbVqvXlWzuWlpZy+PBBgoKaVJrPzy+AkyePodfryyfjFBUVERoair9/5Uu8CyFMh9EHwUePHk2vXr2YNWsW/fr1u+qP3xYtWtCvXz9jxxCigsuzwO9o5oatRa0tiNBgaNUqZt7ZlMe/P8LW8ykMCHenT5CL0rEq5eDgyMMPP8aSJYvIy8sjJKQjKSnJLFmyCJVKRXBwU2xtbfHy8mbNmp9xd3fH3t6eEycOs2zZMgAKCyvfe8eY7rtvBGvXrubVV1+if/87SU1N4fPPP2br1s28+OKUWzq2j08jhg8fycqVy9FqtbRrF8KePTvZvHkTL744Ba1WS1paKl988Qmenl4MHz6K0NBzVx3DycmJsWOfZs6ct5k2bRp9+vQnISGBr79eRFBQMAMGDAJgzJinmDjxKV555XlGjnwIjUbDb7+t59Spk7z9tmGGZv/+d/HDD9/x9tv/4+mnn8HFxZU//9zErl07mDXrPTQaDWCYzZ2cnEzTps0wNzdnzZpVHD9+lKFD78fd3YNTp05WyHnlDKTw8AuYm5vj49PoltpPCGE8NVlfVncGuBCXFZXq+OFIHACPdW6EWlYWUkwzD1tGhvjw45E45vwVxo8jmt/yMW+mPrSzs2f//r2sWvUDUD/rw/797+LHH1fw5pszeeqpCbi4uLJz53bWrl3NuHETsbOzq3Z9+O67b3LXXfdcVR9qtVqaN29Z4XMTEgwrL3h5eZc/V5WaFa6uD4cNG8H69b/y6quTGTPmaaysrPjjj43s3bub//3vHdRqNdbW1jz55HjmzfuMWbNm0bVrL06ePMH33y/jgQcekq1zhDBR0hcp6osd4WmcS87F2kzDo51kFrgp6ejrSP+mruzYCTGZhRUGSa9UEzXl9fb7NqZbrSkjIsLp3LnrDV/j7e1TYbXJy641eO/g4ICZmVmFGnHYsOFs2LCWd955g9GjH+Lw4eMsXPgF/fvfRbt2IQCMHv0Y27f/zSuvTL40GUfPqlU/ERUVwaefzi8/VmRkBCUlxTRtavh74umnJzB9+iu8/vo0Bg0aSklJMT/9tJLU1GTeeOPtG7aBEEJ5Rh/9++677+jQocNVj+/YsYM+ffrQqFEj6XwUtSq3qJStoYb9Vu5r43mDV4ub1czDloc6NmLFoVje+zOM9j722Fua3fgTFXJ5QHXNmlWsXLkcOzt7OnXqwrhxz5Yv7T179kd8/vlHvPvuLMzNzWjSpAnvv/8Jn3/+McePH2PEiAdrPbenpxeff76QBQvmsnLlckpLS4mOjmLixMkMHz7qlo///PMv4+7uwbp1a1ixYileXt5MnfoagwcPA2Dv3t0UFRWRmJjAs88+ddXnz5jxBgMHDmbQoKFYWVny888r2bRpE5aWVvTp05cJEyaVd0w2b96SL75YzJIlC5k16zW0WjOCg5swd+4iQkI6AmBlZcXnny9i8eL5LFmyiKysTBo3DuLddz+ssDzRhg1r+fbbr8r3Ndq+/W8A1q1bw7p1a67KuWvXv/sAp6enly9XJYQwTVJfClPw+5kk0vKKcbc15+7msrKQ0sb38Ofv8ynEZhby9b4Y3qiBY95MfRgQEMicOZ8wd279rA8NtdhCFi9ewOLFC8jKysTfP4AZM94ov7CxOvWhpaUlK1d+x/Tpr1yzPqyqG9WscHV96OrqyoIFS1i0aB6ffvoBeXl5NGvWjA8//KzCUpkPPvgI9vb2rFr1A6tWrcLV1Y0nnxzP6NGP31wjCiGMTmpFUR/ortgLfFQHbxytTbdPraGafFsgu74x9DX/dT6VO5pde1nxW60pDx06xIABw2rxKzO41ZoyPT3tmntyV/c1NxIYGMwHH3zKokXzmTBhAs7OLjz22BM89tgTFV4zf/4SvvxyPrNnz6KkpJjWrdsyb95XFSbGfPzxHBITE1i9egMAvXrdxocffs6yZUuYMWMK1tbWtGjRksWLl9GkSdNbyi2EqB0qvd64uwF16NCBI0eOVHgsNzeX3r17c/ToUWOeuoLU1Jw6ue+RSgWurnZ1Nr8SbtRmvxyPZ87WCzR2tuanMR1lP3CM9z4rLClj9HdHuJhRwMCW7swacOuzcq6Sl4dbYy8AUiITwMam5s9xDab4vXnkyCE2bdrIzJlvKh3lmkyxzUydtFn1SZtV37Xa7PJjpsoU6svafI/J+9r4qtvGZTo9I5ce4mJGAS/2DeThjrJ6yPXU1nt4Z3gaL609jU1JIac/GQHUbn2opMra2NTrw7pCfg4bl7Sv8SndxrVdW9ZErZiWlsbrr7/OgQMH0Gg0DBkyhKlTp17zIp0DBw7w4YcfcuHCBezt7Xn44YcZP358tXOb8veA0u+huqIm2+nv8ylM3XAWG3MN657qgoNV/RoEN/n3VBX7GxfvieKrvRfxtLNg1dhOWJppajSGqbRTXagpTaWtTJ20U9VJW1WNEu1UndrSKDPBo6OjuffeeykrK0Ov19OixdX7AV/rikwhasPaE4al0Ie19ZQBcCOzNNPw5j3NeOrHY/x+Jpl+TVy5LdhV6Vj1lpeXN71791U6hhBCGIXUl8KUbL+QysWMAuwttQxr46V0HHFJ7yAX7m7uxo4TMUpHMRlSHwohGoqarhVfeOEFPDw82LlzJ6mpqTzzzDMsXbqUp56quMJFeHg448aN44033mDYsGGEhoby+OOP4+/vzz333FPJ0YW4vitngT/YwafeDYDXJ4919mX9qSQSc4pYfjCGcT0ClI5kFFJTCiHqKqMMgvv7+7Nq1Sqys7MZN24cX331VYXnLSwsaNpUlosQte9cUg7nknMx06gY2MJD6TgNQhtvex7p1IjlB2OZ/WcY7XwccJTi3Si8vLzx8vJWOoYQQhiF1JfCVOj1epYeMAyyjmjvjbV5zc72ELfmlduDORGWqHQMkyH1oRCioajJWjE6OpoDBw6wY8cOrKys8PX1ZeLEiXz44YdXDYKvXLmS/v37c9999wHQvHlzfvzxx/IljoW4GVtDU4hIy8fWQsPDHX2UjiOuw9JMw+TbApmx8SzLD8YyuLUnXvaWSseqcVJTCiHqKqPtCX75isuNGzfi6+trrNMIUS1rTxo6xG4PdpW9dGrRuB4B7AxPJzI9n/e3hjF7UAuZhS+EEKLapL4UpuBQTCZnk3Kx0KoZFSIdQabG0dqMybc1htmG+xFp+QQ2gOXQhRBC1FytGBYWhqOjIx4e/06eCAoKIj4+nuzsbOzt/92/9sSJE/To0YOXXnqJ3bt34+zszJgxYxg16sb75f6XKXeTXM5myhlNQU20U5lOz1d7DbPAR3dsVG9ngZv8e+qKXCpVxfv/dWczV1Yfc+BIbBZzt0cwZ0jLmoth6u1kQqStqkbaqeqkrapGiXaqzrmMNgj+5ptv8uabb7JgwYJKX/Pee+8Z6/RCXKWgpIw/ziYDhqXQRe2x0Kp5Y0Aznlx5lK3nU+l9NpmBLWUmvhBCiOqR+lKYguUHYgEY0toTZ2tzhdOIa+nX5N/td+ZsDWPBGFe0aum5EEKI+q6masW8vDysrKwqPHb5fn5+foVB8KysLJYvX86nn37KBx98wNGjRxk/fjwODg7VXg7dxaX29k2/WXUhoym4lXZadyyOqPQCHKzMePauZthb1s9B8MtM9j1lpS7/0NXVrtI9wS975/62DPpiJ1vPpxKWVUz3IJcajWOy7WSCpK2qRtqp6qStqsZU28log+B62SlemJg/Q1PIKy6jkaMlHX0dlY7T4LTytOPpHv4s2h3NB39doL2PA94O9W95ICGEEMYj9aVQ2tmkHPZFZ6BRwehOsjSlqbpyxaFzSbn8cDiWRzvL6hFCCFHf1VStaG1tTUFBQYXHLt+3+c9AmLm5Of3796dv374AdO7cmaFDh7Jp06ZqD4KnpeVgquWuSmXo3DbljKbgVtupVKfn482hAIzu6ENxbiGpuYU1nNI0mPx7Ki+Py5dVpqbmQIHuui93N1dxf1svVh9P4H9rT/Ldox1q5CJMk28nEyJtVTXSTlUnbVU1SrTT5XNWhdEGwWfNmgXIbBxhOtaeMCyFPqS1J2pZw0IRj3fxY09kBifis3lj0zkWjWyHRmblCCGEqCKpL4XSlu437AV+Z3N3fBysbvBqYSq+3BNN32BXfJ3k/0wIIeqzmqoVmzRpQmZmJqmpqbi6GobBwsPD8fT0xM6uYodrUFAQxcXFFR4rKyu7qQF5vR6T72SvCxlNwc220x9nkrmYUYCDpZaRId4Noq1N9j11RSa9vuL9yozvGcCW0BTCUvJYfTSeUR1q7qJZk20nEyRtVTXSTlUnbVU1ptpO6hu/5NakpqYye7ZhQ7ZDhw7Ro0cPBg0aRHh4uLFPLUS58NQ8TiZko1HB4FayDLdStGoVbw1sho25hmNx2Sw7EKN0JCGEEHWQ1JdCCVFp+WwLSwXg8S4yq7iu6OTrQFGpjne2nEdnin+RCyGEqHG3WisGBATQsWNHZs+eTW5uLjExMSxYsIARI0Zc9doHH3yQv/76i3Xr1qHX6zl48CAbNmxg6NChNfo1ifqvtEzHkn2GvcAf6+yLjbnR5q4JI3G0MuOZngEALNwdRWpukbKBhBBCGH8QfNasWYSHh6PX63n33XcZOHAgt99+O2+99ZaxTy1EubUnDbPAewe54GproXCahs3HwYpX+gUBsHhPFMfjshROJIQQoq6R+lIoYdnBGPTAbUEuBLtef09AYTqm9A/CUqvmSGwWv55IUDqOEEKIWlATteLcuXMpLS2lf//+jBw5kt69ezNx4kQAQkJCWL9+PQDdu3dnwYIFLF++nI4dOzJ9+nSmTp1K//79jfK1ifrr9zPJxGYW4mRlxgMh3krHETfpvrZetPCwJa+4jM+2RygdRwghGjyjX1J28uRJfv/9d1JSUjh37hzffPMNdnZ2dO3a1dinFgKAolIdm84kATCsjZfCaQTAvS092BeVweZzKcz87RzfP9oBByszpWMJIYSoI6S+FLUtMbuQTWeTARjTVWaB1yVe9lZM7N2YT7aFM3d7JN0CnGQpeyGEqOdqolZ0dXVl7ty513zu6NGjFe7fdttt3HbbbbeUWTRsJWU6vr48C7yLL1ZmGoUTiZulUauYfmcTxnx/lM3nUhjc2pOu/k5KxxJCiAbL6DPBCwoKsLS0ZO/evTRt2hQnJycKCwvRamVJF1E7toWlklVYioedBd0CpOgwBSqVoSD0dbQkKaeId7acv6n9soQQQjRMUl+K2rbiUCxlOj2d/Bxp7WWvdBxRTSPbe9Pex578kjJm/XGeMp3UnUIIUZ9JrSjqmg2nk4jPLsLZ2owR7WQCT13XwsOOEe0Ms/k/+OsCxaU6hRMJIUTDZfRB8LZt2/Lmm2+yePFi7rzzTlJTU5kxYwZdunQx9qmFAGDtScOyh0Nae6BRqxROIy6zMdcye1ALzDQq/rmQxk9H45WOJIQQoo6Q+lLUpvT84vKtdcbIXuB1kkat4o17mmFlpuZobBY/HIlTOpIQQggjklpR1CXFpTq+2XcRgDFd/bCUWeD1wjO9AnCxMediRgHLD8YoHUcIIRosow+Cv/vuuxQXF9OpUyfGjx9PXFwcxcXFvPHGG8Y+tRBEpedzOCYLFTCktafSccR/NPewY3KfQAA+3x7ByfhshRMJIYSoC6S+FLXpxyNxFJXqaOlpRxc/R6XjiJvUyNGKF/sGAbBgVyQXUvMUTiSEEMJYpFYUdcm6U4kk5RThZmvOfW2k77K+sLXQ8uJthj7Pb/dfJDazQOFEQgjRMBl9HSB3d3fmzJlTfr9du3YsWrTI2KcVAoA1xw2zwHsGOuNpb6lwGnEtI0O8ORaXxdbzqUzbcIbvHu2As7W50rGEEEKYMKkvRW3JLSpl1THDajVjuviiUsmqQnXZsDae7AhPY1dEOm/8fo6lo0Mw0xj9unAhhBC1TGpFUVcUlpSxdP+lWeBdZBZ4fXNXczfWnUrk4MVMPvjrAp/f31r+nhBCiFpm9EHwvLw8Vq5cSVRUFDpdxf0v3nvvPWOfXjRghSVlbDydBMCI9t4KpxGVUalUvHZ3Uy6k5hGVXsDMjWf5YkRbtLJ0vRBCiEpIfSlqy+pj8eQWldHY2Zrbgl2UjiNukUqlYuZdTXlw6SHOp+Tx5Z5oJvVurHQsIYQQNUxqRVFXrD6eQHJuMe625gyTWeD1jkqlYmr/YB5afpi9URlsC0ulX1M3pWMJIUSDYvTL3qdPn87y5cspKioy9qmEqGDLuRRyikrxdrCke4CT0nHEddiYa/lgSCuszNQcisli4a5IpSMJIYQwYVJfitpQWFJWvnf0mK6+qGXWRr3gamPOjLuaArD8QAwHL2YonEgIIURNk1pR1AW5RaXls8DH9wjAXCur09RH/s7WPNbZF4CPt4WTV1yqcCIhhGhYjD4TfP/+/axevRpfX19jn0qIClZfWgr9/rZe0mlZBzR2seb1u5sxY+NZlh+MpambLXe3cFc6lhBCCBMk9aWoDetPJZGeX4KXvQV3NZMZG/VJvyauDGvjydqTibyxKZSVj3bE0dpM6VhCCCFqiNSKoi747lAsWYWlBDhbMbCVh9JxhBGN6eLLH2eTicsqZMHOKKb0D1Y6khBCNBhGv8TMwsICDw/5RS5q14nYTM4k5mCmUTGktbz/6oo7m7nxWOdGALy95Txnk3IUTiSEEMIUSX0pjK20TMeKQzEAPNrZF63sG13vvHR7EAHOVqTkFvP2lvPo9XqlIwkhhKghUisKU5eWV8wPh2MBeKZXY9kSsJ6zNNMw/c4mAPx8LJ5jsVkKJxJCiIbD6L05Dz/8MHPmzCE9Pd3YpxKi3Ip90QD0b+qGk7W5wmlEdUzs1ZiejZ0pKtXxytrTpOYVKx1JCCGEiZH6Uhjb5nMpJGQX4WxtxmCZmVMvWZlpeOfeFphpVOwIT+OXS6tICSGEqPukVhSm7tv9Fyko0dHS047bg12UjiNqQVd/p/KJWm9vOU9hSZnCiYQQomEw+nLoP//8M/Hx8fzwww9XPXf27Fljn140QNmFJaw/Hg/AiHZeCqcR1aVRq3jn3uaM+f4o0RkFvLruNAtHtsNC9kYSQghxidSXwpjKdHqWHTDMAn+4YyMszTQKJxLG0szdlkm9G/PpPxF8tj2Ctt72NHW3VTqWEEKIWyS1ojBlcVkF5RffTeodgEq2cGwwXrgtiD2RGVzMKOCrvRd5rk9jpSMJIUS9Z/RB8Dlz5hj7FEJU8NvpZApLdAS72tDW217pOOIm2Fpo+XhYK8auPMbJhBze3BTKu4Oay97uQgghAKkvhXH9dT6FyPR87Cy0DJcLKuu9Bzv4cCA6k92R6UzfeJZlo0OwtTD6n8lCCCGMSGpFYcoW74mmVKenq78jnf2clI4japGdpZZpdwTzyrozfH8ohjuaudLCw07pWEIIUa8Z/a/7Ll26AJCVlUVMTAwtW7aktLQUc3NZolrUPL1ez+rLs8Dbe8nVlHWYv7M1Hw5tyaTVJ9l6PgWfXZZM6i1XSAohhJD6UhiPTq9nyb6LADzU0UcGQxsAtUrFmwOa8ch3R7iYUcC7W84ze1AL+TtCCCHqMKkVham6kJLHpjPJgGE7QNHw3Bbsyp3N3PgzNIW3N59n+egQtBpZ/VIIIYzF6D9h8/LyePnll+natSuPPPIIUVFR3HnnnURERBj71KIBOhSTSXR6ATbmGga0dFc6jrhFHX0dee2upgAsOxDDrydkr0YhhBBSXwrj+Ss0lcg0wyzwB0N8lI4jaomjlRnvDWqBRq1i6/lUVh2TmlMIIeoyqRWFqVq4Owo9cEdTV1p6ygzghuqVfkE4WGoJS8lj2cEYpeMIIUS9ZvRB8A8++ID8/Hw2bdqEmZkZvr6+3H777bz77rvGPrVogC7vqXNfBx9szGXmTn1wbysPxnX3B+D9rWHsCE9TOJEQQgilSX0pjEGn0/PV3mjAMAvczlJqyYakjbc9z1/al/HTf8I5nZijcCIhhBA3S2pFYYqOx2WxIzwNjQrG9wxQOo5QkLO1OS/3CwLg630XiUjLUziREELUX0YfBN+2bRtz5syhcePGqFQqzMzMmDZtGidPnjT2qUUDk5pbxD8XDAOkj3TzVziNqElPdfdjUCsPyvQwY+NZjsVmKR1JCCGEgqS+FMaw6VQiEWn52FpoZBZ4A/VQBx/6BrtQqtMzdf0Z0vOLlY4khBDiJkitKEyNXq9n/q4oAAa39iTA2VrZQEJx9zR3p1egMyVlet7efJ4ynV7pSEIIUS8ZfRBcp9OV77mj1+uvekyImrL2ZCJlOj3tfexp7mmvdBxRg1QqFTPvakqvQGeKSnW8tPY0F1LkKkkhhGiopL4UNU2n1/P5X+cBeLhDI5kF3kCpVCreuKcZfk5WJOUUMX3DWUrLdErHEkIIUU1SKwpTsyM8jaOxWVho1TzVXSbuCEPdOe2OJtiYaziVkMOKQ7FKRxJCiHrJ6IPg3bp146233qKgoACVSgXAZ599RpcuXYx9atGAlOr05ftFj2jvrXAaYQxatYr3BrWgnbc9OUWlPPfLSWIyCpSOJYQQQgFSX4qa9vf5VM4n5RpmgXeQWeANma2Flo+GtsLGXMOR2Cw+2y77xwohRF0jtaIwJSVlOj6/VE+M7uiDh52FwomEqfCws+Cl2w3Loi/aHcW5JNmORwghaprRB8GnT59OREQEnTt3Jicnh5CQEA4ePMjUqVONfWrRgOy4kEpybjFOVmb0a+KqdBxhJJZmGj65rxVBrtak5hUz4efjxGfJQLgQQjQ0Ul+KmlSm07NodxRgWA5bZoGLxi7WvHlPMwB+OhrPb6eTFE4khBCiOqRWFKbk56PxxGQW4mJjzuNd/JSOI0zM4FYe3N7ElVKdntd+O0dhSZnSkYQQol4xeg+PpaUlEydO5OTJkwQFBeHm5kZISAgajcbYpxYNyMrDcQDc384Lc63Rr+0QCrK3NGP+iLZM+Pk4UekFTF5zin+UDiWEEKJWSX0patKms0lEpRfgaG3G6E6NlI4jTETfJq482c2Pr/ddZPaf5/FzsqKNt2y5JIQQdYHUisJUZOaXsGRfNAATewZgbS7vQVGRSqVixp1NOJWQTXRGAZ9vj2DqHU2UjiWEEPWGUQfBlyxZwrx58ygqKirfg8fGxoaXXnqJ0aNHG/PUogE5nZjD8fhstGoVI9p5KR1H1AIXG3MWPtCW8T+fICkpQ+k4QgghapHUl6ImFZfqWLzH0DH5zG1B2FpoufS2EoJxPfwJS8ljR3gar6w7zdLRIXjZWyodSwghxHXUVK2YlpbG66+/zoEDB9BoNAwZMoSpU6ei1VbelXr+/HkeeOABFi9eTNeuXW/5axF135d7osgtKqOpmw33tvJQOo4wUY5WZrxxdzMm/XKS1ccT6BnoTK9AF6VjCSFEvWC0KbOrVq1i0aJFzJw5kx07dnDq1Cm2b9/OK6+8wueff87mzZuNdWrRwPxwOBaAu5q74Wor++o0FK62Fix8oC2NHP/9P0/OLVIwkRBCCGOT+lLUtLUnE0nILsLVxpzHugcoHUeYGLVKxdsDm9PEzYb0/BJe+vU0ecWlSscSQghRiZqsFV944QWsra3ZuXMnq1evZu/evSxdurTS1xcUFPDyyy9TWFhYA1+JqA/CU/P49UQCAC/dHoRGrVI4kTBlXQOceKiDDwBvbz5Pen6xwomEEKJ+MNog+MqVK3nvvfd44IEHcHNzQ6vV4uHhwUMPPcSbb77Jd999V+VjnTt3jrFjx9KlSxd69uzJq6++Snp6urGiizokOaeIredTAcoLBdFwuNtZ8Nn9bcrvv7DmJMk5MhAuhBD1VU3Wl0IUlpTxzf6LADzV3Q8rWZ5SXIO1uYZPhrXCxcacC6l5vPbbOcp0slyAEEKYopqqFaOjozlw4ABTpkzBysoKX19fJk6cyPfff1/p58yaNYs77rijpr4UUQ98tj2CMj30DXaho6+j0nFEHfBs78YEuxouvnx78/ny1SyEEELcPKMNgkdFRXH77bdf87k77riDiIiIKh2nsLCQp556ipCQEHbt2sXGjRvJzMxkxowZNRlX1FGrjsVTptMT0siB5h52SscRCnC/YvZ/bGYRz6w6QZIMhAshRL1UU/WlEAA/H40nLa8Yb3sLhrbxVDqOMGGe9pZ8PKwVFlo1uyLS+WRbuHRKCiGECaqpWjEsLAxHR0c8PP5dvjooKIj4+Hiys7Ovev3atWuJjo5m0qRJNxf8EpXKtG91IaMp3AD2RKazLyoDrVrF5NsCFc9kqjdTf0/V9vempZmad+5tjrlGxa6IdNacSKgT7WRKN2kraSdpq4bTTlVltD3BVSpVpfvkmJubV3l5oPj4eJo3b86zzz6LRqPB3NycUaNG8eqrr9ZkXFEHFZaUlS8rJLPABYCHnTlRGQU89cMx5o1og7+ztdKRhBBC1KCaqi+FyCksZfnBGADG9QjATGO0a4NFPdHK045ZA5oxbcNZfj4Wj7udBY938VU6lhBCiCvUVK2Yl5eHlZVVhccu38/Pz8fe3r788fDwcD799FN++OEHNJpbW1XGxcX0J3fUhYxKKynT8fmOSACe6NWYkCbuCicybSb7nrL69+8DV1c7sLGpldO6utoxdUAL3t54hs+2R9C/jTcumHA7mSBpq6qRdqo6aauqMdV2MtogeE0JDAxkyZIlFR7bvHkzrVq1qtZxqnNlgCm58ioKUdHG00lkFZbi42DJbcEuV7WVtFnV1ek2uyLzvBFtmPh7BBczCnj6x+PMHd6aFp7G+eFbp9tMIdJm1SdtVn3SZtV3rTaT9hP13bf7L5JVWEpjF2vuaSEdk6Jq+jd148W+RXz6TwTzdkbiYmPGoFayioAQQtQ31tbWFBQUVHjs8n2bKwbCioqKePHFF5kxYwbe3t63fN60tBxMdaERlcrQuW3KGU2BSgUbQ9MIT8nD0cqMh9t5kpqao3Qsk2Ty76m8PFwvfZiamgMFulo79eBmLvx5yol9URmMW36I3yb3piCnwDTbyYSY/HvKREg7VZ20VdUo0U6Xz1kVRhsELy0tZe3atZU+X1ZWVu1j6vV6PvvsM7Zt28aKFSuq9bmmehVCVdX1/DWttEzHyqNxAIy7LQgPd/urXiNtVn11ss2uuDKzdaAba571Ysy3BzgVl80zq06y+LGO9Ahyvc4Bbk2dbDOFSZtVn7RZ9UmbVV9daDNj1Jei4YnPKuTHS3Xk5D6BaNRy1Yeouoc7NiI1t5jvDsXyzubzOFmb07Oxs9KxhBBCUHO1YpMmTcjMzCQ1NRVXV0N/Qnh4OJ6entjZ/Vsznzx5kqioKGbOnMnMmTPLH58wYQJDhw7lzTffrFZ+vR6T72SvCxmVlFlQwqdbzwMwvoc/NuZaaa8bMNn31BWZ9PqK941NhYpZA5oxevkRItPyee3XU0zvF0iFmUCiUib7njIx0k5VJ21VNabaTkYbBHd1dWXu3LmVPu/i4lKt4+Xm5jJ9+nROnz7NihUraNasWbU+v65erSFXm1zbH2eTiUkvwNHKjP6NHStcVSltVn11us3+e2WmjQ3z7m/NK2tPcygmi8e/OcC797agX9OaHQiv022mEGmz6pM2qz5ps+q7VptV54rK2lTT9aVomBbsiqSkTE9nP0d6NHZSOo6ogyb1aUxqXjGbziYzbf0Z5o1oQzsfB6VjCSFEg1dTtWJAQAAdO3Zk9uzZvPXWW2RkZLBgwQJGjBhR4XWdOnXixIkTFR5r1qwZixYtomvXrtX/AkSdN29HJJn5JQS72jCsrZfScUQd5mxtzruDmjPx5xOsORpHSzdrhraR95QQQlSX0QbB//777xo71sWLF3n66afx9vZm9erVODtX/0p7U70Koarqev6apNfrWXbAsIfjyBBvLLSaa7aNtFn11ck2u8aVmTbmWj67vw2v/XaWfy6kMW3DGWbc2cQoxWKdbDOFSZtVn7RZ9UmbVV9daLOarC9Fw3Q6MYfN51JQYZgFrpK1/8VNUKtUvH53UzLyS9gXncHkNadYNLItzT1M7+IhIYRoSGqyVpw7dy5vvfUW/fv3R61WM2zYMCZOnAhASEgIs2bNYsiQITV2PlH3nYzPZu3JRACm3RGMVlYbEreoQyNHnunVmHk7I/ngrws0c7eVelMIIapJfeOXKCsrK4vHH3+cDh068PXXX9/UALioX/ZFZxCWkoeVmZoH2t/6nkuifrLQqnlvcEuGtvZEp4d3toTx1Z5o9KY+wiOEEMLozp07x9ixY+nSpQs9e/bk1VdfJT09XelYwsj0ej2fb48AYGBLd5p52CqcSNRlZho1HwxtSXsfe/KKy5i0+iThqXlKxxJCCFFDLs8q379/P3v37mXq1KloNBoAjh49WukAeGhoqMwCb4BKdXrmbA0DYETHRrRvJCvEiJrxWJdG9G/uTnGZninrzpCZX6J0JCGEqFNMfhB8zZo1xMfHs2nTJjp27EhISEj5TTRMyy/NAh/WxgtHKzOF0whTplWrmHlXEx7v4gvA4r3RvPbbOQpLZM9YIYRoqAoLC3nqqacICQlh165dbNy4kczMTGbMmKF0NGFkO8LTORqbhYVWzYSeAUrHEfWAlZmGT+9rTUtPO7IKS3l29UkuZhQoHUsIIYQQteyXY/GcT8nD3lLL9AHNlY4j6hG1SsUno9rj62hJYk4R0387S6lOJvgIIURVmfwg+NixYwkNDeXYsWMcPXq0wk00PKcTsjkUk4VGreLhjj5KxxF1gEqlYlLvxrx2VxM0ahVbQlN4ZtUJUvOKlY4mhBBCAfHx8TRv3pxnn30Wc3NznJycGDVqFAcPHlQ6mjCiolIdn20PB+DBDj542lsqnEjUF7YWWube35pgVxvS8op55ufjMhAuhBBCNCDJOUUs3B0FwMReAbjYWigbSNQ7DlZmfDSsFdZmGg5dzOSLHRFKRxJCiDrDaHuCC2EMS/ZdBOCeFu7SeSmqZWgbLxo5WjF1/RlOJeQw5vujfDKsFU3dZSlUIYRoSAIDA1myZEmFxzZv3kyrVq2qdZza3Er68rlk++qbt/JwLLGZhbjamPNEN9+r2lLa2LhqvX2vOI9KVfG+MThamzH/gTZM+OkEken5jP/pOItGtSXA2dq4J76CvIeNS9rXuKR9jU/pNpb/W1Ff6fV6PvjrAnnFZbTytOO+tl5KRxL1VJCrDW8MaMbU9WdYeTiOYFcbBrf2VDqWEEKYPBkEF3XG6cQcdkWko1bBE139lI4j6qCOvo5883AIL/56iosZBTz14zHeHtiC24JdlI4mhBBCAXq9ns8++4xt27axYsWKan2ui4udkVKZ1jnrg/jMAr7db9hO5/XBLfH3dqr0tdLGxlVr7Wv174Jnrq52YGNj9FO6usKqiT0Y/dV+QpNymPDzSX54uitNPGr3PSXvYeOS9jUuaV/jkzYWomZtC0tle3gaGrWK1+5qikYtV3wI4+nXxJUnuvnxzb6LzP4zDB9HSzo0clQ6lhBCmDQZBBd1xpK90QAMaOGOn5OVwmlEXeXnZMW3D7dn+oazHLiYyZR1p5nQM4AxXX1Ry+XpQgjRYOTm5jJ9+nROnz7NihUraNasWbU+Py0tB30tbcWmUhk6rWvznPXJGxvOUlBSRkgje3r42JGamnPVa6SNjavW2zcvD9dLH6am5kCBrhZOajBveCsmrjpJWEoeIxftZf4DbWpl5SF5DxuXtK9xSfsan9JtfPn8QtQn2YUlfPC3Ybudx7v4Euxm/IvuhBjfw5+L6flsPZ/Kq+vO8O3DIfhKP7kQQlRKBsFFnXDmylng3fyVjiPqOHtLMz6/vzUfbQvnl+MJLNwdxcmEbGYNaIa9pZnS8YQQQhjZxYsXefrpp/H29mb16tU4OztX+xh6PbXeiazEOeu6gxcz+DM0BbUKXrk9GFBdtw2ljY2r1tr3inPo9RXvG5ujlTkLHmjLpNUnCU3OZdxPx/lkWGtCGjnUyvnlPWxc0r7GJe1rfNLGQtScL3ZEkpZXjL+TlaxYKWqNWqXijXuaEZ9dxJnEHF789RRfP9QeByvpzxRCiGtR3/glQijvK5kFLmqYVqNm2h1NeO2uJphrVOyKSOfRFUc5l3T17DAhhBD1R1ZWFo8//jgdOnTg66+/vqkBcFE3lJbp+OjS7Jzh7bxrZTauEACOVmYsfKAt7X3syS0q47lfTrIzPE3pWEIIIYSoIfui0ll7MhGAmXc1xUIrXeyi9liaafh4aEvcbc2JzijgpbWnKSwpUzqWEEKYJPkNLUyezAIXxjS0jRdfP9QebwdL4rMKefKHY6w7maB0LCGEEEayZs0a4uPj2bRpEx07diQkJKT8JuqX7w7FEpGWj6OVGeN7SA0papedpZYvhrehV6AzRaU6pqw7zcbTiUrHEkIIIcQtyiks5e3N5wEY2d671lZ7EeJKrrYWfD68DbYWGk7EZ/P67+co08lSH0II8V8yCC5M3vydkQDcI7PAhZE097Dju0dC6BXoTHGZnne2hPH25lC5ilIIIeqhsWPHEhoayrFjxzh69GiFm6g/otPzWXJpJaEX+wbK8oBCEZZmGj4c0pKBLd0p08OsP87z1Z5o9LIWsRBCCFFnffxPOMm5xfg6WjKpT2Ol44gGLNjVho+HtcJco+KfC2l8+PcFqTOFEOI/ZBBcmLT9URkcuJiJmUbF+B4BSscR9Zi9pRkfD2vFxF4BqFWw/lQSY1ce40JqntLRhBBCCFENOr2e2X+GUVymp1uAEwNauCsdSTRgWo2aN+5pxmOdGwGweG80s/4IpaRMp3AyIYQQQlTX9gtp/HY6CRXwxj3NsDLTKB1JNHAdGjny9sDmqIBfjiewYFeU0pGEEMKkyCC4MFk6vZ4vLs0CH9HOG28HS4UTifpOrVIxtqsfXwxvg7O1GRdS83h8xRF+PhonV1IKIYQQdcT6k4kcic3CUqtm2h3BqFQqpSOJBk6tUvFcn0Cm39kEjQp+O5PMc7+cJKugROloQgghhKii9PxiZv9pWAb9kU6NaOcjy6AL09CvqRtT7wgGYOmBGL7Zd1HhREIIYTpkEFyYrC3nUghNzsXGXMMTXf2UjiMakC7+Tqx8rCM9GxuWR//w73Be/PU06fnFSkcTQgghxHWk5hbx+Y4IAJ7pFYCPg2ylI0zH/W29+PT+1tiYazgck8Xj3x/lQoqsOiSEEEKYOp1ez6w/QknPLyHQxZrxPQOUjiREBcPbeTP5tkAAFu6OYuXhWIUTCSGEaZBBcGGSikt1LNxlmAX+eBdfHK1lH0dRu1xszPn0vla8cnsQ5hoVuyPTeWjZYXZHpisdTQghhBDXoNfrmbP1ArlFZbTwsGVUiI/SkYS4SvcAZ5Y82B5vB0visgp54oej/H0+RelYQgghhLiOH4/EsScyAwutmncHtcBCK13qwvQ80qkR47r7A/DpPxH8eCRO4URCCKE8+Y0tTNKqY/HEZxfhamPOQx2kA1MoQ6VSMaqDD8se6UCQqzXp+SW8sOYUH/51gYLiMqXjCSGEEOIK608lsj08Da1axWt3NUWjlmXQhWkKdrNh2egQOvs5UlCiY+qGs8zfGUmpTrbfEUIIIUxNaFIu8y5t1zj5tkCCXW0UTiRE5Z7q7sdjnX0B+HhbON8fkhnhQoiGTQbBhclJzSvmq73RAEzo6Y+lmUbhRKKhC3a1YdnoDowK8Qbg52PxPLjsMHvD0xROJoQQQgiA2MwCPt4WDsAzPQNo6m6rcCIhrs/Ryoy5w9vwcEfDBb9LD8QwafUJUnOLFE4mhBBCiMtyi0qZ8dtZSsr03Bbkwoh2XkpHEuK6VCoVk3oH8ERXw0D4Z9sjWHYgRuFUQgihHBkEFyZn3s5I8orLaOlpx+DWnkrHEQIAC62aV/oF88Xw1njaWRCXVchDX+1jzp9h5BWXKh1PCCGEaLBKdXre2BRKQYmOkEYOjO7USOlIQlSJVq3ixb5BvDOwOdZmhn3CR393hAPRGUpHE0IIIRo8vV7P25vPczGjAHdbc167qykqlaw0JEyfSqXimV6NGdfDsDT6vJ2RzNsZiV4vqw4JIRoeGQQXJuV4XBa/nU4C4NV+QailuBQmpluAMz883pHhl67+XX08gYeWHWa/dFYKIYQQivjuYAwn4rOxMdfw5j3NZBl0Uefc3cKdZY+EEOxqQ3p+CZNWn2TBrkhKy3RKRxNCCCEarJWH4/g7LBWtWsWcwS1xtDZTOpIQ1fJ0d38m9W4MwLIDMby7JUy23xFCNDgyCC5MRplOz4d/G5axHNrak1Ze9gonEuLabC20TL+zCSuf6oq3vQUJ2UVMWn2Sd7acJ7uwROl4QgghRINxKiGbL/cYttGZ0i8YbwdLhRMJcXMCnK359uH2DG3jiR74dn8MT/xwjKj0fKWjCSGEEA3OkdhMvtgRAcCLfYNo4y19lKJueryLLzPvbIJaBetOJTJ9wxkKS8qUjiWEELVGBsGFyVhzIoHQ5FzsLLQ82ztA6ThC3FCPYFd+HNOJke0Ne4WvO5nIiG8O8dvpJFliSAghhDCyzPwSpm04S5lOzx1NXRnY0l3pSELcEkszDa/d1ZQ5g1tgb6nlbFIuj353hNXH4qW2FEKIWpaWlsbEiRPp1KkTXbt25d1336W09Npbof3www/cfffdhISEcPfdd/P999/XclpRkxKzC5m+4SxlerinhTsPtJd9wEXdNqytF3MGt8Rco+KfC2mM//kEqXnFSscSQohaIYPgwiQkZhcyf2ckABN6+uNkba5wIiGqxtpcw5T+wSwe1Y7GLtZkFJTw5h+hTPj5BBFpeUrHE0IIIeqlMp2e1zedIymnCD8nK2bKHo2iHunf1I2Vj3Wks58jhaU63v/rAhNXnyQuq0DpaEII0WC88MILWFtbs3PnTlavXs3evXtZunTpVa/bunUrn3zyCe+//z5Hjhxhzpw5fPbZZ2zevLn2Q4tbll9cxktrT5OeX0ITNxtm3NlEakxRL9zexJV5I9riYKnlTGIOY78/yoUU6bcUQtR/MgguFKfX65n9Zxh5xWW09bZneDtvpSMJUW0hjRz4/tEOPNsrAAutmiOxWTy8/AjzdkbKMkNCCCFEDftm/0X2RWVgoVXz/uCW2FpolY4kRI3ysLNg3og2vNg3EAutmkMXM3lw6WF+OhKHTmaFCyGEUUVHR3PgwAGmTJmClZUVvr6+TJw48ZozvJOSknj66adp3749KpWKkJAQunbtysGDBxVILm6FTq/nf7+fIywlD2drMz4Z1gorM43SsYSoMSGNHPj24RD8nKxIzCniyR+O8XdYqtKxhBDCqGQQXCjutzNJ7I3KwFyj4vW7mqJRyxWWom4y06gZ09WPn8d0onegM2U6PcsOxDBy6SG2hqbIMpZCCCFEDdgflcFXl/YBn35HE4LdbBROJIRxqFUqHu7YiB8e60hIIwcKS3V8tC2cp344TlhKrtLxhBCi3goLC8PR0REPD4/yx4KCgoiPjyc7O7vCa0ePHs24cePK76elpXHw4EFat25da3lFzZi/M4rt4WmYa1R8OLQVnvaWSkcSosb5OlnxzUPt6eTrQH5JGVPXn2H+zkjKdNJnKYSon2TKhFBUam4Rn2yLAGBcjwACXKwVTiTErfN2sOST+1qz/UIqH/4dTkJ2EdM3nqW9jz0v9A2ilaed0hGFEEKIOikqPZ/pG8+iB4a18eTeVh43/Bwh6jpfJysWjWzL6mMJzN8ZycmEbB797ggPdmjEuB7+WJvLLDUhhKhJeXl5WFlZVXjs8v38/Hzs7e2v+XkpKSmMHz+e1q1bM2jQoGqf15RX3b6czZQz3oofj8Sx/GAMAK/f3ZR2Ptf+P76R+t5ONcnk2+qKXCpVxfu1GsMI7eRobca8B9ryxfYIvj8cx9IDMZxLzuWtAc1wtqm7W5Sa/HvKREg7VZ20VdUo0U7VOZcMggvF6PV63tkSRk5RKS08bBndqZHSkYSoUbcFu9LF34kVB2NZfjCGY3HZjPn+KANbujOxV2M87CyUjiiEEELUGZn5Jbz46ylyikpp42XPK/2ClY4kRK1Rq1SMDPGmb7ALn/wTzl/nU/n+cCx/hiYzqU9jBrRwVzqiEELUG9bW1hQUFFR47PJ9G5trr0Bz7NgxJk+eTKdOnXjvvffQaqvf5eriYvoXzNeFjNW14Xg8H28LB+ClO5vyaJ9brzHrYzsZi8m2ldW/C+i6utpBJd/7tcUY7fTuA+3p0sSNqb+cYF9UBqNXHOWzUe3pGexa4+eqTSb7njIx0k5VJ21VNabaTjIILhTzw5E4dkemY65R8b+7m6GVZdBFPWRlpuHpHv4MbePJgl2R/HYmmd/PJPPX+VQe69yIRzr5yuwdIYQQ4gaKS3W8su40sZmFeDtY8vGwllhoZWcn0fC421kwZ3BLdkem8+FfF4jLKuR/v4ey6mg8b9/flkZWUlcKIcStatKkCZmZmaSmpuLqahgMCg8Px9PTEzu7qzt4V69ezTvvvMPzzz/PE088cdPnTUvLwVR3UVOpDJ3bppzxZuyPzuDFX06h18MD7b15qK0Hqak5N328+tpOxmDybZWXx+Wh4NTUHCjQKRLD2O3Us5E9Sx8OYcbGs0Sk5fPIkv2M6erLuB7+mGnq1t9bJv+eMhHSTlUnbVU1SrTT5XNWhQyCC0WcSczhix2RALzYN0j2chT1nrudBW8OaM7IEB8+/SecY3HZfLX3IquPJTCmqy/D23lLZ74QQghxDXq9nre3nOd4fDa2Fho+va8VTtZ1d5k+IWpCz8bOdBrTiZWHY/l2/0VOJuQwbP5u7mruxrju/vg7yzZTQghxswICAujYsSOzZ8/mrbfeIiMjgwULFjBixIirXrt582befPNNFi5cSO/evW/pvHo9Jt/JXhcyVtXR2Cxe/vU0pTo9dzR14+XbgwBVjXx99amdjM1k2+qKTHp9xftKMGY7BbnasGx0CJ/8E86vJxL5dn8MuyPSmTWgeZ3sszfZ95SJkXaqOmmrqjHVdpIRF1HrcotKmfnbWUp1em5v4srwdl5KRxKi1rT0tGPxqHbMGdwCX0dLMgpK+PSfCO7/+gC/nkigtEyZK0uFEEIIU6TX6/lsewR/nE1Go1YxZ3BLAl3qXkeMEMZgoVUztqsfvzzRmUGtPADYci6FUUsP8fbmUBKyCxVOKIQQddfcuXMpLS2lf//+jBw5kt69ezNx4kQAQkJCWL9+PQDz5s2jrKyM559/npCQkPLb//73PyXjixs4HpfF5DUnKSzV0c3fiVkDmqGRFSpFA2ZppmHGnU2ZM7gFDpZazqfk8eiKI3yz76L0VQoh6jSZCS5qlV6v590tYcRmFuJpZ8FrdzVBVZ1d7IWoB1QqFf2bunFbkAsbTyexZN9FknKKmP1nGMsPxjCuhz93NXOXP8CEEEI0eF/uiWbl4TgAZt7ZhK7+TgonEsL0uNla8OaAZjzTvwlzNp5hZ0Q6608lselsMve18WJsNz9cbWT1BCGEqA5XV1fmzp17zeeOHj1a/vGGDRtqK5KoISfis3n+l1MUlOjo6u/Ih0NbYi4r8wkBQP+mbrT3cWD2n2HsCE9j4e4otoQmM/2OJrTzcVA6nhBCVJv8hhe16pv9F9l6PgWNWsU79zbH3tJM6UhCKEarUTOsrRe/PNGZl28PwtnajNhMw76OI5ceYv3JRErkakshhBAN1LIDMXy97yIAU/oFMbi1p8KJhDBtrbwd+PT+1nz9UHs6+TlSUqbn52PxDFtygC92RJJZUKJ0RCGEEEJR+6MzmLT6BPklZXTyc+Sjoa2wNNMoHUsIk+JiY85HQ1sya0AzHK3MCE/N56kfjzP7z/Nk5BcrHU8IIapFBsFFrfk7LJVFu6MBmNo/WK4eE+ISC62aBzv4sPapLkzsFYC9pZaLGQW8veU8w5Yc4IcjcRSUlCkdUwghhKg1Px6JY97OSAAm9W7MyBAfhRMJUXe09bZn4QNtmT+iDa297Cgq1bH8YAyDFu/ng78uEJtZoHREIYQQotb9dT6FF381zADv4ufIp8NkAFyIyqhUKga29GDV2E4MaW3YdufXE4nc/81BVh6OlSXShRB1hgyCi1oRmpzLG7+fA+DBDj7c11b2ARfiv6zMNIzt6sf6p7sw+bZAXG3MSc4t5pNt4Qz56gBf74smS2bwCCGEqMf0ej1f7Y3m423hADzRzY/Hu/gqnEqIuqmLvxPfPNSej4e1opm7LUWlOlYdi2f4NweZvuEMpxOylY4ohBBC1IpfjsczfcNZSsr09G/qyqf3tZYBcCGqwNHKjNfvbsaXo9rS1M2G3KIyPv0nglHLDrM1NAWdXq90RCGEuC7ZE1wYXWxmAS/+eorCUh3d/J2YfFug0pGEMGk25loe6dSIke292XgmieUHYojLKmTR7mi+3R/DwJbujAzxIdjVRumoQgghRI3R6fV8si2cn47GA/BkNz/G9/BXOJUQdZtKpaJPkAu9A505eDGTFYdi2RuVwdbzqWw9n0pIIwce7dSInoHOqFUqpeMKIYQQNapMp+fz7RH8cCQOgPvbevFq/2A0avmdJ0R1dGjkyPJHOrD+VCILd0VxMaOA6RvP0sLDlgk9A+ge4IRKakkhhAmSQXBhVMk5RTy76gQpucUEuVoze1ALtFJoClEl5lo197f1YkhrT/4KTWHZwRjCUvL49UQiv55IpJOvAyNDfOgT5CJ/wAkhhKjTSst0vLX5PJvOJgPw8u1BPNhBlkAXoqaoVCq6+DvRxd+JCyl5rDgUwx/nUjgam8XR2Cx8HS0Z1saLQa09cLY2VzquEEIIcctyi0qZ+dtZ9kRmADC+hz9PdvOTgTohbpJGreK+tl7c2cyNlYdj+f5QHGeTcpm85hTN3G15rHMj+jV1k75/IYRJkUFwYTQZ+cU8u/oE8dlF+DpaMm94G+ws5S0nRHVp1SrubuHOXc3dOBqXxc9H4/knLJVDMVkcisnCy96C+9p6MaiVB262FkrHFUIIIaolPb+YaRvOcjQ2C40K/ndPMwa29FA6lhD1VrCbDW8OaM4zvRrz05E41pxIICazkC92RrJwdxR9g125r60nnfwcZXa4EEKIOulCah7TN5whKr0AC62aWQOa0b+pm9KxhKgXbC20jOsRwAPtvVl6IIZfTyQQmpzLzN/O4bMrikc7N+Lelh6y5YAQwiTIiKQwitS8Yp7/5SRR6QW425oz/4G2uMrgnBC3RKVS0aGRIx0aOZKYXcgvxxP49UQCCdlFLNgVxaLdUXQPcGZwaw96B7pgrlUrHVkIIYS4rtCkXF5Zd5rEnCJszDW8c29zegW6KB1LiAbBw86C528L5Knu/vwZmsyaE4mcScxh6/kUtp5PKZ8dfm8rD1xsZHa4EEKIumHDqUTe/+sCRaU63G3N+XBoK1p62ikdS4h6x8nanBf7BjG2qx+rjsXz05E44rIKmbP1Aov3RDOivTdDWnviYSdjAkII5cgguKhxsZkFPPfLSWIzC3G2NmPBA23xsrdUOpYQ9YqnvSXP9m7Mk938+DM0hQ2nEjkal83uyHR2R6bjYKnlnhbuDGrlQTN3W1nuSwghhMn542wy72w5T1GpDl9HSz4a1opAFxulYwnR4FibaxjaxouhbbwITcrl15MJ/HE2uXx2+PxdkXTxc+LuFm70DXbF1kK6EYQQQpienMJSPvz7Qvn2Ot38nXhrYDOcZJsPIYzK0cqMp7v782inRqw/lciKQ7EkZBexeE80S/ZG06OxM0Nbe9Ir0BmtRibsCCFql/z1KmpUWEouz/1yirS8YnwcLJk3og2NHK2UjiVEvWVppmFwa08Gt/YkOj2fjaeT+O1MEim5xfx0NJ6fjsbTyNGSO5q6cUdTN5q628iAuBBCCEXlFhk6KH8/c6mDMsCJd+9tjr2lmcLJhBDNPGyZ5tGE5/sEsjU0hV9PJnAqIYd90Rnsi87gPU0YvQJduLuFOz0bO2MhKw8JIYQwAXuj0nln83mSc4tRq2BcD3/GdvWTbT2EqEWWZhpGhvhwf1svtp5PZc2JBI7GZrErIp1dEem42JgzqJUHg1p6EOBirXRcIUQDIYPgosZsC0tl1h+h5BWX0cTNhrn3t5Yl0IWoRf7O1jzbuzETegawLzqDjacS2RmRTmxmIUsPxLD0QAy+jpb0b+pG/6auMkNcCCFErTsWm8Ubm84Rn12EWgVju/rxdHd/NGr5fSSEKbE21zCkjSdD2ngSk1HAltBk/jibTFR6AX+HpfJ3WCo25hr6BrvQJ9iVbv5OWJvLvo9CCCFqV2Z+CfN2RrLuVCIAvo6WvHFPM9r5OCicTIiGS6tRc08Ld+5p4U50ej7rTyWy8XQSaXnFLDsQw7IDMQS5WtO/iRv9mroS6GIt/ZNCCKORQXBxy8p0ehbtjmLpgRgAOvo68OGQVthZyttLCCVo1Cp6NnamZ2Nn8ovL2BWRxtbzqeyJTCfmigFxVxtzejR2okdjZ7r6O8nSlkIIIYwmt6iURbujWHUsHp0evB0seWuAdFAKURf4OlnxZDd/nujqx/mUPLacS2bzuRSScor47Uwyv51JxlyjorOfE32CXegT6CwXQwshhDAqnV7P2pOJLNgZSVZhKQCjQrx5tndjrMzkoiwhTIW/szXP9QlkQs8Adkaks/5kIvuiMwhPzSc8NZrFe6MJcLaiX1M3bgtyobmHrazgIISoUTLiIW5JUk4Rb/0RyoGLmQA83NGH53o3lv09hDAR1uYa7mruzl3N3csHxP86n8reqHRS84pZfyqJ9aeS0KhVtPW2p0eAE538HGnubivfx0IIIW6ZXq9n87kUPtseQVpeMQD3tvLglduD5OIrIeoYlUpFM3dbmrnb8mzvxhyPy+afC6nsCE8jNrOQ3ZHp7I5M5z2glacdvQINF1q28LRDK6s9CCGEqCH7ozKYtzOSc8m5ADRxs+HVfsG0byQXVwphqsw0avo1caVfE1eyC0vYEW7on9wfnUFUegHf7LvIN/su4mCppau/E10DnOjq74SHnVxYKYS4NdLzJG6KXq/ntzNJfLwtnNyiMiy0al67qyn3tHBXOpoQohJXDogXl+o4GpfFnsh0dkekE51RwNHYLI7GZgFgqVXT1tuekEYOhDRyoJWnHZZyNbUQQohqOB6XxfxdUeW/W/ycrHi1fzBd/Z0UTiaEuFVqlaq8TnzhtkAi0/PZfiGNHeFpnErI4XSi4fblnmhsLTR08nWks58TXf0d8XOykiUvhRBCVNuphGwW7ooqn4hjY65hXA9/Rob4yMVWQtQh9pZmDGrlyaBWnuQWlbIzIo2/z6dy8GImWYWlbAlNYUtoCgCNXazp5OtIO2972vrY42lnIXWkEKJaZBBcVFtMRgGf/BPOroh0wHCV/xv3NKOxi7XCyYQQVWWuVRuurPR34sW+QcRmFrAnMoMD0Rkci8siq7CUAxczy/+4NNOoCHa1oYWHHS08bGnhYUegqzVmMltcCCHEf4Qm5bJwdxS7Iw21ooVWzRNd/XikUyPMtfJ7Q4j6RqVSEehiQ6CLDWO7+pGaV8zO8DT2RWVwKCaT7MJS/rmQxj8X0gDwsLOgs5+hM7OdjwMBzjIoLoQQ4tr0ej0HL2by7YEYDl3RPzGinTdju/riZG2ubEAhxC2xtdAyoIUHA1p4UFqm41RCDvuiM9gfncGZxBwi0/KJTMtn1bF4ANxtzWnrbU8bb3taedrRxM0Wa3OZtCOEqJwMgosqyyks5et9F/npaBylOj1mGhXjuvvzSGdfueJSiDqukaMVI0OsGBnijU6vJyItv3xm+JHYLNLyijmblMvZpNzyz7k8MB7sakNjF2sau1gT4GyNl70lGvmZIIQQDYper2d/dAY/HIljT2QGABoVDGrtyVPd/PC0t1Q4oRCitrjamHNfWy/ua+tFmU7PueRcDkQbLrY8Hp9NUk4RG08nsfF0EgAOllraeNuXD4q38LCVFYiEEKKBKygpY/PZZFYdi+d8Sh4AGrWKAS3cebq7P94OUlsKUd9oNWraN3KgfSMHJvQMIKughEMxmRyLy+ZEfDahybkk5xaz9XwqW8+nAqDCsOJYM3dbmrrb0qWJG+7mKpytzeUiSyEEIIPgogqyC0v4+Wg8Px6JI6uwFIDuAYbZozL7W4j6R636d3D7gfbe6PV64rIKOZuUy7mknEv/5pJTVHrVwDgYZvz5OVnh52SFl70l3g6WeNtb4u1ggY29/MwQQoj6JKewlD9Dk/npaDwRafmAoSPiruZujOsRgJ+TlbIBhRCK0qhVtPK0o5WnHWO7+lFYUsbRuCyOxGRxPD6bM4k5ZBWWsisivXylMY1aRaCLNc3dbWnuYUtzDzuauNlgJQPjQghRr+n1ek4n5vD7mWQ2nU0it6gMMPQxDGvjySOdGsmFlUI0IA5WZvRv6kb/pm4AFJaUcToxhxPxhkHxc0m5pOYVE51RQHRGgWEJ9Z2RANhaaGjsbJisc3niTiNHQz+lhaxOJkSDIoPgolKxmQX8cjyBNccTyC8xFJ4Bzla80DeIno2dFU4nhKgtKpWKRo5WNHK04s5mhsLz8sD4uaRcItPyiUjLJyo9n4sZ+RSV6ghLySPs0tXa/+VgpcXF2hxXG3NcLt1cbcxxsjbD3lKLnYUWu8v/Wmix0Krl6k0hhDAhpWU69kdn8tuZJLZfSKW4TA+AtZmGwa09eLCDD40cZfBbCHE1SzMN3QOc6R5g+HuypExHaHIux+OyOR6fzfG4LNLzS8pryQ2XZourVeDvbE0zd1sCXaxpfKlD08fRSlYlE0KIOkyv13M+JY9/wlLZEprCxYyC8ucaOVoyvJ03g1p54GhlpmBKIYQpsDTT0NHXkY6+juWPpeUVE5qcS2hyLueTc7mQls/F9Hxyi8o4mZDDyYScq47jZmt+abLOvzefS/+62Zijla0fhahXZBBcVJBfXMbO8DTWnkos32sHINjVhjFdfOnfzE06GYQQFQbGr1Sm0xOfVUhkej5xWYUkZBUSn1VIfLbh37ziMrIKSskqKC2fMXgjZhpV+YC4naUWS60aC60GC60aSzM1FpfuGx433Mw0ajRqFRq1Cu2lm0alQqsx/KtRV/xYo1JxeZxdfeljleELRX3pYxWGDwz3DR+rLr8eLj1n+Piax6rCsS9/rgrD69RqsCoqpaC4rELbl7/uyo8vPSfqBr1eT5kedDo9Or2eMr0enQ7Dv3o9ukvPlen1lOkM98sq3Df8W/lzl4516TUVnrv0+svH1+n1WFpZkJ1bWH5MrUbF9MGtlW4mYUJyi0rZG5XB9gup7InMIKeotPy5QBdrhrT2ZGgbT2wt5M8LIUTVmWnUtPayp7WXPaMx/H5MyiniXFIu5y51aJ5NyiUtr7h8T8iKn6/Cz8mKxs42NHYx1KY+lzoyXWxkGUwhhDBFGfnFHI7J4lBMJnujMojPKix/zkKr5vYmrtzb0p0u/k6o5ee4EOI6XGzM6dHYmR6NnVGpwNXVjrjELKLTDXVjVHo+kWkFRGfkE5tZQEGJjpTcYlJyizken33V8VSAk7UZrjbmuNla4GprjpuNOW625rjYWOBma5jE42hlhqVM2hGiTpBeKkFqXjH7ozLYFpbKvugMikp1gOGHftcAJ0a296ZXoLP8UBdC3JBGrcLXyQrfayx/q1KBmbUlZ6PTSM0rJu3S7fLH6fkl5BaVklNUSk6h4V+dHkrK9KTnl5CeX6LAV1Q3/Xdg/L+D5P8dbK/w8eVj3GBA/78D8BUG9a9xngoXDaiuzHn93y16vb7y5yr52jVaDWWlZdd8vuKxb/D8dY6g1xtu5YPWukuD2lcMYF9zcPvS60ydrYVWBsEbuLziUk4l5HA4JpNDFzM5k5hT4b3rbG3Gnc3cGNTKg2butlInCiFqhEqlwtPeEk97S/o2cS1/PDW3iHPJuYSl5JUPhkemG1YgCk/NJzz16osrLbRqvO0t8XE0bM3jbmfouDTcLHC3tcDaXJZYF0IIY9Lr9aTlFXMqIYdDMZkcism86me2hVZN9wAnbm/iym3BLtiYS3e1EOLmWWjVNHGzpYmbbYXH9Xo9mQUlxGcVEvefSTvxWYUkZBdRqvu3D/J8JStcXnkeB0stjlZmOFgZBsYNt0uPWRru21pqsTHXYGuhxdZcIyteClHL6kRVkZaWxuuvv86BAwfQaDQMGTKEqVOnotXWifgmRa/XE59dyOkEw/4ZBy9mXjUb08fBkgEt3BnSxhMv2WtHCFGDHKzNCHazIcjV5oav1ev15BWXkVtUSvalQfHcolKKSnUUlugoLNVRVFpmuF+qo+jS/cISHWU6PaVXzIAtvfL+VR/r0OkN59NzeXDz3491l0ZKr7r/n+d0en35oOrl5y6PF11+Tn/p67r8sbFczloepsIzoq7QqAwXlqgvr1hwadUCtVp19XOX/lVferzic1RyDBUaNajVKmyszCkpLjU8p6JBDApIffmvzIISItLyCE/N52xiDqcTc4hMy7/qJ4afkxW3BblwW7ALrb3s0cjqQEKIWuJqa0EvWwt6BbqUP6bT60nILiQqrYCItDyi0wuIyy4kPrOAxJwiikp1RKYbBssrY2OuMczosTLD0dq8vNPyypudhRYbCw3FWi3FRaVYajXy80+IBqA6teL27dv56KOPiImJwcvLi1dffZXbb79dgdTKKinTEZtZyPnkXM6n5HI+OY/zKbnXvKA92NWGjr4OdPZzpKu/E5Zm9f/vDyGEslQqFU7W5jhZm9PKy/6q53WXBslTcotJzS0mJbeIlEsTd1Iu3U/NKyazoISSMj1FpTqSc4tJzi2uVg6tWvXvoLiFFlsLDTbmhn9tzbVYmmmwMlNjdelfw/1/H7vyvqXW8K8s4S5E5epEL98LL7yAh4cHO3fuJDU1lWeeeYalS5fy1FNPKR3NZBWV6kjMLiQxp4i4zAIi0vIJT8vnQkoemQVXF59N3WzoE+TC7U1caeJmI1cjCSEUp1KpygtCz6tr03qhwsC74YGK99Hj4mJHSmrOVYPseq4YTL90X1fJcfTXGcjXX5GDy/cvH7uS81wr8+ULCSocl6sz6/RXH6cqv3Kq+ltJpVLh4GBFVlZB5WP+NXQ+tUqFWs2lgeN/B6fV5fcvDT5f43VqVeXPaVS1u7T95SXDUlNzyv+/GkIZ0JDqy/ziMlLziknNKyIlp5j47EJiMwuIzSwkOqOAtLxr/9HuYWdBR18HOvk60snPUS6OFEKYFLVKhY+DFT4OVvQMdK7wXGmZ7tLfwoXEZRUQl1VEal4RybnFpOQUkZJbTH5JGXnFZeSlFxBFQSVnuTYrMzU25lqszTXYmGuwsdBibabBXKPGXKvCXPPvFj3mWjXmmoqPaa+4YE19xYVt6ssXqF1RI5TXFZdqByVcuYrP5Tuq/zyu4soX/fd5VaWPX76fpVeRmZF/qTZUXbH60PVXLVJfOkCFlZAqW4XoGsf573ZFstWQuKyqtWJUVBTPPfccn3zyCX379mXLli288MILbNmyBQ8PD4XSG0d+cSmxmQWk5BSTnFtE3KXZlHGZBcRlFZKUU2T4e+8/1CoIcLYmpJFh0LtDIwecrM1r/wsQQojrUKtUOFub42xtTjP3yl+n1+vJLykjs6CErIJSMgtKym9ZhaVkXXm/wDChJ7e4lLwiw4qFpTq94XWFpZWfpJq0ahVWZpoKdafh40v3L9WgFpces7exQFdaaqhVr3ztpc+/vKWkVv1v3aq9YmvJy89V2Ibyio+1GjXa8tf9+5zUVkIJJj8IHh0dzYEDB9ixYwdWVlb4+voyceJEPvzww3rZSflfer2eguIyMvKLKSjR/Z+9+w5r6mzDAH6HvTeCWxQBF4IiuPdeVeus27pXtVrFauuoo9W6cFtHnXWvOmr1q7Mq1oW4EFSWONiyQ5Lz/YFEIivMBLh/18WlOfPJk0N4znnPeV8kpUoRnyLFh+S0L9HY5FR8SE57SjIyQYw3H9KKzpy6DdbSEMGhnBHq2BqjQaW0C5tmBtrF+K6IiAjIcIFPXgOKPpsP6OtowkBHM9euuylNVg26RJ8rSfWlIAgQSwXEJIrxPi4FSalpvV4kpcrSTqY//sSlSOU9ZsQlSxCZmHa3emSCGAliaa77qWCii+pWhvIasbatMawMeXGSiEomLU0NVDJLGyMcMM9ymQSxBOFxYoQnpCAm/QJm4qeLltEf/00QS5EoliJBLEHqx3Eh0s7NxUDOvWRSKfD58D+Zhh2CYuM6MrzWkL9WHGZIoQEfn6al7w8Zl4XihOzmf35ROfNyImhqaUAmlUHIZn7G15m3k3n/Gd/H5zclfD7NQEcLO7/2QEmRl1rx+PHjcHNzQ/v27QEAXbt2xbFjx3Dw4EFMnTpVFeFnIpEJEGfoSU0sFeT/T68jM9aV8SlSxIs/DVMWlZiKiI83D+XGQFsT9taGcLBOqysdyhmhhqUBn/QmolJDJBLBUEcLhjpaqGiq/HoyQUDixx4v03u+jBdLkZDhuzdBLJG3ASWlpvV2mfZ/GZIl0k//T5UiOVUqH7JMIhMQlyIBUormPReWjL0aZnx4JOMNn+k3iIpEWT9oorhs2g2k2S2bsV4DFOucTDddfpqTofYD9HS1IRanZn2j5qeNfZr++X6yuFE0YyzZ1WCKy2ZdByosm8syWe0n87KflsmyBpZPyzy8pqGhLpISU+R7+rzuzboOFim1L4gy71tHS4RBVsaZE5EFtW8E9/f3h5mZmcLdkzVq1EBYWBg+fPgAExPlHg/88awfkj8Wa5mviStO+fyi+efLZ3VRPdO4oVm8TO+CVyKTQSpLuztdIlPspleSYRnxxy5/83sNX19bA+VN9FDeRA/VLQ1Q3coANawMYW9lCB2t0ttFRsYTT1JOic6Zwh8vxddFutuSnDMVYc7yjjnLO+Ys77LKWWnPX2HUl7NPPkGSEhcCAUAGKAzH8PmQDJ8P1SARBEikgvyCZWHcz6GvrQFrI11YGeqgvInux8YhPVQ214edpUGZH3uR3x1Fq9jzq6L6UJV4DOddeo9DdlYGuS4rEgGWlsZ48y5WfuEy4eNFy0SxFPEfG8rFUhlSpWnD9KRKPzY6ZZiW/loqS+sdR/Zx6B6ZIEAqS7s4mjYNH6elzZMJikPvqIK85yBk7LUIABSH+lGYl806wsfuhxRG7xF9GjYICut8NqxQxm1l6JGoqGQ/zFD6XFKGkW7JqjPyUisGBATAwcFBYX17e3s8e/Ysz/ud8+dThfpSyPBdIJV/J0BeM6bPk2T4v0wQIJGl1Z4Zv3MKi562BqwMdWBpqIOKpnqoZKb/8V89VDTTh6WBdpl+0o9/j5Wn9rlSk3pS7fOkRtQ9V5oiEYz1tGCsVzh/EwVBQKpUUGgwF0s//ny84enT/9OnC0iVyqClq42YD0nymjVFKkNqhrpVIhMglQoKbVeSDNcvJLK0axafX+OQyGQZ/kZljlkqAFLpxy4iiQrASFcLg5rVUGpZta9CExISoK+vrzAt/XViYqLSjeBXX0QiPqXwuphQBV0tDeh/HC/C3EAHZgbp45Zpw8xAG5aGOqhgpo+K5vqoaKYPU/2yXXhaWip3Jwh9UiJzpv/phg4rK2PAMPexpgtTicyZijFnecec5R1zlndlKWeFUV96B8cUe22ppSGC3scxwPS0NWCipw0TfS2Y6GnDOMP/TfS1YWWkAxsTPZQz1kU5E70Sd/FZVcrS74EqFFt+VVwfqhKP4aJV3iYPj/tQsUtvRP+8wVxxKKAslpHl0Niu0PD+2TJZDB+UcXmkD1eUcZnP/p+2VIZbCuTTPr0nxdfyJbNZXnG9LOdBcaXs5ucYS/pQRzJ8vBFBkOdElmEYpPRpGiXs0lReasWsltXT00NiYmKe93szMLrI60sdrbTucPW0NaGrpQFjPW0Y62nBRC+9ptT6NE1fGyZ6aXVlORM9WBvrwlBHs0xfa1QW/x4rT21zpWb1pNrmSQ0xV+pBJhOQ+rHRPFUqKDwQKlO4eevjjaDprz/eGCoV0pdDhhtDM9wkKgOkH+sPqcL/037Sa0DFGzIz1oSfZmS86TG7Gz8VaqtstpVxevrrjDIOIwlkVd9lX4elT8jLOtnVforLZF43Y72avkze6mHFm14/v5H10+vs10cON8IKgpCnHmbU/mqYgYEBkpIUx+dKf22Yhz8+01tXR6pUluMyWXc5kHlidt1D5TYxfQwFrc/HSshmDAVdLQ0Y6Giigo0pEj8k5mn8L0liCiIT1bz/iyKSfpd+ZCS7wlVWic5ZQgKsPv43IiIOSMr597ywlOicqQhzlnfMWd4xZ3mXVc7Sp5VWhVFfzulgL+8WNzci4NPYWRnGw9L87P9pdaCGfLqmCPIG7wo2pvgQk5CP41pAclwSkuPyul7Zwu+OolXs+VVRfahKPIaLFvNbtNQ1v/l68E/02b+ZZmQ5s8ipOsclrc00L7Wivr4+kpOTFaYlJyfn6Zplutnt7DNdu9RIrxU/du+qqSGClkgEDXm9+Kmm1BCl3TSpIfp0XTF9/FddrbSxXvNybTEjkUgGI10ttfs9VTeq/l0rSdQ+V2pST6p9ntQIc6UcVeZJ8+PPp2CQsU9xqKJGygmPKeWoIk95KWfUvhG8Zs2aiImJQUREBKys0v70vHjxAra2tjA2Vv7i7Bf1bEvkgSoSpT3anywSlcj4VSnjndWknBKZs4x3MAmKr4tl9yUxZyrGnOUdc5Z3zFnelaWcFUZ92cmpXLEW99qaGmXqM1IV5rhoFVt+VVwfqhKP4aLF/BYt5rfoMcfKyUut6ODggMePHytMCwgIQN26dfO83y61i76+LOj2eQwph3lSntrmSs3qSbXNkxpirpTDPCmPuVKOuuZJ7QeGrlatGho2bIilS5ciPj4eISEh2LhxI/r27avq0IiIiIioBGJ9SURERETZyUut2LNnT9y+fRtnz56FRCLB2bNncfv2bXzxxRcqiJyIiIiIMlL7RnAA8PLygkQiQbt27dC/f3+0aNECEydOVHVYRERERFRCsb4kIiIiouzkVCu6urri1KlTAIAaNWpgw4YN2LJlCxo1aoSNGzdi3bp1sLOzU2X4RERERIQS0B06AFhZWcHLy0vVYRARERFRKcH6koiIiIiyk1OteP/+fYXXLVq0QIsWLYojLCIiIiLKgxLxJDgREREREREREREREREREZEySsST4IVBJFJ1BPmTHndJjV8VmLO8K9E5E4kAY+OP/xUBxfQeSnTOVIQ5yzvmLO+Ys7zLKmfMX+6KM0c8rosec1y0ij2/KqoPVYnHcNFifosW81v0VJ1jfrbKUec8qfoYKimYJ+Wpfa7UpJ5U+zypEeZKOcyT8pgr5agiT3nZl0gQBKHoQiEiIiIiIiIiIiIiIiIiIio+7A6diIiIiIiIiIiIiIiIiIhKDTaCExERERERERERERERERFRqcFGcCIiIiIiIiIiIiIiIiIiKjXYCE5ERERERERERERERERERKUGG8GJiIiIiIiIiIiIiIiIiKjUYCM4ERERERERERERERERERGVGmwEJyIiIiIiIiIiIiIiIiKiUoON4EREREREREREREREREREVGqwEZyIiIiIiIiIiIiIiIiIiEoNNoIXg6SkJAwYMADHjh1TmP7q1SsMHz4crq6uaN68OTZv3qww/8qVK+jRowdcXFzQpUsXXLp0SWH+b7/9hpYtW8LFxQVDhw7Fy5cv5fMSExMxZ84ceHh4oGHDhpg1axYSEhKU3ndJFRkZiYkTJ8LNzQ0eHh5YsmQJJBKJqsMqElFRUejQoQO8vb3l03x8fNCvXz+4urqibdu2OHz4sMI6x48fR4cOHeDi4oI+ffrg/v378nlSqRS//PILmjZtCldXV0yYMAHv37+Xz88tt7ntW5WePXuGkSNHwt3dHc2aNcOsWbMQFRUFgDnLzs2bN9GvXz80aNAAzZo1w08//YTk5GQAzFlupFIphg4dCk9PT/k05ixrZ8+eRe3ateHq6ir/+e677wAwZ9mJiYnBrFmz4OHhgUaNGmHixIny98acqTfWg+qpLNWOecVas+iwNi1arGOLB2veosMamYqSj48PnJycFI6vwYMHy+ersjYt6cpSXamu31PqhLW0crLK0/z581G3bl2F4+vgwYPy+WUtTzx3UE5OeeIxpajMnS8JVKSeP38u9O7dW3BwcBCOHj0qny4Wi4WOHTsKK1asEFJSUoTHjx8LzZs3F86ePSsIgiC8evVKqFevnnDhwgUhNTVVOHPmjODs7Cy8fftWEARBOHbsmNCiRQvh+fPnQnJysrBs2TKhW7dugkwmEwRBEDw9PYXhw4cL0dHRQkREhDBkyBBhwYIFSu27JBsyZIgwY8YMITExUQgODha6desm/Pbbb6oOq9DduXNHaN++veDg4CDcunVLEARBiImJEdzd3YW9e/cKqampwo0bNwRXV1fBx8dHEARBuHXrluDq6ircuXNHEIvFws6dOwUPDw8hMTFREARBWLdundCjRw8hLCxMiIuLE6ZNmyaMGTNGvs+ccpvbvlUpKSlJaNasmbB27VohJSVFiIqKEsaMGSOMGzeOOctGZGSkUK9ePeHo0aOCVCoV3r17J3Tv3l1Yu3Ytc6aENWvWCE5OTsLs2bMFQeDvZk5+/vlnwdPTM9N05ix7Q4YMESZNmiTExsYKcXFxwuTJk4WxY8cyZ2qO9aD6Kiu1Y16x1iw6rE2LFuvY4sOat+iwRqaitGfPHmHIkCFZzlNlbVoalKW6Uh2/p9QJa2nlZJUnQRCE3r17C8eOHctynbKWJ547KCenPAkCj6mMyuL5EhvBi9CNGzeEJk2aCLt37xZat26tcNHz33//FVxcXISUlBT5tC1btgiDBw8WBEEQVq1aJYwcOVJhe19//bWwdu1aQRAEYeDAgcKmTZvk88RiseDq6ircvHlTSExMFOrUqSPcvXtXPv/BgweCs7OzkJiYmOu+S6rAwEDBwcFBXnwLgiCcOXNGaN26tQqjKnzHjh0TWrduLZw5c0ahSDh06JDQsWNHhWV//PFHYdasWYIgCMKMGTOEefPmKczv3LmzcOTIEUEQBKFly5bCqVOn5PPCw8MFR0dHITg4ONfc5rZvVXrx4oXw9ddfCxKJRD7t4sWLQoMGDZizHMTFxQmCIAgymUzw8/MTOnToIOzZs4c5y8WNGzeErl27ClOnTpVfEGTOsjd48GBh7969maYzZ1nz9fUV6tWrJ//9FARBiI6OFp4/f86cqTHWg+qrrNSOecVas2ixNi16rGOLHmveosUamYrSrFmzhJ9//jnLeaqsTUu6slZXquP3lLpgLa2c7PKUkpIi1KlTR3j+/HmW65W1PPHcQTk55YnHVGZl7XyJ3aEXQHJyMoKCgrL8SUxMhJOTEy5duoShQ4dCJBIprOvv7w87Ozvo6OjIp9nb2+PZs2cAgICAADg4OCisk9N8bW1tVKtWDc+ePUNQUBBSU1MV5teoUQPJyckIDAzMdd8llb+/P8zMzGBjYyOfVqNGDYSFheHDhw8qjKxwNW/eHBcuXEDXrl0Vpvv7++fpmMk4Py4uDm/fvlWYb2VlBVNTU/j5+eWa29z2rUrVq1fHtm3boKmpKZ92/vx51KlThznLgZGREQCgVatW6NGjB6ytrdGnTx/mLAeRkZGYO3cuVq5cCX19ffl05ixrMpkMjx8/xuXLl9GmTRu0bNkSP/zwA2JjY5mzbDx8+BD29vY4dOgQOnTogObNm+OXX36BtbU1c6ZCrAdLrrJSO+YVa82ixdq06LGOLVqseYsWa2QqqNxqU19fXzx+/BgdO3ZE06ZNMW3aNLx9+xaAamvTkq4s1ZXq+j2lLlhLKye7PD179gwSiQReXl5o2rQpOnXqhK1bt0ImkwEoe3niuYNycsoTj6nMytr5klaBt1CG+fj4YNiwYVnO27BhA9q3b5/tugkJCQonjACgr6+PxMTEbOfr6ekpNT8+Ph4AYGBgoLDt9PVy23dJld37AtLGHTIxMVFFWIXO2to6y+kFOWbSx2DKeMykz0+fl1Nuc9u3uhAEAWvWrMGlS5ewd+9e7N69mznLxd9//43Y2FjMnDkTU6dOhY2NDXOWBZlMhu+++w4jR46Ek5OTwjz+bmYtKioKtWvXRqdOneDl5YXo6GjMnj0b3333HaytrZmzLMTGxsLPzw9169bF8ePHkZycjFmzZmH27NmwsrJizlSE9WDJVVZqx7xirVl8WJsWLdaxhY81b9FjjUwFlVNt6uXlhXLlyqFp06YYNGgQUlNT8dNPP2Hs2LE4fvy4SmvTkq4s1ZXq+j2lLjlmLa2c7PIUFxcHd3d3DB06FKtWrcLTp08xadIkaGhoYPTo0WUuTxnx3EE5n+cpIiKCx1Q2ysr5EhvBC8DDwwN+fn75WtfAwABJSUkK05KSkmBoaAgg7QBIH4w+XXJyslLz0w+0jNtL35eRkVGu+y6psntfAEr8e1OGvr4+4uLiFKYpc8yYm5vLv2A+z1/6+oIg5Jjb3PatDuLj4zFnzhw8fvwYe/fuhaOjI3OmBD09Pejp6eG7775Dv379MHToUOYsC1u2bIGOjg6GDh2aaR6Ps6xZWVlh37598tf6+vr47rvv0L9/f/Tp0ydffwNLe87Sn8iYO3cudHV1YWRkhGnTpjFnKsZ6sOQq67VjXvHvWeFibVr0WMcWPta8RY81MhVUbrVpp06dFF7/8MMPaNKkCV68eKHS2rSkK0t1pbp+T6k7/p1UTrNmzdCsWTP5a2dnZwwfPhxnz57F6NGjy2yeeO6gnKzy5OjoyGMqG2XlfIndoatIzZo1ERgYCIlEIp8WEBCAmjVrAgAcHBzg7++vsE7G+TVr1lSYn5qaisDAQDg4OMDOzg7a2toICAiQz3/x4oW8G6Lc9l1S1axZEzExMYiIiJBPe/HiBWxtbWFsbKzCyIpHXo+ZjPNNTU1hY2OjcMyEh4cjJiYGDg4OueY2t32rWnBwML788kvEx8fjyJEjcHR0BMCcZefevXvo3LkzxGKxfJpYLIa2tjbs7e2ZsyycPHkSt2/fhpubG9zc3HD69GmcPn0abm5uPM6y8ezZM/z6668QBEE+TSwWQ0NDA87OzsxZFuzt7SGTyZCamiqflt59U61atZizEoj1oGqV9doxr/j3rPCwNi06rGOLFmveoscamYrSmzdvsGzZMoUnr9O/L/X09FRam5Z0ZamuVNfvKXXHv5PKuXjxIg4cOKAwTSwWQ09PD0DZzBPPHZSTXZ54TCkqk+dLBR5VnJTSpk0b4ejRo/LXqampQtu2bYWff/5ZSE5OFp4+fSo0b95cvkxAQIBQr1494cyZM0Jqaqpw5swZoV69esLLly8FQUgbKL5FixbC06dPheTkZGHZsmVChw4dBLFYLAiCIMycOVMYMmSIEBkZKURGRgpDhgwRZs+erdS+S7JBgwYJ06dPF+Li4oTg4GChW7dugpeXl6rDKjIODg7CrVu3BEEQhKioKMHNzU3YuXOnIBaLhZs3bwqurq7CzZs3BUEQhBs3bshfi8ViYefOnUKjRo2E6OhoQRAEYfXq1UL37t2F4OBgIS4uTpg2bZowZMgQ+b5yym1u+1almJgYoXXr1oKnp6cglUoV5jFnWYuPjxdatWolLF26VEhJSRFCQ0OFvn37CvPnz2fOlDR79mz5dy5zlrU3b94ILi4uwtatW4XU1FTh9evXQv/+/YXvv/+eOcuGWCwWOnToIEyZMkWIj48XIiMjhWHDhgmTJk1izkoI1oPqp6zVjnnFWrPwsTYtWqxjixdr3sLHGpmKUlJSktCsWTPhp59+EpKTk4XIyEhh/PjxwvDhwwVBUG1tWhqUlbpSXb+n1BFraeVkzNPff/8tODs7Czdu3BBkMplw7949wcPDQzhx4oQgCGUvTzx3UE5OeeIxpagsni+xEbyYfH7RUxAEITAwUBg1apTQsGFDoUWLFsKWLVsU5l+9elXo2bOn4OLiInTr1k24fPmyfJ5MJhO2b98utG3bVnBxcRGGDh0qLzoFQRDi4uKEefPmCU2bNhUaNWokeHp6CgkJCUrvu6QKDw8XpkyZIri7uwuNGzcWfv75Z0Eikag6rCKTsUgQBEF4+PChMGDAAMHV1VVo165dpmPuxIkTQqdOnQQXFxehb9++woMHD+TzxGKxsGLFCqFFixZCgwYNhAkTJggRERHy+bnlNrd9q8qOHTsEBwcHoX79+oKLi4vCjyAwZ9nx9/cXRo4cKbi5uQlt2rQRVq1aJaSkpAiCwJwpI+MFQUFgzrLj7e0tj61x48byizGCwJxl5+3bt8K0adOEZs2aCW5ubsKsWbOE2NhYQRCYs5KA9aD6KWu1Y16x1ix8rE2LHuvY4sOat2iwRqai9PTpU2HEiBGCm5ub4ObmJsycOVN+8VoQVFublnRlqa5U1+8pdcNaWjmf5+mPP/4QOnbsKNSvX19o166dsHfvXoXly1KeeO6gnNzyxGNKUVk7XxIJQoa+S4iIiIiIiIiIiIiIiIiIiEowjglORERERERERERERERERESlBhvBiYiIiIiIiIiIiIiIiIio1GAjOBERERERERERERERERERlRpsBCciIiIiIiIiIiIiIiIiolKDjeBERERERERERERERERERFRqsBGciIiIiIiIiIiIiIiIiIhKDTaCExERERERERERERERERFRqcFGcCJSqX379sHR0RG///67qkORa9u2LY4dO5blPJlMht9++w1du3aFq6srGjVqhK+//hr3798vlO0Xps2bN2P06NH5WnfdunUYOnRolvMcHR3h7e0tf3306FH07t0brq6uaNiwIb766itcvnxZPt/b2xuOjo5wdXWFq6sr6tevD3d3d4wfPx7+/v75io+IiIgoO6wviw7rSyIiIiprWFsWHdaWRFTU2AhORCq1b98+DBo0CLt374ZEIlF1OLnaunUrjh8/Di8vL9y7dw9Xr15F48aNMXz4cAQFBak6PAXjx4/Htm3binQff/75J1atWoX58+fj7t27uHnzJvr374/Jkyfjv//+U1j2/v37uH//Pnx8fHDu3DlUqFABgwYNwsuXL4s0RiIiIipbWF8WHdaXREREVNawtiw6rC2JqKixEZyIVObmzZuIjIyEp6cnZDIZzp8/L5/Xtm1bbNmyBb169YKrqyt69eqFW7duAQBCQ0Ph6OiIw4cPo23btmjYsCFGjhyJt2/fAgCOHTuGtm3bKuxr6NChWLduHQAgPj4e8+bNQ8eOHeHi4oIWLVpg8+bNSsV89+5duLm5wd7eHiKRCPr6+hgzZgz69++PiIiIPG//3bt3mDZtGtq2bYv69eujXbt2OHLkiHy+o6MjFi9eDA8PD4wfPx5dunTJtK0ePXoorJMu4x2Rx44dw6BBg7B48WI0btwYTZo0wdy5c5GamqrU+84pH05OTnBxcYGGhgZ0dHTQq1cvTJgwAbGxsdmuZ2lpiR9//BH29vbYsGFDgWIgIiIiSsf6kvUl60siIiIqLKwtWVuytiQq2dgITkQqs2fPHvTv3x96enr46quvsGPHDoX5R48exdq1a3Hjxg04OTlhwYIFCvMvX76MEydO4Pz584iIiMDGjRuV2u+vv/6K0NBQHDlyBPfv38e8efOwevVqpe6G7NatG44cOYKpU6fi8OHD8PPzg0wmw7x589CwYcM8b3/evHnQ1tbGmTNncO/ePQwZMgQ//fQTEhIS5MsEBwfj8uXLWL58Ofr06YOTJ0/K5z169AihoaHo0qVLrrHfu3cPlpaWuHbtGrZs2YKzZ8/i77//ViZl2erUqRNu3bqFr7/+Gnv37oWvry9SU1MxadIktG/fPtf127RpIz9BICIiIioo1pesL1lfEhERUWFhbcnakrUlUcnGRnAiUonXr1/j2rVrGDx4MACgf//+CAgIwO3bt+XL9O3bF1WrVoW+vj569OiBwMBAhW2MGTMGJiYmsLKyQtu2bTPNz86UKVOwZs0aGBkZ4e3bt9DV1QUAvH//Ptd1e/Xqhd27d0NPTw/r169Hz5490aRJE6xatUreJVJetr948WLMnz8f2traCAsLg6GhIZKTkxXuROzevTv09fVhYmKCXr16ITg4GL6+vgCAEydOoHPnzjA0NMw1dj09PYwfPx7a2tpwdnaGo6MjXr16lXvCctCkSRMcPXoUFStWxK5du9C3b1+4u7tj/vz5CsVwdszNzRETE1OgGIiIiIgA1pfpWF+yviQiIqKCY22ZhrUla0uikkxL1QEQUdm0f/9+SCQSfPHFF/JpEokEO3bsgLu7OwDAyspKPk9LSwuCIChsI7f52YmMjMSSJUvw5MkTVKpUCXXr1gUAyGQypdZ3c3ODm5sbgLQugS5fvowVK1ZAQ0MD06ZNy9P2Q0JCsHz5cgQGBqJatWqoWrVqpmXLlSsn/7+1tTVatGiBkydPwsnJCadPn5Z3lZQbS0tLiEQi+Wttbe1sc6arq5vlOEfp09KLYwBwcnLCokWLAABRUVG4ceMGVqxYgcTERKxYsSLHmCIjI2FhYaFU/EREREQ5YX2ZhvUl60siIiIqONaWaVhbsrYkKsnYCE5ExS4lJQVHjhzBkiVL0LRpU/n058+fY+zYsXjx4kWBtq+hoQGxWKwwLTo6Wv7/b775Bm3btsX27duhpaWF6OhoHDp0KNftJiQkoFmzZli9ejXatGkDALCxscGAAQPw6tUrPH36NE/bT01Nxbhx4/Dtt9/iq6++gkgkwqNHj3Dq1CmF5TIWfwDw5ZdfYuHChWjWrBmMjY3RqFEj5RKTB7a2tggLC8s0Pb1bpPLlywMAWrdujTFjxsjvirWwsED37t0RHR2NgwcP5rqfS5cuKRwDRERERPnB+jIN60vWl0RERFRwrC3TsLZkbUlU0rE7dCIqdn/++SdEIhF69OgBW1tb+U/Lli3h4OCA33//vUDbr1GjBiIiInDr1i0IgoCTJ08qFKdxcXHQ09ODpqYmoqKisHjxYgBphV1ODA0N0a5dOyxfvhze3t5ITEyEWCzG3bt3cf78eXTs2DFP209NTUVycjL09PQgEokQFhYmv/swp1hat24NqVQKLy8v9OnTJ+8JUkLLli2RkpKC1atXIz4+HoIgIDg4GMuWLUPz5s1hY2MDAOjZsyc2bdqES5cuIS4uDhKJBM+ePcORI0fk+chKeHg4FixYgODgYEyePLlI3gMRERGVHawvIX/N+pL1JRERERUMa0vIX7O2ZG1JVJLxSXAiKnb79+9Hjx49oK2tnWnegAED8Msvv2S6gzAv6tWrhwkTJsDT0xMJCQlo3749OnXqJJ+/bNkyLF26FDt27ICpqSm6du2K2rVr4/nz52jevHmO2162bBm2bduGxYsXIzQ0FABQvXp1TJs2Td49krLbNzAwwNKlS7F27VosXrwYlpaW8vGFnj9/Djs7uyxj0NbWRs+ePbF7925s2rQp33nKiZmZGXbv3o3Vq1ejffv2SE5OhpmZGdq3b49p06bJl5s+fTrKlSuHdevW4dWrVxAEAZUqVULfvn0xfPhwhW26uroCSLs71NjYGO7u7jh48CAqV65cJO+BiIiIyg7Wl2lYX7K+JCIiooJjbZmGtSVrS6KSTiQoOxAFERGpjd27d+Pq1avYtm2bqkMhIiIiolKA9SURERERFRbWlkSkDtgdOhFRCRIeHo6HDx9i165dGDRokKrDISIiIqISjvUlERERERUW1pZEpE7YCE5EVIJcvnwZQ4cORbNmzdCuXTtVh0NEREREJRzrSyIiIiIqLKwtiUidsDt0IiIiIiIiIiIiIiIiIiIqNfgkOBERERERERERERERERERlRpsBCciIiIiIiIiIiIiIiIiolKDjeBERERERERERERERERERFRqsBGciIiIiIiIiIiIiIiIiIhKDTaCExERERERERERERERERFRqcFGcCIiIiIiIiIiIiIiIiIiKjXYCE5ERERERERERERERERERKUGG8GJiIiIiIiIiIiIiIiIiKjUYCM4ERERERERERERERERERGVGmwEJyIiIiIiIiIiIiIiIiKiUoON4EREREREREREREREREREVGqwEZyIiIiIiIiIiIiIiIiIiEoNNoITEREREREREREREREREVGpwUZwIiIiIiIiIiIiIiIiIiIqNdgITkSkpgRBKNP7JyIiIqL8UXUdp+r9ExEREZV1qq7HVL1/dcbcEBUfNoITqaFZs2bB0dERW7duVXUoSvH09ETbtm1zXe7YsWMYOHAgGjRogPr166Nbt25YvXo14uPj87zPtm3bwtPTMz/hFlhoaCgcHR0VfurWrYumTZtiwoQJuH//vsLy3t7ecHR0hLe3t1LbF4vFWLZsGf78889cl3V0dMS6devytZ+cBAQEYNCgQdnuqyil5/fYsWMF2s6xY8cyfU7Ozs7o0qULNm/eDKlUWkgR5+zz95MeV2hoaLHsn4iIyhbWkbljHZmGdWT2sqoja9WqhUaNGmHUqFG4e/euSuJSFutNIqKyjfVg7lgPpmE9mL30emrJkiVZzl+3bh0cHR3ztM2sPhtlj//8yk+cBTF06FAMHTq02PZHlBstVQdARIri4+Px999/w8HBAYcOHcKYMWMgEolUHVaBrV+/Hps3b8aIESMwYcIEaGtr49GjR9i2bRuuX7+OAwcOQFtbW9Vh5smECRPQunVrAEBKSgrevn2LXbt2YfDgwfDy8kL79u0BAHXq1MHBgwdhb2+v1Hbfv3+P33//HcuWLct12YMHD8LW1jbf7yE7586dy1R0F9W+PleuXDkcPHgQVapUKZTtrV+/HtbW1hAEAUlJSbh37x68vLyQnJyMadOmFco+clLY74eIiCg7rCNLDtaRRaOo6kgAkMlkiIiIwIYNGzB8+HAcOXIETk5OhbIfIiKiwsJ6sORgPVg0Crse3LNnDzp16gQ3N7cCbysvnw0RFQ42ghOpmTNnzkAqlWLevHkYNmwYrl+/jhYtWqg6rAIRi8X47bffMGrUKHz77bfy6U2bNkX16tUxadIkXLx4EV26dFFhlHlXpUoVuLi4KEzr0qULvvrqK8ydOxeNGzeGkZERjIyMMi1XWIpqu6rcl46OTqHuq1atWqhUqZL8ddOmTRESEoIDBw4USyN4Yb8fIiKi7LCOLDlYRxaNoq4jAaB27dro0KED9u/fj0WLFhXavoiIiAoD68GSg/Vg0SjsetDY2Bjff/89Tp06BT09vULbLhEVD3aHTqRmjh49Cg8PD3h4eMDOzg4HDhxQmD906FDMnTsXW7duRevWrVGvXj0MHDgQPj4+8mXWrVuHDh064PLly+jRowfq1q2LTp064fjx4/Jlsuvi5vMuS5KTk7Fy5Up07NgRdevWRYMGDTBy5Eg8ffpU6fcUHx+P5OTkLMc7adWqFaZPn47KlSvLp4WGhmLWrFlo3rw56tSpgyZNmmDWrFmIjo7Odh/KrNO2bVssXboUw4cPR4MGDTB37lw0b94cM2bMyLS9Ll26YM6cOUq/x3Q6OjqYMmUKYmJicO7cOQCZc52SkoKFCxeiZcuWqFu3Ljp37owdO3bI30e7du0AAHPmzJF3h+Pp6Ynhw4dj/vz5cHNzQ+/evSGRSLLsSiggIABfffUV6tWrhw4dOmDPnj0K87NaJ2PXOOvWrcP69eszLfv5eu/fv8ecOXPQqlUrODs7o2/fvvjf//6XaV/79u3D3Llz4e7uDldXV0ydOhURERHZ5jCr7sNr164NHx8fDBgwAPXq1UPr1q3x22+/5fhZ5MTU1FThTuj0fRw+fBjNmzdHy5Yt4e/vD6lUiq1bt6J79+5wdnaGi4sLBg4ciJs3byq8x+x+QkNDi737SyIiKrtYR7KOZB1Z9HVkpUqVYG5ujrCwMPm0wMBATJ06Fc2aNYOLiwuGDh2aa5fp//33H77++ms0atQIdevWRdu2bbFu3TrIZDKF93Lu3DlMnToVrq6uaNSoEebOnYuEhAT5dmQyGTZu3IjWrVujfv36mDhxImJjY/P9/oiIqGRjPch6kPVg4daDs2fPRnBwMFatWpXrss+fP8e4cePQoEEDNGjQAJMmTUJISIg8rqw+m3THjh1Dp06dUK9ePfTs2RNXr15VmB8WFoZvv/0W7u7uqF+/PoYPH44nT55ket87d+5Ely5d4O7unuW1SGWudSrzHZAe0+TJk9GwYUM0a9YMO3fuzLS/x48fY/jw4WjYsCFcXV0xYsQIhe8boqLGRnAiNfLixQv4+Pigd+/eAIA+ffrg0qVLePfuncJy58+fx//+9z/MmzcPq1atQkREBKZOnaowxnF4eDgWLVqEYcOGYevWrahUqRI8PT3x4sWLPMU0a9YsHDlyBGPHjsWOHTvg6emJ58+fY/r06VkWn1mxsLBA/fr1sX37dsyePRsXL15EVFQUAEBbWxvjx49H3bp1AQBJSUkYNmwYXrx4gfnz52P79u0YMmQITp8+nW2xkZd19u3bJy+6+vTpg169euHixYsK4wf5+Pjg5cuX6NOnT55yla5Zs2bQ0NDAvXv3spy/ZMkSXLlyBbNnz8b27dvRrl07/PLLLzh27BjKlSsnLxQnTJgg/z8A3LlzB0FBQVi3bh0mTZoELa2sO/NYtmwZ6tevj40bN6JFixZYvHgxDh06pHT8/fr1Q9++fQGkdVXUr1+/TMtERESgb9++uH37NqZPn45169ahYsWKmDRpEk6dOqWw7OrVqyGTybBq1SrMmjULly9fxtKlS5WOB0i7uDdt2jR07doVW7duRcOGDfHrr7/i2rVrSq0rkUggkUgQHx+Pq1ev4uTJkxg8eLDCclKpFJs3b8bixYsxbdo02Nvb49dff8WGDRswYMAAbNu2DYsWLUJ0dDS++eYbJCYmynOU8cfLyws6Ojpo0aIFypcvn6f3SURElF+sI1lHso7MWkHqyKxER0cjOjpa3sVmQEAA+vTpg5CQEMybNw+//vorRCIRhg8fjtu3b2e5jWfPnmHEiBEwMzPD6tWrsWnTJjRo0ADr16/HmTNnFJadP38+KlasiI0bN2L06NE4evQoNm/eLJ+/YsUKbNiwAV9++SXWr18Pc3NzrFy5Ml/vjYiISjbWg6wHWQ9mrSD1YOPGjTFgwADs2bMHd+7cyXa5V69eYeDAgYiMjMTPP/+MJUuWICQkBIMGDUJkZGSOn82bN2+wdetWfPPNN/Dy8oIgCJgyZQoiIyMBAFFRURg4cCAeP36MH374AStXroRMJsPgwYMz/U6uXr0aX3/9NRYvXozGjRtnilOZa51A7t8BiYmJGDJkCJ49e4ZFixbhxx9/xOHDhxW6wY+Pj8fo0aNhbm4OLy8vrF69GklJSfj6668RFxeXa+6JCgO7QydSI0eOHIGJiYl8zJdevXphzZo1OHz4MCZPnixfTiKRYPv27TAyMgIAJCQkYPbs2Xj69KlC0bdkyRI0adIEAFCtWjW0adMGV65cQY0aNZSKRywWIyEhAT/88AO6du0KAHB3d0dCQgJ+/vlnhIeHo1y5ckpty8vLC9999x1OnDiBEydOQCQSoWbNmmjfvj1GjBgBU1NTAGlPUdja2uLnn3+WX1hq3LgxfH19s72IlJd1ypUrB09PT2hopN0DZGFhgd9++w3nz5/Hl19+CQA4fvw4qlSpku+xXrS0tGBmZobw8PAs59++fRtNmzZFt27dAAAeHh4wMDCAubk5dHR0UKtWLQBp3SLVrl1bvp5EIsHChQtRtWrVHPffp08fzJ49GwDQokULvHv3Dhs2bEDfvn3l7zsntra28jF6sus+aOfOnYiKisK5c+fkd9u2atUKI0aMwPLly9G9e3f5vhwcHBTGunn48CH++uuvXOPISBAETJw4UV44N2zYEBcuXMDly5dz7darQ4cOmabVq1cPw4cPzzR9/Pjx8vGYgLS7UqdPn65wF7Oenh6mTJkCPz8/uLq6KuQoOTkZixYtQoUKFbBq1Spoamrm6X0SERHlF+tI1pGsI7NWkDoy/WZKIO2pq6CgIKxYsQIaGhoYMGAAgLQxSrW1tbF7924YGxsDAFq3bo3u3btjxYoVOHz4cKbtPnv2DE2bNpVvC0i74H358mX8999/6NGjh3zZVq1ayT+TJk2a4N9//8Xly5cxY8YMfPjwAXv27MGwYcMwZcoUAJ8+t/w28hMRUcnFepD1IOvBrBWkHgTSbua4du0a5s6di5MnT2bZLfr69euhp6eH33//Xf671aRJE7Rv3x7btm3D7Nmzs/1sZDIZNmzYIP/d0tXVxciRI/HgwQO0a9cOu3btQkxMDP744w9UrFgRANCyZUt07doVa9euhZeXl3xbHTt2lN+EkBVlrnUCuX8HHD9+HGFhYTh58qS8FwBnZ2eF67ABAQGIiorC0KFD0bBhQwBA9erVceDAAcTHx8trZ6KixEZwIjUhkUhw6tQptG/fHikpKUhJSYGenh48PDxw+PBhTJgwQd6gZm9vL/9jCgA2NjYA0v44ZZSx0EgvPjLe0ZUbHR0dbN++HUDaH8igoCC8fPkSly5dAgCkpqYqvS1bW1vs2bMHAQEBuHr1Kry9vfHff/9h48aNOHToEPbt24dq1aqhVq1a2L9/P2QyGUJCQhAYGAh/f3+8fPlSfgHqc3lZp0aNGgoFm52dHRo2bIiTJ0/iyy+/hFgsxtmzZzF8+HCF7rLzI7v1PTw8cODAAbx79w5t2rRBq1atMGnSpFy3p6enJy/Gc5J+YpGuQ4cOuHjxIl6+fAl7e3vlgs/F7du34erqqtDdFAD07NkTc+bMUdjX5wWvra1tpmNVGelFGJB2bFpYWCh1PG/atAnW1tYA0i5e+vv7Y9OmTRg4cCAOHjyo8Lvk4OCgsG76UzRRUVEICgrCq1ev8M8//wDI+vifM2cOgoODcfDgQZiYmOT5PRIREeUH60jWkblhHZm/OjKrmykrVqyIFStWyC/23b59G23atFG4iKelpYVu3bphw4YNCl2Xp+vVqxd69eqFlJQUBAcHIygoCI8fP4ZUKs30u5FVDl6/fg0AePDgAVJTU+Vda6br0qULG8GJiMoY1oOsB3PDejB/9SAAGBoaYsmSJRgxYgRWr16dZVf3t27dgoeHB/T09OTHjZGREdzc3HDjxo0ct29ubq5wc0l6XtKflr558yZq1aoFGxsb+bY1NDTQsmXLTE/Of35t83N5udaZ03fAnTt3ULlyZXlNDADly5dXWKdmzZqwsLDAhAkT0KVLF7Rq1Uo+1ABRcSmTjeBRUVEYMGAAFi9eDA8Pj0LZ5ujRo+Ht7a3QjcjatWvRsmXLQtk+lX6XL19GREQEjh07luV4HZcuXZLfyamvr68wL734Sh8/Ll3G5dKXUbaroXTXrl3D0qVL8fLlSxgaGsLR0RGGhob52haQVmjb29tj1KhRSE1NxbFjx7Bo0SKsWrVKftfazp07sWXLFkRHR8PKygp16tSBvr5+jt2kKLuOlZVVpnX79u2L77//HmFhYfDx8cGHDx/kXUflR3JyMmJjY+XFwefmzp0LW1tbnDp1CgsXLgSQVoj9+OOPCncBfs7S0lKpAjq9wTfjegAKdWzA2NhYVKpUKdP09Px++PBBPi2r4zU/x87nd1kqux0HBweFWN3c3ODg4ICvvvoKhw8fxsiRI+Xz0nOVztfXFwsXLoSvry/09PRgb28vv+Py831v3LgRf/31FzZv3qz0XdFEVDqwtiRVYx3JOpJ1ZM7yW0dmvJlSW1sb5ubm8oaCdLGxsVkeG1ZWVhAEQaF71HTJycn46aefcPLkSUgkElSqVAmurq7Q0tLKFFdOOUj/XCwsLBSW+fxzJKKSpShqy9u3b2PFihUICAiAiYkJvvrqK4wbN65Qtk3qgfUg60HWgznLbz2YrkmTJhgwYAB2796NTp06ZZofExODs2fP4uzZs5nmfV6rfc7AwEDhdfrnlP47GRMTg6CgINSpUyfL9TPeFJDVMZpRXq515vQdEBsbm+X7sra2lo/ZbmhoiH379mHTpk04e/YsDhw4AH19ffTs2RNz586Frq5ujrESFYYy1wh+9+5deHp6Ijg4uFC3++jRI2zfvh3u7u6Ful0qO44cOYKKFSsqdO+SburUqThw4IC8WC0Mn/8xTZeQkCAvRoODgzFp0iS0a9cOW7Zskd8tuG/fvjw9WbBr1y5s2rQJly5dUvjjqa2tjQEDBuDKlSsICAgAAPz555/4+eefMWPGDPTt21f+x/Sbb76Br69vltvPzzoZde7cGYsXL8b58+dx//59NGnSBBUqVFD6/X3O29sbUqkUjRo1ynK+jo4OJkyYgAkTJiAsLAyXLl3Cxo0bMWPGDJw7dy7f+033eVGaXnhkbODNOM4TkLc7eQHA1NRUvt2M0rtqMjc3z9P2ilt690OBgYHZLpM+bo2joyNOnz4tv9v3ypUrOH/+vMKyFy9ehJeXF2bMmIFWrVoVZehEpGZYW5I6YB3JOpJ1ZNH4/GbKrCjzft6/f68wb8mSJTh//jzWrFmDpk2byi98pnc3qaz0XEVGRqJ69ery6TExMXnaDhGpj6KoLV+8eIGxY8di/vz56NWrF/z8/DB8+HBUrVoVnTt3LrT9kGqxHmQ9yHqw6KV3iz5nzpxMv0/GxsZo2rSpwsM26bIbf11ZxsbGcHd3z/YJah0dHaW2k5drnbkxNzdHUFBQpumf16HVq1fHihUrIJVK8fDhQ5w8eRJ//PEHKlWqhLFjx+Zpn0T5kfsgDqXI8ePHMXPmTEyfPj3TvBs3bqBv375wc3NDt27dMnUjkZOQkBDExsbmeKcVUU4iIiJw7do1dOvWDR4eHpl+unbtin///RchISGFts/0bo/evHkjnxYbG4sXL17IXz969AgpKSkYN26cQnc56YWqsnfL2dvbIzo6Gnv27Mk0TyqVIiQkRN5Vy927d2FsbIyxY8fKi86EhATcvXs3U2GdLj/rZGRgYICuXbvi9OnTuHbtWoHu1pRIJNi0aROsrKyy7D4xOTkZnTp1wo4dOwAAFSpUwODBg9GtWze8ffsWAAo8jvTnJxJnzpxB+fLl5WP+GBkZyfeV7t69ewqvcxvjp1GjRrh//36mY/LUqVOwtrbOdXwhVXvw4AGAtPFssvPy5UvExMRg2LBhqFmzpjwnV69eBfDpRM/Pzw/fffcdunXrhjFjxhRp3ESkXlhbkjpgHck6knWkajVq1AiXLl1SeFJMKpXizJkzqFevXpYXJe/evQsPDw+0b99e3gD+6NEjREVFKXXcpXN1dYWenl6mcTHTu5klopKlqGrL/fv3o127dujduzdEIhGcnJxw4MAB+fisVPKxHmQ9yHqweBgZGWHx4sUIDAzEwYMHFea5u7sjICAAtWrVQr169VCvXj3UrVsXv//+Oy5cuAAg/5+Nu7s7Xr16BTs7O/m269Wrh1OnTuHw4cNKb1fZa53KaNy4MUJDQxVuFImKipJfcwWAv/76C40bN0Z4eDg0NTXh6uqKBQsWwMTEJNMxRFRUytST4M2bN0ePHj2gpaWlUFA+e/YMEyZMwIoVK9CuXTv4+Phg4sSJMDc3R4sWLfDu3TskJydn2p6Ojg7Kly8PX19fGBoaYvr06fD19YWVlRVGjBiBvn37FufboxLs+PHjkEgk6NatW5bze/fujf379+PQoUOFtk9HR0eUL18e69evh7GxMTQ0NLB161aFOyrr1KkDLS0trFixAqNGjYJYLMaxY8dw+fJlAMrf5desWTN0794dq1atgp+fHzp16gQLCwu8ffsWBw4cwNu3b7FmzRoAgLOzM/744w/8/PPPaNOmDd6/f4/t27cjIiICpqamWW4/P+t8rm/fvhgwYACMjIzQsWNHpdYJDg6W/2FPTU1FaGgoDhw4gMePH2PDhg2ZuusB0rreqVOnDtavXw9tbW04Ojri1atXOH78uLwrnfTxBG/evIkaNWqgfv36SsWTbs+ePTA0NETt2rVx5swZXLt2DcuXL5ffpdu6dWucOXMGzs7OsLOzw/HjxzPduZc+nvXp06dRv379TGP0jBw5EqdOncLIkSMxefJkmJub48SJE7h16xaWLl2aa7FbnJ4+fSq/u1QQBLx48QJeXl6wtrbO8cTEzs4ORkZG2Lx5M7S0tKClpYXz58/jyJEjANK6GoqJicGECRNgbW2N4cOHw8fHR+EkTpmxloio5GJtSeqAdSTrSNaRqjV58mRcvXoVw4YNw9ixY6Gjo4O9e/ciJCQE27Zty3IdZ2dnnDt3Dn/88Qdq1KiBZ8+eYdOmTRCJRHka49LQ0BATJ07EmjVroK+vj8aNG+PKlStsBCcqoYqqtnz48CGaNm2Kb7/9Fv/++y8sLCwwYsQIDBgwoDjfHhUh1oOsB1kPFp9mzZqhX79+OHz4sML0iRMnYuDAgRg3bhwGDRoEXV1dHDx4UN57JJD/z2bEiBE4efIkRowYgVGjRsHc3Bxnz57FoUOHshyfPDvKXOtU1hdffIHdu3dj8uTJmD59OoyMjLBp0yaFhvQGDRpAJpNh0qRJGDt2LAwNDXHu3DnExcUp/XtCVFBlqhE8u3GxDhw4gHbt2sl/8Ro0aID+/ftj3759aNGiBWbOnInbt29nWs/JyQknT56EWCyGi4sLpk+fjpo1a8Lb2xtTpkyBoaEhunTpUqTviUqH48ePo2bNmnBycspyvrOzM6pXr46jR4+iSpUq0NbWLvA+NTU14eXlhaVLl+Lbb7+FlZUVhg8fjpcvX+LVq1cAgKpVq2LlypVYv349JkyYAFNTU7i4uGDPnj0YOnQo7ty5A0dHR6X2t2LFCnh4eODkyZOYN28eEhMTYWFhgWbNmmHZsmXyYqh3794IDQ3F0aNHsX//ftjY2KBVq1b46quv8MMPPyAgIAD29vYK287POp9zcXGBubk5OnbsmGmMmOxs2rQJmzZtAgDo6urCxsYGbm5uWLhwYbafJQAsWrQIa9aswY4dOxAeHg5LS0v07dsX33zzDYC0uwpHjhyJgwcP4vLly/j333+Viifj9nfs2IE1a9agcuXKWLVqlcKJ0Jw5cyCRSLBixQpoaWmha9eumDFjBubNmydfpmPHjjh58iQ8PT3Rt29fLFiwQGEf1tbW+OOPP7By5UosWbIEqampcHJywsaNG9GuXbs8xVvUJk+eLP+/lpYWzM3N4eHhgW+++QZmZmbZrmdsbIyNGzdi+fLl+Oabb2BoaIhatWph7969GDNmDO7cuQNDQ0O8fv0aANCvX79M21i2bBm7MiYqxVhbkjpgHck6knWkatWsWRP79+/HqlWr8P3330MkEsHZ2Rm7d++Gm5tblut4enoiNTUVa9asgVgsRqVKlTBhwgQEBATgn3/+ydTFaE7GjRsHAwMD7Nq1C7t27YKrqytmz56dKe9EpP6KqraMjY3F7t27sXr1aixfvhz379/HuHHjYGpqyu7QSwnWg6wHWQ8WL09PT1y/fl2hJwQnJyfs27cPq1evxqxZsyAIAhwcHLBhwwb5e8rvZ2NjY4MDBw5g5cqVWLBgAVJSUlCtWjUsWbIkTzfLK3Ots23btkptS0dHB7t27cLSpUuxZMkSiEQi9O/fH5UrV0ZkZCQAoFy5cti2bRvWrl2LuXPnIikpCTVr1sS6devQuHFjpeMmKgiRoGy/I6WMo6Mjdu/eDQ8PD4wZMwa3bt2Crq6ufL5UKkWVKlVw8uTJfG1/4cKFiIyMlN/lQ0Tq7eHDh+jXrx+OHj2KunXrqjocIiIqYVhbEpVdrCOJiKiwFWZt2b17dzg5OeHXX3+VT1u4cCGioqKwdu3aIomfqKxhPUhEpJ7K1JPg2bG1tUXv3r2xaNEi+bT3798rPS7JkSNHMj2ZIxaLFYpTIlJP3t7e8Pb2xokTJ9C4cWMWqkREVGCsLYnKBtaRRERUHApaW9aoUQNisVhhmlQqVXp9Isoe60EiIvWmvoMrFKO+ffvi9OnTuH79OmQyGQIDAzFkyBDs2LFDqfXj4+Px008/4cmTJ5DJZLh8+TJOnz7NsXWISoDo6Gjs3LkTlpaWWLZsmarDISKiUoC1JVHZwDqSiIiKQ0Fry4EDB+J///sfTp48CUEQ8N9//+HPP//EF198UcSRE5V+rAeJiNQbu0P38AAAXL58GV5eXggKCoK+vj66d++Ob7/9Fjo6OrluSxAEbNq0CUeOHEFkZCQqV66MyZMnc1wdIiIiojKCtSURERERFZbCrC0B4MqVK/Dy8sKrV69gYWGB0aNHY+DAgUX5FoiIiIhUrsw2ghMRERERERERERERERERUenD7tCJiIiIiIiIiIiIiIiIiKjUYCM4ERERERERERERERERERGVGmwEJyIiIiIiIiIiIiIiIiKiUoON4EREREREREREREREREREVGpoqTqA4hIZGQdBKNg2RCLA0tK4ULZVWjAnmRVqThISYVWvJgAgwtcfMDQoeIAqwOMkM+YkM+YkM+YkM+Yks6LISfo2KXs8BjPj72fBMYcFxxxmI4/nFcxjwTGHhYN5LDh1yCFrS+XwOC/Z1OF3jQogD7USP+uyhZ932cLPu2TIS21ZZhrBBQGFdtAW5rZKC+Yks0LJiSAAcXEf/ysAJTzHPE4yY04yY04yY04yY04yY06KF/OdPeam4JjDgmMOP5PP8wrmseCYw8LBPBYcc6j++BmVDvwcS6h81Er8rMsWft5lCz/v0oPdoRMRERFRiffs2TOMHDkS7u7uaNasGWbNmoWoqKgsl71y5Qp69OgBFxcXdOnSBZcuXSrmaImIiIiIiIiIiKgosRGciIiIiEq05ORkjB49Gq6urrh+/TpOnz6NmJgYfP/995mWDQwMxJQpU/DNN9/gzp07mDJlCqZNm4Z3796pIHIiIiIiIiIiIiIqCmwEJyIiIqISLSwsDE5OTpg0aRJ0dHRgbm6OAQMG4L///su07PHjx+Hm5ob27dtDS0sLXbt2RaNGjXDw4EEVRE5EREREpcHjx48xePBguLm5oXnz5li8eDHEYrGqwyIiIiIq08rMmOBEGUUnihEeL4ZYKkOKRAaxVAaxRIAgCLC3NkRFUz2IRCJVh0lERERKqF69OrZt26Yw7fz586hTp06mZQMCAuDg4KAwzd7eHs+ePSvSGImoZBMEAXEpEsSlSJCQIkW8OO3fVKkMWpoa0NYUQVsj7V8TPW1YG+nAUEeT5xRERGWATCbDuHHjMHbsWOzZswfv37/HiBEjYG5ujkmTJqk6PKIiJxMERMSLERqbhPgUKWyMdWFrrAsTPS3WQkREpFJsBKcyQSoT8PRdHP59GYV/X0Xh6bv4HJe3MNBG3fImqFfeGPUqmKCOrTH0tDWLKVoiIiLKL0EQsGbNGly6dAl79+7NND8hIQH6+voK0/T09JCYmJin/fBaTmbpOWFu8o85LLiC5lAQBLz9kAKfsA94FZmIkJgkhEQnISQm7aJuXuhra8DaSBfljHRQ3coQNa3TfqpbGsJAp5jPLTLkQyRSfJ3l4jwWC4w5LBzMY8GpQw5L++cXGxuL8PBwyGQyCIIAANDQ0MhUcxKVFnHJEpx7+g7/BccgJCYJoTHJSJHIMi2nr60BW2M9VLM0QAdHa7SsYQldLXZMS0RExYeN4FSqPX7zAQfvh+FmYDRiklIV5lkYaENPSwM6WhrQ0dSArpYGUqUCAiISEJWYiqsvInH1RSQAwFhXC33ql8dA1wqwMtJVxVshIiKiXMTHx2POnDl4/Pgx9u7dC0dHx0zL6OvrIzk5WWFacnIyDA0N87QvS0vjAsVamjE3BcccFlxecvgyPB5Xn4fjTlA07gRG4+2H5GyX1dfWhJGeFox1tWCkpwVdLQ2IpQJSJTKkStN6mIpKECMuWYKkVBmCo5MQHJ2EOyGx8m2IRICdlSGaVLdE0xpWaFzdApZFfY6h/+mCs5WVMaDkdx6PxYJjDgsH81hwzGHRMTc3x4gRI/DLL79g+fLlkEqlaNeuHUaMGKHq0IgKjSAIePQmDscevsEFv/BMjd6aIqC8qR6MdLTwPj4FUYmpSEqV4VVUIl5FJeKSfwSMdDXRzsEaXWuXg0tFU2iU9jtkiIhI5dgITqVSaEwSNlwLxMXn4fJphjqaaFzNHE3tLNC0mnm2jdkpEhn83sfDN+wDfN98gM/rD4hIEGPX7RDsvxuKLrXKYbBbJVS3zNvFciIiIio6wcHBGDNmDCpUqIAjR47AwsIiy+UcHBzw+PFjhWkBAQGoW7dunvYXGRmHjw/60EciUdoFduYm/5jDglM2h4GRibj4PBwX/SIQEJGgME9TQwTHckZwLGeIKub6qGyuj8pm+qhoqqd071BJYinCE8QIj0/Bmw8peBGRAP/wtJ/IBDFehifgZXgC9nkHAwDsrQzRrLoF2jlYoZaNUeF3HZqQAKuP/42IiAOSMj+tlRGPxYJjDgsH81hw6pDD9BhKK5lMBj09Pfzwww/o27cvgoKCMHnyZHh5eWHatGlKb4ftgSWbOvS6UFT+9zwc224Gwz/8U81U3dIA3evYwN7aEJXN9FHeRBdamp9uuktOleJ9vBhvPiTjTnAMzj55j3dxKTjp+xYnfd+iirk+preujhY1LFXxljLLQ685pfmzpsz4eZct/LxLhrx8PmwEp1IlJjEV272DceRBGCQyASIAXWuXQ4+6tqhfwUShGMuOrpYGnCuYwLmCCYC0cW2uvYjEnv9C4RP2AacevcOpR+/QvLoFJrewQw0rNoYTERGpUmxsLIYPH47GjRtjyZIl0NDI/u99z549sXPnTpw9exYdO3bE33//jdu3b2Pu3Ll52qcggBfjs8HcFBxzWHBZ5TApVYrTj9/hmM8bhYZvTQ0RGlQyRcPKpqhfwRR1yhtDP5vGbmU/Fz1tTVQ2S2s8/1xUohi+YR9wJyQWd4JjEBCRIP/ZdTsEFUx00dbBGu0drVG7sBrEM8QtCIqvc1yNx2KBMYeFg3ksOOaw6Fy4cAHnz5/HX3/9BQCoWbMmJk2ahCVLluSpEbw03yhQlpSmzzE8LgU/nnyEc4/eAki7ZtrNuTwGe1RBgyrmudYolT7+261hFfzwhQDvV1E4fj8UZ33fIjg6CdOPP0Zbp3L4sXttVFP19dV89JpTmj5ryh0/77KFn3fpwUZwKhVkgoD9d19j+60g+Vh9jauZY0oLOziUMyrQtjVEIrSyt0Ireys8DPuAvXdCcdk/AtdfRsE7KBpjm1TFkEaVoaXB24OIiIhU4dixYwgLC8O5c+fkFx/T3b9/H66urli4cCF69uyJGjVqYMOGDfj1118xd+5cVKxYEevWrYOdnZ2KoieiovYuLgWH7ofhhO8bfEiWAEhr+PaoaoZ2DtZoVcMSpvraxRaPhYGO/PwCAKITxfgvOAaXPp5jhH1Iwd47odh7JxQ1rAzQx7k8uta2gZEuT9+JiNTRmzdvIBaLFaZpaWlBWztvf1vY40HJpg69LhQWQRBw7ul7rPznBWKTJdDUEGGEe2UMdqsIE7204zoyMj7P261pqoNZratjUtMq2HErBPvuhOKfZ+9xzT8cQxtVwiiPKkr3ulPo8tBrTmn6rCl3/LzLFn7eJUNeehniWTSVeHHJEvx47hmuv4wCADhYG2Jqy+rwqGZe6PtyrmCC5T1rIzg6Casvv8D1l1HYcD0QlwMiMb+zI+wsDQp9n0RERJSzkSNHYuTIkdnOv3//vsLrFi1aoEWLFkUdFhGpWFhsMrbcCMT5Z+GQytKuYFQy08NA14roUruc/CKuqpkb6KCjUzl0dCqHpFQpbr6KwsXnEbj6IhIvIhKx4p8XWHf1FTo6WaOvSwXUsuFTCURE6qR58+ZYuXIlNm/ejDFjxiAsLAybNm1Cjx498rQdPq1fOpT0zzEiPgVLLvjLr7M6ljPCj50c5A8ZFcZ7M9DWwuQWduhexwYr/3mBW0HR2HErBH89DcfyHrXhaFOwB5ryJR+95pT0z5ryhp932cLPu/RgIziVaC8jE/DdyScIjk6CrpYGvm1TA73q2UKjiAdtqGKuj1W96uDsk/f49VIAHr+Nw5A9dzG+WTUMdquU+waIiIiIiKhIxCWnYv3VV9h/NxRiadqVi4aVTTGoQSU0r24BTTXuwUlfWxNtHazR1sEacckSnH3yDscevsHLyET5sEzuVcww0qMKGlY2Lfyxw4mIKM/s7e2xZcsWrFmzBtu2bYOxsTF69uyJSZMmqTo0ojx5FZmIKUd98S4uBdqaIoxuXBXDGlVSanjJ/KhmYQCvL+viSkAkVl56gbDYZHx94AF+6OiATrXKFck+iYiobGEjOJVYl/0jMP+cHxJTpbAx1sWKL2oX61MRIpEI3erYoFEVMyy58Bw3XkXD6+orXHkRiW0j3MHLUURERERExUciE/Dno7fYejMIEfFp3dK6VTbFlJbVUdu25D09baynhQENKqK/awX4vP6AIz5huOgXjtvBMbgdHIN65Y0x3L0KWtSwKPKbgImIKGdNmzZF06ZNVR0GUb49DPuAb48/QmyyBFXN9fFLz9qoUQzjdItEIrSuaYWGlc0w7+xT3HgVjXlnn+HZ+3hMamHH4SeJiKhAiuY2LqIiJBMEbPk3EN+deoLEVCkaVDLF7iGuKusWsJyxLtb0rosfOjrAUEcTPq8/oPfGf/EqMlEl8RARERERlTWBUYn4+o8HWHrBHxHxYlQx18fKXnWwsZ9ziWwAz0gkEsGlkikWd6uFY1+7o2/98tDRFMH3TRxmnnyM4Xvv43ZQtKrDJCIiohLq+stITDz8ELHJEtQtb4xtA12KpQE8I2M9LazqVRcj3CsDAPbeCcW0Y76ITUot1jiIiKh0YSM4lShSmYD55/yw7VYwAGCAawVs6FsPFgY6Ko1LJBKhZz1b/D7YFZXM9BAanYRR+x/gTnCMSuMiIiIiIirNBEHAkQdhGLLnHp68jYORribm96iNgyMaomUNy1LXXXgFUz3Mbl8TJ8d4YFijyjDQ1kx7UuqIL6Ye9YV/eLyqQyQiIqIS5M9HbzHzxGOkSGRoameOjf2cYWagrZJYNDVEmNTCDsu614Kelga8g2IwYv99vPmQrJJ4iIio5GMjOJUYMkHA0gvP8dfT99DUEGF+ZwfMbGtfZOPS5Ec1CwP8/pUrGlY1R1yKBJOP+uL047eqDouIiIiIqNSJiE/BtOOP8Mv/ApAikaFRFTMcHOGGkc3soK1G5whFwcpQB1Na2uHE6EYY4FoBmhoi3AyMxuDd97DgLz9ExKeoOkQiIiJScwfvvcai888hFYButcth5Rd1oK+tqeqw0N7RGju+ckEFE12ExiRj/EEfhMWyIZyIiPKudF8ZoFJDEASs+F8ATj16Bw0RsKSbE7rXsVV1WFkyM9DGvtEe6OBoDalMwMK/nmPzv4EQBEHVoRERERERlQq3g6IxcNdd3HgVDR1NEb5tUwPr+9aDjbGuqkMrVuYGOpjZ1h6HR7ihvYM1BABnHr9D3513cPDea0hkPAchIiKizC76hePXSy8AAEPdKmF+Z0e1etCoprURtg50QRVzfYR9SMG4gz4IjUlSdVhERFTCqM9fNqJsCIKAtVde4YjPG4gAzO/siHYO1qoOK0d62ppY0t0JIz3SxrHZfisYSy/4Q8aGcCIiIiKiAjnmE4apR30RmyyBg7Uhdg9pgEENKkKjlHV9nheVzfWxrEct7PzKBbVtjZEgluLXSy8wYt99PHrzQdXhERERkRp5EBqL+eeeAQD6uVTAlJZ2ajmEjI2xLjb3d0ZVc328jUvB+EMPERLNhnAiIlIeG8FJ7W2+EYR9d0MBAN93qImutW1UHJFyNEQiTGxuh3kda0JDBJzwfYsV/wvgE+FERERERPkglQlYdekFll0MgFQAutQqhx1fuaKGlaGqQ1MbdcubYMcgF3i2t4exrhb83sdj1P4HWPnPC1WHRkRERGogMDIRM04+hlgqoFUNS8xoU0MtG8DTWRulNYTbWRjgXVwKxh/yQTAbwomISElsBCe1ttM7GDtuBQMAZrapgV7O5VUcUd59Ua885nd2hAjAEZ83WHX5JRvCiYiIiIjyIEEswcyTj/HHvdcAgAnNqmFhF0foavGU9nOaGiJ8Wb8CjoxyQ7c6NhAAnHz0VtVhERERkYpFJIgx9ZgvPiRLUK+8MRZ3c4Kmhvo2gKezMtLFpv7OqG5pgPfxYow/5IO3HzhGOBER5Y5XDEht/fX0PTZeDwQATGlhhwENKqo2oALoWtsG8zo6AAAO3HuNdVdfsSGciIiIiEgJUYlijDngg+svo6CrpYFl3WthVOMqav3UkjqwMNDBgs6O2NzfGeVNP42VvvrSCySKpSqMjIiIiIpboliK6cce4c2HFFQ208PKXnWgp62p6rCUZmmog039nWFnaYDweDGmHX+E+BSJqsMiIiI1x0ZwUkt+7+Kx+O/nAIBhjSphmHtlFUdUcD3r2WJOe3sAwJ47odj0byAbwomIiIiIchCVKMbEww/hH54ACwNtbBlQH+0drVUdVonSsLIZfv/KVf76uO9bDNp9Fw9CY1UYFRERERUXQRCw6Lwfnr2Ph7m+Nry+rAdzAx1Vh5VnFgY68OpTF1aGOngRkYhZp54gVSpTdVhERKTG2AhOaicmMRXfnXqMFIkMTe3MMbG5napDKjR96lfAzDY1AAA7vUOw7WawiiMiIiIiIlJPUYliTDj0EC8iEmFtpIOtA+qjjq2xqsMqkfQzPOllY6yDsNhkjDvkg99uBkEq4425REREpdnhB2/wv+cR0NIQYWWvOqhkpq/qkPLN1kQPa3rXhYG2Jv4LjsGSv5/zISMiIsoWG8FJrUhkAuaceYo3H1JQyUwPP3UtGWPT5MWABhUxrVV1AMDWm0E45hOm4oiIiIiIiNRLegP4y8i0BvBN/ZxR1cJA1WGVCr8PdkW3OjaQCcDWG0GYePgh3sWlqDosIiIiKgLP3sVhzZUXAIApLe1Qr4KJiiMqOEcbIyzrUQuaIuDMk/fYeiNI1SEREZGaUnkjeFRUFDp06ABvb+9slxk9ejTq1asHV1dX+c/Vq1eLMUoqLuuvvsKd4Bjoa2tgxRd1YKKnreqQisRgt0oY06QKAGD5/wJw41WUiiMiIiIiIlIPbAAvWoY6WljQ2RGLujrCQFsT90JjMXj3XVwJiFR1aERERFSI4lMkmHP6KVKlAlrVsMSgBhVVHVKhaWpnAc/2NQEA224F45TvWxVHRERE6kiljeB3797FgAEDEBycc5fQjx49wvbt23H//n35T8uWLYspSioufz19j313QwEA8zs7wt7KUMURFa0xTaqiW+1ykArAnD+f4vn7eFWHRERERESkUoliKaYefcQG8GLQpZYN9g5tgFo2RohNlmDmycdYe+UlJOwenYiIqMQTBAFL/vZHaEwybI118UMnB4hEpau3zV7O5TGqcdpDRksv+sPndayKIyIiInWjskbw48ePY+bMmZg+fXqOy4WEhCA2Nha1a9cupshIFfzex2Px388BACPcK6Odg7WKIyp6IpEIczs6wK2yKRJTpZh+/BG7ISQiIiKiMksqEzD3zFP4vY+Hub42G8CLQWVzfWwf5IKvGqY9Gbb3TiimHHmIqASxiiMjIiKigjj28A0uPg+HpoYIS7vXgql+6extc3zTqmjvYA2pTIDnn08REc9rq0RE9InKGsGbN2+OCxcuoGvXrjku5+vrC0NDQ0yfPh2NGzdG9+7dceTIkTzvTyQqnJ/C3FZp+SloTpJTpfj+9FOkSGRoWs0cE5pXU/l7Kq6c6GildftuZ2GA9/FifHv8ERJTJZm2VRqOu9LwHpgT5oQ5UY8f5qR4ckJEVJwEQcCqSy9w/WUUdLU0sLJXHTaAFxNtTQ1Mb10DP/eoBQNtTdwJicXQvfdwPzha1aERERFRPjx/H49Vl9LGAZ/UvFqpGAc8OyKRCD90ckB1SwNEJIjh+edTpEplqg6LiIjUhJaqdmxtrdyTvmKxGC4uLpg+fTpq1qwJb29vTJkyBYaGhujSpYvS+7O0NM5vqEW6rdKiIDmZd8IXwdFJsDXRw8ZhbjAz0CnEyFRH2ZxYAdg92gO9N/6L5+EJ+PEvf2wf7gYtTQ1A/9N9KlZWxoBhye4inr87mTEnmTEnmTEnmTEnmTEnRFSS/XHvNQ49CAMALOziWKov1qqrdg7WqG5piO9OPkZQdBIGbLmFmW1roLdzeVWHRkREREpKlcow/5wfxFIBzatbYLBbJVWHVOQMdDSx4os6GLb3HnzCPmDtlZeY2dZe1WEREZEaUFkjuLJ69eqFXr16yV83b94cvXr1wrlz5/LUCB4ZGQehgEObiURpF5gLY1ulRUFzcv1lFPbeShsT/odONSFJTEFEYsnutiY/OdEHsPKLOhh70AdXnofj+yM+mNXOHkhIgNXHZSIi4oCkknknI393MmNOMmNOMmNOMmNOMiuKnKRvk4ioOFz2j8Cayy8BAFNb2pWJoZHUlZ2lAX4f7IpF5/1wyT8SSy/440VEAqa1rgEtDXYTQkREpO5+9w5BQEQCzPS18UMnB2iUkW6+qpjrY2EXJ8w8+RgH74ehtq0xuta2UXVYRESkYmrfCH7kyJFMT32LxWLo6urmaTuCgEK7MFyY2yot8pOTmMRULPrLDwAwsEFFuFcxL1V5zWtOatsaY3FXJ3x36gkO3Q9DLRsjdK/2qQFCEACU8Pzwdycz5iQz5iQz5iQz5iQz5oSISiK/d/GYd/YZBAB9nMtjSBl4WkndGelqYXnP2jj06D1WnPfDwfthCIpKwtLutWCsp/aXEIiIiMos//B4bPdOe9jou7Y1YFFKettUVit7S3zduAq23wrG0gv+qGFlCMdyRqoOi4iIVEhlY4IrKz4+Hj/99BOePHkCmUyGy5cv4/Tp0xgwYICqQ6MCEAQBSy48R1RiKuwsDTCpeTVVh6QWWte0wtgmVQEAyy74w+99vIojIiIiIiIqGvEpEsz+8wlSJDI0rmaO79rZQ1RGnlZSdyKRCJPa2GN5z9rQ09LAraBojPrjPkKik1QdGhEREWVBIpVh0V/PIZUJaG1viQ6OZbNnnTFNqqJJNXOkSGSYfeoJ4lMkqg6JiIhUSC0bwV1dXXHq1CkAwPDhwzFkyBBMnjwZrq6u+PXXX/HLL7/Azc1NxVFSQZx+/A6XAyKhpSHCT12coKetqeqQ1MbXTaqgRXULiKUC5p55qupwiIiIiIgKnSAIWHT+OV7HJqO8iS4Wd3Vid9tqqK2DFbYNdEE5Ix0ERiVh5P77uBsSo+qwiIiI6DN77oTi2ft4mOhpYXb7mmX2xkJNDRF+6uqE8ia6eB2bjGUX/CGwyzQiojJLLRrB/fz84OHhIX99//599OzZE0DaHegTJ07EP//8Ax8fH5w+fRqdO3dWVahUCF7HJmHlpRcAgHFNq8LRht3SZKQhEmFRVydUMdfH+zixqsMhIiIiIip0B+6H4ZJ/BLQ0RFjWvRZM9bVVHRJlw9HGCLsGu6KOrTFikyWYctQXfz97r+qwiIiI6KOXkQn47WYQAGBGmxqwMixb3aB/zlRfG4u71YKmCPjbLxx/Pnqn6pCIiEhF1KIRnMoOqUzAgnN+SBBL4VLRBEMbVVZ1SGrJSFcLK76oDQM+IU9EREREpYxv2AesvfISADC9dXXUKW+i4ogoN1ZGutjc3xltalohVSpg7pln2HsnlE9WERERqZhUJuCn88+RKhXQvLoFutQqp+qQ1IJzBROMb1YNALD8nwC8ikxUbUBERKQSbASnYnX4QRgevP4AA21NLOjiCE12eZit6paGmNOxpvz1Rb9wFUZDRERERFRwMUmp+P70U0hlAto7WKGfSwVVh0RK0tPWxLLutTDANe0zW3vlJVZeegGpjA3hREREqnLw/ms8ehMHI11NzCnD3aBnZZh7ZbhXMUOKRIa5Z54iOVWq6pCIiKiYsRGcis3bD8nYdD0QADClpR0qmuqrNqASoFUNS/n/f/lfAAIiElQYDRERERFR/gmCgIV/+eFtXAoqm+lhbkcHXqgtYTQ1RJjRpgamtaoOADh4PwxzTj9FikSm4siIiIjKnvD4FGz5N60b9Kktq6Ocsa6KI1IvGiIRFnZ1goWBNvzDE+Q9ERERUdnBRnAqFoIgYPn/ApCYKoVzBRP0qV9e1SGVOCkSGeb8+QSJYt61SEREREQlz3Hft7j+Mgo6miL83KM2jHS1VB0S5YNIJMJgt0pY0s0J2poiXPKPwDfHfBGfIlF1aERERGXK2isvkZgqRb3yxviinq2qw1FLVoY6WNDFEQBwxOcNLvlHqDgiIiIqTmwEp2JxyT8C115GQUtDhO871IQGn/jIMysjbQRGJeHni/4ce4+IiIiISpTQmCSsufwCADCphR0cyhmpOCIqqI5O5bDuy3ow1NHE3ZBYTDz8ENGJYlWHRUREVCb8FxyN88/CoSECZrWz57XWHDSpZoGhbpUAAIv/fo73cSkqjoiIiIoLG8GpyMUlS7Din7QLXsPcK6OGlaGKIyqZFnR2gqYIOPf0Pf589E7V4RARERERKUUmCFh0/jmSUmVwrWSKgQ0qqjokKiQNK5thc39nmOtr4+m7eIw54IO3H5JVHRYREVGpliqVYcX/0q61flm/ApxsjFUckfqb0LwaatkY4UOyBIvO+0HGB4yIiMoENoJTkdtw/RUiEsSoYq6PUR5VVB1OieVcwQTjm1UDACz/JwAB4RwfnIiI6HNRUVHo0KEDvL29s11m9OjRqFevHlxdXeU/V69eLcYoicqWA/de435oLPS1NfBjJwc+qVTKONkYY+vA+rAx1kVQdBJGH/BBYFSiqsMiIiIqtQ7ce41XUYkw19fGhI/XCiln2poaWNTFCbpaGvAOisHh+2GqDomIiIoBG8GpSPm8jsVRnzcAgO871ISuFg+5ghjmXhlN7cyRIpHBk+ODExERKbh79y4GDBiA4ODgHJd79OgRtm/fjvv378t/WrZsWUxREpUtgZGJ2Hg9EAAwrVV1VDLTV21AVCSqWRhg28D6qGahj3dxKRh7wAf+4fGqDouIiKjUeReXgt9uBgEAprayg7GeloojKjmqWRpgasvqAIB1117hZSQfMCIiKu3YIklFJlUqw5IL/gCAnnVt0LCymWoDKgU0RCIs7OyEckY6CIpOwjKOD05ERAQAOH78OGbOnInp06fnuFxISAhiY2NRu3btYoqMqOySyAQs+MsPKRIZGlczR2/n8qoOiYqQrYketg6oD6dyRohOSsWEQw/x9F2cqsMiIioWMTExmDVrFjw8PNCoUSNMnDgR79+/V3VYVAqtufwCSakyuFQ0QbfaNqoOp8Tp51IejaulPWA0/6wfUqUyVYdERERFiI3gVGT2/BeKV5FpXfOk32VHBWdmoI2l3WtBUwT89fQ9Tvq+VXVIREREKte8eXNcuHABXbt2zXE5X19fGBoaYvr06WjcuDG6d++OI0eOFFOURGXLnv9C8PhtHIx1tfBDRweI2A16qWduoION/ZxRr7wxYpMlmHDoIR6GfVB1WERERW7KlClITEzEhQsXcOnSJWhqauKHH35QdVhUyngHRePi8whoioBZ7exZW+WDSCTCj50cYKqnhWfv4+VP1RMRUenE/lKoSITFJmOHd1pXpN+2qQFTfW0VR1S61K9oionN7bDu2iv8eukF6lc0hZ2lgarDIiIiUhlra2ullhOLxXBxccH06dNRs2ZNeHt7Y8qUKTA0NESXLl2U3h+vN2WWnhPmJv9KUw5DY5Kw/Vba+cCMtjVgY6JbLPstTTksVBnyIRIpvs5y8QLk0URfC+v71cO0Y49wP/QDphzxxZo+ddCgjPUMxmOxcDCPBacOOSztn9+jR4/g4+ODGzduwMjICADw008/ITw8XMWRUWkikQlYdekFAKCvSwXUtDZScUQll7WRLr7vUBOz/3yKXbdD0MzOAvXN2ExCRFQa8dudisSaKy+RIpGhYWVTdHJS7qI05c2QRpXwX3AMbgVFY+6Zp9j5lSvHXCciIspFr1690KtXL/nr5s2bo1evXjh37lyeGsEtLY2LILrSgbkpuJKeQ0EQMP3kE6RIZGhub4XhLWsU+5NKJT2HhU7/03mClZUxYGio1Gr5zaMVgH1jm2Ds7ru4HhCBqcceYduwRmhe0ypf2yvJeCwWDuax4JjDovPw4UPY29vj0KFD+OOPP5CUlIQWLVpg9uzZedpOab9ZoLQr6htOTvq+wcvIRJjqa2Fcs6o8XgqonaM1ur+MwunH7zD/nB8O9HOSz8vthkF1uLmIig8/77KFn3fJkJfPh43gVOi8g6JxyT+ta56Zbdg1T1HREIkwv4sjvtp1F/7hCVh/7RVmtKmh6rCIiIjU2pEjRzI99S0Wi6Grm7enVCMj4yAIhR1dySYSpV1gZ27yr7Tk8K+n73HNPwI6miLMaGWHyMj4Ytt3aclhoUtIQHrzc0REHJCU8/iXhZXHX7o7YdbJJ/j3VRS+3vUfVveuA/eq5vnfYAnCY7FwMI8Fpw45TI+htIqNjYWfnx/q1q2L48ePIzk5GbNmzcLs2bOxZcsWpbdTmnNUlhTF5/ghORVbb37scbODI6pXsij0fZRFy/rVx/3X1/A6Jgk77oRi/sfpyt4wyN/ZsoWfd9nCz7v0YCM4FapUqQy//hMAIK1rHntr5Z4woPyxMtTBj50dMP34Yxy49xqNq5qjWXUWwkRERNmJj4/HqlWrULVqVTg5OeHq1as4ffo0tm/fnqftCAJ4MT4bzE3BleQcxiVL5F11jvSogkpm+ip5LyU5h0UiQy4EQfF1jqsVMI86mhpY3rM2Zv/5BNdfRmH68cdY3bsOGlUpGw3hAI/FwsI8FhxzWHR0dHQAAHPnzoWuri6MjIwwbdo09O/fHwkJCTBUsvcN3uxRshXlDSdrL79EVIIY1Sz00amGedoNbVQo5nW0x4RDvjhw+1MjeG43DKrDzUVUfPh5ly38vEuGvNxgyUZwKlQH74chMCoJ5vraGNe0mqrDKROaV7fEANcKOHg/DAv/8sP+4Q1hZaij6rCIiIjUhqurKxYuXIiePXti+PDhSExMxOTJkxEZGYnKlSvjl19+gZubm6rDJCoVNlx/hajEVFQ118ewRpVVHQ6pAR0tDfzSQ7EhfG2fumhYxsYIJ6LSy97eHjKZDKmpqfLehWSytAY0IQ9X0HmjQulQ2J9jaEwS/rj3GgAwrVUNaGpo8DgpRG6VzTHAtQJOeb+UT1P2hkH+zpYt/LzLFn7epQcHEKZCExGfgm03gwAAk1vYwViP91gUlyktq6OmtSGik1Kx8JwfZPyGJiKiMszPzw8eHh7y1/fv30fPnj0BACKRCBMnTsQ///wDHx8fnD59Gp07d1ZVqESlim/YBxzzeQMAmNOhJnS0eLpJadIbwpvZWSBFIsO0Y49wNyRG1WERERWKpk2bonLlyvj++++RkJCAqKgorF69Gu3bt4eRkZGqw6MSzuvqK0hkAhpXNUdTu7LTk0pxmtTCDpXM8jY8FhERlQy8KkGFZt21V0gQS1HH1hjd69qoOpwyRVdLA4u7OUFXSwO3gqKx/+5rVYdERERERGWIRCrDsov+EAB0r2PDp3wpEx0tDfzSszaaVDNH8seG8AehsaoOi4iowLS1tbFnzx5oamqiU6dO6NSpE2xtbbF06VJVh0Yl3N2QGFzyj4CGCPimdXWIRCJVh1Qq6WtrYk4HB/nr6y+jVBgNEREVJjaCU6HweR2Ls0/eQwTgu3b20GBRVuyqWxri29bVAQAbrr3C03ccH4iIiIiIisdhnzfwD0+AqZ4WvmlZXdXhkJrS1dLAii/qoHF6Q/jxR3jG8xYiKgVsbGywevVqXL9+Hf/99x9++eUXmJiYqDosKsGkMgGrL6d10d3buTzsrZQbW57yp175T7+vK/4JQExiqgqjISKiwsJGcCowqUzA8v+9AAD0rGuLOrbKDUhPha+3c3m0qWkFiUzAvDPPkCiWqjokIiIiIirlohPF2HojEEBad5JmBtqqDYjUmq6WBlb0rA3XSqZIEEsx+YgvXkYmqDosIiIitXLu6Tv4vY+HoY4mxjWtqupwypToxFT88r8AVYdBRESFgI3gVGCH74TA7308jHQ1MbFFNVWHU6aJRCLM7VAT5Yx0EBydhJWXWLARERERUdHa9G8g4lOkcCxnhJ51bVUdDpUAetqaWNWrDmrbGiM2WYJJh30RGpOk6rCIiIjUQnKqFJuuBwIARnlUgbmBjmoDKmM0NUS4+Dwcfz97r+pQiIiogNgITgWSIJbg17+fAwDGNKkKCxZlKmeqr41FXZ0gAnDq0Ttc8AtXdUhEREREVEr5vY/HiYdvAQAz2tSApgaHRSLlGOlqYW2fuqhhZYCIBDEmHX6Id3Epqg6LiIhI5Q4/CMP7eDHKGemgv2sFVYdT5gxvVAkAsPx/AYiIZ21CRFSSsRGcCuR37xBExKegirk++rmwKFMXDSubYaRHZQDA0gvPERabrOKIiIiIiKi0EQQBK/8JgACgo6M1XCuZqjokKmHM9LWxvq8zKpvpIexDCiYdfoioRLGqwyIiIlKZ2KRU7PQOAQCMb1YNetqaKo6o7BnaqBKcyhkhNlmCJRf8IQiCqkMiIqJ8YiM45dubD8nYdycUADC1lR20NXk4qZMxTaqiXnljxKdI8cPZZ5DIWLARERERUeG5+DwC919/gK6WBqa0tFN1OFRCWRnqYEM/Z9gY6yIoOgmTj/jiQ3KqqsMiIiJSiV23QxCXIkENKwN0rW2j6nDKJE0NDczv4ghtTRGuv4zCn4/fqTokIiLKJ7ZaUr5tuPYKYqmAxtUt0KqGparDoc9oaWrgp25OMNTRxMOwD9hxK0jVIRWaN2/CcPXqZVWHQURERFRmJadKsfbKSwDAcPfKsDXRU3FEVJKVN9HDxn7OsDDQhn94AqYde4REsbTY9s/zCyIiUgdvPyTj4P3XAIDJLew4zIwK2VsZYnzTagCAVZde4O2HstXLJmsjIiottFQdAJVMvmEfcP5ZOEQA5qB/ixwAAQAASURBVHWrDZFIBPYMo34qmurDs31N/HD2GbbfCkajKuYlupvKlJRkHDlyENeuXcGbN2G4c8cbAwYMRsWKlVQdGhEREVGZsvu/ELyLS4GtsS6GurEWo4KrYq6PDX2dMe6QD3zfxGHGycdY07sudLWK7t59nl8QEZE62XIjCGKpgAaVTNHMzkLV4ZR5g90q4XJAJHzffMBP559jXd960BCV7hsTWBsRUWnDRnDKM0EQsPpy2lMf3evaoG5FU0RExKk4KspO51rlcCswCmeevMcPZ59h/7AGMNHTVnVYeSaVSjFlyni8evUSbm7uSExMwH//eePvv8/ht992o3LlKtmuGxDgj02b1uHx44fQ0NBE06bNMX78FFhZWcmXSUxMwO+/b8OVK5cQGRmB8uUroFevvujduy80ND5deLt16wZ++20TAgNfwszMHL16fYkhQ0ZAlKEIvnr1Mn7/fRuCgwNhamqGrl17YNiwUdDW1laIydNzI+7fv59tTFnx9/fDli0b8OzZE8hkAhwdnTB+/BQ4OjrlJ61EREREeRYen4Ld/6UNi/RNq+ocq5IKjb21Ibz61MXEw764ExwDzz+fYEXP2tAqgqG3ivL8Yvv2Ldi587ds11+3bgtcXRtCEAScOnUcx44dQljYa5iZWaB585YYPXocDA2NAADNm7tlux1X14ZYt24LAGDTpnXYt29XpmXGjZuMoUNHZLl+37498PbtmyznlS9fAYcPn8p230REVLgCwhNw5mO321Nb2ilcZyLV0NQQYUEXR3y1+y5uB8fgqM8b9HOpoOqwikxBaqPAwFfYuNEL9+/fhZaWFlxdG2L8+EmoUqValstfv34Fnp4zcP36HYXpMpkMBw7sw8mTRxEe/h62tuXRq1df9Os3UOF3Ijz8PTZu9IK3901IJBLUqlUHkyZNhYPDp+ujiYkJ2LBhLa5du4LExATUreuMb76ZCTu76krn5Pvvv4OhoSHWrFkpn7ZkyQKcO3c623WOHPkTtrblld4HERUtNoJTnl3wC4fvmw/Q19bAxObVVB0OKeG7dvZ4GPYBITHJWHrBH8u61ypxxfT161fw5MkjrFixBrq6ejh37jSmTJmO/v17Yc+enfj++/lZrvf+/Tt88814VK5cFT/+uBjJycnYunUDpk2biN9/3w8trbSvwQUL5uLxY1+MGjUOVatWw717d+DltRJxcR8wYsRoAICvrw88Pb9Fu3YdMGbMBDx8+ABbt26ETCbD8OFfAwBu3ryOuXO/Q9euPTBhwhQEBwdi8+YNiIiIwOzZc+UxTZ06HtWrV8f8+YuRlJR1TJ97/ToUkyaNhYODIzw9f4BIpIEDB/Zi4sSvsXPnvmwLSyIiIqLC9NvNIKRIZHCuYIJ2DjnfwEeUV3XKm2BV7zr45tgjXH8ZhQV/+WFRV6dCf/KqKM8vevTohcaNm8LMzAAxMYkQBCA1VYwFC76HpaUVateuAwDYv383tm7diEGDhqJhw0Z4/ToE27ZtxsuXL7BmzQaIRCJs3rwzUwxXr/6D/fv34Isv+sin+fs/R8OG7hgzZoLCsra2ttnmYOnSFRCLFcdff/z4IdatW62wbSIiKnobrr+CAKCdgxXqlDdRdTj0URVzfUxpYYdfL72A15WXaFzVHFUs9FUdVpHIb20UFvYaEyZ8DSMjY3z77SyYm1vgzJlTGDduFLZv34MKFSoqLH/nzm0sXDgvy22tX78ahw79gV69vkTLlm0QFhaKbds24+3bMEydOgNAWuP2pEljoK2tje++mwMdHV38/vs2TJ8+Cbt2HZTflLhgwVw8efIYEydOhaGhIXbs+A3ffDMBe/cegolJzj2lSqVSeHmtxNWrl9ClS3eFeSNGjMYXX3ypMC0uLhY//OAJV9eGKFfOJsdtE1HxYiM45UmKRIb1114BAIY1qgxrI10VR0TKMNTRwk/dauHrPx7gf88jcNL3LXo5l6w70oKCAgEADRq44fHjRwAAExNTzJ//E4yMjLNd7+TJY0hKSsby5avlBY6ZmRmmTh2Pu3f/g4dHE/j5PcONG9exaNHPaNu2PQDAzc0dcXFx2LdvN4YP/xoikQg7d/6GmjUd8MMPPwEAGjduColEgr17d2HgwMHQ1dXDnj2/o1atOpgz50cAQKNGHoiJicHu3Tswdeq30NfXl8e0efNmSCSaEITMMWXl8OE/oKurixUr1kJfP63gbtiwEfr27Y4jRw7i229nFzzRRERERDkIjEzEKd+3AIApLfiUEhWNhpXN8EvP2phx4jHOPwuHhYEOpreuXqjHW1GeX5QrZwMbGxtYWRkjIiIOggB4ea1EYmISNm1aDl1dPchkMuzZ8zt69uyD8eMnA0g7dzAxMcOPP3rCz+8pnJxqo27degr7f/v2LU6dOo4+ffqhfftO8ukBAc/Rq9eXmZbPScanpQAgISEeCxZ8j6ZNm2PIkBFKb4eIiArmbkgMrr+MgqaGCBOb26k6HPpMP9cKuBwQgTshsVj4lx+2Dqyv6pCKRH5ro0OH/kBKSjK2bdst7zbdw6MJxo0bid9+24T58xcDSGu83r17J/74Yw8MDY2QlJSksJ2YmBgcPXoIPXr0xsyZc+TTbWxsMXv2t/jiiy9RtWo1HDy4H7GxMdi376i8wdvJqRa+/noo7t+/gw4dOuPRo4e4ceM6VqxYgyZNmgMAnJ1d0b9/Txw7dlj+wFNWAgL8sXr1cjx79gS6upnbPipWrJSpe/g5c2bCxMQUP/64WKFHUSJSPTaCU578cTcUbz6koJyRDoZw7D+V6tu3B7p27YGEhHj89dcZiMWpaN68Jb777nscO3YIR48eQmJiAtzc3DFr1lzUsTXDxGbVsO7aK/y6fS/+eO+N929fw9zcAt269cTw4V8rPIH8558ncOLEUQQFvYJMJqBKlaoYOnQk2rXrAAA4e/ZP/PLLYmzcuB1eXivh7+8HMzNzfPllfwwePDzbuCdPHosHD+5lO//w4VMoXz5z10Lpd9E9fPgAmpqf4kwvZLLP00C0aNFK4Q6/9G7JU1PF8mk9e/aGm1sjhXUrV66CpKREREdHwcjIGPfv38WoUeMUlmnTph32798NH58HcHdvjLlzF0AqlSgso62tDZlMBolEohCTmZmZfCiBrGL6XNWqdhg0aIi8ARwA9PT0YG1dDq9fv84xD0RERESFYeO/gZAKQMsalnCplPMTFFSyfH5+kZqaimbNsj+/MDU1k6/7558ncPDgfrx+HVKo5xcWhqaIquCBP9AWVoY6GOZeOVPc6np+kZG//3McOXIQ48dPkT8NlZCQgE6duqBdu44Ky6Z3Nfr6dSicnGpn2tb69augq6uHceMmyadFRUUiKioSNWs65Bh7bnbu3IaYmGjeXEtEVIwEQcC6q2kPHPWuZ4sq5qXzKeOSKGNtFHjuDHQTk/HYtg52VZkJs/d3sXv3nmKvjdTx2mtQ0CtUq1ZdoWFYJBKhfn1X/Pnncfm006dP4vTpk5g+fRYiIyMyDR0TEhIEqVSKZs1aKEx3cWkImUyGW7f+RdWq1XD58j9o3bqdwpCSlpZWOHHinPy1t/dN6Ovro1GjxvJp5ubmcHFpgFu3buTYCL548Xzo6+tjy5bf4en5bY7vHQD+/fcarl27jJ9++hnGxtnfLEBEqpGvRvCQkBBUrpz55JNKt8gEMX6/HQIAmNTCjmP/qYGDB/fBzc0dCxYsxbNnT7Blywb4+T2FtXU5zJr1PYKDg7BxoxcsLKwwY8ZsDGlUCaeO7MWbu8fwoW4bLJ76LQJf+mP79q14//6d/Onlo0cPYe3aXzFq1FhMmvQNPnyIxb59u7Bo0TzUqVNP3qWeTCbDjz96YsCAwRg7diJOnz6JTZvWwd7eIdunmWfM8ERCQkK278nSMusuNVu2bIOKFX/D3Lmz4e7uAalUitTUVIVxtrNibm4Oc3NzAEBKSgr8/f2watUvqFSpirwQcnR0wqxZczOte/XqJZibW8DMzBzBwUFITU1FlSqK499UrJj2XRgSEgR398YKBV98fDzu3PHGH3/sRceOneWFkLm5OSwsPsX0/HnmmLLSu3ffTNOCg4Pw8uULuLl55JgHIiJ1xtqSqGTwDfuAS/4R0BCBwyKVUunnFwsXLkVw8AusWrUqx/MLANizZye2bt2IL78cgKlTv4W/v1+hnl9cuHAaMtMKWHcNMDfQRo+6it17q+P5xec2blyLChUqon//QfJpxsbGmD59VqZlr169BACws6uRaZ6vrw8uX/4H338/Xz5mOAA8f+4HALh27QrWrPkVERHhqF69BsaOnYQmTZrl+H7SvXkThqNHD2LIkBEcx5LKHNaipEr/+Efg8ds46GtrYHSTqqoOhz6TXhstWrgUxy5749rJ3di2eBrq16yqstpI3a69mpmZ4+XLAEgkEoVG/tevQxEfH48PH2JhYmKKZs1aomfPPtDT08P27Vuy3A4AvH0bpjD99etQAGm1ikQiQWDgS3Tq1AW//bYJp0+fQExMDOrVq4/p02ehRg17AGlPtVeoUDHTkJMVK1bGhQvnkJN58xbC3r5mjsukk8lk2LhxLVxcGqBNm/ZKrUNExStfjeBdunSBq6sr+vbti06dOkFPT6+w4yI1tPVGEBLEUtSyMULnWuVUHQ4BMDAwxMKFy6ClpYVGjTxw7txpREREYOvWXTAyMkKTJs1x9+4d+Pr6AAASExIQffcMtOybIaJmd3gn2+DbwU1hamqKn39ejAEDBqN69RoIC3uNgQOHKNwVV758RXz99RD4+j6ArW1nAGl3q44cORrdu/cCANSrVx9XrlzCjRvXsi3E7Oyq5/O9GmDz5p3Yvn0LLl78C/Hx8ejatR169uyF8eOn5FqQAcDw4QMRGhoCHR1dLF78S5Zd2qQ7cGAvHjy4h6lTZ0BDQwPx8XEf4zDMFBeATMVlePh79O7dFUBa7j5/gjzdsGHKx/S55ORkLFmyALq6eujbd4DS6xERqRvWlkTqL+0ppZcAgO51bFDDyjCXNagkSj+/0NbWQpcu7XHkyNEczy/i4+Oxa9d2fPFFH0ybNhMA4O7euNDPL+xlwXgMJyz5+znMDbTRvLqlfDvqfn7h7/8c//3njdmz52W6EPs5X18f7Nu3Cy1atEb16pkbwffv34Py5SugY8cumfYBADEx0fD0nAexOBVHjx7E7NnTsWLF2mzPzTI6fPgPaGvroF+/QbkuS1TasBYlVZFIZdh4PRAAMMStEiwNdVQbEGWS8dqrm5s7Olz9G0lx0Uh0GwZ3Dw+V1UbqdO21a9fuuHDhL/z0048YO3YijIyMcP78WXh73wAAJCUlwcTENFMX4p+rXLkK6tWrjx07foO1tQ0aNmyEsLBQLF++FDo6OkhKSkJc3AdIpVIcPLgfFSpUxOzZPyA1VYxt2zZjypRx2LXrD1hbl0N8fFyma7jp7zGnGwQAKN0ADgD//nsVQUGBmDbtO6XXIaLila9G8CtXruDkyZPYvn07fvrpJ3Tp0gV9+vSBq6trYcdHaiIgPAEnfN8AAKa3rgENjv2nFmrVqqNwIcXCwhKGhoYwMvr0VICpqSlevgwAADx69BApKckY0bMztryQ4o87wXCrbIJmzVoCAO7c8Ub16jUwZcp0AGmFW2hoMIKDg3H37m0AkHfpna5OHWf5/3V0dGBmZpZpTJeMpFIpBEHIdn5OF4bMzc0xc6Yn2rZtj99/3wYbG1scPLgfgEgec07S78g8e/Y0PD2/xdy5C9CpU9dMyx069Ac2bFiL9u07oV+/gQDS7uwDkO04hCKR4ngvenr6WLt2E+Lj47Fnz058/fVQbNq0PVMhqmxMn0tIiIen5ww8e/YES5f+Chsb21zXISJSV6wtidTfv6+icP/1B+hqaWAMn1IqtT4/v7C0zP38Ijk5Gc2atVQ4Tyjs8wsHC21UrV0OZ5+8h+efT7GxnzOcK5gAUP/zi6NHD8Hc3AKdO3fLcVs+Pvcxe/Z0VKhQCXPm/JBp/rt3b/Hvv1cxefL0TO+pQ4dOsLevCQ+PJvJxKD08mmDEiEHYtm1zro3gKSnJOH36FLp37wkTE5Nc3zdRacNalFTlhO9bBEcnwcJAG4M57KRaylgbiUQi1KhUHk9e6+BxeCp+vx2CrxtXVUltpE7XXhs1aowff/wJXl4rMWDA3wCAhg3dMXToSGzbtllhWMfcLFmyHCtWLMXcuWmNykZGxpg4cSp+/30b9PX1kZqaKl925cp18oeTHB1rY9Cg3jh69BDGj58MmUyW5TVcQRAKdczuo0cPoWZNBzRqxB46idRVvhrBLS0tMWrUKIwaNQpPnjzBmTNn4OnpCQ0NDXz55Zfo06cPLCwsCjtWUhFBELDmygvIBKCdgxVcOfaf2jA0zHxHm65u9ncsf/gQCwD4fdU8pD+j8P3JT/MjIsIBpHUzs3z5Uty79x+0tLRQpUo12NundSfzeRH1+R3SGhoaORZa33wzIV/j0nzOxsYWc+cugJaWNk6cOIJJk77JtYhJ756wUaPGCA9/j507f1O4SCWTybBhw1ocPLgPHTt2wfffz5cXTEZGaV2Zf363YGJi4sf5RgrTjY2N0bBh2hjjrq4N0b9/Txw6tB+zZ89TWM7dvTEEIfuYsvLu3VvMmjUNISHBWLTo50xj5RARlTSsLYnUm1QmYP21tLEqB7hWgK0Jn5ArrfJ7fvHdd99kOb8wzy9+6OiAmKRU3HgVjW+PP8JvA11gZ2mg1ucXUqkU165dRtu2HXJ8svzixfNYunQhKleuilWr1imMN57uypVLEIlEaN++Y6Z5trblM3VhntZbWGOcPHksx/cAALdv30JiYkKmJ8yJygrWoqQKiWIpfrsZBAD4unFVGOrk6zI9FbHPayNtTRGqWJniOYDfbgajuZ2lwvzirI2yo4raqGPHLmjfvhNevw6Fnp4erK3LYfv2LdDQ0FAYwiU3FhaWWLZsJeLi4hAREY6KFStBQ0MDK1f+DGNjE/nT3a6uDeUN4ABga2uLqlXt5L3jGBkZIyQkONP2k5KS8hRPTmJjY3D//l2MGze5ULZHREWjQH9dJRIJwsLCEBYWhsjISFSpUgU+Pj7YvHkz5s6di969exdWnKRCN15FwzsoBtqaIkxuYafqcKgA0htyf/xxMWwrVMLC834IiU5GvfLGmNG2BiwtLCGTyfDdd99AW1sbW7f+jpo1HaGlpYVXr17i/Pmcx0xRxqxZ38sbjrNiZWWd5fS9e3/H48ePsGzZrwrTa9Z0wJ9/Hkdc3AeYmpplWu/u3f8gFqegSZPmCtMdHWvhyZNH8tepqamYP/97XL16Cf37D8KUKd8q3DFYsWIlaGpq4vXrEIXtpL+uVs0OEokEV678g8qVq8DBwUm+jImJCSpUqIR3794pxNSzp+JFps9jykpAgD9mzJiClJQU/PqrFxo0cMtxeSKikoS1JZF6Ovf0HV5EJMJYVwvD3TlmKn2S8fyiSpUqmeabm1sU2vmFlqYGfu5RGxMOPcTjt3GYctQX2we5qO35BQA8ePAAMTExaNu2Q7bx7d+/G5s2rUP9+q74+edVmW6uTXfjxjXUr+8KCwvLLOZdR2qqGK1atVWYnpKSDFPT3G9iv3HjOsqXrwgnp9q5LktUmrEWpeK0724oohJTUdlMD32c2btfSWJuoI0udW1x7tFbzP/rGerIPjVIF2dtlJ3iro0CA1/h6dPH6NKlOypX/vSe/fyewt6+JjQ1NZWO/eLF86hWrTrs7WvC2Dgtl8+ePYFUKoWjoxOMjIxgbm6B1FRxpnUlEol8aJoqVari9u1bkMlkCg33r1+HoFq1wmnf8Pa+CalUirZtORY4kTrLVyP4gwcPcPLkSZw7dw4ikQg9evTA3r174eSU1uhz4cIFpYvDqKgoDBgwAIsXL4aHR9bdRly5cgW//vorQkJCUL58ecyaNQtt2rTJT+iURxKpDGuuvAAADHCtiEpmyndfQuqnTp260NbWRkTEe3Ts2Bkrytth2N778H0XioUrVmLO1MnQ0dFBcHAQpk6dgVq16sjXvXUrbRyX9G7B86tKlWr5Wi8uLg7Xr19BcHCgwvSHDx/AzMw8yyIMAM6e/RO3bv2Lw4dPye8WlEgkuHv3P9So8WmMl8WL5+PatcuYOvVb9O//Vabt6Orqon59V1y5cgmDBg2VN5BfuvQ/GBkZo3bttO6RNm70QpUqVbF69Qb5um/fvkVQ0Cu4ubkrxNS27acnuLOK6XPv3r3F9OmToKmpmWXX6kREJVVh1pZEVLhSJDJs/jftKaWRHpVhopf7OMlUdnx+fpEuIMAf69atxsiRowv1/EJfWxNretfF6AMPEBSdhClHffHbgPqoop/347Kozy/StvUQmpqaCu87oxMnjmLjRi+0bdsBP/ywKNunxQVBwLNnT/DllwOynP+///2N69evwNXVTd6deVJSEm7e/Beurg2zS4HckyeP4OzsnOtyRKUVa1EqblGJYuz9LxQAMLG5HbQ0C697Zip6IhGwuFdd3HoRiRcRidAKj5fPK+7aKCvFfe311asXWLJkAWrXrouqVat9nPYS3t43MXLkmDzFsGvXdlSvbo+FC5fKpx08uB9GRsbymqZx46a4evUSYmJiYGaWFlNwcCBCQoLQo8cXANJ63ty9ewe8vW+iSZNmAIDo6Gg8eHAPw4aNylNM2Xny5BHKlbPJ1BsPEamXfDWCDx48GM2bN8fChQvRtm3bTCdqtWrVQtu2bbNZ+5O7d+/C09MTwcGZu6ZIFxgYiClTpmDVqlVo3bo1/v77b0ybNg1///03bGxs8hM+5cFx37cIjEqCmb42RnlkvnuNShZTUzN89dUwbNu2GQkJCXB1bYjO+oE4d3MXQkWA1KQ8zM0tUL58BRw7dgjlypWDsbEJvL1v4vDhPwAAycnZjzlTlHr37osTJ45g1qxv0a5dB0REhGPt2pW4ePE8pk//Ltv1Bg8ehitX/sHMmd/gq6+GARBw+PBBBAa+lDdUX7v2f/buOzyKqgsD+Lst2fReaQmkUAIk9BZ6ERBERGwgqKBUBT9pomKjWUBBQVCsoFIFpAiiICgIIj3UEEIICSG9b7bd749N1oQESJ9s8v6eJ0+yM7OzZ8/Mbs7Mnbn3AH77bS+6deuO5s1b4ty5s0XWERQUDCsrK4wZ8xymTZuE11+fjcGDh+LcuTP44YfvMHHiVHM3kc8++zwWLnwbixe/i969TXF+/fUXcHJyxhNPjCoS0/PPP4+RI5+CEMVjAkwFo06nNd9V/tFHHyA1NQWvvDIH2dnZReK0s7NjozgRWazKqi2JqPJtPBWHhMw8eNpb4dHQ+3ebSHVLSccXiYm38cUXn0EmkyEgIAj29vaVenzhbKvC8hEt8dwPp3AtOQf/2xqBT0a0hFpV+ruMgKo9vihw+fJl+PrWM9+VVFhychKWL18Cb28fPPLIY7h06WKR+fXq1YeLiwsA08WwWVlZd71z6amnnsaBA79hxoyXMHr0WBgMBqxd+w1yc3Pw3HMvmJe78/gCMHXZHh19DX37DrhvzohqK9aiVN3WHIlBjs6A5t4O6BPkLnU4VA5u9taY2z8Qr2w7j6ikHLgbTA3XUtRGlaW8tVHnzt1Qr159vPXWXIwbNxE5OdlYsWIZfH3rYeTIJ8oUw4gRj+ODDxbC378xWrUKxb59e/Drr7/glVdmm7sxHzt2HA4dOoCXX56MsWPHQ6/XY/XqT+Hp6YUhQ4YBAEJD2yAsrC3efvt1TJr0IhwdnfDll6thb++Ahx56xPx6JdVGpXX1amSl3VVORFWnXI3g3333Hdq0aVNs+sGDB9G9e3fUr18fixYtuuc6fvrpJyxbtgwzZszA9OnT77lcu3bt0LevqVuJQYMGYcuWLVi/fj1efPHF8oRPpZSp0WPVX9EAgOe7NIKDmmPT1Abjx0+Em5s7tmzZiO+//xYODg7w8G+Gmw36YMGBWHxX3xMLFnyAjz/+APPnvwUrKxX8/Bpj0aIlWLbsQ5w+fQojRjxe7XF7e/vg449XYsWKZfj++2+h1+tx/Xo0Jk166a53RABA48YB+PTTL7Bq1adYsOAt6HRahIS0wieffI6QkJYAgAMHfgcA/PnnQfz558Fi6ygYK6dt2/Z499338OWXq/Dqq6/A3d0Tkya9ZG7cBoDBg4fCxsYW69Z9g19//QVqtRodO3bBhAlT4OLiao5pxYov8OWXn2H+/JJjAoAPP1yEW7fisWnTz9DpdDh8+BAA4IMPFhaLMTS0DT75ZHU5MktEJL3KqC2JqPJlavT46qjpguUXuvqVuZGR6obixxeOaNeuA55/frK5a+/KPr7wcVRj2SMt8fyPp3E6LgOv7riA9x5qAaVcdv8n56vK44sCSUlJcHBwLHE9R478hby8PNy6FY/Jk8cVm//qq/MwaNAQAEBKSjIA3HVdppg+x+rVK7BgwdvQ6XQIDQ3DnDmvo169+ublCh9fFMjISIfBYDB3OUpUF7EWpep0IzUXm8/EAwBe7O5fZCg+siw9A90xqLkn9v4LpOXqoNEZoFYpJKmNKkN5ayO1Wo0PP1yOZcs+xNtvvwYrK2t06tQFL7ww2dxrTmk99NBw5OXlYfPm9Vi79ms0bNgI8+a9i379/rurvl69+li58kusXLkc77zzBhQKOdq164gXX3y5yOvNn/8+PvlkKT799GMIYUTLlq3xzjsLzb3mACXXRqWVmpqCJk0Cyvw8IqpeMiGEuP9iRbVp0wYnTpwoMi0rKwvh4eE4efJkqdaRmJgIFxcXKJVKBAcH49tvvy2xO/TJkyejQYMGmD17tnnaokWLEBMTgxUrVpQ65qSkTJT9nRYlkwHu7g6Vsi5L8PEfUVh7PBb+rrb4fkzbEk8o1LWclEal5iQ7Gx7+pi5VEq/FA3ZlKxxKKz1Xhye//Re3s7QY0sILbzwQXKnrr+z95MSJ49i9ewfmzn2z4iuTCD87xTEnxTEnxTEnxVVFTgrWWV0qo7asbtwHi+Pns+JqWg4/OXQN3xy7gcZutvj+6bZQlKGBUSo1LYc1RhmPKywlj6di0zFl81nk6Y0Y1tIbr/YLLFdjQlUcX1hKDms65rHiakIOq7u2LKuaUotyP7dspf2szfn5AvZdTkQXfxd8PLzl3Rek6lWGWqnwtk7P1eHxb/5FYpYWj7eph//1alJdEVep2nDutbLUhP+jVH24vS1DWWrLUt/ae/36dQwePBgGgwFCCDRr1qzYMiVdNXk3Hh4epVouOzsbNjZFx6FWq9XIyckp9WsBpqRUVME66sIFerFpuVh/8iYAYFrPxlApSn7TdSknpVWpOSm0Dpms6OPK5GyrwjuDm2LC+jP4OSIBnf1d0L+pZ6Wtv7L3E19fX3Tv3tOi9zt+dopjTopjTopjToqripxUR34ru7Ykosp1OzMPP54wHQ9MDve3iAZwqntC6zvhnUFNMfvn89h69hY87a0xvkujMq/Hx8cX4eE9Kz9AIqqxWIuSFCLiM7DvciJkAKaGc0i72sBRrcJr/YPw0pZz+PHETfRo4oZ2DZ2lDqvCWBsRUW1R6kbwRo0aYePGjcjIyMDzzz+Pzz//vMh8a2trBAUFVXqANjY20Gg0RaZpNBrYlfGOWDe3yrvitDLXVVO9/stl6AwC4YHuGNq+4X2vpq8LOSmrSsmJjdz8p7u7Q5XdCQ4AA9wdMCUxB8t/j8TCXyMR3twHDVxtK/U1Kms/cXcPRsuWlXu3ulT42SmOOSmOOSmOOSnO0nIiVW1JRKWz+sh15OmNCK3niPDGrlKHQ3RXvQLdMaN3ABb/FonVR67D3d4KD7fyKdM6fHx84ePDMe+J6hLWolTdhBBYdvAaAGBwCy8EeFTdOT6qXl38XfFwK2/8dOYW3tlzCd+PaQs7K8seVpS1ERHVFmX6Ni64KnLHjh1o0KBBlQR0p6CgIERERBSZFhkZiZCQkDKtJzm5crpDd3NzqJR11WQnY9Ox+9wtyGXA5C6NkJycdddl60pOyqJSc5KdDff8P5OSMoFcY0XDu6enQn3wx8XbOBOXgUnfHcfnj7eGUiG//xPvg/tJccxJccxJccxJccxJcVWRk4J1VjUpaksiur9ryTn4+dwtAMDU7o05ViXVeCNCfZGYlYcvj97Aon1X4GZnhe5N3KQOi4hqONaiVJ3+jErBidh0WCvleKEcvZZQzfZSj8Y4Gp2KuIw8LN0fhdcG8CIaIqKaoEyN4G+++SbefPPNe47FvXDhwgoHVdjQoUPx1VdfYdeuXejfvz/27t2LY8eOYe7cuWVajxCotBPDlbmumsYoBJbsvwoAGNbSB03c7Ur1XmtzTsqrUnJS6PlCFH1cFRQyGd4Z1BRPffcvzsZn4pND0XipR+V1z8T9pDjmpDjmpDjmpDjmpDhLzIkUtSUR3d+KP6/BKICeAW5o5esodThEpTKhqx8Ss7T4OSIBr+64gJWPtkJL7r9EdA+sRam66I0Cyw+Z7gJ/LKwevB3VEkdElc3OSok3HgjGxA1nsO3cLXRt7Ipege73fyIREVWpMt3iKarpzGpYWBi2b98OAGjSpAk+/fRTrFq1Cu3bt8eKFSuwfPly+Pv7V0ssdc0vF27jQkIW7KwUeKErr0qsi3yd1HhjgKmr8bXHY3HoarLEERERUW1VXbUlEZXe6ZvpOBCZbOoVqhuPuchyyGQyvNovEF38XZCnN2L6T+cQnZIjdVhEVIOxFqXqsjPiFq4l58BJrcTYDux1oLZq28AZo9ubtu/8vZeRmJUncURERFSmO8HfeustAJV/FeSlS5eKPD558mSRx+Hh4QgPD6/U16TiNDoDPs2/KvGZjg3hamslcUQklV6B7ngszBfrT8bhrV8uYe3oNrxKlYiIKl1V1ZZEVD5CCHySfzwwNMQbfm62EkdEVDZKhRyLhjTHhA1ncP5WJl7cfBZfPhEKd3trqUMjohqItShVB43OgFWHrwMAnu3UEA5qyx4rmu5tQtdGOHY9FRdvZ+HN3ZewfERLyDm0EBGRZMo12G9SUhIWLFgAADh+/Di6dOmCBx98EFevXq3U4Kh6fXc8FreztPB1tMbjbepJHQ5J7MXujdHMyx7pGj1e3XERekPVjkdORER1F2tLoprhUFQKTt3MgLVSjvGd2SsUWSYblQIfPdwCDZzViM/Iw4tbziErTy91WERUg7EWpar0w4mbSMw/3zqita/U4VAVUynkeGdwU1gr5TgWk4Yf/r0pdUhERHVauRrB33rrLVy9ehVCCMyfPx+DBg1Cr1698Pbbb1d2fFRNErPy8O2xGwCAKd0bw1pZrl2DahErpRwLHmwGe2sFzsZnYMWf0VKHREREtVRl1pYpKSno168fjh49etdl/vjjDwwZMgShoaEYOHAg9u/fX5HwiWoFg/G/u8CfaFMPng68c5Ysl4utFZY90hKutipcSczGzO3noeNFvUR0FzzPSVUlNUeLb/LPt07s5g8rnm+tE/xcbfFyz8YAgE//vIbLt7MkjoiIqO4q13/es2fPYvny5UhMTMTFixcxefJkvPTSSzh37lxlx0fVZOWf0dDojWjl64i+Qe5Sh0M1RH1nG7yePz74d8dj8WcUxwcnIqLKV1m15b///ovHHnsMMTExd10mOjoaU6dOxUsvvYTjx49j6tSpmDZtGhISEir6Nogs2s7zCeaxKp9uz7EqyfLVd7bBR8NDYKtS4J+YNLz1yyUYOf4vEZWgsmpRg8GA0aNHY/bs2VUUKVmaNX/HIFtrQFNPe/Rv6iF1OFSNHm7lg+5N3KAzCLy26yI0OoPUIRER1UnlagTPzc2FWq3GkSNHEBQUBBcXF2g0GiiVHNPEEl1MyMSOCNOJ3+k9G0PGcUqokN7544MDwJu7L+FWhkbiiIiIqLapjNryp59+wiuvvILp06ffd7l27dqhb9++UCqVGDRoENq3b4/169dX9G0QWSyNzoBVf0UDAJ7pyLEqqfZo5uWAxUObQSGXYc/FRCw/eE3qkIioBqqs85yffPIJjh8/XkVRkqWJTcvF5tPxAIAp3f05LnQdI5PJ8Fr/QLjZWeFacg4+/iNK6pCIiOqkcjWCt2rVCm+++SZWr16Nfv36ISkpCa+++io6dOhQ2fFRFRNCYOmBKAgAA5p6IMTHUeqQqAYqPD74rJ8vQKtnV4JERFR5KqO27NatG3799VcMGjTonstFRkYiKCioyLSAgABcvHixXLET1QYbT8XhdpYW3g7WGBHKsSqpdunk54o3Bpi+99cej8X3/8ZKHBER1TSVUYseOXIEe/fuRf/+/aswUrIkK/+Mht4o0MnPBR0buUgdDknAxdYKbz5gqkE2nY7H75cTJY6IiKjuKVcj+Pz586HVatGuXTu88MILuHnzJrRaLebNm1fZ8VEV+/1KEk7EpsNaKceUcH+pw6Eaykopx6IhzeGkVuL8rUx8uP+q1CEREVEtUhm1pYeHR6nu1snOzoaNjU2RaWq1Gjk5OWWKWSbjT0k/zI3l5TAzT4evjprGqpzQzQ9qlVzyHFhaDi3lp6zfX7Upj4NbeJmPd5ceiMKvl25XW86lfu+14Yd5rB05rMkqWosmJydj7ty5+PDDD4vVmVQ3RdzKxN5LiZABmMrzrXVaJz9XPN2+PgDgnb2XEZfOHjaJiKpTufq58/T0xKJFi8yPW7dujc8++6zSgqLqodEZzF2xPN2+Prwd1RJHRDWZr5Mabw9qimlbzmHLmXi09HXAgy28pQ6LiIhqgeqsLW1sbKDRFD3xoNFoYGdnV6b1uLk5VGZYtQpzU3HVmcPPd19AZp4eTb0dMDq8CRTyGt5SUUrcD+9g89/17+7uDkApv/NqUx7/N6gZsgwCXx+Oxpu7L8PPxwldmrhX+evWphxKiXmsOObw7ipSixqNRsyYMQPPPPMMmjZtWqE4avrFAnRv/20/geUHTedbBzX3RLCXvWQxURkU+vzJZEUfF1tUVvT3/Uzq5oeTsek4G5+JuTsv4IvHW0OpKNe9iSSBsm5vsmzc3pahLNunXI3g2dnZ+P777xEdHQ2jsWi3yAsXLizPKkkC6/6NRXxGHjztrfB0+wZSh0MWoIu/K8Z3aYTVh69j0b5IBHrYI9iTxTwREVVMddaWQUFBiIiIKDItMjISISEhZVpPcnImhKjMyCyfTGY6wc7clF915/BWhgZf/WkaI3lCl0ZITcmq+hetYtwP7yI7GwXNvUlJmUDuvYc3qq15nNipAW4kZeG3y0kY/81xfP54awRV0fFMbc1hdWMeK64m5LAghpqqIrXoqlWrYGVlhdGjR1c4jpqcIyq9s0ka/HsjHVZKOV4dGgJ3Z/YOYBHKccFgWT6zK59uh0EfH8K5+Ex89W8c5gxqVq4wSTr8jq5buL1rj3I1gs+ZMwcnT55Ex44doVKpKjsmqgYJmXn4Or/bw5d6NIZapZA4IrIUz3VqiIj4TPx1LQUzt5/Hd6PC4Kjm9wAREZVfddaWQ4cOxVdffYVdu3ahf//+2Lt3L44dO4a5c+eWaT1CgCfj74K5qbjqyuHqw9ehNQi0qe+ELn4utWq7cT+8Q6FcCFH08T2fVsvyKJfJ8NbApkjNOYsTsel4cfM5fPlkKHyqsFe02pZDqTCPFccc3l1FatFt27bh9u3baNeuHQCYexzat28fjh8/XqZ18WIPyyaTAc4u9nh3h+mC28dCfWGt15suPqOarwwXDJbn4iI1gNf6B2Hm9vNYdTAKzd1t0bWxa4XDpqpXEy4mo+rD7W0ZynKBZbkawY8ePYpNmzahQQPePWyplh+MgkZvRGtfR/QL9pA6HLIgphNHwXh67QnEpWswb/clfDisBeTsI4SIiMqpqmvLsLAwvPXWWxg6dCiaNGmCTz/9FB988AHmzp2LevXqYfny5fD351h9VLdcTcrGjogEAMDU7v6QsZajOsJaKccHD7XA+PWncDUpBy9uPovPHw+Fsw0v7CWqqypSi/7yyy9FHs+ePRsAinSvXlq8UMHybT4Ri6tJOXBUKzG2YwNuT0tSjgsGy/qZ7RXojkdDfbHxVBzm7b6EdaPbwNPBusyhkjT4HV23cHvXHuUafMLa2hpeXl6VHQtVk9M307HnYiJkAF7p3YQnvKjMnGxUeG9oC1gr5fgzKgVr/o6ROiQiIrJglV1bXrp0CR07djQ/PnnyJIYOHWp+HB4ejm3btuHkyZPYsWMHevToUWmvTWQpVvwZDaMAege6I8THUepwiKqVg1qJj4e3hKe9FaJTcvG/rRHQ6AxSh0VEEuF5TqoMGp0BS3+9DAAY26EBe02kEr3UozGCPOyQlqvD3J0XoDfce4gaIiKqmHI1gj/55JNYtGgRUlJSKjseqmJGIfDh/qsAgKEtvdHUi2MbUPkEe9ljZp8AAKauNP+ITJI4IiIislSsLYmq16nYdBy8mgyFDJjYzU/qcIgk4eVgjWWPtISDtRJn4jLw2s6L0Bt5uwdRXVSZteiiRYvKdRc4Wb61x2MRn66Bt4M1RobVkzocqqGslXIsHNIcdlYKnLqZgeWHrkkdEhFRrVau7tA3bNiAuLg4/PDDD8XmXbhwocJBUdXZEZGACwlZsLNSYGJXP6nDIQs3NMQbFxOysPFUHN7YdQlrnrRBgLud1GEREZGFYW1JVH2EEOaTbQ+19IGfq63EERFJp4m7HZYMa4HJm87gj6vJeP+3SMzuG8De0ojqGNaiVFGJWXn4+ugNAMDUHv6wVpbrvjOqIxq62GDeA8GYuf08vv/3JkJ8OFwpEVFVKVcjOK9otExZeXp8mn/Ca1znRnCzs5I4IqoNXu7ZGNeSs3H8Rjpe2RqBr58K43h6RERUJqwtiarPwavJOBOXAbVSjvGdG0odDpHkQus74Z3BzTB7+3lsORMPNzsVnu/iJ3VYRFSNWItSRX166Bo0eiPaNHRGfzZmUin0CnTH0+0b4Nt/buCdPZcQ4G4HfzdenEpEVNnK1QjeoUMHAEB6ejpu3LiB5s2bQ6/Xw8qKjao12edHriMlR4eGLjZ4LMxX6nCollAqTN34jFl3EjfTNZiz4wKWDw+BUsGrXomIqHRYWxJVD71R4NND0QCAJ9vWg7u9tbQBEdUQvQPdMbNPABb/FonPj8TAQa3CE23YlS1RXcFalCoi4lYmdp6/DQCYN6QFZDIZBEfXoFKY2M0P529l4PiNdMzcbrqxyM6qXM01RER0F+VqpcrOzsb//vc/dOzYEaNGjUJ0dDT69euHqKioyo6PKsmVxCysP3ETAPC/Xk2gYgMlVSJnGxU+HNYCtioFjsek4aM/+F1ARESlx9qSqHrsOHcL11Jy4KRWYnT7BlKHQ1SjjAj1xYSujQAAS/Zfxc6IBIkjIqLqwlqUyksIgSX7rwIABjf3ROsGztIGRBZFKZdh/oPN4GlvheiUXLy75zIEr6AgIqpU5WoJfe+995CTk4Pdu3dDpVKhQYMG6NWrF+bPn1/Z8VElMAqBxfsiYRCmK9y7+LtKHRLVQgHudnh7UDAAYP3JOGw7Gy9xREREZClYWxJVvVydAasOXwcAPNupIeyteZcJ0Z2e7dgQT7Y13QH+zp5L+CMySeKIiKg6sBal8vr1UqJ5mJnJ4f5Sh0MWyNXWCguHNIdSLsO+y0lYezxW6pCIiGqVcjWC79+/H4sWLYK/vz9kMhlUKhVmz56Ns2fPVnZ8VAl2RiTgdFwGbFRyTO/ZWOpwqBbrEeCOF7qY7p5YtC8SJ2LTpA2IiIgsAmtLoqq39ngskrK1qOekxojWHBqJqCQymQwv9WiMB1t4wSCAV3dcwPGYNKnDIqIqxlqUykOjM2DZwWsAgDEdGsDTgcPMUPm08nXE9J5NAADLD17DX1EpEkdERFR7lKsR3Gg0msfFKeiio/A0qjkyNDoszy/IxnVqBG9HtcQRUW33XKeG6BvkDr1RYMa284hOyZE6JCIiquFYWxJVraRsLb775wYAYHK4P6yUHBqJ6G7kMhnm9g9CzwA3aA0C/9sagbNxGVKHRURViLUolce6f2ORkJkHLwdrjGpXX+pwyMI9GuqDYS29IQDM3XkB15J5PpWIqDKU6+xHp06d8PbbbyM3NxcymQwA8NFHH6FDhw6VGhxV3Io/o5Gaq4O/my2eyO/WjagqyWQyzHsgGC19HJCh0WPalnNIydZKHRYREdVgrC2Jqtbqw9HI1RkR4uOAvkHuUodDVOMp5TK8O7gZ2jd0Ro7OgBe3nMXFhEypwyKiKsJalMoqITMPXx81XWD4Ynd/qFUKiSMiSyeTyTCzTwDC6jshW2vAy1vPIT1XJ3VYREQWr1yN4HPmzEFUVBTat2+PzMxMhIWF4Z9//sGsWbMqOz6qgIhbmdhy2jQu86w+AVApeMcHVQ+1SoEPhrVAPSc1bqZr8PLWCGh0BqnDIiKiGoq1JVHVuZqUjW1nbwEApvVobD65T0T3Zq2U48NhLRBazxFZeQZM2XQWkUnZUodFRFWAtSiV1UcHrkKjN6K1ryP6BXtIHQ7VEiqFHIuHNIOvozVi0zSYs+MC9Aaj1GEREVk0ZXmepFarMWnSJJw9exZNmjSBh4cHwsLCoFDwqreawmAUWLzvCgSAB5p5om0DZ6lDojrG1dYKHw0PwXM/nMK5+ExM+/EU3n4gEDLwxCsRERXF2pKo6nxy6BqMAugZ4IbW9ZykDofIotioFFj6cAgmbzqL87cyMXnjGax+rDUaudpKHRoRVSLWolQWR6NTse9yEuQyYGafAF5gSJXKxdYKHwxrged+OIV/YtKw9EAUZvQJkDosIiKLVeZG8C+++AKffPIJ8vLyzOPk2NnZ4eWXX8ZTTz1V6QFS+Ww9G48LCVmws1LgpR6NpQ6H6ig/V1u8/1BzTNl0Fr9E3IK7jZL7IxERFcHakqjq/BOTij+jUqCQyzAl3F/qcIgskr21EsuGh2DixjO4kpiNSRvPYNVjrVHf2Ubq0IioErAWpbLQ6o147/dIAMCjob4I8rSXOCKqjQI97PH2wKaYsf08NpyKg5+bLR4N9ZU6LCIii1Sm/rE3btyIzz77DHPnzsXBgwdx7tw5/PHHH3jllVfw8ccfY8+ePVUVJ5VBYlYePjl0DQAwsasf3O2sJI6I6rI29Z0x74FgAMDa47HYcPKmxBEREVFNwdqSqOoYhcDHf5iOCR5p5cM7V4kqwMlGhU9HtIS/qy1uZ2kxccMZxKblSh0WEVUQa1Eqq3X/xiImNReutipM6OondThUi/UMdMekbn4AgA9+j8QfkcnSBkREZKHK1Aj+/fffY+HChXj00Ufh4eEBpVIJLy8vPPHEE3jzzTfx3XffVVWcVAbv/RaJrDwDmnnZ4xFeJUY1wAPNPDFjgKkh/IPfr2LvxdsSR0RERDUBa0uiqrMzIgGXbpt6hhrXuaHU4RBZPBdbK6x4tCUautjgVmYeJrAhnMjisRalsojP0GDN3zEAgJd6NIa9dblGGSUqtbEdGuChlt4wCmDuzguIiM+QOiQiIotTpkbw6Oho9OrVq8R5ffv2RVRUVKUEReX3++VEHIhMhkIuw+sDgqCUc1waqhkm9WyCR0N9IADM230JR6JTpA6JiIgkxtqSqGpk5enNPUM916khXGzZMxRRZXC3t8aqka3QyMUGCZl5eGH9aTaEE1kw1qJUFkv2X0We3oiw+k4Y2MxT6nCoDpDJZJjdJwBd/F2Qpzdi+k8RrDuIiMqoTI3gMpkMSmXJV7lZWVlBo9FUSlBUPum5Oiz+zTQuzdgODRDowXFpqOaQyWSY0ScA/YM9oDcKzNx2HqdvpksdFhERSYi1JVHV+OpoDFJydGjoYoPH29STOhyiWsXd3hqfPdYafq42uJ2lxQvrT+NGKk9IE1ki1qJUWn9FpZhuOpIBM/sEQCbjTUdUPZQKORY+2BxNPe2RmqvDi5vPIjVHK3VYREQWo0yN4FSzffxHFFJydPB3tcWzHdnlIdU8cpkMbw4MRmc/F2jyr2CMTMyWOiwiIiKiWiMmNRff/3sTADC9Z2OoFDzkI6ps7nZW+Gxka/i7mcYIf2HDaUSn5EgdFhERVQGNzoD3fzfddPR4m/oIcLeTOCKqa2ytFFg6PAS+jta4kabB/7ZGQKMzSB0WEZFFKNPgJXq9Hlu3br3rfIOBX75SORqdip8jEiADMLd/IKyUPNlFNZNKIcd7Q5tj8qazOBOXgSmbz+KLx1ujvrON1KEREVE1Y21JVPk+OnAVeqNAZz8XdPV3lTocolrLzc4KKx9thUkbzyAqOQfP/3gay0e0RLAne2QjshSsRak0Pj8Sg5vpGnjYW2F8F950RNJwt7PCx8Nb4rkfT+FsfCZm/XweHzzUghe8EhHdR5kawd3d3bFs2bK7zndzc6twQFR2OVoDFvx6GQAwMswXres5SRwR0b2pVQosfbgFJmw4gyuJ2Ziy6Sw+f7w1POytpQ6NiIiqEWtLosp1JDoFh6JSoJDL8HLPJuyqk6iKudlZ4bORrfDi5nO4eDsLEzacxkcPh/CYnMhCsBal+7mYkIl1x28AAGb1CYCdVZlOpRNVKj83WywZ1gJTNp3F4WupeG3nRcx/sBmUctb8RER3U6b/3L///ntVxUEV8Nlf0YjLyIO3gzUmdfOXOhyiUnFUq7DskZYY/+MpxKZpMGHDGXw2shUbwomI6hDWlkSVR28wYsn+qwCAx8J84edmK3FERHWDi60VVo5shZd/OoeTNzMwZdNZvP9Qc3RmTwxENR5rUboXvcGId/ZchkEAfYM80CPAXeqQiNC6nhM+eKgFpm89h9+vJOHdvZfxxoAgyHnxKxFRidhfhoU7E5eBH0+Yxvx7tX8gbK0UEkdEVHrudlZY8Wgr+DhaIyY1FxM2nEFiVp7UYRERERFZnA2n4hCdkgsXGxXGdWokdThEdYq9tRLLHmmJzn4u0OiNmP5TBH67nCh1WEREVAHfHY/F5cRsOKmVeKV3E6nDITLr6OeCBYObQSEDdkYk4IPfr0IIIXVYREQ1EhvBLVi2Vo95uy9CABjcwgud/XilOVkeH0c1PhvZmg3hREREROWUmJWH1YevAwAmdvODg5pddRJVN7VKgQ+HtUDfIHfojQJzfr6Ab49ESx0WERGVQ3RKDr44YqqtXu7VBG52VhJHRFRUz0B3zBsYDBmAjafi8Omf0VKHRERUI7ER3IIt3R+F2DQNvB2s8UovXpFIlsvXydQQ7u3wX0N4EhvCiYiIiEplyf4oZGsNaO7tgKEh3lKHQ1RnqRRyvDu4GYa19IZRAG9si8Dyg9dg5N1ZREQWwygE5u+9DK1BoJOfCwY285Q6JKISDWzmhdl9AwAA3xy7gc/+iuYd4UREd2AjuIXafyUJ287dggzAW4OCYW/Nuz3Isvk6qfHZY63MDeEvsCGciIiI6L4OX0vBvsuJkMuAV/sGQiHneIBEUlLIZXi1XyAmdDUNS/DNsRt4Y9dFaPVGiSMjIqLS2Hw6HqduZsBGJcer/QIh41jLVIMNb+2LaT0aAwDW/B2DTw6xIZyIqDDJGsGTk5MxadIktGvXDh07dsT8+fOh1+tLXHbcuHFo2bIlwsLCzD8HDx6s5ohrjqSsPMzfexkAMLp9A7Sp7yxtQESVpJ6TTZGG8OfXn0ZcukbqsIiIiIhqJI3OgMW/RQIAHm9TD8Fe9hJHREQAIJPJMK5zI3z4aGso5DLsuZiIF7ecRaam5HMeRERUM9xMz8UnB68BAKaE+8PHUS1xRET391S7+pje09QQ/u0/N/DRH1FsCCciyidZI/i0adNga2uLQ4cOYdOmTThy5Ai+/vrrEpc9d+4c1qxZg5MnT5p/unfvXr0B1xBCCLy95zLSNXoEediZry4nqi3qOdlg5chW8HG0xo00Dcb/eApRydlSh0VERERU43x5NAZx6Rp42lvhhS5+UodDRHd4pG19fDw8BHZWCvx7Ix3PfH8S11NypA6LiIhKoDcKvLHrEnJ0BoTWc8SIUF+pQyIqtSfb1sesPqau0b//9ybe//0qh2MhIoJEjeDXr1/HsWPHMGPGDNjY2KBBgwaYNGkS1q1bV2zZGzduID09Hc2bN5cg0ppn46l4HIlOhbVSjncGN4VKwR7tqfap72yDLx4Phb+bLW5nafH8j6dxLj5D6rCIiIiIaoyo5Gx8908sAGBG7wDYWikkjoiIStLJzwWrH2sNT3srXE/NxTPfn8Lf0SlSh0VERHf45lgMzsRlwM5KgbcGNoWc3aCThRkR6ovX+gdCBmDjqTgs/PUKG8KJqM6TZCDpK1euwNnZGV5eXuZpTZo0QVxcHDIyMuDo6GiefvbsWdjZ2WH69Ok4e/Ys3N3dMXbsWIwYMaJMr1kZdUvBOqSqga4l52DZwSgAwNTu/mjibidNIIVInZOaqFJzUmgdMlnRx5akPDnxcrTG54+3xrQt53AuPhOTNp7B+w+1QCc/l6oJsprxs1Mcc1Icc1Icc1JcVeSE+SWq2YxCYNGvV6A3CnRv4oaege5Sh0RE9xDkaY9vR7XBzO3ncSYuAy9tOYcXuzfGk23rcaxZIqIaICI+A58fvg4AmNknAL5O7AadLNNDLX2glMvx9p5L2Hr2FrLy9HhzYFNYK3kjHRHVTZI0gmdnZ8PGxqbItILHOTk5RRrBtVotQkNDMX36dAQGBuLo0aOYOnUq7OzsMHDgwFK/ppubQ+UEX8nrKi2NzoB5604hT29E9yAPTOobDLm85hwsS5GTmq5ScmLzX4Hi7u4A2El/4UNFlDUn7gDWT+iCCWv/xaErSZj+0zl8/HgYBrX0qZoAJcDPTnHMSXHMSXHMSXHMCVHdsf3sLZy8mQG1Uo4ZvZtIHQ4RlYKbnRVWPtoKi3+7gu3nEvDRH1G4kpSN2X0CoFaxJwciIqnkaA14fddFGATQL9gDA5t5Sh0SUYUMbuEFlUKGebsvYd/lJKTknMUHD7WAg1qSpiAiIklJ8s1na2uL3NzcItMKHtvd0cg3bNgwDBs2zPy4W7duGDZsGHbv3l2mRvDk5ExUtPcPmcx0grky1lVWb/9yCefjM+Bso8Kc3o2RkpJVvQHchZQ5qakqNSfZ2Si4rycpKRPINVY0PElUNCeLBzfFG7suYt/lJExedwIv92qCx9v4WvRdE/zsFMecFMecFMecFFcVOSlYpyVJTk7G66+/jmPHjkGhUGDo0KGYNWsWlMri5e64ceNw9OjRIvM+/vhjdO/evTpDJiqX+AwNPvrD1DvUC1394O3IO5WILIWVUo7X+gch0MMeHx24ip0RCbh8OwuLhjRHQxeb+6+AiIgq3dIDV3EjTQNPeyvM7htg0eeaiAr0b+oJZxsVZm4/jxOx6Xh+/Wl8PDwEng7WUodGRFStJGkEDwwMRFpaGpKSkuDubmriu3r1Kry9veHgUPSE66ZNm4rd9a3VamFtXbYvbCFQaSeGK3NdpbH1TDy2n0uAXAbMH9wU7nbWNe7Ef3XnxBJUSk4KPV+Ioo8tUXlzolLI8e7gZnCyicTm0/H4cP9VRKfk4JVeTaBUWHZ3PvzsFMecFMecFMecFFfXczJt2jR4eXnh0KFDSEpKwsSJE/H1119j3LhxxZY9d+4c1qxZgw4dOkgQKVH5GYXAO3suI1trQCtfRzzRpp7UIRFRGclkMjzeph4au9nitZ0XcSUxG0+vPYG5/YPQL9hD6vCIqJwuXryIxYsXIyIiAiqVCl27dsXs2bPh6uoqdWh0D39EJmHr2VuQAXhrYFM4qlVSh0RUaTo0csGqx1rjpS3nEJmUjWd/OIVlj4SgsZtl9zRKRFQWkrQe+fn5oW3btliwYAGysrJw48YNrFixosRxvrOysvDOO+/g/PnzMBqNOHDgAHbs2IHHHntMgsir34WETLz/eyQAYEJXP3RoVDvGQyYqK4Vchll9AvBSj8aQAdh8Oh7TfjqHTI1e6tCIiEhi169fx7FjxzBjxgzY2NigQYMGmDRpEtatW1ds2Rs3biA9PR3NmzeXIFKiitl8Oh7/xKTBWinHvAeCoahBwyMRUdl0aOSCdU+3QVh9J2RrDXh1xwW891sktHrL7P2LqC7TaDQYN24cwsLC8Oeff2LHjh1IS0vDq6++KnVodA+3MjR4d+8VAMBT7eqjXUNnaQMiqgLBnvb48olQNHKxQUJmHsb/eBrHrqdKHRYRUbWR7BbKZcuWQa/Xo0+fPhg5ciTCw8MxadIkAEBYWBi2b98OABgzZgxGjRqFKVOmICwsDB988AEWL16Mdu3aSRV6tUnP1WH29vPQGgTCG7tiTIcGUodEJCmZTIZR7erj/YeaQ62U4+j1NDz7w0nEpuXe/8lERFRrXblyBc7OzvDy8jJPa9KkCeLi4pCRkVFk2bNnz8LOzg7Tp09Hp06d8OCDD2LTpk3VHTJRmcWm5WJZfjfoU8L92XUyUS3gYW+NFY+2wtj8Y/2Np+Lw7A+nEJWcLXFkRFQWcXFxaNq0KSZPngwrKyu4uLjgsccewz///CN1aHQXWr0Rc3ZcQFquDsGe9pjY1U/qkIiqjK+TGl88EYqWPo7I0Ojx4uazWH/iJkRd7kqOiOoMSbpDBwB3d3csW7asxHknT540/y2TyTBp0iRzA3ldYRQCb+y+iLiMPNRzUuOtgU0h55g0RACAHgHu+OLxULy89RyiU3Ixdt1JvP9QC4TVd5I6NCIikkB2djZsbIo2CBY8zsnJgaOjo3m6VqtFaGgopk+fjsDAQBw9ehRTp04tNvzO/bAsK64gJ8xN+d0th0Yh8PaeS9DojWjbwAmPtfFlnu+C++FdFMqHTFb0cYmLM48VVtocqhQyTOnuj7D6Tnhj90Vcup2F0d+dwORwfzzRtl6dPw/AfbHiakIOa/v2a9y4Mb744osi0/bs2YMWLVqUaT21PU81yUd/XMW5+Ew4qpVYPLQZrFUVv0+sJnzWqALKUCtZ4rZ2sVVh5ciWmP/rFew+fxsf7L+KyKRszOobAJWFDzVZ1Sxxe1P5cXtbhrJsH8kawene1vwdg8PXUmGtlGPx0OZwUHNTERUW7GWPr58Kw/+2RuBCQhYmbjyDF7v744k29SDjfykiojrF1tYWublFewUpeGxnV3S8s2HDhmHYsGHmx926dcOwYcOwe/fuMjWCu7k5lD/gWo65qbg7c/jFoSicjM2AnZUCHz3RBp6uthJFZjm4H97B5r+Tm+7uDoBd6caCZB4rrrQ5fMjdAZ2bemHm5jM4cCkRSw9E4UhMGj54tDXqu/Azz32x4pjD6iGEwEcffYT9+/dj7dq1ZXout1H1+OlkLDaeiodMBnz8eBhCAzwrdf3cjhaqHLWSJW7rFaPb4fNDUVi0+yK2nr2F2Iw8rBzVFh4O1lKHVuNZ4vam8uP2rj3YsloD/RmVjM8PXwcAzO4bgGBPe4kjIqqZPOytsfqx1nhnz2XszT9RdPpmBl4fEAR7a369ERHVFYGBgUhLS0NSUhLc3d0BAFevXoW3tzccHIoeuGzatKnYXd9arRbW1mU76E9OzgR7jytKJjMdKDI35VdSDiMTs/H+nksAgBd7+MPGaEBSUqaEUdZs3A/vIjsb7vl/JiVlArn3Hneaeay48uRQDuD9B5tiS0MnLN0fhb+jUjBg6UG81KMxhrXyrpN3hXNfrLiakMOCGGq7rKwszJkzBxEREVi7di2Cg4PL9Hzu51XvSmIWZm8+CwAY16khWrrbVFpdVRM+a1QBZaiVLH1bD2/uCW8bJV7dcQHHr6fiwWUHsXBIc7Tydbz/k+sgS9/eVDbc3pahLLUlW4lqmAsJmXh1xwUIAMNb+eDBFt5Sh0RUo6lVCrw7uCla13PE0gNR+P1KEiKTsrF4SHMEeJTuDhciIrJsfn5+aNu2LRYsWIC3334bqampWLFiBUaMGFFs2aysLCxZsgSNGjVC06ZNcfDgQezYsQNr1qwp02sKAR4Q3QVzU3EFOczRGjD75/PI0xvR2c8FD7f0YW5LifvhHQrlQoiij+/5NOaxwsqeQxmGt/JF+wYuePOXSzgTl4EFv17BrvMJmNMvEI3d6uYxDvfFimMOq1ZMTAzGjx8PX19fbNq0Ca6urmVeB7dR1crU6DFj23911bjOjaok39yOFqoctZIlb+vOfq746skwvLI1AtdTczH+h1OY1M0fo9rXr5MX3ZWGJW9vKjtu79qDAz7UIPEZGkz/KQK5OiM6NnLGjN5NpA6JyCLIZDKMDKuHzx9vDS8Ha8Sk5mLs9yexI+KW1KEREVE1WbZsGfR6Pfr06YORI0ciPDwckyZNAgCEhYVh+/btAIAxY8Zg1KhRmDJlCsLCwvDBBx9g8eLFaNeunZThExUjhMCifVcQnZILD3srvDUwmEO+ENUhDVxssPqx1pjeszFsVHKcupmBp749gZV/RSNPf+87+YmoeqWnp2PMmDFo06YN1qxZU64GcKpaBqPAvN0XEZumgY+jNd4e1JQNfVTn+bna4uunwtAv2AMGASw/dA3TfzqH1Byt1KEREVUa3gleQ2Rq9HhpyzkkZ2sR4G6HRUOaQ6ngNQpEZRHi44i1o9vgjV0XcSQ6FW/9chlHr6dhZu8AOKj5dUdEVJu5u7tj2bJlJc47efKk+W+ZTIZJkyaZG8iJaqqfzyVg94XbkMuA+YObwcXWSuqQiKiaKeQyPNm2PnoHuuO93yJxKCoFX/4dg18v3sZLPZqgexNXXhxDVANs2bIFcXFx2L17N3755Zci8wrXoSSdj/+IwqGoFFgpZFg8tDmcbVRSh0RUI9hbKzF/cFO0b+iMD/dfxeFrqXjquxN4d3BTtKnvLHV4REQVxlbWGkBnMGLm9ghcS86Bh70VPhoewvGMicrJ2UaFj4aH4IUujSCXAb9cuI3HvzmOY9dTpQ6NiIiIqFQiE7Px3u+RAIAJXf0QVt9J4oiISErejmp8OKwFFg9tDg97K9xI0+CVbRGYtOksLt/Okjo8ojrvmWeewaVLl3Dq1CmcPHmyyA9J78cTN/HDiZsAgHkPBKOZV+0fn56oLGQyGR5u5YOvnwyDn6sNErO0mLjhDJYfjGLvM0Rk8dgILjEhBN7dexnHb6TDVqXA0odD4OVgLXVYRBZNLpNhXOdG+PzxUDRwVuN2lhaTN53Fh/uvQqMzSB0eERER0V1l5+nN44B38nPBmA4NpA6JiGoAmUyG3oHu2DC2HcZ0aAArhQzHY9Iw6rsTeHfPZSRls+tSIqI7HbiShCX7rwIApob7o39TT4kjIqq5Ajzs8M1TbfBgCy8YBfDtP7EY/d0JRNzKlDo0IqJyYyO4xD47fB27zt+GQgYsGtoMwZ72UodEVGu08nXEuqfb4pHWPgBMV/8+vfYkzrN4IyIiohpICIE5W86axwF/e2Awx6skoiLsrZWYEu6Pjc+0R98gDwgA287dwrAvjmHZH1Ecx5OIKN+5+Ay8tusiBIBHWvtgdPv6UodEVOPZWikw74FgfPBQC7jaqnAtJQfPfX8SK/+8Bi3vCiciC8RGcAl9dTQGX/4dAwCY3TcQnf1cJY6IqPaxUSkwu28gPhoeAjc7K1xLycEz35/Ekv1Xka3VSx0eERERkdmav2Ow/XQcFDLg3cFNOQ44Ed2Vr5MaC4c0wxePt0aIjwPy9EZ8dzwWD31xDJ8euoa0XJ3UIRIRSSY2LRcv/xSBPL0R3Rq74pXeAZDxwkKiUusR4Ib1Y9thQFMPGATw5dEbeHrdCZyKTZc6NCKiMmEjuES+OhqDFX9GAwAmd/PDsFY+0gZEVMt19XfFj2Paon+wB4wC+OHETYz86jgOXEmSOjQiIiIi7L14G5/9dR0AMLNvANrUd5Y2ICKyCK3rOeHLJ0Kx9OEWaOppj1ydEV8fu4FhXxzD8oNRuJ2ZJ3WIRETVKjErDy9uPovUXB2aetpj/uBmUMrZAE5UVs42Krw7uBkWD20OFxsVriblYPz603jrl0tIYc8zRGQh2Aguga8LNYBP6uaHsR0bShsQUR3hbKPC/AebYdkjIfB1Mo0VPmP7efxvawRuZWikDo+IiIjqqLNxGXjrl0sAgOe6+eOR1r4SR0RElkQmk6FbYzd8OyoMHzzUHIEedsjWGvDtP7EY+sUxvLn7Iq4kZkkdJhFRlUvKysOEDWdwI00DX0drLH24BWytFFKHRWTRege6Y8Mz7TCspTcAYEdEAkZ8eRybTsXBYBQSR0dEdG9sBK9m3x67gU/zG8AndvXDM2wAJ6p2nf1csX5MW4zt0AAKuQwHryZj5NfHsebv69DoDFKHR0RERHVIfIYGr2yLgNYgEN7EFa8OaiZ1SERkoWQyGXoEuGPt6Db44KEWCKvvBINRYOf523jy2xOYvPEMfr+SBL2BY3oSUe2TlK3FhA1nEJOaC28Ha6wc2Rru9tZSh0VUKzjbqDC3fxC+fCIUwZ72yMzTY/FvkXjm+5M4HpMmdXhERHfFRvBq9N0/N7D80DUAwAtdGuHZTmwAJ5KKWqXA5HB/rBvdBqH1HJGrM+Kzv67jkS//wY6IW7ySkYiIiKpcVp4e0386h5QcHQI97DB/cDMo2F0nEVWQXCZDjwA3rH6sNb5+MhR9gzwglwHHYtIwa/t5DPn8GFb+FY149oZFRLVEcrYWkzacwfXUXHg5WOOzx1rB10ktdVhEtU5LX0d881QYZvRuAjsrBS4kZGHixjOYtuUcIhOzpQ6PiKgYNoJXAyEEVh+OxrKDpgbw57s0wrjOjSSOiogAoIm7HVY91hrzBzeFj6M1bmdp8dYvl/H02hM4dj1V6vCIiIiolsrVGTD9p3O4mpQDdzsrLBnG7jqJqPK18HHEwiHNsOW59ni6fQO42KiQlK3Fl3/H4KHPj2HqprPYdT4B2Vq91KESEZVLSo4WEzeewbWUHHjaW+Gzka1Qz8lG6rCIai2FXIaRYfWw5bn2eDTUFwq5DH9dS8GT3/6Lt365xCEniahGUUodQG2nMxjx7t7L2HX+NgBTA/h4NoAT1ShymQz9m3qiR4A7Npy8iS+PxuByYjYmbzqLTn4ueL5zI7T0dZQ6TCIiIqolNDoDXt4agVM3M2BvrcDSh1vA25F3KxFR1annZIOp3f0xoWsjHIhMxpYz8Tgek4a/r6fi7+upsFbK0aOJGx5o5omOjVxgpeQ9E0RU88VnaPDS5nPmBvBVj7VGfWc2gBNVB1dbK8zsE4DH29TDij+v4bfLSdgRkYA9F29jaIg3xnRoAB8e4xCRxNgIXoUyNDrM2n4ex2+kQyEDZvUNxMOtfKQOi4juwlopx+j2DTCkhTe++Ps6Np2Ox9/Rqfg7OhUdGzljfOdGaF3PSeowiYiIyILl6Y2Ysf08jsekwValwLLhLdHUy0HqsIiojlAp5OgX7IF+wR64kZqLXy7cxi8XbyMmNRd7LyVi76VE2Fkp0NXfFT0C3NDF3xX21jx1REQ1z8WETEz7KQLJ2Vp42lth5Ug2gBNJoaGLDRYNaY6zcRlYfugaTsamY/PpeGw9ewuDm3tibIeGaODCzyYRSYNHMlUkLl2DaVtMVyLaqhRYNLQZOvu5Sh0WEZWCs60Kr/Q2Xcn41dEY7Dx/G0evp+Ho9TS0a+iMcZ0aok19J8hkHLOTiIiISk9nMGL2z+fxd3Qq1Eo5Ph4ewt5miEgyDVxsML5LI4zr3BDnE7Lwy4Xb2HcpEUnZWnODuEohQ9sGzujs54JOfi7wd7XlcRARSe6vaymY8/N55OqMCHC3w0fDQ+DlYC11WER1WktfR6wa2QonYtOx5u8Y/BOThu3nErAjIgH9gj3wRJt6aOHDYx8iql5sBK8CEbcy8fJP55CSo4OnvRWWPhyCIE97qcMiojKq72yD1wcE49lODfH10RvYEZGA4zFpOB6ThhbeDni8TT30CXKHSsGuAomIiOjetHoj5u68gD+jUmCtlGPJwy0QWp89zBCR9GQyGVp4O6CFtwOm92yMiPhMHIhMxoHIJMSk5pp7xwIAT3srdPZzRfuGzgir7wRPNjoRUTX76Uw8Fu+7AoMAOjR0xuKhzdljBVENIZOZLp5r28AZZ+Iy8OXfMfjrWgr2XEzEnouJaOnjiMfb+KJ3oDuUPJ9KRNWAFUIlEkJg46l4fPzHVWgNAoEedlj6MK9EJLJ09ZxsMLd/EJ7t1BDfHLuB7eduIeJWJl7fdRHLDlphRGtfDG/lA2dbldShEhERUQ2UodFhxrbzOBGbDpVChvcfao72DV2kDouIqBi5TIaWvo5o6euIKeF+uJaSg8PXUvF3dApOxqbjdpYW287dwrZztwAA9Z3VCKvnhLD6Tmjh44BGLrZQyHmnOBFVPr1RYOWf0fj2nxsAgAdbeGFuv0A2pBHVUK18HfHR8BBcTMjEDyduYu/FRJyNz8DZnRnwtLfC8NY+GNLCmxfUEVGVYiN4JcnQ6PDOnss4EJkMAAhv7Ip3BjeFnRVTTFRb+DiqMbtvIJ7v0ghbTsdj0+l4JGZpsfKvaHx5NAb9gz3wUEtvtPJ1ZBeBREREBACIz9DgpS3ncC05B3ZWCiwe2hwdG7EBnIhqPplMhsZudmjsZodR7epDozPg5M10/B2dipOx6bh0OwuxaRrEpmnwc0QCAMBGJUdTT3s083ZAMy8HNPWyR0MXG8h5fEREFZCYlYe5Oy/iZGw6AGB854YY37kRz70QWYCmXg54a2BTTO3eGFtOx2Hz6XjcztLis7+uY/Xh6+jk54KHQrwR3sSNvW0SUaVjC20lOH0zHa/tvIhbmXlQymWY2t0fT7Spx0KMqJZytbXCuM6NMKZDA/x6KRE/nriJCwlZ+DkiAT9HJKCRiw2GhnhjUAsvuNtZSR0uERERSeRSQhZe+ukckrO18LS3wkfDQxDowWGSiMgyqVUKdPZzRWc/VwBAVp4ep+MycDI2HWdupuPi7Szk6ow4eTMDJ29mmJ9nZ6VAUy97NPNyQKCHHfzdbOHnagsblUKqt0JEFuTv6BS8sesSUnN1sLNS4NV+gejf1FPqsIiojNztrPB8Fz+M7dAQ+y4nYuuZeJy8mYHD11Jx+FoqXGxUGNDME/2DPRDi48C2FSKqFGwErwCjEPj22A189lc0DMLUDdj8wc3Q3NtB6tCIqBqoFHIMau6Fgc08cSYuA1vP3sK+S4m4npqL5YeuYcWf19C1sRseaOaJbo1deZKHiIioDvkzKhlzd1xEjs6AAHc7fDScwyQRUe1ib61EV39XdPU3NYobjALXU3Nw4VYWLiRk4vytLFxOzEK21oB/b6Tj3xvpRZ7v62gNfzc7+LnaorGbLfzzfzi2LxEBpu7PPz8cja+O3oAAEORhh4VDmqOhi43UoRFRBVgpTedTBzX3wvWUHGw/l4Cd5xOQnK3Fjydu4scTN+HraI2+wR7oH+yJIE87NogTUbnxyKKcLt3OwqJ9V3AuPhMAMKCpB2b3DeTBGlEdJJPJ0LqeE1rXc8IrvZvg14uJ2H4uAWfjM3DwajIOXk2GtVKO8Mau6BfsgS7+rrCxYoM4ERFRbaQ3GLHiz2h8dzwWANC+oTPeG9qcxwlEVOsp5P91nz64hRcAUyPWteRsc8N4VHIOriXnIDVXh7iMPMRl5OGvaylF1uNuZ4X6zmrUc7ZBA2c1mjVwgZMCqOdkAye1kifCieqAq0nZmL/3Cs7Gm3qVeKS1D6b3bAJrJbtKJqpNGrnaYmp3f0zs5ofD11Kw9+JtHLyajLiMPHz7Tyy+/ScW9ZzU6N7EDeFNXBFWzwlKdplORGXAMzFllJWnx4f7r2L9iZswClO3Xi/3bIIhIV48ECMi2FkpMayVD4a18sG15BzsPJ+AfZcScTNdg32Xk7DvchJsVHJ0a+yGga190crdFk42KqnDJiIiokoQl67B3J0XzBfKjgz1xbSejTm2HRHVWUq5DIEe9gj0sMfQlt7m6ak5WlxLMTWIm39ScpCYpUVStunnlLlL9evm59lbK9DA2Qb1nGxQ31md/2OD+s428LC34tjjRBYuT2/El0dj8O2xG9AbBbs/J6ojlHIZujdxQ/cmbtDoDPgzKgW/XkrEX9dScDNdgx9O3MQPJ27C3lqBLn6u6NrYFe0bOsPDnj1tEdG9sRG8lIQQ+O1yEpb+EYWEjDwAQN8gD7zcqzG/bImoRP5utpgS7o/J3fxw8XYW9l1KxL5LiYjLyMOvlxLx66VEyACE+DigW2M3dG3siiAPdvFDRERkiX6/nIh39l5GVp4BDtZKvD4gCL0C3aUOi4ioRnKxtYKLrRXa1HcuMj1To0dMWi5iU3MRm56Lm2kaJGTrcC0pC4lZWmTlGXAhIQsXErKKrdNKIYO3oxq+jmr4OFnD11ENXyc1fBzV8HFSw81WxWMtohrs3xtpWPDrFcSk5gIAujdxw8w+ARxOhqiOUasU6Bvsgb7BHsjRGnD0eioOXU3Gn1EpSM3VYe+lROy9lAgAaOxmiw6NXNChoTPC6jux9y0iKobfCqUQcSsTK/+8hqPX0wCYxv6e2ScAnf1cpQ2MiCyCTCZDMy8HNPNywJRwf5y/lYmDUcn4+3o6zsdn4Gx8Js7GZ2LlX9FwsVGhXUNntGvghHYNXdDAWc0TNURERDVYYlYePjoQZT4R09LHEfMfbAofR7XEkRERWR4HtRItvB3QwtsBACCTAe7uDkhKykSu1oDYdA1upuUiNk2DG2mmRvLY9FzEp2ugNQjEpOaaG9DuZK2Uw8fRGj75jeO++Y3jvo7W8HVSw9mGjeREUohL12DV4WjsOn8bAOBmZ4WZvZugV6A7P5NEdZytlQK9At3RK9AdBqNAxK1MHLqajKPXU3ExIQtRyTmISs7BjyduQi4DAtztEFbfNGRlWD1HuPPmRaI6j43g93AhIROrD1/Hn1Gm8alUChkm9miCkS29YK3keL5EVHYymQwtfBwR4uuIN4Y5IOJaEv6MSsGfV5PxT0waUnN15rvEAcDT3gptGzijla8jWvk6oom7HRRyHgQSERFJTW8U2HQqDp/9FY1srQFyGTC6fQNM6NKI49QREVUBtUqBAHc7BLjbFZunNxhxO0uLuHQN4jI0iE/XID5Dk/84D7cz85CnNyI6JRfRKSU3kquVcvg4qVGv4O5xR2vT3/mPOR45UeVKztbiq6Mx2Hw6HnqjAAA83MobU8Mbw0HNU9ZEVJRCLjOfH50c7o+0XB3+vZGGo9dTcex6Gm6ma3A5MRuXE7Ox/mQcAMDbwRrN8y+ua+7tgKZe9rxbnKiO4Se+BJcSsrD6yHUcvJoMAJDLgIHNvTC+c0OEBngiKSkTQkgcJBHVCl4O1hjeygfDW/lAqzci4lYmjsek4Z8baTgbl4HbWVrsvnAbuy+Yroi2VSnQ3McBrXxMxVuwpz28HKx5MoaIiKganYnLwHu/ReLSbVN3vCE+DpjdJxDBXvYSR0ZEVDcpFXLT3d1OJffCoTMYkZCZh7iCxvGM/L/zHydmaaHRG83jk5fEzkphbhwveC2fQt2vO6pVVfkWiWqNTI0ea/+NxQ//xiJXZwQAdGjojEnh/uZeIIiI7sfZRoU+QR7oE+QBALidmYfTcRk4fTMdp25m4EpiFm5l5uFWZh5+v5IEAJABqOesRhM3OzRxt0UTdzs0cbdDIxcbXshMVEuxETyf3mDEwagUbD4Vh2MxaQBMjd8DmnriuU4N0cjVFmxjIqKqZKWUI6y+E8LqO2E8GkGjM+D0zQycupmOM3EZiLiViWytAcdj0nA8/3sKMBV9TT3tEexljyAPOzTOL95ULN6IiIgqVUR8Bj4/EoO/rpl6inKwVmJKuB+GtfKBnAcLREQ1lkohR31nG9R3tilxvlZvxK3MPMTn30lubixPz0N8hgZJ2Vpkaw2ITMpGZFJ2ieuwt1aYG8V9nf7rar2g+3XeeUZ13fWUHKw/GYcdEbfMjd/NvR0wuZsfOjRykTg6IrJ0ng7W6BfsgX7BpkbxbK0eFxOycP5WJiJuZeL8rUzEZ+QhNk2D2DQN/si/ARIAlHIZ/FxtizSMN3S2ga+TGtYqnl8lsmR1vgJPyMzD1jPx2HbuFhKztABMVwT1b+qBcZ0awc/NVtoAiajOUqsU6Ojngo5+poNBg1HgWnIOzsRn4GxcBi7dzkJUUjbScnX4+3oq/r6ean6uQi5DQxcbNHGzRWM3OzR0sUF9ZzXqOduwGz8iIqIyOhefgc+PXMfha6b/tQoZMLiFFyaH+8PV1kri6IiIqKKslHI0dLFBQ5eSG8k1OoOpkbygi/X8xvGCxyk5OmTlGXAlMRtXEktuJHdUK80N4j6O1nc0lqtha8Vh96j2EULgWEwafjxx0zzcJGAat/f5Lo3QM8CN5yeIqErYWSnRtoEz2jZwNk9LzdHialIOIpOycTUpG1eTchCVnH3HhW6J5uVlMDWu+3vYwdvOCvWc1PkX1Zl+8wI3opqvTn5KMzV6HIpKxr5LiTh8LQWG/K7NXW1VGBrijYdb+dy1Cy0iIqko5DIEeNghwMMOw1v5AADy9EZEJmXj0u0sXEzIRGRiNqKSc5CtNRTqyi+pyHrsrRWo72Qq2HydCgo3U/HmaW/NMceJiIhg+h/7+5VE/HTmFk7GpgMwNX4PbO6FZzs2RIO7NJQQEVHto1Yp4OdqCz/Xkm+U0OgMiM/I++8u8vw7yW+maxCfkYe0XB0yNHpkaLLMQ2ncyUmtNHez7u2ghpejNbwcrOFlbwUvB2u42lmx1xGyGFHJ2dhz4TZ+uZiIuHQNAFNjUrfGrniibT20a+DMxm8iqnYutlZo19AK7Ro6m6cJIXArMw9Xk7IRmZiNq8k5iErKRmyaBjk6AxIy85CQmVfi+pzUSng7quGZ/7/ay8H6v//fDtbwtLdmT51EEqszjeDpuTociEzG75eTcPR6KvTG/wb1DqvvhBGtfdAr0J1fSkRkUayVcrTwdsgfN8vUMC6EQEJmnrlou5acg9i0XMSmm8a6y8oz4OLtLFws4eSLUi6Dp70V3O2t4WFvBXc7K3jk/+1hbwUPO2u421vBzkrBA1YiIqqVriXnYOvZeOyMSEC6Rg+Ajd9ERHRvapUC/m628L9Lb4I5WoP5rvGCbtbjMv5rLE/X6PN/snAhoeRGckX+sZr5JHv+yfWCE+6e9tZwsVWxoZwkcyM1Fwcik/DLhdu4XKhHBFuVAkNCvDAyrN5de1sgIpKKTCaDj6MaPo5qdGvsZp4uhEBqrg6xablINwAXbqSau1KPTctFaq7O/L/70u27r9/VVgUvB2u42VmZfmxV5r9dbfOn2algq+K5VqKqUGcawYev+cd8EgsA/N1s0TvQHf2beqCxm52EkRERVS6ZTAZvRzW8HdXo6u9aZJ5GZ8DNdFPBdjM911y43Uw3nZDRGwXiMvIQl1HyFY4FbFRyeNhbw9lGBSe10vQ7/2+n/L+dbZRwUuf/rVZCyYuMiIioBhJC4OLtLBy4koQDkcmISs4xz/NysMZDLb0xNMQbXg7WEkZJRESWzNZKYR5jtCRZefoiY5DHZ2hwO//Os4TMPCRla2EwCsRn5CH+HsdqSrkMrrYquNtbw81WBff8C5sbeTlCLYzmk+0utiqolXKebKcK0egM+Dc2HUeupeDwtRTcSNOY5ynkMnTxc8EDzTzRvYkb1Cp2909ElkUmk5n/b7q7OyCpoRPEf/dVIitPj7h0DRIy83A767//2QmZeeb/4VqDQEqODik5uvu+nrVSXkIjuQqutlZwtlHln3vNPwerVsFKyfOsRKVRZxrBDQII9LBD70B39A5yZ8M3EdVJatXdT74YjAK3s0yFWlK2FolZpp+k7DzT7ywtErPzkJVnQK7OiJjUXMSk5pb6tW1UcthZKWFnpYCdtRL2+b/trBSws1LAwVoJT1dbQGeAjUoBtVIOtUoOtVJh+m2eZvptzZM2RERUTklZeTgRm44Tsen4MyqlSPd2CrkMXf1dMbyVDzr5uXCYECIiqnL21koEetgj0MO+xPl6o0BSoRPst7O0xU62J2droTcK3M7S4naW9r6vaa2Umy9oLvxTcILdQa2EvZUS9tZKOFgrYW+tgL21ErZWCt5tXkel5mhxJi4TZ+IycDY+A+dvZSJPbzTPV8hlCK3niH7BHugT5AFnG5WE0RIRVS17ayWCPO0R5Fny/24hBNJydbidqUVCVh5SsrVIztEiOVuH5GwtUnK0SM42Pc7RGZCnNyIu/yal0rBVKUw3IJlvRlIV+b9ecINSQaO5k40K1mw4pzpIskbw5ORkvP766zh27BgUCgWGDh2KWbNmQaksHtIff/yBDz74ADdu3ICPjw9mzpyJXr16len1fni6LbwdefcGEdHdKOT/df9zL7k6g7lBPC1Xj7RcHdJzdUjP1SNdo8t/bPo7PX/sOwEgV2dErk6LpOx7rr7UZDCduLFRKYo2livlsFYpYKWQw0ohg0ohh5VCDpVCBiulPP+xzDS/0OP/lpPDSikz/22tkENV6PGd62RDPFHNUN21JVkOjc6AyKRsXL6dhfO3snAiNq3InUoAoFbK0cXfFT0C3NCtsSsc1TxpS0RENYdS/l9vX3ejMxjzT6ZrkZStQ3J2nulEe44WGToj4lNzzPO1BoE8vbHUDeaFyQDYWStgb2VqEC84HrMpdNFywd8F8xzUKozv7VDBLNRsZalFazqjEIhL1yAyMRtXkrJxNb+OurN+AgBPeyt08XdFF39XtG/oDHtry3u/RERVQSaTwcXWCi62Vgj2KrmhvECuzmD+H52cozM1mOc3mqdk6/LPseafg9XoYBRAjs6AHJ3hvr15FmarUsBRrYSD2nSBm6PadLGb+bf1f/McrIsux5uRyFJJVplMmzYNXl5eOHToEJKSkjBx4kR8/fXXGDduXJHloqOjMXXqVCxZsgQ9e/bE3r17MW3aNOzduxdeXl6lfj0fJ+si3VUQEVH52KgUaOBiU+oxUQ1Ggcw8PbLy9MjWGpCt1SMrz/Q7O89QaLoBepkMyRka5OoM0OiM0OhNV0IWfqwzmL7MBQCN3giN3giU/ob0SqfKb1BXyk2N46r8RvIij+UyKM1/m34rFXKoCi2jlBc897/nWynlcHa0QV6u9r/15f9WFix7l/Wp5AXLmB7zbg2q7aq7tqSaRQiB5BwdYlNzcSMtF7FpuYhJ1SAyKQsxqbkw3nEcIJcBQR72CKvvhHYNndGhoTO76SQiIoumUshLbCiXyWDqxjUpE0KY/mfm6oxIy9UV+UnX/HeBc2qODll5emTmH6tlavTI0uqhMwgIAFl5BmTlGUodm721EuN7B1byO65ZSluL1gRCmI7Rb2dpcTszD3ElDJmmKXSHd2H+brZo5euIVj6OaOXriEauNmwUISKqIBuVAvWdbVDf+f7nWo1CICtPX+TGpML/x/+7WUmHNI3e/LehUMP5rczSN5wXUMpl5h5hCnr1tLVSwFZV0OunArYqRaH5pmULHtuoFLAu1MOnlVLOc5VULSRpBL9+/TqOHTuGgwcPwsbGBg0aNMCkSZPw/vvvFysOf/rpJ7Rr1w59+/YFAAwaNAhbtmzB+vXr8eKLL0oRPhERlYFCLjN3xXMvd56cuRu9USBP/1+juEZnhEZnMDWIF5qmNRihMxihNQho9UUf6wxG87TCj83L3/Fc09+mx4Y7WlJ0BgGdofQngKSikOG+DfEKuQwKWf7vO/82P8Y9l5PLZFAWLHOX5eRyGRQy01WxMgBymQwFda88f5qsyHzTBBkAuRxwup2DrEzTlQ8yyPKXRf7z7r5O5K+3sIITNoXny1B04Tufa36M/xYuvkzRGbIS5v33Oneu417x3rEOmSk/eUolUjM0EKLk92R+XJr3BFOe3WE5WFvWLkIIaA0CuVoDsnV65GqNpivfNUUP8m9nmobsuJ2lRVKWaby1u3G1VSE4v6u60HqOCK3nxDuViIioTpLJZOaT0r5O9+4F7E55eqP5AuesPD1ytAXHYaZjsNz847LCFzFrdAYIyO6/cgtWllq0MhmF6Y5+jc50UUKGRoeMPD0ycvWm3xpTz2yZGj0yNKbHiflDn+XdpZG7gJVCBn83OwS426KJux0CPezQ3NuBveUQEUlMLpPBUa2Co1qFhqW8QckoBLLzDEjL1Zn/V2RqTBe7mX8X+jtDY/o/X/DbIEznYwsa2SuLtVJuHvJSXdBInt/Dp7rQPJVCXuwmIuXdbizKvymoYJoi//ygXCaDXA7I888jKuSm3j0Lzk/K85dRyGVIFzJkpJnOOyrk/51nLDxSWsHZh8LnsAufkRAlnNwuOr/wdFFkuhCmbSYEYISAMf8ixjt/C6DINPNz7vdcFJ9W7LlCwFhkufy/y/hc0+P/4i1433e+54L83Jk3IQrn+r8b46yVcix4NLRYjksiyZmfK1euwNnZucjdNk2aNEFcXBwyMjLg6Ohonh4ZGYmgoKAizw8ICMDFixerLV4iIqo5lHIZlFZK2FlJ8/oGo6nRXGcQyMtvLNflN6TrDQI643+PdUYBfcH8/On6wtOKLVN8PXKlHNm5ukKvI6C/32sYjLizLcggAIPeiDw9ANT8RnuSlr21EufeGiB1GKUmRW257ngstPc5eVgeltpxkRCA3miElVqFjKw86PO/7wxG03eW6bsv/zuwYFr+955GZ0CO1oDc/KvSc7WGYt9hpSGXAd4O1qjvbOqtpJ6TGk3c7RDkaQ93qf5pEBER1SLWSjmslVZl/r9a22/0Kkstei9v/3IJ2VpDfv1k+tHqjcjL/ynoKU2jMyJPb7jnBYCl4aRWwt3eCr6O6vw7ENWo52yqoeo720Apr+UbjoiojpDLZKauzdVKAKVrOC8ghECOrqBXGNOxe7ZWn//7bo8NyNHqizwu+B+mK/S/q+D/G1FZ2VsrseDR0i0rSSN4dnY2bGyKftgKHufk5BQpDktaVq1WIycnp0yvWRkFt/luKdaAZsxJcZWak0LrkMmKPrYk3E+KY06Ks5ScKBUyKBWKMpaM5SOTAW5uDkhOvvfd8SUpOHFSYuN8CQ3puvy73A1GAaP4r/Gq2GMhYDSargA1iFI+x2i6MrDwOgxGkX81n+mSPvMVgih0dWGhqwMLrjoEALlCDp3eAGHMXx6mqwzzV2W+8rBg/Xd2g1z4ykHgjqsv7zKv0PWJ5ul3XaaEdZj/RtGFi69DFNvWd14lWTym/L+FuGdMd39Plk+K2vLzIzHIMl1VQlXIOn88UUe1Es42KjjZmH47q1Vwt7eCp701PBxMv93trGCllEsdcoVYyv/Cmow5vIsyHlcwjxXHHFYO5rHiakIOa/v2K0stei+/X0kud31ZMM5rwY+DWgWn/AaPgt+O1qb6ycPedCEDh4KpXDXhs0YVUIZaidu6bqnr21smM3WDXlk9qRX08JmnMw1xWdCjScHFXhrzxV7/9fypMxjzb0oqfB7zv/Od+rvcWKQziCJ3KxvvuHPZYBTm84bG/HOXRvw3r2B5IQQM+b+L7AZ39LZYaFIJ04vvQHd7numuc9Od57I7f6Poneuywr9R6K73/O8xuUwGOYqv587nFu5Vs/Bv02v+99yCHill+eu963Pu6Kmz4O/Cb7zgvRTORZH8FeoN8875ZTn3I0kjuK2tLXJziw7gWvDYzs6uyHQbGxtoNJoi0zQaTbHl7sfNzaEckVb9umoL5qS4SsmJzX8fZnd3B6CM+31Nw/2kOOakOOakOOaEqoP5AgBheQ3kUtSWD4f51ogrlmU16Ao5pcLUHZlSLjMPv6DM74qsSLdl+cuoFKZ5BWOF2VkX/W1rpYSijt6BxO/9imMO71DO4wrmseKYw8rBPFYcc1h1ylKL3susB4IhYOp6VSWXQy6XmS8IVKsUsLGSw1pZ8Hd+V7H58+pqzVQT8bNmocpRK3Fb1y3c3kSWSZJG8MDAQKSlpSEpKQnu7qYRJ69evQpvb284OBT9MgkKCkJERESRaZGRkQgJCSnTa5bnLro7VeSOvNqKOSmuUnOSnW0ekzUpKRPIlf5ke3lwPymOOSmOOSmOOSmOOSmuKnJSsE5LIUVtOS3cj/vgHSpnXxSAVoc8rQ55lRmcheB3XMUxh3dRxuMK5rHimMPKwTxWXE3IoaXVlmVVllr0XgYFuZVyGwlAr4fQA7kaIPf+T6BqUBM+a1QBZaiVuK3rFm7vuoXb2zKUpbaUpBHcz88Pbdu2xYIFC/D2228jNTUVK1aswIgRI4otO3ToUHz11VfYtWsX+vfvj7179+LYsWOYO3dumV6zoFvUylCZ66otmJPiKiUnRbroheXdmncH7ifFMSfFMSfFMSfFMSfF1eWcWHptWdswNxXHHFYcc3iHch5XMI8VxxxWDuax4pjDqlOWWvReuI1qB25HC1WOWonbum7h9q5buL1rD8kGzVu2bBn0ej369OmDkSNHIjw8HJMmTQIAhIWFYfv27QCAJk2a4NNPP8WqVavQvn17rFixAsuXL4e/v79UoRMRERFRDcPakoiIiIikcq9alIiIiIikIcmd4ADg7u6OZcuWlTjv5MmTRR6Hh4cjPDy8OsIiIiIiIgvE2pKIiIiIpHKvWpSIiIiIpCHZneBERERERERERERERERERESVTbI7waubTFZ566iMddUWzElxlZoTmQxwcMj/UwZYaJ65nxTHnBTHnBTHnBTHnBRXFTlhfu+POSqOn8+KYw4rjjm8izIeVzCPFcccVg7mseJqQg65/UqHebJsNeGzRhVQhlqJ27pu4fauW7i9LUNZto9MCA7vTkREREREREREREREREREtQO7QyciIiIiIiIiIiIiIiIiolqDjeBERERERERERERERERERFRrsBGciIiIiIiIiIiIiIiIiIhqDTaCExERERERERERERERERFRrcFGcCIiIiIiIiIiIiIiIiIiqjXYCE5ERERERERERERERERERLUGG8GJiIiIiIiIiIiIiIiIiKjWYCM4ERERERERERERERERERHVGmwEJyIiIiIiIiIiIiIiIiKiWqPONoLHxsZiypQp6NSpEzp27IhJkybhxo0b5vmrV69GixYtEBYWZv5ZunSpef4ff/yBIUOGIDQ0FAMHDsT+/fuLrP/zzz9H9+7dERoaitGjRyMqKso8LycnB3PmzEHHjh3Rtm1bzJw5E9nZ2VX/pitZcnIyJk2ahHbt2qFjx46YP38+9Hq91GFVyMWLF/HMM8+gQ4cO6Nq1K2bOnImUlBQAwLx58xASElJkn1i/fr35uT/99BP69euH0NBQDB8+HCdPnjTPMxgMWLx4Mbp06YKwsDBMnDgRt2/fNs+vybnctWsXmjdvXuR9z5gxAwBw+vRpPProowgLC0Pv3r2xcePGIs+tjTnZvn17kVyEhYUhJCQEISEhAOrefpKSkoJ+/frh6NGj5mlS7hf3e+3qUFJO9uzZg4ceeght2rRB79698cknn8BoNJrnDxw4EK1bty6y31y9ehVA7c2JlJ+VmpiTN954o9h3S7NmzfDcc8+Zn1Pb9xOqOe5XJ1+7dg1jxoxBWFgYunXrhs8++6zI81knl09N/D8vhXvV43Wx9qwIg8GA0aNHY/bs2eZpzGHppKWlYebMmejYsSPat2+PSZMmmd8rc1h6EREReOqpp9CuXTt069YN7777LrRaLQDm8X54nEVkOWrDd05dwe/W2q+mHktwW1eNI0eO4NFHH0WbNm3QtWtXvPPOO9BoNAC4vakQUUcNHTpUvPrqqyI7O1tkZWWJOXPmiAcffNA8f+rUqWL58uUlPvfatWuiZcuW4tdffxU6nU7s3LlTtGrVSty6dUsIIcSWLVtEeHi4uHz5stBoNGLhwoVi8ODBwmg0CiGEmD17thgzZoxITU0VSUlJYtSoUeLNN9+s+jddyUaNGiX+97//iZycHBETEyMGDx4sPv/8c6nDKrfc3FzRtWtX8fHHH4u8vDyRkpIixo8fL1544QUhhBAPP/yw2LJlS4nP/fvvv0VYWJg4fvy40Gq14quvvhIdO3YUOTk5Qgghli9fLoYMGSLi4uJEZmammDZtmhg/frz5+TU5l4sWLRKzZ88uNj0tLU106NBBrF27Vuh0OnH48GERFhYmTp8+LYSo3Tkp7NatW6Jr165i69atQoi6tZ8cP35c9O3bVwQFBYm///5bCCHtfnG/15YqJ2fPnhWtWrUSv//+uzAYDCIyMlL06tVLrFmzRgghRGZmpggODhaxsbElrrM25kQI6T4rNTknhR06dEh06NBBXL58WQhR+/cTqlnuVSdrtVrRv39/8f7774u8vDwREREhunXrJnbt2iWEYJ1cETXt/7wU7lWPs/Ysu48++kg0bdpUzJo1SwjB+r0sRo0aJSZPnizS09NFZmammDJlinj++eeZwzIwGAyia9eu4ptvvhEGg0HEx8eLAQMGiE8++YR5vA8eZxFZFkv/zqkr+N1a+9XUYwlu66qRnJwsWrZsKTZv3iwMBoNISEgQDz74oPj444+5vamIOtkInpaWJp599lmRkJBgnnbhwgURFBQk0tLShBBC9OzZU+zfv7/E5y9ZskQ888wzRaY999xz4uOPPxZCCPH444+LlStXmudptVoRFhYmjhw5InJyckSLFi3Ev//+a55/6tQp0apVK/OHzBJER0eLoKAg8wlNIYTYuXOn6Nmzp4RRVczVq1fFc889J/R6vXnavn37RJs2bUReXp5o0aKFuTHiTv/73//Ea6+9VmTaAw88IDZt2iSEEKJ79+5i+/bt5nmJiYkiODhYxMTE1PhcPvXUU2Lt2rXFpm/YsEH079+/yLQ33nhDzJw5UwhRu3NSwGg0itGjR4u5c+cKIUSd2k+2bNkievbsKXbu3FnkAELK/eJ+r13V7paTX375RSxYsKDIsgsWLBATJkwQQghx5MgR0bFjx7uutzbmRMrPSk3NSWHJycmiY8eOYtu2beZptXk/oZrlfnXyX3/9JUJDQ0VeXp55/qpVq8RTTz0lhGCdXF417f+8VO5Vj7P2LJvDhw+LQYMGiRdffNHcCM4cls7Zs2dFy5YtRWZmpnlaamqquHz5MnNYBikpKSIoKEh89dVXQq/Xi/j4eDFw4ECxZs0a5vEeeJxFZFks/TunruB3a91QU48luK2rTkG9bjQaxaVLl0S/fv3Ed999x+1NRdTa7tA1Gg2uX79e4o9KpcKaNWvg6elpXn7Pnj2oV68enJyckJycjLi4OGzYsAHdunVD79698d577yEvLw8AEBkZiaCgoCKvFxAQgIsXL5Y4X6VSwc/PDxcvXsT169eh0+mKzG/SpAk0Gg2io6OrMCOV68qVK3B2doaXl5d5WpMmTRAXF4eMjAwJIyu/xo0b44svvoBCoTBP27NnD1q0aIGLFy9Cr9dj2bJl6NKlCwYMGIDVq1ebuzO+1z6RmZmJW7duFZnv7u4OJycnXLp0qUbn0mg0IiIiAgcOHECvXr3QvXt3vP7660hPT8eVK1fK9DkoPN+Sc1LYtm3bEBkZae5isi7tJ926dcOvv/6KQYMGFZku5X5xv9euanfLyYABAzBnzhzzY41GgwMHDqBFixYAgLNnz8LGxgajRo1Cx44dMXz4cHPXwbU1J1J+VmpqTgr74IMPEBISgqFDh5qn1eb9hKpfRerkK1euwN/fH1ZWVub5pf2eL2l+bayTy6Om/Z+Xyr3qcdaepZecnIy5c+fiww8/hI2NjXk6c1g6Z86cQUBAADZs2IB+/fqhW7duWLx4MTw8PJjDMnBxccHYsWOxePFitGzZEj169ICfnx/Gjh3LPN4Dj7OILIulf+fUFfxurRtq6rEEt3XVsbe3BwD06NEDQ4YMgYeHB4YPH87tTUUopQ6gqpw+fRpPP/10ifM+/fRT9O3b1/z4hx9+wJdffomVK1cCABITE9GuXTsMHz4cH330EW7cuIFp06YhNzcX8+bNQ3Z2dpGTCQCgVquRk5MDAPecn5WVBQCwtbU1zytY1pLGOyzpPRY8zsnJgaOjoxRhVRohBD766CPs378fa9euRVJSEjp06IDRo0djyZIluHDhAiZPngy5XI5x48bdc5sXbNfC27xgfsG8mprLlJQUNG/eHAMGDMCyZcuQmpqKWbNmYcaMGfDw8Cj358CSc1LAaDRi5cqVmDBhgvkfbmZmZp3ZTzw8PEqcXpHvx4rm4H6vXdXulpPCsrKy8NJLL0GtVmPs2LEAAJlMhpYtW+Lll1+Gr68vfvnlF0ydOhVr166Ft7c3gNqXEyk/KzU1JwVu3LiB7du3FxsvqDbvJ1T9KlIn360GLM33/P3m15Y6uTxqe21dHnfW499++22drj1Ly2g0YsaMGXjmmWfQtGnTIvOkrNMsKYfp6em4dOkSQkJC8NNPP0Gj0WDmzJmYNWsW3N3dmcNSMhqNUKvVeP311zFixAhcv34dU6ZMwbJly7gv3gOPs4gsC2s4y8Dv1rqnJh1LcFtXvb179yI9PR2vvPIKXnzxRXh5eXF7k1mtbQTv2LEjLl26dM9ltFotFi5ciF27dmHVqlXo1KkTAKBp06ZYt26debkmTZpg0qRJePPNNzFv3jzY2NhAo9EUWZdGo4GdnR0A3HN+wYcnNzfXvHxubi6A/65csQS2trbmuAsUPC54X5YqKysLc+bMQUREBNauXYvg4GAEBweja9eu5mVatWqFMWPGYNeuXRg3btxdt7mLi4v5S+/OfBXsE0KIGptLd3f3Ip8FGxsbzJgxAyNHjsTw4cPL9Tmw9JwUOHr0KG7fvo0RI0aYp3Xt2rVO7ieF2djYIDMzs8i06tov7vfaUouKisKLL74INzc3fPvtt+bv/HHjxhVZbujQodixYwf27NmDCRMmAKh9OZHys1JTc1Jg8+bNCAsLQ7NmzYpMr4v7CVWditTJd6sBS1MH329+bamTy6M219blUVI9LmWNYUlWrVoFKysrjB49utg85rB0Cnq6mDt3LqytrWFvb49p06bxGKiMfv31V+zZswe//PILACAwMBCTJ0/G/PnzMWTIEO6LZcTjLKKaiTWcZeN3a+1U044luK2rnlqthlqtxowZM/Doo49i9OjR3N5kVmu7Q7+flJQUjB49GqdOncKmTZvMJ/YA4NixY1i1alWR5bVaLdRqNQAgKCgIV65cKTI/MjISgYGBAEwHd4Xn63Q6REdHIygoCP7+/lCpVIiMjDTPv3r1qrkrSEsRGBiItLQ0JCUlmaddvXoV3t7ecHBwkDCyiomJicEjjzyCrKwsbNq0CcHBwQCAffv24ccffyyybOF94s5tDvy3Tzg5OcHLy6vINk9MTERaWhqCgoJqdC4vXryIDz74AEII8zStVgu5XI5WrVqV6XNQeL4l56TAnj170K9fvyJXhdXV/aSwsn4/Fp5f0Rzc77Wl9Mcff+DRRx9FeHg41qxZAycnJ/O8NWvW4MiRI0WW12q1sLa2rrU5kfKzUlNzUmDv3r146KGHik2vi/sJSededXJgYCCio6Oh1+vN0wrvL6yTy8dS/s9Xh7vV41LWGJZk27ZtOHbsGNq1a4d27dphx44d2LFjB9q1a8ccllJAQACMRiN0Op15WsGQLc2aNWMOSyk+Ph5arbbINKVSCZVKxX2xHHicRVQz1dbvnLqC3621T008luC2rhonTpzAAw88UKTe1Gq1UKlUCAgI4Pam/1TzGOQ1glarFQ8//LB49tlnRW5ubrH5Z86cES1atBDbt28XBoNBXL58WfTv3198+umnQgghIiMjRcuWLcXOnTuFTqcTO3fuFC1bthRRUVFCCCE2bNggwsPDxYULF4RGoxELFy4U/fr1E1qtVgghxCuvvCJGjRolkpOTRXJyshg1apSYNWtW9SWgkjzxxBNi+vTpIjMzU8TExIjBgweLZcuWSR1WuaWlpYmePXuK2bNnC4PBUGTe3r17RatWrcThw4eF0WgUJ06cEB07dhRbt24VQghx+PBhERYWJo4cOSK0Wq346quvRPv27UVqaqoQQoilS5eKBx98UMTExIjMzEwxbdo0MWrUKPP6a2ou4+PjRWhoqFi9erXQ6XTi5s2bYuTIkeLVV18VKSkpol27duKrr74SWq1WHDlyxJwDIWpvTgo8+OCDYsOGDUWm1dX9JCgoSPz9999CCCHpfnG/165OhXNy8uRJ0aJFC7Fx48YSl33nnXfEgAEDRExMjNDpdGLjxo2iVatWIjo6WghRO3Mi5WelpuakILagoCDzti+sruwnJL371ck6nU707t1bLFq0SGg0GnHhwgXRrVs3sXnzZiEE6+SKqKn/56vTverxul57ltesWbPMnyHmsHS0Wq3o16+fmDp1qsjKyhLJycni6aefFpMnT2YOy+DKlSsiJCRErFy5Uuj1ehETEyMefPBBsWjRIuaxlHicRWQZast3Tl3B79baq6YeS3BbV42srCzRo0cPsWDBApGXlydiY2PFiBEjxLx587i9qYg62Qi+Z88eERQUJFq2bClCQ0OL/Ny8edO8zNChQ0VoaKgIDw8Xy5cvL/LlefDgQfP8wYMHiwMHDpjnGY1GsWbNGtG7d28RGhoqRo8ebT7xJ4QQmZmZ4rXXXhNdunQR7du3F7NnzxbZ2dnVl4BKkpiYKKZOnSo6dOggOnXqJBYtWiT0er3UYZXbl19+KYKCgkTr1q2L7RdCCPHDDz+I/v37i9atW4s+ffqItWvXFnn+1q1bxYABA0RoaKgYMWKEOHXqlHmeVqsV77//vggPDxdt2rQREydOFElJSeb5NTmXR48eFY899pgICwsTnTp1Eu+8847QaDRCCNMFIwXz+vTpYz4BXqC25kQIIUJDQ4t87gvUxf3kzoY8KfeL+712dSmckxdeeEEEBwcX+1557rnnhBBC5OXlifnz54tu3bqJ1q1bi0ceeaRIPmtjToSQ9rNSU3Ny5swZERQUVGLDY13ZT0h6pamTo6OjxbPPPivatm0rwsPDxapVq4qsg3Vy+dTU//PV6X71eF2uPcurcCO4EMxhad26dUtMmzZNdO3aVbRr107MnDlTpKenCyGYw7L466+/xKOPPiratm0revbsKZYsWSLy8vKEEMxjafA4i8gy1JbvnLqC3621V00+luC2rhpXrlwRzzzzjGjXrp3o1atXjak1ub1rFpkQhfo5JiIiIiIiIiIiIiIiIiIismB1dkxwIiIiIiIiIiIiIiIiIiKqfdgITkREREREREREREREREREtQYbwYmIiIiIiIiIiIiIiIiIqNZgIzgREREREREREREREREREdUabAQnIiIiIiIiIiIiIiIiIqJag43gRERERERERERERERERERUa7ARnIiIiIiIiIiIiIiIiIiIag02ghMRERERERERERERERERUa3BRnAiktS6desQHByMr7/+WupQzHr37o0tW7aUOM9oNOLzzz/HoEGDEBYWhvbt2+O5557DyZMnK2X9lemzzz7DuHHjyvXc5cuXY/To0SXOCw4OxtGjR82PN2/ejIcffhhhYWFo27YtnnzySRw4cMA8/+jRowgODkZYWBjCwsLQunVrdOjQARMmTMCVK1fKFR8RERHR3bC+rDqsL4mIiKiuYW1ZdVhbElFVYyM4EUlq3bp1eOKJJ/Dtt99Cr9dLHc59rV69Gj/99BOWLVuGEydO4ODBg+jUqRPGjBmD69evSx1eERMmTMAXX3xRpa/x888/Y8mSJZg3bx7+/fdfHDlyBCNHjsSUKVPwzz//FFn25MmTOHnyJE6fPo3du3fD19cXTzzxBKKioqo0RiIiIqpbWF9WHdaXREREVNewtqw6rC2JqKqxEZyIJHPkyBEkJydj9uzZMBqN2LNnj3le7969sWrVKgwbNgxhYWEYNmwY/v77bwBAbGwsgoODsXHjRvTu3Rtt27bFM888g1u3bgEAtmzZgt69exd5rdGjR2P58uUAgKysLLz22mvo378/QkNDER4ejs8++6xUMf/7779o164dAgICIJPJYGNjg/Hjx2PkyJFISkoq8/oTEhIwbdo09O7dG61bt0afPn2wadMm8/zg4GC8++676NixIyZMmICBAwcWW9eQIUOKPKdA4Ssit2zZgieeeALvvvsuOnXqhM6dO2Pu3LnQ6XSlet/3ykfTpk0RGhoKuVwOKysrDBs2DBMnTkR6evpdn+fm5oY33ngDAQEB+PTTTysUAxEREVEB1pesL1lfEhERUWVhbcnakrUlkWVjIzgRSea7777DyJEjoVar8eSTT+LLL78sMn/z5s34+OOPcfjwYTRt2hRvvvlmkfkHDhzA1q1bsWfPHiQlJWHFihWlet0PPvgAsbGx2LRpE06ePInXXnsNS5cuLdXVkIMHD8amTZvw4osvYuPGjbh06RKMRiNee+01tG3btszrf+2116BSqbBz506cOHECo0aNwjvvvIPs7GzzMjExMThw4ADee+89DB8+HNu2bTPPO3fuHGJjYzFw4MD7xn7ixAm4ubnh0KFDWLVqFXbt2oW9e/eWJmV3NWDAAPz999947rnnsHbtWpw9exY6nQ6TJ09G37597/v8Xr16mQ8QiIiIiCqK9SXrS9aXREREVFlYW7K2ZG1JZNnYCE5Ekrh58yYOHTqEp556CgAwcuRIREZG4tixY+ZlRowYgUaNGsHGxgZDhgxBdHR0kXWMHz8ejo6OcHd3R+/evYvNv5upU6fio48+gr29PW7dugVra2sAwO3bt+/73GHDhuHbb7+FWq3GJ598gqFDh6Jz585YsmSJuUuksqz/3Xffxbx586BSqRAXFwc7OztoNJoiVyI++OCDsLGxgaOjI4YNG4aYmBicPXsWALB161Y88MADsLOzu2/sarUaEyZMgEqlQqtWrRAcHIxr167dP2H30LlzZ2zevBn16tXDN998gxEjRqBDhw6YN29ekWL4blxcXJCWllahGIiIiIgA1pcFWF+yviQiIqKKY21pwtqStSWRJVNKHQAR1U3ff/899Ho9HnroIfM0vV6PL7/8Eh06dAAAuLu7m+cplUoIIYqs437z7yY5ORnz58/H+fPnUb9+fYSEhAAAjEZjqZ7frl07tGvXDoCpS6ADBw7g/fffh1wux7Rp08q0/hs3buC9995DdHQ0/Pz80KhRo2LLenp6mv/28PBAeHg4tm3bhqZNm2LHjh3mrpLux83NDTKZzPxYpVLdNWfW1tYljnNUMK2gOAaApk2b4u233wYApKSk4PDhw3j//feRk5OD999//54xJScnw9XVtVTxExEREd0L60sT1pesL4mIiKjiWFuasLZkbUlkydgITkTVLi8vD5s2bcL8+fPRpUsX8/TLly/j+eefx9WrVyu0frlcDq1WW2Raamqq+e+XXnoJvXv3xpo1a6BUKpGamooNGzbcd73Z2dno2rUrli5dil69egEAvLy88Nhjj+HatWu4cOFCmdav0+nwwgsv4OWXX8aTTz4JmUyGc+fOYfv27UWWK1z8AcAjjzyCt956C127doWDgwPat29fusSUgbe3N+Li4opNL+gWycfHBwDQs2dPjB8/3nxVrKurKx588EGkpqZi/fr1932d/fv3F9kHiIiIiMqD9aUJ60vWl0RERFRxrC1NWFuytiSydOwOnYiq3c8//wyZTIYhQ4bA29vb/NO9e3cEBQXh66+/rtD6mzRpgqSkJPz9998QQmDbtm1FitPMzEyo1WooFAqkpKTg3XffBWAq7O7Fzs4Offr0wXvvvYejR48iJycHWq0W//77L/bs2YP+/fuXaf06nQ4ajQZqtRoymQxxcXHmqw/vFUvPnj1hMBiwbNkyDB8+vOwJKoXu3bsjLy8PS5cuRVZWFoQQiImJwcKFC9GtWzd4eXkBAIYOHYqVK1di//79yMzMhF6vx8WLF7Fp0yZzPkqSmJiIN998EzExMZgyZUqVvAciIiKqO1hfwvyY9SXrSyIiIqoY1pYwP2ZtydqSyJLxTnAiqnbff/89hgwZApVKVWzeY489hsWLFxe7grAsWrZsiYkTJ2L27NnIzs5G3759MWDAAPP8hQsXYsGCBfjyyy/h5OSEQYMGoXnz5rh8+TK6det2z3UvXLgQX3zxBd59913ExsYCABo3boxp06aZu0cq7fptbW2xYMECfPzxx3j33Xfh5uZmHl/o8uXL8Pf3LzEGlUqFoUOH4ttvv8XKlSvLnad7cXZ2xrfffoulS5eib9++0Gg0cHZ2Rt++fTFt2jTzctOnT4enpyeWL1+Oa9euQQiB+vXrY8SIERgzZkyRdYaFhQEwXR3q4OCADh06YP369WjQoEGVvAciIiKqO1hfmrC+ZH1JREREFcf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       "text/plain": [
        "<Figure size 2000x1000 with 10 Axes>"
       ]
@@ -11073,14 +11144,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "# Analysing impact of education level on salary"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 357,
+   "execution_count": 509,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -11094,12 +11167,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 359,
+   "execution_count": 510,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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x3XXXFYvtTFOmTDFiYmKMv/76y7Xs22+/NWJiYoxbb73VyMzMdC0/ePCg0bdvX6Ndu3bGwYMHizzWzp07GydOnDjn+Qyj4HmLiYkpdf3TTz9txMTEGHfffbdr2dnaabt27YyBAwe6YjIMw8jMzHQ9l99+++1ZH+/mzZuN2NhY46abbjKysrJcy5OSkoyhQ4canTt3dj2/zz//vBETE2OsWbOmSBy33367ERMTY+zatatc21VnG6jo+woAAIXIyQHUdOTwpSOHr305/MyZM42YmBjjnXfecS379NNPiz3vhmEYO3fudP2/Pt2iRYuMmJgY4/nnny/Xdvn5+cawYcOMdu3aGcuXLy+y7UsvvWTExMQYjzzyiGvZgw8+WGIu+3//939GTEyM8eOPPxqGUfx53LRpkxETE2NMnjy5yH52u924/PLLjZiYGGPv3r2u5YV/h6mpqa5lH3zwgRETE2O8+OKLRY6xZcsWo3379sY111xjAACKqjV3cBuGoZkzZ+quu+5yDRdUHdatW6c5c+Zo/PjxeuGFF3TDDTfozTff1MUXX6yPP/64xKF/AOB0TzzxhN577z1ddNFF8vHxUUZGhpYvX67nnntOF198sV555RXXUMpSQQ/hJ598UiNHjixynAYNGig6OrrI0Ehncjqdmjx5sl588UXVrVu3yLpevXpJkhITE4vtN2zYsCK/R0dHq3v37lqzZk2R882bN0+Sig0/dr5sNpsknfW91DAMJSUlFen5XL9+fS1atEizZs0q03maNm3q6ul8LkFBQbr77rtdv1ssFj300EMymUyaP39+mY5xPo4dO6a1a9eqR48euu6664qsu/HGG9WxY0etXbtWhw8fLrLummuuUXh4uOv3bt26KSQkREeOHDmvOAqHPHviiScUEBDgWh4dHa2JEycqPz/f1ev+9HNGRkaW6zxvvPFGka/nnntO1157rWbMmKGIiAg99NBDxfY5s53OmzdP+fn5uuuuuxQdHe1aHhAQoEcffVSS9PXXX581jjlz5sgwDD300EPy9/d3LQ8LC9OECROUnZ3tGkqv8O9069atRY7x3HPPac2aNWrdunW5tjtTVbaBiryvAAAgkZMDqD3I4UtHDn9KbcnhC0c1u+yyy1zLLr30UlksFn333XeuecGlU7nwvn37irSRIUOGaMmSJXrggQfKtd2mTZu0f/9+XXbZZerfv3+RuO655x5FRUVp/vz5ysvLU15enhYvXqxmzZoVm0Lgjjvu0J133lnqY65fv76ef/75IlOhSZLValX37t0llfx3eLo5c+YoJCRE999/f5HlHTt21CWXXKKtW7fq77//PusxAKC2sbo7gOpy/fXXa/PmzerXr5+Sk5MVFxdXLef9+uuvFRAQUGxI0TvuuENt27ZVZmamgoKCqiUWAN5r4MCBGjhwoDIzM7VhwwatWbNGy5Yt04EDB/T+++/L6XTqwQcflCS1a9dO7dq1U2ZmpjZv3qwDBw5o//792rp1qw4cOHDWoRjNZrOGDh0qSTpy5Ij+/vtvHTx4ULt37y4yN9OZGjduXGzZyJEjtWHDBi1atEhjxoyRw+HQokWL1KZNG8XGxlbG0+KaA+n0JOxM119/vd5//33XHEb9+/fXgAED1LFjxzKfp6THV5qYmJhi7+v16tVT/fr1tWPHjjIfp7wKh50raU4wqSAB3bp1q3bs2FHk8TRv3rzYtkFBQed9sXfHjh2KiooqUjAuVJjYnfk8lOf5LfTmm28W+T0gIEANGjTQ2LFjddttt6l+/frF9jnzPIVxXHDBBcW2bd26tUJCQs75mhXO7/XTTz/pl19+KbLu+PHjkk69NqNGjdIXX3yhl19+WTNnzlT//v3Vv39/9e3bt0gbLut2Z6rKNlCR9xUAACRycgC1Czl8ycjhT6kNOfy+ffu0efNmde7cucjx69atq969e2vlypVasmSJLr30UkkF81N37dpVmzZtUt++fdWzZ0/1799fgwYNKrJ/WbcrfI5LyvltNps6duyoJUuWaO/evbJarcrKyipxOPtGjRoVKzyfrn79+ho1apTy8/O1bds27du3TwcPHtT27du1evVqSSX/HRbKzMzUvn37FBkZqXfeeafY+oSEBNfjKa3DOwDURrWmwH306FFNnTpVo0eP1rhx40rdLi4uTq+//rqWL1+utLQ0NWvWTDfccIPGjBlzXufdsGGDunXrpsDAQElSVlaW/Pz81LlzZ3Xu3Pm8jgmg9goMDNSAAQM0YMAATZkyRXPmzNH//d//aebMmZo0aZL8/f2Vm5urV199VV9++aWys7MlSVFRUbrgggsUFham+Pj4s55j586devrpp/Xbb79Jknx8fNSyZUt16NBB+/fvl2EYxfbx8/MrtuySSy7RU089pQULFmjMmDFatWqVEhISNH78+Ep4JgoU9lAuKREr9O9//1tNmzbV//73P23ZskWbN2/WG2+8oebNm+vxxx8v0zxivr6+ZY7pzF7zhQIDA8/53FdEYTIbHBxc4vp69epJknJycoosL+xBfzqTyVTi61zWOEp7DkqLoTzPb6GdO3eWe58z22lZnrMDBw6c9Zjp6emSCuaJK01qaqokqU2bNpo9e7beffddLV++XLNnz9bs2bMVEBCgcePG6b777pPJZCrzdmeqyjZQ0fcVAADIyQHURuTwRZHDn1IbcvjCO783b95caieJOXPmuArcJpNJH330kT788EPNnz9fK1as0IoVK/T000+rT58+euqpp9S4ceMyb1f4HJfWka3w8WVnZ7sK0Ofb6e1///uf3nrrLZ04cUJSwbznnTt3VsuWLbV58+azvj6FccbHxxfrzH+6wmsLAIACtabAvWzZshI/AJwuPj5eo0ePVl5enm644QZFRERo1apVmjp1qvbt2+carrSscnNzdfToUfXr10/z58/XG2+8oQMHDiggIEDXXnutHnzwwXPGBKD2ysjI0NVXX63mzZvrvffeK7beZDLpuuuu0w8//KCVK1fq+PHjat68uZ5//nnNmjVLw4cP15gxYxQbG6s6depIkkaMGHHWBC0jI0O33nqr0tPTNWXKFPXp00ctWrSQzWbT5s2btWDBgjLHHxwcrCFDhmjhwoWKi4vTokWLZLFYdMUVV5T7uShJfn6+/vjjD5nN5rNenDSZTLr22mt17bXXKjExUatXr9bixYv1008/aeLEiVq2bFmR4b0qKi0trcTlJ06cUGhoaJFlJfXgPTNxLKvCi7al3Q1VGFdhW6gqgYGBpcZQmIxVdQxldfpzVlIbSE1NPWesAQEBslgs2rx5s3x8fM55zjZt2uj1119XXl6eNm3apBUrVuibb77Ru+++q6ioKN14443l2q60x1OSirSBiryvAAAgkZMDqPnI4c+OHL6omp7DG4ah+fPny2w2FxuCvdD8+fO1Zs0aHTlyRI0aNXLFc++99+ree+/Vvn37tGrVKs2fP1+rV6/W/fffr6+++qrM25XnOc7NzZV0apSBM2VlZZU68sCiRYv0+OOPKzY2Vo8//rjat2+vBg0aSJIef/xxbd68+azPVeFxe/Tooc8///ys2wIATqk1Be6yJK2vvvqqMjIy9N1337mGWhkzZoyeffZZffrpp7r22mvVpk0bpaenn/PDS926dZWRkSHDMLRu3TrNnz9ft99+u1q2bKmff/5ZM2bMUFJSkl555ZVKeXwAap6goCClp6dr9erVSkhIKLVHrVQwLFnhXEALFixQRESE/vvf/xa5yzMnJ0dHjx6VVJBolHQH6Nq1a5WQkKBbb71Vt956a5F1e/bsce1bVldddZW+//57LV26VCtWrFDv3r3LPddyaX788UclJiaqX79+ioiIKHGb5ORkzZw5U40bN9aoUaMUERGhK664QldccYX+85//6Ouvv9Zff/2lfv36lfh8nI8dO3bIbrcXKXbu2bNHaWlpReZ88vHxUW5ubrHX4uDBg8WOWZbY2rZtK0n6/fffS1y/fv16mUwmtWrVqsyP5Xy0adNG69at065duxQTE1Nk3YYNGySpymMoqzZt2mjx4sXauHGj6/krdODAAcXHx6tPnz5nPUZsbKy2b9+u7du3q1OnTkXW/fHHH1qyZIkGDhyoHj16aO7cudq6daseffRR2Ww29erVS7169dKgQYM0ZswYbdy4UTfeeGOZtztTVbaBiryvAAAgkZMDqPnI4c+OHL6omp7D//bbbzpy5Ih69+6tqVOnlriNw+HQnDlzNGfOHN17773asWOHvvvuOw0fPlxdunRR8+bN1bx5c91www269NJLtWXLFuXl5Wnv3r1l2u705/jMebWdTqc2btyogIAANWrUSIZhyMfHR1u2bCkWZ1xcnPr376/Ro0frqaeeKra+sCPJK6+8UmwI8b1790o6+99hcHCwGjZsqN27dysnJ6fYCAtz587VoUOHNGrUqPOa4g0AaiqzuwPwFE6nU4sXL1bXrl0VEBCgpKQk19ewYcMkyTW35jPPPKN+/fqd9Ss9PV15eXmSpP379+u1117TxIkTNWzYMD333HO6+uqrtWDBAtfcnQBQkjFjxigvL0/33HOPa5ij0y1dulSrV6/W0KFDXcMo+fr6Kjc3t0gvZIfDoWeeecZ1IdBut5d4vsJhphITE4ssP3r0qGuYpPz8/DLH369fP0VGRurDDz9UQkKCrrrqqjLvezY7duzQ008/LYvFonvvvbfU7QIDAzVjxgy99tprSklJKbKu8EJBw4YNJUlWa0Gfr9Kem7JKSUnRp59+6vo9Ly9PL774oiTpmmuucS1v0aKF8vPztWLFiiL7ltRbtyyxNWzYUL169dKff/6pWbNmFVn31Vdf6ffff1evXr1KnJu6Ml199dWSCv5XZmVluZYfOnRIb731lnx8fHTZZZdVaQxlddVVV8lqterdd9/VoUOHXMuzsrJcCfi52uyoUaMkSc8++2yROc8yMjL0xBNP6IMPPnDNmffHH39o5syZWrRoUZFjHD58WNKptljW7c5UlW2gIu8rAACUBTk5gJqAHL5k5PDF1fQcvnB48rONAFB47m+++UZOp1N5eXn6+OOP9fbbbxcpCGdkZCg1NVWRkZGy2Wxl3q579+5q2rSpfvrpJy1fvrzIuadNm6Zjx45pxIgRstls8vX11fDhw7Vnzx7Nnj27yLbvvvuuJJU6PH7h32HhXNmnPweFUwec/ndY2Jni9PYxatQopaSk6OWXXy4yUsDu3bs1depUTZ8+3WNGwwMAT1Fr7uA+l+TkZKWnp+vXX38t9Z9V4Qepa665Rt27dz/r8fz8/Fz/jCIjIzVw4MAi60eNGqVvvvlG69atU/v27Sv+AADUSHfeead27dqlH3/8UcOGDVO/fv3UrFkz5efna/Pmzfr999/VokULPfHEE659rrjiCn388ce65pprNGTIEOXn52vlypXat2+fwsPDlZSUpJSUFNdcQ6fr3r27GjVqpO+++07Jyclq06aNjh07pqVLl8rX11cmk6lYknk2hcOZffzxxwoICNDQoUPL9fh/++03vfHGG5IKertmZWXp77//1po1ayRJTz75ZLG7Zk9ns9l0zz336Omnn9bll1+uoUOHys/PT+vXr9fWrVt11VVXqUWLFpIK5jiTCoaWCggI0KhRo+Tv71+ueCWpUaNGeu2117Rx40Y1bdpUq1at0q5du3TZZZfpkksucW03evRoLVu2TPfdd5+uuOIK2Ww2/fDDD2ratKn27dtX5JiFsX3xxRdKTU3V2LFjSzz31KlTNWbMGD355JNavHixYmNjtWvXLq1atUr16tUrsadxZbvqqqu0bNky/fjjj7ryyivVv39/ZWVlaenSpcrIyNCjjz6qJk2aVHkcZREdHa0pU6bomWee0ahRozRkyBAFBARoxYoVOnTokC677DKNHDnyrMe48MILNXbsWH322We67LLLNGDAANlsNi1ZskTHjh3TP/7xD/Xq1UuSdNttt2nRokV64IEHXK/1kSNH9NNPPykyMlI33XRTubYrSVW1gYq8rwAAUBbk5ABqAnJ4cvjTY6utOXxOTo5+/PFH+fn5afjw4aVu1717dzVr1kz79+/Xr7/+qgEDBmj48OH68ccfNWrUKF144YXKz8/XkiVLlJycrGeeeUaS1KlTpzJtZzab9fzzz2v8+PG68847NWjQIDVp0kSbNm3SH3/8oZYtW+qhhx5yxfPQQw9p48aN+r//+z/99NNPat26tbZu3ar169dryJAhrrnCz3TllVfq+++/16RJk3TZZZcpKChIW7du1W+//aaIiAglJiYW+TssbB//+c9/1LdvX40bN0633367Vq5cqc8++0wbN25Uz549lZaWph9++EHZ2dl6+eWXz3t+cACoqShwn1R4d9XgwYNL/dBR+EHyggsu0AUXXHDOY/r4+CggIKDEYXcKl5U2rwcASAW9fqdNm6bFixdr3rx52rJli1asWCEfHx81bdpUkydP1rhx44oMX3T//fcrMDBQ8+bN06xZsxQeHq6WLVvq0Ucf1Z49e/Tss89q+fLlJc6BFBAQoOnTp+vll1/Wxo0btWHDBjVo0EBXXnml7rrrLt1+++3asGGDMjMzXXMZncuIESP08ccfa9iwYeVONn/77TdXb1epoFds/fr1ddVVV2ns2LFq167dOY8xduxYRUREaMaMGVq4cKGys7PVrFkzPfLII0UKhY0aNdJ9992nTz/9VJ9//rlatmzpKkyWR5s2bfT444/rlVde0a+//qr69evrgQceKDZc3KBBg/Tyyy/rww8/1Lfffqvw8HCNGjVK48aNU79+/Ypse8EFF2jMmDH67rvv9Pnnn6tPnz4lJpjNmjXT119/rbfeeku//PKL1q9fr3r16mns2LGaOHFiqcPAVSaTyaTXX39dn3/+uWuoMX9/f3Xp0kXjx4/XhRdeWOUxlMe4cePUrFkzffTRR/rpp59kGIZatmypO+64Q9dee22ZjvHoo4+qY8eO+uKLLzRv3jxZLBY1b95cd999t+sOb0lq3LixvvjiC7399tv6/ffftWzZMoWFhenKK6/UpEmTXEluWbcrSVW1gYq8rwAAUBbk5ABqAnJ4cniJHH7JkiXKzMzUiBEjzlmUvfrqq/Xqq6/qq6++0oABA/Tiiy+qQ4cOmj9/vr788kuZTCa1b99ejz32mAYPHuzar6zbdevWTXPmzNHbb7+t1atX69dff1XDhg01ceJETZgwocjfRVRUlL766iu98cYb+vnnn7VmzRpFRUVp4sSJ+te//lXqYxg4cKBee+01ffDBB5o/f778/PwUHR2txx57TF27dtWoUaO0fPlyXX755ZIKOsLs2bNHq1at0v79+13vCTNmzNCHH36ohQsXatasWQoODla3bt10xx13qGfPnuV+HQCgpjMZ5ZmIpYYYO3as9u7dq1WrVrmW5efnq0ePHurevbs++uijItsnJSVp/fr16tChgxo1alSuc914443avn271q1bV2TOsV9++UV33HGHnnnmmTJfQAcAb/Tll1/qscce0yeffFLq3TgAAACoPcjJAcBzkcMDAABvwBzcJ1mtVg0YMECrV6/WH3/8UWTdtGnTdM8992j37t3lPu4VV1yhrKysIvOxOJ1OzZgxQz4+PsWGSQOAmiQ9PV2ffvqpmjRp4nF37uL/s3ff8W1V9//H3xqWJVmy5L1HnL0HIRBIQliBQIFASylQVhmFH1BGKauUUsoXChRaaIAWyh6FsiFhE2YgCTMh00mcbSfeUx4a9/eHk0CaQRzLvrL9ej4eeSS+urr3bflY0bmfe84BAACIHfTJAcB89OEBAEBPwRTlP3DVVVdp/vz5Ovvss3XqqaeqsLBQ8+bN0xtvvKGpU6dq8uTJHT7mySefrNmzZ+uOO+7QmjVrNGTIEL333nuaO3eurrrqKqWmpnbBdwIA5lqwYIFuu+02bd68WdXV1br99ttlsVjMjgUAAIAYRp8cAMxBHx4AAPQ0TFH+PzZs2KB7771Xc+fOVUNDg7Kzs3XcccfpvPPO22F9nI5obm7W/fffr9dff11VVVUqLCzUOeeco5NOOqmz3woAxKS1a9fql7/8pYLBoM4880xdfPHFZkcCAABAjKBPDgCxhT48AADoafpkgRsAAAAAAAAAAAAA0POwBjcAAAAAAAAAAAAAoEegwA0AAAAAAAAAAAAA6BEocAMAAAAAAAAAAAAAegQK3AAAAAAAAAAAAACAHsFudoDuUF/frHA4YnaMPi8pKUE1NU3ddj7vuWdKkhoefqLbzom+obvbMtBVaMvoLWjL6C1oy7HBZrMqMdFldoxehT45Oor3Q0TLj7Ulrh1hb/CehGihLSFaaEuIhlhtR3vbJ+8TBe5wOKJQiM60mSyW9r/D4YgMo5tOunSpJPGzR1SZ0paBLkBbRm9BW0ZvQVtGb0afHB3B+yGiZa/aEteO8CN4T0K00JYQLbQlRENvaEdMUQ4AAAAAAAAAAAAA6BEocAMAAAAAAAAAAAAAegQK3AAAAAAAAAAAAACAHoECNwAAAAAAAAAAAACgR4jJAndLS4v+9re/6bDDDtPo0aN13HHH6eWXXzY7FgAAAAAAAAAAAADARHazA/yvSCSi//f//p/mzZun0047TUVFRXrrrbd07bXXqrW1Vb/4xS/MjggAAAAAAAAAAAAAMEHMjeB+5ZVXNHfuXP3+97/XDTfcoNNOO02PPfaYhg0bppkzZ8owDLMjAgAAAAAAAAAAAABMEHMjuF988UXl5+fr1FNP3b7NarXq8ssv13fffadAIKCEhAQTE6K7NLaGtLisXm1hQ1P6p5gdBwAAAAAAoNu1hiLaUNus9dUB1TQHle1zKs/vUmaiU3arxex4AAAAQLeLqRHcwWBQCxcu1MSJE2W1tkdramqSYRg65JBDdMkll1Dc7uU21TXrlreLdfKjX+iwmZ/pz28X67rXl2nZlgazo/VYlqoqea68VMmjBitlQJ58Pz1e9u8W7rRf/EvPK2nyBKXmpyvp4PGKf/bpnfZxvDFL/iOmKLUwS8kTRst9521SW9tuz+14c7bS0hMVN/eTHR8IheT+y5+VPGaoUgsy5D/uKNm/+uJHvxdryWp5zztLySMHKaV/rvw/maa4jz/caT/Xg/crecJopeany3/4ZDnee/tHjw0AAAAAQKzYVNesO+es0vEPzdeUez/V2U9/owfmrtWsJVt027srdfKjX2rS3z/VTx/5Qo/NX6/aQNDsyOhjnE89rrT0xJ3+eK797fZ9LLU18vzuCiWPHKTUwiz5fnqc7N98teOBWlqU8H9/UvK44e3XiKYfrrg57+20T2p28k7nSi3M2mG3vbluZf9ivnwzjlFKv2wljxiohOt/J0vjj193jP/P00qackD7dbOJ4+R66AHpf2Ya9f9k2i5fE/u3X+/FKwoAADoipkZwb9y4UcFgUDk5OXrsscf0yCOPaMuWLfL7/Tr77LN14YUXymLZtztT9/FpiJJtr/+P/Rz+9mGJqpradPTQdPVLdsvnitOrizfrjvdX6dHTxuzTz79P/+wNQ75zTpdt5Qo1/eFmRTIz5Zp5j3wnHKPaD+cqUlAoSXK8/qq8F52nlgsuUtNhR8jx5mwl/uYi1Tvj1XbizyRJcR/OUeI5p6ttxkmq/8NNsi1fpoT/+5Os1VVq+stfdzq1pbpK3qsua/+3ZcefQ8KN18n5zJNquuEmRfIL5Hxgpnw/O0G1cz5RpKj/Lr8VS3WV/DOOkZGcrKZb/iLD65Xzycfl+/kM1b00S6GDJ0mSnA/MVMKf/qDA765VaPRYOZ9+Uoln/EJ1r7yh0IETO/2S7m1bBmIdbRm9BW0ZvQVtGQAgSYvL6vXkFxv18eoqjcv16WdjspWd6JTfZd/hmkgkYqi6Oah11QG9v7JSD32+TtOGpOsX43I0ON1j4neAvsK+eJFCAwaq4d4HdtgeSc/Y+o+IEs88Vba1a9qv/6Sly/2v++Q/8SeqmfOJwkUDJEneKy6R45231PT7Pyrcf4Cczz0j3+knq+7l2QoeeFD7uZYvlSUUUv39Dylc2O/7k9ls2/+57bpV64yT1HTDTbKv+P66VeNt7detbEsWy/+z49U2+RDVP/KkrFs2y/PnP8q+aqXq/vvK7r/Zf/9b3t9cpMAll6tt6mGK+/pLJdx4vSxNTQpcflX7PoYh29IlClx4iVqPn7HD00MDB3f8BQYAAHtkMWJoUetFixbp5JNPVmFhoerq6nTRRRcpPT1dr776qj744AP9+te/1pVXXml2THSRkopGHfX3j/W3n49Riid++/aWYFhXvbBQNxw7VCeOzd37Aw4f3v73kiVRTtqDFBdLgwdL//63dO657dvq66W0NOn666U//rF92+DB0pgx0nPPff/cU06Rvv5aWrmy/evTTpM++0xavfr7DsR110l33y01NkpxcTue+5RT2vffuFH64ANp6tT27Rs2SEVF0r33Shdd1L6ttVUaNEiaNk166KFdfy933y1de620Zo2Uk9O+LRyWRo+WCgulWbOk5mYpO1u64ALp9tvb9zEM6aCDJI9HevfdfXwhAQAAAOyrmpomhUIRs2Ogh7BYpNRUryorG/53cGSvVtsc1J/eWqEv19fq4KJkHTowVakJjr1+/qbaZn24qkrz19Vq+tB0XXlof7kdth9/Yi+2N20pafIESVLNJwu6MVnv4P/JNIXzC9Rw/66v48R99qn8M45R3dP/VduRR7dvDASUOrSfms+/SE033CTr+nVKGT9SDbf9VS3nXtC+TySi5AljFNxvPzX861FJ7aPFPVdfoco1ZVJ8/C7P573wV4r7YoGqFyzcft0q4Zab5PrnzPbnxcXJ+5uLFPfRB6r+YpHkaP/9in/2aSX+5iJVf/aVwgMG7nRci0VKnTBarSNGq/7hJ74/36UXKu6D91W9uP26mbVktVIOHKvaF15TcMrUDr+e6P366v9viD7aEqIhltuR3W5VUtKPz+YdUyO427ZOGbNhwwa99NJLGjJkiCRp+vTpOuOMM/TII4/ozDPPVGpqaoeOW1PTpHCYzrSZLBYpJcWrqqrd/7LMfLdY++X6ZQ+HVVcX2OGxGSMydcvrSzUuI0EJjr1rtv6tP/Payu+nGUoaN0Itp54ua12d4p9/VmptU9vR09X413vkeuQhOf/9L1kaGxWcMlWNd98jI/n7tb/jn3xcrn/dJ9uaEkXS0tV62i8V+O01O9wtGv/k43I+/ojsK1dIkYjC/QcqcMVVajvhxPbH//O0PFdcorrZ7yjhhmtl/26RImnpajnv12q++De7/V58JxyjuM8+3e3j1V99p0h+wU7bbWVVSpJUrzi1bXsdIoaS451q3VimpsoGWdevU3Jxseqvuvb7fSQ5ph2rxP/+V9Xzv1Gk/wB56xtlc7pUW/P9z8bl9CihrU1Va0tlJCV//9yXX5TnnXfUePtdSvz1uaqrCyi49djxr8yWNxRS1ZQjZfzgfAmHT5Nj1mzVVO56WihHYorsF16iQHyi9IN9vAX9ZCsuVm1lg+LmfiJfba1qD52m0A/2cR11rNy33KSqDeWSy7Xb13Fv7E1bBnoC2jJ6C9oyegvacuyw2fauM91TPPjgg3r88cc1d+7cvdr/ueee04033rjLx1555RUNHTo0mvEASFq4qU7XzVqmXJ9Ttxw7RJ74jl+uy/G7dPr4XB09NF2PL9ig0574Sn8+ZohGZid2QWL8r+T9RqjlF6fLUl8n57brTUdNV8PW602uh7+/3tRw147Xm5xP7Xi9qeXUna83OZ/a+XpT0xVXqe34rdebnn1a3isuUe2sd+S54VrZF7dfb2o+90euN804Ro49XG+q+nLX15u2jVZuPea43T43OHqsama/q9CYcd9vdDjaP/S0tkiSIhmZqnnnQ4V/OJuf1SrDbpOlpXX7JvviRQoPHLTb4rYkWVpaZbjdO7xukaRkWdraZGlskJGUrKbr/iDLry/eXtyW9P2AjZaW3R5bs2erqTm840vgcMjS+oOMS76TJIVGjNz9cQAAQNTEVIHbtbXwNGrUqO3F7W1OOukkLViwQF999ZWOOuqoDh+bi0SxwTB2/bOoDrRp9pJy/e7wXU9PPT7Pp09LqvTvz9brN4cUdficP+S6f6aChxyq+n89KvvCb+S55SbZF36rSGaWGu++V9Z16+T5/dVyp6er8fa7259zz11KuPVmNZ/3a7XdfJvsi79Twp23yrJpkxr/fp8kyfnwg/L8/moFrr5eTTfdIktNjdwz/ybvheeqevwERbJzZEhSJCLveWer+cKL1XTdjXI+/YQSbrpBwSHDFDzsiF1+Dw233y1LQ/1uv8dweqa0i9c1NGyE2iYfIvddtys0cLAimZly332HLM0Btcz4mQxDshWvaD9G0YAdXqtwv/bX2bZqpcJFA9R8zvnynfpTOWfeq5ZfninbymI5/3W/Wo+Ypog/efv5LeXl8lz7WzXecrsi6Znbfwbbjm0rXqGIx9s+ZdX/nM+2uUxGQ2P7aOv/0XrCSWo94aQdnmOprVHcZ58qOOkQGYZkXdH+vYT+53sJFRbJEg7LumaNwkOH7fZ17IjdtWWgp6Eto7egLaO3oC0jmj766CPde++98vl8e/2c4uJiJSQk6I/bZnv6gezs7GjGA/q8iGHoiQUb9O9563XCiEwdOjBln5fm2yYlwaHLDynSu8UVuvC/i3Tm/rk6d2KB7FbWwOhqrgd2cb1p0c7XmxL24nqTtfTHrzcl/uB6k6T2KcHP33q96fr2602eP92g0NDdX29q/JHrTZGMzF1ut64pkbWxQfZvv1LSxHGyrVurcEGhApdfpdZTTmvfKSFBof0PaP93KCTb+rVy33GrZBhq+cUv27fHx39fAI9EZC0rleuBf8i2do0ab71z+/nsi7+TYbPLd/IJivtivgyHQ63HnaimP90iw+OVJDX/qv26leu+769buR5sv261bVBGJCtbytr6f1lTk+K+XKCEW29WcMKBCu+pMD10qCKVDVLEkKW2RvGzX5fzv/9R4KJLf5BxkSIJHnluukGOd96UpalJbZOmqOnPf9nlyHAAANA5MVXgzsxs/9CUnJy802PbtjU1NXVrJnSP578p1YC0BOX6dz261mKx6OQx2brj/VU6YWSmCpLd+3wuw+tV/UOPSXa7goccKudzz8haVqbat+bISGy/8OOY867iFsxvP3d9nRLuvkMtZ/5KTf93hyQpeOjhMpKT5b3iEjVfeInCQ4bKtm6tmi++TIErr95+rkh+vpKOmKK4+Z+rdeta1hbDUOC316jl9DPbjzXhQMW/8bri331rtx2O8OAhu9y+NxrvuFu+U36q5EMObP/+LRY13HO/QhMO2Pr9tXdkIls7BNuzJ7QXmS0N7SOhg5MPUeCSy+T50w3y/OmG9m0jR6vhnw/v8DzvVb9RcPwEtf78VMXN/WSnPJb6ehle707bt3VIrI0NiuyiwL2TSETeK38jS0ODApdsXet7a6fM8O54h7rh2fF7AQAAAHozwzD09NNP6y9/+YuCwWCHnltcXKwBAwbohBNO6KJ0ACQpGI7o2teXatmWRl0xtUiFnbjO8b+sVouOGpKuYRlePbpgg5ZtadDtxw9XvN0atXNgZ33petO20cq29evU9Kf/k2GPk/O//1HipReqoa1NLWecvcP+nmt+K9eT7dONN13ze4WHj9jpmK5//E2e//uTJKn5jLMVPOTQ9ge2jhaXYajp9DMVuPJq2b/5Wu6//kX24uWqffVNyWrd6+tW246ZOrSfLC0tiiQnq/G2O3feZ1ff95cLlHTske3HHjNWzRdd8v1ji7+TtalREZ9f9Y89I+uG9XL/9S/yH3+UaubMVSQza6/OAQAA9k5MFbhTUlKUmZmp1atX7/TYxo0bJUlZWXwY6G1agmH999tSnXNA3h73y/W7dFC/ZP11zmr942f7Pt1PaOx+kv37ph9JS5eRkLC9syFJRlKyLMuWSmr/8Gppblbb0dOlUGj7Pq3TpssryfHRHDUPGaqmm2+VJFnqamVbWSzbmpLvC7w/mLJIkoLjJ3z/RXy8IimpUmDHadl3EA7veSiPfde/yrbiFfL/5EiF8wrU+PCTMhITFf/ay/JeeakMt7t9KqvIj0zfb23vAHt+d4Wc/3lSTVf+TsHJU2XdsF4Jd94m3yknqfbF1yW3W/HPPq24eZ/tee0qY8/nMyx70eEOBuW99ELFz3pVDbf9VaFx4yVJlh/9XrhjHQAAAL3fKaecooULF2rSpEmqqanRli1b9vq5K1eu1KGHHtqF6QCEwhFd9/oyra9p1rVHDNjrpdg6Ki/JpasO7a/7Plmjy19arLtPHC5XXN9el7sr9aXrTcEDD1bdU8+p7eApUkL7sh7Bw46QtbJS7tv/Ty2/PKt9KvKtWn55plpP+pkc773TPoo72KbAtX/Y4Zht06ardsKBipv/udx33S5Lc3P7+t6Gofonn1UkJVXhIe3LZAQnHqxIeroS/9/5cnzwntoOn7ZX1622C4VU98SzsrS2yn3PXfIdP121r7+951HckiJ5+ap95Q1Z169Twm1/lv/YI1Xz3ieS262m625U8yWXKzjx4PadDzxIwf0PUPKk/eV68AE13XjzHo8NAAA6JqYK3JJ03HHH6aGHHtI777yjadOmSWpfm/uZZ55RcnKyxo8fb3JCRNtri7fI74rTkPQfH7V73PAMXTtrmdZWB/b57uZdjh52736NPWt1tSTJd+rPdv345s3tf68pkfeqy+X45EMZDofCAwYptIs7UiXJ+N91oK3WPRZnfT89bp/WRHL96z4pHFHd869sX98peMihstTVyXvtb1V13AwZie2jna1NjfphAmtj+2hnIzFR1rJSOZ98VIHLf7tDByQ0dj8lT54g53+eVNv0n8hzw7VquvnW9g5UKNTeUZLa/w6HJZtNhjdRlsbGnbJuG129Lc/uWOpqlXjOLxX32adquO1OtZx7wfbHIltHblsaG2T4k3Zx7L2fmhEAAADoqUpLS3XzzTfr5z//uc4888y9fl5FRYVqamrUv3/70lEtLS2Ki4uTzUZBDIiWcMTQjW8sV0lVky4/pKjLitvbuB02XTqln/45d50ufn6R7v3pyH1a4xs/ri9dbzLS0tQ2bfpO29uOnCbPxx/IUl4uIyNj+/bQ2P0kScGDJ8tSXSX3ffcq8Ntrv1//WlJ46DCF1V68ViikhDtuVdP1NyqSm6fgwZN3ca72JSxtSxbLOmzEj163ajn3198/OS5OwamHtWeaeJCS9xsp10MPqPGe+3f7WkhSJDOrfST2QZMUKSiU/4Tpin/9FbWecprCI0Yq/L/7F/ZTeODg7SPeAQBA9MTcJ9oLL7xQ77//vq666iqdfvrpysnJ0SuvvKLVq1frrrvuUtwPPvig5wtHDD315QYdMyx9r9aZSoi3a0i6R3NLqqM6fdeeGFvXq6t/4N8K9x+w0+ORtHQpEpHv9JOlOIdq3vlQoRGjJLtdthXL5Xz+2U5naPzrPbI07n567d1Nc2TbsF7hgQO3F7e3CU48SM7XXpalokKh/u3rAFnXlEgjR3//3DUlkqTQwMGybtwgi2EoNOHAHY4THjxEkeRk2Zcvl5HgkbW+Tt7LL5b38ot32M//s+MVzstX9VeLFR4wUNaGelkqK2Wkpv7gfKsVzsuX/rcz9gPW0k3ynXyCbOvXqf7BR9tHoP8wz9Y1jWxrSrZ3nrZ9bTgcChcU7vbYAAAAQG8xZ84cORyODj+vuLhYkrR06VIdddRRWrduneLi4jRt2jT9/ve/3+VyYgD2XsQwdPPbK7RkS2N7cbubCs3OOJv+36RCPfj5Ol3030Wa+bOR8rm4vma2nny9KW7eZ7KuXaPWX5y+4wMtLTJsNhlJSbKtWC7711+q9dRf7rBLaNRoWf7zlCzV1bK0tcrx8Ydq+enPJadzh30kybq5TLLb5Xj3bbUdergiud/P/mhpaZEkGSmpe3XdSpIcb78pIzHx+1HWah8MES7sJ9vmst28SI3SO6/LOmCYwv36b98c3HoNzbplsxQKKf6F5xTuP+D7dce3vybN7QNBAABAVMVcgdvj8eiZZ57RPffco9dee00NDQ0aNGiQHnjgAaZJ64U+WFmpYNjQuFz/Xj9neKZXH62u0unjc7su2A8E99tfhsMha1mZWn/68+3bbd8tkudPf1Dgt1fLcMTLvmqlGm/5i0Jjxm3fx/H+u5L2YursH7GtcNtRoYGD5HzmKVlqqmUkfX8xKm7BPEUSfTKSk2WkpyucX6j411/doWDsmPWaQkX9FckvkOFOkGGzKW7e52o7fNr2fWyrVspaXa1wQaHaph2tmnc+3OH89oXfyvu7y9Vw598V3PoBv23rGkrxr7+ilnPOa9+xtbW9s7KbNaGk9vW1fT89TtbyctU9/6qCBx600z7B/Q+Q4U5Q/Ouvfl/gNgzFv/Fae+clPr5Drx8AAADQE+1LcVtqn55ckr799lude+65ysjI0IIFC/TUU09p2bJleuGFF+R279uNxntxPzMg6fu20tvajGEYuuP9VfpqQ52unFqkRGf3XpJz2K369UEFemT+Bl364nd66Bej5ezl05V3pC1Fq7398DiWXWz74X6h8e3Xm2yby9T2sx2vNyX86Q/ta27Hf3+9KTx23PZjxs/5/nqTxbLjuXZ3vl2JDNzz9abdvSxxcz9Wwu23qnrCBEW2DpxQJCLn668qtP8BssQ7FLfwa3kv+3+qHThwh6Kv48M5iqRnSOlpss37XN4rLpHhdqntpJN32MdwOBQZOFCWxkZ5f/sbBS6/SoHf37h9n/hXXpRhsyk4caIMX9L261bBI3a+bhUpLJTF0j7TobWiXLUffS5tnZ3EWrpJ9uLlaj73gl2/dnF26bzz5D75F2q8657vM340R5IUHjZclji7Eu66XZGMTNXNfuf78y/8VrY1JWq+9Ipe956Gjuut/7+h+9GWEA29oR3FXIFbkpKSknTTTTfppptuMjsKutgbS7fo4H7JsnVgbeQR2Yl6/tsyNbSE5O2GDqGRnKLAJZcp4fZbZGmsV/CgybKWlSrh9v+TLBaFho9ov9szv0DOhx9UOCtHht8vx5z35Hpw69RGgaYuz7krzRdeIucLz8n30+MVuPy3MryJip/9upwvv6jGm2/dvpZS01XXKPE3F8lISlLr0cco/s035Hz1JdU/+Gj7a5CaquYL/p9c97V/kG875FBZN25Qwl//onBevlrOOEuGz6/Q/4wUtzS1f9/hAQMVHjZcUvt6RS2nnCbPjdfJ0tKicP/+cv3zPlnq6hS4+LLtz7WuKZG1qlKhretHue+4VfbVq9T0u+tk2O2yf/mDdb7j4xUaOVpyuxX4f5fKfdftMhxxCu1/gJzPPCX7wm9V+/IbXfMiAwAAAL3EiBEjdOGFF+qXv/yl0tLSJElHHHGECgoKdPPNN+vZZ5/Vr371qw4fNylp91P0AruTkrLzdM892dPz12nOykrdfMIIpXrMu/n68iMH67Y3l+m2OSWaedrYvZpNr6fbY1uyWSVJqamdbG9Wi2zOODl/eJytNxDscGxnnGS1tG9L9UpXX62Ev9yihHCrNHWqtGmT9Ic/SBaLHIdMlHw+qbBQnsf+Lc+QAVJSkvTWW9Lf/y5J8lrD8qZ6JW/76OfkZE/7cfeUKxqu+I30+CNKPvNU6eab29fhvv9+aflS6eOP27+/c86Q/jlT/ovOk265RUpLk55+Wnr7TemJJ5Sa7pN+Mk064gglXn+1ZASl/v2lWbOkRx6S/vQnpQzIbz/fOefIfd89cqf4pIkTpU8/lW69VbrkEiUfsHWgyeWXy33PPXK7HdKRR0rr1kl/+pNUUKCEyy9Rgt8r3XyTdOSRSr34POmCC6SKCunPf5aSkuS+4Tq5t71O8+a15+3fX5JXuu46Of/4Rznzc6RDD5UWLmw/9hFHyPeLn7ZXB27+k2xnnaXUKy+Wzjij/fw33iiNGSPvJb+Wl+U+sFVv+/8N5qEtIRp6cjuKyQI3+oZwxNA3G+t0yZR+HXpeaoJDWb54zVtXoyMHp3VRuh0Frv2DIumZcj36kNwz75Hh86ttylQ1/f6P29d1rnvsGXluuEbe31wkxTsUGjREdU8+J88frlXcvM/Vct6F3ZL1hyJ5+aqd/Z4SbrlJ3it/I0UiCg8erLpHnlLbT47fvl/rL05XQ2urXPffK+d/nlK4oFD1M/+l1hk/3b5P0023KJKdLefjj8j1wD8UychU29TD1HTdjTJ8/g7lavjrPYr4/XL/42+yBJoUHDVGdc+/okjR91M9Jdx9h5zPPaOK8npJUvys19q333mbEu68bYfjbZv+XJICV10r2e1yPvmYrPf/Q6FBQ1T/5LMKHbDjNFUAAAAAdjR+/HiNHz9+p+0///nPdeutt2revHn7VOCuqWlSONy5Wa3Qd1gs7RfaqqoaZBhmp4mOZZsbdPPrS3XxpELFhcOqqwuYmudXE/J055xVuvW1xfr1wYWmZulKe9OW/Fvfm2ordz9N995IihgKtgTV+IPj+ILtKzLX/WCbpyWouIihmm3bLrtaTm+SnI88JNsdd7RfbzpkqgK//6MiQatU2SDbo0/L8/trZDvrbCneofCgIQo89ZwSbrhW4fc+UMOpZyu+oUVeSdXVjYp4GvaYKypsbllffVMJt/xJcZdeKktjo0JjxqnpxdcV6j9M2no+y3OvKOHWmxX3u6tlralWaNhwNT/5rNqOPub7fR56XK47/6L4W2+TdXOZwkX91XzXvWr95Znb99Gf75ArI0fxjz0u2y23KJKVrZZrfq/mSy77fp9rbpTTnyrn44/IdtddimRkKjj1MDVdf6OMkK19v5HjFffCq3L/5f9k++nPJLtNbYcdocCNNytic28/VurEiWo55TQ1zvxnezu64QY1urxyPvygbH/9qyIpqWo981cKXH2dVNXYfv5jTpTjIUOumffIPmOGDLdbrcccp8ANf5RRY+7vPGJDb/z/DeagLSEaYrkd2WzWvbpJ2mIYsRY9+mpqmhQK0Zk2k8XSfsdqZeX3vyzLtzTogucW6q8nDO/QCG5JenlRmSwWi/58zJDd7pM0uX3kb80nC3a7D9BRu2rLQE9EW0ZvQVtGb0Fbjh12+951pnuKM844QyUlJZo7d26njjNx4kT1799fTz31VIefS58cHdHb3g/rW4I6/YmvNbEwSUcNTTc7znab6lr01zmr9fsjB8ZUrmjam7bEtSP8mN72ngTz0JYQLbQlREMst6O97ZNbuyELsEtfbqjTwDRPh4vbkjQyO1GfralWOBJjv3kAAAAA0ENdc801Ou644xSJ7FiMrqmpUXV1tfLy8kxKBvRMEcPQH99coXRvvI4c0j0z0O2tHJ9TvzowT39+p1jfldabHQcAAADoEArcMM0X62o0MG3fRkYUJbsVMQwtLqMTBgAAAADRkJqaquLiYr355ps7bP/HP/4hSTruuOPMiAX0WE9+sUErtjTqrP1zZY3Bta5HZiXq+BEZ+t1rS1TbHDQ7DgAAALDXWIMbpghFDH1bWq+pA1P26flWq0UjMhP1aUm1Ruf4opwOAAAAAHq3QCCgd999V6mpqTr44IMlSb/+9a/15ptv6tprr9V3332nvLw8ffrpp5ozZ45OPvlkHXTQQSanBnqOJZsb9NDn63Xl1CIlxMfu5bfDBqZqZUWT/vz2Cv31hOGyxGAhHgAAAPhfjOCGKVaUN8oiKdfn2udjDM/y6uPVVdELBQAAAAB9RHV1ta6++mr985//3L4tMTFRTz/9tI4++mi98soruu2227R+/Xpdf/31uvnmm01MC/QsoXBEf35rhaYNTlNBstvsOHtksVj0y/G5+q60QS9/t9nsOAAAAMBeid1bSNGrfbW+VgPTEmTdh/W3txmW6dGj89drc32LMhOdUUwHAAAAAL3Dk08+ucvtubm5WrFixU7bs7KydOedd3Z1LKBXe/LLjWoJRXRUjK27vTueeLvOmpCrv32wWmNzfOqXEttFeQAAAIAR3DDFgvX7vv72NgkOuwamefRpSXWUUgEAAAAAAOy7ddUBPTxvvU4fnyO7redcdhuS4dWUASm6ftYytYUiZscBAAAA9qjnfNJGrxEKR7SotF6D0z2dPtbwTKYpBwAAAAAA5osYhm55p1gH90tWUUrnbuo3w/HDMxSKRDTzkzVmRwEAAAD2iAI3ut2yLY2yW63K9nV+WvFR2V59uaFWzcFwFJIBAAAAAADsm1e/26wNtS06fkSG2VH2id1m1TkH5OulRWVauKnO7DgAAADAblHgRrf7csPW9bct+77+9jYZ3nj5nHH6lo4XAAAAAAAwSWVjq+75qESnjsuWM85mdpx9luGN1zFD03XLO8VMVQ4AAICYRYEb3e6LdbWdXn97G4vFoqIUtxaXNUTleAAAAAAAAB0189O1Gprh0YisRLOjdNoRg9MUMaQnvthgdhQAAABglyhwo1sFwxEtKqvXoCisv71NQbJbi0rro3Y8AAAAAACAvbWivFHvLi/XjJFZZkeJCpvVotP2y9Gj8zdobVXA7DgAAADATihwo1st2dygeLtV2YnxUTtmUYpbSzc3yDCMqB0TAAAAAADgxxiGob99uFqHDEhRqsdhdpyoKUx2a3L/ZN3yTrEiXG8BAABAjKHAjW715fpaDUpLkCUK629vk+t3KtAW1sbalqgdEwAAAAAA4MfMXVOt4vJGTR+aYXaUqDtueIY21bXole82mx0FAAAA2AEFbnSrL9fXakCU1t/eJs5mVX6SS4s3M005AAAAAADoHqGIob9/WKJjhmXI7bCZHSfqnHE2nTIuW/d+VKKqpjaz4wAAAADbUeBGtzEMQ8vLG9Uv2R31Yxcmu/Qd63ADAAAAAIBu8up3ZWoNRTSlf4rZUbrMyKxEDU73aOYna8yOAgAAAGxHgRvdprSuRYG2sLISnVE/dmGyW9+VNkT9uAAAAAAAAP+rsTWkBz5dqxmjMmWzRm8Ztlh00qgsvbO8Qks3c90FAAAAsYECN7rN0tJ6Zfucctij3+z6pbi1qrJJraFI1I8NAAAAAADwQ099sUGZifEanZ1odpQul+px6PBBqbpzzioZhmF2HAAAAIACN7rP0tJ65fpdXXLs1ASHXHE2rShv7JLjAwAAAAAASFJdc1DPfL1Jxw3PlMXSu0dvb3P00HSV1rXoreXlZkcBAAAAKHCj+3y3qVY5vuhPTy5JFotF/VLcWlzGOtwAAAAAAKDrPP3VRvVLdmtAWoLZUbpNvN2qGSMzdc9HJQq0hc2OAwAAgD6OAje6zdKyeuX5u6bALUmFyS59V0qBGwAAAAAAdI3a5qCe/XqTjhmeYXaUbrd/vl9JLoceW7De7CgAAADo4yhwo1s0tIRUWtvSZVOUS1JhsluLyxq67PgAAAAAAKBve+arjSpKSdCA1L4zensbi8Wik8dk6ekvN2lTXbPZcQAAANCHUeBGtyiuaFSaN16eeHuXnaMw2a0tDa2qamrrsnMAAAAAAIC+afvo7WHpZkcxTUGyW+PzfLrvk7VmRwEAAEAfRoEb3WJFeaMKUtxdeg63w6Ysn5NR3AAAAAAAIOqe/rJ99Hb/Pjh6+4d+MiJDH62q0rItXH8BAACAOShwo1ss39Ko/KSuLXBLUmGSS4vLWIcbAAAAAABET20gqOe+2aRj+/Do7W2S3Q5NHZiiez4qkWEYZscBAABAH0SBG92ifQR319/hXJji1ncUuAEAAAAAQBQ9/dVG9U9JUFEfH729zVFD0rR8S6PmrasxOwoAAAD6IArc6HLBcETrqptV2MVTlEtSv2S3lm5uUDjCHcQAAAAAAKDzGltDev7bUh01lNHb2yQ47Jo+NF33frRGEUZxAwAAoJtR4EaXK6kMyGGzKs0b3+XnyvY5FTGktdWBLj8XAAAAAADo/V5eVKasRKcGpHb9jfs9ySEDUlTbHNRby8rNjgIAAIA+hgI3utyKikblJblksVi6/Fw2q0UFSS4tKWvo8nMBAAAAAIDeLRiO6OmvNuqIwandcl2jJ4mzWXXciAzd98katYYiZscBAABAH0KBG11uRXmjcnxdP3p7m1y/SyvKG7vtfAAAAAAAoHd6a1m5HDarRmUnmh0lJu2f75czzqbnvy01OwoAAAD6EArc6HIrtjQq1+/qtvPl+p1aToEbAAAAAAB0QsQw9PgXG3TEoDRZGb29S1aLRceNyNBj89erqS1kdhwAAAD0ERS40aUMw9DKyibldWuB26VVlU3ddj4AAAAAAND7fFpSrbrmkCYU+M2OEtNGZHqV5onXf77aZHYUAAAA9BEUuNGlNtW1qC0UUVZi901RnpUYr9ZgRMGw0W3nBAAAAAAAvcvjCzbo0IEpirNx+WxPLFtHcT/15UbVtwTNjgMAAIA+gE/o6FLFFU3K9jll78bOYJzNqhy/U22hSLedEwAAAAAA9B4LN9VpZUWjphSlmB2lRxic7lF+kktPfrHR7CgAAADoAyhwo0sVlzcq1+fs9vNmJzrVFqbADQAAAAAAOu6JLzZocv8UuRw2s6P0GMePyNSzX29SVVOb2VEAAADQy1HgRpdavqVROd24/vY2uX6nWhnBDQAAAAAAOmhjbbM+W1OjQwcwersj+qW4NTjDo8cWrDc7CgAAAHo5CtzoUsUVjcr1d/8I7ly/ixHcAAAAAACgw577ZpPG5fqU5HaYHaXH+cmwDL20sExbGlrNjgIAAIBejAI3ukxja0gVjW3KMWGK8ly/U6GwoUjE6PZzAwAAAACAnqmxNaRXv9usqQMZvb0v8pJcGpWdqH9/vs7sKAAAAOjFKHCjy6ypCsjntMsTb+/2c3vi7bJZpVZGcQMAAAAAgL00a8kWZSU6VZSSYHaUHuvY4RmavXSLyupbzI4CAACAXooCN7rMmuqAskwYvb1NnM2qNtbhBgAAAAAAeyFiGHr2602aytrbnZKV6NTYHJ8e/py1uAEAANA1KHCjy6ypbFKGN96089utFtbhBgAAAAAAe2VuSbWa2sIal+szO0qPd8ywdL2xbIs21TWbHQUAAAC9EAVudJlVVQFlmVjgjrNZ1coIbgAAAAAAsBee+WqjpvRPlt3G5bLOykx0alyuTw/PYxQ3AAAAoo9P7Ogya6sCykw0c4pyi4JhQyFGcQMAAAAAgD1YXdmkRaX1mlzE9OTRcsywDL21rFwbaxnFDQAAgOiiwI0u0RwMa0tDq7ISzRvBbbNaJElrq+lIAQAAAACA3fvPV5u0f36SvE672VF6jQxvvPbL9evfjOIGAABAlFHgRpdYVx2Q22FToskdwzibRcUVjaZmAAAAAAAAsauuOai3lpXr0IGM3o626cPS9c5yRnEDAAAguihwo0uUVAWU7XPKYrGYmiPOalVxOQVuAAAAAACwa7OWbFFBsku5fpfZUXqdDG+8xuf59e/PGcUNAACA6KHAjS6xpiqgDK9505NvY7dZtJwCNwAAAAAA2IWIYej5b0s1uT+jt7vK9KHpemcFo7gBAAAQPRS40SVWVzUpMwYK3HE2q1ZWNMkwDLOjAAAAAACAGDN/XY0aW0Mam5NodpReK33rKO6HWYsbAAAAUUKBG11iTVVAWT6n2TFkt1rU2BpSRWOb2VEAAAAAAECM+e83pTq4X7LsNi6RdaWjh6br7eXl2lTHKG4AAAB0Hp/eEXVtoYhK61qUFQMjuC0WKdMbr+IKpikHAAAAAADfK6tv0by1NZrUP9nsKL1ehjde43J9emTeBrOjAAAAoBegwI2oW1/TLIfNqiR3nNlRJEm5fpeKy5vMjgEAAAAAAGLISwvLNDI7Ucluh9lR+oTpQ9P15rItKq1rMTsKAAAAejgK3Ii6NdUBZfucslgsZkeRJGX7nCouZwQ3AAAAAABo1xaK6OVFZZrC6O1uk5no1Ngcnx6dz1rcAAAA6BwK3Ii6NVVNyoiB6cm3yfE5tbKCEdwAAAAAAKDd+ysr5HLYNDjdY3aUPmX6sHTNXrpFm+sZxQ0AAIB9R4EbUbe6MqDMWCpw+53aWNes1lDE7CgAAAAAACAG/PebUk0uSpE1Rmaf6yuyEp0ak+PTo/NZixsAAAD7jgI3oq6kqklZPqfZMbZLcsXJabdpTRWjuAEAAAAA6OuKyxu1sqJJEwuTzI7SJ00fmq5ZSzYzihsAAAD7LOYL3Js2bdK4ceN07bXXmh0FeyEUMbSxtkVZibEzgttisSjX79SqSgrcAAAAAAD0dS8sLNX4PL/cDpvZUfqkbJ9TI7MT9fgCRnEDAABg38R0gdswDF1//fVqaqIw2VNsrG2W1SKluB1mR9lBFutwAwAAAADQ5zW1hfTWsnJN7p9sdpQ+7Zih6Xpt8WaVN7SaHQUAAAA9UEwXuJ9++ml99dVXZsdAB6ypCigz0SmrNbbWsMrxObWynAI3AAAAAAB92dvLK5TuiVdBksvsKH1ajt+lEVmJevwLRnEDAACg42K2wL1+/XrddddduuSSS8yOgg5YUxVQpjd2piffJsfHFOUAAAAAAPR1L35bqklFybJYYuvG/L5o+tB0vbposyobGcUNAACAjonJAnckEtG1116rwYMH66yzzjI7DjqgpKpJmTG0/vY22T6napqDqg60mR0FAAAAAACYYOnmBq2vadb++X6zo0BSXpJLQzM9euKLjWZHAQAAQA8TkwXuxx9/XIsXL9att94qqzUmI2I3SqoCykp0mh1jJ644m9I9Dq1iHW4AAAAAfciDDz6ogw8+eK/3D4fDeuihhzRt2jSNGjVKxx9/vN54440uTAh0nxcWluqAgiQ542xmR8FWxwxL10sLy1TVxIAEAAAA7D17Z578/PPPa/r06fJ4PNHKo5KSEv3973/XZZddpqKiIrW2RmeaImae6nrhiKF11YFdjuDe9vpbLJJhdHOwrbK3TlN+QGGSOQHQK/ywLQM9GW0ZvQVtGb0Fbblv6oo+9Q999NFHuvfee+Xz+fb6Obfffrsef/xxnXjiiRozZozeeustXXHFFYpEIvrJT37SJTmB7tDYGtI7yyt01aH9zY6CH8hPcmtIhkdPfLFBV0zlZwMAAIC906kC9x/+8Af93//9nw477DCdcMIJmjRpkmy2fb8LNhwO67rrrtPQoUN1zjnndCbaDpKSEqJ2LOzehuqAwoY0IMcv+25G3icmurstj21rBp+v/Zz90r3aUN+q1FRvt2VA75WSQjtC70BbRm9BW0ZvQVvuW6Ldp97GMAw9/fTT+stf/qJgMLjXz1u7dq2efPJJnXHGGbrhhhskSSeffLJOP/10/eUvf9G0adPkcDg6nQ8wwxtLy5XrcyovyWV2FPyPY4al6+4PS3TWhDwlu3mPAQAAwI/rVIH7L3/5i1577TW9/fbbevPNN5WUlKRjjz1WJ5xwgkaMGNHh4z3yyCNavHixnnjiCdXW1krS9s54W1ubqqur5fF4OtyhrqlpUjgc6XAedMzXJdXK8DrU1NCy02MWS3txu74+0G0juMOR9p95XV1AkpTitOnj1VWqrGzongDolSyW9gvPVVUNps1GAEQDbRm9BW0ZvQVtOXbYbNZuu0k62n3qbU455RQtXLhQkyZNUk1NjbZs2bJXz5s9e7YikYhOP/307dtsNptOP/10XXXVVfriiy86NN05ECsMw9CLC0s1qSjZ7CjYhYJktwale/TkFxt12SFFZscBAABAD9CpAveMGTM0Y8YMVVZWatasWXrttdf05JNP6qmnnlK/fv00Y8YMHXfcccrKytqr43388ccKhUI67bTTdnps9uzZmj17tm677TaddNJJHc7KRaKut7Y6oAzvrtff3vb6m/lzyPU5tbYqoFDYkM3K3I/oHMPgfQW9A20ZvQVtGb0FbblviXafepvS0lLdfPPN+vnPf64zzzxzr5+3ePFieTwe9evXb4ftw4cP3/44BW70RItK67W5vlXj8/xmR8FuHDM0XX//qERn7J/LKG4AAAD8qE4VuLdJTU3V2WefrbPPPlurV6/Wm2++qY8++kh///vf9fe//13jx4/XjBkzNH36dLlcu58K6pprrlF9ff0O24LBoC644AJNmjRJ5557rgYMGBCNyOgCa6oCSvfEbickzRMvQ9KG2mYVJnffVOkAAAAAsCfR6lNvM2fOnH2aSnzLli3KyMjYaXt6erqk9sL5vmJ9eeytbW0lmm3mpUVlOqDAL4d918upwXz9UtwanO7RU19GbxR3R9oS71HYna54T0LfRFtCtNCWEA29oR1FpcD9Q/3799ekSZPU1tamyspKlZWVacGCBVqwYIFuu+02nXvuubrgggtk3cUazbuagq21tVWSlJaWpoMOOijacRFFJVUBjc1NNDvGbtmsFuX4nFpd2USBGwAAAEBM6kyfept9XSe7qalJCQk7T8/udLbP1NXc3LxPx+2uKd/Ru6SkeKNynLpAUO8XV+rmE0bI5+NaQCw7ef983frGMl1+1BCleOKjdtw9tiVb+3tpamp02ht6r2i9JwG0JUQLbQnR0JPbUdQK3MuXL9frr7+uN998U2VlZTIMQyNGjNB5552n6dOna+nSpfrXv/6le+65R1VVVfr9738frVMjRqyrDmj60HSzY+xRVqJTKyuadPigNLOjAAAAAMB2sdKntuzhFv49PbYnNTVNCocj+xoJfYzF0n6hraqqISpLNjz39Sbl+V3y2aS6ukDnD4gukxZv1cC0BP397eVRGcW9N23Jv/W9qbayodPnQ+8U7fck9F20JUQLbQnREMvtyGaz7tVN0p0qcG/YsEGvv/66Zs+erZKSEhmGoczMTJ1//vk64YQT1L9//+37Tpo0SQcccICOPPJIvfzyyxS4e5na5qDqWkLK9EbvDtuukONzqrii0ewYAAAAABBzfWq3262Wlpadtm/b5vF49vnYsXbRBLHPMDrfbgzD0IsLyzSpKDk6odDlpg9N1z0fleiM8blKitJa3HvTlniPwo+JxnsSINGWED20JURDT25HnSpwH3nkkZIkl8ul448/XjNmzNCBBx6427u64+Li5PP59jiV2v+Kj4/XihUrOhMT3WBddUBJrji5HDazo+xRts+puWuqzY4BAAAAAN3Sp+6I7OxsffHFFzttLy8vl6Rdrs8NxLLFZQ3aXN+q8Xl+s6NgL/VLcWtgWoKe+nKjLp0SnbW4AQAA0Pt0qsB94IEHasaMGZo2bZrc7r1bx2jmzJlKSUnpzGkRg9ZVNyszMbZHb0tSrt+psvpWBdrCcsd4MR4AAABA7xZrferhw4frvffe04YNG5SXl7d9+5IlSyRJI0eO7JLzAl3lxUVlmlDgl8PeNTeFoGscMyxD93xUol9GcRQ3AAAAepdOfcKfMWOGhgwZsseO+FdffaX77rtv+9d5eXl73XFHz7GmOqB0T+wXuBOdcUp02rW6ssnsKAAAAAD6uFjrUx911FGyWCx64okntm8Lh8N6+umnlZGRofHjx3fJeYGu0Nga0nvLK5ievAfaNor7iS82mh0FAAAAMapTBe7rrrtO77///h73effdd/Xggw925jToAdZUNSkjxtff3ibX79QqCtwAAAAATGZmnzoQCOjVV1/V3Llzt2/r37+/TjnlFD3xxBO6/vrr9d///lfnnnuuvvnmG1177bWKi4uLeg6gq7y5rFy5fqdy/S6zo2AfHDs8Q89/W6qqpjazowAAACAGdWiK8pdeeklz5szZ/rVhGJo9e7aWLVu2y/2DwaDmz58vv9/fqZCIfWurm7VfD1nTKtPr1MqKRrNjAAAAAOhjYqlPXV1drauvvloTJkzQwQcfvH37H/7wB6WmpurFF1/U7Nmz1a9fP91777066qijop4B6CqGYeiFb0t1cD9Gb/dUhcluDc3w6LEF6/XbQweYHQcAAAAxpkMF7smTJ+uWW25RIBCQJFksFpWUlKikpGS3z3E4HPrNb37TuZSIaW2hiMrqW5TZg0ZwL9xUb3YMAAAAAH2MGX3qJ598cpfbc3NztWLFip222+12XXrppbr00kv3+ZyA2ZZublBZfYvG5/vNjoJOOHZYhv46Z7XO3D9PaT1gWTwAAAB0nw4VuNPS0vTee++publZhmHoiCOO0FlnnaUzzzxzp30tFovsdruSkpKYxqyX21jXrDibVX53z/g55/qdenFhmQzDkMViMTsOAAAAgD6CPjXQPV5cVKYJ+UmKt3dqZT6YLC/JpRFZXj0yf72uOXyg2XEAAAAQQzpU4Jak5OTvp3e67bbbNHToUOXk5EQ1FHqWtdXNyvTGy9pDisVZiU41B8Pa3NCqrESn2XEAAAAA9CH0qYGu1dga0jvLK3TVof3NjoIoOGZ4hm5/b6XO2j9PmVzDAQAAwFadupX1xBNP1JAhQ6KVBT3UuuqAMnrI9OSSFGezKivRqeLyJrOjAAAAAOjD6FMD0ff28nJl+5zKS3KZHQVRkONzakyOT4/MW292FAAAAMSQDo3gnjBhgi644AKdd95527/eGxaLRfPnz+94OvQIJVVNParALbV3kFZWNOqQASlmRwEAAADQR9CnBrqWYRh64dsyHdwvyewoiKJjhqXr1ndX6qwD8pTj48YFAAAAdLDA7fF45HA4dvgaWFvVrEn9k398xxiS43OquLzR7BgAAAAA+hD61EDXWralURtrmzU+r9DsKIiizESnxuX69dBn63XT9MFmxwEAAEAM6FCBe86cOXv8Gn2PYRhaVxPQz7xZZkfpkFy/SwvW15odAwAAAEAfQp8a6FovLSzThIIkOeNsZkdBlB07PF03v12ssybkqV+K2+w4AAAAMFmn1uAGKhrb1BKM9LgpynP9TpXWtag5GDY7CgAAAAAA6KSmtpDeXl6uSUVMT94bpXnidVBhsh6Yu8bsKAAAAIgBnS5w19fX65lnntn+dV1dna688kpNmTJFp556qj7//PPOngIxbG11QGkeh+JsPeteiUSnXV6nXasqmsyOAgAAAKAPo08NRMfbyyuUmRiv/CRG9/ZW04ela25JjZZtaTA7CgAAAEzWqark+vXrdfTRR+vPf/6ztmzZIkm68cYb9cYbb6ixsVGLFi3S+eefr2+//TYaWRGD1lY3KzPRaXaMDrNYLMrzO7WygnW4AQAAAJiDPjUQPS8uLNXB/ZLNjoEu5HfFaerAFM38hFHcAAAAfV2nCtwzZ85UXV2dfve738nv96uyslLvvvuuBg4cqM8++0xvvfWWPB6P/vnPf0YrL2LM2uompXscZsfYJ1mJThUzghsAAACASehTA9GxbEuD1lc3a/98v9lR0MWmDU7Td6UN+mpDrdlRAAAAYKJOFbg///xzTZs2Tb/61a8UHx+vDz74QJFIRDNmzJDT6VReXp6OOuooffPNN9HKixizpirQ49bf3ibX79KKckZwAwAAADAHfWogOl5aWKb98/1yxtnMjoIu5om364hBqZr5yRoZhmF2HAAAAJikUwXuuro65efnb//6k08+kcVi0aRJk7Zv83g8amtr68xpEMN66hTlkpTrd2p1ZZMidIgAAAAAmIA+NdB5TW0hvb28XJOKmJ68rzh8UKrW1zRr7ppqs6MAAADAJJ0qcGdmZmrDhg2SpLa2Nn322WdKS0vT4MGDt+/z7bffKisrq3MpEZOa2kKqbGpTZg8dwZ3pjVcwbKi0rsXsKAAAAAD6IPrUQOe9vaxcGd54FSS7zY6CbuKMs+moIWn6x8drFI4waAEAAKAvsnfmyePHj9drr72mmTNnasWKFWpqatJPf/pTSdKGDRv06KOP6uuvv9b5558flbCILetrmuWJt8kT3zOnALPbrMr2ta/Dnet3mR0HAAAAQB9DnxroHMMw9MLCMh3cj9Hbfc2U/in6cGWV3li6RceNyDQ7DgAAALpZpwrcv/3tb7Vs2TLNnDlTkpSXl6cLL7xQkvTEE0/omWee0dixY+mM91JrqgLKSnTKYrGYHWWfZSc6tbK8UYcNTDU7CgAAAIA+hj410DlLNzdoY22zLp5UaHYUdLM4m1XHj8zQA5+u1ZGD01h/HQAAoI/pVIE7JSVFzz33nD777DNFIhEddNBBcjrb12M+6qijNG7cOB1xxBGKi4uLSljEljVVAWX00OnJt8nxO7WivNHsGAAAAAD6IPrUQOe8sLBME/KTKG72Ufvl+fV+caWe/XqTzj4g3+w4AAAA6EadKnBLksPh0NSpU3faPn78+M4eGjFudWVTj11/e5tcv1Nz11SbHQMAAABAH0WfGtg3ja0hvbuiQr87rL/ZUWASq8WiE0dl6cHP1mnGyCz53dwMBAAA0Fd0usAdDAY1f/58bdq0SW1tbTIMY5f7nXnmmZ09FWJMSVVAY3J9ZsfolFyfS5vrW9XYGpInvtO/DgAAAADQIfSpgX3zxtJy5fqcyvW7zI4CEw1O96goxa2H56/Tbw8dYHYcAAAAdJNOVfQ2bdqkc845Rxs2bJCk3XbELRYLnfFepi0UUVl9i7ISe/YIbq/TriRXnFZVNPX4Yj0AAACAnoU+NbBvDMPQC9+WanL/ZLOjIAbMGJmp299fpVPG5nDDAwAAQB/RqQL3X//6V61fv14HH3ywpkyZIq/XK4vFEq1siGHra5rlsFmV5Or50z/l+p0qpsANAAAAoJvRpwb2zaLSem1paNX4PL/ZURADcvwu7Z/v132frNFtxw0zOw4AAAC6QacK3HPnztX++++vhx9+OFp50EOUVDUp2+fsFRdfshKdKi5vNDsGAAAAgD6GPjWwb15cWKYDCv1y2K1mR0GM+MnwDP3prWIt3FSn0TkMYAAAAOjtOtUTCAaDGj16dLSyoAdZUxVQhrdnT0++Ta7fqRUVFLgBAAAAdC/61EDH1TYH9X5xhSYXpZgdBTEkye3QkYPT9NcPViuym+UeAAAA0Ht0qsA9YsQILVmyJFpZ0IOUVAWU2cPX394m1+/SmqqAQhE6QAAAAAC6D31qoONmLdmifiluZfucZkdBjDlycJoqGlr11rJys6MAAACgi3WqwH3llVfqyy+/1KOPPqpQKBStTOgBSqqalJXYOzqTmVtHoq+tCpicBAAAAEBfQp8a6JiIYej5bzYxehu75LBbNWNUpu79uETNwbDZcQAAANCFOrUG93//+18VFhbqjjvu0L333qvs7Gw5HI6d9rNYLHrppZc6cyrEkFA4oo21LcrqJSO4rVaLCpJcWralQQPSEsyOAwAAAKCPoE8NdMz8dTVqagtrTE6i2VEQo8bn+fXRqio9Pn+9Lprcz+w4AAAA6CKdKnC//PLL2//d3Nys1atX73I/i8XSmdMgxmysbZHVIqW4d77w0lPl+l1aurlBx43INDsKAAAAgD6CPjXQMc9/U6qD+iXLbuvUhIToxSwWi342Jlt/+7BEJ47OUmqq1+xIAAAA6AKdKnAvX748WjnQg5RUB5SV6JTV2nsushQkuzR/XY3ZMQAAAAD0IfSpgb23ub5Fn6+t0c3TB5sdBTGuMNmtcbk+3fNRiR4qSjM7DgAAALoAt7yiw9ZWBZTZS6Yn3yY/yaVVFU0KRQyzowAAAAAAgP/x0qIyjcjyKjmh98wmh65z/IhMfbK6WvNKqsyOAgAAgC7QqRHc26xatUovv/yyli9frrq6Or3wwgv64IMPVFdXp+OPP15WK3X03mR1ZZMyvL2rwJ3hiZfVYtGaqiYNTPOYHQcAAABAH0KfGtizYDiilxdt1hn755odBT1EkjtOxw7P0A2vLNZTp4+RjfdRAACAXqXTBe4HH3xQ99xzj8LhsKTv1wZbsGCBHnvsMb3zzju65557FBcX19lTIUaUVAV0+KBUs2NEldVqUX6SS8u2NFLgBgAAANBt6FMDP+6DlZWKt1s1NIP+OvbeYQNT9cWGOj3z1SadsX+e2XEAAAAQRZ26ffHtt9/W3XffrVGjRunRRx/VOeecs/2xX/ziFzrooIP0wQcf6Jlnnul0UMSGcMTQ+pqAsnrZFOWSlJfk0tLNDWbHAAAAANBH0KcG9s5/vynVpKJkWbfeAALsDZvVorMOKtRDn6/TloZWs+MAAAAgijpV4H700UeVn5+vxx9/XBMnTlRCQsL2xwoKCvTggw+qqKhIL7/8cqeDIjaU1bcoYkhpnt5X4M6nwA0AAACgG9GnBn7cqoomLdvSoImFSWZHQQ80LCtRo7N9uvuD1WZHAQAAQBR1qsC9YsUKHX744XI4HLt83GazacqUKVq/fn1nToMYsqYqoExvvGzW3nfXdEGSS6srmxQKR8yOAgAAAKAPoE8N/Lhnv96kCflJ8sR3epU99FEnjsrUvLU1mre22uwoAAAAiJJOFbhtNpuampr2uE9dXZ1sNltnToMYsqYqoMxeOD25JKVvLdyXVAXMjgIAAACgD6BPDexZXXNQby0r19SBKWZHQQ/mc8XpuBEZuv29VWoLMagBAACgN+hUgXvkyJGaM2eO6uvrd/l4ZWWl3n//fY0YMaIzp0EMWV3VpAxv7yxwWy0W5Se5tXxLo9lRAAAAAPQB9KmBPXtt8WYVpriU63eZHQU93JT+KbLZLHpk3jqzowAAACAKOlXgvuCCC1RVVaXTTz9d77zzjiorKyVJmzZt0ltvvaXTTz9d9fX1Ouecc6ISFuYrqQwoK9Fpdowuk+d3aukW1uEGAAAA0PXoUwO7F44Yeu6bUk3pz+htdJ7NatHp++XqyS83aVXFnmfOAAAAQOzr1AJGEydO1M0336w///nPuuyyyyRJhmHoiCOOkCRZrVZdc801mjJlSueTwnSGYWhdTUAnJ2aZHaXL5Ce59NnaGrNjAAAAAOgD6FMDu/fJ6ioFwxGNyfGZHQW9RH6SS4cOTNHNb6/Qo6eNlc1qMTsSAAAA9lGnCtySdPLJJ2vKlCl69dVXtWTJEjU0NMjtdmvw4ME6/vjjVVBQEI2ciAFbGlrVGooovZdOUS5JBcluPfnlRoXCEdltnZrgAAAAAAB+FH1qYNf+89Wm9mmlKUIiio4dlqFb312pZ7/epNPH55odBwAAAPuoUwXuSCSiZcuWqaKiQtnZ2RowYIDy8vI0YMAAWSx0QHqbNdUBZXjjFdeLC79pHofsVotWVwU0ON1jdhwAAAAAvRh9amDXVmxu0Hdl9Tp1vxyzo6CXcditOn18ju77ZK2mDkxRktmBAAAAsE/2qcC9YcMG3X///Xr77bfV3Ny80+OJiYmaPn26fv3rXysrq/dOZ93XlFQGlNmLR29LktViUUGyW8u3NFDgBgAAANAl6FMDe/bYZ2u0f75fnvhOTzwI7GRgmkcTCpJ0y9sr9azZYQAAALBPOtxT+Oijj3TFFVcoEAgoPj5eY8aMUUZGhhwOh5qamrRp0yatWrVKzz77rGbNmqW7776b9cJ6ieKKRmX5nGbH6HK5PqeWbm7QCSO5kAQAAAAguuhTA3tW3xLUy99s0pVT+5sdBb3YiSMz9ed3itXQEpLXyY0UAAAAPU2HPsGVlJTosssuUzgc1lVXXaVf/vKXcjp3LnjW1dXpueee0/3336/LLrtMr732mvLy8qIWGuZYWdGkQwemmh2jyxUkuzW3pNrsGAAAAAB6GfrUwI97aeFmFaV6lJ/kMjsKejGXw6bT98tV1T/a5IyzmR0HAAAAHdShxZQfe+wxtba26r777tN55523y464JPl8Pl1wwQV64IEH1NzcrCeeeCIqYWGeUDiiNVUB5fSBEdz5SS6tqmxSMBwxOwoAAACAXoQ+NbBnwXBE//l6o6aPyDQ7CvqA4VleueJsqmhsVThimB0HAAAAHdChAvf8+fM1YcKEvZ4ebeLEiRo/frzmzZu3T+EQO9bWNMtmtSjN4zA7SpdL8zgUb7equLzR7CgAAAAAehH61MCevbuiQnarVePyk8yOgj7C67QrFDH09JcbzY4CAACADuhQgbu8vFxDhgzp0AmGDRumjRv5kNjTraxoVJ7fKavFYnaULme1WNQ/NUELS+vNjgIAAACgF6FPDeyeYRh66suNOnRgiqzW3n/tAbHBYpH8Lrse/HydVlYw0AEAAKCn6FCBu6WlRR6Pp0Mn8Hg8amlp6dBzEHtWljcp29d31r8qSnHrm411ZscAAAAA0IvQpwZ276sNdSqta9HEwmSzo6CPibNZdfigVP1h9nK1hViuDgAAoCfoUIHbMAxZOjiC12rt0CkQo1aUN/aJ9be36Z+aoEWl9TIM1mACAAAAEB30qYHde+rLDZrcP0Xxdto8ut+xwzIUMgzd9+kas6MAAABgL9BrwF5ZVdmkHH/fKXAXJLlU3xLSpjpGSgAAAAAA0JXWVgW0YH2tDh2QYnYU9FE2q0XnTMjTy4vK9GlJldlxAAAA8CPsHX3C8uXL9corr+z1/suWLevoKRBjqgNtqg4ElduHRnA77FYVJLu0cFO9cv19Z2p2AAAAAF2LPjWws2e+2qjxeX75XHFmR0Eflpno1C/G5ejGN1bomTPHKTOx71wHAwAA6Gk6XOB+//339f777+/1/vsyBRtiy8ryJqV7HHLG2cyO0q36Jbv17aY6HTs8w+woAAAAAHoJ+tTAjmoCbXpjabl+d3h/s6MAOqAgSSvLm3T9rGV68JTRstuY/BIAACAWdajAfckll3RVDsSwlZVNfXIUc//UBL29vNzsGAAAAAB6CfrUwM7++02p+qe6++R1B8Smn4/N1h1zVumfn63TJZP7mR0HAAAAu0CBGz9qRXmjshLjzY7R7fqnurWuuln1LUElOpkmDQAAAEDn0KcGdhRoC+vZbzbpvAMLzI4CbOewW3Xugfm6/b1V2i/Pp4mFyWZHAgAAwP+IyXl2Fi1apPPPP1/jx4/XyJEjNWPGjA6tUYboKi5v7JN3Uic645Thjdd3pQ1mRwEAAAAAoNd5eVGZ0j3xGpyeYHYUYAdZW9fj/v2s5dpY22x2HAAAAPyPmCtwr169WmeccYZWrFih8847T1dffbVcLpeuueYaPfroo2bH63OC4YjW1zQr1+80O4opilLa1+EGAAAAAADR0xaK6MkvN+jIwWmsM4+YdGBhkibk+3XlK0sUaAubHQcAAAA/EHMF7ttvv11Wq1XPP/+8LrzwQp1xxhl6+umnNXbsWN17771qamoyO2KfsrY6oDibRSkJDrOjmKIo1a1vNlLgBgAAANCzlJaW6oorrtCBBx6o/fbbTxdffLE2bNjwo8+7++67NXjw4F3+qa+v74bk6CveWLpF8XabRuckmh0F2K2TRmfJabfqj28uV8QwzI4DAACArTq0BndXC4fD+uKLLzR58mRlZGRs3261WjV9+nR98803WrZsmcaPH29iyr5lZUWTcv0uWfvo3dT9UxP0329KFQxHFGeLuftBAAAAAGAntbW1OvPMM9XY2KizzjpLDodDjzzyiE4//XS98sorSk7e/XqyxcXFysvL06WXXrrTYy5X31u6Cl0jHDH0+IINOnJwap+93oCewWa1tK/H/f4qPTJvvc6byHrxAAAAsSCmCtxWq1WvvfbaLqemqq6uliTZbLbujtWnFZc3Kjuxb05PLkkZ3ng57FatKG/UiCzuKgcAAAAQ+x577DFt3LhRL7zwgkaMGCFJmjx5smbMmKGHHnpI11xzzW6fW1xcrNGjR+uEE07orrjog+asrFRLKKIJ+UlmRwF+lCfergsPKtCdc1ZrYFqCDhmQanYkAACAPi+mCtwWi0V5eXk7bQ8EAnrxxRfldrs1bNiwfTx2Z9P1TSvKGzUo3dPp42x7/S0WqSfN6GS1WDQgNUELS+s1MpsCN3Zsy0BPRltGb0FbRm9BW0Y0zZo1S2PGjNle3JakQYMG6cADD9SsWbN2W+BubGxUaWmpTjrppO6Kij7IMAw9Mm+9Dh+UKpuVNz30DDl+l86ckKc/vLFc/zpltIZmeM2OBAAA0KfFVIF7VwzD0A033KCKigpdfPHFio+P7/AxkpISuiBZ31BS3azjx+bK53NH5XiJidE5zt6wWdunFO9s9qHZPi0pb1JqKp0XfC8lhfaA3oG2jN6CtozegraMzqqrq9OGDRs0derUnR4bPny45s6dq/LycqWnp+/0+KpVq2QYhvr37y9Jam5uVnx8vKxWlmtC9Hy+tkblja06uN/up8oHYtG4XJ8qG9t02YuL9ejpY5TjY9kGAAAAs8R0gdswDN10002aPXu2JkyYoIsuumifjlNT06RwOBLldL1fZVObapralGiT6uoCnTqWxdJe3K6vD3TbCO5wpP1n3tnsOR6H3ly8WRUV9bucPh99i8XSfuG5qqqhR81GAPwv2jJ6C9oyegvacuyw2aw9+ibpLVu2SJIyMjJ2emxbUbusrGyXBe7i4mJJ0ieffKLbb79dZWVlcrvdOuGEE3TNNdd0ag1uulKQ2q/zPPT5Oh06MFUO+65vnOipM8Ah9nRFWzpycKrqWoK69IXv9OhpY+V3x0XnwIhZzLKDaKEtIVpoS4iG3tCOYrbAHQwGde2112rWrFkaNWqUHnjgAcXF7fuHRjpFHVdc3qh0b7yccZ1f93zb698Tfw4FyS41toa0oaZFeUncnYt2htEz2zPwv2jL6C1oy+gtaMvorKamJknaZTHa6XRKal8GbFe2Fbi/++47XXLJJfJ4PProo4/0n//8R6tXr9bjjz++T6O5e/INA4iuj4ortL6mWVdOGyKXY8/XGrpzBjj0bntqS/sy+9+vJvfXPz5YqateX6b/nH/gj7Zl9A7MsoNooS0hWmhLiIae3I5issDd3NysSy+9VJ988okmTJigBx54QB5P59eBRsesLG9Srt9pdgzTxdmsKkpx64sNtRS4AQAAAMQ0Y+sdEnuafWp3j02ePFler1fnn3++3O72Ys/RRx+tpKQkPfzww3r33Xd11FFHdTgTs6pBam+bt89eqsMHpaqtuVVtzbvez4wZ4NA77U1b2tfZ/04fm61/fLxGv358ge44YbjsrCffazHLDqKFtoRooS0hGmK5He3trGoxV+AOBoO65JJL9Omnn+rQQw/VPffcs0/rbqPzlpc3KjuRArckDcnw6PM11TppVJbZUQAAAABgt7YVppubd64etrS0SNJubyA/5JBDdMghh+y0/bTTTtPDDz+sefPm7VOBW2JmAkhzS2q0obZFFxxUsMf9evIMcIgtXdmW4mxW/fqgAt39YYn++MZy/Wn6ENkocvdqzLKDaKEtIVpoS4iGntyOOj63WBe799579emnn+qwww7TP/7xD4rbJlpcVq9+KUwJJknDM736Yn2tQpEe+psOAAAAoE/IycmRJFVUVOz0WHl5uaRdr8+9JykpKZJ2P7U58GMMw9A/567VkYNTo7IMGhALEuLtuuyQflpUWq8/v1OsSE+9OgwAANADxdQI7vLycj366KOy2+2aNGmS3njjjZ32mThxotLT001I17dUB9q0ub5VhckUuCUpL8klq8WiJWX1Gp3jMzsOAAAAAOyS1+tVfn6+lixZstNjS5YsUWZmptLS0nb53LPPPltWq1WPPPLIDttLSkokSXl5edEPjD7h05JqldW36KJJhWZHAaIq0Rmnyw4p0t8+LNFt767U9UcO3OMSEQAAAIiOmCpwf/311woGg5Kkm2++eZf7PPTQQxS4u8HisgZlJcbL7eDOakmyWiwaunWacgrcAAAAAGLZ0UcfrX//+99asmSJhg8fLkkqLi7WvHnzdM455+z2eX6/X2+99Za++eYbjR07VpIUiUQ0c+ZM2Ww2HXPMMd2SH73L96O30xRvj7mJBIFO87vidNkh/fS3D0t0x5xVuvqwARS5AQAAulhMFbiPPvporVixwuwYUPv05Ize3tHQTI8+W1ujCyf1MzsKAAAAAOzWueeeq1deeUXnnnuuzj33XFmtVj366KPKyMjQueeeK0mqrKzU3LlzlZ+fv72YfdVVV2nu3Lk6//zzdcYZZyg5OVlvv/22vvjiC11++eUqKioy89tCD/Xx6iqVN7ZqSv8Us6MAXSbZ7dg+kjscNnTNEQNZkxsAAKALcessdmlRab0KWX97B8MyvFpR3qja5qDZUQAAAABgt/x+v5555hmNGzdO999/vx588EGNHTtWTzzxhJKTkyVJq1ev1tVXX63nnntu+/Nyc3P1zDPP6IADDtCTTz6pO++8U4FAQLfffrsuuugis74d9GDhiKEHPl2rIweny8HobfRyqQkO/XZqkeatq9HvZy1TMBwxOxIAAECvFVMjuBEbwhFDSzc3aPpQpoL/IZ8rTrl+lxasq9G0Ibw2AAAAAGJXXl6e7r///t0+fsABB+xyBrWBAwfqvvvu68po6EPeXLZF9S0hTemfbHYUoFskJzh05dT+mvnpGl358hLdccIwueJY/g8AACDauH0WO1lTHVDEkLISnWZHiTlD0j36bE2N2TEAAAAAAIhpraGI7v90rY4bkaE4G5ef0Hd4nXZdfkiRaprb9P+eX6T6FmYCBAAAiDZ6GNjJ4tL29bdZK2hnwzK9mreuWoZhmB0FAAAAAICY9dzXm+R22DQ+3292FKDbueJsunhSP9mtFp399DdaX9NsdiQAAIBehQI3dvJdWYMKk11mx4hJ/VPdamwNa3VlwOwoAAAAAADEpLrmoB6dv14zRmbKauHmefRNDrtVF0ws0NBMr856+mt9sZ4ZAQEAAKKFAjd28l1pnfqluM2OEZPibFYNTvfo87XVZkcBAAAAACAmPTJ/vQqT3Rqa4TU7CmAqq9Wik0Zl6aRRWbri5SV6aWGp2ZEAAAB6BQrc2EFja0hrq5vVL5kC9+4MzfDoszUUuAEAAAAA+F9l9S164dsyzRiVaXYUIGYc1C9Zl0zup5mfrNWt7xarNRQxOxIAAECPRoEbO1i6uUEpCQ75XHFmR4lZwzK9Wlhar5Zg2OwoAAAAAADElPs/Xav98nzK9bP0GfBDA9MSdM0RA/Ttxnqdw7rcAAAAnUKBGztYspn1t39MuschvytOX22sMzsKAAAAAAAx47vSen2wslLHDc8wOwoQk1ITHPrtoUXKT3bpl09+pXeWl5sdCQAAoEeiwI0dLNxUr0KmJ98ji8Wi4ZlefVBcaXYUAAAAAABiQjhi6Pb3V2ra4DQlJzjMjgPELLvNqpPHZOvsCXm69d2V+vPbxWpsDZkdCwAAoEehwI3tDMPQ4rJ6FaVQ4P4x4/P9mrOyUsEwayYBAAAAAPDa4s2qDgQ1bUia2VGAHmF0jk+/P3KgVlY06pTHvtT8tTVmRwIAAOgxKHBju011LWpqCysviSnKf0xRilvxdqvmr6PzAQAAAADo2+qag5r5yRr9bHSW4mxcagL2VnKCQ7+Z0k9HDE7T715bolsYzQ0AALBX6HVguyVlDcpPctEZ3QtWi0Xjcn16exlrJQEAAAAA+rZ/zl2rgiSXRmUnmh0F6HEsFoum9E/RDdMGaWVFo05+9Eu9s7xchmGYHQ0AACBmUcnEdovK6lWQzOjtvTU+36+PVlepJRg2OwoAAAAAAKZYUd6o1xZv0c/GZMtisZgdB+ixUhIcunRKP/1keIbunLNaFzy3UCsrGs2OBQAAEJMocGO7hZvq1C+Z9bf3Vp7fKb8rTnPXVJsdBQAAAACAbmcYhu54f5UOG5SiDG+82XGAHs9isejAwiTddPQgpXvjdfbT3+j291aqOtBmdjQAAICYQoEbkqTa5qBWVjRpcLrH7Cg9hmXrNOVvMU05AAAAAKAPeuW7zdpU26yjh6SbHQXoVZxxNp00KkvXHzlQKyubdMJDCzTzkzWqaw6aHQ0AACAmUOCGJOmL9bXK9bnkc8WZHaVH2T/fr7lrqtXYGjI7CgAAAAAA3aa8oVV//6hEp+6XI2eczew4QK+UmejURQcX6rJDivTl+lod/+8FeuiztWpo4ToUAADo2yhwQ5L0+ZpqDc5IMDtGj5OZ6FR2olMfraoyOwoAAAAAAN3CMAzd9t5KjcpK1IisRLPjAL1evxS3Lp3STxceVKCPVlfp2Afn6a4PVqm0rsXsaAAAAKagwA0ZhqF5a2s0LNNrdpQeaVwe05QDAAAAAPqOd5ZXaFFpvX42JsvsKECfMijdoyum9tdvphRpVUWTfvrIF7ru9aVauKlOhmGYHQ8AAKDb2M0OAPOtqQ6oriWkAamM4N4X4/P8+uPiFaoNBOV3M8U7AAAAAKD3qgm06c45q3TK2Gx54rmsBJihX4pb500sUGVjm+asrNRlLy1WaoJDJ47K0jHD0pXkdpgdEQAAoEvRE4Hmra3R4PQExdkY0L8vUhIcKkx26/2VFfrp6Gyz4wAAAAAA0GXunLNaRSlujcv1mR0F6PNSPQ79fGy2ZozM1Deb6vTmsi2a+ckaHdwvWdOGpGly/xS54mxmxwQAAIg6CtzQZ2uqNSTDY3aMHm1Cvl8vLSzTSaOyZLFYzI4DAAAAAEDUfbCyUp+tqdaNRw2i7wvEEIfdqgMKknRAQZK2NLRqwboa3ffJGt38VrEOLkrWEYPTdGBBkrxOLgUDAIDegU81fVxrKKJvN9brqCHpZkfp0Q4oTNKrizfrm011GpfrNzsOAAAAAABRtaWhVX9+u1injsuRz8XyXECsyvDG67gRmfrJ8AyV1rfqq/W1uv+TNbph9jKNyErU5KJkTeyXrIFpCbJyowoAAOihKHD3cd9uqlNCvE1ZifFmR+nR4u1WTSpK1tNfbqTADQAAAADoVcIRQ394Y7lGZXs1Pt9vdhwAe8FisSjH51TOyEwdPzJT1U1tWry5QXPXVOvheetlt1k0Jsen8Xl+jc31aVBaguwsXwgAAHoICtx93Lw11RqW4WVqsSiYOiBFf3hjhTbUNCsvyWV2HAAAAAAAouLxBetVVteia48YYHYUAPsoOcGhKf1TNKV/isIRQ+trmrWyolFzVlbqwc/WKRiJaEBqgoZnejU8y6uBaR4VJrsVb6foDQAAYg8F7j7us7U1OmxQqtkxeoUkt0P75fn07Neb9LvD6fQDAAAAAHq+xWX1emT+Bl05tUjOOJvZcQBEgc1qUb8Ut/qluDVNUsQwVNHYprXVAa2rbtZ/vtqkjbUtagmFleNzqiglQUWpbuX5Xcrzu5Sb5FKKO44BMwAAwDQUuPuwysZWra0OaGi6x+wovcZhA1P1tw9LdOHBhfI6+fUCAAAAAPRcja0hXT9rmY4dlqGCZLfZcQB0EavFogxvvDK88TqgIEmSZBiGapuDKq1r1aa6Zq2saNLna2tU3tCq6kBQ8Xar0j0OZXjjlZXoVIY3Xqkeh1ITHErZ+ifJFceNMQAAoEtQgevD5q2rUWGyWwnxNINoKUh2Kz/JpVe+K9MZ++eZHQcAAAAAgH1iGIZufmuFktwOHTGYmd+AvsZisSjJ7VCS26HhWd4dHmsLRVTZ1Kaa5qBqAm2qDgS1bEuD6teFVN8SUm1zUPUtIRmS4u1W+Zx2+Vxx8jntSnTGKXHr1954uzzxtq1/t/9JcNiU4LDJE2+X22GTlVHiAABgF6hs9mGfr6nRkAxGb0fboQNT9Z+vN+nU/XJlt/IhHAAAAADQ8zw8b70WlzXomiMGUGACsAOH3apsn1PZPudu94lEDAWCYTW0htTYGlZja0iBtrCa2sIKBMOqrmpSSzCilmBYgWBEzcHwD/5EJEkWSa5tBW+HTQnxdnnj7fI67Urc9ve2gvnWf/tdcUpyxcnrtMvGdTkAAHotCtx9VChiaP66Gp0/scDsKL3O6OxEvbyoTHOKKzRtSLrZcQAAAAAA6JCPV1fp8QUbdNVh/eVh1jcA+8BqtWwfld1RkYih1lBkh4J3cyis5rat/w6GVd8S0paGVjUHIwoEQ2pqC6uptX17Wzgiq0XyxtuV5I5TaoJDqR6H0hLilbZ1KvaMrdOrJyc4uIkHgOkCbWFtrG1WRWObKhpbVdHUpsrG1vabgrbeGBRoC8uQZLNYFO+wKRyKyOWwbb3Bp/0mn2S3Q1mJ8cryOZWVGK8EB5/j0HvRuvuoBetqZLVYVJTCGlrRZrVaNHVAqh6dv0FHDE7jQzIAAAAAoMdYWxXQH95Yrl/un6tcv8vsOAD6IKvVIpfDJpdj39bvbgtFto4cb58yva6lfcr09bXNWlxWr9rmkKoDbaprCclubV9/PNvnVK7fqTy/S/lJLuUnuZXrd8pht0b5uwPQlwXDEa2ubNLSLY0qLm/U2uqA1lU3q7KpTe44m5LdcfK54rYWrO1yxdnkd8Up3m6Vw26VRZJhSE6XQ02BVrUGIwoEw6ptDqqsrlUNrSFVBdpU2dimllBEPqddRakJGpSWoAGpCRqY7tGgtATF2XhvQ89HgbuPmrV4s/bP98vKVD1dYlJRsj5YWalZi7fo+JGZZscBAAAAAOBHNbaGdOUrSzSlf7LG5/nNjgMA+8RhtyrF7lBKgmOP+wXDEdUEgqpsalNlU5uqmto0d021XvmuTZvrWxWKRJTpjdeQbJ8KfPEqSklQUYpb/VLcFIcA7JXaQFBfb6rTVxtqtWhTvVZVNslhs6og2aUcn1NDMzw6dECqMrzx8sTbZNnLwXI+n1t1dYHdPm4YhgJtYZU3tmlTXbNK61q0qLRe62uaFQxHNCTDqzE5iRqV7dO4XJ+8TkqF6HlotX1QY2tIH62u0rVHDDQ7Sq/lsFt14ugs/eOTNTpsUCpTugEAAAAAYlowHNG1ry+Vz2XX8cO5URtA7xdnsyrdG690b/xOj0UMQ7WBoDY3tKqmLaJV5Q36ZHWVNtW1KBg2VJjs1uB0j4ZkeDQ0w6PB6R454/ZtxDmA3qMlGNZXG+v02ZpqfbGuVmurA8rxOdU/LUEH9UvSqfvlKM3T9UsjWCwWJcTb1S/ern4/mMU3Yhgqb2hVSVVAJVUBvbuiQlsaWjU0w6uJhUk6sDBJw7MSZWdgJHoAqm590HsrKpTtcyrb5zQ7Sq82NidRH6+q0r8/X6fLp/Y3Ow4AAAAAALsUMQzd9NYKbW5o1eWHFDHbG4A+z2qxKDnBoeQEx9aRkj5J7e+XVU1t2lDbog01zXp3RYX+/fk6NbSG1C/ZrRFZiRqZ7dWobJ8Kkl0sXQj0AZvrW/Tx6ip9srpaX2+sVaIzTsMzvTpySJoGpibE1Ohoq8WizESnMhOdOqhfsiSpJtCmZVsatai0Xs99UyqpfYbaQwem6sDCJLm4eQcxKnZ+s9BtXl+yRRPyk8yO0etZLBb9bEyW7nh/lU4claWCZNY7BwAAAADEFsMw9LcPV+vbjfW66rAiLmICwB5YLRaleeKV5onXuNz2ordhGKoJBLW2pllrqgJ6/tsy3fH+KsXbbRqR5dXY3PYpgIdlepnaHOgl1lYF9MGqSr1fXKFVFQENSk/Q8Eyvjho6UJne+L2eajwWJLkdOqhfsg7ql6xIxNCa6oC+3VSvuz9YrepAmw4sTNbRQ9M1uSiZmSoQUyhw9zEba5u1dHODzhifa3aUPiHX79JB/ZJ19werdc9PR5odBwAAAACAHTy+YIPeWlau3x7aX4nOOLPjAECPY/nBaO9tRe9QOKINtS0qqWrSvLU1eurLjWoNRTQs06v98/wan+/XiCwK3kBPsrG2fdaGt5aVa0Nts4ZnenVAQZLOn1jQa5YotVot6p+aoP6pCTppVKY2N7Tq6w11mvlxiW5+a4Um90/R9KHpmliYJDvvXzBZ7/itw157Y+kWjcjyxtS0GL3dT4Zn6I9vrtDcNdU6eOu0HwAAAAAAmO3V78r06PwNuvLQIqV5dl6DFgCwb+w2q/qluNUvxa3DB7WP8t7c0KqVFU36dlOdnvtmk1pCEY3OTtQBBUmaUODXoHQPU5oDMaaqqU3vrKjQG0u2aFVlk4ZnenXIgBSNzk7s9aOZLRaLshKdOna4U8cMS9emuhZ9sb5W//dOscKGdPTQNP1keKYGp3vMjoo+iipnH2IYhmYt2aLjR2SaHaVP8cTb9ZPhGbprziqNO3M/pnsDAAAAAJjulUVluuuD1fp/kwqV63eZHQcAerVthaKsRKem9E+RYRgqq2/VivJGfVJSpX/PWy+HzaL98/06sDBJBxYmK8PLjUeAGVqCYX20qkqzlmzRlxtq1T/Vrf3z/Tp/Yr4SeslI7Y6yWCzK9buU63fphJGZKi5v0vx1NTr3P98q1+/USaOydPTQdGYDQrfqm7+NfdS3m+rV0BrSiCyv2VH6nCn9U/TNxjrd+s5K3XzM4B61BgcAAAAAoHf57zebNPOTtbp4cj8NTEswOw4A9DkWi0XZPqeyfU4dOjBV4YihtdUBLd3coGe/LtWt765UflL70ocHFSZrTK5P8XamAwa6imEY+nZTvV5fslnvrahQktuhCfl+3Tx9sJITHGbHiylWi0VDMjwakuHRKWOz9dWGOr28aLPu+ahEUwek6sRRWdovz0cNBF2OAncfMmvJFo3P87O2iwlsVovOPTBft723Ui8tKtNPR2ebHQkAAAAA0Ac9+cUGPTxvvS6dUqiiFIrbABALbD9Y9/Y4SYG2sJaXN2rp5ga9tWy5mtrC2i/Xp4OLUnRQvyRm3gCiZHN9i2Yt2aLXF29WfWtI4/P8uvyQIuUnuSjQ7gVnnE0HFyXr4KJklda16LM11br6taXyuez62ehsHTs8Q34Xo7rRNShw9xEtwbDeK67QpZP7mR2lz/K54nTugfn624clGpLu0fCsRLMjAQAAAAD6CMMw9PC89Xr6q4267JB+yk9ymx0JALAbbodN43J9Gpfrk2EYKq1v1ZKyes1asll/+3C1shLjNakoRQcXJWtsjk8ORncDe60lGNaHq6r06ndl+nZTvYZnevWTEZkameVlcGAnZPuc+tmYbJ0wMlPfbqrTm8u26L5P1+iwgak6eUy2RmUnctMAoooCdx/x0qIypSY4VJjM3X1mGpjm0U+GZ+jq15bq6TP2k9/N3UsAAAAAgK4VDEd023sr9cnqal1xSJFyGPkHAD2GxWJRjs+pHJ9T04akqzkY1oryRi0pa9CNbyxXoC2s/fP9mtQ/RQcVJikz0Wl2ZCDmGIahxWUNen3xZr2zokI+p10HFCbp5DHZ8jHCOKribFbtn5+k/fOTVFbfok9WV+uylxYrwxuvk8dk6+ih6fL00bXMEV20oj6gqS2kR+at1y/H53KHTAw4YlCq1lQF9PvZy3TPT0fKbuVnAgAAAADoGrXNQf3u1SWqCQR1zeH9leRmHUkA6MlccTaNyfFpTE776O5NdS1aXNagF78t1e3vrVRhsluTipJ1UL9kjc5OlJ0RqejDyhta9eaycr22eLMqG9s0Pt+viycXql+ym1pJN8hKdOrnY7M1Y2Smvlhfq/9+U6p7Py7R0UPS9bMx2RqU7jE7InowCtx9wH++2qQ0T7xGZHnNjgK133V5xv65+uuc1bph1jLdcuwQPmgCAAAAAKJubXVAl7+0WOkeh648tL/imcIWAHoVi8WiXL9LuX6Xjh6arqa2kJZtaR/d/ep3mxWMGJqQ79ekomRNLExWujfe7MhAl9s2Bflrizfrm411Gpzu0ZGDUzU6m+n8zeKwW7ev1b2uOqCPV1frnGe+1cC0BP18bLYOH5TG51R0GAXuXq6uOagnv9yoCw8q4I6kGOKKs+nyQ4p07ydr9LvXlur244bxnysAAAAAIGo+XFmpP729QpOKknX8iExZuSYAAL1egsOu8Xl+jc/zK2IY2lDTrCWbG/Ts16W69d320d0H9UvWxMIkjWHtbvQi4YihrzfWavbScs0prlCS26ED8v06aVSWklgmNKYUJLt1RrJbJ43O1Ly1tfrn3LW664PV+snwDJ04KkuFyW6zI6KHoMDdyz3xxQb1S3Yz1UMM8jrtuvyQfrrvk7W64uXFumvGcDnjbGbHAgAAAAD0YC3BsP7+UYneXFqu0/bL0fh8v9mRAAAmsFosKkh2qyDZrWOGZaipLaTlWxq1dHOjZi/ZokAwrLE5Pk3sl6QDCpJUlMKUzehZDMNQcUWT3lpWrreWlastHNH4PJ8uO6RIBUku2nOMS3DYdfigVB02MEXFFU2aW1KtUx//SqOyE/XT0VmaOiCVm3CwRxS4e7HKxlY9902prphaZHYU7EaCw65Lp/TT/Z+u1W9eWqy7ZwyXJ55fSwAAAABAx62ubNJ1s5bJKun6Iwcq1cN62wCAdgkOu/bL82u/PL8Mw1BZfauWbm7QeysqdN8na+WJt2lCQZIOLEjS/vl+pjNHzFpbFdDby8v19vJylTe2aUxOon4xLltDM7yyWSlq9zQWi0WD0z0anO7Rz1pC+nxtte79eI1uf3+Vjh3WPqq7XwqjurEzKmm92MPz12tYppcpHWKcK86mSyb3078/X6fTnvhKtxw7VKOyE82OBQAAAADoIUIRQ89+vVH/mrtOhw5M1U+GZ3CBFwCwWxaLRdk+p7J9Th0xOE3BcEQlVQEt29KoJ7/coJvfXqEcn1Pj89unOx+X51dqAjdNwRyGYWh1VUBziiv0fnGlNtQ2a2RWoo4emq6RWYmM8u1FEp12HTUkXdMGp6m4okmfranW6U9+pcHpHp0wIlNHDE5jgCC2oyX0Uhtrm/Xad5t17REDzY6CvRBvt+qiSYV6v7hS/+/5RTpr/1ydc2CB7FyQAAAAAADswZKyet3yzkoF2kK6eHKhBqaxRBkAoGPibNbtIyglKdAW1sqKRhVXNOnBz9Zpfc1y5SW5NDbHp3F5Po3N9Skr0WlyavRm4YihJZsb9PGqSr2/slLlDW0akeXV1AEpGpmdKBdLffZqPxzV/fMxIS1YX6unv9qov85ZrUMHpur4kRnaL88vK9PQ92kUuHuhtlBE189apomFycr28UGjp7BaLDpycJqGpHv0yPz1+nxtjW6aPkT5SS6zowEAAAAAYkxja0j3fbpGry/eoqOGpOnIwWmKszGCCQDQeW6HTaNzfBqd45MkNbWGtLKySasqmvT4gg3601srlJLg0OjsRI3O8WlUdqIGpSXIzv9D6ITG1vZC5serq/Tp6iqFDUMjsxJ1zLAMDc/0Kp6R2n1SQrxdhw5M1aEDU7Wxtlmfr63Rta8vk8Nm1dFD0zV9aLoGpiWw5nofRIG7F7rrg9VqDob1szFZZkfBPshLcum6IwbqpUVlOvXxL/WT4Zk6f2K+Uj2sewMAAAAAfV1LMKwXFpbpkXnrled36vojByqDdVIBAF0oId6uMTk+jdla8G4JhrWmOqCSyoDeWV6uf85dq1DE0KC0BI3IStSILK+GZXqV43NSdMJuhSOGiisaNW9tjT4tqdaSsgZleB0anuXVeRPzVZSSwJIr2EGu36WTx7h00qgsLdvSoC/W1+r5b0uVnejU0UPTdfigVBWwZG+fQYG7l3lj6Ra9s6Jc1x0xkDu3ezCH3apfjMvRIQNS9PriLZrx8Bc6dVyOztw/T14nv7YAAAAA0NeEIoZmLd6sBz9bJ3e8TecckKehGR4KBwCAbueMs2lohldDM7ySpIhhaHN9q9ZWB7Suulnz1tZoQ22znHHtU5+37+vRoHSP8vwuipZ9VMQwVFIZ0JcbarVgXY2+2VinsCENzfBoZJZXp4zNVgprvWMv2KyWrTfTJKolGNbC0np9vrZaD32+ToXJbk0bkqZDB6aqkGJ3r0alrBdZWdGo295dqfMPKuA/gl4iK9GpCw4q0JqqgF5dvFnPfr1J04ak66ejszQs02t2PAAAAABAF2tqC+n1xVv0zFcbZRjSCaMyNS7Xx5qDAICYYbVYlO1zKtvn1EH92rcFwxGV1rVofU2z1lUHNLekShvrWmS1WFSY7NKgdI8GpnlUlOJWUYpbqQkObtrqZZqDYS3d3KBFpfX6emOdFpfWKxgxNDAtQQNTE3TJlH7c8IBOc8bZdEBBkg4oSFJzW1iLyuo1d017sTsr0ampA1I0dUCqhmd5+fzcy1Dg7iUaWkK66tWlOnJwmoZT+Ox1+qW4dfkhRVpf06xPS6r16+cWKj/JpRNHZWnqwFSlckMDAAAAAPQqm+tb9N9vSvXSojKle+N17LAMjc31cREYANAjxNmsKkh27zBdcDhiqLyxVZtqW7SxrkVziiv0dH2ryhtaleCwqSDZrcJktwqTXSpIdis/yaUcn1POOJuJ3wn2RnMwrFUVTVpe3qglmxu0tKxB62oC8jnjVJTafhPD1AEpFLTRpVyO74vdLcGwlm5p1KJN9XpxYZnibFYdWJikSf2SdUBhkvyuOLPjopMocPcC5Q2t+u0rS5Sa4ND0Yelmx0EXyk9y6bT9cnTSqEwtWF+rlxaV6c45qzQ0w6tDB6ZqSv8UFSa7uNsRAAAAAHqglmBYH62q0muLN+vrjXUamZ2oiw4uVP9UN/08AECPZ7NalJXoVFaiU+N/sL0tFNHmhhaV1bdqS0Or5q+r0awlW7S5oVWtoYhSExzK8TnbC97+9udnJzqV5XMqNcFBwbQbtYYiWl8T0NrqZq2tCqi4olErK5pUWtcir9OuPL9LeUkuHTU0TQVJbvlddj7DwBTOOJvG5fo0LtencMRQSVWTFpc16MHP1+nGN5drcLpHBxQkaf98v0ZlJ3IjTQ9EgbuH+660Xle9ukRDM7z6xbhspljoI5xxNk3pn6Ip/VNU3xLUd6UN+mR1lf712Vp54+0am+vT+Dy/xub61C/FTbsAAAAAgBjVForoiw21mlNcqfeKK+R32nVAQZJOHJWlJDcjSwAAvZ/DblV+klv5STuul2sYhupbQqpobFN5Y6sqG9v07cZ6fdBcqcqmNlU3BWWxSCkJDqV74pXhbf+T5nEo1eNQWkK8UhIcSnbHKdFJoXVvGIahmuagtjS0qqy+VZtqm7Wxtlnra1q0qa5ZWxpaFW+3KivRqXRPvLJ98TppdJZyfU5eY8Qsm9WigWntyyKcKKm2OahlWxq0orxRry3erIbWkEZkejUuz6/ROYkamZUoTzzl01gXkz+h0tJS3Xnnnfr8888VDAZ14IEH6tprr1VeXp7Z0WLKrCWb9Zf3VumEEZk6dGAK/3n0UYnOOB1clKyDi5IVDEe0piqglRVNen3xZv3twxLZrNKA1AQNzfRqWIZX/VPbpwZycUcSAAAA0Gvta7+6paVFM2fO1OzZs1VdXa0hQ4bo8ssv18SJE7sped9Q1dSm+etq9OGqSs1bW6MEh10js726dHI/ZuUCAGAri8UinytOPlecBqQl7PR4KBxRbUtINYGgapvbVB0IanNDi1ZWNKmuJai65qBqm0NqC0dks1jkd9uV5HLI74pTkjtOSa44+V3txW+v0y6fM05ep13eeLs88TZ54u1y2q09/v/liGEo0BZWbXP7a1LTHFRtc1A1gaAqGttU0diqyqa27f9uCxvyxtuVkhCnlASHUhMcGpyeoElFycrwxjMqGz2e3xWniYXJmliYLMMwVN7YphXljVpS1qDXF29WZVOb+qW4NTIrUcMzvRqW6VVRaoLszBYRU2KuwF1bW6szzzxTjY2NOuuss+RwOPTII4/o9NNP1yuvvKLk5GSzI5puS0OrHvxsnd4vrtCFBxdoaAZrbqNdnM2qQekeDUr3SGpf12ZzfYvW1zZrfU2znt5Yp9K6FjW1hZXucagw2a2CZJdyfC5l+ZzKSXQqMzGeu+0AAACAHqwz/erf/va3+uCDD3TaaaepqKhIL7zwgs477zw9/vjjGj9+/G6fhz2rbGzVotJ6fbG+Vl+sr9WG2mblJ7k0PNOrK6f2V67fSR8MAIAOstusSt1agJV2LoBL7SOSW0MRNbSGVN8SUkNrSI2tITW1hlXT3KYNtc1qDobVHAyrqa39T6AtrNZQRJJktUjuOJtcDptccTa5t/7tslvljGv/tzPOqni7VU67VQ67VQ6bVXE2q+JsFsVZrbLbLLJZLUryNSrQ1CKLLLJa1D7rpqX9HIYhGZJkSIYMRYz2a7sRw1A4YigUMRQMRxQMG2rb+ndrqD1nSzCi5lB77qa2sJq3/t3YGlJjW0iBtrAiRvt5vPHtxXxPfHsh3xtvl89pV67fpUSnXcnuOCW7HXLYrd32cwTMZLFYts/+MKV/iqT2Ed6rK5u0trpZLy4q010frJYhqV+KW4PT2usvg9ISVJTqVqKTGZfMEnMF7scee0wbN27UCy+8oBEjRkiSJk+erBkzZuihhx7SNddcY3JC82yub6nmTpIAACkZSURBVNGj8zdo1pLNGpWdqGuPGKA0T7zZsRDDbFaLcvwu5fhdmljYvm3b1D6bG1q1ub5VFY2tWl0ZUFVTmyqb2tTUFlbc/2/vzuOrKO89jn/Plj2EPQgNyCJB1iARZCv7ZkGgllBEdqgiiFKtoPW2FLRKsUBBy1UUZLkuLF6EGOAi0AghoKAiUtoAFUSDAUxYspGzzP3j5JwkJIGQnJAEP+/XKyTMzDPnmZMnz5nfPL95xmJSrSDPVD5+7ozGIHd2Y1hg3slPsL9VIX4WBftZFWgzy2rhxAcAAACoaKWNqxMTE/Xxxx/r2Wef1fjx4yVJw4YN0wMPPKA///nP+uCDD27VIVRZhmEo5cpVnfwxU0nn0vX12Sv65w9X9GNGjhpUD9BddYI18O66al4nWMFMewgAQLkzmUwKsFkUYLPc1LV0p8tQtt2pLLtL2Q6nsh2u3MFk96Cye4DZJbvTpfSrDqVlGnK43MvtTpd3gNqR+2UYhkxms3IcTrlchgy5zxu8A9uSvKluuYPfZu93kyxmyWo2y2I2yWp2D5j7WUyyms3ys5pks5gVFmBV3RB/74B7oM2ioNxB+SCbRf42M4+yBEqgeqBNHSKqq0NEdUmSy2XohytX9f2lLH13MVvbjqXozcRspWXZVSPQpkY1A9W0drAa1QxSRPUA/SwsUPXDAkgUKWeVLpqKjY1VVFSUNwiXpObNm+u+++5TbGzsT26AOyPHoc9OX9TuExe049/nFdUgTLP73qX6YQEVXTVUUfmn9onMvdM7v2y7U5eyHd4pay5lO5Rx1aHz6em5WYzurL9Mu1OZOS5l2Z3eslazSQE2swKsFvlZTN6MRT+rWVaz+0TLZjbJajF7T8QsJslsNnlP1sy5WYueuxdMuV8q5bmXSSaZck8GTflODk2mvNe35L6+NV/d3PV1Z1naLO7lNotJfhazaqfblZmeLYvJfUyebd3l3CeanpNNz2vlP6ZrGYb7pNZluD8sXYYhp2HI5XKfCDuNvGxNZ+6Jr9Pl/u6SUSDDM+/3nPuVmxFqtZhkMeWdAOfV211f3H4Mw5Pd6w6wXIZ7mee72WySKeCqLmXZve2f9gAAwO2htHH1li1bZLPZFBMT410WFBSkX/3qV1q0aJFOnTqlO++8s7yrX+m5DEMXs+z6/mK2vr+Ure8uZunMxSx982OmTqVm6qrDpfBQfzUIC1DDGoEae+/P1LBGoAJ4TBQAAFWGxWxSsL9VwT68vywsLEiXLmX6bocAbgmz2aT6YQGqHxagexvmLc/IcSjlsvt59WcvZ2tX0nnvVP92p6HaIX4KD/VX/WoBuiMsQOGh/qob4qfaIf6qE+ynmsF+THteBpVqgPvSpUs6c+aMevbsWWhdq1atlJCQoHPnzqlu3bq3vnK3gNNl6OzlbJ1OzdLx8+nadypNR5Ivq06In1rWC9WzDGzjFvBkNIaHluzszeVyT4tz1ZH3Zc+XregZXHO6JIfLJYfLyJ1ex31hyOXK/W4YcniyFnMHfCUVyGLM70bdvpH7r5Fb2GV49mfIpbwMSZeRf8of5Q4s5w0me+rrybh0ugw5JeXYnd4MTM+6GzHJPejsrWMxx3Y95msG6d37zJcMkG9Ko7yB89zBcqPoVzOb3NPb++UbxPezujM9vV8W97RL/lZzbhaoxbvc3zP9Uu7/3YkNJu8+Pf+35iY4eKZosnoTAfISHq6XCFAVeAaQPQkJnp/ztxNPNq8j928jx2kox+FSjtPl/X5tVnB27s+Zdqd72im705tF7F7v3s5T3v13d7Otyy1/e3AnrORNueXJ+A32tyjEz6pgP/cyz2wOQZ7/26zuKbv8LAq0uTOGyRAGcK38fWX+/tPDk6jlSVDzJKZV5c8JyX2sTm+yWt5ntST5Z9uVkeOQjHzHnS8ZECiJssTVX3/9tRo3bqygoKBC5Tzrb9cB7iy7U5ey7N7pSy9nO5SWZVdaZo5SM+z6MSNHKelXdSHdPfOVw2W475IK9VetID/VCrap85019GC7OxQe6i8bs1sBAAAAt7VgP6ua1LaqSe2Cj0hwGYYuZTl0ISNHqZk5Ssu065sfM/TFmYt5NxdmO2SSVC3AquqBNtXIfTxAjSCbwgKsqhZgU7UA90y6If5WhfhbFOLvvh4bmHudvqpfHymrSjXAnZKSIkkKDw8vtM4TfJ89e/amB7gtlTywvJht1++3HNOlbIckd3ZY7WA/tftZmB6Mqq/qgXlz+DtKN15R4UwmKSvHKaekYsbYfO/uuyVV3fesyjCZZLVaZLVainnSze3FZJICA/2VlXW1QFv2DCi7cgfAjdyL9pJy77R2Lytij+4L2Mq7Uz3/ALZZud/NptLexF64jobkNFzuQQWX8g2+uuRwyfuzZ5DU4XTJYbgHZO25/892upRud8rpNOQwXHI43ft0eMu4ExacpRxk/SnyzBxgteQN+ntnBshNCgj0s6paoOcZTibZrLmzIuQ+z8lb3mSWxVJwhgKzJHmTItyvGRDop4yMq3Ipb8aA/O3B7nIPvnsSVtyD8O6kliyHS5euOtzL8iW52J0lS/bws5hls+bNfOA5Vu8gVu77YTJJlty/AbNMMpuVb2aEvOPJ//fi/ZvKv51JMhczo4M3YSTf1F/m3B1bcvfjKeOZkcGzL3n+XpX3N2ySvANRptyFuY/Vyj1+U4FkF897kq9Aif7eb/U57I0+v72rDaPg/6/Zh6G89Ubu9BOefXvWexN1lJuglG/2gWuTlAxJ/t9eUmZWTsGZCuTuk/P6YHkHEr3JVJ7Xy1eX68v7XZpyf9kF2l3uL6WoduWZUcNkdrfVgjN85BvILa5tuV/+uu2owHuY73BcRb6PeTOCOHNnEHEaeUldTkNyevp/V97nQf4EHXcim9zf839uuFzez4xb/TlgkmSxmGQ1mbyzl+SfqcVslneZu9/w/F7yv7d575vhyms37gH5fIl5TslhuLzvnfezz2ncdAJbWeXN0FKwX/U87y9vVpq8z4v8P1tNJlksZllN7vfP+37lnxYxNxHNkjtNjMXTPk35+7zr93ee30/L8BBZzJU3Rqvs8eONlCWuTklJUdu2bYstl5ycXKo6Vfb39IvvLumvu08WWOZvNSvYz+K9gFSveqDuqheqUH+LqvnbFOpvue4jmohDS69Crh/gtlSitsS1I9wAfRJ8hbYEX6EtVQUmhQbaFBpoU+NiRk1chqH0HKcycxzKyHEqM8epjKtOZTucOpdh17eXspWZk/d4hOu/mrw3mflbLbnXBjw3n+VdJ7BaTAoNsOpX7e5QWO64o9VqrnTtqKTxY6Ua4M7IyJAkBQYGFloXEOC+czkz8+an8KhWrfD+KpMakt75TeeKrsbtJ/ZDSdLgCq4GAAAAANwqZYmrMzIyrlsuKyurVHWq7DF57xrB6t2mfkVXA0BF4NoRAAD4Cateveretlip0qg9dzde77b6n/ot9wAAAAAAFKc842ricQAAAABAZVCpBrg9z/kqKis8OztbkhQSEnJL6wQAAAAAQFVRlrg6KCjIu83NlAMAAAAA4FaqVAPcDRo0kCSdP3++0Lpz585JKvo5YgAAAAAAoGxxdf369YnHAQAAAACVXqUa4A4NDVXDhg119OjRQuuOHj2qevXqqU6dOhVQMwAAAAAAKr+yxNWtWrXSiRMnCt3F7dlXmzZtfF9hAAAAAABuUqUa4JakgQMH6tChQwWC8aSkJO3fv1+DBw+uwJoBAAAAAFD5lTauHjhwoHJycvTee+95l2VmZmrDhg1q27atGjZsWK71BgAAAACgJEyGYRgVXYn8Ll68qCFDhshut2vSpEkym81auXKlbDabNm7cqJo1a1Z0FQEAAAAAqLRKEldfuHBBCQkJatiwodq3b+8tO3nyZCUmJurhhx9W48aNtW7dOiUlJentt99WdHR0BR4VAAAAAABulW6AW5LOnDmjl156SYmJifLz81PHjh31zDPPKCIioqKrBgAAAABApXejuPrAgQMaO3ashg8frpdfftlbLiMjQ4sWLVJcXJyysrIUGRmpmTNnqlOnThV1KAAAAAAAFFApB7gBAAAAAAAAAAAAALhWpXsGNwAAAAAAAAAAAAAARWGAGwAAAAAAAAAAAABQJTDADQAAAAAAAAAAAACoEhjgRpklJydr5syZuu+++9ShQwdNmzZNZ86cuWG57OxsvfLKK+rVq5fatWunkSNHKjEx8RbUGChaadvywoULFRkZWeTX5cuXb0HNgaK98cYb6tq1a4m3dzqdWr58ufr376+2bdvqgQceUFxcXDnWECiZm23L77//frH98rFjx8qxpkDRvvrqK02ZMkXR0dFq06aNhg0bpk2bNt2wHP0ygNsN1w/gK8Tv8DXiZ/gCsSvKgrgRvlLatlTV+iRrRVcAVdvFixc1duxYpaena9y4cfLz89OKFSs0evRobdq0STVr1iy27FNPPaXdu3froYceUpMmTbRhwwZNnjxZq1atUnR09C08CqBsbTkpKUkRERF6/PHHC60LDAwsz2oDxYqPj9eSJUsUFhZW4jLz58/XqlWrNHz4cEVFRWnbtm2aOXOmXC6XBg8eXI61BYpXmraclJSk4OBg/fGPfyy0rn79+r6sHnBDJ0+e1JgxYxQWFqbJkycrODhYcXFxmjVrltLS0jRhwoRiy9IvA7idcP0AvkL8Dl8jfoYvELuiLIgb4StlaUtVrk8ygDJYtGiRERkZaRw5csS77N///rdx9913Gy+//HKx5fbt22c0b97cWLlypXdZRkaG0adPH2P48OHlWWWgSKVty4ZhGL169TKefPLJ8q4iUCIul8tYs2aN0apVK6N58+ZGly5dSlTum2++MVq0aGHMmzfPu8zhcBgjR440unbtaly9erW8qgwUqbRt2TAM4+GHHzZGjBhRjrUDSm7KlClGVFSU8cMPP3iXOZ1OY+TIkUZUVJSRnp5eZDn6ZQC3G64fwFeI3+ErxM/wBWJX+AJxI3yltG3JMKpen8QU5SiT2NhYRUVFqXXr1t5lzZs313333afY2Nhiy23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",
       "text/plain": [
        "<Figure size 2000x1000 with 6 Axes>"
       ]
@@ -11170,14 +11243,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "# Distribution of respondents based on age"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 360,
+   "execution_count": 511,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -11187,7 +11262,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 361,
+   "execution_count": 512,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -11204,7 +11279,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 362,
+   "execution_count": 513,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -11214,12 +11289,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 363,
+   "execution_count": 514,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x600 with 1 Axes>"
       ]
@@ -11249,7 +11324,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 364,
+   "execution_count": 515,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -11261,7 +11336,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 365,
+   "execution_count": 516,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -11274,7 +11349,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 366,
+   "execution_count": 517,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -11286,7 +11361,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 367,
+   "execution_count": 518,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -11300,7 +11375,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 368,
+   "execution_count": 519,
    "metadata": {},
    "outputs": [
     {
@@ -11373,7 +11448,7 @@
        "Java        0.080446  0.078374"
       ]
      },
-     "execution_count": 368,
+     "execution_count": 519,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -11385,12 +11460,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 369,
+   "execution_count": 520,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1200x800 with 1 Axes>"
       ]
@@ -11430,7 +11505,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 370,
+   "execution_count": 521,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -11443,7 +11518,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 371,
+   "execution_count": 522,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -11455,7 +11530,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 372,
+   "execution_count": 523,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -11468,7 +11543,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 373,
+   "execution_count": 524,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -11482,7 +11557,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 374,
+   "execution_count": 525,
    "metadata": {},
    "outputs": [
     {
@@ -11555,7 +11630,7 @@
        "TypeScript  0.062380  0.076744"
       ]
      },
-     "execution_count": 374,
+     "execution_count": 525,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -11567,12 +11642,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 375,
+   "execution_count": 526,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1200x800 with 1 Axes>"
       ]
@@ -11612,7 +11687,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 376,
+   "execution_count": 527,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -11624,7 +11699,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 377,
+   "execution_count": 528,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -11637,7 +11712,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 378,
+   "execution_count": 529,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -11649,7 +11724,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 379,
+   "execution_count": 530,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -11661,7 +11736,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 380,
+   "execution_count": 531,
    "metadata": {},
    "outputs": [
     {
@@ -11874,7 +11949,7 @@
        "Student                                            0  10113      0"
       ]
      },
-     "execution_count": 380,
+     "execution_count": 531,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -11892,7 +11967,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 381,
+   "execution_count": 532,
    "metadata": {},
    "outputs": [
     {
@@ -11986,7 +12061,7 @@
        "max    27228.000000  39479.000000  21683.000000"
       ]
      },
-     "execution_count": 381,
+     "execution_count": 532,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -11998,7 +12073,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 382,
+   "execution_count": 533,
    "metadata": {},
    "outputs": [
     {
@@ -12078,7 +12153,7 @@
        "Developer, mobile                              0.060359  0.057406  0.059529"
       ]
      },
-     "execution_count": 382,
+     "execution_count": 533,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -12090,12 +12165,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 383,
+   "execution_count": 534,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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lS0uSLly4kOXY7MZFRERIkgoXLiw/Pz8VKVLEqt93332nixcvWgVPYWFhKlasmCZMmKDHH39cjz/+uJ555hlt2bLlDu4OAADklCkl7Y7akIdSTFk2mVKzbstJOwAAuD85zB5M8fHp+zsULlzYpq1QoUKSlOUsovj4eJvQ6OZxiYmJWV73/Pnz+s9//iOj0aghQ4ZYjp84cUIxMTFycnLSzJkzdfXqVX3xxRcaP368EhMT1b1795zfHAAAyDGji5MC3tuhuKQUq+Mebi7a+2qLAqoqa6aUtPRN0++wvSDctqas9ufyLCvjqIOZbv4usQE8AAAPMocJmMxmsyTJYDBk2cfJKesfhDIbl3Esq3EREREaNGiQLl++rLfffltVq1aVJKWkpGj48OEqUaKEunbtaunfoUMHtW/fXjNmzFCnTp1kNPJ4ZgAA7oa4pBSbgMlRZRWISZKXu1G7XmokKYufGW7zJL+7JbuaS3u66YeXn/6//bisBnpIEpu/AwAAGw4TMLm7u0vKfLbRjRs3JEkeHh5Zjs3oc7OMc2U27sSJE3r22Wd18eJFjR8/Xr169bK0ubi4aOjQoTZjChcubHna3LFjx1S7du0c3BkAAMgLRhen2wYyplSTjM6Zt2fXZq+sArEibs5ZzwZyLynTqANZRU+SCrBmAACAXHKYgKl8+fKSpOjoaJu2jM29M9tnSZJ8fHx04MCBLMdl7MWU4a+//tKwYcMUExOjV155RYMGDcpxnV5eXpKyXq4HAADuDldnQ9ZhjZTt8q0CX7qVxWwgo7OR5WY5lN2yPkdchggAwIPGYQImT09PVaxYUUeOHLFpCw0NlY+Pj7y9vTMd6+/vr+3btys8PFwVKlSwGifJaqZRWFiYhg4dqvj4eL333nvq1q2bzfn+/vtvTZgwQf3791dwcLBV2+nTpyVJvr6+ub9JAABgv8zCGumeXb51r9VbUOzZm6ugZrYBAPAgcah/6mnTpo0OHjyoY8eOWY6FhYVp79696tChQ5bjWrduLYPBoOXLl1uOpaamasWKFSpXrpzq1asnKX3J3OjRo3X9+nXNnDkz03BJkqpUqaKIiAitXLlSJtP/PQklPDxc69atU926dS0zrgAAAJA/Mpb13fzHlJqW7VPvJFlmigWsDLD603Jty7saLvFERADAg8RhZjBJ0tChQ7V+/XoNGTJEQ4YMkcFg0OLFi1W2bFkNHjxYUvrStG3btsnb21uNGjWSJFWrVk29evXS4sWLFRcXp8cee0xbtmzRH3/8oVmzZsnFJf0216xZozNnzsjf31/JycnasGGD1fULFSqk1q1by8PDQxMnTtQ777yj3r17q0uXLoqNjdWKFSvk4uKi//znP/n7wgAAACBTOVk6qVEHC2SmWFazrm67+btUYBvAAwBwpxwqYCpevLhWrlypqVOn6uOPP5bRaFSDBg00ceJEy95HV65c0cSJE9WgQQNLwCRJr7/+ury9vbVu3Tpt2rRJVapU0ezZs9W6dWtLn3379klKXzo3ceJEm+t7e3tb+vfr108eHh5asmSJpk2bJnd3dz355JMaN26c5WlzAAAAcBC3WTpZUDLbTD3bzd+l224Az7I+AIAjcqiASUrf22jevHlZtleoUEHHjx+3Oe7i4qLRo0dr9OjRWY7N7ryZCQoKUlBQUK7GAAAAADmSTSiW1QbwbP4OAHBUDhcwAQAAAGADeADAvcWhNvkGAAAAAADAvYeACQAAAAAAAHYhYAIAAAAgSTKlpN1Rm5S++fidtAEA7g/swQQAAABAkmR0cVLAeztsnnzn4eaiva+2yH5sAWxMbkpJk9El638zv107ACDvEDABAAAAsIhLSrEJmIwuTlKKSXIxZj82nzcmzyoQk24fiplSTTI6Z30/t2u/U4RiAO5XBEwAAAAAsuXqbEgPlz54REq6btvBs6w06mD+F6bMAzHp9qFYVjOupLs76yq7UMzL3ahdLzWSlEWwlYOQDwAKCgETAAAAgJxJup55wGT0yP9abiPbUOz/B2L5PeMqQ1ahWBE356xrdi8p06gDWUVPkph1BaBgETABAAAAuH9lFoo5YCBmJYua78VZVwW1FBFA/iNgAgAAAIB7xD0168qzrIyjDhZIKAYg/xEwAQAAAADsk81MsYIKxQDkLxbKAgAAAAAeHCkm+9oBZIoZTAAAAACA+0q2G49n90REN09p/NG7WxxwnyJgAgAAAADcV7LamLy0p5t+ePnprJ+I6OyW7cbjd3NT8uxCMZ7Uh3sBARMAAAAA4L6T2cbkRdycsx/k7Jrl0/ru9qbkWYViHm4u2vtqi2zHFlQoBtyMgAkAAAAAgJs40tP6jC5O6ftCuWQdEhVUKAbcjIAJAAAAAAAH5epsyH7fKM+y0qiDPK0PBY6ACQAAAAAAR5fVvlFGj/yvBcgEu4QBAAAAAADALgRMAAAAAAAAsAsBEwAAAAAAyDVTStodteH+xB5MAAAAAAAg14wuTgp4b4fNk++83I3a9VIjSVk8+e42T8XDvYmACQAAAAAA3JG4pBSbgKmIm3PWT75z85TGH83HCpFfCJgAAAAAAEDey+zJd85uMqWaZHTOegbT7drhmAiYAAAAAABA/nB2ldHZqJZrWyouOc6m2cPVQ9t7bC+AwmAvAiYAAAAAAJCv4pLjFJ8cX9BlIA/xFDkAAAAAAADYhYAJAAAAAAAAdiFgAgAAAAAA9z1TSppd7ciew+3BFB4erhkzZmjfvn1KTk5WQECAJk+eLF9f32zHpaamauHChVq7dq0iIyNVuXJlPffcc2rXrp1N3+3bt2vevHk6deqUSpQooW7duum5556Ti4v1y3Hs2DHNnDlThw4dkrOzs5o1a6aJEyfKy8srT+8ZAAAAAADcXUYXJwW8t0NxSSk2bV7uRu16qZGkzJ9ex5Pvbs+hAqarV69qwIABSkhI0IABA+Tm5qZFixapb9++2rBhQ7bBztSpU7Vs2TJ16dJFderU0bfffqtx48YpJSVFnTp1svT77rvvNHbsWNWrV08TJkzQ8ePHNXfuXF28eFHvvvuupd/Zs2c1YMAAeXp6auTIkUpMTNSiRYsUGhqqkJAQubm53dXXAgAAAAAA5K24pJRMA6Yibs6Si1H64BEp6bp1o2dZGUcd5Ml3t+FQAdOSJUsUERGhkJAQ1axZU5IUGBiooKAgLViwQJMmTcp03OnTp7V8+XL1799fU6ZMkST16NFDwcHBmj59utq2bStXV1elpKRo2rRp8vf31+LFi+Xq6ipJKlq0qD7//HP1799f1atXlyR99NFHMplMWrFihcqWLStJql27toYNG6a1a9eqX79+d/vlAAAAAAAA+Snpum3AZPSQxJPvbseh9mDavHmz6tSpYwmXJMnPz08BAQHavHlzluO2bNkis9ms4OBgyzFnZ2cFBwcrOjpa+/fvlyT98ccfOn/+vHr27GkJlySpf//+MpvN2rp1qyQpOTlZ33//vVq0aGEJlySpSZMmqly5cra1AAAAAAAAPGgcJmCKjY1VeHi4VbiUwd/fX1FRUYqKisp0bGhoqDw8PFSlShWbcZJ0+PBhSz9JNtcoU6aMSpUqZel34sQJmUymLGs5cuSI0tLY/AsAAAAAAEByoCVykZGRktLDnluVLl1aknThwgXL17eOzW5cRESE1TVunpV0c99b+2V1zqSkJF25ckXe3t63v7H/LykpSZJ08uTJHI8pFBchsynV5rirjOlh2TUPKfmWjDCtsBQaKmO0USkptutKjS5GS9B2N1Dz3a9XyrzmbOuVqDkP6pUerPeyRM2ZudfeyxI1S7yXM3O/1OzI7wuJmiXey5mh5nR8Zth6IGp2wPeF5Ng131ZmNSe5S3lUU0aOkZFrZMVgNpvNeXJFO/3xxx/q3bu3Xn/9dZv9jdauXaspU6ZoyZIlatiwoc3Y1q1bq0iRIvrqq6+sjqekpMjf31+dO3fW9OnT9cYbb2j16tX6/fffVaRIEau+ffr00YULF/TTTz9p8+bNeumllzR//nw1a9bMqt+sWbM0f/58bd++/bZPtrvZxo0bNWHChBz3BwAAAAAAcBQzZsyweojarRxmBlNGzmUwGLLs4+SU9Yq+zMZlHMsYl901DAZDjvvdrs7MNG7cWDNmzFCFChV4Ah0AAAAAALgnJCUlKTw8XI0bN862n8METO7u7pKkxMREm7YbN25Ikjw8PLIcm9HnZhnnyhiXcY0bN25Yvr75GhmzmuypJSteXl7ZJn0AAAAAAACOqG7durft4zCbfJcvX16SFB0dbdOWsbl3ZnsiSZKPj0+24zL2YvLx8bE6fmvfjPPfrhZ3d3cVLVo0+xsCAAAAAAB4QDhMwOTp6amKFSvqyJEjNm2hoaHy8fHJclNtf39/y1Pobh0nSbVr17b0k2RzjcjISEVHR1v6Va1aVYULF86yFn9//2yX6wEAAAAAADxIHColadOmjQ4ePKhjx45ZjoWFhWnv3r3q0KFDluNat24tg8Gg5cuXW46lpqZqxYoVKleunOrVqycpfUpXmTJltGrVKqWm/t+u8cuWLZPBYFD79u0lSUajUc2bN9f3339veaKcJO3atUtnzpzJthYAAAAAAIAHjcM8RU6SYmJi1LFjR6WmpmrIkCEyGAxavHixjEajQkJC5OXlpYSEBG3btk3e3t5q1KiRZeybb76pL7/8Uj169NBjjz2mLVu26Ndff9WsWbPUrl07S78tW7Zo/PjxevLJJ9WhQwcdPnxYa9asUZ8+ffTmm29a+p05c0Zdu3aVl5eXBg4cqGvXrmnhwoWqXLmyVq1axUbdAAAAAAAA/59DBUySdO7cOU2dOlW//vqrjEajGjRooIkTJ8rX11eSFB4erhYtWqhBgwZatmyZZVxKSoo++eQTrVu3TlevXlWVKlU0cuRItW7d2uYaW7du1SeffKIzZ86oTJky6tq1q4YPHy4XF+s9z0NDQzV9+nQdOnRIHh4eatKkiSZMmCAvL6+7+yIAAAAAAADcQxwuYAIAAAAAAMC9xaH2YAIAAAAAAMC9h4AJAAAAAAAAdiFgAgAAAAAAgF0ImADgPvbvv/8WdAn3vbi4uIIuAQCAfMfPGPkjNTW1oEsAcoyACXfVjRs3bttny5Yt+VAJHFVKSooOHTqkrVu36tKlS4qLi1NsbGxBl5WpAQMG6Ndff82y/YcfflD79u3zsaLbCw4O1gcffFDQZdzXOnfurE8//bSgy8gTJ06c0KlTpwq6jDuSlpamc+fOFXQZVu61z4wDBw7oypUrWbZfuHBBGzduzMeK7k9du3bVihUrCrqMB4bJZLJ8ffXqVa1YsUJffvmlrl27VoBV2boX3xf8jJE/GjdurHfeeUeHDh0q6FJu6++//9bSpUu1cOHCbP//h/uXS0EXgOwdOHDgjsbVr18/jyu5M88++6wWLFigwoUL27RFRETorbfe0u7duwv0B+z169ff0bigoKA8rSMvREREyMfHR5J0+vRprVmzRq6ururevbsqVqxYwNXZ+v777/XOO+/o0qVLkqRFixbJZDJp7NixGjNmjIYMGVKg9cXFxSk6Otry/f79+9WsWTOVLVvWpm9aWpp++OEHhYeH52eJtxUXF6cKFSoUdBn3taioKHl5eRV0Gbm2cOFCnT59Wu+++67S0tI0cuRI7dq1S1L6D7OzZ8/O9LO7oDzyyCOaMWOGOnTokGn7V199palTp+q3337L58r+z73+mTFgwIBsX+Pdu3frv//9rzp16pTPld3e0aNHFR8fr5sfjpySkqL4+Hj9+uuvev311wuwOmsnTpyQq6trQZdx37t+/bpefvllxcTEaPXq1YqLi1O3bt104cIFmc1mffLJJ1q5cqXKly9f0KVKujffF/fqzxgHDhxQtWrVsvx/94ULF3TgwAGH+ax78skn9dVXX1nerx07dlSHDh1UrVq1gi7NwmQy6aWXXtL27dstn8MGg0E1a9bUvHnzVKpUqQKu0NadhKMGg0Hjxo27C9XcHWlpaTp//rx8fX3z7ZoETA6uf//+MhgMuR539OjRu1BN7v35558aOnSoFixYoCJFikiSzGazli5dqtmzZysxMbHAg5rJkyfLYDBY/VCa8ZrffOzm45JjBUyRkZEaNmyYXFxc9NVXX+nSpUvq1auX5V/nVqxYoZUrV6p69eoFXOn/+fXXX/Xiiy/K399f/fv3t3zIlytXTpUrV9aMGTNUunTpLH/RyQ8mk0m9evXS9evXJaX//U+fPl3Tp0/PtL/ZbFbjxo3zs8TbCgoK0rJly1SvXj1VrVq1oMvJsXfeeUdPP/20AgMDC7qU22rWrJk2btyoVq1aqXjx4gVdTo4sWbJEM2bM0JNPPilJ+uabb7Rz5041b95c1apV05IlSzR//vwC/SEqIiJCu3fvtnxvNpv166+/Kj4+3qZvWlqaNm/efEf/v8xL99pnxr///qvZs2db1bN8+XL9+OOPNn3T0tL022+/qWjRovlZ4m39888/GjlyZLZBncFgcKiAqW7dutq1a5eCgoJkNBoLupwcGzlypNq1a6eOHTsWdCk58tFHH2n37t0aNGiQJCkkJEQRERGWnz1eeeUVzZ49W9OmTSvYQv+/e/F9ca/+jHGvhekffvihEhIStH37dm3ZskULFizQ/Pnz9cgjj6hTp05q166dSpcuXaA1LliwQNu2bdMzzzyjDh06yMnJSXv37tWXX36p119/XfPnzy/Q+jLz2Wef5XqMowVMjviPbwRMDu6tt96y+j4lJUUfffSRvLy81KNHD1WrVk1paWk6e/asVq9erWvXrumVV14pmGIz8cknn2j06NEaMmSIPv/8c50/f15TpkzR4cOH9fDDD+vNN99UvXr1CrTGBQsWWH0fHx+v119/XdWrV1dwcLDVa7x8+XL9888/DvPDSIYPP/xQ//77r1566SVJ0po1a3Tt2jVNnz5dNWvW1HPPPae5c+dqzpw5BVzp/5k3b56qV6+ulStXKi4uzhIw+fn5ac2aNQoODtbSpUsLNGDy8vLSjBkz9Pfff8tsNuvjjz9Wq1atMg3qnJyc5O3trXbt2hVApVkzmUwKDw9X+/btVa5cOZUsWVLOzs42/b788ssCqC5rISEhqlSp0j0RMFWpUkW7d+9W8+bN5e/vn+Vr/L///a8AqsvcunXr9PTTT1t+4Pvmm29UqFAh/e9//1PhwoV148YNbd26tUB/iCpVqpQWL16sM2fOSEr/oW7dunVat25dlmMyfpEsKPfaZ0alSpUUExOjn3/+WVL6a3zo0KFMl2E4OTmpZMmSmjhxYj5Xmb1Zs2bpwoUL6t+/v1xcXLRo0SJNnjxZsbGx2rBhg65cuaKvv/66oMu00qxZM82ePVtt2rTRk08+KS8vL5vPDEf7JUaSfv75ZzVp0qSgy8ixH374QX379rW8Z7dv364SJUpoxIgRMhgM6tu3r1auXFnAVf6fe/F9ca/8jHE/hOnu7u7q1KmTOnXqpJiYGH333XfasWOHPvzwQ8s/GHXq1Elt2rRRoUKF8r2+b7/9Vm3bttWsWbMsx1q2bKmiRYtq/vz5iouLk4eHR77XlZ0dO3YUdAm5di/84xsBk4Pr3bu31ffvvvuuypYtq9WrV8vd3d2qLTg4WL1799bu3bsd5l+XGjdurM8//1zPPfecgoKCFBkZKVdXV7300ksaPHiwXFwK/i146y+wL730kqpVq6alS5da/U+yRo0aatWqlQYPHqwVK1Y41C++u3fv1sCBAzVgwABJ6T9UlSlTxvIvL7169bqjlP5uOnz4sMaOHZvpdHCj0aigoCCHWNfftGlTNW3aVFL6h3rv3r312GOPFXBVObd3716VKFHC8v3ly5cLsJqcK1u2rKKiogq6jBy5ef+lrJY1GwwGhwqYzp49a/m8SElJ0a+//qonnnjCsiSuevXqWr16dUGWKFdXVy1atEjh4eEym80aOHCgRowYoUaNGtn0zQhrKleunP+F3uJe+8xYuHCh5esaNWpoxowZDvMzRE4cPHhQ3bt316uvvqobN25o6dKlqlGjhgICAjRgwAAFBQVp+fLlDjWD6f3335ckJSQkZBl+OVqQIEkPPfSQQkNDC7qMHIuOjtYjjzwiKX0p16FDh9S6dWvLL1ulSpWyzDZ0BPfi++Je+RnjfgjTb1a8eHF16NBBnp6ecnNz07Zt2/TLL7/ol19+0X//+1/169dPzz//fL4uuQwPD7f8XHGzZ555RvPmzdPp06dVq1atfKsnJxxleWxu3Av/+Fbwv90jVzZs2KAXXnjBJlyS0n8p79Kliz788MP8LywbTzzx/9g787Ca1vf/v3fDroio0BxldpAQGU6aCYlGaZSjKESmcAwH5cgsU5IGmhOlwVBKiCNHpo55ajA1qpSGvX5/9NvrtGvv5HzOaa3l2+u6vtf3rP2sfXl/9rV61vPcz32/79EICwuDi4sLWR43YsQIqmUJJD09HStXruR7AsNisWBoaIhdu3ZRoEwwFRUVUFVVBdBkYJmXl4dZs2aR4927d+cxuaQDQkJt9xioqqqivNylJb6+vnw/f/bsGYSFhWmZHp6enk61hH/EypUrsXbtWrx79w6TJk3ie5ILgBYliY8fP6ZawnfTtWtXsgnDn3/+ierqap6g+fv373k2DVShoKBA+sr5+vpizJgxHeoj8L/CtDkjLS2NcX5i1dXVGDZsGABAXFwcysrKePToEcaPH4+ePXvCwsIC58+fp1glL0w8NQeabBu2bt2K58+ftzkvW1tbU6CuNbKysvjw4QMA4Nq1a2hsbOSZ5x4/fow+ffpQJa8VTHwumLTGYHowHWhqnpSeno6UlBRcvXoVdXV1UFRUxKJFi8h1/+nTp3HkyBF8+PABPj4+HaqNX+YUt3SPX4YNHcnPz0daWhq+fPkCDodDft7Y2Eh6+iUmJlKmjwmHb50BJoYhJCTU5mnLu3fvICYm1oGKeGnrxHvmzJkIDg7GunXr4ODgwONvRJfFCNCUgtqWl8OTJ0/QrVu3DlT0beTk5PD27VsATS97giAwZcoUcjwnJwfy8vIUqeOPhoYGzp49y/e0o6qqCtHR0bQ89WeaMXJz6uvr8enTJ7DZbPTs2ZPvxoAuLFmyBEBTl8mkpKRWwUaCIMBisWjjN8c0hgwZgujoaGhqauLw4cMQEhKCoaEhgKYOMBEREZSXL7dk9uzZAJpKMrj+JGVlZUhOToawsDBMTExoV9IAMGvOUFRUxJcvX3D//n3yICgnJwehoaEQERGBnZ0dNDU1KVbJS48ePVBVVUVeq6io4NmzZ+S1vLw87bIhmXhqDoC0YBCU+QE0HcTRZU03fvx4hIaGQkJCAqdPn4aEhAQMDAzw+fNnxMTEICYmBnPnzqVaJglTnwsuHA4HpaWl6N69O+09pJgWTL906RKSk5ORkZGBmpoaSElJwczMDKamphg9ejTPvevXr8fLly+RkpLSoQGmlr61XAT52tKR9PR0LFmyBI2NjQDA49HL/d8xYMAAyvRxofvhW2eAiWFoa2sjODgYWlpapDkrl4sXL+LUqVOURuM3bdrUyjC7Jc+fP8fGjRvJazotRoCmGviwsDAMGDAAZmZmZKZNfX09Tp06hdjYWDg6OlKskpcpU6YgNDQU1dXVSEpKQo8ePTBlyhR8+PABx44dQ2JiIhYvXky1TB6WLFkCe3t7WFtbQ19fHywWCzk5OXj48CHCw8Px6dMn2nldMcEYmR+FhYXYsWMHMjMzUV9fDwAQExODjo4OVq9eTctFraDMD7pSWVmJQ4cO4dKlS3j37h1EREQgLy8PfX19LFq0iHZB6dWrV8PFxQUWFhYgCAJOTk5QVFREdnY2nJ2dISMjg6VLl1ItkwemdYQCmDdnvHz5Eg4ODujZsycSExORn5+P+fPno6GhAcLCwrh48SKCg4NpFXwcO3YsYmJiYGpqChkZGQwaNAgJCQmoqamBhIQE7t69S7u/P6BpTREdHY309HQUFRXBx8cH4uLiSEpKwvz582m5+Q0NDaVawnfh7e2NoqIi/P777+jSpQu2bdsGSUlJ5OTkwM/PD6NHj6bd2oiJz0V+fj78/PyQlZWF2tpaBAUFgcViYc+ePVi7di3tgtIA84LpS5YsAZvNxpQpU2BqagodHZ02y9+UlJTI5kqdtJ/jx4+je/fu2Lp1KwiCwJIlSxAREYHa2lqEhYXhxo0btKti4R6+0QkWwYRwYickhYWFsLa2RklJCdTU1KCsrAyCIPDq1Svk5+dDVVUVERERlJU2/PHHH//oe1paWv+ykn9OeXk57O3t8fz5c3Tp0gUKCgogCAKFhYWoqanBmDFjEBgYSImBniDq6uqwefNmJCcno0+fPtiyZQvGjx+Pe/fuwdraGjNmzICPjw/tTpSuX7+OTZs2tcoY6927NzZu3AgDAwOKlPFn5syZUFRUJI2RPTw8cO3aNWRnZ0NCQgLbt29HRkYGLl26RLHSvykqKoKFhQXKy8sxceJEqKuro6GhAS9fvkR2djakpaVx5swZWpUJMI3y8nLY2Njg9evXUFdXh5qaGhoaGvDq1Su8fv0aqqqqiI2Npd0mt6ysDDdv3oScnBxGjRoFoMmzJCoqCpaWlrR7JrZt24bw8HA4OTlh9erVCA4Oxo4dO3g6Qk2cOJFWgWmmzRlLly7FrVu3sG3bNhgaGmLPnj04fvw4QkNDMWTIENjb20NaWpqn1IRqHj9+DBsbGxAEgYyMDFRWVsLExAQKCgqQk5PD7du3YWVlhS1btlAtlaS6uhrOzs64f/8+pKSk8PnzZwQFBaG8vBzLly+HsrIyTp06Rbu/QaZSWloKSUlJcg1UXV2NvLw8jBkzhlal+Ex8LvLz82FhYYGGhgaMHTsWmZmZCAoKAtDUdZAgCISFhdHOGoNfMH369OlkMJ0gCFoF06OjozFt2jTarSOaM3jwYCxatAgTJkzg+byyshKLFy/G2rVryXLm5owdO7ajJH4TTU1NODk5YenSpeBwONDU1MSuXbtgYGAADocDKysrKCgo8BjGU01dXR3279+PxMRElJSU8JT1cWGxWMjLy+swTZ0ZTAxDUVERiYmJCAwMxNWrV3Hr1i0AgLKyMtzd3TF//ny+/kwdhaBAEYfD4fHc+fjxI2RlZb/pw0MFPXr0wJkzZxATE4OrV6+SwY/x48fDyMgIs2bNop1uNpsNHx+fVqmwgwcPRnp6OplGSTcmTpyIS5cuIS8vD2/evAFBEFBUVMRPP/1ECwP4ljDBGLkl+/btQ01NDaKiolqZK96/fx9OTk44cOAAtm/fTpHCtnn69CkyMjJQWFgIBwcHdOnSBc+ePaNVJ6MDBw6goKAABw4cgJGREc9YamoqVq5cCX9/f1p1+ASAnj17Ytq0aTyf9erVCx4eHhQpahumdYQCmDdn3L59G46OjmS55JUrV6CsrExuAObMmUOrhTXQ9J6LjY1FeHg4evbsiZ49e+Lw4cPYsmUL8vLyYGJiglWrVlEtkwd/f3/k5eXB398fmpqa5IZs2rRpIAgC3t7e8Pf3x9atWylWyp/09HRcunQJhYWFYLPZkJeXh4GBAWluTycqKyuRnJwMMzMzMsB0/vx51NTUYPjw4bQ6LGTic7F7926IiIjg3LlzYLPZpGZtbW0kJibCzs4Ohw4d4mmGQQf27duH+vp6MlM3JiYG9fX1PMH0I0eO0CaYfv78eSgrK0NbW5vveHp6Onbv3o2kpKQOVsbL0aNHyQOVlgg6/KGT1UF9fT2ZBS0kJIS+ffvi8ePHMDAwgJCQEGbMmIGQkBCKVfKyc+dOnDp1CsrKytDT0+tQY3dB0G8H18k36dmzJ1atWkW7BZMgQkJCEBAQgMjISLI+dM+ePbhy5Qq8vb1hZmZGrUA+iIqKwtbWFra2tlRL+Z8QExOjbXCJC4vFwrBhw/ieatANphgjN+fatWuwt7fn27ljxIgRsLW1xblz5yhQ9m18fHwQFhZG+i1NnToVlZWVWLp0KXR1dbF//35aZOVdvnwZNjY2rYJLADB16lTcvn0bly5dol2AqaKiAkePHsWVK1fw7t07HD16FOLi4ggNDcWyZcto0ZGtOUzrCAUwb8748uULmR3x4cMHPHv2jMejRlRUlO/pKNX079+fp/T+559/Jg2TGxsbUVRURKv22KmpqbC2toaBgQHKysp4xkxMTPDgwQNcuHCBInWC4XA48PLyQmpqKgiCgJSUFBobG3Ht2jXExsbC2NgYe/fupU1WUFFRERwcHFBYWIiRI0eS78Hc3FzEx8fjzJkzCA4Opk3ZGROfi+zsbNjb20NOTq6VZmVlZcybNw/BwcHUiGsDugfTq6qq8OnTJ/L6jz/+gK6uLuTk5Frdy+FwkJ6e3qZ/bEfg7u5Om7/9f4q8vDwKCwvJaxUVFTx9+pS8lpCQQGlpKRXSBJKamoopU6bgyJEjtPn9OwNMDOXr168oLy8nTchaQpegQlxcHHx9faGpqcmTkTJ16lQUFhbC29sbkpKStCuFAoA3b96guLhY4GKaTimdABAeHk6mR/J7LlgsFi5fvkyBsia8vLz+0ffo1NqdicbIlZWVfBckXOTl5VFRUdGBitrH6dOnERoaCnt7exgbG8POzg4AMGbMGNjY2CAyMhInTpzAokWLKFbaVH7Rv39/geP9+/dHTExMByr6NiUlJbCxsUFRURH69+9PdpksLy9HamoqsrOzER4eTqsuZ0zrCAUwb85QVFQkT5NTUlLAYrF4GkZkZmZCSUmJInX8GTJkCPz8/DBjxgy+4/Hx8fD19cWdO3c6WJlgiouLMWjQIIHjffv2RXFxcQcqah9BQUFISUmBnZ0dFi1aBBkZGQBNWelHjx5FREQEQkNDaeNTuWfPHlRWViIwMJDnkMXX1xdmZmZYunQp9u3bh99++41ClX/DxOeitraWfA74ISEhgS9fvnSgovZB92B6XV0drK2tyUMTFouFnTt3YufOnXzvJwiC8q663OYsTEZHRwenT5/GsGHDoKurCw0NDRw6dAgvXryAsrIyzp8/3+aamgoqKytJL1u60BlgYhhlZWXYsmULLl++LDC4BNAn3TA0NBRTpkxplS45ZcoUTJkyBQsWLMCxY8doFWAqKCjA8uXL8fDhQ77jdOxedfDgQRw6dAhdunRB3759aZEe2ZJ/krbLYrFoFWBiojGyiooKsrKyBGbjZWVl0arzBJfIyEjo6+tj/fr1PKei0tLS2Lx5MyoqKpCQkECLAJO8vDz+/PNP2NjY8B3/888/aRf42Lt3L4qLixEdHQ15eXmyrEFXVxcRERFwdXXFwYMHsXfvXoqV/g3TOkIBzJszpk+fjkOHDqGgoAC3bt2CgoICJk2ahLdv38LHxweZmZmUZ+IVFRUhKyuLvCYIAtnZ2XxbYHM4HJw/f55WC2+gac5ofirekjt37tBuEwMAZ86cgYGBATZs2MDzOdc38f3797RqhHLz5k04Ozvzbd89btw42NvbIzY2lgJl/GHic6Guro5r167xnXsJgsCFCxdodVDBhe7BdGlpafj5+eHBgwcgCAKHDh2CoaEh3wAktxW9iYkJBUr/Zt68eTAzM8O0adNolTH6PSxatAhZWVnw8PBAdnY2rKysEBwcjJkzZ4LNZuPr16+0qyAaPHgwT+dUOtAZYGIYO3bsQGpqKrS0tDB06FBaBhKa8/btW8ybN0/guIGBAa0MWYGmk61Hjx7BzMyMEb8x0LToGzVqFE6cOEGpB1dbPH78mGoJ/zODBg1CYmJiK2Pk/v37w8PDg5bGyBYWFvj999+xceNGLFq0CPLy8gCaNmlHjx5FZmYmVq5cSbHK1rx+/brNElVtbW2kp6d3oCLBTJ8+HceOHUP//v3h5ORElu3V1dXh5MmTOH/+PBYuXEixSl4yMjJgZ2eHYcOGtSpr0NDQwLx582iXdcXEjlBMmzPc3d0BAMnJydDU1MSaNWsgLCyMyspK3Lp1CwsXLiQ9paiiV69eOHnyJF6/fg2g6SAiLi4OcXFxAr/j5OTUMeLayfTp0xEYGAhtbW2yUxWLxQKHw0FISAgSExNpN2cATYbO3GxSfkyaNIlWa7rq6uo210Q9evRoNf9RCROfCwcHB6xduxa+vr7Q19cH0PS7379/H8eOHcOdO3dokyHWHCYE03V0dEhfs6KiItjY2GDkyJGUamqLR48e4c8//8S2bdugr6+PWbNmYfLkybTzrW0LaWlpJCQkID09HT169AAAREVF4cCBA6ioqMCUKVNgZWVFrcgWeHp6wsPDA5qamjA0NISwsDDVkjq7yDGNcePGQVdXFzt27KBaSrvQ0dGBiYkJ1qxZw3d8165diI+Px/Xr1ztYmWA0NTVhbm6O9evXUy2l3YwYMQIbNmyg3aTXCfVwPTO4J3RiYmJgsViora0FQRCYNm0a9uzZQ7sT/okTJ2Lu3Lnw8PBAWVkZtLW1cfLkSdLg0s/PD+fOncO1a9coVtpUsjx//nzcuXMHEhISZIlyYWEhamtroampiZMnT0JMTIxipX8zYsQIrF+/HtbW1nx/3/DwcOzYsQP379+nWGlrmNIR6keisbERDQ0NtHmGi4qKUFBQAIIg4OjoCFdXV75ZKtyTfbr5idXV1cHV1RU3b95E165dUV1dDQUFBZSXl6O6uhoaGhoIDg6mlQE10DQvz549W+ChxM6dO3H27FncuHGjg5Xxh9tdMCIiotUml8PhwM7ODl+/fm0zONmRMPW58Pf3x+HDh0EQBJnlDzRlMDk7OwvcA1DNoUOHkJycDDk5OaxZswYDBw7Eo0ePYGdnBwcHByxfvpxqiYyipqYGaWlpOH/+PK5fv46GhgbIyMhgxowZmDVrFumh2Mm/i7OzM54/f47i4mKIiIige/furdZCLBaLJ/P3v6Yzg4lh1NXVYfTo0VTLaDc6OjoIDw+HtrZ2q65POTk5OHXqFOUpnS0REhLCgAEDqJbxXfTr1w/v3r2jWkabeHl5Yd68eeSpXHs9magskduzZw9MTEwwePBg8vpbsFgsWi1KhISEsHfvXpibm+Py5csoLCwEQRBQUlKCgYEB5TX7gvj5558REREBc3PzVovpBw8eIDw8nK+pNhWIiYkhODgYZ86cQVpaGrnxHTt2LAwMDGBubk67rogqKiq4e/curK2t+Y5nZWVBRUWlg1W1jbu7O0xNTaGrq8tj7t61a1faeOL9CHMG0FSOf+PGDRQWFsLExARdunRBWVkZ1NXVqZYGoMlnkhvI9fX1xZgxY2hZ6isINpuNEydO4OzZs7h48SLevn0LDocDDQ0N6Ovrw9LSkpbZ05MnT8bp06ehr69PZuNx+fPPPxEREUGbeRkAHB0dsXz5ctjZ2cHOzg7KysoQExPDmzdvEBkZibt378LPz49qmSRMfS48PDwwa9YsXLp0idSspKQEPT29Nv0Jqcbd3Z3M2uQyePBg3Lx5k/Jguo2NDZYsWUIGzgWV4LckMjLyv5TVJhISEpgxYwZmzJiByspKpKamIikpCWFhYQgJCUH//v0xe/ZszJgxA71796ZM57dobGzErVu32vThpVODqoaGBvTt25dWBymdGUwMw9HREUpKSrRtKd6S0tJSmJub4/3791BVVYWqqirExMTw+vVrPHv2DPLy8oiKikKvXr2olkri7u4OYWFh2rVibovk5GRs2rQJQUFBfLuF0YHBgwfDz88PM2fOJK+/BdVeV0zU3JLbt29DXV1dYJecd+/e4fbt2zA1Ne1gZW3z4cMHWFhYoLa2FqNGjUJWVhb09PRQV1eHGzduQEpKCjExMWQ7WSopKiqCtLS0wFPlyspKPH78mDZBEAAIDg7Gzp07sXbtWujq6sLQ0BDBwcEYMGAAjhw5gtOnT8PLywsLFiygWirJpEmTUFxcDElJSRgZGWHmzJkYP348rbKWfoQ5IyQkBHv37kVtbS1YLBaCgoLw5csXeHh4wNbWFhs2bKDVb94WHA4H1dXVuHHjBoyNjamWw3jev38Pc3NzlJaWQktLi/TWefHiBW7fvg1paWnExsaSpdh04OTJk9i3bx/ZyABoyqxhs9nw9PTE/PnzKVTXSUdRV1fHczDR/HloC6o61erp6WH9+vVk2aGenl67vkcX64DmFBcXIzk5GcnJycjNzYWwsDDGjx+P2bNnw8DAgFYZeX/99RdcXV3x6dMnCAqR0O2dTUc6A0wM46+//oKTkxMWLlyIadOmQUZGhu9Cjw6tu7l8/vwZAQEByMjIQGFhIRobG6GgoABdXV0sXLiQVi2agSaTb3t7e+jq6mLatGmQlpbmWz/cr18/CtTx59dff8X169fx7t07KCgoQEZGhq9mKk82mEhhYSGkpaUhISFBXrcHOgQ9uHyrw1J0dDS2b9+Oe/fudbCyb/Px40fs2bMHaWlpZCcVCQkJ6OjowMvLizYZC9/6jWNiYuDj44O7d+92sDLBEASBdevWIT4+HiwWCwRBQFxcHF+/fgVBEDAyMsK+ffto5Z1AEARu3ryJpKQkXLp0CZ8/f4asrCx5Yjps2DCqJTJ+zkhJScHy5cthYGAAIyMjrF69GidPnoSysjJ+++03ZGVlYcOGDW16K3Y0lZWV8PHxwaVLl/DlyxeBmwI6bggKCwvx6dMn1NfX8x2nU1CaS2FhIfbs2YMrV66Q3cG6dOkCXV1drFixgjbPcnM+f/6M69evo6ioCI2NjVBUVIS2trbAgxequH37dpvjLBYLbDYb0tLStOnm6O/v3+Y4V7OMjAxGjBhBWUbTkCFDsHPnTp7g/7cC5SwWC3l5eR0h7/8MBQUFuHjxIi5fvox79+5BQkICOTk5VMsicXJywp9//omFCxe26cPbvIMtnfj48SPevXsHNTU1iImJQUREhJJ1XGeAiWEYGRmhvLyc3Gzxo3NC/N8YNmwYCIIAh8Np8+VDp8Uqk082Ovl3efPmDU/2XVJSEjQ0NPgu+jkcDu7cuQOCIDq0Nvt7IQgCpaWl4HA4kJaWptzAMD8/n8cAOyAgALq6unxLazkcDjIzM/Hp0yfcvHmzI2W2i1u3bvGUYigqKkJfX580FqUr9fX1uHr1KpKTk3H16lVUVVWhX79+MDU1xYwZM2iz+WIa5ubm6NKlC8LCwvh6c7m4uODTp09ISEigWOnfbN68GZGRkRgyZAgkJSVx+/ZtGBsbo7i4GPfu3YOIiAh27NiBqVOnUi2V5P3791i8eLHAdQQdu9W2hMPhoKysDARB8BzEtcwU6aT9tCfowUVaWhqrVq2ivFSHu2bm/l9zmnsxca9nz54NHx+fDtfp7e3NY5K9du3adv3Wvr6+/7W0/1PU1tbi6tWruHz5MtLT01FdXU2reU5DQwPOzs5YtmwZ1VK+i9zcXGzdupXc/wcFBYHD4WDdunXw9vbu8PcfvUwhOvkmmpqajElN/xZ0TV13c3Nj3G/M1MBRaWkpjh8/joyMDBQVFUFYWBiqqqowNDSEs7MzmQVAFf/UQJpKXyNVVVWUl5eTxvksFgu5ubnIzc1tda+QkBBkZGSwevXqDlb5fbBYLMjIyFAtg0RJSQnZ2dl48OABgCZ9V65cwZUrV/jeLyws3G7PsY5m8ODBGDNmDBm0e/r0KWRlZSlW9W1ERUWhr68PfX19vH//Hrt27cL58+exb98+HDhwAOPHj8cvv/xCBkY6CibOGc15/vx5my2YDQ0NadUlDGjqiDhlyhQcPXoUpaWlmDBhAtzc3DBkyBDk5ubCyckJRUVFVMvkYfv27Xj8+DGmT5+O4cOHU+730l709fWxbt066Ovrk++P5pw/fx5bt27FrVu3KNHHdA+0w4cPw9vbGxISEpg3bx5Zgsj1jPr06RM8PDzA4XBw4cIFeHt7o0ePHpgyZQplmuPj42Fvb48xY8bA1dWVR3NwcDAuX76M3bt3Q1ZWFklJSQgNDcXAgQM7vLNjy0AR3ZsltefZbQmdnuXmfP36FRkZGUhJSUFmZiZqa2uhoKAAe3t7zJo1i2p5PIiJidHaH4ofeXl5cHR0hLS0NGxsbMhqFUlJSRAEgRUrVkBSUrJD1xmdGUyd/Kd8/vwZvr6+jExdZyr19fX49OkT2Gw2evbsSXm2hyDy8/Mxd+5cFBcXk/5cHA4Hr1+/RkFBAQYMGICwsDCyTSgVfM9pIkDPU+eWnjBMoa6uDvv370diYiJKSkr4Gi1Sma1ZVVWFiooKEAQBAwMDctPVEmFhYfTo0YNWHgNAU4B/x44diIiIwLlz58hNwcqVK5GSkoLFixe3Mj+lE58+fUJqaiqSk5Nx7949EAQBTU1NzJo1CwRBIDo6Gnl5eVi7di0cHR07TBfT54xx48bBxcUFCxcu5JvBdPDgQZw6dYqyAAI/fvrpJ6xbtw62trYAgClTpsDV1RVz584FAGzbtg05OTk4e/YshSp5GTNmDGbOnIlNmzZRLaVNiouL8fjxY/J6wYIFWLBgAcaPH9/qXg6Hg6ioKNy4cYOycmCme6B5e3vj3r17iI6OhqSkJM/Y169fYW1tjREjRuC3334Dh8OBo6MjCILAqVOnKFLc1MFKSEgIJ06c4Du+ePFifP36lRxfu3YtHj16hMTExI6U2QoHBwcsWrRI4CFEeno6du/ejaSkpA5W1kR7nt2W0OlZ/vr1KzIzM5GSkoKMjAzU1taiW7dumDp1KkxNTTFmzBiqJfJl7dq1+PDhA06ePEm1lHazcOFCvHr1CvHx8airq8OECRPI93Z5eTnmzp0LWVlZhIWFdZimzgwmhtLQ0ICHDx+iqKgIWlpaEBcXR2NjI6SkpKiWxsOePXsQHx//zdR1OkL3LjotKSwsxI4dO5CZmUn6OYiJiUFHRwerV6+mnS/Crl27UF1djWPHjrUqx0lNTcWqVauwa9cubNu2jSKFP0ZqdFpaGu18JtrDzp07cerUKSgrK0NPT492nXMkJSXJDUBoaCjU1dVplWX1LU6ePInQ0FBMnz6d573h6OgIERER+Pv7o3fv3rC0tKRQJS+lpaW4cOECkpOT8eeff6KxsRFqampYsmQJTE1NeeY4CwsLmJub48iRIx0aYGL6nDFu3DhER0eTwZrmFBUVITw8HFpaWhQoE0yXLl14gnoqKip4+vQpeT1o0CCcO3eOCmkCIQgCQ4cOpVrGN5GQkMC6devw6dMnAE0b2BMnTggMJhAEIdCLriNo+b5LS0ujTMs/4fLly3B3d28VXAKa1nOzZ8/GoUOH8Ntvv0FISAhTp07F3r17KVD6N3fv3m0zC3rSpEnYuXMneT169GikpqZ2hDQeqqqqyOcYAP744w/o6upCTk6u1b0cDgfp6ekoKCjoSIk8MO3ZBZoOBjMyMpCamoqMjAzU1NRAWFgYP//8M2bNmtWqAywdcXR0hLu7O9zc3DB16lSBPrx0yToGgDt37sDV1RWSkpIoKyvjGevRowdsbGxw+PDhDtXUGWBiIBcvXsTWrVtRXFwMoKnOsq6uDsuWLcPSpUtp1RGDianrQOsuOsOHD6d1F52ioiJYWlqivLwcEydOhLq6OhoaGvDy5UtcvHgROTk5OHPmDPr06UO1VJLr16/D0dGRr9fL1KlTce/ePZw5c4bSANPs2bMp+7f/Lbib7r/++gvV1dU8WYQNDQ2orq5GdnY2fv31V6ok8iU1NRVTpkzBkSNHaPW3xg/uhruiogI1NTU82VaNjY1kKTCd5ubY2FiYmZm1CvAPHz4cO3bsQH19PcLCwmgVYJo8eTLpw2VrawtTU1OBXTOFhYXRt2/fVout/xqmzxmenp6wsrKCqakpJk+eDBaLhdTUVFy4cAEJCQkgCAIeHh5Uy+Rh6NChuHz5MpmxpKamxpNBU1RURCuzegCYMGECsrKyaPX3xY+uXbviyJEjePr0KdkYwMrKCqNGjWp1r5CQEGRlZflmN3UULQ/S6Haw9i2EhIRQXV0tcLyyshKNjY3kNYvFovzZ7t69O549eyZw/Pnz5+jSpQt5/fnzZ74BtP+auro6WFtbkx62LBYLO3fu5Al+NYcgCEqDCEx7doGmA4ra2loQBAENDQ2YmprCxMSE0kqE74X7Di8qKkJmZmarcbplHQNNAdGuXbsKHG9sbGx318R/i84AE8PIzs6Gp6cnhg0bBnt7e7JGV15eHn379oWfnx969+5N6QlSc4qLi/Hzzz8DaDIklJOTQ25uLoYMGQINDQ1YWFggISGBVhuvlJQU+Pr68nTRAZpOQSdPnozw8HCoqanRqovOvn37UFNTg6ioqFYbrvv378PJyQkHDhzA9u3bKVLYGiEhoTZfOqqqqmhoaOg4Qd8Bk4I1z58/x6JFi9o8iWOxWLTSDDQtpPX19WkfXAKaDHtXrVr1zU4odJrnioqK2vTA0NLSot0JKje1ftKkSe0q/d2wYQO6d+/eAcq+DVPmDDU1NZw+fRrbtm1DVFQUAJD/f/jw4fj1118xaNAgKiW2ws7ODh4eHpgzZw5CQkIwY8YMREZGwsvLC/369UNISAjl3dhevXrFc21lZYWlS5fi119/xYwZMyArK0vbbrXDhg0jOzQWFRXByMgIAwcOpFhV+6mrq0Nubm6b3fqoNsrmMmbMGISGhkJfX79VidTr168RFhZGlhYRBIELFy6Q5c1UYWRkhIiICKipqWHu3LkQEREh9Z07dw7R0dEwNzcH0GSNEB0dLfBg4L9EWloafn5+ePDgAQiCwKFDh2BoaMh3PuMGS01MTDpcJxcm+onJyspi1qxZMDU1hYqKCmU6/hd8fHwYse5szpAhQ5Camsp3X1pXV4dz585hyJAhHaqpM8DEMA4fPoxBgwYhPDwcVVVV5IQzcOBAREdHY968eeQCiw4wMXU9MDAQY8eOhb+/P8/pt5KSEgICAuDi4oKoqChaBZiuXbsGe3t7vi/tESNGwNbWlna/89SpUxETEwMrKyue0y2gyUfq7NmzfD1tqISJwZq9e/fi3bt3sLe3h4iICIKCgrB27VpUVFTg3LlzKC0tRXx8PNUyWzF48OA2T0XpxO7du5GTkwM9PT2Ii4sjKSkJzs7OKCkpwZUrV1BfXy+wpIQqevXqhUePHgkcf/LkCe1OHXfv3v1d99PBrJyJc8agQYMQFhaG8vJynu6CvXr1oloaXwwMDODj44OgoCB06dIFY8aMgZubG44ePQqgKRNgzZo1lGqcNm1aq00LQRCIiYlBbGyswO/R6ZQcQLuy1x4+fIiffvqpA9R8m2fPnmHBggX4+PGjQA9QFotFmwDTqlWrYGNjA3Nzc4wfPx59+/YFm83Gq1evkJ2dDQkJCfLQ08jICAUFBf/IDPrfZPny5Xj48CG2b9+OvXv3QlFREaKiosjPz0dVVRVGjhyJlStXor6+HlOnToWIiMh3z+X/Fjo6OmTWfFFREU9XOboREBCAAQMGkAGmgICAb36H6gCTuro6pKSkaHs43B7mzJlDtYTvxtXVFW5ubvDw8IChoSGAJpP9srIyBAUF4enTpzh48GCHauoMMDGMhw8fYtmyZXz9SNhsNszMzCh/2TSHianrTOyiU1lZybeOnIu8vDwqKio6UFFruKfgXNTU1JCYmIgZM2Zg7ty56NevH4SEhFBQUIC4uDh8+vQJDg4OFKnlDxODNTk5ObCwsMC6detQW1uLkJAQDB48GOPHj4eDgwPMzMxw6tQpWm1wgaZSHQ8PD2hqasLQ0JC2ZvVAU2bpjBkz4Ofnh6qqKiQnJ8PIyAijRo1Cfn4+LCwscPXqVYwePZpqqSTGxsYIDg7GkCFDYGVlRf6+BEEgISGBPLCgkh+hiw7T5ozmxrc9evRoFWSk2vhWEHPmzOHZGHBL/SoqKtC/f3/KPdzc3d0ZdyrOj/r6ehw7doxs3MKvHLiqqoo2gTEfHx+UlZVh4cKFjOjW17dvX8THx+PAgQNIT08nu8FKSkpi2rRpWLZsGeTl5VFaWgpFRUUsXrwY06ZNo1Rz165dER4ejoSEBFy6dAlv375FTU0NRo8eDSMjI5iZmUFISAgVFRVwd3fHtGnTaJGZR3e/PCb6icnJySEsLAzbt2+HnJwcJkyYgEmTJmH8+PGM8wJ98uQJLl26hMLCQrDZbMjLy0NPT4+W2Zs6OjrYvn07fHx8yOdky5YtIAgC4uLiWLduHQwMDDpUU2eAiWF8KxhTVVVFq0UME1LXWyIuLo4vX74IHOd2aKMTKioqyMrK4mvMCgBZWVlQVlbuYFW8bNq0CSwWq9UpYk1NjcDTLC8vL0pTlFvCxGBNdXU1Wd4gLi4OZWVlPHr0COPHj0fPnj1hYWGB8+fPU6yyNQEBAejSpQuWL18OERERdO/evdXcxmKxkJWVRZHCvykvLyfLFiQlJaGoqIgHDx5g1KhRUFZWhoWFBS5fvkyrwIeHhweys7OxZcsW+Pn5QUFBAWw2GwUFBaisrMSQIUOwZMkSSjW258S2JXQLMNF9zmCa8e33oKCgAAUFBaplAADlf0v/FgcOHMDx48chIyOD7t2749WrVxg+fDhKSkrw/v17iIuLU54t1pzc3Fw4OjrSak74FvLy8mTwo7y8HA0NDZCRkeF5/0lLSyM4OJgiha0REhKCmZlZm5lgUlJSWLx4cceJageZmZlkp9rm3lZcWCwWQkJCKFDGTD+xzZs3AwAKCgpw/fp1XL9+HZs3b0ZVVRUGDx6MiRMnYsKECRg9ejTt9lHN8fPzQ1BQUKv9yv79++Hs7NymqT1VzJkzB0ZGRrh+/Trevn0LgiCgqKiIiRMnUpKN3hlgYhgaGho4e/Ys38yOqqoqREdH0yrdkwmp6y1hYhcdCwsL/P7779i4cSMWLVoEeXl5AE16jx49iszMTKxcuZJSjaGhoZT++/8GTAzW9OjRA1VVVeS1iooKT+mZvLw8Pn78SIW0NmloaEDfvn3Rt29fqqV8k27duvF4e7QsBe7Xrx8iIiKokCYQCQkJREdHIyYmBhkZGSgsLERNTQ2GDx8OXV1dWFlZUb4AZMKJ7beg+5zBNONbAP8os5XKjaIg7t+/j8DAQGzcuJEs59y+fTsKCwvh5eVFy461qamp0NTUREhICEpLS6Gjo4MdO3ZAXV0dFy5cwIoVK9CtWzeqZZKw2WzKD9f+F5pvDDkcDtkwwtjYmDpRAmCKzxyXU6dOYfv27SAIAlJSUpRnObaHuro6REdHk+9sERERqKqqwtDQEKamprRJMFBSUoK1tTWsra3B4XBw//593LhxAzdu3MDJkychKiqK0aNHY9KkSZgwYQKtsoJiY2Nx4sQJ6Onpwc3NDWpqamhsbMSLFy8QEBCAkydPYuDAgbQpq22OpKQkbeaGzgATw1iyZAns7e1hbW1NGuDm5OTg4cOHCA8Px6dPn2hXvkX31PWWMLGLjqOjI+7fv09uGMXExMBischuDtOmTaPcYJhuQbl/AhODNWPHjkVMTAxMTU0hIyODQYMGISEhATU1NZCQkMDdu3dptSHgEhYWRrWEdjNy5EgkJCSQQZkBAwYgIyMDHA4HQkJCeP78OSQkJKiW2QoRERHMnTuXLGGmG0w4sf0WdJ8zmGZ8CwAvXrxotZGqqKhAfX09JCUloaKiAoIgUFhYiM+fP0NKSop2QYacnBzMnz8fYmJiKC8vJwNMvXr1QmJiIiwtLREREUE7Q/X379/DwcEBoqKi6NOnD2RlZXH37l2oq6vD2NgYpqamiIyMJE2dqUZPTw/JycmwsrKiWkq7+Pz5M3x9fckSREG+UXQpQQSY6TMHNK0x+vfvj6NHjzLiXVNSUgJHR0dyPaGgoICGhgZcu3YNaWlpiI+Px7Fjx2hXBiokJAQNDQ1oaGhg8eLFqK6uxq1bt3Djxg1ERUXh999/p9XzfOrUKWhpaeHw4cM8n2tqauLIkSNwcHDA6dOnKQ0w+fv7f/d3WCwW3N3d/wM1/OkMMDEMDQ0NHD16FJs2bcK+ffsAAIcOHQIA9O7dG/v27SNLNehAcz+H5nBT1+no58DELjpCQkLYu3cvzM3NcfnyZRQWFoIgCCgpKcHAwIDyE+e2SE9Pb1XnbGBgQBox0gkmBmtcXV1hY2MDPT09ZGRkwNLSEidPnsSsWbMgJyeH27dvM2bxTVfmz58PZ2dnGBgYIDExEbNnz0ZISAgcHBygrKyMxMREyk+VXr16hd69e5OtbFt2tRIEHbwympOfn4+0tDSB/i/Z2dlITEykUCEvTJgzmGR8C4D0peHy559/wsXFBRs2bICFhQXpJ8bhcHD27Fls2bIFrq6uVEgVyMGDB6GqqorQ0FD07NmT/HzhwoWwtLSEnZ0d9u7dS2Z70wU2m82zgVVRUcGTJ0/Ia01NTaSnp1MhDUBTw5PmaGtrY9OmTXBxccH06dMhIyPD18+PLmukPXv2ID4+HkOGDIGkpCRu374NY2NjFBcX4969exAREcGOHTuolskD03zmuBQVFcHb25sRwSWg6dl49eoVNm7cCEtLS/Jwvq6uDmFhYdi1axf27dtHu6qQlnTt2hV6enrQ09MD0BS0phMvX74U+BuyWCwYGxtTZlLPhV+AiXvo0jIo3fwwpjPA1EmbTJw4EZcuXUJeXh7evHlD1ln+9NNPZHtQqvhR/ByY1kWHy6RJk2izUPoWHA4HXl5eSE1NJVOUGxsbce3aNcTGxsLY2Bh79+6lTcovwMxgzeDBgxEbG4vw8HD07NkTPXv2xOHDh7Flyxbk5eXBxMSkTVN7qvhWGQyLxQKbzYaMjAxGjBgBc3Nzyk7utLS0EBgYiODgYHTv3h1SUlLYunUrfHx8kJOTAw0NDcoXfSYmJti5cydmzpwJgH9XK37Q6WQxPT0dS5YsIb0ymnu6cf+3DBgwgDJ9/GDanEF341t+/Pbbb5g1axasra15PhcSEsKcOXPw+PFj7N27l+yuQwfy8vLg6enJE1zi0rNnT1hbW5OHh3RiwIABuHnzJvnMqqmp4eHDh+R4aWkpXy+bjmLBggV8u/Vx/WD4jbFYLNrMcxkZGZgyZQqOHj2K0tJSTJgwAW5ubhgyZAhyc3Ph5OSEoqIiqmXyQHefOUEoKiqSpcFMIC0tDba2tq3sO9hsNlxcXPDmzRskJiZSvtZoSUVFBY4ePYorV67g3bt3OHr0KMTFxREaGoply5bRzgZBQkKCp4N4S8rKyii3D0hOTua5/vTpEzw8PPDzzz/D0dER6urqIAgCb9++RWhoKK5evdrhhxWdASaGwmKxMGzYMPTv3x8pKSlQUlKiPLgEMNPPoS169OgBNpuNoKAgWtXbRkVFQVtbGyoqKuR1e2i5AKeSoKAgpKSkwM7ODosWLYKMjAwA4OPHjzh69CgiIiIQGhoKR0dHipX+DRODNefPn8fo0aOxceNG8rOff/6Z9v42QkJC+Ouvv1BRUQFJSUmyxIVb9iIqKgopKSlUVVXh7NmziIiIQHh4OCXZILdv38aoUaN4MjUtLS0xa9Ys1NbWonv37h2uqSXu7u48mZdM7Gp1/PhxdO/eHVu3bgVBEFiyZAkiIiJQW1uLsLAw3LhxA7t27aJaJg9MnDOYxqtXr2BpaSlwXEVFhXabciEhIZ7SyZbU1tbSstW3ubk5fv31V3z9+hU7d+6Evr4+YmNjsXv3bqirqyMkJARDhgyhTB8TA6TNKS4uxs8//wygqXxVTk4Oubm5GDJkCDQ0NGBhYYGEhATKLQ+aQ3efOUHY29vjyJEjMDMzQ58+faiW802+fv0KVVVVgeM//fQTrbJ3gaayPhsbGxQVFaF///6oq6sD0GRen5qaiuzsbISHh0NNTY1ipX+jpaVFlsApKSnxjOXn5+P06dOUN6dq+Xv5+vpi1KhRrTKrhg4dih07dmDp0qXw8/PrUOsJ6iMSnfxPVFZWwtvbG0FBQWQNP5Uw0c/hW3z58gWHDh3C6NGjW002VLFp0yb4+fmRASZBHdqaw2KxaBVgOnPmDAwMDLBhwwaez3v37o2NGzfi/fv3iI2NpVWACQD69+/PqGDN5s2b4eDggKVLl1It5buYN28ePD09sXbtWsybN49MB+dwOIiLi8PWrVuxfft26OjoIC0tDWvWrMHBgwexbt26Dte6ZMkSmJubtwoUsNlsyk+6uLT0jWNiV6snT57AyckJBgYG4HA4EBcXR0lJCQwMDDBu3DhYWVnB398fBw4coFoqD0ybM5iGsrIy0tLSMG/evFZj9fX1SEhIoNUGBmgqJQsPD4eFhQV5uMKlrKwMkZGR0NTUpEidYCwtLfH+/XuEhoZCVFQUurq6MDU1xfHjxwEA3bt3p7ShyOzZsyn7t/8NunTpwhP4b9kwYtCgQTh37hwV0gRCd585QVRWVoLNZsPIyAgjR46EjIwM307dVJdDcdHR0cH58+dhY2PDN6EgLS0N48aNo0CZYPbu3Yvi4mJER0dDXl4eEyZMAADo6uoiIiICrq6uOHjwIPbu3Uux0r9ZtmwZLC0tMWPGDEyfPp20CXjx4gVSUlLAYrGwbNkyilXycvv27TY7240fP15gosd/RWeA6QegraACFTDNz6E90O03Dg0N5ekww8QObfn5+bCzsxM4PmnSJMoN638E3xphYWFaZNB8LwcPHoS5uTmcnJx4PhcSEoKlpSUeP36M3bt3Q0dHB/r6+rCxsUFycjIlAaa6ujrG+Dhw0dfXh6mpKUxNTWn1vLZFfX09+TsLCQmhb9++ePz4MQwMDCAkJIQZM2ZQ3insR5gzmIa9vT02bdoER0dHzJ07F0pKSiAIAq9evUJISAjy8vJIz0q64OHhAVtbWxgbG2P69OlQUVGBmJgYXr9+jdTUVFRWVmL//v1Uy+TLkiVLsGjRInKTu3PnTlhZWaG8vByampqQlpamWGFrXrx4gczMTBQWFkJYWBh9+/aFvr4+7TJXhg4disuXL5ONF9TU1HD37l1yvKioiG8QhEqY4DPHj+Zzwh9//MH3HhaLRVmAqaWf2JQpU7BlyxbY2trCyckJampqYLFYKCgoQFRUFB4+fEibYBiXjIwM2NnZYdiwYa3KzjQ0NDBv3jzExMRQpI4//fv3R1hYGLZt24a4uDieMQ0NDaxfv552pfhSUlJtlvnevn271UHGf01ngKmT/xRB6crPnj2DsLAw7U4VmULLjmxKSkqQlpaGuLg43/s/f/7MY8RJB7p3795m2UJBQQG5SaOKH8G3ZuXKldizZw8kJCQwadIkgad0dMm04fLmzRvY2NgIHFdXV+dZmPTt2xclJSUdIa0VLi4uCAwMhIqKCsaPH0+LcuVvIS8vj6NHj+Lo0aMYOnQoZs2aRZrg0hV5eXkUFhaS1y1P9yUkJFBaWkqFNJIfYc5gGtbW1igrK8ORI0d4NooEQaBLly7YsmUL5Sb7LRk2bBhOnjyJHTt2IDo6mucQa+jQodi/fz+GDx9OoULBVFZW4ty5czAzM4OkpCSApgBOTU0N7SwPCILA5s2bERMTw9MUAGhan7q7u8PNzY0ida2xs7ODh4cH5syZg5CQEMyYMQORkZHw8vJCv379EBISQnl5TkuY5jPH5fHjx1RLaBNBfmL379+Hl5dXq8+BpoYjdHqXfP78uc3KD1lZWVRUVHSgovbx008/ITIyEiUlJTxNk+i6PjIxMUFwcDB69+6NefPmkUH+Dx8+4Pjx40hNTe3wKgb6r4I7YTwnTpzAq1evsG3bNnA4HCxatAhXr14F0JSlcuDAAVq28GYS+vr68PPzw4wZM/iOX7hwAT4+PjwnYVQzefJknD59Gvr6+hg1ahTP2J9//omIiAgYGRlRpK6JH8W3pqamBps3bxZ4D4vFQl5eXseJagcKCgrIzMxsZWjJ5erVqzzNA/Lz8yl7+efk5KCsrAy//PILmTHWMojHYrGQlZVFiT5+nDp1Ch8+fEBSUhLOnz8PHx8f7Ny5E+PHj8esWbNgYGBAu3lZR0cHp0+fxrBhw6CrqwsNDQ0cOnQIL168gLKyMs6fP8+3oURHwvQ5Y86cOTA3N+dbbkZn3NzcMHfuXNy8eZNsHKKiooIJEyZQflDBj6qqKmhqaiI6OhqlpaUoLCwEh8OBgoICrZuJFBUVwcHBAYWFhRg5ciQZBMvNzUV8fDzOnDmD4OBg2mQxBQQEICoqCkZGRnB2doaqqioaGxvx6tUrBAUFYf/+/ejTpw9tSusMDAzg4+ODoKAgdOnSBWPGjIGbmxtp0KuoqEg7E+dOn7n/Bqb7iQFNc/Ddu3cF2nNkZWWRVh90REZGhrZBpeZ4enriyZMnOHToEA4fPkwmG9TW1oIgCEyfPr3DO6myCLrV/nTyXVRVVWH79u1YsGABT8kUXQgODsaOHTswbtw4hISEICkpCV5eXtDT04O6ujqCg4Mxf/58LF++nGqpAvny5Qtp8k0XD6b8/Hye7I2AgADo6uryTdvkcDjIzMzEp0+fcPPmzY6U2Sbv37+Hubk5SktLoaWlRWazvXjxArdv34a0tDRiY2MhLy9PsVJms3bt2nZtcOm2mAkNDYWPjw+MjIwwf/58qKqqgs1m4/Xr1wgPD0dcXBxWrlyJBQsWID4+Hj4+Ppg+fXqbgbT/Cnt7+3bd15EGi9/Lq1evkJSUhJSUFLx8+RLi4uIwNDTs8Lr9tigtLYWtrS3evHmD7OxsiIiIwMTEBMXFxWCz2fj69StWrVpFKwNcpjF8+HD8+uuvtMw4+JHQ19eHlZVVhy/6/1dWrlyJrKws7NmzBxMnTuQZu3XrFpYuXQpjY2P89ttvFCnkxcDAAAMGDMCRI0f4jru4uODjx4+0M0duSVFRESoqKtC/f3/Sj7CT/x2mdThjGsHBwdi5cyfWrl0LXV1dGBoaIjg4mPybPH36NLy8vLBgwQLKNE6aNAmbNm0iu4y2JwuTbgeGXDIzM8lSYKDJn9DIyKhV1UtH0BlgYhi1tbUCy6C4JCUlYfr06R2kqG1mzpwJRUVF8vTFw8MD165dQ3Z2NiQkJLB9+3ZkZGTg0qVLFCv9G39/fxgZGWHgwIF8x+/fv4+4uDhs2bKlg5X9DUEQsLKywoMHDwDgmwbfwsLC8PLyot3Gq7CwEHv27MGVK1fw5csXAE0ml7q6ulixYgUtfW3u37+PwMBAbNy4kTTW3759OwoLC+Hl5UXLQC9T8fPzQ3BwcKvSBhaLBScnJ6xevRpfvnyBpqYm+vbti7CwMFqf/tMdgiCQk5ODEydOICMjg1btu7nU1dUhPT0dU6dOBQC8e/cOBw4cQEVFBaZMmULLwAiT5gxHR0d069YNe/bsoV3Z7I/E8OHDsXHjxja739GRSZMmwc7OTmBZmb+/P2JjY5GRkdGxwgQwcuRIrFmzRmAmbHh4OH7//Xfcu3evg5X9eHz9+hXl5eVobGzkO66goNDBitqmZYezp0+fIigoCLW1tVi8eDGkpKRo1+EMaAqK1dTU8KyLGhsbUV1djRs3btBqnU8QBNatW4f4+HhynyIuLo6vX7+CIAgYGRlh3759lPqK2dvbY/HixWQX4B/hwJAOdJbIMYwFCxbg+PHjfEsXioqKsHnzZmRlZdEmwPT27Vs4ODgAABoaGpCdnY3Ro0eT+gcNGoSoqCgqJbbC398fffv2FRhgun37Ns6cOUNpgInFYuHkyZOoqKgAQRAwMDDAunXroK+v3+peYWFh9OjR45uBSSpQVFTE7t27weFwUFZWBoIgIC0tTTsTSy45OTmYP38+xMTEUF5eTm4We/XqhcTERFhaWiIiIoJv10SqcHBwwKJFi8iXZ0vS09Oxe/duJCUldbCyb7Nq1SrY2NggPT0d+fn5qK+vh6qqKgwNDaGsrAyg6W/h1KlT0NDQoMz7yNvbu81mBjdv3sSJEyfITkt0IycnB8nJybh48SJKSkrQs2dP2NnZwdTUlGpprWCz2WRwCWjyZaJb9l1zmDZn6Orq4sCBA5g6dSrGjRsHaWlpCAsL89zDYrFonXXMBHR1dZGQkABDQ0P06NGDajntprq6Gl26dBE43qNHj1ZmvlQyaNAg3Lp1S2CAKS8vj1YBXqAp6JWYmIiSkhK+wRoWi4XLly9ToIw/ZWVl2LJlCy5fviwwuATQz2eOaR3O3r9/j1WrViEnJ6fN++gUYGKxWPD19YWZmRkuXryIt2/fgsPhQFFREfr6+mRDKCppGShiYuDo9u3b7bqvI/3bOgNMDOPevXtwcXHB8ePHSV8BgiAQEhKCAwcOoKamBmZmZtSKbEbXrl1RW1sLoMlXp7q6GpMnTybH379/j549e1IlD0CTmbCDgwPPi/G3337Djh07Wt1LEATKysposSCRlJQkDTa5XeWYUCvMDw6HQ3YZaWho4Bmj0yn6wYMHoaqqitDQUJ7nduHChbC0tISdnR327t1LZuxRQVVVFT59+kRe//HHH9DV1eXrTcPhcJCenk56ltARZWVlODo6ChyXkJDAmDFjOlBR0zxQX19PXsfHx2PcuHEYMmQI33uvX7+OW7dudaTEb5Kbm4vk5GSkpqbi06dPEBMTg56eHkxNTTF58uRWQQW60NjYiFu3bqG4uLhVZhsXOr0DmTBnNIf73vvy5Qvi4+P53tMZYPrf6devH7KysqCnp4dhw4ZBRkaG798c3bpCDRo0CElJSbCzs2t1EMThcJCcnIz+/ftTpK41GzduhIuLC7Zs2YJFixahd+/eAJrek8HBwUhKSsKJEydQV1fH8z2q1h0HDx7EoUOH0KVLF/Tt25cR5XA7duxAamoqtLS0MHToUEZoBpjX4Wz37t3IycmBnp4exMXFkZSUBGdnZ5SUlODKlSuor6/HiRMnqJbJwx9//AEtLS2MGzcO48aNo1rO/wSdm1PZ29vTrplIZ4CJYRw5cgRLlizB/PnzERgYiMLCQmzYsAEPHz7EgAEDsGnTpg7fbLXFkCFDEB0dDU1NTRw+fBhCQkJkneuDBw8QERFBuV5VVVVYW1sjOzsbAFBcXAxZWVm+wRphYWHIyMjgl19+6WiZbcKtr2VS6mxZWRl8fHyQlZUlsIsE3cyn8/Ly4OnpyTco2rNnT1hbW+PQoUMUKPuburo6WFtbo7KyEkDTb7hz506BXjoEQdCi88+ePXtgYmKCwYMHk9ffgqqNbkFBAWbMmMGzKfH29oa3t7fA74wYMaIjpLUbGxsbCAkJQUtLC56enjA2NqalGXJz/vrrL7i6uuLTp08CS4JZLBatAkxMmDOak5aWRrWE/xMcO3aM/G9Bp89UtkgXhKOjI5YvXw47OzvY2dlBWVkZYmJiePPmDSIjI3H37l34+flRLZPE3d0dDQ0NiIiIQGRkJCQlJSEiIoLy8nIATe+/lob2VK47zpw5g1GjRuHEiRNtZorRiYyMDJiZmfE9lKUzTOtwlp2djRkzZsDPzw9VVVVITk6GkZERRo0ahfz8fFhYWODq1asYPXo01VJJHBwcIC8vj5kzZ8LU1JRWwee2YFpzKn7eo42Njfj06RMuX74MDoeDjRs3dqimzgATw5g0aRICAwPh5uYGMzMzfPjwAaKiovDy8oKzszPt2mOvXr0aLi4usLCwAEEQcHJygqKiIrKzs+Hs7AwZGZkOb53Ij8WLF2Px4sUAAD09PXh5efEtN6MrTEyd/e2335CSkoKRI0dCVVWVthkTzRESEkJVVZXA8dra2lYZWB2NtLQ0/Pz88ODBAxAEgUOHDsHQ0JBvCY6QkBBkZWVhYmJCgVJeAgICMGDAADLAFBAQ8M3vUBVgUlZWxsaNG5GTkwOCIHD27FmMHj2aLNtrDvc3njt3bofrbIuVK1di5syZ6NOnD9VS2s3vv/+O8vJyuLu7M+aknAlzRnPo6Hv3I0L3FumCmDZtGt6/f499+/bxtEonCAJsNhurVq0S2M2WCrS1tRnVxbGkpASLFi1iTHAJaDrUolNQo70wrcNZeXk5eSAvKSkJRUVFPHjwAKNGjYKysjIsLCxw+fJlWmWXbt++ncwSPH78OAYNGoRZs2Zh+vTpZDYh3QgODoafnx+ZcZWSkoLMzEye5lRHjx6l1e9sY2MjcGzx4sWYO3cubty4gfHjx3eYJnpFIzppF6NHj0ZYWBhcXFzI8ji6nY5zGTRoEBITE3Hz5k3IycmR7ej79+8PDw8PWFpa0m6Dk56eTrWE74aJqbM3btyAlZUVbbrNtAdNTU2Eh4fDwsKiVYZbWVkZIiMjoampSZG6v9HR0SFr24uKitr0B6ILaWlpPK2t6Z5JYW5uDnNzcwBNZvXNTSKZALdrS0NDAx4+fIiioiJoaWlBXFwcjY2NkJKSolhha3Jzc+Hi4gIPDw+qpbQbpswZzeFmfFy6dAmFhYVgs9mQl5eHvr4+rK2taXeQ9S1qa2tRWloKNptNemB18s9xdnaGubk5rl+/jqKiIjQ2NkJRURHa2to8czgdYFpWTb9+/fDu3TuqZXwXI0aMQG5uLuMM6y0sLLBz504MHToUurq6AJoOrUpKSnDkyBFkZGTwBFGpplu3bjyl+SoqKnj69Cl53a9fP0RERFAhTSDcdVJpaSmSkpKQlJSEnTt3YteuXdDS0sKsWbNgaGhIq+zpuLg4TJkyhSxbT0lJgbi4OHbv3g0JCQnU1tYiOTmZVgGmtmCz2ZgzZw6OHj2KFStWdNi/29lFjua0ZYD96tUrBAcHo3///nBwcOApGRAUkacagiDw7t07yMrK0spbpyXl5eW4dOkSiouLBZosuru7U6CMP5MmTYK2tjaZOjt27FiEh4fzpM7a2NjQakLU1tbGsmXL2oy8041Hjx7B1tYWoqKimD59OlRUVCAmJobXr18jNTUVlZWVOHXqFIYPH0611G9C53ryH4WqqioICwvTKpW6ORcvXsTWrVtRXFwMAAgKCkJdXR2WLVuGpUuX0irjEQDGjRsHT09P2mWDtQXT5oza2lq4uLjgzp07kJSUhIqKChoaGlBYWIgvX75AQ0MDISEhtH5/tyQhIQFr1qyBvLw8REVFcezYMVq0H8/Pz0daWhq+fPnCt6w9OzsbiYmJFCr8v8HDhw/x008/US0DAJCcnIxNmzYhKCiINnPCt/jrr7/g5OSEhQsXYtq0aZCRkeGbNUa3OYMJHc6a4+bmhtLSUpw6dQpsNhu+vr7IyMhASkoKhISEsGPHDiQmJuL69etUS22TwsJCpKSk4NKlS7h//z7ExcVx9+5dqmWRjBw5Ehs2bIClpSUaGhowbtw4aGhokIf0sbGx+O2333D//n2KlbafY8eO4fDhwx3aLZNZx1D/B9m0adM3W9A/f/6cp7aSxWLRNsBUUlICfX19BAUF0fa0/+bNm3BzcyNfMvygW4CJiamzJiYmSE1NZVSAadiwYTh58iR27NiB6Ohonudj6NCh2L9/Py0XhUyrJ+fy7t075OXlkeWqycnJOHHiBERERODo6EiL0j4uqampePr0KVnyu2XLFkRFRUFISAiWlpbYsGEDrcpAs7Oz4enpiWHDhsHe3p70vJKXl0ffvn3h5+eH3r1706rcRVdXFxcvXmRUgIlpc8bhw4dx584drFmzBvb29mS2Ul1dHcLCwrBr1y4EBAQwKotMVlYWY8aMQVhYGC5duoTc3FzKA0zp6elYsmQJeYDVfJ3H3ZwPGDCAMn2COHv2bLvuo4sPWl1dHQICAnDp0iWBgbyqqiradDjLzs5Gt27dYGVlBQUFBcjIyPANcERGRlKgjj/Lli0DQRDYtWsXdu3axfceuvlpAszocNac+fPnw9nZGQYGBkhMTMTs2bMREhICBwcHKCsrIzExEcbGxlTLbJOGhgY8e/YML1++RH5+PgiCgIKCAtWyeGBCc6qWvHr1iu/ndXV1+OuvvxAUFIShQ4d2qKbOABPNCQ0NpVrCvw7dk+b27t0LMTExbN68GUOGDGGEzwcTU2dXrlyJhQsXYs6cOdDT04OsrCzfUy+6BUs1NTURHR2N0tJSFBYWgsPhQEFBAb169aJaGl+YWE8ONHXMdHJyIktzHj9+jJUrV6Jr167o2rUrvLy8wGazYWBgQLVUnD17FmvXrsWgQYOwdOlSZGZmIiIiAiNGjICSkhIiIiKgqKhIlqXRgcOHD2PQoEEIDw9HVVUVGWAaOHAgoqOjMW/ePISEhNAqwOTo6Ah3d3e4ublh6tSpkJaW5rv5ooNpfXOYNGckJydj9uzZcHZ25vmczWbDxcUFz549Q2JiIq0CTFu3bsWUKVN4NgHNmTBhAtmCnNtkhGqOHz+O7t27Y+vWrSAIAkuWLEFERARqa2sRFhaGGzduCNysU8natWv5Hnq2fHfTJcB08OBBHD9+HDIyMujevTtevXqF4cOHo6SkBO/fv4e4uDjWrFlDtUwSbvaJvLw8CIIgs0vpjKamJqN8rlrClA5nWlpaCAwMRHBwMLp37w4pKSls3boVPj4+yMnJgYaGBq2eZS4cDgc3btxAcnIy0tLSUFFRAVlZWdL4e9iwYVRL5IEJzalaMm3aNIF/g9zMvI4u9+wMMNEcbnewlnA4HJ6F9cePHyErK0ubVE4m8/jxY7i7u9NmgdQeRo4ciYSEBFhZWYHNZmPAgAHIyMggn5Pnz5/TLkPl1q1bePDgAWprawWebNE5G6+hoQEcDgdqamoQExNr9TdJF5haT37w4EFISUnh999/B9CUlkwQBMLDw9GvXz/Mnz8fJ06coEWAKSwsDBoaGuSBQEJCAkRERBAQEIAePXpAXFwcZ8+epVWA6eHDh1i2bBnfADqbzYaZmVm7Ovl1JLNnzwbQ5CuWmZnZapwgCLBYLNpkI7SECXPG+/fv2/Rr09DQQHJycgcq+jaxsbFQVVUVGGCiI0+ePIGTkxMMDAzA4XAgLi6OkpISGBgYYNy4cbCysoK/vz8OHDhAtVQejh8/3uozbreilJQUvH//nlaaU1NToampiZCQEJSWlkJHRwc7duyAuro6Lly4gBUrVqBbt25UyyRhogcoU3yuoqKioK2tTRp3t2VB0hw6rUG1tbV5qj8sLS0xa9Ys1NbWonv37hQq48/GjRtx6dIllJeXQ1xcHPr6+pg1axYmTpxIu3cfF6Y0p2qOu7s73wCTkJAQevXqBUNDQ/To0aNDNXUGmBhISEgIAgICEBkZSXYt2rNnD65cuQJvb29GBUboSLdu3RjVwQNgZursrl27ICEhgVWrVkFNTY1W5UNtkZubi61bt5JBsaCgIHA4HKxbtw7e3t6YOnUqxQp5efv2LRwcHAA0bXCzs7MxevRoMuA4aNCgdi+0OpJ79+7Bzc2NLB/KzMxE//79ybKRqVOn0uaE/8WLF1i7di3YbDYIgsD169ehoaFBvtBHjRqFpKQkakW24FuLu6qqKtqdSvv4+NBOU3tg0pwhIyPDk/3akidPntCuPEBOTg4fP36kWsZ3UV9fT3bsExISQt++ffH48WMYGBhASEgIM2bMQEhICMUqW9NWEM/S0hJOTk4ICwvDli1bOlCVYN6/fw8HBweIioqiT58+kJWVxd27d6Gurg5jY2OYmpoiMjKSbNjABBoaGhhntE8Hn6tNmzbBz8+PDDC1x4KEykPOuro6Ht+quro6gfeKi4uT43TyuoqLi8P48eNhamoKIyMj2h1084OJzamWLFnS5jiHw0F+fj7fTsf/FcyaoTpBXFwcfH19oampyfOCmTp1KgoLC+Ht7Q1JSUlanOrzQ0hICAoKChAXF6daikCmTZuG+Ph4zJ07lzFBDyamzr59+xZeXl6YN28e1VLaTV5eHhwdHSEtLQ0bGxvSB0FSUhIEQWDFihWQlJSkVYkOE+vJgaZFNPdE7u3bt8jPz+cp2yEIgjZ/n9xsFKAphbq8vJznGSgrK6PVKTnQlIly9uxZMvjYnKqqKkRHR9Ou8+CcOXOolvDdMG3OMDAwQFRUFEaPHo3p06fzjJ0/fx4xMTG0OtEHmsqt165di3fv3mHSpEmQlpbmOzfQ5TcGmkqgCgsLyeuWZe0SEhIoLS2lQtr/xLRp07B3717aBJjYbDbExMTIaxUVFTx58oS81tTUpF3W0B9//NGmZ1ROTg5u3bpFoUJemOJzFRoaCnV1dZ5rOjNy5Ejs3LkTM2fOBNDUre9bByx087rKyMigZSn4t+jZsyemTZvG81mvXr1oVRrenCFDhsDPz0+gpcGZM2fg6+uLO3fudJimzgATwwgNDeUpd+EyZcoUTJkyBQsWLMCxY8doG2CSlpam3cu8JTo6OkhLS4O5uTkMDAwEmizSbZHNtNRZZWVlfP36lWoZ38W+ffvQu3dvxMfHo66ujvS14pYozp07F8eOHaPVRoaJ9eRA00bgzp07sLS0xLlz58BischWwhwOBykpKZQb9XIZMGAAkpKSYGJigpMnT4LFYpG/8YcPHxAdHY0hQ4ZQrJKXJUuWwN7eHtbW1tDX1weLxUJOTg4ePnyI8PBwfPr0iSxPpBsVFRWoqanhu5G5ceMGrbrfMW3OWLp0KW7cuIGVK1di37596NevHwDg5cuXKCwshIqKyjdPSzsarh5uG+yWmzA6lk7q6Ojg9OnTGDZsGHR1daGhoYFDhw7hxYsXUFZWxvnz5yEnJ0e1zO/m3bt3tHqvDxgwADdv3oSVlRUAQE1NDQ8fPiTHS0tL+XYKpoq4uDhs2LCBx/C9eYaNqKgoJk6cSJU8vjDF56ql5Qj3mq6WI2ZmZmS2Ffea7hm8165dw+DBgyErKwugKeO1eUBXEHR5/3G5f/8+8vLyyCZEgYGBCAwMhIiICJycnCi3OygqKkJWVhZ5TRAEsrOzUV1d3epeDoeD8+fPd/iz0xlgYhhv375tM+PDwMCA0k2BICf7b8FdxNIB7sRRVFSEx48f872Hjt5A9+/fR2BgIDZu3EhO7n5+figsLISXlxfPyQ0dWLhwIX7//Xdoa2vTqotSW9y5cweurq6QlJREWVkZz1iPHj1gY2ODw4cPU6SOP0ysJwcAGxsbbNmyBY8ePcLLly8xcOBAaGlp4enTp1i9ejWePHlCG++HpUuXwtXVFdra2iAIAiYmJlBXV8edO3fg5OQEERER2pTzcdHQ0MDRo0exadMm7Nu3DwBw6NAhAEDv3r2xb98+2gUe379/j1WrViEnJ6fN++gUYGLanCElJYXo6GgcP34caWlpuHXrFgiCgJKSEn755Rf88ssvtMvG8/X1pVrCd7No0SJkZWXBw8MD2dnZsLKyQnBwMGbOnAk2m42vX79i1apVVMtsxbVr1/h+XldXh7y8PJw8eZJW84a5uTl+/fVXfP36FTt37oS+vj5iY2Oxe/duqKurIyQkhFbB/1OnTkFeXh6HDx9GQ0MD2QGYIAgEBwcjMjKS8s1tS5jmc9UcOluOtJzX6LLeaYsFCxbAz8+PzLpasGBBm4ENOgb/MzMzsWjRIigrK8PGxgY5OTnYtWsXFBUV0atXL+zevRtSUlKwtLSkTGOvXr1w8uRJvH79GkDTnjQuLg5xcXECv+Pk5NQx4v4/nQEmhsE9HRBEQUEBpf5BbTnZtwWdJhe6p83yIycnB/Pnz4eYmBjKy8vJAFOvXr2QmJgIS0tLREREYNCgQRQr/Zvbt2+DzWbDysoKcnJykJGR4esrQKd2vBwOB127dhU43tjY2GadPBUwsZ4cAObOnQsJCQkkJydj1KhRcHd3B9C0IKmqqsKWLVswa9YsilU2oaWlhbi4OKSnp0NOTo5MrZaTk8OMGTPg6OiIwYMHU6yyNRMnTsSlS5eQl5eHN2/egCAIKCoq4qeffqKlx8fu3buRk5MDPT09iIuLIykpCc7OzigpKcGVK1dQX1+PEydOUC2TBybOGd26dcOKFSuwYsUKqqW0C675O5OQlpZGQkIC0tPTSa+2qKgoHDhwABUVFZgyZQqZdUMn2towEgSB3r17Y+3atR2sSjCWlpZ4//49QkNDISoqCl1dXZiampJm5d27d8fKlSspVvk3r1+/hpubG/m+6Nq1Kx48eIBp06bh119/xYsXL3D06FEEBgZSrPRvmOpzxXTLETri6+sLDQ0N8pqJvonHjx+HmpoaTp48CaCpS7CwsDAZ/PXw8EBERASlASZRUVEEBQWhoKAABEHA0dERrq6ufLMbhYSEICsr2+EZ/yyC7j3jO+Fh48aNOHfuHA4ePIiff/6ZZywnJwcLFiyAiYkJfHx8KNF38ODBfzSZ0LWulSk4OjqitLQUoaGhrfx0ysrKYGdnB2Vl5VallVSip6fXrvvoVFJpa2sLYWFhhIWFoaysDNra2jh58iS0tbVRV1cHS0tLdO3aFeHh4VRL7aSTH45JkyZBW1sbfn5+qKqqwtixYxEeHo5Ro0YhPz8fFhYWsLGxoVVHxM45o+N4+vQpMjIyUFhYCAcHB3Tp0gXPnj1rtVbq5J8THx/P93Nut6Jx48bRxhsPaPKTk5SUbGWMnZOTg/LycmhqakJaWppChbyMHDkSGzduJIMx5ubmmDRpEjmnnT59GseOHcPVq1eplMnD6NGjsWbNGjIgamtri2HDhmH9+vUAgJiYGOzatYtWvlEAMGvWLMjLywtcFy9YsAAVFRWIiYnpYGVNcMuzvhc6Hcp+i8bGRhQVFXWo+fS30NTUxPLly2Fvbw8A+Pnnn9GnTx/yOYiKioKvry9yc3MpVMlLfHw8xo4dCyUlJQDAly9f8PTpU4iLi1N2uEm/I8pO2sTT0xNZWVlwdXWFqqoqVFVVISYmhtevX+PZs2eQl5endHFNN2+G/4X09HRcunQJhYWFYLPZkJeXh4GBAXR0dKiW1oq8vDx4enryNWvu2bMnrK2tyfIXukCnwFF7cXV1hZubGzw8PEiPnTdv3qCsrAxBQUF4+vQpDh48SKnGPXv2wMTEhHyptKfVPIvFotWmvDl03DQysd2xt7f3d3+HxWJRdljBj/LycrL8RlJSEoqKinjw4AFGjRoFZWVlspyETs8yE+aMHwEfHx+EhYWRJRdTp05FZWUlli5dCl1dXezfv59W3ZWApk5y0dHRSE9PR1FREXx8fMjMvPnz59Mq8MGFadlis2bNgpWVFVxdXXk+p1MZX3OUlZXx/Plz8prbXbA5nz9/7mhZbcI0nysudLccYVpnTH58y3w6Pj6+w82nvwWLxSIbAzx58gQfP37kaTBSU1NDi0ZVFRUVOHbsGHJzc3kOqM6ePYvt27ejqqoKQJOf6Y4dO8jqhY6iM8DEMKSlpXHu3DkEBAQgIyMDf/zxBxobG6GgoAAnJycsXLiQ0o5Q/zTVn04LPw6HAy8vL6SmpoIgCEhJSaGxsRHXrl1DbGwsjI2NsXfvXlqlfQoJCZGTCT9qa2vR0NDQgYp+THR0dLB9+3b4+PggLS0NALBlyxYQBAFxcXGsW7eO8nTqgIAADBgwgAwwBQQEfPM7dA0w0XXTyLR2xwD/zIPmmqWkpEAQBLl5ERcXp11L4W7duqG+vp68btl5q1+/fqSJNl1gwpzBdE6fPo3Q0FDY29vD2NgYdnZ2AJqCCNzOfSdOnMCiRYsoVvo31dXVcHZ2xv379yElJYXPnz+jtrYW79+/R2BgIC5cuIBTp05RXr5cVFT0j76noKDwLyv5Z3z8+JGWgTpBGBgYIDg4GPLy8pg7dy7Gjh0LHx8fZGVlQV1dHTExMbTK9gCY53PFhe6WI0w8hGWC+fS3UFNTQ3p6OqysrBAdHQ0WiwV9fX0ATZlB8fHxGDBgAKUaq6urMXfuXLx8+RK9evUiMzTv37+PdevWgcPhwMbGBgMGDMDZs2cxf/58nDt3jsc0/r+mM8DEQLg143SqG+fSnjaaLaFbW82goCCkpKTAzs4OixYtgoyMDICmhcrRo0cRERGB0NBQODo6Uqz0bzQ1NREeHg4LCwtSL5eysjJERkZCU1OTInU/FnPmzIGRkRGuX7+Ot2/fkr41EydOJL00qCQtLY1nQc3d1DINOm8amdbuGGhqAtCcly9fwt7eHjY2NnB2diafmYqKCoSGhiI4OJh2mTXczmtWVlZgs9kYMGAAMjIyyC5Az58/p11QDKD/nPG9lJeX00p3ZGQk9PX1sX79eh4jdWlpaWzevBkVFRVISEigVYDJ398feXl58Pf3h6amJiZMmACgyceSIAh4e3vD398fW7dupVSnnp4eo301dXV1kZCQAENDQ1o9s4JYuHAh7ty5A19fX8yZMwdz5szB6dOnsXDhQgBNG3a6mT0zzeeKi46ODsLDw6Gtrc3XcuTUqVMwMTGhSF3bfPz4Ee/evYOamhrExMQgIiJCedc7gBnm099iwYIFWLFiBcaMGYOqqipoaWlh+PDhePDgARYtWoSysjLKG3OcPHkSb968ISsWuBw+fBgEQcDBwQHr1q0DAFhYWGDmzJkICAjAtm3bOkxjpwfTDwSHwyHbNBsbG1OiYe3atf9oMUKnLjAmJiZQU1ODv78/3/HFixcjPz8fiYmJHaxMMI8ePYKtrS1ERUUxffp0qKiokKWTqampqKysxKlTpxjTrY0plJWVQUREhLYdUpjMzJkzoaKigkOHDrXyrgGA5cuX4/Hjx0hJSaFYKTOZO3cuFBQUsHv3br7j69evx19//YUzZ850sDLB/PHHH2Tnw8TERLx79w5mZmYYM2YMlJWVkZiYCGNjY4H/m+gAU+cMgiCQlZWFuLg4ZGRk4N69e1RLIhk+fDjWrVuHuXPn8p0roqOjsX37dlpp1tXVhZ6eHn799Ve+mn///XdcuHCB8iyGXbt28azpCIJAVFQUhISEyG6ZHA4Hb9++RWJiIoSFhbFw4ULabBr37t2L0NBQsFgsDBs2DDIyMnw9oug2Zzx48IBcr1VWViIkJIQ0f+dn5EsHWvpc3b59GxUVFbTzueJSWloKc3NzvH//XqDlSFRUFHr16kW1VJLc3Fxs3bqVPJQPCgoCh8PBunXr4O3tjalTp1KssCmLic7m0+3h1q1bSE1NhZycHObNmwdJSUm8evUKmzZtwoIFCyj39Zs1axaGDh3Ks3euqamBlpYWGhoakJKSwvO7+vv7Iy4uDleuXOkwjZ0ZTAzj8+fP8PX1xaVLl/DlyxeBJRlUnR7R7WTln5Cfn09mS/Bj0qRJlNZl82PYsGE4efIkduzYgejoaJ7nYujQodi/f39ncOlf4vXr1zh48CAyMjLw5csXAE0+V1OnToWHhwctF1KNjY24desWiouLweFw+N5DZTtefrx+/Rq2trYCx7W1tSnffLXkzZs3bf7GY8eO7WBFgsnLyyNbCfNj6NChOH/+fAcq+jZaWloIDAxEcHAwunfvDikpKWzduhU+Pj7IycmBhoYG1qxZQ7XMVjBxzuCSn5+PuLg4nD17Fh8+fABBELTT2717d5SUlAgcf/PmDe0CesXFxW12de3bty+Ki4s7UBF/WmaeHDp0CJKSkoiOjm618fbw8IC1tTUKCws7UmKbHDt2jPzv27dv872HxWLRLsDUfL3WrVs3RjTCadl5lE7vO37Q3XKkJXl5eXB0dIS0tDSZxQ00+RESBIEVK1ZAUlISkyZNolSngoICWSLr6+tLHgAxiXHjxmHcuHE8n/Xr14822er5+fmtLBdycnJQX18PJSWlVkE7BQWFDn+fdAaYGMaePXsQHx+PIUOGQFJSErdv34axsTGKi4tx7949iIiI/BBBHirp3r17m74DBQUFbbadpgpNTU1ER0ejtLQUhYWF4HA4UFBQoNXpC9N5/Pgx7O3tUV1dDW1tbaiqqqKhoQGvX79GREQE0tPTERkZCTk5Oaqlkvz1119wdXXFp0+fBAakWSwW7QJMTNo0FhQUYPny5TzGps3hekjRpWwEAHr37o1bt24JDOKlp6dDUVGxg1V9G21tbTLLA2gqz5g1axZqa2vRvXt3CpXxh4lzxtevX5Gamoq4uDhyU04QBDQ0NGBra0uLU/Lm/Pzzz4iIiIC5uXkr89UHDx4gPDwcRkZGFKnjj7y8PI9/WEvu3LlDq2eCS3h4OJycnPiuK3r06AFra2scO3aM7CBGNS0NspnAy5cvkZ2djY8fP/J9Z9PNM5EgCMTGxiIrK6vNdQYdu5s1txyprq7G06dPISEhQVnnrbbYt28fevfujfj4eNTV1ZF+g9zS8blz5+LYsWOUB5iaw7SmAM3JyMggGzCsWLECXbp0QXZ2NubMmUOagFMFQRCt/s5u3rwJAGS5dXPKy8s73E+sM8DEMDIyMjBlyhQcPXoUpaWlmDBhAtzc3DBkyBDk5ubCycnpH5sy/hdwjdG+BZ18YiZPnozTp09DX1+/lev+n3/+iYiICNotVpsjLS1NuxPmH4Xdu3dDSEgIZ86cabUAuX//PlxcXLB79274+flRpLA1v//+O8rLy+Hu7o6hQ4dCVFSUakntgkmbRl9fXzx69AhmZmaM+Y3Nzc2xb98+rF27Fra2tlBWVgZBEHj16hVOnDiBGzduYOPGjVTLbBdsNptWjSKaw6Q54/79+4iNjUVKSgqqqqpAEAS6deuGqqoqbN26FZaWllRL5IunpyeuXbsGU1NTjBo1CiwWC6dOnUJQUBBu3LgBKSkpLF26lGqZPEyfPh2BgYHQ1tYm/RFZLBY4HA5CQkKQmJhI+u7Qia9fv7bZzKCtzPpOvk1ycjJWr17dZlMWugWY9u3bh2PHjkFUVBQyMjK08AISBN07b7XFnTt34OrqCklJSR6vOaApuGtjY0O5N1BLmLgHbGhogKenJ48mFxcXvH79Glu2bEF8fDwCAwMpPdDq169fK+/iy5cvg8ViYcqUKa3uv3r1Kvr169dB6proDDAxjOLiYrL2U1paGnJycsjNzcWQIUOgoaEBCwsLJCQkYP78+RQrbUJGRqaVJ1NDQwOKi4vx4cMHqKqq0i6N1tPTE1lZWbC1tYWWlhbU1NQAAC9evMDt27chLS0NT09PSjXa2NhgyZIlZF2zjY1Nu75HxxMkQdTW1qK0tBRsNhuysrJUywHQFGD85Zdf+J5ujRgxAg4ODjh16hQFygSTm5sLFxcXRqTYN4dJm8bs7GzMmzePNqf27WHhwoUoLCxEbGwszp07xzMmJCSEhQsXYu7cuRSp+3Gg+5xRWlqKhIQExMXF4fnz5yAIArKyspg5cyaMjY0hLy8PIyMjWh9a9OnTB3FxcdizZw/S0tJAEATS0tIgISEBQ0NDeHl50S4bb9GiRcjNzYWHhwe6du0KFouF9evXo7y8HNXV1dDQ0KCVKTmXUaNGITQ0FMbGxlBVVeUZe/jwIUJCQvieoFOFIC9NLiwWC2w2GzIyMhgxYgT69+/fQcr4c/DgQfTu3RtbtmxB3759aR2s4XL27FmMHTsWR44cgaSkJNVyBMKEzlttweFw2qyeaGxs/MedvP8rmLgHDAgIwOXLl+Ht7Q09PT0YGhoCaOrw6OXlhb179+LIkSOUluNPnz4d+/btw4QJEzBhwgRERETgzZs36N27NyZPnsxzb0xMDG7dugUvL68O1dgZYGIYXbp04fljbdmmedCgQa02C1QSHR0tcCwnJwfu7u60a9EsJyeH6Oho7NmzB1euXMGtW7cANP32JiYmWLFiBeTl5SnV+PHjR9TW1vJc/2hcvHgRa9asgby8PERFRXHs2DHKzQDFxMT4GoRyoePiSkxMDL1796ZaxnfDpE2jkJAQ5W1rvxchISFs3boVTk5OyMzMREFBAYCmd4q+vj7jPBPoCt3nDB0dHTQ0NKBv375wcnKCvr4+Ro8eTa4z6OSn0xa9e/fGjh07QBAESktLweFwIC0t3eZvTyVsNhsnTpzA2bNncfHiRbx9+xYcDgcaGhrQ19eHpaUlLTMhvby8YGtri+nTp2PChAk8mY+3bt1Cz549sWrVKqplkhw5coQsJ2mZWcV9xrmfs1gszJ49Gz4+Ph2uk8u7d++wZs2aVptEOvP582eYmppSPpd9CyZ03mqLIUOGIDU1FfPmzWs1VldXh3PnzmHIkCEUKBMME/eAZ8+ehZmZGRwdHXkyxdhsNn755Rfk5+fj8uXLlAaYHBwccPXqVXh5eYHFYoEgCLDZbPj4+JDvjZSUFISEhODevXsYMGAAHBwcOlRjZ4CJYQwdOhSXL18mT5bV1NRw9+5dcryoqIgRJx5AU7vxuXPn4sCBA3xT+qji9u3bGD58OHbv3g0Oh4OysjLS2JQuv21Lc2O6mR3/G8jKymLMmDEICwvDpUuXkJubS3mAac6cOQgJCcH06dNJE0MuFRUViIyMhLm5OUXq+KOrq4uLFy8yLhuFIAh8/foVtra2mDdvHgiCgIKCAnr27Em7TeO4ceNw7do1WFlZUS3lu1FXV4e6ujrVMn5Y6D5n1NfXQ0JCAgMGDICCggKkpKT+USdYOlBWVoYbN26gsLAQJiYmqKioQFlZGW2fbyEhIbIVPVMYPHgwYmNjceDAAWRlZeHq1asAmoyoZ82aBU9PT/Tp04dilX8THx8Pe3t7jBkzBq6urmRG+ps3bxAcHIzLly9j9+7dkJWVRVJSEkJDQzFw4EDKuuD1798fnz59ouTf/qeMGzcOubm5tC2h5XLp0iWYmpryBJdqampw/fp1AODxIxQTE4OpqSni4uI6XKcgXF1d4ebmBg8PDzKr5s2bNygrK0NQUBCePn2KgwcPUqyy/dB1D/ju3bs2SyN/+uknnD17tuME8UFUVBRBQUFISUnB3bt3ISkpiZkzZ/JkYD5+/Bh5eXkwMzPD2rVrO9xGoDPAxDDs7Ozg4eFBLlpnzJiByMhIeHl5oV+/fggJCaFdumFbKCgo4Pnz51TL4GHJkiUwNzfHqlWrICQkBBkZGaol/ZBs3boVU6ZMEXhSx039BEC+TKlGSUkJbDYb06dPx8yZM6Gurg4RERHk5+fj3LlzqKmpAdBkxs+Far8ER0dHuLu7w83NDVOnThUYKKWLMeTjx48REBCArKws0g+BS/fu3aGvrw8XFxdabRq9vb1hb2+P3377DdOmTRP4G3d0DXwn1EP3OSMpKQnnzp3D+fPncfHiRbBYLKioqGDq1KmYOnUqLY3T+RESEoK9e/eitrYWLBYLw4cPx5cvX+Dh4QFbW1ts2LCBdoGzL1++4Pnz5xgxYgSAphP90NBQiIqKYt68eaQ3E91QU1PDvn37QBAEecLPLaH88OED0tLS2u298l/j6+uLn376CYcOHeL5fNiwYfDz88PixYtx+vRpnDhxAiNGjEBFRQXi4uIoCzB5eXnB09MTP/30E6ZMmUKbQ8222LBhA+zt7bFjxw7o6+vzLYsCqH//MaHzVlvo6Ohg+/bt8PHxIf2BtmzZAoIgIC4ujnXr1tEuG+hb0HEPKCMjQ2Z08+Ovv/6iRcm4sLAwZsyYgRkzZvAdd3Nzw7JlyyibQzoDTAzDwMAAPj4+CAoKQpcuXTBmzBi4ubnh6NGjAABFRUVatmnmx5cvX3DmzBnadTmrq6ujTemNIJpvRtoL1YGOlsTGxkJVVZVRqeCbN28m/1tQ6m9QUBDPNdW/O7eLR1FRETIzM1uN06nDWUREBLZv3w4Oh4NRo0Zh4MCBkJKSQkNDA8rLy5GXl4f4+HgkJCRg06ZNtDkxNTY2BkEQCA8PJzu78IMOv/GPRn19Pa5fvw5hYWFMmDCBdtltdJ8z1NXVsWLFCqxYsQJ//PEHzp07h0uXLuHYsWMICAiArKwsWCwWysvLO0TPPyElJQW+vr4wMDCAkZERVq9eDaDJMmDy5MkIDw+Hmpoa39ISqnj58iUcHBzQs2dPJCYmIj8/H/Pnz0dDQwOEhYVx4cIFBAcHY8yYMZTqHDJkCHbu3ImZM2eSn9XW1iIwMBBmZmZQUlLiuf/WrVtYs2YNbea6u3fvks8DPyZNmoSdO3eS16NHj0ZqampHSOPLyJEjMXToULi7u0NYWBg9evRodQ+LxUJWVlbHixNAQ0MDJCUlERISgpCQEIH3Uf1MMKHz1reYM2cOjIyMcOPGDbx58wYEQUBRURETJ07k+6zQGbruAQ0MDBAeHg5jY2NyL8gNmF68eBExMTGMyFaXkJCg9N/vDDAxkJYp1Z6enrCyskJFRQX69+9Pq7p9QebTdXV1ePPmDb58+YJly5Z1sKq2cXFxQWBgIFRUVDB+/HiIiNDvzyQgIOC7v0N1oKMlcnJyjPOOolOni/bi4+NDu5N7fvzxxx/47bffMHLkSPz++++tDGS5vHr1Chs3bsSmTZvQv39/WnR5cXNzY8RvzHTq6+vh6+uL/Px8HD9+HHV1dbCxsSE3LgMHDkRwcDB69uxJsdK/YdKcoaWlBS0tLWzatAnp6ek4d+4crl27BoIgsGHDBsTExMDCwgImJia02ngFBgZi7Nix8Pf35/HMUFJSQkBAAFxcXBAVFUWrANO+fftQX19PNiqIiYlBfX09QkNDMWTIENjb2+PIkSM4ceIEpTr5dYSrqanBoUOHMHr06FYBJrrRvXt3PHv2TOD48+fPeZ7lz58/U+oltHXrVmRnZ0NWVhYqKiq0C5jzY+PGjXj58iWMjIzQr18/Wq6ZAWZ03mqLOXPmwNzcHPPmzaNNB91vwcQ94LJly3Dr1i3Y2NigX79+YLFY2LdvHz5//oxXr15BWVkZS5YsoVom7aHnLNDJN2lsbMTDhw9RWFgIERERqKio0M7cDRBsPi0sLIyBAwdi5syZtPOGycnJQVlZGX755RcICwuje/furVIMqT5BYtKmRRArV67E2rVr8e7dO0yaNEmgIStdSrcA0D6zjR9M8fcIDg6GsrIygoODIS4uLvC+fv364cSJE5gxYwZCQ0NpEWDqXGx0DIcOHUJ4eDimT58OoMmMMy8vDzY2Nhg8eDD8/Pzg7++PX3/9lWKlf8PEOYPNZpMlchUVFUhKSkJCQgJyc3ORm5sLX19f3Llzh2qZJM+fP2/TWNrQ0BC///57Byr6Nrdv34ajoyNZ/n3lyhUoKyuTFgdz5szBgQMHqJTYJvwCT3TEyMgIERERUFNTw9y5c8ngB0EQOHfuHKKjo0kPtPz8fERHR2P48OGU6b18+TKmTZuG3bt3M6I8DgDu378PFxcXrFixgmopbcKEzltt8ezZM1olELQHJu4Bu3XrhujoaAQGBuLixYtgs9l49OgRFBUVMX/+fLi6ujKmdJxKOgNMDOTs2bPYtWsXSkpKAPxd4qKiooJNmzZR2iL29OnTmDBhAhn1Z6L5dENDA3766SeqZbQJEzctLeFuypOSkpCUlNQqA4ROpVvNeffuHfLy8kiPieTkZJw4cQIiIiJwdHTkMZCkglevXqF3795kO9tXr16163tUn9Tdv38fNjY2bQaXuHA9beLj4ztAWWvq6up4DBPb2xq4o00W2+JbHmh0JCUlBaampmRJy4ULFyApKYn169dDVFQU7969w7lz52gVYALoP2e0hZSUFGxtbWFra0v6Rp0/f55qWTyIi4vjy5cvAsc/ffpEq789oKk8hGuG/eHDBzx79oxnoyUqKgoOh0OVvB+G5cuX4+HDh9i+fTv27t0LRUVFiIqKIj8/H1VVVRg5ciRWrlyJ+vp6TJ06FSIiIti9ezdlegmCwIQJExgTXAKaNuRycnJUy/gmTOi81Raampq4evUqzMzMaDefCYIJe8C5c+di4cKF0NXVBdAU/FdXV8eSJUs6Dw//BzoDTAwjOTkZa9euhYKCAjw9PaGiogKCIPDy5UtERUVh4cKFlNbt7969G+Li4uRmVV9fH+vWraON4SM/WgbFwsLCKFb0z6ioqMCJEydw5coVFBQUQEREBKqqqpg2bRrs7e1p90Ly9fWlWsJ3c+/ePTg5OUFeXh76+vp4/PgxVq5cia5du6Jr167w8vICm82m1GjRxMSExzNj2rRp7SrfojqQV15e/l3dhxQVFSkz4Bw5ciTPbzxixIhv/sYsFqtVej6VMNEDraioCL/88gsA4OvXr8jJycGkSZPIzYGysjJKS0uplNgKJswZ/Pj8+TMaGhrQs2dP8tlWVlaGh4cHTE1NUV1dTQaxqWbcuHGIjo7m6QLFpaioCOHh4dDS0qJAmWAUFRXJOTclJaVVmU5mZibty8+YQNeuXREeHo6EhARcvnwZb968QU1NDUaPHg0jIyOYmZlBSEgIFRUVcHd3x7Rp0yg9bNHR0UFGRgZt/AXbw5w5cxAVFYXZs2dT7vvSFkzovNUWurq6OHDgAKZOnYpx48bxzfqnmxUGAFRWVuLcuXMwMzMjy0+joqJQU1PT7kPF/5KHDx/ydG50cHBo5TvXyffTGWBiGMePH8eQIUMQERHR6o/SyckJlpaW2L17d5tGs/8lwsLCuHHjBvT19dGlSxcUFhaisrLymyf8VE7iTAyKtaSwsBC2trb48OEDVFVVoaWlhYaGBrx58wZ+fn44d+4cTp8+jW7dulEtlYRrPs0kDh48CCkpKbLcIjY2ljR37tevH+bPn48TJ05Qull0d3fHoEGDeK6Z4A/U0NDwXQsNNpuNxsbG/1CRYMzMzKCiosJzzYTfuDlM9EDr0aMHKioqADSZs379+pUnQPb69WvIyspSJY8vTJgzuCQkJODcuXPIyckh39kiIiLQ0NCAmZkZzMzMICwsjOXLl2PQoEHw8fGhWHETXB9KU1NTTJ48GSwWC6mpqbhw4QISEhJAEAQ8PDyolsnD9OnTcejQIRQUFODWrVtQUFDApEmT8PbtW/j4+CAzMxPe3t5Uy/whEBISIp9fQUhJSWHx4sUdJ0oAzs7O8PDwgJubGwwNDSErK0t76wBVVVVUVFTA0NAQEydOhIyMTCsfJroEPujeeastduzYAaAp+1FQ9jZdfmcuRUVFcHBwQGFhIUaOHEmWn+bm5iI+Ph5nzpxBcHAwpV3Z+vTpg8DAQFRXV6NLly4gCAI3b95sMysWQKuOhJ3w0hlgYhgvXrzAqlWr+G7EJCUlYW1tjb1791KgrAkjIyPExcUhOTkZQNNk5+3t3eZCieqTfSYGxVri5+eHiooKHD16tJVZYWpqKlatWoW9e/di48aN1Ahsg6dPnyIjIwOFhYVwcHBAly5d8OzZM/z8889US2vFvXv34ObmRr4kMzMz0b9/fwwYMAAAMHXqVOzatYtKia02Up0pvv8+LbPvuAs/JsFED7RRo0bh9OnTUFZWxtGjRyEqKgpDQ0PU19cjLS0NkZGRMDY2plomD0yYM8rKyrB06VLk5ORAREQEw4cPR+/evQE0lZc9ePAAOTk5CA8Px88//4zHjx/TKgNVTU0Np0+fxrZt2xAVFQUA5P8fPnw4fv31V56gOx1wd3cH0JSVrqmpiTVr1kBYWBiVlZW4desWFi5cSKvynE46BgsLCwDA+/fvkZGRwQjrgHXr1pH/fe7cOb730C3wIQg6Z2Ax0Xt1z549qKysRGBgII+3ma+vL8zMzLB06VLs27cPv/32G2UaPT094e3tTR4CsVgsxMXFIS4uTuB3WCxWZ4DpG3QGmBiGvLw83r9/L3C8trYWMjIyHaiIl02bNmHw4MF49uwZ6urqcO7cOYwePRrKysqUafoWTAyKtSQ7OxuOjo58O2FMnToV9+7dQ2JiIu0CTD4+PggLCyMXTVOnTkVlZSWWLl0KXV1d7N+/n1aBvIaGBtLc7+3bt8jPz4ezszM5ThAErbu+NDQ0CPT1oMPvXF5ejqKionbd27xbVCffDxM90Ly9vTF//nwsXboULBYLa9asgYyMDG7evAlPT0/07duXdgFVus8ZDQ0NcHd3x6NHj+Dp6Qk7O7tWpW+1tbU4deoU9u/fj7y8PCxYsAADBw6kSDF/Bg0ahLCwMJSXl+Pt27fgcDhQVFSkXQvs5ri7u5OBJi6DBw/GzZs3ISYmRpGq1rx8+RK3b98mrysrKwEAT548aZWp8uLFiw7V9qPBlK6vzWFi4IOJMNF79ebNm3B2dsbEiRNbjY0bNw729vaIjY2lQNnfzJgxAxMnTsTr169RV1cHR0dHuLm5Uepn/CPQGWBiGO7u7vj1118xatSoVin19+7dw8mTJyk9JWCz2bC3tyevz549C2tra1rXsjIxKNYSDofTZmtuBQUF1NTUdKCib3P69GmEhobC3t4exsbGsLOzAwCMGTMGNjY2iIyMxIkTJ7Bo0SKKlf6NiooK7ty5A0tLS5w7dw4sFos0BuRwOEhJSUHfvn2pFdmC0tJS+Pr6IisriywvagldAqY+Pj60Kbv5Hr5+/YojR44gKysLnz594hvEo7rzZEvolIHSXuTl5ZGYmIi8vDz06dOH9OwaPHgwduzYASMjI56W43SA7nPG+fPn8eeff+LIkSOkrpaIi4vDxcUFFy5cwMOHDyElJdXBKttPjx490KNHD6pltJuysjLcuHEDhYWFMDExQZcuXVBWVgZ1dXWqpZEcPXoUR48ebfU5v8583MB0J/8MpnR9bQ4TAx+ddAzcsjNB9OjRgxaHhT179iT3ULNnz4auri5GjhxJsSpm0xlgojk2NjatPhMSEsKSJUvQr18/9OvXD0JCQigoKMDjx4/Rs2dP3L59m+/3qODx48dUS/gmTAyKtcTY2BiRkZGwsLAgTfS41NXV4ezZszAyMqJIHX8iIyOhr6+P9evX87xgpKWlsXnzZlRUVCAhIYFWASYbGxts2bIFjx49wsuXLzFw4EBoaWnh6dOnWL16NZ48eUK7cqmtW7ciJSUFI0eOhKqqKm0zrJjoycXFx8cHUVFRkJOTg7KyMi39G1rC1N9bREQEI0aMaPWZsbExLcsb6D5nxMbGQkdHR2BwiUt8fDwePXqEQYMG4eLFi1iwYEEHKWwf4eHhSExMRElJCV9vNhaLhcuXL1OgTDAhISHYu3cvamtrwWKxMHz4cHz58gUeHh6wtbXFhg0bKA/W0M27qpNOOmEOgwYNQlJSEuzs7FqtizgcDpKTk3lM1ukA9/CttLQUV69eRUFBAdhsNuTl5TF58mRGHWBQSWeAiebwM2HlRllra2t5yhfk5eUBNJmndfLPYUJQrCW6urq4ceMGTExMYGdnBzU1NYiKiuLt27eIjIxEYWEhZs6cSfpScKGyhvj169d8u/5w0dbWpl2L07lz50JCQgLJyckYNWoUWd5AEASqqqqwZcsWzJo1i2KVvNy4cQNWVlaU1ri3ByZm1HC5fPkyDA0NsXfv3lYlI3TnyZMnuHTpEgoLC8lFlJ6eHu1KoLikpqbi6dOnWLp0KQBgy5YtiIqKgpCQECwtLbFhwwZaBVHpPme8ePECrq6u37wvLy8PxsbGGDNmDA4cONABytrPwYMHcejQIXTp0gV9+/YluwrSmZSUFPj6+sLAwABGRkZYvXo1gKYN2eTJkxEeHg41NTXMmzePUp1MDzCdP38eo0ePJtfHnXTSScfh6OiI5cuXw87ODnZ2dlBWVoaYmBjevHmDyMhI3L17F35+flTLbMXp06fh5+eHr1+/giAI8nM2m401a9ZQPi8zAWathP8PQrcNdif0pLmPw549e/je0/KUnGqTuu7du6OkpETg+Js3b2jV9Y4Lv240gwYNot3pOBchISEMHTqUahk/NNxuZkwLLvn5+SEoKIhnAQUA+/fvh7OzM7nppQtnz57F2rVrMWjQICxduhSZmZmIiIjAiBEjoKSkhIiICCgqKtIuu4bOc0ZdXV0rzyV+bNiwAQAQExODhoaG/1rWd3HmzBmMGjUKJ06coF2JpCACAwMxduxY+Pv782TwKikpISAgAC4uLoiKiurcyPyPbN68GQ4ODmRAupNOOuk4pk2bhvfv32Pfvn3w8vIiPycIAmw2G6tWrRLY0Y8q0tLSsHXrVgwbNgwuLi5QV1dHY2MjXrx4gZMnT2Lbtm1QUlKCjo4O1VJpDbNWw5100glfQkNDqZbw3fz888+IiIiAubl5q66IDx48QHh4OO3K+piIiYkJUlNTaVM2+yOiq6uLa9euwcrKimop7SY2NhYnTpyAnp4e3NzcoKamRi6iAgICcPLkSQwcOLDN1t4dTVhYGDQ0NMj5LiEhASIiIggICECPHj0gLi6Os2fP0i7ARGeUlJS+y3/t4cOHUFJS+g8VfT8lJSVYtGgRY4JLAPD8+XOsWrVK4LihoSFfj6NOvg9hYWHSZL+TTjrpeJydnWFubo7r16+jqKgIjY2NUFRUhLa2NqSlpamW14rjx49j6NChiIyM5MmGHTp0KIyNjWFtbY3AwMDOANM36AwwddLJD4CWlhbVEr4bT09PXLt2Daamphg1ahRYLBZOnTqFoKAg3LhxA1JSUp2njv8CK1euxMKFCzFnzhzo6elBVlaWr69HZ8vVf866devg7OyMJUuWQF9fHzIyMnx/40mTJlGgjj+nTp2ClpYWDh8+zPO5pqYmjhw5AgcHB5w+fZpWAaYXL15g7dq1YLPZIAgC169fh4aGBumJMGrUKCQlJVErkmEYGhoiKCgICxcu/GYZUUFBARISEmgXwOvXrx/evXtHtYzvQlxcHF++fBE4/unTJ1p09mQ6K1euxJ49eyAhIYFJkyZBRkaGr0de52/9zykqKoK0tHSrg0Iunz9/xpMnTzB27NgOVvZjkpGRgfT0dBQVFWHFihWQkJDAzZs3MWfOHFp1n2xO9+7dMW3aNKpltIvHjx/D09OTb6k1m83GrFmzcPDgQQqUMYvOAFMnnfxAXLt2DVeuXEFhYSGEhYXRt29fTJ06FcOHD6daWiv69OmDuLg47NmzB2lpaSAIAmlpaZCQkIChoSG8vLw6u5P8C9y6dQsPHjxAbW2twEwFqsslmc7bt29RUlKCx48f8y174nZWau6ZRzUvX77EmjVr+I6xWCwYGxtj9+7dHayqbcTExMgOfQ8ePEB5eTlP0K6srIyWZbV0xtbWFhEREZg/9hDWQwAA25lJREFUfz4OHDiAAQMG8L3vr7/+gqenJ7p169amdx4VuLq6YtOmTdDT06Plu44f48aNQ3R0NN/fsqioCOHh4Yw8OKIbx48fR01NDTZv3izwHrp0UWUq+vr68PPzE1jqdOHCBfj4+ODu3bsdrOzHoqGhAZ6enkhLSyM/c3FxwevXr7FlyxbEx8cjMDCQdhl7FRUVOHr0KK5cuYJ3797h6NGjEBcXR2hoKJYtW0a7zsvCwsKoq6sTOP7169cOVMNcOgNMnVBKbW0tSktLwWazISsrS7UcxvL161d4eHjg2rVrIAgCEhIS4HA4SEtLQ1BQECwsLLB161aqZbaid+/e2LFjBwiCQGlpKTgcDqSlpWll0st0du3aBQkJCaxatQpqamqdv+1/wLZt21BVVYX58+ejX79+jPBikpCQaLM9cFlZGe1O9QcMGICkpCSYmJjg5MmTYLFYMDQ0BAB8+PAB0dHRGDJkCMUqmYW0tDQOHjwINzc3mJmZYfz48dDU1ESvXr0ANDUaycnJwR9//IHu3bsjMDCQbDRCF7Kzs9GtWzdYWVlBQUFBYJZKZGQkBer4s2zZMlhbW8PU1BSTJ08Gi8VCamoqLly4gISEBBAEwXiDbTqgqalJeSe+72Hw4MHf1MtmsyEjI4MRI0bAw8Ojw7tw5efnIyYmhrwmCAJJSUl4+vRpq3s5HA4yMzNpm1nDJAICAnD58mV4e3tDT0+PfPcZGBjAy8sLe/fuxZEjRwQeHFFBSUkJbGxsUFRUhP79+5OBm/LycqSmpiI7O5tsaEAXNDQ0EBUVhblz57Y6sKqoqEBUVBQ0NDSoEccgWERLd89OOulAEhISsGbNGsjLy0NUVBTHjh2jXTS7JXQMiv3+++84efIknJ2d4ezsjN69ewNoOgkNDAxEREQEVq1ahfnz51OstDWfP39GdnY2T9aVtrY27Ta3TGXEiBHw8vKCo6Mj1VJ+WEaOHInFixe3qxsXXViyZAlycnIQExPTylMnPz8flpaWGDNmDPz9/SlS2Jo//vgDrq6uqK2tBUEQMDExwZ49e3Dnzh04OTlBREQEJ0+e7Fz8/QOKi4uxe/duXLx4EdXV1TxjXbt2xdSpU7FixQrIyMhQpFAwenp67bqPbk1Tnjx5gm3btuH27ds8nw8fPhy//vorRowYQZGyTqjC398fYWFhqKysxMSJE8mN95s3b3Dt2jWIiopCV1cXlZWVyMnJAYvFQnR0dIcGmQiCgJWVFR48eACgKQOsra2ksLAwvLy8aLn+ZBJGRkbQ1NTEjh07UFZWBm1tbZw8eRLa2toAgI0bNyI7OxuXLl2iWOnfbNiwAUlJSTh16hTk5eUxYcIEUnNubi5cXV0xYcIE7N27l2qpJHfu3IGDgwN69uwJW1tb9OvXD0BTiX5kZCTKy8sREhKC0aNHU6yU3tD/mLWTHxpZWVmMGTMGYWFhuHTpEnJzc2kfYLp48SLtgmLJyckwMzNrdXKhoKCAjRs3oqysDFFRUbR7wQcEBODIkSPkhpGLlJQU1q9fD1NTUwrVCaauro4MgJWVlSE5ORnCwsIwMTGhXXqysrJyZ0rvf0yvXr0Yd0K7bNkyWFpaYsaMGZg+fTrPIiolJQUsFgvLli2jWCUvWlpaiIuLQ3p6OuTk5EhPBzk5OcyYMQOOjo4YPHgwxSqZiaysLHx9fbFlyxb89ddf+PDhA4CmLNOhQ4fSOuBPt8BRe3jz5g0GDRqEsLAwlJeX4+3bt+BwOFBUVCSzxzr596ivr0dubi4KCwvBZrMhJycHDQ0NvpluVCIkJAQOh4OYmBgMGzaMZ+zFixews7PD0KFDsWDBAnz69Am2trbw9/fHvn37Okwji8XCyZMnUVFRAYIgYGBggHXr1kFfX7/VvcLCwmQDhk7+N969e4dRo0YJHP/pp59w9uzZjhPUDjIyMmBnZ4dhw4a1ypjW0NDAvHnzeLLh6MDo0aPh7++PLVu24MCBA2RGIUEQkJOTw4EDBzqDS+2gM8D0g0G37JqtW7diypQpmDx5Mt/xCRMmYMKECQBApnvSHToGxSoqKtr0nhg7diyuXLnSgYq+TXR0NPbs2YORI0fC3t4eqqqqaGxsxKtXrxAaGoq1a9eie/fumDJlCtVSSSorK7Fy5UqUl5cjKioKVVVVMDc3x7t370AQBI4cOYLw8HBaeUctXLgQv//+O7S1tRnjT8I07OzscOrUKUybNg19+vShWk676N+/P8LCwrBt2zbExcXxjGloaGD9+vUC/XioRE1NrVU6vaKiInx9fSlS1DZMKHlpqWXkyJGU/fv/V5g3bx7mzJmDFStWoEePHqRRfSf/Pmlpadi8eTOKi4vJgywWiwUZGRls2bKFb2CEKqKjo+Hg4NAquAQA6urqmDdvHk6fPo0FCxagV69esLS0RHBwcIfrlJSUhKSkJICmLsb9+/dv1RHs69evjDt4oTMyMjIoKCgQOP7XX3/Rrivb58+f2+w6Kisri4qKig5U9G2qqqqgq6sLHR0dPHz4kPzNlZSUMGzYsE6biXbSGWD6waBbdk1sbCxUVVUFBpjoCBODYhoaGrh8+TLmzZvHd/zmzZu0Cy6EhIRgzJgxCA0N5TlF1NDQwIwZMzBv3jwcPnyYVgGm/fv3IysrC05OTgCanu+ioiJ4enpi2LBh8Pb2xoEDB2jVXvr27dtgs9mwsrKCnJwcZGRk+HoE0cmfhGnU1NSgoaEBRkZGGD58uMDfmG6m2T/99BMiIyNRUlKCwsJCEAQBJSUlWpZBcamvr0d0dDTZRcfHxwfi4uJISkrC/PnzabfA9vDwaHfJS2ZmJq5evdrhJS9Mw8vLC/PmzYOmpiZ53R7o9PdXVVXV5sark3+HnJwcLFu2DLKyslixYgXU1dXR2NiIFy9eIDw8HMuWLcOpU6doU1ZbUVHRZqMCSUlJlJaWktc9e/ZETU1NR0gTiJaWFi5fvozDhw/j0KFDZDfKrVu34v79+1i/fj3GjRtHqcYfAQMDA4SHh8PY2Jg8xOQeXly8eBExMTGwsrKiUmIrVFRUcPfuXYFNZLKysqCiotLBqtpm1qxZsLKygqurK0aMGNFZqvwP6Qww/WDQLbtGTk4OHz9+pOzf/ycwMSi2adMmuLi4wM3NDW5ublBXV4eIiAjevn2LkJAQXL16Ffv378erV694vscti6GCgoIC2Nra8k1RFxUVhampKXbt2kWBMsGkp6fD1tYWq1evBgBcvnwZPXv2hKurK1gsFmxtbREeHk6xSl5u3LgBISEhctHXfHHayb/D/v37yf/Oycnhew+LxaLVBrc5MjIytA4qcamuroazszPu378PKSkpfP78GbW1tXj//j0CAwNx4cIFnDp1ilZZZEwoeWEaSUlJmDJlChlgSkpK+uZ36Pb3Z2ZmhrCwMIwZM4ZWBrc/GocPH4aCggLOnDlDZtwATYeD3CyyI0eO4NixYxSq/JtBgwYhNjYW1tbWkJCQ4Bmrra3FmTNneILPubm5UFBQ6GiZPKSlpWHJkiVQUlLi6b41atQo5OTkwMXFBcHBwRgzZgyFKpnPsmXLcOvWLdjY2KBfv35gsVjYt28fPn/+jFevXkFZWRlLliyhWiYPFhYW2LlzJ4YOHQpdXV0ATXNxSUkJjhw5goyMjHYfEHQUHz9+pN1BFRPpDDAxDKZl16xcuRJr167Fu3fvMGnSJIEdwpq3mqYaJgbFuF4kRUVFyMzM5BnjpoS7ubm1+h6VbdNVVFTw5MkTgeMFBQVkUIQufPr0iexSVVVVhdzcXBgbG5OnSL169UJlZSWVElvBRH8SpvH48WOqJfyfwN/fH3l5efD394empib5rps2bRoIgoC3tzf8/f1p1TGTKSUvTKLl3xsT//7q6upQUFCA6dOnQ15eHjIyMnzXRp2Zpf8b9+7dg6urK09wiUu3bt1gaWmJEydOUKCMP+7u7nBzc8P06dNhY2MDVVVVsNlsvH79GmfOnMGLFy9w6NAhAIC3tzfOnTsHT09PSjUfO3YMo0aNQnBwMI9Xm7m5OWbOnAl7e3vs378fYWFhFKpkPt26dUN0dDQCAwNx8eJFsNlsPHr0CIqKipg/fz5cXV1p5wHq6OiIJ0+ewMfHhyxjd3Nzw9evX0EQBIyMjGjnDaurq4uEhAQYGhp2li7/D3QGmBgG07JruNH0pKQkJCUltfKiIAgCLBaL0kBHS5gYFHN3d2dUK14AWL16NTw8PKCiogIHBweehcnZs2cRGRlJqw5WQFOGINf89tq1a2hsbOT5W3z8+DGtsic66eRHIjU1FdbW1jAwMGhlGGpiYoIHDx7gwoULFKnjDxNLXjr577l58yZ69uxJXpeUlFCo5selsbERoqKiAsdFRUV5sm6oZvLkyfD398f27duxZ88eHoNhJSUlHDp0CLq6uigtLcX58+cxa9YssmSfKp4/f47Vq1fzbQTAZrNhampKqy5hTEZCQgJLlizhm6nE4XCQn58PZWVlCpTxh8ViwdfXF2ZmZrh48SJPMwN9fX3o6OhQLbEV/fr1Q1ZWFvT09DBs2DCBwX86ZcTSkc4AE8NgWnYNXY1X24KJQTG6pcW2hyNHjqBbt27YvXs3jhw5AmVlZYiIiKCgoAAVFRUQFhbG2rVreb7DYrGQlZVFkWJg/PjxCA0NhYSEBE6fPg0JCQkYGBjg8+fPiImJQUxMDObOnUuZPgD/KCjHYrHg7u7+H6j5MfmnnVrMzMz+VR3/1yguLsagQYMEjvft2xfFxcUdqOjbMLHkhWl8a85jsVg8Rup08LfqzCztGIYOHYqzZ89i3rx5rQIgdXV1iI+Pp13nSV3d/8fenYdTlf9xAH9f+xaFFgmhRSvK1GijiFIJbSIUUyg1NW3UlFaUSdNESZGdtIgSLdpUpmRS+qmkxdq02IqSuOf3h8edbi5pppxz9H09zzy/ufccT++fud17z+d8v5/PWIwdOxb3799HQUEB6urqoKqqigEDBvC+j3bq1Am3b99mxBQ8SUnJFq9LysvLSWPkr6Bfv37w9fXF5MmTBR4/duwYvL29kZmZ2cbJmlddXQ1paWkMHz682T5cd+/excCBA9s4WfM+3i6bkZEh8BymbblmIlJgYhm2ra6xtLSkO8IXY2NRrCVcLhfV1dW4du0aTE1N6Y7DIywsDHV19SZ9oJg4uaqRh4cHSkpKsG3bNkhJSWHz5s2QkZHBzZs34evri6FDh2LhwoW0ZhR0sfXxXVBBzwMgBaYv4O7uDg6Hw/f7bM3vmBSY/hslJSXk5uY2ezwzMxPdunVrw0Sfx8YtLy1h2qRaoOFmBUVRvH8+9unfSw6HA0tLS3h5ebV5TqLt/fTTT1i4cCFmzpyJefPm8b5vPH78GAcPHsTDhw95f/+YRktLq9niF4fDYcyq9R9//JE3RfXT72/5+fmIiIjAjz/+SFM69iopKeG7oUpRFNLT01FdXd3kXC6Xi5MnTzLmNdHI3Nwc27dvx9ChQ5sc+/DhA3bv3o2QkBDcvXuXhnSCsXHLNRNxqE8/jQlG+/TDhg2rawAgNzcXFy9eRHFxMezt7SElJYWHDx9izJgxdEdrF16/fg1vb2+cPXsWb9++bfIluxHTXhdsVVZWBhkZGd4d0erqauTk5EBPT4/2D/jHjx/zPX758iXc3NwwZswYODg4QFNTExRFoaCgAOHh4bh8+TICAwPJpIwv8Okquurqaqxbtw59+/aFra0tNDU1weVyUVBQgMjISOTl5WHbtm2s2Nr88OFDCAsLM7Lx8K5du3DgwAH8/vvvGDJkCPT19REaGophw4YhLCwM27dvx4IFC7Bs2TK6o/K5cOECtm7diqKioiZbXtauXcvb8mJgYIDJkydj48aNArebMEFiYiKjJtUCDd8v7OzsoKenB2dnZ75JfaGhoTh37hx27NgBRUVFJCUlITw8HKtXr6Z9axHRNqKjo+Hr64uamhrecxRFQVJSEitXroSNjQ2N6Zq6dOkSTpw4gdLSUtTX1zc5zuFwEBYWRkMywQoLC2FlZYW3b9/ixx9/hJqaGsTFxfH06VOkp6dDTEwMcXFxtL9PsM2HDx8wZcoUPH36FACa3NQSZO7cuU1W/tNp5MiRqKiogJOTE5YsWcKbrnv37l14eHjg4cOHGDp0KKKiomhOSnxtpMDEMvHx8a06j0krh7y8vBAREcErfoWEhODNmzdYsmQJxo4di127djHyyzSbimIbNmxAbGws+vXrBxkZGWRkZMDU1BSvXr3C7du3ISIiAh8fH0yYMIHuqAKVlJSguLgYYmJi6NatGyv6GJWVlaGkpAQiIiLo0aOHwCaiTDB//nxwOBwEBQUJPL5kyRKUl5eTBpz/wfLly1FcXIyoqKgmK0opisK8efMgISGBwMBAmhIKFhwcjCdPnmDLli3gcrlwdXXF5cuXATSsgv3jjz+abOuiU21tLZydnfHnn39CWloa1dXV6N69OyoqKlBdXQ0dHR2EhoZCQkKC7qgCtbTlpXH1DRO2vLTk2rVr2Lt3L29SbXV1Ne0r8+bNmwchIaFmmzUvXLgQ79+/5x13d3fH//73P5w4caItYxI0qqysxLVr11BUVMQr7o4cORJycnJ0R+MTGRmJrVu3gqIoyMnJNds/6sqVK22crGWFhYXw8/PDpUuX8PbtWwANW+dGjx6N5cuXQ01NjeaE7FRSUsJ7zTo4OMDZ2RkjR45scp6QkBAUFRUZV8SrqKjAhg0bkJKSgv79+2PLli04ffo0Dhw4ABkZGaxYsQIzZsygO2YTlZWVCA4OxoULF1BUVAQRERGoqalh4sSJsLOzY+Q1K+NQBPENRUZGUn379qW2bNlCZWRkUH379qWuXbtGlZaWUp6enlTfvn2pPXv20B2zia1bt1JaWlpU3759KS0tLeratWvU6dOnqb59+1IuLi7U+/fv6Y7Ix8DAgHJ2dqYoiqJKS0upvn37Ujk5ORRFUdStW7cobW1tKjg4mM6IAt25c4eytLSktLS0+P6ZNm0adefOHbrjCZSRkUHNmjWLL++AAQOoBQsWUHl5eXTHa0JbW5uKiopq9nhUVBSlra3ddoHaIR0dHSoyMrLZ45GRkZSOjk4bJvq8gwcPUn379qXs7e0piqKokydPUn379qVcXV2p3377jRo4cCDl5+dHc8qm6uvrqaNHj1LOzs7UxIkTKVNTU8rR0ZGKioqiamtr6Y7Heps2baIuX75Md4wv8qXvcXFxceQ9j2AkExMTavLkyVRRURHdUf4VLpdLlZaWUi9fvqTq6+vpjtOuHDt2jCooKKA7xr+SlJRE6evr874zr1ixgiotLaU7lkBFRUXUmDFjqL59+1ImJibUggULKEdHR8rIyIjq27cvNWXKFOr169d0x2Q80oOJpdiyuiY2NhZGRkZYu3Yt39QfeXl5bNiwAZWVlUhMTISrqyuNKflFRUUhPDwcdnZ2MDU1xZw5cwAAenp6sLa2RmxsLIKDgxmV+dWrV7z/9vLy8ujWrRuysrLQr18/6OjoYPr06UhMTGTUONDc3FzY29sDAGbNmgVNTU3U19fj0aNHOHnyJOzt7XHkyBFoamrSnPQfGRkZmDdvHsTExDBjxgyoqamhvr4eT548QXJyMmbPno3o6GhGNJFtJCcn1+LWyIyMDCgoKLRhovZHSkoKRUVFzR5/8OBBi5PE6HD06FEYGhryVlUlJydDQkICO3bsgKSkJGpqanDq1CnGbTcTEhKClZUVrKys6I7Samza8sK2SbUAICsri4cPHzZ7PC8vD1JSUrzHr1+/ZuyKU+L7VlJSAg8PDygrK9Md5V/hcDiQl5enO0a7UFtby7dSZtKkSbznW8K01TVcLhcvXrzA+/fvISwsjLq6OhQWFqKsrIyRrxVfX19UVlYiMDAQhoaGfMdSUlKwcuVK7Ny5E+vXr6cnIEuQAhMLfbrlbMKECYzdcvb06dMW97fr6+szbpoKG4tiUlJSfL1/VFVV+Zrh9u3bFwkJCXREa9auXbsgJSWFI0eOQElJie+Yq6srZsyYAX9/f0aNt/3999/RtWtXxMbGonPnznzHFi9eDGtra/j5+WHPnj00JWzKzMwMoaGh6NKlC2xtbXkf6M+fP8f+/fuRkpKCJUuW0JyS3caOHYuIiAj07t0bFhYWvG1OHz58QGRkJI4cOQIHBweaU/IrKCjgFXjr6uqQnp6OoUOH8rbE9e3bF4cOHaIzYrPy8/Px6tUrcLlcgcd/+OGHNk7UvNZueWEKtk2qBQATExPExMRAQ0MDs2fP5vX5oCgKCQkJiIuLw7Rp0wA0bOWJi4vDoEGD6IzMk5ubC3V1dd7r4saNG5CRkUH//v1pTkbQQVlZGW/evKE7xhdp/BxpCZOK6Gyhra2N7du3Y8qUKQCAwYMHf7bHJ4fDQU5OTlvEa5U7d+5g/fr1ePDgAfT09ODl5YW//voLXl5esLS0hJOTExYuXMiYa1YASE9Ph4ODQ5PiEgBMmDABt2/fxokTJ0iB6TNIgYll2La6RlZWFqWlpc0ez8/PZ9ydfTYWxfr3749z585h9uzZAAANDQ3cunWLd7ykpIRxvT0yMjJgb2/fpLgEAN27d+etBmKSnJwcLF68uElxCWjIPGfOHOzfv5+GZM1bunQpHjx4gICAAOzZs4fXn6ampgYURWHSpElwdnamOSW7rVixArdv38batWuxdetWdO/eHRRFobi4GO/evYOenh5+/vlnumPykZaW5jW9/euvv1BdXc23auXvv/9Gp06d6IonUFFREZYtW9bsxBmKgUMuIiIi0KtXLwQGBrJiVQLbJtUC4L0mtm7dip07d0JZWRmioqIoLCxEVVUVtLW1sWLFCnz48AETJkyAiIgI7SOma2pqsHz5cpw/fx4JCQno06cPACAmJgYpKSmwtLTEpk2beMUy4vtgZ2eHvXv3wsLCghW9KAHg0aNHTQofdXV1qKqqQl1dHbp378643kBsYGFhAVVVVb7HdA+R+VKzZs2ChIQEPDw8eIVIFRUVjBw5EuvWrUNgYCCSk5Nx+vRpmpP+g8vltvjdp3v37nj37l0bJmIn8snFMmxbXTNmzBjExMRg2rRpTRqvZmdnIzo6GiYmJjSlE4yNRbE5c+bAzc0NVlZWCAsLw+TJkxEbG4vly5dDXV0dYWFhjLqrDzR8wW6pwaacnJzAcax0kpWV/WwmcXHxNkrTOuLi4ggJCcGlS5dw6dIlFBcXA2j4kDcxMcGwYcNoTsh+HTt2xLFjx3D48GFcvnyZt13uxx9/hImJCaZOncq4Am+/fv0QFxeHIUOGYM+ePRASEsL48eMBNLw3x8TEQE9Pj+aU/Ly9vfG///0PFhYW6N+/P+NXAwHs2/KyePFiAEBSUhKSkpJYMalWWloa0dHRSExMxNmzZ1FQUIB3795h6NChMDEx4a0qrKysxKJFizBx4kTeuHq67N27FxcvXsSCBQvQvXt33vOrVq2ChoYGAgMDoaGhgZ9++onGlERbe/PmDcTExGBiYgJtbW0oKCgI/Oygu0D6satXrwp8vra2FsnJydiyZQtZJf0veHt78z328fGhKcm/p6urC29v7yZN3hUVFbF3714kJCTAy8uLpnSCmZqaIjY2FtOnT2+ylbq2thbHjx9n3HUrE5EpciwzaNAgrFmzBrNnz0Z5eTn09fVx8OBB6OvrAwDi4uKwdetW3L59m+akDZ4/f47p06ejpqYGurq6SEtLw7hx41BbW4tr165BTk4Ohw8fZtSXbw8PD1y+fBlHjhyBhIQE3+84Ozsb9vb2MDExwbZt2+iOyufYsWMICQlBQkIChIWF8fvvv/P6qygrK2P//v2MGj1uZWUFaWlphIeHC7yImTNnDt69e4djx47RlLCpkJAQBAQE4ODBgxg8eDDfsYKCAtjY2GDevHlwcnKiKSFBtM6DBw/g5OSE0tJSUBTFG2+cnp6OefPmQUFBAeHh4YzqgTZkyBBMmzYNa9eupTtKq02YMAGWlpasWSXIxkm1bGRsbAxDQ0P8+uuvAo97enri+vXrSElJaeNkBJ20tLQ+ew7TCryf4+Pjg+zsbDKK/hv48OEDrl69CmFhYYwYMULgalM6Nd6QaMmrV6+gqKjYRok+LzU1FVu3bkVdXR3mzJkDDQ0NiIqKoqCgALGxsSguLsbSpUubTNidNWsWTYmZiaxgYhm2ra7p2rUrjh49Cj8/P6SmpoKiKKSmpkJSUhLjx4/H8uXLGVVcAhq2FF25cgXm5ubQ1dUFh8NBZGQkQkJCeEUxJt6N+bTx7dKlSzFz5kxUVlaiV69ejLvbb2dnBw8PDzg7O2PBggW84tejR48QFBSEv/76C1u2bKE5Jb83b95ATk4O1tbW0NfXh6amJkRERFBYWIiLFy9CWFgYOTk5WL58Od/P0X23sbq6Gunp6aiursbH9xTq6up4xxqLkcS/d+/evRZ/x+vWraMxHb++ffvixIkT+PPPP9GtWzfo6uoCAHr16gU3NzfMmDGDcVs0hISE0Lt3b7pjfBG2bXlhc+GITb25Xr582eIwiP79++P48eNtF6gda2zYe+HCBTx79gyBgYGQkJBAeHg4fv75Z0Zt37p//z7dEb46TU1NxMbG0h2D9T58+ABvb28UFhZi//79qK2thbW1Na/Y2KdPH4SGhjJqa3tjcenixYs4f/48SkpK8Msvv0BSUhJ//vknrKysGFVcAoBFixbx/t3Pz0/gOZ+uJuNwOKTA9AlSYGIZNm4569KlC3x8fEBRFMrKysDlcpvt68AEbCyKNad79+58y++ZxNLSEnl5eTh48CDS0tKaHHd0dOQ1ZmWKvXv38v796tWrTZaGf/jwAUlJSXzPcTgcWgtMmZmZcHZ25tva11gAafzwl5WVpSVbe5GXlwdXV9cWJ8lxOBxGFZgAoFOnTpg4cSLfc507d4abmxtNiVo2fPhwXLlyBTNnzqQ7SquxccsLwJ5JtQA7e3N1794dN27cgLW1tcDjN2/eZEVBkulKS0thbW2NkpIS9OrVizeBq6KiAikpKUhPT0d0dDSjVne3JxRF4ezZs4y68c1WAQEBiI6O5k2TO378OHJycmBtbQ0tLS34+vrC39+fUd8z6urqsHTpUqSmpvKec3JywtOnT7Fx40bEx8fjwIEDjPoOGh4eTneEdoFskWMZNm45AxrGAqenp6O4uBjCwsLo2bMn9PX1GTU5QBC2FMXY7PHjx0hNTUVxcTEoikKPHj1gZGREvvB9JY6Ojrh16xaWLl0KDocDLy8v7Ny5E9XV1YiNjUVeXh5OnDgBFRUVuqOy1qJFi3Dp0iXY2NhAREQEISEhcHd3R2VlJRISElBWVob4+Hja+758qqKiAmfPnsWrV69QX1/f5DiHw+G7m0e3oqIi2NnZYezYsZg4cSLk5eUFFmuY9Htm45aXTyfVhoSEMHZSLdDw9+/ChQuYOnVqi725mivm0CEwMBC7du2Ck5MTHBwceIMjKioqEB0djd27d2PRokWMLfayxa+//oqkpCRERkZCSUkJI0aM4LU8yMrKgrOzM0aMGEHbtFo/Pz+YmZnx3ieaWzHxMQ6Hg2XLln3raK326YrtRrW1tXjw4AEKCwsxd+5crF69uo2TtS+mpqa8yXJAQ6Hm9u3bSE9Ph6ioKHbu3ImEhARcvHiR3qAf2bNnD/744w94eHhg3LhxGD9+PA4ePIihQ4ciLCwMO3fuhIODA3lttENkBRPLsHF1TVBQEPbu3cubWtVITk4Oa9euhbm5OY3pmsfWohjbaGhokGLSN5SdnQ1ra2s4ODigrq4Ovr6+kJaWxsSJEzF58mRYWFjA39+fcT3F2OTmzZuYPn061qxZg5qaGoSFhUFLSws//vgj7O3tYWFhgcjISEbdWfzzzz/h4uKC9+/fo7n7TEwrMJmamoKiKERHRyMmJqbZ85hUrGHblhe2TaoFGsZK29rasqo31/z583H79m0cOHAAwcHBkJCQgJiYGF6/fg2KomBoaAgXFxe6Y7LexYsXMWfOHAwYMIBvMA4A6OjowNbWFocPH6YpXcP34969e/MKTEFBQZ/9GaYVmD5dtd1ISEgIioqKcHR0ZNwUVTYqKSnB/PnzAQDv37/HzZs3MWrUKF5BXUVFBWVlZXRGbOL48eOwsLCAg4MD398/MTExzJ8/H4WFhTh37hwpMLVDpMDEQmzachYXFwc/Pz9oa2vDzs4OampqqK+vx5MnTxAeHg53d3fIysrC0NCQ7qh82FoUY7JDhw79q59jyr7mwsJCnDp1Cjdv3sSLFy9AURS6du0KPT09TJo0CT169KA7okDv3r3jNWoWERGBmpoa7t27hzFjxkBCQgJWVlaIi4ujOSW7VVdXY8CAAQAACQkJqKio4H//+x9+/PFHdOrUCdOnT8fJkydpTslv586dEBcXx4YNG9CvXz/G9WgTxMXFhXVjmtmGbZNqAXb25hIWFsbevXtx+fJlXLhwASUlJaivr0f37t0xduxYjB07lu6I7cLr169b/GxWVFREZWVlGybil5qaCnl5eb7HbMO2IjpbdezYkfda/fPPP/H+/XuMHj2ad/zp06eM62f07NkzXn9HQQYOHEh6zbVTpMDEUmxZXRMWFgY9PT2Eh4fzbWXQ0dHB5MmTYWtriz179jCqwMTWohjTeXp6gsPhNLtaQhAmNM7jcrnYtWsXgoODUVdXByEhIcjJyUFISAiPHz9GWloadu/ejfnz58PNzY1xhd7OnTvzDQZQUVFBbm4u73GnTp3w6tUrOqK1Gx07dkRVVRXvsaqqKh4+fMh7rKSkhBcvXtARrVn379/HokWLYGFhQXeUVlu8eDHdET6L7Vtenj59Chsbm2aP6+vr4/z5822Y6PPY2Jur0ZgxYxjZ16q9UFVVxa1bt5r9HpGWlgZVVdU2TvWPT3cchISEwNDQkK9wQBAAoKuri6ioKKioqCAwMBCioqIYP348Pnz4gNTUVMTGxsLU1JTumHwUFBRa7E157949vgIr0X6QAhMLsWl1TVFREWxsbAT2yRAVFYW5uTl+++03GpI1j41FsY+9ePECz549g4aGBsTFxSEiIiLw99/W2No4b8OGDYiLi8OIESMwb948DB8+nFfIra2txV9//YWQkBAEBgaitLQUmzZtojkxP319fcTExMDAwABaWloYOHAgIiIiUFZWBnl5eVy6dIl8wP9HP/zwAw4fPgxzc3MoKCigb9++SExMxLt37yApKYlbt24xrslphw4dICUlRXeMFtXW1vLdNGls0Ps5dN5oYfuWF7ZNqgUADw8P2NnZYdOmTYztzXXlyhVoaWnxVhhcuXKlVT83atSobxmr3Zs+fTq2b9+O/v3781aFcTgclJaWYu/evbh48WKzPYTocOTIEaipqTG6wOTv7//FP8O07dZs5OHhAUdHRyxZsgQcDgerV6+GgoIC/vzzTyxduhQ9e/Zk3E0YY2NjREdHw9TUlFdMbVyFfObMGRw+fJiVNwaIzyNNvlkmLi4O69evb3Z1zYMHDxhV/JgyZQp0dXWbvej28fHBpUuXkJyc3MbJmqetrY1Vq1bB1tZW4PHIyEj89ttvyMrKattgn5GVlYXNmzcjJycHQMOdMC6XizVr1sDDwwMTJkygOSH7XL16FU5OTnBxccHSpUtbPHfXrl0IDAzEgQMHMHLkyLYJ2ApFRUWYMWMGKioqcPXqVXC5XJiamoLD4aBjx44oLi7G/Pnz8csvv9AdlbXu378Pa2trUBSFixcv4s2bNzAzM0P37t3RrVs3ZGRkYObMmdi4cSPdUXm2bt2Kv/76C3FxcYxbddeoX79+2L59O6ZMmQKgoWH257bIcTgc3nsgHYqLiyEvLw9JSUne49ZgSu9EDw8PXL58GUeOHIGEhAT09fV5TZGzs7Nhb28PExMTRvVsGzBgACiKApfLbfH1QWdvrsYpT619LTNx8h0bURSFNWvWID4+nreCWkJCgtd7zsTEBL///jsjbsIBDX3mxo8fjxUrVtAdpVmCBhc0vpY/vaT8+DVOXsv/XV1dHXJyctC1a1felMmKigpcvHgRJiYmjLtp9ObNG9jY2ODJkydQV1dHXl4etLW18fr1azx58gQqKio4dOgQOnXqRHdU4isjBSaWmTRpEjp16tRkdQ3QMCK9sSjClJ4qaWlpcHNzw+LFi2Fvb893Z/n48ePYsGED/P39GXWXjo1FsZycHMyePRvy8vIwNDREbGwsQkJCICUlhcWLF+PVq1cICgpi1O8ZaHjNxsXF4fz58ygpKYGXlxckJCSQlJQER0dH2lfWLFy4EMXFxUhISGjV+dOmTYOSktK/usP3LTVOMXNycgLQ8Hrx8fFBZWUlDA0NsXjxYoiIkAWt/0VeXh6io6Oxfv16AMDly5exceNGVFZWwsDAABs3boSMjAzNKf9x5coVrF+/HrKysjA2NoaCgoLAiyw6t6h6eHjA2toa2traAAB3d/dW9WDy9vb+1tHaLTZOqt29e3erXhd0TmSLj4+Hnp4eb1pnfHx8q37O0tLyW8b6bly/fh1nzpxBQUEBuFwulJWVYWRkBAMDA7qj8Tl79izc3d1haGiIUaNGNdtflc7vco8fP+Z7/PLlS7i5uWHMmDFwcHCApqYmKIpCQUEBwsPDcfnyZQQGBmLw4ME0JSbo9O7dOxw4cEDg3z9nZ2fIysrSHVGgkpISdO/eHQDw5MkTxMXFQVRUFNOnT6d1Wy1bkAITy7BtdY2NjQ0KCgpQWloKKSkpqKioQEREBEVFRaisrISwsDA6duzI9zMcDgdpaWn0BAY7i2ILFizAkydPEB8fj9raWr5RvBUVFZg9ezYUFRURERFBd1Se6upqzJs3D3fu3IGcnBxev36NkJAQVFRUYNmyZVBRUUFkZCTvLg0dDA0NMXv2bDg7O7fq/P379yMqKopRY2IJQhBBd6E/RVZQfB319fW4fv06Xr16BS6XK/AcJvXCevHiBW9S7Zs3bwAAkpKSMDAwwPLly3lFEoIgvq5P35c/LZwycWXb/PnzweFwmt0OvGTJEpSXlzPq+ydBNOf58+eYP38+REREcOzYMbx69QpmZmZ4/fo1AEBaWhrR0dHo27cvzUmZjdyyZhlVVVU8ePCg2eNFRUVQUlJqw0QtExYWhrq6epPeB0ye+LJ371506NABO3bswN69ewUWxdzd3fl+hu6iWGZmJpydnSEjI9NkFG/Hjh1hbW2NPXv20JROMH9/f+Tk5MDf3x9DhgzBiBEjAAATJ04ERVHw8PCAv78/Nm/eTFvGsrKyL5rKIS8vj4qKim8XiCC+Erb2RPvUhw8fcPXqVQgLC2PEiBGM2+537949ODs74+XLl80OOOBwOIwqMLFpUm1rPH/+HHfv3oWRkRHdUZp4+/YtXr582Wzhkc6+Ue1FRUUFsrKyWvw90z1MpBEbV19mZGRg1apVzR7/8ccfsX379jZMRBD/3u+//478/Hxeb7a4uDi8fv0a27dvx8CBA+Hi4gJ/f3/s3r2b5qTMRgpMLLNq1Sq4ublBVVVV4Oqa2NhYRm3PYeMdCzYWxbhcLqSlpZs9Xl9f3+oGuW0lJSUFs2bNgrGxcZOimJmZGbKzs3H69Gma0jVQUFBAQUFBq88vKChAt27dvmEigvg6hg0bRneEL/bhwwd4e3ujsLAQ+/fvR21tLaytrXl38/v06YPQ0FBG9XPYtm0bKioqsGjRIvTv3x+ioqJ0R2oVJk+q/bQ3FwDU1NTgwIEDsLCwaDKW/vr161i9ejWjVn0UFRVh1apVuHXrVovnMSkzG6Wnp2PJkiWoqqpqscDLlAITG7dEysnJtfg6zcjIgIKCQhsmIoh/Ly0tDQ4ODrC3twcAnD9/Hl27duUN0Jo1a1arhnd870iBiWXYuLqmUUlJCYqLiyEmJoZu3brRuvWpJWwsivXr1w8pKSkCt07W1tYiISEB/fr1oyFZ8169etXiEtOePXvi1atXbZioqWHDhiEhIQELFy6EuLh4i+e+e/cOCQkJjOvpQBAtOX/+PM6ePct7b1ZSUoKxsTEjX8cBAQGIjo7GpEmTADTcVMnJyYG1tTWvibK/vz/WrVtHc9J/ZGVlwcnJidb+P1+K6ZNqBRUK3r17h4CAAAwdOrRJgYmJNmzYgL/++gtmZmZQU1Nj7eowptu+fTuEhITg6enJqt9zbm4uLl68iOLiYtjb20NKSgoPHz7EmDFj6I7WhJmZGUJDQ9GlSxfY2tryemc+f/4c+/fvR0pKCpYsWUJzSoJoncrKSqipqQEAysvLkZOTg6lTp/KOy8rKMu6GPRORAhPLsHF1TXZ2Njw9PZvc4RgwYAA8PT0xaNAgmpJ9HluKYs7OznBxcYGbmxvGjx8PoGGcdHl5OUJCQpCbm8u45ZxKSkrIzc1t9nhmZibtq4HmzZuHEydOYOXKlfjtt9+avXv/9u1bLFu2DKWlpZg7d27bhiSIf4HL5WL58uVISUkBRVGQk5NDfX09rly5giNHjsDU1BQ7d+5sVfPktpKcnAxzc3PedovTp09DRkYGa9euhaioKJ49e4aEhARGFZjExcXRpUsXumO0WlxcHPz8/JqdVOvu7g5ZWVnGTKr9GJtait66dQvz58/nbcMgvo0nT55g2bJlsLa2pjtKq3l5eSEiIoLXb2nChAl48+YNlixZgrFjx2LXrl2MWEnYaOnSpXjw4AECAgKwZ88eSEhIAACvQD1p0qRW97EkCLp169aNt3Ph/PnzoCiK7/Pu5s2bjGpFw1SkwMQybFtdk5uby1tmOGvWLGhqaqK+vh6PHj3CyZMnYW9vjyNHjkBTU5PmpPzYVhQzMDDA1q1b4eXlhdTUVADAxo0beSN516xZA2NjY5pT8ps0aRIOHDgAfX19DBkyBEDDajsul4uwsDCcOHECCxYsoDWjlpYW1qxZgy1btmDSpEmYMWMGtLW10blzZ4iIiODVq1fIyMhAbGwsnj17Bh8fH9Izg2CFkJAQJCcnY86cOXB1deVtYXjx4gUCAwMRExOD8PBwODg40Jz0HyUlJZg/fz4A4P3797h58yZGjRrF23amoqKCsrIyOiM2MXbsWJw5cwazZ8+mO0qrhIWFQU9Pr8mkWh0dHUyePBm2trbYs2cPIwtMbCItLU37DZTvQY8ePfD+/Xu6Y7RaVFQUwsPDYWdnB1NTU8yZMwcAoKenB2tra8TGxiI4OBiurq40J/2HuLg4QkJCcOnSJVy6dAnFxcUAGt6PTUxMWLkdm41qampQVlYGMTGxL+od+i1lZGRg0KBBvKIjGxgaGiI8PBzV1dVISkpCx44dYWhoiOfPn2Pfvn04ceIEFi5cSHdMxiMFJhZjw+qaXbt2QUpKCkeOHGlS8XV1dcWMGTPg7++PnTt30pSwKbYWxaysrGBiYoJr164hPz8fFEVBWVkZI0eObDKpjwlcXV2RlZUFNzc3SEtLg8PhYO3ataioqEB1dTV0dHQY8SVqzpw56NatG7y8vODn5ydwqouqqipCQkJ4jcqZiE1L7tmsrq6u2UayTLrrfOzYMRgbG+PXX3/le75Lly5Yv349/v77bxw5coRRBaaOHTuisrISAPDnn3/i/fv3GD16NO/406dPGfPFupGDgwMWLVoEFxcXTJgwAfLy8nyFm0ZMmUpaVFQEGxsbgRlFRUVhbm6O3377jYZk7cuMGTNw9OhRzJgxg1HvC+2Nq6srvL29MWbMmFZNzqRbbGwsjIyMsHbtWr7elPLy8tiwYQMqKyuRmJjIiO9GnzIwMGDk1urvxZkzZ7B69WooKSlBVFQU+/btQ8+ePWnNtHjxYkybNg0rV66kNceXWLlyJaqrq3HkyBF07doVGzduhLi4OP7++29ER0dj8uTJtN/8ZgNSYGIhNq2uycjIgL29vcDlhN27d8fs2bMRHR1NQ7LmsbEo1khGRgYmJia8x1VVVYztOSAmJobg4GAcP34cZ86cQUFBAbhcLnR0dGBkZIQZM2YwpiGusbExxo0bh+vXryMrK4s3brxr167Q09ODnp4e3RFbxLYl92xTXl4OLy8vpKWl8Qogn+JwOMjJyWnjZM0rLCzk3R0XZNSoUdi2bVsbJvo8XV1dREVFQUVFBYGBgRAVFcX48ePx4cMHpKamIjY2FqampnTH5NPYtLekpASXLl1qcpxpY8fZNqmWrRYuXIjbt2/D2NgYI0eOhKKiYpObFxwOB8uWLaMpYfswYcIEHD9+HFZWVlBSUhL4ewYaCjtM8PTpU9jY2DR7XF9fH+fPn2/DRK1TV1eHmJiYJv38jIyMMGvWLIiIkMvNb01RURF6enqIiIjA2bNnkZWVRXuBqba2FsrKyrRm+FJiYmLw8vKCl5cX3/NaWlo4f/48unfvTlMydiF/41mGbatrampqICcn1+xxOTk5VFdXt2Giz2NjUQxomMqWm5vLa6a4ceNGHDp0CEJCQpgxYwZ+/fVXRhWbioqK0KNHD1hZWcHKyoruOJ8lJCQEFRUV6Ovr0x3li7BxyT3bbNq0CcnJydDW1mZNI1lZWVmUlJQ0e7yoqKjFyZR08PDwgKOjI5YsWQIOh4PVq1dDQUEBf/75J5YuXYqePXti8eLFdMfkw7ax42ybVMtWCQkJuHr1KiiKQnx8vMBzSIHpv/vtt9+QlpYGERER1NXV4eXLl3RHapGsrCxKS0ubPZ6fn48OHTq0YaLPq6mpgZOTEzIzMyEjIwNVVVXU1dXh9u3bSE9Px8mTJxEWFkZuYv1HmzdvhqGhId+q3Y+NGDGCt4q+sRcr3ZycnHDgwAGoqqrixx9/ZFWhsa6uDnfv3kVJSQmGDRsGCQkJxn0nYjL2/JcmALBvdU2vXr1w5swZzJkzR+DWopSUFMYUwxqxsSh2/PhxuLu7o2/fvliyZAkuXbqEmJgYDB48GD169EBMTAyUlZXx008/0R2Vx9jYGEOHDoW5uTkmTJjQ4u+cKdiYmc1L7tni2rVrmDlzJjZt2kR3lFYbPXo0oqKiYGRkBF1dXb5jf/31F2JiYvhWQzKBkpISTpw4gZycHHTt2pW3LVxLSws+Pj4wMTGBlJQUzSn5iYqKYujQoaxZ9cOWSbWPHz9GRkYG7/GbN28AAA8ePGhyEfPo0aM2zdYajb/btWvXQl1dnRVFaTY6fvw4RowYgV27djGuMCPImDFjEBMTg2nTpjXpW5OdnY3o6GjGvS/v2bMHmZmZWL16Nezs7Hh//2praxEREYHffvsNQUFBrJqkyURHjhyBmppaswUmJrp58ybKy8sxf/58CAsLQ1ZWtsn2a6ZMOv/YmTNnsHnzZt4k65CQENTW1uLnn3/GkiVL4OjoSHNC5iMFJpZh2+oaOzs7eHh4wNnZGQsWLICGhgaAhi98QUFB+Ouvv7BlyxaaU/JjY1EsIiICOjo6CA8PBwAkJiZCREQEQUFB6NixIyQkJHD8+HFGFZgWLlyIU6dOwdPTE1u2bMGYMWMwdepUGBoaMvZO16eZDQwMYG5uzujMbF1yzyZCQkLo378/3TG+yNKlS5GWlgYbGxsMGzaM7705IyMD8vLyWLp0Kb0hBRAREcHgwYP5nuvYsSMsLCzoCfQZGzduhJ2dHWvGdLNlUm1gYCACAwObPC9oW2fjNkQmefHiBVavXk161nxjNTU1mDBhAiuKS0DD+/KVK1dgbm4OXV1dcDgcREZGIiQkBNeuXYOcnBzj3ktOnToFS0tLzJs3j+95MTExODk54eHDhzhx4gQpMP1H3bp1w4sXL+iO8UXq6uowcOBAumN8kfT0dCxduhQDBgyAnZ0d/Pz8ADTc4OrZsyd8fX3RpUsXTJ48meakzEYKTCzDttU1lpaWyMvLw8GDBwVWqB0dHTFt2jQakjWPjUWxR48ewd3dHWJiYqAoClevXoWOjg6vubeuri6SkpLoDfmJJUuWYMmSJbh79y5OnjyJ5ORkpKamokOHDjA1NYW5uTnjpo8Iynzu3DlGZ2bjknu2MTMzQ0pKCqtGYXfr1o03kv7ChQu4fv06AEBKSgpmZmb45ZdfGLfqpjVbszgcDhYtWtQGaVpHSEgIsrKydMdoNTZMqm0PF6q9evVi/Hat9uCHH37ArVu3MHPmTLqjtErXrl1x9OhR+Pn5ITU1FRRFITU1FZKSkhg/fjyWL1/OuJ42f//9N7S1tZs9rqOjg1OnTrVhovZpxYoVcHd3x7NnzzBq1CjIy8sLXPnIlIERADs+Tz61Z88e9O3bF9HR0aiqquIVmPr06YO4uDjY2toiLCyMFJg+gxSYWIaNq2tWrlyJadOmITU1FcXFxaAoCj169ICRkRGveMMkbCyKiYuL8yZXZWdno6Kigu9Dpry8nLFFhIEDB2LgwIFwd3fHjRs3eIWmo0ePQklJiZGra9iUmY1L7tlmxYoVWLBgAaysrDBu3LhmG8nOmjWLhnTNU1ZWxo4dO8DlclFeXg6KopqdcsYELRWYOBwOhISEGFdgWrFiBfz8/CApKYlRo0ZBQUFB4O+XiSsgmTqptj0UmJYuXYpffvkFWlpaGDduHGMGWrQ3a9euhZ2dHTZv3ozx48dDUVFR4EX5pyv26NSlSxf4+PiAoiiUlZWBy+U2W0xgAgUFBeTm5jZ7/MGDB+jUqVMbJmqfGvsLJiUlISkpSeA1IJMGRnyKqZ8nn7p79y5+/vlnge/JYmJisLCw4BWdiOaRAhPLsHF1DQBoaGgwspjUHLYVxXr37o2kpCSYmZnh4MGD4HA4vCZ/z58/R1xcHPr160dzys/r1KkTFBUVoaioiBcvXqCqqoruSJ/F9MxsXHLPNtevX0d2djZqamqanRTH4XBoLTDV1tbyFTFqa2v5jjcWoOvq6vieZ1LhQ9Bd8Pr6erx69QonT57EzZs3GXfHdP/+/Xj37h02bNjQ7DlMmzDIpkm1bBUSEgJxcXEsXboUwsLC6NChQ5MCAhN7k7CNmZkZKIpCVFRUi+0jmHZRXl5ejmvXrqG4uBhmZmaorKxEeXk5424gAw29KQ8dOoShQ4di0qRJfMdOnjyJw4cPM+7mChuxbWBEI7Z9nnzuBltVVRXjtlwzEYeiKIruEMSX8fX1xcGDByHoP52joyNWrlxJQ6oGhw4d+lc/Rz58/psbN27A2dkZNTU1oCgKZmZm8PPzQ2ZmJubOnQsREREcPHgQOjo6dEdt4smTJzh16hSSk5Px6NEjiIiIML63Edsyv3jxgrfkvrEZrqSkJAwMDLB8+XKoqKjQnJDdJk+ejNLSUri5uUFDQ6PZO810bp/s168ftm/fjilTpgBoaIz9uS9JTCt8fM6SJUsgIiLCqLuL7u7urfoyypSLh9zcXN7n8dSpU5tMqgXAqEm1bGVnZ9eq85hWMGWb3bt3t+rvH5NWxYWFhWHnzp2oqakBh8NBSEgI3r59Czc3N9jY2ODXX39l1AVuZWUlrK2t8fTpU/To0YO3Guzx48coLi6GqqoqDh06xGvZQHw/2Ph54uTkhNLSUhw7dgyVlZXQ19fHwYMHoa+vj6qqKkydOhU9e/ZEcHAw3VEZjRSYWOrx48eMXF3TeNHyJS8rupd0tpei2OPHj3H+/Hl069YNEydOhLCwMIqLi+Hv7w8HBwdoaWnRHZFPUFAQTp06hQcPHoCiKOjq6mLq1KmYOHEiY6ezsTHzx9iy5J5tBg8ejOXLl8PBwYHuKM3y8PCAtbU1r1cG2wofrXH48GFs376db7oY8WUWLVqErKwsgZNqS0pKMGPGDAwbNowxk2oJoj1JTk7GsmXLYGxsDBMTE6xatQoHDx6EiooKNm3ahLS0NPz666+wtbWlOyqfN2/eYP/+/UhNTUVRURHvusTY2Bjz589nbIsGNsrNzcXFixdRXFwMe3t7SElJ4eHDhxgzZgzd0Zpg4+dJVlYW7OzsoKWlBSMjI+zatQsLFy6EhIQEoqOj8fLlS4SGhkJPT4/uqIxGCkzEV3Xjxo1/9XN03tlnY1GsPdDS0kLPnj1hbm4Oc3Nz9OjRg+5In8XGzI0+3iJVXl6OU6dOQUREBBMnTmRVE2ImmjRpEqZOnYoFCxbQHeW7tmXLFhw/fhw3b96kO8oXuXv3LmMm7QwbNgz29vbNrujw9/dHdHQ0rl271sbJ2q8XL17g2bNn0NDQgLi4OERERBjbB6094XK5qK6uxrVr12Bqakp3HADAtGnTICUlhYiICJSXl/OtngAaVle8fPkSiYmJNCf9x8mTJzF06FDGDYVoj7y8vBAREcHrtxQSEoI3b95gyZIlGDt2LHbt2sWoFfRs/Ty5evUqPD09UVRUxPd8ly5dsH79ehgbG9OUjD1IDyaGY9vqGqZN0GqN8PBwuiN8sUOHDkFfXx+qqqq8x63BpFVXcXFxTcaNMx0bM7958wYrVqxARUUFDh06hKqqKkybNg3Pnj0DRVHYs2cPoqOjGTeZhk0WLFiAbdu2QV9fn3H9BJpjb28PV1dX3oXLp86fP48dO3Ywavpkc+9ztbW1yMnJQUJCAq/3HFPU1tYiKCgIZ8+exdu3b3nDGICG/lHV1dWoqqpizA0Ltk2qZbOsrCxs3ryZtw01JCQEXC4Xa9asgYeHByZMmEBzQvZ7/fo1vL29eX//mruRyJS/f3l5eS22uRg/fjy2bdvWhok+b8OGDbC3tye9HL+xqKgohIeHw87ODqamppgzZw4AQE9PD9bW1oiNjUVwcDBcXV1pTvoPtn6ejBw5EmfPnkVOTg7y8/NBURSUlZUxcOBAiIiQ0klrkN8Sw3l6ev6r1TVMKiR8+PABcXFxOH/+PEpKSuDl5QUJCQkkJSXB0dER8vLytOZjY1HM09MTvr6+vAKTp6fnZ3+Gaa+LxkINm5b7sjHzrl27kJaWhrlz5wJo2O9eUlKCpUuXYsCAAfDw8MAff/zBuC+tbJKRkQExMTHMnDkT3bp1g4KCgsAvIbGxsTSka1BVVcU3Fv3GjRsYO3YsunXr1uRcLpeL8+fPN7l7R7fPfR4OGjQIHh4ebZyqZbt378b+/fuhoKAAWVlZPHnyBIMGDUJpaSn+/vtvSEhIYPXq1XTH5GHjpFo2ysnJgYODA+Tl5XkXhwAgIyMDiqLwyy+/QEZGhlEjx9nIz88P8fHx6NevH2RkZJCRkQFTU1O8evUKt2/fhoiICHx8fOiOySMhIYG3b982e/zly5eMWqECAMLCwmQVdBuIjY2FkZER1q5di/Lyct7z8vLy2LBhAyorK5GYmMioAhObP084HA4GDBiAAQMG0B2FlUiBieHYuLrmY9XV1Zg3bx7u3LkDOTk5vH79GjU1Nfj7779x4MABnD59GpGRkYwbV8n0olh4eDjfmzJbXyefLvedMGECo5f7AuzLfP78edjY2GDVqlUAgHPnzqFTp05wdnYGh8OBjY1Ni9N1iM+7du0ahISEeFsEysrKaE7UVG1tLWbNmsVr8s7hcLB9+3Zs375d4PkURTHu4ra59zkhISF07twZampqbZzo81JSUjBkyBCEhYWhrKwMBgYG8PHxgaamJk6fPo1ffvmFUf1J2Dqplm1+//13dOnSBfHx8aitrUVMTAwAQFtbG4mJiZg9ezb27dvHuL+DbHPx4kUYGhoiMDAQZWVlGDFiBFxcXNCvXz9kZWVh7ty5KCkpoTsmz/DhwxEXFwcbG5smx0pKShAdHc24m6IrVqyAn58fJCUlMWrUKCgoKAjc4smk70Vs9PTpU4Gvi0b6+vo4f/58Gyb6PDZ8nixfvvxf/dyOHTu+cpL2hRSYGI5pHyRfyt/fHzk5OfD398eQIUMwYsQIAMDEiRNBURQ8PDzg7++PzZs305z0H2woin36urh9+zb09fUZ08ejNdi43JeNmV++fIl+/foBaFjFkpWVBVNTU97dpM6dO/OKDsS/w7QvdYLIy8vD19cX2dnZoCgKAQEBGD9+PPr27dvkXCEhISgqKsLMzIyGpM1j4+fh33//DXt7e4iKiqJr165QVFTErVu3oKmpCVNTU5ibmyM2NhbTpk2jOyoAwNLSEnl5eTh48CDS0tKaHHd0dGRMVjbLzMyEs7MzZGRk+FYjAEDHjh1hbW2NPXv20JSu/Xj16hVvZbG8vDy6deuGrKws9OvXDzo6Opg+fToSExPh6OhIc9IGS5cuxcyZM2Fubo7Ro0eDw+EgJSUFp0+fRmJiIiiKYtTEOwDYv38/3r17hw0bNjR7DtsmkjKRrKwsSktLmz2en5/PqJsVADs+T/5NGwAOh0MKTJ9BCkwsxPTVNR9LSUnBrFmzYGxs3ORLlJmZGbKzs3H69Gma0gnGxqLYnj17QFEUqwpMbFzuy8bMioqKeP78OQDgypUrqK+vx+jRo3nH79+/z7gVhGzG5XJRVlYGWVlZxt2xNTAwgIGBAYCGu+EfT5Vji9raWsTFxfG2qIqIiEBNTQ3jx4+Hubk5o8Z3Aw137cXFxXmPVVVV8eDBA97jIUOGMK5AuXLlSkybNo2Rk2rbCy6XC2lp6WaP19fXo7a2tg0TtU9SUlJ87wmqqqrIzc3lPe7bty8SEhLoiCaQhoYGoqKisGXLFl7Pucb/HTRoENatWyfwpgCdhgwZwrj33fZozJgxiImJwbRp0yAhIcF3LDs7G9HR0TAxMaEpXfOY/nly//59uiO0S6TAxDJsWF3zsVevXrX4YdizZ0+8evWqDRN9HhuLYh06dPiiPl1MwMblvmzM/OOPPyI8PBySkpKIioqCpKQkjI2N8fr1axw+fBiHDx/G7Nmz6Y7JeoWFhfD19UVaWhpqamoQEhICDocDPz8/uLu7Y8iQIXRH5OPt7f3Zc0pLS6GgoNAGaVqntLQUDg4OyMvLg6SkJLp37466ujpcuXIFqampiI+Px759+/gKOnTr3bs3/vzzT8ycORNAwwXk3bt3ecfLyspQX19PV7xmaWhoMOLLf3vVr18/pKSkCBw3X1tbi4SEBN7KU+Lf69+/P86dO8f7jNPQ0MCtW7d4x0tKShg3sa9v376IiIhARUUFCgoKwOVyoaysjM6dO9MdTSAm9bBqz5YuXYorV67A3Nwcurq64HA4iIyMREhICK5duwY5OTnGNlpvb58ndXV1pNn3Z5DfDsuwbXWNkpIS392iT2VmZgpsMksnNhbFNm3ahNWrV6O6urrFPfDq6uo0pBOMjct92ZjZw8MDJSUl2LZtG6SkpLBlyxbIyMjg5s2b8PX1xdChQ7Fw4UK6Y7JaYWEhpk+fjrq6OgwfPhyXLl0C0NDHKDc3F/PmzUNERATjJhDGx8e3ON0sLy+PrxhCNz8/Pzx58gTr16/HjBkzICoqCqDhgjwiIgK//fYbfv/9d0Y1zZ42bRrWrVuH9+/fY/v27TAyMsKRI0ewY8cOaGpqIiwsjNZCAtsm1bYXzs7OcHFxgZubG2/yYX5+PsrLyxESEoLc3Fzs3r2b5pTsN2fOHLi5ucHKygphYWGYPHkyYmNjsXz5cqirqyMsLAw//PAD3TEF6tixIzp27Eh3jGa9evUKWVlZqKurw4ABA6CiokJ3pHata9euOHr0KPz8/JCamgqKopCamgpJSUmMHz8ey5cvp30asJ+fH8zMzKClpcV7/DkcDgfLli371tG+yI0bN1r8bnTz5k1cv36dxoTMRwpMLMO21TWTJk3CgQMHoK+vz7uDz+FwwOVyERYWhhMnTmDBggU0p+THxqLYokWLwOVyERQUhP379zd7HlNG8QLsXO7LxsyysrK8BsMyMjK8bVv9+vVDREQE9PT0yPL2/2jHjh0QERFBQkICxMTEeIV/fX19nDhxAnPmzEFAQAD27dtHc9J/HDhwAL/99huEhIQgLS2NqqoqdOrUCa9fv0ZdXR0kJCRgbW1Nd0w+qampsLGxabKKUExMDE5OTsjPz8eJEycYVWCaMWMG/v77b4SHh0NUVBRjx46Fubk5731aVlYWK1asoC1fe5hUy0YGBgbYunUrvLy8kJqaCgDYuHEjKIqChIQE1qxZA2NjY5pTsp+xsTG8vLwQEhICKSkp6OnpwcXFBYGBgQAAZWVlRr1fAEB0dDROnDiB0tJSgasbORwOzp07R0OyBhRFYdu2bYiMjOTLN378eHh7e7e49ZP4b7p06QIfHx9QFIWysjJwuVzIy8tDWFiY7mgAgKCgIPTu3ZtXYAoKCvrszzCtwHT06FH8+uuvvM/ETz8fRUVFMXLkSLrisQYpMLEM21bXuLq6IisrC25ubpCWlgaHw8HatWtRUVGB6upq6OjoMKpfDcDOopiLiwvrigRsXO7LxsyNPu3NJi0tzbtzy7StUGyTnp4OOzs7dOvWrUnhX0VFBba2tggNDaUnXDPi4+PRu3dvRERE4PXr1zAxMcHhw4fRuXNnREZGYvv27dDX16c7Jp/379+3OClu4MCBOHHiRBsmap3FixfD1dWVt6R++/btmDlzJioqKjBkyBBa+yaydQJpe2BlZQUTExNcvXoVBQUFoCgKysrKGDlyJKNXrrCNlZUVrKyseI8bG2lXVlaiV69evJWQTLB7924EBARASkoKPXv2ZFS2RpGRkQgNDcWgQYNgZmYGISEhpKen48yZM5CSkiJb5r6x8vJyXLt2DcXFxTAzM0NlZSXKy8v5JkvTJTU1le/zrLF4ziaRkZFQUlLCnj17UFdXh+nTp+PcuXOgKAqhoaGIjY3FTz/9RHdMxiMFJpZh2+oaMTExBAcH4/jx4zhz5gxvP7mOjg6MjIz4tjkwBRuLYosXL6Y7whdjw3LfT7ExM8C+rVBsU1NT02KBTlJSEm/fvm3DRJ9XVFSEpUuX8rZhyMnJITMzE+bm5nB0dERWVhYOHjwIIyMjuqPyGBgY4OTJk7C2thbY/yA1NRXDhw+nIdnniYiI4MWLF3j27Bk0NDQwePBgiIiI0N7/hY2T+doTGRkZmJqa0h3ju9O9e3d0796d7hhNHDt2DLq6uggODoaUlBTdcQQ6fvw4Ro4cif379/PevxwcHLBp0ybExcVhw4YNTVZ4E19HWFgYdu7ciZqaGnA4HAwaNAhv376Fm5sbbGxs8Ouvv9J6s/nT779M/D78OU+fPoWLiwtvFZa0tDSys7MxceJErFu3Do8ePUJgYCAOHDhAc1JmIwUmlmHb6pqioiL06NGjyR0kJmNjUazR69evkZ6ejuLiYggLC6Nnz57Q19dn3DSrRkxf7isI2zIfOHAAO3bsAIfDYc1WKLbR1NTElStXBDZLpygKp0+fZlyDSyEhIcjIyPAe9+zZE/fv34e5uTkAYMSIEbT3gLly5QrfY0NDQ2zcuBE2NjaYO3cuNDQ0wOFwUFRUhEOHDuHu3buMHB2clZWFzZs388Z0h4SEgMvlYs2aNfDw8MCECRNoTsiPTZNq2cLf3/+Lf4bD4WDRokXfIM33Y9y4cS1ecHM4HIiJiUFBQQGDBw+Go6Mjrat5S0tL4erqytjiEtBwAb5y5comxfFp06YhOjoajx8/Rv/+/WlK134lJyfD29sbxsbGMDExwapVqwA0NIUfPXo0oqOjoaGhIXBwAJ3q6+tx/fp1vHr1iu8G58csLCzaNlQLuFwuFBUVeY8bvxtNnDgRQMNWUCa1O2AqUmBiGbatrjE2NsbQoUNhbm6OCRMmQE5Oju5In8XGohjQsNd57969qKmp4ds7LCsri7Vr1/IuHJmCoigUFRWhvLwcHA4H8vLyjL/bwcbM8fHx6NWrF6u2QrGNvb093N3d4e3tzVvxU11djTt37mDfvn3IzMzEpk2baE7JT11dHf/73/8wY8YMAA1foj7u0VZTU0P7qquffvqpycUhRVG4c+cOli9f3uR5AHB0dGRUr7mcnBw4ODhAXl4e1tbWiI2NBdCwcoWiKPzyyy+QkZHBqFGjaE7agG2TatlCUIGp8bX9af+rj1/zpMD03+jr6+PcuXOorKzkm2SVn5+Phw8fQkJCAlpaWigtLUVISAgSExNx5MgR2l7f6urqePbsGS1/dmu9e/dOYAGscffEmzdv2jrSd+HAgQP44Ycf4O/vz7cVv0ePHggKCoKTkxMOHTrEqALTvXv34OzsjJcvXzbb54/D4TCqwKSiooK8vDze48YC08dev37d1rFYhxSYWIZtq2sWLlyIU6dOwdPTE1u2bMGYMWMwdepUGBoaMnZVDRuLYnFxcfDz84O2tjbs7OygpqaG+vp6PHnyBOHh4XB3d4esrCwMDQ3pjor79+8jKCgIaWlpqKqq4jsmKysLIyMjODk5MWI/eSM2Zm7Exq1QbGNhYYGioiLs2bOH19OmcdsqRVGYN28er5DDFJMmTcJvv/0GcXFxLFu2DKNGjcLq1asRGxsLTU1NREZG0v569vb2pvXP/xp+//13dOnSBfHx8aitrUVMTAwAQFtbG4mJiZg9ezb27dvHmAIT2ybVssWpU6f4Hr98+RJubm4YM2YMHBwcoKmpCYqiUFBQgPDwcFy+fJnXiJr49wYNGoTExET4+/s3aZqenp6OhQsXYtasWbC0tMT9+/fx008/YdeuXfDy8qIlr7OzMzw9PTFu3DgMGjSIlgyfw+VyBa4Ka1zR1NwqFeK/ycvLw8qVK5s9Pn78eGzbtq0NE33etm3bUFFRgUWLFqF///6Muj5tjrGxMUJDQ6GkpITZs2fjhx9+gJeXF9LS0qCpqYnDhw+TiYmtQApMLMO21TVLlizBkiVLcPfuXZw8eRLJyclITU1Fhw4dYGpqCnNzc8b1gGBjUSwsLAx6enoIDw/nW7aso6ODyZMnw9bWFnv27KG9wBQTE4OtW7eCy+VCV1cXffr0gZycHOrq6lBRUYGcnBzEx8cjMTERnp6ejLgoZ2Pmj7FhK1R74ObmhqlTp+Ls2bO8wn+PHj0wbtw49OrVi+54TcydOxcPHz5EZGQkli5dCjMzMxw5cgQbNmwAh8OBsLAw1q1bR2tGS0tLWv/8ryEzMxPOzs6QkZFp0gC+Y8eOsLa2xp49e2hK1xTbJtWyxadbZL29vaGrq9tkS2f//v3h4+ODJUuWwNfXFxEREW0Zs90JCQnBnDlzBE7k09fXx5w5cxAYGAhLS0toaWnB2toacXFxNCRtkJ6ejg4dOmDmzJno3r07FBQUBPZpa1wJSXw/JCQkWlxV/PLlS8Zdo2RlZcHJyQlubm50R2m1BQsWIDMzE97e3rxr7aioKF77GYqiSCP7ViAFJpZh4+oaoGG6z8CBA+Hu7o4bN27wCk1Hjx6FkpISzp8/T3dEHjYWxYqKimBjYyPwi4ioqCjMzc3x22+/0ZDsHzdu3MCmTZugra2Nbdu2NTsN6smTJ1i/fj08PT3Rq1cv6OrqtnHSf7Ax86fYsBWK7Y4fPw49PT2oqKjA0dGxyfFHjx7h3LlzcHZ2piGdYMLCwvDx8cHKlSshKSkJoGEJflJSEioqKjBq1ChGFsbYhsvltji2u76+HrW1tW2YqGVsm1TLVhkZGbweKoL8+OOP2L59exsmap+eP3+OHj16NHu8a9eufFvSunXrhsrKyraIJtDVq1cBNAz0oSiKsX/XKioqUFJSwvdc4++trKysyTEAjGyqzibDhw9HXFwcbGxsmhwrKSlBdHQ0465NxMXF0aVLF7pjfBEpKSlEREQgOzubd3M2OjoaYWFhqKyshKGhIUaOHElzSuYjBSaWYePqmk916tQJioqKUFRUxIsXL5psOWIKNhXFVFVV8eDBg2aPFxUVQUlJqQ0TNRUaGgoVFRWEhoa2OGFEXV0dwcHBmDx5MsLDw2kt1rAx86fYsBWK7Tw8PODr69vshcyff/6JgIAARhWYgIbixp07dzBixAiIi4tDVFQUUlJSkJaWJq+Jr6Rfv35ISUkR2BejtrYWCQkJ6NevHw3JBGPbpFq2kpOTa7FXWEZGBq3NptsLdXV13uTJTwdxcLlcnDp1iu/GUW5uLq2vbyZ9r2yJl5dXs9sIV6xY0eQ5DofDG3JA/DtLly7FzJkzYW5ujtGjR4PD4SAlJQWnT59GYmIiKIpi3EqhsWPH4syZMwIHoDDdx1tUO3TowLjfLdORAhPLsHF1DdCwwuPUqVNITk7Go0ePICIiAgMDA7i4uNC+bas1mF4UW7VqFdzc3KCqqgp7e3u+YuPx48cRGxv7r6bYfE137tyBtbV1q8bXiomJYdKkSYiPj2+DZM1jY+ZPsWErFNvk5+dj9erVvMcURWH37t2IjIxsci6Xy0VeXh7j7uKVl5djwYIFuHv3Lo4ePcqb+pOUlIQzZ85AX18fAQEBvNVNxL/j7OwMFxcXuLm5Yfz48QAaXj/l5eUICQlBbm4uo7aosm1SLVuZmZkhNDQUXbp0ga2tLW8y3/Pnz7F//36kpKRgyZIlNKdkPycnJ6xcuRI2Njawt7eHmpoaxMTE8PTpUxw6dAh//fUXr1Di7++P2NhY2Nvb05ya2drD1mU20tDQQFRUFLZs2YJDhw4BAO9/Bw0ahHXr1rW4+pQODg4OWLRoEVxcXDBhwgTIy8sL3GnBlB6Eje7cuYOcnBzehOUDBw7gwIEDEBERwdy5c/HTTz/RnJD5OFRzbd0J1vh4dc3Lly8ZtbomKCgIp06dwoMHD0BRFHR1dTF16lRMnDiR8dv7miuKmZubM27FmI2NDQoKClBaWgopKSmoqKhAREQERUVFqKyshLCwMDp27Mj3MxwOB2lpaW2WceDAgV/Uo6ixCHL37t1vnKx5bMzcnNLSUt4d8Q8fPpCtUP/R+vXrceXKFQDAs2fP0LFjR4HFGGFhYSgoKODnn39m1LS+jRs3Ij4+HmvWrIGFhQXv/ez9+/dISkrCpk2bYGdn12RaG/Hljh07Bi8vL1RXV4OiKHA4HFAUBQkJCSxfvhx2dnZ0R+Spra2Fs7Mz/vzzT0hLS6O6uhrdu3fnm1T7uRWdxOe9f/8erq6uuHbtGjgcDu/32TgFdtKkSfD19RV4MUZ8mejoaPj5+aG6upr3HEVRkJKSwvLly2Fra4vXr19j2LBhGDZsGPbs2cPXt/BbavzzG4u5rX2//bR3F/F9qaio4PV6VFZWRufOnemOJJCWlhbv3wU1hm/8PGTS5NdLly7B1dUVKioqOH36NG7evIk5c+bwfs+3b9/Gpk2bGNdvlWnICqZ2gMmra/z8/NCzZ08sXrwY5ubmLe6FZwpBRTFPT09GF8WEhYWhrq4OdXV1vud79+5NU6Km6urqvuiiRExMDPX19d8w0eexMXNzFBQUQFEUSktLISIiwqixsGy0adMm3r9raWlhzZo1mDJlCo2JvszFixfh4OCAmTNn8j0vLi4OKysr5OXlITk5mVEFpoyMDAwaNIh1xQ0rKyuYmJjg6tWrKCgoAEVRUFZWxsiRI5sU/unGtkm1bCUuLo6QkBBcunQJly5dQnFxMYCGEdkmJiaMXInOVjY2NrCwsEB6ejoKCgrw4cMHqKmpYeTIkbxCkoSEBC5duoSuXbu2abakpCQYGhryCkxJSUmf/RkOh0MKTN+5xqnATOfl5SWwsMRk+/fvh4aGBg4ePAigYReIsLAwIiMjoaSkBDc3N8TExJAC02eQAhNLsWXLWVxcHAYPHkx3jC/CxqLY3r172+yOG8E+jx49wq5du5CWloaamhoAgKysLIyNjbF06VLG3v1ii/v379Md4YuVl5e3uG1PRUUFL1++bMNEn7d48WJMmzatxVHNTCUjIwNTU1O6Y3wW2ybVsp2BgQEMDAzojtHuSUlJwcjIqNnjYmJibV5cApp+drDxs4RoO9HR0Thx4gRKS0sF3szkcDg4d+4cDckEY+NnSE5ODpYtW8b7Xnz58mX079+f18d29OjR8Pb2pjMiK5ACE8uwbXVNY3EpNzcXFy9eRHFxMezt7SElJYWHDx9izJgxNCdsio1FsalTp2LmzJmMayL8KUGTR5rz6YhsurAx88dycnIwZ84c1NTUQF9fH6qqquByuXjy5AmOHTuGtLQ0xMbGkgkv/9GzZ8+Qk5PDu4g5deoUgoODISIiAgcHB5iZmdGckF/Pnj1x8eJFgc2ngYZl4ioqKm2cqmW1tbVQVlamO0aL/Pz8vvhnOBwOli1b9g3SfDm2Tqplo+rqaqSnp/O2Tjaqq6vjHQsMDKQxIUEQTLF7924EBARASkoKPXv2ZNVKUjZdA3I4HIiLiwMAHjx4gBcvXvAVyt69e8e6VdR0ID2YWEZLSws9e/aEubk5a1bXeHl5ISIigrfXNiQkBG/evMGSJUswduxY7Nq1i1H9jBqx6Q1x0KBBWL9+PaOXbGppaf2rpbJ07s1mY+ZPOTk54X//+x/Cw8PRp08fvmN37tyBk5MTRowYgV27dtGUkP1u376NuXPnQklJCadOncL9+/dhZWUFaWlpSEtL4/nz59i9ezeMjY3pjsoTExODjRs3wszMDPb29lBVVYW4uDjy8/MRFRWFY8eOYc2aNYzqDxQQEICjR49i06ZN+PHHHyEiwrx7ZB/3nGgtJvWg+OOPP3Dq1Ck8ffoUoqKirJxUywaZmZlwdnZu0hcI+KdXiaysLK5fv05LPoIenxvGwuFwICYmBgUFBQwePJj0T/yOjB07Ft26dUNwcDCkpKTojtNqbLsGnDFjBhQUFBAYGIjNmzcjOjoacXFxGDRoEN6+fYvZs2dDVlYWERERdEdlNOZ9OyNaxLbVNVFRUQgPD4ednR1MTU0xZ84cAICenh6sra0RGxuL4OBguLq60pyU36dviBMmTGD0G+LYsWORmJiI8ePHM3ZfNhsnj7Ax86f++usvuLi4NCkuAQ0rDO3t7REaGtr2wdqR3bt3Q05ODtu2bQPQ0OydoihER0dDXV0djo6OCA4OZlSBafbs2Xj06BGioqKQnJzMd4yiKNja2jKquAQAN2/eRHl5OebPnw9hYWHIyso2aYLc1sMLPpWamkrbn/01sHVSLdsEBASgvr4e7u7u4HA48PLyws6dO1FdXY3Y2Fjk5eXhyJEjdMck2tjevXtBURTvn481Fh4/LkRaWlrypuAR7VtpaSlcXV1ZVVxi4zXgTz/9hF9++QV6enqoqqrCsGHDMGjQIGRnZ8PV1RXl5eXYs2cP3TEZjxSYWIZtW85iY2NhZGSEtWvX8m0fkpeXx4YNG1BZWYnExERGvbmw8Q1RXV0daWlpGDduHAYMGAAFBQUICws3OY/OxpBs3LPMxsyfkpKSEvhaaCQvL8/IlSBscvv2bbi4uGDQoEEAGraX9erVi9dkf8KECfjtt9/ojCjQr7/+itmzZ+PChQsoKSlBfX09lJWVYWhoKLAgSbe6ujoMHDiQ7hgtYvoWvtYaOHAgBg4cCHd3d75JtUePHmXUpFq2ys7OhrW1NRwcHFBXVwdfX19IS0tj4sSJmDx5MiwsLODv788rWhPfh/j4eNjZ2UFPTw/Ozs7Q0NAAAOTn5yM0NBTnzp3Djh07oKioiKSkJN7K5Llz59IbnPjm1NXV8ezZM7pjfBE2XgOampoiJCQEKSkp6NatG6+NgIyMDDQ0NPDTTz8x7lqbichVBQuxaXXN06dPYWNj0+xxfX19xn1RZeMb4r59+3j/npGRIfAcMnnk+zRt2jRERERgypQpTZqYvnnzBjExMTA3N6cpXftQV1cHWVlZAEBBQQEKCwsxb9483nGKolos8tFJU1MTmpqadMdoFbIknR5MnlTLVu/eveP9vRMREYGamhru3buHMWPGQEJCAlZWVoiLi6M5JdHWvL29MXDgQAQEBPA9P2DAAPj6+mLhwoWIiopCcHAwBg8ejMrKShw9epQUmL4Dzs7O8PT0xLhx43g3s5iOjdeAADB8+HAMHz6c7zl1dXWEh4fTlIh9SIGJZdi2ukZWVhalpaXNHs/Pz0eHDh3aMNHnsfENkUweIRp92mS4rq4Or1+/xsSJE2Fubg51dXUICQmhqKgIp06dQn19PVRVVWlK2z6oqqoiMzMTM2bMQEJCAjgcDsaOHQsA4HK5SE5ORs+ePWnNeOjQIV6T98bHrTFr1qxvGetfKykpQXFxMcTExNCtWzdaJkC1Z2yZVMtWnTt35vtupKKigtzcXN7jTp064dWrV3RE+67U1NSgrKwMYmJiUFRUpDsObt26hVWrVjV7fNSoUdi+fTvv8dChQ5GSktIW0Qiapaeno0OHDpg5cya6d+8OBQWFJlvEgYab5EzBxmtA4usgBSaWYdvqmjFjxiAmJgbTpk1r0nU/Ozsb0dHRMDExoSmdYOQNkWCzoKCgZo8198XDy8uLcf122MTa2hobN27E//73Pzx+/Bh9+vTBsGHDkJubi1WrVuHBgwfw8fGhNaOnpyd8fX15BSZPT09wOJwmfT4+xuFwGFdgys7OhqenZ5Om2AMGDICnpydr7uwyFdsm1bKVvr4+YmJiYGBgAC0tLQwcOBAREREoKyuDvLw8Ll26BHl5ebpjtntnzpzB6tWroaSkBFFRUezbt4/WmwGysrJ4+PBhs8fz8vL4evC8fv0aMjIybRGNoNnVq1cBAEpKSqAoihUFaDZeAxJfBykwsQzbVtcsXboUV65cgbm5OXR1dcHhcBAZGYmQkBBcu3YNcnJyWLJkCd0x+bD1DbGyshKBgYG4cOECnj17hsDAQEhISCA8PBw///wz7SsoiLbB9ibDbDR79mxISkri1KlT0NXVxaJFiwA0bI2rqqrCxo0bMXXqVFozhoeH822FY+NS79zcXNjb2wNoWFmlqamJ+vp6PHr0CCdPnoS9vT2OHDnCmi1/TOTn54eePXti8eLFrJlUy0YLFy7EhQsXYGlpiatXr2LWrFkICQmBiYkJOnbsiOLiYsyfP5/umO2eoqIi9PT0EBERgbNnzyIrK4vW70omJiaIiYmBhoYGZs+ezeuPSFEUEhISEBcXh2nTpgEACgsLedOtiPaPSdd2rcXGa0Di6+BQLd2+JBhn5MiRmD17Ntzc3FBeXg59fX0cPHgQ+vr6AABfX18kJCTgypUrNCf9x4sXL+Dn54fU1FS8efMGACApKQkDAwMsX74cKioqNCfk9/z5c0yfPh01NTXQ1dXlNc+ura3lvSEePnyYUc1cS0tLYW1tjZKSEvTq1Qu5ubkICQlBTU0NFi5cCDk5OURHR/MaRhIE8fU0rjogvq1FixYhKysLR44cgZKSEt+xkpISzJgxA8OGDcPOnTtpSsh+d+7cYdWkWjYrKytDfHw8nJycAAA5OTnw8fFBZWUlDA0NsXjxYjKA4T/avHkzDA0NMXr0aLqjtEp1dTWcnJyQlZUFKSkpKCsrQ1RUFIWFhaiqqoK2tjb2798PCQkJ6OjoQEREBFFRUYwffkB8v9h2DUh8HaTAxDIeHh64fPkyjhw5AgkJCb4CU3Z2Nuzt7WFiYsLIySMURaGsrAxcLhfy8vKMbXoLsO8N8ddff0VSUhIiIyOhpKSEESNG8F4XWVlZcHZ2xogRI8iF13equroa6enpqK6u5tsSVVdXxzsWGBhIY0J2GzhwIEaNGoUpU6bAyMioycpHJnjy5Mm/+jl1dfWvnOTfGzZsGOzt7eHm5ibwuL+/P6Kjo3Ht2rU2TtayDx8+IC4uDufPn0dJSQm8vLwgISGBpKQkODo6MrI4yZZJtWzH5XL5+qi8ePECioqKAnurEF9OW1sby5cv5618ZAMul4vExEScPXsWBQUFqKurg5qaGkxMTGBhYQEhISFUVlYiKioKEydOZNR7NPH1LF++HLa2thgyZAjvcWswdZgPW64BT548iaFDhza5iUV8GXJrhGXYttyQoigUFRWhvLwcHA4H8vLyjFr505wuXbrAx8eHNW+IFy9exJw5czBgwAC+3lwAoKOjA1tbWxw+fJimdASdMjMz4ezsjOrqat5zjRMoGzVOQCP+HQcHByQnJ2P58uWQlJTE+PHjMWXKFIwcOZIxF4oTJ07k+2/eWp/2OqJTTU1Ni32A5OTk+F7nTFBdXY158+bhzp07kJOTw+vXr1FTU4O///4bBw4cwOnTpxEZGcmoJuVsmlTLZmFhYQgKCkJsbCzvppWfnx8uXLgADw8PWFhY0BuwHejWrRtevHhBd4wvIiQkBAsLixb/+8vJyWHhwoVtF4poc0lJSTA0NOQVmJKSkj77M0yeFs3hcCApKYnc3FyUlZWhb9++dEcSaMOGDbC3t2fUtTQbkQITy3Tt2hVHjx7lra6hKAqpqam8i5rly5czooBz//59BAUFIS0trclIY1lZWRgZGcHJyYmRvTLYWBR7/fp1i70yFBUVUVlZ2YaJCKYICAhAfX093N3dweFw4OXlhZ07d6K6uhqxsbHIy8vDkSNH6I7JaitXrsTKlSuRmZmJpKQknD59GomJiZCXl4eZmRmmTJkCbW1tWjMuWrToXxWYmKRXr144c+YM5syZ0+T/C0VRSElJYdxnir+/P3JycuDv748hQ4ZgxIgRABoKfhRFwcPDA/7+/ti8eTPNSRuwbVItWx09ehTe3t4YMmQI3za4CRMmoLi4GB4eHpCRkYGxsTGNKdlvxYoVcHd3x7NnzzBq1KhmbxSOGjWKhnTNy8/Px6tXr8DlcgUe/+GHH9o4EdHWPp0OzZZp0ZWVldi3bx+ysrIQHR3Ne/748ePYunUr75pQVVUVPj4+0NXVpSuqQMLCwuSm61dAtsixGFNX18TExGDr1q3gcrnQ1dVFnz59ICcnh7q6OlRUVCAnJwf37t2DsLAwPD09MWPGDLojA2B3UWzy5MkYOHAgfHx8BPbmcnV1RWFhIU6ePElzUqKt/fDDD5g+fTpWr16Nuro66OrqIiAgAGPGjEFNTQ0sLCygra3NyG21bMXlcnHt2jWkpqbi8uXLKCkpgYqKCqZOnQpLS0t0796d7oisFB8fDw8PD4wZMwYLFizg9ZR79OgRgoKCcOXKFWzZsoXXBJcJxo4di3HjxmHdunUC35u3bduG06dPM6aB65QpU6CqqoqAgACBeZctW4b79+8jOTmZ5qTsNnXqVCgpKTW7Nfmnn35CZWUlWXn8H2lpafE9FlSY5nA4jFmpWVRUhGXLluHu3bsCjzMtL0F8rLq6GjNmzMDjx4/RuXNnXLhwASIiIrhz5w6sra3B5XJhbW2N3r174/jx48jLy0NCQgJvui0THD58GH5+fli6dClGjRoFBQUFgSvRySrelpEVTCzD9NU1N27cwKZNm3gXrGpqagLPe/LkCdavXw9PT0/06tWL9gp2a4pi8fHxSExMZFRRrNH06dOxfft29O/fH2PHjgXQ8EWqtLQUe/fuxcWLF1u9f5toX969e8crioqIiEBNTQ337t3DmDFjICEhASsrK8TFxdGcsn0REhJCjx49oKysjC5duqC4uBjPnz9HUFAQ9uzZg0mTJmHdunXo0KED3VHx6NEjXLp0CcXFxRAWFkbPnj1hZGTEqC1bjSwtLZGXl4eDBw8iLS2tyXFHR0dGFZcA4NWrVy1uBejZsyejxk2zbVItWxUUFMDW1rbZ48bGxqTo/xV4e3vTHeGLeHt743//+x8sLCzQv39/iIqK0h2JYAh/f/8Wj3M4HIiJiUFBQQGDBw9Gr1692ijZPw4ePIj8/Hz4+fnBzMyM9/yePXtAURTs7e2xZs0aAA3XLVOmTEFQUBC2bNnS5lmbs3//frx79w4bNmxo9hwOh4OcnJy2C8VCpMDEEmxZXRMaGgoVFRWEhoa22OhWXV0dwcHBmDx5MsLDw2ktMLG1KPYxBwcHPHjwAF5eXrwvVC4uLnj//j0oioKJiQkcHR1pTknQoXPnzigtLeU9VlFRQW5uLu9xp06dGHWBy2ZFRUVITk5GcnIy7w7zDz/8gC1btmDChAkAgCNHjuC3337DmzdvsHfvXtqyUhSFDRs24PDhw022YXh7e2PRokVwcXGhKV3zVq5ciWnTpuH8+fMoKioCRVHo0aMHjIyMGDklU0lJie/v26cyMzPRrVu3NkzUMllZWb73i0/l5+czojDKdrKysi023i8qKoKUlFQbJmqfLC0t6Y7wRdLT02Fra4u1a9fSHYVgmL1794KiKN4/H2tcmdf4PIfDgaWlJby8vNo049mzZ2Fubs5XXHr37h2uXr0KAHw3L8TFxWFubo6jR4+2acbPGTJkCOvbCTABKTCxAJtW1zQug2zNFCUxMTFMmjQJ8fHxbZCseWwsin2Kw+HA29sbFhYWOHPmDAoKCsDlcqGsrAwjIyMYGBjQHZGgib6+PmJiYmBgYAAtLS0MHDgQERERKCsrg7y8PC5dusTIKVZsEhoailOnTiE7OxsURaF3795YtmwZzM3NmxQP5s6di+vXr+PPP/+kKW2DoKAgHDp0CCYmJpg3bx7U1NRQX1+PJ0+eICQkBLt27ULXrl0ZeYGmoaHByGKSIJMmTcKBAwegr6/Pa9bK4XDA5XIRFhaGEydOYMGCBTSn/MeYMWMQExODadOmNfk8zM7ORnR0NExMTGhK134YGBggOjoa+vr6TSbz3bx5E5GRkXwXacR/w5apiEJCQujduzfdMQgGio+Ph52dHfT09ODs7Mz7DMzPz0doaCjOnTuHHTt2QFFREUlJSQgPD0efPn0wd+7cNstYWFiIWbNm8T138+ZNfPjwAT169EDPnj35jnXv3p1xNzh9fHzojtAukAITw7FtdU1FRcUXba1QVlam/c2FjUWxT2VkZEBTUxPDhw/H8OHDmxx/9uwZMjIyYG5uTkM6gk4LFy7EhQsXYGlpiatXr2LWrFkICQmBiYkJOnbsiOLiYsyfP5/umKzm4+ODzp07Y+7cuTA3N0e/fv1aPL9Pnz609xw4fPgwxo4diz/++IPv+c6dO2PYsGFwcnJCSEgIIwtMbOLq6oqsrCy4ublBWloaHA4Ha9euRUVFBaqrq6Gjo8Oohtlsm1TLVkuXLkVaWhqcnZ2hpqYGNTU1iIuL4+nTp3j48CGUlJSwbNkyumO2C2yaijh8+HBcuXIFM2fOpDsKwTDe3t4YOHAgAgIC+J4fMGAAfH19sXDhQkRFRSE4OBiDBw9GZWUljh492qYFJkGrqxpvpjUOuPhYRUUFY1dqfvjwAVlZWSguLoaYmBi6desGHR0dxkwGZjryW2K4j1fXNFdcAv5ZXdOjRw+Eh4e3YUJ+dXV1rSrUNBITE0N9ff03TPR5bCyKfcre3h7Xrl1r9nhaWhrWrVvXhokIpujRoweSkpKwYsUKyMvLQ1FREREREejfvz+kpaWxYMECcsH4HwUHB+PSpUtYvXr1Z4tLQEOjZA8PjzZI1ryXL19i9OjRzR43MjJCQUFBGyZqn8TExBAcHIytW7dCT08P6urqEBUVhY6ODtavX4+IiIgv+sz81hon1RoZGeHWrVu8SbU3b97E+PHjcejQIUb1fWQreXl5JCQkwMnJCSIiIrhx4wYuXryI2tpazJ07F8eOHSP9d76CxqmIc+bMQWRkJO/it3Eq4oULFxAcHExzyn94eHggOzsbmzZtQkZGBh49eoQnT540+Yf4/ty6dQtGRkbNHh81ahQyMzN5j4cOHYrCwsK2iMajrq7epDfRuXPnwOFwYGho2OT8y5cvQ11dvY3StV5qairGjRsHe3t7uLu745dffoGtrS3GjBmD1NRUuuOxAlnBxHDtYXUN07GxKJafn8+38oCiKERGRuLChQtNzuVyucjMzCRjN79TJSUlkJeXh5OTE++5/v378wrRr1+/xq1bt8jY4/9g5MiRfI/fvn2L3NxcSEhINJlixBR9+/bF9evXm23onJOTQ3tPv/ZCSEgIVlZWsLKyojtKq3Tp0gU+Pj6MnVTbXsjKymLFihVYsWIF7zkul4srV67A09MTFy9exO3bt2lMyH6xsbEwMjLC2rVrUV5eznteXl4eGzZsQGVlJRITExmzitDU1BQURSE6OhoxMTHNnkemyH1/ZGVl8fDhw2aP5+Xl8a0Gev36NWRkZNoiGs+kSZPw+++/Y8SIERgxYgRiYmKQn5+PLl26NLmhdfjwYVy/fp1xA4hu3ryJn3/+GYqKivjll1+gqamJ+vp6PHr0CNHR0fj5558RGRkJHR0duqMyGikwMRwbV9dUVFSgpKSkVed+/IFPtJ6amhoqKip4jfM4HA6ysrKQlZXV5FwhISEoKChg1apVbZySYAIjIyP4+vpi8uTJAo+fPn0aXl5euHXrVhsnY7fKykrs27cPWVlZiI6O5j1//PhxbN26lTeMQVVVFT4+Pozq2QYA69evh5OTEzZu3AhXV1d06dIFAFBVVYXQ0FAkJSUhODgYtbW1fD/HlK0kbJOfn49Xr141aajeiCkFXqZPqm2vCgsLcfToURw/fhzPnz8HRVGkN95XwLapiC4uLqTBMCGQiYkJYmJioKGhgdmzZ0NEpOESnqIoJCQkIC4ujjdFtbCwEHFxcRg0aFCbZrS3t8fly5exfPlycDgcUBQFMTExeHl58VZkJicnIywsDLdv30bv3r1hb2/fphk/Z8+ePejevTuOHTvGV6AbP348bG1tYWVlhb1792Lfvn00pmQ+UmBiODaurvHy8mrzyQX/FRuLYh8v69bS0oKvry+mTJlCYyKCCQoLC3H48GHeY4qikJSUJHCSFZfLxaVLlyAuLt6WEVmvuroas2fPxuPHj9G5c2fU1dVBREQEd+7cwZo1a8DlcmFtbY3evXvj+PHjcHR0REJCAu19lz62aNEi1NXVISYmBrGxsZCRkYGIiAgqKioANLxuPh2jTkbzfrmioiIsW7YMd+/eFXi8sS8M3SsS2DKptj15//49UlJScPToUWRkZABoeD3o6OjAxsaGN3mS+PfYNhVx8eLFdEcgGKrxc2Tr1q3YuXMnlJWVISoqisLCQlRVVUFbWxsrVqzAhw8fMGHCBIiIiGDHjh1tmlFUVBQhISFITk7GrVu3ICMjgylTpqBXr168c+7fv4+cnBxYWFjA3d2dcTetbt++DWdnZ4Grvzp06IAZM2YwalstU5ECE/FVsbUhLBuLYh9LTU0ldzsJAA09l9LT05GdnQ2goShw4cIFgdsnAUBYWJhxS5SZ7uDBg8jPz4efnx/fpKc9e/aAoijY29tjzZo1AIDp06djypQpCAoKwpYtW+iK3IS+vj4r75RXV1cjPT0d1dXVfM1E6+rqeMcCAwNpTMjP29sb//vf/2BhYYH+/fszsq8OmybVtgd37tzBkSNHkJycjKqqKlAUhQ4dOqCqqgqbN28mv9+vqL1NRXz+/Dnu3r3bYi8eon2SlpZGdHQ0EhMTcfbsWRQUFODdu3cYOnQoTExMYGFhASEhIVRWVmLRokWYOHEiLf2NhIWFMXny5GZXzbu4uODnn39mbLPs+vr6Fj+nRUVFm6zsJpoiBSYWYNPqGm9vb1r//H+DrUWxjzVuYWDLNgzi2+FwODh48CAqKytBURSMjY2xZs0agV9IhYWF0bFjR0Y1GWaDs2fPwtzcnK+49O7dO96W1Y+3ZIiLi8Pc3BxHjx5t85wtYeMo3szMTDg7O6O6upr3XOMKoEZM6zWXnp4OW1tbrF27lu4oArFtUi1blZWVITExEUePHkVeXh4oioKioiKmTJkCU1NTKCkpwcTEhNwo+sqYPhWxX79+2L59O9/q85qaGhw4cAAWFhbo0aMH3/nXr1/H6tWraV/xSNBDSEgIFhYWsLCwaPYcOTk5LFy4sO1CfSFJSUm6I7Sof//+OH78OGxtbZusrqqtrUV8fDxje2syCSkwsQDbV9cwHRuLYp9iyzYMom3IyMjwlveGh4dDU1MTCgoKNKdqPwoLCzFr1iy+527evIkPHz6gR48e6NmzJ9+x7t27094bryV3795FcXExhIWF0bNnT77l7EwSEBCA+vp6uLu7g8PhwMvLCzt37kR1dTViY2ORl5eHI0eO0B2Tj5CQEHr37k13jGZ9PKm2pUJz46TayZMnIzw8nBSYvpCBgQHq6urQs2dPzJ07F0ZGRhg6dCivOFpcXExzwvapcSqin58fUlNTeVMRJSUlMX78eCxfvpzWHmOfjnQHGm5WBAQEYOjQoU0KTARBbiR/Wz/99BMWLlyImTNnYt68ebxVYI8fP8bBgwfx8OFDBAQE0JyS+UiBieHaw+oa4ttjwzYMgh7Dhg0D0NCU+t27d3xfSurr61FdXY1r167B0dGRroisQ1FUkwuDP//8EwAwYsSIJudXVFTwTXdhiqSkJGzbtg0vX77ke15TUxPr1q3D8OHDaUomWHZ2NqytreHg4IC6ujr4+vpCWloaEydOxOTJk2FhYQF/f39s27aN7qg8w4cPx5UrVzBz5ky6owhEJtW2jQ8fPkBSUhK9e/dG9+7dIScnx8otqmzExqmIggpPxPeN3EhuG+PGjcP69evh6+sLd3d33vMURUFSUhLr1q3DuHHjaEzIDqTAxHDtYXUN8e0xfRsGQZ+///4bK1euxM2bN1s8jxSYWk9dXb1Js+tz586Bw+HA0NCwyfmXL1+mpRdCS86ePYsVK1ZASUkJS5cuhZqaGurr6/HkyRMcOnQIP/30E+NWqrx7947XZFpERARqamq4d+8exowZAwkJCVhZWSEuLo7mlPw8PDxgZ2eHTZs2YeLEiZCXlxfYe4Ku1wcbJ9WyUVJSEhISEnDy5EmcOXMGHA4HqqqqmDBhAiZMmMC4rZ3tzevXr5Gens63UlNfX59xDYYJojnkRnLbsbGxwaRJk3Dt2jUUFRWBoij06NEDI0eOhJycHN3xWIEUmAiiHWD6NgyCPjt27MDNmzcxbtw4SEhIICkpCfPmzUNpaSkuXLiADx8+kIkYX2jSpEn4/fffMWLECIwYMQIxMTHIz89Hly5dMHr0aL5zDx8+jOvXrzOukfrevXvRp08fxMbGNumJMHfuXMycORO7du1CaGgoPQEF6Ny5M99EKBUVFb7piJ06dWJc8cPU1BQURSE6OhoxMTHNnkfXXWc2TqplI01NTfzyyy/45ZdfcOPGDSQkJODs2bPYt28fgoKCoKioCA6Hw5viSHw9QUFB2Lt3L2pqavhWBsnJyWHt2rUwNzenMR1BtA65kdy25OTkMHHiRLpjsBYpMBFEO8D0bRgEfdLT0zF58mT4+vqiqqoKp06dgomJCXR1dVFYWIjp06fj8uXLGDp0KN1RWcPe3h6XL1/G8uXLweFwQFEUxMTE4OXlxburmJycjLCwMNy+fRu9e/eGvb09zan5PX78GL/88ovAhpsyMjK8AhOT6OvrIyYmBgYGBtDS0sLAgQMRERGBsrIyyMvL49KlS4xrkuzi4kK2QhF8hg0bhmHDhsHT0xPnz59HQkICrly5Aoqi8Ouvv+Lw4cOYPn06zMzMGLm1lk3i4uLg5+cHbW1t2NnZ8a3UDA8Ph7u7O2RlZQWuPCUIJiE3kgk2IQUmgmgHmL4Ng6BPRUUF9PT0ADQUDpSVlZGdnQ1dXV2oqKhg+vTpOHfuHJYtW0ZzUvYQFRVFSEgIkpOTcevWLcjIyGDKlCl8zbHv37+PnJwcWFhYwN3dnXFbMbp06YJnz541e7yyshKdOnVqw0Sft3DhQly4cAGWlpa4evUqZs2ahZCQEJiYmKBjx44oLi7G/Pnz6Y7JZ/HixXRH+Cw2TaptT8TExHhb5CorK5GUlITExERkZWUhKysL3t7eyMzMpDsmq4WFhUFPTw/h4eF834l0dHQwefJk2NraYs+ePaTARDAeuZFMsAkpMBFEO8D0bRgEfTp06IAPHz7wHquqqvJtK1JXV2/xNUMIJiwsjMmTJ2Py5MkCj7u4uODnn38WWOhlgkWLFmHdunUYPHhwk2XgGRkZiIiIwK+//kpTOsF69OiBpKQkxMfH81YqRUREwMfHB5WVlViwYAHtBZ3a2lq+YmJtbW2rfo7OAiSZVEs/OTk52NjYwMbGBoWFhbx+TcR/U1RUBBsbG4Hvw6KiojA3N8dvv/1GQ7J/PH78GBkZGbzHb968AQA8ePAAIiL8l2mPHj1q02wEc5AbyQSbcCgyqoAgWG/37t2t2obh5ubWBmkIJnFxcUFZWRkiIyMhJiYGb29vXLx4EcnJyRASEoKPjw9OnDiBq1ev0h2VaEONjd///vtvqKqqolevXhAREUFhYSHu3bsHMTEx9OvXr8nPxcbG0pC2QUlJCeTl5ZvtGfT69Ws8ePCA1jHN/fr1w/bt2zFlyhQAgJaW1mffmzkcTpOm8W3Fw8PjX/0cGUBCsMGUKVOgq6uLTZs2CTzu4+ODS5cuITk5uY2TNWju/aFxIlhzz5Obhd+fAQMGgKIocLncFj9TyGuDYAKygokg2gG679oTzOXo6Ih58+bB2NgYJ06cgKWlJcLCwmBvbw8VFRWcOHECpqamdMck2lhmZiY4HA6UlJTw4cMHvi+lSkpKAIAXL17QFU8gIyMj+Pr6Nrtq7PTp0/Dy8sKtW7faONk/LCwsoKqqyveYyT2YSKGIaM9WrVoFNzc3qKqqwt7enm+l4PHjxxEbGwt/f3/a8pGbfkRrkX5+BJuQFUwE0Y6Ul5fj2rVrKC4u5jUILS8v5432Jr5P6enpCA0NRWBgIDgcDg4fPgwvLy+8e/cOOjo6+OOPP9ClSxe6YxIEn8LCQhw+fJj3OCgoCGPHjhXY6JTL5eLSpUt4+fIl/vzzz7aMSRAEQ9nY2KCgoAClpaWQkpKCiooKREREUFRUhMrKSggLC6Njx458P8PhcJCWlkZPYIIgaPW5gjOHw4GYmBgUFBQwePBgvt6bxD9IgYkg2omwsDDs3LkTNTU14HA4CAkJwdu3b+Hm5gYbGxv8+uuv5O4HwVNbW4uamhrIysrSHYVgqLq6uiY9QNoSRVGYOXMmsrOzAYA3sa85wsLCWL58ORwdHdsqIkEQDGZnZ/evfi4iIuIrJyGIb+v58+e4e/cujIyM6I7Cao1bERv/+VjjNVTj8xwOB5aWlqSHoQBkixxBtAPJycnw9vaGsbExTExMsGrVKgBA3759MXr0aERHR0NDQwO2trY0JyXaGkVRKCoqQnl5OTgcDuTl5aGsrAwxMTHGTTYj2taNGzdw9uxZvH37Flwul/d8fX09qqurcfPmTVy/fp22fBwOBwcPHkRlZSUoioKxsTHWrFkj8At040qE5voz0SkyMhKnT5/Gy5cv+RruN+JwODh37hwNyQiifSOFIoKtPu3nBwA1NTU4cOAALCws0KNHD77zr1+/jtWrV5MeTP9RfHw87OzsoKenB2dnZ2hoaAAA8vPzERoainPnzmHHjh1QVFREUlISwsPD0adPH8ydO5fe4AxDCkwE0Q4cOHAAP/zwA/z9/fnGSPfo0QNBQUFwcnLCoUOHSIHpO3L//n0EBQUhLS0NVVVVfMdkZWVhZGQEJycnsn3yO3X06FH8+uuvfHfiPr5bJyoqipEjR9IVj0dGRgYyMjIAgPDwcGhqakJBQYHmVK0XGBiI33//HZKSklBTU4OcnBzdkQjiu1RSUoLi4mKIiYmhW7du6Nq1K92RCKJZglbrvnv3DgEBARg6dGiTAhPxdXh7e2PgwIEICAjge37AgAHw9fXFwoULERUVheDgYAwePBiVlZU4evQoKTB9ghSYCKIdyMvLw8qVK5s9Pn78eGzbtq0NExF0iomJwdatW8HlcqGrq4s+ffpATk4OdXV1qKioQE5ODuLj45GYmAhPT0/MmDGD7shEG4uMjISSkhL27NmDuro6TJ8+HefOnQNFUQgNDUVsbCx++uknumPyGTZsGACgsrIS7969E7jq6tq1a4zaIhcXFwcdHR0EBQWR7agEQYPs7Gx4eno2WdkxYMAAeHp6YtCgQTQlI4gvRzrbfFu3bt3i7QIRZNSoUdi+fTvv8dChQ5GSktIW0ViFFJgIoh2QkJDA27dvmz3+8uVLsh3qO3Hjxg1s2rQJ2tra2LZtG9TU1ASe9+TJE6xfvx6enp7o1asXdHV12zgpQaenT5/CxcUFWlpaAABpaWlkZ2dj4sSJWLduHR49eoTAwEAcOHCA5qT/+Pvvv7Fy5UrcvHmzxfOYVGB69eoV5s+fT4pLBEGD3Nxc2NvbAwBmzZoFTU1N1NfX49GjRzh58iTs7e1x5MgRspKXIAgADSv8Hz582OzxvLw8SElJ8R6/fv2at8qa+IcQ3QEIgvjvhg8fjri4uCZboYCGZeHR0dG8u/9E+xYaGgoVFRWEhoY2W1wCAHV1dQQHB6NHjx4IDw9vw4QEE3C5XCgqKvIe9+zZE/fv3+c9Hj9+PHJzc+mI1qwdO3bg5s2bGDduHMzMzEBRFObOnYspU6ZARkYG4uLiiIyMpDsmH3V1dbx48YLuGATxXdq1axekpKRw6tQpbNiwAXZ2dpg7dy42b96MpKQkSElJfXZqFEEQ3w8TExPExcUhIiICdXV1vOcpisLx48cRFxeH8ePHA2iYdBsXF0dWQQpAVjARRDuwdOlSzJw5E+bm5hg9ejQ4HA5SUlJw+vRpJCYmgqIouLm50R2TaAN37tyBtbV1q5odi4mJYdKkSYiPj2+DZASTqKioIC8vj/f40wIT0HBnjknS09MxefJk+Pr6oqqqCqdOnYKJiQl0dXVRWFiI6dOn4/Llyxg6dCjdUXkWLlyIdevWYfTo0RgyZAjdcQjiu5KRkQF7e3soKSk1Oda9e3fMnj0b0dHRNCQjCIKJli1bhrt372Lr1q3YuXMnlJWVISoqisLCQlRVVUFbWxsrVqzAhw8fMGHCBIiIiGDHjh10x2YcUmAiiHZAQ0MDUVFR2LJlCw4dOgQAvP8dNGgQ1q1bh759+9IZkWgjFRUVX9S8VFlZGa9evfqGiQgmMjY2RmhoKJSUlDB79mz88MMP8PLyQlpaGjQ1NXH48GGoqKjQHZNPRUUF9PT0ADQ0/1ZWVkZ2djZ0dXWhoqLC6yO1bNky2jJaW1s3ee7Dhw+wtbWFkpISFBQUICws3OSc2NjYtohHEN+VmpqaFhvry8nJobq6ug0TEQTBZNLS0oiOjkZiYiLOnj2LgoICvHv3DkOHDoWJiQksLCwgJCSEyspKLFq0CBMnToS6ujrdsRmHFJgIop3o27cvIiIiUFFRgYKCAnC5XCgrK6Nz5850RyPaUF1d3ReNahcTE0N9ff03TEQw0YIFC5CZmQlvb29YWVnBysoKUVFRWLBgAYCG5eA+Pj40p+TXoUMHfPjwgfdYVVWVbxufuro6YmJi6IjGI2g7XKdOnXj/Xlpa2pZxCOK71qtXL5w5cwZz5swBh8PhO0ZRFFJSUkj/JYKxHj9+jIyMDN7jN2/eAAAePHgAERH+S/hHjx61abb2TEhICBYWFrCwsGj2HDk5OSxcuLDtQrEMKTARRDvTsWNHdOzYke4YBEEwmJSUFCIiIpCdnc1rUBkdHY2wsDBUVlbC0NAQI0eOpDklP21tbSQmJmLmzJkQExND7969cfHiRXC5XAgJCSEvLw+SkpK0Zjx//jytfz5BEP+ws7ODh4cHnJ2dsWDBAmhoaABouBgPCgrCX3/9hS1bttCckiAECwwMRGBgYJPnBU2FpiiqSRGV+Pfy8/Px6tUrvmm1H/vhhx/aOBG7kAITQRBEO1NRUYGSkpJWnVteXv6N0xBM9nFzyg4dOjC6V5ujoyPmzZsHY2NjnDhxApaWlggLC4O9vT1UVFRw4sQJmJqa0h2zifr6ely+fBkjRoyAuLg4AODMmTMQEhKCkZERuSggiG/E0tISeXl5OHjwINLS0pocd3R0xLRp02hIRhAtY/JncXtWVFTE68MkSGMh7969e22cjF04FEVRdIcgCIIgvg4tLa1/dcFKPiwJNkhPT0doaCgCAwPB4XBw+PBheHl54d27d9DR0cEff/yBLl260B2Tp7y8HAsWLMDdu3dx9OhR9O/fHwDw888/4/Tp0xgxYgQCAgJoX3lFEO3Z48ePkZqaiuLiYlAUhR49esDIyIi3ookgCAIAFi1ahAsXLmDq1Kno378/REVFBZ4nqN8i8Q9SYCIIgmhHPDw8/tXPeXt7f+UkBNE2amtrUVNTA1lZWbqjNLFx40bEx8djzZo1sLCwgJiYGADg/fv3SEpKwqZNm2BnZ4fly5fTnJQgCIIgvm9DhgzBtGnTsHbtWrqjsBrZIkcQ7UBVVRWvjwrxfSOFIqK9oigKRUVFKC8vB4fDgby8PJSVlSEmJsYr3DDNxYsX4eDggJkzZ/I9Ly4uDisrK+Tl5SE5OZkUmAjiK2icnvulZs2a9ZWTEATBRkJCQujduzfdMViPFJgIoh2YOnUqZs6cCWdnZ7qjEARBfFX3799HUFAQ0tLSUFVVxXdMVlYWRkZGcHJyYuQ0qPLy8ha37KmoqODly5dtmIgg2i9PT09wOBx8yeYMDodDCkwEQQAAhg8fjitXrjS5KUR8GVJgIoh24MWLF5CXl6c7BkEQxFcVExODrVu3gsvlQldXF3369IGcnBzq6upQUVGBnJwcxMfHIzExEZ6enpgxYwbdkfn07NkTFy9ehK2trcDjly5dgoqKShunIoj2KTw8nO4IBEGwmIeHB+zs7LBp0yZMnDgR8vLyEBISanKeuro6DenYg/RgIoh2YMmSJSgvL8fu3bvRsWNHuuMQBMEwGRkZ/+rn6BzFe+PGDTg4OEBbWxvbtm2DmpqawPOePHmC9evXIzMzE1FRUdDV1W3jpM2LiYnBxo0bYWZmBnt7e6iqqkJcXBz5+fmIiorCsWPHsGbNGtjZ2dEdlSAIgiC+awMGDABFUeByuS0OzCGDcVpGCkwE0Q7s3LkT4eHh4HA4GDBgABQUFCAsLNzkvB07dtCQjiAIurFxuuDChQuRl5eHxMRESEhItHhubW0tJk+ejAEDBmDnzp1tlLB1tmzZgqioqCbPUxQFW1tbrFu3joZUBPF9+PDhA+Li4nD+/HmUlJTAy8sLEhISSEpKgqOjI1n9TRAEz+7du1v1XcnNza0N0rAXKTARRDugpaX12XM4HA6puBPEdyo2NpbvcV1dHXbt2gV5eXnMmDEDmpqa4HK5KCgowKFDh/D69Wt4eHhgypQpNCUGRo0aBWtr61Z/kdu1axfi4+Nx8eLFbxvsX3j06BEuXLiAkpIS1NfXQ1lZGYaGhujTpw/d0Qii3aqursa8efNw584dyMnJ4fXr1wgJCUFFRQWWLVsGFRUVREZGomvXrnRHJQiCaDdIDyaCaAfu379PdwSCIBjM2tqa7/GWLVvQrVs3HDp0CFJSUnzHbG1tYW1tjbS0NFoLTBUVFV904aesrIxXr159w0T/nqamJiObkBNEe+bv74+cnBz4+/tjyJAhGDFiBABg4sSJoCgKHh4e8Pf3x+bNm2lOShAEHWpra/mm0NbW1rbq55g6uZYpSIGJIAiCIL4zCQkJWLRoUZPiEtDwxcnS0hK///572wf7SF1d3We3xn1MTEwM9fX13zDRv1NdXY309HRUV1fzTbeqq6vjHQsMDKQxIUG0TykpKZg1axaMjY1RXl7Od8zMzAzZ2dk4ffo0TekIgqCbtrY2tm/fzruZNnjw4M9ukeNwOMjJyWmLeKxFCkwE0U68efMGAQEBOHv2LJ49ewYREREoKSnByMgIrq6u6NChA90RCYJgCCEhIbx586bZ48+ePYO4uHgbJmqfMjMz4ezsjOrqat5zjUWmxi+xsrKytGQjiPbu1atX6Nu3b7PHe/bsydhVjwRBfHsWFhZQVVXle/xv+lUS/EiBiSDagYqKClhbW+Pp06fQ1NSEkZER6urq8OTJE4SEhCA1NRVHjhwhRSaCIAAA+vr6CA0NxbBhwzB8+HC+Y2fOnEFkZCSt2+MaVVRUoKSkpFXnfrpCgQkCAgJQX18Pd3d3cDgceHl5YefOnaiurkZsbCzy8vJw5MgRumMSRLukpKSE3NzcZo9nZmaiW7dubZiIIAgm8fb25nvs4+NDU5L2hRSYCKId+OOPP1BUVIQ//vgDJiYmfMdSUlKwYsUK+Pv7w8PDg6aEBEEwycqVK3Hz5k3MnTsXGhoaUFFRAUVRePLkCQoLC6GmpoYVK1bQHRNeXl7w8vKiO8a/lp2dDWtrazg4OKCurg6+vr6QlpbGxIkTMXnyZFhYWMDf3x/btm2jOypBtDuTJk3CgQMHoK+vjyFDhgBoWDnI5XIRFhaGEydOYMGCBTSnJAiCKezt7eHq6gp9fX2Bx8+fP48dO3YgKSmpjZOxCykwEUQ7cO7cOVhbWzcpLgHAhAkTkJGRgbNnz5ICE0EQABoaYp84cQIHDhzA5cuXcf36dQCAiooKFi1aBEdHR4H9mdqSpaUlrX/+1/Du3Ttec28RERGoqanh3r17GDNmDCQkJGBlZYW4uDiaUxJE++Tq6oqsrCy4ublBWloaHA4Ha9euRUVFBaqrq6GjowNXV1e6YxIEQZOqqiq8fPmS9/jGjRsYO3aswJWNXC4X58+fR1FRUVtGZCVSYCKIdqCsrAy9evVq9nivXr1w+PDhNkxEEATTderUCStXrsTKlSvpjiLQp0vX2ahz584oLS3lPVZRUeHbstOpUyfSA4YgvhExMTEEBwfj+PHjOHPmDAoKCsDlcqGjowMjIyPMmDEDoqKidMckCIImtbW1mDVrFq8nJYfDwfbt27F9+3aB51MUhVGjRrVlRFYiBSaCaAeUlJTw119/NRlF3uivv/76onHfBEF8H3Jzc3Hx4kWUlJTAzs4OUlJSePjwIcaMGUN3tHZBX18fMTExMDAwgJaWFgYOHIiIiAiUlZVBXl4ely5dgry8PN0xCaJdKioqQo8ePWBlZQUrKyu64xAEwTDy8vLw9fVFdnY2KIpCQEAAxo8fL3A4gJCQEBQVFWFmZkZDUnYhBSaCaAcmTZqEffv2oVevXpg7dy7ExMQANFTmDx48iJMnT5I+AwRB8PHy8kJERAQoigKHw4GpqSnevHmDJUuWYOzYsdi1axfvvYT4dxYuXIgLFy7A0tISV69exaxZsxASEgITExN07NgRxcXFmD9/Pt0xCaJdMjY2xtChQ2Fubo4JEyZATk6O7kgEQTCMgYEBDAwMAAAlJSWwtraGtrY2zanYjUM1zsslCIK13r9/D0dHR2RmZkJSUhLdu3cHABQXF6OmpgZDhgzBwYMHydhxgiAAAFFRUdi8eTPs7OxgamqKOXPm4ODBg+jbty/++OMPxMbG4ueffyb9Sb6CsrIyxMfHw8nJCQCQk5MDHx8fVFZWwtDQEG5ubmSbDkF8A3/88QdOnTqFp0+fQlRUFGPGjMHUqVNhaGhIiucEQbToxYsXePbsGTQ0NCAuLg4REREICQnRHYsVSIGJINqJDx8+4NixY0hNTUVRUREoikKPHj1gbGyMadOmQUSELFgkCKLBlClToKqqioCAAJSXl0NfXx8HDx7kTU5ZtmwZ7t+/j+TkZJqTEgRB/Dd3797FyZMnkZycjOfPn6NDhw4wNTWFubk5hg0bRnc8giAYJCsrC5s3b0ZOTg4AICQkBFwuF2vWrIGHhwcmTJhAc0LmI1ecBNFOiIqKYtasWZg1axbdUQiCYLinT5/Cxsam2eP6+vo4f/58GyZqv+rq6vDkyRO8fPkSXC5X4DmkaShBfDsDBw7EwIED4e7ujhs3biA5ORmpqak4evQolJSUyHsdQRAAGlYYOzg4QF5eHtbW1oiNjQUAyMjIgKIo/PLLL5CRkSGf2Z9BCkwEQRAE8Z2RlZXlm272qfz8fHTo0KENE7VP9+7dw+LFi1FcXCzweGP/q3v37rVxMoL4PnXq1AmKiopQVFTEixcvUFVVRXckgiAY4vfff0eXLl0QHx+P2tpaxMTEAAC0tbWRmJiI2bNnY9++faTA9BmkwEQQBEEQ35kxY8YgJiYG06ZNg4SEBN+x7OxsREdHw8TEhKZ07cfmzZvx/Plz/PTTT1BTU4OwsDDdkQjiu/PkyROcOnUKycnJePToEURERGBgYAAXFxcYGhrSHY8gCIbIzMyEs7MzZGRkUF5eznesY8eOsLa2xp49e2hKxx6kwEQQBEEQ35mlS5fiypUrMDc3h66uLjgcDiIjIxESEoJr165BTk4OS5YsoTsm6927dw9ubm5wdnamOwpBfHeCgoJw6tQpPHjwABRFQVdXF56enpg4cSKZKEcQRBNcLhfS0tLNHq+vr0dtbW0bJmIn0gqdIAiCIL4zXbt2xdGjR2FkZIRbt26Boiikpqbi5s2bGD9+PA4dOgRlZWW6Y7KeoqIimd5JEDTx8/NDTU0NFi9ejHPnziEmJgbW1takuEQQhED9+vVDSkqKwGO1tbVISEhAv3792jgV+5AVTARBEATxHerSpQt8fHxAURTKysrA5XIhLy9PtnF9Rfb29oiIiMCkSZPQuXNnuuMQxHclLi4OgwcPpjsGQRAs4ezsDBcXF7i5uWH8+PEAGnpSlpeXIyQkBLm5udi9ezfNKZmPQ1EURXcIgiC+jkePHuHSpUsoLi6GsLAw1NTUYGxsjK5du9IdjSAI4rs0f/583Lx5E4MGDYKioiI4HE6Tc3bs2EFDMoL4PuTm5uLixYsoLi6Gvb09pKSk8PDhQ4wZM4buaARBMMyxY8fg5eWF6upq3iAOiqIgISGB5cuXw87Oju6IjEcKTATRDlAUhQ0bNuDw4cNNxmCLiopi0aJFcHFxoSkdQRB0MzIy+uKf4XA4OHfu3DdI8/0ICgqCn59fi+eQKXIE8e14eXkhIiKCd6EYEhKCN2/eYMmSJRg7dix27doFMTExumMSBMEgVVVVuHbtGvLz80FRFJSVlTFy5Eh07NiR7misQLbIEUQ7EBQUhEOHDsHExATz5s2Dmpoa6uvr8eTJE4SEhGDXrl3o2rUrLC0t6Y5KEAQNFBQUmqycycvLQ3V1NTQ1NaGpqQkul4uCggLk5uZCXl4eP/zwA01p24+oqCgMGDAA27Ztg7q6Otl+SBBtKCoqCuHh4bCzs4OpqSnmzJkDANDT04O1tTViY2MRHBwMV1dXmpMSBMEEZWVlkJeXh4yMjMBJuvX19QgODsaCBQtoSMceZAUTQbQDxsbG6N27N/bu3SvwuJOTE168eIETJ060cTKCIJjo3LlzWLlyJXbv3o1Ro0bxHbt+/TpcXV2xatUqWFtb05SwfdDR0YGHhwdmzZpFdxSC+O5MmTIFqqqqCAgIQHl5OfT19XHw4EHo6+sDAJYtW4b79+8jOTmZ5qQEQTDBpEmTEB4eDgUFhSbH7ty5g3Xr1iE3N5esOv4MMkWOINqBly9fYvTo0c0eNzIyQkFBQRsmIgiCyXx9fWFjY9OkuAQAw4cPh729Pfbv309DsvZl4MCB+H979x0V1bW2Afw5gIiooGBHECyILYoaI4IVBCs2ECxgIYpi+TRWghET+zXRRDFGrlhQEexiR7GholhjAaNGLJSAVJWIlDnfHy5mZQIYc4E5M+PzWysrOWfvM/MMLCfOO+/Z+8mTJ1LHIPokPX36tMT3uCI2NjZISkpSYiIiUmUpKSkYPXo0UlNT5ef+/PNPLF26FCNGjMDTp08xZcoUCROqBxaYiDRA8+bNcfXq1VLHY2Nj0aRJEyUmIiJVlpKSgvr165c6XqNGDWRkZCgxkWaaN28eDh48iM2bN+PFixd4+/Yt8vLyiv1DROXPwMAA6enppY4/e/YM1atXV2IiIlJl27dvR3Z2Njw8PJCSkoJz585hwIAB2L59Ozp37ozDhw9j6tSpUsdUebxFjkgD3Lt3D15eXujXrx8mT56MOnXqAHi/SN3WrVsRFBSEoKAgtG7dWuE6LmxJ9GkaNmwYBEFASEhIsfeBnJwcuLq6okaNGggJCZEooWZwdHREZmYm3rx5U+ocQRAQGxurxFREnwZfX19cuHABe/fuhZ6ensItcnfv3oWnpyccHR2xcuVKqaMSkYqIj4/HuHHj8ObNG+Tk5KBWrVrw9fVFv379pI6mNlhgItIA3bt3l78RCoKAatWqQUdHB1lZWQAg3z3lr/ihhujTFRERgenTp8PCwgIuLi5o2LAhRFFEfHw8QkNDkZ6ejk2bNqFz585SR1Vr8+fPL/beW5Lly5crIQ3RpyUlJQUuLi7Izc2FtbU1oqKi0KtXL+Tl5eHy5cswNDTEnj17YGJiInVUIlIhycnJGDt2LBISEhAaGoo2bdpIHUmtsMBEpAE+9kPM3/FDDdGnKzw8HP/5z3+QlpYGQRBQ9NcBExMTLFy4EN27d5c4IRFR2aSmpmL16tWIjIzE69evAQBVqlRB9+7dMWvWLJiamkqckIiksnr16lLH0tLSsH//ftSpUweDBw+WnxcEATNnzlRCOvXFAhMREdEnShRF3L9/HwkJCQAAMzMztGzZUuJURETlSxRFZGRkQCaTwcjICNra2lJHIiKJWVlZ/etrBEHgLnL/gAUmIg2Sn5+P27dvIzExEbq6uqhXrx7atWsHLS2u509ERESfDlEUkZCQgMzMTAiCACMjI94OR0RyiYmJ/9N1fB/5MBaYiDREZGQkFi1ahLS0NPmtLoIgwNjYGN9++y3s7e0lTkhEUvH19f3X1wiCgGXLllVAGiKiivPgwQMEBgYiKiqq2AL7BgYGsLe3h5eXF3fXJSIFixcvRo8ePdC1a1epo6g1FpiINMD169cxduxY1KpVC6NGjUKTJk1QWFiI33//HSEhIcjIyMCOHTvQrl07qaMSkQRKagP/67pLhoaGEEURr169AgDo6emhSpUqiI6OVmpOIqKy2LVrF5YuXQqZTAZra2tYWlrC0NAQBQUFyMrKQmxsLOLi4qCtrQ1/f3+4urpKHZmIVETbtm0xa9YseHp6Sh1FrbHARKQBxo8fj4SEBOzfvx/VqlVTGHv9+jWGDh2Kxo0bY+PGjRIlJCIp5eXlKRw/efIEHh4ecHd3x7hx42BkZAQAyM7ORnBwMLZu3YqNGzeiY8eOUsTVGG/evCn2nkxEFSMmJgZjxoxB27ZtsXLlSjRq1KjEefHx8Vi4cCFu3LiBnTt3wtraWslJiUgVOTk5oXfv3pg9e7bUUdQaC0xEGqBDhw7w9vbGxIkTSxwPDAxEUFAQrl69quRkRKSKRowYgQYNGuCHH34ocdzPzw9xcXHYv3+/kpNpFnt7ewwfPhze3t5SRyHSeD4+Pnj8+DHCw8Ohp6f3wbl5eXkYMGAAWrVqhTVr1igpIRGpslOnTmH+/Pno0aMH7OzsSt0QwM7OToJ06kNH6gBEVHaFhYWoVKlSqeOVKlUq1sFARJ+u2NhYDBw4sNTxli1b4siRI0pMpJlSU1Pl3WFEVLHu3LkDd3f3fywuAYCuri769++PAwcOKCEZEamDadOmAQCOHj2Ko0ePQhAEhXFRFLmL3EdggYlIA7Rs2RIHDx7EqFGjoKurqzCWl5eHAwcO/E9bcRKRZqpTpw6uXr2KkSNHljh+5swZ7pJSDnr27Inw8HD07t0bNWrUkDoOkUbLyspC3bp1P3q+iYkJ0tLSKjAREamT5cuXSx1BI7DARKQBvvzyS/j4+GD48OEYN24cLCwsALxfZ2XLli149OgR1q9fL3FKIlIVw4YNw48//oj58+dj5MiRMDU1hSiKiI+PR1BQEC5fvoyFCxdKHVPtWVhYICoqCr169UKrVq1gbGxcYrt9abcqEtHHKygo+KjupSK6urooLCyswEREpE6GDBkidQSNwAITkQbo1asXFi5ciFWrVmH+/Pny86IookqVKvjmm2/Qq1cvCRMSkSqZOHEiEhMTsXfvXhw6dEhhTEtLCxMnTsSIESMkSqc5/rqxwrVr10qcIwgCC0xEREQqIjs7G2/fvoVMJpOfKywsRE5ODi5fvozx48dLmE71cZFvIg2SnZ2Ny5cvIyEhAaIoomHDhrC1tYWhoaHU0YhIBT1+/Bjnz59HYmIiAMDMzAz29vYwNTWVOBkR0b9jZWUFPz8/2Nvbf9T8U6dOYcWKFVxPhYgAAH/88QfmzJmD69evf3Ae3zM+jAUmIg0QEBAAR0dHWFpaljh+584d7Nu3D99++62SkxERERFVPCsrq2KL8n4MflgkIgCYM2cOjhw5gl69ekFPTw9Hjx7FuHHjkJ6ejrNnzyI/Px9BQUHo0KGD1FFVGm+RI9IAAQEBMDc3L7XAdO3aNezfv58FJiKSy87Oxi+//IKzZ88iOTkZv/zyC/T09BAcHIz/+7//g7m5udQRNcLr16+xfv16nDp1CsnJydDR0UH9+vVhb2+PyZMno3r16lJHJNIIXD+FiMoiOjoaAwYMwKpVq/DmzRscO3YMjo6OsLa2xosXL+Di4oILFy6wwPQPWGAiUkPPnj2Dp6enwuKU3333HVasWFFsriiKyMzMRJMmTZQZkYhUWHp6Otzd3ZGUlISmTZsiLy8PwPtdmE6cOIHo6GiEhISgcePGEidVb1lZWXB3d8fTp0/RpEkT2Nvbo6CgAPHx8di8eTMiIyOxd+9eFpmIygF3gCKissjKykLHjh0BANWqVYOJiQnu3r0La2trmJqawsXFBadPn8bMmTMlTqraWGAiUkONGjWCm5sboqOjAQBpaWmoVasWjI2Ni83V1taGsbExJkyYoOyYRKSi1qxZg7S0NOzevRv169dHly5dAAA9e/bErl274O3tjXXr1mHNmjUSJ1Vva9euRUJCAtauXQtHR0eFsRMnTmD27NkICAiAr6+vRAmJiIgIAKpXr478/Hz5sZmZGR4+fCg/trCwwK5du6SIplZYYCJSUz4+PvDx8QHwfhe5WbNmffTClkT0aTt37hxGjx6NVq1aITMzU2GsXbt2GDVqFPbs2SNROs1x+vRpuLu7FysuAUCfPn1w7do1nDp1igUmIiIiibVt2xbh4eEYPnw4dHV10axZM5w7dw4ymQxaWlp4/PgxqlSpInVMlacldQAiKrujR4/+Y3Hp6NGjSkpDRKru1atXaNiwYanjtWrVQnZ2thITaaaMjAw0bdq01PGmTZsiLS1NiYmIiIioJOPHj8f9+/fh4OCA7OxsDBkyRL4sia+vL3bs2IHOnTtLHVPlscBEpAEmTJiAt2/fljiWlJSEiRMnYvbs2UpORUSqyszMDLdu3Sp1PCoqCmZmZkpMpJnq16+Pmzdvljp+8+ZN1K1bV4mJiIiIqCSdOnXCpk2b0KJFCxgYGMDKygqLFy/G/fv3ceDAAbRu3Rrz5s2TOqbKY4GJSAP8+uuv8PLyQk5OjvycKIrYunUrBgwYgKioKAwePFi6gESkUlxcXBAeHo7g4GC8efMGACAIAtLT07FkyRKcO3eO7xnloH///jh8+DACAwPlC6kDQF5eHjZu3IgjR46gX79+EiYkIiKiIjY2Nti4cSMEQQAAuLq64urVq4iJiUFoaCjq1KkjcULVJ4iiKEodgojK5uLFi5g2bRosLS2xadMmJCYmYsGCBbh37x6aNWsGf39/+a4IRESiKOLrr7/GgQMHIAgCRFGEnp4e3r17B1EU4ejoiB9//BFaWvweqizevXuH8ePH48aNG6hSpQoaNGgAAEhMTERubi7at2+PLVu2oHLlyhInJSIiIio7FpiINMSNGzcwadIkGBgYICUlBZUqVYKPjw/GjRsHHR2u509ExV29ehURERF4/vw5ZDIZTExMYG9vj+7du0sdTWPk5+dj//79iIyMREJCAkRRRMOGDeHg4IBhw4bx/ZmIiEgC/8vmSIIg4PTp0xWQRnOwwESkQR48eAAvLy9kZWVh165d+Oyzz6SOREREREREpFKsrKwgCAKMjIw+uPHJ34WFhVVgKvXHAhORGvrQG1t8fDy2bt2Kpk2bwtPTE3/9I+7m5qaMeESkBvLy8rB7926cO3cOiYmJ0NHRgbm5ORwcHODs7Cxff4CIiIhI03zzzTc4c+YM0tPT0bx5czg5OcHJyQlNmjSROppaY4GJSA0VVdz/zR9fQRAQFxdXgamISF2kp6djzJgxePz4sXxtIJlMhuTkZLx79w5ffPEFNm7cyLWBiIiISGPJZDJcv34dEREROHXqFFJTU2FhYYE+ffrA0dERVlZWUkdUOywwEamhmJiY/+m6Tp06lXMSIlJHfn5+OHjwIPz8/ODq6opKlSoBeN/VtH37dnz//fcYO3Yst+MlIiKiT8atW7fkxaaEhASYmprC0dERTk5OXHrkI7HARERE9Inp3LkzBg4cCD8/vxLHFy5ciDNnzuDixYtKTkZEREQkvfv37yMiIgKnT5/GkydPUK9ePTg6OsLX11fqaCqN+w8TaYg///wTd+7ckR9fv34d06dPx6xZs3Dz5k0JkxGRqnn37h0aNWpU6njr1q2Rk5OjxESfJplMhhcvXkgdg4iIiP6mVatW+L//+z9888036NatG5KTkxEcHCx1LJXHAhORBnjy5AkcHR3l3QgvXrzA+PHjcfr0aURERMDT0xPXr1+XOCURqYru3bvjyJEjKCgoKHE8MjISX3zxhZJTaZ4WLVrgyJEjpY7v378fgwcPVl4gIiIi+qB3797h9OnT8PX1RZcuXTBu3DjcuHED/fv3x5o1a6SOp/J0pA5ARGX3448/Ij8/H9OnTwcA7NmzB/n5+QgODkaLFi3g4eGBDRs2ICgoSOKkRCSFv9/q1qNHD3z77bcYOXIkxo4di8aNG0MQBCQkJCAsLAz37t3DDz/8IFFa9ZWUlISoqCj5sSiKiI6OLrEbTCaT4ciRI9ytj4iISGLZ2dk4e/YsTp06hcuXL+Pt27cwNjZG79694eDggC5dusjXq6QP4xpMRBrAxsYGHh4e8PHxAQAMHDgQ7969Q0REBABg+/btWLt2La5duyZlTCKSSNHOk39V9L//D53nzpP/Tn5+PgYOHIinT58CwEft9jl27FjMnz9fCemIiIioSFJSEk6fPo3Tp0/j5s2bKCgoQIMGDeDg4ABHR0d06NCBXwL9D9jBRKQB/vzzT9StWxcAkJKSgkePHmHEiBHy8UqVKkEmk0kVj4gktnz5cqkjfBIqVaqEzZs3IyEhAaIoYsyYMfD29oatrW2xuVpaWqhVqxbMzc2VH5SIiOgT16tXLwiCAFNTU3h6eqJ3795o1aqVfDw/P7/E63R1dZUVUS2xwESkAUxMTOSdBsePH4cgCOjRo4d8/Pz582jYsKFE6YhIakOGDJE6wiejQYMGaNCgAYD3hb2OHTvC1NRU4lRERET0d6Io4vnz59iyZQu2bNnyj/MFQUBsbKwSkqkvFpiINED//v2xfv16JCQk4OrVq2jQoAHs7Ozw/PlzLFu2DOfPn+eWmkRUzJ9//omXL1+W2uFoYWGh5ESapaiwl5eXJ//GMzMzE8eOHYO2tjb69esHAwMDKSMSERF9kvjlW8XgGkxEGmL9+vU4duwY6tWrh3nz5sHS0hL379/H6NGj4enpiZkzZ0odkYhUREJCAubOnYtbt259cB7XYCqb169fY/bs2cjKykJYWBjevHkDZ2dnJCcnQxRF1K1bFyEhITAxMZE6KhEREVGZsYOJSENMmTIFU6ZMUThnZWWFK1euoHLlyhKlIiJVtGjRIty8eRP9+vVDo0aNoK2tLXUkjfTTTz8hKioKY8eOBQDs3bsXSUlJmDFjBlq1agVfX1+sXbsWK1eulDYoERERUTlggYlIg2RmZuLy5ctITExEv379oK+vj8zMTDRp0kTqaESkQm7duoUJEyZg1qxZUkfRaGfOnMHIkSMxd+5cAMDp06dRs2ZNeHt7QxAEjBw5EiEhIRKnJCIiIiofLDARaYht27ZhzZo1yM3NhSAIaNOmDf78809MnToVI0eOxIIFC7jVJhEBAKpWrYp69epJHUPjvXz5Ei1atAAAvHnzBrdv34aTk5P8vbh27dp4/fq1lBGJiIiIyo2W1AGIqOyOHz+O5cuXw87ODv/5z39QtLRa8+bN0bVrV4SEhPBbciKSc3V1xb59+5CXlyd1FI1Wq1YtpKSkAAAuXryIwsJCdO3aVT7+4MED1K1bV6p4REREROWKHUxEGmDTpk34/PPPERAQgMzMTPn5hg0bIjAwEF5eXggLC8OoUaMkTElEqsLHxwe//vorHBwcYGtri1q1ahXrcBQEgZsDlFHnzp0RHByMKlWqYOfOnahSpQocHBzw6tUr7NmzB3v27MGIESOkjklERERULlhgItIAjx8/xpw5c0od7927NxeRJSK5Q4cO4dKlSxBFEQcOHChxDgtMZefr64ukpCSsXLkS+vr6WLJkCapVq4br169j1apV6NChA3x8fKSOSURERFQuWGAi0gB6enr4888/Sx1/+fIldHV1lZiIiFTZhg0bYGpqCj8/P1hYWHAXuQpiYGCAbdu2ISMjA9WqVZO/D7do0QLbt29Hx44duTYeERERaQwWmIg0wBdffIHdu3dj5MiRxcaSkpIQEhKCTp06SZCMiFRRamoq5s2bh+7du0sd5ZNgZGSkcFy1alV8/vnnEqUhIiIiqhgsMBFpgBkzZmD48OFwdnZG165dIQgCTpw4gZMnTyI8PByiKGLq1KlSxyQiFdG0aVO8fPlS6hgax93dHdOmTYOtra38+GOEhoZWZCwiIiIipWCBiUgDNG7cGDt37sSSJUsQFhYGAPJ/t2nTBt988w2aN28uZUQiUiEzZszAV199BSsrK/Tq1QuVKlWSOpJGSE1NRW5ursIxERER0adCEIv2MycijZCVlYXnz59DJpPBxMQEtWvXljoSEamYcePG4dGjR0hPT4e2tjaqV69ebB0mQRAQFRUlUUIiIiIiUjfsYCLSMDVq1ECNGjWkjkFEKqygoAAWFhawsLCQOopGCwgIgKOjIywtLUscv3PnDvbt24dvv/1WycmIiIiIyh87mIjUkKen57++RhAEbNu2rQLSEBFRSaysrPD9999jwIABJY4HBQXhxx9/xN27d5WcjIiIiKj8scBEpIZsbW2LbW2dnZ2N/Px8VKtWDWZmZhBFEYmJiXj16hUMDQ1hamqKvXv3SpSYiFRVamoqkpOT0bhxY1SuXBk6OjrQ0tKSOpZaevbsGTw9PVFYWAgASEtLg4GBAXR1dYvNFUURmZmZaNKkCQ4fPqzsqERERETljrfIEamhS5cuKRzfvHkTXl5eWLBgAVxcXORrqchkMhw8eBDffvstvL29pYhKRCrq9u3bWLx4MWJjYwEAmzdvhkwmw9dffw1fX1/06dNH4oTqp1GjRnBzc0N0dDSA9wWmWrVqwdjYuNhcbW1tGBsbY8KECcqOSURERFQh2MFEpAEGDx6Mdu3aYdGiRSWOL1u2DBcvXsSxY8eUG4yIVFJsbCxGjBgBIyMj9OjRA6Ghodi8eTP09fUxbdo0pKWlITAwEHZ2dlJHVWu9evWCn58f7O3tpY5CREREVOHYA0+kAeLj49GsWbNSx83MzJCUlKTERESkyn788UfUqVMHhw8fxrRp01D0XVPbtm0RHh6ORo0aYePGjRKnVH9nzpxhcYmIiIg+GbxFjkgDmJqaIjIyEqNGjSo2lp+fj/DwcDRu3FiCZESkim7cuAFvb29Uq1YNmZmZCmM1atSAu7s7fv75Z4nSaZasrCycOnUKaWlp8rWZ/koQBEyZMkWCZERERETliwUmIg3g4eEBf39/jBkzBiNGjEDDhg0hiiLi4+Oxbds2xMbG4scff5Q6JhGpCJlMhqpVq5Y6XlhYiLy8PCUm0kxXrlzBpEmT8O7dO5S2IgELTERERKQpWGAi0gBubm7IzMzEhg0bEBMTIz8viiL09fXx7bffwsnJScKERKRKWrRogRMnTpTY9ZiXl4dDhw6hRYsWEiTTLGvWrEHlypWxaNEitGjRApUqVZI6EhEREVGFYYGJSENMmjQJI0aMwJUrV5CQkADg/dpLXbp0+WCnAhF9ery9vTFp0iRMnToVvXv3BgA8e/YMmZmZ2Lx5Mx4+fIh169ZJnFL9PXjwAFOmTMHgwYOljkJERERU4biLHBER0Sdo//79WLZsGXJyciCKIgRBgCiK0NPTw6xZs+Dh4SF1RLVnZ2eHSZMmYfTo0VJHISIiIqpwLDARERF9ot68eYPLly/j2bNnEEURJiYmsLW1RY0aNaSOphGWLl2KmzdvYvfu3dDW1pY6DhEREVGFYoGJiIiIqAJcvHgRCxcuhIGBARwcHGBsbAwtLa1i89zc3CRIR0RERFS+WGAiIiIiqgBWVlb/OEcQBMTFxSkhDREREVHF4iLfRERERBUgODhY6ghERERESsMOJiIiIiIiIiIiKhN2MBF9AnJzc5GRkQFdXV3UqlVL6jhERJ+Uc+fO4cyZM0hKSsJXX30FfX19REdHY+jQoahcubLU8YiIiIjKBTuYiD4B4eHhmDdvHurXr49KlSph48aNMDc3lzoWEZFGKygowIwZMxAZGSk/t3nzZmRmZuKrr77CZ599hk2bNsHAwEDClERERETlo/hWJkSkcWrVqoWOHTvizJkzmD17Nm7fvi11JCJSYbm5uUhKSkJaWprUUdRaYGAgTp8+jfnz5yMiIgJF3+k5ODhg1qxZuHfvHjZs2CBxSiIiIqLywQ4mIg2wePFi9OjRA127dpU6ChFpAHY9lg9HR0e0b98eK1asQGZmJmxsbLBlyxbY2NgAABYuXIjo6GicOnVK4qREREREZccOJiINsHfvXsTHx0sdg4g0BLsey0dycjKsra1LHW/dujVSUlKUmIiIiIio4nCRbyINUK9ePaSmpkodg4jUxD91PXbp0gVdunQBAPTu3VuZ0TSKsbExEhISSh2Pi4uDkZGREhMRERERVRwWmIg0wOzZszF//nwkJyfDzs4ORkZG0NbWLjbPzs5OgnREpGr27t2LRo0a8bbaCubg4ICQkBA4OTnBxMQEACAIAgAgIiICe/bswfDhw6WMSERERFRuuAYTkQawsrJSOC76AFNEFEUIgoC4uDhlxiIiFeXk5ITevXtj9uzZUkfRaK9fv8bIkSMRHx8PCwsLPH78GG3btsWrV68QHx8PU1NThIWFoWbNmlJHJSIiIiozFpiINMCBAwc+at6QIUMqOAkRqYNTp05h/vz56NGjB7seK9jbt2+xadMmRERE4Pnz55DJZDAxMYG9vT28vb1hYGAgdUQiIiKicsECExER0SeGXY9EREREVN64BhORBnn48CHOnTuHxMREeHp6Ql9fH48ePUK3bt2kjkZEKmT58uVSR9BI8fHxqFOnDqpWrSo//hgWFhYVGYuIiIhIKdjBRKQhli1bhu3bt8s7DzZv3ozXr19j+vTp6NmzJ3766Sfo6upKHZOISGO1aNEC//nPfzBw4EAA7zvF/t4dVhJ2ihEREZEmYAcTkQbYuXMngoOD4eHhAScnJ4wePRoA0LFjR7i7uyM0NBRBQUGYPHmyxEmJSJWw67F8TZkyBc2bN1c4/pgCExEREZEmYAcTkQYYOHAgzMzMsH79emRmZsLGxgZbtmyBjY0NAGDmzJl48OABjh8/LnFSIlIV7HokIiIiovKkJXUAIiq7p0+ffnC3JxsbGyQlJSkxERGpsqKux9GjR2PHjh0o+q6pqOvx7NmzCAoKkjilZrhz5w6mT5+OtLQ0+bmlS5fCx8cHv//+u4TJiIiIiMoXC0xEGsDAwADp6emljj979gzVq1dXYiIiUmWhoaGwt7eHn58fmjRpIj9vZGSERYsWoW/fvggPD5cwoWa4fv06Ro8ejejoaGRlZcnP165dGzdv3oSrqyt+++036QISERERlSMWmIg0QLdu3bBr1y4kJycXG7t79y5CQkJga2srQTIiUkXselSOdevWoVGjRoiIiEDTpk3l5ydOnIjjx4+jfv36WLNmjYQJiYiIiMoPC0xEGmDGjBnQ0tKCs7Mz5s2bB0EQsGPHDkyYMAHu7u6oUqUKpk+fLnVMIlIR7HpUjtjYWLi7u6NmzZrFxmrWrAk3NzfcunVLgmRERERE5Y8FJiINULduXezbtw/29va4desWRFFEZGQkrl+/jt69eyMsLAwmJiZSxyQiFcGuR+XQ0tLCmzdvSh3Pzc1FQUGBEhMRERERVRzuIkekYURRREZGBmQyGYyMjKCtrS11JCJSMSkpKXBxcUFubi6sra0RFRWFXr16IS8vD5cvX4ahoSH27NnDwnQZTZ48GbGxsdi/fz+MjY0VxjIzMzFs2DA0adIE//3vfyVKSERERFR+WGAi0iCvXr1CdHQ0EhMToa2tDXNzc9jY2HCrcSIqJjU1FatXr0ZkZCRev34NAKhSpQq6d++OWbNmwdTUVOKE6u/+/fsYOXIkKlWqhP79+8PMzAyVK1fG06dPceLECbx+/Ro7duxAmzZtpI5KREREVGYsMBFpiMDAQGzYsAG5ubn46x9rQ0ND+Pn5wdnZWcJ0RKSq2PVYsW7evIkVK1bg7t27Cu/NLVu2hJ+fHzp06CBhOiIiIqLywwITkQbYvXs3Fi5ciLZt28LDwwONGjVCYWEh4uPjERwcjN9++w0///wzevToIXVUIlIh7HpUnoyMDCQmJkImk6FBgwaoXbu21JGIiIiIyhULTEQaoH///qhZsyaCg4OhpaW4dn9+fj5GjRoF4H0hiogIYNejlB49egRtbW00btxY6ihERERE5UZH6gBEVHYJCQkYOXJkseISAFSqVAnOzs74/vvvJUhGRKpo9+7dWL16daldj/Pnz4eBgQG7HstBUFAQ4uPjsWTJEshkMkyePBkXLlwAANjZ2WHt2rWoUqWKxCmJiIiIyq74p1EiUjtmZmb47bffSh1PSEhA/fr1lZiIiFTZtm3b0LFjR+zatQsDBgxAmzZt0K5dOwwZMgS7d+9G69at8fPPP0sdU+1t3boVq1atwosXLwAAx48fx/nz59GzZ098+eWXuHLlCn755ReJUxIRERGVDxaYiDTA3LlzcejQIWzatAl5eXkKYwcPHkRoaCj8/PwkSkdEqiYhIQF9+/b9YNfjw4cPJUimWfbt24cePXpg27ZtAN4XmPT09PDDDz9g1qxZcHd3x7FjxyROSURERFQ+eIsckQbYsGEDqlevjh9++AEbNmyAqakpdHR0kJCQgOzsbGhra2P+/PkK1wiCgKioKIkSE5GU2PWoHM+fP4enpycAoKCgANHR0ejQoYP8lrjmzZsjLCxMyohERERE5YYFJiINoK2tDQsLC1hYWCicb9asmUSJiEiVzZ07F1OnToWZmRk8PT0Vdo0r6noMCAiQMKFmqFq1KnJzcwEAN2/eRE5ODrp27Sof/+OPP1CzZk2p4hERERGVK+4iR0RE9IkZOXIknj9/jvT0dOjr65fY9VijRg2Fa9j1+O95eXkhNTUVK1aswKpVqxATE4NTp07BxMQEd+/exaRJk9CxY0f89NNPUkclIiIiKjN2MBFpmKSkJCQmJkJXVxf16tVD3bp1pY5ERCqGXY/KMXfuXHh5ecHFxQWiKGLs2LEwMTFBdHQ0xo0bB2NjY0yfPl3qmERERETlgh1MRBri7t278Pf3R1xcnML5Vq1awd/fH23atJEoGRHRpyszMxNXrlxBvXr1YG1tDQB4+fIlwsLC4Orqyi8BiIiISGOwwESkAR4+fAg3NzcAwKBBg9CkSRMUFhbi999/x5EjRwAAe/fuRZMmTaSMSUQqiF2PRERERFQeWGAi0gBTpkzB7du3sXfv3mI7PyUlJcHV1RWdOnXCmjVrJEpIRKqGXY9EREREVJ64BhORBrh27Ro8PT1L3Fa8QYMGGDFiBEJCQiRIRkSq6OHDh/D09AQAuLm5Fet69PT0ZNcjEREREf0rLDARaYDc3FwYGhqWOm5oaIicnBwlJiIiVfbTTz9BX1+/xK7HyZMnw9XVFQEBAex6JCIiIqKPpiV1ACIqu6ZNmyIiIgIl3fEqiiJOnDjBTgQikrt27RpGjBjxwa7Hq1evSpCMiIiIiNQVC0xEGsDDwwPXrl2Dt7c3rl+/joyMDGRkZODatWuYOHEibt68iVGjRkkdk4hUBLseiYiIiKi88RY5Ig0wZMgQPH78GFu2bEFUVFSx8fHjx2PYsGESJCMiVVTU9Th69GgIgqAwxq7H8pWTk4Po6Gjk5OQodJkWFBTIx3755RcJExIRERGVD+4iR6RBnjx5gsjISCQmJkIURTRs2BD29vZo3Lix1NGISIUcOHAAvr6+6NatGyZOnCh/j/j9998RGBiIixcvYsmSJSxMl9GNGzfg7e2t0A0miqJCUc/AwIC3IxIREZFGYIGJiIjoE7Rq1Sps2bKlxLXbxo8fjzlz5kiQSrOMHz8et27dwowZMyAIApYtW4Y1a9YgJycHoaGhePz4MQ4fPgxTU1OpoxIRERGVGQtMRGooLCzsf7rOzc2tnJMQkTpj12PF+vzzz+Hi4oJ58+ahoKAA1tbWWL9+Pbp164bc3FwMHjwYbdu2xcqVK6WOSkRERFRmXIOJSA35+/tDEIQSOw9KIwgCC0xEpKBx48YsJlWgt2/fytey0tHRQaNGjRAXF4du3bpBT08PQ4cOxe7duyVOSURERFQ+WGAiUkPBwcFSRyAiNcKuR2nUrl0b6enp8mNTU1M8fPhQflyzZk2kpaVJEY2IiIio3LHARKSGOnXqJHUEIlIj7HqUho2NDXbt2oXu3bvDysoKrVu3xvbt25GRkQEjIyOcP38eRkZGUsckIiIiKhdcg4lIQ+Tn52P37t04c+YMkpKSsGzZMujp6eHo0aMYP348P8QQfcJiYmL+p+tYzC6bhIQEuLq6IisrC5cuXYJMJoOTkxMEQUCNGjWQmJiICRMm4KuvvpI6KhEREVGZscBEpAFycnIwbtw43LlzB4aGhnj16hU2b96MrKwszJw5E6amptixYwfq1q0rdVQiok9KRkYGDhw4AC8vLwBAbGwsVqxYgezsbPTo0QPTpk2Djg4byomIiEj9aUkdgIjKLiAgALGxsQgICMDx48flt8H07dsXq1evRmpqKgICAiROSUSqJD8/Hzt37oSXlxf69u2LW7duIS4uDt9//z0yMjKkjqcRkpKSoK+vLy8uAUDLli0RHByMQ4cOwcvLC7du3ZIwIREREVH5YYGJSAOcOHECbm5ucHBwgCAICmP9+vXDyJEjcenSJYnSEZGqycnJwahRo7B48WLcu3cPT58+RW5uLp4+fYpNmzbBzc0NKSkpUsdUe/b29jh9+nSp4ydPnsTEiROVmIiIiIio4rAnm0gDpKWloXnz5qWOm5ubc6ciIpL7a9dj+/bt0aVLFwDvux5FUYSvry8CAgKwePFiiZOqlxcvXmDPnj3yY1EUcfToUYWd44rIZDKcP38elStXVmZEIiIiogrDAhORBqhfv36JH2CK3LhxA/Xq1VNiIiJSZX/teszMzFQY69evH+7evYuTJ09KlE59NWzYENHR0bh79y6A9zvxnT17FmfPni1xvra2NmbNmqXMiEREREQVhgUmIg3Qv39/bNq0CTY2Nmjfvj2A9x9sZDIZtm3bhsOHD/M2DCKSY9djxRAEAVu2bEF2djZEUYSDgwO+/vpr2NvbF5urra2NGjVqQE9PT4KkREREROWPBSYiDTB58mTcvn0bU6dORdWqVSEIAvz8/JCVlYWcnBy0a9cOkydPljomEakIdj1WnGrVqqFatWoAgODgYDRp0gTGxsYSpyIiIiKqeCwwEWkAXV1dBAUF4eDBg4iIiMDz588hk8nQrl072Nvbw9XVFZUqVZI6JhGpCHY9KkenTp0AANnZ2Xj79i1kMpl8rLCwEDk5Obh8+TLGjx8vVUQiIiKiciOIRfuZE5HaSkhIQMOGDaWOQURqIi8vD97e3rhy5QqqVq2KnJwcNGjQQKHrcevWrbx9q4z++OMPzJkzB9evX//gvLi4OCUlIiIiIqo4LDARaQArKyt06NABzs7O6NOnDwwNDaWOREQqTiaTFet6NDExYddjOZozZw6OHDmCXr16QU9PD0ePHsW4ceOQnp6Os2fPIj8/H0FBQejQoYPUUYmIiIjKjAUmIg2wdu1aHDt2DE+fPkWlSpXQrVs3DBo0CD169ICurq7U8YhIxbDrUTns7OxgY2ODVatW4c2bN/j8888REhICa2trvHjxAi4uLnB3d8fMmTOljkpERERUZlpSByCisps+fTpOnDiBvXv3YtSoUbh37x6mT58OW1tbLFiwADExMVJHJCIV4uDggFGjRiEsLAzZ2dlSx9FYWVlZ6NixI4D3i3+bmJjg7t27AABTU1O4uLjg9OnTUkYkIiIiKjcsMBFpkNatW2P+/Pk4f/48goODMWDAAFy4cAFjxoxBr169pI5HRCrCx8cH6enp8Pf3h52dHaZMmYKIiAjk5eVJHU2jVK9eHfn5+fJjMzMzhd37LCwskJycLEU0IiIionLHAhORhqpZsyZq1aqFWrVqQRRFvHnzRupIRKQi2PWoHG3btkV4eLi8cNesWTNcu3ZNvpvc48ePUaVKFSkjEhEREZUbrsFEpEHi4+Nx7NgxHD9+HL///jt0dHTQvXt3ODs7cz0mIvqgmJgYHD9+HJGRkXj58iXq16+PM2fOSB1LrcXExGDcuHEwNjbG4cOHkZycjMGDB6Njx44wNTXF4cOH4eTkhB9++EHqqERERERlpiN1ACIqu8DAQBw7dgy//fYbRFGEtbU1/P390bdvX+4oR0Qf5a9dj6mpqex6LAedOnXCpk2bsHXrVhgYGMDQ0BCLFy/GsmXLcP36dbRr1w7z5s2TOiYRERFRuWAHE5EGsLKygrm5OZydneHs7MzdoYjoo7DrURp5eXnIzc2FgYGB1FGIiIiIyg0LTEQa4M6dO/jss8+kjkFEaqKkrsdBgwax67GciaKIhIQEZGZmQhAEGBkZwcTEROpYRERERBWCBSYiDfLw4UOcO3cOiYmJ8PT0hL6+Ph49eoRu3bpJHY2IVAi7HivWgwcPEBgYiKioqGK3GhoYGMDe3h5eXl5o0qSJRAmJiIiIyh8LTEQaYtmyZdi+fTtEUYQgCNi8eTNev36N6dOno2fPnvjpp594uwsRAWDXY0XatWsXli5dCplMBmtra1haWsLQ0BAFBQXIyspCbGws4uLioK2tDX9/f7i6ukodmYiIiKhccJFvIg2wc+dOBAcHw8PDA05OThg9ejQAoGPHjnB3d0doaCiCgoIwefJkiZMSkSooKi6x67F8xcTE4LvvvkPbtm2xcuVKNGrUqMR58fHxWLhwIfz9/dG0aVNYW1srOSkRERFR+WMHE5EGGDhwIMzMzLB+/XpkZmbCxsYGW7ZsgY2NDQBg5syZePDgAY4fPy5xUiJSFex6LH8+Pj54/PgxwsPDoaen98G5eXl5GDBgAFq1aoU1a9YoKSERERFRxdGSOgARld3Tp09hZ2dX6riNjQ2SkpKUmIiIVFlR1+Po0aOxY8cOFH3XVNT1ePbsWQQFBUmcUv3cuXMHzs7O/1hcAgBdXV30798ft27dUkIyIiIioorHAhORBjAwMEB6enqp48+ePUP16tWVmIiIVFloaCjs7e3h5+ensNC0kZERFi1ahL59+yI8PFzChOopKysLdevW/ej5JiYmSEtLq8BERERERMrDAhORBujWrRt27dqF5OTkYmN3795FSEgIbG1tJUhGRKqIXY8Vo6Cg4KO6l4ro6uqisLCwAhMRERERKQ8X+SbSADNmzMDFixfh7OwMa2trCIKAHTt2YPPmzbh8+TIMDQ0xffp0qWMSkYpg1yMRERERlTcWmIg0QN26dbFv3z6sXr0akZGREEURkZGRqFKlCnr37o1Zs2bBxMRE6phEpCKKuh6HDRtWrOOmqOvR0dFRonTqLSsr66O7vzIzMys4DREREZHycBc5Ig0jiiIyMjIgk8lgZGQEbW1tqSMRkYpJSUmBi4sLcnNzYW1tjaioKPTq1Qt5eXnyrsc9e/awMP0vWVlZQRCEf31dXFxcBaQhIiIiUi52MBFpAFEUkZCQgMzMTAiCACMjI34wJKJSseuxYgwZMkTqCERERESSYQcTkRp78OABAgMDERUVhTdv3iiMGRgYwN7eHl5eXgq7RBER/RW7HomIiIioPLDARKSmdu3ahaVLl0Imk8Ha2hqWlpYwNDREQUEBsrKyEBsbi7i4OGhra8Pf3x+urq5SRyYiFcGuRyIiIiIqbywwEamhmJgYjBkzBm3btsXKlSvRqFGjEufFx8dj4cKFuHHjBnbu3Alra2slJyUiVcKuRyIiIiKqKCwwEakhHx8fPH78GOHh4cV2gPq7vLw8DBgwAK1atcKaNWuUlJCIVA27HomIiIioInGRbyI1dOfOHbi7u/9jcQkAdHV10b9/fxw4cEAJyYhIFcXExOC777776K5Hf39/NG3alF2PRERERPTRtKQOQET/XlZWFurWrfvR801MTJCWllaBiYhIlW3duhWmpqbYunVrqcUlALCwsEBQUBAaNmyI4OBgJSYkIiIiInXHAhORGiooKPio7qUiurq6KCwsrMBERKTK7ty5A2dn53/V9Xjr1i0lJCMiIiIiTcECExERkYZj1yMRERERVTSuwUSkprKyspCUlPRRczMzMys4DRGpMnY9EhEREVFFY4GJSE0tW7YMy5YtkzoGEREREREREQtMROpoyJAhUkcgIjXDrkciIiIiqkiCKIqi1CGIiIio4lhZWUEQhH99XVxcXAWkISIiIiJNxA4mIiIiDceuRyIiIiKqaOxgIiIiIiIiIiKiMtGSOgAREREREREREak3FpiIiIiIiIiIiKhMWGAiIiIiIiIiIqIyYYGJiIiIiIiIiIjKhAUmIiIiIiIiIiIqEx2pAxARERF9jHXr1iEgIEDhnJaWFvT09GBiYoIePXrAy8sLNWvWlChhcVevXoWnpyemTp2KadOmSR3nX5s/fz4OHDjwUXOXL1+OoUOHVnAiIiIiUlUsMBEREZFacXNzQ4cOHQAAMpkMr169wq+//oqgoCAcPHgQO3bsgLm5ubQhNYSbmxtsbGwUzs2dOxc1a9aEr6+vwvn27dsrMxoRERGpGBaYiIiISK20a9cOgwYNKnZ+yJAh8Pb2hre3N44ePQodHf41p6ysra1hbW2tcG7u3LnQ19cv8XdAREREny6uwUREREQaoWvXrhg7diyePn2K8PBwqeMQERERfVJYYCIiIiKN4eLiAgCIjIxUOJ+SkoJvvvkG3bp1Q+vWrdGzZ08sWbIEmZmZ8jk+Pj5o0aIF/vjjj2KPu3jxYjRv3hwPHjyQn4uKioKnpyfat2+Ptm3bYujQodi/f/9H5bx9+zYmTZqETp06oXXr1ujTpw8CAgLw7t07hXnNmzeHn58fwsPD0bdvX7Rp0wZOTk4IDAxEYWFhscc9fPgwhg8fjnbt2sHa2hqjRo3CmTNnFObs378fzZs3x9GjR+Hi4iJ//r8/978hiiLs7e3RqVMn5OXlFRv38vJChw4dkJubK3/+CxcuwN/fH1988QXat28PDw8PxMTEFLv21atXWLlyJezt7dG6dWvY2dnB19cXSUlJCvPevn2L5cuXo0+fPvjss8/wxRdfwNvbGzdu3PifXxcRERF9PBaYiIiISGNYWFhAT08P9+/fl5978eIFhg0bhpMnT2LQoEFYsGABunfvjtDQULi5uSEjIwMAMGzYMMhkMhw+fFjhMfPz83H06FG0atUKVlZWAICdO3diwoQJePv2LaZOnYqZM2eiatWq8PX1xdKlSz+Y8dixYxgxYgTu3r2L0aNHw9fXF40bN8a6devg6emJ3NxchfnR0dHw9fVF586dMW/ePJiYmOCHH37A3LlzFeatWrUKs2fPRrVq1fDVV1/Bx8cHOTk5mDx5MrZu3Vosx4IFC2BhYYEFCxZg+PDhqFy58kf/nP9OEAQMGTIE2dnZOHfunMJYamoqoqOj0a9fP+jp6cnPL1q0CFFRUfDy8sLEiRMRHx+PcePG4fz58/I52dnZcHNzQ0hICHr27IkFCxZg4MCBOHHiBIYOHYpnz57J53711VfYtWsXevbsiW+++QZjx47F/fv3MWbMGIXCIBEREVUQkYiIiEgNrF27VrS0tBT37dv3wXldu3YVP/vsM/nxhAkTxPbt24vPnj1TmHfp0iXR0tJS9Pf3F0VRFPPz80VbW1txwIABCvNOnTolWlpaijt27BBFURSTk5PFVq1aid7e3qJMJpPPk8lk4pw5c0RLS0vx119/FUVRFK9cuSJaWlqKa9euFUVRFF+/fi127NhR7Ny5s5iWlqbwPKtXrxYtLS3FdevWyc9ZWlqKlpaW4qFDhxSeZ8qUKaKlpaV49epVURRF8ddffxUtLS3FRYsWKTxmXl6e6OHhIbZq1UpMTk4WRVEU9+3bJ1paWoouLi4K+T+WpaWl2LNnz2Lnk5KSRCsrK9HHx0fh/H//+1/R0tJSvHHjhsLz29raihkZGfJ5ycnJYrt27cRevXrJcy1atEhs2bKlePPmTYXHfPjwodi6dWvxyy+/FEVRFNPT0xV+l0Vu374tOjo6irt37/7Xr5OIiIj+HXYwERERkUbJz8+X//erV68QFRWFjh07olq1asjIyJD/Y2VlBVNTU5w6dQoAoKOjA2dnZzx8+BBxcXHyxzh06BAqV66MgQMHAgAiIiKQn5+Pvn37IjMzU/54mZmZ6N+/v3xOSS5duoRXr17Bw8MDxsbGCmM+Pj7Q19fHsWPHFM43btwYzs7O8mNBEDBx4kSF5zl69CgAoF+/fgqv8fXr1+jXrx/y8/Nx9uxZhcft2bMnBEH4yJ/qP6tfvz5sbGxw/vx5ZGVlyc8fPHgQ5ubmxXaZ8/T0RM2aNeXH9erVw6BBg5CQkIDY2FiIoohjx46hcePGaNSokcLrMjY2Rrt27XDp0iXk5OSgWrVqqF69Oo4fP47du3fj5cuXAIC2bdvi5MmTcHV1LbfXSURERCXj9ipERESkMQoKCvD69WvUqVMHAPD06VPIZDKcO3cONjY2pV6Xm5sLPT09uLi4ICgoCIcOHUKLFi3kt3w5OjrCwMAAABAfHw8AxW5R+6vExMQSzz9//hwA0KxZs2JjlStXhpmZmfzxi5Q0t3HjxgqPV3TN6NGjPzpT7dq1S537vxo2bBguXbqE48ePY8SIEbh37x4ePXqEWbNmFZtraWlZ7NxfX1f9+vWRlZWFrKysD/7u/vjjDzRp0gQrVqyAr68vvvnmG/nj29nZYeDAgWjZsmU5vUIiIiIqDQtMREREpDHi4uKQn5+P1q1bAwBkMhkAwMnJCe7u7qVep6Pz/q9EjRs3hrW1NY4cOYI5c+bg6NGjyMvLw7Bhw+RzixbXXrx4MRo2bFji4xkZGZV4XhRFACi1c0gmk0FXV1fh3N+PgfeFNADQ1tZWyPTzzz+jSpUqJT52/fr1FY6Lri1PvXv3hqGhIQ4dOoQRI0bg4MGD0NLSwqBBg4rNLel1Fb0OHR0d+X936NABU6dOLfU569WrBwBwcHCAra0toqKicPHiRVy9ehWbN2/Gli1b8PXXX8PT07M8XiIRERGVggUmIiIi0hjh4eEA3heUAMgLQO/evUOXLl2KzT99+jRq1KghLzAB77twFixYgGvXruHw4cMwMTFR6KApekwDA4Nij5mamoo7d+7A1NS0xHxmZmYAgIcPH8LBwUFhLDc3Fy9evCh27V8Xsi7y5MkTAIC5ublCpjp16qBNmzbFrn/y5An09fVLzFSedHV1MWDAAISEhOCPP/7AyZMnYWtri7p16xab+/Tp02I/v7++LiMjI+jr6+PVq1cl/u4uXboELS0tVK5cGW/evMFvv/2Ghg0bwtHREY6OjgCABw8eYMyYMVi/fj0LTERERBWMazARERGRRoiJicGuXbvQtGlTeYGpVq1a6NChAy5cuFBsu/oLFy5gypQpCAwMVDjft29f6OvrY/v27bh16xaGDBmi0HHk6OgILS0t/PLLL8V2fFuxYgWmTJmCe/fulZjR1tYW1apVw/bt25Genq4wtnHjRrx9+1aevcidO3cQExMjP5bJZNi4cSMEQUC/fv0AAH369AEArFu3Tt75A7xfj8rX1xeTJk1CSkpK6T+8cuTi4gJRFLFmzRqkpqZi6NChJc7bsWMH3r17Jz9OSEhAeHg4LC0t0axZM2hra8PBwQGPHj2SrzFV5MGDB/D29sbSpUuho6ODhw8fYuTIkfj5558V5jVt2hTVq1dXKCASERFRxeD/bYmIiEit3L59W357lyiKyM7Oxu3btxEREQEjIyOsW7dOoaDg7++P0aNHY+zYsXBzc0OzZs3w5MkThIaGokaNGpg3b57C41erVg1OTk44cOAABEHAkCFDFMbNzc0xbdo0/PTTTxg0aBCGDBkCAwMDREZG4uLFi+jZs6e8g+bvqlevDn9/f8ybNw/Ozs5wc3ODsbExoqOjcerUKbRq1QpffvmlwjWVK1fGxIkTMXr0aNSrVw8nT55ETEwMxo4dK+9WsrGxgYuLC/bu3Yvhw4ejX79+0NXVRXh4OO7cuYORI0fis88+K/PP/mO0bNkSLVq0wMGDB2FoaFisU6tIQkICXF1dMXToULx58wY7d+6EIAj47rvv5HNmz56Na9euYfbs2bh48SLatm2L5ORkhIaGQltbG/7+/gCA9u3bw87ODqGhoXj16hU6deqEwsJCnDx5Ei9evCj2OyYiIqLyxwITERERqZWwsDCEhYUBeL+Wkb6+PszNzTFhwgSMGTNGYWcyAGjevDn279+Pn3/+GSdOnEBoaChq166NPn36wMfHB40aNSr2HC4uLjhw4AA6d+5c4jpLPj4+aNq0KYKDgxEYGAiZTAZTU1PMnTsXHh4eH1zfyNnZGfXr10dgYCCCg4ORl5cHMzMzzJgxA+PHj0flypUV5rdt2xbDhg3D+vXrkZKSAgsLCyxduhQuLi4K85YsWYJ27dohLCwM69atg7a2NszNzbFkyZJicyvasGHDsGTJEvTv37/EtZYAYN68eYiNjUVAQAAEQUCnTp0wffp0NG/eXD6nbt262LdvHzZs2IAzZ87g8OHDqFmzJjp16oTJkycrLN69du1abN68GceOHcO5c+cAAFZWVvj+++/lOwASERFRxRHEotUmiYiIiEilNG/eHJ06dcL27duljvKv7NixA4sXL8a+ffvkC64X2b9/P3x9fbF8+fJSb58jIiIi9cM1mIiIiIio3OTl5SE0NBRt2rQpVlwiIiIizcVb5IiIiIiozG7evIkdO3YgLi4OT548wcaNG6WORERERErEAhMRERERlVnVqlVx+fJlaGlpwc/PDz169JA6EhERESkR12AiIiIiIiIiIqIy4RpMRERERERERERUJiwwERERERERERFRmbDAREREREREREREZcICExERERERERERlQkLTEREREREREREVCYsMBERERERERERUZmwwERERERERERERGXCAhMREREREREREZXJ/wM1XdpI+E0x+QAAAABJRU5ErkJggg==",
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",
       "text/plain": [
        "<Figure size 1200x800 with 1 Axes>"
       ]
@@ -12135,7 +12210,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 384,
+   "execution_count": 535,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -12146,7 +12221,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 385,
+   "execution_count": 536,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -12178,7 +12253,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 386,
+   "execution_count": 537,
    "metadata": {},
    "outputs": [
     {
@@ -12297,7 +12372,7 @@
        "38           Canada    Man   2582   2857"
       ]
      },
-     "execution_count": 386,
+     "execution_count": 537,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -12313,7 +12388,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 387,
+   "execution_count": 538,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -12329,7 +12404,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 388,
+   "execution_count": 539,
    "metadata": {},
    "outputs": [
     {
@@ -12402,7 +12477,7 @@
        "1         Germany    283    5.516569"
       ]
      },
-     "execution_count": 388,
+     "execution_count": 539,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -12413,7 +12488,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 389,
+   "execution_count": 540,
    "metadata": {},
    "outputs": [
     {
@@ -12486,7 +12561,7 @@
        "4   United States  17837       100.0"
       ]
      },
-     "execution_count": 389,
+     "execution_count": 540,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -12497,12 +12572,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 390,
+   "execution_count": 541,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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o0SPGZR07dtSvv/6qPXv2PDP4pkmTRm5ubrp79+4znyMmz9vH5MmTK2fOnNbfdVzE9DuPPu7+fS19TNKlS/efYTO6vi+//FJffvlljH2ij8U6deqoWbNmWrdunTp37ixXV1eVLFlSVapU0bvvvmsdMv+i/uu9FRsnT55Unz59dOfOHXXt2tXuvZUiRQqFhITEuG50e/QQ/hfRpUsXhYWF6euvv1b79u0lPflS5Msvv9S4ceOUNm3aF94mAODNRdgHAD2ZLO3ChQvau3evqlWrZrOsfPnyNo+TJ09u/f/okFSyZMnnnsH+96Rfjo6xG1gV09nDf4eW6Bo+/fRTZc+ePcbteHh42Dx+kTOEzZo105YtW7Rlyxa1adNGmzZtUokSJazBWZJKlCihHTt26MCBA9q9e7cOHjyoFStW6Pvvv1eXLl00YsSIWD9fTJ51FlX6v/3/95c0MV0jHd03rmdIowPzf03YV6pUKe3evVt+fn7KkSPHM/v16NFDGTNm1Icffmjdx2ddpx4VFfWf131Lzx5RENtj7lli85pFH5v9+/dX8eLFY+yTIkUKSU/OfH/xxRfq06ePdu7cqX379unIkSPau3ev5syZoxUrVsT4Zdd/edHr/P9tx44dGjJkiEJCQjRs2DB169bNrk+2bNmsE+r9282bN5UuXTqbz4kX0bNnT7Vv315//fWX3NzcZLFYFBkZqWvXrqlYsWJx2iYA4M3EMH4AkNS8eXNJ0ty5c2N1ljOah4eH3N3d9ejRI5UvX97uxzAMOTg4vPA//KOHn58/f95u2eXLl20eRwf81KlT2z3/22+/raCgIGvAiovy5csra9as2rp1qw4cOKDbt29bJ+aTpNDQUJ08eVI3btxQ5cqV9b///U8//vijtm/frpw5c2rRokUxTjr2IqJD3z///GO37Ny5c5JkNxnepUuX7PpeuHBBkp47UdvatWtVu3Ztbdy48ZnP9V8htEGDBpKeTIr3LMePH9euXbt06tQpubq6Wrf5999/2/UNCQmRn5+fzaRwyZIli/Hs8ouOKIhP0ceiq6ur3bFYtGhRPXr0yDoR3bVr17R//35lz55dHTp00DfffKP9+/dr0KBBunfvnr7//vsEr//nn39W//79FRkZqa+++irGoC9JxYoVk7+/v/z8/Gzag4OD9ffffz/zi47/smXLFu3YsUMpUqRQiRIlVLBgQSVLlkz79+9XeHi4fHx84rRdAMCbibAPAJKKFi2qLl266OjRoxoxYoSCgoLs+oSFhWnu3Lk2t6lLliyZatasqX/++UebN2+26X/27Fn17NlTn3/++QufSa5QoYLSpEmjpUuX6tGjR9Z2f39/u3tt165dW46Ojpo9e7Zd+Bs/frz69u2rU6dOvdDzP83R0VHvvvuujh49qiVLlsjd3V3vvPOOdfn9+/fVqlUrffrppzbr5ciRQ5kzZ5aDg8NLn1WuU6eOpCcz7D995joiIkIzZ8606RNt7dq1NteiP3r0SEuXLlW6dOnsRms8LfpuCosWLVJ4eLi1PSgoSF9//bVcXFyscyE8S6NGjVS4cGEtWbLE7riQpFu3bmnIkCGSpA8++EDSk995ypQptWTJEuut3qLNmTNHwcHBNvuYKVMmXbhwwWaUwYMHD/Tbb789t7b/4ujo+EJD3p9WsWJFpUiRQgsXLrTOIB9t9uzZGjBggHbt2mV93LlzZ504ccLax8nJyXr2+kWveX9ZZ8+e1dChQ+Xk5KTvvvtOdevWfWbf6Hkz5s6da9O+ePFihYWF2Vzi8iKWL1+ukSNH2hy3jx8/1rRp05QpUybrl0gAAMQGw/gB4P8bMmSIkiVLpvnz52vPnj2qU6eO8ufPL0dHR50/f14///yzbt++rezZs9vcym7IkCE6fPiwhgwZoj179qhYsWK6ceOGVqxYoWTJkunjjz9+4Vrc3Nw0ZswYDR48WE2bNlXLli0lybrNp+XOnVvvv/++pk2bpsaNG6tJkyZKnTq1fvnlF+3Zs0fVqlVT7dq1X+q1adq0qb755hv9+uuvatq0qc1IgSxZsqhFixZauXKlunXrpurVq8vBwUF79uzR4cOH1b59e+vZ3LgqU6aMWrVqpZUrV6ply5bWsL1582b5+vqqbdu2dnMDBAUFqWnTpmrdurUcHBy0cuVK3b9/X1OnTn3ucPhixYpZn6t169Zq3LixQkJCtHbtWl2+fFmffPLJM2+7Fs3R0VEzZ85U9+7dNWjQIK1cuVKVK1dWypQpde7cOa1du1bBwcEaMmSIqlatKunJNd4ff/yxhg8frkaNGqlVq1ZKnz699u/fr+3bt8vLy0vvvfee9TmaNWummTNnqnPnzmratKkCAgK0cuVKpUmT5qXO7mfIkEEnT57UggULVLx48WfeFz4mqVOn1kcffaSRI0eqYcOGatWqlTJlyqQDBw5oy5YtKlq0qNq2bStJ6ty5s7Zu3aoePXqodevWyp49u27duqXvv/9eqVKlsh7zCWXSpEkKDQ1V1apVdfPmTZtJKaPVqlVL7u7uKlGihJo2baqVK1fq4cOHqlixov7880+tWrVK1apVs5vML7b69u2rbt26qUOHDmrZsqWioqK0atUqXblyRbNmzYrzbRcBAG8mwj4A/H9OTk4aOnSoGjZsqHXr1mn//v3avHmzQkNDlSFDBpUqVUq1a9dWrVq1bM7UZ86cWWvXrrWG4Y0bNypdunTy8fFR7969VahQoTjVU69ePaVLl06zZs3SN998I1dXVzVs2FC5cuXS2LFjbfr26dNHb7/9thYvXqxvv/1WUVFRypEjh4YNG6YOHTq89FnSHDlyqEyZMjpw4IDNEP5oH330kfLmzasffvhBX375pSIjI5U3b159+OGH1nD3ssaOHauiRYtqxYoVmj59upIlS6YCBQpo8uTJdncokJ5MdhYZGan58+crLCxMxYoV0/jx41WqVKn/fK5PPvlEBQsW1MqVKzVp0iQ5OzurSJEi+vDDD1WxYsVY1fvWW29p5cqV+uGHH7Rp0yYtXLhQDx48UNq0aVWlShV17tzZLkg3atRIb731lr799lvrWeKcOXNq4MCB6tq1q83lIL1795YkrV+/Xp9//rmyZs2qdu3aKXv27Hr//fdjVWNMBgwYoI8++khTpkxRo0aNXijsS0/ugvDWW2/pu+++0+LFixUaGqqsWbOqd+/e6tatm/WLn3z58mnp0qX65ptvtH79et27d09p06ZV2bJl1bdv3zhdrx9XEREROnjwoCTpt99+e+boiF9++cVa/6effqqcOXNq7dq1+uWXX5QlSxb17t1bPXv2jPO8AeXKldN3332nWbNmadq0aXJycpK3t7fGjRunokWLxmmbAIA3l4PxvFmPAABIYg4ePKiOHTuqX79+LxV6AQAAkjKu2QcAAAAAwGQI+wAAAAAAmAxhHwAAAAAAk+GafQAAAAAATIYz+wAAAAAAmAxhHwAAAAAAk3H67y5vNn9/f+3Zs0fZs2e3ub8xAAAAAMSn0NBQXb16VRUrVpSHh0dil4MkjrD/H/bs2aOhQ4cmdhkAAAAA3hCTJk1So0aNErsMJHGE/f+QPXt2SU/ecPny5UvkagAAAACY1fnz5zV06FBrBgFeBmH/P0QP3c+XL5+8vLwSuRoAAAAAZsflw4gPTNAHAAAAAIDJEPYBAAAAADAZwj4AAAAAACZD2AcAAAAAwGQI+wAAAAAAmAyz8QMAAABAEmUYhvUH5uXg4GD9iS3CPgAAAAAkMcHBwbp3754eP35M0H9DODg4KGXKlEqfPr3c3Nz+sz9hHwAAAACSkODgYF25ckVp06ZV7ty55ezsnNglIQGEh4fr4cOHunLlinLmzPmfgZ+wDwAAAABJyL1795Q2bVplzpw5sUtBAkqWLJlcXV0lPTkGsmfP/tz+TNAHAAAAAEmEYRh6/Pix0qRJk9ilIJGkSZMmVpdvEPYBAAAAIImInoyPoftvLmdn51hNykjYBwAAAIAkgsn4EI2wDwAAAADAG4awDwAAAACAyTAbPwAAAACYREhIhMLCIhO7DBsuLsnk6hr36DlixAj98MMPkqRffvnlmbPQf/jhh1q1apWyZcumX3/9Nc7PZxavXdifM2eOFi9erL1799otCwoK0syZM7V161b5+/urQIECGjhwoMqVK2fXd9WqVVq0aJGuXr2qLFmyqGPHjmrXrl1C7AIAAAAAJLiQkAhlyzZb/v4hiV2KDQ8PV1271uulAn+0HTt2qHPnznbtkZGR+uWXX156+2byWg3j37Vrl2bMmPHM5YMGDdLChQtVo0YNDR8+XOHh4erWrZsOHTpk02/BggX68MMPlTNnTo0YMUIFChTQ2LFj9c0337zqXQAAAACARBEWFvnaBX1J8vcPiZfRBjly5HhmoD9y5Iju3bsnDw+Pl34es3gtwr5hGFq6dKn69u2r8PDwGPvs3btXO3fu1LBhwzR69Gi1bdtWS5cuVdasWTV+/Hhrv0ePHmn69OmqUaOGvv76a7Vp00bTpk1TvXr1NHv2bPn7+yfUbgEAAAAA4kmtWrV09OhR3b9/327Ztm3bZLFYlCNHjkSo7PX0WoT9Vq1a6dNPP1XFihXl5eUVY59NmzbJ2dlZLVu2tLa5u7urefPm8vX11aVLlyRJv/76q4KCgtS2bVs5ODhY+3bo0EEhISHasWPHK90XAAAAAED8q1mzpiIjI7Vz506bdsMwtH37dtWpU8dunUOHDqlXr14qW7asvLy8VKFCBQ0ZMkQ3btyw9lm3bp08PT11+vRpjRgxQmXKlFGxYsXUqVMnnT59+pXv16vyWoT9mzdvaty4cZo9e7ZSpEgRYx9fX1/lyZNH7u7uNu3RXw6cOnXK5r+FCxd+bj8AAAAAQNJRuHBhZcuWTdu3b7dpP378uG7dumUX9vfv36/OnTvr7t276tOnj0aPHq2yZctq06ZNGjp0qN32+/Xrpxs3bqh///7q3Lmz/vjjD/Xo0eOZo89fd6/FBH07duyQi4vLc/vcunVLRYsWtWvPlCmTJOn69euSpNu3b8vV1VVp06a16Zc8eXKlTZvW2g8AAAAAkLTUqFFDq1atUnBwsNzc3CQ9GcKfJ08e5c+f36bvggUL5OHhoSVLllj7tmnTRsHBwfrll190//59pUuXzto/X758mjt3rvWxs7OzZsyYoYMHD6pixYoJsHfx67U4s/9fQV+SAgMDrb+gp7m6ukqSgoODrf2i2/4tefLk1n4AAAAAgKSldu3aCgkJ0Z49e6xt27Zti3EI/zfffKONGzfa5MjHjx9bH/87G77zzjs2jwsWLChJunv3brzVn5BeizP7LyP6unxHxyffWxiGYXOt/r/7RvdLSGFhEXJxSfIvNeIosX//if38SFyJ/ftP7OdH4kns331iPz8SV2L//hP7+ZG4+P2/WiVLllT69Om1Y8cO1apVS76+vrp69WqMYT9ZsmS6deuWvvnmG/3zzz+6cuWKrl27JsMwJElRUVE2/dOnT2/z2NnZOcZ+SUWSOQrd3d0VEmJ/G4nob2NSpkz53H6SFBIS8sw5AV4lFxcnFS48QQEBoQn+3EhcqVIl16lTwxO1Bo6/NxfHHxILxx4SE8cfEtPrcPyZnaOjo6pXr67t27crIiJC27ZtU/bs2VWoUCG7vqtXr9bo0aOVK1culSpVSlWqVFGRIkW0fft2LViwwK7/s04aJ1VJJuxnzZpVd+7csWu/ffu2JClz5szWfsHBwXr8+LH1CwBJCg0N1YMHD6z9ElpAQCgf+Eg0HH9ITBx/SCwce0hMHH/Aq1OrVi2tXr1ahw8f1vbt21W7dm27PqGhofr8889VokQJLV682HqWXpJWrlyZkOUmmtfimv3Y8PLy0rlz5xQaavuh6evrK0kqUqSItd/T7f/uF9MkfwAAAACApKFcuXJKmTKlFixYoPPnz6tu3bp2fUJCQhQcHKxcuXLZBH0/Pz/9+uuvkqTIyMgEqzkxJJmwX7duXYWFhWnVqlXWtqCgIK1Zs0be3t7KkSOHJKlq1apyc3PT0qVLbdaPnoGxRo0aCVo3AAAAACD+uLi4qEqVKtq1a5eyZMkS4wndNGnSqHjx4vrxxx81btw4rV69WpMmTVKzZs0UFhYm6cnk7maWZIbxV6pUSZUqVdKECRN0/fp15cqVS6tWrdLNmzc1YcIEa780adKoT58+mjJlit5//31VrlxZe/bs0U8//aShQ4fa3ZIPAAAAAJC01KpVS5s3b1atWrWeea39tGnTNH78eP34448KCQlRlixZ1KpVK1WpUkXt2rXTvn37YrzW3yySTNiXnvyypk6dqg0bNig4OFienp6aN2+eSpYsadOvR48ecnNz05IlS/Tbb78pe/bsGjNmjNq0aZNIlQMAAADAq+XikkweHq7y9495wvLE4uHhKheXZHFef/z48Ro/frxN2zvvvGN3qzxJNiPBM2fOrKlTp8a4zb/++sv6/02bNlXTpk3t+lSuXNmmX1Lz2oX9JUuWPHNZihQpNHr0aI0ePfo/t9OhQwd16NAhPksDAAAAgNeWq6uTrl3rpbCw1+tadBeXZHJ1fe2ip+nxigMAAACASbi6OhGsISkJTdAHAAAAAABih7APAAAAAIDJEPYBAAAAADAZwj4AAAAAACZD2AcAAAAAwGQI+wAAAAAAmAxhHwAAAAAAkyHsAwAAAABgMoR9AAAAAABMhrAPAAAAAIDJEPYBAAAAwCTCIgwFh0W9Vj9hEUac92fgwIHy9PTUrVu37JbNnDlTnp6eqlmzZozrtm7dWqVKlVJUVFScnz8pc0rsAgAAAAAALy8swtDAxXcVGBr3cP0qpEjuoK86ZpCLk8MLr+vj46OtW7fq+PHjqlOnjs2y/fv3y9nZWX5+fvLz81OOHDmsy8LCwuTr66uKFSvK0fHNPMf9Zu41AAAAAJhMZJTx2gV9SQoMNRQZFbe6ypQpI0k6fvy4TXtQUJBOnDihhg0bSpIOHDhgs/zPP/9UWFiYypYtG6fnNQPCPgAAAADgtZQvXz5lyJBBJ0+etGk/fPiwwsPD1aZNG2XIkEH79u2zWf7HH39IEmEfAAAAAIDXUalSpeTr66uIiAhr2/79+5UmTRoVLlxYZcqU0YEDB2QY/zd64NixY/Lw8JDFYpEk/frrr2rbtq2KFSumEiVKqEuXLjpy5IjN84wYMUK1atXSyZMn1a5dOxUrVkyVK1fWt99+K8MwtGTJEtWsWVPFixdXmzZtdPr0aZv1/fz8NGrUKFWtWlWFCxdWqVKl7J7n6tWr8vT01Lp16zRz5kxVq1ZNRYoUUcOGDbVly5Z4fd0I+wAAAACA15aPj4+Cg4P1119/Wdv27dsnHx8fOTo6qly5cvL397dZfuzYMfn4+MjBwUHLly9X7969FRAQoP79+6tnz57y8/NTp06dtGPHDpvnun//vrp166ZChQppxIgRypAhg6ZMmaLu3btr0aJFateunXr06KE///xT/fr1U1hYmCTJ399fLVu21J49e9SqVSt9/PHHat68uY4fP64ePXro8ePHNs8zc+ZMbdiwQe3bt9fgwYP16NEjDRo0yGYfXhYT9AEAAAAAXltPX7fv5eUlf39//f3332rZsqWk/xuqv2/fPhUoUEAXL16Uv7+/ypYtqwcPHmjSpEmyWCxas2aNkidPLklq27atGjRooDFjxqhy5cpycXGRJAUEBGjIkCHq3r27pCejCho0aKAjR47o559/VubMmSVJgYGBmjt3ri5evGg9U+/v769169bJy8vLWnuWLFk0btw47du3T7Vr17a2h4aG6qefflKqVKkkSYUKFVKHDh20efNmeXp6xsvrxpl9AAAAAMBr6+2331b69Omt1+3v379fhmGoXLlykqQcOXIoW7ZsOnjwoKQnZ/WlJ18C7Nu3T0FBQeratas16EtSqlSp1K5dO925c8faP9rTs/7nyZNHklSkSBFr0JekXLlySZLu3LkjSXrvvfe0b98+m6AfHh5uvRNAUFCQzXNUqlTJGvSlJ2Ffku7evftiL85zcGYfAAAAAPBaK1WqlHVG/n379iljxozKly+fdXnZsmW1Y8cOGYahP/74Q5kzZ1aePHm0fft2SVLevHntthm9/rVr12za06dPb/1/JycnuzZJSpYsmSQpKirK2hYVFaVZs2bpzz//lJ+fny5fvqzw8HC7fpLk4eFh89jZ2TnGfi+DM/sAAAAAgNdamTJldPnyZQUEBOjAgQPWs/rRypYtq4cPH+qff/7RsWPHrEP/nycyMlKSrEP4o0UH/Kc5ODg8d1unT59WnTp1tHjxYrm5ualBgwaaNWuWpk6dGmP/6DP+rxJn9gEAAAAArzUfHx8ZhqHffvtNV69eVZ8+fWyWR1+3f+jQIZ0/f15du3aVJGXPnl2SdP78eRUrVsxmnQsXLkh6cl39yxo/frwkadOmTcqYMaO1fc2aNS+97bjizD4AAAAA4LX29ttvy8PDQ8uWLZMkuzP7mTJlUr58+fTDDz/IMAzrmf3y5cvLzc1NCxYsUGhoqLV/QECAli9frvTp08vb2/ul63vw4IHSpk2rDBkyWNtCQkK0YsUKSf83iiAhcWYfAAAAAPBac3BwUOnSpfXzzz8rV65cypo1q12fsmXLatmyZcqePbv1jH7atGk1dOhQjR07Vs2bN1eTJk0UERGhVatW6e7du5o2bVqMw/ZfVNWqVTVnzhz169dPVapU0YMHD7R27VrduHFD0pPZ+xMaZ/YBAAAAAK89Hx8fSf83ZP/fos/2/3t5u3btNGvWLKVIkULTpk3T3LlzlTt3bi1ZskS1atWKl9r69eun7t276/Tp0/rss8+0YsUKFSlSRJs2bVLq1Km1b9++eHmeF8GZfQAAAAAwgWSODkqR3EGBoUZil2IjRXIHJXN8/gR3sdG+fXu1b9/+mctr1aqlv/76K8ZlNWvWVM2aNZ+7/fHjx1uvvX9aTNts2rSpmjZtan3s4uKiIUOGaMiQIXZ9Dx8+bP3/7Nmzx7i95MmTP7P2uCLsAwAAAIAJuDg56KuOGRQZ9XqF/WSODnJxevmwjxdD2AcAAAAAk3gSqgnW4Jp9AAAAAABMh7APAAAAAIDJEPYBAAAAADAZwj4AAAAAACZD2AcAAAAAwGQI+wAAAACQRDg4MNM+nvivY4GwDwAAAABJhIODg5ycnBQUFJTYpSCRBAUFycnJ6T/DvlMC1QMAAAAAeEkODg5Knz69rl+/rvTp0ytVqlRyciLWvQkiIiIUEBCge/fuKWPGjIR9AAAAADATDw8Pubq66vbt27p3756ioqISuyQkAEdHRyVPnlw5cuSQu7v7f/Yn7AMAAABAEuPu7q7cuXPLMAzrD8zLwcHB+hNbhH0AAAAASKJeNADizcEEfQAAAAAAmAxhHwAAAAAAkyHsAwAAAABgMoR9AAAAAABMhrAPAAAAAIDJEPYBAAAAADAZwj4AAAAAACZD2AcAAAAAwGQI+wAAAAAAmAxhHwAAAAAAkyHsAwAAAABgMoR9AAAAAABMhrAPAAAAAIDJEPYBAAAAADAZwj4AAAAAACZD2AcAAAAAwGQI+wAAAAAAmAxhHwAAAAAAkyHsAwAAAABgMoR9AAAAAABMhrAPAAAAAIDJEPYBAAAAADAZwj4AAAAAACZD2AcAAAAAwGQI+wAAAAAAmAxhHwAAAAAAkyHsAwAAAABgMoR9AAAAAABMhrAPAAAAAIDJEPYBAAAAADAZwj4AAAAAACZD2AcAAAAAwGQI+wAAAAAAmAxhHwAAAAAAkyHsAwAAAABgMoR9AAAAAABMhrAPAAAAAIDJEPYBAAAAADAZwj4AAAAAACZD2AcAAAAAwGQI+wAAAAAAmAxhHwAAAAAAkyHsAwAAAABgMoR9AAAAAABMhrAPAAAAAIDJEPYBAAAAADAZwj4AAAAAACaT5ML+mTNn9N5776l48eLy9vZW586d9eeff9r0CQoK0sSJE1WtWjUVK1ZMrVq10v79+xOpYgAAAAAAElaSCvuXLl1Su3bt9Oeff6pHjx7q37+/Ll68qA4dOuivv/6y9hs0aJAWLlyoGjVqaPjw4QoPD1e3bt106NChRKweAAAAAICE4ZTYBbyIhQsXKjAwUCtWrFDx4sUlSdWrV1eDBg309ddfa9q0adq7d6927typkSNHqnPnzpKkd999V40aNdL48eO1bt26RNwDAAAAAABevSR1Zt/Pz0/u7u7WoC9JuXPnVq5cuaxn9jdt2iRnZ2e1bNnS2sfd3V3NmzeXr6+vLl26lNBlAwAAAACQoJJU2M+TJ4+CgoJ0+/Zta1tISIju3LmjjBkzSpJ8fX2VJ08eubu726zr5eUlSTp16lTCFQwAAAAAQCJIUmH/vffeU7Zs2TR48GCdPn1a58+f17BhwxQQEKD33ntPknTr1i1lyZLFbt1MmTJJkq5fv56gNQMAAAAAkNCS1DX7WbJkUe/evfXJJ5+oSZMm1vaPP/5YVapUkSQFBgbKzc3Nbl1XV1dJUnBwcMIUCwAAAABAIklSYX/atGn6+uuvVaxYMbVt21ZOTk764YcfNHbsWBmGoXbt2j1zXQcHB0mSo2OSGswAAAAAAMALSzJhPyAgQPPmzZPFYtHSpUvl4uIiSWrQoIHee+89jRs3TjVr1pS7u7tCQkLs1o8+o58yZcoErRsAAAAAgISWZE5zX7x4UaGhoapXr5416Edr2rSpwsPDdfToUWXNmlV37tyxWz96Ur/MmTMnSL0AAAAAACSWJBP2kydPLkmKiop6Zp+oqCh5eXnp3LlzCg0NtVnm6+srSSpSpMirKxIAAAAAgNdAkgn7+fPnV+bMmbV+/XoFBQVZ2w3D0OrVq+Xs7KzSpUurbt26CgsL06pVq6x9goKCtGbNGnl7eytHjhyJUT4AAAAAAAkmyVyz7+joqI8//ljvv/++mjdvrhYtWihZsmTaunWr/vjjDw0cOFCZM2dW5syZValSJU2YMEHXr19Xrly5tGrVKt28eVMTJkxI7N0AAAAAAOCVSzJhX5Jq1KihRYsWadasWZo+fboiIiJksVg0efJkNWzY0Npv2rRpmjp1qjZs2KDg4GB5enpq3rx5KlmyZCJWDwAAAABAwkhSYV+SSpcurYULFz63T4oUKTR69GiNHj06YYoCAAAAAOA1kmSu2QcAAAAAALFD2AcAAAAAwGQI+wAAAAAAmAxhHwAAAAAAkyHsAwAAAABgMoR9AAAAAABMhrAPAAAAAIDJEPYBAAAAADAZwj4AAAAAACZD2AcAAAAAwGQI+wAAAAAAmAxhHwAAAAAAkyHsAwAAAABgMoR9AAAAAABMhrAPAAAAAIDJEPYBAAAAADAZwj4AAAAAACZD2AcAAAAAwGQI+wAAAAAAmAxhHwAAAAAAkyHsAwAAAABgMoR9AAAAAABMhrAPAAAAAIDJEPYBAAAAADAZwj4AAAAAACZD2AcAAAAAwGQI+wAAAAAAmAxhHwAAAAAAkyHsAwAAAABgMoR9AAAAAABMhrAPAAAAAIDJEPYBAAAAADAZwj4AAAAAACZD2AcAAAAAwGQI+wAAAAAAmAxhHwAAAAAAkyHsAwAAAABgMoR9AAAAAABMhrAPAAAAAIDJEPYBAAAAADAZwj4AAAAAACZD2AcAAAAAwGQI+wAAAAAAmAxhHwAAAAAAkyHsAwAAAABgMoR9AAAAAABMhrAPAAAAAIDJEPYBAAAAADAZwj4AAAAAACZD2AcAAAAAwGQI+wAAAAAAmAxhHwAAAAAAkyHsAwAAAABgMoR9AAAAAABMhrAPAAAAAIDJEPYBAAAAADAZwj4AAAAAACZD2AcAAAAAwGQI+wAAAAAAmAxhHwAAAAAAkyHsAwAAAABgMoR9AAAAAABMhrAPAAAAAIDJEPYBAAAAADAZwj4AAAAAACZD2AcAAAAAwGQI+wAAAAAAmAxhHwAAAAAAkyHsAwAAAABgMoR9AAAAAABMhrAPAAAAAIDJEPYBAAAAADAZwj4AAAAAACZD2AcAAAAAwGQI+wAAAAAAmAxhHwAAAAAAkyHsAwAAAABgMoR9AAAAAABMhrAPAAAAAIDJEPYBAAAAADAZwj4AAAAAACZD2AcAAAAAwGQI+wAAAAAAmAxhHwAAAAAAkyHsAwAAAABgMkku7AcHB+vLL79UtWrVVKxYMTVs2FA//PCDTZ+goCBNnDjR2qdVq1bav39/IlUMAAAAAEDCSlJhPyoqSr169dJ3332nGjVqaPjw4UqbNq1GjBihFStWWPsNGjRICxcutPYJDw9Xt27ddOjQoUSsHgAAAACAhJGkwv4PP/ygAwcO6H//+59Gjx6ttm3bauHChSpYsKBmzJghwzC0d+9e7dy5U8OGDbP2Wbp0qbJmzarx48cn9i4AAAAAAPDKJamwv27dOuXIkUNt2rSxtiVLlkwffPCB2rRpo6CgIG3atEnOzs5q2bKltY+7u7uaN28uX19fXbp0KREqBwAAAAAg4SSZsB8eHq4TJ06ofPnycnR8UnZgYKAMw1CVKlXUr18/pUiRQr6+vsqTJ4/c3d1t1vfy8pIknTp1KsFrBwAAAAAgISWZsH/16lWFh4crW7ZsWrRokSpXrqwSJUqobNmymj17tgzDkCTdunVLWbJksVs/U6ZMkqTr168naN0AAAAAACQ0p5dZ+eHDhzpy5Ihu376tOnXq6MGDB8qTJ48cHBziqz6rgIAASU+G8j98+FC9e/dWpkyZtH79ek2dOlWBgYEaPHiwAgMD5ebmZre+q6urpCez+QMAAAAAYGZxDvvffPON5syZo5CQEDk4OKho0aKaOnWqHjx4oPnz5yt16tTxWafCwsIkSX5+flq3bp0KFCggSapbt646dOigBQsWqGPHjs9cP/oLiOhLAAAAAAAAMKs4Jd+lS5dqxowZ6tKli1atWmUdQt+pUyf5+flp2rRp8VqkJOvZem9vb2vQl56E+KZNmyo8PFxHjx6Vu7u7QkJC7NaPPqOfMmXKeK8NAAAAAIDXSZzC/pIlS9SjRw8NGDDAOvGdJFWqVEkDBw7Ur7/+Gm8FRsucObMkKUOGDHbL0qdPL0kKCgpS1qxZdefOHbs+t2/fttkOAAAAAABmFaewf/36dfn4+MS4LG/evLp79+5LFRWTDBky6K233tL58+ftll29elWS9NZbb8nLy0vnzp1TaGioTR9fX19JUpEiReK9NgAAAAAAXidxCvtvvfWWjh07FuOyU6dO6a233nqpop6lQYMGOnfunH755RdrW1hYmJYvXy4PDw+VKlVKdevWVVhYmFatWmXtExQUpDVr1sjb21s5cuR4JbUBAAAAAPC6iNMEfc2bN9eMGTPk6uqqqlWrSnoSqH/++WfNmTNHXbp0ic8arXr16qVffvlFH3zwgdq1a6ds2bJp/fr1On/+vKZMmSJnZ2dVqlRJlSpV0oQJE3T9+nXlypVLq1at0s2bNzVhwoRXUhcAAAAAAK+TOIX97t276+rVq5o8ebImT54sSdaZ8Bs2bKiePXvGX4VPSZkypZYvX66vvvpKP/74ox4/fiyLxaJvvvlG1apVs/abNm2apk6dqg0bNig4OFienp6aN2+eSpYs+UrqAgAAAADgdRKnsO/g4KCxY8eqS5cuOnDggB4+fKhUqVLJx8dH+fPnj+8abaRLl06ffPKJPvnkk2f2SZEihUaPHq3Ro0e/0loAAAAAAHgdxSnsR8uTJ4/y5MkTX7UAAAAAAIB4EKew36FDBzk4OMS4zNHRUe7u7sqVK5datGihvHnzvlSBAAAAAADgxcRpNv4cOXLo+PHj1hn5M2bMKEdHR508eVKHDx+Wv7+/Nm3apGbNmun06dPxWjAAAAAAAHi+OJ3Zz5gxo7Jmzar58+cra9as1vY7d+7ovffeU+XKldWzZ0/17dtXX331lb799tt4KxgAAAAAADxfnM7sr127VgMGDLAJ+tKTLwH69Omj5cuXK1myZGrdurVOnDgRL4UCAAAAAIDYiVPYDw4OlrOzc4zLHBwcFBgYKElyd3dXWFhY3KsDAAAAAAAvLE5hv0SJEpo2bZru3Llj037v3j3NmjVLxYsXlyQdOnRIOXPmfPkqAQAAAABArMXpmv2RI0eqXbt2qlWrlooXLy4PDw/5+/vr2LFjSpEihb788kv9/vvvmjVrlsaMGRPPJQMAAAAAgOeJ05n9vHnzasuWLerSpYtCQ0Pl6+srwzDUvXt3/fTTT8qXL5/Spk2rqVOnqlWrVvFdMwAAAAAAeI44ndmXpHTp0mnAgAHPXF60aFEVLVo0rpsHAAAAAABxFOewf/z4cR06dEjh4eEyDEOSZBiGgoKCdPToUa1atSreigQAAAAAALEXp7C/bNkyffbZZ9aQ/zRHR0dVrFjxpQsDAAAAAABxE6dr9pcuXaqKFSvq4MGD6tatm1q2bKnjx49r2rRpSp48uRo1ahTfdQIAAAAAgFiKU9i/evWq2rdvrzRp0qhIkSI6evSoXF1dVadOHfXs2VOLFy+O7zoBAAAAAEAsxSnsOzs7y9XVVZKUO3duXb58WeHh4ZKkEiVK6NKlS/FWIAAAAAAAeDFxCvsFCxbUzp07JUm5cuVSVFSUjh8/Lkm6efNmvBUHAAAAAABeXJwm6OvSpYv69eunhw8faty4capRo4aGDRumOnXqaOPGjSpZsmR81wkAAAAAAGIpTmf2a9asqdmzZ+vtt9+WJI0dO1Z58uTRihUrlDdvXn344YfxWiQAAAAAAIi9OJ3Zl6SqVauqatWqkqR06dJp/vz51mUM5QcAAAAAIPHE+Zr9kydPxrjsyJEjeuedd16qKAAAAAAAEHexPrM/f/58BQUFSZIMw9Dq1av1+++/2/U7duyYXFxc4q9CAAAAAADwQmId9sPCwjRz5kxJkoODg1avXm3Xx9HRUalSpVLv3r3jr0IAAAAAAPBCYh32e/XqpV69ekmSChQooFWrVqlo0aKvrDAAAAAAABA3cZqg7+zZs/FdBwAAAAAAiCdxno1/79692rlzp4KDgxUVFWWzzMHBQV988cVLFwcAAAAAAF5cnML+d999p8mTJyt58uTy8PCQg4ODzfJ/PwYAAAAAAAknTmF/2bJlatiwoT7//HNm3gcAAAAA4DXjGJeV7t27p+bNmxP0AQAAAAB4DcUp7BcqVEj//PNPfNcCAAAAAADiQZyG8Y8aNUoDBw6Uu7u7ihUrJjc3N7s+WbNmfeniAAAAAADAi4tT2G/Tpo2ioqI0atSoZ07Gd+bMmZcqDAAAAAAAxE2cwv5nn30W33UAAAAAAIB4Eqew36RJk/iuAwAAAAAAxJM4hX1JCgsL05o1a7Rv3z7duXNHX3zxhQ4dOiQvLy8VLVo0PmsEAAAAAAAvIE6z8fv7+6tZs2b6/PPPdfnyZZ08eVIhISHatWuXOnTooGPHjsV3nQAAAAAAIJbiFPYnTpyowMBAbdmyRT/88IMMw5AkTZs2TUWKFNH06dPjtUgAAAAAABB7cQr7O3fu1IABA5QrVy6b2fiTJ0+url27ytfXN94KBAAAAAAALyZOYT80NFRp06aNcVmyZMkUHh7+MjUBAAAAAICXEKewX6RIES1fvjzGZRs3blThwoVfqigAAAAAABB3cZqNf8CAAercubMaN26sKlWqyMHBQZs2bdKMGTO0Z88efffdd/FdJwAAAAAAiKU4ndkvVaqUFixYIDc3N3333XcyDEMLFy7UnTt3NGfOHJUtWza+6wQAAAAAALEUpzP7klS6dGmtWLFCISEhevjwoVKmTCk3Nzc5Osbp+wMAAAAAABBP4pzMv/nmG3Xr1k2urq7KnDmzTp06pQoVKmjhwoXxWB4AAAAAAHhRcQr73333nWbOnCmLxWJty5Urlxo3bqwpU6Zo5cqV8VYgAAAAAAB4MXEaxr9q1Sp98MEHeu+996xtWbJk0YgRI+Th4aHFixerVatW8VYkAAAAAACIvTid2b9165a8vLxiXFakSBFdvXr1pYoCAAAAAABxF6ewnyNHDu3bty/GZQcPHlSWLFleqigAAAAAABB3cRrG36ZNG33xxReKiIhQzZo1lT59evn7+2vHjh1avHixhgwZEt91AgAAAACAWIpT2G/Xrp1u3rypBQsW2My+nyxZMnXq1EmdO3eOp/IAAAAAAMCLilPYf/jwoQYPHqwePXro+PHjevDggVKnTq2iRYsqXbp08V0jAAAAAAB4AXEK+y1atNDAgQNVr149VapUKb5rAgAAAAAALyFOE/Q9fPiQM/gAAAAAALym4hT2O3bsqIkTJ+rAgQPy9/eP75oAAAAAAMBLiNMw/g0bNuj69evq0qVLjMsdHBx0+vTplyoMAAAAAADETZzCfqNGjeK7DgAAAAAAEE/iFPb79esX33UAAAAAAIB4EqewH23Xrl3at2+f7ty5ow8++EBnzpyRl5eXsmXLFl/1AQAAAACAFxSnsB8cHKy+fftq3759SpkypQIDA9WtWzd9//33On36tJYuXar8+fPHd60AAAAAACAW4jQb/5dffilfX18tXLhQBw4ckGEYkqSJEycqc+bMmjZtWrwWCQAAAAAAYi9OYX/r1q0aNGiQypYtKwcHB2t7xowZ1bt3bx09ejTeCgQAAAAAAC8mTmH/0aNHz7wuP02aNAoKCnqpogAAAAAAQNzFKeznz59fGzdujHHZr7/+yvX6AAAAAAAkojhN0Ne7d2/169dPDx48ULVq1eTg4KDDhw9r3bp1WrFihaZMmRLfdQIAAAAAgFiKU9ivWbOmJk2apClTpmjXrl2SpPHjxyt9+vQaM2aM6tatG69FAgAAAACA2HvhsH/y5Eldu3ZNefPm1W+//aYLFy7owYMHSp06tfLmzStHxzhdGQAAAAAAAOJJrMP+o0eP1LNnTx0/flyGYcjBwUHe3t768ssvlTdv3ldZIwAAAAAAeAGxPg3/1Vdf6fTp03r//ff17bffavjw4bp48aI+/PDDV1kfAAAAAAB4QbE+s79z504NGjRInTp1kiRVrlxZmTNn1pAhQxQUFCR3d/dXViQAAAAAAIi9WJ/Zv3Pnjry8vGzaypQpo8jISN24cSPeCwMAAAAAAHET67AfEREhFxcXm7Y0adJIkkJDQ+O3KgAAAAAAEGfxMnW+YRjxsRkAAAAAABAP4iXsOzg4xMdmAAAAAABAPIj1BH2SNGbMGKVMmdL6OPqM/ocffqgUKVJY2x0cHLRo0aJ4KhEAAAAAALyIWIf90qVLS7Ifsh9TO8P6AQAAAABIPLEO+0uWLHmVdQAAAAAAgHgSL9fsAwAAAACA1wdhHwAAAAAAkyHsAwAAAABgMoR9AAAAAABMhrAPAAAAAIDJEPYBAAAAADAZwj4AAAAAACZD2AcAAAAAwGQI+wAAAAAAmAxhHwAAAAAAkyHsAwAAAABgMkk27J8+fVpeXl6aMWOGTXtQUJAmTpyoatWqqVixYmrVqpX279+fSFUCAAAAAJDwkmTYDw8P18iRIxUREWG3bNCgQVq4cKFq1Kih4cOHKzw8XN26ddOhQ4cSoVIAAAAAABJekgz7s2fP1vnz5+3a9+7dq507d2rYsGEaPXq02rZtq6VLlypr1qwaP358IlQKAAAAAEDCS3Jh/+zZs5ozZ4569+5tt2zTpk1ydnZWy5YtrW3u7u5q3ry5fH19denSpQSsFAAAAACAxJGkwn5ERIRGjRqlKlWqqG7dunbLfX19lSdPHrm7u9u0e3l5SZJOnTqVIHUCAAAAAJCYklTY//bbb+Xn56ePP/44xuW3bt1SlixZ7NozZcokSbp+/forrQ8AAAAAgNdBkgn7f//9t77++msNHz7cGt7/LTAwUG5ubnbtrq6ukqTg4OBXWiMAAAAAAK+DJBH2IyMjNXLkSJUuXVrNmzd/4fUdHBwkSY6OSWJ3AQAAAAB4KU6JXUBszJs3T3/99ZeWL18uf39/SVJAQICkJ2fr/f39lTJlSrm7uyskJMRu/egz+ilTpky4ogEAAAAASCRJIuzv3r1b4eHhatGihd2yefPmad68eRo3bpyyZs2qO3fu2PW5ffu2JClz5syvvFYAAAAAABJbkgj7w4cP16NHj2zabty4oVGjRqlx48Z699139fbbb+vo0aP68ccfFRoaquTJk1v7+vr6SpKKFCmSoHUDAAAAAJAYkkTYL1y4sF3b+fPnJUk5cuRQ+fLlJUl169bVmjVrtGrVKnXo0EGSFBQUpDVr1sjb21s5cuRIuKIBAAAAAEgkSSLsx1alSpVUqVIlTZgwQdevX1euXLm0atUq3bx5UxMmTEjs8gAAAAAASBCmCvuSNG3aNE2dOlUbNmxQcHCwPD09NW/ePJUsWTKxSwMAAAAAIEEk2bCfL18+/fXXX3btKVKk0OjRozV69OhEqAoAAAAAgMTHjecBAAAAADAZwj4AAAAAACZD2AcAAAAAwGQI+wAAAAAAmAxhHwAAAAAAkyHsAwAAAABgMoR9AAAAAABMhrAPAAAAAIDJEPYBAAAAADAZwj4AAAAAACZD2AcAAAAAwGQI+wAAAAAAmAxhHwAAAAAAkyHsAwAAAABgMoR9AAAAAABMhrAPAAAAAIDJEPYBAAAAADAZwj4AAAAAACZD2AcAAAAAwGQI+wAAAAAAmAxhHwAAAAAAkyHsAwAAAABgMoR9AAAAAABMhrAPAAAAAIDJEPYBAAAAADAZwj4AAAAAACZD2AcAAAAAwGQI+wAAAAAAmAxhHwAAAAAAkyHsAwAAAABgMoR9AAAAAABMhrAPAAAAAIDJEPYBAAAAADAZwj4AAAAAACZD2AcAAAAAwGQI+wAAAAAAmAxhHwAAAAAAkyHsAwAAAABgMoR9AAAAAABMhrAPAAAAAIDJEPYBAAAAADAZwj4AAAAAACZD2AcAAAAAwGQI+wAAAAAAmAxhHwAAAAAAkyHsAwAAAABgMoR9AAAAAABMhrAPAAAAAIDJEPYBAAAAADAZwj4AAAAAACZD2AcAAAAAwGQI+wAAAAAAmAxhHwAAAAAAkyHsAwAAAABgMoR9AAAAAABMhrAPAAAAAIDJEPYBAAAAADAZwj4AAAAAACZD2AcAAAAAwGQI+wAAAAAAmAxhHwAAAAAAkyHsAwAAAABgMoR9AAAAAABMhrAPAAAAAIDJEPYBAAAAADAZwj4AAAAAACZD2AcAAAAAwGQI+wAAAAAAmAxhHwAAAAAAkyHsAwAAAABgMoR9AAAAAABMhrAPAAAAAIDJEPYBAAAAADAZwj4AAAAAACZD2AcAAAAAwGQI+wAAAAAAmAxhHwAAAAAAkyHsAwAAAABgMoR9AAAAAABMhrAPAAAAAIDJEPYBAAAAADAZwj4AAAAAACZD2AcAAAAAwGQI+wAAAAAAmAxhHwAAAAAAk0lSYf/kyZPq3r27SpYsqSJFiujdd9/V+vXrbfoEBQVp4sSJqlatmooVK6ZWrVpp//79iVMwAAAAAACJIMmE/fPnz6tDhw7666+/1L17dw0bNkxubm4aPny4FixYYO03aNAgLVy4UDVq1NDw4cMVHh6ubt266dChQ4lYPQAAAAAACccpsQuIrQkTJsjR0VGrV69W5syZJUnt2rVT27ZtNX36dLVs2VLHjx/Xzp07NXLkSHXu3FmS9O6776pRo0YaP3681q1bl4h7AAAAAABAwkgSZ/YjIyN1+PBhVapUyRr0JcnR0VHvvPOOgoKCdObMGW3atEnOzs5q2bKltY+7u7uaN28uX19fXbp0KRGqBwAAAAAgYSWJM/uOjo768ccf5eDgYLfM399fkpQsWTL5+voqT548cnd3t+nj5eUlSTp16pRy5879yusFAAAAACAxJYmw7+DgoBw5cti1BwUFae3atUqRIoUKFSqkW7duqWjRonb9MmXKJEm6fv36K68VAAAAAIDEliSG8cfEMAyNHj1ad+7cUdeuXZU8eXIFBgbKzc3Nrq+rq6skKTg4OKHLBAAAAAAgwSXJsG8Yhj7++GNt3rxZPj4+6tmz53P7Rw//d3RMkrsLAAAAAMALSRLD+J8WFham4cOHa8uWLSpSpIi++eYbOTs7S3oyGV9ISIjdOtFn9FOmTJmgtQIAAAAAkBiSVNgPDg5Wv379tGfPHpUqVUpz5syxCfBZs2bVnTt37Na7ffu2JNnM5A8AAAAAgFklmXHtERERev/997Vnzx5VrVpV8+bNsztT7+XlpXPnzik0NNSm3dfXV5JUpEiRBKsXAAAAAIDEkmTC/owZM7R7925Vr15dM2fOtE6697S6desqLCxMq1atsrYFBQVpzZo18vb2jnFGfwAAAAAAzCZJDOO/d++e5s+fLycnJ1WsWFFbtmyx61OuXDlVqlRJlSpV0oQJE3T9+nXlypVLq1at0s2bNzVhwoREqBwAAAAAgISXJML+sWPHFBYWJkkaO3ZsjH3mzp2rTJkyadq0aZo6dao2bNig4OBgeXp6at68eSpZsmRClgwAAAAAQKJJEmG/Zs2a+uuvv2LVN0WKFBo9erRGjx79iqsCAAAAAOD1lGSu2QcAAAAAALFD2AcAAAAAwGQI+wAAAAAAmAxhHwAAAAAAkyHsAwAAAABgMoR9AAAAAABMhrAPAAAAAIDJEPYBAAAAADAZwj4AAAAAACZD2AcAAAAAwGQI+wAAAAAAmAxhHwAAAAAAkyHsAwAAAABgMoR9AAAAAABMhrAPAAAAAIDJEPYBAAAAADAZwj6eq3r1t3XixBC79kaNvPTrr310+fKH2rq1h7y9s/3ntjw9M2rVqk7y8/tYf/89Sp999o6cnZPZ9Bkxoob++WeU/vlnlEaNqmm3DTc3Z+3c2VcffFAl7jsFAAAAACZH2MczdehQSkuXtteJEzds2rt08dHs2S20Zs0JNWo0T0eP+mn9+q7KkCHFM7eVL196bd3aU8mTO6lZswUaMmSDmjf31ief1LH2adu2hPr0qaBBgzZo2LCNGjKkmgoWzGyznVmzmunChbuaOnVX/O4sAAAAAJiIU2IXgNdPwYKZ9emn76h69fySpGPHrlqX5cuXXl98UV+ffPKzZs/eJ0k6ceK6GjTwUtu2JTR9+u4YtzlhQkPdvv1YzZsvVHh4pCTJyclRX3/dXBMn7tSDB8Hq1Km0Fi8+rI0bfeXm5qyoqChlyZJKZ87ckiQNHVpNefKkV716377K3QcAAACAJI8z+7BRq5an9u7tr1SpkmvYsI2SpD/++L+wP3BgFfn7B2n+/IM261265K+3384Q4zbTpXNT1ar5NHv2PmvQl6RDh/zk4uKk/PmfrFekyFs6ePCKJKlYsaxydHTU33/fkSTVr19IXbqUUfv2SxUcHB5/OwwAAAAAJkTYh41btwJUtuxXqlNnjqKiDEVFRenYsWuSpOTJndSokZc2bvRVWFikzXqpU7vK0dEhxm3myJFOjo6O+uuv2zbt2bKlkSSlTJlckuTvH6ScOdMqTRpXDRtWXb//fl7Xrj1UoUKZNX16E3Xp8r2uXXsY37sMAAAAAKZD2IeNkyevW8+mlyiRXRcu+OvRoxBJUqlSOZQqlat27Pjbbr3cuT10925gjNt88CBYkpQnj4dNe9euPpJkXW/y5N/08cd1dPHih3rrrdQaOHC90qd317Jl7TVmzM86ePBy/OwkAAAAAJgc1+zjmUqWzG4zhL9o0bckSUeP+tn0y5s3vdKmddPJk7YT+UW7cuW+jh+/pmHDquvPP2/o/Pm7ev/9SmrRwlthYRE6f/6uJGnhwkNat+6k0qRxlZ/fAzk5OeqHH7rqp5/OasmSI6pfv5DGjKmjzJlTae/ei+rRY5UCAkJf0d4DAAAAQNLFmX3EKGVKF739dgabyfkyZEgpf/8g3b8fbNO3Vi2LJGnfvovP3F6XLt/rzp3H2rWrn65c+UglS+bQpUv+Onr0qoKC/u8a/EePQuTn90CSNHFiQ0VERGn06K3Kly+95s5tqQkTflXRopOUL18GdepUOh73GK+rMmVyasuW7rp2bYxOnRqmQYOq/uc6Dg4O6tWrvA4d+kBXr36sn3/uqWLFslqXp0qVXPPnt9blyx/p2LHBql+/kN028ufPoL//HqXy5XPH494AAAAACYOwjxh5e2dTsmSO1uv1JSk4OFxBQWF2fZs399aePRd082bAM7d3+fJ91ao1W15eE5Qnz2caPnyjcuZMq3XrTsbY/733yqpKlXzq2vV7RUZGqXXrEjp16obWrDmhBw+C9ehRiNKnf/at/mAOZcrk0vr13XTzZoDq15+r8eN/0cCBldWrV/nnrjdlSiONHl1Lc+fuV8OG3+nhwxAtW9Zerq5PBjONH99AhQplVsuWi7Rxo6+mTWtis36aNK5atqyDxo3boX37Lr2q3QMAAABeGcI+YlS8eHaFh0fq5Mnr1rZz5+4oU6aUSp3a1drWokUxlSyZXZMn73zmtj799B0tXNhGknTjxiMFBIRq8uRGunHjkZYv/8Ouf6VKeTVyZA21b7/UOoqgcOEsOn78SS2pUiVXwYKZdfr0zXjZV7y+pk17VwcOXFbXrit0/Pg1LV16VFOm/KbBg6s+c5169Qqqc2cf9eu3VnPnHtCxY9c0atRmpU+fQoULv6VUqZKrSZMi1nkgfv/9gjw83OXikkyS5OjooPnzW2v37gtasOBQAu0pAAAAEL8I+4hRyZLZdebMLYWERFjbNm8+o+vXH+mbb5qrdOkc6tSptCZPbqzZs/fq998vSHoyY3/+/BmUNq2bdb1Tp26oQYNC6tLFR6VL59B337VS2bK51bPnarvb6OXO7aF581qrX791OnPm/2bvv379kYoVy6pSpXJo6tR3FRAQqi1bzrziVwGJqWjRrLJYMmnmzN027YcPX1H69CmUOXOqGNcbOrS6jhy5ovXrT1nbzp27q7fe+lhHjvjJ0zOTXF2drRM+entn08WL96x3mPj883pycXHS8OEbX9GeAQAAAK8eYR8xKl48m80QfkkKD49U27ZLlCaNqzZs6KY+fSpo7NifNWrUFmuf5s2L6eDBD1SiRDZr28qVxzV+/K8aPLiqVq3qpNSpXfXOO9/aDY9OmdJFy5e315w5+7R1q22Qnz79dzk6OmrDhm7Kmze92rZdosBA+0sKYB45c6aVJJ09+6xbNrrYrePpmVHFimXVH39c08qVHXX58ofau7e/WrQoZu1z796Tuz/kyuWht9/OoC5dfLRixTFJUrt2JfXOOwXVufNyRUREvYrdAgAAABIEs/EjRsWKTY6x/ezZ22rQ4Ltnrrds2VEtW3bUrn3y5J3PHeovSY8fh6l8+ekxLntyzf83z10f5vL0LRuvXXtobe/SxfaWjU+rXDmfpCeh/fPPt+vLL39T27YlNWdOS/n7B+mXX/7RxYv+WrXquH79tY8kacuWM5oxY7fKlMmpsWPrqlGjebp3L+hV7x4AAADwShH2AbyWDh/20/Xrj/Tpp/XUtev38vcP0scf11HZsrl148YjPXwYYrdO4cJPbg/Zu/dqbdp0WpJ08OAVlSiRXe3bl9Qvv/wjSerVa7XGjPlJkZFRunMnUNmypdHChW31wQfr5et7U8OHV1fXrmXk5OSoJUuOaMyYnxNuxwEAAIB4wDB+AK+l0NAItWu3RG5uzjp6dLD++WeUUqZMrocPg/X77+djXCdDhhTy87tvDfrRTp68bh3+H+3mzQDduRMoNzdnLVvWXosWHdaPP/qqdevi6t69nJo1W6j69eeqX7+K8vbOJgAAACApIewDeG2dOHFdZct+pSJFJip37k+1dOkRpUnjpnXr/oyxf2BgmPz8Hti158uXXtevP4pxnVmzmuny5fsaP/4XSVKnTqW1ePFhnTp1w7qtDBm4zeObKnduDy1Z0k6XL3+oc+f+pxUrOspiyfjcddzcnPXFF/V04sQQ/fXXSH311bs2c0ykSpVc8+e31uXLH+nYscGqX7+Q3Tby58+gv/8epfLlc8f3LgEAgDcEYR/Aa2nevFb64ot6kqRr1x4qMtLQF1/U17Fj17R9+18xrnPmzC1ZLJnk7u5sbStXLrd8fHJp/Xr7LwiGDauu/Pkzqk+fNdY2L68sOnHiyW0efXxyytHRkds8vqFSp3bVpk3dlTVrGnXp8r1atVqkqChD69Z1tbkF6dOcnZNpzZrOqlYtvwYP/lGdO38vb+9smjr1XWuf8eMbqFChzGrZcpE2bvTVtGlNbLaRJo2rli3roHHjdthNZAoAABBbhH0Ar6WzZ2+rUycfNWlSROXK5daKFR311lup1bv3aklS2rRuyp8/g5In/7+pRxYsOCRHRwctXNhWpUvnUMuW3lqypJ1++umsza34JKl+/ULq1q2M2rVbanNnh+vXH6lKlXwqUyaXxo59R9u2/fXMUQEwt3btSihjxhRq23aJfv31nI4evap+/dYqa9bUqlQpb4zrDBpURUWKvKVmzRZox46/tX//JX344VY1a1ZMmTKlVKpUydWkSRGNGfOzDh68rN9/vyAPD3e5uCSTJDk6Omj+/NbavfuCFiw4lJC7CwAATIYJ+gC8lr766nd5eLhr/PgGcnR00O7dF1Sz5je6eNFfkvTFF/XVpEkRWSxfKDQ0QtKTGfybNl2gL76opw0buun+/WAtWXJE48btsNl2oUKZNWNGU3XsuExXrty3WTZ69BZNntxILVp4a/fuC3r//bUJs8N47WTIkFKPHoXo1q0Aa1v0Gf2oKMOuf4oULurdu4IWLz5s8wXRhQv3JEl586ZXRESUXF2ddfDgZUmSt3c2Xbx4T2FhkZKkzz+vJxcXJw0fvvGV7RcAAHgzEPYBvJbCwyM1cuRmjRy5OcblffqssRl+H+3kyevPvT2kJJ0+fUt5834W47IdO/6Wt3fMt57Em2XNmuPq2bOcuncvq8WLjyhr1tSaPr2pzpy5pV9++duu/zvvFFTq1K5avfqETXv0FwSOjg66d+/JLSNz5fJQ+vSh6tLFRwsXPjmD365dSb3zTkHVqPG1IiKiXvHeAQAAsyPsAwAQg7t3A/Xbb+c1YUJDTZjQUJJ04MAl1a8/13om/mlVq76tW7cCrHM+RMuTx0OSdO9eoC5e9NeqVcf16699JElbtpzRjBm7VaZMTo0dW1eNGs3TvXtBr3jPAADAm4Cwn0CenokZbw5+70DSlC6dm376qadcXJKpd+/VOnfurt55p6AGDaqqqlXz2c0BIUlFi76lY8eu2bUXL55djx+H6vz5J8P5e/VarTFjflJkZJTu3AlUtmxptHBhW33wwXr5+t7U8OHV1bVrGTk5OWrJkiMaM+bnV76/AADAfAj7CSAi0pCv74jELgOJJCLSkFMyh8QuA8AL6NGjnLJnT6uqVWfqzJnbkqSjR6+qYsU86tTJJ8awnyFDSu3add6uvVYtiw4fvmIzNP/mzSfzALi5OWvZsvZatOiwfvzRV61bF1f37uX07rvzFRERqT173tf69ad0/Lj9lwgAAADPQ9hPAE7JHPTxsvMKCeMazDeNq4ujPmmXL7HLAPCCihXLprNnb1uDfrTw8Cg5O8d8I5vg4DAFBYXZtHl6ZlTRolnVt6/9/BKSNGtWM12+fF/jx/8iSerUqbQWLz6sU6duKEWKJyODMmRI8bK7AwAA3kCE/QQSEhal0HDCPgAkBffuBcrTM6NNW+7cHvLxyalJk3bGuM65c3dlsdiuM25cA128eE9r1py06z9sWHXlz59RdevOsbZ5eWXR7Nn7JEk+Pjnl6Oio06dvvuzuAACAN1DMpycAAHiDLVp0WDlypNWMGU1VpkxO1axp0YoVHXX+/F19881epU3rpvz5Myh58v/7zvzrr/eqfv1C6tWrvEqVyqFZs5rJxyenevdeo/Bw2wn96tcvpG7dyqhdu6UKDPy/0QDXrz9SlSr5VKZMLo0d+462bfvL5jZ+eHN0715W/v6f2/107uzzzHXq1i2g337rqxs3PtHRo4PUoUMpm+WpUiXX/PmtdfnyRzp2bLDq1y9kt438+TPo779HqXz53PG9SwCABMaZfQAA/uXIET+1arVYo0bV0po1XRQYGKatW89o7NifFRgYpq+/bq4mTYrIYvlCoaERkqRdu85r6NCNGjy4qtKkcdPRo36qX3+u3ez8hQpl1owZTdWx4zJduXLfZtno0Vs0eXIjtWjhrd27L+j999cm2D7j9VKzpkU//nhKn3++3ab96tWHMfZv0qSI5s5tqXnzDql//x9UuXJeTZnSSPfuBWrLljOSpPHjG6hQocxq2XKR6tcvqGnTmmjz5tPWbaRJ46plyzpo3Lgd2rfv0ivbNwBAwiDsA28A7grwZuL3/nJ27jynnTvPxbisT5816tPH/jr8RYsOa9Giw8/d7unTt5Q372cxLtux4295e09+8WJhKsmTO6lChTwaOvRH/fPP3f/snyKFiyZNaqQVK45p+PCNkqSTJ68rT570GjKkmrZsOaNUqZKrSZMi6tp1hQ4evKxUqZKrX79KcnFJprCwSDk6Omj+/NbavfuCFiw49Kp3Ea+57t3LWm85+rRBgzZo4cKYj49PP31HfftWtGtv0WKhfvnlH6VKlVzTpjVRjRoW+fsHavTorTZfNklPRpZs3txDnTsv5wsnIB4Q9gGT424QbzbuBgEkPZUq5ZW7u4t2774Yq/7Vqr0tDw93TZv2u0374cNX1Lp1cUmSp2cmubo66+DBy5Ikb+9sunjxnsLCnlxi8vnn9eTi4mT9sgBvthcdWRK9zpw5+zR//kGb9osX/SUxsgRIDIR9wOS4G8Sbi7tBAElTjRr5FRAQov/9r6aqVcuv8PAI/fijrz77bLuCg8Pt+ufMmU4REZF2owCyZUsjNzdnubgk0717gZKkXLk8lD59qLp08bGeoW3XrqTeeaegatT42uYWkXgzvejIEknKnj2tPD0zaciQmNdhZAmQOAj7wBuAu0EAQNJRs6ZFQUHh2rfvkr79dr/KlcutDz+sreTJnTRkyI92/R88CJaTUzLlzJnOOg9E8uROatu2hB49ClFYWKQuXvTXqlXH9euvfSRJW7ac0YwZu1WmTE6NHVtXjRrN0717QQm6n3g9vejIEkmqVcui4OBwHTniF+NyRpYAiYOwDwAA8JpwdHTQp59u0x9/XNPVqw8kSceOXVO2bGnUvn2pGMP+jh1/KzAwTF9+2Vh9+66Vg4M0aVIj5cmTXocOXbb269VrtcaM+UmRkVG6cydQ2bKl0cKFbfXBB+vl63tTw4dXV9euZeTk5KglS45ozJifE2q38Rp50ZEl0pMvqO7ceazvvmulcuVy6+HDYC1f/oemTt2lqCiDkSVAIiHsAwAAvCaiogz9+KOvXfv58/eUKlVyubk52wWu27cfq1OnZZo+vanOnBmh0NAIrV17QhERkfr99ws2fW/eDJAkubk5a9my9lq06LB+/NFXrVsXV/fu5fTuu/MVERGpPXve1/r1p3T8+LVXt7N4Lb3oyBJn52SqVCmvbt0K0A8/nNTUqbtUt24B/e9/tRQeHqnp03czsgRIJIR9AACA18TAgZUVEBCqefNsJzkrViyrrl9/9Mwzq7/+ek5Fi05StmxpdOtWgFq29FbbtiW1bt3JGPvPmtVMly/f1/jxv0iSOnUqrcWLD+vUqRtKkeLJnTwyZEgRj3uGpCAuI0tcXZ3Ur99a7dlzUf7+TwL7H39cVYECmdWqVXFNn75bEiNLgMTgmNgFAAAA4Iny5fOoSxcfOTj831003n47g5o1K6qVK4/FuM7WrT3Ur19FRUUZ8vN7oFSpkmvkyJrauPGUzp69bdd/2LDqyp8/o83tI728sujEieuSJB+fnHJ0dNTp0zfjee/wuoseWRId9KM9PbLk3wICQvXjj77WoB/twoW7dl8Y3bwZoDt3Ap85sqRZs4WqX3+u+vWrKG/vbPG+f8CbhrAPAADwmpg794AKFcqiWbOaqWjRrGrVylsbNnTThQv3NGXKTqVN66b8+TMoefL/G5x57txdvf9+JdWsaVG1am9r7douCg+PjPEsbP36hdStWxm1a7dUgYFh1vbr1x+pSpV8KlMml8aOfUfbtv2l69cfJcg+4/UxcGBldetWxq79eSNLxo6tqyZNiti1Fy2aVRcu3IvxeZ43ssTP74EkRpYA8YFh/ACAVyplSpfELgEJjN953G3f/pfee2+lBg+uqp9+6qGbNwO0YsUxTZmyU0FB4Zo8ubGaNCkii+ULhYZGSJJGjdqsZMkc9e23LRUSEqFt287qiy926M6dQJttFyqUWTNmNFXHjsuss/ZHGz16iyZPbqQWLby1e/cFvf/+2gTbZ7w+ypfPo6xZU2v+/EMyDEPS/40smTNnf4zr1K7tKYslk3744c+ntpNblSvn1eDB9l84RY8sqVt3jrXNyyuLZs/eJ4mRJUB8IuwDAF6ZiEhDvr4jErsMJIKISENOyRz+uyPsrFt38pnX2vfps8Zm+L30ZBj1v9ticvr0LeXN+1mMy3bs+Fve3pNfvFiYyty5B7RyZUfNmtVMs2fvU8GCmfTRR3VsRpZkzJhCV648sH7ZNHfuAU2a1EhjxtTR2rUn5eOTUx99VFu//XZeixcfsdl+9MiSWrVmxziy5ObNAEaWAPGIsA8AeGWckjno42XnFRLG7ZTeJK4ujvqkXb7ELgPAC4rLyJJ58w4qWTJH9ehRTj16lNOVK/c1ZcpvmjVrr3V0gMTIEiAxEPYBAK9USFiUQsMJ+wCQFLzoyBJJ+vbb/fr225iH+UdjZAmQ8JigDwAAAAAAkyHsAwAAAABgMoR9AAAAAABMhrAPAAAAAIDJEPYBAAAAADAZwj4AAAAAACbDrfcAAIAppUzpktglIBHweweAJwj7AADAdCIiDfn6jkjsMpBIIiINOSVzSOwyACBREfYBAIDpOCVz0MfLziskLCqxS0ECc3Vx1Cft8iV2GYwweEPxe8frhLAPAABMKSQsSqHhhH0kPEaWvNkYWYLXBWEfAAAAiEeMLHlzvS4jSwCJsA8AAADEO0aWAEhs3HoPAAAAAACTIewDAAAAAGAyhH0AAAAAAEyGsA8AAAAAgMkQ9gEAAAAAMBnCPgAAAAAAJkPYBwAAAADAZAj7AAAAAACYDGEfAAAAAACTIewDAAAAAGAyhH0AAAAAAEyGsA8AAAAAgMkQ9gEAAAAAMBnCPgAAAAAAJkPYBwAAAADAZAj7AAAAAACYDGEfAAAAAACTIewDAAAAAGAypg37V69e1YABA1S2bFmVLFlSffv2lZ+fX2KXBQAAAADAK+eU2AW8Cvfv31fHjh0VFBSkjh07Knny5Jo/f77atm2rDRs2yMPDI7FLBAAAAADglTFl2F+4cKGuX7+uNWvWqHDhwpKkSpUq6d1339XcuXM1fPjwRK4QAAAAAIBXx5TD+Ddt2iRvb29r0Jcki8WismXLatOmTYlYGQAAAAAAr57pwv7Dhw919epVm6AfzcvLS7dv39bt27cToTIAAAAAABKG6cL+rVu3JEmZM2e2W5YpUyZJ0o0bNxK0JgAAAAAAEpLprtkPDAyUJLm5udktc3V1lSQFBQXFenuhoaGSpPPnz79UXUH3riosPOqltoGkJ9LZUb6+YYldBsffG4rjD4mFYw+JieMPiellj7/ozBGdQYCXYbqwbxiGJMnBweGZfRwdYz+g4erVq5KkoUOHvlxheGNtm5vYFeBNxvGHxMKxh8TE8YfEFB/H39WrV1WiRImX3xDeaKYL++7u7pKk4OBgu2UhISGSpJQpU8Z6exUrVtSkSZOUPXt2JU+ePH6KBAAAAIB/CQ0N1dWrV1WxYsXELgUmYLqwny1bNknSnTt37JZFT8wX0/X8z+Lh4aFGjRrFT3EAAAAA8Byc0Ud8Md0EfalSpVLOnDl1+vRpu2W+vr7KmjWrMmTIkAiVAQAAAACQMEwX9iWpbt26OnLkiM6ePWtt+/vvv3XgwAE1aNAgESsDAAAAAODVczCiZ7QzkQcPHqhhw4aKjIxU165d5eDgoAULFsjFxUVr1qyRh4dHYpcIAAAAAMArY8qwL0l+fn4aN26c9u/fLxcXF/n4+GjYsGHKkSNHYpcGAAAAAMArZdqwDwAAAADAm8qU1+wDAAAAAPAmI+wDAAAAAGAyhH0AAAAAAEyGsP8amTFjhjw9PXXw4MFn9qlevbqqV6/+wtu+evWqPD09NXnyZJv2S5cuvfC2nqdly5axru/AgQPq1auXypYtq8KFC6tKlSoaMmSIzpw5E2P/l6nVz89PkZGRcV4f8ScwMFALFy5U8+bN5ePjo6JFi6pRo0b67rvvFBYWltjlPdP58+fl6empGTNmJHYpScab8pl28ODB5x4b8+bNk6enp5o0aaJHjx49s/aEMHnyZHl6eurq1asJ/tyInf86nl7U999/b/M+TMzjD6+WYRjavn27evfurerVq6tw4cIqV66cunfvrp9++imxywOQCJwSuwAkDA8PD02cOFEWi8Xa9vXXX2vFihX6/fffE7yeNWvW6H//+5+KFi2qbt26KW3atLp27ZrWrl2rLVu2aPr06apZs6a1/0cffaS//vpLK1eufOHnWrt2rT755BMdPnxYyZIli8/dwAu6dOmS+vTpoytXrqhevXpq3LixoqKitHfvXk2aNEm7du3Sd999p+TJkyd2qXjNvW6fac+yatUqa53z589X6tSp5eTkZFc7kFBieu8g6QsMDNSwYcO0Y8cOeXt7q1WrVkqfPr3u3bunrVu3asCAAWrYsKEmTZokBweHxC4XQAIh7L8h3N3d1bhxY5u2/fv3J8rZ7uDgYE2YMEEVKlTQvHnzbP7odOrUSY0bN9aYMWNUpUoVOTs7S5L27NmjDBkyxOn5Dh8+rNDQ0HipHXEXFhamvn376t69e1q9erUKFixoXdapUyfNmzdPEydO1IQJE/TRRx8lYqVICl6nz7Rn2bJliz7++GPlyZNHCxYsULp06STFXDuQUDj+zGns2LHasWOHxo4dq1atWtks69Gjh7744gstXrxYFStW1Lvvvps4RQJIcAzjR4I7d+6cHj16pPLly9t9u5wuXTo1btxY/v7+unLlSiJViFdh+fLlOnfunEaMGGET9KN169ZN+fPn14YNG/T48eNEqBCIP7t27dKwYcOUPXt2LVq0KM5fVgLAfzl27JjWr1+vRo0a2QV9SXJwcNDQoUOVMWNGrVixIhEqBJBYCPtJ3Lp16+Tp6anTp09rxIgRKlOmjIoVK6ZOnTrp9OnT1n7/vkavevXqOnTokO7evWt3beCuXbvUpk0beXt7q0SJEurevbt8fX3tnnvbtm1q2rSpihUrptq1a2vHjh2xqjllypSSnpz1evjwod3y/v37y9fXV/ny5ZMkeXp66tq1azpx4oQ8PT21bt06SU+GrH311VeqX7++ihYtKm9vb7377rtas2aNdVsdOnTQDz/8IEkqWrSoRowYYV12/PhxdevWTSVKlJC3t7fat2+v/fv329QSFhamzz//XDVr1lThwoVVsWJFjRgxQrdu3YrVvuL/bN68WSlSpFDDhg2f2Wf27NnavXu39RjZsWOHOnXqpNKlS1vndfj4449tjpsZM2aoUKFC8vPzU9++fVWyZEkVL15cffr0kZ+fn832/fz8NGrUKFWtWlWFCxdWqVKl1KVLFx05csSmX0hIiCZMmKDKlSurWLFi6tatm+7cuWNXb0REhObNm6cmTZqoePHiKlq0qOrVq6e5c+cqKirqZV6uN1ZS/Ez7t0OHDql///7KlCmTFi1apMyZM9ssj+maaU9PT3399ddaunSp6tSpo8KFC6t27dpasmSJ3fZ3796t1q1by9vbW1WqVNGsWbM0c+ZMeXp62vQ7e/asunfvrpIlS6p8+fKaOXOmDMOw215ISIi++uor6+dcpUqV9Mknn+j+/fs2/Tw9PTVr1iwtXLhQNWrUUNGiRdW8eXMdP35c/v7+Gjp0qPW5PvroIwUHB8fp9YOtESNGqFatWjp9+rQ6deokb29v+fj4aNiwYfL397fpe/XqVQ0cOFBlypRRqVKl9OmnnyoiIsKuz7+Pv9j8PcXr68cff5Qk9erV65l9XFxcNHPmTM2cOdOm/datWxo5cqTKly+vwoULq0GDBlq2bJlNn+jP5W3btql27doqWrSoPvnkE+uxtHbtWk2dOlUVK1ZUsWLF1KFDB128eFF+fn7q1auXihcvrsqVK+vLL7+0G321evVqtW7dWiVKlFDhwoVVs2ZNTZ482WYOn9i8By5evChPT099+umndvu+fPly698V4E3DMH6T6Nevn3LkyKH+/fvr9u3bmj9/vnr06KGdO3dah8I/bdSoUZoyZYru3LmjDz/80PqPxHXr1mnUqFEqVaqUBg8erMDAQK1evVpt2rTRwoULVaJECUlP/rAMHTpUXl5eGjx4sG7cuKEhQ4bI0dFRadOmfW6tefLkUcmSJXX06FFVrVpV1atXV/ny5VW2bFlly5bNrt6JEydq3LhxSpUqlfr162etoVevXjpx4oTatm2rfPny6e7du1q1apX+97//KXv27Cpbtqx69eqlqKgoHTlyRF988YXy5s0rSdq7d6969uypvHnzql+/fpKkDRs2qGvXrpo6darq1q0rSRozZow2b96sDh06KFeuXLp8+bIWL14sX19fbdiwQY6OfF8WG4Zh6PTp0ypRooScnJ79sZM9e3br/69bt04jR45UhQoVNHDgQElPQtuKFSusYfzp7Xfo0EFFihTR0KFDde7cOS1btky3bt3S2rVrJUn+/v5q2bKlnJ2d1aZNG2XIkEHnz5/XypUr1aNHD/3+++/WLxn69OmjvXv3qlmzZvLy8tLOnTutx8nTRo8erfXr16tly5Zq06aNAgIC9MMPP2jy5Mny8PBQs2bN4uPleyMlpc+0p/3555/q1auXIiMjtXDhQmXNmjXW665Zs0ahoaFq166d0qRJo+XLl+uzzz5Tjhw5VLVqVUnSzp071bdvX+XOnVsDBgzQo0ePNH/+fLv31fnz59W2bVu5urqqe/fucnR01LJlyxQYGGjTLywsTN26ddORI0fUoEEDde3aVefOndPKlSu1b98+rVq1SmnSpLH2X7VqlZIlS6YOHTooJCREc+bMUb9+/ZQ+fXrlyJFDQ4cO1e7du7Vy5UqlS5dOH3zwQaz3H8/24MEDde7cWTVq1FC9evV09OhRbdiwQSEhIZo+fbqkJ59xrVu3VmBgoDp16qQ0adJozZo12rBhw39uPzZ/T/H6OnTokDJmzGg9SfIs3t7eNo9v3bql5s2bKyIiQm3atFH69Om1Z88ejR07VhcvXtTo0aNt+g8fPlxt2rRRpkyZlCdPHmv79OnTlTp1avXu3Vs3btzQ/Pnz1b9/fwUEBKhcuXIaMWKENm7cqDlz5ih79uxq2bKlpCdf1s+cOVPvvPOO3n33XYWGhmrr1q2aO3euXFxc1L9/f+tz/Nd7IE+ePCpSpIh+/vln/e9//7P599nmzZuVL18+FSpUKK4vMZB0GXhtTJ8+3bBYLMaBAwee2adatWpGtWrVrI/Xrl1rWCwW47333rPpN2PGDMNisRi7d+82DMMw/Pz8DIvFYkyaNMnap3379kb58uWtjwMCAowSJUoYvXr1stnWo0ePjCpVqhhNmjQxDMMwIiMjjQoVKhi1a9c2QkJCrP127dplWCwWm/qe5e7du0bXrl0Ni8Vi81OvXj1j6dKlRkREhN1+t2jRwvr4xIkThsViMRYsWGDT7/Tp04bFYjE+/fRTa9vw4cMNi8VirTUyMtKoUaOG0aRJEyMsLMzaLzQ01GjWrJlRoUIFIzQ01DAMwyhatKjxySef2DzHggULjMaNGxt+fn7/uZ944u7du4bFYjE++OCDWK9Tr149o3HjxkZkZKRNe+PGjY3ixYtbH0e/bz766CObfiNGjDAsFotx4cIFwzAMY+7cuYbFYjFOnTpl02/BggWGxWIxfv75Z8MwDOO3334zLBaLMXXqVGufqKgoY9CgQYbFYjGmT59uGIZh3LlzxyhQoIDNsWYYhuHv728UKFDA6NmzZ6z31azelM+0AwcOGBaLxejfv7/h4+NjeHp6GhaLxVi8eHGM/WOq3WKxGIULFzauXbtm12/QoEHWtho1ahhVqlQxAgICrG0nT540ChQoYFgsFmvbgAEDjIIFCxrnz5+3tt28edPw8fExLBaL9fNrxYoVhsViMb7++mubGn/66SfDYrEYn3/++XNrHD9+vGGxWIzevXtb28LCwozKlStbX1+8mOjjKfqzJvpv2Jw5c2z6tW/f3ihUqJARFBRkGIZhTJw40bBYLMa+ffusfQICAozatWvbvA//ffy9yN9TvJ5KlChhNGvWzK49JCTEuHfvnt1P9N/V4cOHGyVKlLD798ynn35qWCwW48yZM4Zh/N/n8oABA2z6RR9L5cqVs/lMev/99w2LxWJ89tln1rZHjx4ZXl5eRr9+/QzDePI5UbJkSbu/laGhoUa5cuWMBg0aWNti+x5YvHixYbFYjP3791v73Lhxw/D09LT7jAPeFJyWNIl33nnH5nH0NdF3796N9Tb27t2rx48fq06dOvL397f+hIeHq2rVqvL19dWtW7fk6+urO3fuqFmzZjazpleuXPk/v1WOlj59es2bN08bNmxQv379VLx4cTk5OencuXMaO3asevbsaTf08GlFixbVkSNH1LZtW2ubYRjW4WH/Pnv1tNOnT8vPz081a9ZUQECAdT8fP36s2rVr686dOzp16pQkKUuWLNqyZYvWrFljHSrWuXNnrV+/3uYsNJ4v+i4Iz/ud/tv69eu1aNEim2/n/f39lSpVKgUFBdn1r1evns3j6PfAvXv3JEnvvfee9u3bJy8vL2uf8PBw6/ajt7lr1y5JUvv27a39HBwc1KlTJ5vtZ8iQQUeOHNGgQYNs2gMCApQiRYoYa0TsJbXPNEn66aef5OjoqOXLlytjxoyaPHmyzp8/H+v1vb29bUYCZM+eXWnSpLHu89mzZ+Xn56dWrVpZR6FIUpEiRVShQgXr46ioKP3+++8qX768dTSTJGXOnNnudd2xY4dcXV3VtWtXm/Y6deooX758dpcyFClSxKbG6O0/ffcUZ2dnZcuWTbdv3471vuO//fszrlChQoqIiNCDBw8kPfnsyps3r8qVK2ftkzJlSjVv3vy5232Zv6d4PURFRcV4ic7q1atVrlw5u5/r168rKipKO3bsUPHixeXu7m7zGRk9uvG3336z2V6lSpVifP4KFSrYfCZFn/V/+nMhVapUSp8+vfWSOGdnZ+3du9fuFpD3799X6tSpY/V3/t/vgfr168vJyUlbtmyx9tm8ebMMw1CDBg1irB0wO4bxv0ai/5H5vNmkIyIilCJFCrv29OnT2zyOHub6ItcNX758WdKTYVrPcv36dd28eVOSlCNHDrvl+fLli/Fa2GcpUKCAChQooPfff18BAQHatm2bpk6dqt27d2vTpk3PnTHWxcVF69at06FDh3Tp0iVdunTJ+o+SmP7oRYue+G/atGmaNm1ajH2uX7+uEiVKaMyYMRo4cKB1SFihQoVUvXp1tWzZUhkzZoz1fr7p0qZNKxcXF2vwjg1nZ2f9888/2rhxoy5cuKArV65Yj72YPOs98PT7KSoqSrNmzdKff/4pPz8/Xb58WeHh4dZl0pPrWd3c3OwmVHs6NEVLnjy5tm7dqt27d+vSpUu6fPmy9R8dzzsG3xRv2mda6tSpNX/+fBUsWFBjxoxR3759NWzYMK1cufK5l69E8/DwsGtzdna27nP0/uTOnduuX968ebV7925JT4a7BgYGPnN/nnb16lVlzZo1xttd5s2bVzt27FBUVJT1S7F/vy+iv8j79+8rWbJkvAfi2X99xl29elU+Pj5268XmC6u4/j3F6yFTpkwxzitTs2ZNm79da9as0ebNmyU9+fI8ICBAu3fvtvmC6GnXr1+3efzvYzDavz8Xoj/vYvq8ePoz3MXFRfv27dOOHTusf+ejv9zMli2b3fP813vAw8NDFSpU0LZt2/TRRx/JyclJmzZtUvHixWP8PATeBIT910j0dZHPm4n80aNHMV4DGh/3TI3+g/7RRx/ZXIv1tLx581r/YRzTPwBi8w/xDRs26OzZs3b/AE+VKpWaNWumt/9fe/ce11OeP3D81XRRkVEs2m8u61IuiVLalCmpBmUyYdQW7bgOJc245TLsLO0IuaS2EdEqKSbKqnUZKWZSzZjFPB6iZXms3TW5pJFC198ffn13vt3IjDT1fj4ePR6d2+e8z7fTOd/3OZ9Lv3689957nD9/vsFk/+HDh3h7e3Pjxg1sbGywtbVl5syZmJmZqTxJrk9NjPPnz8fKyqredfr16weAjY0NGRkZZGRkkJmZyVdffUVYWBgxMTEkJCQ06a1fW2dhYcHFixcpKytDS0ur3nXi4+M5e/YsCxcu5NixY0RGRmJiYoK5uTljx45l2LBh7Nixg+PHj9fZ9nn/A5cvX8bHxwdNTU1GjhyJm5sbgwYNoqSkpE674vrO7drzysrKmD17Njk5OVhbWzN8+HB+97vfMXz4cGV7xLaurVzTavj4+ChrIDg5OeHq6kpqaiqRkZEsWLDguds/rw+QmpoxDf3/1PYix1NdXd3gZ11RUYGGhoZKXDXJfW0ybver97zzQ01N7aXO4Z9yPxUtw/Dhw0lKSuKf//ynSnLfvXt3unfvrpzOyspS/l5zXjg6OjJt2rR6y+3atavKdEPnYEPXhcZUV1ezbNkyUlJSMDc3x9TUFA8PD8zNzQkKCqrT+WRj+/8xd3d3MjMzyc7ORqFQcPnyZRnOV7Rpkuy3IDUJZn5+Pi4uLnWW37x5k8ePH2NsbPxK9l/zFLVTp06MHDlSZdmFCxd49OgR2tra9OzZE3jW82ltLzJcXm5uLp9//jlTpkyp921p//79AdDW1m6wjL1795Kfn09UVBT29vbK+bV7X69PzXHq6OjUOc6rV69y+/ZtdHR0ePLkCVeuXMHQ0JBx48Ypq78mJyezbNkyDh48qNK7v2ici4sL2dnZHD16FA8PjzrLq6qqOHDgAPn5+axatYrIyEjGjRvHli1bVBKJptQO+LH169cDcPToUZVaGbV7m+7ZsyeZmZncvn0bQ0ND5fza53ZaWhrZ2dmsXr0ab29v5fyysjKKi4tfKsbWpq1c02rU/iK6atUqzp07x2effYa9vT1mZmZNPQQVNXHevHmz0Tj19fXR09Or93hqXyONjIzIzc3lyZMnda65N27cUPkfEC2bkZHRC/3Na/sp91PRMrz77rskJSWxZ8+eenujr4+BgQE6OjqUlZXVuT4WFhby9ddf06tXr1cRLgDffPMNKSkpzJw5k6VLl6osu3///ks/QBwzZgzt27fn5MmTGBkZoaGhUaf5khBtibTZb0HMzMzo1q0biYmJ9bZL3b17N4CyLdVP9cYbb6g88be1tUVbW5vo6GiVIU+KiooICAhg+fLlqKurM2jQIBQKBQkJCSpv7HJycsjPz3/uft955x0AgoOD6x2aKTExEVBt61U71pqq0rXfrMfExACqbcNrvoDXbG9qakrXrl3Zt2+fSlJWVlbGsmXLCAgIoKKigvv37zN16lQiIyNV9lHzhf1lnmS3ZVOmTKFXr15s2LCBvLy8Osu3bdtGXl4eEydOVA6t17dvX5Ub/oULF7hw4QLQtPb/8Oyc6dSpk0q1widPnijHHK6pBujs7AzAzp07VbavPQRazTlYk9DWiIuLo7y8vMnxtUZt5ZrWEAMDAz7++GMqKipYunQpT548eemyAAYPHoyRkRGHDh1SuXZev35dWYUfnr3hdXJyIicnh0uXLinnFxUV8de//lWlTCcnJ54+fcqePXtU5h87doybN28yZsyYnxSzaD4uLi7cunWLY8eOKeeVlZUp76kNacr9VLRMVlZWvPvuuxw4cEB5Xa3t/PnzKm3ZNTQ0sLe3JysrS+U6Ac961w8ICODatWuvLOaG7qHHjx/nv//970ufd9ra2rz99tucPn2azMxM7Ozs6m0iJURbIW/2WxBNTU3Wrl3LggULmDhxIpMmTaJHjx48evSI9PR0cnJy8PLyqvME9mV16dKFnJwcdu3ahZWVFUOHDmXRokUEBwczefJk3N3dUVdXJyEhgTt37rB582ZlO6w1a9Ywf/58pkyZwtSpUykqKuIvf/kL+vr6z92vtbU1c+fOZceOHYwfPx5XV1d69erF48eP+eqrr8jIyMDHxwdra2uVWK9evcq+ffuwtrbGwcGB2NhY/Pz8lFWmT5w4QW5uLpqamiodCtUkdxEREdja2mJjY8Pq1atZuHAh7u7uvPfee+jp6ZGcnExeXh6LFy9GX18ffX193NzcSEhIoLS0FEtLS4qLi0lISEBXV5cpU6b8LH+HtkJLS4uIiAjef/99pkyZgqurK0OHDqWkpIT09HS+/fZbzM3NWbFiBVpaWigUCnbv3k1lZSUKhYKrV69y8OBB1NXVqaiooKSkRGVIsOdxcHBQDhNmb29PUVERSUlJ3L59G/hfJ1TW1tbKcYYLCwuxsrIiOzubr7/+WqU8W1tbNDU1WbFiBT4+Pmhra5OVlcWJEydo166ddGpF27mmNWb8+PH87W9/48SJE2zatKnOUFZN8cYbb7By5UrldW/SpEk8evSIuLg4NDQ0VL4cBwYGcubMGWbMmIGvry/t27cnISGhztuySZMmkZKSwtatW7l+/ToWFhZcv36dhIQEevbsybx58146XtG8ZsyYwdGjR1m8eDEXL17E0NCQ5ORkZVLVkKbcT0XLtWbNGqqqqggJCeHw4cM4OztjaGjIgwcPOHv2LLm5ubRr147AwEBljZ3FixeTk5ODr68vXl5e9OrVi+zsbNLS0nBwcGiwQ76fg4WFBR07dmTjxo3cuXMHAwMD/v73v5OSkvKT76HvvPMOhw4doqCggNDQ0J8xaiF+eSTZb2Hs7e1JTExk9+7dHDlyhHv37tGhQwf69u1LaGjoz9qb6OzZs7ly5Qpbt27Fw8ODoUOHMn36dAwNDYmOjmb79u1oampibGzM8uXLVar32dvbs2vXLrZt28aWLVvo3LkzS5YsITs7W9mTfWM++ugjrKysSExM5MiRIxQWFqKjo8PAgQPZsmVLnR5XAwICWLVqFZ9++il+fn7MmzePTz/9lOjoaEJCQujYsSPGxsbs3buX6Ohozp8/r2wb7uXlxblz54iJiSEvLw8bGxucnZ2JiYkhMjKSqKgoqqur6dOnDxs2bMDd3V253+DgYHr37k1qairHjx+nXbt2WFpasn379no7yRKN69+/P8nJycTGxpKens4XX3xBeXk5ffr0ISgoSNmmHp69WV+/fj3x8fHKhN/f3x+FQsGHH35IVlZWk6rm+fv7U1VVRWpqKmfPnqVLly5YWFiwc+dOJk2aRFZWFr///e8BCAkJoU+fPiQlJZGeno6pqSmfffYZU6dOVTmW8PBwwsLC2LZtGzo6OvzmN78hIiKCc+fOsX//fu7evdvmO3JsK9e0xqxZs4bc3Fzi4uJwdHRUVsd/GY6OjoSHhxMREUFoaCgGBgbMmDGDvLw8lZ7zu3fvTmJiIhs3blSOajFhwgQUCgUhISHK9TQ1Ndm9ezeRkZGkpqZy7NgxfvWrX+Hl5cWCBQua9EBNvF7t27dn//79bNy4kcOHD/P06VMcHR3x9fWtU036x+zs7F74fipaLh0dHTZs2MDEiRNJSkriyJEjFBQUoK2tTd++fVm4cCFTp05V6eSuR48eHDx4kLCwMJKTkykuLubXv/41CxYsYNasWS/URv5lde7cmaioKDZt2kRUVBQaGhr06NGDTz75hOLiYkJCQrh06dJLNX+ytramW7duFBcXS+0k0eapVUs3q0IIIUSLV1VVxYMHD+rtEXvWrFlcu3atzlBZQgjR1lRVVeHg4MDIkSOV/fUI0VZJm30hhBDiF6C6uhp7e/s6I5ncvXuXb7755id3ACiEEK1Beno6BQUFTJ48+XWHIsRrJ9X4hRBCiF8AdXV13NzcSE5ORl1dHXNzcx48eMCBAwdQU1PD39//dYcohBCvTUxMDN9++y1nz57F3NwcS0vL1x2SEK+dJPtCCCHEL8Qnn3xC7969SUlJITU1FR0dHUaMGIG/v/8rG8JQCCF+Caqrqzlz5gwDBw6UjvmE+H/SZl8IIYQQQgghhGhlpM2+EEIIIYQQQgjRykiyL4QQQgghhBBCtDKS7AshhBBCCCGEEK2MJPtCCCGEEEIIIUQrI8m+EEII0YpIv7tCCCGEAEn2hRBCNLOgoCBMTEwa/XF0dHylMWzatKne/UZFRT1324cPHxIeHs6ECRMwNzfHxsaG6dOnc+rUqVca8/N8//33zJ07l//85z+NrpeTk4OJiQk5OTnNFJkQQgghXgcZek8IIUSz+te//kVhYaFy+s9//jOXL18mPDxcOU9LS4tBgwa9shhmzpxJZWUlgYGBKvMNDQ3p1q1bg9tdv36d2bNnU1VVxfTp0xkwYAClpaWkpqaSlpaGn58fAQEBryzuxhw6dIjly5dz6tQpjIyMGlzv0aNHXLt2jX79+tGhQ4dmjFAIIYQQzUnjdQcghBCibenZsyc9e/ZUThsYGKClpcWwYcOaLYYrV67g5eXVpH2Wl5cTGBiIpqYm8fHxdO7cWbnMycmJTp06ERERwZgxYxg8ePAriPrn0aFDh2b9rIUQQgjxekg1fiGEEC3Sd999x8yZM7G2tsbCwoIPPviAf/zjH8rlNdXRv/zyS7y9vTEzM8PZ2Zm4uLhGy7137x737t1jwIABTYonMzOT/Px8Fi5cqJLo1/D398fb25vKykrlvJs3bxIQEICtrS3Dhg1j2rRpnD9/Xrn83//+NyYmJhw6dEilrKCgIJWmDNOmTWPlypVERUXh4ODAkCFD8PT05OLFi8D/3uoDjBkzhqCgIAAcHR3505/+hK+vLxYWFqxevbreavz5+fnMnTsXCwsLLCws8PPz49atWyoxxcbGMnbsWIYMGcKoUaP4wx/+wKNHj5r0GQohhBCi+UiyL4QQosXJzs7Gy8uLqqoqgoODWbduHbdv38bT05Pr16+rrPvhhx8yaNAgIiIisLW1Ze3atcTGxjZY9uXLlwE4deoUo0ePZvDgwUycOJHMzMxGYzpz5gzq6urY29vXu7xz586sXr0aMzMzAK5du4aHhwe3bt1i1apVbNq0CTU1NXx9fcnNzW3KxwHA8ePHOXXqFKtWrWLz5s3cu3ePgIAAKisrcXBwYN68eQCEh4czf/585Xb79u3DxMSE7du34+7uXqfcGzdu4Onpyf3791m/fj3BwcHcunULLy8v7t+/D0BqaiohISF4e3sTHR2Nn58fKSkprFu3rsnHIYQQQojmIdX4hRBCtDihoaH06NGDXbt2oa6uDoCdnR3Ozs5s376drVu3Ktd1cnJi5cqVAIwaNYo7d+4QGRmJt7c3b7xR95n2lStXACgsLGTdunWUlZURFxfHBx98QFRUFKNGjao3poKCAvT19Wnfvv0LHUN4eDiamprs3bsXPT09ABwcHHBzc2Pjxo0cPHjwhT8PgIqKCqKjo5Xt7EtKSli2bBl5eXmYmpoqm0YMHDhQpc1+165dCQoKUn4WtTvmCw8PR1tbm5iYGGXZNjY2ODk5sWvXLpYtW0ZOTg4KhUL5mY4YMQJdXV0ePHjQpGMQQgghRPORZF8IIUSLUlpaynfffYefn58y0Qfo2LEjo0ePrvMGvvbbahcXF06dOsWNGzfo27dvnfJdXV0xMTFh1KhRygTYzs4Od3d3wsLCGkz21dTUVKroP09ubi6jR49WJvoAGhoauLq6EhERQUlJyQuXBdTpUK+mI8HHjx83ul3fvn3rfehRIzs7G2tra7S1tamoqACeteu3tLQkKysLgN/+9rckJibi4eGBi4sLDg4OTJgwATU1tSYdgxBCCCGajyT7QgghWpTi4mKqq6vp0qVLnWVdunShuLhYZV7Xrl1Vpmva0z98+LDe8hUKBQqFQmWepqYmtra2JCYmNhiXkZERmZmZlJSUNPh2//bt2xgaGgLwww8/NHgM1dXVTW7vrqOjozJdk8BXVVU1ul19MfxYUVERaWlppKWl1VlmYGAAwPjx46mqqiI+Pp7w8HC2bduGQqFg0aJFuLq6NuUwhBBCCNFMJNkXQgjRoujp6aGmpsa9e/fqLLt79y6dOnVSmVdUVKQyXdPOvL5O9AAyMjIoKyvDxcVFZf7Tp0/rlP1jdnZ2xMbGcvbsWcaOHVtneVFREc7Oznh4ePDHP/6RN998s8FjANDX11f+XrvGQGlpaYNx/Nz09PQYOXIk77//fp1lGhr/+5rg5uaGm5sbxcXFfPnll+zcuZMlS5ZgaWnZ6HCFQgghhHg9pIM+IYQQLYquri6mpqakpaWpJMHFxcVkZGQwfPhwlfXT09NVpo8dO4ZCoVAZ3u/H0tLSWL58OT/88INyXmlpKRkZGYwYMaLBuOzs7DA2NmbLli0UFhbWWb5582bKy8uZOHEiAFZWVpw+fVqlJkJlZSWpqakMGTIELS0tZbX877//XrlOeXk5ly5dajCOhjRWVb8xI0aM4Nq1awwcOJAhQ4YwZMgQTE1NiYmJ4eTJkwAEBgbi7+8PPHs4MG7cOObPn09lZSV37tx5qf0KIYQQ4tWSN/tCCCFanEWLFjFz5kxmzZqFj48P5eXlREVFUVZWpkw6a8TExKCtrc2wYcM4ceIEp0+fJjQ0tMGyZ82axfHjx5kzZw5z5syhsrKSnTt3UlpaSkBAQIPbaWhosGHDBmbMmMGkSZPw9fXFxMSEBw8ekJycTGZmJoGBgVhYWADPhuI7c+YM06dPZ86cOWhpaREXF8etW7fYtWsXAG+++Sbm5ubExcXRq1cv9PX1iY2N5cmTJ+jq6jbpM+vYsSMAJ0+e5K233qq3v4L6zJ8/H09PT+bOnYuXlxft2rUjMTGRL774grCwMOBZm/01a9YQEhLCW2+9xcOHDwkPD6d3795NHsJQCCGEEM1Dkn0hhBAtjo2NDXv27CEsLIyPPvoILS0tLC0tCQkJoX///irrrlixgsOHD7Njxw769OlDWFgYb7/9doNlGxsbExcXx9atW1mxYgVlZWVYWVkRHBzcYG2AGgMHDuTzzz9nz5497N+/n4KCAnR1dTE2NiYqKkplWL7+/fsTHx/P5s2bWbFiBWpqapiZmbF3714sLS2V661fv561a9fy8ccf06FDByZPnoy5uXmTe+u3trZm5MiRhIaGcu7cOaKiol5ouwEDBrBv3z62bNnC0qVLqa6uxtjYmIiICMaMGQOAp6cn5eXlJCQkEB8fj7a2NjY2NixZsgRNTc0mxSmEEEKI5qFWXV1d/bqDEEIIIZoqJyeH6dOns3fvXqytrV93OEIIIYQQLYq02RdCCCGEEEIIIVoZSfaFEEIIIYQQQohWRqrxCyGEEEIIIYQQrYy82RdCCCGEEEIIIVoZSfaFEEIIIYQQQohWRpJ9IYQQQgghhBCilZFkXwghhBBCCCGEaGUk2RdCCCGEEEIIIVoZSfaFEEIIIYQQQohWRpJ9IYQQQgghhBCilZFkXwghhBBCCCGEaGUk2RdCCCGEEEIIIVqZ/wPnn6dA+xCPagAAAABJRU5ErkJggg==",
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tWzbVrVtXv/32m27cuKFcuXKZ739OHMIvSaNGjdKAAQP01Vdf6auvvlLhwoX16quv6q233pK/v3+y9vU4iT+PV155xWpZwYIF5ezsbP6QIdF/h8hLUvHixSU9GCnwKE5OTurWrVuSyzp27Ki5c+dq69atatOmTZJ9smfPLicnp6cecv24Y7SxsVHJkiW1efNm3bx5M9mv38Py5Mlj1ZZ43iX3A4Qn7ffMmTOSpIULFz5yfoTEczHx+fE//PCD+vTpIwcHB/n6+qpmzZpq2rSp3NzcklXTk2r873srOc6ePauePXvq/PnzatCggcaNG2fxAUKWLFmSvJ1G+r+r79myZXva0jVkyBDZ2NhowYIF2rJli6QHvwNmzJihDh06mEdKAACQHIR9ANCDK92nT5/Wtm3bVKtWLYtl/72amSlTJt2/f1/S/wWI8uXL6/3333/k9vPly2fxfXKv+sXExFi1/fc+6cQaRo4caTE3wMP+e5/301x1bN68uVavXq01a9aoXbt2+vXXX+Xj42MxU72fn582btyonTt36u+//9auXbu0cOFC/fLLL+rcubN5oreUetLkeAkJCVYf0iQ1dDox1Kb0CmmuXLkkyWqkxn/5+/vr77//1sWLF1WoUKFH9uvTp4+yZ89uNadCUhJrf9KQ8MRz87+Seu7703rSeZP4OrVq1Upvvvlmkn0e/tkPGDBAbdu21ebNm7Vt2zbt3r1be/fu1ffff69Zs2apXLlyqV7jk+zfv1+9e/fWrVu31L59ew0bNsxqm+7u7lYfoCW6evWqcubMaTHHRXLZ29vr008/Vd++fXXq1Clly5ZNJUuW1KVLlxQXF/fIWwcAAEgKw/gBQNJ7770nGxsb/fjjj081TNrV1VXOzs66deuWqlWrZvVlMplkY2Pz1H/4J4b2xCulDzt37pzF9wULFpT04Erif/f/yiuvKDIyUlmyZHmq/T+sSpUqcnd319q1a7Vnzx5duXLF4qp+TEyMDh8+rCtXrqhmzZr69NNP9euvv2rDhg0qWLCgfv755yQnHXsaiSHn1KlTVssuXryo6OhoqwnT/vtzkv7v5/mo+/WlBzP+169fX4GBgVbLEvf/qA9VEiXeajFv3rxH9jly5Ig2bdqkAwcOyMXFxfyhQFLHaDKZdObMGbm4uJivGNvZ2Sk2Ntaq79MOV09NieeiyWSyOherVKmi27dvm2/DCAsL0/bt25U9e3a99957mjhxorZt26avv/5akZGRSf78n7d9+/apS5cuun37toYMGaKAgIAkPzzw9fXVrVu3zKMxEkVEROjUqVMWc3ckV1xcnFauXKkdO3YoR44cqlixojw8PGRjY2O+yl+pUqWUHRgA4KVE2AcASV5eXuratav27dunIUOGmO8fflhsbKxmzJihq1evmtvs7Oz0xhtv6OzZsxb3tUsPZnTv2bOnRo0a9dRXkl999VVlz55d8+fP1507d8ztN27csNpPvXr1ZGtrq++//95qaPGYMWPUt2/fZ3pkl42NjZo1a6ZDhw5pzpw5cnJyspg3IDw8XC1atND//vc/i/UKFSqkPHnyyMbG5pmvttatW1d2dnb68ccfLV4bk8mkiRMnSpLq169vsc6mTZssPiyJjY3VTz/9JEdHR9WrV++R+3rllVd04cIFzZ8/3+JDivv372vSpEmSZDERYFKaNGkiLy8vzZs3T7/++qvV8rCwMA0cOFCSzP8tU6aMChUqpKCgIJ0+fdqi/+LFi3Xp0iWLuvPmzatbt25Z3L4QExPzzM9iT5xz4GmGvSfy9vaWu7u7Vq1aZb69JNGiRYs0YMAALVu2TNKDpyV07tzZYv4EGxsb89X85MwpkZquXbumvn37Kjo6WmPHjlXnzp0f2Tdxzo7/PjZx9uzZiouLU7NmzZ56/w4ODpo8ebJGjBhh8SFOaGiofvrpJ3l5ealKlSpPvV0AwMuLYfwA8P8NHDjQHCi3bt2qN998UyVLlpStra1Onjyp9evXKywsTO7u7ho2bJh5vY8//lh79uzRkCFDtHPnTvn6+urKlStauHCh7OzsNGLEiKeuJXPmzBo5cqQ++ugjNWvWTC1btpTJZNKCBQvMk+IlKlq0qPr3769JkyapadOmeuedd5QtWzZt2rRJW7duVa1atR4bbpOjWbNmmjp1qjZu3KgmTZrIxcXFvCx//vx69913tXTpUnXt2lW1a9eWjY2N/v77bx04cEDt2rV77KPqkqNw4cIaMGCAvvnmGzVt2lTNmjUzP3pv9+7dqlWrltWkh7a2tmrdurXat28vFxcXrVy5UseOHdOwYcMeez+4u7u7+vbtq8mTJ6t58+Zq0aKFbGxsFBQUpODgYPXq1euJV25tbW01depUde/eXZ988omWLFmi1157TS4uLjp16pSWL1+uyMhIDRgwwPza2NnZ6X//+5969Oih9957T61bt1bBggV18OBBrVq1Su7u7vr444/N+2jatKn5UX1t27ZVQkKCli1b9sRbHp4k8VaFyZMnq1KlSk81g33iMfTs2VPNmzdXq1atVKRIEf3zzz9atmyZChcurD59+kh6MJrml19+0aeffqqDBw+qZMmSunnzphYtWiQHBwe1b9/+mY7jaU2ePFk3b96Ur6+vTCaT1Ydq0oNbevLkySM/Pz81a9ZMixYt0u3bt1W9enUdPnxYS5YsUa1atfTGG2+kqIZ+/fpp6NCh6tSpkxo1amR+3Obdu3f13XffpcqtGACAlwdhHwD+Pzs7Ow0cOFBvvfWWli9fru3bt2vNmjWKiYlR7ty5VbFiRdWrV0/16tWzuFLv5uamZcuWafr06frjjz8UFBSknDlzqlKlSurdu7fKlCmTonoaNmyonDlzaurUqZo2bZqcnJzUuHFjFSlSRF988YVF3z59+uiVV17RnDlz9MMPPyghIUGFChXSoEGD1L59+2e+SlqgQAFVq1ZNW7dutRjCn2jkyJEqUaKEVq5cqW+//Vbx8fEqXry4hg8f/siJ7J5Wjx49VLx4cc2ePVszZsyQ9GA4/meffabWrVtbjR6oV6+evL29FRgYqDt37qhUqVKaOnVqsoJY3759VaxYMf3888+aNGmSbG1t5eHhoW+//db8hIMnyZ8/vxYtWqSVK1cqKChIs2fP1s2bN5UjRw5Vr15dnTp1spodv0qVKlq8eLGmTZumZcuW6d69eypQoIC6dOmiXr16WUz69t577ykyMlK//PKLxo4dq9y5c+vtt99WzZo1n+ln3qtXL505c0YzZ87UoUOHnvpxddWqVdPixYs1ffp0LV++XHfv3lW+fPnUpk0b9ezZ0zxRYO7cuTV//nxNmzZNGzdu1C+//CJnZ2dVqFBBEyZMsHhUZFr4888/JUmHDh3SoUOHkuwza9Ysc/1ffvmlChcurGXLlmnTpk3Kly+fevfurZ49e6Y4lDdr1kxOTk766aefNG7cOGXJkkWVK1dW3759zZNLAgCQXDamZ70EAADACyQkJER16tRR48aNNX78+PQuBwAAIF1wzz4AAAAAAAZD2AcAAAAAwGAI+wAAAAAAGAz37AMAAAAAYDBc2QcAAAAAwGAI+wAAAAAAGIz9k7u83MLDw7V161YVLFhQmTJlSu9yAAAAABhUTEyMQkJCVL16dbm6uqZ3OcjgCPtPsHXrVn3yySfpXQYAAACAl8S4cePUpEmT9C4DGRxh/wkKFiwo6cEbrkSJEulcDQAAAACjOn36tD755BNzBgGeBWH/CRKH7pcoUUJeXl7pXA0AAAAAo+P2YaQGJugDAAAAAMBgCPsAAAAAABgMYR8AAAAAAIMh7AMAAAAAYDCEfQAAAAAADIbZ+AEAAAAggzKZTOYvGJeNjY35K7kI+wAAAACQwURFRenGjRu6d+8eQf8lYWNjIxcXF+XKlUuZM2d+Yn/CPgAAAABkIFFRUbpw4YJy5MihokWLysHBIb1LQhqIi4vT7du3deHCBRUuXPiJgZ+wDwAAAAAZyI0bN5QjRw65ubmldylIQ3Z2dnJycpL04BwoWLDgY/szQR8AAAAAZBAmk0n37t1T9uzZ07sUpJPs2bMn6/YNwj4AAAAAZBCJk/ExdP/l5eDgkKxJGQn7AAAAAJBBMBkfEhH2AQAAAAB4yRD2AQAAAAAwGGbjBwAAAACDiI6+r9jY+PQuw4Kjo52cnFIePYcMGaIVK1ZIktavX68iRYok2e/zzz/XggULlDt3bm3bti3F+zOKFy7s//DDD/r555+TfHGio6P13Xffac2aNQoPD1epUqU0YMAAVa1a1aJffHy8AgMDtWTJEl29elVFixZVr1691LBhw7Q6DAAAAABIU9HR9+Xu/r3Cw6PTuxQLrq5OunSp1zMF/kQbN25U165drdpNJpM2bNjwzNs3khdqGP+WLVs0efLkRy7/6KOPFBgYqDp16mjw4MGKi4tTt27dtHfvXot+X3/9tcaPHy8/Pz8NGzZMrq6u+vDDD7V69ernfQgAAAAAkC5iY+NfuKAvSeHh0aky2qBQoULauHFjksv279+vsLAwubq6PvN+jOKFCPsmk0nz5s1T3759FRcXl2SfHTt2aOPGjRo0aJACAgLUpk0bzZs3T/nz59fo0aPN/c6dO6e5c+eqffv2GjNmjFq1aqWffvpJ5cuX15gxYxQbG5tWhwUAAAAASCV169bVwYMHdf36datlGzZsUNGiRfXKK6+kQ2Uvphci7Lds2VJffvmlKleuLC8vryT7BAUFycHBQS1atDC3OTs7q3nz5goODta5c+ckSWvWrFFCQoLatm1r7mdnZ6e2bdsqLCxMe/bsea7HAgAAAABIfXXr1lVCQoL++OMPq2Xr16/Xm2++adW+e/du9erVS1WqVJGXl5eqVaumgQMH6vLly+Y+u3btkqenp7Zs2aLRo0erevXq8vHxUcuWLbVr167nekzP0wsR9i9fvqwvvvhCM2fOVJYsWZLsc+TIERUrVkzOzs4W7YkfDhw5csT8XxcXFxUrVuyx/QAAAAAAGYeXl5fc3d2thvIHBwfr0qVLVmF/x44d6tSpk27cuKE+ffpo+PDhql69utauXauePXtabf/zzz/X3r171aNHD/Xt21dnz55Vjx49dPPmzed6XM/LCzFB3x9//CFHR8fH9rl27Zp8fHys2vPmzStJ5k9mrl27Jjc3tyf2AwAAAABkLHXr1tWCBQt07949ubi4SHpwVb9gwYJWo8RnzZqlnDlzas6cOcqcObMkqVWrVrp//77WrFljlR2zZMmiRYsWycHBQZKUJ08eDR06VBs2bLAYYZ5RvBBX9p8U9CUpIiLC/AI9zMnJSZIUFRVl7pfY9rh+AAAAAICMpW7duoqNjdVff/1lblu/fr3q1atn1Xf69OlavXq1RY68d++eMmXKJEmKjIy06F+vXj1z0JekMmXKSJLCwsJS9RjSygtxZT812NjYJPn/j+uXVmJj78vR0TA/ajyF9H7t03v/SF/p/fqn9/6RvtL79U/v/SN9pffrn977R/ri9X++/Pz8lDt3bm3atEkNGzbUqVOndObMGY0ZM8aqr52dna5cuaLvvvtOJ0+eVEhIiC5fviyTySRJSkhIsOj/35n8E4P/f/tlFBnmLHR2dlZ0tPVjJBLbEodwJLdfWnJ0tJe399e6ezcmzfeN9JM1ayYdOTI4XWvg3Ht5cf4hPXH+IT1x/iE9vQjnn9HZ2tqqTp06WrNmjWJjY7V+/Xrlz58/yVu+Z8+era+++kqFCxeWv7+/atWqJW9vb/3999+aMWNGkts2kgwT9gsUKJDk8InQ0FBJMt9rUaBAgSRn3P9vv7R2924Mv/CRLjj3kJ44/5CeOP+Qnjj/gOenbt26WrRokXbt2qX169erbt26ViO4Y2JiNHHiRJUvX15z5syxuHX8119/TeuS00WG+ejCy8tLp06dsrpqHxwcLEkqW7asud/t27d18eLFx/YDAAAAAGQ8VapUUbZs2TR37lwdO3YsyUfuRUdHKyoqSkWKFLEI+pcvX9b69eslSfHx8WlWc3rIMGG/fv36io2N1cKFC81tkZGRWrp0qXx8fFS4cGFJ0ptvvikbGxvNmTPH3C8+Pl7z58+Xm5ubKlasmOa1AwAAAABSh4ODg15//XVt2bJFefLkkZ+fn1Wf7Nmzq3z58goKCtKoUaO0ZMkSffPNN3rnnXcsJnc3sgwzjL9GjRqqUaOGxo0bpytXrqhYsWJavHixrl69ajEZQ4kSJdSyZUvNmTNHERERKleunNauXasDBw5owoQJFrMrAgAAAAAynnr16unXX39V3bp1H3mv/aRJkzRmzBitXr1a0dHRypcvn5o3b6569eqpRYsW2r59u8qXL5/GlaedDBP2pQcv1oQJExQUFKSoqCh5enrqp59+srpaP3z4cOXOnVvLli3TmjVrVKxYMU2ePDnJ4R0AAAAAYASOjnZydXVSeLj1hOXpydXVSY6Odilef8yYMVaz7detW1cnTpyw6jt37lzz/7u5uWnChAlJbvPhdStXrpzktkqUKJFke0bxwoX9h1+c/8qSJYsCAgIUEBDw2G3Y29urf//+6t+/f2qXBwAAAAAvJCcne1261EuxsS/WveiOjnZycnrhoqfh8RMHAAAAAINwcrInWENSBpqgDwAAAAAAJA9hHwAAAAAAgyHsAwAAAABgMIR9AAAAAAAMhrAPAAAAAIDBEPYBAAAAADAYwj4AAAAAAAZD2AcAAAAAwGAI+wAAAAAAGAxhHwAAAAAAgyHsAwAAAIBBxN43KSo24YX6ir1vSvHxfPjhh/L09NSlS5esln3//ffy9PRUjRo1kly3a9eu8vb2VnR0dIr3n5HZp3cBAAAAAIBnF3vfpAFzrisiJuXh+nnIkslGEzvklqO9zVOvW6lSJa1du1aHDh2Su7u7xbLt27fLwcFBoaGhOn36tEqUKGFelpCQoIMHD6pcuXJycnJ65mPIiLiyDwAAAAAGEJ9geuGCviRFxJgUn5CyuipVqiRJOnjwoEV7dHS0Dhw4oMaNG0t6EPwf9u+//+revXuqUqVKivZrBIR9AAAAAMALqUSJEsqTJ48OHTpk0b5v3z7Fxsbq3Xfflbu7u1XY379/vyQR9gEAAAAAeBH5+/vr6NGjio2NNbft2LFDzs7O8vX1VeXKlbV7927Fx8ebl+/fv1+ZM2eWr6+vpAcjA7p16yY/Pz/5+vqqVatW2rhxo8V+pkyZojJlyujcuXPq0aOHypcvrypVqmjMmDG6f/++1q5dq0aNGsnX11dNmzbVjh07LNa/ceOGRo0apbp168rb21vly5dXy5YtrfZTu3ZtDRkyROvWrdPbb7+tsmXLqlatWvruu++UkJCQaj83wj4AAAAA4IVVqVIlxcbG6vjx4+a27du3y9/fXw4ODqpataru3bunf/75x7x8//79qlChghwcHLRlyxa1bdtWZ86cUffu3TVgwABFRUWpb9++mjdvnsW+TCaT2rdvL1dXVw0ePFilS5fWrFmz1KtXL3355Zd666239OGHHyo0NFT9+vVTeHi4JCkmJkZt27bVqlWr9NZbb2nEiBHq3LmzLl68qH79+unIkSMW+9m1a5cCAgL0+uuv69NPP5Wbm5umTJmiX375JdV+bkzQBwAAAAB4YT18376Pj49u3bqlY8eOadCgQZL+b6j+9u3bVa5cOYWGhurSpUtq1aqV4uPjNWLECOXIkUPLly9Xjhw5JElt2rRR69atNXbsWNWvX1+5c+eW9GBivzp16mjkyJGSpIYNG6pq1araunWrlixZorJly0qSnJ2dNXz4cB08eFC1a9fWH3/8obNnz2rKlCmqV6+eufby5curW7du2rp1q7y9vc3tly9f1uLFi80jDxo3bqzq1asrKChIbdu2TZWfG1f2AQAAAAAvrP/et79r1y4lJCSoatWqkqS8efOqRIkS2rVrlyTL+/WDg4N15coVtW7d2hz0JSlTpkzq2rWrYmJi9Ndff1ns78033zT/f7Zs2ZQrVy4VKFDAHPQlqVChQpKksLAwSVKDBg20Y8cO1alTx9wnPj7ePCw/MjLSYh/u7u7moC9JWbJkUZEiRXT9+vUU/ISSxpV9AAAAAMALzd/f3zwj//bt25UzZ055enqal1etWlXLli1TXFyc9u/fr6xZs8rLy0u///67JKl48eJW20x8VN+lS5cs2nPlymXxvb29vVWbre2D6+YP32NvZ2enWbNmaf/+/bp48aLOnz+vmJgYq36S5OrqalWPo6Mj9+wDAAAAAF4elSpVUkhIiMLDw7Vz505VqVJFNjY25uVVq1ZVVFSUjh49qgMHDsjf3192dnYymR488i/xvw9LDNYODg4W7XZ2dlZ9H95XUs6dO6f69etr6tSpkqQ33nhDY8eO1ZIlS5Lsn/hhwfPElX0AAAAAwAst8b79rVu36ty5c+rSpYvVcltbWx08eFDHjh3TJ598IkkqWLCgJOnMmTNW20xsy5cv3zPXN2PGDN28eVO//vqrPDw8zO2JtxSkB67sAwAAAABeaIn37S9YsECSzPfrJ8qWLZvKlCmjX3/9VXFxceZJ+7y8vOTm5qaFCxfq1q1b5v6xsbEKDAyUg4ODatSo8cz13bp1S46OjipcuLC5LSEhQXPmzJEki8cCphWu7AMAAAAAXnj+/v5au3at3N3dLUJ1oqpVq+rHH39Urly5zFfX7e3tNWLECPXv31/NmjVTixYt5OTkpFWrVuno0aMaMmSI1f34KfH666/rjz/+UNeuXdWoUSPFxMRo7dq1Onr0qGxtbRUREfHM+3haXNkHAAAAALzwEofyJ161/6/Eq/2VKlWyuMe+Tp06mjNnjooUKaIZM2Zo0qRJypIli6ZNm6bOnTunSm0tWrTQJ598otDQUI0ePVqzZs1Srly5tHjxYpUpU0Y7duxIlf08Da7sAwAAAIAB2NnaKEsmG0XEWE9Gl56yZLKRne3jJ7hLjtatW6t169aPXP7qq6/qxIkTSS6rWLGiZs2a9djt9+/fX/3797dq/+OPP6zaKleubLEvGxsbdevWTd26dbPqu2zZsiduT5IWL1782PqeFmEfAAAAAAzA0d5GEzvkVnzCixX27Wxt5Gj/7GEfT4ewDwAAAAAG8SBUE6zBPfsAAAAAABgOYR8AAAAAAIMh7AMAAAAAYDCEfQAAAAAADIawDwAAAACAwRD2AQAAACCDsLFhpn088KRzgbAPAAAAABmEjY2N7O3tFRkZmd6lIJ1ERkbK3t7+iWHfPo3qAQAAAAA8IxsbG+XKlUuXL19Wrly5lDVrVtnbE+teBvfv39fdu3d148YN5cmTh7APAAAAAEbi6uoqJycnhYaG6saNG0pISEjvkpAGbG1tlSlTJhUqVEjOzs5P7E/YBwAAAIAMxtnZWUWLFpXJZDJ/wbhsbGzMX8lF2AcAAACADOppAyBeHkzQBwAAAACAwRD2AQAAAAAwGMI+AAAAAAAGQ9gHAAAAAMBgCPsAAAAAABgMYR8AAAAAAIMh7AMAAAAAYDCEfQAAAAAADIawDwAAAACAwRD2AQAAAAAwGMI+AAAAAAAGQ9gHAAAAAMBgCPsAAAAAABgMYR8AAAAAAIMh7AMAAAAAYDCEfQAAAAAADIawDwAAAACAwRD2AQAAAAAwGMI+AAAAAAAGQ9gHAAAAAMBgCPsAAAAAABgMYR8AAAAAAIMh7AMAAAAAYDCEfQAAAAAADIawDwAAAACAwRD2AQAAAAAwGMI+AAAAAAAGQ9gHAAAAAMBgCPsAAAAAABgMYR8AAAAAAIMh7AMAAAAAYDCEfQAAAAAADIawDwAAAACAwRD2AQAAAAAwGMI+AAAAAAAGQ9gHAAAAAMBgCPsAAAAAABgMYR8AAAAAAIMh7AMAAAAAYDCEfQAAAAAADIawDwAAAACAwRD2AQAAAAAwGMI+AAAAAAAGQ9gHAAAAAMBgCPsAAAAAABgMYR8AAAAAAIMh7AMAAAAAYDAZLuwfO3ZM3bp1U/ny5VWuXDl16tRJ//zzj0Wf6OhojR8/XrVq1ZKvr69atmypHTt2pFPFAAAAAACkrQwV9s+dO6e2bdvqn3/+UY8ePfT+++/r7Nmzat++vU6cOGHu99FHHykwMFB16tTR4MGDFRcXp27dumnv3r3pWD0AAAAAAGnDPr0LeBqzZ89WRESEFi5cqPLly0uS6tSpo7feekvTpk3TpEmTtGPHDm3cuFFDhw5Vp06dJElNmzZVkyZNNHr0aC1fvjwdjwAAAAAAgOcvQ13Zv3jxopydnc1BX5KKFCmiIkWKmK/sBwUFycHBQS1atDD3cXZ2VvPmzRUcHKxz586lddkAAAAAAKSpDBX2ixYtqsjISF29etXcFh0drdDQUOXNm1eSdOTIERUrVkzOzs4W63p5eZmXAwAAAABgZBkq7Hfv3l3u7u768MMPFRwcrNOnT2vQoEGKiIhQ9+7dJUnXrl1Tvnz5rNZN/DDg8uXLaVozAAAAAABpLUPds58vXz717t1bn3/+uZo1a2Zu//zzz1WjRg1JUkREhDJnzmy1rpOTkyQpKioqbYoFAAAAACCdZKiwP2nSJE2bNk2+vr5q06aN7O3ttWLFCo0cOVLx8fFq27btE7dhY2OTBpUCAAAAAJB+MkzYv3PnjmbOnCkPDw/NmzdPjo6OkqRGjRqpW7du+uqrr1SnTh05OzsrOjraav3ENhcXlzStGwAAAACAtJZh7tk/d+6cYmNj1bBhQ3PQT9SsWTPFxcVp//79KlCggMLCwqzWDw0NlSS5ubmlSb0AAAAAAKSXDBP2M2XKJEmKj4+3WmYymSRJCQkJ8vLy0qlTp6yu7gcHB0uSypYt+5wrBQAAAAAgfWWYsF+yZEm5ublp5cqVioiIMLcnJCRo8eLFsre3V8WKFVW/fn3FxsZq4cKF5j6RkZFaunSpfHx8VLhw4fQoHwAAAACANJNh7tm3tbXViBEj1L9/f7377rtq0aKF7O3ttXbtWh04cED9+/dXvnz5lC9fPtWoUUPjxo3TlStXVKxYMS1evFhXr17VmDFj0vswAAAAAAB47jJM2JekOnXq6Oeff9bUqVM1ZcoU3b9/XyVLltTYsWP19ttvm/tNmjRJEyZMUFBQkKKiouTp6amffvpJFStWTMfqAQAAAABIGxkq7EuSv7+/Zs+e/dg+WbJkUUBAgAICAtKmKAAAAAAAXiAZ5p59AAAAAACQPIR9AAAAAAAMhrAPAAAAAIDBEPYBAAAAADAYwj4AAAAAAAZD2AcAAAAAwGAI+wAAAAAAGAxhHwAAAAAAgyHsAwAAAABgMIR9AAAAAAAMhrAPAAAAAIDBEPYBAAAAADAYwj4AAAAAAAZD2AcAAAAAwGAI+wAAAAAAGAxhHwAAAAAAgyHsAwAAAABgMIR9AAAAAAAMhrAPAAAAAIDBEPYBAAAAADAYwj4AAAAAAAZD2AcAAAAAwGAI+wAAAAAAGAxhHwAAAAAAgyHsAwAAAABgMIR9AAAAAAAMhrAPAAAAAIDBEPYBAAAAADAYwj4AAAAAAAZD2AcAAAAAwGAI+wAAAAAAGAxhHwAAAAAAgyHsAwAAAABgMIR9AAAAAAAMhrAPAAAAAIDBEPYBAAAAADAYwj4AAAAAAAZD2AcAAAAAwGAI+wAAAAAAGAxhHwAAAAAAgyHsAwAAAABgMIR9AAAAAAAMhrAPAAAAAIDBEPYBAAAAADAYwj4AAAAAAAZD2AcAAAAAwGAI+wAAAAAAGAxhHwAAAAAAgyHsAwAAAABgMIR9AAAAAAAMhrAPAAAAAIDBEPYBAAAAADAYwj4AAAAAAAZD2AcAAAAAwGAI+wAAAAAAGAxhHwAAAAAAgyHsAwAAAABgMIR9AAAAAAAMhrAPAAAAAIDBEPYBAAAAADAYwj4AAAAAAAZD2AcAAAAAwGAI+wAAAAAAGAxhHwAAAAAAgyHsAwAAAABgMIR9AAAAAAAMhrAPAAAAAIDBEPYBAAAAADAYwj4AAAAAAAZD2AcAAAAAwGAI+wAAAAAAGAxhHwAAAAAAgyHsAwAAAABgMIR9AAAAAAAMhrAPAAAAAIDBEPYBAAAAADAYwj4AAAAAAAZD2AcAAAAAwGAI+wAAAAAAGAxhHwAAAAAAgyHsAwAAAABgMIR9AAAAAAAMhrAPAAAAAIDBEPYBAAAAADAYwj4AAAAAAAaT4cJ+dHS0JkyYoNq1a8vX11eNGzfWihUrrPqMHz9etWrVkq+vr1q2bKkdO3akU8UAAAAAAKStDBX2ExIS1KdPH/3444+qXbu2Bg8erJw5c2rIkCFauHChud9HH32kwMBA1alTR4MHD1ZcXJy6deumvXv3pmP1AAAAAACkjQwV9leuXKlt27bp008/VUBAgNq0aaPZs2erTJky+u6772QymbRjxw5t3LhRgwYNMveZN2+e8ufPr9GjR6f3IQAAAAAA8NxlqLC/bNkyFS5cWK1btza32draasCAAWrVqpUiIyMVFBQkBwcHtWjRwtzH2dlZzZs3V3BwsM6dO5cOlQMAAAAAkHYyTNiPi4vToUOHVLVqVdnaPig7IiJCJpNJr732mvr166csWbLoyJEjKlasmJydnS3W9/LykiQdOXIkzWsHAAAAACAtZZiwHxISori4OLm7u2v27NmqWbOm/Pz8VKVKFU2fPl0mk0mSdO3aNeXLl89q/bx580qSLl++nKZ1AwAAAACQ1uyfZeXbt29r7969Cg0N1Ztvvqlbt26pWLFisrGxSa36zO7evStJWr58uW7fvq3evXsrb968WrVqlSZOnKioqCgNHDhQERERypw5s9X6Tk5OkqSoqKhUrw0AAAAAgBdJisP+9OnTNWPGDEVHR8vGxkY+Pj6aOHGibt68qcDAQGXLli0161RsbKwk6eLFi1q+fLlKlSolSWrQoIHat2+vwMBAdejQ4YnbeR4fRAAAAAAA8CJJ0TD+efPmacqUKercubMWL15sHkLfrl07Xbx4UZMmTUrVIiWZr9b7+PiYg36iZs2aKS4uTvv27ZOzs7Oio6Ot1k9sc3FxSfXaAAAAAAB4kaQo7M+dO1c9evTQBx98YJ74TpJee+01DRgwQH/88UeqFZgo8T58V1dXq2WJbRERESpQoIDCwsKs+oSGhkqS3NzcUr02AAAAAABeJCkK+5cvX1alSpWSXFa8eHFdv379mYpKSq5cuZQvXz6dPn3aallISIgkKX/+/PLy8tKpU6esru4HBwdLksqWLZvqtQEAAAAA8CJJUdjPnz+/Dhw4kOSyI0eOKH/+/M9U1KM0btxY586d0/r1681tsbGxWrBggVxdXVWxYkXVr19fsbGxWrhwoblPZGSkli5dKh8fHxUuXPi51AYAAAAAwIsiRRP0NW/eXFOmTJGTk5Nef/11SQ8C9e+//64ZM2aoc+fOqVmjWa9evbRp0yZ9/PHHatu2rdzd3bVy5UqdPn1a33zzjRwcHFSjRg3VqFFD48aN05UrV1SsWDEtXrxYV69e1ZgxY55LXQAAAAAAvEhSFPa7d++ukJAQjR8/XuPHj5ck80z4jRs3Vs+ePVOvwoe4uLhowYIFmjRpkn799VfdvXtXHh4emj59umrVqmXuN2nSJE2YMEFBQUGKioqSp6enfvrpJ1WsWPG51AUAAAAAwIskRWHfxsZGX3zxhTp37qydO3fq9u3bypo1q/z9/eXh4ZHaNVrImTOnRo4cqZEjRz6yT5YsWRQQEKCAgIDnWgsAAAAAAC+iFIX9RMWKFVOxYsVSqxYAAAAAAJAKUhT227dvLxsbmySX2draytnZWUWKFNF7772n4sWLP1OBAAAAAADg6aRoNv5ChQrp4MGD5hn5c+fOLRsbGx06dEh79uxReHi4Vq9erXfffVdHjx5N1YIBAAAAAMDjpejKfp48eVSgQAEFBgaqQIEC5vbQ0FD16NFDNWvWVM+ePdWvXz9NnDhRP/zwQ6oVDAAAAAAAHi9FV/aXLVumDz74wCLoS1LevHnVu3dvLViwQHZ2dmrZsqUOHTqUKoUCAAAAAIDkSVHYj4qKkoODQ5LLbGxsFBERIUlydnZWbGxsyqsDAAAAAABPLUVh38/PT5MmTdL169ct2m/cuKGpU6eqfPnykqTdu3ercOHCz14lAAAAAABIthTdsz906FC1bdtWb7zxhsqXLy9XV1fduHFDBw8eVJYsWfTtt9/qr7/+0tSpUzVy5MhULhkAAAAAADxOiq7sFy9eXGvXrlXnzp0VExOj4OBgSVL37t3122+/qUSJEsqRI4cmTJigli1bpmrBAAAAAADg8VJ0ZV+ScubMqQ8++OCRy318fOTj45PSzQMAAAAAgBRKcdg/fPiwdu3apdjYWJlMJkmSyWRSZGSk9u3bp8WLF6dakQAAAAAAIPlSFPbnz5+v//3vf+aQ/zBbW1tVr179mQsDAAAAAAApk6J79ufNm6eaNWtq165d6tKli1q0aKGDBw9q0qRJypQpk5o0aZLadQIAAAAAgGRKUdgPCQlRmzZtlD17dnl7e2vfvn1ycnLSm2++qR49emjOnDmpXScAAAAAAEimFIV9BwcHOTk5SZKKFCmi8+fPKy4uTpJUoUIFnTt3LtUKBAAAAAAATydFYb906dL6888/JUnFihVTQkKCDh06JEm6evVq6lUHAAAAAACeWoom6OvcubP69eunO3fuaPTo0apTp44GDRqkevXqKSgoSBUqVEjtOgEAAAAAQDKl6Mr+G2+8oe+//14lSpSQJH3xxRcqWrSoFi5cqOLFi2v48OGpWiQAAAAAAEi+FF3Zl6TXX39dr7/+uiQpZ86cCgwMNC9jKD8AAAAAAOknxffsHz58OMlle/fuVYMGDZ6pKAAAAAAAkHLJvrIfGBioyMhISZLJZNKSJUv0119/WfU7cOCAHB0dU69CAAAAAADwVJId9mNiYvTdd99JkmxsbLRkyRKrPra2tsqaNat69+6dehUCAAAAAICnkuyw37t3b3OIL1WqlBYvXiwfH5/nVhgAAAAAAEiZFE3Qd/z48dSuAwAAAAAApJIUz8a/bds2/fnnn4qKilJCQoLFMhsbG40ePfqZiwMAAAAAAE8vRWE/MDBQY8eOVaZMmeTq6iobGxuL5f/9HgAAAAAApJ0Uhf158+apcePGGjVqFDPvAwAAAADwgrFNyUrXr19X8+bNCfoAAAAAALyAUhT2y5Qpo5MnT6Z2LQAAAAAAIBWkaBj/sGHDNGDAADk7O8vX11eZM2e26lOgQIFnLg4AAAAAADy9FIX91q1bKyEhQcOGDXvkZHzHjh17psIAAAAAAEDKpCjs/+9//0vtOgAAAAAAQCpJUdh/5513UrsOAAAAAACQSlIU9iUpNjZWS5cu1fbt2xUWFqbRo0dr9+7d8vLyko+PT2rWCAAAAAAAnkKKZuMPDw/Xu+++q1GjRun8+fM6fPiwoqOjtXnzZrVv314HDhxI7ToBAAAAAEAypSjsjx07VhEREVq7dq1WrFghk8kkSZo8ebLKli2ryZMnp2qRAAAAAAAg+VIU9v/880998MEHKlKkiMVs/JkyZVKXLl0UHBycagUCAAAAAICnk6KwHxMToxw5ciS5zM7OTnFxcc9SEwAAAAAAeAYpCvtly5bVggULklwWFBQkb2/vZyoKAAAAAACkXIpm4//ggw/UqVMnvf3223rttddkY2Oj1atXa8qUKdq6datmzpyZ2nUCAAAAAIBkStGV/YoVK2rWrFnKnDmzZs6cKZPJpNmzZyssLEwzZsxQlSpVUrtOAAAAAACQTCm6si9J/v7+WrhwoaKjo3X79m25uLgoS5YsqVkbAAAAAABIgRRd2ZekH374QT169JCTk5Pc3Nx05MgRVa9eXfPmzUvN+gAAAAAAwFNKUdgPDAzUxIkTVbRoUXNb4cKFVb9+fY0ZM0ZLlixJrfoAAAAAAMBTStEw/oULF2rAgAHq0aOHuS1//vwKCAhQ7ty5NXv2bL333nupViQAAAAAAEi+FF3Zv3btmsqWLZvkMl9fX4WEhDxTUQAAAAAAIOVSFPbd3d21Y8eOJJft2bNH+fLle6aiAAAAAABAyqVoGH+LFi00btw4xcXF6Y033lCuXLkUHh6uP//8U7NmzdJHH32U2nUCAAAAAIBkSlHY79Spk65du6a5c+dq9uzZ5nY7Ozt17NhRnTt3Tq36AAAAAADAU0pR2L97964GDx6sPn366ODBg7p165ayZcsmHx8f5cyZM7VrBAAAAAAATyFFYb9hw4YaOnSoGjZsqBo1aqR2TQAAAAAA4BmkaIK+2NhYruADAAAAAPCCStGV/Q4dOmjixIlycnJSqVKllDlz5tSuCwAAAAAApFCKwv6qVat0+fJltWnTJsnlNjY2Onr06DMVBgAAAAAAUiZFYb9JkyapXQcAAAAAAEglKQr7/fr1S+06AAAAAABAKklR2E+0ZcsWbd++XWFhYfrwww917NgxeXl5yd3dPbXqAwAAAAAATylFYT8qKkp9+/bV9u3b5eLiooiICHXt2lW//PKLjh49qnnz5qlkyZKpXSsAAAAAAEiGFD1679tvv1VwcLBmz56tnTt3ymQySZK+/vprubm5adKkSalaJAAAAAAASL4Uhf1169Zp4MCBqlKlimxsbMztefPmVe/evbVv375UKxAAAAAAADydFIX9O3fuPPK+/OzZsysyMvKZigIAAAAAACmXorBfsmRJBQUFJbnsjz/+4H59AAAAAADSUYom6Ovdu7f69eunW7duqVatWrKxsdGePXu0fPlyLVy4UN98801q1wkAAAAAAJIpRWH/jTfe0Lhx4/TNN99oy5YtkqQxY8YoV65cGjlypOrXr5+qRQIAAAAAgOR76rB/+PBhXbp0ScWLF9fmzZt15swZ3bp1S9myZVPx4sVla5uiOwMAAAAAAEAqSXbYv3Pnjnr27KmDBw/KZDLJxsZG5cuX1zfffKPixYs/zxoBAAAAAMBTSPZl+IkTJ+ro0aPq37+/fvjhBw0ePFhnzpzRZ5999jzrAwAAAAAATynZV/b//PNPDRw4UB07dpQk1axZU25ubvr4448VGRkpZ2fn51YkAAAAAABIvmRf2Q8LC5OXl5dFW+XKlRUfH68rV66kemEAAAAAACBlkh3279+/L0dHR4u27NmzS5JiYmJStyoAAAAAAJBiqTJ1vslkSo3NAAAAAACAVJAqYd/GxiY1NgMAAAAAAFJBsifok6SRI0fKxcXF/H3iFf3hw4crS5Ys5nYbGxv9/PPPqVQiAAAAAAB4GskO+/7+/pKsh+wn1c6wfgAAAAAA0k+yw/7cuXOfZx0AAAAAACCVpMo9+wAAAAAA4MVB2AcAAAAAwGAI+wAAAAAAGAxhHwAAAAAAgyHsAwAAAABgMIR9AAAAAAAMhrAPAAAAAIDBEPYBAAAAADAYwj4AAAAAAAZD2AcAAAAAwGAI+wAAAAAAGEyGDfuXLl2Sn5+fhgwZYtEeHR2t8ePHq1atWvL19VXLli21Y8eOdKoSAAAAAIC0lyHDvslk0rBhwxQREWG17KOPPlJgYKDq1KmjwYMHKy4uTt26ddPevXvToVIAAAAAANJehgz78+fP1759+6zad+zYoY0bN2rQoEEKCAhQmzZtNG/ePOXPn1+jR49Oh0oBAAAAAEh7GS7sX7hwQd9884369etntSwoKEgODg5q0aKFuc3Z2VnNmzdXcHCwzp07l4aVAgAAAACQPjJU2E9ISNCQIUPk6empjh07Wi0/cuSIihUrJmdnZ4t2Ly8v83IAAAAAAIzOPr0LeBo///yzjhw5opUrV8rW1vpzimvXrsnHx8eqPW/evJKky5cvP/caAQAAAABIbxnmyv6ZM2c0ceJEffDBBypevHiSfSIiIpQ5c2ardicnJ0lSVFTUc60RAAAAAIAXQYYI+/Hx8Ro6dKhKly6tzp07p3g7NjY2qVgVAAAAAAAvpgwxjD8wMFBHjhzRnDlzdOvWLUlSXFycJCk2Nlbh4eFycXGRs7OzoqOjrdZPbHNxcUmzmgEAAAAASC8ZIuz/9ddfun//vtq0aWO1bM2aNVqzZo2++uorFShQQGFhYVZ9QkNDJUlubm7PvVYAAAAAANJbhgj7gwcP1p07dyza4uLi1KNHD1WvXl1du3bVK6+8on379unXX39VdHS0+T59SQoODpYklS1bNk3rBgAAAAAgPWSIsO/t7W3VFhMTI0nKkyePqlWrJkmqX7++li5dqoULF6pTp06SpMjISC1dulQ+Pj4qXLhwmtUMAAAAAEB6yRBhP7lq1KihGjVqaNy4cbpy5YqKFSumxYsX6+rVqxozZkx6lwcAAAAAQJowVNiXpEmTJmnChAkKCgpSVFSUPD099dNPP6lixYrpXRoAAAAAAGkiw4b9TJky6cSJE1btWbJkUUBAgAICAtKhKgAAAAAA0p9tehcAAAAAAABSF2EfAAAAAACDIewDAAAAAGAwhH0AAAAAAAyGsA8AAAAAgMEQ9gEAAAAAMBjCPgAAAAAABkPYBwAAAADAYAj7AAAAAAAYDGEfAAAAAACDIewDAAAAAGAwhH0AAAAAAAyGsA8AAAAAgMEQ9gEAAAAAMBjCPgAAAAAABkPYBwAAAADAYAj7AAAAAAAYDGEfAAAAAACDIewDAAAAAGAwhH0AAAAAAAyGsA8AAAAAgMEQ9gEAAAAAMBjCPgAAAAAABkPYBwAAAADAYAj7AAAAAAAYDGEfAAAAAACDIewDAAAAAGAwhH0AAAAAAAyGsA8AAAAAgMEQ9gEAAAAAMBjCPgAAAAAABkPYBwAAAADAYAj7AAAAAAAYDGEfAAAAAACDIewDAAAAAGAwhH0AAAAAAAyGsA8AAAAAgMEQ9gEAAAAAMBjCPgAAAAAABkPYBwAAAADAYAj7AAAAAAAYDGEfAAAAAACDIewDAAAAAGAwhH0AAAAAAAyGsA8AAAAAgMEQ9gEAAAAAMBjCPgAAAAAABkPYBwAAAADAYAj7AAAAAAAYDGEfAAAAAACDIewDAAAAAGAwhH0AAAAAAAyGsA8AAAAAgMEQ9gEAAAAAMBjCPgAAAAAABkPYBwAAAADAYAj7AAAAAAAYDGEfAAAAAACDIewDAAAAAGAwhH0AAAAAAAyGsA8AAAAAgMEQ9gEAAAAAMBjCPgAAAAAABkPYBwAAAADAYAj7AAAAAAAYDGEfAAAAAACDIewDAAAAAGAwhH0AAAAAAAyGsA8AAAAAgMEQ9gEAAAAAMBjCPgAAAAAABkPYBwAAAADAYAj7AAAAAAAYDGEfAAAAAACDIewDAAAAAGAwhH0AAAAAAAyGsA8AAAAAgMEQ9gEAAAAAMBjCPgAAAAAABkPYBwAAAADAYAj7AAAAAAAYDGEfAAAAAACDIewDAAAAAGAwhH0AAAAAAAyGsA8AAAAAgMFkqLB/+PBhde/eXRUrVlTZsmXVtGlTrVy50qJPdHS0xo8fr1q1asnX11ctW7bUjh070qdgAAAAAADSQYYJ+6dPn1b79u114sQJdevWTYMGDVLmzJk1ePBgzZo1y9zvo48+UmBgoOrUqaPBgwcrLi5O3bp10969e9OxegAAAAAA0o59eheQXF9//bVsbW21ZMkSubm5SZLatm2rNm3aaPLkyWrRooUOHz6sjRs3aujQoerUqZMkqWnTpmrSpIlGjx6t5cuXp+MRAAAAAACQNjLElf34+Hjt2bNHNWrUMAd9SbK1tVWDBg0UGRmpY8eOKSgoSA4ODmrRooW5j7Ozs5o3b67g4GCdO3cuHaoHAAAAACBtZYgr+7a2tvr1119lY2NjtSw8PFySZGdnpyNHjqhYsWJydna26OPl5SVJOnLkiIoWLfrc6wUAAAAAID1liLBvY2OjQoUKWbVHRkZq2bJlcnZ2VpkyZXTt2jX5+PhY9cubN68k6fLly8+9VgAAAAAA0luGGMafFJPJpICAAIWFhalz587KlCmTIiIilDlzZqu+Tk5OkqSoqKi0LhMAAAAAgDSXIcO+yWTSyJEjtWbNGlWqVEm9e/dO1npJ3QYAAAAAAIDRZIhh/A+Li4vTkCFDtHr1avn4+Gj69OlycHCQ9GAyvujoaKt1EttcXFzStFYAAAAAANJDhgr7UVFR6t+/v/7++29VqlRJ06dPtwjwBQoUUFhYmNV6oaGhkmQxkz8AAAAAAEaVYYbxx8XFqV+/fvr7779Vq1YtzZw50+pKvZeXl06dOmV1dT84OFiSVLZs2TSrFwAAAACA9JJhwv7kyZO1detW1a5dW1OmTFGmTJms+tSvX1+xsbFauHChuS0yMlJLly6Vj4+PChcunJYlAwAAAACQLjLEMP7Q0FDNmjVL9vb2ql69utauXWvVp2rVqqpRo4Zq1KihcePG6cqVKypWrJgWL16sq1evasyYMelQOQAAAAAAaS9DhP39+/crLi5OkvTFF18k2efHH39U3rx5NWnSJE2YMEFBQUGKioqSp6enfvrpJ1WsWDEtSwYAAAAAIN1kiLBfv359nThxIll9s2TJooCAAAUEBDznqgAAAAAAeDFlmHv2AQAAAABA8hD2AQAAAAAwGMI+AAAAAAAGQ9gHAAAAAMBgCPsAAAAAABgMYR8AAAAAAIMh7AMAAAAAYDCEfQAAAAAADIawDwAAAACAwRD2AQAAAAAwGMI+AAAAAAAGQ9gHAAAAAMBgCPsAAAAAABgMYR8AAAAAAIMh7AMAAAAAYDCEfQAAAAAADIawj0eqU6ekdu/+0Kq9UaMy2rHjA1258rk2beojf/9CT9xWqVJ5tWRJR4WEjNCJE0P1xRf1ZW9vefoNG/aGTp4cpn//HaZBg2pbbcPFxVFbt/ZX376vpvygAAAAAOAlQNhHktq1q6C5c9vq8OHLFu0dO/prxowWmjVrt958c4Z27z6vhQs7KEeOzI/cVokSubR2bQ/Fx5v0zjuBGjw4SK1a+emzz+qZ+7Rp46fevV/VwIGrNHToag0ZUkceHnkstvP99y10+PAVTZ26LXUPFgAAAAAMxj69C8CLpUwZN33+eX3VqeMhSTpwIMS8rHjxXPrqq7f02We/aebMnZKkI0euqEkTb7Vp46dp05IO4WPGNNLVq3fUtu08xccnaM+ei3JyctCECU01btyfuns3Rh07+mvmzJ0KCgqWg4OdfvxRcnPLqn//DZP04Kq/m5uLunZd+Jx/AgAAAACQ8XFlH2b165fS1q3vy9nZUYMHB0mS9u+/ZF4+YEBNhYdH6uef95jbEhJMunjxpkqUyJ3kNnPkyKxatV7R999vV3x8grl9167zypTJXq+88mC9cuXc9fffpyVJ/v6FlJCQoJMnHwT9pk291aZNBbVvP18xMfdT96ABAAAAwIAI+zC7evWuKlWaoLfe+lE2NjaKj08wD+PPlMleb7/traCgYMXFxVusly2bk+zsbJLcZqFCOWRra2u+Qp+oQIHskiQXl0ySpPDwSBUp4qocOTJr2LA3tGXLaV29eldly+bXN9+8rY4d5+vq1bupfcgAAAAAYEiEfZgdPHhJp05dlyT5+RXUv/+GKSIiVtKDq+1Zszpp48Z/LdaxtbVRoUI5FRYWkeQ2b9+OliSrK/9dulSSJF2//mC98eP/1NdfN9KZMwFydXXWhx+uUu7cWTR/fjsNG7ZG+/aFCAAAAACQPNyzjyT5+RXU7t3nzd+XK+cuSdq796JFP0/PvMqSxVH//GM5kV+iCxdu6sCBSxo0qJb++eeKTp++rg8+qKl33vFRdHSczp69IUn66addWrLkkLJnd9LFi7fk4GCnVau6aNWqI1q06KCaNvXW8OH1lCePi7ZsOa2ePRcrMjLuOR09AAAAAGRsXNmHlWzZnFS8uKvF/fp58rgoNPSe+Up9ojfe8FB8fIK2bTv7yO116fKLQkPvafPmvjp/frjKls2vkJBb2rPnoqKj/+8e/Dt3onXx4i1J0vjxTRQZGacRI36Tp2ceTZ/+nj7//Hf5+o5T2bL51aZNhdQ9aLywKlcuonXreujy5ZE6cmSQPvigZrLW69Gjqnbv/lAhISP022895O2d37wsa9ZMmjWrlc6f/0z793+k+vVLWa1furSbTp36VJUqFU61YwEAAADSCmEfVvz83GVra2sxE390dJwiI2Ot+r77ro82bz6lGzciH7m98+dvqm7d7+Xl9bWKFfufPvtsnQoWzKHlyw8n2b9Hj6qqWrWounRZqIQEk9q2raCdO8/r11+DdfNmlMLCIpQ7d5ZnP1C88CpXLqKVK7vo9OkbatjwR40d+4c++aSWunWr8tj1xo1rouHD62nGjO1q3HimIiJiNX9+Wzk62kl68ISI0qXd1KLFz1q37pgmTnzHYn1XV2fNn99OI0b8pt27Lzy34wMAAACeF8I+rJQvX1AxMfd15MhVc9u//4Ypf/5sypo1k7mtTRs/+fgU0DffbH7ktr78soFmzWolSbpy5Y7u3YvV2LFNdPHiTS1ceMCqf82axTVoUG21azdPd+48GEVQurSb+YOHHDkyy9s7n44evWq1Loxn0qSm2rbtrPr1W6aDBy9pzpy9mjz5b338ca1HrtOgQWl17VpZvXsv0U8/7dKBA5f06adrlSePi0qVclPWrJn0zjtlFRCwTrt2ndfGjf8qd25n2dk9+HVoZ2erWbNa6/ffj2v+/H1pdagAAABAqiLsw4qfX0EFB1+1mHU/KChYoaF3NX36e/L3L6TOnStpzJhGmjz5L+3c+eDe/kyZ7FWyZG5lz+5kXu/IkStq3NhLHTv6y9+/kAIDW8rfv5B69Fhi9Ri9okVdNXNmK/Xps9Ri9v7Ll++oQoVC8vUtoEmT3tGNGxFav/7Ec/4pIL2VLZtfHh559d13f1u079p1XnnzuihXLuck1xs8uLZ27Tqv1auPmtuOHw9VgQIjdfjwZZUp4yYnJwf9/fcZSZK/f2GdPn3D/GjIMWMaKT4+QQEB657TkQEAAADPH2EfVsqXL6gDBy5ZtMXGxqtVq7lydc2sVau6qmfPahox4jeNHPm7uU+LFuW0a9eH8vUtYG5btOigxoz5Q598UluLF3dU5syOql//B+3add5i+y4ujlqwoJ2mTt1qFeQnTtwiF5dMWru2hwoUyK42beZZ3OsPYypcOKck6eTJ6xbtBQpkk/R/j218WOnSbvLxKaADB0K0aFEHnT8/XFu39lezZj7mPuHhD245KVIkpzw986hLl8rmUSYdO/qrdu1X1KXLQnP4BwAAADIiZuOHFW/vr5NsP3bsmho2/PGR682du1dz5+61ah8//k+NH//nY/d5716sqlWbnOSys2fDVafOtMeuD+O5fTtKklS8eC5dunTb3N6p04PHNt64Yf24x5o1i0uS2rWrqP/9b4O+/Xaz2revqJkzW+rGjQht2XJaJ09e1/Llh7Vz5wBJD0atTJu2TVWrFtXw4fXUqNGPunUr6jkfHQAAAPB8EfYBvJB2776gy5dv68svG6hz519082aUPv+8vvz9Cysk5Jbu3bOeMNLLK58kqUePxfrtt+P/fzsX5edXUO3aVdCWLaclSd26LVJAwFrFxycoLCxCBQvm0KxZrdW//3IdPx6qgIC66tDBX7a2NgoM3KXRozem3YEDAAAAqYBh/ABeSLGx8Wrbdp6cnBy0b99H+vffoXJystfduzH666/TSa6TO7eLzp69YQ76kmQymfTPP1fk7p7dou/Vq3cVFhYhZ2cHLVjQTj/+uEPr1h1T+/YV1a5dRTVpMlPNms3Sxx/XUunSeZ/rsQIAAACpjbAP4IV16NBlVakyUWXLjlWRIl9q8eKDypo10yMf2xgREaOLF29ZtRcvntviVoCHTZ/eXKdOXTc/VaJTp0qaOXOnjh8P1alTDyaKzJWLRz2+jIoVc9W8ee10/vxwnTw5TAsWtNcrr+R+7DpOTvYaPbqhTp4cpvPnP9PUqe/KxcXRvDxr1kyaNauVzp//TPv3f6T69UtZbaN0aTedOvWpKlUqnOrHBAAAXh6EfQAvpJ9+aqlRoxpKkjmof/llA+3de0F//HEqyXWOHQuVp2deOTn93x1K1asXU4UKBbVy5RGr/oMH11bRornUt+8yc1vp0nnNj3qsXr244uMTdPx4aKodFzKGbNmcFBTUXW5uLurU6Re1bj1X9va2Wr68s8UjSB9mb2+rxYs7qkaNEurRY7Fat54jH58C+vrrxuY+Y8Y0UunSbmrR4metW3dMEye+Y7ENV1dnzZ/fTiNG/Kbduy8812MEAADGRtgH8EI6fjxUHTv66+23vVWtWlEtXNhBefK4qE+fB8E8R47MKlkytxwd7czrBAbukoODnWbNai1//0Jq1aq8fv65jYKCjmjNmqMW22/UqIw6d66stm3nKSoqztx++fIdvf76K6pSpYi++KK+1q49quvXrScDhLG1aeOnXLmc1br1XP355ynt3XtRAwasUMGCOVStWrEk1/nww9fk61tAzZvP1p9/ntL27ef0+ee/q2XLcnJ1dVbWrJn0zjtlFRCwTrt2ndfGjf8qd25n2dk9+KfYzs5Ws2a11u+/H9f8+fvS8nABAIABMUEfgBfSxIl/ydXVWePGNZEk/fXXab3xxnKdP39T0oMrpI0be6lkyVGKjY2XJN26FaVmzWZp9OiGWrWqq27ejNKsWbs1Zswmi22XKeOmyZObqW3beQoJuWWxbOjQNRo/vrE6dvTX5s2n9cEHK5/7seLFkyePi27dirL4oCfxin5Sj2XMksVRffq8qlmzduvatbvm9rNnb8jW1lbFi+eSnZ2NnJwc9PffZyRJ/v6Fdfr0DfP2xoxppPj4BAUErHuehwYAAF4ShH0AL6S4uHgNHbpGQ4euSXJ5r15L1KvXEqv2w4cvq1GjmY/d9tGj11S8+P+SXLZhwwn5+p54+oJhKMuWHVLv3tXUpUtlzZu3V4UK5dCECU11+PBlbd5sfRtJ/fqllD17Zi1f/o9Fe7ZsTpIkOzsbhYdHSpKKFMkpGxupS5fKmjFjuySpY0d/1a79iurUmZ7khwkAAABPi7APAMB/hIbe0+bNpzV+fBONH/9gdMm2bWfVpMlPun/fOozXrl1SV6/e1eHDly3aixVzlSSFhUXozJkbWr78sHbuHCBJCgoK1rRp21S1alENH15PjRr9qFu3op7vgQEAgJcGYT+NPDwbM14OvOZAxpQzZ2b9/ntPOTjYqVevJTp9+roaNfJS//7V9eqrxbRu3TGrdcqVc9f+/SFW7eXLF9Tt21E6dy5cktSt2yIFBKxVfHyCwsIiVLBgDs2a1Vr9+y/X8eOhCgioqw4d/GVra6PAwF0aPXrjcz9eAABgTIT9NHA/3qTg4CHpXQbSwf14k+ztbNK7DABPoUePqnJ3z66aNb/Tv/8+ePzivn0hql69uDp3rpRk2M+Tx0Xr11vf/lGnTklt335OCQkmc9vVqw/u6Xd2dtCCBe304487tG7dMbVvX1Ht2lVUkyYz5ehor82b+2rFisM6doynQQAAgKdH2E8D9nY2GjH/tKJjuQ/zZeLkaKvP25ZI7zIAPCVfX3cFB18zB/1E9+/HWzz94WHR0XGKjIy1aPPyyqdSpdw0fvyfSa4zfXpznTp1Xd98s1mS1KlTJc2cuVPHj4fK2dlBkpQrV5ZnPBoAAPCyIuynkejYBMXEEfYB4EUXHh6hV17JbdFWokQuVahQ8JHD6k+eDFOpUnkt2kaPfkv//humlSuPWPUfPLi2ihbNpfr1Z5jbSpfOq9GjN0iSqlcvrvj4BB0/zlV9AACQMrbpXQAAAC+SOXP2qlgxV02a9I58fAqobl1P/fJLB504EaYfftihHDkyq2TJ3BZX+adP367Gjb3Us2dVVaxYSNOnN5efX0H17r3EYgi/JDVqVEadO1dW27bzFBUVZ26/fPmOXn/9FVWpUkRffFFfa9cetXj0H14uvXpVU3j4KKuv9u0rPnKd+vVLacuWfrpy5XPt3TtQbdr4WSzPmjWTZs1qpfPnP9P+/R+pfv1SVtsoXdpNp059qkqVCqf6MQEA0hZX9gEAeMju3RfUuvVcDRlSR2vXdtfduzFau/aYvvxyvSIj4/Ttt03VuLGXSpYcpdjYeEnSxo3/asiQNfrww5rKls1Je/deVMOGP+iff65YbLtMGTdNntxMbdvOU0jILYtlQ4eu0fjxjdWxo782bz6tDz5YmUZHjBfRG294aPnyw/r6600W7SEht5Ps/847ZfXDDy00depW9eu3TLVqvaJJk97R9esR5vkkxoxppNKl3dSixc9q0sRLEye+o1KlvjJvw9XVWfPnt9OIEb9p9+4Lz+/gAABpgrAPGBxPBXg58bo/m40b/9XGjf8muaxXryXq1WuJVXtg4C4FBu567HaPHr2m4sX/l+SyDRtOyNfXepI/vHwyZ3ZQtWpF9cEHK3Ty5PUn9s+SxVFjxzbWvHn7NHLk75Kkf/65Ig+PPPrkk1pav/6EsmbNpHfeKasOHRZo167zcnZ2UM+eVWVnZ6v4+ATZ2dlq1qzW+v3345o/f9/zPkS84Hr1qqbRo9+yav/ggxWaO3dvkuuMHt1QvXq9atX+zjuB2rLltLJmzaTJk99R7doeunEjQsOGrdFvvx236Fu6tJuCgrqpTZu5fOAEpALCPmBgPAni5cbTIICMqXr14nJyctDWrWeT1f/1119RrlxZNGXK3xbtu3ZdUJMm3pIejCpxcnLQ33+fkST5+xfW6dM3FB//YD6hMWMaKT4+QQEB61LxSJBRPe3IEkmqU8dDU6du1Zw5eyzaz5598OhRRpYAaY+wDxgYT4J4efE0CCDjqlOnpG7fjtLIkW/q9ddfUUzMfa1adUSjRm1QdPR9q/6FC+fQ/fvxOnPmhkV7gQLZ5OzsIDs7W4WHR0qSihTJKRsbqUuXypoxY7skqWNHf9Wu/Yrq1JluDv94eT3tyBLpwXlVsmQevf9+0uswsgRIH4R9wOB4EgQAZCxvvOGhqKj7+vvvM/r+++169dViCgioKwcHOw0Zstqq/+3b0bK3t1ORIjl1/vxNSZKTk71at/bTrVvRio9P0MmT17V8+WHt3DlAkhQUFKxp07apatWiGj68nho1+lG3bkWl5WHiBfW0I0ukB+dsRESs9u8PSXI5I0uA9EHYBwAAeEHY2dnqiy9+1759Ibp06cGQ6QMHLqlgwRxq0aJckmF/w4YTuncvRhMmNFXv3ktla2ujb755W4UL59T27f8X2Lp1W6SAgLWKj09QWFiEChbMoVmzWqt//+U6fjxUAQF11aGDv2xtbRQYuOuRj5qEsT3tyJIH63goLOyeZs9urcqVi+jWrSjNn79Pkyb9pYQEEyNLgHRC2AcAAHhBxMcn6Ndfg63az5y5oRw5MsvBwU5xcfEWy8LCItSx4wJNmfKujh0boujoOC1ffljx8Qn6668zFn2vXr0rSXJ2dtCCBe304487tG7dMbVvX1Ht2lVUkyYz5ehor82b+2rFisM6diz0+R0sXkhPO7LE0dFO1asX09Wrd7V06SF9++1mNWhQWsOH11Ns7H1NnbqNkSVAOiHsAwAAvCAGDKipO3dirJ7s4ONTQBcv3rQK+on+/POUfHzGyt09u65evau2bSuoTZsKWr78cJL9p09vrlOnruubbzZLkjp1qqSZM3fq+PFQOTs7SJJy5cqSegeGDCElI0syZbJXv37L9PffZ3Tz5oPAvm9fiMqUyacWLcpr6tRtkhhZAqQH2/QuAAAAAA9Uq1ZMnTtXsmjz9MyjZs3KatGig0mus25dD/Xt+6oSEky6ePGWcuRw0uDBtbVixWGdOmU9WdrgwbVVtGgu9e27zNxWunReHTjw4H7r6tWLKz4+QcePc1X/ZZM4siQx6Cd6eGTJf929G6Nffw02B/3/W+e6cue2/MDo6tW7CguLeOzIkmbNZunjj2updOm8qX+AwEuGsA8AAPCC+OmnXfLyyqfx45vIx6eAWrUqr5Uru+rEiTB9++1m5ciRWSVL5paj4/+FrlOnrqtfvxr//77nklq2rLOiouI0aFCQ1fYbNSqjzp0rq23beYqKijO3X758R6+//oqqVCmiL76or7Vrj+r69Yg0OWa8OAYMqKkuXSpbtT9uZMmXXzbQO++UTXKd/z4hItHjRpacOhUmiZElQGpgGD8A4LlxcXFM7xKQDnjdU+7334+rR4/FGjjwNbVp46crV+5o3rx9+vbbzYqOvq+JE99R48ZeKllylGJjHwSvYcPWyN7eVjNntlJ09H399tsxjR69UTduRFpsu0wZN02e3Ext285TSMgti2VDh67R+PGN1bGjvzZvPq0PPliZRkeMF0m1asWUP382i9tIEkeWfPfd1iTXqVvXQyVK5NaKFf+Y22rWLK5q1YpqwICVVv0TR5bUrz/D3Fa6dF6NHr1BEiNLgNRE2AcAPBf3400KDh6S3mUgndyPN8nezia9y8iQli49pKVLDyW5rFevJerVa4lF2927Merde+kTt3v06DUVL/6/JJdt2HBCvr4nnr5YGMpPP+3SL7+01/jxTTRnzl6VKeOmESPetBhZkidPFp0/f9P8YdPMmbs0dmxjDR5cW2vXHlOVKkUUEFBPmzad1Pz5+y22nziy5I03pic5siQiIpaRJUAqIuwDAJ4LezsbjZh/WtGxPErpZePkaKvP25ZI7zIAPKWUjCyZOXOnHBxs1a1bFb3/fk1duHBT48f/oWnTtstkMpm3zcgSIO0R9gEAz010bIJi4gj7AJBRPO3IEkmaPn27pk/f/tjtMrIESHtM0AcAAAAAgMEQ9gEAAAAAMBjCPgAAAAAABkPYBwAAAADAYAj7AAAAAAAYDGEfAAAAAACD4dF7AADAkFxcHNO7BKQDXncAeICwDwAADOd+vEnBwUPSuwykk/vxJtnb2aR3GQCQrgj7AADAcOztbDRi/mlFxyakdylIY06Otvq8bYn0LoMRBi8pXne8SAj7AADAkKJjExQTR9hH2mNkycuNkSV4URD2AQAAgFTEyJKX14sysgSQCPsAAABAqmNkCYD0xqP3AAAAAAAwGMI+AAAAAAAGQ9gHAAAAAMBgCPsAAAAAABgMYR8AAAAAAIMh7AMAAAAAYDCEfQAAAAAADIawDwAAAACAwRD2AQAAAAAwGMI+AAAAAAAGQ9gHAAAAAMBgCPsAAAAAABgMYR8AAAAAAIMh7AMAAAAAYDCEfQAAAAAADIawDwAAAACAwRD2AQAAAAAwGMI+AAAAAAAGY9iwf/nyZX344YeqUqWKKlSooL59++rixYvpXRYAAAAAAM+dfXoX8DzcunVLHTp00L1799SxY0c5OjoqMDBQbdu21cqVK+Xq6preJQIAAAAA8NwYMuzPnj1bISEhWrp0qby9vSVJNWrUUNOmTfXjjz9q8ODB6VwhAAAAAADPjyGH8a9evVrlypUzB31J8vDwUJUqVbR69ep0rAwAAAAAgOfPcGH/9u3bunjxokXQT+Tl5aXQ0FCFhoamQ2UAAAAAAKQNw4X9a9euSZLc3NysluXNm1eSdOXKlTStCQAAAACAtGS4e/YjIiIkSZkzZ7Za5uTkJEmKjIxM9vZiYmIkSadPn36muiJvhCg2LuGZtoGMJd7BVsHBseldBufeS4rzD+mJ8w/pifMP6elZz7/EzJGYQYBnYbiwbzKZJEk2NjaP7PO4Zf8VEhIiSfrkk0+erTC8lNb/mN4V4GXG+Yf0xPmH9MT5h/SUGudfSEiI/Pz8nn1DeKkZLuw7OztLkqKioqyWRUdHS5JcXFySvb3q1atr3LhxKliwoDJlypQ6RQIAAADAf8TExCgkJETVq1dP71JgAIYL++7u7pKksLAwq2WJE/MldT//o7i6uqpJkyapUxwAAAAAPAZX9JFaDDdBX9asWVW4cGEFBwdbLQsODla+fPmUJ0+edKgMAAAAAIC0YbiwL0n169fXvn37LAL/v//+q507d6pRo0bpWBkAAAAAAM+fjSlxRjsDuXXrlho3bqy4uDh17dpVtra2mjVrlhwcHLRs2TK5urqmd4kAAAAAADw3hgz7knTx4kV99dVX2rFjhxwdHVWpUiUNGjRIhQoVSu/SAAAAAAB4rgwb9gEAAAAAeFkZ8p59AAAAAABeZoR9AAAAAAAMhrAPAAAAAIDBEPZfEFOmTJGnp6d27dr1yD61a9dW7dq1n3rbISEh8vT01Pjx4y3aL1y48NTbepz27dvr1VdfTVbfPXv2qE+fPqpWrZq8vb1VvXp19e/fX3v37k2y/7PUGhERoevXr6d4faSeyMhIzZ07Vy1atFClSpXk4+Ojxo0ba8aMGYqJiUnv8h6rdu3aatGiRXqXkaG8LL/Xdu3aJU9PT02ZMiXJ5bNnz5anp6caN26s8PDwR9aeFhJfk9OnT6f5vpE8Tzqfntby5cvl6empv/76S9Kj3zswhk2bNqlPnz6qXbu2vL29VbVqVXXv3l3r169P79IApAPC/kvA1dVVY8eO1VtvvWVumz59utq1a5cu9axYsULt2rXTtWvX1KlTJ40YMUKtWrVScHCw2rZtqyVLllj0f5Zajxw5ogYNGujo0aOpUTqewYULF9SiRQuNGTNGRYoUUb9+/fTRRx/J3d1d3377rTp27KjIyMj0LhMZxIv2e+1RlixZojFjxqh48eKaNWuWXF1dk6wdSCucf8YUGRmp999/X3369NH169fVsmVLjRw5Up06dVJoaKj69++vwYMHp3eZANKYfXoXgOfP2dlZb7/9tkXb9u3bFR8fn+a1REdH66uvvlLVqlUVGBgoW9v/+7ypS5cuatasmb766ivVr19fWbNmfeZa//33X127di1VakfKxcbGqm/fvgoNDdWiRYvk7e1tXtaxY0fNnj1bX331lUaNGqVRo0alY6XIKF6k32uPsnbtWn322WcqXLiwZs+erdy5c0tKunYgrXD+GdOXX36p33//XSNGjFCbNm0slnXv3l2jRo3SvHnzVK1aNV5/4CXClX2kqZMnT+r27duqXr26RdCXHvwB0rJlS0VFRenYsWPpVCGeh4ULF+rff//V4MGDLYJ+ok6dOqlUqVJas2aNbt++nQ4VAqlry5YtGjRokPLnz6+ff/5Zbm5u6V0SAIM6dOiQli9frkaNGlkFfUmytbXV4MGDlSdPHv3yyy/pUCGA9ELYz8AS78P7559/NHToUFWuXFm+vr7q3Lmzjh8/bu733/vzateurd27d+v69etW9wX+9ddfatOmjcqVKyc/Pz91795dwcHBVvveuHGj3n33Xfn6+urNN9/UihUrklWzi4uLpAdXvG7dumW1vH379goODlalSpUeW+v9+/f1008/6Z133lH58uVVtmxZ1a9fXzNmzFBCQoKkB/emDh06VNKDT7Ufvi/42rVrGjp0qHnOgEaNGmn+/PlW9SxZskRvv/22ypUrp4oVK6pr166PnFcAj7Z69Wo5OzurSZMmj+wzbdo0bdu2TdmzZ5f04Bzr2LGj/P395e3trZo1a2r48OEW501y3wOSdOPGDY0aNUp169aVt7e3ypcvr5YtW2rjxo1WtSxZskSNGjWSj4+PmjRpoi1btiRZc3JqxNPJiL/X/mvPnj16//33lTt3bv3888/Knz+/xfKk7plOrHn+/Pl688035e3trTfffDPJ30vbt29Xq1atVL58eb322muaOnWqvvvuO3l6elr0O3HihHr27KkKFSqoWrVqGj9+vO7fv2+1vZiYGE2ePNn83qhRo4Y+//xz3bx506Kfp6enpk6dqtmzZ6tOnTry8fHRu+++q4MHDyo8PFyffPKJKlasqGrVqumzzz5TVFRUin5+sDRkyBDVrl1bx48fV6dOnVSuXDlVqlRJQ4cOtXqNLl26pA8//FCVK1dWxYoVNXz4cN27d8+iT1LnX0REhCZOnKi33npLvr6+8vX1VZMmTbR48eI0OUY8m1WrVkmS+vTp88g+jo6Omjp1qqZOnWrRnpy/hxJ/L69bt05vvvmmypYtq88++8x8Li1btkwTJkxQjRo15Ovrq/bt2+vs2bMKCQlRr169VL58edWsWVPffvut1eirJUuWqFWrVvLz85O3t7fq1Kmjr7/+2mIen8S5RkJCQtSvXz9VqFBBfn5+6tevn0JCQiRJ9+7dk4+Pj3r16mV17Nu2bZOnp6eCgoKe7gcLGADD+A3ggw8+UKFChfT+++8rNDRUgYGB6t69u/7880/Z21u/xMOGDdM333yjsLAwDR8+3PwH4sqVKzVkyBBVqFBBAwcOVGRkpJYtW6bWrVtr9uzZ8vPzk/QguH388ccqXbq0Bg4cqLCwMI0cOVK2trZydnZ+bK3FihVTpUqVtHv3btWqVUu1a9fWq6++qkqVKqlgwYJW9T6q1oCAAK1cuVItWrRQ69atde/ePa1atUrffvutHB0d1blzZ9WtW1dhYWFatGiRunbtaq4/LCxMLVq0UGxsrFq3bq1cuXJp27Zt+uKLL3T27FkFBARIevCBREBAgGrVqqXWrVsrKipK8+bNU6dOnbRq1SqVKFHi2V64l4TJZFJwcLD8/Pzk4ODwyH7u7u7m/1++fLmGDh2qV199VQMGDJD04B/rxYsXKywsTN9//73Fuk96D8TExKht27YKDw9XmzZt5O7uritXrmjhwoXq16+fli5dah5x8MMPP+ibb75R5cqV1apVK505c0b9+vWTjY2NeRh2SmrE08lIv9ce9s8//6hXr166f/++Zs2apUKFCiV73RUrVpjP1ezZs2vBggX64osvVLBgQb322muSHowY6N27t4oWLar3339ft2/fVmBgoNXP5OzZs2rTpo0yZcqkbt26yd7eXr/88otVOIyLi1O3bt20e/duNWrUSJ07d9apU6e0aNEibd++XYsXLzZ/ACdJixcvlp2dndq3b6/o6GjNmDFD/fr1U548eZQ/f359/PHH2rlzpxYtWqScOXPqww8/TPbx49Fu376tjh07qnbt2mrQoIH27dun5cuXKzIyUpMmTZIk3bx5U61bt9bdu3fVoUMH5cyZU8uWLdPq1aufuP1evXrp0KFDatOmjUqUKKHw8HAtXrxYw4cPV44cOVSvXr3nfYh4Brt27VKePHme+HeJr6+vxffJ/Xso0aeffqqWLVsqX758Kly4sLl98uTJypYtm3r16qUrV64oMDBQ/fr1U1RUlCpXrqwhQ4Zo3bp1mjFjhgoWLGie7HbKlCn67rvv1LBhQzVt2lQxMTHasGGDAgMDFRcXZ7X/Dh06yMvLS5988olOnTql+fPn6+rVq1q6dKlcXFxUq1Ytbdq0Sbdv37b4vZV4weGNN95I0c8XyNBMeCFMnjzZ5OHhYdq5c+cj+9SqVctUq1Yt8/fLli0zeXh4mLp165bktrZu3WoymUymixcvmjw8PEzjxo0z92nXrp2pWrVq5u/v3r1r8vPzM/Xq1ctiW3fv3jXVqlXL9M4775hMJpMpPj7e9Oqrr5oaNWpkio6ONvfbuXOnycPDw2Kbj3Ljxg1T9+7dTR4eHhZf9evXN82cOdMUExNj0f+/tYaFhZlKlSpl+vLLL61q9fb2NnXu3NnqZ7RlyxZz25AhQ0x+fn6mixcvWqw/atQok4eHh+nYsWMmk8lk6t69u6l8+fKmhIQEc5/jx4+b6tWrZ1q9evUTjxMP3Lhxw+Th4WH68MMPk71Ow4YNTW+//bYpPj7eor1FixYmLy8v82uS3PfA2rVrTR4eHqbff//dot9ff/1l8vDwME2fPt1kMplMN2/eNPn4+Ji6dOlise/E/bz33ntPXePL7GX5vZbY7/333zdVqlTJ5OnpafLw8DAFBgYm2T+p2j08PEze3t6mS5cuWfUbOHCgue2NN94wvfbaa6a7d++a2w4fPmzeZ6IBAwaYypYtazp37py57fr166aqVauaPDw8TKdOnTKZTCbTwoULTR4eHqZp06ZZ1LhmzRqTh4eHadSoUY+tccyYMSYPDw9Tz549zW3x8fGmmjVrmn++eDqJ59PkyZNNJpPJNHjwYJOHh4dpxowZFv3atWtnKlOmjCkyMtJkMplM48aNM3l4eJj27Nlj7hMREWF66623LP4d/O/5d+jQoSTP19OnT5s8PDxMAQEBz+1YkTr8/PxM7777rlV7dHS06caNG1Zfif9uJffvocTfyx999JFFv8RzqWrVqha/k/r372/y8PCw+DstIiLC5OXlZerXr5/JZDKZYmNjTRUqVLD43WEymUxxcXGmmjVrmurVq2duS/z9/9lnn1n0TXxvnD171mQymUybNm0yeXh4mBYvXmzuExMTY6pQoYLpk08+efwPETAohvEbQIMGDSy+L126tKQHn9gm1/bt23Xv3j29+eabCg8PN3/FxsbqtddeU3BwsK5du6bg4GCFhYWpWbNmypQpk3n9ypUrq0yZMsnal6urq3744QetWrVK/fr1U/ny5WVvb68zZ85o7Nix6tChw2OHf+bOnVv79u3TwIEDLdrDw8Pl4uLy2BndExIStGHDBpUvX17Ozs4Wx5p45WLz5s2SpHz58ikiIkL/+9//zI+p8vT01O+//84sxk8hcW6GpIYPP8rKlSv1888/W8zrkPj6xsXFKS4uzqL/k94DDRo00I4dO1SnTh1zn/j4ePMtH4nnzM6dOxUdHa2WLVta7Ltp06bKmTPnM9WIp5PRfq9J0m+//SYbGxstWLBAbm5u+vbbb3Xy5Mlkr1+uXDkVKFDA/H3BggWVLVs286NDjx8/rgsXLqhly5bmW6IkqWzZshaPB0xISNCWLVtUrVo1FSlSxNyeK1cuNW7c2GKfGzdulJOTk7p06WLR3rBhQxUrVszqNpeyZcta1Fi8eHFJsrjya2trK3d3d4WGhib72PFkDRs2tPi+dOnSun//vvm2oc2bN8vDw0MVK1Y093F2dn7iI0N9fHy0d+9etW3b1txmMpnMv7N5SsqLLyEhQSaTyap9yZIlqlq1qtXX5cuXn+rvoURVqlRJcv+vvvqqxe+kYsWKSZLq1q1rbnN2dlauXLnMv8MdHBy0bds2q0dA3rhxQ9myZVNERITVfpJ6D0gy/46sUaOGcubMqbVr15r7bNmyRXfv3rX63Qe8LBjG/4JI/APzcTNJ379/X1myZLFqz5Url8X3jo6OkmQOMslx/vx5SXrsY1kuX76sq1evSpLF8K1ExYsXf6o/7kqVKqVSpUqpf//+unfvnjZu3KgpU6bowIEDmj9/vrp16/bIdR0dHbVmzRr99ddfOnfunC5cuKA7d+5I0mOHzd68eVN3797V33//rapVqz7yOCWpb9++OnTokObNm6d58+apYMGCev3119WsWTN5eXkl+zhfdjly5JCjo6Nu3LiR7HUcHBx04sQJBQUF6cyZM7pw4YLFufXfP2qS8x6ws7PTrFmztH//fl28eFHnz5833xOY2C/x3r//nt+2trYqWrSoxfaetsaX0cv2ey1btmwKDAxUmTJl9OWXX6pHjx4aNGiQFi9e/NhbWBK5urpatTk6OpqPOfF4ihYtatWvRIkS2rp1qyTp1q1bioiIsAj6D/d7WEhIiAoUKGDxIcfDfTdt2qSEhATzh1oP38oiPXhfSdavl52dHe+BVPao90Ti+yskJETVq1e3Wi85t5w5ODho6dKl2rlzpy5cuKDz58+bQ/7TvOeQPvLmzZvkB6FvvPGG+QM5SVq6dKnWrFkj6en+Hkr03/f/o9oTbytK6vfFw+eTo6Ojtm7dqg0bNujs2bO6cOGCwsPDH7mvJ70HHBwc1LBhQy1cuFA3btxQrly5FBQUpNy5c6tatWpJ1g4YHWH/BZF4b9F/J9J52J07dyyuqCSysbF55v0n/vL97LPPzJ/I/lfx4sXNj7F7eOKURMn5w27VqlU6duyYhgwZYtHu4uKipk2bqkKFCqpbt6727t37yLAfGxurdu3a6fDhw6pUqZL8/f3Vpk0b+fv7q0OHDo/df+I/CLVr11b79u2T7JM3b15Jkpubm1asWKG9e/fqzz//1NatWzVv3jzNnz9fo0aN0rvvvvvE48UDfn5+OnTokGJjY83/OP/X0qVLtXHjRvXv318rV67UnDlz5OHhofLly6tBgwby8fHR3Llz9euvv1qt+6T3wLlz59S6dWtFR0eratWq/6+9e4+nOs//AP7i5LaMJLZwagjZMUXUsg2WTLcpI5dCidk0j6alWqpNpgvdm2TG5ZgojpG2nMzIVDw0mXaatkQatI+ttgejqLbSuKRJTPj90cP5zXEQM7mMXs/Hw+PB53s57+/3fH3PeX8/N0yfPh1mZmbQ19fHggUL5PbTk+t7x44dvYrxVfSq3NfaLV68WNoSwNHREW5ubsjKykJcXJxcS6TOdJyhpKP2mtbO/oc6S9afPn0qV9Yxcevu+FpbWzFs2DCZuNqT+45exvtF3XvR9aGgoNCj97yjmpoa+Pj44O7du5g6dSrs7e2xdOlSTJkyBU5OTr8mZOon1tbWyMzMREVFhcy9bvTo0Rg9erT07wsXLkh/7833oXZdXYNd3Re609bWhpUrV+L06dOwtLTExIkT4eHhASsrK2zZsgU3b96U26Yn9xlXV1f84x//QG5uLubNm4ezZ8/Cy8vrF8VINBQw2R8kTExMADyfF76zgXBu3ryJxsZGjB8/vk9ev31wtOHDh8s9/SwpKcHjx4+hqqoqrTWvqKiQ20dlZeULX6ewsBCff/45PD09YWpqKrd8zJgxUFNTg5qaWpf7yMnJQWlpKTZv3izT7LC9OWPHD6ef09bWhpqaGpqbm+WOs6amBpcuXZLWhpWXl+PJkyewsbGBjY0NQkNDUVZWBl9fX4jFYib7vTBz5kxcvHgRJ06c6PS8tbW14ejRo7hy5QoCAgJw8OBBvPPOO/jkk09kPtx70zrg5xITE1FbW4vjx4/L/A999913Muv9/Pr++UBGbW1tqKqqglAoBPB8xOuXHeNQ9Krc19p1/CL84Ycf4vz580hKSoKTk5N0MMBfqr3lQWdfgttr/QFgxIgR0NDQ6HS9jscjFApRWFiIp0+fQlVVVWbZ999/L5Mo0OAmFAp79J53dPjwYdy6dQuJiYkyyX37QzAa/Nzc3JCZmQmxWIxt27b1aJvefB/qC0VFRTh9+jQCAgLkWl+1N8v/JSZNmoTXX38deXl50NHRwdOnT7udCYhoqGOf/UHCwsICo0aNgkQi6fQmJxaLAQCzZs16Ka+nqKgo87Tfzs4OqqqqSE5ORnNzs7S8rq4Oq1atQlhYGAQCAczNzWFgYID09HSZ2rri4mL8+9//fuHrtt9wt2/f3mk/wBMnTuDJkycyI6Z2jLW9f2LHpokSiQSNjY0yfcPbv3y3114NGzYMjo6OuHDhAkpKSmS2j42NxapVq1BWVgbg+aizgYGBMnGOGzcOmpqaL6xhIVkLFiyAoaEhIiMjO53yLD4+HqWlpZg7d66039+4ceNkkuj//Oc/KCwsBNC7/v/A82tGWVlZppl2a2srDh48COD/azjeeustqKur4+DBgzL/Bzk5OTJJfH19/UuPcSh6Ve5rXRk+fDgiIiLQ0tKC0NDQX933+c0334RQKERmZqbMuCa3bt2SmR5SQUEBM2bMQEFBAa5cuSItb2hoQFZWlsw+3377bTQ1NSElJUWmPDc3Fzdv3sS0adN+VczUf2bOnImqqirk5uZKy5qbm5Gent7tdl19pn722WcAuu+GQ4ODra0t3NzccPToUel9taOioiKZvuy9+T7UF9qvu/aHwu2++eYb3Lx581d9hrq6uuLSpUvIzs6GkZERJk6c+GtCJfpNY83+IKGkpIRt27Zh5cqVcHNzg6enJ8aMGYPHjx/jzJkzKCgogLe3t8wgTL+GtrY2amtrkZSUhD/+8Y+wtLTEmjVrpM3T3dzcIBAIkJ6ejgcPHuDjjz+W9sEKDw9HYGAg5s+fD29vbzQ0NCA1NbXT/qYd2draYvny5UhISMDs2bPh4uICIyMjNDc3o6CgAKdPn8acOXNkBmHpGKudnR2UlJTw4Ycfws/PD2pqasjPz0dubi5UVFRkBnVpj0kikeDRo0d49913sXbtWhQUFOAvf/kLFi5cCENDQ1y8eBE5OTlwcnKCg4MDAGDZsmUIDAzE4sWLMW/ePCgrKyMvLw+VlZXYvn37S3kfXhXKysoQiUQICAiAt7c35syZg0mTJuHHH3/E2bNncenSJUyYMAHh4eFQVVWFgYEBxGIxWlpaIBQKcePGDXz++efShyw//vhjp/28u+Lk5IQzZ85g6dKlcHFxQVNTE3JycnD16lUoKipKrxkNDQ2sX78emzZtwqJFizBv3jzcvXsXhw8fhpaWlnR/JiYmLz3GoehVua91Z/r06XBxccHJkyexe/dubN269RfvS1FRERs2bEBQUBC8vLzg6emJx48f49ChQ3LrhoSE4Ny5c1iyZAnee+89vPbaa5BIJHLN9j09PXH8+HFER0ejvLwc1tbWKC8vh0QigVAoRFBQ0C+Ol/pXQEAAsrOzsXbtWpSUlMDAwADHjx9/YS2pk5MT0tLSEBgYCG9vbygoKODMmTM4f/48lJSUOh0ojQafiIgItLa24qOPPsKxY8cwY8YM6Onpoba2Ft9++y0uXboEFRUVBAcHQ09PDwB6/H2oL1hbW0NTUxORkZF48OABRo4cidLSUmRlZUFFRQVPnjxBW1vbL+oi5Orqiri4OJw6dQqrVq3qg+iJfjuY7A8ijo6OkEgkSElJkX5Aa2howNjYGHv37n2pI4m+//77+O9//4vo6Gh4eHjA0tIS/v7+0NPTQ3JyMuLi4qCkpITx48cjLCxMOsdze5zJycmIjY1FdHQ0tLW1ERwcjNLSUuTn57/wtUNCQmBjYwOJRILs7GzU1NRARUUFpqam2L59Ozw8PGRu7h1j3bp1K0QiEWJjYxETEwM1NTUYGhoiJiYGpaWlSElJwZ07d2BgYICpU6finXfewT//+U8UFRVh5syZGDNmDDIyMhAbG4svv/wSDQ0N0NfXx8qVK/H+++9LkzVnZ2fEx8cjKSkJ8fHxaGpqgqmp6Ut/L14VpqamyMrKwqFDh5CXl4evv/4aP/30E4yMjPD3v/8d/v7+0r7IBw4cwO7du3HkyBG0tLRAX18fy5cvh7GxMYKCgnDhwgW4ubn1+LW9vLzQ0NAAiUSCnTt3QltbG+bm5tJ5pH9+3Xp5eWH48OFISEhAZGQk9PT0sGvXLqSlpUlruJSVlV96jEPVq3Jf687GjRuRn58PiUQCZ2dnuZqs3mi/L4lEIkRFRUFbWxsBAQG4du2azMj5o0aNQnp6OiIjI5GWlgYAmDt3LoyNjWUeViorK0MsFmPfvn3Izs5Gbm4udHV14ePjgxUrVsg85KLBTV1dHYcPH0ZUVBSysrLQ1NQEJycnLFmyBCEhIV1uZ29vj127diE5ORl79uyBpqYmTE1NkZKSgiNHjuDcuXNobGzstnsdDTw1NTVERkbC3d0dX3zxBY4fP4779+9DVVUVxsbG+Nvf/gYvLy+Zge96+n2oL4wcORL79+/H3r17ceDAAQwbNgxCoRAbN25ES0sLtm3bhsuXL8vMLtFTY8eOhZWVFYqLi9mEn155Cm0cLpeIiGjQa21tRW1trdyI1MDzBx1lZWVyU2UREb2KFi5cCAA4cuTIAEdCNLDY8ZiIiOg3oK2tDY6OjnKDWVVXV6OoqAgWFhYDFBkR0eBx/fp1FBcXY/78+QMdCtGAYzN+IiKi3wCBQAAXFxdkZWVBIBDAysoKtbW1OHr0KBQUFLBixYqBDpGIaMCcPHkSeXl5yM/Ph76+PlxcXAY6JKIBx2SfiIjoN2LLli0wNDTEl19+iezsbKipqcHGxgYrVqzosykMiYh+CwQCAb799lsYGBjgo48+goqKykCHRDTg2GefiIiIiIiIaIhhn30iIiIiIiKiIYbJPhEREREREdEQw2SfiIiIiIiIaIhhsk9EREREREQ0xDDZJyIiGiI45i4RERG149R7RETUr9avX49jx451u46NjQ3S0tL6LIa1a9fixIkTcuUxMTGYPXt2t9tWVFQgNTUV//rXv/DgwQNoa2vD2toay5Ytwx/+8Ie+CvmFMjIyUF5ejvXr13e7np+fHwD06fklIiKigcep94iIqF9VVlaipqZG+venn36Kq1evQiQSScs0NDRgYmLSZzG4uLjAzMxMmvi2MzQ0hJaWVpfbffXVV1i3bh1MTU3h4+MDoVCIe/fuITU1FWVlZdi3bx/s7Oz6LO7uODs7w8bGBrt37+52vbKyMgDo0/NLREREA481+0RE1K/Gjh2LsWPHSv/W1taGsrIyJk2a1C+v39TUhIqKCrz33nu9es3KykqEhobCwcEB0dHREAgE0mUzZ87EwoULERoaijNnzkBZWbkPIn85mOQTERG9Gthnn4iIBqXz589j0aJFmDx5MmxtbbFmzRr873//ky7PzMyEmZkZSktL4e7uDgsLC7z77rvIzc3tdr83btzAs2fP8MYbb/QqnrS0NDQ3N2Pjxo0yiT4AqKmpITQ0FJ6enqivr5eW5+TkwMPDA1ZWVrCzs8PmzZtllq9fvx7Ozs4y+7p9+zbMzMyQmZkJACgoKICZmRny8/MREBAAS0tL2NnZITIyEi0tLQCe1+rfuXMHx44dg5mZGW7fvo3MzEyYm5sjIyMDdnZ2sLGxQVlZGfz8/GRaNLS2tmL//v2YMWMGJkyYgFmzZsk18a+srMTy5ctha2sLS0tLeHt74+zZs706f0RERNS/mOwTEdGgk5WVhYCAAOjp6eHjjz9GWFgYiouL4e3tjR9++EFm3Q8++ABvv/02RCIRjIyMEBwc3G0iev36dQDP+7jb29tjwoQJWLRoEUpLS7uN6dy5czA3N8eoUaM6XT516lSEhIRAV1cXwPPuCatXr8akSZMQGxuLoKAgnDp1Cn5+fnj69GlvTgeA5+MMTJ48GQkJCXBxcUFSUhIyMjIAACKRCLq6unB0dIREIsHvf/97AEBLSwvEYjF27NiBsLAwGBsby+03IiICsbGxcHV1RUJCAmbPno2dO3ciPj4ewPOHAR988AEaGxuxZ88efPrpp9DS0sJf//pX3Lp1q9fHQURERP2DzfiJiGhQaW1txd69e2Fvb4+oqChpubW1NebMmYPk5GSsW7dOWu7n54egoCAAgIODA9zd3REfHw9HR8dO93/t2jUAQGNjI6KiolBXV4f9+/fD398fEomky0H27t271+PWAPX19di3bx+8vLywefNmafn48ePh6+uLL774Ar6+vj3aV7sFCxZIj3Pq1KnIy8vDN998Ax8fH5ibm0NZWRna2tpyXROWL18OJyenTvdZUVGBo0ePYvXq1Vi2bBkAwN7eHgoKCkhMTMSiRYvw7NkzfP/99wgMDJSeUwsLC4hEIjQ3N/fqGIiIiKj/sGafiIgGlYqKClRXV8PFxUWmfOzYsbCyskJhYaFMubu7u/R3BQUFzJgxA1euXOmy9nzx4sVISkrCnj17YGtri1mzZiElJQVqampISEjoMi6BQCBtNv8iJSUlaG5uljuGKVOmwMDAQO4YesLKykrm79GjR+PJkycv3K67BxQXL15EW1sbnJ2d8ezZM+mPs7MzmpqacPnyZejo6MDExASbNm1CaGgoTpw4gdbWVoSFhcHU1LTXx0FERET9gzX7REQ0qNTV1QEAdHR05Jbp6Ojg6tWrMmXtTdbbjRw5Em1tbXj06BFUVVXl9jFu3DiMGzdOpkxTUxPW1tbSJv6d0dfXx927d7tc/tNPP6G+vh46OjrSfvldHUNDQ0OX++lKx2NRVFRETybU+d3vftflsvZzPXfu3E6X379/HwoKChCLxdi3bx9Onz6NrKwsKCkpYfr06diyZQuGDx/e84MgIiKifsNkn4iIBpX2qe8ePnwot6y6uhojRoyQKaurq5NJqh8+fAiBQNDlFHo5OTnQ1NSEvb29THlTUxO0tbW7jMve3h6pqamorq6W9sv/ubNnzyIoKAgikUiaAD98+FDuwUJ1dTXGjBkD4HlLhI6tBXpSW/+yaGpqAgBSU1Ohrq4ut1xfXx8AMGrUKERERCA8PBzXr19Hbm4uDhw4gBEjRiA8PLzf4iUiIqKeYzN+IiIaVIyMjKCrq4uTJ0/KlFdVVaGkpATW1tYy5Xl5edLf29ra8NVXX2Hy5MldTn+Xnp6O8PBwmf7m9+/fx3fffQdbW9su4/L19YWSkhJ27NjRaYIeGxuLESNG4M9//jMsLS2hrKwsdwxFRUW4e/eu9BjU1dVRW1uLpqYm6TqXL1/uMobuKCr2/iN9ypQpAIDa2lpMnDhR+lNTU4OYmBjU1dWhuLgYb731Fq5cuQIFBQW88cYbCAkJwfjx47tt6UBEREQDizX7REQ0qCgqKmL16tUICwvDmjVr4OrqitraWmmN+ZIlS2TW37NnD5qammBkZISMjAyUl5cjNTW1y/0HBgZiyZIlCAwMhL+/P+rr6yESiaClpYWAgIAutxMKhYiIiMCGDRvg6+sLHx8f6OnpobKyEikpKaiqqkJycjJUVFSgoqKCZcuWIT4+HkpKSpg2bRpu376NmJgYmJiYSMcZmDZtGtLS0rBhwwbMnz8fN27cQEpKitzUfj2hqamJq1evorCwEBYWFj3axszMDK6urti0aRPu3LmDCRMmoKKiAp988gmEQiEMDQ3x7NkzqKqqYt26dVi5ciV0dHRw4cIFXLt2Df7+/r2Ok4iIiPoHk30iIhp0PDw8oK6ujsTERAQFBUFDQwMODg5YvXq1XBP6iIgIJCYmoqqqCubm5hCLxdIa68786U9/glgsRlxcHEJCQqCoqAgHBwesXbsWr732Wrdxubu74/XXX0dqaiqio6Pxww8/QFdXF9bW1oiLi5OZ2q49MT506BAkEgm0tLQwe/ZsBAcHS/vR29nZITQ0FGlpaTh16hTefPNNiEQi+Pj49PqcBQQEYOfOnVi6dClSUlJ6vN2uXbuQmJiI9PR03Lt3DyNHjsScOXMQHBwMgUAAgUAAsViMqKgo7NixA48ePYKhoSG2bt0KDw+PXsdJRERE/UOhrSej+xAREQ0ymZmZCAsLw9dffw2hUDjQ4RARERENKuyzT0RERERERDTEMNknIiIiIiIiGmLYjJ+IiIiIiIhoiGHNPhEREREREdEQw2SfiIiIiIiIaIhhsk9EREREREQ0xDDZJyIiIiIiIhpimOwTERERERERDTFM9omIiIiIiIiGGCb7REREREREREMMk30iIiIiIiKiIYbJPhEREREREdEQ8393LpFi1YSBYgAAAABJRU5ErkJggg==",
       "text/plain": [
        "<Figure size 1000x600 with 1 Axes>"
       ]
@@ -12586,7 +12661,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 391,
+   "execution_count": 542,
    "metadata": {},
    "outputs": [
     {
@@ -12595,7 +12670,7 @@
        "5788"
       ]
      },
-     "execution_count": 391,
+     "execution_count": 542,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -12609,7 +12684,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 392,
+   "execution_count": 543,
    "metadata": {},
    "outputs": [
     {
@@ -12706,7 +12781,7 @@
        "5             Australia    119"
       ]
      },
-     "execution_count": 392,
+     "execution_count": 543,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -12720,12 +12795,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 393,
+   "execution_count": 544,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x600 with 1 Axes>"
       ]
@@ -12768,7 +12843,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 394,
+   "execution_count": 545,
    "metadata": {},
    "outputs": [
     {
@@ -12874,7 +12949,7 @@
        "[120 rows x 2 columns]"
       ]
      },
-     "execution_count": 394,
+     "execution_count": 545,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -12887,7 +12962,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 395,
+   "execution_count": 546,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -12897,7 +12972,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 396,
+   "execution_count": 547,
    "metadata": {},
    "outputs": [
     {
@@ -12994,7 +13069,7 @@
        "56            Japan  118969.194525"
       ]
      },
-     "execution_count": 396,
+     "execution_count": 547,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -13006,12 +13081,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 397,
+   "execution_count": 548,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x600 with 1 Axes>"
       ]
@@ -13048,42 +13123,38 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 398,
+   "execution_count": 551,
    "metadata": {},
-   "outputs": [
-    {
-     "ename": "FileNotFoundError",
-     "evalue": "[Errno 2] No such file or directory: 'C:\\\\\\\\Users\\\\\\\\ASUS PC\\\\\\\\Downloads\\\\\\\\survey_results_public_2018.csv'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[1;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
-      "Cell \u001b[1;32mIn[398], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m mydf2018 \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mread_csv(\u001b[38;5;124mr\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mC:\u001b[39m\u001b[38;5;130;01m\\\\\u001b[39;00m\u001b[38;5;124mUsers\u001b[39m\u001b[38;5;130;01m\\\\\u001b[39;00m\u001b[38;5;124mASUS PC\u001b[39m\u001b[38;5;130;01m\\\\\u001b[39;00m\u001b[38;5;124mDownloads\u001b[39m\u001b[38;5;130;01m\\\\\u001b[39;00m\u001b[38;5;124msurvey_results_public_2018.csv\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
-      "File \u001b[1;32m~\\anaconda3\\Lib\\site-packages\\pandas\\io\\parsers\\readers.py:948\u001b[0m, in \u001b[0;36mread_csv\u001b[1;34m(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, date_format, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options, dtype_backend)\u001b[0m\n\u001b[0;32m    935\u001b[0m kwds_defaults \u001b[38;5;241m=\u001b[39m _refine_defaults_read(\n\u001b[0;32m    936\u001b[0m     dialect,\n\u001b[0;32m    937\u001b[0m     delimiter,\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    944\u001b[0m     dtype_backend\u001b[38;5;241m=\u001b[39mdtype_backend,\n\u001b[0;32m    945\u001b[0m )\n\u001b[0;32m    946\u001b[0m kwds\u001b[38;5;241m.\u001b[39mupdate(kwds_defaults)\n\u001b[1;32m--> 948\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m _read(filepath_or_buffer, kwds)\n",
-      "File \u001b[1;32m~\\anaconda3\\Lib\\site-packages\\pandas\\io\\parsers\\readers.py:611\u001b[0m, in \u001b[0;36m_read\u001b[1;34m(filepath_or_buffer, kwds)\u001b[0m\n\u001b[0;32m    608\u001b[0m _validate_names(kwds\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnames\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m))\n\u001b[0;32m    610\u001b[0m \u001b[38;5;66;03m# Create the parser.\u001b[39;00m\n\u001b[1;32m--> 611\u001b[0m parser \u001b[38;5;241m=\u001b[39m TextFileReader(filepath_or_buffer, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwds)\n\u001b[0;32m    613\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m chunksize \u001b[38;5;129;01mor\u001b[39;00m iterator:\n\u001b[0;32m    614\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m parser\n",
-      "File \u001b[1;32m~\\anaconda3\\Lib\\site-packages\\pandas\\io\\parsers\\readers.py:1448\u001b[0m, in \u001b[0;36mTextFileReader.__init__\u001b[1;34m(self, f, engine, **kwds)\u001b[0m\n\u001b[0;32m   1445\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moptions[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhas_index_names\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m kwds[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhas_index_names\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n\u001b[0;32m   1447\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles: IOHandles \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m-> 1448\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_engine \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_make_engine(f, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mengine)\n",
-      "File \u001b[1;32m~\\anaconda3\\Lib\\site-packages\\pandas\\io\\parsers\\readers.py:1705\u001b[0m, in \u001b[0;36mTextFileReader._make_engine\u001b[1;34m(self, f, engine)\u001b[0m\n\u001b[0;32m   1703\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m mode:\n\u001b[0;32m   1704\u001b[0m         mode \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m-> 1705\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles \u001b[38;5;241m=\u001b[39m get_handle(\n\u001b[0;32m   1706\u001b[0m     f,\n\u001b[0;32m   1707\u001b[0m     mode,\n\u001b[0;32m   1708\u001b[0m     encoding\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moptions\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mencoding\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m),\n\u001b[0;32m   1709\u001b[0m     compression\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moptions\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcompression\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m),\n\u001b[0;32m   1710\u001b[0m     memory_map\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moptions\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmemory_map\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mFalse\u001b[39;00m),\n\u001b[0;32m   1711\u001b[0m     is_text\u001b[38;5;241m=\u001b[39mis_text,\n\u001b[0;32m   1712\u001b[0m     errors\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moptions\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mencoding_errors\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mstrict\u001b[39m\u001b[38;5;124m\"\u001b[39m),\n\u001b[0;32m   1713\u001b[0m     storage_options\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moptions\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mstorage_options\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m),\n\u001b[0;32m   1714\u001b[0m )\n\u001b[0;32m   1715\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m   1716\u001b[0m f \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles\u001b[38;5;241m.\u001b[39mhandle\n",
-      "File \u001b[1;32m~\\anaconda3\\Lib\\site-packages\\pandas\\io\\common.py:863\u001b[0m, in \u001b[0;36mget_handle\u001b[1;34m(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)\u001b[0m\n\u001b[0;32m    858\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(handle, \u001b[38;5;28mstr\u001b[39m):\n\u001b[0;32m    859\u001b[0m     \u001b[38;5;66;03m# Check whether the filename is to be opened in binary mode.\u001b[39;00m\n\u001b[0;32m    860\u001b[0m     \u001b[38;5;66;03m# Binary mode does not support 'encoding' and 'newline'.\u001b[39;00m\n\u001b[0;32m    861\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m ioargs\u001b[38;5;241m.\u001b[39mencoding \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m ioargs\u001b[38;5;241m.\u001b[39mmode:\n\u001b[0;32m    862\u001b[0m         \u001b[38;5;66;03m# Encoding\u001b[39;00m\n\u001b[1;32m--> 863\u001b[0m         handle \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mopen\u001b[39m(\n\u001b[0;32m    864\u001b[0m             handle,\n\u001b[0;32m    865\u001b[0m             ioargs\u001b[38;5;241m.\u001b[39mmode,\n\u001b[0;32m    866\u001b[0m             encoding\u001b[38;5;241m=\u001b[39mioargs\u001b[38;5;241m.\u001b[39mencoding,\n\u001b[0;32m    867\u001b[0m             errors\u001b[38;5;241m=\u001b[39merrors,\n\u001b[0;32m    868\u001b[0m             newline\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m    869\u001b[0m         )\n\u001b[0;32m    870\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m    871\u001b[0m         \u001b[38;5;66;03m# Binary mode\u001b[39;00m\n\u001b[0;32m    872\u001b[0m         handle \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mopen\u001b[39m(handle, ioargs\u001b[38;5;241m.\u001b[39mmode)\n",
-      "\u001b[1;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'C:\\\\\\\\Users\\\\\\\\ASUS PC\\\\\\\\Downloads\\\\\\\\survey_results_public_2018.csv'"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
-    "mydf2018 = pd.read_csv(r\"C:\\\\Users\\\\ASUS PC\\\\Downloads\\\\survey_results_public_2018.csv\")\n"
+    "mydf2018 = pd.read_csv(r\".\\survey_results_public_2018.csv\")\n"
    ]
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## Most Popular IDE's in 2018"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 552,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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vX5QvX14FhLNnz6Jfv36oXLky9u/fj9WrV+PKlStYtmwZSpUqheTkZLz22mu5plmhQgUAUGEiOTlZvfao8uXLG5TT//yj5bS7HEREREREL6sXOiCICEaPHo3t27fDzs4OvXv3BgA4OjqiSpUq6N69OypVqgQAcHd3x5tvvolFixZh165dcHNzAwCDPgWP0t4TkQKXe9w0HzcNIiIiIqKXwQvVxEhfZmYmBg8ejDVr1sDS0hJz585VHYMbNWqEL774QoUDTadOnQAAR48eBQBUqlQJaWlpuaatvVa5cuXHlgOA9PR0g3L6n8+vHBERERHRy+qFDAipqano3bs3tm3bBjs7OyxZsqRAF99vvfUWgId9FgCgevXqiI2NzVUuJiYGAFT/hOrVqyM1NRVJSUkG5dLT03H//n3VZ6F69eoGn390mlo5IiIiIqKX1QsXEDIzM9GvXz8cOHAAzs7OWLhwYa5w4O/vj4CAgFyfvXr1KgDgww8/BPBwFKKEhATcvHnToFx4eDgAwMLCQpUDkGsUovzKaa9roqOjERsbq8oREREREb2sXriAMGPGDBw8eBCNGzfGzJkzUb58+VxlqlatisOHD+PUqVPqtZycHMyaNQulS5dG8+bNAQBubm4wMjLC8uXLVbns7GysXLkSxsbGsLW1BQA4OTmhYsWKCA4ONphPcHAwKlSogCZNmgAAbGxsYGxsjFWrViErK8ugnJGRkcGTmYmIiIiIXkYvVCflmJgYLFmyBGXKlEGDBg3yfPCYvb09Bg8ejEOHDqF79+7w8/NDtWrV8MsvvyAsLAwDBgzAf//7XwDAxx9/DC8vLyxfvhzJycmwtrZGaGgoTp06halTp6o+DW+88Qb69OmDyZMno2/fvnBycsLBgwexc+dODB48GG+++SaAh89pGDZsGAYNGgR/f394enri3LlzWLduHTp27IhPPvnk2X1ZREREREQl4IUKCCdPnkRmZiYAYMyYMXmWWbBgARo2bIhVq1Zh2rRpCA4ORkZGBj755BNMnDgRrVu3Nig/atQovP322wgJCcH27dtRo0YNzJgxQ41ypOnRo4e6i/D777/jgw8+wOjRo+Ht7W1QrkWLFjAyMsLcuXMxduxYGBsbo3///ujRo0fxfRFERERERM/JCxUQ3N3dcfHixQKV/fTTTzF79uwnlitTpgwCAwMRGBj4xLJ+fn7w8/N7YrnmzZurZkxERERERK+SF64PAhERERERPT8MCEREREREpDAgEBERERGRwoBAREREREQKAwIRERERESkMCEREREREpDAgEBERERGRwoBAREREREQKAwIRERERESkMCEREREREpDAgEBERERGRwoBAREREREQKAwIRERERESkMCEREREREpDAgEBERERGRwoBAREREREQKAwIRERERESkMCEREREREpDAgEBERERGRwoBAREREREQKAwIRERERESkMCEREREREpDAgEBERERGRwoBAREREREQKAwIRERERESkMCEREREREpDAgEBERERGRwoBAREREREQKAwIRERERESkMCEREREREpDAgEBERERGRwoBAREREREQKAwIRERERESkMCEREREREpDAgEBWTrBx5qaZLRERElJcyz3sBiF4VZUoZYfa5eKRnF98FffnSRuhrXq3YpkdERET0JAwIRMUoPVuQwRp/IiIieomxiRERERERESkMCEREREREpDAgEBERERGRwoBAREREREQKAwIRERERESkMCEREREREpDAgEBERERGRwoBAREREREQKAwIRERERESkMCEREREREpDAgEBERERGRwoBAREREREQKAwIRERERESkMCEREREREpDAgEBERERGR8kIGhDNnzqB79+6wtbWFhYUFWrdujc2bNxuUSUtLw48//ghnZ2dYWVnBy8sLR44cyTWt7OxsLFiwAK6urrC0tISnpydCQ0PznO+GDRvg4eEBKysruLm5YeXKlXmW27NnD9q2bQtra2s4Oztj1qxZyMrKeur1JiIiIiJ63l64gHDlyhX4+fnh4sWL6NatG4YOHYqKFSti2LBhWLJkiSr35ZdfYvHixXBxccGwYcOQmZmJbt264cSJEwbTmzhxIn788UfY2NhgxIgRqFatGgYOHIht27YZlFu2bBm+/vprfPjhhxg+fDhMTEwwZswYzJs3z6Dcrl270LdvX1SqVAlDhgyBo6MjZs2ahTFjxpTcl0JERERE9IyUed4L8KiJEyeiVKlSWL9+PYyNjQEAPj4+6NSpE2bMmIEOHTrgzJkz2L17N7766iv4+/sDAFq3bg1PT09MmDABGzduBABcv34dwcHB8PPzw8iRIwEA7du3h4+PD4KCguDq6opy5crhwYMHmDZtGlxcXDB79mwYGRnB29sbAwcOxJw5c9C+fXtUq1YN2dnZ+P7772FmZoYlS5agbNmyAIDXX38dCxcuhI+PD3Q63bP/0oiIiIiIiskLdQchOzsbYWFhcHR0VOEAAEqVKoVmzZohJSUF58+fx88//4yyZcuiQ4cOqkylSpXQrl07hIeH4/r16wCA7du3IycnBz4+Pqpc6dKl4ePjg9jYWISFhQEA9u7di5SUFHTq1AlGRkaqrJ+fH9LS0rB7924AwKlTp3D79m106NBBhQOtnIjk23SJiIiIiOhl8UIFhFKlSmHr1q0YOnRorvfi4+MBPLzAP3fuHGrUqIFKlSoZlDEzMwMAnDt3Tv2/cuXKqFGjxhPLAYC5uXmRyhkbG+Odd95R7xMRERERvaxeqCZGRkZG+PDDD3O9npKSgpCQEFSqVAk1a9ZEdHQ0LC0tc5V79913AQB37twBAERHRxvcicivXExMDCpUqICqVasalCtfvjyqVq1qMD0AeO+99/KcplaOiIiIiOhl9ULdQciLiGDkyJGIjY1F165dUb58eSQnJ6NixYq5ylaoUAEAkJqaCgBITk5WrxWlHPAwJOiX0/98fuWIiIiIiF5WL3RAEBGMHj0a27dvh52dHXr37l2gz+n3I9D/O79yIlLgco+b5uOmQURERET0MnhhA0JmZiYGDx6MNWvWwNLSEnPnzlUdgytVqoS0tLRcn9Feq1y5crGUA4D09HSDcvqfz68cEREREdHL6oUMCKmpqejduze2bdsGOzs7LFmyxODiu3r16oiNjc31uZiYGABQ/Q4KUy41NRVJSUkG5dLT03H//n3VZ6F69eoGn390mlo5IiIiIqKX1QsXEDIzM9GvXz8cOHAAzs7OWLhwYa6aeTMzM0REROSqyQ8PDwcAWFhYqHIJCQm4efPmE8sByDUKUX7ltNc10dHRiI2NVeWIiIiIiF5WL1xAmDFjBg4ePIjGjRtj5syZKF++fK4y7u7uyMjIwJo1a9RrKSkp2LBhAywtLfHRRx8BANzc3GBkZITly5erctnZ2Vi5ciWMjY1ha2sLAHByckLFihURHBxsMJ/g4GBUqFABTZo0AQDY2NjA2NgYq1atQlZWlkE5IyMjeHh4FN8XQURERET0HLxQw5zGxMRgyZIlKFOmDBo0aJDng8fs7e3h6OgIR0dHTJo0CXfv3kWNGjWwbt06REVFISgoSJX9+OOP4eXlheXLlyM5ORnW1tYIDQ3FqVOnMHXqVNWn4Y033kCfPn0wefJk9O3bF05OTjh48CB27tyJwYMH48033wTw8DkNw4YNw6BBg+Dv7w9PT0+cO3cO69atQ8eOHfHJJ588my+KiIiIiKiEvFAB4eTJk8jMzAQAjBkzJs8yCxYswLvvvovp06dj6tSp+Pnnn5GamgqdTodFixapuwKaUaNG4e2330ZISAi2b9+OGjVqYMaMGXBzczMo16NHD3UX4ffff8cHH3yA0aNHw9vb26BcixYtYGRkhLlz52Ls2LEwNjZG//790aNHj2L8JoiIiIiIno8XKiC4u7vj4sWLBSr72muvYeTIkRg5cuRjy5UpUwaBgYEIDAx84jT9/Pzg5+f3xHLNmzdH8+bNC7ScRCUlK0dQplTxD61bUtMlIiKil8MLFRCIqODKlDLC7HPxSM+WYptm+dJG6GterdimR0RERC8fBgSil1h6tiAjp/gCAhEREdELN4oRERERERE9PwwIRERERESkMCAQEREREZHCgEBERERERAoDAhERERERKQwIRERERESkMCAQUYFkldBwqiU1XSIiIioaPgeBiAqED2YjIiL6Z2BAIKIC44PZiIiIXn1sYkRERERERAoDAhERERERKQwIRERERESkMCAQEREREZHCgEBERERERAoDAhERERERKQwIRERERESkMCAQEREREZHCgEBERERERAoDAhERERERKQwIRERERESkMCAQEREREZHCgEBERERERAoDAhERERERKQwIRERERESkMCAQEREREZHCgEBERERERAoDAhERERERKQwIRERERESkMCAQEREREZHCgEBERERERAoDAhERERERKQwIRERERESkMCAQEREREZHCgEBERERERAoDAhERERERKQwIRERERESkMCAQEREREZHCgEBERERERAoDAhERERERKQwIRERERESkMCAQEREREZHCgEBERERERAoDAhERERERKQwIRERERESkMCAQEREREZHCgEBERERERAoDAhERERERKQwIRERERESkMCAQEREREZFSogEhIyMD169fL8lZEBERERFRMSpyQDA1NcXs2bMfW2bWrFlo3759UWdBRERERETPWJmCFjx37hyio6PVv0UEV69exZ49e/Isn5mZiX379iErK+upFnD+/PlYtmwZDh06lOu9KVOmYN68eXl+LiwsDK+//joAIDs7G4sXL8b69esRFRWF//znP+jVqxeaN2+e63MbNmzA0qVLcfPmTbz33nvo3LkzfHx8cpXbs2cPZs+ejatXr+LNN9/EZ599hl69eqFMmQJ/pUREREREL5wCX80mJCSgb9++MDIyAgAYGRkhNDQUoaGh+X5GRPK8CC+o/fv3Y8aMGXjjjTfyfP/SpUv48MMPERgYmOu9ihUrqr8nTpyIZcuWoU2bNrC2tsbOnTsxcOBA5OTkwMPDQ5VbtmwZJkyYgMaNG8PHxwdHjx7FmDFjkJSUhJ49e6pyu3btQmBgIGxtbTFkyBBcvHgRs2bNQkxMDMaMGVPk9SUiIiIiet4KHBAcHBzwzTffID4+HiKC2bNno06dOqhbt26e5cuWLQtjY+MiBQQRwcqVKxEUFITMzMx8y126dAlWVlZo1apVvmWuX7+O4OBg+Pn5YeTIkQCA9u3bw8fHB0FBQXB1dUW5cuXw4MEDTJs2DS4uLpg9ezaMjIzg7e2NgQMHYs6cOWjfvj2qVauG7OxsfP/99zAzM8OSJUtQtmxZAMDrr7+OhQsXwsfHBzqdrtDrTERERET0IihUe5hOnTqpv48fP47PPvsMrVu3Lu5lgpeXF06fPo0GDRrg3r17Bk2bNElJSbhz5w7atm372Glt374dOTk5Bs2ESpcuDR8fHwwePBhhYWFwcHDA3r17kZKSgk6dOqm7JADg5+eH0NBQ7N69Gx06dMCpU6dw+/Zt9OzZU4UDrdyCBQsQGhrKgEBEREREL60id1IODg4ukXAAAHfu3MGYMWOwcOFCvPbaa3mWiYiIgIjg448/BgCkpqYiJycnV7lz586hcuXKqFGjhsHrZmZm6n39/5ubmxepnLGxMd555x31PhERERHRy+ipetTeu3cPv/76K27fvo2MjAyISK4yRkZGGD58eKGmu3fvXpQrV+6xZS5dugQAOHDgACZOnIi7d++iUqVKaNWqFYYNG6b6IERHR8PY2DjX5999910AD8MIAMTExKBChQqoWrWqQbny5cujatWqqpx2N+O9997Lc5paOSIiIiKil1GRA8KFCxfQpUsXPHjwIM9goClKQHhSOAD+FxDOnj2Lfv36oXLlyti/fz9Wr16NK1euYNmyZShVqhSSk5PzvAtRoUIFAA/vPABAcnKyeu1R5cuXNyin//lHy8XHxxdgDYmIiIiIXkxFDghTpkxBQkICOnTogIYNG6JKlSoGbfdLmqOjI6pUqYLu3bujUqVKAAB3d3e8+eabWLRoEXbt2gU3NzcAeOxyae+JSIHLPW6az/I7ICIiIiIqbkUOCCdOnICzs/NzG9azUaNGaNSoUa7XO3XqhEWLFuHo0aNwc3NDpUqVkJaWlquc9lrlypUBIN9yAJCenm5QTvu89nde5YiIiIiIXkZF7qRcqlQp/Pe//y3OZSkWb731FgAgJSUFAFC9enXExsbmKhcTEwMAqn9C9erVkZqaiqSkJINy6enpuH//vuqzUL16dYPPPzpNrRwRERER0cuoyAHB1tYWJ06cKM5lKRR/f38EBATkev3q1asAgA8//BDAw1GIEhIScPPmTYNy4eHhAAALCwtVDkCuUYjyK6e9romOjkZsbKwqR0RERET0MipyQBgyZAiuXbuGcePG5fmcgpJWtWpVHD58GKdOnVKv5eTkYNasWShdurR6QJubmxuMjIywfPlyVS47OxsrV66EsbExbG1tAQBOTk6oWLEigoODDeYTHByMChUqoEmTJgAAGxsbGBsbY9WqVcjKyjIoZ2RkZPBkZiIiIiKil02R+yB89913eOONN7By5UqsXLkS5cuXz3P0ISMjIxw7duypFjIvgwcPxqFDh9C9e3f4+fmhWrVq+OWXXxAWFoYBAwao5k8ff/wxvLy8sHz5ciQnJ8Pa2hqhoaE4deoUpk6dqh529sYbb6BPnz6YPHky+vbtCycnJxw8eBA7d+7E4MGD8eabbwJ42LRq2LBhGDRoEPz9/eHp6Ylz585h3bp16NixIz755JNiX1eif6KsHEGZUsXf6b+kpktERPSqKHJAuHXrFgDgX//6V7EtTGF88MEHWLVqFaZNm4bg4GBkZGTgk08+wcSJE3M9wG3UqFF4++23ERISgu3bt6NGjRqYMWOGGuVI06NHD3UX4ffff8cHH3yA0aNHw9vb26BcixYtYGRkhLlz52Ls2LEwNjZG//790aNHj5JebaJ/jDKljDD7XDzSs/MfRrmwypc2Ql/zasU2PSIioldRkQPC3r17i3M58vVokx99n376KWbPnv3EaZQpUwaBgYEIDAx8Ylk/Pz/4+fk9sVzz5s1VMyYiKhnp2YKMnOILCERERPRkRe6DQEREREREr54i30HYs2dPgcu6uLgUdTZERERERPQMFTkg9O3bt8BPDT5//nxRZ0NE9EywUzQREdFDxR4QUlNTERkZif3798PKygpdunR5qgUkInoW2CmaiIjooSIHhCd1+P3rr7/QqVMnJCYmFnUWRETPFDtFExERlWAn5Zo1a8Ld3R2LFy8uqVkQEREREVExK9FRjN58803cuHGjJGdBRERERETFqMQCQnx8PH755Re88847JTULIiIiIiIqZkXug9CvX788X8/JyUFqairOnDmDlJQU9O3bt8gLR0REREREz1aRA8Lu3bsf+/4bb7wBf39/9O7du6izICIiIiKiZ6zYH5RmZGSEsmXL4q233kKpUnxQMxERERHRy6TIAeH9998vzuUgIvpH4YPZiIjoRVXkgKA5ceIEQkJCcPHiRaSmpqJq1ar49NNP4enpCVtb2+JYRiKiVw4fzEZERC+qpwoIkydPxsKFCyHy8ARXsWJFXL9+HadOncL69evRo0cPDBw4sFgWlIjoVcMHsxER0YuoyJ0EQkNDsWDBAnzyySeYN28eTpw4gVOnTuH06dNYvHgxdDod5s+f/8TOzERERERE9OIockBYvnw53nnnHSxfvhyNGjVC5cqVAQDlypVD/fr1sXjxYrz99tsIDg4utoUlIiIiIqKSVeSAcPHiRTg7O+PNN9/M8/1q1arB2dkZ58+fL/LCERERERHRs1Xi45BmZmaW9CyIiIiIiKiYFDkg6HQ6/Pbbb7h//36e78fHx2Pv3r3Q6XRFnQURERERET1jRQ4InTt3RmxsLD7//HMcP34cWVlZAICkpCTs378f/v7+iIuLg6+vb7EtLBERERERlawiD3PavHlznD17FkuWLEGXLl1QqlQplCtXDmlpaQAAEUHXrl3h4eFRbAtLREREREQl66megzBs2DC4uLhg48aNuHDhApKTk/Haa6/BxMQEbdu25YPSiIiIiIheMk/9JGVbW1sGASIiIiKiV0SR+iBcvXoV9+7dy/O9GTNm4I8//niqhSIiIiIiouejUAEhIyMDAwcOhIeHB/bv35/r/djYWMyZMwe+vr7o27cvkpKSim1BiYiIiIio5BU4IGRnZ6Nbt27YsWMH3nvvvTwfkFaxYkUMHjwYH330Efbs2YNevXpBRIp1gYmIiIiIqOQUOCCsWbMGx48fh6enJ3799Vc0atQoV5nKlSujW7du2LJlC1xcXPDHH39gw4YNxbrARERERERUcgocEH7++WdUr14d48ePR5kyj+/bXKFCBUycOBFvvvkmNm/e/LTLSEREREREz0iBA8Lly5fRoEEDlC1btkDlK1euDAcHB1y8eLHIC0dERERERM9WofogVKlSpVATNzY2Vk9YJiIiIiKiF1+BA8K//vUvREZGFmrikZGRMDY2LvRCERERERHR81HggFCnTh38/vvviI2NLVD52NhY7Nu3DzqdrsgLR0REREREz1aBA0LHjh2RkZGB/v37P/H5BklJSQgMDERmZiY6duz41AtJRERERETPRoEDQs2aNdGrVy+cOnUK7u7umDt3Ls6cOYPExETk5OTg3r17OH36NGbPng1XV1f8+eefaNu2LerXr1+Sy09ERERERMXo8eOVPqJ///4oW7Ys5syZgxkzZmDGjBm5yogIypYti+7du2PgwIHFtqBERERERFTyChUQjIyM0KdPHzRv3hybNm3CgQMHEB0djQcPHqBq1ar48MMP4ejoCA8PD3z44YcltcxERERERFRCChUQNP/5z38wcOBA3iEgIiIiInrFFLgPAhERERERvfoYEIiIiIiISGFAICIiIiIihQGBiIiIiIgUBgQiIiIiIlIYEIiIiIiISGFAICIiIiIihQGBiIiIiIgUBgQiIiIiIlIYEIiIiIiISGFAICIiIiIihQGBiIiIiIgUBgQiIiIiIlIYEIiIiIiISGFAICIiIiIihQGBiIiIiIiUFz4gzJ8/Hw4ODnm+l5aWhh9//BHOzs6wsrKCl5cXjhw5kqtcdnY2FixYAFdXV1haWsLT0xOhoaF5TnPDhg3w8PCAlZUV3NzcsHLlyjzL7dmzB23btoW1tTWcnZ0xa9YsZGVlFX1FiYiIiIheAC90QNi/fz9mzJiR7/tffvklFi9eDBcXFwwbNgyZmZno1q0bTpw4YVBu4sSJ+PHHH2FjY4MRI0agWrVqGDhwILZt22ZQbtmyZfj666/x4YcfYvjw4TAxMcGYMWMwb948g3K7du1C3759UalSJQwZMgSOjo6YNWsWxowZU3wrT0RERET0HJR53guQFxHBypUrERQUhMzMzDzLHDlyBLt378ZXX30Ff39/AEDr1q3h6emJCRMmYOPGjQCA69evIzg4GH5+fhg5ciQAoH379vDx8UFQUBBcXV1Rrlw5PHjwANOmTYOLiwtmz54NIyMjeHt7Y+DAgZgzZw7at2+PatWqITs7G99//z3MzMywZMkSlC1bFgDw+uuvY+HChfDx8YFOpyv5L4mIiIiIqAS8kHcQvLy8MHbsWNStWxdmZmZ5lvn5559RtmxZdOjQQb1WqVIltGvXDuHh4bh+/ToAYPv27cjJyYGPj48qV7p0afj4+CA2NhZhYWEAgL179yIlJQWdOnWCkZGRKuvn54e0tDTs3r0bAHDq1Cncvn0bHTp0UOFAKyci+TZdIiIiIiJ6GbyQAeHOnTsYM2YMFi5ciNdeey3PMufOnUONGjVQqVIlg9e1QHHu3Dn1/8qVK6NGjRpPLAcA5ubmRSpnbGyMd955R71PRERERPQyeiGbGO3duxflypV7bJno6GhYWlrmev3dd98F8DBkaOWMjY2fWC4mJgYVKlRA1apVDcqVL18eVatWNZgeALz33nt5TlMrR0RERET0Mnoh7yA8KRwAQHJyMipWrJjr9QoVKgAAUlNTVTnttaKUAx6GBP1y+p/PrxwRERER0cvohQwIxUG/H4H+3/mVE5ECl3vcNB83DSIiIiKiF91LGxAqVaqEtLS0XK9rr1WuXLlYygFAenq6QTn9z+dXjoiIiIjoZfTSBoTq1asjNjY21+sxMTEAoPodFKZcamoqkpKSDMqlp6fj/v37qs9C9erVDT7/6DS1ckREREREL6OXNiCYmZkhIiIiV01+eHg4AMDCwkKVS0hIwM2bN59YDkCuUYjyK6e9romOjkZsbKwqR0RERET0MnppA4K7uzsyMjKwZs0a9VpKSgo2bNgAS0tLfPTRRwAANzc3GBkZYfny5apcdnY2Vq5cCWNjY9ja2gIAnJycULFiRQQHBxvMJzg4GBUqVECTJk0AADY2NjA2NsaqVauQlZVlUM7IyAgeHh4lts5ERERERCXthRzmtCAcHR3h6OiISZMm4e7du6hRowbWrVuHqKgoBAUFqXIff/wxvLy8sHz5ciQnJ8Pa2hqhoaE4deoUpk6dqh529sYbb6BPnz6YPHky+vbtCycnJxw8eBA7d+7E4MGD8eabbwIASpUqhWHDhmHQoEHw9/eHp6cnzp07h3Xr1qFjx4745JNPnsv3QURERERUHF7agAAA06dPx9SpU/Hzzz8jNTUVOp0OixYtUncFNKNGjcLbb7+NkJAQbN++HTVq1MCMGTPg5uZmUK5Hjx7qLsLvv/+ODz74AKNHj4a3t7dBuRYtWsDIyAhz587F2LFjYWxsjP79+6NHjx4lvs5ERERERCXphQ8Ijzb50ffaa69h5MiRGDly5GOnUaZMGQQGBiIwMPCJ8/Pz84Ofn98TyzVv3hzNmzd/YjkiIiIiopfJS9sHgYiIiIiIih8DAhERERERKQwIRERERESkMCAQEREREZHCgEBE9A+QlSMv1XSJiOj5eeFHMSIioqdXppQRZp+LR3p28V3Qly9thL7m1YptekRE9GJgQCAi+odIzxZksMafiIiegE2MiIiIiIhIYUAgIiIiIiKFAYGIiIiIiBQGBCIiIiIiUhgQiIiIiIhIYUAgIiIiIiKFAYGIiIiIiBQGBCIiIiIiUhgQiIiIiIhIYUAgIiIiIiKFAYGIiIiIiBQGBCIiKnZZOfJSTZeIiP6nzPNeACIievWUKWWE2efikZ5dfBf05Usboa95tWKbHhER5Y0BgYiISkR6tiCDNf5ERC8dNjEiIiIiIiKFAYGIiIiIiBQGBCIiIiIiUhgQiIiIiIhIYUAgIiIiIiKFAYGIiIiIiBQGBCIiIiIiUhgQiIiIiIhIYUAgIiIiIiKFAYGIiIiIiBQGBCIiIiIiUhgQiIiIiIhIYUAgIiIiIiKFAYGIiIiIiBQGBCIieull5chLNV0iohdZmee9AERERE+rTCkjzD4Xj/Ts4rugL1/aCH3NqxXb9IiIXhYMCERE9EpIzxZksMafiOipsYkREREREREpDAhERERERKQwIBARERERkcKAQERERERECgMCEREREREpDAhERESFxOcuENGrjMOcEhERFRKfu0BErzIGBCIioiLgcxeI6FXFJkZERERERKQwIBARERERkcKAQERERERECgMCEREREREpDAhERERERKQwIBAREb3ASvLZCHzuAhHlhcOcEhERvcBK4pkLAJ+7QET5e+kDQseOHXHq1Klcr5uYmGDLli0AgHv37mHq1KnYu3cvkpOTYWVlhaFDh6JmzZoGn0lLS8OsWbOwfft2xMfHw8TEBAMGDIC9vb1BuezsbCxevBjr169HVFQU/vOf/6BXr15o3rx5ya0oERH9Y/GZC0T0LL30AeHSpUtwcnLKdXFetWpVAEBGRgZ69uyJixcvwt/fH2+//TaCg4Ph6+uLkJAQ1KhRQ33myy+/xG+//YZOnTrhv//9LzZs2IBu3bph2bJlsLW1VeUmTpyIZcuWoU2bNrC2tsbOnTsxcOBA5OTkwMPD45msNxERERFRSXipA8Lt27eRnJwMJycntGrVKs8yW7ZswenTpzFr1iw0bdoUAODu7o5mzZph6tSpmDFjBgDgyJEj2L17N7766iv4+/sDAFq3bg1PT09MmDABGzduBABcv34dwcHB8PPzw8iRIwEA7du3h4+PD4KCguDq6opy5cqV8JoTEREREZWMl7qT8qVLlwAAH3/8cb5ltm3bhnfffVeFAwB455130KxZM9XkCAB+/vlnlC1bFh06dFDlKlWqhHbt2iE8PBzXr18HAGzfvh05OTnw8fFR5UqXLg0fHx/ExsYiLCysOFeRiIiIiOiZeqkDwuXLlwEAn3zyCQCoi3194eHhMDMzy/W6mZkZMjMzVcg4d+4catSogUqVKuUqp72v/b9y5coGTZPyKkdERERE9DJ6qQPCxYsXUb58eUyfPh21a9eGjY0NHB0dsXz5cgAPA0NiYiLee++9XJ999913AQB3794FAERHRz+23J07d1Q5Y2PjJ5YjIiIiInoZvdR9EC5fvoz09HRER0djwoQJSE1Nxfr16zF+/Hjcv38fHTt2BABUrFgx12crVKgAAEhJSQHwMEw8rlxqaqoq99prrz2xHBERERHRy+ilDgheXl7Izs5G586d1Wuenp7w9vbG/Pnz4eXl9cRpGBkZFWhe+uUe95mCTo+IiIiI6EX0Ujcx8vHxMQgHAFCqVCl4eXkhMzMThw8fBvDw+QaP0l6rXLkygIcdkouzHBERERHRy+ilDgj5eeuttwAAOTk5eP311xEbG5urTExMDACo/gTVq1cv1nJERERERC+jlzYg3LlzBy1atMD06dNzvXf16lUAwIcffggzMzOEh4fnKhMeHo4yZcrA1NQUwMNRiCIiInLdHdA+a2FhocolJCTg5s2bjy1HRERERPQyemkDwr/+9S8kJCRg/fr1SEhIUK8nJCRg6dKleP/992FjYwN3d3fcuXMHu3fvVmViY2OxY8cONG3aFOXLlwfw8OFpGRkZWLNmjSqXkpKCDRs2wNLSEh999BEAwM3NDUZGRmqkJADIzs7GypUrYWxsbPDEZSIiIiKil81L20nZyMgI3377Lfr164cOHTrA29sbGRkZWLt2LeLi4rBgwQKUKVMGn332GVatWoXBgwcjICAA1apVw/Lly2FkZIT+/fur6Tk6OsLR0RGTJk3C3bt3UaNGDaxbtw5RUVEICgpS5T7++GN4eXlh+fLlSE5OhrW1NUJDQ3Hq1ClMnToVZcuWfR5fBxERERFRsXhpAwIANG3aFHPnzsX8+fMxZcoUlClTBrVq1cKUKVNgZWUFAChbtiyWLFmCH374AStWrEB2djasrKwwffp0/Pe//zWY3vTp0zF16lT8/PPPSE1NhU6nw6JFi3LdFRg1ahTefvtthISEYPv27ahRowZmzJgBNze3Z7buREREREQl4aUOCADQuHFjNG7c+LFl3nrrLUycOPGJ03rttdcwcuRIjBw58rHlypQpg8DAQAQGBhZqWYmIiIiIXnQvbR8EIiIiIiIqfgwIRERERESkMCAQEREREZHCgEBERERERAoDAhERERERKQwIRERERESkMCAQEREREZHCgEBERERERAoDAhERERERKQwIRERERESkMCAQEREREZHCgEBERERERAoDAhERERERKQwIRERERESkMCAQEREREZHCgEBERERERAoDAhERERERKQwIREREpGTlyEs5bSIqPmWe9wIQERHRi6NMKSPMPheP9OzivZgvX9oIfc2rFes0iahkMCAQERGRgfRsQQZr+4n+sdjEiIiIiIiIFAYEIiIiIiJSGBCIiIiIiEhhQCAiIiIiIoUBgYiIiIiIFAYEIiIiem743AWiFw+HOSUiIqLnhs9dIHrxMCAQERHRc8XnLhC9WNjEiIiIiIiIFAYEIiIiIiJSGBCIiIiIiEhhQCAiIiIiIoUBgYiIiIiIFAYEIiIiIiJSGBCIiIiIiEhhQCAiIiIiIoUBgYiIiIiIFAYEIiIiIiJSGBCIiIiIiEhhQCAiIiIiIoUBgYiIiIiIFAYEIiIiIiJSGBCIiIjoHyMrR17KaRM9S2We9wIQERERPStlShlh9rl4pGcX78V8+dJG6GterVinSfS8MCAQERHRP0p6tiCDtf1E+WITIyIiIiIiUhgQiIiIiIhIYUAgIiIiIiKFAYGIiIiohHDUJHoZsZMyERERUQnhqEn0MmJAICIiIipBHDWJXjZsYkRERERERAoDAhEREdErgn0eqDiwiVER3blzB5MmTcKRI0eQmZmJevXqYfjw4fjwww+f96IRERHRP9Sz7vOQlSMoU8qoWOdVktOlgmFAKIL79++jc+fOSEpKQpcuXVCuXDksXrwYPj4+2Lx5M6pVY6chIiIiej6eZZ+Hkggk7ID9/DEgFMHSpUtx69YtbNiwAebm5gAAR0dHtG7dGgsWLMCwYcOe8xISERERPRvPMpDwjsWzwYBQBNu2bYO1tbUKBwDwf//3f6hXrx62bdvGgEBERERUAnjH4tlgJ+VCSkhIwM2bNw3CgcbMzAwxMTGIiYl5DktGRERE9OrT7lgU13+PCxsl1TH7Re/wzTsIhRQdHQ0AMDY2zvXeu+++CwC4e/eu+vtJ0tPTAQBXrlwppiUsnIQbD5BRzB2ZypU2QniZ1zm/Ep4X58f5cX7/nPm97Mcyzo/zK655PY/5bbr6AJnF+HWWNQLa/Df/+ZUk7XpTu/7MDwNCISUnJwMAKlasmOu9ChUqAABSUlIKPL1bt24BAIYMGVIMS/fiWMP5vZTz4vw4P86P8+P8OL8XYX6v8roBQPAznt+jbt26BRsbm3zfZ0AoJJGHEdLIKP+OLI9771ENGjTApEmT8MEHH6B8+fJPvXxERERERHlJT0/HrVu30KBBg8eWY0AopEqVKgEAUlNTc72XlpYGAKhcuXKBp1etWjV4enoWz8IRERERET3G4+4caNhJuZDef/99AEBsbGyu97TOyXn1TyAiIiIiehkwIBRSlSpV8NFHHyE8PDzXe+Hh4XjvvffwzjvvPIclIyIiIiJ6egwIReDu7o4//vjDICRcunQJR48ehYeHx3NcMiIiIiKip2MkWq9bKrD79++jZcuWyMzMxOeff45SpUphyZIlKFu2LEJCQlCtGh+2QUREREQvJwaEIrp58ya+//57HDlyBOXKlYOdnR2GDh2KDz/88HkvGhERERFRkTEgEBERERGRwj4IRERERESkMCAQEREREZHCgEBERERERAoDAhERERERKQwIRE8pJyfneS9CieI4BkTPz6t+fCEqKJ6Lni0GBKIiWrVqFQ4ePIhSpR7uRq/qidzIyOiVXTeiF1l2drY6vsTFxT3npSF6Pvbs2YPExEQYGRkxJDxDDAjEHa4IMjIycPDgQXTr1g2XLl1CfHw85syZg7S0tOe9aMWmb9+++P777wEApUqVYkgoBtzXqKBEBKVLlwYABAQEYNKkSc95iYievUmTJqFv375Yv349kpKSnllI0J/HP/Xcx4DwD5KdnQ3g4cVtWloa4uPjATysIS4pr+oFUbly5dC6dWt89NFHaNu2LRo2bIi7d+8iKSmpxOaZ10GqpA5cf//9N/bs2YNly5Zh1qxZAJ5NSHhVtxfg4f5nZGSEe/fu4eLFi7h9+7baJ+npvUrbjratAMDy5ctx+fJl/Pe//0VycvJzXjKi/9Hf50pq//Px8YGlpSVmz56NtWvXPpOQoL//5eTk4N69ewBerWNMQZR53gtAz0Z2djZKly6N69evY+7cufjrr7+QlZWF//znP+jRowc+/fRTVK5cuUTmGR8fj4iICERFReGNN95A7dq1i31ez5KIwMjICK6urrh9+zYmTpyIUqVKwdraGm+//XaJzFP7LuPi4hAbG4vMzExYWFio5gfFKScnB2+//TZ27dqFTp06YdasWcjJyUH//v1VSCiJ+WrrmJaWhpSUFKSkpKBSpUqoVq1asc9Lo/2WT3rtaeXk5KB06dK4cuUKhg4dilu3bqFq1apo0aIFevXqhXLlyhXr/ID/fZ/6SmLdAOS7TZTU/ADD7aV8+fLIyspC2bJlS2ReQMmuy6O0323ZsmX47bffYGtri86dO6NChQolNs9ntS9oHnccKe755rUvlNS8njTNkpiftn7p6elITU1F5cqVUaZMmRKbn/bb6U9X+7u451e9enXMmDEDffv2VZVVHTp0QJUqVUr0uwSAyZMnIywsDBERETA1NYWzszM6dOjwUl+/FAafpPyK0t9xtL+vXLkCHx8fVKtWDSYmJihfvjyOHj2KlJQUDBo0CG3bti22E6x2AImIiMCXX36JO3fuIDExEQBgY2ODdu3aoW3btsUyL/356Z90Hj0BFdfBRDuAiAgGDx6M69evIy4uDn///TcWL14MOzu7Yr2I1pY7IiIC/fv3x507d5CWlgZ/f38MHjxYnQiKk7aOkZGR8Pb2RlxcHPr06YP+/fsDePzJ/Wnmd/XqVUycOBEXLlzAvXv38Prrr6NHjx5wc3ODsbFxsc1Pf54aLZBoivvkExMTg06dOqFq1aqwtrbGkSNHcPXqVXz22WcYNWoUypcvX2zz0l+348ePIzExEXZ2dqhcuXKJnVDv3r2LgwcP4sKFC6hSpQrq1auHevXqFeu8NNr2d/36dUybNg0JCQkwMTFBq1atYGJiUuzz06/suHHjBuLi4kq0QgAADh8+jICAAJQpUwaenp6YMGECgOLf94D/rd+DBw+QkJCg1q+kaPP7+++/ER4ejitXruCjjz7CBx98oH6/4tr/srKy1DHyjz/+wN27d1GhQgW8//77MDU1LdZ5AYbbypUrVxATE4O33noLNjY2qiKgJOan7Qvnz5/Hv//9b3z22Wdo0qSJOlcV9/yio6Nx8OBBXL58GW+//TZMTU1Rv3591WetuLZR7feLjo5GYGAgoqKi4OfnB29vb1SuXLlY101/Wj179sSZM2dgbW2NTz/9FIcOHUJ4eDjq16+PuXPnFuvx+kXFOwivKP2d1MjICElJSRg9ejQ+/fRTDB48GFZWVgCAoUOHYseOHXj77beRnp5ebAGhVKlSuHnzJrp06YL//Oc/GDx4MP7973/jr7/+wsKFCzFx4kRkZmbCy8ur2OYXHh6Obdu2oUePHnjzzTfVAWrLli1o0qQJXnvttWKZV+nSpXHp0iUcPHgQo0aNQlZWFsLCwjBlyhQEBARgwYIFsLe3f2ytVWEYGRkhPj4eX3zxBd566y00bdoUFy9exNKlS3Hv3j18++23Bhe2xaF06dLIzs7GRx99hNWrV8Pb2xtz5swBgGK5k/BogNXCgbe3N/71r3+hSZMmqFChAo4ePYrvv/8eFy9eRK9evfDhhx8Wy/rp/zZz587Fn3/+iaioKHz00Ufw9vaGmZkZ3njjjaeej/53FBsbi3feeQfDhw+HlZUV0tLS0KdPH2zcuBEAii0k6Ldd79evH/bt24esrCz897//RWBgIBo1alRs24t2Z+Ty5cvo3r070tPTATw8qc+fPx++vr7w8/Mrtt9NU6pUKdy4cQOdOnVC6dKlUbFiRRw5cgTHjh3D119/jdq1axfbvLRtRavsuHXrFpKTk9GqVSuMGjWqxGoT69evjx9++AHffPMNNm7ciPr168PDwwOlSpUqkQu+K1euYNSoUbh27Rru3buHfv36oVevXsVeAaFtMxERERg4cCCioqJU5dEHH3wAHx8fdO3aVTUjeZr1zMnJUcs/cOBAHD16VDUXee+999CsWTMMGzas2L5L/XUbNGgQoqOjkZSUhOzsbDg5OcHDwwMeHh7FPr/Lly/Dz88P5cuXxzvvvIPTp08jIiICKSkpaNmyJcqUKVMs24z+/Pr06YMHDx4gPT1d3b1r0aIFxowZU2x3mrOzs1GmTBlcu3YNv/zyC6pUqYIzZ85gxYoVKFWqFLy8vJ4qJDz6Oe3vBQsWIDw8HF999RVcXFzw2muvwd7eHl27dsX//d//ISEhAe+8884zu6P43Ai9UoYPHy5Lly5V/87OzhYRkZiYGLG3t5f58+er9yZOnChmZmaybt06uX37tqxZs0Zu3rwpIiI5OTkFnue5c+fyfP37778XZ2dnOXnypMHrFy5cEHt7e2ncuLGEhYUVeD6Pk5OTI0uXLhWdTifjx4+XBw8eiIjIt99+K3Xr1pU///yzWOaTnZ0tGRkZ0rZtW3FzczN4b/v27eLi4iJmZmZy6NAhtVyF+S4fnZcmIiJCWrRoIcePHxcRkbt378r48eNFp9PJ0KFDJTk5uYhrlPf8NFlZWSIicuPGDalfv77odDqZPn26er8o65aYmJjrtZSUFOnRo4e0bt1azpw5o16/ceOGBAUFiYmJiQQFBT3V95nXMnfv3l3q1KkjPj4+EhgYKC4uLmJtbS3jxo3LczkLQ/vu4uLi5PLlyxIUFCQdOnQwKPPgwQPp2rWrmJqaytdffy1paWlPNU9906ZNE2dnZ5k3b54sXrxYWrZsKfXr15eNGzc+1fby6HYSFRUlTZs2lYCAANm/f7+IPNxeGzduLPXq1ZOzZ8+q76I4aL/fggULxM/PT06fPq3+bW5uLp6ennLixIlim5+IyPXr16V+/fry+eefy6pVq+TAgQMSERGRq1xe+1BBPO772bx5s1hbW0ujRo1k165d6vWn3Q/0p3H16lWpW7eu+Pn5yZQpU2T+/Ply4cKFfMs/rZs3b4qDg4P4+vrKpk2b5OzZs7J582Zp1KiRmJqaypw5c4plPpoBAwZI/fr1ZcmSJXLhwgX566+/xM3NTXQ6nYSGhhbrvCIjI6V+/fri6+srGzZskDNnzsj69etFp9OJv7+/3Lhxo1jnd/fuXXF1dZWAgAAJCwuTjIwMOX78uJiZmUnr1q1l48aNavsqyu/36Gfu3LkjTk5O4ufnJ7t375Zbt27J2bNnpVOnTqLT6WTQoEFqPyiO7UXbNlu3bi0jRoyQb775Rtzc3MTKykoWLVqkjtOFndfatWvlu+++k8zMzFzv9evXT7y9vdV1xMGDB8Xa2loGDRok169fl507d8r69euL9bj2ImJAeIWcP39edDqd1K9fX9atW6dez8nJUe9pF65BQUFiZmYma9eulZSUFDl9+rTodDr58ccfCzXPwMBAcXd3l7i4OIPXc3JyxNvbWzp27GjwmnbgCAsLEzMzMxk7dmxRVzeX5ORkWbx4sZiamsr3338vI0aMEAsLC9m6daukp6cX23xERL755htxcHCQv//+2+B1LSSYm5vL4cOHJSIiQoKDg9WBpqC0A09sbKwcP35cli1bJp07dzYoc/v27WIJCVOmTJHo6OgnLot+SJg5c6Z6vzAHZh8fH5kyZYpkZGQYvB4TEyONGjWSCRMm5PpMTEyMjBw5UnQ6nRw7dqzA83qSadOmiYODg2zbtk1SU1NFRCQ0NFStX1xcXJFPcNrnLl++LK6urmJjYyPW1tbSsmVLuX79umRnZ6vvVT8kjBo1qsgh4dGT1aBBg2TSpEnq32fOnJHWrVuLvb19kULCunXr1Pau/73s3r1b6tWrJ3v27FEn2x9++EGsrKxk3bp1EhkZKefPny/SOunT1i81NVVycnJk+PDhuY4fCxcuLPaQkJ6eLl9//bU0a9YsV3jdunWrjB07VpYsWaJeL+w2o3+B8uuvv8qCBQvkp59+ku3bt6vXN27cKDY2NtK4cWPZvXt3keeVl6SkJOnZs6d07NhRzp49q16Pi4uTgwcPyqJFi+Tw4cNFuhh6tGJGW97JkyeLs7Nzrgqi06dPS6tWrcTa2tpg/Z9GWFiYODk5ydKlSyUpKUlEHp4rraysZOzYsRIRESG3bt0q9HTzC4M//vijuLq6GlSMTZ06VczMzGTz5s1y586dXOfLglixYoXcvn071/yDg4PFzc3N4Ng4ZcoUsbS0FHt7e3F0dJSQkBC1nRU0xD7622i/3ZIlS8TBwUEOHjxo8H5cXJz07t1bdDqd/PTTT4Vev0fl5ORIenq6DBw4UDw8PFRFgMjDSiZfX1+xtLSUhQsXFjokPHjwQL744gvR6XTyww8/qO8mKytLUlNTxcPDQ4YPHy4iD8OBlZWVDB48WP7++2/JysoSPz8/8fDweOp1fNExILxiDh8+LA0bNpR69erJ2rVr1etajc3XX38tY8aMkZo1a8qaNWskJSVFRB7WAtasWVOmTp1aqPlt3rxZfv/9d3WBpcnKyhJvb29p2bKl2vm0nTczM1NSUlKkXbt20rx5c4mPjy+2mqn09HRZunSpmJiYSM2aNWXt2rV51hAURl4nxsWLF4tOp5OrV6/mKhMaGiqurq5iYmIiDg4O0rBhQ7lz506B56d/cdm4cWMxMzMTnU6X5wXy7du3ZcKECaLT6WT48OGFrvWeP3++1K9fXx188/sdHg0JZmZmsmLFikLNS0Skb9++8uuvv+YKCBEREWJubi5TpkxRr+kvy+HDh0Wn08nkyZMLPc/8dO3aVXr06CH3799X87C2tpbBgwfLjRs3ZN++feokWZSa4djYWHF1dZWOHTvK6NGjxcfHR3Q6nYwZM0atv35I6Natm+h0uiKF5ke3v507d0rr1q1lx44dBst/7ty5IoWEmTNnqmWLj48Xkf/9PrNnzxYrKytVNigoSO17iYmJsnLlSrG2tpaLFy8Wer002vJfuXJF/P39xc/PT2xsbGT8+PEiIgbbk35IePTuZVGkp6eLt7e39OzZU722Zs0aVQOt/Tdq1KhCT1t/u+rTp4/UqVNHrK2txdzcXMzMzMTHx0fu3bsnIiKbNm1SIWHPnj1PvV6a5ORkadKkiYwePVq9tmnTJmnfvr1aNzs7O1mzZk2hpjty5Ehp0qRJrkoUEZGAgADx8PAw2A+07enkyZNiZmYmgwYNEpGnD0Hbt2+XmjVrqjvdhw8fFktLSxk4cKBER0fLnj17xMvLq9CB8sqVK2r59Zexa9eu0qVLF/Vv7U69tj/MnDnT4LsuiE2bNolOp5Ovv/5aoqKiDN4bMWKENGrUSIWfTZs2Se3atWXHjh1y+fJlsbOzk+bNm8u6desKXFEWFBQkOp1Otm7dql7TttUhQ4aIg4ODqvTSr/i7f/++ODs7i5eXV65jfFF5eHhIr1691L/1v3MvLy+xtbWVBQsWGCxPQVy+fFm++uor0el0EhQUZHCdMGLECLG3t5fQ0FB150C/Eq1nz57SoEGDp77L/KLjMKevCHkY9mBvb4+goCCUKVMG06dPx5o1awA8bNvZoEEDbNiwAWvWrMGQIUPg5eWFihUrAgD++usvVK5cGe+//76a3uOcPHkSANCqVSvUrVsXFSpUwPXr13H8+HEAD9vy/fvf/8alS5ewbds2ZGVlwcjISHU4qlixIsqXL4+qVavizTffLJa2kcDD4UevXLmC0qVLIycnBxcuXHiqZxPI/2/PHRkZiTVr1uDw4cNIT0+Hra0typYti3PnzgH4X5t9AGjWrBkGDhyIzz77DB9//DEWLlyIf/3rXwWen5GRERISEtC3b1+8//776Nq1q+qrERwcjIsXL6ry1atXR5cuXdC1a1ds2rQJkyZNKtRQbN27d8f8+fPx6aefAvjf9/jocKb6fRJWrFiBKlWqYMOGDbh//36B5qMNqTtr1iw4OjqibNmyiIuLQ0JCAgCgSpUqqFKlCk6cOIG///4bANT2AgD29vaoUKGCauP+NEQEiYmJOH/+PP7v//4Pb7zxBo4cOYLevXvDxcUFQ4cOxRtvvIHp06dj5syZAFDgtrTad5+SkoKzZ8/itddew7Bhw/Dtt9/iu+++Q9u2bbFy5Ur8+OOPyMzMVN9rlSpVMHnyZDRp0gTe3t6FXietz0GfPn0wePBgfPHFFzh//jwOHz5ssPxmZmYYN24cjI2NMWXKFOzYsaNAQ2f269cPDg4OWLFiBWbNmoV79+6pfVbrqPvnn3/ihx9+wPLly/HNN9/A09MTlStXRkZGBlJTU5GSklLo9dJofZo6deqEyMhIREdHQ0Swe/duXLhwAWXLllX73+eff44BAwYgMjISgwYNwunTpws9P+131P5fvXp11eeoY8eO+Pbbb5GTk4NRo0Zh3759sLW1xR9//FHoh5lpv8vw4cPx559/YsiQIfjll19w4sQJNGzYECdOnMC2bdsgImjdujW+/vpr1Z9s586dhV6vvCQmJqJUqVI4e/Ys5s6di8DAQAwfPhy3bt3CF198gSVLlqB8+fLYu3dvoabbtGlTjBs3Lt/+Lvr9A4yMjGBkZITMzEzUqlULLi4uOHz4cIGPL4+TlpaGcuXK4d1338Wff/6JXr16oWnTphg+fDjeffddlC5dGn/++WehhqgOCwtD//79ceTIEQBQxzEAKFOmDDIyMgAAU6dOVfuDh4cHKlasiD///BNbt25FfHx8gY/VdnZ26NatGzZv3oyZM2ciOjpavVelShUkJCRARHDy5EmsXr0a7u7usLCwQI0aNWBtbY0rV65gzJgxGD58eIHmaWtri5o1a2LIkCH4+eefAfxvW3399deRkZGhjhsiglKlSiEjIwNvvPEGmjdvjtOnTyMyMvKphgXNycnB/fv3kZycrDp3Z2Zmqn3dyMgIQ4YMQVZWFjZu3Ihly5YhOTm5wNcSn3zyCT7//HO0bt0aS5YsweTJk9Xv1qBBA6SmpmLQoEGwt7fHDz/8oI5zd+/exf3792FhYVGio4q9EJ55JKESo5/YN23aJHZ2duLo6KhqfpKTk6Vbt25iYmIiU6ZMUf0NDh8+LN27dxcXF5cC1XT369dPrK2tZefOneq1e/fuSfPmzUWn08mBAwdE5GHttoODgzRr1ixXrfHJkyelSZMmMn78eMnMzCy2OwijR48WS0tLCQkJkXnz5qlmTEW5pauJi4uTJk2aqNq0Ro0aiaurq5iamsr48ePll19+kb///jvP2tgnNRfRb3qhfQdxcXFy6tQp8fPzU7fos7OzZcqUKaLT6WTgwIG52gffvHlTpkyZIpcvXy7QOi1btixX35GIiAgZNGiQ2gbyqjXXfsPNmzcbNFl7nMDAQBk3bpxBzdetW7ekVq1aMnz4cPXbLFiwQExMTGTy5MmSnJysvo+srCz57bffxNbWVjZt2lSg9dOnv23p/92tWzdp166dbN26VaysrGTQoEEGy9iyZUtp06ZNoe9AxcTEiJOTk/j6+oqXl5fBe1euXFG1VhMmTFDf56N32QpKf9l++OEHadiwocyePVtCQkLEwcFBdDqdzJs3L9fnwsPDxcPDQ8zMzPJsS5/fPPz9/dVdEO13u3DhglhYWIizs7NYWFjkqqmcM2eO2NnZFekOgnZnJCMjQ+bNmyddunSRCxcuSEJCgixdulTs7e2lRYsWah3076TMnDlT6tevL5GRkYWe36O/w44dO8TDw0PMzc2lQYMGMn/+fAkPD1fvf/fdd+Lq6qpq+x/n0Wlfu3ZNXF1dZfr06apG8vTp02JlZSWjR4+WK1euGMwrJCREdDqdbNiwocDr9ej6paenS2pqqvr32rVr1fHNxsZGJk2aJKdOnVKf69Wrl7Rv375ANdBHjx5Vf2vb99WrVw2apGh3pPSbouhPu0ePHoVuwpFfE6jbt29LnTp1pG3btmJtbS3Dhw83aKqzY8cO0el0cvjw4QLP68qVK+Li4iLu7u6ybt06sbGxUbXtU6ZMEWtra+natavUrFlTQkJCDGqae/ToYXBnvaDu3r0rQUFBYmpqKl999ZVqFnX58mV192Pq1Kni6upq8Bt06dJFunTpIqNGjSrw+UFE5PfffxdPT0/R6XSyefNm9fqGDRtyNWvV/+1GjBghzs7OuVoVPEl+d2m1ZrT6d3P1+1ZqzV4dHBwKtP89KiIiQoYNGyY6nU6+//579fro0aNFp9NJmzZtJCIiQrKysiQiIkKmTp0q1tbWBndXXlUMCK8IbYe5ePGitG3bVjp06CDm5uai0+nE1tZWhYTIyEjp2rWr6HQ6qV27tjg7O0vdunWlQYMGBW4nvGvXLjExMRFXV1f55Zdf1OsrVqwQJycnsbOzk3379omIyL59+8Te3l4aNGggQUFBcvHiRVmxYoV06dJF7O3t5dq1awVex/wu9DSbNm0SU1NT+fnnnyUrK0vS09Nl4cKFotPpVFOLojp//rwcO3ZM1q1bJ4GBgRIQEKBOqHXr1hUbGxtxc3OTESNGSFBQkEF7yfwEBgZKly5dVJMNkYfNUtq0aSMuLi7SqFEjSUhIMFhf/ZDw6AVXQU842gXG0KFDDS4Ov/vuO9HpdNK7d291oaw/Tf0T8KpVq8Ta2lr++uuvx87r3r178vnnn4uZmZlMnz5dYmJi1Htt2rRRzVYSEhIkLi5OBgwYoF7TTnr79u2Tbt26SZMmTQrVVOvRZU5LSzMIAPPmzROdTic1a9aUfv36GQS827dvG7RDLcyFe3Z2tgwaNEh0Op1YWlrm+o70Q0JQUFCx9I+5ceOGzJw5U3788UcVSs+dO6f6P+gPTqA5ffp0gU9y+kG3c+fOUqtWLfn222/V77lo0SKxtLSUzz77zCB4hoeHi4+Pj3Ts2FE15Sqsq1evyjfffCM9e/aUkSNHqteTkpJk9erVUrdu3XxDQmEuGLTPRUZGyvjx42XkyJEGfW0iIyPl0qVLBvuryMN1bNu2rQQGBuZ5UaRtO+fOncvzGHvixAnR6XTy22+/iYjIkSNHxNLSUjVrOH78uDg7Oxs08XlSqHvc+l27dk0GDBggHh4e4ujoqPqdnTx5Ug4ePChRUVEG+/2ZM2ekRYsW8u233z6xH4J2UbVlyxb1WmJiompep50Xrl+/Ls7OzlKnTp1cTRVPnz4tHh4eMmLECMnIyCjQvqe/vPv27ZOQkBC5fPmyZGVlSWZmpgQFBYm1tbU4OTkZbBNRUVEyfvx4cXZ2LlSATU9Pl2PHjknDhg3FzMxMPvvsM/XbRkdHi5OTk+h0Ovnqq68M9u8zZ86Ih4eHDBkyRNLS0gq0bvpNeCIjI2Xq1Kmi0+lyVbokJSWJk5OTDBgwQEQeHoeOHz8uTZs2lZCQkAKvm/6F+u+//y7e3t6i0+lUn5DU1FTp3LmzuqB+dP20fUFrvlwQ2nb1999/y6lTpwwqnk6cOCGNGjUSBweHXH1afv/9d+nQoYNcv369wOcG7TvX/+4vXryoQoLWbFHk4TnR0tJSLC0tpUmTJtKwYUOpVauWQaVLcVVuvogYEF4hUVFR4uzsLJ07d5bt27dLRESEbN++XZydnaVhw4YGJ5gFCxbI8OHDpW/fvjJv3rwC17JpB4/9+/eLTqcTFxcXg85k69atEwcHB7Gzs1M1MqdOnZIWLVqoC2oLCwtp2bJlnqNk5EfbCW/fvq0OinmdrP7880+DA1ZycnKhaob01/FJvvrqK7GyspKQkBD57rvvpEuXLlKrVi2pXbv2E7/PQYMGiYeHhxw5csTg4is9PV0GDRokjo6OUq9ePbl+/bqIGJ4AtZDw5ZdfPvECPT9aG9PBgwcb1CqNGDFCdDqd9OjRw+DkM2rUKBkzZoxcvHhRjh07Jj169BB3d/c82xc/KioqSr788kupWbOmTJs2zaD2TjvRjBs3TpKTk+X27dvy9ddfq22ldu3aUrt2bXF0dCx0R1f97WPixInSoUMHsbOzM+iIP2TIEPVdahddV65ckZkzZ4qVlVWBg6W2fWrbTkZGhowbN050Op0MGTJE/Y6aK1euqI7X+v0uirJuM2bMEJ1OZ9AvRHtfCwm1atXKMyRoHrfNa9O6ePGiTJ8+XYVjS0tLGTNmjNy/f18SExNl0qRJUrNmTWnevLmMGjVKRowYIR4eHmJnZyeXLl0q0vqlpaXJ0aNH1fYwYsQIg3IpKSkGIeHKlStPXJ/HiYiIkHr16omtra1YW1uLTqeTzz//3GCQgezsbFmzZo388ssvsnr1agkICBA7O7snXrQPHTpUmjdvru7cnjx5UjIzM+XUqVNiZmYmu3btkuPHj4ulpaV8+eWXqs1zZGSk6HS6PDtCF3Q99UcrcnBwkM8++0wGDx4sAQEBsnLlylxld+/eLadPn5adO3dKQECA1KtXT/W3epzt27eLq6urWFtbG4SE0NBQadOmjdjY2KhO1mfOnJHatWtLzZo1Zfjw4bJ//35ZuHCh+Pj4SN26dQs0P/11E3nYj0OrGDM3N5cZM2ZIUlKS/P333xIYGCg6nU58fX0lJCRE1q5dK4MHDxYzMzODkf8KKjIyUmxtbcXMzEycnJzk8OHD6jh99uxZcXBwEBsbGxk7dqycPn1aFi9eLJ07d5a6deuq7bQgtH3h6tWr8tVXX0m7du0M+r3oH6c7duwoLi4ucuvWLdm3b5/07t1b3NzcinQX7datW7Js2TJp3bq1mp92JyExMVG97uXlJatXrzY4xhYmwGrb8KVLl8TV1VX1uevRo4eqaFu3bp3Y2dmJlZWVLF++XI4fPy5btmyRLl26iJOTU67Q/ij9/o+atLQ0g5YFN27cUOeDcePGqdd37dolQUFB4uvrK0FBQbJ3795cy/6qYkB4BWgb/6ZNm8TW1jZXB7aTJ09Ku3btxN7evtAdzfKal3bb+ODBg6LT6aRly5YGJwP9kKA1N0pKSpIjR47Itm3b5PTp00Vq8nPnzh1xdHSUwYMHG9QWDB8+3KCmLz8FGYVDKxMVFSUbNmyQ77//XpYsWaKGFxX53+3UuXPniqWlpcHB99q1axIbG/vYefz111/q4ly79RwZGalqzNPT02Xs2LHqu9UOfvoHt2nTpqkLpoLWQM+aNcugI97333+vlkP/4nv48OHqAH337l3JycmRL774QkxMTMTc3Fzq1asnjRs3LnDAy87OlpiYGBk6dKiYmprKzJkzDb4z/ZCgdbQ7fPiwjB07Vr777jtZuXJloUcZeXQoUwcHB+nbt6/07NnT4IJIGyVDp9NJvXr1pGPHjtKkSROxtrbOs2nOo/SbbOTk5OT67bXANWrUqFzDG16+fFnGjBlTqNv++vMUebhv7927V3r37q1GQdJq7vQ7Jru6uoqdnV2RRxe5fv261KtXT9q1aycTJkyQefPmqQuVMWPGSEJCgmRnZ8vmzZtVIHF2dpY+ffoUurZb++0iIiIkMDBQLly4IIcOHRIbGxupVatWrtCmhQQHBwdp0KBBoe5KihiGOl9fXwkICJDjx4/LjRs3ZNy4cWJmZiYBAQHqbl5ERIQ0bNhQ3Z1t27ZtgQKQdseqY8eO0rJlS+nRo4c6DrZv314cHBzEwsJChg8fLnfv3lWfCwsLE1NT0yI1r9OXkpIiPXv2lDZt2hg0WdI/fiQmJkpERITB3dFmzZoVqjJn9+7d0qRJE7GyspKNGzeq13ft2iWenp5Sq1YtNVzr+fPnpXPnziqM1apVSz777LMC1+brX6CNHj1aGjRoIIsWLZJ169ZJv379xNTUVIKCgiQ1NVXi4uLkxx9/VLX75ubm4u7uLsuWLVPTKGiNvsjD4/jChQtlxYoV0rRpU2nSpIkcPHhQfZ+XL1+WNm3aiKmpqeh0OrGyspK2bdsWqaldZGSk1K1bV3x8fGTq1KkG6zd8+HAVEn766ScVkKysrMTBwaFQv53m6tWrYmdnJ15eXhIYGChjx44VOzs70el0sn79ehF5eE4fMWKENG7cWHVk9/X1LXRlgMjD5lONGzcWX19fmT17tgQFBUnt2rWlbdu2KiRs375dDaWq7Xuurq6PXb9169bJzz//LCKGTbAnTZoknTp1kiZNmkiPHj1k//796g6zFhL07ySI5N42XvVwIMKA8ErR2txrFyn6F5RhYWFiYWFRpNEo9OmPZnPkyBFp06aNmJiYiIeHR753ErTbysVh+PDhYm9vL99++63ExcWpi9yNGzcWaYdds2aNWift89roQfb29lK3bl2xsLAQBwcH+fbbbw0+qzUN0A6YhTFu3DgxNzdXB7/69etLw4YNVRDRQoKpqal4eXmp2+L6v+ns2bMLfHGp3fHp1q2bwVCNTwoJPXv2VBcxBw4ckB9++EFWrlypakGfRFvev//+Ww4cOCCNGjUSOzs7mTlzpsFFvxYS9PuLFMcoGJMnTxZHR0cJDQ01uBBKSEiQXbt2qXmtWbNGNbsYNWqUwUVoftuVfpONL7/8Upo1ayZ2dnbSu3dvg2GGteZEeYWEwq6j/rJ06tRJWrVqJYmJiRIWFiYBAQFiamoqq1atylX+r7/+EmdnZ9HpdAZDWT6JViEwatQoadKkiUG7dBGRL7/8UqytrQ36JNy/f1/u3r0r8fHxhR6yVVvev//+W+rUqSO+vr6qydJvv/0mVlZW4uHhoZrjaFJTU2XJkiXStGnTQtWWam7evClhYWHSvXt3g2ZXMTExMm3aNKlZs6YEBASoOwnh4eFy/Phx+fPPP59Y2aF/YTFjxgw1QtGiRYvU6yEhIdK0aVOpVauWQfPEu3fvypQpU8Te3l7++OOPQq+XvpiYGHF0dDSoHdW3d+9eGT9+vCQnJ8uvv/4q69evlx07duQaNSc/2dnZal137dolLVq0yHUnQT8kaHcS4uLi5MqVKxIaGioXL1587PepP5KM/veakpIi3bp1k5kzZ6r9/NatW/LVV1+pZ6gkJiZKdna2xMbGyo4dO+TUqVMGNflPOn/oB0l9aWlpsnfvXmnSpIm4uLjI4cOHVVOzBw8eyPnz52X79u1y/vz5QleMaeuoNYPS3zbi4uJk2bJl6g5MQkKC5OTkSGhoqEyfPl3mzZtX4OO0vvT0dAkMDBQPDw+D5oLanWP9/i8ZGRkSFxcnJ0+elJiYmEIN5619n5mZmXL48GHx8PBQ23haWpps27ZN7OzspE2bNqppUWJiohw8eFDWrVsnv//+u0GT1UdpoUOn0xn0l+zZs6fY2NiIr6+vdO3aVerVqyeWlpZqG7l7964MHTpUdDqdTJw4UW1P/4RA8CgGhFfIihUrRKd7+OAX/QeVaBdpY8eOVU1g9C9gCkq/Zq9evXri6ekp/v7+auxjV1dXg5OrFhIcHBxyndAfR6up06dfazpmzBixs7MTDw8PsbCwkN27dxepHbevr6+Ym5sb1HDevXtXNdPat2+fJCUlSWRkpFhYWIi9vb3BBdKFCxekVq1aBh2bnkT7Do8dOya1atWSfv36icjDi31tnHytg5kWEmrWrJlvSCiolJQUWblypVhaWsrnn39ucKIpSEjQajQL2xZf5GHTFHd3d3F1dRUnJyexsrISc3NzmTp1ap7NjcaPH29wIn2aNp5dunSRzz//XE3jxo0bMnr0aHWx/Og2++h2lN9JQX9f0Jq39O7dW4YMGSLW1tZiYmJiUAOlhYTRo0cXuOnEo/SXZf/+/dK8eXNZtmyZugsVFhYmnTt3FlNTU4P9W/vcmTNnDGp0C8PHx0c6deqk/q3/PfXq1Uut25PunhXErVu35MCBA+Ln55drLPY9e/aIlZWVtGrVKs+QkNex40mSkpLE19dXzMzMDPrVaPtZXFycTJ8+XWrWrCn+/v6FHtpQf3/V7laZmZlJ+/btVcBPTEyUWbNmia2trTg5OcmYMWNk6tSp0q1bt1xhoqgiIyPFyspKpk2bluf72sVmUYeG1Y7RN2/elC1btqhBK2rWrJlvSCjMcK0bNmyQ+vXr52prPnDgQGnatKm4uLjk6vsVFRWlQsIPP/yQb9h50jFGf90mTJggX375pcHxKyUlRXbv3i1NmzaVxo0by7FjxyQ9Pb3YhsHs3LmztGnTJtfrycnJMmfOHLX/6Tf5LOpxMzExUVxdXWXIkCG53jt9+rSqxdevECzqxfOdO3dULX63bt0M3ktPT5ft27eLnZ2dtG3bVsLCwgr9LI49e/aoplA7duyQ27dvS8OGDQ2eC3Hr1i01xPSUKVMkKyvLoJ/Y6NGjX+l+Bo/DgPASym9nTExMVGMQ59VhJzAwUNzc3CQgICBXm+iCSkxMlICAAINULyJy6NAhadiwobRo0cLgwLFhwwYxMzOTJk2aSEpKyhN3tC1btoijo2Oetw31a248PDzExMRE/P39VY1hYXbiLl26iIODg+zatcvgYmft2rXSqFEjgxE35s6dK2ZmZrJlyxa5evWqQbt/7fvWrz0rqMDAQKlTp46q5Zk3b56Ym5vnGxJ8fHyeajSmtLQ0WbFihZibmxcqJJiZmYm3t3eBaxL1xcbGSosWLVTgyszMlD/++EM1vXk0JGjt2ydNmvRUNTbZ2dmSnJwsrVq1Em9vb9m1a5csX75c3Sb39fWVn376SVxcXHKNNFRQCQkJqgOu/ncZEREh3t7eqjmV5ttvv1UB6GnujkyYMEHatGkjHh4eubaHJ4WE/P6dn+zsbElKSpL27dtL+/btJTk5WZ1Ytf/HxMRIw4YNxcnJSYYMGfJU22hKSop06NBB9T/RjlP6y7t7924VEorr7uS6devE29tbTExMZPXq1Wqe2ny1kGBlZSUdOnQo9IMPRUSWLl0q4eHhcvLkSTUajZeXl2ruk5SUJFu3bhV/f38xNzcXGxsb6dChg1oebZkKIq9jUVxcnDRs2FDatWtncPzXfseEhATR6XRPdYf5ypUrYmdnJx06dJBu3brJqFGjxMLCQqysrAxGXdJCgp2dnfz6669PXJecnBzZsmWLLFmyxCCEpqWlybJly1RN8YoVK3LtW1pIMDc3l6CgoEIPdKDfRr5BgwZiYWFh0D9FO/+kpqaqkODi4iLTp0+X9u3bF6mP0aO0p7xr5yr9C+XLly9LnTp1RKfTGYzE9jQBoWnTpqry6tH5bdu2TTXzKcrdc33nz59XgaNVq1a5zjH6IcHLy0sOHTpUoPXS309+++038fDwUP3BXF1d1TFKm1Z6eroEBARInTp11Pnv4sWLEhgYaND355+GAeElo99GfufOnTJ16lRZv3696oi7YcMGsba2Fm9vbzl37pxBO2QvLy9Zs2ZNoYcf0xcXFydOTk4GD3PSDshHjx4Va2tradq0qWzbtk29v2nTpgK1C87OzpYVK1ZI7dq1pUWLFvm21Rw3bpxYWlqqHfq7774zaLP7JD179pT69evLoUOHVHtt7UAxduxYcXZ2Vgdi7SE3q1evlvT0dJk3b554enpKdHS0ZGZmyogRIwrdUVj7Dc+fPy/W1tYGHS+1hzw9GhK0od4CAgKe6sK5KCEhMDBQ7OzsCn1iFRE5fvy4WFtbG1wcaBdeY8aMEVNTU5k+fbrBrfBevXoVuh1rft+J9kA77T8/Pz+DCy6trevjLmqTk5Pz3Gdu3rwpderUMQgB2nYTEREhrq6u4uDgoGpkMzIyZMKECYXuc6AvOjpa2rZtq/YRbbn0Q64WEszNzQ3WtSDyO/kuWLAg1616reyDBw/E0dFRjYr2uNv+T5KVlSW7d++WLl26qI65eQ0fvHv3bjU/rZ9TQeW3rWzbtk3c3d2lZs2asn//flVWPyQEBQVJvXr1DEJtQWgP+tMfsWfy5Mnq7uCjQw5fuHBBrl+/btCkpqD7vf4Tp2NjYw2GM123bp2YmJjIuHHjDH6n7Oxs2bVrl9jZ2cmRI0cKtW6a1NRU6dWrl3h4eBg0Y9u/f7/4+vpKrVq1DO5g7dmzR5ycnMTJyemxD+zTH5RCf2Qc7c7vgwcPZP369eLg4CBt2rSRc+fO5dqOo6KiVLORgjwQ7dHvOjIyUho2bCiff/657NmzR7Kzs2XEiBFiamoq/v7+qulgamqqwQVp/fr1Dfp7PEl++9+KFSvExMREJk6cqAKdfvM9Ly8vadOmjdSvX79IFTn60tLSpGfPnmJnZye///67el07xmRkZIizs7M4ODhI7dq15cGDB4UKI4+WPX36tPTt21dMTU0NnnatP19tKNouXboU+PpFfz6//fab6g/i7OwscXFx6uF8Wrnw8HAxNTWV7777Tn2uqCOvvSoYEF4ij/b2r1WrlpiYmKiLn3nz5sm9e/dk6dKlUrduXalbt65069ZNvvjiC2nWrJnUqVOnUKMniOTemS9fviy2trYSFBQkIrnHb1+/fr3odDrp0KFDkZoxpaWlyfr168Xe3l7c3NxyhQRt9B1teNVx48ZJnTp1ZODAgQWq1dOaQ3Xu3NnggKeZPn261K1bV9LT02XmzJnqCZjaCWzRokWi0+nUQb8wB8ZHb48mJCRI7969xcHBwaDp0qJFi/IMCZMmTSrS8IYihie8pKQkWbFihZiZmT02JOjfxSnqSUfbHrR56F/IPnjwQDp37iw2NjYyd+7cXO3zC0q/CUdkZKScPn3aYDvftWuXzJs3T3bs2GFwy//u3bvSu3dv8ff3f+xJZ/fu3RISEpJr+9L6dYSGhhqsm7ZN/Pbbb2JiYvJUtWx5bV/Xrl1TbYG1p83qz1/kYf8YbXjCgoYtbftMTEyU6Oho+eOPPyQ2NlbS09PV8LvaaDv6wsLCpH379nLu3DmDC9qirl96eroag71+/fqye/fuPO+47NixQxo0aFCkEVqio6Nl48aNsnHjRoMBCLRReGrWrKkujvRDQnx8fJHukNy9e1fatm0rnTp1MtiXpkyZokJCRESE5OTkyMWLF3MNEVnQ44x+v5jevXtLo0aNxMvLS0JCQiQ1NVXS09NlzJgxYmJiIl9//bVa94MHD0rPnj2lefPmhf4NNfHx8dKkSZNcI02JPKw80p4joV95tG/fvsf+fitXrhQTE5Ncd4q0u3HaxX5iYqKsX79e6tSpI15eXvLXX3/l+s7u3LnzxOe27N+/Xx0LtIvHzMxMmTBhgrRv317+/PNP9R1/9913UrNmTdU/RVuPtLQ0uXnzpmzfvr1Qgyto071//76cP39e9u/fryqfkpOTxdvbW43MpO/EiRPStGlT2b59e6GaNOmPFHb//n2JiopSzVjPnz8vtWrVEm9v71yjAO7du1caN24sW7duLdS2ov9ME209NefPnxd/f3+xtLSUlStX5gqM6enpsmvXrkKPbKV/3vvll1/Ey8tLdDqd6risP4Rsdna2NG7cWPr375/v9P5pGBBeMlobOn9/f9mxY4fqbKk9wEirzTx16pT06NFDXF1dxcPDQwYMGFDk0UTi4+MNbut27NhRXF1dDR5tru38Z8+eVcOUdezYsVAHLP0HY61bt04aN24s7u7u6gInLi5OJk6cKDt27DC4oBs8eLBMnDjxidPv3Lmzeuy8TqeT4cOHG9xiFHk4Brm1tbU4OzuLqampbN682eDCMCgoSOrWrVugC+aePXvK6NGj86zh1OZ7/PhxqVmzZq4hKLWQ0KZNG4PmToX1uFrH4ODgfEOCiYmJ9O7du1A1+Y+eAEQehllLS0uDoUW1mhuR/z0wSafTyZw5cwr90Dz9skOGDFEPB7OwsJDOnTvnCsQ3btyQ6OhouXr1qkybNk0sLS0fG2QzMzOlb9++UrduXdm3b5/88ccf6gR99+5dqVevnsGteP2LyYiICPVQwqJ4dDz/pKQktZ1ev35dunfvrjo/a/RDwpEjRwxq/Asyr4iICPHz81NNsRo0aCBffvmlpKSkyMmTJ8XNzU3MzMzk+++/l507d8rq1avF19dXHBwcCt3/QJtnQkKCXLhwQQ4cOGBw5+rw4cPSrFkzadCggezduzfPkPBobWNB5nf58mVxc3NTo8s4OzsbjBOvHxK0fbcwTQjze17Lpk2bRKfTqc65milTpoiZmZm4u7tLYGCgeHp65rqjUBD6gyzUrVtXnJ2dxdfXV5ycnMTe3l5WrFgh6enpEh8fL5MmTVJ9IerUqSN16tSRBg0aFGnoaU1sbKw4OTnJ4MGDcy2T/vrXqlXLoCN9fiIiIsTe3l50Op3Y29urkKCdH5o2bSqOjo6qn0pBQkJey6UJCAgQBwcHWbFiRa7O9X5+ftK5c2f177Vr14q1tbUcPnxYPfuhc+fOReoUrK2Tts4dOnSQunXrquPiF198IefOnZMHDx6oOxOff/65hIaGyty5c8XX11ccHR0LdYdXf+jU3r17i7Ozsxp5bO3atZKQkCChoaFiY2Mj7u7usmDBAomJiZFt27ZJQECAeHh4FOkZI9evX5dvv/1WvLy8pFWrVjJhwgQVgi5duiQBAQFiaWkpq1ateuxdpYLMS/tb/7fctWuXtGzZUiwsLNRdQs2tW7fE2dlZdeL/p4YCfQwILzj9i2aRh01QHBwcctWEXLhwQfr37y86nc7ggic+Pt7gwqKwYmJixN7eXiZMmKAuikNDQ8Xc3Fy6deuWq+Y1NDRUfH195Zdffil0Pwf9muDff/9d3RLWH0YwKSlJHdzz6rCU307t7+8vDg4OcuzYMYmMjJSOHTuKTvfwYWH6UlNTZfDgwWp8Z/31O3v2rPj4+EjXrl2feLdCO9iYm5uLhYWFGmdfC0zaRXJmZqYMHDhQ6tWrl+tidsmSJaLT6cTb21tSU1MLfcDS71g3c+ZM6du3rwwcOFA2btyoakGXL1+eZ0gYNWqU1KpVq9B3Dq5fvy4dOnRQYTQ2NlZ69uwplpaWeT75ddq0adKzZ89CPQU6rwfdDBkyROzt7WX8+PHy888/y6BBg6ROnTri7OysasAiIyPVcJ/aA/30g1l+3+/Zs2elTZs2Ym9vL2ZmZtK2bVt58OCBJCYmqjtSeT1jYMeOHVKvXr1cNe4Fob9t//jjj9KhQwdp3769zJs3Tw17e+3aNdW5Lr+QoClI8xT9oQ1//PFHCQkJUU19PDw8JCUlRf766y/V0VYbatDDw6PQQynqXxB5eXlJvXr1RKfTiampqXz55Zdy7NgxESlYSCgI/ecA1KtXTzp16iTBwcGyadMmsbGxkYYNGxocN7WQYGlpaTDueUHXS0TUsUM7rt2/f1+8vLykXbt2ue5CTJs2TRwdHcXa2lrmzp1bpHUUeXinz93dXQICAuSPP/6Q7OxsOX/+vFhaWoqrq6sKCSIPKyemTp0qY8aMkVWrVhXq4lb7PmNiYlQteUZGhnTq1EkcHR0NjiXa/OLi4tSgFc7OzmrUnfykpKSoPkkODg5St25d1ak5MzNTtm3bJi4uLuLg4JBnSOjUqZOEh4cX6Lh5/vx5tU23bNnSICRonXa9vLwkJydHDhw4IJ6enjJ69GjJysqS1NRUVelUu3btQm0v+rShhDt06CDz58+XTZs2yXfffSempqbStGlTOX36tCQmJsrw4cPVMLs2Njby2WefFSnYaf1FPDw8ZOTIkfLdd9+Jh4eHmJqayrhx4+TmzZty+PBhadSokfpuLCwspEmTJk98Jo3+efPRAR20fpB9+/YVS0tLcXZ2VjX6586dUyFhzZo1haoAEDG8hvjpp5/UOU9/IIpdu3ZJq1atxNzcXDZt2iSxsbFy6dIlNVqZ/sNf/+kYEF5Q+Z3Qhw4dKo6OjupEqX9COn36tDRs2FDatGlTpNE88hIVFSV9+vQRCwsLmTJliqrJ/OGHH1Rnz/3790t0dLTs27dP/P39xdPTs9D9HPQP4j179hR3d3dxcnIyGG0mrz4JT3q6ssjDTp1mZmaye/dudev+7t276nbjoyEhISFBXXh5enrK3LlzZfTo0dK2bVuxs7Mr8IWs9uwHLy8vMTMzk7p168qAAQNyjbSxadMmqVmzpmqfrH+Bt2LFiiI1K9KvTWzQoIE4OzuLh4eHuLm5Sc2aNaVdu3Zy+/ZtycnJMWhupD8EalFGpNmwYYO6oNRuBx85ckScnJykTp06Bg8kOnPmjHh5ecngwYMLNDqFfrtv/f3jwoUL4uXlJYsWLVLbXXJysoSGhoqrq6s0bdpUrcvChQtl6NChMmXKFINmC/rTy2s72r59u6r9nDdvnjpxRUZGiqOjo1haWsqkSZNUM46wsDDx9/eXZs2aFbrJhv6ydO/eXQ3tqe0L48ePV6OV6IeE0aNH5zmNgkhNTZUBAwZIy5YtDbbPrKwsmT59utrXtYums2fPyr59++TUqVNF7pSsf0E0b948CQkJkW+//VZMTEykWbNmqhJEGwLRyclJdu7cWeSQkJiYKD179pTOnTsbbOf+/v5iamoqDg4OBiE2NDRU7OzspG7dupKcnFyogD5o0CAZNGhQriYRs2bNEisrK3VXUH9fv3r1qkH5otRgajXr+s1Cpk2bJlZWVtK4cWOxtbWV4OBgVVFRlBHRNLGxsWJtbS29e/dWfcxOnjwpNjY28vnnn0t4eLjB9Hft2iXu7u4SEhLyxD5j2vZ7/vx5cXBwkHbt2qmH7mkX4JmZmfLzzz/nGRK0vngtWrQo8PapPW3ZzMxMGjVqJKtWrVLb+5YtW9R8R40aJV5eXmqQjrS0NGnQoIG0bt1aunbtWqTnmmRmZsrw4cPF3d091/lh586dotPp5LPPPpOoqChJT0+XuLg4OXr0qERGRhaqJl+TnJysBhvR3xciIiLkm2++ERMTE5k+fbqIPLwGOHDggKxevVoOHTr0xEqjsWPHyuLFiw3uBmvhuEuXLgajZAUGBoqtra3s3btX7Qt//fWXuju6fv36x+4Hu3btMrjLp+nZs6eYmZmpO8p16tSR4OBgg8+1bNlSdDqdODo6SuvWraVRo0YFevbNPwkDwgtm06ZNMmbMGOnZs6cMGDBAVqxYIVFRUWonGTRokNjZ2amLDu3CSntfuxh+mo6Cj9LGBTY1NZXJkydLUlKSPHjwQObMmSMNGjRQD52xtbWVhg0bFvqJt/omTpwo9erVk61bt0pcXJykp6erk17Tpk0L/ZCZnJwcOX/+vPzxxx/qAKSdtKKiovINCYmJiTJlyhTx9PRUNVjdunUrUgfTe/fuyeHDhyUwMFBMTU3FzMxMvv32W4OmBlpzMP2xoZ+W/ghCx44dU9N2dXWVOnXqqAvk7OxsCQ4OFmtra4NRVYoiNTVVPdnW1dVV3RXZv3+/epp2q1atpE2bNtK0adMCB65ly5bJZ599lqu9cmBgoAQEBEjt2rVVfw3tAjI9PV02b94sFhYWeQ7Zp9E/sei3/dZvgzxjxgzx8fFRHY+3bt2qQvjVq1dVDWLjxo3Fzc1NGjZsWOSHFGlGjBghjo6Osm3bNnWR4+rqKvb29gbPi7h27Zr07NlT9R0pivT0dHF1dc2zT0NaWpp88803otPpZPny5UVeH33aBVGzZs1yXRBpYczLy0tu3LghWVlZcujQIXF0dJRmzZoVulZRc/fuXXFycpI5c+ao15YuXSrW1tYyf/58qVWrltjZ2RncSdi9e3eh74RGRUWJp6enGolo7NixqjlDVlaWeHp6io+Pjyqf175e1IEIxowZI3Xr1lXtuzdt2iR16tSRn3/+We7evSuOjo7SuHFjWbJkyROfPlsQ2l3rIUOGqD5E2rGkQ4cOsmrVKomPj5dffvlFAgIC1HM7CioxMVG++eYb6du3r8yZM0ccHR2lTp06aojbx4WEFStWFKgpk2bPnj3SokULmTx5suqzpx8SRB72XbGxsVF98EQe9jVyd3eXAwcOPPG5H9HR0XL69Gm5dOmSQRjMyMgQDw8P6d27t3pNv1lbSEiI6rRfHO7evSsNGjSQSZMm5Xrvzp07MmjQIDE1NTUYqbAgtDuqvr6+Bhf2kZGRYmdnZ3CRHhQUJGZmZrJu3Tq5du2abN26VQXHkydPSmBg4GMrx7QBKDZv3mxQafDll1+Ko6OjhISESGJiopw5c0bq1KkjDg4OBhVUu3btEh8fHzEzM5MZM2YYVIj9E595kBcGhBdInz59VI1VkyZNRKfTSdOmTQ0OqFpvfv023fo7x/Dhw8XJyalITYr0nwr7qDt37hiEBO2hM1FRUbJ48WKZM2eObNy4sUgj3ejPv1OnTtK1a1eDdc7IyJD9+/eLi4uLNGvWrEhPasxrXiKPDwmZmZmSmpoqZ8+elbi4uGIZ03rfvn0yduxYsbKyEisrKxk4cKCcPn1atm3bJq6urkWqwdA/KekflH///XepV6+ewUO/pk2bpp7KeunSJTl06JA8ePBA0tPTZcmSJVK/fv0Cj9DyaK2//ugaK1euFDs7O4OQcP78eVm8eLH4+vqKr6+vjBkzpsBPvd26davMmDEjV23gqFGj1O1vrbOwyP8O8ElJSdK5c2dp3ry5+p7yq5Fq166dODs7y9SpU3OFpKioKImJiZEzZ86Ip6enODg4yKZNm1RTs6ioKJk/f7707t1bAgICZMqUKUV6YJfmr7/+End3d1m8eLFqi3vx4kUxMzNTT4IdN26c+j6uXLki3t7ehbqA0G++GBkZKdbW1uouxKMPB4qLi5P69evn2kcKQr85njbPtLQ0adGihfTt21e9p39SXrdunUEgycjIUDWmRaU9wVxrDvbrr79KkyZN1HMBtHnWr18/34eJ5SW/i4nffvtNRo4cKTVr1hQzMzMZPny4hIWFSXBwsLRo0cKg2UNxmTt3rpibm0tcXJz8+eef4uXlJV999ZX63r744gv1bIJu3boVelx5jf45RxsvXv8J91u3bhVHR0e1b1pZWYmzs3ORKo92794ttra2cujQIdm3b5/Y29vnGxIaNWqkQoL+Mhb0bkyvXr2kbdu2EhERIa1atRI7Ozs1gp3IwzuyFhYW8uOPP0pycrKcOnVKevfuLR4eHk+slBs/frzqQ6A97Vh7inNKSoo4OztLr169ci1zVlaW6t/h5+cnaWlpT90+/sKFC2JiYmLQnO3RUX90Op3MmjUr13v58fPzE3t7e2ncuLEavlvbNw4cOCA6nU6FoqCgIKlZs6asXbtW3XF9dJSvx13DLF26VPXv0j8nHD58WFxdXWX16tUGDzU0MTEROzs7sbW1NZiHdpe5KEMJ/xMwILwgBgwYIA4ODrJ27VpVs3Pjxg21Q2k76K1bt+Tzzz836JCsOXfunHz22WfSv39/SU9Pf+JOnZycbNCDX+R/tZF51SLfuXNHBg8eLKampjJ16tSnHk7tUQkJCWJvby/Dhw8XEcPOz+np6bJs2TLR6XTSvn37p6qZ1TwpJDw6QtPTePSgc/r0afn+++/Fzs5OGjZsKAEBAeLq6iqBgYGFPkDt3r3bYCQWbXmXLl0qtWrVUgdQbchWbZzzjRs3iq2trRqSMC0t7bFN0/IKIhEREQY1rnmFBDc3tzxHnyjIesbHx6ty+s3W9LdP7UFB2kgw2vJpv+/EiRPFzs7usTWm165dUxczDg4OYm1tLWPHjs3VoTQ7O1tOnz4tHh4eKiQ8zbDB+dFOqNr8IyMjxd3dXb7++msReRhmzM3NZezYseqiTP+3e9w2m9/33rlzZ6lXr5660NGvwUxNTRVnZ2fp06dPodZj586d8vnnn6s7nlrITklJkUaNGhlMT/+CSHu2QpcuXXKN6FNU6enp0q5dOzl48KD8/fff0qdPH+nZs6fa/sPDw0Wn04mLi4vUqVOnQEMn69f+nzt3To4dO6buZGkOHz4sY8eOFVtbW3F2dpYOHTpIo0aNChVCHqV/XNT/frRRvEQePnyxcePGBs2NevbsKV27dpWgoKBCNV3U5qffcTS/kKD1Sbh37578/PPPEhwcLHv37n3s+eLR9x7tFK7dbUpPT5fQ0FBxcHDIFRK2bdsmDRs2FAsLiwI163u0M6vIw46yTk5OsmjRIrl27Zq4ublJvXr1ZPXq1Wo/DwwMFBMTE2natKk4ODiIvb39EyutevToIXZ2djJo0CBZsWKFzJ49W3x8fNTdqfT0dPH395fatWsbDC2qv301b97c4A5DQeV1LLh9+7bUrl1bAgICDI6L+vMzMzOTyZMnF2ge/v7+Uq9ePTl8+LBMnDhRdDqdQUf7mzdvip2dnUycOFEmTpwoNWvWNPhOz549KzqdrkD9b9asWaOeofNo86pNmzaJmZmZ2qcjIyOlcePGMm7cODl9+rR6hoX+ndCnqXR41TEgvAC2b98ujRs3lvXr1z/2FqX+E1G1hwn16dNHlixZItOmTZN27dqJnZ1dgQ/8u3btklWrVqmdNCsrSzZu3KjGG87rIvzatWvi7e0t1tbWMmfOHIPa5qcZC1mbf9++fcXR0dHg4KIdtFJSUqR+/fqi0+meeMFXUE8KCUWtYSuI7OxsiYuLkzFjxoifn5+6QC1Mm9K4uDhxd3cXf39/uXPnjty6dUtdPO/Zs0d0Op0cO3ZMfvrpJxUOtJP8o8N0PsnRo0cNmrtlZGSoToT6tTLa75WamqpuA7dp0ybXQ6+etL1s3rxZjamuX7Z///7SuHFjgz4EU6dOVSNT6W//0dHREhAQIP7+/o+tkUpNTZXhw4dLp06d5IcffpAvv/xS/R6BgYESGhpqsL2dPXtWWrRoIQ0aNJBNmzbJwYMHDTrVPW2oPH78uOh0Otm3b5/cv39fhgwZIt7e3qq9rdbXw8bGRurVqydxcXEF+l71t/cNGzbI/PnzZf78+ZKZmSmrV68WnU4n/v7+uS7Yjh49Ko0aNZIFCxYUav327NkjJiYmEhgYKMePH5c2bdrIiRMnJCMjQzp37ix16tQxGKVL/wLF3d290IFEfx3T0tIkLS3N4O6ftg2EhYWJpaWlwehFK1asEHd3dzl27FiB2q3rfweDBg1S7Z11Op306NHD4IGRGRkZEhUVpdqva+W0ztiFof3OV65ckcDAQPnss89k/PjxBnfjUlJSxNXVVXr27KmW9Y8//hA3NzeDZh750b/41x861dvb2+CO5KN3r7XmRvpB/UmCg4NFp9PJhAkTcj1ZWZv3kSNHxM3NTf1eISEh0qBBA4OQkJGRISEhIQa/aV62bNmSbxPOxMREGTJkiPj6+kpqaqpERERIkyZNVEjIzs6WK1euyJQpU8TX11dGjRr1xKHDx44dK40aNZJt27YZVCZoNdzasoSFhamndes/qyEnJ0eOHz8ujRo1kpkzZxqM3f8k+iOFRURESHx8vPrNZsyYIaampjJ37lyD6w7tWSS1a9c22Ibz4+/vr4YjzsnJUXfi9AdnSE1NFV9fX9HpdGqUIn07duyQunXrPnF+K1euVJU4+k9Z19ZzxYoValjtuLg46d+/v/j4+KjvUxs1z8zMTLp162awHXDUotwYEF4A3333ncGwoXnRNt7ExERJTU2VW7duyXfffacumO3t7cXX17fAzW/S09OlW7du4uDgIL/99pucO3dO1q1bJw8ePJC1a9dK7dq1xdfXN8+Q8NNPP6kT3KxZswp9Ea1fPjEx0WA8ZK12QP8kowkPDxdHR0eZN29egQ5chV0e/ZCg3/ShpOjX5MbGxsratWuL1HxKuwj38fFRF8np6ely5coVad68uVhZWYmpqan8/PPPBs2kli5dKjY2Ngad1PJz584dqVevnowcOVJEHt7dioqKknPnzqkDv/6Fh3bgTU9PV2HW3t6+wO25MzMzZc2aNWJlZSXe3t4Go5GsX79ezM3NxcvLyyAkaEM3duzYUUJDQ2Xr1q0ybty4XE8Vzs/WrVvF0tJS5s6dK4mJibJv3z7p0KGDemqqh4eHbNu2Tf1G2uhGWic4U1PTQt9Ve9y+oz1h9sSJE+Ls7GwwUpL2240ePVrWrl1boHnpd1zXHnSkDfUZFhYmOTk56gnXrVq1krCwMImMjFTDKDdq1KhAI908ul0vWLBAzMzMxMzMzODJ54cPHxZTU1M14o5GuyBq2LBhkS+I9IdvtLa2lo4dO8qmTZtUuXnz5omJiYkaYvH8+fPStWtX6dq1a4GGV9RfR20ErR9//FE2bNggkyZNEjs7O7G3t5eVK1cafC49PV1u374t8+fPF0tLS/nuu+8kMzOz0HcNIyMjpX79+mooaHNzc+nUqZNB4OjevbvUrVtXwsPDZffu3dKzZ09xdXUtUI3pli1bDIbnTU9Pl6NHj6qwr38h///aO++wqq7s/a9oYowxmYzfzJhkksxkkpkDXDqCVAELKqIGUQFFKSogigUbduyoEQtYsKHGgljACEbF3qPGiqKCIqCCIk16fX9/8Dt7zqFeUAOY/XmeeTJebjnn3nP23u/aa71LKhI8PDygpqYGX19fpWqLrl27Bh0dHQiCgI4dO8Lc3Jy9trKg9/T0RN++fdm/RZFgZGTEjkd6nVT3nYq1OgMHDsSRI0fYbof0dbGxsVAoFGw8E5seivUp4vkWFBTUWSv25MkT9OnTB0uWLGHBg+ruefE9d+3aBU1NTdja2uLnn39Geno6IiIimAVrfaLdUrtlMXjYu3dvhISEID8/H6mpqez7WLZsGZsHzpw5g+HDh6Nbt2517qJJxYEoMsR0IbG+QfyOnj17hq5du0KhUCA4OJid89WrV+Hm5obu3bvXOn6Krn729vbQ0dFh6x3pb5eXl8fSLI8dOwYrKyv8/PPP7Dn+/v7Q1NTEhAkTWHoXp2a4QGhkcnJy8OOPP7LmHDVFOcvLy1FQUICRI0dixIgRyMjIQGFhIZ4/f47z588jISFB6a5/4s0SExPDFgpiYVFJSQmysrKwa9cumUiQDmrLly/H1KlTERISUu+iXemAKto3/vjjj7LJaN68eRAEAZ6enix1JiEhAStXrkS3bt1keaxvKl9QKhJ69uwJdXX1N55CVR1vKmqxaNEiqKqqsoi2yKZNm6CpqQkLCwtZM7abN2/C1dUVAwYMUCpaWlRUxD5DLGCbPXs2gIpot9iUS5xUK7tSjR07Fs7OzkrXHAAV98b+/fthYGCAgQMH4s6dO+z3joyMhEKhwIABA6rdSRAtOMeMGSMrTKvr+/b09ISBgQFLiUpNTcXJkydZ8Z2WlhY6deqE4OBgxMbGIj4+HvPmzcOoUaOUuhdu374t6wwrsnHjRvj6+sLf3x+3bt2SXdfz58+Hjo4OCyA8e/YM3t7eGDdunCzyV/le2LZtmyxFC6jYURFtMC9cuMBy1aX35YIFC5jg0dDQgIGBAbp27ap0Wl/lIuIbN25AQ0MDgiBg0KBBsutNtNm1s7PDjh07kJGRgQMHDjRoQVTZTtHW1hZ+fn4IDAxkud/iouDWrVvQ09PDoEGDMH36dNjZ2cHExESp3VfpNZSdnY1Ro0ZhxYoVslSf2NhYGBkZwcLCgqX4VF4YLlu2DAYGBkq7hUmF0pYtW+Dm5ob79+8jLS0NERER0NPTg729PRMJoaGh0NPTY/aUyvY5KC4uxowZM5jV5OPHjxEYGIicnBycPn0a2trasLGxkYkEcd4KDw+Huro6tLS0MGvWrDodp8RdFVNTU1bQbWZmBhMTE8ycOVM2BiclJcHQ0FCWWhsREcF6Bkhz3qvj1KlTbGwQBAGGhoawt7dHdHR0lXl36dKlsLGxYdeDtDN6SEiI0jV+0dHREATlGmvm5OTg8OHDOHToEPT19WXWolZWVg1Kq01NTYWlpSX69euHqVOnMjOFZcuWoaioCAkJCfDx8WEWwx07dkSHDh1gampaZ73IjBkzoK+vj+PHj8u+j+fPn0NHRwcTJkxgj0ldqTp37sycCUX3oLoMHbZs2QJBELB69WrExcVh9erV0NTUxKBBg2o0Lhk/fjwsLCzYGPnkyRO4u7tj3rx5skAZ3zmoGS4QGpni4mLY2trCzc1NqeeLHSQrO380FNExRE9PD0FBQTLPblEkDB48GDdu3EBxcTEePHiAIUOGyFwclEU6eA8fPhwaGhro27cvEyhSL3exo6+6ujqzeNTU1FS6iFcZ+9PKiBP4ixcvGtzwpjEoKCiAq6srKwocMWKE7PpYvnw5tLS0oKGhAR8fH7i7u8Pa2hoGBgb1coXKzs5mqTeVc5uvXLnCRII0vzM2NhYDBw7EwYMHG1Q4n5ubi3379sHAwIB1660sEvr37y8TCWJNgrOzs6w2QxlnKDHFbvz48bIF39WrV6GqqspcrcQJzsPDAykpKXW6lwBgEdilS5fKFj4jRoyAuro6i6T26NEDBw4cYNfjunXroKamhvPnz+POnTsIDAyEgYFBrR2a165dC0EQqtSU/Prrr9DT05M1UJPel9evX0dqairu3r2LjRs3YtGiRdi/f79S+fhhYWHw9fVFnz59MG3aNBw5cgTFxcWIjo6Gn58f5syZA4VCgREjRjCb1sLCQkREREBXV7fKgqghBa15eXkYMWIEBg4cKNsZ8/HxgZaWFvbt24e8vDwUFxcjJCQEnTp1Yr0f6rt7N23aNFavIvVOF7/PmzdvQkdHh9WNiIj3QXx8PDQ0NOpMiQGq1gBMnTq1iuPUwYMHoaenhwEDBrD7/+zZs9i4cSO2bNlSr66+d+7cQffu3dnumZeXFxOoJ0+erFYkABU7M97e3ggODq4z9UYcl9PS0jB37lxoaGhgyJAhSEpKgq+vL2vgFhQUxH7L2bNnY9iwYbLxeffu3UrtEAIVglSsY/P09MTQoUMhCAJGjhyJAwcOsOddvnwZFhYWst/m4cOHzJ1NWRvxsLAwKBSKOndOy8rKcODAAeZUlJ6ejkOHDmHz5s04c+ZMvaySpfPd77//zvpBAP+rwxFFQmFhIcrKynDs2DHMnDkT06dPx5YtW5Sa/5KSkvDbb7/JxvXS0lJkZGSgS5cu6Nq1a7W7LNnZ2ViyZAlGjBiBQYMGYfHixcwBqzpOnDgBQRCwYsUKNm6kp6cjMDCwWpEgnv/YsWNhYWGBxMRE3Lt3D8HBwejYseNbMQd4V+ECoREpLy9HcXExRo4cCV1d3Vq7Z4qTjhiRqI99G1CxOPn555+xZs0aHD58mL1fQEAA+vXrB2NjY5iZmSE8PJzd8FlZWQgNDYWBgQEsLS0xePBgWFtbQ19fv87BvzamTZuGTp064ZdffkFRURGys7NZhE8qEqKiorB06VI4OTlh/vz5stzX+nTIVOZv9XlOU0B6/qWlpUhISMCTJ0/YNuzw4cNlaRsHDhyAj48POnbsiB49emDixIm1/oZPnz7F5cuXcePGDVa0WlhYCHt7e2ZtO2fOHFn08/Llyxg0aBD727Jly1iX3fq6W0mjpTk5Odi3bx/09fWVFgnLli1j+fT1sW0tLy/HgAEDYGJiwhYl586dg4GBAdzc3JCUlISLFy9iyZIlTNjWNrlJSUlJwZgxY6CpqYmAgAC8ePECO3fuRNeuXREVFYUHDx7g1KlTMDU1hbm5Ofbv34/S0lJcu3YNVlZWbPEsbtFLj7kyYtqZGIEXn/PTTz9BoVCwKL40qp2WloYhQ4Y0qBDS29sbJiYmsLKygp2dHdstED+3pKQE6enpCAoKYj03pDsJjx49QmRkJNavX49Tp07Va/eu8jmYm5szZyIAWLJkCVRVVbF3714kJydjw4YNLMqemZmJ5ORkpRzKpJ9TXFyMxYsXw9ramhVciucpPresrIzVJlS3OBfv1YiIiFo/V1pz4ObmhoEDB8LMzIz51EtrgkSR0L9//3pbVFbm4MGDUFFRgZaWFubNmyf7mygSevfuzdI979y5AxcXFyxYsEDpzxB3GF68eIH58+dDEAT4+PigrKwMd+7cweTJk6Gurg4TExPs2LEDUVFR0NTUlC3mpVQ3flfexdiwYQMEQYCbmxsOHDiAqKgomJqaQl1dHSNGjGC57cuXL4eJiYks5SwhIUHp+x34nzOWeL3VFqSIi4uDvr4+7OzslH7/yojXaHp6OhITE7F48WL069dP9r2UlJQwkbB06VIm/BraTLU6xowZAx0dnRrrBJ89e6a0K2BRUZHM6lnk5cuXNYoEAGwnRkdHByYmJlAoFKyGiqMcXCA0AQ4ePMhciWoaQKT5hIIgyGy56mLKlCnMGlFNTY0VhAEVE2R2djbu3r0LCwsL5h8sDqqvXr3C8ePHYWtrC0tLywY1gpFy9+5dWFtbY/369WxgEu0be/bsWUUkAFW35mtaxIvPS0lJQWhoKObOnYu1a9fiwoULVTpSN2ekhWepqalV0jA2btzIRIK0kAuomDjKy8trnQz8/f1ZpFxTUxPW1tY4f/48ioqKcO7cOVy5cgULFiyAIFQ055Iu5q5cucKsFFVVVdGjR48Gd9mVUlZWVqdIsLe3l3UxXbVqVbU7KnV9rng/+vv7IzY2Fvr6+hg+fHiV9JNXr17VW/ikpKTAx8cHampqCA4OxoQJEzB27FjZIuT27dvo1KkTOnXqJOswumbNGqxatYoVZYrfS3VcvXoVgiBUqdUJDw+HIAhVIr8i06ZNg6WlpWwyrmsHzsvLizmwiecRFxfH3kP6+ufPnyMwMJCJBDESW5++H9evX8exY8dw5swZ9t7S8VHay0B07hLtFB88eCAb/5RFeg5iNLigoABr165ldr7VLbQWLVoEIyMjFvkUuX37NqsRqG7BWfkeePz4MQvi9OvXj91fUlEM/E8kiIEAsTiztt/w/Pnz2LBhAwICAhAWFiYLHvXs2ZPVcVTevT116hRrLPbjjz/C0tKyXo0kpcf09OlT5OXlydJLRY4ePYrJkydDTU0NgwYNQseOHdG5c2el08+ioqJkzbmAitRLQajoUp+UlIT09HRs2rQJnTt3hpaWFry8vBAVFQUbGxsEBgY2OHD0+PFj6Ovry4rtq3sv8fd2dnaGhYUF8vPz6/2Z0hojcYdYX18fjo6OVa7NkpISDBgwAIJQYZlenRXx6zB37lwIgsDchKTX84MHDzBy5Ej4+PjImqlVR3VzgfT5tYmE7OxsHD9+HOPGjcOsWbMQGRnJ/tZcAoGNDRcITYDMzEx4enpCoVCwBUFNBAcHQ6FQKJ1i5O7uDhMTE5YzHRcXBz8/P9mEJd5wt2/fhrm5OczMzKpNX8jNzX1ty0ExzUJc5CQnJ6Nnz56YPn06kpOT2cJ0zpw59XrfygWYxsbGbPu/Y8eOmDJlyjsxKEgXQvb29jAzM6uSlwv8L4Ls4eGB69evM/tD8feraVAeMWIETExMMH36dISGhiIgIKDabqQpKSks4jdnzhzZQrmgoACxsbG4ceNGvbvsSieEsLAw+Pv7Y/bs2WyhW1O6kZgq1717d9nCQXStGDVqlNIRsqSkJHTr1o1F7N3c3KrsttRHaFa+7tLS0jB+/HiWUiNt3CU+VxQJpqamiIyMrPbare16Fm1bN23aJHv8+vXrMDExgZ2dHUvhkZ7LvHnz0KNHj1oNE6Ts3r0bFhYWiIiIYNeW9P1Eu0pxtxSoyIsWRcLw4cPxyy+/wNvbW6mt/0mTJsHc3Jx9d/3795ftYuXk5MDc3ByjRo1ijZhCQ0Nl45a2tjZmzZql1PlVxtvbG926dWPjb2FhIYKDg6Grqws7OzvZ95aamgpPT084OTkhMzOzyj135cqVKgJT+ntJv8fw8HA4ODiwzw0LC4OmpiasrKxktpjA/9x8LCws6kwVmTBhAkxMTKCiosKCR3PnzpUdQ2xsLEs3Wrdunez1t27dgpOTE0vZaUjXd29vb7i4uACoEJCiSJCm3ebk5ODmzZsYMmQI27mrvOivTHl5OdLS0mBtbQ0nJye8fPmSNSoD/icS7O3tWbF6YWEh5s+fz3a0xcBDQ7oVi8ft5eUFQRBktVA13bs//vgjHB0dG/RZQMX317VrV/Tv3x8zZ85kQTepIJaKBAcHBxacfJO5+GJjN2lncqBi3nJ3d4empuZrNVSVIhUJgwcPxv3796t8v5XHJI5ycIHQRDh9+jSsra2hrq6OsLCwanMcY2JiYG9vj4EDBypl8RkQEMA6sUrt1Wq7QWJiYtCpUyeWf3n9+nVERERUiYA1FNHf/dChQ8jMzMTEiRPh4ODA8tmPHDkiy/GuT6pBamoqunTpgqFDh+L06dPIz8/HixcvoK2tDUNDwyrWcc2FyseamJgIExMT2NjYYOLEiWwymzNnjuy3FUVC586dYWpqChsbm1oXftOnT4epqSmioqJkC6qaFtZJSUlMJMybNw+pqalISEiot6905W7gQEVhs9gjQqFQsE7I0pqE/v37y0RCeHg4q3+Qfg/r1q2r9y6GWIvQv39/JCUlNWhSEe1lhw8fjjFjxiAwMJClO6WkpLAmbw4ODrIoslSwW1pawtDQEKGhoUq5+YjPSU9Ph5mZGYtcSiP0wcHBbIdJmqd/584dDBw4EGPGjFGqpgKoKFTs06dPtQYJt27dwsKFC2FrawsHBwdMnDiRCcbU1FSsXr2a1R7o6+vXWQ/j4uICU1NTrF69GteuXcPSpUuhra2NIUOGyJ4XEhLCiqL379/Pxr7y8nKcPXsW+vr6Mlve+iAW6ksX64WFhVi3bh309PTQtWtX7NixA9u2bcP06dOhUCiqpIPW9Bu6uLhAEATZwunx48cYPHgwxowZU2VnNTQ0FNra2jWKhLpSOMTgUUhICFJSUvDo0SOsX79etvMjXvd3795lIkEqaMXPKi8vb3DwaMmSJdDS0mLn/eLFi2pFAlARFT59+rQs3bQuVq5cye4zQahoMChe3+IY6ejoKNttvXfvHjZu3AhVVVVoamrW2QStNh49egRdXV0YGxvLHMdKSkpkY9/JkydhaGiIgICAejl3ib9RYWEhzpw5g759+7L0sgcPHmDUqFEQBAGLFy9mrxHH9OLiYri4uLxWVkB1XLp0CSoqKli9ejV7TBQH2trab0wciFTeSXgTzVQ5XCA0OtJB4MiRI7C1tYWamhqmTp2KU6dOoaioCEVFRdi3bx/c3Nygr6+v1MWfl5cHBwcH+Pr6ysSB+HkPHz7EkSNHsGzZMqxcuRIJCQls0IyJiWEpSbq6utDR0an3AFlbhFXMuf3999/RpUsXWV7gtm3boKGhgaCgIKWK96TntG/fPnTq1Ek2Wa5ZswYKhQIRERF4+PAh2/JsDkgHUWke7YEDB2Bvb88Wd48ePWL2lJVFwq5du9ClSxfY29vXOiiLLh1r1qxh10tZWRl7r+fPnyMxMRGnTp2STaRJSUlYsGABVFRUMGjQIHTr1g1WVlYoKCioc4I7f/58tY/7+/vDxMQEBw4cYJa+0sVOdnY2SzcSv4fKC3hpo7SG8OjRI/Tp0wc6Ojr18nQX2b59OwwNDaGvr49u3bpBU1MTgiDg9OnT7DnPnj1jDaaWLVsmE8PiZ926dQva2tq1FmFu3boVJ0+eRHx8vGzHxsfHB926dWP/lgq9n376CYJQ4SceEBCAGTNmwM7ODh07dlQ6ClxaWgoHBwcMHTpU9nh8fDy2bNkChUIhc5QSBEG2G5Weno6zZ89i7dq1dRZxOjs7w8jICEePHmUuSfn5+Vi8eDFMTExk41NCQgLGjRsHQRAwe/ZsxMXFoaSkBKdOnYK7uzu6dOmiVMGu9PeWCixxV8re3r7KToKBgQETPDNnzpR1tq7t+nF2doapqSmOHTsm+52ioqJgZGQEQRAwdepUlJSUyI5FKhKk/STqIigoCGZmZoiKipLND7WleomFy7q6uli7di3u3buHbdu2seh7QxF3rseNG8fu85cvXzKRMHz48Bpfq2zN2bRp06BQKGBsbFwl7U4UCYMGDaqSkhkTE1PvNMLquHjxInR0dKCrq4tVq1ZV+fv169fh5uYGMzOzBjXuev78Oeu07OTkJPvb/fv32S6GVCQoGwRoCPHx8VBXV8fo0aNRXl6O+/fv11sc1DeIJ4oEHR0dDBw48I2LkD8jXCA0ASq7iIgDoyBUeMfr6OgwCztllf6jR4+goaFRxYf75cuXiIyMhJGREfNAFwQBnTp1khV+JSUlYdSoURg7dmy91bh0YRYZGYmgoKBqexf4+/tDW1ubpQiInZq9vb1lOyTKDhT+/v4wMzNjE560c3BxcTE2bNiAHj16KOXI0tiMGzcOXbt2ZY2xgIqFz4gRI+Dm5sa6TUv/JooEPz+/KtaWdaWMiMXvlReHJSUlOHPmDH788Ue2+BEEQWZhl5yczHarevXqpdTALNrWSZvpABWL2L59+8Lb27taP/pHjx6x6GF4eDi0tbXRo0ePeqcyKUNAQAAEQUBAQIBMLNWFaPW4YMECZi0bHx/PBJ30ek5NTcWECROgpqaG5cuXy9xKxOfVdm5Tpkxhv4m2tja6du0KLy8vLF68GB4eHujcuXONuye7d+/G0KFDoa6uDlNTU3h4eCgtDsTvws/PD7q6uti1axeys7OxefNm5mYlCBU9OQ4fPoynT59i+fLl0NHRkUUVlcHDwwNGRkY4e/Ysu7fFhezhw4ehq6uL6Oho7Nq1C9evX0dubi6ePXuGSZMmQVVVFQqFAgYGBjAwMIC5uXmN16cowsvLy6tdKEsX7mJ9S2WRsGbNGnTu3Bnm5uZsXJNG4qvD2dmZecmLnyH+9kVFRQgPD2cdfcUFrPT9QkND0aFDB3Ts2FHmLFYThYWFcHNzw5gxY6qN+ovd0X19fbFo0SKcOHGCjR9iDZnoMGdsbKz0Arrydyo9B19fX3Ts2FG2OJaKBDEFqT6I81BZWRns7e3Z+OXm5lblnpCKBKkd9Jvk5s2b6NSpE9uZDAwMRFRUFGbOnAlbW1uYm5s3yMoUqBgjxNovQ0PDKte4dCdB7E/wtunVqxcGDhyIe/fuwdPTUylxcPv27Sp1NYDya4D09HSsWLECgiDUa5eJUz1cIDQRKt8A169fx9atW+Hn5wd/f3+cOHFCab9soKKA0tzcHJMmTWLvffDgQVnu8/Dhw7FixQqsX78eAwYMQKdOnWSR2tLSUll0qb7n4enpCU1NTVkkcfz48WwSWLlyJRQKBY4cOYIrV64gMDAQHTp0qNW+sTaCg4Ohp6eH7Oxs5pYiLZyUdllsypSWlrJGSvb29mxHJCwsDIaGhtDU1GSRIOmiRSoS5s2bV6/CTzH1Szo4nz17lqUQCYKA3r17Y8SIEayZnFSklJSUIDU1ValUtC1btkBFRQUrVqyQXdPl5eVITk6W5eVXttDbv38/VFVVcenSJRQVFWHXrl31KthXBvEazsrKQu/evdGjRw+lv8vExETY2tpi6tSptS6cKjvvjB8/vlqRIKW6ReaDBw9w8+ZNbNq0CbNnz0avXr1gZGTE8skFoaLBm5ubG5YtW4YTJ07g999/l31+VlYWioqKGpQicv36dWaFKXruC0JFT5XKv0tJSQlsbW0xfvx4pd9fXCD6+vqysUn6Wyxfvhxqampsh0KhUMDLywtPnz5lzb1mzpyJWbNmYcuWLbLO71LCw8Oxdu3aKqmdkyZNkjWoU0YkrFu3jlm1ijsbNe1m1SYOALDjiYiIgLm5OSwtLdkuqPR62Lp1K8zMzJRy2ElNTYWRkRGWL19e5fHw8HBZIEAQKrrWBwYGsnH0wYMHmDNnDnx9fRuUyhEVFVVFNKWkpLBdFynp6enw8/OrNpigDPHx8QgPD0dKSgoyMzPZ4tHNza3KzocoEmxsbN7aHPH06VOsWLECffv2Zd+vubk5pk6dWq8eMUDVNUNKSgr7rubNm1dl/Hnw4AG8vb0hCILM5etNI6ZHOTk5QV9fH7a2ttDW1lZqp0n8fcTA2I4dO+pd/5GWlvbaDl6cCrhA+AOoTf2+jVz4srIyZsMnCAL69evH7CdVVVXRrVs3BAcHywboc+fOQVVVlUX5G3Jc0knw559/homJCfbs2YO0tDTcvXsX8+fPh4aGBlxdXZGVlcU6/YrRTw0NDVm6UU3HIP0c6XOuXr0KPT09mJmZQVVVFQcOHJBFzsXGRPXxA28siouLsWPHDqirq2PAgAEscrh9+3aYmJjA0NCQ7SZJF0wJCQkst126nVwX9+7dg6WlJSwsLBAUFIQZM2bAwMCA2RwuXbqULVyzsrIwdepUmJqasrQYZa8XcedgxYoVNUbGra2t4eDgwM5Lep3eu3cPampqLJdXumB70/dScXExE9TK1sKIjaSkaW61HZcoltPT0+Hj4wMNDQ389NNPDW7Sl5ubi/T0dFy4cIEteMzMzJhNqvi/Hj16wMXFBdOmTVP6ng8LC8P8+fMxbdo07N27l+3yXbt2Dd7e3nB1dcWQIUMQFRUliwRL0+PEGgdliYmJgZWVFXR0dLBhwwZZwCIsLAwqKiqYNm0aoqOjcf36dUyaNIkFIpSp0wIqvvtu3bpBoVAgJCSEjRkpKSlsgSzdiZVec6KAHjx4MLtHi4qKmMC3trau8bd0c3ODsbGxrNGU9DcICwuDp6cnXrx4geLiYoSHh6NTp041igRlvfnT09NhaWkJd3d3VnwfHh6O0aNHs+tj5MiRWLt2LaKiomBvbw9DQ0PWPBBAlVQnZRG/r4EDByIkJIQt/oqKiuDr6wszMzNm9y3tSyPtEK0s+fn5MDMzw7hx42SPi80U3dzcqliLiyYgb7MPjnhe8fHxiI2NRW5ubr0sRsXXi6+RBlkyMzMxefJkqKioYOnSpVV2y2NjYzFx4sQ/JEd/9erVbG5XNt3n0qVL6NWrF0tHtLGxwf379xs8tvOC5NeDC4S3jNSX+LfffsOBAwdw6tQpWaS+pou4Ic2+pDx8+BCzZs2CgYEBVFVVoaenh+DgYNkWqjh55+TkQEVFpYrrQEM4d+4cxo4dixEjRsiikunp6diwYQNUVVVZpOjx48dYtmwZ1qxZg2PHjrHn1mVl+vjxY8yfPx8+Pj4sNaqkpIQtjvv16ycrnLx9+zacnJwwdOhQpSfSxqa4uBjbt2+Huro6+vXrxxYgO3bsgI6ODjp16sQWYtLJWuzuW9/Cs507d1aJHvr5+clsNcXv/8yZM9WmJNWG6PteWRyI7yku/hYuXAgVFRUsX75c5rgBVETBOnToUKMP+psmOTlZqaiseH8uWbIEpqamLL+3tvt2y5YtGDBgABMTKSkpLE2gLoeW6j4bQJXUMktLS3h7eyM9PR3Hjx9HaGgoRo8ejb59+zLxp8xiwcvLC0ZGRjAwMGA7BsOGDWOLE3E8q1wYKxUH58+fR7du3dhiW9kxLTY2Fl26dJG56ERERLD0r8pCc9y4cdDT02MLWvFzavq88vJy3LhxA/369YOenh42bdrExEV8fDwMDQ3RoUMHWWGz+PumpqbCwsIC5ubmsLGxYWKgqKiIueTY2tpW2UEQayQiIiLYdyT97fbs2cPOT4zcVxYJYsG7+Lq67CKlaXIhISFQU1ODubk5bG1t2f1ubW1dxSs+OTkZmpqaDSrsrnxMMTExCA0NZYEhCwsLhIaGIjU1FcnJyVAoFOw3ri41qz4LvpKSEvz4448YPHgwq+UTESPVw4cPx927d5GamsruueoK7t8kdV2PtSGd/3x9fVlq0oQJE1hKTU5ODiZNmlSjSHiT/Q5q4/Hjxw1ytjp79iwbY5YsWfKWjo6jDFwgvEWk1pt9+vRh2+Cia4K0CPdtKd2CggKkpqbi0aNHVVIXpIvK/fv3w8TE5LULe8ToTKdOnbBs2TIA8kXCixcvMGXKFKipqdW45VjXd/Ho0SOYmJjAwMCAFX/OmzcPBQUFKCwsZNuoVlZWWLFiBaZPnw5bW9t6eXQ3FaQiwc7OjomEnTt3Qltbu0aRULk5UG1Iv+9r167h4MGDCAsLq/L7VE7tsLCwUDoFTexgunLlSlkakjjhJScnY+rUqUhKSsKrV6/Qp08faGpqYtmyZWxCS0lJQUBAAIyMjJrsFnJgYCC0tbWVKuo/deoU1NTUEBAQwB5LSUmp4kjTUEpLS9G9e/cqLj8iCQkJStVuuLi4wMTEBOHh4UhKSkJKSgpGjBgBQRAwadKkKgXpxcXFVa6/O3fuYMSIEbCyslIqZ/3mzZuy6zI2NhadO3eGjo4OxowZAxUVFQQGBsoWc+KiXey8qqzJAVCxWLt58yb69u0LPT09bNy4kX03Ym+FyiIBqHCq6ty5M5YsWcLMF6T1A1u3bq2yQMrKyoKHhwfU1NQwd+5cvHr1qsrOgSikqxNc4eHh6NKlC3R0dJQarzdt2oTRo0fD1dUVAQEBSE1NRVlZGdasWQM9PT107NiRuRlJTRzE+z07OxsdOnSoYplbG9WZBEjHj6KiImzZsgXOzs4QBAFdu3bF3r17MWvWLBgbGzdonK5uZ9nHxwcWFhbse5ReU6JI6Nq1KywtLdG/f3+l7X3/KKR1WOI5xcfHs47Ow4cPh4eHBzQ0NKCpqckKoKUiISAgoMbUurdNQ3ZGgoODYWJiwoxSxJ4tzcl58F2BC4S3TFJSEoyNjTFo0CCEhobi4sWL2LRpE4vGhYaGvpHPUfbmqW5bODY2Fm5ubnB0dFR6W742hg0bxnLWxUlW9EMH/tcLobpipNoQ32Pu3Llwd3fHzZs3cfPmTcyePRsqKiqYNWsWixStWbOGdXQ1MzOrVwFmU6OhIqE+1CTKxMel7xsTE4NBgwZh/PjxKCwsrPPaEz2x/f39q905SE5OhomJCRwdHdniMT09neXp/vjjj/D19YW9vX2VNLSmgvgd7Nixg9lr1iV0k5KSoKenB1dX12oF3esEDcTv1t3dHYaGhkhOTmb3T32uEdE96NixYzLXk7KyMjg6OsLExEQWeBAj5+vWrcPFixeRnZ2NLVu2sAZXyhRh3rx5E3Z2dmyBL7oWxcbGsv4ULi4u1dpxAhW55Pr6+vXOI1dGJOjr6zNnorS0NKxcuRJDhw6t4hRX12/34sUL+Pj4sOCGKJqlOwc17TK/evUKO3bsQJ8+fep0fxo5ciR0dHTQsWNHGBsbQxAEdOvWjaVZpqamIi0trUp9m/QaiYyMhLm5OUvzqel+P378OC5evFjl8TVr1sDb2xt2dnZYtWoVLl++zP5WXl6OiIgIDBs2DAqFAjo6OlBXV2diRFknMvGYkpKScO3aNTYeBgcHV3H+k17Ha9asQY8ePWBra9vkXG8mTJiAQ4cOyR7LysqCvb09Bg8eLMsEePToEbp37w51dXV2faanp7OatMDAwCbbJLTyvZKRkYEHDx7g8OHDzML7yJEjALhI+KPhAuENUTmXUWTRokWwtLSskjJw7949GBkZoXPnzlWs1ZRl3rx5slSLum6e/Px8REVFyfI5jxw5Ui/7VCm1TYLDhw+HIAhYvnw5S+kRB6gLFy5AEASlHDekrxMnLU9PT1mBXXJyMitmnDVrFou6lJSUIDY2FtnZ2WyR0VypTSQYGBhAS0urzrzZqKioegnA/Px8xMbGyorELl26hBEjRsDQ0LBK87Ca3mPMmDEQhIoO2eK1IF6rycnJsLCwgJOTE0sJEa+rV69eISAgAI6OjjA2NoaHhwfCw8PZezel/FLxWLKysmBqaoqhQ4dW2zgMkN+nVlZWcHJyarCwq4vg4GCoqqqydJT64OHhARMTE5w6dUq2ABbFzM8//wxBEGT9RbKysrB06VJZmpq2tjYcHR2VjgonJCTA2NgYVlZWrOBXtIe9d+8erKysoKWlheDg4CoRyri4OAwZMgQODg4NcraqSyQYGhoyF5p+/fpBRUWlXpF1KS9evGCpRkuWLGH1OcuXL5dFsivvpAQGBuLChQt1pkqKOz979uzBs2fPUFBQgEWLFrHC6srFn+I1KBWrYvBowIABtX6fSUlJLJ1KOp+5ublBT08P3bt3R+/evVlNh7jbIpKRkYFr167Bzc0NhoaGsLKyqncqTGpqKrvmOnbsiNGjR8PDwwOCICA0NLRGA4Vnz57V2TPij2bNmjUQBKHK2iAxMRE6Ojqyrtbi95SUlAQzMzN069aNFTynpKRgzpw5TSo4VpNbWGJiIuLj42W/e3R0NKtJOHz4MHu8cgd1ztuBC4Q3gLe3d7VWi+Xl5XB0dISDg4PsMfGivnLlChQKBebNm1fvz7x37x7LGRXVtfj+tb2mc+fOzM7NxsYGxsbG6NWrV51NiipTOef9/PnziI2NleVrOzk5QaFQYNWqVWxwTk1NZT73ynymNOdy2rRpGD16NLp06YKjR48C+N8A8eTJEyYS/Pz86uX41FyoSSSEhISgU6dOtbpgbN26FYIgYNWqVUrl2JaXl7MIzvDhw7F+/XqMHz8ePXr0gKWlZb2ibc+fP8eECRNYtFRMv0lOToa5uTkGDx4si4RK0xPEyaKoqEg2GTSliaGyABAbM1W2oq3MjRs3oK2tXaUL9pvkwIEDLNcdUD4CJy5cpZaI1Z2nQqGoci2I/Q2CgoIQGBiI3377TenFunh8CQkJrN7ByspKtvNQuSZBPC7Ra11PT++1ijAri4TNmzczYZ2YmAgPDw/Y2Nigf//+sh3ghkQ3RZGgoqICQRCwaNGiGncOxEZTgiDU6ZUvdUeq7Hc/efJkqKqqyhaNBQUF2LVrF3777Td2HpGRkXB1dVWqiZ1ox2pgYAB7e3tcuXIFkZGRsLCwQGRkJPv9w8PD0bVrVwiCIIuOi5+Zl5eHX375BYaGhti8eXOtn1mZgoIC7NmzB6GhofD29kbXrl3Ro0cPJhosLS3Rs2dPTJw4Efv27cOBAwfemjB/XcQaEan4BipMEKTBNXGxLd4Dhw4dgiAIskBKU9o52LdvHwIDA6uI2ylTpsDMzAyCIMDb21tW9xYdHc12Ek6ePIm8vDwcP378tZrXcZSDC4Q3QEREBM6cOVMlH7u0tBSOjo7o3bs3G4jEgbCkpAT5+fno378/rK2tkZGRUe8J5sKFCzAwMECPHj2UFglHjx6Fl5cXevXqhaFDhyI4OLjejWCkA86kSZNgamrKBmFbW1tZt8ghQ4YwR4KpU6cy0bBx40alP+/hw4cwNDSEjo4OaxrUt2/fKgvip0+fYt68eVBXV4evr+8b6/7clJCKBHt7e7alX1c0MS4ujtV+rFy5UimRkJiYKFu8mJubY9q0aUoV7VZGGi1dvHgxbt26xcSB1B1Feu2mp6cjPDwcly9fRmlp6WsV9/0ReHl5sV0aMXI5efJk5Ofns4WetPHcokWLYGBgUK8GV/VFjOzWNwgREREBDQ0NdOvWTRa5ExckiYmJMDU1lVmWvsnfJTMzk7mumZub4+DBg7K/S0VCcHAwYmNjMXLkyDfWpVUqEgwMDLBv3z620M7Ly0NeXp5sfHkdwSrWZYnmDdXZOoriQJm6g+rckYD/BXWOHTtWZecnLi6OpWRaWVnB3Nwc+vr66N27t9LBo+LiYhw8eBC6urpwc3PDjBkz0Lt37yrR+RMnTsDS0hJdunSRCT/x+ikuLsbAgQMxevToKp9RU0F+TcTGxsLe3h69e/fG1KlT4ezsLDNieBNN0N4GogNZ5V32hw8fQkNDA5MmTZIVp4vfS0xMDARBkO0wNBUKCgrYLtKGDRvYrr63tzcMDQ0xbtw45sBUOfApFQkDBgyAtrY2CxJy3h5cILwGv//+O/v/4kCckJDAUnjKysrg6+vLFL04QEujFoMHD8agQYMafAwXLlxAhw4d6iUS6tP0qTZGjx4NY2NjBAYG4sqVKzhw4AAbfC9dusSeJxY0GhoaYsmSJbIc1JpcKqQi5KeffoKLiwsuX76MtLQ0zJgxg1kZVo6kPX36FFOnToWBgcE7uYsAVEygO3fuhCAIVfKfa+Phw4eYMGEC60GgbFT3yZMnePjwIQoLC1/LAUMqEhQKBRwcHKrsHIhkZmZi7dq1VaJhTZVHjx5BX18f3t7eACoWXGL30iFDhiA8PBwvX75ESUkJrly5gnnz5kFDQ0Pmsf82yM/PhyAI8PLyqvdvd+jQISgUCnTt2lXW5PD58+fo0aMHBgwYwO6xNxWlFO//lJQU7NixAxERESwV88CBA7Jr5N69e+jatSu0tbXRuXNnpb3WlUUUCdbW1ujRo0eVgMObFKzPnz9nlrrz58+XjV1xcXFKd6Gtzh2p8nFu374dxsbGVYT+0aNHsWDBAjg6OmLUqFHYvn17ve12i4uLceDAAWbIMWDAAPY36bwn9qSpLPxExowZg27duslSIqXCSeoOePnyZRw8eJBFnSv/HqJrl0hycjJu3rzZoEDH20Y8L9HUQazTE88pPz8fgwcPhoaGBnbu3FmldungwYPo2LGjLALflHj+/DkGDRoETU1NBAcH49KlS7Czs8PBgwfZPHb48GEmVKVrmuPHj8Pb2xvdunWTdSjnvD24QGggo0ePhra2tiy6lpmZyezbxEYfT58+hYmJCXr27ImjR4/Kbuhr166ha9euWLBgAUpKSho80dRXJEgX5cp+ZuWF/MmTJ2FqaorQ0FAWCbh79y40NTUxd+5cPHr0SDa5iIXL0i106Xfh6+tbJYf+8ePHWLhwIUaMGIGgoCDZ30ThVZ1ISElJeWfFgUhxcTHCwsKUyi2V/sZxcXGYMWMGVFVVERwcXKtIqE5Evu5i6MWLF5g8eTIUCgUmTZpU7eeL4kBFRYU1TGsOrFq1Curq6swJJjExEevWrYOlpSXLvba0tGQdj6WOOG8rZaqwsBAjR45UKv/fxcWlimd8VFQUEwnR0dHIyspCz5498eOPP75RL/Xazv/GjRswNDRE586d8csvv8jEyP3791ldQE2R7tOnT+P8+fMNOq7S0lJERkZCEARs2bKlQe+hLFIBvWDBAmRkZCA+Ph4eHh5KiYPq3JGk5wFU5Nvb2tqiV69euHv3Li5fvoxr1641uK+B9L1FCgsLERUVBVNTU6irq8u+e6mtdocOHTBjxgwA8nElKioKgiDAwcGB1ZMNHz4cU6dOlaUaxsXFoVevXrIdgaFDh+LQoUOyuUWs7RCL1ptSemJN7N+/H4IgyBzNpOm05ubmMDQ0xLp161it09WrV+Hs7IxevXo16fSbFy9esM7W48aNg7m5OZsHxGtJ3OWqLBLy8/Nlc0Zz+C2bM1wgNJDo6GioqKhUuYC3b98OCwsLGBgYMPV/6tQpGBkZwdTUFP7+/rh//z62b9/OHELq20GxOs6fPw89Pb167STUhtRSrTqf7ZCQEOjo6LAozIULF6ClpYVx48YhJSUFhw8fxsiRI2WLCNHSbu7cuTIHkn379sHS0pKly5SWlqK0tBRLly6Fjo4O1NTUmHe6NFo+depUCIIAHx+fOnNy/8yIg25iYiLmzZsHBwcHCIIANTW1KlaRfwS1RUszMjLYzoFUHDSliaByJF5cWD158oRZD4rXaUlJCTIyMrB582YsWLAAEyZMwJ49e3Dr1i32+rd9bsrsHDx79owFN2bPni37mygSLC0tYWlpCVtbWzx69OiN7RqI75OSkoLQ0FD4+/sjICAA9+/fZ8GEq1evwsjICJaWlmw3Iy8vDyUlJYiPj6/2/i8vL0dOTg6srKzqrAepjQsXLkBDQwORkZENfg9lkYqEyZMnw9XVtV5pU5XdkdLT09m4nZaWxpzBKvc7sba2houLC+bMmdNgxxh/f38W5CkoKEBUVBT09PTg5uYmm0eAilQYsb5DSklJCWJiYjBq1CiWfuTs7Myi4uK9lpSUBBMTEzg5OSE8PBz3799HeHg4BEGAq6ur7HoQTTGkwbymhKenZ5XOxmLtkFicLyJ+h6Ltr2jT2qdPH5ibm8PIyEgpp7DGQPr7iyJBzCwQd4ekgVJRJFhbW1f72zXVVNN3CS4QGoB4oYsFQ126dJFtwYeFhTGffjGH8Pr166waXxAEaGhooHfv3vW+maVNpTIyMmRRn3Pnzr1RkVBYWAgPDw+ZT7t4IwcFBcHExAQAcPnyZWhqamLChAnM8lB0OKkc1XNxcWEFnNIt4/j4eBYJEaM/YuGxpqYmBg4cyP4uXfCIIsHd3f2tdr9s7jx+/JgVEC5YsABBQUEYNGgQ88n+o0WCdCE0b948vHr1CpmZmVi3bl2TEwdPnz7Fw4cPq9hmPn/+XCaey8rKMGfOHBgYGLBdhLr6UTSlSe7+/ftwcnJibmBSoqKioK6uDkEQZK49DREJ1eWRP3jwABYWFjAxMUHHjh2ho6ODDh06wM/Pj3m4X7t2DcbGxrC0tMSCBQvg4uKCdevW1Xl9nD9/Hurq6krnLB86dIiJpKSkJAQGBsLAwKBB3XwbwosXLzBx4kQ2T9S3pqLyvVVQUICXL1+iR48e6NWrF7Zu3Ypbt24hIiICW7ZswfDhw9ncpK2t3SDHG7H3hK2tLcvrLyoqwi+//AJtbW24urqygJn4nWpra1dZAIuI85qbmxtMTU2r1FOsWrUKXbp0kdVR+Pv7Q11dHfv27cOzZ8/YmJaQkMCErzRfvynw8uVLVrQttW+OioqChoYGfH19cf36ddy/f79KsXl2djaWL1+OYcOGYfDgwVi8eHGdtreNhfQ7F+vlXrx4AVdXV2aGIHU7FJ8vXldGRkY8CNgIcIHQAMrLy9nEf+7cOQhChee/1HJUKhLEdKPc3FxcvHgRkZGRuHnzZr1t+MTJOCEhAZ6enrCwsEC/fv1w9OhRthVbk0hoyCIrJycHNjY20NTUxJYtWzBkyBA2iF2/fh2CIGDs2LHQ1tbGxIkTZQVfoaGhEASB5QRLhYydnR20tLQwf/78aouw7O3t2SSVmprK3ImGDRvGnicdLMeMGQOFQlHvfNl3kcoNxMSF67Rp09C9e3dZI6SnT59iyZIlrGtxdcWRbxPpQmbWrFkICAhocuIgPDwcdnZ20NXVhYqKCkaMGIHff/8dPj4+MDc3x/Lly2VFmC9fvkSHDh0wbdo09ph0UdLY51MT4vE9ePCAiQSx27nIkSNHoK6uXqUmoT7nJC4CpK9JTU1Fly5d2CIyLy8PKSkpMDIygpWVFW7cuMHGvhs3brDot66ubp2LZ3Gsnj17Njw8PJj/f03PlTZaNDMzg5WVFbS1td96rUhlUlNT4efn12B7Sum9Jd77tra2VSL5Uu7evdvg1MycnByEhISgQ4cO1YoEPT09qKmpwdbWFtbW1jA2NsbatWtrfU/xd9i5cyd7TDz2ESNGwNHRkT2+ePFiqKmpISwsDDk5OQgKCsKkSZPYsbm5ub3RlLg3SVJSEoumi8XFp06dku3wKBQK9O3bFx4eHliyZAkOHjyI27dvo7CwsMlZtFZGer2NHj0aixYtYnO1uJOgoaGB4OBglhYnFQmHDx/mNQeNBBcIDUCasnHx4kXY2tpCRUUFNjY2Ne4k1LcpWGWkkbaOHTuic+fOcHR0hKWlJczMzBAeHs4GCqlIaGilv/h5OTk5sLS0hJaWFtTU1JjoSEtLg7e3NxQKhcylCaiIrIqTkjSqL33O7t27IQgCBg8eLOsRERwczASX6G4jFQnDhw9nz5VGlCp3if4zMmPGDHTt2rVa96Z+/fph6NChVR7PzMzEnDlzoKKigrVr1zbIO/51ePHiBbNArey+0diL6S1btkBdXR0jR45EYGAgRo8eDV1dXdja2mLbtm0sXcPS0hLBwcGs18DSpUthamqqdJ+PpoI4Id+/f5+lA1ZON5IWLktTbpSJyo4aNQrOzs4sP1ocR3/55RcYGRnJxsilS5dCoVBg7969ePToEe7fv8/u97S0NBw5cqReAYETJ07AysqKjc+17XwkJycjIiICI0eOxLx58xoshl6X17XgfPHiBcaPHw+FQoEOHTrIPPWl51/fz6n8fPHfubm52Lx5M3R0dKqIhKioKNYZ9+eff5YdS3XfqRhZVlVVxYwZM6rsDo8fPx62trYAgICAAKipqWH37t3Iz89HaWkpXF1doaenh9TUVOYY2JRJSkrCwIEDIQgCtm/fjosXLzLHt82bN8PLywuWlpbQ1NSUCQcNDQ0MHjxYqYaVjYH0WklPT4eTkxM6dOiAdevWsfs3LS0N9vb2rHBZupNQk4kJ54+BC4R6Is3NNzQ0RJ8+feDi4oKRI0eyoppffvmFPV8UCSYmJq/tLJCSkoLu3btj2LBh+P3331FUVIQrV65AXV0dPXv2RHh4OCsYPnfuHOueKbYqry/izW1rawtBEKCpqYl169axv1+5coUNarNnz8aFCxcQHR2NmTNnQqFQyIowRaQTk2jlNmjQIJkjVGBgILS0tNCzZ896iYQ/O+fOncOlS5eqnQzt7e1ljiLS3+H333+HmpoaNDU1sWTJkjotU980z58/h7e39x9StKssYmHjihUr2ESWnZ2NPXv2QE1NDb6+vigsLMSBAwdkLl0///wzwsPDYWJiwsROY59LdVR3jUh7tKxevZotQirvJIgioUePHti/f7/Sn+nm5gZBEDBu3DhZEaW/vz+MjY3ZvxcvXgyFQoHdu3ejqKgI27dvR/fu3V+78HLOnDkwNTVlUcrqFlR1ub81N54/f45JkyaxdKM3uUsoTbkSx5OaREJBQQEOHjwIQRBkRcs1iQNjY2Ps2bOHBQ9mzpwpq9ULCAiAQqGAq6srFAoF9u3bJ2uG6eXlhd69e7Od9eZAUlISBgwYAEEQMGLECBgYGMjEaW5uLhITExEeHo7g4GC4urrCwcHhjTp3vUmkv62Pjw969OgBExMTCIIALS0trFy5kt3TUpGwfv36P3wO4lQPFwgNQNyytLW1laV0nD9/Hp06dUKvXr1kN/bevXtZ1C0/P7/BSj8sLAydO3eWRSaXLVvGmgkZGRlh//79bCfh5MmTsLS0fC07t9LSUmzevBm7d++Gubk52woUxcP169fh4+PDIhvq6uqwsLCQFZ9VPl/pwCEVCdKo0sqVK2sVCfb29g0+p3eN6nK6Hz16JPPXDwwMhKqqqmyrViqubGxs0K1bNxgYGPzhuwgAZBN5Yy/EpOKg8m6MeO9ramoiJSWFffe//PILxo4dC1VVVdY9Vl9f/40YELxpJk6cWOskHBYWxtK+xIL2yiJBtCL88ccf60xxqLxQEAQBY8aMYYuD7du3Q1tbGw8ePMCKFSugpqaG0NBQJmLErrJSe+T6IH5+eno6HBwcMGfOnDprQ94lKtck1Of+vnTpEtatW4fZs2cjLCyMieWFCxdWsSAWRUJOTg7bCXZ0dJTtJNTVfd3NzQ0GBgY4ceIEioqK8PLlS5lIEF9fVFTEAlfTpk2T2aHevn0b1tbW8PHxUdoCuqmQlJQER0dHqKmpQRAE1lOouuu1oKCgSl1CU8TX1xfGxsZYv349Hjx4gMjISPj4+DC7balIGDRoEFRVVbFy5Uoe/GsCcIHQANLT02FhYSFrPiTewJcuXYK2tja6desm24IPDw9/7cWCn58fOnbsyAbi8PBw6OvrY+/evbh//z5MTU1hZWWFvXv3soG8vhGU2rbe09PTZSJBPOf09HTExsZi69atiI6OZqkWQM2LvYaKhOfPn2Pq1KnQ0dFpsk1uGpu8vDwMHjxY5qP9+PFjdOnSBSYmJswRSuTChQvo3LkzTp48+YcXK1emsbfJ9+7dC0EQEBgYKFtISY9r9uzZMDExQUpKiuy14o6eh4cH6+AaEBBQ7VZ5Y3Hv3j1YWlpCX18fO3bsYCJBPD9RHIjGBPHx8TXWJERHRyudIy8dV0QHK29vb7x8+RI3b96EmpoaunbtCnV1dYSHh8vGrYCAAJiYmLy2b31paSmCg4Nhb2/Poq5N5Xd520hFwsKFC5VqIrlz507o6+vLUlp69uyJ1NRU3Lx5ky3QqxMJWVlZ7Lrp06dPldqP6r731NRUjB49ukpBckpKCivanjlzJrvmbt68iV69ekFPTw+zZ8/GlStXsHHjRgwdOhQdO3asU4w0VRITE+Hs7Mxqw6Q09vhYE3v27JHVt4kkJSWhU6dOWLx4MRMz5eXlyMvLw8KFC6GiooJVq1bJahJ69epVbfYB54+HCwQlqHxTxsXFoUOHDvD39weAKl2S9+zZA0EQMHDgQISFhTXoM6tbqAcHB0NNTQ0ZGRm4du0a7O3tMW3aNHZzid1bxQhdcXFxvQYUab7gqVOnsHPnTqxduxY3b95kKj8lJQUWFhZVmjxVp/br+mzpJLFx48Y6RYIosF68ePHO9zl4XQ4fPgxbW1vo6Ojg2LFjAIBbt27BwMAACoUC06ZNw4ULF5jdbufOnf/0Rd45OTno378/BEHAqlWr2OPSIuPc3Fz06dMHdnZ2VaKT4nNevXqFhIQEuLm5oUuXLq+dS/4mKS8vx9WrV9GvXz/o6upi+/btTBRKxYHUQ1/qbuTn51evz6sp110UCePHj0dxcTGztrW3t5cVHt+5cwf29vYYMmTIa6UdiL9NTk4OevTogQkTJlT527uOtN7np59+qlUcibtoc+fOxblz55CamorZs2czp6L8/Hz89ttvVURCWVkZ+82XL1+OAQMGwMjISOlmh/n5+VXmU6CqSBDFYkJCArs2xTRYOzs7pbs/N1WqK1xuqsTHx8PU1BSbN2+uMtZdu3ZNdn1I1wlFRUUYO3YstLS0sHbtWjb/NLddn3cZLhDqQBykMjIyZItSBwcHWFlZyfJZxYHx9u3bUCgUEISKZi8NdRl4+PAhpk2bxqJpd+7cYVaLq1evrpJu5O7ujlGjRmHRokX1dmyQThZjxoyBkZER1NTUoKKiAg0NDYwfP55N3KmpqbCwsIC2tjbmz5+PZcuWwc/PT6lFu3TBUHlilm5LVxYJenp6bySK+C5S0wLn+PHjsLGxgY6ODqKjowFU+Ge7ublBV1eX2Rr27t273laK7yqJiYkYNGiQzHZQ+v3OnDkTenp67PuqbZEVFxcHHR2dJuHAcfXqVURHRzMv+UuXLsHBwQE6OjrYu3cvsyUOCAiQjVdScwSxcHnBggV1fl5NloTSBYIY0fbx8UFqaip++uknCIKAXr16ISgoCDNnzoSdnR0MDAzeiAONOPZcvnwZhoaGzaJD95smNTUVU6dOrbVxnjTFrnLdh5+fHwRBYD1rzp07x0SCtB4lLS0Nw4cPR2Bg4BsL5lQWCdId+Zs3b+LUqVO4f//+H+7G9raQFi5LrYWbGsXFxYiNja32d37x4gV0dXUxf/589ph0zIyIiGCOZGvXrpUFJv4swr0pwwWCErx48QJGRkZYuHAhU7mHDh2Curq6rCmSyKFDh+Dk5IQjR4402Je4tLQUK1asYBOodGLNz89Hjx494O7uzh67evUqrKyslO72KW73VV7g+Pj4wNjYGJs2bcKdO3dw/fp1VuTm7OzMJurU1FTWqEUQBFnxspS9e/cyBwoxupCYmIglS5Zg2LBh8PX1lS2gNmzYUK1I8Pf3h6mpKRcIlRAXPdnZ2bh//z4uXLgg8+s/e/YsEwniTkJmZiaSkpJw+PBhxMbGNkrNQVNGOjFLo3ezZs2CpqamrL6oOqQ7CWJzxMZkypQp6NSpE7tXXVxccPr0aZw5cwb9+/dn+c7+/v617gTGxsbCw8Ojzt4to0aNgqGhIVxcXDBv3jwcO3asxkJKsSZh/PjxyM7Oxs6dO9G9e3cIggBjY2O4u7s32OqzJrKysjBz5kyMGzfuT+l+VtuO1rZt2yAIAlauXClLQxKvi8TERAiCgF27drG/nT9/Hv369YMgCNi4cSMOHz6MpUuXQldXV+ZM9SbSuWpKN3pXEWsSBEHA1q1bG/twqlDdIn7mzJm4fv06gIp5yd3dHXp6ejh06BB7jjhvHT16FBYWFvDw8IC6ujpLy/6zpP41dbhAUILU1FR4eXlBQ0MDAQEByMzMRG5uLpYsWQJBEODk5ITTp0/j+fPnOHXqFFxcXNCnT5/X3ip7+vQpFi9ezPoNSBuFiU4P165dw8mTJ+Hu7g4rKyulmomEhYXB3d2dTY7izXrz5k0YGhoiODi4isvJ/Pnz2aAsFoRlZGTgwIEDsl2Myt2WBUHAokWLWLOj+Ph4GBgYwMTEBN27d0eHDh0gCAKGDBnCUh3EnYTK6UZ8IStH/N3i4+MxcOBAWb7w2LFj2XcnFQkNdbT6syEVCSEhIZgzZw40NTVx8OBBpQtct2/fDhUVFcyYMQNlZWWNEhFzdXWFmZkZVq5ciejoaFbHZGtriwcPHuDKlSssRWPTpk017naKx15X4WBaWhqsra2hoaEBQZB37LW1tcXYsWNx4MABXLx4kS0CJk2axHYpRSeahIQEZGdnK2VPWVPdVG31VGfPnoWhoSFznOPRSmDfvn1MKNY01p4/fx56eno4d+6c7Ds7e/asLNVHXV39raXGSEXC6/SKaC48fvwYrq6ute76NBV+++03qKmpoUuXLqwmQexE3rNnT1lH5BcvXmDmzJlwcnLC/fv34ejoCGNjYz7PNyG4QFCSlJQUTJ48Gaqqqli2bBlyc3Px6tUrrFmzBqampmxQ7NChAzp16lTvlA3pZCZtEpKamopFixaxRZ8oOkJCQqCpqQkVFRXo6OigU6dOSndl9vT0ZFE76RZyVFQUBEFg6r+srEwWbRo1ahQMDAxqLLaurPoLCgqYW8H8+fPx+PFjzJo1C05OTqz3wbNnzzBv3jwoFArY29uz816/fj0EQYCNjY2sTwJHzuPHj9GxY0c4ODhgw4YNiIqKgp+fH3R0dGBjY8PE26lTp9C7d28YGBg0uDfGnw2pSBAEAVFRUUqLg6KiIsyYMQPdu3dvtGJJFxcXGBsb49ixY2yhnZWVhZ07dzKXIgC4ePEi+vfvDz09PVlNQkNJTEyEq6srVFVVWdHpuHHjYGNjIyt4NTc3x7hx47Bq1SqYmJhAU1MT48ePr1L8XRvScVOsmdq4caNSC/7FixdDS0sLr169+tMLhPz8fIwZM4YFgaSpHtJxfd68eejQoQPi4+Px9OlTWd1STk4OTp8+jX379skcp95GNDglJQVTpkxhRdfvuitVczm/oqIihIeHw8LCApaWlrh16xYA4Ndff4W6ujp0dXUxc+ZMrF27ljXC+/nnnwEAW7duhbq6OnsNp/HhAqES4oRTXaTs2bNnMpGQk5ODsrIypKamYvPmzVizZg3279/fYHedhIQE5gAkFQkpKSlMJIwZM4YdY1RUFNatW4cNGzbU2iG0OsRiNand4NGjRyEIQpUFpDg4idaGe/bsAaBc1K2wsJClESxevBg9e/ZkDikimZmZLJ3K19eXPb569WooFIp6n9ufhZKSEkyfPh1WVlaytKKioiJER0dDR0cHDg4ObBI/ceIELCwsYGFh0az8wRuTpKQkDBkypNY0usqI90V+fn6jRcPEHcZjx46xsUza/NDGxgbdu3dHUVERSkpKcPHiRdjZ2TGR8Lo+5ImJiSw1QowalpSUID4+HpGRkVi2bBlsbW3RoUMHqKmpQVVVlQkHX1/fWqP/1eHh4QGFQsFqv+zt7Wssupf2shHT7jgVDnHivDBv3rwqTkcLFiyAIAhQUVGR+dk7OTlhxowZCA8Pl1krA283VeTp06eYOXNms4is/xkQ76vi4mKEh4ejU6dOsLCwYAv+ixcvYty4cejYsSPU1NTQq1cvWUr0+vXreRpxE+NPLxDy8vLYICb+NyEhAR4eHjK7TpFnz55h4sSJUFVVxfLly9+Y84s4aQuCwG4o6SSZkpLCXCQmT57cYI/g6pxERJGQmJgIhUIBJycnZisqdXCJjIyEurq6rEGOMhQWFrLolCAIbFtfav+YkZGBoUOHwszMTPadvisFZ28KqSjLz89Hnz59MHLkyGr/vn///ip59GfOnFEqDY3zP6Q7CVLnrtpozBxa8V47efIkGyfE60L875AhQ9CvXz+W0lNWViYTCTt37nztnYSkpCTY2dlBEATs3Lmzyt9LSkqQnZ2Nw4cPY/v27RgxYgQGDBigVEGydGxctmwZzMzMEBoaitu3b8Pf3x/a2tqws7NTenzmOc8VVO6ZII6/s2fPZu5nYWFhWL16NebPn4/evXvD2NiYje1iNPiPor5CktNwTpw4Uef9VJdIKCwsRG5uLp48eSLr4XD37l04OTlh6NChst0rTuPypxcI0dHR2LlzJ0vdKS0tZQsrZ2fnatN2EhIS4OjoCG1tbaxZs4bl1wOvl8u6Y8cOWFpaQkdHh0WEpQPgo0ePWE6vm5ubzFe4LqQTYHUiYdy4cSgqKmL5/76+vrLUiOfPn2PGjBmwsrJSKudTPG7xcwsLCzFt2jQIggBXV1fZQCPuUERGRkIQBNy8eZO97s++9S9F/E7T0tJQWlqKoqIidO3aFW5ubuw5la0BTUxM4Orq2mAnLU4FUpGwcePGxj6cGnnx4gULNFTe8RDvqdjYWKirq1cpnhZFgmivGBYW9tr3n7Q7rNTyubqUicLCwnoHPh48eICffvoJ/v7+bAzPzs7Gxo0b6y0SOBVIRcKiRYvg6+vLivMr7zzm5+cjJycHp06dqnfgiNN8uHHjBgRBQP/+/evsaF6dSLC0tERMTIzseZcuXcKyZcuwdu1aDBkyBB07dmz29rTvGn9qgVBUVIThw4fDxMQEJ0+eRExMDMLCwvDq1Svs3r0benp6cHJyqlYkrFu3jkVNgoKC6h3JqClitW/fPpiamspEgnTSHDx4MDw9PdGlSxelUpkqpwpUV2woigQfHx+kp6fD39+fFRWGhYUhLCwMvr6+UFNTU9olCagQNBs3bmQRgYKCAkyePJktXiqnX6xZswba2toywcWpQPzd4uLioK2tjaCgIACAs7MzDAwM8Ntvv7HnSAWgtbU1PD09//gDfgeROooEBgY29uHUSHUe6uJ4k5aWhu7du8PR0ZEt0it34j579iycnZ3fWO1ETSLhdcXHsmXLIAgCFAoF6zgrXvs5OTlcJLwGokgQHa5CQ0PZdysN3lQ3j/HdmHePly9fYs6cOVBTU8OgQYPqLRIsLS1hamrK1jTZ2dks9djExARDhgx5I1bGnDfLn1YgiBdwTEwMLC0tWU6lk5MTSkpKkJWVhV27dslEglQELF++HFOnTkVISEi9cyDF93n27BlCQkIwd+5cmW1ceHg4zMzMoKOjgxs3brDHr1+/jr59++L06dNKuXuEhYWhX79+mDJlCnbu3IkbN27UOFGKEaPx48cjIyMDISEhMgeSbt26yWzW6prci4uLMXPmTAiCgDVr1rAIdlFREcaMGQOFQoGAgACWb3jr1i04OTnB1ta20bv5NiWk/TVevXoFDw8PZlMJVDSi6dChA5ydnRETEyPbubly5QrMzMwQFBQkSxXjNJykpCRYW1s3id4GtVGdVWtaWhp69OgBW1vbWncBy8rKlBpf6ns8b1ok/Prrr3B2doZCocCSJUvY+4n3gCgSOnTogL59+/LO6/Xk+fPnmDJlClRUVDBnzhw+Lv/JSU9PZ3UodYkE6XxTUlKC8PBwaGpqYt++few5GRkZSExMRHJyMt/hbqL8aQWCFNG9R09PD0FBQSxSIhUJgwcPxo0bN1BcXIwHDx5gyJAhSvubSyMq0sZDnTt3RqdOnaChoYE+ffrIIuf79+9nOwm7du3Ctm3b4Obmhm7duinVeCYnJ4c1sBEbYikUChgYGMDT0xP+/v64cuWKbEvP19cXqqqqGD9+PAoKCpCRkYGrV6/izp07rJdB5fOpjdjYWEyaNAkqKioIDAyUiQRRkHTs2BGDBg2CjY0NTExMlHZiepdZvXo1fv/9d9ljjx49wpIlS9C3b19ZG/r8/Hz8/PPP0NbWxsCBA7F9+3akpaXhwIEDcHNzg6mpKa85eMM0l8lMKhKWL18Oa2tr2NraNto2vlQkiEYHylLTmHP8+HHmwR8REcEel4oEMW1S9FjnKE/lmgRuQfnnRhmRIBX98fHxrP5ArGvkNB/eAwD6k/Dbb79RXFwc5eTk0L///W/q1q0btWjRgpYvX07nzp2j1NRUatmyJfn4+JC1tTW1atWKsrOz6fDhwxQQEEAff/wxffXVV5SZmUlpaWkUGhpK//73v+t9HE+fPqWhQ4fSv/71Lxo+fDi1b9+ePvvsM2rXrh3l5uZS27ZtiYjoyJEjtG7dOoqNjSUioq+++orWrFlDKioqSn1OYmIizZ07ly5dukQKhYJ69+5NERERlJaWRi9evGDP09bWJi0tLdLS0qKVK1fS8+fPqXPnzjRlyhRq37697D0B0HvvvVfls8rLy6lFixZVnhMfH09r166lQ4cO0ahRo8jFxYXatm1LxcXFNGfOHNq3bx9paGiQo6MjGRsb0xdffFHv7/Nd4syZM+Tu7k6dOnUib29v0tDQICKizZs305IlS4iIaPbs2eTo6Mhe8+rVKzpx4gQFBASw3/XDDz+kL774glauXKn09cKpHzXdC02J5ORkmjRpEt26dYvatWtHW7dupe+//75Rj2fy5Ml0/fp18vf3px9//LHO15SWltL7779PRESZmZmUmZlJLVu2pH/+859ERHTx4kVavHgx3bt3j5YsWUJ9+vQhIqKysjJq2bIl5ebmUmJiIikUird2Xu8yaWlptHDhQvr111/J2dmZPDw8qF27do19WJxGIiMjg9atW0fbtm0jPT09WrFiBf3tb38jIvmYeOfOHQoMDKQnT57Q6tWr2f0qXStwmjiNqU7+SKZMmQILCwsIgsDyKhcuXAigwiknOzsbd+/ehYWFBczMzLBv3z6Wo/vq1SscP34ctra2sLS0VLppybBhw6ptkb527VpYWFjIrClv3LiBlStXwtLSEl5eXsx+LzU1FcePH8fJkycblEebmJiIwYMHy+xLMzMzcerUKYSEhGDMmDGwtLRkOw1igyMVFZVqu0RXhxgxkPpiS6MIcXFxrB9CUFCQrCbBw8MD5ubmzSYq+7bJz8/Hjh07oKmpieHDh8uuke3bt0MQBBgZGeHSpUtVXpueno7w8HBs27YNZ86c+VN2ieVUJTExkTWxUtaF6W0fj4uLS73divz8/GBtbQ1BEKCpqQkvLy/mNHfp0iX07dsXgiDgwIEDAOTpRiI8P75hvHjxguWMT58+XeZAw/nzUddOwp07d+Dh4dHkTR04tfOnEAju7u4wMTFBcHAwYmNjERcXBz8/P5nPs7igvX37NszNzWFmZlbtNnhubq5S+bmZmZlwcnLCiRMnqrS29/f3h6mpKeLi4vDq1SusW7cOhoaGrDFYhw4d0KdPn9f2IheR2g1Kax1E8vLy8PDhQ/z888/w9/dHz549YWBggM2bNyv1/uXl5cjKyoKFhQWsra1ZoyOpSLh//z68vb2hoqKC9evXs3zWoqKiejVG+jOQn5+P7du3Q11dHW5ubrJ0I7E7tYODg6yBXHNppMNpHBpi1fo2qe/16uHhAUNDQ0yYMAFbtmzB6NGjYWBgACsrK5w5cwZARZffH3/8EYIgIDw8/C0c9Z+bFy9ewN3dvV5GFZx3F6lIcHR0ZCIhJiaGiQNpgJTXwDU/3nmBEBAQADMzM0RGRsqi4bVFkmJiYph/7759+3D9+nVERERUaRxTEyNGjMDhw4dRVlbGIi0ZGRns72IkuFu3bjA1NYWKigocHR1ZjuyhQ4cgCEKVpjOvQ33sBnNycmQRAemNHR0djVWrVsHX1xc///wzK/zLyclBUFAQ9PX1YW9vzx6XvvbMmTNsl+Knn35iHuyc/yFel1lZWew6GT9+vEwkbNy4kQ3KUpHAo6Oc2pCKhOp2Npsqu3fvhq6uLsLDw9lOY3Z2NqKjo2FhYQEbGxs8fvwYQEXHcNHm9eHDh3xR8oaRBsf4d8uRigQnJyecO3cOnp6eVXYO+NzUPHmnBUJeXh4cHBzg6+srEwfiwPbw4UMcOXIEy5Ytw8qVK5GQkMAW9DExMSwlSVdXFzo6OnVaewHAvXv3WPMx0Uo0KSkJ5ubmWLx4MXveTz/9BBsbG/Tr1w9RUVFISEhgf9u+fTsMDAyU6jdQH2pzEqlpsJfe2D4+PjA3N4eOjg7b8fD29pa57GzatAna2toykSDd5u/Xrx/69+8PAwMDXvBWCfG7jo+Ph6enJ7OqFAQBHh4eMkerDRs2sO3d69evN9IRc5obUqtWqStZU8bPzw/m5ubMg1+8T4qKinDo0CFoaWlh4sSJ7PknTpxgzRg5bwcuDjgiokjQ1NSEpqYmFwfvEO+0QHj06BE0NDSwY8cO2eMvX75EZGQkjIyMoKqqyhZhnTp1YvmrQMVkOmrUKIwdO7ZeHr0LFy6Euro6bt++DaBiwWdiYgI9PT2sWrWKPS8jI4OJCHERffv2bQwfPhz9+vWT7Tq8KRpqN+jh4QETExNs3boVjx8/Rm5uLoKDg9muivj6rKwsmUh48uQJe4/z58+jV69euHPnDu+WWAPJyckwNjaGk5MTNm3ahKNHj2LBggXQ0NCAm5tbtSLBxsZGVqvA4dTG48ePla6jamxKS0sxevRomJmZVZv3np6eDgcHB5ibm1fr7sYXJxzO2yc9PR1z5syBQqGQpSbz+6958067GOXk5FDv3r3JwMCAFi9eTO+99x5FRkbSiRMn6NChQ0REZGZmRurq6tSmTRuKjo6m58+fU1RUFHMSKisro5KSEmrdunWdn4f/X8F/+fJl8vT0JGNjY/L396e2bdvSw4cPaezYsfTkyRMaNmwYeXt7ExFRUVERhYaGUmxsLLVs2ZLi4uIoKSmJtm7dSoIgvJXvJTk5mSZMmEC3bt2i+fPnU//+/Wt9fnBwMO3cuZMmTJhA3bp1o48++qja55WUlNAHH3xAr169on379tGqVavohx9+IHd3dyosLKTIyEh6/vw5bd68mbtgVEK8dgIDA2nPnj20fPly0tPTI6KKa/DkyZM0YcIE6tChA3l7e5O2tjYREQUFBdG6devoyJEj9I9//KMRz4DTnBDv1aZETe4mCxcupG3bttHGjRvJ1NSUiORuKbNmzaLjx49TZGQk/fWvf/1Dj5nD4VSQlpZGjx8/Jn19fSLibkXvAu839gG8LcrLy6l169ZkbW1NmzdvpocPH1Lr1q3p999/pxYtWtC3335L/fv3p+HDh7OLWE1NjUaMGEFnzpwha2trAkAtW7akli1bKvWZ4oRlYGBApqamdPnyZUpLS6O2bdvS999/TytWrKBx48bR5s2b6b333qPRo0fThx9+SA8fPqRDhw5R+/bt6b///S8tWrTorVoRfvPNN7Rs2TKaPHkyzZgxg4qKimjw4ME1Pv/y5cukUCiqFQf379+nmzdv0vXr16m8vJx69+5NhoaG5ODgQC1atKCQkBDy9vamFi1aULt27Wjjxo1cHFSDeO3ExcXRBx98QGpqakRE7Brs2rUrzZ07l6ZNm0Yff/wxubi4kK6uLo0ePZqcnJzos88+a8Sj5zQ3moI4EG1IAVBZWRmzMn327Bm999579Ne//pVat25NQ4YMoejoaFq2bBl98cUX9O9//5uN2c+ePaO4uDjS0tKijz/+uDFPh8P5U/O3v/2N2Z1ycfBu8M4KhBYtWlCLFi2of//+lJeXR4cPH6acnBxq27Ytubu7k4GBAYvCitE0LS0tAkAFBQVERA3yOBcnPS8vLzp79iyFhITQ3LlziYjohx9+YCJh06ZNREQ0evRomjt3Lo0YMYI+++wzatmyJbVp0+bNfAm18M0339CSJUvIw8ODSkpKqn0OAEpLS6OYmBhycnKSiYNnz57RpUuXaP78+ZSfn88eP3ToEHl6etKoUaPIzs6OunTpQtHR0dSuXTvS19enr7766q2fW3Pm//7v/yg/P58KCwvpo48+ovLycraIMjExoe+++46OHj1KWVlZNGnSJNLQ0KC//OUvjX3YHE69OHDgAGVmZpKDgwO1bt2aiYPp06fTpUuXKD09naytrcnOzo709PRo5MiRtHjxYpowYQJ5eHiQiYkJpaSk0K+//kqxsbHk5+dHrVq1auSz4nA4RMTFwTvCO51iJFJYWEjZ2dmUn59PH3/8Mf39739nf5M24QkPD6dly5bRxo0b691cShQGIq9evSJfX1+6desWrV27ljQ0NNhnxcfH07hx4+jJkyc0YsQIGjVq1Js50QYgbcxWE/b29lRWVkbr16+ntm3b0sGDB+nYsWN08uRJIiLq1q0b6evr06effkqnT5+m6Oho2rt3L2/QVQs1RVhOnDhBY8eOpc6dO9PSpUupVatWVFRURB9++CEREbm6ulJBQQE9e/aMdu3axdOKOM2O3NxcsrGxoaysLJo8eTINGDCAPvjgAxo1ahRdvXqVdHV16b333qMTJ06QhoYGTZs2jXR0dGjPnj20fv16Sk5Opg8++IDef/99eu+998jT05Pc3d2JqHk0r+NwOJzmwDu1g1DT5NC6dWtZDYFUFIj/vXfvHkVGRtK3335bpXtwdXh6etKXX35JXbp0IVNTU5k4AECffvopubq6kouLC126dIk0NDSoZcuWVFZWxnYSJkyYQIGBgdSqVSsaMWLE655+gxDFQXXfnagde/fuTYsWLaJ+/frRp59+Sg8ePKAWLVrQf//7X7K1tSVXV1f2GhUVFTp37hxdunSJC4QaEMXk06dPKTo6mjIzM8nY2Jg6duxIRkZGZGVlRUeOHKFZs2bRokWLmDi4efMmpaSk0Pjx48nCwoI9zuE0J9q2bUshISE0duxYWrlyJQGgH374gVJSUmj27NlkYWFBbdq0odDQUPLz86O5c+fSrFmzaMCAAdSlSxcKCwujjIwM+uqrr0hFRYUMDQ2JiKc1cDgczpuk2e8gzJ8/nzQ1NalPnz5EVHcEqaCggE6ePEmff/45GRgYEBHR0aNHaffu3XT79m3asWMH/ec//6n1M58+fUpDhgyhtLQ0eu+998jKyopGjhxJ7du3p7Zt21JZWRm1aNGCysrKaPLkyXTx4kXasWMH/fvf/yai/01k9+/fp9mzZ9OCBQveas3B65KZmUm7du2iw4cP07Nnz6hNmzbk7u5Ourq6LFe+uLiYbfHr6uqSu7s7eXp6NuZhN0nE6zM+Pp5cXV3p1atXVFRURO+99x6NHTuWPD09KTs7myZNmkRnzpwhQRCod+/elJGRQdeuXaOkpCTavXs3ffPNN419KhxOvSgvL2c1NUREiYmJ5OXlRTk5OWRgYEDXr1+nffv20Weffcbukz179tDMmTNJVVWVJk+eTEZGRjW+NxcHHA6H8+Zo1gLh/v371LdvX/r+++9p7NixZGVlRUS1i4T79++Tl5cXPX36lPT09OjVq1eUkZFBf/3rXykgIID++9//KvXZeXl5dPv2bVqxYgXFxMRQ27ZtycjIiFxdXUlTU5M9LyIigqZPn07Tpk2jwYMHs+ixOKFJF9ZNGdHN6dWrV9SqVStZUay4IwOADh8+TAsXLqRly5YxAcapQPzNc3JyyMnJiT7//HNycnKisrIy2rt3L505c4Y8PT1pzJgxlJubSyEhIXT8+HG6d+8etWvXjr7//nuaOXOm0tcoh9OUSExMpMOHD9PgwYPZzmViYiKNHj2a4uLi6B//+Af9+uuv1KpVK5nLkigSNDU1acyYMczJiMPhcDhvj2YtEIiILl68SOPGjaN27drR+PHjlRIJ0dHRFBERQYmJifR///d/ZGJiQr1796Yvv/yy3p+flZVFsbGxtGvXLjp27BgrjDYzM6MuXboQEZGHhwc9fvyYfv311ypRruaaM1udTeK9e/fop59+ooyMDFq/fj19/vnnjXR0TQ/xd05LS6OPPvqIRo4cSa6urtS5c2ciInrw4AEFBwfToUOHaOTIkeTt7U0AqLy8nO7fv09ffPEFtWrVij755JNGPhMOp2GsW7eOgoKCaPz48TRs2DDas2cP9ejRgzIyMmjixIl0+/ZtGjt2LLm4uNBHH30kSwXdt28fTZ8+nb799lvatm0bffHFF418NhwOh/Nu0+wFAlGFSBgzZgx9/vnnSouE8vJyInqz1fanT5+ms2fP0t69e4mIqHPnzuTi4kLJycm0atUqsrOzY8V0zZnCwkKKioqi999/n3r27Ml2Dg4cOEAxMTG0ffv2P32Uu7prLzs7m3r16kW5ubn0+eefU1hYmMzyNT4+ntauXUuHDh2iUaNGkYuLS50F5BxOcyErK4sGDRpEjx8/pr///e+Uk5ND4eHh9O2337KdhOfPn9PYsWPJzs6OWrduLRMJO3bsoKKiInJzc2vkM+FwOJx3n3dCIBDVXyRIc1ZfN4pfOf/11q1bdOjQIQoPD6fWrVvTDz/8QE+ePCFBEGjFihXNPlc2NTWVvLy86O7du/Ttt99SSUkJ5efn01dffUWLFy/+04uDgoICZgkrvbZyc3Np69at9Msvv9DLly9p1apVZGJiInuOKBKOHj1KLi4u5Onpyf3dOc0eMZWyuLiYdHV1qWXLltS5c2eaO3cu2xUTaxJevnxJY8aMqVYkiDTXnVcOh8NpLrwzAoGI6MKFCzRmzBj629/+pvROwtuivLycsrKyaPXq1RQXF0eXL18mIqJLly69E02t4uPjadeuXZScnEwffvghGRsbU+fOnZVygHqXGTBgAKWnp1OfPn3IysqKFXGLZGdn0969e2n9+vX0z3/+k1asWEFfffWV7Bp9+PAhLV26lK5fv06//vorbyzHadZIAyinT5+mcePG0ccff0wZGRk0evRocnNzYy5zUpEwduxY6tevH7Vu3ZoLAg6Hw/mDaZYCQSz0LSwspIKCAvrkk09YhOn8+fM0duzYRhcJ0knx5cuXdOLECdLR0anTIYnTfHn8+DH16NGDiIg+//xzysvLIzs7OyaeRDIzMyk8PJwCAwNJEARavnw5ffnll7Jr9NGjR/Txxx//6QUX593By8uLLC0tacCAAfTy5UtydnamhIQE8vLyInd3d2bWkJiYSN7e3pScnExjxoyhoUOHKt3NnsPhcDhvhmYnEERx8PjxY1q8eDFzePH09CQTExNq06ZNjSLhj7bCe9ejXtLze9fPVRkKCwtpzpw5lJSURNra2vT8+XOKjIwkIiIrKyvq2bMndezYkdq1a0e5ubm0Z88eWrFiBamqqlYrEjicd4UnT57Q0KFD6dtvv6XFixdT+/bt6dWrV+To6EgJCQk0cuRI8vDwYCLh8ePH5OLiQh4eHuTo6NjIR8/hcDh/PppVMnx5eTm1bNmS4uLiyMHBgR48eEBffvklZWZm0rx58+jo0aOUm5tLJiYmtHLlSkpLS6Ply5dTdHQ0Ef3x7b/f9YWe9Pze9XNVhtatW5OxsTHFxMTQJ598Qn5+fhQcHExaWlp09uxZGj9+PDk7O1NkZCRlZGSQq6srjR8/nuLj48nHx4eePn3Kv0fOO8nXX39NdnZ2dP36dXr69CkREX366ae0e/du+u6772jt2rUUEhJCycnJdP78eSovL6eDBw9yccDhcDiNRLPbQUhNTSUXFxf6+uuvycvLi9TV1enWrVvk6upK33zzDbm7u1O3bt3o448/pvPnz9OECROoZcuWNG/ePFmaB4fzthg5ciRdu3aNQkND6bvvvqPnz59TbGwshYWF0YkTJ6h169b06aefkpubGykUCoqJiWF9I9avX1+lIJPDaepId77EXV4R0RI5NzeX7O3t6f/+7/8oJCSEPSc3N5ccHR0pLi6OvvrqK3r27BmtXr2a2UTzXTUOh8P542lWOwhERGfPnqWSkhIaNmwY6erqUqtWrejMmTP0/vvvU1lZGS1ZskS2k+Dv708ffvgh/fDDD4196Jw/CVZWVpSdnU2BgYFUUFBA7du3JwsLCxo2bBi1aNGC/vnPf9KLFy/I39+f5s2bR1FRUTRo0CCaOXMmFwecZom4gBd3eYkq0oSIiD744AMCQB9++CF17dqV7t27R+fOnSOiCnejtm3b0q5du6hr16709ddf09SpU5k4kL43h8PhcP44mt0Owpw5c+jXX3+l8+fPU8uWLSkiIoIWLlxIU6ZMIQ0NDRo2bBi1adOG3N3dydTUlNq3b0/5+fnUpk2bxj50zp8EAGRvb0/Pnj2jtWvXkoaGBp0/f558fHxIXV2d/Pz86OnTp3TmzBk6cOAApaen06+//krfffddYx86h1Mvbty4QfHx8ZScnEzGxsakUCiobdu2NGHCBDp37hz16dOHvLy86OOPP6ZWrVpRWloa9e3bl0xNTWnJkiVE9L8dhrKyMsrNzaW//OUvRPTH14xxOBwO5380aYFQeauaiGj9+vW0cuVKOnfuHCtU/v7772nMmDHUvn178vT0pFOnThERUffu3emnn36i999/n0ehOH8I4jUbGRlJEydOJFdXV+rbty8NHTqUtLS0yNfXl77//nv2/FevXlFeXl6DunhzOI1JaGgorVmzhvLy8igvL4+IiOzs7MjW1paeP39OISEhzETCxsaGevXqRQqFgjZt2kRBQUEUEBBAlpaWRFQ1jYinFXE4HE7j0qTzGVq2bEmPHj2iTZs20fTp06lNmzZkampKhoaG9Ne//pV27dpFaWlpNHbsWGYHCYBtVdvZ2dEHH3zQyGfB+TMhClotLS369ttvKSQkhHbs2EH6+vo0depU+ve//82eW1ZWRp9++il9+umnjXW4HE6D2Lp1Ky1evJgGDRpE3bt3p/z8fDp8+DCFh4dTq1ataPbs2WRqako3btyg0NBQ2rZtG+3evZtGjBhBf/3rX+m7776ja9eukbm5ORFVNZDg4oDD4XAalyYtEMrKyujgwYO0b98+KiwspEWLFrHGUwUFBXTw4EH64YcfyMjIiIiIfv/9d3r8+DENGjSInJ2dG/PQOX9yvvnmGxo5ciRNnTqVBEEgPz8/+sc//iF7Dvd25zRHtmzZQv7+/jRy5EgaPHgwff7550REpKKiQoWFhbRnzx768ccfSUtLi8zNzcnc3JyOHj1KZ86coVWrVpGmpibFxcXR8+fPaeDAgfTNN9808hlxOBwOpzJNOsGzZcuWNGDAAHJzc6OoqCiaPHkyFRQUsL99+eWXFBMTQ9evX6dTp07R+vXriYi4WxGnSaCtrU2CINDDhw+puLiYWrRoQU04o4/DqZPt27eTv78/eXl50ZAhQ5g4ICJq3749WVpaUmlpKcXGxhJRRZCHqKJwf/78+bRt2zb673//S99++y2lp6fThg0bqLi4uFHOhcPhcDg106R2EKQ1B2VlZdSiRQv66quvyNnZmcrLy2nLli1EROTv70+tW7emTp060e+//06DBg2ijz76iD755BNav349j0hxmgTfffcdWVhYUHBwMP3yyy80duxYIuLpE5zmydGjR2n+/PnUq1cvcnR0pHbt2hFRRVonAGrRogV99NFH1LJlS/r444+JSL5LBoA6dOhAampqlJeXR9OmTaMLFy5QQUEBtWrVitcdcDgcThOiSQkEsUNyfn4+qampMZHQvn17cnFxIaKK7W0AFBAQQC4uLvT3v/+dkpOTqWXLltSzZ88qaRwcTmMgLnbc3Nzo5MmTdPToUfL29uY2ppxmBwAqKyujZ8+e0eeff063bt2ixMRE+vzzz9mCXqwh2LdvH33++edkZmZW5X3E53700UfUpk0bmj9/PvXo0YN27txJI0eO5OKAw+FwmhBNKsUoNzeXvL29qV+/fnT79m1q2bIllZeXExHRF198QS4uLuTg4EBHjhyhadOmUXFxMVlbW5OHhwcNHz6ciwNOk0Fc7LRp04Z++OEHSkhIoPT09EY+Kg6n/pSUlND7779PAwYMIG9vbyooKKCpU6fSpUuXqLS0lF3rfn5+9Ntvv5G/vz999tlnLL2oJtq2bUt///vf6dmzZ3/EaXA4HA6nHjQpgdC2bVtydHRkaUW3bt2ili1bsonmiy++IGdnZ/rLX/5CBw4coJEjR1JRUREREc/t5jRJPvjgA/Lx8aGjR48ypy0Op7kQHh5O69evp4yMDPr444+pd+/eNHr0aCooKKBZs2bRtWvXiIho7ty5FB4eTvPmzSMDAwMiqrkIXxQUhw8fpsTERCooKKDy8nI+hnM4HE4TolHzHaprhDNo0CBq3bo1LV++nFxcXGjLli2kqalJxcXF1KpVK/ruu+/oP//5D33yyScUFxdHGRkZ9OWXX/LtaU6T5euvv27sQ+Bw6k1WVhZt2LCBEhMTqXXr1tSvXz9q164d9enTh4iIgoKCaObMmfT999/ThQsXaOHChdStWzel3Lny8/MpLi6OVFRUaOTIkbwhGofD4TQxGq1RmliQnJKSQkeOHKHk5GT6z3/+Qw4ODkREFBERQQEBAZSbm0shISGkpaVFRBWdO/38/MjHx4f09fXpo48+aozD53A4nHeemJgYmj9/Pj148IA8PT2pf//+1K5dO8rPz6dffvmFNm3aRMnJyeTh4UFeXl704YcfKv3eubm5VFJSQn/961/f4hlwOBwOpyH8YQJBulsg/v+4uDjy9PSk0tJSyszMpO+++47Wrl1LX331FRFVbG8HBARQXl4eTZ48mUpKSujUqVOUnJxMO3fulFnscTgcDufNc/fuXZo1axY9evRIJhLy8vIoIiKCNm3aRC1atKBFixaRnp6eUrsB3LGIw+FwmjaNtoPw9OlTGjp0KP3rX/+i4cOHU/v27emzzz6jdu3aUW5uLrVt25aIiI4cOULr1q1jvtpfffUVrVmzhlRUVBrjsDkcDudPR20i4eDBgxQUFEQfffQRq0HgKUMcDofTvHnrAmH48OFkbGxMbm5ussfXrVtHu3fvppUrV5KmpiYREd28eZNOnz5NERERpKqqSv369aMuXbrQ8+fP6c6dO9SiRQtSVVXlxZ4cDofzB1OTSBDTjYKCgqht27Y0e/Zs6tixIxcJHA6H04x5q0XKWVlZVFRURN999x2VlpbKPOCzs7OptLSU2rRpQzk5ObRz507asmULZWZm0n/+8x+6fPkyPXnyhPT19al9+/ZcFHA4HE4joqamRnPnzqVZs2bRunXriIiYSOjTpw+99957tGzZMho3bhz98ssvfMzmcDicZsxbEwju7u5kZ2dHW7duZT7amZmZrCDt66+/prS0NPLy8qKCggJ6+fIl6ejo0IwZM6hXr17066+/0vjx4+n27dtkYmLytg6Tw+FwOEpSm0iwsbGhwsJCatOmDRcHHA6H08x5KwLh/v37dObMGfroo4/I0tKSPvzwQ0pOTqYhQ4aQtbU1TZ48mQYPHkypqal06tQp+uSTT2jq1KmkpqZG//rXv4iIKCMjg/7yl7/QF1988TYOkcPhcDgNoLJIaNGiBbNAHTx4MNsprs7GmsPhcDjNg7cyeguCQM7OznTixAl68OABEREVFxdTaWkphYWFUWBgIBERTZgwgbZt20a7du0ia2tr+uabb4iowlrv1KlT9PXXX1O7du3exiFyOBwOp4GIIuG///0vrVixgnbs2EFFRUWyNFIuDjgcDqf58saLlEX7usuXL5OnpycZGxuTv78/tW3blh4+fEhjx46lJ0+e0LBhw8jb25uIiIqKiig0NJRiY2OpZcuWFBcXR0lJSbR161YSBOFNHh6Hw+Fw3hAxMTE0ceJEGjp0KA0aNKixD4fD4XA4b4g3HuIRva0NDAzI1NSUrl69SmlpaURE9P3339OKFSvo66+/ps2bN1NQUBAREX344Yf08OFDOnToEF2+fJn+9re/0Y4dO7g44HA4nCaMuro67dy5k4sDDofDecd4KzanYpfke/fukaOjI/Xu3Zvmzp3L/h4fH0/jxo2jp0+f0rBhw2j06NFERJScnEyfffYZtWzZktq0afOmD4vD4XA4bwne/IzD4XDeHd7oDkJZWRkREbVs2ZKIKpqaGRkZ0YkTJ+j27dtERFRaWko//PADrVixgv7xj3/Qxo0bafXq1URE9M0339Ann3zCxQGHw+E0M7g44HA4nHeH1xIInp6eNGfOHDp37hwR/U8YEFVEkz799FNydXWlzMxMunTpEntOWVkZEwn//Oc/KTAwkDZs2PA6h8LhcDgcDofD4XDeAA0WCE+fPqUHDx7Q3r17ycvLiyZOnEgPHz6k3NxcIqqwuANAOjo61L17d9q8eTM9evSI3nvvPWrZsiWVl5fTDz/8QEuWLCFtbW3q3LnzGzspDofD4XA4HA6H0zBeqwYhLy+Pbt++TStWrKCYmBhq27YtGRkZkaurK2lqarLnRURE0PTp02natGk0ePBgVqMg+mQXFxdTq1at3sgJcTgcDofD4XA4nIbzRoqUs7KyKDY2lnbt2kXHjh2jFi1aUP/+/cnMzIy6dOlCREQeHh70+PFj+vXXX6v4Y/PiNg6Hw+FwOBwOp2nwxl2MTp8+TWfPnqW9e/cSEVHnzp3JxcWFkpOTadWqVWRnZ0fu7u5v8iM5HA6Hw+FwOBzOG+KNCQQxXUjk1q1bdOjQIQoPD6fWrVvTDz/8QE+ePCFBEGjFihW8yyaHw+FwOBwOh9MEeSt9EETKy8spKyuLVq9eTXFxcXT58mUiIrp06RJ99tlnb+tjORwOh8PhcDgcTgN56wJB3Cl4+fIlnThxgnR0dOg///nP2/pIDofD4XA4HA6H8xq8VYFAxAuQORwOh8PhcDic5sRbLwTg4oDD4XA4HA6Hw2k+8EphDofD4XA4HA6Hw+ACgcPhcDgcDofD4TC4QOBwOBwOh8PhcDgMLhA4HA6Hw+FwOBwOgwsEDofD4XA4HA6Hw+ACgcPhcDgcDofD4TC4QOBwOBwOh8PhcDgMLhA4HA6Hw+FwOBwOgwsEDofD4XA4HA6Hw+ACgcPhcDgcDofD4TDeb+wD4HA4HM6flydPnlCXLl3IwMCAfv75ZyIiEgShyvM++OAD+vjjj+k///kP9e7dmwYMGEAtWshjXPv376epU6cq9bn3799//YPncDicdxQuEDgcDofT5Pjkk0/I2dmZ/buwsJBevnxJ58+fp1mzZtHhw4cpODiYWrVqVeW1BgYGZGBg8EceLofD4bxTcIHA4XA4nCbHp59+St7e3lUez83NJR8fHzp9+jTNnz+f5s6dW+U5BgYG1b6Ww+FwOMrBaxA4HA6H02xo27Yt/fTTT/S3v/2N9u7dS4mJiY19SBwOh/POwQUCh8PhcJoVn376KQ0YMIDKysro8OHDjX04HA6H887BBQKHw+Fwmh0dOnQgIqJr16418pFwOBzOuwevQeBwOBxOs6N9+/ZERJSWllblb5cvX6bAwMAaX2tmZkba2tpv69A4HA6n2cMFAofD4XCaHaJ7UW5ubpW/Xb58mS5fvlzjaz/55BMuEDgcDqcWuEDgcDgcTrMjLy+PiIjatGlT5W+jR4/mLkYcDofzGvAaBA6Hw+E0O54+fUpERN98800jHwmHw+G8e3CBwOFwOJxmx9WrV4mISEdHp5GPhMPhcN49uEDgcDgc/FmSrAAAAWRJREFUTrMiNzeXDhw4QO+//z717NmzsQ+Hw+Fw3jm4QOBwOBxOs6GgoICmTJlCGRkZ5ODgQF9++WVjHxKHw+G8c/AiZQ6Hw+E0OV69eiWzKi0uLqbU1FQ6f/48paenk6mpKU2ZMqXa19Zlc0pEZG1tTd9///0bPWYOh8N5V+ACgcPhcDhNjpycHAoKCmL/fv/99+kvf/kLqaqqko2NDfXp04datmxZ7WvrsjklIlJVVeUCgcPhcGrgPQBo7IPgcDgcDofD4XA4TQNeg8DhcDgcDofD4XAYXCBwOBwOh8PhcDgcBhcIHA6Hw+FwOBwOh8EFAofD4XA4HA6Hw2FwgcDhcDgcDofD4XAYXCBwOBwOh8PhcDgcBhcIHA6Hw+FwOBwOh8EFAofD4XA4HA6Hw2FwgcDhcDgcDofD4XAYXCBwOBwOh8PhcDgcBhcIHA6Hw+FwOBwOh8EFAofD4XA4HA6Hw2H8P3/5j+AsnaivAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 800x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# Split IDEs and explode into separate rows\n",
     "individual_ides = mydf2018['IDE'].str.split(';').explode()\n",
@@ -13122,16 +13193,29 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "## Coders perception about AI in 2018"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 553,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x1000 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "import random\n",
     "# Assuming df2018 is your DataFrame\n",
@@ -13206,32 +13290,32 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "##  Predicting the growth of languages for upcoming years based on the survey answers (2018, 2019, 2020)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 399,
+   "execution_count": 679,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Index(['MainBranch', 'Hobbyist', 'Age', 'ConvertedComp', 'Country',\n",
-      "       'DatabaseDesireNextYear', 'DatabaseWorkedWith', 'DevType', 'EdLevel',\n",
-      "       'Employment', 'Ethnicity', 'Gender', 'JobFactors', 'JobSat', 'JobSeek',\n",
-      "       'LanguageDesireNextYear', 'LanguageWorkedWith',\n",
-      "       'MiscTechDesireNextYear', 'MiscTechWorkedWith',\n",
-      "       'NEWCollabToolsDesireNextYear', 'NEWCollabToolsWorkedWith', 'NEWDevOps',\n",
-      "       'NEWDevOpsImpt', 'NEWEdImpt', 'UndergradMajor', 'YearsCodePro'],\n",
-      "      dtype='object')\n",
-      "Index(['Age', 'JobSatisfaction', 'SalaryUSD', 'Country', 'Dependents',\n",
-      "       'EdLevel', 'Employment', 'Ethnicity', 'Gender', 'Hobbyist',\n",
-      "       'CompetenceLevel', 'CurrentJobSatis', 'JobStatus',\n",
-      "       'LanguageDesireNextYear', 'LanguageWorkedWith', 'Profession',\n",
+      "Index(['Respondent', 'Hobby', 'OpenSource', 'Country', 'Student', 'Employment',\n",
+      "       'FormalEducation', 'UndergradMajor', 'CompanySize', 'DevType',\n",
+      "       ...\n",
+      "       'Exercise', 'Gender', 'SexualOrientation', 'EducationParents',\n",
+      "       'RaceEthnicity', 'Age', 'Dependents', 'MilitaryUS', 'SurveyTooLong',\n",
+      "       'SurveyEasy'],\n",
+      "      dtype='object', length=129)\n",
+      "Index(['Age', 'CareerSat', 'ConvertedComp', 'Country', 'Dependents', 'EdLevel',\n",
+      "       'Employment', 'Ethnicity', 'Gender', 'Hobbyist', 'ImpSyn', 'JobSat',\n",
+      "       'JobSeek', 'LanguageDesireNextYear', 'LanguageWorkedWith', 'MainBranch',\n",
       "       'UndergradMajor', 'YearsCodePro', 'DevType'],\n",
       "      dtype='object')\n",
       "Index(['Age', 'Gender', 'SalaryUSD', 'Country', 'DevType', 'Hobbyist',\n",
@@ -13243,32 +13327,32 @@
     }
    ],
    "source": [
-    "print(df.columns)\n",
+    "print(df2018.columns)\n",
     "print(survey_df_2019.columns)\n",
     "print(df2020.columns)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 400,
+   "execution_count": 680,
    "metadata": {},
    "outputs": [],
    "source": [
-    "df_18 = df['LanguageWorkedWith']\n",
+    "df_18 = df2018['LanguageWorkedWith']\n",
     "df_19 = survey_df_2019['LanguageWorkedWith']\n",
     "df_20 = df2020['LanguageWorkedWith']"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 404,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": []
   },
   {
    "cell_type": "code",
-   "execution_count": 405,
+   "execution_count": 681,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -13284,7 +13368,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 406,
+   "execution_count": 682,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -13300,7 +13384,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 407,
+   "execution_count": 683,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -13315,7 +13399,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 408,
+   "execution_count": 684,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -13331,12 +13415,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 409,
+   "execution_count": 685,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1200x800 with 1 Axes>"
       ]
@@ -13355,7 +13439,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "###  **Analysing the growth of languages from 2018 to 2020 before predicting part**\n",
     "\n",
@@ -13366,63 +13452,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 410,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#Preparing data for ML\n",
-    "df_language_2018 = language_2018[['Language', '2018']]\n",
-    "df_language_2018 = df_language_2018.rename(columns={'2018': 'Number'})\n",
-    "df_language_2018['Year'] = '2018'\n",
-    "df_language_2018['Year_Total'] = df_language_2018['Number'].sum()\n",
-    "df_language_2018['Fraction'] = df_language_2018['Number']/df_language_2018['Number'].sum()\n",
-    "df_language_2018 = df_language_2018[['Year', 'Language', 'Number', 'Year_Total', 'Fraction']]\n",
-    "df_language_2018.sort_values(by=['Fraction'], ascending=False, inplace=True)\n",
-    "#df_language_2018\n",
-    "df_language_2019 = language_2019[['Language', '2019']]\n",
-    "df_language_2019 = df_language_2019.rename(columns={'2019': 'Number'})\n",
-    "df_language_2019['Year'] = '2019'\n",
-    "df_language_2019['Year_Total'] = df_language_2019['Number'].sum()\n",
-    "df_language_2019['Fraction'] = df_language_2019['Number']/df_language_2019['Number'].sum()\n",
-    "df_language_2019 = df_language_2019[['Year', 'Language', 'Number', 'Year_Total', 'Fraction']]\n",
-    "df_language_2019.sort_values(by=['Fraction'], ascending=False, inplace=True)\n",
-    "#df_language_2019\n",
-    "df_language_2020 = language_2020[['Language', '2020']]\n",
-    "df_language_2020 = df_language_2020.rename(columns={'2020': 'Number'})\n",
-    "df_language_2020['Year'] = '2020'\n",
-    "df_language_2020['Year_Total'] = df_language_2020['Number'].sum()\n",
-    "df_language_2020['Fraction'] = df_language_2020['Number']/df_language_2020['Number'].sum()\n",
-    "df_language_2020 = df_language_2020[['Year', 'Language', 'Number', 'Year_Total', 'Fraction']]\n",
-    "df_language_2020.sort_values(by=['Fraction'], ascending=False, inplace=True)\n",
-    "#df_language_2020\n",
-    "\n",
-    "#Append Dataset 2018 x 2019 x 2020\n",
-    "df_language = pd.concat([df_language_2018[:10], df_language_2019[:10], df_language_2020[:10]] , axis=0)\n",
-    "#resetting the index values\n",
-    "df_language = df_language.reset_index(drop=True)\n",
-    "#df_language"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 411,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "cols = ['Language', 'Fraction']\n",
-    "df_language_2018_ = df_language_2018[cols][:10]\n",
-    "#df_language_2018_\n",
-    "cols = ['Language', 'Fraction']\n",
-    "df_language_2019_ = df_language_2019[cols][:10]\n",
-    "#df_language_2019_\n",
-    "cols = ['Language', 'Fraction']\n",
-    "df_language_2020_ = df_language_2020[cols][:10]\n",
-    "#df_language_2020_"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 412,
+   "execution_count": 690,
    "metadata": {},
    "outputs": [
     {
@@ -13445,171 +13475,504 @@
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
-       "      <th>Language</th>\n",
-       "      <th>JavaScript</th>\n",
-       "      <th>HTML/CSS</th>\n",
-       "      <th>SQL</th>\n",
-       "      <th>Python</th>\n",
-       "      <th>Java</th>\n",
-       "      <th>Bash/Shell/PowerShell</th>\n",
-       "      <th>C#</th>\n",
-       "      <th>PHP</th>\n",
-       "      <th>TypeScript</th>\n",
-       "      <th>C++</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Year</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
        "      <th></th>\n",
+       "      <th>Year</th>\n",
+       "      <th>Language</th>\n",
+       "      <th>Number</th>\n",
+       "      <th>Year_Total</th>\n",
+       "      <th>Fraction</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>2018-01-01</th>\n",
-       "      <td>0.134797</td>\n",
-       "      <td>0.125627</td>\n",
-       "      <td>0.109071</td>\n",
-       "      <td>0.087801</td>\n",
-       "      <td>0.080117</td>\n",
-       "      <td>0.065902</td>\n",
-       "      <td>0.062641</td>\n",
-       "      <td>0.052107</td>\n",
-       "      <td>0.050617</td>\n",
-       "      <td>0.047593</td>\n",
+       "      <th>0</th>\n",
+       "      <td>2018</td>\n",
+       "      <td>JavaScript</td>\n",
+       "      <td>54686</td>\n",
+       "      <td>485668</td>\n",
+       "      <td>0.112600</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2019-01-01</th>\n",
-       "      <td>0.136468</td>\n",
-       "      <td>0.126595</td>\n",
-       "      <td>0.109882</td>\n",
-       "      <td>0.081963</td>\n",
-       "      <td>0.080446</td>\n",
-       "      <td>0.074697</td>\n",
-       "      <td>0.062234</td>\n",
-       "      <td>0.051494</td>\n",
-       "      <td>0.044158</td>\n",
-       "      <td>0.044193</td>\n",
+       "      <th>1</th>\n",
+       "      <td>2018</td>\n",
+       "      <td>HTML</td>\n",
+       "      <td>53628</td>\n",
+       "      <td>485668</td>\n",
+       "      <td>0.110421</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2020-01-01</th>\n",
-       "      <td>0.137808</td>\n",
-       "      <td>0.126495</td>\n",
-       "      <td>0.112110</td>\n",
-       "      <td>0.086418</td>\n",
-       "      <td>0.078374</td>\n",
-       "      <td>0.069555</td>\n",
-       "      <td>0.063638</td>\n",
-       "      <td>0.051339</td>\n",
-       "      <td>0.054607</td>\n",
-       "      <td>0.043372</td>\n",
+       "      <th>2</th>\n",
+       "      <td>2018</td>\n",
+       "      <td>CSS</td>\n",
+       "      <td>50979</td>\n",
+       "      <td>485668</td>\n",
+       "      <td>0.104967</td>\n",
        "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "Language    JavaScript  HTML/CSS       SQL    Python      Java  \\\n",
-       "Year                                                             \n",
-       "2018-01-01    0.134797  0.125627  0.109071  0.087801  0.080117   \n",
-       "2019-01-01    0.136468  0.126595  0.109882  0.081963  0.080446   \n",
-       "2020-01-01    0.137808  0.126495  0.112110  0.086418  0.078374   \n",
-       "\n",
-       "Language    Bash/Shell/PowerShell        C#       PHP  TypeScript       C++  \n",
-       "Year                                                                         \n",
-       "2018-01-01               0.065902  0.062641  0.052107    0.050617  0.047593  \n",
-       "2019-01-01               0.074697  0.062234  0.051494    0.044158  0.044193  \n",
-       "2020-01-01               0.069555  0.063638  0.051339    0.054607  0.043372  "
-      ]
-     },
-     "execution_count": 412,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df_language_2018_.set_index('Language', inplace = True)\n",
-    "df_language_2018_t = df_language_2018_.T\n",
-    "df_language_2018_t['Year'] = '2018'\n",
-    "df_language_2018_t.Year = pd.to_datetime(df_language_2018_t.Year)\n",
-    "df_language_2018_t = df_language_2018_t[['Year','JavaScript', 'HTML/CSS', 'SQL', 'Python', 'Java', 'Bash/Shell/PowerShell', 'C#', 'PHP', 'TypeScript', 'C++']]\n",
-    "#df_language_2018_t\n",
-    "df_language_2019_.set_index('Language', inplace = True)\n",
-    "df_language_2019_t = df_language_2019_.T\n",
-    "df_language_2019_t['Year'] = '2019'\n",
-    "df_language_2019_t.Year = pd.to_datetime(df_language_2019_t.Year)\n",
-    "df_language_2019_t = df_language_2019_t[['Year','JavaScript', 'HTML/CSS', 'SQL', 'Python', 'Java', 'Bash/Shell/PowerShell', 'C#', 'PHP', 'TypeScript', 'C++']]\n",
-    "#df_language_2019_t\n",
-    "df_language_2020_.set_index('Language', inplace = True)\n",
-    "df_language_2020_t = df_language_2020_.T\n",
-    "df_language_2020_t['Year'] = '2020'\n",
-    "df_language_2020_t.Year = pd.to_datetime(df_language_2020_t.Year)\n",
-    "df_language_2020_t = df_language_2020_t[['Year','JavaScript', 'HTML/CSS', 'SQL', 'Python', 'Java', 'Bash/Shell/PowerShell', 'C#', 'PHP', 'TypeScript', 'C++']]\n",
-    "#df_language_2020_t\n",
-    "\n",
-    "#Append Dataset 2018 x 2019 x 2020\n",
-    "all_language = pd.concat([df_language_2018_t, df_language_2019_t, df_language_2020_t] , axis=0)\n",
-    "#resetting the index values\n",
-    "all_language = all_language.reset_index(drop=True)\n",
-    "all_language.set_index('Year', inplace = True)\n",
-    "all_language"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 413,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Index(['JavaScript', 'HTML/CSS', 'SQL', 'Python', 'Java',\n",
-       "       'Bash/Shell/PowerShell', 'C#', 'PHP', 'TypeScript', 'C++'],\n",
-       "      dtype='object', name='Language')"
-      ]
-     },
-     "execution_count": 413,
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2018</td>\n",
+       "      <td>SQL</td>\n",
+       "      <td>44670</td>\n",
+       "      <td>485668</td>\n",
+       "      <td>0.091976</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2018</td>\n",
+       "      <td>Java</td>\n",
+       "      <td>35521</td>\n",
+       "      <td>485668</td>\n",
+       "      <td>0.073138</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>2018</td>\n",
+       "      <td>Bash/Shell</td>\n",
+       "      <td>31172</td>\n",
+       "      <td>485668</td>\n",
+       "      <td>0.064184</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>2018</td>\n",
+       "      <td>Python</td>\n",
+       "      <td>30359</td>\n",
+       "      <td>485668</td>\n",
+       "      <td>0.062510</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>2018</td>\n",
+       "      <td>C#</td>\n",
+       "      <td>26954</td>\n",
+       "      <td>485668</td>\n",
+       "      <td>0.055499</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>2018</td>\n",
+       "      <td>PHP</td>\n",
+       "      <td>24071</td>\n",
+       "      <td>485668</td>\n",
+       "      <td>0.049563</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>2018</td>\n",
+       "      <td>C++</td>\n",
+       "      <td>19872</td>\n",
+       "      <td>485668</td>\n",
+       "      <td>0.040917</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>2018</td>\n",
+       "      <td>C</td>\n",
+       "      <td>18042</td>\n",
+       "      <td>485668</td>\n",
+       "      <td>0.037149</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>2018</td>\n",
+       "      <td>TypeScript</td>\n",
+       "      <td>13626</td>\n",
+       "      <td>485668</td>\n",
+       "      <td>0.028056</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>2018</td>\n",
+       "      <td>Ruby</td>\n",
+       "      <td>7911</td>\n",
+       "      <td>485668</td>\n",
+       "      <td>0.016289</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>2018</td>\n",
+       "      <td>Swift</td>\n",
+       "      <td>6310</td>\n",
+       "      <td>485668</td>\n",
+       "      <td>0.012992</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>2018</td>\n",
+       "      <td>Assembly</td>\n",
+       "      <td>5760</td>\n",
+       "      <td>485668</td>\n",
+       "      <td>0.011860</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>2018</td>\n",
+       "      <td>Go</td>\n",
+       "      <td>5532</td>\n",
+       "      <td>485668</td>\n",
+       "      <td>0.011390</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>2018</td>\n",
+       "      <td>Objective-C</td>\n",
+       "      <td>5510</td>\n",
+       "      <td>485668</td>\n",
+       "      <td>0.011345</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>2018</td>\n",
+       "      <td>VB.NET</td>\n",
+       "      <td>5254</td>\n",
+       "      <td>485668</td>\n",
+       "      <td>0.010818</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>2018</td>\n",
+       "      <td>R</td>\n",
+       "      <td>4813</td>\n",
+       "      <td>485668</td>\n",
+       "      <td>0.009910</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>2018</td>\n",
+       "      <td>Matlab</td>\n",
+       "      <td>4564</td>\n",
+       "      <td>485668</td>\n",
+       "      <td>0.009397</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>2018</td>\n",
+       "      <td>VBA</td>\n",
+       "      <td>3810</td>\n",
+       "      <td>485668</td>\n",
+       "      <td>0.007845</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>2018</td>\n",
+       "      <td>Kotlin</td>\n",
+       "      <td>3508</td>\n",
+       "      <td>485668</td>\n",
+       "      <td>0.007223</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>2018</td>\n",
+       "      <td>Scala</td>\n",
+       "      <td>3420</td>\n",
+       "      <td>485668</td>\n",
+       "      <td>0.007042</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>2018</td>\n",
+       "      <td>Groovy</td>\n",
+       "      <td>3373</td>\n",
+       "      <td>485668</td>\n",
+       "      <td>0.006945</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>2018</td>\n",
+       "      <td>Perl</td>\n",
+       "      <td>3280</td>\n",
+       "      <td>485668</td>\n",
+       "      <td>0.006754</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>2018</td>\n",
+       "      <td>Visual Basic 6</td>\n",
+       "      <td>3087</td>\n",
+       "      <td>485668</td>\n",
+       "      <td>0.006356</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>2018</td>\n",
+       "      <td>Lua</td>\n",
+       "      <td>2733</td>\n",
+       "      <td>485668</td>\n",
+       "      <td>0.005627</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>2018</td>\n",
+       "      <td>CoffeeScript</td>\n",
+       "      <td>2603</td>\n",
+       "      <td>485668</td>\n",
+       "      <td>0.005360</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>2018</td>\n",
+       "      <td>Delphi/Object Pascal</td>\n",
+       "      <td>2025</td>\n",
+       "      <td>485668</td>\n",
+       "      <td>0.004170</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>2018</td>\n",
+       "      <td>Haskell</td>\n",
+       "      <td>1961</td>\n",
+       "      <td>485668</td>\n",
+       "      <td>0.004038</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30</th>\n",
+       "      <td>2018</td>\n",
+       "      <td>Rust</td>\n",
+       "      <td>1857</td>\n",
+       "      <td>485668</td>\n",
+       "      <td>0.003824</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>31</th>\n",
+       "      <td>2018</td>\n",
+       "      <td>F#</td>\n",
+       "      <td>1115</td>\n",
+       "      <td>485668</td>\n",
+       "      <td>0.002296</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32</th>\n",
+       "      <td>2018</td>\n",
+       "      <td>Clojure</td>\n",
+       "      <td>1032</td>\n",
+       "      <td>485668</td>\n",
+       "      <td>0.002125</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>33</th>\n",
+       "      <td>2018</td>\n",
+       "      <td>Erlang</td>\n",
+       "      <td>886</td>\n",
+       "      <td>485668</td>\n",
+       "      <td>0.001824</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>34</th>\n",
+       "      <td>2018</td>\n",
+       "      <td>Cobol</td>\n",
+       "      <td>590</td>\n",
+       "      <td>485668</td>\n",
+       "      <td>0.001215</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>35</th>\n",
+       "      <td>2018</td>\n",
+       "      <td>Ocaml</td>\n",
+       "      <td>470</td>\n",
+       "      <td>485668</td>\n",
+       "      <td>0.000968</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>36</th>\n",
+       "      <td>2018</td>\n",
+       "      <td>Julia</td>\n",
+       "      <td>430</td>\n",
+       "      <td>485668</td>\n",
+       "      <td>0.000885</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>37</th>\n",
+       "      <td>2018</td>\n",
+       "      <td>Hack</td>\n",
+       "      <td>254</td>\n",
+       "      <td>485668</td>\n",
+       "      <td>0.000523</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    Year              Language  Number  Year_Total  Fraction\n",
+       "0   2018            JavaScript   54686      485668  0.112600\n",
+       "1   2018                  HTML   53628      485668  0.110421\n",
+       "2   2018                   CSS   50979      485668  0.104967\n",
+       "3   2018                   SQL   44670      485668  0.091976\n",
+       "4   2018                  Java   35521      485668  0.073138\n",
+       "5   2018            Bash/Shell   31172      485668  0.064184\n",
+       "6   2018                Python   30359      485668  0.062510\n",
+       "7   2018                    C#   26954      485668  0.055499\n",
+       "8   2018                   PHP   24071      485668  0.049563\n",
+       "9   2018                   C++   19872      485668  0.040917\n",
+       "10  2018                     C   18042      485668  0.037149\n",
+       "11  2018            TypeScript   13626      485668  0.028056\n",
+       "12  2018                  Ruby    7911      485668  0.016289\n",
+       "13  2018                 Swift    6310      485668  0.012992\n",
+       "14  2018              Assembly    5760      485668  0.011860\n",
+       "15  2018                    Go    5532      485668  0.011390\n",
+       "16  2018           Objective-C    5510      485668  0.011345\n",
+       "17  2018                VB.NET    5254      485668  0.010818\n",
+       "18  2018                     R    4813      485668  0.009910\n",
+       "19  2018                Matlab    4564      485668  0.009397\n",
+       "20  2018                   VBA    3810      485668  0.007845\n",
+       "21  2018                Kotlin    3508      485668  0.007223\n",
+       "22  2018                 Scala    3420      485668  0.007042\n",
+       "23  2018                Groovy    3373      485668  0.006945\n",
+       "24  2018                  Perl    3280      485668  0.006754\n",
+       "25  2018        Visual Basic 6    3087      485668  0.006356\n",
+       "26  2018                   Lua    2733      485668  0.005627\n",
+       "27  2018          CoffeeScript    2603      485668  0.005360\n",
+       "28  2018  Delphi/Object Pascal    2025      485668  0.004170\n",
+       "29  2018               Haskell    1961      485668  0.004038\n",
+       "30  2018                  Rust    1857      485668  0.003824\n",
+       "31  2018                    F#    1115      485668  0.002296\n",
+       "32  2018               Clojure    1032      485668  0.002125\n",
+       "33  2018                Erlang     886      485668  0.001824\n",
+       "34  2018                 Cobol     590      485668  0.001215\n",
+       "35  2018                 Ocaml     470      485668  0.000968\n",
+       "36  2018                 Julia     430      485668  0.000885\n",
+       "37  2018                  Hack     254      485668  0.000523"
+      ]
+     },
+     "execution_count": 690,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "all_language.columns"
+    "df_language_2018"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 414,
+   "execution_count": 686,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Preparing data for ML\n",
+    "df_language_2018 = language_2018[['Language', '2018']]\n",
+    "df_language_2018 = df_language_2018.rename(columns={'2018': 'Number'})\n",
+    "df_language_2018['Year'] = '2018'\n",
+    "df_language_2018['Year_Total'] = df_language_2018['Number'].sum()\n",
+    "df_language_2018['Fraction'] = df_language_2018['Number']/df_language_2018['Number'].sum()\n",
+    "df_language_2018 = df_language_2018[['Year', 'Language', 'Number', 'Year_Total', 'Fraction']]\n",
+    "df_language_2018.sort_values(by=['Fraction'], ascending=False, inplace=True)\n",
+    "#df_language_2018\n",
+    "df_language_2019 = language_2019[['Language', '2019']]\n",
+    "df_language_2019 = df_language_2019.rename(columns={'2019': 'Number'})\n",
+    "df_language_2019['Year'] = '2019'\n",
+    "df_language_2019['Year_Total'] = df_language_2019['Number'].sum()\n",
+    "df_language_2019['Fraction'] = df_language_2019['Number']/df_language_2019['Number'].sum()\n",
+    "df_language_2019 = df_language_2019[['Year', 'Language', 'Number', 'Year_Total', 'Fraction']]\n",
+    "df_language_2019.sort_values(by=['Fraction'], ascending=False, inplace=True)\n",
+    "#df_language_2019\n",
+    "df_language_2020 = language_2020[['Language', '2020']]\n",
+    "df_language_2020 = df_language_2020.rename(columns={'2020': 'Number'})\n",
+    "df_language_2020['Year'] = '2020'\n",
+    "df_language_2020['Year_Total'] = df_language_2020['Number'].sum()\n",
+    "df_language_2020['Fraction'] = df_language_2020['Number']/df_language_2020['Number'].sum()\n",
+    "df_language_2020 = df_language_2020[['Year', 'Language', 'Number', 'Year_Total', 'Fraction']]\n",
+    "df_language_2020.sort_values(by=['Fraction'], ascending=False, inplace=True)\n",
+    "#df_language_2020\n",
+    "\n",
+    "#Append Dataset 2018 x 2019 x 2020\n",
+    "df_language = pd.concat([df_language_2018[:10], df_language_2019[:10], df_language_2020[:10]] , axis=0)\n",
+    "#resetting the index values\n",
+    "df_language = df_language.reset_index(drop=True)\n",
+    "#df_language"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 691,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cols = ['Language', 'Fraction']\n",
+    "df_language_2018_ = df_language_2018[cols][:10]\n",
+    "#df_language_2018_\n",
+    "cols = ['Language', 'Fraction']\n",
+    "df_language_2019_ = df_language_2019[cols][:10]\n",
+    "#df_language_2019_\n",
+    "cols = ['Language', 'Fraction']\n",
+    "df_language_2020_ = df_language_2020[cols][:10]\n",
+    "#df_language_2020_"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 688,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "Text(0, 0.5, 'Fraction of total queries in the year (%)')"
-      ]
-     },
-     "execution_count": 414,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
+     "ename": "KeyError",
+     "evalue": "\"['HTML/CSS', 'Bash/Shell/PowerShell', 'TypeScript'] not in index\"",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
+      "Cell \u001b[1;32mIn[688], line 5\u001b[0m\n\u001b[0;32m      3\u001b[0m df_language_2018_t[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mYear\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m2018\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[0;32m      4\u001b[0m df_language_2018_t\u001b[38;5;241m.\u001b[39mYear \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mto_datetime(df_language_2018_t\u001b[38;5;241m.\u001b[39mYear)\n\u001b[1;32m----> 5\u001b[0m df_language_2018_t \u001b[38;5;241m=\u001b[39m \u001b[43mdf_language_2018_t\u001b[49m\u001b[43m[\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mYear\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mJavaScript\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mHTML/CSS\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mSQL\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mPython\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mJava\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mBash/Shell/PowerShell\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mC#\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mPHP\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mTypeScript\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mC++\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m]\u001b[49m\n\u001b[0;32m      6\u001b[0m \u001b[38;5;66;03m#df_language_2018_t\u001b[39;00m\n\u001b[0;32m      7\u001b[0m df_language_2019_\u001b[38;5;241m.\u001b[39mset_index(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mLanguage\u001b[39m\u001b[38;5;124m'\u001b[39m, inplace \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m)\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\pandas\\core\\frame.py:3902\u001b[0m, in \u001b[0;36mDataFrame.__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m   3900\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m is_iterator(key):\n\u001b[0;32m   3901\u001b[0m         key \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlist\u001b[39m(key)\n\u001b[1;32m-> 3902\u001b[0m     indexer \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcolumns\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_indexer_strict\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcolumns\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m[\u001b[38;5;241m1\u001b[39m]\n\u001b[0;32m   3904\u001b[0m \u001b[38;5;66;03m# take() does not accept boolean indexers\u001b[39;00m\n\u001b[0;32m   3905\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mgetattr\u001b[39m(indexer, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdtype\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m) \u001b[38;5;241m==\u001b[39m \u001b[38;5;28mbool\u001b[39m:\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\pandas\\core\\indexes\\base.py:6114\u001b[0m, in \u001b[0;36mIndex._get_indexer_strict\u001b[1;34m(self, key, axis_name)\u001b[0m\n\u001b[0;32m   6111\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m   6112\u001b[0m     keyarr, indexer, new_indexer \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_reindex_non_unique(keyarr)\n\u001b[1;32m-> 6114\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_raise_if_missing\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkeyarr\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mindexer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maxis_name\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m   6116\u001b[0m keyarr \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtake(indexer)\n\u001b[0;32m   6117\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(key, Index):\n\u001b[0;32m   6118\u001b[0m     \u001b[38;5;66;03m# GH 42790 - Preserve name from an Index\u001b[39;00m\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\pandas\\core\\indexes\\base.py:6178\u001b[0m, in \u001b[0;36mIndex._raise_if_missing\u001b[1;34m(self, key, indexer, axis_name)\u001b[0m\n\u001b[0;32m   6175\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNone of [\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mkey\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m] are in the [\u001b[39m\u001b[38;5;132;01m{\u001b[39;00maxis_name\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m]\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m   6177\u001b[0m not_found \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlist\u001b[39m(ensure_index(key)[missing_mask\u001b[38;5;241m.\u001b[39mnonzero()[\u001b[38;5;241m0\u001b[39m]]\u001b[38;5;241m.\u001b[39munique())\n\u001b[1;32m-> 6178\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mnot_found\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m not in index\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
+      "\u001b[1;31mKeyError\u001b[0m: \"['HTML/CSS', 'Bash/Shell/PowerShell', 'TypeScript'] not in index\""
+     ]
+    }
+   ],
+   "source": [
+    "df_language_2018_.set_index('Language', inplace = True)\n",
+    "df_language_2018_t = df_language_2018_.T\n",
+    "df_language_2018_t['Year'] = '2018'\n",
+    "df_language_2018_t.Year = pd.to_datetime(df_language_2018_t.Year)\n",
+    "df_language_2018_t = df_language_2018_t[['Year','JavaScript', 'HTML/CSS', 'SQL', 'Python', 'Java', 'Bash/Shell/PowerShell', 'C#', 'PHP', 'TypeScript', 'C++']]\n",
+    "#df_language_2018_t\n",
+    "df_language_2019_.set_index('Language', inplace = True)\n",
+    "df_language_2019_t = df_language_2019_.T\n",
+    "df_language_2019_t['Year'] = '2019'\n",
+    "df_language_2019_t.Year = pd.to_datetime(df_language_2019_t.Year)\n",
+    "df_language_2019_t = df_language_2019_t[['Year','JavaScript', 'HTML/CSS', 'SQL', 'Python', 'Java', 'Bash/Shell/PowerShell', 'C#', 'PHP', 'TypeScript', 'C++']]\n",
+    "#df_language_2019_t\n",
+    "df_language_2020_.set_index('Language', inplace = True)\n",
+    "df_language_2020_t = df_language_2020_.T\n",
+    "df_language_2020_t['Year'] = '2020'\n",
+    "df_language_2020_t.Year = pd.to_datetime(df_language_2020_t.Year)\n",
+    "df_language_2020_t = df_language_2020_t[['Year','JavaScript', 'HTML/CSS', 'SQL', 'Python', 'Java', 'Bash/Shell/PowerShell', 'C#', 'PHP', 'TypeScript', 'C++']]\n",
+    "#df_language_2020_t\n",
+    "\n",
+    "#Append Dataset 2018 x 2019 x 2020\n",
+    "all_language = pd.concat([df_language_2018_t, df_language_2019_t, df_language_2020_t] , axis=0)\n",
+    "#resetting the index values\n",
+    "all_language = all_language.reset_index(drop=True)\n",
+    "all_language.set_index('Year', inplace = True)\n",
+    "all_language"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 689,
+   "metadata": {},
+   "outputs": [
     {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1400x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
+     "ename": "NameError",
+     "evalue": "name 'all_language' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "Cell \u001b[1;32mIn[689], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[43mall_language\u001b[49m\u001b[38;5;241m.\u001b[39mcolumns\n",
+      "\u001b[1;31mNameError\u001b[0m: name 'all_language' is not defined"
+     ]
     }
    ],
+   "source": [
+    "all_language.columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "ax = all_language.plot(grid=True, lw=0.5, figsize=(14,6), marker='o')\n",
     "\n",
@@ -13639,7 +14002,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 415,
+   "execution_count": 719,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -13649,28 +14012,29 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 416,
+   "execution_count": 720,
    "metadata": {},
    "outputs": [],
    "source": [
     "sal_df = ['Age', 'Country', 'EdLevel', 'DevType', 'YearsCodePro', 'SalaryUSD']\n",
+    "\n",
     "df1 = cleaned_2018\n",
-    "df2 = survey_df_2019\n",
+    "df2 = cleaned_df_2019\n",
     "df3 = df2020"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 417,
+   "execution_count": 721,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(191693, 6)"
+       "(189833, 6)"
       ]
      },
-     "execution_count": 417,
+     "execution_count": 721,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -13685,16 +14049,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 418,
+   "execution_count": 722,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "8727"
+       "8676"
       ]
      },
-     "execution_count": 418,
+     "execution_count": 722,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -13708,7 +14072,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 419,
+   "execution_count": 724,
    "metadata": {},
    "outputs": [
     {
@@ -13743,7 +14107,7 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>28.0</td>\n",
+       "      <td>28</td>\n",
        "      <td>Canada</td>\n",
        "      <td>Bachelors</td>\n",
        "      <td>Data scientist</td>\n",
@@ -13752,7 +14116,7 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>21.0</td>\n",
+       "      <td>21</td>\n",
        "      <td>Canada</td>\n",
        "      <td>No Degree</td>\n",
        "      <td>Data scientist</td>\n",
@@ -13761,7 +14125,7 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>25.0</td>\n",
+       "      <td>25</td>\n",
        "      <td>Argentina</td>\n",
        "      <td>Masters</td>\n",
        "      <td>Data scientist</td>\n",
@@ -13770,21 +14134,21 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>19.0</td>\n",
-       "      <td>Netherlands</td>\n",
-       "      <td>Associate</td>\n",
+       "      <td>25</td>\n",
+       "      <td>United States</td>\n",
+       "      <td>Bachelors</td>\n",
        "      <td>Data scientist</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>87994.000000</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>66750.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>25.0</td>\n",
-       "      <td>United States</td>\n",
-       "      <td>Bachelors</td>\n",
+       "      <td>21</td>\n",
+       "      <td>India</td>\n",
+       "      <td>No Degree</td>\n",
        "      <td>Data scientist</td>\n",
        "      <td>6.0</td>\n",
-       "      <td>66750.000000</td>\n",
+       "      <td>4790.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -13796,7 +14160,7 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>8722</th>\n",
+       "      <th>8671</th>\n",
        "      <td>23</td>\n",
        "      <td>Russian Federation</td>\n",
        "      <td>Bachelors</td>\n",
@@ -13805,7 +14169,7 @@
        "      <td>33972.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>8723</th>\n",
+       "      <th>8672</th>\n",
        "      <td>27</td>\n",
        "      <td>Germany</td>\n",
        "      <td>Masters</td>\n",
@@ -13814,7 +14178,7 @@
        "      <td>97284.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>8724</th>\n",
+       "      <th>8673</th>\n",
        "      <td>47</td>\n",
        "      <td>United States</td>\n",
        "      <td>Bachelors</td>\n",
@@ -13823,7 +14187,7 @@
        "      <td>148951.282051</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>8725</th>\n",
+       "      <th>8674</th>\n",
        "      <td>33</td>\n",
        "      <td>Panama</td>\n",
        "      <td>Masters</td>\n",
@@ -13832,7 +14196,7 @@
        "      <td>72000.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>8726</th>\n",
+       "      <th>8675</th>\n",
        "      <td>28</td>\n",
        "      <td>United States</td>\n",
        "      <td>Masters</td>\n",
@@ -13842,40 +14206,40 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>8727 rows × 6 columns</p>\n",
+       "<p>8676 rows × 6 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "       Age             Country    EdLevel         DevType YearsCodePro  \\\n",
-       "0     28.0              Canada  Bachelors  Data scientist          3.0   \n",
-       "1     21.0              Canada  No Degree  Data scientist          4.0   \n",
-       "2     25.0           Argentina    Masters  Data scientist          3.0   \n",
-       "3     19.0         Netherlands  Associate  Data scientist          1.0   \n",
-       "4     25.0       United States  Bachelors  Data scientist          6.0   \n",
-       "...    ...                 ...        ...             ...          ...   \n",
-       "8722    23  Russian Federation  Bachelors  Data scientist          3.0   \n",
-       "8723    27             Germany    Masters  Data scientist          2.0   \n",
-       "8724    47       United States  Bachelors  Data scientist         22.0   \n",
-       "8725    33              Panama    Masters  Data scientist          2.0   \n",
-       "8726    28       United States    Masters  Data scientist          5.0   \n",
+       "     Age             Country    EdLevel         DevType YearsCodePro  \\\n",
+       "0     28              Canada  Bachelors  Data scientist          3.0   \n",
+       "1     21              Canada  No Degree  Data scientist          4.0   \n",
+       "2     25           Argentina    Masters  Data scientist          3.0   \n",
+       "3     25       United States  Bachelors  Data scientist          6.0   \n",
+       "4     21               India  No Degree  Data scientist          6.0   \n",
+       "...   ..                 ...        ...             ...          ...   \n",
+       "8671  23  Russian Federation  Bachelors  Data scientist          3.0   \n",
+       "8672  27             Germany    Masters  Data scientist          2.0   \n",
+       "8673  47       United States  Bachelors  Data scientist         22.0   \n",
+       "8674  33              Panama    Masters  Data scientist          2.0   \n",
+       "8675  28       United States    Masters  Data scientist          5.0   \n",
        "\n",
        "          SalaryUSD  \n",
        "0     366420.000000  \n",
        "1     170292.187500  \n",
        "2       8400.000000  \n",
-       "3      87994.000000  \n",
-       "4      66750.000000  \n",
+       "3      66750.000000  \n",
+       "4       4790.000000  \n",
        "...             ...  \n",
-       "8722   33972.000000  \n",
-       "8723   97284.000000  \n",
-       "8724  148951.282051  \n",
-       "8725   72000.000000  \n",
-       "8726  180000.000000  \n",
+       "8671   33972.000000  \n",
+       "8672   97284.000000  \n",
+       "8673  148951.282051  \n",
+       "8674   72000.000000  \n",
+       "8675  180000.000000  \n",
        "\n",
-       "[8727 rows x 6 columns]"
+       "[8676 rows x 6 columns]"
       ]
      },
-     "execution_count": 419,
+     "execution_count": 724,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -13887,7 +14251,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 420,
+   "execution_count": 725,
    "metadata": {},
    "outputs": [
     {
@@ -13896,7 +14260,7 @@
        "54049.0"
       ]
      },
-     "execution_count": 420,
+     "execution_count": 725,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -13909,7 +14273,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 421,
+   "execution_count": 726,
    "metadata": {},
    "outputs": [
     {
@@ -13933,7 +14297,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 422,
+   "execution_count": 727,
    "metadata": {},
    "outputs": [
     {
@@ -13943,17 +14307,17 @@
        "1       1\n",
        "2       0\n",
        "3       1\n",
-       "4       1\n",
+       "4       0\n",
        "       ..\n",
-       "8722    0\n",
-       "8723    1\n",
-       "8724    1\n",
-       "8725    1\n",
-       "8726    1\n",
-       "Name: gt_median, Length: 8727, dtype: int64"
+       "8671    0\n",
+       "8672    1\n",
+       "8673    1\n",
+       "8674    1\n",
+       "8675    1\n",
+       "Name: gt_median, Length: 8676, dtype: int64"
       ]
      },
-     "execution_count": 422,
+     "execution_count": 727,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -13967,7 +14331,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 423,
+   "execution_count": 728,
    "metadata": {},
    "outputs": [
     {
@@ -13991,16 +14355,16 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
-       "      <th>Age_16.0</th>\n",
-       "      <th>Age_17.0</th>\n",
-       "      <th>Age_18.0</th>\n",
-       "      <th>Age_19.0</th>\n",
-       "      <th>Age_20.0</th>\n",
-       "      <th>Age_20.9</th>\n",
-       "      <th>Age_21.0</th>\n",
-       "      <th>Age_22.0</th>\n",
-       "      <th>Age_23.0</th>\n",
-       "      <th>Age_24.0</th>\n",
+       "      <th>Age_16</th>\n",
+       "      <th>Age_17</th>\n",
+       "      <th>Age_18</th>\n",
+       "      <th>Age_19</th>\n",
+       "      <th>Age_20</th>\n",
+       "      <th>Age_21</th>\n",
+       "      <th>Age_22</th>\n",
+       "      <th>Age_23</th>\n",
+       "      <th>Age_24</th>\n",
+       "      <th>Age_25</th>\n",
        "      <th>...</th>\n",
        "      <th>YearsCodePro_34.0</th>\n",
        "      <th>YearsCodePro_35.0</th>\n",
@@ -14046,11 +14410,11 @@
        "      <td>False</td>\n",
        "      <td>False</td>\n",
        "      <td>False</td>\n",
-       "      <td>False</td>\n",
        "      <td>True</td>\n",
        "      <td>False</td>\n",
        "      <td>False</td>\n",
        "      <td>False</td>\n",
+       "      <td>False</td>\n",
        "      <td>...</td>\n",
        "      <td>False</td>\n",
        "      <td>False</td>\n",
@@ -14074,7 +14438,7 @@
        "      <td>False</td>\n",
        "      <td>False</td>\n",
        "      <td>False</td>\n",
-       "      <td>False</td>\n",
+       "      <td>True</td>\n",
        "      <td>...</td>\n",
        "      <td>False</td>\n",
        "      <td>False</td>\n",
@@ -14092,13 +14456,13 @@
        "      <td>False</td>\n",
        "      <td>False</td>\n",
        "      <td>False</td>\n",
-       "      <td>True</td>\n",
        "      <td>False</td>\n",
        "      <td>False</td>\n",
        "      <td>False</td>\n",
        "      <td>False</td>\n",
        "      <td>False</td>\n",
        "      <td>False</td>\n",
+       "      <td>True</td>\n",
        "      <td>...</td>\n",
        "      <td>False</td>\n",
        "      <td>False</td>\n",
@@ -14118,7 +14482,7 @@
        "      <td>False</td>\n",
        "      <td>False</td>\n",
        "      <td>False</td>\n",
-       "      <td>False</td>\n",
+       "      <td>True</td>\n",
        "      <td>False</td>\n",
        "      <td>False</td>\n",
        "      <td>False</td>\n",
@@ -14160,8 +14524,7 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>8722</th>\n",
-       "      <td>False</td>\n",
+       "      <th>8671</th>\n",
        "      <td>False</td>\n",
        "      <td>False</td>\n",
        "      <td>False</td>\n",
@@ -14171,6 +14534,7 @@
        "      <td>False</td>\n",
        "      <td>True</td>\n",
        "      <td>False</td>\n",
+       "      <td>False</td>\n",
        "      <td>...</td>\n",
        "      <td>False</td>\n",
        "      <td>False</td>\n",
@@ -14184,7 +14548,7 @@
        "      <td>False</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>8723</th>\n",
+       "      <th>8672</th>\n",
        "      <td>False</td>\n",
        "      <td>False</td>\n",
        "      <td>False</td>\n",
@@ -14208,7 +14572,7 @@
        "      <td>False</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>8724</th>\n",
+       "      <th>8673</th>\n",
        "      <td>False</td>\n",
        "      <td>False</td>\n",
        "      <td>False</td>\n",
@@ -14232,7 +14596,7 @@
        "      <td>False</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>8725</th>\n",
+       "      <th>8674</th>\n",
        "      <td>False</td>\n",
        "      <td>False</td>\n",
        "      <td>False</td>\n",
@@ -14256,7 +14620,7 @@
        "      <td>False</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>8726</th>\n",
+       "      <th>8675</th>\n",
        "      <td>False</td>\n",
        "      <td>False</td>\n",
        "      <td>False</td>\n",
@@ -14281,79 +14645,79 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>8727 rows × 225 columns</p>\n",
+       "<p>8676 rows × 220 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "      Age_16.0  Age_17.0  Age_18.0  Age_19.0  Age_20.0  Age_20.9  Age_21.0  \\\n",
-       "0        False     False     False     False     False     False     False   \n",
-       "1        False     False     False     False     False     False      True   \n",
-       "2        False     False     False     False     False     False     False   \n",
-       "3        False     False     False      True     False     False     False   \n",
-       "4        False     False     False     False     False     False     False   \n",
-       "...        ...       ...       ...       ...       ...       ...       ...   \n",
-       "8722     False     False     False     False     False     False     False   \n",
-       "8723     False     False     False     False     False     False     False   \n",
-       "8724     False     False     False     False     False     False     False   \n",
-       "8725     False     False     False     False     False     False     False   \n",
-       "8726     False     False     False     False     False     False     False   \n",
+       "      Age_16  Age_17  Age_18  Age_19  Age_20  Age_21  Age_22  Age_23  Age_24  \\\n",
+       "0      False   False   False   False   False   False   False   False   False   \n",
+       "1      False   False   False   False   False    True   False   False   False   \n",
+       "2      False   False   False   False   False   False   False   False   False   \n",
+       "3      False   False   False   False   False   False   False   False   False   \n",
+       "4      False   False   False   False   False    True   False   False   False   \n",
+       "...      ...     ...     ...     ...     ...     ...     ...     ...     ...   \n",
+       "8671   False   False   False   False   False   False   False    True   False   \n",
+       "8672   False   False   False   False   False   False   False   False   False   \n",
+       "8673   False   False   False   False   False   False   False   False   False   \n",
+       "8674   False   False   False   False   False   False   False   False   False   \n",
+       "8675   False   False   False   False   False   False   False   False   False   \n",
        "\n",
-       "      Age_22.0  Age_23.0  Age_24.0  ...  YearsCodePro_34.0  YearsCodePro_35.0  \\\n",
-       "0        False     False     False  ...              False              False   \n",
-       "1        False     False     False  ...              False              False   \n",
-       "2        False     False     False  ...              False              False   \n",
-       "3        False     False     False  ...              False              False   \n",
-       "4        False     False     False  ...              False              False   \n",
-       "...        ...       ...       ...  ...                ...                ...   \n",
-       "8722     False      True     False  ...              False              False   \n",
-       "8723     False     False     False  ...              False              False   \n",
-       "8724     False     False     False  ...              False              False   \n",
-       "8725     False     False     False  ...              False              False   \n",
-       "8726     False     False     False  ...              False              False   \n",
+       "      Age_25  ...  YearsCodePro_34.0  YearsCodePro_35.0  YearsCodePro_36.0  \\\n",
+       "0      False  ...              False              False              False   \n",
+       "1      False  ...              False              False              False   \n",
+       "2       True  ...              False              False              False   \n",
+       "3       True  ...              False              False              False   \n",
+       "4      False  ...              False              False              False   \n",
+       "...      ...  ...                ...                ...                ...   \n",
+       "8671   False  ...              False              False              False   \n",
+       "8672   False  ...              False              False              False   \n",
+       "8673   False  ...              False              False              False   \n",
+       "8674   False  ...              False              False              False   \n",
+       "8675   False  ...              False              False              False   \n",
        "\n",
-       "      YearsCodePro_36.0  YearsCodePro_37.0  YearsCodePro_38.0  \\\n",
+       "      YearsCodePro_37.0  YearsCodePro_38.0  YearsCodePro_39.0  \\\n",
        "0                 False              False              False   \n",
        "1                 False              False              False   \n",
        "2                 False              False              False   \n",
        "3                 False              False              False   \n",
        "4                 False              False              False   \n",
        "...                 ...                ...                ...   \n",
-       "8722              False              False              False   \n",
-       "8723              False              False              False   \n",
-       "8724              False              False              False   \n",
-       "8725              False              False              False   \n",
-       "8726              False              False              False   \n",
+       "8671              False              False              False   \n",
+       "8672              False              False              False   \n",
+       "8673              False              False              False   \n",
+       "8674              False              False              False   \n",
+       "8675              False              False              False   \n",
        "\n",
-       "      YearsCodePro_39.0  YearsCodePro_40.0  YearsCodePro_41.0  \\\n",
+       "      YearsCodePro_40.0  YearsCodePro_41.0  YearsCodePro_42.0  \\\n",
        "0                 False              False              False   \n",
        "1                 False              False              False   \n",
        "2                 False              False              False   \n",
        "3                 False              False              False   \n",
        "4                 False              False              False   \n",
        "...                 ...                ...                ...   \n",
-       "8722              False              False              False   \n",
-       "8723              False              False              False   \n",
-       "8724              False              False              False   \n",
-       "8725              False              False              False   \n",
-       "8726              False              False              False   \n",
+       "8671              False              False              False   \n",
+       "8672              False              False              False   \n",
+       "8673              False              False              False   \n",
+       "8674              False              False              False   \n",
+       "8675              False              False              False   \n",
        "\n",
-       "      YearsCodePro_42.0  YearsCodePro_46.0  \n",
-       "0                 False              False  \n",
-       "1                 False              False  \n",
-       "2                 False              False  \n",
-       "3                 False              False  \n",
-       "4                 False              False  \n",
-       "...                 ...                ...  \n",
-       "8722              False              False  \n",
-       "8723              False              False  \n",
-       "8724              False              False  \n",
-       "8725              False              False  \n",
-       "8726              False              False  \n",
+       "      YearsCodePro_46.0  \n",
+       "0                 False  \n",
+       "1                 False  \n",
+       "2                 False  \n",
+       "3                 False  \n",
+       "4                 False  \n",
+       "...                 ...  \n",
+       "8671              False  \n",
+       "8672              False  \n",
+       "8673              False  \n",
+       "8674              False  \n",
+       "8675              False  \n",
        "\n",
-       "[8727 rows x 225 columns]"
+       "[8676 rows x 220 columns]"
       ]
      },
-     "execution_count": 423,
+     "execution_count": 728,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -14368,7 +14732,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 424,
+   "execution_count": 729,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -14385,7 +14749,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 425,
+   "execution_count": 800,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -14417,16 +14781,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 426,
+   "execution_count": 801,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Time:  0.1345047950744629\n",
-      "{'Decision Trees': {'model': 'Decision Trees', 'accuracy': 0.8300878197785414, 'precision': 0.8640611724723875, 'recall': 0.7811059907834101, 'f1-score': 0.8204921339249698, 'r2': 0.32032898397069154}}\n",
-      "Accuracy on train set: 0.823510150622135\n"
+      "Time:  0.12143468856811523\n",
+      "{'Decision Trees': {'model': 'Decision Trees', 'accuracy': 0.80945063388398, 'precision': 0.8414634146341463, 'recall': 0.7747005988023952, 'f1-score': 0.8067030397505845, 'r2': 0.23726658758253028}}\n",
+      "Accuracy on train set: 0.835336736374115\n"
      ]
     }
    ],
@@ -14451,15 +14815,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 427,
+   "execution_count": 802,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "{'Multinomial Naive Bayes': {'model': 'Multinomial Naive Bayes', 'accuracy': 0.8335242458953799, 'precision': 0.8315467075038285, 'recall': 0.8341013824884793, 'f1-score': 0.8328220858895706, 'r2': 0.3340751393510596}}\n",
-      "Accuracy on train set: 0.8366077275703995\n"
+      "{'Multinomial Naive Bayes': {'model': 'Multinomial Naive Bayes', 'accuracy': 0.8271225509028045, 'precision': 0.825735294117647, 'recall': 0.8405688622754491, 'f1-score': 0.8330860534124629, 'r2': 0.308003960508344}}\n",
+      "Accuracy on train set: 0.8417586036555245\n"
      ]
     }
    ],
@@ -14483,16 +14847,81 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 428,
+   "execution_count": 803,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.cluster import KMeans\n",
+    "from sklearn.neighbors import KNeighborsClassifier\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 804,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Best parameters: {'n_neighbors': 31}\n",
+      "Best score: 0.7946668836143485\n"
+     ]
+    }
+   ],
+   "source": [
+    "#K nearest neighbour grid Search\n",
+    "param_grid = { 'n_neighbors' : [7, 21, 25, 31, 35, 49, 55, 81],}\n",
+    "knn = KNeighborsClassifier()\n",
+    "grid_search = GridSearchCV(estimator=knn, param_grid=param_grid, cv=5, scoring='accuracy')\n",
+    "grid_search.fit(X_train, y_train)\n",
+    "print(\"Best parameters:\", grid_search.best_params_)\n",
+    "print(\"Best score:\", grid_search.best_score_)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 805,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'K Nearest Neighbour': {'model': 'K Nearest Neighbour', 'accuracy': 0.7825585862466385, 'precision': 0.775, 'recall': 0.812125748502994, 'f1-score': 0.7931286549707602, 'r2': 0.1296227592171616}}\n",
+      "Accuracy on train set: 0.8159064712662605\n"
+     ]
+    }
+   ],
+   "source": [
+    "#K nearest neighbour\n",
+    "start = time.time()\n",
+    "knn = KNeighborsClassifier(n_neighbors=31)\n",
+    "knn.fit(X_train, y_train)\n",
+    "end = time.time()\n",
+    "TimeKnn = end-start\n",
+    "\n",
+    "y_pred = knn.predict(X_test)\n",
+    "all_metrics.update(metrics_data(\"K Nearest Neighbour\",y_test,y_pred))\n",
+    "\n",
+    "y_pred = knn.predict(X_train)\n",
+    "accuracyknn = accuracy_score(y_train, y_pred)\n",
+    "print('Accuracy on train set: {}'.format(accuracyknn))\n",
+    "                   "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 806,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Time:  0.06251049041748047\n",
-      "{'Gaussian Naive Bayes': {'model': 'Gaussian Naive Bayes', 'accuracy': 0.6380297823596792, 'precision': 0.5806745670009116, 'recall': 0.978494623655914, 'f1-score': 0.72883295194508, 'r2': -0.4479283667320999}}\n",
-      "Accuracy on train set: 0.64603798297315\n"
+      "Time:  0.05528759956359863\n",
+      "{'Gaussian Naive Bayes': {'model': 'Gaussian Naive Bayes', 'accuracy': 0.6519400691509797, 'precision': 0.5985334555453712, 'recall': 0.9775449101796407, 'f1-score': 0.7424673109721432, 'r2': -0.39321869284320066}}\n",
+      "Accuracy on train set: 0.6426807179318295\n"
      ]
     }
    ],
@@ -14517,16 +14946,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 429,
+   "execution_count": 807,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Time:  0.3533344268798828\n",
-      "{'Logistic Regression': {'model': 'Logistic Regression', 'accuracy': 0.8518518518518519, 'precision': 0.8520801232665639, 'recall': 0.8494623655913979, 'f1-score': 0.8507692307692308, 'r2': 0.4073879680463558}}\n",
-      "Accuracy on train set: 0.8542894564505567\n"
+      "Time:  0.18366360664367676\n",
+      "{'Logistic Regression': {'model': 'Logistic Regression', 'accuracy': 0.837879369957741, 'precision': 0.8395245170876672, 'recall': 0.8458083832335329, 'f1-score': 0.8426547352721849, 'r2': 0.35106149185449154}}\n",
+      "Accuracy on train set: 0.8618475218178824\n"
      ]
     }
    ],
@@ -14551,16 +14980,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 430,
+   "execution_count": 808,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Time:  2.036736011505127\n",
-      "{'Random Forest': {'model': 'Random Forest', 'accuracy': 0.8369606720122184, 'precision': 0.8497202238209433, 'recall': 0.8164362519201229, 'f1-score': 0.8327457892675285, 'r2': 0.34782129473142764}}\n",
-      "Accuracy on train set: 0.9616895874263262\n"
+      "Time:  2.1680569648742676\n",
+      "{'Random Forest': {'model': 'Random Forest', 'accuracy': 0.8374951978486362, 'precision': 0.849808429118774, 'recall': 0.8300898203592815, 'f1-score': 0.8398333964407422, 'r2': 0.3495237228778434}}\n",
+      "Accuracy on train set: 0.9617981228387946\n"
      ]
     }
    ],
@@ -14585,16 +15014,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 431,
+   "execution_count": 809,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Time:  0.09779191017150879\n",
-      "{'LinearSVC': {'model': 'LinearSVC', 'accuracy': 0.8518518518518519, 'precision': 0.8395245170876672, 'recall': 0.8678955453149002, 'f1-score': 0.8534743202416918, 'r2': 0.4073879680463558}}\n",
-      "Accuracy on train set: 0.8551080550098232\n"
+      "Time:  0.05356025695800781\n",
+      "{'LinearSVC': {'model': 'LinearSVC', 'accuracy': 0.8394160583941606, 'precision': 0.834061135371179, 'recall': 0.8577844311377245, 'f1-score': 0.8457564575645756, 'r2': 0.357212567761084}}\n",
+      "Accuracy on train set: 0.8608595422361272\n"
      ]
     }
    ],
@@ -14619,16 +15048,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 432,
+   "execution_count": 810,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Time:  1.832817792892456\n",
-      "{'Gradient Boosting Classifier': {'model': 'Gradient Boosting Classifier', 'accuracy': 0.8323787705231004, 'precision': 0.8672340425531915, 'recall': 0.782642089093702, 'f1-score': 0.8227694792087203, 'r2': 0.32949308755760354}}\n",
-      "Accuracy on train set: 0.8446299934512115\n"
+      "Time:  2.238436222076416\n",
+      "{'Gradient Boosting Classifier': {'model': 'Gradient Boosting Classifier', 'accuracy': 0.8186707645024971, 'precision': 0.8489499192245558, 'recall': 0.7866766467065869, 'f1-score': 0.8166278166278166, 'r2': 0.2741730430220852}}\n",
+      "Accuracy on train set: 0.8491684505186893\n"
      ]
     }
    ],
@@ -14655,770 +15084,770 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 433,
+   "execution_count": 811,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
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+      "747:\tlearn: 0.3065322\ttotal: 2.44s\tremaining: 19.6ms\n",
+      "748:\tlearn: 0.3064919\ttotal: 2.45s\tremaining: 16.3ms\n",
+      "749:\tlearn: 0.3064831\ttotal: 2.45s\tremaining: 13.1ms\n",
+      "750:\tlearn: 0.3064724\ttotal: 2.45s\tremaining: 9.79ms\n",
+      "751:\tlearn: 0.3064040\ttotal: 2.46s\tremaining: 6.53ms\n",
+      "752:\tlearn: 0.3063786\ttotal: 2.46s\tremaining: 3.27ms\n",
+      "753:\tlearn: 0.3063639\ttotal: 2.46s\tremaining: 0us\n",
+      "Time:  2.7253005504608154\n",
+      "{'CatBoost': {'model': 'CatBoost', 'accuracy': 0.8386477141759509, 'precision': 0.8423019431988041, 'recall': 0.843562874251497, 'f1-score': 0.8429319371727748, 'r2': 0.3541370298077877}}\n",
+      "Accuracy on train set: 0.8763378890169603\n"
      ]
     }
    ],
@@ -15446,6 +15875,796 @@
     "print('Accuracy on train set: {}'.format(accuracy_catboost_train))\n"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 812,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
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+      "753:\tlearn: 0.3063639\ttotal: 2.31s\tremaining: 0us\n",
+      "{'Ensembled': {'model': 'Ensembled', 'accuracy': 0.837879369957741, 'precision': 0.8283045977011494, 'recall': 0.8630239520958084, 'f1-score': 0.8453079178885631, 'r2': 0.35106149185449154}}\n",
+      "Accuracy on train set: 0.8862176848345135\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Ensemble Models\n",
+    "from sklearn.ensemble import VotingClassifier\n",
+    "start = time.time()\n",
+    "ensemble_clf = VotingClassifier(\n",
+    "    estimators=[('Decision Trees', modelDC), ('K Nearest Neighbour', knn), ('Multinomial Naive Bayes', modelNB), ('Gaussian Naive Bayes', modelGNB), \n",
+    "               ('Logistic Regression', modelLR), ('Random Forest', rfc),('Gradient Boosting Classifier', grb),\n",
+    "                ('CatBoost', catboost_clf) ],\n",
+    "    voting='soft'\n",
+    ")\n",
+    "ensemble_clf.fit(X_train, y_train)\n",
+    "end=time.time()\n",
+    "timeens= end - start\n",
+    "y_pred_test = ensemble_clf.predict(X_test)\n",
+    "all_metrics.update(metrics_data(\"Ensembled\", y_test, y_pred_test))\n",
+    "\n",
+    "#Evaluating model on train set\n",
+    "y_pred = ensemble_clf.predict(X_train)\n",
+    "accuracy1 = accuracy_score(y_train, y_pred)\n",
+    "print('Accuracy on train set: {}'.format(accuracy1))\n"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -15455,7 +16674,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 434,
+   "execution_count": 813,
    "metadata": {},
    "outputs": [
     {
@@ -15491,74 +16710,92 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>Decision Trees</td>\n",
-       "      <td>0.830088</td>\n",
-       "      <td>0.864061</td>\n",
-       "      <td>0.781106</td>\n",
-       "      <td>0.820492</td>\n",
-       "      <td>0.320329</td>\n",
+       "      <td>0.809451</td>\n",
+       "      <td>0.841463</td>\n",
+       "      <td>0.774701</td>\n",
+       "      <td>0.806703</td>\n",
+       "      <td>0.237267</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>Multinomial Naive Bayes</td>\n",
-       "      <td>0.833524</td>\n",
-       "      <td>0.831547</td>\n",
-       "      <td>0.834101</td>\n",
-       "      <td>0.832822</td>\n",
-       "      <td>0.334075</td>\n",
+       "      <td>0.827123</td>\n",
+       "      <td>0.825735</td>\n",
+       "      <td>0.840569</td>\n",
+       "      <td>0.833086</td>\n",
+       "      <td>0.308004</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>Gaussian Naive Bayes</td>\n",
-       "      <td>0.63803</td>\n",
-       "      <td>0.580675</td>\n",
-       "      <td>0.978495</td>\n",
-       "      <td>0.728833</td>\n",
-       "      <td>-0.447928</td>\n",
+       "      <td>K Nearest Neighbour</td>\n",
+       "      <td>0.782559</td>\n",
+       "      <td>0.775</td>\n",
+       "      <td>0.812126</td>\n",
+       "      <td>0.793129</td>\n",
+       "      <td>0.129623</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>Logistic Regression</td>\n",
-       "      <td>0.851852</td>\n",
-       "      <td>0.85208</td>\n",
-       "      <td>0.849462</td>\n",
-       "      <td>0.850769</td>\n",
-       "      <td>0.407388</td>\n",
+       "      <td>Gaussian Naive Bayes</td>\n",
+       "      <td>0.65194</td>\n",
+       "      <td>0.598533</td>\n",
+       "      <td>0.977545</td>\n",
+       "      <td>0.742467</td>\n",
+       "      <td>-0.393219</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>Random Forest</td>\n",
-       "      <td>0.836961</td>\n",
-       "      <td>0.84972</td>\n",
-       "      <td>0.816436</td>\n",
-       "      <td>0.832746</td>\n",
-       "      <td>0.347821</td>\n",
+       "      <td>Logistic Regression</td>\n",
+       "      <td>0.837879</td>\n",
+       "      <td>0.839525</td>\n",
+       "      <td>0.845808</td>\n",
+       "      <td>0.842655</td>\n",
+       "      <td>0.351061</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
-       "      <td>LinearSVC</td>\n",
-       "      <td>0.851852</td>\n",
-       "      <td>0.839525</td>\n",
-       "      <td>0.867896</td>\n",
-       "      <td>0.853474</td>\n",
-       "      <td>0.407388</td>\n",
+       "      <td>Random Forest</td>\n",
+       "      <td>0.837495</td>\n",
+       "      <td>0.849808</td>\n",
+       "      <td>0.83009</td>\n",
+       "      <td>0.839833</td>\n",
+       "      <td>0.349524</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6</th>\n",
-       "      <td>Gradient Boosting Classifier</td>\n",
-       "      <td>0.832379</td>\n",
-       "      <td>0.867234</td>\n",
-       "      <td>0.782642</td>\n",
-       "      <td>0.822769</td>\n",
-       "      <td>0.329493</td>\n",
+       "      <td>LinearSVC</td>\n",
+       "      <td>0.839416</td>\n",
+       "      <td>0.834061</td>\n",
+       "      <td>0.857784</td>\n",
+       "      <td>0.845756</td>\n",
+       "      <td>0.357213</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7</th>\n",
+       "      <td>Gradient Boosting Classifier</td>\n",
+       "      <td>0.818671</td>\n",
+       "      <td>0.84895</td>\n",
+       "      <td>0.786677</td>\n",
+       "      <td>0.816628</td>\n",
+       "      <td>0.274173</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
        "      <td>CatBoost</td>\n",
-       "      <td>0.854525</td>\n",
-       "      <td>0.852874</td>\n",
-       "      <td>0.854839</td>\n",
-       "      <td>0.853855</td>\n",
-       "      <td>0.418079</td>\n",
+       "      <td>0.838648</td>\n",
+       "      <td>0.842302</td>\n",
+       "      <td>0.843563</td>\n",
+       "      <td>0.842932</td>\n",
+       "      <td>0.354137</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>Ensembled</td>\n",
+       "      <td>0.837879</td>\n",
+       "      <td>0.828305</td>\n",
+       "      <td>0.863024</td>\n",
+       "      <td>0.845308</td>\n",
+       "      <td>0.351061</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -15566,27 +16803,31 @@
       ],
       "text/plain": [
        "                          model  accuracy precision    recall  f1-score  \\\n",
-       "0                Decision Trees  0.830088  0.864061  0.781106  0.820492   \n",
-       "1       Multinomial Naive Bayes  0.833524  0.831547  0.834101  0.832822   \n",
-       "2          Gaussian Naive Bayes   0.63803  0.580675  0.978495  0.728833   \n",
-       "3           Logistic Regression  0.851852   0.85208  0.849462  0.850769   \n",
-       "4                 Random Forest  0.836961   0.84972  0.816436  0.832746   \n",
-       "5                     LinearSVC  0.851852  0.839525  0.867896  0.853474   \n",
-       "6  Gradient Boosting Classifier  0.832379  0.867234  0.782642  0.822769   \n",
-       "7                      CatBoost  0.854525  0.852874  0.854839  0.853855   \n",
+       "0                Decision Trees  0.809451  0.841463  0.774701  0.806703   \n",
+       "1       Multinomial Naive Bayes  0.827123  0.825735  0.840569  0.833086   \n",
+       "2           K Nearest Neighbour  0.782559     0.775  0.812126  0.793129   \n",
+       "3          Gaussian Naive Bayes   0.65194  0.598533  0.977545  0.742467   \n",
+       "4           Logistic Regression  0.837879  0.839525  0.845808  0.842655   \n",
+       "5                 Random Forest  0.837495  0.849808   0.83009  0.839833   \n",
+       "6                     LinearSVC  0.839416  0.834061  0.857784  0.845756   \n",
+       "7  Gradient Boosting Classifier  0.818671   0.84895  0.786677  0.816628   \n",
+       "8                      CatBoost  0.838648  0.842302  0.843563  0.842932   \n",
+       "9                     Ensembled  0.837879  0.828305  0.863024  0.845308   \n",
        "\n",
        "         r2  \n",
-       "0  0.320329  \n",
-       "1  0.334075  \n",
-       "2 -0.447928  \n",
-       "3  0.407388  \n",
-       "4  0.347821  \n",
-       "5  0.407388  \n",
-       "6  0.329493  \n",
-       "7  0.418079  "
+       "0  0.237267  \n",
+       "1  0.308004  \n",
+       "2  0.129623  \n",
+       "3 -0.393219  \n",
+       "4  0.351061  \n",
+       "5  0.349524  \n",
+       "6  0.357213  \n",
+       "7  0.274173  \n",
+       "8  0.354137  \n",
+       "9  0.351061  "
       ]
      },
-     "execution_count": 434,
+     "execution_count": 813,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -15599,7 +16840,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 437,
+   "execution_count": 818,
    "metadata": {},
    "outputs": [
     {
@@ -15632,50 +16873,62 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>Decision Trees</td>\n",
-       "      <td>0.823510</td>\n",
-       "      <td>0.134505</td>\n",
+       "      <td>0.835337</td>\n",
+       "      <td>0.121435</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>Multinomial Naive Bayes</td>\n",
-       "      <td>0.836608</td>\n",
-       "      <td>0.046866</td>\n",
+       "      <td>0.841759</td>\n",
+       "      <td>0.030042</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>Gaussian Naive Bayes</td>\n",
-       "      <td>0.646038</td>\n",
-       "      <td>0.062510</td>\n",
+       "      <td>K Nearest Neighbour</td>\n",
+       "      <td>0.815906</td>\n",
+       "      <td>0.007595</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>Logistic Regression</td>\n",
-       "      <td>0.854289</td>\n",
-       "      <td>0.353334</td>\n",
+       "      <td>Gaussian Naive Bayes</td>\n",
+       "      <td>0.642681</td>\n",
+       "      <td>0.055288</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>Random Forest</td>\n",
-       "      <td>0.961690</td>\n",
-       "      <td>2.036736</td>\n",
+       "      <td>Logistic Regression</td>\n",
+       "      <td>0.861848</td>\n",
+       "      <td>0.183664</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
-       "      <td>LinearSVC</td>\n",
-       "      <td>0.855108</td>\n",
-       "      <td>0.097792</td>\n",
+       "      <td>Random Forest</td>\n",
+       "      <td>0.961798</td>\n",
+       "      <td>2.168057</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6</th>\n",
-       "      <td>Gradient Boosting Classifier</td>\n",
-       "      <td>0.844630</td>\n",
-       "      <td>1.832818</td>\n",
+       "      <td>LinearSVC</td>\n",
+       "      <td>0.860860</td>\n",
+       "      <td>0.053560</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7</th>\n",
+       "      <td>Gradient Boosting Classifier</td>\n",
+       "      <td>0.849168</td>\n",
+       "      <td>2.238436</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
        "      <td>CatBoost</td>\n",
-       "      <td>0.873608</td>\n",
-       "      <td>4.354404</td>\n",
+       "      <td>0.876338</td>\n",
+       "      <td>2.725301</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>Ensembled</td>\n",
+       "      <td>0.886547</td>\n",
+       "      <td>6.827464</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -15683,27 +16936,29 @@
       ],
       "text/plain": [
        "                          Model  Accuracy_train      Time\n",
-       "0                Decision Trees        0.823510  0.134505\n",
-       "1       Multinomial Naive Bayes        0.836608  0.046866\n",
-       "2          Gaussian Naive Bayes        0.646038  0.062510\n",
-       "3           Logistic Regression        0.854289  0.353334\n",
-       "4                 Random Forest        0.961690  2.036736\n",
-       "5                     LinearSVC        0.855108  0.097792\n",
-       "6  Gradient Boosting Classifier        0.844630  1.832818\n",
-       "7                      CatBoost        0.873608  4.354404"
+       "0                Decision Trees        0.835337  0.121435\n",
+       "1       Multinomial Naive Bayes        0.841759  0.030042\n",
+       "2           K Nearest Neighbour        0.815906  0.007595\n",
+       "3          Gaussian Naive Bayes        0.642681  0.055288\n",
+       "4           Logistic Regression        0.861848  0.183664\n",
+       "5                 Random Forest        0.961798  2.168057\n",
+       "6                     LinearSVC        0.860860  0.053560\n",
+       "7  Gradient Boosting Classifier        0.849168  2.238436\n",
+       "8                      CatBoost        0.876338  2.725301\n",
+       "9                     Ensembled        0.886547  6.827464"
       ]
      },
-     "execution_count": 437,
+     "execution_count": 818,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "#Creating new df to store model performances\n",
-    "Model = ['Decision Trees', 'Multinomial Naive Bayes', 'Gaussian Naive Bayes',\n",
-    "         'Logistic Regression', 'Random Forest', 'LinearSVC','Gradient Boosting Classifier','CatBoost']\n",
-    "Accuracy_train = [accuracyDC2, accuracyNB2, accuracyGNB2, accuracyLR2, accuracyRFC2, accuracySVC2,accuracygrb2, accuracy_catboost_train]\n",
-    "Time = [TimeDC, TimeNB, TimeGNB, TimeLR, TimeRFC, TimeSVC,Timegrb,time_catboost]\n",
+    "Model = ['Decision Trees', 'Multinomial Naive Bayes','K Nearest Neighbour', 'Gaussian Naive Bayes',\n",
+    "         'Logistic Regression', 'Random Forest', 'LinearSVC','Gradient Boosting Classifier','CatBoost', 'Ensembled']\n",
+    "Accuracy_train = [accuracyDC2, accuracyNB2,accuracyknn, accuracyGNB2, accuracyLR2, accuracyRFC2, accuracySVC2,accuracygrb2, accuracy_catboost_train,accuracy]\n",
+    "Time = [TimeDC, TimeNB,TimeKnn, TimeGNB, TimeLR, TimeRFC, TimeSVC,Timegrb,time_catboost,timeens]\n",
     "\n",
     "#Create df from lists\n",
     "cols = ['Model', 'Accuracy_train', 'Time']\n",
@@ -15715,7 +16970,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 438,
+   "execution_count": 820,
    "metadata": {},
    "outputs": [
     {
@@ -15753,90 +17008,112 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>Decision Trees</td>\n",
-       "      <td>0.830088</td>\n",
-       "      <td>0.864061</td>\n",
-       "      <td>0.781106</td>\n",
-       "      <td>0.820492</td>\n",
-       "      <td>0.320329</td>\n",
-       "      <td>0.823510</td>\n",
-       "      <td>0.134505</td>\n",
+       "      <td>0.809451</td>\n",
+       "      <td>0.841463</td>\n",
+       "      <td>0.774701</td>\n",
+       "      <td>0.806703</td>\n",
+       "      <td>0.237267</td>\n",
+       "      <td>0.835337</td>\n",
+       "      <td>0.121435</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>Multinomial Naive Bayes</td>\n",
-       "      <td>0.833524</td>\n",
-       "      <td>0.831547</td>\n",
-       "      <td>0.834101</td>\n",
-       "      <td>0.832822</td>\n",
-       "      <td>0.334075</td>\n",
-       "      <td>0.836608</td>\n",
-       "      <td>0.046866</td>\n",
+       "      <td>0.827123</td>\n",
+       "      <td>0.825735</td>\n",
+       "      <td>0.840569</td>\n",
+       "      <td>0.833086</td>\n",
+       "      <td>0.308004</td>\n",
+       "      <td>0.841759</td>\n",
+       "      <td>0.030042</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>Gaussian Naive Bayes</td>\n",
-       "      <td>0.63803</td>\n",
-       "      <td>0.580675</td>\n",
-       "      <td>0.978495</td>\n",
-       "      <td>0.728833</td>\n",
-       "      <td>-0.447928</td>\n",
-       "      <td>0.646038</td>\n",
-       "      <td>0.062510</td>\n",
+       "      <td>K Nearest Neighbour</td>\n",
+       "      <td>0.782559</td>\n",
+       "      <td>0.775</td>\n",
+       "      <td>0.812126</td>\n",
+       "      <td>0.793129</td>\n",
+       "      <td>0.129623</td>\n",
+       "      <td>0.815906</td>\n",
+       "      <td>0.007595</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>Logistic Regression</td>\n",
-       "      <td>0.851852</td>\n",
-       "      <td>0.85208</td>\n",
-       "      <td>0.849462</td>\n",
-       "      <td>0.850769</td>\n",
-       "      <td>0.407388</td>\n",
-       "      <td>0.854289</td>\n",
-       "      <td>0.353334</td>\n",
+       "      <td>Gaussian Naive Bayes</td>\n",
+       "      <td>0.65194</td>\n",
+       "      <td>0.598533</td>\n",
+       "      <td>0.977545</td>\n",
+       "      <td>0.742467</td>\n",
+       "      <td>-0.393219</td>\n",
+       "      <td>0.642681</td>\n",
+       "      <td>0.055288</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>Random Forest</td>\n",
-       "      <td>0.836961</td>\n",
-       "      <td>0.84972</td>\n",
-       "      <td>0.816436</td>\n",
-       "      <td>0.832746</td>\n",
-       "      <td>0.347821</td>\n",
-       "      <td>0.961690</td>\n",
-       "      <td>2.036736</td>\n",
+       "      <td>Logistic Regression</td>\n",
+       "      <td>0.837879</td>\n",
+       "      <td>0.839525</td>\n",
+       "      <td>0.845808</td>\n",
+       "      <td>0.842655</td>\n",
+       "      <td>0.351061</td>\n",
+       "      <td>0.861848</td>\n",
+       "      <td>0.183664</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
-       "      <td>LinearSVC</td>\n",
-       "      <td>0.851852</td>\n",
-       "      <td>0.839525</td>\n",
-       "      <td>0.867896</td>\n",
-       "      <td>0.853474</td>\n",
-       "      <td>0.407388</td>\n",
-       "      <td>0.855108</td>\n",
-       "      <td>0.097792</td>\n",
+       "      <td>Random Forest</td>\n",
+       "      <td>0.837495</td>\n",
+       "      <td>0.849808</td>\n",
+       "      <td>0.83009</td>\n",
+       "      <td>0.839833</td>\n",
+       "      <td>0.349524</td>\n",
+       "      <td>0.961798</td>\n",
+       "      <td>2.168057</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6</th>\n",
-       "      <td>Gradient Boosting Classifier</td>\n",
-       "      <td>0.832379</td>\n",
-       "      <td>0.867234</td>\n",
-       "      <td>0.782642</td>\n",
-       "      <td>0.822769</td>\n",
-       "      <td>0.329493</td>\n",
-       "      <td>0.844630</td>\n",
-       "      <td>1.832818</td>\n",
+       "      <td>LinearSVC</td>\n",
+       "      <td>0.839416</td>\n",
+       "      <td>0.834061</td>\n",
+       "      <td>0.857784</td>\n",
+       "      <td>0.845756</td>\n",
+       "      <td>0.357213</td>\n",
+       "      <td>0.860860</td>\n",
+       "      <td>0.053560</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7</th>\n",
+       "      <td>Gradient Boosting Classifier</td>\n",
+       "      <td>0.818671</td>\n",
+       "      <td>0.84895</td>\n",
+       "      <td>0.786677</td>\n",
+       "      <td>0.816628</td>\n",
+       "      <td>0.274173</td>\n",
+       "      <td>0.849168</td>\n",
+       "      <td>2.238436</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
        "      <td>CatBoost</td>\n",
-       "      <td>0.854525</td>\n",
-       "      <td>0.852874</td>\n",
-       "      <td>0.854839</td>\n",
-       "      <td>0.853855</td>\n",
-       "      <td>0.418079</td>\n",
-       "      <td>0.873608</td>\n",
-       "      <td>4.354404</td>\n",
+       "      <td>0.838648</td>\n",
+       "      <td>0.842302</td>\n",
+       "      <td>0.843563</td>\n",
+       "      <td>0.842932</td>\n",
+       "      <td>0.354137</td>\n",
+       "      <td>0.876338</td>\n",
+       "      <td>2.725301</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>Ensembled</td>\n",
+       "      <td>0.837879</td>\n",
+       "      <td>0.828305</td>\n",
+       "      <td>0.863024</td>\n",
+       "      <td>0.845308</td>\n",
+       "      <td>0.351061</td>\n",
+       "      <td>0.886547</td>\n",
+       "      <td>6.827464</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -15844,27 +17121,31 @@
       ],
       "text/plain": [
        "                          model  accuracy precision    recall  f1-score  \\\n",
-       "0                Decision Trees  0.830088  0.864061  0.781106  0.820492   \n",
-       "1       Multinomial Naive Bayes  0.833524  0.831547  0.834101  0.832822   \n",
-       "2          Gaussian Naive Bayes   0.63803  0.580675  0.978495  0.728833   \n",
-       "3           Logistic Regression  0.851852   0.85208  0.849462  0.850769   \n",
-       "4                 Random Forest  0.836961   0.84972  0.816436  0.832746   \n",
-       "5                     LinearSVC  0.851852  0.839525  0.867896  0.853474   \n",
-       "6  Gradient Boosting Classifier  0.832379  0.867234  0.782642  0.822769   \n",
-       "7                      CatBoost  0.854525  0.852874  0.854839  0.853855   \n",
+       "0                Decision Trees  0.809451  0.841463  0.774701  0.806703   \n",
+       "1       Multinomial Naive Bayes  0.827123  0.825735  0.840569  0.833086   \n",
+       "2           K Nearest Neighbour  0.782559     0.775  0.812126  0.793129   \n",
+       "3          Gaussian Naive Bayes   0.65194  0.598533  0.977545  0.742467   \n",
+       "4           Logistic Regression  0.837879  0.839525  0.845808  0.842655   \n",
+       "5                 Random Forest  0.837495  0.849808   0.83009  0.839833   \n",
+       "6                     LinearSVC  0.839416  0.834061  0.857784  0.845756   \n",
+       "7  Gradient Boosting Classifier  0.818671   0.84895  0.786677  0.816628   \n",
+       "8                      CatBoost  0.838648  0.842302  0.843563  0.842932   \n",
+       "9                     Ensembled  0.837879  0.828305  0.863024  0.845308   \n",
        "\n",
        "         r2  Accuracy_train      Time  \n",
-       "0  0.320329        0.823510  0.134505  \n",
-       "1  0.334075        0.836608  0.046866  \n",
-       "2 -0.447928        0.646038  0.062510  \n",
-       "3  0.407388        0.854289  0.353334  \n",
-       "4  0.347821        0.961690  2.036736  \n",
-       "5  0.407388        0.855108  0.097792  \n",
-       "6  0.329493        0.844630  1.832818  \n",
-       "7  0.418079        0.873608  4.354404  "
+       "0  0.237267        0.835337  0.121435  \n",
+       "1  0.308004        0.841759  0.030042  \n",
+       "2  0.129623        0.815906  0.007595  \n",
+       "3 -0.393219        0.642681  0.055288  \n",
+       "4  0.351061        0.861848  0.183664  \n",
+       "5  0.349524        0.961798  2.168057  \n",
+       "6  0.357213        0.860860  0.053560  \n",
+       "7  0.274173        0.849168  2.238436  \n",
+       "8  0.354137        0.876338  2.725301  \n",
+       "9  0.351061        0.886547  6.827464  "
       ]
      },
-     "execution_count": 438,
+     "execution_count": 820,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -19239,7 +20520,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.7"
+   "version": "3.11.8"
   }
  },
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