{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "63e17f84", "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "df = pd.read_csv('heart_2020_cleaned.csv')" ] }, { "cell_type": "code", "execution_count": 2, "id": "7dd92c66", "metadata": {}, "outputs": [], "source": [ "df = df.drop_duplicates()" ] }, { "cell_type": "code", "execution_count": 3, "id": "2115c2f1", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Int64Index: 301717 entries, 0 to 319794\n", "Data columns (total 18 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 HeartDisease 301717 non-null object \n", " 1 BMI 301717 non-null float64\n", " 2 Smoking 301717 non-null object \n", " 3 AlcoholDrinking 301717 non-null object \n", " 4 Stroke 301717 non-null object \n", " 5 PhysicalHealth 301717 non-null float64\n", " 6 MentalHealth 301717 non-null float64\n", " 7 DiffWalking 301717 non-null object \n", " 8 Sex 301717 non-null object \n", " 9 AgeCategory 301717 non-null object \n", " 10 Race 301717 non-null object \n", " 11 Diabetic 301717 non-null object \n", " 12 PhysicalActivity 301717 non-null object \n", " 13 GenHealth 301717 non-null object \n", " 14 SleepTime 301717 non-null float64\n", " 15 Asthma 301717 non-null object \n", " 16 KidneyDisease 301717 non-null object \n", " 17 SkinCancer 301717 non-null object \n", "dtypes: float64(4), object(14)\n", "memory usage: 43.7+ MB\n" ] } ], "source": [ "df.info()" ] }, { "cell_type": "code", "execution_count": 4, "id": "44afb632", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "import missingno\n", "missingno.matrix(df)" ] }, { "cell_type": "markdown", "id": "3c222ed1", "metadata": {}, "source": [ "## Smoking 정보" ] }, { "cell_type": "markdown", "id": "31b76b40", "metadata": {}, "source": [ "**흡연하는 사람은 흡연 안하는 사람보다 HeartDisease 발생할 확률 증가** " ] }, { "cell_type": "code", "execution_count": 5, "id": "8917aa6d", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "import seaborn as sns\n", "sns.histplot(data=df, x='Smoking', hue='HeartDisease', shrink=0.5, multiple='stack')" ] }, { "cell_type": "code", "execution_count": 6, "id": "f6633a66", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.12540324163101918" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(df[(df['HeartDisease']=='Yes') & (df['Smoking']=='Yes')]) / len(df[df['Smoking']=='Yes'])" ] }, { "cell_type": "code", "execution_count": 7, "id": "ab82a549", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.06473449905915829" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(df[(df['HeartDisease']=='Yes') & (df['Smoking']=='No')]) / len(df[df['Smoking']=='No'])" ] }, { "cell_type": "markdown", "id": "93c33a3b", "metadata": {}, "source": [ "**HeartDisease 가진 환자의 절반 이상은 흡연을 함**" ] }, { "cell_type": "code", "execution_count": 8, "id": "1f9b3b2f", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.histplot(data=df, x='HeartDisease', hue='Smoking', shrink=0.5, multiple='stack')" ] }, { "cell_type": "code", "execution_count": 9, "id": "06f5e95c", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.586075345731998" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(df[(df['HeartDisease']=='Yes') & (df['Smoking']=='Yes')]) / len(df[df['HeartDisease']=='Yes'])" ] }, { "cell_type": "markdown", "id": "a0692c77", "metadata": {}, "source": [ "## AlcoholDrinking 정보" ] }, { "cell_type": "markdown", "id": "ee3b4b02", "metadata": {}, "source": [ "**알코올 안마시는 사람들에게서 심장병 발생확률이 좀 더 높음**" ] }, { "cell_type": "code", "execution_count": 10, "id": "ddd4a4b9", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.histplot(data=df, x='AlcoholDrinking', hue='HeartDisease', shrink=0.5, multiple='stack')" ] }, { "cell_type": "code", "execution_count": 11, "id": "6d774464", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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v5ohYn9H7NDOzAjILmIhYQOFrIQB962gzGhhdoF4B9ChQ30gKqALbJgITi+2vmZk1LH+S38zMMuGAMTOzTDhgzMwsEw4YMzPLhAPGzMwy4YAxM7NMOGDMzCwTDhgzM8uEA8bMzDLhgDEzs0w4YMzMLBMOGDMzy4QDxszMMuGAMTOzTDhgzMwsEw4YMzPLhAPGzMwy4YAxM7NMOGDMzCwTDhgzM8uEA8bMzDLhgDEzs0w4YMzMLBMOGDMzy0RRASPppGJqZmZmNYodwdxeZM3MzAyAVvVtlHQCcCLQUdIP8ja1A1pm2TEzM9u11RswQBtg77TfPnn1vwNnZ9UpMzPb9dV7iiwi/isifgocHxE/zbv9KiJer6+tpImS3pX0Ul5tlKS/SlqSbv8zb9sNklZIek1S/7z6MZKWpW23SVKq7yFpaqo/J6ksr81QSa+n29Dt/7GYmdnO2tYIpsYeksYDZfltIqJPPW3uBe4A7q9VHxsRY/ILkg4HBgNHAAcBT0o6NCKqgXHAMOAvwB+BAcAs4FJgQ0QcImkwcCswSFJ7YCRQDgTwoqTHI2JDke/VzMwaQLEB8zBwJ/A7oLqYBhHxTP6oYhsGAlMi4mPgTUkrgF6SVgLtImIhgKT7gTPIBcxAYFRq/whwRxrd9AfmRcT61GYeuVCaXGRfzMysARQbMFURMa6BXnOEpCFABXBtGll0IjdCqVGZap+mx7XrpPvVABFRJel9YP/8eoE2ZmbWSIqdpjxT0nclHSipfc1tB15vHPCvwJHA28AvU10F9o166jvaZguShkmqkFSxdu3aerptZmbbq9iAGQr8EHgWeDHdKrb3xSLinYiojojPgLuBXmlTJdAlb9fOwJpU71ygvkUbSa2AfYH19RyrUH/GR0R5RJR37Nhxe9+OmZnVo6iAiYiuBW5f2t4Xk3Rg3tMzgZoZZo8Dg9PMsK5AN+D5iHgb+EDS8en6yhDg93ltamaInQ3Mj4gA5gD9JO0naT+gX6qZmVkjKuoaTLpmspWIqD1DLL/NZOBkoIOkSnIzu06WdCS5U1YrgcvTcV6WNA14BagCrkwzyACGk5uRtie5i/uzUn0C8ECaELCe3Cw0ImK9pJ8BL6T9bq654G9mZo2n2Iv8x+Y9bgv0BRax9RTkTSLivALlCfXsPxoYXaBeAfQoUN8InFPHsSYCE+t6LTMzy15RARMR38t/Lmlf4IFMemRmZs3Cji7X/w9y10nMzMwKKvYazEw2T/VtCXQHpmXVKTMz2/UVew0mf2mXKuCtiKisa2czM7Nipyn/F/AquRWV9wM+ybJTZma26yv2Gy3PBZ4nN2vrXOA5SV6u38zM6lTsKbIbgWMj4l0ASR2BJ8ktMmlmZraVYmeRtagJl2TddrQ1M7PdULEjmNmS5rB5yftB5L6bxczMrKB6A0bSIcABEfFDSWcBvcmtVrwQmNQI/TMzs13Utk5z/Rr4ACAiZkTEDyLi++RGL7/OtmtmZrYr21bAlEXE0trFtD5YWSY9MjOzZmFbAdO2nm17NmRHzMysedlWwLwg6bLaRUmXkvvSMTMzs4K2NYvsGuBRSRewOVDKgTbkvjDMzMysoHoDJiLeAU6U9A02fyfLExExP/OemZnZLq3Y74N5Gng6476YmVkz4k/jm5lZJhwwZmaWCQeMmZllwgFjZmaZcMCYmVkmHDBmZpYJB4yZmWXCAWNmZplwwJiZWSYcMGZmlgkHjJmZZcIBY2ZmmcgsYCRNlPSupJfyau0lzZP0errfL2/bDZJWSHpNUv+8+jGSlqVtt0lSqu8haWqqPyepLK/N0PQar0samtV7NDOzumU5grkXGFCrdj3wVER0A55Kz5F0ODAYOCK1+a2klqnNOGAY0C3dao55KbAhIg4BxgK3pmO1B0YCxwG9gJH5QWZmZo0js4CJiGeA9bXKA4H70uP7gDPy6lMi4uOIeBNYAfSSdCDQLiIWRkQA99dqU3OsR4C+aXTTH5gXEesjYgMwj62DzszMMtbY12AOiIi3AdL951O9E7A6b7/KVOuUHteub9EmIqqA94H96znWViQNk1QhqWLt2rU78bbMzKy2pnKRXwVqUU99R9tsWYwYHxHlEVHesWPHojpqZmbFaeyAeSed9iLdv5vqlUCXvP06A2tSvXOB+hZtJLUC9iV3Sq6uY5mZWSNq7IB5HKiZ1TUU+H1efXCaGdaV3MX859NptA8kHZ+urwyp1abmWGcD89N1mjlAP0n7pYv7/VLNzMwaUausDixpMnAy0EFSJbmZXT8Hpkm6FFgFnAMQES9Lmga8AlQBV0ZEdTrUcHIz0vYEZqUbwATgAUkryI1cBqdjrZf0M+CFtN/NEVF7soGZmWUss4CJiPPq2NS3jv1HA6ML1CuAHgXqG0kBVWDbRGBi0Z01M7MG11Qu8puZWTPjgDEzs0w4YMzMLBMOGDMzy4QDxszMMuGAMTOzTDhgzMwsEw4YMzPLhAPGzMwy4YAxM7NMOGDMzCwTDhgzM8uEA8bMzDLhgDEzs0w4YMzMLBMOGDMzy4QDxszMMuGAMTOzTDhgzMwsEw4YMzPLhAPGzMwy4YAxM7NMOGDMzCwTDhgzM8uEA8bMzDLhgDEzs0w4YMzMLBMOGDMzy4QDxszMMlGSgJG0UtIySUskVaRae0nzJL2e7vfL2/8GSSskvSapf179mHScFZJuk6RU30PS1FR/TlJZo79JM7PdXClHMN+IiCMjojw9vx54KiK6AU+l50g6HBgMHAEMAH4rqWVqMw4YBnRLtwGpfimwISIOAcYCtzbC+zEzszxN6RTZQOC+9Pg+4Iy8+pSI+Dgi3gRWAL0kHQi0i4iFERHA/bXa1BzrEaBvzejGzMwaR6kCJoC5kl6UNCzVDoiItwHS/edTvROwOq9tZap1So9r17doExFVwPvA/rU7IWmYpApJFWvXrm2QN2ZmZjmtSvS6J0XEGkmfB+ZJerWefQuNPKKeen1ttixEjAfGA5SXl2+13czMdlxJRjARsSbdvws8CvQC3kmnvUj376bdK4Euec07A2tSvXOB+hZtJLUC9gXWZ/FezMyssEYPGEl7Sdqn5jHQD3gJeBwYmnYbCvw+PX4cGJxmhnUldzH/+XQa7QNJx6frK0Nqtak51tnA/HSdxszMGkkpTpEdADyarrm3Ah6KiNmSXgCmSboUWAWcAxARL0uaBrwCVAFXRkR1OtZw4F5gT2BWugFMAB6QtILcyGVwY7wxMzPbrNEDJiLeAL5aoL4O6FtHm9HA6AL1CqBHgfpGUkCZmVlpNKVpymZm1ow4YMzMLBMOGDMzy4QDxszMMuGAMTOzTDhgzMwsEw4YMzPLhAPGzMwy4YAxM7NMOGDMzCwTDhgzM8tEqb4Pxsx2U526HMyaytXb3tEazUGdu/DX1asa/LgOGDNrVGsqVzPormdL3Q3LM/XyEzM5rk+RmZlZJhwwZmaWCQeMmZllwtdgGkjL1m0yO49pO6Zl6zal7oLZbs0B00CqP/2EuOfUUnfD8ujiJ0rdBbPdmk+RmZlZJhwwZmaWCQeMmZllwgFjZmaZcMCYmVkmHDBmZpYJB4yZmWXCAWNmZplwwJiZWSYcMGZmlgkHjJmZZaJZB4ykAZJek7RC0vWl7o+Z2e6k2QaMpJbAfwL/DhwOnCfp8NL2ysxs99GcV1PuBayIiDcAJE0BBgKvlLRXZrs5f7VF05PVV1s054DpBKzOe14JHJe/g6RhwLD09ENJr+3MCzaT5eE7AO+VuhMNRVKpu2DNV7P5Xan+9JOd+V35Yl0bmnPAFPppxRZPIsYD4xunO7sGSRURUV7qfpg1df5d2bZmew2G3IilS97zzsCaEvXFzGy305wD5gWgm6SuktoAg4HHS9wnM7PdRrM9RRYRVZJGAHOAlsDEiHi5xN3aFfiUoVlx/LuyDYqIbe9lZma2nZrzKTIzMyshB4yZmWXCAbMbkxSSfpn3/DpJo0rYJbMmQzkLJP17Xu1cSbNL2a9diQNm9/YxcJakDqXuiFlTE7kL1FcAv5LUVtJewGjgytL2bNfhgNm9VZGbCfP92hskfVHSU5KWpvuDG797ZqUVES8BM4EfASOBB4EbJb0gabGkgQCSjpD0vKQl6XemWwm73WR4FtluTNKHwEHAUuCrwGXA3hExStJM4JGIuE/SJcDpEXFG6XprVhpp5LII+AT4A/ByRDwo6V+A54GjgJ8Df4mISelzdy0j4p+l6nNT4YDZjUn6MCL2lnQz8CnwTzYHzHvAgRHxqaTWwNsR4VNptltKvyMfAucCbcmN/gHaA/3JhcyNwP3AjIh4vRT9bGqa7Qctbbv8mtz/0O6pZx//T8R2Z5+lm4BvRUTthXGXS3oOOBWYI+k7ETG/sTvZ1PgajBER64FpwKV55WfJLa8DcAGwoLH7ZdYEzQG+p7T0sKSj0v2XgDci4jZyS1L1LF0Xmw4HjNX4Jbnlx2tcBVwsaSlwIXB1SXpl1rT8DGgNLJX0UnoOMAh4SdIS4DByp8p2e74GY2ZmmfAIxszMMuGAMTOzTDhgzMwsEw4YMzPLhAPGzMwy4YAx24a0pE7+84sk3dFAxy6TdH7e85MlvZ/WuXpN0jOSTsvbfoWkIQ3x2mZZ8yf5zUpEUiugDDgfeChv039HxGlpnyOBxyT9MyKeiog7G72jZjvIIxiznSCpo6TpaXXdFySdlOq9JD2bRiLPSvpyql8k6eG0mOhccosk/ltahXerVa0jYglwMzAitR8l6br0+CpJr6TVe6ek2l6SJhZY7bdM0n9LWpRuJ6b6gWmUtETSS5L+LdX7SVqY9n1Y0t7Z/iStOfIIxmzb9kyf0K7RntxyIAC/AcZGxIL0lQZzgO7Aq8DXIqJK0inALcC3UpsTgJ4RsV7SycB1eSOWkwu8/iLghwXq1wNdI+LjtLIv5BZcnB8Rl9Ss9ivpSeBd4H9ExMa0lPxkoJzc6GlORIyW1BL4XPp+oP8ATomIjyT9CPgBuaAzK5oDxmzb/hkRR9Y8kXQRuT/OAKcAh6elqQDaSdoH2Be4L/0xD3LLi9SYl9Z/K5bqqC8FJkl6DHgs1foBp9eMcsit/HswsAa4I51yqwYOTdtfACamFbMfi4glkr4OHA78Ob2vNsDC7eivGeCAMdtZLYATan/3h6Tbgacj4kxJZcCf8jZ/tJ2vcRSwvED9VOBrwOnATyQdQR2r/Sr3VdjvkPvenxbARoCIeEbS19KxHpD0C2ADuRA8bzv7abYFX4Mx2zlzSddHYNNFeciNYP6aHl9UT/sPgH3q2iipJ/AT4D9r1VsAXSLiaeB/Af8C7E0dq/2m/rwdEZ+RW7y0Zdr+ReDdiLgbmAAcDfwFOEnSIWmfz0mqGfGYFc0BY7ZzrgLK04X2V8h9hzvA/wX+j6Q/k/6Y12EpUCXp/+Vd5P+3mmnK5ILlqoh4qla7lsCDkpYBi8ldB/obda/2+1tgqKS/kDs9VjOKOhlYImkxuWtEv4mIteRCcXJaTfsv5FYINtsuXk3ZzMwy4RGMmZllwgFjZmaZcMCYmVkmHDBmZpYJB4yZmWXCAWNmZplwwJiZWSb+PxyFZcswfK8OAAAAAElFTkSuQmCC\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.histplot(data=df, x='HeartDisease', hue='AlcoholDrinking', shrink=0.5, multiple='stack')" ] }, { "cell_type": "code", "execution_count": 14, "id": "33e72163", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.052870580603308466" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(df[(df['HeartDisease']=='Yes') & (df['AlcoholDrinking']=='Yes')]) / len(df[df['AlcoholDrinking']=='Yes'])" ] }, { "cell_type": "code", "execution_count": 15, "id": "ab7c9a6a", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.09324042607876175" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(df[(df['HeartDisease']=='Yes') & (df['AlcoholDrinking']=='No')]) / len(df[df['AlcoholDrinking']=='No'])" ] }, { "cell_type": "markdown", "id": "170fb7db", "metadata": {}, "source": [ "## Asthma, KidneyDisease, SkinCancer" ] }, { "cell_type": "markdown", "id": "5b5474b4", "metadata": {}, "source": [ "**많은 사람이 천식이 없지만 천식 있는 사람이 심장병 걸릴 확률이 좀 더 높음**" ] }, { "cell_type": "code", "execution_count": 16, "id": "5bb3d735", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.histplot(data=df, x='Asthma', hue='HeartDisease', shrink=0.5, multiple='stack')" ] }, { "cell_type": "code", "execution_count": 17, "id": "36bb8ad1", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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+Q0RcV1yQdDQwAugDHAI8LunIiKgFbgbGAM8AvweGAI8Ao4E3I+IISSOAa4HhkroBVwEVQADzJc2KiDebeKxmZtYMmhowvwVuAf4fUNuUBhExt/isYhuGAdMj4j3gL5KWA/0lrQD2jYh5AJKmAKdTCJhhwPjU/l7gpnR2MxiYHRHrUpvZFEJpWhP7YmZmzaCpAVMTETc30z4vlDQSqAQuS2cWPSicodSpTrVN6XX9Oum5CiAiaiStB/YvrjfQxszMWkhThyk/JOn/SDpYUre6xw7s72bgn4B+wGrg+lRXA+tGI/UdbbMFSWMkVUqqXLNmTSPdNjOz7dXUgBkFXA48DcxPj8rt3VlEvB4RtRHxAfAboH9aVA30LFq1DFiV6mUN1LdoI6kdsB+wrpFtNdSfWyOiIiIqunfvvr2HY2ZmjWhSwERErwYeh2/vziQdXPT2y0DdCLNZwIg0MqwX0Bt4LiJWA29LGpDur4wEHixqUzdC7AxgTkQE8BhwqqSukroCp6aamZm1oCbdg0n3TD4iIuqPECtuMw0YCBwgqZrCyK6BkvpRuGS1Avhm2s5SSTOAF4EaYGwaQQbwbQoj0jpTuLn/SKpPAu5MAwLWURiFRkSsk/QD4Pm03tV1N/zNzKzlqPBH/zZWkoqnhekEDAIWRESr+bBlRUVFVFZu91W/zSQRt53WjD2ynaXzH6YpP99mtuMkzY+IioaWNekMJiL+td4G9wPubIa+mZlZK7Wj0/X/g8J9EjMzswY19R7MQ3w41LctcBQwI1enzMxs99fUD1oWT+1SA7wWEdVbW9nMzKypw5T/C3iZwozKXYH3c3bKzMx2f039RsuzgOeAM4GzgGcltZoRZGZm1vyaeonsSuDTEfEGgKTuwOMUJpk0MzP7iKaOImtTFy7J2u1oa2Zme6CmnsE8KukxPpzyfjiF72YxMzNrUKMBI+kI4KCIuFzSV4CTKcxWPA+Y2gL9MzOz3dS2LnP9HHgbICLui4hLI+LfKJy9/Dxv18zMbHe2rYApj4hF9YsRUUnh65PNzMwatK2A6dTIss7N2REzM2tdthUwz0u6oH5R0mgKXzpmZmbWoG2NIrsEuF/SOXwYKBVABwpfGGZmZtagRgMmIl4HTpT0eeCYVH44IuZk75mZme3Wmvp9ME8CT2bui5mZtSL+NL6ZmWXhgDEzsywcMGZmloUDxszMsnDAmJlZFg4YMzPLwgFjZmZZOGDMzCwLB4yZmWXhgDEzsywcMGZmloUDxszMssgWMJImS3pD0pKiWjdJsyUtS89di5aNk7Rc0iuSBhfVj5e0OC2bKEmp3lHSPan+rKTyojaj0j6WSRqV6xjNzGzrcp7B3A4MqVe7AngiInoDT6T3SDoaGAH0SW1+JaltanMzMAbonR512xwNvBkRRwA3ANembXUDrgI+A/QHrioOMjMzaxnZAiYi5gLr6pWHAXek13cApxfVp0fEexHxF2A50F/SwcC+ETEvIgKYUq9N3bbuBQals5vBwOyIWBcRbwKz+WjQmZlZZi19D+agiFgNkJ4PTPUeQFXRetWp1iO9rl/fok1E1ADrgf0b2dZHSBojqVJS5Zo1a3bisMzMrL5d5Sa/GqhFI/UdbbNlMeLWiKiIiIru3bs3qaNmZtY0LR0wr6fLXqTnN1K9GuhZtF4ZsCrVyxqob9FGUjtgPwqX5La2LTMza0EtHTCzgLpRXaOAB4vqI9LIsF4UbuY/ly6jvS1pQLq/MrJem7ptnQHMSfdpHgNOldQ13dw/NdXMzKwFtcu1YUnTgIHAAZKqKYzsugaYIWk0sBI4EyAilkqaAbwI1ABjI6I2berbFEakdQYeSQ+AScCdkpZTOHMZkba1TtIPgOfTeldHRP3BBmZmlpkKf/RbRUVFVFZW7nB7ScRtpzVjj2xn6fyH8c+3WV6S5kdERUPLdpWb/GZm1so4YMzMLAsHjJmZZeGAMTOzLBwwZmaWhQPGzMyycMCYmVkWDhgzM8vCAWNmZlk4YMzMLAsHjJmZZeGAMTOzLBwwZmaWhQPGzMyycMCYmVkWDhgzM8vCAWNmZlk4YMzMLAsHjJmZZeGAMTOzLBwwZmaWhQPGzMyycMCYmVkWDhgzM8vCAWNmZlk4YMzMLAsHjJmZZeGAMTOzLBwwZmaWRUkCRtIKSYslLZRUmWrdJM2WtCw9dy1af5yk5ZJekTS4qH582s5ySRMlKdU7Sron1Z+VVN7iB2lmtocr5RnM5yOiX0RUpPdXAE9ERG/gifQeSUcDI4A+wBDgV5LapjY3A2OA3ukxJNVHA29GxBHADcC1LXA8ZmZWZFe6RDYMuCO9vgM4vag+PSLei4i/AMuB/pIOBvaNiHkREcCUem3qtnUvMKju7MbMzFpGqQImgD9Imi9pTKodFBGrAdLzganeA6gqaludaj3S6/r1LdpERA2wHti/fickjZFUKalyzZo1zXJgZmZW0K5E+z0pIlZJOhCYLenlRtZt6MwjGqk31mbLQsStwK0AFRUVH1luZmY7riRnMBGxKj2/AdwP9AdeT5e9SM9vpNWrgZ5FzcuAVale1kB9izaS2gH7AetyHIuZmTWsxQNG0t6S9ql7DZwKLAFmAaPSaqOAB9PrWcCINDKsF4Wb+c+ly2hvSxqQ7q+MrNembltnAHPSfRozM2shpbhEdhBwf7rn3g64OyIelfQ8MEPSaGAlcCZARCyVNAN4EagBxkZEbdrWt4Hbgc7AI+kBMAm4U9JyCmcuI1riwMzM7EMtHjAR8SrwqQbqa4FBW2kzAZjQQL0SOKaB+kZSQJmZWWnsSsOUzcysFXHAmJlZFg4YMzPLwgFjZmZZOGDMzCwLB4yZmWXhgDEzsywcMGZmloUDxszMsnDAmJlZFg4YMzPLolTfB2Nme6gePQ9lVXXVtle0FnNIWU/+WrWy2bfrgDGzFrWquorhv3661N2wIvd888Qs2/UlMjMzy8IBY2ZmWfgSmZm1qLbtO2S7JGM7pm37Dlm264AxsxZVu+l94rbTSt0NK6LzH86yXV8iMzOzLBwwZmaWhQPGzMyycMCYmVkWDhgzM8vCAWNmZlk4YMzMLAsHjJmZZeGAMTOzLBwwZmaWhQPGzMyycMCYmVkWrTpgJA2R9Iqk5ZKuKHV/zMz2JK02YCS1BX4J/AtwNPA1SUeXtldmZnuOVhswQH9geUS8GhHvA9OBYSXuk5nZHqM1fx9MD6Cq6H018JniFSSNAcaktxskvbIzO8z1nQot7ADgb6XuRHORVOouWAP8u7Lr2YnflcO2tqA1B0xD/1qxxZuIW4FbW6Y7uwdJlRFRUep+mO3q/Luyba35Elk10LPofRmwqkR9MTPb47TmgHke6C2pl6QOwAhgVon7ZGa2x2i1l8giokbShcBjQFtgckQsLXG3dge+ZGjWNP5d2QZFxLbXMjMz206t+RKZmZmVkAPGzMyycMDswSSFpOuL3n9H0vgSdslsl6GCpyT9S1HtLEmPlrJfuxMHzJ7tPeArkg4odUfMdjVRuEH9LeBnkjpJ2huYAIwtbc92Hw6YPVsNhZEw/1Z/gaTDJD0haVF6PrTlu2dWWhGxBHgI+HfgKuAu4EpJz0t6QdIwAEl9JD0naWH6neldwm7vMjyKbA8maQNwCLAI+BRwAdAlIsZLegi4NyLukPQNYGhEnF663pqVRjpzWQC8D/wOWBoRd0n6GPAccCxwDfBMRExNn7trGxHvlqrPuwoHzB5M0oaI6CLpamAT8C4fBszfgIMjYpOk9sDqiPClNNsjpd+RDcBZQCcKZ/8A3YDBFELmSmAKcF9ELCtFP3c1rfaDlrZdfk7hL7TbGlnHf4nYnuyD9BDw1YioPzHuS5KeBU4DHpP0vyNiTkt3clfjezBGRKwDZgCji8pPU5heB+Ac4KmW7pfZLugx4F+Vph6WdGx6Phx4NSImUpiSqm/purjrcMBYnespTD9e5yLgfEmLgHOBi0vSK7Ndyw+A9sAiSUvSe4DhwBJJC4H/QeFS2R7P92DMzCwLn8GYmVkWDhgzM8vCAWNmZlk4YMzMLAsHjJmZZeGAMduGNKVO8fvzJN3UTNsul3R20fuBktanea5ekTRX0heLln9L0sjm2LdZbv4kv1mJSGoHlANnA3cXLfrviPhiWqcf8ICkdyPiiYi4pcU7araDfAZjthMkdZc0M82u+7ykk1K9v6Sn05nI05I+kernSfptmkz0DxQmSfxsmoX3I7NaR8RC4GrgwtR+vKTvpNcXSXoxzd47PdX2ljS5gdl+yyX9t6QF6XFiqh+czpIWSloi6bOpfqqkeWnd30rqkvdf0lojn8GYbVvn9AntOt0oTAcC8Avghoh4Kn2lwWPAUcDLwOciokbSKcCPgK+mNicAfSNinaSBwHeKzlgGNrD/BcDlDdSvAHpFxHtpZl8oTLg4JyK+UTfbr6THgTeA/xkRG9NU8tOACgpnT49FxARJbYG90vcD/QdwSkS8I+nfgUspBJ1ZkzlgzLbt3YjoV/dG0nkU/nMGOAU4Ok1NBbCvpH2A/YA70n/mQWF6kTqz0/xvTaWt1BcBUyU9ADyQaqcCQ+vOcijM/HsosAq4KV1yqwWOTMufByanGbMfiIiFkv4ZOBr4UzquDsC87eivGeCAMdtZbYAT6n/3h6QbgScj4suSyoE/Fi1+Zzv3cSzwUgP104DPAUOB70nqw1Zm+1Xhq7Bfp/C9P22AjQARMVfS59K27pT0U+BNCiH4te3sp9kWfA/GbOf8gXR/BDbflIfCGcxf0+vzGmn/NrDP1hZK6gt8D/hlvXoboGdEPAn8X+BjQBe2Mttv6s/qiPiAwuSlbdPyw4A3IuI3wCTgOOAZ4CRJR6R19pJUd8Zj1mQOGLOdcxFQkW60v0jhO9wBfgL8WNKfSP+Zb8UioEbSn4tu8n+2bpgyhWC5KCKeqNeuLXCXpMXACxTuA/2drc/2+ytglKRnKFweqzuLGggslPQChXtEv4iINRRCcVqaTfsZCjMEm20Xz6ZsZmZZ+AzGzMyycMCYmVkWDhgzM8vCAWNmZlk4YMzMLAsHjJmZZeGAMTOzLP4/C/qiRtH+V64AAAAASUVORK5CYII=\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.histplot(data=df, x='HeartDisease', hue='Asthma', shrink=0.5, multiple='stack')" ] }, { "cell_type": "code", "execution_count": 18, "id": "a00a46b4", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.11563621017092214" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(df[(df['HeartDisease']=='Yes') & (df['Asthma']=='Yes')]) / len(df[df['Asthma']=='Yes'])" ] }, { "cell_type": "code", "execution_count": 19, "id": "fc79960f", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.08619039163765219" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(df[(df['HeartDisease']=='Yes') & (df['Asthma']=='No')]) / len(df[df['Asthma']=='No'])" ] }, { "cell_type": "markdown", "id": "7a99bb48", "metadata": {}, "source": [ "**대부분의 사람이 심부전이 없지만 심부전 있으면 심장병 발생 확률 좀 더 높음** " ] }, { "cell_type": "code", "execution_count": 20, "id": "13487a8c", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.histplot(data=df, x='KidneyDisease', hue='HeartDisease', shrink=0.5, multiple='stack')" ] }, { "cell_type": "code", "execution_count": 21, "id": "0c64fc20", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.29330842391304346" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(df[(df['HeartDisease']=='Yes') & (df['KidneyDisease']=='Yes')]) / len(df[df['KidneyDisease']=='Yes'])" ] }, { "cell_type": "code", "execution_count": 22, "id": "8b6edeb7", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.08210980854725616" ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(df[(df['HeartDisease']=='Yes') & (df['KidneyDisease']=='No')]) / len(df[df['KidneyDisease']=='No'])" ] }, { "cell_type": "markdown", "id": "a6cdb9b2", "metadata": {}, "source": [ "**많은 사람이 피부암 없지만 있는 사람이 없는 사람보다 심장병 발생확률 높음**" ] }, { "cell_type": "code", "execution_count": 23, "id": "2c1e188e", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.histplot(data=df, x='SkinCancer', hue='HeartDisease', shrink=0.5, multiple='stack')" ] }, { "cell_type": "code", "execution_count": 24, "id": "82717cc4", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.16960262187628022" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(df[(df['HeartDisease']=='Yes') & (df['SkinCancer']=='Yes')]) / len(df[df['SkinCancer']=='Yes'])" ] }, { "cell_type": "code", "execution_count": 25, "id": "b6113ff2", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.08183169679728365" ] }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(df[(df['HeartDisease']=='Yes') & (df['SkinCancer']=='No')]) / len(df[df['SkinCancer']=='No'])" ] }, { "cell_type": "markdown", "id": "10252c61", "metadata": {}, "source": [ "## PhysicalActivity" ] }, { "cell_type": "markdown", "id": "99b05147", "metadata": {}, "source": [ "**최근 30일 동안 운동 한 사람에게서 심장병 발생할 확률이 더 낮음**" ] }, { "cell_type": "code", "execution_count": 26, "id": "cc5d07ab", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.histplot(data=df, x='PhysicalActivity', hue='HeartDisease', shrink=0.5, multiple='stack')" ] }, { "cell_type": "code", "execution_count": 27, "id": "cae1e420", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.07542575907504817" ] }, "execution_count": 27, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(df[(df['HeartDisease']=='Yes') & (df['PhysicalActivity']=='Yes')]) / len(df[df['PhysicalActivity']=='Yes'])" ] }, { "cell_type": "code", "execution_count": 28, "id": "2cfe136f", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.1385877568192974" ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(df[(df['HeartDisease']=='Yes') & (df['PhysicalActivity']=='No')]) / len(df[df['PhysicalActivity']=='No'])" ] }, { "cell_type": "markdown", "id": "5657689b", "metadata": {}, "source": [ "## DiffWalking - 걷거나 계단 오르내릴때 어려움이 있는지" ] }, { "cell_type": "markdown", "id": "69a62bb1", "metadata": {}, "source": [ "**걷거나 오르내릴때 어려움이 있는 사람에게서 심장병 발생 확률 높음**" ] }, { "cell_type": "code", "execution_count": 29, "id": "0a17c351", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 29, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.histplot(data=df, x='DiffWalking', hue='HeartDisease', shrink=0.5, multiple='stack')" ] }, { "cell_type": "code", "execution_count": 30, "id": "35cb1b8d", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 30, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.histplot(data=df, x='DiffWalking', hue='HeartDisease', shrink=0.5, multiple='dodge')" ] }, { "cell_type": "code", "execution_count": 31, "id": "5acec86c", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.22599481456431067" ] }, "execution_count": 31, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(df[(df['HeartDisease']=='Yes') & (df['DiffWalking']=='Yes')]) / len(df[df['DiffWalking']=='Yes'])" ] }, { "cell_type": "code", "execution_count": 32, "id": "b51eb99f", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.06697569959823128" ] }, "execution_count": 32, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(df[(df['HeartDisease']=='Yes') & (df['DiffWalking']=='No')]) / len(df[df['DiffWalking']=='No'])" ] }, { "cell_type": "markdown", "id": "291eb092", "metadata": {}, "source": [ "## Diabetic, Stroke" ] }, { "cell_type": "markdown", "id": "b4b041c5", "metadata": {}, "source": [ "**당뇨가 발생했던 사람들에게서 심장병 발생 확률 높음**" ] }, { "cell_type": "code", "execution_count": 33, "id": "1fbb3ca1", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 33, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.histplot(data=df, x='Diabetic', hue='HeartDisease', shrink=0.5, multiple='stack')" ] }, { "cell_type": "code", "execution_count": 34, "id": "c72da770", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.22045381753677104" ] }, "execution_count": 34, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(df[(df['HeartDisease']=='Yes') & (df['Diabetic']=='Yes')]) / len(df[df['Diabetic']=='Yes'])" ] }, { "cell_type": "code", "execution_count": 35, "id": "4e94ca3a", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.06916710352825303" ] }, "execution_count": 35, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(df[(df['HeartDisease']=='Yes') & (df['Diabetic']=='No')]) / len(df[df['Diabetic']=='No'])" ] }, { "cell_type": "code", "execution_count": 36, "id": "85243f1b", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.11644037780401417" ] }, "execution_count": 36, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(df[(df['HeartDisease']=='Yes') & (df['Diabetic']=='No, borderline diabetes')]) / len(df[df['Diabetic']=='No, borderline diabetes'])" ] }, { "cell_type": "code", "execution_count": 37, "id": "4029cb38", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.04225352112676056" ] }, "execution_count": 37, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(df[(df['HeartDisease']=='Yes') & (df['Diabetic']=='Yes (during pregnancy)')]) / len(df[df['Diabetic']=='Yes (during pregnancy)'])" ] }, { "cell_type": "markdown", "id": "2a04d50a", "metadata": {}, "source": [ "**stroke 있는 사람들이 심장병 발생 확률 높음** " ] }, { "cell_type": "code", "execution_count": 38, "id": "460e81cb", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 38, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.histplot(data=df, x='Stroke', hue='HeartDisease', shrink=0.5, multiple='stack')" ] }, { "cell_type": "code", "execution_count": 39, "id": "ca8003c6", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.36380968169761274" ] }, "execution_count": 39, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(df[(df['HeartDisease']=='Yes') & (df['Stroke']=='Yes')]) / len(df[df['Stroke']=='Yes'])" ] }, { "cell_type": "code", "execution_count": 40, "id": "cada3543", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.07896344936872741" ] }, "execution_count": 40, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(df[(df['HeartDisease']=='Yes') & (df['Stroke']=='No')]) / len(df[df['Stroke']=='No'])" ] }, { "cell_type": "markdown", "id": "5f9d00a9", "metadata": {}, "source": [ "## GenHealth" ] }, { "cell_type": "markdown", "id": "7a719906", "metadata": {}, "source": [ "**자신의 건강이 안좋다고 한 사람일수록 심장병 발생 확률 높음 \n", "Excellent < VeryGood < Good < Fair < Poor 순으로 높음**" ] }, { "cell_type": "code", "execution_count": 41, "id": "d3070fef", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 41, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.histplot(data=df, x='GenHealth', hue='HeartDisease', shrink=0.5, multiple='stack')" ] }, { "cell_type": "code", "execution_count": 42, "id": "21020629", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.341130604288499" ] }, "execution_count": 42, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(df[(df['HeartDisease']=='Yes') & (df['GenHealth']=='Poor')]) / len(df[df['GenHealth']=='Poor'])" ] }, { "cell_type": "code", "execution_count": 43, "id": "576800c8", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.20436250324591015" ] }, "execution_count": 43, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(df[(df['HeartDisease']=='Yes') & (df['GenHealth']=='Fair')]) / len(df[df['GenHealth']=='Fair'])" ] }, { "cell_type": "code", "execution_count": 44, "id": "b4f5d2dc", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.104176941877925" ] }, "execution_count": 44, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(df[(df['HeartDisease']=='Yes') & (df['GenHealth']=='Good')]) / len(df[df['GenHealth']=='Good'])" ] }, { "cell_type": "code", "execution_count": 45, "id": "6c4caddb", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.05084163517691515" ] }, "execution_count": 45, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(df[(df['HeartDisease']=='Yes') & (df['GenHealth']=='Very good')]) / len(df[df['GenHealth']=='Very good'])" ] }, { "cell_type": "code", "execution_count": 46, "id": "f68d0d80", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.02502636556907779" ] }, "execution_count": 46, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(df[(df['HeartDisease']=='Yes') & (df['GenHealth']=='Excellent')]) / len(df[df['GenHealth']=='Excellent'])" ] }, { "cell_type": "markdown", "id": "6a4505d0", "metadata": {}, "source": [ "## Race" ] }, { "cell_type": "markdown", "id": "cbedd08e", "metadata": {}, "source": [ "**심장병 발생 비율은 White가 가장 많지만 American Indian/Alaskan Native에서 가장 높은 발생률을 보임**" ] }, { "cell_type": "code", "execution_count": 47, "id": "bf1cbe7d", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 47, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.histplot(data=df, x='Race', hue='HeartDisease', shrink=0.5, multiple='stack')" ] }, { "cell_type": "code", "execution_count": 48, "id": "6b984da6", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.09834273067397376" ] }, "execution_count": 48, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(df[(df['HeartDisease']=='Yes') & (df['Race']=='White')]) / len(df[df['Race']=='White'])" ] }, { "cell_type": "code", "execution_count": 49, "id": "0024fa78", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.07580008768084173" ] }, "execution_count": 49, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(df[(df['HeartDisease']=='Yes') & (df['Race']=='Black')]) / len(df[df['Race']=='Black'])" ] }, { "cell_type": "code", "execution_count": 50, "id": "cc1287e6", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.03327911922932566" ] }, "execution_count": 50, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(df[(df['HeartDisease']=='Yes') & (df['Race']=='Asian')]) / len(df[df['Race']=='Asian'])" ] }, { "cell_type": "code", "execution_count": 51, "id": "d93eeffb", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.10439137134052388" ] }, "execution_count": 51, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(df[(df['HeartDisease']=='Yes') & (df['Race']=='American Indian/Alaskan Native')]) / len(df[df['Race']=='American Indian/Alaskan Native'])" ] }, { "cell_type": "code", "execution_count": 52, "id": "ea329c4c", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.08135157469470204" ] }, "execution_count": 52, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(df[(df['HeartDisease']=='Yes') & (df['Race']=='Other')]) / len(df[df['Race']=='Other'])" ] }, { "cell_type": "code", "execution_count": 53, "id": "2572e0c4", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.05323348212638802" ] }, "execution_count": 53, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(df[(df['HeartDisease']=='Yes') & (df['Race']=='Hispanic')]) / len(df[df['Race']=='Hispanic'])" ] }, { "cell_type": "code", "execution_count": 55, "id": "4b9cdd02", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 55, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# American Indian/Alaskan Native과 White의 PhysicalHealth 차이 - 유의미한 차이인지는 모르겠음\n", "import matplotlib.pyplot as plt\n", "plt.figure(figsize=(13,5))\n", "sns.kdeplot(df[df['Race']=='American Indian/Alaskan Native'][\"PhysicalHealth\"], shade=True, label = 'American Indian/Alaskan Native')\n", "sns.kdeplot(df[df['Race']=='White'][\"PhysicalHealth\"], shade=True, label = 'White')\n", "plt.legend()" ] }, { "cell_type": "code", "execution_count": 56, "id": "9fbfa94b", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 56, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# American Indian/Alaskan Native과 White의 BMI 차이 - American Indian/Alaskan Native의 BMI가 더 높은 경향을 보임\n", "sns.kdeplot(df[df['Race']=='American Indian/Alaskan Native'][\"BMI\"], shade=True, label = 'American Indian/Alaskan Native')\n", "sns.kdeplot(df[df['Race']=='White'][\"BMI\"], shade=True, label = 'White')\n", "plt.legend()" ] }, { "cell_type": "markdown", "id": "544931fa", "metadata": {}, "source": [ "## SleepTime\n", "**SleepTime과 HeartDisease사이의 관계는 모르겠음 - 적당한 수면시간?**" ] }, { "cell_type": "code", "execution_count": 58, "id": "aefdd291", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\hyomi\\anaconda3\\lib\\site-packages\\seaborn\\distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", " warnings.warn(msg, FutureWarning)\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 58, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.boxplot(x=df['SleepTime'])" ] }, { "cell_type": "code", "execution_count": 61, "id": "d23fa1dd", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\hyomi\\anaconda3\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n", " warnings.warn(\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 61, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.violinplot(df['SleepTime'])" ] }, { "cell_type": "code", "execution_count": 62, "id": "754ba2c0", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\hyomi\\anaconda3\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n", " warnings.warn(\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 62, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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IGAd8Bfj3wErghxGxMDPv78f83KQlSSMb08ECzASWZ+ZPACLiKmAO0DNYDAhtjLGyr+Tl9vPVrtNr31gPlsnAYx33VwJ/MHSkiJgPzC93f3XkAXs/OMz0dgOeehn9sM66fteNhT5a99qu+53WU8nMMXsBjgUu7rj/58D5r2B6i6yzblOsGwt9tG7zrRt6Ges771cCUzvuTwEeH6W+SJIY+0eF/RCYHhF7R8RWwFxg4Sj3SZI2a2N6H0tmrouITwA3AOOAr2XmslcwyYuss24TrRsLfbRu860bJMp2NUmSqhjrm8IkSZsYg0WSVFeNQ8vG0gX4GvAkcN8wwwM4D1gO3AscVNqnAv8GPAAsA05uUwtsA9wJ3FPqPrcR8xwH3A38S9uaMmwFsBRYQpfDB3vMbyfgWuBH5XEe2uLx7VvmM3D5JXBKi7pTy/NxH/ANYJuWfTy51CwbOp8udU+Xy30dw3cBbgIeKtc7D7N8rAAeLNO5sszvJWBGj+XqF8DaUnMacHZ5Lu8F/hHYqWXdF0rNEuBGYK82dR3DPgUksFvL+X0W+FnHa/iBtvMDTirP0zLgiy3nd3XHvFYAS1rWvQW4vdQtAma2rHszcBvNe+KfgQld6qbSvEfXlsvClsvLwOfCo6VuTZnnsb2WmR51PZeZHnXDLjMM/uz6KbB6yGs47PJShs9m/XvhtG7jbFDzcj+gx+oFOJzmg224YPkAcD3NB9QhwB2lfRLrP9xeB/wY2G+k2nJ7hzJ8y9J2SMt5fhL4e7oHS9eaMmzFcAvJCPNbAPxFub1Vl4V62HmW4eOAJ4DfGaHuLuARYNsy/BrgIy2eywNoQmU7mgNP/g8wvUfdx2g+TDqD5Ysdb6jTgLO6LB8zaN60byjPw4/KdG9h+GB5F82PdR8sNfcAfwGML8PPGjqvHnVv7Rj+l8BXW9btR/MhcgPNB0i3YOlW9xXgUyO8b7rVfaS8BluXcXZv28+O4X8HfKZl3Q+A93e8zre0rFsKvLMMPx74Qpe6gR9bv4EmTNYCf9RieZlUlpeHgTfRfC78CDiS5ktX12WmR13PZaZH3bDLTKk5iOb9+ROa996by3Pz7hGWl3FlXgPvhUGv33CXzW5TWGZ+j+Zb7HDmAJdn43Zgp4iYlJmrMvOuMo3naNJ/8ki1wJ6Z+asyfMtyGXrERLd5HgQcAVy8Mf0c+RkYtnY6zYfqJeUxvpCZv9jIec4CHs7Mn45QtyPNQrptRIynCYqhvz/q9lweCtyemf8vM9cB3wX+uEfdV1kfQp3DF5TbC4CjO4vL8jEVeCEzf5KZL5Tx3kxva2netL8pNVcBE0s/ofmmPaVl3Xs6hm/PhsvLcHVzgHOAvx6mZri6fUd4bMPVfRI4MzPXAmTmkxvRTyIigA/RrLG2qZsITCjDd6T7b9a61U0HvleG3wT8SZe61wP3l9f8aZoP06MZeXlZRfOeXp6ZS2k+F34AvCkzhzvDR6+6nstMj7phl5mOz66ZNGte9wK7l+fmXHovL789bdbQ16+XzS5YWuh2mphBARIR04ADab5Fj1gbEeMiYgnNJpabMrNN3dk0L/hLL6OfCdwYEYvL6Wza1L6VZrX60oi4OyIujojtN2Ke0PyOqNuHxNC6FWW8R4FVwLOZeWOLeT0DHB4Ru0bEdjTfWqeOUPcEg4Nlj/LmHHiT7t6lv3sCvxky76FfIoaaXB7LcDXH06xJtaqLiDMi4jHgz4DPtKw7DPhZZt6zkf2cAHwiIu6NiK9FxM4t6yYB74iIOyLiuxHx1raPr9x+B7A6Mx9qWfdD4OzyvHwJOL1l3TPAUeX+sWy4zAzUPQa/fX/vDqyj3fIyGXis43PhdkZeXtrU9VpmNqhrucw8w/rPronASy2Wl56fh90YLBuKLm2/TfOI2AH4Js32/V+2qc3MFzPzLTTfPmZGxAEj1O0KPJ2Zi19mPw/LzIOA9wMnRsThLWq3oFldvjAzDwR+TbPq32qe5QeqRwH/0KKv44F3AnsDewHbR8RxLeb1CM3mgZuAf6VZLV83ZJxudRur5zKwsTUR8Wmafl7Zti4zP52ZU0vNJ1rUbUWziaTbB8pI87sXeCPNPoxVNJun2tRtAexMs6nyr4BrylrISHUDz+Wf0v2LyHB1BwCnluflVMradYu6m2neB4tpNmO/MFxdx/v7ymHGG66v40vdKcDzjLy89KxrscxsUNdimdmWZs3mlDLto2hCaaQ+DjXiYzNYNjTsaWIiYkvKQpeZ121MLUDZtHQLzc6wXnVTgcMiYgXNque7I+LrbeeVmQPXT9LsAJzZovZeYGXH2tS1NEHT9vG9H7grM1ezoaF1+wAPZeaazPwNcB3wtjbzysxLMvOgzDycZpPm0G+7Q+v2ZHD4rB7YfFeuu22+Gdjc0O1xDmfgG/ygmoiYR7O9/c+ybLRuU9dx/+/pvulmaN2bgB2Ae8pyMwW4KyL2bDG/h8uXn5eA/8WGy8twdT8HriubHe+kWbverc3jK5tAP0izI7+bbnX70iwr0HyBadvPZZn53sw8mCbIHh6m7vWsD5UnaF6HtsvLkaz/XGh7aqmudS2WmZHmt8EyUz67TgSeKjVvpHlvfKjF8rLxp83KEXbCvBYvwDSG33l/BIN3Gt9Z2gO4HPhyj+luUEuzurlTGb4t8H3gyDbzzPU7I7vtvB+un9sDr+u4fSswu2Xt94F9y+3PAmdvRD+vAj7a8nlZVi7blbYFwEkt+7h7uX49zU7LoUfpDK1bwuCd92czeGdstyOZ3kjzbXVv1u+w3J/eO+/H02za69xpPJ/mLxwm9lhmutW9v2P4ScC1Lev27xi+gu47Y7vVvbNj+KnAVS3rPgd8vgz/XZpNJtGmnzRfrr67kc/Lw8C7yvBZwOKWde8ow7ageQ8fP0zdczRHlXX2s+fyUpazK4Bnhy4vZXjXZaZHXc9lpkfdsMsM6z+7zqXZ/9Stn72Wl641vS6j/iH/al9ovrGsotmGvhI4gebooY91vAhfKQvx0oGFAng7zSrgwCF9S2i28fesBX6f5pDhe2mOaPpMGXfEeZZh76IES8t+vqG8+PfQfHh/eiNq30JzGOe9wD/RbOZoU7cdzbfXHTv6PdLz8jmaYLiP5o2ydct5fZ/mjXcPMGuEef2C5hTgna/1rjSbRh4q17uUur2A/8365WNdqXuS5hvsSpodw6uBGzprOparp2mWkXU036yX03zYLimXr7as+2Z5Xu6lOTx2cpu6Icv5CsoHRYv5XVGe43tpzrU3qWXdVsDXS1/vAt7dtp/AZQOvWUefR5rf24HF5bW/Azi4Zd3JNEdP/Rg4k/VnHOmsG3h/DxxuvIrm/T3S8jJQ9wjNJqm1NF+U/pgey0yPup7LTI+6XsvMbaz/7Hq41K2ifDb0Wl7K/Q+U5+7hzppeF0/pIkmqyn0skqSqDBZJUlUGiySpKoNFklSVwSJJqspgkVqKiE9HxLJy6pMlEfEHEXFLRMyoOI+PlmkviYgXImJpuX1mRHw+It4z8lSk0TWm/5pYerVExKE0v3Y+KDPXRsRuNL/jqCozLwUuLfNcAfxhZj5Vez5SP7nGIrUzieZ0GANn8n0qy6lzBkTEeyPitoi4KyL+oZx3iog4uJykcXFE3NBxipBbIuLLEXFrRNwXEd1OUdI5/csi4phye0VE/Ncyv0URcVCZ9sMR8bGOmr+KiB+WtazPVX5OpK4MFqmdG4GpEfHjiLggIt7ZObCswfwN8J5sTgC6CPhkOUfT+cAx2Zyr6mvAGR2l22fm24D/VIZtjMcy81CasxFcBhxDcxqbz5c+vZfmlPEzac6qcHCXE5JK1bkpTGohM38VEQfTnOr9D4GrI6Lz7M+H0PzR1g/KCX63ojmVxr40Z+W9qbSPY/Bp3b9Rpv+9iJgQETvlhv+DM5yF5XopzZ/JPQc8FxHPR8ROwHvL5e4y3g4M/m8SqS8MFqmlzHyR5qSCt0TEUmBex+Cg+a+dP+2siYg30Zxd99DhJjvC/V7WluuXOm4P3B9f+vTfMvN/bsQ0pVfMTWFSCxGxb/mXzQFvofk71wG30/zVwT5l/O0i4ndpzrI7sez8JyK2jIj9O+r+Q2l/O80fnj1bsds3AMd37OuZHBHd/qhKqso1FqmdHYDzyyamdTRnoZ1P8781ZOaaiPgI8I2I2LrU/E1m/rjscD8vInakec99mebM0wDPRMStNP/ieHzNDmfmjRHxe8BtZTPcr4Dj6P6fIlI1nt1YGiURcQvwqcxcNNp9kWpyU5gkqSrXWCRJVbnGIkmqymCRJFVlsEiSqjJYJElVGSySpKr+P2EksgcO2JfGAAAAAElFTkSuQmCC\n", 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.countplot(data = df, x = 'SleepTime', hue = 'HeartDisease')" ] }, { "cell_type": "code", "execution_count": 69, "id": "e26a981a", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 69, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(9,5))\n", "sns.kdeplot(df[df[\"HeartDisease\"]=='No'][\"SleepTime\"], shade=True, label = 'No HeartDisease')\n", "sns.kdeplot(df[df[\"HeartDisease\"]=='Yes'][\"SleepTime\"], shade=True, label = 'HeartDiseasee')\n", "plt.legend()" ] }, { "cell_type": "markdown", "id": "bf918995", "metadata": {}, "source": [ "## BMI" ] }, { "cell_type": "markdown", "id": "e27fc953", "metadata": {}, "source": [ "**BMI가 큰 영향을 미치지는 않지만 심장병 발생한 사람은 그렇지 않은 사람에 비해 BMI 지수가 높음**" ] }, { "cell_type": "code", "execution_count": 70, "id": "c60974ec", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\hyomi\\anaconda3\\lib\\site-packages\\seaborn\\distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", " warnings.warn(msg, FutureWarning)\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 70, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.histplot(data=df, x='BMI', hue='HeartDisease', multiple='stack')" ] }, { "cell_type": "code", "execution_count": 73, "id": "b1b6c347", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\hyomi\\anaconda3\\lib\\site-packages\\seaborn\\distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", " warnings.warn(msg, FutureWarning)\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 73, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.kdeplot(df[df[\"HeartDisease\"]=='No'][\"BMI\"], shade=True, label = 'No HeartDisease')\n", "sns.kdeplot(df[df[\"HeartDisease\"]=='Yes'][\"BMI\"], shade=True, label = 'HeartDiseasee')\n", "plt.legend()" ] }, { "cell_type": "markdown", "id": "d8fd369a", "metadata": {}, "source": [ "## PhysicalHealth" ] }, { "cell_type": "markdown", "id": "a7e1cf14", "metadata": {}, "source": [ "**PhysicalHealth 값이 클수록 아프거나 다친 상태, 심장병 있으면 PhysicalHealth 값이 큼**" ] }, { "cell_type": "code", "execution_count": 75, "id": "4d4132ec", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\hyomi\\anaconda3\\lib\\site-packages\\seaborn\\distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", " warnings.warn(msg, FutureWarning)\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 75, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.kdeplot(df[df[\"HeartDisease\"]=='No'][\"PhysicalHealth\"], shade=True, label = 'No HeartDisease')\n", "sns.kdeplot(df[df[\"HeartDisease\"]=='Yes'][\"PhysicalHealth\"], shade=True, label = 'HeartDiseasee')\n", "plt.legend()" ] }, { "cell_type": "markdown", "id": "9f3709d3", "metadata": {}, "source": [ "## MentalHealth" ] }, { "cell_type": "code", "execution_count": 77, "id": "477fa7cd", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\hyomi\\anaconda3\\lib\\site-packages\\seaborn\\distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", " warnings.warn(msg, FutureWarning)\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 77, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.kdeplot(df[df[\"HeartDisease\"]=='No'][\"MentalHealth\"], shade=True, label = 'No HeartDisease')\n", "sns.kdeplot(df[df[\"HeartDisease\"]=='Yes'][\"MentalHealth\"], shade=True, label = 'HeartDiseasee')\n", "plt.legend()" ] }, { "cell_type": "markdown", "id": "352d11fb", "metadata": {}, "source": [ "## 성별 정보" ] }, { "cell_type": "markdown", "id": "edc5d19a", "metadata": {}, "source": [ "**여성의 수가 더 많았으며 남성이 HeartDisease 가질 확률이 더 높음, 심장병 환자의 58%가 남성**" ] }, { "cell_type": "code", "execution_count": 79, "id": "aecdee64", "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 79, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.histplot(data=df, x='Sex', hue='HeartDisease', shrink=0.5, multiple='stack')" ] }, { "cell_type": "code", "execution_count": 80, "id": "0edc0bcd", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.11297748616645312" ] }, "execution_count": 80, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(df[(df['HeartDisease']=='Yes') & (df['Sex']=='Male')]) / len(df[df['Sex']=='Male'])" ] }, { "cell_type": "code", "execution_count": 81, "id": "8ad48c71", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.07022565149588841" ] }, "execution_count": 81, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(df[(df['HeartDisease']=='Yes') & (df['Sex']=='Female')]) / len(df[df['Sex']=='Female'])" ] }, { "cell_type": "code", "execution_count": 82, "id": "7e598299", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.5886797989802282" ] }, "execution_count": 82, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(df[(df['HeartDisease']=='Yes') & (df['Sex']=='Male')]) / len(df[df['HeartDisease']=='Yes'])" ] }, { "cell_type": "markdown", "id": "31cba603", "metadata": {}, "source": [ "**왜 남성에서 더 많이 발생될까?**" ] }, { "cell_type": "markdown", "id": "038b101d", "metadata": {}, "source": [ "BMI에서는 유의미한 차이 모르겠음" ] }, { "cell_type": "code", "execution_count": 83, "id": "46be01b0", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 83, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(13,5))\n", "sns.kdeplot(df[df[\"Sex\"]=='Female'][\"BMI\"], shade=True, label = 'Female')\n", "sns.kdeplot(df[df[\"Sex\"]=='Male'][\"BMI\"], shade=True, label = 'Male')\n", "plt.legend()" ] }, { "cell_type": "code", "execution_count": 84, "id": "ead4e7f5", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\hyomi\\anaconda3\\lib\\site-packages\\seaborn\\distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", " warnings.warn(msg, FutureWarning)\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 84, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(13,5))\n", "sns.distplot(df[df[\"Sex\"]=='Female'][\"BMI\"], kde=False,bins=100, label = 'Female')\n", "sns.distplot(df[df[\"Sex\"]=='Male'][\"BMI\"], kde=False, bins=100,label = 'Male')\n", "plt.legend()" ] }, { "cell_type": "code", "execution_count": 85, "id": "dadbccf1", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 85, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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/E3tzxoCSD3cXvPc2Z/Xrw6bCQpo1b8F1N99O96OP3Wm74uJifnf5pawvKMDdGXTRUP5rv/245PKruPPmG+jftxfuzoGt23Bf1qMM/PWFjBg6mBefe5quPXrueNfx7vw3mTpxAmn10mjQoCF33D2BZs1bcNtd93LN8KFs3bIFgN9efR1tf9w+vj+kiNR45uX0S1cnmZmZvr2vfrucnBw6dtzzgdc+DHCsnu1Wr/g318zM2TE/s/GfEqymejnoxsVJl0CXax5OuoRqQ8/N/6iK56aZLXD33T74C6arR0RESiTS1WNmXwAFQDFQVNZ/JBERiUeSffx93D3c/hcRkYSoq0dEJDBJBb8DL5nZAjMbUtYKZjbEzLLNLDs/Pz/F5YmI1F5JBX9Pd+8M9AOGmdmxu67g7pPcPdPdMzMyMlJfoYhILZVIH7+7r4ymX5nZTKArMC+VNQwa/3yV7u+vl51c6TqHHpTB+RdfyrW/vxWAqRMnsHHDBoZdeW2V1iIiUpGUn/GbWUMza7z9MdAXWJLqOpKwz7778vILz/HN2jVJlyIiAUuiq2d/4A0z+wB4F3jO3V9IoI6Uq1u3LgMGDuLhBx/YbdnK3BUMPvdM+vftxeBzz2RlXm4CFYpICFIe/O7+ubsfHv0c6u63pbqGJA08/yKenfUUBevW7dQ++vcjOe2sXzHzpdc5tf9Z3HHTqIQqFJHaTpdzplijxo057axf8bepk3dq/+D9bE6Jvt3rl2f+ivffeyeJ8kQkAAr+BAy6aCgzpj9C4caN5a5jZimsSERCouBPQJMmTTnxlNN5avojO9o6dTmSfzw9E4BnZz1J5yO7JVWeiNRywQzLvKs9ufwyThcMuZTHpv3n+wFG3XI7N1xzOVMnTqBps+aMvmt8gtWJSG0WbPAnIfujZTset8hoyYJPlu+YP7DNQUx9fGYSZYlIYNTVIyISGAW/iEhgFPwiIoFR8IuIBEbBLyISGAW/iEhggr2cs9HUPlW6v/UXvlbuMndn0FmnMvS3V3BMn18A8MIzs5jxxKNM+usTVVqHiEhlgg3+VDIzbrpjLFdeehFdexxN8bZi/vyn25n48PSkSxORACn4U6TDTzvS6/gTeej+e9m4cSO/7D+ASX+5m08+yqG4uIhhV1zLcX378dnHH3H91ZexdesWfJtzz8Qp/Khd+6TLF5FaRMGfQr+54moGnHw89ertQ6/jT6DbUccweux41n33Heee1pfuRx/L9EeyGDR4CKf2P5stW7awbVtx0mWLSC2j4E+hBg0actIvz6BBg4a8+Oxs5r78ElMnTQBg8+bNrMrL4/DORzLp3rtZvWolJ/Q7RWf7IlLlFPwpVsfqUKdOHdydeyZOpV37n+y0vH2Hg/l5p87Me3UOQ847h1vG3E33nsckVK2I1Ea6nDMhPXv14ZGsybg7ADlLFgGwYtkXtPlRW84bPITeJ5zIJzlLkyxTRGqhYM/4K7r8MhUuufwq7rz5Bvr37YW7c2DrNtyX9SgvPDOLZ2Y+SVq9NFpktOTSEVcnWqeI1D7BBn9Shl157Y7HN995127LLx4+gouHj0hhRSISGnX1iIgERsEvIhKYGh382z8YlfK5O/oziUhpNTb409PTWbNmjcK/Au7Olo0F5H67KelSRKQaqbEf7rZu3Zrc3Fzy8/P3aP3V36yPuaLqxx1yv93E1PnLK19ZRIJRY4O/Xr16tGvXbo/XP++ah2OsRkSk5kikq8fMTjKzj83sMzMbmUQNIiKhSnnwm1ldYALQDzgEGGhmh6S6DhGRUCVxxt8V+MzdP3f3LcDjwOkJ1CEiEqQk+vgPBFaUms8Fuu26kpkNAYZEs+vN7OMU1BaEH0EL4Ouk66gWbrKkK5BS9NwspWqemz8qqzGJ4C/rt9ntmkx3nwRMir+c8JhZtrtnJl2HyK703EyNJLp6coE2peZbAysTqENEJEhJBP97QAcza2dm+wDnAk8nUIeISJBS3tXj7kVmNhx4EagLTHF3DTqfWupCk+pKz80UMA15ICISlho7Vo+IiHw/Cn4RkcAo+GsYMys2s4WlftrGeKwvzKxFXPuXMJiZm9lfS82nmVm+mT1byXa9K1tHvp8aO0hbwArdvVPSRYjshQ3AYWZW390LgROAvIRrCprO+GsBM+tiZq+b2QIze9HMWkXtc83sbjObZ2Y5Znakmc0ws0/NbHSp7WdF2y6N7pgu6xjnmdm70buMidGYSyJ76h/AKdHjgcBj2xeYWVcze8vM/hlNf7rrxmbW0MymmNl70Xoa5uUHUPDXPPVLdfPMNLN6wL3A2e7eBZgC3FZq/S3ufizwADAbGAYcBlxgZs2jdQZH22YCl5VqB8DMOgLnAD2jdxvFwP/G9ytKLfQ4cK6ZpQM/B94ptewj4Fh3PwK4Ebi9jO2vB1519yOBPsCfzKxhzDXXWurqqXl26uoxs8MoCfI5ZgYl90asKrX+9pvjFgNL3X1VtN3nlNxBvYaSsO8frdcG6BC1b3c80AV4LzpGfeCrKv2tpFZz90XR51EDged3WbwfMM3MOlAyfEu9MnbRFzjNzK6O5tOBg4CceCqu3RT8NZ9REug9ylm+OZpuK/V4+3yamfUGfgH0cPeNZjaXkhfVrseY5u7XVVXREqSngbFAb6D0u8o/AK+5e//on8PcMrY14Cx312CNVUBdPTXfx0CGmfUAMLN6ZnboXmy/H/BNFPr/DXQvY51XgLPNrGV0jGZmVuaofyIVmALc6u6Ld2nfj/982HtBOdu+CPzWorecZnZELBUGQsFfw0XfaXA28Ecz+wBYCBy1F7t4gZIz/0WUnHm9XcYxPgRuAF6K1psDtPqBpUtg3D3X3f9cxqIxwB1m9iYlXZVl+QMlXUCLzGxJNC/fk4ZsEBEJjM74RUQCo+AXEQmMgl9EJDAKfhGRwCj4RUQCo+AXqYSZXR+NY7QoGiqjW9I1ifwQunNXpALRjXGnAp3dfXM0TPU+CZcl8oPojF+kYq2Ar919M4C7f+3uK8saEdXM9jOzj7ePLmlmj5nZxYlWL1IG3cAlUgEzawS8ATQAXgamA28BrwOnu3u+mZ0DnOjug83sBOBW4M/ABe5+UkKli5RLXT0iFXD39WbWBTiGkuGApwOjKWdEVHefY2YDgAnA4YkULVIJnfGL7AUzO5uS7zRIL2tEVDOrQ8m7gXbAye6+KMUlilRKffwiFTCzn0bjxG/XiZIx4MsbEfWKaPlAYEr0RTki1YrO+EUqEHXz3As0AYqAz4AhQGtgPCVDCqcB91Bypj8b6OruBWY2Dihw95tSX7lI+RT8IiKBUVePiEhgFPwiIoFR8IuIBEbBLyISGAW/iEhgFPwiIoFR8IuIBOb/AcH2sI5I/LzYAAAAAElFTkSuQmCC\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.barplot(x=\"Sex\", y=\"BMI\", hue='HeartDisease',data=df)" ] }, { "cell_type": "code", "execution_count": 87, "id": "b54e5bbe", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'\\ndf_size = df.pivot_table(\\n index=\"Smoking\", columns=\"Sex\", aggfunc=\"size\")\\n sns.heatmap(df_size, cmap=sns.light_palette(\\n \"gray\", as_cmap=True), annot=True, fmt=\"d\")\\nplt.title(\"Heatmap\")\\nplt.show()\\n'" ] }, "execution_count": 87, "metadata": {}, "output_type": "execute_result" } ], "source": [ "'''\n", "df_size = df.pivot_table(\n", " index=\"Smoking\", columns=\"Sex\", aggfunc=\"size\")\n", " sns.heatmap(df_size, cmap=sns.light_palette(\n", " \"gray\", as_cmap=True), annot=True, fmt=\"d\")\n", "plt.title(\"Heatmap\")\n", "plt.show()\n", "'''" ] }, { "cell_type": "code", "execution_count": 88, "id": "ff6e0948", "metadata": {}, "outputs": [], "source": [ "#df_pivot = df.pivot(\"Smoking\", \"Sex\", \"BMI\")\n", "#sns.heatmap(df_pivot, annot=True, fmt=\"d\", linewidths=1)\n", "#sns.catplot(x=\"Sex\", y=\"Smoking\", col=\"HeartDisease\", data=df, kind=\"bar\")" ] }, { "cell_type": "code", "execution_count": 86, "id": "920eff42", "metadata": {}, "outputs": [], "source": [ "df_female = df[df[\"Sex\"]=='Female']\n", "df_male = df[df[\"Sex\"]=='Male']" ] }, { "cell_type": "markdown", "id": "0dcd35ca", "metadata": {}, "source": [ "남자의 흡연 비율이 더 높음 -> 심장병에 영향 가능" ] }, { "cell_type": "code", "execution_count": 89, "id": "53fd9459", "metadata": {}, "outputs": [ { "data": { "image/png": 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YM2fOb6awFxHZ6YprbuCx0ZHF+ho2acLiTz8GYOG8ub+Zwr486cqEyF1YZbEiX/268S/HcuSRR9K0aVPy8/MZOXIkl18eef0WLVpw1llnBY5FRMJ3QJ3acQ2ex3OeeB162OE0aNw4sjTvn27nz3+8CoBmBx7EKV3PDBxLaamYQLmtEd6sWbPdbgMuODby/vvvl0sMIlJ29nQ7b1lq1KTpbrcBj/3XC7seT5zyVlFPKXfq5hIRkcBUTEREJDAVExERCUzFREREAtMAvEgaK6t56VJBrLnzJBgVk3LUvXt3brnlFo4//ni2bdvGCSecwOTJk2nQoEGiQ5M0VVbz0qWCsrj9P1EuG9iHYVf/kbbtj2Xbtm307d6Fx//1PHXr1U90aLuomABdTzqBH39YHfg8tevW5433Pij2+EMPPcSAAQOYPXs2o0aNYtCgQSokIins0rNPZf2P3wc+z3616zH+1eKvmm676x9cO/QSnp/6NmMfup9z+g1MqkICKiYA/PjDaubf2DrwebLuKbwg3u6aN29Ojx49uO666/j4448ZOnQoJ554Ijt27OCSSy5h8ODBjB07lvHjx7P33nvTp08fhg8fHjguEQnH+h+/58PrWwU+z3H3frHH442bNuPk07tx1203s3TRp/S/6FL69TiNHTt20GfABfQ9fxATn3mSFyf8i72qVqVrj15ceGn5XompmJSzG264gZYtW/Lcc89x4403MnPmTMyMTp06cd555zFhwgRef/11ateuTX5+fqLDFZEkcdkfruG049py/+NPMur2P/Pv16ZjZgzo2ZUzep7D5Fde5Il/v8j+tRLz2aFiUs4yMzNp0qQJGRkZLFu2jFNOOQWAn3/+me+++4777ruPESNGkJeXx5AhQ+jQoUOCIxaRZJCZmUn9Ro3IyMjgm+Vfc0Hv7gD88st6fli9iltuv5t77riN7Xnb6XfBILKOPb5c41MxSZAmTZpw6KGH8tZbb5GRkUFeXh6ZmZls2bKF8ePH891333HuuecyZ86cRIcqIkmkQcPGHNSiJU+/OGm3z46tW7YwcvSjfL96FVdeegEvTptRrnGpmCRIpUqVuOyyy+jcuTOVKlVi7733ZurUqQwbNoyVK1eyZcsWrrjiikSHKSJJJqNSBn0vGMTAXt3IqFSJqlX35ol/v8htN17DdznfsnXrFs4fdFm5x6ViQuQurFiD5/GeJx4zZ84EoG/fvvTt23e3Y08//XTgOESkfOxXu17MwfN4zxOPCa9NB+DMXr05s1fv3Y7d81Bib/FWMYE93s4rIlKcPd3Om25CnU7FzLqaWbaZLTOzm4o43tnMfjGzT6I/t4UZj4iIhCO0KxMzqwQ8AnQBcoB5ZjbZ3Qv3J73v7t3DikNERMIX5pVJe2CZu3/t7rnARKBnGC+0844G2V1eXh4ZGZrLU6Q4mZmZbNiwIdFhJKUNGzaQmZkZd/swx0waAt8W2M4Bjimi3XFm9imwCvijuy8p6QvVqlWLb7/9FjMrXaQVlLtzwAHxLyUskm4aNGjAqlWrWLdu3R7bLVu2jGq/7iinqBLr19XLqV5tHzIzM0s03VOYxaSoT3YvtL0QaOrum8zsDOA1oMVvTmQ2BBgCke9nFFa9enWqV68eNF4RSTMZGRk0atQoZrtTz+yZRhNi/pmvln5W4ueF2QeSAzQusN2IyNXHLu6+wd03RR9PAzLNrHbhE7n7WHfPcvesOnXqhBiyiIiURpjFZB7Qwsyam1kVoB8wuWADM6tn0b4pM2sfjWfP15siIpJ0QuvmcvftZjYceBOoBDzp7kvMbGj0+BigDzDMzLYDW4B+7l64K0xERJJcqF9ajHZdTSu0b0yBxw8DD4cZg4iIhE/3jYqISGAqJiIiEpiKiYiIBKZiIpJEYs1nV6BdOzPbYWZ9yjM+keKomIgkiQLz2XUDWgP9zax1Me1GEblTUiQpqJiIJI9457O7EngZWFOewYnsiYqJSPIoaj67hgUbmFlD4GxgDCJJRMVEJHnEM5/daGCEu+9x1kEzG2Jm881s/tq1a8sqPpFiaaVFkeQRcz47IAuYGJ2FqDZwhpltd/fXCjZy97HAWICsrCzNKiGhUzERSR675rMDviMyn92Agg3cvfnOx2b2NDC1cCERSQQVE5EkEed8diJJScVEJInEms+u0P5B5RGTSDw0AC8iIoGpmIiISGAqJiIiEpiKiYiIBKZiIiIigamYiIhIYComIiISmIqJiIgEpmIiIiKBqZiIiEhgKiYiIhKYiomIiAQWajExs65mlm1my8zspj20a2dmO8ysT5jxiIhIOEIrJmZWCXgE6Aa0BvqbWeti2o0iMu22iIikoDCvTNoDy9z9a3fPBSYCPYtodyXwMrAmxFhERCREYRaThsC3BbZzovt2MbOGwNmAFv0REUlhcRUTM+tuZiUtPFbEvsJrUY8GRrj7jhivP8TM5pvZ/LVr15YwDJHyV8qcEUlZ8f5n7wd8aWb3mNmhcT4nB2hcYLsRsKpQmyxgopmtAPoAj5pZr8Incvex7p7l7ll16tSJ8+VFEqo0OSOSsuIqJu5+PtAG+Ap4ysw+jF4t1NjD0+YBLcysuZlVIZJckwudt7m7N3P3ZsBLwBXu/lopfg+RpFLKnBFJWXFfhrv7BiID5ROB+kTGOhaa2ZXFtN8ODCdyl9bnwAvuvsTMhprZ0MCRiyS5kuaMSCqrHE8jMzsLuBg4CPgX0N7d15jZPkQKxUNFPc/dpwHTCu0rcrDd3QfFH7ZIcittzoikqriKCZHxjPvdfVbBne6+2cwuKfuwRFKeckbSSrzFZHXhpDCzUe4+wt1nhBBXqXQ46VRW/5AeX1epX/cAZr/3TqLDkOKlRM6IlJV4i0kXYEShfd2K2JdQq39YQ7trHk90GOVi3ujLEx2C7FlK5IxIWdljMTGzYcAVwEFm9lmBQzWAD8IMTCQVKWckXcW6MpkATAfuBgpO1LjR3X8KLSqR1KWckbQUq5i4u68wsz8UPmBm+ys5RH5DOSNpKZ4rk+7AAiJToRScIsWBA0OKSyRVKWckLe2xmLh79+i/zcsnHJHUppyRdBVrAL7tno67+8KyDUcktQXNGTPrCjwAVALGufvIQsd7AncA+cB24Bp3nx0oaJEyEKub6949HHPg5DKMRaQiKHXOFFhQrguRiVLnmdlkd19aoNkMYLK7u5kdAbwAtAoetkgwsbq5TiqvQEQqgoA5s2tBOQAz27mg3K5i4u6bCrSvxm+XdRBJiFjdXCe7+7tmdk5Rx939lXDCEklNAXOmqAXljiniNc4mcuvxAcCZAcIVKTOxurk6Ae8CPYo45oCKicjuguRMPAvK4e6vAq+aWUci4yen/uZEZkOAIQBNmjSJHbVIQLG6uf4S/ffi8glHJLUFzJl4FpQr+FqzzOwgM6vt7j8WOjYWGAuQlZWlrjAJXbzL9tYyswfNbKGZLTCzB8ysVtjBiaSqUuZMzAXlzOxgM7Po47ZAFWBdGL+DSEnEuzjWRGAt0JvI1NprgefDCkqkAihxzsS5oFxvYLGZfULkzq++7q4rD0m4eGcN3t/d7yiwfWdRa7WLyC6lyplYC8q5+yhgVFkFKVJW4r0yec/M+plZRvTnPOD1MAMTSXHKGUkrsW4N3sj/zS90HfBs9FAGsAn4S6jRiaQY5Yykq1h3c9Uor0BEKgLljKSreMdMMLPfAS2Aqjv3FV6WVET+j3JG0klcxcTMBgNXE7nv/RPgWOBDNDeXSJGUM5Ju4h2AvxpoB6yMzj3UhsitjiJSNOWMpJV4i8lWd98KYGZ7ufsXQMvwwhJJecoZSSvxFpMcM9sPeA1428wmsYdpHnYys65mlm1my8zspiKO9zSzz8zsEzObb2YdShK8SBIrVc6IpKq4xkzc/ezow7+a2XvAvsAbe3qO1maQdFaanBFJZSW5m6st0IHIPfQfuHtujKdobQZJa6XIGZGUFe9Ej7cB/wRqAbWBp8zsTzGeVtTaDA2LOPfZZvYFkW8HXxJPPCLJrpQ5I5Ky4r0y6Q+0KTCgOBJYCNy5h+dobQZJZ6XJGZGUFe8A/AoKfPEK2Av4KsZzSrw2A3CQmdUu4thYd89y96w6derEGbJIQq2g5DkjkrJizc31EJGriW3AEjN7O7rdBZgd49y71mYAviOyNsOAQuc/GPgqOgCvtRkk5QXMGZGUFauba3703wXAqwX2z4x1YnffbmY712aoBDy5c22G6PExRNZmuNDM8oAtaG0GSX2lzhmRVBZrosd/7nwcXfntkOhmtrvnxTq51maQdBM0Z0RSVbxzc3UmcmfKCiID643N7CJNWidSNOWMpJt47+a6FzjN3bMBzOwQ4Dng6LACE0lxyhlJK/HezZW5MykA3P1/QGY4IYlUCMoZSSvxXpksMLPxwL+i2wOJDDCKSNGUM5JW4i0mQ4E/AFcR6f+dBTwaVlAiFYByRtJKzGJiZhnAAnc/DLgv/JBEUptyRtJRzDETd88HPjUzzWMiEgfljKSjeLu56hP5Nu9HwK87d7r7WaFEJZL6lDOSVuItJn8LNQqRikc5I2kl1txcVYkMJB4MLALGu/v28ghMJBUpZyRdxRoz+SeQRSQpuhH5IpaIFE85I2kpVjdXa3c/HCB6z/xH4YckktKUM5KWYl2Z7JqYTpfqInFRzkhailVMjjSzDdGfjcAROx+b2YbyCFAkxQTKGTPrambZZrbMzG4q4vhAM/ss+jPHzI4M5bcQKaFYU9BXKq9ARCqCIDljZpWAR4gspJUDzDOzye6+tECz5UAnd//ZzLoBY4FjgsQsUhbinehRRMLXHljm7l+7ey4wEehZsIG7z3H3n6Ob/yWyHLZIwqmYiCSPhsC3BbZzovuKcykwPdSIROIU75cWRSR8VsS+IpexNrOTiBSTDsUcHwIMAWjSRLO6SPh0ZSKSPHKAxgW2GwGrCjcysyOAcUBPd19X1Incfay7Z7l7Vp06dUIJVqQgFROR5DEPaGFmzaPrx/cDJhdsEJ088hXgguiCWyJJQd1cIknC3beb2XDgTaAS8KS7LzGzodHjY4DbgFrAo2YGsN3dsxIVs8hOKiYiScTdpwHTCu0bU+DxYGBwecclEou6uUREJDAVExERCSzUYqKpIURE0kNoxaTA1BDdgNZAfzNrXajZzqkhjgDuIDI1hIiIpJgwr0w0NYSISJoIs5hoaggRkTQR5q3BmhpCRCRNhHlloqkhRETSRJjFRFNDiIikidC6uTQ1hIhI+gh1OhVNDSEikh70DXgREQlMxURERAJTMRERkcBUTEREJDAVExERCUzFREREAlMxERGRwFRMREQkMBUTEREJTMVEREQCUzEREZHAVExERCQwFRMREQlMxURERAJTMRERkcBUTEREJDAVExERCUzFREREAlMxERGRwFRMRJKImXU1s2wzW2ZmNxVxvJWZfWhm28zsj4mIUaQolRMdgIhEmFkl4BGgC5ADzDOzye6+tECzn4CrgF7lH6FI8XRlIpI82gPL3P1rd88FJgI9CzZw9zXuPg/IS0SAIsVRMRFJHg2Bbwts50T3iSQ9FROR5GFF7PNSnchsiJnNN7P5a9euDRiWSGyhFhMNJoqUSA7QuMB2I2BVaU7k7mPdPcvds+rUqVMmwYnsSWjFpMBgYjegNdDfzFoXarZzMPEfYcUhkkLmAS3MrLmZVQH6AZMTHJNIXMK8m2vXYCKAme0cTNx1Z4q7rwHWmNmZIcYhkhLcfbuZDQfeBCoBT7r7EjMbGj0+xszqAfOBmkC+mV0DtHb3DYmKWwTCLSZFDSYeE+LriaQ8d58GTCu0b0yBx98T6f4SSSphjploMFFEJE2EWUw0mCgikibCLCYaTBQRSROhjZloMFFEJH2EOjeXBhNFRNKDvgEvIiKBadZgkTT289ofmHRDenzNa+8qmYkOoUJTMRFJYwfWqcb8GwtPTFExZd2zNHYjKTV1c4mISGAqJiIiEpiKiYiIBKZiIiIigamYiIhIYComIiISmIqJiIgEpmIiIiKBqZiIiEhg+ga8iEgMmnYmNhUTEZEYNO1MbOrmEhGRwFRMREQksArVzaV+TRGRxKhQxUT9mvFR0RWRslahionER0VXRMqaxkxERCQwFRMREQlMxURERAJTMRERkcBUTEREJLBQi4mZdTWzbDNbZmY3FXHczOzB6PHPzKxtmPGIJDvljKSq0IqJmVUCHgG6Aa2B/mZW+H7UbkCL6M8Q4LGw4hFJdsoZSWVhXpm0B5a5+9fungtMBHoWatMTeMYj/gvsZ2b1Q4xJJJkpZyRlhVlMGgLfFtjOie4raRuRdKGckZQV5jfgrYh9Xoo2mNkQIpf0AJvMLLvYF714edwBlpHawI/l/aIAZkW9fXE+t/zfJ0jQe7WH96lpecYRh3TJGUi+/wuxn6v3CfaQM2EWkxygcYHtRsCqUrTB3ccCY8s6wLJgZvPdPSvRcaQCvVcxpUXOgP4vxCuV3qcwu7nmAS3MrLmZVQH6AZMLtZkMXBi9Q+VY4Bd3Xx1iTCLJTDkjKSu0KxN3325mw4E3gUrAk+6+xMyGRo+PAaYBZwDLgM3AxWHFI5LslDOSysz9N92tUgJmNiTapSAx6L2SnfR/IT6p9D6pmIiISGCaTkVERAJTMYkhOtA528y6Fdh3npm9kci4kpmZuZndW2D7j2b21wSGJOVMeVMyFSFnVExi8Eg/4FDgPjOrambVgP8H/CGxkSW1bcA5ZlY70YFIYihvSizlc0bFJA7uvhiYAowA/gI8C9xqZvPM7GMz6wlgZr83s4/M7JPoJHwtEhh2Im0n8h2HawsfMLOmZjYj+v7MMLMm5R+elAflTYmkfM5oAD5O0b+sFgK5wFRgibs/a2b7AR8BbYCRwH/d/d/R7wlUcvctiYo5UcxsE9AA+Aw4ErgMqO7ufzWzKcBL7v5PM7sEOMvdeyUuWgmT8iY+FSFnVExKwMxuBzYB5wFVifw1AbA/cDqRxLgVeAZ4xd2/TESciWZmm9y9evT9ygO28H+J8SNQ393zzCwTWO3uKXtpL7Epb2KrCDkT5nQqFVF+9MeA3u5eeL6jz81sLnAm8KaZDXb3d8s7yCQymshfpU/toY3+mqn4lDfxG02K5ozGTErnTeBKi86GZmZtov8eCHzt7g8SmfbiiMSFmHju/hPwAnBpgd1ziEwTAjAQmF3ecUnCKG9iSOWcUTEpnTuATOAzM1sc3QboCyw2s0+AVkQu29PdvURmPt3pKuBiM/sMuAC4OiFRSSIob+KTkjmjMRMREQlMVyYiIhKYiomIiASmYiIiIoGpmIiISGAqJiIiEpiKSRIws1vNbEl07p1PzOyYgOfrbGZTi9h/lpndFOTcIslCeZNc9A34BDOz44DuQFt33xadNbRKGK/l7pP57ZriIilHeZN8dGWSePWBH919G4C7/+juq8xshZndZWYfmtl8M2trZm+a2VcWXRM8umbE381ssZktMrO+hU9uZu2iM7QeaGaDzOzh6P6nzexBM5tjZl+bWZ/o/gwzezT6F99UM5u285hIElHeJBkVk8R7C2hsZv+L/mfsVODYt+5+HPA+8DTQBzgWuD16/BzgKCKzjJ4K/N3M6u98spkdD4wBerr710W8dn2gA5G/8EYWOGcz4HBgMHBc8F9RpMwpb5KMurkSzN03mdnRwInAScDzBfpnd15aLyIyg+hGYKOZbbXIFN4dgOfcfQfwg5n9B2gHbAAOJbI+wmnuvqqYl3/N3fOBpWZWN7qvA/BidP/3ZvZemf7CImVAeZN8VEySQPQ/9UxgppktAi6KHtoW/Te/wOOd25WJzMJanNVEpvtuAxSXFAXPaYX+FUlqypvkom6uBDOzlrb7ynJHASvjfPosoK+ZVTKzOkBHIgsOAawnMqX3XWbWuQQhzQZ6R/uA6wIlea5IuVDeJB9dmSRedeCh6OX3dmAZMIRIf2wsrxLpm/2UyBoHN7r792bWCsDdfzCzHsB0i6zQFo+XgVOAxcD/gLnAL/H/OiLlQnmTZDRrsPyGmVWP9knXIvIX2wnu/n2i4xJJZumeN7oykaJMjf7FVwW4I50SQiSAtM4bXZmIiEhgGoAXEZHAVExERCQwFRMREQlMxURERAJTMRERkcBUTEREJLD/D1g2L5gep1kmAAAAAElFTkSuQmCC\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(ncols=2)\n", "sns.set_context(\"paper\", rc={\"font.size\":20,\n", " \"axes.titlesize\":20,\n", " \"axes.labelsize\":20},\n", " font_scale = 1.0) \n", "\n", "sns.histplot(data = df_female, x='Smoking', hue='HeartDisease',stat='probability', multiple='stack', shrink=0.8,ax=ax[0])\n", "sns.histplot(data = df_male, x='Smoking', hue='HeartDisease',stat='probability', multiple='stack', shrink=0.8,ax=ax[1])\n", "\n", "fig.tight_layout()" ] }, { "cell_type": "code", "execution_count": 90, "id": "8b69d7ed", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 90, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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74okr3Jrtw1nPf9SimwBsmUtAAZiMRV8qBQAAAMAWCG4AAAAAJkpwAwAAADBRghsAAACAiRLcAAAAAEyU4AYAAABgogQ3AAAAABMluAEAAACYKMENAAAAwEQJbgAAAAAmSnADAAAAMFGCGwAAAICJEtwAAAAATJTgBgAAAGCiBDcAAAAAEyW4AQAAAJgowQ0AAADARAluAAAAACZKcAMAAAAwUYIbAAAAgIkS3AAAAABMlOAGAAAAYKJ2WXQDAADWwt2eeOKim7AQZz3/UYtuAgBwAxhxAwAAADBRghsAAACAiRLcAAAAAEyU4AYAAABgogQ3AAAAABMluAEAAACYKMENAAAAwEQJbgAAAAAmSnADAAAAMFGCGwAAAICJEtwAAAAATJTgBgAAAGCiBDcAAAAAEyW4AQAAAJgowQ0AAADARAluAAAAACZKcAMAAAAwUYIbAAAAgIkS3AAAAABMlOAGAAAAYKIENwAAAAATtfDgpqruXlXvq6oPVdWTqmrXqnpLVW2sqpdV1U5jvYOq6oyq+khVHTOz/wlVtamqTq2qfcayfcbnm6rqhEWdGwAAAMANsdDgpqpukmRDkl/s7nt19/OSPDrJmd19aJIrkhwxVn9hkgclOTzJhqraparukuTA7j4kySuTPGms++QkrxjLDxzrAQAAAGxXFj3i5uAklyd5a1W9dwxYDk1y8rj95CSHVtVNk+zc3V/r7kuTfDHJ7Zape8i4fkiSU8b1U2bKAQAAALYbiw5u9k1yQJIHJ/mjJC9NsleSi8ftFyXZe1wuntlvc/nVdbv720l2G7fvOj6frXsNVbWhqnp2WamTAljP9J8AALB2Fh3cXJTkjO6+rLs/l2SPsWyPcfueSS4clz1m9ttcfnXdcVTOZeP2y8fns3Wvobs3dHfNLit4XgDrlv4TAADWzqKDmzOT3LGqdq6qfZN8O8npSR4wbj8yycbu/k6Sq6pq36raLckdknxprHvkTN1N4/rGJeUbV/1MAAAAAFbYLvNUrqr9klzc3d+6jjo3S7JXd5+3teN190VV9bdJThvbclySTyR5TVVtTPLZJKeO1Y9L8rYMYdOG7r4yyTlVdXZVbUpyaZJfG+s+L8nrquoJST7Q3efMc54AAAAAUzBXcJPkyxnuAvXM66jzuCQnJNl5Ww7Y3a9O8uolxQ9Zpt6ZSe6xTPnxSY5fUvaNJPffltcHAAAAmKp5L5WqcQEAAABgla3GHDc/nO9PEgwAAADA9bTVS6Wq6lFLiu66TFkyXBq1X4Z5Zj6zAm0DAAAA2KFtyxw3r0nS43oneeC4LLX5EqrLkzzjBrcMAAAAYAe3LcHNb4yPleRVSd6R5J3L1LsqyQVJPtLdF69E4wAAAAB2ZFsNbrr7tZvXq+rXk7yju09c1VYBW3S3J+6Y//md9fzlrtAEAABY3+a6HXh333u1GgIAAADANa3GXaUAAAAAWAFzjbhJkqq6V5InJrl7kr2yfPjT3T33sbdnLl8BAAAAVtpc4UpVPSDD5MQ7JzkvyReSXLnyzQIAAABg3lExG5JckeQB3f2+lW8OAAAAAJvNO8fNXZK8WWgDAAAAsPrmDW4uTXLhajQEAAAAgGuaN7h5f5KDV6MhAAAAAFzTvMHNk5P8WFU9rapqNRoEAAAAwGDeyYmfnuScJM9I8uiq+lSSi5ep1939mBvWNAAAAGBHUFX/2d23nHn+miRv6u73rMCx/7i7XzCu758h1/iXJLsm+Y8kJ3T3B8btr0jyZ9197g193ZUyb3Bz7Mz6/uOynE4iuAEAAAAWoqo2X2X0x0leMLPpM939s2Odg5K8o6ru192f6e7fXOt2bs28l0rdZhuX265gGwEAAIAdVFUdXFWbquoTVfXGqrrpWP7yqjqrqs6pqsfP1P96Vb0gyceTvCzJzavqU1X1oqXH7u4zk7w0yW+O+55WVXeqqn2r6sPjfp+uqjuN2x9bVR8by546lu1eVR8Y2/epqrr3WH6XsX2fqqpPVtWeY/nxM8f49a2d/1wjbrr73+apDwAAALANbj5Ox7LZfkneVFU3TvLcJEd198VVdXyGkOXFSZ7S3ReOdU6vqjd399eS/FCSf+juP06Sqjq6u+86ru+/zGufneR3lpQ9PMk/dvfTq+pGSXapqrskuW+Sg5JUklOr6t1JPp/kgd19SVX9SJJ3JfnpJL+d5MXd/eqq2jXJd6vqyCR7dvfPjAHUR6rq5O4+f0tvzLyXSgEAAACstAs2hyvJ1XPcJMkdkxyQ5LTxHkk3TnLKuO1hVfWYDNnGj451v5bk0u5+7xyvvdzNlz6e5NVVdWWSt3b358aRNPdI8omxzg8muX2G4Oa5VXVIku8luWNV7ZzkI0meVlU3T/J/uvvfqurnkzywqu4zHmOPDFcurUxwU1X7bWvd7j5vnmMDAAAALFFJPtbd97tGYdVtMoyS+bnu/lZVvS3JTcbNl835Gj+ZYbLiq3X3h6rqnkmOTvL2qvr9sS0v7e5nLWnLbyS5aZKf7u4rq+qCJDfq7jdU1cfGY3yoqo4Yj/Gn3f2GbW3cvCNuzs0w8fDW9PU4NgAAAMCszye5TVUd0N2fqaqbJblFkt2TXJLkkqr60SQ/n+Rvt3CMrqqduvt7SzeMkxP/bpJfWFJ+6yT/3t0vrap9M4z6+cckb6iqvxkv27p1hjtt757k62Noc3SSvcdj3CbJl7r7hVV11wwjgv4xyXFV9bbu/u+q+okkn+/uq7b0BswbrpyY5YObPZPcNcmtk5yWxFw4AAAAwA3S3d+tqocneVlV7ZYhk/ij7j6tqr6Y5J+T/GuSTddxmDck+eeqem+Sv0xyQFV9Mt+/Hfgju/vTS/Y5LMmTquq7SS5I8qvdfX5V/XmG+XQqyTeT/EqSv0vy7nF0zT8l2XwF0q8meWRVXZHkS0ne093fqaoDknx8PMZ/JDniut6DeScnPnZL28bbbP1phqFKW50VGQAAACBJuvuWS54fO7P+sQxzyyzdZ9nsYZljHZfkuJmi3a6jHYeNq59P8tpltr92ufIkPzuz/vvj47PHZekxnpthwuVtMu/twLeou7/X3c/IcDnVc1bquAAAAAA7qhULbmackeR+W60FAAAAwHVajeBm71zHsCMAAAAAts2KBjdVdd8kD80wORAAAAAAN8BckxNX1Qeu4zi3SrLf+PyEG9IoAAAAAOa/HfhhWyjvJBcleW+SF3T3lgIeAAAAALbRvLcDX405cQAAAAC22d2eeGKvxHHOev6j6rq2V9X+Sb6c5H7d/Q/j8xd391Er8frbQhADAAAAsGWfTfLURb34DQpuqmr3qrpVVe2+Ug0CAAAAmJAvJ/lqVd1zc0FV3amqPlRVp1fV31bVdY7cuSHmDm6qaueqekpVfSnDvDbnJrmoqr40ls87bw4AAADAlD0r1xx189wkT+jueya5Iskxq/XC895V6sZJ3pPkXhkmJP5Kkv9Ism+S/ZP8ryT3r6r7dfd3V7apAAAAAGuvuz9XVZckOWgsuk13nzWun5Hkjqv12vOOuHlChjtLnZzkzt29f3cf3N37Z2jku5IcOtYDAAAAWC/+V5I/GdfPraq7jev3SPIvq/Wi817W9PAk/5zkF7v7e7Mbuvtfq+qXk3wqySOSPGdFWggAAAAwY2t3g1oN3X12Vf1bhkEwT0nysnFqmy8mOWm1Xnfe4OZ2Sf56aWizWXd/r6pOTfIHN7hlAAAAAAvU3ecmOWrm+excNoeuRRvmvVTqu0l+cCt1dsswMQ8AAAAAN8C8wc2nkzyoqvZZbmNV3SLJg5KcfUMbBgAAALCjmze4eXGSfZL8U1U9pqpuW1U/UFW3qarfSHLmuP3FK91QAAAAgB3NXHPcdPdbququGSbhefkyVSrJ87r7LSvQNgAAAIAd2ryTE6e7/6SqTkrymCQHJtkjyTeTfDLJq7r7IyvbRAAAAIAd09zBTZJ090eTfHSF2wIAAAAwGVX17iTP6u4zquomST6c5Jju/tpatWGu4KaqHpzkd5M8crlGVtWPJDkxyUu6++/nOO4hSTZmmB/n8iSvSbJvks8m+d3xNuMHJXlRhsuxnt3dJ437npDkPkkuSfKo7v7GOHnyiUluluQD3X38POcJAAAATNd5JxzQK3Gc/Y7/TG2lyh8kecOYWzw5yWvWMrRJ5p+c+DeT7LmlRnb3V5PsPtabx+OTfHxcf3SSM7v70Ay3FT9iLH9hhjtWHZ5kQ1XtUlV3SXJgdx+S5JVJnjTWfXKSV4zlB471AAAAALZZd385ybsyZBL3TXJhVW2sqjOq6jeTpKp+q6rOrKrTqur/X+k2zBvcHJDvByxb8vEkP7mtB6yqo5NsSnLZWHRokpPH9ZOTHFpVN02yc3d/rbsvTfLFJLdbpu4h4/ohSU4Z10+ZKQcAAACYx/OTHJ3kiUl+O8lhGXKGX6+q3ZM8PMkDuvuwJH+z0i8+b3Czd5L/2kqdC5LcYlsOVlU7Zbj06qUzxXsluXhcv2h8zb1nymbLr67b3d9Ostu4fdfx+Wzdpa+9oap6dtmWNgPs6PSfAADsSLr7iiTnJflehkEk70/ygQyZxI8keUKS51bViUnusdKvP29wc36S22+lzu1zzZDlujw8yUnd/Z2Zsosy3KkqSfZMcuG47DFTZ3P51XXHUTmbR+1cPj6frXsN3b2hu2t22cY2A+zQ9J8AAOygzkvyuST3GUfXHNjdn0vyue5+TJKnJnneSr/ovMHNh5McU1V3Wm5jVd05yQMzTDS8LQ5I8qCqek+Gy6venOT0JA8Ytx+ZZOMY7FxVVftW1W5J7pDkS2PdI2fqbhrXNy4p39b2AAAAACznqiR/m+S0qvpgkneOVxK9dHz+tiT/e6VfdN7bgb8gyS8n2TTezek9Sb6aYWjQEUn+NMnOY72t6u4nb16vqtOSPDTjXaWqamOGu0qdOlY5LsObsFOSDd19ZZJzqursqtqU5NIkvzbWfV6S11XVEzLcVeqcOc8TAAAAmKhtuBvUihpH2CTDgJM3L9l87Gq+9lzBTXd/rKp+L8lLMtya+0VLqlyV4fbdZ87bkJk3IUkessz2M7PMtWLjrb6PX1L2jST3n7cNAAAAAFMy74ibdPffjiNcfi/JQRnmkLk4yUeTvHS8vgsAAACAG2ju4CZJxnDmD1a4LQAAAADMmHdyYgAAAADWiOAGAAAAYKIENwAAAAATJbgBAAAAmCjBDQAAAMBECW4AAAAAJkpwAwAAADBRghsAAACAiRLcAAAAAEyU4AYAAABgogQ3AAAAABMluAEAAACYKMENAAAAwEQJbgAAAAAmSnADAAAAMFGCGwAAAICJEtwAAAAATJTgBgAAAGCiBDcAAAAAEyW4AQAAAJgowQ0AAADARAluAAAAACZKcAMAAAAwUYIbAAAAgIkS3AAAAABMlOAGAAAAYKIENwAAAAATJbgBAAAAmCjBDQAAAMBECW4AAAAAJkpwAwAAADBRghsAAACAiRLcAAAAAEyU4AYAAABgogQ3AAAAABMluAEAAACYKMENAAAAwEQJbgAAAAAmSnADAAAAMFGCGwAAAICJEtwAAAAATJTgBgAAAGCiFhrcVNWdq2pTVZ1eVR+sqttW1a5V9Zaq2lhVL6uqnca6B1XVGVX1kao6ZuYYJ4zHOLWq9hnL9hmfb6qqExZ1fgAAAAA3xKJH3Jyf5KjuvmeS5yb5kySPTnJmdx+a5IokR4x1X5jkQUkOT7KhqnapqrskObC7D0nyyiRPGus+OckrxvIDx3oAAAAA25WFBjfd/Y3uvnh8emWSq5IcmuTksezkJIdW1U2T7NzdX+vuS5N8Mcntlql7yLh+SJJTxvVTZsoBAAAAthuLHnGTJKmqXZOckOQvkuyV5OJx00VJ9h6Xi2d22Vx+dd3u/naS3cbtu47PZ+sufc0NVdWzy8qdEcD6pf8EAIC1s/Dgpqp2SfKmJM/r7s9lCFr2GDfvmeTCcdljZrfN5VfXHUflXDZuv3x8Plv3Grp7Q3fX7LKCpwWwbuk/AQBg7Sx6cuLKMDfNqd39jrH49CQPGNePTLKxu7+T5Kqq2reqdktyhyRfGuseOVN307i+cUn5xtU8DwAAAIDVsMuCX/8Xkjw4ya2r6qFJPpVhguLXVNXGJJ9NcupY97gkb8sQNm3o7iuTnFNVZ1fVpiSXJvm1se7zkryuqp6Q5APdfc5anRAAAADASllocNPd70my6zKbHrJM3TOT3GOZ8uOTHL+k7BtJ7r9CzQQAAABYiIXPcQMAAADA8gQ3AAAAABMluAEAAACYKMENAAAAwEQJbgAAAAAmSnADAAAAMFGCGwAAAICJEtwAAAAATJTgBgAAAGCiBDcAAAAAEyW4AQAAAJgowQ0AAADARAluAAAAACZKcAMAAAAwUYIbAAAAgIkS3AAAAABMlOAGAAAAYKIENwAAAAATJbgBAAAAmCjBDQAAAMBECW4AAAAAJmqXRTcAYFucd8IBi27CQux3/GcW3QQAAGCBjLgBAAAAmCjBDQAAAMBECW4AAAAAJkpwAwAAADBRghsAAACAiRLcAAAAAEyU4AYAAABgogQ3AAAAABMluAEAAACYKMENAAAAwETtsugGsH0774QDFt2Ehdjv+M8sugkAsE38vxoAtm9G3AAAAABMlBE3ALAARkEAALAtjLgBAAAAmCjBDQAAAMBECW4AAAAAJkpwAwAAADBRghsAAACAiRLcAAAAAEyU4AYAAABgogQ3AAAAABMluAEAAACYqHUb3FTVb1fVGVX1oaq63aLbAwAAADCvdRncVNXeSR6d5NAkxyV59mJbBAAAADC/dRncJDkoyQe7+6ru/niSOyy6QQAAAADzWq/BzV5JLp55XgtqBwAAAMD1Vt296DasuKo6Isk9u/up4/NPdfddl9TZkOTpa986gLXT3SseXOs/gR3BavSfAHB9rNfgZu8kJyc5JMlPJXlqdz94sa1an6qq/WHDWvBZY73xmWat+KwBwPZtl0U3YDV094VV9dokG5NckeQxC24SAAAAwNzW5Ygb1o5f8VgrPmusNz7TrBWfNQDYvq3XyYkBAAAAtnuCG26oZyy6AewwfNZYb3ymWSs+awCwHXOpFAAAAMBEGXEDAAAAMFGCG1JV+1fVBVV12rj81goe+7CqevFKHY/1Z/z8dVX9ykzZu6vqtOuo/+41ayBcB/0ni6YPBYD1b13eDpzr5SPdfdSiG8EO62NJHpzkbVW1d5KbJXEdJ9sL/SeLpg8FgHXMiBuupap+qqreP/56/LIaHFtVb6+qd1XVOVV11PiL3jlVdfC43+Or6h+q6pNV9bvLHPc+VXV6VW2sqqev/ZkxYf+VZNeq2j3Jg5K8NUmq6mFV9Y9V9bGq+rOlOy33WV3jdsM16D9ZEH0oAKxjghs2O3jzUP8kf5HkEd19WJJLk9xvrHNFdx+d5DlJnpLk6CS/My5J8vLuPjzJQUkeV1VXf77GPwafm+SI7j40yQFVdcdVPyu2J29P8otJjkly0lh2UnffN8ndk9y7qvZdss9fZPnPKqwl/SdToA8FgHXKpVJsdvVQ/6r6RpI3jT+8/WCSf84w5PpjY92vJDm7u7uqvpJk77H8oVV17Fh33yR7zRz/Fklum+Tk8bh7JtkvyRdW75TYzvx9klOT/N8kl41l96mqxyfZOcmPJfkfSS6Y2ecuufZnFdaa/pMp0IcCwDoluGE5n0nykO4+P0mq6kZJHpFrXi8/u755aPVTk/x4hj8QvzBTniTnJ/mXDL8Yf3v8NdmQbK7W3d+sqlOSfGim+JlJDkvyrSRn5NqfmeU+q7BI+k8WQh8KAOuX4IblPD7JG6tqlyTfS/K4bdzvfRn+MDwnyYWzG8Zfl/9nklOrqpNckeSRGa7LhyRJd/9ZklTVLcaiNyU5PclnMwzjX2q5z+o5a9BU2BL9JwujDwWA9am63XQAAAAAYIpMTgwAAAAwUYIbAAAAgIkS3AAAAABMlOAGAAAAYKIENwAAAAATJbgBAAAAmCjBDVwPVbVzVT22qj5UVRdW1RVV9V9V9emqekVVHbPoNgJMkf4TAGA+1d2LbgNsV6pq5yTvTnL/JBcnOTnJvyfZO8mPJTk4ySe6+5BFtRFgivSfAADz22XRDYDt0MMyfOk4O8m9uvubsxuratckBy2iYQATp/8EAJiTS6VgfvcYH1+z9EtHknT35d39waXlVfWwqvpgVV1UVd+pqs9V1dOq6iYzdfaqqnOr6r+r6m5L9t+pqk6rqq6qR674WQGsPv0nAMCcBDcwvwvGxzts6w5V9cokb0hyuyR/n+QlSS5M8swk76mqXZKkuy9K8qsZ/tt8c1XtPnOYpye5V4YvPK+/oScBsAD6TwCAOZnjBuZUVQcmOTPDpYZ/l+TtSc7q7n/bQv1jk7x6rPeI7v72zLYNGb5Q/FF3/+VM+ZOSPDfJm7r7YVV17yT/mOQLSX6muy9bhVMDWFX6TwCA+Qlu4Hqoqock+cskt5wpvjDJ6Ule1d3vmqn7ySR3SbJPd1+85Dg7J/l6kv/b3XefKa8kp2SYC+KpSR6XZK8kd+/uz6zGOQGsBf0nAMB8BDdwPVXVjZLcO8khSQ4cH/ccN5+Y5NgkP5Dk0iTnJ/mbLRzqsUl27+6bLTn+Pkk+leR/jEW/3d0vX7ETAFgQ/ScAwLYT3MAKGX/9/ZUkr0qyW5JfSvKxDLe63arurmWO+cYMczZckORWs5cJAKwX+k8AgC0zOTGskO6+qrvfkuRFY9F9kmy+a8onu7uua1l6vKr61QxfOs5PcvMkf7UW5wGw1vSfAABbJriBlXfJ+FjdfWmSc5L8RFXtva0HqKofS/LyJN9I8tMZ5n74zfHLCMB6pf8EAFhCcANzqqqHVdXhVXWt/36q6pYZ5lxIhi8LSfLCJDdO8qqq2nOZffaqqp+eeX7jJG9O8oNJfr27v5Lk4RmG+7+8qm63kucDsFb0nwAA89tl0Q2A7dBBSf4wyX9W1aYkXx7Lb5PkARkm1HxnkrcmSXe/qqruluT3kvxrVb03yXlJ9h73uWeG293+znic5yW5W5IXdvep4zG+Ot4W911J3lRV9+ju7672iQKsMP0nAMCcTE4Mc6qqWyU5Jsl9k/x4kn2T3DTDL7qfTPKGJG/o7u8t2e+oDF8u7p7h7ikXZvgC8r4kr+/uz1fV0UlOSvLxJPfo7iuWHOOFSR6f5K+6+w9X6xwBVoP+EwBgfoIbAAAAgIkyxw0AAADARAluAAAAACZKcAMAAAAwUYIbAAAAgIkS3AAAAABMlOAGAAAAYKIENwAAAAATJbgBAAAAmCjBDQAAAMBECW4AAAAAJur/Ae3VlW6M1Y+dAAAAAElFTkSuQmCC\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.catplot(data= df, x = \"Sex\", col= \"Smoking\", hue='HeartDisease', col_wrap = 3, kind=\"count\")" ] }, { "cell_type": "code", "execution_count": 91, "id": "306a05f1", "metadata": {}, "outputs": [], "source": [ "#ax = sns.histplot(data=df, x='Smoking', hue='Sex', stat='probability', multiple='stack', shrink=0.5)\n", "#for p in ax.patches:\n", "# left, bottom, width, height = p.get_bbox().bounds\n", "# ax.annotate(\"%.1f\"%(height*100), xy=(left+width/2, bottom+height/2), ha='center', va='center')" ] }, { "cell_type": "code", "execution_count": 92, "id": "ae4ba0d0", "metadata": {}, "outputs": [], "source": [ "#sns.set_theme(style='darkgrid')\n", "#ax = sns.histplot(data=df, x='Smoking', hue='Sex', stat='probability', multiple='fill', shrink=0.8)\n", "#for p in ax.patches:\n", "# left, bottom, width, height = p.get_bbox().bounds\n", "# ax.annotate(\"%.1f\"%(height*100), xy=(left+width/2, bottom+height/2), ha='center', va='center')" ] }, { "cell_type": "code", "execution_count": 93, "id": "d900dd7e", "metadata": {}, "outputs": [], "source": [ "#sns.set_context(\"paper\", font_scale = 1.5, rc={'axes.labelsize': 17.6,\n", "# 'axes.titlesize': 19.200000000000003,\n", "# 'font.size': 19.200000000000003})\n" ] }, { "cell_type": "code", "execution_count": 94, "id": "cc504cd1", "metadata": {}, "outputs": [ { "data": { "image/png": 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7PHkFZlZhZp54y1m1IgnSOUoteYiOdLm7n9LIMumE5yaC676/ZGZz3P2dpPoq0Ci70ozkODMbgSMTHicP+PkJMMvdPazjCGCnzIS7+CoSp6npSD6kc9BAecR1p/MCVnikGJVH/L10XreLgJvMrCXQG1ieNH8BwXc7rwN9gOcj1iKSdekcNJDL3W4KjxSdXGbG3TeY2RPAfMIDbcxsKNDO3Z8Gfgw8ama7A6+4++u5qkWkqaIMbZM1Co9I07n7JGBSwqT3EuatIPj+RqTZibXhgMIjIlIqNLSNSJYpMyKpaWgbkeyrRJkR2YWGthHJPmVGJIXYh7YRKTbKjEhqcY80ICIiJSKjo9TMrD/BeTLtgM3AUnefn43CRIqRMiOlLFLDMbNvAr8EutdNItxHbWbLCUZ9fjUrFYoUAWVGJELDMbPjgJeB3YBXCI7A+RewLzAIGEAw7ll/nagposyI1InyCee/w987292nJ8272czOBp4Jlzstw/pEioEyI0K0gwZOAn6fIjgAuPuzwB/C5UREmREBojWcWhKGn6nHcnTegUgdZUaEaA1nMcHIzg3pDfw1wrpFipEyI0K0hvO/gSFmNibVTDP7AXAK8JNMChMpIsqMCOkN3nlTislzgPvN7BqCSwusBToRXBL6UGAm8C2C692IlBRlRiS1dI5Sq2hg3qHhLdlpwFDg1gg1iRS6igbmKTNSstJpOINyXoVIcVFmRFJIZ/DOV/JRiEixUGZEUtPgnSIikhdqOCIikheRGo6ZdTazB8zsPTP7wsxqUty+zHaxIoVKmRGJNnjnfgQnqHUC3ga+BrwPbAMODtf5BsHQ6yIlT5kRCUT5hHMTwSi3Q9297uzpx929J0F4XgR2B76TnRJFCp4yI0K0hnMqMNPdZyXPcPdVwPkE4bk5w9pEioUyI0K0hrMvwW6BOjUEYQHA3f9NcO2PszMrTaRoKDMiRGs4W4DWCY83AvslLbMZ+EbUokSKjDIjQrSG8z5wQMLjN4GTzezrAGbWgmBMqFWZlydSFJQZEaI1nNnAIDMrCx8/AXQBFprZz4BXgf8Ans5OiSIFT5kRIdolpicT7BLoCHzk7k+G12z/IXBUuMw0gsvliogyIwJEaDjuvhy4M2natWZ2O8EhnivdfW2W6hMpeMqMSCDKJ5yU3P1j4ONsrU+k2CkzUmoyajhmdgBwDNCO4Cibpe7+YTYKEylGyoyUskgNx8wOBR4ETk4xbw7wA3f/R4a1iRQNZUYk2lhq3YGFQAfg/wELgH8RnNzWj+Da7AvM7CR3fy+LtYoUJGVGJBDlsOiJBMG5Gujh7iPd/Xp3Hwn0AK4lOBrn9nRWZmajzWyhmb0SBjN5fksze9fM/itCrSLNgTIjQrSGcwrwvLvf5+61iTPcvdbdfwG8AAxubEVmtjdwKdAfGE8QzGSXErwrFClUyowI0RpOa4Kh1BvyBlDWyDIAJwBz3b3G3RcDhyXONLPdgLOAZ5pepkizocyIEK3hvAns8jE+SXfgb2msay9gU8JjS5r/Q+BhwNMtTqQZalaZMbMKM/PEWxrbFclYlIZzO/AdMzst1UwzOx04l/TOmt5IcHhonR27G8ysHVDu7jMaWoHCIwWgWWXG3Svc3RJvaWxXJGONHqVmZt9PMfkFYIaZzQbmAWsJrmY4kOCwz+kEX4I2ZhFwk5m1BHoDyxPm9QQ6mtlMgpF1y8zsTXd/OXEF7l4BVCTVrKYjsWnumRGJSzqHRU9h14/nde+IBpP6i86zgDOBXzW0YnffYGZPAPOBauAyMxsKtHP3pwn2V2NmI4COCo4UiCkoMyK7SKfhjMxlAe4+CZiUMGmX8xDcfUouaxDJMmVGJIVGG467P5GPQkSKhTIjklqUgwZERESaLPLgneHVCr9DMBBhe4KBCF8H/uDun2WlOpEiosxIqYs6eOe3Ca5auDc7nwfgwD1mNrKxQzNFSokyIxJt8M5jgd8DLYFfA3OAj4DOBId3Xgw8Y2bfdPclWaxVpCApMyKBKJ9wbiR4V9bf3f+SNG+KmT0AVAI3AN/NrDyRoqDMiBDtoIH+wG9TBAcAd19EMI5T/0wKEykiyowI0RpOO6CxKxR+ALSNsG6RYqTMiBCt4awBjm9kmT4E+6hFRJkRAaI1nOeBk83sx+F4TjuYWQszG08wdMfz2ShQpAgoMyJEO2jgVuAcgpFtR5vZfIJ3ZnWXy+1KcPnc27JTokjBU2ZEiNBw3P1fZtaPYCynIcBBSYu8DFzp7to9IIIyI1In0omf7r4CONXM9iM4a7odwVnTS919dRbrEykKyoxItBM//wm84O4/CIOisIg0QJkRCUQ5aOAbBO/MRCQ9yowI0RrO28Ah2S5EpIgpMyJEazj/BzjTzI7KdjEiRUqZESHaQQOrgFnAq2b2MPAawSGdyZfUxd3nZVaeSFFQZkSI1nAqCYJiwDhShCZBywbmiZSKSpQZkUgN5xYaDoyI7EyZESHaiZ8VOahDpGgpMyKBJjUcMzsQ6Evwbu01d29sBFyRkqbMiHwl7YZjZj8HruGry+O6md3j7tflojCRQqfMiOwsrcOizWwYwZedBrwLVIU/jzOzi3NXnkhhUmZEdpXueTiXAV8Cg939P9z9cOBUoDacJyI7U2ZEkqTbcI4C/ujuc+smuPss4Fng6BzUJVLolBmRJOk2nL0Idgkkexdon7VqRIqHMiOSJN2G0wKoTjG9mq++EBWRrygzIkmaMpaaTlwTaRplRiRBU87DqTCzilQzzKwmxWR390gXeBMpEsqMSIKmvLibuhtAuw2k1CkzIgnSajjuHuUyBiIlS5kR2ZVCISIieaGGIyIieRF7wzGz0Wa20MxeMbPuSfOeCOctMrPhcdUo0pwoM1KoYj0ixsz2Bi4FTgKOASYC5ycscpu7LzezrwFvmtlUd091boNISVBmpJDF/QnnBGCuu9e4+2LgsMSZ7r48/LEuMLX5LE6kGVJmpGDF3XD2AjYlPK7vsNAJwDR3T3XugkgpyTgzZlZhZp54y0GdIruIu+FsBNolPN7l3ZiZXUIw2OEtqVag8EiJyTgz7l7h7pZ4y0mlIknibjiLgHIza2lmxwLLE2ea2VBgBPB9d0+5a0DhkRKTcWZE4hLrQQPuvsHMngDmE+xzviwMTDt3fxqYAqwBXjQzgIvc/V9x1SsSN2VGClns4za5+yRgUsKk9xLm7Zv/ikSaN2VGClXcu9RERKREqOGIiEheqOGIiEheqOGIiEheqOGIiEheqOGIiEheqOGIiEheqOGIiEheqOGIiEheqOGIiEheqOGIiEheqOGIiEheqOGIiEheqOGIiEheqOGIiEhexH49HBFpvjZ+vJZnrzs97jJyZvfWZXGXUFLUcESkXgd/Yw8W/+jwuMvImT53vRN3CSVFu9RERCQv1HBERCQv1HBERCQv1HBERCQv1HBERCQvdJSaiEgT9Rs0mI/Wrou7jJzp3GkfFsydlfX1llTD0TkFqSk8Ik3z0dp19L3m4bjLyJnX7h2dk/WWVMPROQWpKTwikg/6DkdERPJCDUdERPJCDUdERPJCDUdERPJCDUdERPJCDUdERPJCDUdERPJCDUdERPJCDUdERPIi9oZjZqPNbKGZvWJm3ZPmdQ+nLzQznS4ugjIjhSvWhmNmewOXAv2B8cDEpEXuAMYBA4BLw+VFSpYyI4Us7rHUTgDmunsNsNjMDkuaf6i7LwEws0rgeGBmfksUaVaUmWZAAwFHE3fD2QvYlPDYkuYnPt4I6N1aDig8BUWZaQY0EHA0cTecjcCRCY9rk+YnPm4PvJG8AjOrAH6aYnrKDdrIFU2rsMDU93eXsq0U1fOizGRZ1NeGnpcI63T3rK807Y0H+5efA/oBvYHr3f38hPm/JdhH/SawADjd3TfEUWsUZubuXjT/02WLnpfolJnSVCzPS6yfcNx9g5k9AcwHqoHLzGwo0M7dnwauByYDZcCUQgqOSC4oM1LIYv2EU+yK5V1Jtul5kfrotZFasTwvsZ+HIyIipUENJ7dujruAZkrPi9RHr43UiuJ50S41ERHJC33CERGRvFDDyRIz62pmbmZDEh7PiLuuuJjZDDM7Kfz5a2a22My6xF2XNB/KzK6KPTdqONn1DsFhqQI/BP7HzFoCEwgO0V0Tc03S/CgzOyvq3KjhZNcKYLWZDaibYGY9w9F755nZo1ZEp7w3xN1XANOBu4HBwAYzmx+OYjwKwMyuMLNFZlZpZmPjrFdio8wkKPrcuLtuWbgBXYEZQC/ghYTHzwLHhcs8CJwdd615fE7KgH8SDDj5CtCS4E3OfKAtUAl0DJdtEXe9uuX99aHMpH5eijY3cY+lVnTc/e9m9inBiwWgm4ej9wILgR7xVJZ/7l5tZh8QjO/VHZgdztoL2I9gGP07zawMeIRgKBYpMcrMzoo5N2o4ufHfwK+AD4GVZnZcGKCTgJdirSweHwB/B77l7rVmVhaGand3v8zM9gN+S/D8SGlSZnZVdLlRw8kBd3/TzN4n+Bj8Y+DhcDf0cuBPcdYWkxrgUaDSzGqAL8zsDOAhMzsI2J1g14mUKGUmpaLLjU78FBGRvNBRaiIikhdqOCIikhdqOCIikhdqOCIikhdqOCIikhcl0XDMrCIcJLA8j9usNLOcHgKYj22k2GZWnkszKw/XU5Hm8lPC5btmsl1JjzKT1W0qM6GCbzhmdmP4pLqZldQZyakkjMCbePvCzNaZ2V/M7H4z6x93nRIfZWZnykz+FHTDCQf1uwyoe8dyeYzlNDebCa4SeDPwP8AzBCeSjQHmmdmLZtYpwnrvJxj76q/ZKjRN14fbXZ3n7RYVZaZBykyOFfpIA98CugFTgNOA4WZ2g7tvj7Wq5mGTu1ckTzSzg4HJBM/dTDM70d23prtSd/8E+CRrVaa/3Y+Aj/K93SKkzNRPmcmxgv6Ew1fvzh4Ffg10BM5tygrCodB/aWYrzWxb+DF6vpmNSbHsKWY208w2mNlWM/uHmd1hZu0aWH8rM7vBzJaH6//QzO40s9b1LN/kbTSFu/8TOB14FzgauDJp+yvDW1szuzv8ubpuv3F9+6PDaZVm1tHMHjGzj8K/920zG5lufWa2m5k9E67vATNrEU7fZX90wq6QKeHP08zsk/B5W2zBMCCpttHOzO41s1Xhsu+a2TgzO7hufenWW4CUmSZSZrKYmbiHq85gCO9OwHagKnx8BMFugtkplq0I55UnTT8d+JzgY/NzwETgIYIRalckLTuaYPTWT4FfAncAfwnX+zbQPmn5ynDebwjeZfwSuBf4Rzj98RR1RtpG0rSu4fIrG3n+6narvJY0fSWwBlhMMET6I8DPgeGNPJcOvAFUAcuA+wj+U9sYzhuetHx5OL0iYdpeBEOw1wI/Tlp+Srh81xR/61xgXfhc3QM8AWwN/10HJa1nN2BJ+HuvA3cCk4D1wB/C6VPifn0rM8oMRZiZ2EOQQXh+HP6h1ydMWxI+8d0bCw/BO7vNBAEcmGL9+yf8fBCwDdgC9Exa7sFw3Y/UE54lwN4J0/cA3gv/YffNxjYihueQcLkvgVZJ4XFgFrBHit9rKDwOPAa0TJh+eLiNdxoKT/j3vxP+e/xniu02FB4Hfpq0/Knh9OeTpv8knP4U4ViC4fQDgI+bEp5CuykzykzcmSnIXWpmZsAogqD8KmHWFKBuXmOGE1zM6CF3fyV5pruvSnj4n0Br4H53fzdp0RsJ3l19z8y+lmI7E9x9Q8J6PyPYldEC6JOlbURR90ViS2DvFPPHh7U2xefAOHevqZvg7u8ArwK9zKxNql8ys6OBPxNc6+M0d3+yidt9H7gtcYK7v0gwvPvxScsOJ3jdXO9hasLlPyR4N12UlJmsUGYyzExBNhzgZIJ3Gy+7e+IRGFMJuv0ICy5O1JD/Fd6/kMb2jg3v5yTPcPeNwFKCj509U/zu4hTTPgzv98rSNqJIvGyvJ83bCvwtwjqXu/uWFNPr/t72Keb1A+aFNQxw99kplmnMG4mBTdrujufYzNoSvG5Wu/vKFMsXzIWsIlBmMqfM7KpJmSnUhnNFeD8lcaK7rye4Hngn4OxG1tE+vE/nkMF24X19R3zUTW+fPMPdN6VY/svwvmU2thFRl/C+hmCfcaJ1ie9kmmBTPdNT/b11jgHaEOzDTn6Xmo3tJr7G24b3a+tZvr7pxUCZyZwys6smZabgGo6ZfQM4J3z4lCWdsAV8N5x3RcoVfGVTeL9fGpvdHN7vW8/8zknLRZGPbSQaFN4vcfcvk+ZFCU5U9xN86Xwq8Ccz2z2H26p7J1nfuRRRzrFo9pQZZSYDWc1MwTUcgv2JrQm+WJxcz+1jYLCZdWtgPX8J709LY5tLw/vy5Blm1p7gUMmtBJeDjSof26hb39eB8eHDX2e6vgy5u19FsC/4W8BzZrZHjja0heAoov0s9XAf/XKx3WZAmcmQMpOdzBRiw6n7cvMqdx+V6gY8TONfhD5B0L3HmNmA5Jlmtn/CwyeBauCHZtY9adFbCT52Punu2yL+TfnaBuF/KM8R7NdeSvBcxc7dryU4xHYQ8GK47zgXfkXwup8YfpEOgJkdAFyTo23GTZnJgDKTvcwU1EgD4YlTPYBl7t7QMBGTCY5SGWlmP021gLt/YmbDCIavmGtmLxB86dcWOIrgkL9u4bIrzewa4AHgdTP7DcE7woHAiQT7USdk8rflYBvt7atB/loRfBHYO1xXC2AmwXH+GYUxm9z9BjPbSjC0yMtmNjT88jeb7iLYvXQR0MPMXiL4LuACgi9izyE4IqcoKDPKTBZkLTMF1XD46izpxxpaKHwhzgKGAGc2sNxzZtaH4EV5CsHH040EL9SJScs+aGbvAf9FsM/76wRHdPwMuL2eLzqbJMvbaAfU/cdRd67CPwnOT3ja3ZvlEVnufouZfUHwIp9tZt/yYGiQbK3/CzMbBNwCnAdcC6wAbic4ge4cvtpvXQyUmfQpM6nXn7XMWLQDK0SKj5ldTnCW+JXu3ix2m4g0Z03NjBqOlBwz6+Lua5KmHUBwsl1ngjOzm80IuyJxy1ZmCm2Xmkg2/C48yXEJwaG+XYEzCHbHXK9mI7KLrGRGn3Ck5JjZVcD3gEMJ9tv/m+Doo/vd/fdx1ibSHGUrM2o4IiKSF4V4Ho6IiBQgNRwREckLNRwREckLNRwREckLNRwREckLNRwREcmL/w8oe310oQM7KQAAAABJRU5ErkJggg==\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(ncols=2)\n", "\n", "sns.histplot(data = df_female, x='AlcoholDrinking', hue='HeartDisease',stat='probability', multiple='stack', shrink=0.8,ax=ax[0])\n", "sns.histplot(data = df_male, x='AlcoholDrinking', hue='HeartDisease',stat='probability', multiple='stack', shrink=0.8,ax=ax[1])\n", "\n", "fig.tight_layout()" ] }, { "cell_type": "markdown", "id": "0b7bc22b", "metadata": {}, "source": [ "남자의 뇌졸중 발생 비율이 더 높음 -> 심장병에 영향 가능" ] }, { "cell_type": "code", "execution_count": 94, "id": "d2c17549", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(ncols=2)\n", "\n", "sns.histplot(data = df_female, x='Stroke', hue='HeartDisease',stat='probability', multiple='stack', shrink=0.8,ax=ax[0])\n", "sns.histplot(data = df_male, x='Stroke', hue='HeartDisease',stat='probability', multiple='stack', shrink=0.8,ax=ax[1])\n", "\n", "fig.tight_layout()" ] }, { "cell_type": "code", "execution_count": 95, "id": "2de888e8", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(ncols=2)\n", "\n", "sns.histplot(data = df_female, x='DiffWalking', hue='HeartDisease',stat='probability', multiple='stack', shrink=0.8,ax=ax[0])\n", "sns.histplot(data = df_male, x='DiffWalking', hue='HeartDisease',stat='probability', multiple='stack', shrink=0.8,ax=ax[1])\n", "\n", "fig.tight_layout()" ] }, { "cell_type": "markdown", "id": "0f653484", "metadata": {}, "source": [ "남자의 KidneyDisease 비율이 더 높음 -> 심장병에 영향 가능" ] }, { "cell_type": "code", "execution_count": 96, "id": "3bba7031", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(ncols=2)\n", "\n", "sns.histplot(data = df_female, x='KidneyDisease', hue='HeartDisease',stat='probability', multiple='stack', shrink=0.8,ax=ax[0])\n", "sns.histplot(data = df_male, x='KidneyDisease', hue='HeartDisease',stat='probability', multiple='stack', shrink=0.8,ax=ax[1])\n", "\n", "fig.tight_layout()" ] }, { "cell_type": "markdown", "id": "46df7fa8", "metadata": {}, "source": [ "남자의 피부암 비율이 더 높음 -> 심장병에 영향 가능" ] }, { "cell_type": "code", "execution_count": 97, "id": "1de1f8f8", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(ncols=2)\n", "\n", "sns.histplot(data = df_female, x='SkinCancer', hue='HeartDisease',stat='probability', multiple='stack', shrink=0.8,ax=ax[0])\n", "sns.histplot(data = df_male, x='SkinCancer', hue='HeartDisease',stat='probability', multiple='stack', shrink=0.8,ax=ax[1])\n", "\n", "fig.tight_layout()" ] }, { "cell_type": "code", "execution_count": 98, "id": "8957af04", "metadata": {}, "outputs": [], "source": [ "df.loc[df['Diabetic']=='Yes (during pregnancy)', 'Diabetic'] = 'Yes'" ] }, { "cell_type": "code", "execution_count": 99, "id": "d3edd387", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "No 251796\n", "Yes 43145\n", "No, borderline diabetes 6776\n", "Name: Diabetic, dtype: int64" ] }, "execution_count": 99, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df['Diabetic'].value_counts()" ] }, { "cell_type": "code", "execution_count": 100, "id": "115e0faf", "metadata": {}, "outputs": [], "source": [ "df_female = df[df[\"Sex\"]=='Female']\n", "df_male = df[df[\"Sex\"]=='Male']" ] }, { "cell_type": "markdown", "id": "e2b9c454", "metadata": {}, "source": [ "남자의 당뇨 비율이 더 높음 -> 심장병에 영향 가능" ] }, { "cell_type": "code", "execution_count": 102, "id": "53c40cf8", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(ncols=2)\n", "\n", "sns.histplot(data = df_female, x='Diabetic', hue='HeartDisease',stat='probability', multiple='stack', shrink=0.8,ax=ax[0])\n", "sns.histplot(data = df_male, x='Diabetic', hue='HeartDisease',stat='probability', multiple='stack', shrink=0.8,ax=ax[1])\n", "\n", "fig.tight_layout()" ] }, { "cell_type": "code", "execution_count": 103, "id": "8904a631", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(ncols=2)\n", "\n", "sns.histplot(data = df_female, x='Asthma', hue='HeartDisease',stat='probability', multiple='stack', shrink=0.8,ax=ax[0])\n", "sns.histplot(data = df_male, x='Asthma', hue='HeartDisease',stat='probability', multiple='stack', shrink=0.8,ax=ax[1])\n", "\n", "fig.tight_layout()" ] }, { "cell_type": "code", "execution_count": 104, "id": "c9acaba9", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(ncols=2)\n", "\n", "sns.histplot(data = df_female, x='PhysicalActivity', hue='HeartDisease',stat='probability', multiple='stack', shrink=0.8,ax=ax[0])\n", "sns.histplot(data = df_male, x='PhysicalActivity', hue='HeartDisease',stat='probability', multiple='stack', shrink=0.8,ax=ax[1])\n", "\n", "fig.tight_layout()" ] }, { "cell_type": "code", "execution_count": 105, "id": "c81caa1c", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(ncols=2)\n", "\n", "sns.histplot(data = df_female, x='GenHealth', hue='HeartDisease',stat='probability', multiple='stack', shrink=0.8,ax=ax[0])\n", "sns.histplot(data = df_male, x='GenHealth', hue='HeartDisease',stat='probability', multiple='stack', shrink=0.8,ax=ax[1])\n", "\n", "fig.tight_layout()" ] }, { "cell_type": "code", "execution_count": 106, "id": "241b8836", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 106, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(13,5))\n", "sns.kdeplot(df[df[\"Sex\"]=='Female'][\"PhysicalHealth\"], shade=True, label = 'Female')\n", "sns.kdeplot(df[df[\"Sex\"]=='Male'][\"PhysicalHealth\"], shade=True, label = 'Male')\n", "plt.legend()" ] }, { "cell_type": "code", "execution_count": 107, "id": "85601df3", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 107, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(13,5))\n", "sns.kdeplot(df[df[\"Sex\"]=='Female'][\"MentalHealth\"], shade=True, label = 'Female')\n", "sns.kdeplot(df[df[\"Sex\"]=='Male'][\"MentalHealth\"], shade=True, label = 'Male')\n", "plt.legend()" ] }, { "cell_type": "markdown", "id": "eb848104", "metadata": {}, "source": [ "## AgeCategory 정보" ] }, { "cell_type": "code", "execution_count": 108, "id": "c967a81a", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 108, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "plt.xticks(rotation=45)\n", "sns.histplot(sorted(df[\"AgeCategory\"]))" ] }, { "cell_type": "code", "execution_count": 109, "id": "234838c5", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 109, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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b3mzN1dQ7Wr4AjAK+u4oy/waMBjqvrjJJ2wE3AXXASuAU4HXgVqAf8CxwZkTUSdoD+DEg4IcRcW+uYzSwH/Ae8JWIeEtSX+B/gB7AwxFxcRPfp1WJ7w3f8RR9C2//cOg4mppglKdqeRs4PCLmSzoYuAh4EpgeEVdKuhY4BBgHXAUMBxYAkyWNBwYCgyJisKThwIXABcBIYExE3CVprKQdIuKZKsZttsYq+hbe/uHQcRQxBrMxsKgxBSPirYiYn5+uILVihpASCvnvEElrA50jYm5ELASeB7aqUHZwfjwYGJ8fjy+Zb2ZmrWS1LRhJXymbtUuFeZC6xAYAJwAzmhKEpHVJ3WqnANcA8/OieUDvPM0veUn9/A2A/wOIiCWSuufl60bEkpKyn6iwzlHAJU2J08yK53G7jqMxXWS3ApEfB3BUnsrVd50tBr7T2AAkdQHuAC6PiL9Lmgf0JI3F9ALezVPPkpfVz68vS27l1LecFktaOyKWlpT9kIgYRRpPKo0lystZ21X0WMBrr79RWN3WMI/bdRyNSTAn578C/hu4G7inQrmVwDvAoyXdXqskScDNwISIuDvPngwcBswCDgUeiIilklZK6kcag9kGmE1qNf0AuCGXnZrrmJKf/y7//WZj4rH2peixgN9fcERhdZutCVabYCLi5/WPJZ0I3B0R/1Ol9R8EHAtsJul40gD/RcCtkqaQjiKbkMueD9xFGjcaFRErgJmSnpI0FVhI6p4DuBz4haTzSEeRzaxSvGbWjrn7rXU16SiyiNi3miuPiPuBdSssOq5C2enAXhXmXwxcXDbvLeDgKoVpZh2Eu99al8/kNzOzQjQ5wUgaKuk+SW9KWp7HRsqnFUUEa2Zm7UdTLxVzGGmQvzPwEmkg3snEzMw+oqln8o8ClgOHRcTE6odjZmYdRVO7yHYAfu3kYmZmq9PUBLOQCictmpmZlWtqgnkI2LOIQMzMrGNpaoIZCWwp6dv5LHwzM7OKmjrIfwkwk3Stsa9KepIPX4SyXkTEKS0LzczM2rOmJpiTSh5vnqdKgnRlZDOzNYJvxPZRTU0wWxQShZlZO+cbsX1UU69F9mJRgZiZWcfia5GZmVkhmnqpmAGNLRsRLzU9HDMz6yiaOgYzh3/d3XJVohl1m5lZB9LUJPA/VE4wvYBdgM2ASYDHaszM1nBNHeQ/qaFlkjoB/wl8DTixZWGZmVl7V7VB/oioi4jvkLrRLq1WvWZm1j4VcRTZNOCzBdRrZmbtSBED8b2B7gXUa2a2xirySgFFXSWgqglG0gHA8cAz1azXzGxNV+SVAoq6SkBTz4N5eBX1fByoP09mdEuCMjOz9q+pLZhhDcwPYB7wAHBFRDSUiMzMbA3R1MOUfWkZMzNrFCcMMzMrRIsSjKT1JX1c0vrNfP1akqZJmi9peJ53kqR/SJqUp3Xy/D1y2UclHVlSx2hJUyVNkNQ3z+ubn0+V5PEgM7MaaHKCkdRZ0n9Imk0ad5kDzJM0O89vSrfbcuAY4Oqy+ddFxLA8LcnzrgKGAwcCoyR1kbQDMCgiBgM3AxfmsiOBMXn+oFzOzMxaUZMSjKRuwB+A75PuZvky8Jf8d/M8/8FcbrXy2f+vVVh0qqQpks7P610b6BwRcyNiIfA8sBUwBBiXXzMOGJwfDwbG58fjS+abmVkraWoL5jzSkWTjgO0iYvOI2DMiNge2BcaSvvTPa0FMdwOfBPYDhkjaj3Ty5vySMvPyvA3q5+eWTv0JnuuWtHzqy36IpFGSonRqQcxmZlamqQlmBOkkys9FxPOlCyLiH8DngZnAl5obUETMj4iVEbEc+B2wK/Au0LOkWK88b179/NzKWZSXL87PS8uWr2dURKh0am7MZmb2UU1NMFsBEyKirtLCPH8CsGVzA5JUmkiGArMjYimwUlI/Sd2BbYDZwGTg0Fz2UGBqfjylbP6U5sZjZmbN09QTLZcB662mTHfS4H2jSLoLGAQslLQnsEjSQcBK4HFSlxnA+cBdpKQ4KiJWADMlPSVpKrAQOCGXvRz4haTzgIcjYmZj4zEzs+poaoJ5GhguaVREvFW+UFIf0pFeTzW2wog4psLsiyuUmw7sVWH+xeXlc2wHNzYGMzOrvqZ2kV0L9AX+IukUSZ+QtI6kLSSdDEzPy6+tdqBmZta+NPVSMXdK2gX4D+DGCkUEXB4Rd1YhNjMza8eafLn+iLhI0r3AKaSxk57AP4EngP+OiEerG6KZmbVHzbofTET8GfhzlWMxM7MOZLVjMPl6YX+R9JCkrqso1y2X+fOqypmZ2ZqhMYP8XyKd7HhlPvmxoohYBvwI+DQtONHSzMw6hsYkmM8D/xcR41dXMCLuJ10n7NiWBmZmZu1bYxLMIGBSE+qcDOzSnGDMzKzjaEyC6QO80YQ63wA2bF44ZmbWUTQmwSxh9ZeHKbUesLR54ZiZWUfRmATzMrB7E+rcDXipeeGYmVlH0ZgEMwn4jKTdVldQ0q6k64U90sK4zMysnWtMgrkWCOA3krZrqJCkgcBvSFdB/q/qhGdmZu3Vas/kj4hZkkYDo4AnJP0WeBh4hZR4NgX2B44B1gIujohZhUVsZmbtQqMuFRMRoyWtAC4h3dXyi2VFRLoHzLci4ofVDdHMzNqjRl+LLCJ+IOlXwFeBvYF+pMQyl3QnyVsi4sVCojQzs3anqZfrf5HUijEzM1ulpt5wzMzMrFGcYMzMrBBOMGZmVggnGDMzK4QTjJmZFcIJxszMCuEEY2ZmhXCCMTOzQtQ0wUhaS9I0SfMlDc/z1pV0p6Qpkm6Q1CnP3yOXfVTSkSV1jJY0VdIESX3zvL75+dR8HTUzM2tltW7BLCddJPPqknlfBaZHxJC8/JA8/ypgOHAgMEpSF0k7AIMiYjBwM3BhLjsSGJPnD8rlzMysFdU0wUREXUS8VjZ7CDAuPx4HDJG0NtA5IuZGxELgeWCrCmUH58eDgfH58fiS+WZm1kpq3YKpZANgfn48D+idp/klZernf1A2IpYA3fPydfPz0rIfImmUpCidqvs2zMzWbG0xwcwDeubHvYB389SzpEz9/A/K5lbOorx8cX5eWvZDImJURKh0qu7bMDNbs7XFBDMZOCw/PhSYEhFLgZWS+knqDmwDzM5lDy0pOzU/nlI2f0prBG5mZv/SpMv1F0HSXcAgYKGkPYH/BG6VNAV4FpiQi54P3EVKiqMiYgUwU9JTkqYCC4ETctnLgV9IOg94OCJmtt47MjMzaAMJJiKOqTD7uArlpgN7VZh/MXBx2by3gIOrFaOZmTVdW+wiMzOzDsAJxszMCuEEY2ZmhXCCMTOzQjjBmJlZIZxgzMysEE4wZmZWCCcYMzMrhBOMmZkVwgnGzMwK4QRjZmaFcIIxM7NCOMGYmVkhnGDMzKwQTjBmZlYIJxgzMyuEE4yZmRXCCcbMzArhBGNmZoVwgjEzs0I4wZiZWSGcYMzMrBBOMGZmVggnGDMzK0SbTTCSFkmalKejJa0r6U5JUyTdIKlTLreHpGmSHpV0ZMnrR0uaKmmCpL61eydmZmumLrUOYBVeiIhh9U8knQ1Mj4grJV0LHAKMA64ChgMLgMmSxgMDgUERMVjScOBC4ILWfgPVsnLFcu654LDC6q9bGYXVbWZrrracYD4u6Y/Aq8A5wBDgkrxsHDBU0kNA54iYCyDpeWCrXHZcSdnzWzPwauvapTNLrtmrsPrXOWdaYXWb2ZqrzXaRAZ+IiKHA3cCVwAbA/LxsHtA7T/NLXlM//4OyEbEE6F5euaRRkqJ0KuRdmJmtodpsgomId/LD3wA7k5JHzzyvF/BunnqWvKx+/gdlJa0NLKpQ/6iIUOlUwNswM1tjtckuMkndgaURsZLU3TUHmAwcBswCDgUeiIilklZK6kcag9kGmA10Bn4A3JDLTm31N2HtXpFjXx73sjVBm0wwpEH6myQtBFYAZ5DGYm6VNAV4FpiQy54P3EVqjY2KiBXATElPSZoKLAROaO03YO1fkWNfHveyNUGbTDAR8RjwqQqLjqtQdjrwkW+BiLgYuLj60ZmZWWO02TEYMzNr39pkC8ZaVyxf5rEGM6s6Jxijd9dlzL1mWCF1r33WJCcvszWUE4wVqsjk5YFys7bNYzBmZlYIJxgzMyuEu8jMaqDIAyvA41PWNjjBmNVAkWNT4PEpaxvcRWZmZoVwgjEzs0I4wZiZWSGcYMzMrBBOMGZmVggnGDMzK4QPU66SeW+9Udh5DbFiWSH1mpkVyQmmSj7Rtzt/u3D7Quruf87EQuo1MyuSu8jMzKwQTjBmZlYIJxgzMyuEx2DMOiDfpdTaAicYsw7IN3qztsBdZGZmVggnGDMzK4S7yMysSXyzNGssJxgzaxLfLM0aq8MmGElnACcCy4FTImJ2jUOyKiv6l7Qv0WPWMh0ywUjqDXwV2AsYBPwQOLamQVnVFf1L2pfo6XhWrljuw7dbUYdMMMAewCMRsRL4m6Rtah2QmTVOkS3TLqxkyTVDCql77bMmFdqiXrmsuOS4TreuhdSriI6XdSWNAAZExKX5+dMRsVNZmVHAJTUIz8ysQ4kIVZrfUVsw84AdS57XlReIiFHAqFaK5yMkRUP/lDW17qLrd+ytX3fR9Tv22tXfGB31PJjpwDBJnSV9Cni+1gGZma1pOmQLJiLelfRzYAr5KLIah2RmtsbpkGMw7UF7bXq352a9Y2/9uouu37HXrv7G6KhdZO3Bd1x3q9fv2Fu/7qLrd+y1q3+13IIxM7NCuAVjZmaFcIIxM7NCOMEYAJJqOhhoZh2PE4whqVNEhKSekvrWOp7WVHRiLbL+9hx70dpr7O017oY4wdSYpE6SLpH0eUkHl8xvlR1N6VjGOkkbALcCmzXhtYXFXvR2kfSQpM9EQUe5FFl/e429Nfb19hp7wftLzb5jnGBqKP+D/xvolWedL+ksgKK+PMrllst6pEMaZ0XE3xrzuiJjz3XfUkTduf4uQB9gpKRPlqyzKoqsv73G3hr7enuNveD9pabfMU4wtdUf6AGMiojfATcD5ypdrLNQkjrlvwIWAf8Eekvaun7ZahQZ+0bAekXUnVtsK4Df5VlXSdq2mh+2ourPXZmFxV5w/f0oeF9vj7G3wv64CTX6jgEnmJpQsm5EvAo8BhwiaV3g/4C7gc9I6ltUE1ZS59wttilwMXAa8BPgLeALwCdWE/v6RcSe6/50RLwBPF3NunP9nUs+uH8ArgW+B/xU0r2Sdm9B3ZK0e8msqtWf614vIuov2lpE7OsUWH/XiJgLPEEB+3rZa6sde+cc+1M59nWqFXtO6IXsjyX1v1YSe6t9x9RzgmlluXVwK3BonvU3YAfg58CPgLHAy8DyopqwEbFS0obAXXn9RwHfBa4gNaW/mJvtlWK/D6j/9fNn4JM59itaEnuueyLwgKTupA9cfd0t2i75C/RG4CuS1sqzFwAnR8QU4H1gKDCvOdu8JPaJknpVs/6Sbf7lktnVjv1WoPRGI+9VKfb67f7lvJ7JVOl/Wh+7pG8B380/lgAWVin2TpK+D/xY0ibA/aQrtP9PS2MvqfsaSR+vZtwl9X8LGC1pY2Bcjr3VvmPqdciLXbZV+dfCb4ApEfHb/M+fRvrgbQy8A+xEuhPnzwtY/0mknfYeUrN/Yp7OITWd1wYuAHrnZnu5HwD3R8T1kvYAZgF/B0T60mtW7CVfcvcDk4CvR8Tlkv4ObAC82dy64YNxpvr7AXWSdGdEPCPpb5J+R0qUY4AlTa27LPaHga9LujzX/5eW1s+Ht/lg4LVc9+QqxF6+P24KLImIGZIebWn9Jdu9E7ASuJ20v28OvE4L/qc59juAfwDzgfGS9o2Ip1u63XPdvwJeBOYA10XE0ZKeIX1O32pu7GV1/wO4TtIxOe7pVfqf1m+XBcB4YB9Sy6gfLfwsNZUTTOs6BOgO/EnSRNKviG2A70TEg5I2I7Uk/i0i3qzmipWOEgPYWdI8UvfWEFKTeTBpTOUe4MiIeL2Bap4C/k/Sr0k7b9/8mjtIg5TNjf1LwEsRcWVOXCMAImIeMC9/8TWr7tzFsZL0q02kJHqUpNuAt4GHIuJnTYx3VbF/ISKW52WvAZMi4ictqL90m88HNsmPV1ah7vL98UVgO0kXAa8AkyPi6uZUXGG79wSOI7WaXyB9UbdkXz8GeDUivpnX1wfYDXiAlm/3o4G/R8ToXPcekr4BPBYRU3Kro7mxf6Ru0o+SqaRt/seIuKaZcUPl7bJ3REwk7Uctib3pIsJTK07Av5N+pZ+en38eeATon5+vX8A6u+S/2wI3ANeRfsHsk9d9EemX5cDV1PP/gIeAc/PzoaRf79tXK3ZSAhgHfLtsfo8W1jsUuBTYn3SjuTuBISXLVcXYL66wrFn1V9jm+wI3AltXI/YK++MxpC/pvlWqv3S7Xwz8Hti3GvsLsEHJ49HAaeX7Skv/r3n7TAfOBf4EbFGN2MvqPj//Dzat0jYv3y6nls5v6WepKZPHYFpJ7kohIq4ALoyIG/Pz35G6mrbOzxdUe90RsSL3I98AzCT1sX+W9Cv4SFL3zrER8dxq6vkp8AZwRn7+R1J3wWeaG3vpIKOkbhGxlNRl9zFJ/UrW/V5T6y6r/2XgrYh4CBgIbE/qMqg/kqc5fd0Nxd5P0sdKyzan/vy68m3+COn/N7iFsXfO9ZXvj3eRWjLbt7D+Stt9e2ArUsuX/D6arOSzNE//OuJxNjBH0mdJ3U5rNSf2CoPe44E9I+LHpK6rnfO6W7Svl9V9JfA4qQXW4m1eYbu8KOlA0sEDazX3s9QcTjCtJNJRW13z07/Wz5c0HNiVtCNUlaRbJO2bn24KPB2p2+BqoDPpS2uHiHg80lFhq6qrK0BEjAD+IumXki4gtYIebm6MERElH7z6rqV5pC//7Zpbb4n6L9L/A3pJehJ4ifTe76+PoTkV59jru5nLY9+2BTEDIGntvJ7ybT6Y1PJsSewr6+vno/vjIPL+2Nz6Sd1ilbb710gtpJbEXley3evrWAT8GPgGcGlEvN+c+vP/tP4Q/k4R8Wxe33HAnqRE0Cyl+0uFuj9TX3cL98f67/Ty7XIuebs0N/5maa2m0po2kZL37eRuJ/51a4ShwH/l5UNpRNdUC2IYTjo0dG/Sr8bJwIC87DTgemCjJsR+AHBZfnwE6cijrZsY02q3S35+GLBVM+o+HzgY+GTJ/P1JH7JPkruCWvA/rVT/vgXG/tmWbvPGxt7c/XEV/9P9qrjdfwqcDBxQMn8fUnevgBNJY2pbVHt/JCWWqcC2BWzzZtXdiNhbtF2qNXmQvwD5V8TdwB8i4jml80YWSOoJnA7cFemcgz9KOjrSeR/VXH9noC7SkUHLSTvbMcA1wG2SppA+/F+MsoG+HPs9wMQKsZ+clxERY5sRVyfgXuCB1WwXImJcM976r0jdSX3y+maTPoAnA7+NiJmkLsL6X5B1DVXUgNtJA8jl9Z8C/K6Fsd9GOrKqvO6vkLZZs7Z5I+ovjb3J+2P+n/4eeLDC//QU4Dct2e65dfsb0gD42qSxwwfz4PUZOfYAfi7pkYh4qUqxl+6Pj+YjvZr6OW1ofzylpXU3MvZmbZdqcoIpxrFAN+AxpfMAekt6HHgOOCci3pbUJSJWFJBcOkXq/uglaUVE3CPpn8BvSUnmWGALYEyk7otynyftF6uKvVl9xKRf4ABPVLvu/MFaTjpgYQWwC/BF0hFp3yivu6nJJX/RvQd8G1i2uvqbWPdapENSGxV7M+pfB1i6mvqbuz+OANahkftLM5L6ZqTzNc7J7+WBPM7Sg3Q4+/w8/rWsGV+iXyR9Tp+s9udU0vqkbf6fpPNadqF625xcz+pi7xoRy2uVXMBjMFWldILTl4G5pAG8a0mHA59H6n/eCViSP3CVzjNpsUh9uv1Jv56ukXQZ6Vj+/0fqt/94REyLiH9UiH0k6cMwgdQl8XgDsTd14LSTpLuAA0m/xq8h9ftXq+79I+KfpMHpPSNiGelKAONIl8pY2IIv/06SxgEXkg6v3aNa9ee6LyGNNb1SUOynkg4Jfnk19Tdpf8x1700aT7mPtK//jSr8T0vWsRbpcPjXJZ0l6VfAWqQDYj5LOsSf/J6aUq8kDSIl2zuAK1cRe1O3iyTtSTp5eibwqWpt85L6B5IOWb+DdOJkQ98xyxusqLU0p1/NU4P9oXeQfp1Aup7WZ0qW9ySdAzCg4Di6kZrOXyN9sRwPXJmXHQp8osJrRNr5/y0/3wzYrRqx5+1yK+lL6FzSl8O+1douwFeBOtIH6xBSF95OJe/rdprZ/5xjv6V+25DO47gX2Lml9efXjiX92oR0NYXbyH3xVYr9dv51ePNBwK8p6a9vYf2n5O0+iPSlObSK/9NOpBMNj83PtyR1jY0jHx5M+mI9oJl130k6I/+G/H8dXMV9/dfAL4Cf5X3nLtKBNNX6n95JOkHyetJJuHtWa7sXMbmLrHruJo17XC3pctIZs51IhzZCGnhbj9RCKExELJP0GOmErTckPQgcKKlXRIxv4GW9gakR8RNJtwLvkr486q+s3JLYbwJeJbUAfg78JSIeKfllO6QFdUP6ZfgscDmpC2gM8E1JD5Aue7MhzTuDvj72ucBIUpK8gDSe9c28XddpQf29gWkRcY2kW0ito/2AdyT9JdfbktjvJu2PP86t2OdJhwmfLWl6Xn9L6n+KtN0vJR2EUHokYUv39etJCWWOpCNJLe85pAuyflLS1sDupATRVLeSToz9d0lDSUf8vVal2G8FXs5170PaPz4DnCnpz7R8m98EvBARIyV9hnQe16Mly/dpQezFqHWG6ygT6Zfc06Qz4/+ddOTWeNJJffuTTqT6ZAHr7VTyuHP++23SL6gtSS2Yh4CNV1HHBqRusbtIA+J9SYfwXgkMI33Amxw7aSyntCX0ZVLrqm9+fnhz6y5bzynACaTrl+1C+nV7KHAVzTg6p4HYv0K64m2n/L8dnrdPc+sv3eankAaCf0XqOjyYdG23ZtVdYX+8kHS00i9Ih5Qf1pLYy7b7l4AHScnx8Px3Evnk22bW25/0a/8o0q/0z+X5R5FOHPxNc+sHtit5fAfwKOlySVeSju5q9v5YVvedpBMzbyf9UDukhfuL8n5Xf6TYdnl/756fH5T/D1X/jmnRPlLrADrSROqmObfk+abA9/OX3scLWF/9YbH9gE3Klo3KH8YHaMRhp8DnSIeoHlpfN+mX5JBqxE46H6UXcBn5MFvSiWXNrjt/6NYi9f9vkb9E5wDj65dXaTvXx/4jmnj4cRO3uYAbC9wfPwb8sKXbpsJ2/zRp/Os+0nXGWtRFUxobqVvyh/nL9aA8danCttmE1OLtRjo67UfAHlXa1+vrXidvpyur9P+svyJHV9JBDr/Jz4fl9X2sWvtOtab6bGgFULq45NHA8ChowE3pGmM/Ah6OiNtUdhio0m0BFjeinvVJJ6ltSfqlu3Z+fkRENLdJX2k93wN2jIijqljnHqQvuW1JybYTqYUR0fSjlla1nqrG3sA2P5f0S31RVPnDmffHz5O+tJt1ImJZfeXbXRHx+ZbGmev+4OAASfuRWmG9gBFR+ejHlqzri6TW9eejyici5rpPIO2PS6r5P81d8S+R9pfTImJOtequmlpnuI46kQ4j/AvFnUTZifTrayLpaq+ly5p73av1SN0zt5PGMnasYrz1P2bWIt17pm8V6+5D+oL+Tn7e4l+4q4m9TxXrLmybl62n6vtjK273/UhjPlX/LJES7h8p6d4qoO6qxs2/WpDPk7pBq9aqrvbkFkwBlC4HcTjwXKzm+l7NqLtzpPNcFBEhaQjpUvtfj4g/tOSw0JJ1rEP69b+0KkF/tP61ovq/FPtExNv5cf2VfKuuiNhzvYVt84L3x8K3ez7svltU+Re60uWPPgc8FRH/217qLlnHWcAjEfH3IuqvBieYdqS++0vpQoqjSM3jP5Kuf/Vz4FsRMaGGIdZcNRKsNV173e5Fxl30NinvDm+LfKJlO5KTywakwfenSEfrXE3qqvgG8G1J60rF3ga1LWuPX3IdQXvd7kXGXfQ2aevJBZxg2qM+pOPcb4p0e9WvA5+NiMn57+L2+mE3s47FCab9mQs8AxyR+3k/AQxQusDlao8WMzNrLT6Tv43K3VyDgRnA0ohYmvt0F0l6gnQPmeNIJ+ydU9SgtplZc3mQvw3KyeVXpBOqXiZd8vvnEfF6SZlepBPn5sdqbhZmZlYL7iJrmw4iJf9jSUeHLQH+Q1L9rWaJiPkRMdPJxczaKieYtmkm8LKkHqQusrtIhyTvBxXv7W1m1uY4wbQR+f4aB0s6MCJeJl025OSIqMutlOeAHaH9HhJqZmsWD/K3AblFMo505dvtJW0PfBe4Ph8pdh/QHdhaUveIWFS7aM3MGsctmLbhJODdiPg66bbG6wOLSNePqsvLTwEucXIxs/bCLZi24QnghHyTopNIXWH7AM9ExLmQrrwbEQtqF6KZWdO4BdMGRMSTpJuEHUe6p8PuEXEg8AlJm+di79UoPDOzZnELpo2IiGmS3gK+J2kL0h3regPz83IP7JtZu+ITLdsQSesCp5LO0t8EOC8iZtY2KjOz5nGCaWPyvTs2JP1vXl9deTOztsoJxszMCuFBfjMzK4QTjJmZFcIJxszMCuEEY2ZmhXCCMTOzQjjBWLsk6VuSIk/b1joeAEkHSvqVpBckLZa0RNJsSb+QdEgV6g9Jk6oQqlmrcIKxdidfffoUoP4Y+9NqGA6Sekj6PTAR+DzwLHAdcA3wGHAoMF7SFbWL0qz1+VIx1h59FtgCuBU4BDhR0kURsay1A5HUCfgN6S6kjwBfjoi5ZWXWAr4GbNPa8ZnVklsw1h7Vt1huAn4F9AGOrlRQUj9Jt0h6M3dZPSnpREnDcpfTqAqv6S3ph5L+nl/zT0kPSfpshVV8kZRcZgNHlCcXgIh4PyKuAc4rWUdPSRdIeljSK5KWSXpL0r2SPlMWz0mS6ltrQ0u6Bj8Sv6Q9JP1W0uu5zpcl3SCpfwPbZ3dJEyW9J2mBpAcl7SlpVK5/WIXX7C/pfknvSloq6X8lXSqpZ4Wyk3I93SRdLGmWpPcl3Srpa3nZxQ3Etomk5ZJmVFpubZ9bMNauSNoYOBL433yB0AWkL+7TgV+Xld0ImAZsDkzOjzcB/ovUnVWp/s2ASfk1U4D7STd7Oxy4X9IZEXFTyUtOz3+vWN29eiLi/ZKn2wHfz3GNA+YBA/J7O0TSERFxfy77JPAd4BLgRVLLrd6kkthPJiXd94F7gZeBrUnXtztC0mci4qWS8kPyduhKui33P0i3ingEeLjSe5B0Bqn7bxGp5fYmMAwYmdexd0TMr/DSu4DdgQnA3fl1vwQuA06V9P2IWFn2mq+SvqNuqBSLtQMR4clTu5mA/yCNvXyzZN5jpBuzbVVW9uZc9rKy+TuTvoQDGFW2bFKu6wtl83uRvuiXABvneV1K6tmqie+jJ9CnwvxNgbnA3yssC2BSA/VtAywjtaQ+VrZsP2Al8PuSeZ2A53Odh5SV/1qeH8Cwkvmb5fe7ABhY9pr/yuVvrLA9A3i6gfd7bV5+eNl8ke7wugjoWev9zlPzppoH4MlTY6f8pTM7f1l+rGT+/8tfUpeWzOsGLCbd7qBHhbpuKk8wOfEE8JsG1n9UXn5Wfr5RyRfx2lV8nz/JdQ4om7+qBPPjvPywBpb/HlhRvy2Awbn8wxXKdgJmVUgw38rzflDhNRvkxLMEWKtkfn2COaqBuD6Zl48tm39Qnv/ftd7vPDV/cheZtSf7AVsCD0TEqyXzbwOuAE6S9J8RsRzYFlgH+FtEVLpZ21RS11GpPfPfnpXGZoC++e92+a+a/hb+RdLewDl5vRuRkmKpjwEvlb+uAfWxD5W0e4XlGwGdSS2dx4BBef7U8oIRUSdpGh89KOFT+e9Hus8iYp6kJ0h3Yh0IPFVW5C+Vgo6ImZImk7oFPx4RL+dF9V2P11d6nbUPTjDWntR/6dxaOjMi3pE0FjiG1Mr4LakLCuCNBuqqNH/D/PfAPDVkvfz3HVK3VDdSMvjHKl7zIZKOznEuBf6QX7uI1D03DBgKrNXY+vhX7Besplx97M3ZPvWvea2B19TP71Vh2apuPfFfpMR0KnCJpE1IY1FPRkTFxGTtgxOMtQuS+gKfy09vl3R7A0VPJ31xL8jPN26gXKX5/8x/z4mIn6wupohYIenPpC/H/WlCggG+S0pOu0XE30sXSLqBlGCaoj72nhGxYJUlk5Zsn02ASjfC61dW7gOR+70a8DtSQjtF0mg8uN9h+DBlay9OJLUUHiMN3lea3gIOyLecfo40HrCTpB4V6htcYd6f898hTYjrxvz33/MdSRuUz4eptxXwbIXk0qmB2CC1bjo3sKypsT+R/35kXTmGvVbxmmEVXtML2IXUIvt7+fJVyV2aY0itwCNILZmFpEPQrT2r9SCQJ0+NmUgJI4BPr6LMd3OZ7+fnt9D0o8gmkw4i+GoD69gR2KjkeSfSocxB6urqV+E13YCvA9eWvZ8FQP+SeSIdjvyRI7jy8jeBOQ3ENZDUIvpfYJsGYhhSFvdsmnYU2eZ5HfP56BF7P83lbyqbP4ncgFnN/3cA6SCEV3I9N9R6n/PU8sl3tLQ2L5/s9wgwIyJ2WkW5zUmHtr5O+sLakDS4PAD4I+k8mH7AcaTzPz4HXBIRo0vq2JQ0iL01aaB6OukLdVNgJ2AHYM+I+HPJa3oAvyCN/ywFHiL9il9JOrR3f9IBAldExAX5NWeQBrDfJJ0jshzYG9geeJD0S37fiJhUsp7bgS8A95FaciuAyRExOS//MvDfpER1PynZdM3vfwjwVkQMLNuu95NaRfXnwexEGn96mHSVhKH19efXnAX8DHgPuJPUahxKOsjgOWDviHi3pPykXMdqD4iQdA9p7AVg14h4fHWvsTau1hnOk6fVTaSukgD+rRFlJ+ayR+fnHwN+TvoiXEI6l+VEYHgu940KdfQALiJ9iS/Mr3uBdELk6UD3Btb9WdIRbS/k1ywlJbzbgIMrlD8px7MIeJt0KPGOwCgqt2A2ynW9QUpelVpgO5IOgniR1Ep7F3iGNJ6xX4UY9iC1vN7L04OkZFF/fsouDbzPiaSTQ98ntYQuB3pVKDuJRrRgctn6w8D/Wut9zlN1JrdgbI0k6fukJHJwRDxQ63jaGkl/IiWfnrGaKxRUcZ2jSFcrODUibm6NdVqxnGCsQ5PUPz568ckdSd1ly0gnbC6tSXA1lg9K6BZll3aRdBJp/GpCRBzaSrH0IF1ZoCvw8YhY3BrrtWL5MGXr6P4maTapm2gRaWzlMNIg99fW1OSSDQCekPQHUjdXF9IJmINJ407nFx2ApMNIJ3AeQTo0+t+dXDoOt2CsQ5N0CWkwf3PS2Mp80iG9V0TJAPqaSNIGwI9Ig/SbkE7sfJ00DvP9iGjKeT3NjeFW0pjYG6QDFL4dEXVFr9dahxOMmZkVwidamplZIZxgzMysEE4wZmZWCCcYMzMrhBOMmZkVwgnGzMwK8f8Bj/x5tZm20W0AAAAASUVORK5CYII=\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.xticks(rotation=45)\n", "sns.histplot(data=df, x='AgeCategory', hue='HeartDisease', multiple='stack', shrink=1)" ] }, { "cell_type": "code", "execution_count": 111, "id": "fcb1c0d8", "metadata": {}, "outputs": [], "source": [ "df['Age_temp'] = df['AgeCategory'].map(lambda x:x.split('-'))\n", "df['Age_temp'] = df['Age_temp'].map(lambda x : x[0][:2] if len(x)==1 else (int(x[0])+int(x[1]))/2)\n", "df['Age_temp'] = df['Age_temp'].astype('int64')" ] }, { "cell_type": "code", "execution_count": 112, "id": "5f60164f", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "67 31670\n", "62 31219\n", "72 29273\n", "57 27610\n", "52 23736\n", "80 23352\n", "77 20713\n", "47 20518\n", "21 19998\n", "42 19837\n", "37 19526\n", "32 17953\n", "27 16312\n", "Name: Age_temp, dtype: int64" ] }, "execution_count": 112, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df['Age_temp'].value_counts()" ] }, { "cell_type": "code", "execution_count": 113, "id": "444adb3d", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 113, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.histplot(data=df, x='Age_temp', hue='HeartDisease', multiple='stack')" ] }, { "cell_type": "code", "execution_count": 114, "id": "e9433dd2", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\hyomi\\anaconda3\\lib\\site-packages\\seaborn\\distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", " warnings.warn(msg, FutureWarning)\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 114, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.distplot(df[\"Age_temp\"], kde=False)" ] }, { "cell_type": "markdown", "id": "0d4f7577", "metadata": {}, "source": [ "**나이 많을수록 심장병 발생률 증가**" ] }, { "cell_type": "code", "execution_count": 115, "id": "db75b448", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 115, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.distplot(df[df[\"HeartDisease\"]=='Yes'][\"Age_temp\"], kde=True)" ] }, { "cell_type": "code", "execution_count": 116, "id": "e924bc5c", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 116, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.kdeplot(df[df[\"HeartDisease\"]=='Yes'][\"Age_temp\"])" ] }, { "cell_type": "code", "execution_count": 117, "id": "e5d6b3e0", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\hyomi\\anaconda3\\lib\\site-packages\\seaborn\\distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", " warnings.warn(msg, FutureWarning)\n", "C:\\Users\\hyomi\\anaconda3\\lib\\site-packages\\seaborn\\distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", " warnings.warn(msg, FutureWarning)\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 117, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.distplot(df[df[\"HeartDisease\"]=='Yes'][\"Age_temp\"])\n", "sns.distplot(df[df[\"HeartDisease\"]=='No'][\"Age_temp\"])" ] }, { "cell_type": "code", "execution_count": 118, "id": "5b3d88dd", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\hyomi\\anaconda3\\lib\\site-packages\\seaborn\\distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", " warnings.warn(msg, FutureWarning)\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 118, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(nrows=2)\n", "sns.distplot(df[df[\"HeartDisease\"]=='No'][\"Age_temp\"], kde=False, ax=ax[0])\n", "sns.distplot(df[df[\"HeartDisease\"]=='Yes'][\"Age_temp\"],kde=False, ax=ax[1])" ] }, { "cell_type": "code", "execution_count": 119, "id": "2d6e6950", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 119, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(13,5))\n", "sns.kdeplot(df[df[\"HeartDisease\"]=='No'][\"Age_temp\"], shade=True, label = 'No HeartDisease')\n", "sns.kdeplot(df[df[\"HeartDisease\"]=='Yes'][\"Age_temp\"], shade=True, label = 'HeartDiseasee')\n", "plt.legend()" ] }, { "cell_type": "markdown", "id": "c62926c6", "metadata": {}, "source": [ "**왜 나이가 많을수록 심장병 많이? \n", "나이가 많을수록 여러 질병 많이 걸리지 않았을까?**" ] }, { "cell_type": "code", "execution_count": 120, "id": "e716304e", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 120, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize = (14,6))\n", "sns.kdeplot(df[df[\"HeartDisease\"]=='Yes'][\"Age_temp\"], shade = False, label=\"HeartDisease\", ax = ax)\n", "sns.kdeplot(df[df[\"KidneyDisease\"]=='Yes'][\"Age_temp\"], shade = False, label=\"KidneyDisease\", ax = ax) # 신부전\n", "sns.kdeplot(df[df[\"SkinCancer\"]=='Yes'][\"Age_temp\"], shade = False, label=\"SkinCancer\", ax = ax)\n", "sns.kdeplot(df[df[\"Diabetic\"]=='Yes'][\"Age_temp\"], shade = False, label=\"Diabetic\", ax = ax)\n", "plt.legend()" ] }, { "cell_type": "markdown", "id": "e3e4a822", "metadata": {}, "source": [ "## 상관관계 heatmap" ] }, { "cell_type": "code", "execution_count": 121, "id": "0d699295", "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "df = pd.read_csv('heart_2020_cleaned.csv')" ] }, { "cell_type": "code", "execution_count": 122, "id": "ce857f15", "metadata": {}, "outputs": [], "source": [ "categorical_col = ['HeartDisease', 'Smoking', 'AlcoholDrinking', 'Stroke', 'DiffWalking', 'PhysicalActivity', 'Asthma', 'KidneyDisease', 'SkinCancer']\n", "for col in categorical_col:\n", " df[col] = df[col].map({'Yes': 1, 'No': 0})\n", "df[categorical_col] = df[categorical_col].astype('int64')\n", "df['Sex'] = df['Sex'].map({'Female': 1, 'Male': 0})\n", "df['GenHealth'] = df['GenHealth'].map({'Poor': 1, 'Fair': 2, 'Good' : 3, 'Very good' : 4, 'Excellent' : 5})\n", "df[['Sex', 'GenHealth']] = df[['Sex', 'GenHealth']].astype('int64')\n", "\n", "df.loc[df['Diabetic']=='Yes (during pregnancy)', 'Diabetic'] = 'Yes'\n", "df['Age_temp'] = df['AgeCategory'].map(lambda x:x.split('-'))\n", "df['Age_temp'] = df['Age_temp'].map(lambda x : x[0][:2] if len(x)==1 else (int(x[0])+int(x[1]))/2)\n", "df['Age_temp'] = df['Age_temp'].astype('int64')\n", "#race, diabetic" ] }, { "cell_type": "code", "execution_count": 123, "id": "234f6570", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "RangeIndex: 319795 entries, 0 to 319794\n", "Data columns (total 19 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 HeartDisease 319795 non-null int64 \n", " 1 BMI 319795 non-null float64\n", " 2 Smoking 319795 non-null int64 \n", " 3 AlcoholDrinking 319795 non-null int64 \n", " 4 Stroke 319795 non-null int64 \n", " 5 PhysicalHealth 319795 non-null float64\n", " 6 MentalHealth 319795 non-null float64\n", " 7 DiffWalking 319795 non-null int64 \n", " 8 Sex 319795 non-null int64 \n", " 9 AgeCategory 319795 non-null object \n", " 10 Race 319795 non-null object \n", " 11 Diabetic 319795 non-null object \n", " 12 PhysicalActivity 319795 non-null int64 \n", " 13 GenHealth 319795 non-null int64 \n", " 14 SleepTime 319795 non-null float64\n", " 15 Asthma 319795 non-null int64 \n", " 16 KidneyDisease 319795 non-null int64 \n", " 17 SkinCancer 319795 non-null int64 \n", " 18 Age_temp 319795 non-null int64 \n", "dtypes: float64(4), int64(12), object(3)\n", "memory usage: 46.4+ MB\n" ] } ], "source": [ "df.info()" ] }, { "cell_type": "code", "execution_count": 124, "id": "db03bb67", "metadata": {}, "outputs": [], "source": [ "df_temp = df.drop('AgeCategory', axis=1, inplace=False)" ] }, { "cell_type": "code", "execution_count": 130, "id": "5adcf163", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 130, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import seaborn as sns\n", "import matplotlib.pyplot as plt\n", "plt.figure(figsize=(10, 10))\n", "sns.set(font_scale=.8)\n", "sns.heatmap(data = df_temp.corr(), square = True, linecolor = \"white\",cmap = plt.cm.PuBu, annot = True)" ] }, { "cell_type": "markdown", "id": "e3ece716", "metadata": {}, "source": [ "## AudoEda - dataprep" ] }, { "cell_type": "code", "execution_count": 131, "id": "92f94a31", "metadata": {}, "outputs": [ { "data": { "application/javascript": [ "\n", "(function(root) {\n", " function now() {\n", " return new Date();\n", " }\n", "\n", " const force = true;\n", "\n", " if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n", " root._bokeh_onload_callbacks = [];\n", " root._bokeh_is_loading = undefined;\n", " }\n", "\n", " const JS_MIME_TYPE = 'application/javascript';\n", " const HTML_MIME_TYPE = 'text/html';\n", " const EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n", " const CLASS_NAME = 'output_bokeh rendered_html';\n", "\n", " /**\n", " * Render data to the DOM node\n", " */\n", " function render(props, node) {\n", " const script = document.createElement(\"script\");\n", " node.appendChild(script);\n", " }\n", "\n", " /**\n", " * Handle when an output is cleared or removed\n", " */\n", " function handleClearOutput(event, handle) {\n", " const cell = handle.cell;\n", "\n", " const id = cell.output_area._bokeh_element_id;\n", " const server_id = cell.output_area._bokeh_server_id;\n", " // Clean up Bokeh references\n", " if (id != null && id in Bokeh.index) {\n", " Bokeh.index[id].model.document.clear();\n", " delete Bokeh.index[id];\n", " }\n", "\n", " if (server_id !== undefined) {\n", " // Clean up Bokeh references\n", " const cmd_clean = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n", " cell.notebook.kernel.execute(cmd_clean, {\n", " iopub: {\n", " output: function(msg) {\n", " const id = msg.content.text.trim();\n", " if (id in Bokeh.index) {\n", " Bokeh.index[id].model.document.clear();\n", " delete Bokeh.index[id];\n", " }\n", " }\n", " }\n", " });\n", " // Destroy server and session\n", " const cmd_destroy = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n", " cell.notebook.kernel.execute(cmd_destroy);\n", " }\n", " }\n", "\n", " /**\n", " * Handle when a new output is added\n", " */\n", " function handleAddOutput(event, handle) {\n", " const output_area = handle.output_area;\n", " const output = handle.output;\n", "\n", " // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n", " if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n", " return\n", " }\n", "\n", " const toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n", "\n", " if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n", " toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n", " // store reference to embed id on output_area\n", " output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n", " }\n", " if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n", " const bk_div = document.createElement(\"div\");\n", " bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n", " const script_attrs = bk_div.children[0].attributes;\n", " for (let i = 0; i < script_attrs.length; i++) {\n", " toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n", " toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n", " }\n", " // store reference to server id on output_area\n", " output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n", " }\n", " }\n", "\n", " function register_renderer(events, OutputArea) {\n", "\n", " function append_mime(data, metadata, element) {\n", " // create a DOM node to render to\n", " const toinsert = this.create_output_subarea(\n", " metadata,\n", " CLASS_NAME,\n", " EXEC_MIME_TYPE\n", " );\n", " this.keyboard_manager.register_events(toinsert);\n", " // Render to node\n", " const props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n", " render(props, toinsert[toinsert.length - 1]);\n", " element.append(toinsert);\n", " return toinsert\n", " }\n", "\n", " /* Handle when an output is cleared or removed */\n", " events.on('clear_output.CodeCell', handleClearOutput);\n", " events.on('delete.Cell', handleClearOutput);\n", "\n", " /* Handle when a new output is added */\n", " events.on('output_added.OutputArea', handleAddOutput);\n", "\n", " /**\n", " * Register the mime type and append_mime function with output_area\n", " */\n", " OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n", " /* Is output safe? */\n", " safe: true,\n", " /* Index of renderer in `output_area.display_order` */\n", " index: 0\n", " });\n", " }\n", "\n", " // register the mime type if in Jupyter Notebook environment and previously unregistered\n", " if (root.Jupyter !== undefined) {\n", " const events = require('base/js/events');\n", " const OutputArea = require('notebook/js/outputarea').OutputArea;\n", "\n", " if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n", " register_renderer(events, OutputArea);\n", " }\n", " }\n", "\n", " \n", " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n", " root._bokeh_timeout = Date.now() + 5000;\n", " root._bokeh_failed_load = false;\n", " }\n", "\n", " const NB_LOAD_WARNING = {'data': {'text/html':\n", " \"
\\n\"+\n", " \"

\\n\"+\n", " \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n", " \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n", " \"

\\n\"+\n", " \"
    \\n\"+\n", " \"
  • re-rerun `output_notebook()` to attempt to load from CDN again, or
    • \\n\"+\n", " \"
  • use INLINE resources instead, as so:
    • \\n\"+\n", " \"
\\n\"+\n", " \"\\n\"+\n", " \"from bokeh.resources import INLINE\\n\"+\n", " \"output_notebook(resources=INLINE)\\n\"+\n", " \"\\n\"+\n", " \"
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IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n", " * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n", " * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n", " * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n", " * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n", " * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n", " * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n", " * THE POSSIBILITY OF SUCH DAMAGE.\n", " */\n", " (function(root, factory) {\n", " const bokeh = factory();\n", " bokeh.__bokeh__ = true;\n", " if (typeof root.Bokeh === \"undefined\" || typeof root.Bokeh.__bokeh__ === \"undefined\") {\n", " root.Bokeh = bokeh;\n", " }\n", " const Bokeh = root.Bokeh;\n", " Bokeh[bokeh.version] = bokeh;\n", " })(this, function() {\n", " let define;\n", " const parent_require = typeof require === \"function\" && require\n", " 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_.DocumentReady),this.idle.emit())}clear(){this._push_all_models_freeze();try{for(;this._roots.length>0;)this.remove_root(this._roots[0])}finally{this._pop_all_models_freeze()}}interactive_start(e,t=null){null==this._interactive_plot&&(this._interactive_plot=e,this._interactive_plot.trigger_event(new _.LODStart)),this._interactive_finalize=t,this._interactive_timestamp=Date.now()}interactive_stop(){null!=this._interactive_plot&&(this._interactive_plot.trigger_event(new _.LODEnd),null!=this._interactive_finalize&&this._interactive_finalize()),this._interactive_plot=null,this._interactive_timestamp=null,this._interactive_finalize=null}interactive_duration(){return null==this._interactive_timestamp?-1:Date.now()-this._interactive_timestamp}destructively_move(e){if(e===this)throw new Error(\"Attempted to overwrite a document with itself\");e.clear();const t=(0,g.copy)(this._roots);this.clear();for(const e of t)if(null!=e.document)throw new Error(`Somehow we didn't detach ${e}`);if(0!=this._all_models.size)throw new Error(`this._all_models still had stuff in it: ${this._all_models}`);for(const s of t)e.add_root(s);e.set_title(this._title)}_push_all_models_freeze(){this._all_models_freeze_count+=1}_pop_all_models_freeze(){this._all_models_freeze_count-=1,0===this._all_models_freeze_count&&this._recompute_all_models()}_invalidate_all_models(){a.logger.debug(\"invalidating document models\"),0===this._all_models_freeze_count&&this._recompute_all_models()}_recompute_all_models(){let e=new Set;for(const t of this._roots)e=p.union(e,t.references());const t=new Set(this._all_models.values()),s=p.difference(t,e),o=p.difference(e,t),n=new Map;for(const t of e)n.set(t.id,t);for(const e of s)e.detach_document();for(const e of o)e.attach_document(this);this._all_models=n}roots(){return this._roots}add_root(e,t){if(a.logger.debug(`Adding root: ${e}`),!(0,g.includes)(this._roots,e)){this._push_all_models_freeze();try{this._roots.push(e)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new S.RootAddedEvent(this,e,t))}}remove_root(e,t){const s=this._roots.indexOf(e);if(!(s<0)){this._push_all_models_freeze();try{this._roots.splice(s,1)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new S.RootRemovedEvent(this,e,t))}}title(){return this._title}set_title(e,t){e!==this._title&&(this._title=e,this._trigger_on_change(new S.TitleChangedEvent(this,e,t)))}get_model_by_id(e){var t;return null!==(t=this._all_models.get(e))&&void 0!==t?t:null}get_model_by_name(e){const t=[];for(const s of this._all_models.values())s instanceof M.Model&&s.name==e&&t.push(s);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(`Multiple models are named '${e}'`)}}on_message(e,t){const s=this._message_callbacks.get(e);null==s?this._message_callbacks.set(e,new Set([t])):s.add(t)}remove_on_message(e,t){var s;null===(s=this._message_callbacks.get(e))||void 0===s||s.delete(t)}_trigger_on_message(e,t){const s=this._message_callbacks.get(e);if(null!=s)for(const e of s)e(t)}on_change(e,t=!1){this._callbacks.has(e)||this._callbacks.set(e,t)}remove_on_change(e){this._callbacks.delete(e)}_trigger_on_change(e){for(const[t,s]of this._callbacks)if(!s&&e instanceof S.DocumentEventBatch)for(const s of e.events)t(s);else t(e)}_notify_change(e,t,s,o,n){this._trigger_on_change(new S.ModelChangedEvent(this,e,t,s,o,null==n?void 0:n.setter_id,null==n?void 0:n.hint))}static _instantiate_object(e,t,s,o){const n=Object.assign(Object.assign({},s),{id:e,__deferred__:!0});return new(o.get(t))(n)}static _instantiate_references_json(e,t,s){var o;const n=new Map;for(const i of e){const e=i.id,r=i.type,l=null!==(o=i.attributes)&&void 0!==o?o:{};let a=t.get(e);null==a&&(a=E._instantiate_object(e,r,l,s),null!=i.subtype&&a.set_subtype(i.subtype)),n.set(a.id,a)}return n}static _resolve_refs(e,t,s,o){function n(e){var i;if((0,f.is_ref)(e)){const o=null!==(i=t.get(e.id))&&void 0!==i?i:s.get(e.id);if(null!=o)return o;throw new Error(`reference ${JSON.stringify(e)} isn't known (not in Document?)`)}if((0,u.is_NDArray_ref)(e)){const{buffer:t,dtype:s,shape:n}=(0,u.decode_NDArray)(e,o);return(0,m.ndarray)(t,{dtype:s,shape:n})}return(0,b.isArray)(e)?function(e){const t=[];for(const s of e)t.push(n(s));return t}(e):(0,b.isPlainObject)(e)?function(e){const t={};for(const[s,o]of(0,v.entries)(e))t[s]=n(o);return t}(e):e}return n(e)}static _initialize_references_json(e,t,s,o){const n=new Map;for(const{id:i,attributes:r}of e){const e=!t.has(i),l=e?s.get(i):t.get(i),a=E._resolve_refs(r,t,s,o);l.setv(a,{silent:!0}),n.set(i,{instance:l,is_new:e})}const i=[],r=new Set;function l(e){if(e instanceof c.HasProps){if(n.has(e.id)&&!r.has(e.id)){r.add(e.id);const{instance:t,is_new:s}=n.get(e.id),{attributes:o}=t;for(const e of(0,v.values)(o))l(e);s&&(t.finalize(),i.push(t))}}else if((0,b.isArray)(e))for(const t of e)l(t);else if((0,b.isPlainObject)(e))for(const t of(0,v.values)(e))l(t)}for(const e of n.values())l(e.instance);for(const e of i)e.connect_signals()}static _event_for_attribute_change(e,t,s,o,n){if(o.get_model_by_id(e.id).property(t).syncable){const i={kind:\"ModelChanged\",model:{id:e.id},attr:t,new:s};return c.HasProps._json_record_references(o,s,n,{recursive:!0}),i}return null}static _events_to_sync_objects(e,t,s,o){const n=Object.keys(e.attributes),i=Object.keys(t.attributes),r=(0,g.difference)(n,i),l=(0,g.difference)(i,n),_=(0,g.intersection)(n,i),c=[];for(const e of r)a.logger.warn(`Server sent key ${e} but we don't seem to have it in our JSON`);for(const n of l){const i=t.attributes[n];c.push(E._event_for_attribute_change(e,n,i,s,o))}for(const n of _){const i=e.attributes[n],r=t.attributes[n];null==i&&null==r||(null==i||null==r?c.push(E._event_for_attribute_change(e,n,r,s,o)):(0,w.is_equal)(i,r)||c.push(E._event_for_attribute_change(e,n,r,s,o)))}return c.filter((e=>null!=e))}static _compute_patch_since_json(e,t){const s=t.to_json(!1);function o(e){const t=new Map;for(const s of e.roots.references)t.set(s.id,s);return t}const n=o(e),i=new Map,r=[];for(const t of e.roots.root_ids)i.set(t,n.get(t)),r.push(t);const l=o(s),a=new Map,_=[];for(const e of s.roots.root_ids)a.set(e,l.get(e)),_.push(e);if(r.sort(),_.sort(),(0,g.difference)(r,_).length>0||(0,g.difference)(_,r).length>0)throw new Error(\"Not implemented: computing add/remove of document roots\");const c=new Set;let h=[];for(const e of t._all_models.keys())if(n.has(e)){const s=E._events_to_sync_objects(n.get(e),l.get(e),t,c);h=h.concat(s)}const f=new d.Serializer({include_defaults:!1});return f.to_serializable([...c]),{references:[...f.definitions],events:h}}to_json_string(e=!0){return JSON.stringify(this.to_json(e))}to_json(e=!0){const t=new d.Serializer({include_defaults:e}),s=t.to_serializable(this._roots);return{version:l.version,title:this._title,roots:{root_ids:s.map((e=>e.id)),references:[...t.definitions]}}}static from_json_string(e){const t=JSON.parse(e);return E.from_json(t)}static from_json(e){a.logger.debug(\"Creating Document from JSON\");const t=e.version,s=-1!==t.indexOf(\"+\")||-1!==t.indexOf(\"-\"),o=`Library versions: JS (${l.version}) / Python (${t})`;s||l.version.replace(/-(dev|rc)\\./,\"$1\")==t?a.logger.debug(o):(a.logger.warn(\"JS/Python version mismatch\"),a.logger.warn(o));const n=new r.ModelResolver;null!=e.defs&&(0,j.resolve_defs)(e.defs,n);const i=e.roots,_=i.root_ids,c=i.references,d=E._instantiate_references_json(c,new Map,n);E._initialize_references_json(c,new Map,d,new Map);const h=new E({resolver:n});for(const e of _){const t=d.get(e);null!=t&&h.add_root(t)}return h.set_title(e.title),h}replace_with_json(e){E.from_json(e).destructively_move(this)}create_json_patch_string(e){return JSON.stringify(this.create_json_patch(e))}create_json_patch(e){for(const t of e)if(t.document!=this)throw new Error(\"Cannot create a patch using events from a different document\");const t=new d.Serializer,s=t.to_serializable(e);for(const e of this._all_models.values())t.remove_def(e);return{events:s,references:[...t.definitions]}}apply_json_patch(e,t=new Map,s){const o=e.references,n=e.events,i=E._instantiate_references_json(o,this._all_models,this._resolver);t instanceof Map||(t=new Map(t));for(const e of n)switch(e.kind){case\"RootAdded\":case\"RootRemoved\":case\"ModelChanged\":{const t=e.model.id,s=this._all_models.get(t);if(null!=s)i.set(t,s);else if(!i.has(t))throw a.logger.warn(`Got an event for unknown model ${e.model}\"`),new Error(\"event model wasn't known\");break}}const r=new Map(this._all_models),l=new Map;for(const[e,t]of i)r.has(e)||l.set(e,t);E._initialize_references_json(o,r,l,t);for(const e of n)switch(e.kind){case\"MessageSent\":{const{msg_type:s,msg_data:o}=e;let n;if(void 0===o){if(1!=t.size)throw new Error(\"expected exactly one buffer\");{const[[,e]]=t;n=e}}else n=E._resolve_refs(o,r,l,t);this._trigger_on_message(s,n);break}case\"ModelChanged\":{const o=e.model.id,n=this._all_models.get(o);if(null==n)throw new Error(`Cannot apply patch to ${o} which is not in the document`);const i=e.attr,a=E._resolve_refs(e.new,r,l,t);n.setv({[i]:a},{setter_id:s});break}case\"ColumnDataChanged\":{const o=e.column_source.id,n=this._all_models.get(o);if(null==n)throw new Error(`Cannot stream to ${o} which is not in the document`);const i=E._resolve_refs(e.new,new Map,new Map,t);if(null!=e.cols)for(const e in n.data)e in i||(i[e]=n.data[e]);n.setv({data:i},{setter_id:s,check_eq:!1});break}case\"ColumnsStreamed\":{const t=e.column_source.id,o=this._all_models.get(t);if(null==o)throw new Error(`Cannot stream to ${t} which is not in the document`);if(!(o instanceof k.ColumnDataSource))throw new Error(\"Cannot stream to non-ColumnDataSource\");const n=e.data,i=e.rollover;o.stream(n,i,s);break}case\"ColumnsPatched\":{const t=e.column_source.id,o=this._all_models.get(t);if(null==o)throw new Error(`Cannot patch ${t} which is not in the document`);if(!(o instanceof k.ColumnDataSource))throw new Error(\"Cannot patch non-ColumnDataSource\");const n=e.patches;o.patch(n,s);break}case\"RootAdded\":{const t=e.model.id,o=i.get(t);this.add_root(o,s);break}case\"RootRemoved\":{const t=e.model.id,o=i.get(t);this.remove_root(o,s);break}case\"TitleChanged\":this.set_title(e.title,s);break;default:throw new Error(`Unknown patch event ${JSON.stringify(e)}`)}}}s.Document=E,E.__name__=\"Document\"},\n", " function _(e,o,s,r,t){r();const l=e(1),i=e(8),d=e(13),n=e(14);s.overrides={};const a=new Map;s.Models=e=>{const o=s.Models.get(e);if(null!=o)return o;throw new Error(`Model '${e}' does not exist. 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c.Signal0(this,\"destroyed\"),this.change=new c.Signal0(this,\"change\"),this.transformchange=new c.Signal0(this,\"transformchange\"),this.exprchange=new c.Signal0(this,\"exprchange\"),this.properties={},this._watchers=new WeakMap,this._pending=!1,this._changing=!1;const n=e instanceof Map?e.get.bind(e):t=>e[t];this.id=null!==(t=n(\"id\"))&&void 0!==t?t:(0,u.uniqueId)();for(const[e,{type:t,default_value:s,options:r}]of(0,l.entries)(this._props)){let i;t instanceof _.PropertyAlias?Object.defineProperty(this.properties,e,{get:()=>this.properties[t.attr],configurable:!1,enumerable:!1}):(i=t instanceof h.Kind?new _.PrimitiveProperty(this,e,t,s,n(e),r):new t(this,e,h.Any,s,n(e),r),this.properties[e]=i)}null!==(s=n(\"__deferred__\"))&&void 0!==s&&s||(this.finalize(),this.connect_signals())}get is_syncable(){return!0}set type(e){console.warn(\"prototype.type = 'ModelName' is deprecated, use static __name__ instead\"),this.constructor.__name__=e}get type(){return 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d{constructor(e,t,s){super(e),this.msg_type=t,this.msg_data=s}[i.serialize](e){const t=this.msg_data,s=e.to_serializable(t);return{kind:\"MessageSent\",msg_type:this.msg_type,msg_data:s}}}s.MessageSentEvent=l,l.__name__=\"MessageSentEvent\";class _ extends d{constructor(e,t,s,n,o,i,r){super(e),this.model=t,this.attr=s,this.old=n,this.new_=o,this.setter_id=i,this.hint=r}[i.serialize](e){if(null!=this.hint)return e.to_serializable(this.hint);const t=this.new_,s=e.to_serializable(t);return this.model!=t&&e.remove_def(this.model),{kind:\"ModelChanged\",model:this.model.ref(),attr:this.attr,new:s}}}s.ModelChangedEvent=_,_.__name__=\"ModelChangedEvent\";class c extends d{constructor(e,t,s){super(e),this.column_source=t,this.patches=s}[i.serialize](e){return{kind:\"ColumnsPatched\",column_source:this.column_source,patches:this.patches}}}s.ColumnsPatchedEvent=c,c.__name__=\"ColumnsPatchedEvent\";class h extends d{constructor(e,t,s,n){super(e),this.column_source=t,this.data=s,this.rollover=n}[i.serialize](e){return{kind:\"ColumnsStreamed\",column_source:this.column_source,data:this.data,rollover:this.rollover}}}s.ColumnsStreamedEvent=h,h.__name__=\"ColumnsStreamedEvent\";class m extends d{constructor(e,t,s){super(e),this.title=t,this.setter_id=s}[i.serialize](e){return{kind:\"TitleChanged\",title:this.title}}}s.TitleChangedEvent=m,m.__name__=\"TitleChangedEvent\";class u extends d{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}[i.serialize](e){return{kind:\"RootAdded\",model:e.to_serializable(this.model)}}}s.RootAddedEvent=u,u.__name__=\"RootAddedEvent\";class v extends d{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}[i.serialize](e){return{kind:\"RootRemoved\",model:this.model.ref()}}}s.RootRemovedEvent=v,v.__name__=\"RootRemovedEvent\"},\n", " function _(t,i,r,n,s){n();const e=t(8),o=t(13);r.pretty=Symbol(\"pretty\");class c{constructor(t){this.visited=new 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t.disconnect(e,this)}initialize(){this._has_finished=!1,this.is_root&&(this._stylesheet=r.stylesheet);for(const t of this.styles())this.stylesheet.append(t)}async lazy_initialize(){}remove(){this.disconnect_signals(),this.removed.emit()}toString(){return`${this.model.type}View(${this.model.id})`}serializable_state(){return{type:this.model.type}}get is_root(){return null==this.parent}has_finished(){return this._has_finished}get is_idle(){return this.has_finished()}connect_signals(){}disconnect_signals(){h.Signal.disconnect_receiver(this)}on_change(t,e){for(const s of(0,l.isArray)(t)?t:[t])this.connect(s.change,e)}cursor(t,e){return null}get stylesheet(){return this.is_root?this._stylesheet:this.root.stylesheet}styles(){return[_.default]}notify_finished(){this.is_root?!this._idle_notified&&this.has_finished()&&null!=this.model.document&&(this._idle_notified=!0,this.model.document.notify_idle(this.model)):this.root.notify_finished()}}s.View=d,d.__name__=\"View\"},\n", " function 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null},n.extents=f,n.size=u,n.scroll_size=function(t){return{width:Math.ceil(t.scrollWidth),height:Math.ceil(t.scrollHeight)}},n.outer_size=function(t){const{margin:{left:e,right:n,top:i,bottom:o}}=f(t),{width:s,height:l}=u(t);return{width:Math.ceil(s+e+n),height:Math.ceil(l+i+o)}},n.content_size=function(t){const{left:e,top:n}=t.getBoundingClientRect(),{padding:i}=f(t);let o=0,s=0;for(const l of t.children){const t=l.getBoundingClientRect();o=Math.max(o,Math.ceil(t.left-e-i.left+t.width)),s=Math.max(s,Math.ceil(t.top-n-i.top+t.height))}return{width:o,height:s}},n.position=function(t,e,n){const{style:i}=t;if(i.left=`${e.x}px`,i.top=`${e.y}px`,i.width=`${e.width}px`,i.height=`${e.height}px`,null==n)i.margin=\"\";else{const{top:t,right:e,bottom:o,left:s}=n;i.margin=`${t}px ${e}px ${o}px ${s}px`}},n.children=function(t){return Array.from(t.children)};class p{constructor(t){this.el=t,this.classList=t.classList}get values(){const t=[];for(let 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u=(0,n.__importStar)(e(48)),V=e(47);c(\"VisualProperties\",V.VisualProperties),c(\"VisualUniforms\",V.VisualUniforms);class h{constructor(e){this._visuals=[];for(const[t,r]of e.model._mixins){const a=(()=>{switch(r){case u.Line:return new l.Line(e,t);case u.LineScalar:return new l.LineScalar(e,t);case u.LineVector:return new l.LineVector(e,t);case u.Fill:return new i.Fill(e,t);case u.FillScalar:return new i.FillScalar(e,t);case u.FillVector:return new i.FillVector(e,t);case u.Text:return new s.Text(e,t);case u.TextScalar:return new s.TextScalar(e,t);case u.TextVector:return new s.TextVector(e,t);case u.Hatch:return new o.Hatch(e,t);case u.HatchScalar:return new o.HatchScalar(e,t);case u.HatchVector:return new o.HatchVector(e,t);default:throw new Error(\"unknown visual\")}})();a instanceof 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t&&(this.set_value(e),e.stroke()),t}values(){return{color:this.line_color.get_value(),alpha:this.line_alpha.get_value(),width:this.line_width.get_value(),join:this.line_join.get_value(),cap:this.line_cap.get_value(),dash:this.line_dash.get_value(),offset:this.line_dash_offset.get_value()}}set_value(e){const t=this.line_color.get_value(),i=this.line_alpha.get_value();e.strokeStyle=(0,o.color2css)(t,i),e.lineWidth=this.line_width.get_value(),e.lineJoin=this.line_join.get_value(),e.lineCap=this.line_cap.get_value(),e.lineDash=r(this.line_dash.get_value()),e.lineDashOffset=this.line_dash_offset.get_value()}}i.Line=u,u.__name__=\"Line\";class c extends n.VisualUniforms{get doit(){const e=this.line_color.value,t=this.line_alpha.value,i=this.line_width.value;return!(0==e||0==t||0==i)}apply(e){const{doit:t}=this;return t&&(this.set_value(e),e.stroke()),t}values(){return{color:this.line_color.value,alpha:this.line_alpha.value,width:this.line_width.value,join:this.line_join.value,cap:this.line_cap.value,dash:this.line_dash.value,offset:this.line_dash_offset.value}}set_value(e){const t=this.line_color.value,i=this.line_alpha.value;e.strokeStyle=(0,o.color2css)(t,i),e.lineWidth=this.line_width.value,e.lineJoin=this.line_join.value,e.lineCap=this.line_cap.value,e.lineDash=r(this.line_dash.value),e.lineDashOffset=this.line_dash_offset.value}}i.LineScalar=c,c.__name__=\"LineScalar\";class d extends n.VisualUniforms{get doit(){const{line_color:e}=this;if(e.is_Scalar()&&0==e.value)return!1;const{line_alpha:t}=this;if(t.is_Scalar()&&0==t.value)return!1;const{line_width:i}=this;return!i.is_Scalar()||0!=i.value}apply(e,t){const{doit:i}=this;return i&&(this.set_vectorize(e,t),e.stroke()),i}values(e){return{color:this.line_color.get(e),alpha:this.line_alpha.get(e),width:this.line_width.get(e),join:this.line_join.get(e),cap:this.line_cap.get(e),dash:this.line_dash.get(e),offset:this.line_dash_offset.get(e)}}set_vectorize(e,t){const i=this.line_color.get(t),l=this.line_alpha.get(t),s=this.line_width.get(t),a=this.line_join.get(t),n=this.line_cap.get(t),h=this.line_dash.get(t),_=this.line_dash_offset.get(t);e.strokeStyle=(0,o.color2css)(i,l),e.lineWidth=s,e.lineJoin=a,e.lineCap=n,e.lineDash=r(h),e.lineDashOffset=_}}i.LineVector=d,d.__name__=\"LineVector\",u.prototype.type=\"line\",u.prototype.attrs=Object.keys(h.Line),c.prototype.type=\"line\",c.prototype.attrs=Object.keys(h.LineScalar),d.prototype.type=\"line\",d.prototype.attrs=Object.keys(h.LineVector)},\n", " function _(t,s,o,i,r){i();class e{constructor(t,s=\"\"){this.obj=t,this.prefix=s;const o=this;this._props=[];for(const i of this.attrs){const r=t.model.properties[s+i];r.change.connect((()=>this.update())),o[i]=r,this._props.push(r)}}*[Symbol.iterator](){yield*this._props}update(){}}o.VisualProperties=e,e.__name__=\"VisualProperties\";class p{constructor(t,s=\"\"){this.obj=t,this.prefix=s;for(const o of this.attrs)Object.defineProperty(this,o,{get:()=>t[s+o]})}*[Symbol.iterator](){for(const t of this.attrs)yield this.obj.model.properties[this.prefix+t]}update(){}}o.VisualUniforms=p,p.__name__=\"VisualUniforms\"},\n", " function _(e,l,t,a,c){a();const r=e(1),o=(0,r.__importStar)(e(18)),n=e(20),i=(0,r.__importStar)(e(21)),_=e(13);t.Line={line_color:[i.Nullable(i.Color),\"black\"],line_alpha:[i.Alpha,1],line_width:[i.Number,1],line_join:[n.LineJoin,\"bevel\"],line_cap:[n.LineCap,\"butt\"],line_dash:[i.Or(n.LineDash,i.Array(i.Number)),[]],line_dash_offset:[i.Number,0]},t.Fill={fill_color:[i.Nullable(i.Color),\"gray\"],fill_alpha:[i.Alpha,1]},t.Hatch={hatch_color:[i.Nullable(i.Color),\"black\"],hatch_alpha:[i.Alpha,1],hatch_scale:[i.Number,12],hatch_pattern:[i.Nullable(i.Or(n.HatchPatternType,i.String)),null],hatch_weight:[i.Number,1],hatch_extra:[i.Dict(i.AnyRef()),{}]},t.Text={text_color:[i.Nullable(i.Color),\"#444444\"],text_alpha:[i.Alpha,1],text_font:[o.Font,\"helvetica\"],text_font_size:[i.FontSize,\"16px\"],text_font_style:[n.FontStyle,\"normal\"],text_align:[n.TextAlign,\"left\"],text_baseline:[n.TextBaseline,\"bottom\"],text_line_height:[i.Number,1.2]},t.LineScalar={line_color:[o.ColorScalar,\"black\"],line_alpha:[o.NumberScalar,1],line_width:[o.NumberScalar,1],line_join:[o.LineJoinScalar,\"bevel\"],line_cap:[o.LineCapScalar,\"butt\"],line_dash:[o.LineDashScalar,[]],line_dash_offset:[o.NumberScalar,0]},t.FillScalar={fill_color:[o.ColorScalar,\"gray\"],fill_alpha:[o.NumberScalar,1]},t.HatchScalar={hatch_color:[o.ColorScalar,\"black\"],hatch_alpha:[o.NumberScalar,1],hatch_scale:[o.NumberScalar,12],hatch_pattern:[o.NullStringScalar,null],hatch_weight:[o.NumberScalar,1],hatch_extra:[o.AnyScalar,{}]},t.TextScalar={text_color:[o.ColorScalar,\"#444444\"],text_alpha:[o.NumberScalar,1],text_font:[o.FontScalar,\"helvetica\"],text_font_size:[o.FontSizeScalar,\"16px\"],text_font_style:[o.FontStyleScalar,\"normal\"],text_align:[o.TextAlignScalar,\"left\"],text_baseline:[o.TextBaselineScalar,\"bottom\"],text_line_height:[o.NumberScalar,1.2]},t.LineVector={line_color:[o.ColorSpec,\"black\"],line_alpha:[o.NumberSpec,1],line_width:[o.NumberSpec,1],line_join:[o.LineJoinSpec,\"bevel\"],line_cap:[o.LineCapSpec,\"butt\"],line_dash:[o.LineDashSpec,[]],line_dash_offset:[o.NumberSpec,0]},t.FillVector={fill_color:[o.ColorSpec,\"gray\"],fill_alpha:[o.NumberSpec,1]},t.HatchVector={hatch_color:[o.ColorSpec,\"black\"],hatch_alpha:[o.NumberSpec,1],hatch_scale:[o.NumberSpec,12],hatch_pattern:[o.NullStringSpec,null],hatch_weight:[o.NumberSpec,1],hatch_extra:[o.AnyScalar,{}]},t.TextVector={text_color:[o.ColorSpec,\"#444444\"],text_alpha:[o.NumberSpec,1],text_font:[o.FontSpec,\"helvetica\"],text_font_size:[o.FontSizeSpec,\"16px\"],text_font_style:[o.FontStyleSpec,\"normal\"],text_align:[o.TextAlignSpec,\"left\"],text_baseline:[o.TextBaselineSpec,\"bottom\"],text_line_height:[o.NumberSpec,1.2]},t.attrs_of=function(e,l,t,a=!1){const c={};for(const r of(0,_.keys)(t)){const t=`${l}${r}`,o=e[t];c[a?t:r]=o}return c}},\n", " function _(l,t,e,i,s){i();const a=l(1),o=l(47),r=(0,a.__importStar)(l(48)),_=l(22);class c extends o.VisualProperties{get doit(){const l=this.fill_color.get_value(),t=this.fill_alpha.get_value();return!(null==l||0==t)}apply(l,t){const{doit:e}=this;return e&&(this.set_value(l),l.fill(t)),e}values(){return{color:this.fill_color.get_value(),alpha:this.fill_alpha.get_value()}}set_value(l){const t=this.fill_color.get_value(),e=this.fill_alpha.get_value();l.fillStyle=(0,_.color2css)(t,e)}}e.Fill=c,c.__name__=\"Fill\";class h extends o.VisualUniforms{get doit(){const l=this.fill_color.value,t=this.fill_alpha.value;return!(0==l||0==t)}apply(l,t){const{doit:e}=this;return e&&(this.set_value(l),l.fill(t)),e}values(){return{color:this.fill_color.value,alpha:this.fill_alpha.value}}set_value(l){const t=this.fill_color.value,e=this.fill_alpha.value;l.fillStyle=(0,_.color2css)(t,e)}}e.FillScalar=h,h.__name__=\"FillScalar\";class u extends o.VisualUniforms{get doit(){const{fill_color:l}=this;if(l.is_Scalar()&&0==l.value)return!1;const{fill_alpha:t}=this;return!t.is_Scalar()||0!=t.value}apply(l,t,e){const{doit:i}=this;return i&&(this.set_vectorize(l,t),l.fill(e)),i}values(l){return{color:this.fill_color.get(l),alpha:this.fill_alpha.get(l)}}set_vectorize(l,t){const e=this.fill_color.get(t),i=this.fill_alpha.get(t);l.fillStyle=(0,_.color2css)(e,i)}}e.FillVector=u,u.__name__=\"FillVector\",c.prototype.type=\"fill\",c.prototype.attrs=Object.keys(r.Fill),h.prototype.type=\"fill\",h.prototype.attrs=Object.keys(r.FillScalar),u.prototype.type=\"fill\",u.prototype.attrs=Object.keys(r.FillVector)},\n", " function _(t,e,l,s,_){s();const i=t(1),a=t(47),o=(0,i.__importStar)(t(48)),n=t(22);class h extends a.VisualProperties{get doit(){const t=this.text_color.get_value(),e=this.text_alpha.get_value();return!(null==t||0==e)}values(){return{color:this.text_color.get_value(),alpha:this.text_alpha.get_value(),font:this.text_font.get_value(),font_size:this.text_font_size.get_value(),font_style:this.text_font_style.get_value(),align:this.text_align.get_value(),baseline:this.text_baseline.get_value(),line_height:this.text_line_height.get_value()}}set_value(t){const e=this.text_color.get_value(),l=this.text_alpha.get_value();t.fillStyle=(0,n.color2css)(e,l),t.font=this.font_value(),t.textAlign=this.text_align.get_value(),t.textBaseline=this.text_baseline.get_value()}font_value(){return`${this.text_font_style.get_value()} ${this.text_font_size.get_value()} ${this.text_font.get_value()}`}}l.Text=h,h.__name__=\"Text\";class x extends a.VisualUniforms{get doit(){const t=this.text_color.value,e=this.text_alpha.value;return!(0==t||0==e)}values(){return{color:this.text_color.value,alpha:this.text_alpha.value,font:this.text_font.value,font_size:this.text_font_size.value,font_style:this.text_font_style.value,align:this.text_align.value,baseline:this.text_baseline.value,line_height:this.text_line_height.value}}set_value(t){const e=this.text_color.value,l=this.text_alpha.value,s=this.font_value(),_=this.text_align.value,i=this.text_baseline.value;t.fillStyle=(0,n.color2css)(e,l),t.font=s,t.textAlign=_,t.textBaseline=i}font_value(){return`${this.text_font_style.value} ${this.text_font_size.value} ${this.text_font.value}`}}l.TextScalar=x,x.__name__=\"TextScalar\";class u extends a.VisualUniforms{values(t){return{color:this.text_color.get(t),alpha:this.text_alpha.get(t),font:this.text_font.get(t),font_size:this.text_font_size.get(t),font_style:this.text_font_style.get(t),align:this.text_align.get(t),baseline:this.text_baseline.get(t),line_height:this.text_line_height.get(t)}}get doit(){const{text_color:t}=this;if(t.is_Scalar()&&0==t.value)return!1;const{text_alpha:e}=this;return!e.is_Scalar()||0!=e.value}set_vectorize(t,e){const l=this.text_color.get(e),s=this.text_alpha.get(e),_=this.font_value(e),i=this.text_align.get(e),a=this.text_baseline.get(e);t.fillStyle=(0,n.color2css)(l,s),t.font=_,t.textAlign=i,t.textBaseline=a}font_value(t){return`${this.text_font_style.get(t)} ${this.text_font_size.get(t)} ${this.text_font.get(t)}`}}l.TextVector=u,u.__name__=\"TextVector\",h.prototype.type=\"text\",h.prototype.attrs=Object.keys(o.Text),x.prototype.type=\"text\",x.prototype.attrs=Object.keys(o.TextScalar),u.prototype.type=\"text\",u.prototype.attrs=Object.keys(o.TextVector)},\n", " function _(t,e,a,r,i){r();const h=t(1),s=t(47),n=t(52),c=(0,h.__importStar)(t(18)),_=(0,h.__importStar)(t(48));class l extends s.VisualProperties{constructor(){super(...arguments),this._update_iteration=0}update(){if(this._update_iteration++,this._hatch_image=null,!this.doit)return;const t=this.hatch_color.get_value(),e=this.hatch_alpha.get_value(),a=this.hatch_scale.get_value(),r=this.hatch_pattern.get_value(),i=this.hatch_weight.get_value(),h=t=>{this._hatch_image=t},s=this.hatch_extra.get_value()[r];if(null!=s){const r=s.get_pattern(t,e,a,i);if(r instanceof Promise){const{_update_iteration:t}=this;r.then((e=>{this._update_iteration==t&&(h(e),this.obj.request_render())}))}else h(r)}else{const s=this.obj.canvas.create_layer(),c=(0,n.get_pattern)(s,r,t,e,a,i);h(c)}}get doit(){const t=this.hatch_color.get_value(),e=this.hatch_alpha.get_value(),a=this.hatch_pattern.get_value();return!(null==t||0==e||\" \"==a||\"blank\"==a||null==a)}apply(t,e){const{doit:a}=this;return a&&(this.set_value(t),t.layer.undo_transform((()=>t.fill(e)))),a}set_value(t){const e=this.pattern(t);t.fillStyle=null!=e?e:\"transparent\"}pattern(t){const e=this._hatch_image;return null==e?null:t.createPattern(e,this.repetition())}repetition(){const t=this.hatch_pattern.get_value(),e=this.hatch_extra.get_value()[t];if(null==e)return\"repeat\";switch(e.repetition){case\"repeat\":return\"repeat\";case\"repeat_x\":return\"repeat-x\";case\"repeat_y\":return\"repeat-y\";case\"no_repeat\":return\"no-repeat\"}}}a.Hatch=l,l.__name__=\"Hatch\";class o extends s.VisualUniforms{constructor(){super(...arguments),this._static_doit=!1,this._update_iteration=0}_compute_static_doit(){const t=this.hatch_color.value,e=this.hatch_alpha.value,a=this.hatch_pattern.value;return!(null==t||0==e||\" \"==a||\"blank\"==a||null==a)}update(){this._update_iteration++;const t=this.hatch_color.length;if(this._hatch_image=new c.UniformScalar(null,t),this._static_doit=this._compute_static_doit(),!this._static_doit)return;const e=this.hatch_color.value,a=this.hatch_alpha.value,r=this.hatch_scale.value,i=this.hatch_pattern.value,h=this.hatch_weight.value,s=e=>{this._hatch_image=new c.UniformScalar(e,t)},_=this.hatch_extra.value[i];if(null!=_){const t=_.get_pattern(e,a,r,h);if(t instanceof Promise){const{_update_iteration:e}=this;t.then((t=>{this._update_iteration==e&&(s(t),this.obj.request_render())}))}else s(t)}else{const t=this.obj.canvas.create_layer(),c=(0,n.get_pattern)(t,i,e,a,r,h);s(c)}}get doit(){return this._static_doit}apply(t,e){const{doit:a}=this;return a&&(this.set_value(t),t.layer.undo_transform((()=>t.fill(e)))),a}set_value(t){var e;t.fillStyle=null!==(e=this.pattern(t))&&void 0!==e?e:\"transparent\"}pattern(t){const e=this._hatch_image.value;return null==e?null:t.createPattern(e,this.repetition())}repetition(){const t=this.hatch_pattern.value,e=this.hatch_extra.value[t];if(null==e)return\"repeat\";switch(e.repetition){case\"repeat\":return\"repeat\";case\"repeat_x\":return\"repeat-x\";case\"repeat_y\":return\"repeat-y\";case\"no_repeat\":return\"no-repeat\"}}}a.HatchScalar=o,o.__name__=\"HatchScalar\";class u extends s.VisualUniforms{constructor(){super(...arguments),this._static_doit=!1,this._update_iteration=0}_compute_static_doit(){const{hatch_color:t}=this;if(t.is_Scalar()&&0==t.value)return!1;const{hatch_alpha:e}=this;if(e.is_Scalar()&&0==e.value)return!1;const{hatch_pattern:a}=this;if(a.is_Scalar()){const t=a.value;if(\" \"==t||\"blank\"==t||null==t)return!1}return!0}update(){this._update_iteration++;const t=this.hatch_color.length;if(this._hatch_image=new c.UniformScalar(null,t),this._static_doit=this._compute_static_doit(),!this._static_doit)return;const e=(t,e,a,r,i,h)=>{const s=this.hatch_extra.value[t];if(null!=s){const t=s.get_pattern(e,a,r,i);if(t instanceof Promise){const{_update_iteration:e}=this;t.then((t=>{this._update_iteration==e&&(h(t),this.obj.request_render())}))}else h(t)}else{const s=this.obj.canvas.create_layer(),c=(0,n.get_pattern)(s,t,e,a,r,i);h(c)}};if(this.hatch_color.is_Scalar()&&this.hatch_alpha.is_Scalar()&&this.hatch_scale.is_Scalar()&&this.hatch_pattern.is_Scalar()&&this.hatch_weight.is_Scalar()){const a=this.hatch_color.value,r=this.hatch_alpha.value,i=this.hatch_scale.value;e(this.hatch_pattern.value,a,r,i,this.hatch_weight.value,(e=>{this._hatch_image=new c.UniformScalar(e,t)}))}else{const a=new Array(t);a.fill(null),this._hatch_image=new c.UniformVector(a);for(let r=0;r{a[r]=t}))}}}get doit(){return this._static_doit}apply(t,e,a){const{doit:r}=this;return r&&(this.set_vectorize(t,e),t.layer.undo_transform((()=>t.fill(a)))),r}set_vectorize(t,e){var a;t.fillStyle=null!==(a=this.pattern(t,e))&&void 0!==a?a:\"transparent\"}pattern(t,e){const a=this._hatch_image.get(e);return null==a?null:t.createPattern(a,this.repetition(e))}repetition(t){const e=this.hatch_pattern.get(t),a=this.hatch_extra.value[e];if(null==a)return\"repeat\";switch(a.repetition){case\"repeat\":return\"repeat\";case\"repeat_x\":return\"repeat-x\";case\"repeat_y\":return\"repeat-y\";case\"no_repeat\":return\"no-repeat\"}}}a.HatchVector=u,u.__name__=\"HatchVector\",l.prototype.type=\"hatch\",l.prototype.attrs=Object.keys(_.Hatch),o.prototype.type=\"hatch\",o.prototype.attrs=Object.keys(_.HatchScalar),u.prototype.type=\"hatch\",u.prototype.attrs=Object.keys(_.HatchVector)},\n", " function _(e,o,a,s,r){s();const i=e(22);function l(e,o,a){e.moveTo(0,a+.5),e.lineTo(o,a+.5),e.stroke()}function n(e,o,a){e.moveTo(a+.5,0),e.lineTo(a+.5,o),e.stroke()}function t(e,o){e.moveTo(0,o),e.lineTo(o,0),e.stroke(),e.moveTo(0,0),e.lineTo(o,o),e.stroke()}a.hatch_aliases={\" \":\"blank\",\".\":\"dot\",o:\"ring\",\"-\":\"horizontal_line\",\"|\":\"vertical_line\",\"+\":\"cross\",'\"':\"horizontal_dash\",\":\":\"vertical_dash\",\"@\":\"spiral\",\"/\":\"right_diagonal_line\",\"\\\\\":\"left_diagonal_line\",x:\"diagonal_cross\",\",\":\"right_diagonal_dash\",\"`\":\"left_diagonal_dash\",v:\"horizontal_wave\",\">\":\"vertical_wave\",\"*\":\"criss_cross\"},a.get_pattern=function(e,o,s,r,c,k){return e.resize(c,c),e.prepare(),function(e,o,s,r,c,k){var _;const T=c,v=T/2,h=v/2,d=(0,i.color2css)(s,r);switch(e.strokeStyle=d,e.fillStyle=d,e.lineCap=\"square\",e.lineWidth=k,null!==(_=a.hatch_aliases[o])&&void 0!==_?_:o){case\"blank\":break;case\"dot\":e.arc(v,v,v/2,0,2*Math.PI,!0),e.fill();break;case\"ring\":e.arc(v,v,v/2,0,2*Math.PI,!0),e.stroke();break;case\"horizontal_line\":l(e,T,v);break;case\"vertical_line\":n(e,T,v);break;case\"cross\":l(e,T,v),n(e,T,v);break;case\"horizontal_dash\":l(e,v,v);break;case\"vertical_dash\":n(e,v,v);break;case\"spiral\":{const o=T/30;e.moveTo(v,v);for(let a=0;a<360;a++){const s=.1*a,r=v+o*s*Math.cos(s),i=v+o*s*Math.sin(s);e.lineTo(r,i)}e.stroke();break}case\"right_diagonal_line\":e.moveTo(.5-h,T),e.lineTo(h+.5,0),e.stroke(),e.moveTo(h+.5,T),e.lineTo(3*h+.5,0),e.stroke(),e.moveTo(3*h+.5,T),e.lineTo(5*h+.5,0),e.stroke(),e.stroke();break;case\"left_diagonal_line\":e.moveTo(h+.5,T),e.lineTo(.5-h,0),e.stroke(),e.moveTo(3*h+.5,T),e.lineTo(h+.5,0),e.stroke(),e.moveTo(5*h+.5,T),e.lineTo(3*h+.5,0),e.stroke(),e.stroke();break;case\"diagonal_cross\":t(e,T);break;case\"right_diagonal_dash\":e.moveTo(h+.5,3*h+.5),e.lineTo(3*h+.5,h+.5),e.stroke();break;case\"left_diagonal_dash\":e.moveTo(h+.5,h+.5),e.lineTo(3*h+.5,3*h+.5),e.stroke();break;case\"horizontal_wave\":e.moveTo(0,h),e.lineTo(v,3*h),e.lineTo(T,h),e.stroke();break;case\"vertical_wave\":e.moveTo(h,0),e.lineTo(3*h,v),e.lineTo(h,T),e.stroke();break;case\"criss_cross\":t(e,T),l(e,T,v),n(e,T,v)}}(e.ctx,o,s,r,c,k),e.canvas}},\n", " function _(e,t,s,n,c){var a;n();const i=e(14),r=e(8),l=e(13),o=e(26),_=e(19);class h extends i.HasProps{constructor(e){super(e)}get is_syncable(){return this.syncable}[o.equals](e,t){return t.eq(this.id,e.id)&&super[o.equals](e,t)}initialize(){super.initialize(),this._js_callbacks=new Map}connect_signals(){super.connect_signals(),this._update_property_callbacks(),this.connect(this.properties.js_property_callbacks.change,(()=>this._update_property_callbacks())),this.connect(this.properties.js_event_callbacks.change,(()=>this._update_event_callbacks())),this.connect(this.properties.subscribed_events.change,(()=>this._update_event_callbacks()))}_process_event(e){var t;for(const s of null!==(t=this.js_event_callbacks[e.event_name])&&void 0!==t?t:[])s.execute(e);null!=this.document&&this.subscribed_events.some((t=>t==e.event_name))&&this.document.event_manager.send_event(e)}trigger_event(e){null!=this.document&&(e.origin=this,this.document.event_manager.trigger(e))}_update_event_callbacks(){null!=this.document?this.document.event_manager.subscribed_models.add(this):_.logger.warn(\"WARNING: Document not defined for updating event callbacks\")}_update_property_callbacks(){const e=e=>{const[t,s=null]=e.split(\":\");return null!=s?this.properties[s][t]:this[t]};for(const[t,s]of this._js_callbacks){const n=e(t);for(const e of s)this.disconnect(n,e)}this._js_callbacks.clear();for(const[t,s]of(0,l.entries)(this.js_property_callbacks)){const n=s.map((e=>()=>e.execute(this)));this._js_callbacks.set(t,n);const c=e(t);for(const e of n)this.connect(c,e)}}_doc_attached(){(0,l.isEmpty)(this.js_event_callbacks)&&0==this.subscribed_events.length||this._update_event_callbacks()}_doc_detached(){this.document.event_manager.subscribed_models.delete(this)}select(e){if((0,r.isString)(e))return[...this.references()].filter((t=>t instanceof h&&t.name===e));if(e.prototype instanceof i.HasProps)return[...this.references()].filter((t=>t instanceof e));throw new Error(\"invalid selector\")}select_one(e){const t=this.select(e);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(\"found more than one object matching given selector\")}}}s.Model=h,a=h,h.__name__=\"Model\",a.define((({Any:e,Unknown:t,Boolean:s,String:n,Array:c,Dict:a,Nullable:i})=>({tags:[c(t),[]],name:[i(n),null],js_property_callbacks:[a(c(e)),{}],js_event_callbacks:[a(c(e)),{}],subscribed_events:[c(n),[]],syncable:[s,!0]})))},\n", " function _(e,t,s,a,r){var c,n;a();const _=e(12),o=e(53),i=e(55),l=e(59),u=e(61),g=e(62),h=e(57),p=e(63),m=e(67);class x{constructor(e,t){this.x_scale=e,this.y_scale=t,this.x_source=this.x_scale.source_range,this.y_source=this.y_scale.source_range,this.ranges=[this.x_source,this.y_source],this.scales=[this.x_scale,this.y_scale]}map_to_screen(e,t){return[this.x_scale.v_compute(e),this.y_scale.v_compute(t)]}map_from_screen(e,t){return[this.x_scale.v_invert(e),this.y_scale.v_invert(t)]}}s.CoordinateTransform=x,x.__name__=\"CoordinateTransform\";class y extends o.Model{constructor(e){super(e)}get x_ranges(){return new Map([[\"default\",this.x_source]])}get y_ranges(){return new Map([[\"default\",this.y_source]])}_get_scale(e,t,s){if(e instanceof m.FactorRange!=t instanceof g.CategoricalScale)throw new Error(`Range ${e.type} is incompatible is Scale ${t.type}`);t instanceof u.LogScale&&e instanceof p.DataRange1d&&(e.scale_hint=\"log\");const a=t.clone();return a.setv({source_range:e,target_range:s}),a}get_transform(e){const{x_source:t,x_scale:s,x_target:a}=this,r=this._get_scale(t,s,a),{y_source:c,y_scale:n,y_target:_}=this,o=this._get_scale(c,n,_),i=new v({source_scale:r,source_range:r.source_range,target_scale:e.x_scale,target_range:e.x_target}),l=new v({source_scale:o,source_range:o.source_range,target_scale:e.y_scale,target_range:e.y_target});return new x(i,l)}}s.CoordinateMapping=y,c=y,y.__name__=\"CoordinateMapping\",c.define((({Ref:e})=>({x_source:[e(h.Range),()=>new p.DataRange1d],y_source:[e(h.Range),()=>new p.DataRange1d],x_scale:[e(i.Scale),()=>new l.LinearScale],y_scale:[e(i.Scale),()=>new l.LinearScale],x_target:[e(h.Range)],y_target:[e(h.Range)]})));class v extends i.Scale{constructor(e){super(e)}get s_compute(){const e=this.source_scale.s_compute,t=this.target_scale.s_compute;return s=>t(e(s))}get s_invert(){const e=this.source_scale.s_invert,t=this.target_scale.s_invert;return s=>e(t(s))}compute(e){return this.s_compute(e)}v_compute(e){const{s_compute:t}=this;return(0,_.map)(e,t)}invert(e){return this.s_invert(e)}v_invert(e){const{s_invert:t}=this;return(0,_.map)(e,t)}}s.CompositeScale=v,n=v,v.__name__=\"CompositeScale\",n.internal((({Ref:e})=>({source_scale:[e(i.Scale)],target_scale:[e(i.Scale)]})))},\n", " function _(e,t,r,n,s){var _;n();const a=e(56),c=e(57),o=e(58),i=e(24);class u extends a.Transform{constructor(e){super(e)}compute(e){return this.s_compute(e)}v_compute(e){const t=new i.ScreenArray(e.length),{s_compute:r}=this;for(let n=0;n({source_range:[e(c.Range)],target_range:[e(o.Range1d)]})))},\n", " function _(n,s,o,r,c){r();const e=n(53);class t extends e.Model{constructor(n){super(n)}}o.Transform=t,t.__name__=\"Transform\"},\n", " function _(e,t,n,i,s){var r;i();const a=e(53);class l extends a.Model{constructor(e){super(e),this.have_updated_interactively=!1}get is_reversed(){return this.start>this.end}get is_valid(){return isFinite(this.min)&&isFinite(this.max)}get span(){return Math.abs(this.end-this.start)}}n.Range=l,r=l,l.__name__=\"Range\",r.define((({Number:e,Tuple:t,Or:n,Auto:i,Nullable:s})=>({bounds:[s(n(t(s(e),s(e)),i)),null],min_interval:[s(e),null],max_interval:[s(e),null]}))),r.internal((({Array:e,AnyRef:t})=>({plots:[e(t()),[]]})))},\n", " function _(t,e,s,n,r){var a;n();const i=t(57);class _ extends i.Range{constructor(t){super(t)}_set_auto_bounds(){if(\"auto\"==this.bounds){const t=Math.min(this._reset_start,this._reset_end),e=Math.max(this._reset_start,this._reset_end);this.setv({bounds:[t,e]},{silent:!0})}}initialize(){super.initialize(),this._set_auto_bounds()}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}reset(){this._set_auto_bounds();const{_reset_start:t,_reset_end:e}=this;this.start!=t||this.end!=e?this.setv({start:t,end:e}):this.change.emit()}map(t){return new _({start:t(this.start),end:t(this.end)})}widen(t){let{start:e,end:s}=this;return this.is_reversed?(e+=t,s-=t):(e-=t,s+=t),new _({start:e,end:s})}}s.Range1d=_,a=_,_.__name__=\"Range1d\",a.define((({Number:t,Nullable:e})=>({start:[t,0],end:[t,1],reset_start:[e(t),null,{on_update(t,e){e._reset_start=null!=t?t:e.start}}],reset_end:[e(t),null,{on_update(t,e){e._reset_end=null!=t?t:e.end}}]})))},\n", " function _(t,e,n,r,s){r();const a=t(60);class _ extends a.ContinuousScale{constructor(t){super(t)}get s_compute(){const[t,e]=this._linear_compute_state();return n=>t*n+e}get s_invert(){const[t,e]=this._linear_compute_state();return n=>(n-e)/t}_linear_compute_state(){const t=this.source_range.start,e=this.source_range.end,n=this.target_range.start,r=(this.target_range.end-n)/(e-t);return[r,-r*t+n]}}n.LinearScale=_,_.__name__=\"LinearScale\"},\n", " function _(n,c,o,s,e){s();const t=n(55);class u extends t.Scale{constructor(n){super(n)}}o.ContinuousScale=u,u.__name__=\"ContinuousScale\"},\n", " function _(t,e,a,o,s){o();const r=t(60);class n extends r.ContinuousScale{constructor(t){super(t)}get s_compute(){const[t,e,a,o]=this._compute_state();return s=>{if(0==a)return 0;{const r=(Math.log(s)-o)/a;return isFinite(r)?r*t+e:NaN}}}get s_invert(){const[t,e,a,o]=this._compute_state();return s=>{const r=(s-e)/t;return Math.exp(a*r+o)}}_get_safe_factor(t,e){let a=t<0?0:t,o=e<0?0:e;if(a==o)if(0==a)[a,o]=[1,10];else{const t=Math.log(a)/Math.log(10);a=10**Math.floor(t),o=Math.ceil(t)!=Math.floor(t)?10**Math.ceil(t):10**(Math.ceil(t)+1)}return[a,o]}_compute_state(){const t=this.source_range.start,e=this.source_range.end,a=this.target_range.start,o=this.target_range.end-a,[s,r]=this._get_safe_factor(t,e);let n,c;0==s?(n=Math.log(r),c=0):(n=Math.log(r)-Math.log(s),c=Math.log(s));return[o,a,n,c]}}a.LogScale=n,n.__name__=\"LogScale\"},\n", " function _(t,e,c,a,s){a();const n=t(55),r=t(59),{_linear_compute_state:o}=r.LinearScale.prototype;class l extends n.Scale{constructor(t){super(t)}get s_compute(){const[t,e]=o.call(this),c=this.source_range;return a=>t*c.synthetic(a)+e}get s_invert(){const[t,e]=o.call(this);return c=>(c-e)/t}}c.CategoricalScale=l,l.__name__=\"CategoricalScale\"},\n", " function _(t,i,n,a,e){a();const s=t(1);var l;const _=t(64),o=t(20),r=t(9),h=t(19),d=(0,s.__importStar)(t(65)),u=t(66);class g extends _.DataRange{constructor(t){super(t),this.have_updated_interactively=!1}initialize(){super.initialize(),this._initial_start=this.start,this._initial_end=this.end,this._initial_range_padding=this.range_padding,this._initial_range_padding_units=this.range_padding_units,this._initial_follow=this.follow,this._initial_follow_interval=this.follow_interval,this._initial_default_span=this.default_span,this._plot_bounds=new Map}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}computed_renderers(){const{renderers:t,names:i}=this,n=(0,r.concat)(this.plots.map((t=>t.data_renderers)));return(0,u.compute_renderers)(0==t.length?\"auto\":t,n,i)}_compute_plot_bounds(t,i){let n=d.empty();for(const a of t){const t=i.get(a);null==t||!a.visible&&this.only_visible||(n=d.union(n,t))}return n}adjust_bounds_for_aspect(t,i){const n=d.empty();let a=t.x1-t.x0;a<=0&&(a=1);let e=t.y1-t.y0;e<=0&&(e=1);const s=.5*(t.x1+t.x0),l=.5*(t.y1+t.y0);return al&&(\"start\"==this.follow?e=a+s*l:\"end\"==this.follow&&(a=e-s*l)),[a,e]}update(t,i,n,a){if(this.have_updated_interactively)return;const e=this.computed_renderers();let s=this._compute_plot_bounds(e,t);null!=a&&(s=this.adjust_bounds_for_aspect(s,a)),this._plot_bounds.set(n,s);const[l,_]=this._compute_min_max(this._plot_bounds.values(),i);let[o,r]=this._compute_range(l,_);null!=this._initial_start&&(\"log\"==this.scale_hint?this._initial_start>0&&(o=this._initial_start):o=this._initial_start),null!=this._initial_end&&(\"log\"==this.scale_hint?this._initial_end>0&&(r=this._initial_end):r=this._initial_end);let h=!1;\"auto\"==this.bounds&&(this.setv({bounds:[o,r]},{silent:!0}),h=!0);const[d,u]=[this.start,this.end];if(o!=d||r!=u){const t={};o!=d&&(t.start=o),r!=u&&(t.end=r),this.setv(t),h=!1}h&&this.change.emit()}reset(){this.have_updated_interactively=!1,this.setv({range_padding:this._initial_range_padding,range_padding_units:this._initial_range_padding_units,follow:this._initial_follow,follow_interval:this._initial_follow_interval,default_span:this._initial_default_span},{silent:!0}),this.change.emit()}}n.DataRange1d=g,l=g,g.__name__=\"DataRange1d\",l.define((({Boolean:t,Number:i,Nullable:n})=>({start:[i],end:[i],range_padding:[i,.1],range_padding_units:[o.PaddingUnits,\"percent\"],flipped:[t,!1],follow:[n(o.StartEnd),null],follow_interval:[n(i),null],default_span:[i,2],only_visible:[t,!1]}))),l.internal((({Enum:t})=>({scale_hint:[t(\"log\",\"auto\"),\"auto\"]})))},\n", " function _(e,n,a,r,s){var t;r();const c=e(57);class _ extends c.Range{constructor(e){super(e)}}a.DataRange=_,t=_,_.__name__=\"DataRange\",t.define((({String:e,Array:n,AnyRef:a})=>({names:[n(e),[]],renderers:[n(a()),[]]})))},\n", " function _(t,i,e,h,r){h();const s=t(24),n=t(26),{min:x,max:y}=Math;e.empty=function(){return{x0:1/0,y0:1/0,x1:-1/0,y1:-1/0}},e.positive_x=function(){return{x0:Number.MIN_VALUE,y0:-1/0,x1:1/0,y1:1/0}},e.positive_y=function(){return{x0:-1/0,y0:Number.MIN_VALUE,x1:1/0,y1:1/0}},e.union=function(t,i){return{x0:x(t.x0,i.x0),x1:y(t.x1,i.x1),y0:x(t.y0,i.y0),y1:y(t.y1,i.y1)}};class o{constructor(t){if(null==t)this.x0=0,this.y0=0,this.x1=0,this.y1=0;else if(\"x0\"in t){const{x0:i,y0:e,x1:h,y1:r}=t;if(!(i<=h&&e<=r))throw new Error(`invalid bbox {x0: ${i}, y0: ${e}, x1: ${h}, y1: ${r}}`);this.x0=i,this.y0=e,this.x1=h,this.y1=r}else if(\"x\"in t){const{x:i,y:e,width:h,height:r}=t;if(!(h>=0&&r>=0))throw new Error(`invalid bbox {x: ${i}, y: ${e}, width: ${h}, height: ${r}}`);this.x0=i,this.y0=e,this.x1=i+h,this.y1=e+r}else{let i,e,h,r;if(\"width\"in t)if(\"left\"in t)i=t.left,e=i+t.width;else if(\"right\"in t)e=t.right,i=e-t.width;else{const h=t.width/2;i=t.hcenter-h,e=t.hcenter+h}else i=t.left,e=t.right;if(\"height\"in t)if(\"top\"in t)h=t.top,r=h+t.height;else if(\"bottom\"in t)r=t.bottom,h=r-t.height;else{const i=t.height/2;h=t.vcenter-i,r=t.vcenter+i}else h=t.top,r=t.bottom;if(!(i<=e&&h<=r))throw new Error(`invalid bbox {left: ${i}, top: ${h}, right: ${e}, bottom: ${r}}`);this.x0=i,this.y0=h,this.x1=e,this.y1=r}}static from_rect({left:t,right:i,top:e,bottom:h}){return new o({x0:Math.min(t,i),y0:Math.min(e,h),x1:Math.max(t,i),y1:Math.max(e,h)})}equals(t){return this.x0==t.x0&&this.y0==t.y0&&this.x1==t.x1&&this.y1==t.y1}[n.equals](t,i){return i.eq(this.x0,t.x0)&&i.eq(this.y0,t.y0)&&i.eq(this.x1,t.x1)&&i.eq(this.y1,t.y1)}toString(){return`BBox({left: ${this.left}, top: ${this.top}, width: ${this.width}, height: ${this.height}})`}get left(){return this.x0}get top(){return this.y0}get right(){return this.x1}get bottom(){return this.y1}get p0(){return[this.x0,this.y0]}get p1(){return[this.x1,this.y1]}get x(){return this.x0}get y(){return this.y0}get width(){return this.x1-this.x0}get height(){return this.y1-this.y0}get size(){return{width:this.width,height:this.height}}get rect(){const{x0:t,y0:i,x1:e,y1:h}=this;return{p0:{x:t,y:i},p1:{x:e,y:i},p2:{x:e,y:h},p3:{x:t,y:h}}}get box(){const{x:t,y:i,width:e,height:h}=this;return{x:t,y:i,width:e,height:h}}get h_range(){return{start:this.x0,end:this.x1}}get v_range(){return{start:this.y0,end:this.y1}}get ranges(){return[this.h_range,this.v_range]}get aspect(){return this.width/this.height}get hcenter(){return(this.left+this.right)/2}get vcenter(){return(this.top+this.bottom)/2}get area(){return this.width*this.height}relative(){const{width:t,height:i}=this;return new o({x:0,y:0,width:t,height:i})}translate(t,i){const{x:e,y:h,width:r,height:s}=this;return new o({x:t+e,y:i+h,width:r,height:s})}relativize(t,i){return[t-this.x,i-this.y]}contains(t,i){return this.x0<=t&&t<=this.x1&&this.y0<=i&&i<=this.y1}clip(t,i){return tthis.x1&&(t=this.x1),ithis.y1&&(i=this.y1),[t,i]}grow_by(t){return new o({left:this.left-t,right:this.right+t,top:this.top-t,bottom:this.bottom+t})}shrink_by(t){return new o({left:this.left+t,right:this.right-t,top:this.top+t,bottom:this.bottom-t})}union(t){return new o({x0:x(this.x0,t.x0),y0:x(this.y0,t.y0),x1:y(this.x1,t.x1),y1:y(this.y1,t.y1)})}intersection(t){return this.intersects(t)?new o({x0:y(this.x0,t.x0),y0:y(this.y0,t.y0),x1:x(this.x1,t.x1),y1:x(this.y1,t.y1)}):null}intersects(t){return!(t.x1this.x1||t.y1this.y1)}get xview(){return{compute:t=>this.left+t,v_compute:t=>{const i=new s.ScreenArray(t.length),e=this.left;for(let h=0;hthis.bottom-t,v_compute:t=>{const i=new s.ScreenArray(t.length),e=this.bottom;for(let h=0;h0&&(r=r.filter((n=>(0,l.includes)(t,n.name)))),r}},\n", " function _(t,n,e,i,s){var r;i();const a=t(57),o=t(20),g=t(21),p=t(24),c=t(9),l=t(8),u=t(11);function h(t,n,e=0){const i=new Map;for(let s=0;sa.get(t).value)));r.set(t,{value:l/s,mapping:a}),o+=s+n+p}return[r,(a.size-1)*n+g]}function _(t,n,e,i,s=0){var r;const a=new Map,o=new Map;for(const[n,e,i]of t){const t=null!==(r=o.get(n))&&void 0!==r?r:[];o.set(n,[...t,[e,i]])}let g=s,p=0;for(const[t,s]of o){const r=s.length,[o,l]=d(s,e,i,g);p+=l;const u=(0,c.sum)(s.map((([t])=>o.get(t).value)));a.set(t,{value:u/r,mapping:o}),g+=r+n+l}return[a,(o.size-1)*n+p]}e.Factor=(0,g.Or)(g.String,(0,g.Tuple)(g.String,g.String),(0,g.Tuple)(g.String,g.String,g.String)),e.FactorSeq=(0,g.Or)((0,g.Array)(g.String),(0,g.Array)((0,g.Tuple)(g.String,g.String)),(0,g.Array)((0,g.Tuple)(g.String,g.String,g.String))),e.map_one_level=h,e.map_two_levels=d,e.map_three_levels=_;class f extends a.Range{constructor(t){super(t)}get min(){return this.start}get max(){return this.end}initialize(){super.initialize(),this._init(!0)}connect_signals(){super.connect_signals(),this.connect(this.properties.factors.change,(()=>this.reset())),this.connect(this.properties.factor_padding.change,(()=>this.reset())),this.connect(this.properties.group_padding.change,(()=>this.reset())),this.connect(this.properties.subgroup_padding.change,(()=>this.reset())),this.connect(this.properties.range_padding.change,(()=>this.reset())),this.connect(this.properties.range_padding_units.change,(()=>this.reset()))}reset(){this._init(!1),this.change.emit()}_lookup(t){switch(t.length){case 1:{const[n]=t,e=this._mapping.get(n);return null!=e?e.value:NaN}case 2:{const[n,e]=t,i=this._mapping.get(n);if(null!=i){const t=i.mapping.get(e);if(null!=t)return t.value}return NaN}case 3:{const[n,e,i]=t,s=this._mapping.get(n);if(null!=s){const t=s.mapping.get(e);if(null!=t){const n=t.mapping.get(i);if(null!=n)return n.value}}return NaN}default:(0,u.unreachable)()}}synthetic(t){if((0,l.isNumber)(t))return t;if((0,l.isString)(t))return this._lookup([t]);let n=0;const e=t[t.length-1];return(0,l.isNumber)(e)&&(n=e,t=t.slice(0,-1)),this._lookup(t)+n}v_synthetic(t){const n=t.length,e=new p.ScreenArray(n);for(let i=0;i{if((0,c.every)(this.factors,l.isString)){const t=this.factors,[n,e]=h(t,this.factor_padding);return{levels:1,mapping:n,tops:null,mids:null,inside_padding:e}}if((0,c.every)(this.factors,(t=>(0,l.isArray)(t)&&2==t.length&&(0,l.isString)(t[0])&&(0,l.isString)(t[1])))){const t=this.factors,[n,e]=d(t,this.group_padding,this.factor_padding),i=[...n.keys()];return{levels:2,mapping:n,tops:i,mids:null,inside_padding:e}}if((0,c.every)(this.factors,(t=>(0,l.isArray)(t)&&3==t.length&&(0,l.isString)(t[0])&&(0,l.isString)(t[1])&&(0,l.isString)(t[2])))){const t=this.factors,[n,e]=_(t,this.group_padding,this.subgroup_padding,this.factor_padding),i=[...n.keys()],s=[];for(const[t,e]of n)for(const n of e.mapping.keys())s.push([t,n]);return{levels:3,mapping:n,tops:i,mids:s,inside_padding:e}}(0,u.unreachable)()})();this._mapping=e,this.tops=i,this.mids=s;let a=0,o=this.factors.length+r;if(\"percent\"==this.range_padding_units){const t=(o-a)*this.range_padding/2;a-=t,o+=t}else a-=this.range_padding,o+=this.range_padding;this.setv({start:a,end:o,levels:n},{silent:t}),\"auto\"==this.bounds&&this.setv({bounds:[a,o]},{silent:!0})}}e.FactorRange=f,r=f,f.__name__=\"FactorRange\",r.define((({Number:t})=>({factors:[e.FactorSeq,[]],factor_padding:[t,0],subgroup_padding:[t,.8],group_padding:[t,1.4],range_padding:[t,0],range_padding_units:[o.PaddingUnits,\"percent\"],start:[t],end:[t]}))),r.internal((({Number:t,String:n,Array:e,Tuple:i,Nullable:s})=>({levels:[t],mids:[s(e(i(n,n))),null],tops:[s(e(n)),null]})))},\n", " function _(t,e,s,a,i){a();const n=t(1);var _;const r=t(69),o=t(112),l=t(48),d=t(20),h=t(24),c=t(113),u=(0,n.__importStar)(t(18)),v=t(10);class p extends r.DataAnnotationView{async lazy_initialize(){await super.lazy_initialize();const{start:t,end:e}=this.model;null!=t&&(this.start=await(0,c.build_view)(t,{parent:this})),null!=e&&(this.end=await(0,c.build_view)(e,{parent:this}))}set_data(t){var e,s;super.set_data(t),null===(e=this.start)||void 0===e||e.set_data(t),null===(s=this.end)||void 0===s||s.set_data(t)}remove(){var t,e;null===(t=this.start)||void 0===t||t.remove(),null===(e=this.end)||void 0===e||e.remove(),super.remove()}map_data(){const{frame:t}=this.plot_view;\"data\"==this.model.start_units?(this._sx_start=this.coordinates.x_scale.v_compute(this._x_start),this._sy_start=this.coordinates.y_scale.v_compute(this._y_start)):(this._sx_start=t.bbox.xview.v_compute(this._x_start),this._sy_start=t.bbox.yview.v_compute(this._y_start)),\"data\"==this.model.end_units?(this._sx_end=this.coordinates.x_scale.v_compute(this._x_end),this._sy_end=this.coordinates.y_scale.v_compute(this._y_end)):(this._sx_end=t.bbox.xview.v_compute(this._x_end),this._sy_end=t.bbox.yview.v_compute(this._y_end));const{_sx_start:e,_sy_start:s,_sx_end:a,_sy_end:i}=this,n=e.length,_=this._angles=new h.ScreenArray(n);for(let t=0;t({x_start:[u.XCoordinateSpec,{field:\"x_start\"}],y_start:[u.YCoordinateSpec,{field:\"y_start\"}],start_units:[d.SpatialUnits,\"data\"],start:[e(t(o.ArrowHead)),null],x_end:[u.XCoordinateSpec,{field:\"x_end\"}],y_end:[u.YCoordinateSpec,{field:\"y_end\"}],end_units:[d.SpatialUnits,\"data\"],end:[e(t(o.ArrowHead)),()=>new o.OpenHead]})))},\n", " function _(t,e,n,s,a){s();const o=t(1);var i;const c=t(40),r=t(70),_=t(75),l=t(78),h=(0,o.__importStar)(t(18));class d extends c.AnnotationView{constructor(){super(...arguments),this._initial_set_data=!1}connect_signals(){super.connect_signals();const t=()=>{this.set_data(this.model.source),this._rerender()};this.connect(this.model.change,t),this.connect(this.model.source.streaming,t),this.connect(this.model.source.patching,t),this.connect(this.model.source.change,t)}_rerender(){this.request_render()}set_data(t){const e=this;for(const n of this.model)if(n instanceof h.VectorSpec||n instanceof h.ScalarSpec)if(n instanceof h.BaseCoordinateSpec){const s=n.array(t);e[`_${n.attr}`]=s}else{const s=n.uniform(t);e[`${n.attr}`]=s}this.plot_model.use_map&&(null!=e._x&&l.inplace.project_xy(e._x,e._y),null!=e._xs&&l.inplace.project_xsys(e._xs,e._ys));for(const t of this.visuals)t.update()}_render(){this._initial_set_data||(this.set_data(this.model.source),this._initial_set_data=!0),this.map_data(),this.paint(this.layer.ctx)}}n.DataAnnotationView=d,d.__name__=\"DataAnnotationView\";class u extends c.Annotation{constructor(t){super(t)}}n.DataAnnotation=u,i=u,u.__name__=\"DataAnnotation\",i.define((({Ref:t})=>({source:[t(r.ColumnarDataSource),()=>new _.ColumnDataSource]})))},\n", " function _(t,e,n,s,a){var i;s();const r=t(71),l=t(15),c=t(19),o=t(73),h=t(8),u=t(9),g=t(13),d=t(72),_=t(74),m=t(29);class w extends r.DataSource{constructor(t){super(t),this.selection_manager=new o.SelectionManager(this)}get_array(t){let e=this.data[t];return null==e?this.data[t]=e=[]:(0,h.isArray)(e)||(this.data[t]=e=Array.from(e)),e}initialize(){super.initialize(),this._select=new l.Signal0(this,\"select\"),this.inspect=new l.Signal(this,\"inspect\"),this.streaming=new l.Signal0(this,\"streaming\"),this.patching=new l.Signal(this,\"patching\")}get_column(t){const e=this.data[t];return null!=e?e:null}columns(){return(0,g.keys)(this.data)}get_length(t=!0){const e=(0,u.uniq)((0,g.values)(this.data).map((t=>(0,m.is_NDArray)(t)?t.shape[0]:t.length)));switch(e.length){case 0:return null;case 1:return e[0];default:{const n=\"data source has columns of inconsistent lengths\";if(t)return c.logger.warn(n),e.sort()[0];throw new Error(n)}}}get length(){var t;return null!==(t=this.get_length())&&void 0!==t?t:0}clear(){const t={};for(const e of this.columns())t[e]=new this.data[e].constructor(0);this.data=t}}n.ColumnarDataSource=w,i=w,w.__name__=\"ColumnarDataSource\",i.define((({Ref:t})=>({selection_policy:[t(_.SelectionPolicy),()=>new _.UnionRenderers]}))),i.internal((({AnyRef:t})=>({inspected:[t(),()=>new d.Selection]})))},\n", " function _(e,c,n,t,o){var a;t();const s=e(53),r=e(72);class l extends s.Model{constructor(e){super(e)}}n.DataSource=l,a=l,l.__name__=\"DataSource\",a.define((({Ref:e})=>({selected:[e(r.Selection),()=>new r.Selection]})))},\n", " function _(i,e,s,t,n){var l;t();const c=i(53),d=i(9),h=i(13);class _ extends c.Model{constructor(i){super(i)}get_view(){return this.view}get selected_glyph(){return this.selected_glyphs.length>0?this.selected_glyphs[0]:null}add_to_selected_glyphs(i){this.selected_glyphs.push(i)}update(i,e=!0,s=\"replace\"){switch(s){case\"replace\":this.indices=i.indices,this.line_indices=i.line_indices,this.multiline_indices=i.multiline_indices,this.image_indices=i.image_indices,this.view=i.view,this.selected_glyphs=i.selected_glyphs;break;case\"append\":this.update_through_union(i);break;case\"intersect\":this.update_through_intersection(i);break;case\"subtract\":this.update_through_subtraction(i)}}clear(){this.indices=[],this.line_indices=[],this.multiline_indices={},this.image_indices=[],this.view=null,this.selected_glyphs=[]}map(i){return new _(Object.assign(Object.assign({},this.attributes),{indices:this.indices.map(i),multiline_indices:(0,h.to_object)((0,h.entries)(this.multiline_indices).map((([e,s])=>[i(Number(e)),s]))),image_indices:this.image_indices.map((e=>Object.assign(Object.assign({},e),{index:i(e.index)})))}))}is_empty(){return 0==this.indices.length&&0==this.line_indices.length&&0==this.image_indices.length}update_through_union(i){this.indices=(0,d.union)(this.indices,i.indices),this.selected_glyphs=(0,d.union)(i.selected_glyphs,this.selected_glyphs),this.line_indices=(0,d.union)(i.line_indices,this.line_indices),this.view=i.view,this.multiline_indices=(0,h.merge)(i.multiline_indices,this.multiline_indices)}update_through_intersection(i){this.indices=(0,d.intersection)(this.indices,i.indices),this.selected_glyphs=(0,d.union)(i.selected_glyphs,this.selected_glyphs),this.line_indices=(0,d.union)(i.line_indices,this.line_indices),this.view=i.view,this.multiline_indices=(0,h.merge)(i.multiline_indices,this.multiline_indices)}update_through_subtraction(i){this.indices=(0,d.difference)(this.indices,i.indices),this.selected_glyphs=(0,d.union)(i.selected_glyphs,this.selected_glyphs),this.line_indices=(0,d.union)(i.line_indices,this.line_indices),this.view=i.view,this.multiline_indices=(0,h.merge)(i.multiline_indices,this.multiline_indices)}}s.Selection=_,l=_,_.__name__=\"Selection\",l.define((({Int:i,Array:e,Dict:s})=>({indices:[e(i),[]],line_indices:[e(i),[]],multiline_indices:[s(e(i)),{}]}))),l.internal((({Int:i,Array:e,AnyRef:s,Struct:t,Nullable:n})=>({selected_glyphs:[e(s()),[]],view:[n(s()),null],image_indices:[e(t({index:i,dim1:i,dim2:i,flat_index:i})),[]]})))},\n", " function _(e,t,o,s,c){s();const n=e(72);function i(e){return\"GlyphRenderer\"==e.model.type}function l(e){return\"GraphRenderer\"==e.model.type}class r{constructor(e){this.source=e,this.inspectors=new Map}select(e,t,o,s=\"replace\"){const c=[],n=[];for(const t of e)i(t)?c.push(t):l(t)&&n.push(t);let r=!1;for(const e of n){const c=e.model.selection_policy.hit_test(t,e);r=r||e.model.selection_policy.do_selection(c,e.model,o,s)}if(c.length>0){const e=this.source.selection_policy.hit_test(t,c);r=r||this.source.selection_policy.do_selection(e,this.source,o,s)}return r}inspect(e,t){let o=!1;if(i(e)){const s=e.hit_test(t);if(null!=s){o=!s.is_empty();const c=this.get_or_create_inspector(e.model);c.update(s,!0,\"replace\"),this.source.setv({inspected:c},{silent:!0}),this.source.inspect.emit([e.model,{geometry:t}])}}else if(l(e)){const s=e.model.inspection_policy.hit_test(t,e);o=o||e.model.inspection_policy.do_inspection(s,t,e,!1,\"replace\")}return o}clear(e){this.source.selected.clear(),null!=e&&this.get_or_create_inspector(e.model).clear()}get_or_create_inspector(e){let t=this.inspectors.get(e);return null==t&&(t=new n.Selection,this.inspectors.set(e,t)),t}}o.SelectionManager=r,r.__name__=\"SelectionManager\"},\n", " function _(e,t,n,s,o){s();const r=e(53);class c extends r.Model{do_selection(e,t,n,s){return null!=e&&(t.selected.update(e,n,s),t._select.emit(),!t.selected.is_empty())}}n.SelectionPolicy=c,c.__name__=\"SelectionPolicy\";class l extends c{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!=t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_intersection(t);return e}return null}}n.IntersectRenderers=l,l.__name__=\"IntersectRenderers\";class _ extends c{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!=t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_union(t);return e}return null}}n.UnionRenderers=_,_.__name__=\"UnionRenderers\"},\n", " function _(t,n,e,s,o){s();const r=t(1);var l;const c=t(70),i=t(8),a=t(13),u=(0,r.__importStar)(t(76)),h=t(77),d=t(35);function f(t,n,e){if((0,i.isArray)(t)){const s=t.concat(n);return null!=e&&s.length>e?s.slice(-e):s}if((0,i.isTypedArray)(t)){const s=t.length+n.length;if(null!=e&&s>e){const o=s-e,r=t.length;let l;t.length({data:[t(n),{}]})))},\n", " function _(t,n,o,e,c){e(),o.concat=function(t,...n){let o=t.length;for(const t of n)o+=t.length;const e=new t.constructor(o);e.set(t,0);let c=t.length;for(const t of n)e.set(t,c),c+=t.length;return e}},\n", " function _(n,o,t,e,f){function c(...n){const o=new Set;for(const t of n)for(const n of t)o.add(n);return o}e(),t.union=c,t.intersection=function(n,...o){const t=new Set;n:for(const e of n){for(const n of o)if(!n.has(e))continue n;t.add(e)}return t},t.difference=function(n,...o){const t=new Set(n);for(const n of c(...o))t.delete(n);return t}},\n", " function _(n,t,e,o,r){o();const c=n(1),l=(0,c.__importDefault)(n(79)),i=(0,c.__importDefault)(n(80)),u=n(24),a=new i.default(\"GOOGLE\"),s=new i.default(\"WGS84\"),f=(0,l.default)(s,a);e.wgs84_mercator={compute:(n,t)=>isFinite(n)&&isFinite(t)?f.forward([n,t]):[NaN,NaN],invert:(n,t)=>isFinite(n)&&isFinite(t)?f.inverse([n,t]):[NaN,NaN]};const _={lon:[-20026376.39,20026376.39],lat:[-20048966.1,20048966.1]},p={lon:[-180,180],lat:[-85.06,85.06]},{min:g,max:h}=Math;function m(n,t){const o=g(n.length,t.length),r=(0,u.infer_type)(n,t),c=new r(o),l=new r(o);return e.inplace.project_xy(n,t,c,l),[c,l]}e.clip_mercator=function(n,t,e){const[o,r]=_[e];return[h(n,o),g(t,r)]},e.in_bounds=function(n,t){const[e,o]=p[t];return e2?void 0!==e.name&&\"geocent\"===e.name||void 0!==n.name&&\"geocent\"===n.name?\"number\"==typeof o.z?[o.x,o.y,o.z].concat(t.splice(3)):[o.x,o.y,t[2]].concat(t.splice(3)):[o.x,o.y].concat(t.splice(2)):[o.x,o.y]):(a=(0,c.default)(e,n,t,r),2===(i=Object.keys(t)).length||i.forEach((function(r){if(void 0!==e.name&&\"geocent\"===e.name||void 0!==n.name&&\"geocent\"===n.name){if(\"x\"===r||\"y\"===r||\"z\"===r)return}else if(\"x\"===r||\"y\"===r)return;a[r]=t[r]})),a)}function l(e){return e instanceof i.default?e:e.oProj?e.oProj:(0,i.default)(e)}t.default=function(e,n,t){e=l(e);var r,o=!1;return void 0===n?(n=e,e=u,o=!0):(void 0!==n.x||Array.isArray(n))&&(t=n,n=e,e=u,o=!0),n=l(n),t?f(e,n,t):(r={forward:function(t,r){return f(e,n,t,r)},inverse:function(t,r){return f(n,e,t,r)}},o&&(r.oProj=n),r)}},\n", " function _(t,e,a,s,i){s();const l=t(1),u=(0,l.__importDefault)(t(81)),r=(0,l.__importDefault)(t(92)),d=(0,l.__importDefault)(t(93)),o=t(101),f=(0,l.__importDefault)(t(103)),p=(0,l.__importDefault)(t(104)),m=(0,l.__importDefault)(t(88)),n=t(105);function h(t,e){if(!(this instanceof h))return new h(t);e=e||function(t){if(t)throw t};var a=(0,u.default)(t);if(\"object\"==typeof a){var s=h.projections.get(a.projName);if(s){if(a.datumCode&&\"none\"!==a.datumCode){var i=(0,m.default)(f.default,a.datumCode);i&&(a.datum_params=a.datum_params||(i.towgs84?i.towgs84.split(\",\"):null),a.ellps=i.ellipse,a.datumName=i.datumName?i.datumName:a.datumCode)}a.k0=a.k0||1,a.axis=a.axis||\"enu\",a.ellps=a.ellps||\"wgs84\",a.lat1=a.lat1||a.lat0;var l=(0,o.sphere)(a.a,a.b,a.rf,a.ellps,a.sphere),d=(0,o.eccentricity)(l.a,l.b,l.rf,a.R_A),_=(0,n.getNadgrids)(a.nadgrids),c=a.datum||(0,p.default)(a.datumCode,a.datum_params,l.a,l.b,d.es,d.ep2,_);(0,r.default)(this,a),(0,r.default)(this,s),this.a=l.a,this.b=l.b,this.rf=l.rf,this.sphere=l.sphere,this.es=d.es,this.e=d.e,this.ep2=d.ep2,this.datum=c,this.init(),e(null,this)}else e(t)}else e(t)}h.projections=d.default,h.projections.start(),a.default=h},\n", " function _(t,r,n,u,e){u();const f=t(1),i=(0,f.__importDefault)(t(82)),a=(0,f.__importDefault)(t(89)),o=(0,f.__importDefault)(t(84)),l=(0,f.__importDefault)(t(88));var C=[\"PROJECTEDCRS\",\"PROJCRS\",\"GEOGCS\",\"GEOCCS\",\"PROJCS\",\"LOCAL_CS\",\"GEODCRS\",\"GEODETICCRS\",\"GEODETICDATUM\",\"ENGCRS\",\"ENGINEERINGCRS\"];var d=[\"3857\",\"900913\",\"3785\",\"102113\"];n.default=function(t){if(!function(t){return\"string\"==typeof t}(t))return t;if(function(t){return t in i.default}(t))return i.default[t];if(function(t){return C.some((function(r){return t.indexOf(r)>-1}))}(t)){var r=(0,a.default)(t);if(function(t){var r=(0,l.default)(t,\"authority\");if(r){var n=(0,l.default)(r,\"epsg\");return n&&d.indexOf(n)>-1}}(r))return i.default[\"EPSG:3857\"];var n=function(t){var r=(0,l.default)(t,\"extension\");if(r)return(0,l.default)(r,\"proj4\")}(r);return n?(0,o.default)(n):r}return function(t){return\"+\"===t[0]}(t)?(0,o.default)(t):void 0}},\n", " function _(t,r,i,e,n){e();const f=t(1),a=(0,f.__importDefault)(t(83)),l=(0,f.__importDefault)(t(84)),u=(0,f.__importDefault)(t(89));function o(t){var r=this;if(2===arguments.length){var i=arguments[1];\"string\"==typeof i?\"+\"===i.charAt(0)?o[t]=(0,l.default)(arguments[1]):o[t]=(0,u.default)(arguments[1]):o[t]=i}else if(1===arguments.length){if(Array.isArray(t))return t.map((function(t){Array.isArray(t)?o.apply(r,t):o(t)}));if(\"string\"==typeof t){if(t in o)return o[t]}else\"EPSG\"in t?o[\"EPSG:\"+t.EPSG]=t:\"ESRI\"in t?o[\"ESRI:\"+t.ESRI]=t:\"IAU2000\"in t?o[\"IAU2000:\"+t.IAU2000]=t:console.log(t);return}}(0,a.default)(o),i.default=o},\n", " function _(t,l,G,S,e){S(),G.default=function(t){t(\"EPSG:4326\",\"+title=WGS 84 (long/lat) +proj=longlat +ellps=WGS84 +datum=WGS84 +units=degrees\"),t(\"EPSG:4269\",\"+title=NAD83 (long/lat) +proj=longlat +a=6378137.0 +b=6356752.31414036 +ellps=GRS80 +datum=NAD83 +units=degrees\"),t(\"EPSG:3857\",\"+title=WGS 84 / Pseudo-Mercator +proj=merc +a=6378137 +b=6378137 +lat_ts=0.0 +lon_0=0.0 +x_0=0.0 +y_0=0 +k=1.0 +units=m +nadgrids=@null +no_defs\"),t.WGS84=t[\"EPSG:4326\"],t[\"EPSG:3785\"]=t[\"EPSG:3857\"],t.GOOGLE=t[\"EPSG:3857\"],t[\"EPSG:900913\"]=t[\"EPSG:3857\"],t[\"EPSG:102113\"]=t[\"EPSG:3857\"]}},\n", " function _(t,n,o,a,u){a();const e=t(1),r=t(85),i=(0,e.__importDefault)(t(86)),f=(0,e.__importDefault)(t(87)),l=(0,e.__importDefault)(t(88));o.default=function(t){var n,o,a,u={},e=t.split(\"+\").map((function(t){return t.trim()})).filter((function(t){return t})).reduce((function(t,n){var o=n.split(\"=\");return o.push(!0),t[o[0].toLowerCase()]=o[1],t}),{}),c={proj:\"projName\",datum:\"datumCode\",rf:function(t){u.rf=parseFloat(t)},lat_0:function(t){u.lat0=t*r.D2R},lat_1:function(t){u.lat1=t*r.D2R},lat_2:function(t){u.lat2=t*r.D2R},lat_ts:function(t){u.lat_ts=t*r.D2R},lon_0:function(t){u.long0=t*r.D2R},lon_1:function(t){u.long1=t*r.D2R},lon_2:function(t){u.long2=t*r.D2R},alpha:function(t){u.alpha=parseFloat(t)*r.D2R},gamma:function(t){u.rectified_grid_angle=parseFloat(t)},lonc:function(t){u.longc=t*r.D2R},x_0:function(t){u.x0=parseFloat(t)},y_0:function(t){u.y0=parseFloat(t)},k_0:function(t){u.k0=parseFloat(t)},k:function(t){u.k0=parseFloat(t)},a:function(t){u.a=parseFloat(t)},b:function(t){u.b=parseFloat(t)},r_a:function(){u.R_A=!0},zone:function(t){u.zone=parseInt(t,10)},south:function(){u.utmSouth=!0},towgs84:function(t){u.datum_params=t.split(\",\").map((function(t){return parseFloat(t)}))},to_meter:function(t){u.to_meter=parseFloat(t)},units:function(t){u.units=t;var n=(0,l.default)(f.default,t);n&&(u.to_meter=n.to_meter)},from_greenwich:function(t){u.from_greenwich=t*r.D2R},pm:function(t){var n=(0,l.default)(i.default,t);u.from_greenwich=(n||parseFloat(t))*r.D2R},nadgrids:function(t){\"@null\"===t?u.datumCode=\"none\":u.nadgrids=t},axis:function(t){var n=\"ewnsud\";3===t.length&&-1!==n.indexOf(t.substr(0,1))&&-1!==n.indexOf(t.substr(1,1))&&-1!==n.indexOf(t.substr(2,1))&&(u.axis=t)},approx:function(){u.approx=!0}};for(n in e)o=e[n],n in c?\"function\"==typeof(a=c[n])?a(o):u[a]=o:u[n]=o;return\"string\"==typeof u.datumCode&&\"WGS84\"!==u.datumCode&&(u.datumCode=u.datumCode.toLowerCase()),u}},\n", " function _(S,_,P,R,I){R(),P.PJD_3PARAM=1,P.PJD_7PARAM=2,P.PJD_GRIDSHIFT=3,P.PJD_WGS84=4,P.PJD_NODATUM=5,P.SRS_WGS84_SEMIMAJOR=6378137,P.SRS_WGS84_SEMIMINOR=6356752.314,P.SRS_WGS84_ESQUARED=.0066943799901413165,P.SEC_TO_RAD=484813681109536e-20,P.HALF_PI=Math.PI/2,P.SIXTH=.16666666666666666,P.RA4=.04722222222222222,P.RA6=.022156084656084655,P.EPSLN=1e-10,P.D2R=.017453292519943295,P.R2D=57.29577951308232,P.FORTPI=Math.PI/4,P.TWO_PI=2*Math.PI,P.SPI=3.14159265359},\n", " function _(o,r,a,e,s){e();var n={};a.default=n,n.greenwich=0,n.lisbon=-9.131906111111,n.paris=2.337229166667,n.bogota=-74.080916666667,n.madrid=-3.687938888889,n.rome=12.452333333333,n.bern=7.439583333333,n.jakarta=106.807719444444,n.ferro=-17.666666666667,n.brussels=4.367975,n.stockholm=18.058277777778,n.athens=23.7163375,n.oslo=10.722916666667},\n", " function _(t,e,f,o,u){o(),f.default={ft:{to_meter:.3048},\"us-ft\":{to_meter:1200/3937}}},\n", " function _(e,r,t,a,n){a();var o=/[\\s_\\-\\/\\(\\)]/g;t.default=function(e,r){if(e[r])return e[r];for(var t,a=Object.keys(e),n=r.toLowerCase().replace(o,\"\"),f=-1;++f0?90:-90),e.lat_ts=e.lat1)}(n),n}},\n", " function _(t,e,r,i,s){i(),r.default=function(t){return new d(t).output()};var h=/\\s/,o=/[A-Za-z]/,n=/[A-Za-z84]/,a=/[,\\]]/,u=/[\\d\\.E\\-\\+]/;function d(t){if(\"string\"!=typeof t)throw new Error(\"not a string\");this.text=t.trim(),this.level=0,this.place=0,this.root=null,this.stack=[],this.currentObject=null,this.state=1}d.prototype.readCharicter=function(){var t=this.text[this.place++];if(4!==this.state)for(;h.test(t);){if(this.place>=this.text.length)return;t=this.text[this.place++]}switch(this.state){case 1:return this.neutral(t);case 2:return this.keyword(t);case 4:return this.quoted(t);case 5:return this.afterquote(t);case 3:return this.number(t);case-1:return}},d.prototype.afterquote=function(t){if('\"'===t)return this.word+='\"',void(this.state=4);if(a.test(t))return this.word=this.word.trim(),void this.afterItem(t);throw new Error(\"havn't handled \\\"\"+t+'\" in afterquote yet, index '+this.place)},d.prototype.afterItem=function(t){return\",\"===t?(null!==this.word&&this.currentObject.push(this.word),this.word=null,void(this.state=1)):\"]\"===t?(this.level--,null!==this.word&&(this.currentObject.push(this.word),this.word=null),this.state=1,this.currentObject=this.stack.pop(),void(this.currentObject||(this.state=-1))):void 0},d.prototype.number=function(t){if(!u.test(t)){if(a.test(t))return this.word=parseFloat(this.word),void this.afterItem(t);throw new Error(\"havn't handled \\\"\"+t+'\" in number yet, index '+this.place)}this.word+=t},d.prototype.quoted=function(t){'\"'!==t?this.word+=t:this.state=5},d.prototype.keyword=function(t){if(n.test(t))this.word+=t;else{if(\"[\"===t){var e=[];return e.push(this.word),this.level++,null===this.root?this.root=e:this.currentObject.push(e),this.stack.push(this.currentObject),this.currentObject=e,void(this.state=1)}if(!a.test(t))throw new Error(\"havn't handled \\\"\"+t+'\" in keyword yet, index '+this.place);this.afterItem(t)}},d.prototype.neutral=function(t){if(o.test(t))return this.word=t,void(this.state=2);if('\"'===t)return this.word=\"\",void(this.state=4);if(u.test(t))return this.word=t,void(this.state=3);if(!a.test(t))throw new Error(\"havn't handled \\\"\"+t+'\" in neutral yet, index '+this.place);this.afterItem(t)},d.prototype.output=function(){for(;this.place90&&a*o.R2D<-90&&h*o.R2D>180&&h*o.R2D<-180)return null;if(Math.abs(Math.abs(a)-o.HALF_PI)<=o.EPSLN)return null;if(this.sphere)i=this.x0+this.a*this.k0*(0,n.default)(h-this.long0),s=this.y0+this.a*this.k0*Math.log(Math.tan(o.FORTPI+.5*a));else{var e=Math.sin(a),r=(0,l.default)(this.e,a,e);i=this.x0+this.a*this.k0*(0,n.default)(h-this.long0),s=this.y0-this.a*this.k0*Math.log(r)}return t.x=i,t.y=s,t}function M(t){var i,s,h=t.x-this.x0,a=t.y-this.y0;if(this.sphere)s=o.HALF_PI-2*Math.atan(Math.exp(-a/(this.a*this.k0)));else{var e=Math.exp(-a/(this.a*this.k0));if(-9999===(s=(0,u.default)(this.e,e)))return null}return i=(0,n.default)(this.long0+h/(this.a*this.k0)),t.x=i,t.y=s,t}s.init=f,s.forward=_,s.inverse=M,s.names=[\"Mercator\",\"Popular Visualisation Pseudo Mercator\",\"Mercator_1SP\",\"Mercator_Auxiliary_Sphere\",\"merc\"],s.default={init:f,forward:_,inverse:M,names:s.names}},\n", " function _(t,n,r,u,a){u(),r.default=function(t,n,r){var u=t*n;return r/Math.sqrt(1-u*u)}},\n", " function _(t,n,u,a,f){a();const e=t(1),o=t(85),_=(0,e.__importDefault)(t(97));u.default=function(t){return Math.abs(t)<=o.SPI?t:t-(0,_.default)(t)*o.TWO_PI}},\n", " function _(n,t,u,f,c){f(),u.default=function(n){return n<0?-1:1}},\n", " function _(t,n,a,o,u){o();const c=t(85);a.default=function(t,n,a){var o=t*a,u=.5*t;return o=Math.pow((1-o)/(1+o),u),Math.tan(.5*(c.HALF_PI-n))/o}},\n", " function _(t,a,n,r,f){r();const h=t(85);n.default=function(t,a){for(var n,r,f=.5*t,o=h.HALF_PI-2*Math.atan(a),u=0;u<=15;u++)if(n=t*Math.sin(o),o+=r=h.HALF_PI-2*Math.atan(a*Math.pow((1-n)/(1+n),f))-o,Math.abs(r)<=1e-10)return o;return-9999}},\n", " function _(n,i,e,t,r){function a(){}function f(n){return n}t(),e.init=a,e.forward=f,e.inverse=f,e.names=[\"longlat\",\"identity\"],e.default={init:a,forward:f,inverse:f,names:e.names}},\n", " function _(t,r,e,a,n){a();const f=t(1),i=t(85),u=(0,f.__importStar)(t(102)),c=(0,f.__importDefault)(t(88));e.eccentricity=function(t,r,e,a){var n=t*t,f=r*r,u=(n-f)/n,c=0;return a?(n=(t*=1-u*(i.SIXTH+u*(i.RA4+u*i.RA6)))*t,u=0):c=Math.sqrt(u),{es:u,e:c,ep2:(n-f)/f}},e.sphere=function(t,r,e,a,n){if(!t){var f=(0,c.default)(u.default,a);f||(f=u.WGS84),t=f.a,r=f.b,e=f.rf}return e&&!r&&(r=(1-1/e)*t),(0===e||Math.abs(t-r)3&&(0===s.datum_params[3]&&0===s.datum_params[4]&&0===s.datum_params[5]&&0===s.datum_params[6]||(s.datum_type=d.PJD_7PARAM,s.datum_params[3]*=d.SEC_TO_RAD,s.datum_params[4]*=d.SEC_TO_RAD,s.datum_params[5]*=d.SEC_TO_RAD,s.datum_params[6]=s.datum_params[6]/1e6+1))),r&&(s.datum_type=d.PJD_GRIDSHIFT,s.grids=r),s.a=_,s.b=t,s.es=u,s.ep2=p,s}},\n", " function _(t,e,n,r,i){r();var u={};function l(t){if(0===t.length)return null;var e=\"@\"===t[0];return e&&(t=t.slice(1)),\"null\"===t?{name:\"null\",mandatory:!e,grid:null,isNull:!0}:{name:t,mandatory:!e,grid:u[t]||null,isNull:!1}}function o(t){return t/3600*Math.PI/180}function a(t,e,n){return String.fromCharCode.apply(null,new Uint8Array(t.buffer.slice(e,n)))}function d(t){return t.map((function(t){return[o(t.longitudeShift),o(t.latitudeShift)]}))}function g(t,e,n){return{name:a(t,e+8,e+16).trim(),parent:a(t,e+24,e+24+8).trim(),lowerLatitude:t.getFloat64(e+72,n),upperLatitude:t.getFloat64(e+88,n),lowerLongitude:t.getFloat64(e+104,n),upperLongitude:t.getFloat64(e+120,n),latitudeInterval:t.getFloat64(e+136,n),longitudeInterval:t.getFloat64(e+152,n),gridNodeCount:t.getInt32(e+168,n)}}function s(t,e,n,r){for(var i=e+176,u=[],l=0;l1&&console.log(\"Only single NTv2 subgrids are currently supported, subsequent sub grids are ignored\");var l=function(t,e,n){for(var r=176,i=[],u=0;ua.y||f>a.x||N1e-12&&Math.abs(n.y)>1e-12);if(d<0)return console.log(\"Inverse grid shift iterator failed to converge.\"),a;a.x=(0,u.default)(l.x+t.ll[0]),a.y=l.y+t.ll[1]}else isNaN(l.x)||(a.x=r.x+l.x,a.y=r.y+l.y);return a}function f(r,e){var t,a={x:r.x/e.del[0],y:r.y/e.del[1]},i=Math.floor(a.x),l=Math.floor(a.y),n=a.x-1*i,o=a.y-1*l,u={x:Number.NaN,y:Number.NaN};if(i<0||i>=e.lim[0])return u;if(l<0||l>=e.lim[1])return u;t=l*e.lim[0]+i;var d=e.cvs[t][0],s=e.cvs[t][1];t++;var y=e.cvs[t][0],f=e.cvs[t][1];t+=e.lim[0];var x=e.cvs[t][0],m=e.cvs[t][1];t--;var N=e.cvs[t][0],c=e.cvs[t][1],_=n*o,g=n*(1-o),v=(1-n)*(1-o),S=(1-n)*o;return u.x=v*d+g*y+S*N+_*x,u.y=v*s+g*f+S*c+_*m,u}t.default=function(r,e,t){if((0,o.compareDatums)(r,e))return t;if(r.datum_type===n.PJD_NODATUM||e.datum_type===n.PJD_NODATUM)return t;var a=r.a,i=r.es;if(r.datum_type===n.PJD_GRIDSHIFT){if(0!==s(r,!1,t))return;a=n.SRS_WGS84_SEMIMAJOR,i=n.SRS_WGS84_ESQUARED}var l=e.a,u=e.b,y=e.es;if(e.datum_type===n.PJD_GRIDSHIFT&&(l=n.SRS_WGS84_SEMIMAJOR,u=n.SRS_WGS84_SEMIMINOR,y=n.SRS_WGS84_ESQUARED),i===y&&a===l&&!d(r.datum_type)&&!d(e.datum_type))return t;if(t=(0,o.geodeticToGeocentric)(t,i,a),d(r.datum_type)&&(t=(0,o.geocentricToWgs84)(t,r.datum_type,r.datum_params)),d(e.datum_type)&&(t=(0,o.geocentricFromWgs84)(t,e.datum_type,e.datum_params)),t=(0,o.geocentricToGeodetic)(t,y,l,u),e.datum_type===n.PJD_GRIDSHIFT&&0!==s(e,!0,t))return;return t},t.applyGridShift=s},\n", " function _(a,t,r,m,s){m();const u=a(85);r.compareDatums=function(a,t){return a.datum_type===t.datum_type&&(!(a.a!==t.a||Math.abs(a.es-t.es)>5e-11)&&(a.datum_type===u.PJD_3PARAM?a.datum_params[0]===t.datum_params[0]&&a.datum_params[1]===t.datum_params[1]&&a.datum_params[2]===t.datum_params[2]:a.datum_type!==u.PJD_7PARAM||a.datum_params[0]===t.datum_params[0]&&a.datum_params[1]===t.datum_params[1]&&a.datum_params[2]===t.datum_params[2]&&a.datum_params[3]===t.datum_params[3]&&a.datum_params[4]===t.datum_params[4]&&a.datum_params[5]===t.datum_params[5]&&a.datum_params[6]===t.datum_params[6]))},r.geodeticToGeocentric=function(a,t,r){var m,s,_,e,n=a.x,d=a.y,i=a.z?a.z:0;if(d<-u.HALF_PI&&d>-1.001*u.HALF_PI)d=-u.HALF_PI;else if(d>u.HALF_PI&&d<1.001*u.HALF_PI)d=u.HALF_PI;else{if(d<-u.HALF_PI)return{x:-1/0,y:-1/0,z:a.z};if(d>u.HALF_PI)return{x:1/0,y:1/0,z:a.z}}return n>Math.PI&&(n-=2*Math.PI),s=Math.sin(d),e=Math.cos(d),_=s*s,{x:((m=r/Math.sqrt(1-t*_))+i)*e*Math.cos(n),y:(m+i)*e*Math.sin(n),z:(m*(1-t)+i)*s}},r.geocentricToGeodetic=function(a,t,r,m){var s,_,e,n,d,i,p,P,y,z,M,o,A,c,x,h=1e-12,f=a.x,I=a.y,F=a.z?a.z:0;if(s=Math.sqrt(f*f+I*I),_=Math.sqrt(f*f+I*I+F*F),s/r1e-24&&A<30);return{x:c,y:Math.atan(M/Math.abs(z)),z:x}},r.geocentricToWgs84=function(a,t,r){if(t===u.PJD_3PARAM)return{x:a.x+r[0],y:a.y+r[1],z:a.z+r[2]};if(t===u.PJD_7PARAM){var m=r[0],s=r[1],_=r[2],e=r[3],n=r[4],d=r[5],i=r[6];return{x:i*(a.x-d*a.y+n*a.z)+m,y:i*(d*a.x+a.y-e*a.z)+s,z:i*(-n*a.x+e*a.y+a.z)+_}}},r.geocentricFromWgs84=function(a,t,r){if(t===u.PJD_3PARAM)return{x:a.x-r[0],y:a.y-r[1],z:a.z-r[2]};if(t===u.PJD_7PARAM){var m=r[0],s=r[1],_=r[2],e=r[3],n=r[4],d=r[5],i=r[6],p=(a.x-m)/i,P=(a.y-s)/i,y=(a.z-_)/i;return{x:p+d*P-n*y,y:-d*p+P+e*y,z:n*p-e*P+y}}}},\n", " function _(e,a,i,r,s){r(),i.default=function(e,a,i){var r,s,n,c=i.x,d=i.y,f=i.z||0,u={};for(n=0;n<3;n++)if(!a||2!==n||void 0!==i.z)switch(0===n?(r=c,s=-1!==\"ew\".indexOf(e.axis[n])?\"x\":\"y\"):1===n?(r=d,s=-1!==\"ns\".indexOf(e.axis[n])?\"y\":\"x\"):(r=f,s=\"z\"),e.axis[n]){case\"e\":u[s]=r;break;case\"w\":u[s]=-r;break;case\"n\":u[s]=r;break;case\"s\":u[s]=-r;break;case\"u\":void 0!==i[s]&&(u.z=r);break;case\"d\":void 0!==i[s]&&(u.z=-r);break;default:return null}return u}},\n", " function _(n,t,e,u,f){u(),e.default=function(n){var t={x:n[0],y:n[1]};return n.length>2&&(t.z=n[2]),n.length>3&&(t.m=n[3]),t}},\n", " function _(e,i,n,t,r){function o(e){if(\"function\"==typeof Number.isFinite){if(Number.isFinite(e))return;throw new TypeError(\"coordinates must be finite numbers\")}if(\"number\"!=typeof e||e!=e||!isFinite(e))throw new TypeError(\"coordinates must be finite numbers\")}t(),n.default=function(e){o(e.x),o(e.y)}},\n", " function _(e,i,s,t,o){t();const n=e(1);var l,a,r,_,c;const d=e(53),v=e(42),u=(0,n.__importStar)(e(45)),h=e(48),m=(0,n.__importStar)(e(18));class T extends v.View{initialize(){super.initialize(),this.visuals=new u.Visuals(this)}request_render(){this.parent.request_render()}get canvas(){return this.parent.canvas}set_data(e){const i=this;for(const s of this.model){if(!(s instanceof m.VectorSpec||s instanceof m.ScalarSpec))continue;const t=s.uniform(e);i[`${s.attr}`]=t}}}s.ArrowHeadView=T,T.__name__=\"ArrowHeadView\";class p extends d.Model{constructor(e){super(e)}}s.ArrowHead=p,l=p,p.__name__=\"ArrowHead\",l.define((()=>({size:[m.NumberSpec,25]})));class V extends T{clip(e,i){this.visuals.line.set_vectorize(e,i);const s=this.size.get(i);e.moveTo(.5*s,s),e.lineTo(.5*s,-2),e.lineTo(-.5*s,-2),e.lineTo(-.5*s,s),e.lineTo(0,0),e.lineTo(.5*s,s)}render(e,i){if(this.visuals.line.doit){this.visuals.line.set_vectorize(e,i);const s=this.size.get(i);e.beginPath(),e.moveTo(.5*s,s),e.lineTo(0,0),e.lineTo(-.5*s,s),e.stroke()}}}s.OpenHeadView=V,V.__name__=\"OpenHeadView\";class f extends p{constructor(e){super(e)}}s.OpenHead=f,a=f,f.__name__=\"OpenHead\",a.prototype.default_view=V,a.mixins(h.LineVector);class w extends T{clip(e,i){this.visuals.line.set_vectorize(e,i);const s=this.size.get(i);e.moveTo(.5*s,s),e.lineTo(.5*s,-2),e.lineTo(-.5*s,-2),e.lineTo(-.5*s,s),e.lineTo(.5*s,s)}render(e,i){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,i),this._normal(e,i),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,i),this._normal(e,i),e.stroke())}_normal(e,i){const s=this.size.get(i);e.beginPath(),e.moveTo(.5*s,s),e.lineTo(0,0),e.lineTo(-.5*s,s),e.closePath()}}s.NormalHeadView=w,w.__name__=\"NormalHeadView\";class H extends p{constructor(e){super(e)}}s.NormalHead=H,r=H,H.__name__=\"NormalHead\",r.prototype.default_view=w,r.mixins([h.LineVector,h.FillVector]),r.override({fill_color:\"black\"});class z extends T{clip(e,i){this.visuals.line.set_vectorize(e,i);const s=this.size.get(i);e.moveTo(.5*s,s),e.lineTo(.5*s,-2),e.lineTo(-.5*s,-2),e.lineTo(-.5*s,s),e.lineTo(0,.5*s),e.lineTo(.5*s,s)}render(e,i){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,i),this._vee(e,i),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,i),this._vee(e,i),e.stroke())}_vee(e,i){const s=this.size.get(i);e.beginPath(),e.moveTo(.5*s,s),e.lineTo(0,0),e.lineTo(-.5*s,s),e.lineTo(0,.5*s),e.closePath()}}s.VeeHeadView=z,z.__name__=\"VeeHeadView\";class x extends p{constructor(e){super(e)}}s.VeeHead=x,_=x,x.__name__=\"VeeHead\",_.prototype.default_view=z,_.mixins([h.LineVector,h.FillVector]),_.override({fill_color:\"black\"});class g extends T{render(e,i){if(this.visuals.line.doit){this.visuals.line.set_vectorize(e,i);const s=this.size.get(i);e.beginPath(),e.moveTo(.5*s,0),e.lineTo(-.5*s,0),e.stroke()}}clip(e,i){}}s.TeeHeadView=g,g.__name__=\"TeeHeadView\";class b extends p{constructor(e){super(e)}}s.TeeHead=b,c=b,b.__name__=\"TeeHead\",c.prototype.default_view=g,c.mixins(h.LineVector)},\n", " function _(n,e,t,i,o){i();const s=n(9);async function c(n,e,t){const i=new n(Object.assign(Object.assign({},t),{model:e}));return i.initialize(),await i.lazy_initialize(),i}t.build_view=async function(n,e={parent:null},t=(n=>n.default_view)){const i=await c(t(n),n,e);return i.connect_signals(),i},t.build_views=async function(n,e,t={parent:null},i=(n=>n.default_view)){const o=(0,s.difference)([...n.keys()],e);for(const e of o)n.get(e).remove(),n.delete(e);const a=[],f=e.filter((e=>!n.has(e)));for(const e of f){const o=await c(i(e),e,t);n.set(e,o),a.push(o)}for(const n of a)n.connect_signals();return a},t.remove_views=function(n){for(const[e,t]of n)t.remove(),n.delete(e)}},\n", " function _(e,s,_,i,l){i();const t=e(1);var o;const r=e(115),p=(0,t.__importStar)(e(48));class h extends r.UpperLowerView{paint(e){e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let s=0,_=this._lower_sx.length;s<_;s++)e.lineTo(this._lower_sx[s],this._lower_sy[s]);for(let s=this._upper_sx.length-1;s>=0;s--)e.lineTo(this._upper_sx[s],this._upper_sy[s]);e.closePath(),this.visuals.fill.apply(e),e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let s=0,_=this._lower_sx.length;s<_;s++)e.lineTo(this._lower_sx[s],this._lower_sy[s]);this.visuals.line.apply(e),e.beginPath(),e.moveTo(this._upper_sx[0],this._upper_sy[0]);for(let s=0,_=this._upper_sx.length;s<_;s++)e.lineTo(this._upper_sx[s],this._upper_sy[s]);this.visuals.line.apply(e)}}_.BandView=h,h.__name__=\"BandView\";class n extends r.UpperLower{constructor(e){super(e)}}_.Band=n,o=n,n.__name__=\"Band\",o.prototype.default_view=h,o.mixins([p.Line,p.Fill]),o.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})},\n", " function _(e,t,i,s,o){s();const r=e(1);var n;const p=e(69),a=e(20),_=(0,r.__importStar)(e(18));class h extends p.DataAnnotationView{map_data(){const{frame:e}=this.plot_view,t=this.model.dimension,i=this.coordinates.x_scale,s=this.coordinates.y_scale,o=\"height\"==t?s:i,r=\"height\"==t?i:s,n=\"height\"==t?e.bbox.yview:e.bbox.xview,p=\"height\"==t?e.bbox.xview:e.bbox.yview;let a,_,h;a=\"data\"==this.model.properties.lower.units?o.v_compute(this._lower):n.v_compute(this._lower),_=\"data\"==this.model.properties.upper.units?o.v_compute(this._upper):n.v_compute(this._upper),h=\"data\"==this.model.properties.base.units?r.v_compute(this._base):p.v_compute(this._base);const[d,c]=\"height\"==t?[1,0]:[0,1],u=[a,h],l=[_,h];this._lower_sx=u[d],this._lower_sy=u[c],this._upper_sx=l[d],this._upper_sy=l[c]}}i.UpperLowerView=h,h.__name__=\"UpperLowerView\";class d extends _.CoordinateSpec{get dimension(){return\"width\"==this.obj.dimension?\"x\":\"y\"}get units(){var e;return null!==(e=this.spec.units)&&void 0!==e?e:\"data\"}}i.XOrYCoordinateSpec=d,d.__name__=\"XOrYCoordinateSpec\";class c extends p.DataAnnotation{constructor(e){super(e)}}i.UpperLower=c,n=c,c.__name__=\"UpperLower\",n.define((()=>({dimension:[a.Dimension,\"height\"],lower:[d,{field:\"lower\"}],upper:[d,{field:\"upper\"}],base:[d,{field:\"base\"}]})))},\n", " function _(t,o,i,n,e){n();const s=t(1);var l;const r=t(40),a=(0,s.__importStar)(t(48)),c=t(20),h=t(65);i.EDGE_TOLERANCE=2.5;class b extends r.AnnotationView{constructor(){super(...arguments),this.bbox=new h.BBox}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render()))}_render(){const{left:t,right:o,top:i,bottom:n}=this.model;if(null==t&&null==o&&null==i&&null==n)return;const{frame:e}=this.plot_view,s=this.coordinates.x_scale,l=this.coordinates.y_scale,r=(t,o,i,n,e)=>{let s;return s=null!=t?this.model.screen?t:\"data\"==o?i.compute(t):n.compute(t):e,s};this.bbox=h.BBox.from_rect({left:r(t,this.model.left_units,s,e.bbox.xview,e.bbox.left),right:r(o,this.model.right_units,s,e.bbox.xview,e.bbox.right),top:r(i,this.model.top_units,l,e.bbox.yview,e.bbox.top),bottom:r(n,this.model.bottom_units,l,e.bbox.yview,e.bbox.bottom)}),this._paint_box()}_paint_box(){const{ctx:t}=this.layer;t.save();const{left:o,top:i,width:n,height:e}=this.bbox;t.beginPath(),t.rect(o,i,n,e),this.visuals.fill.apply(t),this.visuals.hatch.apply(t),this.visuals.line.apply(t),t.restore()}interactive_bbox(){const t=this.model.line_width+i.EDGE_TOLERANCE;return this.bbox.grow_by(t)}interactive_hit(t,o){if(null==this.model.in_cursor)return!1;return this.interactive_bbox().contains(t,o)}cursor(t,o){const{left:i,right:n,bottom:e,top:s}=this.bbox;return Math.abs(t-i)<3||Math.abs(t-n)<3?this.model.ew_cursor:Math.abs(o-e)<3||Math.abs(o-s)<3?this.model.ns_cursor:this.bbox.contains(t,o)?this.model.in_cursor:null}}i.BoxAnnotationView=b,b.__name__=\"BoxAnnotationView\";class u extends r.Annotation{constructor(t){super(t)}update({left:t,right:o,top:i,bottom:n}){this.setv({left:t,right:o,top:i,bottom:n,screen:!0})}}i.BoxAnnotation=u,l=u,u.__name__=\"BoxAnnotation\",l.prototype.default_view=b,l.mixins([a.Line,a.Fill,a.Hatch]),l.define((({Number:t,Nullable:o})=>({top:[o(t),null],top_units:[c.SpatialUnits,\"data\"],bottom:[o(t),null],bottom_units:[c.SpatialUnits,\"data\"],left:[o(t),null],left_units:[c.SpatialUnits,\"data\"],right:[o(t),null],right_units:[c.SpatialUnits,\"data\"],render_mode:[c.RenderMode,\"canvas\"]}))),l.internal((({Boolean:t,String:o,Nullable:i})=>({screen:[t,!1],ew_cursor:[i(o),null],ns_cursor:[i(o),null],in_cursor:[i(o),null]}))),l.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})},\n", " function _(t,e,i,o,n){o();const a=t(1);var r;const s=t(40),l=t(118),_=t(126),c=t(127),h=t(130),u=t(168),p=t(131),m=t(192),g=t(132),d=t(173),f=t(172),w=t(196),b=t(204),v=t(206),x=t(133),y=t(20),k=(0,a.__importStar)(t(48)),z=t(9),j=t(207),C=t(208),L=t(211),B=t(123),S=t(11),M=t(113),T=t(65),A=t(8);class O extends s.AnnotationView{get orientation(){return this._orientation}initialize(){super.initialize();const{ticker:t,formatter:e,color_mapper:i}=this.model;this._ticker=\"auto\"!=t?t:(()=>{switch(!0){case i instanceof w.LogColorMapper:return new u.LogTicker;case i instanceof w.ScanningColorMapper:return new u.BinnedTicker({mapper:i});case i instanceof w.CategoricalColorMapper:return new u.CategoricalTicker;default:return new u.BasicTicker}})(),this._formatter=\"auto\"!=e?e:(()=>{switch(!0){case this._ticker instanceof u.LogTicker:return new m.LogTickFormatter;case i instanceof w.CategoricalColorMapper:return new m.CategoricalTickFormatter;default:return new m.BasicTickFormatter}})(),this._major_range=(()=>{if(i instanceof w.CategoricalColorMapper){const{factors:t}=i;return new v.FactorRange({factors:t})}if(i instanceof f.ContinuousColorMapper){const{min:t,max:e}=i.metrics;return new v.Range1d({start:t,end:e})}(0,S.unreachable)()})(),this._major_scale=(()=>{if(i instanceof w.LinearColorMapper)return new b.LinearScale;if(i instanceof w.LogColorMapper)return new b.LogScale;if(i instanceof w.ScanningColorMapper){const{binning:t}=i.metrics;return new b.LinearInterpolationScale({binning:t})}if(i instanceof w.CategoricalColorMapper)return new b.CategoricalScale;(0,S.unreachable)()})(),this._minor_range=new v.Range1d({start:0,end:1}),this._minor_scale=new b.LinearScale;const o=k.attrs_of(this.model,\"major_label_\",k.Text,!0),n=k.attrs_of(this.model,\"major_tick_\",k.Line,!0),a=k.attrs_of(this.model,\"minor_tick_\",k.Line,!0),r=k.attrs_of(this.model,\"title_\",k.Text),s=i instanceof w.CategoricalColorMapper?c.CategoricalAxis:i instanceof w.LogColorMapper?c.LogAxis:c.LinearAxis;this._axis=new s(Object.assign(Object.assign(Object.assign({ticker:this._ticker,formatter:this._formatter,major_tick_in:this.model.major_tick_in,major_tick_out:this.model.major_tick_out,minor_tick_in:this.model.minor_tick_in,minor_tick_out:this.model.minor_tick_out,major_label_standoff:this.model.label_standoff,major_label_overrides:this.model.major_label_overrides,major_label_policy:this.model.major_label_policy,axis_line_color:null},o),n),a));const{title:_}=this.model;_&&(this._title=new l.Title(Object.assign({text:_,standoff:this.model.title_standoff},r)))}async lazy_initialize(){await super.lazy_initialize();const t=this,e={get parent(){return t.parent},get root(){return t.root},get frame(){return t._frame},get canvas_view(){return t.parent.canvas_view},request_layout(){t.parent.request_layout()}};this._axis_view=await(0,M.build_view)(this._axis,{parent:e}),null!=this._title&&(this._title_view=await(0,M.build_view)(this._title,{parent:e}))}remove(){var t;null===(t=this._title_view)||void 0===t||t.remove(),this._axis_view.remove(),super.remove()}connect_signals(){super.connect_signals(),this.connect(this._ticker.change,(()=>this.request_render())),this.connect(this._formatter.change,(()=>this.request_render())),this.connect(this.model.color_mapper.metrics_change,(()=>{const t=this._major_range,e=this._major_scale,{color_mapper:i}=this.model;if(i instanceof f.ContinuousColorMapper&&t instanceof v.Range1d){const{min:e,max:o}=i.metrics;t.setv({start:e,end:o})}if(i instanceof w.ScanningColorMapper&&e instanceof b.LinearInterpolationScale){const{binning:t}=i.metrics;e.binning=t}this._set_canvas_image(),this.plot_view.request_layout()}))}_set_canvas_image(){const{orientation:t}=this,e=(()=>{const{palette:e}=this.model.color_mapper;return\"vertical\"==t?(0,z.reversed)(e):e})(),[i,o]=\"vertical\"==t?[1,e.length]:[e.length,1],n=this._image=document.createElement(\"canvas\");n.width=i,n.height=o;const a=n.getContext(\"2d\"),r=a.getImageData(0,0,i,o),s=new w.LinearColorMapper({palette:e}).rgba_mapper.v_compute((0,z.range)(0,e.length));r.data.set(s),a.putImageData(r,0,0)}update_layout(){const{location:t,width:e,height:i,padding:o,margin:n}=this.model,[a,r]=(()=>{if(!(0,A.isString)(t))return[\"end\",\"start\"];switch(t){case\"top_left\":return[\"start\",\"start\"];case\"top\":case\"top_center\":return[\"start\",\"center\"];case\"top_right\":return[\"start\",\"end\"];case\"bottom_left\":return[\"end\",\"start\"];case\"bottom\":case\"bottom_center\":return[\"end\",\"center\"];case\"bottom_right\":return[\"end\",\"end\"];case\"left\":case\"center_left\":return[\"center\",\"start\"];case\"center\":case\"center_center\":return[\"center\",\"center\"];case\"right\":case\"center_right\":return[\"center\",\"end\"]}})(),s=this._orientation=(()=>{const{orientation:t}=this.model;return\"auto\"==t?null!=this.panel?this.panel.is_horizontal?\"horizontal\":\"vertical\":\"start\"==r||\"end\"==r||\"center\"==r&&\"center\"==a?\"vertical\":\"horizontal\":t})(),l=new C.NodeLayout,c=new C.VStack,h=new C.VStack,u=new C.HStack,p=new C.HStack;l.absolute=!0,c.absolute=!0,h.absolute=!0,u.absolute=!0,p.absolute=!0;const[m,g,d,f]=(()=>\"horizontal\"==s?[this._major_scale,this._minor_scale,this._major_range,this._minor_range]:[this._minor_scale,this._major_scale,this._minor_range,this._major_range])();this._frame=new _.CartesianFrame(m,g,d,f),l.on_resize((t=>this._frame.set_geometry(t)));const w=new L.BorderLayout;this._inner_layout=w,w.absolute=!0,w.center_panel=l,w.top_panel=c,w.bottom_panel=h,w.left_panel=u,w.right_panel=p;const b={left:o,right:o,top:o,bottom:o},v=(()=>{if(null==this.panel){if((0,A.isString)(t))return{left:n,right:n,top:n,bottom:n};{const[e,i]=t;return{left:e,right:n,top:n,bottom:i}}}if(!(0,A.isString)(t)){const[e,i]=t;return w.fixup_geometry=(t,o)=>{const n=t,a=this.layout.bbox,{width:r,height:s}=t;if(t=new T.BBox({left:a.left+e,bottom:a.bottom-i,width:r,height:s}),null!=o){const e=t.left-n.left,i=t.top-n.top,{left:a,top:r,width:s,height:l}=o;o=new T.BBox({left:a+e,top:r+i,width:s,height:l})}return[t,o]},{left:e,right:0,top:0,bottom:i}}w.fixup_geometry=(t,e)=>{const i=t;if(\"horizontal\"==s){const{top:e,width:i,height:o}=t;if(\"end\"==r){const{right:n}=this.layout.bbox;t=new T.BBox({right:n,top:e,width:i,height:o})}else if(\"center\"==r){const{hcenter:n}=this.layout.bbox;t=new T.BBox({hcenter:Math.round(n),top:e,width:i,height:o})}}else{const{left:e,width:i,height:o}=t;if(\"end\"==a){const{bottom:n}=this.layout.bbox;t=new T.BBox({left:e,bottom:n,width:i,height:o})}else if(\"center\"==a){const{vcenter:n}=this.layout.bbox;t=new T.BBox({left:e,vcenter:Math.round(n),width:i,height:o})}}if(null!=e){const o=t.left-i.left,n=t.top-i.top,{left:a,top:r,width:s,height:l}=e;e=new T.BBox({left:a+o,top:r+n,width:s,height:l})}return[t,e]}})();let x,y,k,z;if(w.padding=b,null!=this.panel?(x=\"max\",y=void 0,k=void 0,z=void 0):\"auto\"==(\"horizontal\"==s?e:i)?(x=\"fixed\",y=25*this.model.color_mapper.palette.length,k={percent:.3},z={percent:.8}):(x=\"fit\",y=void 0),\"horizontal\"==s){const t=\"auto\"==e?void 0:e,o=\"auto\"==i?25:i;w.set_sizing({width_policy:x,height_policy:\"min\",width:y,min_width:k,max_width:z,halign:r,valign:a,margin:v}),w.center_panel.set_sizing({width_policy:\"auto\"==e?\"fit\":\"fixed\",height_policy:\"fixed\",width:t,height:o})}else{const t=\"auto\"==e?25:e,o=\"auto\"==i?void 0:i;w.set_sizing({width_policy:\"min\",height_policy:x,height:y,min_height:k,max_height:z,halign:r,valign:a,margin:v}),w.center_panel.set_sizing({width_policy:\"fixed\",height_policy:\"auto\"==i?\"fit\":\"fixed\",width:t,height:o})}c.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),h.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),u.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),p.set_sizing({width_policy:\"min\",height_policy:\"fit\"});const{_title_view:S}=this;null!=S&&(\"horizontal\"==s?(S.panel=new B.Panel(\"above\"),S.update_layout(),c.children.push(S.layout)):(S.panel=new B.Panel(\"left\"),S.update_layout(),u.children.push(S.layout)));const{panel:M}=this,O=null!=M&&s==M.orientation?M.side:\"horizontal\"==s?\"below\":\"right\",R=(()=>{switch(O){case\"above\":return c;case\"below\":return h;case\"left\":return u;case\"right\":return p}})(),{_axis_view:F}=this;if(F.panel=new B.Panel(O),F.update_layout(),R.children.push(F.layout),null!=this.panel){const t=new j.Grid([{layout:w,row:0,col:0}]);t.absolute=!0,\"horizontal\"==s?t.set_sizing({width_policy:\"max\",height_policy:\"min\"}):t.set_sizing({width_policy:\"min\",height_policy:\"max\"}),this.layout=t}else this.layout=this._inner_layout;const{visible:I}=this.model;this.layout.sizing.visible=I,this._set_canvas_image()}_render(){var t;const{ctx:e}=this.layer;e.save(),this._paint_bbox(e,this._inner_layout.bbox),this._paint_image(e,this._inner_layout.center_panel.bbox),null===(t=this._title_view)||void 0===t||t.render(),this._axis_view.render(),e.restore()}_paint_bbox(t,e){const{x:i,y:o}=e;let{width:n,height:a}=e;i+n>=this.parent.canvas_view.bbox.width&&(n-=1),o+a>=this.parent.canvas_view.bbox.height&&(a-=1),t.save(),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(i,o,n,a)),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.strokeRect(i,o,n,a)),t.restore()}_paint_image(t,e){const{x:i,y:o,width:n,height:a}=e;t.save(),t.setImageSmoothingEnabled(!1),t.globalAlpha=this.model.scale_alpha,t.drawImage(this._image,i,o,n,a),this.visuals.bar_line.doit&&(this.visuals.bar_line.set_value(t),t.strokeRect(i,o,n,a)),t.restore()}serializable_state(){const t=super.serializable_state(),{children:e=[]}=t,i=(0,a.__rest)(t,[\"children\"]);return null!=this._title_view&&e.push(this._title_view.serializable_state()),e.push(this._axis_view.serializable_state()),Object.assign(Object.assign({},i),{children:e})}}i.ColorBarView=O,O.__name__=\"ColorBarView\";class R extends s.Annotation{constructor(t){super(t)}}i.ColorBar=R,r=R,R.__name__=\"ColorBar\",r.prototype.default_view=O,r.mixins([[\"major_label_\",k.Text],[\"title_\",k.Text],[\"major_tick_\",k.Line],[\"minor_tick_\",k.Line],[\"border_\",k.Line],[\"bar_\",k.Line],[\"background_\",k.Fill]]),r.define((({Alpha:t,Number:e,String:i,Tuple:o,Dict:n,Or:a,Ref:r,Auto:s,Nullable:l})=>({location:[a(y.Anchor,o(e,e)),\"top_right\"],orientation:[a(y.Orientation,s),\"auto\"],title:[l(i),null],title_standoff:[e,2],width:[a(e,s),\"auto\"],height:[a(e,s),\"auto\"],scale_alpha:[t,1],ticker:[a(r(h.Ticker),s),\"auto\"],formatter:[a(r(p.TickFormatter),s),\"auto\"],major_label_overrides:[n(a(i,r(x.BaseText))),{}],major_label_policy:[r(g.LabelingPolicy),()=>new g.NoOverlap],color_mapper:[r(d.ColorMapper)],label_standoff:[e,5],margin:[e,30],padding:[e,10],major_tick_in:[e,5],major_tick_out:[e,0],minor_tick_in:[e,0],minor_tick_out:[e,0]}))),r.override({background_fill_color:\"#ffffff\",background_fill_alpha:.95,bar_line_color:null,border_line_color:null,major_label_text_font_size:\"11px\",major_tick_line_color:\"#ffffff\",minor_tick_line_color:null,title_text_font_size:\"13px\",title_text_font_style:\"italic\"})},\n", " function _(t,e,i,s,l){s();const o=t(1);var a;const n=t(119),r=t(20),c=t(120),h=(0,o.__importStar)(t(48));class _ extends n.TextAnnotationView{_get_location(){const t=this.model.offset,e=this.model.standoff/2;let i,s;const{bbox:l}=this.layout;switch(this.panel.side){case\"above\":case\"below\":switch(this.model.vertical_align){case\"top\":s=l.top+e;break;case\"middle\":s=l.vcenter;break;case\"bottom\":s=l.bottom-e}switch(this.model.align){case\"left\":i=l.left+t;break;case\"center\":i=l.hcenter;break;case\"right\":i=l.right-t}break;case\"left\":switch(this.model.vertical_align){case\"top\":i=l.left+e;break;case\"middle\":i=l.hcenter;break;case\"bottom\":i=l.right-e}switch(this.model.align){case\"left\":s=l.bottom-t;break;case\"center\":s=l.vcenter;break;case\"right\":s=l.top+t}break;case\"right\":switch(this.model.vertical_align){case\"top\":i=l.right-e;break;case\"middle\":i=l.hcenter;break;case\"bottom\":i=l.left+e}switch(this.model.align){case\"left\":s=l.top+t;break;case\"center\":s=l.vcenter;break;case\"right\":s=l.bottom-t}}return[i,s]}_render(){const{text:t}=this.model;if(null==t||0==t.length)return;this.model.text_baseline=this.model.vertical_align,this.model.text_align=this.model.align;const[e,i]=this._get_location(),s=this.panel.get_label_angle_heuristic(\"parallel\");(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,t,e,i,s)}_get_size(){const{text:t}=this.model,e=new c.TextBox({text:t});e.visuals=this.visuals.text.values();const{width:i,height:s}=e.size();return{width:i,height:0==s?0:2+s+this.model.standoff}}}i.TitleView=_,_.__name__=\"TitleView\";class d extends n.TextAnnotation{constructor(t){super(t)}}i.Title=d,a=d,d.__name__=\"Title\",a.prototype.default_view=_,a.mixins([h.Text,[\"border_\",h.Line],[\"background_\",h.Fill]]),a.define((({Number:t,String:e})=>({text:[e,\"\"],vertical_align:[r.VerticalAlign,\"bottom\"],align:[r.TextAlign,\"left\"],offset:[t,0],standoff:[t,10]}))),a.prototype._props.text_align.options.internal=!0,a.prototype._props.text_baseline.options.internal=!0,a.override({text_font_size:\"13px\",text_font_style:\"bold\",text_line_height:1,background_fill_color:null,border_line_color:null})},\n", " function _(e,t,s,i,l){var n;i();const o=e(40),a=e(43),r=e(20),d=e(120),u=e(123),c=e(11);class h extends o.AnnotationView{update_layout(){const{panel:e}=this;this.layout=null!=e?new u.SideLayout(e,(()=>this.get_size()),!0):void 0}initialize(){super.initialize(),\"css\"==this.model.render_mode&&(this.el=(0,a.div)(),this.plot_view.canvas_view.add_overlay(this.el))}remove(){null!=this.el&&(0,a.remove)(this.el),super.remove()}connect_signals(){super.connect_signals(),\"css\"==this.model.render_mode?this.connect(this.model.change,(()=>this.render())):this.connect(this.model.change,(()=>this.request_render()))}render(){this.model.visible||\"css\"!=this.model.render_mode||(0,a.undisplay)(this.el),super.render()}_canvas_text(e,t,s,i,l){const n=new d.TextBox({text:t});n.angle=l,n.position={sx:s,sy:i},n.visuals=this.visuals.text.values();const{background_fill:o,border_line:a}=this.visuals;if(o.doit||a.doit){const{p0:t,p1:s,p2:i,p3:l}=n.rect();e.beginPath(),e.moveTo(t.x,t.y),e.lineTo(s.x,s.y),e.lineTo(i.x,i.y),e.lineTo(l.x,l.y),e.closePath(),this.visuals.background_fill.apply(e),this.visuals.border_line.apply(e)}this.visuals.text.doit&&n.paint(e)}_css_text(e,t,s,i,l){const{el:n}=this;(0,c.assert)(null!=n),(0,a.undisplay)(n),n.textContent=t,this.visuals.text.set_value(e),n.style.position=\"absolute\",n.style.left=`${s}px`,n.style.top=`${i}px`,n.style.color=e.fillStyle,n.style.font=e.font,n.style.lineHeight=\"normal\",n.style.whiteSpace=\"pre\";const[o,r]=(()=>{switch(this.visuals.text.text_align.get_value()){case\"left\":return[\"left\",\"0%\"];case\"center\":return[\"center\",\"-50%\"];case\"right\":return[\"right\",\"-100%\"]}})(),[d,u]=(()=>{switch(this.visuals.text.text_baseline.get_value()){case\"top\":return[\"top\",\"0%\"];case\"middle\":return[\"center\",\"-50%\"];case\"bottom\":return[\"bottom\",\"-100%\"];default:return[\"center\",\"-50%\"]}})();let h=`translate(${r}, ${u})`;l&&(h+=`rotate(${l}rad)`),n.style.transformOrigin=`${o} ${d}`,n.style.transform=h,this.layout,this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(e),n.style.backgroundColor=e.fillStyle),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(e),n.style.borderStyle=e.lineDash.length<2?\"solid\":\"dashed\",n.style.borderWidth=`${e.lineWidth}px`,n.style.borderColor=e.strokeStyle),(0,a.display)(n)}}s.TextAnnotationView=h,h.__name__=\"TextAnnotationView\";class _ extends o.Annotation{constructor(e){super(e)}}s.TextAnnotation=_,n=_,_.__name__=\"TextAnnotation\",n.define((()=>({render_mode:[r.RenderMode,\"canvas\"]})))},\n", " function _(t,e,s,i,n){i();const h=t(65),o=t(121),r=t(9),a=t(8),c=t(122),_=t(22);s.text_width=(()=>{const t=document.createElement(\"canvas\").getContext(\"2d\");let e=\"\";return(s,i)=>(i!=e&&(e=i,t.font=i),t.measureText(s).width)})();class l{constructor(){this._position={sx:0,sy:0},this.font_size_scale=1,this.align=\"left\",this._base_font_size=13,this._x_anchor=\"left\",this._y_anchor=\"center\"}set base_font_size(t){null!=t&&(this._base_font_size=t)}get base_font_size(){return this._base_font_size}set position(t){this._position=t}get position(){return this._position}infer_text_height(){return\"ascent_descent\"}bbox(){const{p0:t,p1:e,p2:s,p3:i}=this.rect(),n=Math.min(t.x,e.x,s.x,i.x),o=Math.min(t.y,e.y,s.y,i.y),r=Math.max(t.x,e.x,s.x,i.x),a=Math.max(t.y,e.y,s.y,i.y);return new h.BBox({left:n,right:r,top:o,bottom:a})}size(){const{width:t,height:e}=this._size(),{angle:s}=this;if(s){const i=Math.cos(Math.abs(s)),n=Math.sin(Math.abs(s));return{width:Math.abs(t*i+e*n),height:Math.abs(t*n+e*i)}}return{width:t,height:e}}rect(){const t=this._rect(),{angle:e}=this;if(e){const{sx:s,sy:i}=this.position,n=new c.AffineTransform;return n.translate(s,i),n.rotate(e),n.translate(-s,-i),n.apply_rect(t)}return t}paint_rect(t){const{p0:e,p1:s,p2:i,p3:n}=this.rect();t.save(),t.strokeStyle=\"red\",t.lineWidth=1,t.beginPath();const{round:h}=Math;t.moveTo(h(e.x),h(e.y)),t.lineTo(h(s.x),h(s.y)),t.lineTo(h(i.x),h(i.y)),t.lineTo(h(n.x),h(n.y)),t.closePath(),t.stroke(),t.restore()}paint_bbox(t){const{x:e,y:s,width:i,height:n}=this.bbox();t.save(),t.strokeStyle=\"blue\",t.lineWidth=1,t.beginPath();const{round:h}=Math;t.moveTo(h(e),h(s)),t.lineTo(h(e),h(s+n)),t.lineTo(h(e+i),h(s+n)),t.lineTo(h(e+i),h(s)),t.closePath(),t.stroke(),t.restore()}}s.GraphicsBox=l,l.__name__=\"GraphicsBox\";class x extends l{constructor({text:t}){super(),this.text=t}set visuals(t){const e=t.color,s=t.alpha,i=t.font_style;let n=t.font_size;const h=t.font,{font_size_scale:r,base_font_size:a}=this,c=(0,o.parse_css_font_size)(n);if(null!=c){let{value:t,unit:e}=c;t*=r,\"em\"==e&&a&&(t*=a,e=\"px\"),n=`${t}${e}`}const l=`${i} ${n} ${h}`;this.font=l,this.color=(0,_.color2css)(e,s),this.line_height=t.line_height;const x=t.align;this._x_anchor=x;const u=t.baseline;this._y_anchor=(()=>{switch(u){case\"top\":return\"top\";case\"middle\":return\"center\";case\"bottom\":return\"bottom\";default:return\"baseline\"}})()}infer_text_height(){if(this.text.includes(\"\\n\"))return\"ascent_descent\";{function t(t){for(const e of new Set(t))if(!(\"0\"<=e&&e<=\"9\"))switch(e){case\",\":case\".\":case\"+\":case\"-\":case\"\\u2212\":case\"e\":continue;default:return!1}return!0}return t(this.text)?\"cap\":\"ascent_descent\"}}_text_line(t){var e;const s=null!==(e=this.text_height_metric)&&void 0!==e?e:this.infer_text_height(),i=(()=>{switch(s){case\"x\":case\"x_descent\":return t.x_height;case\"cap\":case\"cap_descent\":return t.cap_height;case\"ascent\":case\"ascent_descent\":return t.ascent}})(),n=(()=>{switch(s){case\"x\":case\"cap\":case\"ascent\":return 0;case\"x_descent\":case\"cap_descent\":case\"ascent_descent\":return t.descent}})();return{height:i+n,ascent:i,descent:n}}get nlines(){return this.text.split(\"\\n\").length}_size(){var t,e;const{font:i}=this,n=(0,o.font_metrics)(i),h=(this.line_height-1)*n.height,a=\"\"==this.text,c=this.text.split(\"\\n\"),_=c.length,l=c.map((t=>(0,s.text_width)(t,i))),x=this._text_line(n).height*_,u=\"%\"==(null===(t=this.width)||void 0===t?void 0:t.unit)?this.width.value:1,p=\"%\"==(null===(e=this.height)||void 0===e?void 0:e.unit)?this.height.value:1;return{width:(0,r.max)(l)*u,height:a?0:(x+h*(_-1))*p,metrics:n}}_computed_position(t,e,s){const{width:i,height:n}=t,{sx:h,sy:o,x_anchor:r=this._x_anchor,y_anchor:c=this._y_anchor}=this.position;return{x:h-(()=>{if((0,a.isNumber)(r))return r*i;switch(r){case\"left\":return 0;case\"center\":return.5*i;case\"right\":return i}})(),y:o-(()=>{var t;if((0,a.isNumber)(c))return c*n;switch(c){case\"top\":return 0;case\"center\":return.5*n;case\"bottom\":return n;case\"baseline\":if(1!=s)return.5*n;switch(null!==(t=this.text_height_metric)&&void 0!==t?t:this.infer_text_height()){case\"x\":case\"x_descent\":return e.x_height;case\"cap\":case\"cap_descent\":return e.cap_height;case\"ascent\":case\"ascent_descent\":return e.ascent}}})()}}_rect(){const{width:t,height:e,metrics:s}=this._size(),i=this.text.split(\"\\n\").length,{x:n,y:o}=this._computed_position({width:t,height:e},s,i);return new h.BBox({x:n,y:o,width:t,height:e}).rect}paint(t){var e,i;const{font:n}=this,h=(0,o.font_metrics)(n),a=(this.line_height-1)*h.height,c=this.text.split(\"\\n\"),_=c.length,l=c.map((t=>(0,s.text_width)(t,n))),x=this._text_line(h),u=x.height*_,p=\"%\"==(null===(e=this.width)||void 0===e?void 0:e.unit)?this.width.value:1,f=\"%\"==(null===(i=this.height)||void 0===i?void 0:i.unit)?this.height.value:1,g=(0,r.max)(l)*p,d=(u+a*(_-1))*f;t.save(),t.fillStyle=this.color,t.font=this.font,t.textAlign=\"left\",t.textBaseline=\"alphabetic\";const{sx:b,sy:m}=this.position,{align:y}=this,{angle:w}=this;w&&(t.translate(b,m),t.rotate(w),t.translate(-b,-m));let{x:v,y:z}=this._computed_position({width:g,height:d},h,_);if(\"justify\"==y)for(let e=0;e<_;e++){let i=v;const h=c[e].split(\" \"),o=h.length,_=h.map((t=>(0,s.text_width)(t,n))),l=(g-(0,r.sum)(_))/(o-1);for(let e=0;e{switch(y){case\"left\":return 0;case\"center\":return.5*(g-l[e]);case\"right\":return g-l[e]}})();t.fillStyle=this.color,t.fillText(c[e],s,z+x.ascent),z+=x.height+a}t.restore()}}s.TextBox=x,x.__name__=\"TextBox\";class u extends l{constructor(t,e){super(),this.base=t,this.expo=e}get children(){return[this.base,this.expo]}set base_font_size(t){super.base_font_size=t,this.base.base_font_size=t,this.expo.base_font_size=t}set position(t){this._position=t;const e=this.base.size(),s=this.expo.size(),i=this._shift_scale()*e.height,n=Math.max(e.height,i+s.height);this.base.position={sx:0,x_anchor:\"left\",sy:n,y_anchor:\"bottom\"},this.expo.position={sx:e.width,x_anchor:\"left\",sy:i,y_anchor:\"bottom\"}}get position(){return this._position}set visuals(t){this.expo.font_size_scale=.7,this.base.visuals=t,this.expo.visuals=t}_shift_scale(){if(this.base instanceof x&&1==this.base.nlines){const{x_height:t,cap_height:e}=(0,o.font_metrics)(this.base.font);return t/e}return 2/3}infer_text_height(){return this.base.infer_text_height()}_rect(){const t=this.base.bbox(),e=this.expo.bbox(),s=t.union(e),{x:i,y:n}=this._computed_position();return s.translate(i,n).rect}_size(){const t=this.base.size(),e=this.expo.size();return{width:t.width+e.width,height:Math.max(t.height,this._shift_scale()*t.height+e.height)}}paint(t){t.save();const{angle:e}=this;if(e){const{sx:s,sy:i}=this.position;t.translate(s,i),t.rotate(e),t.translate(-s,-i)}const{x:s,y:i}=this._computed_position();t.translate(s,i),this.base.paint(t),this.expo.paint(t),t.restore()}paint_bbox(t){super.paint_bbox(t);const{x:e,y:s}=this._computed_position();t.save(),t.translate(e,s);for(const e of this.children)e.paint_bbox(t);t.restore()}_computed_position(){const{width:t,height:e}=this._size(),{sx:s,sy:i,x_anchor:n=this._x_anchor,y_anchor:h=this._y_anchor}=this.position;return{x:s-(()=>{if((0,a.isNumber)(n))return n*t;switch(n){case\"left\":return 0;case\"center\":return.5*t;case\"right\":return t}})(),y:i-(()=>{if((0,a.isNumber)(h))return h*e;switch(h){case\"top\":return 0;case\"center\":return.5*e;case\"bottom\":return e;case\"baseline\":return.5*e}})()}}}s.BaseExpo=u,u.__name__=\"BaseExpo\";class p{constructor(t){this.items=t}set base_font_size(t){for(const e of this.items)e.base_font_size=t}get length(){return this.items.length}set visuals(t){for(const e of this.items)e.visuals=t;const e={x:0,cap:1,ascent:2,x_descent:3,cap_descent:4,ascent_descent:5},s=(0,r.max_by)(this.items.map((t=>t.infer_text_height())),(t=>e[t]));for(const t of this.items)t.text_height_metric=s}set angle(t){for(const e of this.items)e.angle=t}max_size(){let t=0,e=0;for(const s of this.items){const i=s.size();t=Math.max(t,i.width),e=Math.max(e,i.height)}return{width:t,height:e}}}s.GraphicsBoxes=p,p.__name__=\"GraphicsBoxes\"},\n", " function _(t,e,n,r,l){r();const a=t(11),c=(()=>{try{return\"undefined\"!=typeof OffscreenCanvas&&null!=new OffscreenCanvas(0,0).getContext(\"2d\")}catch(t){return!1}})()?(t,e)=>new OffscreenCanvas(t,e):(t,e)=>{const n=document.createElement(\"canvas\");return n.width=t,n.height=e,n},o=(()=>{const t=c(0,0).getContext(\"2d\");return e=>{t.font=e;const n=t.measureText(\"M\"),r=t.measureText(\"x\"),l=t.measureText(\"\\xc5\\u015ag|\"),c=l.fontBoundingBoxAscent,o=l.fontBoundingBoxDescent;if(null!=c&&null!=o)return{height:c+o,ascent:c,descent:o,cap_height:n.actualBoundingBoxAscent,x_height:r.actualBoundingBoxAscent};const s=l.actualBoundingBoxAscent,u=l.actualBoundingBoxDescent;if(null!=s&&null!=u)return{height:s+u,ascent:s,descent:u,cap_height:n.actualBoundingBoxAscent,x_height:r.actualBoundingBoxAscent};(0,a.unreachable)()}})(),s=(()=>{const t=c(0,0).getContext(\"2d\");return(e,n)=>{t.font=n;const r=t.measureText(e),l=r.actualBoundingBoxAscent,c=r.actualBoundingBoxDescent;if(null!=l&&null!=c)return{width:r.width,height:l+c,ascent:l,descent:c};(0,a.unreachable)()}})(),u=(()=>{const t=document.createElement(\"canvas\"),e=t.getContext(\"2d\");let n=-1,r=-1;return(l,a=1)=>{e.font=l;const{width:c}=e.measureText(\"M\"),o=c*a,s=Math.ceil(o),u=Math.ceil(2*o),i=Math.ceil(1.5*o);n{let e=0;for(let n=0;n<=i;n++)for(let r=0;r{let e=t.length-4;for(let n=u;n>=i;n--)for(let r=0;r{const t=document.createElement(\"canvas\"),e=t.getContext(\"2d\");let n=-1,r=-1;return(l,a,c=1)=>{e.font=a;const{width:o}=e.measureText(\"M\"),s=o*c,u=Math.ceil(s),i=Math.ceil(2*s),f=Math.ceil(1.5*s);(n{let e=0;for(let n=0;n<=f;n++)for(let r=0;r{let e=t.length-4;for(let n=i;n>=f;n--)for(let r=0;r{try{return o(\"normal 10px sans-serif\"),o}catch(t){return u}})(),h=(()=>{try{return s(\"A\",\"normal 10px sans-serif\"),s}catch(t){return i}})(),g=new Map;function d(t){let e=g.get(t);return null==e&&(e={font:f(t),glyphs:new Map},g.set(t,e)),e.font}n.font_metrics=d,n.glyph_metrics=function(t,e){let n=g.get(e);null==n&&(d(e),n=g.get(e));let r=n.glyphs.get(t);return null==r&&(r=h(t,e),n.glyphs.set(t,r)),r},n.parse_css_font_size=function(t){const e=t.match(/^\\s*(\\d+(\\.\\d+)?)(\\w+)\\s*$/);if(null!=e){const[,t,,n]=e,r=Number(t);if(isFinite(r))return{value:r,unit:n}}return null}},\n", " function _(t,s,r,n,i){n();const{sin:e,cos:a}=Math;class h{constructor(t=1,s=0,r=0,n=1,i=0,e=0){this.a=t,this.b=s,this.c=r,this.d=n,this.e=i,this.f=e}toString(){const{a:t,b:s,c:r,d:n,e:i,f:e}=this;return`matrix(${t}, ${s}, ${r}, ${n}, ${i}, ${e})`}static from_DOMMatrix(t){const{a:s,b:r,c:n,d:i,e,f:a}=t;return new h(s,r,n,i,e,a)}to_DOMMatrix(){const{a:t,b:s,c:r,d:n,e:i,f:e}=this;return new DOMMatrix([t,s,r,n,i,e])}clone(){const{a:t,b:s,c:r,d:n,e:i,f:e}=this;return new h(t,s,r,n,i,e)}get is_identity(){const{a:t,b:s,c:r,d:n,e:i,f:e}=this;return 1==t&&0==s&&0==r&&1==n&&0==i&&0==e}apply_point(t){const[s,r]=this.apply(t.x,t.y);return{x:s,y:r}}apply_rect(t){return{p0:this.apply_point(t.p0),p1:this.apply_point(t.p1),p2:this.apply_point(t.p2),p3:this.apply_point(t.p3)}}apply(t,s){const{a:r,b:n,c:i,d:e,e:a,f:h}=this;return[r*t+i*s+a,n*t+e*s+h]}iv_apply(t,s){const{a:r,b:n,c:i,d:e,e:a,f:h}=this,c=t.length;for(let o=0;o{const h={max:4,fit:3,min:2,fixed:1};return h[i]>h[t]};if(\"fixed\"!=n&&\"fixed\"!=s)if(n==s){const n=t,s=_(t/e),r=_(h*e),g=h;Math.abs(i.width-n)+Math.abs(i.height-s)<=Math.abs(i.width-r)+Math.abs(i.height-g)?(t=n,h=s):(t=r,h=g)}else r(n,s)?h=_(t/e):t=_(h*e);else\"fixed\"==n?h=_(t/e):\"fixed\"==s&&(t=_(h*e))}return{width:t,height:h}}measure(i){if(!this.sizing.visible)return{width:0,height:0};const t=i=>\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:i,h=i=>\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:i,e=new s.Sizeable(i).shrink_by(this.sizing.margin).map(t,h),n=this._measure(e),r=this.clip_size(n,e),g=t(r.width),l=h(r.height),a=this.apply_aspect(e,{width:g,height:l});return Object.assign(Object.assign({},n),a)}compute(i={}){const t=this.measure({width:null!=i.width&&this.is_width_expanding()?i.width:1/0,height:null!=i.height&&this.is_height_expanding()?i.height:1/0}),{width:h,height:e}=t,n=new r.BBox({left:0,top:0,width:h,height:e});let s;if(null!=t.inner){const{left:i,top:n,right:g,bottom:l}=t.inner;s=new r.BBox({left:i,top:n,right:h-g,bottom:e-l})}this.set_geometry(n,s)}get xview(){return this.bbox.xview}get yview(){return this.bbox.yview}clip_size(i,t){function h(i,t,h,e){return null==h?h=0:(0,g.isNumber)(h)||(h=Math.round(h.percent*t)),null==e?e=1/0:(0,g.isNumber)(e)||(e=Math.round(e.percent*t)),a(h,l(i,e))}return{width:h(i.width,t.width,this.sizing.min_width,this.sizing.max_width),height:h(i.height,t.height,this.sizing.min_height,this.sizing.max_height)}}has_size_changed(){const{_dirty:i}=this;return this._dirty=!1,i}}h.Layoutable=o,o.__name__=\"Layoutable\";class d extends o{_measure(i){const{width_policy:t,height_policy:h}=this.sizing;return{width:(()=>{const{width:h}=this.sizing;if(i.width==1/0)return null!=h?h:0;switch(t){case\"fixed\":return null!=h?h:0;case\"min\":return null!=h?l(i.width,h):0;case\"fit\":return null!=h?l(i.width,h):i.width;case\"max\":return null!=h?a(i.width,h):i.width}})(),height:(()=>{const{height:t}=this.sizing;if(i.height==1/0)return null!=t?t:0;switch(h){case\"fixed\":return null!=t?t:0;case\"min\":return null!=t?l(i.height,t):0;case\"fit\":return null!=t?l(i.height,t):i.height;case\"max\":return null!=t?a(i.height,t):i.height}})()}}}h.LayoutItem=d,d.__name__=\"LayoutItem\";class u extends o{_measure(i){const t=this._content_size(),h=i.bounded_to(this.sizing.size).bounded_to(t);return{width:(()=>{switch(this.sizing.width_policy){case\"fixed\":return null!=this.sizing.width?this.sizing.width:t.width;case\"min\":return t.width;case\"fit\":return h.width;case\"max\":return Math.max(t.width,h.width)}})(),height:(()=>{switch(this.sizing.height_policy){case\"fixed\":return null!=this.sizing.height?this.sizing.height:t.height;case\"min\":return t.height;case\"fit\":return h.height;case\"max\":return Math.max(t.height,h.height)}})()}}}h.ContentLayoutable=u,u.__name__=\"ContentLayoutable\"},\n", " function _(e,t,s,a,_){a();const r=e(62),n=e(61),g=e(58),i=e(63),c=e(67),h=e(65),l=e(13),o=e(11);class x{constructor(e,t,s,a,_={},r={},n={},g={}){this.in_x_scale=e,this.in_y_scale=t,this.x_range=s,this.y_range=a,this.extra_x_ranges=_,this.extra_y_ranges=r,this.extra_x_scales=n,this.extra_y_scales=g,this._bbox=new h.BBox,(0,o.assert)(null==e.source_range&&null==e.target_range),(0,o.assert)(null==t.source_range&&null==t.target_range),this._configure_scales()}get bbox(){return this._bbox}_get_ranges(e,t){return new Map((0,l.entries)(Object.assign(Object.assign({},t),{default:e})))}_get_scales(e,t,s,a){var _;const g=new Map((0,l.entries)(Object.assign(Object.assign({},t),{default:e}))),h=new Map;for(const[t,l]of s){if(l instanceof c.FactorRange!=e instanceof r.CategoricalScale)throw new Error(`Range ${l.type} is incompatible is Scale ${e.type}`);e instanceof n.LogScale&&l instanceof i.DataRange1d&&(l.scale_hint=\"log\");const s=(null!==(_=g.get(t))&&void 0!==_?_:e).clone();s.setv({source_range:l,target_range:a}),h.set(t,s)}return h}_configure_frame_ranges(){const{bbox:e}=this;this._x_target=new g.Range1d({start:e.left,end:e.right}),this._y_target=new g.Range1d({start:e.bottom,end:e.top})}_configure_scales(){this._configure_frame_ranges(),this._x_ranges=this._get_ranges(this.x_range,this.extra_x_ranges),this._y_ranges=this._get_ranges(this.y_range,this.extra_y_ranges),this._x_scales=this._get_scales(this.in_x_scale,this.extra_x_scales,this._x_ranges,this._x_target),this._y_scales=this._get_scales(this.in_y_scale,this.extra_y_scales,this._y_ranges,this._y_target)}_update_scales(){this._configure_frame_ranges();for(const[,e]of this._x_scales)e.target_range=this._x_target;for(const[,e]of this._y_scales)e.target_range=this._y_target}set_geometry(e){this._bbox=e,this._update_scales()}get x_target(){return this._x_target}get y_target(){return this._y_target}get x_ranges(){return this._x_ranges}get y_ranges(){return this._y_ranges}get x_scales(){return this._x_scales}get y_scales(){return this._y_scales}get x_scale(){return this._x_scales.get(\"default\")}get y_scale(){return this._y_scales.get(\"default\")}get xscales(){return(0,l.to_object)(this.x_scales)}get yscales(){return(0,l.to_object)(this.y_scales)}}s.CartesianFrame=x,x.__name__=\"CartesianFrame\"},\n", " function _(i,s,x,A,o){A(),o(\"Axis\",i(128).Axis),o(\"CategoricalAxis\",i(140).CategoricalAxis),o(\"ContinuousAxis\",i(143).ContinuousAxis),o(\"DatetimeAxis\",i(144).DatetimeAxis),o(\"LinearAxis\",i(145).LinearAxis),o(\"LogAxis\",i(162).LogAxis),o(\"MercatorAxis\",i(165).MercatorAxis)},\n", " function _(t,e,i,s,a){s();const o=t(1);var l;const n=t(129),_=t(130),r=t(131),h=t(132),c=(0,o.__importStar)(t(48)),b=t(20),u=t(24),m=t(123),d=t(9),x=t(13),f=t(8),g=t(120),p=t(67),v=t(133),w=t(113),j=t(11),k=t(8),y=t(134),{abs:z}=Math;class M extends n.GuideRendererView{constructor(){super(...arguments),this._axis_label_view=null,this._major_label_views=new Map}async lazy_initialize(){await super.lazy_initialize(),await this._init_axis_label(),await this._init_major_labels()}async _init_axis_label(){const{axis_label:t}=this.model;if(null!=t){const e=(0,k.isString)(t)?(0,y.parse_delimited_string)(t):t;this._axis_label_view=await(0,w.build_view)(e,{parent:this})}else this._axis_label_view=null}async _init_major_labels(){const{major_label_overrides:t}=this.model;for(const[e,i]of(0,x.entries)(t)){const t=(0,k.isString)(i)?(0,y.parse_delimited_string)(i):i;this._major_label_views.set(e,await(0,w.build_view)(t,{parent:this}))}}update_layout(){this.layout=new m.SideLayout(this.panel,(()=>this.get_size()),!0),this.layout.on_resize((()=>this._coordinates=void 0))}get_size(){const{visible:t,fixed_location:e}=this.model;if(t&&null==e&&this.is_renderable){const{extents:t}=this;return{width:0,height:Math.round(t.tick+t.tick_label+t.axis_label)}}return{width:0,height:0}}get is_renderable(){const[t,e]=this.ranges;return t.is_valid&&e.is_valid}_render(){var t;if(!this.is_renderable)return;const{tick_coords:e,extents:i}=this,s=this.layer.ctx;s.save(),this._draw_rule(s,i),this._draw_major_ticks(s,i,e),this._draw_minor_ticks(s,i,e),this._draw_major_labels(s,i,e),this._draw_axis_label(s,i,e),null===(t=this._paint)||void 0===t||t.call(this,s,i,e),s.restore()}connect_signals(){super.connect_signals();const{axis_label:t,major_label_overrides:e}=this.model.properties;this.on_change(t,(async()=>{var t;null===(t=this._axis_label_view)||void 0===t||t.remove(),await this._init_axis_label()})),this.on_change(e,(async()=>{for(const t of this._major_label_views.values())t.remove();await this._init_major_labels()})),this.connect(this.model.change,(()=>this.plot_view.request_layout()))}get needs_clip(){return null!=this.model.fixed_location}_draw_rule(t,e){if(!this.visuals.axis_line.doit)return;const[i,s]=this.rule_coords,[a,o]=this.coordinates.map_to_screen(i,s),[l,n]=this.normals,[_,r]=this.offsets;this.visuals.axis_line.set_value(t),t.beginPath();for(let e=0;e0?s+i+3:0}_draw_axis_label(t,e,i){if(null==this._axis_label_view||null!=this.model.fixed_location)return;const[s,a]=(()=>{const{bbox:t}=this.layout;switch(this.panel.side){case\"above\":return[t.hcenter,t.bottom];case\"below\":return[t.hcenter,t.top];case\"left\":return[t.right,t.vcenter];case\"right\":return[t.left,t.vcenter]}})(),[o,l]=this.normals,n=e.tick+e.tick_label+this.model.axis_label_standoff,{vertical_align:_,align:r}=this.panel.get_label_text_heuristics(\"parallel\"),h={sx:s+o*n,sy:a+l*n,x_anchor:r,y_anchor:_},c=this._axis_label_view.graphics();c.visuals=this.visuals.axis_label_text.values(),c.angle=this.panel.get_label_angle_heuristic(\"parallel\"),this.plot_view.base_font_size&&(c.base_font_size=this.plot_view.base_font_size),c.position=h,c.align=r,c.paint(t)}_draw_ticks(t,e,i,s,a){if(!a.doit)return;const[o,l]=e,[n,_]=this.coordinates.map_to_screen(o,l),[r,h]=this.normals,[c,b]=this.offsets,[u,m]=[r*(c-i),h*(b-i)],[d,x]=[r*(c+s),h*(b+s)];a.set_value(t),t.beginPath();for(let e=0;et.bbox())),M=(()=>{const[t]=this.ranges;return t.is_reversed?0==this.dimension?(t,e)=>z[t].left-z[e].right:(t,e)=>z[e].top-z[t].bottom:0==this.dimension?(t,e)=>z[e].left-z[t].right:(t,e)=>z[t].top-z[e].bottom})(),{major_label_policy:O}=this.model,T=O.filter(k,z,M),A=[...T.ones()];if(0!=A.length){const t=this.parent.canvas_view.bbox,e=e=>{const i=z[e];if(i.left<0){const t=-i.left,{position:s}=y[e];y[e].position=Object.assign(Object.assign({},s),{sx:s.sx+t})}else if(i.right>t.width){const s=i.right-t.width,{position:a}=y[e];y[e].position=Object.assign(Object.assign({},a),{sx:a.sx-s})}},i=e=>{const i=z[e];if(i.top<0){const t=-i.top,{position:s}=y[e];y[e].position=Object.assign(Object.assign({},s),{sy:s.sy+t})}else if(i.bottom>t.height){const s=i.bottom-t.height,{position:a}=y[e];y[e].position=Object.assign(Object.assign({},a),{sy:a.sy-s})}},s=A[0],a=A[A.length-1];0==this.dimension?(e(s),e(a)):(i(s),i(a))}for(const e of T){y[e].paint(t)}}_tick_extent(){return this.model.major_tick_out}_tick_label_extents(){const t=this.tick_coords.major,e=this.compute_labels(t[this.dimension]),i=this.model.major_label_orientation,s=this.model.major_label_standoff,a=this.visuals.major_label_text;return[this._oriented_labels_extent(e,i,s,a)]}get extents(){const t=this._tick_label_extents();return{tick:this._tick_extent(),tick_labels:t,tick_label:(0,d.sum)(t),axis_label:this._axis_label_extent()}}_oriented_labels_extent(t,e,i,s){if(0==t.length||!s.doit)return 0;const a=this.panel.get_label_angle_heuristic(e);t.visuals=s.values(),t.angle=a,t.base_font_size=this.plot_view.base_font_size;const o=t.max_size(),l=0==this.dimension?o.height:o.width;return l>0?i+l+3:0}get normals(){return this.panel.normals}get dimension(){return this.panel.dimension}compute_labels(t){const e=this.model.formatter.format_graphics(t,this),{_major_label_views:i}=this,s=new Set;for(let a=0;az(l-n)?(t=r(_(a,o),l),s=_(r(a,o),n)):(t=_(a,o),s=r(a,o)),[t,s]}}get rule_coords(){const t=this.dimension,e=(t+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,o=[new Array(2),new Array(2)];return o[t][0]=Math.max(s,i.min),o[t][1]=Math.min(a,i.max),o[t][0]>o[t][1]&&(o[t][0]=o[t][1]=NaN),o[e][0]=this.loc,o[e][1]=this.loc,o}get tick_coords(){const t=this.dimension,e=(t+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,o=this.model.ticker.get_ticks(s,a,i,this.loc),l=o.major,n=o.minor,_=[[],[]],r=[[],[]],[h,c]=[i.min,i.max];for(let i=0;ic||(_[t].push(l[i]),_[e].push(this.loc));for(let i=0;ic||(r[t].push(n[i]),r[e].push(this.loc));return{major:_,minor:r}}get loc(){const{fixed_location:t}=this.model;if(null!=t){if((0,f.isNumber)(t))return t;const[,e]=this.ranges;if(e instanceof p.FactorRange)return e.synthetic(t);(0,j.unreachable)()}const[,e]=this.ranges;switch(this.panel.side){case\"left\":case\"below\":return e.start;case\"right\":case\"above\":return e.end}}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box})}remove(){var t;null===(t=this._axis_label_view)||void 0===t||t.remove();for(const t of this._major_label_views.values())t.remove();super.remove()}has_finished(){if(!super.has_finished())return!1;if(null!=this._axis_label_view&&!this._axis_label_view.has_finished())return!1;for(const t of this._major_label_views.values())if(!t.has_finished())return!1;return!0}}i.AxisView=M,M.__name__=\"AxisView\";class O extends n.GuideRenderer{constructor(t){super(t)}}i.Axis=O,l=O,O.__name__=\"Axis\",l.prototype.default_view=M,l.mixins([[\"axis_\",c.Line],[\"major_tick_\",c.Line],[\"minor_tick_\",c.Line],[\"major_label_\",c.Text],[\"axis_label_\",c.Text]]),l.define((({Any:t,Int:e,Number:i,String:s,Ref:a,Dict:o,Tuple:l,Or:n,Nullable:c,Auto:u})=>({bounds:[n(l(i,i),u),\"auto\"],ticker:[a(_.Ticker)],formatter:[a(r.TickFormatter)],axis_label:[c(n(s,a(v.BaseText))),null],axis_label_standoff:[e,5],major_label_standoff:[e,5],major_label_orientation:[n(b.TickLabelOrientation,i),\"horizontal\"],major_label_overrides:[o(n(s,a(v.BaseText))),{}],major_label_policy:[a(h.LabelingPolicy),()=>new h.AllLabels],major_tick_in:[i,2],major_tick_out:[i,6],minor_tick_in:[i,0],minor_tick_out:[i,4],fixed_location:[c(n(i,t)),null]}))),l.override({axis_line_color:\"black\",major_tick_line_color:\"black\",minor_tick_line_color:\"black\",major_label_text_font_size:\"11px\",major_label_text_align:\"center\",major_label_text_baseline:\"alphabetic\",axis_label_text_font_size:\"13px\",axis_label_text_font_style:\"italic\"})},\n", " function _(e,r,d,n,i){var s;n();const _=e(41);class u extends _.RendererView{}d.GuideRendererView=u,u.__name__=\"GuideRendererView\";class c extends _.Renderer{constructor(e){super(e)}}d.GuideRenderer=c,s=c,c.__name__=\"GuideRenderer\",s.override({level:\"guide\"})},\n", " function _(c,e,n,s,o){s();const r=c(53);class t extends r.Model{constructor(c){super(c)}}n.Ticker=t,t.__name__=\"Ticker\"},\n", " function _(t,o,r,e,c){e();const n=t(53),a=t(120);class m extends n.Model{constructor(t){super(t)}format_graphics(t,o){return this.doFormat(t,o).map((t=>new a.TextBox({text:t})))}compute(t,o){return this.doFormat([t],null!=o?o:{loc:0})[0]}v_compute(t,o){return this.doFormat(t,null!=o?o:{loc:0})}}r.TickFormatter=m,m.__name__=\"TickFormatter\"},\n", " function _(e,n,s,t,i){var c,r;t();const l=e(53),o=e(13),a=e(34),u=e(8),d=e(24);class _ extends l.Model{constructor(e){super(e)}}s.LabelingPolicy=_,_.__name__=\"LabelingPolicy\";class f extends _{constructor(e){super(e)}filter(e,n,s){return e}}s.AllLabels=f,f.__name__=\"AllLabels\";class m extends _{constructor(e){super(e)}filter(e,n,s){const{min_distance:t}=this;let i=null;for(const n of e)null!=i&&s(i,n)({min_distance:[e,5]})));class b extends _{constructor(e){super(e)}get names(){return(0,o.keys)(this.args)}get values(){return(0,o.values)(this.args)}get func(){const e=(0,a.use_strict)(this.code);return new d.GeneratorFunction(\"indices\",\"bboxes\",\"distance\",...this.names,e)}filter(e,n,s){const t=Object.create(null),i=this.func.call(t,e,n,s,...this.values);let c=i.next();if(c.done&&void 0!==c.value){const{value:n}=c;return n instanceof d.Indices?n:void 0===n?e:(0,u.isIterable)(n)?d.Indices.from_indices(e.size,n):d.Indices.all_unset(e.size)}{const n=[];do{n.push(c.value),c=i.next()}while(!c.done);return d.Indices.from_indices(e.size,n)}}}s.CustomLabelingPolicy=b,r=b,b.__name__=\"CustomLabelingPolicy\",r.define((({Unknown:e,String:n,Dict:s})=>({args:[s(e),{}],code:[n,\"\"]})))},\n", " function _(e,s,t,n,a){var _;n();const x=e(53),c=e(42);class i extends c.View{}t.BaseTextView=i,i.__name__=\"BaseTextView\";class o extends x.Model{constructor(e){super(e)}}t.BaseText=o,_=o,o.__name__=\"BaseText\",_.define((({String:e})=>({text:[e]})))},\n", " function _(n,e,t,i,r){i();const s=n(135),l=n(139),d=[{start:\"$$\",end:\"$$\",inline:!1},{start:\"\\\\[\",end:\"\\\\]\",inline:!1},{start:\"\\\\(\",end:\"\\\\)\",inline:!0}];t.parse_delimited_string=function(n){for(const e of d){const t=n.indexOf(e.start),i=t+e.start.length;if(0==t){const t=n.indexOf(e.end,i),r=t;if(t==n.length-e.end.length)return new s.TeX({text:n.slice(i,r),inline:e.inline});break}}return new l.PlainText({text:n})}},\n", " function _(t,e,s,i,n){var o,r,a;i();const h=t(8),_=t(136),l=t(22),c=t(120),d=t(121),u=t(122),g=t(65),p=t(133),x=t(137);class m extends p.BaseTextView{constructor(){super(...arguments),this._position={sx:0,sy:0},this.align=\"left\",this._x_anchor=\"left\",this._y_anchor=\"center\",this._base_font_size=13,this.font_size_scale=1,this.svg_image=null}graphics(){return this}infer_text_height(){return\"ascent_descent\"}set base_font_size(t){null!=t&&(this._base_font_size=t)}get base_font_size(){return this._base_font_size}get has_image_loaded(){return null!=this.svg_image}_rect(){const{width:t,height:e}=this._size(),{x:s,y:i}=this._computed_position();return new g.BBox({x:s,y:i,width:t,height:e}).rect}set position(t){this._position=t}get position(){return this._position}get text(){return this.model.text}get provider(){return x.default_provider}async lazy_initialize(){await super.lazy_initialize(),\"not_started\"==this.provider.status&&await this.provider.fetch(),\"not_started\"!=this.provider.status&&\"loading\"!=this.provider.status||this.provider.ready.connect((()=>this.load_image())),\"loaded\"==this.provider.status&&await this.load_image()}connect_signals(){super.connect_signals(),this.on_change(this.model.properties.text,(()=>this.load_image()))}set visuals(t){const e=t.color,s=t.alpha,i=t.font_style;let n=t.font_size;const o=t.font,{font_size_scale:r,_base_font_size:a}=this,h=(0,d.parse_css_font_size)(n);if(null!=h){let{value:t,unit:e}=h;t*=r,\"em\"==e&&a&&(t*=a,e=\"px\"),n=`${t}${e}`}const _=`${i} ${n} ${o}`;this.font=_,this.color=(0,l.color2css)(e,s)}_computed_position(){const{width:t,height:e}=this._size(),{sx:s,sy:i,x_anchor:n=this._x_anchor,y_anchor:o=this._y_anchor}=this.position;return{x:s-(()=>{if((0,h.isNumber)(n))return n*t;switch(n){case\"left\":return 0;case\"center\":return.5*t;case\"right\":return t}})(),y:i-(()=>{if((0,h.isNumber)(o))return o*e;switch(o){case\"top\":return 0;case\"center\":return.5*e;case\"bottom\":return e;case\"baseline\":return.5*e}})()}}size(){const{width:t,height:e}=this._size(),{angle:s}=this;if(s){const i=Math.cos(Math.abs(s)),n=Math.sin(Math.abs(s));return{width:Math.abs(t*i+e*n),height:Math.abs(t*n+e*i)}}return{width:t,height:e}}get_text_dimensions(){return{width:(0,c.text_width)(this.model.text,this.font),height:(0,d.font_metrics)(this.font).height}}get_image_dimensions(){var t,e,s,i;const n=parseFloat(null!==(e=null===(t=this.svg_element.getAttribute(\"height\"))||void 0===t?void 0:t.replace(/([A-z])/g,\"\"))&&void 0!==e?e:\"0\"),o=parseFloat(null!==(i=null===(s=this.svg_element.getAttribute(\"width\"))||void 0===s?void 0:s.replace(/([A-z])/g,\"\"))&&void 0!==i?i:\"0\");return{width:(0,d.font_metrics)(this.font).x_height*o,height:(0,d.font_metrics)(this.font).x_height*n}}_size(){return this.has_image_loaded?this.get_image_dimensions():this.get_text_dimensions()}bbox(){const{p0:t,p1:e,p2:s,p3:i}=this.rect(),n=Math.min(t.x,e.x,s.x,i.x),o=Math.min(t.y,e.y,s.y,i.y),r=Math.max(t.x,e.x,s.x,i.x),a=Math.max(t.y,e.y,s.y,i.y);return new g.BBox({left:n,right:r,top:o,bottom:a})}rect(){const t=this._rect(),{angle:e}=this;if(e){const{sx:s,sy:i}=this.position,n=new u.AffineTransform;return n.translate(s,i),n.rotate(e),n.translate(-s,-i),n.apply_rect(t)}return t}paint_rect(t){const{p0:e,p1:s,p2:i,p3:n}=this.rect();t.save(),t.strokeStyle=\"red\",t.lineWidth=1,t.beginPath();const{round:o}=Math;t.moveTo(o(e.x),o(e.y)),t.lineTo(o(s.x),o(s.y)),t.lineTo(o(i.x),o(i.y)),t.lineTo(o(n.x),o(n.y)),t.closePath(),t.stroke(),t.restore()}paint_bbox(t){const{x:e,y:s,width:i,height:n}=this.bbox();t.save(),t.strokeStyle=\"blue\",t.lineWidth=1,t.beginPath();const{round:o}=Math;t.moveTo(o(e),o(s)),t.lineTo(o(e),o(s+n)),t.lineTo(o(e+i),o(s+n)),t.lineTo(o(e+i),o(s)),t.closePath(),t.stroke(),t.restore()}async load_image(){if(null==this.provider.MathJax)return null;const t=this._process_text(this.model.text);if(null==t)return this._has_finished=!0,null;const e=t.children[0];this.svg_element=e,e.setAttribute(\"font\",this.font),e.setAttribute(\"stroke\",this.color);const s=e.outerHTML,i=new Blob([s],{type:\"image/svg+xml\"}),n=URL.createObjectURL(i);try{this.svg_image=await(0,_.load_image)(n)}finally{URL.revokeObjectURL(n)}return this.parent.request_layout(),this.svg_image}paint(t){t.save();const{sx:e,sy:s}=this.position;this.angle&&(t.translate(e,s),t.rotate(this.angle),t.translate(-e,-s));const{x:i,y:n}=this._computed_position();if(null!=this.svg_image){const{width:e,height:s}=this.get_image_dimensions();t.drawImage(this.svg_image,i,n,e,s)}else t.fillStyle=this.color,t.font=this.font,t.textAlign=\"left\",t.textBaseline=\"alphabetic\",t.fillText(this.model.text,i,n+(0,d.font_metrics)(this.font).ascent);t.restore(),this._has_finished||\"failed\"!=this.provider.status&&!this.has_image_loaded||(this._has_finished=!0,this.parent.notify_finished_after_paint())}}s.MathTextView=m,m.__name__=\"MathTextView\";class f extends p.BaseText{constructor(t){super(t)}}s.MathText=f,f.__name__=\"MathText\";class v extends m{_process_text(t){}}s.AsciiView=v,v.__name__=\"AsciiView\";class y extends f{constructor(t){super(t)}}s.Ascii=y,o=y,y.__name__=\"Ascii\",o.prototype.default_view=v;class w extends m{_process_text(t){var e;return null===(e=this.provider.MathJax)||void 0===e?void 0:e.mathml2svg(t.trim())}}s.MathMLView=w,w.__name__=\"MathMLView\";class b extends f{constructor(t){super(t)}}s.MathML=b,r=b,b.__name__=\"MathML\",r.prototype.default_view=w;class M extends m{_process_text(t){var e;return null===(e=this.provider.MathJax)||void 0===e?void 0:e.tex2svg(t,void 0,this.model.macros)}}s.TeXView=M,M.__name__=\"TeXView\";class T extends f{constructor(t){super(t)}}s.TeX=T,a=T,T.__name__=\"TeX\",a.prototype.default_view=M,a.define((({Boolean:t,Number:e,String:s,Dict:i,Tuple:n,Or:o})=>({macros:[i(o(s,n(s,e))),{}],inline:[t,!1]})))},\n", " function _(i,e,t,s,o){s();const a=i(19);t.load_image=async function(i,e){return new n(i,e).promise};class n{constructor(i,e={}){this._image=new Image,this._finished=!1;const{attempts:t=1,timeout:s=1}=e;this.promise=new Promise(((o,n)=>{this._image.crossOrigin=\"anonymous\";let r=0;this._image.onerror=()=>{if(++r==t){const s=`unable to load ${i} image after ${t} attempts`;if(a.logger.warn(s),null==this._image.crossOrigin)return void(null!=e.failed&&e.failed());a.logger.warn(`attempting to load ${i} without a cross origin policy`),this._image.crossOrigin=null,r=0}setTimeout((()=>this._image.src=i),s)},this._image.onload=()=>{this._finished=!0,null!=e.loaded&&e.loaded(this._image),o(this._image)},this._image.src=i}))}get finished(){return this._finished}get image(){if(this._finished)return this._image;throw new Error(\"not loaded yet\")}}t.ImageLoader=n,n.__name__=\"ImageLoader\"},\n", " function _(t,e,a,s,n){var r=this&&this.__createBinding||(Object.create?function(t,e,a,s){void 0===s&&(s=a),Object.defineProperty(t,s,{enumerable:!0,get:function(){return e[a]}})}:function(t,e,a,s){void 0===s&&(s=a),t[s]=e[a]}),i=this&&this.__setModuleDefault||(Object.create?function(t,e){Object.defineProperty(t,\"default\",{enumerable:!0,value:e})}:function(t,e){t.default=e}),d=this&&this.__importStar||function(t){if(t&&t.__esModule)return t;var e={};if(null!=t)for(var a in t)\"default\"!==a&&Object.prototype.hasOwnProperty.call(t,a)&&r(e,t,a);return i(e,t),e};s();const o=t(15),u=t(138);class c{constructor(){this.ready=new o.Signal0(this,\"ready\"),this.status=\"not_started\"}}a.MathJaxProvider=c,c.__name__=\"MathJaxProvider\";class h extends c{get MathJax(){return null}async fetch(){this.status=\"failed\"}}a.NoProvider=h,h.__name__=\"NoProvider\";class l extends c{get MathJax(){return\"undefined\"!=typeof MathJax?MathJax:null}async fetch(){const t=document.createElement(\"script\");t.src=\"https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-svg.js\",t.onload=()=>{this.status=\"loaded\",this.ready.emit()},t.onerror=()=>{this.status=\"failed\"},this.status=\"loading\",document.head.appendChild(t)}}a.CDNProvider=l,l.__name__=\"CDNProvider\";class _ extends c{get MathJax(){return this._mathjax}async fetch(){this.status=\"loading\";try{const e=await(0,u.load_module)(Promise.resolve().then((()=>d(t(515)))));this._mathjax=e,this.status=\"loaded\",this.ready.emit()}catch(t){this.status=\"failed\"}}}a.BundleProvider=_,_.__name__=\"BundleProvider\",a.default_provider=new _},\n", " function _(n,r,o,t,c){t(),o.load_module=async function(n){try{return await n}catch(n){if((r=n)instanceof Error&&\"code\"in r&&\"MODULE_NOT_FOUND\"===n.code)return null;throw n}var r}},\n", " function _(e,t,i,n,s){var a;n();const x=e(133),_=e(120);class l extends x.BaseTextView{initialize(){super.initialize(),this._has_finished=!0}graphics(){return new _.TextBox({text:this.model.text})}}i.PlainTextView=l,l.__name__=\"PlainTextView\";class r extends x.BaseText{constructor(e){super(e)}}i.PlainText=r,a=r,r.__name__=\"PlainText\",a.prototype.default_view=l},\n", " function _(t,s,o,e,i){e();const r=t(1);var a;const l=t(128),_=t(141),n=t(142),p=(0,r.__importStar)(t(48)),c=t(20),h=t(120),m=t(8);class u extends l.AxisView{_paint(t,s,o){this._draw_group_separators(t,s,o)}_draw_group_separators(t,s,o){const[e]=this.ranges,[i,r]=this.computed_bounds;if(!e.tops||e.tops.length<2||!this.visuals.separator_line.doit)return;const a=this.dimension,l=(a+1)%2,_=[[],[]];let n=0;for(let t=0;ti&&pnew h.GraphicsBoxes(t.map((t=>(0,m.isString)(t)?new h.TextBox({text:t}):t))),_=t=>l(this.model.formatter.doFormat(t,this));if(1==t.levels){const t=_(i.major);a.push([t,r.major,this.model.major_label_orientation,this.visuals.major_label_text])}else if(2==t.levels){const t=_(i.major.map((t=>t[1])));a.push([t,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([l(i.tops),r.tops,this.model.group_label_orientation,this.visuals.group_text])}else if(3==t.levels){const t=_(i.major.map((t=>t[2]))),s=i.mids.map((t=>t[1]));a.push([t,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([l(s),r.mids,this.model.subgroup_label_orientation,this.visuals.subgroup_text]),a.push([l(i.tops),r.tops,this.model.group_label_orientation,this.visuals.group_text])}return a}get tick_coords(){const t=this.dimension,s=(t+1)%2,[o]=this.ranges,[e,i]=this.computed_bounds,r=this.model.ticker.get_ticks(e,i,o,this.loc),a={major:[[],[]],mids:[[],[]],tops:[[],[]],minor:[[],[]]};return a.major[t]=r.major,a.major[s]=r.major.map((()=>this.loc)),3==o.levels&&(a.mids[t]=r.mids,a.mids[s]=r.mids.map((()=>this.loc))),o.levels>1&&(a.tops[t]=r.tops,a.tops[s]=r.tops.map((()=>this.loc))),a}}o.CategoricalAxisView=u,u.__name__=\"CategoricalAxisView\";class d extends l.Axis{constructor(t){super(t)}}o.CategoricalAxis=d,a=d,d.__name__=\"CategoricalAxis\",a.prototype.default_view=u,a.mixins([[\"separator_\",p.Line],[\"group_\",p.Text],[\"subgroup_\",p.Text]]),a.define((({Number:t,Or:s})=>({group_label_orientation:[s(c.TickLabelOrientation,t),\"parallel\"],subgroup_label_orientation:[s(c.TickLabelOrientation,t),\"parallel\"]}))),a.override({ticker:()=>new _.CategoricalTicker,formatter:()=>new n.CategoricalTickFormatter,separator_line_color:\"lightgrey\",separator_line_width:2,group_text_font_style:\"bold\",group_text_font_size:\"11px\",group_text_color:\"grey\",subgroup_text_font_style:\"bold\",subgroup_text_font_size:\"11px\"})},\n", " function _(t,c,o,s,e){s();const r=t(130);class i extends r.Ticker{constructor(t){super(t)}get_ticks(t,c,o,s){var e,r;return{major:this._collect(o.factors,o,t,c),minor:[],tops:this._collect(null!==(e=o.tops)&&void 0!==e?e:[],o,t,c),mids:this._collect(null!==(r=o.mids)&&void 0!==r?r:[],o,t,c)}}_collect(t,c,o,s){const e=[];for(const r of t){const t=c.synthetic(r);t>o&&tnew _.DatetimeTicker,formatter:()=>new m.DatetimeTickFormatter})},\n", " function _(e,i,s,n,r){var t;n();const a=e(143),o=e(146),c=e(147);class _ extends a.ContinuousAxisView{}s.LinearAxisView=_,_.__name__=\"LinearAxisView\";class u extends a.ContinuousAxis{constructor(e){super(e)}}s.LinearAxis=u,t=u,u.__name__=\"LinearAxis\",t.prototype.default_view=_,t.override({ticker:()=>new c.BasicTicker,formatter:()=>new o.BasicTickFormatter})},\n", " function _(i,t,e,n,o){var r;n();const s=i(131),c=i(34);function _(i){let t=\"\";for(const e of i)t+=\"-\"==e?\"\\u2212\":e;return t}e.unicode_replace=_;class a extends s.TickFormatter{constructor(i){super(i),this.last_precision=3}get scientific_limit_low(){return 10**this.power_limit_low}get scientific_limit_high(){return 10**this.power_limit_high}_need_sci(i){if(!this.use_scientific)return!1;const{scientific_limit_high:t}=this,{scientific_limit_low:e}=this,n=i.length<2?0:Math.abs(i[1]-i[0])/1e4;for(const o of i){const i=Math.abs(o);if(!(i<=n)&&(i>=t||i<=e))return!0}return!1}_format_with_precision(i,t,e){return t?i.map((i=>_(i.toExponential(e)))):i.map((i=>_((0,c.to_fixed)(i,e))))}_auto_precision(i,t){const e=new Array(i.length),n=this.last_precision<=15;i:for(let o=this.last_precision;n?o<=15:o>=1;n?o++:o--){if(t){e[0]=i[0].toExponential(o);for(let t=1;t({precision:[n(t,e),\"auto\"],use_scientific:[i,!0],power_limit_high:[t,5],power_limit_low:[t,-3]})))},\n", " function _(c,e,s,i,n){i();const r=c(148);class t extends r.AdaptiveTicker{constructor(c){super(c)}}s.BasicTicker=t,t.__name__=\"BasicTicker\"},\n", " function _(t,i,a,s,e){var n;s();const r=t(149),_=t(9),l=t(10);class h extends r.ContinuousTicker{constructor(t){super(t)}get_min_interval(){return this.min_interval}get_max_interval(){var t;return null!==(t=this.max_interval)&&void 0!==t?t:1/0}initialize(){super.initialize();const t=(0,_.nth)(this.mantissas,-1)/this.base,i=(0,_.nth)(this.mantissas,0)*this.base;this.extended_mantissas=[t,...this.mantissas,i],this.base_factor=0===this.get_min_interval()?1:this.get_min_interval()}get_interval(t,i,a){const s=i-t,e=this.get_ideal_interval(t,i,a),n=Math.floor((0,l.log)(e/this.base_factor,this.base)),r=this.base**n*this.base_factor,h=this.extended_mantissas,m=h.map((t=>Math.abs(a-s/(t*r)))),v=h[(0,_.argmin)(m)]*r;return(0,l.clamp)(v,this.get_min_interval(),this.get_max_interval())}}a.AdaptiveTicker=h,n=h,h.__name__=\"AdaptiveTicker\",n.define((({Number:t,Array:i,Nullable:a})=>({base:[t,10],mantissas:[i(t),[1,2,5]],min_interval:[t,0],max_interval:[a(t),null]})))},\n", " function _(t,n,i,s,e){var o;s();const r=t(130),c=t(9);class _ extends r.Ticker{constructor(t){super(t)}get_ticks(t,n,i,s){return this.get_ticks_no_defaults(t,n,s,this.desired_num_ticks)}get_ticks_no_defaults(t,n,i,s){const e=this.get_interval(t,n,s),o=Math.floor(t/e),r=Math.ceil(n/e);let _;_=isFinite(o)&&isFinite(r)?(0,c.range)(o,r+1):[];const u=_.map((t=>t*e)).filter((i=>t<=i&&i<=n)),a=this.num_minor_ticks,f=[];if(a>0&&u.length>0){const i=e/a,s=(0,c.range)(0,a).map((t=>t*i));for(const i of s.slice(1)){const s=u[0]-i;t<=s&&s<=n&&f.push(s)}for(const i of u)for(const e of s){const s=i+e;t<=s&&s<=n&&f.push(s)}}return{major:u,minor:f}}get_ideal_interval(t,n,i){return(n-t)/i}}i.ContinuousTicker=_,o=_,_.__name__=\"ContinuousTicker\",o.define((({Int:t})=>({num_minor_ticks:[t,5],desired_num_ticks:[t,6]})))},\n", " function _(s,t,e,n,i){n();var r;const o=(0,s(1).__importDefault)(s(151)),a=s(131),c=s(19),u=s(152),m=s(9),h=s(8);function d(s){return(0,o.default)(s,\"%Y %m %d %H %M %S\").split(/\\s+/).map((s=>parseInt(s,10)))}function l(s,t){if((0,h.isFunction)(t))return t(s);{const e=(0,u.sprintf)(\"$1%06d\",function(s){return Math.round(s/1e3%1*1e6)}(s));return-1==(t=t.replace(/((^|[^%])(%%)*)%f/,e)).indexOf(\"%\")?t:(0,o.default)(s,t)}}const f=[\"microseconds\",\"milliseconds\",\"seconds\",\"minsec\",\"minutes\",\"hourmin\",\"hours\",\"days\",\"months\",\"years\"];class _ extends a.TickFormatter{constructor(s){super(s),this.strip_leading_zeros=!0}initialize(){super.initialize(),this._update_width_formats()}_update_width_formats(){const s=+(0,o.default)(new Date),t=function(t){const e=t.map((t=>l(s,t).length)),n=(0,m.sort_by)((0,m.zip)(e,t),(([s])=>s));return(0,m.unzip)(n)};this._width_formats={microseconds:t(this.microseconds),milliseconds:t(this.milliseconds),seconds:t(this.seconds),minsec:t(this.minsec),minutes:t(this.minutes),hourmin:t(this.hourmin),hours:t(this.hours),days:t(this.days),months:t(this.months),years:t(this.years)}}_get_resolution_str(s,t){const 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c.AdaptiveTicker({mantissas:[1,2,4,6,8,12],base:24,min_interval:T.ONE_HOUR,max_interval:12*T.ONE_HOUR,num_minor_ticks:0}),new _.DaysTicker({days:(0,t.range)(1,32)}),new _.DaysTicker({days:(0,t.range)(1,31,3)}),new _.DaysTicker({days:[1,8,15,22]}),new _.DaysTicker({days:[1,15]}),new k.MonthsTicker({months:(0,t.range)(0,12,1)}),new k.MonthsTicker({months:(0,t.range)(0,12,2)}),new k.MonthsTicker({months:(0,t.range)(0,12,4)}),new k.MonthsTicker({months:(0,t.range)(0,12,6)}),new o.YearsTicker({})]})},\n", " function _(t,e,i,r,s){var n;r();const _=t(149),a=t(9);class l extends _.ContinuousTicker{constructor(t){super(t)}get min_intervals(){return this.tickers.map((t=>t.get_min_interval()))}get max_intervals(){return this.tickers.map((t=>t.get_max_interval()))}get_min_interval(){return this.min_intervals[0]}get_max_interval(){return this.max_intervals[0]}get_best_ticker(t,e,i){const 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r=[],s=n;for(;r.push((0,o.copy_date)(s)),s.setUTCFullYear(s.getUTCFullYear()+1),!(s>a););return r}(t,e),s=this.months;return{major:(0,l.concat)(r.map((t=>s.map((e=>{const n=(0,o.copy_date)(t);return n.setUTCMonth(e),n}))))).map((t=>t.getTime())).filter((n=>t<=n&&n<=e)),minor:[]}}}n.MonthsTicker=_,s=_,_.__name__=\"MonthsTicker\",s.define((({Int:t,Array:e})=>({months:[e(t),[]]})))},\n", " function _(e,t,a,i,r){i();const n=e(147),_=e(158),s=e(159);class c extends _.SingleIntervalTicker{constructor(e){super(e)}initialize(){super.initialize(),this.interval=s.ONE_YEAR,this.basic_ticker=new n.BasicTicker({num_minor_ticks:0})}get_ticks_no_defaults(e,t,a,i){const r=(0,s.last_year_no_later_than)(new Date(e)).getUTCFullYear(),n=(0,s.last_year_no_later_than)(new Date(t)).getUTCFullYear();return{major:this.basic_ticker.get_ticks_no_defaults(r,n,a,i).major.map((e=>Date.UTC(e,0,1))).filter((a=>e<=a&&a<=t)),minor:[]}}}a.YearsTicker=c,c.__name__=\"YearsTicker\"},\n", " function _(e,o,i,s,t){var 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i.AdaptiveTicker{constructor(t){super(t)}get_ticks_no_defaults(t,o,e,s){const n=this.num_minor_ticks,r=[],i=this.base,c=Math.log(t)/Math.log(i),f=Math.log(o)/Math.log(i),l=f-c;let h;if(isFinite(l))if(l<2){const e=this.get_interval(t,o,s),i=Math.floor(t/e),c=Math.ceil(o/e);if(h=(0,a.range)(i,c+1).filter((t=>0!=t)).map((t=>t*e)).filter((e=>t<=e&&e<=o)),n>0&&h.length>0){const t=e/n,o=(0,a.range)(0,n).map((o=>o*t));for(const t of o.slice(1))r.push(h[0]-t);for(const t of h)for(const e of o)r.push(t+e)}}else{const t=Math.ceil(.999999*c),o=Math.floor(1.000001*f),e=Math.ceil((o-t)/9);if(h=(0,a.range)(t-1,o+1,e).map((t=>i**t)),n>0&&h.length>0){const t=i**e/n,o=(0,a.range)(1,n+1).map((o=>o*t));for(const t of o)r.push(h[0]/t);r.push(h[0]);for(const t of h)for(const e of o)r.push(t*e)}}else h=[];return{major:h.filter((e=>t<=e&&e<=o)),minor:r.filter((e=>t<=e&&e<=o))}}}e.LogTicker=c,r=c,c.__name__=\"LogTicker\",r.override({mantissas:[1,5]})},\n", " function _(e,r,t,i,a){var o;i();const s=e(128),c=e(145),n=e(166),_=e(167);class x extends s.AxisView{}t.MercatorAxisView=x,x.__name__=\"MercatorAxisView\";class d extends c.LinearAxis{constructor(e){super(e)}}t.MercatorAxis=d,o=d,d.__name__=\"MercatorAxis\",o.prototype.default_view=x,o.override({ticker:()=>new _.MercatorTicker({dimension:\"lat\"}),formatter:()=>new n.MercatorTickFormatter({dimension:\"lat\"})})},\n", " function _(r,t,e,o,n){var i;o();const c=r(146),s=r(20),a=r(78);class l extends c.BasicTickFormatter{constructor(r){super(r)}doFormat(r,t){if(null==this.dimension)throw new Error(\"MercatorTickFormatter.dimension not configured\");if(0==r.length)return[];const e=r.length,o=new Array(e);if(\"lon\"==this.dimension)for(let n=0;n({dimension:[r(s.LatLon),null]})))},\n", " function _(t,o,n,s,r){var e;s();const i=t(147),c=t(20),_=t(78);class a extends i.BasicTicker{constructor(t){super(t)}get_ticks_no_defaults(t,o,n,s){if(null==this.dimension)throw new Error(`${this}.dimension wasn't configured`);return[t,o]=(0,_.clip_mercator)(t,o,this.dimension),\"lon\"==this.dimension?this._get_ticks_lon(t,o,n,s):this._get_ticks_lat(t,o,n,s)}_get_ticks_lon(t,o,n,s){const[r]=_.wgs84_mercator.invert(t,n),[e,i]=_.wgs84_mercator.invert(o,n),c=super.get_ticks_no_defaults(r,e,n,s),a=[];for(const t of c.major)if((0,_.in_bounds)(t,\"lon\")){const[o]=_.wgs84_mercator.compute(t,i);a.push(o)}const m=[];for(const t of c.minor)if((0,_.in_bounds)(t,\"lon\")){const[o]=_.wgs84_mercator.compute(t,i);m.push(o)}return{major:a,minor:m}}_get_ticks_lat(t,o,n,s){const[,r]=_.wgs84_mercator.invert(n,t),[e,i]=_.wgs84_mercator.invert(n,o),c=super.get_ticks_no_defaults(r,i,n,s),a=[];for(const t of c.major)if((0,_.in_bounds)(t,\"lat\")){const[,o]=_.wgs84_mercator.compute(e,t);a.push(o)}const m=[];for(const t of c.minor)if((0,_.in_bounds)(t,\"lat\")){const[,o]=_.wgs84_mercator.compute(e,t);m.push(o)}return{major:a,minor:m}}}n.MercatorTicker=a,e=a,a.__name__=\"MercatorTicker\",e.define((({Nullable:t})=>({dimension:[t(c.LatLon),null]})))},\n", " function _(e,i,r,c,k){c(),k(\"AdaptiveTicker\",e(148).AdaptiveTicker),k(\"BasicTicker\",e(147).BasicTicker),k(\"CategoricalTicker\",e(141).CategoricalTicker),k(\"CompositeTicker\",e(156).CompositeTicker),k(\"ContinuousTicker\",e(149).ContinuousTicker),k(\"DatetimeTicker\",e(155).DatetimeTicker),k(\"DaysTicker\",e(157).DaysTicker),k(\"FixedTicker\",e(169).FixedTicker),k(\"LogTicker\",e(164).LogTicker),k(\"MercatorTicker\",e(167).MercatorTicker),k(\"MonthsTicker\",e(160).MonthsTicker),k(\"SingleIntervalTicker\",e(158).SingleIntervalTicker),k(\"Ticker\",e(130).Ticker),k(\"YearsTicker\",e(161).YearsTicker),k(\"BinnedTicker\",e(170).BinnedTicker)},\n", " function _(r,t,e,i,n){var s;i();const _=r(149);class c extends 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r;return e[(0,a.left_edge_index)(n,o.binning)]}}i.ScanningColorMapper=c,c.__name__=\"ScanningColorMapper\"},\n", " function _(t,e,o,n,s){var l;n();const c=t(173),i=t(175),a=t(9),h=t(8);class r extends c.ColorMapper{constructor(t){super(t),this._scan_data=null}connect_signals(){super.connect_signals();const t=()=>{for(const[t]of this.domain)this.connect(t.view.change,(()=>this.update_data())),this.connect(t.data_source.selected.change,(()=>this.update_data()))};this.connect(this.properties.domain.change,(()=>t())),t()}update_data(){const{domain:t,palette:e}=this,o=[...this._collect(t)];this._scan_data=this.scan(o,e.length),this.metrics_change.emit(),this.change.emit()}get metrics(){return null==this._scan_data&&this.update_data(),this._scan_data}*_collect(t){for(const[e,o]of t)for(const t of(0,h.isArray)(o)?o:[o]){let o=e.data_source.get_column(t);o=e.view.indices.select(o);const n=e.view.masked,s=e.data_source.selected.indices;let l;if(null!=n&&s.length>0?l=(0,a.intersection)([...n],s):null!=n?l=[...n]:s.length>0&&(l=s),null!=l&&(o=(0,a.map)(l,(t=>o[t]))),o.length>0&&!(0,h.isNumber)(o[0]))for(const t of o)yield*t;else yield*o}}_v_compute(t,e,o,n){const{nan_color:s}=n;let{low_color:l,high_color:c}=n;null==l&&(l=o[0]),null==c&&(c=o[o.length-1]);const{domain:i}=this,h=(0,a.is_empty)(i)?t:[...this._collect(i)];this._scan_data=this.scan(h,o.length),this.metrics_change.emit();for(let n=0,i=t.length;n({high:[a(t),null],low:[a(t),null],high_color:[a(n),null],low_color:[a(n),null],domain:[c(l(o(i.GlyphRenderer),s(e,c(e)))),[]]})))},\n", " function _(e,r,t,n,o){var a;n();const c=e(174),i=e(15),_=e(24),l=e(22),s=e(27);function p(e){return(0,l.encode_rgba)((0,l.color2rgba)(e))}function u(e){const r=new Uint32Array(e.length);for(let t=0,n=e.length;te))),r}get rgba_mapper(){const e=this,r=u(this.palette),t=this._colors(p);return{v_compute(n){const o=new _.ColorArray(n.length);return e._v_compute(n,o,r,t),new Uint8ClampedArray((0,s.to_big_endian)(o).buffer)}}}_colors(e){return{nan_color:e(this.nan_color)}}}t.ColorMapper=h,a=h,h.__name__=\"ColorMapper\",a.define((({Color:e,Array:r})=>({palette:[r(e)],nan_color:[e,\"gray\"]})))},\n", " function _(r,e,n,s,o){s();const p=r(56);class t extends p.Transform{constructor(r){super(r)}compute(r){throw new Error(\"mapping single values is not supported\")}}n.Mapper=t,t.__name__=\"Mapper\"},\n", " function _(e,t,i,s,l){var h;s();const n=e(176),o=e(177),a=e(186),c=e(187),_=e(189),r=e(179),d=e(70),p=e(190),g=e(24),u=e(12),y=e(13),m=e(113),v=e(67),f={fill:{},line:{}},w={fill:{fill_alpha:.3,fill_color:\"grey\"},line:{line_alpha:.3,line_color:\"grey\"}},b={fill:{fill_alpha:.2},line:{}},V={fill:{},line:{}},x={fill:{fill_alpha:.2},line:{}};class G extends n.DataRendererView{get glyph_view(){return this.glyph}async lazy_initialize(){var e;await super.lazy_initialize();const t=this.model.glyph;this.glyph=await this.build_glyph_view(t);const i=\"fill\"in this.glyph.visuals,s=\"line\"in this.glyph.visuals,l=Object.assign({},t.attributes);function h(e){const h=(0,y.clone)(l);return i&&(0,y.extend)(h,e.fill),s&&(0,y.extend)(h,e.line),new t.constructor(h)}function n(e,t){return t instanceof r.Glyph?t:h(\"auto\"==t?e:{fill:{},line:{}})}delete l.id;let{selection_glyph:o,nonselection_glyph:a,hover_glyph:c,muted_glyph:_}=this.model;o=n(f,o),this.selection_glyph=await this.build_glyph_view(o),a=n(b,a),this.nonselection_glyph=await this.build_glyph_view(a),c=n(V,c),this.hover_glyph=await this.build_glyph_view(c),_=n(x,_),this.muted_glyph=await this.build_glyph_view(_);const d=n(w,\"auto\");this.decimated_glyph=await this.build_glyph_view(d),this.selection_glyph.set_base(this.glyph),this.nonselection_glyph.set_base(this.glyph),null===(e=this.hover_glyph)||void 0===e||e.set_base(this.glyph),this.muted_glyph.set_base(this.glyph),this.decimated_glyph.set_base(this.glyph),this.set_data()}async build_glyph_view(e){return(0,m.build_view)(e,{parent:this})}remove(){var e;this.glyph.remove(),this.selection_glyph.remove(),this.nonselection_glyph.remove(),null===(e=this.hover_glyph)||void 0===e||e.remove(),this.muted_glyph.remove(),this.decimated_glyph.remove(),super.remove()}connect_signals(){super.connect_signals();const e=()=>this.request_render(),t=()=>this.update_data();this.connect(this.model.change,e),this.connect(this.glyph.model.change,t),this.connect(this.selection_glyph.model.change,t),this.connect(this.nonselection_glyph.model.change,t),null!=this.hover_glyph&&this.connect(this.hover_glyph.model.change,t),this.connect(this.muted_glyph.model.change,t),this.connect(this.decimated_glyph.model.change,t),this.connect(this.model.data_source.change,t),this.connect(this.model.data_source.streaming,t),this.connect(this.model.data_source.patching,(e=>this.update_data(e))),this.connect(this.model.data_source.selected.change,e),this.connect(this.model.data_source._select,e),null!=this.hover_glyph&&this.connect(this.model.data_source.inspect,e),this.connect(this.model.properties.view.change,t),this.connect(this.model.view.properties.indices.change,t),this.connect(this.model.view.properties.masked.change,(()=>this.set_visuals())),this.connect(this.model.properties.visible.change,(()=>this.plot_view.invalidate_dataranges=!0));const{x_ranges:i,y_ranges:s}=this.plot_view.frame;for(const[,e]of i)e instanceof v.FactorRange&&this.connect(e.change,t);for(const[,e]of s)e instanceof v.FactorRange&&this.connect(e.change,t);const{transformchange:l,exprchange:h}=this.model.glyph;this.connect(l,t),this.connect(h,t)}_update_masked_indices(){const e=this.glyph.mask_data();return this.model.view.masked=e,e}update_data(e){this.set_data(e),this.request_render()}set_data(e){const t=this.model.data_source;this.all_indices=this.model.view.indices;const{all_indices:i}=this;this.glyph.set_data(t,i,e),this.set_visuals(),this._update_masked_indices();const{lod_factor:s}=this.plot_model,l=this.all_indices.count;this.decimated=new g.Indices(l);for(let e=0;e!n||n.is_empty()?[]:n.selected_glyph?this.model.view.convert_indices_from_subset(i):n.indices.length>0?n.indices:Object.keys(n.multiline_indices).map((e=>parseInt(e))))()),d=(0,u.filter)(i,(e=>r.has(t[e]))),{lod_threshold:p}=this.plot_model;let g,y,m;if(null!=this.model.document&&this.model.document.interactive_duration()>0&&!e&&null!=p&&t.length>p?(i=[...this.decimated],g=this.decimated_glyph,y=this.decimated_glyph,m=this.selection_glyph):(g=this.model.muted&&null!=this.muted_glyph?this.muted_glyph:this.glyph,y=this.nonselection_glyph,m=this.selection_glyph),null!=this.hover_glyph&&d.length){const e=new Set(i);for(const t of d)e.delete(t);i=[...e]}if(h.length){const e={};for(const t of h)e[t]=!0;const l=new Array,n=new Array;if(this.glyph instanceof o.LineView)for(const i of t)null!=e[i]?l.push(i):n.push(i);else for(const s of i)null!=e[t[s]]?l.push(s):n.push(s);y.render(s,n),m.render(s,l),null!=this.hover_glyph&&(this.glyph instanceof o.LineView?this.hover_glyph.render(s,this.model.view.convert_indices_from_subset(d)):this.hover_glyph.render(s,d))}else if(this.glyph instanceof o.LineView)this.hover_glyph&&d.length?this.hover_glyph.render(s,this.model.view.convert_indices_from_subset(d)):g.render(s,t);else if(this.glyph instanceof a.PatchView||this.glyph instanceof c.HAreaView||this.glyph instanceof _.VAreaView)if(0==n.selected_glyphs.length||null==this.hover_glyph)g.render(s,t);else for(const e of n.selected_glyphs)e==this.glyph.model&&this.hover_glyph.render(s,t);else g.render(s,i),this.hover_glyph&&d.length&&this.hover_glyph.render(s,d);s.restore()}draw_legend(e,t,i,s,l,h,n,o){0!=this.glyph.data_size&&(null==o&&(o=this.model.get_reference_point(h,n)),this.glyph.draw_legend_for_index(e,{x0:t,x1:i,y0:s,y1:l},o))}hit_test(e){if(!this.model.visible)return null;const t=this.glyph.hit_test(e);return null==t?null:this.model.view.convert_selection_from_subset(t)}}i.GlyphRendererView=G,G.__name__=\"GlyphRendererView\";class R extends n.DataRenderer{constructor(e){super(e)}initialize(){super.initialize(),this.view.source!=this.data_source&&(this.view.source=this.data_source,this.view.compute_indices())}get_reference_point(e,t){if(null!=e){const i=this.data_source.get_column(e);if(null!=i)for(const[e,s]of Object.entries(this.view.indices_map))if(i[parseInt(e)]==t)return s}return 0}get_selection_manager(){return this.data_source.selection_manager}}i.GlyphRenderer=R,h=R,R.__name__=\"GlyphRenderer\",h.prototype.default_view=G,h.define((({Boolean:e,Auto:t,Or:i,Ref:s,Null:l,Nullable:h})=>({data_source:[s(d.ColumnarDataSource)],view:[s(p.CDSView),e=>new p.CDSView({source:e.data_source})],glyph:[s(r.Glyph)],hover_glyph:[h(s(r.Glyph)),null],nonselection_glyph:[i(s(r.Glyph),t,l),\"auto\"],selection_glyph:[i(s(r.Glyph),t,l),\"auto\"],muted_glyph:[i(s(r.Glyph),t,l),\"auto\"],muted:[e,!1]})))},\n", " function _(e,r,t,a,n){var s;a();const c=e(41);class _ extends c.RendererView{get xscale(){return this.coordinates.x_scale}get yscale(){return this.coordinates.y_scale}}t.DataRendererView=_,_.__name__=\"DataRendererView\";class i extends c.Renderer{constructor(e){super(e)}get selection_manager(){return this.get_selection_manager()}}t.DataRenderer=i,s=i,i.__name__=\"DataRenderer\",s.override({level:\"glyph\"})},\n", " function _(e,t,i,s,n){s();const l=e(1);var _;const r=e(178),o=e(184),a=(0,l.__importStar)(e(48)),h=(0,l.__importStar)(e(185)),c=e(72);class d extends r.XYGlyphView{async lazy_initialize(){await super.lazy_initialize();const{webgl:t}=this.renderer.plot_view.canvas_view;if(null==t?void 0:t.regl_wrapper.has_webgl){const{LineGL:i}=await Promise.resolve().then((()=>(0,l.__importStar)(e(421))));this.glglyph=new i(t.regl_wrapper,this)}}_render(e,t,i){const{sx:s,sy:n}=null!=i?i:this;let l=null;const _=e=>null!=l&&e-l!=1;let r=!0;e.beginPath();for(const i of t){const t=s[i],o=n[i];isFinite(t+o)?r||_(i)?(e.moveTo(t,o),r=!1):e.lineTo(t,o):r=!0,l=i}this.visuals.line.set_value(e),e.stroke()}_hit_point(e){const t=new c.Selection,i={x:e.sx,y:e.sy};let s=9999;const n=Math.max(2,this.line_width.value/2);for(let e=0,l=this.sx.length-1;e({x:[c.XCoordinateSpec,{field:\"x\"}],y:[c.YCoordinateSpec,{field:\"y\"}]})))},\n", " function _(e,t,s,i,n){i();const r=e(1),a=(0,r.__importStar)(e(18)),o=(0,r.__importStar)(e(65)),_=(0,r.__importStar)(e(45)),l=e(42),c=e(53),h=e(19),d=e(24),u=e(8),f=e(180),p=e(12),g=e(26),y=e(181),x=e(67),v=e(72),{abs:b,ceil:m}=Math;class w extends l.View{constructor(){super(...arguments),this._index=null,this._data_size=null,this._nohit_warned=new Set}get renderer(){return this.parent}get has_webgl(){return null!=this.glglyph}get index(){const{_index:e}=this;if(null!=e)return e;throw new Error(`${this}.index_data() wasn't called`)}get data_size(){const{_data_size:e}=this;if(null!=e)return e;throw new Error(`${this}.set_data() wasn't called`)}initialize(){super.initialize(),this.visuals=new _.Visuals(this)}request_render(){this.parent.request_render()}get canvas(){return this.renderer.parent.canvas_view}render(e,t,s){var i;null!=this.glglyph&&(this.renderer.needs_webgl_blit=this.glglyph.render(e,t,null!==(i=this.base)&&void 0!==i?i:this),this.renderer.needs_webgl_blit)||this._render(e,t,null!=s?s:this.base)}has_finished(){return!0}notify_finished(){this.renderer.notify_finished()}_bounds(e){return e}bounds(){return this._bounds(this.index.bbox)}log_bounds(){const{x0:e,x1:t}=this.index.bounds(o.positive_x()),{y0:s,y1:i}=this.index.bounds(o.positive_y());return this._bounds({x0:e,y0:s,x1:t,y1:i})}get_anchor_point(e,t,[s,i]){switch(e){case\"center\":case\"center_center\":{const[e,n]=this.scenterxy(t,s,i);return{x:e,y:n}}default:return null}}scenterx(e,t,s){return this.scenterxy(e,t,s)[0]}scentery(e,t,s){return this.scenterxy(e,t,s)[1]}sdist(e,t,s,i=\"edge\",n=!1){const r=t.length,a=new d.ScreenArray(r),o=e.s_compute;if(\"center\"==i)for(let e=0;em(e))),a}draw_legend_for_index(e,t,s){}hit_test(e){switch(e.type){case\"point\":if(null!=this._hit_point)return this._hit_point(e);break;case\"span\":if(null!=this._hit_span)return this._hit_span(e);break;case\"rect\":if(null!=this._hit_rect)return this._hit_rect(e);break;case\"poly\":if(null!=this._hit_poly)return this._hit_poly(e)}return this._nohit_warned.has(e.type)||(h.logger.debug(`'${e.type}' selection not available for ${this.model.type}`),this._nohit_warned.add(e.type)),null}_hit_rect_against_index(e){const{sx0:t,sx1:s,sy0:i,sy1:n}=e,[r,a]=this.renderer.coordinates.x_scale.r_invert(t,s),[o,_]=this.renderer.coordinates.y_scale.r_invert(i,n),l=[...this.index.indices({x0:r,x1:a,y0:o,y1:_})];return new v.Selection({indices:l})}_project_data(){}*_iter_visuals(){for(const e of this.visuals)for(const t of e)(t instanceof a.VectorSpec||t instanceof a.ScalarSpec)&&(yield t)}set_base(e){e!=this&&e instanceof this.constructor&&(this.base=e)}_configure(e,t){Object.defineProperty(this,(0,u.isString)(e)?e:e.attr,Object.assign({configurable:!0,enumerable:!0},t))}set_visuals(e,t){var s;for(const s of this._iter_visuals()){const{base:i}=this;if(null!=i){const e=i.model.properties[s.attr];if(null!=e&&(0,g.is_equal)(s.get_value(),e.get_value())){this._configure(s,{get:()=>i[`${s.attr}`]});continue}}const n=s.uniform(e).select(t);this._configure(s,{value:n})}for(const e of this.visuals)e.update();this._set_visuals(),null===(s=this.glglyph)||void 0===s||s.set_visuals_changed()}_set_visuals(){}set_data(e,t,s){var i;const{x_source:n,y_source:r}=this.renderer.coordinates,o=new Set(this._iter_visuals());this._data_size=t.count;for(const s of this.model)if((s instanceof a.VectorSpec||s instanceof a.ScalarSpec)&&!o.has(s))if(s instanceof a.BaseCoordinateSpec){const i=s.array(e);let o=t.select(i);const _=\"x\"==s.dimension?n:r;if(_ instanceof x.FactorRange)if(s instanceof a.CoordinateSpec)o=_.v_synthetic(o);else if(s instanceof a.CoordinateSeqSpec)for(let e=0;e{const s=new Uint32Array(r);for(let a=0;a>1;t[s]>i?e=s:n=s+1}return t[n]}class r extends d.default{get boxes(){return this._boxes}search_indices(i,t,n,e){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let s=this._boxes.length-4;const d=[],x=new o.Indices(this.numItems);for(;void 0!==s;){const o=Math.min(s+4*this.nodeSize,h(s,this._levelBounds));for(let h=s;h>2],r=this._boxes[h+0],l=this._boxes[h+1],a=this._boxes[h+2],_=this._boxes[h+3];na||t>_||(s<4*this.numItems?x.set(o):d.push(o)))}s=d.pop()}return x}}r.__name__=\"_FlatBush\";class l{constructor(i){this.index=null,i>0&&(this.index=new r(i))}add_rect(i,t,n,e){var s;isFinite(i+t+n+e)?null===(s=this.index)||void 0===s||s.add(i,t,n,e):this.add_empty()}add_point(i,t){var n;isFinite(i+t)?null===(n=this.index)||void 0===n||n.add(i,t,i,t):this.add_empty()}add_empty(){var i;null===(i=this.index)||void 0===i||i.add(1/0,1/0,-1/0,-1/0)}finish(){var i;null===(i=this.index)||void 0===i||i.finish()}_normalize(i){let{x0:t,y0:n,x1:e,y1:s}=i;return t>e&&([t,e]=[e,t]),n>s&&([n,s]=[s,n]),{x0:t,y0:n,x1:e,y1:s}}get bbox(){if(null==this.index)return(0,x.empty)();{const{minX:i,minY:t,maxX:n,maxY:e}=this.index;return{x0:i,y0:t,x1:n,y1:e}}}indices(i){if(null==this.index)return new o.Indices(0);{const{x0:t,y0:n,x1:e,y1:s}=this._normalize(i);return this.index.search_indices(t,n,e,s)}}bounds(i){const t=(0,x.empty)();if(null==this.index)return t;const{boxes:n}=this.index;for(const e of this.indices(i)){const s=n[4*e+0],d=n[4*e+1],o=n[4*e+2],x=n[4*e+3];s>=i.x0&&st.x1&&(t.x1=o),d>=i.y0&&dt.y1&&(t.y1=x)}return t}}n.SpatialIndex=l,l.__name__=\"SpatialIndex\"},\n", " function _(t,s,i,e,h){e();const n=(0,t(1).__importDefault)(t(183)),o=[Int8Array,Uint8Array,Uint8ClampedArray,Int16Array,Uint16Array,Int32Array,Uint32Array,Float32Array,Float64Array];class r{static from(t){if(!(t instanceof ArrayBuffer))throw new Error(\"Data must be an instance of ArrayBuffer.\");const[s,i]=new Uint8Array(t,0,2);if(251!==s)throw new Error(\"Data does not appear to be in a Flatbush format.\");if(i>>4!=3)throw new Error(`Got v${i>>4} data when expected v3.`);const[e]=new Uint16Array(t,2,1),[h]=new Uint32Array(t,4,1);return new r(h,e,o[15&i],t)}constructor(t,s=16,i=Float64Array,e){if(void 0===t)throw new Error(\"Missing required argument: numItems.\");if(isNaN(t)||t<=0)throw new Error(`Unpexpected numItems value: ${t}.`);this.numItems=+t,this.nodeSize=Math.min(Math.max(+s,2),65535);let h=t,r=h;this._levelBounds=[4*h];do{h=Math.ceil(h/this.nodeSize),r+=h,this._levelBounds.push(4*r)}while(1!==h);this.ArrayType=i||Float64Array,this.IndexArrayType=r<16384?Uint16Array:Uint32Array;const a=o.indexOf(this.ArrayType),_=4*r*this.ArrayType.BYTES_PER_ELEMENT;if(a<0)throw new Error(`Unexpected typed array class: ${i}.`);e&&e instanceof ArrayBuffer?(this.data=e,this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=4*r,this.minX=this._boxes[this._pos-4],this.minY=this._boxes[this._pos-3],this.maxX=this._boxes[this._pos-2],this.maxY=this._boxes[this._pos-1]):(this.data=new ArrayBuffer(8+_+r*this.IndexArrayType.BYTES_PER_ELEMENT),this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=0,this.minX=1/0,this.minY=1/0,this.maxX=-1/0,this.maxY=-1/0,new Uint8Array(this.data,0,2).set([251,48+a]),new Uint16Array(this.data,2,1)[0]=s,new Uint32Array(this.data,4,1)[0]=t),this._queue=new n.default}add(t,s,i,e){const h=this._pos>>2;return this._indices[h]=h,this._boxes[this._pos++]=t,this._boxes[this._pos++]=s,this._boxes[this._pos++]=i,this._boxes[this._pos++]=e,tthis.maxX&&(this.maxX=i),e>this.maxY&&(this.maxY=e),h}finish(){if(this._pos>>2!==this.numItems)throw new Error(`Added ${this._pos>>2} items when expected ${this.numItems}.`);if(this.numItems<=this.nodeSize)return this._boxes[this._pos++]=this.minX,this._boxes[this._pos++]=this.minY,this._boxes[this._pos++]=this.maxX,void(this._boxes[this._pos++]=this.maxY);const t=this.maxX-this.minX,s=this.maxY-this.minY,i=new Uint32Array(this.numItems);for(let e=0;e>2]=t,this._boxes[this._pos++]=e,this._boxes[this._pos++]=h,this._boxes[this._pos++]=n,this._boxes[this._pos++]=o}}}search(t,s,i,e,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const o=[],r=[];for(;void 0!==n;){const a=Math.min(n+4*this.nodeSize,_(n,this._levelBounds));for(let _=n;_>2];ithis._boxes[_+2]||s>this._boxes[_+3]||(n<4*this.numItems?(void 0===h||h(a))&&r.push(a):o.push(a)))}n=o.pop()}return r}neighbors(t,s,i=1/0,e=1/0,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const o=this._queue,r=[],x=e*e;for(;void 0!==n;){const e=Math.min(n+4*this.nodeSize,_(n,this._levelBounds));for(let i=n;i>2],r=a(t,this._boxes[i],this._boxes[i+2]),_=a(s,this._boxes[i+1],this._boxes[i+3]),x=r*r+_*_;n<4*this.numItems?(void 0===h||h(e))&&o.push(-e-1,x):o.push(e,x)}for(;o.length&&o.peek()<0;){if(o.peekValue()>x)return o.clear(),r;if(r.push(-o.pop()-1),r.length===i)return o.clear(),r}n=o.pop()}return o.clear(),r}}function a(t,s,i){return t>1;s[h]>t?e=h:i=h+1}return s[i]}function x(t,s,i,e,h,n){if(Math.floor(e/n)>=Math.floor(h/n))return;const o=t[e+h>>1];let r=e-1,a=h+1;for(;;){do{r++}while(t[r]o);if(r>=a)break;d(t,s,i,r,a)}x(t,s,i,e,a,n),x(t,s,i,a+1,h,n)}function d(t,s,i,e,h){const n=t[e];t[e]=t[h],t[h]=n;const o=4*e,r=4*h,a=s[o],_=s[o+1],x=s[o+2],d=s[o+3];s[o]=s[r],s[o+1]=s[r+1],s[o+2]=s[r+2],s[o+3]=s[r+3],s[r]=a,s[r+1]=_,s[r+2]=x,s[r+3]=d;const m=i[e];i[e]=i[h],i[h]=m}function m(t,s){let 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i.GlyphView{draw_legend_for_index(e,a,r){(0,l.generic_area_scalar_legend)(this.visuals,e,a)}}r.AreaView=o,o.__name__=\"AreaView\";class d extends i.Glyph{constructor(e){super(e)}}r.Area=d,c=d,d.__name__=\"Area\",c.mixins([t.FillScalar,t.HatchScalar])},\n", " function _(e,t,s,i,r){i();const n=e(1);var a;const _=e(24),h=e(188),o=(0,n.__importStar)(e(185)),l=(0,n.__importStar)(e(18)),c=e(72);class y extends h.AreaView{_index_data(e){const{min:t,max:s}=Math,{data_size:i}=this;for(let r=0;r=0;t--)e.lineTo(i[t],n[t]);e.closePath(),this.visuals.fill.apply(e),this.visuals.hatch.apply(e)}scenterxy(e){return[this.sx[e],(this.sy1[e]+this.sy2[e])/2]}_hit_point(e){const t=this.sx.length,s=new _.ScreenArray(2*t),i=new _.ScreenArray(2*t);for(let e=0,r=t;e({x:[l.XCoordinateSpec,{field:\"x\"}],y1:[l.YCoordinateSpec,{field:\"y1\"}],y2:[l.YCoordinateSpec,{field:\"y2\"}]})))},\n", " function _(e,i,s,t,n){var c;t();const o=e(53),r=e(24),u=e(191),_=e(70);class a extends 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e.map((e=>this._indices[e]))}}s.CDSView=a,c=a,a.__name__=\"CDSView\",c.define((({Array:e,Ref:i})=>({filters:[e(i(u.Filter)),[]],source:[i(_.ColumnarDataSource)]}))),c.internal((({Int:e,Dict:i,Ref:s,Nullable:t})=>({indices:[s(r.Indices)],indices_map:[i(e),{}],masked:[t(s(r.Indices)),null]})))},\n", " function _(e,t,n,s,c){s();const o=e(53);class r extends o.Model{constructor(e){super(e)}}n.Filter=r,r.__name__=\"Filter\"},\n", " function _(t,r,a,e,c){e(),c(\"BasicTickFormatter\",t(146).BasicTickFormatter),c(\"CategoricalTickFormatter\",t(142).CategoricalTickFormatter),c(\"DatetimeTickFormatter\",t(150).DatetimeTickFormatter),c(\"FuncTickFormatter\",t(193).FuncTickFormatter),c(\"LogTickFormatter\",t(163).LogTickFormatter),c(\"MercatorTickFormatter\",t(166).MercatorTickFormatter),c(\"NumeralTickFormatter\",t(194).NumeralTickFormatter),c(\"PrintfTickFormatter\",t(195).PrintfTickFormatter),c(\"TickFormatter\",t(131).TickFormatter)},\n", " function _(t,e,n,s,r){var c;s();const 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r.map((r=>u.format(r,t,o,e)))}}t.NumeralTickFormatter=s,a=s,s.__name__=\"NumeralTickFormatter\",a.define((({String:r})=>({format:[r,\"0,0\"],language:[r,\"en\"],rounding:[i.RoundingFunction,\"round\"]})))},\n", " function _(t,r,n,o,a){var e;o();const i=t(131),s=t(152);class c extends i.TickFormatter{constructor(t){super(t)}doFormat(t,r){return t.map((t=>(0,s.sprintf)(this.format,t)))}}n.PrintfTickFormatter=c,e=c,c.__name__=\"PrintfTickFormatter\",e.define((({String:t})=>({format:[t,\"%s\"]})))},\n", " function _(r,o,a,p,e){p(),e(\"CategoricalColorMapper\",r(197).CategoricalColorMapper),e(\"CategoricalMarkerMapper\",r(199).CategoricalMarkerMapper),e(\"CategoricalPatternMapper\",r(200).CategoricalPatternMapper),e(\"ContinuousColorMapper\",r(172).ContinuousColorMapper),e(\"ColorMapper\",r(173).ColorMapper),e(\"LinearColorMapper\",r(201).LinearColorMapper),e(\"LogColorMapper\",r(202).LogColorMapper),e(\"ScanningColorMapper\",r(171).ScanningColorMapper),e(\"EqHistColorMapper\",r(203).EqHistColorMapper)},\n", " function _(t,o,r,a,e){var c;a();const s=t(198),l=t(173),n=t(67);class _ extends l.ColorMapper{constructor(t){super(t)}_v_compute(t,o,r,{nan_color:a}){(0,s.cat_v_compute)(t,this.factors,r,o,this.start,this.end,a)}}r.CategoricalColorMapper=_,c=_,_.__name__=\"CategoricalColorMapper\",c.define((({Number:t,Nullable:o})=>({factors:[n.FactorSeq],start:[t,0],end:[o(t),null]})))},\n", " function _(n,t,e,l,i){l();const c=n(12),u=n(8);function f(n,t){if(n.length!=t.length)return!1;for(let 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Array(t.length);return(0,c.cat_v_compute)(t,this.factors,this.patterns,e,this.start,this.end,this.default_value),e}}a.CategoricalPatternMapper=o,s=o,o.__name__=\"CategoricalPatternMapper\",s.define((({Number:t,Array:e,Nullable:a})=>({factors:[l.FactorSeq],patterns:[e(u.HatchPatternType)],start:[t,0],end:[a(t),null],default_value:[u.HatchPatternType,\" \"]})))},\n", " function _(n,r,o,t,a){t();const e=n(172),i=n(12);class s extends e.ContinuousColorMapper{constructor(n){super(n)}scan(n,r){const o=null!=this.low?this.low:(0,i.min)(n),t=null!=this.high?this.high:(0,i.max)(n);return{max:t,min:o,norm_factor:1/(t-o),normed_interval:1/r}}cmap(n,r,o,t,a){const e=r.length-1;if(n==a.max)return r[e];const i=(n-a.min)*a.norm_factor,s=Math.floor(i/a.normed_interval);return s<0?o:s>e?t:r[s]}}o.LinearColorMapper=s,s.__name__=\"LinearColorMapper\"},\n", " function _(o,t,n,r,l){r();const a=o(172),s=o(12);class e extends a.ContinuousColorMapper{constructor(o){super(o)}scan(o,t){const n=null!=this.low?this.low:(0,s.min)(o),r=null!=this.high?this.high:(0,s.max)(o);return{max:r,min:n,scale:t/(Math.log(r)-Math.log(n))}}cmap(o,t,n,r,l){const a=t.length-1;if(o>l.max)return r;if(o==l.max)return t[a];if(oa&&(e=a),t[e]}}n.LogColorMapper=e,e.__name__=\"LogColorMapper\"},\n", " function _(n,t,e,i,o){var s;i();const r=n(171),a=n(12),l=n(9),c=n(19);class h extends r.ScanningColorMapper{constructor(n){super(n)}scan(n,t){const e=null!=this.low?this.low:(0,a.min)(n),i=null!=this.high?this.high:(0,a.max)(n),o=this.bins,s=(0,l.linspace)(e,i,o+1),r=(0,a.bin_counts)(n,s),h=new Array(o);for(let n=0,t=s.length;nn/p));let m=t-1,f=[],M=0,_=2*t;for(;m!=t&&M<4&&0!=m;){const n=_/m;if(n>1e3)break;_=Math.round(Math.max(t*n,t));const e=(0,l.range)(0,_),i=(0,a.map)(u,(n=>n*(_-1)));f=(0,a.interpolate)(e,i,h);m=(0,l.uniq)(f).length-1,M++}if(0==m){f=[e,i];for(let n=0;n({bins:[n,65536]})))},\n", " function _(a,e,l,c,n){c(),n(\"CategoricalScale\",a(62).CategoricalScale),n(\"ContinuousScale\",a(60).ContinuousScale),n(\"LinearScale\",a(59).LinearScale),n(\"LinearInterpolationScale\",a(205).LinearInterpolationScale),n(\"LogScale\",a(61).LogScale),n(\"Scale\",a(55).Scale)},\n", " function _(e,r,n,t,a){var i;t();const s=e(55),o=e(59),c=e(12);class _ extends s.Scale{constructor(e){super(e)}connect_signals(){super.connect_signals();const{source_range:e,target_range:r}=this.properties;this.on_change([e,r],(()=>{this.linear_scale=new o.LinearScale({source_range:this.source_range,target_range:this.target_range})}))}get s_compute(){throw new Error(\"not implemented\")}get s_invert(){throw new Error(\"not implemented\")}compute(e){return e}v_compute(e){const{binning:r}=this,{start:n,end:t}=this.source_range,a=n,i=t,s=r.length,o=(t-n)/(s-1),_=new Float64Array(s);for(let e=0;e{if(ei)return i;const n=(0,c.left_edge_index)(e,r);if(-1==n)return a;if(n>=s-1)return i;const t=r[n],o=(e-t)/(r[n+1]-t),l=_[n];return l+o*(_[n+1]-l)}));return this.linear_scale.v_compute(l)}invert(e){return e}v_invert(e){return new Float64Array(e)}}n.LinearInterpolationScale=_,i=_,_.__name__=\"LinearInterpolationScale\",i.internal((({Arrayable:e,Ref:r})=>({binning:[e],linear_scale:[r(o.LinearScale),e=>new o.LinearScale({source_range:e.source_range,target_range:e.target_range})]})))},\n", " function _(a,n,e,g,R){g(),R(\"DataRange\",a(64).DataRange),R(\"DataRange1d\",a(63).DataRange1d),R(\"FactorRange\",a(67).FactorRange),R(\"Range\",a(57).Range),R(\"Range1d\",a(58).Range1d)},\n", " function _(a,o,i,t,e){t();var n=a(124);e(\"Sizeable\",n.Sizeable),e(\"SizingPolicy\",n.SizingPolicy);var c=a(125);e(\"Layoutable\",c.Layoutable),e(\"LayoutItem\",c.LayoutItem);var r=a(208);e(\"HStack\",r.HStack),e(\"VStack\",r.VStack);var l=a(209);e(\"Grid\",l.Grid),e(\"Row\",l.Row),e(\"Column\",l.Column);var S=a(210);e(\"ContentBox\",S.ContentBox),e(\"VariadicBox\",S.VariadicBox)},\n", " function _(t,e,h,i,r){i();const n=t(125),o=t(65);class s extends n.Layoutable{constructor(){super(...arguments),this.children=[]}*[Symbol.iterator](){yield*this.children}}h.Stack=s,s.__name__=\"Stack\";class c extends s{_measure(t){let e=0,h=0;for(const t of this.children){const i=t.measure({width:0,height:0});e+=i.width,h=Math.max(h,i.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const h=this.absolute?t.top:0;let i=this.absolute?t.left:0;const{height:r}=t;for(const t of this.children){const{width:e}=t.measure({width:0,height:0});t.set_geometry(new o.BBox({left:i,width:e,top:h,height:r})),i+=e}}}h.HStack=c,c.__name__=\"HStack\";class a extends s{_measure(t){let e=0,h=0;for(const t of this.children){const i=t.measure({width:0,height:0});e=Math.max(e,i.width),h+=i.height}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const h=this.absolute?t.left:0;let i=this.absolute?t.top:0;const{width:r}=t;for(const t of this.children){const{height:e}=t.measure({width:0,height:0});t.set_geometry(new o.BBox({top:i,height:e,left:h,width:r})),i+=e}}}h.VStack=a,a.__name__=\"VStack\";class l extends n.Layoutable{constructor(){super(...arguments),this.children=[]}*[Symbol.iterator](){yield*this.children}_measure(t){const{width_policy:e,height_policy:h}=this.sizing,{min:i,max:r}=Math;let n=0,o=0;for(const e of this.children){const{width:h,height:i}=e.measure(t);n=r(n,h),o=r(o,i)}return{width:(()=>{const{width:h}=this.sizing;if(t.width==1/0)return\"fixed\"==e&&null!=h?h:n;switch(e){case\"fixed\":return null!=h?h:n;case\"min\":return n;case\"fit\":return null!=h?i(t.width,h):t.width;case\"max\":return null!=h?r(t.width,h):t.width}})(),height:(()=>{const{height:e}=this.sizing;if(t.height==1/0)return\"fixed\"==h&&null!=e?e:o;switch(h){case\"fixed\":return null!=e?e:o;case\"min\":return o;case\"fit\":return null!=e?i(t.height,e):t.height;case\"max\":return null!=e?r(t.height,e):t.height}})()}}_set_geometry(t,e){super._set_geometry(t,e);const h=this.absolute?t:t.relative(),{left:i,right:r,top:n,bottom:s}=h,c=Math.round(h.vcenter),a=Math.round(h.hcenter);for(const e of this.children){const{margin:h,halign:l,valign:d}=e.sizing,{width:u,height:g,inner:_}=e.measure(t),w=(()=>{switch(`${d}_${l}`){case\"start_start\":return new o.BBox({left:i+h.left,top:n+h.top,width:u,height:g});case\"start_center\":return new o.BBox({hcenter:a,top:n+h.top,width:u,height:g});case\"start_end\":return new o.BBox({right:r-h.right,top:n+h.top,width:u,height:g});case\"center_start\":return new o.BBox({left:i+h.left,vcenter:c,width:u,height:g});case\"center_center\":return new o.BBox({hcenter:a,vcenter:c,width:u,height:g});case\"center_end\":return new o.BBox({right:r-h.right,vcenter:c,width:u,height:g});case\"end_start\":return new o.BBox({left:i+h.left,bottom:s-h.bottom,width:u,height:g});case\"end_center\":return new o.BBox({hcenter:a,bottom:s-h.bottom,width:u,height:g});case\"end_end\":return new o.BBox({right:r-h.right,bottom:s-h.bottom,width:u,height:g})}})(),m=null==_?w:new o.BBox({left:w.left+_.left,top:w.top+_.top,right:w.right-_.right,bottom:w.bottom-_.bottom});e.set_geometry(w,m)}}}h.NodeLayout=l,l.__name__=\"NodeLayout\"},\n", " function _(t,i,s,e,o){e();const n=t(124),l=t(125),r=t(8),h=t(65),c=t(9),{max:a,round:g}=Math;class p{constructor(t){this.def=t,this._map=new Map}get(t){let i=this._map.get(t);return void 0===i&&(i=this.def(),this._map.set(t,i)),i}apply(t,i){const s=this.get(t);this._map.set(t,i(s))}}p.__name__=\"DefaultMap\";class f{constructor(){this._items=[],this._nrows=0,this._ncols=0}get nrows(){return this._nrows}get ncols(){return this._ncols}add(t,i){const{r1:s,c1:e}=t;this._nrows=a(this._nrows,s+1),this._ncols=a(this._ncols,e+1),this._items.push({span:t,data:i})}at(t,i){return this._items.filter((({span:s})=>s.r0<=t&&t<=s.r1&&s.c0<=i&&i<=s.c1)).map((({data:t})=>t))}row(t){return this._items.filter((({span:i})=>i.r0<=t&&t<=i.r1)).map((({data:t})=>t))}col(t){return this._items.filter((({span:i})=>i.c0<=t&&t<=i.c1)).map((({data:t})=>t))}foreach(t){for(const{span:i,data:s}of this._items)t(i,s)}map(t){const i=new f;for(const{span:s,data:e}of this._items)i.add(s,t(s,e));return i}}f.__name__=\"Container\";class _ extends l.Layoutable{constructor(t=[]){super(),this.items=t,this.rows=\"auto\",this.cols=\"auto\",this.spacing=0}*[Symbol.iterator](){for(const{layout:t}of this.items)yield t}is_width_expanding(){if(super.is_width_expanding())return!0;if(\"fixed\"==this.sizing.width_policy)return!1;const{cols:t}=this._state;return(0,c.some)(t,(t=>\"max\"==t.policy))}is_height_expanding(){if(super.is_height_expanding())return!0;if(\"fixed\"==this.sizing.height_policy)return!1;const{rows:t}=this._state;return(0,c.some)(t,(t=>\"max\"==t.policy))}_init(){var t,i,s,e;super._init();const o=new f;for(const{layout:t,row:i,col:s,row_span:e,col_span:n}of this.items)if(t.sizing.visible){const l=i,r=s,h=i+(null!=e?e:1)-1,c=s+(null!=n?n:1)-1;o.add({r0:l,c0:r,r1:h,c1:c},t)}const{nrows:n,ncols:l}=o,h=new Array(n);for(let s=0;s{var t;const i=(0,r.isPlainObject)(this.rows)?null!==(t=this.rows[s])&&void 0!==t?t:this.rows[\"*\"]:this.rows;return null==i?{policy:\"auto\"}:(0,r.isNumber)(i)?{policy:\"fixed\",height:i}:(0,r.isString)(i)?{policy:i}:i})(),n=null!==(t=e.align)&&void 0!==t?t:\"auto\";if(\"fixed\"==e.policy)h[s]={policy:\"fixed\",height:e.height,align:n};else if(\"min\"==e.policy)h[s]={policy:\"min\",align:n};else if(\"fit\"==e.policy||\"max\"==e.policy)h[s]={policy:e.policy,flex:null!==(i=e.flex)&&void 0!==i?i:1,align:n};else{if(\"auto\"!=e.policy)throw new Error(\"unrechable\");(0,c.some)(o.row(s),(t=>t.is_height_expanding()))?h[s]={policy:\"max\",flex:1,align:n}:h[s]={policy:\"min\",align:n}}}const a=new Array(l);for(let t=0;t{var i;const s=(0,r.isPlainObject)(this.cols)?null!==(i=this.cols[t])&&void 0!==i?i:this.cols[\"*\"]:this.cols;return null==s?{policy:\"auto\"}:(0,r.isNumber)(s)?{policy:\"fixed\",width:s}:(0,r.isString)(s)?{policy:s}:s})(),n=null!==(s=i.align)&&void 0!==s?s:\"auto\";if(\"fixed\"==i.policy)a[t]={policy:\"fixed\",width:i.width,align:n};else if(\"min\"==i.policy)a[t]={policy:\"min\",align:n};else if(\"fit\"==i.policy||\"max\"==i.policy)a[t]={policy:i.policy,flex:null!==(e=i.flex)&&void 0!==e?e:1,align:n};else{if(\"auto\"!=i.policy)throw new Error(\"unrechable\");(0,c.some)(o.col(t),(t=>t.is_width_expanding()))?a[t]={policy:\"max\",flex:1,align:n}:a[t]={policy:\"min\",align:n}}}const[g,p]=(0,r.isNumber)(this.spacing)?[this.spacing,this.spacing]:this.spacing;this._state={items:o,nrows:n,ncols:l,rows:h,cols:a,rspacing:g,cspacing:p}}_measure_totals(t,i){const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state;return{height:(0,c.sum)(t)+(s-1)*o,width:(0,c.sum)(i)+(e-1)*n}}_measure_cells(t){const{items:i,nrows:s,ncols:e,rows:o,cols:l,rspacing:r,cspacing:h}=this._state,c=new Array(s);for(let t=0;t{const{r0:e,c0:f,r1:d,c1:u}=i,w=(d-e)*r,m=(u-f)*h;let y=0;for(let i=e;i<=d;i++)y+=t(i,f).height;y+=w;let x=0;for(let i=f;i<=u;i++)x+=t(e,i).width;x+=m;const b=s.measure({width:x,height:y});_.add(i,{layout:s,size_hint:b});const z=new n.Sizeable(b).grow_by(s.sizing.margin);z.height-=w,z.width-=m;const v=[];for(let t=e;t<=d;t++){const i=o[t];\"fixed\"==i.policy?z.height-=i.height:v.push(t)}if(z.height>0){const t=g(z.height/v.length);for(const i of v)c[i]=a(c[i],t)}const j=[];for(let t=f;t<=u;t++){const i=l[t];\"fixed\"==i.policy?z.width-=i.width:j.push(t)}if(z.width>0){const t=g(z.width/j.length);for(const i of j)p[i]=a(p[i],t)}}));return{size:this._measure_totals(c,p),row_heights:c,col_widths:p,size_hints:_}}_measure_grid(t){const{nrows:i,ncols:s,rows:e,cols:o,rspacing:n,cspacing:l}=this._state,r=this._measure_cells(((t,i)=>{const s=e[t],n=o[i];return{width:\"fixed\"==n.policy?n.width:1/0,height:\"fixed\"==s.policy?s.height:1/0}}));let h;h=\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:t.height!=1/0&&this.is_height_expanding()?t.height:r.size.height;let c,p=0;for(let t=0;t0)for(let t=0;ti?i:e,t--}}}c=\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:t.width!=1/0&&this.is_width_expanding()?t.width:r.size.width;let f=0;for(let t=0;t0)for(let t=0;ts?s:o,t--}}}const{row_heights:_,col_widths:d,size_hints:u}=this._measure_cells(((t,i)=>({width:r.col_widths[i],height:r.row_heights[t]})));return{size:this._measure_totals(_,d),row_heights:_,col_widths:d,size_hints:u}}_measure(t){const{size:i}=this._measure_grid(t);return i}_set_geometry(t,i){super._set_geometry(t,i);const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state,{row_heights:l,col_widths:r,size_hints:c}=this._measure_grid(t),f=this._state.rows.map(((t,i)=>Object.assign(Object.assign({},t),{top:0,height:l[i],get bottom(){return this.top+this.height}}))),_=this._state.cols.map(((t,i)=>Object.assign(Object.assign({},t),{left:0,width:r[i],get right(){return this.left+this.width}}))),d=c.map(((t,i)=>Object.assign(Object.assign({},i),{outer:new h.BBox,inner:new h.BBox})));for(let i=0,e=this.absolute?t.top:0;i{const{layout:r,size_hint:c}=l,{sizing:a}=r,{width:p,height:d}=c,u=function(t,i){let s=(i-t)*n;for(let e=t;e<=i;e++)s+=_[e].width;return s}(i,e),w=function(t,i){let s=(i-t)*o;for(let e=t;e<=i;e++)s+=f[e].height;return s}(t,s),m=i==e&&\"auto\"!=_[i].align?_[i].align:a.halign,y=t==s&&\"auto\"!=f[t].align?f[t].align:a.valign;let x=_[i].left;\"start\"==m?x+=a.margin.left:\"center\"==m?x+=g((u-p)/2):\"end\"==m&&(x+=u-a.margin.right-p);let b=f[t].top;\"start\"==y?b+=a.margin.top:\"center\"==y?b+=g((w-d)/2):\"end\"==y&&(b+=w-a.margin.bottom-d),l.outer=new h.BBox({left:x,top:b,width:p,height:d})}));const u=f.map((()=>({start:new p((()=>0)),end:new p((()=>0))}))),w=_.map((()=>({start:new p((()=>0)),end:new p((()=>0))})));d.foreach((({r0:t,c0:i,r1:s,c1:e},{size_hint:o,outer:n})=>{const{inner:l}=o;null!=l&&(u[t].start.apply(n.top,(t=>a(t,l.top))),u[s].end.apply(f[s].bottom-n.bottom,(t=>a(t,l.bottom))),w[i].start.apply(n.left,(t=>a(t,l.left))),w[e].end.apply(_[e].right-n.right,(t=>a(t,l.right))))})),d.foreach((({r0:t,c0:i,r1:s,c1:e},o)=>{const{size_hint:n,outer:l}=o,r=t=>{const i=this.absolute?l:l.relative(),s=i.left+t.left,e=i.top+t.top,o=i.right-t.right,n=i.bottom-t.bottom;return new h.BBox({left:s,top:e,right:o,bottom:n})};if(null!=n.inner){let h=r(n.inner);if(!1!==n.align){const o=u[t].start.get(l.top),n=u[s].end.get(f[s].bottom-l.bottom),c=w[i].start.get(l.left),a=w[e].end.get(_[e].right-l.right);try{h=r({top:o,bottom:n,left:c,right:a})}catch(t){}}o.inner=h}else o.inner=l})),d.foreach(((t,{layout:i,outer:s,inner:e})=>{i.set_geometry(s,e)}))}}s.Grid=_,_.__name__=\"Grid\";class d extends _{constructor(t){super(),this.items=t.map(((t,i)=>({layout:t,row:0,col:i}))),this.rows=\"fit\"}}s.Row=d,d.__name__=\"Row\";class u extends _{constructor(t){super(),this.items=t.map(((t,i)=>({layout:t,row:i,col:0}))),this.cols=\"fit\"}}s.Column=u,u.__name__=\"Column\"},\n", " function _(e,t,s,n,i){n();const a=e(125),c=e(124),o=e(43);class r extends a.ContentLayoutable{constructor(e){super(),this.content_size=(0,o.unsized)(e,(()=>new c.Sizeable((0,o.size)(e))))}_content_size(){return this.content_size}}s.ContentBox=r,r.__name__=\"ContentBox\";class _ extends a.Layoutable{constructor(e){super(),this.el=e}_measure(e){const t=new c.Sizeable(e).bounded_to(this.sizing.size);return(0,o.sized)(this.el,t,(()=>{const e=new c.Sizeable((0,o.content_size)(this.el)),{border:t,padding:s}=(0,o.extents)(this.el);return e.grow_by(t).grow_by(s).map(Math.ceil)}))}}s.VariadicBox=_,_.__name__=\"VariadicBox\";class h extends _{constructor(e){super(e),this._cache=new Map}_measure(e){const{width:t,height:s}=e,n=`${t},${s}`;let i=this._cache.get(n);return null==i&&(i=super._measure(e),this._cache.set(n,i)),i}invalidate_cache(){this._cache.clear()}}s.CachedVariadicBox=h,h.__name__=\"CachedVariadicBox\"},\n", " function _(t,e,i,h,o){h();const s=t(124),r=t(125),n=t(65);class g extends r.Layoutable{constructor(){super(...arguments),this.min_border={left:0,top:0,right:0,bottom:0},this.padding={left:0,top:0,right:0,bottom:0}}*[Symbol.iterator](){yield this.top_panel,yield this.bottom_panel,yield this.left_panel,yield this.right_panel,yield this.center_panel}_measure(t){t=new s.Sizeable({width:\"fixed\"==this.sizing.width_policy||t.width==1/0?this.sizing.width:t.width,height:\"fixed\"==this.sizing.height_policy||t.height==1/0?this.sizing.height:t.height});const e=this.left_panel.measure({width:0,height:t.height}),i=Math.max(e.width,this.min_border.left)+this.padding.left,h=this.right_panel.measure({width:0,height:t.height}),o=Math.max(h.width,this.min_border.right)+this.padding.right,r=this.top_panel.measure({width:t.width,height:0}),n=Math.max(r.height,this.min_border.top)+this.padding.top,g=this.bottom_panel.measure({width:t.width,height:0}),a=Math.max(g.height,this.min_border.bottom)+this.padding.bottom,d=new s.Sizeable(t).shrink_by({left:i,right:o,top:n,bottom:a}),l=this.center_panel.measure(d);return{width:i+l.width+o,height:n+l.height+a,inner:{left:i,right:o,top:n,bottom:a},align:(()=>{const{width_policy:t,height_policy:e}=this.center_panel.sizing;return\"fixed\"!=t&&\"fixed\"!=e})()}}_set_geometry(t,e){super._set_geometry(t,e),this.center_panel.set_geometry(e);const i=this.left_panel.measure({width:0,height:t.height}),h=this.right_panel.measure({width:0,height:t.height}),o=this.top_panel.measure({width:t.width,height:0}),s=this.bottom_panel.measure({width:t.width,height:0}),{left:r,top:g,right:a,bottom:d}=e;this.top_panel.set_geometry(new n.BBox({left:r,right:a,bottom:g,height:o.height})),this.bottom_panel.set_geometry(new n.BBox({left:r,right:a,top:d,height:s.height})),this.left_panel.set_geometry(new n.BBox({top:g,bottom:d,right:r,width:i.width})),this.right_panel.set_geometry(new n.BBox({top:g,bottom:d,left:a,width:h.width}))}}i.BorderLayout=g,g.__name__=\"BorderLayout\"},\n", " function _(t,e,i,s,l){s();const n=t(1);var o;const a=t(119),_=t(10),d=t(20),h=t(120),r=t(123),u=(0,n.__importStar)(t(48));class c extends a.TextAnnotationView{update_layout(){const{panel:t}=this;this.layout=null!=t?new r.SideLayout(t,(()=>this.get_size()),!1):void 0}_get_size(){const{text:t}=this.model,e=new h.TextBox({text:t}),{angle:i,angle_units:s}=this.model;e.angle=(0,_.resolve_angle)(i,s),e.visuals=this.visuals.text.values();const{width:l,height:n}=e.size();return{width:l,height:n}}_render(){const{angle:t,angle_units:e}=this.model,i=(0,_.resolve_angle)(t,e),s=null!=this.layout?this.layout:this.plot_view.frame,l=this.coordinates.x_scale,n=this.coordinates.y_scale;let o=\"data\"==this.model.x_units?l.compute(this.model.x):s.bbox.xview.compute(this.model.x),a=\"data\"==this.model.y_units?n.compute(this.model.y):s.bbox.yview.compute(this.model.y);o+=this.model.x_offset,a-=this.model.y_offset;(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,this.model.text,o,a,i)}}i.LabelView=c,c.__name__=\"LabelView\";class x extends a.TextAnnotation{constructor(t){super(t)}}i.Label=x,o=x,x.__name__=\"Label\",o.prototype.default_view=c,o.mixins([u.Text,[\"border_\",u.Line],[\"background_\",u.Fill]]),o.define((({Number:t,String:e,Angle:i})=>({x:[t],x_units:[d.SpatialUnits,\"data\"],y:[t],y_units:[d.SpatialUnits,\"data\"],text:[e,\"\"],angle:[i,0],angle_units:[d.AngleUnits,\"rad\"],x_offset:[t,0],y_offset:[t,0]}))),o.override({background_fill_color:null,border_line_color:null})},\n", " function _(t,e,s,i,l){i();const o=t(1);var a;const r=t(69),n=(0,o.__importStar)(t(48)),d=t(20),_=t(43),c=t(120),h=(0,o.__importStar)(t(18)),u=t(11);class v extends r.DataAnnotationView{set_data(t){var e;if(super.set_data(t),null===(e=this.els)||void 0===e||e.forEach((t=>(0,_.remove)(t))),\"css\"==this.model.render_mode){const t=this.els=[...this.text].map((()=>(0,_.div)({style:{display:\"none\"}})));for(const e of t)this.plot_view.canvas_view.add_overlay(e)}else delete this.els}remove(){var t;null===(t=this.els)||void 0===t||t.forEach((t=>(0,_.remove)(t))),super.remove()}_rerender(){\"css\"==this.model.render_mode?this.render():this.request_render()}map_data(){const{x_scale:t,y_scale:e}=this.coordinates,s=null!=this.layout?this.layout:this.plot_view.frame;this.sx=\"data\"==this.model.x_units?t.v_compute(this._x):s.bbox.xview.v_compute(this._x),this.sy=\"data\"==this.model.y_units?e.v_compute(this._y):s.bbox.yview.v_compute(this._y)}paint(){const t=\"canvas\"==this.model.render_mode?this._v_canvas_text.bind(this):this._v_css_text.bind(this),{ctx:e}=this.layer;for(let s=0,i=this.text.length;s{switch(this.visuals.text.text_align.get(e)){case\"left\":return[\"left\",\"0%\"];case\"center\":return[\"center\",\"-50%\"];case\"right\":return[\"right\",\"-100%\"]}})(),[d,c]=(()=>{switch(this.visuals.text.text_baseline.get(e)){case\"top\":return[\"top\",\"0%\"];case\"middle\":return[\"center\",\"-50%\"];case\"bottom\":return[\"bottom\",\"-100%\"];default:return[\"center\",\"-50%\"]}})();let h=`translate(${n}, ${c})`;o&&(h+=`rotate(${o}rad)`),a.style.transformOrigin=`${r} ${d}`,a.style.transform=h,this.layout,this.visuals.background_fill.doit&&(this.visuals.background_fill.set_vectorize(t,e),a.style.backgroundColor=t.fillStyle),this.visuals.border_line.doit&&(this.visuals.border_line.set_vectorize(t,e),a.style.borderStyle=t.lineDash.length<2?\"solid\":\"dashed\",a.style.borderWidth=`${t.lineWidth}px`,a.style.borderColor=t.strokeStyle),(0,_.display)(a)}}s.LabelSetView=v,v.__name__=\"LabelSetView\";class x extends r.DataAnnotation{constructor(t){super(t)}}s.LabelSet=x,a=x,x.__name__=\"LabelSet\",a.prototype.default_view=v,a.mixins([n.TextVector,[\"border_\",n.LineVector],[\"background_\",n.FillVector]]),a.define((()=>({x:[h.XCoordinateSpec,{field:\"x\"}],y:[h.YCoordinateSpec,{field:\"y\"}],x_units:[d.SpatialUnits,\"data\"],y_units:[d.SpatialUnits,\"data\"],text:[h.StringSpec,{field:\"text\"}],angle:[h.AngleSpec,0],x_offset:[h.NumberSpec,{value:0}],y_offset:[h.NumberSpec,{value:0}],render_mode:[d.RenderMode,\"canvas\"]}))),a.override({background_fill_color:null,border_line_color:null})},\n", " function _(t,e,i,l,s){l();const n=t(1);var o;const h=t(40),a=t(215),_=t(20),r=(0,n.__importStar)(t(48)),d=t(15),c=t(123),g=t(121),m=t(65),b=t(9),f=t(8),u=t(11);class x extends h.AnnotationView{update_layout(){const{panel:t}=this;this.layout=null!=t?new c.SideLayout(t,(()=>this.get_size())):void 0}cursor(t,e){return\"none\"==this.model.click_policy?null:\"pointer\"}get legend_padding(){return null!=this.model.border_line_color?this.model.padding:0}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render())),this.connect(this.model.item_change,(()=>this.request_render()))}compute_legend_bbox(){const t=this.model.get_legend_names(),{glyph_height:e,glyph_width:i}=this.model,{label_height:l,label_width:s}=this.model;this.max_label_height=(0,b.max)([(0,g.font_metrics)(this.visuals.label_text.font_value()).height,l,e]);const{ctx:n}=this.layer;n.save(),this.visuals.label_text.set_value(n),this.text_widths=new Map;for(const e of t)this.text_widths.set(e,(0,b.max)([n.measureText(e).width,s]));this.visuals.title_text.set_value(n),this.title_height=this.model.title?(0,g.font_metrics)(this.visuals.title_text.font_value()).height+this.model.title_standoff:0,this.title_width=this.model.title?n.measureText(this.model.title).width:0,n.restore();const o=Math.max((0,b.max)([...this.text_widths.values()]),0),h=this.model.margin,{legend_padding:a}=this,_=this.model.spacing,{label_standoff:r}=this.model;let d,c;if(\"vertical\"==this.model.orientation)d=t.length*this.max_label_height+Math.max(t.length-1,0)*_+2*a+this.title_height,c=(0,b.max)([o+i+r+2*a,this.title_width+2*a]);else{let e=2*a+Math.max(t.length-1,0)*_;for(const[,t]of this.text_widths)e+=(0,b.max)([t,s])+i+r;c=(0,b.max)([this.title_width+2*a,e]),d=this.max_label_height+this.title_height+2*a}const x=null!=this.layout?this.layout:this.plot_view.frame,[p,w]=x.bbox.ranges,{location:v}=this.model;let y,k;if((0,f.isString)(v))switch(v){case\"top_left\":y=p.start+h,k=w.start+h;break;case\"top\":case\"top_center\":y=(p.end+p.start)/2-c/2,k=w.start+h;break;case\"top_right\":y=p.end-h-c,k=w.start+h;break;case\"bottom_right\":y=p.end-h-c,k=w.end-h-d;break;case\"bottom\":case\"bottom_center\":y=(p.end+p.start)/2-c/2,k=w.end-h-d;break;case\"bottom_left\":y=p.start+h,k=w.end-h-d;break;case\"left\":case\"center_left\":y=p.start+h,k=(w.end+w.start)/2-d/2;break;case\"center\":case\"center_center\":y=(p.end+p.start)/2-c/2,k=(w.end+w.start)/2-d/2;break;case\"right\":case\"center_right\":y=p.end-h-c,k=(w.end+w.start)/2-d/2}else if((0,f.isArray)(v)&&2==v.length){const[t,e]=v;y=x.bbox.xview.compute(t),k=x.bbox.yview.compute(e)-d}else(0,u.unreachable)();return new m.BBox({left:y,top:k,width:c,height:d})}interactive_bbox(){return this.compute_legend_bbox()}interactive_hit(t,e){return this.interactive_bbox().contains(t,e)}on_hit(t,e){let i;const{glyph_width:l}=this.model,{legend_padding:s}=this,n=this.model.spacing,{label_standoff:o}=this.model;let h=i=s;const a=this.compute_legend_bbox(),_=\"vertical\"==this.model.orientation;for(const r of this.model.items){const d=r.get_labels_list_from_label_prop();for(const c of d){const d=a.x+h,g=a.y+i+this.title_height;let b,f;[b,f]=_?[a.width-2*s,this.max_label_height]:[this.text_widths.get(c)+l+o,this.max_label_height];if(new m.BBox({left:d,top:g,width:b,height:f}).contains(t,e)){switch(this.model.click_policy){case\"hide\":for(const t of r.renderers)t.visible=!t.visible;break;case\"mute\":for(const t of r.renderers)t.muted=!t.muted}return!0}_?i+=this.max_label_height+n:h+=this.text_widths.get(c)+l+o+n}}return!1}_render(){if(0==this.model.items.length)return;if(!(0,b.some)(this.model.items,(t=>t.visible)))return;for(const t of this.model.items)t.legend=this.model;const{ctx:t}=this.layer,e=this.compute_legend_bbox();t.save(),this._draw_legend_box(t,e),this._draw_legend_items(t,e),this._draw_title(t,e),t.restore()}_draw_legend_box(t,e){t.beginPath(),t.rect(e.x,e.y,e.width,e.height),this.visuals.background_fill.apply(t),this.visuals.border_line.apply(t)}_draw_legend_items(t,e){const{glyph_width:i,glyph_height:l}=this.model,{legend_padding:s}=this,n=this.model.spacing,{label_standoff:o}=this.model;let h=s,a=s;const _=\"vertical\"==this.model.orientation;for(const r of this.model.items){if(!r.visible)continue;const d=r.get_labels_list_from_label_prop(),c=r.get_field_from_label_prop();if(0==d.length)continue;const g=(()=>{switch(this.model.click_policy){case\"none\":return!0;case\"hide\":return(0,b.every)(r.renderers,(t=>t.visible));case\"mute\":return(0,b.every)(r.renderers,(t=>!t.muted))}})();for(const m of d){const d=e.x+h,b=e.y+a+this.title_height,f=d+i,u=b+l;_?a+=this.max_label_height+n:h+=this.text_widths.get(m)+i+o+n,this.visuals.label_text.set_value(t),t.fillText(m,f+o,b+this.max_label_height/2);for(const e of r.renderers){const i=this.plot_view.renderer_view(e);null==i||i.draw_legend(t,d,f,b,u,c,m,r.index)}if(!g){let l,n;[l,n]=_?[e.width-2*s,this.max_label_height]:[this.text_widths.get(m)+i+o,this.max_label_height],t.beginPath(),t.rect(d,b,l,n),this.visuals.inactive_fill.set_value(t),t.fill()}}}}_draw_title(t,e){const{title:i}=this.model;i&&this.visuals.title_text.doit&&(t.save(),t.translate(e.x0,e.y0+this.title_height),this.visuals.title_text.set_value(t),t.fillText(i,this.legend_padding,this.legend_padding-this.model.title_standoff),t.restore())}_get_size(){const{width:t,height:e}=this.compute_legend_bbox();return{width:t+2*this.model.margin,height:e+2*this.model.margin}}}i.LegendView=x,x.__name__=\"LegendView\";class p extends h.Annotation{constructor(t){super(t)}initialize(){super.initialize(),this.item_change=new d.Signal0(this,\"item_change\")}get_legend_names(){const t=[];for(const e of this.items){const i=e.get_labels_list_from_label_prop();t.push(...i)}return t}}i.Legend=p,o=p,p.__name__=\"Legend\",o.prototype.default_view=x,o.mixins([[\"label_\",r.Text],[\"title_\",r.Text],[\"inactive_\",r.Fill],[\"border_\",r.Line],[\"background_\",r.Fill]]),o.define((({Number:t,String:e,Array:i,Tuple:l,Or:s,Ref:n,Nullable:o})=>({orientation:[_.Orientation,\"vertical\"],location:[s(_.LegendLocation,l(t,t)),\"top_right\"],title:[o(e),null],title_standoff:[t,5],label_standoff:[t,5],glyph_height:[t,20],glyph_width:[t,20],label_height:[t,20],label_width:[t,20],margin:[t,10],padding:[t,10],spacing:[t,3],items:[i(n(a.LegendItem)),[]],click_policy:[_.LegendClickPolicy,\"none\"]}))),o.override({border_line_color:\"#e5e5e5\",border_line_alpha:.5,border_line_width:1,background_fill_color:\"#ffffff\",background_fill_alpha:.95,inactive_fill_color:\"white\",inactive_fill_alpha:.7,label_text_font_size:\"13px\",label_text_baseline:\"middle\",title_text_font_size:\"13px\",title_text_font_style:\"italic\"})},\n", " function _(e,r,l,n,t){n();const i=e(1);var s;const o=e(53),a=e(175),_=e(70),u=e(216),d=(0,i.__importStar)(e(18)),c=e(19),f=e(9);class h extends o.Model{constructor(e){super(e)}_check_data_sources_on_renderers(){if(null!=this.get_field_from_label_prop()){if(this.renderers.length<1)return!1;const e=this.renderers[0].data_source;if(null!=e)for(const r of this.renderers)if(r.data_source!=e)return!1}return!0}_check_field_label_on_data_source(){const e=this.get_field_from_label_prop();if(null!=e){if(this.renderers.length<1)return!1;const r=this.renderers[0].data_source;if(null!=r&&!(0,f.includes)(r.columns(),e))return!1}return!0}initialize(){super.initialize(),this.legend=null,this.connect(this.change,(()=>{var e;return null===(e=this.legend)||void 0===e?void 0:e.item_change.emit()}));this._check_data_sources_on_renderers()||c.logger.error(\"Non matching data sources on legend item renderers\");this._check_field_label_on_data_source()||c.logger.error(`Bad column name on label: ${this.label}`)}get_field_from_label_prop(){const{label:e}=this;return(0,u.isField)(e)?e.field:null}get_labels_list_from_label_prop(){if(!this.visible)return[];if((0,u.isValue)(this.label)){const{value:e}=this.label;return null!=e?[e]:[]}const e=this.get_field_from_label_prop();if(null!=e){let r;if(!this.renderers[0]||null==this.renderers[0].data_source)return[\"No source found\"];if(r=this.renderers[0].data_source,r instanceof _.ColumnarDataSource){const l=r.get_column(e);return null!=l?(0,f.uniq)(Array.from(l)):[\"Invalid field\"]}}return[]}}l.LegendItem=h,s=h,h.__name__=\"LegendItem\",s.define((({Boolean:e,Int:r,Array:l,Ref:n,Nullable:t})=>({label:[d.NullStringSpec,null],renderers:[l(n(a.GlyphRenderer)),[]],index:[t(r),null],visible:[e,!0]})))},\n", " function _(i,n,e,t,u){t();const c=i(8);e.isValue=function(i){return(0,c.isPlainObject)(i)&&\"value\"in i},e.isField=function(i){return(0,c.isPlainObject)(i)&&\"field\"in i},e.isExpr=function(i){return(0,c.isPlainObject)(i)&&\"expr\"in i}},\n", " function _(t,n,e,s,i){s();const o=t(1);var a;const l=t(40),c=(0,o.__importStar)(t(48)),r=t(20);class _ extends l.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render()))}_render(){const{xs:t,ys:n}=this.model;if(t.length!=n.length)return;const e=t.length;if(e<3)return;const{frame:s}=this.plot_view,{ctx:i}=this.layer,o=this.coordinates.x_scale,a=this.coordinates.y_scale,{screen:l}=this.model;function c(t,n,e,s){return l?t:\"data\"==n?e.v_compute(t):s.v_compute(t)}const r=c(t,this.model.xs_units,o,s.bbox.xview),_=c(n,this.model.ys_units,a,s.bbox.yview);i.beginPath();for(let t=0;t({xs:[n(t),[]],xs_units:[r.SpatialUnits,\"data\"],ys:[n(t),[]],ys_units:[r.SpatialUnits,\"data\"]}))),a.internal((({Boolean:t})=>({screen:[t,!1]}))),a.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})},\n", " function _(e,t,n,o,i){o();const s=e(1);var l;const r=e(40),c=(0,s.__importStar)(e(48));class a extends r.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render()))}_render(){const{gradient:e,y_intercept:t}=this.model;if(null==e||null==t)return;const{frame:n}=this.plot_view,o=this.coordinates.x_scale,i=this.coordinates.y_scale;let s,l,r,c;if(0==e)s=i.compute(t),l=s,r=n.bbox.left,c=r+n.bbox.width;else{s=n.bbox.top,l=s+n.bbox.height;const a=(i.invert(s)-t)/e,_=(i.invert(l)-t)/e;r=o.compute(a),c=o.compute(_)}const{ctx:a}=this.layer;a.save(),a.beginPath(),this.visuals.line.set_value(a),a.moveTo(r,s),a.lineTo(c,l),a.stroke(),a.restore()}}n.SlopeView=a,a.__name__=\"SlopeView\";class _ extends r.Annotation{constructor(e){super(e)}}n.Slope=_,l=_,_.__name__=\"Slope\",l.prototype.default_view=a,l.mixins(c.Line),l.define((({Number:e,Nullable:t})=>({gradient:[t(e),null],y_intercept:[t(e),null]}))),l.override({line_color:\"black\"})},\n", " function _(e,t,i,o,n){o();const s=e(1);var l;const a=e(40),r=(0,s.__importStar)(e(48)),c=e(20);class d extends a.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.plot_view.request_paint(this)))}_render(){const{location:e}=this.model;if(null==e)return;const{frame:t}=this.plot_view,i=this.coordinates.x_scale,o=this.coordinates.y_scale,n=(t,i)=>\"data\"==this.model.location_units?t.compute(e):this.model.for_hover?e:i.compute(e);let s,l,a,r;\"width\"==this.model.dimension?(a=n(o,t.bbox.yview),l=t.bbox.left,r=t.bbox.width,s=this.model.line_width):(a=t.bbox.top,l=n(i,t.bbox.xview),r=this.model.line_width,s=t.bbox.height);const{ctx:c}=this.layer;c.save(),c.beginPath(),this.visuals.line.set_value(c),c.moveTo(l,a),\"width\"==this.model.dimension?c.lineTo(l+r,a):c.lineTo(l,a+s),c.stroke(),c.restore()}}i.SpanView=d,d.__name__=\"SpanView\";class _ extends a.Annotation{constructor(e){super(e)}}i.Span=_,l=_,_.__name__=\"Span\",l.prototype.default_view=d,l.mixins(r.Line),l.define((({Number:e,Nullable:t})=>({render_mode:[c.RenderMode,\"canvas\"],location:[t(e),null],location_units:[c.SpatialUnits,\"data\"],dimension:[c.Dimension,\"width\"]}))),l.internal((({Boolean:e})=>({for_hover:[e,!1]}))),l.override({line_color:\"black\"})},\n", " function _(i,e,t,o,l){var s;o();const a=i(40),_=i(221),n=i(113),r=i(43),h=i(123),b=i(65);class v extends a.AnnotationView{constructor(){super(...arguments),this._invalidate_toolbar=!0,this._previous_bbox=new b.BBox}update_layout(){this.layout=new h.SideLayout(this.panel,(()=>this.get_size()),!0)}initialize(){super.initialize(),this.el=(0,r.div)(),this.plot_view.canvas_view.add_event(this.el)}async lazy_initialize(){await super.lazy_initialize(),this._toolbar_view=await(0,n.build_view)(this.model.toolbar,{parent:this}),this.plot_view.visibility_callbacks.push((i=>this._toolbar_view.set_visibility(i)))}remove(){this._toolbar_view.remove(),(0,r.remove)(this.el),super.remove()}render(){this.model.visible||(0,r.undisplay)(this.el),super.render()}_render(){const{bbox:i}=this.layout;this._previous_bbox.equals(i)||((0,r.position)(this.el,i),this._previous_bbox=i,this._invalidate_toolbar=!0),this._invalidate_toolbar&&(this.el.style.position=\"absolute\",this.el.style.overflow=\"hidden\",(0,r.empty)(this.el),this.el.appendChild(this._toolbar_view.el),this._toolbar_view.layout.bbox=i,this._toolbar_view.render(),this._invalidate_toolbar=!1),(0,r.display)(this.el)}_get_size(){const{tools:i,logo:e}=this.model.toolbar;return{width:30*i.length+(null!=e?25:0)+15,height:30}}}t.ToolbarPanelView=v,v.__name__=\"ToolbarPanelView\";class d extends a.Annotation{constructor(i){super(i)}}t.ToolbarPanel=d,s=d,d.__name__=\"ToolbarPanel\",s.prototype.default_view=v,s.define((({Ref:i})=>({toolbar:[i(_.Toolbar)]})))},\n", " function _(t,e,s,i,o){var c;i();const n=t(8),a=t(9),l=t(13),r=t(222),_=t(223),u=t(232),p=t(233);function v(t){switch(t){case\"tap\":return\"active_tap\";case\"pan\":return\"active_drag\";case\"pinch\":case\"scroll\":return\"active_scroll\";case\"multi\":return\"active_multi\"}return null}function h(t){return\"tap\"==t||\"pan\"==t}s.Drag=r.Tool,s.Inspection=r.Tool,s.Scroll=r.Tool,s.Tap=r.Tool;class f extends p.ToolbarBase{constructor(t){super(t)}connect_signals(){super.connect_signals();const{tools:t,active_drag:e,active_inspect:s,active_scroll:i,active_tap:o,active_multi:c}=this.properties;this.on_change([t,e,s,i,o,c],(()=>this._init_tools()))}_init_tools(){if(super._init_tools(),\"auto\"==this.active_inspect);else if(this.active_inspect instanceof u.InspectTool){let t=!1;for(const e of this.inspectors)e!=this.active_inspect?e.active=!1:t=!0;t||(this.active_inspect=null)}else if((0,n.isArray)(this.active_inspect)){const t=(0,a.intersection)(this.active_inspect,this.inspectors);t.length!=this.active_inspect.length&&(this.active_inspect=t);for(const t of this.inspectors)(0,a.includes)(this.active_inspect,t)||(t.active=!1)}else if(null==this.active_inspect)for(const t of this.inspectors)t.active=!1;const t=t=>{t.active?this._active_change(t):t.active=!0};for(const t of(0,l.values)(this.gestures)){t.tools=(0,a.sort_by)(t.tools,(t=>t.default_order));for(const e of t.tools)this.connect(e.properties.active.change,(()=>this._active_change(e)))}for(const[e,s]of(0,l.entries)(this.gestures)){const i=v(e);if(i){const o=this[i];\"auto\"==o?0!=s.tools.length&&h(e)&&t(s.tools[0]):null!=o&&((0,a.includes)(this.tools,o)?t(o):this[i]=null)}}}}s.Toolbar=f,c=f,f.__name__=\"Toolbar\",c.prototype.default_view=p.ToolbarBaseView,c.define((({Or:t,Ref:e,Auto:i,Null:o})=>({active_drag:[t(e(s.Drag),i,o),\"auto\"],active_inspect:[t(e(s.Inspection),i,o),\"auto\"],active_scroll:[t(e(s.Scroll),i,o),\"auto\"],active_tap:[t(e(s.Tap),i,o),\"auto\"],active_multi:[t(e(_.GestureTool),i,o),\"auto\"]})))},\n", " function _(t,e,n,o,s){var i;o();const a=t(42),r=t(9),l=t(53);class c extends a.View{get plot_view(){return this.parent}get plot_model(){return this.parent.model}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,(()=>{this.model.active?this.activate():this.deactivate()}))}activate(){}deactivate(){}}n.ToolView=c,c.__name__=\"ToolView\";class _ extends l.Model{constructor(t){super(t)}get synthetic_renderers(){return[]}_get_dim_limits([t,e],[n,o],s,i){const a=s.bbox.h_range;let l;\"width\"==i||\"both\"==i?(l=[(0,r.min)([t,n]),(0,r.max)([t,n])],l=[(0,r.max)([l[0],a.start]),(0,r.min)([l[1],a.end])]):l=[a.start,a.end];const c=s.bbox.v_range;let _;return\"height\"==i||\"both\"==i?(_=[(0,r.min)([e,o]),(0,r.max)([e,o])],_=[(0,r.max)([_[0],c.start]),(0,r.min)([_[1],c.end])]):_=[c.start,c.end],[l,_]}static register_alias(t,e){this.prototype._known_aliases.set(t,e)}static from_string(t){const e=this.prototype._known_aliases.get(t);if(null!=e)return e();{const e=[...this.prototype._known_aliases.keys()];throw new Error(`unexpected tool name '${t}', possible tools are ${e.join(\", \")}`)}}}n.Tool=_,i=_,_.__name__=\"Tool\",i.prototype._known_aliases=new Map,i.define((({String:t,Nullable:e})=>({description:[e(t),null]}))),i.internal((({Boolean:t})=>({active:[t,!1]})))},\n", " function _(e,o,t,s,n){s();const u=e(224),_=e(231);class l extends u.ButtonToolView{}t.GestureToolView=l,l.__name__=\"GestureToolView\";class i extends u.ButtonTool{constructor(e){super(e),this.button_view=_.OnOffButtonView}}t.GestureTool=i,i.__name__=\"GestureTool\"},\n", " function _(t,e,o,s,i){s();const n=t(1);var l;const r=(0,n.__importDefault)(t(225)),a=t(226),u=t(222),h=t(43),_=t(34),d=t(8),c=t(9),m=(0,n.__importStar)(t(227)),p=m,v=(0,n.__importDefault)(t(228)),f=(0,n.__importDefault)(t(229)),g=t(230);class b extends a.DOMView{initialize(){super.initialize();const t=this.model.menu;if(null!=t){const e=this.parent.model.toolbar_location,o=\"left\"==e||\"above\"==e,s=this.parent.model.horizontal?\"vertical\":\"horizontal\";this._menu=new g.ContextMenu(o?(0,c.reversed)(t):t,{orientation:s,prevent_hide:t=>t.target==this.el})}this._hammer=new r.default(this.el,{touchAction:\"auto\",inputClass:r.default.TouchMouseInput}),this.connect(this.model.change,(()=>this.render())),this._hammer.on(\"tap\",(t=>{var e;(null===(e=this._menu)||void 0===e?void 0:e.is_open)?this._menu.hide():t.target==this.el&&this._clicked()})),this._hammer.on(\"press\",(()=>this._pressed())),this.el.addEventListener(\"keydown\",(t=>{t.keyCode==h.Keys.Enter&&this._clicked()}))}remove(){var t;this._hammer.destroy(),null===(t=this._menu)||void 0===t||t.remove(),super.remove()}styles(){return[...super.styles(),m.default,v.default,f.default]}css_classes(){return super.css_classes().concat(p.toolbar_button)}render(){(0,h.empty)(this.el);const t=this.model.computed_icon;(0,d.isString)(t)&&((0,_.startsWith)(t,\"data:image\")?this.el.style.backgroundImage=`url(\"${t}\")`:this.el.classList.add(t)),this.el.title=this.model.tooltip,this.el.tabIndex=0,null!=this._menu&&this.root.el.appendChild(this._menu.el)}_pressed(){var t;const e=(()=>{switch(this.parent.model.toolbar_location){case\"right\":return{left_of:this.el};case\"left\":return{right_of:this.el};case\"above\":return{below:this.el};case\"below\":return{above:this.el}}})();null===(t=this._menu)||void 0===t||t.toggle(e)}}o.ButtonToolButtonView=b,b.__name__=\"ButtonToolButtonView\";class w extends u.ToolView{}o.ButtonToolView=w,w.__name__=\"ButtonToolView\";class y extends u.Tool{constructor(t){super(t)}_get_dim_tooltip(t){const{description:e,tool_name:o}=this;return null!=e?e:\"both\"==t?o:`${o} (${\"width\"==t?\"x\":\"y\"}-axis)`}get tooltip(){var t;return null!==(t=this.description)&&void 0!==t?t:this.tool_name}get computed_icon(){return this.icon}get menu(){return null}}o.ButtonTool=y,l=y,y.__name__=\"ButtonTool\",l.internal((({Boolean:t})=>({disabled:[t,!1]})))},\n", " function _(t,e,i,n,r){\n", " /*! Hammer.JS - v2.0.7 - 2016-04-22\n", " * http://hammerjs.github.io/\n", " *\n", " * Copyright (c) 2016 Jorik Tangelder;\n", " * Licensed under the MIT license */\n", " !function(t,i,n,r){\"use strict\";var s,o=[\"\",\"webkit\",\"Moz\",\"MS\",\"ms\",\"o\"],a=i.createElement(\"div\"),h=Math.round,u=Math.abs,c=Date.now;function l(t,e,i){return setTimeout(T(t,i),e)}function p(t,e,i){return!!Array.isArray(t)&&(f(t,i[e],i),!0)}function f(t,e,i){var n;if(t)if(t.forEach)t.forEach(e,i);else if(t.length!==r)for(n=0;n\\s*\\(/gm,\"{anonymous}()@\"):\"Unknown Stack Trace\",s=t.console&&(t.console.warn||t.console.log);return s&&s.call(t.console,r,n),e.apply(this,arguments)}}s=\"function\"!=typeof Object.assign?function(t){if(t===r||null===t)throw new TypeError(\"Cannot convert undefined or null to object\");for(var e=Object(t),i=1;i-1}function S(t){return t.trim().split(/\\s+/g)}function b(t,e,i){if(t.indexOf&&!i)return t.indexOf(e);for(var n=0;ni[e]})):n.sort()),n}function x(t,e){for(var i,n,s=e[0].toUpperCase()+e.slice(1),a=0;a1&&!i.firstMultiple?i.firstMultiple=H(e):1===s&&(i.firstMultiple=!1);var o=i.firstInput,a=i.firstMultiple,h=a?a.center:o.center,l=e.center=L(n);e.timeStamp=c(),e.deltaTime=e.timeStamp-o.timeStamp,e.angle=G(h,l),e.distance=j(h,l),function(t,e){var i=e.center,n=t.offsetDelta||{},r=t.prevDelta||{},s=t.prevInput||{};1!==e.eventType&&4!==s.eventType||(r=t.prevDelta={x:s.deltaX||0,y:s.deltaY||0},n=t.offsetDelta={x:i.x,y:i.y});e.deltaX=r.x+(i.x-n.x),e.deltaY=r.y+(i.y-n.y)}(i,e),e.offsetDirection=V(e.deltaX,e.deltaY);var p=U(e.deltaTime,e.deltaX,e.deltaY);e.overallVelocityX=p.x,e.overallVelocityY=p.y,e.overallVelocity=u(p.x)>u(p.y)?p.x:p.y,e.scale=a?(f=a.pointers,v=n,j(v[0],v[1],W)/j(f[0],f[1],W)):1,e.rotation=a?function(t,e){return G(e[1],e[0],W)+G(t[1],t[0],W)}(a.pointers,n):0,e.maxPointers=i.prevInput?e.pointers.length>i.prevInput.maxPointers?e.pointers.length:i.prevInput.maxPointers:e.pointers.length,function(t,e){var i,n,s,o,a=t.lastInterval||e,h=e.timeStamp-a.timeStamp;if(8!=e.eventType&&(h>25||a.velocity===r)){var c=e.deltaX-a.deltaX,l=e.deltaY-a.deltaY,p=U(h,c,l);n=p.x,s=p.y,i=u(p.x)>u(p.y)?p.x:p.y,o=V(c,l),t.lastInterval=e}else i=a.velocity,n=a.velocityX,s=a.velocityY,o=a.direction;e.velocity=i,e.velocityX=n,e.velocityY=s,e.direction=o}(i,e);var f,v;var d=t.element;_(e.srcEvent.target,d)&&(d=e.srcEvent.target);e.target=d}(t,i),t.emit(\"hammer.input\",i),t.recognize(i),t.session.prevInput=i}function H(t){for(var e=[],i=0;i=u(e)?t<0?2:4:e<0?8:16}function j(t,e,i){i||(i=F);var n=e[i[0]]-t[i[0]],r=e[i[1]]-t[i[1]];return Math.sqrt(n*n+r*r)}function G(t,e,i){i||(i=F);var n=e[i[0]]-t[i[0]],r=e[i[1]]-t[i[1]];return 180*Math.atan2(r,n)/Math.PI}q.prototype={handler:function(){},init:function(){this.evEl&&I(this.element,this.evEl,this.domHandler),this.evTarget&&I(this.target,this.evTarget,this.domHandler),this.evWin&&I(O(this.element),this.evWin,this.domHandler)},destroy:function(){this.evEl&&A(this.element,this.evEl,this.domHandler),this.evTarget&&A(this.target,this.evTarget,this.domHandler),this.evWin&&A(O(this.element),this.evWin,this.domHandler)}};var Z={mousedown:1,mousemove:2,mouseup:4},B=\"mousedown\",$=\"mousemove mouseup\";function J(){this.evEl=B,this.evWin=$,this.pressed=!1,q.apply(this,arguments)}g(J,q,{handler:function(t){var e=Z[t.type];1&e&&0===t.button&&(this.pressed=!0),2&e&&1!==t.which&&(e=4),this.pressed&&(4&e&&(this.pressed=!1),this.callback(this.manager,e,{pointers:[t],changedPointers:[t],pointerType:X,srcEvent:t}))}});var K={pointerdown:1,pointermove:2,pointerup:4,pointercancel:8,pointerout:8},Q={2:N,3:\"pen\",4:X,5:\"kinect\"},tt=\"pointerdown\",et=\"pointermove pointerup pointercancel\";function it(){this.evEl=tt,this.evWin=et,q.apply(this,arguments),this.store=this.manager.session.pointerEvents=[]}t.MSPointerEvent&&!t.PointerEvent&&(tt=\"MSPointerDown\",et=\"MSPointerMove MSPointerUp MSPointerCancel\"),g(it,q,{handler:function(t){var e=this.store,i=!1,n=t.type.toLowerCase().replace(\"ms\",\"\"),r=K[n],s=Q[t.pointerType]||t.pointerType,o=s==N,a=b(e,t.pointerId,\"pointerId\");1&r&&(0===t.button||o)?a<0&&(e.push(t),a=e.length-1):12&r&&(i=!0),a<0||(e[a]=t,this.callback(this.manager,r,{pointers:e,changedPointers:[t],pointerType:s,srcEvent:t}),i&&e.splice(a,1))}});var nt={touchstart:1,touchmove:2,touchend:4,touchcancel:8},rt=\"touchstart\",st=\"touchstart touchmove touchend touchcancel\";function ot(){this.evTarget=rt,this.evWin=st,this.started=!1,q.apply(this,arguments)}function at(t,e){var i=P(t.touches),n=P(t.changedTouches);return 12&e&&(i=D(i.concat(n),\"identifier\",!0)),[i,n]}g(ot,q,{handler:function(t){var e=nt[t.type];if(1===e&&(this.started=!0),this.started){var i=at.call(this,t,e);12&e&&i[0].length-i[1].length==0&&(this.started=!1),this.callback(this.manager,e,{pointers:i[0],changedPointers:i[1],pointerType:N,srcEvent:t})}}});var ht={touchstart:1,touchmove:2,touchend:4,touchcancel:8},ut=\"touchstart touchmove touchend touchcancel\";function ct(){this.evTarget=ut,this.targetIds={},q.apply(this,arguments)}function lt(t,e){var i=P(t.touches),n=this.targetIds;if(3&e&&1===i.length)return n[i[0].identifier]=!0,[i,i];var r,s,o=P(t.changedTouches),a=[],h=this.target;if(s=i.filter((function(t){return _(t.target,h)})),1===e)for(r=0;r-1&&n.splice(t,1)}),2500)}}function dt(t){for(var e=t.srcEvent.clientX,i=t.srcEvent.clientY,n=0;n-1&&this.requireFail.splice(e,1),this},hasRequireFailures:function(){return this.requireFail.length>0},canRecognizeWith:function(t){return!!this.simultaneous[t.id]},emit:function(t){var e=this,i=this.state;function n(i){e.manager.emit(i,t)}i<8&&n(e.options.event+Dt(i)),n(e.options.event),t.additionalEvent&&n(t.additionalEvent),i>=8&&n(e.options.event+Dt(i))},tryEmit:function(t){if(this.canEmit())return this.emit(t);this.state=bt},canEmit:function(){for(var t=0;te.threshold&&r&e.direction},attrTest:function(t){return Ot.prototype.attrTest.call(this,t)&&(2&this.state||!(2&this.state)&&this.directionTest(t))},emit:function(t){this.pX=t.deltaX,this.pY=t.deltaY;var e=xt(t.direction);e&&(t.additionalEvent=this.options.event+e),this._super.emit.call(this,t)}}),g(Mt,Ot,{defaults:{event:\"pinch\",threshold:0,pointers:2},getTouchAction:function(){return[It]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.scale-1)>this.options.threshold||2&this.state)},emit:function(t){if(1!==t.scale){var e=t.scale<1?\"in\":\"out\";t.additionalEvent=this.options.event+e}this._super.emit.call(this,t)}}),g(zt,Pt,{defaults:{event:\"press\",pointers:1,time:251,threshold:9},getTouchAction:function(){return[yt]},process:function(t){var e=this.options,i=t.pointers.length===e.pointers,n=t.distancee.time;if(this._input=t,!n||!i||12&t.eventType&&!r)this.reset();else if(1&t.eventType)this.reset(),this._timer=l((function(){this.state=8,this.tryEmit()}),e.time,this);else if(4&t.eventType)return 8;return bt},reset:function(){clearTimeout(this._timer)},emit:function(t){8===this.state&&(t&&4&t.eventType?this.manager.emit(this.options.event+\"up\",t):(this._input.timeStamp=c(),this.manager.emit(this.options.event,this._input)))}}),g(Nt,Ot,{defaults:{event:\"rotate\",threshold:0,pointers:2},getTouchAction:function(){return[It]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.rotation)>this.options.threshold||2&this.state)}}),g(Xt,Ot,{defaults:{event:\"swipe\",threshold:10,velocity:.3,direction:30,pointers:1},getTouchAction:function(){return Rt.prototype.getTouchAction.call(this)},attrTest:function(t){var e,i=this.options.direction;return 30&i?e=t.overallVelocity:6&i?e=t.overallVelocityX:i&Y&&(e=t.overallVelocityY),this._super.attrTest.call(this,t)&&i&t.offsetDirection&&t.distance>this.options.threshold&&t.maxPointers==this.options.pointers&&u(e)>this.options.velocity&&4&t.eventType},emit:function(t){var e=xt(t.offsetDirection);e&&this.manager.emit(this.options.event+e,t),this.manager.emit(this.options.event,t)}}),g(Yt,Pt,{defaults:{event:\"tap\",pointers:1,taps:1,interval:300,time:250,threshold:9,posThreshold:10},getTouchAction:function(){return[Et]},process:function(t){var e=this.options,i=t.pointers.length===e.pointers,n=t.distance .bk-divider{cursor:default;overflow:hidden;background-color:#e5e5e5;}.bk-root .bk-context-menu.bk-horizontal > .bk-divider{width:1px;margin:5px 0;}.bk-root .bk-context-menu.bk-vertical > .bk-divider{height:1px;margin:0 5px;}.bk-root .bk-context-menu > :not(.bk-divider){border:1px solid transparent;}.bk-root .bk-context-menu > :not(.bk-divider).bk-active{border-color:#26aae1;}.bk-root .bk-context-menu > :not(.bk-divider):hover{background-color:#f9f9f9;}.bk-root .bk-context-menu > :not(.bk-divider):focus,.bk-root .bk-context-menu > :not(.bk-divider):focus-visible{outline:1px dotted #26aae1;outline-offset:-1px;}.bk-root .bk-context-menu > :not(.bk-divider)::-moz-focus-inner{border:0;}.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):first-child{border-top-left-radius:4px;border-bottom-left-radius:4px;}.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):last-child{border-top-right-radius:4px;border-bottom-right-radius:4px;}.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):first-child{border-top-left-radius:4px;border-top-right-radius:4px;}.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):last-child{border-bottom-left-radius:4px;border-bottom-right-radius:4px;}.bk-root .bk-menu{position:absolute;left:0;width:100%;z-index:100;cursor:pointer;font-size:12px;background-color:#fff;border:1px solid #ccc;border-radius:4px;box-shadow:0 6px 12px rgba(0, 0, 0, 0.175);}.bk-root .bk-menu.bk-above{bottom:100%;}.bk-root .bk-menu.bk-below{top:100%;}.bk-root .bk-menu > .bk-divider{height:1px;margin:7.5px 0;overflow:hidden;background-color:#e5e5e5;}.bk-root .bk-menu > :not(.bk-divider){padding:6px 12px;}.bk-root .bk-menu > :not(.bk-divider):hover,.bk-root .bk-menu > :not(.bk-divider).bk-active{background-color:#e6e6e6;}.bk-root .bk-caret{display:inline-block;vertical-align:middle;width:0;height:0;margin:0 5px;}.bk-root .bk-caret.bk-down{border-top:4px solid;}.bk-root .bk-caret.bk-up{border-bottom:4px solid;}.bk-root .bk-caret.bk-down,.bk-root .bk-caret.bk-up{border-right:4px solid transparent;border-left:4px solid transparent;}.bk-root .bk-caret.bk-left{border-right:4px solid;}.bk-root .bk-caret.bk-right{border-left:4px solid;}.bk-root .bk-caret.bk-left,.bk-root .bk-caret.bk-right{border-top:4px solid transparent;border-bottom:4px solid transparent;}\"},\n", " function _(t,e,i,n,o){n();const s=t(1),l=t(43),h=t(9),r=(0,s.__importStar)(t(229));class d{constructor(t,e={}){var i,n;this.items=t,this.el=(0,l.div)(),this._open=!1,this._item_click=t=>{var e;null===(e=t.handler)||void 0===e||e.call(t),this.hide()},this._on_mousedown=t=>{var e;const{target:i}=t;i instanceof Node&&this.el.contains(i)||(null===(e=this.prevent_hide)||void 0===e?void 0:e.call(this,t))||this.hide()},this._on_keydown=t=>{t.keyCode==l.Keys.Esc&&this.hide()},this._on_blur=()=>{this.hide()},this.orientation=null!==(i=e.orientation)&&void 0!==i?i:\"vertical\",this.reversed=null!==(n=e.reversed)&&void 0!==n&&n,this.prevent_hide=e.prevent_hide,(0,l.undisplay)(this.el)}get is_open(){return this._open}get can_open(){return 0!=this.items.length}remove(){(0,l.remove)(this.el),this._unlisten()}_listen(){document.addEventListener(\"mousedown\",this._on_mousedown),document.addEventListener(\"keydown\",this._on_keydown),window.addEventListener(\"blur\",this._on_blur)}_unlisten(){document.removeEventListener(\"mousedown\",this._on_mousedown),document.removeEventListener(\"keydown\",this._on_keydown),window.removeEventListener(\"blur\",this._on_blur)}_position(t){const e=this.el.parentElement;if(null!=e){const i=(()=>{if(\"left_of\"in t){const{left:e,top:i}=t.left_of.getBoundingClientRect();return{right:e,top:i}}if(\"right_of\"in t){const{top:e,right:i}=t.right_of.getBoundingClientRect();return{left:i,top:e}}if(\"below\"in t){const{left:e,bottom:i}=t.below.getBoundingClientRect();return{left:e,top:i}}if(\"above\"in t){const{left:e,top:i}=t.above.getBoundingClientRect();return{left:e,bottom:i}}return t})(),n=e.getBoundingClientRect();this.el.style.left=null!=i.left?i.left-n.left+\"px\":\"\",this.el.style.top=null!=i.top?i.top-n.top+\"px\":\"\",this.el.style.right=null!=i.right?n.right-i.right+\"px\":\"\",this.el.style.bottom=null!=i.bottom?n.bottom-i.bottom+\"px\":\"\"}}render(){var t;(0,l.empty)(this.el,!0),(0,l.classes)(this.el).add(\"bk-context-menu\",`bk-${this.orientation}`);const e=this.reversed?(0,h.reversed)(this.items):this.items;for(const i of e){let e;if(null==i)e=(0,l.div)({class:r.divider});else{if(null!=i.if&&!i.if())continue;if(null!=i.content)e=i.content;else{const n=null!=i.icon?(0,l.div)({class:[\"bk-menu-icon\",i.icon]}):null,o=[(null===(t=i.active)||void 0===t?void 0:t.call(i))?\"bk-active\":null,i.class];e=(0,l.div)({class:o,title:i.tooltip,tabIndex:0},n,i.label,i.content),e.addEventListener(\"click\",(()=>{this._item_click(i)})),e.addEventListener(\"keydown\",(t=>{t.keyCode==l.Keys.Enter&&this._item_click(i)}))}}this.el.appendChild(e)}}show(t){if(0!=this.items.length&&!this._open){if(this.render(),0==this.el.children.length)return;this._position(null!=t?t:{left:0,top:0}),(0,l.display)(this.el),this._listen(),this._open=!0}}hide(){this._open&&(this._open=!1,this._unlisten(),(0,l.undisplay)(this.el))}toggle(t){this._open?this.hide():this.show(t)}}i.ContextMenu=d,d.__name__=\"ContextMenu\"},\n", " function _(t,e,i,n,o){n();const s=t(1),c=t(224),l=(0,s.__importStar)(t(227)),a=t(43);class _ extends c.ButtonToolButtonView{render(){super.render(),(0,a.classes)(this.el).toggle(l.active,this.model.active)}_clicked(){const{active:t}=this.model;this.model.active=!t}}i.OnOffButtonView=_,_.__name__=\"OnOffButtonView\"},\n", " function _(e,o,t,n,s){var c;n();const l=e(224),_=e(231);class i extends l.ButtonToolView{}t.InspectToolView=i,i.__name__=\"InspectToolView\";class a extends l.ButtonTool{constructor(e){super(e),this.event_type=\"move\"}}t.InspectTool=a,c=a,a.__name__=\"InspectTool\",c.prototype.button_view=_.OnOffButtonView,c.define((({Boolean:e})=>({toggleable:[e,!0]}))),c.override({active:!0})},\n", " function _(t,o,e,l,i){l();const s=t(1);var n,a;const r=t(19),c=t(43),h=t(113),_=t(226),u=t(20),v=t(9),d=t(234),p=t(13),b=t(8),g=t(235),f=t(65),m=t(53),w=t(222),y=t(223),T=t(238),z=t(239),x=t(232),B=t(230),C=(0,s.__importStar)(t(227)),k=C,L=(0,s.__importStar)(t(240)),M=L;class S extends m.Model{constructor(t){super(t)}get visible(){var t;return!this.autohide||null!==(t=this._visible)&&void 0!==t&&t}}e.ToolbarViewModel=S,n=S,S.__name__=\"ToolbarViewModel\",n.define((({Boolean:t})=>({autohide:[t,!1]}))),n.internal((({Boolean:t,Nullable:o})=>({_visible:[o(t),null]})));class $ extends _.DOMView{constructor(){super(...arguments),this.layout={bbox:new f.BBox}}initialize(){super.initialize(),this._tool_button_views=new Map,this._toolbar_view_model=new S({autohide:this.model.autohide});const{toolbar_location:t}=this.model,o=\"left\"==t||\"above\"==t,e=this.model.horizontal?\"vertical\":\"horizontal\";this._overflow_menu=new B.ContextMenu([],{orientation:e,reversed:o})}async lazy_initialize(){await super.lazy_initialize(),await this._build_tool_button_views()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.tools.change,(async()=>{await this._build_tool_button_views(),this.render()})),this.connect(this.model.properties.autohide.change,(()=>{this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change()})),this.connect(this._toolbar_view_model.properties._visible.change,(()=>this._on_visible_change()))}styles(){return[...super.styles(),C.default,L.default]}remove(){(0,h.remove_views)(this._tool_button_views),super.remove()}async _build_tool_button_views(){const t=null!=this.model._proxied_tools?this.model._proxied_tools:this.model.tools;await(0,h.build_views)(this._tool_button_views,t,{parent:this},(t=>t.button_view))}set_visibility(t){t!=this._toolbar_view_model._visible&&(this._toolbar_view_model._visible=t)}_on_visible_change(){const{visible:t}=this._toolbar_view_model;(0,c.classes)(this.el).toggle(k.toolbar_hidden,!t)}render(){(0,c.empty)(this.el),this.el.classList.add(k.toolbar),this.el.classList.add(k[this.model.toolbar_location]),this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change();const{horizontal:t}=this.model;let o=0;if(null!=this.model.logo){const e=\"grey\"===this.model.logo?M.grey:null,l=(0,c.a)({href:\"https://bokeh.org/\",target:\"_blank\",class:[M.logo,M.logo_small,e]});this.el.appendChild(l);const{width:i,height:s}=l.getBoundingClientRect();o+=t?i:s}for(const[,t]of this._tool_button_views)t.render();const e=[],l=t=>this._tool_button_views.get(t).el,{gestures:i}=this.model;for(const t of(0,p.values)(i))e.push(t.tools.map(l));e.push(this.model.actions.map(l)),e.push(this.model.inspectors.filter((t=>t.toggleable)).map(l));const s=e.filter((t=>0!=t.length)),n=()=>(0,c.div)({class:k.divider}),{bbox:a}=this.layout;let r=!1;this.root.el.appendChild(this._overflow_menu.el);const h=(0,c.div)({class:k.tool_overflow,tabIndex:0},t?\"\\u22ee\":\"\\u22ef\"),_=()=>{const t=(()=>{switch(this.model.toolbar_location){case\"right\":return{left_of:h};case\"left\":return{right_of:h};case\"above\":return{below:h};case\"below\":return{above:h}}})();this._overflow_menu.toggle(t)};h.addEventListener(\"click\",(()=>{_()})),h.addEventListener(\"keydown\",(t=>{t.keyCode==c.Keys.Enter&&_()}));for(const e of(0,d.join)(s,n))if(r)this._overflow_menu.items.push({content:e,class:t?k.right:k.above});else{this.el.appendChild(e);const{width:l,height:i}=e.getBoundingClientRect();if(o+=t?l:i,r=t?o>a.width-15:o>a.height-15,r){this.el.removeChild(e),this.el.appendChild(h);const{items:t}=this._overflow_menu;t.splice(0,t.length),t.push({content:e})}}}update_layout(){}update_position(){}after_layout(){this._has_finished=!0}export(t,o=!0){const e=\"png\"==t?\"canvas\":\"svg\",l=new g.CanvasLayer(e,o);return l.resize(0,0),l}}function V(){return{pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}}}e.ToolbarBaseView=$,$.__name__=\"ToolbarBaseView\";class A extends m.Model{constructor(t){super(t)}initialize(){super.initialize(),this._init_tools()}_init_tools(){const t=function(t,o){if(t.length!=o.length)return!0;const e=new Set(o.map((t=>t.id)));return(0,v.some)(t,(t=>!e.has(t.id)))},o=this.tools.filter((t=>t instanceof x.InspectTool));t(this.inspectors,o)&&(this.inspectors=o);const e=this.tools.filter((t=>t instanceof z.HelpTool));t(this.help,e)&&(this.help=e);const l=this.tools.filter((t=>t instanceof T.ActionTool));t(this.actions,l)&&(this.actions=l);const i=(t,o)=>{t in this.gestures||r.logger.warn(`Toolbar: unknown event type '${t}' for tool: ${o}`)},s={pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}};for(const t of this.tools)if(t instanceof y.GestureTool&&t.event_type)if((0,b.isString)(t.event_type))s[t.event_type].tools.push(t),i(t.event_type,t);else{s.multi.tools.push(t);for(const o of t.event_type)i(o,t)}for(const o of Object.keys(s)){const e=this.gestures[o];t(e.tools,s[o].tools)&&(e.tools=s[o].tools),e.active&&(0,v.every)(e.tools,(t=>t.id!=e.active.id))&&(e.active=null)}}get horizontal(){return\"above\"===this.toolbar_location||\"below\"===this.toolbar_location}get vertical(){return\"left\"===this.toolbar_location||\"right\"===this.toolbar_location}_active_change(t){const{event_type:o}=t;if(null==o)return;const e=(0,b.isString)(o)?[o]:o;for(const o of e)if(t.active){const e=this.gestures[o].active;null!=e&&t!=e&&(r.logger.debug(`Toolbar: deactivating tool: ${e} for event type '${o}'`),e.active=!1),this.gestures[o].active=t,r.logger.debug(`Toolbar: activating tool: ${t} for event type '${o}'`)}else this.gestures[o].active=null}}e.ToolbarBase=A,a=A,A.__name__=\"ToolbarBase\",a.prototype.default_view=$,a.define((({Boolean:t,Array:o,Ref:e,Nullable:l})=>({tools:[o(e(w.Tool)),[]],logo:[l(u.Logo),\"normal\"],autohide:[t,!1]}))),a.internal((({Array:t,Struct:o,Ref:e,Nullable:l})=>{const i=o({tools:t(e(y.GestureTool)),active:l(e(w.Tool))});return{gestures:[o({pan:i,scroll:i,pinch:i,tap:i,doubletap:i,press:i,pressup:i,rotate:i,move:i,multi:i}),V],actions:[t(e(T.ActionTool)),[]],inspectors:[t(e(x.InspectTool)),[]],help:[t(e(z.HelpTool)),[]],toolbar_location:[u.Location,\"right\"]}}))},\n", " function _(n,o,e,t,f){t();const r=n(9);function*i(n,o){const e=n.length;if(o>e)return;const t=(0,r.range)(o);for(yield t.map((o=>n[o]));;){let f;for(const n of(0,r.reversed)((0,r.range)(o)))if(t[n]!=n+e-o){f=n;break}if(null==f)return;t[f]+=1;for(const n of(0,r.range)(f+1,o))t[n]=t[n-1]+1;yield t.map((o=>n[o]))}}e.enumerate=function*(n){let o=0;for(const e of n)yield[e,o++]},e.join=function*(n,o){let e=!0;for(const t of n)e?e=!1:null!=o&&(yield o()),yield*t},e.combinations=i,e.subsets=function*(n){for(const o of(0,r.range)(n.length+1))yield*i(n,o)}},\n", " function _(t,e,s,i,n){i();const o=t(236),a=t(65),r=t(43);function h(t){!function(t){void 0===t.lineDash&&Object.defineProperty(t,\"lineDash\",{get:()=>t.getLineDash(),set:e=>t.setLineDash(e)})}(t),function(t){t.setImageSmoothingEnabled=e=>{t.imageSmoothingEnabled=e,t.mozImageSmoothingEnabled=e,t.oImageSmoothingEnabled=e,t.webkitImageSmoothingEnabled=e,t.msImageSmoothingEnabled=e},t.getImageSmoothingEnabled=()=>{const e=t.imageSmoothingEnabled;return null==e||e}}(t),function(t){t.ellipse||(t.ellipse=function(e,s,i,n,o,a,r,h=!1){const l=.551784;t.translate(e,s),t.rotate(o);let c=i,g=n;h&&(c=-i,g=-n),t.moveTo(-c,0),t.bezierCurveTo(-c,g*l,-c*l,g,0,g),t.bezierCurveTo(c*l,g,c,g*l,c,0),t.bezierCurveTo(c,-g*l,c*l,-g,0,-g),t.bezierCurveTo(-c*l,-g,-c,-g*l,-c,0),t.rotate(-o),t.translate(-e,-s)})}(t)}const l={position:\"absolute\",top:\"0\",left:\"0\",width:\"100%\",height:\"100%\"};class c{constructor(t,e){switch(this.backend=t,this.hidpi=e,this.pixel_ratio=1,this.bbox=new a.BBox,t){case\"webgl\":case\"canvas\":{this._el=this._canvas=(0,r.canvas)({style:l});const t=this.canvas.getContext(\"2d\");if(null==t)throw new Error(\"unable to obtain 2D rendering context\");this._ctx=t,e&&(this.pixel_ratio=devicePixelRatio);break}case\"svg\":{const t=new o.SVGRenderingContext2D;this._ctx=t,this._canvas=t.get_svg(),this._el=(0,r.div)({style:l},this._canvas);break}}this._ctx.layer=this,h(this._ctx)}get canvas(){return this._canvas}get ctx(){return this._ctx}get el(){return this._el}resize(t,e){this.bbox=new a.BBox({left:0,top:0,width:t,height:e});const s=this._ctx instanceof o.SVGRenderingContext2D?this._ctx:this.canvas;s.width=t*this.pixel_ratio,s.height=e*this.pixel_ratio}undo_transform(t){const{ctx:e}=this;if(void 0===e.getTransform)t(e);else{const s=e.getTransform();e.setTransform(this._base_transform);try{t(e)}finally{e.setTransform(s)}}}prepare(){const{ctx:t,hidpi:e,pixel_ratio:s}=this;t.save(),e&&(t.scale(s,s),t.translate(.5,.5)),void 0!==t.getTransform&&(this._base_transform=t.getTransform()),this.clear()}clear(){const{x:t,y:e,width:s,height:i}=this.bbox;this.ctx.clearRect(t,e,s,i)}finish(){this.ctx.restore()}to_blob(){const{_canvas:t}=this;if(t instanceof HTMLCanvasElement)return null!=t.msToBlob?Promise.resolve(t.msToBlob()):new Promise(((e,s)=>{t.toBlob((t=>null!=t?e(t):s()),\"image/png\")}));{const t=this._ctx.get_serialized_svg(!0),e=new Blob([t],{type:\"image/svg+xml\"});return Promise.resolve(e)}}}s.CanvasLayer=c,c.__name__=\"CanvasLayer\"},\n", " function _(t,e,i,s,r){s();const n=t(122),a=t(8),o=t(237),l=t(43);function h(t){var e;const i={left:\"start\",right:\"end\",center:\"middle\",start:\"start\",end:\"end\"};return null!==(e=i[t])&&void 0!==e?e:i.start}function _(t){var e;const i={alphabetic:\"alphabetic\",hanging:\"hanging\",top:\"text-before-edge\",bottom:\"text-after-edge\",middle:\"central\"};return null!==(e=i[t])&&void 0!==e?e:i.alphabetic}const c=function(t,e){const i=new Map,s=t.split(\",\");e=null!=e?e:10;for(let t=0;t=0?Math.acos(e):-Math.acos(e)}const v=b(f),A=b(g);this.lineTo(d+f[0]*r,m+f[1]*r),this.arc(d,m,r,v,A)}stroke(){\"path\"===this.__currentElement.nodeName&&this.__currentElement.setAttribute(\"paint-order\",\"fill\"),this.__applyCurrentDefaultPath(),this.__applyStyleToCurrentElement(\"stroke\"),null!=this._clip_path&&this.__currentElement.setAttribute(\"clip-path\",this._clip_path)}fill(t,e){let i=null;if(t instanceof Path2D)i=t;else{if(\"evenodd\"!=t&&\"nonzero\"!=t&&null!=t||null!=e)throw new Error(\"invalid arguments\");e=t}if(null!=i)throw new Error(\"not implemented\");\"none\"!=this.__currentElement.getAttribute(\"fill\")&&this.__init_element(),\"path\"===this.__currentElement.nodeName&&this.__currentElement.setAttribute(\"paint-order\",\"stroke\"),this.__applyCurrentDefaultPath(),this.__applyStyleToCurrentElement(\"fill\"),null!=e&&this.__currentElement.setAttribute(\"fill-rule\",e),null!=this._clip_path&&this.__currentElement.setAttribute(\"clip-path\",this._clip_path)}rect(t,e,i,s){isFinite(t+e+i+s)&&(this.moveTo(t,e),this.lineTo(t+i,e),this.lineTo(t+i,e+s),this.lineTo(t,e+s),this.lineTo(t,e))}fillRect(t,e,i,s){isFinite(t+e+i+s)&&(this.beginPath(),this.rect(t,e,i,s),this.fill())}strokeRect(t,e,i,s){isFinite(t+e+i+s)&&(this.beginPath(),this.rect(t,e,i,s),this.stroke())}__clearCanvas(){(0,l.empty)(this.__defs),(0,l.empty)(this.__root),this.__root.appendChild(this.__defs),this.__currentElement=this.__root}clearRect(t,e,i,s){if(!isFinite(t+e+i+s))return;if(0===t&&0===e&&i===this.width&&s===this.height)return void this.__clearCanvas();const r=this.__createElement(\"rect\",{x:t,y:e,width:i,height:s,fill:\"#FFFFFF\"},!0);this._apply_transform(r),this.__root.appendChild(r)}createLinearGradient(t,e,i,s){if(!isFinite(t+e+i+s))throw new Error(\"The provided double value is non-finite\");const[r,n]=this._transform.apply(t,e),[a,o]=this._transform.apply(i,s),l=this.__createElement(\"linearGradient\",{id:this._random_string(),x1:`${r}px`,x2:`${a}px`,y1:`${n}px`,y2:`${o}px`,gradientUnits:\"userSpaceOnUse\"},!1);return this.__defs.appendChild(l),new u(l,this)}createRadialGradient(t,e,i,s,r,n){if(!isFinite(t+e+i+s+r+n))throw new Error(\"The provided double value is non-finite\");const[a,o]=this._transform.apply(t,e),[l,h]=this._transform.apply(s,r),_=this.__createElement(\"radialGradient\",{id:this._random_string(),cx:`${l}px`,cy:`${h}px`,r:`${n}px`,r0:`${i}px`,fx:`${a}px`,fy:`${o}px`,gradientUnits:\"userSpaceOnUse\"},!1);return this.__defs.appendChild(_),new u(_,this)}__parseFont(){var t,e,i,s,r;const 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r=this.__parseFont(),n=this.__createElement(\"text\",{\"font-family\":r.family,\"font-size\":r.size,\"font-style\":r.style,\"font-weight\":r.weight,\"text-decoration\":r.decoration,x:e,y:i,\"text-anchor\":h(this.textAlign),\"dominant-baseline\":_(this.textBaseline)},!0);n.appendChild(this.__document.createTextNode(t)),this._apply_transform(n),this.__currentElement=n,this.__applyStyleToCurrentElement(s);const a=(()=>{if(null!=this._clip_path){const t=this.__createElement(\"g\");return t.setAttribute(\"clip-path\",this._clip_path),t.appendChild(n),t}return n})();this.__root.appendChild(a)}fillText(t,e,i){null!=t&&isFinite(e+i)&&this.__applyText(t,e,i,\"fill\")}strokeText(t,e,i){null!=t&&isFinite(e+i)&&this.__applyText(t,e,i,\"stroke\")}measureText(t){return this.__ctx.font=this.font,this.__ctx.measureText(t)}arc(t,e,i,s,r,n=!1){this.ellipse(t,e,i,i,0,s,r,n)}ellipse(t,e,i,s,r,n,a,o=!1){if(!isFinite(t+e+i+s+r+n+a))return;if(i<0||s<0)throw new DOMException(\"IndexSizeError, radius can't be negative\");(n%=2*Math.PI)===(a%=2*Math.PI)&&(a=(a+2*Math.PI-.001*(o?-1:1))%(2*Math.PI));const l=t+i*Math.cos(a),h=e+s*Math.sin(a),_=t+i*Math.cos(n),c=e+s*Math.sin(n),p=o?0:1;let u=0,d=a-n;d<0&&(d+=2*Math.PI),u=o?d>Math.PI?0:1:d>Math.PI?1:0,this.lineTo(_,c);const[m,f]=this._transform.apply(l,h),g=180*r/Math.PI;this.__addPathCommand(m,f,`A ${i} ${s} ${g} ${u} ${p} ${m} ${f}`)}clip(){const t=this.__createElement(\"clipPath\"),e=this._random_string();this.__applyCurrentDefaultPath(),t.setAttribute(\"id\",e),t.appendChild(this.__currentElement),this.__defs.appendChild(t),this._clip_path=`url(#${e})`}drawImage(t,...e){let i,s,r,n,a,o,l,h;if(2==e.length){if([i,s]=e,!isFinite(i+s))return;a=0,o=0,l=t.width,h=t.height,r=l,n=h}else if(4==e.length){if([i,s,r,n]=e,!isFinite(i+s+r+n))return;a=0,o=0,l=t.width,h=t.height}else{if(8!==e.length)throw new Error(`Inavlid number of arguments passed to drawImage: ${arguments.length}`);if([a,o,l,h,i,s,r,n]=e,!isFinite(a+o+l+h+i+s+r+n))return}const 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e=this.__createElement(\"image\");if(e.setAttribute(\"width\",`${r}`),e.setAttribute(\"height\",`${n}`),e.setAttribute(\"preserveAspectRatio\",\"none\"),1!=this.globalAlpha&&e.setAttribute(\"opacity\",`${this.globalAlpha}`),a||o||l!==t.width||h!==t.height){const e=this.__document.createElement(\"canvas\");e.width=r,e.height=n;e.getContext(\"2d\").drawImage(t,a,o,l,h,0,0,r,n),t=e}this._apply_transform(e,c);const i=t instanceof HTMLCanvasElement?t.toDataURL():t.getAttribute(\"src\");if(e.setAttribute(\"href\",i),null!=this._clip_path){const t=this.__createElement(\"g\");t.setAttribute(\"clip-path\",this._clip_path),t.appendChild(e),_.appendChild(t)}else _.appendChild(e)}else if(t instanceof HTMLCanvasElement){const e=this.__createElement(\"image\");e.setAttribute(\"width\",`${r}`),e.setAttribute(\"height\",`${n}`),e.setAttribute(\"preserveAspectRatio\",\"none\"),1!=this.globalAlpha&&e.setAttribute(\"opacity\",`${this.globalAlpha}`);const 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HTMLCanvasElement?t.toDataURL():t.getAttribute(\"src\");e.setAttribute(\"href\",s),i.appendChild(e),this.__defs.appendChild(i)}else if(t instanceof m){for(const e of[...t.__root.childNodes])e instanceof SVGDefsElement||i.appendChild(e.cloneNode(!0));this.__defs.appendChild(i)}else{if(!(t instanceof SVGSVGElement))throw new Error(\"unsupported\");for(const e of[...t.childNodes])e instanceof SVGDefsElement||i.appendChild(e.cloneNode(!0));this.__defs.appendChild(i)}return new d(i,this)}getLineDash(){const{lineDash:t}=this;return(0,a.isString)(t)?t.split(\",\").map((t=>parseInt(t))):null==t?[]:t}setLineDash(t){t&&t.length>0?this.lineDash=t.join(\",\"):this.lineDash=null}_to_number(t){return(0,a.isNumber)(t)?t:t.baseVal.value}getTransform(){return this._transform.to_DOMMatrix()}setTransform(...t){let e;e=(0,a.isNumber)(t[0])?new DOMMatrix(t):t[0]instanceof DOMMatrix?t[0]:new DOMMatrix(Object.values(!t[0])),this._transform=n.AffineTransform.from_DOMMatrix(e)}resetTransform(){this._transform=new n.AffineTransform}isPointInPath(...t){throw new Error(\"not implemented\")}isPointInStroke(...t){throw new Error(\"not implemented\")}createImageData(...t){throw new Error(\"not implemented\")}getImageData(t,e,i,s){throw new Error(\"not implemented\")}putImageData(...t){throw new Error(\"not implemented\")}drawFocusIfNeeded(...t){throw new Error(\"not implemented\")}scrollPathIntoView(...t){throw new Error(\"not implemented\")}}i.SVGRenderingContext2D=m,m.__name__=\"SVGRenderingContext2D\",m.__random=o.random},\n", " function _(e,t,s,n,r){n();const o=2147483647;class i{constructor(e){this.seed=e%o,this.seed<=0&&(this.seed+=2147483646)}integer(){return this.seed=48271*this.seed%o,this.seed}float(){return(this.integer()-1)/2147483646}floats(e,t=0,s=1){const n=new Array(e);for(let r=0;rthis.doit(o)))}}n.ActionToolView=_,_.__name__=\"ActionToolView\";class d extends s.ButtonTool{constructor(o){super(o),this.button_view=l,this.do=new c.Signal(this,\"do\")}}n.ActionTool=d,d.__name__=\"ActionTool\"},\n", " function _(o,e,t,l,i){var s;l();const n=o(238),r=o(228);class c extends n.ActionToolView{doit(){window.open(this.model.redirect)}}t.HelpToolView=c,c.__name__=\"HelpToolView\";class _ extends n.ActionTool{constructor(o){super(o),this.tool_name=\"Help\",this.icon=r.tool_icon_help}}t.HelpTool=_,s=_,_.__name__=\"HelpTool\",s.prototype.default_view=c,s.define((({String:o})=>({redirect:[o,\"https://docs.bokeh.org/en/latest/docs/user_guide/tools.html\"]}))),s.override({description:\"Click the question mark to learn more about Bokeh plot tools.\"}),s.register_alias(\"help\",(()=>new _))},\n", " function _(o,l,g,A,r){A(),g.root=\"bk-root\",g.logo=\"bk-logo\",g.grey=\"bk-grey\",g.logo_small=\"bk-logo-small\",g.logo_notebook=\"bk-logo-notebook\",g.default=\".bk-root .bk-logo{margin:5px;position:relative;display:block;background-repeat:no-repeat;}.bk-root .bk-logo.bk-grey{filter:url(\\\"data:image/svg+xml;utf8,#grayscale\\\");filter:gray;-webkit-filter:grayscale(100%);}.bk-root .bk-logo-small{width:20px;height:20px;background-image:url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAUCAYAAACNiR0NAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAABx0RVh0U29mdHdhcmUAQWRvYmUgRmlyZXdvcmtzIENTNui8sowAAAOkSURBVDiNjZRtaJVlGMd/1/08zzln5zjP1LWcU9N0NkN8m2CYjpgQYQXqSs0I84OLIC0hkEKoPtiH3gmKoiJDU7QpLgoLjLIQCpEsNJ1vqUOdO7ppbuec5+V+rj4ctwzd8IIbbi6u+8f1539dt3A78eXC7QizUF7gyV1fD1Yqg4JWz84yffhm0qkFqBogB9rM8tZdtwVsPUhWhGcFJngGeWrPzHm5oaMmkfEg1usvLFyc8jLRqDOMru7AyC8saQr7GG7f5fvDeH7Ej8CM66nIF+8yngt6HWaKh7k49Soy9nXurCi1o3qUbS3zWfrYeQDTB/Qj6kX6Ybhw4B+bOYoLKCC9H3Nu/leUTZ1JdRWkkn2ldcCamzrcf47KKXdAJllSlxAOkRgyHsGC/zRday5Qld9DyoM4/q/rUoy/CXh3jzOu3bHUVZeU+DEn8FInkPBFlu3+nW3Nw0mk6vCDiWg8CeJaxEwuHS3+z5RgY+YBR6V1Z1nxSOfoaPa4LASWxxdNp+VWTk7+4vzaou8v8PN+xo+KY2xsw6une2frhw05CTYOmQvsEhjhWjn0bmXPjpE1+kplmmkP3suftwTubK9Vq22qKmrBhpY4jvd5afdRA3wGjFAgcnTK2s4hY0/GPNIb0nErGMCRxWOOX64Z8RAC4oCXdklmEvcL8o0BfkNK4lUg9HTl+oPlQxdNo3Mg4Nv175e/1LDGzZen30MEjRUtmXSfiTVu1kK8W4txyV6BMKlbgk3lMwYCiusNy9fVfvvwMxv8Ynl6vxoByANLTWplvuj/nF9m2+PDtt1eiHPBr1oIfhCChQMBw6Aw0UulqTKZdfVvfG7VcfIqLG9bcldL/+pdWTLxLUy8Qq38heUIjh4XlzZxzQm19lLFlr8vdQ97rjZVOLf8nclzckbcD4wxXMidpX30sFd37Fv/GtwwhzhxGVAprjbg0gCAEeIgwCZyTV2Z1REEW8O4py0wsjeloKoMr6iCY6dP92H6Vw/oTyICIthibxjm/DfN9lVz8IqtqKYLUXfoKVMVQVVJOElGjrnnUt9T9wbgp8AyYKaGlqingHZU/uG2NTZSVqwHQTWkx9hxjkpWDaCg6Ckj5qebgBVbT3V3NNXMSiWSDdGV3hrtzla7J+duwPOToIg42ChPQOQjspnSlp1V+Gjdged7+8UN5CRAV7a5EdFNwCjEaBR27b3W890TE7g24NAP/mMDXRWrGoFPQI9ls/MWO2dWFAar/xcOIImbbpA3zgAAAABJRU5ErkJggg==);}.bk-root .bk-logo-notebook{display:inline-block;vertical-align:middle;margin-right:5px;}\"},\n", " function _(e,t,s,i,l){i();const o=e(1);var n;const a=e(40),h=e(20),r=e(43),c=(0,o.__importStar)(e(242)),d=c;class p extends a.AnnotationView{initialize(){super.initialize(),this.el=(0,r.div)({class:d.tooltip}),(0,r.undisplay)(this.el),this.plot_view.canvas_view.add_overlay(this.el)}remove(){(0,r.remove)(this.el),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.content.change,(()=>this.render())),this.connect(this.model.properties.position.change,(()=>this._reposition()))}styles(){return[...super.styles(),c.default]}render(){this.model.visible||(0,r.undisplay)(this.el),super.render()}_render(){const{content:e}=this.model;null!=e?((0,r.empty)(this.el),(0,r.classes)(this.el).toggle(\"bk-tooltip-custom\",this.model.custom),this.el.appendChild(e),this.model.show_arrow&&this.el.classList.add(d.tooltip_arrow)):(0,r.undisplay)(this.el)}_reposition(){const{position:e}=this.model;if(null==e)return void(0,r.undisplay)(this.el);const[t,s]=e,i=(()=>{const e=this.parent.layout.bbox.relative(),{attachment:i}=this.model;switch(i){case\"horizontal\":return t({attachment:[h.TooltipAttachment,\"horizontal\"],inner_only:[e,!0],show_arrow:[e,!0]}))),n.internal((({Boolean:e,Number:t,Tuple:s,Ref:i,Nullable:l})=>({position:[l(s(t,t)),null],content:[i(HTMLElement),()=>(0,r.div)()],custom:[e]}))),n.override({level:\"overlay\"})},\n", " function _(o,t,r,e,l){e(),r.root=\"bk-root\",r.tooltip=\"bk-tooltip\",r.left=\"bk-left\",r.tooltip_arrow=\"bk-tooltip-arrow\",r.right=\"bk-right\",r.above=\"bk-above\",r.below=\"bk-below\",r.tooltip_row_label=\"bk-tooltip-row-label\",r.tooltip_row_value=\"bk-tooltip-row-value\",r.tooltip_color_block=\"bk-tooltip-color-block\",r.default='.bk-root{}.bk-root .bk-tooltip{font-weight:300;font-size:12px;position:absolute;padding:5px;border:1px solid #e5e5e5;color:#2f2f2f;background-color:white;pointer-events:none;opacity:0.95;z-index:100;}.bk-root .bk-tooltip > div:not(:first-child){margin-top:5px;border-top:#e5e5e5 1px dashed;}.bk-root .bk-tooltip.bk-left.bk-tooltip-arrow::before{position:absolute;margin:-7px 0 0 0;top:50%;width:0;height:0;border-style:solid;border-width:7px 0 7px 0;border-color:transparent;content:\" \";display:block;left:-10px;border-right-width:10px;border-right-color:#909599;}.bk-root .bk-tooltip.bk-left::before{left:-10px;border-right-width:10px;border-right-color:#909599;}.bk-root .bk-tooltip.bk-right.bk-tooltip-arrow::after{position:absolute;margin:-7px 0 0 0;top:50%;width:0;height:0;border-style:solid;border-width:7px 0 7px 0;border-color:transparent;content:\" \";display:block;right:-10px;border-left-width:10px;border-left-color:#909599;}.bk-root .bk-tooltip.bk-right::after{right:-10px;border-left-width:10px;border-left-color:#909599;}.bk-root .bk-tooltip.bk-above::before{position:absolute;margin:0 0 0 -7px;left:50%;width:0;height:0;border-style:solid;border-width:0 7px 0 7px;border-color:transparent;content:\" \";display:block;top:-10px;border-bottom-width:10px;border-bottom-color:#909599;}.bk-root .bk-tooltip.bk-below::after{position:absolute;margin:0 0 0 -7px;left:50%;width:0;height:0;border-style:solid;border-width:0 7px 0 7px;border-color:transparent;content:\" \";display:block;bottom:-10px;border-top-width:10px;border-top-color:#909599;}.bk-root .bk-tooltip-row-label{text-align:right;color:#26aae1;}.bk-root .bk-tooltip-row-value{color:default;}.bk-root .bk-tooltip-color-block{width:12px;height:12px;margin-left:5px;margin-right:5px;outline:#dddddd solid 1px;display:inline-block;}'},\n", " function _(e,t,s,i,r){var a;i();const l=e(115),_=e(112),h=e(113),o=e(48);class n extends l.UpperLowerView{async lazy_initialize(){await super.lazy_initialize();const{lower_head:e,upper_head:t}=this.model;null!=e&&(this.lower_head=await(0,h.build_view)(e,{parent:this})),null!=t&&(this.upper_head=await(0,h.build_view)(t,{parent:this}))}set_data(e){var t,s;super.set_data(e),null===(t=this.lower_head)||void 0===t||t.set_data(e),null===(s=this.upper_head)||void 0===s||s.set_data(e)}paint(e){if(this.visuals.line.doit)for(let t=0,s=this._lower_sx.length;t({lower_head:[t(e(_.ArrowHead)),()=>new _.TeeHead({size:10})],upper_head:[t(e(_.ArrowHead)),()=>new _.TeeHead({size:10})]}))),a.override({level:\"underlay\"})},\n", " function _(n,o,t,u,e){u(),e(\"CustomJS\",n(245).CustomJS),e(\"OpenURL\",n(247).OpenURL)},\n", " function _(t,e,s,n,c){var a;n();const r=t(246),u=t(13),o=t(34);class i extends r.Callback{constructor(t){super(t)}get names(){return(0,u.keys)(this.args)}get values(){return(0,u.values)(this.args)}get func(){const t=(0,o.use_strict)(this.code);return new Function(...this.names,\"cb_obj\",\"cb_data\",t)}execute(t,e={}){return this.func.apply(t,this.values.concat(t,e))}}s.CustomJS=i,a=i,i.__name__=\"CustomJS\",a.define((({Unknown:t,String:e,Dict:s})=>({args:[s(t),{}],code:[e,\"\"]})))},\n", " function _(c,a,l,n,s){n();const e=c(53);class o extends e.Model{constructor(c){super(c)}}l.Callback=o,o.__name__=\"Callback\"},\n", " function _(e,t,n,o,i){var s;o();const c=e(246),r=e(152),a=e(8);class d extends c.Callback{constructor(e){super(e)}navigate(e){this.same_tab?window.location.href=e:window.open(e)}execute(e,{source:t}){const n=e=>{const n=(0,r.replace_placeholders)(this.url,t,e,void 0,void 0,encodeURI);if(!(0,a.isString)(n))throw new Error(\"HTML output is not supported in this context\");this.navigate(n)},{selected:o}=t;for(const e of o.indices)n(e);for(const e of o.line_indices)n(e)}}n.OpenURL=d,s=d,d.__name__=\"OpenURL\",s.define((({Boolean:e,String:t})=>({url:[t,\"http://\"],same_tab:[e,!1]})))},\n", " function _(a,n,i,e,r){e(),r(\"Canvas\",a(249).Canvas),r(\"CartesianFrame\",a(126).CartesianFrame),r(\"CoordinateMapping\",a(54).CoordinateMapping)},\n", " function _(e,t,i,s,a){var r,l=this&&this.__createBinding||(Object.create?function(e,t,i,s){void 0===s&&(s=i),Object.defineProperty(e,s,{enumerable:!0,get:function(){return t[i]}})}:function(e,t,i,s){void 0===s&&(s=i),e[s]=t[i]}),n=this&&this.__setModuleDefault||(Object.create?function(e,t){Object.defineProperty(e,\"default\",{enumerable:!0,value:t})}:function(e,t){e.default=t}),o=this&&this.__importStar||function(e){if(e&&e.__esModule)return e;var t={};if(null!=e)for(var i in e)\"default\"!==i&&Object.prototype.hasOwnProperty.call(e,i)&&l(t,e,i);return n(t,e),t};s();const h=e(14),c=e(226),u=e(19),_=e(43),d=e(20),p=e(13),b=e(250),v=e(65),g=e(138),w=e(235);const y=(()=>{let t;return async()=>void 0!==t?t:t=await async function(){const t=document.createElement(\"canvas\"),i=t.getContext(\"webgl\",{premultipliedAlpha:!0});if(null!=i){const s=await(0,g.load_module)(Promise.resolve().then((()=>o(e(410)))));if(null!=s){const e=s.get_regl(i);if(e.has_webgl)return{canvas:t,regl_wrapper:e};u.logger.trace(\"WebGL is supported, but not the required extensions\")}else u.logger.trace(\"WebGL is supported, but bokehjs(.min).js bundle is not available\")}else u.logger.trace(\"WebGL is not supported\");return null}()})(),m={position:\"absolute\",top:\"0\",left:\"0\",width:\"100%\",height:\"100%\"};class f extends c.DOMView{constructor(){super(...arguments),this.bbox=new v.BBox,this.webgl=null}initialize(){super.initialize(),this.underlays_el=(0,_.div)({style:m}),this.primary=this.create_layer(),this.overlays=this.create_layer(),this.overlays_el=(0,_.div)({style:m}),this.events_el=(0,_.div)({class:\"bk-canvas-events\",style:m});const e=[this.underlays_el,this.primary.el,this.overlays.el,this.overlays_el,this.events_el];(0,p.extend)(this.el.style,m),(0,_.append)(this.el,...e),this.ui_event_bus=new b.UIEventBus(this)}async lazy_initialize(){await super.lazy_initialize(),\"webgl\"==this.model.output_backend&&(this.webgl=await y())}remove(){this.ui_event_bus.destroy(),super.remove()}add_underlay(e){this.underlays_el.appendChild(e)}add_overlay(e){this.overlays_el.appendChild(e)}add_event(e){this.events_el.appendChild(e)}get pixel_ratio(){return this.primary.pixel_ratio}resize(e,t){this.bbox=new v.BBox({left:0,top:0,width:e,height:t}),this.primary.resize(e,t),this.overlays.resize(e,t)}prepare_webgl(e){const{webgl:t}=this;if(null!=t){const{width:i,height:s}=this.bbox;t.canvas.width=this.pixel_ratio*i,t.canvas.height=this.pixel_ratio*s;const[a,r,l,n]=e,{xview:o,yview:h}=this.bbox,c=o.compute(a),u=h.compute(r+n),_=this.pixel_ratio;t.regl_wrapper.set_scissor(_*c,_*u,_*l,_*n),this._clear_webgl()}}blit_webgl(e){const{webgl:t}=this;if(null!=t){if(u.logger.debug(\"Blitting WebGL canvas\"),e.restore(),e.drawImage(t.canvas,0,0),e.save(),this.model.hidpi){const t=this.pixel_ratio;e.scale(t,t),e.translate(.5,.5)}this._clear_webgl()}}_clear_webgl(){const{webgl:e}=this;if(null!=e){const{regl_wrapper:t,canvas:i}=e;t.clear(i.width,i.height)}}compose(){const e=this.create_layer(),{width:t,height:i}=this.bbox;return e.resize(t,i),e.ctx.drawImage(this.primary.canvas,0,0),e.ctx.drawImage(this.overlays.canvas,0,0),e}create_layer(){const{output_backend:e,hidpi:t}=this.model;return new w.CanvasLayer(e,t)}to_blob(){return this.compose().to_blob()}}i.CanvasView=f,f.__name__=\"CanvasView\";class x extends h.HasProps{constructor(e){super(e)}}i.Canvas=x,r=x,x.__name__=\"Canvas\",r.prototype.default_view=f,r.internal((({Boolean:e})=>({hidpi:[e,!0],output_backend:[d.OutputBackend,\"canvas\"]})))},\n", " function _(t,e,s,n,i){n();const r=t(1),a=(0,r.__importDefault)(t(225)),_=t(15),h=t(19),o=t(43),l=(0,r.__importStar)(t(251)),c=t(252),p=t(9),u=t(8),v=t(27),d=t(230);class g{constructor(t){this.canvas_view=t,this.pan_start=new _.Signal(this,\"pan:start\"),this.pan=new _.Signal(this,\"pan\"),this.pan_end=new _.Signal(this,\"pan:end\"),this.pinch_start=new _.Signal(this,\"pinch:start\"),this.pinch=new _.Signal(this,\"pinch\"),this.pinch_end=new _.Signal(this,\"pinch:end\"),this.rotate_start=new _.Signal(this,\"rotate:start\"),this.rotate=new _.Signal(this,\"rotate\"),this.rotate_end=new _.Signal(this,\"rotate:end\"),this.tap=new _.Signal(this,\"tap\"),this.doubletap=new _.Signal(this,\"doubletap\"),this.press=new _.Signal(this,\"press\"),this.pressup=new _.Signal(this,\"pressup\"),this.move_enter=new _.Signal(this,\"move:enter\"),this.move=new _.Signal(this,\"move\"),this.move_exit=new _.Signal(this,\"move:exit\"),this.scroll=new _.Signal(this,\"scroll\"),this.keydown=new _.Signal(this,\"keydown\"),this.keyup=new _.Signal(this,\"keyup\"),this.hammer=new a.default(this.hit_area,{touchAction:\"auto\",inputClass:a.default.TouchMouseInput}),this._prev_move=null,this._curr_pan=null,this._curr_pinch=null,this._curr_rotate=null,this._configure_hammerjs(),this.hit_area.addEventListener(\"mousemove\",(t=>this._mouse_move(t))),this.hit_area.addEventListener(\"mouseenter\",(t=>this._mouse_enter(t))),this.hit_area.addEventListener(\"mouseleave\",(t=>this._mouse_exit(t))),this.hit_area.addEventListener(\"contextmenu\",(t=>this._context_menu(t))),this.hit_area.addEventListener(\"wheel\",(t=>this._mouse_wheel(t))),document.addEventListener(\"keydown\",this),document.addEventListener(\"keyup\",this),this.menu=new d.ContextMenu([],{prevent_hide:t=>2==t.button&&t.target==this.hit_area}),this.hit_area.appendChild(this.menu.el)}get hit_area(){return this.canvas_view.events_el}destroy(){this.menu.remove(),this.hammer.destroy(),document.removeEventListener(\"keydown\",this),document.removeEventListener(\"keyup\",this)}handleEvent(t){\"keydown\"==t.type?this._key_down(t):\"keyup\"==t.type&&this._key_up(t)}_configure_hammerjs(){this.hammer.get(\"doubletap\").recognizeWith(\"tap\"),this.hammer.get(\"tap\").requireFailure(\"doubletap\"),this.hammer.get(\"doubletap\").dropRequireFailure(\"tap\"),this.hammer.on(\"doubletap\",(t=>this._doubletap(t))),this.hammer.on(\"tap\",(t=>this._tap(t))),this.hammer.on(\"press\",(t=>this._press(t))),this.hammer.on(\"pressup\",(t=>this._pressup(t))),this.hammer.get(\"pan\").set({direction:a.default.DIRECTION_ALL}),this.hammer.on(\"panstart\",(t=>this._pan_start(t))),this.hammer.on(\"pan\",(t=>this._pan(t))),this.hammer.on(\"panend\",(t=>this._pan_end(t))),this.hammer.get(\"pinch\").set({enable:!0}),this.hammer.on(\"pinchstart\",(t=>this._pinch_start(t))),this.hammer.on(\"pinch\",(t=>this._pinch(t))),this.hammer.on(\"pinchend\",(t=>this._pinch_end(t))),this.hammer.get(\"rotate\").set({enable:!0}),this.hammer.on(\"rotatestart\",(t=>this._rotate_start(t))),this.hammer.on(\"rotate\",(t=>this._rotate(t))),this.hammer.on(\"rotateend\",(t=>this._rotate_end(t)))}register_tool(t){const e=t.model.event_type;null!=e&&((0,u.isString)(e)?this._register_tool(t,e):e.forEach(((e,s)=>this._register_tool(t,e,s<1))))}_register_tool(t,e,s=!0){const n=t,{id:i}=n.model,r=t=>e=>{e.id==i&&t(e.e)},a=t=>e=>{t(e.e)};switch(e){case\"pan\":null!=n._pan_start&&n.connect(this.pan_start,r(n._pan_start.bind(n))),null!=n._pan&&n.connect(this.pan,r(n._pan.bind(n))),null!=n._pan_end&&n.connect(this.pan_end,r(n._pan_end.bind(n)));break;case\"pinch\":null!=n._pinch_start&&n.connect(this.pinch_start,r(n._pinch_start.bind(n))),null!=n._pinch&&n.connect(this.pinch,r(n._pinch.bind(n))),null!=n._pinch_end&&n.connect(this.pinch_end,r(n._pinch_end.bind(n)));break;case\"rotate\":null!=n._rotate_start&&n.connect(this.rotate_start,r(n._rotate_start.bind(n))),null!=n._rotate&&n.connect(this.rotate,r(n._rotate.bind(n))),null!=n._rotate_end&&n.connect(this.rotate_end,r(n._rotate_end.bind(n)));break;case\"move\":null!=n._move_enter&&n.connect(this.move_enter,r(n._move_enter.bind(n))),null!=n._move&&n.connect(this.move,r(n._move.bind(n))),null!=n._move_exit&&n.connect(this.move_exit,r(n._move_exit.bind(n)));break;case\"tap\":null!=n._tap&&n.connect(this.tap,r(n._tap.bind(n))),null!=n._doubletap&&n.connect(this.doubletap,r(n._doubletap.bind(n)));break;case\"press\":null!=n._press&&n.connect(this.press,r(n._press.bind(n))),null!=n._pressup&&n.connect(this.pressup,r(n._pressup.bind(n)));break;case\"scroll\":null!=n._scroll&&n.connect(this.scroll,r(n._scroll.bind(n)));break;default:throw new Error(`unsupported event_type: ${e}`)}s&&(null!=n._keydown&&n.connect(this.keydown,a(n._keydown.bind(n))),null!=n._keyup&&n.connect(this.keyup,a(n._keyup.bind(n))),v.is_mobile&&null!=n._scroll&&\"pinch\"==e&&(h.logger.debug(\"Registering scroll on touch screen\"),n.connect(this.scroll,r(n._scroll.bind(n)))))}_hit_test_renderers(t,e,s){var n;const i=t.get_renderer_views();for(const t of(0,p.reversed)(i))if(null===(n=t.interactive_hit)||void 0===n?void 0:n.call(t,e,s))return t;return null}set_cursor(t=\"default\"){this.hit_area.style.cursor=t}_hit_test_frame(t,e,s){return t.frame.bbox.contains(e,s)}_hit_test_canvas(t,e,s){return t.layout.bbox.contains(e,s)}_hit_test_plot(t,e){for(const s of this.canvas_view.plot_views)if(s.layout.bbox.relative().contains(t,e))return s;return null}_trigger(t,e,s){var n;const{sx:i,sy:r}=e,a=this._hit_test_plot(i,r),_=t=>{const[s,n]=[i,r];return Object.assign(Object.assign({},e),{sx:s,sy:n})};if(\"panstart\"==e.type||\"pan\"==e.type||\"panend\"==e.type){let n;if(\"panstart\"==e.type&&null!=a?(this._curr_pan={plot_view:a},n=a):\"pan\"==e.type&&null!=this._curr_pan?n=this._curr_pan.plot_view:\"panend\"==e.type&&null!=this._curr_pan?(n=this._curr_pan.plot_view,this._curr_pan=null):n=null,null!=n){const e=_();this.__trigger(n,t,e,s)}}else if(\"pinchstart\"==e.type||\"pinch\"==e.type||\"pinchend\"==e.type){let n;if(\"pinchstart\"==e.type&&null!=a?(this._curr_pinch={plot_view:a},n=a):\"pinch\"==e.type&&null!=this._curr_pinch?n=this._curr_pinch.plot_view:\"pinchend\"==e.type&&null!=this._curr_pinch?(n=this._curr_pinch.plot_view,this._curr_pinch=null):n=null,null!=n){const e=_();this.__trigger(n,t,e,s)}}else if(\"rotatestart\"==e.type||\"rotate\"==e.type||\"rotateend\"==e.type){let n;if(\"rotatestart\"==e.type&&null!=a?(this._curr_rotate={plot_view:a},n=a):\"rotate\"==e.type&&null!=this._curr_rotate?n=this._curr_rotate.plot_view:\"rotateend\"==e.type&&null!=this._curr_rotate?(n=this._curr_rotate.plot_view,this._curr_rotate=null):n=null,null!=n){const e=_();this.__trigger(n,t,e,s)}}else if(\"mouseenter\"==e.type||\"mousemove\"==e.type||\"mouseleave\"==e.type){const h=null===(n=this._prev_move)||void 0===n?void 0:n.plot_view;if(null!=h&&(\"mouseleave\"==e.type||h!=a)){const{sx:t,sy:e}=_();this.__trigger(h,this.move_exit,{type:\"mouseleave\",sx:t,sy:e,shiftKey:!1,ctrlKey:!1},s)}if(null!=a&&(\"mouseenter\"==e.type||h!=a)){const{sx:t,sy:e}=_();this.__trigger(a,this.move_enter,{type:\"mouseenter\",sx:t,sy:e,shiftKey:!1,ctrlKey:!1},s)}if(null!=a&&\"mousemove\"==e.type){const e=_();this.__trigger(a,t,e,s)}this._prev_move={sx:i,sy:r,plot_view:a}}else if(null!=a){const e=_();this.__trigger(a,t,e,s)}}__trigger(t,e,s,n){var i,r;const a=t.model.toolbar.gestures,_=e.name.split(\":\")[0],h=this._hit_test_renderers(t,s.sx,s.sy),o=this._hit_test_canvas(t,s.sx,s.sy);switch(_){case\"move\":{const n=a[_].active;null!=n&&this.trigger(e,s,n.id);const r=t.model.toolbar.inspectors.filter((t=>t.active));let l=\"default\";null!=h?(l=null!==(i=h.cursor(s.sx,s.sy))&&void 0!==i?i:l,(0,p.is_empty)(r)||(e=this.move_exit)):this._hit_test_frame(t,s.sx,s.sy)&&((0,p.is_empty)(r)||(l=\"crosshair\")),this.set_cursor(l),t.set_toolbar_visibility(o),r.map((t=>this.trigger(e,s,t.id)));break}case\"tap\":{const{target:t}=n;if(null!=t&&t!=this.hit_area)return;null!=h&&null!=h.on_hit&&h.on_hit(s.sx,s.sy);const i=a[_].active;null!=i&&this.trigger(e,s,i.id);break}case\"doubletap\":{const t=null!==(r=a.doubletap.active)&&void 0!==r?r:a.tap.active;null!=t&&this.trigger(e,s,t.id);break}case\"scroll\":{const t=a[v.is_mobile?\"pinch\":\"scroll\"].active;null!=t&&(n.preventDefault(),n.stopPropagation(),this.trigger(e,s,t.id));break}case\"pan\":{const t=a[_].active;null!=t&&(n.preventDefault(),this.trigger(e,s,t.id));break}default:{const t=a[_].active;null!=t&&this.trigger(e,s,t.id)}}this._trigger_bokeh_event(t,s)}trigger(t,e,s=null){t.emit({id:s,e})}_trigger_bokeh_event(t,e){const s=(()=>{const{sx:s,sy:n}=e,i=t.frame.x_scale.invert(s),r=t.frame.y_scale.invert(n);switch(e.type){case\"wheel\":return new l.MouseWheel(s,n,i,r,e.delta);case\"mousemove\":return new l.MouseMove(s,n,i,r);case\"mouseenter\":return new l.MouseEnter(s,n,i,r);case\"mouseleave\":return new l.MouseLeave(s,n,i,r);case\"tap\":return new l.Tap(s,n,i,r);case\"doubletap\":return new l.DoubleTap(s,n,i,r);case\"press\":return new l.Press(s,n,i,r);case\"pressup\":return new l.PressUp(s,n,i,r);case\"pan\":return new l.Pan(s,n,i,r,e.deltaX,e.deltaY);case\"panstart\":return new l.PanStart(s,n,i,r);case\"panend\":return new l.PanEnd(s,n,i,r);case\"pinch\":return new l.Pinch(s,n,i,r,e.scale);case\"pinchstart\":return new l.PinchStart(s,n,i,r);case\"pinchend\":return new l.PinchEnd(s,n,i,r);case\"rotate\":return new l.Rotate(s,n,i,r,e.rotation);case\"rotatestart\":return new l.RotateStart(s,n,i,r);case\"rotateend\":return new l.RotateEnd(s,n,i,r);default:return}})();null!=s&&t.model.trigger_event(s)}_get_sxy(t){const{pageX:e,pageY:s}=function(t){return\"undefined\"!=typeof TouchEvent&&t instanceof TouchEvent}(t)?(0!=t.touches.length?t.touches:t.changedTouches)[0]:t,{left:n,top:i}=(0,o.offset)(this.hit_area);return{sx:e-n,sy:s-i}}_pan_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{deltaX:t.deltaX,deltaY:t.deltaY,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_pinch_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{scale:t.scale,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_rotate_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{rotation:t.rotation,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_tap_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_move_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_scroll_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{delta:(0,c.getDeltaY)(t),shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_key_event(t){return{type:t.type,keyCode:t.keyCode}}_pan_start(t){const e=this._pan_event(t);e.sx-=t.deltaX,e.sy-=t.deltaY,this._trigger(this.pan_start,e,t.srcEvent)}_pan(t){this._trigger(this.pan,this._pan_event(t),t.srcEvent)}_pan_end(t){this._trigger(this.pan_end,this._pan_event(t),t.srcEvent)}_pinch_start(t){this._trigger(this.pinch_start,this._pinch_event(t),t.srcEvent)}_pinch(t){this._trigger(this.pinch,this._pinch_event(t),t.srcEvent)}_pinch_end(t){this._trigger(this.pinch_end,this._pinch_event(t),t.srcEvent)}_rotate_start(t){this._trigger(this.rotate_start,this._rotate_event(t),t.srcEvent)}_rotate(t){this._trigger(this.rotate,this._rotate_event(t),t.srcEvent)}_rotate_end(t){this._trigger(this.rotate_end,this._rotate_event(t),t.srcEvent)}_tap(t){this._trigger(this.tap,this._tap_event(t),t.srcEvent)}_doubletap(t){this._trigger(this.doubletap,this._tap_event(t),t.srcEvent)}_press(t){this._trigger(this.press,this._tap_event(t),t.srcEvent)}_pressup(t){this._trigger(this.pressup,this._tap_event(t),t.srcEvent)}_mouse_enter(t){this._trigger(this.move_enter,this._move_event(t),t)}_mouse_move(t){this._trigger(this.move,this._move_event(t),t)}_mouse_exit(t){this._trigger(this.move_exit,this._move_event(t),t)}_mouse_wheel(t){this._trigger(this.scroll,this._scroll_event(t),t)}_context_menu(t){!this.menu.is_open&&this.menu.can_open&&t.preventDefault();const{sx:e,sy:s}=this._get_sxy(t);this.menu.toggle({left:e,top:s})}_key_down(t){this.trigger(this.keydown,this._key_event(t))}_key_up(t){this.trigger(this.keyup,this._key_event(t))}}s.UIEventBus=g,g.__name__=\"UIEventBus\"},\n", 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Object.assign(Object.assign({},super._to_json()),{geometry:e,final:t})}};s.SelectionGeometry=x,x.__name__=\"SelectionGeometry\",s.SelectionGeometry=x=a([o(\"selectiongeometry\")],x);let j=class extends d{};s.Reset=j,j.__name__=\"Reset\",s.Reset=j=a([o(\"reset\")],j);class y extends d{constructor(e,t,s,n){super(),this.sx=e,this.sy=t,this.x=s,this.y=n}_to_json(){const{sx:e,sy:t,x:s,y:n}=this;return Object.assign(Object.assign({},super._to_json()),{sx:e,sy:t,x:s,y:n})}}s.PointEvent=y,y.__name__=\"PointEvent\";let g=class extends y{constructor(e,t,s,n,_,a){super(e,t,s,n),this.delta_x=_,this.delta_y=a}_to_json(){const{delta_x:e,delta_y:t}=this;return Object.assign(Object.assign({},super._to_json()),{delta_x:e,delta_y:t})}};s.Pan=g,g.__name__=\"Pan\",s.Pan=g=a([o(\"pan\")],g);let P=class extends y{constructor(e,t,s,n,_){super(e,t,s,n),this.scale=_}_to_json(){const{scale:e}=this;return Object.assign(Object.assign({},super._to_json()),{scale:e})}};s.Pinch=P,P.__name__=\"Pinch\",s.Pinch=P=a([o(\"pinch\")],P);let O=class extends y{constructor(e,t,s,n,_){super(e,t,s,n),this.rotation=_}_to_json(){const{rotation:e}=this;return Object.assign(Object.assign({},super._to_json()),{rotation:e})}};s.Rotate=O,O.__name__=\"Rotate\",s.Rotate=O=a([o(\"rotate\")],O);let b=class extends y{constructor(e,t,s,n,_){super(e,t,s,n),this.delta=_}_to_json(){const{delta:e}=this;return Object.assign(Object.assign({},super._to_json()),{delta:e})}};s.MouseWheel=b,b.__name__=\"MouseWheel\",s.MouseWheel=b=a([o(\"wheel\")],b);let v=class extends y{};s.MouseMove=v,v.__name__=\"MouseMove\",s.MouseMove=v=a([o(\"mousemove\")],v);let E=class extends y{};s.MouseEnter=E,E.__name__=\"MouseEnter\",s.MouseEnter=E=a([o(\"mouseenter\")],E);let R=class extends y{};s.MouseLeave=R,R.__name__=\"MouseLeave\",s.MouseLeave=R=a([o(\"mouseleave\")],R);let M=class extends y{};s.Tap=M,M.__name__=\"Tap\",s.Tap=M=a([o(\"tap\")],M);let f=class extends y{};s.DoubleTap=f,f.__name__=\"DoubleTap\",s.DoubleTap=f=a([o(\"doubletap\")],f);let S=class extends y{};s.Press=S,S.__name__=\"Press\",s.Press=S=a([o(\"press\")],S);let D=class extends y{};s.PressUp=D,D.__name__=\"PressUp\",s.PressUp=D=a([o(\"pressup\")],D);let k=class extends y{};s.PanStart=k,k.__name__=\"PanStart\",s.PanStart=k=a([o(\"panstart\")],k);let L=class extends y{};s.PanEnd=L,L.__name__=\"PanEnd\",s.PanEnd=L=a([o(\"panend\")],L);let U=class extends y{};s.PinchStart=U,U.__name__=\"PinchStart\",s.PinchStart=U=a([o(\"pinchstart\")],U);let C=class extends y{};s.PinchEnd=C,C.__name__=\"PinchEnd\",s.PinchEnd=C=a([o(\"pinchend\")],C);let T=class extends y{};s.RotateStart=T,T.__name__=\"RotateStart\",s.RotateStart=T=a([o(\"rotatestart\")],T);let B=class extends y{};s.RotateEnd=B,B.__name__=\"RotateEnd\",s.RotateEnd=B=a([o(\"rotateend\")],B)},\n", " function _(t,e,n,l,o){\n", " /*!\n", " * jQuery Mousewheel 3.1.13\n", " *\n", " * Copyright jQuery Foundation and other contributors\n", " * Released under the MIT license\n", " * http://jquery.org/license\n", " */\n", " function u(t){const e=getComputedStyle(t).fontSize;return null!=e?parseInt(e,10):null}l(),n.getDeltaY=function(t){let e=-t.deltaY;if(t.target instanceof HTMLElement)switch(t.deltaMode){case t.DOM_DELTA_LINE:e*=(n=t.target,null!==(a=null!==(o=u(null!==(l=n.offsetParent)&&void 0!==l?l:document.body))&&void 0!==o?o:u(n))&&void 0!==a?a:16);break;case t.DOM_DELTA_PAGE:e*=function(t){return t.clientHeight}(t.target)}var n,l,o,a;return e}},\n", " function _(m,o,n,r,a){r(),a(\"Expression\",m(254).Expression),a(\"CustomJSExpr\",m(255).CustomJSExpr),a(\"Stack\",m(256).Stack),a(\"CumSum\",m(257).CumSum),a(\"ScalarExpression\",m(254).ScalarExpression),a(\"Minimum\",m(258).Minimum),a(\"Maximum\",m(259).Maximum);var s=m(260);a(\"XComponent\",s.XComponent),a(\"YComponent\",s.YComponent),a(\"PolarTransform\",m(261).PolarTransform)},\n", " function _(e,t,s,i,r){i();const n=e(53);class _ extends n.Model{constructor(e){super(e)}initialize(){super.initialize(),this._result=new Map}v_compute(e){let t=this._result.get(e);return(void 0===t||e.changed_for(this))&&(t=this._v_compute(e),this._result.set(e,t)),t}}s.Expression=_,_.__name__=\"Expression\";class o extends n.Model{constructor(e){super(e)}initialize(){super.initialize(),this._result=new Map}compute(e){let t=this._result.get(e);return(void 0===t||e.changed_for(this))&&(t=this._compute(e),this._result.set(e,t)),t}}s.ScalarExpression=o,o.__name__=\"ScalarExpression\"},\n", " function _(e,s,t,n,r){var a;n();const o=e(14),c=e(254),i=e(24),u=e(9),l=e(13),h=e(34),g=e(8);class p extends c.Expression{constructor(e){super(e)}connect_signals(){super.connect_signals();for(const e of(0,l.values)(this.args))e instanceof o.HasProps&&e.change.connect((()=>{this._result.clear(),this.change.emit()}))}get names(){return(0,l.keys)(this.args)}get values(){return(0,l.values)(this.args)}get 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Float64Array(null!==(n=e.get_length())&&void 0!==n?n:0),o=e.data[this.field],r=this.include_zero?1:0;t[0]=this.include_zero?0:o[0];for(let e=1;e({field:[n],include_zero:[e,!1]})))},\n", " function _(i,n,l,t,e){var a;t();const u=i(254),r=i(9);class s extends u.ScalarExpression{constructor(i){super(i)}_compute(i){var n,l;const t=null!==(n=i.data[this.field])&&void 0!==n?n:[];return Math.min(null!==(l=this.initial)&&void 0!==l?l:1/0,(0,r.min)(t))}}l.Minimum=s,a=s,s.__name__=\"Minimum\",a.define((({Number:i,String:n,Nullable:l})=>({field:[n],initial:[l(i),null]})))},\n", " function _(i,a,n,l,t){var e;l();const u=i(254),r=i(9);class s extends u.ScalarExpression{constructor(i){super(i)}_compute(i){var a,n;const l=null!==(a=i.data[this.field])&&void 0!==a?a:[];return Math.max(null!==(n=this.initial)&&void 0!==n?n:-1/0,(0,r.max)(l))}}n.Maximum=s,e=s,s.__name__=\"Maximum\",e.define((({Number:i,String:a,Nullable:n})=>({field:[a],initial:[n(i),null]})))},\n", " function _(n,e,t,o,r){var s;o();const _=n(254);class m extends _.Expression{constructor(n){super(n)}get x(){return new c({transform:this})}get y(){return new u({transform:this})}}t.CoordinateTransform=m,m.__name__=\"CoordinateTransform\";class a extends _.Expression{constructor(n){super(n)}}t.XYComponent=a,s=a,a.__name__=\"XYComponent\",s.define((({Ref:n})=>({transform:[n(m)]})));class c extends a{constructor(n){super(n)}_v_compute(n){return this.transform.v_compute(n).x}}t.XComponent=c,c.__name__=\"XComponent\";class u extends a{constructor(n){super(n)}_v_compute(n){return this.transform.v_compute(n).y}}t.YComponent=u,u.__name__=\"YComponent\"},\n", " function _(r,t,n,e,o){e();const i=r(1);var a;const s=r(260),c=r(20),l=(0,i.__importStar)(r(18));class d extends s.CoordinateTransform{constructor(r){super(r)}_v_compute(r){const t=this.properties.radius.uniform(r),n=this.properties.angle.uniform(r),e=\"anticlock\"==this.direction?-1:1,o=Math.min(t.length,n.length),i=new Float64Array(o),a=new Float64Array(o);for(let r=0;r({radius:[l.DistanceSpec,{field:\"radius\"}],angle:[l.AngleSpec,{field:\"angle\"}],direction:[c.Direction,\"anticlock\"]})))},\n", " function _(e,t,l,r,i){r(),i(\"BooleanFilter\",e(263).BooleanFilter),i(\"CustomJSFilter\",e(264).CustomJSFilter),i(\"Filter\",e(191).Filter),i(\"GroupFilter\",e(265).GroupFilter),i(\"IndexFilter\",e(266).IndexFilter)},\n", " function _(e,n,l,o,s){var t;o();const a=e(191),r=e(24);class c extends a.Filter{constructor(e){super(e)}compute_indices(e){const n=e.length,{booleans:l}=this;return null==l?r.Indices.all_set(n):r.Indices.from_booleans(n,l)}}l.BooleanFilter=c,t=c,c.__name__=\"BooleanFilter\",t.define((({Boolean:e,Array:n,Nullable:l})=>({booleans:[l(n(e)),null]})))},\n", " function _(e,n,r,s,t){var i;s();const o=e(191),c=e(24),u=e(13),a=e(8),l=e(34);class f extends o.Filter{constructor(e){super(e)}get names(){return(0,u.keys)(this.args)}get values(){return(0,u.values)(this.args)}get func(){const e=(0,l.use_strict)(this.code);return new Function(...this.names,\"source\",e)}compute_indices(e){const n=e.length,r=this.func(...this.values,e);if(null==r)return c.Indices.all_set(n);if((0,a.isArrayOf)(r,a.isInteger))return c.Indices.from_indices(n,r);if((0,a.isArrayOf)(r,a.isBoolean))return c.Indices.from_booleans(n,r);throw new Error(`expect an array of integers or booleans, or null, got ${r}`)}}r.CustomJSFilter=f,i=f,f.__name__=\"CustomJSFilter\",i.define((({Unknown:e,String:n,Dict:r})=>({args:[r(e),{}],code:[n,\"\"]})))},\n", " function _(n,e,t,o,r){var u;o();const s=n(191),c=n(24),i=n(19);class l extends s.Filter{constructor(n){super(n)}compute_indices(n){const e=n.get_column(this.column_name);if(null==e)return i.logger.warn(`${this}: groupby column '${this.column_name}' not found in the data source`),new c.Indices(n.length,1);{const t=new c.Indices(n.length);for(let n=0;n({column_name:[n],group:[n]})))},\n", " function _(e,n,i,s,t){var l;s();const c=e(191),r=e(24);class d extends c.Filter{constructor(e){super(e)}compute_indices(e){const n=e.length,{indices:i}=this;return null==i?r.Indices.all_set(n):r.Indices.from_indices(n,i)}}i.IndexFilter=d,l=d,d.__name__=\"IndexFilter\",l.define((({Int:e,Array:n,Nullable:i})=>({indices:[i(n(e)),null]})))},\n", " function _(e,a,l,i,t){i(),t(\"AnnularWedge\",e(268).AnnularWedge),t(\"Annulus\",e(269).Annulus),t(\"Arc\",e(270).Arc),t(\"Bezier\",e(271).Bezier),t(\"Circle\",e(272).Circle),t(\"Ellipse\",e(273).Ellipse),t(\"EllipseOval\",e(274).EllipseOval),t(\"Glyph\",e(179).Glyph),t(\"HArea\",e(187).HArea),t(\"HBar\",e(276).HBar),t(\"HexTile\",e(278).HexTile),t(\"Image\",e(279).Image),t(\"ImageRGBA\",e(281).ImageRGBA),t(\"ImageURL\",e(282).ImageURL),t(\"Line\",e(177).Line),t(\"MultiLine\",e(283).MultiLine),t(\"MultiPolygons\",e(284).MultiPolygons),t(\"Oval\",e(285).Oval),t(\"Patch\",e(186).Patch),t(\"Patches\",e(286).Patches),t(\"Quad\",e(287).Quad),t(\"Quadratic\",e(288).Quadratic),t(\"Ray\",e(289).Ray),t(\"Rect\",e(290).Rect),t(\"Scatter\",e(291).Scatter),t(\"Segment\",e(294).Segment),t(\"Spline\",e(295).Spline),t(\"Step\",e(297).Step),t(\"Text\",e(298).Text),t(\"VArea\",e(189).VArea),t(\"VBar\",e(299).VBar),t(\"Wedge\",e(300).Wedge)},\n", " function _(e,t,s,i,r){i();const n=e(1);var a;const o=e(178),_=e(184),d=e(48),u=e(24),h=e(20),c=(0,n.__importStar)(e(18)),l=e(10),p=e(72);class x extends o.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this.inner_radius):this.sinner_radius=(0,u.to_screen)(this.inner_radius),\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this.outer_radius):this.souter_radius=(0,u.to_screen)(this.outer_radius)}_render(e,t,s){const{sx:i,sy:r,start_angle:n,end_angle:a,sinner_radius:o,souter_radius:_}=null!=s?s:this,d=\"anticlock\"==this.model.direction;for(const s of t){const t=i[s],u=r[s],h=o[s],c=_[s],l=n.get(s),p=a.get(s);if(!isFinite(t+u+h+c+l+p))continue;const x=p-l;e.translate(t,u),e.rotate(l),e.beginPath(),e.moveTo(c,0),e.arc(0,0,c,0,x,d),e.rotate(x),e.lineTo(h,0),e.arc(0,0,h,0,-x,!d),e.closePath(),e.rotate(-x-l),e.translate(-t,-u),this.visuals.fill.apply(e,s),this.visuals.hatch.apply(e,s),this.visuals.line.apply(e,s)}}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),r=this.renderer.yscale.invert(s);let n,a,o,_;if(\"data\"==this.model.properties.outer_radius.units)n=i-this.max_outer_radius,o=i+this.max_outer_radius,a=r-this.max_outer_radius,_=r+this.max_outer_radius;else{const e=t-this.max_outer_radius,i=t+this.max_outer_radius;[n,o]=this.renderer.xscale.r_invert(e,i);const r=s-this.max_outer_radius,d=s+this.max_outer_radius;[a,_]=this.renderer.yscale.r_invert(r,d)}const d=[];for(const e of this.index.indices({x0:n,x1:o,y0:a,y1:_})){const t=this.souter_radius[e]**2,s=this.sinner_radius[e]**2,[n,a]=this.renderer.xscale.r_compute(i,this._x[e]),[o,_]=this.renderer.yscale.r_compute(r,this._y[e]),u=(n-a)**2+(o-_)**2;u<=t&&u>=s&&d.push(e)}const u=\"anticlock\"==this.model.direction,h=[];for(const e of d){const i=Math.atan2(s-this.sy[e],t-this.sx[e]);(0,l.angle_between)(-i,-this.start_angle.get(e),-this.end_angle.get(e),u)&&h.push(e)}return new p.Selection({indices:h})}draw_legend_for_index(e,t,s){(0,_.generic_area_vector_legend)(this.visuals,e,t,s)}scenterxy(e){const t=(this.sinner_radius[e]+this.souter_radius[e])/2,s=(this.start_angle.get(e)+this.end_angle.get(e))/2;return[this.sx[e]+t*Math.cos(s),this.sy[e]+t*Math.sin(s)]}}s.AnnularWedgeView=x,x.__name__=\"AnnularWedgeView\";class g extends o.XYGlyph{constructor(e){super(e)}}s.AnnularWedge=g,a=g,g.__name__=\"AnnularWedge\",a.prototype.default_view=x,a.mixins([d.LineVector,d.FillVector,d.HatchVector]),a.define((({})=>({direction:[h.Direction,\"anticlock\"],inner_radius:[c.DistanceSpec,{field:\"inner_radius\"}],outer_radius:[c.DistanceSpec,{field:\"outer_radius\"}],start_angle:[c.AngleSpec,{field:\"start_angle\"}],end_angle:[c.AngleSpec,{field:\"end_angle\"}]})))},\n", " function _(s,e,i,r,t){r();const n=s(1);var a;const u=s(178),o=s(24),_=s(48),d=(0,n.__importStar)(s(18)),h=s(27),c=s(72);class l extends u.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this.inner_radius):this.sinner_radius=(0,o.to_screen)(this.inner_radius),\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this.outer_radius):this.souter_radius=(0,o.to_screen)(this.outer_radius)}_render(s,e,i){const{sx:r,sy:t,sinner_radius:n,souter_radius:a}=null!=i?i:this;for(const i of e){const e=r[i],u=t[i],o=n[i],_=a[i];if(isFinite(e+u+o+_)){if(s.beginPath(),h.is_ie)for(const i of[!1,!0])s.moveTo(e,u),s.arc(e,u,o,0,Math.PI,i),s.moveTo(e+_,u),s.arc(e,u,_,Math.PI,0,!i);else s.arc(e,u,o,0,2*Math.PI,!0),s.moveTo(e+_,u),s.arc(e,u,_,2*Math.PI,0,!1);this.visuals.fill.apply(s,i),this.visuals.hatch.apply(s,i),this.visuals.line.apply(s,i)}}}_hit_point(s){const{sx:e,sy:i}=s,r=this.renderer.xscale.invert(e),t=this.renderer.yscale.invert(i);let n,a,u,o;if(\"data\"==this.model.properties.outer_radius.units)n=r-this.max_outer_radius,u=r+this.max_outer_radius,a=t-this.max_outer_radius,o=t+this.max_outer_radius;else{const s=e-this.max_outer_radius,r=e+this.max_outer_radius;[n,u]=this.renderer.xscale.r_invert(s,r);const t=i-this.max_outer_radius,_=i+this.max_outer_radius;[a,o]=this.renderer.yscale.r_invert(t,_)}const _=[];for(const s of this.index.indices({x0:n,x1:u,y0:a,y1:o})){const e=this.souter_radius[s]**2,i=this.sinner_radius[s]**2,[n,a]=this.renderer.xscale.r_compute(r,this._x[s]),[u,o]=this.renderer.yscale.r_compute(t,this._y[s]),d=(n-a)**2+(u-o)**2;d<=e&&d>=i&&_.push(s)}return new c.Selection({indices:_})}draw_legend_for_index(s,{x0:e,y0:i,x1:r,y1:t},n){const a=n+1,u=new Array(a);u[n]=(e+r)/2;const o=new Array(a);o[n]=(i+t)/2;const _=.5*Math.min(Math.abs(r-e),Math.abs(t-i)),d=new Array(a);d[n]=.4*_;const h=new Array(a);h[n]=.8*_,this._render(s,[n],{sx:u,sy:o,sinner_radius:d,souter_radius:h})}}i.AnnulusView=l,l.__name__=\"AnnulusView\";class x extends u.XYGlyph{constructor(s){super(s)}}i.Annulus=x,a=x,x.__name__=\"Annulus\",a.prototype.default_view=l,a.mixins([_.LineVector,_.FillVector,_.HatchVector]),a.define((({})=>({inner_radius:[d.DistanceSpec,{field:\"inner_radius\"}],outer_radius:[d.DistanceSpec,{field:\"outer_radius\"}]})))},\n", " function _(e,i,s,t,n){t();const r=e(1);var a;const c=e(178),d=e(184),l=e(48),_=e(24),o=e(20),u=(0,r.__importStar)(e(18));class h extends c.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this.radius):this.sradius=(0,_.to_screen)(this.radius)}_render(e,i,s){if(this.visuals.line.doit){const{sx:t,sy:n,sradius:r,start_angle:a,end_angle:c}=null!=s?s:this,d=\"anticlock\"==this.model.direction;for(const s of i){const i=t[s],l=n[s],_=r[s],o=a.get(s),u=c.get(s);isFinite(i+l+_+o+u)&&(e.beginPath(),e.arc(i,l,_,o,u,d),this.visuals.line.set_vectorize(e,s),e.stroke())}}}draw_legend_for_index(e,i,s){(0,d.generic_line_vector_legend)(this.visuals,e,i,s)}}s.ArcView=h,h.__name__=\"ArcView\";class g extends c.XYGlyph{constructor(e){super(e)}}s.Arc=g,a=g,g.__name__=\"Arc\",a.prototype.default_view=h,a.mixins(l.LineVector),a.define((({})=>({direction:[o.Direction,\"anticlock\"],radius:[u.DistanceSpec,{field:\"radius\"}],start_angle:[u.AngleSpec,{field:\"start_angle\"}],end_angle:[u.AngleSpec,{field:\"end_angle\"}]})))},\n", " function _(e,t,i,n,s){n();const o=e(1);var c;const r=e(48),a=e(179),_=e(184),d=e(78),l=(0,o.__importStar)(e(18));function x(e,t,i,n,s,o,c,r){const a=[],_=[[],[]];for(let _=0;_<=2;_++){let d,l,x;if(0===_?(l=6*e-12*i+6*s,d=-3*e+9*i-9*s+3*c,x=3*i-3*e):(l=6*t-12*n+6*o,d=-3*t+9*n-9*o+3*r,x=3*n-3*t),Math.abs(d)<1e-12){if(Math.abs(l)<1e-12)continue;const e=-x/l;0({x0:[l.XCoordinateSpec,{field:\"x0\"}],y0:[l.YCoordinateSpec,{field:\"y0\"}],x1:[l.XCoordinateSpec,{field:\"x1\"}],y1:[l.YCoordinateSpec,{field:\"y1\"}],cx0:[l.XCoordinateSpec,{field:\"cx0\"}],cy0:[l.YCoordinateSpec,{field:\"cy0\"}],cx1:[l.XCoordinateSpec,{field:\"cx1\"}],cy1:[l.YCoordinateSpec,{field:\"cy1\"}]}))),c.mixins(r.LineVector)},\n", " function _(s,i,e,t,r){t();const a=s(1);var n;const h=s(178),d=s(48),l=s(24),c=s(20),_=(0,a.__importStar)(s(185)),u=(0,a.__importStar)(s(18)),o=s(9),x=s(12),m=s(72);class p extends h.XYGlyphView{async lazy_initialize(){await super.lazy_initialize();const{webgl:i}=this.renderer.plot_view.canvas_view;if(null==i?void 0:i.regl_wrapper.has_webgl){const{MarkerGL:e}=await Promise.resolve().then((()=>(0,a.__importStar)(s(426))));this.glglyph=new e(i.regl_wrapper,this,\"circle\")}}get use_radius(){return!(this.radius.is_Scalar()&&isNaN(this.radius.value))}_set_data(s){super._set_data(s);const i=(()=>{if(this.use_radius)return 2*this.max_radius;{const{size:s}=this;return s.is_Scalar()?s.value:(0,x.max)(s.array)}})();this._configure(\"max_size\",{value:i})}_map_data(){if(this.use_radius)if(\"data\"==this.model.properties.radius.units)switch(this.model.radius_dimension){case\"x\":this.sradius=this.sdist(this.renderer.xscale,this._x,this.radius);break;case\"y\":this.sradius=this.sdist(this.renderer.yscale,this._y,this.radius);break;case\"max\":{const s=this.sdist(this.renderer.xscale,this._x,this.radius),i=this.sdist(this.renderer.yscale,this._y,this.radius);this.sradius=(0,x.map)(s,((s,e)=>Math.max(s,i[e])));break}case\"min\":{const s=this.sdist(this.renderer.xscale,this._x,this.radius),i=this.sdist(this.renderer.yscale,this._y,this.radius);this.sradius=(0,x.map)(s,((s,e)=>Math.min(s,i[e])));break}}else this.sradius=(0,l.to_screen)(this.radius);else{const s=l.ScreenArray.from(this.size);this.sradius=(0,x.map)(s,(s=>s/2))}}_mask_data(){const{frame:s}=this.renderer.plot_view,i=s.x_target,e=s.y_target;let t,r;return this.use_radius&&\"data\"==this.model.properties.radius.units?(t=i.map((s=>this.renderer.xscale.invert(s))).widen(this.max_radius),r=e.map((s=>this.renderer.yscale.invert(s))).widen(this.max_radius)):(t=i.widen(this.max_size).map((s=>this.renderer.xscale.invert(s))),r=e.widen(this.max_size).map((s=>this.renderer.yscale.invert(s)))),this.index.indices({x0:t.start,x1:t.end,y0:r.start,y1:r.end})}_render(s,i,e){const{sx:t,sy:r,sradius:a}=null!=e?e:this;for(const e of i){const i=t[e],n=r[e],h=a[e];isFinite(i+n+h)&&(s.beginPath(),s.arc(i,n,h,0,2*Math.PI,!1),this.visuals.fill.apply(s,e),this.visuals.hatch.apply(s,e),this.visuals.line.apply(s,e))}}_hit_point(s){const{sx:i,sy:e}=s,t=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(e),{hit_dilation:a}=this.model;let n,h,d,l;if(this.use_radius&&\"data\"==this.model.properties.radius.units)n=t-this.max_radius*a,h=t+this.max_radius*a,d=r-this.max_radius*a,l=r+this.max_radius*a;else{const s=i-this.max_size*a,t=i+this.max_size*a;[n,h]=this.renderer.xscale.r_invert(s,t);const r=e-this.max_size*a,c=e+this.max_size*a;[d,l]=this.renderer.yscale.r_invert(r,c)}const c=this.index.indices({x0:n,x1:h,y0:d,y1:l}),_=[];if(this.use_radius&&\"data\"==this.model.properties.radius.units)for(const s of c){const i=(this.sradius[s]*a)**2,[e,n]=this.renderer.xscale.r_compute(t,this._x[s]),[h,d]=this.renderer.yscale.r_compute(r,this._y[s]);(e-n)**2+(h-d)**2<=i&&_.push(s)}else for(const s of c){const t=(this.sradius[s]*a)**2;(this.sx[s]-i)**2+(this.sy[s]-e)**2<=t&&_.push(s)}return new m.Selection({indices:_})}_hit_span(s){const{sx:i,sy:e}=s,t=this.bounds();let r,a,n,h;if(\"h\"==s.direction){let s,e;if(n=t.y0,h=t.y1,this.use_radius&&\"data\"==this.model.properties.radius.units)s=i-this.max_radius,e=i+this.max_radius,[r,a]=this.renderer.xscale.r_invert(s,e);else{const t=this.max_size/2;s=i-t,e=i+t,[r,a]=this.renderer.xscale.r_invert(s,e)}}else{let s,i;if(r=t.x0,a=t.x1,this.use_radius&&\"data\"==this.model.properties.radius.units)s=e-this.max_radius,i=e+this.max_radius,[n,h]=this.renderer.yscale.r_invert(s,i);else{const t=this.max_size/2;s=e-t,i=e+t,[n,h]=this.renderer.yscale.r_invert(s,i)}}const d=[...this.index.indices({x0:r,x1:a,y0:n,y1:h})];return new m.Selection({indices:d})}_hit_rect(s){const{sx0:i,sx1:e,sy0:t,sy1:r}=s,[a,n]=this.renderer.xscale.r_invert(i,e),[h,d]=this.renderer.yscale.r_invert(t,r),l=[...this.index.indices({x0:a,x1:n,y0:h,y1:d})];return new m.Selection({indices:l})}_hit_poly(s){const{sx:i,sy:e}=s,t=(0,o.range)(0,this.sx.length),r=[];for(let s=0,a=t.length;s({angle:[u.AngleSpec,0],size:[u.ScreenSizeSpec,{value:4}],radius:[u.NullDistanceSpec,null],radius_dimension:[c.RadiusDimension,\"x\"],hit_dilation:[s,1]})))},\n", " function _(e,l,s,i,_){var p;i();const t=e(274);class a extends t.EllipseOvalView{}s.EllipseView=a,a.__name__=\"EllipseView\";class n extends t.EllipseOval{constructor(e){super(e)}}s.Ellipse=n,p=n,n.__name__=\"Ellipse\",p.prototype.default_view=a},\n", " function _(t,s,e,i,h){i();const n=t(1),r=t(275),a=(0,n.__importStar)(t(185)),l=t(24),_=t(72),o=(0,n.__importStar)(t(18));class d extends r.CenterRotatableView{_map_data(){\"data\"==this.model.properties.width.units?this.sw=this.sdist(this.renderer.xscale,this._x,this.width,\"center\"):this.sw=(0,l.to_screen)(this.width),\"data\"==this.model.properties.height.units?this.sh=this.sdist(this.renderer.yscale,this._y,this.height,\"center\"):this.sh=(0,l.to_screen)(this.height)}_render(t,s,e){const{sx:i,sy:h,sw:n,sh:r,angle:a}=null!=e?e:this;for(const e of s){const s=i[e],l=h[e],_=n[e],o=r[e],d=a.get(e);isFinite(s+l+_+o+d)&&(t.beginPath(),t.ellipse(s,l,_/2,o/2,d,0,2*Math.PI),this.visuals.fill.apply(t,e),this.visuals.hatch.apply(t,e),this.visuals.line.apply(t,e))}}_hit_point(t){let s,e,i,h,n,r,l,o,d;const{sx:c,sy:p}=t,w=this.renderer.xscale.invert(c),x=this.renderer.yscale.invert(p);\"data\"==this.model.properties.width.units?(s=w-this.max_width,e=w+this.max_width):(r=c-this.max_width,l=c+this.max_width,[s,e]=this.renderer.xscale.r_invert(r,l)),\"data\"==this.model.properties.height.units?(i=x-this.max_height,h=x+this.max_height):(o=p-this.max_height,d=p+this.max_height,[i,h]=this.renderer.yscale.r_invert(o,d));const m=this.index.indices({x0:s,x1:e,y0:i,y1:h}),y=[];for(const t of m)n=a.point_in_ellipse(c,p,this.angle.get(t),this.sh[t]/2,this.sw[t]/2,this.sx[t],this.sy[t]),n&&y.push(t);return new _.Selection({indices:y})}draw_legend_for_index(t,{x0:s,y0:e,x1:i,y1:h},n){const r=n+1,a=new Array(r);a[n]=(s+i)/2;const l=new Array(r);l[n]=(e+h)/2;const _=this.sw[n]/this.sh[n],d=.8*Math.min(Math.abs(i-s),Math.abs(h-e)),c=new Array(r),p=new Array(r);_>1?(c[n]=d,p[n]=d/_):(c[n]=d*_,p[n]=d);const w=new o.UniformScalar(0,r);this._render(t,[n],{sx:a,sy:l,sw:c,sh:p,angle:w})}}e.EllipseOvalView=d,d.__name__=\"EllipseOvalView\";class c extends r.CenterRotatable{constructor(t){super(t)}}e.EllipseOval=c,c.__name__=\"EllipseOval\"},\n", " function _(e,t,i,a,n){a();const s=e(1);var r;const h=e(178),o=e(48),_=(0,s.__importStar)(e(18));class c extends h.XYGlyphView{get max_w2(){return\"data\"==this.model.properties.width.units?this.max_width/2:0}get max_h2(){return\"data\"==this.model.properties.height.units?this.max_height/2:0}_bounds({x0:e,x1:t,y0:i,y1:a}){const{max_w2:n,max_h2:s}=this;return{x0:e-n,x1:t+n,y0:i-s,y1:a+s}}}i.CenterRotatableView=c,c.__name__=\"CenterRotatableView\";class l extends h.XYGlyph{constructor(e){super(e)}}i.CenterRotatable=l,r=l,l.__name__=\"CenterRotatable\",r.mixins([o.LineVector,o.FillVector,o.HatchVector]),r.define((({})=>({angle:[_.AngleSpec,0],width:[_.DistanceSpec,{field:\"width\"}],height:[_.DistanceSpec,{field:\"height\"}]})))},\n", " function _(t,e,s,i,h){i();const r=t(1);var a;const n=t(277),o=t(24),_=(0,r.__importStar)(t(18));class c extends n.BoxView{scenterxy(t){return[(this.sleft[t]+this.sright[t])/2,this.sy[t]]}_lrtb(t){const e=this._left[t],s=this._right[t],i=this._y[t],h=this.height.get(t)/2;return[Math.min(e,s),Math.max(e,s),i+h,i-h]}_map_data(){this.sy=this.renderer.yscale.v_compute(this._y),this.sh=this.sdist(this.renderer.yscale,this._y,this.height,\"center\"),this.sleft=this.renderer.xscale.v_compute(this._left),this.sright=this.renderer.xscale.v_compute(this._right);const t=this.sy.length;this.stop=new o.ScreenArray(t),this.sbottom=new o.ScreenArray(t);for(let e=0;e({left:[_.XCoordinateSpec,{value:0}],y:[_.YCoordinateSpec,{field:\"y\"}],height:[_.NumberSpec,{value:1}],right:[_.XCoordinateSpec,{field:\"right\"}]})))},\n", " function _(t,e,s,r,i){var n;r();const a=t(48),h=t(179),o=t(184),c=t(72);class _ extends h.GlyphView{get_anchor_point(t,e,s){const r=Math.min(this.sleft[e],this.sright[e]),i=Math.max(this.sright[e],this.sleft[e]),n=Math.min(this.stop[e],this.sbottom[e]),a=Math.max(this.sbottom[e],this.stop[e]);switch(t){case\"top_left\":return{x:r,y:n};case\"top\":case\"top_center\":return{x:(r+i)/2,y:n};case\"top_right\":return{x:i,y:n};case\"bottom_left\":return{x:r,y:a};case\"bottom\":case\"bottom_center\":return{x:(r+i)/2,y:a};case\"bottom_right\":return{x:i,y:a};case\"left\":case\"center_left\":return{x:r,y:(n+a)/2};case\"center\":case\"center_center\":return{x:(r+i)/2,y:(n+a)/2};case\"right\":case\"center_right\":return{x:i,y:(n+a)/2}}}_index_data(t){const{min:e,max:s}=Math,{data_size:r}=this;for(let i=0;i({r:[l.NumberSpec,{field:\"r\"}],q:[l.NumberSpec,{field:\"q\"}],scale:[l.NumberSpec,1],size:[e,1],aspect_scale:[e,1],orientation:[_.HexTileOrientation,\"pointytop\"]}))),a.override({line_color:null})},\n", " function _(e,a,t,_,r){var n;_();const s=e(280),o=e(173),i=e(201);class p extends s.ImageBaseView{connect_signals(){super.connect_signals(),this.connect(this.model.color_mapper.change,(()=>this._update_image()))}_update_image(){null!=this.image_data&&(this._set_data(null),this.renderer.request_render())}_flat_img_to_buf8(e){return this.model.color_mapper.rgba_mapper.v_compute(e)}}t.ImageView=p,p.__name__=\"ImageView\";class m extends s.ImageBase{constructor(e){super(e)}}t.Image=m,n=m,m.__name__=\"Image\",n.prototype.default_view=p,n.define((({Ref:e})=>({color_mapper:[e(o.ColorMapper),()=>new i.LinearColorMapper({palette:[\"#000000\",\"#252525\",\"#525252\",\"#737373\",\"#969696\",\"#bdbdbd\",\"#d9d9d9\",\"#f0f0f0\",\"#ffffff\"]})]})))},\n", " function _(e,t,i,s,a){s();const h=e(1);var n;const r=e(178),_=e(24),d=(0,h.__importStar)(e(18)),l=e(72),g=e(9),o=e(29),c=e(11);class m extends r.XYGlyphView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.global_alpha.change,(()=>this.renderer.request_render()))}_render(e,t,i){const{image_data:s,sx:a,sy:h,sw:n,sh:r,global_alpha:_}=null!=i?i:this,d=e.getImageSmoothingEnabled();e.setImageSmoothingEnabled(!1);const l=_.is_Scalar();l&&(e.globalAlpha=_.value);for(const i of t){const t=s[i],_=a[i],d=h[i],g=n[i],o=r[i],c=this.global_alpha.get(i);if(null==t||!isFinite(_+d+g+o+c))continue;l||(e.globalAlpha=c);const m=d;e.translate(0,m),e.scale(1,-1),e.translate(0,-m),e.drawImage(t,0|_,0|d,g,o),e.translate(0,m),e.scale(1,-1),e.translate(0,-m)}e.setImageSmoothingEnabled(d)}_set_data(e){this._set_width_heigh_data();for(let t=0,i=this.image.length;t({image:[d.NDArraySpec,{field:\"image\"}],dw:[d.DistanceSpec,{field:\"dw\"}],dh:[d.DistanceSpec,{field:\"dh\"}],global_alpha:[d.NumberSpec,{value:1}],dilate:[e,!1]})))},\n", " function _(e,a,t,r,_){var n;r();const s=e(280),m=e(8);class i extends s.ImageBaseView{_flat_img_to_buf8(e){let a;return a=(0,m.isArray)(e)?new Uint32Array(e):e,new Uint8ClampedArray(a.buffer)}}t.ImageRGBAView=i,i.__name__=\"ImageRGBAView\";class g extends s.ImageBase{constructor(e){super(e)}}t.ImageRGBA=g,n=g,g.__name__=\"ImageRGBA\",n.prototype.default_view=i},\n", " function _(e,t,s,r,a){r();const i=e(1);var n;const o=e(178),c=e(24),_=e(20),h=(0,i.__importStar)(e(18)),l=e(12),d=e(136);class m extends o.XYGlyphView{constructor(){super(...arguments),this._images_rendered=!1,this._set_data_iteration=0}connect_signals(){super.connect_signals(),this.connect(this.model.properties.global_alpha.change,(()=>this.renderer.request_render()))}_index_data(e){const{data_size:t}=this;for(let s=0;s{this._set_data_iteration==r&&(this.image[a]=e,this.renderer.request_render())},attempts:t+1,timeout:s})}const a=\"data\"==this.model.properties.w.units,i=\"data\"==this.model.properties.h.units,n=this._x.length,o=new c.ScreenArray(a?2*n:n),_=new c.ScreenArray(i?2*n:n),{anchor:h}=this.model;function m(e,t){switch(h){case\"top_left\":case\"bottom_left\":case\"left\":case\"center_left\":return[e,e+t];case\"top\":case\"top_center\":case\"bottom\":case\"bottom_center\":case\"center\":case\"center_center\":return[e-t/2,e+t/2];case\"top_right\":case\"bottom_right\":case\"right\":case\"center_right\":return[e-t,e]}}function g(e,t){switch(h){case\"top_left\":case\"top\":case\"top_center\":case\"top_right\":return[e,e-t];case\"bottom_left\":case\"bottom\":case\"bottom_center\":case\"bottom_right\":return[e+t,e];case\"left\":case\"center_left\":case\"center\":case\"center_center\":case\"right\":case\"center_right\":return[e+t/2,e-t/2]}}if(a)for(let e=0;e({url:[h.StringSpec,{field:\"url\"}],anchor:[_.Anchor,\"top_left\"],global_alpha:[h.NumberSpec,{value:1}],angle:[h.AngleSpec,0],w:[h.NullDistanceSpec,null],h:[h.NullDistanceSpec,null],dilate:[e,!1],retry_attempts:[t,0],retry_timeout:[t,0]})))},\n", " function _(e,t,s,i,n){i();const o=e(1);var r;const l=e(78),_=e(48),c=(0,o.__importStar)(e(185)),h=(0,o.__importStar)(e(18)),a=e(12),d=e(13),x=e(179),y=e(184),g=e(72);class p extends x.GlyphView{_project_data(){l.inplace.project_xy(this._xs.array,this._ys.array)}_index_data(e){const{data_size:t}=this;for(let s=0;s0&&o.set(e,s)}return new g.Selection({indices:[...o.keys()],multiline_indices:(0,d.to_object)(o)})}get_interpolation_hit(e,t,s){const i=this._xs.get(e),n=this._ys.get(e),o=i[t],r=n[t],l=i[t+1],_=n[t+1];return(0,y.line_interpolation)(this.renderer,s,o,r,l,_)}draw_legend_for_index(e,t,s){(0,y.generic_line_vector_legend)(this.visuals,e,t,s)}scenterxy(){throw new Error(`${this}.scenterxy() is not implemented`)}}s.MultiLineView=p,p.__name__=\"MultiLineView\";class u extends x.Glyph{constructor(e){super(e)}}s.MultiLine=u,r=u,u.__name__=\"MultiLine\",r.prototype.default_view=p,r.define((({})=>({xs:[h.XCoordinateSeqSpec,{field:\"xs\"}],ys:[h.YCoordinateSeqSpec,{field:\"ys\"}]}))),r.mixins(_.LineVector)},\n", " function _(t,e,s,n,i){n();const o=t(1);var r;const l=t(181),h=t(179),a=t(184),_=t(12),c=t(12),d=t(48),x=(0,o.__importStar)(t(185)),y=(0,o.__importStar)(t(18)),f=t(72),g=t(11);class p extends h.GlyphView{_project_data(){}_index_data(t){const{min:e,max:s}=Math,{data_size:n}=this;for(let i=0;i1&&c.length>1)for(let s=1,n=i.length;s1){let r=!1;for(let t=1;t({xs:[y.XCoordinateSeqSeqSeqSpec,{field:\"xs\"}],ys:[y.YCoordinateSeqSeqSeqSpec,{field:\"ys\"}]}))),r.mixins([d.LineVector,d.FillVector,d.HatchVector])},\n", " function _(a,e,l,s,_){var t;s();const i=a(274),n=a(12);class p extends i.EllipseOvalView{_map_data(){super._map_data(),(0,n.mul)(this.sw,.75)}}l.OvalView=p,p.__name__=\"OvalView\";class v extends i.EllipseOval{constructor(a){super(a)}}l.Oval=v,t=v,v.__name__=\"Oval\",t.prototype.default_view=p},\n", " function _(e,t,s,i,n){i();const r=e(1);var a;const o=e(179),c=e(184),_=e(12),h=e(48),l=(0,r.__importStar)(e(185)),d=(0,r.__importStar)(e(18)),y=e(72),p=e(11),x=e(78);class f extends o.GlyphView{_project_data(){x.inplace.project_xy(this._xs.array,this._ys.array)}_index_data(e){const{data_size:t}=this;for(let s=0;s({xs:[d.XCoordinateSeqSpec,{field:\"xs\"}],ys:[d.YCoordinateSeqSpec,{field:\"ys\"}]}))),a.mixins([h.LineVector,h.FillVector,h.HatchVector])},\n", " function _(t,e,o,i,s){i();const r=t(1);var n;const _=t(277),d=(0,r.__importStar)(t(18));class a extends _.BoxView{scenterxy(t){return[this.sleft[t]/2+this.sright[t]/2,this.stop[t]/2+this.sbottom[t]/2]}_lrtb(t){return[this._left[t],this._right[t],this._top[t],this._bottom[t]]}}o.QuadView=a,a.__name__=\"QuadView\";class c extends _.Box{constructor(t){super(t)}}o.Quad=c,n=c,c.__name__=\"Quad\",n.prototype.default_view=a,n.define((({})=>({right:[d.XCoordinateSpec,{field:\"right\"}],bottom:[d.YCoordinateSpec,{field:\"bottom\"}],left:[d.XCoordinateSpec,{field:\"left\"}],top:[d.YCoordinateSpec,{field:\"top\"}]})))},\n", " function _(e,t,i,n,s){n();const c=e(1);var o;const r=e(48),a=e(78),_=e(179),d=e(184),l=(0,c.__importStar)(e(18));function x(e,t,i){if(t==(e+i)/2)return[e,i];{const n=(e-t)/(e-2*t+i),s=e*(1-n)**2+2*t*(1-n)*n+i*n**2;return[Math.min(e,i,s),Math.max(e,i,s)]}}class y extends _.GlyphView{_project_data(){a.inplace.project_xy(this._x0,this._y0),a.inplace.project_xy(this._x1,this._y1)}_index_data(e){const{_x0:t,_x1:i,_y0:n,_y1:s,_cx:c,_cy:o,data_size:r}=this;for(let a=0;a({x0:[l.XCoordinateSpec,{field:\"x0\"}],y0:[l.YCoordinateSpec,{field:\"y0\"}],x1:[l.XCoordinateSpec,{field:\"x1\"}],y1:[l.YCoordinateSpec,{field:\"y1\"}],cx:[l.XCoordinateSpec,{field:\"cx\"}],cy:[l.YCoordinateSpec,{field:\"cy\"}]}))),o.mixins(r.LineVector)},\n", " function _(e,t,s,i,n){i();const l=e(1);var a;const r=e(178),o=e(184),h=e(48),_=e(24),c=(0,l.__importStar)(e(18));class g extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.length.units?this.slength=this.sdist(this.renderer.xscale,this._x,this.length):this.slength=(0,_.to_screen)(this.length);const{width:e,height:t}=this.renderer.plot_view.frame.bbox,s=2*(e+t),{slength:i}=this;for(let e=0,t=i.length;e({length:[c.DistanceSpec,0],angle:[c.AngleSpec,0]})))},\n", " function _(t,e,s,i,r){var n,h=this&&this.__createBinding||(Object.create?function(t,e,s,i){void 0===i&&(i=s),Object.defineProperty(t,i,{enumerable:!0,get:function(){return e[s]}})}:function(t,e,s,i){void 0===i&&(i=s),t[i]=e[s]}),a=this&&this.__setModuleDefault||(Object.create?function(t,e){Object.defineProperty(t,\"default\",{enumerable:!0,value:e})}:function(t,e){t.default=e}),l=this&&this.__importStar||function(t){if(t&&t.__esModule)return t;var e={};if(null!=t)for(var s in t)\"default\"!==s&&Object.prototype.hasOwnProperty.call(t,s)&&h(e,t,s);return a(e,t),e};i();const o=t(275),c=t(184),_=t(24),d=t(12),f=t(72);class y extends o.CenterRotatableView{async lazy_initialize(){await super.lazy_initialize();const{webgl:e}=this.renderer.plot_view.canvas_view;if(null==e?void 0:e.regl_wrapper.has_webgl){const{RectGL:s}=await Promise.resolve().then((()=>l(t(425))));this.glglyph=new s(e.regl_wrapper,this)}}_map_data(){if(\"data\"==this.model.properties.width.units)[this.sw,this.sx0]=this._map_dist_corner_for_data_side_length(this._x,this.width,this.renderer.xscale);else{this.sw=(0,_.to_screen)(this.width);const t=this.sx.length;this.sx0=new _.ScreenArray(t);for(let e=0;e({dilate:[t,!1]})))},\n", " function _(e,t,s,r,i){r();const a=e(1);var n;const l=e(292),_=e(293),c=(0,a.__importStar)(e(18));class o extends l.MarkerView{async lazy_initialize(){await super.lazy_initialize();const{webgl:t}=this.renderer.plot_view.canvas_view;if(null==t?void 0:t.regl_wrapper.has_webgl){const{MarkerGL:t}=await Promise.resolve().then((()=>(0,a.__importStar)(e(426))));this.glcls=t}}_init_webgl(){const{webgl:e}=this.renderer.plot_view.canvas_view;if(null!=e){const{regl_wrapper:t}=e;if(t.has_webgl){const e=new Set(null!=this.base?this.base.marker:this.marker);if(1==e.size){const[s]=[...e],r=this.glcls;if(null==r?void 0:r.is_supported(s)){const{glglyph:e}=this;if(null==e||e.marker_type!=s)return void(this.glglyph=new r(t,this,s))}}}}delete this.glglyph}_set_visuals(){this._init_webgl()}_render(e,t,s){const{sx:r,sy:i,size:a,angle:n,marker:l}=null!=s?s:this;for(const s of t){const t=r[s],c=i[s],o=a.get(s),g=n.get(s),h=l.get(s);if(!isFinite(t+c+o+g)||null==h)continue;const w=o/2;e.beginPath(),e.translate(t,c),g&&e.rotate(g),_.marker_funcs[h](e,s,w,this.visuals),g&&e.rotate(-g),e.translate(-t,-c)}}draw_legend_for_index(e,{x0:t,x1:s,y0:r,y1:i},a){const n=a+1,l=this.marker.get(a),_=Object.assign(Object.assign({},this._get_legend_args({x0:t,x1:s,y0:r,y1:i},a)),{marker:new c.UniformScalar(l,n)});this._render(e,[a],_)}}s.ScatterView=o,o.__name__=\"ScatterView\";class g extends l.Marker{constructor(e){super(e)}}s.Scatter=g,n=g,g.__name__=\"Scatter\",n.prototype.default_view=o,n.define((()=>({marker:[c.MarkerSpec,{value:\"circle\"}]})))},\n", " function _(e,t,s,n,i){n();const r=e(1);var a;const c=e(178),o=e(48),_=(0,r.__importStar)(e(185)),h=(0,r.__importStar)(e(18)),l=e(9),x=e(72);class d extends c.XYGlyphView{_render(e,t,s){const{sx:n,sy:i,size:r,angle:a}=null!=s?s:this;for(const s of t){const t=n[s],c=i[s],o=r.get(s),_=a.get(s);if(!isFinite(t+c+o+_))continue;const h=o/2;e.beginPath(),e.translate(t,c),_&&e.rotate(_),this._render_one(e,s,h,this.visuals),_&&e.rotate(-_),e.translate(-t,-c)}}_mask_data(){const{x_target:e,y_target:t}=this.renderer.plot_view.frame,s=e.widen(this.max_size).map((e=>this.renderer.xscale.invert(e))),n=t.widen(this.max_size).map((e=>this.renderer.yscale.invert(e)));return this.index.indices({x0:s.start,x1:s.end,y0:n.start,y1:n.end})}_hit_point(e){const{sx:t,sy:s}=e,{max_size:n}=this,{hit_dilation:i}=this.model,r=t-n*i,a=t+n*i,[c,o]=this.renderer.xscale.r_invert(r,a),_=s-n*i,h=s+n*i,[l,d]=this.renderer.yscale.r_invert(_,h),y=this.index.indices({x0:c,x1:o,y0:l,y1:d}),g=[];for(const e of y){const n=this.size.get(e)/2*i;Math.abs(this.sx[e]-t)<=n&&Math.abs(this.sy[e]-s)<=n&&g.push(e)}return new x.Selection({indices:g})}_hit_span(e){const{sx:t,sy:s}=e,n=this.bounds(),i=this.max_size/2;let r,a,c,o;if(\"h\"==e.direction){c=n.y0,o=n.y1;const e=t-i,s=t+i;[r,a]=this.renderer.xscale.r_invert(e,s)}else{r=n.x0,a=n.x1;const e=s-i,t=s+i;[c,o]=this.renderer.yscale.r_invert(e,t)}const _=[...this.index.indices({x0:r,x1:a,y0:c,y1:o})];return new x.Selection({indices:_})}_hit_rect(e){const{sx0:t,sx1:s,sy0:n,sy1:i}=e,[r,a]=this.renderer.xscale.r_invert(t,s),[c,o]=this.renderer.yscale.r_invert(n,i),_=[...this.index.indices({x0:r,x1:a,y0:c,y1:o})];return new x.Selection({indices:_})}_hit_poly(e){const{sx:t,sy:s}=e,n=(0,l.range)(0,this.sx.length),i=[];for(let e=0,r=n.length;e({size:[h.ScreenSizeSpec,{value:4}],angle:[h.AngleSpec,0],hit_dilation:[e,1]})))},\n", " function _(l,o,n,t,i){t();const e=Math.sqrt(3),a=Math.sqrt(5),c=(a+1)/4,p=Math.sqrt((5-a)/8),r=(a-1)/4,h=Math.sqrt((5+a)/8);function u(l,o){l.rotate(Math.PI/4),s(l,o),l.rotate(-Math.PI/4)}function f(l,o){const n=o*e,t=n/3;l.moveTo(-n/2,-t),l.lineTo(0,0),l.lineTo(n/2,-t),l.lineTo(0,0),l.lineTo(0,o)}function s(l,o){l.moveTo(0,o),l.lineTo(0,-o),l.moveTo(-o,0),l.lineTo(o,0)}function T(l,o){l.moveTo(0,o),l.lineTo(o/1.5,0),l.lineTo(0,-o),l.lineTo(-o/1.5,0),l.closePath()}function y(l,o){const n=o*e,t=n/3;l.moveTo(-o,t),l.lineTo(o,t),l.lineTo(0,t-n),l.closePath()}function v(l,o,n,t){l.arc(0,0,n,0,2*Math.PI,!1),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}function d(l,o,n,t){T(l,n),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}function _(l,o,n,t){!function(l,o){l.beginPath(),l.arc(0,0,o/4,0,2*Math.PI,!1),l.closePath()}(l,n),t.line.set_vectorize(l,o),l.fillStyle=l.strokeStyle,l.fill()}function P(l,o,n,t){!function(l,o){const n=o/2,t=e*n;l.moveTo(o,0),l.lineTo(n,-t),l.lineTo(-n,-t),l.lineTo(-o,0),l.lineTo(-n,t),l.lineTo(n,t),l.closePath()}(l,n),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}function m(l,o,n,t){const i=2*n;l.rect(-n,-n,i,i),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}function q(l,o,n,t){!function(l,o){const n=Math.sqrt(5-2*a)*o;l.moveTo(0,-o),l.lineTo(n*r,n*h-o),l.lineTo(n*(1+r),n*h-o),l.lineTo(n*(1+r-c),n*(h+p)-o),l.lineTo(n*(1+2*r-c),n*(2*h+p)-o),l.lineTo(0,2*n*h-o),l.lineTo(-n*(1+2*r-c),n*(2*h+p)-o),l.lineTo(-n*(1+r-c),n*(h+p)-o),l.lineTo(-n*(1+r),n*h-o),l.lineTo(-n*r,n*h-o),l.closePath()}(l,n),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}function M(l,o,n,t){y(l,n),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}n.marker_funcs={asterisk:function(l,o,n,t){s(l,n),u(l,n),t.line.apply(l,o)},circle:v,circle_cross:function(l,o,n,t){l.arc(0,0,n,0,2*Math.PI,!1),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),s(l,n),l.stroke())},circle_dot:function(l,o,n,t){v(l,o,n,t),_(l,o,n,t)},circle_y:function(l,o,n,t){l.arc(0,0,n,0,2*Math.PI,!1),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),f(l,n),l.stroke())},circle_x:function(l,o,n,t){l.arc(0,0,n,0,2*Math.PI,!1),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),u(l,n),l.stroke())},cross:function(l,o,n,t){s(l,n),t.line.apply(l,o)},diamond:d,diamond_dot:function(l,o,n,t){d(l,o,n,t),_(l,o,n,t)},diamond_cross:function(l,o,n,t){T(l,n),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),l.moveTo(0,n),l.lineTo(0,-n),l.moveTo(-n/1.5,0),l.lineTo(n/1.5,0),l.stroke())},dot:_,hex:P,hex_dot:function(l,o,n,t){P(l,o,n,t),_(l,o,n,t)},inverted_triangle:function(l,o,n,t){l.rotate(Math.PI),y(l,n),l.rotate(-Math.PI),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)},plus:function(l,o,n,t){const i=3*n/8,e=[i,i,n,n,i,i,-i,-i,-n,-n,-i,-i],a=[n,i,i,-i,-i,-n,-n,-i,-i,i,i,n];l.beginPath();for(let o=0;o<12;o++)l.lineTo(e[o],a[o]);l.closePath(),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)},square:m,square_cross:function(l,o,n,t){const i=2*n;l.rect(-n,-n,i,i),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),s(l,n),l.stroke())},square_dot:function(l,o,n,t){m(l,o,n,t),_(l,o,n,t)},square_pin:function(l,o,n,t){const i=3*n/8;l.moveTo(-n,-n),l.quadraticCurveTo(0,-i,n,-n),l.quadraticCurveTo(i,0,n,n),l.quadraticCurveTo(0,i,-n,n),l.quadraticCurveTo(-i,0,-n,-n),l.closePath(),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)},square_x:function(l,o,n,t){const i=2*n;l.rect(-n,-n,i,i),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),l.moveTo(-n,n),l.lineTo(n,-n),l.moveTo(-n,-n),l.lineTo(n,n),l.stroke())},star:q,star_dot:function(l,o,n,t){q(l,o,n,t),_(l,o,n,t)},triangle:M,triangle_dot:function(l,o,n,t){M(l,o,n,t),_(l,o,n,t)},triangle_pin:function(l,o,n,t){const i=n*e,a=i/3,c=3*a/8;l.moveTo(-n,a),l.quadraticCurveTo(0,c,n,a),l.quadraticCurveTo(e*c/2,c/2,0,a-i),l.quadraticCurveTo(-e*c/2,c/2,-n,a),l.closePath(),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)},dash:function(l,o,n,t){!function(l,o){l.moveTo(-o,0),l.lineTo(o,0)}(l,n),t.line.apply(l,o)},x:function(l,o,n,t){u(l,n),t.line.apply(l,o)},y:function(l,o,n,t){f(l,n),t.line.apply(l,o)}}},\n", " function _(e,t,s,i,n){i();const r=e(1);var o;const _=(0,r.__importStar)(e(185)),h=(0,r.__importStar)(e(18)),c=e(48),a=e(78),d=e(179),x=e(184),l=e(72);class y extends d.GlyphView{_project_data(){a.inplace.project_xy(this._x0,this._y0),a.inplace.project_xy(this._x1,this._y1)}_index_data(e){const{min:t,max:s}=Math,{_x0:i,_x1:n,_y0:r,_y1:o,data_size:_}=this;for(let h=0;h<_;h++){const _=i[h],c=n[h],a=r[h],d=o[h];e.add_rect(t(_,c),t(a,d),s(_,c),s(a,d))}}_render(e,t,s){if(this.visuals.line.doit){const{sx0:i,sy0:n,sx1:r,sy1:o}=null!=s?s:this;for(const s of t){const t=i[s],_=n[s],h=r[s],c=o[s];isFinite(t+_+h+c)&&(e.beginPath(),e.moveTo(t,_),e.lineTo(h,c),this.visuals.line.set_vectorize(e,s),e.stroke())}}}_hit_point(e){const{sx:t,sy:s}=e,i={x:t,y:s},[n,r]=this.renderer.xscale.r_invert(t-2,t+2),[o,h]=this.renderer.yscale.r_invert(s-2,s+2),c=this.index.indices({x0:n,y0:o,x1:r,y1:h}),a=[];for(const e of c){const t=Math.max(2,this.line_width.get(e)/2)**2,s={x:this.sx0[e],y:this.sy0[e]},n={x:this.sx1[e],y:this.sy1[e]};_.dist_to_segment_squared(i,s,n)({x0:[h.XCoordinateSpec,{field:\"x0\"}],y0:[h.YCoordinateSpec,{field:\"y0\"}],x1:[h.XCoordinateSpec,{field:\"x1\"}],y1:[h.YCoordinateSpec,{field:\"y1\"}]}))),o.mixins(c.LineVector)},\n", " function _(t,e,s,i,n){i();const o=t(1);var _;const l=t(178),a=(0,o.__importStar)(t(48)),c=t(296);class r extends l.XYGlyphView{_set_data(){const{tension:t,closed:e}=this.model;[this._xt,this._yt]=(0,c.catmullrom_spline)(this._x,this._y,20,t,e)}_map_data(){const{x_scale:t,y_scale:e}=this.renderer.coordinates;this.sxt=t.v_compute(this._xt),this.syt=e.v_compute(this._yt)}_render(t,e,s){const{sxt:i,syt:n}=null!=s?s:this;let o=!0;t.beginPath();const _=i.length;for(let e=0;e<_;e++){const s=i[e],_=n[e];isFinite(s+_)?o?(t.moveTo(s,_),o=!1):t.lineTo(s,_):o=!0}this.visuals.line.set_value(t),t.stroke()}}s.SplineView=r,r.__name__=\"SplineView\";class h extends l.XYGlyph{constructor(t){super(t)}}s.Spline=h,_=h,h.__name__=\"Spline\",_.prototype.default_view=r,_.mixins(a.LineScalar),_.define((({Boolean:t,Number:e})=>({tension:[e,.5],closed:[t,!1]})))},\n", " function _(n,t,e,o,s){o();const c=n(24),l=n(11);e.catmullrom_spline=function(n,t,e=10,o=.5,s=!1){(0,l.assert)(n.length==t.length);const r=n.length,f=s?r+1:r,w=(0,c.infer_type)(n,t),i=new w(f+2),u=new w(f+2);i.set(n,1),u.set(t,1),s?(i[0]=n[r-1],u[0]=t[r-1],i[f]=n[0],u[f]=t[0],i[f+1]=n[1],u[f+1]=t[1]):(i[0]=n[0],u[0]=t[0],i[f+1]=n[r-1],u[f+1]=t[r-1]);const g=new w(4*(e+1));for(let n=0,t=0;n<=e;n++){const o=n/e,s=o**2,c=o*s;g[t++]=2*c-3*s+1,g[t++]=-2*c+3*s,g[t++]=c-2*s+o,g[t++]=c-s}const h=new w((f-1)*(e+1)),_=new w((f-1)*(e+1));for(let n=1,t=0;n1&&(e.stroke(),o=!1)}o?(e.lineTo(t,r),e.lineTo(a,c)):(e.beginPath(),e.moveTo(s[n],i[n]),o=!0),l=n}e.lineTo(s[a-1],i[a-1]),e.stroke()}}draw_legend_for_index(e,t,n){(0,r.generic_line_scalar_legend)(this.visuals,e,t)}}n.StepView=f,f.__name__=\"StepView\";class u extends a.XYGlyph{constructor(e){super(e)}}n.Step=u,l=u,u.__name__=\"Step\",l.prototype.default_view=f,l.mixins(c.LineScalar),l.define((()=>({mode:[_.StepMode,\"before\"]})))},\n", " function _(t,e,s,i,n){i();const o=t(1);var _;const h=t(178),l=t(48),r=(0,o.__importStar)(t(185)),a=(0,o.__importStar)(t(18)),c=t(121),x=t(11),u=t(72);class f extends h.XYGlyphView{_rotate_point(t,e,s,i,n){return[(t-s)*Math.cos(n)-(e-i)*Math.sin(n)+s,(t-s)*Math.sin(n)+(e-i)*Math.cos(n)+i]}_text_bounds(t,e,s,i){return[[t,t+s,t+s,t,t],[e,e,e-i,e-i,e]]}_render(t,e,s){const{sx:i,sy:n,x_offset:o,y_offset:_,angle:h,text:l}=null!=s?s:this;this._sys=[],this._sxs=[];for(const s of e){const e=this._sxs[s]=[],r=this._sys[s]=[],a=i[s],x=n[s],u=o.get(s),f=_.get(s),p=h.get(s),g=l.get(s);if(isFinite(a+x+u+f+p)&&null!=g&&this.visuals.text.doit){const i=`${g}`;t.save(),t.translate(a+u,x+f),t.rotate(p),this.visuals.text.set_vectorize(t,s);const n=this.visuals.text.font_value(s),{height:o}=(0,c.font_metrics)(n),_=this.text_line_height.get(s)*o;if(-1==i.indexOf(\"\\n\")){t.fillText(i,0,0);const s=a+u,n=x+f,o=t.measureText(i).width,[h,l]=this._text_bounds(s,n,o,_);e.push(h),r.push(l)}else{const n=i.split(\"\\n\"),o=_*n.length,h=this.text_baseline.get(s);let l;switch(h){case\"top\":l=0;break;case\"middle\":l=-o/2+_/2;break;case\"bottom\":l=-o+_;break;default:l=0,console.warn(`'${h}' baseline not supported with multi line text`)}for(const s of n){t.fillText(s,0,l);const i=a+u,n=l+x+f,o=t.measureText(s).width,[h,c]=this._text_bounds(i,n,o,_);e.push(h),r.push(c),l+=_}}t.restore()}}}_hit_point(t){const{sx:e,sy:s}=t,i=[];for(let t=0;t({text:[a.NullStringSpec,{field:\"text\"}],angle:[a.AngleSpec,0],x_offset:[a.NumberSpec,0],y_offset:[a.NumberSpec,0]})))},\n", " function _(t,s,e,i,r){i();const h=t(1);var o;const a=t(277),n=t(24),_=(0,h.__importStar)(t(18));class c extends a.BoxView{scenterxy(t){return[this.sx[t],(this.stop[t]+this.sbottom[t])/2]}_lrtb(t){const s=this.width.get(t)/2,e=this._x[t],i=this._top[t],r=this._bottom[t];return[e-s,e+s,Math.max(i,r),Math.min(i,r)]}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sw=this.sdist(this.renderer.xscale,this._x,this.width,\"center\"),this.stop=this.renderer.yscale.v_compute(this._top),this.sbottom=this.renderer.yscale.v_compute(this._bottom);const t=this.sx.length;this.sleft=new n.ScreenArray(t),this.sright=new n.ScreenArray(t);for(let s=0;s({x:[_.XCoordinateSpec,{field:\"x\"}],bottom:[_.YCoordinateSpec,{value:0}],width:[_.NumberSpec,{value:1}],top:[_.YCoordinateSpec,{field:\"top\"}]})))},\n", " function _(e,s,t,i,n){i();const r=e(1);var a;const c=e(178),l=e(184),d=e(48),o=e(24),h=e(20),_=(0,r.__importStar)(e(18)),u=e(10),g=e(72);class p extends c.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this.radius):this.sradius=(0,o.to_screen)(this.radius)}_render(e,s,t){const{sx:i,sy:n,sradius:r,start_angle:a,end_angle:c}=null!=t?t:this,l=\"anticlock\"==this.model.direction;for(const t of s){const s=i[t],d=n[t],o=r[t],h=a.get(t),_=c.get(t);isFinite(s+d+o+h+_)&&(e.beginPath(),e.arc(s,d,o,h,_,l),e.lineTo(s,d),e.closePath(),this.visuals.fill.apply(e,t),this.visuals.hatch.apply(e,t),this.visuals.line.apply(e,t))}}_hit_point(e){let s,t,i,n,r,a,c,l,d;const{sx:o,sy:h}=e,_=this.renderer.xscale.invert(o),p=this.renderer.yscale.invert(h),x=2*this.max_radius;\"data\"===this.model.properties.radius.units?(a=_-x,c=_+x,l=p-x,d=p+x):(t=o-x,i=o+x,[a,c]=this.renderer.xscale.r_invert(t,i),n=h-x,r=h+x,[l,d]=this.renderer.yscale.r_invert(n,r));const y=[];for(const e of this.index.indices({x0:a,x1:c,y0:l,y1:d})){const a=this.sradius[e]**2;[t,i]=this.renderer.xscale.r_compute(_,this._x[e]),[n,r]=this.renderer.yscale.r_compute(p,this._y[e]),s=(t-i)**2+(n-r)**2,s<=a&&y.push(e)}const f=\"anticlock\"==this.model.direction,m=[];for(const e of y){const s=Math.atan2(h-this.sy[e],o-this.sx[e]);(0,u.angle_between)(-s,-this.start_angle.get(e),-this.end_angle.get(e),f)&&m.push(e)}return new g.Selection({indices:m})}draw_legend_for_index(e,s,t){(0,l.generic_area_vector_legend)(this.visuals,e,s,t)}scenterxy(e){const s=this.sradius[e]/2,t=(this.start_angle.get(e)+this.end_angle.get(e))/2;return[this.sx[e]+s*Math.cos(t),this.sy[e]+s*Math.sin(t)]}}t.WedgeView=p,p.__name__=\"WedgeView\";class x extends c.XYGlyph{constructor(e){super(e)}}t.Wedge=x,a=x,x.__name__=\"Wedge\",a.prototype.default_view=p,a.mixins([d.LineVector,d.FillVector,d.HatchVector]),a.define((({})=>({direction:[h.Direction,\"anticlock\"],radius:[_.DistanceSpec,{field:\"radius\"}],start_angle:[_.AngleSpec,{field:\"start_angle\"}],end_angle:[_.AngleSpec,{field:\"end_angle\"}]})))},\n", " function _(t,_,r,o,a){o();const e=t(1);(0,e.__exportStar)(t(302),r),(0,e.__exportStar)(t(303),r),(0,e.__exportStar)(t(304),r)},\n", " function _(e,t,d,n,s){n();const o=e(53),r=e(12),_=e(9),i=e(72);class c extends o.Model{constructor(e){super(e)}_hit_test(e,t,d){if(!t.model.visible)return null;const n=d.glyph.hit_test(e);return null==n?null:d.model.view.convert_selection_from_subset(n)}}d.GraphHitTestPolicy=c,c.__name__=\"GraphHitTestPolicy\";class a extends c{constructor(e){super(e)}hit_test(e,t){return this._hit_test(e,t,t.edge_view)}do_selection(e,t,d,n){if(null==e)return!1;const s=t.edge_renderer.data_source.selected;return s.update(e,d,n),t.edge_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,d,n,s){if(null==e)return!1;const{edge_renderer:o}=d.model,r=o.get_selection_manager().get_or_create_inspector(d.edge_view.model);return r.update(e,n,s),d.edge_view.model.data_source.setv({inspected:r},{silent:!0}),d.edge_view.model.data_source.inspect.emit([d.edge_view.model,{geometry:t}]),!r.is_empty()}}d.EdgesOnly=a,a.__name__=\"EdgesOnly\";class l extends c{constructor(e){super(e)}hit_test(e,t){return this._hit_test(e,t,t.node_view)}do_selection(e,t,d,n){if(null==e)return!1;const s=t.node_renderer.data_source.selected;return s.update(e,d,n),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,d,n,s){if(null==e)return!1;const{node_renderer:o}=d.model,r=o.get_selection_manager().get_or_create_inspector(d.node_view.model);return r.update(e,n,s),d.node_view.model.data_source.setv({inspected:r},{silent:!0}),d.node_view.model.data_source.inspect.emit([d.node_view.model,{geometry:t}]),!r.is_empty()}}d.NodesOnly=l,l.__name__=\"NodesOnly\";class u extends c{constructor(e){super(e)}hit_test(e,t){return this._hit_test(e,t,t.node_view)}get_linked_edges(e,t,d){let n=[];\"selection\"==d?n=e.selected.indices.map((t=>e.data.index[t])):\"inspection\"==d&&(n=e.inspected.indices.map((t=>e.data.index[t])));const s=[];for(let e=0;e(0,r.indexOf)(e.data.index,t)));return new i.Selection({indices:o})}do_selection(e,t,d,n){if(null==e)return!1;const s=t.edge_renderer.data_source.selected;s.update(e,d,n);const o=t.node_renderer.data_source.selected,r=this.get_linked_nodes(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(r,d,n),t.edge_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,d,n,s){if(null==e)return!1;const o=d.edge_view.model.data_source.selection_manager.get_or_create_inspector(d.edge_view.model);o.update(e,n,s),d.edge_view.model.data_source.setv({inspected:o},{silent:!0});const r=d.node_view.model.data_source.selection_manager.get_or_create_inspector(d.node_view.model),_=this.get_linked_nodes(d.node_view.model.data_source,d.edge_view.model.data_source,\"inspection\");return r.update(_,n,s),d.node_view.model.data_source.setv({inspected:r},{silent:!0}),d.edge_view.model.data_source.inspect.emit([d.edge_view.model,{geometry:t}]),!o.is_empty()}}d.EdgesAndLinkedNodes=m,m.__name__=\"EdgesAndLinkedNodes\"},\n", " function _(e,o,t,r,n){var s;r();const a=e(53),d=e(260);class _ extends a.Model{constructor(e){super(e)}get node_coordinates(){return new u({layout:this})}get edge_coordinates(){return new i({layout:this})}}t.LayoutProvider=_,_.__name__=\"LayoutProvider\";class c extends d.CoordinateTransform{constructor(e){super(e)}}t.GraphCoordinates=c,s=c,c.__name__=\"GraphCoordinates\",s.define((({Ref:e})=>({layout:[e(_)]})));class u extends c{constructor(e){super(e)}_v_compute(e){const[o,t]=this.layout.get_node_coordinates(e);return{x:o,y:t}}}t.NodeCoordinates=u,u.__name__=\"NodeCoordinates\";class i extends c{constructor(e){super(e)}_v_compute(e){const[o,t]=this.layout.get_edge_coordinates(e);return{x:o,y:t}}}t.EdgeCoordinates=i,i.__name__=\"EdgeCoordinates\"},\n", " function _(t,a,l,e,n){var o;e();const r=t(303);class u extends r.LayoutProvider{constructor(t){super(t)}get_node_coordinates(t){var a;const l=null!==(a=t.data.index)&&void 0!==a?a:[],e=l.length,n=new Float64Array(e),o=new Float64Array(e);for(let t=0;t({graph_layout:[l(a(t,t)),{}]})))},\n", " function _(i,d,n,r,G){r(),G(\"Grid\",i(306).Grid)},\n", " function _(i,e,n,s,t){s();const r=i(1);var o;const d=i(127),_=i(129),a=i(130),l=(0,r.__importStar)(i(48)),h=i(8);class c extends _.GuideRendererView{_render(){const i=this.layer.ctx;i.save(),this._draw_regions(i),this._draw_minor_grids(i),this._draw_grids(i),i.restore()}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render()))}_draw_regions(i){if(!this.visuals.band_fill.doit&&!this.visuals.band_hatch.doit)return;const[e,n]=this.grid_coords(\"major\",!1);for(let s=0;sn[1]&&(t=n[1]);else{[s,t]=n;for(const i of this.plot_view.axis_views)i.dimension==this.model.dimension&&i.model.x_range_name==this.model.x_range_name&&i.model.y_range_name==this.model.y_range_name&&([s,t]=i.computed_bounds)}return[s,t]}grid_coords(i,e=!0){const n=this.model.dimension,s=(n+1)%2,[t,r]=this.ranges();let[o,d]=this.computed_bounds();[o,d]=[Math.min(o,d),Math.max(o,d)];const _=[[],[]],a=this.model.get_ticker();if(null==a)return _;const l=a.get_ticks(o,d,t,r.min)[i],h=t.min,c=t.max,u=r.min,m=r.max;e||(l[0]!=h&&l.splice(0,0,h),l[l.length-1]!=c&&l.push(c));for(let i=0;i({bounds:[r(t(i,i),e),\"auto\"],dimension:[n(0,1),0],axis:[o(s(d.Axis)),null],ticker:[o(s(a.Ticker)),null]}))),o.override({level:\"underlay\",band_fill_color:null,band_fill_alpha:0,grid_line_color:\"#e5e5e5\",minor_grid_line_color:null})},\n", " function _(o,a,x,B,e){B(),e(\"Box\",o(308).Box),e(\"Column\",o(310).Column),e(\"GridBox\",o(311).GridBox),e(\"HTMLBox\",o(312).HTMLBox),e(\"LayoutDOM\",o(309).LayoutDOM),e(\"Panel\",o(313).Panel),e(\"Row\",o(314).Row),e(\"Spacer\",o(315).Spacer),e(\"Tabs\",o(316).Tabs),e(\"WidgetBox\",o(319).WidgetBox)},\n", " function _(e,n,s,t,c){var i;t();const o=e(309);class r extends o.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,(()=>this.rebuild()))}get child_models(){return this.model.children}}s.BoxView=r,r.__name__=\"BoxView\";class a extends o.LayoutDOM{constructor(e){super(e)}}s.Box=a,i=a,a.__name__=\"Box\",i.define((({Number:e,Array:n,Ref:s})=>({children:[n(s(o.LayoutDOM)),[]],spacing:[e,0]})))},\n", " function _(t,i,e,s,o){var l;s();const n=t(53),h=t(20),a=t(43),r=t(19),_=t(8),c=t(22),u=t(121),d=t(113),p=t(226),m=t(207),g=t(44),w=t(235);class f extends p.DOMView{constructor(){super(...arguments),this._offset_parent=null,this._viewport={}}get is_layout_root(){return this.is_root||!(this.parent instanceof f)}get base_font_size(){const t=getComputedStyle(this.el).fontSize,i=(0,u.parse_css_font_size)(t);if(null!=i){const{value:t,unit:e}=i;if(\"px\"==e)return t}return null}initialize(){super.initialize(),this.el.style.position=this.is_layout_root?\"relative\":\"absolute\",this._child_views=new Map}async lazy_initialize(){await super.lazy_initialize(),await this.build_child_views()}remove(){for(const t of this.child_views)t.remove();this._child_views.clear(),super.remove()}connect_signals(){super.connect_signals(),this.is_layout_root&&(this._on_resize=()=>this.resize_layout(),window.addEventListener(\"resize\",this._on_resize),this._parent_observer=setInterval((()=>{const t=this.el.offsetParent;this._offset_parent!=t&&(this._offset_parent=t,null!=t&&(this.compute_viewport(),this.invalidate_layout()))}),250));const t=this.model.properties;this.on_change([t.width,t.height,t.min_width,t.min_height,t.max_width,t.max_height,t.margin,t.width_policy,t.height_policy,t.sizing_mode,t.aspect_ratio,t.visible],(()=>this.invalidate_layout())),this.on_change([t.background,t.css_classes],(()=>this.invalidate_render()))}disconnect_signals(){null!=this._parent_observer&&clearTimeout(this._parent_observer),null!=this._on_resize&&window.removeEventListener(\"resize\",this._on_resize),super.disconnect_signals()}css_classes(){return super.css_classes().concat(this.model.css_classes)}get child_views(){return this.child_models.map((t=>this._child_views.get(t)))}async build_child_views(){await(0,d.build_views)(this._child_views,this.child_models,{parent:this})}render(){super.render(),(0,a.empty)(this.el);const{background:t}=this.model;this.el.style.backgroundColor=null!=t?(0,c.color2css)(t):\"\",(0,a.classes)(this.el).clear().add(...this.css_classes());for(const t of this.child_views)this.el.appendChild(t.el),t.render()}update_layout(){for(const t of this.child_views)t.update_layout();this._update_layout()}update_position(){this.el.style.display=this.model.visible?\"block\":\"none\";const t=this.is_layout_root?this.layout.sizing.margin:void 0;(0,a.position)(this.el,this.layout.bbox,t);for(const t of this.child_views)t.update_position()}after_layout(){for(const t of this.child_views)t.after_layout();this._has_finished=!0}compute_viewport(){this._viewport=this._viewport_size()}renderTo(t){t.appendChild(this.el),this._offset_parent=this.el.offsetParent,this.compute_viewport(),this.build(),this.notify_finished()}build(){if(!this.is_layout_root)throw new Error(`${this.toString()} is not a root layout`);return this.render(),this.update_layout(),this.compute_layout(),this}async rebuild(){await this.build_child_views(),this.invalidate_render()}compute_layout(){const t=Date.now();this.layout.compute(this._viewport),this.update_position(),this.after_layout(),r.logger.debug(`layout computed in ${Date.now()-t} ms`)}resize_layout(){this.root.compute_viewport(),this.root.compute_layout()}invalidate_layout(){this.root.update_layout(),this.root.compute_layout()}invalidate_render(){this.render(),this.invalidate_layout()}has_finished(){if(!super.has_finished())return!1;for(const t of this.child_views)if(!t.has_finished())return!1;return!0}_width_policy(){return null!=this.model.width?\"fixed\":\"fit\"}_height_policy(){return null!=this.model.height?\"fixed\":\"fit\"}box_sizing(){let{width_policy:t,height_policy:i,aspect_ratio:e}=this.model;\"auto\"==t&&(t=this._width_policy()),\"auto\"==i&&(i=this._height_policy());const{sizing_mode:s}=this.model;if(null!=s)if(\"fixed\"==s)t=i=\"fixed\";else if(\"stretch_both\"==s)t=i=\"max\";else if(\"stretch_width\"==s)t=\"max\";else if(\"stretch_height\"==s)i=\"max\";else switch(null==e&&(e=\"auto\"),s){case\"scale_width\":t=\"max\",i=\"min\";break;case\"scale_height\":t=\"min\",i=\"max\";break;case\"scale_both\":t=\"max\",i=\"max\"}const o={width_policy:t,height_policy:i},{min_width:l,min_height:n}=this.model;null!=l&&(o.min_width=l),null!=n&&(o.min_height=n);const{width:h,height:a}=this.model;null!=h&&(o.width=h),null!=a&&(o.height=a);const{max_width:r,max_height:c}=this.model;null!=r&&(o.max_width=r),null!=c&&(o.max_height=c),\"auto\"==e&&null!=h&&null!=a?o.aspect=h/a:(0,_.isNumber)(e)&&(o.aspect=e);const{margin:u}=this.model;if(null!=u)if((0,_.isNumber)(u))o.margin={top:u,right:u,bottom:u,left:u};else if(2==u.length){const[t,i]=u;o.margin={top:t,right:i,bottom:t,left:i}}else{const[t,i,e,s]=u;o.margin={top:t,right:i,bottom:e,left:s}}o.visible=this.model.visible;const{align:d}=this.model;return(0,_.isArray)(d)?[o.halign,o.valign]=d:o.halign=o.valign=d,o}_viewport_size(){return(0,a.undisplayed)(this.el,(()=>{let t=this.el;for(;t=t.parentElement;){if(t.classList.contains(g.root))continue;if(t==document.body){const{margin:{left:t,right:i,top:e,bottom:s}}=(0,a.extents)(document.body);return{width:Math.ceil(document.documentElement.clientWidth-t-i),height:Math.ceil(document.documentElement.clientHeight-e-s)}}const{padding:{left:i,right:e,top:s,bottom:o}}=(0,a.extents)(t),{width:l,height:n}=t.getBoundingClientRect(),h=Math.ceil(l-i-e),r=Math.ceil(n-s-o);if(h>0||r>0)return{width:h>0?h:void 0,height:r>0?r:void 0}}return{}}))}export(t,i=!0){const e=\"png\"==t?\"canvas\":\"svg\",s=new w.CanvasLayer(e,i),{width:o,height:l}=this.layout.bbox;s.resize(o,l);for(const e of this.child_views){const o=e.export(t,i),{x:l,y:n}=e.layout.bbox;s.ctx.drawImage(o.canvas,l,n)}return s}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box,children:this.child_views.map((t=>t.serializable_state()))})}}e.LayoutDOMView=f,f.__name__=\"LayoutDOMView\";class y extends n.Model{constructor(t){super(t)}}e.LayoutDOM=y,l=y,y.__name__=\"LayoutDOM\",l.define((t=>{const{Boolean:i,Number:e,String:s,Auto:o,Color:l,Array:n,Tuple:a,Or:r,Null:_,Nullable:c}=t,u=a(e,e),d=a(e,e,e,e);return{width:[c(e),null],height:[c(e),null],min_width:[c(e),null],min_height:[c(e),null],max_width:[c(e),null],max_height:[c(e),null],margin:[c(r(e,u,d)),[0,0,0,0]],width_policy:[r(m.SizingPolicy,o),\"auto\"],height_policy:[r(m.SizingPolicy,o),\"auto\"],aspect_ratio:[r(e,o,_),null],sizing_mode:[c(h.SizingMode),null],visible:[i,!0],disabled:[i,!1],align:[r(h.Align,a(h.Align,h.Align)),\"start\"],background:[c(l),null],css_classes:[n(s),[]]}}))},\n", " function _(o,s,t,i,e){var n;i();const a=o(308),l=o(209);class u extends a.BoxView{_update_layout(){const o=this.child_views.map((o=>o.layout));this.layout=new l.Column(o),this.layout.rows=this.model.rows,this.layout.spacing=[this.model.spacing,0],this.layout.set_sizing(this.box_sizing())}}t.ColumnView=u,u.__name__=\"ColumnView\";class _ extends a.Box{constructor(o){super(o)}}t.Column=_,n=_,_.__name__=\"Column\",n.prototype.default_view=u,n.define((({Any:o})=>({rows:[o,\"auto\"]})))},\n", " function _(s,o,t,i,e){var n;i();const l=s(309),a=s(209);class r extends l.LayoutDOMView{connect_signals(){super.connect_signals();const{children:s,rows:o,cols:t,spacing:i}=this.model.properties;this.on_change([s,o,t,i],(()=>this.rebuild()))}get child_models(){return this.model.children.map((([s])=>s))}_update_layout(){this.layout=new a.Grid,this.layout.rows=this.model.rows,this.layout.cols=this.model.cols,this.layout.spacing=this.model.spacing;for(const[s,o,t,i,e]of this.model.children){const n=this._child_views.get(s);this.layout.items.push({layout:n.layout,row:o,col:t,row_span:i,col_span:e})}this.layout.set_sizing(this.box_sizing())}}t.GridBoxView=r,r.__name__=\"GridBoxView\";class c extends l.LayoutDOM{constructor(s){super(s)}}t.GridBox=c,n=c,c.__name__=\"GridBox\",n.prototype.default_view=r,n.define((({Any:s,Int:o,Number:t,Tuple:i,Array:e,Ref:n,Or:a,Opt:r})=>({children:[e(i(n(l.LayoutDOM),o,o,r(o),r(o))),[]],rows:[s,\"auto\"],cols:[s,\"auto\"],spacing:[a(t,i(t,t)),0]})))},\n", " function _(t,e,o,s,n){s();const _=t(309),i=t(207);class a extends _.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new i.ContentBox(this.el),this.layout.set_sizing(this.box_sizing())}}o.HTMLBoxView=a,a.__name__=\"HTMLBoxView\";class u extends _.LayoutDOM{constructor(t){super(t)}}o.HTMLBox=u,u.__name__=\"HTMLBox\"},\n", " function _(e,n,l,a,o){var t;a();const s=e(53),c=e(309);class d extends s.Model{constructor(e){super(e)}}l.Panel=d,t=d,d.__name__=\"Panel\",t.define((({Boolean:e,String:n,Ref:l})=>({title:[n,\"\"],child:[l(c.LayoutDOM)],closable:[e,!1],disabled:[e,!1]})))},\n", " function _(o,s,t,i,e){var a;i();const n=o(308),l=o(209);class _ extends n.BoxView{_update_layout(){const o=this.child_views.map((o=>o.layout));this.layout=new l.Row(o),this.layout.cols=this.model.cols,this.layout.spacing=[0,this.model.spacing],this.layout.set_sizing(this.box_sizing())}}t.RowView=_,_.__name__=\"RowView\";class c extends n.Box{constructor(o){super(o)}}t.Row=c,a=c,c.__name__=\"Row\",a.prototype.default_view=_,a.define((({Any:o})=>({cols:[o,\"auto\"]})))},\n", " function _(e,t,a,s,_){var o;s();const i=e(309),n=e(207);class u extends i.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new n.LayoutItem,this.layout.set_sizing(this.box_sizing())}}a.SpacerView=u,u.__name__=\"SpacerView\";class c extends i.LayoutDOM{constructor(e){super(e)}}a.Spacer=c,o=c,c.__name__=\"Spacer\",o.prototype.default_view=u},\n", " function _(e,t,s,i,l){i();const h=e(1);var a;const o=e(207),d=e(43),r=e(9),c=e(10),n=e(20),_=e(309),p=e(313),b=(0,h.__importStar)(e(317)),m=b,u=(0,h.__importStar)(e(318)),g=u,v=(0,h.__importStar)(e(229)),w=v;class f extends _.LayoutDOMView{constructor(){super(...arguments),this._scroll_index=0}connect_signals(){super.connect_signals(),this.connect(this.model.properties.tabs.change,(()=>this.rebuild())),this.connect(this.model.properties.active.change,(()=>this.on_active_change()))}styles(){return[...super.styles(),u.default,v.default,b.default]}get child_models(){return this.model.tabs.map((e=>e.child))}_update_layout(){const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,{scroll_el:s,headers_el:i}=this;this.header=new class extends o.ContentBox{_measure(e){const l=(0,d.size)(s),h=(0,d.children)(i).slice(0,3).map((e=>(0,d.size)(e))),{width:a,height:o}=super._measure(e);if(t){const t=l.width+(0,r.sum)(h.map((e=>e.width)));return{width:e.width!=1/0?e.width:t,height:o}}{const t=l.height+(0,r.sum)(h.map((e=>e.height)));return{width:a,height:e.height!=1/0?e.height:t}}}}(this.header_el),t?this.header.set_sizing({width_policy:\"fit\",height_policy:\"fixed\"}):this.header.set_sizing({width_policy:\"fixed\",height_policy:\"fit\"});let l=1,h=1;switch(e){case\"above\":l-=1;break;case\"below\":l+=1;break;case\"left\":h-=1;break;case\"right\":h+=1}const a={layout:this.header,row:l,col:h},c=this.child_views.map((e=>({layout:e.layout,row:1,col:1})));this.layout=new o.Grid([a,...c]),this.layout.set_sizing(this.box_sizing())}update_position(){super.update_position(),this.header_el.style.position=\"absolute\",(0,d.position)(this.header_el,this.header.bbox);const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,s=(0,d.size)(this.scroll_el),i=(0,d.scroll_size)(this.headers_el);if(t){const{width:e}=this.header.bbox;i.width>e?(this.wrapper_el.style.maxWidth=e-s.width+\"px\",(0,d.display)(this.scroll_el),this.do_scroll(this.model.active)):(this.wrapper_el.style.maxWidth=\"\",(0,d.undisplay)(this.scroll_el))}else{const{height:e}=this.header.bbox;i.height>e?(this.wrapper_el.style.maxHeight=e-s.height+\"px\",(0,d.display)(this.scroll_el),this.do_scroll(this.model.active)):(this.wrapper_el.style.maxHeight=\"\",(0,d.undisplay)(this.scroll_el))}const{child_views:l}=this;for(const e of l)(0,d.hide)(e.el);const h=l[this.model.active];null!=h&&(0,d.show)(h.el)}render(){super.render();const{active:e}=this.model,t=this.model.tabs.map(((t,s)=>{const i=(0,d.div)({class:[m.tab,s==e?m.active:null]},t.title);if(i.addEventListener(\"click\",(e=>{this.model.disabled||e.target==e.currentTarget&&this.change_active(s)})),t.closable){const e=(0,d.div)({class:m.close});e.addEventListener(\"click\",(e=>{if(e.target==e.currentTarget){this.model.tabs=(0,r.remove_at)(this.model.tabs,s);const e=this.model.tabs.length;this.model.active>e-1&&(this.model.active=e-1)}})),i.appendChild(e)}return(this.model.disabled||t.disabled)&&i.classList.add(m.disabled),i}));this.headers_el=(0,d.div)({class:[m.headers]},t),this.wrapper_el=(0,d.div)({class:m.headers_wrapper},this.headers_el),this.left_el=(0,d.div)({class:[g.btn,g.btn_default],disabled:\"\"},(0,d.div)({class:[w.caret,m.left]})),this.right_el=(0,d.div)({class:[g.btn,g.btn_default]},(0,d.div)({class:[w.caret,m.right]})),this.left_el.addEventListener(\"click\",(()=>this.do_scroll(\"left\"))),this.right_el.addEventListener(\"click\",(()=>this.do_scroll(\"right\"))),this.scroll_el=(0,d.div)({class:g.btn_group},this.left_el,this.right_el);const s=this.model.tabs_location;this.header_el=(0,d.div)({class:[m.tabs_header,m[s]]},this.scroll_el,this.wrapper_el),this.el.appendChild(this.header_el)}do_scroll(e){const t=this.model.tabs.length;\"left\"==e?this._scroll_index-=1:\"right\"==e?this._scroll_index+=1:this._scroll_index=e,this._scroll_index=(0,c.clamp)(this._scroll_index,0,t-1),0==this._scroll_index?this.left_el.setAttribute(\"disabled\",\"\"):this.left_el.removeAttribute(\"disabled\"),this._scroll_index==t-1?this.right_el.setAttribute(\"disabled\",\"\"):this.right_el.removeAttribute(\"disabled\");const s=(0,d.children)(this.headers_el).slice(0,this._scroll_index).map((e=>e.getBoundingClientRect())),i=this.model.tabs_location;if(\"above\"==i||\"below\"==i){const e=-(0,r.sum)(s.map((e=>e.width)));this.headers_el.style.left=`${e}px`}else{const e=-(0,r.sum)(s.map((e=>e.height)));this.headers_el.style.top=`${e}px`}}change_active(e){e!=this.model.active&&(this.model.active=e)}on_active_change(){const e=this.model.active,t=(0,d.children)(this.headers_el);for(const e of t)e.classList.remove(m.active);t[e].classList.add(m.active);const{child_views:s}=this;for(const e of s)(0,d.hide)(e.el);(0,d.show)(s[e].el)}}s.TabsView=f,f.__name__=\"TabsView\";class x extends _.LayoutDOM{constructor(e){super(e)}}s.Tabs=x,a=x,x.__name__=\"Tabs\",a.prototype.default_view=f,a.define((({Int:e,Array:t,Ref:s})=>({tabs:[t(s(p.Panel)),[]],tabs_location:[n.Location,\"above\"],active:[e,0]})))},\n", " function _(e,r,b,o,t){o(),b.root=\"bk-root\",b.tabs_header=\"bk-tabs-header\",b.btn_group=\"bk-btn-group\",b.btn=\"bk-btn\",b.headers_wrapper=\"bk-headers-wrapper\",b.above=\"bk-above\",b.right=\"bk-right\",b.below=\"bk-below\",b.left=\"bk-left\",b.headers=\"bk-headers\",b.tab=\"bk-tab\",b.active=\"bk-active\",b.close=\"bk-close\",b.disabled=\"bk-disabled\",b.default='.bk-root .bk-tabs-header{display:flex;flex-wrap:nowrap;align-items:center;overflow:hidden;user-select:none;-ms-user-select:none;-moz-user-select:none;-webkit-user-select:none;}.bk-root .bk-tabs-header .bk-btn-group{height:auto;margin-right:5px;}.bk-root .bk-tabs-header .bk-btn-group > .bk-btn{flex-grow:0;height:auto;padding:4px 4px;}.bk-root .bk-tabs-header .bk-headers-wrapper{flex-grow:1;overflow:hidden;color:#666666;}.bk-root .bk-tabs-header.bk-above .bk-headers-wrapper{border-bottom:1px solid #e6e6e6;}.bk-root .bk-tabs-header.bk-right .bk-headers-wrapper{border-left:1px solid #e6e6e6;}.bk-root .bk-tabs-header.bk-below .bk-headers-wrapper{border-top:1px solid #e6e6e6;}.bk-root .bk-tabs-header.bk-left .bk-headers-wrapper{border-right:1px solid #e6e6e6;}.bk-root .bk-tabs-header.bk-above,.bk-root .bk-tabs-header.bk-below{flex-direction:row;}.bk-root .bk-tabs-header.bk-above .bk-headers,.bk-root .bk-tabs-header.bk-below .bk-headers{flex-direction:row;}.bk-root .bk-tabs-header.bk-left,.bk-root .bk-tabs-header.bk-right{flex-direction:column;}.bk-root .bk-tabs-header.bk-left .bk-headers,.bk-root .bk-tabs-header.bk-right .bk-headers{flex-direction:column;}.bk-root .bk-tabs-header .bk-headers{position:relative;display:flex;flex-wrap:nowrap;align-items:center;}.bk-root .bk-tabs-header .bk-tab{padding:4px 8px;border:solid transparent;white-space:nowrap;cursor:pointer;}.bk-root .bk-tabs-header .bk-tab:hover{background-color:#f2f2f2;}.bk-root .bk-tabs-header .bk-tab.bk-active{color:#4d4d4d;background-color:white;border-color:#e6e6e6;}.bk-root .bk-tabs-header .bk-tab .bk-close{margin-left:10px;}.bk-root .bk-tabs-header .bk-tab.bk-disabled{cursor:not-allowed;pointer-events:none;opacity:0.65;}.bk-root .bk-tabs-header.bk-above .bk-tab{border-width:3px 1px 0px 1px;border-radius:4px 4px 0 0;}.bk-root .bk-tabs-header.bk-right .bk-tab{border-width:1px 3px 1px 0px;border-radius:0 4px 4px 0;}.bk-root .bk-tabs-header.bk-below .bk-tab{border-width:0px 1px 3px 1px;border-radius:0 0 4px 4px;}.bk-root .bk-tabs-header.bk-left .bk-tab{border-width:1px 0px 1px 3px;border-radius:4px 0 0 4px;}.bk-root .bk-close{display:inline-block;width:10px;height:10px;vertical-align:middle;background-image:url(\\'data:image/svg+xml;utf8, \\');}.bk-root .bk-close:hover{background-image:url(\\'data:image/svg+xml;utf8, \\');}'},\n", " function _(o,b,r,t,e){t(),r.root=\"bk-root\",r.btn=\"bk-btn\",r.active=\"bk-active\",r.btn_default=\"bk-btn-default\",r.btn_primary=\"bk-btn-primary\",r.btn_success=\"bk-btn-success\",r.btn_warning=\"bk-btn-warning\",r.btn_danger=\"bk-btn-danger\",r.btn_light=\"bk-btn-light\",r.btn_group=\"bk-btn-group\",r.vertical=\"bk-vertical\",r.horizontal=\"bk-horizontal\",r.dropdown_toggle=\"bk-dropdown-toggle\",r.default=\".bk-root .bk-btn{height:100%;display:inline-block;text-align:center;vertical-align:middle;white-space:nowrap;cursor:pointer;padding:6px 12px;font-size:12px;border:1px solid transparent;border-radius:4px;outline:0;user-select:none;-ms-user-select:none;-moz-user-select:none;-webkit-user-select:none;}.bk-root .bk-btn:hover,.bk-root .bk-btn:focus{text-decoration:none;}.bk-root .bk-btn:active,.bk-root .bk-btn.bk-active{background-image:none;box-shadow:inset 0 3px 5px rgba(0, 0, 0, 0.125);}.bk-root .bk-btn[disabled]{cursor:not-allowed;pointer-events:none;opacity:0.65;box-shadow:none;}.bk-root .bk-btn-default{color:#333;background-color:#fff;border-color:#ccc;}.bk-root .bk-btn-default:hover{background-color:#f5f5f5;border-color:#b8b8b8;}.bk-root .bk-btn-default.bk-active{background-color:#ebebeb;border-color:#adadad;}.bk-root .bk-btn-default[disabled],.bk-root .bk-btn-default[disabled]:hover,.bk-root .bk-btn-default[disabled]:focus,.bk-root .bk-btn-default[disabled]:active,.bk-root .bk-btn-default[disabled].bk-active{background-color:#e6e6e6;border-color:#ccc;}.bk-root .bk-btn-primary{color:#fff;background-color:#428bca;border-color:#357ebd;}.bk-root .bk-btn-primary:hover{background-color:#3681c1;border-color:#2c699e;}.bk-root .bk-btn-primary.bk-active{background-color:#3276b1;border-color:#285e8e;}.bk-root .bk-btn-primary[disabled],.bk-root .bk-btn-primary[disabled]:hover,.bk-root .bk-btn-primary[disabled]:focus,.bk-root .bk-btn-primary[disabled]:active,.bk-root .bk-btn-primary[disabled].bk-active{background-color:#506f89;border-color:#357ebd;}.bk-root .bk-btn-success{color:#fff;background-color:#5cb85c;border-color:#4cae4c;}.bk-root .bk-btn-success:hover{background-color:#4eb24e;border-color:#409240;}.bk-root .bk-btn-success.bk-active{background-color:#47a447;border-color:#398439;}.bk-root .bk-btn-success[disabled],.bk-root .bk-btn-success[disabled]:hover,.bk-root .bk-btn-success[disabled]:focus,.bk-root .bk-btn-success[disabled]:active,.bk-root .bk-btn-success[disabled].bk-active{background-color:#667b66;border-color:#4cae4c;}.bk-root .bk-btn-warning{color:#fff;background-color:#f0ad4e;border-color:#eea236;}.bk-root .bk-btn-warning:hover{background-color:#eea43b;border-color:#e89014;}.bk-root .bk-btn-warning.bk-active{background-color:#ed9c28;border-color:#d58512;}.bk-root .bk-btn-warning[disabled],.bk-root .bk-btn-warning[disabled]:hover,.bk-root .bk-btn-warning[disabled]:focus,.bk-root .bk-btn-warning[disabled]:active,.bk-root .bk-btn-warning[disabled].bk-active{background-color:#c89143;border-color:#eea236;}.bk-root .bk-btn-danger{color:#fff;background-color:#d9534f;border-color:#d43f3a;}.bk-root .bk-btn-danger:hover{background-color:#d5433e;border-color:#bd2d29;}.bk-root .bk-btn-danger.bk-active{background-color:#d2322d;border-color:#ac2925;}.bk-root .bk-btn-danger[disabled],.bk-root .bk-btn-danger[disabled]:hover,.bk-root .bk-btn-danger[disabled]:focus,.bk-root .bk-btn-danger[disabled]:active,.bk-root .bk-btn-danger[disabled].bk-active{background-color:#a55350;border-color:#d43f3a;}.bk-root .bk-btn-light{color:#333;background-color:#fff;border-color:#ccc;border-color:transparent;}.bk-root .bk-btn-light:hover{background-color:#f5f5f5;border-color:#b8b8b8;}.bk-root .bk-btn-light.bk-active{background-color:#ebebeb;border-color:#adadad;}.bk-root .bk-btn-light[disabled],.bk-root .bk-btn-light[disabled]:hover,.bk-root .bk-btn-light[disabled]:focus,.bk-root .bk-btn-light[disabled]:active,.bk-root .bk-btn-light[disabled].bk-active{background-color:#e6e6e6;border-color:#ccc;}.bk-root .bk-btn-group{height:100%;display:flex;flex-wrap:nowrap;align-items:center;}.bk-root .bk-btn-group:not(.bk-vertical),.bk-root .bk-btn-group.bk-horizontal{flex-direction:row;}.bk-root .bk-btn-group.bk-vertical{flex-direction:column;}.bk-root .bk-btn-group > .bk-btn{flex-grow:1;}.bk-root .bk-btn-group:not(.bk-vertical) > .bk-btn + .bk-btn{margin-left:-1px;}.bk-root .bk-btn-group.bk-vertical > .bk-btn + .bk-btn{margin-top:-1px;}.bk-root .bk-btn-group:not(.bk-vertical) > .bk-btn:first-child:not(:last-child){border-bottom-right-radius:0;border-top-right-radius:0;}.bk-root .bk-btn-group.bk-vertical > .bk-btn:first-child:not(:last-child){border-bottom-left-radius:0;border-bottom-right-radius:0;}.bk-root .bk-btn-group:not(.bk-vertical) > .bk-btn:not(:first-child):last-child{border-bottom-left-radius:0;border-top-left-radius:0;}.bk-root .bk-btn-group.bk-vertical > .bk-btn:not(:first-child):last-child{border-top-left-radius:0;border-top-right-radius:0;}.bk-root .bk-btn-group > .bk-btn:not(:first-child):not(:last-child){border-radius:0;}.bk-root .bk-btn-group.bk-vertical > .bk-btn{width:100%;}.bk-root .bk-btn-group .bk-dropdown-toggle{flex:0 0 0;padding:6px 6px;}\"},\n", " function _(e,t,o,n,_){var i;n();const s=e(310);class d extends s.ColumnView{}o.WidgetBoxView=d,d.__name__=\"WidgetBoxView\";class a extends s.Column{constructor(e){super(e)}}o.WidgetBox=a,i=a,a.__name__=\"WidgetBox\",i.prototype.default_view=d},\n", " function _(t,a,i,e,M){e();var T=t(135);M(\"MathText\",T.MathText),M(\"Ascii\",T.Ascii),M(\"MathML\",T.MathML),M(\"TeX\",T.TeX),M(\"PlainText\",t(139).PlainText)},\n", " function _(r,o,t,e,n){e(),n(\"CustomJSTransform\",r(322).CustomJSTransform),n(\"Dodge\",r(323).Dodge),n(\"Interpolator\",r(325).Interpolator),n(\"Jitter\",r(326).Jitter),n(\"LinearInterpolator\",r(327).LinearInterpolator),n(\"StepInterpolator\",r(328).StepInterpolator),n(\"Transform\",r(56).Transform)},\n", " function _(r,t,s,n,e){var a;n();const u=r(56),o=r(13),m=r(34);class _ extends u.Transform{constructor(r){super(r)}get names(){return(0,o.keys)(this.args)}get values(){return(0,o.values)(this.args)}_make_transform(r,t){return new Function(...this.names,r,(0,m.use_strict)(t))}get scalar_transform(){return this._make_transform(\"x\",this.func)}get vector_transform(){return this._make_transform(\"xs\",this.v_func)}compute(r){return this.scalar_transform(...this.values,r)}v_compute(r){return this.vector_transform(...this.values,r)}}s.CustomJSTransform=_,a=_,_.__name__=\"CustomJSTransform\",a.define((({Unknown:r,String:t,Dict:s})=>({args:[s(r),{}],func:[t,\"\"],v_func:[t,\"\"]})))},\n", " function _(e,n,r,o,s){var t;o();const u=e(324);class a extends u.RangeTransform{constructor(e){super(e)}_compute(e){return e+this.value}}r.Dodge=a,t=a,a.__name__=\"Dodge\",t.define((({Number:e})=>({value:[e,0]})))},\n", " function _(e,n,t,r,a){var s;r();const c=e(56),o=e(57),i=e(67),u=e(24),h=e(8),l=e(11);class g extends c.Transform{constructor(e){super(e)}v_compute(e){let n;this.range instanceof i.FactorRange?n=this.range.v_synthetic(e):(0,h.isArrayableOf)(e,h.isNumber)?n=e:(0,l.unreachable)();const t=new((0,u.infer_type)(n))(n.length);for(let e=0;e({range:[n(e(o.Range)),null]})))},\n", " function _(t,e,r,n,s){var o;n();const i=t(56),a=t(70),h=t(24),l=t(9),d=t(8);class c extends i.Transform{constructor(t){super(t),this._sorted_dirty=!0}connect_signals(){super.connect_signals(),this.connect(this.change,(()=>this._sorted_dirty=!0))}v_compute(t){const e=new((0,h.infer_type)(t))(t.length);for(let 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i.Plot{constructor(e){super(e),this.use_map=!0}}n.GMapPlot=M,_=M,M.__name__=\"GMapPlot\",_.prototype.default_view=c.GMapPlotView,_.define((({String:e,Ref:t})=>({map_options:[t(u)],api_key:[e],api_version:[e,\"3.43\"]}))),_.override({x_range:()=>new l.Range1d,y_range:()=>new l.Range1d})},\n", " function _(e,t,r,n,i){n();const o=e(1);var a;const s=(0,o.__importStar)(e(48)),l=(0,o.__importStar)(e(18)),_=e(15),c=e(20),h=e(9),d=e(13),u=e(8),g=e(309),p=e(128),f=e(306),b=e(40),w=e(118),y=e(59),m=e(221),x=e(57),v=e(55),A=e(75),S=e(41),R=e(176),D=e(175),L=e(63),P=e(332);i(\"PlotView\",P.PlotView);class k extends g.LayoutDOM{constructor(e){super(e),this.use_map=!1}_doc_attached(){super._doc_attached(),this._push_changes([[this.properties.inner_height,null,this.inner_height],[this.properties.inner_width,null,this.inner_width]])}initialize(){super.initialize(),this.reset=new _.Signal0(this,\"reset\");for(const e of(0,d.values)(this.extra_x_ranges).concat(this.x_range)){let t=e.plots;(0,u.isArray)(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}for(const e of(0,d.values)(this.extra_y_ranges).concat(this.y_range)){let t=e.plots;(0,u.isArray)(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}}add_layout(e,t=\"center\"){const r=this.properties[t].get_value();this.setv({[t]:[...r,e]})}remove_layout(e){const t=t=>{(0,h.remove_by)(t,(t=>t==e))};t(this.left),t(this.right),t(this.above),t(this.below),t(this.center)}get data_renderers(){return this.renderers.filter((e=>e instanceof R.DataRenderer))}add_renderers(...e){this.renderers=this.renderers.concat(e)}add_glyph(e,t=new A.ColumnDataSource,r={}){const n=new D.GlyphRenderer(Object.assign(Object.assign({},r),{data_source:t,glyph:e}));return this.add_renderers(n),n}add_tools(...e){this.toolbar.tools=this.toolbar.tools.concat(e)}get panels(){return[...this.side_panels,...this.center]}get side_panels(){const{above:e,below:t,left:r,right:n}=this;return(0,h.concat)([e,t,r,n])}}r.Plot=k,a=k,k.__name__=\"Plot\",a.prototype.default_view=P.PlotView,a.mixins([[\"outline_\",s.Line],[\"background_\",s.Fill],[\"border_\",s.Fill]]),a.define((({Boolean:e,Number:t,String:r,Array:n,Dict:i,Or:o,Ref:a,Null:s,Nullable:_})=>({toolbar:[a(m.Toolbar),()=>new m.Toolbar],toolbar_location:[_(c.Location),\"right\"],toolbar_sticky:[e,!0],plot_width:[l.Alias(\"width\")],plot_height:[l.Alias(\"height\")],frame_width:[_(t),null],frame_height:[_(t),null],title:[o(a(w.Title),r,s),\"\",{convert:e=>(0,u.isString)(e)?new w.Title({text:e}):e}],title_location:[_(c.Location),\"above\"],above:[n(o(a(b.Annotation),a(p.Axis))),[]],below:[n(o(a(b.Annotation),a(p.Axis))),[]],left:[n(o(a(b.Annotation),a(p.Axis))),[]],right:[n(o(a(b.Annotation),a(p.Axis))),[]],center:[n(o(a(b.Annotation),a(f.Grid))),[]],renderers:[n(a(S.Renderer)),[]],x_range:[a(x.Range),()=>new L.DataRange1d],y_range:[a(x.Range),()=>new L.DataRange1d],x_scale:[a(v.Scale),()=>new y.LinearScale],y_scale:[a(v.Scale),()=>new y.LinearScale],extra_x_ranges:[i(a(x.Range)),{}],extra_y_ranges:[i(a(x.Range)),{}],extra_x_scales:[i(a(v.Scale)),{}],extra_y_scales:[i(a(v.Scale)),{}],lod_factor:[t,10],lod_interval:[t,300],lod_threshold:[_(t),2e3],lod_timeout:[t,500],hidpi:[e,!0],output_backend:[c.OutputBackend,\"canvas\"],min_border:[_(t),5],min_border_top:[_(t),null],min_border_left:[_(t),null],min_border_bottom:[_(t),null],min_border_right:[_(t),null],inner_width:[t,0],inner_height:[t,0],outer_width:[t,0],outer_height:[t,0],match_aspect:[e,!1],aspect_scale:[t,1],reset_policy:[c.ResetPolicy,\"standard\"]}))),a.override({width:600,height:600,outline_line_color:\"#e5e5e5\",border_fill_color:\"#ffffff\",background_fill_color:\"#ffffff\"})},\n", " function _(e,t,i,s,a){s();const n=e(1),o=e(126),l=e(249),r=e(309),_=e(40),h=e(118),d=e(128),u=e(220),c=e(251),p=e(113),v=e(45),g=e(19),b=e(251),m=e(333),y=e(8),w=e(9),f=e(235),x=e(208),z=e(211),k=e(209),q=e(123),M=e(65),R=e(334),V=e(335),S=e(28);class O extends r.LayoutDOMView{constructor(){super(...arguments),this._outer_bbox=new M.BBox,this._inner_bbox=new M.BBox,this._needs_paint=!0,this._needs_layout=!1,this._invalidated_painters=new Set,this._invalidate_all=!0,this._needs_notify=!1}get canvas(){return this.canvas_view}get state(){return this._state_manager}set invalidate_dataranges(e){this._range_manager.invalidate_dataranges=e}renderer_view(e){const t=this.renderer_views.get(e);if(null==t)for(const[,t]of this.renderer_views){const i=t.renderer_view(e);if(null!=i)return i}return t}get is_paused(){return null!=this._is_paused&&0!==this._is_paused}get child_models(){return[]}pause(){null==this._is_paused?this._is_paused=1:this._is_paused+=1}unpause(e=!1){if(null==this._is_paused)throw new Error(\"wasn't paused\");this._is_paused-=1,0!=this._is_paused||e||this.request_paint(\"everything\")}notify_finished_after_paint(){this._needs_notify=!0}request_render(){this.request_paint(\"everything\")}request_paint(e){this.invalidate_painters(e),this.schedule_paint()}invalidate_painters(e){if(\"everything\"==e)this._invalidate_all=!0;else if((0,y.isArray)(e))for(const t of e)this._invalidated_painters.add(t);else this._invalidated_painters.add(e)}schedule_paint(){if(!this.is_paused){const e=this.throttled_paint();this._ready=this._ready.then((()=>e))}}request_layout(){this._needs_layout=!0,this.request_paint(\"everything\")}reset(){\"standard\"==this.model.reset_policy&&(this.state.clear(),this.reset_range(),this.reset_selection()),this.model.trigger_event(new c.Reset)}remove(){(0,p.remove_views)(this.renderer_views),(0,p.remove_views)(this.tool_views),this.canvas_view.remove(),super.remove()}render(){super.render(),this.el.appendChild(this.canvas_view.el),this.canvas_view.render()}initialize(){this.pause(),super.initialize(),this.lod_started=!1,this.visuals=new v.Visuals(this),this._initial_state={selection:new Map,dimensions:{width:0,height:0}},this.visibility_callbacks=[],this.renderer_views=new Map,this.tool_views=new Map,this.frame=new o.CartesianFrame(this.model.x_scale,this.model.y_scale,this.model.x_range,this.model.y_range,this.model.extra_x_ranges,this.model.extra_y_ranges,this.model.extra_x_scales,this.model.extra_y_scales),this._range_manager=new R.RangeManager(this),this._state_manager=new V.StateManager(this,this._initial_state),this.throttled_paint=(0,m.throttle)((()=>this.repaint()),1e3/60);const{title_location:e,title:t}=this.model;null!=e&&null!=t&&(this._title=t instanceof h.Title?t:new h.Title({text:t}));const{toolbar_location:i,toolbar:s}=this.model;null!=i&&null!=s&&(this._toolbar=new u.ToolbarPanel({toolbar:s}),s.toolbar_location=i)}async lazy_initialize(){await super.lazy_initialize();const{hidpi:e,output_backend:t}=this.model,i=new l.Canvas({hidpi:e,output_backend:t});this.canvas_view=await(0,p.build_view)(i,{parent:this}),this.canvas_view.plot_views=[this],await this.build_renderer_views(),await this.build_tool_views(),this._range_manager.update_dataranges(),this.unpause(!0),g.logger.debug(\"PlotView initialized\")}_width_policy(){return null==this.model.frame_width?super._width_policy():\"min\"}_height_policy(){return null==this.model.frame_height?super._height_policy():\"min\"}_update_layout(){var e,t,i,s,a;this.layout=new z.BorderLayout,this.layout.set_sizing(this.box_sizing());const n=(0,w.copy)(this.model.above),o=(0,w.copy)(this.model.below),l=(0,w.copy)(this.model.left),r=(0,w.copy)(this.model.right),d=e=>{switch(e){case\"above\":return n;case\"below\":return o;case\"left\":return l;case\"right\":return r}},{title_location:c,title:p}=this.model;null!=c&&null!=p&&d(c).push(this._title);const{toolbar_location:v,toolbar:g}=this.model;if(null!=v&&null!=g){const e=d(v);let t=!0;if(this.model.toolbar_sticky)for(let i=0;i{var i;const s=this.renderer_view(t);return s.panel=new q.Panel(e),null===(i=s.update_layout)||void 0===i||i.call(s),s.layout},m=(e,t)=>{const i=\"above\"==e||\"below\"==e,s=[];for(const a of t)if((0,y.isArray)(a)){const t=a.map((t=>{const s=b(e,t);if(t instanceof u.ToolbarPanel){const e=i?\"width_policy\":\"height_policy\";s.set_sizing(Object.assign(Object.assign({},s.sizing),{[e]:\"min\"}))}return s}));let n;i?(n=new k.Row(t),n.set_sizing({width_policy:\"max\",height_policy:\"min\"})):(n=new k.Column(t),n.set_sizing({width_policy:\"min\",height_policy:\"max\"})),n.absolute=!0,s.push(n)}else s.push(b(e,a));return s},f=null!==(e=this.model.min_border)&&void 0!==e?e:0;this.layout.min_border={left:null!==(t=this.model.min_border_left)&&void 0!==t?t:f,top:null!==(i=this.model.min_border_top)&&void 0!==i?i:f,right:null!==(s=this.model.min_border_right)&&void 0!==s?s:f,bottom:null!==(a=this.model.min_border_bottom)&&void 0!==a?a:f};const M=new x.NodeLayout,R=new x.VStack,V=new x.VStack,S=new x.HStack,O=new x.HStack;M.absolute=!0,R.absolute=!0,V.absolute=!0,S.absolute=!0,O.absolute=!0,M.children=this.model.center.filter((e=>e instanceof _.Annotation)).map((e=>{var t;const i=this.renderer_view(e);return null===(t=i.update_layout)||void 0===t||t.call(i),i.layout})).filter((e=>null!=e));const{frame_width:P,frame_height:j}=this.model;M.set_sizing(Object.assign(Object.assign({},null!=P?{width_policy:\"fixed\",width:P}:{width_policy:\"fit\"}),null!=j?{height_policy:\"fixed\",height:j}:{height_policy:\"fit\"})),M.on_resize((e=>this.frame.set_geometry(e))),R.children=(0,w.reversed)(m(\"above\",n)),V.children=m(\"below\",o),S.children=(0,w.reversed)(m(\"left\",l)),O.children=m(\"right\",r),R.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),V.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),S.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),O.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),this.layout.center_panel=M,this.layout.top_panel=R,this.layout.bottom_panel=V,this.layout.left_panel=S,this.layout.right_panel=O}get axis_views(){const e=[];for(const[,t]of this.renderer_views)t instanceof d.AxisView&&e.push(t);return e}set_toolbar_visibility(e){for(const t of this.visibility_callbacks)t(e)}update_range(e,t){this.pause(),this._range_manager.update(e,t),this.unpause()}reset_range(){this.update_range(null),this.trigger_ranges_update_event()}trigger_ranges_update_event(){const{x_range:e,y_range:t}=this.model;this.model.trigger_event(new b.RangesUpdate(e.start,e.end,t.start,t.end))}get_selection(){const e=new Map;for(const t of this.model.data_renderers){const{selected:i}=t.selection_manager.source;e.set(t,i)}return e}update_selection(e){for(const t of this.model.data_renderers){const i=t.selection_manager.source;if(null!=e){const s=e.get(t);null!=s&&i.selected.update(s,!0)}else i.selection_manager.clear()}}reset_selection(){this.update_selection(null)}_invalidate_layout(){(()=>{var e;for(const t of this.model.side_panels){const i=this.renderer_views.get(t);if(null===(e=i.layout)||void 0===e?void 0:e.has_size_changed())return this.invalidate_painters(i),!0}return!1})()&&this.root.compute_layout()}get_renderer_views(){return this.computed_renderers.map((e=>this.renderer_views.get(e)))}*_compute_renderers(){const{above:e,below:t,left:i,right:s,center:a,renderers:n}=this.model;yield*n,yield*e,yield*t,yield*i,yield*s,yield*a,null!=this._title&&(yield this._title),null!=this._toolbar&&(yield this._toolbar);for(const e of this.model.toolbar.tools)null!=e.overlay&&(yield e.overlay),yield*e.synthetic_renderers}async build_renderer_views(){this.computed_renderers=[...this._compute_renderers()],await(0,p.build_views)(this.renderer_views,this.computed_renderers,{parent:this})}async build_tool_views(){const e=this.model.toolbar.tools;(await(0,p.build_views)(this.tool_views,e,{parent:this})).map((e=>this.canvas_view.ui_event_bus.register_tool(e)))}connect_signals(){super.connect_signals();const{x_ranges:e,y_ranges:t}=this.frame;for(const[,t]of e)this.connect(t.change,(()=>{this._needs_layout=!0,this.request_paint(\"everything\")}));for(const[,e]of t)this.connect(e.change,(()=>{this._needs_layout=!0,this.request_paint(\"everything\")}));const{above:i,below:s,left:a,right:n,center:o,renderers:l}=this.model.properties;this.on_change([i,s,a,n,o,l],(async()=>await this.build_renderer_views())),this.connect(this.model.toolbar.properties.tools.change,(async()=>{await this.build_renderer_views(),await this.build_tool_views()})),this.connect(this.model.change,(()=>this.request_paint(\"everything\"))),this.connect(this.model.reset,(()=>this.reset()))}has_finished(){if(!super.has_finished())return!1;if(this.model.visible)for(const[,e]of this.renderer_views)if(!e.has_finished())return!1;return!0}after_layout(){var e;super.after_layout();for(const[,t]of this.renderer_views)t instanceof _.AnnotationView&&(null===(e=t.after_layout)||void 0===e||e.call(t));if(this._needs_layout=!1,this.model.setv({inner_width:Math.round(this.frame.bbox.width),inner_height:Math.round(this.frame.bbox.height),outer_width:Math.round(this.layout.bbox.width),outer_height:Math.round(this.layout.bbox.height)},{no_change:!0}),!1!==this.model.match_aspect&&(this.pause(),this._range_manager.update_dataranges(),this.unpause(!0)),!this._outer_bbox.equals(this.layout.bbox)){const{width:e,height:t}=this.layout.bbox;this.canvas_view.resize(e,t),this._outer_bbox=this.layout.bbox,this._invalidate_all=!0,this._needs_paint=!0}const{inner_bbox:t}=this.layout;this._inner_bbox.equals(t)||(this._inner_bbox=t,this._needs_paint=!0),this._needs_paint&&this.paint()}repaint(){this._needs_layout&&this._invalidate_layout(),this.paint()}paint(){this.is_paused||(this.model.visible&&(g.logger.trace(`${this.toString()}.paint()`),this._actual_paint()),this._needs_notify&&(this._needs_notify=!1,this.notify_finished()))}_actual_paint(){var e;const{document:t}=this.model;if(null!=t){const e=t.interactive_duration();e>=0&&e{t.interactive_duration()>this.model.lod_timeout&&t.interactive_stop(),this.request_paint(\"everything\")}),this.model.lod_timeout):t.interactive_stop()}this._range_manager.invalidate_dataranges&&(this._range_manager.update_dataranges(),this._invalidate_layout());let i=!1,s=!1;if(this._invalidate_all)i=!0,s=!0;else for(const e of this._invalidated_painters){const{level:t}=e.model;if(\"overlay\"!=t?i=!0:s=!0,i&&s)break}this._invalidated_painters.clear(),this._invalidate_all=!1;const a=[this.frame.bbox.left,this.frame.bbox.top,this.frame.bbox.width,this.frame.bbox.height],{primary:n,overlays:o}=this.canvas_view;i&&(n.prepare(),this.canvas_view.prepare_webgl(a),this._map_hook(n.ctx,a),this._paint_empty(n.ctx,a),this._paint_outline(n.ctx,a),this._paint_levels(n.ctx,\"image\",a,!0),this._paint_levels(n.ctx,\"underlay\",a,!0),this._paint_levels(n.ctx,\"glyph\",a,!0),this._paint_levels(n.ctx,\"guide\",a,!1),this._paint_levels(n.ctx,\"annotation\",a,!1),n.finish()),(s||S.settings.wireframe)&&(o.prepare(),this._paint_levels(o.ctx,\"overlay\",a,!1),S.settings.wireframe&&this._paint_layout(o.ctx,this.layout),o.finish()),null==this._initial_state.range&&(this._initial_state.range=null!==(e=this._range_manager.compute_initial())&&void 0!==e?e:void 0),this._needs_paint=!1}_paint_levels(e,t,i,s){for(const a of this.computed_renderers){if(a.level!=t)continue;const n=this.renderer_views.get(a);e.save(),(s||n.needs_clip)&&(e.beginPath(),e.rect(...i),e.clip()),n.render(),e.restore(),n.has_webgl&&n.needs_webgl_blit&&this.canvas_view.blit_webgl(e)}}_paint_layout(e,t){const{x:i,y:s,width:a,height:n}=t.bbox;e.strokeStyle=\"blue\",e.strokeRect(i,s,a,n);for(const a of t)e.save(),t.absolute||e.translate(i,s),this._paint_layout(e,a),e.restore()}_map_hook(e,t){}_paint_empty(e,t){const[i,s,a,n]=[0,0,this.layout.bbox.width,this.layout.bbox.height],[o,l,r,_]=t;this.visuals.border_fill.doit&&(this.visuals.border_fill.set_value(e),e.fillRect(i,s,a,n),e.clearRect(o,l,r,_)),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(e),e.fillRect(o,l,r,_))}_paint_outline(e,t){if(this.visuals.outline_line.doit){e.save(),this.visuals.outline_line.set_value(e);let[i,s,a,n]=t;i+a==this.layout.bbox.width&&(a-=1),s+n==this.layout.bbox.height&&(n-=1),e.strokeRect(i,s,a,n),e.restore()}}to_blob(){return this.canvas_view.to_blob()}export(e,t=!0){const i=\"png\"==e?\"canvas\":\"svg\",s=new f.CanvasLayer(i,t),{width:a,height:n}=this.layout.bbox;s.resize(a,n);const{canvas:o}=this.canvas_view.compose();return s.ctx.drawImage(o,0,0),s}serializable_state(){const e=super.serializable_state(),{children:t}=e,i=(0,n.__rest)(e,[\"children\"]),s=this.get_renderer_views().map((e=>e.serializable_state())).filter((e=>null!=e.bbox));return Object.assign(Object.assign({},i),{children:[...null!=t?t:[],...s]})}}i.PlotView=O,O.__name__=\"PlotView\"},\n", " function _(t,n,e,o,u){o(),e.throttle=function(t,n){let e=null,o=0,u=!1;return function(){return new Promise(((r,i)=>{const l=function(){o=Date.now(),e=null,u=!1;try{t(),r()}catch(t){i(t)}},a=Date.now(),c=n-(a-o);c<=0&&!u?(null!=e&&clearTimeout(e),u=!0,requestAnimationFrame(l)):e||u?r():e=setTimeout((()=>requestAnimationFrame(l)),c)}))}}},\n", " function _(t,n,e,a,s){a();const o=t(63),r=t(19);class l{constructor(t){this.parent=t,this.invalidate_dataranges=!0}get frame(){return this.parent.frame}update(t,n){const{x_ranges:e,y_ranges:a}=this.frame;if(null==t){for(const[,t]of e)t.reset();for(const[,t]of a)t.reset();this.update_dataranges()}else{const s=[];for(const[n,a]of e)s.push([a,t.xrs.get(n)]);for(const[n,e]of a)s.push([e,t.yrs.get(n)]);(null==n?void 0:n.scrolling)&&this._update_ranges_together(s),this._update_ranges_individually(s,n)}}reset(){this.update(null)}_update_dataranges(t){const n=new Map,e=new Map;let a=!1;for(const[,n]of t.x_ranges)n instanceof o.DataRange1d&&\"log\"==n.scale_hint&&(a=!0);for(const[,n]of t.y_ranges)n instanceof o.DataRange1d&&\"log\"==n.scale_hint&&(a=!0);for(const t of this.parent.model.data_renderers){const s=this.parent.renderer_view(t);if(null==s)continue;const o=s.glyph_view.bounds();if(null!=o&&n.set(t,o),a){const n=s.glyph_view.log_bounds();null!=n&&e.set(t,n)}}let s=!1,l=!1;const i=t.x_target.span,d=t.y_target.span;let u;!1!==this.parent.model.match_aspect&&0!=i&&0!=d&&(u=1/this.parent.model.aspect_scale*(i/d));for(const[,a]of t.x_ranges){if(a instanceof o.DataRange1d){const t=\"log\"==a.scale_hint?e:n;a.update(t,0,this.parent.model,u),a.follow&&(s=!0)}null!=a.bounds&&(l=!0)}for(const[,a]of t.y_ranges){if(a instanceof o.DataRange1d){const t=\"log\"==a.scale_hint?e:n;a.update(t,1,this.parent.model,u),a.follow&&(s=!0)}null!=a.bounds&&(l=!0)}if(s&&l){r.logger.warn(\"Follow enabled so bounds are unset.\");for(const[,n]of t.x_ranges)n.bounds=null;for(const[,n]of t.y_ranges)n.bounds=null}}update_dataranges(){this._update_dataranges(this.frame);for(const t of this.parent.model.renderers){const{coordinates:n}=t;null!=n&&this._update_dataranges(n)}this.invalidate_dataranges=!1}compute_initial(){let t=!0;const{x_ranges:n,y_ranges:e}=this.frame,a=new Map,s=new Map;for(const[e,s]of n){const{start:n,end:o}=s;if(null==n||null==o||isNaN(n+o)){t=!1;break}a.set(e,{start:n,end:o})}if(t)for(const[n,a]of e){const{start:e,end:o}=a;if(null==e||null==o||isNaN(e+o)){t=!1;break}s.set(n,{start:e,end:o})}return t?{xrs:a,yrs:s}:(r.logger.warn(\"could not set initial ranges\"),null)}_update_ranges_together(t){let n=1;for(const[e,a]of t)n=Math.min(n,this._get_weight_to_constrain_interval(e,a));if(n<1)for(const[e,a]of t)a.start=n*a.start+(1-n)*e.start,a.end=n*a.end+(1-n)*e.end}_update_ranges_individually(t,n){const e=!!(null==n?void 0:n.panning),a=!!(null==n?void 0:n.scrolling);let s=!1;for(const[n,o]of t){if(!a){const t=this._get_weight_to_constrain_interval(n,o);t<1&&(o.start=t*o.start+(1-t)*n.start,o.end=t*o.end+(1-t)*n.end)}if(null!=n.bounds&&\"auto\"!=n.bounds){const[t,r]=n.bounds,l=Math.abs(o.end-o.start);n.is_reversed?(null!=t&&t>=o.end&&(s=!0,o.end=t,(e||a)&&(o.start=t+l)),null!=r&&r<=o.start&&(s=!0,o.start=r,(e||a)&&(o.end=r-l))):(null!=t&&t>=o.start&&(s=!0,o.start=t,(e||a)&&(o.end=t+l)),null!=r&&r<=o.end&&(s=!0,o.end=r,(e||a)&&(o.start=r-l)))}}if(!(a&&s&&(null==n?void 0:n.maintain_focus)))for(const[n,e]of t)n.have_updated_interactively=!0,n.start==e.start&&n.end==e.end||n.setv(e)}_get_weight_to_constrain_interval(t,n){const{min_interval:e}=t;let{max_interval:a}=t;if(null!=t.bounds&&\"auto\"!=t.bounds){const[n,e]=t.bounds;if(null!=n&&null!=e){const t=Math.abs(e-n);a=null!=a?Math.min(a,t):t}}let s=1;if(null!=e||null!=a){const o=Math.abs(t.end-t.start),r=Math.abs(n.end-n.start);null!=e&&e>0&&r0&&r>a&&(s=(a-o)/(r-o)),s=Math.max(0,Math.min(1,s))}return s}}e.RangeManager=l,l.__name__=\"RangeManager\"},\n", " function _(t,i,s,e,n){e();const h=t(15);class a{constructor(t,i){this.parent=t,this.initial_state=i,this.changed=new h.Signal0(this.parent,\"state_changed\"),this.history=[],this.index=-1}_do_state_change(t){const i=null!=this.history[t]?this.history[t].state:this.initial_state;return null!=i.range&&this.parent.update_range(i.range),null!=i.selection&&this.parent.update_selection(i.selection),i}push(t,i){const{history:s,index:e}=this,n=null!=s[e]?s[e].state:{},h=Object.assign(Object.assign(Object.assign({},this.initial_state),n),i);this.history=this.history.slice(0,this.index+1),this.history.push({type:t,state:h}),this.index=this.history.length-1,this.changed.emit()}clear(){this.history=[],this.index=-1,this.changed.emit()}undo(){if(this.can_undo){this.index-=1;const t=this._do_state_change(this.index);return this.changed.emit(),t}return null}redo(){if(this.can_redo){this.index+=1;const t=this._do_state_change(this.index);return this.changed.emit(),t}return null}get can_undo(){return this.index>=0}get can_redo(){return this.indexm.emit();const s=encodeURIComponent,o=document.createElement(\"script\");o.type=\"text/javascript\",o.src=`https://maps.googleapis.com/maps/api/js?v=${s(e)}&key=${s(t)}&callback=_bokeh_gmaps_callback`,document.body.appendChild(o)}(t,e)}m.connect((()=>this.request_paint(\"everything\")))}this.unpause()}remove(){(0,p.remove)(this.map_el),super.remove()}update_range(t,e){var s,o;if(null==t)this.map.setCenter({lat:this.initial_lat,lng:this.initial_lng}),this.map.setOptions({zoom:this.initial_zoom}),super.update_range(null,e);else if(null!=t.sdx||null!=t.sdy)this.map.panBy(null!==(s=t.sdx)&&void 0!==s?s:0,null!==(o=t.sdy)&&void 0!==o?o:0),super.update_range(t,e);else if(null!=t.factor){if(10!==this.zoom_count)return void(this.zoom_count+=1);this.zoom_count=0,this.pause(),super.update_range(t,e);const s=t.factor<0?-1:1,o=this.map.getZoom();if(null!=o){const t=o+s;if(t>=2){this.map.setZoom(t);const[e,s]=this._get_projected_bounds();s-e<0&&this.map.setZoom(o)}}this.unpause()}this._set_bokeh_ranges()}_build_map(){const{maps:t}=google;this.map_types={satellite:t.MapTypeId.SATELLITE,terrain:t.MapTypeId.TERRAIN,roadmap:t.MapTypeId.ROADMAP,hybrid:t.MapTypeId.HYBRID};const e=this.model.map_options,s={center:new t.LatLng(e.lat,e.lng),zoom:e.zoom,disableDefaultUI:!0,mapTypeId:this.map_types[e.map_type],scaleControl:e.scale_control,tilt:e.tilt};null!=e.styles&&(s.styles=JSON.parse(e.styles)),this.map_el=(0,p.div)({style:{position:\"absolute\"}}),this.canvas_view.add_underlay(this.map_el),this.map=new t.Map(this.map_el,s),t.event.addListener(this.map,\"idle\",(()=>this._set_bokeh_ranges())),t.event.addListener(this.map,\"bounds_changed\",(()=>this._set_bokeh_ranges())),t.event.addListenerOnce(this.map,\"tilesloaded\",(()=>this._render_finished())),this.connect(this.model.properties.map_options.change,(()=>this._update_options())),this.connect(this.model.map_options.properties.styles.change,(()=>this._update_styles())),this.connect(this.model.map_options.properties.lat.change,(()=>this._update_center(\"lat\"))),this.connect(this.model.map_options.properties.lng.change,(()=>this._update_center(\"lng\"))),this.connect(this.model.map_options.properties.zoom.change,(()=>this._update_zoom())),this.connect(this.model.map_options.properties.map_type.change,(()=>this._update_map_type())),this.connect(this.model.map_options.properties.scale_control.change,(()=>this._update_scale_control())),this.connect(this.model.map_options.properties.tilt.change,(()=>this._update_tilt()))}_render_finished(){this._tiles_loaded=!0,this.notify_finished()}has_finished(){return super.has_finished()&&!0===this._tiles_loaded}_get_latlon_bounds(){const t=this.map.getBounds(),e=t.getNorthEast(),s=t.getSouthWest();return[s.lng(),e.lng(),s.lat(),e.lat()]}_get_projected_bounds(){const[t,e,s,o]=this._get_latlon_bounds(),[i,a]=l.wgs84_mercator.compute(t,s),[n,p]=l.wgs84_mercator.compute(e,o);return[i,n,a,p]}_set_bokeh_ranges(){const[t,e,s,o]=this._get_projected_bounds();this.frame.x_range.setv({start:t,end:e}),this.frame.y_range.setv({start:s,end:o})}_update_center(t){var e;const s=null===(e=this.map.getCenter())||void 0===e?void 0:e.toJSON();null!=s&&(s[t]=this.model.map_options[t],this.map.setCenter(s),this._set_bokeh_ranges())}_update_map_type(){this.map.setOptions({mapTypeId:this.map_types[this.model.map_options.map_type]})}_update_scale_control(){this.map.setOptions({scaleControl:this.model.map_options.scale_control})}_update_tilt(){this.map.setOptions({tilt:this.model.map_options.tilt})}_update_options(){this._update_styles(),this._update_center(\"lat\"),this._update_center(\"lng\"),this._update_zoom(),this._update_map_type()}_update_styles(){this.map.setOptions({styles:JSON.parse(this.model.map_options.styles)})}_update_zoom(){this.map.setOptions({zoom:this.model.map_options.zoom}),this._set_bokeh_ranges()}_map_hook(t,e){if(null==this.map&&\"undefined\"!=typeof google&&null!=google.maps&&this._build_map(),null!=this.map_el){const[t,s,o,i]=e;this.map_el.style.top=`${s}px`,this.map_el.style.left=`${t}px`,this.map_el.style.width=`${o}px`,this.map_el.style.height=`${i}px`}}_paint_empty(t,e){const s=this.layout.bbox.width,o=this.layout.bbox.height,[i,a,n,p]=e;t.clearRect(0,0,s,o),t.beginPath(),t.moveTo(0,0),t.lineTo(0,o),t.lineTo(s,o),t.lineTo(s,0),t.lineTo(0,0),t.moveTo(i,a),t.lineTo(i+n,a),t.lineTo(i+n,a+p),t.lineTo(i,a+p),t.lineTo(i,a),t.closePath(),null!=this.model.border_fill_color&&(t.fillStyle=(0,_.color2css)(this.model.border_fill_color),t.fill())}}s.GMapPlotView=d,d.__name__=\"GMapPlotView\"},\n", " function _(t,_,n,o,r){o();(0,t(1).__exportStar)(t(132),n)},\n", " function _(e,r,d,n,R){n(),R(\"GlyphRenderer\",e(175).GlyphRenderer),R(\"GraphRenderer\",e(339).GraphRenderer),R(\"GuideRenderer\",e(129).GuideRenderer);var G=e(41);R(\"Renderer\",G.Renderer),R(\"RendererGroup\",G.RendererGroup)},\n", " function _(e,r,i,n,t){var d;n();const o=e(176),s=e(175),a=e(303),l=e(302),p=e(113),_=e(178),h=e(283),y=e(286);class c extends o.DataRendererView{get glyph_view(){return this.node_view.glyph}async lazy_initialize(){await super.lazy_initialize(),this.apply_coordinates();const{parent:e}=this,{edge_renderer:r,node_renderer:i}=this.model;this.edge_view=await(0,p.build_view)(r,{parent:e}),this.node_view=await(0,p.build_view)(i,{parent:e})}connect_signals(){super.connect_signals(),this.connect(this.model.layout_provider.change,(()=>{this.apply_coordinates(),this.edge_view.set_data(),this.node_view.set_data(),this.request_render()}))}apply_coordinates(){const{edge_renderer:e,node_renderer:r}=this.model;if(!(e.glyph instanceof h.MultiLine||e.glyph instanceof y.Patches))throw new Error(`${this}.edge_renderer.glyph must be a MultiLine glyph`);if(!(r.glyph instanceof _.XYGlyph))throw new Error(`${this}.node_renderer.glyph must be a XYGlyph glyph`);const i=this.model.layout_provider.edge_coordinates,n=this.model.layout_provider.node_coordinates;e.glyph.properties.xs.internal=!0,e.glyph.properties.ys.internal=!0,r.glyph.properties.x.internal=!0,r.glyph.properties.y.internal=!0,e.glyph.xs={expr:i.x},e.glyph.ys={expr:i.y},r.glyph.x={expr:n.x},r.glyph.y={expr:n.y},this.model.edge_renderer=e,this.model.node_renderer=r}remove(){this.edge_view.remove(),this.node_view.remove(),super.remove()}_render(){this.edge_view.render(),this.node_view.render()}renderer_view(e){if(e instanceof s.GlyphRenderer){if(e==this.edge_view.model)return this.edge_view;if(e==this.node_view.model)return this.node_view}return super.renderer_view(e)}}i.GraphRendererView=c,c.__name__=\"GraphRendererView\";class g extends o.DataRenderer{constructor(e){super(e)}get_selection_manager(){return this.node_renderer.data_source.selection_manager}}i.GraphRenderer=g,d=g,g.__name__=\"GraphRenderer\",d.prototype.default_view=c,d.define((({Ref:e})=>({layout_provider:[e(a.LayoutProvider)],node_renderer:[e(s.GlyphRenderer)],edge_renderer:[e(s.GlyphRenderer)],selection_policy:[e(l.GraphHitTestPolicy),()=>new l.NodesOnly],inspection_policy:[e(l.GraphHitTestPolicy),()=>new l.NodesOnly]})))},\n", " function _(e,t,n,o,c){o();(0,e(1).__exportStar)(e(74),n),c(\"Selection\",e(72).Selection)},\n", " function _(a,e,S,o,r){o(),r(\"ServerSentDataSource\",a(342).ServerSentDataSource),r(\"AjaxDataSource\",a(344).AjaxDataSource),r(\"ColumnDataSource\",a(75).ColumnDataSource),r(\"ColumnarDataSource\",a(70).ColumnarDataSource),r(\"CDSView\",a(190).CDSView),r(\"DataSource\",a(71).DataSource),r(\"GeoJSONDataSource\",a(345).GeoJSONDataSource),r(\"WebDataSource\",a(343).WebDataSource)},\n", " function _(e,t,i,a,s){a();const n=e(343);class r extends n.WebDataSource{constructor(e){super(e),this.initialized=!1}setup(){if(!this.initialized){this.initialized=!0;new EventSource(this.data_url).onmessage=e=>{var t;this.load_data(JSON.parse(e.data),this.mode,null!==(t=this.max_size)&&void 0!==t?t:void 0)}}}}i.ServerSentDataSource=r,r.__name__=\"ServerSentDataSource\"},\n", " function _(e,t,a,n,r){var s;n();const l=e(75),o=e(20);class c extends l.ColumnDataSource{constructor(e){super(e)}get_column(e){const t=this.data[e];return null!=t?t:[]}get_length(){var e;return null!==(e=super.get_length())&&void 0!==e?e:0}initialize(){super.initialize(),this.setup()}load_data(e,t,a){const{adapter:n}=this;let r;switch(r=null!=n?n.execute(this,{response:e}):e,t){case\"replace\":this.data=r;break;case\"append\":{const e=this.data;for(const t of this.columns()){const n=Array.from(e[t]),s=Array.from(r[t]),l=n.concat(s);r[t]=null!=a?l.slice(-a):l}this.data=r;break}}}}a.WebDataSource=c,s=c,c.__name__=\"WebDataSource\",s.define((({Any:e,Int:t,String:a,Nullable:n})=>({max_size:[n(t),null],mode:[o.UpdateMode,\"replace\"],adapter:[n(e),null],data_url:[a]})))},\n", " function _(t,e,i,s,a){var n;s();const r=t(343),o=t(20),l=t(19),d=t(13);class h extends r.WebDataSource{constructor(t){super(t),this.interval=null,this.initialized=!1}destroy(){null!=this.interval&&clearInterval(this.interval),super.destroy()}setup(){if(!this.initialized&&(this.initialized=!0,this.get_data(this.mode),null!=this.polling_interval)){const t=()=>this.get_data(this.mode,this.max_size,this.if_modified);this.interval=setInterval(t,this.polling_interval)}}get_data(t,e=null,i=!1){const s=this.prepare_request();s.addEventListener(\"load\",(()=>this.do_load(s,t,null!=e?e:void 0))),s.addEventListener(\"error\",(()=>this.do_error(s))),s.send()}prepare_request(){const t=new XMLHttpRequest;t.open(this.method,this.data_url,!0),t.withCredentials=!1,t.setRequestHeader(\"Content-Type\",this.content_type);const e=this.http_headers;for(const[i,s]of(0,d.entries)(e))t.setRequestHeader(i,s);return t}do_load(t,e,i){if(200===t.status){const s=JSON.parse(t.responseText);this.load_data(s,e,i)}}do_error(t){l.logger.error(`Failed to fetch JSON from ${this.data_url} with code ${t.status}`)}}i.AjaxDataSource=h,n=h,h.__name__=\"AjaxDataSource\",n.define((({Boolean:t,Int:e,String:i,Dict:s,Nullable:a})=>({polling_interval:[a(e),null],content_type:[i,\"application/json\"],http_headers:[s(i),{}],method:[o.HTTPMethod,\"POST\"],if_modified:[t,!1]})))},\n", " function _(e,t,o,r,n){var s;r();const a=e(70),i=e(19),l=e(9),c=e(13);function _(e){return null!=e?e:NaN}const{hasOwnProperty:g}=Object.prototype;class u extends a.ColumnarDataSource{constructor(e){super(e)}initialize(){super.initialize(),this._update_data()}connect_signals(){super.connect_signals(),this.connect(this.properties.geojson.change,(()=>this._update_data()))}_update_data(){this.data=this.geojson_to_column_data()}_get_new_list_array(e){return(0,l.range)(0,e).map((e=>[]))}_get_new_nan_array(e){return(0,l.range)(0,e).map((e=>NaN))}_add_properties(e,t,o,r){var n;const s=null!==(n=e.properties)&&void 0!==n?n:{};for(const[e,n]of(0,c.entries)(s))g.call(t,e)||(t[e]=this._get_new_nan_array(r)),t[e][o]=_(n)}_add_geometry(e,t,o){function r(e,t){return e.concat([[NaN,NaN,NaN]]).concat(t)}switch(e.type){case\"Point\":{const[r,n,s]=e.coordinates;t.x[o]=r,t.y[o]=n,t.z[o]=_(s);break}case\"LineString\":{const{coordinates:r}=e;for(let e=0;e1&&i.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\");const r=e.coordinates[0];for(let e=0;e1&&i.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\"),n.push(t[0]);const s=n.reduce(r);for(let e=0;e({geojson:[e]}))),s.internal((({Dict:e,Arrayable:t})=>({data:[e(t),{}]})))},\n", " function _(e,r,T,o,S){o(),S(\"BBoxTileSource\",e(347).BBoxTileSource),S(\"MercatorTileSource\",e(348).MercatorTileSource),S(\"QUADKEYTileSource\",e(351).QUADKEYTileSource),S(\"TileRenderer\",e(352).TileRenderer),S(\"TileSource\",e(349).TileSource),S(\"TMSTileSource\",e(355).TMSTileSource),S(\"WMTSTileSource\",e(353).WMTSTileSource)},\n", " function _(e,t,r,o,l){var i;o();const n=e(348);class s extends n.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars);let l,i,n,s;return this.use_latlon?[i,s,l,n]=this.get_tile_geographic_bounds(e,t,r):[i,s,l,n]=this.get_tile_meter_bounds(e,t,r),o.replace(\"{XMIN}\",i.toString()).replace(\"{YMIN}\",s.toString()).replace(\"{XMAX}\",l.toString()).replace(\"{YMAX}\",n.toString())}}r.BBoxTileSource=s,i=s,s.__name__=\"BBoxTileSource\",i.define((({Boolean:e})=>({use_latlon:[e,!1]})))},\n", " function _(t,e,i,_,s){var r;_();const o=t(349),n=t(9),l=t(350);class u extends o.TileSource{constructor(t){super(t)}initialize(){super.initialize(),this._resolutions=(0,n.range)(this.min_zoom,this.max_zoom+1).map((t=>this.get_resolution(t)))}_computed_initial_resolution(){return null!=this.initial_resolution?this.initial_resolution:2*Math.PI*6378137/this.tile_size}is_valid_tile(t,e,i){return!(!this.wrap_around&&(t<0||t>=2**i))&&!(e<0||e>=2**i)}parent_by_tile_xyz(t,e,i){const _=this.tile_xyz_to_quadkey(t,e,i),s=_.substring(0,_.length-1);return this.quadkey_to_tile_xyz(s)}get_resolution(t){return this._computed_initial_resolution()/2**t}get_resolution_by_extent(t,e,i){return[(t[2]-t[0])/i,(t[3]-t[1])/e]}get_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s);let o=0;for(const t of this._resolutions){if(r>t){if(0==o)return 0;if(o>0)return o-1}o+=1}return o-1}get_closest_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s),o=this._resolutions.reduce((function(t,e){return Math.abs(e-r)e?(u=o-s,a*=t):(u*=e,a=n-r)}const h=(u-(o-s))/2,c=(a-(n-r))/2;return[s-h,r-c,o+h,n+c]}tms_to_wmts(t,e,i){return[t,2**i-1-e,i]}wmts_to_tms(t,e,i){return[t,2**i-1-e,i]}pixels_to_meters(t,e,i){const _=this.get_resolution(i);return[t*_-this.x_origin_offset,e*_-this.y_origin_offset]}meters_to_pixels(t,e,i){const _=this.get_resolution(i);return[(t+this.x_origin_offset)/_,(e+this.y_origin_offset)/_]}pixels_to_tile(t,e){let i=Math.ceil(t/this.tile_size);i=0===i?i:i-1;return[i,Math.max(Math.ceil(e/this.tile_size)-1,0)]}pixels_to_raster(t,e,i){return[t,(this.tile_size<=l;t--)for(let i=n;i<=u;i++)this.is_valid_tile(i,t,e)&&h.push([i,t,e,this.get_tile_meter_bounds(i,t,e)]);return this.sort_tiles_from_center(h,[n,l,u,a]),h}quadkey_to_tile_xyz(t){let e=0,i=0;const _=t.length;for(let s=_;s>0;s--){const r=1<0;s--){const i=1<0;)if(s=s.substring(0,s.length-1),[t,e,i]=this.quadkey_to_tile_xyz(s),[t,e,i]=this.denormalize_xyz(t,e,i,_),this.tiles.has(this.tile_xyz_to_key(t,e,i)))return[t,e,i];return[0,0,0]}normalize_xyz(t,e,i){if(this.wrap_around){const _=2**i;return[(t%_+_)%_,e,i]}return[t,e,i]}denormalize_xyz(t,e,i,_){return[t+_*2**i,e,i]}denormalize_meters(t,e,i,_){return[t+2*_*Math.PI*6378137,e]}calculate_world_x_by_tile_xyz(t,e,i){return Math.floor(t/2**i)}}i.MercatorTileSource=u,r=u,u.__name__=\"MercatorTileSource\",r.define((({Boolean:t})=>({snap_to_zoom:[t,!1],wrap_around:[t,!0]}))),r.override({x_origin_offset:20037508.34,y_origin_offset:20037508.34,initial_resolution:156543.03392804097})},\n", " function _(e,t,r,i,n){var l;i();const a=e(53),s=e(13);class c extends a.Model{constructor(e){super(e)}initialize(){super.initialize(),this.tiles=new Map,this._normalize_case()}connect_signals(){super.connect_signals(),this.connect(this.change,(()=>this._clear_cache()))}string_lookup_replace(e,t){let r=e;for(const[e,i]of(0,s.entries)(t))r=r.replace(`{${e}}`,i);return r}_normalize_case(){const e=this.url.replace(\"{x}\",\"{X}\").replace(\"{y}\",\"{Y}\").replace(\"{z}\",\"{Z}\").replace(\"{q}\",\"{Q}\").replace(\"{xmin}\",\"{XMIN}\").replace(\"{ymin}\",\"{YMIN}\").replace(\"{xmax}\",\"{XMAX}\").replace(\"{ymax}\",\"{YMAX}\");this.url=e}_clear_cache(){this.tiles=new Map}tile_xyz_to_key(e,t,r){return`${e}:${t}:${r}`}key_to_tile_xyz(e){const[t,r,i]=e.split(\":\").map((e=>parseInt(e)));return[t,r,i]}sort_tiles_from_center(e,t){const[r,i,n,l]=t,a=(n-r)/2+r,s=(l-i)/2+i;e.sort((function(e,t){return Math.sqrt((a-e[0])**2+(s-e[1])**2)-Math.sqrt((a-t[0])**2+(s-t[1])**2)}))}get_image_url(e,t,r){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",t.toString()).replace(\"{Z}\",r.toString())}}r.TileSource=c,l=c,c.__name__=\"TileSource\",l.define((({Number:e,String:t,Dict:r,Nullable:i})=>({url:[t,\"\"],tile_size:[e,256],max_zoom:[e,30],min_zoom:[e,0],extra_url_vars:[r(t),{}],attribution:[t,\"\"],x_origin_offset:[e],y_origin_offset:[e],initial_resolution:[i(e),null]})))},\n", " function _(t,e,r,n,o){n();const c=t(78);function _(t,e){return c.wgs84_mercator.compute(t,e)}function g(t,e){return c.wgs84_mercator.invert(t,e)}r.geographic_to_meters=_,r.meters_to_geographic=g,r.geographic_extent_to_meters=function(t){const[e,r,n,o]=t,[c,g]=_(e,r),[i,u]=_(n,o);return[c,g,i,u]},r.meters_extent_to_geographic=function(t){const[e,r,n,o]=t,[c,_]=g(e,r),[i,u]=g(n,o);return[c,_,i,u]}},\n", " function _(e,t,r,s,_){s();const o=e(348);class c extends o.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const s=this.string_lookup_replace(this.url,this.extra_url_vars),[_,o,c]=this.tms_to_wmts(e,t,r),i=this.tile_xyz_to_quadkey(_,o,c);return s.replace(\"{Q}\",i)}}r.QUADKEYTileSource=c,c.__name__=\"QUADKEYTileSource\"},\n", " function _(t,e,i,s,_){s();const n=t(1);var a;const o=t(349),r=t(353),h=t(41),l=t(58),d=t(43),m=t(136),c=t(9),u=t(8),p=(0,n.__importStar)(t(354));class g extends h.RendererView{initialize(){this._tiles=[],super.initialize()}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render())),this.connect(this.model.tile_source.change,(()=>this.request_render()))}remove(){null!=this.attribution_el&&(0,d.removeElement)(this.attribution_el),super.remove()}styles(){return[...super.styles(),p.default]}get_extent(){return[this.x_range.start,this.y_range.start,this.x_range.end,this.y_range.end]}get map_plot(){return this.plot_model}get map_canvas(){return this.layer.ctx}get map_frame(){return this.plot_view.frame}get x_range(){return this.map_plot.x_range}get y_range(){return this.map_plot.y_range}_set_data(){this.extent=this.get_extent(),this._last_height=void 0,this._last_width=void 0}_update_attribution(){null!=this.attribution_el&&(0,d.removeElement)(this.attribution_el);const{attribution:t}=this.model.tile_source;if((0,u.isString)(t)&&t.length>0){const{layout:e,frame:i}=this.plot_view,s=e.bbox.width-i.bbox.right,_=e.bbox.height-i.bbox.bottom,n=i.bbox.width;this.attribution_el=(0,d.div)({class:p.tile_attribution,style:{position:\"absolute\",right:`${s}px`,bottom:`${_}px`,\"max-width\":n-4+\"px\",padding:\"2px\",\"background-color\":\"rgba(255,255,255,0.5)\",\"font-size\":\"9px\",\"line-height\":\"1.05\",\"white-space\":\"nowrap\",overflow:\"hidden\",\"text-overflow\":\"ellipsis\"}}),this.plot_view.canvas_view.add_event(this.attribution_el),this.attribution_el.innerHTML=t,this.attribution_el.title=this.attribution_el.textContent.replace(/\\s*\\n\\s*/g,\" \")}}_map_data(){this.initial_extent=this.get_extent();const t=this.model.tile_source.get_level_by_extent(this.initial_extent,this.map_frame.bbox.height,this.map_frame.bbox.width),e=this.model.tile_source.snap_to_zoom_level(this.initial_extent,this.map_frame.bbox.height,this.map_frame.bbox.width,t);this.x_range.start=e[0],this.y_range.start=e[1],this.x_range.end=e[2],this.y_range.end=e[3],this.x_range instanceof l.Range1d&&(this.x_range.reset_start=e[0],this.x_range.reset_end=e[2]),this.y_range instanceof l.Range1d&&(this.y_range.reset_start=e[1],this.y_range.reset_end=e[3]),this._update_attribution()}_create_tile(t,e,i,s,_=!1){const n=this.model.tile_source.tile_xyz_to_quadkey(t,e,i),a=this.model.tile_source.tile_xyz_to_key(t,e,i);if(this.model.tile_source.tiles.has(a))return;const[o,r,h]=this.model.tile_source.normalize_xyz(t,e,i),l=this.model.tile_source.get_image_url(o,r,h),d={img:void 0,tile_coords:[t,e,i],normalized_coords:[o,r,h],quadkey:n,cache_key:a,bounds:s,loaded:!1,finished:!1,x_coord:s[0],y_coord:s[3]};this.model.tile_source.tiles.set(a,d),this._tiles.push(d),new m.ImageLoader(l,{loaded:t=>{Object.assign(d,{img:t,loaded:!0}),_?(d.finished=!0,this.notify_finished()):this.request_render()},failed(){d.finished=!0}})}_enforce_aspect_ratio(){if(this._last_height!==this.map_frame.bbox.height||this._last_width!==this.map_frame.bbox.width){const t=this.get_extent(),e=this.model.tile_source.get_level_by_extent(t,this.map_frame.bbox.height,this.map_frame.bbox.width),i=this.model.tile_source.snap_to_zoom_level(t,this.map_frame.bbox.height,this.map_frame.bbox.width,e);this.x_range.setv({start:i[0],end:i[2]}),this.y_range.setv({start:i[1],end:i[3]}),this.extent=i,this._last_height=this.map_frame.bbox.height,this._last_width=this.map_frame.bbox.width}}has_finished(){if(!super.has_finished())return!1;if(0==this._tiles.length)return!1;for(const t of this._tiles)if(!t.finished)return!1;return!0}_render(){null==this.map_initialized&&(this._set_data(),this._map_data(),this.map_initialized=!0),this._enforce_aspect_ratio(),this._update(),null!=this.prefetch_timer&&clearTimeout(this.prefetch_timer),this.prefetch_timer=setTimeout(this._prefetch_tiles.bind(this),500),this.has_finished()&&this.notify_finished()}_draw_tile(t){const e=this.model.tile_source.tiles.get(t);if(null!=e&&e.loaded){const[[t],[i]]=this.coordinates.map_to_screen([e.bounds[0]],[e.bounds[3]]),[[s],[_]]=this.coordinates.map_to_screen([e.bounds[2]],[e.bounds[1]]),n=s-t,a=_-i,o=t,r=i,h=this.map_canvas.getImageSmoothingEnabled();this.map_canvas.setImageSmoothingEnabled(this.model.smoothing),this.map_canvas.drawImage(e.img,o,r,n,a),this.map_canvas.setImageSmoothingEnabled(h),e.finished=!0}}_set_rect(){const t=this.plot_model.outline_line_width,e=this.map_frame.bbox.left+t/2,i=this.map_frame.bbox.top+t/2,s=this.map_frame.bbox.width-t,_=this.map_frame.bbox.height-t;this.map_canvas.rect(e,i,s,_),this.map_canvas.clip()}_render_tiles(t){this.map_canvas.save(),this._set_rect(),this.map_canvas.globalAlpha=this.model.alpha;for(const e of t)this._draw_tile(e);this.map_canvas.restore()}_prefetch_tiles(){const{tile_source:t}=this.model,e=this.get_extent(),i=this.map_frame.bbox.height,s=this.map_frame.bbox.width,_=this.model.tile_source.get_level_by_extent(e,i,s),n=this.model.tile_source.get_tiles_by_extent(e,_);for(let e=0,i=Math.min(10,n.length);ei&&(s=this.extent,o=i,r=!0),r&&(this.x_range.setv({start:s[0],end:s[2]}),this.y_range.setv({start:s[1],end:s[3]})),this.extent=s;const h=t.get_tiles_by_extent(s,o),l=[],d=[],m=[],u=[];for(const e of h){const[i,s,n]=e,a=t.tile_xyz_to_key(i,s,n),o=t.tiles.get(a);if(null!=o&&o.loaded)d.push(a);else if(this.model.render_parents){const[e,a,o]=t.get_closest_parent_by_tile_xyz(i,s,n),r=t.tile_xyz_to_key(e,a,o),h=t.tiles.get(r);if(null!=h&&h.loaded&&!(0,c.includes)(m,r)&&m.push(r),_){const e=t.children_by_tile_xyz(i,s,n);for(const[i,s,_]of e){const e=t.tile_xyz_to_key(i,s,_);t.tiles.has(e)&&u.push(e)}}}null==o&&l.push(e)}this._render_tiles(m),this._render_tiles(u),this._render_tiles(d),null!=this.render_timer&&clearTimeout(this.render_timer),this.render_timer=setTimeout((()=>this._fetch_tiles(l)),65)}}i.TileRendererView=g,g.__name__=\"TileRendererView\";class b extends h.Renderer{constructor(t){super(t)}}i.TileRenderer=b,a=b,b.__name__=\"TileRenderer\",a.prototype.default_view=g,a.define((({Boolean:t,Number:e,Ref:i})=>({alpha:[e,1],smoothing:[t,!0],tile_source:[i(o.TileSource),()=>new r.WMTSTileSource],render_parents:[t,!0]}))),a.override({level:\"image\"})},\n", " function _(t,e,r,o,s){o();const c=t(348);class i extends c.MercatorTileSource{constructor(t){super(t)}get_image_url(t,e,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars),[s,c,i]=this.tms_to_wmts(t,e,r);return o.replace(\"{X}\",s.toString()).replace(\"{Y}\",c.toString()).replace(\"{Z}\",i.toString())}}r.WMTSTileSource=i,i.__name__=\"WMTSTileSource\"},\n", " function _(t,o,i,b,r){b(),i.root=\"bk-root\",i.tile_attribution=\"bk-tile-attribution\",i.default=\".bk-root .bk-tile-attribution a{color:black;}\"},\n", " function _(e,r,t,c,o){c();const i=e(348);class l extends i.MercatorTileSource{constructor(e){super(e)}get_image_url(e,r,t){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",r.toString()).replace(\"{Z}\",t.toString())}}t.TMSTileSource=l,l.__name__=\"TMSTileSource\"},\n", " function _(e,t,u,a,r){a(),r(\"CanvasTexture\",e(357).CanvasTexture),r(\"ImageURLTexture\",e(359).ImageURLTexture),r(\"Texture\",e(358).Texture)},\n", " function _(t,e,n,c,s){var r;c();const o=t(358),a=t(34);class u extends o.Texture{constructor(t){super(t)}get func(){const t=(0,a.use_strict)(this.code);return new Function(\"ctx\",\"color\",\"scale\",\"weight\",t)}get_pattern(t,e,n){const c=document.createElement(\"canvas\");c.width=e,c.height=e;const s=c.getContext(\"2d\");return this.func.call(this,s,t,e,n),c}}n.CanvasTexture=u,r=u,u.__name__=\"CanvasTexture\",r.define((({String:t})=>({code:[t]})))},\n", " function _(e,t,n,r,o){var i;r();const s=e(53),u=e(20);class c extends s.Model{constructor(e){super(e)}}n.Texture=c,i=c,c.__name__=\"Texture\",i.define((()=>({repetition:[u.TextureRepetition,\"repeat\"]})))},\n", " function _(e,t,i,r,n){var a;r();const s=e(358),o=e(136);class u extends s.Texture{constructor(e){super(e)}initialize(){super.initialize(),this._loader=new o.ImageLoader(this.url)}get_pattern(e,t,i){const{_loader:r}=this;return this._loader.finished?r.image:r.promise}}i.ImageURLTexture=u,a=u,u.__name__=\"ImageURLTexture\",a.define((({String:e})=>({url:[e]})))},\n", " function _(o,l,T,e,t){e(),t(\"ActionTool\",o(238).ActionTool),t(\"CustomAction\",o(361).CustomAction),t(\"HelpTool\",o(239).HelpTool),t(\"RedoTool\",o(362).RedoTool),t(\"ResetTool\",o(363).ResetTool),t(\"SaveTool\",o(364).SaveTool),t(\"UndoTool\",o(365).UndoTool),t(\"ZoomInTool\",o(366).ZoomInTool),t(\"ZoomOutTool\",o(369).ZoomOutTool),t(\"ButtonTool\",o(224).ButtonTool),t(\"EditTool\",o(370).EditTool),t(\"BoxEditTool\",o(371).BoxEditTool),t(\"FreehandDrawTool\",o(372).FreehandDrawTool),t(\"PointDrawTool\",o(373).PointDrawTool),t(\"PolyDrawTool\",o(374).PolyDrawTool),t(\"PolyTool\",o(375).PolyTool),t(\"PolyEditTool\",o(376).PolyEditTool),t(\"BoxSelectTool\",o(377).BoxSelectTool),t(\"BoxZoomTool\",o(379).BoxZoomTool),t(\"GestureTool\",o(223).GestureTool),t(\"LassoSelectTool\",o(380).LassoSelectTool),t(\"LineEditTool\",o(382).LineEditTool),t(\"PanTool\",o(384).PanTool),t(\"PolySelectTool\",o(381).PolySelectTool),t(\"RangeTool\",o(385).RangeTool),t(\"SelectTool\",o(378).SelectTool),t(\"TapTool\",o(386).TapTool),t(\"WheelPanTool\",o(387).WheelPanTool),t(\"WheelZoomTool\",o(388).WheelZoomTool),t(\"CrosshairTool\",o(389).CrosshairTool),t(\"CustomJSHover\",o(390).CustomJSHover),t(\"HoverTool\",o(391).HoverTool),t(\"InspectTool\",o(232).InspectTool),t(\"Tool\",o(222).Tool),t(\"ToolProxy\",o(394).ToolProxy),t(\"Toolbar\",o(221).Toolbar),t(\"ToolbarBase\",o(233).ToolbarBase),t(\"ProxyToolbar\",o(395).ProxyToolbar),t(\"ToolbarBox\",o(395).ToolbarBox)},\n", " function _(t,o,e,s,n){var c;s();const i=t(238);class u extends i.ActionToolButtonView{css_classes(){return super.css_classes().concat(\"bk-toolbar-button-custom-action\")}}e.CustomActionButtonView=u,u.__name__=\"CustomActionButtonView\";class l extends i.ActionToolView{doit(){var t;null===(t=this.model.callback)||void 0===t||t.execute(this.model)}}e.CustomActionView=l,l.__name__=\"CustomActionView\";class a extends i.ActionTool{constructor(t){super(t),this.tool_name=\"Custom Action\",this.button_view=u}}e.CustomAction=a,c=a,a.__name__=\"CustomAction\",c.prototype.default_view=l,c.define((({Any:t,String:o,Nullable:e})=>({callback:[e(t)],icon:[o]}))),c.override({description:\"Perform a Custom Action\"})},\n", " function _(e,o,t,i,s){var n;i();const l=e(238),_=e(228);class d extends l.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state.changed,(()=>this.model.disabled=!this.plot_view.state.can_redo))}doit(){const e=this.plot_view.state.redo();null!=(null==e?void 0:e.range)&&this.plot_view.trigger_ranges_update_event()}}t.RedoToolView=d,d.__name__=\"RedoToolView\";class a extends l.ActionTool{constructor(e){super(e),this.tool_name=\"Redo\",this.icon=_.tool_icon_redo}}t.RedoTool=a,n=a,a.__name__=\"RedoTool\",n.prototype.default_view=d,n.override({disabled:!0}),n.register_alias(\"redo\",(()=>new a))},\n", " function _(e,o,t,s,i){var _;s();const n=e(238),l=e(228);class c extends n.ActionToolView{doit(){this.plot_view.reset()}}t.ResetToolView=c,c.__name__=\"ResetToolView\";class r extends n.ActionTool{constructor(e){super(e),this.tool_name=\"Reset\",this.icon=l.tool_icon_reset}}t.ResetTool=r,_=r,r.__name__=\"ResetTool\",_.prototype.default_view=c,_.register_alias(\"reset\",(()=>new r))},\n", " function _(e,o,t,a,i){var s;a();const c=e(238),n=e(228);class l extends c.ActionToolView{async copy(){const e=await this.plot_view.to_blob(),o=new ClipboardItem({[e.type]:Promise.resolve(e)});await navigator.clipboard.write([o])}async save(e){const o=await this.plot_view.to_blob(),t=document.createElement(\"a\");t.href=URL.createObjectURL(o),t.download=e,t.target=\"_blank\",t.dispatchEvent(new MouseEvent(\"click\"))}doit(e=\"save\"){switch(e){case\"save\":this.save(\"bokeh_plot\");break;case\"copy\":this.copy()}}}t.SaveToolView=l,l.__name__=\"SaveToolView\";class r extends c.ActionTool{constructor(e){super(e),this.tool_name=\"Save\",this.icon=n.tool_icon_save}get menu(){return[{icon:\"bk-tool-icon-copy-to-clipboard\",tooltip:\"Copy image to clipboard\",if:()=>\"undefined\"!=typeof ClipboardItem,handler:()=>{this.do.emit(\"copy\")}}]}}t.SaveTool=r,s=r,r.__name__=\"SaveTool\",s.prototype.default_view=l,s.register_alias(\"save\",(()=>new r))},\n", " function _(o,e,t,n,i){var s;n();const l=o(238),_=o(228);class d extends l.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state.changed,(()=>this.model.disabled=!this.plot_view.state.can_undo))}doit(){const o=this.plot_view.state.undo();null!=(null==o?void 0:o.range)&&this.plot_view.trigger_ranges_update_event()}}t.UndoToolView=d,d.__name__=\"UndoToolView\";class a extends l.ActionTool{constructor(o){super(o),this.tool_name=\"Undo\",this.icon=_.tool_icon_undo}}t.UndoTool=a,s=a,a.__name__=\"UndoTool\",s.prototype.default_view=d,s.override({disabled:!0}),s.register_alias(\"undo\",(()=>new a))},\n", " function _(o,n,e,i,s){var t;i();const _=o(367),m=o(228);class a extends _.ZoomBaseToolView{}e.ZoomInToolView=a,a.__name__=\"ZoomInToolView\";class l extends _.ZoomBaseTool{constructor(o){super(o),this.sign=1,this.tool_name=\"Zoom In\",this.icon=m.tool_icon_zoom_in}}e.ZoomInTool=l,t=l,l.__name__=\"ZoomInTool\",t.prototype.default_view=a,t.register_alias(\"zoom_in\",(()=>new l({dimensions:\"both\"}))),t.register_alias(\"xzoom_in\",(()=>new l({dimensions:\"width\"}))),t.register_alias(\"yzoom_in\",(()=>new l({dimensions:\"height\"})))},\n", " function _(o,t,e,i,s){var n;i();const a=o(238),_=o(20),l=o(368);class m extends a.ActionToolView{doit(){var o;const t=this.plot_view.frame,e=this.model.dimensions,i=\"width\"==e||\"both\"==e,s=\"height\"==e||\"both\"==e,n=(0,l.scale_range)(t,this.model.sign*this.model.factor,i,s);this.plot_view.state.push(\"zoom_out\",{range:n}),this.plot_view.update_range(n,{scrolling:!0,maintain_focus:this.model.maintain_focus}),null===(o=this.model.document)||void 0===o||o.interactive_start(this.plot_model),this.plot_view.trigger_ranges_update_event()}}e.ZoomBaseToolView=m,m.__name__=\"ZoomBaseToolView\";class h extends a.ActionTool{constructor(o){super(o),this.maintain_focus=!0}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}e.ZoomBaseTool=h,n=h,h.__name__=\"ZoomBaseTool\",n.define((({Percent:o})=>({factor:[o,.1],dimensions:[_.Dimensions,\"both\"]})))},\n", " function _(n,t,o,r,s){r();const c=n(10);function e(n,t,o){const[r,s]=[n.start,n.end],c=null!=o?o:(s+r)/2;return[r-(r-c)*t,s-(s-c)*t]}function a(n,[t,o]){const r=new Map;for(const[s,c]of n){const[n,e]=c.r_invert(t,o);r.set(s,{start:n,end:e})}return r}o.scale_highlow=e,o.get_info=a,o.scale_range=function(n,t,o=!0,r=!0,s){t=(0,c.clamp)(t,-.9,.9);const l=o?t:0,[u,i]=e(n.bbox.h_range,l,null!=s?s.x:void 0),_=a(n.x_scales,[u,i]),f=r?t:0,[g,x]=e(n.bbox.v_range,f,null!=s?s.y:void 0);return{xrs:_,yrs:a(n.y_scales,[g,x]),factor:t}}},\n", " function _(o,e,t,i,s){var n;i();const _=o(367),a=o(228);class m extends _.ZoomBaseToolView{}t.ZoomOutToolView=m,m.__name__=\"ZoomOutToolView\";class l extends _.ZoomBaseTool{constructor(o){super(o),this.sign=-1,this.tool_name=\"Zoom Out\",this.icon=a.tool_icon_zoom_out}}t.ZoomOutTool=l,n=l,l.__name__=\"ZoomOutTool\",n.prototype.default_view=m,n.define((({Boolean:o})=>({maintain_focus:[o,!0]}))),n.register_alias(\"zoom_out\",(()=>new l({dimensions:\"both\"}))),n.register_alias(\"xzoom_out\",(()=>new l({dimensions:\"width\"}))),n.register_alias(\"yzoom_out\",(()=>new l({dimensions:\"height\"})))},\n", " function _(e,t,s,o,n){var r;o();const i=e(9),c=e(8),a=e(11),_=e(175),l=e(223);class d extends l.GestureToolView{constructor(){super(...arguments),this._mouse_in_frame=!0}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void(0,a.unreachable)():\"replace\"}_move_enter(e){this._mouse_in_frame=!0}_move_exit(e){this._mouse_in_frame=!1}_map_drag(e,t,s){if(!this.plot_view.frame.bbox.contains(e,t))return null;const o=this.plot_view.renderer_view(s);if(null==o)return null;return[o.coordinates.x_scale.invert(e),o.coordinates.y_scale.invert(t)]}_delete_selected(e){const t=e.data_source,s=t.selected.indices;s.sort();for(const e of t.columns()){const o=t.get_array(e);for(let e=0;e({custom_icon:[n(t),null],empty_value:[e],renderers:[s(o(_.GlyphRenderer)),[]]})))},\n", " function _(e,t,s,i,_){var o;i();const n=e(43),a=e(20),d=e(370),l=e(228);class r extends d.EditToolView{_tap(e){null==this._draw_basepoint&&null==this._basepoint&&this._select_event(e,this._select_mode(e),this.model.renderers)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)if(e.keyCode===n.Keys.Backspace)this._delete_selected(t);else if(e.keyCode==n.Keys.Esc){t.data_source.selection_manager.clear()}}_set_extent([e,t],[s,i],_,o=!1){const n=this.model.renderers[0],a=this.plot_view.renderer_view(n);if(null==a)return;const d=n.glyph,l=n.data_source,[r,h]=a.coordinates.x_scale.r_invert(e,t),[p,u]=a.coordinates.y_scale.r_invert(s,i),[c,m]=[(r+h)/2,(p+u)/2],[f,b]=[h-r,u-p],[y,x]=[d.x.field,d.y.field],[w,v]=[d.width.field,d.height.field];if(_)this._pop_glyphs(l,this.model.num_objects),y&&l.get_array(y).push(c),x&&l.get_array(x).push(m),w&&l.get_array(w).push(f),v&&l.get_array(v).push(b),this._pad_empty_columns(l,[y,x,w,v]);else{const e=l.data[y].length-1;y&&(l.data[y][e]=c),x&&(l.data[x][e]=m),w&&(l.data[w][e]=f),v&&(l.data[v][e]=b)}this._emit_cds_changes(l,!0,!1,o)}_update_box(e,t=!1,s=!1){if(null==this._draw_basepoint)return;const i=[e.sx,e.sy],_=this.plot_view.frame,o=this.model.dimensions,n=this.model._get_dim_limits(this._draw_basepoint,i,_,o);if(null!=n){const[e,i]=n;this._set_extent(e,i,t,s)}}_doubletap(e){this.model.active&&(null!=this._draw_basepoint?(this._update_box(e,!1,!0),this._draw_basepoint=null):(this._draw_basepoint=[e.sx,e.sy],this._select_event(e,\"append\",this.model.renderers),this._update_box(e,!0,!1)))}_move(e){this._update_box(e,!1,!1)}_pan_start(e){if(e.shiftKey){if(null!=this._draw_basepoint)return;this._draw_basepoint=[e.sx,e.sy],this._update_box(e,!0,!1)}else{if(null!=this._basepoint)return;this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy]}}_pan(e,t=!1,s=!1){if(e.shiftKey){if(null==this._draw_basepoint)return;this._update_box(e,t,s)}else{if(null==this._basepoint)return;this._drag_points(e,this.model.renderers)}}_pan_end(e){if(this._pan(e,!1,!0),e.shiftKey)this._draw_basepoint=null;else{this._basepoint=null;for(const e of this.model.renderers)this._emit_cds_changes(e.data_source,!1,!0,!0)}}}s.BoxEditToolView=r,r.__name__=\"BoxEditToolView\";class h extends d.EditTool{constructor(e){super(e),this.tool_name=\"Box Edit Tool\",this.icon=l.tool_icon_box_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=1}}s.BoxEditTool=h,o=h,h.__name__=\"BoxEditTool\",o.prototype.default_view=r,o.define((({Int:e})=>({dimensions:[a.Dimensions,\"both\"],num_objects:[e,0]})))},\n", " function _(e,t,a,s,r){var _;s();const d=e(43),o=e(8),n=e(370),i=e(228);class l extends n.EditToolView{_draw(e,t,a=!1){if(!this.model.active)return;const s=this.model.renderers[0],r=this._map_drag(e.sx,e.sy,s);if(null==r)return;const[_,d]=r,n=s.data_source,i=s.glyph,[l,h]=[i.xs.field,i.ys.field];if(\"new\"==t)this._pop_glyphs(n,this.model.num_objects),l&&n.get_array(l).push([_]),h&&n.get_array(h).push([d]),this._pad_empty_columns(n,[l,h]);else if(\"add\"==t){if(l){const e=n.data[l].length-1;let t=n.get_array(l)[e];(0,o.isArray)(t)||(t=Array.from(t),n.data[l][e]=t),t.push(_)}if(h){const e=n.data[h].length-1;let t=n.get_array(h)[e];(0,o.isArray)(t)||(t=Array.from(t),n.data[h][e]=t),t.push(d)}}this._emit_cds_changes(n,!0,!0,a)}_pan_start(e){this._draw(e,\"new\")}_pan(e){this._draw(e,\"add\")}_pan_end(e){this._draw(e,\"add\",!0)}_tap(e){this._select_event(e,this._select_mode(e),this.model.renderers)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===d.Keys.Esc?t.data_source.selection_manager.clear():e.keyCode===d.Keys.Backspace&&this._delete_selected(t)}}a.FreehandDrawToolView=l,l.__name__=\"FreehandDrawToolView\";class h extends n.EditTool{constructor(e){super(e),this.tool_name=\"Freehand Draw Tool\",this.icon=i.tool_icon_freehand_draw,this.event_type=[\"pan\",\"tap\"],this.default_order=3}}a.FreehandDrawTool=h,_=h,h.__name__=\"FreehandDrawTool\",_.prototype.default_view=l,_.define((({Int:e})=>({num_objects:[e,0]}))),_.register_alias(\"freehand_draw\",(()=>new h))},\n", " function _(e,t,s,o,a){var i;o();const n=e(43),_=e(370),r=e(228);class d extends _.EditToolView{_tap(e){if(this._select_event(e,this._select_mode(e),this.model.renderers).length||!this.model.add)return;const t=this.model.renderers[0],s=this._map_drag(e.sx,e.sy,t);if(null==s)return;const o=t.glyph,a=t.data_source,[i,n]=[o.x.field,o.y.field],[_,r]=s;this._pop_glyphs(a,this.model.num_objects),i&&a.get_array(i).push(_),n&&a.get_array(n).push(r),this._pad_empty_columns(a,[i,n]),a.change.emit(),a.data=a.data,a.properties.data.change.emit()}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===n.Keys.Backspace?this._delete_selected(t):e.keyCode==n.Keys.Esc&&t.data_source.selection_manager.clear()}_pan_start(e){this.model.drag&&(this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy])}_pan(e){this.model.drag&&null!=this._basepoint&&this._drag_points(e,this.model.renderers)}_pan_end(e){if(this.model.drag){this._pan(e);for(const e of this.model.renderers)this._emit_cds_changes(e.data_source,!1,!0,!0);this._basepoint=null}}}s.PointDrawToolView=d,d.__name__=\"PointDrawToolView\";class l extends _.EditTool{constructor(e){super(e),this.tool_name=\"Point Draw Tool\",this.icon=r.tool_icon_point_draw,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=2}}s.PointDrawTool=l,i=l,l.__name__=\"PointDrawTool\",i.prototype.default_view=d,i.define((({Boolean:e,Int:t})=>({add:[e,!0],drag:[e,!0],num_objects:[t,0]})))},\n", " function _(e,t,s,i,a){var r;i();const o=e(43),n=e(8),d=e(375),_=e(228);class h extends d.PolyToolView{constructor(){super(...arguments),this._drawing=!1,this._initialized=!1}_tap(e){this._drawing?this._draw(e,\"add\",!0):this._select_event(e,this._select_mode(e),this.model.renderers)}_draw(e,t,s=!1){const i=this.model.renderers[0],a=this._map_drag(e.sx,e.sy,i);if(this._initialized||this.activate(),null==a)return;const[r,o]=this._snap_to_vertex(e,...a),d=i.data_source,_=i.glyph,[h,l]=[_.xs.field,_.ys.field];if(\"new\"==t)this._pop_glyphs(d,this.model.num_objects),h&&d.get_array(h).push([r,r]),l&&d.get_array(l).push([o,o]),this._pad_empty_columns(d,[h,l]);else if(\"edit\"==t){if(h){const e=d.data[h][d.data[h].length-1];e[e.length-1]=r}if(l){const e=d.data[l][d.data[l].length-1];e[e.length-1]=o}}else if(\"add\"==t){if(h){const e=d.data[h].length-1;let t=d.get_array(h)[e];const s=t[t.length-1];t[t.length-1]=r,(0,n.isArray)(t)||(t=Array.from(t),d.data[h][e]=t),t.push(s)}if(l){const e=d.data[l].length-1;let t=d.get_array(l)[e];const s=t[t.length-1];t[t.length-1]=o,(0,n.isArray)(t)||(t=Array.from(t),d.data[l][e]=t),t.push(s)}}this._emit_cds_changes(d,!0,!1,s)}_show_vertices(){if(!this.model.active)return;const e=[],t=[];for(let s=0;sthis._show_vertices()))}this._initialized=!0}}deactivate(){this._drawing&&(this._remove(),this._drawing=!1),this.model.vertex_renderer&&this._hide_vertices()}}s.PolyDrawToolView=h,h.__name__=\"PolyDrawToolView\";class l extends d.PolyTool{constructor(e){super(e),this.tool_name=\"Polygon Draw Tool\",this.icon=_.tool_icon_poly_draw,this.event_type=[\"pan\",\"tap\",\"move\"],this.default_order=3}}s.PolyDrawTool=l,r=l,l.__name__=\"PolyDrawTool\",r.prototype.default_view=h,r.define((({Boolean:e,Int:t})=>({drag:[e,!0],num_objects:[t,0]})))},\n", " function _(e,r,t,s,o){var _;s();const d=e(8),i=e(370);class l extends i.EditToolView{_set_vertices(e,r){const t=this.model.vertex_renderer.glyph,s=this.model.vertex_renderer.data_source,[o,_]=[t.x.field,t.y.field];o&&((0,d.isArray)(e)?s.data[o]=e:t.x={value:e}),_&&((0,d.isArray)(r)?s.data[_]=r:t.y={value:r}),this._emit_cds_changes(s,!0,!0,!1)}_hide_vertices(){this._set_vertices([],[])}_snap_to_vertex(e,r,t){if(this.model.vertex_renderer){const s=this._select_event(e,\"replace\",[this.model.vertex_renderer]),o=this.model.vertex_renderer.data_source,_=this.model.vertex_renderer.glyph,[d,i]=[_.x.field,_.y.field];if(s.length){const e=o.selected.indices[0];d&&(r=o.data[d][e]),i&&(t=o.data[i][e]),o.selection_manager.clear()}}return[r,t]}}t.PolyToolView=l,l.__name__=\"PolyToolView\";class n extends i.EditTool{constructor(e){super(e)}}t.PolyTool=n,_=n,n.__name__=\"PolyTool\",_.define((({AnyRef:e})=>({vertex_renderer:[e()]})))},\n", " function _(e,t,s,r,i){var _;r();const d=e(43),n=e(8),l=e(375),a=e(228);class c extends l.PolyToolView{constructor(){super(...arguments),this._drawing=!1,this._cur_index=null}_doubletap(e){if(!this.model.active)return;const t=this._map_drag(e.sx,e.sy,this.model.vertex_renderer);if(null==t)return;const[s,r]=t,i=this._select_event(e,\"replace\",[this.model.vertex_renderer]),_=this.model.vertex_renderer.data_source,d=this.model.vertex_renderer.glyph,[n,l]=[d.x.field,d.y.field];if(i.length&&null!=this._selected_renderer){const e=_.selected.indices[0];this._drawing?(this._drawing=!1,_.selection_manager.clear()):(_.selected.indices=[e+1],n&&_.get_array(n).splice(e+1,0,s),l&&_.get_array(l).splice(e+1,0,r),this._drawing=!0),_.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}else this._show_vertices(e)}_show_vertices(e){if(!this.model.active)return;const t=this.model.renderers[0],s=()=>this._update_vertices(t),r=null==t?void 0:t.data_source,i=this._select_event(e,\"replace\",this.model.renderers);if(!i.length)return this._set_vertices([],[]),this._selected_renderer=null,this._drawing=!1,this._cur_index=null,void(null!=r&&r.disconnect(r.properties.data.change,s));null!=r&&r.connect(r.properties.data.change,s),this._cur_index=i[0].data_source.selected.indices[0],this._update_vertices(i[0])}_update_vertices(e){const t=e.glyph,s=e.data_source,r=this._cur_index,[i,_]=[t.xs.field,t.ys.field];if(this._drawing)return;if(null==r&&(i||_))return;let d,l;i&&null!=r?(d=s.data[i][r],(0,n.isArray)(d)||(s.data[i][r]=d=Array.from(d))):d=t.xs.value,_&&null!=r?(l=s.data[_][r],(0,n.isArray)(l)||(s.data[_][r]=l=Array.from(l))):l=t.ys.value,this._selected_renderer=e,this._set_vertices(d,l)}_move(e){if(this._drawing&&null!=this._selected_renderer){const t=this.model.vertex_renderer,s=t.data_source,r=t.glyph,i=this._map_drag(e.sx,e.sy,t);if(null==i)return;let[_,d]=i;const n=s.selected.indices;[_,d]=this._snap_to_vertex(e,_,d),s.selected.indices=n;const[l,a]=[r.x.field,r.y.field],c=n[0];l&&(s.data[l][c]=_),a&&(s.data[a][c]=d),s.change.emit(),this._selected_renderer.data_source.change.emit()}}_tap(e){const t=this.model.vertex_renderer,s=this._map_drag(e.sx,e.sy,t);if(null==s)return;if(this._drawing&&this._selected_renderer){let[r,i]=s;const _=t.data_source,d=t.glyph,[n,l]=[d.x.field,d.y.field],a=_.selected.indices;[r,i]=this._snap_to_vertex(e,r,i);const c=a[0];if(_.selected.indices=[c+1],n){const e=_.get_array(n),t=e[c];e[c]=r,e.splice(c+1,0,t)}if(l){const e=_.get_array(l),t=e[c];e[c]=i,e.splice(c+1,0,t)}return _.change.emit(),void this._emit_cds_changes(this._selected_renderer.data_source,!0,!1,!0)}const r=this._select_mode(e);this._select_event(e,r,[t]),this._select_event(e,r,this.model.renderers)}_remove_vertex(){if(!this._drawing||!this._selected_renderer)return;const e=this.model.vertex_renderer,t=e.data_source,s=e.glyph,r=t.selected.indices[0],[i,_]=[s.x.field,s.y.field];i&&t.get_array(i).splice(r,1),_&&t.get_array(_).splice(r,1),t.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}_pan_start(e){this._select_event(e,\"append\",[this.model.vertex_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._emit_cds_changes(this.model.vertex_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}_keyup(e){if(!this.model.active||!this._mouse_in_frame)return;let t;t=this._selected_renderer?[this.model.vertex_renderer]:this.model.renderers;for(const s of t)e.keyCode===d.Keys.Backspace?(this._delete_selected(s),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source)):e.keyCode==d.Keys.Esc&&(this._drawing?(this._remove_vertex(),this._drawing=!1):this._selected_renderer&&this._hide_vertices(),s.data_source.selection_manager.clear())}deactivate(){this._selected_renderer&&(this._drawing&&(this._remove_vertex(),this._drawing=!1),this._hide_vertices())}}s.PolyEditToolView=c,c.__name__=\"PolyEditToolView\";class o extends l.PolyTool{constructor(e){super(e),this.tool_name=\"Poly Edit Tool\",this.icon=a.tool_icon_poly_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}}s.PolyEditTool=o,_=o,o.__name__=\"PolyEditTool\",_.prototype.default_view=c},\n", " function _(e,t,o,s,i){var l;s();const n=e(378),_=e(116),c=e(20),r=e(228);class a extends n.SelectToolView{_compute_limits(e){const t=this.plot_view.frame,o=this.model.dimensions;let s=this._base_point;if(\"center\"==this.model.origin){const[t,o]=s,[i,l]=e;s=[t-(i-t),o-(l-o)]}return this.model._get_dim_limits(s,e,t,o)}_pan_start(e){const{sx:t,sy:o}=e;this._base_point=[t,o]}_pan(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this.model.overlay.update({left:i[0],right:i[1],top:l[0],bottom:l[1]}),this.model.select_every_mousemove&&this._do_select(i,l,!1,this._select_mode(e))}_pan_end(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this._do_select(i,l,!0,this._select_mode(e)),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null,this.plot_view.state.push(\"box_select\",{selection:this.plot_view.get_selection()})}_do_select([e,t],[o,s],i,l=\"replace\"){const n={type:\"rect\",sx0:e,sx1:t,sy0:o,sy1:s};this._select(n,i,l)}}o.BoxSelectToolView=a,a.__name__=\"BoxSelectToolView\";const h=()=>new _.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class m extends n.SelectTool{constructor(e){super(e),this.tool_name=\"Box Select\",this.icon=r.tool_icon_box_select,this.event_type=\"pan\",this.default_order=30}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}o.BoxSelectTool=m,l=m,m.__name__=\"BoxSelectTool\",l.prototype.default_view=a,l.define((({Boolean:e,Ref:t})=>({dimensions:[c.Dimensions,\"both\"],select_every_mousemove:[e,!1],overlay:[t(_.BoxAnnotation),h],origin:[c.BoxOrigin,\"corner\"]}))),l.register_alias(\"box_select\",(()=>new m)),l.register_alias(\"xbox_select\",(()=>new m({dimensions:\"width\"}))),l.register_alias(\"ybox_select\",(()=>new m({dimensions:\"height\"})))},\n", " function _(e,t,s,n,r){var o;n();const c=e(223),i=e(175),a=e(339),l=e(176),d=e(66),_=e(20),h=e(43),p=e(251),u=e(15),m=e(11);class v extends c.GestureToolView{connect_signals(){super.connect_signals(),this.model.clear.connect((()=>this._clear()))}get computed_renderers(){const{renderers:e,names:t}=this.model,s=this.plot_model.data_renderers;return(0,d.compute_renderers)(e,s,t)}_computed_renderers_by_data_source(){var e;const t=new Map;for(const s of this.computed_renderers){let n;if(s instanceof i.GlyphRenderer)n=s.data_source;else{if(!(s instanceof a.GraphRenderer))continue;n=s.node_renderer.data_source}const r=null!==(e=t.get(n))&&void 0!==e?e:[];t.set(n,[...r,s])}return t}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void(0,m.unreachable)():this.model.mode}_keyup(e){e.keyCode==h.Keys.Esc&&this._clear()}_clear(){for(const e of this.computed_renderers)e.get_selection_manager().clear();const e=this.computed_renderers.map((e=>this.plot_view.renderer_view(e)));this.plot_view.request_paint(e)}_select(e,t,s){const n=this._computed_renderers_by_data_source();for(const[,r]of n){const n=r[0].get_selection_manager(),o=[];for(const e of r){const t=this.plot_view.renderer_view(e);null!=t&&o.push(t)}n.select(o,e,t,s)}null!=this.model.callback&&this._emit_callback(e),this._emit_selection_event(e,t)}_emit_selection_event(e,t=!0){const{x_scale:s,y_scale:n}=this.plot_view.frame;let r;switch(e.type){case\"point\":{const{sx:t,sy:o}=e,c=s.invert(t),i=n.invert(o);r=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"span\":{const{sx:t,sy:o}=e,c=s.invert(t),i=n.invert(o);r=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"rect\":{const{sx0:t,sx1:o,sy0:c,sy1:i}=e,[a,l]=s.r_invert(t,o),[d,_]=n.r_invert(c,i);r=Object.assign(Object.assign({},e),{x0:a,y0:d,x1:l,y1:_});break}case\"poly\":{const{sx:t,sy:o}=e,c=s.v_invert(t),i=n.v_invert(o);r=Object.assign(Object.assign({},e),{x:c,y:i});break}}this.plot_model.trigger_event(new p.SelectionGeometry(r,t))}}s.SelectToolView=v,v.__name__=\"SelectToolView\";class b extends c.GestureTool{constructor(e){super(e)}initialize(){super.initialize(),this.clear=new u.Signal0(this,\"clear\")}get menu(){return[{icon:\"bk-tool-icon-replace-mode\",tooltip:\"Replace the current selection\",active:()=>\"replace\"==this.mode,handler:()=>{this.mode=\"replace\",this.active=!0}},{icon:\"bk-tool-icon-append-mode\",tooltip:\"Append to the current selection (Shift)\",active:()=>\"append\"==this.mode,handler:()=>{this.mode=\"append\",this.active=!0}},{icon:\"bk-tool-icon-intersect-mode\",tooltip:\"Intersect with the current selection (Ctrl)\",active:()=>\"intersect\"==this.mode,handler:()=>{this.mode=\"intersect\",this.active=!0}},{icon:\"bk-tool-icon-subtract-mode\",tooltip:\"Subtract from the current selection (Shift+Ctrl)\",active:()=>\"subtract\"==this.mode,handler:()=>{this.mode=\"subtract\",this.active=!0}},null,{icon:\"bk-tool-icon-clear-selection\",tooltip:\"Clear the current selection (Esc)\",handler:()=>{this.clear.emit()}}]}}s.SelectTool=b,o=b,b.__name__=\"SelectTool\",o.define((({String:e,Array:t,Ref:s,Or:n,Auto:r})=>({renderers:[n(t(s(l.DataRenderer)),r),\"auto\"],names:[t(e),[]],mode:[_.SelectionMode,\"replace\"]})))},\n", " function _(t,o,e,s,i){var n;s();const _=t(223),a=t(116),l=t(20),r=t(228);class h extends _.GestureToolView{_match_aspect(t,o,e){const s=e.bbox.aspect,i=e.bbox.h_range.end,n=e.bbox.h_range.start,_=e.bbox.v_range.end,a=e.bbox.v_range.start;let l=Math.abs(t[0]-o[0]),r=Math.abs(t[1]-o[1]);const h=0==r?0:l/r,[c]=h>=s?[1,h/s]:[s/h,1];let m,p,d,b;return t[0]<=o[0]?(m=t[0],p=t[0]+l*c,p>i&&(p=i)):(p=t[0],m=t[0]-l*c,m_&&(d=_)):(d=t[1],b=t[1]-l/s,bnew a.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class m extends _.GestureTool{constructor(t){super(t),this.tool_name=\"Box Zoom\",this.icon=r.tool_icon_box_zoom,this.event_type=\"pan\",this.default_order=20}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}e.BoxZoomTool=m,n=m,m.__name__=\"BoxZoomTool\",n.prototype.default_view=h,n.define((({Boolean:t,Ref:o})=>({dimensions:[l.Dimensions,\"both\"],overlay:[o(a.BoxAnnotation),c],match_aspect:[t,!1],origin:[l.BoxOrigin,\"corner\"]}))),n.register_alias(\"box_zoom\",(()=>new m({dimensions:\"both\"}))),n.register_alias(\"xbox_zoom\",(()=>new m({dimensions:\"width\"}))),n.register_alias(\"ybox_zoom\",(()=>new m({dimensions:\"height\"})))},\n", " function _(s,e,t,o,_){var l;o();const i=s(378),a=s(217),c=s(381),n=s(43),h=s(228);class r extends i.SelectToolView{constructor(){super(...arguments),this.sxs=[],this.sys=[]}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,(()=>this._active_change()))}_active_change(){this.model.active||this._clear_overlay()}_keyup(s){s.keyCode==n.Keys.Enter&&this._clear_overlay()}_pan_start(s){this.sxs=[],this.sys=[];const{sx:e,sy:t}=s;this._append_overlay(e,t)}_pan(s){const[e,t]=this.plot_view.frame.bbox.clip(s.sx,s.sy);this._append_overlay(e,t),this.model.select_every_mousemove&&this._do_select(this.sxs,this.sys,!1,this._select_mode(s))}_pan_end(s){const{sxs:e,sys:t}=this;this._clear_overlay(),this._do_select(e,t,!0,this._select_mode(s)),this.plot_view.state.push(\"lasso_select\",{selection:this.plot_view.get_selection()})}_append_overlay(s,e){const{sxs:t,sys:o}=this;t.push(s),o.push(e),this.model.overlay.update({xs:t,ys:o})}_clear_overlay(){this.sxs=[],this.sys=[],this.model.overlay.update({xs:this.sxs,ys:this.sys})}_do_select(s,e,t,o){const _={type:\"poly\",sx:s,sy:e};this._select(_,t,o)}}t.LassoSelectToolView=r,r.__name__=\"LassoSelectToolView\";class y extends i.SelectTool{constructor(s){super(s),this.tool_name=\"Lasso Select\",this.icon=h.tool_icon_lasso_select,this.event_type=\"pan\",this.default_order=12}}t.LassoSelectTool=y,l=y,y.__name__=\"LassoSelectTool\",l.prototype.default_view=r,l.define((({Boolean:s,Ref:e})=>({select_every_mousemove:[s,!0],overlay:[e(a.PolyAnnotation),c.DEFAULT_POLY_OVERLAY]}))),l.register_alias(\"lasso_select\",(()=>new y))},\n", " function _(e,t,s,l,o){var i;l();const a=e(378),_=e(217),c=e(43),n=e(9),h=e(228);class y extends a.SelectToolView{initialize(){super.initialize(),this.data={sx:[],sy:[]}}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,(()=>this._active_change()))}_active_change(){this.model.active||this._clear_data()}_keyup(e){e.keyCode==c.Keys.Enter&&this._clear_data()}_doubletap(e){this._do_select(this.data.sx,this.data.sy,!0,this._select_mode(e)),this.plot_view.state.push(\"poly_select\",{selection:this.plot_view.get_selection()}),this._clear_data()}_clear_data(){this.data={sx:[],sy:[]},this.model.overlay.update({xs:[],ys:[]})}_tap(e){const{sx:t,sy:s}=e;this.plot_view.frame.bbox.contains(t,s)&&(this.data.sx.push(t),this.data.sy.push(s),this.model.overlay.update({xs:(0,n.copy)(this.data.sx),ys:(0,n.copy)(this.data.sy)}))}_do_select(e,t,s,l){const o={type:\"poly\",sx:e,sy:t};this._select(o,s,l)}}s.PolySelectToolView=y,y.__name__=\"PolySelectToolView\";s.DEFAULT_POLY_OVERLAY=()=>new _.PolyAnnotation({level:\"overlay\",xs_units:\"screen\",ys_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class d extends a.SelectTool{constructor(e){super(e),this.tool_name=\"Poly Select\",this.icon=h.tool_icon_polygon_select,this.event_type=\"tap\",this.default_order=11}}s.PolySelectTool=d,i=d,d.__name__=\"PolySelectTool\",i.prototype.default_view=y,i.define((({Ref:e})=>({overlay:[e(_.PolyAnnotation),s.DEFAULT_POLY_OVERLAY]}))),i.register_alias(\"poly_select\",(()=>new d))},\n", " function _(e,t,s,i,r){var n;i();const _=e(20),d=e(383),o=e(228);class l extends d.LineToolView{constructor(){super(...arguments),this._drawing=!1}_doubletap(e){if(!this.model.active)return;const t=this.model.renderers;for(const s of t){1==this._select_event(e,\"replace\",[s]).length&&(this._selected_renderer=s)}this._show_intersections(),this._update_line_cds()}_show_intersections(){if(!this.model.active)return;if(null==this._selected_renderer)return;if(!this.model.renderers.length)return this._set_intersection([],[]),this._selected_renderer=null,void(this._drawing=!1);const e=this._selected_renderer.data_source,t=this._selected_renderer.glyph,[s,i]=[t.x.field,t.y.field],r=e.get_array(s),n=e.get_array(i);this._set_intersection(r,n)}_tap(e){const t=this.model.intersection_renderer;if(null==this._map_drag(e.sx,e.sy,t))return;if(this._drawing&&this._selected_renderer){const s=this._select_mode(e);if(0==this._select_event(e,s,[t]).length)return}const s=this._select_mode(e);this._select_event(e,s,[t]),this._select_event(e,s,this.model.renderers)}_update_line_cds(){if(null==this._selected_renderer)return;const e=this.model.intersection_renderer.glyph,t=this.model.intersection_renderer.data_source,[s,i]=[e.x.field,e.y.field];if(s&&i){const e=t.data[s],r=t.data[i];this._selected_renderer.data_source.data[s]=e,this._selected_renderer.data_source.data[i]=r}this._emit_cds_changes(this._selected_renderer.data_source,!0,!0,!1)}_pan_start(e){this._select_event(e,\"append\",[this.model.intersection_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer],this.model.dimensions),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer]),this._emit_cds_changes(this.model.intersection_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}activate(){this._drawing=!0}deactivate(){this._selected_renderer&&(this._drawing&&(this._drawing=!1),this._hide_intersections())}}s.LineEditToolView=l,l.__name__=\"LineEditToolView\";class h extends d.LineTool{constructor(e){super(e),this.tool_name=\"Line Edit Tool\",this.icon=o.tool_icon_line_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}s.LineEditTool=h,n=h,h.__name__=\"LineEditTool\",n.prototype.default_view=l,n.define((()=>({dimensions:[_.Dimensions,\"both\"]})))},\n", " function _(e,i,n,t,s){var o;t();const r=e(8),_=e(370);class d extends _.EditToolView{_set_intersection(e,i){const n=this.model.intersection_renderer.glyph,t=this.model.intersection_renderer.data_source,[s,o]=[n.x.field,n.y.field];s&&((0,r.isArray)(e)?t.data[s]=e:n.x={value:e}),o&&((0,r.isArray)(i)?t.data[o]=i:n.y={value:i}),this._emit_cds_changes(t,!0,!0,!1)}_hide_intersections(){this._set_intersection([],[])}}n.LineToolView=d,d.__name__=\"LineToolView\";class a extends _.EditTool{constructor(e){super(e)}}n.LineTool=a,o=a,a.__name__=\"LineTool\",o.define((({AnyRef:e})=>({intersection_renderer:[e()]})))},\n", " function _(t,s,n,e,i){e();const o=t(1);var a;const _=t(223),l=t(20),r=(0,o.__importStar)(t(228));function h(t,s,n){const e=new Map;for(const[i,o]of t){const[t,a]=o.r_invert(s,n);e.set(i,{start:t,end:a})}return e}n.update_ranges=h;class d extends _.GestureToolView{_pan_start(t){var s;this.last_dx=0,this.last_dy=0;const{sx:n,sy:e}=t,i=this.plot_view.frame.bbox;if(!i.contains(n,e)){const t=i.h_range,s=i.v_range;(nt.end)&&(this.v_axis_only=!0),(es.end)&&(this.h_axis_only=!0)}null===(s=this.model.document)||void 0===s||s.interactive_start(this.plot_model)}_pan(t){var s;this._update(t.deltaX,t.deltaY),null===(s=this.model.document)||void 0===s||s.interactive_start(this.plot_model)}_pan_end(t){this.h_axis_only=!1,this.v_axis_only=!1,null!=this.pan_info&&this.plot_view.state.push(\"pan\",{range:this.pan_info}),this.plot_view.trigger_ranges_update_event()}_update(t,s){const n=this.plot_view.frame,e=t-this.last_dx,i=s-this.last_dy,o=n.bbox.h_range,a=o.start-e,_=o.end-e,l=n.bbox.v_range,r=l.start-i,d=l.end-i,p=this.model.dimensions;let c,u,m,v,x,g;\"width\"!=p&&\"both\"!=p||this.v_axis_only?(c=o.start,u=o.end,m=0):(c=a,u=_,m=-e),\"height\"!=p&&\"both\"!=p||this.h_axis_only?(v=l.start,x=l.end,g=0):(v=r,x=d,g=-i),this.last_dx=t,this.last_dy=s;const{x_scales:w,y_scales:y}=n,f=h(w,c,u),b=h(y,v,x);this.pan_info={xrs:f,yrs:b,sdx:m,sdy:g},this.plot_view.update_range(this.pan_info,{panning:!0})}}n.PanToolView=d,d.__name__=\"PanToolView\";class p extends _.GestureTool{constructor(t){super(t),this.tool_name=\"Pan\",this.event_type=\"pan\",this.default_order=10}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}n.PanTool=p,a=p,p.__name__=\"PanTool\",a.prototype.default_view=d,a.define((()=>({dimensions:[l.Dimensions,\"both\",{on_update(t,s){switch(t){case\"both\":s.icon=r.tool_icon_pan;break;case\"width\":s.icon=r.tool_icon_xpan;break;case\"height\":s.icon=r.tool_icon_ypan}}}]}))),a.register_alias(\"pan\",(()=>new p({dimensions:\"both\"}))),a.register_alias(\"xpan\",(()=>new p({dimensions:\"width\"}))),a.register_alias(\"ypan\",(()=>new p({dimensions:\"height\"})))},\n", " function _(e,t,i,s,n){var l;s();const a=e(116),r=e(58),o=e(19),_=e(223),h=e(228);function d(e){switch(e){case 1:return 2;case 2:return 1;case 4:return 5;case 5:return 4;default:return e}}function u(e,t,i,s){if(null==t)return!1;const n=i.compute(t);return Math.abs(e-n)n.right)&&(l=!1)}if(null!=n.bottom&&null!=n.top){const e=s.invert(t);(en.top)&&(l=!1)}return l}function g(e,t,i){let s=0;return e>=i.start&&e<=i.end&&(s+=1),t>=i.start&&t<=i.end&&(s+=1),s}function y(e,t,i,s){const n=t.compute(e),l=t.invert(n+i);return l>=s.start&&l<=s.end?l:e}function f(e,t,i){return e>t.start?(t.end=e,i):(t.end=t.start,t.start=e,d(i))}function v(e,t,i){return e=o&&(e.start=a,e.end=r)}i.flip_side=d,i.is_near=u,i.is_inside=c,i.sides_inside=g,i.compute_value=y,i.update_range_end_side=f,i.update_range_start_side=v,i.update_range=m;class p extends _.GestureToolView{initialize(){super.initialize(),this.side=0,this.model.update_overlay_from_ranges()}connect_signals(){super.connect_signals(),null!=this.model.x_range&&this.connect(this.model.x_range.change,(()=>this.model.update_overlay_from_ranges())),null!=this.model.y_range&&this.connect(this.model.y_range.change,(()=>this.model.update_overlay_from_ranges()))}_pan_start(e){this.last_dx=0,this.last_dy=0;const t=this.model.x_range,i=this.model.y_range,{frame:s}=this.plot_view,n=s.x_scale,l=s.y_scale,r=this.model.overlay,{left:o,right:_,top:h,bottom:d}=r,g=this.model.overlay.line_width+a.EDGE_TOLERANCE;null!=t&&this.model.x_interaction&&(u(e.sx,o,n,g)?this.side=1:u(e.sx,_,n,g)?this.side=2:c(e.sx,e.sy,n,l,r)&&(this.side=3)),null!=i&&this.model.y_interaction&&(0==this.side&&u(e.sy,d,l,g)&&(this.side=4),0==this.side&&u(e.sy,h,l,g)?this.side=5:c(e.sx,e.sy,n,l,this.model.overlay)&&(3==this.side?this.side=7:this.side=6))}_pan(e){const t=this.plot_view.frame,i=e.deltaX-this.last_dx,s=e.deltaY-this.last_dy,n=this.model.x_range,l=this.model.y_range,a=t.x_scale,r=t.y_scale;if(null!=n)if(3==this.side||7==this.side)m(n,a,i,t.x_range);else if(1==this.side){const e=y(n.start,a,i,t.x_range);this.side=v(e,n,this.side)}else if(2==this.side){const e=y(n.end,a,i,t.x_range);this.side=f(e,n,this.side)}if(null!=l)if(6==this.side||7==this.side)m(l,r,s,t.y_range);else if(4==this.side){const e=y(l.start,r,s,t.y_range);this.side=v(e,l,this.side)}else if(5==this.side){const e=y(l.end,r,s,t.y_range);this.side=f(e,l,this.side)}this.last_dx=e.deltaX,this.last_dy=e.deltaY}_pan_end(e){this.side=0,this.plot_view.trigger_ranges_update_event()}}i.RangeToolView=p,p.__name__=\"RangeToolView\";const x=()=>new a.BoxAnnotation({level:\"overlay\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:.5,line_dash:[2,2]});class w extends _.GestureTool{constructor(e){super(e),this.tool_name=\"Range Tool\",this.icon=h.tool_icon_range,this.event_type=\"pan\",this.default_order=1}initialize(){super.initialize(),this.overlay.in_cursor=\"grab\",this.overlay.ew_cursor=null!=this.x_range&&this.x_interaction?\"ew-resize\":null,this.overlay.ns_cursor=null!=this.y_range&&this.y_interaction?\"ns-resize\":null}update_overlay_from_ranges(){null==this.x_range&&null==this.y_range&&(this.overlay.left=null,this.overlay.right=null,this.overlay.bottom=null,this.overlay.top=null,o.logger.warn(\"RangeTool not configured with any Ranges.\")),null==this.x_range?(this.overlay.left=null,this.overlay.right=null):(this.overlay.left=this.x_range.start,this.overlay.right=this.x_range.end),null==this.y_range?(this.overlay.bottom=null,this.overlay.top=null):(this.overlay.bottom=this.y_range.start,this.overlay.top=this.y_range.end)}}i.RangeTool=w,l=w,w.__name__=\"RangeTool\",l.prototype.default_view=p,l.define((({Boolean:e,Ref:t,Nullable:i})=>({x_range:[i(t(r.Range1d)),null],x_interaction:[e,!0],y_range:[i(t(r.Range1d)),null],y_interaction:[e,!0],overlay:[t(a.BoxAnnotation),x]})))},\n", " function _(e,t,s,o,i){var l;o();const a=e(378),n=e(20),c=e(228);class _ extends a.SelectToolView{_tap(e){\"tap\"==this.model.gesture&&this._handle_tap(e)}_doubletap(e){\"doubletap\"==this.model.gesture&&this._handle_tap(e)}_handle_tap(e){const{sx:t,sy:s}=e,o={type:\"point\",sx:t,sy:s};this._select(o,!0,this._select_mode(e))}_select(e,t,s){const{callback:o}=this.model;if(\"select\"==this.model.behavior){const i=this._computed_renderers_by_data_source();for(const[,l]of i){const i=l[0].get_selection_manager(),a=l.map((e=>this.plot_view.renderer_view(e))).filter((e=>null!=e));if(i.select(a,e,t,s)&&null!=o){const t=a[0].coordinates.x_scale.invert(e.sx),s=a[0].coordinates.y_scale.invert(e.sy),l={geometries:Object.assign(Object.assign({},e),{x:t,y:s}),source:i.source};o.execute(this.model,l)}}this._emit_selection_event(e),this.plot_view.state.push(\"tap\",{selection:this.plot_view.get_selection()})}else for(const t of this.computed_renderers){const s=this.plot_view.renderer_view(t);if(null==s)continue;const i=t.get_selection_manager();if(i.inspect(s,e)&&null!=o){const t=s.coordinates.x_scale.invert(e.sx),l=s.coordinates.y_scale.invert(e.sy),a={geometries:Object.assign(Object.assign({},e),{x:t,y:l}),source:i.source};o.execute(this.model,a)}}}}s.TapToolView=_,_.__name__=\"TapToolView\";class r extends a.SelectTool{constructor(e){super(e),this.tool_name=\"Tap\",this.icon=c.tool_icon_tap_select,this.event_type=\"tap\",this.default_order=10}}s.TapTool=r,l=r,r.__name__=\"TapTool\",l.prototype.default_view=_,l.define((({Any:e,Enum:t,Nullable:s})=>({behavior:[n.TapBehavior,\"select\"],gesture:[t(\"tap\",\"doubletap\"),\"tap\"],callback:[s(e)]}))),l.register_alias(\"click\",(()=>new r({behavior:\"inspect\"}))),l.register_alias(\"tap\",(()=>new r)),l.register_alias(\"doubletap\",(()=>new r({gesture:\"doubletap\"})))},\n", " function _(e,t,s,n,i){var a;n();const o=e(223),l=e(20),_=e(228),r=e(384);class h extends o.GestureToolView{_scroll(e){let t=this.model.speed*e.delta;t>.9?t=.9:t<-.9&&(t=-.9),this._update_ranges(t)}_update_ranges(e){var t;const{frame:s}=this.plot_view,n=s.bbox.h_range,i=s.bbox.v_range,[a,o]=[n.start,n.end],[l,_]=[i.start,i.end];let h,d,p,c;switch(this.model.dimension){case\"height\":{const t=Math.abs(_-l);h=a,d=o,p=l-t*e,c=_-t*e;break}case\"width\":{const t=Math.abs(o-a);h=a-t*e,d=o-t*e,p=l,c=_;break}}const{x_scales:g,y_scales:u}=s,w={xrs:(0,r.update_ranges)(g,h,d),yrs:(0,r.update_ranges)(u,p,c),factor:e};this.plot_view.state.push(\"wheel_pan\",{range:w}),this.plot_view.update_range(w,{scrolling:!0}),null===(t=this.model.document)||void 0===t||t.interactive_start(this.plot_model,(()=>this.plot_view.trigger_ranges_update_event()))}}s.WheelPanToolView=h,h.__name__=\"WheelPanToolView\";class d extends o.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Pan\",this.icon=_.tool_icon_wheel_pan,this.event_type=\"scroll\",this.default_order=12}get tooltip(){return this._get_dim_tooltip(this.dimension)}}s.WheelPanTool=d,a=d,d.__name__=\"WheelPanTool\",a.prototype.default_view=h,a.define((()=>({dimension:[l.Dimension,\"width\"]}))),a.internal((({Number:e})=>({speed:[e,.001]}))),a.register_alias(\"xwheel_pan\",(()=>new d({dimension:\"width\"}))),a.register_alias(\"ywheel_pan\",(()=>new d({dimension:\"height\"})))},\n", " function _(e,o,t,s,i){var n;s();const l=e(223),_=e(368),h=e(20),a=e(27),r=e(228);class m extends l.GestureToolView{_pinch(e){const{sx:o,sy:t,scale:s,ctrlKey:i,shiftKey:n}=e;let l;l=s>=1?20*(s-1):-20/s,this._scroll({type:\"wheel\",sx:o,sy:t,delta:l,ctrlKey:i,shiftKey:n})}_scroll(e){var o;const{frame:t}=this.plot_view,s=t.bbox.h_range,i=t.bbox.v_range,{sx:n,sy:l}=e,h=this.model.dimensions,a=(\"width\"==h||\"both\"==h)&&s.startthis.plot_view.trigger_ranges_update_event()))}}t.WheelZoomToolView=m,m.__name__=\"WheelZoomToolView\";class d extends l.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Zoom\",this.icon=r.tool_icon_wheel_zoom,this.event_type=a.is_mobile?\"pinch\":\"scroll\",this.default_order=10}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}t.WheelZoomTool=d,n=d,d.__name__=\"WheelZoomTool\",n.prototype.default_view=m,n.define((({Boolean:e,Number:o})=>({dimensions:[h.Dimensions,\"both\"],maintain_focus:[e,!0],zoom_on_axis:[e,!0],speed:[o,1/600]}))),n.register_alias(\"wheel_zoom\",(()=>new d({dimensions:\"both\"}))),n.register_alias(\"xwheel_zoom\",(()=>new d({dimensions:\"width\"}))),n.register_alias(\"ywheel_zoom\",(()=>new d({dimensions:\"height\"})))},\n", " function _(i,e,s,t,o){var n;t();const l=i(232),a=i(219),h=i(20),r=i(13),_=i(228);class c extends l.InspectToolView{_move(i){if(!this.model.active)return;const{sx:e,sy:s}=i;this.plot_view.frame.bbox.contains(e,s)?this._update_spans(e,s):this._update_spans(null,null)}_move_exit(i){this._update_spans(null,null)}_update_spans(i,e){const s=this.model.dimensions;\"width\"!=s&&\"both\"!=s||(this.model.spans.width.location=e),\"height\"!=s&&\"both\"!=s||(this.model.spans.height.location=i)}}s.CrosshairToolView=c,c.__name__=\"CrosshairToolView\";class p extends l.InspectTool{constructor(i){super(i),this.tool_name=\"Crosshair\",this.icon=_.tool_icon_crosshair}get tooltip(){return this._get_dim_tooltip(this.dimensions)}get synthetic_renderers(){return(0,r.values)(this.spans)}}s.CrosshairTool=p,n=p,p.__name__=\"CrosshairTool\",(()=>{function i(i,e){return new a.Span({for_hover:!0,dimension:e,location_units:\"screen\",level:\"overlay\",line_color:i.line_color,line_width:i.line_width,line_alpha:i.line_alpha})}n.prototype.default_view=c,n.define((({Alpha:i,Number:e,Color:s})=>({dimensions:[h.Dimensions,\"both\"],line_color:[s,\"black\"],line_width:[e,1],line_alpha:[i,1]}))),n.internal((({Struct:e,Ref:s})=>({spans:[e({width:s(a.Span),height:s(a.Span)}),e=>({width:i(e,\"width\"),height:i(e,\"height\")})]}))),n.register_alias(\"crosshair\",(()=>new p))})()},\n", " function _(e,s,t,r,n){var o;r();const a=e(53),u=e(13),c=e(34);class i extends a.Model{constructor(e){super(e)}get values(){return(0,u.values)(this.args)}_make_code(e,s,t,r){return new Function(...(0,u.keys)(this.args),e,s,t,(0,c.use_strict)(r))}format(e,s,t){return this._make_code(\"value\",\"format\",\"special_vars\",this.code)(...this.values,e,s,t)}}t.CustomJSHover=i,o=i,i.__name__=\"CustomJSHover\",o.define((({Unknown:e,String:s,Dict:t})=>({args:[t(e),{}],code:[s,\"\"]})))},\n", " function _(e,t,n,s,o){s();const i=e(1);var r;const l=e(232),a=e(390),c=e(241),_=e(175),d=e(339),p=e(176),h=e(177),u=e(283),m=(0,i.__importStar)(e(185)),y=e(152),f=e(43),v=e(22),x=e(13),w=e(234),g=e(8),b=e(113),k=e(20),C=e(228),S=e(15),T=e(66),$=(0,i.__importStar)(e(242)),R=e(392);function M(e,t,n,s,o,i){const r={x:o[e],y:i[e]},l={x:o[e+1],y:i[e+1]};let a,c;if(\"span\"==t.type)\"h\"==t.direction?(a=Math.abs(r.x-n),c=Math.abs(l.x-n)):(a=Math.abs(r.y-s),c=Math.abs(l.y-s));else{const e={x:n,y:s};a=m.dist_2_pts(r,e),c=m.dist_2_pts(l,e)}return adelete this._template_el)),this.on_change([e,t,n],(async()=>await this._update_ttmodels()))}async _update_ttmodels(){const{_ttmodels:e,computed_renderers:t}=this;e.clear();const{tooltips:n}=this.model;if(null!=n)for(const t of this.computed_renderers){const s=new c.Tooltip({custom:(0,g.isString)(n)||(0,g.isFunction)(n),attachment:this.model.attachment,show_arrow:this.model.show_arrow});t instanceof _.GlyphRenderer?e.set(t,s):t instanceof d.GraphRenderer&&(e.set(t.node_renderer,s),e.set(t.edge_renderer,s))}const s=await(0,b.build_views)(this._ttviews,[...e.values()],{parent:this.plot_view});for(const e of s)e.render();const o=[...function*(){for(const e of t)e instanceof _.GlyphRenderer?yield e:e instanceof d.GraphRenderer&&(yield e.node_renderer,yield e.edge_renderer)}()],i=this._slots.get(this._update);if(null!=i){const e=new Set(o.map((e=>e.data_source)));S.Signal.disconnect_receiver(this,i,e)}for(const e of o)this.connect(e.data_source.inspect,this._update)}get computed_renderers(){const{renderers:e,names:t}=this.model,n=this.plot_model.data_renderers;return(0,T.compute_renderers)(e,n,t)}get ttmodels(){return this._ttmodels}_clear(){this._inspect(1/0,1/0);for(const[,e]of this.ttmodels)e.clear()}_move(e){if(!this.model.active)return;const{sx:t,sy:n}=e;this.plot_view.frame.bbox.contains(t,n)?this._inspect(t,n):this._clear()}_move_exit(){this._clear()}_inspect(e,t){let n;if(\"mouse\"==this.model.mode)n={type:\"point\",sx:e,sy:t};else{n={type:\"span\",direction:\"vline\"==this.model.mode?\"h\":\"v\",sx:e,sy:t}}for(const e of this.computed_renderers){const t=e.get_selection_manager(),s=this.plot_view.renderer_view(e);null!=s&&t.inspect(s,n)}this._emit_callback(n)}_update([e,{geometry:t}]){var n,s;if(!this.model.active)return;if(\"point\"!=t.type&&\"span\"!=t.type)return;if(!(e instanceof _.GlyphRenderer))return;if(\"ignore\"==this.model.muted_policy&&e.muted)return;const o=this.ttmodels.get(e);if(null==o)return;const i=e.get_selection_manager(),r=i.inspectors.get(e),l=e.view.convert_selection_to_subset(r);if(r.is_empty())return void o.clear();const a=i.source,c=this.plot_view.renderer_view(e);if(null==c)return;const{sx:d,sy:p}=t,m=c.coordinates.x_scale,y=c.coordinates.y_scale,v=m.invert(d),w=y.invert(p),{glyph:g}=c,b=[];if(g instanceof h.LineView)for(const n of l.line_indices){let s,o,i=g._x[n+1],r=g._y[n+1],c=n;switch(this.model.line_policy){case\"interp\":[i,r]=g.get_interpolation_hit(n,t),s=m.compute(i),o=y.compute(r);break;case\"prev\":[[s,o],c]=G(g.sx,g.sy,n);break;case\"next\":[[s,o],c]=G(g.sx,g.sy,n+1);break;case\"nearest\":[[s,o],c]=M(n,t,d,p,g.sx,g.sy),i=g._x[c],r=g._y[c];break;default:[s,o]=[d,p]}const _={index:c,x:v,y:w,sx:d,sy:p,data_x:i,data_y:r,rx:s,ry:o,indices:l.line_indices,name:e.name};b.push([s,o,this._render_tooltips(a,c,_)])}for(const t of r.image_indices){const n={index:t.index,x:v,y:w,sx:d,sy:p,name:e.name},s=this._render_tooltips(a,t,n);b.push([d,p,s])}for(const o of l.indices)if(g instanceof u.MultiLineView&&!(0,x.isEmpty)(l.multiline_indices))for(const n of l.multiline_indices[o.toString()]){let s,i,r,c=g._xs.get(o)[n],h=g._ys.get(o)[n],u=n;switch(this.model.line_policy){case\"interp\":[c,h]=g.get_interpolation_hit(o,n,t),s=m.compute(c),i=y.compute(h);break;case\"prev\":[[s,i],u]=G(g.sxs.get(o),g.sys.get(o),n);break;case\"next\":[[s,i],u]=G(g.sxs.get(o),g.sys.get(o),n+1);break;case\"nearest\":[[s,i],u]=M(n,t,d,p,g.sxs.get(o),g.sys.get(o)),c=g._xs.get(o)[u],h=g._ys.get(o)[u];break;default:throw new Error(\"shouldn't have happened\")}r=e instanceof _.GlyphRenderer?e.view.convert_indices_from_subset([o])[0]:o;const f={index:r,x:v,y:w,sx:d,sy:p,data_x:c,data_y:h,segment_index:u,indices:l.multiline_indices,name:e.name};b.push([s,i,this._render_tooltips(a,r,f)])}else{const t=null===(n=g._x)||void 0===n?void 0:n[o],i=null===(s=g._y)||void 0===s?void 0:s[o];let r,c,h;if(\"snap_to_data\"==this.model.point_policy){let e=g.get_anchor_point(this.model.anchor,o,[d,p]);if(null==e&&(e=g.get_anchor_point(\"center\",o,[d,p]),null==e))continue;r=e.x,c=e.y}else[r,c]=[d,p];h=e instanceof _.GlyphRenderer?e.view.convert_indices_from_subset([o])[0]:o;const u={index:h,x:v,y:w,sx:d,sy:p,data_x:t,data_y:i,indices:l.indices,name:e.name};b.push([r,c,this._render_tooltips(a,h,u)])}if(0==b.length)o.clear();else{const{content:e}=o;(0,f.empty)(o.content);for(const[,,t]of b)null!=t&&e.appendChild(t);const[t,n]=b[b.length-1];o.setv({position:[t,n]},{check_eq:!1})}}_emit_callback(e){const{callback:t}=this.model;if(null!=t)for(const n of this.computed_renderers){if(!(n instanceof _.GlyphRenderer))continue;const s=this.plot_view.renderer_view(n);if(null==s)continue;const{x_scale:o,y_scale:i}=s.coordinates,r=o.invert(e.sx),l=i.invert(e.sy),a=n.data_source.inspected;t.execute(this.model,{geometry:Object.assign({x:r,y:l},e),renderer:n,index:a})}}_create_template(e){const t=(0,f.div)({style:{display:\"table\",borderSpacing:\"2px\"}});for(const[n]of e){const e=(0,f.div)({style:{display:\"table-row\"}});t.appendChild(e);const s=(0,f.div)({style:{display:\"table-cell\"},class:$.tooltip_row_label},0!=n.length?`${n}: `:\"\");e.appendChild(s);const o=(0,f.span)();o.dataset.value=\"\";const i=(0,f.span)({class:$.tooltip_color_block},\" \");i.dataset.swatch=\"\",(0,f.undisplay)(i);const r=(0,f.div)({style:{display:\"table-cell\"},class:$.tooltip_row_value},o,i);e.appendChild(r)}return t}_render_template(e,t,n,s,o){const i=e.cloneNode(!0),r=i.querySelectorAll(\"[data-value]\"),l=i.querySelectorAll(\"[data-swatch]\"),a=/\\$color(\\[.*\\])?:(\\w*)/,c=/\\$swatch:(\\w*)/;for(const[[,e],i]of(0,w.enumerate)(t)){const t=e.match(c),_=e.match(a);if(null!=t||null!=_){if(null!=t){const[,e]=t,o=n.get_column(e);if(null==o)r[i].textContent=`${e} unknown`;else{const e=(0,g.isNumber)(s)?o[s]:null;null!=e&&(l[i].style.backgroundColor=(0,v.color2css)(e),(0,f.display)(l[i]))}}if(null!=_){const[,e=\"\",t]=_,o=n.get_column(t);if(null==o){r[i].textContent=`${t} unknown`;continue}const a=e.indexOf(\"hex\")>=0,c=e.indexOf(\"swatch\")>=0,d=(0,g.isNumber)(s)?o[s]:null;if(null==d){r[i].textContent=\"(null)\";continue}r[i].textContent=a?(0,v.color2hex)(d):(0,v.color2css)(d),c&&(l[i].style.backgroundColor=(0,v.color2css)(d),(0,f.display)(l[i]))}}else{const t=(0,y.replace_placeholders)(e.replace(\"$~\",\"$data_\"),n,s,this.model.formatters,o);if((0,g.isString)(t))r[i].textContent=t;else for(const e of t)r[i].appendChild(e)}}return i}_render_tooltips(e,t,n){var s;const{tooltips:o}=this.model;if((0,g.isString)(o)){const s=(0,y.replace_placeholders)({html:o},e,t,this.model.formatters,n);return(0,f.div)(s)}if((0,g.isFunction)(o))return o(e,n);if(o instanceof R.Template)return this._template_view.update(e,t,n),this._template_view.el;if(null!=o){const i=null!==(s=this._template_el)&&void 0!==s?s:this._template_el=this._create_template(o);return this._render_template(i,o,e,t,n)}return null}}n.HoverToolView=z,z.__name__=\"HoverToolView\";class A extends l.InspectTool{constructor(e){super(e),this.tool_name=\"Hover\",this.icon=C.tool_icon_hover}}n.HoverTool=A,r=A,A.__name__=\"HoverTool\",r.prototype.default_view=z,r.define((({Any:e,Boolean:t,String:n,Array:s,Tuple:o,Dict:i,Or:r,Ref:l,Function:c,Auto:_,Nullable:d})=>({tooltips:[d(r(l(R.Template),n,s(o(n,n)),c())),[[\"index\",\"$index\"],[\"data (x, y)\",\"($x, $y)\"],[\"screen (x, y)\",\"($sx, $sy)\"]]],formatters:[i(r(l(a.CustomJSHover),y.FormatterType)),{}],renderers:[r(s(l(p.DataRenderer)),_),\"auto\"],names:[s(n),[]],mode:[k.HoverMode,\"mouse\"],muted_policy:[k.MutedPolicy,\"show\"],point_policy:[k.PointPolicy,\"snap_to_data\"],line_policy:[k.LinePolicy,\"nearest\"],show_arrow:[t,!0],anchor:[k.Anchor,\"center\"],attachment:[k.TooltipAttachment,\"horizontal\"],callback:[d(e)]}))),r.register_alias(\"hover\",(()=>new A))},\n", " function _(e,t,s,n,a){n();const l=e(1);var i,_,o,r,c,d,p,u,m,w,f,h,x;const v=e(53),y=e(309),V=e(393);a(\"Styles\",V.Styles);const g=e(43),T=e(42),b=e(226),R=e(113),D=e(8),M=e(13),S=(0,l.__importStar)(e(242)),O=e(152);class C extends b.DOMView{}s.DOMNodeView=C,C.__name__=\"DOMNodeView\";class z extends v.Model{constructor(e){super(e)}}s.DOMNode=z,z.__name__=\"DOMNode\",z.__module__=\"bokeh.models.dom\";class P extends C{render(){super.render(),this.el.textContent=this.model.content}_createElement(){return document.createTextNode(\"\")}}s.TextView=P,P.__name__=\"TextView\";class A extends z{constructor(e){super(e)}}s.Text=A,i=A,A.__name__=\"Text\",i.prototype.default_view=P,i.define((({String:e})=>({content:[e,\"\"]})));class N extends C{}s.PlaceholderView=N,N.__name__=\"PlaceholderView\",N.tag_name=\"span\";class E extends z{constructor(e){super(e)}}s.Placeholder=E,_=E,E.__name__=\"Placeholder\",_.define((({})=>({})));class G extends N{update(e,t,s){this.el.textContent=t.toString()}}s.IndexView=G,G.__name__=\"IndexView\";class I extends E{constructor(e){super(e)}}s.Index=I,o=I,I.__name__=\"Index\",o.prototype.default_view=G,o.define((({})=>({})));class k extends N{update(e,t,s){const n=(0,O._get_column_value)(this.model.field,e,t),a=null==n?\"???\":`${n}`;this.el.textContent=a}}s.ValueRefView=k,k.__name__=\"ValueRefView\";class $ extends E{constructor(e){super(e)}}s.ValueRef=$,r=$,$.__name__=\"ValueRef\",r.prototype.default_view=k,r.define((({String:e})=>({field:[e]})));class B extends k{render(){super.render(),this.value_el=(0,g.span)(),this.swatch_el=(0,g.span)({class:S.tooltip_color_block},\" \"),this.el.appendChild(this.value_el),this.el.appendChild(this.swatch_el)}update(e,t,s){const n=(0,O._get_column_value)(this.model.field,e,t),a=null==n?\"???\":`${n}`;this.el.textContent=a}}s.ColorRefView=B,B.__name__=\"ColorRefView\";class L extends ${constructor(e){super(e)}}s.ColorRef=L,c=L,L.__name__=\"ColorRef\",c.prototype.default_view=B,c.define((({Boolean:e})=>({hex:[e,!0],swatch:[e,!0]})));class j extends C{constructor(){super(...arguments),this.child_views=new Map}async lazy_initialize(){await super.lazy_initialize();const e=this.model.children.filter((e=>e instanceof v.Model));await(0,R.build_views)(this.child_views,e,{parent:this})}render(){super.render();const{style:e}=this.model;if(null!=e)if(e instanceof V.Styles)for(const t of e){const e=t.get_value();if((0,D.isString)(e)){const s=t.attr.replace(/_/g,\"-\");this.el.style.hasOwnProperty(s)&&this.el.style.setProperty(s,e)}}else for(const[t,s]of(0,M.entries)(e)){const e=t.replace(/_/g,\"-\");this.el.style.hasOwnProperty(e)&&this.el.style.setProperty(e,s)}for(const e of this.model.children)if((0,D.isString)(e)){const t=document.createTextNode(e);this.el.appendChild(t)}else{this.child_views.get(e).renderTo(this.el)}}}s.DOMElementView=j,j.__name__=\"DOMElementView\";class q extends z{constructor(e){super(e)}}s.DOMElement=q,d=q,q.__name__=\"DOMElement\",d.define((({String:e,Array:t,Dict:s,Or:n,Nullable:a,Ref:l})=>({style:[a(n(l(V.Styles),s(e))),null],children:[t(n(e,l(z),l(y.LayoutDOM))),[]]})));class F extends T.View{}s.ActionView=F,F.__name__=\"ActionView\";class H extends v.Model{constructor(e){super(e)}}s.Action=H,p=H,H.__name__=\"Action\",H.__module__=\"bokeh.models.dom\",p.define((({})=>({})));class J extends j{constructor(){super(...arguments),this.action_views=new Map}async lazy_initialize(){await super.lazy_initialize(),await(0,R.build_views)(this.action_views,this.model.actions,{parent:this})}remove(){(0,R.remove_views)(this.action_views),super.remove()}update(e,t,s={}){!function n(a){for(const l of a.child_views.values())l instanceof N?l.update(e,t,s):l instanceof j&&n(l)}(this);for(const n of this.action_views.values())n.update(e,t,s)}}s.TemplateView=J,J.__name__=\"TemplateView\",J.tag_name=\"div\";class K extends q{}s.Template=K,u=K,K.__name__=\"Template\",u.prototype.default_view=J,u.define((({Array:e,Ref:t})=>({actions:[e(t(H)),[]]})));class Q extends j{}s.SpanView=Q,Q.__name__=\"SpanView\",Q.tag_name=\"span\";class U extends q{}s.Span=U,m=U,U.__name__=\"Span\",m.prototype.default_view=Q;class W extends j{}s.DivView=W,W.__name__=\"DivView\",W.tag_name=\"div\";class X extends q{}s.Div=X,w=X,X.__name__=\"Div\",w.prototype.default_view=W;class Y extends j{}s.TableView=Y,Y.__name__=\"TableView\",Y.tag_name=\"table\";class Z extends q{}s.Table=Z,f=Z,Z.__name__=\"Table\",f.prototype.default_view=Y;class ee extends j{}s.TableRowView=ee,ee.__name__=\"TableRowView\",ee.tag_name=\"tr\";class te extends q{}s.TableRow=te,h=te,te.__name__=\"TableRow\",h.prototype.default_view=ee;const se=e(41),ne=e(234);class ae extends F{update(e,t,s){for(const[e,s]of(0,ne.enumerate)(this.model.groups))e.visible=t==s}}s.ToggleGroupView=ae,ae.__name__=\"ToggleGroupView\";class le extends H{constructor(e){super(e)}}s.ToggleGroup=le,x=le,le.__name__=\"ToggleGroup\",x.prototype.default_view=ae,x.define((({Array:e,Ref:t})=>({groups:[e(t(se.RendererGroup)),[]]})))},\n", " function _(l,n,u,_,e){var t;_();const o=l(53);class r extends 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" function _(t,o,e,n,s){var i;n();const l=t(15),c=t(53),r=t(224),a=t(232),u=t(234);class h extends c.Model{constructor(t){super(t)}get button_view(){return this.tools[0].button_view}get event_type(){return this.tools[0].event_type}get tooltip(){return this.tools[0].tooltip}get tool_name(){return this.tools[0].tool_name}get icon(){return this.tools[0].computed_icon}get computed_icon(){return this.icon}get toggleable(){const t=this.tools[0];return t instanceof a.InspectTool&&t.toggleable}initialize(){super.initialize(),this.do=new l.Signal0(this,\"do\")}connect_signals(){super.connect_signals(),this.connect(this.do,(()=>this.doit())),this.connect(this.properties.active.change,(()=>this.set_active()));for(const t of this.tools)this.connect(t.properties.active.change,(()=>{this.active=t.active}))}doit(){for(const t of this.tools)t.do.emit()}set_active(){for(const t of this.tools)t.active=this.active}get menu(){const{menu:t}=this.tools[0];if(null==t)return null;const o=[];for(const[e,n]of(0,u.enumerate)(t))if(null==e)o.push(null);else{const t=()=>{var t,o,e;for(const s of this.tools)null===(e=null===(o=null===(t=s.menu)||void 0===t?void 0:t[n])||void 0===o?void 0:o.handler)||void 0===e||e.call(o)};o.push(Object.assign(Object.assign({},e),{handler:t}))}return o}}e.ToolProxy=h,i=h,h.__name__=\"ToolProxy\",i.define((({Boolean:t,Array:o,Ref:e})=>({tools:[o(e(r.ButtonTool)),[]],active:[t,!1],disabled:[t,!1]})))},\n", " function _(o,t,s,e,i){var n,r;e();const l=o(20),c=o(9),h=o(13),a=o(233),_=o(221),p=o(394),u=o(309),f=o(207);class y extends a.ToolbarBase{constructor(o){super(o)}initialize(){super.initialize(),this._merge_tools()}_merge_tools(){this._proxied_tools=[];const o={},t={},s={},e=[],i=[];for(const o of this.help)(0,c.includes)(i,o.redirect)||(e.push(o),i.push(o.redirect));this._proxied_tools.push(...e),this.help=e;for(const[o,t]of(0,h.entries)(this.gestures)){o in s||(s[o]={});for(const e of t.tools)e.type in s[o]||(s[o][e.type]=[]),s[o][e.type].push(e)}for(const t of this.inspectors)t.type in o||(o[t.type]=[]),o[t.type].push(t);for(const o of this.actions)o.type in t||(t[o.type]=[]),t[o.type].push(o);const n=(o,t=!1)=>{const s=new p.ToolProxy({tools:o,active:t});return this._proxied_tools.push(s),s};for(const o of(0,h.keys)(s)){const t=this.gestures[o];t.tools=[];for(const e of(0,h.keys)(s[o])){const i=s[o][e];if(i.length>0)if(\"multi\"==o)for(const o of i){const s=n([o]);t.tools.push(s),this.connect(s.properties.active.change,(()=>this._active_change(s)))}else{const o=n(i);t.tools.push(o),this.connect(o.properties.active.change,(()=>this._active_change(o)))}}}this.actions=[];for(const[o,s]of(0,h.entries)(t))if(\"CustomAction\"==o)for(const o of s)this.actions.push(n([o]));else s.length>0&&this.actions.push(n(s));this.inspectors=[];for(const t of(0,h.values)(o))t.length>0&&this.inspectors.push(n(t,!0));for(const[o,t]of(0,h.entries)(this.gestures))0!=t.tools.length&&(t.tools=(0,c.sort_by)(t.tools,(o=>o.default_order)),\"pinch\"!=o&&\"scroll\"!=o&&\"multi\"!=o&&(t.tools[0].active=!0))}}s.ProxyToolbar=y,n=y,y.__name__=\"ProxyToolbar\",n.define((({Array:o,Ref:t})=>({toolbars:[o(t(_.Toolbar)),[]]})));class d extends u.LayoutDOMView{initialize(){this.model.toolbar.toolbar_location=this.model.toolbar_location,super.initialize()}get child_models(){return[this.model.toolbar]}_update_layout(){this.layout=new f.ContentBox(this.child_views[0].el);const{toolbar:o}=this.model;o.horizontal?this.layout.set_sizing({width_policy:\"fit\",min_width:100,height_policy:\"fixed\"}):this.layout.set_sizing({width_policy:\"fixed\",height_policy:\"fit\",min_height:100})}after_layout(){super.after_layout();const o=this.child_views[0];o.layout.bbox=this.layout.bbox,o.render()}}s.ToolbarBoxView=d,d.__name__=\"ToolbarBoxView\";class b extends u.LayoutDOM{constructor(o){super(o)}}s.ToolbarBox=b,r=b,b.__name__=\"ToolbarBox\",r.prototype.default_view=d,r.define((({Ref:o})=>({toolbar:[o(a.ToolbarBase)],toolbar_location:[l.Location,\"right\"]})))},\n", " function _(e,n,r,t,o){t();const s=e(1),u=e(53),c=(0,s.__importStar)(e(21)),a=e(8),l=e(13);r.resolve_defs=function(e,n){var r,t,o,s;function i(e){return null!=e.module?`${e.module}.${e.name}`:e.name}function f(e){if((0,a.isString)(e))switch(e){case\"Any\":return c.Any;case\"Unknown\":return c.Unknown;case\"Boolean\":return c.Boolean;case\"Number\":return c.Number;case\"Int\":return c.Int;case\"String\":return c.String;case\"Null\":return c.Null}else switch(e[0]){case\"Nullable\":{const[,n]=e;return c.Nullable(f(n))}case\"Or\":{const[,...n]=e;return c.Or(...n.map(f))}case\"Tuple\":{const[,n,...r]=e;return c.Tuple(f(n),...r.map(f))}case\"Array\":{const[,n]=e;return c.Array(f(n))}case\"Struct\":{const[,...n]=e,r=n.map((([e,n])=>[e,f(n)]));return c.Struct((0,l.to_object)(r))}case\"Dict\":{const[,n]=e;return c.Dict(f(n))}case\"Map\":{const[,n,r]=e;return c.Map(f(n),f(r))}case\"Enum\":{const[,...n]=e;return c.Enum(...n)}case\"Ref\":{const[,r]=e,t=n.get(i(r));if(null!=t)return c.Ref(t);throw new Error(`${i(r)} wasn't defined before referencing it`)}case\"AnyRef\":return c.AnyRef()}}for(const c of e){const e=(()=>{if(null==c.extends)return u.Model;{const e=n.get(i(c.extends));if(null!=e)return e;throw new Error(`base model ${i(c.extends)} of ${i(c)} is not defined`)}})(),a=((s=class extends e{}).__name__=c.name,s.__module__=c.module,s);for(const e of null!==(r=c.properties)&&void 0!==r?r:[]){const n=f(null!==(t=e.kind)&&void 0!==t?t:\"Unknown\");a.define({[e.name]:[n,e.default]})}for(const e of null!==(o=c.overrides)&&void 0!==o?o:[])a.override({[e.name]:e.default});n.register(a)}}},\n", " function _(n,e,t,o,i){o();const d=n(5),c=n(226),s=n(113),a=n(43),l=n(398);t.index={},t.add_document_standalone=async function(n,e,o=[],i=!1){const u=new Map;async function f(i){let d;const f=n.roots().indexOf(i),r=o[f];null!=r?d=r:e.classList.contains(l.BOKEH_ROOT)?d=e:(d=(0,a.div)({class:l.BOKEH_ROOT}),e.appendChild(d));const w=await(0,s.build_view)(i,{parent:null});return w instanceof c.DOMView&&w.renderTo(d),u.set(i,w),t.index[i.id]=w,w}for(const e of n.roots())await f(e);return i&&(window.document.title=n.title()),n.on_change((n=>{n instanceof d.RootAddedEvent?f(n.model):n instanceof d.RootRemovedEvent?function(n){const e=u.get(n);null!=e&&(e.remove(),u.delete(n),delete t.index[n.id])}(n.model):i&&n instanceof d.TitleChangedEvent&&(window.document.title=n.title)})),[...u.values()]}},\n", " function _(o,e,n,t,r){t();const l=o(43),d=o(44);function u(o){let e=document.getElementById(o);if(null==e)throw new Error(`Error rendering Bokeh model: could not find #${o} HTML tag`);if(!document.body.contains(e))throw new Error(`Error rendering Bokeh model: element #${o} must be under `);if(\"SCRIPT\"==e.tagName){const o=(0,l.div)({class:n.BOKEH_ROOT});(0,l.replaceWith)(e,o),e=o}return e}n.BOKEH_ROOT=d.root,n._resolve_element=function(o){const{elementid:e}=o;return null!=e?u(e):document.body},n._resolve_root_elements=function(o){const e=[];if(null!=o.root_ids&&null!=o.roots)for(const n of o.root_ids)e.push(u(o.roots[n]));return e}},\n", " function _(n,o,t,s,e){s();const c=n(400),r=n(19),a=n(397);t._get_ws_url=function(n,o){let t,s=\"ws:\";return\"https:\"==window.location.protocol&&(s=\"wss:\"),null!=o?(t=document.createElement(\"a\"),t.href=o):t=window.location,null!=n?\"/\"==n&&(n=\"\"):n=t.pathname.replace(/\\/+$/,\"\"),`${s}//${t.host}${n}/ws`};const i={};t.add_document_from_session=async function(n,o,t,s=[],e=!1){const l=window.location.search.substr(1);let d;try{d=await function(n,o,t){const s=(0,c.parse_token)(o).session_id;n in i||(i[n]={});const e=i[n];return s in e||(e[s]=(0,c.pull_session)(n,o,t)),e[s]}(n,o,l)}catch(n){const t=(0,c.parse_token)(o).session_id;throw r.logger.error(`Failed to load Bokeh session ${t}: ${n}`),n}return(0,a.add_document_standalone)(d.document,t,s,e)}},\n", " function _(e,s,n,t,o){t();const r=e(19),i=e(5),c=e(401),l=e(402),_=e(403);n.DEFAULT_SERVER_WEBSOCKET_URL=\"ws://localhost:5006/ws\",n.DEFAULT_TOKEN=\"eyJzZXNzaW9uX2lkIjogImRlZmF1bHQifQ\";let h=0;function a(e){let s=e.split(\".\")[0];const n=s.length%4;return 0!=n&&(s+=\"=\".repeat(4-n)),JSON.parse(atob(s.replace(/_/g,\"/\").replace(/-/g,\"+\")))}n.parse_token=a;class d{constructor(e=n.DEFAULT_SERVER_WEBSOCKET_URL,s=n.DEFAULT_TOKEN,t=null){this.url=e,this.token=s,this.args_string=t,this._number=h++,this.socket=null,this.session=null,this.closed_permanently=!1,this._current_handler=null,this._pending_replies=new Map,this._pending_messages=[],this._receiver=new l.Receiver,this.id=a(s).session_id.split(\".\")[0],r.logger.debug(`Creating websocket ${this._number} to '${this.url}' session '${this.id}'`)}async connect(){if(this.closed_permanently)throw new Error(\"Cannot connect() a closed ClientConnection\");if(null!=this.socket)throw new Error(\"Already connected\");this._current_handler=null,this._pending_replies.clear(),this._pending_messages=[];try{let e=`${this.url}`;return null!=this.args_string&&this.args_string.length>0&&(e+=`?${this.args_string}`),this.socket=new WebSocket(e,[\"bokeh\",this.token]),new Promise(((e,s)=>{this.socket.binaryType=\"arraybuffer\",this.socket.onopen=()=>this._on_open(e,s),this.socket.onmessage=e=>this._on_message(e),this.socket.onclose=e=>this._on_close(e,s),this.socket.onerror=()=>this._on_error(s)}))}catch(e){throw r.logger.error(`websocket creation failed to url: ${this.url}`),r.logger.error(` - ${e}`),e}}close(){this.closed_permanently||(r.logger.debug(`Permanently closing websocket connection ${this._number}`),this.closed_permanently=!0,null!=this.socket&&this.socket.close(1e3,`close method called on ClientConnection ${this._number}`),this.session._connection_closed())}_schedule_reconnect(e){setTimeout((()=>{this.closed_permanently||r.logger.info(`Websocket connection ${this._number} disconnected, will not attempt to reconnect`)}),e)}send(e){if(null==this.socket)throw new Error(`not connected so cannot send ${e}`);e.send(this.socket)}async send_with_reply(e){const s=await new Promise(((s,n)=>{this._pending_replies.set(e.msgid(),{resolve:s,reject:n}),this.send(e)}));if(\"ERROR\"===s.msgtype())throw new Error(`Error reply ${s.content.text}`);return s}async _pull_doc_json(){const e=c.Message.create(\"PULL-DOC-REQ\",{}),s=await this.send_with_reply(e);if(!(\"doc\"in s.content))throw new Error(\"No 'doc' field in PULL-DOC-REPLY\");return s.content.doc}async _repull_session_doc(e,s){var n;r.logger.debug(this.session?\"Repulling session\":\"Pulling session for first time\");try{const n=await this._pull_doc_json();if(null==this.session)if(this.closed_permanently)r.logger.debug(\"Got new document after connection was already closed\"),s(new Error(\"The connection has been closed\"));else{const s=i.Document.from_json(n),t=i.Document._compute_patch_since_json(n,s);if(t.events.length>0){r.logger.debug(`Sending ${t.events.length} changes from model construction back to server`);const e=c.Message.create(\"PATCH-DOC\",{},t);this.send(e)}this.session=new _.ClientSession(this,s,this.id);for(const e of this._pending_messages)this.session.handle(e);this._pending_messages=[],r.logger.debug(\"Created a new session from new pulled doc\"),e(this.session)}else this.session.document.replace_with_json(n),r.logger.debug(\"Updated existing session with new pulled doc\")}catch(e){null===(n=console.trace)||void 0===n||n.call(console,e),r.logger.error(`Failed to repull session ${e}`),s(e instanceof Error?e:`${e}`)}}_on_open(e,s){r.logger.info(`Websocket connection ${this._number} is now 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this.request_server_info()}_document_changed(e){if(e.setter_id===this.id)return;const t=e instanceof c.DocumentEventBatch?e.events:[e],n=this.document.create_json_patch(t),s=i.Message.create(\"PATCH-DOC\",{},n);this._connection.send(s)}_handle_patch(e){this.document.apply_json_patch(e.content,e.buffers,this.id)}_handle_ok(e){_.logger.trace(`Unhandled OK reply to ${e.reqid()}`)}_handle_error(e){_.logger.error(`Unhandled ERROR reply to ${e.reqid()}: ${e.content.text}`)}}n.ClientSession=r,r.__name__=\"ClientSession\"},\n", " function _(e,o,t,n,r){n();const s=e(1),l=e(5),i=e(402),a=e(19),c=e(43),g=e(13),f=e(397),u=e(398),m=(0,s.__importDefault)(e(44)),p=(0,s.__importDefault)(e(240)),d=(0,s.__importDefault)(e(405));function _(e,o){o.buffers.length>0?e.consume(o.buffers[0].buffer):e.consume(o.content.data);const t=e.message;null!=t&&this.apply_json_patch(t.content,t.buffers)}function b(e,o){if(\"undefined\"!=typeof Jupyter&&null!=Jupyter.notebook.kernel){a.logger.info(`Registering Jupyter 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In an exported notebook this warning is expected.\")}c.stylesheet.append(m.default),c.stylesheet.append(p.default),c.stylesheet.append(d.default),t.kernels={},t.embed_items_notebook=function(e,o){if(1!=(0,g.size)(e))throw new Error(\"embed_items_notebook expects exactly one document in docs_json\");const t=l.Document.from_json((0,g.values)(e)[0]);for(const e of o){null!=e.notebook_comms_target&&b(e.notebook_comms_target,t);const o=(0,u._resolve_element)(e),n=(0,u._resolve_root_elements)(e);(0,f.add_document_standalone)(t,o,n)}}},\n", " function _(t,o,r,e,d){e(),r.root=\"bk-root\",r.tooltip=\"bk-tooltip\",r.default=\".rendered_html .bk-root .bk-tooltip table,.rendered_html .bk-root .bk-tooltip tr,.rendered_html .bk-root .bk-tooltip th,.rendered_html .bk-root .bk-tooltip td{border:none;padding:1px;}\"},\n", " function _(t,_,o,r,n){r();const a=t(1);(0,a.__exportStar)(t(401),o),(0,a.__exportStar)(t(402),o)},\n", " function _(e,t,n,s,o){function l(){const 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t.def(e.shared.vao+\".currentVAO?\"+e.shared.vao+\".currentVAO.instances:-1\")}));return null}var d=l(hr,!0),m=function(){if(mr in r){var e=r[mr];return a.primitive=e,_.commandParameter(e,ie,\"invalid primitve\",t.commandStr),an((function(t,r){return ie[e]}))}if(mr in n){var o=n[mr];return on(o,(function(e,t){var r=e.constants.primTypes,n=e.invoke(t,o);return _.optional((function(){e.assert(t,n+\" in \"+r,\"invalid primitive, must be one of \"+Object.keys(ie))})),t.def(r,\"[\",n,\"]\")}))}return u?nn(s)?s.value?an((function(e,t){return t.def(e.ELEMENTS,\".primType\")})):an((function(){return 4})):new rn(s.thisDep,s.contextDep,s.propDep,(function(e,t){var r=e.ELEMENTS;return t.def(r,\"?\",r,\".primType:\",4)})):i?new rn(f.thisDep,f.contextDep,f.propDep,(function(e,t){return t.def(e.shared.vao+\".currentVAO?\"+e.shared.vao+\".currentVAO.primitive:4\")})):null}(),p=function(){if(pr in r){var e=0|r[pr];return a.count=e,_.command(\"number\"==typeof e&&e>=0,\"invalid vertex 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t.def(e.shared.vao,\".currentVAO?\",e.shared.vao,\".currentVAO.count:-1\")}));return m}return null}(),h=l(br,!1);return{elements:s,primitive:m,count:p,instances:h,offset:d,vao:f,vaoActive:i,elementsActive:u,static:a}}(e,d),A=function(e,t){var r=e.static,n=e.dynamic,i={};return k.forEach((function(e){var o=E(e);function f(t,a){if(e in r){var f=t(r[e]);i[o]=an((function(){return f}))}else if(e in n){var u=n[e];i[o]=on(u,(function(e,t){return a(e,t,e.invoke(t,u))}))}}switch(e){case Nt:case It:case Vt:case er:case Mt:case ir:case Xt:case Kt:case Jt:case Gt:return f((function(r){return _.commandType(r,\"boolean\",e,t.commandStr),r}),(function(t,r,n){return _.optional((function(){t.assert(r,\"typeof \"+n+'===\"boolean\"',\"invalid flag \"+e,t.commandStr)})),n}));case Wt:return f((function(r){return _.commandParameter(r,$r,\"invalid \"+e,t.commandStr),$r[r]}),(function(t,r,n){var a=t.constants.compareFuncs;return _.optional((function(){t.assert(r,n+\" in \"+a,\"invalid \"+e+\", must be one of 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\"+e,t.commandStr),[v[r],v[r]]):\"object\"==typeof r?(_.commandParameter(r.rgb,v,e+\".rgb\",t.commandStr),_.commandParameter(r.alpha,v,e+\".alpha\",t.commandStr),[v[r.rgb],v[r.alpha]]):void _.commandRaise(\"invalid blend.equation\",t.commandStr)}),(function(t,r,n){var a=t.constants.blendEquations,i=r.def(),o=r.def(),f=t.cond(\"typeof \",n,'===\"string\"');return _.optional((function(){function r(e,r,n){t.assert(e,n+\" in \"+a,\"invalid \"+r+\", must be one of \"+Object.keys(v))}r(f.then,e,n),t.assert(f.else,n+\"&&typeof \"+n+'===\"object\"',\"invalid \"+e),r(f.else,e+\".rgb\",n+\".rgb\"),r(f.else,e+\".alpha\",n+\".alpha\")})),f.then(i,\"=\",o,\"=\",a,\"[\",n,\"];\"),f.else(i,\"=\",a,\"[\",n,\".rgb];\",o,\"=\",a,\"[\",n,\".alpha];\"),r(f),[i,o]}));case Pt:return f((function(e){return _.command(me(e)&&4===e.length,\"blend.color must be a 4d array\",t.commandStr),V(4,(function(t){return+e[t]}))}),(function(e,t,r){return _.optional((function(){e.assert(t,e.shared.isArrayLike+\"(\"+r+\")&&\"+r+\".length===4\",\"blend.color must be a 4d array\")})),V(4,(function(e){return t.def(\"+\",r,\"[\",e,\"]\")}))}));case tr:return f((function(e){return _.commandType(e,\"number\",o,t.commandStr),0|e}),(function(e,t,r){return _.optional((function(){e.assert(t,\"typeof \"+r+'===\"number\"',\"invalid stencil.mask\")})),t.def(r,\"|0\")}));case rr:return f((function(r){_.commandType(r,\"object\",o,t.commandStr);var n=r.cmp||\"keep\",a=r.ref||0,i=\"mask\"in r?r.mask:-1;return _.commandParameter(n,$r,e+\".cmp\",t.commandStr),_.commandType(a,\"number\",e+\".ref\",t.commandStr),_.commandType(i,\"number\",e+\".mask\",t.commandStr),[$r[n],a,i]}),(function(e,t,r){var n=e.constants.compareFuncs;return _.optional((function(){function a(){e.assert(t,Array.prototype.join.call(arguments,\"\"),\"invalid stencil.func\")}a(r+\"&&typeof \",r,'===\"object\"'),a('!(\"cmp\" in ',r,\")||(\",r,\".cmp in \",n,\")\")})),[t.def('\"cmp\" in 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_.commandType(r,\"number\",o+\".factor\",t.commandStr),_.commandType(n,\"number\",o+\".units\",t.commandStr),[r,n]}),(function(t,r,n){return _.optional((function(){t.assert(r,n+\"&&typeof \"+n+'===\"object\"',\"invalid \"+e)})),[r.def(n,\".factor|0\"),r.def(n,\".units|0\")]}));case qt:return f((function(e){var r=0;return\"front\"===e?r=Hr:\"back\"===e&&(r=Nr),_.command(!!r,o,t.commandStr),r}),(function(e,t,r){return _.optional((function(){e.assert(t,r+'===\"front\"||'+r+'===\"back\"',\"invalid cull.face\")})),t.def(r,'===\"front\"?',Hr,\":\",Nr)}));case Yt:return f((function(e){return _.command(\"number\"==typeof e&&e>=a.lineWidthDims[0]&&e<=a.lineWidthDims[1],\"invalid line width, must be a positive number between \"+a.lineWidthDims[0]+\" and \"+a.lineWidthDims[1],t.commandStr),e}),(function(e,t,r){return _.optional((function(){e.assert(t,\"typeof \"+r+'===\"number\"&&'+r+\">=\"+a.lineWidthDims[0]+\"&&\"+r+\"<=\"+a.lineWidthDims[1],\"invalid line width\")})),r}));case Qt:return f((function(e){return _.commandParameter(e,Zr,o,t.commandStr),Zr[e]}),(function(e,t,r){return _.optional((function(){e.assert(t,r+'===\"cw\"||'+r+'===\"ccw\"',\"invalid frontFace, must be one of cw,ccw\")})),t.def(r+'===\"cw\"?2304:'+qr)}));case Ht:return f((function(e){return _.command(me(e)&&4===e.length,\"color.mask must be length 4 array\",t.commandStr),e.map((function(e){return!!e}))}),(function(e,t,r){return _.optional((function(){e.assert(t,e.shared.isArrayLike+\"(\"+r+\")&&\"+r+\".length===4\",\"invalid color.mask\")})),V(4,(function(e){return\"!!\"+r+\"[\"+e+\"]\"}))}));case Zt:return f((function(e){_.command(\"object\"==typeof e&&e,o,t.commandStr);var r=\"value\"in e?e.value:1,n=!!e.invert;return _.command(\"number\"==typeof r&&r>=0&&r<=1,\"sample.coverage.value must be a number between 0 and 1\",t.commandStr),[r,n]}),(function(e,t,r){return _.optional((function(){e.assert(t,r+\"&&typeof \"+r+'===\"object\"',\"invalid sample.coverage\")})),[t.def('\"value\" in 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t=x[e];t&&(A[e]=t)}O(fr),O(E(or));var T=Object.keys(A).length>0,D={framebuffer:y,draw:w,shader:S,state:A,dirty:T,scopeVAO:null,drawVAO:null,useVAO:!1,attributes:{}};if(D.profile=function(e){var t,r=e.static,n=e.dynamic;if(ur in r){var a=!!r[ur];(t=an((function(e,t){return a}))).enable=a}else if(ur in n){var i=n[ur];t=on(i,(function(e,t){return e.invoke(t,i)}))}return t}(e),D.uniforms=function(e,t){var r=e.static,n=e.dynamic,a={};return Object.keys(r).forEach((function(e){var n,i=r[e];if(\"number\"==typeof i||\"boolean\"==typeof i)n=an((function(){return i}));else if(\"function\"==typeof i){var o=i._reglType;\"texture2d\"===o||\"textureCube\"===o?n=an((function(e){return e.link(i)})):\"framebuffer\"===o||\"framebufferCube\"===o?(_.command(i.color.length>0,'missing color attachment for framebuffer sent to uniform \"'+e+'\"',t.commandStr),n=an((function(e){return e.link(i.color[0])}))):_.commandRaise('invalid data for uniform \"'+e+'\"',t.commandStr)}else me(i)?n=an((function(t){return 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takes an object as input\"),\"framebuffer\"in e)if(e.framebuffer&&\"framebufferCube\"===e.framebuffer_reglType)for(var r=0;r<6;++r)he(t({framebuffer:e.framebuffer.faces[r]},e),be);else he(e,be);else be(0,e)},prop:D.define.bind(null,1),context:D.define.bind(null,2),this:D.define.bind(null,3),draw:pe({}),buffer:function(e){return x.create(e,34962,!1,!1)},elements:function(e){return w.create(e,!1)},texture:S.create2D,cube:S.createCube,renderbuffer:O.create,framebuffer:E.create,framebufferCube:E.createCube,vao:A.createVAO,attributes:i,frame:ve,on:function(e,t){var r;switch(_.type(t,\"function\",\"listener callback must be a function\"),e){case\"frame\":return ve(t);case\"lost\":r=P;break;case\"restore\":r=N;break;case\"destroy\":r=q;break;default:_.raise(\"invalid event, must be one of frame,lost,restore,destroy\")}return r.push(t),{cancel:function(){for(var e=0;e=0},read:z,destroy:function(){I.length=0,le(),V&&(V.removeEventListener(cn,de),V.removeEventListener(ln,me)),k.clear(),E.clear(),O.clear(),A.clear(),S.clear(),w.clear(),x.clear(),m&&m.clear(),q.forEach((function(e){e()}))},_gl:a,_refresh:xe,poll:function(){ye(),m&&m.update()},now:we,stats:l});return n.onDone(null,Ae),Ae}},\"object\"==typeof r&&void 0!==t?t.exports=o():\"function\"==typeof define&&define.amd?define(o):i.createREGL=o()},\n", " 413: function _(t,e,s,a,r){a();const n=t(414),_=t(12);class o{constructor(t){this._regl=t,this._map=new Map}_create_texture(t){const e=t.length;let s=0;const a=[];let r=0,_=0;for(let n=0;nc[f+1]&&f++;const a=t[f],n=c[f]+.5*a;let o=.5*a-Math.abs(s-n);f%2==1&&(o=-o),m[e]=Math.round(255*(o-r)/(_-r))}return[[s,u,r,_],this._regl.texture({shape:[l,1,1],data:m,wrapS:\"repeat\",format:\"alpha\",type:\"uint8\",mag:\"linear\",min:\"linear\"})]}_get_key(t){return t.join(\",\")}_get_or_create(t){const e=this._get_key(t);let s=this._map.get(e);if(null==s){const a=(0,n.gcd)(t);if(a>1){t=(0,_.map)(t,(t=>t/a)),s=this._get_or_create(t);const[r,n,o]=s;s=[r,n,a],this._map.set(e,s)}else{const[r,n]=this._create_texture(t);s=[r,n,a],this._map.set(e,s)}}return s}get(t){return t.length%2==1&&(t=t.slice(0,-1)),this._get_or_create(t)}}s.DashCache=o,o.__name__=\"DashCache\"},\n", " 414: function _(n,t,e,r,o){function u(n,t){let e,r;n>t?(e=n,r=t):(e=t,r=n);let o=e%r;for(;0!=o;)e=r,r=o,o=e%r;return r}r(),e.gcd=function(n){let t=n[0];for(let e=1;e u_miter_limit);\\n miter_too_large_end = (miter_factor_end > u_miter_limit);\\n }\\n\\n float sign_at_start = -sign(a_position.x); // +ve at segment start, -ve end.\\n vec2 point = sign_at_start > 0.0 ? a_point_start : a_point_end;\\n vec2 adjacent_point =\\n sign_at_start > 0.0 ? (has_start_cap ? a_point_start : a_point_prev)\\n : (has_end_cap ? a_point_end : a_point_next);\\n\\n if ( (has_start_cap && sign_at_start > 0.0) ||\\n (has_end_cap && sign_at_start < 0.0) ) {\\n // Cap.\\n xy = point - segment_right*(halfwidth*a_position.y);\\n if (cap_type == butt_cap)\\n xy -= sign_at_start*0.5*u_antialias*segment_along;\\n else\\n xy -= sign_at_start*halfwidth*segment_along;\\n }\\n else { // Join.\\n // +ve if turning to right, -ve if to left.\\n float turn_sign = sign_at_start > 0.0 ? turn_right_start : turn_right_end;\\n\\n vec2 adjacent_right = sign_at_start*normalize(right_vector(point - adjacent_point));\\n vec2 point_right = normalize(segment_right + adjacent_right);\\n float miter_factor = sign_at_start > 0.0 ? miter_factor_start : miter_factor_end;\\n bool miter_too_large = sign_at_start > 0.0 ? miter_too_large_start : miter_too_large_end;\\n\\n if (abs(a_position.x) > 1.5) {\\n // Outer point, meets prev/next segment.\\n float factor; // multiplied by halfwidth...\\n\\n if (join_type == bevel_join || (join_type == miter_join && miter_too_large))\\n factor = 1.0 / miter_factor; // cos_theta.\\n else if (join_type == round_join &&\\n miter_factor > min_miter_factor_round_join_mesh)\\n factor = 1.0;\\n else // miter, or round (small angle only).\\n factor = miter_factor;\\n\\n xy = point - point_right*(halfwidth*turn_sign*factor);\\n v_coords.y = turn_sign*halfwidth*factor / miter_factor;\\n }\\n else if (turn_sign*a_position.y < 0.0) {\\n // Inner point, meets prev/next segment.\\n float len = halfwidth*miter_factor;\\n float segment_len = v_segment_length;\\n float adjacent_len = distance(point, adjacent_point);\\n\\n if (len <= min(segment_len, adjacent_len))\\n // Normal behaviour.\\n xy = point - point_right*(len*a_position.y);\\n else\\n // For short wide line segments the inner point using the above\\n // calculation can be outside of the line. Here clipping it.\\n xy = point + segment_right*(halfwidth*turn_sign);\\n }\\n else {\\n // Point along outside edge.\\n xy = point - segment_right*(halfwidth*a_position.y);\\n if (join_type == round_join &&\\n miter_factor > min_miter_factor_round_join_mesh) {\\n xy = line_intersection(xy, segment_along,\\n point - turn_sign*point_right*halfwidth,\\n right_vector(point_right));\\n }\\n }\\n }\\n\\n vec2 pos = xy + 0.5; // Bokeh's offset.\\n pos /= u_canvas_size / u_pixel_ratio; // in 0..1\\n gl_Position = vec4(2.0*pos.x - 1.0, 1.0 - 2.0*pos.y, 0.0, 1.0);\\n\\n v_coords.x = dot(xy - a_point_start, segment_along);\\n v_flags = float(int(has_start_cap) +\\n 2*int(has_end_cap) +\\n 4*int(miter_too_large_start) +\\n 8*int(miter_too_large_end));\\n v_cos_theta_turn_right_start = cos_theta_start*turn_right_start;\\n v_cos_theta_turn_right_end = cos_theta_end*turn_right_end;\\n\\n#ifdef DASHED\\n v_length_so_far = a_length_so_far;\\n#endif\\n}\\n\"},\n", " 416: function _(n,t,a,i,e){i();a.default=\"\\nprecision mediump float;\\n\\nconst int butt_cap = 0;\\nconst int round_cap = 1;\\nconst int square_cap = 2;\\n\\nconst int miter_join = 0;\\nconst int round_join = 1;\\nconst int bevel_join = 2;\\n\\nuniform float u_linewidth;\\nuniform float u_antialias;\\nuniform float u_line_join;\\nuniform float u_line_cap;\\nuniform vec4 u_line_color;\\n#ifdef DASHED\\nuniform sampler2D u_dash_tex;\\nuniform vec4 u_dash_tex_info;\\nuniform float u_dash_scale;\\nuniform float u_dash_offset;\\n#endif\\n\\nvarying float v_segment_length;\\nvarying vec2 v_coords;\\nvarying float v_flags;\\nvarying float v_cos_theta_turn_right_start;\\nvarying float v_cos_theta_turn_right_end;\\n#ifdef DASHED\\nvarying float v_length_so_far;\\n#endif\\n\\nfloat cross_z(in vec2 v0, in vec2 v1)\\n{\\n return v0.x*v1.y - v0.y*v1.x;\\n}\\n\\nfloat point_line_side(in vec2 point, in vec2 start, in vec2 end)\\n{\\n // +ve if point to right of line.\\n // Alternatively could do dot product with right_vector.\\n return cross_z(point - start, end - start);\\n}\\n\\nfloat point_line_distance(in vec2 point, in vec2 start, in vec2 end)\\n{\\n return point_line_side(point, start, end) / distance(start, end);\\n}\\n\\nvec2 right_vector(in vec2 v)\\n{\\n return vec2(v.y, -v.x);\\n}\\n\\nfloat bevel_join_distance(in float sign_start, in float halfwidth)\\n{\\n float cos_theta_turn_right = sign_start > 0.0 ? v_cos_theta_turn_right_start\\n : v_cos_theta_turn_right_end;\\n float cos_theta = abs(cos_theta_turn_right);\\n float turn_right = sign(cos_theta_turn_right);\\n float distance_along = sign_start > 0.0 ? 0.0 : v_segment_length;\\n\\n // In v_coords reference frame (x is along segment, y across).\\n vec2 line_start = vec2(distance_along, halfwidth*turn_right);\\n float sin_alpha = cos_theta;\\n float cos_alpha = sqrt(1.0 - sin_alpha*sin_alpha);\\n vec2 line_along = vec2(-sign_start*turn_right*sin_alpha, -cos_alpha);\\n\\n return halfwidth + sign_start*point_line_distance(\\n v_coords, line_start, line_start+line_along);\\n}\\n\\nfloat cap(in int cap_type, in float x, in float y)\\n{\\n // x is distance along segment in direction away from end of segment,\\n // y is distance across segment.\\n if (cap_type == butt_cap)\\n return max(0.5*u_linewidth - x, abs(y));\\n else if (cap_type == square_cap)\\n return max(-x, abs(y));\\n else // cap_type == round_cap\\n return distance(vec2(min(x, 0.0), y), vec2(0.0, 0.0));\\n}\\n\\nfloat distance_to_alpha(in float dist)\\n{\\n return 1.0 - smoothstep(0.5*(u_linewidth - u_antialias),\\n 0.5*(u_linewidth + u_antialias), dist);\\n}\\n\\n#ifdef DASHED\\nfloat dash_distance(in float x)\\n{\\n // x is in direction of v_coords.x, i.e. along segment.\\n float tex_length = u_dash_tex_info.x;\\n float tex_offset = u_dash_tex_info.y;\\n float tex_dist_min = u_dash_tex_info.z;\\n float tex_dist_max = u_dash_tex_info.w;\\n\\n // Apply offset.\\n x += v_length_so_far - u_dash_scale*tex_offset + u_dash_offset;\\n\\n // Interpolate within texture to obtain distance to dash.\\n float dist = texture2D(u_dash_tex,\\n vec2(x / (tex_length*u_dash_scale), 0.0)).a;\\n\\n // Scale distance within min and max limits.\\n dist = tex_dist_min + dist*(tex_dist_max - tex_dist_min);\\n\\n return u_dash_scale*dist;\\n}\\n\\nmat2 rotation_matrix(in float sign_start)\\n{\\n // Rotation matrix for v_coords from this segment to prev or next segment.\\n float cos_theta_turn_right = sign_start > 0.0 ? v_cos_theta_turn_right_start\\n : v_cos_theta_turn_right_end;\\n float cos_theta = abs(cos_theta_turn_right);\\n float turn_right = sign(cos_theta_turn_right);\\n\\n float sin_theta = sqrt(1.0 - cos_theta*cos_theta)*sign_start*turn_right;\\n float cos_2theta = 2.0*cos_theta*cos_theta - 1.0;\\n float sin_2theta = 2.0*sin_theta*cos_theta;\\n return mat2(cos_2theta, -sin_2theta, sin_2theta, cos_2theta);\\n}\\n#endif\\n\\nvoid main()\\n{\\n int join_type = int(u_line_join + 0.5);\\n int cap_type = int(u_line_cap + 0.5);\\n float halfwidth = 0.5*(u_linewidth + u_antialias);\\n\\n // Extract flags.\\n int flags = int(v_flags + 0.5);\\n bool miter_too_large_end = (flags / 8 > 0);\\n flags -= 8*int(miter_too_large_end);\\n bool miter_too_large_start = (flags / 4 > 0);\\n flags -= 4*int(miter_too_large_start);\\n bool has_end_cap = (flags / 2 > 0);\\n flags -= 2*int(has_end_cap);\\n bool has_start_cap = flags > 0;\\n\\n float dist = v_coords.y; // For straight segment, and miter join.\\n\\n if (v_coords.x <= 0.5*u_antialias) {\\n // At start of segment, either cap or join.\\n if (has_start_cap)\\n dist = cap(cap_type, v_coords.x, v_coords.y);\\n else if (join_type == round_join)\\n dist = distance(v_coords, vec2(0.0, 0.0));\\n else if (join_type == bevel_join ||\\n (join_type == miter_join && miter_too_large_start))\\n dist = max(abs(dist), bevel_join_distance(1.0, halfwidth));\\n // else a miter join which uses the default dist calculation.\\n }\\n else if (v_coords.x >= v_segment_length - 0.5*u_antialias) {\\n // At end of segment, either cap or join.\\n if (has_end_cap)\\n dist = cap(cap_type, v_segment_length - v_coords.x, v_coords.y);\\n else if (join_type == round_join)\\n dist = distance(v_coords, vec2(v_segment_length, 0));\\n else if ((join_type == bevel_join ||\\n (join_type == miter_join && miter_too_large_end)))\\n dist = max(abs(dist), bevel_join_distance(-1.0, halfwidth));\\n // else a miter join which uses the default dist calculation.\\n }\\n\\n float alpha = distance_to_alpha(abs(dist));\\n\\n#ifdef DASHED\\n if (u_dash_tex_info.x >= 0.0) {\\n // Dashes in straight segments (outside of joins) are easily calculated.\\n dist = dash_distance(v_coords.x);\\n\\n if (!has_start_cap && cap_type == butt_cap) {\\n if (v_coords.x < 0.5*u_antialias) {\\n // Outer of start join rendered solid color or not at all\\n // depending on whether corner point is in dash or gap, with\\n // antialiased ends.\\n dist = (dash_distance(0.0) > 0.0 ? 0.5*u_antialias - v_coords.x\\n : -0.5*u_linewidth);\\n\\n // Also consider antialiased end of dash just outside corner.\\n float end_dist = dash_distance(0.5*u_antialias) + v_coords.x -\\n 0.5*u_antialias;\\n dist = max(dist, end_dist);\\n }\\n\\n vec2 prev_coords = rotation_matrix(1.0)*v_coords;\\n\\n if (abs(prev_coords.y) < halfwidth &&\\n prev_coords.x < 0.5*u_antialias) {\\n // Extend dashes across from previous segment, with antialiased\\n // end.\\n float new_dist = dash_distance(min(prev_coords.x,\\n -0.5*u_antialias));\\n\\n if (prev_coords.x > -0.5*u_antialias)\\n new_dist -= prev_coords.x + 0.5*u_antialias;\\n\\n new_dist = min(new_dist, 0.5*u_linewidth - abs(prev_coords.y));\\n dist = max(dist, new_dist);\\n }\\n }\\n\\n if (!has_end_cap && cap_type == butt_cap) {\\n if (v_coords.x > v_segment_length - 0.5*u_antialias) {\\n // Similar for end join.\\n dist = (dash_distance(v_segment_length) > 0.0\\n ? v_coords.x - v_segment_length + 0.5*u_antialias\\n : -0.5*u_linewidth);\\n\\n float end_dist =\\n dash_distance(v_segment_length - 0.5*u_antialias) -\\n v_coords.x + v_segment_length - 0.5*u_antialias;\\n dist = max(dist, end_dist);\\n }\\n\\n vec2 next_coords =\\n rotation_matrix(-1.0)*(v_coords - vec2(v_segment_length, 0.0));\\n\\n if (abs(next_coords.y) < halfwidth &&\\n next_coords.x > -0.5*u_antialias) {\\n // Extend dashes across from next segment, with antialiased end.\\n float new_dist = dash_distance(v_segment_length +\\n max(next_coords.x, 0.5*u_antialias));\\n\\n if (next_coords.x < 0.5*u_antialias)\\n new_dist += next_coords.x - 0.5*u_antialias;\\n\\n new_dist = min(new_dist, 0.5*u_linewidth - abs(next_coords.y));\\n dist = max(dist, new_dist);\\n }\\n }\\n\\n dist = cap(cap_type, dist, v_coords.y);\\n\\n float dash_alpha = distance_to_alpha(dist);\\n alpha = min(alpha, dash_alpha);\\n }\\n#endif\\n\\n alpha = u_line_color.a*alpha;\\n gl_FragColor = vec4(u_line_color.rgb*alpha, alpha); // Premultiplied alpha.\\n}\\n\"},\n", " 417: function _(n,i,o,a,t){a();o.default=\"\\nprecision mediump float;\\n\\nattribute vec2 a_position;\\nattribute vec2 a_center;\\nattribute float a_size;\\nattribute float a_angle; // in radians\\nattribute float a_linewidth;\\nattribute vec4 a_line_color;\\nattribute vec4 a_fill_color;\\nattribute float a_show;\\n\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size;\\nuniform float u_antialias;\\n\\nvarying float v_linewidth;\\nvarying float v_size;\\nvarying vec4 v_line_color;\\nvarying vec4 v_fill_color;\\nvarying vec2 v_coords;\\n\\nvoid main()\\n{\\n v_size = a_size;\\n v_linewidth = a_linewidth;\\n v_line_color = a_line_color;\\n v_fill_color = a_fill_color;\\n\\n if (a_show < 0.5) {\\n // Do not show this marker.\\n gl_Position = vec4(-2.0, -2.0, 0.0, 1.0);\\n return;\\n }\\n\\n float enclosing_size = v_size + 2.0*v_linewidth + 3.0*u_antialias;\\n\\n // Coordinates in rotated frame with respect to center of marker, used in\\n // distance functions in fragment shader.\\n v_coords = a_position*enclosing_size;\\n\\n float c = cos(-a_angle);\\n float s = sin(-a_angle);\\n mat2 rotation = mat2(c, -s, s, c);\\n\\n vec2 pos = a_center + rotation*v_coords;\\n pos += 0.5; // make up for Bokeh's offset\\n pos /= u_canvas_size / u_pixel_ratio; // in 0..1\\n gl_Position = vec4(2.0*pos.x - 1.0, 1.0 - 2.0*pos.y, 0.0, 1.0);\\n}\\n\"},\n", " 418: function _(n,a,e,t,s){t();e.default=\"\\nprecision mediump float;\\n\\nconst float SQRT_2 = 1.4142135623730951;\\nconst float SQRT_3 = sqrt(3.0);\\nconst float PI = 3.14159265358979323846264;\\n\\nconst float IN_ANGLE = 0.6283185307179586; // PI/5. = 36 degrees (star of 5 pikes)\\n//const float OUT_ANGLE = PI/2. - IN_ANGLE; // External angle for regular stars\\nconst float COS_A = 0.8090169943749475; // cos(IN_ANGLE)\\nconst float SIN_A = 0.5877852522924731; // sin(IN_ANGLE)\\nconst float COS_B = 0.5877852522924731; // cos(OUT_ANGLE)\\nconst float SIN_B = 0.8090169943749475; // sin(OUT_ANGLE)\\n\\nuniform float u_antialias;\\n\\nvarying vec4 v_line_color;\\nvarying vec4 v_fill_color;\\nvarying float v_linewidth;\\nvarying float v_size;\\nvarying vec2 v_coords;\\n\\n#ifdef USE_ASTERISK\\n// asterisk\\nfloat marker(vec2 P, float size)\\n{\\n // Masks\\n float diamond = max(abs(SQRT_2 / 2.0 * (P.x - P.y)), abs(SQRT_2 / 2.0 * (P.x + P.y))) - size / 2.0;\\n float square = max(abs(P.x), abs(P.y)) - size / 2.0;\\n // Shapes\\n float X = min(abs(P.x - P.y), abs(P.x + P.y));\\n float cross = min(abs(P.x), abs(P.y));\\n // Result is union of masked shapes\\n float result = min(max(X, diamond), max(cross, square));\\n return max(result - v_linewidth/2.0 + u_antialias/2.0, 0.0);\\n}\\n#endif\\n\\n#ifdef USE_CIRCLE\\n// circle\\nfloat marker(vec2 P, float size)\\n{\\n return length(P) - size/2.0;\\n}\\n#endif\\n\\n#ifdef USE_DOT\\nfloat marker(vec2 P, float size)\\n{\\n return max(length(P) - size/8.0 - v_linewidth/15.0 + u_antialias, 0.0);\\n}\\n#endif\\n\\n#ifdef USE_CIRCLE_DOT\\nfloat marker(vec2 P, float size)\\n{\\n float circle = length(P) - size/2.0;\\n float dot_ = min(size/8.0 + v_linewidth/15.0 - u_antialias - length(P), 0.0);\\n return max(circle, dot_);\\n}\\n#endif\\n\\n#ifdef USE_SQUARE\\n// square\\nfloat marker(vec2 P, float size)\\n{\\n return max(abs(P.x), abs(P.y)) - size/2.0;\\n}\\n#endif\\n\\n#ifdef USE_SQUARE_DOT\\nfloat marker(vec2 P, float size)\\n{\\n float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n float dot_ = min(size/8.0 + v_linewidth/15.0 - u_antialias - length(P), 0.0);\\n return max(square, dot_);\\n}\\n#endif\\n\\n#ifdef USE_DIAMOND\\n// diamond\\nfloat marker(vec2 P, float size)\\n{\\n float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n float r1 = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n return r1 / SQRT_2;\\n}\\n#endif\\n\\n#ifdef USE_DIAMOND_DOT\\nfloat marker(vec2 P, float size)\\n{\\n float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n float r1 = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n float diamond = r1 / SQRT_2;\\n float dot_ = min(size/8.0 + v_linewidth/15.0 - u_antialias - length(P), 0.0);\\n return max(diamond, dot_);\\n}\\n#endif\\n\\n#ifdef USE_HEX\\n// hex\\nfloat marker(vec2 P, float size)\\n{\\n vec2 q = abs(P);\\n return max(q.y * 0.57735 + q.x - 1.0 * size/2.0, q.y - 0.866 * size/2.0);\\n}\\n#endif\\n\\n#ifdef USE_HEX_DOT\\nfloat marker(vec2 P, float size)\\n{\\n vec2 q = abs(P);\\n float hex = max(q.y * 0.57735 + q.x - 1.0 * size/2.0, q.y - 0.866 * size/2.0);\\n float dot_ = min(size/8.0 + v_linewidth/15.0 - u_antialias - length(P), 0.0);\\n return max(hex, dot_);\\n}\\n#endif\\n\\n#ifdef USE_STAR\\n// star\\n// https://iquilezles.org/www/articles/distfunctions2d/distfunctions2d.htm\\nfloat marker(vec2 P, float size)\\n{\\n float bn = mod(atan(P.x, -P.y), 2.0*IN_ANGLE) - IN_ANGLE;\\n P = length(P)*vec2(cos(bn), abs(sin(bn)));\\n P -= size*vec2(COS_A, SIN_A)/2.;\\n P += vec2(COS_B, SIN_B)*clamp(-(P.x*COS_B + P.y*SIN_B), 0.0, size*SIN_A/SIN_B/2.);\\n return length(P)*sign(P.x);\\n}\\n#endif\\n\\n#ifdef USE_STAR_DOT\\nfloat marker(vec2 P, float size)\\n{\\n float dot_ = min(size/8.0 + v_linewidth/15.0 - u_antialias - length(P), 0.0);\\n float bn = mod(atan(P.x, -P.y), 2.0*IN_ANGLE) - IN_ANGLE;\\n P = length(P)*vec2(cos(bn), abs(sin(bn)));\\n P -= size*vec2(COS_A, SIN_A)/2.;\\n P += vec2(COS_B, SIN_B)*clamp(-(P.x*COS_B + P.y*SIN_B), 0.0, size*SIN_A/SIN_B/2.);\\n float star = length(P)*sign(P.x);\\n return max(star, dot_);\\n}\\n#endif\\n\\n#ifdef USE_TRIANGLE\\n// triangle\\nfloat marker(vec2 P, float size)\\n{\\n P.y -= size * 0.3;\\n float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n float r1 = max(abs(x), abs(y)) - size / 1.6;\\n float r2 = P.y;\\n return max(r1 / SQRT_2, r2); // Intersect diamond with rectangle\\n}\\n#endif\\n\\n#ifdef USE_TRIANGLE_DOT\\nfloat marker(vec2 P, float size)\\n{\\n float dot_ = min(size/8.0 + v_linewidth/15.0 - u_antialias - length(P), 0.0);\\n P.y -= size * 0.3;\\n float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n float r1 = max(abs(x), abs(y)) - size / 1.6;\\n float r2 = P.y;\\n float triangle = max(r1 / SQRT_2, r2); // Intersect diamond with rectangle\\n return max(triangle, dot_);\\n}\\n#endif\\n\\n#ifdef USE_INVERTED_TRIANGLE\\n// inverted_triangle\\nfloat marker(vec2 P, float size)\\n{\\n P.y += size * 0.3;\\n float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n float r1 = max(abs(x), abs(y)) - size / 1.6;\\n float r2 = - P.y;\\n return max(r1 / SQRT_2, r2); // Intersect diamond with rectangle\\n}\\n#endif\\n\\n#ifdef USE_CROSS\\n// cross\\nfloat marker(vec2 P, float size)\\n{\\n float square = max(abs(P.x), abs(P.y)) - size / 2.0;\\n float cross = min(abs(P.x), abs(P.y));\\n cross = max(cross - v_linewidth/2.0 + u_antialias/2.0, 0.0);\\n return max(square, cross);\\n}\\n#endif\\n\\n#ifdef USE_DASH\\nfloat marker(vec2 P, float size)\\n{\\n float square = max(abs(P.x), abs(P.y)) - size / 2.0;\\n float cross = abs(P.y);\\n cross = max(cross - v_linewidth/2.0 + u_antialias/2.0, 0.0);\\n return max(square, cross);\\n}\\n#endif\\n\\n#ifdef USE_CIRCLE_CROSS\\n// circle_cross\\nfloat marker(vec2 P, float size)\\n{\\n // Define quadrants\\n float qs = size / 2.0; // quadrant size\\n float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n // Intersect main shape with quadrants (to form cross)\\n float circle = length(P) - size/2.0;\\n float c1 = max(circle, s1);\\n float c2 = max(circle, s2);\\n float c3 = max(circle, s3);\\n float c4 = max(circle, s4);\\n // Union\\n return min(min(min(c1, c2), c3), c4);\\n}\\n#endif\\n\\n#ifdef USE_SQUARE_CROSS\\n// square_cross\\nfloat marker(vec2 P, float size)\\n{\\n // Define quadrants\\n float qs = size / 2.0; // quadrant size\\n float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n // Intersect main shape with quadrants (to form cross)\\n float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n float c1 = max(square, s1);\\n float c2 = max(square, s2);\\n float c3 = max(square, s3);\\n float c4 = max(square, s4);\\n // Union\\n return min(min(min(c1, c2), c3), c4);\\n}\\n#endif\\n\\n#ifdef USE_DIAMOND_CROSS\\n// diamond_cross\\nfloat marker(vec2 P, float size)\\n{\\n // Define quadrants\\n float qs = size / 2.0; // quadrant size\\n float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n // Intersect main shape with quadrants (to form cross)\\n float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n float diamond = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n diamond /= SQRT_2;\\n float c1 = max(diamond, s1);\\n float c2 = max(diamond, s2);\\n float c3 = max(diamond, s3);\\n float c4 = max(diamond, s4);\\n // Union\\n return min(min(min(c1, c2), c3), c4);\\n}\\n#endif\\n\\n#ifdef USE_X\\n// x\\nfloat marker(vec2 P, float size)\\n{\\n float circle = length(P) - size / 2.0;\\n float X = min(abs(P.x - P.y), abs(P.x + P.y));\\n X = max(X - v_linewidth/2.0, 0.0);\\n return max(circle, X);\\n}\\n#endif\\n\\n#ifdef USE_Y\\nfloat marker(vec2 P, float size)\\n{\\n float circle = length(P) - size / 2.0;\\n\\n float dx = 1.0 / SQRT_3;\\n float dy = SQRT_2 / SQRT_3;\\n\\n // Sideways distance from the three spokes.\\n float d0 = abs(P.x);\\n float d1 = abs(dot(P, vec2(dx, dy)));\\n float d2 = abs(dot(P, vec2(dx, -dy)));\\n\\n // Clip each spoke to semicircle.\\n d0 = max(d0, -P.y);\\n d1 = max(d1, dot(P, vec2(-dy, dx)));\\n d2 = max(d2, dot(P, vec2(dy, dx)));\\n\\n float Y = min(min(d0, d1), d2);\\n Y = max(Y - v_linewidth/2.0 + u_antialias/2.0, 0.0);\\n return max(circle, Y);\\n}\\n#endif\\n\\n#ifdef USE_CIRCLE_X\\n// circle_x\\nfloat marker(vec2 P, float size)\\n{\\n float x = P.x - P.y;\\n float y = P.x + P.y;\\n // Define quadrants\\n float qs = size / 2.0; // quadrant size\\n float s1 = max(abs(x - qs), abs(y - qs)) - qs;\\n float s2 = max(abs(x + qs), abs(y - qs)) - qs;\\n float s3 = max(abs(x - qs), abs(y + qs)) - qs;\\n float s4 = max(abs(x + qs), abs(y + qs)) - qs;\\n // Intersect main shape with quadrants (to form cross)\\n float circle = length(P) - size/2.0;\\n float c1 = max(circle, s1);\\n float c2 = max(circle, s2);\\n float c3 = max(circle, s3);\\n float c4 = max(circle, s4);\\n // Union\\n return min(min(min(c1, c2), c3), c4);\\n}\\n#endif\\n\\n#ifdef USE_CIRCLE_Y\\nfloat marker(vec2 P, float size)\\n{\\n float circle = length(P) - size/2.0;\\n\\n float dx = 1.0 / SQRT_3;\\n float dy = SQRT_2 / SQRT_3;\\n\\n // Sideways distance from the three spokes.\\n float d0 = abs(P.x);\\n float d1 = abs(dot(P, vec2(dx, dy)));\\n float d2 = abs(dot(P, vec2(dx, -dy)));\\n\\n // Clip each spoke to semicircle.\\n d0 = max(d0, -P.y);\\n d1 = max(d1, dot(P, vec2(-dy, dx)));\\n d2 = max(d2, dot(P, vec2(dy, dx)));\\n\\n float Y = min(min(d0, d1), d2);\\n Y = min(v_linewidth/2.0 - u_antialias/2.0 - Y, 0.0);\\n\\n return max(circle, Y);\\n}\\n#endif\\n\\n#ifdef USE_SQUARE_X\\n// square_x\\nfloat marker(vec2 P, float size)\\n{\\n float x = P.x - P.y;\\n float y = P.x + P.y;\\n // Define quadrants\\n float qs = size / 2.0; // quadrant size\\n float s1 = max(abs(x - qs), abs(y - qs)) - qs;\\n float s2 = max(abs(x + qs), abs(y - qs)) - qs;\\n float s3 = max(abs(x - qs), abs(y + qs)) - qs;\\n float s4 = max(abs(x + qs), abs(y + qs)) - qs;\\n // Intersect main shape with quadrants (to form cross)\\n float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n float c1 = max(square, s1);\\n float c2 = max(square, s2);\\n float c3 = max(square, s3);\\n float c4 = max(square, s4);\\n // Union\\n return min(min(min(c1, c2), c3), c4);\\n}\\n#endif\\n\\n#ifdef USE_PLUS\\nfloat marker(vec2 P, float size)\\n{\\n vec2 size2 = vec2(size*0.5, size*0.2);\\n P = abs(P);\\n P = (P.y > P.x) ? P.yx : P.xy;\\n vec2 q = P - size2;\\n float k = max(q.y, q.x);\\n vec2 w = (k > 0.0) ? q : vec2(size2.y - P.x, -k);\\n return sign(k)*length(max(w, 0.0));\\n}\\n#endif\\n\\n#ifdef USE_SQUARE_PIN\\nfloat marker(vec2 P, float size)\\n{\\n float actual_size = size*1.2;\\n float radius = 0.75*actual_size; // Radius of curvature of edges.\\n float offset = actual_size/2.0 + sqrt(radius*radius - actual_size*actual_size/4.0);\\n vec2 centerx = vec2(offset, 0.0);\\n vec2 centery = vec2(0.0, offset);\\n\\n float right = length(P - centerx);\\n float left = length(P + centerx);\\n float up = length(P - centery);\\n float down = length(P + centery);\\n float pin = radius - min(min(right, left), min(up, down));\\n\\n float circle = length(P) - actual_size*0.6;\\n return max(circle, pin);\\n}\\n#endif\\n\\n#ifdef USE_TRIANGLE_PIN\\nfloat marker(vec2 P, float size)\\n{\\n float actual_size = size*1.2;\\n float radius = 1.2*actual_size; // Radius of curvature of edges.\\n\\n float angle = 2.0*PI / 3.0;\\n float c = cos(angle);\\n float s = sin(angle);\\n mat2 rotation = mat2(c, -s, s, c);\\n\\n // Half the length of straight triangle edge.\\n float half_edge = actual_size*SQRT_3/4.0;\\n // Distance from center of triangle to middle of straight edge.\\n float centre_middle_edge = 0.25*actual_size;\\n float offset = centre_middle_edge + sqrt(radius*radius - half_edge*half_edge);\\n // Centre of curvature.\\n vec2 center = vec2(0.0, offset);\\n\\n float dist0 = length(P - center);\\n P = rotation*P;\\n float dist1 = length(P - center);\\n P = rotation*P;\\n float dist2 = length(P - center);\\n float pin = radius - min(min(dist0, dist1), dist2);\\n\\n float circle = length(P) - actual_size / 2.0;\\n return max(circle, pin);\\n}\\n#endif\\n\\nvec4 outline(float distance, float linewidth, float antialias, vec4 line_color,\\n vec4 fill_color)\\n{\\n vec4 frag_color;\\n float t = min(linewidth/2.0 - antialias, 0.0); // Line half-width.\\n float signed_distance = distance;\\n float border_distance = abs(signed_distance) - t;\\n float alpha = border_distance/antialias;\\n alpha = exp(-alpha*alpha);\\n\\n // If line alpha is zero, it probably means no outline. To avoid a dark\\n // outline shining through due to antialiasing, we set the line color to the\\n // fill color.\\n float select = float(bool(line_color.a));\\n line_color.rgb = select*line_color.rgb + (1.0 - select)*fill_color.rgb;\\n // Similarly, if we want a transparent fill.\\n select = float(bool(fill_color.a));\\n fill_color.rgb = select*fill_color.rgb + (1.0 - select)*line_color.rgb;\\n\\n if (border_distance < 0.0)\\n frag_color = line_color;\\n else if (signed_distance < 0.0)\\n frag_color = mix(fill_color, line_color, sqrt(alpha));\\n else {\\n if (abs(signed_distance) < linewidth/2.0 + antialias)\\n frag_color = vec4(line_color.rgb, line_color.a*alpha);\\n else\\n discard;\\n }\\n return frag_color;\\n}\\n\\nvoid main()\\n{\\n float distance = marker(v_coords, v_size);\\n gl_FragColor = outline(\\n distance, v_linewidth, u_antialias, v_line_color, v_fill_color);\\n gl_FragColor.rgb *= gl_FragColor.a; // Premultiplied alpha.\\n}\\n\"},\n", " 419: function _(n,t,a,i,e){i();a.default=\"\\nprecision mediump float;\\n\\nattribute vec2 a_position;\\nattribute vec2 a_center;\\nattribute float a_width;\\nattribute float a_height;\\nattribute float a_angle; // In radians\\nattribute float a_linewidth;\\nattribute vec4 a_line_color;\\nattribute vec4 a_fill_color;\\nattribute float a_line_join;\\nattribute float a_show;\\n#ifdef HATCH\\nattribute float a_hatch_pattern;\\nattribute float a_hatch_scale;\\nattribute float a_hatch_weight;\\nattribute vec4 a_hatch_color;\\n#endif\\n\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size;\\nuniform float u_antialias;\\n\\nvarying float v_linewidth;\\nvarying vec2 v_size; // 2D size for rects compared to 1D for markers.\\nvarying vec4 v_line_color;\\nvarying vec4 v_fill_color;\\nvarying float v_line_join;\\nvarying vec2 v_coords;\\n#ifdef HATCH\\nvarying float v_hatch_pattern;\\nvarying float v_hatch_scale;\\nvarying float v_hatch_weight;\\nvarying vec4 v_hatch_color;\\nvarying vec2 v_hatch_coords;\\n#endif\\n\\nvoid main()\\n{\\n if (a_show < 0.5) {\\n // Do not show this rect.\\n gl_Position = vec4(-2.0, -2.0, 0.0, 1.0);\\n return;\\n }\\n\\n v_size = vec2(a_width, a_height);\\n v_linewidth = a_linewidth;\\n v_line_color = a_line_color;\\n v_fill_color = a_fill_color;\\n v_line_join = a_line_join;\\n\\n if (v_linewidth < 1.0) {\\n // Linewidth less than 1 is implemented as 1 but with reduced alpha.\\n v_line_color.a *= v_linewidth;\\n v_linewidth = 1.0;\\n }\\n\\n#ifdef HATCH\\n v_hatch_pattern = a_hatch_pattern;\\n v_hatch_scale = a_hatch_scale;\\n v_hatch_weight = a_hatch_weight;\\n v_hatch_color = a_hatch_color;\\n#endif\\n\\n vec2 enclosing_size = v_size + v_linewidth + u_antialias;\\n\\n // Coordinates in rotated frame with respect to center of marker, used for\\n // distance functions in fragment shader.\\n v_coords = a_position*enclosing_size;\\n\\n float c = cos(-a_angle);\\n float s = sin(-a_angle);\\n mat2 rotation = mat2(c, -s, s, c);\\n\\n vec2 pos = a_center + rotation*v_coords;\\n#ifdef HATCH\\n // Coordinates for hatching in unrotated frame of reference.\\n v_hatch_coords = pos - 0.5;\\n#endif\\n pos += 0.5; // Make up for Bokeh's offset.\\n pos /= u_canvas_size / u_pixel_ratio; // 0 to 1.\\n gl_Position = vec4(2.0*pos.x - 1.0, 1.0 - 2.0*pos.y, 0.0, 1.0);\\n}\\n\"},\n", " 420: function _(n,a,t,o,r){o();t.default=\"\\nprecision mediump float;\\n\\nconst float SQRT2 = sqrt(2.0);\\nconst float INVSQRT2 = 1.0/SQRT2;\\nconst float PI = 3.14159265358979323846;\\n\\nconst int miter_join = 0;\\nconst int round_join = 1;\\nconst int bevel_join = 2;\\n#ifdef HATCH\\nconst int hatch_dot = 1;\\nconst int hatch_ring = 2;\\nconst int hatch_horizontal_line = 3;\\nconst int hatch_vertical_line = 4;\\nconst int hatch_cross = 5;\\nconst int hatch_horizontal_dash = 6;\\nconst int hatch_vertical_dash = 7;\\nconst int hatch_spiral = 8;\\nconst int hatch_right_diagonal_line = 9;\\nconst int hatch_left_diagonal_line = 10;\\nconst int hatch_diagonal_cross = 11;\\nconst int hatch_right_diagonal_dash = 12;\\nconst int hatch_left_diagonal_dash = 13;\\nconst int hatch_horizontal_wave = 14;\\nconst int hatch_vertical_wave = 15;\\nconst int hatch_criss_cross = 16;\\n#endif\\n\\nuniform float u_antialias;\\n\\nvarying float v_linewidth;\\nvarying vec2 v_size;\\nvarying vec4 v_line_color;\\nvarying vec4 v_fill_color;\\nvarying float v_line_join;\\nvarying vec2 v_coords;\\n#ifdef HATCH\\nvarying float v_hatch_pattern;\\nvarying float v_hatch_scale;\\nvarying float v_hatch_weight;\\nvarying vec4 v_hatch_color;\\nvarying vec2 v_hatch_coords;\\n#endif\\n\\n// Distance is zero on edge of marker, +ve outside and -ve inside.\\nfloat marker_distance(vec2 p, int line_join)\\n{\\n vec2 dist2 = abs(p) - v_size/2.0;\\n float dist = max(dist2.x, dist2.y);\\n\\n if (dist2.x > 0.0 && dist2.y > 0.0) {\\n // Outside of corner needs correct join, default is miter.\\n if (line_join == round_join)\\n dist = length(dist2);\\n else if (line_join == bevel_join) {\\n vec2 normal = vec2(INVSQRT2, INVSQRT2);\\n dist = dot(dist2, normal) + 0.5*v_linewidth*(1.0 - INVSQRT2);\\n }\\n }\\n\\n return dist;\\n}\\n\\n// Convert distance from edge of marker to fraction in range 0 to 1, depending\\n// on antialiasing width.\\nfloat distance_to_fraction(float dist)\\n{\\n return 1.0 - smoothstep(-0.5*u_antialias, 0.5*u_antialias, dist);\\n}\\n\\n// Return fraction from 0 (no fill color) to 1 (full fill color).\\nfloat fill_fraction(float dist)\\n{\\n return distance_to_fraction(dist);\\n}\\n\\n// Return fraction in range 0 (no line color) to 1 (full line color).\\nfloat line_fraction(float dist)\\n{\\n return distance_to_fraction(abs(dist) - 0.5*v_linewidth);\\n}\\n\\n// Return fraction (in range 0 to 1) of a color, with premultiplied alpha.\\nvec4 fractional_color(vec4 color, float fraction)\\n{\\n color.a *= fraction;\\n color.rgb *= color.a;\\n return color;\\n}\\n\\n// Blend colors that have premultiplied alpha.\\nvec4 blend_colors(vec4 src, vec4 dest)\\n{\\n return (1.0 - src.a)*dest + src;\\n}\\n\\n#ifdef HATCH\\n// Wrap coordinate(s) by removing integer part to give distance from center of\\n// repeat, in the range -0.5 to +0.5.\\nfloat wrap(float x)\\n{\\n return fract(x) - 0.5;\\n}\\n\\nvec2 wrap(vec2 xy)\\n{\\n return fract(xy) - 0.5;\\n}\\n\\n// Return fraction from 0 (no hatch color) to 1 (full hatch color).\\nfloat hatch_fraction(vec2 coords, int hatch_pattern)\\n{\\n float scale = v_hatch_scale; // Hatch repeat distance.\\n\\n // Coordinates and linewidth/halfwidth are scaled to hatch repeat distance.\\n coords = coords / scale;\\n float halfwidth = 0.5*v_hatch_weight / scale; // Half the hatch linewidth.\\n\\n // Default is to return fraction of zero, i.e. no pattern.\\n float dist = u_antialias;\\n\\n if (hatch_pattern == hatch_dot) {\\n const float dot_radius = 0.25;\\n dist = length(wrap(coords)) - dot_radius;\\n }\\n else if (hatch_pattern == hatch_ring) {\\n const float ring_radius = 0.25;\\n dist = abs(length(wrap(coords)) - ring_radius) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_horizontal_line) {\\n dist = abs(wrap(coords.y)) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_vertical_line) {\\n dist = abs(wrap(coords.x)) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_cross) {\\n dist = min(abs(wrap(coords.x)), abs(wrap(coords.y))) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_horizontal_dash) {\\n // Dashes have square caps.\\n const float halflength = 0.25;\\n dist = max(abs(wrap(coords.y)),\\n abs(wrap(coords.x) + 0.25) - halflength) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_vertical_dash) {\\n const float halflength = 0.25;\\n dist = max(abs(wrap(coords.x)),\\n abs(wrap(coords.y) + 0.25) - halflength) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_spiral) {\\n vec2 wrap2 = wrap(coords);\\n float angle = wrap(atan(wrap2.y, wrap2.x) / (2.0*PI));\\n // Canvas spiral radius increases by scale*pi/15 each rotation.\\n const float dr = PI/15.0;\\n float radius = length(wrap2);\\n // At any angle, spiral lines are equally spaced dr apart.\\n // Find distance to nearest of these lines.\\n float frac = fract((radius - dr*angle) / dr); // 0 to 1.\\n dist = dr*(abs(frac - 0.5));\\n dist = min(dist, radius) - halfwidth; // Consider center point also.\\n }\\n else if (hatch_pattern == hatch_right_diagonal_line) {\\n dist = abs(wrap(2.0*coords.x + coords.y))/sqrt(5.0) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_left_diagonal_line) {\\n dist = abs(wrap(2.0*coords.x - coords.y))/sqrt(5.0) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_diagonal_cross) {\\n coords = vec2(coords.x + coords.y + 0.5, coords.x - coords.y + 0.5);\\n dist = min(abs(wrap(coords.x)), abs(wrap(coords.y))) / SQRT2 - halfwidth;\\n }\\n else if (hatch_pattern == hatch_right_diagonal_dash) {\\n float across = coords.x + coords.y + 0.5;\\n dist = abs(wrap(across)) / SQRT2; // Distance to nearest solid line.\\n\\n across = floor(across); // Offset for dash.\\n float along = wrap(0.5*(coords.x - coords.y + across));\\n const float halflength = 0.25;\\n along = abs(along) - halflength; // Distance along line.\\n\\n dist = max(dist, along) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_left_diagonal_dash) {\\n float across = coords.x - coords.y + 0.5;\\n dist = abs(wrap(across)) / SQRT2; // Distance to nearest solid line.\\n\\n across = floor(across); // Offset for dash.\\n float along = wrap(0.5*(coords.x + coords.y + across));\\n const float halflength = 0.25;\\n along = abs(along) - halflength; // Distance along line.\\n\\n dist = max(dist, along) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_horizontal_wave) {\\n float wrapx = wrap(coords.x);\\n float wrapy = wrap(coords.y - 0.25 + abs(wrapx));\\n dist = abs(wrapy) / SQRT2 - halfwidth;\\n }\\n else if (hatch_pattern == hatch_vertical_wave) {\\n float wrapy = wrap(coords.y);\\n float wrapx = wrap(coords.x - 0.25 + abs(wrapy));\\n dist = abs(wrapx) / SQRT2 - halfwidth;\\n }\\n else if (hatch_pattern == hatch_criss_cross) {\\n float plus = min(abs(wrap(coords.x)), abs(wrap(coords.y)));\\n\\n coords = vec2(coords.x + coords.y + 0.5, coords.x - coords.y + 0.5);\\n float X = min(abs(wrap(coords.x)), abs(wrap(coords.y))) / SQRT2;\\n\\n dist = min(plus, X) - halfwidth;\\n }\\n\\n return distance_to_fraction(dist*scale);\\n}\\n#endif\\n\\nvoid main()\\n{\\n int line_join = int(v_line_join + 0.5);\\n#ifdef HATCH\\n int hatch_pattern = int(v_hatch_pattern + 0.5);\\n#endif\\n\\n float dist = marker_distance(v_coords, line_join);\\n\\n float fill_frac = fill_fraction(dist);\\n vec4 color = fractional_color(v_fill_color, fill_frac);\\n\\n#ifdef HATCH\\n if (hatch_pattern > 0 && fill_frac > 0.0) {\\n float hatch_frac = hatch_fraction(v_hatch_coords, hatch_pattern);\\n vec4 hatch_color = fractional_color(v_hatch_color, hatch_frac*fill_frac);\\n color = blend_colors(hatch_color, color);\\n }\\n#endif\\n\\n float line_frac = line_fraction(dist);\\n if (line_frac > 0.0) {\\n vec4 line_color = fractional_color(v_line_color, line_frac);\\n color = blend_colors(line_color, color);\\n }\\n\\n gl_FragColor = color;\\n}\\n\"},\n", " 421: function _(s,i,t,e,_){e();const h=s(422),l=s(22),a=s(46),n=s(423),o=s(424),r=-1e4;class p extends h.BaseGLGlyph{constructor(s,i){super(s,i),this.glyph=i,this._antialias=1.5,this._miter_limit=5}draw(s,i,t){const e=i.glglyph;this.visuals_changed&&(this._set_visuals(),this.visuals_changed=!1),e.data_changed&&(e._set_data(),e.data_changed=!1);const _=this.glyph.visuals.line,h=n.cap_lookup[_.line_cap.value],l=n.join_lookup[_.line_join.value];if(this._is_dashed()){const s={scissor:this.regl_wrapper.scissor,viewport:this.regl_wrapper.viewport,canvas_size:[t.width,t.height],pixel_ratio:t.pixel_ratio,line_color:this._color,linewidth:this._linewidth,antialias:this._antialias,miter_limit:this._miter_limit,points:e._points,nsegments:e._nsegments,line_join:l,line_cap:h,length_so_far:e._length_so_far,dash_tex:this._dash_tex,dash_tex_info:this._dash_tex_info,dash_scale:this._dash_scale,dash_offset:this._dash_offset};this.regl_wrapper.dashed_line()(s)}else{const s={scissor:this.regl_wrapper.scissor,viewport:this.regl_wrapper.viewport,canvas_size:[t.width,t.height],pixel_ratio:t.pixel_ratio,line_color:this._color,linewidth:this._linewidth,antialias:this._antialias,miter_limit:this._miter_limit,points:e._points,nsegments:e._nsegments,line_join:l,line_cap:h};this.regl_wrapper.solid_line()(s)}}_is_dashed(){return this._line_dash.length>0}_set_data(){const s=this.glyph.sx.length;this._nsegments=s-1,null==this._is_closed&&(this._is_closed=this.glyph.sx[0]==this.glyph.sx[s-1]&&this.glyph.sy[0]==this.glyph.sy[s-1]&&isFinite(this.glyph.sx[0])&&isFinite(this.glyph.sy[0])),null==this._points&&(this._points=new o.Float32Buffer(this.regl_wrapper));const i=this._points.get_sized_array(2*(s+2));for(let t=1;t-9e3&&i[2*e+4]>-9e3&&(t+=Math.sqrt((i[2*e+4]-i[2*e+2])**2+(i[2*e+5]-i[2*e+3])**2));this._length_so_far.update()}}_set_visuals(){const s=this.glyph.visuals.line,i=(0,l.color2rgba)(s.line_color.value,s.line_alpha.value);this._color=i.map((s=>s/255)),this._linewidth=s.line_width.value,this._linewidth<1&&(this._color[3]*=this._linewidth,this._linewidth=1),this._line_dash=(0,a.resolve_line_dash)(s.line_dash.value),1==this._line_dash.length&&this._line_dash.push(this._line_dash[0]),this._is_dashed()&&([this._dash_tex_info,this._dash_tex,this._dash_scale]=this.regl_wrapper.get_dash(this._line_dash),this._dash_offset=s.line_dash_offset.value)}}t.LineGL=p,p.__name__=\"LineGL\"},\n", " 422: function _(e,t,s,i,h){i();class a{constructor(e,t){this.glyph=t,this.nvertices=0,this.size_changed=!1,this.data_changed=!1,this.visuals_changed=!1,this.regl_wrapper=e}set_data_changed(){const{data_size:e}=this.glyph;e!=this.nvertices&&(this.nvertices=e,this.size_changed=!0),this.data_changed=!0}set_visuals_changed(){this.visuals_changed=!0}render(e,t,s){if(0==t.length)return!0;const{width:i,height:h}=this.glyph.renderer.plot_view.canvas_view.webgl.canvas,a={pixel_ratio:this.glyph.renderer.plot_view.canvas_view.pixel_ratio,width:i,height:h};return this.draw(t,s,a),!0}}s.BaseGLGlyph=a,a.__name__=\"BaseGLGlyph\"},\n", " 423: function _(a,o,i,n,l){n();const t=a(52);i.cap_lookup={butt:0,round:1,square:2},i.join_lookup={miter:0,round:1,bevel:2};const _={blank:0,dot:1,ring:2,horizontal_line:3,vertical_line:4,cross:5,horizontal_dash:6,vertical_dash:7,spiral:8,right_diagonal_line:9,left_diagonal_line:10,diagonal_cross:11,right_diagonal_dash:12,left_diagonal_dash:13,horizontal_wave:14,vertical_wave:15,criss_cross:16};i.hatch_pattern_to_index=function(a){var o,i;return null!==(i=_[null!==(o=t.hatch_aliases[a])&&void 0!==o?o:a])&&void 0!==i?i:0}},\n", " 424: function _(r,t,a,e,s){e();const i=r(423),_=r(22);class n{constructor(r){this.regl_wrapper=r,this.is_scalar=!0}get_sized_array(r){return null!=this.array&&this.array.length==r||(this.array=this.new_array(r)),this.array}is_normalized(){return!1}get length(){return null!=this.array?this.array.length:0}set_from_array(r){const t=r.length,a=this.get_sized_array(t);for(let e=0;ethis.render()))}remove(){null!=this.icon_view&&this.icon_view.remove(),super.remove()}styles(){return[...super.styles(),d.default]}_render_button(...t){return(0,c.button)({type:\"button\",disabled:this.model.disabled,class:[h.btn,h[`btn_${this.model.button_type}`]]},...t)}render(){super.render(),this.button_el=this._render_button(this.model.label),this.button_el.addEventListener(\"click\",(()=>this.click())),null!=this.icon_view&&(\"\"!=this.model.label?(0,c.prepend)(this.button_el,this.icon_view.el,(0,c.nbsp)()):(0,c.prepend)(this.button_el,this.icon_view.el),this.icon_view.render()),this.group_el=(0,c.div)({class:h.btn_group},this.button_el),this.el.appendChild(this.group_el)}click(){}}n.AbstractButtonView=b,b.__name__=\"AbstractButtonView\";class p extends _.Control{constructor(t){super(t)}}n.AbstractButton=p,o=p,p.__name__=\"AbstractButton\",o.define((({String:t,Ref:e,Nullable:n})=>({label:[t,\"Button\"],icon:[n(e(a.AbstractIcon)),null],button_type:[r.ButtonType,\"default\"]})))},\n", " 439: function _(t,e,o,s,n){s();const i=t(508),l=t(43);class c extends i.WidgetView{connect_signals(){super.connect_signals();const t=this.model.properties;this.on_change(t.disabled,(()=>{for(const t of this.controls())(0,l.toggle_attribute)(t,\"disabled\",this.model.disabled)}))}}o.ControlView=c,c.__name__=\"ControlView\";class r extends i.Widget{constructor(t){super(t)}}o.Control=r,r.__name__=\"Control\"},\n", " 508: function _(i,e,t,n,o){var r;n();const s=i(312);class _ extends s.HTMLBoxView{get orientation(){return\"horizontal\"}get default_size(){return this.model.default_size}_width_policy(){return\"horizontal\"==this.orientation?super._width_policy():\"fixed\"}_height_policy(){return\"horizontal\"==this.orientation?\"fixed\":super._height_policy()}box_sizing(){const i=super.box_sizing();return\"horizontal\"==this.orientation?null==i.width&&(i.width=this.default_size):null==i.height&&(i.height=this.default_size),i}}t.WidgetView=_,_.__name__=\"WidgetView\";class h extends s.HTMLBox{constructor(i){super(i)}}t.Widget=h,r=h,h.__name__=\"Widget\",r.define((({Number:i})=>({default_size:[i,300]}))),r.override({margin:[5,5,5,5]})},\n", " 441: function _(c,t,s,n,e){n();const o=c(53),_=c(226);class a extends _.DOMView{}s.AbstractIconView=a,a.__name__=\"AbstractIconView\";class r extends o.Model{constructor(c){super(c)}}s.AbstractIcon=r,r.__name__=\"AbstractIcon\"},\n", " 442: function _(e,t,n,s,i){s();const h=e(1);var o;const _=e(443),u=e(43),r=e(10),c=(0,h.__importStar)(e(229)),a=c;class l extends _.TextInputView{constructor(){super(...arguments),this._open=!1,this._last_value=\"\",this._hover_index=0}styles(){return[...super.styles(),c.default]}render(){super.render(),this.input_el.addEventListener(\"keydown\",(e=>this._keydown(e))),this.input_el.addEventListener(\"keyup\",(e=>this._keyup(e))),this.menu=(0,u.div)({class:[a.menu,a.below]}),this.menu.addEventListener(\"click\",(e=>this._menu_click(e))),this.menu.addEventListener(\"mouseover\",(e=>this._menu_hover(e))),this.el.appendChild(this.menu),(0,u.undisplay)(this.menu)}change_input(){this._open&&this.menu.children.length>0?(this.model.value=this.menu.children[this._hover_index].textContent,this.input_el.focus(),this._hide_menu()):this.model.restrict||super.change_input()}_update_completions(e){(0,u.empty)(this.menu);for(const t of e){const e=(0,u.div)(t);this.menu.appendChild(e)}e.length>0&&this.menu.children[0].classList.add(a.active)}_show_menu(){if(!this._open){this._open=!0,this._hover_index=0,this._last_value=this.model.value,(0,u.display)(this.menu);const e=t=>{const{target:n}=t;n instanceof HTMLElement&&!this.el.contains(n)&&(document.removeEventListener(\"click\",e),this._hide_menu())};document.addEventListener(\"click\",e)}}_hide_menu(){this._open&&(this._open=!1,(0,u.undisplay)(this.menu))}_menu_click(e){e.target!=e.currentTarget&&e.target instanceof Element&&(this.model.value=e.target.textContent,this.input_el.focus(),this._hide_menu())}_menu_hover(e){if(e.target!=e.currentTarget&&e.target instanceof Element){let t=0;for(t=0;t0&&(this.menu.children[this._hover_index].classList.remove(a.active),this._hover_index=(0,r.clamp)(e,0,t-1),this.menu.children[this._hover_index].classList.add(a.active))}_keydown(e){}_keyup(e){switch(e.keyCode){case u.Keys.Enter:this.change_input();break;case u.Keys.Esc:this._hide_menu();break;case u.Keys.Up:this._bump_hover(this._hover_index-1);break;case u.Keys.Down:this._bump_hover(this._hover_index+1);break;default:{const e=this.input_el.value;if(e.lengthe:e=>e.toLowerCase();for(const n of this.model.completions)s(n).startsWith(s(e))&&t.push(n);this._update_completions(t),0==t.length?this._hide_menu():this._show_menu()}}}}n.AutocompleteInputView=l,l.__name__=\"AutocompleteInputView\";class d extends _.TextInput{constructor(e){super(e)}}n.AutocompleteInput=d,o=d,d.__name__=\"AutocompleteInput\",o.prototype.default_view=l,o.define((({Boolean:e,Int:t,String:n,Array:s})=>({completions:[s(n),[]],min_characters:[t,2],case_sensitive:[e,!0],restrict:[e,!0]})))},\n", " 443: function _(t,e,n,p,_){p();const u=t(1);var i;const s=t(444),r=t(43),x=(0,u.__importStar)(t(446));class a extends s.TextLikeInputView{_render_input(){this.input_el=(0,r.input)({type:\"text\",class:x.input})}}n.TextInputView=a,a.__name__=\"TextInputView\";class c extends s.TextLikeInput{constructor(t){super(t)}}n.TextInput=c,i=c,c.__name__=\"TextInput\",i.prototype.default_view=a},\n", " 444: function _(e,t,n,i,l){var s;i();const h=e(445);class a extends h.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,(()=>{var e;return this.input_el.name=null!==(e=this.model.name)&&void 0!==e?e:\"\"})),this.connect(this.model.properties.value.change,(()=>this.input_el.value=this.model.value)),this.connect(this.model.properties.value_input.change,(()=>this.input_el.value=this.model.value_input)),this.connect(this.model.properties.disabled.change,(()=>this.input_el.disabled=this.model.disabled)),this.connect(this.model.properties.placeholder.change,(()=>this.input_el.placeholder=this.model.placeholder)),this.connect(this.model.properties.max_length.change,(()=>{const{max_length:e}=this.model;null!=e?this.input_el.maxLength=e:this.input_el.removeAttribute(\"maxLength\")}))}render(){var e;super.render(),this._render_input();const{input_el:t}=this;t.name=null!==(e=this.model.name)&&void 0!==e?e:\"\",t.value=this.model.value,t.disabled=this.model.disabled,t.placeholder=this.model.placeholder,null!=this.model.max_length&&(t.maxLength=this.model.max_length),t.addEventListener(\"change\",(()=>this.change_input())),t.addEventListener(\"input\",(()=>this.change_input_value())),this.group_el.appendChild(t)}change_input(){this.model.value=this.input_el.value,super.change_input()}change_input_value(){this.model.value_input=this.input_el.value,super.change_input()}}n.TextLikeInputView=a,a.__name__=\"TextLikeInputView\";class u extends h.InputWidget{constructor(e){super(e)}}n.TextLikeInput=u,s=u,u.__name__=\"TextLikeInput\",s.define((({Int:e,String:t,Nullable:n})=>({value:[t,\"\"],value_input:[t,\"\"],placeholder:[t,\"\"],max_length:[n(e),null]})))},\n", " 445: function _(e,t,n,s,l){s();const i=e(1);var o;const r=e(439),_=e(43),p=(0,i.__importStar)(e(446)),a=p;class c extends r.ControlView{*controls(){yield this.input_el}connect_signals(){super.connect_signals(),this.connect(this.model.properties.title.change,(()=>{this.label_el.textContent=this.model.title}))}styles(){return[...super.styles(),p.default]}render(){super.render();const{title:e}=this.model;this.label_el=(0,_.label)({style:{display:0==e.length?\"none\":\"\"}},e),this.group_el=(0,_.div)({class:a.input_group},this.label_el),this.el.appendChild(this.group_el)}change_input(){}}n.InputWidgetView=c,c.__name__=\"InputWidgetView\";class d extends r.Control{constructor(e){super(e)}}n.InputWidget=d,o=d,d.__name__=\"InputWidget\",o.define((({String:e})=>({title:[e,\"\"]})))},\n", " 446: function _(o,p,t,n,i){n(),t.root=\"bk-root\",t.input=\"bk-input\",t.input_group=\"bk-input-group\",t.inline=\"bk-inline\",t.spin_wrapper=\"bk-spin-wrapper\",t.spin_btn=\"bk-spin-btn\",t.spin_btn_up=\"bk-spin-btn-up\",t.spin_btn_down=\"bk-spin-btn-down\",t.default='.bk-root .bk-input{display:inline-block;width:100%;flex-grow:1;min-height:31px;padding:0 12px;background-color:#fff;border:1px solid #ccc;border-radius:4px;}.bk-root .bk-input:focus{border-color:#66afe9;outline:0;box-shadow:inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 8px rgba(102, 175, 233, 0.6);}.bk-root .bk-input::placeholder,.bk-root .bk-input:-ms-input-placeholder,.bk-root .bk-input::-moz-placeholder,.bk-root .bk-input::-webkit-input-placeholder{color:#999;opacity:1;}.bk-root .bk-input[disabled]{cursor:not-allowed;background-color:#eee;opacity:1;}.bk-root select:not([multiple]).bk-input,.bk-root select:not([size]).bk-input{height:auto;appearance:none;-webkit-appearance:none;background-image:url(\\'data:image/svg+xml;utf8,\\');background-position:right 0.5em center;background-size:8px 6px;background-repeat:no-repeat;}.bk-root select[multiple].bk-input,.bk-root select[size].bk-input,.bk-root textarea.bk-input{height:auto;}.bk-root .bk-input-group{width:100%;height:100%;display:inline-flex;flex-wrap:nowrap;align-items:start;flex-direction:column;white-space:nowrap;}.bk-root .bk-input-group.bk-inline{flex-direction:row;}.bk-root .bk-input-group.bk-inline > *:not(:first-child){margin-left:5px;}.bk-root .bk-input-group input[type=\"checkbox\"] + span,.bk-root .bk-input-group input[type=\"radio\"] + span{position:relative;top:-2px;margin-left:3px;}.bk-root .bk-input-group > .bk-spin-wrapper{display:inherit;width:inherit;height:inherit;position:relative;overflow:hidden;padding:0;vertical-align:middle;}.bk-root .bk-input-group > .bk-spin-wrapper input{padding-right:20px;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn{position:absolute;display:block;height:50%;min-height:0;min-width:0;width:30px;padding:0;margin:0;right:0;border:none;background:none;cursor:pointer;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn:before{content:\"\";display:inline-block;transform:translateY(-50%);border-left:5px solid transparent;border-right:5px solid transparent;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-up{top:0;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-up:before{border-bottom:5px solid black;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-up:disabled:before{border-bottom-color:grey;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-down{bottom:0;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-down:before{border-top:5px solid black;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-down:disabled:before{border-top-color:grey;}'},\n", " 447: function _(t,e,n,o,c){var s;o();const u=t(438),r=t(251);class i extends u.AbstractButtonView{click(){this.model.trigger_event(new r.ButtonClick),super.click()}}n.ButtonView=i,i.__name__=\"ButtonView\";class _ extends u.AbstractButton{constructor(t){super(t)}}n.Button=_,s=_,_.__name__=\"Button\",s.prototype.default_view=i,s.override({label:\"Button\"})},\n", " 448: function _(t,e,o,c,a){c();const s=t(1);var n;const i=t(449),r=t(43),u=(0,s.__importStar)(t(318));class _ extends i.ButtonGroupView{get active(){return new Set(this.model.active)}change_active(t){const{active:e}=this;e.has(t)?e.delete(t):e.add(t),this.model.active=[...e].sort()}_update_active(){const{active:t}=this;this._buttons.forEach(((e,o)=>{(0,r.classes)(e).toggle(u.active,t.has(o))}))}}o.CheckboxButtonGroupView=_,_.__name__=\"CheckboxButtonGroupView\";class h extends i.ButtonGroup{constructor(t){super(t)}}o.CheckboxButtonGroup=h,n=h,h.__name__=\"CheckboxButtonGroup\",n.prototype.default_view=_,n.define((({Int:t,Array:e})=>({active:[e(t),[]]})))},\n", " 449: function _(t,e,n,s,i){s();const o=t(1);var r;const a=t(450),l=t(20),d=t(43),u=(0,o.__importStar)(t(318)),_=u;class c extends a.OrientedControlView{get default_size(){return\"horizontal\"==this.orientation?this.model.default_size:void 0}*controls(){yield*this._buttons}connect_signals(){super.connect_signals();const t=this.model.properties;this.on_change(t.button_type,(()=>this.render())),this.on_change(t.labels,(()=>this.render())),this.on_change(t.active,(()=>this._update_active()))}styles(){return[...super.styles(),u.default]}render(){super.render(),this._buttons=this.model.labels.map(((t,e)=>{const n=(0,d.div)({class:[_.btn,_[`btn_${this.model.button_type}`]],disabled:this.model.disabled},t);return n.addEventListener(\"click\",(()=>this.change_active(e))),n})),this._update_active();const t=\"horizontal\"==this.model.orientation?_.horizontal:_.vertical,e=(0,d.div)({class:[_.btn_group,t]},this._buttons);this.el.appendChild(e)}}n.ButtonGroupView=c,c.__name__=\"ButtonGroupView\";class h extends a.OrientedControl{constructor(t){super(t)}}n.ButtonGroup=h,r=h,h.__name__=\"ButtonGroup\",r.define((({String:t,Array:e})=>({labels:[e(t),[]],button_type:[l.ButtonType,\"default\"]})))},\n", " 450: function _(n,t,e,o,r){var i;o();const a=n(439),l=n(20);class s extends a.ControlView{get orientation(){return this.model.orientation}}e.OrientedControlView=s,s.__name__=\"OrientedControlView\";class _ extends a.Control{constructor(n){super(n)}}e.OrientedControl=_,i=_,_.__name__=\"OrientedControl\",i.define((()=>({orientation:[l.Orientation,\"horizontal\"]})))},\n", " 451: function _(e,t,n,i,s){i();const o=e(1);var a;const c=e(452),l=e(43),d=e(9),p=(0,o.__importStar)(e(446));class r extends c.InputGroupView{render(){super.render();const e=(0,l.div)({class:[p.input_group,this.model.inline?p.inline:null]});this.el.appendChild(e);const{active:t,labels:n}=this.model;this._inputs=[];for(let i=0;ithis.change_active(i))),this._inputs.push(s),this.model.disabled&&(s.disabled=!0),(0,d.includes)(t,i)&&(s.checked=!0);const o=(0,l.label)(s,(0,l.span)(n[i]));e.appendChild(o)}}change_active(e){const t=new Set(this.model.active);t.has(e)?t.delete(e):t.add(e),this.model.active=[...t].sort()}}n.CheckboxGroupView=r,r.__name__=\"CheckboxGroupView\";class h extends c.InputGroup{constructor(e){super(e)}}n.CheckboxGroup=h,a=h,h.__name__=\"CheckboxGroup\",a.prototype.default_view=r,a.define((({Boolean:e,Int:t,String:n,Array:i})=>({active:[i(t),[]],labels:[i(n),[]],inline:[e,!1]})))},\n", " 452: function _(n,t,e,s,o){s();const r=n(1),u=n(439),c=(0,r.__importDefault)(n(446));class _ extends u.ControlView{*controls(){yield*this._inputs}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.render()))}styles(){return[...super.styles(),c.default]}}e.InputGroupView=_,_.__name__=\"InputGroupView\";class i extends u.Control{constructor(n){super(n)}}e.InputGroup=i,i.__name__=\"InputGroup\"},\n", " 453: function _(e,t,i,n,o){n();const s=e(1);var l;const r=e(445),c=e(43),a=e(22),d=(0,s.__importStar)(e(446));class h extends r.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,(()=>{var e;return this.input_el.name=null!==(e=this.model.name)&&void 0!==e?e:\"\"})),this.connect(this.model.properties.color.change,(()=>this.input_el.value=(0,a.color2hexrgb)(this.model.color))),this.connect(this.model.properties.disabled.change,(()=>this.input_el.disabled=this.model.disabled))}render(){super.render(),this.input_el=(0,c.input)({type:\"color\",class:d.input,name:this.model.name,value:this.model.color,disabled:this.model.disabled}),this.input_el.addEventListener(\"change\",(()=>this.change_input())),this.group_el.appendChild(this.input_el)}change_input(){this.model.color=this.input_el.value,super.change_input()}}i.ColorPickerView=h,h.__name__=\"ColorPickerView\";class p extends r.InputWidget{constructor(e){super(e)}}i.ColorPicker=p,l=p,p.__name__=\"ColorPicker\",l.prototype.default_view=h,l.define((({Color:e})=>({color:[e,\"#000000\"]})))},\n", " 454: function _(e,t,i,n,s){n();const a=e(1);var l;const o=(0,a.__importDefault)(e(455)),d=e(445),r=e(43),c=e(20),u=e(8),h=(0,a.__importStar)(e(446)),_=(0,a.__importDefault)(e(456));function p(e){const t=[];for(const i of e)if((0,u.isString)(i))t.push(i);else{const[e,n]=i;t.push({from:e,to:n})}return t}class m extends d.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,min_date:t,max_date:i,disabled_dates:n,enabled_dates:s,position:a,inline:l}=this.model.properties;this.connect(e.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.setDate(this.model.value)})),this.connect(t.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"minDate\",this.model.min_date)})),this.connect(i.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"maxDate\",this.model.max_date)})),this.connect(n.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"disable\",this.model.disabled_dates)})),this.connect(s.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"enable\",this.model.enabled_dates)})),this.connect(a.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"position\",this.model.position)})),this.connect(l.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"inline\",this.model.inline)}))}remove(){var e;null===(e=this._picker)||void 0===e||e.destroy(),super.remove()}styles(){return[...super.styles(),_.default]}render(){var e,t;null==this._picker&&(super.render(),this.input_el=(0,r.input)({type:\"text\",class:h.input,disabled:this.model.disabled}),this.group_el.appendChild(this.input_el),this._picker=(0,o.default)(this.input_el,{defaultDate:this.model.value,minDate:null!==(e=this.model.min_date)&&void 0!==e?e:void 0,maxDate:null!==(t=this.model.max_date)&&void 0!==t?t:void 0,inline:this.model.inline,position:this.model.position,disable:p(this.model.disabled_dates),enable:p(this.model.enabled_dates),onChange:(e,t,i)=>this._on_change(e,t,i)}))}_on_change(e,t,i){this.model.value=t,this.change_input()}}i.DatePickerView=m,m.__name__=\"DatePickerView\";class v extends d.InputWidget{constructor(e){super(e)}}i.DatePicker=v,l=v,v.__name__=\"DatePicker\",l.prototype.default_view=m,l.define((({Boolean:e,String:t,Array:i,Tuple:n,Or:s,Nullable:a})=>{const l=i(s(t,n(t,t)));return{value:[t],min_date:[a(t),null],max_date:[a(t),null],disabled_dates:[l,[]],enabled_dates:[l,[]],position:[c.CalendarPosition,\"auto\"],inline:[e,!1]}}))},\n", " 455: function _(e,n,t,a,i){\n", " /* flatpickr v4.6.6, @license MIT */var o,r;o=this,r=function(){\"use strict\";\n", " /*! *****************************************************************************\n", " Copyright (c) Microsoft Corporation.\n", " \n", " Permission to use, copy, modify, and/or distribute this software for any\n", " purpose with or without fee is hereby granted.\n", " \n", " THE SOFTWARE IS PROVIDED \"AS IS\" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH\n", " REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY\n", " AND FITNESS. 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n=g(e),t=V(n),a=n===w.input||n===w.altInput||w.element.contains(n)||e.path&&e.path.indexOf&&(~e.path.indexOf(w.input)||~e.path.indexOf(w.altInput)),i=\"blur\"===e.type?a&&e.relatedTarget&&!V(e.relatedTarget):!a&&!t&&!V(e.relatedTarget),o=!w.config.ignoredFocusElements.some((function(e){return e.contains(n)}));i&&o&&(void 0!==w.timeContainer&&void 0!==w.minuteElement&&void 0!==w.hourElement&&\"\"!==w.input.value&&void 0!==w.input.value&&T(),w.close(),w.config&&\"range\"===w.config.mode&&1===w.selectedDates.length&&(w.clear(!1),w.redraw()))}}function Q(e){if(!(!e||w.config.minDate&&ew.config.maxDate.getFullYear())){var n=e,t=w.currentYear!==n;w.currentYear=n||w.currentYear,w.config.maxDate&&w.currentYear===w.config.maxDate.getFullYear()?w.currentMonth=Math.min(w.config.maxDate.getMonth(),w.currentMonth):w.config.minDate&&w.currentYear===w.config.minDate.getFullYear()&&(w.currentMonth=Math.max(w.config.minDate.getMonth(),w.currentMonth)),t&&(w.redraw(),pe(\"onYearChange\"),K())}}function X(e,n){void 0===n&&(n=!0);var t=w.parseDate(e,void 0,n);if(w.config.minDate&&t&&M(t,w.config.minDate,void 0!==n?n:!w.minDateHasTime)<0||w.config.maxDate&&t&&M(t,w.config.maxDate,void 0!==n?n:!w.maxDateHasTime)>0)return!1;if(0===w.config.enable.length&&0===w.config.disable.length)return!0;if(void 0===t)return!1;for(var a=w.config.enable.length>0,i=a?w.config.enable:w.config.disable,o=0,r=void 0;o=r.from.getTime()&&t.getTime()<=r.to.getTime())return a}return!a}function ee(e){return void 0!==w.daysContainer&&-1===e.className.indexOf(\"hidden\")&&-1===e.className.indexOf(\"flatpickr-disabled\")&&w.daysContainer.contains(e)}function ne(e){e.target!==w._input||e.relatedTarget&&V(e.relatedTarget)||w.setDate(w._input.value,!0,e.target===w.altInput?w.config.altFormat:w.config.dateFormat)}function te(e){var n=g(e),t=w.config.wrap?p.contains(n):n===w._input,a=w.config.allowInput,i=w.isOpen&&(!a||!t),o=w.config.inline&&t&&!a;if(13===e.keyCode&&t){if(a)return 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d=[w.hourElement,w.minuteElement,w.secondElement,w.amPM].concat(w.pluginElements).filter((function(e){return e})),s=d.indexOf(n);if(-1!==s){var u=d[s+(e.shiftKey?-1:1)];e.preventDefault(),(u||w._input).focus()}}else!w.config.noCalendar&&w.daysContainer&&w.daysContainer.contains(n)&&e.shiftKey&&(e.preventDefault(),w._input.focus())}}if(void 0!==w.amPM&&n===w.amPM)switch(e.key){case w.l10n.amPM[0].charAt(0):case w.l10n.amPM[0].charAt(0).toLowerCase():w.amPM.textContent=w.l10n.amPM[0],I(),be();break;case w.l10n.amPM[1].charAt(0):case w.l10n.amPM[1].charAt(0).toLowerCase():w.amPM.textContent=w.l10n.amPM[1],I(),be()}(t||V(n))&&pe(\"onKeyDown\",e)}function ae(e){if(1===w.selectedDates.length&&(!e||e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\"))){for(var n=e?e.dateObj.getTime():w.days.firstElementChild.dateObj.getTime(),t=w.parseDate(w.selectedDates[0],void 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l=\"single\"===w.config.mode&&!w.config.enableTime,c=\"range\"===w.config.mode&&2===w.selectedDates.length&&!w.config.enableTime;(l||c)&&se()}A()}}w.parseDate=C({config:w.config,l10n:w.l10n}),w._handlers=[],w.pluginElements=[],w.loadedPlugins=[],w._bind=N,w._setHoursFromDate=S,w._positionCalendar=ce,w.changeMonth=G,w.changeYear=Q,w.clear=function(e,n){if(void 0===e&&(e=!0),void 0===n&&(n=!0),w.input.value=\"\",void 0!==w.altInput&&(w.altInput.value=\"\"),void 0!==w.mobileInput&&(w.mobileInput.value=\"\"),w.selectedDates=[],w.latestSelectedDateObj=void 0,!0===n&&(w.currentYear=w._initialDate.getFullYear(),w.currentMonth=w._initialDate.getMonth()),!0===w.config.enableTime){var t=_(),a=t.hours,i=t.minutes,o=t.seconds;O(a,i,o)}w.redraw(),e&&pe(\"onChange\")},w.close=function(){w.isOpen=!1,w.isMobile||(void 0!==w.calendarContainer&&w.calendarContainer.classList.remove(\"open\"),void 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w.altInput),w.input&&(w.input.type=w.input._type,w.input.classList.remove(\"flatpickr-input\"),w.input.removeAttribute(\"readonly\")),[\"_showTimeInput\",\"latestSelectedDateObj\",\"_hideNextMonthArrow\",\"_hidePrevMonthArrow\",\"__hideNextMonthArrow\",\"__hidePrevMonthArrow\",\"isMobile\",\"isOpen\",\"selectedDateElem\",\"minDateHasTime\",\"maxDateHasTime\",\"days\",\"daysContainer\",\"_input\",\"_positionElement\",\"innerContainer\",\"rContainer\",\"monthNav\",\"todayDateElem\",\"calendarContainer\",\"weekdayContainer\",\"prevMonthNav\",\"nextMonthNav\",\"monthsDropdownContainer\",\"currentMonthElement\",\"currentYearElement\",\"navigationCurrentMonth\",\"selectedDateElem\",\"config\"].forEach((function(e){try{delete w[e]}catch(e){}}))},w.isEnabled=X,w.jumpToDate=P,w.open=function(e,n){if(void 0===n&&(n=w._positionElement),!0===w.isMobile){if(e){e.preventDefault();var t=g(e);t&&t.blur()}return void 0!==w.mobileInput&&(w.mobileInput.focus(),w.mobileInput.click()),void 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n.MarkupView{render(){super.render(),this.model.render_as_text?this.markup_el.textContent=this.model.text:this.markup_el.innerHTML=this.has_math_disabled()?this.model.text:this.process_tex()}}s.DivView=a,a.__name__=\"DivView\";class d extends n.Markup{constructor(e){super(e)}}s.Div=d,_=d,d.__name__=\"Div\",_.prototype.default_view=a,_.define((({Boolean:e})=>({render_as_text:[e,!1]})))},\n", " 464: function _(t,e,s,i,r){i();const a=t(1);var n;const o=t(210),d=t(43),h=t(137),l=t(508),_=(0,a.__importStar)(t(465));class u extends l.WidgetView{get provider(){return h.default_provider}async lazy_initialize(){await super.lazy_initialize(),\"not_started\"==this.provider.status&&await 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this.model.disable_math||!this.contains_tex_string()}process_tex(){if(!this.provider.MathJax)return this.model.text;const{text:t}=this.model,e=this.provider.MathJax.find_tex(t),s=[];let i=0;for(const r of e)s.push(t.slice(i,r.start.n)),s.push(this.provider.MathJax.tex2svg(r.math,{display:r.display}).outerHTML),i=r.end.n;return i0}}s.MarkupView=u,u.__name__=\"MarkupView\";class p extends l.Widget{constructor(t){super(t)}}s.Markup=p,n=p,p.__name__=\"Markup\",n.define((({Boolean:t,String:e,Dict:s})=>({text:[e,\"\"],style:[s(e),{}],disable_math:[t,!1]})))},\n", " 465: function _(o,r,e,t,a){t(),e.root=\"bk-root\",e.clearfix=\"bk-clearfix\",e.default='.bk-root .bk-clearfix:before,.bk-root .bk-clearfix:after{content:\"\";display:table;}.bk-root .bk-clearfix:after{clear:both;}'},\n", " 466: function _(e,t,i,n,s){n();const o=e(1);var l;const r=e(438),d=e(251),_=e(43),u=e(8),c=(0,o.__importStar)(e(318)),h=(0,o.__importStar)(e(229)),m=h;class p extends r.AbstractButtonView{constructor(){super(...arguments),this._open=!1}styles(){return[...super.styles(),h.default]}render(){super.render();const e=(0,_.div)({class:[m.caret,m.down]});if(this.model.is_split){const t=this._render_button(e);t.classList.add(c.dropdown_toggle),t.addEventListener(\"click\",(()=>this._toggle_menu())),this.group_el.appendChild(t)}else this.button_el.appendChild(e);const t=this.model.menu.map(((e,t)=>{if(null==e)return(0,_.div)({class:m.divider});{const i=(0,u.isString)(e)?e:e[0],n=(0,_.div)(i);return n.addEventListener(\"click\",(()=>this._item_click(t))),n}}));this.menu=(0,_.div)({class:[m.menu,m.below]},t),this.el.appendChild(this.menu),(0,_.undisplay)(this.menu)}_show_menu(){if(!this._open){this._open=!0,(0,_.display)(this.menu);const e=t=>{const{target:i}=t;i instanceof 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a=e(43),o=e(508);class d extends o.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.render()))}render(){const{multiple:e,accept:l,disabled:i,width:t}=this.model;null==this.dialog_el&&(this.dialog_el=(0,a.input)({type:\"file\",multiple:e}),this.dialog_el.onchange=()=>{const{files:e}=this.dialog_el;null!=e&&this.load_files(e)},this.el.appendChild(this.dialog_el)),null!=l&&\"\"!=l&&(this.dialog_el.accept=l),this.dialog_el.style.width=`${t}px`,this.dialog_el.disabled=i}async load_files(e){const l=[],i=[],t=[];for(const s of e){const e=await this._read_file(s),[,n=\"\",,a=\"\"]=e.split(/[:;,]/,4);l.push(a),i.push(s.name),t.push(n)}this.model.multiple?this.model.setv({value:l,filename:i,mime_type:t}):this.model.setv({value:l[0],filename:i[0],mime_type:t[0]})}_read_file(e){return new Promise(((l,i)=>{const t=new FileReader;t.onload=()=>{var s;const{result:n}=t;null!=n?l(n):i(null!==(s=t.error)&&void 0!==s?s:new Error(`unable to read 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p.Markup{constructor(e){super(e)}}r.Paragraph=h,n=h,h.__name__=\"Paragraph\",n.prototype.default_view=i},\n", " 470: function _(e,s,t,n,r){var p;n();const u=e(443);class a extends u.TextInputView{render(){super.render(),this.input_el.type=\"password\"}}t.PasswordInputView=a,a.__name__=\"PasswordInputView\";class o extends u.TextInput{constructor(e){super(e)}}t.PasswordInput=o,p=o,o.__name__=\"PasswordInput\",p.prototype.default_view=a},\n", " 471: function _(e,t,i,l,s){l();const o=e(1);var n;const h=(0,o.__importDefault)(e(472)),a=e(43),u=e(8),c=e(210),_=(0,o.__importStar)(e(446)),d=(0,o.__importDefault)(e(473)),r=e(445);class m extends r.InputWidgetView{constructor(){super(...arguments),this._last_height=null}connect_signals(){super.connect_signals(),this.connect(this.model.properties.disabled.change,(()=>this.set_disabled()));const{value:e,max_items:t,option_limit:i,search_option_limit:l,delete_button:s,placeholder:o,options:n,name:h,title:a}=this.model.properties;this.on_change([e,t,i,l,s,o,n,h,a],(()=>this.render()))}styles(){return[...super.styles(),d.default]}_update_layout(){this.layout=new c.CachedVariadicBox(this.el),this.layout.set_sizing(this.box_sizing())}render(){super.render(),this.input_el=(0,a.select)({multiple:!0,class:_.input,name:this.model.name,disabled:this.model.disabled}),this.group_el.appendChild(this.input_el);const e=new Set(this.model.value),t=this.model.options.map((t=>{let i,l;return(0,u.isString)(t)?i=l=t:[i,l]=t,{value:i,label:l,selected:e.has(i)}})),i=this.model.solid?\"solid\":\"light\",l=`choices__item ${i}`,s=`choices__button 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i=e.split(this.options.tokenSeparator),n=0,s=i.length;n0&&void 0!==arguments[0]?arguments[0]:[],t=arguments.length>1?arguments[1]:void 0,i=this.list,n={},s=[];if(\"string\"==typeof i[0]){for(var r=0,o=i.length;r1)throw new Error(\"Key weight has to be > 0 and <= 1\");p=p.name}else a[p]={weight:1};this._analyze({key:p,value:this.options.getFn(h,p),record:h,index:c},{resultMap:n,results:s,tokenSearchers:e,fullSearcher:t})}return{weights:a,results:s}}},{key:\"_analyze\",value:function(e,t){var i=e.key,n=e.arrayIndex,s=void 0===n?-1:n,r=e.value,o=e.record,c=e.index,l=t.tokenSearchers,h=void 0===l?[]:l,u=t.fullSearcher,d=void 0===u?[]:u,p=t.resultMap,m=void 0===p?{}:p,f=t.results,v=void 0===f?[]:f;if(null!=r){var g=!1,_=-1,b=0;if(\"string\"==typeof r){this._log(\"\\nKey: \".concat(\"\"===i?\"-\":i));var y=d.search(r);if(this._log('Full text: \"'.concat(r,'\", score: ').concat(y.score)),this.options.tokenize){for(var E=r.split(this.options.tokenSeparator),I=[],S=0;S-1&&(P=(P+_)/2),this._log(\"Score average:\",P);var D=!this.options.tokenize||!this.options.matchAllTokens||b>=h.length;if(this._log(\"\\nCheck Matches: \".concat(D)),(g||y.isMatch)&&D){var M=m[c];M?M.output.push({key:i,arrayIndex:s,value:r,score:P,matchedIndices:y.matchedIndices}):(m[c]={item:o,output:[{key:i,arrayIndex:s,value:r,score:P,matchedIndices:y.matchedIndices}]},v.push(m[c]))}}else if(a(r))for(var N=0,F=r.length;N-1&&(o.arrayIndex=r.arrayIndex),t.matches.push(o)}}})),this.options.includeScore&&s.push((function(e,t){t.score=e.score}));for(var r=0,o=e.length;ri)return s(e,this.pattern,n);var o=this.options,a=o.location,c=o.distance,l=o.threshold,h=o.findAllMatches,u=o.minMatchCharLength;return r(e,this.pattern,this.patternAlphabet,{location:a,distance:c,threshold:l,findAllMatches:h,minMatchCharLength:u})}}])&&n(t.prototype,i),a&&n(t,a),e}();e.exports=a},function(e,t){var i=/[\\-\\[\\]\\/\\{\\}\\(\\)\\*\\+\\?\\.\\\\\\^\\$\\|]/g;e.exports=function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:/ +/g,s=new RegExp(t.replace(i,\"\\\\$&\").replace(n,\"|\")),r=e.match(s),o=!!r,a=[];if(o)for(var c=0,l=r.length;c=P;N-=1){var F=N-1,j=i[e.charAt(F)];if(j&&(E[F]=1),M[N]=(M[N+1]<<1|1)&j,0!==T&&(M[N]|=(O[N+1]|O[N])<<1|1|O[N+1]),M[N]&L&&(C=n(t,{errors:T,currentLocation:F,expectedLocation:v,distance:l}))<=_){if(_=C,(b=F)<=v)break;P=Math.max(1,2*v-b)}}if(n(t,{errors:T+1,currentLocation:v,expectedLocation:v,distance:l})>_)break;O=M}return{isMatch:b>=0,score:0===C?.001:C,matchedIndices:s(E,f)}}},function(e,t){e.exports=function(e,t){var i=t.errors,n=void 0===i?0:i,s=t.currentLocation,r=void 0===s?0:s,o=t.expectedLocation,a=void 0===o?0:o,c=t.distance,l=void 0===c?100:c,h=n/e.length,u=Math.abs(a-r);return l?h+u/l:u?1:h}},function(e,t){e.exports=function(){for(var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:[],t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:1,i=[],n=-1,s=-1,r=0,o=e.length;r=t&&i.push([n,s]),n=-1)}return e[r-1]&&r-n>=t&&i.push([n,r-1]),i}},function(e,t){e.exports=function(e){for(var t={},i=e.length,n=0;n/g,\"&rt;\").replace(/-1?e.map((function(e){var i=e;return i.id===parseInt(t.choiceId,10)&&(i.selected=!0),i})):e;case\"REMOVE_ITEM\":return t.choiceId>-1?e.map((function(e){var i=e;return i.id===parseInt(t.choiceId,10)&&(i.selected=!1),i})):e;case\"FILTER_CHOICES\":return e.map((function(e){var i=e;return i.active=t.results.some((function(e){var t=e.item,n=e.score;return t.id===i.id&&(i.score=n,!0)})),i}));case\"ACTIVATE_CHOICES\":return e.map((function(e){var i=e;return i.active=t.active,i}));case\"CLEAR_CHOICES\":return v;default:return e}},general:_}),A=function(e,t){var i=e;if(\"CLEAR_ALL\"===t.type)i=void 0;else if(\"RESET_TO\"===t.type)return O(t.state);return C(i,t)};function L(e,t){for(var i=0;i\"'+I(e)+'\"'},maxItemText:function(e){return\"Only \"+e+\" values can be added\"},valueComparer:function(e,t){return e===t},fuseOptions:{includeScore:!0},callbackOnInit:null,callbackOnCreateTemplates:null,classNames:{containerOuter:\"choices\",containerInner:\"choices__inner\",input:\"choices__input\",inputCloned:\"choices__input--cloned\",list:\"choices__list\",listItems:\"choices__list--multiple\",listSingle:\"choices__list--single\",listDropdown:\"choices__list--dropdown\",item:\"choices__item\",itemSelectable:\"choices__item--selectable\",itemDisabled:\"choices__item--disabled\",itemChoice:\"choices__item--choice\",placeholder:\"choices__placeholder\",group:\"choices__group\",groupHeading:\"choices__heading\",button:\"choices__button\",activeState:\"is-active\",focusState:\"is-focused\",openState:\"is-open\",disabledState:\"is-disabled\",highlightedState:\"is-highlighted\",selectedState:\"is-selected\",flippedState:\"is-flipped\",loadingState:\"is-loading\",noResults:\"has-no-results\",noChoices:\"has-no-choices\"}},D=\"showDropdown\",M=\"hideDropdown\",N=\"change\",F=\"choice\",j=\"search\",K=\"addItem\",R=\"removeItem\",H=\"highlightItem\",B=\"highlightChoice\",V=\"ADD_CHOICE\",G=\"FILTER_CHOICES\",q=\"ACTIVATE_CHOICES\",U=\"CLEAR_CHOICES\",z=\"ADD_GROUP\",W=\"ADD_ITEM\",X=\"REMOVE_ITEM\",$=\"HIGHLIGHT_ITEM\",J=46,Y=8,Z=13,Q=65,ee=27,te=38,ie=40,ne=33,se=34,re=\"text\",oe=\"select-one\",ae=\"select-multiple\",ce=function(){function e(e){var t=e.element,i=e.type,n=e.classNames,s=e.position;this.element=t,this.classNames=n,this.type=i,this.position=s,this.isOpen=!1,this.isFlipped=!1,this.isFocussed=!1,this.isDisabled=!1,this.isLoading=!1,this._onFocus=this._onFocus.bind(this),this._onBlur=this._onBlur.bind(this)}var t=e.prototype;return t.addEventListeners=function(){this.element.addEventListener(\"focus\",this._onFocus),this.element.addEventListener(\"blur\",this._onBlur)},t.removeEventListeners=function(){this.element.removeEventListener(\"focus\",this._onFocus),this.element.removeEventListener(\"blur\",this._onBlur)},t.shouldFlip=function(e){if(\"number\"!=typeof e)return!1;var t=!1;return\"auto\"===this.position?t=!window.matchMedia(\"(min-height: \"+(e+1)+\"px)\").matches:\"top\"===this.position&&(t=!0),t},t.setActiveDescendant=function(e){this.element.setAttribute(\"aria-activedescendant\",e)},t.removeActiveDescendant=function(){this.element.removeAttribute(\"aria-activedescendant\")},t.open=function(e){this.element.classList.add(this.classNames.openState),this.element.setAttribute(\"aria-expanded\",\"true\"),this.isOpen=!0,this.shouldFlip(e)&&(this.element.classList.add(this.classNames.flippedState),this.isFlipped=!0)},t.close=function(){this.element.classList.remove(this.classNames.openState),this.element.setAttribute(\"aria-expanded\",\"false\"),this.removeActiveDescendant(),this.isOpen=!1,this.isFlipped&&(this.element.classList.remove(this.classNames.flippedState),this.isFlipped=!1)},t.focus=function(){this.isFocussed||this.element.focus()},t.addFocusState=function(){this.element.classList.add(this.classNames.focusState)},t.removeFocusState=function(){this.element.classList.remove(this.classNames.focusState)},t.enable=function(){this.element.classList.remove(this.classNames.disabledState),this.element.removeAttribute(\"aria-disabled\"),this.type===oe&&this.element.setAttribute(\"tabindex\",\"0\"),this.isDisabled=!1},t.disable=function(){this.element.classList.add(this.classNames.disabledState),this.element.setAttribute(\"aria-disabled\",\"true\"),this.type===oe&&this.element.setAttribute(\"tabindex\",\"-1\"),this.isDisabled=!0},t.wrap=function(e){!function(e,t){void 0===t&&(t=document.createElement(\"div\")),e.nextSibling?e.parentNode.insertBefore(t,e.nextSibling):e.parentNode.appendChild(t),t.appendChild(e)}(e,this.element)},t.unwrap=function(e){this.element.parentNode.insertBefore(e,this.element),this.element.parentNode.removeChild(this.element)},t.addLoadingState=function(){this.element.classList.add(this.classNames.loadingState),this.element.setAttribute(\"aria-busy\",\"true\"),this.isLoading=!0},t.removeLoadingState=function(){this.element.classList.remove(this.classNames.loadingState),this.element.removeAttribute(\"aria-busy\"),this.isLoading=!1},t._onFocus=function(){this.isFocussed=!0},t._onBlur=function(){this.isFocussed=!1},e}();function le(e,t){for(var i=0;i0?this.element.scrollTop+o-s:e.offsetTop;requestAnimationFrame((function(){i._animateScroll(a,t)}))}},t._scrollDown=function(e,t,i){var n=(i-e)/t,s=n>1?n:1;this.element.scrollTop=e+s},t._scrollUp=function(e,t,i){var n=(e-i)/t,s=n>1?n:1;this.element.scrollTop=e-s},t._animateScroll=function(e,t){var i=this,n=this.element.scrollTop,s=!1;t>0?(this._scrollDown(n,4,e),ne&&(s=!0)),s&&requestAnimationFrame((function(){i._animateScroll(e,t)}))},e}();function de(e,t){for(var i=0;i0?\"treeitem\":\"option\"),Object.assign(g.dataset,{choice:\"\",id:l,value:h,selectText:i}),m?(g.classList.add(a),g.dataset.choiceDisabled=\"\",g.setAttribute(\"aria-disabled\",\"true\")):(g.classList.add(r),g.dataset.choiceSelectable=\"\"),g},input:function(e,t){var i=e.input,n=e.inputCloned,s=Object.assign(document.createElement(\"input\"),{type:\"text\",className:i+\" \"+n,autocomplete:\"off\",autocapitalize:\"off\",spellcheck:!1});return s.setAttribute(\"role\",\"textbox\"),s.setAttribute(\"aria-autocomplete\",\"list\"),s.setAttribute(\"aria-label\",t),s},dropdown:function(e){var t=e.list,i=e.listDropdown,n=document.createElement(\"div\");return n.classList.add(t,i),n.setAttribute(\"aria-expanded\",\"false\"),n},notice:function(e,t,i){var n=e.item,s=e.itemChoice,r=e.noResults,o=e.noChoices;void 0===i&&(i=\"\");var a=[n,s];return\"no-choices\"===i?a.push(o):\"no-results\"===i&&a.push(r),Object.assign(document.createElement(\"div\"),{innerHTML:t,className:a.join(\" \")})},option:function(e){var t=e.label,i=e.value,n=e.customProperties,s=e.active,r=e.disabled,o=new Option(t,i,!1,s);return n&&(o.dataset.customProperties=n),o.disabled=r,o}},be=function(e){return void 0===e&&(e=!0),{type:q,active:e}},ye=function(e,t){return{type:$,id:e,highlighted:t}},Ee=function(e){var t=e.value,i=e.id,n=e.active,s=e.disabled;return{type:z,value:t,id:i,active:n,disabled:s}},Ie=function(e){return{type:\"SET_IS_LOADING\",isLoading:e}};function Se(e,t){for(var i=0;i=0?this._store.getGroupById(s):null;return this._store.dispatch(ye(i,!0)),t&&this.passedElement.triggerEvent(H,{id:i,value:o,label:c,groupValue:l&&l.value?l.value:null}),this},r.unhighlightItem=function(e){if(!e)return this;var t=e.id,i=e.groupId,n=void 0===i?-1:i,s=e.value,r=void 0===s?\"\":s,o=e.label,a=void 0===o?\"\":o,c=n>=0?this._store.getGroupById(n):null;return this._store.dispatch(ye(t,!1)),this.passedElement.triggerEvent(H,{id:t,value:r,label:a,groupValue:c&&c.value?c.value:null}),this},r.highlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.highlightItem(t)})),this},r.unhighlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.unhighlightItem(t)})),this},r.removeActiveItemsByValue=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.value===e})).forEach((function(e){return t._removeItem(e)})),this},r.removeActiveItems=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.id!==e})).forEach((function(e){return t._removeItem(e)})),this},r.removeHighlightedItems=function(e){var t=this;return void 0===e&&(e=!1),this._store.highlightedActiveItems.forEach((function(i){t._removeItem(i),e&&t._triggerChange(i.value)})),this},r.showDropdown=function(e){var t=this;return this.dropdown.isActive||requestAnimationFrame((function(){t.dropdown.show(),t.containerOuter.open(t.dropdown.distanceFromTopWindow),!e&&t._canSearch&&t.input.focus(),t.passedElement.triggerEvent(D,{})})),this},r.hideDropdown=function(e){var t=this;return this.dropdown.isActive?(requestAnimationFrame((function(){t.dropdown.hide(),t.containerOuter.close(),!e&&t._canSearch&&(t.input.removeActiveDescendant(),t.input.blur()),t.passedElement.triggerEvent(M,{})})),this):this},r.getValue=function(e){void 0===e&&(e=!1);var t=this._store.activeItems.reduce((function(t,i){var n=e?i.value:i;return t.push(n),t}),[]);return this._isSelectOneElement?t[0]:t},r.setValue=function(e){var t=this;return this.initialised?(e.forEach((function(e){return t._setChoiceOrItem(e)})),this):this},r.setChoiceByValue=function(e){var t=this;return!this.initialised||this._isTextElement||(Array.isArray(e)?e:[e]).forEach((function(e){return t._findAndSelectChoiceByValue(e)})),this},r.setChoices=function(e,t,i,n){var s=this;if(void 0===e&&(e=[]),void 0===t&&(t=\"value\"),void 0===i&&(i=\"label\"),void 0===n&&(n=!1),!this.initialised)throw new ReferenceError(\"setChoices was called on a non-initialized instance of Choices\");if(!this._isSelectElement)throw new TypeError(\"setChoices can't be used with INPUT based Choices\");if(\"string\"!=typeof t||!t)throw new TypeError(\"value parameter must be a name of 'value' field in passed objects\");if(n&&this.clearChoices(),\"function\"==typeof e){var r=e(this);if(\"function\"==typeof Promise&&r instanceof Promise)return new Promise((function(e){return requestAnimationFrame(e)})).then((function(){return s._handleLoadingState(!0)})).then((function(){return r})).then((function(e){return s.setChoices(e,t,i,n)})).catch((function(e){s.config.silent||console.error(e)})).then((function(){return s._handleLoadingState(!1)})).then((function(){return s}));if(!Array.isArray(r))throw new TypeError(\".setChoices first argument function must return either array of choices or Promise, got: \"+typeof r);return this.setChoices(r,t,i,!1)}if(!Array.isArray(e))throw new TypeError(\".setChoices must be called either with array of choices with a function resulting into Promise of array of choices\");return this.containerOuter.removeLoadingState(),this._startLoading(),e.forEach((function(e){e.choices?s._addGroup({id:parseInt(e.id,10)||null,group:e,valueKey:t,labelKey:i}):s._addChoice({value:e[t],label:e[i],isSelected:e.selected,isDisabled:e.disabled,customProperties:e.customProperties,placeholder:e.placeholder})})),this._stopLoading(),this},r.clearChoices=function(){return this._store.dispatch({type:U}),this},r.clearStore=function(){return this._store.dispatch({type:\"CLEAR_ALL\"}),this},r.clearInput=function(){var e=!this._isSelectOneElement;return this.input.clear(e),!this._isTextElement&&this._canSearch&&(this._isSearching=!1,this._store.dispatch(be(!0))),this},r._render=function(){if(!this._store.isLoading()){this._currentState=this._store.state;var e=this._currentState.choices!==this._prevState.choices||this._currentState.groups!==this._prevState.groups||this._currentState.items!==this._prevState.items,t=this._isSelectElement,i=this._currentState.items!==this._prevState.items;e&&(t&&this._renderChoices(),i&&this._renderItems(),this._prevState=this._currentState)}},r._renderChoices=function(){var e=this,t=this._store,i=t.activeGroups,n=t.activeChoices,s=document.createDocumentFragment();if(this.choiceList.clear(),this.config.resetScrollPosition&&requestAnimationFrame((function(){return e.choiceList.scrollToTop()})),i.length>=1&&!this._isSearching){var r=n.filter((function(e){return!0===e.placeholder&&-1===e.groupId}));r.length>=1&&(s=this._createChoicesFragment(r,s)),s=this._createGroupsFragment(i,n,s)}else n.length>=1&&(s=this._createChoicesFragment(n,s));if(s.childNodes&&s.childNodes.length>0){var o=this._store.activeItems,a=this._canAddItem(o,this.input.value);a.response?(this.choiceList.append(s),this._highlightChoice()):this.choiceList.append(this._getTemplate(\"notice\",a.notice))}else{var c,l;this._isSearching?(l=\"function\"==typeof this.config.noResultsText?this.config.noResultsText():this.config.noResultsText,c=this._getTemplate(\"notice\",l,\"no-results\")):(l=\"function\"==typeof this.config.noChoicesText?this.config.noChoicesText():this.config.noChoicesText,c=this._getTemplate(\"notice\",l,\"no-choices\")),this.choiceList.append(c)}},r._renderItems=function(){var e=this._store.activeItems||[];this.itemList.clear();var t=this._createItemsFragment(e);t.childNodes&&this.itemList.append(t)},r._createGroupsFragment=function(e,t,i){var n=this;return void 0===i&&(i=document.createDocumentFragment()),this.config.shouldSort&&e.sort(this.config.sorter),e.forEach((function(e){var s=function(e){return t.filter((function(t){return n._isSelectOneElement?t.groupId===e.id:t.groupId===e.id&&(\"always\"===n.config.renderSelectedChoices||!t.selected)}))}(e);if(s.length>=1){var r=n._getTemplate(\"choiceGroup\",e);i.appendChild(r),n._createChoicesFragment(s,i,!0)}})),i},r._createChoicesFragment=function(e,t,i){var n=this;void 0===t&&(t=document.createDocumentFragment()),void 0===i&&(i=!1);var s=this.config,r=s.renderSelectedChoices,o=s.searchResultLimit,a=s.renderChoiceLimit,c=this._isSearching?w:this.config.sorter,l=function(e){if(\"auto\"!==r||n._isSelectOneElement||!e.selected){var i=n._getTemplate(\"choice\",e,n.config.itemSelectText);t.appendChild(i)}},h=e;\"auto\"!==r||this._isSelectOneElement||(h=e.filter((function(e){return!e.selected})));var u=h.reduce((function(e,t){return t.placeholder?e.placeholderChoices.push(t):e.normalChoices.push(t),e}),{placeholderChoices:[],normalChoices:[]}),d=u.placeholderChoices,p=u.normalChoices;(this.config.shouldSort||this._isSearching)&&p.sort(c);var m=h.length,f=this._isSelectOneElement?[].concat(d,p):p;this._isSearching?m=o:a&&a>0&&!i&&(m=a);for(var v=0;v=n){var o=s?this._searchChoices(e):0;this.passedElement.triggerEvent(j,{value:e,resultCount:o})}else r&&(this._isSearching=!1,this._store.dispatch(be(!0)))}},r._canAddItem=function(e,t){var i=!0,n=\"function\"==typeof this.config.addItemText?this.config.addItemText(t):this.config.addItemText;if(!this._isSelectOneElement){var s=function(e,t,i){return void 0===i&&(i=\"value\"),e.some((function(e){return\"string\"==typeof t?e[i]===t.trim():e[i]===t}))}(e,t);this.config.maxItemCount>0&&this.config.maxItemCount<=e.length&&(i=!1,n=\"function\"==typeof this.config.maxItemText?this.config.maxItemText(this.config.maxItemCount):this.config.maxItemText),!this.config.duplicateItemsAllowed&&s&&i&&(i=!1,n=\"function\"==typeof this.config.uniqueItemText?this.config.uniqueItemText(t):this.config.uniqueItemText),this._isTextElement&&this.config.addItems&&i&&\"function\"==typeof this.config.addItemFilter&&!this.config.addItemFilter(t)&&(i=!1,n=\"function\"==typeof this.config.customAddItemText?this.config.customAddItemText(t):this.config.customAddItemText)}return{response:i,notice:n}},r._searchChoices=function(e){var t=\"string\"==typeof e?e.trim():e,i=\"string\"==typeof this._currentValue?this._currentValue.trim():this._currentValue;if(t.length<1&&t===i+\" \")return 0;var n=this._store.searchableChoices,r=t,o=[].concat(this.config.searchFields),a=Object.assign(this.config.fuseOptions,{keys:o}),c=new s.a(n,a).search(r);return this._currentValue=t,this._highlightPosition=0,this._isSearching=!0,this._store.dispatch(function(e){return{type:G,results:e}}(c)),c.length},r._addEventListeners=function(){var e=document.documentElement;e.addEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.addEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.addEventListener(\"mousedown\",this._onMouseDown,!0),e.addEventListener(\"click\",this._onClick,{passive:!0}),e.addEventListener(\"touchmove\",this._onTouchMove,{passive:!0}),this.dropdown.element.addEventListener(\"mouseover\",this._onMouseOver,{passive:!0}),this._isSelectOneElement&&(this.containerOuter.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.containerOuter.element.addEventListener(\"blur\",this._onBlur,{passive:!0})),this.input.element.addEventListener(\"keyup\",this._onKeyUp,{passive:!0}),this.input.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.input.element.addEventListener(\"blur\",this._onBlur,{passive:!0}),this.input.element.form&&this.input.element.form.addEventListener(\"reset\",this._onFormReset,{passive:!0}),this.input.addEventListeners()},r._removeEventListeners=function(){var e=document.documentElement;e.removeEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.removeEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.removeEventListener(\"mousedown\",this._onMouseDown,!0),e.removeEventListener(\"click\",this._onClick),e.removeEventListener(\"touchmove\",this._onTouchMove),this.dropdown.element.removeEventListener(\"mouseover\",this._onMouseOver),this._isSelectOneElement&&(this.containerOuter.element.removeEventListener(\"focus\",this._onFocus),this.containerOuter.element.removeEventListener(\"blur\",this._onBlur)),this.input.element.removeEventListener(\"keyup\",this._onKeyUp),this.input.element.removeEventListener(\"focus\",this._onFocus),this.input.element.removeEventListener(\"blur\",this._onBlur),this.input.element.form&&this.input.element.form.removeEventListener(\"reset\",this._onFormReset),this.input.removeEventListeners()},r._onKeyDown=function(e){var t,i=e.target,n=e.keyCode,s=e.ctrlKey,r=e.metaKey,o=this._store.activeItems,a=this.input.isFocussed,c=this.dropdown.isActive,l=this.itemList.hasChildren(),h=String.fromCharCode(n),u=J,d=Y,p=Z,m=Q,f=ee,v=te,g=ie,_=ne,b=se,y=s||r;!this._isTextElement&&/[a-zA-Z0-9-_ ]/.test(h)&&this.showDropdown();var E=((t={})[m]=this._onAKey,t[p]=this._onEnterKey,t[f]=this._onEscapeKey,t[v]=this._onDirectionKey,t[_]=this._onDirectionKey,t[g]=this._onDirectionKey,t[b]=this._onDirectionKey,t[d]=this._onDeleteKey,t[u]=this._onDeleteKey,t);E[n]&&E[n]({event:e,target:i,keyCode:n,metaKey:r,activeItems:o,hasFocusedInput:a,hasActiveDropdown:c,hasItems:l,hasCtrlDownKeyPressed:y})},r._onKeyUp=function(e){var t=e.target,i=e.keyCode,n=this.input.value,s=this._store.activeItems,r=this._canAddItem(s,n),o=J,a=Y;if(this._isTextElement)if(r.notice&&n){var c=this._getTemplate(\"notice\",r.notice);this.dropdown.element.innerHTML=c.outerHTML,this.showDropdown(!0)}else this.hideDropdown(!0);else{var l=(i===o||i===a)&&!t.value,h=!this._isTextElement&&this._isSearching,u=this._canSearch&&r.response;l&&h?(this._isSearching=!1,this._store.dispatch(be(!0))):u&&this._handleSearch(this.input.value)}this._canSearch=this.config.searchEnabled},r._onAKey=function(e){var t=e.hasItems;e.hasCtrlDownKeyPressed&&t&&(this._canSearch=!1,this.config.removeItems&&!this.input.value&&this.input.element===document.activeElement&&this.highlightAll())},r._onEnterKey=function(e){var t=e.event,i=e.target,n=e.activeItems,s=e.hasActiveDropdown,r=Z,o=i.hasAttribute(\"data-button\");if(this._isTextElement&&i.value){var a=this.input.value;this._canAddItem(n,a).response&&(this.hideDropdown(!0),this._addItem({value:a}),this._triggerChange(a),this.clearInput())}if(o&&(this._handleButtonAction(n,i),t.preventDefault()),s){var c=this.dropdown.getChild(\".\"+this.config.classNames.highlightedState);c&&(n[0]&&(n[0].keyCode=r),this._handleChoiceAction(n,c)),t.preventDefault()}else this._isSelectOneElement&&(this.showDropdown(),t.preventDefault())},r._onEscapeKey=function(e){e.hasActiveDropdown&&(this.hideDropdown(!0),this.containerOuter.focus())},r._onDirectionKey=function(e){var t,i,n,s=e.event,r=e.hasActiveDropdown,o=e.keyCode,a=e.metaKey,c=ie,l=ne,h=se;if(r||this._isSelectOneElement){this.showDropdown(),this._canSearch=!1;var u,d=o===c||o===h?1:-1,p=\"[data-choice-selectable]\";if(a||o===h||o===l)u=d>0?this.dropdown.element.querySelector(\"[data-choice-selectable]:last-of-type\"):this.dropdown.element.querySelector(p);else{var m=this.dropdown.element.querySelector(\".\"+this.config.classNames.highlightedState);u=m?function(e,t,i){if(void 0===i&&(i=1),e instanceof Element&&\"string\"==typeof t){for(var n=(i>0?\"next\":\"previous\")+\"ElementSibling\",s=e[n];s;){if(s.matches(t))return s;s=s[n]}return s}}(m,p,d):this.dropdown.element.querySelector(p)}u&&(t=u,i=this.choiceList.element,void 0===(n=d)&&(n=1),t&&(n>0?i.scrollTop+i.offsetHeight>=t.offsetTop+t.offsetHeight:t.offsetTop>=i.scrollTop)||this.choiceList.scrollToChildElement(u,d),this._highlightChoice(u)),s.preventDefault()}},r._onDeleteKey=function(e){var t=e.event,i=e.target,n=e.hasFocusedInput,s=e.activeItems;!n||i.value||this._isSelectOneElement||(this._handleBackspace(s),t.preventDefault())},r._onTouchMove=function(){this._wasTap&&(this._wasTap=!1)},r._onTouchEnd=function(e){var t=(e||e.touches[0]).target;this._wasTap&&this.containerOuter.element.contains(t)&&((t===this.containerOuter.element||t===this.containerInner.element)&&(this._isTextElement?this.input.focus():this._isSelectMultipleElement&&this.showDropdown()),e.stopPropagation()),this._wasTap=!0},r._onMouseDown=function(e){var t=e.target;if(t instanceof HTMLElement){if(we&&this.choiceList.element.contains(t)){var i=this.choiceList.element.firstElementChild,n=\"ltr\"===this._direction?e.offsetX>=i.offsetWidth:e.offsetX0&&this.unhighlightAll(),this.containerOuter.removeFocusState(),this.hideDropdown(!0))},r._onFocus=function(e){var t,i=this,n=e.target;this.containerOuter.element.contains(n)&&((t={}).text=function(){n===i.input.element&&i.containerOuter.addFocusState()},t[\"select-one\"]=function(){i.containerOuter.addFocusState(),n===i.input.element&&i.showDropdown(!0)},t[\"select-multiple\"]=function(){n===i.input.element&&(i.showDropdown(!0),i.containerOuter.addFocusState())},t)[this.passedElement.element.type]()},r._onBlur=function(e){var t=this,i=e.target;if(this.containerOuter.element.contains(i)&&!this._isScrollingOnIe){var n,s=this._store.activeItems.some((function(e){return e.highlighted}));((n={}).text=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),s&&t.unhighlightAll(),t.hideDropdown(!0))},n[\"select-one\"]=function(){t.containerOuter.removeFocusState(),(i===t.input.element||i===t.containerOuter.element&&!t._canSearch)&&t.hideDropdown(!0)},n[\"select-multiple\"]=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),t.hideDropdown(!0),s&&t.unhighlightAll())},n)[this.passedElement.element.type]()}else this._isScrollingOnIe=!1,this.input.element.focus()},r._onFormReset=function(){this._store.dispatch({type:\"RESET_TO\",state:this._initialState})},r._highlightChoice=function(e){var t=this;void 0===e&&(e=null);var i=Array.from(this.dropdown.element.querySelectorAll(\"[data-choice-selectable]\"));if(i.length){var n=e;Array.from(this.dropdown.element.querySelectorAll(\".\"+this.config.classNames.highlightedState)).forEach((function(e){e.classList.remove(t.config.classNames.highlightedState),e.setAttribute(\"aria-selected\",\"false\")})),n?this._highlightPosition=i.indexOf(n):(n=i.length>this._highlightPosition?i[this._highlightPosition]:i[i.length-1])||(n=i[0]),n.classList.add(this.config.classNames.highlightedState),n.setAttribute(\"aria-selected\",\"true\"),this.passedElement.triggerEvent(B,{el:n}),this.dropdown.isActive&&(this.input.setActiveDescendant(n.id),this.containerOuter.setActiveDescendant(n.id))}},r._addItem=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.choiceId,r=void 0===s?-1:s,o=e.groupId,a=void 0===o?-1:o,c=e.customProperties,l=void 0===c?null:c,h=e.placeholder,u=void 0!==h&&h,d=e.keyCode,p=void 0===d?null:d,m=\"string\"==typeof t?t.trim():t,f=p,v=l,g=this._store.items,_=n||m,b=r||-1,y=a>=0?this._store.getGroupById(a):null,E=g?g.length+1:1;return this.config.prependValue&&(m=this.config.prependValue+m.toString()),this.config.appendValue&&(m+=this.config.appendValue.toString()),this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.choiceId,r=e.groupId,o=e.customProperties,a=e.placeholder,c=e.keyCode;return{type:W,value:t,label:i,id:n,choiceId:s,groupId:r,customProperties:o,placeholder:a,keyCode:c}}({value:m,label:_,id:E,choiceId:b,groupId:a,customProperties:l,placeholder:u,keyCode:f})),this._isSelectOneElement&&this.removeActiveItems(E),this.passedElement.triggerEvent(K,{id:E,value:m,label:_,customProperties:v,groupValue:y&&y.value?y.value:void 0,keyCode:f}),this},r._removeItem=function(e){if(!e||!E(\"Object\",e))return this;var t=e.id,i=e.value,n=e.label,s=e.choiceId,r=e.groupId,o=r>=0?this._store.getGroupById(r):null;return this._store.dispatch(function(e,t){return{type:X,id:e,choiceId:t}}(t,s)),o&&o.value?this.passedElement.triggerEvent(R,{id:t,value:i,label:n,groupValue:o.value}):this.passedElement.triggerEvent(R,{id:t,value:i,label:n}),this},r._addChoice=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.isSelected,r=void 0!==s&&s,o=e.isDisabled,a=void 0!==o&&o,c=e.groupId,l=void 0===c?-1:c,h=e.customProperties,u=void 0===h?null:h,d=e.placeholder,p=void 0!==d&&d,m=e.keyCode,f=void 0===m?null:m;if(null!=t){var v=this._store.choices,g=n||t,_=v?v.length+1:1,b=this._baseId+\"-\"+this._idNames.itemChoice+\"-\"+_;this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.groupId,r=e.disabled,o=e.elementId,a=e.customProperties,c=e.placeholder,l=e.keyCode;return{type:V,value:t,label:i,id:n,groupId:s,disabled:r,elementId:o,customProperties:a,placeholder:c,keyCode:l}}({id:_,groupId:l,elementId:b,value:t,label:g,disabled:a,customProperties:u,placeholder:p,keyCode:f})),r&&this._addItem({value:t,label:g,choiceId:_,customProperties:u,placeholder:p,keyCode:f})}},r._addGroup=function(e){var t=this,i=e.group,n=e.id,s=e.valueKey,r=void 0===s?\"value\":s,o=e.labelKey,a=void 0===o?\"label\":o,c=E(\"Object\",i)?i.choices:Array.from(i.getElementsByTagName(\"OPTION\")),l=n||Math.floor((new Date).valueOf()*Math.random()),h=!!i.disabled&&i.disabled;c?(this._store.dispatch(Ee({value:i.label,id:l,active:!0,disabled:h})),c.forEach((function(e){var i=e.disabled||e.parentNode&&e.parentNode.disabled;t._addChoice({value:e[r],label:E(\"Object\",e)?e[a]:e.innerHTML,isSelected:e.selected,isDisabled:i,groupId:l,customProperties:e.customProperties,placeholder:e.placeholder})}))):this._store.dispatch(Ee({value:i.label,id:i.id,active:!1,disabled:i.disabled}))},r._getTemplate=function(e){var t;if(!e)return null;for(var i=this.config.classNames,n=arguments.length,s=new Array(n>1?n-1:0),r=1;r{var e;return this.input_el.name=null!==(e=this.model.name)&&void 0!==e?e:\"\"})),this.connect(this.model.properties.value.change,(()=>{this.input_el.value=this.format_value,this.old_value=this.input_el.value})),this.connect(this.model.properties.low.change,(()=>{const{value:e,low:t,high:l}=this.model;null!=t&&null!=l&&(0,p.assert)(t<=l,\"Invalid bounds, low must be inferior to high\"),null!=e&&null!=t&&e{const{value:e,low:t,high:l}=this.model;null!=t&&null!=l&&(0,p.assert)(l>=t,\"Invalid bounds, high must be superior to low\"),null!=e&&null!=l&&e>l&&(this.model.value=l)})),this.connect(this.model.properties.high.change,(()=>this.input_el.placeholder=this.model.placeholder)),this.connect(this.model.properties.disabled.change,(()=>this.input_el.disabled=this.model.disabled)),this.connect(this.model.properties.placeholder.change,(()=>this.input_el.placeholder=this.model.placeholder))}get format_value(){return null!=this.model.value?this.model.pretty(this.model.value):\"\"}_set_input_filter(e){this.input_el.addEventListener(\"input\",(()=>{const{selectionStart:t,selectionEnd:l}=this.input_el;if(e(this.input_el.value))this.old_value=this.input_el.value;else{const e=this.old_value.length-this.input_el.value.length;this.input_el.value=this.old_value,t&&l&&this.input_el.setSelectionRange(t-1,l+e)}}))}render(){super.render(),this.input_el=(0,r.input)({type:\"text\",class:_.input,name:this.model.name,value:this.format_value,disabled:this.model.disabled,placeholder:this.model.placeholder}),this.old_value=this.format_value,this.set_input_filter(),this.input_el.addEventListener(\"change\",(()=>this.change_input())),this.input_el.addEventListener(\"focusout\",(()=>this.input_el.value=this.format_value)),this.group_el.appendChild(this.input_el)}set_input_filter(){\"int\"==this.model.mode?this._set_input_filter((e=>m.test(e))):\"float\"==this.model.mode&&this._set_input_filter((e=>c.test(e)))}bound_value(e){let t=e;const{low:l,high:i}=this.model;return t=null!=l?Math.max(l,t):t,t=null!=i?Math.min(i,t):t,t}get value(){let e=\"\"!=this.input_el.value?Number(this.input_el.value):null;return null!=e&&(e=this.bound_value(e)),e}change_input(){null==this.value?this.model.value=null:Number.isNaN(this.value)||(this.model.value=this.value)}}l.NumericInputView=v,v.__name__=\"NumericInputView\";class g extends o.InputWidget{constructor(e){super(e)}_formatter(e,t){return(0,d.isString)(t)?h.format(e,t):t.doFormat([e],{loc:0})[0]}pretty(e){return null!=this.format?this._formatter(e,this.format):`${e}`}}l.NumericInput=g,u=g,g.__name__=\"NumericInput\",u.prototype.default_view=v,u.define((({Number:e,String:t,Enum:l,Ref:i,Or:n,Nullable:s})=>({value:[s(e),null],placeholder:[t,\"\"],mode:[l(\"int\",\"float\"),\"int\"],format:[s(n(t,i(a.TickFormatter))),null],low:[s(e),null],high:[s(e),null]})))},\n", " 475: function _(e,t,r,s,n){var a;s();const o=e(464),_=e(43);class p extends o.MarkupView{render(){super.render();const e=(0,_.pre)({style:{overflow:\"auto\"}},this.model.text);this.markup_el.appendChild(e)}}r.PreTextView=p,p.__name__=\"PreTextView\";class u extends o.Markup{constructor(e){super(e)}}r.PreText=u,a=u,u.__name__=\"PreText\",a.prototype.default_view=p},\n", " 476: function _(t,o,e,a,i){a();const n=t(1);var u;const s=t(449),c=t(43),_=(0,n.__importStar)(t(318));class r extends s.ButtonGroupView{change_active(t){this.model.active!==t&&(this.model.active=t)}_update_active(){const{active:t}=this.model;this._buttons.forEach(((o,e)=>{(0,c.classes)(o).toggle(_.active,t===e)}))}}e.RadioButtonGroupView=r,r.__name__=\"RadioButtonGroupView\";class l extends s.ButtonGroup{constructor(t){super(t)}}e.RadioButtonGroup=l,u=l,l.__name__=\"RadioButtonGroup\",u.prototype.default_view=r,u.define((({Int:t,Nullable:o})=>({active:[o(t),null]})))},\n", " 477: function _(e,n,i,t,a){t();const s=e(1);var l;const o=e(43),d=e(34),p=e(452),r=(0,s.__importStar)(e(446));class u extends p.InputGroupView{render(){super.render();const e=(0,o.div)({class:[r.input_group,this.model.inline?r.inline:null]});this.el.appendChild(e);const n=(0,d.uniqueId)(),{active:i,labels:t}=this.model;this._inputs=[];for(let a=0;athis.change_active(a))),this._inputs.push(s),this.model.disabled&&(s.disabled=!0),a==i&&(s.checked=!0);const l=(0,o.label)(s,(0,o.span)(t[a]));e.appendChild(l)}}change_active(e){this.model.active=e}}i.RadioGroupView=u,u.__name__=\"RadioGroupView\";class c extends p.InputGroup{constructor(e){super(e)}}i.RadioGroup=c,l=c,c.__name__=\"RadioGroup\",l.prototype.default_view=u,l.define((({Boolean:e,Int:n,String:i,Array:t,Nullable:a})=>({active:[a(n),null],labels:[t(i),[]],inline:[e,!1]})))},\n", " 478: function _(e,r,t,a,i){a();var n;const o=(0,e(1).__importStar)(e(153)),s=e(458),_=e(8);class d extends s.AbstractRangeSliderView{}t.RangeSliderView=d,d.__name__=\"RangeSliderView\";class c extends s.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}_formatter(e,r){return(0,_.isString)(r)?o.format(e,r):r.compute(e)}}t.RangeSlider=c,n=c,c.__name__=\"RangeSlider\",n.prototype.default_view=d,n.override({format:\"0[.]00\"})},\n", " 479: function _(e,t,n,s,i){s();const l=e(1);var u;const a=e(43),o=e(8),p=e(13),_=e(445),r=(0,l.__importStar)(e(446));class c extends _.InputWidgetView{constructor(){super(...arguments),this._known_values=new Set}connect_signals(){super.connect_signals();const{value:e,options:t}=this.model.properties;this.on_change(e,(()=>{this._update_value()})),this.on_change(t,(()=>{(0,a.empty)(this.input_el),(0,a.append)(this.input_el,...this.options_el()),this._update_value()}))}options_el(){const{_known_values:e}=this;function t(t){return t.map((t=>{let n,s;return(0,o.isString)(t)?n=s=t:[n,s]=t,e.add(n),(0,a.option)({value:n},s)}))}e.clear();const{options:n}=this.model;return(0,o.isArray)(n)?t(n):(0,p.entries)(n).map((([e,n])=>(0,a.optgroup)({label:e},t(n))))}render(){super.render(),this.input_el=(0,a.select)({class:r.input,name:this.model.name,disabled:this.model.disabled},this.options_el()),this._update_value(),this.input_el.addEventListener(\"change\",(()=>this.change_input())),this.group_el.appendChild(this.input_el)}change_input(){const e=this.input_el.value;this.model.value=e,super.change_input()}_update_value(){const{value:e}=this.model;this._known_values.has(e)?this.input_el.value=e:this.input_el.removeAttribute(\"value\")}}n.SelectView=c,c.__name__=\"SelectView\";class h extends _.InputWidget{constructor(e){super(e)}}n.Select=h,u=h,h.__name__=\"Select\",u.prototype.default_view=c,u.define((({String:e,Array:t,Tuple:n,Dict:s,Or:i})=>{const l=t(i(e,n(e,e)));return{value:[e,\"\"],options:[i(l,s(l)),[]]}}))},\n", " 480: function _(e,t,r,i,a){i();var o;const s=(0,e(1).__importStar)(e(153)),_=e(458),n=e(8);class c extends _.AbstractSliderView{}r.SliderView=c,c.__name__=\"SliderView\";class d extends _.AbstractSlider{constructor(e){super(e),this.behaviour=\"tap\",this.connected=[!0,!1]}_formatter(e,t){return(0,n.isString)(t)?s.format(e,t):t.compute(e)}}r.Slider=d,o=d,d.__name__=\"Slider\",o.prototype.default_view=c,o.override({format:\"0[.]00\"})},\n", " 481: function _(e,t,i,n,s){var l;n();const o=e(474),r=e(43),{min:a,max:h,floor:_,abs:u}=Math;function d(e){return _(e)!==e?e.toFixed(16).replace(/0+$/,\"\").split(\".\")[1].length:0}class p extends o.NumericInputView{*buttons(){yield this.btn_up_el,yield this.btn_down_el}initialize(){super.initialize(),this._handles={interval:void 0,timeout:void 0},this._interval=200}connect_signals(){super.connect_signals();const e=this.model.properties;this.on_change(e.disabled,(()=>{for(const e of this.buttons())(0,r.toggle_attribute)(e,\"disabled\",this.model.disabled)}))}render(){super.render(),this.wrapper_el=(0,r.div)({class:\"bk-spin-wrapper\"}),this.group_el.replaceChild(this.wrapper_el,this.input_el),this.btn_up_el=(0,r.button)({class:\"bk-spin-btn bk-spin-btn-up\"}),this.btn_down_el=(0,r.button)({class:\"bk-spin-btn bk-spin-btn-down\"}),this.wrapper_el.appendChild(this.input_el),this.wrapper_el.appendChild(this.btn_up_el),this.wrapper_el.appendChild(this.btn_down_el);for(const e of this.buttons())(0,r.toggle_attribute)(e,\"disabled\",this.model.disabled),e.addEventListener(\"mousedown\",(e=>this._btn_mouse_down(e))),e.addEventListener(\"mouseup\",(()=>this._btn_mouse_up())),e.addEventListener(\"mouseleave\",(()=>this._btn_mouse_leave()));this.input_el.addEventListener(\"keydown\",(e=>this._input_key_down(e))),this.input_el.addEventListener(\"keyup\",(()=>this.model.value_throttled=this.model.value)),this.input_el.addEventListener(\"wheel\",(e=>this._input_mouse_wheel(e))),this.input_el.addEventListener(\"wheel\",function(e,t,i=!1){let n;return function(...s){const l=this,o=i&&void 0===n;void 0!==n&&clearTimeout(n),n=setTimeout((function(){n=void 0,i||e.apply(l,s)}),t),o&&e.apply(l,s)}}((()=>{this.model.value_throttled=this.model.value}),this.model.wheel_wait,!1))}get precision(){const{low:e,high:t,step:i}=this.model,n=d;return h(n(u(null!=e?e:0)),n(u(null!=t?t:0)),n(u(i)))}remove(){this._stop_incrementation(),super.remove()}_start_incrementation(e){clearInterval(this._handles.interval),this._counter=0;const{step:t}=this.model,i=e=>{if(this._counter+=1,this._counter%5==0){const t=Math.floor(this._counter/5);t<10?(clearInterval(this._handles.interval),this._handles.interval=setInterval((()=>i(e)),this._interval/(t+1))):t>=10&&t<=13&&(clearInterval(this._handles.interval),this._handles.interval=setInterval((()=>i(2*e)),this._interval/10))}this.increment(e)};this._handles.interval=setInterval((()=>i(e*t)),this._interval)}_stop_incrementation(){clearTimeout(this._handles.timeout),this._handles.timeout=void 0,clearInterval(this._handles.interval),this._handles.interval=void 0,this.model.value_throttled=this.model.value}_btn_mouse_down(e){e.preventDefault();const t=e.currentTarget===this.btn_up_el?1:-1;this.increment(t*this.model.step),this.input_el.focus(),this._handles.timeout=setTimeout((()=>this._start_incrementation(t)),this._interval)}_btn_mouse_up(){this._stop_incrementation()}_btn_mouse_leave(){this._stop_incrementation()}_input_mouse_wheel(e){if(document.activeElement===this.input_el){e.preventDefault();const t=e.deltaY>0?-1:1;this.increment(t*this.model.step)}}_input_key_down(e){switch(e.keyCode){case r.Keys.Up:return e.preventDefault(),this.increment(this.model.step);case r.Keys.Down:return e.preventDefault(),this.increment(-this.model.step);case r.Keys.PageUp:return e.preventDefault(),this.increment(this.model.page_step_multiplier*this.model.step);case r.Keys.PageDown:return e.preventDefault(),this.increment(-this.model.page_step_multiplier*this.model.step)}}adjust_to_precision(e){return this.bound_value(Number(e.toFixed(this.precision)))}increment(e){const{low:t,high:i}=this.model;null==this.model.value?e>0?this.model.value=null!=t?t:null!=i?a(0,i):0:e<0&&(this.model.value=null!=i?i:null!=t?h(t,0):0):this.model.value=this.adjust_to_precision(this.model.value+e)}change_input(){super.change_input(),this.model.value_throttled=this.model.value}}i.SpinnerView=p,p.__name__=\"SpinnerView\";class m extends o.NumericInput{constructor(e){super(e)}}i.Spinner=m,l=m,m.__name__=\"Spinner\",l.prototype.default_view=p,l.define((({Number:e,Nullable:t})=>({value_throttled:[t(e),null],step:[e,1],page_step_multiplier:[e,10],wheel_wait:[e,100]}))),l.override({mode:\"float\"})},\n", " 482: function _(e,t,s,n,i){n();const o=e(1);var r;const c=e(444),l=e(43),p=(0,o.__importStar)(e(446));class _ extends c.TextLikeInputView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.rows.change,(()=>this.input_el.rows=this.model.rows)),this.connect(this.model.properties.cols.change,(()=>this.input_el.cols=this.model.cols))}_render_input(){this.input_el=(0,l.textarea)({class:p.input})}render(){super.render(),this.input_el.cols=this.model.cols,this.input_el.rows=this.model.rows}}s.TextAreaInputView=_,_.__name__=\"TextAreaInputView\";class a extends c.TextLikeInput{constructor(e){super(e)}}s.TextAreaInput=a,r=a,a.__name__=\"TextAreaInput\",r.prototype.default_view=_,r.define((({Int:e})=>({cols:[e,20],rows:[e,2]}))),r.override({max_length:500})},\n", " 483: function _(e,t,s,c,i){c();const o=e(1);var a;const n=e(438),l=e(43),_=(0,o.__importStar)(e(318));class r extends n.AbstractButtonView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,(()=>this._update_active()))}render(){super.render(),this._update_active()}click(){this.model.active=!this.model.active,super.click()}_update_active(){(0,l.classes)(this.button_el).toggle(_.active,this.model.active)}}s.ToggleView=r,r.__name__=\"ToggleView\";class g extends n.AbstractButton{constructor(e){super(e)}}s.Toggle=g,a=g,g.__name__=\"Toggle\",a.prototype.default_view=r,a.define((({Boolean:e})=>({active:[e,!1]}))),a.override({label:\"Toggle\"})},\n", " }, 436, {\"models/widgets/main\":436,\"models/widgets/index\":437,\"models/widgets/abstract_button\":438,\"models/widgets/control\":439,\"models/widgets/widget\":508,\"models/widgets/abstract_icon\":441,\"models/widgets/autocomplete_input\":442,\"models/widgets/text_input\":443,\"models/widgets/text_like_input\":444,\"models/widgets/input_widget\":445,\"styles/widgets/inputs.css\":446,\"models/widgets/button\":447,\"models/widgets/checkbox_button_group\":448,\"models/widgets/button_group\":449,\"models/widgets/oriented_control\":450,\"models/widgets/checkbox_group\":451,\"models/widgets/input_group\":452,\"models/widgets/color_picker\":453,\"models/widgets/date_picker\":454,\"styles/widgets/flatpickr.css\":456,\"models/widgets/date_range_slider\":457,\"models/widgets/abstract_slider\":458,\"styles/widgets/sliders.css\":460,\"styles/widgets/nouislider.css\":461,\"models/widgets/date_slider\":462,\"models/widgets/div\":463,\"models/widgets/markup\":464,\"styles/clearfix.css\":465,\"models/widgets/dropdown\":466,\"models/widgets/file_input\":467,\"models/widgets/multiselect\":468,\"models/widgets/paragraph\":469,\"models/widgets/password_input\":470,\"models/widgets/multichoice\":471,\"styles/widgets/choices.css\":473,\"models/widgets/numeric_input\":474,\"models/widgets/pretext\":475,\"models/widgets/radio_button_group\":476,\"models/widgets/radio_group\":477,\"models/widgets/range_slider\":478,\"models/widgets/selectbox\":479,\"models/widgets/slider\":480,\"models/widgets/spinner\":481,\"models/widgets/textarea_input\":482,\"models/widgets/toggle\":483}, {});});\n", "\n", " /* END bokeh-widgets.min.js */\n", " },\n", " \n", " function(Bokeh) {\n", " /* BEGIN bokeh-tables.min.js */\n", " /*!\n", " * Copyright (c) 2012 - 2021, Anaconda, Inc., and Bokeh Contributors\n", " * All rights reserved.\n", " * \n", " * Redistribution and use in source and binary forms, with or without modification,\n", " * are permitted provided that the following conditions are met:\n", " * \n", " * Redistributions of source code must retain the above copyright notice,\n", " * this list of conditions and the following disclaimer.\n", " * \n", " * Redistributions in binary form must reproduce the above copyright notice,\n", " * this list of conditions and the following disclaimer in the documentation\n", " * and/or other materials provided with the distribution.\n", " * \n", " * Neither the name of Anaconda nor the names of any contributors\n", " * may be used to endorse or promote products derived from this software\n", " * without specific prior written permission.\n", " * \n", " * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n", " * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n", " * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n", " * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n", " * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n", " * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n", " * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n", " * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n", " * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n", " * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n", " * THE POSSIBILITY OF SUCH DAMAGE.\n", " */\n", " (function(root, factory) {\n", " factory(root[\"Bokeh\"], \"2.4.1\");\n", " })(this, function(Bokeh, version) {\n", " let define;\n", " return (function(modules, entry, aliases, externals) {\n", " const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n", " if (bokeh != null) {\n", " return bokeh.register_plugin(modules, entry, aliases);\n", " } else {\n", " throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n", " }\n", " })\n", " ({\n", " 484: function _(t,e,o,r,s){r();const _=(0,t(1).__importStar)(t(485));o.Tables=_;(0,t(7).register_models)(_)},\n", " 485: function _(g,a,r,e,t){e();const o=g(1);(0,o.__exportStar)(g(486),r),(0,o.__exportStar)(g(489),r),t(\"DataTable\",g(492).DataTable),t(\"TableColumn\",g(510).TableColumn),t(\"TableWidget\",g(509).TableWidget);var n=g(512);t(\"AvgAggregator\",n.AvgAggregator),t(\"MinAggregator\",n.MinAggregator),t(\"MaxAggregator\",n.MaxAggregator),t(\"SumAggregator\",n.SumAggregator);var A=g(513);t(\"GroupingInfo\",A.GroupingInfo),t(\"DataCube\",A.DataCube)},\n", " 486: function _(e,t,i,s,a){s();const r=e(1);var l,n,u,d,o,p,_,c,h;const E=e(43),V=e(226),m=e(53),f=e(487),v=(0,r.__importStar)(e(488));class w extends V.DOMView{constructor(e){const{model:t,parent:i}=e.column;super(Object.assign({model:t,parent:i},e)),this.args=e,this.initialize(),this.render()}get emptyValue(){return null}initialize(){super.initialize(),this.inputEl=this._createInput(),this.defaultValue=null}async lazy_initialize(){throw new Error(\"unsupported\")}css_classes(){return super.css_classes().concat(v.cell_editor)}render(){super.render(),this.args.container.append(this.el),this.el.appendChild(this.inputEl),this.renderEditor(),this.disableNavigation()}renderEditor(){}disableNavigation(){this.inputEl.addEventListener(\"keydown\",(e=>{switch(e.keyCode){case E.Keys.Left:case E.Keys.Right:case E.Keys.Up:case E.Keys.Down:case E.Keys.PageUp:case E.Keys.PageDown:e.stopImmediatePropagation()}}))}destroy(){this.remove()}focus(){this.inputEl.focus()}show(){}hide(){}position(){}getValue(){return this.inputEl.value}setValue(e){this.inputEl.value=e}serializeValue(){return this.getValue()}isValueChanged(){return!(\"\"==this.getValue()&&null==this.defaultValue)&&this.getValue()!==this.defaultValue}applyValue(e,t){const i=this.args.grid.getData(),s=i.index.indexOf(e[f.DTINDEX_NAME]);i.setField(s,this.args.column.field,t)}loadValue(e){const t=e[this.args.column.field];this.defaultValue=null!=t?t:this.emptyValue,this.setValue(this.defaultValue)}validateValue(e){if(this.args.column.validator){const t=this.args.column.validator(e);if(!t.valid)return t}return{valid:!0,msg:null}}validate(){return this.validateValue(this.getValue())}}i.CellEditorView=w,w.__name__=\"CellEditorView\";class g extends m.Model{}i.CellEditor=g,g.__name__=\"CellEditor\";class x extends w{get emptyValue(){return\"\"}_createInput(){return(0,E.input)({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}}i.StringEditorView=x,x.__name__=\"StringEditorView\";class y extends g{}i.StringEditor=y,l=y,y.__name__=\"StringEditor\",l.prototype.default_view=x,l.define((({String:e,Array:t})=>({completions:[t(e),[]]})));class I extends w{_createInput(){return(0,E.textarea)()}renderEditor(){this.inputEl.focus(),this.inputEl.select()}}i.TextEditorView=I,I.__name__=\"TextEditorView\";class b extends g{}i.TextEditor=b,n=b,b.__name__=\"TextEditor\",n.prototype.default_view=I;class N extends w{_createInput(){return(0,E.select)()}renderEditor(){for(const e of this.model.options)this.inputEl.appendChild((0,E.option)({value:e},e));this.focus()}}i.SelectEditorView=N,N.__name__=\"SelectEditorView\";class C extends g{}i.SelectEditor=C,u=C,C.__name__=\"SelectEditor\",u.prototype.default_view=N,u.define((({String:e,Array:t})=>({options:[t(e),[]]})));class D extends w{_createInput(){return(0,E.input)({type:\"text\"})}}i.PercentEditorView=D,D.__name__=\"PercentEditorView\";class S extends g{}i.PercentEditor=S,d=S,S.__name__=\"PercentEditor\",d.prototype.default_view=D;class k extends w{_createInput(){return(0,E.input)({type:\"checkbox\"})}renderEditor(){this.focus()}loadValue(e){this.defaultValue=!!e[this.args.column.field],this.inputEl.checked=this.defaultValue}serializeValue(){return this.inputEl.checked}}i.CheckboxEditorView=k,k.__name__=\"CheckboxEditorView\";class z extends g{}i.CheckboxEditor=z,o=z,z.__name__=\"CheckboxEditor\",o.prototype.default_view=k;class P extends w{_createInput(){return(0,E.input)({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){var e;return null!==(e=parseInt(this.getValue(),10))&&void 0!==e?e:0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid integer\"}:super.validateValue(e)}}i.IntEditorView=P,P.__name__=\"IntEditorView\";class T extends g{}i.IntEditor=T,p=T,T.__name__=\"IntEditor\",p.prototype.default_view=P,p.define((({Int:e})=>({step:[e,1]})));class K extends w{_createInput(){return(0,E.input)({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){var e;return null!==(e=parseFloat(this.getValue()))&&void 0!==e?e:0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid number\"}:super.validateValue(e)}}i.NumberEditorView=K,K.__name__=\"NumberEditorView\";class A extends g{}i.NumberEditor=A,_=A,A.__name__=\"NumberEditor\",_.prototype.default_view=K,_.define((({Number:e})=>({step:[e,.01]})));class M extends w{_createInput(){return(0,E.input)({type:\"text\"})}}i.TimeEditorView=M,M.__name__=\"TimeEditorView\";class O extends g{}i.TimeEditor=O,c=O,O.__name__=\"TimeEditor\",c.prototype.default_view=M;class F extends 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\n", " \n", " \n", "
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\n", "
Dataset Statistics
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Number of Variables18
Number of Rows319795
Missing Cells0
Missing Cells (%)0.0%
Duplicate Rows18094
Duplicate Rows (%)5.7%
Total Size in Memory76.3 MB
Average Row Size in Memory250.2 B
Variable Types\n", "
    \n", " \n", "
  • Categorical: 13
    • \n", " \n", "
  • Numerical: 5
    • \n", " \n", "
\n", "
\n", "
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\n", "
Dataset Insights
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
\n", " PhysicalHealth and MentalHealth have similar distributions\n", " Similar Distribution
\n", " BMI is skewed\n", " Skewed
\n", " PhysicalHealth is skewed\n", " Skewed
\n", " MentalHealth is skewed\n", " Skewed
\n", " SleepTime is skewed\n", " Skewed
\n", " Dataset has 18094 (5.66%) duplicate rows\n", " Duplicates
\n", " HeartDisease has constant length 1\n", " Constant Length
\n", " Smoking has constant length 1\n", " Constant Length
\n", " AlcoholDrinking has constant length 1\n", " Constant Length
\n", " Stroke has constant length 1\n", " Constant Length
\n", "
\n", " \n", "
\n", "
Dataset Insights
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
\n", " DiffWalking has constant length 1\n", " Constant Length
\n", " Sex has constant length 1\n", " Constant Length
\n", " PhysicalActivity has constant length 1\n", " Constant Length
\n", " GenHealth has constant length 1\n", " Constant Length
\n", " Asthma has constant length 1\n", " Constant Length
\n", " KidneyDisease has constant length 1\n", " Constant Length
\n", " SkinCancer has constant length 1\n", " Constant Length
\n", " PhysicalHealth has 226589 (70.85%) zeros\n", " Zeros
\n", " MentalHealth has 205401 (64.23%) zeros\n", " Zeros
\n", "
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\n", "
    \n", " \n", " \n", "
  • 1
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  • 2
    • \n", " \n", " \n", "
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Number of plots per page:

\n", "\t \n", " \n", " \n", "
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HeartDisease
\n", "
\n", " \n", "
\n", " \n", " \n", "
\n", " \n", "
\n", "
'bar.bars': 10
\n", "
Maximum number of bars to display
\n", "
\n", " \n", "
\n", "
'bar.sort_descending': True
\n", "
Whether to sort the bars in descending order
\n", "
\n", " \n", "
\n", "
'bar.yscale': 'linear'
\n", "
Y-axis scale (\"linear\" or \"log\")
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\n", "
Column Insights
\n", "
    \n", " \n", "
  1. \n", " HeartDisease has constant length 1\n", "
    2. \n", " \n", "
\n", "
\n", "
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\n", " \n", "\n", " \n", "
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BMI
\n", "
\n", " \n", "
\n", " \n", " \n", "
\n", " \n", "
\n", "
'hist.bins': 50
\n", "
Number of bins in the histogram
\n", "
\n", " \n", "
\n", "
'hist.yscale': 'linear'
\n", "
Y-axis scale (\"linear\" or \"log\")
\n", "
\n", " \n", "
\n", "
'hist.color': '#aec7e8'
\n", "
Color
\n", "
\n", " \n", " \n", "
\n", "
\n", " \n", " \n", "
\n", " \n", " \n", "
\n", "
Column Insights
\n", "
    \n", " \n", "
  1. \n", " BMI is skewed\n", "
    2. \n", " \n", "
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\n", " \n", "\n", " \n", "
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Smoking
\n", "
\n", " \n", "
\n", " \n", " \n", "
\n", " \n", "
\n", "
'bar.bars': 10
\n", "
Maximum number of bars to display
\n", "
\n", " \n", "
\n", "
'bar.sort_descending': True
\n", "
Whether to sort the bars in descending order
\n", "
\n", " \n", "
\n", "
'bar.yscale': 'linear'
\n", "
Y-axis scale (\"linear\" or \"log\")
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\n", "
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\n", " \n", " \n", "
\n", "
Column Insights
\n", "
    \n", " \n", "
  1. \n", " Smoking has constant length 1\n", "
    2. \n", " \n", "
\n", "
\n", "
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\n", " \n", "\n", " \n", "
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\n", "
AlcoholDrinking
\n", "
\n", " \n", "
\n", " \n", " \n", "
\n", " \n", "
\n", "
'bar.bars': 10
\n", "
Maximum number of bars to display
\n", "
\n", " \n", "
\n", "
'bar.sort_descending': True
\n", "
Whether to sort the bars in descending order
\n", "
\n", " \n", "
\n", "
'bar.yscale': 'linear'
\n", "
Y-axis scale (\"linear\" or \"log\")
\n", "
\n", " \n", " \n", "
\n", "
\n", " \n", " \n", "
\n", " \n", " \n", "
\n", "
Column Insights
\n", "
    \n", " \n", "
  1. \n", " AlcoholDrinking has constant length 1\n", "
    2. \n", " \n", "
\n", "
\n", "
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\n", " \n", "\n", " \n", "
\n", "
\n", " \n", "
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\n", "
Stroke
\n", "
\n", " \n", "
\n", " \n", " \n", "
\n", " \n", "
\n", "
'bar.bars': 10
\n", "
Maximum number of bars to display
\n", "
\n", " \n", "
\n", "
'bar.sort_descending': True
\n", "
Whether to sort the bars in descending order
\n", "
\n", " \n", "
\n", "
'bar.yscale': 'linear'
\n", "
Y-axis scale (\"linear\" or \"log\")
\n", "
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\n", "
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\n", " \n", " \n", "
\n", "
Column Insights
\n", "
    \n", " \n", "
  1. \n", " Stroke has constant length 1\n", "
    2. \n", " \n", "
\n", "
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\n", " \n", "\n", " \n", "
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PhysicalHealth
\n", "
\n", " \n", "
\n", " \n", " \n", "
\n", " \n", "
\n", "
'hist.bins': 50
\n", "
Number of bins in the histogram
\n", "
\n", " \n", "
\n", "
'hist.yscale': 'linear'
\n", "
Y-axis scale (\"linear\" or \"log\")
\n", "
\n", " \n", "
\n", "
'hist.color': '#aec7e8'
\n", "
Color
\n", "
\n", " \n", " \n", "
\n", "
\n", " \n", " \n", "
\n", " \n", " \n", "
\n", "
Column Insights
\n", "
    \n", " \n", "
  1. \n", " PhysicalHealth is skewed\n", "
    2. \n", " \n", "
  2. \n", " PhysicalHealth has 226589 (70.85%) zeros\n", "
    3. \n", " \n", "
\n", "
\n", "
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\n", " \n", "\n", " \n", "
\n", "
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\n", "
MentalHealth
\n", "
\n", " \n", "
\n", " \n", " \n", "
\n", " \n", "
\n", "
'hist.bins': 50
\n", "
Number of bins in the histogram
\n", "
\n", " \n", "
\n", "
'hist.yscale': 'linear'
\n", "
Y-axis scale (\"linear\" or \"log\")
\n", "
\n", " \n", "
\n", "
'hist.color': '#aec7e8'
\n", "
Color
\n", "
\n", " \n", " \n", "
\n", "
\n", " \n", " \n", "
\n", " \n", " \n", "
\n", "
Column Insights
\n", "
    \n", " \n", "
  1. \n", " MentalHealth is skewed\n", "
    2. \n", " \n", "
  2. \n", " MentalHealth has 205401 (64.23%) zeros\n", "
    3. \n", " \n", "
\n", "
\n", "
\n", " \n", "
\n", " \n", "\n", " \n", "
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\n", " \n", "
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DiffWalking
\n", "
\n", " \n", "
\n", " \n", " \n", "
\n", " \n", "
\n", "
'bar.bars': 10
\n", "
Maximum number of bars to display
\n", "
\n", " \n", "
\n", "
'bar.sort_descending': True
\n", "
Whether to sort the bars in descending order
\n", "
\n", " \n", "
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'bar.yscale': 'linear'
\n", "
Y-axis scale (\"linear\" or \"log\")
\n", "
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\n", " \n", " \n", "
\n", "
Column Insights
\n", "
    \n", " \n", "
  1. \n", " DiffWalking has constant length 1\n", "
    2. \n", " \n", "
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Sex
\n", "
\n", " \n", "
\n", " \n", " \n", "
\n", " \n", "
\n", "
'bar.bars': 10
\n", "
Maximum number of bars to display
\n", "
\n", " \n", "
\n", "
'bar.sort_descending': True
\n", "
Whether to sort the bars in descending order
\n", "
\n", " \n", "
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'bar.yscale': 'linear'
\n", "
Y-axis scale (\"linear\" or \"log\")
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\n", " \n", " \n", "
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Column Insights
\n", "
    \n", " \n", "
  1. \n", " Sex has constant length 1\n", "
    2. \n", " \n", "
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\n", " \n", "\n", " \n", "
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Race
\n", "
\n", " \n", "
\n", " \n", " \n", "
\n", " \n", "
\n", "
'bar.bars': 10
\n", "
Maximum number of bars to display
\n", "
\n", " \n", "
\n", "
'bar.sort_descending': True
\n", "
Whether to sort the bars in descending order
\n", "
\n", " \n", "
\n", "
'bar.yscale': 'linear'
\n", "
Y-axis scale (\"linear\" or \"log\")
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Diabetic
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\n", " \n", "
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\n", " \n", "
\n", "
'bar.bars': 10
\n", "
Maximum number of bars to display
\n", "
\n", " \n", "
\n", "
'bar.sort_descending': True
\n", "
Whether to sort the bars in descending order
\n", "
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\n", "
'bar.yscale': 'linear'
\n", "
Y-axis scale (\"linear\" or \"log\")
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PhysicalActivity
\n", "
\n", " \n", "
\n", " \n", " \n", "
\n", " \n", "
\n", "
'bar.bars': 10
\n", "
Maximum number of bars to display
\n", "
\n", " \n", "
\n", "
'bar.sort_descending': True
\n", "
Whether to sort the bars in descending order
\n", "
\n", " \n", "
\n", "
'bar.yscale': 'linear'
\n", "
Y-axis scale (\"linear\" or \"log\")
\n", "
\n", " \n", " \n", "
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Column Insights
\n", "
    \n", " \n", "
  1. \n", " PhysicalActivity has constant length 1\n", "
    2. \n", " \n", "
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\n", "
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\n", " \n", "\n", " \n", "
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GenHealth
\n", "
\n", " \n", "
\n", " \n", " \n", "
\n", " \n", "
\n", "
'bar.bars': 10
\n", "
Maximum number of bars to display
\n", "
\n", " \n", "
\n", "
'bar.sort_descending': True
\n", "
Whether to sort the bars in descending order
\n", "
\n", " \n", "
\n", "
'bar.yscale': 'linear'
\n", "
Y-axis scale (\"linear\" or \"log\")
\n", "
\n", " \n", " \n", "
\n", "
\n", " \n", " \n", "
\n", " \n", " \n", "
\n", "
Column Insights
\n", "
    \n", " \n", "
  1. \n", " GenHealth has constant length 1\n", "
    2. \n", " \n", "
\n", "
\n", "
\n", " \n", "
\n", " \n", "\n", " \n", "
\n", "
\n", " \n", "
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\n", "
SleepTime
\n", "
\n", " \n", "
\n", " \n", " \n", "
\n", " \n", "
\n", "
'hist.bins': 50
\n", "
Number of bins in the histogram
\n", "
\n", " \n", "
\n", "
'hist.yscale': 'linear'
\n", "
Y-axis scale (\"linear\" or \"log\")
\n", "
\n", " \n", "
\n", "
'hist.color': '#aec7e8'
\n", "
Color
\n", "
\n", " \n", " \n", "
\n", "
\n", " \n", " \n", "
\n", " \n", " \n", "
\n", "
Column Insights
\n", "
    \n", " \n", "
  1. \n", " SleepTime is skewed\n", "
    2. \n", " \n", "
\n", "
\n", "
\n", " \n", "
\n", " \n", "\n", " \n", "
\n", "
\n", " \n", "
\n", " \n", "
\n", "
\n", "
Asthma
\n", "
\n", " \n", "
\n", " \n", " \n", "
\n", " \n", "
\n", "
'bar.bars': 10
\n", "
Maximum number of bars to display
\n", "
\n", " \n", "
\n", "
'bar.sort_descending': True
\n", "
Whether to sort the bars in descending order
\n", "
\n", " \n", "
\n", "
'bar.yscale': 'linear'
\n", "
Y-axis scale (\"linear\" or \"log\")
\n", "
\n", " \n", " \n", "
\n", "
\n", " \n", " \n", "
\n", " \n", " \n", "
\n", "
Column Insights
\n", "
    \n", " \n", "
  1. \n", " Asthma has constant length 1\n", "
    2. \n", " \n", "
\n", "
\n", "
\n", " \n", "
\n", " \n", "\n", " \n", "
\n", "
\n", " \n", "
\n", " \n", "
\n", "
\n", "
KidneyDisease
\n", "
\n", " \n", "
\n", " \n", " \n", "
\n", " \n", "
\n", "
'bar.bars': 10
\n", "
Maximum number of bars to display
\n", "
\n", " \n", "
\n", "
'bar.sort_descending': True
\n", "
Whether to sort the bars in descending order
\n", "
\n", " \n", "
\n", "
'bar.yscale': 'linear'
\n", "
Y-axis scale (\"linear\" or \"log\")
\n", "
\n", " \n", " \n", "
\n", "
\n", " \n", " \n", "
\n", " \n", " \n", "
\n", "
Column Insights
\n", "
    \n", " \n", "
  1. \n", " KidneyDisease has constant length 1\n", "
    2. \n", " \n", "
\n", "
\n", "
\n", " \n", "
\n", " \n", "\n", " \n", "
\n", "
\n", " \n", "
\n", " \n", "
\n", "
\n", "
SkinCancer
\n", "
\n", " \n", "
\n", " \n", " \n", "
\n", " \n", "
\n", "
'bar.bars': 10
\n", "
Maximum number of bars to display
\n", "
\n", " \n", "
\n", "
'bar.sort_descending': True
\n", "
Whether to sort the bars in descending order
\n", "
\n", " \n", "
\n", "
'bar.yscale': 'linear'
\n", "
Y-axis scale (\"linear\" or \"log\")
\n", "
\n", " \n", " \n", "
\n", "
\n", " \n", " \n", "
\n", " \n", " \n", "
\n", "
Column Insights
\n", "
    \n", " \n", "
  1. \n", " SkinCancer has constant length 1\n", "
    2. \n", " \n", "
\n", "
\n", "
\n", " \n", "
\n", " \n", "\n", " \n", "
\n", "
\n", " \n", "
\n", " \n", "
\n", "
\n", "
Age_temp
\n", "
\n", " \n", "
\n", " \n", " \n", "
\n", " \n", "
\n", "
'hist.bins': 50
\n", "
Number of bins in the histogram
\n", "
\n", " \n", "
\n", "
'hist.yscale': 'linear'
\n", "
Y-axis scale (\"linear\" or \"log\")
\n", "
\n", " \n", "
\n", "
'hist.color': '#aec7e8'
\n", "
Color
\n", "
\n", " \n", " \n", "
\n", "
\n", " \n", " \n", "
\n", " \n", "\n", " \n", "
\n", "
\n", " \n", "
\n", "
\n", "\n", "\n", "" ], "text/plain": [ "" ] }, "execution_count": 118, "metadata": {}, "output_type": "execute_result" } ], "source": [ "plot(df_temp)" ] }, { "cell_type": "code", "execution_count": 23, "id": "fa31c9d2", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "", "version_major": 2, "version_minor": 0 }, "text/plain": [ " 0%| | 0/2261 [00:00<…" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "error happended in column:HeartDisease\n" ] }, { "ename": "ImportError", "evalue": "The _imagingft C module is not installed", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mImportError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m~\\AppData\\Local\\Temp/ipykernel_29784/2537952997.py\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mcreate_report\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdf_temp\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\dataprep\\eda\\create_report\\__init__.py\u001b[0m in \u001b[0;36mcreate_report\u001b[1;34m(df, config, display, title, mode, progress)\u001b[0m\n\u001b[0;32m 66\u001b[0m \u001b[1;34m\"resources\"\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mINLINE\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrender\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 67\u001b[0m \u001b[1;34m\"title\"\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mtitle\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 68\u001b[1;33m \u001b[1;34m\"components\"\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mformat_report\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcfg\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmode\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mprogress\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 69\u001b[0m }\n\u001b[0;32m 70\u001b[0m \u001b[0mtemplate_base\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mENV_LOADER\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_template\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"base.html\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\dataprep\\eda\\create_report\\formatter.py\u001b[0m in \u001b[0;36mformat_report\u001b[1;34m(df, cfg, mode, progress)\u001b[0m\n\u001b[0;32m 76\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mmode\u001b[0m \u001b[1;33m==\u001b[0m \u001b[1;34m\"basic\"\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 77\u001b[0m \u001b[0medaframe\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mEDAFrame\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 78\u001b[1;33m \u001b[0mcomps\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mformat_basic\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0medaframe\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcfg\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 79\u001b[0m \u001b[1;31m# elif mode == \"full\":\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 80\u001b[0m \u001b[1;31m# comps = format_full(df)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\dataprep\\eda\\create_report\\formatter.py\u001b[0m in \u001b[0;36mformat_basic\u001b[1;34m(df, cfg)\u001b[0m\n\u001b[0;32m 289\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 290\u001b[0m \u001b[0mres_overview\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_format_overview\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcfg\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 291\u001b[1;33m \u001b[0mres_variables\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_format_variables\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcfg\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdata\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 292\u001b[0m \u001b[0mres_interaction\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_format_interaction\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcfg\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 293\u001b[0m \u001b[0mres_correlations\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_format_correlation\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcfg\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\dataprep\\eda\\create_report\\formatter.py\u001b[0m in \u001b[0;36m_format_variables\u001b[1;34m(df, cfg, data)\u001b[0m\n\u001b[0;32m 118\u001b[0m \u001b[1;32mraise\u001b[0m \u001b[0mRuntimeError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34mf\"the type of column {col} is unknown: {type(dtp)}\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 119\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 120\u001b[1;33m \u001b[0mrndrd\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mrender\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mitmdt\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcfg\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 121\u001b[0m \u001b[0mlayout\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mrndrd\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m\"layout\"\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 122\u001b[0m \u001b[0mfigs_var\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mList\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mFigure\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\dataprep\\eda\\distribution\\render.py\u001b[0m in \u001b[0;36mrender\u001b[1;34m(itmdt, cfg)\u001b[0m\n\u001b[0;32m 2471\u001b[0m \u001b[0mvisual_elem\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mrender_distribution_grid\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mitmdt\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcfg\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2472\u001b[0m \u001b[1;32melif\u001b[0m \u001b[0mitmdt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mvisual_type\u001b[0m \u001b[1;33m==\u001b[0m \u001b[1;34m\"categorical_column\"\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2473\u001b[1;33m \u001b[0mvisual_elem\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mrender_cat\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mitmdt\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcfg\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 2474\u001b[0m \u001b[1;32melif\u001b[0m \u001b[0mitmdt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mvisual_type\u001b[0m \u001b[1;33m==\u001b[0m \u001b[1;34m\"geography_column\"\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2475\u001b[0m \u001b[0mvisual_elem\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mrender_geo\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mitmdt\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcfg\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\dataprep\\eda\\distribution\\render.py\u001b[0m in \u001b[0;36mrender_cat\u001b[1;34m(itmdt, cfg)\u001b[0m\n\u001b[0;32m 1591\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mcfg\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mwordcloud\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0menable\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1592\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mdata\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m\"nuniq_words_cloud\"\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m>\u001b[0m \u001b[1;36m0\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1593\u001b[1;33m \u001b[0mtabs\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mwordcloud_viz\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m\"word_cnts_cloud\"\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mplot_width\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mplot_height\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1594\u001b[0m \u001b[0mhtgs\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m\"Word Cloud\"\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcfg\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mwordcloud\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mhow_to_guide\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mplot_height\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mplot_width\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1595\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mcfg\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mwordfreq\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0menable\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\dataprep\\eda\\distribution\\render.py\u001b[0m in \u001b[0;36mwordcloud_viz\u001b[1;34m(word_cnts, plot_width, plot_height)\u001b[0m\n\u001b[0;32m 140\u001b[0m \u001b[0mellipse_mask\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mload\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34mf\"{Path(__file__).parent.parent.parent}/assets/ellipse.npz\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"image\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 141\u001b[0m \u001b[0mwordcloud\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mWordCloud\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mbackground_color\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m\"white\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmask\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mellipse_mask\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 142\u001b[1;33m \u001b[0mwordcloud\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgenerate_from_frequencies\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mword_cnts\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 143\u001b[0m \u001b[0mwcarr\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mwordcloud\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mto_array\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0muint8\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 144\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\wordcloud\\wordcloud.py\u001b[0m in \u001b[0;36mgenerate_from_frequencies\u001b[1;34m(self, frequencies, max_font_size)\u001b[0m\n\u001b[0;32m 444\u001b[0m \u001b[0mfont_size\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mheight\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 445\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 446\u001b[1;33m self.generate_from_frequencies(dict(frequencies[:2]),\n\u001b[0m\u001b[0;32m 447\u001b[0m max_font_size=self.height)\n\u001b[0;32m 448\u001b[0m \u001b[1;31m# find font sizes\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\wordcloud\\wordcloud.py\u001b[0m in \u001b[0;36mgenerate_from_frequencies\u001b[1;34m(self, frequencies, max_font_size)\u001b[0m\n\u001b[0;32m 494\u001b[0m \u001b[1;32mwhile\u001b[0m \u001b[1;32mTrue\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 495\u001b[0m \u001b[1;31m# try to find a position\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 496\u001b[1;33m \u001b[0mfont\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mImageFont\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtruetype\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfont_path\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfont_size\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 497\u001b[0m \u001b[1;31m# transpose font optionally\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 498\u001b[0m transposed_font = ImageFont.TransposedFont(\n", "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\PIL\\ImageFont.py\u001b[0m in \u001b[0;36mtruetype\u001b[1;34m(font, size, index, encoding, layout_engine)\u001b[0m\n\u001b[0;32m 853\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 854\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 855\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mfreetype\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfont\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 856\u001b[0m \u001b[1;32mexcept\u001b[0m \u001b[0mOSError\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 857\u001b[0m \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0misPath\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfont\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\PIL\\ImageFont.py\u001b[0m in \u001b[0;36mfreetype\u001b[1;34m(font)\u001b[0m\n\u001b[0;32m 850\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 851\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mfreetype\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfont\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 852\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mFreeTypeFont\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfont\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0msize\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mencoding\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlayout_engine\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 853\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 854\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\PIL\\ImageFont.py\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, font, size, index, encoding, layout_engine)\u001b[0m\n\u001b[0;32m 185\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mlayout_engine\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[1;32min\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mLAYOUT_BASIC\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mLAYOUT_RAQM\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 186\u001b[0m \u001b[0mlayout_engine\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mLAYOUT_BASIC\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 187\u001b[1;33m \u001b[1;32mif\u001b[0m \u001b[0mcore\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mHAVE_RAQM\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 188\u001b[0m \u001b[0mlayout_engine\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mLAYOUT_RAQM\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 189\u001b[0m \u001b[1;32melif\u001b[0m \u001b[0mlayout_engine\u001b[0m \u001b[1;33m==\u001b[0m \u001b[0mLAYOUT_RAQM\u001b[0m \u001b[1;32mand\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mcore\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mHAVE_RAQM\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\PIL\\ImageFont.py\u001b[0m in \u001b[0;36m__getattr__\u001b[1;34m(self, id)\u001b[0m\n\u001b[0;32m 42\u001b[0m \u001b[1;31m# module placeholder\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 43\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0m__getattr__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mid\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 44\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0mImportError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"The _imagingft C module is not installed\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 45\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 46\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;31mImportError\u001b[0m: The _imagingft C module is not installed" ] } ], "source": [ "create_report(df_temp)" ] }, { "cell_type": "code", "execution_count": 119, "id": "eabb40ab", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "", "version_major": 2, "version_minor": 0 }, "text/plain": [ "100%|############################################################################################| 4/4 [00:00<…" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "\n", "\n", " DataPrep.EDA Report \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "
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PearsonSpearmanKendallTau
Highest Positive Correlation0.4280.3550.333
Highest Negative Correlation-0.483-0.408-0.357
Lowest Correlation0.00.00.0
Mean Correlation0.0140.0130.012
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'height': 400
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'width': 400
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  • \n", " Most positive correlated: (PhysicalHealth, DiffWalking)\n", "
    • \n", " \n", "
  • \n", " Most negative correlated: (PhysicalHealth, GenHealth)\n", "
    • \n", " \n", "
  • \n", " Least correlated: (Asthma, SkinCancer)\n", "
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'height': 400
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Height of the plot
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'width': 400
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Width of the plot
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  • \n", " Most positive correlated: (PhysicalHealth, DiffWalking)\n", "
    • \n", " \n", "
  • \n", " Most negative correlated: (PhysicalHealth, GenHealth)\n", "
    • \n", " \n", "
  • \n", " Least correlated: (Asthma, SkinCancer)\n", "
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'height': 400
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Height of the plot
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'width': 400
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Width of the plot
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  • \n", " Most positive correlated: (PhysicalHealth, DiffWalking)\n", "
    • \n", " \n", "
  • \n", " Most negative correlated: (PhysicalHealth, GenHealth)\n", "
    • \n", " \n", "
  • \n", " Least correlated: (Asthma, SkinCancer)\n", "
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\n", "" ], "text/plain": [ "" ] }, "execution_count": 119, "metadata": {}, "output_type": "execute_result" } ], "source": [ "plot_correlation(df_temp)" ] }, { "cell_type": "code", "execution_count": null, "id": "747c21e3", "metadata": {}, "outputs": [], "source": [ "plot_missing(df_temp)" ] }, { "cell_type": "code", "execution_count": null, "id": "1010c6aa", "metadata": {}, "outputs": [], "source": [ "plot(df, 'BMI', 'SleepTime')" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.7" } }, "nbformat": 4, "nbformat_minor": 5 }