{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "18843ee7", "metadata": {}, "outputs": [ { "ename": "ModuleNotFoundError", "evalue": "No module named 'matplotlib'", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m/home/ya/GridDynamics/DataVisualisation/visualization_for_dummies/Visualization_pr.ipynb Cell 1\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m get_ipython()\u001b[39m.\u001b[39;49mrun_line_magic(\u001b[39m'\u001b[39;49m\u001b[39mmatplotlib\u001b[39;49m\u001b[39m'\u001b[39;49m, \u001b[39m'\u001b[39;49m\u001b[39minline\u001b[39;49m\u001b[39m'\u001b[39;49m)\n\u001b[1;32m 3\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mnumpy\u001b[39;00m \u001b[39mas\u001b[39;00m \u001b[39mnp\u001b[39;00m\n\u001b[1;32m 4\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mpandas\u001b[39;00m \u001b[39mas\u001b[39;00m \u001b[39mpd\u001b[39;00m\n", "File \u001b[0;32m~/.local/lib/python3.10/site-packages/IPython/core/interactiveshell.py:2305\u001b[0m, in \u001b[0;36mInteractiveShell.run_line_magic\u001b[0;34m(self, magic_name, line, _stack_depth)\u001b[0m\n\u001b[1;32m 2303\u001b[0m kwargs[\u001b[39m'\u001b[39m\u001b[39mlocal_ns\u001b[39m\u001b[39m'\u001b[39m] \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mget_local_scope(stack_depth)\n\u001b[1;32m 2304\u001b[0m \u001b[39mwith\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mbuiltin_trap:\n\u001b[0;32m-> 2305\u001b[0m result \u001b[39m=\u001b[39m fn(\u001b[39m*\u001b[39;49margs, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n\u001b[1;32m 2306\u001b[0m \u001b[39mreturn\u001b[39;00m result\n", "File \u001b[0;32m~/.local/lib/python3.10/site-packages/IPython/core/magics/pylab.py:99\u001b[0m, in \u001b[0;36mPylabMagics.matplotlib\u001b[0;34m(self, line)\u001b[0m\n\u001b[1;32m 97\u001b[0m \u001b[39mprint\u001b[39m(\u001b[39m\"\u001b[39m\u001b[39mAvailable matplotlib backends: \u001b[39m\u001b[39m%s\u001b[39;00m\u001b[39m\"\u001b[39m \u001b[39m%\u001b[39m backends_list)\n\u001b[1;32m 98\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m---> 99\u001b[0m gui, backend \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mshell\u001b[39m.\u001b[39;49menable_matplotlib(args\u001b[39m.\u001b[39;49mgui\u001b[39m.\u001b[39;49mlower() \u001b[39mif\u001b[39;49;00m \u001b[39misinstance\u001b[39;49m(args\u001b[39m.\u001b[39;49mgui, \u001b[39mstr\u001b[39;49m) \u001b[39melse\u001b[39;49;00m args\u001b[39m.\u001b[39;49mgui)\n\u001b[1;32m 100\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_show_matplotlib_backend(args\u001b[39m.\u001b[39mgui, backend)\n", "File \u001b[0;32m~/.local/lib/python3.10/site-packages/IPython/core/interactiveshell.py:3478\u001b[0m, in \u001b[0;36mInteractiveShell.enable_matplotlib\u001b[0;34m(self, gui)\u001b[0m\n\u001b[1;32m 3457\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39menable_matplotlib\u001b[39m(\u001b[39mself\u001b[39m, gui\u001b[39m=\u001b[39m\u001b[39mNone\u001b[39;00m):\n\u001b[1;32m 3458\u001b[0m \u001b[39m\"\"\"Enable interactive matplotlib and inline figure support.\u001b[39;00m\n\u001b[1;32m 3459\u001b[0m \n\u001b[1;32m 3460\u001b[0m \u001b[39m This takes the following steps:\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 3476\u001b[0m \u001b[39m display figures inline.\u001b[39;00m\n\u001b[1;32m 3477\u001b[0m \u001b[39m \"\"\"\u001b[39;00m\n\u001b[0;32m-> 3478\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mmatplotlib_inline\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mbackend_inline\u001b[39;00m \u001b[39mimport\u001b[39;00m configure_inline_support\n\u001b[1;32m 3480\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mIPython\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mcore\u001b[39;00m \u001b[39mimport\u001b[39;00m pylabtools \u001b[39mas\u001b[39;00m pt\n\u001b[1;32m 3481\u001b[0m gui, backend \u001b[39m=\u001b[39m pt\u001b[39m.\u001b[39mfind_gui_and_backend(gui, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mpylab_gui_select)\n", "File \u001b[0;32m~/.local/lib/python3.10/site-packages/matplotlib_inline/backend_inline.py:6\u001b[0m, in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[39m\"\"\"A matplotlib backend for publishing figures via display_data\"\"\"\u001b[39;00m\n\u001b[1;32m 3\u001b[0m \u001b[39m# Copyright (c) IPython Development Team.\u001b[39;00m\n\u001b[1;32m 4\u001b[0m \u001b[39m# Distributed under the terms of the BSD 3-Clause License.\u001b[39;00m\n\u001b[0;32m----> 6\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mmatplotlib\u001b[39;00m\n\u001b[1;32m 7\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mmatplotlib\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mbackends\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mbackend_agg\u001b[39;00m \u001b[39mimport\u001b[39;00m ( \u001b[39m# noqa\u001b[39;00m\n\u001b[1;32m 8\u001b[0m new_figure_manager,\n\u001b[1;32m 9\u001b[0m FigureCanvasAgg,\n\u001b[1;32m 10\u001b[0m new_figure_manager_given_figure,\n\u001b[1;32m 11\u001b[0m )\n\u001b[1;32m 12\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mmatplotlib\u001b[39;00m \u001b[39mimport\u001b[39;00m colors\n", "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'matplotlib'" ] } ], "source": [ "%matplotlib inline\n", "\n", "import numpy as np\n", "import pandas as pd\n", "import matplotlib as plt\n", "import seaborn as sns\n", "import re" ] }, { "cell_type": "code", "execution_count": null, "id": "173984ea", "metadata": {}, "outputs": [], "source": [ "dfmen = pd.read_csv('men_sampled_shoe.csv')\n", "dfwomen = pd.read_csv('women_sampled_shoe.csv')\n", "df = pd.concat([dfmen, dfwomen])\n", "\n", "def get_sex_age(string):\n", " sex_age = re.search('[F,M]\\d*', string).group()\n", " # F=1, M=0\n", " sex = re.search('[F,M]', sex_age).group()\n", " sex = 1 if sex=='F' else 0\n", " age = re.sub('[F,M]', '', sex_age)\n", " age = 0 if age=='' else int(age)\n", " return sex, age\n", "df[['sex','age']] = df['name_age'].apply(\n", " lambda x: get_sex_age(x),\n", ").to_list()\n", "df['vaporfly'] = df['vaporfly'].astype('bool').astype('int')\n", "df.drop(['name_age', 'match_name'], axis=1, inplace=True)\n", "df.to_csv('Marathon_vaporfly.csv', index=False)" ] }, { "cell_type": "markdown", "id": "b897eaa0", "metadata": {}, "source": [ "# Practice" ] }, { "cell_type": "markdown", "id": "53c87eda", "metadata": {}, "source": [ "## Know your data" ] }, { "cell_type": "code", "execution_count": null, "id": "f3bbb8ec", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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full_namemarathonyeardatetimetime_minutesvaporflysexage
0LELISA DESISABoston Marathon20154/20/152:09:17129.2833330025
1YEMANE ADHANE TSEGAYBoston Marathon20154/20/152:09:48129.8000000030
2WILSON CHEBETBoston Marathon20154/20/152:10:22130.3666670029
3BERNARD KIPYEGOBoston Marathon20154/20/152:10:47130.7833330028
4WESLEY KORIRBoston Marathon20154/20/152:10:49130.8166670032
..............................
1685LYNDY DAVISWomen's Olympic Trials Marathon20162016-02-133:10:07190.116667010
1686AMANDA MARINOWomen's Olympic Trials Marathon20162016-02-133:11:20191.333333000
1687CHRISTINE SHAWWomen's Olympic Trials Marathon20162016-02-133:12:36192.600000010
1688LAURA HARNISHWomen's Olympic Trials Marathon20162016-02-133:13:50193.833333010
1689OBSIE BIRRUWomen's Olympic Trials Marathon20162016-02-133:14:15194.250000010
\n", "

1690 rows × 9 columns

\n", "
" ], "text/plain": [ " full_name marathon year date \\\n", "0 LELISA DESISA Boston Marathon 2015 4/20/15 \n", "1 YEMANE ADHANE TSEGAY Boston Marathon 2015 4/20/15 \n", "2 WILSON CHEBET Boston Marathon 2015 4/20/15 \n", "3 BERNARD KIPYEGO Boston Marathon 2015 4/20/15 \n", "4 WESLEY KORIR Boston Marathon 2015 4/20/15 \n", "... ... ... ... ... \n", "1685 LYNDY DAVIS Women's Olympic Trials Marathon 2016 2016-02-13 \n", "1686 AMANDA MARINO Women's Olympic Trials Marathon 2016 2016-02-13 \n", "1687 CHRISTINE SHAW Women's Olympic Trials Marathon 2016 2016-02-13 \n", "1688 LAURA HARNISH Women's Olympic Trials Marathon 2016 2016-02-13 \n", "1689 OBSIE BIRRU Women's Olympic Trials Marathon 2016 2016-02-13 \n", "\n", " time time_minutes vaporfly sex age \n", "0 2:09:17 129.283333 0 0 25 \n", "1 2:09:48 129.800000 0 0 30 \n", "2 2:10:22 130.366667 0 0 29 \n", "3 2:10:47 130.783333 0 0 28 \n", "4 2:10:49 130.816667 0 0 32 \n", "... ... ... ... ... ... \n", "1685 3:10:07 190.116667 0 1 0 \n", "1686 3:11:20 191.333333 0 0 0 \n", "1687 3:12:36 192.600000 0 1 0 \n", "1688 3:13:50 193.833333 0 1 0 \n", "1689 3:14:15 194.250000 0 1 0 \n", "\n", "[1690 rows x 9 columns]" ] }, "execution_count": 236, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# dataset from https://github.com/Mu-Tien/Vaporflys \n", "# https://researchers.one/article/2020-02-14\n", "\n", "init_data = pd.read_csv('Marathon_vaporfly.csv')\n", "init_data" ] }, { "cell_type": "code", "execution_count": null, "id": "f7c59575", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "RangeIndex: 1690 entries, 0 to 1689\n", "Data columns (total 9 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 full_name 1690 non-null object \n", " 1 marathon 1690 non-null object \n", " 2 year 1690 non-null int64 \n", " 3 date 1690 non-null object \n", " 4 time 1690 non-null object \n", " 5 time_minutes 1690 non-null float64\n", " 6 vaporfly 1690 non-null int64 \n", " 7 sex 1690 non-null int64 \n", " 8 age 1690 non-null int64 \n", "dtypes: float64(1), int64(4), object(4)\n", "memory usage: 119.0+ KB\n" ] } ], "source": [ "init_data.info()" ] }, { "cell_type": "markdown", "id": "9fecf815", "metadata": {}, "source": [ "## What is 'vaporfly'?" ] }, { "cell_type": "markdown", "id": "140f5b7d", "metadata": {}, "source": [ "Vaporfly - Nike technology, which helps several athletes win marathons and has also been banned as a \"technological doping\"" ] }, { "attachments": { "nike_zoom_x_vaporfly.jpg": { "image/jpeg": 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yeartime_minutesvaporflysexage
count1690.0000001690.0000001690.0000001690.0000001690.000000
mean2016.524852149.9599510.1644970.39822515.107101
std1.34895914.6664990.3708360.48967715.508542
min2015.000000125.0000000.0000000.0000000.000000
25%2015.000000138.5833330.0000000.0000000.000000
50%2016.000000147.2250000.0000000.0000000.000000
75%2018.000000160.7500000.0000001.00000030.000000
max2019.000000239.2333331.0000001.00000062.000000
\n", "
" ], "text/plain": [ " year time_minutes vaporfly sex age\n", "count 1690.000000 1690.000000 1690.000000 1690.000000 1690.000000\n", "mean 2016.524852 149.959951 0.164497 0.398225 15.107101\n", "std 1.348959 14.666499 0.370836 0.489677 15.508542\n", "min 2015.000000 125.000000 0.000000 0.000000 0.000000\n", "25% 2015.000000 138.583333 0.000000 0.000000 0.000000\n", "50% 2016.000000 147.225000 0.000000 0.000000 0.000000\n", "75% 2018.000000 160.750000 0.000000 1.000000 30.000000\n", "max 2019.000000 239.233333 1.000000 1.000000 62.000000" ] }, "execution_count": 238, "metadata": {}, "output_type": "execute_result" } ], "source": [ "init_data.describe()" ] }, { "cell_type": "code", "execution_count": null, "id": "fff5dbd5", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "full_name 0\n", "marathon 0\n", "year 0\n", "date 0\n", "time 0\n", "time_minutes 0\n", "vaporfly 0\n", "sex 0\n", "age 0\n", "dtype: int64" ] }, "execution_count": 435, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#Checking the existence of the null values in the dataset\n", "init_data.isnull().sum(axis=0)" ] }, { "cell_type": "markdown", "id": "2aa19d41", "metadata": {}, "source": [ "![]('')" ] }, { "cell_type": "markdown", "id": "051b3b2b", "metadata": {}, "source": [ "## Explore & Clean" ] }, { "cell_type": "markdown", "id": "6a2e8a2d", "metadata": {}, "source": [ "Let's start with age" ] }, { "cell_type": "code", "execution_count": null, "id": "e1cde5de", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The oldest person 62 years old.\n", "The youngest person - 19.0\n" ] } ], "source": [ "print(f'The oldest person {init_data.age.max()} years old.\\nThe youngest person - {init_data.age.where(lambda x: x > 0).min()}')" ] }, { "cell_type": "code", "execution_count": null, "id": "53ed1478", "metadata": {}, "outputs": [], "source": [ "sns.set(rc = {'figure.figsize':(20,10)})" ] }, { "cell_type": "code", "execution_count": null, "id": "d6b68392", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 1.0, 'Distribution of finishers for Ages')" ] }, "execution_count": 457, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "%%capture --no-display\n", "hage = sns.distplot(init_data.age)\n", "hage.set_xlabel('Ages',fontdict= {'size':14})\n", "hage.set_ylabel(u'Distribution',fontdict= {'size':14})\n", "hage.set_title(u'Distribution of finishers for Ages', fontsize=18)" ] }, { "cell_type": "markdown", "id": "490c63c3", "metadata": {}, "source": [ "Change theme" ] }, { "cell_type": "code", "execution_count": null, "id": "81f798c1", "metadata": {}, "outputs": [], "source": [ "sns.set_style('whitegrid')" ] }, { "cell_type": "markdown", "id": "ef578a31", "metadata": {}, "source": [ "and try another way to find outliers" ] }, { "cell_type": "code", "execution_count": null, "id": "0027c597", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 380, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.scatterplot(\n", " x='age',\n", " y='time_minutes', \n", " hue='sex', # 0=M 1=F\n", " data=init_data)" ] }, { "cell_type": "markdown", "id": "8a1e61fd", "metadata": {}, "source": [ "Remove 0-age and too old athletes" ] }, { "cell_type": "code", "execution_count": null, "id": "a5c9b084", "metadata": {}, "outputs": [], "source": [ "data = init_data.copy()\n", "data = data.loc[(data.age>0) & (data.age<62)]" ] }, { "cell_type": "markdown", "id": "d8c773a9", "metadata": {}, "source": [ "## Continue" ] }, { "cell_type": "code", "execution_count": null, "id": "50e3cecc", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0, 0.5, 'Total of People')" ] }, "execution_count": 463, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "%%capture --no-display\n", "\n", "# Number of Finishers for Age\n", "agecont = sns.countplot(data.age,data=data)\n", "agecont.set_title('Ages Counting', fontsize=18)\n", "agecont.set_xlabel('Ages')\n", "agecont.set_ylabel('Total of People')" ] }, { "cell_type": "markdown", "id": "a761dfb2", "metadata": {}, "source": [ "Add sex" ] }, { "cell_type": "code", "execution_count": null, "id": "68924a49", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 436, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "d = sns.countplot(x='age', hue='sex', data=data, saturation=0.6)\n", "d.set_title('Number of Finishers for Age and Gender', fontsize=25)\n", "d.set_xlabel('Ages',fontdict={'size':20})\n", "d.set_ylabel('Number of Finishers', fontdict={'size':20})\n", "d.legend(fontsize=16)" ] }, { "cell_type": "code", "execution_count": null, "id": "e0705b97", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 1.0, 'Distribution of finish times per Age group')" ] }, "execution_count": 379, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "distribution_per_age = sns.boxplot(x=data['sex'], y=data['age'])\n", "distribution_per_age.set_title(\"Distribution of finish times per Age group\")" ] }, { "cell_type": "markdown", "id": "f7cc8184", "metadata": {}, "source": [ "Add age groups " ] }, { "cell_type": "code", "execution_count": null, "id": "60c236ca", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "WARNING:param.main: position option not found for bar plot with matplotlib; similar options include: []\n" ] }, { "data": { "text/html": [ "" ], "text/plain": [ ":Bars [ranges,sex] (value)" ] }, "execution_count": 466, "metadata": { "application/vnd.holoviews_exec.v0+json": {} }, "output_type": "execute_result" } ], "source": [ "data_ages = data.copy()\n", "bins = [0, 17, 34, 39, 44, 49, 54, 59, 64]\n", "data_ages['ranges'] = pd.cut(\n", " data_ages['age'].where(lambda x: x> 0),\n", " bins,\n", " labels=[\"1\",\"18-34\", \"35-39\", \"40-44\", \"45-49\", \"50-54\", \"55-59\", \"60-64\"])\n", "data_ages_2 = pd.crosstab(data_ages.ranges,data_ages['sex']).apply(lambda r: (r/r.sum()) * 100 , axis=1)\n", "data_ages_2.plot(kind = \"bar\", stacked = True, fontsize=12, position=0.5)" ] }, { "cell_type": "markdown", "id": "e077cf7a", "metadata": {}, "source": [ "**Vaporfly**" ] }, { "cell_type": "markdown", "id": "57ecbfec", "metadata": {}, "source": [ "Let's check correlation between age and gender and the use of vaporfly shoes" ] }, { "cell_type": "code", "execution_count": null, "id": "bc8546f6", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 474, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "d = sns.countplot(x='age', hue='vaporfly', data=data, saturation=0.6)\n", "d.set_title('Number of vapoefly users among ages', fontsize=25)\n", "d.set_xlabel('Ages',fontdict={'size':20})\n", "d.set_ylabel('Number of vaporfly users', fontdict={'size':20})\n", "d.legend(fontsize=16)" ] }, { "cell_type": "markdown", "id": "59d21f33", "metadata": {}, "source": [ "Can we add everything in one graph?" ] }, { "cell_type": "code", "execution_count": null, "id": "36154860", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 483, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.scatterplot(\n", " data=data, \n", " x='time_minutes', \n", " y='marathon', \n", " hue='vaporfly', \n", " style='sex', \n", " size='age',\n", " sizes=(20, 200), \n", " alpha=.5, \n", " legend=\"full\"\n", ")" ] }, { "cell_type": "code", "execution_count": null, "id": "9a07b880", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 470, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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eTKqqEOrtptOfxmE3Y9fEiScVBtJGLAYthfooBp2KEguS1jsYUF24tVFMqSCq0UrU6EWbCGIiQ8zooT+uRUELSoYSSxqbEsr9RGh06HQ6goqZ/rgGq17BaNAzEFWxWoyo6SQ6nRa7SaUvlEWv11FsB6PZStzfSyabJWb04vF6cehSpP3daPR6DJ4ytMbc+ekdjNEfjOOyG7GaDPT4Y5gMOsqL7Bj1x3+DNBPL5Aed6DFMVnk8XoN9ffT6k2QyWYq8FopKiqY6pEl3oHWAnkACp81AdbF13DXkM8VklcXx/M1kwoNkgn1oTVYM3lKUZOzgNcqAwVtGIqulsz+KqqqUFdixGFTSA52omRR6dwk6i430QCdKMobeVUjWaCPc3UEmGkJvd1NQVcNgeyvp0AB6qwNLUQXRQIBefwyzyUCRz0YimaXHH0On1VLstaDRQu9AlGxWpchjxWwx0NsXJpbMUOSx4vS6SPc0o8TCaB0+HBVzaG3tYjAYx2U3U15eQLivl3RoAJ3ZirWghFg8RXdfBINRR3mxE4fTOew8KJnUsOPSmsykuptIhv2YCyswFVSwr93PYChJgcvM7HI3PZ099A7GcNpNlJUVYDj4cFhML5PSfGjevHk0NDSMum7lypWsW7du1HU/+clPjrjPX/ziFycltonW1hPGaNDidZoxGnQ8t76JrKKi02qO/WYhThKNRouruIzDHr7jBkqPsL37A69zz4lyb3aN8r4P/rCa81vnlI/yGUUfWGj1fPDJkQmd1cEHFXmtFHmt+dcy2tDpw1tYiLcwV96KSmZ2Ane8Zlf5mF2VOwf2OafnOZgqeocXvWPoOqWzOtFZh26YrQaYW+Ee9h5Tcc2w18bCyqH9Aabq2cPWeyuqgKqhfVpLKCzLfd9z5q7CARSWDI/L4xs++pTdNbxJj7l64bDXVVWlh30C+MoroLwi/9rmgMIiH0ei1RtHHJe5Yj476+pYVZDbz9yK4TEUlxVTfPoMFDZjyYzGE2zngQFmleWG3bJbDDisRtp7RnbyFEIIIYQQYqpIUjDBGlr9lBUMTdJRWeJgT8vgUd4hhBBCCCHE5JKkYIK1dIUo8Q0lBWUFNva2BqYuICGEEEIIIT5AkoIJpCgqbb0Rig9r/1zssdLSPXK8bSGEEEIIIaaKJAUTqNcfw2LUYzEN9ecu9lpp7wkf9+RKQgghhBBCnGySFEygzr4oRR7LsGV2qxGNRoM/nDzCu4QQQgghhJhckhRMoK6BKG7HyOESi71W2mQEIiGEEEIIMU1IUjCBOvsjeJwjJ13xOs10f2CqeiGEEEIIIaaKJAUTqKs/ineUiZU8DhOdfZIUCCGEEEKI6UGSggnUPRDFN0pS4HVZ6OiLTEFEQgghhBBCjCRJwQTqDyTwjJIU+FxmOvslKRBCCCGEENODJAUTJBpPoygqZqNuxDqv00yfPy7DkgohhBBCiGlBkoIJ0h+I43aY0Gg0I9ZZTHrQQCSenoLIhBBCCCGEGE6SggnSF4jjso8ceegQn9NMz2BsEiMSQgghhBBidJIUTJD+QBy33XjE9W6HmV5JCoQQQgghxDQgScEE6fPHcNiOnBS4bEZ6/fFJjEgIIYQQQojRSVIwQfqDCZzWo9UUmOiRCcyEEEIIIcQ0IEnBBBkMJo5eU2A30euX5kNCCCGEEGLqSVIwQQZDR68pcNlM9AcTkxiREEIIIYQQo5OkYIL4w0evKXA7jPQHpE+BEEIIIYSYepIUTIB0RiGWyGCzGI64jd1iJJZIk85kJzEyIYQQQgghRpKkYAL4wwkcViPaUSYuO0Sr1eC0megPSBMiIYQQQggxtSQpmAD+UALnUZoOHeJ2mKQJkRBCCCGEmHKSFEwAfziJ3XrkpkOHuGxGBoKSFAghhBBCiKklScEE8IeT2C3Hrilw2IwyApEQQgghhJhykhRMgEA4idWiP+Z2DquRPpmrQAghhBBCTDFJCibAYCiBYww1BS6bkb4T7FMQT2YIRDMntA8hhBBCCHF6O/bjbDFu/lCC2eWuY27nspsYOIHRhyKxFLff/xqRWBJPUS8rFxQd976EEEIIIcTpa1KSAr/fz9e+9jVaW1sxGo1UV1dzzz334PV62bp1K9/+9rdJJpOUl5fzwx/+EJ/PB8Add9zBhg0b6OvrY/Pmzdhstvw+H3/8cX71q1+h1WrR6XTcddddrF69ejIO55gC4ST2o8xRcIjzBDsa//7lvcytcGPVRfnlsztZMb8QzVGGQRWnp3Q0hBIZRGuygVbHYDQDehPodETiGZwmsGWCoCpgdTMQyaLV6VGBdFbFoNeSzSjYLFqisTQmow6fBfyxLHoljU6vobK0lOhAN4k0pLIaFL0ZrUbBqssST2uJZrQYdBq0WhVFAVBRFC0aLTisBuLRGFaLgWRWR1bJfabXbiQUDJPJKng9NvQmC4OhBKgqXpdlxHEmkhkCkSSqCj63mXgiQzqj4HOZT/jvQs1kyEYDaIwWdBbbsd8gJkxzpx9P8aypDmPK9AeD+ENZiivmTnUopzwlnSQbC6M129CZRl5zVFUlGx4EvR69NfcgsLuzBw1QXFYMQGt3kHRGoaLQhslkZLC3HyWdwOL0YnNYCQRCBCJpvE4TTqedwKCfcDSF2aSnsMhHNBqjezBBUdmc/Of6O9tAo8VTWg5AU2cARYE5FW4AOrv9JNMKxV4LVpuVvt4BkqkMDrsJl9tN0B8gHYugM1nwFPiIRuL0+WNYTDqKi9woisJAfwC9QYfHkzuuvu5eVFWlqDR3XP09/WQyWbyFHoxGI5F4CrPdRyaTRa/XEY3GiETiOB1WLNaR505MT5OSFGg0Gm677TbOPvtsAO677z7uv/9+vve973HnnXdy7733snr1ah566CHuv/9+7r33XgBuvvlm7rrrLtasWTNsf36/n3//93/nxRdfpKCggFdeeYVvf/vbPPfcc5NxOMd0aJ6CY3FYjUTiadIZBYN+fC25slmF1za18fnrl9Df08LOthiNbQFqqzzHG7Y4BcXbdhPdtZ7IjtfRmKx4PvRRXussYFZlIb95YTdlTj2fWhIjtukJspWr2O44H63RQiyRJhhN8VpdO1aTnn/66HLe3NbPC++1cN6yUioKrSw0dGFJ9GEtrcFiMLK9y8r//aUJfyTF5StLWLOshLa0jro9Pby+uZ3LzqpCr9PywrvNWM0Grjy3hv5AnHmVbh55pp4V84v48KpKHnm6Hn8kyaVnVmIxG/jz2we45uxy5lYX8NCT9aiofPTS+Vy4shynzQRAU0eQA51Bnn27Cb0OLlhRwdNv7CcST3Pd+bO58twaCtzH98OUHujEv/5JorveweArx3fZZzFXLZIEfJK1dQ2ybX+Ax19tJJnKctW5NZy7pIh51QVTHdqk2dXUz9NvHGDT7h7Ki+zcetVCzlpUMtVhnZKSvS0MvvY7Es3bMZXPw3fxpzCVDSVimdAAoS0vEtz4HDqTDfMN3+D9/RF+/3obKip/f+Ni4il47KUGQtEUl59VxeVL7aiv/ATF30li3jlEV13Pj9a109gWYGmNl09dOYcnXj/Ahj0DVBfb+MzVtTR0RPnDy414nGY+c9V8ZiV2kVz/OzQ6A9HL/5ltg1b++Erub+Lmi+dRWmDj18/tZiAY54Ll5VyyuoL/XVdPU1eEsxb6+MJFhUTW/4FsWz264tmoH7qVxzYneXVTO8VeK7detYDBwSC/fvEANouBv79hAT0DcX7/WhMqKv/wV7Vks/B/fzlAKJri6rNKuWRFCfc/sZeO3gjnLx/kyrMr+c1zu9jdGmLpLBefurKWOTVSTmeCSelT4Ha78wkBwPLly+ns7KS+vh6TyZR/wn/LLbfwwgsv5Lc799xz87UGh1NVFVVViUajAITDYUpKpk+BC0VTY6opyE1gZsQfGn8Top1NAzjtRgrcFjQaDQtqvGzY2X084YpTVLK/jVjD+4Q2PYeSjJEN9dP/7IOsmOvlP369kdbuMNcvyJJ67eco8Qj77Ss50JvknW0dxFNZnn27iWg8zRnzCtnb6ucPrzSiKCpWs4ES+tC/9VN0hdVoI720Ju3cu3YnnQMx4skMT7/bzkBUZVtjH8+tb8Zo0AEannhtH9FEhr5AnN88v5sir5W1LzVw4apK3t7WyROvNVJeZCeezLDu7SZC0SQuu4k/vNHCzmY/aCAYSfGzp3awdW8fAAPBOBt3d/PTP+1gX3uAs5eU8fOn6un1x4klMvz+5b28vrn9uM6hkkoy8OqviWx/DTWTItXTRPfa75LuazuJ35QYi6buGD/90w4Gggki8TR/fLWRbfsHpzqsSdPZF+Q3z+9h/Y4uUhmFps4QP/j1Jnbs65vq0E45mWiQ3icfIL5vE2omRaJlJ12//z7p4NC5jtS/SeDtx1GTMTKpBA1dSX767D4CkSTBSIqsquXHv99Cz+DBa+JbB3h7Ry8kI7lrye43ib+zFrNOIZ1RuOTMMn7+bANv1feRyig0doT57q+2srjCRiKVpas/yn/8djM9SQtKPEI2EqQpZuPhJ4f+JrKKyn2/3khHX4REKstL77fy/LstJDOQyigUWDWEn/9vMk2bUTMpMh17CD39A86fYyKZztLaE+YHv9mE2+0klsjgDyU40B3np+v25I9Lq9Fy39r6/HE98VYbb27vZW6li2Q6yysb2/jdi41odAbSGYXNjX7+49Ht9Pf7p/AbFWM16R2NFUVh7dq1XHzxxXR1dVFWVpZf5/V6URSFQCBw1H14vV7uuecebrzxRi666CIeeOAB7r777gmOfGyS6SyZrILJqBvT9k67kYHjGJZ0S0Mfcw9WFQLMr/KwcZckBWJINuQnunfjiOXtAwkyWZVSnw1b/04AjGW1vLo3QbHXisthZtPunvz2C2s81O3pBWDJHB+bG3rxZAYwls1FTYRAo6WlN4qqDn2G05arBTuUqC6bW8D7o5TPnsEYqXQW58F5PXY1DQ7rj/P21k6Wz8/1lXl/Zw9nzB16Kvzy+60AdPVHSaUV4skMDqth1M77L7zbTCiaGtuJO0wm3E/sA+dQzaZJDRxfkiGO36Ek8HBvbumgdyA0BdFMvv5givr9A8OWJdNZOvujUxTRqSsT6CH9gb9xJRYiPdgFQDYWIrT5xfw638W38vqOofLpdZpp6Q6P2O9LOwJkq87Mv842bebcOWYAPDYdO5sDw7ZPpLIMBIZGKFRV6EyYAQ2mivls3T98+1Q6i6IOW8T6HV35/oa1ngzZwY4Rx+XMDu0nk1UZDCUBqCl1sbt5KPH2OEy0jnJcL27u4eqVQ30at+ztY0H1UKuF7sE43X0j3yemn0nvaPzd734Xq9XKrbfeyksvvXRc+4hEIjz66KM8/vjjzJ49m+eee47bb7+dZ555ZlxV+vX19aMur6urO664AALRDGaDhr2Ne8e0vVZJ8f6WncQGreP6nHe29rCsxkLD3gYA4sEu2nrCvLthI8ZxNkWaKidynqfKaDGvWrXqhPd7pLJ4IuYXmNHbPWT8XcOWWw8mrJF4mqzFixZQYkFKnDpUFSKxJF6nOX/xT6SyeBy5H65gJIXbYSKtTaFEAmg1elCT2MzDLyXJVBatVoPXaaZnMEYwksLrNNP1gRsYu8VAMp3bFsBi0pPKZPPrfS4zoWjuB8rjNBE87Ma+2Guhvr6epMaBXqfNx/rBWHL7MdHW2kQiFjnqOfvg91viNKM121ESw98XT6s0zMDyO1YTUR5PxLx58/C5zCOWF7gsmA26GXktGS+brwaLSU88OXy0OYtJP22Pf7peGz/og+ev3K4DjTbXz+owkUSK3XV1OG0WLE4fBHMPS1LdTZS6V+S3iyVSOEaZwLTAYUQX93PoCqe12AjFc3fxWq0Wk1FHMpUd9h6zafj1zKpXAZVsuB9fsWnYukPXwcN5nWaCkdx1M4Vh1ONSDcP/tkyG3G9EKJqkpsyZXx6Np3GO0jS6wGUkeljcdouBRGqonGo1oNeqU15OT0Z5PNVNalJw33330dLSwsMPP4xWq6W0tJTOzs78+sHBQbRaLW63+6j7efvtt3E4HMyePRuAq6++mm984xv4/X68Xu+Y41myZAkm0/A/qrq6uhMqOI1tftzOCPNr549p+319Tbh8XlatmnPsjQ9KpDIM/PF51qxajEGvpWFvA4sWLqCiYQd23yyWzp3+bWxP9DxPhYmMebSyeKIyET/q8ktIdOwFJXeB1jl8lHqMLJrlZVfTIB2mOVRbnaT727j4Qvjlxh4W1vgo9lnZeWCAdEbh+Xeb+fjl86nb08Pu5kFuu2EJe8NazkCDxeqEcIQ5RSYqC6209eWeaqUzWYo9Zi5cWU5jm58d+/r43PVLaGgZJJPN/Qj6XGZ0Wg0XLq+gbnfux/WvPjSHlzfmagC0Grjs7Gp+9edd6HUazj+jjF88nbtBsJj0XHHOLOZWukmmMvQE2li1oIi6Pb1o0FDosdDnz9UY6HUabr1qEYvnHP3v4kjfb/iyz9C37if51+aaZXhmL6LQPv3675ysH92JKI8natncJC+810IgnEsSjXot15w3C6fTNuOuJcfrY5fX8st1u/Kvl84toLzQypyKU/f4J7osjvZ3r2bS+M+/mcBbf8gvcyy/DO/sxRQd7HAct3yMrt/dA0qG8OYXuOBvruTlLT1EExkSKQWv00yx10rPYO6aqNNq+OiaArKvDNU8Gs79BOv+EgBg3XudfOqy2fz8z4359WfP95LODj3orC6xU5bNNV3MBPtYVmHkeYcp/zcRjqWYXe7kQEeu9kyjgZsumsv//TlXZtZti/K1s24iseHxoRgWXcQbrUPHPq8q19EYoNcfZ1apE5tZTzSRIZVR8DhNlHrNdA0m8sd16yWzufe3O/L7+Oil83jy9f351zeeX0lNdTFmc/WxvxAxpSYtKXjggQeor6/nZz/7GUZjLtNcsmQJiUSCTZs2sXr1ah577DGuvPLKY+6roqKCXbt2MTAwgM/n47333sNut+PxTP2PdDAytv4Eh+SaO4xvArMDHUFKvLYRnZMriuzsaRmcEUmBmHh6uwdj5UKKb/4aaX8XWoMZfFVsbI/wqasW0BtIEEtmsNzwDcyBFgo0Cb503Xy6Iyp6rZY7b13FQDCB0aDDZTfy9U+vprMvis2sp7CkBmX2P6BJ9ZMumodTjfLNj9ZyoDdBNKlQWWQjpcLcChf/36fOpHcwhtNu5NufP4fO/ih6nQanzYSiKhh0OmaX2rn5krlYDHq8LjNZRaGy0Eo8GueL186jusiC1engXz62EhWYXeaiujT3BMtk1HP+8jKqShxcsLyceDLNVz62ksFQglQ6S02Zi9llxx4i+EhsC89F7y4hPdCBzubEVDIH/TRMCE51S+cW8o1PraKlO0I6q1BV7GB57ek1DPPq+T5KfGfSPRDDaTNSWWxnTsXYH4SJsdHoDbjOuhZz5UIygV70Th/GktnDRiAyVy2k/DP/Tqq3BY3BhKnAzL9/fjlN3RFQodwJX/3ESpq7wiTTWSqKbFTasyhXfhkSYbSeUjKucv72+hgDoSSFbjOzis1UFFrpHozjPvj99kRUPn/9YqwmA7PKHHgzvWTcf4dGq8ft0vL1T62mtTuc/5u49Mxy9reHiCbSVBTaKHEb+OePLCAQSVHisaAvXIytdB5qqA+N3YvGW8l8P9zmtGO3GJhVaieTTPGPNy7AbNQyt8LF0oozOHDwuAocBv71k8s40BUmmcpSVWSjuNjHlz+2kr7BMLMrfBQ7dVR4DPQFExS7zcyp8mA2j6zpE9PPpCQFjY2N/PSnP6WmpoZbbrkFyN3YP/jgg/zgBz/g7rvvHjYk6SG3334727dvB+DKK6+ktraWRx55hCVLlnDbbbdx6623YjAYMBqN/PjHP54Wo4EEI0ms40gKXHYTrT3ja2u3tzVAeZF9xPJSn439HcFx7Uuc2kyeYkye4mHLLqnK/X/xsKW1ADiBeUfZ36oFh78qyb8v97StmvIxjBS54hiVaGccZV1l6eg3QE6biSVzTCwZe4XbmGkNZixVC7FULTz5Oxfjsmh2IYtmF1JXV8fy2gn4sqe5ylIvlaW5f9fV1VFbVTW1AZ3CdGYb1lnLjrheo9FiKp2DqXSoHM72wMEGDHkLaj4wWEpF+bCXZaV84HXhsNeVwOqFue97XlU14IXZQxdiL7B49vAHgbPKh18ny8uG75PS4QOzFA0PCYDaD4x4O+sDx1VZNTzwc9w26uo6WTw795tQUOAeuVMx7U1KUjBv3jwaGhpGXbdy5UrWrVs36rqf/OQnoy4H+OxnP8tnP/vZkxLfyRSMJLGZx5cUDOztHddnNLQOUlYwcqz0kgIb72zvHOUdQgghhBBCHNnM6JE6g/jDSayjdHQ8EpfNSP84ZzVu6ghROkpSUOi20B+ID+vgI4QQQgghxLFIUnCSjXU240McNiPBSJLsB8cRO4JUOkuvP0aRZ+RoRXqdlkKPhfbeo4+wIoQQQgghxOEkKTjJxtt8SK/TYrMYCITHVlvQ2h2m0G0ZdegxyNUWtI2zj4IQQgghhDi9SVJwkgWjKWzjqCmAXL+C/lEmXBpNc1eIYt+R5zTwuS2jTi4ihBBCCCHEkUhScJKFIsnjSArG3q+guStEkfvISUGh20pr9+kxw6cQQgghhDg5JCk4yUKx1Kgzqh6N02akb8w1BUGKvUdOCoqkT4EQQgghhBgnSQpOokQqg6KA8eAU4WPlspnoHYyOadu2nshRkwKfy0xfID7mjstCCCGEEEJIUnAShSIpHFbDuCdRcztM9PqPXVMQjaeJxtO4HEee8t2g12G3GOjzj2+WZCGEEEIIcfqSpOAkCkbH358AcjUFY2k+1NYbpthrRXuMpKPQbaGzb2w1D0IIIYQQQkhScBKFjmPkIQC3wzim0Ydau8MUeizH3M7rMtPRJ/0KhBBCCCHE2EhScBIFI6lxzWZ8iN1qJJ7MkExnj7pdS3eIAvexkwKPw0ynJAVCCCGEEGKMJCk4iULRFFbT+GsKtBoNHoeJ3sGj9wNo7QpTNIakwOcy09kvSYEQQgghhBgbSQpOolA0ieU4agoAPE4zPcdICtp6wxQdZeShQ3wuC90D0tFYCCGEEEKMjSQFJ1EgnMRmHn9NAYDbbjpqUhBLpAnHUngc5mPuy+vMjWYkw5IKIYQQQoixkKTgJApGkuOeuOwQt91E98CRRwxq741Q5LGi1R57uNNDw5IOBMc2IZoQQgghhDi9SVJwEgWPc/QhyDUf6uo/clLQ2h2iyHPspkOH+FzmoyYZQgghhBBCHCJJwUkUjqawHmfzoYJjdA5u6gxRNIbhSA/xOM3Sr0AIIYQQQoyJJAUnUSiaOu7mQz5XrqOxcoR+AM1dIYrH0Mn4ELfDdNSaByGEEEIIIQ6RpOAkySoqsUTmuGsKTEY9ZqOewVBi1PUt3SGKvbYx78/rOLEJzDJZhffqu44YjxBCCCGEOHWM+bG2oihotZJDHEkklsJi1o+pI/CRFLgtdPZHRkxQFggnSaUVXHbjmPfldZrZuLv7uOJQVZXv/+/7dPVHSaQy/PgrF+Gym45rX0IIIYQQYvob011+Nptl+fLlpFKpiY5nxgpFU9iPs5PxIYVuC63d4RHLD3QEKS+0odGMPeHwuszHnAztSDbu6qGjN8wXb1zKvEoPj7/aeFz7EUIIIYQQM8OYkgKdTkdNTQ1+v3+i45mxgpHkcY88dEiRx0pTZ2jE8v0dAUp8Y286BGAz68kqKpHY+BO5Z97azwXLy9HptFxwRhkvvd9KMp0d936EEEIIIcTMMObmQ9dddx1f/OIX+dSnPkVJScmwdeeee+5JD2ymCUVTWI+zk/EhxV4rb23tGLG8sS1ARaF9XPvSaDQUuC10DUSZZx17s6OBYJzGtgA3XTQPyI1iVOKzsm1vH2ctLjnGu4UQQgghxEw05rvYtWvXAvDf//3fw5ZrNBpeeeWVkxvVDBSMprCaTqymoNhrpbUnjKKow/omNLT4WbO0dNz78x4clnRepWfM73l/Zzfzqz0Y9EOVSAurvbyzvVOSAiGEEEKIU9SYk4JXX311IuOY8ULR5AnXFNgsBqxmPR19ESqLHQD0+eOk0lm8TvO493c8w5K+u6OL+dXeYcvmVbr59fO7UVV1XP0ahBBCCCHEzCDDCZ0kgfCJJwUAVSUOGloG8693Nw9QXeo8rptxn9NM5ziGJU1nFHY3DzK3wjVseYHbQjqj0HOcHZeFEEIIIcT0Nua72Egkwn//93+zceNG/H4/qjo0ydbrr78+EbHNKMFIipJxTC52JOWFdur3D3DpWdUAbNrdw5xy1zHeNTqv08zulrF3Dt/b6qfAbRkx14JGo2F2mZP6/QPj7vAshBBCCCGmvzHXFHznO99h165dfOlLXyIQCPCtb32L0tJSPvOZzxzzvX6/ny984QtcccUVXHfdddx+++0MDuaehm/dupXrr7+eK664gs997nMMDAzk33fHHXdw/vnnM3/+fKLRoWYwmzdv5oYbbsj/d/7553PjjTeO47BPvpMx+hDA/CoPm3b3kFVUsorK5j291FaNvU/A4XwuC90DY28+tGN/P7PKRk9AygrtNLQOjrpOiJqamqkOQZxGFi9ePNUhTDn5mzs5jMaxD8QxlebNmzfVIRzTrFmzpjoEcYLGXFPwzjvv8Nxzz+HxeNDpdFx66aUsXbqUL37xi8dMDDQaDbfddhtnn302APfddx/3338/3/ve97jzzju59957Wb16NQ899BD3338/9957LwA333wzd911F2vWrBm2v5UrV/L000/nX3/pS19i1apVYz2UCXEyRh+C3I281WJg54F+YokMbofpuPoTADjtRqLxNIlkBrPp2LHt2NfPsrkFo66rLHbw4oaW44pDTA/ZRJRkTzNdmkLMSgJNTwPa2ADWokoS7XtI6RyYZi+nLWlHq9XT2R+h1hbE1r8LrUbLYMV57GiLE02kuGKxjWQaYlho6o2BCjpdiH3tASqK7FjMBlxWI2hga0MfFrOexbN9dPZFmF3u4kBHiObuEAuqPVhNerbs7WP1wiJC0RQNLX7mlDmoKrKQUPS55nQqLJtXSEdvmPbuECuqzZSmWzAXVuKumU8gmqJ+Xz+7mgaZX+1hdZUBbc8eEh2NmCsXYKlejN7hO+r5KXcaCG19GY3OQKqnBY3egHXeakxlc9Bojr+lZaq/nfiBraT93VjnrMRUMR+dWWrcjseWhh627u0jkc6ysraIORUWCtzuqQ5r0nR2dKHr3U+qdQc6XyW9lYspqpYbsePR2h1mc0MPnX0ZUoYeFtV4sRxWSz4QjFO/f4BdTQPMq/SwoMZDZ1+ULQ29lBfZWTnXjcHfTPLAZjQWJ5b5Z5GNRUk1bQFVwTR7JYOGEjbs6iMQSbBqQTHFDi31Bwbo6ItyxlwfBQVuGloD7GsPUFvlYV6li5auCDub+qkqdnLGXB+dAzG27u3D5zKzsjZFJJGhbk8vRr2W1QuL0WhyLQoO/U0Uu4xs3t1JbyDBink+SnxWdh0Y5EB3mKWzPMwqc7GjLUZDyyCzy1ysmu3AMHiAdMs2tJ5S9NUr6AypbNrTi8Nq4KxFxTjSgySbtqAePC6r20d63wayET+Weavpw8v2/X7a+2KcMcdDTamdzc1xGlsDzK/2ML/aQ1NniB0H+qkqcrB8no/SdCuxfZvROwuwzlmBsbByCkuDOGRcMxo7HLnOr1arlXA4TGFhIS0tx75RdLvd+YQAYPny5axdu5b6+npMJhOrV68G4JZbbuGSSy7JJwVjGep0YGCAd955h3vuuWeshzIhQtHUSakpAFiztJSfP1VPOpPlQysqjns/Wo0Gn8tM10D0iDUAh2QVlca2ANeeP3vU9WUFNjp6I6TSWYwG3XHHJKZOor2BLk0JWl2W9LtrUVu34vnQR+l/6oH8Npkdz6O76t/505v7uX4BaF/4T+LZDMlzP8/3f7eTYCTFf31uHq09UexuN79+qRGtVovHYeLtbZ35/SyZ7eOqNTX88Ld1+WXPrW/m//vkan721A6au3KT9L38fiuXn11NIpnh/V09vLKxLbccmF/lpqrEyUvvtwLw+Gv7+Ny1i1m3voV16+Ffriln1jM/gOvv5NfvJ3itrj13nJEQ8/a+QaZ5CwDhzX/BtuRCCq/6Alrj8NnCD0n7u0m+8BCWs66h/5WfgqoAEHj3Kco++V3MFbXHdc7T/m66fncP2XCuBjS06Xl8V30R18rLjmt/p7OtDT18//82kkzl5kx5fn0zX//UmadNUhCNRmH3a0Q3PAFAGtD6Kum99k6KKsqnNrgZpqMvwr/+9B0GQ0kAnn+3lX++ZQWXnFkFQCKV4dG/7OGlDa0H39HMsrkFOG1G3t7WSXmBlbOdNsLrfpTfp6l8PuEn/x2UDADJzc/iuOEu/vBK7h7pylUl/GDtdjoH4gAEEpBI9bCloQ+A1+raWbOsjEK3mVc3tWO3GFBR+dWfdwOg1YDTbuIXT+1AOdh6+8/vNHHrVQt58vX9ueM4eI199LUWUqksf97Qya1XLuCZt1oIRVO8sLGbG9ZUEIxneX1LFzvcA6xQokTX/xYAjc5Ak6aa//jT0H3dQncC9Y3/lz+u1OZn0XzkW4Re/U3uXM29mHsf20lHf+64ntvYxacum0UwofJqXRuxRIqOvgjPvHUgv8+qEgdfudiGZuOfc+fi3T9R9snvYSyQcjzVxvz4a8GCBWzcuBGA1atX853vfIfvfOc7467CVBSFtWvXcvHFF9PV1UVZWVl+ndfrRVEUAoHAmPf31FNPcd5551FQMPoT7smgqirhWAqb+eQkBSvmF1Fb5WZFbRFLZh/96eaxFLgtdIyhs3FrdwinzXjEWZkNeh0FR5hxWUx/mVA/SjLKYAIM0T6UA+9jnbuS8I43hm2nLamlpTdGZ18UT/82yGYADW3ZAoKRFBaTHn02iUGvpbkvxe5mP0vnFvDO9s5h+zGb9Dzz5v5hy+LJDHvbAvT648OWv7qplXOWluZv6g9paA1Q6Bm6iVcUlfoDA8wqcwLw2HsBmHUO8YZ3h73vnEryCcEh0fo3SA92HfH8pHqa0VnsxFt35ROC3IdmiOx884jvO5Zkd1M+ITjE//pvyYSlKd54bdnbl08IAFQV1r19gEBw7IMpzGTR/l6Sm54ZtkwZaEMZbJuiiGauAx3BfEJwyK/+vAt/KAFAZ1/0sIQgZ/u+fqpKcg9G77xlKfH3/5Rf51hxGYk9b+dvnAFQsmT3vJEfTrx3MJpPCABmlTnzCcEh67d35ocQX7OslOfeac6vW1Dj5f2d3fmEACCVUWjvjeBz5VoTqCo8+04Tn75qYX6bZ99u4vwzhu6z1r3XwQVLCgG4doWL7KYn8us0s1bz+PtD16aKIjvO7roRx5XY8QreSz4NQNtgKp8QHPL7N1q5ZFnunuyCFZU8t75p2PrW7jAd2aF7GyUWItV9ADH1xlxT8L3vfS/fufib3/wmDzzwAKFQiB/84Afj+sDvfve7WK1Wbr31Vl566aXxRTuKJ598kq985SvH9d76+vpRl9fV1Y26/EhSGQVVUWhq2ndccYym9OBcZXsbx3YT3rC3YfQVmRjvb92LJdN91PdvbIzgNGePvB/Aasjw2rvbCfaenKYP4z3P08FoMZ+MpmtHKosnS6nLgkNVUQH14AVeozeipof/MKo6I+msgsGgRZOJowJoNBya0Fqn06CgoNVoyBz263TYuAMAGA1a4qmRs2AnUxn0uuHPIjLZ3JsVRR2x/QcXJdMZjHrdwX9nUfUmSEWwW4eSWS0KowkMDtDeMXrH+yoio54PgHQszK5du4jH46O88+iq1JE3rGo6RU93F917m0Z5x/Qw0eVxvBYvXkxilFnVk6ksmawyI68l41Xlc6NmMyOWq9nstD3+6XptjCacI5Yl01k6u7o50DiAYhz9Ydyh65FBq6JJJ/LLtWYbRHtGviEVw3Kw6W72AxezUS53B5fnVhj0OpKHlXmjQTcsKc5/RDo7bF6hZCqb/8xDx2XQD9XuH36dNepAzaSHdmYwkUgPrTfotWjSo4w6mIqjseRuUtKZkdfbdEY57DdBHXHswLDfD4BELELDBJfjqW5mPhOMOSmorBxq7+Xz+fj+978/7g+77777aGlp4eGHH0ar1VJaWkpn59ATxsHBQbRaLe4xVgdv3bqVYDDIhRdeOO5YAJYsWYLJZBq2rK6ubtwFp2cwhtM+wPza+ccVx4lq2NtwxM8OZ3sYCMaPeUyv76lj8Twf82uPPEFZX7yDDLBq1RknEi5wfOd5qk1kzKOVxZNJVbJEGiO49BpUbRHawhpi+zfjXHE5gfVP5rdT2rZRtegWdBoNkdJVWPe+DapClSWCQa8lEktjMFoIhxWqC4wUeSy0doVYUONhT/PQDXdnX5Rr1tTwP0/uyC/TamBhjZdXNg1/snnmwmIaWwMsry1k696hJ2c+l5l4YvhN0LK5hfzm+Vx1+g2r3Oj2/wHzZV9i3yuB/DYNfhMlvgqUgaGaB1P5fApqFlBsdYx6flJ9bXS89is8a24i3rRt2DrX8ospnbXoWKd49P32thIxmFEPu4FwnX09nrkLKT+BfgpHcrJuDie6PB6PlbVFPL++eVgCevnZVRR4nRR4Z9a15Hj4/QGMC84nteet/DKtxYHOW86q6pqpC2yCTURZbO4MYjI0DLvpvumiuSyqrUajqSESS7F4dhs7Dww9NS/z2QiGcw8NHvlLE3+//BrSr/4cgOC763Dc8FVSe4fXWuoWXMQbj+audyUFNmwWA9F47ibcH0pQUWSnvXfowcG8Cnf+M97f2c1Fqyp45s3cE/SdBwa45bL57G4eXss4q8zJ65uHrnWXnVXFo3/ZnX99yZmVvFc/VEt69kIfDe25h40v7oywdMmlZLe/kFvZtJHrVp7L/7yQi6m5K0Tk7LOx7Htv2GeallzCwHP/BUBVoXXYcQFcvqqE3Z25ZGJ38yDnLCnh3R1DDybddhMVlqEHMBqdAUfVAlaVSP+YqTbmpEBVVf74xz/y7LPP4vf7WbduHRs3bqSvr4+rr776mO9/4IEHqK+v52c/+1m+t/+SJUtIJBJs2rSJ1atX89hjj3HllVeOOfgnnniC66+/Hr3+xDv4nohQ9OSMPDQRCt0Wtu3rO+Z2e1oG+etLjt5uusRnY/0HmomImUGj1WEunUNloJtOinFc+vekd79JNhHFc/GniO56C9Xsxrr6OvwZlVuvWsDO9kFWXfJlzA0vYerawL/eegvPvt/D7zZG+Oi5PpKZNLd/ZCnr63uYX+2httLD1sY+aivdzC53YbUY+NLNy/jLey3YLQYuP7uG5q4g/3zLCt7a0kFje4CzFpdQ6rPy9JsHuOmiucwpd7Fxdw8LqtxcuLyE/kiGxbN9qKrK1Wtm0djmp6bUyRXLXCzSHMB6yd9irVrIl29RePn9Vt7f1U3GaMN97T+T3f06saZtWOeuxnHGh9EdISEAMBZW4rj+K2Q7duK79DNEdq8HrR73mr/CXLHguM+7saiK0k98h+D760j3t+NYfim2BeecUMfl09WcCgv/3yfP5Nl3DpBMZbn87CoWV4184nuq8njcpM68CY2nDGXfu1AwC+vyK/CdwgnBRKkpc/G9L67hT2/so7MvypXn1nDu0tL8fEB2q5F/+psVvLyxlQ07uzljXiEfXlXJrgMD1JQ6cdqMKJVnYL3si6R3/AXMLjTOQhzXfZXE5mcBMK+8Br99FkvnqoSiKbqCae7+9HKee7eVpp4YpS4dH/7rM3h1Uxt7WvwsmePjwuUVvL+rm6oSBzWlTs5fVobXYeaNLe34XBYWVHv451tW8Od3mjAZdFz/odnodVqWzPEd/JuoZk6Zg/kVTjqtSS5bWczC2T7SiTi7jTrWLPSwZmkpL23pparEwdxKD4ZltRicBSh730J1V7B8bgFf/oiTP2/owGkxoCuZhfP6O4lvfhZUFdOKq9F6yrDULCEbGcCV7uLfPnMGz65vo6knxkVLCzh7UQFPb8h9hqrCTRfNo7zQwcZd3dSUObnynGpKIvWEimvQu4pxn3M9xuKaKSwR4hCNqn6w4n90//mf/8n69ev59Kc/zd13382mTZtoa2vjy1/+Mk8++eRR39vY2Mi1115LTU0NZnOu7VtFRQUPPvggmzdv5u677yaZTFJeXs4Pf/jDfP+A22+/ne3bt9PT00NRURG1tbU88sgjACQSCc477zz+8Ic/MGfOnHEddDKZpL6+/qTVFGza3cPvX2rgU1cf39PEE3W0moJYIs2PfreZ33//6iNOgBaKpvj8917kW589G632yJOkRWIpfvz7Laz93pH3NVZSU5BztLI4UTLxCKmsQlLRocumQadFo0JG1aDX69Blk0SzBgw6lYyiwaRTURTIanTYjDqSGYWsAgadSlZV0aoqyQzo9DqyiopepyGTVdBpNagqaABFVTBoNaQVDWZthqxGTyKtYjRoMWg0JDK5Km5NNouKgsFsJp1RcNpMpNJZUMFo1JHJKGQVBSWdAo0Gi3Woz4GqqiRSGUwGPVqtBlVVUFJJtEbzmMprXV0dK5efgZLN5G7aNaDVn5zhCtVsBjWbQWs8vpHExupEy+hUlMfxCoQiKIqK133kJO9UNzgwiNFowO44dc/BZJTFTFahsXE/CxeMPtznB68pkOsbZdRr0R1sBhkMhNDp9NgduXmKQqEQoMHpzH03wXCSVCZLoSe3PhyOkUqn8Xlzg39EIknCiSRehyl/nF39IVxWE1Zr7nXPQASLQYPTmWu62x8Mo0ODx5VrwjMYiqCoKgWu3GfGojFSqQxuTy5pjsUSJOJxvL5cf4VUKkUgnMJpM2I2565x0VAYvcmYjyEeiaDTGTBaTPn1KmA/eFxqJoOqZtEaDm4fi5KMJ3H7vLlzm1GIJtM4LAa02oPnKprEajLkmzspqQQanR6Nbmof7IohY/4m/vSnP/GnP/0Jr9fLd77zHSB3Y9/WduxOTvPmzaOhYfS26itXrmTdunWjrvvJT35yxH2azeZp044yGEmOmPBrurCac3+A/YHEsE6bh9vb6qey2HHUhAByT0+0Wg2DoQQ+1+j7EtOf3mJHDxx5qj3rUdbBaD/Pe4/jZvTwZ7yj9VI5+Fs0bLQrvV6LHi0YR166NBoNFpPhsNdadKbxlVONTo9uAn6g5Ifv5HE77dTV1eGdYQ8VTiavzzsjH6xMN3qdllg0dMT1H7ymAMPa6wO43MNrq5zO4a9djuFXTIdj+NXVbjdhtw/fprRg+D6KffZh3/ehm/9DvE77sNdWmxXrYRdVq9WM1Tr0QMJoNFLkG/7Aw+Ycvk+L3X7U9Rq9Hs1ht5AWq41du/ew6mBSoNdrcemHH5fLNvz1RD8kEeM35jrsbDaLzZYrZYeeukWjUazWE5/Fd6YLRk7OHAUTpdhrpbXnyBe+3c2DlBfaj7j+cCU+Gy1dMgKREEIIIcSpZMxJwYc+9CHuvfdeUqkUkKtW+/GPf8yHP/zhCQtupghGkidtONKJUHiMoUR3NQ3kh1oby75auo+cYAghhBBCiJlnzEnBXXfdRX9/P6tWrSIcDrNixQo6Ozv56le/OpHxzQj+cGLadjSGXE3B/vbAqOuyisr+9iBVxWNMCjySFAghhBBCnGrG3Oblv/7rv/jSl77Ev/3bv9HR0UFpaSmFhYUTGduMEYwkqRhj85upUFZoZ+PuUcZQBpo6gzhtxjH3iSjyWNnV1H7sDYUQQgghxIwx5poCRVG47bbb+PSnP817772Hoow+QdDpKBhNYbOcnFFKJkKx10rPYGzYmMyH7Dw4xNp49tXeG2GMg1YJIYQQQogZYMxJwbe+9S3eeust7rjjDvbs2cOVV17JZz7zGZ566imi0ehExjjthSIpbJbp29FYr9NS7LVyoD04Yt22xj6qS8aeFFjNBvS63AhEQgghhBDi1DCuGXR0Oh0f/vCHeeCBB/jDH/7A4OAgX//61zn//PP55je/SU/P6E1UTnWhaGpa9ykAqCx2sLt5YNiybFZh54EB5lS4xrWvIq+Vth4ZgUgIIYQQ4lQxrqQgEonwxz/+kU9+8pPceuutnHHGGTz66KM899xzWK1WbrvttomKc9pKJDMoqorpsLHUp6PqEifb9/UPW9bQ6sfjMOOwjq/pU6HbQltP5NgbCiGEEEKIGWHMbV7+6Z/+ibfeeoszzzyTj33sY1x66aUYjUM3k9/4xjdOy4lUgtEUDqvhhGf4nWizypw889Z+0hklP5vge/XdzKt0j3tfBTIsqRBCCCHEKWXMScEZZ5zBv/7rvx5xxCGtVsv69etPWmAzRTCSxD6NOxkf4rAaKfJY2bG/n5Xzi1BVlTe3tPPxyxeMe19FHivrd3RNQJRCCCGEEGIqjLn50Oc///ljDkFqsVhOOKCZJhBJTvv+BIcsnOXllY2tAGxu6MVk1FHiG/+M1EUeCx290qdACCGEEOJUMa4+BWKkYHjmJAWrFxRTt7uHnQcG+L9nd3HBGeXH1ezJYTWSziqEoqkJiFIIIYQQQkw2SQpOUCCSxGqevsORHs5i0nP9h+ZwzyPvUeSxsmxuwXHtR6PRUOK1yQhEQgghhBCniJlxNzuNBcJJbGOcDXg6WDqngKVzji8ZOFyhx0JbT5jFs30nISohhBBCCDGVpKbgBA2GE9hnSPOhk6nAZaGlS0YgEkIIIYQ4FUhScIL8oST2cY7zfyoo8lhplmFJhRBCCCFOCZIUnKBgJIndevrVFBTLrMZCCCGEEKcMSQpOUDCSxHEaNh9y2Y0kU1nCMRmBSAghhBBippOk4ARksgqxRAbrDOpofLJoNBpKfDaapV+BEEIIIcSMJ0nBCQgenLhMqx3/WP+ngiKPVTobCyGEEEKcAiQpOAH+cBLHadjJ+JBir5UDHcGpDkMIIYQQQpwgSQpOQCB8enYyPqTEZ5XmQ0IIIYQQpwBJCk7AYChxWicFpT4brd1hsoo61aEIIYQQQogTIEnBCfCHEthPw07Gh5hNehxWA519kakORQghhBBCnABJCk5AfzBxWvcpACgrtLNf+hUIIYQQQsxokhScgMFgHIft9E4KSgts7G31T3UYQgghhBDiBEhScAJO99GHACqK7OxpHhzXezJZhUxW+iEIIYQQQkwX+sn4EL/fz9e+9jVaW1sxGo1UV1dzzz334PV62bp1K9/+9rdJJpOUl5fzwx/+EJ/PB8Add9zBhg0b6OvrY/Pmzdhstvw+A4EA99xzDzt37kSv13PVVVdx++23T8bhDB1XOInjNO5oDFBeaKelO0Q6o2DQHzvHfObN/Tz6lz1kMlluje7jxg/PnYQohRBCCCHE0UxKUqDRaLjttts4++yzAbjvvvu4//77+d73vsedd97Jvffey+rVq3nooYe4//77uffeewG4+eabueuuu1izZs2IfX7961/nnHPO4YEHHgCgr69vMg4lT1VVAlJTgNmop8BtYX9HgAXV3qNu+/z6Jp5+cz9/f9MympubePadA7gcRi5eXTVJ0Z7eBgJxWnrCKIpKLJ7GatGj12nJZLJYzAaSqSzRRAaDDnwuK4FIkmAkRWmhDQ0q8WQWVVFRAZvFQDKVATSEYylstnI27e4mEktT5LUyGExgsxrIZhU0Gg3ReBq9TkuB20wgkkLJKhgMOgKhJF6XGZ/TRDKj0NUfxWkzoqgqwUgKl91IgctCeZED3RRPEpgJ9pPqb0ej1WIoqETv8ExpPKej/e1+OvuiZChkb+sgtVVHv+acagKhBG19Ebr7o7js5bR0BagudU91WDOCP5zIjZaXVagodlDksQ5bn0hmaO0J4w8nKPbaKHSZaeoK0euP4XNZmFVio7U3RvdAFIfNSKnPQiyh0NkXwWjQUVpgQ1WhvS+MBg3lhTY0Wg3d/VGSqSylhTbsZgOdAzHC0SQlPhtFHhPtfXEGAnEK3RbKvTa6gjF6BmK4HSZKfTZCsRRdfVEs5hKaOgNksirtvRH0Wg2lhXY0qHT2xcgoCuWFNox6LV0DMaLxNGWFdnwuA609cQKhBMVeK+VFZtp7E/T5Y3hdFmaV2ujoj9PdH8VuNVJeYCWWzNLRF8Wo11JZbEen09LSFUJRoabECRpo7Q6TTGepKLJTUWSntTtMKOumtTuE12WmqSNEXyBGkcfK7DI7+kgvaX8vOpsTY0ElWpNlikqCOJpJSQrcbnc+IQBYvnw5a9eupb6+HpPJxOrVqwG45ZZbuOSSS/JJwbnnnjvq/pqbm9m7dy//8z//k19WWFg4gUcwUiiawmjQYjToJvVzp6OaUif1+/qPmhS094b59XO7+du/WorPZaHfouOjl87nF0/Xc9aiEuyneXI10boHIvz6ud0sqPby6+d3k0xlAbj4zArOWVzKtvpu6vcP0NEX4eufWs2WvX08+sJuXHYTX/rIGfQMxujsjxAIJ7loVQWbG3pxWo288F4L5YV2tBpYv6OLz167iF+u28miWT4yWYWFs7w88+YBBkMJAGor3Vywooz23ih/ea8FAL1Owz/cfAb/++wuQtEUWg189LL5vLqpjT5/jI9fuYD5VQmW1xZN2flL9bXR/ft/JxPsBcBQPIvim+7A6C2dsphON7ubBvjpn3bkBzbwOs189RMrWTp3cq/9U2n7/n7+39otZLIKAFevqeGqczXUlLmmOLLprXsgyv2/3URDawCAAreZuz9/Tv68JZIZ/vTGPn73lwYAir0WbvrwPH765HYUFeZXufnIxfP40aObSaZz186vfmIVP3tqB6FoCoC//aslPL++mbbe3Gh8//EP5/HbF/ZQv38AgI9dPp++QJyX328FwKjX8pWPr+L3L++hqTNMbZWba8+fzX/9fku+ee31F8ymwG3il+t2A3D3bWfz0OPb6QvEAZhV6uSWy+fzg99uAuDys6uIJTK8va0TgGVzC1hQ7eUPr+wFQKfV8I9/s5w/vb6Plu4whW4Lf/tXS7n/0br8cV20soLltQX852NbAVhU4+HKNbN44HebAbjpork0d4XY3JC7FjqsBu74+Cq+84v3ADhnSQm1VR5+8/xuVBW0GrjthiWc0fwomdZtALjP+wiuc/8KnWl4Yiam3qT3KVAUhbVr13LxxRfT1dVFWVlZfp3X60VRFAKBwFH3sW/fPoqLi/nmN7/JjTfeyBe+8AUaGxsnOPLhBkMJXHbTpH7mdFVT6mJbY/8R16uqykOPb+PClRUUuIeeDpQW2FhY4+PJ1/dNRpintcbWAHqdjj+/05RPCAAMOh2/enYXBr2Wfe0BLj+7imAkxR9e3ouiwt9cWsv7O7vY1TyAx2mmyGultTuM1WSg1x+jrSfM3AoX63d0MavMSUOrH384SU2Zk+6BKPvaAvmEAGBvWwCnzZxPCAAyWZX/fXYXF66sAEBR4YlXG7lwZQWKCn98uZE9zYP0H/whnArh7a/lEwKAdE8T8f2bpyye09Hu5sFhI50NhhK89H4rsVhqCqOaPI3tfn7xdH0+IQB4bn0zXYOxKYxqZtjW2JdPCAD6Awmef7cZ5eAcOy3doXxCAPChFRX88pmdHJqC54s3LuOX63bmb5wX1nh5ra4tnxC4HSY6+qL5hMBqgLbeSD4hgNxkn4cSAoBURuGRdfV84YZlAHz88gUHv9+h/nbPvHWAEp8dgBW1hazf3pVPCACaukK09YTxucwAFHqs+YQAcknBoYQAIKuo/OLpej7y4XkAfOGvlg47LoDXN7dj0A897NzV7CccS2E2atFqwGzS5RMCgHAszVNv7ue682fnz91vX9iDevAwFBX+99ldhJf9Tf49gXeeIN3Xhph+JqWm4HDf/e53sVqt3Hrrrbz00kvHtQ9FUdi2bRt33HEHq1ev5sUXX+Tv//7vefnll8e1n/r6+lGX19XVHfO9ezvi6EjTsLfhmNtOhqmMQ00r7Gry8+6GjRhH6VfQ0B6nvTvA8ipo2BseWr63gXJXlmff6mWeLzrqe6eb0crGqlWrTni/RyqLJ8tg1E2hx8JrddFhy112E+mskr/hLiu0E4ql8j8SdquBrKrS0Ruh1GejwG2htTtEaYGNzr7cvlKZ3E1KWUGufwlAOqNQVpirUv6gUDQ5yrIUFuPQ5ejQPgGS6SzprEprRw8th/3IToTRvl+H3YatddeI5bHWBtqtNSQSiRHrZrqJLo/jtWTJElpGKUv7O4IEowl2794xBVFNLp2jEn945N9OIJwc02/WVJgO10aTycTelpHnbeeBAfbszT2Q6ugePoKeRqMZdqOczGTpHhhKvkoLbOzYN/QgrNhjpeOw+XrmVfvo+UCyFomlR8TQ54+jHrx7zmSVfJJxuGAkt6y2ysOm3T0j1jd3hZlV5mQgmCB92HUThl9H83HE03CwJabZqKNrIDpim0OfeUjPQJRCj5WBYIJwdORxNHeGWLM0V2saS6TzydYh6YxCMKXl8AZDod5OdvZM7hxHJ6M8nuomNSm47777aGlp4eGHH0ar1VJaWkpn51BWOzg4iFarxe12H3U/paWllJaW5psdXX755dx5550MDg7i9Y69jemSJUswmYY/7a+rqxtTwelPN1Pa18382qnvKNuwt4H5tfOnNIaNTTvR2ipYtWR4c4psVuHnL73KdR+qZUHN0HdzeMx7unYT1RRz7qrp3bdgrGXjeIxWFk+m7M5utu7tY0GNhz3NQz+AHb0RXHYTpQW5Tvy7Dwxw1pISnDYjoWiKrv4oRoOOBTVerGYDzZ1BqkucZBWVWeUuNu7uwXSwCV1jm5/ltUW090YwGXTsawuwamExrT3Db+Z8LgtaDRz+u1FaYGPgsBoFp81I6uCPstNmxKDTMLe6FKe9ZoLO0NG/34B/DcnO4bWR9tpVlC5ePGHxHI+TdXM40eXxeCys8fLqpuFPF1fNL6K00Elp4an/Y9/SFaSy2EHbYX9PGg2UeK2smF8zdYFNsJNRFgOZDl58v33YsvOXl7NowTzq6uqYVVmAVqvJ38wmkhlcdmP+5tig1VJb6WZvWwCAva1+lszx8Vpdbp+tPWGuOW8WW/fm+jZu2zfApWdXD/s8j9M8Iq455a78jbyq5q6DXf1DN+laDfna9Q07u1m9sHjEvEALZ3n4zXN7APLX4kMMOi06rYbsYRfbIo8lX1vcH0ywoNrDnpbhSVGhZ3h7/6oSJ8++04Si5GpFPmh5bSFb9uZqDywmPWajjsRhNdJ2iwGf4bCHJxotrvJZFBXXjNiXmFqT9mj2gQceoL6+ngcffBCjMdd+fMmSJSQSCTZtyrWHe+yxx7jyyiuPua8lS5ZgtVrzTYY2btyIy+XC45m8jn/9gTj203zkocMtrPHy2ub2Ecv/8l4LZpOe+dVH/m5WzC/ixQ0tR1wvTtz8Gg+Larycv6ycqmIHACajjupSB5++ZiHBSJJLz6ri7R1d6PVaPnfdYrxOM0+8to+zFpVQXmgnEE3isBkp8JjRasHnMnPB8nI21HfxN5fUEoymcNqMnDGvgI27u/nQinIcFgPLa3NtvrVaDdecV0Nj6yCfuHIhNnPumUSx18rf3rCErQd/VLxOMx+7fD4vvd+K12nm1isXcOaiEpxT2FzPtuAcbAvPy73QaHGsvBJLzdIpi+d0NKfCyZXnVKM92OF85YIizl12+vTpqC518bd/tZRSXy6Bt5r1fPGmZRR7bcd4p1g828cNF87Jl51zlpRw0cHmigBVxQ6+9snV2Cy53/Tt+/r4p4+uwHvwRv5Hv9vCZ65dTEVRrilPfyDOeWeUs2RObqTEdCZLmc/GRasq0GhyyVqBy8JNF81Fr8t95v52P39741Isptx1r7zQzueuW8zPn9oOwO9e3MPf37SMYm+unb3NrOdLNy9n14FcjURHX4Slc32cubAYyCUMl51VRYHLQiqTuwEPRhN8+uqF+Vr3PS0DfPmWFfnjKvJY+NLNZ7Du7QMA/Ob5nXzq6kVUHvxNMBt1fP76xfT5c7UcOq2G6z80G4Nei6rmjiudUfibS+blj2thjYfLzq5i695cnK/XtfLlW1bgsufu8zwOE/98y3LsO/6Yi9tkpeiGf8ZYUH4iX6mYIBr1UN3VBGpsbOTaa6+lpqYGszn3R1ZRUcGDDz7I5s2bufvuu4cNSVpQUADA7bffzvbt2+np6aGoqIja2loeeeQRAHbs2MG//du/kUqlsFgsfPOb32TZsmVjiieZTFJfX39CNQU/fmwzNouRsxeXjOdUTIjpUFMQS6T50e828/O7Ls33tQhFU/z9fa/wqasXUlZgH7b94TFnsgr3/WYT/3XHRSNGhJhOJqKm4Ghl8WTLZhWaOoNksgrprIpBp0EDpLMKNrOReCpNNgug4nGYCMXSJJIZHDYjOg0k0krucZYGTAY9GUVBVVRSGQWDToNWqyGWyOK2m4gk0hh1uV/HTFYlqyjotBrsFgOxRIZMVsFk1BGOprBbjZQW2EimsvQF4pgMWtJplWQ6g8Wsp8hjxe0Y+ZTtZDvW96ukkqQD3aDRYPCUoNVPv87xJ1pGJ7M8Ho8+f4TugTiZrEqx10JZoWOqQ5p0TZ1BBoJxbBYDC2t8Ux3OhDnZZTGTydI5ECWbVSn12TAfvDk//G+mZyBGJJ7C6zLjcZhp7w0zEEzgshupKXXR0hWiLxjHatIzu9RGfzhD32AMg15LaYGVjJLr1IwKpV4bJgO09sVIpxWKvWZ8TiNNXVGiyQw+p4lZZW4aWgYJx1K4bCbmVXlo6ggwEEpgtxhYUOOjpStIfzCJyailpshJOJmmZyCKVqulrNCMqujoHoiSySoUey04zEZa+yIkUhkK3BaqS5zsaR4kEk/hcZiZU+GmuTPIQDCB225kTqVn2HHNLXcwGE7R1Z87rpoyJxqgpScMKlQW2zHqtOzvDJFKZykrtFPottA9EKOju495NaW47CZau0P4w0m8TjOVxQ4ykQDZ8CBaiw2Du/iEv08xMSYlKZhuTkZS8K2H32H5vKKjPgGfLNMhKQB45q39udEMblyGqqr8+/+9j16n5eo1s0Zs+8GYn3pjP4tmefnIxfOO+/PDO95g8NXfoLO5KLrhyxgLT25zpJmeFEykiWxaNVnkGGZOeTwVvqsTdaqfg8kqizPlPM6EOGdCjOLopn/PzmmqLxAftW3d6ezDqyp5a2snv3+5gR89WkdXf5TLzhrbjfni2T7e2tZx3J8dO7CVgZd/heeCv8Eyaxlda79LNj65nZiEEEIIIWYqSQqOg6qqDAQS+TZzIsdhNfKZaxexp9mPRqPhM9csGja02SHZeARdoAslMzQixOwyJ90DMfr84x92Us2m6f/zw7jPuR6Drwzr3FWYSufif/OxEzoeIYQQQojThSQFxyEST6PVajAbJ31E12mvyGPlpovmcvnZ1ZhGOT+Jrn30rftvTO1b6H3mv0mHcqM16HRaFlR7eK++a9yfGd7+OjqHB1PZ0EhQ9qUfIrLjDTKRwHEfixBCCCHE6UKSguPQ54/jkaZD45aNBQm8/Tj2ZReRrFqFpWoJ/tfXomYzQG4Eo/XbO4+xl+FUVSXw7lPYFp03bLnO4sBctYjw1uObC0MIIYQQ4nQiScFx6PPHZDbj4xDc/CKmsnkYPLkRm8yV89GabUT2rAdgboWbfe0BwuOYoTTRkpvYxlhUPWKdZc5Kwltf5TTsSy+EEEIIMS6SFByHnsGYdDIep3Son1TnPsw1S4Ytt85dSXTnOyiZJEaDjjkV7lFnbTyS8NZXsM5ejkajGbHO4CsDINmxd8Q6IYQQQggxRJKC49A1EMUtNQXjEt39LqaK2hFju+tsbvSeEmKNmwFYUO0ZcxMiJRUn2rgJ86zRJ5HSaDSYqxcR2fXOiQUvhBBCCHGKk6TgOHQPxEadslyMTskkSTTvwFw++lwK5soFRBveQ1UV5ld72dbYTzKdHXXbw8X2bsJYWIXObD/iNuaqRUT3vCtNiIQQQgghjkKSguPQMxjFK82HxizRshOdpxit2Tbqer27GDQaUj3N2C0GygptbG3oPeZ+w/VvYq5efNRt9K4iILdvIYQQQggxOkkKxklV1dzoQ1JTMGbRfZsxl8w54nqNRoO5rJZo4yYgNwrR29uO3oQoG4+QaNuFueLoMzlrNBrMFUP7FkIIIYQQI0lSME6BSBKdVoPFJHMUjEU2GiAb7MVQWHHU7YwlNSQ7GlFScZbM9rFxVzfpzJGbEMX2vo+pZA5a47GTM1PZPGKNG8cduxBCCCHE6UKSgnHq7ItS4LFMdRgzRqx5O8aiGjTakTMbH05rtGDwlRJv2YnTZqKkwMam3UduQhSufxNz1cIxxWAsqibd30E2Fh5X7EIIIYQQpwtJCsapqz+Cz3nqJwWqqpIO9JAJD5zQfuJN2zEW14xpW1PpXGL7cqMQLZ1TwKubWkfdLhsNkuxsxHSMpkOHaHR6jCWziDdtG9P2QgghhBCnG2kDM04dfVE8zlO7k3E2EWHwjbVko0HIZjEWVuE+/ya0+vEddzrYhxKP5joSj4HBV0Z097ukg30sm1PAX95rIRhJjpgoLrJ7Peby+SOGNz0aU8ksYvs2Y198/riOQQghhBDidCA1BePU1hOmwHXq1hQo2TSDr/wGnc2De82NuM//CKhZBl99FFU59jChh4s3bcNYMguNdmzFTKPVYSydTWxfHWaTnkWzvLy0oWXEduFtr46YBA2gJ5hmW0uM/nBmxDpT2VziTVtlaFIhhBBCiFFIUjBObb1hirzWqQ5jwoS3vorGaMI6dyUajRaNVod1wbmo2Qzhba+NeT+qqhJv2jHmpkOHmMvnEd+/BSWb5pwlpax7u4l0RsmvT/W2kgkNYCodGs2oP5zm35/u5Bu/b+exdwe583dt/M/LvaQOe5/O7gWtnnTf6E2ShBBCCCFOZ5IUjEMmq9Dnj5+yNQXpYB/x/ZuxLTgHjUaTX67RarEvOo9Y40ZS/u6x7au/DQC9s2BcMeisLnTOAuJN2ykvtFPosfDihub8+mDd81jnrsh3XN7dEefrj7Xjtev58hXF3Hq+j3+8vIi+UIZ7n+kik83VDGg0Gkylc4jt3zKueIQQQgghTgeSFIxDV38Uj8OEQX9qnrbw1pcxVy9CaxyZ9GjNViyzVxDcsG5MTXBi+zdjKp01LLkYK0vVIiI730JVs1x2ZhW/+0sDwUiSbCxEdOfbWOeuBmDDvgg//HM31690c8F8B3pd7rNMBi03nukmq8Cv3urP79dUOluSAiGEEEKIUZyad7cTpKU7RKHn1Gw6lA70kuptwVR55GE+TeXzUFNxEi31R92XkkmSaNk1rInPeOi9pWj1RmL7tlBWaGfl/CLu/b/36X79cczVS8Bs5/H3B/n5a/18/Fwvc4pHzlWg1Wi4YaWb9/dF2d4aA8BYPItkZyNKKnFccQkhhBBCnKokKRiHAx1Bik/R/gSRXW9hqlyAVmc44jYarRZr7ZkEN/8FJZM64nbxpu3oPSVozfbjikWj0WCtPZPw1pfJRAa59MwqTCS563Uzjw4u519+08qmA1E+f2EBpZ4jj0BkNmq58gwXP3u1j3RGRWs0Y/CVEz9GUiOEEEIIcbqRpGAc9rcHKCuwTXUYJ102HibRtgfzGMb9N3hK0DsLiNS/Nep6Vc0S2fUO5soFJxST3lmAZdYZ9P/lEcJ1z3Ne6AWuWWLGajVx1XIXt57nw2k9+oRoALWlZrx2Pc9tCwDk+hXsqzuh2IQQQgghTjWSFIxDU2eIUt+plxRE976PqXg2WsPIZjijsc1bRWzvBtLBvhHr4k070OoM6D0lJxyXuXIB9sXno2bTOFdexuw5lZw520aVzzSuvgqXLHbydF2ASCKLqbyWWGOdDE0qhBBCCHEYSQrGaCAYJ5XO4nacWhOXqdkMsb2bMFWObXZgAK3ZjmX2SgJv/WFYM6JsMk5oy0tY5q48rg7GozF4SrDMWobe4T3ufRQ49MwvNfN0XQC9qxBQZWhSIYQQQojDSFIwRntb/VSVOE/aze50EW+pR2d3o7d7xvU+U0UtWosd/5u/R0nFUdIJ/G/9HmNhFYaTUEtwsl0w385LO0KE4lnM5fOJ7t041SEJIYQQQkwbkhSM0Z4WP2WFp2DToT3vYa4Yf/t/jUaDbdF5aLR6ep78ET1P3I9Wb8I6b9UERHniXFY9SypztQWmilqie96d6pCEEEIIIaYN/VQHMFPU7x/g/DPKpjqMkyrV30Y2EcFQUHFc79doddgWnoNl7gpAHXOfhKlyXq2Dn77Sx3UrKsgE+0kHejG4i6Y6LCGEEEKIKSc1BWMQT2Zo6QpRVeyY6lBOqsju9ZjL56PRnlgx0BpM0z4hAHBadCytsvB0XQhz5UIiu96Z6pCEEEIIIaYFSQrGYHfTIOWFNoyGYw+BOVNkon5SnfsxlddOdSiT6rx5dl7fEyZWuIjIjjemOhwhhBBCiGlhUpoP+f1+vva1r9Ha2orRaKS6upp77rkHr9fL1q1b+fa3v00ymaS8vJwf/vCH+Hw+AO644w42bNhAX18fmzdvxmYbatM/f/58amtr0R58yv2DH/yA+fPHPoLOeLy/q5u5le4J2fdUie5aj7FsHlrDkSf/OhU5LDpWVlv50364OREh2X0AU8nsqQ5rUgwG4ySSGcLxNHarnkgsg1ajwWLWkUwpqKqKClhMOtJZhUxaBQ1oNWAx6YklMmQVFZfdQCSeQa/VkkxnMeg0lNfMZ1+7n2xWxWTUAhoURSWbVdDrdaTSWcwmHRoVEmkFULFbcvsx6LTodBBPZjGb9CiKilYD6ayC/uDft06robTAhl6vI5NV6A/E0em0FLotU3lKxRRobPNj89UQDMVwOU/NySSPprMvSjCawFNyfDPGn876/DEURaXAY0WnHTloSCiSJBJP43aYsJoN9Pqj+ENJnDYjpQV2egYjDIaSmAw6Zpe78Yfi9Pjj6LQa5lV6SCaTtPTEACjz2rDbjexrD5DJKpR4rLidZpo6AyRSWbwOM8U+G63dIaKJNHaLkcpiB139YQKRFGajnlllLvoGowyEkriKc79T0WiK9v4oGo1KbVVuVL7GNj+KAiUeEy6nlQMdAVLpLAVuCwVuKy2dIWKpNC6bibJCO519YYLRFHazgcoSJ33+KP3BRP64kukMnb1R9DotlSUOFEWhrSeMioaKQjt6vZbmziDpjEJZoR2bxUB7dwirt5rBUByv00JXf4RQNIXbbqLYZyOezOAPJbBZDLjsJtKZLP2BBCaDFq9LruPTxaQkBRqNhttuu42zzz4bgPvuu4/777+f733ve9x5553ce++9rF69moceeoj777+fe++9F4Cbb76Zu+66izVr1oy638cee2xYojARVFVlw85uPn75xCQcUyEbjxA/sA3XOTdMdShTYk2tnYde7uXiZauxbn6Rwqu/ONUhTbh9rYMkMwrv7+pmZW0Rb27p4I3N7Xz08vnsa/NT5LHy53eaiCUy3HnrKt7e1sn67Z0Ueazc8YmVtHYHWPtiA10DURbN9vLxy+fzl3dbeLe+i7s+cxb7O0O8vrmdrv4oN144l3gyTVNniIU1Xl6ta+PCFRVYzXr6/HGeeesAmazClefWUFvpZjCUYGfTAItm+di4q4edBwYo9lq57vzZ7NjfzxnzClCBV+va+NDycl56v5Xn323GZNTz6asXcuHKCqzmI8/ELU4NBzoDbNzVw5Ov7SOVVrj0rEouPbOa+dXjGzltJtt5YIDfvrCb+v25v5HPXLuIJbN8uJ3Tv/nmVArHUrxe18Zvnt9DOqNw/QWzuO6CORQcfKigqio79vXz4OPb6OyPsnROAR+7fD7/++edNLYGqCx2cPvNZ/DYy3vZ0tBLgdvMZ65ZRCat8N+Pb8Ni0vOVT6xg1wE/694+ACp86eZlROJpHnuxgWgiw7Xn1bBoVgGPPFNPXyDOuUtKuXJNNY88s5PW7jCzy1187rrFPP5qI1v39lHis/KPf72cP7/TxHv1XThtJm69cgFmo5Yf/2Ebep2WGy+aw5xyNz/6XR2ptMLfXDKXIq+N//vzLoKRJB9eXcl5y8r4xdP1dPVHWVjj4ZNXLeLXf97FnlY/lcUOPnvtInbs7+dPr++nwG3mH25ezrs7unhlYysWk56PX7EANPCrP+8CFb7y8RUMBJM89lIDkXiaa9dUs3BWAb98did9/jhnzCvkY5fX8tMnttN08Lg+e+0iXt7YyhubOygtsPJPf7OCFze08Mbmdpw2E7f91RLOWVKCySDdXKfapDQfcrvd+YQAYPny5XR2dlJfX4/JZGL16tUA3HLLLbzwwgv57c4999x8rcFUaWwLoAGKvafOE6lI/ZsYS+egNZ86xzQeFqOW82vtPNZWRWTnO2QT0akOaUJ19IZJKwp7WvxkMrn/P/PWAT60ooLHX2mkstjJYy/tJRxLU1PmZMPObt7e1omiwk0XzWUgmOAnf9xK10DuPO06MMgjT+9Eq9Vw40Vz2NU8wGub2tne2M/lZ1fzysYWmrpCeBxmnnhtHxVFDt6r7yKrqPz+5b3EkxnSGYV1bx3AH06wtzWATqvlnW2d7DwwAEDPYIz/+/NO5lS4eHFDKw0tfnwuC29s6WDd201ksirReJqHntjOnubBqTy9YpI0d4b57fN7iCUyZLIKL7zbwpaGnqkOa9K094b55TP11O8f+hv50aN1tPSEpziy6W930yA/e6qeeDJXdp58fT/rt3fm17f3RrjnkQ109ueucTv29/PTP22n7OBkpbffvIzHXmpgS0MvAP2BBA/8bjNul5msooKq0t0f5/FXG0mmsiTTWbQaDT9/qp5wLI2iqDhsJn7w2030BeIAlBTYuP+3dbR2576/Ax1B/vOxzZQV2oFc7ewL77WwfkcXigqBSJKfPL4No9FAOqMQT2b43V8aGAwlSGUUMgdrZf/zsS0EwklUFYrcFn7w6010HTyu3c1+Hv7TdkoKcsfV1hPmR4/WcebCYiD3APf9nd28uKGFrKISiaf52VM7iCcy+eNSVfjZUzsIRVMoiorTbub+R+vo8+eOa1tjH799YQ9Xnz87f1z/b+0WLlqZG9DEZNDz/LvNvFbXnj+u+39bx/724AR9+2I8Jr1PgaIorF27losvvpiuri7KyoZG9PF6vSiKQiAQGNO+PvnJT3LDDTfwox/9iFQqdew3HIdXN7WxbF7BKTM/QSY8QLxpK5aapVMdypRaPdvGYAy2W88ktPkvUx3OhOoZjAMatjf2s2J+Edv39wNgNetJpbP0H/yRAli9oJj127vyr0sLbXQPxEhllGH7bOoKUeyzMbvMjVajZcfBfaYzCkvmFLJpVw8Ws57BUIISr5WKIgfbGvtHxPb2ti7sVj1VxQ4a2wLD1mWyKtmsSnNXbiZxm9nAuzu6Ruxjx8GbJHFqO1TGDvfO9i66+iJTEM3kGwwm2DvK30h3/6n9UONk2HzwZv5wL73fSiKZAaCrP0IynR22vqU7TMnBpAANbNnbN2y9okL3wQcl5ywtY9Pu7vw6n8tM6weStUxGQVHU/GujXks4lh62TX8ggcOSq/VcNreATbtHJr3dA1F0h3Vv3LG/nzPmFgCQTA0/BkVlxHG1doeHPeSMJjL0BxIALJntG/Vc9QXiOG1GygpsNHWFhq1LZZRcYnSY+v0DFHmGmgQNhhLEE5n8cW3cNfK4DiVHYmpNel3Nd7/7XaxWK7feeisvvfTSce/n9ddfp7S0lEgkwp133smDDz7Iv/zLv4xrH/X19aMur6urAyCZVnjl/S6uOdNNw96G4451MowpPhUsDa+iuivp6B35AzvZ2trapvTzV5fB2n2VVIWf5YCuBPTHnq36UNk43KpVJz43w5HK4slgcJSDqqPYayUYSVHkzv0gaLUaUpksdstQ05uewRhFHgttvbkbrVRGwW4d2TTHYtKTySokUhkUVcHtMBEIJzHotXT2Ryg62GZXq9WQzir0DESYUzGymUdFkZ1QNIXZaMBmMRCND/+R1Ou0WEx60lkFRVEo9lrzT/MO8dh1bNmyBUUZnrgcj9G+39PRRJbH4zF37lyKvSPbHZcUWDEYTo/vzeabdbAfzvC/EZtFP22PfzpcG3U6HQXOkdf2yiIb+/ftBUDJJEesNxtz/ZcADDodXqeZwVBi2Da2g80W23rCzKtys7khlziED7alP5xepx3xWqMB9bD7aZ1Wg+ZgX4eBUIJCj2XEzbLNYiB72H1+ic/GW1vaR/0Mg37kc1+zUTfiJv7QNX4gmPvMnsHYsPVOq5F4MkMinR1xXKN9hstu5PCP0Go1WMz6/GcUeSy0fOC4DNrshJfjk1EeT3WTmhTcd999tLS08PDDD6PVaiktLaWzc6gKb3BwEK1Wi9vtPua+SktLAbDb7fz1X/81//u//zvueJYsWYLJNLyA19XV5QvOn17fR211ilVnTO/+BA17G5hfe+wYo411RNUUzqXnotFO7UhKbW1tVFZWTmkMlUBQCbG288PcGdlP4SWfPOr2h5eNk220sniyJJJp9rT6Wb2wmEdf2M3Hr1zA+7u6ea++i8vPriaVyVJRZKe9N8L67Z3c/tfL+fHvt5BVVP70+j5uuayWNUtLWX/YU/pbr1rIM2/uR6fV8PErFnDDh4z8+rldNHUGyWQULj+7mtc3t3L1mhre2trBJasrmVPuGvbDarMYuHBlBc2dQZ55cz9/deEcHn1hT/4zVi8sZn9HkBsunMO+Vj+pdJa/unAOu5sHSRx8IlZeaGf1ovJ8lfuJmMjvd7KcrB/ViSyPx2vpnAyFntZ8MwWLSc/Va2ZR4LZTMMO/t7H65NUL+Z8ntudfn7W4hLICB7Mrjm+umZngZJTFgt4wL2xoO1hrmis7N354HvMqPdTV1bFkXjmXnx3gxQ0t+fd87IoFPPv2AQAef3Uvn7p6IT/+/Zb8TfwZ8wpw2XMDdTS0+rn5knm8vbWTQCRJKqPgsuc6DrcdrDHo6Atz5sJiNh58+r9pdw/XXzCbp988kP/Mmy+Zx7sHmzVtqO/mSx9ZxoOPbyOTzX3o3AoXHsfQuShwm5lb4eIPL+eSm0AkyaJZXnY15ZpU7mke5OIzK3l149ADuI9dPp8/v9OUf33lOdX4w7lr8o79/fzT3yynsTWQr2GoKLLnHu4crC0uLbBRVezI14S094Y5a1Ex7x98+q/RwKevXsRjLw49qPzIRXPZvCdXA7FhZze3//UZ/OSPW/PHNb/aw7LaUgo90nl+qmlUVVWPvdmJe+CBB9iyZQs/+9nPsFhyT3wUReHyyy/nP/7jP/Idjdva2vIdjQ+ZP3/+sNGHgsEgJpMJs9lMJpPhm9/8Ji6Xi7vuumtMsSSTSerr64+aFIRjKb74H6/wmWsWDVUhTlNjSQpSAx0MvvJrHKuuQG+f+o550yEpAFAUld+81cvsxG6+9KWPHHUkoom4aTxaWTyZ/OE4g4E40USWWCKD1aynsz+K02pAr9ehohKJpclkFSqK7SRTCn2DMfR6LaUFVlQV+vxxookMpT4rei0ksyp9g3GKvRYMeh3heIpgJEWJz0o2o5BVc1XmGm2uWZHDkvusnoEYKirlhXZ6/TEsJgMGnYZwPI3VpCcYSWIx6dFpNaho0OtyNQ5Om5HaKg+tPWFau8MY9VpmlTkp8p6cv89TJSk4kWOYrPJ4vHY3D9DeEyGjKFQUOlh6sNnE6aJnIERbb4yu/liuOUehjXmVU389nwgnuyx2D0Rp6gyRySrUlDqoLHYCQ38zoWiSAx0hAuEEJT4bXqeJA50h+gNxPE4Ts0uddA7E6OqPYrcYKCtyEE+k6eiLYNRrqS51kEqrtPdGAJWKIgd6nYa23gipVJayQjsFThP7OkJE4ilKfTa8TiOdAzEGg0kK3GZKC6z0+RN0D8Rw2Y1Ul9oZDKbo7I9gMempKHKQymRp7wmj1WqpLHagQ6XlsL8Jq0lPa0+YaCJNeaEdl91ER29uRKNir5USX662tc8fw+s0U1ZoZzCYoGsgd1xVJQ4SqWzuGmvQMrvMRUZRaerMtfmvKXWi1Who7gqRTOceKLltRpq6woRjueMqLbDR3BViMJSgwG2hptRBMJKiqz+Ky25iVpmTwVCC9t7ccc0qc+U7fYupNSlJQWNjI9deey01NTWYzblREioqKnjwwQfZvHkzd99997AhSQsKchf622+/ne3bt9PT00NRURG1tbU88sgjbNmyhW9/+9toNBoymQwrVqzgrrvuGvNIRMdKClauXMkPf1tHJqtw3fnTf7jKYyUFKX83g6/8CmvtWZiKayYvsKOYLkkBQCyZ5f9e6+JM4wG+8JUvoLc5R91uJicFE01uqKeHUz0pOORU+K5O1Kl+DiarLM6U8zgT4pwJMYqjm5TmQ/PmzaOhYfQ27ytXrmTdunWjrvvJT34y6vIVK1Yc8T0nSlVV1r7YwP6OAH97w8zujKuqCrF9WwhvfRFr7dnTJiGYbqwmHZ+6qJRHX8vw7/f/nn+5/UYcvtPrCaQQQgghTm8yKOwHvLo9xL6eAJ+5ZtGMnMFYySTJBPpI9hwgvm8r6HQ4VlyO3uGd6tCmNbtZx2cureT59Rm++B+v8JGzPFxxzYXYrNP3aakQQgghxMlyWiYFh1pMjTaMaVtfkgtXVKHTKsQSiRHrT4p0CtQsqIdiUUFRUJUsKFnUbDr3XzqFmkmippOoqSRKKoGaSqBmEijpJGRSqJkM5niMjm3rUNMJVCWD1upG5/JhrF6Ozl1IBg2Z+MjRFaZSNqOQmGYxAVx5ViVt7b28vrWL37z3Z2a7UixcUEV1VSk2FJLJ0WM2Go3HNWzt0criTHOkczOTnCrHcDqUx1PhuzpRM+EczISyOBPOI8yMOKd7jMdbHk8Xk9bReDoJh8Ps3bt31HV/eHuAXa1xRpkB/eRRT3zoRDHxlA9M43HrRQXMLRt95tDjbfd6tLIoxPGS8iimCymLYjqZ7v2lptppmRQoikI0GsVgMEjGKE6K4336IGVRTAQpj2K6kLIophOpKTi60zIpEEIIIYQQQgwZORWdEEIIIYQQ4rQiSYEQQgghhBCnudMyKVBVlWQyibScElNNyqKYTqQ8iulCyqIQk++0TApSqRT19fWjDnW2c+fOKYjoxEjMk2MiYj5aWZxJZuL3+UFyDDOnPJ4K39WJOtXPwWSVxZlyHmdCnDMhRnF0p2VScDSJiZqbYAJJzJNjJsY8WU6FcyPHMHOcLsd5NHIOTo6Zch5nQpwzIUZxdJIUCCGEEEIIcZqTpEAIIYQQQojTnH6qAxDTTyY8SLJrP9l4GIOvDFPxbLQG41SHJYQQpzUlnSDZ3UR6oJNqg5FMxI/e7pnqsMQYyW+rmO4kKRDDZCJ+etf9N4mm7fllhdf/E46lF05hVEIIISI736H/zw/lX2fmrabgmi+ht7mmMCoxFvLbKmYCaT4khkn1tgy7aAEMvPRLMsH+KYpICCFEOtDLwMv/N2xZrHET6b7WqQlIjMsRf1tD8tsqpg9JCsQwSiI6clk8gpJJTkE0Yqq09YTZtrdvqsMQQhykppOoydiI5dlRrtli+jnib2taflvF9CFJgRjGUFABuuGtyizzzkTvKJiiiMRkSyQz3PXQO/zbI+/R0DI41eEIIQCdswBzzdJhyzR6IwZf+RRFJMbD4CsHrfy2iulNkgIxjLGwitJbvoWhsAp0euxLLsR3yafQGk1THZqYJO9s76Ss0MalZ1bx/LstUx2OEALQmSwUXPEFbIvOB50eQ1ENJbd8C1Nh5VSHJsbAWFRN6cfkt1VMb1Pe0djv9/O1r32N1tZWjEYj1dXV3HPPPQSDQb797W/T19eHXq9n6dKl3H333ZjNZgBeffVVfvCDH5DNZlm8eDH33nsvFotlio9m5tNoNFhqllL2ye+ipOLobG60esNUhyUm0bs7ulhU46Oy2M6vntuNqqpoNJqpDkuI056xoJzC6/4B78W30tbdh6V60VSHJMbog7+tepsHjX7Kb8GEGGbKawo0Gg233XYbf/nLX1i3bh2VlZXcf//9GAwGvvGNb/DCCy/wzDPPEI/HeeSRRwCIRqP867/+Kw8//DAvvfQSNpstv06cHDqLHYOrUBKC04yqquw8MMCcChcFbgvpTJbBkMxSKcR0odUbMbgK8UfiUx2KOA6HflslIRDT0ZQnBW63m7PPPjv/evny5XR2dlJRUcGiRbmnIFqtlmXLltHZ2QnAm2++yZIlS6ipqQHglltu4fnnn5/02IU41XT2RzEatLjsJjQaDeWFdva1BaY6LCGEEEJMsClPCg6nKApr167l4osvHrY8kUjwxBNP5Jd3dXVRVlaWX19WVkZXV9ekxirEqWhfW4DyQkf+dZHXSnN3aAojEkIIIcRk0Kiqqk51EIf827/9Gz09PfzkJz9Bq83lK5lMhn/8x3+krKyMf/3XfwXgl7/8JW1tbdx9990ADAwMcNlll7F58+YxfU4ymaS+vn5iDkKcdlatWnXc751uZfHFLQHiSYVls6wANHYmCMWy3Hyeb4ojE2N1KpVHMbNJWRTTyYmUx9PFtGnUdt9999HS0sLDDz+cTwiy2Sxf/epXcblcfOtb38pvW1payoYNG/KvOzs7KS0tHfdnLlmyBJNpeM//urq6GVdwJObJMZExj1YWp8LTm9azuNbH/Fm5JMDsDPHS+63HPO6Z+H1+0KlyDCfDdCmPR3IqfFcn6nQ5BxNdFmfKeZwJcc6EGMXRTYvmQw888AD19fU8+OCDGI1GINeU6Otf/zo6nY7vf//7w0Y/ueCCC9ixYwfNzc0APPbYY1x11VVTEboQp5SOvgiF7qFRvHxOMz2DIydMEkIIIcSpZcprChobG/npT39KTU0Nt9xyCwAVFRX89V//Nc888wy1tbXcdNNNAKxcuZK7774bu93OPffcw9/93d+hKAoLFy7km9/85lQehhAzXiqdZTCUxOsaSgpsFgOZjEI0nsZmkZGohBBCiFPVlCcF8+bNo6GhYdR1R1oOcOmll3LppZdOVFhCnHa6B6L4XGZ02qFaOY1Gg9eVqy2YXe6awuiEEEIIMZGmRfMhIcTU6+rPJQUf5Lab6PNLEyIhhBDiVCZJgRACgK6BKG7HyA59LruR/oBMlCSEEEKcyiQpEEIAuZoCj2NkTYHTaqRXkgIhhBDilCZJgRACgO6BGJ5RawpM9ErzISGEEOKUJkmBEAKAXn9s1OZDDpsRfzA5BREJIYQQYrJIUiCEAKA/EB+9+ZDNyGAoMQURCSGEEGKyTPmQpOL4KekkmfAgxU7LsTcW4iii8TSqCmajbsQ6p82IPyxJgZh6qqqSCfVT5jShZjNodPITJsRMkE3GyEYCaM1W9Db3VIcjjkCuqDNUarAL/2uPEt3zHlqrg8jln8daexZag3GqQxMzUF8gjsdpGjZz+CEmgw5FVYkl0ljNMoGZmBrZeITw9tfwv/kYaibDwKorcJ1zPQZnwVSHJoQ4imRvCwMvPkKiZSd6VxEFV/8dllnL0Gikscp0I9/IDKRmMgTeeYLonncBFSUWovep/0eyp2mqQzumbCpBsreFMocBVclOdTjioP5AHKdtZH8CyE1g5rQZCUSkX4GYOon2PUR2vI7rzGtwr7mRdF8b0V3vTnVYQoxL2t9DsqeJbDw81aFMimw8Qt+zD5Fo2QlAJthL9x/uJd3fPsWRidFITcEMlIn6ie56Z8Ty9EAHlor5UxDR2KQHu+h/6X+J76sDrR7/mhtxnXk1OqtzqkM77Q0EEzhtR65lclqN+ENJygrskxiVEEMywT5MJXMIvPsUKFksc1agZlNkk3H+f/bOO0yO6srbb3XO3dOTc57RSKOcMyJIAgTC5IwB47DrhCO2+YwDNgbb6/XaxsYBWLAXTA4SIIJAgJBAjHIcTZAm5+7pHKu+P1pqqZlR7JZmJNX7PHoe9a2qW7drqqvuueec31Fq5RBKmdGNGAnj3fURfW/8DSnkR51ZRNbyr6PNLh3poZ1SIq5+Qp0NiY3RCOGBTjSZRSMzKJkjInsKzkAUah0qW/aQdqXePAKjOT4kScK1+Z2YQQAgRnB++CyB9vqRHZgMAP2DfkyGI4cGmQxyXoHMyCIolLi3vAMHPIz+xk1E/R4UKjmkTWb0E+rZT+8r/4MUitV8Cfe20PvaI0QD3hEe2alFodWj0BqGto/i+cq5jGwUnIEoDWbSF98BikOOHl3ROLQ5ZSM4qqMj+j14d300pD3QtnsERiPzWfqcfiyGI3sKjHo1DpccPiQzcgwXHulv2oQYCY/AaGRkToyIo2tIW6hjL1GP8/QP5jSitmWRvuQLCW2mCYtkL8EoRQ4fOkPRl9SSf8eDhPva8EchrXQsKrN9pId1RBQaPdr8SiLO7oR2TUbhCI1I5nD6XQHGlhz5/jHoVDhlT4HMCKLNLuOzUdi6/GpZXEHmjEA5jOKO0pKBQmc8/YM5zRhr5qBOzyM80IXSZEObVYJSL4eijkZkT8EZiiAo0GaXYBo3j5awflQbBACCSoVt1nIUh+UPaAtr0BXWjOCoZA7icAUwH8VTYNKrGZA9BTIjiL50PNrc8vhnpcmGZdrFCIqhMroyMqMNTXYx5ilLDzUoVWRe8hVUJtuIjel0oVCp0eVVYq6dj6FkPEqDHDo0WpE9BTKnDW1OGfmff4BQfztefwh7ac058UA8E3C4g5iPkmhs0mto7z27Y19lRjfqtByyr/0B4d5W3K5B0oqrUduyRnpYMjLHhVJvxr7oRsy184n63ajTclBn5I/0sGRkEpCNAplhCbv6kYI+lGY7yhS6N9VpOajTcthdV0eWbBCMCkRRwu0NYdIfJdFYr5bDh2RGHKXRihQOEg0LKE1pIz0cGZkTQqkzoiwcM9LDOCZiJERksBdBoURlyx62fo3M2YlsFMgkIEUjePduoO/1vyL6XGgLxpB58RfRZBWP9NBkThEubwidVoVKeeRoQpNBzaAndBpHJSOTSNTnwrXxTZxrn0eKRuifuAjbvGtQWzNHemgyMmcNYUc3A2uewrvjQwS1hrSFN2CeeH5KFwdlRi9yToFMAqGe/fS88F+IPhcAwbbd9K36B9Ggb4RHJnOqcHqCmI8iRwpg1KlxeWWjQGbkCLTuwrHmKaRICCQR9+Z38O74cKSHJSNz1hCTDn8b744PAAkpHGTg7ccJytLh5wyyUSCTQHigEyQxoS3QsoOoe2CERiRzqnG6j55kDKDVKImKIoFQ5DSNSkYmEV/z1iFt7u3vEw36R2A0MjJnH6LffcAgSCTQtiel55GiEQLt9bg2vY1n50eEHd3HPkjmtCCHD8kkMJw8mtJsH7b4iMzZgdMdxHiUfAIAQRAwGTS4PCF0dvmxIXP6UdvzhrRps0tkSVIZmRQhaHSos0qIDPYmtKvTclJ6Hn/zVrqeeSC+AKnOKCDn2h+iThtalFXm9DLingKHw8Fdd93FkiVLuOyyy/jqV7/KwEBsVXrz5s1cfvnlLFmyhDvuuIP+/v74cUfbJnPyCCo1hspphzUosM64DETxyAfJnNE4PSEMumNP9M0GNU6PLEsqMzKoLBkJhoFCb0JfOhEkaQRHJSNz9qBQaUibdxXCYYuAmpxydEWpkw6P+tz0v/O/CREJ4b42gp2NKTuHzMkz4kaBIAh84QtfYNWqVbz66qsUFhbym9/8BlEU+e53v8uPf/xjVq1axbRp0/jNb34DcNRtMskR9blAUJC24Hpsc68ibcG1uOreQIzIk8GzFac7gFF3dE8ByHkFMiNLoGUn+rKJpM2/Ftv8a7BMWYJr4yqkqBzSJiOTKnR5leTf/iuyrvouOdf/iJxr70FtS90KvhQJDRuOLMp5i6OClBgFAwMDeL0xDfNoNMrzzz/Piy++iHgcq8s2m42ZM2fGP0+aNImOjg62b9+OVqtl2rTYqvX111/PG2+8AXDUbTLJoUkvwN+4Ccf7T+Nc+zyONU+jyS5BZckY6aHJnCKcnuBR5UgPYtCpcbpl41BmZDBUTMb16es4PngG5wfP4lz7POYJi1BodCM9NBmZswpNej6mMbMwlE9JeWFUpTkN8+SLPtMqoMkqSul5ZE6OlBgFX/rSl9i/fz8Av/vd73j00Ud5/PHH+dWvfnVC/YiiyFNPPcX5559PZ2cneXmHXMV2ux1RFHE6nUfdJpMc6sxCcm64F01OGYJah3nSBdjPvwWFWjvSQ5M5RRxPTgGAQafC5ZWNApmRQZdfTebyb6C0ZKDQm7GffzOGqhkjPSwZGZkTQBAUWKYuxTprOYLWgDq9gJzrfoA2p2ykhyZDihKN9+3bR01NLObslVde4emnn8ZgMLBs2TJ++MMfHnc/P//5zzEYDNx888289dZbqRjaUdm+ffuw7XV1daf83KkmlWMWBAHb3NvRKqE3JNLS3AHNHSnr/yBny3WeOnVq0v0e6V48HXT2OMgyBtkT7jvqfj6Pj90NLuosrmG3H8/f881NTvZ2BLhlUSYWg/KkxnsqORPvyVPBSN6PR0OptJC25BsogZZAhPCeczsOebTfr2fKs3G0X8eDnAnjPN4xarOnYFs+jbAEu10BpM1bTvHIUnM/nu2kxChQKBSEw2Gam5sxm83k5eUhimI8pOh4ePDBB9m/fz9/+ctfUCgU5Obm0tFxaCI6MDCAQqHAZrMddduJUFtbi1abuAJeV1d3xt04p3LMp6oIu3ydExnuXjxdRF5/k5qqcjJs+qPu5452M+AKDHsNjufaNLQ52dm6nvICO/W9Or505YSkxp1qzsR78rOkatIwkvfj8XA2/K2S5Vy5Bqf6XjxTruOZMM6THWPpKRiLzMmRkvChBQsW8I1vfIOf/OQnXHLJJQA0NDSQnX18ySn/9V//xfbt2/nTn/6ERhOTl6utrSUQCPDpp58C8PTTT7N06dJjbpORkTkx3L7wcYUPGXUqBpNQH3pj3T5mjMtm4eQC1m7tQJJVY2RkZGRkZEYNKfEU/OIXv+DFF19EpVKxfPlyICY1+rWvfe2Yx+7du5dHHnmEkpISrr/+egAKCgr405/+xEMPPcR9991HMBgkPz+fX//610DMM3GkbTIyMsdPJCoSCkfRao4dymPUaxg8SfUhUZRYv62TLyyvxW7RIQgCbT0eCrPNJ9WfjIyMjIyMTGpJiVGg0Wi47rrrEEWRvr4+srKyEhSFjkZlZSV79gxfLW/KlCm8+uqrJ7xNRkbm+HB7Qxj1ahSCcMx9jXrVSUuSNrUPotOqSLfGQpQKs000tDllo0BGRkZGRmaUkJLwIZfLxbe//W0mTJjA4sWLAXjnnXf43e9+l4ruZWRkThGuA0bB8WDUq3GfpFGweW8PZfnW+OfcdCMNrc6T6ktGRkZGRkYm9aTEKLjvvvswmUysXr0atTo2wZg8eTKvv/56KrqXkZE5Rbi8IQza43MYatVKoqJEMBw94fNsa+inJNcS/5yVZqCly33C/cjIyMjIyMicGlISPrRu3To++OAD1Go1woEwBLvdTn9/fyq6l5GROUW4fCEMuuN7DAiCgMmgZtATJCvNcNznEEWJ3fsHWDKrON6WZTfQ2iMbBTIyMjIyMqOFlHgKzGYzDocjoa2jo4PMzMxUdC8jI3OKcHtD6LXHFz4EYD5gFJwIbT1uDFoVZoMm3mYzaRn0hAidhNdBRkZGRkZGJvWkxCi45ppr+PrXv8769esRRZFNmzbx/e9/P64mJCMjMzpx+0LotcdfRMyoUzPoObG8gj37HRTmJCYUKxQCdouW7gHfCfUlIyMjIyMjc2pISfjQXXfdhVar5Wc/+xmRSIQf/vCHXHfdddx2222p6F5GRuYUMegJoT/OnAIAg/7EPQW79w+Qn2ka0m636Ojq98oKRDIyMjIyMqOAlBgFfX193HbbbUOMgN7eXjmESEZmFOPyBkkz6457/5in4MSMgvoWJxfPLhnSbjVp6XH4T6gvGRkZGRkZmVNDSsKHlixZMmz7pZdemoruZWRkThFuX/i4E40hVtXY4T5+oyAUjtLR5yEn3Thkm8Woocchhw/JyMjIyMiMBlLiKZAkaUibx+OJKxHJnFlEg37Cfa1E/R7Uadmo7Xkp/VsGQhH0hqHhJDKnn1hOwQkYBXo1/YOB496/uWOQrDQDatXQ9QebSUtnv/e4+5KROdeRJIlwfzvBgS6KTUrEUACF5vg9fTKnlojbQaivFQFQZxSgMttHekjDIkkSgVAErVqFQiHP02QOkZRRsHDhQgRBIBgMct555yVsczqdsqfgDCQa8OL88DkGP34FAEGlIfvaH2AonZB0325fiE93dfPK+42YDGquUdkZV5aOUpkSh5XMSeDxhTHojl99yKRX09g2eNz7N7Q6ycsY3gC0mrRsbew77r5kZM513Hs30f/ir5EisWR/afaV2OdeiVKrH+GRyYT6O+h+/jeEe/cDoM4oJPuq76LJyB/hkSXS0evhnQ0trN/RxcSKDJbOLqEox3LsA2XOCZIyCn79618jSRJf/OIXeeihh+LtgiCQnp5OWVlZ0gOUOb2EevbHDQIAKRKib+VfyLv9l6iMtqT6/mRHF//99Kb45617+/jVV+dTUzI6V1POBTz+E/cUOE8gp2BPi4PcjOFrGliMGhyu4/c6yMicywQG+3C8/nDcIABwr3sBTckkrGXjRnBkMgDePR/HDQKAcF8r3t3r0My7egRHlYjHH+IPz2xme1OshlRLl5u63d388j/mkW6VDUuZJI2CGTNmALB+/Xr0evmGOhuIugeGtEUGuxH9HkjCKPD6w7zwXkNCmyjB1oZe2SgYISRJwusPn5BRYDJoTsgoaGhzctm84RcHLEYNDncQSZLkUEMZmWMQcA0S9TiGtAcH5SKho4FAy44hbf5920gbRUZBZ583bhAcpKPPR3uPRzYKZIAU5RT89a9/PeK2b3zjG6k4hcxpQpWWPaRNk1OO0mRLql+lQsAwzORTp07JLShzEgRDURSCMGy8/5Ew6dW4vSFEUTpmLGogFKGr3zdskjGARq1EpVTg8YcTCpvJyMgMRdRZUdrziQ60H9YqgDljxMYkcwhj1Qz8jZsS28bMGqHRDI9SMfyzXnUC7wCZs5uU3AldXV0J/7Zt28ajjz5KS0tLKrqXOY1oMovJuOQrCKrYJE1lyyHzki+h1CWXGKzTqrj2wqqENr1WxYRK+YU2UrhPMJ8AQKVUoNUo8fjDx9x3X6eLbLsB1VFyRqwmDQMnkLgsI3OuYk1PR7nwLhSWmMy3oNahWHAnqvTCER6ZDICudDL6sfPjn/U1c9GVTx3BEQ0lP9PI4plFCW2TqjIpyJJrxcjESMky7QMPPDCk7f3332flypWp6F7mNKJQa6BqPoa0MqJ+H2prBqqsrNT0rRC4fdlYWro96LVKMqx6GCpcJXOa8PhD6E9AjvQgZoMGhzuAxXj01f3GtkFyM4b3Eny2r+JcOdFNRuZoSJLEdpeZ7AXfQR1wImgNNLm1zOL4K5LLnDrqBwSe75rMgpkzAfigIcTnBhSMTzv+PsIRkf1dLrr6vNjMWkpyrQx6grT1uhGV6bi8QSxG7UmPUatRcdPSMUyszGRHUz9VRWmML8845rNc5tzhlMVuzJs3j7vvvvtUdS9zinB7g/z9le28+2kbAApFEz/6/AxmjMtJql9/MMyTr++isW2QTJueYDiKyxtCQqI035qKocucIB5/eNiQrmNhNqhxuoIUH+OW2NvqIPcIoUMHMRnUJ1T3QEbmXKV7wMcjL2xFlCDTpsfl7cYfjJBhM5CZNnwyv8zp450NrXza4OTTw1LnDKZ9jC8/fm/4+m0d/PpfdUhSbBHt2zdO4Y/PbsEfjAAwe3wPX75yAnbLycvQ2i16FkwuYMHkgpPuQ+bsJSVGQWtra8Jnv9/PihUryM3NTUX3MqeR5g5X3CAAEEWJPz23hYoCK/YkEpEiEZFoNOYW6HUeqmIbDIknP1iZpPD4wuhOwigwGTQMuI8d8tPYNjhsJePDMerUsgKRjMxx4PGHEKXYM7l74FDRv0AoMoKjkjlIODr0XRYZpu1IdA/4+NPzWzlY9ml6TTYvrWmMGwQA67Z1cuH0oqQX6WRkjkRKjIKLLroIQRDiRcz0ej01NTX86le/SkX3MqeR4ZRlBlwBfIEI9mQW9AWBhZPz2dfpijeplAKF2XIRs5HC4wuh05546IFJf+yJfDgSpaPXQ0760VcwTXo1/bJRICNzTBSCwLyJeby/6VCicZpZi0l/YnlBMqeGi2YUsWZjW0Lb0mMsihyOLxDGe1iuVk66gc17e4fsNyA/L2VOISkxCnbv3p2KbmRGAXmZJhRCTC70ILVl6dityVXNNOnV6LQqbrm4hs31vRh0KmrL0zEbUvNCC4YjtHZ7cLgCZKYZKMwyyUXRjoHHH0anOQlPwXFUNd7X6SLDpketOrrRYTJoElY9ZWRkhifNpKUkx8yMm6bS6/RhNWmRROmEJIVlTh1jS+z8/EuzefXDZpAkls0rY2xp+nEfn2HVU5xrYf+BhbM9LQ4mlGewYVd3wn75mYkLaU53kJZuN9GoSEGWmcw0WVpU5uRJ+dNEFBPdZYojSGDJjE5Kci1879bp/Pn5LQx6QtSU2PnSleNPWKXmswiCwNTqLB5dsQNRkhhw+fH6w5Tn25IeczAc4bW1+3hsxQ4kKSZ/+p2bpjJv0uiqJDna8PhC6DQn7imwGDW093qPuk9j2yB5mcf2Apn0avYcRyiSjMy5TkaagfwsM7/5Vx3hSOw9u3xBOTNr5VCS0YBarWRSVRYTKmLqUMeSbP4sZqOGb90whT88s4mGtkF6BvzcclMN3kCYnc0DaNVKbrmkhvKCQy777gEv//XURnY2xeoLZdp0/PgLsyjJlfP0ZE6OlBgFO3bs4Gc/+xl79uwhGIyFnxwsSLRr165UnELmNKFSKpg7IY/qojR8wQjpFh3GFLmnczNNfOvGqXQPeHE5nYyrKkzJan5btyduEABERYn/eWYz5QW2Y6rfnMu4T7Bw2UEsRi1bG/qOuk99i+OYoUMQSzQe9ISOuZ+MzLlO/6CfR17cFjcIAF5+v5E5E3KxmpLz5MqkjhM1Bg6nLN/Kz780hwFXAKNeTbpVT/mdNnocPtyDDmqrixP637q3L24QAPQ6A7z+0T6++LkJKJMYh8y5S0qMgnvuuYdFixbxy1/+Ep3uxB5ODz74IKtWraK9vZ1XX32VqqqYlv27777L73//eyRJQpIkvvrVr7J48WIAmpubueeee3A6ndhsNh588EFKSkpS8VVkDpBhOzUuSL1WRUmulbqOBpTK4pT0GauKm9jmD0Zw+ULkIhsFR8LtC5FrP/HrYzVpjhk+1NDmZMnMY/99TXr1CVVIlpE5V/H4wsPGk8vqXWcXJoMG02HFHI16NaV6K3WdDSgUJQn7NrQNDjl+e1M/oXAEvVbONZE5cVJiFLS3t3P33XcjCCdumV5wwQXceuut3HTTTfE2SZL43ve+x7/+9S+qqqrYvXs3N9xwAxdeeCEKhYL77ruPG2+8keXLl/Pyyy/z4x//mCeeeCIVX+WU4PGHCIVF0szak7pGI0F/ZydiKIDGYseaNrpdkVkHCmQdrvSQZtaSkWQexNmOxxdGn3syngLNAUNMGvZ+DkeitPd4jljJ+HCMOjVef/i4KiTLyJzLpFm0FOWYaelyx9sEAbLtshzpmcTAoB9/MIrdokWfZFju+Ip0XvuoOaFt7oS8EzYIvB4PIUcfCq0ea1Z2UmOSObNJmfrQhx9+yPz584+982eYNm3asO0KhQK3O/bwc7vdZGVloVAo6O/vZ+fOnTz22GMALFu2jJ///OcMDAxgt9tP/kucAqJRkS17e3n8tV0MDPpZOquEJbOKR7WmdDAYZHBPHf53HyXqcaAqGEd00W3Yi8pHemhHJD/TxHdunsofntmM1x/GbtHxnZumkp6EhOq5gPckw4fUKiVajZJBTwibeWghnf2dbjJsejTqY+crKJUKdBolbl8Iq+nki/LIyJztWIxavnzFOH7/zFa6B3zotSruvGwsuXb5OXcmEImKfLqrmz8/v5UBV4AJFRnctbwWpydIn9NPVpqB8gIrRv3xFxKrKkrj4tnFrFq/H1GCyVWZzJ2Qd0LjcrY143r3CSItW1EabYTOux1rzQw0Wrmg2blISoyCYDDIV7/6VaZOnUpGRmKhjoceeuiE+xMEgf/+7//mP/7jPzAYDHi9Xv76178C0NnZSXZ2NkplbMKhVCrJysqis7Nz1BkFDW2D/PTv6+NKPv9+ux5JgpuWjhm1q6KutmY8K34HUmzVPdK2A8+7/4vqim9jsY5Oj0EgFGH3vgEumlGERq3E4w+zr3OQsaV2WYHoKHj9J1enAGKemF6nb1ijYG+r47iSjA9iMmgY9ARlo0BG5igM9Dt5ZU0DEyszsZm1RKMiL7zXQHmWhopyWVRhtLO/08UDj38Snw9EoiKvfNDEW5+0xPe5cUk1V59feUzVtoN09HpoaBvk2gurQBBoaHWyp8Vx3BXi/V4vrvf+SaRlKwBRrxP3yv9Gabkfe9mYE/uCMmcFKTEKKioqqKioSEVXAEQiER555BEefvhhpk6dSl1dHd/85jdZuXJlys4BsH379mHb6+rqUtJ/u8ecIO0JsPKjZqaU6wh4BoY/6CRJ1ZjzRBdUzKEvYyqeiJIsjR/j9hcIDPSyt6Hh2B0cA53BTFDUojJksG37DkLB5JVnopp0XlrTmNCmUiooylAR8R09IfZEGe46T506Nel+j3QvnkoG3X462vfh7DtxBSIlIdbX7cDVc2iV8uC1WbtxAJ1GYE/9nuPqS5DCbNi4nd7skTcKUvU7OtMZifvxRDnX/lYWWw4tvX7OL84gFBHRaVXkZ5rp7PMx6Byd1+JMeTaejnupP2hJmA9MrsriX6sS5dw/2NzOmCIrfQ4vJoMKkypIKOAZdpwajYb19RH2tjrZ2+qMtw+4AhRaQ/i8Lo5Fgd1CZP/mz7RKBPvbqXMcXWHucNRqNYLGAtp0duxuJOgbjNetGk2k4n4820mJUfDVr341Fd3E2bVrFz09PfE/4NSpU9Hr9TQ2NpKfn093dzfRaBSlUkk0GqWnp+ekqifX1tai1SZOROrq6lJ24/g2tw9pSzNrKSrMx2woTck5ILVjbt9bzwseJWs+dgAxJYXvLb+LcQYzU0uTM/w6+jz87aVtfLqrB5VS4KpFlVy+oBaLMbnJYN3uniFtkaiI3mihqiY1ycyQ2uv8WYa7F081wX93MG5M9XGF+XyWvb1NmNPsTJ0auycOvzb/eOcdLptSRkGW+bj62rR/D1l5xUwdYQnZU/n3PV2kanIzEvfjiXA2/K1OlP2tPSyeWcwTr+2MTy7nTMjFYtEzsaZyZAd3CjnV9+Lpupe21CcWIvtstWObWct5Uwq57++fxIUzls0r5eal4zHqNcOOs6F/6EJdpk1HZUUZquPwNnj6+wiY04m6+xPa1UYLU8ce3zUJh6N8uKWDPz+9FX8wQlG2iW/fNI2y/NEZWSBzdE46tmLDhg3x/69bt+6I/06GnJwcurq6aGpqAqCxsZH+/n6KiopIT0+npqaGFStWALBixQpqampGXegQQGWhjbzMQ8mWggC3LxuH2TB6Y/W6wybW7HDEP4uixF/f6UHUHZ878kiIosSb6/fz6a7YBD4Slfj32/Xs2pe8xyQvw4BRl2jfFmWb5AS8oxAKRwEJterkHgFpZh2dfUNXkvzBCN0DvuNKMj6IQafCJSsQycgcFaVGxwvvNSSsNn+0tZOwdOJGvczppyTPwvxJh+L9Q+EotsNCJhdOLuCF9xoSlPRWfNjM/sMSyz/LlOosLMZD8wmVUsGV51Uel0EAYErPwHTBnSAceg+oyqajyyk7ruMhVqjyv57aiD8YAaCl28OfntuMxy9LTZ+JnLSn4Kc//Wl8Yv6jH/1o2H0EQeCdd945aj/3338/b775Jn19fdx+++3YbDZWrlzJT37yE77xjW/E1U1++ctfYrPZAPjJT37CPffcw8MPP4zFYuHBBx882a9xSslJN/KTL8xmb6sDty9EWb6NioLRbT17guKQtgFXAF8ggj2JoXsDYdZu7RjSvnufg5njTtzLczi5GSZ+ctds/vrSVhraBplclcnty8bJMepH4WCS8cmqYdktOrY1Dg3Namh1kpdhQnUCuRx6nYpBr/wCkZE5Gi5fGNcwvxOHW/7tnAlYTVq+9LkJLJ5ZgssbJD/LxNxJ+fzj5W3s3u8gK02P1x8ectzR6rgU51r41X/Opb7FSSgSpbIwjfITXKG3VU9FceMvCA90oNCZ0OeWYUw7/kXWzv6hFenrW5w4XEFMJ5A0LTM6OGmj4KBBALB69eqTHsC9997LvffeO6T98ssv5/LLLx/2mPLycp599tmTPufpJDfDiNWkIRQWh03KHG3kZZpQCKBRKzEbNfQ5/YwrTceepLynXqOkujiNrs88QIqyjy/E5FiMKbHz8y/NxesPYzFqTjqB9lzBc5LKQwexW3R0DeMp2LVvgIKs408yBjDpNLLWuozMMbBbdZTlW9nXMUi6TY/LGyIcEWWP6Agz6AmiUiqOq8in1aRlUlVmQtt9X5iN1x9GpRR485MW9nceygVQKoRjFuAszLZQmH3ynnylSkVaSRWUVJ3U8XbL0HlNpk2fsqKnMqcXeeZ0ComKElv39vLPN3bRPxhg6awSLpxRSIZt9D7ES3It/OSu2Wxt6KN/MEBZvoVJlRkYktRTVqmUXHleBZvre+MrH+PK0hlXlp6KYQOxIi/yg+j48PrD6HUn//NPt+roGwwQjogJIUg7mvoZU5x2Qn0Z9aqjushlZGQgx27kruXj2Ns6SHPHIJk2PdXFdkrzkgvtlDk5HK4Aaza18cr7TZiMGm5dOoaJVZlHVQ7q6PWwpaGX9h4PEyszGVNix2zQxN9b37phCn94ZhMNbYPYLTq+es1EClOwcBb1exCDPpQGCwpNauv3lORaWTavlBUfxuolqFUKvnrNJOwWuU7QmUhKjILdu3fzy1/+kt27d+PzxVaCDxY2OhNULE4V9fsH+Mnf11Oaa6Eo28zz7+4lFIlyy8U1o7aImcMd4G8vbaO1J6Z48G4d3HHZOIpzrUmPudAc4ac31dDmiKBWCRTZVWQYU3cdxFAAMeBFYTCjUMluy6Ph8YfRaU7+569SKrBbtHT0eSjOiU1KoqLE7v0DLJl1YsndRp0ap+wpkJE5Kr5gmC31PTz99qHk0pJcC3ffMBlzkmINMifO+5vb+ccrOwDodfr52aMf86v/nMfY0uEXunodPu5/9OP4u/Xl95u447JxXLGwnHBERKNWUpZv5edfmsOAK4BRrz5irZ2IxwEKJSrDsQ1Cf8tO+lb9nXBPC/ryyaSffwuarKKT/NZDUakExpbYsZm0hA+oYllM8uLcmUpKjIJvfetbLF68mHvvvRedTrYOD9LS4+b2ZWPZ0dSPwxXk8gXl9Dp89Dp8ZNmPPxHzSLi8IboHfKgM6URFCWUKah/s63DFH1oH+b9Vu5kzIZfsJMe8r83BL55tpN8VmwBOLrfw5Ysl8kpLkuoXINjRQP97/yLY0YChfDJp865Bk1mYdL9nKydbuOxwctKN7OtwxY2C5o5BzAbNCSfSG/XqYWOlZWRkDtHZ7eL595oS2vZ1uujuc1OWbxuZQZ2juL0hVn7YxOzxuRTnmJEk2LCrmx1N/Uc0ChrbB4d9t6ZbYwnkM8flsHByAXmZJkxHeIZGvIN4dnzI4LoXEJRq0s67EUPldJTa4Y2HUH87XU//AiQRlTUTf/MWel51Yr/gNgL7t6PJLEJXUI3KcvIe+/2dLh76Z6Lq2XsbLTzwlbmYjfLi3JlGSoyCvr6+hKRgmRg2k46/vfgpep0Kk17Nc+/Uc82FVaRCvXd/p4uHn9uMXqfG7Q0xtyvM0tklSYf5hCNDE41DEZFoNLlRB70eXtnQEzcIADY1utjd7iUvSXXWsLObzqfvR/THQlC8O9cSHugk94YfozSkJmfhbMMbCKM9CSnSw8lJN9DQ5mThlAIANu/pOSkZuphRIHsKZGSOhiSJQ2QsIabkJnN6UakUXL6gjPc2trNuWycKhcCF0wvJP0r8vy8wNIk4FBHZ3+mmsW2QxrZBtjb08aPPzxjWKFAoFPgbNzLw1qPxtt6Xf0/O9T/CUD4lYd+oKBGNioSdPYQnXEEDRex3RKmpUVDgqCOwfxvOD58DwFA9k8xL/wOl/sRywQ7SPeAf0ra/04XTE5SNgjOQlBgFV1xxBa+++uoRE4PPVRyuANdeWEX/oJ9BT4hFUwvZ2+pAQXLGUzAUZf2OTsaVZ7C5vhe7RYdCIbCvw8XYJGP0i3LMGHUqvIFIvO2i6UVkpQ2/EnG8BCISu9uHqhS09Ce/Qhzu74gbBAcJdTURdnbLRsER8PrD6DTJGQUFWWbWbjmkKPXxji5mjMs54X4MWhVefwRRlEZtpW8ZmZFGrRCZNzGPDzYf+s2ZDWosRjlU43SjUSvZ3+Vhz/6YfLcoSuxo7Gd2bS5/fn4rIDF7fC5Wk4b3NrbTPxhgweR8DDoVvsPerXMn5LFxz6E6O9sb+9nR3M+2hj6KcyyMr8iIyzubDDpcH60aMhbvnk8SjIL6FgcrPmyircfDhdPy6YuM4dl3Yx6m14DlM6fwOd0h2XHfno8Jz7ocZcHJVTDOsA2NDsnNMIxq6XWZI5MSo+CLX/wi1113HY888gjp6YmT0ieeeCIVpzgjSTNreeK1nbh9sRWCtVs7uHnpGKQkfQUefwiXJ8QrHxxyJW/e28t3b06+AIuAxBeW1/LRtk46+7xMrMxkcnUmCsVJl7QAwKBRMHNMBu9v7WZqTTaBYIQNO7upyk9+0q7QDGOwKJQo1HKc7ZHw+JLLKYCYctS/ulz4AmFcvigt3W5uXHLiLxalUoFOq8TtC8kysjIyR0ChUjG1OguzUcvWvb0UZJmYXJWFRi3rhZwueh0+ugd8aDVKuvsT1dduvriGnz/2CeKBQhJvrNvHd2+exgvvxnJAyvIs3LC4mq0NfXT2eZk9PhdfIMIHnyly2tg2yMvvx97tlYU27r1jJnaLjkhUQmXLItixN2F/lTUj/v99nS5++Oe1BENRAPa2Olk2r5SsND09jtiK/qsbepmXa+LwKXtUknC4Aug0SvQnGG1Qkmvh+ouqefqtWAV7vVbF166dfEaoLcoMJSVPk69//esUFBRw0UUXjeoqmKebAVcArUbJBdOL0KqV1Lc4WLV+P/MOK2ByMvgCYd75tDWhLRiKMuAKJNUvQHOHm0de2sadl9aQYStk/Y4e/vjsFu7/kpHi3JNXuVDrjSyamIlaq+W9ja0YtGruWj6OipzkVxPUmYUYx83Hu+ODeFvavGtQ25Orf3A24/aFMCShPgSx1bKyPCvrtnVSt9fD+PKME6pPcDimA3kFslEgIzM87gD8+YVtXL+4ijsvH4fPH+HRFdu57ZJx1Bx/rSmZk2TP/gHuf/QTnJ4gCgGuWFhBOCKyvamfCZXpfLyjM24QAIgSfLilnWk1WXy6q4f3N7UzozYHry9MUbYZSRLp6feyeGYRNpOOfpcfjy8c9z5AbFLf3uPBqgqhUoB1+qUEe1oJlc1DiIbRtKzHUDE9vv++jsG4QXCQdza0snhmUdzQEEWJSDgcNwqic+7g35sivFv3HvlZRm65uIaxpenHHQ5u0Km56vwKZtbm0Nk9QEVRFrmZJxeKJDPypMQo2LVrFx9//DEajewuOhy9VsX504p49YMm/MEIEyoyuGROCSQZPiQgDFuJVpGCnA5BkLj7mloee62eboefmTUZfPVzNQcq4CbH7o4gz60+uMoR4I/PbeWB/5hDVpL9KnVGrItuQV05m6irF5U9D2NBJYJSXkE7Eh5/OCWScbPH5/L3l7cTiUT46rUnp3MNMaNg0BNMifyezNlLxDtIuK+NQnWAyGBfwirp2Y/E926ZxqsfNvHEa7vISTdy+2W16NTJeXFljo3bF+JPz27BeaDyuijBC+818PlLx7K9qR+7WU9wmHdkKCLGn7ON7YMYdCq+ctUEQhGRrDQ9zR0u/vjsZnocfvIyjNy4pJo/Pbc1fvzVszLI7lhD+xtvo7ekM7jwC7xfcCcvvbMPlVLHTYv/kymCnf1bO4hERURpaBSCRq0gfFjeyYyxWWQaBglaMtGNX8RTXTm8vSFmMDg9Qf7fI+v4r28uoCT3+PPDdBoVFQU2wu5O2SA4w0nJrGnatGk0NjZSU1OTiu7OGnRaFc+8XR//vLWhD7tFx5JZycWAatQKls0tJRCKolQIKJUCrd3uhJLpJ0u6UcE9j2wlemDFY/3OPkIR+NYNk5Lq1+MPseKjfUPaN9f3UVueOfSAEyAYivDqp/38++1eMqw6ep3tfO3aLM6bIk8wj0Qq1IcAKgpsXHdRFb3d7UkZGUa9Wq5qLHNUws4eel75A8HWnQD4LZnkXPcDtFknJoF7pmLSqXns1Z3sPrCS3Nnn5b+f2sRP7po1wiM7+3F5QzQfVlTsIEqlgusvqkKtUpCTbmTdts6E7fMn5fPn57fEP186twxRAn8wwsBggF89sSGeY9DR5+Xvr+zgcwvL6Xb4CYcjLDTuwvPBywAogl427ezh36tj5wiG4a+v7OS2qMSTr+1ClOD6i6qxmbUJEs93Xl6LJEmkW8aQm26kosBGVrqe6IQ59HgFVq98F4UAmWkG3L4QvkCEli73CRkFod4WPDs/wtrZgDs8D6FgHHt7JXocPrLtBsoLbHKOwRlCSoyCgoIC7rjjDi666KIhOQXf+MY3UnGKM5LPxhxCLBnz2gsqk9SVjlU5fPj5rfGy6Asm55906MbhdPYH4gbBQTbW9+F0erBaTl6SVAAswygRaJNMdoVYHKXg6ecXF4poXPUEbGWsa2ihqtBGnrxqMSzJVjQ+nPJ8GxFvd1J9GHRqXB5ZgUjmyPj3bYsbBABRVy+ujW+SsfgOBEXyz5HRjssbihsEB4lExdh7pjK5hRWZo2MxaijJtbDvM4ZBMBTh6bdiC3/fv3Uad1w2jk93dSNJMK0mi3SLjtnj8+hz+rnyvHLqW5w8+OQGJAluWFydkHQM4HQHsZm1vLF+P58/Pw8+eTu+TZFXw+rdQ5V+GloHycs00dbj4YV393L3DZNAFPEGIhRmaNjU5OHfb9cjSbH6Mt+8fhK5mSZUBguakJ9FtXYuLAlh7N9DxJRFE/noTyDfLOzspvOp+4m6+wEING5CO205f9+SR0t3bA50y8VjmFmbS5/Dj9WspSDLlHROm8ypISV/lUAgwHnnnUc4HKarqysVXZ4VDBcfXZhtwpJkoRmFQuDl95viBgHA+5vamV2bfAy9apikNatJg0RyBkckKrFgcj679zvicZdWk4astOSrOwtBD1MHViJt34UEaHmHRWPPx+upANkoGBZfCtSHUolep5I9BTJHJdjVNKQt0LIDMRw6ok772YRGrRyiDAfIVdyT5HjyIM0GDf959UQefXU7pXlWBgYDZKcb2Ly3F4CCLBMfbe1k7dYOakrsCMD/vraL86YUcPcNUxBFiV37B/i/N/fE+xQEUAixUKSDqJQKBlwBBlwBGjo8lGuNiIEDi4ueAQoy9TS0ORPGlpdhZFtjHwBjSuzs3j/Iig+biIoSd14+Lm60QMyI/OtL2ynOsVKSZyHDpueG8n68a55AApRAtTUb+8R7E84hSRKRwdh3VVkzEIRD84FQT0vcIIi3bXqNSybezV+6vRj1atQqJd/63RpCByTPb1o6huULylO2MCWTOlLyF3nggQeOuc+KFStYtmxZKk53xmA1aqkpsbNr3wAAWrWSS+aUEghFsHLyhoEkSTS1Dw5pP6hylAwmnZKJlRls2dsXb7tiQQVJig+hVAi4vSG+ef3k+GeXN0RUHKq7faKkRQdwd+xKaJN2vkvapMWQdMbC2Yk3EEY3ih7IRp0aRwoS5WXOXvRFY3HXvZHQZqyedU4YBAAqhchNS8fw15e2x9um1WRj0o+e3/GZREuXi7rdPbT3hAgouxlbaj9qnR+bSUtFQRprNrWRk2FgyewSPjwgD6tRKwmGozFp0qZDE2SDTklrt5twJEowFEEQ4GDY/8fbu7hkbikrPmyO73/FwnI+PCDz/NaWARYtuxbR66RXsKPXqpifls/HO3vxB2OGod2iozTPGk8unliZyZOvH3oXur1D5wQubwiH208JFsKDvfjWPZuwXRzsRulsg+yYIErEO4h701s4P3oBJAnb7M9hnrIYlcl24IiheQwSEgdTHM+bUsCL7zXEDQKAf72xm8lVmVQX2494vWVGhtP2NPnxj398zhkF+7pc5KQbmVKdRSQqIigEnnpzNz/8/Iyk+rUYtUypzuSTnYkhGwVZya+KGw1aZozNobYsg3BURKdRkpthQKVJzruh16kpz7fywppGtjf2o1QIXDynhFljk5+0C9JwSdASCpI3OM5GJEnCF4iMKvetSa+mtcd97B1lzll0RWOxTLsYV90qkET05VMwTzhvpId12hBFif2dLr5781QGXAGMOjUDrgDBUOTYB8sk0NHr4Ud/+Sgee7/q41a+ft0kLpoxfH5KKBLl/97czbt1bUBsYv3Lxz/hJ3fNprkjlkBsMWj4ZMehSIlpNdnotWq+/tt3iUQlxpWmc8Piav5vVcxb0Ng+SEGWiQf+Yy5OTxCjTs2/Vu2i7UDV42AoQrOyhEfX7MLjdwJw3hQtdy2vpcfpRyBWbPTTXV0U5ZrZ1+FCpUoUG1GrFCgUQoIqUqZNj/VgKK8oIkWGGg5S9NA9Fdi3Dceap+KfHR/8G5UtK/7b02QVo7LnES6cSkSfgbZ7G1iyeGNb7HsYdWoc7qGhoalQS5RJPadtViANkxV/tmMxani3LlE6dGypHbUqubANrUbJLZfU0D3gY3+XG5VS4MYlYygvOPFqsp+lzxXiby9vT2jLthu457ZpSfUb8XnYsqeb7Y2xVZSoKLHiw2bGFZx8nsJBFGm5KC2ZRF298TZN8XgU1uyk+z4bCYajCMLwClYjhVGvZtAthw/JHBmVKQ37BbdinrwY50A/GaXVKLXJhx+eKSiVSsoKbDy+cie9Dj9ajZIrz6tArxk9v+Mzhcb2wYRkXIAnX9vF1DHZwwom9Dv9rNnYltAWjogMuoMsX1AOxCbxP75zJi+824AoSZw/tYCH/lmHQgCVUmBHcz+5mUZK8yw0d7hIM2u5bH5ZfLXc4Q5QXWxnz34nAFPHZPPmJ614DgsTfm9jOxMqDuWPKASBklwLNy+uIBqN0uFInOCvrmvltkvH8vSbe/AHI9gtOr5wRS0Ho39U1gws05bi+mRF/BhBo0eTVRT/7Nnx4ZDr4d72XtwoUJgz6Zr7PR5+aSf9gwEmV87nljnVWFrrUat86LVKctMNdPYfKl4qCKQkdFgm9Zw2o+B4NW/PJswGNQsm5fP+geIkFqOGS+aUYjYkHwPqcAX4wuW1+IIRtJpY4SePP3xU9+fxMDhMsmf3gC9pSVJPWODj3b1D2ve2u5g3fZgDTgBrVg7qZV/Dt/UdQl1N6Epq0Y2Zj9luS67jsxSvP5x0jYJUE1MfkhONZY6OQqVBm1VEW2sv2eeQQQAQCEtkWrTccFE1CoWASqnA5w/ilx0FJ0wkOtSLfDD8ZzjUKgVGvXpIiK5Oe2iBT6tRMX1sDhOrMkGCVz5o5OrzK1GpFEQiIgadivXbO/nWDVPwBSJk2fVk2A7dw2lmHQsm51OUZaaz30tNqZ1f/7NuyFi6+r08u3ovkgTpFh3fvWUaO5odRESJoiwDS2YWserjFgA8vhDl+Va+f+s0PL4QNrOWAVeA3fscvPBuEzWldqoqLsagsRHd8z6K9EKkmovw6zLjdQw0WcX49m5IGIOmdAr7u1yEwlFUSgUP/HMTkQOyp5v29hOV6vnOzVPxB8LYzDpqyzP41RMb6B+MFUj7zk1T6Hb4eO7dveTYjcyblE95fvKLmjLJM7pmBmcZapWScCTKjUuqiUYlguEonkBoiLrPieLyBglHJB5fuYPW7pin4NK5ZaRbdElb39npseNNejU2s5bOPi/FORbsxuRuFYtZT1WRjUFPiImVmQRCEbY29FGYa0uqXwDR1UPv5g/oyZjNoOU8MtQ+MjevxpCZi9Jw8gXXzlZSqTyUKg4WL5ORkRkes0GFxx/CGwjj9oXRqpVk2/WkyQX/TpiSXAvaA3kAB7lqUSXp1qFeglA4SrpVz41LxvDIi9vi7eX5FrLth9634YjInv0DvPVJCyCxYFIBf3xuM33OWJiMQiHwn1dPJDfDiPZA6OaAK8Du/QP0O/1kphnItOl5YU0D/kCE/V0uJldmsn5HoniLVqOK5yVcMKOIPzyzifICG3qNkiff2MN3bpxKXqYZfzBMUY6Znc398ZClSZUZVBXZ0WqUZNkNeHxh1mz1EgqX4VFn0tUaJssb4HNGL4FQFLVKwDhuLu7NbxH1HshjrLmA1wZKef7F9xBFiYpCGzcsHpOQy7C1oY8NO7t4+s16xldkcOncEr53yzR6HX7sFi1tPR4efv5QPYbXP2rmoa/NpyhHfl+PNKNrZnCW0dnnYd32LtZtP/SjzrDpqC1LJ9168slxDneAVz5opLU7FoMdiUq8/H4jVUW2ZIeMJEp87+ap7Glx0Ov0c/60QnLTDUmvRqlVSi6cXkx+ppl12zox6FR8+XPjyclIPg9i0OFkpW8Sb77UEW+77YJZXDw4gFE2CoaQqhoFqcSgU+P1h4mKEkrFuedVlDl+JDGKyXhueQkAQhGJxnYX/3pjd7xtYmUm11xQMYKjOjMpzbPyi6/M4eX3m2jv9bB0VjGzanMTIho6+jy8v6mdj7d3Mbk6k5riND5/6VgGvSH0WiVWY2zV/eBEdvf+AX7057UHpD8FKgrT4gYBxHJCVq3fh9WoZnN9H3Mm5vD+xg7eWL8/vs/Xrqjm24v0KAY7EPUqdPmVdPV72XcgTHjZvDK2NsREQAw6FVaTmusuqub1j5oJhKJcc0EVje2DfLC5nYY2JzctHRM3CABmjMuls9/LM+8cUiRaMDmf8eXp/Om5fQDYrUb2tDhZtX4fRr2ay+eXU3vrb3A5BpEk6PKrefbxQx6MhlYnWTY95flWGg8IoNhMWpraXfQ6/az+tJWGNieVhTbe2dDKklnFbPhMPqQ3EKGhbVA2CkYBp21mkJeXd7pONWo46A/IzzSSmaZn694+IhGJaDQ5T0EoJLKjaWBIeyoSdyQpJqXWPRCL//toayfL5pWSm5Fc7H93v4f6FgdPHSbJtnvfAHffMCWpfgG6Qkbe3Lgnoe1f77UxuSaH8qR7P/sYjUaBUiGg06rw+ELDSvnKyEhilEDrLgY/WYkp4MUrXIquZPw5k1cQCEV58b2GhLYte3tZPKPoCEfIHI3qYjvfvtFG/d4GasaUJmzz+sM8/NyWuApfUY6Zv72yg65+L7npRpyeIL5AhB98fjo9Az5UKoG1WzriK/jGAxXaS3ItzBiXg0KAlm43DS1OehwBVqxtZlJ1ZoJBkJduoCq4DfH9pwFQAELRBC6fcRW9/lysZh1IIi+taQRiMqkZVgO/emJD/LyPvLiNr1w1gfxMIw1tTsKRxDApq0nDP15JzBl8f1M702ti+XcmvZqibDN/femQR2T3vgF++Pnp/OqJ7Rh0SpbNTbxWADubB5gxLofG9kEEAZYvLE+4V1u63MwZH5NMFwRh2MrL52Le6WgkZTODxsZG3njjDfr6+rjvvvtobGwkHA4zZswYICZJeq6RadPzk7tmsa2hj77BAHffMAWtWoEqyZVQo05NRYF1SCGbTFvy0nxufzhuEBzkrY9bOG9KQVL9Skhs2NnN9RdVATFXqtMTins7kuHweg0HiURF/MHk8iDOVryjrEbBQcwGNU5PUDYKZIYl0L6Xzn/9FKTYRKe7ZQdZV30H05jZIzyy04NCig4pdgUQichJBSeLUqnA5429gzp6PdTt7mZvq5Pa8vSEhOMMm56cdAMXTi+ivdeDzaxFqRDoHfDx6yfrMOpVXLWokjElaeze58AXiDC2xM6gJ8Tzq/cSFSWqitK44/JxbK6P5dZ9dsJ+1XQrUt2jCW1RrxO7zUiHx08gFCHTqufy+WW8vaGFnHQDWxt6+exc+q2PW5gxLqbqp1YqUCqEeMhyTAZ86OTbG4i9QydXZ7F2a0fCNlGC3fudZKbp6XP4yLWpWTKrmAyrnqgoIggCXX1uJlamYzNrKck183+r9gwJB808ENq8fnsnF0wr5Pl3DxkNOo0yJUIpMsmTEqPg9ddf52c/+xkXXXQRK1as4L777sPn8/Hb3/6Wxx9/PBWnOCMx6NT88vFP4slJaza28eUrJ1CSl5xRICglls4uoa3HE1cmmDM+NyXJo9FhErAiUXHIg+dE0SBy0cwi/vHKjrjGcmG2mRsWVyfXMZBlUgwp6lOQZSDdIK88DIfHH05JJelUY9KrcbqDFOeM9EhkRiPuPRviBsFBnOtfwVA+BYX67DckM4wKxpWlJ+jgq1UKctKTV3A725EkifoWB+9vbscXiHDelALGlKShVR+K7f/VExto7ohVLH63ro3zphRQWWhjb6uTQU+QyoK0hLj5nHQDt14ylkhUZNAT4tFXd3DrJTX4/BEQYs/ZN9bti+9f3+Lg013d8WevSa8mzazF4Q6iEKAwQ4cUOTSRFtQ62sfexINPbo2/f/MyjSyaUsDNS8dg0Klo7fYM+a56nRLVgcJCb29o4evXTuJvL2/H4w/T6/CRl26ko98b39+kVxM4uIAmSei1Q98NBq0SAVCplGSmm9i7tpVVB7wcWo2S798ylX37OnnmnVamjskiN90Yl1YFmDcxLz63cLqDdDt83H3DZN7Z0EJehomLZhZTkisbBaOBlBgF//M//8Njjz3GmDFjeP311wEYM2YMu3fvPsaR8OCDD7Jq1Sra29t59dVXqaqKrSQHg0F++ctfsm7dOrRaLZMmTeLnP/85AM3Nzdxzzz04nU5sNhsPPvggJSUlqfgqKWV/p2uIWsHzq/dSU5pcwQ6PN8Kjr+5gyaxi1CoFSoWCnfv6aenyMLk6ORnOokwDZkOiysKF04uwJ+mhlwT4ZEdX3CAAaO1243QnH/Jk1Sv4wWXZPP7RII0dHiaWWrlppgmVanSFyIwWvP5wPNFtNGHUa4bIBMrIHEQUhrlnlWoiURHNOVDUt88vMHNcDjqNkk17esjPMrNkVjFun5ygfyz2tjq4509r46pDb3/Swn1fmMW0A2EzLV2uuEFwkPc3tXHNBVXsbXVi0Kl49cPEitpd/T56HIledX8wwpjiNFQqJc2dif0B1O3u4T+unsDKtfuIRiXuuqIWhyuI0x2kXzCTN/0a2HCgmFjlfJ5c60hYkOvo9WK36Hm3rhWNWsnlC8pZuTaWTwCxCslLZ5Vg0Cq58/JxFGcZyNz2T342vxS/yowpUMfM8yr412Yd25r6Kcu3cuV5FaiUAndcNg6DTsVcXS6/evJQzoBRr2ZMgZGn3vKjUStp7vLS1H7ouwVDUZ5b3cAXlpRQaXQzIGrQ2nOoLk6j1+kn224gJ91AVJSwGDWU5Vu5YmEF1UVpnDelEIWcQzaqSMnMYGBggOrq2IrvwUQdQRCOS4b0ggsu4NZbb+Wmm25KaP/1r3+NVqtl1apVCIJAX9+hCrv33XcfN954I8uXL+fll1/mxz/+MU888UQqvkpKiQzjpgtHRJJddtdplWSnGRLcbwAXTCtMql+ADF8j99w6jXc+bWN/l4u54/OYWKxHG3YBJ2/MiJIw7KpGj8OfxGhjDIbViBJ8c9Ig4SlaNJKDjqAFmyTrdw+HyxdCPwo9BUadalhJXBkZAE/6GJRKNVL00IJFoGoxnhDYh4rGnHWEwiKPvrqD2rJ0rjq/kh6Hn/9duZMvXjF+pIc26tmws2eIDOkL7zYwoTIDYNiQGlGK5RLMHp9LRYGNULhpyD4HJ+MQm5AXZZvpVClQALZh6h2U5lsx6zUU55hRKxVsru/lzQPyoQDL54/lohnXIW1biZhVjuPToQafNxCmtiIDAejs9fD9W6exraGfYDjK2FI7bm8Qm9lMa7eHOdkePHs/RsnHHJT00Ku0XLvkJ0yozMTlDZFh0zO2NJ1AMIJapaCnuYEf3zKeLfs8mPRKavO09Hb1EI6IaNRKnJ6hY+ro8zLoi7C7X0tZoZm3NrSwcU9vfIHRpFfz07tm8YfvLMKgU8ULZ8oGwegjJUbBuHHjePnll7niiivibStXrmTChAnHPHbatKFFsbxeLy+99BJr1qyJGxYZGbEfb39/Pzt37uSxxx4DYNmyZfz85z9nYGAAu310lcwuzDINkT27eE7JsO65EyESkbj2wiqeW13P2LJ0nO4QoiRiMSTvQu/Vl/LI87FEpEybnhfXNBCeW8pFkzOPceTR0aoUzJuYx7Or9ya0VxXakuoXoNfp4/7n25lank5Vnp66Zi97Wlt56K4M5EiUoXh9YSwHK1qOIox6tVzlUuaI7Bw0kzf3m9gdO1BEArizJrKhw8CtU0ffvXwqsJk1lBdY2d7Uz95WJ6FIrAhhsiIQ5wLD1SWIiCIHi94XZZvJTNPTe9gi1fSx2bzzSQu9gwFe/aCJ+ZPyee+wAmZ6rYrD57S3XFzDs6v30tIVy1G4+4bJTKzIYMsBtSCrScPy+WUoFQJ3Xj4OlUqRYBAAvPphM/lXTqO/pIhAl4YLpqkTPBQKATKsOv7rqU2AhMmg4fZLx+J0BwiGRZ5bvZcbF1ezd/8gUVGiM2LHXjmT8N6P430Y515Dr8qIPxhTBMpK0xOOiLh9IXRaFV5tJuH2vSzM8BCWBLoH0pCMGdywOBYuUJg1VDFwek02f389puQE3Vy1qIL9nW56nbHr6fKG8AUiVBSeA9b7GU5KjIIf/ehH3HnnnTz33HP4fD7uvPNOmpubefTRR4998DC0trZis9n44x//yMcff4zRaOQb3/gG06ZNo7Ozk+zsbJTK2MRaqVSSlZVFZ2fnqDMKXN4Q37pxCms2ttHvCjBnQh5atSLpBFitRoEoSRTnWXlt7T7sFh03Lx1DWEw+sbZ9IEhLl5vcdCOhsEgkKvHS+01MGZNNMmZBVIKCbBMLJxfwweY2tBoVVy6qSInigEUncN6UAvIyTHj8YaaPs2K3GjBq5JyC4XD7QmQlGw92CjDp1Tjk8CGZI1BTls4vHmtEIRSiVikY2ODk/91RjSrJCvFnCi5vmC9fMYH6Ngc9A34sRjXlBTakYSa8MonMGJvNC+81JBQn+9zCCjQHPKaZaQbuu3MWb29oYUdTP/Mn5pNp1/PgE5/G9188s5iSXAvvfNpKSY6ZGeNyUKsE7r5hMkadmoY2JznpRuZOiCktrtvWyaVzS7hgRhGhUJRMmw5/MMo/Xt1BZ5+X2eNzuXFJdYJkqCiBICiQ9FYmldjpd/q4bF4p721sw27RccPiWOG6KxaWoxAEVCqBHoePORPy8AbC6NX5CILA+h2d9A36sRo1lJZcSXnZHJTBQURTFh9263jsxUPf6z+vnsDu/Q7e39RObrqBKxZW8NQHzsMMJBdfucoCSEgS7Gjq5/OXjuWZd+rxByPMnZCHxag5YBDEeO2jfSydXcyL78WUklRKBWnDeE5kRh+ClCIdKL/fz7vvvktHRwe5ubmcd955GI3Hv4Jx/vnn85e//IWqqip27NjBlVdeyW9+8xsuu+wytmzZwpe//GXeeust9u3bx/e//31WrlwZP/aSSy7h17/+NePGjTuucwWDQbZv337sHZPFWMADj3/CpfNKsVv0vP1xCxOrMlgyq5ietr3HPv4I5BRW8tzqRt7ecGiVQSHAj++cBb62oxx5bFxSJpIgEAhG8PrDZKUZaGx3Mn9CDq6+/cfu4AjkFlTw4bZuPtnRxcSqTMIRkbVb2rnt0rHkW4I4nc6T7rsgK4e/vdXKxzsOaR9fubCMq2bY2Nvec9L9Hi9Tp0496WNP2714GI++1cOYAh259tG1wtraG2R/T4hbzk/OK3Wuc6bdj8eLIAjoLNl0OiJEoxJ56Voi3m6i0XNDZSynqJI1de089dYhjfkxRWncsXwcvv59IzewozBa7kWVWkNQsPJOXSf+YIQLp+Vh0wYIBxNzArRaLUq1hlDAj6DU4o3qGHCFsJnUmDVhpIgftdaAGI0gaez85aUdtHS5qS5KY97EPDbs7mbrARnT2rJ0ZozLobljkKb2Qe68fBw/+8cnCV6Ly+eXkZthxOEOolUraWx1MnN8Du29XiZVprOtcYD3NrYxuToLlzdIbVk6f395R7wPo17Nt2+cwqsfNOEPRvjceRX8+p+fxqsLA1w6t5Td+wZo7hjk5otrePL1XfEI5rGldox6dULdAKVC4IbF1fzzQD2MxTOLCIVF1myKzS1mj8/lsrml7OtyEYlCgV3DTx/fmHAdFQJcfUEVz7xdjyDAFy6roTgtSCQ8svkvydyP5wopyzbU6/VccsklKekrNzcXlUrFsmXLAJg4cSJpaWk0NzeTl5dHd3fsRaBUKolGo/T09JCbm3vC56mtrUWrTQy5qaurS9mN88Hmdm5aWsObH+/HccBTYDHEJmLJnKOh1cEHm9sT2kQJOvq9XDYvubHvau7nmXfq+XRXbDKtEODLV07AqldQmcSYexxe3q1rpa3Hw56WQ1Kq+zpdLJg8Nqkx1+3sSDAIAF7+oJnZ4+ek9CGQynvjswx3L54qHlu9msryUvIzky8cd5A99XuorkpOScpoc9PUu2/EHtyn8u97uqirqzv2TsfB6bwfT4RAKIJO78XhcFKSn47JcOLP/TOVXc39vHhAo/4gu1sc9PT7WHiG37dHI5X34vTaQkSJhAKJJ/O7j0RF/vLC1nioUP+gn0AoGjcIALY39TO5Oovq4jTyM030OPwJBkFloY1wREyoknzLxTWolLFcuPZeHw53gM4+L519zVQW2ggEowl9eP1hPt3VTXOHC6cnSHPHYIJBALGk6m/dOJnGdhc2kzYhpbG2LINnV9cn7B8VJSJRkdqydERJIjtNz5NvHPJmfLS1k5IcMy9/0IzXH+aXd05Cr1UliIgsmJTL3PHZVBTYyLTpKcoxo1GfGx69M52UGAUdHR388Y9/ZNeuXfh8iZb3qlWrTrg/u93OzJkzWbt2LfPmzaO5uZn+/n6Ki4uxWCzU1NSwYsUKli9fzooVK6ipqRl1oUMAvQ4f/7dqD7Nqc7BUZVG3u5sPt3QwpSYrqX51GiV2i47Ow2TFIFa/IFl6HP64QQAxY+OpN/dQnj+dZEYtSWAyDB1fKh4UkfBQne6oKBEJD61fIDM6i5dBrBiPrD4kcyT6B/088douVn/aCkBNSQtfu3YShdnmER7Z6SEqSgmJrQcJReTwoeNFEASUKcht9fjD1O0+tBCVbtWzo7k/YZ80sxabWcvm+l4c7gAXfabI3PSx2QnFPAGeenM3V59fyTNvxybqU6uzmD0+l3XbOjEbNEO0/wHcvjAGnQqnJzhs4q7JoGbL3j427ulhTLGdigIrDW2xysOeQBirUYvzMwIP2XYj2xv7GVNiZ9e+oYVStzb0U55vZWtDH6reev7fFbk8v8lHS4+PBbXpzDG1UqDLo2x8cvWNZE4/KZkZfOMb36CsrIyvf/3r6HQnFjd2//338+abb9LX18ftt9+OzWZj5cqV/PSnP+WHP/whDz74ICqVioceegiLJVYC+yc/+Qn33HMPDz/8MBaLhQcffDAVXyPl5GWaCIajrNl0aFV/weR8bMbkVj0iosiy+aX84+XtHAyRLMoxY9InbxQcbu0fxOEOkmzYqlaIcv7UQur3O+Jjthg1FA2TtHSi5JtFrCYNg4epIlQUWMk1yEbBcHgDkVFpFBj1aty+WHEdpaxKIfMZNu7uiRsEALv2DfDWx/u5/bJxx6V0d6Zj0KqYUp3Jxj298TadRjkq84PORty+ELuaB9hc30N1cRq1ZRnxxOPOfi/nTSmIFyYDuGx+GX9+fmt8ZX/prOJ4cTOAaFQaIkQY+Uzb1sY+7r5hCkXZZrQaBSBQf5inHaAs38qHW2JzDH8wQk66ga7+Q4uzt1xcg1IpkJVmINtu4MLphazf0RWTplYJ3LR0DH96bkt8/5qSNHbt62d7Uz9KlcD4fD2ffkZdfly+jv2OmIHqkfSkv/VLbi+aQHR8Dsr2lxAQUMxZdOIXWWbEScnMoKmpiX//+98oFCcuAXnvvfdy7733DmkvLCzkySefHPaY8vJynn322RM+1+kmEIpw9fmVrFzbjD8YobYsnbJ8K4PeIBlpJ/8gF0V4++MWblpaQygcRakUcHlDdH9GM/lkyE03oBBATHAxpmMxJmdwqFQC6WY1t1wSU0pQq5ToNEpSUIQZm8LPN66u5aUPW2juGGRcWTrLZuZhEJKXOz3biK02RkZl8TKVUoFeq8LlDZJmlpPSZBLZ2Tx0xbJuTw9XX1iZEuW10Y4gSHxuUSVmg4ZN9b3kZ5pYvrAcnVqWXj4drP60lYZWJ9l2A00dLiZWZrB73wBdAz5c3hD5WSbGFKexe78DrVpJIBRJCPX599t7ueGiKqbXeAmGRSoLbRj1arz+Q4tXdosuXrVaEODWS2p4bMUOeh1+BAG+uHwsX7xsDC98sA+1SskVC8pZu7Ujbki88kET379lGg1tg/gDEQqzTbR0uXjhvUNhZ7dcXENRVkw2VKexkZum4WdX5tDpETCZ9OwbVPLsO7Gcx85eLzdPN7Am00Brb2x+kZeuZ2aJGp+kYemsYj5q83P9zM/h/fgFYAuiRkfOtT9AZZSLkZ2JpMQoWLRoEZ988gmzZs1KRXdnDf5ghDWb2lg6uwSNSkFDm5OVHzYxvSa5AmNKQaCyyJZQXVEQ4L47k7/+Lm+Qr147iSdf24XDHUtsWjKrGLc3uVV3rRTCpFOSn2mMGQVKgbJ8KxpV8kmCnQEt9z+xidqydOZNzKehzclDT2/nodtryE+697MLrz+MXqNCMUpXVi1GDQ6XbBTIDKU4d2iY0JjiNNTKc2NSLAF/fGYzeq2KuRPy6HH4eOiJDTGBCZlTSs+AD0GApo5B3tvYhl6rYvnCcr55w2RECTQqBb5AmOx0I5Ors9CoFENUsVq73bz6YTPnTyugzxkgHIly05IxrPiwiY4+L0XZZpYvLOdvL8VyDCZUZPLJju64CpAkwSMv7eRnt9UyqSqLSETkhfcauGnpGCryLfiCESZVZfLk67vp7POgVSu5YmFFgkEA8Mzb9Xz9uknsbXWyt9XJzqZevrVQg1rlQ6u28nbroXdyj8OP0x3i25P66VXnIQFZai9dopUte5tweUMsmVlAtGoR+bVz8A46MWVmo7Hnndo/iMwpIyVGwb333sv1119PUVER6enpCdseeOCBVJzijCTdoscfiPDie4eKjN24pDppGU6FEsYU2/EHo6zb1ondouWSuaWk4t2oVCrwDAZZPLMIk0FDj8PHoDeUtBZ2SKHDHQzxh2c2Y9CpCYaibNjdwy1LqpIes8MPoiixtaGPrQ2HEr1cIaVsFHwGjz+EXjf6QocOYjFqGHAFKMuXV5lkEinNszKuLJ0dTbHY7dwMI7Nqc9Frz4FyxoA/GKV7ILZau++warmfjQeXST2RqMiaje3xxGJ/MMLTb+6hosDKzHGxZPdfPbGBtVs6gFhNgv+8emgC7qzaXNKtevqcAXJtMa9oTamdeZPyMWhVgERNqZ0te/uYUJHOM28PVSnscERY/WkL4gEnxPbGfhpaHXj8YfKzzLR2uw+MOTJsfYZgOBqXZlUIcMGMEv77w1aaO4LotQPcurSKQW+EpvZY3sHD7zq47+oJpPXuQwB6zGN58F9b4t6J599rYlaBiN69l2BnE+qa2Si0RtlTcIaSktnBD37wA5RKJeXl5aNSsWKk6Bv0c+WiCnoGfDg9ISoLbextdTBrXHIltUIRiUde2hZzHy8ow+kJ8e+36vn8srFMSnLMeq2Kx1bsSIhrHFOcxqTK9CMfdByEwhLrtnfwtSvH4g+EUakE/CGJ9j4/U5Icc7pNj0IhJGhQmw1qLJYUxCadZXgOJKWNVswGjVzATGZYNuzswmbScuOSakQJBt1Bnn5zD+MrMuIVUs9mtCoF2Wl6uj9TBd5uHH2hgGcboiQNieUHcLqDvPXxfrQaJZMqM/l4eyeRqIRapaC738u1F1bR2efB4wtTWZTG7v39qFUK/v12PTWF06jO1pBuzaHfFSTHbuC51fVcOa+YBbUZZNqNjClOixc/O0iazciDd00FQaClP4xOI/DmxzG58AybHosxMSFZp1EmJKiX5lnQaVVce0EVmTYd9W1OmjtiRqY/GOGRl3fy/+6YwUfbukgzaxhXlsGPn9qIyxtGp1GyZJYnYX5w68JsVO89jMMdy6fw71lP2vzrsM2/GkE4N7x4ZxMpeZKuX7+eDz74AJMpdRKHZwPZdgP3P/oxFqMWs0HNJzs6ueaCKgxJVjRWKQTSzFqa2gfj1jyQEjd6ryPAvIn5FGWbCUdFNCoF721swxdILswnKML5E7O5/8kt8ZWToiwDX1lek/SYM4RBvnxRLn99O/ZA1mtVfG1xFnaFF8hIuv+zCY8vFj40WjEa5KrGMsOjVilZu7WDtVsPtU2syEhJAcQzAbvCzVcW2fnN6z14/GEUCoFbFuaQrxoA2Sd6SjEbNOTYDXQNJObtOd3BuJ5/hk3HledV8sw79TjdITLTDDz0z0+xW7QYdGrWbe/kpiVjMOpV3LFsLAaDjiff2RtXMbrjsrEsmpTDT/93ExALCf72jZNp7/PQ54w9Ey+ZU0KBogfhnceQlBrGTL6ciK0clVJBJCrS2u1m+YJyep1+BlwBTHo1X/rceF56v5GWLjeTKjO5bF4Zv/zfT+LSpcvmlVJRYKOhzRn/Xi5vmG9ePxmIJVjfsLiap97cg0IBmbbE0M5yvQvR3ZvQ5lz3IqbxC1CnJS6ABsNR1ErFsCpJMqODlMwOqqurcTqdslHwGTRqBXdeXsvarR043UGWLyynvMBKJMmXmFIJNy+t4bf/Vxe32ItzzCnRnc9I0+HxhfjXqtiDThDg85eORZekIWPSSPx97f4EV2pLj4/2Xg+1Y5LqGrUUombv//KLpZfiFrXY8KD99M8oKocmsJ/rxMKHRm+4hcWgoWcg+YR5mbOPcaV2Vh4WjqEQYOmcknNCeQhAIUVJ//hP/HTBZTgUNkzKMMb6fyMUXTXSQzvrsZq0/Oc1E/n5Pz6OS8AumJRPfaszvk+fM4DNrOW8KflEIhJ2q5avXDmBd+tacfvC3HZJDTnpRv7xyg56nX6mVmcxviKDNIsWu0VHdZ6Bn/3v5nh/kgT/8+8t/PiOaWxvdqJQCPQ7/QRbdqIciIUp8eb/oL/8Hv7jygm4/CHMBg2vftDEgsn55KQb6HH4qE0T+d60QUJoETLT+P6TGxJqGaxc28wNi6sTjILMwxRAzAYNy+aVMWd8LhLgDwR5+X0dvQcMFYGh8xlJFBOM9Z4BHx9ubef9je1UF9u5eHYxJXlyeNFoJCVGwaxZs7jzzju58sorh+QUXH311ak4xRlJe4+Xv720jdryjFh59A2tfLS1kx99fkZS/UaiUN8ywC0X1xAIRlGpBDy+MAPu5FdYff4Imw6TVZMkePG9RiZVJldlNhIM0tIzVA2o6zO1Fk4GlSkNpQJ06/7OwTUMbdkklHJM4xDcvjD6JA28U4nVqKGtxz3Sw5AZhXT2e7n6/Epc3iDhiEiW3cD2xj5m1Z4bBcxckg5KpqHa8C8OPo0low2fVvaGng5yMox87bpJdPZ5ybEb2VzfyyefKSLa3utBr1MhiRJNbYP89eXtTKjIoChbhyTBQ/+si4e51u3pISKKpFt0PPN2PZNKJuMNJEqChyIiA/0unj6sivX4z02gkBcP7bR/Iy7j+XT1+8jLMDJjbDb/emM3UVEiN8PIwgIzIa+XoE6LEAxTkWtk+QQtZtGFT2Hmtd1hoocZCRfNKKIs3zLk+9utBwwFq577vzyXPfv68QXD5BSr8G6xIPoO5blYpl2M2hq7S4PhCP9atTsuJ9zYPsj67R089LX5ZNuTy1WUST0pMQrq6urIysriww8/TGgXBOGcNgrCERFRIiH5FeAklFsTESXeWLefUERMkA/NSU/+B+YLDFUZcnqChCLJhQ8ZDRoWjrfz9HuJRsDYoqEPnxMl1N+Badx8Iu4BQr0taPMqEQSBkKMblXn0FbUbSTy+0KiOv7aYtPQPyuFDMkNp6Xbj8oaoKLAhKAS6+rzUtzgJR6LxKrBnM4JCzU7TTCqm52Ls+JRgWgkd1knYkXOnTjXhSJSnVu2JT2ztFh3zJg5V2Mmw6fnflTsx6FRYTFpEUYrXLijIMiXkvQFs2dvHdRfGxDYUCgWluSaaOz3x7SqlAotJk3DMYERLqSULSQwT9TgIpFch+iRsZi3hiMRzq/fG5wThSJSmcCZPf+pkwBVg+hg3d88I4F39JwAMwK2TlqMcN5bKohmY9BqKcsyYDYnn/Cx5mSbyDotMsNx4H+4tqwl2NGCecB6GyqkIyth7pnvAx7t1rQnHD7iCtHS5ZaNgFJKS2cGR6gmc69gt2nis30EWTS1AGsbddiIolQqy7AbaejwJ9QTMSdYSAMhIG5q0O7EyA7Uq+ZfuwnFp9A0GWb2lF61ayY2LCihLSz4eWBIUOD54BpUlE5U9B8+ODxADXrSVM5Pu+2zD5Q2NysJlB7EaNbJRIDMs02qyeem9Rp54LSbFnJdh5JZLas4JgwAggori4myees9PRLqEYIvEFbPtKDWyfO+pps/p573DJrYDrgC+YIQrz6vgzY/3YzKoue7Cal77qAkAXyAyJJx3uPvUZtLiOVCn4PkP2vjyZdU89vpedre6yLTp+dKyCl74sCXhmKx0M29m3YpGBVOr0nnhk34+2Rn7TRTlmLlh8Zh4+O9FM4r560s74nOQGUVKfGueSBzE5pfJrJlA8bhJR/z+kiQScfYCEiprJoIi0duszS5Bu/gO6nfvJn9MYjywUlCgEASinwmbVia9OipzKjjp2YEkSfFYTlE8crnbkylodjbx+WVj+XRXNw5XgGk12ahUCoxJVh4WBIHrL6rid09tInpg8l5ZaMNuSf7loETg85eO5ZUPGulzBhhfnsGs2tykX7yhsIhpYDefn5HDFTPGohTA4m9H8nmA5GRJFXoz+vLJ+Bs3EXHFVmXMU5cgaeRKn5/F5Q2l5D45VRj0agKhKIFQZFR7NGROP119XrY39aNQCCgEgY4+L5v39DK+PB2rafSGxKUKhQJa+iMsmZaLRhV79zpDCgKRcyPReiRRH3hvu32HPOlvf9LCN66bxJWLKgiFo3j9QW5aUkN9qyNeB2b5gjJe/2gfoYiIKEnMqMnkk12xd5QgwPKF5XHJ8g27uikrsPD5peVEwhFUSiWS1oBOp0MhgNmo4cbFY3j6rXoa2wfRqBQoDDY+2dkTH1NLl5vOAi95GUY6+rxERSlhUdKoCCFFh0YDiKEjL8REvE5cdasYXPcSSBKWmZdhHr+QsKOLaCiILrMQTVYRAG7v0HDg7HQDVyws5/l3D0mzl+Sah607IjPynPRbd+rUqWzcuBGAsWPHDkn2Omg07Nq1a7jDzwky0/R8uKWDUDhKboaJ9du7+NKV45O2kCOiyEtrGrlhcTXhiIhSKdDn9NPV72VCRXKx/z1OP0+/tYf5k/KxmrTsbXHw15e28euvzk2qX7XBhDcioO5pRN2yE0GtRSoaS9CcfDxw1ONAabBhuuzbBAQ9RtFDaNf7COHk8xXONly+EAVZo1cQQCHElLX6nH4KsuSXhswhOvu9fHNpNgXKXhRihD5VDit2eoicI5Nijz/Cn1/YypTqLMoLbDjdAT7Y3MFdl4+DypEe3dlNhs3AHZfV8vt/b4q3ledb0aqVbG/sw2TQUFFgwxsIccPi2Er5y+834vaFuPtAgbNBT5ArZ2ZxUa0Zjy9EVmYaTQPRBPlQjUqFO6KipSeAXi1RnCshiiJXn1+FXqdka2MvjQcUB+1WHZ3D5OQ1tDkpyjHT0ecdkj/W6tFQZLYTdR+qDi5odGgyCo743X1NW3F+8Ez8sxQO0vPSfxPqbo4dr9KQdf3/w1g8NuG4iKuPqNeF0mTlioXlVBTYqNvTQ3m+lSnVWaRb5bC30chJGwUrV66M//873/kOF198ccJ2SZJ48803T35kZwG+QISyfCszx+UQCkdZMCmP9h4P+ZnJxdGpVQo6+7xxKbSDlBfYkuoXwKxX4gtEWLV+f7ytMNuEJsmFODEcQbQX4dr2FhpJQgx4cLr9aNKTn/ipDCY6M6bzv297aezsY1KplesnLyJNdfS4yHMR9ygPHwKwmbX0OmSjQCaRZeO0RFb+DtEfS0TPVqr4yqXfHxJzfbaiUwlkpRmo291D3e5Dq8PnyvcfaeZNzCM73UBT+yBWkwatSsEDT3waVwBct62T79x0qOpOaa6FHU39PPhkHRCTKP/i58azud1LKCRizdGzflsDNy8dQygSk//+dFcXJn0h737aisMV4LZlNcwen0uvw0+GTc+Gnd3x/vsHA+QOk0dYW55OQaaJ4hwLGpWCi2eX8Pq6fQC8uKGPRbd+nfCafxDpa0VpzSL94q8MMQqC4Qi9Dj86jYrQzrWHNggKFDpD3CAAkCIhHGueRn/9D2OfJQl/8xb6tq0naM5D624nc9J85k2qZd4kWTp3tHPSs4Pc3EMrvA8//DBf+MIXhuzzl7/8hTvuuONkT3HG09rtjse/HsRq0lBbnlwhsGhUYtG0QlZ8eOiHqVUrUxIWkm4UuGJBOa982IQoSthMWq5eVIFJfeQQseMhEvASfv8fMOFyogZrLKuiuwFF8waoqE6q7x7JzgOvteI9EJu5sdFJr8fET242M3oDZUYGty+EYRRLkkIszrbHMVSpSubcRtu7i5D/MGWqaATFzlVQNQ5UZ3/4kFUb5cYl1fzjlR24vCFUSoHlCyuwnwOhU6mgpcvFnv0OQuEoVcVplOfbTkgvX1CAUiFg0qtJM+v464vbEop4hSMiXb2H7s+ufi/rtnXGP3cP+Hhr/X5sJi1hUYHTHWJH8wA7mgcOPw2LZ5bQ1uNhbGkaDa2ueGEylVLBDYur2Xlg/3BEZMAVYO6EPNZujUmUVhRYWDAxj/rWQfRaFUatggtqrZTljcfpCVOYqWdzb4B9lmspLxFodwE7lVxfECESEdFqlAy4Avzz9V28v7mdnHQj900rAj6NXQO1FjEwVDI66mjH6RhE0qbj6O2nozfMo41V7G13M7aomluzvVRZe1Dbso77esuMDEktGa5btw6AaDTK+vXrE3Rp29raMBrP7czy4fSzNerkH+CCIGA1abj6/Eo27enBbtExsTITUlDER4iEmFGqJTNtLB5/hEyLigJTBH84ub5FhYBUOIXoW//D4TpG4rLvJjdgoMMlxg2Cg7R2e+j0KJAfQYl4/aO7ojHEVj57BuTQL5lEIu4BmHMrvdZaoiJkRTsQd6wg6Peh1mpHeninnH6fgv1dLu68bBwD7gAWgwZJgu4BP5UlIz260c2+jkF+8PDaeFKvSilw/5fnMq7s+Bfo1m/v4jf/jK36z52QBwde7zaTllAkii8QQRAj1LcMIAG9zqELG3taHEyryea9jW3MGJeD/rC6GwAWowatJhZeHEsS3h7fFomKbNrTw9euncibH7egUSmZWJmJRi1QlGNGAoKhCF19Hl5a04jTHWDuxDwKq8LU7HoZMa2QoH4sv3nVk1CnYNk8I8+vrue9je0UZpm4YHoRm+p7kSTo7PPSoKyg2JSG6HEghfwozcNcs7LZvPRxDy+uaSI/08hl88to6owZRDtb3PzGFeZXeUGybcd9uWVGiKRmBz/60Y8ACIVC/PCHP4y3C4JAZmYm9957bhePys0wYjVpGPQcihlcNrc06UJgIKFVq9jW0I3dosMTCOH0BLFbk18XVwkimxr6mVZiQGlV4A0E2NMmMqc2ub5FUcF2oYqamkVIu9cgaHSIkz7HTreFZLMKtNqh7nOVUoE22ZinswxRlPD6IxhGefhQmllHRwrqV8icXbirLuaRFXupb4lNlNKtOr57w92YGN2er1QhqJS8sW4/GrWSykIbPQM+9ne5+cFt00d6aKOeut09cYMAIBKVeGlNA9VFacd1fP+gn7+9tO2w/rq5c1k1OWIP5sEGRLWBLk0Ruiw7v/nnRkDi6guGJnpMqIjVLJpYkYFRp+a2S8fyzNv1DLgCZNr0XHdRVTw0LBSOkm7V0dZzSKJ0e1M/i6YWMndCLuGIyCMvbuWSOaW88kET/mCEWy6u4ffPbo2vD36wuQOVIp9rp12D1LsPv7WYSPSQoVGeb8XtDcWjDroHfGxr6ueqRRX836o9APx+VQ8/vvZuNJ5ORFFEZS+FuZ9HUfccYtCHonIO/tL5vPavvQC093pZtX4/s8fn8uGWmAejzxmgz68g+7iutsxIktTsYPXq1QB873vf46GHHkrJgM4mPL4Qty8bR2P7IC5viPJ8KzazFrc3TE4S8vk2sw5/MIJRr6Y4x0w4IvLJjk7GJxmWBKDVqJiR5WNbG7QMRJhSqGKiPUpQlVw9AYvZgCeq4Y/7x3LBlOkEIvDqOidfvSz5FT5RlJgzIZePth5y1V46t4RQOLmQp7MNXyCMRqNAOcolHNPMWrbs7T32jjLnFLvb/dS3OOOf+wcDvF3XwRcuG3vkg84iolG4fH4ZT79VH48tn1CZwQlEwJyzDFfYs9fhJ3IU5cTD8frDCQnBkahEtbob6a3fAaAECvUm2qf+Zzz5d9OeXi6aWcRbH8ckRfMzTSyeVYxKqaAk14IgxJ7JNyyuxh8MY9CpCUeizK6yUJ2WQ6ZqkOsurOJ3T2+KS4QX5ZjRaZX84dmd8bF0D/jixkMoHB0SMPDBlg4Ks8dQ31JIttdHTrqBrv5YCNCUMVm8cJgqEEAwFE2QJA9HRLpCRrrcuYSjIvNL0tFXL8STMQYpEiaqS+N/36gnGDoUA9Dc4WL62Jz4Z4VCwGg+tyNHzhRSsmQoGwTDIwgCm+t7mFWbQzQq4g1E+GhrB3ck+RJzuoMUZpkQBIGtDb1kWPVcvqCccDT5SXCTS0VOWh7zFI0IJheitZBebT5aX5ihpVqOHykSYnK+kl6vnb+tbsWgU3HtBZXkqgaTHrMgiUgS8YQtrVrJ1oZe5tbK6xKH4/KGMCUph3s6sFt0dA8MjVuVObdp6hj6rKhvdeILRjgXIlWVCom9rU7uuXUa/mAUnUbJ7v0DCZKTMsMzvSaHV95vSmhbNq/0uGWPVSoFM8flsH57FwBzatJQbn2Fw+sPi34PWaF2tBo1wVCUD7d0cNn8Uh68azI+jwdLmo29XW6eeXsvA64A48vTmVqTzfOr95KfZaKly82AK8AvL9aQ+enfYNLlRIou4rs3TaWz34tOoyI/y8i7dW1cv7gaAdjR1E9pnoX+wQAeXxibeegiW5bdQFGOmagkkZ9ppDzfysqP9rFnvwOdRoVOqxoSfqs6rC5RRb6VklwL0WisGKuggIJMA1GdGSkaZUtX7L48nMw0PYOeYPzz9RdVkZ8pC0ecCYzuOIIznNx0AxajJl7avCDLxH9ePZEkiwOjUsIL7+1l9vg8zptcQCQqsa2xn0mVycmRAiDBNx/dg1GnIt2aTVvvAFajh5/cNSupbpV6E+vbBHY2DXDFwnKCoSjPrW4g68pxSRkbAPnGEHqtMkGN6aYlVeTr5Inl4bi8oaRrZJwOzEYNgWAEXyA86pOiZU4f5QU2IhGR/CwTohTzxCoE4ZypZ5GlC7J0dgl/fn4rA64AGpWC6y6qosAuqw8dizHFadxz63T++cYugqEoV51fmbCSfSz0GhXTxmSjUSv5eHsXBRkGaB36fhGiAVQKDQenw/5AGOtHf0TX2cjAst/w1xe3xQuObmvsR5QgP8sUDxm6+fxC1AYPnTO+Tnp+Pm+ta2FzfS8VhTam12SjUijoGfDxXl0bAHMm5FFRYMOoV9Pa7SbHbqCy0BafpCsUApfNK2Pdtk7WbGrHZFBz4+Jq0i06rr2giv5BH9dfWMU/Xt0R/w6F2SYmZkbIXpqBRiFhy87hh39eSzgSMz7nj7Vxe1U/nrXPIEXD5My4hktmV/PauphHRKNScMNF1aRbddSU2smyGSjLt6JOQT6lzKnn3HiajhB9gwFe+eDQ6kRbTywB6M4kPQXhiMS8iQU8vvKQCzE33ciCSclOryEQiLlIvYEI3kBMScHhDqIUhxY8OREGHC4+2NxJZ7+Xlu5DCg079jmZPbEwqb6tCj+XlfmZWjGeAU+ELKuavGATaqE4qX7PNlzeEMYzYJKtEATs1pi3oDTPOtLDkRkllOZa+HBzO2s2tQMxicevXTsJRcQH54DOmCOs47EVGxlwxUJhQhGRJ1/fzZiCaSM8stGPTqti7sQ8JlRmIIoSVtOJha36gxF8wQhIEhfPKcEVjqKbcgmed/5xaCdBgdtUgjcQm+BrNUoWjjERXNkIQK87gviZ0J4dTf3cf9c05hQLpOtElOnp3PNEO6GIyPIF6Wxp6CMUEdnZPECO3YDTE4yrDwF8tLWDsSV20q1ainMstHS7Kc2zMGNcLDpBrVLyyvuN3Lqkgu4BL7NKNFSkhVHVZNE3GKAkz0pproWvXDmB5o5BbGYdY0ts6D78LUXdTajtebzSdUPcIABYUiHhfv9f8c+RT57l0vmfJ/fycbh9YbRqBdl2PX2DQRpanKgUCvIyjWfEgpSMbBScUjr7hiZLbtnbSyiSnLtXkiS2N/Vx26VjGfQE0WmUBMMirsMSmk+WPLsGhUDCw6u2LB2bPrnAVUGUyM0wDCm2kp4CGVW/e5AMsQ9z28eEXb1oMgpRWewEfJnI5VEO4fIG0Y9y5aGDZNj0dPR6ZaNAJk59iyNhQtQ94OO9ulZKlp4blbs8wSgdvUPfKV2DYSaMwHjORMyGk/OqhCNR1m7tYM9+BwDTa7JZrc5i6qxb0TWsRtKa8VUvBVsJt12aAUjUZCsxvnk/B9/2w+mApJm1mPt3Yt7wF8TJV/LTd1zx+UFHn4fiHAv1LbFzZqTpqdvVM6SPPS0O/MEwn+7q4a7ltbx5IIfhIHPG51DW8y5fMzcRlkr579dLaGiPJS+PL8/g421d1O3pwWbS4g2EeUaU+NnNXyTt/d+iNKfhCR6ar+i1Koy+Tj6LtPFFnPkZPL++h5njctjW2M/m+lhe2Iq1zSyaWsBXrpo46mvkyMDozjg8w7EYh65GlBfYEJOUDg1HRMZXZPDEazt5fd0+nnlnLxt2dmFIgSUeRMXXrxkfj00cV5rGsjlFuCLJuahVKlgyqzjhoVCQZaIsP7kEZoCIysTA6icJOzpR27IItO5i8JMVhFWjt3LvSDDoCWHQnhmrNXaLjvZez7F3lDln6BhmkaW+1UlQPDcybbUqJRm2oTNL6zDvGZnU4gtG4gYBgEGv5p1tDv7fu2qe01/L48ElfP+FAbY2O9CoBCJRCUPYieg75BXPFnuZVXtY8q0At182Du3edwAIGLJxHhaHX7e7h4WT8zEeWMjZsKOLMSVDFUoqCqyMLUnn+sXVuH1B7rqiFrMh9pyfXJ3JzNpcmtPnsjn7crrzz4sbBAA1JXY21scMDacnSDgiIooS/T7QFY9Dk1nEbbNN8TEEQxFCumFUUtJL2NcfiyYoy7fGDYKDvFvXJj/PzxBks+0UkmHTMWd8Lh8dKGBiM2m5dG4pmiTVX/QaJW3dbm65uIZAMIpKJeDxhRPqRJwshogH+7ZHuG/6BMI6G/rejxG7O/DbL0qq3ygqevp9fPnK8XT1+1ApBXLTTfQ6h6pCnChBfTrSlCsJbXwhVmlRUCDNvxNRl7zBcTbh9ATjD/fRToZVT0uXa6SHITOKKMkd+nueUJ6BQnFurG2pNQpuXlrDX17YSiAURRBg+YJyOSzjNGDSa8hK08eLKm6u7+H8aUW8+F4Dq7f0ASAIUJJjod/pR6kQWNOiZtny7+D/6N+Ifg+dpKFVe/nKVROIRESUSoGX1zTyzau+idrdhc2aQ7Z9W1xkQRQlnnpzN/fcNp3tjf1kpenJSNOzpb6XtgMT7HGldmxmLR9s7kCjUtDj8LF0dgk3Lx1DvyuIPxDGohPQ9beRrXKjEWB6pYUNe2PPVpMhVojtYEjaQXT+Hjzb3ot9r21r+N3nf8RvX+tGkkCXX4iqsJZIa0zaVKE1MFC+lI0vxOY5R5qHyAnxZwYjPkN48MEHWbVqFe3t7bz66qtUVVUlbP/jH//IH/7wh4Rtmzdv5sc//jHBYJD8/Hx+/etfk56evBxnqtFplCyYks/YsnQCwQiZNj02o4ZkfxqiBHMn5PP4yp20dLlQKhVcvqD8hOMkh8Ma6sHb3YiiuxEtIAKCehP22jnAyV/jSFRiwB3EF4oQFSXCEYl+lz8lhowYieLKmUZoXinasIeAxoopLQNtshndZxlOd5D0FNSyOB1kpenZLMuSyhyGSa/mP66agMMdRDrwOc2kBZJ/hpwJ5BkiDFr1fPFz4+lz+rEYtWTYtFi18mTrVFOYbeYLy2t56Mk6IlGRQU+INJOW6y6sYnVdKya9mgumF6EQ4LEDuX5zJuTSqi5lcMrdREQRSRJYs6k+nhMDMUOiZSDCX17o4PL5Or78ufHs73bjC0TQqhXkZBjQSAFmZnkwWhQ8ubabWeNzyEk3olQI2C069ne5GfQECYajzBmfi9cfZuPuHrY0xIyVAaeXy2rTaHNqyXC6uXNCmA6HgfY+H6FQlMvml/HEazvjUqaTyq1kuQ7lK0pBH4quPXyzqBUx6Gd/bxo71YuZOnsRKimMT5tBk0uHQCcSsXzEwmwzrYflDlYW2sjLkD33ZwIjbhRccMEF3Hrrrdx0001Dtu3YsYPNmzeTn58fbxNFke9+97s88MADTJs2jYcffpjf/OY3PPDAA6dz2MdFj8OHSqEgP8NIVJTQaVVsaexlwcT8Yx98FELhKF5/mKvPr0QUJVQqAZc3iNuXfE6BShj6gpGiERRJmjIKhYRep4oXRDlIKgrvmMRB0iItdEejeNGSFe4kPegkKp4bscbHi9MdpDjnzJCFy0wz0N7rQZKkYSuDy5x75FjV/Pmlepo6Y6ukNpOW7984gXPl9hDCAdLaPkFZOA+zXo1GrcQSGcDu84Bcu/2UYzNp+N6t03C4Ahh1ajKsWpo63Fx3YRUKBPR6Jf/91Ob4/ht397B0VjHBiEgwFKUox8zCKfkUZJmJREQ0aiV9Tj9pZg03LR1DRYGVPS1OnnhtV7xOwLK5xVys2UBkyxsElCpumXUNf9+dznOrXeSkG7juwioePUw5qKXLza2X1GAxHQr3Xb+zl9ysCp5b3YpCgB9cV82dy4y09vrITDMQFSW+ef1keh1+0i1ayl0bkD55I+G7K6UQ2pwCxEiILCP8fouDFeGDi24tjC9P56GvzadvwElFUQ7nTSlg1fr97No3wPiKDC6cXojFKKtknQmMuFEwbdrwygmhUIif/exn/Pa3v+XWW2+Nt2/fvh2tVhs/7vrrr+eCCy4YlUaBJMGHWztZv70TjVqJVq3k6vMriCa5Oq5RK/n3O/W0dLkT2r9z09Sk+gUIGnNQ6IyIgUPxu8ox5+FX2ZLqNxxVxGXUDmfPfgdzJiSnmqQTwvS88ziqaISDaalOk43Mq76XVL9nG05P8IwJNdBrVeg1KnodfrLshpEejswooKHVETcIIHY/v/NpK7csOzeS0VW2LPTeDqLPfAWz3oQY9KPQGdF8fvS9+842Blx+XlzTxLoDocAzx+XQN+insW0Qo05FSa4VrUZBMHzIO/3VaybxxGu7aWhzAnDJ7GKCoSj/OiCdLQjw1WsmsmFnDy+uaeR7t0zj6Tf3JBQOW7F2P9OXVWLjDYhGCKx9ipuXfpdNTR70WhVN7UNrd6zd2kHpYaF2+VmmeEhSUY6Fza0hVq6NLc6V5FqoKk7jzfX7ATDqVNx/oS4x2VRQoNLqGHj7cQC0Bgt3L/0Kv3q1M+EcFQU2PH3NaDR5/PHxzYQjIoXZZjbt6aG53cn3r65E6WhBZbJhyClGoTkzvNbnGiNuFByJ3//+91x++eUUFBQktHd2dpKXd2gSabfbEUURp9OJzWY7zaM8OqIEH2yOuQrDERGvP8y67Z1MTLKeQCgiDqtsNOgNDrP3ibGjX0najK+S0bUWlbOVQOEMPvYVMckfIRn/hkYlxRRlPjNuqyn51QMp4IVoJKEt6nFCKPl8hbOJQU8Qk/7I11uSJIIdewl2NoCgQJtXgTanfMRW6nPSDezrcslGgQwA+7vdQ9r2dgz97Z+tKFQa0uZfiyY9H8+OD1CWl2KfuQx12vHr7cucHAOuIB9vPzQJ1mmU+AIRptdkU15gxWzU4Hd72LgnFvKo1Shx+0JxgwAgzarntXX7458lCZ58fTd3Xl4bWwTRKnH7hkp/uyMqbId9Ftw9XLGwArVaQTQ6dIHRpFfjD8Z+E2qVgiUzi3lsRSwcaFZtDs+8sze+77SabF5ac6iisTcQ4aVmGzdd9BUi295E0lmwTljA4PtPx/cRfS5K/TvIzyykvddLbVk6yxeUozyQK9nR66G5I5az0NYTM+I7+7y07N6F9aM/AWCcdSXpcz+HSic/20cbo9Io2LRpE9u3b+c73/nOKT3P9u3bh22vq6tLSf9O99DEuL0tTqKimNQ50nMrmDomm/XbE6XB7GZd0mM36XP52TOdlOdNJDdtBtvWuclMCzN9miKpvvMKypg7MY+dzf1EDjzI0q06Mqx6mpqacDgcx+jhyJSm2QGBw2OLBY2eoMrMrhT9LQ8y3DWYOjV5D82R7sVUIUoSg54gHe3NdCuGmeRHQugb16IIuIlasgEJZdM2RI2eQNkcJO2xS8buqd9zzH1OBBUB1m7YhdLffuydU0SqfvtnOqf6fjxRamtrGV9i5Y0Nic+8uTVpiILqnPq7qYxlmBZUEwyLdLQPQPvAsQ8aIc6EZyMc+3dvtudj1Kvjk/ZN9b186XPjeX3dPp5+qx6VUuDe26dTlNNPS5cbo1ZF/2DiolRkGCnyiRUZhCNRLpxRhEGrpiDLFJ9IQ6z4WIban3CM0mjnpdcayMs0cdWiSvRaVdwIUAixgmaZVh1jSuyU5lr476c3xpN8JYkET0T4QBhT5DDDes0OJxPHTWKDpMOm1nPZtjeIOLsTxiD17+P7Ny1jYNCLThnG27uPnv4QhSovXcHE8cbHLR36/t71L6AoqKXFc3oN+lTcj2c7o9Io2LBhA42NjVxwwQUAdHV1ceedd/LAAw+Qm5tLR0dHfN+BgQEUCsVJeQlqa2vRahOTc+vq6lJ24/g2Dw2XqS1PR61QJHWO9h4X8yfmEQxF2FTfi9mg5vIF5ZiNaiZWJjf2nY093LRkDC+uaaSh3U1JroVL5pRg0CqpSGLMDscg2xp6uWHxGELhKEqlQCgs4vQGWDClIqkxb9/Tjn7atQifPgNIoFASmXUbPRETU6eWJdX34aTy3vgsw92LqWTQE0Sv7WbsmDFDtonRMP1vPobSbMEw7UIERazypCSKBFp2oNn9FvZFN6LJOHKRuT31e6iuqk7pmP300NrjOW0P8lP59z1dpGpyfKrvx5MhO03PVXPzeHl9J1FRYt64dCZV2NGqhDP+73YynA336/Fwqu/F47mOPQNeLptXxv+9GVv4sBg1bG3oY3tjPwBqlZLtjQPUlNiZeyActig7MX9LrVKgUAjxSfnkqkwiUZH/+fdmIOZ9uPr8Sp5fvZfWHg8Wo4YvXT4G06Y/cTAoyVA9C1V2PvfcXIRSEHC4/Vx9fiUub4hwJEqW3UBvr5NKiwEx3IEYqeKy+eW88F4Dg57YPgWZprh60UdbO7h4TinPrz7kPci2G7CatGSkWzHolGiz5hBu3pjwXVRV89CYTOj0etL0At71zzO4/mUAzGMWMblyMpv29sX3n1OThrnrowRJANHvYurU+cf468icbkalUfDFL36RL37xi/HP559/Pn/5y1+oqqpCFEUCgQCffvop06ZN4+mnn2bp0qUjONojo1EpWTavlNfWNiNKsarDi6YWEvlsWcMTRKVQkGbVMWNcDpOrsxCEWBEwUwrixX3+MEXZRpbNK40tvAuQk6bD6QuTTOS/GBWZXJXNn1/YSlQUkaSYZOtdy2uTHvOgX8RnqaRi2dcQPP1Ilhw+6dGSHz43wgqOB6c7iPkIiV6uT1YiqDUYxsxKCBUSFAr0JeNRGm0MvPtP0hZcjza79HQNmdwME+9tPH1eApnRTV9Aid2i4Sc3j0WSJByeEB1uyIxInBnp8zJnLILAtsY+br2kBrcvTGWBNR6SAzEDoKF9MK7Pr9Mo+cLycdy0dAzPrd5LMBSle8DL3ddP5vGVO+kfDDBjXA6PvLgt3seajW2cN7WQikIbsyfk4Q9G2NzopHbuddDbgKBQEeprRe3tJb95A4IkkVV9IX/Y0EVLjxeVUoFGJXDP5XmYd7+Ccs962md9m+fec3LelEL0OhUDrgBLZ5ewuT6mTpSVZqCywMqtl9TQ0uUmzaJFrVISDkdYXddKJCIy4eaxpE27ksjmFSBJaCZfQo++jF/89l38gTDnTcnn0gxjfDIp7X6XW2YVMLGqhvqWQcYUWxkf3YH08YbDrqcCpUVOjh+NjLhRcP/99/Pmm2/S19fH7bffjs1mY+XKlUfcX6FQ8NBDD3HfffclSJKORlQqgcnVWZTkmgmGROwWLRq1Mul+Q5Eoz79TT01ZOhkWPVFR5L1N7Zw3pYDygrTkOhcE/vHqTr68fAwatZqWbhe///cWfnFncjUzJYWS1Z+2cP1FVUSiIgpFzFNQv9/JnAnJqTGNsUdwr3gUp+OQB6mmbBrWsbck1e/ZxIArMGw1z0DbHgKdDVhnXnbE3AFNZiGCciGONU+TtuA6tDmp874cjUybnkFvEI8/nBKDV+bMZkdTPzqtGm9XJKa6plSxbVsbU6pGnxy1zJlJr8OH1x/GbtFhOUziO9OmZ8bYHP7x6g40KgUVhTbK8q30OmOhMt0DPuZOzKPP6WdWbS6CAIFglHc+aeHWi2tQq5XU7exi5dpmfnR9NZFgAI+UOP3qcfjZ1tDH5fPL6HH4yErT09LtprXHgXntc7Gdiqawy2Hh5aaxaFQCVxWp+ErtAL2kE0UgK9JFhqTGo9LHxq0YJBQWefXDpvh5inLMfOXK8cydmEduupGmDhe9Tj/l+VYCoSiDniBqJXj9YQw6FZv2B/hoaxaXTvwmggBqcyZ/evyQMbO6rh3LzDwutOUSdcbC+5Trn8Q26/u0dLvZ2tBH7VUlKK1ZRAd7ELQG1PNuQ5dVdEr+hjLJMeJGwb333su999571H1Wr16d8HnKlCm8+uqrp3JYKUGlVHL/o+sTinbctGQM+ZnJ6fUGwyJbGvqo25Oo4z6xMiOpfgGKNYPMGJvNS2uayE9Ts7XVxxcvH4NWGJoAdSLoFGFmjM3isZW7E9rv+/yUpPoF0Hg6EA8zCACiTZ+innkxUDD8QecYwxkFYiSE85NXMY2ZjUJ19IRvtT0X0/iFON7/N7b516DLTS7k63hQKAQKMk3sbXEwuVpeVTrXKcmz8odnNie03bikGiGa3LNJRiYqStTt6uZ/ntnEoCdEYZaJu2+cQmVhbJFNEAQumFH0/9m77zC5rvrw/+87d3rfme1NW9R7s+ReZSTbkmVjGxkbTDCYX0gCISFAQnEBEkJCviRACLEBU0yzMbEsYcvdsiSrrrpW0qrsanub3vvvj5FWXu2qrGZ2d2Z1Xs+j59HeuXPumdmz997PPed8DmWFBhqO9FBZYqKyyMjhFicatUwkmmB2vQ2lLOFyupEkSCYtzJtaxDNrz86J+Mf76lH+3z8hx6OolzxMkdU4EFgA+IJRdh/t5Y0drQPbpq6wYwIkWcWpig/xHy+enbvV2OLhPz5Wz1TfEVKkiPu68e/di6p6JlFAu/eP/OOqz/LMJjedfQFm1dpYcW0t3/jfrcQTKaZPKmDVDXWsfa+XV51BVEoF990ymQK9zMdvLKW8yMCbh9xMLtVSoI6hlGWanEPnDGxs9HDLokXgXg+AuqSWgqIiigri3HltDcbKEqR7HyfudSDrjBiLyzDqc2t4opA27kHBRNba4xuyit+6zSe5bl5m2SK0aiUzamwcOD2e8YwCU+YpvoK6IpZPbkcObybpaGf1guuIamsJSIVkkvhPUqi4rlYFt1WyrqEfg1bmozeUM9Wa+doKkjT8iqbn234lcnjCmPSDn7YHDr+P0mRHZb+0gWEqWxnGubfg3vQCliV3oavJrPfoUlQUGTkqggIBmGyX+NKHJ/P7zV2EY0nuWVLEnDotskr0IgmZae/x8Z1f7hhIgtHW6+c/ftPA45++mlA4jsmgprhAz9LZZSydXYY3EOWHz+/hU3fP5nCLgwKjBlUqzg0FXeh6NkAqRbhqBa6KqZTYZuDyRVhcb6Jg63+TiqeveQmlmtU31bPnaC/H293MqrUzq97Oz18+u+6AJEGBKr2/smoWrx4KDqr3fUsL0R9/C1fTFgDUpbUY591GqGkXAMmgm5LmV/nGnSsI9IeRrAa+9NsGZtVYmFulJaU2sHbjiYGUpbF4kt+/0cTMmiXcMTmGpI5gv9qGbu/zJLfvA0lB4NqvDfn+KosMKENO4oDSWkrRXZ+lsqyWhXM/6dFtPAABAABJREFUONzUCBVlWfl9CaNHBAWjSCkPvSnVaZTE4pnNKYjEEiydVUavK0SPM4hCgtuXTiKZzHxlSznkIrbh30mcTucZ3/l/KLz9xK995CLvvLBUMoV06FUWHd/N/HnXoIgFSW38GXzoU1BVn1HZCoMVdUkN0Z6WgW2GGdeS1IgVFM/oc4cGzSlIRAIEDr+P+ao7R1SOqqAE08IP4Wl4nWh/B+YFtyPJo3caqSwxceik4+I7ChNegecI0pZf8qUp14CsRTr0OwypG4jYHhBzCoSMdDsCAwHBGR19ATbt7eC5V49gNqj5uwcXsGhGCZIkoVYqmDeliO//Lj0Bd9qkAq4ukGDT/3JmJpty89MU3fZ5rFPm0Nbjpzregrfv7DAep8LOT9ceZGatjatnl9HR6yOVAoNOhTcQRSkr+PTyairtAcJVM1FVTMUQOhsAq5QKlhZ6iG7dMrAt2t1MvKob3ZRFaComo9AYSJZMQ+o8iF4RoUs9g6+sSlDe+TapYweJXf//8ds295Dvo9MRZsF11wNQsv0V3K370i+kklSHm6grL+RkZzpFsFqp4GN3zqTUXI9z9k0UTpqM0mDN8DcijBcRFIyiIqsWq0mD23d2/YA7r61BpcrsCbZalti0r4MF04qxGtVIksSOxm7mTs58+JDs7SR6Tn7/ZNMWDFfdA9guu1xlzEf41CESATcceHVgfeTIB27kL1cqEce8+E4SQS9xryOdt1uhQJFMXPzNV4h+d4ip1Wfnm/gPbUZdXIusH3n/j9Jkw7L0LgKNW+ld/yPM82+HVOZzZYYzqdTESxuPk0imkIdLpSpcMaIdR0nFwsjt+5GUauJBL+FT+ylcejeIsEDIgNU0dCiLQavEfzoFqTcQ5V9/tYsffPFmtGoZhSzx5geG+Bh0KjSnNnHuSkGa5i1ESmbj8UVIVheDQobT1yWdtRCF1Etjs5PG5nRa2bZeP1//2BwCrUcxKCLoDz8DxjvSXQYhD3fNmU7DkT5KbAYKzBp07v2c+ygw1LIPlaeMYNMOUMgUr/5bnPveIe7qwvaRBRiP/IZEfxsAyq6DVBZPpr138PpB1g/Mp4g27x30mrLheb5w02P025YSjiaoLjFRWSAT7elClwiS8LpEUJDHRFAwirr6A9x5bQ2BUBx/KEplsYmGI70Zj/2XZAUfuW0q3/tNw0B+4qtnl1Fo1WVcZ5VGw7kjBiWVBqUqs6YS05jRVk7Df06+Y03JpIzKBUiE/LjUZezvtdLUU8JcjY6ZRaAIBy/+5itEvzvE0lnpYWuJsJ/QsQYsV6+67PIUKi2mebcQ7W/Hd+BdjH4PbvdsNKW1qOwVyIaCrCx6ZtKrMenVNHd6mFxpzbg8IX+py6fSU7CAhm6ZYDTF0jkKquItRFGR+ZlPuJJVlZq5/5Yp/PGddGpOhQQfWTYVq1HDFx9aSCyexBeMsva9E2ze18nypZMIR88+dOpxBJHKhj5gURgs/PTlgzS1upn2V9egueXz6Jo2IKXAG4uy+qbJ/N+76cXDJAnuuKYG/H1YY70oPe0kPD1IsRDRvlZi7h6ql07iax+fx/YjTtQqmcC0FRha95AMnF3nR1M2mZC1jqh9NtqufTg3/h7r9ffTv+6HyCHXQEAAIDVt5LEbFvGv6yMD9xK3La5iUunZXnZd3VyCJz6Y6jiFVRGkdmb6ehL3u3FtehHvjvR8Akmtpfiev8eQYXp0YXyIoGAU2S06nn7pIAatEr1WxVs727h5YSWaDDMQxeIJth/s4u8+ugC3L4JGJSNJ6ZUEZ9ZmlolDY7GjKqoi1nf2xGG97j5iisxWHo4lJFTzViB3HCPhSmco0Ey5mkhB5plsQqYqfvjHJo62p7sz390PyxYU8/FlmQccE0W/O4Tl9NMf/+H3UZfUotBmPrxKXViJurCSjuNHMBAncHQncc8rkEqgslegqZiKrnrmZfVInFFXYWFfU58ICq5w3ZY5PPVCA9HTi0Bt2A1P/MV1TB9mmKYgjIReo+SBZVNYMqsEly+C1aQmEIyzYfspjrQ4qa+wcMviKn772lEisQSvbG1h5XW1/OHNJgA6+vz0FMzHqnx3YM6AJKtQTLuRpo3pIUPdjjAKZTUnLWto6fRyt87GkZZjfGzFdKLxJCqlAotBzSuHvGw/bKamZDEfX30/3oCHgzV/iVUnUawt49u/2kPq9EinDdsUfPOBv8bw+rcBUNkriE69jX/8dTP+UJxFk6/jo1cZcKnK6L3pn6lQ69EV1ZLqawYgFY9i2/bf/OunvsWBjigWg4bachOVJWcXXtVPWUzg6HbCrekUrJqKaRimXz3weqT7xEBAAJCKhnG8/jPURZWorCUAJGMRIt3NxF1dyAYr6tJa0ZuQo0RQMIpsZi0fWTaFdZua6XOHmF1n55bFlenFdzMgAdsOdfPu7jYWzyylxxHkRIeHv75/XsZ1jvk96OsWIE1dQiLoRWkpItLdjL4ms6g/noQNjXEoeZipUyMkJSWbWpJc51ZTlGGdO30MBARnvLW3lzuurctgwNPEEY7EicQSGLRKEpEgoWO7MC+5/F6C4SQ1BnRVZxc3S4aDxDy9RLtO4N/3DuqSWkzzbx24SIxEfYWFhiM93HfrlGxWWcgzO5pcAwHBGS++18KXqxeMU42EiUSvVTHj9EO11m4v//3Cflp70teVPU19tPf6+dt7pxD39uOLyXSFonz2w3N5fccpLAY1iYJqXDf8PWZfM6SSOHSTaDyaXo+n3x2myKrle7/dPTCcuMcZ4JOrZvPTtQfpc4e4fUk1+5r6OHh6DtXhVi/f+k0jq26o4/ktp5hVZ0c+1TYQEADEE0l2tSW4d9knSEaC+G3T+ZufHhtYIK3huBu1TovTe4Kjp9K9CX9776NM2f19Er70kCVNzRwKDDHqbhx+bp+qoJSS+75MzNkBKVDay1HqzwYNcW//kPfE3T0kAp6B873/0Gb6//zjgdcNM6+jcPljyHox7C/XiKBgFLV0eXmnoZ0V19SgVio43u7mJy/u5+uPLs247I9+aBrBcJwTHW6m1di4YX4FdnPm2YeiAS/B7S+nn3Jo9SQCHgCUi1ZnVG6KFJv3dtHlGDx20V5k4/r5518p95LKjg9NSZhKASJVIQA9riA2sxZJkggc3Y6qsBpZN7qTsBVaPRptDZqSGnRTryLS3oTj9Z+jm7II87xbkRSXfuqpr7DwwtvHCIZj6LUi08yVKhQeuhhhJJYkmcg8wYIgfFCfOzQQEEB6ONFf3mKjbN//Eus7haTWsvTGT/CjBjcFJi2hSJxnXjrENXPL2LDVAEAg3Mvs+vSY+2QyXeYH5xdeM7eCn649wKLpJZiNGsrs+kGpSAFCkThnplLJskQ8PrStRyJRvLs2EHf3cHTxVwYCgjN2HOrh3psnDwQFT7/SzOMf/TKa7v2EVVaOJ6ws8ge50N2DrDch66cP+9pwD3pURdUojOk5bDFXD443nh30eqBxC+aFH0I3KfPFS4XsEv2uoygcidPnCvF/7x7nD2820XCkF38oRmyYP+yRUCplItE4v371MO/v7+KVLc386d3jKOXMx3CnTCWARCoRGwgI5NIpRJTmC7/xIgw6LdWlQ58KlNn1GZULUKqLUW4fPKp48RQrhSoxpwDS411tZi3JWITg0e3oasb2RKxQqtHVzMZy9WqifW30b/gpiaDnkt+vUSupLTPTcKR3FGsp5Lo59XbOnWt+y6JKFPLoTHIXrlx6jXJQW7tupo2SpheJ9Z0C0kNkAm/+L3fNUNLrDNLrDNLpCCDLCqLxJIFwHK1aZtUNddSUW1g8ozg9aeAD1EoFfe4wG7ad4vk3m+joCww7tFhxuiJHmp0su2rwgl+SBFdVSsRPz9UzqYYm1ygrNNDrOnstDEXi7GmP8+U3VHx1nZ8fvtJOT/zyr+/qkjoKbv0Ykpx+YCObC7Hf/ihqS3oMQDIWJhUdurZBUsz5y0mip2AUlRcZkBUSiQ9E7rcsqkKrySwWi8UTvLTx5KBt3kCUfk/4PO+4dEFdCcqbP0Nq669JRoLIhdXI1z1CUs7sCa1WreTOa2s4cKKf4OknfjVlZmrKMgs2AIxylL+7QWZzZxGHOmMsqdWw2OZBFmONAehyBLCaNASadqIsKEM2ZLLixOVTaHSY5t5C+NQB+l59GtutH0ddcGlrdsystbNxdzs3zM9s9WshfxWaVfx/985h26FuItEES2aWMrncBGSW4lkQzqVWy9x5XS3rN6fH3s+tVJPY2TRoH6l8BklTCZUlTow6FeVFRrQqmTXLphCPp5hUbuZHz+/FdzqDkVGvxmbW4vSmr9OyLLFoejEzamxE40kKjOl1C55/8+xx5k8toq3HD8CU6gKOt7v5xF0z2XW4B7VSwU3zyykL7yGsUEIyTqXGz/ypdvY2pYcgKWUFd1xTwy/+3DhQZkWREYcnPCgFazhx+ddKpcGMeeGdaKtmEvW50BVWoC462/uvNBeiqZxOpP3swqWSUo3KJtYsyEUiKBhFeo3MX354Lm/vasPlC7N0VimLppeQaaZMo15NbJgu82Qq84tjLJEkWLIQ3co6pFiIsNZKMKGmRsos4AiEY+w+0sMXHlyAyxtBliUMOhUdXS5m1WWWjSmgKqDM3Med7e+wvARUMRld4U2EZHNGC65NFO29PmxGFYHGLZgWLBvXukiShK5mLgqdGeebv6DgpgfRFNdc9H2z6uy8urUFbyCK2ZDZpHchP20/3M+0SVbuvaGGZDKFQlbw0uZm/vKeWeNdNWGC0ShlfIEof3XfPJzeEFWVWuRjJSROP5GXlGpaa+7he787u9CYVi3zV/fP5em1B1HJEmtunzYQEACs23SST66cRbcjQFuPj6oSIy5vhOc2nL1Z/sw9s/nsfXPpdQaxmjQUmDQ0tbopteupLTdzssPD69tPMaPGTjia4Acv7OPjy6dRcu2XiUZjbD0U467r6rlpQTWBcIzqUiNuXwSzQY3DE6a23Myd19by9EsHBo5pNWkoNWQ2ekHWaNBVTqOxoYFFRYOHA8taA0V3/iWOd54jdKwBVWElhSseQ1VYmdExhdEhgoJRdLzDi8Mb4r6bJ5OSIBCK8bOXD/KFBzObGCcBty+p5qWNJwa2adVyVuYUVCkcHA1ZOdQeR1aqkVJh5k6S0aXOzcA8QokYOw73snZTM+WFBsLRBE5vmAdurL74ey8ikpLxKMsxzPwQekUcX0KFT1GANiWaN0Bbj585BgdKaxFKU25MvdaU1KBQqnFt/B3W6x9AWzb5gvvrNOlVvN/ccYoP3yImHF+JJpVb+Jdf7CJFOrhMJlM8ds9s4imxfoWQXWVFRmbV2fnxi/vQqGXWSvBfH/0k4Vf+H6l4FKluCS82eAe9JxxN0NzpRa1MP3X3BqKDXo/Fk6x97wSP319NsiKJL9LDq1vbB+3z05cP8ZFlU3lp4wlWXl/HcxuOoNMomTeliO7+AFfNLKWx2cmBE+nJvZIEtgIj//a7YwNl9HiP8G+fuwGdRsmuwz385E8HuHFBJWaDmm5HgEA4xpIZRew97mR6hYH75ymxqYYO78kmdVEVJff8PYmgG4VaLyYY5zBx1zSKygqN/PLPh3np3bNDfe69eTI6TWZfezASx+0L85FlU9nX1IfNomVmrY1+T+Z/2AqFRH1oP6XVFYQUeqzRHpT+NpTlizMq16BMsmxOAet3xVlSb8AfSbLpUIyZlZnPKeh2BHlndx8rrionFoujkmV+u6GVv1ihJpMF1yaKjl4fV6l2oLvqxvGuyiAqeznGOTfj3vwC1uvuR1t+4Zv9q2eX8vs3mlh1Qx0qpRhHfqU51enh0VWz2X20l0gswaLpxZxo93DNnJFntBKEC5EVErdeVUV9pZVeZxC7VYel1IT90X8n5uoiqi8mdvL4kPclkykUColgOI7FqEGhkAZN/F212I7G00bgjf8huPRvhn1/KpkikUzR3uujrtzC4RYnG3eng4dAOM7fP7SQN3ecQqOS+dDVk/jlnw8PKmPZVVUD9xhqlYJgOM6GrS0Dr2/Z18n37rfxQLETpbMBTYca1YK/zsbXdkEKtQaFWvyt5joRFIwis17F3zwwj7cb2nB5IyydVcq8KYXIGU4ILrXpUUgK1m06yfRJBXT1B9h2sIunHrsm4zqri6qJe3rRu46jS6VAUqCunDooBdnlUKi13DbTwG0Frfgb/oRCo+cTDz+AlIUHBladxPuNDt5vdAxs06plTBox1tjjjxAKRbCV2VEacy9AUhWUYpx7C+4tf8Ryzb3oKofPcAFQWWyixKbnz1uaueemC/csCBNPXYWVf3tuF1OrC1ArZX772lE+fud0tLL4OxeyTy1LTNL5qDQ5kHVW1EoTUlEl6qJKDMD9N8b4zz+eHT6klCWsJu3AnLkNW1v4+zXzeGPHKVyBOHfMMTIrthfZnd7flnRgNhgG9SgUFejwBdM/7znay//34bl09PkH9ikwaVCnwnyuuhHiYWLtx1h9w/X8ekN6/YR7bqzn+g/Mu6ouMTOn3s6BE2evjR++pZ6SoiSxsIy65la0ldNHPRudkD9EUDCKEskkxQVaVl5XSyKRQq+VicYTwy6pPhJqlZLVN9URTybZvK8Tm1nD3310ITNrCzKus6zVY5i2lFh/B4lICKXZhjoLE4IUKjVybxPOd58DIOFz4Hz5/1Gy5msZl11ulnnw+lJ+v7kbSHepfuZDlZRYMvueJ4ITJ9opktzoJ88f76qcl8pagnHebXi2vgRL7kI3ac55911+9SR++vJBrplTTokt814mIX9UFyj49N2z+f0bR4lEE9x9Yx1zJlkwGEQ7ELIrlUoROLKN3rU/gGQcJAX25Z/GPP/WgSw7S+ZU8GWVzCs72rEZ1Sy7qorfvH70A2UkKfYf5TPmbaSKTKQO7sa4+E4C+98GQNvyPl978HP8dEMzxzp8zKw28Yk7ptPc0snsOhvTyrRo5PSTf7VKRlYoaGx2YDAaMRdei6SQURdWUqU3sWRWGYlkCrtFN5CtCNLzBb7w0YU0nnTS2uNl+iQb02sKMBk0UHf+86xw5RJBwSiqLjGz83APx9tdGHVq/MEYty2pRqvOPNd6XYWVz6+Zz0dum0o45GdaXXkWapymUGnQlGW+0vAHxQMefHvfHLI9fOoghskLMyrbVFzGnfP8zC5V4ArEKLZoqCrRobGJrsp9GzdSYtUg63J7DKfKUoRpwe14dr5CIhTA+IEVMz+ouEDPjfMr+PbPt/Pdv7lerFtwBTG2vc9VRZOZ+RfzSUoSuqgTXfNrpMrvA40IDITsibm66Vv/43RAAOnFyF77Kdqq6WiKJwFgMuq4YXEt1y6YhCRJ9P7ff/CX0yrpmZ2eQFum8mE3SHj9/ST7mrEsvZvUpEVEVaVIER+GyknEXvoan6+9iti8elR9u0m9/HOuuXo18037iXf2E5vx9/zpvV5au33ICok1t09lyiQ7et3gB3U2y+CU3B9UXKCneJH4+xAujQgKRpHZqOHGBZVMrrQQiSUptekxG7P39FqjUjKpzExDwzEge0HBaEjGoiiGuTFVqDOfHC0pVVgnTcFg6iYR9iPrLahsl5bqciILnthDU0+MKbNqxrsql0RpsmFefAe+PW+S8DsxL1qOJA2dO3Dd3HIcnjCP/+9WvvGppViy+Dcl5K5UNER4/b9jnrYESakmeGwnsaJJJGNRZBEUCFmUDHpIxc7JuJdKkvC74HRQcMaZ1NdKkw3Fzhf44O16dPGdlH/iX0glYihPL+alLqokHE6gcTVBLEKyaTMymzmT/0dbNgVt+VRkgxmVrYJ/+Ww1Pc4gQb+HWVOrUSlFqm1h9IjWNcpUSgWTyixMrS7IakCQb5QmK+YFt4N0tskp9GbUpcMvrT5SkqxCXVSFrmoGans5knRlN+1EyEfP+h9zMlFKbXH+3DDJOhPmq+4g2teG481fkgj7h+wjSRKrbqijrNDA3/6/d9lzVCxqdiXQVk5DUsj4D2zEt+cNEkE/xrm3IGc430kQziWbbEMeYkmyCqX5/OmzjbNvRFKdfcglKdWY5tyIrDMOBAQARp2awgIdKrN9YCjSwHvUOlQFJejr5qEpqUWhUmMxaphaXUAi5BABgTDqRE+BMCYUsgpVUTX25Y8Sd/chyUqUBWWobLndw5GPUqkkvWv/i27rPIxuJSZdfmXqUai0mObfRujkPvrW/zeWq1cPmYCskCQ+tHQSNWVm/vP3e5hcaeHhFTOoqxArU0xUKns59mWfIObqJpWIo7SWoCqsQKEQN0pCdqksxRTf+/f0vvR9kkEvkkZP0aq/QWU///VKWz6Z8k/8M5GO9OJjmoopaEpqz38MWxlFd3+OvnU/Sqc5VWspvucLYlEvYVyJoEAYM9qyOmS9iZizi3gS9OV1KEXWg6xKpVI4Xv85iYCH/eprmVqWn5lZJIWMfvJCVPZyPDvWEzqxB/PiFSgNgyfTT60u4G/XzGf7oW4ef/p9qopN3HNTPVfNLB004U7If2p7BQqdCWVfO9FoGH1JNaoLPLkVhEzoa+dS8ei/kfC7kPVmVJew+rqmpAZNSc0llS8pZAwzrkFdUkMi4EY22i7pGIIwmsQjFmFMqSxF6GvncswdEwFBlqWSCRyv/5zQyX0Yr32A944GmVt1/glo+UBVUIr16tVIKi396/8H9/Z1xH3OwfsoZa6fV8EXH1rEzFobv3zlMJ/97lts3N0+KEe4kP+UejO6STM57k2JgEAYdSpLEdqKqaN2sy5JCtT2CnTVs1DbypAk8SBDGF+ip0AQJoCYp5e+dT8iGQlju+0RXm2MUGpRUmTO/+w8kqxEXz8fbeU0Qq2H6H/1Jyht5ejr5qOpmDowyVQpK5g/tZh5U4o43u7m+bea+OPbx/jU3bOYP7V4nD+FIAiCIOQ2ERQIQp5KpVJEe5rx7nmTwKHNGGZcjWHmdRztjvLiDhefuNE+3lXMKoVGh2HKYvR184j2thI8vhvPjvXIxgLUhRUoraUoTTZkg5m6QiP1q2Zw6JSHHzy/l0KLjvtumcyiGSUoZQWpVIpUPEoy5CcR8pHwu1B3HMAdaSUecJMIekiGg6SiYVKpJJIkIckqFFoDss6EbLIhG60oTXZkYwFKYwEKnRFJkV/zNwRBEAThjCsyKEil0kMKotHosK9HIpGxrE5WiDqPjfPVWa1WX1bX74XaYiqZJHjgHeLOLlKJGKlYhGTYT8LvSm87nTJPWVhFf90Kft2k5+iWZjwRiaurUji7e3B2j7hKl8Xr9RMKt4/NwQDQgH4K6CaTCHlJdnlJthwgGQlCKjloz2uROOYv49vPpocd6aQI5bILmyKAToqikhKYFSGuMbXhNZmRNHoUah2SWouktyApFJBKkUrEiYeDxLwOkqcOkQz7SYZ8kExcWpUVcjpokJVISjWSUoWk1CCpNShU2vQ2lQZkVfo1WXn2PZIEkmKgjWlq5qI5z+rPkUhkVNpjrsnH80e25cN3kA9tMR++R8iPeuZ6HS+3PeaK73//+/z+979HqVTyhz/8gdtuu41Dhw6hVGbndl5KnfnLu4L4fD6amprGuxrCBDJ79mw0mpGnnL1QW5QiAazv/Nd535vUmkhqzYDEm65JvOpKp3ctUfnRKeIjrsvElIJUijOXAG9CgyNhGHbPL1Vuo1QdzOBQKaR4GCkRhUQMKZlIBwypJNm+BEVLpxOY/+Hzvj4a7VEQLodoi0Iuudz2mAs6OztZsWIF77zzDna7nfb29qwHBVdkT4HBYGDq1KmoVKq8jhiF3KFWqy/rfRdti4t+e0nlfOr0PyETK8a7Alkzau1REEZItEUhl1xuexxv8Xiczs5OrFYrdvvoDQ2+IoMChUKByTR0dV1BGGuiLQq5RLRHIVeItijkiqeffpqDBw/ygx/8YGDbt7/9bQBmzJjBT3/6U7q7u7HZbDz22GM8+OCDAGzfvp0vfelLPPTQQzz77LMYDAa+8IUvcPfddwPp3rBvfetbvPfee+h0Oh544AH+8i//EoVCwZ/+9Ceef/555s6dy9q1a6mrq+PQoUNEo1EWLFjA8uXL+Zu/+ZuB+rz66qs888wz/OlPfxrY9uyzz7Jjxw7+53/+55I/q0hJKgiCIAiCIAjDuOuuu9i4cSN+vx+ARCLBhg0bWLlyJXa7nf/93/9l9+7dfOc73+E73/kOhw4dGnhvf38/LpeLTZs28a//+q88/vjjnDx5EoBvfetb+Hw+3nzzTX7961+zdu1aXnzxxYH37t+/n6qqKrZs2cKzzz7LM888Q3FxMXv27OFf//VfB9Xxtttuo729nRMnTgxsW7t2Lffcc8+IPqsICgRBEARBEARhGBUVFcycOZM333wTgG3btqHVapk/fz4333wz1dXVSJLEkiVLuO6669i1a9eg9//t3/4tarWaJUuWcNNNN/Hqq6+SSCR45ZVX+OIXv4jRaKSyspJPfvKTvPzyywPvKy4u5uMf/zhKpRKtVnvBOqrVau64446B9x87doyOjg5uueWWEX3WKzIoSKVSRCIRrsA51kKOEW1RyCWiPQq5QrRFIZesXLmS9evXA7B+/XpWrlwJwMaNG/nIRz7CkiVLWLx4Me+99x4ul2vgfWazGb1eP/BzeXk5vb29uFwuYrEY5eXlg17r6ekZ+Lm0dGSL5t17772sW7eOVCrF2rVrueOOO0Y8h+KKDAqi0SgHDx4cNtXZB7t98oWo89gYjTpfqC3mk3z8fZ5LfIb8aY8T4XeVqYn+HYxVW8yX7zEf6pkPdbxcd9xxBzt27KC7u5s33niDVatWEY1G+fznP8+jjz7Kli1b2LVrFzfeeOOgQNbr9RIMns1q19XVRXFxMQUFBahUKjo7Owe9VlJSMvDzSCfYz58/H5VKxa5du1i/fv3A3IWRuCKDggsJh8PjXYURE3UeG/lY57EyEb4b8Rnyx5XyOS9EfAfZkS/fYz7UMx/qeLlsNhtLlizhn/7pn6isrKS+vp5oNEo0GsVms6FUKtm4cSNbtmwZ8t4f/vCHRKNRdu3axbvvvsuKFSuQZZkVK1bw/e9/H7/fT0dHB88+++xl3ch/0D333MM3v/lNlEolixcvHvH7RVAgCIIgCIIgCBewcuVK3n///YGhQ0ajka9//et84Qtf4KqrrmL9+vXceuutg95TWFiI2Wzmhhtu4B/+4R948sknqa9Pryn0jW98A51Ox7Jly3jooYdYuXIl9913X0Z1XL16NceOHbvs4CLnUpJ+97vf5bXXXqOjo4N169YxderUIfskEgm+/e1vs2nTJiRJ4jOf+QwPPPDAONQ2N8yePXu8qzBic+bMGe8qCFk0d+7c8a6CIAjCiH1wvHcuy4frfD7UMRP33HPPkGw+Dz/8MA8//PAF3/fZz36Wz372s0O2WywWvve97w37ng9/+MN8+MODF6hcunQp77333sDPlZWVHD16dNA+NpsNnU43cYKC2267jUceeeSCX/K6detobW3l9ddfx+12c88993DNNddQWVk5hjW9NHubenl/fyf97hDXzCmnrtxCfZU143KPt7k42eFh68Euigv0XDu3jHlTijOvMNDXfJzosW2kHK3I9UugbAZlVRUZl9va7aS5M8imvR0Y9SpumF/BjGpTVk7Kh5v72XWkj2NtLuZOLmJenZUpNUUZl3slSyUThNuP0pm0448pOHC8n+PtbhZOK6bUbuBoq5Ppk2w0Njsos+upsavRBLvA20ezVMnmowGWzColGkuy43A39RVW5k4upOFIN5NKLTQc7UGllLlmdhkWo4pAKE5bj599x/uor7Qyq9ZOJBJnW2M3qVSKG+ZV0Nzp4Xi7h3lTCtGrJZQqJVv2dVNo1bJoegmNLU66+v189FobUus+pK5DqGoWYJy2GL19ZJO2siXS04K/cQuxvjaMs29AVzMHWW8el7oIwpUoHk9y4EQ/7+5uIxRJcPPCSkpset7b20F7j49box1UFBvZ2dhDY7OTq2eXMn2SjUPNDnY29jB3ciGz6mwca3Ozs7GHiiIjV88upSR6iujBt0FnQT9/Ocmgm/ChjUAK/ayb6ZbLeGt3Jy5fhJsWVmA369h+qJvWbi9XzSylvtLCnqO9HGlxMaveztIpVg6fcrL9iJNpFQaWzK7gRHeArQe6KLLquGlhJR5/lI2721GrZG5aWIFKqeDtnW2EounPZdKr2LK/ix5ngKtnl1FTamJbYw8n2t3Mn1rErJoCDpxwsP+Eg+nVBSyaVoil/wDx49uQbJWop17DSZ+O13d1YNarWb60guJoJ8FDG5FIYVy4gpaolff2duHyRbhxfjnzCqMEm7ZDfwuK+qVQOoN3Dvs40uJkVp2deVMKOXLKxe6jvdSWWVg6uxSPP8LbDe2U2Q3ctKCC+krreDeTCeF3v/sdc+bMoaam5rLen3NBwaWMgXrllVd44IEHUCgU2Gw2li1bxoYNG/j0pz89BjW8dAeO9/GdX+4kGI4DsPNwL4+umpWVoGBPUx+/euXwwM8b93Tw9U8uYXZ9YUbl9rWeIvDyd0n6nekNJxvQXHUPAduHMRgMGZXd1Orjv/6wd+Dn9/Z08PVHl7JwWmZBQUuHgx/9cT+t3T4A9hzt45o5pTy2UklRYUFGZV/Jwu1NODs7cVvtPP3SPjr7AgA0HOnlxvkV3Liwkl/8uRG7RcuiOhOh3jY0e37BrppH+cU7J5lSZeXACQfv7m4H0r+X9/d3cv+tU/jB83sHjrN5bwdffHgR2w52s/ED+24t6uL+WyfzbkN623t7Onh01Sx2NHZz6KSDNbdP5WfP7xko582dbXz4lsncOsdGYuNPSXY1ARBp3kusdT+ae7+ArBnbp4JRRwddv3mSZCjdNoPHdmJb9hdYl64a03oIwpXswIl+vvmzbcQT6QmgWw908eiqWbz83gniiRSFVh3PvXqY9tPnuF2He7hpYQU9ziBHWlysvLaazfu6+L93jwPpc+B7ezv46scXoDm2HQDtlCV4X/xnIH2M6OHNpG75O17f3g/Aqutr+ffnGnB60+PuTQYN7za0c7Q1nanGZlLxisPLqzvSE09PdPhIyhp+/0b6PKZQSJQXGfnZy2cn827a28En7prB26fPkZNKTazf3Iw/FDv9OXp54LYpvL2zDac3jITEoRMOdjSmM9zsOdrH9kPd/O31SjjZACcbiB/eSPXqr7HjUDcAH5kD7rX/AqkkAM6ZD/CtX+4iEk0AMK9MwrPlZyR9jnSlTu5Gs3g1Chazp6kPfyhGlyPAWzvbBo75/oFOrppZyrYDXQC8tq2Ff/vcDUwqFQ9LMnHrrbeSSqX47//+78suIy/nFHR1dQ1K41RWVkZ3d/c41mh4p7p9AwHBGS9tPMHJTndG5Z5od/PSxhODtgVCsYGb4kwkHG1nA4LTorv/TMDRl1G5XX1e1m1uHrQtFk/S2OzIqFyA9r7QkM++9UA3nc7czqCS6/wH3yNYNp8+V2ggIDjjZIcbpyf9vc+uL8ThjWDuP0h88s28sDXdVhZMK+a9vR2D3ldUoOetna2DtsUTKY60ODl4on/Q9o4+Px/MRphKwf7j/dRXWFk6u5R1m04O2j8UiROPJylIugYCgjMiJxoI9w2uy1iI9rQMBARnuDY9T9ybebsXBOHSNBzpGQgIzth2sGvgIZrFqBkICM7YtKeD+VPSvc0GvYZXtgy+frl9Edr60zf45sV3EW5M9xCclcLU9j71FRYA+tzhgYAAoLzQMBAQAFw7q5DXdp7NRHP17FJe23Zq4OeZtTa2Hxp8n5NIpjjV7aeoQAeks9WcCQjO2LC1hevmpu+Xpk4qGAgIzjjZ6aVbPns/lQi4kVzpIGPpzFLiTZsGAgLZaKWpwz8QEADUar1nA4LTonte4aap6TotmFbMO6eDljO6HUGMOtXAz8FwnJPtHiaac4f7jLa3336bd955h5kzZ152GTnXUzCWDh48OOz2hoaGrJSfTFmHbEulUqSSqYyOYSmuO+9rmda9YpgwMUUKUpmVXT5pyrD5plPJFF6vl2PHjl122SlFyfDbM6zzcIYrb9GiRRmXe762OF60Wi32eBw4T0o0SRq4/ElAuokkh9meOvdtJIdpB8nk8LnIz92aSqXLAGnIa2cPN3xZoWCQIxdpD9luL9WEhm5Mpejp6ab7WEtWj5VNudYeP8jlj7O50Ud7/1YqC0eWg3uiyXZ7zbZcODfqdDoSw5xfkqnUwNlt2HPJuT8Pd/06vU1SKIac6wZKkc7//gseUBp8jpOQzlPGhT9HMsV5T+NnizhP3RQgnfPapawakfrAXsNdB4YTDodHvT1noz1OdHkZFJSVldHZ2TkwufHcnoNLNXv2bDQazaBtDQ0NWWs4qmN96DRKQpGzvQV331hPfWUBVGZ2jFU31PKbDWcnmOi1SqpKTMyZXJtRub2tp5ANVhIB98A2zbwVaAsKWDSpJqOy77qulh+9sG/gZ6WsYGadHbPZnNF33tLhoLLYSHuvf2DbkpkllBeoKZ6WvZNANtvGuYZri+MtZIR4z34KrTMotevpdpzNtVxdasJu0VJZbOTQSQfTr6/Al5iDdc+vuO/qv+DX73azp6mP6+ZVsOkDvQU9zgD33TKFwy1nn5ApFBIzau24fBE27zv7pKzMbkBWDL6azZ1cyLPrD9HtCHD/rVN4dn3jwGsatYxapcCtsGEvmUyy5/jAa+qaeRRUT6ZQe/4hcKPx+432dxDQGkmGz7bNguvvwzJ5JhUjzEF9KbJ1Uc3F9gjpG6u//8+NpOJxnt/i5mdfux2tJi8vYxkbzfNRLslGWwwrenjl/ZZBDx+unlXGcxvSQ3D9weiQc9x1c8vZfzzdexmNxLjj2hrWvne2d9JiVFNZmH4a7tmxDtOHv0r0yBY+eNvsq7yGkzvTPe+FVh1Wkwa3LwKkn5ZPrrJyvM0NwI7DDm5bWMobDenegG0Hu7h9STUvvJV+YNbY7OATd83k4MmzT+UVConqEtPA0BwAg1ZJ4AMjFJZfPWlgWObxtvScsN1Hewdery41UZI823ug0JtJFVQCLrYf7OZTn7weDm8CUiT8bqZWGNGoZCKxdG/BqbCJOYYCkoGz53TNvBVsPp7uFdnT1MeNCysHhoECFBfoCIbP9mjoNEpm1JdQUzYFYXzl5dl0xYoVvPDCC3zoQx/C7Xbz5ptv8pvf/Ga8qzXE3ClFfPUvrmLj7g563UFumF/B5NNdiZlaPL0Ui1HD5n2dlNj03LSgkjmTM5tPAFBcPYn+1f9I5MgWcDSjmHwtVM7GbM683tMnmfn7hxbwbkM7JoOamxdWMnNS5mMIayrsfO6Beexo7OHoKRfzpxaxYLKN4mIxnyAT2sqp2IFQSsFf3z+PfU19HG1zcdWMEiqKTBxucfDoqlkcON5PtyfBpOIqpOsfZYm3F/vdtbxz2MfcyXamVRew7VAX9RUWFkwrpqGxh7+5fx47GrtRq2Sun1eO1ajm5kWV1JZb2NPUy5RKK/OmFBGMxLh+XjnJZJJbFldxot3D/KlFLJpWjEEr83cPzufdPR2UFOhZOruMQycdbNjj4i9u+QyplgakzgOoahdhmr4U+QIBwWhRF1ZQ9vCT+A68S7S3FdO8W9DVzhvxojRC2uEWJ95AlBULjOw5BW/tauOu6zJ7ECJMfLMnF/H4p5by5o42wtEYy66qpsSmx+mtpbXby8waG7cvmcT2Q10cPNHPdfMqmFlrY/+xfhQKiaPtXm5cUEGJTc/WA91UlRi5fl45RZFWYrULSOmtKEyFmO/7GuEDb0EqiX7e7YSV5dy0sB2PL0IgGOPLH1vMlv2dtHb7qK+0sOKaSTQc7qWx2YHNZuDa6QXUl5vY0uhkeqWBa2cWUmzTs2lvB8VWPVOrrHzlkcW8vbMVlUrm9quqUSnT59BwNM6kUhNf/eQSNu5up9sZ5Pq55dSUW0glUxxrdzOz1sacejszawrYe6yf6TUFLJ1ZjL53L8lJs0nZa9BOu45jAR0LphVhNqjx6Kspuu9rhE5/rklaH1//5GLeaejA5YtgLC7DMusrBA+/D/0nUUy+BspnEz7kY3adnTmTC1kwtYiaMjO7DvdQV27hunnluHxhWrt9VBQZufWqamrKxHyCXCClcmwN8W9/+9u8/vrr9Pf3U1BQgNVq5c9//jOPPfYYn//855kzZw6JRIJvfvObA4tEPPbYY6xZs+aSjxGJRDh48OCo9xSMlWg0OuKlrMdbLBZDpVJdfMccMhpt40JtMZ/E43GUyrx8xjAgH//2z5XpZ8j19viTP+0nFk9QZgySUBWyt6mP7/z19eNdrXExEdrrhYxVWzxy5AjTp08ftfKzJR+u8/lQR+HCcu4q/vWvf52vf/3rQ7Y/88wzA/+XZZmnnnpqLKuV0w4cOJB3F4f9+/fnXZ2F89u3b5/4fQqjruFID/ffOgWfM8jkSit/fPsYwXAMvTa/HjAIuSMQCFx8pxyQD9f5fKijcGF5mX1IEARBuLI4PCH8wRhl9vQwMLVKpqLIyJFTrou8c2JJJFP86IW9/PyNXly+8MXfIAjChNTc3MyaNWtYvnw5a9asoaWlJeMyRVAgCIIg5Lwjp1xUl5oGzceoLDZyOAtpjfPJ5r0dHDrpwKST+d8/HRjv6giCME6eeOIJHnroIV577TUeeughHn/88YzLFEGBIAiCkPOOtDgpLzIO2lZdYuJwi/M875iYXtp4glsWVTG3Vseept5Bue8FQcgt7za08ei3X+fuL67l0W+/zrsNbRd/0yVwOBw0NjaycuVKAFauXEljYyNOZ2bnQxEUCIIgCDnvRLubisLBGaRKCw20dHnHqUZjz+EJ0dXvZ2qVFbVSwdTqAnY25t7CnYIgpAOCH72wjz5XiBTQ5wrxoxf2ZSUw6OrqoqSkBFmWgfRc2+LiYrq6ujIqVwQFgiAIQs471e2j1D44KLAaNcRiyYHc7xNdw5FeplQXIMvpS/eUKuuQVW4FQcgNv3r18MB6DmdEYgl+9erhcarRxYmgQBAEQchpbl+EeCKJ2TA43aEkSZQVGmjp8oxTzcbWwRP9TCo9m8+9rtzC4WbnxVfLFQRhzPW7hlnR/gLbR6KsrIyenh4SiXTQkUgk6O3tpaysLKNyRVAgCIIg5LTWHi+ldsOwi74VWnWDVjOfyBqbnYMWebIYNahVCjr78yOtpiBcSQoLdCPaPhJ2u50ZM2awfv16ANavX8+MGTOw2WwZlSuCAkEQBCGndfT6KbSc5wJr1dHa4xvjGo09fzCK2x+h6JwbiqoSE0evsLSsgpAPHrljBhqVPGibRiXzyB0zslL+k08+yXPPPcfy5ct57rnnsrJ+V84tXiYIgiAIH9TW68du0Q77WpFVx67DPWNco7F3stNDeaEBxTm9JaU2Ayc63Ny6uGqcaiYIwnBuXpT+m/zVq4fpd4UoLNDxyB0zBrZnqr6+nhdeeCErZZ0hggJBEAQhp7X1+JhTXzjsa0VWHR19E3/40MkO75CJ1gCldgO7j078oEgQ8tHNi6qyFgSMBTF8SBAEQchpXf2B8/YUWIwafMHYkCwfE01zp4cSm37I9rJC/RWVllUQhNEjggJBEAQhZyWSKRyeEAWm4YMChULCZtbQ45jYk23benwUFwwNCkx6NfFECo//ykjLKgjC6BFBgSAIgpCz+t0hjHo1KuX5L1d2i45uR3AMazW2UqkU7b1+iofJWiJJEsW2K2MIlSAIo0sEBYIgCELO6nYEKDzP0KEzrCbNhE7L6fJFUMoSeq1q2NcLLTraekRQIAhCZkRQIAiCIOSsbkcQ63mGDp1RYNLQ45y4QUFHn58i6/lzm6eDgomfllUQhNElggJBEAQhZ/U6A1iM6gvuYzVqJvTwoa7+AAUX6C2xWbR09oueAkG4knz3u9/l1ltvZdq0aTQ1NWWlTBEUCIIgCDmr2xmkwHiRngKzlj7XxA0KOvr82C7QW2K3aOmawMOnBEEY6rbbbuM3v/kNFRUVWStTrFMgCIIg5KweZ5CpVQUX3KfApKHPHRqjGo29jl4/NWXm875uN2vpdQVJpVJI5yxuJgjC+PEdfA/XO78h7nWgNNspuOVhTLNvzErZixcvzko5HyR6CgRBEISc1ecKUWDSXHAfnUZJIpEiEIqNUa3GVo8zeN51GgA0aiUalYzTGx7DWgmCcCG+g+/R/+efEPf2Ayni3n76//wTfAffG++qnZcICgRBEISclEgk8fgjmA0XnlMgSRIFZg39E7S3oNcVPO86DWfYLFp6nBN3CJUg5BvXO78hFR+8fkgqHsH1zm/GqUYXl3NBQXNzM2vWrGH58uWsWbOGlpaWIfs4HA4+85nPsGrVKu644w6efPJJ4vH42FdWEARBGDUObxijXoUsX/xSZTFOzCFE/lCMRCKFXnvh0b4FJi29IigQhJwR9zpGtD0X5FxQ8MQTT/DQQw/x2muv8dBDD/H4448P2ecnP/kJ9fX1rFu3jpdffplDhw7x+uuvj0NtBUEQhNHS7w5hvcjQoTMshokZFPQ6g9gs2ovOFbAY1PRM4MnWgpBvlGb7iLbngpwKChwOB42NjaxcuRKAlStX0tjYiNPpHLSfJEkEAgGSySTRaJRYLEZJScl4VFkQBEEYJQ53GIvh0oICk0FF/wS8Ke5xBi86pwLAahIZiAQhlxTc8jCScvDfrqTUUHDLw1kp/9vf/jY33ngj3d3dfPKTn+Suu+7KuMycyj7U1dVFSUkJsiwDIMsyxcXFdHV1YbPZBvb7q7/6Kz73uc9x/fXXEwqFePjhh1m0aNF4VVsQBEEYBX3u0EXnE5xhNWom5Jj6PlcQi/HiQUGBScOJdvfoV0gQhEtyJsvQaGUf+vrXv87Xv/71rJR1Rk4FBZdqw4YNTJs2jV/+8pcEAgEee+wxNmzYwIoVK0ZUzsGDB4fd3tDQkI1qjilR57ExXJ2zEZCery3mk3z8fZ5rInyGbMiV9nioyUUyBUebjg557dxtXleUlo7whPsdHjjiJpZIXvQ78ATidPT6curz58u5MZe+swvJh3rmch3H4+GxafaNWQsCxkJOBQVlZWX09PSQSCSQZZlEIkFvby9lZWWD9nvuuef4l3/5FxQKBSaTiVtvvZXt27ePOCiYPXs2Gs3gJzANDQ151+sg6jw2RrPOw7XFfJKPv89zTZTPkA250h5f3bedyeUWpk0uHLT9aNNRpk2dNmhbgSvIwbamvP8dnmvD/u1MqTYzbXLRoO3nfgfRWII/79rBwoULJ9RaBaPdFvPl7z4f6pkPdRQuLKfmFNjtdmbMmMH69esBWL9+PTNmzBg0dAigsrKS995L53mNRqNs3bqVKVOmjHl9BUEQhNHj8ISwXOLwIbNBjdMbJpVKjXKtxlavK4T1Iis6A6hVMmqlAm8gOga1EgRhIsqpoADgySef5LnnnmP58uU899xzPPXUUwA89thjHDhwAICvfvWrNDQ0sGrVKu655x5qamr4yEc+Mp7VFgRBELLM6Y1gNl5aUKBVK5EkCIQnVnrqfncIyyV+BwVmLX2uiZeBSRCEsZFTw4cA6uvreeGFF4Zsf+aZZwb+X11dzbPPPjuW1RIEQRDGUCKZwuOPYNJf2g0xpNcqcLhDGHWqUazZ2InFkwRCsUv+DixGNX3uIJOrrKNbMUEQJqSc6ykQBEEQBLcvjF6rRHkJC5edYTGocXjDo1irseXwpHsJFIpLmyNgNmhweCbO5xcEYWyJoEAQBEHIOU5v+JJScX6Q0aDGOYFuih2ekX0HJr1aDB8SBOGyiaBAEARByDlOT/iS1yg4w6RT4ZxAPQV97tCIggKLQU2ve+Kt1SAIwtgQQYEgCIKQc5zeMEbdCIMCvZp+z8R5Uj7S+RFmo5p+98QJigRBGFsiKBAEQRByjsMTxqgf2YRhs0GNwz1xgoKRrOgMYDFoJtTnFwRhbImgQBAEQcg5/SNYo+AM8wSbaNzvDmE2XPrwIbNBjcsXmXBrNQiCMDZEUCAIgiDkHIcnPKJ0pJAePuTyRkapRmNvJIu3gVjATBCEzIigQBAEQcg5Tm8Y0wh7Cox6NR5/hGRyYjwpd3ojI55sbTFpJtRka0EQxo4ICgRBEISc4/aNbOEyAJVSgVYt4wvm/5PygcXbLmcI1QRKyyoIwtgRQYEgCIKQUxKJ9Eq+l7Mysdk4MZ6Ue/0RdJqRLd4GYNaLoEAQhMsjggJBEAQhp7j9EQw61SWv5PtBJr16QgQFjstYvA3AqFfhmEBpWQVBGDsiKBAEQRByitM78oXLzjDpVbgmQFBwud+BSa+mX6QlFQThMoigQBAEQcgpLu/I5xOcYdSpcE6ADESXk30J0nMKJkJPiSAIY08EBYIgCEJOcXrDmEa4cNkZRt3EuCl2ekIjXrwNRFAgCMLlE0GBIAiCkFOc3jCGy5hkDGAyTIwx9f3uywuMJtpaDYIgjB0RFAiCIAg5xekNY7zM4UMT5abY4RnZasZnGPVqfMEoiURyFGolCMJEJoICQRAEIadc7nh6OB0U+PJ/+IzLF7msngJZIWHQqXD78z8wEgRhbImgQBAEQcgpLl8Y82XOKTDp0zfEqVR+r2qcSQYms2Fi9JYIgjC2RFAgCIIg5BS3L3LZw4fUKhmAUCSezSqNqTOLtxl0l99bIiYbC4IwUiIoEARBEHJGKpXC47+8oTMAkiRhMWhw+fL3SfmZxdvky1i8DdK9JSIoEARhpHIuKGhubmbNmjUsX76cNWvW0NLSMux+r7zyCqtWrWLlypWsWrWK/v7+sa2oIAiCkHX+UAyVUkallC+7jHxfwCyToUMABrGqsSAIl0E53hU41xNPPMFDDz3E6tWrWbt2LY8//ji/+tWvBu1z4MABfvSjH/HLX/6SoqIifD4favXln0AFQRCE3ODK8IYY0hl48rmnIJPF2wBMOjUOT/4GRYIgjI+c6ilwOBw0NjaycuVKAFauXEljYyNOp3PQfr/4xS949NFHKSoqAsBkMqHRjDx1myAIgpBb0ll3MgsKDLr87ilwZLB4G6QnGjvy+PMLgjA+cioo6OrqoqSkBFlOdxvLskxxcTFdXV2D9jtx4gRtbW08/PDD3Hvvvfz4xz/O+0wTgiAIQrqn4HJW8v0gk06V1zfFTk8IQwbfQXqthvz9/IIgjI+cGz50KRKJBEePHuXZZ58lGo3y6U9/mvLycu65554RlXPw4MFhtzc0NGShlmNL1HlsDFfnRYsWZVzu+dpiPsnH3+e5JsJnyIbxbI8HDvuIhqIcbTp6wf0u9LrfF6a7N0lDQ37eGB894UStkjjadOH6n+878IcT9Dn9496e8+XcON7f06XKh3rmch2z0R4nupwKCsrKyujp6SGRSCDLMolEgt7eXsrKygbtV15ezooVK1Cr1ajVam677Tb2798/4qBg9uzZQ4YdNTQ05F3DEXUeG6NZ5+HaYj7Jx9/nuSbKZ8iG8WyPezsOUqWJM21q5Xn3Odp0lGlTp52/EI2Tfcf68/b3uW73VqbU2JhWaz/vPhf6DuKJJC9t3cb8BQsvO4NRrhjttpgvf/f5UM98qKNwYTk1fMhutzNjxgzWr18PwPr165kxYwY2m23QfitXrmTz5s2kUilisRjbtm1j+vTp41FlQRAEIYuc3stfzfgMo16NM49XNc50XoVSVqDTKPEG8neytSAIYy+nggKAJ598kueee47ly5fz3HPP8dRTTwHw2GOPceDAAQDuuusu7HY7d955J/fccw+TJ0/m/vvvH89qC4IgCFng9GQ2yRZOr2qcx9mHshEYiVWNBUEYqZwaPgRQX1/PCy+8MGT7M888M/B/hULBP/3TP/FP//RPY1k1QRAEYZS5/Ze/mvEZBp2aQChGIpnKu+EziWQKXyCa+WRrQ3pV47oKS5ZqJgjCRJdzPQWCIAjClcudhZSkskJCr1Xi8effk3JfIIpWo0QpZ3Z5Nub5Am6CIIy9MQsKYrHYWB1KEARByEOxeJJQJI5em3kndnr4TP7dFLt8mS/eBmDUqvJ6XoUgCGMv60HBJz/5SXp7ewdtO3LkCPfdd1+2DyUIgiBMIG5fBKNehULKfMhPvq5qnI35BJBeq0CsaiwIwkhkPSiYOXMmq1ev5pVXXiGVSvH000/ziU98go9+9KPZPpQgCIIwgaSfkmcn/aRRr8Kdh0/KXRmuZnyGyaDGKYICQRBGIOsTjb/0pS9xyy238OUvf5nvfe97FBcX8/zzzzNp0qRsH0oQBEGYQLJ1Qwynh8/kYfYdpzeCUZeFoECfnmgsCIJwqUZlTkF7ezuBQICCggKCwSCRSP6dmAVBEISx5fJl54YYTq9VkIc3xf2eUMbZlyCdljUf51QIgjB+sh4UfP7zn+cnP/kJzzzzDC+++CJr1qzhYx/7GD/96U+zfShBEARhAnF5wxiyFBSY9CocnlBWyhpLTk92Jhqb9Grc/iipVCoLtRIE4UqQ9aDAZrPx0ksvMXfuXAAefvhh/vCHP/Daa69l+1CCIAjCBOLwhrPylBxOTzTOy+FD2ZlorFbJqJQK/CGR+U8QhEuT9aDgySefRKvVkkwmB7IQ1dbW8vvf/z7bhxIEQRAmEKc3jClLPQVmvRpXPk409kWyNq/CbMjPIVSCIIyPrAcFXq+XL37xi8ydO5cPfehDALz11lv84Ac/yPahBEEQhAnE5Q1jysLQGUgPH3L7I3k1fCaVSmVl8bYz8nWtBkEQxkfWg4InnngCo9HI22+/jUqVftqxYMECXn311WwfShAEQZhAXFm8IdaolUhIhCLxrJQ3FvyhGCqlArVKzkp5Rn1+ZmASBGF8ZD0l6datW9m0aRMqlQrp9AI0NpsNh8OR7UMJgiAIE0QqlcLjz15QAKeflPsi6LXZGY4z2pze7EwyPsOkEz0FgiBcuqz3FJhMJlwu16BtnZ2dFBUVZftQgiAIwgThC8YGJsdmiynPhs9kK/PQGUa9iv48zMAkCML4yHpQ8MADD/D5z3+ebdu2kUwm2bNnD1/5yld48MEHs30oQRAEYYJwZSnrzgelc/Xnz/AZly+734FJr8YhVjUWBOESZX340GOPPYZGo+Gb3/wm8Xicr371qzz44IM88sgj2T6UIAiCMEFke+gMgEGnwplHGYiytZrxGSL7kCAII5H1noLt27dz66238sorr/D6668zZ84cjhw5Qn9/f7YPJQiCIEwQLl8YY5ZScZ5h0qlxuPNn+IzDHcrqd2DS59fwKUEQxlfWg4KnnnoKWU5nTvjud79LIpFAkiS+8Y1vZPtQgiAIwgTh9EYw6bI9fEiNI49uih2eMGaDJmvlnZlonU9pWQVBGD9ZHz7U09NDeXk58XicTZs28c4776BSqbjhhhuyfShBEARhgnB4svuUHMBkUHHkVB4FBd4QcyYXZq08tUpGliUCoVjWVooWBGHiynpPgdFopL+/n507dzJ58mQMBgMA8Xj+5IoWBEEQxpbDMxoTjdV5N6cg2/MqLAZNXvWWCIIwfrLeU/Cxj32M+++/n1gsxle/+lUAdu/eTV1dXbYPJQiCIEwQTm+YWbX2rJaZXtE3P7IPpVczDmPKcm+J2aDG6QkzqdSc1XIFQZh4sh4UfOYzn+H2229HlmWqq6sBKCkp4dvf/vYll9Hc3Mw//uM/4na7sVqtfPe736WmpmbYfU+ePMm9997LQw89xFe+8pVsfARBEARhjKVTkmb3hlinURKLJwlH42jVWb/cZZUvGEOtlFEps7Oa8RkmkYFIEIRLlPXhQwC1tbUDAcGZn6dNm3bJ73/iiSd46KGHeO2113jooYd4/PHHh90vkUjwxBNPsGzZsozrLAiCIIyP9FPy7A+dkSQJizE/eguc3jBmY/bH/Zt0KhEUCIJwSUYlKMiEw+GgsbGRlStXArBy5UoaGxtxOp1D9n366ae5+eabz9uLIAiCIOS+QDiOQiGhGYWn+fmSq9/hCWU189AZJr2avjxKyyoIwvjJuaCgq6uLkpKSgbSmsixTXFxMV1fXoP2OHDnC5s2b+Yu/+ItxqKUgCIKQLQ5PCIsx+zfEcHqycV4EBdlfvA3SQVE+rdUgCML4ye1BlucRi8X4xje+wXe+852B4OFyHDx4cNjtDQ0Nl13meBF1HhvD1XnRokUZl3u+tphP8vH3ea6J8BmyYazb44muMDIxjjYdveT3XOq+sUiAfYeOoU90X271xsSBw16ioXjWvwOXJ0ZbV3Bc2na+nBvz5e8+H+qZy3XMRnuc6HIuKCgrK6Onp4dEIoEsyyQSCXp7eykrKxvYp6+vj9bWVj7zmc8A4PV6SaVS+P1+vvWtb13ysWbPno1GM/jpVENDQ941HFHnsTGadR6uLeaTfPx9nmuifIZsGOv26N7ZSmmRgmlTp1zS/kebjjJt6qXNU+sOtKPTKFm0aHYmVRx175/YS41VZtrUsovvzKV/ByW+CNuOHsjbtj3abTFf/u7zoZ75UEfhwnIuKLDb7cyYMYP169ezevVq1q9fz4wZM7DZbAP7lJeXs3379oGff/jDHxIMBkX2IUEQhDzk8ISzvnDZGWaDmq7+wKiUnU397hAza20X33GETHoV3kCURCKJLOfciGFBEHJITp4hnnzySZ577jmWL1/Oc889x1NPPQXAY489xoEDB8a5doIgCEI29blDmEdpxV2zQU2/J/fnFDi9ozOnQJYVGHQq3P7cz8AkCML4yrmeAoD6+npeeOGFIdufeeaZYff/3Oc+N9pVEgRBEEZJvzvE1OqCUSnbYtDg9OT+RNvRnGxtMWrod4ewW3SjUr4gCBNDTvYUCIIgCFcOpzeMZRSekkN68S6XL0IqlRqV8rMhGksQDMcx6EZnCJXFoMaRB70lgiCMLxEUCIIgCOPKOUrpOAE0KhlZlvCHYqNSfjY4vWEsRg0KSRqV8k0iKBAE4RKIoEAQBEEYN4lEEl8winGU5hQAFJi0OX1T7PCEsYzCasZnmPVq+sVaBYIgXIQICgRBEIRx4/RGMOpVyIrReUoO6eEzuXxT3OcendWMzzAb1fS6g6NWviAIE4MICgRBEIRx4/CEsJpGd00Ec44HBf3u0KgNn4L0ZOt+V+5+fkEQcoMICgRBEIRx0+cOYRnFp+QAxhwfPtPnCo5uUGDMj7SsgiCMLxEUCIIgCOPG4QlhGsX5BJAePtTryt3hM72u0UtHCumUpG5fmEQydzMwCYIw/kRQIAiCIIybXtfoDp2Bs3n6c1W/O4R1FCcaK2UFOo0St0/0FgiCcH4iKBAEQRDGTa8rOKqZd+BMUJC7N8SjuXDZGVaTNqcDI0EQxp8ICgRBEIRx0+cKYR3tG2KjGocnlJMLmIWjcUKRxKgtXHaG1aimTwQFgiBcgAgKBEEQhHEzFk/JNWolSlmBNxAd1eNcjn53iALT6C1cdobZoKFPZCASBOECRFAgCIIgjItYPEEgFBv1icYAVlNuzivodY1+SlZIZyDqcebuZGtBEMafCAoEQRCEcdHvDmMxalCM4sJlZ1hNGnpz8En5WAyfgvScAhEUCIJwISIoEARBEMZFrys4JjfEkJ5s3JeDaUl7XUFMo5x9CU7PKcjBzy8IQu4QQYEgCIIwLvpcwTEZOgPptQpy8Ul5tyNAwRh8BwUi+5AgCBchggJBEARhXPQ4g5hHOR3pGbk6fKbHGaTApB314+i1SuKJFIFQbNSPJQhCfhJBgSAIgjAuuh1BCoyjf0MMUGDS5GRQ0OcKUWAe/Z4CSZKwWbQ5vbKzIAjjSwQFgiAIwrjocY7d8KECkybn8vTH4km8gQhmw9h9B7kYGAmCkBtEUCAIgiCMi15XEJt5bHoKDDoV8XiSYDh3hs/0uYNYjBrkMci+BGA1iqBAEITzE0GBIAiCMOZi8SQefwTLGGTegbPDZ3LpprjbEcQ+RkERpNOydvUHxux4giDkl5wMCpqbm1mzZg3Lly9nzZo1tLS0DNnnv//7v7nrrrtYtWoVH/7wh9m0adPYV1QQBEG4LH2u00/J5bG7DNnMGroduXNT3O0IYB2DScZn2M1aOvv8Y3Y8QRDyi3K8KzCcJ554goceeojVq1ezdu1aHn/8cX71q18N2mfu3Lk8+uij6HQ6jhw5wsc+9jE2b96MVjt2J1hBEATh8oz1U3IAq1FLtyN3egq6+gNjMsn4DJtFl1OfXxCE3JJzPQUOh4PGxkZWrlwJwMqVK2lsbMTpdA7a74YbbkCn0wEwbdo0UqkUbrd7rKsrCIIgXIZu59g+JQcoMGvo7M+dJ+Wdff4xm1MBZydbJ5KpMTumIAj5I+eCgq6uLkpKSpBlGQBZlikuLqarq+u873nppZeorq6mtLR0rKopCIIgZKCjz49tDJ+SA9jNOjr7cmf4UJcjMKa9JWqVjEGnxOHJrSxMgiDkhpwcPjQSO3bs4L/+67/4+c9/PuL3Hjx4cNjtDQ0NmVZrzIk6j43h6rxo0aKMyz1fW8wn+fj7PNdE+AzZMBbt8fDxfirsKo42Xd5N+tGmoyN+jyeY4FSXNyd+z8lUiq7+AM6+Nnyuy3s+dznfgV6VYuP7e6grHf1gJF/OjbnQHi5FPtQzl+uYjfY40eVcUFBWVkZPTw+JRAJZlkkkEvT29lJWVjZk3z179vClL32JH//4x9TV1Y34WLNnz0ajGfykqqGhIe8ajqjz2BjNOg/XFvNJPv4+zzVRPkM2jEV7fPqNN5k7o55Su2HE7z3adJRpU6eN+H3xRJL1O7Yxd94CVMrx7Sjvd4fQa/uYPXPGZb3/cr+Dw10nMBYUs2hR7WUdd6yNdlvMl7/7fKhnPtRRuLCcGz5kt9uZMWMG69evB2D9+vXMmDEDm802aL/9+/fzd3/3d/zgBz9g1qxZ41FVQRAE4TIkkin6XKExHU8PoJQVFJi0OZGBqLPfT6FVN+bHtZk1tPfmzrwKQRByR84FBQBPPvkkzz33HMuXL+e5557jqaeeAuCxxx7jwIEDADz11FOEw2Eef/xxVq9ezerVqzl6dORdqYIgCMLY6nMFMepUqFXymB+70KrLibScHb1+7Jaxz5ZXaNXR3usb8+MKgpD7cm74EEB9fT0vvPDCkO3PPPPMwP9ffPHFsaySIAiCkCUdfX6KCsb+KTmAzaKlIwcmG7f2+Ci0jP13UGjV5cTnFwQh9+RkT4EgCIIwcaWfko9PUGA3a2nr8Y7LsT+orcdH0TgMH7KbtTi9YWLxxJgfWxCE3CaCAkEQBGFMtfb4LmvoTNTRgWfP62iPb8az8xXCncdIpZIjKqPYpqetJzeGD43HnAJZVmAza3MqNasgCLlBBAWCIAjCmDrV5aWkQH/J+ydCfhzvPIfz3d+SDPlIakykknG8O1+l/9Wnibl7L7ms4gI97b0+UqnxW8ArFInjDUTHfKL1GcUFOlp7xLwCQRAGE0GBIAiCMGZSqRRtvX6KbZcWFMTcPfS9+hMktQ7rtfeir19IwlKKrmYO5qV3oS6pxfH6zwh3Hruk8ow6FUgSbl8kk4+RkbYeH8U2PQqFNC7HLyzQ0do9/kOoBEHILSIoEARBEMaM2x8hlUqlb84vIubpw/HGL9DXzccweSGSYnC2IklSoK2cinHeLbi3/PGSA4NSm55T43hT3NrtHbeJ1gAlBQaaO0VQIAjCYCIoEARBEMZMS6eXMrsBSbrwU/JE2I/jrV+hm7wQTVn9BfdVWUswzrkZ95YXibq6L1qHYpuelq7xGz7T3OmleATDp7KtxKbnVJcICgRBGEwEBYIgCMKYaenyUnKRoUOpVALXe8+jLqlBWz75kspVFZSin3IVrnd/SyIauuC+JTY9Jzvcl1rlrDvR4aHsMlZyzpZCSzoDUSgSH7c6CIKQe0RQIAiCIIyZkx2eiwYFvv0bSSWi6Ovmj6hsTVkdKls5nq0vXXAicalt/IbPpFIpTnV5KR3HoECWFZTYRW+BIAiDiaBAEARBGDMnOtyUFZ7/hjja30awaQfGmdcjKUZ+idJPXUTM3Uvw5J7z7lNq19PZ5ycWH1k602xweMJIEpj0F59TMZpK7QZOdnrGtQ6CIOQWERQIgiAIYyISS9DjCJ73KXkyHsW15UX005ai0F7ek3RJocQ463p8Da+RCA5/06tWydgt45OB51ibm8pi00XnVIy2MruBplb3uNZBEITcIoICQRAEYUw0d3ootulRysNfenz73kE2WNGU1GR0HKXJhqZqBu4LDCMqKzJwvN2d0XEux7E2F2WF4zfJ+IzKYiPHWl3jXQ1BEHKICAoEQRCEMdHU6qL8PEOHoo4OQif3YJi2JCvH0tXMJuH3EGreN+zrFYVGjrSM/U3x0VMuKopMY37cc5XaDXQ7AoSjYrKxIAhpyvGugCAIgnBlONzspKpk6A1xKpXAs/UldJMXoVBnJ3+/pJDRz7wab8NraCqmIGsGByNVJUbWbT6ZlWNdqmQyxbE2Nyuvrxv5e+NRwq2NhDuaSHj6MURCONq2oy6tQ187B1lvGVF5SllBWZGBY21u5tQXjrg+giBMPKKnQBAEQRgTR065hg0K/I3vg6y86HoEI6UyF6EurcW789Uhr5XaDfQ6QwRCsawe80LaenwYdapLWrjtjFQqgf/oDnr/7/sEmnYi6y3opi4mWjwdVVEVsb5T9K37b9zb15GIBEdUn6piE4ebnSP9GIIgTFAiKBAEQRBGXZ8rRDgSp8g6uCcg7nMSOLQJw/SrR2Xyra5uHpGeZsJdxwdtV8oKqkqMHG4Zu5vigycdTCozX/L+iaCH/td+Tuh4A6YFyzAvWIa2cioqSxFJnQlNSQ2GGddiue5ekmE/fet+OORzXkh1iYmDJ/ov56MIgjABiaBAEARBGHWHTvZTW24ZdOOfSqVwb38Z7aTZyPpLv1keCYVSjWH6UjzbXiYZjw56rbrUPKY3xfuP91FTemmfM9LbQt+ff4KqoATTog+hNNnOu69CpcUw/WqMs27AvflFfIc2XXCdhjNqyy0cOeUikRj71KyCIOQeERQIgiAIo25vUx815zwlD57cQzLoRVs9c1SPrS6sQmm249v71qDtdRUW9jb1jeqxz0gmUxw43k9txcWDglBrI66Nv8M48zp0NXOQpEu7VKtsZViW3Eno+G48O9aTSl34Zt+gU1Fg0nBsHLIwCYKQe0RQIAiCIIyqVCrFnqY+plRZB7Ylgl58u1/HMONaJIU86nXQT72KUPN+ov1tA9uqS0x09PnxBaMXeGd2nOzwoNeqKDBpL7hf4OQePNvXYZp/O6rCihEfR6E1Ylq0gpijA9eWF0mlEhfcv77Syu7DvSM+jiAIE48ICgRBEIRRdarbhySB3ZK+IU6lUri3rkVTMRWl2T4mdVCodeinLcG15cWBYURKWUFdhYWGI6N/U7zzcDeTK60X3CdwvAHf7tcxL/pQRt+LQqXGNP82Ej4Xrk1/vGBgMKXKyo7D3Zd9LEEQJg4RFAiCIAijavvBLqZNKhiYTxA4votEwIWudu6Y1kNTUoPSWIBv9+sD26ZVF7DtYNeoH3vrgS6m1xSc9/XA8QZ8e9/EvHA5ssGa8fEkWYlp/i0kgl5cm8/fY1BTZqarP4DDE8r4mIIg5LecCwqam5tZs2YNy5cvZ82aNbS0tAzZJ5FI8NRTT7Fs2TJuv/12XnjhhbGvqCAIgnBJNu3tYGZN+sl3zNOHf8+bGGZdPybDhs6ln7aUUNthQu1HAJheY2P3kV4isQsPs8lEtyNAnytETdnwawkETu7Bt+dMQDCy9QYuRFIoMc27mYTffd7AQCkrmDapgG0HRj8wEgQht+Xc4mVPPPEEDz30EKtXr2bt2rU8/vjj/OpXvxq0z7p162htbeX111/H7XZzzz33cM0111BZWTlOtT6/o6ectPX4CUXiVBQZmFxuxWzWZFyuw+ulpTNIZ18AnaaQplMOpk7KTjf8idZ+WnuD+IIxygv1VJfoKLZbs1L2vqYe2noDqFV2jrT0M70mO4vmdLV30t4fxuWLUmzVUmHXUFRelpWy81nM00+0r41kJECPaQZ97jApJIrMKlz+GL2uEDajkhqdH32oB4d5Kt0BiRKThMcXod8TwW7VoTXoaev2o9MoMRvUtPf6KS7QUaXxoIn5UKntbNnXiUIBKqUClyeCzaLF6QuTTKaor7BQVmjgeJsLW7wXTaAXpV6PqWoKKnO6DcTcPUS7m0nGoqiLq1EXTxqVFJXnU2TUEDixG1KQCLhRqNSoS+pQmguJ9jQT7WtFUmpQ6E2oCkpQ28rHrG75rK3Hh9sXoabMTDIexfXe79HVL0RpPP9T89GkUGkwzroBz9aXUN35/2EyFFBZbGRnYzfXzxv5GP5LsXFPO7Pr7ciKoe05cHIPvobXMS36UFYDgjPSgcEt+Pa9jWvLnyi47sNI0uBgbE59IW/tauOuy1hUbaLw+CKc6PTg8oYpKzRg16XA2UbS14fCUIBkn0SvJ0JnfwCjTkV1qZn+QIr2Xj9qlYL6ShNEorT2+oD0fJWErKGly0c0lqCy2IhJp6S1J4A/FKXUbqDIqqWt14/TG6HQoqWyyEC3K0SPI4jZoKaq2IA10kXc2UmVWoezvZWOsI62Hj8KhURtqRGdIkpLt59EIkV1iQGd0cDRVi+BcJzKIj02i4aWLj8ef5QSm54yu4b+fh997jAFJg2lJVZ63BG6+gPotSqqS43YYr3EHe0gq1GV1OCNypzqCZBKpZhUakTWGTnW5iESTVBdaqJCHyHWd4qKuJ/+pv2ETRW09IRweiPYLVrqijSY/M0k3D0o9BbkomrkZJxofzsKjQ51ad3AdUAYXzkVFDgcDhobG3n22WcBWLlyJd/61rdwOp3YbGfTsb3yyis88MADKBQKbDYby5YtY8OGDXz6058er6oP68gpJz96fi+nutMnCVkh8eWPL+bauZnfTBw+6ePff9NAMplOO1dfYeGzH57DtJrMAoPmNgc///NR9h8/m6bvb+6fx/JrrBmVC7DrcDff+cVOovF0RowSm56//+gCZtZldjLo7+7lxffaeK3h7LjYT66oZ7nFjMFguMA7J7Z4wEO4rRHXe88TufNxfvHnIyyYVkyFXcuRthDPrD3ImayFc2vMPHh9KT9be4yHbp3E+/tcvLCpfaCsDy2dREuXl6ZWF9WlJuZNKeKZtQe5/9bJ3Op5A4us4e3wUhbMqeHfft3AmmVT+fWGw7h8EQB0GiVf/vhiDK4mYht/SCyZfmIZKKmj9IEvk0rE6f79PxN3pZ9WSrKK0oefQFc1Y2y+K58TxfbfE5uyGPf7fyIZDgCgtFdgvfZe+tf9aGBf7aTZ6SwvV92Juqh6TOqXz17ffop5U4uQJHC9/3/IBiuaiinjWidVQQnaSbNwvfs77Ms/zfwpRby27dSoBAXJZIo3trdy702Th7wWOJYeMmRa9CGUWRgydD6SfCYweBfX5hcpuO6+Qb00UyqtvLTxBG09vmEXl5vo/MEoP19/iLd3pSehr7yumlXW44S3/h4ApbWEU1f9Hf/+fOPZc+bkQkpset7Y0QrA9z57Fd/81T68gfR8FaNOxUPLp/H0SwcB+NTds9jV2MO+09fWGTU26issrN/SDMCtiyroq7Dys5cPDdTr6lklfLTOAVt+DoCiuI7owkf5nz81AWA3a1l1Yy2/WH8YAK1a5msfn8f/+/3e9P4S/NX983hm7UEi0fQ595E7Z/DatlP0OIOU2PSsWTaVH76wd+Bzzay18+k7JyO//jUAEvf+K0/+/vigz/WVj87mP3+/J/3dyAq+8ZFarK9/H1JJFBUzecvyYV7a3DrwOR68tZbrOp8n2ZteQVw/bSlIEsEj2wBQl9ZTcv+XUFmKLvdXKGRJTg0f6urqoqSkBFlOn6xkWaa4uJiurq4h+5WXn72xLisro7s79yZKneryDQQEAIlkit++doTWbm+G5br59auHBwICgBMdHlp7/BmVC9DaFxwUEAD86tXDnGh1ZFSuw+PjpY0nBgICgB5nkCOnXBmVC9DlDA0KCAB+/UYzPb3ujMvOZzFnF769b2GadyudzijlhQbWbTqJQavij28f54NpzJ3BJO82hVk0vRStEl7c3D6orDd2nGLxjGIAWrt9mPTpFVn/9M5xvHPXkDi+lRXTlLy8qRm9VoknEBkICABCkTgbd7djbt8KybNDGGI9J4l0nyTc2jgQEACkEjHcm14gGTtbxmiKdDeTCniI9p4aCAgA9HXzcb75y0H7hk8dRGmyE2jaOSZ1y2fhaJy3drayeHoJvn1vEff2Y5gxOouUjZS2ehYKrRH35j8ys9bK8TY3nf2Zn0PPtbepD1mWqCoxDtruP/w+vv1vY160fFQDgjMkWXV6joEH58bfDVqzQZYVLJpezPrNJ0e9HrnoVLdvICAAWDlbT3j72WHJims+xtOvnBh0ztx/vJ/iAj0A991az/sHugZunAH8oRjH2z2U2tP7GLSqgYAAYOG04oGAAGDZkkn89rWjg+q17VAPPabpAz8ne09Smjo7Kd7hDeNwRzAb1ACEowk2bG/j9qvSoyaSKXjx7eNcO+fs/dIf3mjihvnp4PeB26bw61cPD/pcjc0O2p3pVb7V5VN4v8k75HNtb+xl3pT0w7x4IsnvtvShqF0MgHfSTYMCAoDn32kmUL9s4Ofg0e1oimsGfo52nyDSdQJh/OVUT8FYO3jw4LDbGxoaslJ+IDQ0H3WfO0QkGs/oGObiOvrdQyeFBSOZlZsuY+gCOd5AlEg8lVHZpZX19LqG1tnhCRMMBjl8+PBllx1jaJd7PJEkGMr8+zjXcOUtWrQo43LP1xYzMc0qE/f2I+uNBEMxzAYNbn+YeDKFyxcetK/VpKG9L0CBWUckGid5zrpHqRQkEmc3RmNJZIVEIpkimFCgA9RE6D99gXJ6B5cP0NkfIFk29GYw6vcS9wzN/hJzddN68gQO/+hPgKxOOpANVuLewQGxQqMjGfIN2T+VjBPp7+HQoUOEw0M/a77LVnvc0eSjwCDh2/8G6u7DhKsX4e3Iztj1tra2i+90MaZqNO378L39O+qK5/D0C9tYtSS7w5qefbOX2iI1TcfST3dJgaZ1N0p3K5GKBfidXnBe3oOiy/oOCqag7j5McN1PCE29mZQqPZy1UJfg5e1uZpVGMGizM9cjV8+N5+rtdw/6ORULD354oTLh8Q9dzyJ+etG36dU2Xt/aPOT1fk+IApOWbkeQcDQx7HvPiMaThCLxIWUEIoP3k6JBFApInt7s8oUxG9QDN+4djgg3zj17Texzh7j2A0OWI7HEwDA2vVaF2z/0wUswnA4KVLZy2vqGvt7WH6ai2MS+Y+nzZa87SrIu/ZQ/lBjadpIpCCWVfHAt81Ry8GcNufs5muXr9bmy0R4nupwKCsrKyujp6SGRSCDLMolEgt7eXsrKyobs19nZydy56cwV5/YcXKrZs2ej0Qwe39/Q0JC1hpM4NLT34vp55VQUmphSffnHcPkCXDevnHcazj7NlSQoLzSwaGb9ZZcLsK+pd+Bm74x5UwoptKgorsvse7lhfjnPv3ls0LYZNTb0en1G33lLSxcGrZJA+OxJprLYQFGBjpKZ2TsJZLNtnGu4tpipSG8r+smLCLU0UjpzHu/ubmfhtBJ0agWLppew63DPwL4nOzx8Ynk9TZ0h5lcXYDNrB93YF5g0BD9wwdJplCSSKQqtWgqjXaBU0xE1snRWAa9tP8Uti6p4f//gm7/r55WT8A0NOnXFVWArwb/1T4O2m+bfSsG0mdRk6fu4kHDXCbre/RWWJXcRbm0c2B7pPI6udh6h5n1nd1YokWQl5pnXUjZt1hjU7tJlKwjORnsMR+L817o3WT01hq7tKOYldyDrsjM0pa2tjaqqqqyUlawow7/nTW6wtPGL46X85UemU2rPzrDDfU19BKIOVlw/B1lWkIyG0ilRoz6M19yNQnXhNQsuJJPvIFVdRfD4HtRNb2K75SFU1lIA2j0nOdKr5TP3jm1WqAsZjXPjBzU0NDClphiNWh4YYuNTWNBbS0i40+dITedulkyvZ/vhsz3mCoWEUpkebPGzdYd46JZJ7Dw6+KHCzBobf3rnOAAFZs2ga2sklhh0M08KJldaOf6BheTUSgWlxsFBQdxUSjJ59kl8TZmZ9/d3Dvx867wiNjScPfcunVU6aIG+mjIz3Y50b2hjs4PF00vY+YFrgUIhUV6Ubv+Bpu3ccN3tbD88OCC6cXYhv3j9bK/SrbMsyKdeIgHYEv1YjEY8/rO9C0VWHdbI2TpJSnX6puUDjBWTWVQ1HWF85dTwIbvdzowZM1i/fj0A69evZ8aMGYPmEwCsWLGCF154gWQyidPp5M0332T58uXjUeULmlSq52/XLMBu0SIrJG5ZVMmyJZPQnx56cbkKTAbuuHYSNy6oQFZIFFq1/O2DC6gszvxCNqlUzZc+vpgyuwGFBEtmlvDw8mkU2zOfALd0RjF3XluDSqnAYlTz2D2zqS27/IviGTU1ZXzt4/OoK0t3z8+rt/L3D8yipKw447Lzmaa4GsP0pSg0WioVTu66rpbZ9Xb2Hndy7421LJ1VikKCUpueL9xRzrTgbsotMt1++PKDM5lRne7pml5t5dOrZ/POrlZsZi2funsWm/d1ML3Gxt9/ZDbK/WuJ3Px53jkeZ/7UIm5ZVMmRFicP3DYFo06FRi3zkdumMKvWTnvBIhQzbgaFjGyyUXjvF9GU1aOpmErRqs8hGyxIsgrL0rsxzr5p7L6rkhrMKz5LIujDfNVdSGotkkaPrm4+ttseOT0GVoGyoAz7skdQGG1oq8dmvkO++t3rRyhT+zG3b8W8aHnWAoJsUyjVGBcsQ+3vZoGxl//54x5SqdTF33gRsXiC//nTfj60dBKyrCDa30bfn3+CpJAxLbw9o4AgU5KkwDBlEdqauThefxb/sZ2kUiluXljJOw3ttHRlNsQ131QWm3jy01czqcyMJMG6hl6Md34BuSK90na87SAfX1bL9bOLUEhQZtfxj48sJhqNo1IqCEcS1JRb+cTyevRaJTqNkkc+NJm6CjN6nQqlrKCzzzfo2trvDvKljy2ivjJ9bf3jO0f59N2zWDAtPf+mstjIVx5ZTFH/ntPnSzumu77AMb8JjVrGqFPx2N2zKLepMehUaFQyD9xYzew6G7F4EoVC4sYFFdx1XQ2xRBJJgnmTC/nLe+fg9gYBONLcz323TuHq2aevBXY9//DwQipirUiyClmlYWoRfPKDn+v2WqpKTShlBUpZwfKrJ3Hz/GJQyCAp0Pna+aePzWfK6TU5pk8q4MsfnYMh0ApIqOwVFH/4iySj4YHrQPF9/4CmLLMHmkJ2SKlsnP2y6MSJE/zjP/4jXq8Xs9nMd7/7Xerq6njsscf4/Oc/z5w5c0gkEnzzm99ky5YtADz22GOsWbPmko8RiUQ4ePDgqPcUnNHc4SGeTFJo0VJg1l38DZfI7Q3S6wqjUimoLbdmrVyAtk4X4XiSArOKQuvQYVCXKxAI0OWMIEsStZXZ7abv7+knGE1g1CmxFWZ/QaTRaBsXaovZEvU5SfndpDQG+qIaYgkJpZxCJkUomsSklTEkPaSS4FVaiUYTqFRK5FSMaCyBSq0ikZKJxpMoFaBQQDiaxKhToIl6kVQ6HGEZtVpGKcvIskQ4msCoUxEMx5EkiYoiA5Ik4Q9GcLmDmKQgRrNhyFjquM9FKhlHabKNebrKPXv2MGdqHcl4FCmVQlLIAwtIJeNREj4XqWQShUo9ZgtujVSmbTRb7XHv/hN897k9PFR2nJIF12X9BjibPQVnpJIJfEd28psTdu6+oY7Vd12dUXk/+dN+TnV7WXPzJPz73yXUvA/9tKVoSmqyUt9sfQdxv4vAwc3IRguWJavY1xFjR2M3/+9vb0KrGb/BBGNxboTBfzO+YJRgKIbFpEGrVuLod5EK+5DUBuzFdlwuH15fCJVKprzMjscboNcdQZYl6irS17O29l5AoqoyPZzmZIebeCJFiVWFxWzkVKebSDyJ1ayi2GqirdtDKJpAr1NSWWSmp9+LJxhHo5aZVGrB5/UQ97lBoaSgrIJIJEJbbwCFBHWV6QemXR09JFMpLFYjRqOR9k4HsXgKq1lNgdVMR7eLcDSJyaCk2G6hv89FIBRFq1FSUmKnz+nF5Y+jUkrUlhcQDkcIOXpAIVNQVnH6GOmRD/YiG2q1ms4+P7F4kvJCPSqVEndvN6loBI25AL3ZTHefD18ohkmnorTIRNjrJOV3glqPrrCcVCJG3OdCoVJnZV0OITtyLigYC2MdFIw2Ueexka9BwVjIx9/nucRnyLw9JuNRDrz5Kv/6VoQ7akPMmDMdSZH9DunRCArO6Gpp4Td7Uzw608+t962+rADwxbeP8ectJ/nYzDCJps2o7OXopyxCoc7eQ6FsfgepZIJw6yHCLYfQ1s3nLU8NCUnJ1x9dikY19mtJwPgEBbksH+qZD3UULiyn5hQIgiAI+Sfu6cO7/13eee8AL3jmsWKOmZn1teNdrctSVlPDg4YAz25VcvI/fsKqORqs825GVzMHherCN6d+X4Bn/rCV/c0eVml2IfXZMS1YhtI0dC5NLpEUMrqauWhKJxM6dZCr+1/indRVfOk/3HzpE9dSVWYd7yoKgjAGRFAgCIIgXLJUMkHc3Uu0r5Vwx1FCJ/cTd/cQKpvH772L+PiNhZQXqMe7mhmpLDLw6WVaXtmj5at7wtx4fDPTEz+jqtiAprgSpck+8NQ/EgxwsstHQ3uKLa5i6gwBHp4mYa5YjkKbX+ukKLR6DNOWoKuby8rOZt4/3sKT33fw7UWt6KpnoS6pRV1YiWwqQJJyakqiIAhZcEUGBWdGTEWj0WFfj0TGJjd6Nok6j43z1VmtVl9W7vWLtcV8ko+/z3NNlM8wGu3Ru+WP+M7JEIVCgapoEtrJi/GFVYTjcPhwM5efYPjSRCJRmtqCo3wUKJYgoVLzUl8tUAtO4Mi5e1lP/4OZ1iAWrZqGHqCn/dwds2r0vwMFXrkAb0pDtK+d0PHd592z6OFvoi4bujgb5Me5MV/+7vOhnrlex8ttj1eKK3JOgc/no6mpabyrIUwglzvuVbRFYTSMRntU9h1H03GApMZEaphJ4PGkxDtdBcRTE/eCG0tKeGNKosn0U3KtnMSsiiNLE/cyatfEWFI0OBuRlIyjiPiRosH0yrQzV5A0DD9ESpwbhVyS7/P3RtsVGRQkk0kCgQAqlUpEjEJWXO7TB9EWhdEg2qOQK0RbFHKJ6Cm4sCsyKBAEQRAEQRAE4SwxU0gQBEEQBEEQrnAiKBAEQRAEQRCEK9wVGRSkUikikUhWlrIXhEyItijkEtEehVwh2qIgjL0rMiiIRqMcPHhw2FRnhw4dGocaZUbUeWyMRp0v1BbzST7+Ps8lPkP+tMeJ8LvK1ET/DsaqLebL95gP9cyHOgoXdkUGBRcSDofHuwojJuo8NvKxzmNlInw34jPkjyvlc16I+A6yI1++x3yoZz7UUbgwERQIgiAIgiAIwhVOBAVjwBeM4vCESCbzZ2xkIhwg7nWQSsTHuyrCBJVIpnB4QviDuTFURZIkEmF/ut0nE+NdHeE84kEPxWbteFdj3MTjSfrdIbR603hXRRCECUY53hWYyOKJJHuP9vLzdYdwesMsv6aGu66tpdimH++qnVcqlSLc2ojjzV8Qc3ZinHk9lmvuQW0rG++qCRNItyPAy++d4M2dbZTY9Hzq7lnMmVyErBifRWVSqSQ12hidv36CuLsH09ybsSxZiaqgdFzqIwyVjIQIHNuJ653fkoxHcF+9GuOcm1EareNdtTHT0evnhbeb2LKvk+oSI5/S2JlZZx/vagmCMEGInoJRdKLdzTd/vp22Xj+BcJw/vXOcV7e25HSPQayvje7ffYto90lS0TC+vW/ifOc5krHIeFdNmCBi8SQvvH2MdZubCUXitHR5efKZbTR3esatTtGeFtxr/4NYbwupaAjvrldxbXmRVFz0lOWKcMdR+tb+F3FvH8mgF+fbvybYtGO8qzVmQpE4T790gLd2thGOJmhq8/D401tp6/GOd9UEQZggRFAwilq6vJybTe3V95tx+XJ3Mk7U0U4qERu0LXhkO3Fv/zjVSJhonN4Qb+1oHbQtkUzR1uMbpxpBtL8dzhky5N//LnG/Y5xqJJwreHz3kG3e3a+RjObu+TSb+lxBdh/tHbQtEkvQ3hsYpxoJgjDRiOFDo8igVQ3ZZrdoUavkcajNpVGodUO3aQ0olOpxqI0wEalVMhajBqd38M2cXjN+p6Ph2r1sMCOJdp8zlObCodssJUjylXEZU6tkdBolocjg3iudJnevJ8LIhSNxfvlKIw1HeqktN/Opu2dTXJC7Q46FiUX0FIyiyVVWqoqNAz8rJPjkqtmY9Ll7o6EuqUFbPWvQNtuyT6C0FI1TjYSJpsCk5TP3zBm0bXKlhboKyzjVCNSldahK6wdts9/+KEpjwTjVSDiXvn4BCr154GdJVmG95u4rJigotRv45MqZg7YtnFZETZn5PO8Q8k0imeJbP99OW4+f+2+Zgl6r4h/+6z16nMHxrppwhbgyzqbjpNRu4PFPX82xVhf+UIy6Cgv1ldasHiMe8GAxDH3KebmUxgKKVn8en8dHIK7Apkuis+fHJONQMEjQF8RsNaLSXLnZSS5VIuQDSYGsNQx5LeDzIiUS6K2XdlMsSRKBUIxEIonZqLno/ktmlvCdv7qO1h4fVqOGyZVW1CqZUCSGTjO0h220qcx2pOsfoTjlJxn0oSqqQlNaN2S/RNAHCglZaxymFGE0qYuqKH/kn4m5ukkmEqitRaiLJ413tcbUzYuqqC234PKFUSuhprwAq0mc6yaKdZtOEAjF+IuVs5AVEmWFBlSygn/79U4evHboeVoQsk0EBaMokUzR4wyybvNJHJ4wK66uwW7RUWjN/CY+5unHf+AdvLvfQGsuJKR7CG31TCQp886fg11Jnn+rg86+AFfPKWX50gLqKnL7wnP8RCd/eKeZpg4/i6dYufu6aiZNyo9gZqwlgj78h9/Hs20tklqH7cY16OrmoVBp8PuDBJsPEN7+Rwj70C64A/Os69Faz5/hJBZLEMDG136yBX8wxuob67lhfvl5b1b8wSjbD3XzhzebUCklHl01m3d3t7Nhawt2i5aH75jBnPrCMc9E1OOPULno6mFfS4R8BJp24N7yf0iykoIbPoJ+8kIU6tz+u5hIwl4nsY4m3NvWkopFMC38EAlk9CVV4121MdPa7eXNna3sbOyhqtjIfbcqsVuy91BIGD/BcIzn32ziU3fPHnTuu25eOUdOOdl9IsBVV41jBYUrghg+NIpOtrt5/OmtHG5x0esK8atXD/P69hZS584+HqFUKom3YQOujb8n4XMQ7ThK12+/SbS7OeM6Hznl5J9/sYODJxw4vWFe2dLCH948RjASu/ibx0lXRw9P/Xo/2w734/SGeb2hmx/+3xHcTtd4Vy0nBY/txLHhaeLuHmK9LfT88btEOpoACLQfw//yvxPvOUnc04f/3V/ha3z/guUdbXPxb7/Zx4l2Dz3OIE+/dIAt+zvPu//eY3385+/30NUfIBJNsuNQN79+9TB97hBHTrl44umtnGh3Z/MjZyx0cj/9639M3NVFrL+N3v/7D8JtR8a7WleUeMdR+tb9kFhfK3F3D663f0301L7xrtaYcfnC/O71o7y27RROb5h9x/v5zi930tgsJsNPBG/saKWuwjJk/oBCkrjjmhrePeAlFhfrpwijSwQFo+hkp2dI+tF1m5qHTLAcqYTPiXfXq4M3JhNE+1qHf8MItHb7iEQHn3i2Heiko8efcdmjpaPXh9s3OGXq0TYv3X0iVd+5krEInp2vDNkePLaLRCJJuO0wMLjNhva8mh5qdB4Hjg+9KVm3qXnYRckSyRSvvN8y8POi6cVs3jc4gEgmU5zsGL/0pOdKJRJ4GjYM2e4/vGUcanPlCp3cO2Sb/8C7RLxXRvDf2een4cjg7EOhSJyO3tw9NwuXJpVK8cr7zSyZOfy6KJXFJqwGJW/vah/jmglXGhEUjCLdMNlUzEY1KmWG2SJkFbJu6GqWkirzoQxa9dC6aTVKVKrcbSqaYeqsUEhoVGJ03LkkSUY22YZslw1WJElCoRk6Vl7SW0Bx/u/SrB86B8Bq1KBUDm0zCgkKLWfbaSAcH3bi/XB/O+NGIaEc5jtTGoduE0aPQj90IrqsMyMrx34OynhQyophz3W5nM1OuDQn2j1Eo4kLThqfXqVl3aYTGY80EIQLyd07vQlgSpWVEtvg8Z5/cddMzIbMsg8pDRZsyx4ZvK2gdNiJkSNVV2Gmtnzwiekjy6ZSUzZ+mWEupqrEwtJpg2/Q7r2ukooycdN2LkmpxHrNalCcvZFQaA3o6hegUEjoJs1ANnzgdy0pMF37ALLm/OOW50wuHNSmFRI8uHwaWvXQG3tJkrjz2lpUpwOG7Qe7+NDVgyeLFhfomFJlvcxPmH2SpMBy1R3wgSw3klqHYdrScazVlUdbMwfFByfFK2TMi+9Eqb8yJn1PrrRw3y2TB22bUmVlUtnQB0RCfnlvbwez6wuRpPPPoyq3qQiEYhxrc49dxYQrTg49jpt4ygqNPPWZawmEoiSTKZRKBdUl2Ukfp5+8mLJPfhdPKIGcjGG121EVlGRcbmWxmb/76EKOtDjpd4eor7Qysza7N9cBfxBbQfbKtBbaeGzlVFbfGCealFArElTYtah1YgLecLRVMyj/xD8TaT+KpNKgrZyGuqgaAHt1HYoPf5141zHQGlDYKrGUVxKPJwnH4hh16Zv/VCpFIBhBLSWoLjXz5Ydm0eNJEQzHmFFjY/J5smyFI3HKi/T8x+dvxO0PE44kqCg2MK36eo6ecmLSq5lea6O8KLdu9DQV0yj/xL8QaT8CChlt5XQ0JTXjXa0riqF2DtJ9XyYUCJBKptAZ9Kirpo13tcaMLMvcvKiSSaVmmjs9FBfoqS035/QDG+HSbDvYxb031V9wH0mSmD+1iLd2tjK1WqRKFkaHCApGUSKRoLPPz8vvncDpjXDTwkqUCgU15ZmfxDucYd4/lGDjng4KLVruuamI+dYkCkXmnT++YJS9TX34QlGSKSgvNGQl7Z3b5WHHoW7WbevEpJW5/2aZOVNLUakzX7fBGVHyWkMbx9s8zJ9ayLKrJiH6CYYnSQq05VPQlk8Z8prTG2Z3l0wsMZX3NrcTi7fy4O1aNu5u53i7h5sWVrBkZilb9rbx/sFeppXruGtRIYXqKPOWzj7vMcOROLubevnjW8ewGtTcelU1r25twe2PcPuSauZOLiQaS7D2vRM0Nju4+8Z6arPwd5ItkiShLatHW3bhC7cwejzeIPvdBazb5CQcTbD86mLm6kJUlV08Be5E4fFFOXLKyYHjDoptWoptYlGrfNfZ7ycQil3Sg5B5U4r46dqDfObeuWOenU24MoigYBQdOOHgX36xk3giCcCvXz1MJBrPOChIJpO8uaONP717HIC2Hh8HTzr45meuYXb90FU/R6Kp1cU/P7uDYDi9auaB4w76PSH++r65aDPMH7/jUDor0BmHWlz8y6cXMWt6ZUbltnZ7+bfndtHvTk/g7ujz09zp5SuPLMZmFr0FlyqZTPHq1ha0aiW/fqWRZAoeuG0K3//dbnzBdPapplY3h0462HesH0h/13tOennqLiPJePS8K18fPOngO7/YCcAn7prJ937TQOL0JPyfvXyIjyybyuvbT+H2RTjV7aPhSC/f+/yN4qZHGHD4lJt/+/WugZ9/8qcD/NV9c6kqs45fpcaQwx3k/949zvsHugA43g77jzn4xqeWMrP2/CmDhdy252gfU6qsKC4wdOgMu0WHyaDm0Ml+5k4WC4oK2SfmFIyili7fQEBwxoZtp2jpzCyzSkdvgA3bWgZti8WTnOrOPNvOqW7vQEBwxnt7OmjPMMOFz+dn7fsdg7YlU7D/RH9G5UI6Y9KZgOCMxmYnbTmcMSkXOb1h3t7ZSp87xJmkWbKsGAgIID2u+UxAcIbLF6HTkyTuHpwZ5YPe2H4KAJVSgS8YHQgIznh7VyuLZ5wd/ubyRWjrOX/GI+HKs/to35Btr29vxem5MlZ77XIE2Xqwa9A2fygmsg/lud1He6gfwWru02tsbN3fdfEdBeEyiKBgFKmHyb6i0ygHJlleLlkpDTuJM9NyAVTy0DLUSgXyMNtHQpYV6DXDfx+ZGu5zK6TsfB9XEoVCQlYqBrXbc3uoU6n0fudSKUCSL5Ch6PRE5GQyhXKYtqRVK4ekws3ljFfC2NNrh7YvnVZGKV8ZwygUCmnY8/NwWb6E/JBIpjh0wkFdhfWS3zOzxsa2g10iC5EwKsTZZBTVlpspMA0e7/rAbVOoKM4sW0R5oZE1y6YO2mYza6krt2ZULkBduYWKc8Y2fviWyUwqzazOer2eNbfU8sEeUoNWyZwMhzsB1JSZh3SfL1tSzaQLpHcThrKZtTy4bBoGnQrD6Rswpyc86He/63APK64ZnC1oZpWRcpsapbX4vGXfdlU1SlkikUyhUEhDMnCtvrGeHY3dZ8uss2VtUr4wMcyfWjQoZbJCglXX12E2XhlDBGtLTdx94+A5LdWlJipzbFK+cOlau70Y9eoRZSQsselJplIZ994LwnDyZk7Bj370I374wx+ybt06pk6dyt69e3n88ceJRCJUVFTw7//+79jtuTWuckatnX985CqisRgoFMTiSeqzNHnyunnlWE0a9h3rw27RMm9KEZOzkMaxuszMP3xsIfFoAq0qhSeUoKLYnJUJzPOmlfIvn15Ie38YpZy+yNXXDr9Yy0iU2A189r45NHd6CAXDGI166iutGLRXRv7yTCTjcUgmUKjTweu1c8vp6vFQczrDSTSe5LP3z6O9x0d7r59ZdXYmlZi4dlYJrV0edIoY0yv0RCIBJCndRlLJBKRSAz0HqVSKKRUG/vPvbqLplAuHN8w/PLyQY61uovEE86cVU2bTYzMvwuUJYDHpqK2wYj0dUMfiCWSFAoVCGhiON1xvgzCxzZ9azNc+uYTGZgfhaII59YVMr86dyeijTadTc8P8cuZOtmPRKQhFUiiUMlNEJpq8dfCEg0mlI3v4IUkSU6oK2HW4h6oSkY5WyK68CAoOHTrE3r17qaioANITbb/0pS/xne98h8WLF/PjH/+Y733ve3znO98Z55oOFY7GeW17Kw53mBsWVFBqM2DLwnUslUoRCMcIRxP0ubM7pjYZDvDmzg5O9oS5abadQm0CrJlP+IwmJdxhBe/s68GkU1JaYiORTGUli0JpsgdD37tEOo+jr52HoexaQDxBO59kLEqo5QDehg0kIwFM825DWz2LePtRNA0bqC0oZv5Vq9BWTMblC9PVH6CzP4AsS0RjCV7ffgpScPeN9RRWFXLowD5SiRjh1sO4d6wnFYtgueoulAUleJr20aybyfod3UhSiruuKiXuc2Ax6fEGovxs7SFm1BRw6wwDFceeRWUrw2xfgctbwbaD3byxo5VF04qoqyzg1a3NpFLpnoU59XY0wwyjEyamkN9PVbKdIv+7SIkYqui1JCPT4QrpKQAwJrxouxtIntiKurAe7ZxbgNx6GCZcuoMn+6m+jF74KVVWdh3u4d6bJ198Z0EYgZy/okajUb75zW/yH//xHzzySHrBroMHD6LRaFi8eDEADz74ILfddlvOBQX7j/fxL7/YSSSWHit9tNXFwyum8+DtmefWfmtnG7/4c+PAz+82dPDvn7/xgisiXopTLZ089asD/z977x3Y2FXmf3+ueq+2ZLm38Yzt6b2mTNqkF9IbAQIL7LKBpSxlCSwssGFhKfuyP9pSExIIpCek92R6rx733mRLVu/3/UNjzWjkJDMjecZFn7+s43sfHd17dHSfc57n++DxRwBo7nYz4CrhLrMBjT67VYnthwb54Z92pV7vODzEA/+0nrkV2YmHRkZ6GXryJ8RcyfCTSH8rof4WCq+5D7nOlJXtmUqo+xCDj/4niMmV93BPE9bL7mX0tQcRIyHCfUcJNG2j+CP/yYt7Qzz4fFI1an51I//14M6Unb0tTr758dVJm73N9P/pW0Ay1jXUeQDLRR+mSz2H//jTwdQ5u5tHuf+2uew6MnSCkoqbzfuVfHX1YqTbH8F/ZDOxTV/lf//WgiDAhsUlfPd321I29hwd5t8/sYalc987ZCnPzCLQ18rYY99LjdlQ8zb0V9wH1tmhwjI25iay62kiB19NNvS3Em/binjD/RSWV57TvuU5M450uFgz33Ha51UVG3n01WaisThyWb6idZ7cMeX34H/yk59wzTXXUFp6XLayv7+f4uLi1GuLxUIikcDtdp+DHr437X2elEMwzrNvt2etEjQyFuTRV5vT2kKROO1ZqhoBdA/5Ug7BOM9v78M5mp0SjD8Y5W+vpfc5nhDZ15K9+lBkqCvlEIwTat9H1NmTte2ZSrBjf+rhahzv7pdQVy1KvRZjEUbcQf72WlL6tqJIz5GO0Qxbz73TjtFoxH9kC+MOwTiBo9s5OhjNOOf1Qx76R/xpbc6xMEOSZDiZGAmRcHYde18Dh9pHMmz8fXPHB3/QPDOGUOvujDEb2vN3Ap7s573pQNg1QuTQ62ltcf8YsZHeiU/IM6UZdgWJxuJYDKdfA0itlFFk0XCkwzUJPcszm5nSOwW7d+/mwIEDfOELX5gU+wcOHJiwfefOnRO2ny5SSWasp1wmIRYJZ/UeKp1lQmWdaDQ7uwBSSeZOg1QiQRCyuy5qrX7CFQ0xEWPPnj3E4/EJzjo15kwYPSAQjcdzdi/HmcjesmXLsrb7XmNxMlAqlRRLJvjqS2WQSL8PiUQ8pe4Si4sTjju5TIIoisTJDAMTpLIJ9bcVMoFEIlM948RIMlGSHC/xY9XAM95XAocOHSIYDGZ+ljMk1+NlunI2x+OpYLFYUMomyBGSygmGwhxunvn3rbzAAhIJnCRzLUgkU3bcTpe58Vxcv4NdAcxagaPNR0/5nKajTam/9coYL7y1j8jY1MqrmapjEXIzHmc6U9op2L59O62trVx00UUADAwM8LGPfYy77rqLvr6+1HGjo6NIJBJMJtNp2Z8/fz5KZbo60M6dO3M2cA62OdFr5Gk67zdcWEtNeSGUZ7flfecmgf/v0b2p10adgsaaIkoKs4sx7O3qx25WM+g6/qD1oQ2l2OwWysqL3+fMD+bWuIFv/2Zr6rVSIWV5Q/FpybFNRNQ1gMJRQ6S/NdWmbVyPtriGZTW5yyvI5dg4mYnG4mQS7ICxbU8jRsOpNuPyKxh+7v+lXktUWmyFJu68XMP/+9s+eod9bFpTwdt7+1J1BiQCXLW+Go+7k7LG9fh3PQ/x8ToXApp5q5iHBIlAqvaBRCJwfoMBiVRG58DxHagKuwZbqB0AqdaE3FYJHKZ70MslK8t5d19/ypGQCHDFumoacqBeNc5k3t+zRa5+kM/2eDwVRuIBwrueQYwd38nULLsKq82G1Tbzw8gCXj+RJVcS3vFkqk1iLkZqLWVZadk57NnkMtlj8Vx973f3HGBulY65dad275qONjG37oTQY+UoOw4PTak5aybMobOdKe0UfOITn+ATn/hE6vXGjRv5+c9/Tm1tLX/5y1/YsWMHy5cv55FHHmHTpk3nsKcT01hdwJc/vILdTUM43SGW19uor8wufn6c9YuKsZpUuL1hSIjUlpszpETPhJJyB1+7I8HuoyN0DAZYMdfC3BIdSuXpb3GezKI5BfzHJ9cik0qIRKPoNMqsHQIAubmIgis+SbBtL+GBVtTljagqFiBT5xON3wtVRSP2m79C4Oh2EiE/2rmrUBTPwXHHNwm27wcBtHUrUVhLOG9xBKtRzcFWJ2adkq/es5LthweRSQQuX1tJcaGOfXu7UBbXUnzXf+Bv2oIYDaOtX4NUZ6ayq4n/uGc+m4+MISHOBUtLkEkFNiwxs2ahgy37B6go0rGwRIr68FHkF9yBtm45YW0RX/uIni0H+lEoJPz7x1ez68gQcVFk3cJi5uZVV2YVhoo6hA99jehAKySiyGzVqItrPvjEGYJGr8XbcBHywgriXXuRWMuRlC+kcAY7BDOZps5R1i4884W2iiIDj7x0lGgska/JkydnTGmn4L2QSCR8//vf5xvf+EaaJOlUJJEQicUTyOUSQpF4RoXjM8XlCeF0BXl3Xz+FZjWFFm1O7AIUa2NYCgcRipUI4iBqU24S+YI+L0Gvh5d2DWLUSLloaTGxmB6ZLPthKJErQa5AbikBiSz5Os97IggCmsoFaCoXABCOxjjYPsoLW7zIZTVctrqCcp2enfv6eG1nNzcu1XK1bi/Rphb0jRuYe9EyQs5eItsfYdA3RHn9eSSCfhIFVXR7NLyzf5D42z42LLFwqN+ON+Dj/OUVjI6FeOjVLgxaBcvm2Xh3Xy+L59hY3lBEgUkNNf+Y6qMCWD3fweoTEvEW1838FeE8EyMIUjpihbzWGSYQinKhwc5CafaLFdMJn6jgkLeEtpAei1fFspiO2ZFmPbOIxxO093u46aK6Dz74PVApZRSa1bT2upmXpVhHnjzjTCun4NVXX039vXTpUp5++ulz2JsPZv8x9aFgOBlO8dLWLu65qoEPXZi9tvA7+/pTijAA7+zt4+sfW01jdXbydFHXIAMPf5u473gCk3HN9VguuA1Bkp3Kwb5mJ//1l+OKSa/tGeJ7H4N5c7Nb6Yp5XQz+7YdEhztTbaH6dRRe9SkkitkjV5gNB1pH+OavtqRev7Grhy9/eAXf+/12PrbRjuL1n+D1JZOMIwNtSDbZiD/7n4iRZJhZuG03QvhjtKgX8B+/P64w9dqeIe7YNI/H32yjvMjA/3tsX+p/b+7u5Y5N8/jZ3/axqW+MT1y3IK+kkec92d/q5Fv/tzUVurbt0CCfv2MpFyydHSvlHo+X57b08OLWrlTbqzu7+drdy6ityF0YXZ7Jp3vIh1GrQK3M7hGszK7nUNto3inIkzPye06TSEe/N+UQjPPUm210Zak+1NE/xlNvtaW1+UMxOvuzswsQGepMcwggGXseGxvOyq7H7eZvb6erAcXiCfa3Z6+eEBnpSXMIAPyH3yE6OvAeZ+Q5kXhC5JmTxlNChM37+nEUaKlSexF9x1WHxNoNRIe7Ug7BOL7Nf8M5lK4SFIsnGBkLsmZ+UYZaUCyeYNQTQquW8+KWTvpHcltvI8/MYueRwZRDMM4zb7fjD0be44yZRZ8zyMvbu9PanO4QXfnKttOOlm4XJbbsw1vL7foJldny5DlT8k7BOWACMZYcGZ4ss7kxPFmf+z3NTtqFnoFMdKkkwskKo0kmajtm473+BRPfDuE9/s6T51SYbV/xiT6uMNsuwgygqcuNw5p9yG+ZXU9TpwtRfL+ZN0+eUyfvFEwilcUGNKr07cHrzquhzJ5dgbFKh5Frz0tPsNOq5VTkoOS5wlaOVJe+FWlYfQ0yY3aRqwaTiQ+tT9/ml8skLKjOPllUXlCK3F6Z1qZtXI/cXJS17dmAVCJwzYb08SSRCKyZX0T/iJ+2gB7hhDEhtL6FvLAcQZle5Vq/5kZs9vQwBplUgtWoZvP+AS5fU5n2P7lMgtmgwh+MsmlNJUXW7Ktm55m5LJtnT8njjnPVumq0asU56tHZpbhAzcUry9PaCk1qymy5yyfLc3Zo7nblRBjErFeSEEWGXbmTZc4zu5lWOQXTjQU1BXz1npW8vaeXYXeQdQuLmV+Tm9i/tQsdGHUKNu/vx27Vsm6Bg8YcyDPKzUU4bv86ob5WBJkCBBF1eWPW+QQAC+dY+bc7F/DKrgGMWhkXLnFQW3361RxPRqYzY7/+8/ibthLqPIi2bjnq2mVIFLMrCTEbGqut/Mcn1/Li1k7kMimXrCynskjPNz++mhe3dNJwwX1YRg8QG2hB17gO0VFK8LqvEml6B6l3CGX9Box1i1kgUXP/PUt5eUcPBrWMdUvK6HUGuHpDFSU2HV/58Ape2dGFUatkydxC3t3Xxz/duJDlDUX5fII878uCmgLu/9jqVAG98iIDC2qzy6GaThgMei5fWUK5XceOw0NUOgysbrRRW57PJ5hOxOIJuge9FOfAKRAEgTK7nqPdLmyW/KJKnuzJOwWTjEwq0FhtPVZ8KYFSnptLrlZKUSqkVJcYUStlExZ3OlPG/FEio04SI93Iq5YSGAti12W/oi8VBGRSgWXzbAgkkAjkRHkIQGEtRrH2elh7fU7szRZEUSTc14zv8GaKQkHuWrmBdp8ae6gD3yubKZer+MyqRkIGM22y82kJL0bjkrHEJiEhaFGX1CMd1ZDwjRIPeFFb9SyeV4zZpMc7MoQmNkbQE2BoJMKQU000LnDjhXMYdgcJRGLccvFcbIlB/O/+gRGZAm39OpQltQhCfhMzTzqJRAwlYQI+P4FwnPoSFUIkCNrZozRmlIZYYx7i/POlxCJjCFIVkFfkmk50DXixGFQo5blZBCku0NLU6WL9opKc2Mszu8k7BZNIU+co//GbbfiCx4uX/cP1C7hqfXXWtt/a3cf/PX0w9dqgVfCNe1dTl6V2+3B3F/6n/4uEJ5lYHG16B+WqGwkX3JB1AZl9rSN870/Hq1MqFVK++1GomzM71EOmIuG+Fvr++PXjBccOvMbcy/8R9+M/SR0T7DzIO6X38KdXOwDQa+Ro5AJzhl8hcOCF1HGhA6/iuP1+DvTFeeKVw9y1VMJ/PRekbyS5tf3m3gGuP7+aZ99tTxUtk0oEvnltIYZdLwIwtuN5iu/+NqqSM5fqyzMzaW0f5N9+s4doLCnr/OLOfu6/ayErzKZz27GzRMDvJ3LgVUI7n0q1SUwOxGu/hLW0/H3OzDOVaOlxU1yQuxo6pTY9m/f3ffCBefKcAvnluEmktWcszSEA+NtrzQyM+LOy2zfs42+vtaS1efwR2nrHsrILEB/pTjkE40R2PoVnMDslH597jL++2ZXWFo7E2d+WvfpQnjMn0Lz9hArEoK5aSHDnM2nHhKrPS7t3q+c7UIZHEQ++lHZc1NlDeKiLx15v4cI6BYN+IeUQjPP02+2sbDye6xFPiGzuApn5WBhZIob/yBby5DmZXU3OlEMwzuPvdOPzeN/jjJlFyNlPaPdzaW0Jdz/xkZ73OCPPVKS525WTJONxSm062vs9GcpcefKcCXmnYBKJJzILlcViYtZf3oQoTlgELZGDSUGcoM/Jtuxsi2KCWDzTRq6KueU5M8RYutMqSGSIiXj6MRJp2piVSiWACBMoXoiJBNFYAgGRiYZjIiFmqKVE4gkE6fGtdDE2OyQm85wekQnmimhMnDXKK6IogjjB/DxBW56pS3O3m+LC3DkFaqUMvUZB33BemjZP9uSdgkmkusSIUpEeN3jVhuqsVQdKbXquWl+V1qZSSKkqzk7VCEBWUIZEna5ipFh4CTprdupDerOZ69eVprVJJQILc5R4nefM0NStgBPi94Pte9EsviztGFXbW1y5+ni86tYD/QTlJiR169KOk+qtKG3lXHd+DVs64xTpEpj16cowF68oY8/R9J2odZVSos7x1U4Bbf3aHHyyPDON5XMLkJykvnnt2hL0xuznvemA3GxD0XBBWptUa0JuzceSTxdymWR8IqWFWpq73Tm1mWd2ks8pmEQaqwv4+kdX8dqObvyhKIvrbCybl5uksI3LyzBolXT0jyGVSli3sJj6quyVOArLKxGu+wqhA68hjHQgzFmHrGIJam32KxtL55j50i0NPLd9AKNGxpWrS6ittmdtN8+Zoyqpw3H7Nxjb/gzxSIjonI3s9JtZdOXniO1/EUGpRtd4PtcabJQUmXllRw9zykzMqbIh2K9Dai1H1rkNafFczEsuRm4sZJEqhoDAsGeIr3zIxhuHxmgeCLN+gQ21WklDdQFlhVqKCjQ0VFmolA7hq1yERK7AuPJKVCVzzvVlyTMFqa2w8q2PLOaZzT0EInGuWFnCvPLZ4RAAGIxGIkuvRGotJdGyGbGwGk3jBVjKqj745DxTgu5BL2Z97pKMxymyamnucrFxeT4/L0925J2CSUYpl1JSqMPlDWE2KNFkWdZ8HAEw6hRIBAGzXon05CW0LAhIDbQVXUrAFKNAr6BOnRtpT5XOgMkQYsMCG3KZgFolRy7PjXJIV2c/hzvddAz4mFtuoq7MQHFJ3uH4IASpDHXlfFTl9QAE3KOER8Js7ZUyZ90/oQsO4O0/iHSgg/PK57L6ggRRlUDbsIf9HT5qSpaz+NpL6e/rpMiWTHZUK2UsnFPA4Q4JuztGWbWwnE0bNGw9OIBGTFBZoCQcNtHc60Gv8aOtLKX6tq8l+5MD6dtsEBNxwn2tBNp2IwgS1DWLUTpq8wWipgBqrY5SVRefXC0FQQYyPyrV7FLe8Ur09BmWw+IlJAQJBajI77VOH1pyHDo0TnGhjnf35ZON82RP3imYRI52ufjO77bh9oaBZJLlP920iMtWV2Zte8eRIX7x+P7Ua4uhk3+9ezkNWe4WDPQO8r0/HaDHGUi13XNpNdddbEYqze6BbV9TP9/6w97Ua41KxnfvXUZNVXZFxoYGnfzi6Sb2tScTrZ/Z2scVK4u56wodOn2+sM+pIEikREf72XNogB8+3cOdm+bh721F+c5PEOPJvAP/NinWyz/J3w/5eeTtttS5VcUGPnFlRZq9rQf6+eGfdqVem/VKLllZQY1F5E+vdrHt0CAALwOrG4u497r52C3n/l6Fe4/S9+A34Fheheudv1J8V14NaSow0noIz9++gxgNHWsR4IYvozUsP6f9Olv4/WHe2DOQJjJRZtfz+dsWUVM2e+o1TGeOduemkvHJFBdo6ej3kEiISHK4QJhn9pHPKZhEWnvGUg7BOI++0sxglupDHX1jPPpKc1rbqCdE10D2KhwdA540hwDgkdc7Gegffo8zTo1AIMCfX+tIbwvF2N/qzMouQO+QN+UQjPP89j76Bt1Z255NeN0uHt3qYtk8OwfaRrA496YcAgAScZwRFX/bkj4W2vs8uE4Y0m5vmN8/dyjtGJc3TJFFhSciTTkE42w5OED34LlPklOr1Xh2vpByCACIx/AdePPcdSpPinD73hMcAgCRwI5nCPhmh/pQ15CHp95qS2vrHvTSNRR4jzPyTDVaclTJ+GQ0KjkalSxrZcM8efJOwSQSjccz2oLhWNaKO3FRJBSJZbTnQslnIoWgSCyRtbJRPJ4gGMnsXzCceY1Ol5NlCgESYvI985w6CRECkQRKuQRRFBFiwYxj4uLE4yx2wvhIJBKEJrivEkGc8F4BxGLZj4NskQgC8VCmc5II5X9opwJiJHM8CtEAiQnm2ZlIIjHxdy8/z00P4vEEXYNeigsmZ0fUUaCjrS97WfI8s5u8UzCJVDmMyKTpl/iKtZWU2PTvccapUWHXsemkECSFTEKZPTu7AOV2PVpVelTZJUvt2AuzK4qm1+u4bm26SoZEgEVzCrKyC1BSqMdmTs97WFRjwp7DAjGzAb1exzVLjOxqGqKq2IjfsSzjGKsqxobG9FAFg1ZBgf74mLEY1Vx/QW3aMXKZBJc/ToFOyBinlQ4DJbZzf6/8gQCGZZsy2nULLjj7ncmTgap6CclsquMoFl2Ozmg6J/0529itKtYscKS16TVySm3nPuwuzwfTNZ5krJicqG27RUNrT94pyJMd+ZyCSaSx2sK/fXQlT73ZxshYkAuXlbFmQXbx8wAymYwNS4rRquU0d7uQSgQuXlnBojnZyYYClFc4+Pd7FvPUO120DwW5YL6FDQuLUOQg2Xhlo4P7BIG3DgyjkAlcsbqMOZXZ97mk1MZXbl/Ii9u7GXBHqbKpuWBJMRZrdo7MbENpK2dNo4hGp8EdleLSlKG5+D7kh18AMYFh+eUE2/ZwY+MSqsvn8ubeASodBq45rxrPUDtwPK/g0pXl6NRynnu3HbtVw6bVlTzzdhvRgJJ/vqGel3cNcLB9lPnVVi5cXkaZfWqoyKjKG7F/6Iu4Nz8BEimmtdejKpt7rruVB1A5auC6fyXSvBlBKkHiaEBWMu9cd+usUWDSc8P5NTisWkY9IaTABSvKmFeZ/cJKnslnspKMxyku0HKgdWTS7OeZHeSdgklEIpGgUki5cFkp0XgCk06JXJabzRmdSk6ZXUcwEsOkVaDOkaoRQIE6wd3LpcQiCpRakGtzoz4klUsxm/XUVcRRK6UoVUrkCsUHn3gKGOURPlQbJObqQ2arQCrPDK/KMzGDI36au9209Y1hN6spshWiCsboH/XTH7ez6LzP0u8K0tnto6r8BvRaBfjG2LSmgsYqK+VFBnYOJEMYBkf9HGwbYWDYR02Riq9c48CNnqN9HlY2FtFQZaWq2IhCrWJlYxFdg16c7iAj7U1Ina3E43HCpip2DamoKjUxp8yM4gT5PlEUcXccJdx9GCQSlGX1mCtyJ2EqVarRzluNumYJAJIcqWPlyR6t0UDrUCVH9UbC0ThzdRbqNFPDmTxbGBUxrqj0Ex1oRWq0I1HmHYLpwtFuN8XWydsRdVi1PPN2+6TZzzM7yDsFk8ih9hF++NAuht3HY2E/e+sSLlqR/WrBvpYR/ufRPanXNrOaL9y5nPrK7ATqRvv78T73YxLDHQCEAc0F92Bcd3VWdgH2t7n5zz/sSFW6NWgVfPXupTTWZicdOjrQT+CtB4m3J9VuwoBy6VX49TegNRiz7PXMxhcI8+aeXv7w3OFU20evbuRvrzUz5otQUaRn2B3i75s7kEkl3H1FPf/10M5UMWOTTsl3P50sYjYyFuT7f9zB0S43kAwP+8Lti/nBw7tSOSlalYx/+9gqnn6rjXf39QNw/7V2PC/9FDGaTMoXpHJK13+WL//sIF+7ZyWrTwiZcLcdwvXotyCedPqCchXiTfdjqcrtan7eGZh67G0e4nu/244/lLz3UonAVz68glXz1ee4Z2cHrzeI2PwOvrcfSrVJiuYwtOkz2EryBcymOs3dLjYum7w6Aia9knA0zpgvjFGXn7/ynBn5nIJJpLPfk+YQAPz5paN09Xuystve7+GRl5rS2oZcQboGsrMLEBnqTDkE4wTf/TMjfT0Tn3CKuN1eHn+jlRPzlT3+CAc73FnZBYi6BlIOwTjh3c8RGBl8jzPyjNMz5Ofx149LHCrlUsZ8YcZ8EQBWzXfw0rZOAJbX23hjV0/KIQBw+8Ic7hhFEAQ6+j0phwCgocrK81t70pLU/aEY+5qd7G9Jqk7ZLRqsrn0phwBAjEcxD2ym0mHgd88exOtP9kUURQK7X0g5BABiNETwyObcXZA8U5Y9zc6UQwAQT4g8+047I57ZoT4Ucg0S2vJoWltioJnESO856lGeUyUam5xKxiciCALFBVra88nGebIg7xRMIuFopiqGLxghmq36UCyOLxjNaA9Hc6BCEQtnNInRMGI8u3CcSDSBN5DZZ98EbaeLGI1M0JggEc3e9kwnlkgQOOFBSyaTEDlhHEmE44pUaqUcbyDzWvuDUQRBIBxJH+8atXzCcerxR1AdS7ZTK2VIQ5k/YtLQGBqVFG8gSnRcmUhMIAbdGceKgcy2PDOPcefwRDz+CPH4LNFlj8cQY5nXYKK2PFOLrgEPVoM655WMT8Zu0dDel/3iYJ7ZS94pmETK7fqMSsMXr6ygzKbJym5JgZaLVqRvQ8qkAmU5UHCRF5QhyNNzCBRz16GxZhfiYys0cslJfRYEmF+dfT1OudmBVGdKa5MV16E0ZZ/EPNOxmzWsX1Sceu0PRikwqRgv4Nve56GhKnmPdjcNsXZhcdr5EgHmVZhJJBKUF+nTclv2tzjZsChdLQVgSV1hKrema8CDrziz+JSvfB1Hu9xcvaEasyE5HgWJFOWCSzKOVc1be5qfOs90ZOnczOrFG1eUYTOfe+Wqs4FUZ0FeszKtTVBqkFmL3+OMPFOFlp7JTTIex27R0Nab3ynIc+ZM+ZyCT3/60/T09CCRSNBoNHz961+nvr6ejRs3olAoUCqTsXNf+MIX2LBhwznubTp1FWa+fPcKnny1GV80xsrGIlY1FKHIMrlWrVZwwZJSVAoZb+zuwWpQcePGOcwtM2XdZ2tFNcINX8W35W+Ioz3I6tahmn8hGk32cbvL6swkxHpe2d6NWiHlugtraCjPQZ/LyhGu+RL+bU+SGG5DUrYIzeJLMdkyHyLypFNo1nDNeTUYdEq27O/HUaCh3K7nkzcs5MWtnXT0e/jI1Y2UFOrY1TSEXiPnI1c18Ny7HRh1Cu7cVM+ccjN7Rzsoten5j0+u5ZEXj9De72F9g4VFJh+fuqqaJ7YMolZIuX1TPQ2VFj55w0Je2NpJS5eLgz4rG6+6j+CWx0BMEJ9/JS93arnr8krOX1qKIBx3rLXVC+GyTxHa8RRIJKhWfghNRcM5vIJ5zhaVDjX/cttSHnu9hXA0zuVrKmmomj0KY5ZCC/E1tyAYCol37ERicqBZdQPWiupz3bU8H0BTp4visyCR7SjQsqtpaNLfJ8/MZco7BQ888AB6fVLX/OWXX+arX/0qjz/+OAA//elPqaurO5fde190agVGnYLzVpYRCMYoL9JjN2e3SzBOiU3LWomDlQ12pFIBENBocqPk45QXEVj6UYR4BFGhxa7IjfqQzarj/Iph1msiCDIFEnMUnSE31yMkN9I99xZGisI4LCoqlPlEq4mIjvYzOOKj3S3gCURZWiLF7uvlhgqRTQvmMBpVYTUp0amk3HrxHGQCmPUKNq0qZ1VjETKZBLNOQV25GZc3xIg7gHegh1qJi9Gtz2IwlLJhYRFXrKsiGIrikkupqFDwMVsh4UgMhUzAFwyTEEUaqiw0VlkpLtCSsNdSPHcZiCIRiYo754dQ+nqINL+OX2dGUVyL3FCAxmBEs/xiAnNWgAQ0+okTyXuHfbR0uwlGYtQUG6kuNWXs2uWZXhQXmgkHQnzy+kbiCdDIEpRYZ0eS8ThhlZ7usk30Ktdj1iupkGmxfvBpec4xzd1uLl9TOenvYzNr6Hf6icUTGTWS8uQ5Faa8UzDuEAD4fL60VcOpzuH2EX70yG76ncmKqIIAn799GecvLc3a9vZDQ/zokV2ppM9Sm47P3baUuvLsVs5aukf5xRMH0hJG7712Ptfaslfx8Xc14X3su5BIxohLtGa47isUVtZkZXdkcJgHX2rlrQPOVNutF1Zww4Va1NrZEVpwKkRG++nZvZmf7TNxtMfLRy+0E37xIYKuvmNHCKjP/0f2Oiv47dMHiRyrPqzXyLnu/Fr++PfD3HV5PRqVjP976iCxeIKPb7QztuOPJNwDx0xIcJz/T3z99x7uuLye3z97mEtXldPU6aL12Lb2lz+8gh8+tDNV3digVXDrpXNZM99BgUmNGogcfJf+v/8i1XdV5QJs134W2bEwMY3xvcdjz5CXr//iXZzuEJBUqfnWJ9awMAd1PPKcO4629vLvv9+H51hugVwm4d/vWcKC+uzn0+lAKBRi68ERfvfscaWwhioLn7y2nqqyvDTpVCUSjdM37KPImpsFsPdDIZdi0ivpHfZRUTS75Hrz5IZp4Up+7Wtf44ILLuBHP/oRDzzwQKr9C1/4AldffTXf/OY38XimXnJN54A35RAAiCI88lIT3YPZqWX0Dnl56IUjaSowPUM+OrJUNUra8ac5BAAPv9hEc/doVnY9LjfBrY+nHAKAhN9FtPfw+5x1avQ6A2kOAcCjb3TRO5CPrTyRcO9R+rBztCc5/uZqx0ikHAIAEV3fDvY2D6ccAgBvIMqoJ0SpTYdMJmHbwQFi8QSCAHM0ruMOAYCYQLP/cdY3Wnh1RzcrGuw8v6WTFQ3JnJS5FWZe3d6VcgggmSza7/TTNZgcv1H3EKOv/CGt76GO/USGO0/pcx5sG0k5BJBUqXnohSOEwvnaFdOZvc0jKYcAkoouT77dgd8TOIe9Ont0D3r588vNaW2H2kfpGZ4dn3+60tY3hs2iQS6b3CTjcYqsWjryycZ5zpApv1MA8J3vfAeAJ554gu9///v86le/4qGHHsLhcBCJRPjOd77Dt771LX7wgx+clt0DBw5M2L5z586s+wwQDGeuZrq8YULhaFbvoS+owO3LVAkKRWJZ9z0UydyMDoSiRKKJrGxXlJaBP9OxEP1uuru7GRo68zjIKJnXOZ4QCefgepzMRPaWLVuWtd33Gou5QiKRUOofJZRIJv4KAsjFzDGUEARGxkIZ7R5/hAKjikQ8gcubPE8qEZDFM49NBNxYbVJ2esPMKTOTSIgpB9agUUxo3+uP4PeH2LlzJyV6OWIkmHGM3zXK4dH3v59SqRSnK3NaGxkL0dbeSdDvft/zcz1epiuTPR5Pl7q6OkY9meN1yBMlFI1yZBbcN5WxlOAEjm0okt3cPJlMh7kRJvd7v7XJh1Yeo+lo0wcf/AGcig1pIsDmXU3oxHMjyT1VxyLkZjzOdKaFUzDOddddx/3334/L5cLhSD7cKBQKbr/9dj71qU+dtr358+enEpXH2blzZ84GjnhoAIlAmjb/hctKKbPpUZWf+XuEo3EuWFrKC1uOr5xKJAKlhXqWzssuFGdf8zBymSRtJXdFvZ0iiwZrdXbXpa/xIqJv/TGtTV7WgK2sjLKyMy/q0tU1gEGrSFtFrHbosJm1FNZXnLHdk8nl2DiZicZirgl1qylq7UEmlRCLJxiVFFAoSEA8fq/jmkJWNthp7nannVtdYuSPfz/E8oYiltfb6ej3EIuLuOU2rAjA8UEu1l3A63s9rFlYzPZDA5TadDjHkg/5B9tHuHHjnFQo0TgVDgMldhPVJRUkIiEG5ywj2Hz8x0WQKTCW17Ks4IPHiUzv5JGXW9ParlhbRcMHfDcm8/6eLXL1g3w2xuPpsqSugGe29qW1XbasCKvViNU6ve/bqTA4PMai2gL2thzfFVUqpJQUamioqTx3HZtkJnssTvb3/rXDO2iotTK3rigrO01Hm5hb98FFGuPyEQ60jZyTuWwmzKGznSkdPuT3++nv70+9fvXVVzEajSiVSrzeZAiEKIo899xz1NfXn6tuvid15Sa+cOdyyux6dGo5V62v4oKlpahU8qzsKuVSLltdwRVrK9Gq5ZTb9XzxzmU0VJqy7vO8CiNf/vAKakqNaFQyLlhWyo0X1WI1ZR8PKa1ajmrNLUg0BqTmInRXfBZ5YWXWdsvLi/i3OxeyqMaEWiljfWMh//yhBgqL8nG2J6J01FBVXsDXb6qktsTIn3eFUGz6HLKCMiQqHZJFV7Jf0kCpXc9Hr6rHpFdiM6v5zIca8frDKOUyBoZ91JWbuOGCGkw6JU8fTqC/5gvIraVI1DqkS65hl1jPioYiJEBNiZGPXTOf7kEfGpWMtQsdNFRbuP2yuZh0SuwWDfdc2cC8CjOVjmQMrEShwnrRPegXX4yg1KAsmUvR7fejOAWHAKCu3MxX71lBcaEWg1bBnZvmccHSfMXX6U5FkY7P3diA3aLBpFPy4UurWViTvaTxdMFeaOSuTXWcv6QEjUpGXZmJr9y9nIaavMraVKa5202pTf/BB+aIIquWroHZUdAvT+6Z0jsFwWCQ++67j2AwiEQiwWg08vOf/5yRkRE+85nPEI/HSSQS1NTU8I1vfONcdzcDg06Fzazm5ovmEIzEcVg1OMy50Sq2G5Wsaiyi1KZHrZRSaNSgUmWvPqRQKCjVJ7j1vDK8wSgOq4ZCTW6Suw0FVvrj5xFzLEOUSEGlwlaQmx/1Yl2Mf7nUQjBqRacAQSt+8EmzDH9EpDVegk8a5J6r7AyOBmhJCFRt+jImvITlOpbEBPq9CYqsWr50xxJCoSgyMUyDXcVFi5ahCQ8znIixZkEx6+bb0AghBiNyhPM+h0oSQ6rUsE4u4AzL6Br0UVlsQKuS8ZEr6xERsEj9yMaauLDcwJLaZcREAVEEqQBv7+3F7Q1TYFbjsGrodlxFouBSyo0iYixA3D+GVPvBCe8KuZQ1C4qZX11ANBbHYpxdCjUzFXtRIWNBuPWSOuLxBKWFWsrKZtcDsV4l5dLV5axfXIxcKsWkOztx6nnODH8wyshYCJtl8pOMxzHplfhDUXyBCLocKRLmmT1MaaegoKCAv/zlLxP+74knnji7nTkDjnSM8j+P7kl57RKJwJfuWs66hdkXm9nb5uIHD+5IhSZVFxv49I2LmFuR3UN2f08/v3i2mV3N7lTbv9xYz4W27IXvWjpH+OZvd6eSWO1mNV+9Q6S6KrPA1engGeoltP0J/AfeBCAMGDfcQlB7OWrt2VuhmcqEozGeeKOVR185yseumc+P/7w3FSJmt2j4/KZCdIceZHPRbWw5OEh9pZmn3mpPnX/DahsX1I1xJGqi3x0C0cdaRRN95mX88C+78R+rXGzQKvjCTfV85087UxWOrUYV/3zLYgLOIQyH/0hEquA17ZU8vvVdIKmgUm7X8/wJ4XBXraviYPsI7X0etCoZ/7ZJj+3Am1gv+QhS1ak51npt/gdxJnGodYgHHtzNqCeZk6JUSPnah5ezZF52YRnTiZ0tbn75xP7U66VzbdxzhYSq0tmzYzKdGC9adjblkCWCgMOqpaPfw/ya/G55ntNjSocPTXc6B7xp23iJhMifXjhC10B2ygBd/R4e/PvhtFyFtj5P1qpGkFTyOdEhAPj131vp7RmY+IRTxDM2xl9fb09TtRl0BTnS6crKLgDugZRDMM7Yu38j5uzJ3vYMoW/Yz19eOcqC2kI27+9PyxkZHA3Q7FUTqNnIwy8dZXm9nWfebk87//GtQ0QkGn77fCs6jZwlRSIxiZK3DzpTDgEkt66f2z6QcgggmeR7qH2UOlOU+GArvsoLeGLb8cTyJXW2NIcA4LnNHayan3QW/aEYb3XLCPccITrcndPrkmf6sLd1NOUQAIQjcZ59t5Mxj/99zpo5HO0c4aHn09XadjUN0evMqw9NVZq7zk7RspOxWzQ5USPMM/vIOwWTiD8YyWhzuoNpD8ZnQjgWx+meQJ0llL3koj+YacPjjxCNxic4+tQJh6P0uzLVQ5wTKNGcLmJogoeCeAwxnP+xHCcQiiGKya3l4QnGzognTFSqIRYXSSTENIcTknK6UWSMekIEwzGEWAg0JoZd6bbMeiUDo5n2na4gEllyugnGJWlyurF45vchkRART+hEtzuORGsmHp4dD4B5MhlyZY6rwdEAkVh2c9N0IRyJTzjH52LezzM5HOlyUVKYm5Dh08Fm1tDWm5fkznP65J2CSWSi5KL1i4pxZFnV2GZWsW5RegiSIEBxQfaTT3GBFpk0fatzeZ0FQ5aVhwttBVy8JDP+t7Eq+21vidmBRJneP7m1BInBnrXtmUKRVYPFoOJAqzNVM+BE6ku1aIYPUVKgxR+KYjWmV7E265XoE17WL3Jg0qsYw4Ck/yDL5qUXBDvUPsL5izPDORbUFuCLJCtvW2JDmPXH1UQisThGXXqoj82sZuwENakLahVER3qQm7MLNcszfVk8JzOEccPiYgots6NIU4FJSX1lenFKuUySk3k/z+TQcpaTjMcpsuZ3CvKcGXmnYBKpKNJw3y1LKDCpkEkFNi4v5ZKV5WizjHU26tRcsbaS85eWIJUIFJrUfPbWpdQWZ//jWFRk4d/uWkRJgQaJAOsaC/nwZbVYrNlVSgZYU1/I9evLUMgkmHRKPnP9PMrt2f+g6cvmUHDdv6CwVwICqvIGLJd/Cl3R7Kh0eipYjWq+/tFVFFmSuwGXrSpP3YdPX9+Io/tlTHoln72xnr5hH7dcXEdDpRlBgPoyA1+6tgxRrubq2ih9A6P4RBXSuvUssIvcfFEtaqUMrUrGh1YVstQe4cYLa1AqpBi0Cj5yVQMiIke9OrRXfg5Fx7t88TIT9eVGBAHaez18/vZl1JYmXzdUWfjEdQvYsr8PtVLGnec7qBPbsN/4ryis2efj5JmeVBVp+NjVDRi0CpQKKdedV82yutkTS+8oNHLPlQ0sr7chEZJV7L9053JqS/JV26cibm+YQCiG5aQFlrNBkVVL96CXxMlbvnnyfABTOtF4umO3GgiEEvzzzYuJJ0CvllFuz40KQZFFy5VrkxKnUkHAoFVgzoFsqF6vwWFR87Gr5+HxxyixqrFYcrMSVVbhYE1cRnmJFblUQrldQ6E9+wRmgLDGzsja+3B5o9hMSjSa/NA+mdoyE/ffuxpvIEo4HGNZvZ1AIIJDL6K1rkBhMGJxdvKPF+gJKlXUlS/EH4wwPBrAJ1eQUMjxqgw01Mpw+8K0BvSUFmhYt0BkyVw7kUgMqRAnrpSyZJ7AorpCJBJQSCT0jwSQKuSMGOdScM1Xicel3GJKkBBBr5UTiye447J5KOVSzGoRlz/GR65upMCoprpAglrdgFSVf/iZzZQXFxBPCJj084knEpTatNSUz65ESpNexnXn17JmfjEGnRybSYVanVfXmoo0d7sotemQCGcvyXgctVKGSiljyBWgyJrfScpz6uSfnCaRps5RfvHEfpq73ADIpBK+/OHlrGrMfhI/3DnK9/+4g1g8uRIwr8LMvdcuYG5Fdiv6vT2D/PGFZt45NAKARIAv3rqA9cuz3wLd3TTA936/M1WVs6RQx+duWcjcqsIPOPP9GR0c4PF3e3ly8/HCRv9w1RwuXmNApTp7UnDTAY1KjtMd5Pd/P8S2g8mKlxIBvnh1CRXv/BxtzSLc7z6O1GSna8UX+NFf9iOKcPmaSlp73KxbVMyjrzTjO5ZcbLOoufea+fznH3akVqWW1BVSVqTn6bfa+Ng183nw74cJHUs8LrPr+fCV9Tz22hEOtY+iVsq47dK5/O7ZQ2nnG3VKXt+VTBS/99r5XLmu6mxfqjxTjKa2If7r4b0MjiZzhbQqGV/98HIW1s2eMMH9LW5+9re9qZyctQsc3HJJLdUls2fHZLpwtMt1TkO7xhWI8k5BntMhHz40iXQNeFMOASQTKv/0QlPWKkFdAx7++PcjKYcA4Eini56h7NWH+pyBlEMAyWrMv3jmKD09Q+9z1gczNubliTfbUw4BQO+wjyOd7qzsAgyOhtIcAoDfPt/KYP9o1rZnIu29npRDAMl7/KvXR4g4FiCKIoJcRbTmfH719JHUw4fFoCIUjdPc4045BABDo0EOtY+iVR1fX9h9dBi9RsH86gK2HRxIOQQA3YNehkaDHD32vdiwuISn32pL2+befXSYEtvxXYHfPXOQvmFfri9DnmnG3jZXyiGAZILts5s7GfPOjkJNTZ2j/P65Q2lJ+u/u76ffmZmAnefcc7TLTUnhudvdtJnVtPflk43znB55p2AS8QQy1Yf6nf40ucYzIRyNMzCSqcJy4sPameKbQDHJ7Q0TjmSncBEIxugfzuzz0ARKOKeLd4LrHIklCISyvx4zEW8o83qNekLEVBbi/jEkah0RhR5vIHn9pBKBcDROgVHN4EimotOQK4BJnx43G4slKDCpJhynI2NBNMeciPdSQzpRMjUWFydUxcozu+h3Zo6lvmE/0fDsUR8a/06eiG+CtjznFlEUae05N0nG4xRZtbTmFYjynCZ5p2ASmWiVYPX8IixG5QRHnzoWg5pVjZkKL0XW7ENliqxaTq6zsqDKjMmQXciTo8jMmgWZfZ5XYcrKLiT7rFKkV/Z0WNVY85VsJ6R4gnu8pMaEcmAfcouDuGcEzUgT88qT1YPjCRG1UsbRLteExXDmVVrSVvIFIVlV+FD7KEvnZipO1ZQY8RxTFjrSOcriuvTwMUEApfz4/bQaVdgs+Xs521lYk5l/tGZBEQUFprPfmXOA2aBgTqkprU0qEbDnYN7Pk1tGxkIkRDFDVe1sUmTV0tmXVyDKc3rknYJJpKxQzz9cvwCDVoEgwKrGIi5fW4klywdsq1HFNRuqWVFvRxCSVWQ//aFFlOVgq7LcYeJfb1+IxZBc+V1cY+KjV87BWpC9+tCGBXYuXFaKRCKgUcm4+/J5VBdl/4NWXlnCv925gOJjP461JXq+cHMjtuLZU+n0dKgtM/G525am7vGSGhN3LBIxlM8h1NsMEgmCQs0dl8yhsTr5IHa4Y4TbL5tHJBrnohVlyKQCSoWUOzbNw2bW0Hjsgc2kV/LJ6xciSAQ8/ghKhZTzl5QgkQhoVTJu2jiHhJjgH29chFGnYH+Lk/MWl7D0mLSpWa/kczcv4FCbE4DqEiNfvWdl3sHLQ22xitsvrUOtlCGVCFy6spzV83IjVDAdKLMb+di1jSlZ0kKTms/fsZQqez4Bf6rRfEyKVDgHScbjFJjUjHpChML5XdY8p04+0XgSKbHriCVilN21nFgsgUGrYE559g/XAPVVVm6/TMKV66pQyKWYDUqKc7BVqdXrKLLH+Ifr5+PxR3EUaCm05OZHp7aykGukMs5bUopUImDWKyhxmHJiu8Sq4h+vr2fUG8VuVmI3n30ZuOlAz5CX1h43hXop37ungVAoSqFWRPQOI8aL0RXPQb3kUkYkhYgRCZeuLOfKdVXo1DJAYE6ZEalMwqZVFYTCEfQq8EelbFxWxg0X1KJTy1DJJXiDMb718ZXIhQSBiMjG5WUoFFI0Cim+UAx1OMadm+qxGlXo1FL++UPz8YZEAsEI/kCYj1zVyMevk2LQKdBr0lfb+pw+uge8qJQy9Bo5Q6NBVEoplQ4jJn12u3B5pi5lJXbOF0VqbPOIxUXKbFrKyjN3omYyRQVyPnJVI95AFJVSil4rw2jM7xRMNZq7XTgKzu19Gd9F6hjwMK8in4ie59SYdKdAFEUeffRRnnnmGVwuF08//TTbt29neHiYK664YrLf/pySTAw7zP6W5KqnUiHly3evYHl99moZ2w4N8P0/7CB8rNLwkrpC7rx8HnXl2X35W3tGeOz1dt7c3QskJ5Z/uX0p5y3JXvN/z9EhHvjDjlTuQ3WxgU/esID6quxkBd1OJy9s7+OR17uAZPjJZ66fx4ZlGlSqvHMwTmuPm2/8ajMmrYyvrvYTeuuPGNdcj/voNqIjx+631ohq030c7I/w0Av7CByrljqvwsyqRgeDrgBL5xbSOeBlx6FB5laYeeqtNiB53W+7dC42k5ojnS7kMimHO0Zo6UnGtWrVcv7ltiU0d7t55KWjqX7ddXk9eo2c3iEvT77VDiTDh7758dVpCccALT1u7v/Fu/iD0aSy0fNHUsnri+cUct+tiynIgTRvnqlHZ0cvP3z0MO0DydwCo07BN+5KMKe25Bz37Oyx96iHn/x5dyox/6IVZVxznkh1cf6hbyrR3OVmwQThbmcbu0VLe1/eKchz6kx6+NBPfvIT/vrXv3LLLbfQ398PQFFREb/+9a8n+63POT1DvpRDAMlEsYdfOEJvlkoq3YNe/vjc4ZRDAEnFlt6h7BVaBkZCKYcAkvHkv3n6IK09rqzsjnr8PP1WW1oydFufh+ae7BOhBkYCKYcAQBThl880MziQVx8aJ54QeebtNsZ8EW5cZiD0zp8QlBpIxFMOAUDcP0ZksIMtB/tTDgEk1a0isTgFJhXv7OtHKhFYs9CRcggged0fe62FQVeQRXUFaFSylEMA4A9GeXFrF/tO+E4APPziEdRKGaX248X3wtE4v37yAL4TkshjsTiPvdaCNxBlyVwbb+3tTVOz2tM8nKb2lWdmcaDdnXIIAMZ8EZ7b2o3XMzvippu7RvnN0wfSlLpe2d7NwEjoHPYqz8mIokhrr5vic6g8NI7doqGt132uu5FnGjHpTsHjjz/Oz3/+c6688spUfF1paSnd3d2T/dbnHLc3nNHWPeTLWhUnFI7RM4EDMObPXoXC7ctUphkZC6U9fJ0JPn+MrgmkWCdSFDldxnyZP4qhSBxfIPP6z1Yi0RjN3W4A9JIwJOLItCZiY8MZxyYSCboHM8eXLxBFFKG9byxZkGeCYpmhSJx4QkQiSHD7Mq9/e98Ydkv6Sn4sLhKNJTKqb3YOeAmcMO6CkTgtxz6D3aKhZ4I+TqRklGdm0DnB/W7uCxCNzA71nUAoxtgE8/NEbXnOHU53COFYQdFzjcOqpS2vQJTnNJh0pyAej6PVJotnjDsFfr8fjWbmb/EXTVC4ZNk8G2Z9dkmTZr2SZfWZsbQnP2ydCQ6rhpNzo+rKTFj02U1wdouKFQ2ZYVNzykxZ2QWwWbQoZOlDudCkxpqPtU2hVspZvzgZZtETUCBR6Yi6B1EUlmUcK1GoWVKXWVDOpFciEQRWNhSREEUisfiE110iJCVFC02Z43z1fAcd/ekru3qNHIBILF1acs38orQcAZ1aznlLkp/hUHumahFAhcOQ0ZZnZrCgOjMfa32jBUvBuQ/TOBuYDAoqTxrfEgGKcjDv58kdLT3J+gTnMsl4HEeBls4Bb8aCS54878WkOwXnn38+3/ve94hEkqsZoijyk5/8hAsvvHCy3/qcU2bXcfcV9Sm5zPk1Vq7ZUE2BKbs49wKzhg9dUEtDVTJOUK2U8ZGrGiktzIUkqYp//NAidOrkg1pVsYGPXN1Isc2YlV2lUsl5i0tYecwxkMsk3LhxDhX27JOji4osfPn2+ZiPPUAWF2j4ws0NFJXMnkqnp8KFy0o5b0kJf94yChv/CanOQmS4G/2SS0GSTCTWzF2FwmKnpsTIojnJh26lXMqHLqxFr5bjC0aYU2bC7Qvz/OZO7r32+HV3FGi55ZI65pSaefrtNtp63dx6cW3KcVjVWMTyBjs3X1SXchhsZjX/eNNizHoFerUctTKZ5rSgxsptl81DITsuTSoIAhevLGf9omI6+j1UFBlYXJfMR1EqpHz82vk5cTLzTE1qHDpuOb8cmVSCIMD5C22sa5w9icYVRSY+cd18KoqSc6ZBq+AzNy/BUXjuV6TzHKe1x50TefBcoFbK0KrkE9aLyZNnIgRRFCfVhfT5fPzrv/4rb775JrFYDKVSybp163jggQfQ6c5NzF04HObAgQPMnz8fpTJdrWTnzp0sW7YsZ+/V0e+m3xkgGIrhKNRSX5m7Va3D7SP0O/1o1DKKC7SUF2X34D7O4LCPnhE/vkAEu0VLuU2Vs52doYFhhj0xZFIBm1GKuSBztfdMGBkeod8VweUNYzOpcBSqMRhycz3GyfXYgPcfi5NBwOWk2y3i9YcwaGSMjoXQapTY1VHESIjRmBq9SkCllDEWVRCMikgEUCgkePwx3N4QBSY14XCcaCyOzaLBF4wmi5XpZWg9HcSRIBqKGApIQBCQSCS4vGG0KjkiIjq1HKlEQiAURaWUEYnGkUmleANhFHIpHn8Ei0FFpUVA4upCkMqRF5Qh0ybvZzgSZ9DlRyaRYNQrcbqDKGRSiqyarFbnJuP+nm2y/QxnezyeLr2DbnqH/cTjCYoLtVTMsgRbl8dLvzPMoCuIQavAYdZQnIOFlanI2RqLuf7ef+OXm6mvtKTknHNF09Em5tbNPe3zHnrhCFetr2L9oslPyJ8Jc+hsZ9LVh3Q6HT/72c9wOp309fXhcDgoLMzNg+BU52iniz+/0sS2g4NAUn3lX+9azpIJCjqdLjuPDPL9P+5IJYOuXeDgxo21zMlSfaitb5Rn3+7kxa3JxF2FTMLn71jG2oXZOwWu9iaCT30ftc8NgKekkcTGj2Atr8rK7siwk9d29/P7F5JJr1KJwOdubOD8Vbl1CqY7we7DNHn1/ODhfdxyyVweeGgvoWPVtS9YWoI/FGP7oSMYdQq+ctMcXj80QIFZQ1OXi/IiA397tRkAmVTgzsvrcVi1/OiR3XQNJHNFiq1qPrtWRPnOL5GULcS8/iPs7Irwh+cOE4snKxRvWl1BNJagtsxEKBzj988dBpKF926+uI7//eteYvHkOsUd5ztY5XwSsf8IqvL5FF79j8hNNpQKKeUnJCVri+Rn7RrmOXccaXfyyycPpnJjCkwqPn/bUubXzo7fE4ADbR5+9PCuVMXvq9ZVcdmqUipLZpdzNJVp6xvjouWZYZnnCrtFQ2vP2FlxCvJMfyY9fCiRSJBIJLBYLMyfPx+r1UoikZjst50S9Ax7Uw4BJNVXHn7xCL3DmQm3p2V3yMtDfz+Spg7z7v5+eoez3yIccAZTDgFAJJbg/546QGuWCgY+jxffzueI+47bifceJDbYmpVdgKHRIH948bgKTjwh8rMnm+jo6Mva9kwhHvTiHnbyy6ebWFZv57l3O1IOAcDru3qZe6yGxpgvwhPbR6goNvLoq81sWFyScgggmRj84pZOuge9KYcAoG8kyJZhAzJjIYnufcRCAf72WnPKIQB4fksnjgItTncQTljUXz3fwW+eOphyCAAeeqMfT/VFAIS6DhDqOpTz65Jn+nCow5VyCCCZ0PnS9i4CgcC569RZpKXbxa+fPJByCACeeaedAVdeUGGq4PKGiETjU6peSnGBlpYe97nuRp5pwqTvFDQ0NEy4pS+VSrHZbFx66aV85jOfSSUjzyRGPROpr3jSHubPhEAoRnt/pgzfRMpBp4vLm2ljyBUkmKViUjToQxxszmiPjfRkZReSE/HJQXDBcAyvP6/KMU485COstNAz1MLahcW8tjPzukdOeNg42uVmzQIH4Uh8wvGqUsom/KE5NBDlEnMRjA0TCEUmVEaJRBMMjgYw6sxIJAKJhIhCLk2Tqx1nLCJjPDgiMtR56h84z4yjcyBzzmvpGcMTiDILdCvwB6OMejKV1lwTqNzlOTe09Y5NmSTjcRwFWp5+u+2DD8yTh7OwU/D1r3+d1atX85vf/IbnnnuO//u//2PNmjV88Ytf5Jvf/Ca7d+/mu9/97mR345wwkSrE4rpCTFlKlRl0chbOySz4ZTNnp2oETJggVV1izFpeTa41IK1antnumJOVXUgWaJFJ04eyxaDCYsz+eswUpBoj6mA/jVUWOvo9zK3IVHJRyo8n9a5ssOF0BzHqFGiUMiSS9B+5aCzOgtrMMbi6UklsOPnwrtcocZykwCURQCGXUGrXE4+LKVUMrz+SoVYklQhYFccfeFRl807zU+eZSUyUj7V0ro2igtkRJmjSKyg9qZifIIA9B/N+ntzQ2pMpuXyuMemURGMJXBM4lHnynMykOwW//e1v+elPf8qaNWuoqqpi7dq1/PjHP+aPf/wj5513Hj/96U95/fXX3/P8T3/601xzzTVcd9113H777Rw+nIxBbm9v55ZbbuGyyy7jlltuoaOjY7I/ymlTXKjl5ovmpB5Yq0uMXHd+LYWW7HZFiiw6br5oTkqeTi6TcOulcym1Zb/b4rCouPfa+SiPKSY5CrR87OrGrJOYdTot6vnnIy+bn2wQJCiXXoXUWpFtl7FZDXzh5ka0xxSTLAYVn7+pgZLSvPrQOFKlBlNZLfdcVs3AiI/1i4pTDxhKuZS7L5/HtoPJ4oKNVSYuadAilcDNF9Xx8rZOPnXDQjSq5MZioUnNptWVqJVSzltckpKwXdtYwAJZO4mQH/nSawhLNVy1rirlrKqVMm6/bB7eQBS7WY1SIU0pE7V0u7n32vkpZS6tSsbnrq1Ce/AJECQYV1+DsvT0k+zyzBxqS3Rcsqqccf908ZxC1i0oOredOotUOEx84voFqYdOtVLGP1y/AEdBvmr7VKGlx52xEHKuEQSBkkIdrfl6BXlOgUkPH/L5fASDQfT64woJwWAQrzcZi1xQUEAo9N4e7AMPPJA69+WXX+arX/0qjz/+ON/4xje4/fbbufbaa3nyySe5//77+cMf/jC5H+Y0qS4xIZcJzKu0EAzHKLJqqSvPXKE9ExqrC/jc7UtwukOoFTJsJhX2guzVnIptRlYLAtXFBnzBKAUmNXPKctNnS3kNvov/mVGnD7lcisqqw2ozZW1Xb9SxaE6Mb31sGWO+KFaDAnv+hzKNWDzBoGghRohPXreARELkszcvwh+OYVBJKZR6WF5dQyQuYpX4UapkODQBosEx1lxZwqho4FufWIM3EMGoU4IAY94wF68oY9OaCqRSgXhcZNhXTuHcC4lJpHi9fubaZHz9w4sZ8sRRKWWo5DLcvhBSqYRSlYxv/8MaYgkRXyCKXiPn6x9eRtDvx6hTUlSoJ177BQSpDLnZgSB77+kqHk/QO+xjZCyE1aiixKZHKpk6W/h5sqe2vIC7lHFuXShBjMeRm+1YijN3q2YyS+psfOmu5YyMhdBr5DisSqymmak+NB1p7x1jRf3UW4xyWLW09rhZPgX7lmdqMelOwXXXXcdHP/pR7r77boqKihgcHOQPf/gD119/PQBvv/02VVXvrT5zojPh8/kQBIGRkREOHTrEb3/7WwCuuuoqvv3tbzM6OorFMnVUGJq7XTz1Ziuv7+oFkkXHPn/HspT+ezbsPjrEfz+0K1U1duOKMq5eV01tljrtHb2jvLKzjyffbEUUkyu2/3L7UlY2OrLu84GWYX785z0MjiYTA5fNs3H7JbXUVWZ3PbwuJ2/uHeKXz7aQSIgo5VI+f1M9a5blC1lB0iF4fVc3gWCMR15q4rLVlexqGkpVupxbqucfVopYQr2MbX2asKMGSurw7Pg7iAkEhQrltd/mf1/o4XCHi49fO5+2vjFe2d6NTCrwjzcuwuOP8NDzR4glRD52TSN/fukonmM5HRcuK8UXjFJTYuTd/f2p5OSGKgtXrKvixw/vIhYXkcsk/PPlxVTu/TmRgIfgVZ9G17geQSJ9z88GycTyt/b08pM/7yYWF5FJJXz2tiVsWFSSEfaUZ/oy0tWO/80/EuvcC4DUUgxX/DOWiuxDEKcLW/b3898P7yIYjiEIcOPGOVywtIjyoqnzuzdbCYSijHpDFJqnVvgQJKMWjna5znU38kwDJj186Etf+hJ33HEHzz77LN/73vd45plnuP322/nSl74EwOrVq3nwwQff18bXvvY1LrjgAn70ox/xwAMP0N/fj91uRypNPiyMJy339/dP9sc5LXqGfCmHAJIJYX9+qSnrQiJ9Qz7+9MKRlEMA8Or2bnqHfVnZBegfDfHEG62pxF1/KMavnzpIe192E8qY18vft3SmHAKAnUeGaO3Lvs8DzgC/fKY5FZ8ejsb5yeNN9HT2fsCZs4PeIR97moZ5cWsnUomEUCSWcggAmnq87PMV4t33GogJNHOW49n+LIjJxGNBImNXs5PDHS5UCilqpYxXtncDsHqBA7c3zJ9fPkoklmBlg53XdvSkHAKA13b20FhtxeUNp6kVHWofpa13DMWxXIZoLMHPXugn3Hg1JGIMP/u/REc+WEGqb9jHT/+yJ6VcFIsn+Okju+l1Zj+28kwdon1NKYcAID7aR2D/a/h8s+M+t/a4+OUT+wmGk4n/ogiPvtJM/0g+0Xgq0NHvociqnZI7lMUF+fChPKfGpO8USCQSLrnkEmw2Gy7X8QfLxx57jBtvvPGUipJ85zvfAeCJJ57g+9//Pvfdd19O+nbgwIEJ23fu3JkT+6NjmSvVzd1uPP4IvR1HztiuvrCKlu7ML7jLG8q676OhzBWnfqcffzCWlW17SfWEKxWdA15cLhdtbWeujhAT9Zxcxd0fjOLxR3J2L8eZyF4uirW811jMBX7M2K1a3tjdS0OVhc7+TEncvR1eVpvshAMexFi6YpDMbOdQX7KtwKROc0aLC3QET1AoKrPr2XpwIMN+PJ6gvS9TPaZ3yEehSU3nMWchFInjRYsFIB7D1d9FT9fQ+36+kMScJtMISSWlrt5hhrqPvu+5J5Pr8TJdmczxeCbMnz+f2GB7RrvYd4h4KMTOpqZz0Kuzi0xfxrA7mNE+6glP2XE71efGcXJx/bYd9aGSRmk6Onlj8Uxti6KI1x/mzXe2oVW9/85rtkzVsQi5GY8znUl3Cl5++WW++MUvUlFRQUtLC7W1tTQ3N7N06VJuvPHG07J13XXXcf/996fCkOLxOFKplHg8ztDQEA7H6YW4THZFY//uTNnHxmorJq2SuvIzf4+BET8NVWb2tYyktReY1CxbVHvGdgG2Hcp8oCu36zFoFZTXnHmf/f4A82sKGBjpSmuvLjFgNpuzuuatLd1IJQLxEzwDo06BSa+koSF3k8BkVmuczKqd3YMe3j3QRG2pie5BLxuXl7O/1Zl2zPIaA9F9yXsvyNKVpqKj/Syar2TrERgaDWAxHM/X6BrwMrfCjF4jxxuI0tY7xrwKC4c7RtNsyKQSastMGY5hRZGevc3DqdcalQyD6E31w1xSid36/kV3+oZ9KBVSwifUXVAppFSV2igurP6gy5NiJlTjzNUP8lSsaCx3zCFy4OW0Nkn5YlR6/bS/b6dCe58Lh1VL/0k7zYUmFcvqZ+7nny4Vjd9p2c3cagtz67IPtZ2IM61oPE5F80G01gqWzZu8vIKZMIfOdiY9fOjHP/4x3/3ud3niiSdQq9U88cQTfOtb32L+/PkfeK7f708LCXr11VcxGo1YrVbq6+t55plnAHjmmWeor6+fUvkEAKU2HVetr0qpZRQXaLlx4xxsE8h+ng5FVi23XTIvJR8qkQhcd35NTlQPHBY5d14+D5k02WmLQcW912avPqTVarhkRSlVxcndE0GAC5aVUu3IPjm6yKbjvhvmpRSTdGo5/3JjA8VlxVnbngkUF+rZsLiEjctLUSlkiKLIwhPkRFfUmWmQdWFcfgWCTIH/8LuY1t+EIE2qOUlkchbWWFnZUEQklmDUE+S682uQSAS2HRrApFNw+2Xz0Knl7G4aYv3i4pRCikQicPX6KnY1DaNRSmmsPi4ruaqxiAqHIaXprVXJuO9yB4oDTyEo1Niu+yxyywf/wDoKtHzhjmWolck1Do1KxhfvXD7lVEDyZIe0qBbFvA2p17LiOtT1G6ac8zJZVBWb+cT1C1KFseQyCfdc1UCxdXZ8/qlOa+8YxdapO+c4CrRpxf/y5JkIQRRPLvuUW5YuXcquXbsAWLFiBdu3byeRSLBu3To2b978vuc6nU4+/elPEwwGkUgkGI1G/vVf/5XGxkZaW1v58pe/jMfjwWAw8MADD1BdfWqrguFwmAMHDkz6TgFA/7CXQVeQYDiGzaKhpsSUM9st3W4GXX60KjkOiyYn6kMAI2Nj9A5H8AUi2EwaanOkmATQ1+dkaNSHXCal0KLFZsuNI+fzBhhxjuLxhbEYVZSU576k+2SsgrzfWMwliXiMwSEX7pCA2xehwKjCH4oRjMQoNcsxhvoJyfU4QwoEMYFGpyUWDjHmC2PQq0GqJByNEY3GQQCTRo43FMcfjmEzKpHLBBLxBH5/iGgsjt6gxeWNopRLEBGRSKTERVDKJQRDMeREscqDCHI1HrSMecOoVLKk8lHUQ0yhZ0TUYzWosR1zMMKRGL3DfkKRGA6rFvMJOxaiKNLW68Z5TH2outh02knGM2GVK9vPcLbG45nSN+xm0BkkFk/gsKopdUythaCzQWuXk2F3CINWgcOqxjxD1YfO1ljMxfc+Hk9w89ee5St3r0CpmJwAjGx3Cva1OGntcXP/vatz2Kt0ZsIcOtuZ9PAhq9WK0+mkoKCAkpISdu/ejdlsJpFIfOC5BQUF/OUvf5nwfzU1NTz66KO57m5Oae1x8cKWLp7f0oEogt2i4b5bl7CgJnsZvf0tTn70yC6GXUEkAlyxroqLV1RQU5rdin5H/yjv7Bvi0ZePEk+ImHRKPnvbkpxsOba29/Pjvx6kYyC5/X3REjsfOq+CsvLstlt9Hg+Bpq0kXv0N2liEqFLDyBX/jLVhRdZ9ngkkYlE8R7azt1/BL1/uZ9GcQiwGJS9t60IUocii5rNXlfHcrh72tHv5xxsX0+328qsn9hOKxFEqpNxx2TyeequVkbEQV62wcV61lN+95eNor5eLlpdx+Qo7b+3p46ktfSmb993YyNd+sY2ECAUmFfdeuwB/LIh9aCvsepyAmECqM6PY+Bm2H4W/b05+T4qtWjatVfGbp9/GoFXwtY+spKRQx6OvHOWpt9qSxxRo+co9K6h0JMf79kOD/OChnQTDMZQKKZ+9ZQlrFhZPyaS/PGfGkc4R/vZqC1sOJMPcqkuM/MN182monj2ypPsO9/DAw/vx+CPIpAL3XFbDqkYHRXn1oXNKn9OPQauYNIcgF5TadDy/peNcdyPPFGfSw4duuummVJzrPffcw9133821117LbbfdNtlvfc7pHfanHnQABkcDPPrKUQZGs1PL6Bv286cXjzDsSiadJUR45u12+nKgtjI0GuGRF5tS8fluX5hfP3mAzn53VnZ9njFe2NqdcggAXtk9SFt/9n0OO/vwvfTLVIJsIhzA+/zPGO3pzNr2TCA63E2PM8D/e6GXaCxBfaWFF7d2pcblwGiQRzaPMhaWcvPFdQy5AvzymEMAEI7Eeej5I2xcVo4owrYWH+/0Kjna60UiEVhSV8iIO8iTm/vSbD72Rjsbl5UC4HSHeOrNVgxCEHb+LaVsFPe5kGx9kEjAlzq3b8TP3mYnDVUWPP4IP35kF0c6Rnnyzbbjxzj9PPxiE+FojH6nL+UQjPf3vx/eRV8O1LjyTB1ausdSDgFAW+8Yb+zpJRyeHeo7vX1O/uexQyllr1hc5NfPteB05cf5uaajz4NjCocOQVISPRpLMDKWmayeJ884k+4UfOITn+Cyyy4DkonCL7zwAo899hif/exnJ/utzzlDJ8hvjnO4fRSvP5qVXV8wwpGTEjkBRsayL2M+kbpFz5APbyC7PvsDEXa1ZiomtU2gSHO6RD0jqYfMcRJBLzGfO2vbM4GY14krqiAhJnM5TkzIHedQ+yhVxQa0KgUSiZBxTPhY2BBAhcPAnpbk+DNqFQgSAecE4+ZAxxgNFcd3rg53jCKdoABZdLCNufb09qZOV6pi94g7NKHc7t5mJ75AlFFPKOUQpGzmf/xmHBOplx1oHWHUOzucAp8/zMBo5ph25sf5OaetbywV5jhVEQSBcrueo13uc92VPFOYSXcKTqa4uJiampqz/bbnhIIJipjMLTdjUMuzsqtVyyasjGwxZB93aTVmVgIuLtCizbbPGiWLqjIlWqsc2cfDyg1WENKHskStQ6rNLpRqpiDTWzHJowhCUttcIc/82s+tMNE54CEQjqYKwJ2IQnb8nO4BLwuqk+PP44+QSIhYTeoMm/XlBpq6jzt9deVm4rFYxnFyWwWtQ+lOyJwyU0qm1GxQ4pggX2Z+tRWdWo5Zr0KlSO+vTCpJU0nKM/2pLTVltNVXWtCrzvrP2DlBq1FgM2d+z6yGzLY8Z5fWHveU3ymAZLJxvohZnvdjdsym54hSm5aLlpelXluNKm6+pC7rhOCSQj23XzYPs/64E3DpqnJKCrOflIosaj50YW1KMUmnlvPxa+dTVWzKyq7OYODy1eWUFBz/AVs/v5DqHDgFSmsJ2o0fBUlytVmQK9Ff+imsZZVZ254JyAvKKLEo+PjFyRj7lh43FywtTf3fYlBx+zobSqI8+vJRCkxq7r12PvJjjoBcJuG2y+bx+s5kwbJF5Wo2lMeptGuIJ0T2tzkpNKnYtLwoZdNqVHHjhTW8eKzImUmv5Lrza/CIalh8LePbDhK1HlbfRVx+fFwUmtQsnWvjYNtIUpHo1qXUV1rYtKby+DFmNXdsmodSIcNRoOVzty9NOS4yqYT7bllMSWFuEu/zTA3qyk0smXu8+nmZXc+Fy0rR6WbHfS4tKeSfrq9Hq0rOcxIBPnxpNQWWqf8wOtPpHPBSNA2cgjKbPkMuOk+eE5l09aGpyNlUHxoY8TI4GiIUjlFoVlOdQ/Wh5m4XA04/GrWcIrOaEnvmSvyZ4BzzMjAcxheKUmBUUVuWO/Wh3r4hBp1+5HIpdosGmz03SYJ+n4+4s5uE34XEUIjSVp5zxYrpqj4UdQ0Q948RUxro9kjwhhNYDWrc3hCxhEihQU40GiUuShAFKbF4AqVCSiSSwO2LYNIrUCukeHxBtLI4BRoBVyCBXGPAfSy+2axXIcbD+H0hQtE4ZqOGSEICSPAEImiUcjRqKU53CJNOjiE2iiTsI6ErQKK1gCDQN+xDIpUQiyXfXyGTEI4mMOgUFBfoiMYS9Az58Pgj6DVy9Bp5agchkRDpc/oYGQthNqgoKdSddpLxTFDOmOnqQ139HgZGA0RjCRyFWqqLZ99uYHvnIE6XH4NWia1Qh9k0M6/BdFEf8gYifPQ/XuTrH1mVkleeDLJVHwIIhKL84KGdPPKdKydFhGEmzKGznambKj8DaOt188auXp58s5V4QqS8SM+nP7QoTav9TDnYNsLP/rqX7kEvMqnADRfUsmFxCZVZ/kh297vYfsTJQ88fIRJLYLdo+KebFrG4zpZ1n4+2D/Orp49wpNOFRIBLVpZz/XooKc7OMQgGgvibd+F/+ZeIkSBSrRHd5f+Mcu7irPs8nRETcfxN2xh+5meI9jp2mC/n4bf6icVFSm06rlhbiQgMuwQef72F1fMddA962X00WUxsVWMRZr0ShVzK+kYzZV0v4paa+VmLhQtW1nBgbyev7+rhrsvr+clf9uB0h1AqpMmdpqEwhUYNz73bQVNX8n5fuKyMcDTOjsOD3H7ZXF7Y4qLP2c2Fy0q56aI5qNUK/vP321J2br6ojjd399Az5OPWS+dy9foqwpEYP35kF25vGLVSxmduXszaBQ6kUgmlNj2ltpkpz5gHjnaO8sw77by+qwdRhMZqC3df0UBDVfbz6XRhd9Mg//OXvQy7gygVUu6+vJ6VjVBknZmOwXSgvW+M4gLdpDoEuUKjkmPQKuge9KZytvLkOZF8+NAk0jfs57HXW1JKPl0DXh57rZlBV2YC8ukw6PTx55eb6B5MxlzH4iJ/eaV5wmTM07btDvPbZw4RiSUTdwdHA/zfUwfpHHBnZTcSifDSjl6OdCbjGRMivLC1iyM92ffZP9iD7/mfIUaSCXdx/xi+v/8PIz3dWduezkRH+hh64seIkSAj5Rv54+t9xOLJsdgz5GPboQFCoRjPb+4gFIkjCKQcAoCtBwfQaRS8tK0Ljy9MsOlddvodyFRqXL4Qz2/pZN2iEp55ux2nO5nkHo7EefjFJqocRva2OGnqOn6/X9nRTUWRgUgswe+eOcQFS0sRRXh1Rw99wwF+/KedaXYefP4wGxaXEE+IPPT8EQ53jPJfD+7EfSyxNBiO8cOHdtIzlFdfmQ209o7x2s6elALVwbZR3tnbRyiUvcDCdKCzz80vHj+QEoMIR+L86skD9A7Pjs8/Veno86SKNU4Hyuz6CYVK8uSBvFMwqQxOoD60v3UEjy87tQxPIMr+lpGM9nGJ0mwYnEDdoqPfk7VikmvMz57m4Yz2lp4cqA+NDUMiPYE17ncT9c3uhKqY5/h1cYYVGf/f1zKCvUBL50By1WgiVYrkKpiWPmcASdEctraHqCk1psa21aiif8Sfdo4oQiQa51B75hgddAUw6ZQkxKRC0Dhub4ie4QnsnHBM37Af90nfnXhCZChLJzvP9GB8QeFE9jQP4/JFzkFvzj5uX2TChZ+hHMz7ec6ctt6xaeUUlNr0E87NefJA3imYVCZSA6oqNqBTZxe1pVHLqSrO3Poz5UB9yDyBDbtFgyZL9SGDVkXtBIXVyu3ZJwnKdGZSepnHEJQaZJrZvT0q1R6/LkZ5plNXU2zE7Qlht2joc/qoKMoMvSm16RhyBbCZVCScncwvVtDv9GE1JhODfcFoWsL7OHK5NFVY7ESsBlVKZ11+ggqSXquYUC3oRNWjApMatTL9uyMIpFU2zjNzmSjcYU6pCYNaOsHRMw+dRjbhd2Si71+es0db3xhF0yjZu6JIz+H2/E5BnonJOwWTSIlNz9oFx6v1GrQKbrt0Lo6C7OKeSwp13Hn5PHQnPKivX1ScE7UVh0XNFesqU69VCin3XjOf6izVh9QaNVevq0yTPF1Qa2VeWfYx4CqLHfV5d5JyDCQytBd/goLyyqxtT2fk1hKsl3wEELA5d3LxouOx11q1nEtWlRONx7l6QzW+QDSVoDtOpcOATCphXqUFu1WDzFLCuiIfrd0uHFYNS+oKeWNnNzdcWJv28H7F2koGRvwsr7el3e/Gaitj/gjxRIJrz6tm+6FBAOZVmCmyavnsrUvSpFCvWFuZCme6cFkpDVUW7rtlMTJp8r0EAT56dSNlOXAs80x96ivNzKs4LnpgM6u5eGU5Wu30eSDLhppSCx+/bn7ad+Ta86pxWPNOwbkiHk/QO+TDbp0+OwU2s4YxfyQVhpknz4nk1YcmWX2oc2CModEggVAUR4FuwvoCZ2y7f4wRTxiVQkKhQUGhNTcr471DXgZHA3gCEYosGuZV5i6Rr39ghIRnGEEqQ24soLDAlBO73tFRQq5BYl43MmMBOnspak1u9buno/pQIhohOtJL3O8ipLbR64FgJIHBoGXEE8KglaOSCfhDMXyBKAUmNS5fBKlEil4jIxITMeoUuL1hrDopvmAUEQkIAlKplFFPCAEoNKnwBiIkEJBLBQRBQK8Q8UYkePwRpBIBk16JNxBBLpWgkEsYdiUTisvsOooL9Yy4Awy7Q4z5wliNKjQqGUOjQSQSAY1aTnmRHqlEQvegh95hP0adgppiI2pVdrtY47zf/Y0HvcTGnEhUWuSm00u6F0WRmHuQRCSEzFiAVDV5TsxMVx/qHhij1xkgHk9QXKjNWip5uhEIBOgaCjI4GsCgVVJkUeMonJnJ9dNBfah70Mv9v9zMv9y2NMe9yiQX6kPj/OG5Q9xwYS1rFhTnxN44efWh6U9efWgS6ex3s/nAIH99pZlwNM68SjMfuaoxJ2oZh9pG+L+nDnC0241SIeWWi+tY1QjlRdk5BkNON4dbhvjVs80EQjEqi3T80w0NzK1xfPDJH2S7s4PoO38i1r4TpDJYdg2D9RdiL81uYhLFBNLRdvxP/38kAh5kJjv6a+8DTW4m0OmMRK5AWVTFcLeE4JsPom3djvKyf+XVnUqe39JJPCGyZn4RNzdEMbz8I5DIsG76Mn/eFWbboUFkUoFLV1Uwp8zES1uHeWtvL4IgcNGyMtYvLuax11u488IyjraO8tsXOwmGY9SWGLhr0xwODUaxGlW8tK2THYeHkEkFrlxfxYZFxfz7r7fiDUQps+n4wl3L2HF4gJ88sge3L0yRVcN9tyyhd9jP9kMDvLWnF4CNy8u49vxannyjlVd2dCMIAleureTGi+ZgmcQCTuGBdoae/h+iQ51IlBqsmz6Obt4aBNkHOyOJaAjfgbcYeel3iNEQiuI52K76NIrC8knr70ylucvJqzv7+Pu7HcQTIisb7Ny0cQ7zZpH6UEuvn//32D56hnzo1HI+clUDElkcu9l0rrs2K+no80yLomUnU16k50DbSM6dgjzTn3z40CTSM+TnoeePEI4mq7Ue6XDx5JttjIxlpxYx6A7w11ebOdrtBpIqFH947nBO1IeGR7z85G+HCYSSCaodAz5+9fQRBgazi0EMh8NED72edAgA4jFC2x6DkY4se5xU2Rn863+RCCSTlmPuQQYf+wExbz5uEmDMF8J34A1irduRmh00By08e+zBCmDzgQG29smQ6i1I9Rbe7YRtx0J7YnGRt/f24fKEeXNPL6KYrAnw0vYuDrePsnZBMfFojP99upVgODlmWno9PP5mBxaDil1NQ+w4PJSy9eQbbXQN+lhZbwege8jHnqPDfO9321NJxAMjAX765z0MuwO8sbuXhJhUL3p5eze7jgyyeX9/qh9Pv93O3mbnpF27eNDP8N9/QXSoE4BEOMDwkz8lPNx1SueHBzpwPvdzxGjyOx/pa2bk1YdIRPJb96dLW5+PZ95uT43bbYcG2XJw4Bz36uzRNTDGL57Yn1Lb8gWj/Oyve+kbmh2J1lORtr4xbJbpV1G6osjAgdZ8snGeTPJOwSQyMJKpirK7aYhRT3ZqER5POE06cpyJlINOl8EJ+tzU7cHrz86R8bo9xNu2ZbRH+5qzsgsQcw8hxtMTaePeUWKeyXtYnE4EvT5knTsAkFSvpKl7LOOYd5sDUFSP6Gjg3cPpPxZVxUa2Hsp8+GrtG8NiUOJ0Z46ZPc0jKBXSCVWyDrePsm5RSeq1PxhLUxkC0GnkE/5obTs0mFGLY9skPhjG/S4iGWNUJOY6tfeMjfZntAVbdhIPuLPv3Czj0ATJkdsPD9LvzF7BbDrg8oTpGvCmtSVEGJhA5S7P2aGtd3olGY9TZtfTO+wjEMpOVTDPzCPvFEwipglUIcrterRZxkCrlDLKJ1CKMeoyZSdPl4n6XGhSo1Zm12e1WoNQWJ3RLrWWTHD06SHVZqrcCAoVUvXMjLU9XWQqNfGCY9d+qJWSwswfsTlFSnD3Irh7mVOSft0GR/3UTVDV2mHV4g1E0Gszx11JgZZ4QqTMnnkPyux62vqOy0uqlVJOrvvj8YcnVNiqLTUxdNJDUF1F7vJ0Tkai0iLVZ4anTDTmJkKqy+ybvLAMiWL6JCZOFconGEtVxQaMmtzklEx1NGrZhPOzKQfzfp4zo6Pfg6Ng+jkFMqmEMptuQkc7z+wm7xRMIqV2PUvqClOv1UoZt102l+IsVYLK7Hru3DQPleK4CsXyehsltuwTGAstWi5bVpR6LZNK+OQ1dZSWFL7PWR+M1qBFs/wqJCfIhEocdUiK5mRlF0BeUIr5gtuPNwgSCi7/B2Tmovc+aRZRYNaiXrwJqdZItPsA8x2yNHlHk17JpXME4sMdxAeauaJRleZgalVyFtcVUmA6riRUWqhjboWZHYeH0GmUXLDg+IOzQibhnivq8AeibFhckvYgU1NipK7cxF9ebgFAKhGoLjZy1+X1qWMkAtx6yTyKrNq0eF27Rc36xcVp6rPlRTpWNkzefZbpzBRe+alkDswx9Ms2obBVntL5iqIqtI0bUq8FmYKCy+5Fqsk7rKdLQ5WZqpPH7aoKNDkWFJiqzCmz8LGrG5FKjn8BLl1VjmMahq/MBLyBCIFQdEJHbTpQ4TCwd4LaQXlmN3n1oUlWH+ob8tE95CUUieMo0FBXbsmZ7UNtI/Q5/WhUMooLtRPqwp8JvX0jDLt8eH1h7AU6bIVmTDlK5Bzu68PtDSOVCOj1agqL7Dmxm4iECA+0EfeOIjPZURZVIkhzu4I4HdWHxonFEwScfcTDYVwJDTGJkqHRINFYggKzmgJZAKV/gJhEyZiyCFEqZ2AkgFQiwWJQ0u/04yjQMuwKIAIlNh16jYKh0QAKmQSNNMqwN4Y3EMNh1SKVS4klRARRIBJLMDgaQCmX4ijQkBBFwtEEWqWMQDiGQaMgIYrE4iLD7iA2sxqjLqlU5A9GGRkLoZBLqSkxUWhWM+QK0D3oRRAEKor0qZoJ2fJe91cUE0SdPURdA0jUBhSFZUhVp746GA/6iAx3kggFkFscKApKc9LfiZjp6kNtPS56hv3E4gnKbDrm5HA+nQ54PEE6hnwMOAMYdQqKrBoqcjTvTzWmuvrQ/hYnv3pyPx+/dsEk9CqTXKoPQbIw5cvbu/jp5y/Mmc28+tD0J68+NIl0D4yx66iTh184gj8UY+k8G7dcXJcT9aHDHSM8/GITe5qH0anl3LFpHlIklDmyW4Ec9QQ40uvnd88cxu0LM6/SzD1XNuTEKTjSMcKTb/by7r4+FHIp119QywaUlBWZsrIriiKh3qM4n/1fYmPDyO2V2K74FMri2qz7PFOIDXXgPLiLN1ylPLV9GBC5Ym0VkVic5x/uZEldIbdfOo+DHSMYNCF2HOlk8/5+VAoZ119Qw8IaC4atv0DZuhOZrYKBVZ/le787wpArSF25iQ9tnMPvnzlCQhS5al010Xicvc1O9hwdRquWc8dl87BZNHQO+Pj9s4cY9YSoLTVx/tISnn6rjavWV3Ogzcmdm+pxe8N8+zdbcbpD1JYa+aebFlNTakp9FptZg8189sJvBEGCorD8jBWDpGod6vLGHPdq9tHaM8I7+wZ56s02ovEE5y8p4cp1InMrZo/6UNewn989c4jmbjcWg4qPXNWAWavCkIPClXlOj/a+6VXJ+GTK7Hr6nX58gQg6TT4ELU+SfPjQJNIzHODXTx7Af0zJZ9eRIZ57tx2XN7uEYOeYnyfeaGPPsa0/XzDKLx7fT+9I9upDnf0+fvrn3SklmCMdLn7/7CH6cqBs9M6+ft7e20dChFAkzsMvNtHa6/3gEz+A6Ggfg4/+J7Gx5PWIDnYw+Nh/E/O5PuDM2UE84GX4uZ/TkijjsS2DxOIJYnGRp95qw2pMVgnefXSYtr4xXt7aSXv/GO/uSyr8BMMx/vRCE30jQbzFKwAIVG/k+w/vY8iVHMf1lVZ+9uhe+px+LlpRzhu7e2jucrPnWDK8Pxjll0/sx+ML89M/72bUk0xab+lx88r2buoqzPzhuUPUlpr46Z938/L2Lpzu8WPG+OFDOxnz5dV6ZjvtfT4ePSbvnEiIvLazh22Hhs51t84a3YNefv3kAZqPqc6NekL86JHdtA1kCgfkmXxae6e3UyCTSqh0GNjXkhfkyHOcvFMwiUz0IL3t4CAj7uwecFxjEbZPoAYzkdrR6dLn9JM4KaDscIeLUW926kPdgx62Hsjsc1NX9g/uMfcgYjT9msbGBomN5Sc7gJjHiUQisKUjU2liX/MwVcUGNCoZPUM+1i4qZsv+zPvU0echqkvG7o9gIhyJp/6nUkjx+JOyiNFYgoYqKzubMh/WhlxBEidFK3b0eygu0BGLJ8OHWnrGKDpJ97t7yIfTnb2yVp7pzURqVFsP9DMwS9SHRseCtPamOwCJhJiTeT/P6dPWNzYtaxScSHWJkV0TzNV5Zi95p2ASMUygClFcoEWllE5w9KmjUkonVDzQ50CFwzCBkozFoEIlzy7SzKCWUWLL7HNRDlZaJBOoDAkyBZLTiPueyUhUWhLhIFXWzHFXZjfgdAcJReIYdQp6Bn2UTJAIbzWpkEaSDx9aabpzIUgEJMeSH+UyCcPuwIQ/lnqNnJMzmPQaOeFILHWuXiNP1TsYR62UoVHPDoWZPO/NRAINpTY92izn0+mCWiWfcH7Oxbyf5/SIxxP0DfmwT3OnoLbUxM4jQ8zC1NI870HeKZhEyux65p0glyiXSbh90zxKbdnF/ZfZDdy1qR6Z9Pjta6yyUpoD9aGSAi2r5x9Xc5EIcM+VDdSWmbKyazRouGZDNWrlceeizK6nrjw7uwCKgjKMa65Pa7Ne+jHklrz6EIDcZMOw7kaWW30UGI/HHpv1SgpNKoZcQSQCzC0343QHuGJdZdp9qnQYqLQbUDW/DICx83WuP68y9f/N+/q4+aKkilTLsdCGS1aWI5cdH5/za6xYjWrOX3I8yVYQ4Lrza3ljVy8bFpdwqG2ET92wEPVJD3mfvGHBtF+Ry5M9jdWWtMUQnVrO5Wsr0Otnx9ioK0/md50o37thcTGOCSSG80wuPcM+THolSvn0dkjtFg3RWJw+p/9cdyXPFGFKqw+5XC6+9KUv0dXVhUKhoKKigm9961tYLBbmzp1LXV0dEknyweP73/8+c+eeWmb+2VQfaul20TvsJxiOUVKoZUFtdtKe4wSDQY72+Ogb9qFRySm16dKSMbOho9+NNBJAJkaIyHSYDRoMhtzETh5qG6FnyIdMJqHcrqN2Av37MyEeCjDmdOIPxzCo5egL7UjkuU2emq7qQ2IiTszjJOL30BfWMuCOIiJQVKgjFI4hl4BNGSaGlKAkqTCkVMgYcAaQyQSKC3ToVAL6yDCibxSPppywoMITjDIyFsRiUIEIsYSI1x/BZtGkVv/HfBE0KhkFZjUKqZRwNIZzLIQvEMVmVuMPRpHKJChkUgxaBQatAokAY/4wkWgCrVpBSYEW+Sn++Hr8SZlAo06JQgyRCPqQqPWnpBY0E5QzZrr6UEffGGO+EAkRjBoF1TmaP6YLQy4/HrcPacRLQqpEUOupLjGd625NClNZfej1XT28tLWTWy/JnRrQB5Fr9aFxHn+9hcVzC7lmQ03WtmbCHDrbmdLqQ4IgcO+997Jq1SoAHnjgAX7wgx/w3e9+F4BHHnkErXbqrpL0DXlp6/Xwx+cP4/FHWLewGJlMQn1l9moZnYMBnnu3gy37+zDpVdx1eT1alYKiguwe3j3eENrRowRe+y3BsSFkVcuIrL8VDJmFx06Xnq4+3t7Zx9+396FWyrj7kirMyjhWW0HWtpv6g/zvX1voHPAyv9rKx683UF2cV1SIjjkZ2/oUY94g22Ur+NuWJgCuO7+Go91jmAQf6yT7GNv/ChKVFnHZzcT19by8pw+rUcWz73SQSIhcs6GKxhoLTo+CB/+yD48/wtoFDq47v4a5FRb2H2ln8wE3rd1u7ri8nt89exiPP8xdl9fz4PNH6Bny0VBlYf2iEsLRGHazhgf/fpiOAS/XnlfDhsUl/PmlJg51jHLrJXU8/WYbvU4/82usfPiKeuadwndmf6uT//fXvTjHQnz3xiJUux4hMtiGoqSOwsvuRenI/kcvz7mjp3eYfU3D/OmVdiKxBFevLkEiRqgsz42s8XRA6hlA+c6fiHbuQWayo934MVz6esw5WrTJc2q09bixTeMk4xOZU25m64GBnDgFeaY/Uzp8yGQypRwCgMWLF9PX13cOe3R6dA/7+J9H9+D2hkkkRN7a08uLW7oY82SXGObyBHnmnXbe3ZdU8hn1hPjpX3bTNZR9wl14uBPvUz8gPpZMPoq17yTwxoOMOLNPCH7nwBBPb+klFhfxBqL87MmjtPdn3+c+p49///UWOgeSSkYH2kb4rz9szyvWAL4Db+Ld/RJthuU89GY/oUicUCTOIy8dpcCkZpWiheDeFyERJxHwIL71azS+buZVWvjrqy0EwzHC0TiPvtpCNAb/36N7U+P57b19PPdOO6NjQbYc9vDi1i7uvqqB/3pwJ92DXi5bXcmvnjxAz1Ay4f5Q+yjPb+mgo9/LwGiA1QuKicYSHO128YfnDvHu/n42rankN08dpPfYdvaB1hF+/lhSuej96Bny8u+/3kL3kI/b1hUge/1/iAy2ARDpPcrAX79PzJuv3jmd6Rr08Ktnm/GHYkRjCR57u5vdTbOn+JJzeAT/q78h2rkHgLh7EM+T3yfq7D23HZuFtPaOUTxDQhprS400dbkIhDKFKPLMPqa0U3AiiUSChx9+mI0bN6ba7rrrLq699lp++MMfEolEzmHvJmb8YehE3t3fx7A7u74Oj4XYvK8/rU0UoT8HcYGx0X5IxNPbuvaSyFLe0zk4zCt7M9WADra7s7IL0D/sJxBKT07tGfYzODq7VTniAS/eva+gsFfyVmvmmJPH/CSOvpXRbgj2cKg9/QFaKhHoGcqUj916cADnWIg39iSddZcnnEoUFiBNpQiga8BLkUWDLxglFk8AMK/Cws4jSSc0kRCJxBJp57T2jtHzAZK4fcO+1HsVKwMkgul9jXucRN15lY3pzN7mTKfu1b3DDA+7z35nzgEJ7yixviPpjfEYcVf/xCfkmRREUaS9b2xCsY/piEoho6LIkJKQzjO7mdLhQyfy7W9/G41Gw5133gnA66+/jsPhwOfz8cUvfpGf/exnfO5znzstmwcOHJiwfefOnVn3F0CvyQyLsZk1yOVCVu9hLa7FZtFkOB1alSzrvpdOEHst0RhArszKdkV5OSVWZYbjYjOr2L9/f1ZOXUKRGVoil0kI+sfYubPtjO1OxETXIBcxlO81FrNBp1GjNzuIjfRSYZOx+6T/J6QKpKYi4t50qceowkjBSVWC4wkRgyYzrrfQrEEixiiyaBjzRdCeoBJ0YiL8OEqFlHhCRKWQIpDMmPQFIpj0StzecFpy8jhqpQyJGH3f8ZeQHR8DEWGC+GNBwlggzKEPGMO5+u5PdyZjPGZDbW0tRZbMAoqlViVKRfbz3nSgzGZLKomF0udQQaWdsp9/qs6NJ3M6188bjBONxujvbWfgxKzvs0DT0aZJsWtSRXjmjQMoo9k7mFN1LEJuxuNMZ1o4BQ888ACdnZ38/Oc/TyUWOxwOAHQ6HTfddBO//e1vT9vuZCcaN3WOUuUwpEJkpBKB2y+bS4XDSIUju/e4Y1M9//XgDhLHigrUlhopt+upq6jIyu5gbz/SyiXEO8YfIQU0599DYUkJhSUlWdm+8bwQ+9vGCEePreha1TSUG6moys5uMBTlynUenn2nPdV2z5UNzJ9bgVRSmZXtE5nMJKrJSqYL6aX0P/RNVjtCvKpVpOoJGLQKQnEpvnlXouw7ihhPbh1LzCUMKkooLtRi0ilTRey0ajlFBWqqio209yW10mVSgZsumkNFiYWbN1bzvT/uoWfYy8blZby6o5sjnaOsXeDg3f3Hf2iu2VBNc7eLhbWFDIwkH262HRrkY9c08t9/2sXRLherGovYevB4rYS7Lp/H3Co7QvV7q0n5AlEuWenipW1dPHcwxMcXXAH7n0v933z+rZhqGyiSvrd840xIksvVD/JUTDReUBOg0NTL8LHCdmqljKvXVWAw6qb9fTtVBs/7MP4X/zf1WlqzCsFcyrLimZtXMdUSjXccHqSsKMi8ufMmrU8TMVmJxgB2R5j//dteFi9egnSCxZxTZSbMobOdKe8U/Pd//zcHDhzgl7/8JQpFMnF0bGwMpVKJSqUiFovxwgsvUF9ff457msncCgv/dPMieob8BENRSm06KosMObG9sMrKt/9hDf3DftRKGUUFWurKs1fisJc4GDj/o7CgCzHoQ2opQmotz0GPoXFeGf95r0D3kA+FXEK5XU9ZuSNru2qVnNsvm8uly+wIkQCCSo/dZkIqOburOFMRVelcSj7yAOHhbr5zdyUjURWCIGDSKwmG44x4NMy9+VuI7l5iyIkYSlDGNPjHgnz5ziU4XT4SSChzGBFFgftuWQzBMaKxBHKdAbUchl0BCoxyfvDPGxj1hJlfZWXD4mL6nAHKbDouXF6GyxNOaawvnmNDLhcot+tZWFtIVbERR4GW4gIdPYNezAYlFywtxeUN4yjQUOkwMDIWwmJQpeohnIxOI+fDVzZw3pISRj1hZLYGrAtWkvCOIDMVorBXIbyPQ5Bn6lNb7eDrdwt0D3iJJ0RKbTrm1BSf626dVYSKZehv+ndirgEkGj0Jcxn2GewQTEVae90zTiLZpFdi0is52D7CwhwpJOaZnkxpp6C5uZlf/OIXVFZWcuuttwJQWlrKvffey/33348gCMRiMZYsWcJ99913jnubyYjbT9+wnz+/1ITLG+b8JSUoFTKMBlXWtvtG/byxq4e39vRhMai4Y9M8jDo5dkt2tQrC4TAy3yD+rY+ScPUjq12Fatk1YMnemYl5R7H2v4ts2zNIFBrMG+8iETUjkWd/PRRjXaje/APhvhZUNUuQnncr2HLjzEx3FLZyFLZyupv7eeTFJtr7fSycU0BjtRWzTsnvN3vZfMBPkUXDbZcqeWFLC4c6XCyfZ6e23ESJVcXWA4O4Rka5ongY6b6nkSEiW3oNf+0s4HBfiLsum4coBPjTi0cYGg1w4bJSrr+gljFfhIdfbKKtd4wlc21cuqqcXzyxj6HRABuXl3Hd+bWp2Fy5TMLb+3pp7/Vw+2XzeG1nN10DXhbXFTKvwow3GOXKdVXYzBOrfhh1ShbX2U5oydepmEl09Lk52BPgb6+2EY7EuXxNJaJCSV1Z9mpu0wVJaJTgvpeItW5Dai1Fc95dwOxyjM41Ld1uyu25WdybSjRUWXh7b1/eKZjlTGmnYM6cOTQ1TRxD9/TTT5/l3pw+bX1e/vvhXakqrs9v6UQiESgr1KGdoDLlqTLmCfDClk5e3t4FQO+wjx88uIP7P7Y6a6dgrLcT3xP/CfFksmj08JsQDuAyfBqz2ZiVbd+hd3C9+WcAEiE/Q0/8N447vom6ckFWdqOuQQYe+Q8SwWSORaBpK1HXAMV3fBOpZuZN3mdCd98I3/ztrlQS8PZDg5h0Sg61j7Dt4CAAnQNefvDQDm65ZC67jzp5Z18fc8pNdA35+OtrLXz3SiW8/UfGU4fjb/2RS9d9gtcPROge9vPwi03Ej4Wz/X1zJ6FIHKc7yOGOZILolgP9DLsClNv1dA14ee7dDmKxBJ/60CK8wQjf+/02+p0Bbr2kjl88sT+VOLz14AAefwSdRs7zmzu4c1P9e+4Y5Jm5dA36+MVj+1Ov//JKM2qVbNY4BU7nCIE3/kCsK3kNYoNteB//Hombv42tqvYc92720NbrYfX87He4pxqNVVZ++8whPnn9wvz8OouZNupD05GeIR8nl4Z7Y1cPA6PZqQQNjYV5a0+6DF1C5AMVWk6F+GhfyiEYJ9q2k5gnOznHeNCHd9cLGe3BzoNZ2QWIjvalHIJU21BnXm3mBHoHPSmHYByzQcX2Q4NpbbG4SOwE9R+dSs6eo8NUFRvQ9W7PsKvr3UZ1iZFYPJFyCMZ5Y3cv8yotaW2tvWOUFB53XF/Z0c2IJ8iAM0C/M6kWJYqZqkWHO0apLjbywpZOXN7QaXzyPDOFidRR3tzdy+BI9rLG04GE15VyCMYRYxFio9NHpnu64wtGGfOFM4QYZgKFZg0atYxD7SMffHCeGUveKZhENKrMjRiLUX3K1VnfC4VUitmQmXilVma/8SMoMic7iVqLmGU8tiBTIDPaMtpluuzzICTKCcJJJDIkiqmVKHku0agy7184EkOvydyxOlE1KC6KWAwqPP4IMW3m/YtpC/H4I0glmVOJSafEF0jXvpbLJCRO8JRNeiVKuRSVUsr44tREqkUqhZRoPIHVqEKZ5fcnz/TEaswMM7Qa1ajlsyRXRCqfeH6eoC3P5NDeO0ZxoXbGrqTPr7byxu583YvZTN4pmETK7XpKbcdXRSUC3HbpXMqzTDauKDZwx2XzOFENrdyup9yuz8ougGAtQ1LSkNamXn8nttLSrOxK5ApM628E6XHHRaq3oqpozMougLygFN3CC9PazOfdgtw887Z4z5SKEjNrG9IlcjUqGdedn17Fcm65iSHX8foOiYTIino7Hn+EIfPCNAdMUKgZtCym3+knnkhQW5oeXnbvNfOJxtJX/K/ZUM07e5Mrm4IAn7huASa9itJCHTdeVAdA16CXhbXpfb1qfTVv7+3lnisb0U3gyOSZ+SyoLcCkP+7oK2QSrlxXhcEwOx6KbeUVqNffntYmrViEYMlubs5z6rT2uimaYUnGJ7KgpoB39vYSjyc++OA8M5IpnVMw3amvsvLPtyxBKZcQjyeQyyToNLm55I01Fr5572p6h/1oVDJKCnUZoRpngr2kmIGN/4Aw2okY9CAxFyMpyE7mdBxVWT0l93yPyGAn4VgCQ1UDCkv2D+5SlRbLxjvRzltNzDOC3FKE0lGLIM0P73GMBi2fuG4+G5eN4vTGKDSp0SshLlXybx9dybAriFopo9Ckxu0LU+kwUGjREArF0KnlfPWeFQy7Ajiu+hqGYD8SQSSqL6FlUMIXbrVTaNGxbJ6NkbEQ4UicsiI9Bq2COeUm1i4sZtQTwmpUoVLKmF9tRRAEjDolBq2c0LGqyVesrWRhrZVAKIpZryIYjtHvDGDSKxFFkTULHNSUZJfXkmf6srC2kK/csxyvL0JCFNBrZcyvnl1JkWLlCkwfWYQrqkQjSyCIUewl+cWPs0VTp4viGVK0bCKsRjUWg4rdR4dZXp9XtZqN5J+aJhGXx4fLE+IvrxzF5QlzwdJS1ix0UGDK3vaIO8zuo8O8tbsXs0HFLRfX4fGEMORA2cgVV/PHd0UGhgXWLZFyRUFutucFQUBZVI2yqJqjO3eyLAcOwThx7yie3S8T6WtGU7sUmd6KdIJCbLMZq9WISSsn0Lwd11uPAiKxxit5d9BK/ZwSVs134PVH6BzwIpEI/PmlJtyeMP940yI27+/n3f39zC03sXH5XB5/vYXB0XYuXlnGmvkFPPFGC/taRrhkZTlFBXFnMwkAADFVSURBVFr+68GdIMLGFWVUFOlZu7AYqURg28FB/vTiEURRZOPycvRqGYFwnOc3d6BVy7j54rkcbHXyzr5+Vjbauf6CWkpt2e+A5Zn+9A+5GBke45HXOghF4ly3thSDXKS8LDOsbabiDkt4adsQ2w8OUmrXcdNFc/IaW2eRlh43S+fO7PG2sLaQV7Z35Z2CWUo+fGgSaev188Afd9DaM8aoJ8Rjr7fw9p4+wuFwVnb9/giv7ezhiTdaGfGEaOlx859/2E5rf/YJd10DXr7+i83sbx1h2BPmiTdaeeiFw4SjsQ8++RwRHRtm4JH/INi8nbjfjXfvqww9/f8RD2afeD3TCHUdZPipnxJz9RNzDcDb/8cGe1Il60Cbk5e2dREMx/jVkwdo7RljXqWZF7Z08ty7Hbi9/3979x0fVZU//v81LZPeeyGBkIQSSiAQpBNZCR11VZYV/VrRXdQPKi7FtaCuIK5lkV0X8efuKgsqCitiAcQI0iTUhJKQhBRI75Nkkmn39wcyGhISkkwyk8x5Ph5K5s7cM+8798zce+49530a6R/mxdqPjnE+t5JKTSPl1Y28teUE+04WUFOvw1GtZN0nJyksq6OwvI5N35wnv7iW1MxS0rLK+et/j1FYVkdReT3//fY8CoWczbvOU1qlJadQw2sfpuDr5UxVbSO7juTxt49PUKvt+GzXQu9xuaia17akkVdcS0mllg07L3D2YucSIPQkxeV1bNmdwe4jeVTVNpKWVc7qf6dwJlsMDO0OdVo9lTWN+F0nJXJvMbS/L8fOl1Cn1bf9YqHXEY2CLpRXrDHPOHzVd0fzyC+tv84aN6awoo69KXlNlhlNEvklnT8Jzi/WmGccvmrficuUVdpuxhd9+WWMddVNlukKLqCvKr7OGvZLczq52TK3S4eIDPUkNbOc/acu0agzmuvtqEGB/HT2l9mFDQYThl/1N/X3ciKvWANA32B3c/rRX0vNKqOgrI69KfnNnvvxdAFRYU0HmxeV15n7jp/LqaS4vHPfF6F3OJ5e1mzZ1ylFlNtJ9qGSSi3HzzfNqKZtNHDZAlnnhLZlXqoi2M+l10+K6eKkon+oB/tOigHH9kg0CrqQo7p5lhR3FwdUnZhGHK5kZ3FrYZ4DS2RlUTs0L8NZrUSltN2qIle1kGVIJkemFANSr6V0b57T3eDkRZ1Wj7uLA2qVAoXil4OeTm/E0eFXg8MV1xwQZTLzgPd6bcvZjNxdHJDLZPh6NR8Q6umqbnZFytlRaU5JqpDLUClFtiEBPF2bd2P0cVWicrCPXrBKpazF32eRjat7ZORVNkmn3J0kSUJRV0ld5jFqzx9Cm5uGsb667RU7aERMAN8cyumy8gXbZbtner1AeKA7/tecCM3/TQzhQZ0bLBkR7MGCWwY0WRbo40yfwM7/YPUNdic6zLPJsntnDsLf23Zvmap8w3AeMKbJMo+xt+LgLXrbXss1diKyXzWiZEoHyv3j0dTriI30Zf4tA9DpjeZ6u/2HLO68Ocr8ek29vklGrePnS5gxti8AheV1RAS5NTlxUasURId5MbifD5PjQnH81XMOSjnjhwU3mV/D3cUBJ7XSPKfCHTdHEewnxoYIMCzKD1enXxoGSoWMuePDcXez3d8mS+oX5MpvE5tOUhbVx5MQf/H96A7pudZpFDSWXKRs5z9wykimIe8cuuJc6tJ/onTHekq/fpf67JNIJst2740K86RSc6VrsmBf7OMSi5UM6uvDU78fSdalKjT1evqFeNA3yDI/4IP7erHivtFkX6rC3UVNZKgHAyM6P7Onj4cTf7pnFPklNdQ3GPHxcCQi2LIZX4yN9bi7WC6NoMLJFd9bHqBx8ET0lYWo/PrgGByFrJNzK/QWksmIqVGL3NEZx+D+BN/7F7T55zEYTei9ItDUuPLcA9FEhXmiNxhxdVIR3ceL8uoGtI16YsK9WP7/RpFbUIO7qwOjBw2hqLyemrpGovt4ExrgysA+bpTVGOgT6MYrj4wjI68Snd5IsJ8rQT7O5jr02uIJnM2pQG8w4uflRKPeyHP3J5BfosHFUUXfEHfKKhv4fzMHERHkTnS4V4vzFgj2J6Z/MC/eB1mXqtEZrqTADQ/xbXvFXkKtVjNmcBAhfm7kFNbg5+lERJA7/UM7P9eL0LaMvErGDwvutveTJAlNajL16T/hHDOa6kYFvn3CfnneZERfXkBd+hFqTu7BNXYiLv1HIpN3/s6RXC5j1MBAduzPZsnvRnS6PKHnEI2CLqTTGamt15GaWY6DSoZcLiPA2zInwwaTRE5BNQWlteQX1hLs54LJZELewiRS7VVV28i3h/PIKaxhysgwfDwccbbAxGjG+hrqMn6i+siXODm6UO9wJ07hgyxy8q5080Y5IKHT5fQ2jSV51BzdiTY3Def+I3EZ/htSS9UY1EP55mAupVWFjB8egkIp5+iZYm4e3YdBfVtuXI4dcv0DoqusgkmJI82PY8Kbn6gUlNay7+RlfD0cySmo5ruf8hkW40vSmAhG/irTRX+Rdl1oQWVlDV7aSwzO24nCaEDhNplat6G4unY+41pP4ahWklekwWgwcD63iP7X3NUVukZZlRaD0YS3BbL73QhJkqg59jWNBZl4jJ6F3NEZ8puOyZLJFTj4heHgF4a+qgRt1gnqzhzAPe5mHMNjkck6dy4wamAAb245TqWmAS83+/mO2TvRKOhCZ3PKefXfRzEYrw42LkCnM9I32LNT5ZpMJnYfyWPbD1nmZT+dL2LVwzcRG9m5K2eXSjQ8++5Bc/eN/357nrIqLY/cNqTTfbvrMo5StvMf5sdFm18i+J6XcQwb0MpaQkcZNBUUb11zJcsQXGkcXMrAbdwfWfH+CXO93LIr/edJzCQ++vocj905HLWF+2nXN+j557bTBPq6su2HLIorrgwezimq4dzFSl54aEyL4xEE4SpDcTaa/6258jfA5fO4TPsjBNtH6sRGnYGPvj7XZMbZI2kVvP7ERKv1dbcX53Mr6BPohkzWPYOMa8/sp/HyBdxGTmt5zNw1VJ7+qEbcgr6iAE3qPmrTfsQ9Pgl1YL8Ox+DipGJIpC879mdzz4xBba8g9ArivnwXyinU/KpBcMW3R3LJLezcAKHLpXV8czi3yTK9wURukWVSkl5tEFy152gepZXaTpVrbKij+sgX1yyV0Oakdqpc4fr05QXmBoF5WeEFnBrLm9XLvSn59A/1ZN/Jy5R0cl+3pKi8nuPppbg7q8wNgqsy8iopKKuz+HsKvUtj9vFmy3Snvqa6yn6yD12bEaZWqyf/5+xfQtc5m11OiF/3zJeivZRO3flDuA2/+YYaBL+m8g7GfdQM1H0GUHnwc8r3foRB0/GUtROGh/D1wRxq60VaaHshGgVdyEHV/ON1UitRdjKTj1Ihw9mx+ZVcS2RpaSnL0JWMNJ2LWaZQIHds/qMqV9vHIEFrkClb6pYla3G5s6MSSQKVQo7y2gxDFqBUXuk+19KVNpnsyqBjQWiNrKXfCrUbCjvJTqVUyFrMXGfLmeF6izMXKwgP7PpGgaGukupD23AdMhl5ByfflMlkqAP64nnTPBQu7pR9/U9qTn/focHI3u6ODOrrw6d7L3QoFqHnEb8mXahvsHuzPoh3To3u9BWHIF9X7poa3WSZr6cjkSGdHxDcN9ij2Y/f75MGNMui1F5ylSNe438L/HJSKHd0wTEitlPlCten8gnFOWZ0k2XOw26mUOeCl1vTK1BzJkSy7+Rl5t8SQ4C35bOZBPm4Mm9SJBcLqhkW5dfkuWljwgn2FRlUhNY5RAxH5vCr31OZHKf42bi62kfdCfB2Yf4tMU2WRYZ6EBHkbqWI7ENDo4FLJZomWde6giQZqdy/Fcc+g1B5dn7WZJlcgVPEEDwSZtNYlE3pznfRXXPn+EZMGRnKrsO5FIq7uXZBjCnoQgMjfPjTwpFcLq2jQW/E39OJKAsNDBs3NBhPNzVnssvxdnckNtKXyNDOl+3r6cTK+0aTllVOQWkdgyN9GBDuZZG+lE7hgwm65yW0F09jkKvwiBqJ2j+80+UKLVM4ueBzywO4DBiLrvgi6uAo1KED0FTCE/PjyL5cTaWmkYER3qgUMm6f3J8+Qe7Iu2ByHpVSzm2T+nMupxy5XMbMcRGk51USHerFwL7eFh/DIPQ+fpED4Pbn0OedQTI04tAnFnVQx/tM9zRyuYykmyLoH+pJSUU9DkqJgf388fGwXCY3obnzuRWE+Ll2+XwptWcPgMmIY/hgi5Yrd3TFbegUGguzqNj9Aa7Db8YlatQNH9M9XNVMGB7C21uO85c/jO+S44NgO8SRuIvJ5XJOZpRQWF7PjLERFskOBFdmMK6p03OppBZNXSOD+1kuNV+QrytBvpa/KiJTqnAKG4hT2EBOnDiBf4BoEHQ1lbsvqtgJEDvBvCzq5xtBIwdcGaBZWlnPgdOFbNmTQVSYJ9Nv6ks/C9x1upazkxK1g5LtP2Si05uYOymSYVF+OFkgs5XQ+xmMJgqN3vxYdmVQ/DB/H4bb2QSFDY0GcotqSD52ichQNyJCvK0dUq+XmllOeGDX3o3RVxVfyRw0elanswa1RCaT4RjcH5WHH5rUZPSl+XgkzEZ+g9+fcUODSc+tYPOu8/w+aaDF4xNshzgad6Hsy9Ws/McBdAYTAG9/fJIH5gxm3qT+bazZtj1H8/jPV+fMjw+kFvH64xOI6OTEaN3FZDJZOwQBMBiMfLwng29/Hriedamag6cLef3xCRZvGJ7PreS5DYfMj9Oyy3n2vgQSYsUkc0Lb0nMrefafB5F+HiP/9aFclt0Tz7hhIdYNrJvoDEa27Epn1095AGRdrubImRLWPj6RIB/76EJlDaculDJ2aFCXlS+ZjFQd+AynyBEonLq2i5LCxQOPUTOoPXuQ8l3/H96Tf4/Cue3uzHK5jDunxvDe9lQ8XNXMGm8/d+jsjRhT0IWyL1eZGwRXbd17gYqahk6VW16t5bPvM5ssa9QZuVhgH1k4BMsprtCy+0jTTFY1dTpyiyyf0eTHazKnAOz4MQujUTQQhbalnCs2Nwiu2pacSaPeaJ2AullJeT17juY1WVZdqyPPAlnnhJbVN+jJKazp0jsFmrT9IFeiDolq+8UWIFOocI2diNIrkNJv/nnD4wzcXRy4b/ZgPk/O5O0tJ6iubeziSAVrEHcKulBLM7E6qBQoOtknTyaTtZhxorPlCvZHLgOFQo7pmsZrV9SllsYNOKqVV9IPCUIbHFTN+3SrHZR2U31kchlyuRyT8drvqri211XSsssJC3Rrse5Zgq6ikPr0Q3iMntVtcyDAlXMI537DULi4U7H7AzzG3opTaNvzBXm7O/LobUPZczSPh/6yh6H9fRncz4cgXxd8PZ1o0IkLPD2d+DXpQpGhnri7NO2ztzBpIB6u7cs9fC1vd0cWTm/ar8/TVU1kiGenyhXsj7+PC3ckNr1CFeLn2iUZTcYNDWrSUJbJYM6EfqIxK9yQ+IH+TVLXymRwe2IUDnaSkjTQ25nbpzTtehrm3zXfVeGKlHPFFsnq1xKTUU/Vga049R+F3NE6k8+pA/riOvxmqg/9D03aPqRrb8W1wNFByaxx/XhqwQj6BLhxPqeCbcmZvP5RCn/dVsiiV/ew6Ztz4k5CD2XTdwoqKyt55plnyMvLw8HBgfDwcFatWoW3tzcnT57kueeeo7GxkZCQENauXYuPj4+1Q24iLMCNVx4Zy9FzxZRU1jMmNoiBEZYZGDZuaDDebmoOnynCx13F2KFhhHRxyjSh91HIZcwY15fwIHdSzhXTN9idETEB+HlZfv6I6D5erPnjeA6nFaIzmrgpNojoPl4Wfx+hd4oK82L14vEcSStCU9fAhLgwYuyo/igUcmaP70ffYHeOnS8h1M+JhCGh+HqK7ENdQZIkjp4tZsE1aWAtRXN8F3JHV6tn0FJ5+OExegaa0z+gL7uMx9h5KBzarlPOjiriYvyJi/klfeq59PO4eYWQcq6YR9d8x+I7hjN2aHBXhi9YmE03CmQyGQ8++CAJCQkArFmzhtdff52XX36ZpUuX8uqrrxIfH8/f//53Xn/9dV599VUrR9xcRLAHEcGWv9Lg4qQiflAg8YMCOXXqFOEWvFqUU1jN98cukZlfyeQRYYwc6I+3uzjw9FYermrGDg3u8h9vmUxGdLgX0eG/nMhVaho4fq6E74/l0y/Ugykjw+jbBd8XoXeICvMiKsyL1NRUYiMtl3Gtp9CbTNQ16DEYTdRpr/wrdI3cIg0mk0SAt+UvkGjzz6LNO4tHwuxu7TZ0PXJHV9zjk6jPOErpl3/Ha/xtqP37tr8cmYxQfzdC/d0YOUDDu5+fpry6gdkTxMDknsKmuw95enqaGwQAw4cPp6CggLS0NNRqNfHx8QDMnz+fb775xlphWp3B0P6ZCq+nqKyOP//zEJ9/n8npzHL+9slJvtiXLQaDChZnNEns/PEib318glOZZWxLzuLZdw9SUFZr7dAEG6fT6awdQrfTG0x8tvcC6z45xffHLvHJ3mxeeO8QJRX11g6tVzp4qoBBfb0tftKuryml+vAXuA6ZhFzVua7EliSTK3AZMAaX6FFU/vAJVYe2Y2zs+IRlYQFuPDg3lq17L7A3Ja/tFQSbYNONgl8zmUxs3ryZxMRECgsLCQ7+5aqmt7c3JpOJqqoq6wXYS+QU1VCladoX8H/7simpFAcewbJKK+vZltw0i1ZNnY4ckUVLEJopqajnq4M5TZaVVTWQK7IPWZwkSfxw8hKD+1q2S7KxsY6KvR/h1C8OlYdf2ytYgYNfGB43zcWkb6T0f29Tc+o7jI0dO/57uV0Z//je9jQu5FdaOFKhK9h096Ffe+mll3B2dubuu+9m9+7dFikzLS2txeXHjh2zSPndyVIxa42ezZbJZFBWXkZBbrpF3uOq3vI5jxw5stPlXq8u9iTt3Z8OLj4tXoXTarVWqxs9sU52hZ5QH+1tX6lcfGnpmnV9fb3NfhY95bfx2s+vsFKHplaLtqaAdE2hZd7EqMf53B5MTh5oJCfIz293EfkdWKfDnIOQhXqiy89Ec/YgBq8+6P36Y3T1pcWK+LP0jObnCSMjHVn13gEenRGAWmW9a9GWqI+9XY9oFKxZs4bc3Fzeffdd5HI5QUFBFBQUmJ+vqKhALpfj6enZrnJjY2NRq5vevjt27FiPqziWjLmovA4fj0zKq3+ZS+G2yf0ZFBWOQh5hkfcA8Tlfq6W62JN05LMxmSR+m9jIpm/Pm5d5uasZFBlAkG+kpUNsU0+sk9ey1MmhrdfH3rCv2stgNDF7gobtP2SZlwV4OzEwMhB/r97bZ7ur62JLdekfn51i1OAQBsT0sch7GHVaKr77EIW3P84DxnSoS1J+fj5hYWEWiaddIqMxNWppLLhAY95PIJlw7DsUp4ghqDwDmmxLekY6MdHNB2bHREO9KZOjuUqeuCuuO6MX2snmGwVvvPEGaWlpbNiwAQeHK+k9Y2NjaWhoICUlhfj4eLZs2UJSUpKVI7UelUplsbICfVxY9fBNHDhdQGZ+NeOHBxMX7SfSRgoWJ5fLSBobQZCvC/tOXqZfsAfjhwVbfCZlQegNlAo5t07uT2SIOxl5VXi5qRgzJBT/LsgUZs/qG/T8cOIyf7h9qEXKM9RWULH3I5ReAThHxdvEwOL2kqudcOo7FMeIIRg15TQW5VCx90PkSjVOkcNx7jcchXPryU5m3BTBuk9Pcex8MSMHBHRT5EJ72XSj4MKFC/zzn/8kIiKC+fPnAxAaGsr69et57bXXeP7555ukJLVF2ZerOXi6gOKKesYPC2ZwpA+uTg5tr9iG2nodadnl7D95GX9PNW6+1RbL2tIn0J0+XTiDo9Cz5RXVcDitiJzCasYOCWZI/xvLAnO5tJajZ4tIz61k1KAAhkX54ePhxKQRoUwaEdrFUQtCz9fQaEDbaKK0Souzowpto+WSTAhX7DqSS2SIB15ujp0uS5t3luojX+AUMRTHPgPbXsHGyWQylO6+KN19cY4agaGqBF1RNqVnfsQhIAKFWx8kKbrFho/aQcm8SZGs+/gk659JxMXJchczBcux6UZBVFQU6ekt92MfMWIEO3bs6OaI2ievSMOKfxygTqsHIPn4JZ64K46pozt/S3L/qQL+vvWU+fG3R/J57bEJhPq7dbpsQbieovI6nttwyNy9bP/JAu6ZMZAB/q03dCuqtaz+90/kFGoA+PFUATPGRvDA3Fi7mXxKEDqjUW/gi/3Z7DxwEYDDaUUkH7/En+8fTXiQSONrCQ06A5/tzeT3SW3P7tsao1ZDdcrX6ErzcB06BZWnf9sr9TAymRyVVyAqr0CcouLRFWbhmHWAstJzuA2bgjowslnjoH+oJ5Fhnmz8Ik10I7JRPSb7UE+UdanK3CC4atO355pl92mvimotm74512SZpl5P9uXqTpUrCG25WFDTZLwJwMd7MpCpWm+M5hVrzA2Cq745lENhWcdT3gmCPckr0vDt4Zwmy4or6pt9r4SO+/S7C0QEuxPi17EujCaDDk3aPkp3rAOZDI8xc3plg+BacqUDjmEDaeg7BnVgP6oP76Bs10Z0Jc1TkSaNCef4+RJSzhVbIVKhLaJR0IVMLUwZbjBKNzSVeGskwGhsXoapc8UKQptaqrsmk4TURj9ZUwuVUzL/TxCEtkhSy7/xLR1nhPbLzK/i64MXmZYQ3u51JaOB2vOHKdn+Fo2FWbjHz8AlKh65ws66yMhkqIP64TFmDg7+4VTs/5jy7z9CX11qfomjg5LbJvfn7S0nqNQ0tFKYYA2iUdCFIkM8UDs07Rpx19RovNw711fRx8OJO6dGN1nmpFbS14KzGgtCSyKC3HF3adpVaN6kSNC1frWyT6Abgd5NZ8WeGBdCoI+LxWMUhN6oT4Ark68Ze+PlpiZcjP/qtLIqLS9/cIRZ4/vh4XrjmY5MRj215w9TvP1NtLmpuA2bgtvQyShc7Ls7l0wuxzE4Cs+x81A4e1D+7UYqD23HWH+lN0O/EA/iYvxZ+2EKRnE106bY9JiCni4i2IO/PDru524StUwbE8GIAZa5lZg4MgwPVzXfHs4hyMeJmeMjCReNAqGLBfu58tKisez+KZesS9XcPCqMUYMCuHjhbKvr+Xo68+cHxvD9sUukZpUxcXgIY2KDmjWaBUFomaNaxW2T+xMW4MqRM0VEBLkzZWQY/ULs+wS0s4oqdax/Zz8JgwMZEnljSRNM+kbqL6RQe/YACjdvXIdMstnJyKxJJlfiFBGLOiQKbU4apTvW4xQ5HNfBE0iMD+M/X53l/f+l8vCtlsn0JHSeaBR0seg+XkT38cJoNKFQWO7GjIebmsT4MCbFhXD+/DmiwrwsVrYgtKZfiAeLbh3apE5fvIH1+gS6c+/MQRb/LgiCvQgPcic8yJ25EyK5eDGLaAvPuGtPKmsa+Oz7TL49XMqciVEMj2r7pN5YX0Nt+mG0F46h9A7CbVgiSnexD9oiV6lxiRqJU9gAtLlplH6xDqe+Q/ntTWP44Lt83JzP87tpnRvcLViGaBR0k646CVIo5DQ0iH55QvfraJ0WDQJB6ByVSoFGIwYYt1dDo4Gj54r5/lg+Z7LLGRblx+zRXq02CCTJSGPRReozjqIruohDYF/cR01H4Szu0LSX3NEFl5gEnMKHoM0/i3bPBuZ5R/L5YR3VtQ08OG8oSnF8sCrRKBAEQRAEoVfS1OtIOVfM/pOXScsqp0+AG4P7+TD9pggcHZSkZzRPe24y6NAV59Bw6TwNeeeQO7pcGUA77nbkqs7PM2Tv5I7OuETF49R3KLrCbG6rO8aulGKeSM3i4aRwho4ajkwhTk+twS4/9asZVHQ6XYvPNzZ2LmWoNYiYu8f1YnZwcOjQTJVt1cWepCfuz2v1lm2wh/rYG/ZVZ/WEz6A766LJJFFR00BecS3puZWkZpWTV1xL32B3ovt4MmVEMM6OV097TDRq65A3aKi9lI5RU4GxshhDRQEGTTlKNx+U3sG4DJ+K3Mn95zXApLfehHEGK773jWpfjHKUgf3xCezPHbWVnLpQymufZ+O97TSj/GsZ3NeLPhEhOPoEoXD3Re7k1ukZoTtaH+2FTOpsfsweSKPRkJGRYe0whF4kNjYWtfrGs1ZcJeqi0BVEfRRsRVfUxQa9ib9uK0RvaP30RY6JUEU5SpmpHe8sQ1KoQJw4WoVJkpHb2HbXrFBFOU+772y2m3T+0dSN+O111+tofbQXdtkoMJlM1NXVoVKpRItRsIiOXn0QdVHoCqI+CrZC1EXBlog7Ba2zy0aBIAiCIAiCIAi/EMO8BUEQBEEQBMHOiUaBIAiCIAiCINg50SgQBEEQBEEQBDsnGgWCIAiCIAiCYOdEo0AQBEEQBEEQ7JxoFAiCIAiCIAiCnRONAkEQBEEQBEGwc726UVBZWclDDz3EtGnTmD17NosXL6aiogKAkydPMmfOHKZNm8b9999PeXm5eb2nnnqK8ePHExMTQ11dXYtlL1++vNXnbSnmqqoqnnzySaZNm8bMmTN55513bD7mrVu3Mnv2bObOncttt91GSkqK1WO+ePEiCxcuJCkpiVmzZrF8+XIaGhrMZe7du5ekpCR+85vf8H//939otVqLxmwta9asITExkZiYmCYzjCYmJpKUlMTcuXOZO3cu+/fvNz/X2n63ho7WUVvajta2ISYmxvx9mTt3Lunp6eb1elO9vHjxInfddRfTpk3jrrvuIicnx9ohdavrfReFtnX0N8Aa/vCHPzBnzhzmzZvHggULOHfuHGCb9f+dd95pUh9t7bMU2knqxSorK6XDhw+bH69evVpavny5ZDQapalTp0pHjx6VJEmS1q9fLy1btsz8uoMHD0plZWVSdHS0VFtb26zc7777Tlq+fPl1n7e1mBctWiR98MEH5sclJSU2HXNFRYUUFxcnlZaWSpIkSXv27JGmT59u9Zjz8/OlM2fOSJIkSUajUXriiSekd955R5IkSaqtrZXGjh0rXbx4UZIkSVqxYoW0bt06i8ZsLUePHpUKCgqkKVOmSOnp6ebl1z6+qq39bg0d2d+2th3X2wZJkq77W9Tb6uXChQul7du3S5IkSdu3b5cWLlxo5Yi61/W+i0LbOnqcsoaamhrz37t375bmzZsnSZLt1f+0tDTpgQceMNdHW/wshfbp1XcKPD09SUhIMD8ePnw4BQUFpKWloVariY+PB2D+/Pl888035tfddNNN+Pj4tFhmZWUl77zzDsuXL+8RMefk5JCRkcG9995rXubn52fTMUuShCRJ5rsHGo2GwMBAq8ccGhrKoEGDAJDL5QwdOpSCggIA9u3bR2xsLBEREeb1vv76a4vGbC3x8fEEBQXd8Ovb2u/W0JH9bWvbcb1taE1vqpfl5eWcPXuWWbNmATBr1izOnj1rvtprD9r7XRR+0dHjlDW4ubmZ/66trUUmk9lc/dfpdKxatYoXXnjBvMwWP0uhfZTWDqC7mEwmNm/eTGJiIoWFhQQHB5uf8/b2xmQyUVVVhaenZ6vlrFq1iscff7zJl7arWCLmzMxMAgICWLlyJefOncPX15dnnnmGqKgom43Z29ubVatWceutt+Lu7o7JZOLDDz/skng7GnNDQwOfffYZTz75JECz9YKDgyksLOyymG3F008/jSRJjBw5kieffBJ3d/dOfb+6w43ub1vejl9vw1ULFy7EaDQyceJEHnvsMRwcHHpVvSwsLCQgIACFQgGAQqHA39+fwsJCvL29rRyd0JNY6nygK61cuZIDBw4gSRIbN260ufr/9ttvM2fOHEJDQ83LbPWzFG5cr75T8GsvvfQSzs7O3H333R0u46uvvkKlUjF58mTLBdYKS8RsMpk4deoUt912G9u2beOOO+7g0UcftWCUTVki5traWjZt2sTWrVtJTk5m2bJlLF68GEmSLBjpL9obs8FgYMmSJYwZM4abb765S2LqCTZt2sQXX3zBZ599hiRJrFq1ytoh3RBL1FFru3YbkpOT+fzzz9m0aROZmZmsX7/eyhEKgu3qCb8Br7zyCsnJySxZsoTXXnvN2uE0ceLECdLS0liwYIG1QxEszC4aBWvWrCE3N5e33noLuVxOUFBQk9vuFRUVyOXyNluyP/30E4cPHyYxMdF8hW7WrFlkZmbabMxBQUEEBQWZb+fdcsstlJaWdsktR0vF/OOPP+Lm5ka/fv0AmDFjBnl5eVRWVlo9ZqPRyNNPP42HhwfPPvus+XXXrldQUNDrb/Nf3T4HBwcWLFjA8ePHzcs7st+7Q3v2t61ux7XbAL/sC1dXV+64447r7oueXC+DgoIoLi7GaDQCV76LJSUlPXZ7BOuw1HGqu8ybN48jR44QGBhoM/X/6NGjZGVlcfPNN5OYmEhRUREPPPAAubm5Nv1ZCm3r9Y2CN954g7S0NNavX4+DgwMAsbGxNDQ0mDPabNmyhaSkpDbLeuGFF9i3bx979+5l7969AHz55Zf079/fZmOOjY3F2dmZCxcuAFe+zB4eHnh5edlszKGhoZw9e9acteDw4cO4urpaPWaTycSyZctQKBS88soryGQyc1kTJkwgNTXVnA1iy5YtTJ8+3aLx2pL6+no0Gg1wZQzIV199xcCBA4GO7/eu1t79bYvb0dI2VFdXm7NgGQwGvv32W/O+6E310sfHh4EDB/Lll18CV357Bw4cKLoOCTfMkseprlJXV9eki9/evXvx8PCwqfr/8MMP8+OPP5rPhQIDA3n//fd58MEHbeqzFNpPJnVVnwwbcOHCBWbNmkVERASOjo7AlRPO9evXc/z4cZ5//nkaGxsJCQlh7dq1+Pr6ArB48WJOnz5NcXEx/v7+REdH8/777zcrPyYmhuPHj+Pi4mLTMaempvLiiy+i0+lwcnJi5cqVDB061KZj/uCDD/jkk09QqVQ4ODiwbNky890Oa8WcnJzMokWLiI6ONl+hHTFiBM8//zwAe/bsYe3atZhMJgYOHMjq1atxdna2WMzW8vLLL7Nr1y7Kysrw8vLC09OTd999l8ceewyj0YjJZCIyMpJnn30Wf39/gFb3uzV0tI7a0nZcbxsefPBBnnvuOWQyGQaDgbi4OFasWGH+XepN9TIrK4tly5ZRU1ODu7s7a9asMd9RtActfRd37txp7bB6hI7+BnS3srIy/vCHP6DVapHL5Xh4ePCnP/2JwYMH22z9T0xM5N133yU6OtqmPkuh/Xp1o0AQBEEQBEEQhLb1+u5DgiAIgiAIgiC0TjQKBEEQBEEQBMHOiUaBIAiCIAiCINg50SgQBEEQBEEQBDsnGgWCIAiCIAiCYOdEo0AQBEEQBEEQ7JxoFAiC0ExBQQFxcXHm2TNt0cyZMzly5Ii1wxAEQRCEXkE0CgSLMRgM1g5B6ITExEQOHjwIQHBwMCdOnEChUFg5quvbuXMnCQkJnS7nyJEjTJw40QIRCYIgCELPJRoFdmLjxo089thjTZa9/PLLvPzyy2g0GlasWMH48eOZMGECb775pvkKcV5eHvfccw8JCQkkJCTw1FNPUVNTYy4jMTGRDRs2MHv2bIYPHy4aBoIg9HgbNmxgwoQJxMXFMW3aNA4dOoTJZGLDhg1MnTqVhIQEnnjiCaqqqgB4/vnnm/y+rl27lnvvvRcxN6jQGVfrW1xcHDNmzGD37t0AGI1GVq9eTUJCAomJiXz00UfExMSYj7+tHdMFoTWiUWAn5syZw/79+80n9AaDgZ07dzJv3jyWLVuGUqlk165dbN++nQMHDvDpp58CIEkSixYtYv/+/Xz99dcUFRWxbt26JmXv3LmTDRs2kJKSglKp7PZtEzpv6dKlFBQU8MgjjxAXF8d7773X5CCzcOFC3nzzTebPn09cXByPPPIIlZWVPPXUU4wYMYLbb7+dS5cumcvLysrivvvuY/To0UybNo2vvvqqzRiWLVvGCy+8wIMPPkhcXBzz58+ntLSUV155hVGjRpGUlMTZs2fNr//1nY1169bxxBNP8MwzzxAXF8fMmTNJTU01vzYmJobc3Nwm7/Xmm29SX1/PQw89RElJCXFxccTFxVFcXNzqCWBjYyNPP/00CQkJxMfHc/vtt1NWVtapz1+wHdnZ2WzatImtW7dy4sQJ3n//fUJCQvjwww/Zs2cPH330Efv378fDw4NVq1YBV+pTRkYGn3/+OSkpKWzdupU1a9Ygk8msvDVCTxYWFsamTZs4duwYixcvZunSpZSUlPDJJ5+wb98+/ve//7Ft2zb27NnTZL3WjumC0CpJsBsPPPCA9PHHH0uSJEl79+6Vpk+fLpWWlkqDBw+WtFqt+XU7duyQ7r777hbL2L17tzR37lzz4ylTpkiffvppl8YtdI8pU6ZIBw4ckCRJkvLz86Xo6GhJr9dLkiRJd999tzR16lQpNzdXqqmpkaZPny7dcsst0oEDByS9Xi8tXbpUWrZsmSRJklRXVydNnDhR2rp1q6TX66UzZ85Io0ePli5cuNDq+//pT3+SRo8eLaWmpkoNDQ3SwoULpSlTpkjbtm2TDAaD9MYbbzSpl7+O929/+5sUGxsrJScnSwaDQXr99delO+64w/za6OhoKScnp8l7vfHGG5IkSdLhw4elCRMmNInlX//6l3THHXdIhYWFUmNjo/TnP/9ZWrJkiSRJkrR582Zp0aJFUn19vWQwGKTU1FRJo9F06DMXbE9OTo40ZswY6cCBA5JOpzMvT0pKkg4ePGh+XFxcLA0aNMj8HTl58qQ0atQoafLkydKOHTu6PW6h95szZ460e/duaeHChdLmzZvNyw8cOGD+vW7vMV0Qfk1c1rUjt956K5s3b+bOO+/kiy++YO7cuRQUFGAwGBg/frz5dSaTiaCgIADKysp45ZVXSElJoa6uDkmScHd3b1Lu1dcKvdttt91Gnz59AJg4cSKZmZmMHTsWgKSkJN5++20AkpOTCQkJ4fbbbwdg0KBBTJs2jW+++YbFixe3+h6/+c1viI2NNf/93//+l3nz5gEwY8YMNm3adN11R44cyaRJkwCYO3cu//73vzu8rVu2bOG5554jMDAQgMWLFzNlyhQMBgNKpZKqqipyc3MZMGCAOV6hdwgPD2fFihWsW7eOzMxMxo8fz7JlyygoKOCPf/wjcvkvN9jlcjnl5eUEBAQwbNgwQkNDqaioYPr06VbcAqG32L59Ox988AGXL18GoL6+nsrKSkpKSpocd6/+TgFtHtMFoTWiUWBHpk6dygsvvEBGRgbJycksXboUpVKJg4MDhw8fbrHrzxtvvIFMJmPHjh14enqyZ88e8y3zq8Qtcvvg6+tr/lutVjd57OjoSH19PQCXL1/m9OnTxMfHm583Go3MmTOnzffw8fFpUub13qOt+BwdHWlsbDSfxLdXayeAc+fOpaioiCeffJKamhrmzJnDkiVLUKlU7X4fwTbNnj2b2bNnU1tby3PPPcfrr79OYGAgf/nLXxg5cmSL62zatAm9Xo+/vz8bN25k0aJF3Ry10JtcvnyZZ599ln/961/ExcWhUCiYO3cuAH5+fhQVFZlf++u/AwMDWz2mC0JrxJgCO6JWq5k2bRpPPfUUQ4YMITg4GH9/f8aNG8fq1aupra3FZDKRl5fHTz/9BEBdXR3Ozs64ublRXFzMxo0brbwVgq0LCgpi1KhRpKSkmP87ceIEL774otVicnJyQqvVmh+Xlpaa/26pURsYGMh7773XZBtSU1MJCAhApVKxePFivvrqK7Zs2UJycjLbt2/vjs0QukF2djaHDh1Cp9Ph4OCAWq1GLpfzu9/9jrfeest81baiosLcl/vixYu89dZbrF27ltdee42NGzdy7tw5a26G0MNptVpkMhne3t4AfPbZZ1y4cAGA6dOn85///Ifi4mJqamp47733zOu1dUwXhNaIRoGdmTdvHhkZGeYrDgCvvfYaer2eGTNmMGrUKB5//HHzSdPixYs5e/Ys8fHxPPzww9xyyy3WCl3oYr6+vuTn53e6nMmTJ5OTk8P27dvR6/Xo9XpOnz5NVlaWBaLsmAEDBvDll19iNBrZt28fR48eNT/n4+NDVVUVGo3GvKy1E8DDhw+Tnp6O0WjE1dUVpVLZ5I6C0LPpdDr++te/kpCQwPjx46moqODJJ5/knnvuITExkfvvv5+4uDjuvPNOTp8+jcFgYOnSpTz00EMMGDCAiIgIlixZwjPPPINOp7P25gg9VP/+/bn//vuZP38+Y8eOJSMjgxEjRgBw5513Mm7cOObMmcO8efOYNGkSSqXSnEK6tWO6ILRG3FuyM8HBwTg6OjJt2jTzMjc3N1588cUWr+RGRUXx+eefN1l2//33m//eu3dv1wUrdKuHH36Yl19+mbVr1/Loo492uBxXV1fef/99Vq9ezerVq5EkiZiYGJYvX27BaNtn5cqVLFu2jE2bNjF16lSmTp1qfi4yMpKZM2cydepUjEYjO3fu5J577kGSJO6//35KSkrw8fFhxowZTJ06lbKyMp5//nmKi4txdnZmxowZTRrZQs82YMAAtm7d2uJz9913H/fdd1+z5de+fsGCBSxYsKBL4hPsx5IlS1iyZEmLz61YsYIVK1YA8MMPP+Dv72++69naMV0QWiOTJJFI2V6YTCZeffVVamtrefXVV60djiAIgiAI7dTQ0MCRI0cYN24c5eXlPPbYYwwbNoyVK1daOzShhxONAjtRX1/PuHHjCA4OZuPGjSITgSAIgiD0QFqtlrvvvpvs7GwcHR2ZPHkyK1euxNXV1dqhCT2caBQIgtBtZs6cSUFBQbPlL7744g1lJxIEQRAEoWuIRoEgCIIgCIIg2DmRMkMQBEEQBEEQ7JxoFAiCIAiCIAiCnRONAkEQBEEQBEGwc6JRIAiCIAiCIAh2TjQKBEEQBEEQBMHO/f9U00b+OBWWOgAAAABJRU5ErkJggg==", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.pairplot(data, hue='vaporfly', kind=\"scatter\")" ] }, { "cell_type": "markdown", "id": "7906fa60", "metadata": {}, "source": [ "## One chart - one story" ] }, { "cell_type": "code", "execution_count": null, "id": "2aeb49c0", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 131, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Number of participants in marathons\n", "sns.countplot(x='year', hue=\"sex\", data=data)" ] }, { "cell_type": "markdown", "id": "83ef0d4a", "metadata": {}, "source": [ "## Improve" ] }, { "cell_type": "code", "execution_count": null, "id": "81b47155", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 132, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.set_style('whitegrid')\n", "sns.countplot(x='year', hue=\"sex\", data=data)" ] }, { "cell_type": "markdown", "id": "bc55214e", "metadata": {}, "source": [ "1. **Remove chart border**\n", "2. **Remove gridlines**\n", "You can leave the gridlines but make them thin and use a light color like grey. Do not let them compete visually with your data.\n", "3. ****Remove data markers****\n", "every single element adds cognitive load on the part of your audience\n", "4. ****Clean up axis labels****\n", "remove trailing zeros and abbreviate the months of the year so that they will fit horizontally \n", "5. ****Label data directly****\n", "leverage the Gestalt principle of proximity and put the data labels right next to the data they describe\n", "6. ****Leverage consistent color****\n", "leveraging the Gestalt principle of similarity, make the data labels the same *color* as the data they describe" ] }, { "cell_type": "code", "execution_count": null, "id": "ebbdb7fa", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 133, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.set_style('white')\n", "sns.countplot(x='year', hue=\"sex\", data=data,color='gray')" ] }, { "cell_type": "code", "execution_count": null, "id": "09f0cb33", "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.set_style('white')\n", "sns.countplot(x='year', hue=\"sex\", data=data, color='gray')\n", "sns.despine()" ] }, { "cell_type": "code", "execution_count": null, "id": "eaf893c1", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0, 0.5, 'Number of participants')" ] }, "execution_count": 142, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.set_style('white')\n", "num_participants = sns.countplot(x='year', hue=\"sex\", data=data, color='gray')\n", "sns.despine()\n", "sns.set_theme(font_scale=2.5)\n", "num_participants.set_title('Number of participants in marathons')\n", "num_participants.set_ylabel('Number of participants')" ] }, { "cell_type": "markdown", "id": "46cb2540", "metadata": {}, "source": [ "## The same examples from BI tool" ] }, { "attachments": { "bi_example_1.png": { "image/png": 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" } }, "cell_type": "markdown", "id": "640fe1aa", "metadata": {}, "source": [ "![bi_example_1.png](attachment:bi_example_1.png)" ] }, { "cell_type": "code", "execution_count": null, "id": "4fac1b78", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "bcb1fc71", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "02a4ed34", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "9d2fe43c", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "52bda4d1", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "800c8b98", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "d5fba84f", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "059c1633", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "d8778e7b", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "26e8fa00", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "81d3f668", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "a6ac2b75", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "c1ee468a", "metadata": {}, "source": [ "# Non talk / Other experiments" ] }, { "cell_type": "code", "execution_count": null, "id": "605f184c", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "params_for_tops_by_marathon = data.groupby('marathon')\n", "# Age x Performance\n", "mean_age_time = data.groupby('age').mean().reset_index()\n", "median_age_time = data.groupby('age').median().reset_index()\n", "\n", "x = mean_age_time['age']\n", "y = mean_age_time['time_minutes']\n", "\n", "plt.pyplot.plot(x, y, '.')\n", "\n", "xx = median_age_time['age']\n", "yy = median_age_time['time_minutes']\n", "\n", "\n", "plt.pyplot.plot(xx, yy, '.', color = 'r')\n", "\n", "\n", "plt.pyplot.xlabel(\"Age\", fontsize=16)\n", "plt.pyplot.ylabel(\"Official Time (min)\",fontsize=16)\n", "plt.pyplot.title(\"Official Time for Age\",fontsize=20)\n", "plt.pyplot.legend(['Mean', 'Median'])\n", "plt.pyplot.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "845be6ce", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0, 0.5, 'Sex')" ] }, "execution_count": 200, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "df = data.groupby(['sex', 'vaporfly']).agg(time_min=('time_minutes','mean')).reset_index()\n", "sns.set_style('white')\n", "avg_time_sex_shoes = sns.barplot(\n", " x='sex', y='time_min', hue='vaporfly',\n", " data=df, \n", " color='gray')\n", "sns.set_theme(font_scale=2.5)\n", "sns.despine()\n", "avg_time_sex_shoes.set_title('Average distance time by gender and shoes type')\n", "avg_time_sex_shoes.set_ylabel('Sex')\n", "# avg_time_sex_shoes.legend(ncol=2, loc=\"lower right\", frameon=True)" ] }, { "cell_type": "code", "execution_count": null, "id": "effd9bd3", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "38f7b1cb", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "6480918a", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "3474d94a", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "f4431ed4", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.scatterplot(data=data, \n", " x='time_minutes', \n", " y='marathon', \n", " hue='vaporfly', \n", " style='sex', \n", " size='age')" ] }, { "cell_type": "code", "execution_count": null, "id": "f611c682", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.set_style('white')\n", "# sns.set_theme(font_scale=1)\n", "sns.scatterplot(data=data, \n", " x='time_minutes', \n", " y='marathon', \n", " hue='vaporfly', \n", " style='sex', \n", " size='age')\n", "sns.despine()\n" ] }, { "cell_type": "code", "execution_count": null, "id": "15857b01", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.scatterplot(data=data, \n", " x='age', \n", " y='marathon', \n", " hue='sex', \n", " style='vaporfly', \n", " size='time_minutes')" ] }, { "cell_type": "code", "execution_count": null, "id": "c81eead8", "metadata": {}, "outputs": [], "source": [ "%%capture\n", "! pip install hvplot" ] }, { "cell_type": "code", "execution_count": null, "id": "63964287", "metadata": {}, "outputs": [ { "data": { "application/javascript": "(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, js_modules, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n if (js_modules == null) js_modules = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls.length === 0 && js_modules.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error() {\n console.error(\"failed to load \" + url);\n }\n\n for (var i = 0; i < css_urls.length; i++) {\n var url = css_urls[i];\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error;\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n }\n\n var skip = [];\n if (window.requirejs) {\n window.requirejs.config({'packages': {}, 'paths': {'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@4.2.5/dist/gridstack-h5', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'gridstack': {'exports': 'GridStack'}}});\n require([\"gridstack\"], function(GridStack) {\n\twindow.GridStack = GridStack\n\ton_load()\n })\n require([\"notyf\"], function() {\n\ton_load()\n })\n root._bokeh_is_loading = css_urls.length + 2;\n } else {\n root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length;\n } if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.jsdelivr.net/npm/gridstack@4.2.5/dist/gridstack-h5.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.jsdelivr.net/npm/notyf@3/notyf.min.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } for (var i = 0; i < js_urls.length; i++) {\n var url = js_urls[i];\n if (skip.indexOf(url) >= 0) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (var i = 0; i < js_modules.length; i++) {\n var url = js_modules[i];\n if (skip.indexOf(url) >= 0) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n if (!js_urls.length && !js_modules.length) {\n on_load()\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n var js_urls = [\"https://cdn.jsdelivr.net/npm/notyf@3/notyf.min.js\"];\n var js_modules = [];\n var css_urls = [\"https://cdn.jsdelivr.net/npm/notyf@3/notyf.min.css\", \"https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.1/css/all.min.css\"];\n var inline_js = [ function(Bokeh) {\n inject_raw_css(\".bk.debugger-card {\\n border: 1px solid rgba(0,0,0,1);\\n color: rgba(255,255,255,1);\\n background-color: rgba(0,0,0,1);\\n border-radius: 0rem;\\n}\\n.bk.debugger-card-header {\\n align-items: center;\\n text-align: left;\\n background-color: rgba(0, 0, 0, 1)!important;\\n color: rgba(255, 255, 255, 1);\\n border-radius: 0rem;\\n display: inline-flex;\\n justify-content: start;\\n width: 100%;\\n}\\n.bk.debugger-card-button {\\n background-color: transparent;\\n color: rgba(255, 255, 255, 1);\\n margin-left: 0.5em;\\n}\\n.bk.debugger-card-title {\\n align-items: center;\\n text-align: left;\\n color: rgba(255, 255, 255, 1);\\n font-size: 1em;\\n overflow-wrap: break-word;\\n}\\n\\n/* Special debugger buttons for clearing and saving */\\n.bk button.special_btn {\\n width: 25px;\\n height: 25px;\\n background-color: black;\\n color: white;\\n display: inline-block;\\n}\\n\\n\\n.bk button.special_btn .tooltiptext {\\n visibility: hidden;\\n width: 100px;\\n background-color: darkgray;\\n color: #fff;\\n text-align: center;\\n border-radius: 6px;\\n padding: 5px 0;\\n\\n /* Position the tooltip */\\n position: relative;\\n z-index: 1;\\n top: 100%;\\n left: 100%;\\n margin-left: -100px;\\n display: block;\\n}\\n\\n.bk button.special_btn:hover .tooltiptext {\\n visibility: visible;\\n}\\n\\n\\n\\n.bk button.clear_btn:hover .shown { display: none;}\\n.bk button.clear_btn:hover:before { content: \\\"\\u2611\\\"; }\\n\");\n }, function(Bokeh) {\n inject_raw_css(\".json-formatter-row {\\n font-family: monospace;\\n}\\n.json-formatter-row,\\n.json-formatter-row a,\\n.json-formatter-row a:hover {\\n color: black;\\n text-decoration: none;\\n}\\n.json-formatter-row .json-formatter-row {\\n margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty {\\n opacity: 0.5;\\n margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n display: none;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n content: \\\"No properties\\\";\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n content: \\\"[]\\\";\\n}\\n.json-formatter-row .json-formatter-string,\\n.json-formatter-row .json-formatter-stringifiable {\\n color: green;\\n white-space: pre;\\n word-wrap: break-word;\\n}\\n.json-formatter-row .json-formatter-number {\\n color: blue;\\n}\\n.json-formatter-row .json-formatter-boolean {\\n color: red;\\n}\\n.json-formatter-row .json-formatter-null {\\n color: #855A00;\\n}\\n.json-formatter-row .json-formatter-undefined {\\n color: #ca0b69;\\n}\\n.json-formatter-row .json-formatter-function {\\n color: #FF20ED;\\n}\\n.json-formatter-row .json-formatter-date {\\n background-color: rgba(0, 0, 0, 0.05);\\n}\\n.json-formatter-row .json-formatter-url {\\n text-decoration: underline;\\n color: blue;\\n cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-bracket {\\n color: blue;\\n}\\n.json-formatter-row .json-formatter-key {\\n color: #00008B;\\n padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler-link {\\n cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-toggler {\\n line-height: 1.2rem;\\n font-size: 0.7rem;\\n vertical-align: middle;\\n opacity: 0.6;\\n cursor: pointer;\\n padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler:after {\\n display: inline-block;\\n transition: transform 100ms ease-in;\\n content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-row > a > .json-formatter-preview-text {\\n opacity: 0;\\n transition: opacity 0.15s ease-in;\\n font-style: italic;\\n}\\n.json-formatter-row:hover > a > .json-formatter-preview-text {\\n opacity: 0.6;\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n transform: rotate(90deg);\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n display: inline-block;\\n}\\n.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n display: none;\\n}\\n.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n display: block;\\n}\\n.json-formatter-dark.json-formatter-row {\\n font-family: monospace;\\n}\\n.json-formatter-dark.json-formatter-row,\\n.json-formatter-dark.json-formatter-row a,\\n.json-formatter-dark.json-formatter-row a:hover {\\n color: white;\\n text-decoration: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-row {\\n margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty {\\n opacity: 0.5;\\n margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n display: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n content: \\\"No properties\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n content: \\\"[]\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-string,\\n.json-formatter-dark.json-formatter-row .json-formatter-stringifiable {\\n color: #31F031;\\n white-space: pre;\\n word-wrap: break-word;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-number {\\n color: #66C2FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-boolean {\\n color: #EC4242;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-null {\\n color: #EEC97D;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-undefined {\\n color: #ef8fbe;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-function {\\n color: #FD48CB;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-date {\\n background-color: rgba(255, 255, 255, 0.05);\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-url {\\n text-decoration: underline;\\n color: #027BFF;\\n cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-bracket {\\n color: #9494FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-key {\\n color: #23A0DB;\\n padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler-link {\\n cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler {\\n line-height: 1.2rem;\\n font-size: 0.7rem;\\n vertical-align: middle;\\n opacity: 0.6;\\n cursor: pointer;\\n padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler:after {\\n display: inline-block;\\n transition: transform 100ms ease-in;\\n content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-dark.json-formatter-row > a > .json-formatter-preview-text {\\n opacity: 0;\\n transition: opacity 0.15s ease-in;\\n font-style: italic;\\n}\\n.json-formatter-dark.json-formatter-row:hover > a > .json-formatter-preview-text {\\n opacity: 0.6;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n transform: rotate(90deg);\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n display: inline-block;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n display: none;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n display: block;\\n}\\n\");\n }, function(Bokeh) {\n inject_raw_css(\".bk.panel-widget-box {\\n min-height: 20px;\\n background-color: #f5f5f5;\\n border: 1px solid #e3e3e3;\\n border-radius: 4px;\\n -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n box-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n overflow-x: hidden;\\n overflow-y: hidden;\\n}\\n\\n.scrollable {\\n overflow: scroll;\\n}\\n\\nprogress {\\n appearance: none;\\n -moz-appearance: none;\\n -webkit-appearance: none;\\n border: none;\\n height: 20px;\\n background-color: whiteSmoke;\\n border-radius: 3px;\\n box-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n color: royalblue;\\n position: relative;\\n margin: 0 0 1.5em;\\n}\\n\\nprogress[value]::-webkit-progress-bar {\\n background-color: whiteSmoke;\\n border-radius: 3px;\\n box-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n}\\n\\nprogress[value]::-webkit-progress-value {\\n position: relative;\\n background-size: 35px 20px, 100% 100%, 100% 100%;\\n border-radius:3px;\\n}\\n\\nprogress.active:not([value])::before {\\n background-position: 10%;\\n animation-name: stripes;\\n animation-duration: 3s;\\n animation-timing-function: linear;\\n animation-iteration-count: infinite;\\n}\\n\\nprogress[value]::-moz-progress-bar {\\n background-size: 35px 20px, 100% 100%, 100% 100%;\\n border-radius:3px;\\n}\\n\\nprogress:not([value])::-moz-progress-bar {\\n border-radius:3px;\\n background: linear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\n\\nprogress.active:not([value])::-moz-progress-bar {\\n background-position: 10%;\\n animation-name: stripes;\\n animation-duration: 3s;\\n animation-timing-function: linear;\\n animation-iteration-count: infinite;\\n}\\n\\nprogress.active:not([value])::-webkit-progress-bar {\\n background-position: 10%;\\n animation-name: stripes;\\n animation-duration: 3s;\\n animation-timing-function: linear;\\n animation-iteration-count: infinite;\\n}\\n\\nprogress.primary[value]::-webkit-progress-value { background-color: #007bff; }\\nprogress.primary:not([value])::before { background-color: #007bff; }\\nprogress.primary:not([value])::-webkit-progress-bar { background-color: #007bff; }\\nprogress.primary::-moz-progress-bar { background-color: #007bff; }\\n\\nprogress.secondary[value]::-webkit-progress-value { background-color: #6c757d; }\\nprogress.secondary:not([value])::before { background-color: #6c757d; }\\nprogress.secondary:not([value])::-webkit-progress-bar { background-color: #6c757d; }\\nprogress.secondary::-moz-progress-bar { background-color: #6c757d; }\\n\\nprogress.success[value]::-webkit-progress-value { background-color: #28a745; }\\nprogress.success:not([value])::before { background-color: #28a745; }\\nprogress.success:not([value])::-webkit-progress-bar { background-color: #28a745; }\\nprogress.success::-moz-progress-bar { background-color: #28a745; }\\n\\nprogress.danger[value]::-webkit-progress-value { background-color: #dc3545; }\\nprogress.danger:not([value])::before { background-color: #dc3545; }\\nprogress.danger:not([value])::-webkit-progress-bar { background-color: #dc3545; }\\nprogress.danger::-moz-progress-bar { background-color: #dc3545; }\\n\\nprogress.warning[value]::-webkit-progress-value { background-color: #ffc107; }\\nprogress.warning:not([value])::before { background-color: #ffc107; }\\nprogress.warning:not([value])::-webkit-progress-bar { background-color: #ffc107; }\\nprogress.warning::-moz-progress-bar { background-color: #ffc107; }\\n\\nprogress.info[value]::-webkit-progress-value { background-color: #17a2b8; }\\nprogress.info:not([value])::before { background-color: #17a2b8; }\\nprogress.info:not([value])::-webkit-progress-bar { background-color: #17a2b8; }\\nprogress.info::-moz-progress-bar { background-color: #17a2b8; }\\n\\nprogress.light[value]::-webkit-progress-value { background-color: #f8f9fa; }\\nprogress.light:not([value])::before { background-color: #f8f9fa; }\\nprogress.light:not([value])::-webkit-progress-bar { background-color: #f8f9fa; }\\nprogress.light::-moz-progress-bar { background-color: #f8f9fa; }\\n\\nprogress.dark[value]::-webkit-progress-value { background-color: #343a40; }\\nprogress.dark:not([value])::-webkit-progress-bar { background-color: #343a40; }\\nprogress.dark:not([value])::before { background-color: #343a40; }\\nprogress.dark::-moz-progress-bar { background-color: #343a40; }\\n\\nprogress:not([value])::-webkit-progress-bar {\\n border-radius: 3px;\\n background: linear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\nprogress:not([value])::before {\\n content:\\\" \\\";\\n position:absolute;\\n height: 20px;\\n top:0;\\n left:0;\\n right:0;\\n bottom:0;\\n border-radius: 3px;\\n background: linear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\n\\n@keyframes stripes {\\n from {background-position: 0%}\\n to {background-position: 100%}\\n}\\n\\n.bk-root .bk.loader {\\n overflow: hidden;\\n}\\n\\n.bk.loader::after {\\n content: \\\"\\\";\\n border-radius: 50%;\\n -webkit-mask-image: radial-gradient(transparent 50%, rgba(0, 0, 0, 1) 54%);\\n width: 100%;\\n height: 100%;\\n left: 0;\\n top: 0;\\n position: absolute;\\n}\\n\\n.bk-root .bk.loader.dark::after {\\n background: #0f0f0f;\\n}\\n\\n.bk-root .bk.loader.light::after {\\n background: #f0f0f0;\\n}\\n\\n.bk-root .bk.loader.spin::after {\\n animation: spin 2s linear infinite;\\n}\\n\\n.bk-root div.bk.loader.spin.primary-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #007bff 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.secondary-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #6c757d 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.success-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #28a745 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.danger-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #dc3545 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.warning-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #ffc107 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.info-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #17a2b8 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.light-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #f8f9fa 50%);\\n}\\n\\n.bk-root div.bk.loader.dark-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #343a40 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.primary-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #007bff 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.secondary-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #6c757d 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.success-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #28a745 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.danger-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #dc3545 50%)\\n}\\n\\n.bk-root div.bk.loader.spin.warning-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #ffc107 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.info-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #17a2b8 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.light-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #f8f9fa 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.dark-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #343a40 50%);\\n}\\n\\n/* Safari */\\n@-webkit-keyframes spin {\\n 0% { -webkit-transform: rotate(0deg); }\\n 100% { -webkit-transform: rotate(360deg); }\\n}\\n\\n@keyframes spin {\\n 0% { transform: rotate(0deg); }\\n 100% { transform: rotate(360deg); }\\n}\\n\\n.dot div {\\n height: 100%;\\n width: 100%;\\n border: 1px solid #000 !important;\\n background-color: #fff;\\n border-radius: 50%;\\n display: inline-block;\\n}\\n\\n.dot-filled div {\\n height: 100%;\\n width: 100%;\\n border: 1px solid #000 !important;\\n border-radius: 50%;\\n display: inline-block;\\n}\\n\\n.dot-filled.primary div {\\n background-color: #007bff;\\n}\\n\\n.dot-filled.secondary div {\\n background-color: #6c757d;\\n}\\n\\n.dot-filled.success div {\\n background-color: #28a745;\\n}\\n\\n.dot-filled.danger div {\\n background-color: #dc3545;\\n}\\n\\n.dot-filled.warning div {\\n background-color: #ffc107;\\n}\\n\\n.dot-filled.info div {\\n background-color: #17a2b8;\\n}\\n\\n.dot-filled.dark div {\\n background-color: #343a40;\\n}\\n\\n.dot-filled.light div {\\n background-color: #f8f9fa;\\n}\\n\\n/* Slider editor */\\n.slider-edit .bk-input-group .bk-input {\\n border: 0;\\n border-radius: 0;\\n min-height: 0;\\n padding-left: 0;\\n padding-right: 0;\\n font-weight: bold;\\n}\\n\\n.slider-edit .bk-input-group .bk-spin-wrapper {\\n display: contents;\\n}\\n\\n.slider-edit .bk-input-group .bk-spin-wrapper .bk.bk-spin-btn-up {\\n top: -6px;\\n}\\n\\n.slider-edit .bk-input-group .bk-spin-wrapper .bk.bk-spin-btn-down {\\n bottom: 3px;\\n}\\n\\n/* JSON Pane */\\n.bk-root .json-formatter-row .json-formatter-string, .bk-root .json-formatter-row .json-formatter-stringifiable {\\n white-space: pre-wrap;\\n}\\n\\n.ql-bubble .ql-editor {\\n border: 1px solid #ccc;\\n}\\n\");\n }, function(Bokeh) {\n inject_raw_css(\".codehilite .hll { background-color: #ffffcc }\\n.codehilite { background: #f8f8f8; }\\n.codehilite .c { color: #408080; font-style: italic } /* Comment */\\n.codehilite .err { border: 1px solid #FF0000 } /* Error */\\n.codehilite .k { color: #008000; font-weight: bold } /* Keyword */\\n.codehilite .o { color: #666666 } /* Operator */\\n.codehilite .ch { color: #408080; font-style: italic } /* Comment.Hashbang */\\n.codehilite .cm { color: #408080; font-style: italic } /* Comment.Multiline */\\n.codehilite .cp { color: #BC7A00 } /* Comment.Preproc */\\n.codehilite .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */\\n.codehilite .c1 { color: #408080; font-style: italic } /* Comment.Single */\\n.codehilite .cs { color: #408080; font-style: italic } /* Comment.Special */\\n.codehilite .gd { color: #A00000 } /* Generic.Deleted */\\n.codehilite .ge { font-style: italic } /* Generic.Emph */\\n.codehilite .gr { color: #FF0000 } /* Generic.Error */\\n.codehilite .gh { color: #000080; font-weight: bold } /* Generic.Heading */\\n.codehilite .gi { color: #00A000 } /* Generic.Inserted */\\n.codehilite .go { color: #888888 } /* Generic.Output */\\n.codehilite .gp { color: #000080; font-weight: bold } /* Generic.Prompt */\\n.codehilite .gs { font-weight: bold } /* Generic.Strong */\\n.codehilite .gu { color: #800080; font-weight: bold } /* Generic.Subheading */\\n.codehilite .gt { color: #0044DD } /* Generic.Traceback */\\n.codehilite .kc { color: #008000; font-weight: bold } /* Keyword.Constant */\\n.codehilite .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */\\n.codehilite .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */\\n.codehilite .kp { color: #008000 } /* Keyword.Pseudo */\\n.codehilite .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */\\n.codehilite .kt { color: #B00040 } /* Keyword.Type */\\n.codehilite .m { color: #666666 } /* Literal.Number */\\n.codehilite .s { color: #BA2121 } /* Literal.String */\\n.codehilite .na { color: #7D9029 } /* Name.Attribute */\\n.codehilite .nb { color: #008000 } /* Name.Builtin */\\n.codehilite .nc { color: #0000FF; font-weight: bold } /* Name.Class */\\n.codehilite .no { color: #880000 } /* Name.Constant */\\n.codehilite .nd { color: #AA22FF } /* Name.Decorator */\\n.codehilite .ni { color: #999999; font-weight: bold } /* Name.Entity */\\n.codehilite .ne { color: #D2413A; font-weight: bold } /* Name.Exception */\\n.codehilite .nf { color: #0000FF } /* Name.Function */\\n.codehilite .nl { color: #A0A000 } /* Name.Label */\\n.codehilite .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */\\n.codehilite .nt { color: #008000; font-weight: bold } /* Name.Tag */\\n.codehilite .nv { color: #19177C } /* Name.Variable */\\n.codehilite .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */\\n.codehilite .w { color: #bbbbbb } /* Text.Whitespace */\\n.codehilite .mb { color: #666666 } /* Literal.Number.Bin */\\n.codehilite .mf { color: #666666 } /* Literal.Number.Float */\\n.codehilite .mh { color: #666666 } /* Literal.Number.Hex */\\n.codehilite .mi { color: #666666 } /* Literal.Number.Integer */\\n.codehilite .mo { color: #666666 } /* Literal.Number.Oct */\\n.codehilite .sa { color: #BA2121 } /* Literal.String.Affix */\\n.codehilite .sb { color: #BA2121 } /* Literal.String.Backtick */\\n.codehilite .sc { color: #BA2121 } /* Literal.String.Char */\\n.codehilite .dl { color: #BA2121 } /* Literal.String.Delimiter */\\n.codehilite .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */\\n.codehilite .s2 { color: #BA2121 } /* Literal.String.Double */\\n.codehilite .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */\\n.codehilite .sh { color: #BA2121 } /* Literal.String.Heredoc */\\n.codehilite .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */\\n.codehilite .sx { color: #008000 } /* Literal.String.Other */\\n.codehilite .sr { color: #BB6688 } /* Literal.String.Regex */\\n.codehilite .s1 { color: #BA2121 } /* Literal.String.Single */\\n.codehilite .ss { color: #19177C } /* Literal.String.Symbol */\\n.codehilite .bp { color: #008000 } /* Name.Builtin.Pseudo */\\n.codehilite .fm { color: #0000FF } /* Name.Function.Magic */\\n.codehilite .vc { color: #19177C } /* Name.Variable.Class */\\n.codehilite .vg { color: #19177C } /* Name.Variable.Global */\\n.codehilite .vi { color: #19177C } /* Name.Variable.Instance */\\n.codehilite .vm { color: #19177C } /* Name.Variable.Magic */\\n.codehilite .il { color: #666666 } /* Literal.Number.Integer.Long */\\n\\n.markdown h1 { margin-block-start: 0.34em }\\n.markdown h2 { margin-block-start: 0.42em }\\n.markdown h3 { margin-block-start: 0.5em }\\n.markdown h4 { margin-block-start: 0.67em }\\n.markdown h5 { margin-block-start: 0.84em }\\n.markdown h6 { margin-block-start: 1.17em }\\n.markdown ul { padding-inline-start: 2em }\\n.markdown ol { padding-inline-start: 2em }\\n.markdown strong { font-weight: 600 }\\n.markdown a { color: -webkit-link }\\n.markdown a { color: -moz-hyperlinkText }\\n\");\n }, function(Bokeh) {\n inject_raw_css(\".bk.alert {\\n padding: 0.75rem 1.25rem;\\n border: 1px solid transparent;\\n border-radius: 0.25rem;\\n /* Don't set margin because that will not render correctly! */\\n /* margin-bottom: 1rem; */\\n margin-top: 15px;\\n margin-bottom: 15px;\\n}\\n.bk.alert a {\\n color: rgb(11, 46, 19); /* #002752; */\\n font-weight: 700;\\n text-decoration: rgb(11, 46, 19);\\n text-decoration-color: rgb(11, 46, 19);\\n text-decoration-line: none;\\n text-decoration-style: solid;\\n text-decoration-thickness: auto;\\n }\\n.bk.alert a:hover {\\n color: rgb(11, 46, 19);\\n font-weight: 700;\\n text-decoration: underline;\\n}\\n\\n.bk.alert-primary {\\n color: #004085;\\n background-color: #cce5ff;\\n border-color: #b8daff;\\n}\\n.bk.alert-primary hr {\\n border-top-color: #9fcdff;\\n}\\n\\n.bk.alert-secondary {\\n color: #383d41;\\n background-color: #e2e3e5;\\n border-color: #d6d8db;\\n }\\n.bk.alert-secondary hr {\\n border-top-color: #c8cbcf;\\n}\\n\\n.bk.alert-success {\\n color: #155724;\\n background-color: #d4edda;\\n border-color: #c3e6cb;\\n }\\n\\n.bk.alert-success hr {\\n border-top-color: #b1dfbb;\\n}\\n\\n.bk.alert-info {\\n color: #0c5460;\\n background-color: #d1ecf1;\\n border-color: #bee5eb;\\n }\\n.bk.alert-info hr {\\n border-top-color: #abdde5;\\n}\\n\\n.bk.alert-warning {\\n color: #856404;\\n background-color: #fff3cd;\\n border-color: #ffeeba;\\n }\\n\\n.bk.alert-warning hr {\\n border-top-color: #ffe8a1;\\n}\\n\\n.bk.alert-danger {\\n color: #721c24;\\n background-color: #f8d7da;\\n border-color: #f5c6cb;\\n}\\n.bk.alert-danger hr {\\n border-top-color: #f1b0b7;\\n}\\n\\n.bk.alert-light {\\n color: #818182;\\n background-color: #fefefe;\\n border-color: #fdfdfe;\\n }\\n.bk.alert-light hr {\\n border-top-color: #ececf6;\\n}\\n\\n.bk.alert-dark {\\n color: #1b1e21;\\n background-color: #d6d8d9;\\n border-color: #c6c8ca;\\n }\\n.bk.alert-dark hr {\\n border-top-color: #b9bbbe;\\n}\\n\\n\\n/* adjf\\u00e6l */\\n\\n.bk.alert-primary a {\\n color: #002752;\\n}\\n\\n.bk.alert-secondary a {\\n color: #202326;\\n}\\n\\n\\n.bk.alert-success a {\\n color: #0b2e13;\\n}\\n\\n\\n.bk.alert-info a {\\n color: #062c33;\\n}\\n\\n\\n.bk.alert-warning a {\\n color: #533f03;\\n}\\n\\n\\n.bk.alert-danger a {\\n color: #491217;\\n}\\n\\n.bk.alert-light a {\\n color: #686868;\\n}\\n\\n.bk.alert-dark a {\\n color: #040505;\\n}\\n\");\n }, function(Bokeh) {\n inject_raw_css(\".bk.card {\\n border: 1px solid rgba(0,0,0,.125);\\n border-radius: 0.25rem;\\n}\\n.bk.accordion {\\n border: 1px solid rgba(0,0,0,.125);\\n}\\n.bk.card-header {\\n align-items: center;\\n background-color: rgba(0, 0, 0, 0.03);\\n border-radius: 0.25rem;\\n display: inline-flex;\\n justify-content: start;\\n width: 100%;\\n}\\n.bk.accordion-header {\\n align-items: center;\\n background-color: rgba(0, 0, 0, 0.03);\\n border-radius: 0;\\n display: flex;\\n justify-content: start;\\n width: 100%;\\n}\\n.bk.card-button {\\n background-color: transparent;\\n margin-left: 0.5em;\\n}\\n.bk.card-header-row {\\n position: relative !important;\\n}\\n.bk.card-title {\\n align-items: center;\\n font-size: 1.4em;\\n font-weight: bold;\\n overflow-wrap: break-word;\\n}\\n.bk.card-header-row > .bk {\\n overflow-wrap: break-word;\\n text-align: center;\\n}\\n\");\n }, function(Bokeh) {\n inject_raw_css(\"table.panel-df {\\n margin-left: auto;\\n margin-right: auto;\\n border: none;\\n border-collapse: collapse;\\n border-spacing: 0;\\n color: black;\\n font-size: 12px;\\n table-layout: fixed;\\n width: 100%;\\n}\\n\\n.panel-df tr, .panel-df th, .panel-df td {\\n text-align: right;\\n vertical-align: middle;\\n padding: 0.5em 0.5em !important;\\n line-height: normal;\\n white-space: normal;\\n max-width: none;\\n border: none;\\n}\\n\\n.panel-df tbody {\\n display: table-row-group;\\n vertical-align: middle;\\n border-color: inherit;\\n}\\n\\n.panel-df tbody tr:nth-child(odd) {\\n background: #f5f5f5;\\n}\\n\\n.panel-df thead {\\n border-bottom: 1px solid black;\\n vertical-align: bottom;\\n}\\n\\n.panel-df tr:hover {\\n background: lightblue !important;\\n cursor: pointer;\\n}\\n\");\n }, function(Bokeh) {\n inject_raw_css(\".bk.pn-loading:before {\\n position: absolute;\\n height: 100%;\\n width: 100%;\\n content: '';\\n z-index: 1000;\\n background-color: rgb(255,255,255,0.50);\\n border-color: lightgray;\\n background-repeat: no-repeat;\\n background-position: center;\\n background-size: auto 50%;\\n border-width: 1px;\\n cursor: progress;\\n}\\n.bk.pn-loading.arcs:hover:before {\\n cursor: progress;\\n}\\n\");\n }, function(Bokeh) {\n inject_raw_css(\"\\n .bk.pn-loading.arcs:before {\\n background-image: url(\\\"data:image/svg+xml;base64,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\\\");\\n background-size: auto calc(min(50%, 400px));\\n }\\n \");\n }, function(Bokeh) {\n /* BEGIN bokeh.min.js */\n /*!\n * Copyright (c) 2012 - 2022, Anaconda, Inc., and Bokeh Contributors\n * All rights reserved.\n * \n * Redistribution and use in source and binary forms, with or without modification,\n * are permitted provided that the following conditions are met:\n * \n * Redistributions of source code must retain the above copyright notice,\n * this list of conditions and the following disclaimer.\n * \n * Redistributions in binary form must reproduce the above copyright notice,\n * this list of conditions and the following disclaimer in the documentation\n * and/or other materials provided with the distribution.\n * \n * Neither the name of Anaconda nor the names of any contributors\n * may be used to endorse or promote products derived from this software\n * without specific prior written permission.\n * \n * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n * THE POSSIBILITY OF SUCH DAMAGE.\n */\n (function(root, factory) {\n const bokeh = factory();\n bokeh.__bokeh__ = true;\n if (typeof root.Bokeh === \"undefined\" || typeof root.Bokeh.__bokeh__ === \"undefined\") {\n root.Bokeh = bokeh;\n }\n const Bokeh = root.Bokeh;\n Bokeh[bokeh.version] = bokeh;\n })(this, function() {\n let define;\n const parent_require = typeof require === \"function\" && require\n return (function(modules, entry, aliases, externals) {\n if (aliases === undefined) aliases = {};\n if (externals === undefined) externals = {};\n\n const cache = {};\n\n const normalize = function(name) {\n if (typeof name === \"number\")\n return name;\n\n if (name === \"bokehjs\")\n return entry;\n\n if (!externals[name]) {\n const prefix = \"@bokehjs/\"\n if (name.slice(0, prefix.length) === prefix)\n name = name.slice(prefix.length)\n }\n\n const alias = aliases[name]\n if (alias != null)\n return alias;\n\n const trailing = name.length > 0 && name[name.lenght-1] === \"/\";\n const index = aliases[name + (trailing ? \"\" : \"/\") + \"index\"];\n if (index != null)\n return index;\n\n return name;\n }\n\n const require = function(name) {\n let mod = cache[name];\n if (!mod) {\n const id = normalize(name);\n\n mod = cache[id];\n if (!mod) {\n if (!modules[id]) {\n if (externals[id] === false || (externals[id] == true && parent_require)) {\n try {\n mod = {exports: externals[id] ? parent_require(id) : {}};\n cache[id] = cache[name] = mod;\n return mod.exports;\n } catch (e) {}\n }\n\n const err = new Error(\"Cannot find module '\" + name + \"'\");\n err.code = 'MODULE_NOT_FOUND';\n throw err;\n }\n\n mod = {exports: {}};\n cache[id] = cache[name] = mod;\n\n function __esModule() {\n Object.defineProperty(mod.exports, \"__esModule\", {value: true});\n }\n\n function __esExport(name, value) {\n Object.defineProperty(mod.exports, name, {\n enumerable: true, get: function () { return value; }\n });\n }\n\n modules[id].call(mod.exports, require, mod, mod.exports, __esModule, __esExport);\n } else {\n cache[name] = mod;\n }\n }\n\n return mod.exports;\n }\n require.resolve = function(name) {\n return \"\"\n }\n\n const main = require(entry);\n main.require = require;\n\n if (typeof Proxy !== \"undefined\") {\n // allow Bokeh.loader[\"@bokehjs/module/name\"] syntax\n main.loader = new Proxy({}, {\n get: function(_obj, module) {\n return require(module);\n }\n });\n }\n\n main.register_plugin = function(plugin_modules, plugin_entry, plugin_aliases, plugin_externals) {\n if (plugin_aliases === undefined) plugin_aliases = {};\n if (plugin_externals === undefined) plugin_externals = {};\n\n for (let name in plugin_modules) {\n modules[name] = plugin_modules[name];\n }\n\n for (let name in plugin_aliases) {\n aliases[name] = plugin_aliases[name];\n }\n\n for (let name in plugin_externals) {\n externals[name] = plugin_externals[name];\n }\n\n const plugin = require(plugin_entry);\n\n for (let name in plugin) {\n main[name] = plugin[name];\n }\n\n return plugin;\n }\n\n return main;\n })\n ([\n function _(t,_,n,o,r){o();(0,t(1).__exportStar)(t(2),n)},\n function _(t,e,r,n,o){n();var a=function(t,e){return a=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},a(t,e)};r.__extends=function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or 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z.MessageSentEvent(this.document,\"bokeh_event\",e.to_json());this.document._trigger_on_change(t)}trigger(e){for(const t of this.subscribed_models)null!=e.origin&&e.origin!=t||t._process_event(e)}}s.EventManager=S,S.__name__=\"EventManager\",s.documents=[],s.DEFAULT_TITLE=\"Bokeh Application\";class E{constructor(e){var t;s.documents.push(this),this._init_timestamp=Date.now(),this._resolver=null!==(t=null==e?void 0:e.resolver)&&void 0!==t?t:new r.ModelResolver,this._title=s.DEFAULT_TITLE,this._roots=[],this._all_models=new Map,this._all_models_freeze_count=0,this._callbacks=new Map,this._message_callbacks=new Map,this.event_manager=new S(this),this.idle=new h.Signal0(this,\"idle\"),this._idle_roots=new WeakMap,this._interactive_timestamp=null,this._interactive_plot=null}get layoutables(){return this._roots.filter((e=>e instanceof y.LayoutDOM))}get is_idle(){for(const e of this.layoutables)if(!this._idle_roots.has(e))return!1;return!0}notify_idle(e){this._idle_roots.set(e,!0),this.is_idle&&(_.logger.info(`document idle at ${Date.now()-this._init_timestamp} ms`),this.event_manager.send_event(new a.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 a.LODStart)),this._interactive_finalize=t,this._interactive_timestamp=Date.now()}interactive_stop(){null!=this._interactive_plot&&(this._interactive_plot.trigger_event(new a.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(){_.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(_.logger.debug(`Adding root: ${e}`),!(0,g.includes)(this._roots,e)){this._push_all_models_freeze();try{this._roots.push(e)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new z.RootAddedEvent(this,e,t))}}remove_root(e,t){const s=this._roots.indexOf(e);if(!(s<0)){this._push_all_models_freeze();try{this._roots.splice(s,1)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new z.RootRemovedEvent(this,e,t))}}title(){return this._title}set_title(e,t){e!==this._title&&(this._title=e,this._trigger_on_change(new z.TitleChangedEvent(this,e,t)))}get_model_by_id(e){var t;return null!==(t=this._all_models.get(e))&&void 0!==t?t:null}get_model_by_name(e){const t=[];for(const s of this._all_models.values())s instanceof M.Model&&s.name==e&&t.push(s);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(`Multiple models are named '${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 z.DocumentEventBatch)for(const s of e.events)t(s);else t(e)}_notify_change(e,t,s,o,n){this._trigger_on_change(new z.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 _=t.get(e);null==_&&(_=E._instantiate_object(e,r,l,s),null!=i.subtype&&_.set_subtype(i.subtype)),n.set(_.id,_)}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),_=E._resolve_refs(r,t,s,o);l.setv(_,{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),a=(0,g.intersection)(n,i),c=[];for(const e of r)_.logger.warn(`Server sent key ${e} but we don't seem to have it in our JSON`);for(const n of l){const i=t.attributes[n];c.push(E._event_for_attribute_change(e,n,i,s,o))}for(const n of a){const i=e.attributes[n],r=t.attributes[n];null==i&&null==r||(null==i||null==r?c.push(E._event_for_attribute_change(e,n,r,s,o)):\"data\"==n||(0,w.is_equal)(i,r)||c.push(E._event_for_attribute_change(e,n,r,s,o)))}return c.filter((e=>null!=e))}static _compute_patch_since_json(e,t){const s=t.to_json(!1);function o(e){const t=new Map;for(const s of e.roots.references)t.set(s.id,s);return t}const n=o(e),i=new Map,r=[];for(const t of e.roots.root_ids)i.set(t,n.get(t)),r.push(t);const l=o(s),_=new Map,a=[];for(const e of s.roots.root_ids)_.set(e,l.get(e)),a.push(e);if(r.sort(),a.sort(),(0,g.difference)(r,a).length>0||(0,g.difference)(a,r).length>0)throw new Error(\"Not implemented: computing add/remove of document roots\");const c=new Set;let h=[];for(const e of t._all_models.keys())if(n.has(e)){const s=E._events_to_sync_objects(n.get(e),l.get(e),t,c);h=h.concat(s)}const f=new d.Serializer({include_defaults:!1});return f.to_serializable([...c]),{references:[...f.definitions],events:h}}to_json_string(e=!0){return JSON.stringify(this.to_json(e))}to_json(e=!0){const t=new d.Serializer({include_defaults:e}),s=t.to_serializable(this._roots);return{version:l.version,title:this._title,roots:{root_ids:s.map((e=>e.id)),references:[...t.definitions]}}}static from_json_string(e){const t=JSON.parse(e);return E.from_json(t)}static from_json(e){_.logger.debug(\"Creating Document from JSON\");const t=e.version,s=-1!==t.indexOf(\"+\")||-1!==t.indexOf(\"-\"),o=`Library versions: JS (${l.version}) / Python (${t})`;s||l.version.replace(/-(dev|rc)\\./,\"$1\")==t?_.logger.debug(o):(_.logger.warn(\"JS/Python version mismatch\"),_.logger.warn(o));const n=new r.ModelResolver;null!=e.defs&&(0,j.resolve_defs)(e.defs,n);const i=e.roots,a=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});h._push_all_models_freeze();for(const e of a){const t=d.get(e);null!=t&&h.add_root(t)}return h._pop_all_models_freeze(),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 _.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,_=E._resolve_refs(e.new,r,l,t);n.setv({[i]:_},{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 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l.Visuals(this),this.needs_webgl_blit=!1}connect_signals(){super.connect_signals();const{x_range_name:e,y_range_name:i}=this.model.properties;this.on_change([e,i],(()=>this._initialize_coordinates()));const{group:t}=this.model;null!=t&&this.on_change(t.properties.visible,(()=>{this.model.visible=t.visible}))}_initialize_coordinates(){const{coordinates:e}=this.model,{frame:i}=this.plot_view;if(null!=e)return e.get_transform(i);{const{x_range_name:e,y_range_name:t}=this.model,n=i.x_scales.get(e),s=i.y_scales.get(t);return new u.CoordinateTransform(n,s)}}get plot_view(){return this.parent}get plot_model(){return this.parent.model}get layer(){const{overlays:e,primary:i}=this.canvas;return\"overlay\"==this.model.level?e:i}get canvas(){return this.plot_view.canvas_view}request_render(){this.request_paint()}request_paint(){this.plot_view.request_paint(this)}request_layout(){this.plot_view.request_layout()}notify_finished(){this.plot_view.notify_finished()}notify_finished_after_paint(){this.plot_view.notify_finished_after_paint()}get needs_clip(){return!1}get has_webgl(){return!1}render(){this.model.visible&&this._render(),this._has_finished=!0}renderer_view(e){}}t.RendererView=p,p.__name__=\"RendererView\";class g extends h.Model{constructor(e){super(e)}}t.Renderer=g,a=g,g.__name__=\"Renderer\",a.define((({Boolean:e,String:i,Ref:t,Nullable:n})=>({group:[n(t(c)),null],level:[d.RenderLevel,\"image\"],visible:[e,!0],x_range_name:[i,\"default\"],y_range_name:[i,\"default\"],coordinates:[n(t(u.CoordinateMapping)),null]})))},\n function _(t,e,s,i,n){i();const o=t(1),h=t(15),r=t(43),l=t(8),_=(0,o.__importDefault)(t(44));class d{constructor(t){this.removed=new h.Signal0(this,\"removed\"),this._ready=Promise.resolve(void 0),this._slots=new WeakMap,this._idle_notified=!1;const{model:e,parent:s}=t;this.model=e,this.parent=s,this.root=null==s?this:s.root,this.removed.emit()}get ready(){return this._ready}connect(t,e){let s=this._slots.get(e);return null==s&&(s=(t,s)=>{const i=Promise.resolve(e.call(this,t,s));this._ready=this._ready.then((()=>i))},this._slots.set(e,s)),t.connect(s,this)}disconnect(t,e){return 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 _(t,e,n,i,o){i();const s=t(8),l=t(13),r=t=>(e={},...n)=>{const i=document.createElement(t);i.classList.add(\"bk\"),(0,s.isPlainObject)(e)||(n=[e,...n],e={});for(let[t,n]of(0,l.entries)(e))if(null!=n&&(!(0,s.isBoolean)(n)||n))if(\"class\"===t&&((0,s.isString)(n)&&(n=n.split(/\\s+/)),(0,s.isArray)(n)))for(const t of n)null!=t&&i.classList.add(t);else if(\"style\"===t&&(0,s.isPlainObject)(n))for(const[t,e]of(0,l.entries)(n))i.style[t]=e;else if(\"data\"===t&&(0,s.isPlainObject)(n))for(const[t,e]of(0,l.entries)(n))i.dataset[t]=e;else i.setAttribute(t,n);function o(t){if((0,s.isString)(t))i.appendChild(document.createTextNode(t));else if(t instanceof Node)i.appendChild(t);else if(t instanceof NodeList||t instanceof HTMLCollection)for(const e of t)i.appendChild(e);else if(null!=t&&!1!==t)throw new Error(`expected a DOM element, string, false or null, got ${JSON.stringify(t)}`)}for(const t of n)if((0,s.isArray)(t))for(const e of t)o(e);else o(t);return i};function a(t){const e=t.parentNode;null!=e&&e.removeChild(t)}function c(t,...e){const n=t.firstChild;for(const i of e)t.insertBefore(i,n)}function d(t,e){var n,i,o;const s=Element.prototype;return(null!==(o=null!==(i=null!==(n=s.matches)&&void 0!==n?n:s.webkitMatchesSelector)&&void 0!==i?i:s.mozMatchesSelector)&&void 0!==o?o:s.msMatchesSelector).call(t,e)}function h(t){return parseFloat(t)||0}function f(t){const e=getComputedStyle(t);return{border:{top:h(e.borderTopWidth),bottom:h(e.borderBottomWidth),left:h(e.borderLeftWidth),right:h(e.borderRightWidth)},margin:{top:h(e.marginTop),bottom:h(e.marginBottom),left:h(e.marginLeft),right:h(e.marginRight)},padding:{top:h(e.paddingTop),bottom:h(e.paddingBottom),left:h(e.paddingLeft),right:h(e.paddingRight)}}}function u(t){const e=t.getBoundingClientRect();return{width:Math.ceil(e.width),height:Math.ceil(e.height)}}n.createElement=function(t,e,...n){return r(t)(e,...n)},n.div=r(\"div\"),n.span=r(\"span\"),n.canvas=r(\"canvas\"),n.link=r(\"link\"),n.style=r(\"style\"),n.a=r(\"a\"),n.p=r(\"p\"),n.i=r(\"i\"),n.pre=r(\"pre\"),n.button=r(\"button\"),n.label=r(\"label\"),n.input=r(\"input\"),n.select=r(\"select\"),n.option=r(\"option\"),n.optgroup=r(\"optgroup\"),n.textarea=r(\"textarea\"),n.createSVGElement=function(t,e,...n){const i=document.createElementNS(\"http://www.w3.org/2000/svg\",t);for(const[t,n]of(0,l.entries)(null!=e?e:{}))null==n||(0,s.isBoolean)(n)&&!n||i.setAttribute(t,n);function o(t){if((0,s.isString)(t))i.appendChild(document.createTextNode(t));else if(t instanceof Node)i.appendChild(t);else if(t instanceof NodeList||t instanceof HTMLCollection)for(const e of t)i.appendChild(e);else if(null!=t&&!1!==t)throw new Error(`expected a DOM element, string, false or null, got ${JSON.stringify(t)}`)}for(const t of n)if((0,s.isArray)(t))for(const e of t)o(e);else o(t);return i},n.nbsp=function(){return document.createTextNode(\"\\xa0\")},n.append=function(t,...e){for(const n of e)t.appendChild(n)},n.remove=a,n.removeElement=a,n.replaceWith=function(t,e){const n=t.parentNode;null!=n&&n.replaceChild(e,t)},n.prepend=c,n.empty=function(t,e=!1){let n;for(;n=t.firstChild;)t.removeChild(n);if(e&&t instanceof Element)for(const e of t.attributes)t.removeAttributeNode(e)},n.display=function(t){t.style.display=\"\"},n.undisplay=function(t){t.style.display=\"none\"},n.show=function(t){t.style.visibility=\"\"},n.hide=function(t){t.style.visibility=\"hidden\"},n.offset=function(t){const e=t.getBoundingClientRect();return{top:e.top+window.pageYOffset-document.documentElement.clientTop,left:e.left+window.pageXOffset-document.documentElement.clientLeft}},n.matches=d,n.parent=function(t,e){let n=t;for(;n=n.parentElement;)if(d(n,e))return n;return null},n.extents=f,n.size=u,n.scroll_size=function(t){return{width:Math.ceil(t.scrollWidth),height:Math.ceil(t.scrollHeight)}},n.outer_size=function(t){const{margin:{left:e,right:n,top:i,bottom:o}}=f(t),{width:s,height:l}=u(t);return{width:Math.ceil(s+e+n),height:Math.ceil(l+i+o)}},n.content_size=function(t){const{left:e,top:n}=t.getBoundingClientRect(),{padding:i}=f(t);let o=0,s=0;for(const l of t.children){const t=l.getBoundingClientRect();o=Math.max(o,Math.ceil(t.left-e-i.left+t.width)),s=Math.max(s,Math.ceil(t.top-n-i.top+t.height))}return{width:o,height:s}},n.position=function(t,e,n){const{style:i}=t;if(i.left=`${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 e=0;e{document.addEventListener(\"DOMContentLoaded\",(()=>t()),{once:!0})}))}},\n function _(o,i,t,e,r){e(),t.root=\"bk-root\",t.default=\".bk-root{position:relative;width:auto;height:auto;box-sizing:border-box;font-family:Helvetica, Arial, sans-serif;font-size:13px;}.bk-root .bk,.bk-root .bk:before,.bk-root .bk:after{box-sizing:inherit;margin:0;border:0;padding:0;background-image:none;font-family:inherit;font-size:100%;line-height:1.42857143;}.bk-root pre.bk{font-family:Courier, monospace;}\"},\n function _(e,t,r,a,c){a();const n=e(1),l=e(46);c(\"Line\",l.Line),c(\"LineScalar\",l.LineScalar),c(\"LineVector\",l.LineVector);const i=e(49);c(\"Fill\",i.Fill),c(\"FillScalar\",i.FillScalar),c(\"FillVector\",i.FillVector);const s=e(50);c(\"Text\",s.Text),c(\"TextScalar\",s.TextScalar),c(\"TextVector\",s.TextVector);const o=e(51);c(\"Hatch\",o.Hatch),c(\"HatchScalar\",o.HatchScalar),c(\"HatchVector\",o.HatchVector);const 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 V.VisualProperties&&a.update(),this._visuals.push(a),Object.defineProperty(this,t+a.type,{get:()=>a,configurable:!1,enumerable:!0})}}*[Symbol.iterator](){yield*this._visuals}}r.Visuals=h,h.__name__=\"Visuals\"},\n function _(e,t,i,l,s){l();const a=e(1),n=e(47),h=(0,a.__importStar)(e(48)),o=e(22),_=e(8);function r(e){if((0,_.isArray)(e))return e;switch(e){case\"solid\":return[];case\"dashed\":return[6];case\"dotted\":return[2,4];case\"dotdash\":return[2,4,6,4];case\"dashdot\":return[6,4,2,4];default:return e.split(\" \").map(Number).filter(_.isInteger)}}i.resolve_line_dash=r;class u extends n.VisualProperties{get doit(){const e=this.line_color.get_value(),t=this.line_alpha.get_value(),i=this.line_width.get_value();return!(null==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.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,e,a){e();const s=t(1);var l;const _=t(64),o=t(20),r=t(9),h=t(19),d=(0,s.__importStar)(t(65)),u=t(66);class g extends _.DataRange{constructor(t){super(t),this.have_updated_interactively=!1}initialize(){super.initialize(),this._initial_start=this.start,this._initial_end=this.end,this._initial_range_padding=this.range_padding,this._initial_range_padding_units=this.range_padding_units,this._initial_follow=this.follow,this._initial_follow_interval=this.follow_interval,this._initial_default_span=this.default_span,this._plot_bounds=new Map}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}computed_renderers(){const{renderers:t,names:i}=this,n=(0,r.concat)(this.plots.map((t=>t.data_renderers)));return(0,u.compute_renderers)(0==t.length?\"auto\":t,n,i)}_compute_plot_bounds(t,i){let n=d.empty();for(const e of t){const t=i.get(e);null==t||!e.visible&&this.only_visible||(n=d.union(n,t))}return n}adjust_bounds_for_aspect(t,i){const n=d.empty();let e=t.x1-t.x0;e<=0&&(e=1);let a=t.y1-t.y0;a<=0&&(a=1);const s=.5*(t.x1+t.x0),l=.5*(t.y1+t.y0);return el&&(\"start\"==this.follow?a=e+s*l:\"end\"==this.follow&&(e=a-s*l)),[e,a]}update(t,i,n,e){if(this.have_updated_interactively)return;const a=this.computed_renderers();let s=this._compute_plot_bounds(a,t);null!=e&&(s=this.adjust_bounds_for_aspect(s,e)),this._plot_bounds.set(n,s);const[l,_]=this._compute_min_max(this._plot_bounds.entries(),i);let[o,r]=this._compute_range(l,_);null!=this._initial_start&&(\"log\"==this.scale_hint?this._initial_start>0&&(o=this._initial_start):o=this._initial_start),null!=this._initial_end&&(\"log\"==this.scale_hint?this._initial_end>0&&(r=this._initial_end):r=this._initial_end);let h=!1;\"auto\"==this.bounds&&(this.setv({bounds:[o,r]},{silent:!0}),h=!0);const[d,u]=[this.start,this.end];if(o!=d||r!=u){const t={};o!=d&&(t.start=o),r!=u&&(t.end=r),this.setv(t),h=!1}h&&this.change.emit()}reset(){this.have_updated_interactively=!1,this.setv({range_padding:this._initial_range_padding,range_padding_units:this._initial_range_padding_units,follow:this._initial_follow,follow_interval:this._initial_follow_interval,default_span:this._initial_default_span},{silent:!0}),this.change.emit()}}n.DataRange1d=g,l=g,g.__name__=\"DataRange1d\",l.define((({Boolean:t,Number:i,Nullable:n})=>({start:[i],end:[i],range_padding:[i,.1],range_padding_units:[o.PaddingUnits,\"percent\"],flipped:[t,!1],follow:[n(o.StartEnd),null],follow_interval:[n(i),null],default_span:[i,2],only_visible:[t,!1]}))),l.internal((({Enum:t})=>({scale_hint:[t(\"log\",\"auto\"),\"auto\"]})))},\n function _(e,n,a,r,s){var t;r();const c=e(57);class _ extends c.Range{constructor(e){super(e)}}a.DataRange=_,t=_,_.__name__=\"DataRange\",t.define((({String:e,Array:n,AnyRef:a})=>({names:[n(e),[]],renderers:[n(a()),[]]})))},\n function _(t,i,e,h,r){h();const s=t(24),n=t(26),{min:x,max:y}=Math;e.empty=function(){return{x0:1/0,y0:1/0,x1:-1/0,y1:-1/0}},e.positive_x=function(){return{x0:Number.MIN_VALUE,y0:-1/0,x1:1/0,y1:1/0}},e.positive_y=function(){return{x0:-1/0,y0:Number.MIN_VALUE,x1:1/0,y1:1/0}},e.union=function(t,i){return{x0:x(t.x0,i.x0),x1:y(t.x1,i.x1),y0:x(t.y0,i.y0),y1:y(t.y1,i.y1)}};class o{constructor(t){if(null==t)this.x0=0,this.y0=0,this.x1=0,this.y1=0;else if(\"x0\"in t){const{x0:i,y0:e,x1:h,y1:r}=t;if(!(i<=h&&e<=r))throw new Error(`invalid bbox {x0: ${i}, y0: ${e}, x1: ${h}, y1: ${r}}`);this.x0=i,this.y0=e,this.x1=h,this.y1=r}else if(\"x\"in t){const{x:i,y:e,width:h,height:r}=t;if(!(h>=0&&r>=0))throw new Error(`invalid bbox {x: ${i}, y: ${e}, width: ${h}, height: ${r}}`);this.x0=i,this.y0=e,this.x1=i+h,this.y1=e+r}else{let i,e,h,r;if(\"width\"in t)if(\"left\"in t)i=t.left,e=i+t.width;else if(\"right\"in t)e=t.right,i=e-t.width;else{const h=t.width/2;i=t.hcenter-h,e=t.hcenter+h}else i=t.left,e=t.right;if(\"height\"in t)if(\"top\"in t)h=t.top,r=h+t.height;else if(\"bottom\"in t)r=t.bottom,h=r-t.height;else{const i=t.height/2;h=t.vcenter-i,r=t.vcenter+i}else h=t.top,r=t.bottom;if(!(i<=e&&h<=r))throw new Error(`invalid bbox {left: ${i}, top: ${h}, right: ${e}, bottom: ${r}}`);this.x0=i,this.y0=h,this.x1=e,this.y1=r}}static from_rect({left:t,right:i,top:e,bottom:h}){return new o({x0:Math.min(t,i),y0:Math.min(e,h),x1:Math.max(t,i),y1:Math.max(e,h)})}equals(t){return this.x0==t.x0&&this.y0==t.y0&&this.x1==t.x1&&this.y1==t.y1}[n.equals](t,i){return i.eq(this.x0,t.x0)&&i.eq(this.y0,t.y0)&&i.eq(this.x1,t.x1)&&i.eq(this.y1,t.y1)}toString(){return`BBox({left: ${this.left}, top: ${this.top}, width: ${this.width}, height: ${this.height}})`}get left(){return this.x0}get top(){return this.y0}get right(){return this.x1}get bottom(){return this.y1}get p0(){return[this.x0,this.y0]}get p1(){return[this.x1,this.y1]}get x(){return this.x0}get y(){return this.y0}get width(){return this.x1-this.x0}get height(){return this.y1-this.y0}get size(){return{width:this.width,height:this.height}}get rect(){const{x0:t,y0:i,x1:e,y1:h}=this;return{p0:{x:t,y:i},p1:{x:e,y:i},p2:{x:e,y:h},p3:{x:t,y:h}}}get box(){const{x:t,y:i,width:e,height:h}=this;return{x:t,y:i,width:e,height:h}}get h_range(){return{start:this.x0,end:this.x1}}get v_range(){return{start:this.y0,end:this.y1}}get ranges(){return[this.h_range,this.v_range]}get aspect(){return this.width/this.height}get hcenter(){return(this.left+this.right)/2}get vcenter(){return(this.top+this.bottom)/2}get area(){return this.width*this.height}relative(){const{width:t,height:i}=this;return new o({x:0,y:0,width:t,height:i})}translate(t,i){const{x:e,y:h,width:r,height:s}=this;return new o({x:t+e,y:i+h,width:r,height:s})}relativize(t,i){return[t-this.x,i-this.y]}contains(t,i){return this.x0<=t&&t<=this.x1&&this.y0<=i&&i<=this.y1}clip(t,i){return 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 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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} 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e={};if(null!=t)for(var a in t)\"default\"!==a&&Object.prototype.hasOwnProperty.call(t,a)&&r(e,t,a);return i(e,t),e};s();const o=t(15),u=t(138);class c{constructor(){this.ready=new o.Signal0(this,\"ready\"),this.status=\"not_started\"}}a.MathJaxProvider=c,c.__name__=\"MathJaxProvider\";class h extends c{get MathJax(){return null}async fetch(){this.status=\"failed\"}}a.NoProvider=h,h.__name__=\"NoProvider\";class l extends c{get MathJax(){return\"undefined\"!=typeof MathJax?MathJax:null}async fetch(){const t=document.createElement(\"script\");t.src=\"https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-svg.js\",t.onload=()=>{this.status=\"loaded\",this.ready.emit()},t.onerror=()=>{this.status=\"failed\"},this.status=\"loading\",document.head.appendChild(t)}}a.CDNProvider=l,l.__name__=\"CDNProvider\";class _ extends c{get MathJax(){return this._mathjax}async fetch(){this.status=\"loading\";try{const 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r}(t,e),s=this.months;return{major:(0,l.concat)(r.map((t=>s.map((e=>{const n=(0,o.copy_date)(t);return n.setUTCMonth(e),n}))))).map((t=>t.getTime())).filter((n=>t<=n&&n<=e)),minor:[]}}}n.MonthsTicker=_,s=_,_.__name__=\"MonthsTicker\",s.define((({Int:t,Array:e})=>({months:[e(t),[]]})))},\n function _(e,t,a,i,r){i();const n=e(147),_=e(158),s=e(159);class c extends _.SingleIntervalTicker{constructor(e){super(e)}initialize(){super.initialize(),this.interval=s.ONE_YEAR,this.basic_ticker=new n.BasicTicker({num_minor_ticks:0})}get_ticks_no_defaults(e,t,a,i){const r=(0,s.last_year_no_later_than)(new Date(e)).getUTCFullYear(),n=(0,s.last_year_no_later_than)(new Date(t)).getUTCFullYear();return{major:this.basic_ticker.get_ticks_no_defaults(r,n,a,i).major.map((e=>Date.UTC(e,0,1))).filter((a=>e<=a&&a<=t)),minor:[]}}}a.YearsTicker=c,c.__name__=\"YearsTicker\"},\n function _(e,o,i,s,t){var n;s();const r=e(143),_=e(163),c=e(164);class a extends r.ContinuousAxisView{}i.LogAxisView=a,a.__name__=\"LogAxisView\";class u extends r.ContinuousAxis{constructor(e){super(e)}}i.LogAxis=u,n=u,u.__name__=\"LogAxis\",n.prototype.default_view=a,n.override({ticker:()=>new c.LogTicker,formatter:()=>new _.LogTickFormatter})},\n function _(e,t,n,o,r){var i;o();const a=e(131),s=e(146),c=e(164),l=e(120),{abs:u,log:x,round:_}=Math;class p extends a.TickFormatter{constructor(e){super(e)}initialize(){super.initialize(),this.basic_formatter=new s.BasicTickFormatter}format_graphics(e,t){var n,o;if(0==e.length)return[];const r=null!==(o=null===(n=this.ticker)||void 0===n?void 0:n.base)&&void 0!==o?o:10,i=this._exponents(e,r);return null==i?this.basic_formatter.format_graphics(e,t):i.map((e=>{if(u(e)u(e)({ticker:[n(t(c.LogTicker)),null],min_exponent:[e,0]})))},\n function _(t,o,e,s,n){var r;s();const i=t(148),a=t(9);class c extends i.AdaptiveTicker{constructor(t){super(t)}get_ticks_no_defaults(t,o,e,s){const n=this.num_minor_ticks,r=[],i=this.base,c=Math.log(t)/Math.log(i),f=Math.log(o)/Math.log(i),l=f-c;let h;if(isFinite(l))if(l<2){const e=this.get_interval(t,o,s),i=Math.floor(t/e),c=Math.ceil(o/e);if(h=(0,a.range)(i,c+1).filter((t=>0!=t)).map((t=>t*e)).filter((e=>t<=e&&e<=o)),n>0&&h.length>0){const t=e/n,o=(0,a.range)(0,n).map((o=>o*t));for(const t of o.slice(1))r.push(h[0]-t);for(const t of h)for(const e of o)r.push(t+e)}}else{const t=Math.ceil(.999999*c),o=Math.floor(1.000001*f),e=Math.ceil((o-t)/9);if(h=(0,a.range)(t-1,o+1,e).map((t=>i**t)),n>0&&h.length>0){const t=i**e/n,o=(0,a.range)(1,n+1).map((o=>o*t));for(const t of o)r.push(h[0]/t);r.push(h[0]);for(const t of h)for(const e of o)r.push(t*e)}}else h=[];return{major:h.filter((e=>t<=e&&e<=o)),minor:r.filter((e=>t<=e&&e<=o))}}}e.LogTicker=c,r=c,c.__name__=\"LogTicker\",r.override({mantissas:[1,5]})},\n function _(e,r,t,i,a){var o;i();const s=e(128),c=e(145),n=e(166),_=e(167);class x extends s.AxisView{}t.MercatorAxisView=x,x.__name__=\"MercatorAxisView\";class d extends c.LinearAxis{constructor(e){super(e)}}t.MercatorAxis=d,o=d,d.__name__=\"MercatorAxis\",o.prototype.default_view=x,o.override({ticker:()=>new _.MercatorTicker({dimension:\"lat\"}),formatter:()=>new n.MercatorTickFormatter({dimension:\"lat\"})})},\n function _(r,t,e,o,n){var i;o();const c=r(146),s=r(20),a=r(78);class l extends c.BasicTickFormatter{constructor(r){super(r)}doFormat(r,t){if(null==this.dimension)throw new Error(\"MercatorTickFormatter.dimension not configured\");if(0==r.length)return[];const e=r.length,o=new Array(e);if(\"lon\"==this.dimension)for(let n=0;n({dimension:[r(s.LatLon),null]})))},\n function _(t,o,n,s,r){var e;s();const i=t(147),c=t(20),_=t(78);class a extends i.BasicTicker{constructor(t){super(t)}get_ticks_no_defaults(t,o,n,s){if(null==this.dimension)throw new Error(`${this}.dimension wasn't configured`);return[t,o]=(0,_.clip_mercator)(t,o,this.dimension),\"lon\"==this.dimension?this._get_ticks_lon(t,o,n,s):this._get_ticks_lat(t,o,n,s)}_get_ticks_lon(t,o,n,s){const[r]=_.wgs84_mercator.invert(t,n),[e,i]=_.wgs84_mercator.invert(o,n),c=super.get_ticks_no_defaults(r,e,n,s),a=[];for(const t of c.major)if((0,_.in_bounds)(t,\"lon\")){const[o]=_.wgs84_mercator.compute(t,i);a.push(o)}const m=[];for(const t of c.minor)if((0,_.in_bounds)(t,\"lon\")){const[o]=_.wgs84_mercator.compute(t,i);m.push(o)}return{major:a,minor:m}}_get_ticks_lat(t,o,n,s){const[,r]=_.wgs84_mercator.invert(n,t),[e,i]=_.wgs84_mercator.invert(n,o),c=super.get_ticks_no_defaults(r,i,n,s),a=[];for(const t of c.major)if((0,_.in_bounds)(t,\"lat\")){const[,o]=_.wgs84_mercator.compute(e,t);a.push(o)}const m=[];for(const t of c.minor)if((0,_.in_bounds)(t,\"lat\")){const[,o]=_.wgs84_mercator.compute(e,t);m.push(o)}return{major:a,minor:m}}}n.MercatorTicker=a,e=a,a.__name__=\"MercatorTicker\",e.define((({Nullable:t})=>({dimension:[t(c.LatLon),null]})))},\n function _(e,i,r,c,k){c(),k(\"AdaptiveTicker\",e(148).AdaptiveTicker),k(\"BasicTicker\",e(147).BasicTicker),k(\"CategoricalTicker\",e(141).CategoricalTicker),k(\"CompositeTicker\",e(156).CompositeTicker),k(\"ContinuousTicker\",e(149).ContinuousTicker),k(\"DatetimeTicker\",e(155).DatetimeTicker),k(\"DaysTicker\",e(157).DaysTicker),k(\"FixedTicker\",e(169).FixedTicker),k(\"LogTicker\",e(164).LogTicker),k(\"MercatorTicker\",e(167).MercatorTicker),k(\"MonthsTicker\",e(160).MonthsTicker),k(\"SingleIntervalTicker\",e(158).SingleIntervalTicker),k(\"Ticker\",e(130).Ticker),k(\"YearsTicker\",e(161).YearsTicker),k(\"BinnedTicker\",e(170).BinnedTicker)},\n function _(r,t,e,i,n){var s;i();const _=r(149);class c extends _.ContinuousTicker{constructor(r){super(r)}get_ticks_no_defaults(r,t,e,i){return{major:this.ticks,minor:this.minor_ticks}}get_interval(r,t,e){return 0}get_min_interval(){return 0}get_max_interval(){return 0}}e.FixedTicker=c,s=c,c.__name__=\"FixedTicker\",s.define((({Number:r,Array:t})=>({ticks:[t(r),[]],minor_ticks:[t(r),[]]})))},\n function _(e,n,t,r,i){var o;r();const a=e(130),s=e(171),c=e(12);class m extends a.Ticker{constructor(e){super(e)}get_ticks(e,n,t,r){const{binning:i}=this.mapper.metrics,o=Math.max(0,(0,c.left_edge_index)(e,i)),a=Math.min((0,c.left_edge_index)(n,i)+1,i.length-1),s=[];for(let e=o;e<=a;e++)s.push(i[e]);const{num_major_ticks:m}=this,_=[],h=\"auto\"==m?s.length:m,l=Math.max(1,Math.floor(s.length/h));for(let e=0;e({mapper:[n(s.ScanningColorMapper)],num_major_ticks:[t(e,r),8]})))},\n function _(n,e,i,r,o){r();const t=n(172),a=n(12);class c extends t.ContinuousColorMapper{constructor(n){super(n)}cmap(n,e,i,r,o){if(no.binning[o.binning.length-1])return r;return e[(0,a.left_edge_index)(n,o.binning)]}}i.ScanningColorMapper=c,c.__name__=\"ScanningColorMapper\"},\n function _(t,e,o,n,s){var l;n();const c=t(173),i=t(175),a=t(9),h=t(8);class r extends c.ColorMapper{constructor(t){super(t),this._scan_data=null}connect_signals(){super.connect_signals();const t=()=>{for(const[t]of this.domain)this.connect(t.view.change,(()=>this.update_data())),this.connect(t.data_source.selected.change,(()=>this.update_data()))};this.connect(this.properties.domain.change,(()=>t())),t()}update_data(){const{domain:t,palette:e}=this,o=[...this._collect(t)];this._scan_data=this.scan(o,e.length),this.metrics_change.emit(),this.change.emit()}get metrics(){return null==this._scan_data&&this.update_data(),this._scan_data}*_collect(t){for(const[e,o]of t)for(const t of(0,h.isArray)(o)?o:[o]){let o=e.data_source.get_column(t);o=e.view.indices.select(o);const n=e.view.masked,s=e.data_source.selected.indices;let l;if(null!=n&&s.length>0?l=(0,a.intersection)([...n],s):null!=n?l=[...n]:s.length>0&&(l=s),null!=l&&(o=(0,a.map)(l,(t=>o[t]))),o.length>0&&!(0,h.isNumber)(o[0]))for(const t of o)yield*t;else yield*o}}_v_compute(t,e,o,n){const{nan_color:s}=n;let{low_color:l,high_color:c}=n;null==l&&(l=o[0]),null==c&&(c=o[o.length-1]);const{domain:i}=this,h=(0,a.is_empty)(i)?t:[...this._collect(i)];this._scan_data=this.scan(h,o.length),this.metrics_change.emit();for(let n=0,i=t.length;n({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:{fill_alpha:.2},line:{}};class x extends n.DataRendererView{get glyph_view(){return this.glyph}async lazy_initialize(){var e;await super.lazy_initialize();const t=this.model.glyph;this.glyph=await this.build_glyph_view(t);const i=\"fill\"in this.glyph.visuals,s=\"line\"in this.glyph.visuals,l=Object.assign({},t.attributes);function h(e){const h=(0,y.clone)(l);return i&&(0,y.extend)(h,e.fill),s&&(0,y.extend)(h,e.line),new t.constructor(h)}function n(e,t){return t instanceof r.Glyph?t:h(\"auto\"==t?e:{fill:{},line:{}})}delete l.id;let{selection_glyph:o,nonselection_glyph:a,hover_glyph:c,muted_glyph:_}=this.model;o=n(f,o),this.selection_glyph=await this.build_glyph_view(o),a=n(b,a),this.nonselection_glyph=await this.build_glyph_view(a),null!=c&&(this.hover_glyph=await this.build_glyph_view(c)),_=n(V,_),this.muted_glyph=await this.build_glyph_view(_);const d=n(w,\"auto\");this.decimated_glyph=await this.build_glyph_view(d),this.selection_glyph.set_base(this.glyph),this.nonselection_glyph.set_base(this.glyph),null===(e=this.hover_glyph)||void 0===e||e.set_base(this.glyph),this.muted_glyph.set_base(this.glyph),this.decimated_glyph.set_base(this.glyph),this.set_data()}async build_glyph_view(e){return(0,m.build_view)(e,{parent:this})}remove(){var e;this.glyph.remove(),this.selection_glyph.remove(),this.nonselection_glyph.remove(),null===(e=this.hover_glyph)||void 0===e||e.remove(),this.muted_glyph.remove(),this.decimated_glyph.remove(),super.remove()}connect_signals(){super.connect_signals();const e=()=>this.request_render(),t=()=>this.update_data();this.connect(this.model.change,e),this.connect(this.glyph.model.change,t),this.connect(this.selection_glyph.model.change,t),this.connect(this.nonselection_glyph.model.change,t),null!=this.hover_glyph&&this.connect(this.hover_glyph.model.change,t),this.connect(this.muted_glyph.model.change,t),this.connect(this.decimated_glyph.model.change,t),this.connect(this.model.data_source.change,t),this.connect(this.model.data_source.streaming,t),this.connect(this.model.data_source.patching,(e=>this.update_data(e))),this.connect(this.model.data_source.selected.change,e),this.connect(this.model.data_source._select,e),null!=this.hover_glyph&&this.connect(this.model.data_source.inspect,e),this.connect(this.model.properties.view.change,t),this.connect(this.model.view.properties.indices.change,t),this.connect(this.model.view.properties.masked.change,(()=>this.set_visuals())),this.connect(this.model.properties.visible.change,(()=>this.plot_view.invalidate_dataranges=!0));const{x_ranges:i,y_ranges:s}=this.plot_view.frame;for(const[,e]of i)e instanceof v.FactorRange&&this.connect(e.change,t);for(const[,e]of s)e instanceof v.FactorRange&&this.connect(e.change,t);const{transformchange:l,exprchange:h}=this.model.glyph;this.connect(l,t),this.connect(h,t)}_update_masked_indices(){const e=this.glyph.mask_data();return this.model.view.masked=e,e}update_data(e){this.set_data(e),this.request_render()}set_data(e){const t=this.model.data_source;this.all_indices=this.model.view.indices;const{all_indices:i}=this;this.glyph.set_data(t,i,e),this.set_visuals(),this._update_masked_indices();const{lod_factor:s}=this.plot_model,l=this.all_indices.count;this.decimated=new g.Indices(l);for(let e=0;e!n||n.is_empty()?[]:n.selected_glyph?this.model.view.convert_indices_from_subset(i):n.indices.length>0?n.indices:Object.keys(n.multiline_indices).map((e=>parseInt(e))))()),d=(0,u.filter)(i,(e=>r.has(t[e]))),{lod_threshold:p}=this.plot_model;let g,y,m;if(null!=this.model.document&&this.model.document.interactive_duration()>0&&!e&&null!=p&&t.length>p?(i=[...this.decimated],g=this.decimated_glyph,y=this.decimated_glyph,m=this.selection_glyph):(g=this.model.muted?this.muted_glyph:this.glyph,y=this.nonselection_glyph,m=this.selection_glyph),null!=this.hover_glyph&&d.length){const e=new Set(i);for(const t of d)e.delete(t);i=[...e]}if(h.length){const e={};for(const t of h)e[t]=!0;const l=new Array,n=new Array;if(this.glyph instanceof o.LineView)for(const i of t)null!=e[i]?l.push(i):n.push(i);else for(const s of i)null!=e[t[s]]?l.push(s):n.push(s);y.render(s,n),m.render(s,l),null!=this.hover_glyph&&(this.glyph instanceof o.LineView?this.hover_glyph.render(s,this.model.view.convert_indices_from_subset(d)):this.hover_glyph.render(s,d))}else if(this.glyph instanceof o.LineView)this.hover_glyph&&d.length?this.hover_glyph.render(s,this.model.view.convert_indices_from_subset(d)):g.render(s,t);else if(this.glyph instanceof a.PatchView||this.glyph instanceof c.HAreaView||this.glyph instanceof _.VAreaView)if(0==n.selected_glyphs.length||null==this.hover_glyph)g.render(s,t);else for(const e of n.selected_glyphs)e==this.glyph.model&&this.hover_glyph.render(s,t);else g.render(s,i),this.hover_glyph&&d.length&&this.hover_glyph.render(s,d);s.restore()}draw_legend(e,t,i,s,l,h,n,o){0!=this.glyph.data_size&&(null==o&&(o=this.model.get_reference_point(h,n)),this.glyph.draw_legend_for_index(e,{x0:t,x1:i,y0:s,y1:l},o))}hit_test(e){if(!this.model.visible)return null;const t=this.glyph.hit_test(e);return null==t?null:this.model.view.convert_selection_from_subset(t)}}i.GlyphRendererView=x,x.__name__=\"GlyphRendererView\";class G extends n.DataRenderer{constructor(e){super(e)}initialize(){super.initialize(),this.view.source!=this.data_source&&(this.view.source=this.data_source,this.view.compute_indices())}get_reference_point(e,t){if(null!=e){const i=this.data_source.get_column(e);if(null!=i)for(const[e,s]of Object.entries(this.view.indices_map))if(i[parseInt(e)]==t)return s}return 0}get_selection_manager(){return this.data_source.selection_manager}}i.GlyphRenderer=G,h=G,G.__name__=\"GlyphRenderer\",h.prototype.default_view=x,h.define((({Boolean:e,Auto:t,Or:i,Ref:s,Null:l,Nullable:h})=>({data_source:[s(d.ColumnarDataSource)],view:[s(p.CDSView),e=>new p.CDSView({source:e.data_source})],glyph:[s(r.Glyph)],hover_glyph:[h(s(r.Glyph)),null],nonselection_glyph:[i(s(r.Glyph),t,l),\"auto\"],selection_glyph:[i(s(r.Glyph),t,l),\"auto\"],muted_glyph:[i(s(r.Glyph),t,l),\"auto\"],muted:[e,!1]})))},\n function _(e,r,t,a,n){var s;a();const c=e(41);class _ extends c.RendererView{get xscale(){return this.coordinates.x_scale}get yscale(){return this.coordinates.y_scale}}t.DataRendererView=_,_.__name__=\"DataRendererView\";class i extends c.Renderer{constructor(e){super(e)}get selection_manager(){return this.get_selection_manager()}}t.DataRenderer=i,s=i,i.__name__=\"DataRenderer\",s.override({level:\"glyph\"})},\n function _(e,t,i,s,n){s();const l=e(1);var _;const r=e(178),o=e(184),a=(0,l.__importStar)(e(48)),h=(0,l.__importStar)(e(185)),c=e(72);class d extends r.XYGlyphView{async lazy_initialize(){await super.lazy_initialize();const{webgl:t}=this.renderer.plot_view.canvas_view;if(null==t?void 0:t.regl_wrapper.has_webgl){const{LineGL:i}=await Promise.resolve().then((()=>(0,l.__importStar)(e(426))));this.glglyph=new i(t.regl_wrapper,this)}}_render(e,t,i){const{sx:s,sy:n}=null!=i?i:this;let l=null;const _=e=>null!=l&&e-l!=1;let r=!0;e.beginPath();for(const i of t){const t=s[i],o=n[i];isFinite(t+o)?r||_(i)?(e.moveTo(t,o),r=!1):e.lineTo(t,o):r=!0,l=i}this.visuals.line.set_value(e),e.stroke()}_hit_point(e){const t=new c.Selection,i={x:e.sx,y:e.sy};let s=9999;const n=Math.max(2,this.line_width.value/2);for(let e=0,l=this.sx.length-1;e({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();null===(s=this.glglyph)||void 0===s||s.set_visuals_changed()}set_data(e,t,s){var i;const{x_source:n,y_source:r}=this.renderer.coordinates,o=new Set(this._iter_visuals());this._data_size=t.count;for(const s of this.model)if((s instanceof a.VectorSpec||s instanceof a.ScalarSpec)&&!o.has(s))if(s instanceof a.BaseCoordinateSpec){const i=s.array(e);let o=t.select(i);const _=\"x\"==s.dimension?n:r;if(_ instanceof x.FactorRange)if(s instanceof a.CoordinateSpec)o=_.v_synthetic(o);else if(s instanceof a.CoordinateSeqSpec)for(let e=0;e{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 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r(e,n,{x0:a,x1:t,y0:i,y1:l},r){n.save(),n.beginPath(),n.moveTo(a,(i+l)/2),n.lineTo(t,(i+l)/2),e.line.apply(n,r),n.restore()}function c(e,n,{x0:a,x1:t,y0:i,y1:l},r){var c,o;const _=.1*Math.abs(t-a),s=.1*Math.abs(l-i),y=a+_,p=t-_,g=i+s,h=l-s;n.beginPath(),n.rect(y,g,p-y,h-g),e.fill.apply(n,r),null===(c=e.hatch)||void 0===c||c.apply(n,r),null===(o=e.line)||void 0===o||o.apply(n,r)}a.generic_line_scalar_legend=function(e,n,{x0:a,x1:t,y0:i,y1:l}){n.save(),n.beginPath(),n.moveTo(a,(i+l)/2),n.lineTo(t,(i+l)/2),e.line.apply(n),n.restore()},a.generic_line_vector_legend=r,a.generic_line_legend=r,a.generic_area_scalar_legend=function(e,n,{x0:a,x1:t,y0:i,y1:l}){var r,c;const o=.1*Math.abs(t-a),_=.1*Math.abs(l-i),s=a+o,y=t-o,p=i+_,g=l-_;n.beginPath(),n.rect(s,p,y-s,g-p),e.fill.apply(n),null===(r=e.hatch)||void 0===r||r.apply(n),null===(c=e.line)||void 0===c||c.apply(n)},a.generic_area_vector_legend=c,a.generic_area_legend=c,a.line_interpolation=function(e,n,a,t,i,r){const{sx:c,sy:o}=n;let _,s,y,p;\"point\"==n.type?([y,p]=e.yscale.r_invert(o-1,o+1),[_,s]=e.xscale.r_invert(c-1,c+1)):\"v\"==n.direction?([y,p]=e.yscale.r_invert(o,o),[_,s]=[Math.min(a-1,i-1),Math.max(a+1,i+1)]):([_,s]=e.xscale.r_invert(c,c),[y,p]=[Math.min(t-1,r-1),Math.max(t+1,r+1)]);const{x:g,y:h}=l.check_2_segments_intersect(_,y,s,p,a,t,i,r);return[g,h]}},\n function _(t,n,e,i,r){function s(t,n){return(t.x-n.x)**2+(t.y-n.y)**2}function o(t,n,e){const i=s(n,e);if(0==i)return s(t,n);const r=((t.x-n.x)*(e.x-n.x)+(t.y-n.y)*(e.y-n.y))/i;if(r<0)return s(t,n);if(r>1)return s(t,e);return s(t,{x:n.x+r*(e.x-n.x),y:n.y+r*(e.y-n.y)})}i(),e.point_in_poly=function(t,n,e,i){let r=!1,s=e[e.length-1],o=i[i.length-1];for(let u=0;u0&&_<1&&h>0&&h<1,x:t+_*(e-t),y:n+_*(i-n)}}}},\n function _(t,s,e,i,a){i();const l=t(1);var n;const _=t(178),o=t(184),c=(0,l.__importStar)(t(185)),h=(0,l.__importStar)(t(48)),r=t(72);class p extends _.XYGlyphView{_render(t,s,e){const{sx:i,sy:a}=null!=e?e:this;let l=!0;t.beginPath();for(const e of s){const s=i[e],n=a[e];isFinite(s+n)?l?(t.moveTo(s,n),l=!1):t.lineTo(s,n):(t.closePath(),l=!0)}t.closePath(),this.visuals.fill.apply(t),this.visuals.hatch.apply(t),this.visuals.line.apply(t)}draw_legend_for_index(t,s,e){(0,o.generic_area_scalar_legend)(this.visuals,t,s)}_hit_point(t){const s=new r.Selection;return c.point_in_poly(t.sx,t.sy,this.sx,this.sy)&&(s.add_to_selected_glyphs(this.model),s.view=this),s}}e.PatchView=p,p.__name__=\"PatchView\";class d extends _.XYGlyph{constructor(t){super(t)}}e.Patch=d,n=d,d.__name__=\"Patch\",n.prototype.default_view=p,n.mixins([h.LineScalar,h.FillScalar,h.HatchScalar])},\n function _(t,s,e,i,n){i();const h=t(1);var r;const a=t(188),_=(0,h.__importStar)(t(185)),o=(0,h.__importStar)(t(18)),l=t(72);class c extends a.AreaView{_index_data(t){const{min:s,max:e}=Math,{data_size:i}=this;for(let n=0;n=0;s--)t.lineTo(n[s],h[s]);t.closePath(),this.visuals.fill.apply(t),this.visuals.hatch.apply(t)}_hit_point(t){const s=this.sy.length,e=new l.Selection;for(let i=0,n=s-1;i({x1:[o.XCoordinateSpec,{field:\"x1\"}],x2:[o.XCoordinateSpec,{field:\"x2\"}],y:[o.YCoordinateSpec,{field:\"y\"}]})))},\n function _(e,a,r,_,s){_();const n=e(1);var c;const i=e(179),l=e(184),t=(0,n.__importStar)(e(48));class o extends i.GlyphView{draw_legend_for_index(e,a,r){(0,l.generic_area_scalar_legend)(this.visuals,e,a)}}r.AreaView=o,o.__name__=\"AreaView\";class d extends i.Glyph{constructor(e){super(e)}}r.Area=d,c=d,d.__name__=\"Area\",c.mixins([t.FillScalar,t.HatchScalar])},\n function _(t,s,e,i,n){i();const h=t(1);var r;const a=t(188),_=(0,h.__importStar)(t(185)),o=(0,h.__importStar)(t(18)),l=t(72);class c extends a.AreaView{_index_data(t){const{min:s,max:e}=Math,{data_size:i}=this;for(let n=0;n=0;s--)t.lineTo(i[s],h[s]);t.closePath(),this.visuals.fill.apply(t),this.visuals.hatch.apply(t)}scenterxy(t){return[this.sx[t],(this.sy1[t]+this.sy2[t])/2]}_hit_point(t){const s=this.sx.length,e=new l.Selection;for(let i=0,n=s-1;i({x:[o.XCoordinateSpec,{field:\"x\"}],y1:[o.YCoordinateSpec,{field:\"y1\"}],y2:[o.YCoordinateSpec,{field:\"y2\"}]})))},\n function _(e,i,s,t,n){var c;t();const o=e(53),r=e(24),u=e(191),_=e(70);class a extends o.Model{constructor(e){super(e)}initialize(){super.initialize(),this.compute_indices()}connect_signals(){super.connect_signals(),this.connect(this.properties.filters.change,(()=>this.compute_indices()));const e=()=>{const e=()=>this.compute_indices();null!=this.source&&(this.connect(this.source.change,e),this.source instanceof _.ColumnarDataSource&&(this.connect(this.source.streaming,e),this.connect(this.source.patching,e)))};let i=null!=this.source;i?e():this.connect(this.properties.source.change,(()=>{i||(e(),i=!0)}))}compute_indices(){var e;const{source:i}=this;if(null==i)return;const s=null!==(e=i.get_length())&&void 0!==e?e:1,t=r.Indices.all_set(s);for(const e of this.filters)t.intersect(e.compute_indices(i));this.indices=t,this._indices=[...t],this.indices_map_to_subset()}indices_map_to_subset(){this.indices_map={};for(let e=0;ethis._indices[e]))}convert_selection_to_subset(e){return e.map((e=>this.indices_map[e]))}convert_indices_from_subset(e){return e.map((e=>this._indices[e]))}}s.CDSView=a,c=a,a.__name__=\"CDSView\",c.define((({Array:e,Ref:i})=>({filters:[e(i(u.Filter)),[]],source:[i(_.ColumnarDataSource)]}))),c.internal((({Int:e,Dict:i,Ref:s,Nullable:t})=>({indices:[s(r.Indices)],indices_map:[i(e),{}],masked:[t(s(r.Indices)),null]})))},\n function _(e,t,n,s,c){s();const o=e(53);class r extends o.Model{constructor(e){super(e)}}n.Filter=r,r.__name__=\"Filter\"},\n function _(t,r,a,e,c){e(),c(\"BasicTickFormatter\",t(146).BasicTickFormatter),c(\"CategoricalTickFormatter\",t(142).CategoricalTickFormatter),c(\"DatetimeTickFormatter\",t(150).DatetimeTickFormatter),c(\"FuncTickFormatter\",t(193).FuncTickFormatter),c(\"LogTickFormatter\",t(163).LogTickFormatter),c(\"MercatorTickFormatter\",t(166).MercatorTickFormatter),c(\"NumeralTickFormatter\",t(194).NumeralTickFormatter),c(\"PrintfTickFormatter\",t(195).PrintfTickFormatter),c(\"TickFormatter\",t(131).TickFormatter)},\n function _(t,e,n,s,r){var c;s();const i=t(131),a=t(13),u=t(34);class o extends i.TickFormatter{constructor(t){super(t)}get names(){return(0,a.keys)(this.args)}get values(){return(0,a.values)(this.args)}_make_func(){const t=(0,u.use_strict)(this.code);return new Function(\"tick\",\"index\",\"ticks\",...this.names,t)}doFormat(t,e){const n=this._make_func().bind({});return t.map(((t,e,s)=>`${n(t,e,s,...this.values)}`))}}n.FuncTickFormatter=o,c=o,o.__name__=\"FuncTickFormatter\",c.define((({Unknown:t,String:e,Dict:n})=>({args:[n(t),{}],code:[e,\"\"]})))},\n function _(r,n,t,o,e){o();var a;const u=(0,r(1).__importStar)(r(153)),c=r(131),i=r(20);class s extends c.TickFormatter{constructor(r){super(r)}get _rounding_fn(){switch(this.rounding){case\"round\":case\"nearest\":return Math.round;case\"floor\":case\"rounddown\":return Math.floor;case\"ceil\":case\"roundup\":return Math.ceil}}doFormat(r,n){const{format:t,language:o,_rounding_fn:e}=this;return r.map((r=>u.format(r,t,o,e)))}}t.NumeralTickFormatter=s,a=s,s.__name__=\"NumeralTickFormatter\",a.define((({String:r})=>({format:[r,\"0,0\"],language:[r,\"en\"],rounding:[i.RoundingFunction,\"round\"]})))},\n function _(t,r,n,o,a){var e;o();const i=t(131),s=t(152);class c extends i.TickFormatter{constructor(t){super(t)}doFormat(t,r){return t.map((t=>(0,s.sprintf)(this.format,t)))}}n.PrintfTickFormatter=c,e=c,c.__name__=\"PrintfTickFormatter\",e.define((({String:t})=>({format:[t,\"%s\"]})))},\n function _(r,o,a,p,e){p(),e(\"CategoricalColorMapper\",r(197).CategoricalColorMapper),e(\"CategoricalMarkerMapper\",r(199).CategoricalMarkerMapper),e(\"CategoricalPatternMapper\",r(200).CategoricalPatternMapper),e(\"ContinuousColorMapper\",r(172).ContinuousColorMapper),e(\"ColorMapper\",r(173).ColorMapper),e(\"LinearColorMapper\",r(201).LinearColorMapper),e(\"LogColorMapper\",r(202).LogColorMapper),e(\"ScanningColorMapper\",r(171).ScanningColorMapper),e(\"EqHistColorMapper\",r(203).EqHistColorMapper)},\n function _(t,o,r,a,e){var c;a();const s=t(198),l=t(173),n=t(67);class _ extends l.ColorMapper{constructor(t){super(t)}_v_compute(t,o,r,{nan_color:a}){(0,s.cat_v_compute)(t,this.factors,r,o,this.start,this.end,a)}}r.CategoricalColorMapper=_,c=_,_.__name__=\"CategoricalColorMapper\",c.define((({Number:t,Nullable:o})=>({factors:[n.FactorSeq],start:[t,0],end:[o(t),null]})))},\n function _(n,t,e,l,i){l();const c=n(12),u=n(8);function f(n,t){if(n.length!=t.length)return!1;for(let e=0,l=n.length;ef(n,h)))),s=_<0||_>=e.length?r:e[_],l[g]=s}}},\n function _(e,r,a,t,s){var c;t();const l=e(198),n=e(67),u=e(174),o=e(20);class p extends u.Mapper{constructor(e){super(e)}v_compute(e){const r=new Array(e.length);return(0,l.cat_v_compute)(e,this.factors,this.markers,r,this.start,this.end,this.default_value),r}}a.CategoricalMarkerMapper=p,c=p,p.__name__=\"CategoricalMarkerMapper\",c.define((({Number:e,Array:r,Nullable:a})=>({factors:[n.FactorSeq],markers:[r(o.MarkerType)],start:[e,0],end:[a(e),null],default_value:[o.MarkerType,\"circle\"]})))},\n function _(t,e,a,r,n){var s;r();const c=t(198),l=t(67),p=t(174),u=t(20);class o extends p.Mapper{constructor(t){super(t)}v_compute(t){const e=new Array(t.length);return(0,c.cat_v_compute)(t,this.factors,this.patterns,e,this.start,this.end,this.default_value),e}}a.CategoricalPatternMapper=o,s=o,o.__name__=\"CategoricalPatternMapper\",s.define((({Number:t,Array:e,Nullable:a})=>({factors:[l.FactorSeq],patterns:[e(u.HatchPatternType)],start:[t,0],end:[a(t),null],default_value:[u.HatchPatternType,\" \"]})))},\n function _(n,r,o,t,a){t();const e=n(172),i=n(12);class s extends e.ContinuousColorMapper{constructor(n){super(n)}scan(n,r){const o=null!=this.low?this.low:(0,i.min)(n),t=null!=this.high?this.high:(0,i.max)(n);return{max:t,min:o,norm_factor:1/(t-o),normed_interval:1/r}}cmap(n,r,o,t,a){const e=r.length-1;if(n==a.max)return r[e];const i=(n-a.min)*a.norm_factor,s=Math.floor(i/a.normed_interval);return s<0?o:s>e?t:r[s]}}o.LinearColorMapper=s,s.__name__=\"LinearColorMapper\"},\n function _(o,t,n,r,l){r();const a=o(172),s=o(12);class e extends a.ContinuousColorMapper{constructor(o){super(o)}scan(o,t){const n=null!=this.low?this.low:(0,s.min)(o),r=null!=this.high?this.high:(0,s.max)(o);return{max:r,min:n,scale:t/(Math.log(r)-Math.log(n))}}cmap(o,t,n,r,l){const a=t.length-1;if(o>l.max)return r;if(o==l.max)return t[a];if(oa&&(e=a),t[e]}}n.LogColorMapper=e,e.__name__=\"LogColorMapper\"},\n function _(e,n,s,t,l){var i;t();const r=e(171),o=e(12),c=e(9);class a extends r.ScanningColorMapper{constructor(e){super(e)}scan(e,n){let s=null!=this.low?this.low:(0,o.min)(e);const t=null!=this.high?this.high:(0,o.max)(e),l=this.bins,i=(0,c.linspace)(s,t,l+1),r=(0,o.bin_counts)(e,i);let a=0;for(let e=0;e1&&(f=1-n)}const d=(0,c.linspace)(f,1,n+1),g=(0,o.interpolate)(d,p,_);return this.rescale_discrete_levels?s=g[0]:g[0]=s,g[g.length-1]=t,{min:s,max:t,binning:g}}}s.EqHistColorMapper=a,i=a,a.__name__=\"EqHistColorMapper\",i.define((({Boolean:e,Int:n})=>({bins:[n,65536],rescale_discrete_levels:[e,!1]})))},\n function _(a,e,l,c,n){c(),n(\"CategoricalScale\",a(62).CategoricalScale),n(\"ContinuousScale\",a(60).ContinuousScale),n(\"LinearScale\",a(59).LinearScale),n(\"LinearInterpolationScale\",a(205).LinearInterpolationScale),n(\"LogScale\",a(61).LogScale),n(\"Scale\",a(55).Scale)},\n function _(e,r,n,t,a){var i;t();const s=e(55),o=e(59),c=e(12);class _ extends s.Scale{constructor(e){super(e)}connect_signals(){super.connect_signals();const{source_range:e,target_range:r}=this.properties;this.on_change([e,r],(()=>{this.linear_scale=new o.LinearScale({source_range:this.source_range,target_range:this.target_range})}))}get s_compute(){throw new Error(\"not implemented\")}get s_invert(){throw new Error(\"not implemented\")}compute(e){return e}v_compute(e){const{binning:r}=this,{start:n,end:t}=this.source_range,a=n,i=t,s=r.length,o=(t-n)/(s-1),_=new Float64Array(s);for(let e=0;e{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 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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 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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 l,r=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)&&r(t,e,i);return n(t,e),t};s();const h=e(14),c=e(28),u=e(226),_=e(19),d=e(43),p=e(20),b=e(13),v=e(250),g=e(65),w=e(138),y=e(235);const f=(()=>{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,w.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};_.logger.trace(\"WebGL is supported, but not the required extensions\")}else _.logger.trace(\"WebGL is supported, but bokehjs(.min).js bundle is not available\")}else _.logger.trace(\"WebGL is not supported\");return null}()})(),m={position:\"absolute\",top:\"0\",left:\"0\",width:\"100%\",height:\"100%\"};class x extends u.DOMView{constructor(){super(...arguments),this.bbox=new g.BBox,this.webgl=null}initialize(){super.initialize(),this.underlays_el=(0,d.div)({style:m}),this.primary=this.create_layer(),this.overlays=this.create_layer(),this.overlays_el=(0,d.div)({style:m}),this.events_el=(0,d.div)({class:\"bk-canvas-events\",style:m});const e=[this.underlays_el,this.primary.el,this.overlays.el,this.overlays_el,this.events_el];(0,b.extend)(this.el.style,m),(0,d.append)(this.el,...e),this.ui_event_bus=new v.UIEventBus(this)}async lazy_initialize(){if(await super.lazy_initialize(),\"webgl\"==this.model.output_backend&&(this.webgl=await f(),c.settings.force_webgl&&null==this.webgl))throw new Error(\"webgl is not available\")}remove(){this.ui_event_bus.destroy(),super.remove()}add_underlay(e){this.underlays_el.appendChild(e)}add_overlay(e){this.overlays_el.appendChild(e)}add_event(e){this.events_el.appendChild(e)}get pixel_ratio(){return this.primary.pixel_ratio}resize(e,t){this.bbox=new g.BBox({left:0,top:0,width:e,height:t}),this.primary.resize(e,t),this.overlays.resize(e,t)}prepare_webgl(e){const{webgl:t}=this;if(null!=t){const{width:i,height:s}=this.bbox;t.canvas.width=this.pixel_ratio*i,t.canvas.height=this.pixel_ratio*s;const[a,l,r,n]=e,{xview:o,yview:h}=this.bbox,c=o.compute(a),u=h.compute(l+n),_=this.pixel_ratio;t.regl_wrapper.set_scissor(_*c,_*u,_*r,_*n),this._clear_webgl()}}blit_webgl(e){const{webgl:t}=this;if(null!=t){if(_.logger.debug(\"Blitting WebGL canvas\"),e.restore(),e.drawImage(t.canvas,0,0),e.save(),this.model.hidpi){const t=this.pixel_ratio;e.scale(t,t),e.translate(.5,.5)}this._clear_webgl()}}_clear_webgl(){const{webgl:e}=this;if(null!=e){const{regl_wrapper:t,canvas:i}=e;t.clear(i.width,i.height)}}compose(){const e=this.create_layer(),{width:t,height:i}=this.bbox;return e.resize(t,i),e.ctx.drawImage(this.primary.canvas,0,0),e.ctx.drawImage(this.overlays.canvas,0,0),e}create_layer(){const{output_backend:e,hidpi:t}=this.model;return new y.CanvasLayer(e,t)}to_blob(){return this.compose().to_blob()}}i.CanvasView=x,x.__name__=\"CanvasView\";class z extends h.HasProps{constructor(e){super(e)}}i.Canvas=z,l=z,z.__name__=\"Canvas\",l.prototype.default_view=x,l.internal((({Boolean:e})=>({hidpi:[e,!0],output_backend:[p.OutputBackend,\"canvas\"]})))},\n function _(t,e,s,n,i){n();const r=t(1),a=(0,r.__importDefault)(t(225)),_=t(15),h=t(19),o=t(43),l=(0,r.__importStar)(t(251)),c=t(252),p=t(9),u=t(8),v=t(27),d=t(230);class g{constructor(t){this.canvas_view=t,this.pan_start=new _.Signal(this,\"pan:start\"),this.pan=new _.Signal(this,\"pan\"),this.pan_end=new _.Signal(this,\"pan:end\"),this.pinch_start=new _.Signal(this,\"pinch:start\"),this.pinch=new _.Signal(this,\"pinch\"),this.pinch_end=new _.Signal(this,\"pinch:end\"),this.rotate_start=new _.Signal(this,\"rotate:start\"),this.rotate=new _.Signal(this,\"rotate\"),this.rotate_end=new _.Signal(this,\"rotate:end\"),this.tap=new _.Signal(this,\"tap\"),this.doubletap=new _.Signal(this,\"doubletap\"),this.press=new _.Signal(this,\"press\"),this.pressup=new _.Signal(this,\"pressup\"),this.move_enter=new _.Signal(this,\"move:enter\"),this.move=new _.Signal(this,\"move\"),this.move_exit=new _.Signal(this,\"move:exit\"),this.scroll=new _.Signal(this,\"scroll\"),this.keydown=new _.Signal(this,\"keydown\"),this.keyup=new _.Signal(this,\"keyup\"),this.hammer=new a.default(this.hit_area,{touchAction:\"auto\",inputClass:a.default.TouchMouseInput}),this._prev_move=null,this._curr_pan=null,this._curr_pinch=null,this._curr_rotate=null,this._configure_hammerjs(),this.hit_area.addEventListener(\"mousemove\",(t=>this._mouse_move(t))),this.hit_area.addEventListener(\"mouseenter\",(t=>this._mouse_enter(t))),this.hit_area.addEventListener(\"mouseleave\",(t=>this._mouse_exit(t))),this.hit_area.addEventListener(\"contextmenu\",(t=>this._context_menu(t))),this.hit_area.addEventListener(\"wheel\",(t=>this._mouse_wheel(t))),document.addEventListener(\"keydown\",this),document.addEventListener(\"keyup\",this),this.menu=new d.ContextMenu([],{prevent_hide:t=>2==t.button&&t.target==this.hit_area}),this.hit_area.appendChild(this.menu.el)}get hit_area(){return this.canvas_view.events_el}destroy(){this.menu.remove(),this.hammer.destroy(),document.removeEventListener(\"keydown\",this),document.removeEventListener(\"keyup\",this)}handleEvent(t){\"keydown\"==t.type?this._key_down(t):\"keyup\"==t.type&&this._key_up(t)}_configure_hammerjs(){this.hammer.get(\"doubletap\").recognizeWith(\"tap\"),this.hammer.get(\"tap\").requireFailure(\"doubletap\"),this.hammer.get(\"doubletap\").dropRequireFailure(\"tap\"),this.hammer.on(\"doubletap\",(t=>this._doubletap(t))),this.hammer.on(\"tap\",(t=>this._tap(t))),this.hammer.on(\"press\",(t=>this._press(t))),this.hammer.on(\"pressup\",(t=>this._pressup(t))),this.hammer.get(\"pan\").set({direction:a.default.DIRECTION_ALL}),this.hammer.on(\"panstart\",(t=>this._pan_start(t))),this.hammer.on(\"pan\",(t=>this._pan(t))),this.hammer.on(\"panend\",(t=>this._pan_end(t))),this.hammer.get(\"pinch\").set({enable:!0}),this.hammer.on(\"pinchstart\",(t=>this._pinch_start(t))),this.hammer.on(\"pinch\",(t=>this._pinch(t))),this.hammer.on(\"pinchend\",(t=>this._pinch_end(t))),this.hammer.get(\"rotate\").set({enable:!0}),this.hammer.on(\"rotatestart\",(t=>this._rotate_start(t))),this.hammer.on(\"rotate\",(t=>this._rotate(t))),this.hammer.on(\"rotateend\",(t=>this._rotate_end(t)))}register_tool(t){const e=t.model.event_type;null!=e&&((0,u.isString)(e)?this._register_tool(t,e):e.forEach(((e,s)=>this._register_tool(t,e,s<1))))}_register_tool(t,e,s=!0){const n=t,{id:i}=n.model,r=t=>e=>{e.id==i&&t(e.e)},a=t=>e=>{t(e.e)};switch(e){case\"pan\":null!=n._pan_start&&n.connect(this.pan_start,r(n._pan_start.bind(n))),null!=n._pan&&n.connect(this.pan,r(n._pan.bind(n))),null!=n._pan_end&&n.connect(this.pan_end,r(n._pan_end.bind(n)));break;case\"pinch\":null!=n._pinch_start&&n.connect(this.pinch_start,r(n._pinch_start.bind(n))),null!=n._pinch&&n.connect(this.pinch,r(n._pinch.bind(n))),null!=n._pinch_end&&n.connect(this.pinch_end,r(n._pinch_end.bind(n)));break;case\"rotate\":null!=n._rotate_start&&n.connect(this.rotate_start,r(n._rotate_start.bind(n))),null!=n._rotate&&n.connect(this.rotate,r(n._rotate.bind(n))),null!=n._rotate_end&&n.connect(this.rotate_end,r(n._rotate_end.bind(n)));break;case\"move\":null!=n._move_enter&&n.connect(this.move_enter,r(n._move_enter.bind(n))),null!=n._move&&n.connect(this.move,r(n._move.bind(n))),null!=n._move_exit&&n.connect(this.move_exit,r(n._move_exit.bind(n)));break;case\"tap\":null!=n._tap&&n.connect(this.tap,r(n._tap.bind(n))),null!=n._doubletap&&n.connect(this.doubletap,r(n._doubletap.bind(n)));break;case\"press\":null!=n._press&&n.connect(this.press,r(n._press.bind(n))),null!=n._pressup&&n.connect(this.pressup,r(n._pressup.bind(n)));break;case\"scroll\":null!=n._scroll&&n.connect(this.scroll,r(n._scroll.bind(n)));break;default:throw new Error(`unsupported event_type: ${e}`)}s&&(null!=n._keydown&&n.connect(this.keydown,a(n._keydown.bind(n))),null!=n._keyup&&n.connect(this.keyup,a(n._keyup.bind(n))),v.is_mobile&&null!=n._scroll&&\"pinch\"==e&&(h.logger.debug(\"Registering scroll on touch screen\"),n.connect(this.scroll,r(n._scroll.bind(n)))))}_hit_test_renderers(t,e,s){var n;const i=t.get_renderer_views();for(const t of(0,p.reversed)(i))if(null===(n=t.interactive_hit)||void 0===n?void 0:n.call(t,e,s))return t;return null}set_cursor(t=\"default\"){this.hit_area.style.cursor=t}_hit_test_frame(t,e,s){return t.frame.bbox.contains(e,s)}_hit_test_canvas(t,e,s){return t.layout.bbox.contains(e,s)}_hit_test_plot(t,e){for(const s of this.canvas_view.plot_views)if(s.layout.bbox.relative().contains(t,e))return s;return null}_trigger(t,e,s){var n;const{sx:i,sy:r}=e,a=this._hit_test_plot(i,r),_=t=>{const[s,n]=[i,r];return Object.assign(Object.assign({},e),{sx:s,sy:n})};if(\"panstart\"==e.type||\"pan\"==e.type||\"panend\"==e.type){let n;if(\"panstart\"==e.type&&null!=a?(this._curr_pan={plot_view:a},n=a):\"pan\"==e.type&&null!=this._curr_pan?n=this._curr_pan.plot_view:\"panend\"==e.type&&null!=this._curr_pan?(n=this._curr_pan.plot_view,this._curr_pan=null):n=null,null!=n){const e=_();this.__trigger(n,t,e,s)}}else if(\"pinchstart\"==e.type||\"pinch\"==e.type||\"pinchend\"==e.type){let n;if(\"pinchstart\"==e.type&&null!=a?(this._curr_pinch={plot_view:a},n=a):\"pinch\"==e.type&&null!=this._curr_pinch?n=this._curr_pinch.plot_view:\"pinchend\"==e.type&&null!=this._curr_pinch?(n=this._curr_pinch.plot_view,this._curr_pinch=null):n=null,null!=n){const e=_();this.__trigger(n,t,e,s)}}else if(\"rotatestart\"==e.type||\"rotate\"==e.type||\"rotateend\"==e.type){let n;if(\"rotatestart\"==e.type&&null!=a?(this._curr_rotate={plot_view:a},n=a):\"rotate\"==e.type&&null!=this._curr_rotate?n=this._curr_rotate.plot_view:\"rotateend\"==e.type&&null!=this._curr_rotate?(n=this._curr_rotate.plot_view,this._curr_rotate=null):n=null,null!=n){const e=_();this.__trigger(n,t,e,s)}}else if(\"mouseenter\"==e.type||\"mousemove\"==e.type||\"mouseleave\"==e.type){const h=null===(n=this._prev_move)||void 0===n?void 0:n.plot_view;if(null!=h&&(\"mouseleave\"==e.type||h!=a)){const{sx:t,sy:e}=_();this.__trigger(h,this.move_exit,{type:\"mouseleave\",sx:t,sy:e,shiftKey:!1,ctrlKey:!1},s)}if(null!=a&&(\"mouseenter\"==e.type||h!=a)){const{sx:t,sy:e}=_();this.__trigger(a,this.move_enter,{type:\"mouseenter\",sx:t,sy:e,shiftKey:!1,ctrlKey:!1},s)}if(null!=a&&\"mousemove\"==e.type){const e=_();this.__trigger(a,t,e,s)}this._prev_move={sx:i,sy:r,plot_view:a}}else if(null!=a){const e=_();this.__trigger(a,t,e,s)}}__trigger(t,e,s,n){var i,r,a;const _=t.model.toolbar.gestures,h=e.name.split(\":\")[0],o=this._hit_test_renderers(t,s.sx,s.sy),l=this._hit_test_canvas(t,s.sx,s.sy);switch(h){case\"move\":{const n=_.move.active;null!=n&&this.trigger(e,s,n.id);const r=t.model.toolbar.inspectors.filter((t=>t.active));let a=\"default\";null!=o?(a=null!==(i=o.cursor(s.sx,s.sy))&&void 0!==i?i:a,(0,p.is_empty)(r)||(e=this.move_exit)):this._hit_test_frame(t,s.sx,s.sy)&&((0,p.is_empty)(r)||(a=\"crosshair\")),this.set_cursor(a),t.set_toolbar_visibility(l),r.map((t=>this.trigger(e,s,t.id)));break}case\"tap\":{const{target:i}=n;if(null!=i&&i!=this.hit_area)return;if(null===(r=null==o?void 0:o.on_hit)||void 0===r||r.call(o,s.sx,s.sy),this._hit_test_frame(t,s.sx,s.sy)){const t=_.tap.active;null!=t&&this.trigger(e,s,t.id)}break}case\"doubletap\":if(this._hit_test_frame(t,s.sx,s.sy)){const t=null!==(a=_.doubletap.active)&&void 0!==a?a:_.tap.active;null!=t&&this.trigger(e,s,t.id)}break;case\"scroll\":{const t=_[v.is_mobile?\"pinch\":\"scroll\"].active;null!=t&&(n.preventDefault(),n.stopPropagation(),this.trigger(e,s,t.id));break}case\"pan\":{const t=_.pan.active;null!=t&&(n.preventDefault(),this.trigger(e,s,t.id));break}default:{const t=_[h].active;null!=t&&this.trigger(e,s,t.id)}}this._trigger_bokeh_event(t,s)}trigger(t,e,s=null){t.emit({id:s,e})}_trigger_bokeh_event(t,e){const s=(()=>{const{sx:s,sy:n}=e,i=t.frame.x_scale.invert(s),r=t.frame.y_scale.invert(n);switch(e.type){case\"wheel\":return new l.MouseWheel(s,n,i,r,e.delta);case\"mousemove\":return new l.MouseMove(s,n,i,r);case\"mouseenter\":return new l.MouseEnter(s,n,i,r);case\"mouseleave\":return new l.MouseLeave(s,n,i,r);case\"tap\":return new l.Tap(s,n,i,r);case\"doubletap\":return new l.DoubleTap(s,n,i,r);case\"press\":return new l.Press(s,n,i,r);case\"pressup\":return new l.PressUp(s,n,i,r);case\"pan\":return new l.Pan(s,n,i,r,e.deltaX,e.deltaY);case\"panstart\":return new l.PanStart(s,n,i,r);case\"panend\":return new l.PanEnd(s,n,i,r);case\"pinch\":return new l.Pinch(s,n,i,r,e.scale);case\"pinchstart\":return new l.PinchStart(s,n,i,r);case\"pinchend\":return new l.PinchEnd(s,n,i,r);case\"rotate\":return new l.Rotate(s,n,i,r,e.rotation);case\"rotatestart\":return new l.RotateStart(s,n,i,r);case\"rotateend\":return new l.RotateEnd(s,n,i,r);default:return}})();null!=s&&t.model.trigger_event(s)}_get_sxy(t){const{pageX:e,pageY:s}=function(t){return\"undefined\"!=typeof TouchEvent&&t instanceof TouchEvent}(t)?(0!=t.touches.length?t.touches:t.changedTouches)[0]:t,{left:n,top:i}=(0,o.offset)(this.hit_area);return{sx:e-n,sy:s-i}}_pan_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{deltaX:t.deltaX,deltaY:t.deltaY,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_pinch_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{scale:t.scale,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_rotate_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{rotation:t.rotation,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_tap_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_move_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_scroll_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{delta:(0,c.getDeltaY)(t),shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_key_event(t){return{type:t.type,keyCode:t.keyCode}}_pan_start(t){const e=this._pan_event(t);e.sx-=t.deltaX,e.sy-=t.deltaY,this._trigger(this.pan_start,e,t.srcEvent)}_pan(t){this._trigger(this.pan,this._pan_event(t),t.srcEvent)}_pan_end(t){this._trigger(this.pan_end,this._pan_event(t),t.srcEvent)}_pinch_start(t){this._trigger(this.pinch_start,this._pinch_event(t),t.srcEvent)}_pinch(t){this._trigger(this.pinch,this._pinch_event(t),t.srcEvent)}_pinch_end(t){this._trigger(this.pinch_end,this._pinch_event(t),t.srcEvent)}_rotate_start(t){this._trigger(this.rotate_start,this._rotate_event(t),t.srcEvent)}_rotate(t){this._trigger(this.rotate,this._rotate_event(t),t.srcEvent)}_rotate_end(t){this._trigger(this.rotate_end,this._rotate_event(t),t.srcEvent)}_tap(t){this._trigger(this.tap,this._tap_event(t),t.srcEvent)}_doubletap(t){this._trigger(this.doubletap,this._tap_event(t),t.srcEvent)}_press(t){this._trigger(this.press,this._tap_event(t),t.srcEvent)}_pressup(t){this._trigger(this.pressup,this._tap_event(t),t.srcEvent)}_mouse_enter(t){this._trigger(this.move_enter,this._move_event(t),t)}_mouse_move(t){this._trigger(this.move,this._move_event(t),t)}_mouse_exit(t){this._trigger(this.move_exit,this._move_event(t),t)}_mouse_wheel(t){this._trigger(this.scroll,this._scroll_event(t),t)}_context_menu(t){!this.menu.is_open&&this.menu.can_open&&t.preventDefault();const{sx:e,sy:s}=this._get_sxy(t);this.menu.toggle({left:e,top:s})}_key_down(t){this.trigger(this.keydown,this._key_event(t))}_key_up(t){this.trigger(this.keyup,this._key_event(t))}}s.UIEventBus=g,g.__name__=\"UIEventBus\"},\n 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i=Math.atan2(t-this.sy[e],s-this.sx[e]);(0,l.angle_between)(-i,-this.start_angle.get(e),-this.end_angle.get(e),x)&&m.push(e)}return new g.Selection({indices:m})}draw_legend_for_index(e,s,t){(0,o.generic_area_vector_legend)(this.visuals,e,s,t)}scenterxy(e){const s=(this.sinner_radius[e]+this.souter_radius[e])/2,t=(this.start_angle.get(e)+this.end_angle.get(e))/2;return[this.sx[e]+s*Math.cos(t),this.sy[e]+s*Math.sin(t)]}}t.AnnularWedgeView=x,x.__name__=\"AnnularWedgeView\";class m extends _.XYGlyph{constructor(e){super(e)}}t.AnnularWedge=m,a=m,m.__name__=\"AnnularWedge\",a.prototype.default_view=x,a.mixins([d.LineVector,d.FillVector,d.HatchVector]),a.define((({})=>({direction:[h.Direction,\"anticlock\"],inner_radius:[c.DistanceSpec,{field:\"inner_radius\"}],outer_radius:[c.DistanceSpec,{field:\"outer_radius\"}],start_angle:[c.AngleSpec,{field:\"start_angle\"}],end_angle:[c.AngleSpec,{field:\"end_angle\"}]})))},\n function _(s,e,i,r,t){r();const n=s(1);var a;const u=s(178),o=s(24),_=s(48),d=(0,n.__importStar)(s(18)),h=s(27),c=s(72);class l extends u.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this.inner_radius):this.sinner_radius=(0,o.to_screen)(this.inner_radius),\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this.outer_radius):this.souter_radius=(0,o.to_screen)(this.outer_radius)}_render(s,e,i){const{sx:r,sy:t,sinner_radius:n,souter_radius:a}=null!=i?i:this;for(const i of e){const e=r[i],u=t[i],o=n[i],_=a[i];if(isFinite(e+u+o+_)){if(s.beginPath(),h.is_ie)for(const i of[!1,!0])s.moveTo(e,u),s.arc(e,u,o,0,Math.PI,i),s.moveTo(e+_,u),s.arc(e,u,_,Math.PI,0,!i);else s.arc(e,u,o,0,2*Math.PI,!0),s.moveTo(e+_,u),s.arc(e,u,_,2*Math.PI,0,!1);this.visuals.fill.apply(s,i),this.visuals.hatch.apply(s,i),this.visuals.line.apply(s,i)}}}_hit_point(s){const{sx:e,sy:i}=s,r=this.renderer.xscale.invert(e),t=this.renderer.yscale.invert(i);let n,a,u,o;if(\"data\"==this.model.properties.outer_radius.units)n=r-this.max_outer_radius,u=r+this.max_outer_radius,a=t-this.max_outer_radius,o=t+this.max_outer_radius;else{const s=e-this.max_outer_radius,r=e+this.max_outer_radius;[n,u]=this.renderer.xscale.r_invert(s,r);const t=i-this.max_outer_radius,_=i+this.max_outer_radius;[a,o]=this.renderer.yscale.r_invert(t,_)}const _=[];for(const s of this.index.indices({x0:n,x1:u,y0:a,y1:o})){const e=this.souter_radius[s]**2,i=this.sinner_radius[s]**2,[n,a]=this.renderer.xscale.r_compute(r,this._x[s]),[u,o]=this.renderer.yscale.r_compute(t,this._y[s]),d=(n-a)**2+(u-o)**2;d<=e&&d>=i&&_.push(s)}return new c.Selection({indices:_})}draw_legend_for_index(s,{x0:e,y0:i,x1:r,y1:t},n){const a=n+1,u=new Array(a);u[n]=(e+r)/2;const o=new Array(a);o[n]=(i+t)/2;const _=.5*Math.min(Math.abs(r-e),Math.abs(t-i)),d=new Array(a);d[n]=.4*_;const h=new Array(a);h[n]=.8*_,this._render(s,[n],{sx:u,sy:o,sinner_radius:d,souter_radius:h})}}i.AnnulusView=l,l.__name__=\"AnnulusView\";class x extends u.XYGlyph{constructor(s){super(s)}}i.Annulus=x,a=x,x.__name__=\"Annulus\",a.prototype.default_view=l,a.mixins([_.LineVector,_.FillVector,_.HatchVector]),a.define((({})=>({inner_radius:[d.DistanceSpec,{field:\"inner_radius\"}],outer_radius:[d.DistanceSpec,{field:\"outer_radius\"}]})))},\n function _(e,i,s,t,n){t();const r=e(1);var a;const c=e(178),d=e(184),l=e(48),_=e(24),o=e(20),u=(0,r.__importStar)(e(18));class h extends c.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this.radius):this.sradius=(0,_.to_screen)(this.radius)}_render(e,i,s){if(this.visuals.line.doit){const{sx:t,sy:n,sradius:r,start_angle:a,end_angle:c}=null!=s?s:this,d=\"anticlock\"==this.model.direction;for(const s of i){const i=t[s],l=n[s],_=r[s],o=a.get(s),u=c.get(s);isFinite(i+l+_+o+u)&&(e.beginPath(),e.arc(i,l,_,o,u,d),this.visuals.line.set_vectorize(e,s),e.stroke())}}}draw_legend_for_index(e,i,s){(0,d.generic_line_vector_legend)(this.visuals,e,i,s)}}s.ArcView=h,h.__name__=\"ArcView\";class g extends c.XYGlyph{constructor(e){super(e)}}s.Arc=g,a=g,g.__name__=\"Arc\",a.prototype.default_view=h,a.mixins(l.LineVector),a.define((({})=>({direction:[o.Direction,\"anticlock\"],radius:[u.DistanceSpec,{field:\"radius\"}],start_angle:[u.AngleSpec,{field:\"start_angle\"}],end_angle:[u.AngleSpec,{field:\"end_angle\"}]})))},\n function _(e,t,i,n,s){n();const o=e(1);var c;const r=e(48),a=e(179),_=e(184),d=e(78),l=(0,o.__importStar)(e(18));function x(e,t,i,n,s,o,c,r){const a=[],_=[[],[]];for(let _=0;_<=2;_++){let d,l,x;if(0===_?(l=6*e-12*i+6*s,d=-3*e+9*i-9*s+3*c,x=3*i-3*e):(l=6*t-12*n+6*o,d=-3*t+9*n-9*o+3*r,x=3*n-3*t),Math.abs(d)<1e-12){if(Math.abs(l)<1e-12)continue;const e=-x/l;0({x0:[l.XCoordinateSpec,{field:\"x0\"}],y0:[l.YCoordinateSpec,{field:\"y0\"}],x1:[l.XCoordinateSpec,{field:\"x1\"}],y1:[l.YCoordinateSpec,{field:\"y1\"}],cx0:[l.XCoordinateSpec,{field:\"cx0\"}],cy0:[l.YCoordinateSpec,{field:\"cy0\"}],cx1:[l.XCoordinateSpec,{field:\"cx1\"}],cy1:[l.YCoordinateSpec,{field:\"cy1\"}]}))),c.mixins(r.LineVector)},\n function _(s,i,e,t,r){t();const a=s(1);var n;const h=s(178),d=s(48),l=s(24),_=s(20),c=(0,a.__importStar)(s(185)),u=(0,a.__importStar)(s(18)),o=s(9),x=s(12),m=s(72);class p extends h.XYGlyphView{async lazy_initialize(){await super.lazy_initialize();const{webgl:i}=this.renderer.plot_view.canvas_view;if(null!=i&&i.regl_wrapper.has_webgl){const{CircleGL:e}=await Promise.resolve().then((()=>(0,a.__importStar)(s(423))));this.glglyph=new e(i.regl_wrapper,this)}}get use_radius(){return!(this.radius.is_Scalar()&&isNaN(this.radius.value))}_set_data(s){super._set_data(s);const i=(()=>{if(this.use_radius)return 2*this.max_radius;{const{size:s}=this;return s.is_Scalar()?s.value:(0,x.max)(s.array)}})();this._configure(\"max_size\",{value:i})}_map_data(){if(this.use_radius)if(\"data\"==this.model.properties.radius.units)switch(this.model.radius_dimension){case\"x\":this.sradius=this.sdist(this.renderer.xscale,this._x,this.radius);break;case\"y\":this.sradius=this.sdist(this.renderer.yscale,this._y,this.radius);break;case\"max\":{const s=this.sdist(this.renderer.xscale,this._x,this.radius),i=this.sdist(this.renderer.yscale,this._y,this.radius);this.sradius=(0,x.map)(s,((s,e)=>Math.max(s,i[e])));break}case\"min\":{const s=this.sdist(this.renderer.xscale,this._x,this.radius),i=this.sdist(this.renderer.yscale,this._y,this.radius);this.sradius=(0,x.map)(s,((s,e)=>Math.min(s,i[e])));break}}else this.sradius=(0,l.to_screen)(this.radius);else{const s=l.ScreenArray.from(this.size);this.sradius=(0,x.map)(s,(s=>s/2))}}_mask_data(){const{frame:s}=this.renderer.plot_view,i=s.x_target,e=s.y_target;let t,r;return this.use_radius&&\"data\"==this.model.properties.radius.units?(t=i.map((s=>this.renderer.xscale.invert(s))).widen(this.max_radius),r=e.map((s=>this.renderer.yscale.invert(s))).widen(this.max_radius)):(t=i.widen(this.max_size).map((s=>this.renderer.xscale.invert(s))),r=e.widen(this.max_size).map((s=>this.renderer.yscale.invert(s)))),this.index.indices({x0:t.start,x1:t.end,y0:r.start,y1:r.end})}_render(s,i,e){const{sx:t,sy:r,sradius:a}=null!=e?e:this;for(const e of i){const i=t[e],n=r[e],h=a[e];isFinite(i+n+h)&&(s.beginPath(),s.arc(i,n,h,0,2*Math.PI,!1),this.visuals.fill.apply(s,e),this.visuals.hatch.apply(s,e),this.visuals.line.apply(s,e))}}_hit_point(s){const{sx:i,sy:e}=s,t=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(e),{hit_dilation:a}=this.model;let n,h,d,l;if(this.use_radius&&\"data\"==this.model.properties.radius.units)n=t-this.max_radius*a,h=t+this.max_radius*a,d=r-this.max_radius*a,l=r+this.max_radius*a;else{const s=i-this.max_size*a,t=i+this.max_size*a;[n,h]=this.renderer.xscale.r_invert(s,t);const r=e-this.max_size*a,_=e+this.max_size*a;[d,l]=this.renderer.yscale.r_invert(r,_)}const _=this.index.indices({x0:n,x1:h,y0:d,y1:l}),c=[];if(this.use_radius&&\"data\"==this.model.properties.radius.units)for(const s of _){const i=(this.sradius[s]*a)**2,[e,n]=this.renderer.xscale.r_compute(t,this._x[s]),[h,d]=this.renderer.yscale.r_compute(r,this._y[s]);(e-n)**2+(h-d)**2<=i&&c.push(s)}else for(const s of _){const t=(this.sradius[s]*a)**2;(this.sx[s]-i)**2+(this.sy[s]-e)**2<=t&&c.push(s)}return new m.Selection({indices:c})}_hit_span(s){const{sx:i,sy:e}=s,t=this.bounds();let r,a,n,h;if(\"h\"==s.direction){let s,e;if(n=t.y0,h=t.y1,this.use_radius&&\"data\"==this.model.properties.radius.units)s=i-this.max_radius,e=i+this.max_radius,[r,a]=this.renderer.xscale.r_invert(s,e);else{const t=this.max_size/2;s=i-t,e=i+t,[r,a]=this.renderer.xscale.r_invert(s,e)}}else{let s,i;if(r=t.x0,a=t.x1,this.use_radius&&\"data\"==this.model.properties.radius.units)s=e-this.max_radius,i=e+this.max_radius,[n,h]=this.renderer.yscale.r_invert(s,i);else{const t=this.max_size/2;s=e-t,i=e+t,[n,h]=this.renderer.yscale.r_invert(s,i)}}const d=[...this.index.indices({x0:r,x1:a,y0:n,y1:h})];return new m.Selection({indices:d})}_hit_rect(s){const{sx0:i,sx1:e,sy0:t,sy1:r}=s,[a,n]=this.renderer.xscale.r_invert(i,e),[h,d]=this.renderer.yscale.r_invert(t,r),l=[...this.index.indices({x0:a,x1:n,y0:h,y1:d})];return new m.Selection({indices:l})}_hit_poly(s){const{sx:i,sy:e}=s,t=(0,o.range)(0,this.sx.length),r=[];for(let s=0,a=t.length;s({angle:[u.AngleSpec,0],size:[u.ScreenSizeSpec,{value:4}],radius:[u.NullDistanceSpec,null],radius_dimension:[_.RadiusDimension,\"x\"],hit_dilation:[s,1]})))},\n function _(e,l,s,i,_){var p;i();const t=e(274);class a extends t.EllipseOvalView{}s.EllipseView=a,a.__name__=\"EllipseView\";class n extends t.EllipseOval{constructor(e){super(e)}}s.Ellipse=n,p=n,n.__name__=\"Ellipse\",p.prototype.default_view=a},\n function _(t,s,e,i,h){i();const n=t(1),r=t(275),a=(0,n.__importStar)(t(185)),l=t(24),_=t(72),o=(0,n.__importStar)(t(18));class d extends r.CenterRotatableView{_map_data(){\"data\"==this.model.properties.width.units?this.sw=this.sdist(this.renderer.xscale,this._x,this.width,\"center\"):this.sw=(0,l.to_screen)(this.width),\"data\"==this.model.properties.height.units?this.sh=this.sdist(this.renderer.yscale,this._y,this.height,\"center\"):this.sh=(0,l.to_screen)(this.height)}_render(t,s,e){const{sx:i,sy:h,sw:n,sh:r,angle:a}=null!=e?e:this;for(const e of s){const s=i[e],l=h[e],_=n[e],o=r[e],d=a.get(e);isFinite(s+l+_+o+d)&&(t.beginPath(),t.ellipse(s,l,_/2,o/2,d,0,2*Math.PI),this.visuals.fill.apply(t,e),this.visuals.hatch.apply(t,e),this.visuals.line.apply(t,e))}}_hit_point(t){let s,e,i,h,n,r,l,o,d;const{sx:c,sy:p}=t,w=this.renderer.xscale.invert(c),x=this.renderer.yscale.invert(p);\"data\"==this.model.properties.width.units?(s=w-this.max_width,e=w+this.max_width):(r=c-this.max_width,l=c+this.max_width,[s,e]=this.renderer.xscale.r_invert(r,l)),\"data\"==this.model.properties.height.units?(i=x-this.max_height,h=x+this.max_height):(o=p-this.max_height,d=p+this.max_height,[i,h]=this.renderer.yscale.r_invert(o,d));const m=this.index.indices({x0:s,x1:e,y0:i,y1:h}),y=[];for(const t of m)n=a.point_in_ellipse(c,p,this.angle.get(t),this.sh[t]/2,this.sw[t]/2,this.sx[t],this.sy[t]),n&&y.push(t);return new _.Selection({indices:y})}draw_legend_for_index(t,{x0:s,y0:e,x1:i,y1:h},n){const r=n+1,a=new Array(r);a[n]=(s+i)/2;const l=new Array(r);l[n]=(e+h)/2;const _=this.sw[n]/this.sh[n],d=.8*Math.min(Math.abs(i-s),Math.abs(h-e)),c=new Array(r),p=new Array(r);_>1?(c[n]=d,p[n]=d/_):(c[n]=d*_,p[n]=d);const w=new o.UniformScalar(0,r);this._render(t,[n],{sx:a,sy:l,sw:c,sh:p,angle:w})}}e.EllipseOvalView=d,d.__name__=\"EllipseOvalView\";class c extends r.CenterRotatable{constructor(t){super(t)}}e.EllipseOval=c,c.__name__=\"EllipseOval\"},\n function _(e,t,i,a,n){a();const s=e(1);var r;const h=e(178),o=e(48),_=(0,s.__importStar)(e(18));class c extends h.XYGlyphView{get max_w2(){return\"data\"==this.model.properties.width.units?this.max_width/2:0}get max_h2(){return\"data\"==this.model.properties.height.units?this.max_height/2:0}_bounds({x0:e,x1:t,y0:i,y1:a}){const{max_w2:n,max_h2:s}=this;return{x0:e-n,x1:t+n,y0:i-s,y1:a+s}}}i.CenterRotatableView=c,c.__name__=\"CenterRotatableView\";class l extends h.XYGlyph{constructor(e){super(e)}}i.CenterRotatable=l,r=l,l.__name__=\"CenterRotatable\",r.mixins([o.LineVector,o.FillVector,o.HatchVector]),r.define((({})=>({angle:[_.AngleSpec,0],width:[_.DistanceSpec,{field:\"width\"}],height:[_.DistanceSpec,{field:\"height\"}]})))},\n function _(t,e,s,i,r){i();const h=t(1);var a;const n=t(277),_=t(24),o=(0,h.__importStar)(t(18));class l extends n.BoxView{async lazy_initialize(){await super.lazy_initialize();const{webgl:e}=this.renderer.plot_view.canvas_view;if(null!=e&&e.regl_wrapper.has_webgl){const{LRTBGL:s}=await Promise.resolve().then((()=>(0,h.__importStar)(t(427))));this.glglyph=new s(e.regl_wrapper,this)}}scenterxy(t){return[(this.sleft[t]+this.sright[t])/2,this.sy[t]]}_lrtb(t){const e=this._left[t],s=this._right[t],i=this._y[t],r=this.height.get(t)/2;return[Math.min(e,s),Math.max(e,s),i+r,i-r]}_map_data(){this.sy=this.renderer.yscale.v_compute(this._y),this.sh=this.sdist(this.renderer.yscale,this._y,this.height,\"center\"),this.sleft=this.renderer.xscale.v_compute(this._left),this.sright=this.renderer.xscale.v_compute(this._right);const t=this.sy.length;this.stop=new _.ScreenArray(t),this.sbottom=new _.ScreenArray(t);for(let e=0;e({left:[o.XCoordinateSpec,{value:0}],y:[o.YCoordinateSpec,{field:\"y\"}],height:[o.NumberSpec,{value:1}],right:[o.XCoordinateSpec,{field:\"right\"}]})))},\n function _(t,e,s,r,i){var n;r();const a=t(48),h=t(179),o=t(184),c=t(72);class _ extends h.GlyphView{get_anchor_point(t,e,s){const r=Math.min(this.sleft[e],this.sright[e]),i=Math.max(this.sright[e],this.sleft[e]),n=Math.min(this.stop[e],this.sbottom[e]),a=Math.max(this.sbottom[e],this.stop[e]);switch(t){case\"top_left\":return{x:r,y:n};case\"top\":case\"top_center\":return{x:(r+i)/2,y:n};case\"top_right\":return{x:i,y:n};case\"bottom_left\":return{x:r,y:a};case\"bottom\":case\"bottom_center\":return{x:(r+i)/2,y:a};case\"bottom_right\":return{x:i,y:a};case\"left\":case\"center_left\":return{x:r,y:(n+a)/2};case\"center\":case\"center_center\":return{x:(r+i)/2,y:(n+a)/2};case\"right\":case\"center_right\":return{x:i,y:(n+a)/2}}}_index_data(t){const{min:e,max:s}=Math,{data_size:r}=this;for(let i=0;i(0,n.__importStar)(e(425))));this.glglyph=new s(t.regl_wrapper,this)}}scenterxy(e){return[this.sx[e],this.sy[e]]}_set_data(){const{orientation:e,size:t,aspect_scale:s}=this.model,{q:i,r}=this,n=this.q.length;this._x=new Float64Array(n),this._y=new Float64Array(n);const{_x:a,_y:l}=this,o=Math.sqrt(3);if(\"pointytop\"==e)for(let e=0;e({r:[c.NumberSpec,{field:\"r\"}],q:[c.NumberSpec,{field:\"q\"}],scale:[c.NumberSpec,1],size:[e,1],aspect_scale:[e,1],orientation:[_.HexTileOrientation,\"pointytop\"]}))),a.override({line_color:null})},\n function _(e,a,t,_,r){var n;_();const s=e(280),o=e(173),i=e(201);class p extends s.ImageBaseView{connect_signals(){super.connect_signals(),this.connect(this.model.color_mapper.change,(()=>this._update_image()))}_update_image(){null!=this.image_data&&(this._set_data(null),this.renderer.request_render())}_flat_img_to_buf8(e){return this.model.color_mapper.rgba_mapper.v_compute(e)}}t.ImageView=p,p.__name__=\"ImageView\";class m extends s.ImageBase{constructor(e){super(e)}}t.Image=m,n=m,m.__name__=\"Image\",n.prototype.default_view=p,n.define((({Ref:e})=>({color_mapper:[e(o.ColorMapper),()=>new i.LinearColorMapper({palette:[\"#000000\",\"#252525\",\"#525252\",\"#737373\",\"#969696\",\"#bdbdbd\",\"#d9d9d9\",\"#f0f0f0\",\"#ffffff\"]})]})))},\n function _(e,t,i,s,a){s();const h=e(1);var n;const r=e(178),_=e(24),d=(0,h.__importStar)(e(18)),l=e(72),g=e(9),o=e(29),c=e(11);class m extends r.XYGlyphView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.global_alpha.change,(()=>this.renderer.request_render()))}_render(e,t,i){const{image_data:s,sx:a,sy:h,sw:n,sh:r,global_alpha:_}=null!=i?i:this,d=e.getImageSmoothingEnabled();e.setImageSmoothingEnabled(!1);const l=_.is_Scalar();l&&(e.globalAlpha=_.value);for(const i of t){const t=s[i],_=a[i],d=h[i],g=n[i],o=r[i],c=this.global_alpha.get(i);if(null==t||!isFinite(_+d+g+o+c))continue;l||(e.globalAlpha=c);const m=d;e.translate(0,m),e.scale(1,-1),e.translate(0,-m),e.drawImage(t,0|_,0|d,g,o),e.translate(0,m),e.scale(1,-1),e.translate(0,-m)}e.setImageSmoothingEnabled(d)}_set_data(e){this._set_width_heigh_data();for(let t=0,i=this.image.length;t({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,i,o,r){o();const s=t(1);var a;const n=t(277),l=(0,s.__importStar)(t(18));class _ extends n.BoxView{async lazy_initialize(){await super.lazy_initialize();const{webgl:e}=this.renderer.plot_view.canvas_view;if(null!=e&&e.regl_wrapper.has_webgl){const{LRTBGL:i}=await Promise.resolve().then((()=>(0,s.__importStar)(t(427))));this.glglyph=new i(e.regl_wrapper,this)}}scenterxy(t){return[this.sleft[t]/2+this.sright[t]/2,this.stop[t]/2+this.sbottom[t]/2]}_lrtb(t){return[this._left[t],this._right[t],this._top[t],this._bottom[t]]}}i.QuadView=_,_.__name__=\"QuadView\";class p extends n.Box{constructor(t){super(t)}}i.Quad=p,a=p,p.__name__=\"Quad\",a.prototype.default_view=_,a.define((({})=>({right:[l.XCoordinateSpec,{field:\"right\"}],bottom:[l.YCoordinateSpec,{field:\"bottom\"}],left:[l.XCoordinateSpec,{field:\"left\"}],top:[l.YCoordinateSpec,{field:\"top\"}]})))},\n function _(e,t,i,n,s){n();const c=e(1);var o;const r=e(48),a=e(78),_=e(179),d=e(184),l=(0,c.__importStar)(e(18));function x(e,t,i){if(t==(e+i)/2)return[e,i];{const n=(e-t)/(e-2*t+i),s=e*(1-n)**2+2*t*(1-n)*n+i*n**2;return[Math.min(e,i,s),Math.max(e,i,s)]}}class y extends _.GlyphView{_project_data(){a.inplace.project_xy(this._x0,this._y0),a.inplace.project_xy(this._x1,this._y1)}_index_data(e){const{_x0:t,_x1:i,_y0:n,_y1:s,_cx:c,_cy:o,data_size:r}=this;for(let a=0;a({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(429))));this.glglyph=new s(e.regl_wrapper,this)}}_map_data(){if(\"data\"==this.model.properties.width.units)[this.sw,this.sx0]=this._map_dist_corner_for_data_side_length(this._x,this.width,this.renderer.xscale);else{this.sw=(0,_.to_screen)(this.width);const t=this.sx.length;this.sx0=new _.ScreenArray(t);for(let e=0;e({dilate:[t,!1]})))},\n function _(e,t,r,a,s){a();const i=e(1);var n;const l=e(292),_=e(293),c=(0,i.__importStar)(e(18));class o extends l.MarkerView{async lazy_initialize(){await super.lazy_initialize();const{webgl:t}=this.renderer.plot_view.canvas_view;if(null!=t&&t.regl_wrapper.has_webgl){const{MultiMarkerGL:r}=await Promise.resolve().then((()=>(0,i.__importStar)(e(428))));this.glglyph=new r(t.regl_wrapper,this)}}_render(e,t,r){const{sx:a,sy:s,size:i,angle:n,marker:l}=null!=r?r:this;for(const r of t){const t=a[r],c=s[r],o=i.get(r),g=n.get(r),w=l.get(r);if(!isFinite(t+c+o+g)||null==w)continue;const p=o/2;e.beginPath(),e.translate(t,c),g&&e.rotate(g),_.marker_funcs[w](e,r,p,this.visuals),g&&e.rotate(-g),e.translate(-t,-c)}}draw_legend_for_index(e,{x0:t,x1:r,y0:a,y1:s},i){const n=i+1,l=this.marker.get(i),_=Object.assign(Object.assign({},this._get_legend_args({x0:t,x1:r,y0:a,y1:s},i)),{marker:new c.UniformScalar(l,n)});this._render(e,[i],_)}}r.ScatterView=o,o.__name__=\"ScatterView\";class g extends l.Marker{constructor(e){super(e)}}r.Scatter=g,n=g,g.__name__=\"Scatter\",n.prototype.default_view=o,n.define((()=>({marker:[c.MarkerSpec,{value:\"circle\"}]})))},\n function _(e,t,s,n,i){n();const r=e(1);var a;const c=e(178),o=e(48),_=(0,r.__importStar)(e(185)),h=(0,r.__importStar)(e(18)),l=e(9),x=e(72);class d extends c.XYGlyphView{_render(e,t,s){const{sx:n,sy:i,size:r,angle:a}=null!=s?s:this;for(const s of t){const t=n[s],c=i[s],o=r.get(s),_=a.get(s);if(!isFinite(t+c+o+_))continue;const h=o/2;e.beginPath(),e.translate(t,c),_&&e.rotate(_),this._render_one(e,s,h,this.visuals),_&&e.rotate(-_),e.translate(-t,-c)}}_mask_data(){const{x_target:e,y_target:t}=this.renderer.plot_view.frame,s=e.widen(this.max_size).map((e=>this.renderer.xscale.invert(e))),n=t.widen(this.max_size).map((e=>this.renderer.yscale.invert(e)));return this.index.indices({x0:s.start,x1:s.end,y0:n.start,y1:n.end})}_hit_point(e){const{sx:t,sy:s}=e,{max_size:n}=this,{hit_dilation:i}=this.model,r=t-n*i,a=t+n*i,[c,o]=this.renderer.xscale.r_invert(r,a),_=s-n*i,h=s+n*i,[l,d]=this.renderer.yscale.r_invert(_,h),y=this.index.indices({x0:c,x1:o,y0:l,y1:d}),g=[];for(const e of y){const n=this.size.get(e)/2*i;Math.abs(this.sx[e]-t)<=n&&Math.abs(this.sy[e]-s)<=n&&g.push(e)}return new x.Selection({indices:g})}_hit_span(e){const{sx:t,sy:s}=e,n=this.bounds(),i=this.max_size/2;let r,a,c,o;if(\"h\"==e.direction){c=n.y0,o=n.y1;const e=t-i,s=t+i;[r,a]=this.renderer.xscale.r_invert(e,s)}else{r=n.x0,a=n.x1;const e=s-i,t=s+i;[c,o]=this.renderer.yscale.r_invert(e,t)}const _=[...this.index.indices({x0:r,x1:a,y0:c,y1:o})];return new x.Selection({indices:_})}_hit_rect(e){const{sx0:t,sx1:s,sy0:n,sy1:i}=e,[r,a]=this.renderer.xscale.r_invert(t,s),[c,o]=this.renderer.yscale.r_invert(n,i),_=[...this.index.indices({x0:r,x1:a,y0:c,y1:o})];return new x.Selection({indices:_})}_hit_poly(e){const{sx:t,sy:s}=e,n=(0,l.range)(0,this.sx.length),i=[];for(let e=0,r=n.length;e({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,e,s,i,r){i();const h=t(1);var o;const a=t(277),n=t(24),_=(0,h.__importStar)(t(18));class l extends a.BoxView{async lazy_initialize(){await super.lazy_initialize();const{webgl:e}=this.renderer.plot_view.canvas_view;if(null!=e&&e.regl_wrapper.has_webgl){const{LRTBGL:s}=await Promise.resolve().then((()=>(0,h.__importStar)(t(427))));this.glglyph=new s(e.regl_wrapper,this)}}scenterxy(t){return[this.sx[t],(this.stop[t]+this.sbottom[t])/2]}_lrtb(t){const e=this.width.get(t)/2,s=this._x[t],i=this._top[t],r=this._bottom[t];return[s-e,s+e,Math.max(i,r),Math.min(i,r)]}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sw=this.sdist(this.renderer.xscale,this._x,this.width,\"center\"),this.stop=this.renderer.yscale.v_compute(this._top),this.sbottom=this.renderer.yscale.v_compute(this._bottom);const t=this.sx.length;this.sleft=new n.ScreenArray(t),this.sright=new n.ScreenArray(t);for(let e=0;e({x:[_.XCoordinateSpec,{field:\"x\"}],bottom:[_.YCoordinateSpec,{value:0}],width:[_.NumberSpec,{value:1}],top:[_.YCoordinateSpec,{field:\"top\"}]})))},\n function _(e,s,t,i,n){i();const r=e(1);var a;const c=e(178),d=e(184),l=e(48),h=e(24),o=e(20),_=(0,r.__importStar)(e(18)),u=e(10),g=e(72),x=e(12);class p extends c.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this.radius):this.sradius=(0,h.to_screen)(this.radius),this.max_sradius=(0,x.max)(this.sradius)}_render(e,s,t){const{sx:i,sy:n,sradius:r,start_angle:a,end_angle:c}=null!=t?t:this,d=\"anticlock\"==this.model.direction;for(const t of s){const s=i[t],l=n[t],h=r[t],o=a.get(t),_=c.get(t);isFinite(s+l+h+o+_)&&(e.beginPath(),e.arc(s,l,h,o,_,d),e.lineTo(s,l),e.closePath(),this.visuals.fill.apply(e,t),this.visuals.hatch.apply(e,t),this.visuals.line.apply(e,t))}}_hit_point(e){let s,t,i,n,r;const{sx:a,sy:c}=e,d=this.renderer.xscale.invert(a),l=this.renderer.yscale.invert(c);t=a-this.max_sradius,i=a+this.max_sradius;const[h,o]=this.renderer.xscale.r_invert(t,i);n=c-this.max_sradius,r=c+this.max_sradius;const[_,x]=this.renderer.yscale.r_invert(n,r),p=[];for(const e of this.index.indices({x0:h,x1:o,y0:_,y1:x})){const a=this.sradius[e]**2;[t,i]=this.renderer.xscale.r_compute(d,this._x[e]),[n,r]=this.renderer.yscale.r_compute(l,this._y[e]),s=(t-i)**2+(n-r)**2,s<=a&&p.push(e)}const y=\"anticlock\"==this.model.direction,m=[];for(const e of p){const s=Math.atan2(c-this.sy[e],a-this.sx[e]);(0,u.angle_between)(-s,-this.start_angle.get(e),-this.end_angle.get(e),y)&&m.push(e)}return new g.Selection({indices:m})}draw_legend_for_index(e,s,t){(0,d.generic_area_vector_legend)(this.visuals,e,s,t)}scenterxy(e){const s=this.sradius[e]/2,t=(this.start_angle.get(e)+this.end_angle.get(e))/2;return[this.sx[e]+s*Math.cos(t),this.sy[e]+s*Math.sin(t)]}}t.WedgeView=p,p.__name__=\"WedgeView\";class y extends c.XYGlyph{constructor(e){super(e)}}t.Wedge=y,a=y,y.__name__=\"Wedge\",a.prototype.default_view=p,a.mixins([l.LineVector,l.FillVector,l.HatchVector]),a.define((({})=>({direction:[o.Direction,\"anticlock\"],radius:[_.DistanceSpec,{field:\"radius\"}],start_angle:[_.AngleSpec,{field:\"start_angle\"}],end_angle:[_.AngleSpec,{field:\"end_angle\"}]})))},\n function _(t,_,r,o,a){o();const e=t(1);(0,e.__exportStar)(t(302),r),(0,e.__exportStar)(t(303),r),(0,e.__exportStar)(t(304),r)},\n function _(e,t,d,n,s){n();const o=e(53),r=e(12),_=e(9),i=e(72);class c extends o.Model{constructor(e){super(e)}_hit_test(e,t,d){if(!t.model.visible)return null;const n=d.glyph.hit_test(e);return null==n?null:d.model.view.convert_selection_from_subset(n)}}d.GraphHitTestPolicy=c,c.__name__=\"GraphHitTestPolicy\";class a extends c{constructor(e){super(e)}hit_test(e,t){return this._hit_test(e,t,t.edge_view)}do_selection(e,t,d,n){if(null==e)return!1;const s=t.edge_renderer.data_source.selected;return s.update(e,d,n),t.edge_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,d,n,s){if(null==e)return!1;const{edge_renderer:o}=d.model,r=o.get_selection_manager().get_or_create_inspector(d.edge_view.model);return r.update(e,n,s),d.edge_view.model.data_source.setv({inspected:r},{silent:!0}),d.edge_view.model.data_source.inspect.emit([d.edge_view.model,{geometry:t}]),!r.is_empty()}}d.EdgesOnly=a,a.__name__=\"EdgesOnly\";class l extends c{constructor(e){super(e)}hit_test(e,t){return this._hit_test(e,t,t.node_view)}do_selection(e,t,d,n){if(null==e)return!1;const s=t.node_renderer.data_source.selected;return s.update(e,d,n),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,d,n,s){if(null==e)return!1;const{node_renderer:o}=d.model,r=o.get_selection_manager().get_or_create_inspector(d.node_view.model);return r.update(e,n,s),d.node_view.model.data_source.setv({inspected:r},{silent:!0}),d.node_view.model.data_source.inspect.emit([d.node_view.model,{geometry:t}]),!r.is_empty()}}d.NodesOnly=l,l.__name__=\"NodesOnly\";class u extends c{constructor(e){super(e)}hit_test(e,t){return this._hit_test(e,t,t.node_view)}get_linked_edges(e,t,d){let n=[];\"selection\"==d?n=e.selected.indices.map((t=>e.data.index[t])):\"inspection\"==d&&(n=e.inspected.indices.map((t=>e.data.index[t])));const s=[];for(let e=0;e(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 r=0;ro*(e[t]-e[r]))),this._x_sorted=new((0,h.infer_type)(e))(n),this._y_sorted=new((0,h.infer_type)(r))(n);for(let t=0;t({x:[o(r,s(e))],y:[o(r,s(e))],data:[i(n(a.ColumnarDataSource)),null],clip:[t,!0]})))},\n function _(t,s,e,i,r){i();const n=t(1);var o;const a=t(324),u=t(67),h=t(20),c=t(8),m=t(12),f=(0,n.__importStar)(t(10)),_=t(11);class p extends a.RangeTransform{constructor(t){super(t)}v_compute(t){var s;let e;this.range instanceof u.FactorRange?e=this.range.v_synthetic(t):(0,c.isArrayableOf)(t,c.isNumber)?e=t:(0,_.unreachable)();const i=e.length;(null===(s=this.previous_offsets)||void 0===s?void 0:s.length)!=i&&(this.previous_offsets=new Array(i),this.previous_offsets=(0,m.map)(this.previous_offsets,(()=>this._compute())));const r=this.previous_offsets;return(0,m.map)(e,((t,s)=>r[s]+t))}_compute(){switch(this.distribution){case\"uniform\":return this.mean+(f.random()-.5)*this.width;case\"normal\":return f.rnorm(this.mean,this.width)}}}e.Jitter=p,o=p,p.__name__=\"Jitter\",o.define((({Number:t})=>({mean:[t,0],width:[t,1],distribution:[h.Distribution,\"uniform\"]})))},\n function _(t,s,_,r,e){r();const i=t(9),o=t(325);class n extends o.Interpolator{constructor(t){super(t)}compute(t){if(this.sort(!1),this.clip){if(tthis._x_sorted[this._x_sorted.length-1])return NaN}else{if(tthis._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}if(t==this._x_sorted[0])return this._y_sorted[0];const s=(0,i.find_last_index)(this._x_sorted,(s=>sthis._x_sorted[this._x_sorted.length-1])return NaN}else{if(tthis._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}let e;switch(this.mode){case\"after\":e=(0,d.find_last_index)(this._x_sorted,(e=>t>=e));break;case\"before\":e=(0,d.find_index)(this._x_sorted,(e=>t<=e));break;case\"center\":{const s=(0,d.map)(this._x_sorted,(e=>Math.abs(e-t))),r=(0,d.min)(s);e=(0,d.find_index)(s,(t=>r===t));break}default:throw new Error(`unknown mode: ${this.mode}`)}return-1!=e?this._y_sorted[e]:NaN}}s.StepInterpolator=h,_=h,h.__name__=\"StepInterpolator\",_.define((()=>({mode:[n.StepMode,\"after\"]})))},\n function _(p,o,t,a,n){a(),n(\"MapOptions\",p(330).MapOptions),n(\"GMapOptions\",p(330).GMapOptions),n(\"GMapPlot\",p(330).GMapPlot),n(\"Plot\",p(331).Plot)},\n function _(e,t,n,o,a){var s,p,_;o();const i=e(331),r=e(53),l=e(58),c=e(336);a(\"GMapPlotView\",c.GMapPlotView);class d extends r.Model{constructor(e){super(e)}}n.MapOptions=d,s=d,d.__name__=\"MapOptions\",s.define((({Int:e,Number:t})=>({lat:[t],lng:[t],zoom:[e,12]})));class u extends d{constructor(e){super(e)}}n.GMapOptions=u,p=u,u.__name__=\"GMapOptions\",p.define((({Boolean:e,Int:t,String:n})=>({map_type:[n,\"roadmap\"],scale_control:[e,!1],styles:[n],tilt:[t,45]})));class M extends i.Plot{constructor(e){super(e),this.use_map=!0}}n.GMapPlot=M,_=M,M.__name__=\"GMapPlot\",_.prototype.default_view=c.GMapPlotView,_.define((({String:e,Ref:t})=>({map_options:[t(u)],api_key:[e],api_version:[e,\"weekly\"]}))),_.override({x_range:()=>new l.Range1d,y_range:()=>new l.Range1d})},\n function _(e,t,r,n,i){n();const o=e(1);var a;const s=(0,o.__importStar)(e(48)),l=(0,o.__importStar)(e(18)),_=e(15),c=e(20),h=e(9),d=e(13),u=e(8),g=e(309),p=e(128),f=e(306),b=e(40),w=e(118),y=e(59),m=e(221),x=e(57),v=e(55),A=e(75),S=e(41),R=e(176),D=e(175),L=e(63),P=e(332);i(\"PlotView\",P.PlotView);class k extends g.LayoutDOM{constructor(e){super(e),this.use_map=!1}_doc_attached(){super._doc_attached(),this._push_changes([[this.properties.inner_height,null,this.inner_height],[this.properties.inner_width,null,this.inner_width]])}initialize(){super.initialize(),this.reset=new _.Signal0(this,\"reset\");for(const e of(0,d.values)(this.extra_x_ranges).concat(this.x_range)){let t=e.plots;(0,u.isArray)(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}for(const e of(0,d.values)(this.extra_y_ranges).concat(this.y_range)){let t=e.plots;(0,u.isArray)(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}}add_layout(e,t=\"center\"){const r=this.properties[t].get_value();this.setv({[t]:[...r,e]})}remove_layout(e){const t=t=>{(0,h.remove_by)(t,(t=>t==e))};t(this.left),t(this.right),t(this.above),t(this.below),t(this.center)}get data_renderers(){return this.renderers.filter((e=>e instanceof R.DataRenderer))}add_renderers(...e){this.renderers=this.renderers.concat(e)}add_glyph(e,t=new A.ColumnDataSource,r={}){const n=new D.GlyphRenderer(Object.assign(Object.assign({},r),{data_source:t,glyph:e}));return this.add_renderers(n),n}add_tools(...e){this.toolbar.tools=this.toolbar.tools.concat(e)}get panels(){return[...this.side_panels,...this.center]}get side_panels(){const{above:e,below:t,left:r,right:n}=this;return(0,h.concat)([e,t,r,n])}}r.Plot=k,a=k,k.__name__=\"Plot\",a.prototype.default_view=P.PlotView,a.mixins([[\"outline_\",s.Line],[\"background_\",s.Fill],[\"border_\",s.Fill]]),a.define((({Boolean:e,Number:t,String:r,Array:n,Dict:i,Or:o,Ref:a,Null:s,Nullable:_})=>({toolbar:[a(m.Toolbar),()=>new m.Toolbar],toolbar_location:[_(c.Location),\"right\"],toolbar_sticky:[e,!0],plot_width:[l.Alias(\"width\")],plot_height:[l.Alias(\"height\")],frame_width:[_(t),null],frame_height:[_(t),null],title:[o(a(w.Title),r,s),\"\",{convert:e=>(0,u.isString)(e)?new w.Title({text:e}):e}],title_location:[_(c.Location),\"above\"],above:[n(o(a(b.Annotation),a(p.Axis))),[]],below:[n(o(a(b.Annotation),a(p.Axis))),[]],left:[n(o(a(b.Annotation),a(p.Axis))),[]],right:[n(o(a(b.Annotation),a(p.Axis))),[]],center:[n(o(a(b.Annotation),a(f.Grid))),[]],renderers:[n(a(S.Renderer)),[]],x_range:[a(x.Range),()=>new L.DataRange1d],y_range:[a(x.Range),()=>new L.DataRange1d],x_scale:[a(v.Scale),()=>new y.LinearScale],y_scale:[a(v.Scale),()=>new y.LinearScale],extra_x_ranges:[i(a(x.Range)),{}],extra_y_ranges:[i(a(x.Range)),{}],extra_x_scales:[i(a(v.Scale)),{}],extra_y_scales:[i(a(v.Scale)),{}],lod_factor:[t,10],lod_interval:[t,300],lod_threshold:[_(t),2e3],lod_timeout:[t,500],hidpi:[e,!0],output_backend:[c.OutputBackend,\"canvas\"],min_border:[_(t),5],min_border_top:[_(t),null],min_border_left:[_(t),null],min_border_bottom:[_(t),null],min_border_right:[_(t),null],inner_width:[t,0],inner_height:[t,0],outer_width:[t,0],outer_height:[t,0],match_aspect:[e,!1],aspect_scale:[t,1],reset_policy:[c.ResetPolicy,\"standard\"]}))),a.override({width:600,height:600,outline_line_color:\"#e5e5e5\",border_fill_color:\"#ffffff\",background_fill_color:\"#ffffff\"})},\n function _(e,t,i,s,a){s();const n=e(1),o=e(126),l=e(249),r=e(309),_=e(40),h=e(118),d=e(128),u=e(220),c=e(251),p=e(113),v=e(45),g=e(19),b=e(251),m=e(333),y=e(8),w=e(9),f=e(235),x=e(208),z=e(211),k=e(209),q=e(123),M=e(65),R=e(334),V=e(335),S=e(28);class O extends r.LayoutDOMView{constructor(){super(...arguments),this._outer_bbox=new M.BBox,this._inner_bbox=new M.BBox,this._needs_paint=!0,this._needs_layout=!1,this._invalidated_painters=new Set,this._invalidate_all=!0,this._needs_notify=!1}get canvas(){return this.canvas_view}get state(){return this._state_manager}set invalidate_dataranges(e){this._range_manager.invalidate_dataranges=e}renderer_view(e){const t=this.renderer_views.get(e);if(null==t)for(const[,t]of this.renderer_views){const i=t.renderer_view(e);if(null!=i)return i}return t}get is_paused(){return null!=this._is_paused&&0!==this._is_paused}get child_models(){return[]}pause(){null==this._is_paused?this._is_paused=1:this._is_paused+=1}unpause(e=!1){if(null==this._is_paused)throw new Error(\"wasn't paused\");this._is_paused-=1,0!=this._is_paused||e||this.request_paint(\"everything\")}notify_finished_after_paint(){this._needs_notify=!0}request_render(){this.request_paint(\"everything\")}request_paint(e){this.invalidate_painters(e),this.schedule_paint()}invalidate_painters(e){if(\"everything\"==e)this._invalidate_all=!0;else if((0,y.isArray)(e))for(const t of e)this._invalidated_painters.add(t);else this._invalidated_painters.add(e)}schedule_paint(){if(!this.is_paused){const e=this.throttled_paint();this._ready=this._ready.then((()=>e))}}request_layout(){this._needs_layout=!0,this.request_paint(\"everything\")}reset(){\"standard\"==this.model.reset_policy&&(this.state.clear(),this.reset_range(),this.reset_selection()),this.model.trigger_event(new c.Reset)}remove(){(0,p.remove_views)(this.renderer_views),(0,p.remove_views)(this.tool_views),this.canvas_view.remove(),super.remove()}render(){super.render(),this.el.appendChild(this.canvas_view.el),this.canvas_view.render()}initialize(){this.pause(),super.initialize(),this.lod_started=!1,this.visuals=new v.Visuals(this),this._initial_state={selection:new Map,dimensions:{width:0,height:0}},this.visibility_callbacks=[],this.renderer_views=new Map,this.tool_views=new Map,this.frame=new o.CartesianFrame(this.model.x_scale,this.model.y_scale,this.model.x_range,this.model.y_range,this.model.extra_x_ranges,this.model.extra_y_ranges,this.model.extra_x_scales,this.model.extra_y_scales),this._range_manager=new R.RangeManager(this),this._state_manager=new V.StateManager(this,this._initial_state),this.throttled_paint=(0,m.throttle)((()=>this.repaint()),1e3/60);const{title_location:e,title:t}=this.model;null!=e&&null!=t&&(this._title=t instanceof h.Title?t:new h.Title({text:t}));const{toolbar_location:i,toolbar:s}=this.model;null!=i&&null!=s&&(this._toolbar=new u.ToolbarPanel({toolbar:s}),s.toolbar_location=i)}async lazy_initialize(){await super.lazy_initialize();const{hidpi:e,output_backend:t}=this.model,i=new l.Canvas({hidpi:e,output_backend:t});this.canvas_view=await(0,p.build_view)(i,{parent:this}),this.canvas_view.plot_views=[this],await this.build_renderer_views(),await this.build_tool_views(),this._range_manager.update_dataranges(),this.unpause(!0),g.logger.debug(\"PlotView initialized\")}_width_policy(){return null==this.model.frame_width?super._width_policy():\"min\"}_height_policy(){return null==this.model.frame_height?super._height_policy():\"min\"}_update_layout(){var e,t,i,s,a;this.layout=new z.BorderLayout,this.layout.set_sizing(this.box_sizing());const n=(0,w.copy)(this.model.above),o=(0,w.copy)(this.model.below),l=(0,w.copy)(this.model.left),r=(0,w.copy)(this.model.right),d=e=>{switch(e){case\"above\":return n;case\"below\":return o;case\"left\":return l;case\"right\":return r}},{title_location:c,title:p}=this.model;null!=c&&null!=p&&d(c).push(this._title);const{toolbar_location:v,toolbar:g}=this.model;if(null!=v&&null!=g){const e=d(v);let t=!0;if(this.model.toolbar_sticky)for(let i=0;i{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)}null!=this.compute_initial()&&(this.invalidate_dataranges=!1)}compute_initial(){let t=!0;const{x_ranges:n,y_ranges:e}=this.frame,a=new Map,s=new Map;for(const[e,s]of n){const{start:n,end:o}=s;if(null==n||null==o||isNaN(n+o)){t=!1;break}a.set(e,{start:n,end:o})}if(t)for(const[n,a]of e){const{start:e,end:o}=a;if(null==e||null==o||isNaN(e+o)){t=!1;break}s.set(n,{start:e,end:o})}return t?{xrs:a,yrs:s}:(r.logger.warn(\"could not set initial ranges\"),null)}_update_ranges_together(t){let n=1;for(const[e,a]of t)n=Math.min(n,this._get_weight_to_constrain_interval(e,a));if(n<1)for(const[e,a]of t)a.start=n*a.start+(1-n)*e.start,a.end=n*a.end+(1-n)*e.end}_update_ranges_individually(t,n){const e=!!(null==n?void 0:n.panning),a=!!(null==n?void 0:n.scrolling);let s=!1;for(const[n,o]of t){if(!a){const t=this._get_weight_to_constrain_interval(n,o);t<1&&(o.start=t*o.start+(1-t)*n.start,o.end=t*o.end+(1-t)*n.end)}if(null!=n.bounds&&\"auto\"!=n.bounds){const[t,r]=n.bounds,l=Math.abs(o.end-o.start);n.is_reversed?(null!=t&&t>o.end&&(s=!0,o.end=t,(e||a)&&(o.start=t+l)),null!=r&&ro.start&&(s=!0,o.start=t,(e||a)&&(o.end=t+l)),null!=r&&r0&&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 o;n();const s=e(176),d=e(175),a=e(303),p=e(302),l=e(113),_=e(178),h=e(283),y=e(286);class c extends s.DataRendererView{get glyph_view(){return this.node_view.glyph}async lazy_initialize(){await super.lazy_initialize(),this.apply_coordinates();const{parent:e}=this,{edge_renderer:r,node_renderer:i}=this.model;this.edge_view=await(0,l.build_view)(r,{parent:e}),this.node_view=await(0,l.build_view)(i,{parent:e})}connect_signals(){super.connect_signals(),this.connect(this.model.layout_provider.change,(()=>{this.apply_coordinates(),this.edge_view.set_data(),this.node_view.set_data(),this.request_render()}))}apply_coordinates(){const{edge_renderer:e,node_renderer:r}=this.model;if(!(e.glyph instanceof h.MultiLine||e.glyph instanceof y.Patches))throw new Error(`${this}.edge_renderer.glyph must be a MultiLine glyph`);if(!(r.glyph instanceof _.XYGlyph))throw new Error(`${this}.node_renderer.glyph must be a XYGlyph glyph`);const i=this.model.layout_provider.edge_coordinates,n=this.model.layout_provider.node_coordinates;e.glyph.properties.xs.internal=!0,e.glyph.properties.ys.internal=!0,r.glyph.properties.x.internal=!0,r.glyph.properties.y.internal=!0,e.glyph.xs={expr:i.x},e.glyph.ys={expr:i.y},r.glyph.x={expr:n.x},r.glyph.y={expr:n.y}}remove(){this.edge_view.remove(),this.node_view.remove(),super.remove()}_render(){this.edge_view.render(),this.node_view.render()}renderer_view(e){if(e instanceof d.GlyphRenderer){if(e==this.edge_view.model)return this.edge_view;if(e==this.node_view.model)return this.node_view}return super.renderer_view(e)}}i.GraphRendererView=c,c.__name__=\"GraphRendererView\";class g extends s.DataRenderer{constructor(e){super(e)}get_selection_manager(){return this.node_renderer.data_source.selection_manager}}i.GraphRenderer=g,o=g,g.__name__=\"GraphRenderer\",o.prototype.default_view=c,o.define((({Ref:e})=>({layout_provider:[e(a.LayoutProvider)],node_renderer:[e(d.GlyphRenderer)],edge_renderer:[e(d.GlyphRenderer)],selection_policy:[e(p.GraphHitTestPolicy),()=>new p.NodesOnly],inspection_policy:[e(p.GraphHitTestPolicy),()=>new p.NodesOnly]})))},\n function _(e,t,n,o,c){o();(0,e(1).__exportStar)(e(74),n),c(\"Selection\",e(72).Selection)},\n function _(a,e,S,o,r){o(),r(\"ServerSentDataSource\",a(342).ServerSentDataSource),r(\"AjaxDataSource\",a(344).AjaxDataSource),r(\"ColumnDataSource\",a(75).ColumnDataSource),r(\"ColumnarDataSource\",a(70).ColumnarDataSource),r(\"CDSView\",a(190).CDSView),r(\"DataSource\",a(71).DataSource),r(\"GeoJSONDataSource\",a(345).GeoJSONDataSource),r(\"WebDataSource\",a(343).WebDataSource)},\n function _(e,t,i,a,s){a();const n=e(343);class r extends n.WebDataSource{constructor(e){super(e),this.initialized=!1}setup(){if(!this.initialized){this.initialized=!0;new EventSource(this.data_url).onmessage=e=>{var t;this.load_data(JSON.parse(e.data),this.mode,null!==(t=this.max_size)&&void 0!==t?t:void 0)}}}}i.ServerSentDataSource=r,r.__name__=\"ServerSentDataSource\"},\n function _(e,t,a,n,r){var s;n();const l=e(75),o=e(20);class c extends l.ColumnDataSource{constructor(e){super(e)}get_column(e){const t=this.data[e];return null!=t?t:[]}get_length(){var e;return null!==(e=super.get_length())&&void 0!==e?e:0}initialize(){super.initialize(),this.setup()}load_data(e,t,a){const{adapter:n}=this;let r;switch(r=null!=n?n.execute(this,{response:e}):e,t){case\"replace\":this.data=r;break;case\"append\":{const e=this.data;for(const t of this.columns()){const n=Array.from(e[t]),s=Array.from(r[t]),l=n.concat(s);r[t]=null!=a?l.slice(-a):l}this.data=r;break}}}}a.WebDataSource=c,s=c,c.__name__=\"WebDataSource\",s.define((({Any:e,Int:t,String:a,Nullable:n})=>({max_size:[n(t),null],mode:[o.UpdateMode,\"replace\"],adapter:[n(e),null],data_url:[a]})))},\n function _(t,e,i,s,a){var n;s();const r=t(343),o=t(20),l=t(19),d=t(13);class h extends r.WebDataSource{constructor(t){super(t),this.interval=null,this.initialized=!1}destroy(){null!=this.interval&&clearInterval(this.interval),super.destroy()}setup(){if(!this.initialized&&(this.initialized=!0,this.get_data(this.mode),null!=this.polling_interval)){const t=()=>this.get_data(this.mode,this.max_size,this.if_modified);this.interval=setInterval(t,this.polling_interval)}}get_data(t,e=null,i=!1){const s=this.prepare_request();s.addEventListener(\"load\",(()=>this.do_load(s,t,null!=e?e:void 0))),s.addEventListener(\"error\",(()=>this.do_error(s))),s.send()}prepare_request(){const t=new XMLHttpRequest;t.open(this.method,this.data_url,!0),t.withCredentials=!1,t.setRequestHeader(\"Content-Type\",this.content_type);const e=this.http_headers;for(const[i,s]of(0,d.entries)(e))t.setRequestHeader(i,s);return t}do_load(t,e,i){if(200===t.status){const s=JSON.parse(t.responseText);this.load_data(s,e,i)}}do_error(t){l.logger.error(`Failed to fetch JSON from ${this.data_url} with code ${t.status}`)}}i.AjaxDataSource=h,n=h,h.__name__=\"AjaxDataSource\",n.define((({Boolean:t,Int:e,String:i,Dict:s,Nullable:a})=>({polling_interval:[a(e),null],content_type:[i,\"application/json\"],http_headers:[s(i),{}],method:[o.HTTPMethod,\"POST\"],if_modified:[t,!1]})))},\n function _(e,t,o,r,n){var s;r();const a=e(70),i=e(19),l=e(9),c=e(13);function _(e){return null!=e?e:NaN}const{hasOwnProperty:g}=Object.prototype;class u extends a.ColumnarDataSource{constructor(e){super(e)}initialize(){super.initialize(),this._update_data()}connect_signals(){super.connect_signals(),this.connect(this.properties.geojson.change,(()=>this._update_data()))}_update_data(){this.data=this.geojson_to_column_data()}_get_new_list_array(e){return(0,l.range)(0,e).map((e=>[]))}_get_new_nan_array(e){return(0,l.range)(0,e).map((e=>NaN))}_add_properties(e,t,o,r){var n;const s=null!==(n=e.properties)&&void 0!==n?n:{};for(const[e,n]of(0,c.entries)(s))g.call(t,e)||(t[e]=this._get_new_nan_array(r)),t[e][o]=_(n)}_add_geometry(e,t,o){function r(e,t){return e.concat([[NaN,NaN,NaN]]).concat(t)}switch(e.type){case\"Point\":{const[r,n,s]=e.coordinates;t.x[o]=r,t.y[o]=n,t.z[o]=_(s);break}case\"LineString\":{const{coordinates:r}=e;for(let e=0;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,i){s();const o=e(1);var r;const l=e(232),a=e(390),c=e(241),_=e(175),d=e(339),p=e(176),h=e(177),u=e(283),m=e(186),y=e(187),f=e(189),x=(0,o.__importStar)(e(185)),v=e(152),w=e(43),g=e(22),b=e(13),k=e(234),C=e(8),S=e(113),T=e(20),$=e(228),R=e(15),A=e(66),M=(0,o.__importStar)(e(242)),V=e(392);function G(e,t,n,s,i,o){const r={x:i[e],y:o[e]},l={x:i[e+1],y:o[e+1]};let a,c;if(\"span\"==t.type)\"h\"==t.direction?(a=Math.abs(r.x-n),c=Math.abs(l.x-n)):(a=Math.abs(r.y-s),c=Math.abs(l.y-s));else{const e={x:n,y:s};a=x.dist_2_pts(r,e),c=x.dist_2_pts(l,e)}return 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,C.isString)(n)||(0,C.isFunction)(n),attachment:this.model.attachment,show_arrow:this.model.show_arrow});t instanceof _.GlyphRenderer?e.set(t,s):t instanceof d.GraphRenderer&&(e.set(t.node_renderer,s),e.set(t.edge_renderer,s))}const s=await(0,S.build_views)(this._ttviews,[...e.values()],{parent:this.plot_view});for(const e of s)e.render();const i=[...function*(){for(const e of t)e instanceof _.GlyphRenderer?yield e:e instanceof d.GraphRenderer&&(yield e.node_renderer,yield e.edge_renderer)}()],o=this._slots.get(this._update);if(null!=o){const e=new Set(i.map((e=>e.data_source)));R.Signal.disconnect_receiver(this,o,e)}for(const e of i)this.connect(e.data_source.inspect,this._update)}get computed_renderers(){const{renderers:e,names:t}=this.model,n=this.plot_model.data_renderers;return(0,A.compute_renderers)(e,n,t)}get ttmodels(){return this._ttmodels}_clear(){this._inspect(1/0,1/0);for(const[,e]of this.ttmodels)e.clear()}_move(e){if(!this.model.active)return;const{sx:t,sy:n}=e;this.plot_view.frame.bbox.contains(t,n)?this._inspect(t,n):this._clear()}_move_exit(){this._clear()}_inspect(e,t){let n;if(\"mouse\"==this.model.mode)n={type:\"point\",sx:e,sy:t};else{n={type:\"span\",direction:\"vline\"==this.model.mode?\"h\":\"v\",sx:e,sy:t}}for(const e of this.computed_renderers){const t=e.get_selection_manager(),s=this.plot_view.renderer_view(e);null!=s&&t.inspect(s,n)}this._emit_callback(n)}_update([e,{geometry:t}]){var n,s;if(!this.model.active)return;if(\"point\"!=t.type&&\"span\"!=t.type)return;if(!(e instanceof _.GlyphRenderer))return;if(\"ignore\"==this.model.muted_policy&&e.muted)return;const i=this.ttmodels.get(e);if(null==i)return;const o=e.get_selection_manager(),r=o.inspectors.get(e),l=e.view.convert_selection_to_subset(r);if(r.is_empty()&&null==r.view)return void i.clear();const a=o.source,c=this.plot_view.renderer_view(e);if(null==c)return;const{sx:d,sy:p}=t,x=c.coordinates.x_scale,v=c.coordinates.y_scale,g=x.invert(d),k=v.invert(p),{glyph:C}=c,S=[];if(C instanceof m.PatchView){const[t,n]=[d,p],s={x:g,y:k,sx:d,sy:p,rx:t,ry:n,name:e.name};S.push([t,n,this._render_tooltips(a,-1,s)])}if(C instanceof y.HAreaView)for(const t of l.line_indices){const n=C._x1,s=C._x2,i=C._y,[o,r]=[d,p],c={index:t,x:g,y:k,sx:d,sy:p,data_x1:n,data_x2:s,data_y:i,rx:o,ry:r,indices:l.line_indices,name:e.name};S.push([o,r,this._render_tooltips(a,t,c)])}if(C instanceof f.VAreaView)for(const t of l.line_indices){const n=C._x,s=C._y1,i=C._y2,[o,r]=[d,p],c={index:t,x:g,y:k,sx:d,sy:p,data_x:n,data_y1:s,data_y2:i,rx:o,ry:r,indices:l.line_indices,name:e.name};S.push([o,r,this._render_tooltips(a,t,c)])}if(C instanceof h.LineView)for(const n of l.line_indices){let s,i,o=C._x[n+1],r=C._y[n+1],c=n;switch(this.model.line_policy){case\"interp\":[o,r]=C.get_interpolation_hit(n,t),s=x.compute(o),i=v.compute(r);break;case\"prev\":[[s,i],c]=H(C.sx,C.sy,n);break;case\"next\":[[s,i],c]=H(C.sx,C.sy,n+1);break;case\"nearest\":[[s,i],c]=G(n,t,d,p,C.sx,C.sy),o=C._x[c],r=C._y[c];break;default:[s,i]=[d,p]}const _={index:c,x:g,y:k,sx:d,sy:p,data_x:o,data_y:r,rx:s,ry:i,indices:l.line_indices,name:e.name};S.push([s,i,this._render_tooltips(a,c,_)])}for(const t of r.image_indices){const n={index:t.index,x:g,y:k,sx:d,sy:p,name:e.name},s=this._render_tooltips(a,t,n);S.push([d,p,s])}for(const i of l.indices)if(C instanceof u.MultiLineView&&!(0,b.isEmpty)(l.multiline_indices))for(const n of l.multiline_indices[i.toString()]){let s,o,r,c=C._xs.get(i)[n],h=C._ys.get(i)[n],u=n;switch(this.model.line_policy){case\"interp\":[c,h]=C.get_interpolation_hit(i,n,t),s=x.compute(c),o=v.compute(h);break;case\"prev\":[[s,o],u]=H(C.sxs.get(i),C.sys.get(i),n);break;case\"next\":[[s,o],u]=H(C.sxs.get(i),C.sys.get(i),n+1);break;case\"nearest\":[[s,o],u]=G(n,t,d,p,C.sxs.get(i),C.sys.get(i)),c=C._xs.get(i)[u],h=C._ys.get(i)[u];break;default:throw new Error(\"shouldn't have happened\")}r=e instanceof _.GlyphRenderer?e.view.convert_indices_from_subset([i])[0]:i;const m={index:r,x:g,y:k,sx:d,sy:p,data_x:c,data_y:h,segment_index:u,indices:l.multiline_indices,name:e.name};S.push([s,o,this._render_tooltips(a,r,m)])}else{const t=null===(n=C._x)||void 0===n?void 0:n[i],o=null===(s=C._y)||void 0===s?void 0:s[i];let r,c,h;if(\"snap_to_data\"==this.model.point_policy){let e=C.get_anchor_point(this.model.anchor,i,[d,p]);if(null==e&&(e=C.get_anchor_point(\"center\",i,[d,p]),null==e))continue;r=e.x,c=e.y}else[r,c]=[d,p];h=e instanceof _.GlyphRenderer?e.view.convert_indices_from_subset([i])[0]:i;const u={index:h,x:g,y:k,sx:d,sy:p,data_x:t,data_y:o,indices:l.indices,name:e.name};S.push([r,c,this._render_tooltips(a,h,u)])}if(0==S.length)i.clear();else{const{content:e}=i;(0,w.empty)(i.content);for(const[,,t]of S)null!=t&&e.appendChild(t);const[t,n]=S[S.length-1];i.setv({position:[t,n]},{check_eq:!1})}}_emit_callback(e){const{callback:t}=this.model;if(null!=t)for(const n of this.computed_renderers){if(!(n instanceof _.GlyphRenderer))continue;const s=this.plot_view.renderer_view(n);if(null==s)continue;const{x_scale:i,y_scale:o}=s.coordinates,r=i.invert(e.sx),l=o.invert(e.sy),a=n.data_source.inspected;t.execute(this.model,{geometry:Object.assign({x:r,y:l},e),renderer:n,index:a})}}_create_template(e){const t=(0,w.div)({style:{display:\"table\",borderSpacing:\"2px\"}});for(const[n]of e){const e=(0,w.div)({style:{display:\"table-row\"}});t.appendChild(e);const s=(0,w.div)({style:{display:\"table-cell\"},class:M.tooltip_row_label},0!=n.length?`${n}: `:\"\");e.appendChild(s);const i=(0,w.span)();i.dataset.value=\"\";const o=(0,w.span)({class:M.tooltip_color_block},\" \");o.dataset.swatch=\"\",(0,w.undisplay)(o);const r=(0,w.div)({style:{display:\"table-cell\"},class:M.tooltip_row_value},i,o);e.appendChild(r)}return t}_render_template(e,t,n,s,i){const o=e.cloneNode(!0),r=o.querySelectorAll(\"[data-value]\"),l=o.querySelectorAll(\"[data-swatch]\"),a=/\\$color(\\[.*\\])?:(\\w*)/,c=/\\$swatch:(\\w*)/;for(const[[,e],o]of(0,k.enumerate)(t)){const t=e.match(c),_=e.match(a);if(null!=t||null!=_){if(null!=t){const[,e]=t,i=n.get_column(e);if(null==i)r[o].textContent=`${e} unknown`;else{const e=(0,C.isNumber)(s)?i[s]:null;null!=e&&(l[o].style.backgroundColor=(0,g.color2css)(e),(0,w.display)(l[o]))}}if(null!=_){const[,e=\"\",t]=_,i=n.get_column(t);if(null==i){r[o].textContent=`${t} unknown`;continue}const a=e.indexOf(\"hex\")>=0,c=e.indexOf(\"swatch\")>=0,d=(0,C.isNumber)(s)?i[s]:null;if(null==d){r[o].textContent=\"(null)\";continue}r[o].textContent=a?(0,g.color2hex)(d):(0,g.color2css)(d),c&&(l[o].style.backgroundColor=(0,g.color2css)(d),(0,w.display)(l[o]))}}else{const t=(0,v.replace_placeholders)(e.replace(\"$~\",\"$data_\"),n,s,this.model.formatters,i);if((0,C.isString)(t))r[o].textContent=t;else for(const e of t)r[o].appendChild(e)}}return o}_render_tooltips(e,t,n){var s;const{tooltips:i}=this.model;if((0,C.isString)(i)){const s=(0,v.replace_placeholders)({html:i},e,t,this.model.formatters,n);return(0,w.div)(s)}if((0,C.isFunction)(i))return i(e,n);if(i instanceof V.Template)return this._template_view.update(e,t,n),this._template_view.el;if(null!=i){const o=null!==(s=this._template_el)&&void 0!==s?s:this._template_el=this._create_template(i);return this._render_template(o,i,e,t,n)}return null}}n.HoverToolView=z,z.__name__=\"HoverToolView\";class P extends l.InspectTool{constructor(e){super(e),this.tool_name=\"Hover\",this.icon=$.tool_icon_hover}}n.HoverTool=P,r=P,P.__name__=\"HoverTool\",r.prototype.default_view=z,r.define((({Any:e,Boolean:t,String:n,Array:s,Tuple:i,Dict:o,Or:r,Ref:l,Function:c,Auto:_,Nullable:d})=>({tooltips:[d(r(l(V.Template),n,s(i(n,n)),c())),[[\"index\",\"$index\"],[\"data (x, y)\",\"($x, $y)\"],[\"screen (x, y)\",\"($sx, $sy)\"]]],formatters:[o(r(l(a.CustomJSHover),v.FormatterType)),{}],renderers:[r(s(l(p.DataRenderer)),_),\"auto\"],names:[s(n),[]],mode:[T.HoverMode,\"mouse\"],muted_policy:[T.MutedPolicy,\"show\"],point_policy:[T.PointPolicy,\"snap_to_data\"],line_policy:[T.LinePolicy,\"nearest\"],show_arrow:[t,!0],anchor:[T.Anchor,\"center\"],attachment:[T.TooltipAttachment,\"horizontal\"],callback:[d(e)]}))),r.register_alias(\"hover\",(()=>new P))},\n function _(e,t,s,n,a){n();const l=e(1);var i,_,o,r,c,d,p,u,m,w,f,h,x;const v=e(53),y=e(309),V=e(393);a(\"Styles\",V.Styles);const g=e(43),T=e(42),b=e(226),R=e(113),D=e(8),M=e(13),S=(0,l.__importStar)(e(242)),O=e(152);class C extends b.DOMView{}s.DOMNodeView=C,C.__name__=\"DOMNodeView\";class z extends v.Model{constructor(e){super(e)}}s.DOMNode=z,z.__name__=\"DOMNode\",z.__module__=\"bokeh.models.dom\";class P extends C{render(){super.render(),this.el.textContent=this.model.content}_createElement(){return document.createTextNode(\"\")}}s.TextView=P,P.__name__=\"TextView\";class A extends z{constructor(e){super(e)}}s.Text=A,i=A,A.__name__=\"Text\",i.prototype.default_view=P,i.define((({String:e})=>({content:[e,\"\"]})));class N extends C{}s.PlaceholderView=N,N.__name__=\"PlaceholderView\",N.tag_name=\"span\";class E extends z{constructor(e){super(e)}}s.Placeholder=E,_=E,E.__name__=\"Placeholder\",_.define((({})=>({})));class G extends N{update(e,t,s){this.el.textContent=t.toString()}}s.IndexView=G,G.__name__=\"IndexView\";class I extends E{constructor(e){super(e)}}s.Index=I,o=I,I.__name__=\"Index\",o.prototype.default_view=G,o.define((({})=>({})));class k extends N{update(e,t,s){const n=(0,O._get_column_value)(this.model.field,e,t),a=null==n?\"???\":`${n}`;this.el.textContent=a}}s.ValueRefView=k,k.__name__=\"ValueRefView\";class $ extends E{constructor(e){super(e)}}s.ValueRef=$,r=$,$.__name__=\"ValueRef\",r.prototype.default_view=k,r.define((({String:e})=>({field:[e]})));class B extends k{render(){super.render(),this.value_el=(0,g.span)(),this.swatch_el=(0,g.span)({class:S.tooltip_color_block},\" \"),this.el.appendChild(this.value_el),this.el.appendChild(this.swatch_el)}update(e,t,s){const n=(0,O._get_column_value)(this.model.field,e,t),a=null==n?\"???\":`${n}`;this.el.textContent=a}}s.ColorRefView=B,B.__name__=\"ColorRefView\";class L extends ${constructor(e){super(e)}}s.ColorRef=L,c=L,L.__name__=\"ColorRef\",c.prototype.default_view=B,c.define((({Boolean:e})=>({hex:[e,!0],swatch:[e,!0]})));class j extends C{constructor(){super(...arguments),this.child_views=new Map}async lazy_initialize(){await super.lazy_initialize();const e=this.model.children.filter((e=>e instanceof v.Model));await(0,R.build_views)(this.child_views,e,{parent:this})}render(){super.render();const{style:e}=this.model;if(null!=e)if(e instanceof V.Styles)for(const t of e){const e=t.get_value();if((0,D.isString)(e)){const s=t.attr.replace(/_/g,\"-\");this.el.style.hasOwnProperty(s)&&this.el.style.setProperty(s,e)}}else for(const[t,s]of(0,M.entries)(e)){const e=t.replace(/_/g,\"-\");this.el.style.hasOwnProperty(e)&&this.el.style.setProperty(e,s)}for(const e of this.model.children)if((0,D.isString)(e)){const t=document.createTextNode(e);this.el.appendChild(t)}else{this.child_views.get(e).renderTo(this.el)}}}s.DOMElementView=j,j.__name__=\"DOMElementView\";class q extends z{constructor(e){super(e)}}s.DOMElement=q,d=q,q.__name__=\"DOMElement\",d.define((({String:e,Array:t,Dict:s,Or:n,Nullable:a,Ref:l})=>({style:[a(n(l(V.Styles),s(e))),null],children:[t(n(e,l(z),l(y.LayoutDOM))),[]]})));class F extends T.View{}s.ActionView=F,F.__name__=\"ActionView\";class H extends v.Model{constructor(e){super(e)}}s.Action=H,p=H,H.__name__=\"Action\",H.__module__=\"bokeh.models.dom\",p.define((({})=>({})));class J extends j{constructor(){super(...arguments),this.action_views=new Map}async lazy_initialize(){await super.lazy_initialize(),await(0,R.build_views)(this.action_views,this.model.actions,{parent:this})}remove(){(0,R.remove_views)(this.action_views),super.remove()}update(e,t,s={}){!function n(a){for(const l of a.child_views.values())l instanceof N?l.update(e,t,s):l instanceof j&&n(l)}(this);for(const n of this.action_views.values())n.update(e,t,s)}}s.TemplateView=J,J.__name__=\"TemplateView\",J.tag_name=\"div\";class K extends q{}s.Template=K,u=K,K.__name__=\"Template\",u.prototype.default_view=J,u.define((({Array:e,Ref:t})=>({actions:[e(t(H)),[]]})));class Q extends j{}s.SpanView=Q,Q.__name__=\"SpanView\",Q.tag_name=\"span\";class U extends q{}s.Span=U,m=U,U.__name__=\"Span\",m.prototype.default_view=Q;class W extends j{}s.DivView=W,W.__name__=\"DivView\",W.tag_name=\"div\";class X extends q{}s.Div=X,w=X,X.__name__=\"Div\",w.prototype.default_view=W;class Y extends j{}s.TableView=Y,Y.__name__=\"TableView\",Y.tag_name=\"table\";class Z extends q{}s.Table=Z,f=Z,Z.__name__=\"Table\",f.prototype.default_view=Y;class ee extends j{}s.TableRowView=ee,ee.__name__=\"TableRowView\",ee.tag_name=\"tr\";class te extends q{}s.TableRow=te,h=te,te.__name__=\"TableRow\",h.prototype.default_view=ee;const se=e(41),ne=e(234);class ae extends F{update(e,t,s){for(const[e,s]of(0,ne.enumerate)(this.model.groups))e.visible=t==s}}s.ToggleGroupView=ae,ae.__name__=\"ToggleGroupView\";class le extends H{constructor(e){super(e)}}s.ToggleGroup=le,x=le,le.__name__=\"ToggleGroup\",x.prototype.default_view=ae,x.define((({Array:e,Ref:t})=>({groups:[e(t(se.RendererGroup)),[]]})))},\n function _(l,n,u,_,e){var t;_();const o=l(53);class r extends 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function _(t,o,e,n,s){var i;n();const l=t(15),c=t(53),r=t(224),a=t(232),u=t(234);class h extends c.Model{constructor(t){super(t)}get button_view(){return this.tools[0].button_view}get event_type(){return this.tools[0].event_type}get tooltip(){return this.tools[0].tooltip}get tool_name(){return this.tools[0].tool_name}get icon(){return this.tools[0].computed_icon}get computed_icon(){return this.icon}get toggleable(){const t=this.tools[0];return t instanceof a.InspectTool&&t.toggleable}initialize(){super.initialize(),this.do=new l.Signal0(this,\"do\")}connect_signals(){super.connect_signals(),this.connect(this.do,(()=>this.doit())),this.connect(this.properties.active.change,(()=>this.set_active()));for(const t of this.tools)this.connect(t.properties.active.change,(()=>{this.active=t.active}))}doit(){for(const t of this.tools)t.do.emit()}set_active(){for(const t of this.tools)t.active=this.active}get menu(){const{menu:t}=this.tools[0];if(null==t)return null;const o=[];for(const[e,n]of(0,u.enumerate)(t))if(null==e)o.push(null);else{const t=()=>{var t,o,e;for(const s of this.tools)null===(e=null===(o=null===(t=s.menu)||void 0===t?void 0:t[n])||void 0===o?void 0:o.handler)||void 0===e||e.call(o)};o.push(Object.assign(Object.assign({},e),{handler:t}))}return o}}e.ToolProxy=h,i=h,h.__name__=\"ToolProxy\",i.define((({Boolean:t,Array:o,Ref:e})=>({tools:[o(e(r.ButtonTool)),[]],active:[t,!1],disabled:[t,!1]})))},\n function _(o,t,s,e,i){var n,r;e();const l=o(20),c=o(9),h=o(13),a=o(233),_=o(221),p=o(394),u=o(309),f=o(207);class y extends a.ToolbarBase{constructor(o){super(o)}initialize(){super.initialize(),this._merge_tools()}_merge_tools(){this._proxied_tools=[];const o={},t={},s={},e=[],i=[];for(const o of this.help)(0,c.includes)(i,o.redirect)||(e.push(o),i.push(o.redirect));this._proxied_tools.push(...e),this.help=e;for(const[o,t]of(0,h.entries)(this.gestures)){o in s||(s[o]={});for(const e of t.tools)e.type in 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 ${this._number} is now 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t.def(e.shared.vao,\".currentVAO?\",e.shared.vao,\".currentVAO.count:-1\")}));return m}return null}(),h=l(br,!1);return{elements:s,primitive:m,count:p,instances:h,offset:d,vao:f,vaoActive:i,elementsActive:u,static:a}}(e,d),A=function(e,t){var r=e.static,n=e.dynamic,i={};return k.forEach((function(e){var o=E(e);function f(t,a){if(e in r){var f=t(r[e]);i[o]=an((function(){return f}))}else if(e in n){var u=n[e];i[o]=on(u,(function(e,t){return a(e,t,e.invoke(t,u))}))}}switch(e){case Nt:case It:case Vt:case er:case Mt:case ir:case Xt:case Kt:case Jt:case Gt:return f((function(r){return _.commandType(r,\"boolean\",e,t.commandStr),r}),(function(t,r,n){return _.optional((function(){t.assert(r,\"typeof \"+n+'===\"boolean\"',\"invalid flag \"+e,t.commandStr)})),n}));case Wt:return f((function(r){return _.commandParameter(r,$r,\"invalid \"+e,t.commandStr),$r[r]}),(function(t,r,n){var a=t.constants.compareFuncs;return _.optional((function(){t.assert(r,n+\" in \"+a,\"invalid \"+e+\", must be one of 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_.optional((function(){e.assert(t,e.shared.isArrayLike+\"(\"+r+\")&&\"+r+\".length===4\",\"blend.color must be a 4d array\")})),V(4,(function(e){return t.def(\"+\",r,\"[\",e,\"]\")}))}));case tr:return f((function(e){return _.commandType(e,\"number\",o,t.commandStr),0|e}),(function(e,t,r){return _.optional((function(){e.assert(t,\"typeof \"+r+'===\"number\"',\"invalid stencil.mask\")})),t.def(r,\"|0\")}));case rr:return f((function(r){_.commandType(r,\"object\",o,t.commandStr);var n=r.cmp||\"keep\",a=r.ref||0,i=\"mask\"in r?r.mask:-1;return _.commandParameter(n,$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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a=this._map.get(e);if(null==a){const s=(0,n.gcd)(t);if(s>1){t=(0,o.map)(t,(t=>t/s)),a=this._get_or_create(t);const[r,n,_]=a;a=[r,n,s],this._map.set(e,a)}else{const[r,n]=this._create_texture(t);a=[r,n,s],this._map.set(e,a)}}return a}get(t){return t.length%2==1&&(t=(0,_.concat)([t,t])),this._get_or_create(t)}}a.DashCache=c,c.__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= 0.0 ? 1.0 : -1.0;\\n}\\n\\nvoid main()\\n{\\n if (a_show_curr < 0.5) {\\n // Line segment has non-finite value at one or both ends, do not render.\\n gl_Position = vec4(-2.0, -2.0, 0.0, 1.0);\\n return;\\n }\\n\\n const float min_miter_factor_round_join_mesh = sqrt(2.0);\\n\\n int join_type = int(u_line_join + 0.5);\\n int cap_type = int(u_line_cap + 0.5);\\n float halfwidth = 0.5*(u_linewidth + u_antialias);\\n vec2 segment_along = normalize(a_point_end - a_point_start); // unit vector.\\n v_segment_length = length(a_point_end - a_point_start);\\n vec2 segment_right = right_vector(segment_along); // unit vector.\\n vec2 xy;\\n\\n bool miter_too_large_start = false;\\n bool miter_too_large_end = false;\\n\\n v_coords.y = a_position.y*halfwidth; // Overwritten later for end points.\\n\\n bool has_start_cap = a_show_prev < 0.5;\\n bool has_end_cap = a_show_next < 0.5;\\n\\n vec2 point_normal_start;\\n float cos_theta_start;\\n float turn_right_start;\\n if (has_start_cap)\\n point_normal_start = segment_right;\\n else {\\n vec2 prev_right = right_vector(normalize(a_point_start - a_point_prev));\\n point_normal_start = normalize(segment_right + prev_right);\\n cos_theta_start = dot(segment_right, point_normal_start); // Always +ve\\n turn_right_start = sign_no_zero(dot(segment_right, a_point_prev - a_point_start));\\n }\\n\\n vec2 point_normal_end;\\n float cos_theta_end;\\n float turn_right_end;\\n if (has_end_cap)\\n point_normal_end = segment_right;\\n else {\\n vec2 next_right = right_vector(normalize(a_point_next - a_point_end));\\n point_normal_end = normalize(segment_right + next_right);\\n cos_theta_end = dot(segment_right, point_normal_end); // Always +ve\\n turn_right_end = sign_no_zero(dot(segment_right, a_point_next - a_point_end));\\n }\\n\\n float miter_factor_start = 1.0 / dot(segment_right, point_normal_start);\\n float miter_factor_end = 1.0 / dot(segment_right, point_normal_end);\\n if (join_type == miter_join) {\\n // If miter too large, use bevel join instead.\\n miter_too_large_start = (miter_factor_start > u_miter_limit);\\n miter_too_large_end = (miter_factor_end > u_miter_limit);\\n }\\n\\n float sign_at_start = -sign(a_position.x); // +ve at segment start, -ve end.\\n vec2 point = sign_at_start > 0.0 ? a_point_start : a_point_end;\\n vec2 adjacent_point =\\n sign_at_start > 0.0 ? (has_start_cap ? a_point_start : a_point_prev)\\n : (has_end_cap ? a_point_end : a_point_next);\\n\\n if ( (has_start_cap && sign_at_start > 0.0) ||\\n (has_end_cap && sign_at_start < 0.0) ) {\\n // Cap.\\n xy = point - segment_right*(halfwidth*a_position.y);\\n if (cap_type == butt_cap)\\n xy -= sign_at_start*0.5*u_antialias*segment_along;\\n else\\n xy -= sign_at_start*halfwidth*segment_along;\\n }\\n else { // Join.\\n // +ve if turning to right, -ve if to left.\\n float turn_sign = sign_at_start > 0.0 ? turn_right_start : turn_right_end;\\n\\n vec2 adjacent_right = sign_at_start*normalize(right_vector(point - adjacent_point));\\n vec2 point_right = normalize(segment_right + adjacent_right);\\n float miter_factor = sign_at_start > 0.0 ? miter_factor_start : miter_factor_end;\\n bool miter_too_large = sign_at_start > 0.0 ? miter_too_large_start : miter_too_large_end;\\n\\n if (abs(a_position.x) > 1.5) {\\n // Outer point, meets prev/next segment.\\n float factor; // multiplied by halfwidth...\\n\\n if (join_type == bevel_join || (join_type == miter_join && miter_too_large))\\n factor = 1.0 / miter_factor; // cos_theta.\\n else if (join_type == round_join &&\\n miter_factor > min_miter_factor_round_join_mesh)\\n factor = 1.0;\\n else // miter, or round (small angle only).\\n factor = miter_factor;\\n\\n xy = point - point_right*(halfwidth*turn_sign*factor);\\n v_coords.y = turn_sign*halfwidth*factor / miter_factor;\\n }\\n else if (turn_sign*a_position.y < 0.0) {\\n // Inner point, meets prev/next segment.\\n float len = halfwidth*miter_factor;\\n float segment_len = v_segment_length;\\n float adjacent_len = distance(point, adjacent_point);\\n\\n if (len <= min(segment_len, adjacent_len))\\n // Normal behaviour.\\n xy = point - point_right*(len*a_position.y);\\n else\\n // For short wide line segments the inner point using the above\\n // calculation can be outside of the line. Here clipping it.\\n xy = point + segment_right*(halfwidth*turn_sign);\\n }\\n else {\\n // Point along outside edge.\\n xy = point - segment_right*(halfwidth*a_position.y);\\n if (join_type == round_join &&\\n miter_factor > min_miter_factor_round_join_mesh) {\\n xy = line_intersection(xy, segment_along,\\n point - turn_sign*point_right*halfwidth,\\n right_vector(point_right));\\n }\\n }\\n }\\n\\n vec2 pos = xy + 0.5; // Bokeh's offset.\\n pos /= u_canvas_size / u_pixel_ratio; // in 0..1\\n gl_Position = vec4(2.0*pos.x - 1.0, 1.0 - 2.0*pos.y, 0.0, 1.0);\\n\\n v_coords.x = dot(xy - a_point_start, segment_along);\\n v_flags = float(int(has_start_cap) +\\n 2*int(has_end_cap) +\\n 4*int(miter_too_large_start) +\\n 8*int(miter_too_large_end));\\n v_cos_theta_turn_right_start = cos_theta_start*turn_right_start;\\n v_cos_theta_turn_right_end = cos_theta_end*turn_right_end;\\n\\n#ifdef DASHED\\n v_length_so_far = a_length_so_far;\\n#endif\\n}\\n\"},\n 416: function _(n,t,a,i,e){i();a.default=\"\\nprecision mediump float;\\n\\nconst int butt_cap = 0;\\nconst int round_cap = 1;\\nconst int square_cap = 2;\\n\\nconst int miter_join = 0;\\nconst int round_join = 1;\\nconst int bevel_join = 2;\\n\\nuniform float u_linewidth;\\nuniform float u_antialias;\\nuniform float u_line_join;\\nuniform float u_line_cap;\\nuniform vec4 u_line_color;\\n#ifdef DASHED\\nuniform sampler2D u_dash_tex;\\nuniform vec4 u_dash_tex_info;\\nuniform float u_dash_scale;\\nuniform float u_dash_offset;\\n#endif\\n\\nvarying float v_segment_length;\\nvarying vec2 v_coords;\\nvarying float v_flags;\\nvarying float v_cos_theta_turn_right_start;\\nvarying float v_cos_theta_turn_right_end;\\n#ifdef DASHED\\nvarying float v_length_so_far;\\n#endif\\n\\nfloat cross_z(in vec2 v0, in vec2 v1)\\n{\\n return v0.x*v1.y - v0.y*v1.x;\\n}\\n\\nfloat point_line_side(in vec2 point, in vec2 start, in vec2 end)\\n{\\n // +ve if point to right of line.\\n // Alternatively could do dot product with right_vector.\\n return cross_z(point - start, end - start);\\n}\\n\\nfloat point_line_distance(in vec2 point, in vec2 start, in vec2 end)\\n{\\n return point_line_side(point, start, end) / distance(start, end);\\n}\\n\\nvec2 right_vector(in vec2 v)\\n{\\n return vec2(v.y, -v.x);\\n}\\n\\nfloat bevel_join_distance(in float sign_start, in float halfwidth)\\n{\\n float cos_theta_turn_right = sign_start > 0.0 ? v_cos_theta_turn_right_start\\n : v_cos_theta_turn_right_end;\\n float cos_theta = abs(cos_theta_turn_right);\\n float turn_right = sign(cos_theta_turn_right);\\n float distance_along = sign_start > 0.0 ? 0.0 : v_segment_length;\\n\\n // In v_coords reference frame (x is along segment, y across).\\n vec2 line_start = vec2(distance_along, halfwidth*turn_right);\\n float sin_alpha = cos_theta;\\n float cos_alpha = sqrt(1.0 - sin_alpha*sin_alpha);\\n vec2 line_along = vec2(-sign_start*turn_right*sin_alpha, -cos_alpha);\\n\\n return halfwidth + sign_start*point_line_distance(\\n v_coords, line_start, line_start+line_along);\\n}\\n\\nfloat cap(in int cap_type, in float x, in float y)\\n{\\n // x is distance along segment in direction away from end of segment,\\n // y is distance across segment.\\n if (cap_type == butt_cap)\\n return max(0.5*u_linewidth - x, abs(y));\\n else if (cap_type == square_cap)\\n return max(-x, abs(y));\\n else // cap_type == round_cap\\n return distance(vec2(min(x, 0.0), y), vec2(0.0, 0.0));\\n}\\n\\nfloat distance_to_alpha(in float dist)\\n{\\n return 1.0 - smoothstep(0.5*(u_linewidth - u_antialias),\\n 0.5*(u_linewidth + u_antialias), dist);\\n}\\n\\n#ifdef DASHED\\nfloat dash_distance(in float x)\\n{\\n // x is in direction of v_coords.x, i.e. along segment.\\n float tex_length = u_dash_tex_info.x;\\n float tex_offset = u_dash_tex_info.y;\\n float tex_dist_min = u_dash_tex_info.z;\\n float tex_dist_max = u_dash_tex_info.w;\\n\\n // Apply offset.\\n x += v_length_so_far - u_dash_scale*tex_offset + u_dash_offset;\\n\\n // Interpolate within texture to obtain distance to dash.\\n float dist = texture2D(u_dash_tex,\\n vec2(x / (tex_length*u_dash_scale), 0.0)).a;\\n\\n // Scale distance within min and max limits.\\n dist = tex_dist_min + dist*(tex_dist_max - tex_dist_min);\\n\\n return u_dash_scale*dist;\\n}\\n\\nfloat clip_dash_distance(in float x, in float offset, in float sign_along)\\n{\\n // Return clipped dash distance, sign_along is +1.0 if looking forward\\n // into next segment and -1.0 if looking backward into previous segment.\\n float half_antialias = 0.5*u_antialias;\\n\\n if (sign_along*x > half_antialias) {\\n // Outside antialias region, use usual dash distance.\\n return dash_distance(offset + x);\\n }\\n else {\\n // Inside antialias region.\\n // Dash distance at edge of antialias region clipped to half_antialias.\\n float edge_dist = min(dash_distance(offset + sign_along*half_antialias), half_antialias);\\n\\n // Physical distance from dash distance at edge of antialias region.\\n return edge_dist + sign_along*x - half_antialias;\\n }\\n}\\n\\nmat2 rotation_matrix(in float sign_start)\\n{\\n // Rotation matrix for v_coords from this segment to prev or next segment.\\n float cos_theta_turn_right = sign_start > 0.0 ? v_cos_theta_turn_right_start\\n : v_cos_theta_turn_right_end;\\n float cos_theta = abs(cos_theta_turn_right);\\n float turn_right = sign(cos_theta_turn_right);\\n\\n float sin_theta = sqrt(1.0 - cos_theta*cos_theta)*sign_start*turn_right;\\n float cos_2theta = 2.0*cos_theta*cos_theta - 1.0;\\n float sin_2theta = 2.0*sin_theta*cos_theta;\\n return mat2(cos_2theta, -sin_2theta, sin_2theta, cos_2theta);\\n}\\n#endif\\n\\nvoid main()\\n{\\n int join_type = int(u_line_join + 0.5);\\n int cap_type = int(u_line_cap + 0.5);\\n float halfwidth = 0.5*(u_linewidth + u_antialias);\\n float half_antialias = 0.5*u_antialias;\\n\\n // Extract flags.\\n int flags = int(v_flags + 0.5);\\n bool miter_too_large_end = (flags / 8 > 0);\\n flags -= 8*int(miter_too_large_end);\\n bool miter_too_large_start = (flags / 4 > 0);\\n flags -= 4*int(miter_too_large_start);\\n bool has_end_cap = (flags / 2 > 0);\\n flags -= 2*int(has_end_cap);\\n bool has_start_cap = flags > 0;\\n\\n float dist = v_coords.y; // For straight segment, and miter join.\\n\\n // Along-segment coords with respect to end of segment, +ve inside segment\\n // so equivalent to v_coords.x at start of segment.\\n float end_coords_x = v_segment_length - v_coords.x;\\n\\n if (v_coords.x <= half_antialias) {\\n // At start of segment, either cap or join.\\n if (has_start_cap)\\n dist = cap(cap_type, v_coords.x, v_coords.y);\\n else if (join_type == round_join)\\n dist = distance(v_coords, vec2(0.0, 0.0));\\n else if (join_type == bevel_join ||\\n (join_type == miter_join && miter_too_large_start))\\n dist = max(abs(dist), bevel_join_distance(1.0, halfwidth));\\n // else a miter join which uses the default dist calculation.\\n }\\n else if (end_coords_x <= half_antialias) {\\n // At end of segment, either cap or join.\\n if (has_end_cap)\\n dist = cap(cap_type, end_coords_x, v_coords.y);\\n else if (join_type == round_join)\\n dist = distance(v_coords, vec2(v_segment_length, 0));\\n else if ((join_type == bevel_join ||\\n (join_type == miter_join && miter_too_large_end)))\\n dist = max(abs(dist), bevel_join_distance(-1.0, halfwidth));\\n // else a miter join which uses the default dist calculation.\\n }\\n\\n float alpha = distance_to_alpha(abs(dist));\\n\\n#ifdef DASHED\\n if (u_dash_tex_info.x >= 0.0) {\\n // Dashes in straight segments (outside of joins) are easily calculated.\\n dist = dash_distance(v_coords.x);\\n\\n if (!has_start_cap && cap_type == butt_cap) {\\n if (v_coords.x < half_antialias) {\\n // Outer of start join rendered solid color or not at all\\n // depending on whether corner point is in dash or gap, with\\n // antialiased ends.\\n if (dash_distance(0.0) > 0.0) {\\n // Corner is solid color.\\n dist = max(dist, min(half_antialias, -v_coords.x));\\n // Avoid visible antialiasing band between corner and dash.\\n dist = max(dist, dash_distance(half_antialias));\\n }\\n else {\\n // Use large negative value so corner not colored.\\n dist = -halfwidth;\\n\\n if (v_coords.x > -half_antialias) {\\n // Consider antialias region of dash after start region.\\n float edge_dist = min(dash_distance(half_antialias), half_antialias);\\n dist = max(dist, edge_dist + v_coords.x - half_antialias);\\n }\\n }\\n }\\n\\n vec2 prev_coords = rotation_matrix(1.0)*v_coords;\\n\\n if (abs(prev_coords.y) < halfwidth && prev_coords.x < half_antialias) {\\n // Extend dashes across from end of previous segment, with antialiased end.\\n float new_dist = clip_dash_distance(prev_coords.x, 0.0, -1.0);\\n new_dist = min(new_dist, 0.5*u_linewidth - abs(prev_coords.y));\\n dist = max(dist, new_dist);\\n }\\n }\\n\\n if (!has_end_cap && cap_type == butt_cap) {\\n if (end_coords_x < half_antialias) {\\n // Similar for end join.\\n if (dash_distance(v_segment_length) > 0.0) {\\n // Corner is solid color.\\n dist = max(dist, min(half_antialias, -end_coords_x));\\n // Avoid visible antialiasing band between corner and dash.\\n dist = max(dist, dash_distance(v_segment_length - half_antialias));\\n }\\n else {\\n // Use large negative value so corner not colored.\\n dist = -halfwidth;\\n\\n if (end_coords_x > -half_antialias) {\\n // Consider antialias region of dash before end region.\\n float edge_dist = min(dash_distance(v_segment_length - half_antialias),\\n half_antialias);\\n dist = max(dist, edge_dist + end_coords_x - half_antialias);\\n }\\n }\\n }\\n\\n vec2 next_coords = rotation_matrix(-1.0)*(v_coords - vec2(v_segment_length, 0.0));\\n\\n if (abs(next_coords.y) < halfwidth && next_coords.x > -half_antialias) {\\n // Extend dashes across from next segment, with antialiased end.\\n float new_dist = clip_dash_distance(next_coords.x, v_segment_length, 1.0);\\n new_dist = min(new_dist, 0.5*u_linewidth - abs(next_coords.y));\\n dist = max(dist, new_dist);\\n }\\n }\\n\\n dist = cap(cap_type, dist, v_coords.y);\\n\\n float dash_alpha = distance_to_alpha(dist);\\n alpha = min(alpha, dash_alpha);\\n }\\n#endif\\n\\n alpha = u_line_color.a*alpha;\\n gl_FragColor = vec4(u_line_color.rgb*alpha, alpha); // Premultiplied alpha.\\n}\\n\"},\n 417: function _(n,i,e,t,a){t();e.default=\"\\nprecision mediump float;\\n\\nattribute vec2 a_position;\\nattribute vec2 a_center;\\nattribute float a_width;\\nattribute float a_height;\\nattribute float a_angle; // In radians\\nattribute float a_linewidth;\\nattribute vec4 a_line_color;\\nattribute vec4 a_fill_color;\\nattribute float a_line_cap;\\nattribute float a_line_join;\\nattribute float a_show;\\n#ifdef HATCH\\nattribute float a_hatch_pattern;\\nattribute float a_hatch_scale;\\nattribute float a_hatch_weight;\\nattribute vec4 a_hatch_color;\\n#endif\\n\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size;\\nuniform float u_antialias;\\nuniform float u_size_hint;\\n\\nvarying float v_linewidth;\\nvarying vec2 v_size; // 2D size for rects compared to 1D for markers.\\nvarying vec4 v_line_color;\\nvarying vec4 v_fill_color;\\nvarying float v_line_cap;\\nvarying float v_line_join;\\nvarying vec2 v_coords;\\n#ifdef HATCH\\nvarying float v_hatch_pattern;\\nvarying float v_hatch_scale;\\nvarying float v_hatch_weight;\\nvarying vec4 v_hatch_color;\\nvarying vec2 v_hatch_coords;\\n#endif\\n\\nvoid main()\\n{\\n if (a_show < 0.5) {\\n // Do not show this rect.\\n gl_Position = vec4(-2.0, -2.0, 0.0, 1.0);\\n return;\\n }\\n\\n v_size = vec2(a_width, a_height);\\n v_linewidth = a_linewidth;\\n v_line_color = a_line_color;\\n v_fill_color = a_fill_color;\\n v_line_cap = a_line_cap;\\n v_line_join = a_line_join;\\n\\n if (v_linewidth < 1.0) {\\n // Linewidth less than 1 is implemented as 1 but with reduced alpha.\\n v_line_color.a *= v_linewidth;\\n v_linewidth = 1.0;\\n }\\n\\n#ifdef HATCH\\n v_hatch_pattern = a_hatch_pattern;\\n v_hatch_scale = a_hatch_scale;\\n v_hatch_weight = a_hatch_weight;\\n v_hatch_color = a_hatch_color;\\n#endif\\n\\n vec2 enclosing_size;\\n // Need extra size of (v_linewidth+u_antialias) if edge of marker parallel to\\n // edge of bounding box. If symmetric spike towards edge then multiply by\\n // 1/cos(theta) where theta is angle between spike and bbox edges.\\n int size_hint = int(u_size_hint + 0.5);\\n if (size_hint == 1) // Dash\\n enclosing_size = vec2(v_size.x + v_linewidth + u_antialias,\\n v_linewidth + u_antialias);\\n else if (size_hint == 2) // Dot\\n enclosing_size = 0.25*v_size + u_antialias;\\n else if (size_hint == 3) // Diamond\\n enclosing_size = vec2(v_size.x*(2.0/3.0) + (v_linewidth + u_antialias)*1.20185,\\n v_size.y + (v_linewidth + u_antialias)*1.80278);\\n else if (size_hint == 4) // Hex\\n enclosing_size = v_size + (v_linewidth + u_antialias)*vec2(2.0/sqrt(3.0), 1.0);\\n else if (size_hint == 5) // Square pin\\n enclosing_size = v_size + (v_linewidth + u_antialias)*3.1;\\n else if (size_hint == 6) // Triangle\\n enclosing_size = vec2(v_size.x + (v_linewidth + u_antialias)*sqrt(3.0),\\n v_size.y*(2.0/sqrt(3.0)) + (v_linewidth + u_antialias)*2.0);\\n else if (size_hint == 7) // Triangle pin\\n enclosing_size = v_size + (v_linewidth + u_antialias)*vec2(4.8, 6.0);\\n else if (size_hint == 8) // Star\\n enclosing_size = vec2(v_size.x*0.95106 + (v_linewidth + u_antialias)*3.0,\\n v_size.y + (v_linewidth + u_antialias)*3.2);\\n else\\n enclosing_size = v_size + v_linewidth + u_antialias;\\n\\n // Coordinates in rotated frame with respect to center of marker, used for\\n // distance functions in fragment shader.\\n v_coords = a_position*enclosing_size;\\n\\n float c = cos(-a_angle);\\n float s = sin(-a_angle);\\n mat2 rotation = mat2(c, -s, s, c);\\n\\n vec2 pos = a_center + rotation*v_coords;\\n#ifdef HATCH\\n // Coordinates for hatching in unrotated frame of reference.\\n v_hatch_coords = pos - 0.5;\\n#endif\\n pos += 0.5; // Make up for Bokeh's offset.\\n pos /= u_canvas_size / u_pixel_ratio; // 0 to 1.\\n gl_Position = vec4(2.0*pos.x - 1.0, 1.0 - 2.0*pos.y, 0.0, 1.0);\\n}\\n\"},\n 418: function _(n,i,e,t,a){t();e.default=\"\\nprecision mediump float;\\n\\nconst float SQRT2 = sqrt(2.0);\\nconst float SQRT3 = sqrt(3.0);\\nconst float PI = 3.14159265358979323846;\\n\\nconst int butt_cap = 0;\\nconst int round_cap = 1;\\nconst int square_cap = 2;\\n\\nconst int miter_join = 0;\\nconst int round_join = 1;\\nconst int bevel_join = 2;\\n\\n#ifdef HATCH\\nconst int hatch_dot = 1;\\nconst int hatch_ring = 2;\\nconst int hatch_horizontal_line = 3;\\nconst int hatch_vertical_line = 4;\\nconst int hatch_cross = 5;\\nconst int hatch_horizontal_dash = 6;\\nconst int hatch_vertical_dash = 7;\\nconst int hatch_spiral = 8;\\nconst int hatch_right_diagonal_line = 9;\\nconst int hatch_left_diagonal_line = 10;\\nconst int hatch_diagonal_cross = 11;\\nconst int hatch_right_diagonal_dash = 12;\\nconst int hatch_left_diagonal_dash = 13;\\nconst int hatch_horizontal_wave = 14;\\nconst int hatch_vertical_wave = 15;\\nconst int hatch_criss_cross = 16;\\n#endif\\n\\nuniform float u_antialias;\\n\\nvarying float v_linewidth;\\nvarying vec2 v_size;\\nvarying vec4 v_line_color;\\nvarying vec4 v_fill_color;\\nvarying float v_line_cap;\\nvarying float v_line_join;\\nvarying vec2 v_coords;\\n#ifdef HATCH\\nvarying float v_hatch_pattern;\\nvarying float v_hatch_scale;\\nvarying float v_hatch_weight;\\nvarying vec4 v_hatch_color;\\nvarying vec2 v_hatch_coords;\\n#endif\\n\\n// Lines within the marker (dot, cross, x and y) are added at the end as they are\\n// on top of the fill rather than astride it.\\n#if defined(USE_CIRCLE_DOT) || defined(USE_DIAMOND_DOT) || defined(USE_DOT) || defined(USE_HEX_DOT) || defined(USE_SQUARE_DOT) || defined(USE_STAR_DOT) || defined(USE_TRIANGLE_DOT)\\n #define APPEND_DOT\\n#endif\\n\\n#if defined(USE_CIRCLE_CROSS) || defined(USE_SQUARE_CROSS)\\n #define APPEND_CROSS\\n#endif\\n\\n#ifdef USE_DIAMOND_CROSS\\n #define APPEND_CROSS_2\\n#endif\\n\\n#ifdef USE_CIRCLE_X\\n #define APPEND_X\\n #define APPEND_X_LEN (0.5*v_size.x)\\n#endif\\n\\n#ifdef USE_SQUARE_X\\n #define APPEND_X\\n #define APPEND_X_LEN (v_size.x/SQRT2)\\n#endif\\n\\n#ifdef USE_CIRCLE_Y\\n #define APPEND_Y\\n#endif\\n\\n#if defined(USE_ASTERISK) || defined(USE_CROSS) || defined(USE_DASH) || defined(USE_DOT) || defined(USE_X) || defined(USE_Y)\\n // No fill.\\n #define LINE_ONLY\\n#endif\\n\\n#if defined(LINE_ONLY) || defined(APPEND_CROSS) || defined(APPEND_CROSS_2) || defined(APPEND_X) || defined(APPEND_Y)\\nfloat end_cap_distance(in vec2 p, in vec2 end_point, in vec2 unit_direction, in int line_cap)\\n{\\n vec2 offset = p - end_point;\\n if (line_cap == butt_cap)\\n return dot(offset, unit_direction) + 0.5*v_linewidth;\\n else if (line_cap == square_cap)\\n return dot(offset, unit_direction);\\n else if (line_cap == round_cap && dot(offset, unit_direction) > 0.0)\\n return length(offset);\\n else\\n // Default is outside of line and should be -0.5*(v_linewidth+u_antialias) or less,\\n // so here avoid the multiplication.\\n return -v_linewidth-u_antialias;\\n}\\n#endif\\n\\n#if !(defined(LINE_ONLY) || defined(USE_SQUARE_PIN) || defined(USE_TRIANGLE_PIN))\\n// For line join at a vec2 corner where 2 line segments meet, consider bevel points which are the 2\\n// points obtained by moving half a linewidth away from the corner point in the directions normal to\\n// the line segments. The line through these points is the bevel line, characterised by a vec2\\n// unit_normal and offset distance from the corner point. Edge of bevel join straddles this line,\\n// round join occurs outside of this line centred on the corner point. In general\\n// offset = (linewidth/2)*sin(alpha/2)\\n// where alpha is the angle between the 2 line segments at the corner.\\nfloat line_join_distance_no_miter(\\n in vec2 p, in vec2 corner, in vec2 unit_normal, in float offset, in int line_join)\\n{\\n // Simplified version of line_join_distance ignoring miter which most markers do implicitly\\n // as they are composed of straight line segments.\\n float dist_outside = dot((p - corner), unit_normal) - offset;\\n\\n if (line_join == bevel_join && dist_outside > -0.5*u_antialias)\\n return dist_outside + 0.5*v_linewidth;\\n else if (dist_outside > 0.0) // round_join\\n return distance(p, corner);\\n else\\n // Default is outside of line and should be -0.5*(v_linewidth+u_antialias) or less,\\n // so here avoid the multiplication.\\n return -v_linewidth-u_antialias;\\n}\\n#endif\\n\\n#if defined(USE_SQUARE_PIN) || defined(USE_TRIANGLE_PIN)\\n// Line join distance including miter but only one-sided check as assuming use of symmetry in\\n// calling function.\\nfloat line_join_distance_incl_miter(\\n in vec2 p, in vec2 corner, in vec2 unit_normal, in float offset, in int line_join,\\n vec2 miter_unit_normal)\\n{\\n float dist_outside = dot((p - corner), unit_normal) - offset;\\n\\n if (line_join == miter_join && dist_outside > 0.0)\\n return dot((p - corner), miter_unit_normal);\\n else if (line_join == bevel_join && dist_outside > -0.5*u_antialias)\\n return dist_outside + 0.5*v_linewidth;\\n else if (dist_outside > 0.0) // round_join\\n return distance(p, corner);\\n else\\n return -v_linewidth-u_antialias;\\n}\\n#endif\\n\\n#if defined(APPEND_CROSS) || defined(APPEND_X) || defined(USE_ASTERISK) || defined(USE_CROSS) || defined(USE_X)\\nfloat one_cross(in vec2 p, in int line_cap, in float len)\\n{\\n p = abs(p);\\n p = (p.y > p.x) ? p.yx : p.xy;\\n float dist = p.y;\\n float end_dist = end_cap_distance(p, vec2(len, 0.0), vec2(1.0, 0.0), line_cap);\\n return max(dist, end_dist);\\n}\\n#endif\\n\\n#ifdef APPEND_CROSS_2\\nfloat one_cross_2(in vec2 p, in int line_cap, in vec2 lengths)\\n{\\n // Cross with different length in x and y directions.\\n p = abs(p);\\n bool switch_xy = (p.y > p.x);\\n p = switch_xy ? p.yx : p.xy;\\n float len = switch_xy ? lengths.y : lengths.x;\\n float dist = p.y;\\n float end_dist = end_cap_distance(p, vec2(len, 0.0), vec2(1.0, 0.0), line_cap);\\n return max(dist, end_dist);\\n}\\n#endif\\n\\n#if defined(APPEND_Y) || defined(USE_Y)\\nfloat one_y(in vec2 p, in int line_cap, in float len)\\n{\\n p = vec2(abs(p.x), -p.y);\\n\\n // End point of line to right is (1/2, 1/3)*len*SQRT3.\\n // Unit vector along line is (1/2, 1/3)*k where k = 6/SQRT13.\\n const float k = 6.0/sqrt(13.0);\\n vec2 unit_along = vec2(0.5*k, k/3.0);\\n vec2 end_point = vec2(0.5*len*SQRT3, len*SQRT3/3.0);\\n float dist = max(abs(dot(p, vec2(-unit_along.y, unit_along.x))),\\n end_cap_distance(p, end_point, unit_along, line_cap));\\n\\n if (p.y < 0.0) {\\n // Vertical line.\\n float vert_dist = max(p.x,\\n end_cap_distance(p, vec2(0.0, -len), vec2(0.0, -1.0), line_cap));\\n dist = min(dist, vert_dist);\\n }\\n return dist;\\n}\\n#endif\\n\\n// One marker_distance function per marker type.\\n// Distance is zero on edge of marker, +ve outside and -ve inside.\\n\\n#ifdef USE_ASTERISK\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n vec2 p_diag = vec2((p.x + p.y)/SQRT2, (p.x - p.y)/SQRT2);\\n float len = 0.5*v_size.x;\\n return min(one_cross(p, line_cap, len), // cross\\n one_cross(p_diag, line_cap, len)); // x\\n}\\n#endif\\n\\n#if defined(USE_CIRCLE) || defined(USE_CIRCLE_CROSS) || defined(USE_CIRCLE_DOT) || defined(USE_CIRCLE_X) || defined(USE_CIRCLE_Y)\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n return length(p) - 0.5*v_size.x;\\n}\\n#endif\\n\\n#ifdef USE_CROSS\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n return one_cross(p, line_cap, 0.5*v_size.x);\\n}\\n#endif\\n\\n#ifdef USE_DASH\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n p = abs(p);\\n float dist = p.y;\\n float end_dist = end_cap_distance(p, vec2(0.5*v_size.x, 0.0), vec2(1.0, 0.0), line_cap);\\n return max(dist, end_dist);\\n}\\n#endif\\n\\n#if defined(USE_DIAMOND) || defined(USE_DIAMOND_CROSS) || defined(USE_DIAMOND_DOT)\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n // Only need to consider +ve quadrant, the 2 end points are (2r/3, 0) and (0, r)\\n // where r = radius = v_size.x/2.\\n // Line has outward-facing unit normal vec2(1, 2/3)/k where k = SQRT13/3\\n // hence vec2(3, 2)/SQRT13, and distance from origin of 2r/(3k) = 2r/SQRT13.\\n p = abs(p);\\n float r = 0.5*v_size.x;\\n const float SQRT13 = sqrt(13.0);\\n float dist = dot(p, vec2(3.0, 2.0))/SQRT13 - 2.0*r/SQRT13;\\n\\n if (line_join != miter_join) {\\n dist = max(dist, line_join_distance_no_miter(\\n p, vec2(0.0, r), vec2(0.0, 1.0), v_linewidth/SQRT13, line_join));\\n\\n dist = max(dist, line_join_distance_no_miter(\\n p, vec2(r*2.0/3.0, 0.0), vec2(1.0, 0.0), v_linewidth*(1.5/SQRT13), line_join));\\n }\\n\\n return dist;\\n}\\n#endif\\n\\n#ifdef USE_DOT\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Dot is always appended.\\n return v_linewidth+u_antialias;\\n}\\n#endif\\n\\n#if defined(USE_HEX) || defined(USE_HEX_DOT)\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // A regular hexagon has v_size.x == v.size_y = r where r is the length of\\n // each of the 3 sides of the 6 equilateral triangles that comprise the hex.\\n // Only consider +ve quadrant, the 3 corners are at (0, h), (rx/2, h), (rx, 0)\\n // where rx = 0.5*v_size.x, ry = 0.5*v_size.y and h = ry*SQRT3/2.\\n // Sloping line has outward normal vec2(h, rx/2). Length of this is\\n // len = sqrt(h**2 + rx**2/4) to give unit normal (h, rx/2)/len and distance\\n // from origin of this line is rx*h/len.\\n p = abs(p);\\n float rx = v_size.x/2.0;\\n float h = v_size.y*(SQRT3/4.0);\\n float len_normal = sqrt(h*h + 0.25*rx*rx);\\n vec2 unit_normal = vec2(h, 0.5*rx) / len_normal;\\n float dist = max(dot(p, unit_normal) - rx*h/len_normal, // Distance from sloping line.\\n p.y - h); // Distance from horizontal line.\\n\\n if (line_join != miter_join) {\\n dist = max(dist, line_join_distance_no_miter(\\n p, vec2(rx, 0.0), vec2(1.0, 0.0), 0.5*v_linewidth*unit_normal.x, line_join));\\n\\n unit_normal = normalize(unit_normal + vec2(0.0, 1.0)); // At (rx/2, h) corner.\\n dist = max(dist, line_join_distance_no_miter(\\n p, vec2(0.5*rx, h), unit_normal, 0.5*v_linewidth*unit_normal.y, line_join));\\n }\\n return dist;\\n}\\n#endif\\n\\n#ifdef USE_PLUS\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n // Only need to consider one octant, the +ve quadrant with x >= y.\\n p = abs(p);\\n p = (p.y > p.x) ? p.yx : p.xy;\\n\\n // 3 corners are (r, 0), (r, 3r/8) and (3r/8, 3r/8).\\n float r = 0.5*v_size.x;\\n p = p - vec2(r, 0.375*r); // Distance with respect to outside corner\\n float dist = max(p.x, p.y);\\n\\n if (line_join != miter_join) {\\n // Outside corner\\n dist = max(dist, line_join_distance_no_miter(\\n p, vec2(0.0, 0.0), vec2(1.0/SQRT2, 1.0/SQRT2), v_linewidth/(2.0*SQRT2), line_join));\\n\\n // Inside corner\\n dist = min(dist, -line_join_distance_no_miter(\\n p, vec2(-5.0*r/8.0, 0.0), vec2(-1.0/SQRT2, -1.0/SQRT2), v_linewidth/(2.0*SQRT2), line_join));\\n }\\n\\n return dist;\\n}\\n#endif\\n\\n#if defined(USE_SQUARE) || defined(USE_SQUARE_CROSS) || defined(USE_SQUARE_DOT) || defined(USE_SQUARE_X)\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n vec2 p2 = abs(p) - v_size/2.0; // Offset from corner\\n float dist = max(p2.x, p2.y);\\n\\n if (line_join != miter_join)\\n dist = max(dist, line_join_distance_no_miter(\\n p2, vec2(0.0, 0.0), vec2(1.0/SQRT2, 1.0/SQRT2), v_linewidth/(2.0*SQRT2), line_join));\\n\\n return dist;\\n}\\n#endif\\n\\n#ifdef USE_SQUARE_PIN\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n p = abs(p);\\n p = (p.y > p.x) ? p.yx : p.xy;\\n // p is in octant between y=0 and y=x.\\n // Quadratic bezier curve passes through (r, r), (11r/16, 0) and (r, -r).\\n // Circular arc that passes through the same points has center at\\n // x = r + 231r/160 = 2.44275r and y = 0 and hence radius is\\n // x - 11r/16 = 1.75626 precisely.\\n float r = 0.5*v_size.x;\\n float center_x = r*2.44375;\\n float radius = r*1.75626;\\n float dist = radius - distance(p, vec2(center_x, 0.0));\\n\\n // Magic number is 0.5*sin(atan(8/5) - pi/4)\\n dist = max(dist, line_join_distance_incl_miter(\\n p, vec2(r, r), vec2(1.0/SQRT2, 1.0/SQRT2), v_linewidth*0.1124297533493792, line_join,\\n vec2(8.0/sqrt(89.0), -5.0/sqrt(89.0))));\\n\\n return dist;\\n}\\n#endif\\n\\n#if defined(USE_STAR) || defined(USE_STAR_DOT)\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n const float SQRT5 = sqrt(5.0);\\n const float COS72 = 0.25*(SQRT5 - 1.0);\\n const float SIN72 = sqrt((5.0+SQRT5) / 8.0);\\n\\n float angle = atan(p.x, p.y); // In range -pi to +pi clockwise from +y direction.\\n angle = mod(angle, 0.4*PI) - 0.2*PI; // In range -pi/5 to +pi/5 clockwise from +y direction.\\n p = length(p)*vec2(cos(angle), abs(sin(angle))); // (x,y) in pi/10 (36 degree) sector.\\n\\n // 2 corners are at (r, 0) and (r-a*SIN72, a*COS72) where a = r sqrt(5-2*sqrt(5)).\\n // Line has outward-facing unit normal vec2(COS72, SIN72) and distance from\\n // origin of dot(vec2(r, 0), vec2(COS72, SIN72)) = r*COS72\\n float r = 0.5*v_size.x;\\n float a = r*sqrt(5.0 - 2.0*SQRT5);\\n float dist = dot(p, vec2(COS72, SIN72)) - r*COS72;\\n\\n if (line_join != miter_join) {\\n // Outside corner\\n dist = max(dist, line_join_distance_no_miter(\\n p, vec2(r, 0.0), vec2(1.0, 0.0), v_linewidth*(0.5*COS72), line_join));\\n\\n // Inside corner\\n const float COS36 = sqrt(0.5 + COS72/2.0);\\n const float SIN36 = sqrt(0.5 - COS72/2.0);\\n dist = min(dist, -line_join_distance_no_miter(\\n p, vec2(r-a*SIN72, a*COS72), vec2(-COS36, -SIN36), v_linewidth*(0.5*COS36), line_join));\\n }\\n\\n return dist;\\n}\\n#endif\\n\\n#if defined(USE_TRIANGLE) || defined(USE_TRIANGLE_DOT) || defined(USE_INVERTED_TRIANGLE)\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n // For normal triangle 3 corners are at (-r, a), (r, a), (0, a-h)=(0, -2h/3)\\n // given r = radius = v_size.x/2, h = SQRT3*r, a = h/3.\\n // Sloping line has outward-facing unit normal vec2(h, -r)/2r = vec2(SQRT3, -1)/2\\n // and distance from origin of a. Horizontal line has outward-facing unit normal\\n // vec2(0, 1) and distance from origin of a.\\n float r = 0.5*v_size.x;\\n float a = r*SQRT3/3.0;\\n\\n // Only need to consider +ve x.\\n#ifdef USE_INVERTED_TRIANGLE\\n p = vec2(abs(p.x), -p.y);\\n#else\\n p = vec2(abs(p.x), p.y);\\n#endif\\n\\n float dist = max(0.5*dot(p, vec2(SQRT3, -1.0)) - a, // Distance from sloping line.\\n p.y - a); // Distance from horizontal line.\\n\\n if (line_join != miter_join) {\\n dist = max(dist, line_join_distance_no_miter(\\n p, vec2(0.0, -(2.0/SQRT3)*r), vec2(0.0, -1.0), v_linewidth*0.25, line_join));\\n\\n dist = max(dist, line_join_distance_no_miter(\\n p, vec2(r, a), vec2(SQRT3/2.0, 0.5), v_linewidth*0.25, line_join));\\n }\\n\\n return dist;\\n}\\n#endif\\n\\n#ifdef USE_TRIANGLE_PIN\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n float angle = atan(p.x, -p.y); // In range -pi to +pi.\\n angle = mod(angle, PI*2.0/3.0) - PI/3.0; // In range -pi/3 to pi/3.\\n p = length(p)*vec2(cos(angle), abs(sin(angle))); // (x,y) in range 0 to pi/3.\\n // Quadratic bezier curve passes through (a, r), ((a+b)/2, 0) and (a, -r) where\\n // a = r/SQRT3, b = 3a/8 = r SQRT3/8. Circular arc that passes through the same points has\\n // center at (a+x, 0) and radius x+c where c = (a-b)/2 and x = (r**2 - c**2) / (2c).\\n // Ignore r factor until the end so can use const.\\n const float a = 1.0/SQRT3;\\n const float b = SQRT3/8.0;\\n const float c = (a-b)/2.0;\\n const float x = (1.0 - c*c) / (2.0*c);\\n const float center_x = x + a;\\n const float radius = x + c;\\n float r = 0.5*v_size.x;\\n float dist = r*radius - distance(p, vec2(r*center_x, 0.0));\\n\\n // Magic number is 0.5*sin(atan(8*sqrt(3)/5) - pi/3)\\n dist = max(dist, line_join_distance_incl_miter(\\n p, vec2(a*r, r), vec2(0.5, 0.5*SQRT3), v_linewidth*0.0881844526878324, line_join,\\n vec2(8.0*SQRT3, -5.0)/sqrt(217.0)));\\n\\n return dist;\\n}\\n#endif\\n\\n#ifdef USE_X\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n p = vec2((p.x + p.y)/SQRT2, (p.x - p.y)/SQRT2);\\n return one_cross(p, line_cap, 0.5*v_size.x);\\n}\\n#endif\\n\\n#ifdef USE_Y\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n return one_y(p, line_cap, 0.5*v_size.x);\\n}\\n#endif\\n\\n// Convert distance from edge of marker to fraction in range 0 to 1, depending\\n// on antialiasing width.\\nfloat distance_to_fraction(in float dist)\\n{\\n return 1.0 - smoothstep(-0.5*u_antialias, 0.5*u_antialias, dist);\\n}\\n\\n// Return fraction from 0 (no fill color) to 1 (full fill color).\\nfloat fill_fraction(in float dist)\\n{\\n return distance_to_fraction(dist);\\n}\\n\\n// Return fraction in range 0 (no line color) to 1 (full line color).\\nfloat line_fraction(in float dist)\\n{\\n return distance_to_fraction(abs(dist) - 0.5*v_linewidth);\\n}\\n\\n// Return fraction (in range 0 to 1) of a color, with premultiplied alpha.\\nvec4 fractional_color(in vec4 color, in float fraction)\\n{\\n color.a *= fraction;\\n color.rgb *= color.a;\\n return color;\\n}\\n\\n// Blend colors that have premultiplied alpha.\\nvec4 blend_colors(in vec4 src, in vec4 dest)\\n{\\n return (1.0 - src.a)*dest + src;\\n}\\n\\n#ifdef APPEND_DOT\\nfloat dot_fraction(in vec2 p)\\n{\\n // Assuming v_size.x == v_size.y\\n float radius = 0.125*v_size.x;\\n float dot_distance = max(length(p) - radius, -0.5*u_antialias);\\n return fill_fraction(dot_distance);\\n}\\n#endif\\n\\n#ifdef HATCH\\n// Wrap coordinate(s) by removing integer part to give distance from center of\\n// repeat, in the range -0.5 to +0.5.\\nfloat wrap(in float x)\\n{\\n return fract(x) - 0.5;\\n}\\n\\nvec2 wrap(in vec2 xy)\\n{\\n return fract(xy) - 0.5;\\n}\\n\\n// Return fraction from 0 (no hatch color) to 1 (full hatch color).\\nfloat hatch_fraction(in vec2 coords, in int hatch_pattern)\\n{\\n float scale = v_hatch_scale; // Hatch repeat distance.\\n\\n // Coordinates and linewidth/halfwidth are scaled to hatch repeat distance.\\n coords = coords / scale;\\n float halfwidth = 0.5*v_hatch_weight / scale; // Half the hatch linewidth.\\n\\n // Default is to return fraction of zero, i.e. no pattern.\\n float dist = u_antialias;\\n\\n if (hatch_pattern == hatch_dot) {\\n const float dot_radius = 0.25;\\n dist = length(wrap(coords)) - dot_radius;\\n }\\n else if (hatch_pattern == hatch_ring) {\\n const float ring_radius = 0.25;\\n dist = abs(length(wrap(coords)) - ring_radius) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_horizontal_line) {\\n dist = abs(wrap(coords.y)) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_vertical_line) {\\n dist = abs(wrap(coords.x)) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_cross) {\\n dist = min(abs(wrap(coords.x)), abs(wrap(coords.y))) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_horizontal_dash) {\\n // Dashes have square caps.\\n const float halflength = 0.25;\\n dist = max(abs(wrap(coords.y)),\\n abs(wrap(coords.x) + 0.25) - halflength) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_vertical_dash) {\\n const float halflength = 0.25;\\n dist = max(abs(wrap(coords.x)),\\n abs(wrap(coords.y) + 0.25) - halflength) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_spiral) {\\n vec2 wrap2 = wrap(coords);\\n float angle = wrap(atan(wrap2.y, wrap2.x) / (2.0*PI));\\n // Canvas spiral radius increases by scale*pi/15 each rotation.\\n const float dr = PI/15.0;\\n float radius = length(wrap2);\\n // At any angle, spiral lines are equally spaced dr apart.\\n // Find distance to nearest of these lines.\\n float frac = fract((radius - dr*angle) / dr); // 0 to 1.\\n dist = dr*(abs(frac - 0.5));\\n dist = min(dist, radius) - halfwidth; // Consider center point also.\\n }\\n else if (hatch_pattern == hatch_right_diagonal_line) {\\n dist = abs(wrap(2.0*coords.x + coords.y))/sqrt(5.0) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_left_diagonal_line) {\\n dist = abs(wrap(2.0*coords.x - coords.y))/sqrt(5.0) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_diagonal_cross) {\\n coords = vec2(coords.x + coords.y + 0.5, coords.x - coords.y + 0.5);\\n dist = min(abs(wrap(coords.x)), abs(wrap(coords.y))) / SQRT2 - halfwidth;\\n }\\n else if (hatch_pattern == hatch_right_diagonal_dash) {\\n float across = coords.x + coords.y + 0.5;\\n dist = abs(wrap(across)) / SQRT2; // Distance to nearest solid line.\\n\\n across = floor(across); // Offset for dash.\\n float along = wrap(0.5*(coords.x - coords.y + across));\\n const float halflength = 0.25;\\n along = abs(along) - halflength; // Distance along line.\\n\\n dist = max(dist, along) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_left_diagonal_dash) {\\n float across = coords.x - coords.y + 0.5;\\n dist = abs(wrap(across)) / SQRT2; // Distance to nearest solid line.\\n\\n across = floor(across); // Offset for dash.\\n float along = wrap(0.5*(coords.x + coords.y + across));\\n const float halflength = 0.25;\\n along = abs(along) - halflength; // Distance along line.\\n\\n dist = max(dist, along) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_horizontal_wave) {\\n float wrapx = wrap(coords.x);\\n float wrapy = wrap(coords.y - 0.25 + abs(wrapx));\\n dist = abs(wrapy) / SQRT2 - halfwidth;\\n }\\n else if (hatch_pattern == hatch_vertical_wave) {\\n float wrapy = wrap(coords.y);\\n float wrapx = wrap(coords.x - 0.25 + abs(wrapy));\\n dist = abs(wrapx) / SQRT2 - halfwidth;\\n }\\n else if (hatch_pattern == hatch_criss_cross) {\\n float plus = min(abs(wrap(coords.x)), abs(wrap(coords.y)));\\n\\n coords = vec2(coords.x + coords.y + 0.5, coords.x - coords.y + 0.5);\\n float X = min(abs(wrap(coords.x)), abs(wrap(coords.y))) / SQRT2;\\n\\n dist = min(plus, X) - halfwidth;\\n }\\n\\n return distance_to_fraction(dist*scale);\\n}\\n#endif\\n\\nvoid main()\\n{\\n int line_cap = int(v_line_cap + 0.5);\\n int line_join = int(v_line_join + 0.5);\\n#ifdef HATCH\\n int hatch_pattern = int(v_hatch_pattern + 0.5);\\n#endif\\n\\n float dist = marker_distance(v_coords, line_cap, line_join);\\n\\n#ifdef LINE_ONLY\\n vec4 color = vec4(0.0, 0.0, 0.0, 0.0);\\n#else\\n float fill_frac = fill_fraction(dist);\\n vec4 color = fractional_color(v_fill_color, fill_frac);\\n#endif\\n\\n#if defined(HATCH) && !defined(LINE_ONLY)\\n if (hatch_pattern > 0 && fill_frac > 0.0) {\\n float hatch_frac = hatch_fraction(v_hatch_coords, hatch_pattern);\\n vec4 hatch_color = fractional_color(v_hatch_color, hatch_frac*fill_frac);\\n color = blend_colors(hatch_color, color);\\n }\\n#endif\\n\\n float line_frac = line_fraction(dist);\\n\\n#ifdef APPEND_DOT\\n line_frac = max(line_frac, dot_fraction(v_coords));\\n#endif\\n#ifdef APPEND_CROSS\\n line_frac = max(line_frac, line_fraction(one_cross(v_coords, line_cap, 0.5*v_size.x)));\\n#endif\\n#ifdef APPEND_CROSS_2\\n vec2 lengths = vec2(v_size.x/3.0, v_size.x/2.0);\\n line_frac = max(line_frac, line_fraction(one_cross_2(v_coords, line_cap, lengths)));\\n#endif\\n#ifdef APPEND_X\\n vec2 p = vec2((v_coords.x + v_coords.y)/SQRT2, (v_coords.x - v_coords.y)/SQRT2);\\n line_frac = max(line_frac, line_fraction(one_cross(p, line_cap, APPEND_X_LEN)));\\n#endif\\n#ifdef APPEND_Y\\n line_frac = max(line_frac, line_fraction(one_y(v_coords, line_cap, 0.5*v_size.x)));\\n#endif\\n\\n if (line_frac > 0.0) {\\n vec4 line_color = fractional_color(v_line_color, line_frac);\\n color = blend_colors(line_color, color);\\n }\\n\\n gl_FragColor = color;\\n}\\n\"},\n 419: function _(t,_,i,h,e){h();const s=t(420),a=t(421),r=t(422);class l extends s.BaseGLGlyph{constructor(t,_){super(t,_),this.glyph=_,this._antialias=1.5,this._show_all=!1}_draw_one_marker_type(t,_,i){const h={scissor:this.regl_wrapper.scissor,viewport:this.regl_wrapper.viewport,canvas_size:[_.width,_.height],pixel_ratio:_.pixel_ratio,center:i._centers,width:i._widths,height:i._heights,angle:i._angles,size_hint:(0,r.marker_type_to_size_hint)(t),nmarkers:i.nvertices,antialias:this._antialias,linewidth:this._linewidths,line_color:this._line_rgba,fill_color:this._fill_rgba,line_cap:this._line_caps,line_join:this._line_joins,show:this._show};if(this._have_hatch){const _=Object.assign(Object.assign({},h),{hatch_pattern:this._hatch_patterns,hatch_scale:this._hatch_scales,hatch_weight:this._hatch_weights,hatch_color:this._hatch_rgba});this.regl_wrapper.marker_hatch(t)(_)}else this.regl_wrapper.marker_no_hatch(t)(h)}_set_visuals(){const t=this._get_visuals(),_=t.fill,i=t.line;if(null==this._linewidths&&(this._linewidths=new a.Float32Buffer(this.regl_wrapper),this._line_caps=new a.Uint8Buffer(this.regl_wrapper),this._line_joins=new a.Uint8Buffer(this.regl_wrapper),this._line_rgba=new a.NormalizedUint8Buffer(this.regl_wrapper),this._fill_rgba=new a.NormalizedUint8Buffer(this.regl_wrapper)),this._linewidths.set_from_prop(i.line_width),this._line_caps.set_from_line_cap(i.line_cap),this._line_joins.set_from_line_join(i.line_join),this._line_rgba.set_from_color(i.line_color,i.line_alpha),this._fill_rgba.set_from_color(_.fill_color,_.fill_alpha),this._have_hatch=t.hatch.doit,this._have_hatch){const _=t.hatch;null==this._hatch_patterns&&(this._hatch_patterns=new a.Uint8Buffer(this.regl_wrapper),this._hatch_scales=new a.Float32Buffer(this.regl_wrapper),this._hatch_weights=new a.Float32Buffer(this.regl_wrapper),this._hatch_rgba=new a.NormalizedUint8Buffer(this.regl_wrapper)),this._hatch_patterns.set_from_hatch_pattern(_.hatch_pattern),this._hatch_scales.set_from_prop(_.hatch_scale),this._hatch_weights.set_from_prop(_.hatch_weight),this._hatch_rgba.set_from_color(_.hatch_color,_.hatch_alpha)}}}i.BaseMarkerGL=l,l.__name__=\"BaseMarkerGL\",l.missing_point=-1e4},\n 420: function _(e,t,s,i,h){i();class a{constructor(e,t){this.glyph=t,this.nvertices=0,this.size_changed=!1,this.data_changed=!1,this.visuals_changed=!1,this.regl_wrapper=e}set_data_changed(){const{data_size:e}=this.glyph;e!=this.nvertices&&(this.nvertices=e,this.size_changed=!0),this.data_changed=!0}set_visuals_changed(){this.visuals_changed=!0}render(e,t,s){if(0==t.length)return!0;const{width:i,height:h}=this.glyph.renderer.plot_view.canvas_view.webgl.canvas,a={pixel_ratio:this.glyph.renderer.plot_view.canvas_view.pixel_ratio,width:i,height:h};return this.draw(t,s,a),!0}}s.BaseGLGlyph=a,a.__name__=\"BaseGLGlyph\"},\n 421: function _(r,t,a,e,s){e();const i=r(422),_=r(22);class n{constructor(r){this.regl_wrapper=r,this.is_scalar=!0}get_sized_array(r){return null!=this.array&&this.array.length==r||(this.array=this.new_array(r)),this.array}is_normalized(){return!1}get length(){return null!=this.array?this.array.length:0}set_from_array(r){const t=r.length,a=this.get_sized_array(t);for(let e=0;e0}_set_data(){const s=this.glyph.sx.length,i=s-1;this._is_closed=s>2&&this.glyph.sx[0]==this.glyph.sx[s-1]&&this.glyph.sy[0]==this.glyph.sy[s-1]&&isFinite(this.glyph.sx[0])&&isFinite(this.glyph.sy[0]),null==this._points&&(this._points=new o.Float32Buffer(this.regl_wrapper));const t=this._points.get_sized_array(2*(s+2));for(let i=1;is/255)),this._linewidth=s.line_width.value,this._linewidth<1&&(this._color[3]*=this._linewidth,this._linewidth=1),this._line_dash=(0,a.resolve_line_dash)(s.line_dash.value),this._is_dashed()&&([this._dash_tex_info,this._dash_tex,this._dash_scale]=this.regl_wrapper.get_dash(this._line_dash),this._dash_offset=s.line_dash_offset.value)}}t.LineGL=r,r.__name__=\"LineGL\"},\n 427: function _(s,t,i,e,r){e();const h=s(421),a=s(424);class n extends a.SingleMarkerGL{constructor(s,t){super(s,t),this.glyph=t}draw(s,t,i){this._draw_impl(s,i,t.glglyph,\"square\")}_get_visuals(){return this.glyph.visuals}_set_data(){const s=this.nvertices;null==this._centers&&(this._centers=new h.Float32Buffer(this.regl_wrapper),this._widths=new h.Float32Buffer(this.regl_wrapper),this._heights=new h.Float32Buffer(this.regl_wrapper),this._angles=new h.Float32Buffer(this.regl_wrapper),this._angles.set_from_scalar(0));const t=this._centers.get_sized_array(2*s),i=this._heights.get_sized_array(s),e=this._widths.get_sized_array(s);for(let r=0;r1||s.length<_){this._show_all=!1,n.fill(0),r=0;for(const e of s)1!=h&&i._marker_types.get(e)!=t||(n[e]=255,r++)}else this._show_all&&a==_||(this._show_all=!0,n.fill(255));this._show.update(),0!=r&&this._draw_one_marker_type(t,e,i)}}_get_visuals(){return this.glyph.visuals}_set_data(){const s=this.nvertices;null==this._centers&&(this._centers=new r.Float32Buffer(this.regl_wrapper),this._widths=new r.Float32Buffer(this.regl_wrapper),this._heights=this._widths,this._angles=new r.Float32Buffer(this.regl_wrapper));const t=this._centers.get_sized_array(2*s);for(let e=0;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 442: function _(t,e,o,s,n){s();const i=t(512),l=t(43);class c extends i.WidgetView{connect_signals(){super.connect_signals();const t=this.model.properties;this.on_change(t.disabled,(()=>{for(const t of this.controls())(0,l.toggle_attribute)(t,\"disabled\",this.model.disabled)}))}}o.ControlView=c,c.__name__=\"ControlView\";class r extends i.Widget{constructor(t){super(t)}}o.Control=r,r.__name__=\"Control\"},\n 512: function _(i,e,t,n,o){var r;n();const s=i(312);class _ extends s.HTMLBoxView{get orientation(){return\"horizontal\"}get default_size(){return this.model.default_size}_width_policy(){return\"horizontal\"==this.orientation?super._width_policy():\"fixed\"}_height_policy(){return\"horizontal\"==this.orientation?\"fixed\":super._height_policy()}box_sizing(){const i=super.box_sizing();return\"horizontal\"==this.orientation?null==i.width&&(i.width=this.default_size):null==i.height&&(i.height=this.default_size),i}}t.WidgetView=_,_.__name__=\"WidgetView\";class h extends s.HTMLBox{constructor(i){super(i)}}t.Widget=h,r=h,h.__name__=\"Widget\",r.define((({Number:i})=>({default_size:[i,300]}))),r.override({margin:[5,5,5,5]})},\n 444: function _(c,t,s,n,e){n();const o=c(53),_=c(226);class a extends _.DOMView{}s.AbstractIconView=a,a.__name__=\"AbstractIconView\";class r extends o.Model{constructor(c){super(c)}}s.AbstractIcon=r,r.__name__=\"AbstractIcon\"},\n 445: function _(e,t,n,s,i){s();const h=e(1);var o;const _=e(446),u=e(43),r=e(10),c=(0,h.__importStar)(e(229)),a=c;class l extends _.TextInputView{constructor(){super(...arguments),this._open=!1,this._last_value=\"\",this._hover_index=0}styles(){return[...super.styles(),c.default]}render(){super.render(),this.input_el.addEventListener(\"keydown\",(e=>this._keydown(e))),this.input_el.addEventListener(\"keyup\",(e=>this._keyup(e))),this.menu=(0,u.div)({class:[a.menu,a.below]}),this.menu.addEventListener(\"click\",(e=>this._menu_click(e))),this.menu.addEventListener(\"mouseover\",(e=>this._menu_hover(e))),this.el.appendChild(this.menu),(0,u.undisplay)(this.menu)}change_input(){this._open&&this.menu.children.length>0?(this.model.value=this.menu.children[this._hover_index].textContent,this.input_el.focus(),this._hide_menu()):this.model.restrict||super.change_input()}_update_completions(e){(0,u.empty)(this.menu);for(const t of e){const e=(0,u.div)(t);this.menu.appendChild(e)}e.length>0&&this.menu.children[0].classList.add(a.active)}_show_menu(){if(!this._open){this._open=!0,this._hover_index=0,this._last_value=this.model.value,(0,u.display)(this.menu);const e=t=>{const{target:n}=t;n instanceof HTMLElement&&!this.el.contains(n)&&(document.removeEventListener(\"click\",e),this._hide_menu())};document.addEventListener(\"click\",e)}}_hide_menu(){this._open&&(this._open=!1,(0,u.undisplay)(this.menu))}_menu_click(e){e.target!=e.currentTarget&&e.target instanceof Element&&(this.model.value=e.target.textContent,this.input_el.focus(),this._hide_menu())}_menu_hover(e){if(e.target!=e.currentTarget&&e.target instanceof Element){let t=0;for(t=0;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 446: function _(t,e,n,p,_){p();const u=t(1);var i;const s=t(447),r=t(43),x=(0,u.__importStar)(t(449));class a extends s.TextLikeInputView{_render_input(){this.input_el=(0,r.input)({type:\"text\",class:x.input})}}n.TextInputView=a,a.__name__=\"TextInputView\";class c extends s.TextLikeInput{constructor(t){super(t)}}n.TextInput=c,i=c,c.__name__=\"TextInput\",i.prototype.default_view=a},\n 447: function _(e,t,n,i,l){var s;i();const h=e(448);class a extends h.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,(()=>{var e;return this.input_el.name=null!==(e=this.model.name)&&void 0!==e?e:\"\"})),this.connect(this.model.properties.value.change,(()=>this.input_el.value=this.model.value)),this.connect(this.model.properties.value_input.change,(()=>this.input_el.value=this.model.value_input)),this.connect(this.model.properties.disabled.change,(()=>this.input_el.disabled=this.model.disabled)),this.connect(this.model.properties.placeholder.change,(()=>this.input_el.placeholder=this.model.placeholder)),this.connect(this.model.properties.max_length.change,(()=>{const{max_length:e}=this.model;null!=e?this.input_el.maxLength=e:this.input_el.removeAttribute(\"maxLength\")}))}render(){var e;super.render(),this._render_input();const{input_el:t}=this;t.name=null!==(e=this.model.name)&&void 0!==e?e:\"\",t.value=this.model.value,t.disabled=this.model.disabled,t.placeholder=this.model.placeholder,null!=this.model.max_length&&(t.maxLength=this.model.max_length),t.addEventListener(\"change\",(()=>this.change_input())),t.addEventListener(\"input\",(()=>this.change_input_value())),this.group_el.appendChild(t)}change_input(){this.model.value=this.input_el.value,super.change_input()}change_input_value(){this.model.value_input=this.input_el.value,super.change_input()}}n.TextLikeInputView=a,a.__name__=\"TextLikeInputView\";class u extends h.InputWidget{constructor(e){super(e)}}n.TextLikeInput=u,s=u,u.__name__=\"TextLikeInput\",s.define((({Int:e,String:t,Nullable:n})=>({value:[t,\"\"],value_input:[t,\"\"],placeholder:[t,\"\"],max_length:[n(e),null]})))},\n 448: function _(e,t,n,s,l){s();const i=e(1);var o;const r=e(442),_=e(43),p=(0,i.__importStar)(e(449)),a=p;class c extends r.ControlView{*controls(){yield this.input_el}connect_signals(){super.connect_signals(),this.connect(this.model.properties.title.change,(()=>{this.label_el.textContent=this.model.title}))}styles(){return[...super.styles(),p.default]}render(){super.render();const{title:e}=this.model;this.label_el=(0,_.label)({style:{display:0==e.length?\"none\":\"\"}},e),this.group_el=(0,_.div)({class:a.input_group},this.label_el),this.el.appendChild(this.group_el)}change_input(){}}n.InputWidgetView=c,c.__name__=\"InputWidgetView\";class d extends r.Control{constructor(e){super(e)}}n.InputWidget=d,o=d,d.__name__=\"InputWidget\",o.define((({String:e})=>({title:[e,\"\"]})))},\n 449: function _(o,p,t,n,i){n(),t.root=\"bk-root\",t.input=\"bk-input\",t.input_group=\"bk-input-group\",t.inline=\"bk-inline\",t.spin_wrapper=\"bk-spin-wrapper\",t.spin_btn=\"bk-spin-btn\",t.spin_btn_up=\"bk-spin-btn-up\",t.spin_btn_down=\"bk-spin-btn-down\",t.default='.bk-root .bk-input{display:inline-block;width:100%;flex-grow:1;min-height:31px;padding:0 12px;background-color:#fff;border:1px solid #ccc;border-radius:4px;}.bk-root .bk-input:focus{border-color:#66afe9;outline:0;box-shadow:inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 8px rgba(102, 175, 233, 0.6);}.bk-root .bk-input::placeholder,.bk-root .bk-input:-ms-input-placeholder,.bk-root .bk-input::-moz-placeholder,.bk-root .bk-input::-webkit-input-placeholder{color:#999;opacity:1;}.bk-root .bk-input[disabled]{cursor:not-allowed;background-color:#eee;opacity:1;}.bk-root select:not([multiple]).bk-input,.bk-root select:not([size]).bk-input{height:auto;appearance:none;-webkit-appearance:none;background-image:url(\\'data:image/svg+xml;utf8,\\');background-position:right 0.5em center;background-size:8px 6px;background-repeat:no-repeat;}.bk-root select[multiple].bk-input,.bk-root select[size].bk-input,.bk-root textarea.bk-input{height:auto;}.bk-root .bk-input-group{width:100%;height:100%;display:inline-flex;flex-wrap:nowrap;align-items:start;flex-direction:column;white-space:nowrap;}.bk-root .bk-input-group.bk-inline{flex-direction:row;}.bk-root .bk-input-group.bk-inline > *:not(:first-child){margin-left:5px;}.bk-root .bk-input-group input[type=\"checkbox\"] + span,.bk-root .bk-input-group input[type=\"radio\"] + span{position:relative;top:-2px;margin-left:3px;}.bk-root .bk-input-group > .bk-spin-wrapper{display:inherit;width:inherit;height:inherit;position:relative;overflow:hidden;padding:0;vertical-align:middle;}.bk-root .bk-input-group > .bk-spin-wrapper input{padding-right:20px;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn{position:absolute;display:block;height:50%;min-height:0;min-width:0;width:30px;padding:0;margin:0;right:0;border:none;background:none;cursor:pointer;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn:before{content:\"\";display:inline-block;transform:translateY(-50%);border-left:5px solid transparent;border-right:5px solid transparent;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-up{top:0;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-up:before{border-bottom:5px solid black;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-up:disabled:before{border-bottom-color:grey;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-down{bottom:0;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-down:before{border-top:5px solid black;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-down:disabled:before{border-top-color:grey;}'},\n 450: function _(t,e,n,o,c){var s;o();const u=t(441),r=t(251);class i extends u.AbstractButtonView{click(){this.model.trigger_event(new r.ButtonClick),super.click()}}n.ButtonView=i,i.__name__=\"ButtonView\";class _ extends u.AbstractButton{constructor(t){super(t)}}n.Button=_,s=_,_.__name__=\"Button\",s.prototype.default_view=i,s.override({label:\"Button\"})},\n 451: function _(t,e,o,c,a){c();const s=t(1);var n;const i=t(452),r=t(43),u=(0,s.__importStar)(t(318));class _ extends i.ButtonGroupView{get active(){return new Set(this.model.active)}change_active(t){const{active:e}=this;e.has(t)?e.delete(t):e.add(t),this.model.active=[...e].sort()}_update_active(){const{active:t}=this;this._buttons.forEach(((e,o)=>{(0,r.classes)(e).toggle(u.active,t.has(o))}))}}o.CheckboxButtonGroupView=_,_.__name__=\"CheckboxButtonGroupView\";class h extends i.ButtonGroup{constructor(t){super(t)}}o.CheckboxButtonGroup=h,n=h,h.__name__=\"CheckboxButtonGroup\",n.prototype.default_view=_,n.define((({Int:t,Array:e})=>({active:[e(t),[]]})))},\n 452: function _(t,e,n,s,i){s();const o=t(1);var r;const a=t(453),l=t(20),d=t(43),u=(0,o.__importStar)(t(318)),_=u;class c extends a.OrientedControlView{get default_size(){return\"horizontal\"==this.orientation?this.model.default_size:void 0}*controls(){yield*this._buttons}connect_signals(){super.connect_signals();const t=this.model.properties;this.on_change(t.button_type,(()=>this.render())),this.on_change(t.labels,(()=>this.render())),this.on_change(t.active,(()=>this._update_active()))}styles(){return[...super.styles(),u.default]}render(){super.render(),this._buttons=this.model.labels.map(((t,e)=>{const n=(0,d.div)({class:[_.btn,_[`btn_${this.model.button_type}`]],disabled:this.model.disabled},t);return n.addEventListener(\"click\",(()=>this.change_active(e))),n})),this._update_active();const t=\"horizontal\"==this.model.orientation?_.horizontal:_.vertical,e=(0,d.div)({class:[_.btn_group,t]},this._buttons);this.el.appendChild(e)}}n.ButtonGroupView=c,c.__name__=\"ButtonGroupView\";class h extends a.OrientedControl{constructor(t){super(t)}}n.ButtonGroup=h,r=h,h.__name__=\"ButtonGroup\",r.define((({String:t,Array:e})=>({labels:[e(t),[]],button_type:[l.ButtonType,\"default\"]})))},\n 453: function _(n,t,e,o,r){var i;o();const a=n(442),l=n(20);class s extends a.ControlView{get orientation(){return this.model.orientation}}e.OrientedControlView=s,s.__name__=\"OrientedControlView\";class _ extends a.Control{constructor(n){super(n)}}e.OrientedControl=_,i=_,_.__name__=\"OrientedControl\",i.define((()=>({orientation:[l.Orientation,\"horizontal\"]})))},\n 454: function _(e,t,n,i,s){i();const o=e(1);var a;const c=e(455),l=e(43),d=e(9),p=(0,o.__importStar)(e(449));class r extends c.InputGroupView{render(){super.render();const e=(0,l.div)({class:[p.input_group,this.model.inline?p.inline:null]});this.el.appendChild(e);const{active:t,labels:n}=this.model;this._inputs=[];for(let i=0;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 455: function _(n,t,e,s,o){s();const r=n(1),u=n(442),c=(0,r.__importDefault)(n(449));class _ extends u.ControlView{*controls(){yield*this._inputs}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.render()))}styles(){return[...super.styles(),c.default]}}e.InputGroupView=_,_.__name__=\"InputGroupView\";class i extends u.Control{constructor(n){super(n)}}e.InputGroup=i,i.__name__=\"InputGroup\"},\n 456: function _(e,t,i,n,o){n();const s=e(1);var l;const r=e(448),c=e(43),a=e(22),d=(0,s.__importStar)(e(449));class h extends r.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,(()=>{var e;return this.input_el.name=null!==(e=this.model.name)&&void 0!==e?e:\"\"})),this.connect(this.model.properties.color.change,(()=>this.input_el.value=(0,a.color2hexrgb)(this.model.color))),this.connect(this.model.properties.disabled.change,(()=>this.input_el.disabled=this.model.disabled))}render(){super.render(),this.input_el=(0,c.input)({type:\"color\",class:d.input,name:this.model.name,value:this.model.color,disabled:this.model.disabled}),this.input_el.addEventListener(\"change\",(()=>this.change_input())),this.group_el.appendChild(this.input_el)}change_input(){this.model.color=this.input_el.value,super.change_input()}}i.ColorPickerView=h,h.__name__=\"ColorPickerView\";class p extends r.InputWidget{constructor(e){super(e)}}i.ColorPicker=p,l=p,p.__name__=\"ColorPicker\",l.prototype.default_view=h,l.define((({Color:e})=>({color:[e,\"#000000\"]})))},\n 457: function _(e,t,i,n,s){n();const a=e(1);var l;const o=(0,a.__importDefault)(e(458)),d=e(448),r=e(43),c=e(20),u=e(8),h=(0,a.__importStar)(e(449)),_=(0,a.__importDefault)(e(459));function p(e){const t=[];for(const i of e)if((0,u.isString)(i))t.push(i);else{const[e,n]=i;t.push({from:e,to:n})}return t}class m extends d.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,min_date:t,max_date:i,disabled_dates:n,enabled_dates:s,position:a,inline:l}=this.model.properties;this.connect(e.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.setDate(this.model.value)})),this.connect(t.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"minDate\",this.model.min_date)})),this.connect(i.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"maxDate\",this.model.max_date)})),this.connect(n.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"disable\",this.model.disabled_dates)})),this.connect(s.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"enable\",this.model.enabled_dates)})),this.connect(a.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"position\",this.model.position)})),this.connect(l.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"inline\",this.model.inline)}))}remove(){var e;null===(e=this._picker)||void 0===e||e.destroy(),super.remove()}styles(){return[...super.styles(),_.default]}render(){var e,t;null==this._picker&&(super.render(),this.input_el=(0,r.input)({type:\"text\",class:h.input,disabled:this.model.disabled}),this.group_el.appendChild(this.input_el),this._picker=(0,o.default)(this.input_el,{defaultDate:this.model.value,minDate:null!==(e=this.model.min_date)&&void 0!==e?e:void 0,maxDate:null!==(t=this.model.max_date)&&void 0!==t?t:void 0,inline:this.model.inline,position:this.model.position,disable:p(this.model.disabled_dates),enable:p(this.model.enabled_dates),onChange:(e,t,i)=>this._on_change(e,t,i)}))}_on_change(e,t,i){this.model.value=t,this.change_input()}}i.DatePickerView=m,m.__name__=\"DatePickerView\";class v extends d.InputWidget{constructor(e){super(e)}}i.DatePicker=v,l=v,v.__name__=\"DatePicker\",l.prototype.default_view=m,l.define((({Boolean:e,String:t,Array:i,Tuple:n,Or:s,Nullable:a})=>{const l=i(s(t,n(t,t)));return{value:[t],min_date:[a(t),null],max_date:[a(t),null],disabled_dates:[l,[]],enabled_dates:[l,[]],position:[c.CalendarPosition,\"auto\"],inline:[e,!1]}}))},\n 458: function _(e,n,t,a,i){\n /* flatpickr v4.6.6, @license MIT */var o,r;o=this,r=function(){\"use strict\";\n /*! *****************************************************************************\n Copyright (c) Microsoft Corporation.\n \n Permission to use, copy, modify, and/or distribute this software for any\n purpose with or without fee is hereby granted.\n \n THE SOFTWARE IS PROVIDED \"AS IS\" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH\n REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY\n AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,\n INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM\n LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR\n OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR\n PERFORMANCE OF THIS SOFTWARE.\n ***************************************************************************** */var e=function(){return e=Object.assign||function(e){for(var n,t=1,a=arguments.length;t\",noCalendar:!1,now:new Date,onChange:[],onClose:[],onDayCreate:[],onDestroy:[],onKeyDown:[],onMonthChange:[],onOpen:[],onParseConfig:[],onReady:[],onValueUpdate:[],onYearChange:[],onPreCalendarPosition:[],plugins:[],position:\"auto\",positionElement:void 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0,!0).getTime(),a=Math.min(n,w.selectedDates[0].getTime()),i=Math.max(n,w.selectedDates[0].getTime()),o=!1,r=0,l=0,c=a;ca&&cr)?r=c:c>t&&(!l||c0&&m0&&m>l;return g?(f.classList.add(\"notAllowed\"),[\"inRange\",\"startRange\",\"endRange\"].forEach((function(e){f.classList.remove(e)})),\"continue\"):o&&!g?\"continue\":([\"startRange\",\"inRange\",\"endRange\",\"notAllowed\"].forEach((function(e){f.classList.remove(e)})),void(void 0!==e&&(e.classList.add(n<=w.selectedDates[0].getTime()?\"startRange\":\"endRange\"),tn&&m===t&&f.classList.add(\"endRange\"),m>=r&&(0===l||m<=l)&&(d=t,u=n,(c=m)>Math.min(d,u)&&c0||t.getMinutes()>0||t.getSeconds()>0),w.selectedDates&&(w.selectedDates=w.selectedDates.filter((function(e){return X(e)})),w.selectedDates.length||\"min\"!==e||S(t),be()),w.daysContainer&&(de(),void 0!==t?w.currentYearElement[e]=t.getFullYear().toString():w.currentYearElement.removeAttribute(e),w.currentYearElement.disabled=!!a&&void 0!==t&&a.getFullYear()===t.getFullYear())}}function re(){return w.config.wrap?p.querySelector(\"[data-input]\"):p}function le(){\"object\"!=typeof w.config.locale&&void 0===k.l10ns[w.config.locale]&&w.config.errorHandler(new Error(\"flatpickr: invalid locale \"+w.config.locale)),w.l10n=e(e({},k.l10ns.default),\"object\"==typeof w.config.locale?w.config.locale:\"default\"!==w.config.locale?k.l10ns[w.config.locale]:void 0),D.K=\"(\"+w.l10n.amPM[0]+\"|\"+w.l10n.amPM[1]+\"|\"+w.l10n.amPM[0].toLowerCase()+\"|\"+w.l10n.amPM[1].toLowerCase()+\")\",void 0===e(e({},v),JSON.parse(JSON.stringify(p.dataset||{}))).time_24hr&&void 0===k.defaultConfig.time_24hr&&(w.config.time_24hr=w.l10n.time_24hr),w.formatDate=b(w),w.parseDate=C({config:w.config,l10n:w.l10n})}function ce(e){if(void 0!==w.calendarContainer){pe(\"onPreCalendarPosition\");var n=e||w._positionElement,t=Array.prototype.reduce.call(w.calendarContainer.children,(function(e,n){return e+n.offsetHeight}),0),a=w.calendarContainer.offsetWidth,i=w.config.position.split(\" \"),o=i[0],r=i.length>1?i[1]:null,l=n.getBoundingClientRect(),c=window.innerHeight-l.bottom,s=\"above\"===o||\"below\"!==o&&ct,u=window.pageYOffset+l.top+(s?-t-2:n.offsetHeight+2);if(d(w.calendarContainer,\"arrowTop\",!s),d(w.calendarContainer,\"arrowBottom\",s),!w.config.inline){var f=window.pageXOffset+l.left,m=!1,g=!1;\"center\"===r?(f-=(a-l.width)/2,m=!0):\"right\"===r&&(f-=a-l.width,g=!0),d(w.calendarContainer,\"arrowLeft\",!m&&!g),d(w.calendarContainer,\"arrowCenter\",m),d(w.calendarContainer,\"arrowRight\",g);var p=window.document.body.offsetWidth-(window.pageXOffset+l.right),h=f+a>window.document.body.offsetWidth,v=p+a>window.document.body.offsetWidth;if(d(w.calendarContainer,\"rightMost\",h),!w.config.static)if(w.calendarContainer.style.top=u+\"px\",h)if(v){var D=function(){for(var e=null,n=0;nw.currentMonth+w.config.showMonths-1)&&\"range\"!==w.config.mode;if(w.selectedDateElem=t,\"single\"===w.config.mode)w.selectedDates=[a];else if(\"multiple\"===w.config.mode){var o=ve(a);o?w.selectedDates.splice(parseInt(o),1):w.selectedDates.push(a)}else\"range\"===w.config.mode&&(2===w.selectedDates.length&&w.clear(!1,!1),w.latestSelectedDateObj=a,w.selectedDates.push(a),0!==M(a,w.selectedDates[0],!0)&&w.selectedDates.sort((function(e,n){return e.getTime()-n.getTime()})));if(I(),i){var r=w.currentYear!==a.getFullYear();w.currentYear=a.getFullYear(),w.currentMonth=a.getMonth(),r&&(pe(\"onYearChange\"),K()),pe(\"onMonthChange\")}if(De(),J(),be(),i||\"range\"===w.config.mode||1!==w.config.showMonths?void 0!==w.selectedDateElem&&void 0===w.hourElement&&w.selectedDateElem&&w.selectedDateElem.focus():L(t),void 0!==w.hourElement&&void 0!==w.hourElement&&w.hourElement.focus(),w.config.closeOnSelect){var l=\"single\"===w.config.mode&&!w.config.enableTime,c=\"range\"===w.config.mode&&2===w.selectedDates.length&&!w.config.enableTime;(l||c)&&se()}A()}}w.parseDate=C({config:w.config,l10n:w.l10n}),w._handlers=[],w.pluginElements=[],w.loadedPlugins=[],w._bind=N,w._setHoursFromDate=S,w._positionCalendar=ce,w.changeMonth=G,w.changeYear=Q,w.clear=function(e,n){if(void 0===e&&(e=!0),void 0===n&&(n=!0),w.input.value=\"\",void 0!==w.altInput&&(w.altInput.value=\"\"),void 0!==w.mobileInput&&(w.mobileInput.value=\"\"),w.selectedDates=[],w.latestSelectedDateObj=void 0,!0===n&&(w.currentYear=w._initialDate.getFullYear(),w.currentMonth=w._initialDate.getMonth()),!0===w.config.enableTime){var t=_(),a=t.hours,i=t.minutes,o=t.seconds;O(a,i,o)}w.redraw(),e&&pe(\"onChange\")},w.close=function(){w.isOpen=!1,w.isMobile||(void 0!==w.calendarContainer&&w.calendarContainer.classList.remove(\"open\"),void 0!==w._input&&w._input.classList.remove(\"active\")),pe(\"onClose\")},w._createElement=s,w.destroy=function(){void 0!==w.config&&pe(\"onDestroy\");for(var e=w._handlers.length;e--;){var n=w._handlers[e];n.element.removeEventListener(n.event,n.handler,n.options)}if(w._handlers=[],w.mobileInput)w.mobileInput.parentNode&&w.mobileInput.parentNode.removeChild(w.mobileInput),w.mobileInput=void 0;else if(w.calendarContainer&&w.calendarContainer.parentNode)if(w.config.static&&w.calendarContainer.parentNode){var t=w.calendarContainer.parentNode;if(t.lastChild&&t.removeChild(t.lastChild),t.parentNode){for(;t.firstChild;)t.parentNode.insertBefore(t.firstChild,t);t.parentNode.removeChild(t)}}else w.calendarContainer.parentNode.removeChild(w.calendarContainer);w.altInput&&(w.input.type=\"text\",w.altInput.parentNode&&w.altInput.parentNode.removeChild(w.altInput),delete w.altInput),w.input&&(w.input.type=w.input._type,w.input.classList.remove(\"flatpickr-input\"),w.input.removeAttribute(\"readonly\")),[\"_showTimeInput\",\"latestSelectedDateObj\",\"_hideNextMonthArrow\",\"_hidePrevMonthArrow\",\"__hideNextMonthArrow\",\"__hidePrevMonthArrow\",\"isMobile\",\"isOpen\",\"selectedDateElem\",\"minDateHasTime\",\"maxDateHasTime\",\"days\",\"daysContainer\",\"_input\",\"_positionElement\",\"innerContainer\",\"rContainer\",\"monthNav\",\"todayDateElem\",\"calendarContainer\",\"weekdayContainer\",\"prevMonthNav\",\"nextMonthNav\",\"monthsDropdownContainer\",\"currentMonthElement\",\"currentYearElement\",\"navigationCurrentMonth\",\"selectedDateElem\",\"config\"].forEach((function(e){try{delete w[e]}catch(e){}}))},w.isEnabled=X,w.jumpToDate=P,w.open=function(e,n){if(void 0===n&&(n=w._positionElement),!0===w.isMobile){if(e){e.preventDefault();var t=g(e);t&&t.blur()}return void 0!==w.mobileInput&&(w.mobileInput.focus(),w.mobileInput.click()),void pe(\"onOpen\")}if(!w._input.disabled&&!w.config.inline){var a=w.isOpen;w.isOpen=!0,a||(w.calendarContainer.classList.add(\"open\"),w._input.classList.add(\"active\"),pe(\"onOpen\"),ce(n)),!0===w.config.enableTime&&!0===w.config.noCalendar&&(!1!==w.config.allowInput||void 0!==e&&w.timeContainer.contains(e.relatedTarget)||setTimeout((function(){return w.hourElement.select()}),50))}},w.redraw=de,w.set=function(e,n){if(null!==e&&\"object\"==typeof e)for(var a in Object.assign(w.config,e),e)void 0!==fe[a]&&fe[a].forEach((function(e){return e()}));else w.config[e]=n,void 0!==fe[e]?fe[e].forEach((function(e){return e()})):t.indexOf(e)>-1&&(w.config[e]=c(n));w.redraw(),be(!0)},w.setDate=function(e,n,t){if(void 0===n&&(n=!1),void 0===t&&(t=w.config.dateFormat),0!==e&&!e||e instanceof Array&&0===e.length)return w.clear(n);me(e,t),w.latestSelectedDateObj=w.selectedDates[w.selectedDates.length-1],w.redraw(),P(void 0,n),S(),0===w.selectedDates.length&&w.clear(!1),be(n),n&&pe(\"onChange\")},w.toggle=function(e){if(!0===w.isOpen)return w.close();w.open(e)};var fe={locale:[le,z],showMonths:[q,E,$],minDate:[P],maxDate:[P]};function me(e,n){var t=[];if(e instanceof Array)t=e.map((function(e){return w.parseDate(e,n)}));else if(e instanceof Date||\"number\"==typeof e)t=[w.parseDate(e,n)];else if(\"string\"==typeof e)switch(w.config.mode){case\"single\":case\"time\":t=[w.parseDate(e,n)];break;case\"multiple\":t=e.split(w.config.conjunction).map((function(e){return w.parseDate(e,n)}));break;case\"range\":t=e.split(w.l10n.rangeSeparator).map((function(e){return w.parseDate(e,n)}))}else w.config.errorHandler(new Error(\"Invalid date supplied: \"+JSON.stringify(e)));w.selectedDates=w.config.allowInvalidPreload?t:t.filter((function(e){return e instanceof Date&&X(e,!1)})),\"range\"===w.config.mode&&w.selectedDates.sort((function(e,n){return e.getTime()-n.getTime()}))}function ge(e){return e.slice().map((function(e){return\"string\"==typeof e||\"number\"==typeof e||e instanceof Date?w.parseDate(e,void 0,!0):e&&\"object\"==typeof e&&e.from&&e.to?{from:w.parseDate(e.from,void 0),to:w.parseDate(e.to,void 0)}:e})).filter((function(e){return e}))}function pe(e,n){if(void 0!==w.config){var t=w.config[e];if(void 0!==t&&t.length>0)for(var a=0;t[a]&&a1||\"static\"===w.config.monthSelectorType?w.monthElements[n].textContent=h(t.getMonth(),w.config.shorthandCurrentMonth,w.l10n)+\" \":w.monthsDropdownContainer.value=t.getMonth().toString(),e.value=t.getFullYear().toString()})),w._hidePrevMonthArrow=void 0!==w.config.minDate&&(w.currentYear===w.config.minDate.getFullYear()?w.currentMonth<=w.config.minDate.getMonth():w.currentYearw.config.maxDate.getMonth():w.currentYear>w.config.maxDate.getFullYear()))}function we(e){return w.selectedDates.map((function(n){return w.formatDate(n,e)})).filter((function(e,n,t){return\"range\"!==w.config.mode||w.config.enableTime||t.indexOf(e)===n})).join(\"range\"!==w.config.mode?w.config.conjunction:w.l10n.rangeSeparator)}function be(e){void 0===e&&(e=!0),void 0!==w.mobileInput&&w.mobileFormatStr&&(w.mobileInput.value=void 0!==w.latestSelectedDateObj?w.formatDate(w.latestSelectedDateObj,w.mobileFormatStr):\"\"),w.input.value=we(w.config.dateFormat),void 0!==w.altInput&&(w.altInput.value=we(w.config.altFormat)),!1!==e&&pe(\"onValueUpdate\")}function Ce(e){var n=g(e),t=w.prevMonthNav.contains(n),a=w.nextMonthNav.contains(n);t||a?G(t?-1:1):w.yearElements.indexOf(n)>=0?n.select():n.classList.contains(\"arrowUp\")?w.changeYear(w.currentYear+1):n.classList.contains(\"arrowDown\")&&w.changeYear(w.currentYear-1)}return function(){w.element=w.input=p,w.isOpen=!1,function(){var n=[\"wrap\",\"weekNumbers\",\"allowInput\",\"allowInvalidPreload\",\"clickOpens\",\"time_24hr\",\"enableTime\",\"noCalendar\",\"altInput\",\"shorthandCurrentMonth\",\"inline\",\"static\",\"enableSeconds\",\"disableMobile\"],i=e(e({},JSON.parse(JSON.stringify(p.dataset||{}))),v),o={};w.config.parseDate=i.parseDate,w.config.formatDate=i.formatDate,Object.defineProperty(w.config,\"enable\",{get:function(){return w.config._enable},set:function(e){w.config._enable=ge(e)}}),Object.defineProperty(w.config,\"disable\",{get:function(){return w.config._disable},set:function(e){w.config._disable=ge(e)}});var r=\"time\"===i.mode;if(!i.dateFormat&&(i.enableTime||r)){var l=k.defaultConfig.dateFormat||a.dateFormat;o.dateFormat=i.noCalendar||r?\"H:i\"+(i.enableSeconds?\":S\":\"\"):l+\" H:i\"+(i.enableSeconds?\":S\":\"\")}if(i.altInput&&(i.enableTime||r)&&!i.altFormat){var d=k.defaultConfig.altFormat||a.altFormat;o.altFormat=i.noCalendar||r?\"h:i\"+(i.enableSeconds?\":S K\":\" K\"):d+\" h:i\"+(i.enableSeconds?\":S\":\"\")+\" K\"}Object.defineProperty(w.config,\"minDate\",{get:function(){return w.config._minDate},set:oe(\"min\")}),Object.defineProperty(w.config,\"maxDate\",{get:function(){return w.config._maxDate},set:oe(\"max\")});var s=function(e){return function(n){w.config[\"min\"===e?\"_minTime\":\"_maxTime\"]=w.parseDate(n,\"H:i:S\")}};Object.defineProperty(w.config,\"minTime\",{get:function(){return w.config._minTime},set:s(\"min\")}),Object.defineProperty(w.config,\"maxTime\",{get:function(){return w.config._maxTime},set:s(\"max\")}),\"time\"===i.mode&&(w.config.noCalendar=!0,w.config.enableTime=!0),Object.assign(w.config,o,i);for(var u=0;u-1?w.config[m]=c(f[m]).map(x).concat(w.config[m]):void 0===i[m]&&(w.config[m]=f[m])}i.altInputClass||(w.config.altInputClass=re().className+\" \"+w.config.altInputClass),pe(\"onParseConfig\")}(),le(),w.input=re(),w.input?(w.input._type=w.input.type,w.input.type=\"text\",w.input.classList.add(\"flatpickr-input\"),w._input=w.input,w.config.altInput&&(w.altInput=s(w.input.nodeName,w.config.altInputClass),w._input=w.altInput,w.altInput.placeholder=w.input.placeholder,w.altInput.disabled=w.input.disabled,w.altInput.required=w.input.required,w.altInput.tabIndex=w.input.tabIndex,w.altInput.type=\"text\",w.input.setAttribute(\"type\",\"hidden\"),!w.config.static&&w.input.parentNode&&w.input.parentNode.insertBefore(w.altInput,w.input.nextSibling)),w.config.allowInput||w._input.setAttribute(\"readonly\",\"readonly\"),w._positionElement=w.config.positionElement||w._input):w.config.errorHandler(new Error(\"Invalid input element specified\")),function(){w.selectedDates=[],w.now=w.parseDate(w.config.now)||new Date;var e=w.config.defaultDate||(\"INPUT\"!==w.input.nodeName&&\"TEXTAREA\"!==w.input.nodeName||!w.input.placeholder||w.input.value!==w.input.placeholder?w.input.value:null);e&&me(e,w.config.dateFormat),w._initialDate=w.selectedDates.length>0?w.selectedDates[0]:w.config.minDate&&w.config.minDate.getTime()>w.now.getTime()?w.config.minDate:w.config.maxDate&&w.config.maxDate.getTime()0&&(w.latestSelectedDateObj=w.selectedDates[0]),void 0!==w.config.minTime&&(w.config.minTime=w.parseDate(w.config.minTime,\"H:i\")),void 0!==w.config.maxTime&&(w.config.maxTime=w.parseDate(w.config.maxTime,\"H:i\")),w.minDateHasTime=!!w.config.minDate&&(w.config.minDate.getHours()>0||w.config.minDate.getMinutes()>0||w.config.minDate.getSeconds()>0),w.maxDateHasTime=!!w.config.maxDate&&(w.config.maxDate.getHours()>0||w.config.maxDate.getMinutes()>0||w.config.maxDate.getSeconds()>0)}(),w.utils={getDaysInMonth:function(e,n){return void 0===e&&(e=w.currentMonth),void 0===n&&(n=w.currentYear),1===e&&(n%4==0&&n%100!=0||n%400==0)?29:w.l10n.daysInMonth[e]}},w.isMobile||function(){var e=window.document.createDocumentFragment();if(w.calendarContainer=s(\"div\",\"flatpickr-calendar\"),w.calendarContainer.tabIndex=-1,!w.config.noCalendar){if(e.appendChild((w.monthNav=s(\"div\",\"flatpickr-months\"),w.yearElements=[],w.monthElements=[],w.prevMonthNav=s(\"span\",\"flatpickr-prev-month\"),w.prevMonthNav.innerHTML=w.config.prevArrow,w.nextMonthNav=s(\"span\",\"flatpickr-next-month\"),w.nextMonthNav.innerHTML=w.config.nextArrow,q(),Object.defineProperty(w,\"_hidePrevMonthArrow\",{get:function(){return w.__hidePrevMonthArrow},set:function(e){w.__hidePrevMonthArrow!==e&&(d(w.prevMonthNav,\"flatpickr-disabled\",e),w.__hidePrevMonthArrow=e)}}),Object.defineProperty(w,\"_hideNextMonthArrow\",{get:function(){return w.__hideNextMonthArrow},set:function(e){w.__hideNextMonthArrow!==e&&(d(w.nextMonthNav,\"flatpickr-disabled\",e),w.__hideNextMonthArrow=e)}}),w.currentYearElement=w.yearElements[0],De(),w.monthNav)),w.innerContainer=s(\"div\",\"flatpickr-innerContainer\"),w.config.weekNumbers){var n=function(){w.calendarContainer.classList.add(\"hasWeeks\");var e=s(\"div\",\"flatpickr-weekwrapper\");e.appendChild(s(\"span\",\"flatpickr-weekday\",w.l10n.weekAbbreviation));var n=s(\"div\",\"flatpickr-weeks\");return e.appendChild(n),{weekWrapper:e,weekNumbers:n}}(),t=n.weekWrapper,a=n.weekNumbers;w.innerContainer.appendChild(t),w.weekNumbers=a,w.weekWrapper=t}w.rContainer=s(\"div\",\"flatpickr-rContainer\"),w.rContainer.appendChild($()),w.daysContainer||(w.daysContainer=s(\"div\",\"flatpickr-days\"),w.daysContainer.tabIndex=-1),J(),w.rContainer.appendChild(w.daysContainer),w.innerContainer.appendChild(w.rContainer),e.appendChild(w.innerContainer)}w.config.enableTime&&e.appendChild(function(){w.calendarContainer.classList.add(\"hasTime\"),w.config.noCalendar&&w.calendarContainer.classList.add(\"noCalendar\"),w.timeContainer=s(\"div\",\"flatpickr-time\"),w.timeContainer.tabIndex=-1;var e=s(\"span\",\"flatpickr-time-separator\",\":\"),n=m(\"flatpickr-hour\",{\"aria-label\":w.l10n.hourAriaLabel});w.hourElement=n.getElementsByTagName(\"input\")[0];var t=m(\"flatpickr-minute\",{\"aria-label\":w.l10n.minuteAriaLabel});if(w.minuteElement=t.getElementsByTagName(\"input\")[0],w.hourElement.tabIndex=w.minuteElement.tabIndex=-1,w.hourElement.value=o(w.latestSelectedDateObj?w.latestSelectedDateObj.getHours():w.config.time_24hr?w.config.defaultHour:function(e){switch(e%24){case 0:case 12:return 12;default:return e%12}}(w.config.defaultHour)),w.minuteElement.value=o(w.latestSelectedDateObj?w.latestSelectedDateObj.getMinutes():w.config.defaultMinute),w.hourElement.setAttribute(\"step\",w.config.hourIncrement.toString()),w.minuteElement.setAttribute(\"step\",w.config.minuteIncrement.toString()),w.hourElement.setAttribute(\"min\",w.config.time_24hr?\"0\":\"1\"),w.hourElement.setAttribute(\"max\",w.config.time_24hr?\"23\":\"12\"),w.minuteElement.setAttribute(\"min\",\"0\"),w.minuteElement.setAttribute(\"max\",\"59\"),w.timeContainer.appendChild(n),w.timeContainer.appendChild(e),w.timeContainer.appendChild(t),w.config.time_24hr&&w.timeContainer.classList.add(\"time24hr\"),w.config.enableSeconds){w.timeContainer.classList.add(\"hasSeconds\");var a=m(\"flatpickr-second\");w.secondElement=a.getElementsByTagName(\"input\")[0],w.secondElement.value=o(w.latestSelectedDateObj?w.latestSelectedDateObj.getSeconds():w.config.defaultSeconds),w.secondElement.setAttribute(\"step\",w.minuteElement.getAttribute(\"step\")),w.secondElement.setAttribute(\"min\",\"0\"),w.secondElement.setAttribute(\"max\",\"59\"),w.timeContainer.appendChild(s(\"span\",\"flatpickr-time-separator\",\":\")),w.timeContainer.appendChild(a)}return w.config.time_24hr||(w.amPM=s(\"span\",\"flatpickr-am-pm\",w.l10n.amPM[r((w.latestSelectedDateObj?w.hourElement.value:w.config.defaultHour)>11)]),w.amPM.title=w.l10n.toggleTitle,w.amPM.tabIndex=-1,w.timeContainer.appendChild(w.amPM)),w.timeContainer}()),d(w.calendarContainer,\"rangeMode\",\"range\"===w.config.mode),d(w.calendarContainer,\"animate\",!0===w.config.animate),d(w.calendarContainer,\"multiMonth\",w.config.showMonths>1),w.calendarContainer.appendChild(e);var i=void 0!==w.config.appendTo&&void 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tt(t,e){e.handle&&(d(e.handle,r.cssClasses.active),M-=1),e.listeners.forEach((function(t){D.removeEventListener(t[0],t[1])})),0===M&&(d(w,r.cssClasses.drag),pt(),t.cursor&&(O.style.cursor=\"\",O.removeEventListener(\"selectstart\",s))),e.handleNumbers.forEach((function(t){st(\"change\",t),st(\"set\",t),st(\"end\",t)}))}function et(t,e){if(!e.handleNumbers.some(R)){var n;1===e.handleNumbers.length&&(n=p[e.handleNumbers[0]].children[0],M+=1,f(n,r.cssClasses.active)),t.stopPropagation();var 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at(t,e,n,i,o,s){var a;return p.length>1&&!r.events.unconstrained&&(i&&e>0&&(a=C.getAbsoluteDistance(t[e-1],r.margin,!1),n=Math.max(n,a)),o&&e1&&r.limit&&(i&&e>0&&(a=C.getAbsoluteDistance(t[e-1],r.limit,!1),n=Math.min(n,a)),o&&e1?n.forEach((function(t,r){var n=at(o,t,o[t]+e,a[r],l[r],!1);!1===n?e=0:(e=n-o[t],o[t]=n)})):a=l=[!0];var u=!1;n.forEach((function(t,n){u=ft(t,r[t]+e,a[n],l[n])||u})),u&&(n.forEach((function(t){st(\"update\",t),st(\"slide\",t)})),null!=i&&st(\"drag\",s))}function ct(t,e){return r.dir?100-t-e:t}function pt(){k.forEach((function(t){var e=V[t]>50?-1:1,r=3+(p.length+e*t);p[t].style.zIndex=String(r)}))}function ft(t,e,n,i,o){return o||(e=at(V,t,e,n,i,!1)),!1!==e&&(function(t,e){V[t]=e,N[t]=C.fromStepping(e);var n=\"translate(\"+lt(10*(ct(e,0)-L)+\"%\",\"0\")+\")\";p[t].style[r.transformRule]=n,dt(t),dt(t+1)}(t,e),!0)}function dt(t){if(m[t]){var e=0,n=100;0!==t&&(e=V[t-1]),t!==m.length-1&&(n=V[t]);var 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null!==o&&!1!==o&&(o=Number(o.toFixed(a))),null!==s&&!1!==s&&(s=Number(s.toFixed(a))),[s,o]}f(b=w,r.cssClasses.target),0===r.dir?f(b,r.cssClasses.ltr):f(b,r.cssClasses.rtl),0===r.ort?f(b,r.cssClasses.horizontal):f(b,r.cssClasses.vertical),f(b,\"rtl\"===getComputedStyle(b).direction?r.cssClasses.textDirectionRtl:r.cssClasses.textDirectionLtr),a=T(b,r.cssClasses.base),function(t,e){var n=T(e,r.cssClasses.connects);p=[],(m=[]).push(z(n,t[0]));for(var i=0;i=0&&t .noUi-tooltip{-webkit-transform:translate(50%, 0);transform:translate(50%, 0);left:auto;bottom:10px;}.bk-root .noUi-vertical .noUi-origin > .noUi-tooltip{-webkit-transform:translate(0, -18px);transform:translate(0, -18px);top:auto;right:28px;}.bk-root .noUi-handle{cursor:grab;cursor:-webkit-grab;}.bk-root .noUi-handle.noUi-active{cursor:grabbing;cursor:-webkit-grabbing;}.bk-root .noUi-handle:after,.bk-root .noUi-handle:before{display:none;}.bk-root .noUi-tooltip{display:none;white-space:nowrap;}.bk-root .noUi-handle:hover .noUi-tooltip{display:block;}.bk-root .noUi-horizontal{width:100%;height:10px;}.bk-root .noUi-vertical{width:10px;height:100%;}.bk-root .noUi-horizontal .noUi-handle{width:14px;height:18px;right:-7px;top:-5px;}.bk-root .noUi-vertical .noUi-handle{width:18px;height:14px;right:-5px;top:-7px;}.bk-root .noUi-target.noUi-horizontal{margin:5px 0px;}.bk-root .noUi-target.noUi-vertical{margin:0px 5px;}'},\n 465: function _(e,t,r,a,i){a();var s;const d=(0,e(1).__importDefault)(e(151)),o=e(461),_=e(8);class n extends o.AbstractSliderView{}r.DateSliderView=n,n.__name__=\"DateSliderView\";class c extends o.AbstractSlider{constructor(e){super(e),this.behaviour=\"tap\",this.connected=[!0,!1]}_formatter(e,t){return(0,_.isString)(t)?(0,d.default)(e,t):t.compute(e)}}r.DateSlider=c,s=c,c.__name__=\"DateSlider\",s.prototype.default_view=n,s.override({format:\"%d %b %Y\"})},\n 466: function _(e,t,r,a,i){a();var n;const s=(0,e(1).__importDefault)(e(151)),d=e(461),o=e(8);class _ extends d.AbstractRangeSliderView{}r.DatetimeRangeSliderView=_,_.__name__=\"DatetimeRangeSliderView\";class c extends d.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}_formatter(e,t){return(0,o.isString)(t)?(0,s.default)(e,t):t.compute(e)}}r.DatetimeRangeSlider=c,n=c,c.__name__=\"DatetimeRangeSlider\",n.prototype.default_view=_,n.override({format:\"%d %b %Y %H:%M:%S\",step:36e5})},\n 467: function _(e,t,s,r,i){var _;r();const n=e(468);class a extends n.MarkupView{render(){super.render(),this.model.render_as_text?this.markup_el.textContent=this.model.text:this.markup_el.innerHTML=this.has_math_disabled()?this.model.text:this.process_tex()}}s.DivView=a,a.__name__=\"DivView\";class d extends n.Markup{constructor(e){super(e)}}s.Div=d,_=d,d.__name__=\"Div\",_.prototype.default_view=a,_.define((({Boolean:e})=>({render_as_text:[e,!1]})))},\n 468: function _(t,e,s,i,r){i();const a=t(1);var n;const o=t(210),d=t(43),h=t(137),l=t(512),_=(0,a.__importStar)(t(469));class u extends l.WidgetView{get provider(){return h.default_provider}async lazy_initialize(){await super.lazy_initialize(),\"not_started\"==this.provider.status&&await this.provider.fetch(),\"not_started\"!=this.provider.status&&\"loading\"!=this.provider.status||this.provider.ready.connect((()=>{this.contains_tex_string()&&this.rerender()}))}after_layout(){super.after_layout(),\"loading\"===this.provider.status&&(this._has_finished=!1)}rerender(){this.layout.invalidate_cache(),this.render(),this.root.compute_layout()}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>{this.rerender()}))}styles(){return[...super.styles(),_.default]}_update_layout(){this.layout=new o.CachedVariadicBox(this.el),this.layout.set_sizing(this.box_sizing())}render(){super.render();const t=Object.assign(Object.assign({},this.model.style),{display:\"inline-block\"});this.markup_el=(0,d.div)({class:_.clearfix,style:t}),this.el.appendChild(this.markup_el),\"failed\"!=this.provider.status&&\"loaded\"!=this.provider.status||(this._has_finished=!0)}has_math_disabled(){return this.model.disable_math||!this.contains_tex_string()}process_tex(){if(!this.provider.MathJax)return this.model.text;const{text:t}=this.model,e=this.provider.MathJax.find_tex(t),s=[];let i=0;for(const r of e)s.push(t.slice(i,r.start.n)),s.push(this.provider.MathJax.tex2svg(r.math,{display:r.display}).outerHTML),i=r.end.n;return 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 469: function _(o,r,e,t,a){t(),e.root=\"bk-root\",e.clearfix=\"bk-clearfix\",e.default='.bk-root .bk-clearfix:before,.bk-root 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n.addEventListener(\"click\",(()=>this._item_click(t))),n}}));this.menu=(0,_.div)({class:[m.menu,m.below]},t),this.el.appendChild(this.menu),(0,_.undisplay)(this.menu)}_show_menu(){if(!this._open){this._open=!0,(0,_.display)(this.menu);const e=t=>{const{target:i}=t;i instanceof HTMLElement&&!this.el.contains(i)&&(document.removeEventListener(\"click\",e),this._hide_menu())};document.addEventListener(\"click\",e)}}_hide_menu(){this._open&&(this._open=!1,(0,_.undisplay)(this.menu))}_toggle_menu(){this._open?this._hide_menu():this._show_menu()}click(){this.model.is_split?(this._hide_menu(),this.model.trigger_event(new d.ButtonClick),super.click()):this._toggle_menu()}_item_click(e){this._hide_menu();const t=this.model.menu[e];if(null!=t){const i=(0,u.isString)(t)?t:t[1];(0,u.isString)(i)?this.model.trigger_event(new d.MenuItemClick(i)):i.execute(this.model,{index:e})}}}i.DropdownView=p,p.__name__=\"DropdownView\";class a extends r.AbstractButton{constructor(e){super(e)}get is_split(){return this.split}}i.Dropdown=a,l=a,a.__name__=\"Dropdown\",l.prototype.default_view=p,l.define((({Null:e,Boolean:t,String:i,Array:n,Tuple:s,Or:o})=>({split:[t,!1],menu:[n(o(i,s(i,o(i)),e)),[]]}))),l.override({label:\"Dropdown\"})},\n 471: function _(e,l,i,t,s){var n;t();const a=e(43),o=e(512);class d extends o.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.render()))}render(){const{multiple:e,accept:l,disabled:i,width:t}=this.model;null==this.dialog_el&&(this.dialog_el=(0,a.input)({type:\"file\",multiple:e}),this.dialog_el.onchange=()=>{const{files:e}=this.dialog_el;null!=e&&this.load_files(e)},this.el.appendChild(this.dialog_el)),null!=l&&\"\"!=l&&(this.dialog_el.accept=l),this.dialog_el.style.width=`${t}px`,this.dialog_el.disabled=i}async load_files(e){const l=[],i=[],t=[];for(const s of e){const e=await this._read_file(s),[,n=\"\",,a=\"\"]=e.split(/[:;,]/,4);l.push(a),i.push(s.name),t.push(n)}this.model.multiple?this.model.setv({value:l,filename:i,mime_type:t}):this.model.setv({value:l[0],filename:i[0],mime_type:t[0]})}_read_file(e){return new Promise(((l,i)=>{const t=new FileReader;t.onload=()=>{var s;const{result:n}=t;null!=n?l(n):i(null!==(s=t.error)&&void 0!==s?s:new Error(`unable to read '${e.name}'`))},t.readAsDataURL(e)}))}}i.FileInputView=d,d.__name__=\"FileInputView\";class r extends o.Widget{constructor(e){super(e)}}i.FileInput=r,n=r,r.__name__=\"FileInput\",n.prototype.default_view=d,n.define((({Boolean:e,String:l,Array:i,Or:t})=>({value:[t(l,i(l)),\"\"],mime_type:[t(l,i(l)),\"\"],filename:[t(l,i(l)),\"\"],accept:[l,\"\"],multiple:[e,!1]})))},\n 472: function _(e,t,i,s,n){s();const l=e(1);var o;const r=e(43),c=e(8),h=e(448),p=(0,l.__importStar)(e(449));class d extends h.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.value.change,(()=>this.render_selection())),this.connect(this.model.properties.options.change,(()=>this.render())),this.connect(this.model.properties.name.change,(()=>this.render())),this.connect(this.model.properties.title.change,(()=>this.render())),this.connect(this.model.properties.size.change,(()=>this.render())),this.connect(this.model.properties.disabled.change,(()=>this.render()))}render(){super.render();const e=this.model.options.map((e=>{let t,i;return(0,c.isString)(e)?t=i=e:[t,i]=e,(0,r.option)({value:t},i)}));this.input_el=(0,r.select)({multiple:!0,class:p.input,name:this.model.name,disabled:this.model.disabled},e),this.input_el.addEventListener(\"change\",(()=>this.change_input())),this.group_el.appendChild(this.input_el),this.render_selection()}render_selection(){const e=new Set(this.model.value);for(const t of 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p.Markup{constructor(e){super(e)}}r.Paragraph=h,n=h,h.__name__=\"Paragraph\",n.prototype.default_view=i},\n 474: function _(e,s,t,n,r){var p;n();const u=e(446);class a extends u.TextInputView{render(){super.render(),this.input_el.type=\"password\"}}t.PasswordInputView=a,a.__name__=\"PasswordInputView\";class o extends u.TextInput{constructor(e){super(e)}}t.PasswordInput=o,p=o,o.__name__=\"PasswordInput\",p.prototype.default_view=a},\n 475: function _(e,t,i,l,s){l();const o=e(1);var n;const h=(0,o.__importDefault)(e(476)),a=e(43),u=e(8),c=e(210),_=(0,o.__importStar)(e(449)),d=(0,o.__importDefault)(e(477)),r=e(448);class m extends r.InputWidgetView{constructor(){super(...arguments),this._last_height=null}connect_signals(){super.connect_signals(),this.connect(this.model.properties.disabled.change,(()=>this.set_disabled()));const{value:e,max_items:t,option_limit:i,search_option_limit:l,delete_button:s,placeholder:o,options:n,name:h,title:a}=this.model.properties;this.on_change([e,t,i,l,s,o,n,h,a],(()=>this.render()))}styles(){return[...super.styles(),d.default]}_update_layout(){this.layout=new c.CachedVariadicBox(this.el),this.layout.set_sizing(this.box_sizing())}render(){super.render(),this.input_el=(0,a.select)({multiple:!0,class:_.input,name:this.model.name,disabled:this.model.disabled}),this.group_el.appendChild(this.input_el);const e=new Set(this.model.value),t=this.model.options.map((t=>{let i,l;return(0,u.isString)(t)?i=l=t:[i,l]=t,{value:i,label:l,selected:e.has(i)}})),i=this.model.solid?\"solid\":\"light\",l=`choices__item ${i}`,s=`choices__button ${i}`,o={choices:t,duplicateItemsAllowed:!1,removeItemButton:this.model.delete_button,classNames:{item:l,button:s}};null!=this.model.placeholder&&(o.placeholderValue=this.model.placeholder),null!=this.model.max_items&&(o.maxItemCount=this.model.max_items),null!=this.model.option_limit&&(o.renderChoiceLimit=this.model.option_limit),null!=this.model.search_option_limit&&(o.searchResultLimit=this.model.search_option_limit),this.choice_el=new h.default(this.input_el,o);const n=()=>this.choice_el.containerOuter.element.getBoundingClientRect().height;null!=this._last_height&&this._last_height!=n()&&this.root.invalidate_layout(),this._last_height=n(),this.input_el.addEventListener(\"change\",(()=>this.change_input()))}set_disabled(){this.model.disabled?this.choice_el.disable():this.choice_el.enable()}change_input(){const e=null!=this.el.querySelector(\"select:focus\"),t=[];for(const e of this.el.querySelectorAll(\"option\"))e.selected&&t.push(e.value);this.model.value=t,super.change_input(),e&&this.input_el.focus()}}i.MultiChoiceView=m,m.__name__=\"MultiChoiceView\";class p extends r.InputWidget{constructor(e){super(e)}}i.MultiChoice=p,n=p,p.__name__=\"MultiChoice\",n.prototype.default_view=m,n.define((({Boolean:e,Int:t,String:i,Array:l,Tuple:s,Or:o,Nullable:n})=>({value:[l(i),[]],options:[l(o(i,s(i,i))),[]],max_items:[n(t),null],delete_button:[e,!0],placeholder:[n(i),null],option_limit:[n(t),null],search_option_limit:[n(t),null],solid:[e,!0]})))},\n 476: function _(e,t,i,n,s){\n /*! choices.js v9.0.1 | © 2019 Josh Johnson | https://github.com/jshjohnson/Choices#readme */\n var r,o;r=window,o=function(){return function(e){var t={};function i(n){if(t[n])return t[n].exports;var s=t[n]={i:n,l:!1,exports:{}};return e[n].call(s.exports,s,s.exports,i),s.l=!0,s.exports}return i.m=e,i.c=t,i.d=function(e,t,n){i.o(e,t)||Object.defineProperty(e,t,{enumerable:!0,get:n})},i.r=function(e){\"undefined\"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(e,Symbol.toStringTag,{value:\"Module\"}),Object.defineProperty(e,\"__esModule\",{value:!0})},i.t=function(e,t){if(1&t&&(e=i(e)),8&t)return e;if(4&t&&\"object\"==typeof e&&e&&e.__esModule)return e;var n=Object.create(null);if(i.r(n),Object.defineProperty(n,\"default\",{enumerable:!0,value:e}),2&t&&\"string\"!=typeof e)for(var s in e)i.d(n,s,function(t){return e[t]}.bind(null,s));return n},i.n=function(e){var t=e&&e.__esModule?function(){return e.default}:function(){return e};return i.d(t,\"a\",t),t},i.o=function(e,t){return Object.prototype.hasOwnProperty.call(e,t)},i.p=\"/public/assets/scripts/\",i(i.s=4)}([function(e,t,i){\"use strict\";var n=function(e){return function(e){return!!e&&\"object\"==typeof e}(e)&&!function(e){var t=Object.prototype.toString.call(e);return\"[object RegExp]\"===t||\"[object Date]\"===t||function(e){return e.$$typeof===s}(e)}(e)},s=\"function\"==typeof Symbol&&Symbol.for?Symbol.for(\"react.element\"):60103;function r(e,t){return!1!==t.clone&&t.isMergeableObject(e)?l((i=e,Array.isArray(i)?[]:{}),e,t):e;var i}function o(e,t,i){return e.concat(t).map((function(e){return r(e,i)}))}function a(e){return Object.keys(e).concat(function(e){return Object.getOwnPropertySymbols?Object.getOwnPropertySymbols(e).filter((function(t){return e.propertyIsEnumerable(t)})):[]}(e))}function c(e,t,i){var n={};return i.isMergeableObject(e)&&a(e).forEach((function(t){n[t]=r(e[t],i)})),a(t).forEach((function(s){(function(e,t){try{return t in e&&!(Object.hasOwnProperty.call(e,t)&&Object.propertyIsEnumerable.call(e,t))}catch(e){return!1}})(e,s)||(i.isMergeableObject(t[s])&&e[s]?n[s]=function(e,t){if(!t.customMerge)return l;var i=t.customMerge(e);return\"function\"==typeof i?i:l}(s,i)(e[s],t[s],i):n[s]=r(t[s],i))})),n}function l(e,t,i){(i=i||{}).arrayMerge=i.arrayMerge||o,i.isMergeableObject=i.isMergeableObject||n,i.cloneUnlessOtherwiseSpecified=r;var s=Array.isArray(t);return s===Array.isArray(e)?s?i.arrayMerge(e,t,i):c(e,t,i):r(t,i)}l.all=function(e,t){if(!Array.isArray(e))throw new Error(\"first argument should be an array\");return e.reduce((function(e,i){return l(e,i,t)}),{})};var h=l;e.exports=h},function(e,t,i){\"use strict\";(function(e,n){var s,r=i(3);s=\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:void 0!==e?e:n;var o=Object(r.a)(s);t.a=o}).call(this,i(5),i(6)(e))},function(e,t,i){\n /*!\n * Fuse.js v3.4.5 - Lightweight fuzzy-search (http://fusejs.io)\n *\n * Copyright (c) 2012-2017 Kirollos Risk (http://kiro.me)\n * All Rights Reserved. Apache Software License 2.0\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n */\n e.exports=function(e){var t={};function i(n){if(t[n])return t[n].exports;var s=t[n]={i:n,l:!1,exports:{}};return e[n].call(s.exports,s,s.exports,i),s.l=!0,s.exports}return i.m=e,i.c=t,i.d=function(e,t,n){i.o(e,t)||Object.defineProperty(e,t,{enumerable:!0,get:n})},i.r=function(e){\"undefined\"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(e,Symbol.toStringTag,{value:\"Module\"}),Object.defineProperty(e,\"__esModule\",{value:!0})},i.t=function(e,t){if(1&t&&(e=i(e)),8&t)return e;if(4&t&&\"object\"==typeof e&&e&&e.__esModule)return e;var n=Object.create(null);if(i.r(n),Object.defineProperty(n,\"default\",{enumerable:!0,value:e}),2&t&&\"string\"!=typeof e)for(var s in e)i.d(n,s,function(t){return e[t]}.bind(null,s));return n},i.n=function(e){var t=e&&e.__esModule?function(){return e.default}:function(){return e};return i.d(t,\"a\",t),t},i.o=function(e,t){return Object.prototype.hasOwnProperty.call(e,t)},i.p=\"\",i(i.s=1)}([function(e,t){e.exports=function(e){return Array.isArray?Array.isArray(e):\"[object Array]\"===Object.prototype.toString.call(e)}},function(e,t,i){function n(e){return(n=\"function\"==typeof Symbol&&\"symbol\"==typeof Symbol.iterator?function(e){return typeof e}:function(e){return e&&\"function\"==typeof Symbol&&e.constructor===Symbol&&e!==Symbol.prototype?\"symbol\":typeof e})(e)}function s(e,t){for(var i=0;i1&&void 0!==arguments[1]?arguments[1]:{limit:!1};this._log('---------\\nSearch pattern: \"'.concat(e,'\"'));var i=this._prepareSearchers(e),n=i.tokenSearchers,s=i.fullSearcher,r=this._search(n,s),o=r.weights,a=r.results;return this._computeScore(o,a),this.options.shouldSort&&this._sort(a),t.limit&&\"number\"==typeof t.limit&&(a=a.slice(0,t.limit)),this._format(a)}},{key:\"_prepareSearchers\",value:function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:\"\",t=[];if(this.options.tokenize)for(var i=e.split(this.options.tokenSeparator),n=0,s=i.length;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 479: function _(e,t,r,s,n){var a;s();const o=e(468),_=e(43);class p extends o.MarkupView{render(){super.render();const e=(0,_.pre)({style:{overflow:\"auto\"}},this.model.text);this.markup_el.appendChild(e)}}r.PreTextView=p,p.__name__=\"PreTextView\";class u extends o.Markup{constructor(e){super(e)}}r.PreText=u,a=u,u.__name__=\"PreText\",a.prototype.default_view=p},\n 480: function _(t,o,e,a,i){a();const n=t(1);var u;const s=t(452),c=t(43),_=(0,n.__importStar)(t(318));class r extends s.ButtonGroupView{change_active(t){this.model.active!==t&&(this.model.active=t)}_update_active(){const{active:t}=this.model;this._buttons.forEach(((o,e)=>{(0,c.classes)(o).toggle(_.active,t===e)}))}}e.RadioButtonGroupView=r,r.__name__=\"RadioButtonGroupView\";class l extends s.ButtonGroup{constructor(t){super(t)}}e.RadioButtonGroup=l,u=l,l.__name__=\"RadioButtonGroup\",u.prototype.default_view=r,u.define((({Int:t,Nullable:o})=>({active:[o(t),null]})))},\n 481: function _(e,n,i,t,a){t();const s=e(1);var l;const o=e(43),d=e(34),p=e(455),r=(0,s.__importStar)(e(449));class u extends p.InputGroupView{render(){super.render();const e=(0,o.div)({class:[r.input_group,this.model.inline?r.inline:null]});this.el.appendChild(e);const n=(0,d.uniqueId)(),{active:i,labels:t}=this.model;this._inputs=[];for(let a=0;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 482: function _(e,r,t,a,i){a();var n;const o=(0,e(1).__importStar)(e(153)),s=e(461),_=e(8);class d extends s.AbstractRangeSliderView{}t.RangeSliderView=d,d.__name__=\"RangeSliderView\";class c extends s.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}_formatter(e,r){return(0,_.isString)(r)?o.format(e,r):r.compute(e)}}t.RangeSlider=c,n=c,c.__name__=\"RangeSlider\",n.prototype.default_view=d,n.override({format:\"0[.]00\"})},\n 483: function _(e,t,n,s,i){s();const l=e(1);var u;const a=e(43),o=e(8),p=e(13),_=e(448),r=(0,l.__importStar)(e(449));class c extends _.InputWidgetView{constructor(){super(...arguments),this._known_values=new Set}connect_signals(){super.connect_signals();const{value:e,options:t}=this.model.properties;this.on_change(e,(()=>{this._update_value()})),this.on_change(t,(()=>{(0,a.empty)(this.input_el),(0,a.append)(this.input_el,...this.options_el()),this._update_value()}))}options_el(){const{_known_values:e}=this;function t(t){return t.map((t=>{let n,s;return(0,o.isString)(t)?n=s=t:[n,s]=t,e.add(n),(0,a.option)({value:n},s)}))}e.clear();const{options:n}=this.model;return(0,o.isArray)(n)?t(n):(0,p.entries)(n).map((([e,n])=>(0,a.optgroup)({label:e},t(n))))}render(){super.render(),this.input_el=(0,a.select)({class:r.input,name:this.model.name,disabled:this.model.disabled},this.options_el()),this._update_value(),this.input_el.addEventListener(\"change\",(()=>this.change_input())),this.group_el.appendChild(this.input_el)}change_input(){const e=this.input_el.value;this.model.value=e,super.change_input()}_update_value(){const{value:e}=this.model;this._known_values.has(e)?this.input_el.value=e:this.input_el.removeAttribute(\"value\")}}n.SelectView=c,c.__name__=\"SelectView\";class h extends _.InputWidget{constructor(e){super(e)}}n.Select=h,u=h,h.__name__=\"Select\",u.prototype.default_view=c,u.define((({String:e,Array:t,Tuple:n,Dict:s,Or:i})=>{const l=t(i(e,n(e,e)));return{value:[e,\"\"],options:[i(l,s(l)),[]]}}))},\n 484: function _(e,t,r,i,a){i();var o;const s=(0,e(1).__importStar)(e(153)),_=e(461),n=e(8);class c extends _.AbstractSliderView{}r.SliderView=c,c.__name__=\"SliderView\";class d extends _.AbstractSlider{constructor(e){super(e),this.behaviour=\"tap\",this.connected=[!0,!1]}_formatter(e,t){return(0,n.isString)(t)?s.format(e,t):t.compute(e)}}r.Slider=d,o=d,d.__name__=\"Slider\",o.prototype.default_view=c,o.override({format:\"0[.]00\"})},\n 485: function _(e,t,i,n,s){var l;n();const o=e(478),r=e(43),{min:a,max:h,floor:_,abs:u}=Math;function d(e){return _(e)!==e?e.toFixed(16).replace(/0+$/,\"\").split(\".\")[1].length:0}class p extends o.NumericInputView{*buttons(){yield this.btn_up_el,yield this.btn_down_el}initialize(){super.initialize(),this._handles={interval:void 0,timeout:void 0},this._interval=200}connect_signals(){super.connect_signals();const e=this.model.properties;this.on_change(e.disabled,(()=>{for(const e of this.buttons())(0,r.toggle_attribute)(e,\"disabled\",this.model.disabled)}))}render(){super.render(),this.wrapper_el=(0,r.div)({class:\"bk-spin-wrapper\"}),this.group_el.replaceChild(this.wrapper_el,this.input_el),this.btn_up_el=(0,r.button)({class:\"bk-spin-btn bk-spin-btn-up\"}),this.btn_down_el=(0,r.button)({class:\"bk-spin-btn bk-spin-btn-down\"}),this.wrapper_el.appendChild(this.input_el),this.wrapper_el.appendChild(this.btn_up_el),this.wrapper_el.appendChild(this.btn_down_el);for(const e of this.buttons())(0,r.toggle_attribute)(e,\"disabled\",this.model.disabled),e.addEventListener(\"mousedown\",(e=>this._btn_mouse_down(e))),e.addEventListener(\"mouseup\",(()=>this._btn_mouse_up())),e.addEventListener(\"mouseleave\",(()=>this._btn_mouse_leave()));this.input_el.addEventListener(\"keydown\",(e=>this._input_key_down(e))),this.input_el.addEventListener(\"keyup\",(()=>this.model.value_throttled=this.model.value)),this.input_el.addEventListener(\"wheel\",(e=>this._input_mouse_wheel(e))),this.input_el.addEventListener(\"wheel\",function(e,t,i=!1){let n;return function(...s){const l=this,o=i&&void 0===n;void 0!==n&&clearTimeout(n),n=setTimeout((function(){n=void 0,i||e.apply(l,s)}),t),o&&e.apply(l,s)}}((()=>{this.model.value_throttled=this.model.value}),this.model.wheel_wait,!1))}get precision(){const{low:e,high:t,step:i}=this.model,n=d;return h(n(u(null!=e?e:0)),n(u(null!=t?t:0)),n(u(i)))}remove(){this._stop_incrementation(),super.remove()}_start_incrementation(e){clearInterval(this._handles.interval),this._counter=0;const{step:t}=this.model,i=e=>{if(this._counter+=1,this._counter%5==0){const t=Math.floor(this._counter/5);t<10?(clearInterval(this._handles.interval),this._handles.interval=setInterval((()=>i(e)),this._interval/(t+1))):t>=10&&t<=13&&(clearInterval(this._handles.interval),this._handles.interval=setInterval((()=>i(2*e)),this._interval/10))}this.increment(e)};this._handles.interval=setInterval((()=>i(e*t)),this._interval)}_stop_incrementation(){clearTimeout(this._handles.timeout),this._handles.timeout=void 0,clearInterval(this._handles.interval),this._handles.interval=void 0,this.model.value_throttled=this.model.value}_btn_mouse_down(e){e.preventDefault();const t=e.currentTarget===this.btn_up_el?1:-1;this.increment(t*this.model.step),this.input_el.focus(),this._handles.timeout=setTimeout((()=>this._start_incrementation(t)),this._interval)}_btn_mouse_up(){this._stop_incrementation()}_btn_mouse_leave(){this._stop_incrementation()}_input_mouse_wheel(e){if(document.activeElement===this.input_el){e.preventDefault();const t=e.deltaY>0?-1:1;this.increment(t*this.model.step)}}_input_key_down(e){switch(e.keyCode){case r.Keys.Up:return e.preventDefault(),this.increment(this.model.step);case r.Keys.Down:return e.preventDefault(),this.increment(-this.model.step);case r.Keys.PageUp:return e.preventDefault(),this.increment(this.model.page_step_multiplier*this.model.step);case r.Keys.PageDown:return e.preventDefault(),this.increment(-this.model.page_step_multiplier*this.model.step)}}adjust_to_precision(e){return this.bound_value(Number(e.toFixed(this.precision)))}increment(e){const{low:t,high:i}=this.model;null==this.model.value?e>0?this.model.value=null!=t?t:null!=i?a(0,i):0:e<0&&(this.model.value=null!=i?i:null!=t?h(t,0):0):this.model.value=this.adjust_to_precision(this.model.value+e)}change_input(){super.change_input(),this.model.value_throttled=this.model.value}}i.SpinnerView=p,p.__name__=\"SpinnerView\";class m extends o.NumericInput{constructor(e){super(e)}}i.Spinner=m,l=m,m.__name__=\"Spinner\",l.prototype.default_view=p,l.define((({Number:e,Nullable:t})=>({value_throttled:[t(e),null],step:[e,1],page_step_multiplier:[e,10],wheel_wait:[e,100]}))),l.override({mode:\"float\"})},\n 486: function _(e,t,s,n,i){n();const o=e(1);var r;const c=e(447),l=e(43),p=(0,o.__importStar)(e(449));class _ extends 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 487: function _(e,t,s,c,i){c();const o=e(1);var a;const n=e(441),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 }, 439, {\"models/widgets/main\":439,\"models/widgets/index\":440,\"models/widgets/abstract_button\":441,\"models/widgets/control\":442,\"models/widgets/widget\":512,\"models/widgets/abstract_icon\":444,\"models/widgets/autocomplete_input\":445,\"models/widgets/text_input\":446,\"models/widgets/text_like_input\":447,\"models/widgets/input_widget\":448,\"styles/widgets/inputs.css\":449,\"models/widgets/button\":450,\"models/widgets/checkbox_button_group\":451,\"models/widgets/button_group\":452,\"models/widgets/oriented_control\":453,\"models/widgets/checkbox_group\":454,\"models/widgets/input_group\":455,\"models/widgets/color_picker\":456,\"models/widgets/date_picker\":457,\"styles/widgets/flatpickr.css\":459,\"models/widgets/date_range_slider\":460,\"models/widgets/abstract_slider\":461,\"styles/widgets/sliders.css\":463,\"styles/widgets/nouislider.css\":464,\"models/widgets/date_slider\":465,\"models/widgets/datetime_range_slider\":466,\"models/widgets/div\":467,\"models/widgets/markup\":468,\"styles/clearfix.css\":469,\"models/widgets/dropdown\":470,\"models/widgets/file_input\":471,\"models/widgets/multiselect\":472,\"models/widgets/paragraph\":473,\"models/widgets/password_input\":474,\"models/widgets/multichoice\":475,\"styles/widgets/choices.css\":477,\"models/widgets/numeric_input\":478,\"models/widgets/pretext\":479,\"models/widgets/radio_button_group\":480,\"models/widgets/radio_group\":481,\"models/widgets/range_slider\":482,\"models/widgets/selectbox\":483,\"models/widgets/slider\":484,\"models/widgets/spinner\":485,\"models/widgets/textarea_input\":486,\"models/widgets/toggle\":487}, {});});\n\n /* END bokeh-widgets.min.js */\n },\n function(Bokeh) {\n /* BEGIN bokeh-tables.min.js */\n /*!\n * Copyright (c) 2012 - 2022, Anaconda, Inc., and Bokeh Contributors\n * All rights reserved.\n * \n * Redistribution and use in source and binary forms, with or without modification,\n * are permitted provided that the following conditions are met:\n * \n * Redistributions of source code must retain the above copyright notice,\n * this list of conditions and the following disclaimer.\n * \n * Redistributions in binary form must reproduce the above copyright notice,\n * this list of conditions and the following disclaimer in the documentation\n * and/or other materials provided with the distribution.\n * \n * Neither the name of Anaconda nor the names of any contributors\n * may be used to endorse or promote products derived from this software\n * without specific prior written permission.\n * \n * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n * THE POSSIBILITY OF SUCH DAMAGE.\n */\n (function(root, factory) {\n factory(root[\"Bokeh\"], \"2.4.3\");\n })(this, function(Bokeh, version) {\n let define;\n return (function(modules, entry, aliases, externals) {\n const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? 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 488: function _(t,e,o,r,s){r();const _=(0,t(1).__importStar)(t(489));o.Tables=_;(0,t(7).register_models)(_)},\n 489: function _(g,a,r,e,t){e();const o=g(1);(0,o.__exportStar)(g(490),r),(0,o.__exportStar)(g(493),r),t(\"DataTable\",g(496).DataTable),t(\"TableColumn\",g(514).TableColumn),t(\"TableWidget\",g(513).TableWidget);var n=g(516);t(\"AvgAggregator\",n.AvgAggregator),t(\"MinAggregator\",n.MinAggregator),t(\"MaxAggregator\",n.MaxAggregator),t(\"SumAggregator\",n.SumAggregator);var A=g(517);t(\"GroupingInfo\",A.GroupingInfo),t(\"DataCube\",A.DataCube)},\n 490: function _(e,t,i,s,a){s();const r=e(1);var l,n,u,d,o,p,_,c,h;const E=e(43),V=e(226),m=e(53),f=e(491),v=(0,r.__importStar)(e(492));class w extends V.DOMView{constructor(e){const{model:t,parent:i}=e.column;super(Object.assign({model:t,parent:i},e)),this.args=e,this.initialize(),this.render()}get emptyValue(){return null}initialize(){super.initialize(),this.inputEl=this._createInput(),this.defaultValue=null}async lazy_initialize(){throw new Error(\"unsupported\")}css_classes(){return super.css_classes().concat(v.cell_editor)}render(){super.render(),this.args.container.append(this.el),this.el.appendChild(this.inputEl),this.renderEditor(),this.disableNavigation()}renderEditor(){}disableNavigation(){this.inputEl.addEventListener(\"keydown\",(e=>{switch(e.keyCode){case E.Keys.Left:case E.Keys.Right:case E.Keys.Up:case E.Keys.Down:case E.Keys.PageUp:case E.Keys.PageDown:e.stopImmediatePropagation()}}))}destroy(){this.remove()}focus(){this.inputEl.focus()}show(){}hide(){}position(){}getValue(){return this.inputEl.value}setValue(e){this.inputEl.value=e}serializeValue(){return this.getValue()}isValueChanged(){return!(\"\"==this.getValue()&&null==this.defaultValue)&&this.getValue()!==this.defaultValue}applyValue(e,t){const i=this.args.grid.getData(),s=i.index.indexOf(e[f.DTINDEX_NAME]);i.setField(s,this.args.column.field,t)}loadValue(e){const t=e[this.args.column.field];this.defaultValue=null!=t?t:this.emptyValue,this.setValue(this.defaultValue)}validateValue(e){if(this.args.column.validator){const t=this.args.column.validator(e);if(!t.valid)return t}return{valid:!0,msg:null}}validate(){return this.validateValue(this.getValue())}}i.CellEditorView=w,w.__name__=\"CellEditorView\";class g extends m.Model{}i.CellEditor=g,g.__name__=\"CellEditor\";class x extends w{get emptyValue(){return\"\"}_createInput(){return(0,E.input)({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}}i.StringEditorView=x,x.__name__=\"StringEditorView\";class y extends g{}i.StringEditor=y,l=y,y.__name__=\"StringEditor\",l.prototype.default_view=x,l.define((({String:e,Array:t})=>({completions:[t(e),[]]})));class I extends w{_createInput(){return(0,E.textarea)()}renderEditor(){this.inputEl.focus(),this.inputEl.select()}}i.TextEditorView=I,I.__name__=\"TextEditorView\";class b extends g{}i.TextEditor=b,n=b,b.__name__=\"TextEditor\",n.prototype.default_view=I;class N extends w{_createInput(){return(0,E.select)()}renderEditor(){for(const e of this.model.options)this.inputEl.appendChild((0,E.option)({value:e},e));this.focus()}}i.SelectEditorView=N,N.__name__=\"SelectEditorView\";class C extends g{}i.SelectEditor=C,u=C,C.__name__=\"SelectEditor\",u.prototype.default_view=N,u.define((({String:e,Array:t})=>({options:[t(e),[]]})));class D extends w{_createInput(){return(0,E.input)({type:\"text\"})}}i.PercentEditorView=D,D.__name__=\"PercentEditorView\";class S extends g{}i.PercentEditor=S,d=S,S.__name__=\"PercentEditor\",d.prototype.default_view=D;class k extends w{_createInput(){return(0,E.input)({type:\"checkbox\"})}renderEditor(){this.focus()}loadValue(e){this.defaultValue=!!e[this.args.column.field],this.inputEl.checked=this.defaultValue}serializeValue(){return this.inputEl.checked}}i.CheckboxEditorView=k,k.__name__=\"CheckboxEditorView\";class z extends g{}i.CheckboxEditor=z,o=z,z.__name__=\"CheckboxEditor\",o.prototype.default_view=k;class P extends w{_createInput(){return(0,E.input)({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){var e;return null!==(e=parseInt(this.getValue(),10))&&void 0!==e?e:0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid integer\"}:super.validateValue(e)}}i.IntEditorView=P,P.__name__=\"IntEditorView\";class T extends g{}i.IntEditor=T,p=T,T.__name__=\"IntEditor\",p.prototype.default_view=P,p.define((({Int:e})=>({step:[e,1]})));class K extends w{_createInput(){return(0,E.input)({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){var e;return null!==(e=parseFloat(this.getValue()))&&void 0!==e?e:0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid number\"}:super.validateValue(e)}}i.NumberEditorView=K,K.__name__=\"NumberEditorView\";class A extends g{}i.NumberEditor=A,_=A,A.__name__=\"NumberEditor\",_.prototype.default_view=K,_.define((({Number:e})=>({step:[e,.01]})));class M extends w{_createInput(){return(0,E.input)({type:\"text\"})}}i.TimeEditorView=M,M.__name__=\"TimeEditorView\";class O extends g{}i.TimeEditor=O,c=O,O.__name__=\"TimeEditor\",c.prototype.default_view=M;class F extends w{_createInput(){return(0,E.input)({type:\"text\"})}get emptyValue(){return new Date}renderEditor(){this.inputEl.focus(),this.inputEl.select()}destroy(){super.destroy()}show(){super.show()}hide(){super.hide()}position(){return super.position()}getValue(){}setValue(e){}}i.DateEditorView=F,F.__name__=\"DateEditorView\";class L extends g{}i.DateEditor=L,h=L,L.__name__=\"DateEditor\",h.prototype.default_view=F},\n 491: function _(_,n,i,t,d){t(),i.DTINDEX_NAME=\"__bkdt_internal_index__\"},\n 492: function _(e,l,o,t,r){t(),o.root=\"bk-root\",o.data_table=\"bk-data-table\",o.cell_special_defaults=\"bk-cell-special-defaults\",o.cell_select=\"bk-cell-select\",o.cell_index=\"bk-cell-index\",o.header_index=\"bk-header-index\",o.cell_editor=\"bk-cell-editor\",o.cell_editor_completion=\"bk-cell-editor-completion\",o.default='.bk-root .bk-data-table{box-sizing:content-box;font-size:11px;}.bk-root .bk-data-table input[type=\"checkbox\"]{margin-left:4px;margin-right:4px;}.bk-root 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w.globalEval(e),e}}}),w.ajaxPrefilter(\"script\",(function(e){void 0===e.cache&&(e.cache=!1),e.crossDomain&&(e.type=\"GET\")})),w.ajaxTransport(\"script\",(function(e){var t,n;if(e.crossDomain||e.scriptAttrs)return{send:function(r,i){t=w(\"" ], "text/plain": [ ":Curve [year] (time_minutes,vaporfly)" ] }, "execution_count": 40, "metadata": { "application/vnd.holoviews_exec.v0+json": { "id": "1228" } }, "output_type": "execute_result" } ], "source": [ "data.plot(kind='line', x='year', y='time_minutes', \n", " color='orange', grid=False, hover_cols='vaporfly',\n", " title='test')\n", "\n", "# Creating Selector (widget) containing all posible Pokémon types\n", "pok_types = list(df.type_1.unique())\n", "pok_type = pn.widgets.Select(name='Type', options=pok_types)\n", "\n", "# Create interactive dataframe\n", "idf = df.interacive()\n", "\n", "# Create interaction with data\n", "data_pipeline = (\n", " idf[\n", " (idf.type_1 == pok_type) | (idf.type_2 == pok_type)\n", " ]\n", ")\n", "\n", "# Select data containing avg weakness and rename value results as damage\n", "data_damage = data_pipeline.iloc[:, -18:].mean().rename('Damage')\n", "\n", "# Create Bar Plot\n", "data_damage.hvplot(kind='bar',\n", " title='This type is Weak against...', \n", " rot=45, \n", " c='Damage', colorbar=True, \n", " colormap='RdYlGn_r', \n", " shared_axes=False,)" ] }, { "cell_type": "code", "execution_count": null, "id": "dfc50ac8", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "c2edeb9d", "metadata": {}, "outputs": [ { "data": { "image/png": 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