ocefpaf/time-series-boia-temperatura.ipynb

## time-series-boia-temperatura.ipynb
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Explorando dados das Boias Piratas\n",
    "\n",
    "\n",
    "http://www.goosbrasil.org/pirata/dados"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
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       "      <th>t_120</th>\n",
       "      <th>t_13</th>\n",
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       "      <th>t_300</th>\n",
       "      <th>t_40</th>\n",
       "      <th>t_5</th>\n",
       "      <th>t_500</th>\n",
       "      <th>t_60</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>datahora</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2005-08-24 12:00:00+00:00</th>\n",
       "      <td>25.19</td>\n",
       "      <td>-99999.0</td>\n",
       "      <td>25.20</td>\n",
       "      <td>24.89</td>\n",
       "      <td>-99999.0</td>\n",
       "      <td>23.79</td>\n",
       "      <td>20.60</td>\n",
       "      <td>25.17</td>\n",
       "      <td>12.46</td>\n",
       "      <td>25.17</td>\n",
       "      <td>-99999.0</td>\n",
       "      <td>6.82</td>\n",
       "      <td>25.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-08-25 12:00:00+00:00</th>\n",
       "      <td>25.19</td>\n",
       "      <td>-99999.0</td>\n",
       "      <td>25.17</td>\n",
       "      <td>24.72</td>\n",
       "      <td>-99999.0</td>\n",
       "      <td>23.61</td>\n",
       "      <td>20.31</td>\n",
       "      <td>25.18</td>\n",
       "      <td>12.27</td>\n",
       "      <td>25.18</td>\n",
       "      <td>-99999.0</td>\n",
       "      <td>6.85</td>\n",
       "      <td>25.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-08-26 12:00:00+00:00</th>\n",
       "      <td>25.26</td>\n",
       "      <td>-99999.0</td>\n",
       "      <td>25.13</td>\n",
       "      <td>24.74</td>\n",
       "      <td>-99999.0</td>\n",
       "      <td>23.63</td>\n",
       "      <td>20.43</td>\n",
       "      <td>25.24</td>\n",
       "      <td>12.36</td>\n",
       "      <td>25.22</td>\n",
       "      <td>-99999.0</td>\n",
       "      <td>6.87</td>\n",
       "      <td>25.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-08-27 12:00:00+00:00</th>\n",
       "      <td>25.23</td>\n",
       "      <td>-99999.0</td>\n",
       "      <td>25.04</td>\n",
       "      <td>24.77</td>\n",
       "      <td>-99999.0</td>\n",
       "      <td>23.74</td>\n",
       "      <td>20.10</td>\n",
       "      <td>25.19</td>\n",
       "      <td>12.23</td>\n",
       "      <td>25.19</td>\n",
       "      <td>-99999.0</td>\n",
       "      <td>6.86</td>\n",
       "      <td>25.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-08-28 12:00:00+00:00</th>\n",
       "      <td>25.25</td>\n",
       "      <td>-99999.0</td>\n",
       "      <td>24.90</td>\n",
       "      <td>24.78</td>\n",
       "      <td>-99999.0</td>\n",
       "      <td>23.81</td>\n",
       "      <td>20.21</td>\n",
       "      <td>25.21</td>\n",
       "      <td>12.48</td>\n",
       "      <td>25.11</td>\n",
       "      <td>-99999.0</td>\n",
       "      <td>6.79</td>\n",
       "      <td>25.04</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      "text/plain": [
       "                             t_1     t_10  t_100  t_120     t_13  t_140  \\\n",
       "datahora                                                                  \n",
       "2005-08-24 12:00:00+00:00  25.19 -99999.0  25.20  24.89 -99999.0  23.79   \n",
       "2005-08-25 12:00:00+00:00  25.19 -99999.0  25.17  24.72 -99999.0  23.61   \n",
       "2005-08-26 12:00:00+00:00  25.26 -99999.0  25.13  24.74 -99999.0  23.63   \n",
       "2005-08-27 12:00:00+00:00  25.23 -99999.0  25.04  24.77 -99999.0  23.74   \n",
       "2005-08-28 12:00:00+00:00  25.25 -99999.0  24.90  24.78 -99999.0  23.81   \n",
       "\n",
       "                           t_180   t_20  t_300   t_40      t_5  t_500   t_60  \n",
       "datahora                                                                      \n",
       "2005-08-24 12:00:00+00:00  20.60  25.17  12.46  25.17 -99999.0   6.82  25.19  \n",
       "2005-08-25 12:00:00+00:00  20.31  25.18  12.27  25.18 -99999.0   6.85  25.21  \n",
       "2005-08-26 12:00:00+00:00  20.43  25.24  12.36  25.22 -99999.0   6.87  25.20  \n",
       "2005-08-27 12:00:00+00:00  20.10  25.19  12.23  25.19 -99999.0   6.86  25.14  \n",
       "2005-08-28 12:00:00+00:00  20.21  25.21  12.48  25.11 -99999.0   6.79  25.04  "
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "\n",
    "url = \"https://raw.githubusercontent.com/ocefpaf/2018-Jun-SWC-Floripa/master/data/dados_pirata.csv\"\n",
    "\n",
    "df = pd.read_csv(\n",
    "    url,\n",
    "    index_col=\"datahora\",\n",
    "    parse_dates=True,\n",
    "    usecols=range(1, 15),\n",
    ")\n",
    "\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercício: check a documentação do pandas, procure por *na_values*. O que isso faz? Como podemos usar aqui?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
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       "      <th>t_500</th>\n",
       "      <th>t_60</th>\n",
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       "      <th>datahora</th>\n",
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       "      <td>25.17</td>\n",
       "      <td>24.72</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.61</td>\n",
       "      <td>20.31</td>\n",
       "      <td>25.18</td>\n",
       "      <td>12.27</td>\n",
       "      <td>25.18</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.85</td>\n",
       "      <td>25.21</td>\n",
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       "      <th>2005-08-26 12:00:00+00:00</th>\n",
       "      <td>25.26</td>\n",
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       "      <td>25.13</td>\n",
       "      <td>24.74</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.63</td>\n",
       "      <td>20.43</td>\n",
       "      <td>25.24</td>\n",
       "      <td>12.36</td>\n",
       "      <td>25.22</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.87</td>\n",
       "      <td>25.20</td>\n",
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       "      <th>2005-08-27 12:00:00+00:00</th>\n",
       "      <td>25.23</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.04</td>\n",
       "      <td>24.77</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.74</td>\n",
       "      <td>20.10</td>\n",
       "      <td>25.19</td>\n",
       "      <td>12.23</td>\n",
       "      <td>25.19</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.86</td>\n",
       "      <td>25.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-08-28 12:00:00+00:00</th>\n",
       "      <td>25.25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.90</td>\n",
       "      <td>24.78</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.81</td>\n",
       "      <td>20.21</td>\n",
       "      <td>25.21</td>\n",
       "      <td>12.48</td>\n",
       "      <td>25.11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.79</td>\n",
       "      <td>25.04</td>\n",
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      "text/plain": [
       "                             t_1  t_10  t_100  t_120  t_13  t_140  t_180  \\\n",
       "datahora                                                                   \n",
       "2005-08-24 12:00:00+00:00  25.19   NaN  25.20  24.89   NaN  23.79  20.60   \n",
       "2005-08-25 12:00:00+00:00  25.19   NaN  25.17  24.72   NaN  23.61  20.31   \n",
       "2005-08-26 12:00:00+00:00  25.26   NaN  25.13  24.74   NaN  23.63  20.43   \n",
       "2005-08-27 12:00:00+00:00  25.23   NaN  25.04  24.77   NaN  23.74  20.10   \n",
       "2005-08-28 12:00:00+00:00  25.25   NaN  24.90  24.78   NaN  23.81  20.21   \n",
       "\n",
       "                            t_20  t_300   t_40  t_5  t_500   t_60  \n",
       "datahora                                                           \n",
       "2005-08-24 12:00:00+00:00  25.17  12.46  25.17  NaN   6.82  25.19  \n",
       "2005-08-25 12:00:00+00:00  25.18  12.27  25.18  NaN   6.85  25.21  \n",
       "2005-08-26 12:00:00+00:00  25.24  12.36  25.22  NaN   6.87  25.20  \n",
       "2005-08-27 12:00:00+00:00  25.19  12.23  25.19  NaN   6.86  25.14  \n",
       "2005-08-28 12:00:00+00:00  25.21  12.48  25.11  NaN   6.79  25.04  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(\n",
    "    url,\n",
    "    index_col=\"datahora\",\n",
    "    parse_dates=True,\n",
    "    usecols=range(1, 15),\n",
    "    na_values=-99999,\n",
    ")\n",
    "\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Truque para remover o *t_* e ordenar as colunas por profundidade."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
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       "      <td>25.18</td>\n",
       "      <td>25.21</td>\n",
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       "      <td>23.61</td>\n",
       "      <td>20.31</td>\n",
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       "      <td>6.85</td>\n",
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       "      <th>2005-08-26 12:00:00+00:00</th>\n",
       "      <td>25.26</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.24</td>\n",
       "      <td>25.22</td>\n",
       "      <td>25.20</td>\n",
       "      <td>25.13</td>\n",
       "      <td>24.74</td>\n",
       "      <td>23.63</td>\n",
       "      <td>20.43</td>\n",
       "      <td>12.36</td>\n",
       "      <td>6.87</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>25.19</td>\n",
       "      <td>25.19</td>\n",
       "      <td>25.14</td>\n",
       "      <td>25.04</td>\n",
       "      <td>24.77</td>\n",
       "      <td>23.74</td>\n",
       "      <td>20.10</td>\n",
       "      <td>12.23</td>\n",
       "      <td>6.86</td>\n",
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       "      <th>2005-08-28 12:00:00+00:00</th>\n",
       "      <td>25.25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.21</td>\n",
       "      <td>25.11</td>\n",
       "      <td>25.04</td>\n",
       "      <td>24.90</td>\n",
       "      <td>24.78</td>\n",
       "      <td>23.81</td>\n",
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      "text/plain": [
       "                             001  005  010  013    020    040    060    100  \\\n",
       "datahora                                                                      \n",
       "2005-08-24 12:00:00+00:00  25.19  NaN  NaN  NaN  25.17  25.17  25.19  25.20   \n",
       "2005-08-25 12:00:00+00:00  25.19  NaN  NaN  NaN  25.18  25.18  25.21  25.17   \n",
       "2005-08-26 12:00:00+00:00  25.26  NaN  NaN  NaN  25.24  25.22  25.20  25.13   \n",
       "2005-08-27 12:00:00+00:00  25.23  NaN  NaN  NaN  25.19  25.19  25.14  25.04   \n",
       "2005-08-28 12:00:00+00:00  25.25  NaN  NaN  NaN  25.21  25.11  25.04  24.90   \n",
       "\n",
       "                             120    140    180    300   500  \n",
       "datahora                                                     \n",
       "2005-08-24 12:00:00+00:00  24.89  23.79  20.60  12.46  6.82  \n",
       "2005-08-25 12:00:00+00:00  24.72  23.61  20.31  12.27  6.85  \n",
       "2005-08-26 12:00:00+00:00  24.74  23.63  20.43  12.36  6.87  \n",
       "2005-08-27 12:00:00+00:00  24.77  23.74  20.10  12.23  6.86  \n",
       "2005-08-28 12:00:00+00:00  24.78  23.81  20.21  12.48  6.79  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns = [\n",
    "    f\"{col.split('_')[1]:0>3}\"\n",
    "    for col in df.columns\n",
    "]\n",
    "\n",
    "df.sort_index(axis=1, inplace=True)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x378 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(13, 5.25))\n",
    "df.plot(ax=ax);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercício: existe um \"gap\" de dados faltando bem grande entre 2014-2016, cheque a documentação do método *.dropna()* e veja como podemos utilizá-lo aqui para \"limpar\" os dados um pouco."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>001</th>\n",
       "      <th>020</th>\n",
       "      <th>040</th>\n",
       "      <th>060</th>\n",
       "      <th>100</th>\n",
       "      <th>120</th>\n",
       "      <th>140</th>\n",
       "      <th>180</th>\n",
       "      <th>300</th>\n",
       "      <th>500</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>datahora</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2005-08-24 12:00:00+00:00</th>\n",
       "      <td>25.19</td>\n",
       "      <td>25.17</td>\n",
       "      <td>25.17</td>\n",
       "      <td>25.19</td>\n",
       "      <td>25.20</td>\n",
       "      <td>24.89</td>\n",
       "      <td>23.79</td>\n",
       "      <td>20.60</td>\n",
       "      <td>12.46</td>\n",
       "      <td>6.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-08-25 12:00:00+00:00</th>\n",
       "      <td>25.19</td>\n",
       "      <td>25.18</td>\n",
       "      <td>25.18</td>\n",
       "      <td>25.21</td>\n",
       "      <td>25.17</td>\n",
       "      <td>24.72</td>\n",
       "      <td>23.61</td>\n",
       "      <td>20.31</td>\n",
       "      <td>12.27</td>\n",
       "      <td>6.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-08-26 12:00:00+00:00</th>\n",
       "      <td>25.26</td>\n",
       "      <td>25.24</td>\n",
       "      <td>25.22</td>\n",
       "      <td>25.20</td>\n",
       "      <td>25.13</td>\n",
       "      <td>24.74</td>\n",
       "      <td>23.63</td>\n",
       "      <td>20.43</td>\n",
       "      <td>12.36</td>\n",
       "      <td>6.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-08-27 12:00:00+00:00</th>\n",
       "      <td>25.23</td>\n",
       "      <td>25.19</td>\n",
       "      <td>25.19</td>\n",
       "      <td>25.14</td>\n",
       "      <td>25.04</td>\n",
       "      <td>24.77</td>\n",
       "      <td>23.74</td>\n",
       "      <td>20.10</td>\n",
       "      <td>12.23</td>\n",
       "      <td>6.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-08-28 12:00:00+00:00</th>\n",
       "      <td>25.25</td>\n",
       "      <td>25.21</td>\n",
       "      <td>25.11</td>\n",
       "      <td>25.04</td>\n",
       "      <td>24.90</td>\n",
       "      <td>24.78</td>\n",
       "      <td>23.81</td>\n",
       "      <td>20.21</td>\n",
       "      <td>12.48</td>\n",
       "      <td>6.79</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             001    020    040    060    100    120    140  \\\n",
       "datahora                                                                     \n",
       "2005-08-24 12:00:00+00:00  25.19  25.17  25.17  25.19  25.20  24.89  23.79   \n",
       "2005-08-25 12:00:00+00:00  25.19  25.18  25.18  25.21  25.17  24.72  23.61   \n",
       "2005-08-26 12:00:00+00:00  25.26  25.24  25.22  25.20  25.13  24.74  23.63   \n",
       "2005-08-27 12:00:00+00:00  25.23  25.19  25.19  25.14  25.04  24.77  23.74   \n",
       "2005-08-28 12:00:00+00:00  25.25  25.21  25.11  25.04  24.90  24.78  23.81   \n",
       "\n",
       "                             180    300   500  \n",
       "datahora                                       \n",
       "2005-08-24 12:00:00+00:00  20.60  12.46  6.82  \n",
       "2005-08-25 12:00:00+00:00  20.31  12.27  6.85  \n",
       "2005-08-26 12:00:00+00:00  20.43  12.36  6.87  \n",
       "2005-08-27 12:00:00+00:00  20.10  12.23  6.86  \n",
       "2005-08-28 12:00:00+00:00  20.21  12.48  6.79  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dropna(axis=1, how=\"all\", inplace=True)\n",
    "\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>001</th>\n",
       "      <th>020</th>\n",
       "      <th>040</th>\n",
       "      <th>060</th>\n",
       "      <th>100</th>\n",
       "      <th>120</th>\n",
       "      <th>140</th>\n",
       "      <th>180</th>\n",
       "      <th>300</th>\n",
       "      <th>500</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>3206.000000</td>\n",
       "      <td>2949.000000</td>\n",
       "      <td>3408.000000</td>\n",
       "      <td>3408.000000</td>\n",
       "      <td>3407.000000</td>\n",
       "      <td>3405.000000</td>\n",
       "      <td>3405.000000</td>\n",
       "      <td>3405.000000</td>\n",
       "      <td>3405.000000</td>\n",
       "      <td>3405.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>26.903054</td>\n",
       "      <td>26.856673</td>\n",
       "      <td>26.746086</td>\n",
       "      <td>26.283706</td>\n",
       "      <td>24.681382</td>\n",
       "      <td>23.947416</td>\n",
       "      <td>23.076496</td>\n",
       "      <td>20.080417</td>\n",
       "      <td>12.359806</td>\n",
       "      <td>6.675656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.030174</td>\n",
       "      <td>0.999788</td>\n",
       "      <td>0.992836</td>\n",
       "      <td>0.840345</td>\n",
       "      <td>0.500878</td>\n",
       "      <td>0.607452</td>\n",
       "      <td>0.755077</td>\n",
       "      <td>1.081181</td>\n",
       "      <td>0.461918</td>\n",
       "      <td>0.266193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>24.710000</td>\n",
       "      <td>24.820000</td>\n",
       "      <td>24.630000</td>\n",
       "      <td>24.550000</td>\n",
       "      <td>22.850000</td>\n",
       "      <td>21.450000</td>\n",
       "      <td>20.110000</td>\n",
       "      <td>17.210000</td>\n",
       "      <td>10.930000</td>\n",
       "      <td>5.620000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>26.020000</td>\n",
       "      <td>25.970000</td>\n",
       "      <td>25.880000</td>\n",
       "      <td>25.590000</td>\n",
       "      <td>24.350000</td>\n",
       "      <td>23.550000</td>\n",
       "      <td>22.590000</td>\n",
       "      <td>19.260000</td>\n",
       "      <td>12.050000</td>\n",
       "      <td>6.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>26.940000</td>\n",
       "      <td>26.900000</td>\n",
       "      <td>26.820000</td>\n",
       "      <td>26.210000</td>\n",
       "      <td>24.660000</td>\n",
       "      <td>23.920000</td>\n",
       "      <td>23.090000</td>\n",
       "      <td>20.100000</td>\n",
       "      <td>12.370000</td>\n",
       "      <td>6.700000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>27.750000</td>\n",
       "      <td>27.720000</td>\n",
       "      <td>27.580000</td>\n",
       "      <td>26.960000</td>\n",
       "      <td>24.990000</td>\n",
       "      <td>24.350000</td>\n",
       "      <td>23.620000</td>\n",
       "      <td>20.880000</td>\n",
       "      <td>12.670000</td>\n",
       "      <td>6.840000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>29.090000</td>\n",
       "      <td>28.840000</td>\n",
       "      <td>28.790000</td>\n",
       "      <td>28.580000</td>\n",
       "      <td>26.450000</td>\n",
       "      <td>25.580000</td>\n",
       "      <td>25.180000</td>\n",
       "      <td>23.210000</td>\n",
       "      <td>13.630000</td>\n",
       "      <td>7.790000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               001          020          040          060          100  \\\n",
       "count  3206.000000  2949.000000  3408.000000  3408.000000  3407.000000   \n",
       "mean     26.903054    26.856673    26.746086    26.283706    24.681382   \n",
       "std       1.030174     0.999788     0.992836     0.840345     0.500878   \n",
       "min      24.710000    24.820000    24.630000    24.550000    22.850000   \n",
       "25%      26.020000    25.970000    25.880000    25.590000    24.350000   \n",
       "50%      26.940000    26.900000    26.820000    26.210000    24.660000   \n",
       "75%      27.750000    27.720000    27.580000    26.960000    24.990000   \n",
       "max      29.090000    28.840000    28.790000    28.580000    26.450000   \n",
       "\n",
       "               120          140          180          300          500  \n",
       "count  3405.000000  3405.000000  3405.000000  3405.000000  3405.000000  \n",
       "mean     23.947416    23.076496    20.080417    12.359806     6.675656  \n",
       "std       0.607452     0.755077     1.081181     0.461918     0.266193  \n",
       "min      21.450000    20.110000    17.210000    10.930000     5.620000  \n",
       "25%      23.550000    22.590000    19.260000    12.050000     6.500000  \n",
       "50%      23.920000    23.090000    20.100000    12.370000     6.700000  \n",
       "75%      24.350000    23.620000    20.880000    12.670000     6.840000  \n",
       "max      25.580000    25.180000    23.210000    13.630000     7.790000  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "desc = df.describe()\n",
    "\n",
    "desc"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercício: usando o dataframe *desc* calcule a variância dos dados em cada profundidade."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "001    1.061258\n",
       "020    0.999577\n",
       "040    0.985722\n",
       "060    0.706179\n",
       "100    0.250879\n",
       "120    0.368998\n",
       "140    0.570141\n",
       "180    1.168953\n",
       "300    0.213368\n",
       "500    0.070859\n",
       "Name: std, dtype: float64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "desc.loc[\"std\"] ** 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "O que está acontecendo em 180 m?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>datahora</th>\n",
       "      <th>2005-12-31 00:00:00+00:00</th>\n",
       "      <th>2006-12-31 00:00:00+00:00</th>\n",
       "      <th>2007-12-31 00:00:00+00:00</th>\n",
       "      <th>2008-12-31 00:00:00+00:00</th>\n",
       "      <th>2009-12-31 00:00:00+00:00</th>\n",
       "      <th>2010-12-31 00:00:00+00:00</th>\n",
       "      <th>2011-12-31 00:00:00+00:00</th>\n",
       "      <th>2012-12-31 00:00:00+00:00</th>\n",
       "      <th>2013-12-31 00:00:00+00:00</th>\n",
       "      <th>2014-12-31 00:00:00+00:00</th>\n",
       "      <th>2015-12-31 00:00:00+00:00</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>001</th>\n",
       "      <td>26.276692</td>\n",
       "      <td>27.059973</td>\n",
       "      <td>26.679671</td>\n",
       "      <td>26.797077</td>\n",
       "      <td>27.280495</td>\n",
       "      <td>27.193489</td>\n",
       "      <td>27.242060</td>\n",
       "      <td>26.354192</td>\n",
       "      <td>26.801054</td>\n",
       "      <td>26.571006</td>\n",
       "      <td>27.401021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>020</th>\n",
       "      <td>26.192462</td>\n",
       "      <td>26.971233</td>\n",
       "      <td>27.225764</td>\n",
       "      <td>26.251770</td>\n",
       "      <td>27.226429</td>\n",
       "      <td>27.142775</td>\n",
       "      <td>26.856767</td>\n",
       "      <td>26.304883</td>\n",
       "      <td>26.980208</td>\n",
       "      <td>26.204833</td>\n",
       "      <td>27.330936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>040</th>\n",
       "      <td>26.007231</td>\n",
       "      <td>26.859233</td>\n",
       "      <td>26.563178</td>\n",
       "      <td>26.620464</td>\n",
       "      <td>27.128352</td>\n",
       "      <td>27.056648</td>\n",
       "      <td>26.763781</td>\n",
       "      <td>26.304973</td>\n",
       "      <td>26.816088</td>\n",
       "      <td>26.103200</td>\n",
       "      <td>27.279021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>060</th>\n",
       "      <td>25.517538</td>\n",
       "      <td>26.497233</td>\n",
       "      <td>26.226795</td>\n",
       "      <td>25.906120</td>\n",
       "      <td>26.465549</td>\n",
       "      <td>26.604780</td>\n",
       "      <td>26.365644</td>\n",
       "      <td>26.061721</td>\n",
       "      <td>26.381543</td>\n",
       "      <td>25.671280</td>\n",
       "      <td>26.666468</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>24.636000</td>\n",
       "      <td>24.790000</td>\n",
       "      <td>24.779890</td>\n",
       "      <td>24.348579</td>\n",
       "      <td>24.744258</td>\n",
       "      <td>24.717473</td>\n",
       "      <td>24.793726</td>\n",
       "      <td>24.711093</td>\n",
       "      <td>24.629972</td>\n",
       "      <td>24.678226</td>\n",
       "      <td>24.610128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>24.268538</td>\n",
       "      <td>23.979671</td>\n",
       "      <td>24.059534</td>\n",
       "      <td>23.599208</td>\n",
       "      <td>23.997198</td>\n",
       "      <td>24.050632</td>\n",
       "      <td>24.208219</td>\n",
       "      <td>23.947158</td>\n",
       "      <td>23.806612</td>\n",
       "      <td>24.009344</td>\n",
       "      <td>23.631532</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>23.729154</td>\n",
       "      <td>23.212411</td>\n",
       "      <td>23.095452</td>\n",
       "      <td>22.793361</td>\n",
       "      <td>22.997857</td>\n",
       "      <td>23.062802</td>\n",
       "      <td>23.549315</td>\n",
       "      <td>23.081093</td>\n",
       "      <td>22.954408</td>\n",
       "      <td>22.929754</td>\n",
       "      <td>22.582128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>20.599769</td>\n",
       "      <td>20.438904</td>\n",
       "      <td>19.685479</td>\n",
       "      <td>20.214945</td>\n",
       "      <td>19.860879</td>\n",
       "      <td>19.634286</td>\n",
       "      <td>20.699562</td>\n",
       "      <td>19.913770</td>\n",
       "      <td>20.705427</td>\n",
       "      <td>19.940410</td>\n",
       "      <td>19.076426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>12.362077</td>\n",
       "      <td>12.374027</td>\n",
       "      <td>12.034000</td>\n",
       "      <td>12.215055</td>\n",
       "      <td>12.451374</td>\n",
       "      <td>12.255412</td>\n",
       "      <td>12.649288</td>\n",
       "      <td>12.205383</td>\n",
       "      <td>12.734298</td>\n",
       "      <td>12.601148</td>\n",
       "      <td>12.174936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>500</th>\n",
       "      <td>6.582231</td>\n",
       "      <td>6.389123</td>\n",
       "      <td>6.482521</td>\n",
       "      <td>6.672923</td>\n",
       "      <td>6.772088</td>\n",
       "      <td>6.772527</td>\n",
       "      <td>6.826548</td>\n",
       "      <td>6.699399</td>\n",
       "      <td>6.872893</td>\n",
       "      <td>6.605246</td>\n",
       "      <td>6.637745</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "datahora  2005-12-31 00:00:00+00:00  2006-12-31 00:00:00+00:00  \\\n",
       "001                       26.276692                  27.059973   \n",
       "020                       26.192462                  26.971233   \n",
       "040                       26.007231                  26.859233   \n",
       "060                       25.517538                  26.497233   \n",
       "100                       24.636000                  24.790000   \n",
       "120                       24.268538                  23.979671   \n",
       "140                       23.729154                  23.212411   \n",
       "180                       20.599769                  20.438904   \n",
       "300                       12.362077                  12.374027   \n",
       "500                        6.582231                   6.389123   \n",
       "\n",
       "datahora  2007-12-31 00:00:00+00:00  2008-12-31 00:00:00+00:00  \\\n",
       "001                       26.679671                  26.797077   \n",
       "020                       27.225764                  26.251770   \n",
       "040                       26.563178                  26.620464   \n",
       "060                       26.226795                  25.906120   \n",
       "100                       24.779890                  24.348579   \n",
       "120                       24.059534                  23.599208   \n",
       "140                       23.095452                  22.793361   \n",
       "180                       19.685479                  20.214945   \n",
       "300                       12.034000                  12.215055   \n",
       "500                        6.482521                   6.672923   \n",
       "\n",
       "datahora  2009-12-31 00:00:00+00:00  2010-12-31 00:00:00+00:00  \\\n",
       "001                       27.280495                  27.193489   \n",
       "020                       27.226429                  27.142775   \n",
       "040                       27.128352                  27.056648   \n",
       "060                       26.465549                  26.604780   \n",
       "100                       24.744258                  24.717473   \n",
       "120                       23.997198                  24.050632   \n",
       "140                       22.997857                  23.062802   \n",
       "180                       19.860879                  19.634286   \n",
       "300                       12.451374                  12.255412   \n",
       "500                        6.772088                   6.772527   \n",
       "\n",
       "datahora  2011-12-31 00:00:00+00:00  2012-12-31 00:00:00+00:00  \\\n",
       "001                       27.242060                  26.354192   \n",
       "020                       26.856767                  26.304883   \n",
       "040                       26.763781                  26.304973   \n",
       "060                       26.365644                  26.061721   \n",
       "100                       24.793726                  24.711093   \n",
       "120                       24.208219                  23.947158   \n",
       "140                       23.549315                  23.081093   \n",
       "180                       20.699562                  19.913770   \n",
       "300                       12.649288                  12.205383   \n",
       "500                        6.826548                   6.699399   \n",
       "\n",
       "datahora  2013-12-31 00:00:00+00:00  2014-12-31 00:00:00+00:00  \\\n",
       "001                       26.801054                  26.571006   \n",
       "020                       26.980208                  26.204833   \n",
       "040                       26.816088                  26.103200   \n",
       "060                       26.381543                  25.671280   \n",
       "100                       24.629972                  24.678226   \n",
       "120                       23.806612                  24.009344   \n",
       "140                       22.954408                  22.929754   \n",
       "180                       20.705427                  19.940410   \n",
       "300                       12.734298                  12.601148   \n",
       "500                        6.872893                   6.605246   \n",
       "\n",
       "datahora  2015-12-31 00:00:00+00:00  \n",
       "001                       27.401021  \n",
       "020                       27.330936  \n",
       "040                       27.279021  \n",
       "060                       26.666468  \n",
       "100                       24.610128  \n",
       "120                       23.631532  \n",
       "140                       22.582128  \n",
       "180                       19.076426  \n",
       "300                       12.174936  \n",
       "500                        6.637745  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grouped = df.groupby(pd.Grouper(freq=\"Y\"))\n",
    "\n",
    "year = grouped.mean()\n",
    "year = year.T\n",
    "year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(9, 9))\n",
    "\n",
    "ax.plot(year, year.index, \"o-\")\n",
    "ax.invert_yaxis();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercício:\n",
    "\n",
    "- repita o `groupby` mas use meses ao invés de anos;\n",
    "- plot as series temporais das médias dos meses."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "grouped = df.groupby(pd.Grouper(freq=\"M\"))\n",
    "\n",
    "monthly = grouped.mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(9, 9))\n",
    "\n",
    "ax.plot(monthly.T, monthly.T.index, \"o-\")\n",
    "ax.invert_yaxis();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "monthly.plot();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Uma forma de comparar as séries temporais com variâncias diferentes é normalizar pelo z-score:\n",
    "\n",
    "$$ z = \\frac{x - \\mu}{\\sigma} $$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>001</th>\n",
       "      <th>020</th>\n",
       "      <th>040</th>\n",
       "      <th>060</th>\n",
       "      <th>100</th>\n",
       "      <th>120</th>\n",
       "      <th>140</th>\n",
       "      <th>180</th>\n",
       "      <th>300</th>\n",
       "      <th>500</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>datahora</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2005-08-31 00:00:00+00:00</th>\n",
       "      <td>-1.551135</td>\n",
       "      <td>-1.569736</td>\n",
       "      <td>-1.538145</td>\n",
       "      <td>-1.360202</td>\n",
       "      <td>0.807872</td>\n",
       "      <td>1.126587</td>\n",
       "      <td>0.786700</td>\n",
       "      <td>0.103850</td>\n",
       "      <td>0.009586</td>\n",
       "      <td>0.725919</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-09-30 00:00:00+00:00</th>\n",
       "      <td>-1.200917</td>\n",
       "      <td>-1.276258</td>\n",
       "      <td>-1.444633</td>\n",
       "      <td>-1.417834</td>\n",
       "      <td>0.671656</td>\n",
       "      <td>1.800520</td>\n",
       "      <td>2.442366</td>\n",
       "      <td>1.448467</td>\n",
       "      <td>0.295873</td>\n",
       "      <td>0.532654</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-10-31 00:00:00+00:00</th>\n",
       "      <td>-0.969280</td>\n",
       "      <td>-1.016304</td>\n",
       "      <td>-1.167608</td>\n",
       "      <td>-1.477122</td>\n",
       "      <td>-0.644628</td>\n",
       "      <td>0.356722</td>\n",
       "      <td>0.903822</td>\n",
       "      <td>0.500241</td>\n",
       "      <td>-0.368194</td>\n",
       "      <td>-0.423355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-11-30 00:00:00+00:00</th>\n",
       "      <td>-0.273606</td>\n",
       "      <td>-0.305705</td>\n",
       "      <td>-0.396282</td>\n",
       "      <td>-0.657090</td>\n",
       "      <td>-0.680354</td>\n",
       "      <td>-0.285617</td>\n",
       "      <td>-0.224988</td>\n",
       "      <td>-0.814006</td>\n",
       "      <td>-0.530372</td>\n",
       "      <td>-1.207086</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-12-31 00:00:00+00:00</th>\n",
       "      <td>0.277647</td>\n",
       "      <td>0.299677</td>\n",
       "      <td>0.263533</td>\n",
       "      <td>-0.127618</td>\n",
       "      <td>-0.148453</td>\n",
       "      <td>0.483560</td>\n",
       "      <td>1.257768</td>\n",
       "      <td>1.137027</td>\n",
       "      <td>0.527256</td>\n",
       "      <td>-0.775740</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                001       020       040       060       100  \\\n",
       "datahora                                                                      \n",
       "2005-08-31 00:00:00+00:00 -1.551135 -1.569736 -1.538145 -1.360202  0.807872   \n",
       "2005-09-30 00:00:00+00:00 -1.200917 -1.276258 -1.444633 -1.417834  0.671656   \n",
       "2005-10-31 00:00:00+00:00 -0.969280 -1.016304 -1.167608 -1.477122 -0.644628   \n",
       "2005-11-30 00:00:00+00:00 -0.273606 -0.305705 -0.396282 -0.657090 -0.680354   \n",
       "2005-12-31 00:00:00+00:00  0.277647  0.299677  0.263533 -0.127618 -0.148453   \n",
       "\n",
       "                                120       140       180       300       500  \n",
       "datahora                                                                     \n",
       "2005-08-31 00:00:00+00:00  1.126587  0.786700  0.103850  0.009586  0.725919  \n",
       "2005-09-30 00:00:00+00:00  1.800520  2.442366  1.448467  0.295873  0.532654  \n",
       "2005-10-31 00:00:00+00:00  0.356722  0.903822  0.500241 -0.368194 -0.423355  \n",
       "2005-11-30 00:00:00+00:00 -0.285617 -0.224988 -0.814006 -0.530372 -1.207086  \n",
       "2005-12-31 00:00:00+00:00  0.483560  1.257768  1.137027  0.527256 -0.775740  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "zscore = (monthly - monthly.mean(axis=0)) / monthly.std()\n",
    "\n",
    "zscore.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "(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, callback) {\n",
       "    if (css_urls == null) css_urls = [];\n",
       "    if (js_urls == null) js_urls = [];\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 == null || js_urls.length === 0) {\n",
       "      run_callbacks();\n",
       "      return null;\n",
       "    }\n",
       "    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "    root._bokeh_is_loading = css_urls.length + js_urls.length;\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",
       "    if (window.requirejs) {\n",
       "      require([], function() {\n",
       "        run_callbacks();\n",
       "      })\n",
       "    } else {\n",
       "      var skip = [];\n",
       "      for (var i = 0; i < js_urls.length; i++) {\n",
       "        var url = js_urls[i];\n",
       "        if (skip.indexOf(url) >= 0) { on_load(); continue; }\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",
       "    }\n",
       "  };\n",
       "\n",
       "  function inject_raw_css(css) {\n",
       "    const element = document.createElement(\"style\");\n",
       "    element.appendChild(document.createTextNode(css));\n",
       "    document.body.appendChild(element);\n",
       "  }\n",
       "\n",
       "  var js_urls = [];\n",
       "  var css_urls = [];\n",
       "\n",
       "  var inline_js = [\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, th, 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",
       "    },\n",
       "    function(Bokeh) {\n",
       "      inject_raw_css(\".widget-box {\\n\\tmin-height: 20px;\\n\\tbackground-color: #f5f5f5;\\n\\tborder: 1px solid #e3e3e3 !important;\\n\\tborder-radius: 4px;\\n\\t-webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n\\tbox-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n\\toverflow-x: hidden;\\n\\toverflow-y: hidden;\\n}\\n\\n.scrollable {\\n  overflow: scroll;\\n}\\n\\nprogress {\\n\\tappearance: none;\\n\\t-moz-appearance: none;\\n\\t-webkit-appearance: none;\\n\\n\\tborder: none;\\n\\theight: 20px;\\n\\tbackground-color: whiteSmoke;\\n\\tborder-radius: 3px;\\n\\tbox-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n\\tcolor: royalblue;\\n\\tposition: relative;\\n\\tmargin: 0 0 1.5em;\\n}\\n\\nprogress[value]::-webkit-progress-bar {\\n\\tbackground-color: whiteSmoke;\\n\\tborder-radius: 3px;\\n\\tbox-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n}\\n\\nprogress[value]::-webkit-progress-value {\\n\\tposition: relative;\\n\\n\\tbackground-size: 35px 20px, 100% 100%, 100% 100%;\\n\\tborder-radius:3px;\\n}\\n\\nprogress.active:not([value])::before {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress[value]::-moz-progress-bar {\\n\\tbackground-size: 35px 20px, 100% 100%, 100% 100%;\\n\\tborder-radius:3px;\\n}\\n\\nprogress:not([value])::-moz-progress-bar {\\n\\tborder-radius:3px;\\n\\tbackground:\\n\\tlinear-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\\nprogress.active:not([value])::-moz-progress-bar {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress.active:not([value])::-webkit-progress-bar {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-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\\tborder-radius: 3px;\\n\\tbackground:\\n\\tlinear-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\\tcontent:\\\" \\\";\\n\\tposition:absolute;\\n\\theight: 20px;\\n\\ttop:0;\\n\\tleft:0;\\n\\tright:0;\\n\\tbottom:0;\\n\\tborder-radius: 3px;\\n\\tbackground:\\n\\tlinear-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",
       "    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",
       "    },\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: 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.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",
       "    },\n",
       "    function(Bokeh) {\n",
       "      /* BEGIN bokeh.min.js */\n",
       "      /*!\n",
       "       * Copyright (c) 2012 - 2020, 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",
       "        root[\"Bokeh\"] = factory();\n",
       "      })(this, function() {\n",
       "        var define;\n",
       "        var 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",
       "          var cache = {};\n",
       "\n",
       "          var normalize = function(name) {\n",
       "            if (typeof name === \"number\")\n",
       "              return name;\n",
       "\n",
       "            if (name === \"bokehjs\")\n",
       "              return entry;\n",
       "\n",
       "            var prefix = \"@bokehjs/\"\n",
       "            if (name.slice(0, prefix.length) === prefix)\n",
       "              name = name.slice(prefix.length)\n",
       "\n",
       "            var alias = aliases[name]\n",
       "            if (alias != null)\n",
       "              return alias;\n",
       "\n",
       "            var trailing = name.length > 0 && name[name.lenght-1] === \"/\";\n",
       "            var index = aliases[name + (trailing ? \"\" : \"/\") + \"index\"];\n",
       "            if (index != null)\n",
       "              return index;\n",
       "\n",
       "            return name;\n",
       "          }\n",
       "\n",
       "          var require = function(name) {\n",
       "            var mod = cache[name];\n",
       "            if (!mod) {\n",
       "              var 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",
       "                  var 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",
       "                modules[id].call(mod.exports, require, mod, mod.exports);\n",
       "              } else\n",
       "                cache[name] = mod;\n",
       "            }\n",
       "\n",
       "            return mod.exports;\n",
       "          }\n",
       "\n",
       "          var 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 (var name in plugin_modules) {\n",
       "              modules[name] = plugin_modules[name];\n",
       "            }\n",
       "\n",
       "            for (var name in plugin_aliases) {\n",
       "              aliases[name] = plugin_aliases[name];\n",
       "            }\n",
       "\n",
       "            for (var name in plugin_externals) {\n",
       "              externals[name] = plugin_externals[name];\n",
       "            }\n",
       "\n",
       "            var plugin = require(plugin_entry);\n",
       "\n",
       "            for (var name in plugin) {\n",
       "              main[name] = plugin[name];\n",
       "            }\n",
       "\n",
       "            return plugin;\n",
       "          }\n",
       "\n",
       "          return main;\n",
       "        })\n",
       "      ([\n",
       "      function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0}),e(1).__exportStar(e(2),_)},\n",
       "      function _(t,e,n){\n",
       "      /*! *****************************************************************************\n",
       "          Copyright (c) Microsoft Corporation. All rights reserved.\n",
       "          Licensed under the Apache License, Version 2.0 (the \"License\"); you may not use\n",
       "          this file except in compliance with the License. You may obtain a copy of the\n",
       "          License at http://www.apache.org/licenses/LICENSE-2.0\n",
       "          \n",
       "          THIS CODE IS PROVIDED ON AN *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n",
       "          KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED\n",
       "          WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,\n",
       "          MERCHANTABLITY OR NON-INFRINGEMENT.\n",
       "          \n",
       "          See the Apache Version 2.0 License for specific language governing permissions\n",
       "          and limitations under the License.\n",
       "          ***************************************************************************** */\n",
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       "      function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0});const o=e(1);o.__exportStar(e(6),_),o.__exportStar(e(103),_)},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=e(7),n=e(3),i=e(70),r=e(281),_=e(13),l=e(14),a=e(24),c=e(100),d=e(15),h=e(9),f=e(23),u=e(16),m=e(8),g=e(244),v=e(73),p=e(69),w=e(103);class b{constructor(e){this.document=e,this.session=null,this.subscribed_models=new Set}send_event(e){const t=new w.MessageSentEvent(this.document,\"bokeh_event\",e.to_json());this.document._trigger_on_change(t)}trigger(e){for(const t of this.subscribed_models){if(null!=e.origin&&e.origin.id!==t)continue;const s=this.document._all_models[t];null!=s&&s instanceof p.Model&&s._process_event(e)}}}s.EventManager=b,b.__name__=\"EventManager\",s.documents=[],s.DEFAULT_TITLE=\"Bokeh Application\";class y{constructor(){s.documents.push(this),this._init_timestamp=Date.now(),this._title=s.DEFAULT_TITLE,this._roots=[],this._all_models={},this._all_models_by_name=new d.MultiDict,this._all_models_freeze_count=0,this._callbacks=[],this._message_callbacks=new Map,this.event_manager=new b(this),this.idle=new l.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 g.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&&(i.logger.info(`document idle at ${Date.now()-this._init_timestamp} ms`),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){null==this._interactive_plot&&(this._interactive_plot=e,this._interactive_plot.trigger_event(new r.LODStart)),this._interactive_timestamp=Date.now()}interactive_stop(e){null!=this._interactive_plot&&this._interactive_plot.id===e.id&&this._interactive_plot.trigger_event(new r.LODEnd),this._interactive_plot=null,this._interactive_timestamp=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=h.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!==Object.keys(this._all_models).length)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(){i.logger.debug(\"invalidating document models\"),0===this._all_models_freeze_count&&this._recompute_all_models()}_recompute_all_models(){let e=new d.Set;for(const t of this._roots)e=e.union(t.references());const t=new d.Set(f.values(this._all_models)),s=t.diff(e),o=e.diff(t),n={};for(const t of e.values)n[t.id]=t;for(const e of s.values)e.detach_document(),e instanceof p.Model&&null!=e.name&&this._all_models_by_name.remove_value(e.name,e);for(const e of o.values)e.attach_document(this),e instanceof p.Model&&null!=e.name&&this._all_models_by_name.add_value(e.name,e);this._all_models=n}roots(){return this._roots}add_root(e,t){if(i.logger.debug(`Adding root: ${e}`),!h.includes(this._roots,e)){this._push_all_models_freeze();try{this._roots.push(e)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new w.RootAddedEvent(this,e,t))}}remove_root(e,t){const s=this._roots.indexOf(e);if(!(s<0)){this._push_all_models_freeze();try{this._roots.splice(s,1)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new w.RootRemovedEvent(this,e,t))}}title(){return this._title}set_title(e,t){e!==this._title&&(this._title=e,this._trigger_on_change(new w.TitleChangedEvent(this,e,t)))}get_model_by_id(e){return e in this._all_models?this._all_models[e]:null}get_model_by_name(e){return this._all_models_by_name.get_one(e,`Multiple models are named '${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){h.includes(this._callbacks,e)||this._callbacks.push(e)}remove_on_change(e){const t=this._callbacks.indexOf(e);t>=0&&this._callbacks.splice(t,1)}_trigger_on_change(e){for(const t of this._callbacks)t(e)}_notify_change(e,t,s,o,n){\"name\"===t&&(this._all_models_by_name.remove_value(s,e),null!=o&&this._all_models_by_name.add_value(o,e));const i=null!=n?n.setter_id:void 0,r=null!=n?n.hint:void 0;this._trigger_on_change(new w.ModelChangedEvent(this,e,t,s,o,i,r))}static _references_json(e,t=!0){const s=[];for(const o of e){const e=o.struct();e.attributes=o.attributes_as_json(t),delete e.attributes.id,s.push(e)}return s}static _instantiate_object(e,t,s){const n=Object.assign(Object.assign({},s),{id:e,__deferred__:!0});return new(o.Models(t))(n)}static _instantiate_references_json(e,t){const s={};for(const o of e){const e=o.id,n=o.type,i=o.attributes||{};let r;e in t?r=t[e]:(r=y._instantiate_object(e,n,i),null!=o.subtype&&r.set_subtype(o.subtype)),s[r.id]=r}return s}static _resolve_refs(e,t,s){function o(e){if(a.is_ref(e)){if(e.id in t)return t[e.id];if(e.id in s)return s[e.id];throw new Error(`reference ${JSON.stringify(e)} isn't known (not in Document?)`)}return m.isArray(e)?function(e){const t=[];for(const s of e)t.push(o(s));return t}(e):m.isPlainObject(e)?function(e){const t={};for(const s in e){const n=e[s];t[s]=o(n)}return t}(e):e}return o(e)}static _initialize_references_json(e,t,s){const o={};for(const n of e){const e=n.id,i=n.attributes,r=!(e in t),_=r?s[e]:t[e],l=y._resolve_refs(i,t,s);o[_.id]=[_,l,r]}function n(e,t){const s={};function o(n){if(n instanceof _.HasProps){if(!(n.id in s)&&n.id in e){s[n.id]=!0;const[,i,r]=e[n.id];for(const e in i){o(i[e])}t(n,i,r)}}else if(m.isArray(n))for(const e of n)o(e);else if(m.isPlainObject(n))for(const e in n){o(n[e])}}for(const t in e){const[s,,]=e[t];o(s)}}n(o,(function(e,t,s){s&&e.setv(t,{silent:!0})})),n(o,(function(e,t,s){s&&e.finalize()}))}static _event_for_attribute_change(e,t,s,o,n){if(o.get_model_by_id(e.id).attribute_is_serializable(t)){const i={kind:\"ModelChanged\",model:{id:e.id},attr:t,new:s};return _.HasProps._json_record_references(o,s,n,!0),i}return null}static _events_to_sync_objects(e,t,s,o){const n=Object.keys(e.attributes),r=Object.keys(t.attributes),_=h.difference(n,r),l=h.difference(r,n),a=h.intersection(n,r),c=[];for(const e of _)i.logger.warn(`Server sent key ${e} but we don't seem to have it in our JSON`);for(const n of l){const i=t.attributes[n];c.push(y._event_for_attribute_change(e,n,i,s,o))}for(const n of a){const i=e.attributes[n],r=t.attributes[n];null==i&&null==r||(null==i||null==r?c.push(y._event_for_attribute_change(e,n,r,s,o)):u.isEqual(i,r)||c.push(y._event_for_attribute_change(e,n,r,s,o)))}return c.filter(e=>null!=e)}static _compute_patch_since_json(e,t){const s=t.to_json(!1);function o(e){const t={};for(const s of e.roots.references)t[s.id]=s;return t}const n=o(e),i={},r=[];for(const t of e.roots.root_ids)i[t]=n[t],r.push(t);const _=o(s),l={},a=[];for(const e of s.roots.root_ids)l[e]=_[e],a.push(e);if(r.sort(),a.sort(),h.difference(r,a).length>0||h.difference(a,r).length>0)throw new Error(\"Not implemented: computing add/remove of document roots\");const c={};let d=[];for(const e in t._all_models)if(e in n){const s=y._events_to_sync_objects(n[e],_[e],t,c);d=d.concat(s)}return{references:y._references_json(f.values(c),!1),events:d}}to_json_string(e=!0){return JSON.stringify(this.to_json(e))}to_json(e=!0){const t=this._roots.map(e=>e.id),s=f.values(this._all_models);return{version:n.version,title:this._title,roots:{root_ids:t,references:y._references_json(s,e)}}}static from_json_string(e){const t=JSON.parse(e);return y.from_json(t)}static from_json(e){i.logger.debug(\"Creating Document from JSON\");const t=e.version,s=-1!==t.indexOf(\"+\")||-1!==t.indexOf(\"-\"),o=`Library versions: JS (${n.version}) / Python (${t})`;s||n.version.replace(/-(dev|rc)\\./,\"$1\")==t?i.logger.debug(o):(i.logger.warn(\"JS/Python version mismatch\"),i.logger.warn(o));const r=e.roots,_=r.root_ids,l=r.references,a=y._instantiate_references_json(l,{});y._initialize_references_json(l,{},a);const c=new y;for(const e of _)c.add_root(a[e]);return c.set_title(e.title),c}replace_with_json(e){y.from_json(e).destructively_move(this)}create_json_patch_string(e){return JSON.stringify(this.create_json_patch(e))}create_json_patch(e){const t={},s=[];for(const o of e){if(o.document!==this)throw i.logger.warn(\"Cannot create a patch using events from a different document, event had \",o.document,\" we are \",this),new Error(\"Cannot create a patch using events from a different document\");s.push(o.json(t))}return{events:s,references:y._references_json(f.values(t))}}apply_json_patch(e,t=[],s){const o=e.references,n=e.events,r=y._instantiate_references_json(o,this._all_models);for(const e of n)switch(e.kind){case\"RootAdded\":case\"RootRemoved\":case\"ModelChanged\":{const t=e.model.id;if(t in this._all_models)r[t]=this._all_models[t];else if(!(t in r))throw i.logger.warn(\"Got an event for unknown model \",e.model),new Error(\"event model wasn't known\");break}}const _={},l={};for(const e in r){const t=r[e];e in this._all_models?_[e]=t:l[e]=t}y._initialize_references_json(o,_,l);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.length)throw new Error(\"expected exactly one buffer\");{const[[,e]]=t;n=e}}else n=y._resolve_refs(o,_,l);this._trigger_on_message(s,n);break}case\"ModelChanged\":{const o=e.model.id;if(!(o in this._all_models))throw new Error(`Cannot apply patch to ${o} which is not in the document`);const n=this._all_models[o],i=e.attr;if(\"data\"===i&&\"ColumnDataSource\"===n.type){const[o,i]=c.decode_column_data(e.new,t);n.setv({_shapes:i,data:o},{setter_id:s})}else{const t=y._resolve_refs(e.new,_,l);n.setv({[i]:t},{setter_id:s})}break}case\"ColumnDataChanged\":{const o=e.column_source.id;if(!(o in this._all_models))throw new Error(`Cannot stream to ${o} which is not in the document`);const n=this._all_models[o],[i,r]=c.decode_column_data(e.new,t);if(null!=e.cols){for(const e in n.data)e in i||(i[e]=n.data[e]);for(const e in n._shapes)e in r||(r[e]=n._shapes[e])}n.setv({_shapes:r,data:i},{setter_id:s,check_eq:!1});break}case\"ColumnsStreamed\":{const t=e.column_source.id;if(!(t in this._all_models))throw new Error(`Cannot stream to ${t} which is not in the document`);const o=this._all_models[t];if(!(o instanceof v.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;if(!(t in this._all_models))throw new Error(`Cannot patch ${t} which is not in the document`);const o=this._all_models[t];if(!(o instanceof v.ColumnDataSource))throw new Error(\"Cannot patch non-ColumnDataSource\");const n=e.patches;o.patch(n,s);break}case\"RootAdded\":{const t=r[e.model.id];this.add_root(t,s);break}case\"RootRemoved\":{const t=r[e.model.id];this.remove_root(t,s);break}case\"TitleChanged\":this.set_title(e.title,s);break;default:throw new Error(\"Unknown patch event \"+JSON.stringify(e))}}}s.Document=y,y.__name__=\"Document\"},\n",
       "      function _(e,r,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=e(1),t=e(8),d=e(13);s.overrides={};const i=new Map;s.Models=e=>{const r=s.overrides[e]||i.get(e);if(null==r)throw new Error(`Model '${e}' does not exist. This could be due to a widget or a custom model not being registered before first usage.`);return r},s.Models.register=(e,r)=>{s.overrides[e]=r},s.Models.unregister=e=>{delete s.overrides[e]},s.Models.register_models=(e,r=!1,s)=>{var o;if(null!=e)for(const l in e){const n=e[l];if(o=n,t.isObject(o)&&o.prototype instanceof d.HasProps){const e=n.__qualified__;r||!i.has(e)?i.set(e,n):null!=s?s(e):console.warn(`Model '${e}' was already registered`)}}},s.register_models=s.Models.register_models,s.Models.registered_names=()=>Array.from(i.keys());const l=o.__importStar(e(27));s.register_models(l)},\n",
       "      function _(n,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});\n",
       "      //     (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n",
       "      //     Underscore may be freely distributed under the MIT license.\n",
       "      const e=n(9),o=Object.prototype.toString;function i(n){return\"[object Number]\"===o.call(n)}function u(n){const t=typeof n;return\"function\"===t||\"object\"===t&&!!n}r.isBoolean=function(n){return!0===n||!1===n||\"[object Boolean]\"===o.call(n)},r.isNumber=i,r.isInteger=function(n){return i(n)&&isFinite(n)&&Math.floor(n)===n},r.isString=function(n){return\"[object String]\"===o.call(n)},r.isStrictNaN=function(n){return i(n)&&n!==+n},r.isFunction=function(n){return\"[object Function]\"===o.call(n)},r.isArray=function(n){return Array.isArray(n)},r.isArrayOf=function(n,t){return e.every(n,t)},r.isArrayableOf=function(n,t){for(let r=0,e=n.length;r<e;r++)if(!t(n[r]))return!1;return!0},r.isTypedArray=function(n){return null!=n&&n.buffer instanceof ArrayBuffer},r.isObject=u,r.isPlainObject=function(n){return u(n)&&(null==n.constructor||n.constructor===Object)}},\n",
       "      function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});\n",
       "      //     (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n",
       "      //     Underscore may be freely distributed under the MIT license.\n",
       "      const r=n(10),o=n(11),i=n(12);e.map=i.map,e.reduce=i.reduce,e.min=i.min,e.min_by=i.min_by,e.max=i.max,e.max_by=i.max_by,e.sum=i.sum,e.cumsum=i.cumsum,e.every=i.every,e.some=i.some,e.find=i.find,e.find_last=i.find_last,e.find_index=i.find_index,e.find_last_index=i.find_last_index,e.sorted_index=i.sorted_index;const u=Array.prototype.slice;function c(n){return u.call(n)}function f(n){return[].concat(...n)}function s(n,t){return-1!==n.indexOf(t)}function l(n,t,e=1){o.assert(e>0,\"'step' must be a positive number\"),null==t&&(t=n,n=0);const{max:r,ceil:i,abs:u}=Math,c=n<=t?e:-e,f=r(i(u(t-n)/e),0),s=Array(f);for(let t=0;t<f;t++,n+=c)s[t]=n;return s}function a(n){const t=[];for(const e of n)s(t,e)||t.push(e);return t}e.head=function(n){return n[0]},e.tail=function(n){return n[n.length-1]},e.last=function(n){return n[n.length-1]},e.copy=c,e.concat=f,e.includes=s,e.contains=s,e.nth=function(n,t){return n[t>=0?t:n.length+t]},e.zip=function(...n){if(0==n.length)return[];const t=i.min(n.map(n=>n.length)),e=n.length,r=new Array(t);for(let o=0;o<t;o++){r[o]=new Array(e);for(let t=0;t<e;t++)r[o][t]=n[t][o]}return r},e.unzip=function(n){const t=n.length,e=i.min(n.map(n=>n.length)),r=Array(e);for(let n=0;n<e;n++)r[n]=new Array(t);for(let o=0;o<t;o++)for(let t=0;t<e;t++)r[t][o]=n[o][t];return r},e.range=l,e.linspace=function(n,t,e=100){const r=(t-n)/(e-1),o=new Array(e);for(let t=0;t<e;t++)o[t]=n+r*t;return o},e.transpose=function(n){const t=n.length,e=n[0].length,r=[];for(let o=0;o<e;o++){r[o]=[];for(let e=0;e<t;e++)r[o][e]=n[e][o]}return r},e.argmin=function(n){return i.min_by(l(n.length),t=>n[t])},e.argmax=function(n){return i.max_by(l(n.length),t=>n[t])},e.sort_by=function(n,t){const e=n.map((n,e)=>({value:n,index:e,key:t(n)}));return e.sort((n,t)=>{const e=n.key,r=t.key;if(e!==r){if(e>r||void 0===e)return 1;if(e<r||void 0===r)return-1}return n.index-t.index}),e.map(n=>n.value)},e.uniq=a,e.uniq_by=function(n,t){const e=[],r=[];for(const o of n){const n=t(o);s(r,n)||(r.push(n),e.push(o))}return e},e.union=function(...n){return a(f(n))},e.intersection=function(n,...t){const e=[];n:for(const r of n)if(!s(e,r)){for(const n of t)if(!s(n,r))continue n;e.push(r)}return e},e.difference=function(n,...t){const e=f(t);return n.filter(n=>!s(e,n))},e.remove_at=function(n,t){const e=c(n);return e.splice(t,1),e},e.remove_by=function(n,t){for(let e=0;e<n.length;)t(n[e])?n.splice(e,1):e++},e.shuffle=function(n){const t=n.length,e=new Array(t);for(let o=0;o<t;o++){const t=r.randomIn(0,o);t!==o&&(e[o]=e[t]),e[t]=n[o]}return e},e.pairwise=function(n,t){const e=n.length,r=new Array(e-1);for(let o=0;o<e-1;o++)r[o]=t(n[o],n[o+1]);return r},e.reversed=function(n){const t=n.length,e=new Array(t);for(let r=0;r<t;r++)e[t-r-1]=n[r];return e},e.repeat=function(n,t){const e=new Array(t);for(let r=0;r<t;r++)e[r]=n;return e}},\n",
       "      function _(n,t,r){function e(n){if(0==n)return 0;for(;n<=0;)n+=2*Math.PI;for(;n>2*Math.PI;)n-=2*Math.PI;return n}function o(n,t){return e(n-t)}function a(){return Math.random()}Object.defineProperty(r,\"__esModule\",{value:!0}),r.angle_norm=e,r.angle_dist=o,r.angle_between=function(n,t,r,a){const u=o(t,r);if(0==u)return!1;if(u==2*Math.PI)return!0;const f=e(n),i=o(t,f)<=u&&o(f,r)<=u;return 0==a?i:!i},r.random=a,r.randomIn=function(n,t){return null==t&&(t=n,n=0),n+Math.floor(Math.random()*(t-n+1))},r.atan2=function(n,t){return Math.atan2(t[1]-n[1],t[0]-n[0])},r.rnorm=function(n,t){let r,e;for(;r=a(),e=a(),e=(2*e-1)*Math.sqrt(1/Math.E*2),!(-4*r*r*Math.log(r)>=e*e););let o=e/r;return o=n+t*o,o},r.clamp=function(n,t,r){return n>r?r:n<t?t:n}},\n",
       "      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});class o extends Error{}n.AssertionError=o,o.__name__=\"AssertionError\",n.assert=function(e,r){if(!(!0===e||!1!==e&&e()))throw new o(null!=r?r:\"Assertion failed\")},n.unreachable=function(){throw new Error(\"unreachable code\")}},\n",
       "      function _(n,t,e){function r(n,t,e,...r){const o=n.length;t<0&&(t+=o),t<0?t=0:t>o&&(t=o),null==e||e>o-t?e=o-t:e<0&&(e=0);const u=o-e+r.length,i=new n.constructor(u);let f=0;for(;f<t;f++)i[f]=n[f];for(const n of r)i[f++]=n;for(let r=t+e;r<o;r++)i[f++]=n[r];return i}function o(n,t){return r(n,t,n.length-t)}function u(n,t,e){const r=n.length;if(void 0===e&&0==r)throw new Error(\"can't reduce an empty array without an initial value\");let o,u;for(void 0===e?(o=n[0],u=1):(o=e,u=0);u<r;u++)o=t(o,n[u],u,n);return o}function i(n){return function(t,e){const r=t.length;let o=n>0?0:r-1;for(;o>=0&&o<r;o+=n)if(e(t[o]))return o;return-1}}Object.defineProperty(e,\"__esModule\",{value:!0}),e.splice=r,e.head=o,e.insert=function(n,t,e){return r(n,e,0,t)},e.append=function(n,t){return r(n,n.length,0,t)},e.prepend=function(n,t){return r(n,0,0,t)},e.indexOf=function(n,t){for(let e=0,r=n.length;e<r;e++)if(n[e]===t)return e;return-1},e.map=function(n,t){const e=n.length,r=new n.constructor(e);for(let o=0;o<e;o++)r[o]=t(n[o],o,n);return r},e.filter=function(n,t){const e=n.length,r=new n.constructor(e);let u=0;for(let o=0;o<e;o++){const e=n[o];t(e,o,n)&&(r[u++]=e)}return o(r,u)},e.reduce=u,e.min=function(n){let t,e=1/0;for(let r=0,o=n.length;r<o;r++)t=n[r],t<e&&(e=t);return e},e.min_by=function(n,t){if(0==n.length)throw new Error(\"min_by() called with an empty array\");let e=n[0],r=t(e);for(let o=1,u=n.length;o<u;o++){const u=n[o],i=t(u);i<r&&(e=u,r=i)}return e},e.max=function(n){let t,e=-1/0;for(let r=0,o=n.length;r<o;r++)t=n[r],t>e&&(e=t);return e},e.max_by=function(n,t){if(0==n.length)throw new Error(\"max_by() called with an empty array\");let e=n[0],r=t(e);for(let o=1,u=n.length;o<u;o++){const u=n[o],i=t(u);i>r&&(e=u,r=i)}return e},e.sum=function(n){let t=0;for(let e=0,r=n.length;e<r;e++)t+=n[e];return t},e.cumsum=function(n){const t=new n.constructor(n.length);return u(n,(n,e,r)=>t[r]=n+e,0),t},e.every=function(n,t){for(let e=0,r=n.length;e<r;e++)if(!t(n[e]))return!1;return!0},e.some=function(n,t){for(let e=0,r=n.length;e<r;e++)if(t(n[e]))return!0;return!1},e.index_of=function(n,t){for(let e=0,r=n.length;e<r;e++)if(n[e]===t)return e;return-1},e.find_index=i(1),e.find_last_index=i(-1),e.find=function(n,t){const r=e.find_index(n,t);return-1==r?void 0:n[r]},e.find_last=function(n,t){const r=e.find_last_index(n,t);return-1==r?void 0:n[r]},e.sorted_index=function(n,t){let e=0,r=n.length;for(;e<r;){const o=Math.floor((e+r)/2);n[o]<t?e=o+1:r=o}return e}},\n",
       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(14),r=i.__importStar(t(18)),o=t(24),c=i.__importStar(t(19)),a=t(25),_=t(9),l=t(23),h=t(8),p=t(16);class u extends(n.Signalable()){constructor(t={}){super(),this._subtype=void 0,this.document=null,this.destroyed=new n.Signal0(this,\"destroyed\"),this.change=new n.Signal0(this,\"change\"),this.transformchange=new n.Signal0(this,\"transformchange\"),this.attributes={},this.properties={},this._set_after_defaults={},this._pending=!1,this._changing=!1;for(const t in this.props){const{type:e,default_value:s}=this.props[t];if(null==e)throw new Error(`undefined property type for ${this.type}.${t}`);this.properties[t]=new e(this,t,s)}null==t.id&&this.setv({id:a.uniqueId()},{silent:!0});const e=t.__deferred__||!1;e&&delete(t=l.clone(t)).__deferred__,this.setv(t,{silent:!0}),e||this.finalize()}set type(t){console.warn(\"prototype.type = 'ModelName' is deprecated, use static __name__ instead\"),this.constructor.__name__=t}get type(){return this.constructor.__qualified__}static get __qualified__(){const{__module__:t,__name__:e}=this;return null!=t?`${t}.${e}`:e}static init_HasProps(){this.prototype.props={},this.prototype.mixins=[],this.define({id:[c.Any]})}static _fix_default(t,e){return void 0===t?void 0:h.isFunction(t)?t:h.isObject(t)?h.isArray(t)?()=>_.copy(t):()=>l.clone(t):()=>t}static define(t){for(const e in t){const s=t[e];if(null!=this.prototype.props[e])throw new Error(`attempted to redefine property '${this.prototype.type}.${e}'`);if(null!=this.prototype[e])throw new Error(`attempted to redefine attribute '${this.prototype.type}.${e}'`);Object.defineProperty(this.prototype,e,{get(){return this.getv(e)},set(t){return this.setv({[e]:t}),this},configurable:!1,enumerable:!0});const[i,n,r]=s,o={type:i,default_value:this._fix_default(n,e),internal:r||!1},c=l.clone(this.prototype.props);c[e]=o,this.prototype.props=c}}static internal(t){const e={};for(const s in t){const i=t[s],[n,r]=i;e[s]=[n,r,!0]}this.define(e)}static mixin(...t){this.define(r.create(t));const e=this.prototype.mixins.concat(t);this.prototype.mixins=e}static mixins(t){this.mixin(...t)}static override(t){for(const e in t){const s=this._fix_default(t[e],e),i=this.prototype.props[e];if(null==i)throw new Error(`attempted to override nonexistent '${this.prototype.type}.${e}'`);const n=l.clone(this.prototype.props);n[e]=Object.assign(Object.assign({},i),{default_value:s}),this.prototype.props=n}}toString(){return`${this.type}(${this.id})`}finalize(){for(const t in this.properties){const e=this.properties[t];e.update(),null!=e.spec.transform&&this.connect(e.spec.transform.change,()=>this.transformchange.emit())}this.initialize(),this.connect_signals()}initialize(){}connect_signals(){}disconnect_signals(){n.Signal.disconnectReceiver(this)}destroy(){this.disconnect_signals(),this.destroyed.emit()}clone(){return new this.constructor(this.attributes)}_setv(t,e){const s=e.check_eq,i=e.silent,n=[],r=this._changing;this._changing=!0;const o=this.attributes;for(const e in t){const i=t[e];!1!==s&&p.isEqual(o[e],i)||n.push(e),o[e]=i}if(!i){n.length>0&&(this._pending=!0);for(let t=0;t<n.length;t++)this.properties[n[t]].change.emit()}if(!r){if(!i&&!e.no_change)for(;this._pending;)this._pending=!1,this.change.emit();this._pending=!1,this._changing=!1}}setv(t,e={}){for(const s in t){if(!t.hasOwnProperty(s))continue;const i=s;if(null==this.props[i])throw new Error(`property ${this.type}.${i} wasn't declared`);null!=e&&e.defaults||(this._set_after_defaults[s]=!0)}if(!l.isEmpty(t)){const s={};for(const e in t)s[e]=this.getv(e);this._setv(t,e);const i=e.silent;if(null==i||!i)for(const i in t)this._tell_document_about_change(i,s[i],this.getv(i),e)}}getv(t){if(null==this.props[t])throw new Error(`property ${this.type}.${t} wasn't declared`);return this.attributes[t]}ref(){return{id:this.id}}struct(){const t={type:this.type,id:this.id,attributes:{}};return null!=this._subtype&&(t.subtype=this._subtype),t}set_subtype(t){this._subtype=t}attribute_is_serializable(t){const e=this.props[t];if(null==e)throw new Error(`${this.type}.attribute_is_serializable('${t}'): ${t} wasn't declared`);return!e.internal}serializable_attributes(){const t={};for(const e in this.attributes){const s=this.attributes[e];this.attribute_is_serializable(e)&&(t[e]=s)}return t}static _value_to_json(t,e,s){if(e instanceof u)return e.ref();if(h.isArray(e)){const t=[];for(let s=0;s<e.length;s++){const i=e[s];t.push(u._value_to_json(s.toString(),i,e))}return t}if(h.isPlainObject(e)){const t={};for(const s in e)e.hasOwnProperty(s)&&(t[s]=u._value_to_json(s,e[s],e));return t}return e}attributes_as_json(t=!0,e=u._value_to_json){const s=this.serializable_attributes(),i={};for(const e in s)if(s.hasOwnProperty(e)){const n=s[e];(t||e in this._set_after_defaults)&&(i[e]=n)}return e(\"attributes\",i,this)}static _json_record_references(t,e,s,i){if(null==e);else if(o.is_ref(e)){if(!(e.id in s)){const n=t.get_model_by_id(e.id);u._value_record_references(n,s,i)}}else if(h.isArray(e))for(const n of e)u._json_record_references(t,n,s,i);else if(h.isPlainObject(e))for(const n in e)if(e.hasOwnProperty(n)){const r=e[n];u._json_record_references(t,r,s,i)}}static _value_record_references(t,e,s){if(null==t);else if(t instanceof u){if(!(t.id in e)&&(e[t.id]=t,s)){const s=t._immediate_references();for(const t of s)u._value_record_references(t,e,!0)}}else if(t.buffer instanceof ArrayBuffer);else if(h.isArray(t))for(const i of t)u._value_record_references(i,e,s);else if(h.isPlainObject(t))for(const i in t)if(t.hasOwnProperty(i)){const n=t[i];u._value_record_references(n,e,s)}}_immediate_references(){const t={},e=this.serializable_attributes();for(const s in e){const i=e[s];u._value_record_references(i,t,!1)}return l.values(t)}references(){const t={};return u._value_record_references(this,t,!0),l.values(t)}_doc_attached(){}attach_document(t){if(null!=this.document&&this.document!=t)throw new Error(\"models must be owned by only a single document\");this.document=t,this._doc_attached()}detach_document(){this.document=null}_tell_document_about_change(t,e,s,i){if(this.attribute_is_serializable(t)&&null!=this.document){const n={};u._value_record_references(s,n,!1);const r={};u._value_record_references(e,r,!1);let o=!1;for(const t in n)if(!(t in r)){o=!0;break}if(!o)for(const t in r)if(!(t in n)){o=!0;break}o&&this.document._invalidate_all_models(),this.document._notify_change(this,t,e,s,i)}}materialize_dataspecs(t){const e={};for(const s in this.properties){const i=this.properties[s];if(!(i instanceof c.VectorSpec))continue;if(i.optional&&null==i.spec.value&&!(s in this._set_after_defaults))continue;const n=i.array(t);e[`_${s}`]=n,null!=i.spec.field&&i.spec.field in t._shapes&&(e[`_${s}_shape`]=t._shapes[i.spec.field]),i instanceof c.DistanceSpec&&(e[`max_${s}`]=_.max(n))}return e}}s.HasProps=u,u.init_HasProps()},\n",
       "      function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=n(15),l=n(17),i=n(9);class o{constructor(n,t){this.sender=n,this.name=t}connect(n,t=null){r.has(this.sender)||r.set(this.sender,[]);const e=r.get(this.sender);if(null!=g(e,this,n,t))return!1;const s=t||n;u.has(s)||u.set(s,[]);const l=u.get(s),i={signal:this,slot:n,context:t};return e.push(i),l.push(i),!0}disconnect(n,t=null){const e=r.get(this.sender);if(null==e||0===e.length)return!1;const s=g(e,this,n,t);if(null==s)return!1;const l=t||n,i=u.get(l);return s.signal=null,f(e),f(i),!0}emit(n){const t=r.get(this.sender)||[];for(const{signal:e,slot:s,context:l}of t)e===this&&s.call(l,n,this.sender)}}e.Signal=o,o.__name__=\"Signal\";class c extends o{emit(){super.emit(void 0)}}e.Signal0=c,c.__name__=\"Signal0\",function(n){n.disconnectBetween=function(n,t){const e=r.get(n);if(null==e||0===e.length)return;const s=u.get(t);if(null!=s&&0!==s.length){for(const t of s){if(null==t.signal)return;t.signal.sender===n&&(t.signal=null)}f(e),f(s)}},n.disconnectSender=function(n){const t=r.get(n);if(null!=t&&0!==t.length){for(const n of t){if(null==n.signal)return;const t=n.context||n.slot;n.signal=null,f(u.get(t))}f(t)}},n.disconnectReceiver=function(n){const t=u.get(n);if(null!=t&&0!==t.length){for(const n of t){if(null==n.signal)return;const t=n.signal.sender;n.signal=null,f(r.get(t))}f(t)}},n.disconnectAll=function(n){const t=r.get(n);if(null!=t&&0!==t.length){for(const n of t)n.signal=null;f(t)}const e=u.get(n);if(null!=e&&0!==e.length){for(const n of e)n.signal=null;f(e)}}}(o||(e.Signal=o={})),e.Signalable=function(){return class{connect(n,t){return n.connect(t,this)}disconnect(n,t){return n.disconnect(t,this)}}};const r=new WeakMap,u=new WeakMap;function g(n,t,e,s){return i.find(n,n=>n.signal===t&&n.slot===e&&n.context===s)}const a=new s.Set;function f(n){0===a.size&&l.defer(h),a.add(n)}function h(){a.forEach(n=>{i.remove_by(n,n=>null==n.signal)}),a.clear()}},\n",
       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(9),n=t(16),r=t(8);class o{constructor(){this._dict={}}_existing(t){return t in this._dict?this._dict[t]:null}add_value(t,s){const e=this._existing(t);null==e?this._dict[t]=s:r.isArray(e)?e.push(s):this._dict[t]=[e,s]}remove_value(t,s){const e=this._existing(t);if(r.isArray(e)){const n=i.difference(e,[s]);n.length>0?this._dict[t]=n:delete this._dict[t]}else n.isEqual(e,s)&&delete this._dict[t]}get_one(t,s){const e=this._existing(t);if(r.isArray(e)){if(1===e.length)return e[0];throw new Error(s)}return e}}e.MultiDict=o,o.__name__=\"MultiDict\";class a{constructor(t){if(null==t)this._values=[];else if(t instanceof a)this._values=i.copy(t._values);else{this._values=[];for(const s of t)this.add(s)}}get values(){return i.copy(this._values).sort()}toString(){return`Set([${this.values.join(\",\")}])`}get size(){return this._values.length}has(t){return-1!==this._values.indexOf(t)}add(t){this.has(t)||this._values.push(t)}remove(t){const s=this._values.indexOf(t);-1!==s&&this._values.splice(s,1)}toggle(t){const s=this._values.indexOf(t);-1===s?this._values.push(t):this._values.splice(s,1)}clear(){this._values=[]}union(t){return t=new a(t),new a(this._values.concat(t._values))}intersect(t){t=new a(t);const s=new a;for(const e of t._values)this.has(e)&&t.has(e)&&s.add(e);return s}diff(t){t=new a(t);const s=new a;for(const e of this._values)t.has(e)||s.add(e);return s}forEach(t,s){for(const e of this._values)t.call(s||this,e,e,this)}}e.Set=a,a.__name__=\"Set\";class h{constructor(t,s,e){this.nrows=t,this.ncols=s,this._matrix=new Array(t);for(let i=0;i<t;i++){this._matrix[i]=new Array(s);for(let t=0;t<s;t++)this._matrix[i][t]=e(i,t)}}at(t,s){return this._matrix[t][s]}map(t){return new h(this.nrows,this.ncols,(s,e)=>t(this.at(s,e),s,e))}apply(t){const s=h.from(t),{nrows:e,ncols:i}=this;if(e==s.nrows&&i==s.ncols)return new h(e,i,(t,e)=>s.at(t,e)(this.at(t,e),t,e));throw new Error(\"dimensions don't match\")}to_sparse(){const t=[];for(let s=0;s<this.nrows;s++)for(let e=0;e<this.ncols;e++){const i=this._matrix[s][e];t.push([i,s,e])}return t}static from(t){if(t instanceof h)return t;{const s=t.length,e=i.min(t.map(t=>t.length));return new h(s,e,(s,e)=>t[s][e])}}}e.Matrix=h,h.__name__=\"Matrix\"},\n",
       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});\n",
       "      //     (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n",
       "      //     Underscore may be freely distributed under the MIT license.\n",
       "      const r=t(8),o=Object.prototype.toString;n.isEqual=function(t,e){return function t(e,n,c,u){if(e===n)return 0!==e||1/e==1/n;if(null==e||null==n)return e===n;const i=o.call(e);if(i!==o.call(n))return!1;switch(i){case\"[object RegExp]\":case\"[object String]\":return\"\"+e==\"\"+n;case\"[object Number]\":return+e!=+e?+n!=+n:0==+e?1/+e==1/n:+e==+n;case\"[object Date]\":case\"[object Boolean]\":return+e==+n}const s=\"[object Array]\"===i;if(!s){if(\"object\"!=typeof e||\"object\"!=typeof n)return!1;const t=e.constructor,o=n.constructor;if(t!==o&&!(r.isFunction(t)&&t instanceof t&&r.isFunction(o)&&o instanceof o)&&\"constructor\"in e&&\"constructor\"in n)return!1}u=u||[];let f=(c=c||[]).length;for(;f--;)if(c[f]===e)return u[f]===n;if(c.push(e),u.push(n),s){if(f=e.length,f!==n.length)return!1;for(;f--;)if(!t(e[f],n[f],c,u))return!1}else{const r=Object.keys(e);let o;if(f=r.length,Object.keys(n).length!==f)return!1;for(;f--;)if(o=r[f],!n.hasOwnProperty(o)||!t(e[o],n[o],c,u))return!1}return c.pop(),u.pop(),!0}(t,e)}},\n",
       "      function _(n,e,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.delay=\n",
       "      //     (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n",
       "      //     Underscore may be freely distributed under the MIT license.\n",
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       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const u=t(1),n=u.__importDefault(t(34)),f=u.__importDefault(t(41)),i=u.__importDefault(t(36)),a=u.__importDefault(t(40));var o=[\"PROJECTEDCRS\",\"PROJCRS\",\"GEOGCS\",\"GEOCCS\",\"PROJCS\",\"LOCAL_CS\",\"GEODCRS\",\"GEODETICCRS\",\"GEODETICDATUM\",\"ENGCRS\",\"ENGINEERINGCRS\"];var l=[\"3857\",\"900913\",\"3785\",\"102113\"];r.default=function(t){if(!function(t){return\"string\"==typeof t}(t))return t;if(function(t){return t in n.default}(t))return n.default[t];if(function(t){return o.some((function(e){return t.indexOf(e)>-1}))}(t)){var e=f.default(t);if(function(t){var e=a.default(t,\"authority\");if(e){var r=a.default(e,\"epsg\");return r&&l.indexOf(r)>-1}}(e))return n.default[\"EPSG:3857\"];var r=function(t){var e=a.default(t,\"extension\");if(e)return a.default(e,\"proj4\")}(e);return r?i.default(r):e}return function(t){return\"+\"===t[0]}(t)?i.default(t):void 0}},\n",
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       "      function _(P,_,e){Object.defineProperty(e,\"__esModule\",{value:!0}),e.PJD_3PARAM=1,e.PJD_7PARAM=2,e.PJD_WGS84=4,e.PJD_NODATUM=5,e.SEC_TO_RAD=484813681109536e-20,e.HALF_PI=Math.PI/2,e.SIXTH=.16666666666666666,e.RA4=.04722222222222222,e.RA6=.022156084656084655,e.EPSLN=1e-10,e.D2R=.017453292519943295,e.R2D=57.29577951308232,e.FORTPI=Math.PI/4,e.TWO_PI=2*Math.PI,e.SPI=3.14159265359},\n",
       "      function _(e,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});var a={};r.default=a,a.greenwich=0,a.lisbon=-9.131906111111,a.paris=2.337229166667,a.bogota=-74.080916666667,a.madrid=-3.687938888889,a.rome=12.452333333333,a.bern=7.439583333333,a.jakarta=106.807719444444,a.ferro=-17.666666666667,a.brussels=4.367975,a.stockholm=18.058277777778,a.athens=23.7163375,a.oslo=10.722916666667},\n",
       "      function _(e,t,f){Object.defineProperty(f,\"__esModule\",{value:!0}),f.default={ft:{to_meter:.3048},\"us-ft\":{to_meter:1200/3937}}},\n",
       "      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});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;++f<a.length;)if((t=a[f]).toLowerCase().replace(o,\"\")===n)return e[t]}},\n",
       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const o=e(1);const d=o.__importDefault(e(42)),r=e(43);function n(e){return.017453292519943295*e}a.default=function(e){var t=d.default(e),a=t.shift(),o=t.shift();t.unshift([\"name\",o]),t.unshift([\"type\",a]);var l={};return r.sExpr(t,l),function(e){if(\"GEOGCS\"===e.type?e.projName=\"longlat\":\"LOCAL_CS\"===e.type?(e.projName=\"identity\",e.local=!0):\"object\"==typeof e.PROJECTION?e.projName=Object.keys(e.PROJECTION)[0]:e.projName=e.PROJECTION,e.AXIS){for(var t=\"\",a=0,o=e.AXIS.length;a<o;++a){var d=e.AXIS[a][0].toLowerCase();-1!==d.indexOf(\"north\")?t+=\"n\":-1!==d.indexOf(\"south\")?t+=\"s\":-1!==d.indexOf(\"east\")?t+=\"e\":-1!==d.indexOf(\"west\")&&(t+=\"w\")}2===t.length&&(t+=\"u\"),3===t.length&&(e.axis=t)}e.UNIT&&(e.units=e.UNIT.name.toLowerCase(),\"metre\"===e.units&&(e.units=\"meter\"),e.UNIT.convert&&(\"GEOGCS\"===e.type?e.DATUM&&e.DATUM.SPHEROID&&(e.to_meter=e.UNIT.convert*e.DATUM.SPHEROID.a):e.to_meter=e.UNIT.convert));var r=e.GEOGCS;function l(t){return t*(e.to_meter||1)}\"GEOGCS\"===e.type&&(r=e),r&&(r.DATUM?e.datumCode=r.DATUM.name.toLowerCase():e.datumCode=r.name.toLowerCase(),\"d_\"===e.datumCode.slice(0,2)&&(e.datumCode=e.datumCode.slice(2)),\"new_zealand_geodetic_datum_1949\"!==e.datumCode&&\"new_zealand_1949\"!==e.datumCode||(e.datumCode=\"nzgd49\"),\"wgs_1984\"!==e.datumCode&&\"world_geodetic_system_1984\"!==e.datumCode||(\"Mercator_Auxiliary_Sphere\"===e.PROJECTION&&(e.sphere=!0),e.datumCode=\"wgs84\"),\"_ferro\"===e.datumCode.slice(-6)&&(e.datumCode=e.datumCode.slice(0,-6)),\"_jakarta\"===e.datumCode.slice(-8)&&(e.datumCode=e.datumCode.slice(0,-8)),~e.datumCode.indexOf(\"belge\")&&(e.datumCode=\"rnb72\"),r.DATUM&&r.DATUM.SPHEROID&&(e.ellps=r.DATUM.SPHEROID.name.replace(\"_19\",\"\").replace(/[Cc]larke\\_18/,\"clrk\"),\"international\"===e.ellps.toLowerCase().slice(0,13)&&(e.ellps=\"intl\"),e.a=r.DATUM.SPHEROID.a,e.rf=parseFloat(r.DATUM.SPHEROID.rf,10)),r.DATUM&&r.DATUM.TOWGS84&&(e.datum_params=r.DATUM.TOWGS84),~e.datumCode.indexOf(\"osgb_1936\")&&(e.datumCode=\"osgb36\"),~e.datumCode.indexOf(\"osni_1952\")&&(e.datumCode=\"osni52\"),(~e.datumCode.indexOf(\"tm65\")||~e.datumCode.indexOf(\"geodetic_datum_of_1965\"))&&(e.datumCode=\"ire65\"),\"ch1903+\"===e.datumCode&&(e.datumCode=\"ch1903\"),~e.datumCode.indexOf(\"israel\")&&(e.datumCode=\"isr93\")),e.b&&!isFinite(e.b)&&(e.b=e.a),[[\"standard_parallel_1\",\"Standard_Parallel_1\"],[\"standard_parallel_2\",\"Standard_Parallel_2\"],[\"false_easting\",\"False_Easting\"],[\"false_northing\",\"False_Northing\"],[\"central_meridian\",\"Central_Meridian\"],[\"latitude_of_origin\",\"Latitude_Of_Origin\"],[\"latitude_of_origin\",\"Central_Parallel\"],[\"scale_factor\",\"Scale_Factor\"],[\"k0\",\"scale_factor\"],[\"latitude_of_center\",\"Latitude_Of_Center\"],[\"latitude_of_center\",\"Latitude_of_center\"],[\"lat0\",\"latitude_of_center\",n],[\"longitude_of_center\",\"Longitude_Of_Center\"],[\"longitude_of_center\",\"Longitude_of_center\"],[\"longc\",\"longitude_of_center\",n],[\"x0\",\"false_easting\",l],[\"y0\",\"false_northing\",l],[\"long0\",\"central_meridian\",n],[\"lat0\",\"latitude_of_origin\",n],[\"lat0\",\"standard_parallel_1\",n],[\"lat1\",\"standard_parallel_1\",n],[\"lat2\",\"standard_parallel_2\",n],[\"azimuth\",\"Azimuth\"],[\"alpha\",\"azimuth\",n],[\"srsCode\",\"name\"]].forEach((function(t){return a=e,d=(o=t)[0],r=o[1],void(!(d in a)&&r in a&&(a[d]=a[r],3===o.length&&(a[d]=o[2](a[d]))));var a,o,d,r})),e.long0||!e.longc||\"Albers_Conic_Equal_Area\"!==e.projName&&\"Lambert_Azimuthal_Equal_Area\"!==e.projName||(e.long0=e.longc),e.lat_ts||!e.lat1||\"Stereographic_South_Pole\"!==e.projName&&\"Polar Stereographic (variant B)\"!==e.projName||(e.lat0=n(e.lat1>0?90:-90),e.lat_ts=e.lat1)}(l),l}},\n",
       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0}),r.default=function(t){return new a(t).output()};var i=/\\s/,s=/[A-Za-z]/,h=/[A-Za-z84]/,o=/[,\\]]/,n=/[\\d\\.E\\-\\+]/;function a(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}a.prototype.readCharicter=function(){var t=this.text[this.place++];if(4!==this.state)for(;i.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}},a.prototype.afterquote=function(t){if('\"'===t)return this.word+='\"',void(this.state=4);if(o.test(t))return this.word=this.word.trim(),void this.afterItem(t);throw new Error(\"havn't handled \\\"\"+t+'\" in afterquote yet, index '+this.place)},a.prototype.afterItem=function(t){return\",\"===t?(null!==this.word&&this.currentObject.push(this.word),this.word=null,void(this.state=1)):\"]\"===t?(this.level--,null!==this.word&&(this.currentObject.push(this.word),this.word=null),this.state=1,this.currentObject=this.stack.pop(),void(this.currentObject||(this.state=-1))):void 0},a.prototype.number=function(t){if(!n.test(t)){if(o.test(t))return this.word=parseFloat(this.word),void this.afterItem(t);throw new Error(\"havn't handled \\\"\"+t+'\" in number yet, index '+this.place)}this.word+=t},a.prototype.quoted=function(t){'\"'!==t?this.word+=t:this.state=5},a.prototype.keyword=function(t){if(h.test(t))this.word+=t;else{if(\"[\"===t){var e=[];return e.push(this.word),this.level++,null===this.root?this.root=e:this.currentObject.push(e),this.stack.push(this.currentObject),this.currentObject=e,void(this.state=1)}if(!o.test(t))throw new Error(\"havn't handled \\\"\"+t+'\" in keyword yet, index '+this.place);this.afterItem(t)}},a.prototype.neutral=function(t){if(s.test(t))return this.word=t,void(this.state=2);if('\"'===t)return this.word=\"\",void(this.state=4);if(n.test(t))return this.word=t,void(this.state=3);if(!o.test(t))throw new Error(\"havn't handled \\\"\"+t+'\" in neutral yet, index '+this.place);this.afterItem(t)},a.prototype.output=function(){for(;this.place<this.text.length;)this.readCharicter();if(-1===this.state)return this.root;throw new Error('unable to parse string \"'+this.text+'\". State is '+this.state)}},\n",
       "      function _(e,r,a){function s(e,r,a){Array.isArray(r)&&(a.unshift(r),r=null);var s=r?{}:e,n=a.reduce((function(e,r){return c(r,e),e}),s);r&&(e[r]=n)}function c(e,r){if(Array.isArray(e)){var a=e.shift();if(\"PARAMETER\"===a&&(a=e.shift()),1===e.length)return Array.isArray(e[0])?(r[a]={},void c(e[0],r[a])):void(r[a]=e[0]);if(e.length)if(\"TOWGS84\"!==a){if(\"AXIS\"===a)return a in r||(r[a]=[]),void r[a].push(e);var n;switch(Array.isArray(a)||(r[a]={}),a){case\"UNIT\":case\"PRIMEM\":case\"VERT_DATUM\":return r[a]={name:e[0].toLowerCase(),convert:e[1]},void(3===e.length&&c(e[2],r[a]));case\"SPHEROID\":case\"ELLIPSOID\":return r[a]={name:e[0],a:e[1],rf:e[2]},void(4===e.length&&c(e[3],r[a]));case\"PROJECTEDCRS\":case\"PROJCRS\":case\"GEOGCS\":case\"GEOCCS\":case\"PROJCS\":case\"LOCAL_CS\":case\"GEODCRS\":case\"GEODETICCRS\":case\"GEODETICDATUM\":case\"EDATUM\":case\"ENGINEERINGDATUM\":case\"VERT_CS\":case\"VERTCRS\":case\"VERTICALCRS\":case\"COMPD_CS\":case\"COMPOUNDCRS\":case\"ENGINEERINGCRS\":case\"ENGCRS\":case\"FITTED_CS\":case\"LOCAL_DATUM\":case\"DATUM\":return e[0]=[\"name\",e[0]],void s(r,a,e);default:for(n=-1;++n<e.length;)if(!Array.isArray(e[n]))return c(e,r[a]);return s(r,a,e)}}else r[a]=e;else r[a]=!0}else r[e]=!0}Object.defineProperty(a,\"__esModule\",{value:!0}),a.sExpr=c},\n",
       "      function _(e,n,r){Object.defineProperty(r,\"__esModule\",{value:!0}),r.default=function(e,n){var r,t;if(e=e||{},!n)return e;for(t in n)void 0!==(r=n[t])&&(e[t]=r);return e}},\n",
       "      function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const a=t(1),n=a.__importDefault(t(46)),r=a.__importDefault(t(52));var u=[n.default,r.default],f={},i=[];function d(t,e){var o=i.length;return t.names?(i[o]=t,t.names.forEach((function(t){f[t.toLowerCase()]=o})),this):(console.log(e),!0)}function c(t){if(!t)return!1;var e=t.toLowerCase();return void 0!==f[e]&&i[f[e]]?i[f[e]]:void 0}function l(){u.forEach(d)}o.add=d,o.get=c,o.start=l,o.default={start:l,add:d,get:c}},\n",
       "      function _(t,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const h=t(1),a=h.__importDefault(t(47)),e=h.__importDefault(t(48)),r=h.__importDefault(t(50)),n=h.__importDefault(t(51)),l=t(37);function u(){var t=this.b/this.a;this.es=1-t*t,\"x0\"in this||(this.x0=0),\"y0\"in this||(this.y0=0),this.e=Math.sqrt(this.es),this.lat_ts?this.sphere?this.k0=Math.cos(this.lat_ts):this.k0=a.default(this.e,Math.sin(this.lat_ts),Math.cos(this.lat_ts)):this.k0||(this.k?this.k0=this.k:this.k0=1)}function o(t){var i,s,h=t.x,a=t.y;if(a*l.R2D>90&&a*l.R2D<-90&&h*l.R2D>180&&h*l.R2D<-180)return null;if(Math.abs(Math.abs(a)-l.HALF_PI)<=l.EPSLN)return null;if(this.sphere)i=this.x0+this.a*this.k0*e.default(h-this.long0),s=this.y0+this.a*this.k0*Math.log(Math.tan(l.FORTPI+.5*a));else{var n=Math.sin(a),u=r.default(this.e,a,n);i=this.x0+this.a*this.k0*e.default(h-this.long0),s=this.y0-this.a*this.k0*Math.log(u)}return t.x=i,t.y=s,t}function f(t){var i,s,h=t.x-this.x0,a=t.y-this.y0;if(this.sphere)s=l.HALF_PI-2*Math.atan(Math.exp(-a/(this.a*this.k0)));else{var r=Math.exp(-a/(this.a*this.k0));if(-9999===(s=n.default(this.e,r)))return null}return i=e.default(this.long0+h/(this.a*this.k0)),t.x=i,t.y=s,t}s.init=u,s.forward=o,s.inverse=f,s.names=[\"Mercator\",\"Popular Visualisation Pseudo Mercator\",\"Mercator_1SP\",\"Mercator_Auxiliary_Sphere\",\"merc\"],s.default={init:u,forward:o,inverse:f,names:s.names}},\n",
       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.default=function(e,t,n){var r=e*t;return n/Math.sqrt(1-r*r)}},\n",
       "      function _(e,t,u){Object.defineProperty(u,\"__esModule\",{value:!0});const n=e(1),a=e(37),f=n.__importDefault(e(49));u.default=function(e){return Math.abs(e)<=a.SPI?e:e-f.default(e)*a.TWO_PI}},\n",
       "      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.default=function(e){return e<0?-1:1}},\n",
       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const a=t(37);n.default=function(t,e,n){var o=t*n,u=.5*t;return o=Math.pow((1-o)/(1+o),u),Math.tan(.5*(a.HALF_PI-e))/o}},\n",
       "      function _(t,a,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=t(37);e.default=function(t,a){for(var e,r,o=.5*t,u=n.HALF_PI-2*Math.atan(a),f=0;f<=15;f++)if(e=t*Math.sin(u),u+=r=n.HALF_PI-2*Math.atan(a*Math.pow((1-e)/(1+e),o))-u,Math.abs(r)<=1e-10)return u;return-9999}},\n",
       "      function _(e,n,i){function t(){}function r(e){return e}Object.defineProperty(i,\"__esModule\",{value:!0}),i.init=t,i.forward=r,i.inverse=r,i.names=[\"longlat\",\"identity\"],i.default={init:t,forward:r,inverse:r,names:i.names}},\n",
       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const a=e(1),n=e(37),f=a.__importStar(e(54)),u=a.__importDefault(e(40));r.eccentricity=function(e,t,r,a){var f=e*e,u=t*t,i=(f-u)/f,c=0;return a?(f=(e*=1-i*(n.SIXTH+i*(n.RA4+i*n.RA6)))*e,i=0):c=Math.sqrt(i),{es:i,e:c,ep2:(f-u)/u}},r.sphere=function(e,t,r,a,i){if(!e){var c=u.default(f.default,a);c||(c=f.WGS84),e=c.a,t=c.b,r=c.rf}return r&&!t&&(t=(1-1/r)*e),(0===r||Math.abs(e-t)<n.EPSLN)&&(i=!0,t=e),{a:e,b:t,rf:r,sphere:i}}},\n",
       "      function _(e,a,l){Object.defineProperty(l,\"__esModule\",{value:!0});var s={};l.default=s,s.MERIT={a:6378137,rf:298.257,ellipseName:\"MERIT 1983\"},s.SGS85={a:6378136,rf:298.257,ellipseName:\"Soviet Geodetic System 85\"},s.GRS80={a:6378137,rf:298.257222101,ellipseName:\"GRS 1980(IUGG, 1980)\"},s.IAU76={a:6378140,rf:298.257,ellipseName:\"IAU 1976\"},s.airy={a:6377563.396,b:6356256.91,ellipseName:\"Airy 1830\"},s.APL4={a:6378137,rf:298.25,ellipseName:\"Appl. Physics. 1965\"},s.NWL9D={a:6378145,rf:298.25,ellipseName:\"Naval Weapons Lab., 1965\"},s.mod_airy={a:6377340.189,b:6356034.446,ellipseName:\"Modified Airy\"},s.andrae={a:6377104.43,rf:300,ellipseName:\"Andrae 1876 (Den., Iclnd.)\"},s.aust_SA={a:6378160,rf:298.25,ellipseName:\"Australian Natl & S. Amer. 1969\"},s.GRS67={a:6378160,rf:298.247167427,ellipseName:\"GRS 67(IUGG 1967)\"},s.bessel={a:6377397.155,rf:299.1528128,ellipseName:\"Bessel 1841\"},s.bess_nam={a:6377483.865,rf:299.1528128,ellipseName:\"Bessel 1841 (Namibia)\"},s.clrk66={a:6378206.4,b:6356583.8,ellipseName:\"Clarke 1866\"},s.clrk80={a:6378249.145,rf:293.4663,ellipseName:\"Clarke 1880 mod.\"},s.clrk58={a:6378293.645208759,rf:294.2606763692654,ellipseName:\"Clarke 1858\"},s.CPM={a:6375738.7,rf:334.29,ellipseName:\"Comm. des Poids et Mesures 1799\"},s.delmbr={a:6376428,rf:311.5,ellipseName:\"Delambre 1810 (Belgium)\"},s.engelis={a:6378136.05,rf:298.2566,ellipseName:\"Engelis 1985\"},s.evrst30={a:6377276.345,rf:300.8017,ellipseName:\"Everest 1830\"},s.evrst48={a:6377304.063,rf:300.8017,ellipseName:\"Everest 1948\"},s.evrst56={a:6377301.243,rf:300.8017,ellipseName:\"Everest 1956\"},s.evrst69={a:6377295.664,rf:300.8017,ellipseName:\"Everest 1969\"},s.evrstSS={a:6377298.556,rf:300.8017,ellipseName:\"Everest (Sabah & Sarawak)\"},s.fschr60={a:6378166,rf:298.3,ellipseName:\"Fischer (Mercury Datum) 1960\"},s.fschr60m={a:6378155,rf:298.3,ellipseName:\"Fischer 1960\"},s.fschr68={a:6378150,rf:298.3,ellipseName:\"Fischer 1968\"},s.helmert={a:6378200,rf:298.3,ellipseName:\"Helmert 1906\"},s.hough={a:6378270,rf:297,ellipseName:\"Hough\"},s.intl={a:6378388,rf:297,ellipseName:\"International 1909 (Hayford)\"},s.kaula={a:6378163,rf:298.24,ellipseName:\"Kaula 1961\"},s.lerch={a:6378139,rf:298.257,ellipseName:\"Lerch 1979\"},s.mprts={a:6397300,rf:191,ellipseName:\"Maupertius 1738\"},s.new_intl={a:6378157.5,b:6356772.2,ellipseName:\"New International 1967\"},s.plessis={a:6376523,rf:6355863,ellipseName:\"Plessis 1817 (France)\"},s.krass={a:6378245,rf:298.3,ellipseName:\"Krassovsky, 1942\"},s.SEasia={a:6378155,b:6356773.3205,ellipseName:\"Southeast Asia\"},s.walbeck={a:6376896,b:6355834.8467,ellipseName:\"Walbeck\"},s.WGS60={a:6378165,rf:298.3,ellipseName:\"WGS 60\"},s.WGS66={a:6378145,rf:298.25,ellipseName:\"WGS 66\"},s.WGS7={a:6378135,rf:298.26,ellipseName:\"WGS 72\"},l.WGS84=s.WGS84={a:6378137,rf:298.257223563,ellipseName:\"WGS 84\"},s.sphere={a:6370997,b:6370997,ellipseName:\"Normal Sphere (r=6370997)\"}},\n",
       "      function _(e,a,s){Object.defineProperty(s,\"__esModule\",{value:!0});var t={};s.default=t,t.wgs84={towgs84:\"0,0,0\",ellipse:\"WGS84\",datumName:\"WGS84\"},t.ch1903={towgs84:\"674.374,15.056,405.346\",ellipse:\"bessel\",datumName:\"swiss\"},t.ggrs87={towgs84:\"-199.87,74.79,246.62\",ellipse:\"GRS80\",datumName:\"Greek_Geodetic_Reference_System_1987\"},t.nad83={towgs84:\"0,0,0\",ellipse:\"GRS80\",datumName:\"North_American_Datum_1983\"},t.nad27={nadgrids:\"@conus,@alaska,@ntv2_0.gsb,@ntv1_can.dat\",ellipse:\"clrk66\",datumName:\"North_American_Datum_1927\"},t.potsdam={towgs84:\"606.0,23.0,413.0\",ellipse:\"bessel\",datumName:\"Potsdam Rauenberg 1950 DHDN\"},t.carthage={towgs84:\"-263.0,6.0,431.0\",ellipse:\"clark80\",datumName:\"Carthage 1934 Tunisia\"},t.hermannskogel={towgs84:\"653.0,-212.0,449.0\",ellipse:\"bessel\",datumName:\"Hermannskogel\"},t.osni52={towgs84:\"482.530,-130.596,564.557,-1.042,-0.214,-0.631,8.15\",ellipse:\"airy\",datumName:\"Irish National\"},t.ire65={towgs84:\"482.530,-130.596,564.557,-1.042,-0.214,-0.631,8.15\",ellipse:\"mod_airy\",datumName:\"Ireland 1965\"},t.rassadiran={towgs84:\"-133.63,-157.5,-158.62\",ellipse:\"intl\",datumName:\"Rassadiran\"},t.nzgd49={towgs84:\"59.47,-5.04,187.44,0.47,-0.1,1.024,-4.5993\",ellipse:\"intl\",datumName:\"New Zealand Geodetic Datum 1949\"},t.osgb36={towgs84:\"446.448,-125.157,542.060,0.1502,0.2470,0.8421,-20.4894\",ellipse:\"airy\",datumName:\"Airy 1830\"},t.s_jtsk={towgs84:\"589,76,480\",ellipse:\"bessel\",datumName:\"S-JTSK (Ferro)\"},t.beduaram={towgs84:\"-106,-87,188\",ellipse:\"clrk80\",datumName:\"Beduaram\"},t.gunung_segara={towgs84:\"-403,684,41\",ellipse:\"bessel\",datumName:\"Gunung Segara Jakarta\"},t.rnb72={towgs84:\"106.869,-52.2978,103.724,-0.33657,0.456955,-1.84218,1\",ellipse:\"intl\",datumName:\"Reseau National Belge 1972\"}},\n",
       "      function _(a,m,_){Object.defineProperty(_,\"__esModule\",{value:!0});const t=a(37);_.default=function(a,m,_,u,d,p){var r={};return r.datum_type=void 0===a||\"none\"===a?t.PJD_NODATUM:t.PJD_WGS84,m&&(r.datum_params=m.map(parseFloat),0===r.datum_params[0]&&0===r.datum_params[1]&&0===r.datum_params[2]||(r.datum_type=t.PJD_3PARAM),r.datum_params.length>3&&(0===r.datum_params[3]&&0===r.datum_params[4]&&0===r.datum_params[5]&&0===r.datum_params[6]||(r.datum_type=t.PJD_7PARAM,r.datum_params[3]*=t.SEC_TO_RAD,r.datum_params[4]*=t.SEC_TO_RAD,r.datum_params[5]*=t.SEC_TO_RAD,r.datum_params[6]=r.datum_params[6]/1e6+1))),r.a=_,r.b=u,r.es=d,r.ep2=p,r}},\n",
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       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const s=e(1).__importStar(e(18)),l=e(21);function c(e,t,a){e.moveTo(0,a+.5),e.lineTo(t,a+.5),e.stroke()}function i(e,t,a){e.moveTo(a+.5,0),e.lineTo(a+.5,t),e.stroke()}function h(e,t){e.moveTo(0,t),e.lineTo(t,0),e.stroke(),e.moveTo(0,0),e.lineTo(t,t),e.stroke()}function o(e,t,a,s){const l=a,o=l/2,n=o/2,r=function(e){const t=document.createElement(\"canvas\");return t.width=e,t.height=e,t}(a),_=r.getContext(\"2d\");switch(_.strokeStyle=t,_.lineCap=\"square\",_.fillStyle=t,_.lineWidth=s,e){case\" 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a=.1*t,s=o+e*a*Math.cos(a),l=o+e*a*Math.sin(a);_.lineTo(s,l)}_.stroke();break;case\"/\":case\"right_diagonal_line\":_.moveTo(.5-n,l),_.lineTo(n+.5,0),_.stroke(),_.moveTo(n+.5,l),_.lineTo(3*n+.5,0),_.stroke(),_.moveTo(3*n+.5,l),_.lineTo(5*n+.5,0),_.stroke(),_.stroke();break;case\"\\\\\":case\"left_diagonal_line\":_.moveTo(n+.5,l),_.lineTo(.5-n,0),_.stroke(),_.moveTo(3*n+.5,l),_.lineTo(n+.5,0),_.stroke(),_.moveTo(5*n+.5,l),_.lineTo(3*n+.5,0),_.stroke(),_.stroke();break;case\"x\":case\"diagonal_cross\":h(_,l);break;case\",\":case\"right_diagonal_dash\":_.moveTo(n+.5,3*n+.5),_.lineTo(3*n+.5,n+.5),_.stroke();break;case\"`\":case\"left_diagonal_dash\":_.moveTo(n+.5,n+.5),_.lineTo(3*n+.5,3*n+.5),_.stroke();break;case\"v\":case\"horizontal_wave\":_.moveTo(0,n),_.lineTo(o,3*n),_.lineTo(l,n),_.stroke();break;case\">\":case\"vertical_wave\":_.moveTo(n,0),_.lineTo(3*n,o),_.lineTo(n,l),_.stroke();break;case\"*\":case\"criss_cross\":h(_,l),c(_,l,o),i(_,l,o)}return r}class n{constructor(e,t=\"\"){this.obj=e,this.prefix=t,this.cache={};for(const a of this.attrs)this[a]=e.properties[t+a]}warm_cache(e){for(const t of this.attrs){const a=this.obj.properties[this.prefix+t];if(void 0!==a.spec.value)this.cache[t]=a.spec.value;else{if(null==e)throw new Error(\"source is required with a vectorized visual property\");this.cache[t+\"_array\"]=a.array(e)}}}cache_select(e,t){const a=this.obj.properties[this.prefix+e];let s;return void 0!==a.spec.value?this.cache[e]=s=a.spec.value:this.cache[e]=s=this.cache[e+\"_array\"][t],s}set_vectorize(e,t){null!=this.all_indices?this._set_vectorize(e,this.all_indices[t]):this._set_vectorize(e,t)}}a.ContextProperties=n,n.__name__=\"ContextProperties\";class r extends n{set_value(e){e.strokeStyle=this.line_color.value(),e.globalAlpha=this.line_alpha.value(),e.lineWidth=this.line_width.value(),e.lineJoin=this.line_join.value(),e.lineCap=this.line_cap.value(),e.setLineDash(this.line_dash.value()),e.setLineDashOffset(this.line_dash_offset.value())}get doit(){return!(null===this.line_color.spec.value||0==this.line_alpha.spec.value||0==this.line_width.spec.value)}_set_vectorize(e,t){this.cache_select(\"line_color\",t),e.strokeStyle!==this.cache.line_color&&(e.strokeStyle=this.cache.line_color),this.cache_select(\"line_alpha\",t),e.globalAlpha!==this.cache.line_alpha&&(e.globalAlpha=this.cache.line_alpha),this.cache_select(\"line_width\",t),e.lineWidth!==this.cache.line_width&&(e.lineWidth=this.cache.line_width),this.cache_select(\"line_join\",t),e.lineJoin!==this.cache.line_join&&(e.lineJoin=this.cache.line_join),this.cache_select(\"line_cap\",t),e.lineCap!==this.cache.line_cap&&(e.lineCap=this.cache.line_cap),this.cache_select(\"line_dash\",t),e.getLineDash()!==this.cache.line_dash&&e.setLineDash(this.cache.line_dash),this.cache_select(\"line_dash_offset\",t),e.getLineDashOffset()!==this.cache.line_dash_offset&&e.setLineDashOffset(this.cache.line_dash_offset)}color_value(){const[e,t,a,s]=l.color2rgba(this.line_color.value(),this.line_alpha.value());return`rgba(${255*e},${255*t},${255*a},${s})`}}a.Line=r,r.__name__=\"Line\",r.prototype.attrs=Object.keys(s.line());class _ extends n{set_value(e){e.fillStyle=this.fill_color.value(),e.globalAlpha=this.fill_alpha.value()}get doit(){return!(null===this.fill_color.spec.value||0==this.fill_alpha.spec.value)}_set_vectorize(e,t){this.cache_select(\"fill_color\",t),e.fillStyle!==this.cache.fill_color&&(e.fillStyle=this.cache.fill_color),this.cache_select(\"fill_alpha\",t),e.globalAlpha!==this.cache.fill_alpha&&(e.globalAlpha=this.cache.fill_alpha)}color_value(){const[e,t,a,s]=l.color2rgba(this.fill_color.value(),this.fill_alpha.value());return`rgba(${255*e},${255*t},${255*a},${s})`}}a.Fill=_,_.__name__=\"Fill\",_.prototype.attrs=Object.keys(s.fill());class p extends n{cache_select(e,t){let a;if(\"pattern\"==e){this.cache_select(\"hatch_color\",t),this.cache_select(\"hatch_scale\",t),this.cache_select(\"hatch_pattern\",t),this.cache_select(\"hatch_weight\",t);const{hatch_color:e,hatch_scale:a,hatch_pattern:s,hatch_weight:l,hatch_extra:c}=this.cache;if(null!=c&&c.hasOwnProperty(s)){const t=c[s];this.cache.pattern=t.get_pattern(e,a,l)}else this.cache.pattern=t=>{const c=o(s,e,a,l);return t.createPattern(c,\"repeat\")}}else a=super.cache_select(e,t);return a}_try_defer(e){const{hatch_pattern:t,hatch_extra:a}=this.cache;if(null!=a&&a.hasOwnProperty(t)){a[t].onload(e)}}get doit(){return!(null===this.hatch_color.spec.value||0==this.hatch_alpha.spec.value||\" \"==this.hatch_pattern.spec.value||\"blank\"==this.hatch_pattern.spec.value||null===this.hatch_pattern.spec.value)}doit2(e,t,a,s){if(!this.doit)return;this.cache_select(\"pattern\",t),null==this.cache.pattern(e)?this._try_defer(s):(this.set_vectorize(e,t),a())}_set_vectorize(e,t){this.cache_select(\"pattern\",t),e.fillStyle=this.cache.pattern(e),this.cache_select(\"hatch_alpha\",t),e.globalAlpha!==this.cache.hatch_alpha&&(e.globalAlpha=this.cache.hatch_alpha)}color_value(){const[e,t,a,s]=l.color2rgba(this.hatch_color.value(),this.hatch_alpha.value());return`rgba(${255*e},${255*t},${255*a},${s})`}}a.Hatch=p,p.__name__=\"Hatch\",p.prototype.attrs=Object.keys(s.hatch());class u extends n{cache_select(e,t){let a;if(\"font\"==e){super.cache_select(\"text_font_style\",t),super.cache_select(\"text_font_size\",t),super.cache_select(\"text_font\",t);const{text_font_style:e,text_font_size:s,text_font:l}=this.cache;this.cache.font=a=`${e} ${s} ${l}`}else a=super.cache_select(e,t);return a}font_value(){const e=this.text_font.value(),t=this.text_font_size.value();return this.text_font_style.value()+\" \"+t+\" \"+e}color_value(){const[e,t,a,s]=l.color2rgba(this.text_color.value(),this.text_alpha.value());return`rgba(${255*e},${255*t},${255*a},${s})`}set_value(e){e.font=this.font_value(),e.fillStyle=this.text_color.value(),e.globalAlpha=this.text_alpha.value(),e.textAlign=this.text_align.value(),e.textBaseline=this.text_baseline.value()}get doit(){return!(null===this.text_color.spec.value||0==this.text_alpha.spec.value)}_set_vectorize(e,t){this.cache_select(\"font\",t),e.font!==this.cache.font&&(e.font=this.cache.font),this.cache_select(\"text_color\",t),e.fillStyle!==this.cache.text_color&&(e.fillStyle=this.cache.text_color),this.cache_select(\"text_alpha\",t),e.globalAlpha!==this.cache.text_alpha&&(e.globalAlpha=this.cache.text_alpha),this.cache_select(\"text_align\",t),e.textAlign!==this.cache.text_align&&(e.textAlign=this.cache.text_align),this.cache_select(\"text_baseline\",t),e.textBaseline!==this.cache.text_baseline&&(e.textBaseline=this.cache.text_baseline)}}a.Text=u,u.__name__=\"Text\",u.prototype.attrs=Object.keys(s.text());class f{constructor(e){for(const t of e.mixins){const[a,s=\"\"]=t.split(\":\");let l;switch(a){case\"line\":l=r;break;case\"fill\":l=_;break;case\"hatch\":l=p;break;case\"text\":l=u;break;default:throw new Error(`unknown visual: ${a}`)}this[s+a]=new l(e,s)}}warm_cache(e){for(const t in this)if(this.hasOwnProperty(t)){const a=this[t];a instanceof n&&a.warm_cache(e)}}set_all_indices(e){for(const t in this)if(this.hasOwnProperty(t)){const a=this[t];a instanceof n&&(a.all_indices=e)}}}a.Visuals=f,f.__name__=\"Visuals\"},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),c=e(13),r=n.__importStar(e(19)),a=e(8),i=e(23),o=e(70);class _ extends c.HasProps{constructor(e){super(e)}static init_Model(){this.define({tags:[r.Array,[]],name:[r.String],js_property_callbacks:[r.Any,{}],js_event_callbacks:[r.Any,{}],subscribed_events:[r.Array,[]]})}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){for(const t of this.js_event_callbacks[e.event_name]||[])t.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.id):o.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 in this._js_callbacks){const s=this._js_callbacks[t],n=e(t);for(const e of s)this.disconnect(n,e)}this._js_callbacks={};for(const t in this.js_property_callbacks){const s=this.js_property_callbacks[t].map(e=>()=>e.execute(this));this._js_callbacks[t]=s;const n=e(t);for(const e of s)this.connect(n,e)}}_doc_attached(){i.isEmpty(this.js_event_callbacks)&&i.isEmpty(this.subscribed_events)||this._update_event_callbacks()}select(e){if(a.isString(e))return this.references().filter(t=>t instanceof _&&t.name===e);if(e.prototype instanceof c.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=_,_.__name__=\"Model\",_.init_Model()},\n",
       "      function _(e,l,o){Object.defineProperty(o,\"__esModule\",{value:!0});const n=e(8),t={};class s{constructor(e,l){this.name=e,this.level=l}}o.LogLevel=s,s.__name__=\"LogLevel\";class g{constructor(e,l=g.INFO){this._name=e,this.set_level(l)}static get levels(){return Object.keys(g.log_levels)}static get(e,l=g.INFO){if(e.length>0){let o=t[e];return null==o&&(t[e]=o=new g(e,l)),o}throw new TypeError(\"Logger.get() expects a non-empty string name and an optional log-level\")}get level(){return this.get_level()}get_level(){return this._log_level}set_level(e){if(e instanceof s)this._log_level=e;else{if(!n.isString(e)||null==g.log_levels[e])throw new Error(\"Logger.set_level() expects a log-level object or a string name of a log-level\");this._log_level=g.log_levels[e]}const l=`[${this._name}]`;for(const e in g.log_levels){g.log_levels[e].level<this._log_level.level||this._log_level.level===g.OFF.level?this[e]=function(){}:this[e]=r(e,l)}}trace(...e){}debug(...e){}info(...e){}warn(...e){}error(...e){}}function r(e,l){return null!=console[e]?console[e].bind(console,l):null!=console.log?console.log.bind(console,l):function(){}}function i(e){const l=o.logger.level;return n.isString(e)&&null==g.log_levels[e]?(console.log(`[bokeh] unrecognized logging level '${e}' passed to Bokeh.set_log_level(), ignoring`),console.log(`[bokeh] valid log levels are: ${g.levels.join(\", \")}`)):(console.log(`[bokeh] setting log level to: '${n.isString(e)?e:e.level}'`),o.logger.set_level(e)),l}o.Logger=g,g.__name__=\"Logger\",g.TRACE=new s(\"trace\",0),g.DEBUG=new s(\"debug\",1),g.INFO=new s(\"info\",2),g.WARN=new s(\"warn\",6),g.ERROR=new s(\"error\",7),g.FATAL=new s(\"fatal\",8),g.OFF=new s(\"off\",9),g.log_levels={trace:g.TRACE,debug:g.DEBUG,info:g.INFO,warn:g.WARN,error:g.ERROR,fatal:g.FATAL,off:g.OFF},o.logger=g.get(\"bokeh\"),o.set_log_level=i,o.with_log_level=function(e,l){const o=i(e);try{l()}finally{i(o)}}},\n",
       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),a=t(29),n=t(72),r=t(73),o=i.__importStar(t(19)),_=t(10);class l extends a.AnnotationView{initialize(){super.initialize(),null==this.model.source&&(this.model.source=new r.ColumnDataSource),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.set_data(this.model.source)),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source))}set_data(t){super.set_data(t),this.visuals.warm_cache(t),this.plot_view.request_render()}_map_data(){const{frame:t}=this.plot_view;let e,s,i,a;return\"data\"==this.model.start_units?(e=t.xscales[this.model.x_range_name].v_compute(this._x_start),s=t.yscales[this.model.y_range_name].v_compute(this._y_start)):(e=t.xview.v_compute(this._x_start),s=t.yview.v_compute(this._y_start)),\"data\"==this.model.end_units?(i=t.xscales[this.model.x_range_name].v_compute(this._x_end),a=t.yscales[this.model.y_range_name].v_compute(this._y_end)):(i=t.xview.v_compute(this._x_end),a=t.yview.v_compute(this._y_end)),[[e,s],[i,a]]}render(){if(!this.model.visible)return;const{ctx:t}=this.plot_view.canvas_view;t.save();const[e,s]=this._map_data();null!=this.model.end&&this._arrow_head(t,\"render\",this.model.end,e,s),null!=this.model.start&&this._arrow_head(t,\"render\",this.model.start,s,e),t.beginPath();const{x:i,y:a,width:n,height:r}=this.plot_view.frame.bbox;t.rect(i,a,n,r),null!=this.model.end&&this._arrow_head(t,\"clip\",this.model.end,e,s),null!=this.model.start&&this._arrow_head(t,\"clip\",this.model.start,s,e),t.closePath(),t.clip(),this._arrow_body(t,e,s),t.restore()}_arrow_head(t,e,s,i,a){for(let n=0,r=this._x_start.length;n<r;n++){const r=Math.PI/2+_.atan2([i[0][n],i[1][n]],[a[0][n],a[1][n]]);t.save(),t.translate(a[0][n],a[1][n]),t.rotate(r),\"render\"==e?s.render(t,n):\"clip\"==e&&s.clip(t,n),t.restore()}}_arrow_body(t,e,s){if(this.visuals.line.doit)for(let i=0,a=this._x_start.length;i<a;i++)this.visuals.line.set_vectorize(t,i),t.beginPath(),t.moveTo(e[0][i],e[1][i]),t.lineTo(s[0][i],s[1][i]),t.stroke()}}s.ArrowView=l,l.__name__=\"ArrowView\";class h extends a.Annotation{constructor(t){super(t)}static init_Arrow(){this.prototype.default_view=l,this.mixins([\"line\"]),this.define({x_start:[o.NumberSpec],y_start:[o.NumberSpec],start_units:[o.SpatialUnits,\"data\"],start:[o.Instance,null],x_end:[o.NumberSpec],y_end:[o.NumberSpec],end_units:[o.SpatialUnits,\"data\"],end:[o.Instance,()=>new n.OpenHead({})],source:[o.Instance],x_range_name:[o.String,\"default\"],y_range_name:[o.String,\"default\"]})}}s.Arrow=h,h.__name__=\"Arrow\",h.init_Arrow()},\n",
       "      function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),l=i(29),n=i(68),o=t.__importStar(i(19));class h extends l.Annotation{constructor(i){super(i)}static init_ArrowHead(){this.define({size:[o.Number,25]})}initialize(){super.initialize(),this.visuals=new n.Visuals(this)}}s.ArrowHead=h,h.__name__=\"ArrowHead\",h.init_ArrowHead();class a extends h{constructor(i){super(i)}static init_OpenHead(){this.mixins([\"line\"])}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(0,0),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.stroke())}}s.OpenHead=a,a.__name__=\"OpenHead\",a.init_OpenHead();class r extends h{constructor(i){super(i)}static init_NormalHead(){this.mixins([\"line\",\"fill\"]),this.override({fill_color:\"black\"})}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(i,e),this._normal(i,e),i.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),this._normal(i,e),i.stroke())}_normal(i,e){i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.closePath()}}s.NormalHead=r,r.__name__=\"NormalHead\",r.init_NormalHead();class z extends h{constructor(i){super(i)}static init_VeeHead(){this.mixins([\"line\",\"fill\"]),this.override({fill_color:\"black\"})}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(0,.5*this.size),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(i,e),this._vee(i,e),i.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),this._vee(i,e),i.stroke())}_vee(i,e){i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.lineTo(0,.5*this.size),i.closePath()}}s.VeeHead=z,z.__name__=\"VeeHead\",z.init_VeeHead();class _ extends h{constructor(i){super(i)}static init_TeeHead(){this.mixins([\"line\"])}render(i,e){this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),i.beginPath(),i.moveTo(.5*this.size,0),i.lineTo(-.5*this.size,0),i.stroke())}clip(i,e){}}s.TeeHead=_,_.__name__=\"TeeHead\",_.init_TeeHead()},\n",
       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=t(1),a=t(74),o=t(13),i=s.__importStar(t(19)),r=t(15),l=t(100),u=t(8),c=s.__importStar(t(102)),_=t(23),h=t(103);function d(t,e,n){if(u.isArray(t)){const s=t.concat(e);return null!=n&&s.length>n?s.slice(-n):s}if(u.isTypedArray(t)){const s=t.length+e.length;if(null!=n&&s>n){const a=s-n,o=t.length;let i;t.length<n?(i=new t.constructor(n),i.set(t,0)):i=t;for(let t=a,e=o;t<e;t++)i[t-a]=i[t];for(let t=0,n=e.length;t<n;t++)i[t+(o-a)]=e[t];return i}{const n=new t.constructor(e);return c.concat(t,n)}}throw new Error(\"unsupported array types\")}function m(t,e){let n,s,a;return u.isNumber(t)?(n=t,a=t+1,s=1):(n=null!=t.start?t.start:0,a=null!=t.stop?t.stop:e,s=null!=t.step?t.step:1),[n,a,s]}function f(t,e,n){const s=new r.Set;let a=!1;for(const[o,i]of e){let e,r,l,c;if(u.isArray(o)){const[a]=o;s.add(a),r=n[a],e=t[a],c=i,2===o.length?(r=[1,r[0]],l=[o[0],0,o[1]]):l=o}else u.isNumber(o)?(c=[i],s.add(o)):(c=i,a=!0),l=[0,0,o],r=[1,t.length],e=t;let _=0;const[h,d,f]=m(l[1],r[0]),[p,g,y]=m(l[2],r[1]);for(let t=h;t<d;t+=f)for(let n=p;n<g;n+=y)a&&s.add(n),e[t*r[1]+n]=c[_],_++}return s}n.stream_to_column=d,n.slice=m,n.patch_to_column=f;class p extends a.ColumnarDataSource{constructor(t){super(t)}static init_ColumnDataSource(){this.define({data:[i.Any,{}]})}initialize(){super.initialize(),[this.data,this._shapes]=l.decode_column_data(this.data)}attributes_as_json(t=!0,e=p._value_to_json){const n={},s=this.serializable_attributes();for(const e of _.keys(s)){let a=s[e];\"data\"===e&&(a=l.encode_column_data(a,this._shapes)),(t||e in this._set_after_defaults)&&(n[e]=a)}return e(\"attributes\",n,this)}static _value_to_json(t,e,n){return u.isPlainObject(e)&&\"data\"===t?l.encode_column_data(e,n._shapes):o.HasProps._value_to_json(t,e,n)}stream(t,e,n){const{data:s}=this;for(const n in t)s[n]=d(s[n],t[n],e);if(this.setv({data:s},{silent:!0}),this.streaming.emit(),null!=this.document){const s=new h.ColumnsStreamedEvent(this.document,this.ref(),t,e);this.document._notify_change(this,\"data\",null,null,{setter_id:n,hint:s})}}patch(t,e){const{data:n}=this;let s=new r.Set;for(const e in t){const a=t[e];s=s.union(f(n[e],a,this._shapes[e]))}if(this.setv({data:n},{silent:!0}),this.patching.emit(s.values),null!=this.document){const n=new h.ColumnsPatchedEvent(this.document,this.ref(),t);this.document._notify_change(this,\"data\",null,null,{setter_id:e,hint:n})}}}n.ColumnDataSource=p,p.__name__=\"ColumnDataSource\",p.init_ColumnDataSource()},\n",
       "      function _(t,n,e){Object.defineProperty(e,\"__esModule\",{value:!0});const a=t(1),s=t(75),i=t(14),r=t(70),c=t(77),l=a.__importStar(t(19)),o=t(8),u=t(9),h=t(23),g=t(76),_=t(99);class d extends s.DataSource{constructor(t){super(t)}get_array(t){let n=this.data[t];return null==n?this.data[t]=n=[]:o.isArray(n)||(this.data[t]=n=Array.from(n)),n}static init_ColumnarDataSource(){this.define({selection_policy:[l.Instance,()=>new _.UnionRenderers]}),this.internal({selection_manager:[l.Instance,t=>new c.SelectionManager({source:t})],inspected:[l.Instance,()=>new g.Selection],_shapes:[l.Any,{}]})}initialize(){super.initialize(),this._select=new i.Signal0(this,\"select\"),this.inspect=new i.Signal(this,\"inspect\"),this.streaming=new i.Signal0(this,\"streaming\"),this.patching=new i.Signal(this,\"patching\")}get_column(t){const n=this.data[t];return null!=n?n:null}columns(){return h.keys(this.data)}get_length(t=!0){const n=u.uniq(h.values(this.data).map(t=>t.length));switch(n.length){case 0:return null;case 1:return n[0];default:{const e=\"data source has columns of inconsistent lengths\";if(t)return r.logger.warn(e),n.sort()[0];throw new Error(e)}}}get_indices(){const t=this.get_length();return u.range(0,null!=t?t:1)}clear(){const t={};for(const n of this.columns())t[n]=new this.data[n].constructor(0);this.data=t}}e.ColumnarDataSource=d,d.__name__=\"ColumnarDataSource\",d.init_ColumnarDataSource()},\n",
       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const c=e(1),n=e(69),o=e(76),i=c.__importStar(e(19));class r extends n.Model{constructor(e){super(e)}static init_DataSource(){this.define({selected:[i.Instance,()=>new o.Selection]})}}a.DataSource=r,r.__name__=\"DataSource\",r.init_DataSource()},\n",
       "      function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),n=i(69),l=t.__importStar(i(19)),_=i(9),h=i(23);class c extends n.Model{constructor(i){super(i)}static init_Selection(){this.define({indices:[l.Array,[]],line_indices:[l.Array,[]],multiline_indices:[l.Any,{}]}),this.internal({final:[l.Boolean],selected_glyphs:[l.Array,[]],get_view:[l.Any],image_indices:[l.Array,[]]})}initialize(){super.initialize(),this.get_view=()=>null}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,s){this.final=e,s?this.update_through_union(i):(this.indices=i.indices,this.line_indices=i.line_indices,this.selected_glyphs=i.selected_glyphs,this.get_view=i.get_view,this.multiline_indices=i.multiline_indices,this.image_indices=i.image_indices)}clear(){this.final=!0,this.indices=[],this.line_indices=[],this.multiline_indices={},this.get_view=()=>null,this.selected_glyphs=[]}is_empty(){return 0==this.indices.length&&0==this.line_indices.length&&0==this.image_indices.length}update_through_union(i){this.indices=_.union(i.indices,this.indices),this.selected_glyphs=_.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=_.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=h.merge(i.multiline_indices,this.multiline_indices)}update_through_intersection(i){this.indices=_.intersection(i.indices,this.indices),this.selected_glyphs=_.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=_.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=h.merge(i.multiline_indices,this.multiline_indices)}}s.Selection=c,c.__name__=\"Selection\",c.init_Selection()},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(13),o=e(76),c=e(78),r=e(97),l=s.__importStar(e(19));class _ extends n.HasProps{constructor(e){super(e),this.inspectors={}}static init_SelectionManager(){this.internal({source:[l.Any]})}select(e,t,i,s=!1){const n=[],o=[];for(const t of e)t instanceof c.GlyphRendererView?n.push(t):t instanceof r.GraphRendererView&&o.push(t);let l=!1;for(const e of o){const n=e.model.selection_policy.hit_test(t,e);l=l||e.model.selection_policy.do_selection(n,e.model,i,s)}if(n.length>0){const e=this.source.selection_policy.hit_test(t,n);l=l||this.source.selection_policy.do_selection(e,this.source,i,s)}return l}inspect(e,t){let i=!1;if(e instanceof c.GlyphRendererView){const s=e.hit_test(t);if(null!=s){i=!s.is_empty();const n=this.get_or_create_inspector(e.model);n.update(s,!0,!1),this.source.setv({inspected:n},{silent:!0}),this.source.inspect.emit([e,{geometry:t}])}}else if(e instanceof r.GraphRendererView){const s=e.model.inspection_policy.hit_test(t,e);i=i||e.model.inspection_policy.do_inspection(s,t,e,!1,!1)}return i}clear(e){this.source.selected.clear(),null!=e&&this.get_or_create_inspector(e.model).clear()}get_or_create_inspector(e){return null==this.inspectors[e.id]&&(this.inspectors[e.id]=new o.Selection),this.inspectors[e.id]}}i.SelectionManager=_,_.__name__=\"SelectionManager\",_.init_SelectionManager()},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),l=e(79),n=e(80),h=e(91),o=e(92),a=e(94),r=e(95),_=e(70),d=s.__importStar(e(19)),c=e(12),g=e(9),p=e(23),y=e(96),u=e(88),m={fill:{},line:{}},v={fill:{fill_alpha:.3,fill_color:\"grey\"},line:{line_alpha:.3,line_color:\"grey\"}},f={fill:{fill_alpha:.2},line:{}};class w extends l.DataRendererView{async lazy_initialize(){await super.lazy_initialize();const e=this.model.glyph,t=g.includes(e.mixins,\"fill\"),i=g.includes(e.mixins,\"line\"),s=p.clone(e.attributes);function l(l){const n=p.clone(s);return t&&p.extend(n,l.fill),i&&p.extend(n,l.line),new e.constructor(n)}delete s.id,this.glyph=await this.build_glyph_view(e);let{selection_glyph:n}=this.model;null==n?n=l({fill:{},line:{}}):\"auto\"===n&&(n=l(m)),this.selection_glyph=await this.build_glyph_view(n);let{nonselection_glyph:h}=this.model;null==h?h=l({fill:{},line:{}}):\"auto\"===h&&(h=l(f)),this.nonselection_glyph=await this.build_glyph_view(h);const{hover_glyph:o}=this.model;null!=o&&(this.hover_glyph=await this.build_glyph_view(o));const{muted_glyph:a}=this.model;null!=a&&(this.muted_glyph=await this.build_glyph_view(a));const r=l(v);this.decimated_glyph=await this.build_glyph_view(r),this.xscale=this.plot_view.frame.xscales[this.model.x_range_name],this.yscale=this.plot_view.frame.yscales[this.model.y_range_name],this.set_data(!1)}async build_glyph_view(e){return y.build_view(e,{parent:this})}remove(){var e,t;this.glyph.remove(),this.selection_glyph.remove(),this.nonselection_glyph.remove(),null===(e=this.hover_glyph)||void 0===e||e.remove(),null===(t=this.muted_glyph)||void 0===t||t.remove(),this.decimated_glyph.remove(),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render()),this.connect(this.model.glyph.change,()=>this.set_data()),this.connect(this.model.data_source.change,()=>this.set_data()),this.connect(this.model.data_source.streaming,()=>this.set_data()),this.connect(this.model.data_source.patching,e=>this.set_data(!0,e)),this.connect(this.model.data_source.selected.change,()=>this.request_render()),this.connect(this.model.data_source._select,()=>this.request_render()),null!=this.hover_glyph&&this.connect(this.model.data_source.inspect,()=>this.request_render()),this.connect(this.model.properties.view.change,()=>this.set_data()),this.connect(this.model.view.change,()=>this.set_data()),this.connect(this.model.properties.visible.change,()=>this.plot_view.update_dataranges());const{x_ranges:e,y_ranges:t}=this.plot_view.frame;for(const t in e){const i=e[t];i instanceof u.FactorRange&&this.connect(i.change,()=>this.set_data())}for(const e in t){const i=t[e];i instanceof u.FactorRange&&this.connect(i.change,()=>this.set_data())}this.connect(this.model.glyph.transformchange,()=>this.set_data())}have_selection_glyphs(){return null!=this.selection_glyph&&null!=this.nonselection_glyph}set_data(e=!0,t=null){const i=Date.now(),s=this.model.data_source;this.all_indices=this.model.view.indices,this.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0}),this.glyph.set_data(s,this.all_indices,t),this.glyph.set_visuals(s),this.decimated_glyph.set_visuals(s),this.have_selection_glyphs()&&(this.selection_glyph.set_visuals(s),this.nonselection_glyph.set_visuals(s)),null!=this.hover_glyph&&this.hover_glyph.set_visuals(s),null!=this.muted_glyph&&this.muted_glyph.set_visuals(s);const{lod_factor:l}=this.plot_model;this.decimated=[];for(let e=0,t=Math.floor(this.all_indices.length/l);e<t;e++)this.decimated.push(e*l);const n=Date.now()-i;_.logger.debug(`${this.glyph.model.type} GlyphRenderer (${this.model.id}): set_data finished in ${n}ms`),this.set_data_timestamp=Date.now(),e&&this.request_render()}get has_webgl(){return this.glyph.has_webgl}render(){if(!this.model.visible)return;const e=Date.now(),t=this.has_webgl;this.glyph.map_data();const i=Date.now()-e,s=Date.now();let l=this.glyph.mask_data(this.all_indices);l.length===this.all_indices.length&&(l=g.range(0,this.all_indices.length));const r=Date.now()-s,{ctx:d}=this.plot_view.canvas_view;d.save();const{selected:p}=this.model.data_source;let y;y=!p||p.is_empty()?[]:this.glyph instanceof n.LineView&&p.selected_glyph===this.glyph.model?this.model.view.convert_indices_from_subset(l):p.indices;const{inspected:u}=this.model.data_source,m=new Set((()=>!u||u.is_empty()?[]:u.selected_glyph?this.model.view.convert_indices_from_subset(l):u.indices.length>0?u.indices:c.map(Object.keys(u.multiline_indices),e=>parseInt(e)))()),v=c.filter(l,e=>m.has(this.all_indices[e])),{lod_threshold:f}=this.plot_model;let w,b,x;null!=this.model.document&&this.model.document.interactive_duration()>0&&!t&&null!=f&&this.all_indices.length>f?(l=this.decimated,w=this.decimated_glyph,b=this.decimated_glyph,x=this.selection_glyph):(w=this.model.muted&&null!=this.muted_glyph?this.muted_glyph:this.glyph,b=this.nonselection_glyph,x=this.selection_glyph),null!=this.hover_glyph&&v.length&&(l=g.difference(l,v));let D,R=null;if(y.length&&this.have_selection_glyphs()){const e=Date.now(),t={};for(const e of y)t[e]=!0;const i=new Array,s=new Array;if(this.glyph instanceof n.LineView)for(const e of this.all_indices)null!=t[e]?i.push(e):s.push(e);else for(const e of l)null!=t[this.all_indices[e]]?i.push(e):s.push(e);R=Date.now()-e,D=Date.now(),b.render(d,s,this.glyph),x.render(d,i,this.glyph),null!=this.hover_glyph&&(this.glyph instanceof n.LineView?this.hover_glyph.render(d,this.model.view.convert_indices_from_subset(v),this.glyph):this.hover_glyph.render(d,v,this.glyph))}else if(D=Date.now(),this.glyph instanceof n.LineView)this.hover_glyph&&v.length?this.hover_glyph.render(d,this.model.view.convert_indices_from_subset(v),this.glyph):w.render(d,this.all_indices,this.glyph);else if(this.glyph instanceof h.PatchView||this.glyph instanceof o.HAreaView||this.glyph instanceof a.VAreaView)if(0==u.selected_glyphs.length||null==this.hover_glyph)w.render(d,this.all_indices,this.glyph);else for(const e of u.selected_glyphs)e.id==this.glyph.model.id&&this.hover_glyph.render(d,this.all_indices,this.glyph);else w.render(d,l,this.glyph),this.hover_glyph&&v.length&&this.hover_glyph.render(d,v,this.glyph);const V=Date.now()-D;this.last_dtrender=V;const $=Date.now()-e;_.logger.debug(`${this.glyph.model.type} GlyphRenderer (${this.model.id}): render finished in ${$}ms`),_.logger.trace(` - map_data finished in       : ${i}ms`),_.logger.trace(` - mask_data finished in      : ${r}ms`),null!=R&&_.logger.trace(` - selection mask finished in : ${R}ms`),_.logger.trace(` - glyph renders finished in  : ${V}ms`),d.restore()}draw_legend(e,t,i,s,l,n,h,o){null==o&&(o=this.model.get_reference_point(n,h)),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=w,w.__name__=\"GlyphRendererView\";class b extends l.DataRenderer{constructor(e){super(e)}static init_GlyphRenderer(){this.prototype.default_view=w,this.define({data_source:[d.Instance],view:[d.Instance,()=>new r.CDSView],glyph:[d.Instance],hover_glyph:[d.Instance],nonselection_glyph:[d.Any,\"auto\"],selection_glyph:[d.Any,\"auto\"],muted_glyph:[d.Instance],muted:[d.Boolean,!1]})}initialize(){super.initialize(),null==this.view.source&&(this.view.source=this.data_source,this.view.compute_indices())}get_reference_point(e,t){let i=0;if(null!=e){const s=this.data_source.get_column(e);if(null!=s){const e=c.indexOf(s,t);-1!=e&&(i=e)}}return i}get_selection_manager(){return this.data_source.selection_manager}}i.GlyphRenderer=b,b.__name__=\"GlyphRenderer\",b.init_GlyphRenderer()},\n",
       "      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),a=e(63),_=t.__importStar(e(19));class i extends a.RendererView{}n.DataRendererView=i,i.__name__=\"DataRendererView\";class d extends a.Renderer{constructor(e){super(e)}static init_DataRenderer(){this.define({x_range_name:[_.String,\"default\"],y_range_name:[_.String,\"default\"]}),this.override({level:\"glyph\"})}}n.DataRenderer=d,d.__name__=\"DataRenderer\",d.init_DataRenderer()},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(81),_=e(90),l=s.__importStar(e(87));class r extends n.XYGlyphView{_render(e,t,{sx:i,sy:s}){let n=!1,_=null;this.visuals.line.set_value(e);for(const l of t){if(n){if(!isFinite(i[l]+s[l])){e.stroke(),e.beginPath(),n=!1,_=l;continue}null!=_&&l-_>1&&(e.stroke(),n=!1)}n?e.lineTo(i[l],s[l]):(e.beginPath(),e.moveTo(i[l],s[l]),n=!0),_=l}n&&e.stroke()}_hit_point(e){const t=l.create_empty_hit_test_result(),i={x:e.sx,y:e.sy};let s=9999;const n=Math.max(2,this.visuals.line.line_width.value()/2);for(let e=0,_=this.sx.length-1;e<_;e++){const _={x:this.sx[e],y:this.sy[e]},r={x:this.sx[e+1],y:this.sy[e+1]},h=l.dist_to_segment(i,_,r);h<n&&h<s&&(s=h,t.add_to_selected_glyphs(this.model),t.get_view=()=>this,t.line_indices=[e])}return t}_hit_span(e){const{sx:t,sy:i}=e,s=l.create_empty_hit_test_result();let n,_;\"v\"==e.direction?(n=this.renderer.yscale.invert(i),_=this._y):(n=this.renderer.xscale.invert(t),_=this._x);for(let e=0,t=_.length-1;e<t;e++)(_[e]<=n&&n<=_[e+1]||_[e+1]<=n&&n<=_[e])&&(s.add_to_selected_glyphs(this.model),s.get_view=()=>this,s.line_indices.push(e));return s}get_interpolation_hit(e,t){const[i,s,n,l]=[this._x[e],this._y[e],this._x[e+1],this._y[e+1]];return _.line_interpolation(this.renderer,t,i,s,n,l)}draw_legend_for_index(e,t,i){_.generic_line_legend(this.visuals,e,t,i)}}i.LineView=r,r.__name__=\"LineView\";class h extends n.XYGlyph{constructor(e){super(e)}static init_Line(){this.prototype.default_view=r,this.mixins([\"line\"])}}i.Line=h,h.__name__=\"Line\",h.init_Line()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(82),n=e(86);class _ extends n.GlyphView{_index_data(){const e=[];for(let t=0,s=this._x.length;t<s;t++){const s=this._x[t],i=this._y[t];!isNaN(s+i)&&isFinite(s+i)&&e.push({x0:s,y0:i,x1:s,y1:i,i:t})}return new i.SpatialIndex(e)}scenterx(e){return this.sx[e]}scentery(e){return this.sy[e]}}s.XYGlyphView=_,_.__name__=\"XYGlyphView\";class h extends n.Glyph{constructor(e){super(e)}static init_XYGlyph(){this.coords([[\"x\",\"y\"]])}}s.XYGlyph=h,h.__name__=\"XYGlyph\",h.init_XYGlyph()},\n",
       "      function _(n,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=n(1).__importDefault(n(83)),s=n(85);class r{constructor(n){if(this.points=n,this.index=null,n.length>0){this.index=new e.default(n.length);for(const t of n){const{x0:n,y0:i,x1:e,y1:s}=t;this.index.add(n,i,e,s)}this.index.finish()}}_normalize(n){let{x0:t,y0:i,x1:e,y1:s}=n;return t>e&&([t,e]=[e,t]),i>s&&([i,s]=[s,i]),{x0:t,y0:i,x1:e,y1:s}}get bbox(){if(null==this.index)return s.empty();{const{minX:n,minY:t,maxX:i,maxY:e}=this.index;return{x0:n,y0:t,x1:i,y1:e}}}search(n){if(null==this.index)return[];{const{x0:t,y0:i,x1:e,y1:s}=this._normalize(n);return this.index.search(t,i,e,s).map(n=>this.points[n])}}indices(n){return this.search(n).map(({i:n})=>n)}}i.SpatialIndex=r,r.__name__=\"SpatialIndex\"},\n",
       "      function _(t,s,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1).__importDefault(t(84)),h=[Int8Array,Uint8Array,Uint8ClampedArray,Int16Array,Uint16Array,Int32Array,Uint32Array,Float32Array,Float64Array];class n{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),[o]=new Uint32Array(t,4,1);return new n(o,e,h[15&i],t)}constructor(t,s=16,i=Float64Array,n){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 o=t,r=o;this._levelBounds=[4*o];do{o=Math.ceil(o/this.nodeSize),r+=o,this._levelBounds.push(4*r)}while(1!==o);this.ArrayType=i||Float64Array,this.IndexArrayType=r<16384?Uint16Array:Uint32Array;const a=h.indexOf(this.ArrayType),_=4*r*this.ArrayType.BYTES_PER_ELEMENT;if(a<0)throw new Error(`Unexpected typed array class: ${i}.`);n&&n instanceof ArrayBuffer?(this.data=n,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 e.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,t<this.minX&&(this.minX=t),s<this.minY&&(this.minY=s),i>this.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}.`);const t=this.maxX-this.minX,s=this.maxY-this.minY,i=new Uint32Array(this.numItems);for(let e=0;e<this.numItems;e++){let h=4*e;const n=this._boxes[h++],o=this._boxes[h++],r=this._boxes[h++],a=this._boxes[h++],d=Math.floor(65535*((n+r)/2-this.minX)/t),l=Math.floor(65535*((o+a)/2-this.minY)/s);i[e]=_(d,l)}!function t(s,i,e,h,n){if(h>=n)return;const o=s[h+n>>1];let r=h-1,_=n+1;for(;;){do{r++}while(s[r]<o);do{_--}while(s[_]>o);if(r>=_)break;a(s,i,e,r,_)}t(s,i,e,h,_),t(s,i,e,_+1,n)}(i,this._boxes,this._indices,0,this.numItems-1);for(let t=0,s=0;t<this._levelBounds.length-1;t++){const i=this._levelBounds[t];for(;s<i;){let t=1/0,e=1/0,h=-1/0,n=-1/0;const o=s;for(let o=0;o<this.nodeSize&&s<i;o++){const i=this._boxes[s++],o=this._boxes[s++],r=this._boxes[s++],a=this._boxes[s++];i<t&&(t=i),o<e&&(e=o),r>h&&(h=r),a>n&&(n=a)}this._indices[this._pos>>2]=o,this._boxes[this._pos++]=t,this._boxes[this._pos++]=e,this._boxes[this._pos++]=h,this._boxes[this._pos++]=n}}}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,o=this._levelBounds.length-1;const r=[],a=[];for(;void 0!==n;){const _=Math.min(n+4*this.nodeSize,this._levelBounds[o]);for(let d=n;d<_;d+=4){const _=0|this._indices[d>>2];i<this._boxes[d]||(e<this._boxes[d+1]||t>this._boxes[d+2]||s>this._boxes[d+3]||(n<4*this.numItems?(void 0===h||h(_))&&a.push(_):(r.push(_),r.push(o-1))))}o=r.pop(),n=r.pop()}return a}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 a=this._queue,_=[],d=e*e;for(;void 0!==n;){const e=Math.min(n+4*this.nodeSize,r(n,this._levelBounds));for(let i=n;i<e;i+=4){const e=0|this._indices[i>>2],r=o(t,this._boxes[i],this._boxes[i+2]),_=o(s,this._boxes[i+1],this._boxes[i+3]),d=r*r+_*_;n<4*this.numItems?(void 0===h||h(e))&&a.push(-e-1,d):a.push(e,d)}for(;a.length&&a.peek()<0;){if(a.peekValue()>d)return a.clear(),_;if(_.push(-a.pop()-1),_.length===i)return a.clear(),_}n=a.pop()}return a.clear(),_}}function o(t,s,i){return t<s?s-t:t<=i?0:t-i}function r(t,s){let i=0,e=s.length-1;for(;i<e;){const h=i+e>>1;s[h]>t?e=h:i=h+1}return s[i]}function a(t,s,i,e,h){const n=t[e];t[e]=t[h],t[h]=n;const o=4*e,r=4*h,a=s[o],_=s[o+1],d=s[o+2],l=s[o+3];s[o]=s[r],s[o+1]=s[r+1],s[o+2]=s[r+2],s[o+3]=s[r+3],s[r]=a,s[r+1]=_,s[r+2]=d,s[r+3]=l;const u=i[e];i[e]=i[h],i[h]=u}function _(t,s){let i=t^s,e=65535^i,h=65535^(t|s),n=t&(65535^s),o=i|e>>1,r=i>>1^i,a=h>>1^e&n>>1^h,_=i&h>>1^n>>1^n;i=o,e=r,h=a,n=_,o=i&i>>2^e&e>>2,r=i&e>>2^e&(i^e)>>2,a^=i&h>>2^e&n>>2,_^=e&h>>2^(i^e)&n>>2,i=o,e=r,h=a,n=_,o=i&i>>4^e&e>>4,r=i&e>>4^e&(i^e)>>4,a^=i&h>>4^e&n>>4,_^=e&h>>4^(i^e)&n>>4,i=o,e=r,h=a,n=_,a^=i&h>>8^e&n>>8,_^=e&h>>8^(i^e)&n>>8,i=a^a>>1,e=_^_>>1;let d=t^s,l=e|65535^(d|i);return d=16711935&(d|d<<8),d=252645135&(d|d<<4),d=858993459&(d|d<<2),d=1431655765&(d|d<<1),l=16711935&(l|l<<8),l=252645135&(l|l<<4),l=858993459&(l|l<<2),l=1431655765&(l|l<<1),(l<<1|d)>>>0}i.default=n},\n",
       "      function _(s,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});i.default=class{constructor(){this.ids=[],this.values=[],this.length=0}clear(){this.length=0}push(s,t){let i=this.length++;for(this.ids[i]=s,this.values[i]=t;i>0;){const s=i-1>>1,e=this.values[s];if(t>=e)break;this.ids[i]=this.ids[s],this.values[i]=e,i=s}this.ids[i]=s,this.values[i]=t}pop(){if(0===this.length)return;const s=this.ids[0];if(this.length--,this.length>0){const s=this.ids[0]=this.ids[this.length],t=this.values[0]=this.values[this.length],i=this.length>>1;let e=0;for(;e<i;){let s=1+(e<<1);const i=s+1;let h=this.ids[s],l=this.values[s];const n=this.values[i];if(i<this.length&&n<l&&(s=i,h=this.ids[i],l=n),l>=t)break;this.ids[e]=h,this.values[e]=l,e=s}this.ids[e]=s,this.values[e]=t}return s}peek(){return this.ids[0]}peekValue(){return this.values[0]}}},\n",
       "      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const{min:h,max:r}=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:h(t.x0,i.x0),x1:r(t.x1,i.x1),y0:h(t.y0,i.y0),y1:r(t.y1,i.y1)}};class s{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}}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 rect(){return{x0:this.x0,y0:this.y0,x1:this.x1,y1:this.y1}}get box(){return{x:this.x,y:this.y,width:this.width,height:this.height}}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}contains(t,i){return t>=this.x0&&t<=this.x1&&i>=this.y0&&i<=this.y1}clip(t,i){return t<this.x0?t=this.x0:t>this.x1&&(t=this.x1),i<this.y0?i=this.y0:i>this.y1&&(i=this.y1),[t,i]}union(t){return new s({x0:h(this.x0,t.x0),y0:h(this.y0,t.y0),x1:r(this.x1,t.x1),y1:r(this.y1,t.y1)})}equals(t){return this.x0==t.x0&&this.y0==t.y0&&this.x1==t.x1&&this.y1==t.y1}get xview(){return{compute:t=>this.left+t,v_compute:t=>{const i=new Float64Array(t.length),e=this.left;for(let h=0;h<t.length;h++)i[h]=e+t[h];return i}}}get yview(){return{compute:t=>this.bottom-t,v_compute:t=>{const i=new Float64Array(t.length),e=this.bottom;for(let h=0;h<t.length;h++)i[h]=e-t[h];return i}}}}e.BBox=s,s.__name__=\"BBox\"},\n",
       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=i.__importStar(t(87)),r=i.__importStar(t(19)),a=i.__importStar(t(85)),_=i.__importStar(t(30)),l=i.__importStar(t(68)),o=t(65),h=t(69),c=t(70),d=t(12),p=t(23),y=t(8),u=t(80),g=t(88);class m extends o.View{constructor(){super(...arguments),this._nohit_warned=new Set}get renderer(){return this.parent}get has_webgl(){return null!=this.glglyph}initialize(){super.initialize(),this.visuals=new l.Visuals(this.model)}async lazy_initialize(){await super.lazy_initialize();const{webgl:e}=this.renderer.plot_view.canvas_view;if(null!=e){let s=null;try{s=await Promise.resolve().then(()=>i.__importStar(t(358)))}catch(t){if(\"MODULE_NOT_FOUND\"!==t.code)throw t;c.logger.warn(\"WebGL was requested and is supported, but bokeh-gl(.min).js is not available, falling back to 2D rendering.\")}if(null!=s){const t=s[this.model.type+\"GLGlyph\"];null!=t&&(this.glglyph=new t(e.gl,this))}}}set_visuals(t){this.visuals.warm_cache(t),null!=this.glglyph&&this.glglyph.set_visuals_changed()}render(t,e,s){t.beginPath(),null!=this.glglyph&&this.glglyph.render(t,e,s)||this._render(t,e,s)}has_finished(){return!0}notify_finished(){this.renderer.notify_finished()}_bounds(t){return t}bounds(){return this._bounds(this.index.bbox)}log_bounds(){const t=a.empty(),e=this.index.search(a.positive_x());for(const s of e)s.x0<t.x0&&(t.x0=s.x0),s.x1>t.x1&&(t.x1=s.x1);const s=this.index.search(a.positive_y());for(const e of s)e.y0<t.y0&&(t.y0=e.y0),e.y1>t.y1&&(t.y1=e.y1);return this._bounds(t)}get_anchor_point(t,e,[s,i]){switch(t){case\"center\":return{x:this.scenterx(e,s,i),y:this.scentery(e,s,i)};default:return null}}sdist(t,e,s,i=\"edge\",n=!1){let r,a;const _=e.length;if(\"center\"==i){const t=d.map(s,t=>t/2);r=new Float64Array(_);for(let s=0;s<_;s++)r[s]=e[s]-t[s];a=new Float64Array(_);for(let s=0;s<_;s++)a[s]=e[s]+t[s]}else{r=e,a=new Float64Array(_);for(let t=0;t<_;t++)a[t]=r[t]+s[t]}const l=t.v_compute(r),o=t.v_compute(a);return n?d.map(l,(t,e)=>Math.ceil(Math.abs(o[e]-l[e]))):d.map(l,(t,e)=>Math.abs(o[e]-l[e]))}draw_legend_for_index(t,e,s){}hit_test(t){switch(t.type){case\"point\":if(null!=this._hit_point)return this._hit_point(t);break;case\"span\":if(null!=this._hit_span)return this._hit_span(t);break;case\"rect\":if(null!=this._hit_rect)return this._hit_rect(t);break;case\"poly\":if(null!=this._hit_poly)return this._hit_poly(t)}return this._nohit_warned.has(t.type)||(c.logger.debug(`'${t.type}' selection not available for ${this.model.type}`),this._nohit_warned.add(t.type)),null}_hit_rect_against_index(t){const{sx0:e,sx1:s,sy0:i,sy1:r}=t,[a,_]=this.renderer.xscale.r_invert(e,s),[l,o]=this.renderer.yscale.r_invert(i,r),h=n.create_empty_hit_test_result();return h.indices=this.index.indices({x0:a,x1:_,y0:l,y1:o}),h}set_data(t,e,s){let i=this.model.materialize_dataspecs(t);if(this.visuals.set_all_indices(e),e&&!(this instanceof u.LineView)){const t={};for(const s in i){const n=i[s];\"_\"===s.charAt(0)?t[s]=e.map(t=>n[t]):t[s]=n}i=t}const n=this;if(p.extend(n,i),this.renderer.plot_view.model.use_map&&(null!=n._x&&([n._x,n._y]=_.project_xy(n._x,n._y)),null!=n._xs&&([n._xs,n._ys]=_.project_xsys(n._xs,n._ys)),null!=n._x0&&([n._x0,n._y0]=_.project_xy(n._x0,n._y0)),null!=n._x1&&([n._x1,n._y1]=_.project_xy(n._x1,n._y1))),null!=this.renderer.plot_view.frame.x_ranges){const t=this.renderer.plot_view.frame.x_ranges[this.model.x_range_name],e=this.renderer.plot_view.frame.y_ranges[this.model.y_range_name];for(let[s,i]of this.model._coords)s=`_${s}`,i=`_${i}`,null!=n._xs?(t instanceof g.FactorRange&&(n[s]=d.map(n[s],e=>t.v_synthetic(e))),e instanceof g.FactorRange&&(n[i]=d.map(n[i],t=>e.v_synthetic(t)))):(t instanceof g.FactorRange&&(n[s]=t.v_synthetic(n[s])),e instanceof g.FactorRange&&(n[i]=e.v_synthetic(n[i])))}null!=this.glglyph&&this.glglyph.set_data_changed(n._x.length),this._set_data(s),this.index_data()}_set_data(t){}index_data(){this.index=this._index_data()}mask_data(t){return null!=this.glglyph||null==this._mask_data?t:this._mask_data()}map_data(){const t=this;for(let[e,s]of this.model._coords){const i=`s${e}`,n=`s${s}`;if(e=`_${e}`,s=`_${s}`,null!=t[e]&&(y.isArray(t[e][0])||y.isTypedArray(t[e][0]))){const r=t[e].length;t[i]=new Array(r),t[n]=new Array(r);for(let a=0;a<r;a++){const[r,_]=this.map_to_screen(t[e][a],t[s][a]);t[i][a]=r,t[n][a]=_}}else[t[i],t[n]]=this.map_to_screen(t[e],t[s])}this._map_data()}_map_data(){}map_to_screen(t,e){return this.renderer.plot_view.map_to_screen(t,e,this.model.x_range_name,this.model.y_range_name)}}s.GlyphView=m,m.__name__=\"GlyphView\";class x extends h.Model{constructor(t){super(t)}static init_Glyph(){this.prototype._coords=[],this.internal({x_range_name:[r.String,\"default\"],y_range_name:[r.String,\"default\"]})}static coords(t){const e=this.prototype._coords.concat(t);this.prototype._coords=e;const s={};for(const[e,i]of t)s[e]=[r.CoordinateSpec],s[i]=[r.CoordinateSpec];this.define(s)}}s.Glyph=x,x.__name__=\"Glyph\",x.init_Glyph()},\n",
       "      function _(t,n,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(9),r=t(76);function s(t){return t*t}function o(t,n){return s(t.x-n.x)+s(t.y-n.y)}function c(t,n,e){const i=o(n,e);if(0==i)return o(t,n);const r=((t.x-n.x)*(e.x-n.x)+(t.y-n.y)*(e.y-n.y))/i;return o(t,r<0?n:r>1?e:{x:n.x+r*(e.x-n.x),y:n.y+r*(e.y-n.y)})}e.point_in_poly=function(t,n,e,i){let r=!1,s=e[e.length-1],o=i[i.length-1];for(let c=0;c<e.length;c++){const u=e[c],_=i[c];o<n!=_<n&&s+(n-o)/(_-o)*(u-s)<t&&(r=!r),s=u,o=_}return r},e.point_in_ellipse=function(t,n,e,i,r,s,o){return((Math.cos(e)/r)**2+(Math.sin(e)/i)**2)*(t-s)**2+2*Math.cos(e)*Math.sin(e)*((1/r)**2-(1/i)**2)*(t-s)*(n-o)+((Math.cos(e)/i)**2+(Math.sin(e)/r)**2)*(n-o)**2<=1},e.create_empty_hit_test_result=function(){return new r.Selection},e.create_hit_test_result_from_hits=function(t){const n=new r.Selection;return n.indices=i.sort_by(t,([t,n])=>n).map(([t,n])=>t),n},e.dist_2_pts=o,e.dist_to_segment_squared=c,e.dist_to_segment=function(t,n,e){return Math.sqrt(c(t,n,e))},e.check_2_segments_intersect=function(t,n,e,i,r,s,o,c){const u=(c-s)*(e-t)-(o-r)*(i-n);if(0==u)return{hit:!1,x:null,y:null};{let _=n-s,l=t-r;const h=(e-t)*_-(i-n)*l;return _=((o-r)*_-(c-s)*l)/u,l=h/u,{hit:_>0&&_<1&&l>0&&l<1,x:t+_*(e-t),y:n+_*(i-n)}}}},\n",
       "      function _(t,n,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),s=t(89),r=i.__importStar(t(19)),a=t(12),o=t(9),p=t(8),h=t(11);function g(t,n,e=0){const i={};for(let s=0;s<t.length;s++){const r=t[s];if(r in i)throw new Error(`duplicate factor or subfactor: ${r}`);i[r]={value:.5+s*(1+n)+e}}return[i,(t.length-1)*n]}function c(t,n,e,i=0){const s={},r={},a=[];for(const[n,e]of t)n in r||(r[n]=[],a.push(n)),r[n].push(e);let p=i,h=0;for(const t of a){const i=r[t].length,[a,c]=g(r[t],e,p);h+=c;const u=o.sum(r[t].map(t=>a[t].value));s[t]={value:u/i,mapping:a},p+=i+n+c}return[s,a,(a.length-1)*n+h]}function u(t,n,e,i,s=0){const r={},a={},p=[];for(const[n,e,i]of t)n in a||(a[n]=[],p.push(n)),a[n].push([e,i]);const h=[];let g=s,u=0;for(const t of p){const s=a[t].length,[p,l,_]=c(a[t],e,i,g);for(const n of l)h.push([t,n]);u+=_;const d=o.sum(a[t].map(([t])=>p[t].value));r[t]={value:d/s,mapping:p},g+=s+n+_}return[r,p,h,(p.length-1)*n+u]}e.map_one_level=g,e.map_two_levels=c,e.map_three_levels=u;class l extends s.Range{constructor(t){super(t)}static init_FactorRange(){this.define({factors:[r.Array,[]],factor_padding:[r.Number,0],subgroup_padding:[r.Number,.8],group_padding:[r.Number,1.4],range_padding:[r.Number,0],range_padding_units:[r.PaddingUnits,\"percent\"],start:[r.Number],end:[r.Number]}),this.internal({levels:[r.Number],mids:[r.Array],tops:[r.Array],tops_groups:[r.Array]})}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){if(1==t.length){const n=this._mapping;return n.hasOwnProperty(t[0])?n[t[0]].value:NaN}if(2==t.length){const n=this._mapping;return n.hasOwnProperty(t[0])&&n[t[0]].mapping.hasOwnProperty(t[1])?n[t[0]].mapping[t[1]].value:NaN}if(3==t.length){const n=this._mapping;return n.hasOwnProperty(t[0])&&n[t[0]].mapping.hasOwnProperty(t[1])&&n[t[0]].mapping[t[1]].mapping.hasOwnProperty(t[2])?n[t[0]].mapping[t[1]].mapping[t[2]].value:NaN}h.unreachable()}synthetic(t){if(p.isNumber(t))return t;if(p.isString(t))return this._lookup([t]);let n=0;const e=t[t.length-1];return p.isNumber(e)&&(n=e,t=t.slice(0,-1)),this._lookup(t)+n}v_synthetic(t){return a.map(t,t=>this.synthetic(t))}_init(t){let n,e;if(o.every(this.factors,p.isString))n=1,[this._mapping,e]=g(this.factors,this.factor_padding);else if(o.every(this.factors,t=>p.isArray(t)&&2==t.length&&p.isString(t[0])&&p.isString(t[1])))n=2,[this._mapping,this.tops,e]=c(this.factors,this.group_padding,this.factor_padding);else{if(!o.every(this.factors,t=>p.isArray(t)&&3==t.length&&p.isString(t[0])&&p.isString(t[1])&&p.isString(t[2])))throw new Error(\"???\");n=3,[this._mapping,this.tops,this.mids,e]=u(this.factors,this.group_padding,this.subgroup_padding,this.factor_padding)}let i=0,s=this.factors.length+e;if(\"percent\"==this.range_padding_units){const t=(s-i)*this.range_padding/2;i-=t,s+=t}else i-=this.range_padding,s+=this.range_padding;this.setv({start:i,end:s,levels:n},{silent:t}),\"auto\"==this.bounds&&this.setv({bounds:[i,s]},{silent:!0})}}e.FactorRange=l,l.__name__=\"FactorRange\",l.init_FactorRange()},\n",
       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),a=e(69),r=i.__importStar(e(19));class s extends a.Model{constructor(e){super(e),this.have_updated_interactively=!1}static init_Range(){this.define({bounds:[r.Any],min_interval:[r.Any],max_interval:[r.Any]}),this.internal({plots:[r.Array,[]]})}get is_reversed(){return this.start>this.end}}n.Range=s,s.__name__=\"Range\",s.init_Range()},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1).__importStar(e(87));i.generic_line_legend=function(e,t,{x0:i,x1:n,y0:c,y1:o},r){t.save(),t.beginPath(),t.moveTo(i,(c+o)/2),t.lineTo(n,(c+o)/2),e.line.doit&&(e.line.set_vectorize(t,r),t.stroke()),t.restore()},i.generic_area_legend=function(e,t,{x0:i,x1:n,y0:c,y1:o},r){const l=.1*Math.abs(n-i),a=.1*Math.abs(o-c),s=i+l,_=n-l,h=c+a,v=o-a;e.fill.doit&&(e.fill.set_vectorize(t,r),t.fillRect(s,h,_-s,v-h)),null!=e.hatch&&e.hatch.doit&&(e.hatch.set_vectorize(t,r),t.fillRect(s,h,_-s,v-h)),e.line&&e.line.doit&&(t.beginPath(),t.rect(s,h,_-s,v-h),e.line.set_vectorize(t,r),t.stroke())},i.line_interpolation=function(e,t,i,c,o,r){const{sx:l,sy:a}=t;let s,_,h,v;\"point\"==t.type?([h,v]=e.yscale.r_invert(a-1,a+1),[s,_]=e.xscale.r_invert(l-1,l+1)):\"v\"==t.direction?([h,v]=e.yscale.r_invert(a,a),[s,_]=[Math.min(i-1,o-1),Math.max(i+1,o+1)]):([s,_]=e.xscale.r_invert(l,l),[h,v]=[Math.min(c-1,r-1),Math.max(c+1,r+1)]);const{x:x,y:y}=n.check_2_segments_intersect(s,h,_,v,i,c,o,r);return[x,y]}},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),l=e(81),_=e(90),n=s.__importStar(e(87));class a extends l.XYGlyphView{_inner_loop(e,t,i,s,l){for(const _ of t)0!=_?isNaN(i[_]+s[_])?(e.closePath(),l.apply(e),e.beginPath()):e.lineTo(i[_],s[_]):(e.beginPath(),e.moveTo(i[_],s[_]));e.closePath(),l.call(e)}_render(e,t,{sx:i,sy:s}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner_loop(e,t,i,s,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner_loop(e,t,i,s,e.fill),()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_value(e),this._inner_loop(e,t,i,s,e.stroke))}draw_legend_for_index(e,t,i){_.generic_area_legend(this.visuals,e,t,i)}_hit_point(e){const t=n.create_empty_hit_test_result();return n.point_in_poly(e.sx,e.sy,this.sx,this.sy)&&(t.add_to_selected_glyphs(this.model),t.get_view=()=>this),t}}i.PatchView=a,a.__name__=\"PatchView\";class o extends l.XYGlyph{constructor(e){super(e)}static init_Patch(){this.prototype.default_view=a,this.mixins([\"line\",\"fill\",\"hatch\"])}}i.Patch=o,o.__name__=\"Patch\",o.init_Patch()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(93),n=e(82),_=i.__importStar(e(87)),a=i.__importStar(e(19));class h extends r.AreaView{_index_data(){const e=[];for(let t=0,s=this._x1.length;t<s;t++){const s=this._x1[t],i=this._x2[t],r=this._y[t];!isNaN(s+i+r)&&isFinite(s+i+r)&&e.push({x0:Math.min(s,i),y0:r,x1:Math.max(s,i),y1:r,i:t})}return new n.SpatialIndex(e)}_inner(e,t,s,i,r){e.beginPath();for(let s=0,r=t.length;s<r;s++)e.lineTo(t[s],i[s]);for(let t=s.length-1;t>=0;t--)e.lineTo(s[t],i[t]);e.closePath(),r.call(e)}_render(e,t,{sx1:s,sx2:i,sy:r}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner(e,s,i,r,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner(e,s,i,r,e.fill),()=>this.renderer.request_render())}_hit_point(e){const t=_.create_empty_hit_test_result(),s=this.sy.length,i=new Float64Array(2*s),r=new Float64Array(2*s);for(let e=0,t=s;e<t;e++)i[e]=this.sx1[e],r[e]=this.sy[e],i[s+e]=this.sx2[s-e-1],r[s+e]=this.sy[s-e-1];return _.point_in_poly(e.sx,e.sy,i,r)&&(t.add_to_selected_glyphs(this.model),t.get_view=()=>this),t}scenterx(e){return(this.sx1[e]+this.sx2[e])/2}scentery(e){return this.sy[e]}_map_data(){this.sx1=this.renderer.xscale.v_compute(this._x1),this.sx2=this.renderer.xscale.v_compute(this._x2),this.sy=this.renderer.yscale.v_compute(this._y)}}s.HAreaView=h,h.__name__=\"HAreaView\";class l extends r.Area{constructor(e){super(e)}static init_HArea(){this.prototype.default_view=h,this.define({x1:[a.CoordinateSpec],x2:[a.CoordinateSpec],y:[a.CoordinateSpec]})}}s.HArea=l,l.__name__=\"HArea\",l.init_HArea()},\n",
       "      function _(e,i,_){Object.defineProperty(_,\"__esModule\",{value:!0});const a=e(86),n=e(90);class s extends a.GlyphView{draw_legend_for_index(e,i,_){n.generic_area_legend(this.visuals,e,i,_)}}_.AreaView=s,s.__name__=\"AreaView\";class r extends a.Glyph{constructor(e){super(e)}static init_Area(){this.mixins([\"fill\",\"hatch\"])}}_.Area=r,r.__name__=\"Area\",r.init_Area()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(93),n=e(82),_=i.__importStar(e(87)),a=i.__importStar(e(19));class h extends r.AreaView{_index_data(){const e=[];for(let t=0,s=this._x.length;t<s;t++){const s=this._x[t],i=this._y1[t],r=this._y2[t];!isNaN(s+i+r)&&isFinite(s+i+r)&&e.push({x0:s,y0:Math.min(i,r),x1:s,y1:Math.max(i,r),i:t})}return new n.SpatialIndex(e)}_inner(e,t,s,i,r){e.beginPath();for(let i=0,r=s.length;i<r;i++)e.lineTo(t[i],s[i]);for(let s=i.length-1;s>=0;s--)e.lineTo(t[s],i[s]);e.closePath(),r.call(e)}_render(e,t,{sx:s,sy1:i,sy2:r}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner(e,s,i,r,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner(e,s,i,r,e.fill),()=>this.renderer.request_render())}scenterx(e){return this.sx[e]}scentery(e){return(this.sy1[e]+this.sy2[e])/2}_hit_point(e){const t=_.create_empty_hit_test_result(),s=this.sx.length,i=new Float64Array(2*s),r=new Float64Array(2*s);for(let e=0,t=s;e<t;e++)i[e]=this.sx[e],r[e]=this.sy1[e],i[s+e]=this.sx[s-e-1],r[s+e]=this.sy2[s-e-1];return _.point_in_poly(e.sx,e.sy,i,r)&&(t.add_to_selected_glyphs(this.model),t.get_view=()=>this),t}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sy1=this.renderer.yscale.v_compute(this._y1),this.sy2=this.renderer.yscale.v_compute(this._y2)}}s.VAreaView=h,h.__name__=\"VAreaView\";class l extends r.Area{constructor(e){super(e)}static init_VArea(){this.prototype.default_view=h,this.define({x:[a.CoordinateSpec],y1:[a.CoordinateSpec],y2:[a.CoordinateSpec]})}}s.VArea=l,l.__name__=\"VArea\",l.init_VArea()},\n",
       "      function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),n=i(69),c=t.__importStar(i(19)),o=i(76),r=i(9),_=i(74);class h extends n.Model{constructor(i){super(i)}static init_CDSView(){this.define({filters:[c.Array,[]],source:[c.Instance]}),this.internal({indices:[c.Array,[]],indices_map:[c.Any,{}]})}initialize(){super.initialize(),this.compute_indices()}connect_signals(){super.connect_signals(),this.connect(this.properties.filters.change,()=>{this.compute_indices(),this.change.emit()});const i=()=>{const i=()=>this.compute_indices();null!=this.source&&(this.connect(this.source.change,i),this.source instanceof _.ColumnarDataSource&&(this.connect(this.source.streaming,i),this.connect(this.source.patching,i)))};let e=null!=this.source;e?i():this.connect(this.properties.source.change,()=>{e||(i(),e=!0)})}compute_indices(){const i=this.filters.map(i=>i.compute_indices(this.source)).filter(i=>null!=i);i.length>0?this.indices=r.intersection.apply(this,i):this.source instanceof _.ColumnarDataSource&&(this.indices=this.source.get_indices()),this.indices_map_to_subset()}indices_map_to_subset(){this.indices_map={};for(let i=0;i<this.indices.length;i++)this.indices_map[this.indices[i]]=i}convert_selection_from_subset(i){const e=new o.Selection;e.update_through_union(i);const s=i.indices.map(i=>this.indices[i]);return e.indices=s,e.image_indices=i.image_indices,e}convert_selection_to_subset(i){const e=new o.Selection;e.update_through_union(i);const s=i.indices.map(i=>this.indices_map[i]);return e.indices=s,e.image_indices=i.image_indices,e}convert_indices_from_subset(i){return i.map(i=>this.indices[i])}}s.CDSView=h,h.__name__=\"CDSView\",h.init_CDSView()},\n",
       "      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(9);async function o(e,n,t){const i=new e(Object.assign(Object.assign({},t),{model:n}));return i.initialize(),await i.lazy_initialize(),i}t.build_view=async function(e,n={parent:null},t=(e=>e.default_view)){const i=await o(t(e),e,n);return i.connect_signals(),i},t.build_views=async function(e,n,t={parent:null},c=(e=>e.default_view)){const s=i.difference(Object.keys(e),n.map(e=>e.id));for(const n of s)e[n].remove(),delete e[n];const a=[],l=n.filter(n=>null==e[n.id]);for(const n of l){const i=await o(c(n),n,t);e[n.id]=i,a.push(i)}for(const e of a)e.connect_signals();return a},t.remove_views=function(e){for(const n in e)e[n].remove(),delete e[n]}},\n",
       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(1),r=e(79),a=e(98),i=s.__importStar(e(19)),d=e(96);class _ extends r.DataRendererView{initialize(){super.initialize(),this.xscale=this.plot_view.frame.xscales.default,this.yscale=this.plot_view.frame.yscales.default,this._renderer_views={}}async lazy_initialize(){[this.node_view,this.edge_view]=await d.build_views(this._renderer_views,[this.model.node_renderer,this.model.edge_renderer],{parent:this.parent}),this.set_data()}connect_signals(){super.connect_signals(),this.connect(this.model.layout_provider.change,()=>this.set_data()),this.connect(this.model.node_renderer.data_source._select,()=>this.set_data()),this.connect(this.model.node_renderer.data_source.inspect,()=>this.set_data()),this.connect(this.model.node_renderer.data_source.change,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source._select,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source.inspect,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source.change,()=>this.set_data());const{x_ranges:e,y_ranges:t}=this.plot_view.frame;for(const t in e){const n=e[t];this.connect(n.change,()=>this.set_data())}for(const e in t){const n=t[e];this.connect(n.change,()=>this.set_data())}}set_data(e=!0){this.node_view.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0}),this.edge_view.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0});const t=this.node_view.glyph;[t._x,t._y]=this.model.layout_provider.get_node_coordinates(this.model.node_renderer.data_source);const n=this.edge_view.glyph;[n._xs,n._ys]=this.model.layout_provider.get_edge_coordinates(this.model.edge_renderer.data_source),t.index_data(),n.index_data(),e&&this.request_render()}render(){this.edge_view.render(),this.node_view.render()}}n.GraphRendererView=_,_.__name__=\"GraphRendererView\";class o extends r.DataRenderer{constructor(e){super(e)}static init_GraphRenderer(){this.prototype.default_view=_,this.define({layout_provider:[i.Instance],node_renderer:[i.Instance],edge_renderer:[i.Instance],selection_policy:[i.Instance,()=>new a.NodesOnly],inspection_policy:[i.Instance,()=>new a.NodesOnly]})}get_selection_manager(){return this.node_renderer.data_source.selection_manager}}n.GraphRenderer=o,o.__name__=\"GraphRenderer\",o.init_GraphRenderer()},\n",
       "      function _(e,t,d){Object.defineProperty(d,\"__esModule\",{value:!0});const n=e(69),s=e(12),o=e(9),_=e(87);class i extends n.Model{constructor(e){super(e)}_hit_test_nodes(e,t){if(!t.model.visible)return null;const d=t.node_view.glyph.hit_test(e);return null==d?null:t.node_view.model.view.convert_selection_from_subset(d)}_hit_test_edges(e,t){if(!t.model.visible)return null;const d=t.edge_view.glyph.hit_test(e);return null==d?null:t.edge_view.model.view.convert_selection_from_subset(d)}}d.GraphHitTestPolicy=i,i.__name__=\"GraphHitTestPolicy\";class r extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_nodes(e,t)}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 o=d.model.get_selection_manager().get_or_create_inspector(d.node_view.model);return o.update(e,n,s),d.node_view.model.data_source.setv({inspected:o},{silent:!0}),d.node_view.model.data_source.inspect.emit([d.node_view,{geometry:t}]),!o.is_empty()}}d.NodesOnly=r,r.__name__=\"NodesOnly\";class c extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_nodes(e,t)}get_linked_edges(e,t,d){let n=[];\"selection\"==d?n=e.selected.indices.map(t=>e.data.index[t]):\"inspection\"==d&&(n=e.inspected.indices.map(t=>e.data.index[t]));const s=[];for(let e=0;e<t.data.start.length;e++)(o.contains(n,t.data.start[e])||o.contains(n,t.data.end[e]))&&s.push(e);const i=_.create_empty_hit_test_result();for(const e of s)i.multiline_indices[e]=[0];return i.indices=s,i}do_selection(e,t,d,n){if(null==e)return!1;const s=t.node_renderer.data_source.selected;s.update(e,d,n);const o=t.edge_renderer.data_source.selected,_=this.get_linked_edges(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(_,d,n),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,d,n,s){if(null==e)return!1;const o=d.node_view.model.data_source.selection_manager.get_or_create_inspector(d.node_view.model);o.update(e,n,s),d.node_view.model.data_source.setv({inspected:o},{silent:!0});const _=d.edge_view.model.data_source.selection_manager.get_or_create_inspector(d.edge_view.model),i=this.get_linked_edges(d.node_view.model.data_source,d.edge_view.model.data_source,\"inspection\");return _.update(i,n,s),d.edge_view.model.data_source.setv({inspected:_},{silent:!0}),d.node_view.model.data_source.inspect.emit([d.node_view,{geometry:t}]),!o.is_empty()}}d.NodesAndLinkedEdges=c,c.__name__=\"NodesAndLinkedEdges\";class a extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_edges(e,t)}get_linked_nodes(e,t,d){let n=[];\"selection\"==d?n=t.selected.indices:\"inspection\"==d&&(n=t.inspected.indices);const i=[];for(const e of n)i.push(t.data.start[e]),i.push(t.data.end[e]);const r=o.uniq(i).map(t=>s.indexOf(e.data.index,t)),c=_.create_empty_hit_test_result();return c.indices=r,c}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,_=this.get_linked_nodes(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(_,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 _=d.node_view.model.data_source.selection_manager.get_or_create_inspector(d.node_view.model),i=this.get_linked_nodes(d.node_view.model.data_source,d.edge_view.model.data_source,\"inspection\");return _.update(i,n,s),d.node_view.model.data_source.setv({inspected:_},{silent:!0}),d.edge_view.model.data_source.inspect.emit([d.edge_view,{geometry:t}]),!o.is_empty()}}d.EdgesAndLinkedNodes=a,a.__name__=\"EdgesAndLinkedNodes\"},\n",
       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(69);class o extends s.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=o,o.__name__=\"SelectionPolicy\";class r extends o{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=r,r.__name__=\"IntersectRenderers\";class c extends o{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=c,c.__name__=\"UnionRenderers\"},\n",
       "      function _(r,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const e=r(8),a=r(101);function o(r){const n=new Uint8Array(r.buffer,r.byteOffset,2*r.length);for(let r=0,t=n.length;r<t;r+=2){const t=n[r];n[r]=n[r+1],n[r+1]=t}}function i(r){const n=new Uint8Array(r.buffer,r.byteOffset,4*r.length);for(let r=0,t=n.length;r<t;r+=4){let t=n[r];n[r]=n[r+3],n[r+3]=t,t=n[r+1],n[r+1]=n[r+2],n[r+2]=t}}function s(r){const n=new Uint8Array(r.buffer,r.byteOffset,8*r.length);for(let r=0,t=n.length;r<t;r+=8){let t=n[r];n[r]=n[r+7],n[r+7]=t,t=n[r+1],n[r+1]=n[r+6],n[r+6]=t,t=n[r+2],n[r+2]=n[r+5],n[r+5]=t,t=n[r+3],n[r+3]=n[r+4],n[r+4]=t}}function c(r,n){const e=r.order!==t.BYTE_ORDER,{shape:a}=r;let c=null;for(const t of n){if(JSON.parse(t[0]).id===r.__buffer__){c=t[1];break}}const f=new t.ARRAY_TYPES[r.dtype](c);return e&&(2===f.BYTES_PER_ELEMENT?o(f):4===f.BYTES_PER_ELEMENT?i(f):8===f.BYTES_PER_ELEMENT&&s(f)),[f,a]}function f(r,n){return e.isObject(r)&&\"__ndarray__\"in r?A(r):e.isObject(r)&&\"__buffer__\"in r?c(r,n):e.isArray(r)||e.isTypedArray(r)?[r,[]]:void 0}function u(r){const n=new Uint8Array(r),t=Array.from(n).map(r=>String.fromCharCode(r));return btoa(t.join(\"\"))}function y(r){const n=atob(r),t=n.length,e=new Uint8Array(t);for(let r=0,a=t;r<a;r++)e[r]=n.charCodeAt(r);return e.buffer}function A(r){const n=y(r.__ndarray__),e=r.dtype,a=r.shape;let o;if(!(e in t.ARRAY_TYPES))throw new Error(`unknown dtype: ${e}`);return o=new t.ARRAY_TYPES[e](n),[o,a]}function l(r,n){const e=u(r.buffer),a=function(r){if(\"name\"in r.constructor)return r.constructor.name;switch(!0){case r instanceof Uint8Array:return\"Uint8Array\";case r instanceof Int8Array:return\"Int8Array\";case r instanceof Uint16Array:return\"Uint16Array\";case r instanceof Int16Array:return\"Int16Array\";case r instanceof Uint32Array:return\"Uint32Array\";case r instanceof Int32Array:return\"Int32Array\";case r instanceof Float32Array:return\"Float32Array\";case r instanceof Float64Array:return\"Float64Array\";default:throw new Error(\"unsupported typed array\")}}(r);let o;if(!(a in t.DTYPES))throw new Error(`unknown array type: ${a}`);return o=t.DTYPES[a],{__ndarray__:e,shape:n,dtype:o}}function _(r,n){if(0==r.length||!e.isObject(r[0])&&!e.isArray(r[0]))return[r,[]];const t=[],a=[];for(const o of r){const[r,i]=e.isArray(o)?_(o,n):f(o,n);t.push(r),a.push(i)}return[t,a.map(r=>r.filter(r=>0!=r.length))]}function d(r,n){const t=[];for(let a=0,o=r.length;a<o;a++){const o=r[a];if(e.isTypedArray(o)){const r=n[a]?n[a]:void 0;t.push(l(o,r))}else e.isArray(o)?t.push(d(o,n?n[a]:[])):t.push(o)}return t}t.ARRAY_TYPES={uint8:Uint8Array,int8:Int8Array,uint16:Uint16Array,int16:Int16Array,uint32:Uint32Array,int32:Int32Array,float32:Float32Array,float64:Float64Array},t.DTYPES={Uint8Array:\"uint8\",Int8Array:\"int8\",Uint16Array:\"uint16\",Int16Array:\"int16\",Uint32Array:\"uint32\",Int32Array:\"int32\",Float32Array:\"float32\",Float64Array:\"float64\"},t.BYTE_ORDER=a.is_little_endian?\"little\":\"big\",t.swap16=o,t.swap32=i,t.swap64=s,t.process_buffer=c,t.process_array=f,t.arrayBufferToBase64=u,t.base64ToArrayBuffer=y,t.decode_base64=A,t.encode_base64=l,t.decode_column_data=function(r,n=[]){const t={},a={};for(const o in r){const i=r[o];if(e.isArray(i)){if(0==i.length||!e.isObject(i[0])&&!e.isArray(i[0])){t[o]=i;continue}const[r,s]=_(i,n);t[o]=r,a[o]=s}else{const[r,e]=f(i,n);t[o]=r,a[o]=e}}return[t,a]},t.encode_column_data=function(r,n){const t={};for(const a in r){const o=r[a],i=null!=n?n[a]:void 0;let s;s=e.isTypedArray(o)?l(o,i):e.isArray(o)?d(o,i||[]):o,t[a]=s}return t}},\n",
       "      function _(e,n,i){Object.defineProperty(i,\"__esModule\",{value:!0}),i.is_ie=(()=>{const e=\"undefined\"!=typeof navigator?navigator.userAgent:\"\";return e.indexOf(\"MSIE\")>=0||e.indexOf(\"Trident\")>0||e.indexOf(\"Edge\")>0})(),i.is_mobile=\"undefined\"!=typeof window&&(\"ontouchstart\"in window||navigator.maxTouchPoints>0),i.is_little_endian=(()=>{const e=new ArrayBuffer(4),n=new Uint8Array(e);new Uint32Array(e)[1]=168496141;let i=!0;return 10==n[4]&&11==n[5]&&12==n[6]&&13==n[7]&&(i=!1),i})()},\n",
       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.concat=function(t,...e){let n=t.length;for(const t of e)n+=t.length;const o=new t.constructor(n);o.set(t,0);let c=t.length;for(const t of e)o.set(t,c),c+=t.length;return o}},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(13);class o{constructor(e){this.document=e}}s.DocumentChangedEvent=o,o.__name__=\"DocumentChangedEvent\";class r extends o{constructor(e,t,s){super(e),this.msg_type=t,this.msg_data=s}json(e){const t=this.msg_data,s=n.HasProps._value_to_json(\"\",t,null);return n.HasProps._value_record_references(t,{},!0),{kind:\"MessageSent\",msg_type:this.msg_type,msg_data:s}}}s.MessageSentEvent=r,r.__name__=\"MessageSentEvent\";class d extends o{constructor(e,t,s,n,o,r,d){super(e),this.model=t,this.attr=s,this.old=n,this.new_=o,this.setter_id=r,this.hint=d}json(e){if(\"id\"===this.attr)throw new Error(\"'id' field should never change, whatever code just set it is wrong\");if(null!=this.hint)return this.hint.json(e);const t=this.new_,s=n.HasProps._value_to_json(this.attr,t,this.model),o={};n.HasProps._value_record_references(t,o,!0),this.model.id in o&&this.model!==t&&delete o[this.model.id];for(const t in o)e[t]=o[t];return{kind:\"ModelChanged\",model:this.model.ref(),attr:this.attr,new:s}}}s.ModelChangedEvent=d,d.__name__=\"ModelChangedEvent\";class i extends o{constructor(e,t,s){super(e),this.column_source=t,this.patches=s}json(e){return{kind:\"ColumnsPatched\",column_source:this.column_source,patches:this.patches}}}s.ColumnsPatchedEvent=i,i.__name__=\"ColumnsPatchedEvent\";class _ extends o{constructor(e,t,s,n){super(e),this.column_source=t,this.data=s,this.rollover=n}json(e){return{kind:\"ColumnsStreamed\",column_source:this.column_source,data:this.data,rollover:this.rollover}}}s.ColumnsStreamedEvent=_,_.__name__=\"ColumnsStreamedEvent\";class a extends o{constructor(e,t,s){super(e),this.title=t,this.setter_id=s}json(e){return{kind:\"TitleChanged\",title:this.title}}}s.TitleChangedEvent=a,a.__name__=\"TitleChangedEvent\";class l extends o{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}json(e){return n.HasProps._value_record_references(this.model,e,!0),{kind:\"RootAdded\",model:this.model.ref()}}}s.RootAddedEvent=l,l.__name__=\"RootAddedEvent\";class h extends o{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}json(e){return{kind:\"RootRemoved\",model:this.model.ref()}}}s.RootRemovedEvent=h,h.__name__=\"RootRemovedEvent\"},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),_=e(29),o=e(73),l=i.__importStar(e(19));class a extends _.AnnotationView{initialize(){super.initialize(),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source)),this.connect(this.model.source.change,()=>this.set_data(this.model.source))}set_data(e){super.set_data(e),this.visuals.warm_cache(e),this.plot_view.request_render()}_map_data(){const{frame:e}=this.plot_view,t=this.model.dimension,s=e.xscales[this.model.x_range_name],i=e.yscales[this.model.y_range_name],_=\"height\"==t?i:s,o=\"height\"==t?s:i,l=\"height\"==t?e.yview:e.xview,a=\"height\"==t?e.xview:e.yview;let n,h,r;n=\"data\"==this.model.properties.lower.units?_.v_compute(this._lower):l.v_compute(this._lower),h=\"data\"==this.model.properties.upper.units?_.v_compute(this._upper):l.v_compute(this._upper),r=\"data\"==this.model.properties.base.units?o.v_compute(this._base):a.v_compute(this._base);const[c,p]=\"height\"==t?[1,0]:[0,1],u=[n,r],d=[h,r];this._lower_sx=u[c],this._lower_sy=u[p],this._upper_sx=d[c],this._upper_sy=d[p]}render(){if(!this.model.visible)return;this._map_data();const{ctx:e}=this.plot_view.canvas_view;e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let t=0,s=this._lower_sx.length;t<s;t++)e.lineTo(this._lower_sx[t],this._lower_sy[t]);for(let t=this._upper_sx.length-1;t>=0;t--)e.lineTo(this._upper_sx[t],this._upper_sy[t]);e.closePath(),this.visuals.fill.doit&&(this.visuals.fill.set_value(e),e.fill()),e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let t=0,s=this._lower_sx.length;t<s;t++)e.lineTo(this._lower_sx[t],this._lower_sy[t]);this.visuals.line.doit&&(this.visuals.line.set_value(e),e.stroke()),e.beginPath(),e.moveTo(this._upper_sx[0],this._upper_sy[0]);for(let t=0,s=this._upper_sx.length;t<s;t++)e.lineTo(this._upper_sx[t],this._upper_sy[t]);this.visuals.line.doit&&(this.visuals.line.set_value(e),e.stroke())}}s.BandView=a,a.__name__=\"BandView\";class n extends _.Annotation{constructor(e){super(e)}static init_Band(){this.prototype.default_view=a,this.mixins([\"line\",\"fill\"]),this.define({lower:[l.DistanceSpec],upper:[l.DistanceSpec],base:[l.DistanceSpec],dimension:[l.Dimension,\"height\"],source:[l.Instance,()=>new o.ColumnDataSource],x_range_name:[l.String,\"default\"],y_range_name:[l.String,\"default\"]}),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}}s.Band=n,n.__name__=\"Band\",n.init_Band()},\n",
       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),l=t(29),o=t(14),n=t(66),a=s.__importStar(t(19)),h=t(85),r=t(106);i.EDGE_TOLERANCE=2.5;class d extends l.AnnotationView{initialize(){super.initialize(),this.plot_view.canvas_view.add_overlay(this.el),this.el.classList.add(r.bk_shading),n.undisplay(this.el)}connect_signals(){super.connect_signals(),\"css\"==this.model.render_mode?(this.connect(this.model.change,()=>this.render()),this.connect(this.model.data_update,()=>this.render())):(this.connect(this.model.change,()=>this.plot_view.request_render()),this.connect(this.model.data_update,()=>this.plot_view.request_render()))}render(){if(this.model.visible||\"css\"!=this.model.render_mode||n.undisplay(this.el),!this.model.visible)return;if(null==this.model.left&&null==this.model.right&&null==this.model.top&&null==this.model.bottom)return void n.undisplay(this.el);const{frame:t}=this.plot_view,e=t.xscales[this.model.x_range_name],i=t.yscales[this.model.y_range_name],s=(t,e,i,s,l)=>{let o;return o=null!=t?this.model.screen?t:\"data\"==e?i.compute(t):s.compute(t):l,o};this.sleft=s(this.model.left,this.model.left_units,e,t.xview,t._left.value),this.sright=s(this.model.right,this.model.right_units,e,t.xview,t._right.value),this.stop=s(this.model.top,this.model.top_units,i,t.yview,t._top.value),this.sbottom=s(this.model.bottom,this.model.bottom_units,i,t.yview,t._bottom.value),(\"css\"==this.model.render_mode?this._css_box.bind(this):this._canvas_box.bind(this))(this.sleft,this.sright,this.sbottom,this.stop)}_css_box(t,e,i,s){const l=this.model.properties.line_width.value(),o=Math.floor(e-t)-l,a=Math.floor(i-s)-l;this.el.style.left=`${t}px`,this.el.style.width=`${o}px`,this.el.style.top=`${s}px`,this.el.style.height=`${a}px`,this.el.style.borderWidth=`${l}px`,this.el.style.borderColor=this.model.properties.line_color.value(),this.el.style.backgroundColor=this.model.properties.fill_color.value(),this.el.style.opacity=this.model.properties.fill_alpha.value();const h=this.model.properties.line_dash.value().length<2?\"solid\":\"dashed\";this.el.style.borderStyle=h,n.display(this.el)}_canvas_box(t,e,i,s){const{ctx:l}=this.plot_view.canvas_view;l.save(),l.beginPath(),l.rect(t,s,e-t,i-s),this.visuals.fill.set_value(l),l.fill(),this.visuals.line.set_value(l),l.stroke(),l.restore()}interactive_bbox(){const t=this.model.properties.line_width.value()+i.EDGE_TOLERANCE;return new h.BBox({x0:this.sleft-t,y0:this.stop-t,x1:this.sright+t,y1:this.sbottom+t})}interactive_hit(t,e){if(null==this.model.in_cursor)return!1;return this.interactive_bbox().contains(t,e)}cursor(t,e){return Math.abs(t-this.sleft)<3||Math.abs(t-this.sright)<3?this.model.ew_cursor:Math.abs(e-this.sbottom)<3||Math.abs(e-this.stop)<3?this.model.ns_cursor:t>this.sleft&&t<this.sright&&e>this.stop&&e<this.sbottom?this.model.in_cursor:null}}i.BoxAnnotationView=d,d.__name__=\"BoxAnnotationView\";class _ extends l.Annotation{constructor(t){super(t)}static init_BoxAnnotation(){this.prototype.default_view=d,this.mixins([\"line\",\"fill\"]),this.define({render_mode:[a.RenderMode,\"canvas\"],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"],top:[a.Number,null],top_units:[a.SpatialUnits,\"data\"],bottom:[a.Number,null],bottom_units:[a.SpatialUnits,\"data\"],left:[a.Number,null],left_units:[a.SpatialUnits,\"data\"],right:[a.Number,null],right_units:[a.SpatialUnits,\"data\"]}),this.internal({screen:[a.Boolean,!1],ew_cursor:[a.String,null],ns_cursor:[a.String,null],in_cursor:[a.String,null]}),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}initialize(){super.initialize(),this.data_update=new o.Signal0(this,\"data_update\")}update({left:t,right:e,top:i,bottom:s}){this.setv({left:t,right:e,top:i,bottom:s,screen:!0},{silent:!0}),this.data_update.emit()}}i.BoxAnnotation=_,_.__name__=\"BoxAnnotation\",_.init_BoxAnnotation()},\n",
       "      function _(n,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const a=n(1);n(67),a.__importStar(n(66)).styles.append(\".bk-root .bk-shading {\\n  position: absolute;\\n  display: block;\\n  border: 1px dashed green;\\n}\\n\"),t.bk_annotation=\"bk-annotation\",t.bk_shading=\"bk-shading\",t.bk_annotation_child=\"bk-annotation-child\"},\n",
       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=t(1),s=t(29),a=t(108),l=t(112),r=t(114),n=t(119),_=t(129),h=t(130),m=o.__importStar(t(19)),d=o.__importStar(t(131)),c=t(9),u=t(12),p=t(23),g=t(8),f=t(11);class b extends s.AnnotationView{initialize(){super.initialize(),this._set_canvas_image()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.visible.change,()=>this.plot_view.request_render()),this.connect(this.model.ticker.change,()=>this.plot_view.request_render()),this.connect(this.model.formatter.change,()=>this.plot_view.request_render()),null!=this.model.color_mapper&&this.connect(this.model.color_mapper.change,()=>{this._set_canvas_image(),this.plot_view.request_render()})}_get_size(){if(null==this.model.color_mapper)return{width:0,height:0};{const{width:t,height:e}=this.compute_legend_dimensions();return{width:t,height:e}}}_set_canvas_image(){if(null==this.model.color_mapper)return;let t,e,{palette:i}=this.model.color_mapper;switch(\"vertical\"==this.model.orientation&&(i=c.reversed(i)),this.model.orientation){case\"vertical\":[t,e]=[1,i.length];break;case\"horizontal\":[t,e]=[i.length,1]}const o=document.createElement(\"canvas\");o.width=t,o.height=e;const s=o.getContext(\"2d\"),a=s.getImageData(0,0,t,e),l=new r.LinearColorMapper({palette:i}).rgba_mapper.v_compute(c.range(0,i.length));a.data.set(l),s.putImageData(a,0,0),this.image=o}compute_legend_dimensions(){const t=this._computed_image_dimensions(),[e,i]=[t.height,t.width],o=this._get_label_extent(),s=this._title_extent(),a=this._tick_extent(),{padding:l}=this.model;let r,n;switch(this.model.orientation){case\"vertical\":r=e+s+2*l,n=i+a+o+2*l;break;case\"horizontal\":r=e+s+a+o+2*l,n=i+2*l}return{width:n,height:r}}compute_legend_location(){const t=this.compute_legend_dimensions(),[e,i]=[t.height,t.width],o=this.model.margin,s=null!=this.panel?this.panel:this.plot_view.frame,[a,l]=s.bbox.ranges,{location:r}=this.model;let n,_;if(g.isString(r))switch(r){case\"top_left\":n=a.start+o,_=l.start+o;break;case\"top_center\":n=(a.end+a.start)/2-i/2,_=l.start+o;break;case\"top_right\":n=a.end-o-i,_=l.start+o;break;case\"bottom_right\":n=a.end-o-i,_=l.end-o-e;break;case\"bottom_center\":n=(a.end+a.start)/2-i/2,_=l.end-o-e;break;case\"bottom_left\":n=a.start+o,_=l.end-o-e;break;case\"center_left\":n=a.start+o,_=(l.end+l.start)/2-e/2;break;case\"center\":n=(a.end+a.start)/2-i/2,_=(l.end+l.start)/2-e/2;break;case\"center_right\":n=a.end-o-i,_=(l.end+l.start)/2-e/2}else if(g.isArray(r)&&2==r.length){const[t,i]=r;n=s.xview.compute(t),_=s.yview.compute(i)-e}else f.unreachable();return{sx:n,sy:_}}render(){if(!this.model.visible||null==this.model.color_mapper)return;const{ctx:t}=this.plot_view.canvas_view;t.save();const{sx:e,sy:i}=this.compute_legend_location();t.translate(e,i),this._draw_bbox(t);const o=this._get_image_offset();if(t.translate(o.x,o.y),this._draw_image(t),null!=this.model.color_mapper.low&&null!=this.model.color_mapper.high){const e=this.tick_info();this._draw_major_ticks(t,e),this._draw_minor_ticks(t,e),this._draw_major_labels(t,e)}this.model.title&&this._draw_title(t),t.restore()}_draw_bbox(t){const e=this.compute_legend_dimensions();t.save(),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(0,0,e.width,e.height)),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.strokeRect(0,0,e.width,e.height)),t.restore()}_draw_image(t){const e=this._computed_image_dimensions();t.save(),t.setImageSmoothingEnabled(!1),t.globalAlpha=this.model.scale_alpha,t.drawImage(this.image,0,0,e.width,e.height),this.visuals.bar_line.doit&&(this.visuals.bar_line.set_value(t),t.strokeRect(0,0,e.width,e.height)),t.restore()}_draw_major_ticks(t,e){if(!this.visuals.major_tick_line.doit)return;const[i,o]=this._normals(),s=this._computed_image_dimensions(),[a,l]=[s.width*i,s.height*o],[r,n]=e.coords.major,_=this.model.major_tick_in,h=this.model.major_tick_out;t.save(),t.translate(a,l),this.visuals.major_tick_line.set_value(t);for(let e=0,s=r.length;e<s;e++)t.beginPath(),t.moveTo(Math.round(r[e]+i*h),Math.round(n[e]+o*h)),t.lineTo(Math.round(r[e]-i*_),Math.round(n[e]-o*_)),t.stroke();t.restore()}_draw_minor_ticks(t,e){if(!this.visuals.minor_tick_line.doit)return;const[i,o]=this._normals(),s=this._computed_image_dimensions(),[a,l]=[s.width*i,s.height*o],[r,n]=e.coords.minor,_=this.model.minor_tick_in,h=this.model.minor_tick_out;t.save(),t.translate(a,l),this.visuals.minor_tick_line.set_value(t);for(let e=0,s=r.length;e<s;e++)t.beginPath(),t.moveTo(Math.round(r[e]+i*h),Math.round(n[e]+o*h)),t.lineTo(Math.round(r[e]-i*_),Math.round(n[e]-o*_)),t.stroke();t.restore()}_draw_major_labels(t,e){if(!this.visuals.major_label_text.doit)return;const[i,o]=this._normals(),s=this._computed_image_dimensions(),[a,l]=[s.width*i,s.height*o],r=this.model.label_standoff+this._tick_extent(),[n,_]=[r*i,r*o],[h,m]=e.coords.major,d=e.labels.major;this.visuals.major_label_text.set_value(t),t.save(),t.translate(a+n,l+_);for(let e=0,s=h.length;e<s;e++)t.fillText(d[e],Math.round(h[e]+i*this.model.label_standoff),Math.round(m[e]+o*this.model.label_standoff));t.restore()}_draw_title(t){this.visuals.title_text.doit&&(t.save(),this.visuals.title_text.set_value(t),t.fillText(this.model.title,0,-this.model.title_standoff),t.restore())}_get_label_extent(){const t=this.tick_info().labels.major;let e;if(null==this.model.color_mapper.low||null==this.model.color_mapper.high||p.isEmpty(t))e=0;else{const{ctx:i}=this.plot_view.canvas_view;switch(i.save(),this.visuals.major_label_text.set_value(i),this.model.orientation){case\"vertical\":e=c.max(t.map(t=>i.measureText(t.toString()).width));break;case\"horizontal\":e=d.measure_font(this.visuals.major_label_text.font_value()).height}e+=this.model.label_standoff,i.restore()}return e}_get_image_offset(){return{x:this.model.padding,y:this.model.padding+this._title_extent()}}_normals(){return\"vertical\"==this.model.orientation?[1,0]:[0,1]}_title_extent(){const t=this.model.title_text_font+\" \"+this.model.title_text_font_size+\" \"+this.model.title_text_font_style;return this.model.title?d.measure_font(t).height+this.model.title_standoff:0}_tick_extent(){return null!=this.model.color_mapper.low&&null!=this.model.color_mapper.high?c.max([this.model.major_tick_out,this.model.minor_tick_out]):0}_computed_image_dimensions(){const t=this.plot_view.frame._height.value,e=this.plot_view.frame._width.value,i=this._title_extent();let o,s;switch(this.model.orientation){case\"vertical\":\"auto\"==this.model.height?null!=this.panel?o=t-2*this.model.padding-i:(o=c.max([25*this.model.color_mapper.palette.length,.3*t]),o=c.min([o,.8*t-2*this.model.padding-i])):o=this.model.height,s=\"auto\"==this.model.width?25:this.model.width;break;case\"horizontal\":o=\"auto\"==this.model.height?25:this.model.height,\"auto\"==this.model.width?null!=this.panel?s=e-2*this.model.padding:(s=c.max([25*this.model.color_mapper.palette.length,.3*e]),s=c.min([s,.8*e-2*this.model.padding])):s=this.model.width}return{width:s,height:o}}_tick_coordinate_scale(t){const e={source_range:new h.Range1d({start:this.model.color_mapper.low,end:this.model.color_mapper.high}),target_range:new h.Range1d({start:0,end:t})};switch(this.model.color_mapper.type){case\"LinearColorMapper\":return new n.LinearScale(e);case\"LogColorMapper\":return new _.LogScale(e);default:f.unreachable()}}_format_major_labels(t,e){const i=this.model.formatter.doFormat(t,null);for(let t=0,o=e.length;t<o;t++)e[t]in this.model.major_label_overrides&&(i[t]=this.model.major_label_overrides[e[t]]);return i}tick_info(){const t=this._computed_image_dimensions();let e;switch(this.model.orientation){case\"vertical\":e=t.height;break;case\"horizontal\":e=t.width}const i=this._tick_coordinate_scale(e),[o,s]=this._normals(),[a,l]=[this.model.color_mapper.low,this.model.color_mapper.high],r=this.model.ticker.get_ticks(a,l,null,null,this.model.ticker.desired_num_ticks),n=r.major,_=r.minor,h=[[],[]],m=[[],[]];for(let t=0,e=n.length;t<e;t++)n[t]<a||n[t]>l||(h[o].push(n[t]),h[s].push(0));for(let t=0,e=_.length;t<e;t++)_[t]<a||_[t]>l||(m[o].push(_[t]),m[s].push(0));const d={major:this._format_major_labels(h[o],n)},c={major:[[],[]],minor:[[],[]]};return c.major[o]=i.v_compute(h[o]),c.minor[o]=i.v_compute(m[o]),c.major[s]=h[s],c.minor[s]=m[s],\"vertical\"==this.model.orientation&&(c.major[o]=u.map(c.major[o],t=>e-t),c.minor[o]=u.map(c.minor[o],t=>e-t)),{coords:c,labels:d}}}i.ColorBarView=b,b.__name__=\"ColorBarView\";class v extends s.Annotation{constructor(t){super(t)}static init_ColorBar(){this.prototype.default_view=b,this.mixins([\"text:major_label_\",\"text:title_\",\"line:major_tick_\",\"line:minor_tick_\",\"line:border_\",\"line:bar_\",\"fill:background_\"]),this.define({location:[m.Any,\"top_right\"],orientation:[m.Orientation,\"vertical\"],title:[m.String],title_standoff:[m.Number,2],width:[m.Any,\"auto\"],height:[m.Any,\"auto\"],scale_alpha:[m.Number,1],ticker:[m.Instance,()=>new a.BasicTicker],formatter:[m.Instance,()=>new l.BasicTickFormatter],major_label_overrides:[m.Any,{}],color_mapper:[m.Instance],label_standoff:[m.Number,5],margin:[m.Number,30],padding:[m.Number,10],major_tick_in:[m.Number,5],major_tick_out:[m.Number,0],minor_tick_in:[m.Number,0],minor_tick_out:[m.Number,0]}),this.override({background_fill_color:\"#ffffff\",background_fill_alpha:.95,bar_line_color:null,border_line_color:null,major_label_text_align:\"center\",major_label_text_baseline:\"middle\",major_label_text_font_size:\"8pt\",major_tick_line_color:\"#ffffff\",minor_tick_line_color:null,title_text_font_size:\"10pt\",title_text_font_style:\"italic\"})}}i.ColorBar=v,v.__name__=\"ColorBar\",v.init_ColorBar()},\n",
       "      function _(e,c,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(109);class r extends i.AdaptiveTicker{constructor(e){super(e)}}s.BasicTicker=r,r.__name__=\"BasicTicker\"},\n",
       "      function _(t,i,a){Object.defineProperty(a,\"__esModule\",{value:!0});const e=t(1),s=t(110),n=t(9),r=e.__importStar(t(19));class _ extends s.ContinuousTicker{constructor(t){super(t)}static init_AdaptiveTicker(){this.define({base:[r.Number,10],mantissas:[r.Array,[1,2,5]],min_interval:[r.Number,0],max_interval:[r.Number]})}initialize(){super.initialize();const t=n.nth(this.mantissas,-1)/this.base,i=n.nth(this.mantissas,0)*this.base;this.extended_mantissas=[t,...this.mantissas,i],this.base_factor=0===this.get_min_interval()?1:this.get_min_interval()}get_interval(t,i,a){const e=i-t,s=this.get_ideal_interval(t,i,a),r=Math.floor(function(t,i=Math.E){return Math.log(t)/Math.log(i)}(s/this.base_factor,this.base)),_=Math.pow(this.base,r)*this.base_factor,h=this.extended_mantissas,m=h.map(t=>Math.abs(a-e/(t*_))),o=h[n.argmin(m)];return c=o*_,l=this.get_min_interval(),u=this.get_max_interval(),Math.max(l,Math.min(u,c));var c,l,u}}a.AdaptiveTicker=_,_.__name__=\"AdaptiveTicker\",_.init_AdaptiveTicker()},\n",
       "      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=t(1),r=t(111),s=n.__importStar(t(19)),o=t(9),_=t(8);class c extends r.Ticker{constructor(t){super(t)}static init_ContinuousTicker(){this.define({num_minor_ticks:[s.Number,5],desired_num_ticks:[s.Number,6]})}get_ticks(t,i,e,n,r){return this.get_ticks_no_defaults(t,i,n,this.desired_num_ticks)}get_ticks_no_defaults(t,i,e,n){const r=this.get_interval(t,i,n),s=Math.floor(t/r),c=Math.ceil(i/r);let u;u=_.isStrictNaN(s)||_.isStrictNaN(c)?[]:o.range(s,c+1);const a=u.map(t=>t*r).filter(e=>t<=e&&e<=i),l=this.num_minor_ticks,m=[];if(l>0&&a.length>0){const e=r/l,n=o.range(0,l).map(t=>t*e);for(const e of n.slice(1)){const n=a[0]-e;t<=n&&n<=i&&m.push(n)}for(const e of a)for(const r of n){const n=e+r;t<=n&&n<=i&&m.push(n)}}return{major:a,minor:m}}get_min_interval(){return this.min_interval}get_max_interval(){return null!=this.max_interval?this.max_interval:1/0}get_ideal_interval(t,i,e){return(i-t)/e}}e.ContinuousTicker=c,c.__name__=\"ContinuousTicker\",c.init_ContinuousTicker()},\n",
       "      function _(e,c,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(69);class r extends o.Model{constructor(e){super(e)}}n.Ticker=r,r.__name__=\"Ticker\"},\n",
       "      function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=i(1),o=i(113),s=r.__importStar(i(19));class n extends o.TickFormatter{constructor(i){super(i),this.last_precision=3}static init_BasicTickFormatter(){this.define({precision:[s.Any,\"auto\"],use_scientific:[s.Boolean,!0],power_limit_high:[s.Number,5],power_limit_low:[s.Number,-3]})}get scientific_limit_low(){return Math.pow(10,this.power_limit_low)}get scientific_limit_high(){return Math.pow(10,this.power_limit_high)}_need_sci(i){if(!this.use_scientific)return!1;const{scientific_limit_high:t}=this,{scientific_limit_low:e}=this,r=i.length<2?0:Math.abs(i[1]-i[0])/1e4;for(const o of i){const i=Math.abs(o);if(!(i<=r)&&(i>=t||i<=e))return!0}return!1}_format_with_precision(i,t,e){const r=new Array(i.length);if(t)for(let t=0,o=i.length;t<o;t++)r[t]=i[t].toExponential(e);else for(let t=0,o=i.length;t<o;t++)r[t]=i[t].toFixed(e).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\");return r}_auto_precision(i,t){const e=new Array(i.length),r=this.last_precision<=15;i:for(let o=this.last_precision;r?o<=15:o>=1;r?o++:o--){if(t){e[0]=i[0].toExponential(o);for(let t=1;t<i.length;t++)if(e[t]==e[t-1])continue i;this.last_precision=o;break}e[0]=i[0].toFixed(o).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\");for(let t=1;t<i.length;t++)if(e[t]=i[t].toFixed(o).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\"),e[t]==e[t-1])continue i;this.last_precision=o;break}return this.last_precision}doFormat(i,t){if(0==i.length)return[];const e=this._need_sci(i),r=\"auto\"==this.precision?this._auto_precision(i,e):this.precision;return this._format_with_precision(i,e,r)}}e.BasicTickFormatter=n,n.__name__=\"BasicTickFormatter\",n.init_BasicTickFormatter()},\n",
       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(69);class c extends r.Model{constructor(e){super(e)}}o.TickFormatter=c,c.__name__=\"TickFormatter\"},\n",
       "      function _(o,n,l){Object.defineProperty(l,\"__esModule\",{value:!0});const e=o(115),t=o(12);class i extends e.ContinuousColorMapper{constructor(o){super(o)}_v_compute(o,n,l,e){const{nan_color:i,low_color:r,high_color:s}=e,c=null!=this.low?this.low:t.min(o),h=null!=this.high?this.high:t.max(o),u=l.length-1,a=1/(h-c),_=1/l.length;for(let e=0,t=o.length;e<t;e++){const t=o[e];if(isNaN(t)){n[e]=i;continue}if(t==h){n[e]=l[u];continue}const p=(t-c)*a,f=Math.floor(p/_);n[e]=f<0?null!=r?r:l[0]:f>u?null!=s?s:l[u]:l[f]}}}l.LinearColorMapper=i,i.__name__=\"LinearColorMapper\"},\n",
       "      function _(o,r,l){Object.defineProperty(l,\"__esModule\",{value:!0});const i=o(1),t=o(116),e=i.__importStar(o(19));class s extends t.ColorMapper{constructor(o){super(o)}static init_ContinuousColorMapper(){this.define({high:[e.Number],low:[e.Number],high_color:[e.Color],low_color:[e.Color]})}_colors(o){return Object.assign(Object.assign({},super._colors(o)),{low_color:null!=this.low_color?o(this.low_color):void 0,high_color:null!=this.high_color?o(this.high_color):void 0})}}l.ContinuousColorMapper=s,s.__name__=\"ContinuousColorMapper\",s.init_ContinuousColorMapper()},\n",
       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=t(1),o=t(117),_=n.__importStar(t(19)),i=t(8),l=t(21),c=t(101);function a(t){return i.isNumber(t)?t:(\"#\"!=t[0]&&(t=l.color2hex(t)),9!=t.length&&(t+=\"ff\"),parseInt(t.slice(1),16))}function s(t){const e=new Uint32Array(t.length);for(let r=0,n=t.length;r<n;r++)e[r]=a(t[r]);return e}function p(t){if(c.is_little_endian){const e=new DataView(t.buffer);for(let r=0,n=t.length;r<n;r++)e.setUint32(4*r,t[r])}return new Uint8Array(t.buffer)}r._convert_color=a,r._convert_palette=s,r._uint32_to_rgba=p;class u extends o.Mapper{constructor(t){super(t)}static init_ColorMapper(){this.define({palette:[_.Any],nan_color:[_.Color,\"gray\"]})}v_compute(t){const e=new Array(t.length);return this._v_compute(t,e,this.palette,this._colors(t=>t)),e}get rgba_mapper(){const t=this,e=s(this.palette),r=this._colors(a);return{v_compute(n){const o=new Uint32Array(n.length);return t._v_compute(n,o,e,r),p(o)}}}_colors(t){return{nan_color:t(this.nan_color)}}}r.ColorMapper=u,u.__name__=\"ColorMapper\",u.init_ColorMapper()},\n",
       "      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(118);class s extends o.Transform{constructor(e){super(e)}compute(e){throw new Error(\"mapping single values is not supported\")}}n.Mapper=s,s.__name__=\"Mapper\"},\n",
       "      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(69);class s extends r.Model{constructor(e){super(e)}}o.Transform=s,s.__name__=\"Transform\"},\n",
       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=e(120);class _ extends r.ContinuousScale{constructor(e){super(e)}compute(e){return this._linear_compute(e)}v_compute(e){return this._linear_v_compute(e)}invert(e){return this._linear_invert(e)}v_invert(e){return this._linear_v_invert(e)}}n.LinearScale=_,_.__name__=\"LinearScale\"},\n",
       "      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const c=e(121);class s extends c.Scale{constructor(e){super(e)}}o.ContinuousScale=s,s.__name__=\"ContinuousScale\"},\n",
       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=t(1),_=t(122),s=n.__importStar(t(19));class i extends _.Transform{constructor(t){super(t)}static init_Scale(){this.internal({source_range:[s.Any],target_range:[s.Any]})}r_compute(t,e){return this.target_range.is_reversed?[this.compute(e),this.compute(t)]:[this.compute(t),this.compute(e)]}r_invert(t,e){return this.target_range.is_reversed?[this.invert(e),this.invert(t)]:[this.invert(t),this.invert(e)]}_linear_compute(t){const[e,r]=this._linear_compute_state();return e*t+r}_linear_v_compute(t){const[e,r]=this._linear_compute_state(),n=new Float64Array(t.length);for(let _=0;_<t.length;_++)n[_]=e*t[_]+r;return n}_linear_invert(t){const[e,r]=this._linear_compute_state();return(t-r)/e}_linear_v_invert(t){const[e,r]=this._linear_compute_state(),n=new Float64Array(t.length);for(let _=0;_<t.length;_++)n[_]=(t[_]-r)/e;return n}_linear_compute_state(){const t=this.source_range.start,e=this.source_range.end,r=this.target_range.start,n=(this.target_range.end-r)/(e-t);return[n,-n*t+r]}}r.Scale=i,i.__name__=\"Scale\",i.init_Scale()},\n",
       "      function _(r,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});var e=r(123);t.CustomJSTransform=e.CustomJSTransform;var a=r(124);t.Dodge=a.Dodge;var n=r(125);t.Interpolator=n.Interpolator;var p=r(126);t.Jitter=p.Jitter;var l=r(127);t.LinearInterpolator=l.LinearInterpolator;var v=r(128);t.StepInterpolator=v.StepInterpolator;var s=r(118);t.Transform=s.Transform},\n",
       "      function _(t,r,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),e=t(118),a=n.__importStar(t(19)),o=t(23),u=t(25);class i extends e.Transform{constructor(t){super(t)}static init_CustomJSTransform(){this.define({args:[a.Any,{}],func:[a.String,\"\"],v_func:[a.String,\"\"]})}get names(){return o.keys(this.args)}get values(){return o.values(this.args)}_make_transform(t,r){return new Function(...this.names,t,u.use_strict(r))}get scalar_transform(){return this._make_transform(\"x\",this.func)}get vector_transform(){return this._make_transform(\"xs\",this.v_func)}compute(t){return this.scalar_transform(...this.values,t)}v_compute(t){return this.vector_transform(...this.values,t)}}s.CustomJSTransform=i,i.__name__=\"CustomJSTransform\",i.init_CustomJSTransform()},\n",
       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=e(1),o=e(118),i=e(88),s=n.__importStar(e(19)),a=e(8);class c extends o.Transform{constructor(e){super(e)}static init_Dodge(){this.define({value:[s.Number,0],range:[s.Instance]})}v_compute(e){let t;if(this.range instanceof i.FactorRange)t=this.range.v_synthetic(e);else{if(!a.isArrayableOf(e,a.isNumber))throw new Error(\"unexpected\");t=e}const r=new Float64Array(t.length);for(let e=0;e<t.length;e++){const n=t[e];r[e]=this._compute(n)}return r}compute(e){if(this.range instanceof i.FactorRange)return this._compute(this.range.synthetic(e));if(a.isNumber(e))return this._compute(e);throw new Error(\"unexpected\")}_compute(e){return e+this.value}}r.Dodge=c,c.__name__=\"Dodge\",c.init_Dodge()},\n",
       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const s=t(1),o=t(118),n=s.__importStar(t(19)),i=t(9),a=t(8);class h extends o.Transform{constructor(t){super(t),this._sorted_dirty=!0}static init_Interpolator(){this.define({x:[n.Any],y:[n.Any],data:[n.Any],clip:[n.Boolean,!0]})}connect_signals(){super.connect_signals(),this.connect(this.change,()=>this._sorted_dirty=!0)}v_compute(t){const e=new Float64Array(t.length);for(let r=0;r<t.length;r++){const s=t[r];e[r]=this.compute(s)}return e}sort(t=!1){if(!this._sorted_dirty)return;let e,r;if(a.isString(this.x)&&a.isString(this.y)&&null!=this.data){const t=this.data.columns();if(!i.includes(t,this.x))throw new Error(\"The x parameter does not correspond to a valid column name defined in the data parameter\");if(!i.includes(t,this.y))throw new Error(\"The y parameter does not correspond to a valid column name defined in the data parameter\");e=this.data.get_column(this.x),r=this.data.get_column(this.y)}else{if(!a.isArray(this.x)||!a.isArray(this.y))throw new Error(\"parameters 'x' and 'y' must be both either string fields or arrays\");e=this.x,r=this.y}if(e.length!==r.length)throw new Error(\"The length for x and y do not match\");if(e.length<2)throw new Error(\"x and y must have at least two elements to support interpolation\");const s=[];for(const t in e)s.push({x:e[t],y:r[t]});t?s.sort((t,e)=>t.x>e.x?-1:t.x==e.x?0:1):s.sort((t,e)=>t.x<e.x?-1:t.x==e.x?0:1),this._x_sorted=[],this._y_sorted=[];for(const{x:t,y:e}of s)this._x_sorted.push(t),this._y_sorted.push(e);this._sorted_dirty=!1}}r.Interpolator=h,h.__name__=\"Interpolator\",h.init_Interpolator()},\n",
       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=t(1),n=t(118),s=t(88),o=t(8),u=i.__importStar(t(19)),a=i.__importStar(t(10));class h extends n.Transform{constructor(t){super(t)}static init_Jitter(){this.define({mean:[u.Number,0],width:[u.Number,1],distribution:[u.Distribution,\"uniform\"],range:[u.Instance]}),this.internal({previous_values:[u.Array]})}v_compute(t){if(null!=this.previous_values&&this.previous_values.length==t.length)return this.previous_values;let e;if(this.range instanceof s.FactorRange)e=this.range.v_synthetic(t);else{if(!o.isArrayableOf(t,o.isNumber))throw new Error(\"unexpected\");e=t}const r=new Float64Array(e.length);for(let t=0;t<e.length;t++){const i=e[t];r[t]=this._compute(i)}return this.previous_values=r,r}compute(t){if(this.range instanceof s.FactorRange)return this._compute(this.range.synthetic(t));if(o.isNumber(t))return this._compute(t);throw new Error(\"unexpected\")}_compute(t){switch(this.distribution){case\"uniform\":return t+this.mean+(a.random()-.5)*this.width;case\"normal\":return t+a.rnorm(this.mean,this.width)}}}r.Jitter=h,h.__name__=\"Jitter\",h.init_Jitter()},\n",
       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const _=t(9),r=t(125);class o extends r.Interpolator{constructor(t){super(t)}compute(t){if(this.sort(!1),this.clip){if(t<this._x_sorted[0]||t>this._x_sorted[this._x_sorted.length-1])return NaN}else{if(t<this._x_sorted[0])return this._y_sorted[0];if(t>this._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}if(t==this._x_sorted[0])return this._y_sorted[0];const s=_.find_last_index(this._x_sorted,s=>s<t),e=this._x_sorted[s],r=this._x_sorted[s+1],o=this._y_sorted[s],i=this._y_sorted[s+1];return o+(t-e)/(r-e)*(i-o)}}e.LinearInterpolator=o,o.__name__=\"LinearInterpolator\"},\n",
       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const s=t(1),o=t(125),_=s.__importStar(t(19)),i=t(9);class n extends o.Interpolator{constructor(t){super(t)}static init_StepInterpolator(){this.define({mode:[_.StepMode,\"after\"]})}compute(t){if(this.sort(!1),this.clip){if(t<this._x_sorted[0]||t>this._x_sorted[this._x_sorted.length-1])return NaN}else{if(t<this._x_sorted[0])return this._y_sorted[0];if(t>this._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}let e;switch(this.mode){case\"after\":e=i.find_last_index(this._x_sorted,e=>t>=e);break;case\"before\":e=i.find_index(this._x_sorted,e=>t<=e);break;case\"center\":{const r=this._x_sorted.map(e=>Math.abs(e-t)),s=i.min(r);e=i.find_index(r,t=>s===t);break}default:throw new Error(`unknown mode: ${this.mode}`)}return-1!=e?this._y_sorted[e]:NaN}}r.StepInterpolator=n,n.__name__=\"StepInterpolator\",n.init_StepInterpolator()},\n",
       "      function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const a=t(120);class s extends a.ContinuousScale{constructor(t){super(t)}compute(t){const[e,o,a,s]=this._compute_state();let n;if(0==a)n=0;else{const r=(Math.log(t)-s)/a;n=isFinite(r)?r*e+o:NaN}return n}v_compute(t){const[e,o,a,s]=this._compute_state(),n=new Float64Array(t.length);if(0==a)for(let e=0;e<t.length;e++)n[e]=0;else for(let r=0;r<t.length;r++){const l=(Math.log(t[r])-s)/a;let c;c=isFinite(l)?l*e+o:NaN,n[r]=c}return n}invert(t){const[e,o,a,s]=this._compute_state(),n=(t-o)/e;return Math.exp(a*n+s)}v_invert(t){const[e,o,a,s]=this._compute_state(),n=new Float64Array(t.length);for(let r=0;r<t.length;r++){const l=(t[r]-o)/e;n[r]=Math.exp(a*l+s)}return n}_get_safe_factor(t,e){let o=t<0?0:t,a=e<0?0:e;if(o==a)if(0==o)[o,a]=[1,10];else{const t=Math.log(o)/Math.log(10);o=Math.pow(10,Math.floor(t)),a=Math.ceil(t)!=Math.floor(t)?Math.pow(10,Math.ceil(t)):Math.pow(10,Math.ceil(t)+1)}return[o,a]}_compute_state(){const t=this.source_range.start,e=this.source_range.end,o=this.target_range.start,a=this.target_range.end-o,[s,n]=this._get_safe_factor(t,e);let r,l;return 0==s?(r=Math.log(n),l=0):(r=Math.log(n)-Math.log(s),l=Math.log(s)),[a,o,r,l]}}o.LogScale=s,s.__name__=\"LogScale\"},\n",
       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(89),r=i.__importStar(t(19));class a extends n.Range{constructor(t){super(t)}static init_Range1d(){this.define({start:[r.Number,0],end:[r.Number,1],reset_start:[r.Number],reset_end:[r.Number]})}_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(),null==this.reset_start&&(this.reset_start=this.start),null==this.reset_end&&(this.reset_end=this.end),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(),this.start!=this.reset_start||this.end!=this.reset_end?this.setv({start:this.reset_start,end:this.reset_end}):this.change.emit()}}s.Range1d=a,a.__name__=\"Range1d\",a.init_Range1d()},\n",
       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=t(66),i={};n.measure_font=function(t){if(null!=i[t])return i[t];const e=o.span({style:{font:t}},\"Hg\"),n=o.div({style:{display:\"inline-block\",width:\"1px\",height:\"0px\"}}),l=o.div({},e,n);document.body.appendChild(l);try{n.style.verticalAlign=\"baseline\";const s=o.offset(n).top-o.offset(e).top;n.style.verticalAlign=\"bottom\";const d=o.offset(n).top-o.offset(e).top,c={height:d,ascent:s,descent:d-s};return i[t]=c,c}finally{document.body.removeChild(l)}};const l={};n.measure_text=function(t,e){const n=l[e];if(null!=n){const e=n[t];if(null!=e)return e}else l[e]={};const i=o.div({style:{display:\"inline-block\",\"white-space\":\"nowrap\",font:e}},t);document.body.appendChild(i);try{const{width:n,height:o}=i.getBoundingClientRect();return l[e][t]={width:n,height:o},{width:n,height:o}}finally{document.body.removeChild(i)}}},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(133),l=e(66),n=s.__importStar(e(19));class o extends a.TextAnnotationView{initialize(){super.initialize(),this.visuals.warm_cache()}_get_size(){const{ctx:e}=this.plot_view.canvas_view;this.visuals.text.set_value(e);const{width:t,ascent:i}=e.measureText(this.model.text);return{width:t,height:i}}render(){if(this.model.visible||\"css\"!=this.model.render_mode||l.undisplay(this.el),!this.model.visible)return;let e;switch(this.model.angle_units){case\"rad\":e=-this.model.angle;break;case\"deg\":e=-this.model.angle*Math.PI/180}const t=null!=this.panel?this.panel:this.plot_view.frame,i=this.plot_view.frame.xscales[this.model.x_range_name],s=this.plot_view.frame.yscales[this.model.y_range_name];let a=\"data\"==this.model.x_units?i.compute(this.model.x):t.xview.compute(this.model.x),n=\"data\"==this.model.y_units?s.compute(this.model.y):t.yview.compute(this.model.y);a+=this.model.x_offset,n-=this.model.y_offset,(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.plot_view.canvas_view.ctx,this.model.text,a,n,e)}}i.LabelView=o,o.__name__=\"LabelView\";class _ extends a.TextAnnotation{constructor(e){super(e)}static init_Label(){this.prototype.default_view=o,this.mixins([\"text\",\"line:border_\",\"fill:background_\"]),this.define({x:[n.Number],x_units:[n.SpatialUnits,\"data\"],y:[n.Number],y_units:[n.SpatialUnits,\"data\"],text:[n.String],angle:[n.Angle,0],angle_units:[n.AngleUnits,\"rad\"],x_offset:[n.Number,0],y_offset:[n.Number,0],x_range_name:[n.String,\"default\"],y_range_name:[n.String,\"default\"]}),this.override({background_fill_color:null,border_line_color:null})}}i.Label=_,_.__name__=\"Label\",_.init_Label()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),l=e(29),a=e(66),n=i.__importStar(e(19)),o=e(131),r=e(106),_=e(11);class h extends l.AnnotationView{constructor(){super(...arguments),this.rotate=!0}initialize(){super.initialize(),\"css\"==this.model.render_mode&&(this.el.classList.add(r.bk_annotation),this.plot_view.canvas_view.add_overlay(this.el))}connect_signals(){super.connect_signals(),\"css\"==this.model.render_mode?this.connect(this.model.change,()=>this.render()):this.connect(this.model.change,()=>this.plot_view.request_render())}_calculate_text_dimensions(e,t){const{width:s}=e.measureText(t),{height:i}=o.measure_font(this.visuals.text.font_value());return[s,i]}_calculate_bounding_box_dimensions(e,t){const[s,i]=this._calculate_text_dimensions(e,t);let l,a;switch(e.textAlign){case\"left\":l=0;break;case\"center\":l=-s/2;break;case\"right\":l=-s;break;default:_.unreachable()}switch(e.textBaseline){case\"top\":a=0;break;case\"middle\":a=-.5*i;break;case\"bottom\":a=-1*i;break;case\"alphabetic\":a=-.8*i;break;case\"hanging\":a=-.17*i;break;case\"ideographic\":a=-.83*i;break;default:_.unreachable()}return[l,a,s,i]}_canvas_text(e,t,s,i,l){this.visuals.text.set_value(e);const a=this._calculate_bounding_box_dimensions(e,t);e.save(),e.beginPath(),e.translate(s,i),l&&e.rotate(l),e.rect(a[0],a[1],a[2],a[3]),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(e),e.fill()),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(e),e.stroke()),this.visuals.text.doit&&(this.visuals.text.set_value(e),e.fillText(t,0,0)),e.restore()}_css_text(e,t,s,i,l){a.undisplay(this.el),this.visuals.text.set_value(e);const n=this._calculate_bounding_box_dimensions(e,t),o=this.visuals.border_line.line_dash.value().length<2?\"solid\":\"dashed\";this.visuals.border_line.set_value(e),this.visuals.background_fill.set_value(e),this.el.style.position=\"absolute\",this.el.style.left=`${s+n[0]}px`,this.el.style.top=`${i+n[1]}px`,this.el.style.color=`${this.visuals.text.text_color.value()}`,this.el.style.opacity=`${this.visuals.text.text_alpha.value()}`,this.el.style.font=`${this.visuals.text.font_value()}`,this.el.style.lineHeight=\"normal\",l&&(this.el.style.transform=`rotate(${l}rad)`),this.visuals.background_fill.doit&&(this.el.style.backgroundColor=`${this.visuals.background_fill.color_value()}`),this.visuals.border_line.doit&&(this.el.style.borderStyle=`${o}`,this.el.style.borderWidth=`${this.visuals.border_line.line_width.value()}px`,this.el.style.borderColor=`${this.visuals.border_line.color_value()}`),this.el.textContent=t,a.display(this.el)}}s.TextAnnotationView=h,h.__name__=\"TextAnnotationView\";class c extends l.Annotation{constructor(e){super(e)}static init_TextAnnotation(){this.define({render_mode:[n.RenderMode,\"canvas\"]})}}s.TextAnnotation=c,c.__name__=\"TextAnnotation\",c.init_TextAnnotation()},\n",
       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),l=t(133),o=t(73),a=t(66),n=i.__importStar(t(19)),r=t(106);class _ extends l.TextAnnotationView{initialize(){if(super.initialize(),this.set_data(this.model.source),\"css\"==this.model.render_mode)for(let t=0,e=this._text.length;t<e;t++){const t=a.div({class:r.bk_annotation_child,style:{display:\"none\"}});this.el.appendChild(t)}}connect_signals(){super.connect_signals(),\"css\"==this.model.render_mode?(this.connect(this.model.change,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.streaming,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.patching,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.change,()=>{this.set_data(this.model.source),this.render()})):(this.connect(this.model.change,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.streaming,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.patching,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.change,()=>{this.set_data(this.model.source),this.plot_view.request_render()}))}set_data(t){super.set_data(t),this.visuals.warm_cache(t)}_map_data(){const t=this.plot_view.frame.xscales[this.model.x_range_name],e=this.plot_view.frame.yscales[this.model.y_range_name],s=null!=this.panel?this.panel:this.plot_view.frame;return[\"data\"==this.model.x_units?t.v_compute(this._x):s.xview.v_compute(this._x),\"data\"==this.model.y_units?e.v_compute(this._y):s.yview.v_compute(this._y)]}render(){if(this.model.visible||\"css\"!=this.model.render_mode||a.undisplay(this.el),!this.model.visible)return;const t=\"canvas\"==this.model.render_mode?this._v_canvas_text.bind(this):this._v_css_text.bind(this),{ctx:e}=this.plot_view.canvas_view,[s,i]=this._map_data();for(let l=0,o=this._text.length;l<o;l++)t(e,l,this._text[l],s[l]+this._x_offset[l],i[l]-this._y_offset[l],this._angle[l])}_get_size(){const{ctx:t}=this.plot_view.canvas_view;this.visuals.text.set_value(t);const{width:e,ascent:s}=t.measureText(this._text[0]);return{width:e,height:s}}_v_canvas_text(t,e,s,i,l,o){this.visuals.text.set_vectorize(t,e);const a=this._calculate_bounding_box_dimensions(t,s);t.save(),t.beginPath(),t.translate(i,l),t.rotate(o),t.rect(a[0],a[1],a[2],a[3]),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_vectorize(t,e),t.fill()),this.visuals.border_line.doit&&(this.visuals.border_line.set_vectorize(t,e),t.stroke()),this.visuals.text.doit&&(this.visuals.text.set_vectorize(t,e),t.fillText(s,0,0)),t.restore()}_v_css_text(t,e,s,i,l,o){const n=this.el.children[e];n.textContent=s,this.visuals.text.set_vectorize(t,e);const r=this._calculate_bounding_box_dimensions(t,s),_=this.visuals.border_line.line_dash.value().length<2?\"solid\":\"dashed\";this.visuals.border_line.set_vectorize(t,e),this.visuals.background_fill.set_vectorize(t,e),n.style.position=\"absolute\",n.style.left=`${i+r[0]}px`,n.style.top=`${l+r[1]}px`,n.style.color=`${this.visuals.text.text_color.value()}`,n.style.opacity=`${this.visuals.text.text_alpha.value()}`,n.style.font=`${this.visuals.text.font_value()}`,n.style.lineHeight=\"normal\",o&&(n.style.transform=`rotate(${o}rad)`),this.visuals.background_fill.doit&&(n.style.backgroundColor=`${this.visuals.background_fill.color_value()}`),this.visuals.border_line.doit&&(n.style.borderStyle=`${_}`,n.style.borderWidth=`${this.visuals.border_line.line_width.value()}px`,n.style.borderColor=`${this.visuals.border_line.color_value()}`),a.display(n)}}s.LabelSetView=_,_.__name__=\"LabelSetView\";class h extends l.TextAnnotation{constructor(t){super(t)}static init_LabelSet(){this.prototype.default_view=_,this.mixins([\"text\",\"line:border_\",\"fill:background_\"]),this.define({x:[n.NumberSpec],y:[n.NumberSpec],x_units:[n.SpatialUnits,\"data\"],y_units:[n.SpatialUnits,\"data\"],text:[n.StringSpec,{field:\"text\"}],angle:[n.AngleSpec,0],x_offset:[n.NumberSpec,{value:0}],y_offset:[n.NumberSpec,{value:0}],source:[n.Instance,()=>new o.ColumnDataSource],x_range_name:[n.String,\"default\"],y_range_name:[n.String,\"default\"]}),this.override({background_fill_color:null,border_line_color:null})}}s.LabelSet=h,h.__name__=\"LabelSet\",h.init_LabelSet()},\n",
       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),l=t(29),n=s.__importStar(t(19)),h=t(14),a=t(131),_=t(85),o=t(9),r=t(23),d=t(8),c=t(11);class m extends l.AnnotationView{cursor(t,e){return\"none\"==this.model.click_policy?null:\"pointer\"}get legend_padding(){return null!=this.visuals.border_line.line_color.value()?this.model.padding:0}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render()),this.connect(this.model.item_change,()=>this.plot_view.request_render())}compute_legend_bbox(){const t=this.model.get_legend_names(),{glyph_height:e,glyph_width:i}=this.model,{label_height:s,label_width:l}=this.model;this.max_label_height=o.max([a.measure_font(this.visuals.label_text.font_value()).height,s,e]);const{ctx:n}=this.plot_view.canvas_view;n.save(),this.visuals.label_text.set_value(n),this.text_widths={};for(const e of t)this.text_widths[e]=o.max([n.measureText(e).width,l]);this.visuals.title_text.set_value(n),this.title_height=this.model.title?a.measure_font(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 h=Math.max(o.max(r.values(this.text_widths)),0),m=this.model.margin,{legend_padding:g}=this,b=this.model.spacing,{label_standoff:f}=this.model;let u,x;if(\"vertical\"==this.model.orientation)u=t.length*this.max_label_height+Math.max(t.length-1,0)*b+2*g+this.title_height,x=o.max([h+i+f+2*g,this.title_width+2*g]);else{let e=2*g+Math.max(t.length-1,0)*b;for(const t in this.text_widths){const s=this.text_widths[t];e+=o.max([s,l])+i+f}x=o.max([this.title_width+2*g,e]),u=this.max_label_height+this.title_height+2*g}const p=null!=this.panel?this.panel:this.plot_view.frame,[v,w]=p.bbox.ranges,{location:y}=this.model;let k,N;if(d.isString(y))switch(y){case\"top_left\":k=v.start+m,N=w.start+m;break;case\"top_center\":k=(v.end+v.start)/2-x/2,N=w.start+m;break;case\"top_right\":k=v.end-m-x,N=w.start+m;break;case\"bottom_right\":k=v.end-m-x,N=w.end-m-u;break;case\"bottom_center\":k=(v.end+v.start)/2-x/2,N=w.end-m-u;break;case\"bottom_left\":k=v.start+m,N=w.end-m-u;break;case\"center_left\":k=v.start+m,N=(w.end+w.start)/2-u/2;break;case\"center\":k=(v.end+v.start)/2-x/2,N=(w.end+w.start)/2-u/2;break;case\"center_right\":k=v.end-m-x,N=(w.end+w.start)/2-u/2}else if(d.isArray(y)&&2==y.length){const[t,e]=y;k=p.xview.compute(t),N=p.yview.compute(e)-u}else c.unreachable();return new _.BBox({left:k,top:N,width:x,height:u})}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:s}=this.model,{legend_padding:l}=this,n=this.model.spacing,{label_standoff:h}=this.model;let a=i=l;const o=this.compute_legend_bbox(),r=\"vertical\"==this.model.orientation;for(const d of this.model.items){const c=d.get_labels_list_from_label_prop();for(const m of c){const c=o.x+a,g=o.y+i+this.title_height;let b,f;if([b,f]=r?[o.width-2*l,this.max_label_height]:[this.text_widths[m]+s+h,this.max_label_height],new _.BBox({left:c,top:g,width:b,height:f}).contains(t,e)){switch(this.model.click_policy){case\"hide\":for(const t of d.renderers)t.visible=!t.visible;break;case\"mute\":for(const t of d.renderers)t.muted=!t.muted}return!0}r?i+=this.max_label_height+n:a+=this.text_widths[m]+s+h+n}}return!1}render(){if(!this.model.visible)return;if(0==this.model.items.length)return;for(const t of this.model.items)t.legend=this.model;const{ctx:t}=this.plot_view.canvas_view,e=this.compute_legend_bbox();t.save(),this._draw_legend_box(t,e),this._draw_legend_items(t,e),this.model.title&&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.set_value(t),t.fill(),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.stroke())}_draw_legend_items(t,e){const{glyph_width:i,glyph_height:s}=this.model,{legend_padding:l}=this,n=this.model.spacing,{label_standoff:h}=this.model;let a=l,_=l;const r=\"vertical\"==this.model.orientation;for(const d of this.model.items){const c=d.get_labels_list_from_label_prop(),m=d.get_field_from_label_prop();if(0==c.length)continue;const g=(()=>{switch(this.model.click_policy){case\"none\":return!0;case\"hide\":return o.every(d.renderers,t=>t.visible);case\"mute\":return o.every(d.renderers,t=>!t.muted)}})();for(const o of c){const c=e.x+a,b=e.y+_+this.title_height,f=c+i,u=b+s;r?_+=this.max_label_height+n:a+=this.text_widths[o]+i+h+n,this.visuals.label_text.set_value(t),t.fillText(o,f+h,b+this.max_label_height/2);for(const e of d.renderers){this.plot_view.renderer_views[e.id].draw_legend(t,c,f,b,u,m,o,d.index)}if(!g){let s,n;[s,n]=r?[e.width-2*l,this.max_label_height]:[this.text_widths[o]+i+h,this.max_label_height],t.beginPath(),t.rect(c,b,s,n),this.visuals.inactive_fill.set_value(t),t.fill()}}}}_draw_title(t,e){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(this.model.title,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=m,m.__name__=\"LegendView\";class g extends l.Annotation{constructor(t){super(t)}initialize(){super.initialize(),this.item_change=new h.Signal0(this,\"item_change\")}static init_Legend(){this.prototype.default_view=m,this.mixins([\"text:label_\",\"text:title_\",\"fill:inactive_\",\"line:border_\",\"fill:background_\"]),this.define({orientation:[n.Orientation,\"vertical\"],location:[n.Any,\"top_right\"],title:[n.String],title_standoff:[n.Number,5],label_standoff:[n.Number,5],glyph_height:[n.Number,20],glyph_width:[n.Number,20],label_height:[n.Number,20],label_width:[n.Number,20],margin:[n.Number,10],padding:[n.Number,10],spacing:[n.Number,3],items:[n.Array,[]],click_policy:[n.Any,\"none\"]}),this.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:\"10pt\",label_text_baseline:\"middle\",title_text_font_size:\"10pt\",title_text_font_style:\"italic\"})}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=g,g.__name__=\"Legend\",g.init_Legend()},\n",
       "      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),l=e(69),i=e(74),s=e(137),_=t.__importStar(e(19)),o=e(70),a=e(9);class u extends l.Model{constructor(e){super(e)}static init_LegendItem(){this.define({label:[_.StringSpec,null],renderers:[_.Array,[]],index:[_.Number,null]})}_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&&!a.includes(r.columns(),e))return!1}return!0}initialize(){super.initialize(),this.legend=null,this.connect(this.change,()=>{null!=this.legend&&this.legend.item_change.emit()}),this._check_data_sources_on_renderers()||o.logger.error(\"Non matching data sources on legend item renderers\"),this._check_field_label_on_data_source()||o.logger.error(`Bad column name on label: ${this.label}`)}get_field_from_label_prop(){const{label:e}=this;return s.isField(e)?e.field:null}get_labels_list_from_label_prop(){if(s.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 i.ColumnarDataSource){const n=r.get_column(e);return null!=n?a.uniq(Array.from(n)):[\"Invalid field\"]}}return[]}}n.LegendItem=u,u.__name__=\"LegendItem\",u.init_LegendItem()},\n",
       "      function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(8);n.isValue=function(e){return t.isPlainObject(e)&&\"value\"in e},n.isField=function(e){return t.isPlainObject(e)&&\"field\"in e}},\n",
       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(29),l=t(14),o=n.__importStar(t(19));class a extends s.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render()),this.connect(this.model.data_update,()=>this.plot_view.request_render())}render(){if(!this.model.visible)return;const{xs:t,ys:e}=this.model;if(t.length!=e.length)return;if(t.length<3||e.length<3)return;const{frame:i}=this.plot_view,{ctx:n}=this.plot_view.canvas_view;for(let s=0,l=t.length;s<l;s++){let l,o;if(\"screen\"!=this.model.xs_units)throw new Error(\"not implemented\");if(l=this.model.screen?t[s]:i.xview.compute(t[s]),\"screen\"!=this.model.ys_units)throw new Error(\"not implemented\");o=this.model.screen?e[s]:i.yview.compute(e[s]),0==s?(n.beginPath(),n.moveTo(l,o)):n.lineTo(l,o)}n.closePath(),this.visuals.line.doit&&(this.visuals.line.set_value(n),n.stroke()),this.visuals.fill.doit&&(this.visuals.fill.set_value(n),n.fill())}}i.PolyAnnotationView=a,a.__name__=\"PolyAnnotationView\";class r extends s.Annotation{constructor(t){super(t)}static init_PolyAnnotation(){this.prototype.default_view=a,this.mixins([\"line\",\"fill\"]),this.define({xs:[o.Array,[]],xs_units:[o.SpatialUnits,\"data\"],ys:[o.Array,[]],ys_units:[o.SpatialUnits,\"data\"],x_range_name:[o.String,\"default\"],y_range_name:[o.String,\"default\"]}),this.internal({screen:[o.Boolean,!1]}),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}initialize(){super.initialize(),this.data_update=new l.Signal0(this,\"data_update\")}update({xs:t,ys:e}){this.setv({xs:t,ys:e,screen:!0},{silent:!0}),this.data_update.emit()}}i.PolyAnnotation=r,r.__name__=\"PolyAnnotation\",r.init_PolyAnnotation()},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(29),l=n.__importStar(e(19));class o extends s.AnnotationView{initialize(){super.initialize()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render())}render(){this.model.visible&&this._draw_slope()}_draw_slope(){const e=this.model.gradient,t=this.model.y_intercept;if(null==e||null==t)return;const{frame:i}=this.plot_view,n=i.xscales[this.model.x_range_name],s=i.yscales[this.model.y_range_name],l=i._top.value,o=l+i._height.value,a=(s.invert(l)-t)/e,_=(s.invert(o)-t)/e,r=n.compute(a),c=n.compute(_),{ctx:u}=this.plot_view.canvas_view;u.save(),u.beginPath(),this.visuals.line.set_value(u),u.moveTo(r,l),u.lineTo(c,o),u.stroke(),u.restore()}}i.SlopeView=o,o.__name__=\"SlopeView\";class a extends s.Annotation{constructor(e){super(e)}static init_Slope(){this.prototype.default_view=o,this.mixins([\"line\"]),this.define({gradient:[l.Number,null],y_intercept:[l.Number,null],x_range_name:[l.String,\"default\"],y_range_name:[l.String,\"default\"]}),this.override({line_color:\"black\"})}}i.Slope=a,a.__name__=\"Slope\",a.init_Slope()},\n",
       "      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),o=e(29),n=e(66),l=s.__importStar(e(19));class a extends o.AnnotationView{initialize(){super.initialize(),this.plot_view.canvas_view.add_overlay(this.el),this.el.style.position=\"absolute\",n.undisplay(this.el)}connect_signals(){super.connect_signals(),this.model.for_hover?this.connect(this.model.properties.computed_location.change,()=>this._draw_span()):\"canvas\"==this.model.render_mode?(this.connect(this.model.change,()=>this.plot_view.request_render()),this.connect(this.model.properties.location.change,()=>this.plot_view.request_render())):(this.connect(this.model.change,()=>this.render()),this.connect(this.model.properties.location.change,()=>this._draw_span()))}render(){this.model.visible||\"css\"!=this.model.render_mode||n.undisplay(this.el),this.model.visible&&this._draw_span()}_draw_span(){const e=this.model.for_hover?this.model.computed_location:this.model.location;if(null==e)return void n.undisplay(this.el);const{frame:i}=this.plot_view,t=i.xscales[this.model.x_range_name],s=i.yscales[this.model.y_range_name],o=(i,t)=>this.model.for_hover?this.model.computed_location:\"data\"==this.model.location_units?i.compute(e):t.compute(e);let l,a,h,d;if(\"width\"==this.model.dimension?(h=o(s,i.yview),a=i._left.value,d=i._width.value,l=this.model.properties.line_width.value()):(h=i._top.value,a=o(t,i.xview),d=this.model.properties.line_width.value(),l=i._height.value),\"css\"==this.model.render_mode)this.el.style.top=`${h}px`,this.el.style.left=`${a}px`,this.el.style.width=`${d}px`,this.el.style.height=`${l}px`,this.el.style.backgroundColor=this.model.properties.line_color.value(),this.el.style.opacity=this.model.properties.line_alpha.value(),n.display(this.el);else if(\"canvas\"==this.model.render_mode){const{ctx:e}=this.plot_view.canvas_view;e.save(),e.beginPath(),this.visuals.line.set_value(e),e.moveTo(a,h),\"width\"==this.model.dimension?e.lineTo(a+d,h):e.lineTo(a,h+l),e.stroke(),e.restore()}}}t.SpanView=a,a.__name__=\"SpanView\";class h extends o.Annotation{constructor(e){super(e)}static init_Span(){this.prototype.default_view=a,this.mixins([\"line\"]),this.define({render_mode:[l.RenderMode,\"canvas\"],x_range_name:[l.String,\"default\"],y_range_name:[l.String,\"default\"],location:[l.Number,null],location_units:[l.SpatialUnits,\"data\"],dimension:[l.Dimension,\"width\"]}),this.override({line_color:\"black\"}),this.internal({for_hover:[l.Boolean,!1],computed_location:[l.Number,null]})}}t.Span=h,h.__name__=\"Span\",h.init_Span()},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=e(1),a=e(133),s=e(66),n=e(68),o=l.__importStar(e(19));class r extends a.TextAnnotationView{initialize(){super.initialize(),this.visuals.text=new n.Text(this.model)}_get_location(){const e=this.panel,t=this.model.offset;let i,l;switch(e.side){case\"above\":case\"below\":switch(this.model.vertical_align){case\"top\":l=e._top.value+5;break;case\"middle\":l=e._vcenter.value;break;case\"bottom\":l=e._bottom.value-5}switch(this.model.align){case\"left\":i=e._left.value+t;break;case\"center\":i=e._hcenter.value;break;case\"right\":i=e._right.value-t}break;case\"left\":switch(this.model.vertical_align){case\"top\":i=e._left.value-5;break;case\"middle\":i=e._hcenter.value;break;case\"bottom\":i=e._right.value+5}switch(this.model.align){case\"left\":l=e._bottom.value-t;break;case\"center\":l=e._vcenter.value;break;case\"right\":l=e._top.value+t}break;case\"right\":switch(this.model.vertical_align){case\"top\":i=e._right.value-5;break;case\"middle\":i=e._hcenter.value;break;case\"bottom\":i=e._left.value+5}switch(this.model.align){case\"left\":l=e._top.value+t;break;case\"center\":l=e._vcenter.value;break;case\"right\":l=e._bottom.value-t}}return[i,l]}render(){if(!this.model.visible)return void(\"css\"==this.model.render_mode&&s.undisplay(this.el));const{text:e}=this.model;if(null==e||0==e.length)return;this.model.text_baseline=this.model.vertical_align,this.model.text_align=this.model.align;const[t,i]=this._get_location(),l=this.panel.get_label_angle_heuristic(\"parallel\");(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.plot_view.canvas_view.ctx,e,t,i,l)}_get_size(){const{text:e}=this.model;if(null==e||0==e.length)return{width:0,height:0};{this.visuals.text.set_value(this.ctx);const{width:t,ascent:i}=this.ctx.measureText(e);return{width:t,height:i*this.visuals.text.text_line_height.value()+10}}}}i.TitleView=r,r.__name__=\"TitleView\";class c extends a.TextAnnotation{constructor(e){super(e)}static init_Title(){this.prototype.default_view=r,this.mixins([\"line:border_\",\"fill:background_\"]),this.define({text:[o.String],text_font:[o.Font,\"helvetica\"],text_font_size:[o.FontSizeSpec,\"10pt\"],text_font_style:[o.FontStyle,\"bold\"],text_color:[o.ColorSpec,\"#444444\"],text_alpha:[o.NumberSpec,1],text_line_height:[o.Number,1],vertical_align:[o.VerticalAlign,\"bottom\"],align:[o.TextAlign,\"left\"],offset:[o.Number,0]}),this.override({background_fill_color:null,border_line_color:null}),this.internal({text_align:[o.TextAlign,\"left\"],text_baseline:[o.TextBaseline,\"bottom\"]})}}i.Title=c,c.__name__=\"Title\",c.init_Title()},\n",
       "      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),l=e(29),s=e(96),a=e(66),n=o.__importStar(e(19));class r extends l.AnnotationView{constructor(){super(...arguments),this.rotate=!0}initialize(){super.initialize(),this.plot_view.canvas_view.add_event(this.el)}async lazy_initialize(){this._toolbar_view=await s.build_view(this.model.toolbar,{parent:this}),this.plot_view.visibility_callbacks.push(e=>this._toolbar_view.set_visibility(e))}remove(){this._toolbar_view.remove(),super.remove()}render(){super.render(),this.model.visible?(this.el.style.position=\"absolute\",this.el.style.overflow=\"hidden\",a.position(this.el,this.panel.bbox),this._toolbar_view.render(),a.empty(this.el),this.el.appendChild(this._toolbar_view.el),a.display(this.el)):a.undisplay(this.el)}_get_size(){const{tools:e,logo:i}=this.model.toolbar;return{width:30*e.length+(null!=i?25:0),height:30}}}t.ToolbarPanelView=r,r.__name__=\"ToolbarPanelView\";class _ extends l.Annotation{constructor(e){super(e)}static init_ToolbarPanel(){this.prototype.default_view=r,this.define({toolbar:[n.Instance]})}}t.ToolbarPanel=_,_.__name__=\"ToolbarPanel\",_.init_ToolbarPanel()},\n",
       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),l=t(29),o=t(66),a=i.__importStar(t(19)),h=t(144),n=t(145);function c(t,e,s,i,l){switch(t){case\"horizontal\":return e<i?\"right\":\"left\";case\"vertical\":return s<l?\"below\":\"above\";default:return t}}s.compute_side=c;class r extends l.AnnotationView{initialize(){super.initialize(),this.plot_view.canvas_view.add_overlay(this.el),o.undisplay(this.el)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,()=>this._draw_tips())}css_classes(){return super.css_classes().concat(h.bk_tooltip)}render(){this.model.visible&&this._draw_tips()}_draw_tips(){const{data:t}=this.model;if(o.empty(this.el),o.undisplay(this.el),this.model.custom?this.el.classList.add(h.bk_tooltip_custom):this.el.classList.remove(h.bk_tooltip_custom),0==t.length)return;const{frame:e}=this.plot_view;for(const[s,i,l]of t){if(this.model.inner_only&&!e.bbox.contains(s,i))continue;const t=o.div({},l);this.el.appendChild(t)}const[s,i]=t[t.length-1],l=c(this.model.attachment,s,i,e._hcenter.value,e._vcenter.value);this.el.classList.remove(n.bk_right),this.el.classList.remove(n.bk_left),this.el.classList.remove(n.bk_above),this.el.classList.remove(n.bk_below);let a;o.display(this.el);let r=0,d=0;switch(l){case\"right\":this.el.classList.add(n.bk_left),r=s+(this.el.offsetWidth-this.el.clientWidth)+10,a=i-this.el.offsetHeight/2;break;case\"left\":this.el.classList.add(n.bk_right),d=this.plot_view.layout.bbox.width-s+10,a=i-this.el.offsetHeight/2;break;case\"below\":this.el.classList.add(n.bk_above),a=i+(this.el.offsetHeight-this.el.clientHeight)+10,r=Math.round(s-this.el.offsetWidth/2);break;case\"above\":this.el.classList.add(n.bk_below),a=i-this.el.offsetHeight-10,r=Math.round(s-this.el.offsetWidth/2)}this.model.show_arrow&&this.el.classList.add(h.bk_tooltip_arrow),this.el.childNodes.length>0?(this.el.style.top=`${a}px`,this.el.style.left=r?`${r}px`:\"auto\",this.el.style.right=d?`${d}px`:\"auto\"):o.undisplay(this.el)}}s.TooltipView=r,r.__name__=\"TooltipView\";class d extends l.Annotation{constructor(t){super(t)}static init_Tooltip(){this.prototype.default_view=r,this.define({attachment:[a.TooltipAttachment,\"horizontal\"],inner_only:[a.Boolean,!0],show_arrow:[a.Boolean,!0]}),this.override({level:\"overlay\"}),this.internal({data:[a.Any,[]],custom:[a.Any]})}clear(){this.data=[]}add(t,e,s){this.data=this.data.concat([[t,e,s]])}}s.Tooltip=d,d.__name__=\"Tooltip\",d.init_Tooltip()},\n",
       "      function _(o,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=o(1);o(67),r.__importStar(o(66)).styles.append('.bk-root {\\n  /* Same border color used everywhere */\\n  /* Gray of icons */\\n}\\n.bk-root .bk-tooltip {\\n  font-weight: 300;\\n  font-size: 12px;\\n  position: absolute;\\n  padding: 5px;\\n  border: 1px solid #e5e5e5;\\n  color: #2f2f2f;\\n  background-color: white;\\n  pointer-events: none;\\n  opacity: 0.95;\\n  z-index: 100;\\n}\\n.bk-root .bk-tooltip > div:not(:first-child) {\\n  /* gives space when multiple elements are being hovered over */\\n  margin-top: 5px;\\n  border-top: #e5e5e5 1px dashed;\\n}\\n.bk-root .bk-tooltip.bk-left.bk-tooltip-arrow::before {\\n  position: absolute;\\n  margin: -7px 0 0 0;\\n  top: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 7px 0 7px 0;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  left: -10px;\\n  border-right-width: 10px;\\n  border-right-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-left::before {\\n  left: -10px;\\n  border-right-width: 10px;\\n  border-right-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-right.bk-tooltip-arrow::after {\\n  position: absolute;\\n  margin: -7px 0 0 0;\\n  top: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 7px 0 7px 0;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  right: -10px;\\n  border-left-width: 10px;\\n  border-left-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-right::after {\\n  right: -10px;\\n  border-left-width: 10px;\\n  border-left-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-above::before {\\n  position: absolute;\\n  margin: 0 0 0 -7px;\\n  left: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 0 7px 0 7px;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  top: -10px;\\n  border-bottom-width: 10px;\\n  border-bottom-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-below::after {\\n  position: absolute;\\n  margin: 0 0 0 -7px;\\n  left: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 0 7px 0 7px;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  bottom: -10px;\\n  border-top-width: 10px;\\n  border-top-color: #909599;\\n}\\n.bk-root .bk-tooltip-row-label {\\n  text-align: right;\\n  color: #26aae1;\\n  /* blue from toolbar highlighting */\\n}\\n.bk-root .bk-tooltip-row-value {\\n  color: default;\\n  /* seems to be necessary for notebook */\\n}\\n.bk-root .bk-tooltip-color-block {\\n  width: 12px;\\n  height: 12px;\\n  margin-left: 5px;\\n  margin-right: 5px;\\n  outline: #dddddd solid 1px;\\n  display: inline-block;\\n}\\n'),n.bk_tooltip=\"bk-tooltip\",n.bk_tooltip_arrow=\"bk-tooltip-arrow\",n.bk_tooltip_custom=\"bk-tooltip-custom\",n.bk_tooltip_row_label=\"bk-tooltip-row-label\",n.bk_tooltip_row_value=\"bk-tooltip-row-value\",n.bk_tooltip_color_block=\"bk-tooltip-color-block\"},\n",
       "      function _(e,b,t){Object.defineProperty(t,\"__esModule\",{value:!0}),e(1).__importStar(e(66)).styles.append(\"\"),t.bk_active=\"bk-active\",t.bk_inline=\"bk-inline\",t.bk_left=\"bk-left\",t.bk_right=\"bk-right\",t.bk_above=\"bk-above\",t.bk_below=\"bk-below\",t.bk_up=\"bk-up\",t.bk_down=\"bk-down\",t.bk_side=function(e){switch(e){case\"above\":return t.bk_above;case\"below\":return t.bk_below;case\"left\":return t.bk_left;case\"right\":return t.bk_right}}},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(29),o=e(73),a=e(72),n=i.__importStar(e(19));class h extends r.AnnotationView{initialize(){super.initialize(),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source)),this.connect(this.model.source.change,()=>this.set_data(this.model.source))}set_data(e){super.set_data(e),this.visuals.warm_cache(e),this.plot_view.request_render()}_map_data(){const{frame:e}=this.plot_view,t=this.model.dimension,s=e.xscales[this.model.x_range_name],i=e.yscales[this.model.y_range_name],r=\"height\"==t?i:s,o=\"height\"==t?s:i,a=\"height\"==t?e.yview:e.xview,n=\"height\"==t?e.xview:e.yview;let h,_,l;h=\"data\"==this.model.properties.lower.units?r.v_compute(this._lower):a.v_compute(this._lower),_=\"data\"==this.model.properties.upper.units?r.v_compute(this._upper):a.v_compute(this._upper),l=\"data\"==this.model.properties.base.units?o.v_compute(this._base):n.v_compute(this._base);const[d,p]=\"height\"==t?[1,0]:[0,1],c=[h,l],u=[_,l];this._lower_sx=c[d],this._lower_sy=c[p],this._upper_sx=u[d],this._upper_sy=u[p]}render(){if(!this.model.visible)return;this._map_data();const{ctx:e}=this.plot_view.canvas_view;if(this.visuals.line.doit)for(let t=0,s=this._lower_sx.length;t<s;t++)this.visuals.line.set_vectorize(e,t),e.beginPath(),e.moveTo(this._lower_sx[t],this._lower_sy[t]),e.lineTo(this._upper_sx[t],this._upper_sy[t]),e.stroke();const t=\"height\"==this.model.dimension?0:Math.PI/2;if(null!=this.model.lower_head)for(let s=0,i=this._lower_sx.length;s<i;s++)e.save(),e.translate(this._lower_sx[s],this._lower_sy[s]),e.rotate(t+Math.PI),this.model.lower_head.render(e,s),e.restore();if(null!=this.model.upper_head)for(let s=0,i=this._upper_sx.length;s<i;s++)e.save(),e.translate(this._upper_sx[s],this._upper_sy[s]),e.rotate(t),this.model.upper_head.render(e,s),e.restore()}}s.WhiskerView=h,h.__name__=\"WhiskerView\";class _ extends r.Annotation{constructor(e){super(e)}static init_Whisker(){this.prototype.default_view=h,this.mixins([\"line\"]),this.define({lower:[n.DistanceSpec],lower_head:[n.Instance,()=>new a.TeeHead({level:\"underlay\",size:10})],upper:[n.DistanceSpec],upper_head:[n.Instance,()=>new a.TeeHead({level:\"underlay\",size:10})],base:[n.DistanceSpec],dimension:[n.Dimension,\"height\"],source:[n.Instance,()=>new o.ColumnDataSource],x_range_name:[n.String,\"default\"],y_range_name:[n.String,\"default\"]}),this.override({level:\"underlay\"})}}s.Whisker=_,_.__name__=\"Whisker\",_.init_Whisker()},\n",
       "      function _(i,a,e){Object.defineProperty(e,\"__esModule\",{value:!0});var r=i(148);e.Axis=r.Axis;var s=i(150);e.CategoricalAxis=s.CategoricalAxis;var x=i(153);e.ContinuousAxis=x.ContinuousAxis;var A=i(154);e.DatetimeAxis=A.DatetimeAxis;var o=i(155);e.LinearAxis=o.LinearAxis;var t=i(168);e.LogAxis=t.LogAxis;var n=i(171);e.MercatorAxis=n.MercatorAxis},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(149),l=s.__importStar(e(19)),n=e(9),o=e(8),r=e(88),{abs:_,min:h,max:c}=Math;class m extends a.GuideRendererView{constructor(){super(...arguments),this.rotate=!0}get panel(){return this.layout}render(){if(!this.model.visible)return;const e={tick:this._tick_extent(),tick_label:this._tick_label_extents(),axis_label:this._axis_label_extent()},t=this.tick_coords,i=this.plot_view.canvas_view.ctx;i.save(),this._draw_rule(i,e),this._draw_major_ticks(i,e,t),this._draw_minor_ticks(i,e,t),this._draw_major_labels(i,e,t),this._draw_axis_label(i,e,t),null!=this._render&&this._render(i,e,t),i.restore()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint());const e=this.model.properties;this.on_change(e.visible,()=>this.plot_view.request_layout())}get_size(){if(this.model.visible&&null==this.model.fixed_location){const e=this._get_size();return{width:0,height:Math.round(e)}}return{width:0,height:0}}_get_size(){return this._tick_extent()+this._tick_label_extent()+this._axis_label_extent()}get needs_clip(){return null!=this.model.fixed_location}_draw_rule(e,t){if(!this.visuals.axis_line.doit)return;const[i,s]=this.rule_coords,[a,l]=this.plot_view.map_to_screen(i,s,this.model.x_range_name,this.model.y_range_name),[n,o]=this.normals,[r,_]=this.offsets;this.visuals.axis_line.set_value(e),e.beginPath(),e.moveTo(Math.round(a[0]+n*r),Math.round(l[0]+o*_));for(let t=1;t<a.length;t++){const i=Math.round(a[t]+n*r),s=Math.round(l[t]+o*_);e.lineTo(i,s)}e.stroke()}_draw_major_ticks(e,t,i){const s=this.model.major_tick_in,a=this.model.major_tick_out,l=this.visuals.major_tick_line;this._draw_ticks(e,i.major,s,a,l)}_draw_minor_ticks(e,t,i){const s=this.model.minor_tick_in,a=this.model.minor_tick_out,l=this.visuals.minor_tick_line;this._draw_ticks(e,i.minor,s,a,l)}_draw_major_labels(e,t,i){const s=i.major,a=this.compute_labels(s[this.dimension]),l=this.model.major_label_orientation,n=t.tick+this.model.major_label_standoff,o=this.visuals.major_label_text;this._draw_oriented_labels(e,a,s,l,this.panel.side,n,o)}_draw_axis_label(e,t,i){if(null==this.model.axis_label||0==this.model.axis_label.length||null!=this.model.fixed_location)return;let s,a;switch(this.panel.side){case\"above\":s=this.panel._hcenter.value,a=this.panel._bottom.value;break;case\"below\":s=this.panel._hcenter.value,a=this.panel._top.value;break;case\"left\":s=this.panel._right.value,a=this.panel._vcenter.value;break;case\"right\":s=this.panel._left.value,a=this.panel._vcenter.value;break;default:throw new Error(`unknown side: ${this.panel.side}`)}const l=[[s],[a]],o=t.tick+n.sum(t.tick_label)+this.model.axis_label_standoff,r=this.visuals.axis_label_text;this._draw_oriented_labels(e,[this.model.axis_label],l,\"parallel\",this.panel.side,o,r,\"screen\")}_draw_ticks(e,t,i,s,a){if(!a.doit)return;const[l,n]=t,[o,r]=this.plot_view.map_to_screen(l,n,this.model.x_range_name,this.model.y_range_name),[_,h]=this.normals,[c,m]=this.offsets,[d,u]=[_*(c-i),h*(m-i)],[b,x]=[_*(c+s),h*(m+s)];a.set_value(e);for(let t=0;t<o.length;t++){const i=Math.round(o[t]+b),s=Math.round(r[t]+x),a=Math.round(o[t]+d),l=Math.round(r[t]+u);e.beginPath(),e.moveTo(i,s),e.lineTo(a,l),e.stroke()}}_draw_oriented_labels(e,t,i,s,a,l,n,r=\"data\"){if(!n.doit||0==t.length)return;let _,h,c,m;if(\"screen\"==r)[_,h]=i,[c,m]=[0,0];else{const[e,t]=i;[_,h]=this.plot_view.map_to_screen(e,t,this.model.x_range_name,this.model.y_range_name),[c,m]=this.offsets}const[d,u]=this.normals,b=d*(c+l),x=u*(m+l);let p;n.set_value(e),this.panel.apply_label_text_heuristics(e,s),p=o.isString(s)?this.panel.get_label_angle_heuristic(s):-s;for(let i=0;i<_.length;i++){const s=Math.round(_[i]+b),a=Math.round(h[i]+x);e.translate(s,a),e.rotate(p),e.fillText(t[i],0,0),e.rotate(-p),e.translate(-s,-a)}}_axis_label_extent(){if(null==this.model.axis_label||\"\"==this.model.axis_label)return 0;const e=this.model.axis_label_standoff,t=this.visuals.axis_label_text;return this._oriented_labels_extent([this.model.axis_label],\"parallel\",this.panel.side,e,t)}_tick_extent(){return this.model.major_tick_out}_tick_label_extent(){return n.sum(this._tick_label_extents())}_tick_label_extents(){const e=this.tick_coords.major,t=this.compute_labels(e[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(t,i,this.panel.side,s,a)]}_oriented_labels_extent(e,t,i,s,a){if(0==e.length)return 0;const l=this.plot_view.canvas_view.ctx;let n,r;a.set_value(l),o.isString(t)?(n=1,r=this.panel.get_label_angle_heuristic(t)):(n=2,r=-t),r=Math.abs(r);const _=Math.cos(r),h=Math.sin(r);let c=0;for(let t=0;t<e.length;t++){const s=1.1*l.measureText(e[t]).width,a=.9*l.measureText(e[t]).ascent;let o;o=\"above\"==i||\"below\"==i?s*h+a/n*_:s*_+a/n*h,o>c&&(c=o)}return c>0&&(c+=s),c}get normals(){return this.panel.normals}get dimension(){return this.panel.dimension}compute_labels(e){const t=this.model.formatter.doFormat(e,this);for(let i=0;i<e.length;i++)e[i]in this.model.major_label_overrides&&(t[i]=this.model.major_label_overrides[e[i]]);return t}get offsets(){if(null!=this.model.fixed_location)return[0,0];const{frame:e}=this.plot_view;let[t,i]=[0,0];switch(this.panel.side){case\"below\":i=_(this.panel._top.value-e._bottom.value);break;case\"above\":i=_(this.panel._bottom.value-e._top.value);break;case\"right\":t=_(this.panel._left.value-e._right.value);break;case\"left\":t=_(this.panel._right.value-e._left.value)}return[t,i]}get ranges(){const e=this.dimension,t=(e+1)%2,{frame:i}=this.plot_view,s=[i.x_ranges[this.model.x_range_name],i.y_ranges[this.model.y_range_name]];return[s[e],s[t]]}get computed_bounds(){const[e]=this.ranges,t=this.model.bounds,i=[e.min,e.max];if(\"auto\"==t)return[e.min,e.max];if(o.isArray(t)){let e,s;const[a,l]=t,[n,o]=i;return _(a-l)>_(n-o)?(e=c(h(a,l),n),s=h(c(a,l),o)):(e=h(a,l),s=c(a,l)),[e,s]}throw new Error(`user bounds '${t}' not understood`)}get rule_coords(){const e=this.dimension,t=(e+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,l=[new Array(2),new Array(2)];return l[e][0]=Math.max(s,i.min),l[e][1]=Math.min(a,i.max),l[e][0]>l[e][1]&&(l[e][0]=l[e][1]=NaN),l[t][0]=this.loc,l[t][1]=this.loc,l}get tick_coords(){const e=this.dimension,t=(e+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,l=this.model.ticker.get_ticks(s,a,i,this.loc,{}),n=l.major,o=l.minor,r=[[],[]],_=[[],[]],[h,c]=[i.min,i.max];for(let i=0;i<n.length;i++)n[i]<h||n[i]>c||(r[e].push(n[i]),r[t].push(this.loc));for(let i=0;i<o.length;i++)o[i]<h||o[i]>c||(_[e].push(o[i]),_[t].push(this.loc));return{major:r,minor:_}}get loc(){const{fixed_location:e}=this.model;if(null!=e){if(o.isNumber(e))return e;const[,t]=this.ranges;if(t instanceof r.FactorRange)return t.synthetic(e);throw new Error(\"unexpected\")}const[,t]=this.ranges;switch(this.panel.side){case\"left\":case\"below\":return t.start;case\"right\":case\"above\":return t.end}}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box})}}i.AxisView=m,m.__name__=\"AxisView\";class d extends a.GuideRenderer{constructor(e){super(e)}static init_Axis(){this.prototype.default_view=m,this.mixins([\"line:axis_\",\"line:major_tick_\",\"line:minor_tick_\",\"text:major_label_\",\"text:axis_label_\"]),this.define({bounds:[l.Any,\"auto\"],ticker:[l.Instance],formatter:[l.Instance],x_range_name:[l.String,\"default\"],y_range_name:[l.String,\"default\"],axis_label:[l.String,\"\"],axis_label_standoff:[l.Int,5],major_label_standoff:[l.Int,5],major_label_orientation:[l.Any,\"horizontal\"],major_label_overrides:[l.Any,{}],major_tick_in:[l.Number,2],major_tick_out:[l.Number,6],minor_tick_in:[l.Number,0],minor_tick_out:[l.Number,4],fixed_location:[l.Any,null]}),this.override({axis_line_color:\"black\",major_tick_line_color:\"black\",minor_tick_line_color:\"black\",major_label_text_font_size:\"8pt\",major_label_text_align:\"center\",major_label_text_baseline:\"alphabetic\",axis_label_text_font_size:\"10pt\",axis_label_text_font_style:\"italic\"})}}i.Axis=d,d.__name__=\"Axis\",d.init_Axis()},\n",
       "      function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});const n=e(63);class i extends n.RendererView{}d.GuideRendererView=i,i.__name__=\"GuideRendererView\";class t extends n.Renderer{constructor(e){super(e)}static init_GuideRenderer(){this.override({level:\"overlay\"})}}d.GuideRenderer=t,t.__name__=\"GuideRenderer\",t.init_GuideRenderer()},\n",
       "      function _(t,s,o){Object.defineProperty(o,\"__esModule\",{value:!0});const e=t(1),i=t(148),r=t(151),a=t(152),l=e.__importStar(t(19));class _ extends i.AxisView{_render(t,s,o){this._draw_group_separators(t,s,o)}_draw_group_separators(t,s,o){const[e]=this.ranges,[i,r]=this.computed_bounds;if(!e.tops||e.tops.length<2||!this.visuals.separator_line.doit)return;const a=this.dimension,l=(a+1)%2,_=[[],[]];let n=0;for(let t=0;t<e.tops.length-1;t++){let s,o;for(let i=n;i<e.factors.length;i++)if(e.factors[i][0]==e.tops[t+1]){[s,o]=[e.factors[i-1],e.factors[i]],n=i;break}const h=(e.synthetic(s)+e.synthetic(o))/2;h>i&&h<r&&(_[a].push(h),_[l].push(this.loc))}const h=this._tick_label_extent();this._draw_ticks(t,_,-3,h-6,this.visuals.separator_line)}_draw_major_labels(t,s,o){const e=this._get_factor_info();let i=s.tick+this.model.major_label_standoff;for(let o=0;o<e.length;o++){const[r,a,l,_]=e[o];this._draw_oriented_labels(t,r,a,l,this.panel.side,i,_),i+=s.tick_label[o]}}_tick_label_extents(){const t=this._get_factor_info(),s=[];for(const[o,,e,i]of t){const t=this._oriented_labels_extent(o,e,this.panel.side,this.model.major_label_standoff,i);s.push(t)}return s}_get_factor_info(){const[t]=this.ranges,[s,o]=this.computed_bounds,e=this.loc,i=this.model.ticker.get_ticks(s,o,t,e,{}),r=this.tick_coords,a=[];if(1==t.levels){const t=i.major,s=this.model.formatter.doFormat(t,this);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text])}else if(2==t.levels){const t=i.major.map(t=>t[1]),s=this.model.formatter.doFormat(t,this);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([i.tops,r.tops,this.model.group_label_orientation,this.visuals.group_text])}else if(3==t.levels){const t=i.major.map(t=>t[2]),s=this.model.formatter.doFormat(t,this),o=i.mids.map(t=>t[1]);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([o,r.mids,this.model.subgroup_label_orientation,this.visuals.subgroup_text]),a.push([i.tops,r.tops,this.model.group_label_orientation,this.visuals.group_text])}return a}get tick_coords(){const t=this.dimension,s=(t+1)%2,[o]=this.ranges,[e,i]=this.computed_bounds,r=this.model.ticker.get_ticks(e,i,o,this.loc,{}),a={major:[[],[]],mids:[[],[]],tops:[[],[]],minor:[[],[]]};return a.major[t]=r.major,a.major[s]=r.major.map(t=>this.loc),3==o.levels&&(a.mids[t]=r.mids,a.mids[s]=r.mids.map(t=>this.loc)),o.levels>1&&(a.tops[t]=r.tops,a.tops[s]=r.tops.map(t=>this.loc)),a}}o.CategoricalAxisView=_,_.__name__=\"CategoricalAxisView\";class n extends i.Axis{constructor(t){super(t)}static init_CategoricalAxis(){this.prototype.default_view=_,this.mixins([\"line:separator_\",\"text:group_\",\"text:subgroup_\"]),this.define({group_label_orientation:[l.Any,\"parallel\"],subgroup_label_orientation:[l.Any,\"parallel\"]}),this.override({ticker:()=>new r.CategoricalTicker,formatter:()=>new a.CategoricalTickFormatter,separator_line_color:\"lightgrey\",separator_line_width:2,group_text_font_style:\"bold\",group_text_font_size:\"8pt\",group_text_color:\"grey\",subgroup_text_font_style:\"bold\",subgroup_text_font_size:\"8pt\"})}}o.CategoricalAxis=n,n.__name__=\"CategoricalAxis\",n.init_CategoricalAxis()},\n",
       "      function _(t,c,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=t(111);class s extends o.Ticker{constructor(t){super(t)}get_ticks(t,c,e,o,s){return{major:this._collect(e.factors,e,t,c),minor:[],tops:this._collect(e.tops||[],e,t,c),mids:this._collect(e.mids||[],e,t,c)}}_collect(t,c,e,o){const s=[];for(const r of t){const t=c.synthetic(r);t>e&&t<o&&s.push(r)}return s}}e.CategoricalTicker=s,s.__name__=\"CategoricalTicker\"},\n",
       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(113),c=e(9);class a extends o.TickFormatter{constructor(e){super(e)}doFormat(e,t){return c.copy(e)}}r.CategoricalTickFormatter=a,a.__name__=\"CategoricalTickFormatter\"},\n",
       "      function _(s,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=s(148);class t extends o.Axis{constructor(s){super(s)}}n.ContinuousAxis=t,t.__name__=\"ContinuousAxis\"},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(155),a=e(156),r=e(161);class n extends s.LinearAxisView{}i.DatetimeAxisView=n,n.__name__=\"DatetimeAxisView\";class _ extends s.LinearAxis{constructor(e){super(e)}static init_DatetimeAxis(){this.prototype.default_view=n,this.override({ticker:()=>new r.DatetimeTicker,formatter:()=>new a.DatetimeTickFormatter})}}i.DatetimeAxis=_,_.__name__=\"DatetimeAxis\",_.init_DatetimeAxis()},\n",
       "      function _(e,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=e(148),n=e(153),r=e(112),a=e(108);class _ extends t.AxisView{}s.LinearAxisView=_,_.__name__=\"LinearAxisView\";class c extends n.ContinuousAxis{constructor(e){super(e)}static init_LinearAxis(){this.prototype.default_view=_,this.override({ticker:()=>new a.BasicTicker,formatter:()=>new r.BasicTickFormatter})}}s.LinearAxis=c,c.__name__=\"LinearAxis\",c.init_LinearAxis()},\n",
       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=t(1),i=r.__importDefault(t(157)),n=t(113),o=t(70),a=r.__importStar(t(19)),c=t(158),m=t(9),u=t(8);function h(t){return i.default(t,\"%Y %m %d %H %M %S\").split(/\\s+/).map(t=>parseInt(t,10))}function d(t,s){if(u.isFunction(s))return s(t);{const e=c.sprintf(\"$1%06d\",function(t){return Math.round(t/1e3%1*1e6)}(t));return-1==(s=s.replace(/((^|[^%])(%%)*)%f/,e)).indexOf(\"%\")?s:i.default(t,s)}}const l=[\"microseconds\",\"milliseconds\",\"seconds\",\"minsec\",\"minutes\",\"hourmin\",\"hours\",\"days\",\"months\",\"years\"];class _ extends n.TickFormatter{constructor(t){super(t),this.strip_leading_zeros=!0}static init_DatetimeTickFormatter(){this.define({microseconds:[a.Array,[\"%fus\"]],milliseconds:[a.Array,[\"%3Nms\",\"%S.%3Ns\"]],seconds:[a.Array,[\"%Ss\"]],minsec:[a.Array,[\":%M:%S\"]],minutes:[a.Array,[\":%M\",\"%Mm\"]],hourmin:[a.Array,[\"%H:%M\"]],hours:[a.Array,[\"%Hh\",\"%H:%M\"]],days:[a.Array,[\"%m/%d\",\"%a%d\"]],months:[a.Array,[\"%m/%Y\",\"%b %Y\"]],years:[a.Array,[\"%Y\"]]})}initialize(){super.initialize(),this._update_width_formats()}_update_width_formats(){const t=+i.default(new Date),s=function(s){const e=s.map(s=>d(t,s).length),r=m.sort_by(m.zip(e,s),([t])=>t);return m.unzip(r)};this._width_formats={microseconds:s(this.microseconds),milliseconds:s(this.milliseconds),seconds:s(this.seconds),minsec:s(this.minsec),minutes:s(this.minutes),hourmin:s(this.hourmin),hours:s(this.hours),days:s(this.days),months:s(this.months),years:s(this.years)}}_get_resolution_str(t,s){const e=1.1*t;switch(!1){case!(e<.001):return\"microseconds\";case!(e<1):return\"milliseconds\";case!(e<60):return s>=60?\"minsec\":\"seconds\";case!(e<3600):return s>=3600?\"hourmin\":\"minutes\";case!(e<86400):return\"hours\";case!(e<2678400):return\"days\";case!(e<31536e3):return\"months\";default:return\"years\"}}doFormat(t,s){if(0==t.length)return[];const e=Math.abs(t[t.length-1]-t[0])/1e3,r=e/(t.length-1),i=this._get_resolution_str(r,e),[,[n]]=this._width_formats[i],a=[],c=l.indexOf(i),m={};for(const t of l)m[t]=0;m.seconds=5,m.minsec=4,m.minutes=4,m.hourmin=3,m.hours=3;for(const s of t){let t,e;try{e=h(s),t=d(s,n)}catch(t){o.logger.warn(`unable to format tick for timestamp value ${s}`),o.logger.warn(` - ${t}`),a.push(\"ERR\");continue}let r=!1,u=c;for(;0==e[m[l[u]]];){let n;if(u+=1,u==l.length)break;if((\"minsec\"==i||\"hourmin\"==i)&&!r){if(\"minsec\"==i&&0==e[4]&&0!=e[5]||\"hourmin\"==i&&0==e[3]&&0!=e[4]){n=this._width_formats[l[c-1]][1][0],t=d(s,n);break}r=!0}n=this._width_formats[l[u]][1][0],t=d(s,n)}if(this.strip_leading_zeros){let s=t.replace(/^0+/g,\"\");s!=t&&isNaN(parseInt(s))&&(s=`0${s}`),a.push(s)}else a.push(t)}return a}}e.DatetimeTickFormatter=_,_.__name__=\"DatetimeTickFormatter\",_.init_DatetimeTickFormatter()},\n",
       "      function _(e,t,n){!function(e){\"object\"==typeof t&&t.exports?t.exports=e():\"function\"==typeof define?define(e):this.tz=e()}((function(){function e(e,t,n){var r,o=t.day[1];do{r=new Date(Date.UTC(n,t.month,Math.abs(o++)))}while(t.day[0]<7&&r.getUTCDay()!=t.day[0]);return(r={clock:t.clock,sort:r.getTime(),rule:t,save:6e4*t.save,offset:e.offset})[r.clock]=r.sort+6e4*t.time,r.posix?r.wallclock=r[r.clock]+(e.offset+t.saved):r.posix=r[r.clock]-(e.offset+t.saved),r}function t(t,n,r){var o,a,u,i,l,s,c,f=t[t.zone],h=[],T=new Date(r).getUTCFullYear(),g=1;for(o=1,a=f.length;o<a&&!(f[o][n]<=r);o++);if((u=f[o]).rules){for(s=t[u.rules],c=T+1;c>=T-g;--c)for(o=0,a=s.length;o<a;o++)s[o].from<=c&&c<=s[o].to?h.push(e(u,s[o],c)):s[o].to<c&&1==g&&(g=c-s[o].to);for(h.sort((function(e,t){return e.sort-t.sort})),o=0,a=h.length;o<a;o++)r>=h[o][n]&&h[o][h[o].clock]>u[h[o].clock]&&(i=h[o])}return i&&((l=/^(.*)\\/(.*)$/.exec(u.format))?i.abbrev=l[i.save?2:1]:i.abbrev=u.format.replace(/%s/,i.rule.letter)),i||u}function n(e,n){return\"UTC\"==e.zone?n:(e.entry=t(e,\"posix\",n),n+e.entry.offset+e.entry.save)}function r(e,n){return\"UTC\"==e.zone?n:(e.entry=r=t(e,\"wallclock\",n),0<(o=n-r.wallclock)&&o<r.save?null:n-r.offset-r.save);var r,o}function o(e,t,o){var a,i=+(o[1]+1),s=o[2]*i,c=u.indexOf(o[3].toLowerCase());if(c>9)t+=s*l[c-10];else{if(a=new Date(n(e,t)),c<7)for(;s;)a.setUTCDate(a.getUTCDate()+i),a.getUTCDay()==c&&(s-=i);else 7==c?a.setUTCFullYear(a.getUTCFullYear()+s):8==c?a.setUTCMonth(a.getUTCMonth()+s):a.setUTCDate(a.getUTCDate()+s);null==(t=r(e,a.getTime()))&&(t=r(e,a.getTime()+864e5*i)-864e5*i)}return t}var a={clock:function(){return+new Date},zone:\"UTC\",entry:{abbrev:\"UTC\",offset:0,save:0},UTC:1,z:function(e,t,n,r){var o,a,u=this.entry.offset+this.entry.save,i=Math.abs(u/1e3),l=[],s=3600;for(o=0;o<3;o++)l.push((\"0\"+Math.floor(i/s)).slice(-2)),i%=s,s/=60;return\"^\"!=n||u?(\"^\"==n&&(r=3),3==r?(a=(a=l.join(\":\")).replace(/:00$/,\"\"),\"^\"!=n&&(a=a.replace(/:00$/,\"\"))):r?(a=l.slice(0,r+1).join(\":\"),\"^\"==n&&(a=a.replace(/:00$/,\"\"))):a=l.slice(0,2).join(\"\"),a=(a=(u<0?\"-\":\"+\")+a).replace(/([-+])(0)/,{_:\" $1\",\"-\":\"$1\"}[n]||\"$1$2\")):\"Z\"},\"%\":function(e){return\"%\"},n:function(e){return\"\\n\"},t:function(e){return\"\\t\"},U:function(e){return s(e,0)},W:function(e){return s(e,1)},V:function(e){return c(e)[0]},G:function(e){return c(e)[1]},g:function(e){return c(e)[1]%100},j:function(e){return Math.floor((e.getTime()-Date.UTC(e.getUTCFullYear(),0))/864e5)+1},s:function(e){return Math.floor(e.getTime()/1e3)},C:function(e){return Math.floor(e.getUTCFullYear()/100)},N:function(e){return e.getTime()%1e3*1e6},m:function(e){return e.getUTCMonth()+1},Y:function(e){return e.getUTCFullYear()},y:function(e){return e.getUTCFullYear()%100},H:function(e){return e.getUTCHours()},M:function(e){return e.getUTCMinutes()},S:function(e){return e.getUTCSeconds()},e:function(e){return e.getUTCDate()},d:function(e){return e.getUTCDate()},u:function(e){return e.getUTCDay()||7},w:function(e){return e.getUTCDay()},l:function(e){return e.getUTCHours()%12||12},I:function(e){return e.getUTCHours()%12||12},k:function(e){return e.getUTCHours()},Z:function(e){return this.entry.abbrev},a:function(e){return this[this.locale].day.abbrev[e.getUTCDay()]},A:function(e){return this[this.locale].day.full[e.getUTCDay()]},h:function(e){return this[this.locale].month.abbrev[e.getUTCMonth()]},b:function(e){return this[this.locale].month.abbrev[e.getUTCMonth()]},B:function(e){return this[this.locale].month.full[e.getUTCMonth()]},P:function(e){return this[this.locale].meridiem[Math.floor(e.getUTCHours()/12)].toLowerCase()},p:function(e){return this[this.locale].meridiem[Math.floor(e.getUTCHours()/12)]},R:function(e,t){return this.convert([t,\"%H:%M\"])},T:function(e,t){return this.convert([t,\"%H:%M:%S\"])},D:function(e,t){return this.convert([t,\"%m/%d/%y\"])},F:function(e,t){return this.convert([t,\"%Y-%m-%d\"])},x:function(e,t){return this.convert([t,this[this.locale].date])},r:function(e,t){return this.convert([t,this[this.locale].time12||\"%I:%M:%S\"])},X:function(e,t){return this.convert([t,this[this.locale].time24])},c:function(e,t){return this.convert([t,this[this.locale].dateTime])},convert:function(e){if(!e.length)return\"1.0.23\";var t,a,u,l,s,c=Object.create(this),f=[];for(t=0;t<e.length;t++)if(l=e[t],Array.isArray(l))t||isNaN(l[1])?l.splice.apply(e,[t--,1].concat(l)):s=l;else if(isNaN(l)){if(\"string\"==(u=typeof 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Date(n(c,s)),c.format.replace(/%([-0_^]?)(:{0,3})(\\d*)(.)/g,(function(e,t,n,r,o){var a,i,l=\"0\";if(a=c[o]){for(e=String(a.call(c,u,s,t,n.length)),\"_\"==(t||a.style)&&(l=\" \"),i=\"-\"==t?0:a.pad||0;e.length<i;)e=l+e;for(i=\"-\"==t?0:r||a.pad;e.length<i;)e=l+e;\"N\"==o&&i<e.length&&(e=e.slice(0,i)),\"^\"==t&&(e=e.toUpperCase())}return e}))):s}}return function(){return c.convert(arguments)}},locale:\"en_US\",en_US:{date:\"%m/%d/%Y\",time24:\"%I:%M:%S %p\",time12:\"%I:%M:%S %p\",dateTime:\"%a %d %b %Y %I:%M:%S %p %Z\",meridiem:[\"AM\",\"PM\"],month:{abbrev:\"Jan|Feb|Mar|Apr|May|Jun|Jul|Aug|Sep|Oct|Nov|Dec\".split(\"|\"),full:\"January|February|March|April|May|June|July|August|September|October|November|December\".split(\"|\")},day:{abbrev:\"Sun|Mon|Tue|Wed|Thu|Fri|Sat\".split(\"|\"),full:\"Sunday|Monday|Tuesday|Wednesday|Thursday|Friday|Saturday\".split(\"|\")}}},u=\"Sunday|Monday|Tuesday|Wednesday|Thursday|Friday|Saturday|year|month|day|hour|minute|second|millisecond\",i=new RegExp(\"^\\\\s*([+-])(\\\\d+)\\\\s+(\"+u+\")s?\\\\s*$\",\"i\"),l=[36e5,6e4,1e3,1];function s(e,t){var n,r,o;return r=new Date(Date.UTC(e.getUTCFullYear(),0)),n=Math.floor((e.getTime()-r.getTime())/864e5),r.getUTCDay()==t?o=0:8==(o=7-r.getUTCDay()+t)&&(o=1),n>=o?Math.floor((n-o)/7)+1:0}function c(e){var t,n,r;return n=e.getUTCFullYear(),t=new Date(Date.UTC(n,0)).getUTCDay(),(r=s(e,1)+(t>1&&t<=4?1:0))?53!=r||4==t||3==t&&29==new Date(n,1,29).getDate()?[r,e.getUTCFullYear()]:[1,e.getUTCFullYear()+1]:(n=e.getUTCFullYear()-1,[r=4==(t=new Date(Date.UTC(n,0)).getUTCDay())||3==t&&29==new Date(n,1,29).getDate()?53:52,e.getUTCFullYear()-1])}return u=u.toLowerCase().split(\"|\"),\"delmHMSUWVgCIky\".replace(/./g,(function(e){a[e].pad=2})),a.N.pad=9,a.j.pad=3,a.k.style=\"_\",a.l.style=\"_\",a.e.style=\"_\",function(){return a.convert(arguments)}}))},\n",
       "      function _(r,n,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=r(1),i=t.__importStar(r(159)),u=r(160),a=t.__importDefault(r(157)),f=r(25),o=r(8);function l(r,...n){return u.sprintf(r,...n)}function s(r,n,e){if(o.isNumber(r)){return l((()=>{switch(!1){case Math.floor(r)!=r:return\"%d\";case!(Math.abs(r)>.1&&Math.abs(r)<1e3):return\"%0.3f\";default:return\"%0.3e\"}})(),r)}return`${r}`}function c(r,n,t){if(null==n)return s;if(null!=t&&r in t){const n=t[r];if(o.isString(n)){if(n in e.DEFAULT_FORMATTERS)return e.DEFAULT_FORMATTERS[n];throw new Error(`Unknown tooltip field formatter type '${n}'`)}return function(r,e,t){return n.format(r,e,t)}}return e.DEFAULT_FORMATTERS.numeral}function m(r,n,e,t){if(\"$\"==r[0]){return function(r,n){if(r in n)return n[r];throw new Error(`Unknown special variable '$${r}'`)}(r.substring(1),t)}return function(r,n,e){const t=n.get_column(r);if(null==t)return null;if(o.isNumber(e))return t[e];const i=t[e.index];if(o.isTypedArray(i)||o.isArray(i)){if(o.isArray(i[0])){return i[e.dim2][e.dim1]}return i[e.flat_index]}return i}(r.substring(1).replace(/[{}]/g,\"\"),n,e)}e.DEFAULT_FORMATTERS={numeral:(r,n,e)=>i.format(r,n),datetime:(r,n,e)=>a.default(r,n),printf:(r,n,e)=>l(n,r)},e.sprintf=l,e.basic_formatter=s,e.get_formatter=c,e.get_value=m,e.replace_placeholders=function(r,n,e,t,i={}){return r=(r=r.replace(/@\\$name/g,r=>`@{${i.name}}`)).replace(/((?:\\$\\w+)|(?:@\\w+)|(?:@{(?:[^{}]+)}))(?:{([^{}]+)})?/g,(r,u,a)=>{const o=m(u,n,e,i);if(null==o)return`${f.escape(\"???\")}`;if(\"safe\"==a)return`${o}`;const l=c(u,a,t);return`${f.escape(l(o,a,i))}`})}},\n",
       "      function _(e,n,t){\n",
       "      /*!\n",
       "           * numbro.js\n",
       "           * version : 1.6.2\n",
       "           * author : Företagsplatsen AB\n",
       "           * license : MIT\n",
       "           * http://www.foretagsplatsen.se\n",
       "           */\n",
       "      var r,i={},a=i,o=\"en-US\",l=null,u=\"0,0\";void 0!==n&&n.exports;function c(e){this._value=e}function s(e){var n,t=\"\";for(n=0;n<e;n++)t+=\"0\";return t}function f(e,n,t,r){var i,a,o=Math.pow(10,n);return a=e.toFixed(0).search(\"e\")>-1?function(e,n){var t,r,i,a;return t=(a=e.toString()).split(\"e\")[0],i=a.split(\"e\")[1],a=t.split(\".\")[0]+(r=t.split(\".\")[1]||\"\")+s(i-r.length),n>0&&(a+=\".\"+s(n)),a}(e,n):(t(e*o)/o).toFixed(n),r&&(i=new RegExp(\"0{1,\"+r+\"}$\"),a=a.replace(i,\"\")),a}function d(e,n,t){return n.indexOf(\"$\")>-1?function(e,n,t){var r,a,l=n,u=l.indexOf(\"$\"),c=l.indexOf(\"(\"),s=l.indexOf(\"+\"),f=l.indexOf(\"-\"),d=\"\",p=\"\";-1===l.indexOf(\"$\")?\"infix\"===i[o].currency.position?(p=i[o].currency.symbol,i[o].currency.spaceSeparated&&(p=\" \"+p+\" \")):i[o].currency.spaceSeparated&&(d=\" \"):l.indexOf(\" $\")>-1?(d=\" \",l=l.replace(\" $\",\"\")):l.indexOf(\"$ \")>-1?(d=\" \",l=l.replace(\"$ 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w=\"\";if(v=null===($=-1===n.indexOf(\".\")?n.match(/([0-9]+).*/):n.match(/([0-9]+)\\..*/))?-1:$[1].length,-1!==n.indexOf(\"-\")&&(P=!0),n.indexOf(\"(\")>-1?(B=!0,n=n.slice(1,-1)):n.indexOf(\"+\")>-1&&(E=!0,n=n.replace(/\\+/g,\"\")),n.indexOf(\"a\")>-1){if(g=n.split(\".\")[0].match(/[0-9]+/g)||[\"0\"],g=parseInt(g[0],10),U=n.indexOf(\"aK\")>=0,N=n.indexOf(\"aM\")>=0,S=n.indexOf(\"aB\")>=0,j=n.indexOf(\"aT\")>=0,D=U||N||S||j,n.indexOf(\" a\")>-1?(k=\" \",n=n.replace(\" 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Array(v-x.length+1).join(\"0\")+x),y>-1&&(x=x.toString().replace(/(\\d)(?=(\\d{3})+(?!\\d))/g,\"$1\"+i[o].delimiters.thousands)),0===n.indexOf(\".\")&&(x=\"\"),b+(n.indexOf(\"(\")<n.indexOf(\"-\")?(B&&R?\"(\":\"\")+(P&&R||!B&&R?\"-\":\"\"):(P&&R||!B&&R?\"-\":\"\")+(B&&R?\"(\":\"\"))+(!R&&E&&0!==e?\"+\":\"\")+x+I+(L||\"\")+(k&&!r?k:\"\")+(C||\"\")+(B&&R?\")\":\"\")+w}function p(e,n){i[e]=n}function m(e){o=e;var n=i[e].defaults;n&&n.format&&r.defaultFormat(n.format),n&&n.currencyFormat&&r.defaultCurrencyFormat(n.currencyFormat)}(r=function(e){return r.isNumbro(e)?e=e.value():0===e||void 0===e?e=0:Number(e)||(e=r.fn.unformat(e)),new c(Number(e))}).version=\"1.6.2\",r.isNumbro=function(e){return e instanceof c},r.setLanguage=function(e,n){console.warn(\"`setLanguage` is deprecated since version 1.6.0. Use `setCulture` instead\");var t=e,r=e.split(\"-\")[0],i=null;a[t]||(Object.keys(a).forEach((function(e){i||e.split(\"-\")[0]!==r||(i=e)})),t=i||n||\"en-US\"),m(t)},r.setCulture=function(e,n){var t=e,r=e.split(\"-\")[1],a=null;i[t]||(r&&Object.keys(i).forEach((function(e){a||e.split(\"-\")[1]!==r||(a=e)})),t=a||n||\"en-US\"),m(t)},r.language=function(e,n){if(console.warn(\"`language` is deprecated since version 1.6.0. Use `culture` instead\"),!e)return o;if(e&&!n){if(!a[e])throw new Error(\"Unknown language : \"+e);m(e)}return!n&&a[e]||p(e,n),r},r.culture=function(e,n){if(!e)return o;if(e&&!n){if(!i[e])throw new Error(\"Unknown culture : \"+e);m(e)}return!n&&i[e]||p(e,n),r},r.languageData=function(e){if(console.warn(\"`languageData` is deprecated since version 1.6.0. Use `cultureData` instead\"),!e)return a[o];if(!a[e])throw new Error(\"Unknown language : \"+e);return a[e]},r.cultureData=function(e){if(!e)return i[o];if(!i[e])throw new Error(\"Unknown culture : \"+e);return i[e]},r.culture(\"en-US\",{delimiters:{thousands:\",\",decimal:\".\"},abbreviations:{thousand:\"k\",million:\"m\",billion:\"b\",trillion:\"t\"},ordinal:function(e){var n=e%10;return 1==~~(e%100/10)?\"th\":1===n?\"st\":2===n?\"nd\":3===n?\"rd\":\"th\"},currency:{symbol:\"$\",position:\"prefix\"},defaults:{currencyFormat:\",0000 a\"},formats:{fourDigits:\"0000 a\",fullWithTwoDecimals:\"$ ,0.00\",fullWithTwoDecimalsNoCurrency:\",0.00\"}}),r.languages=function(){return console.warn(\"`languages` is deprecated since version 1.6.0. Use `cultures` instead\"),a},r.cultures=function(){return i},r.zeroFormat=function(e){l=\"string\"==typeof e?e:null},r.defaultFormat=function(e){u=\"string\"==typeof e?e:\"0.0\"},r.defaultCurrencyFormat=function(e){\"string\"==typeof e?e:\"0$\"},r.validate=function(e,n){var t,i,a,o,l,u,c,s;if(\"string\"!=typeof e&&(e+=\"\",console.warn&&console.warn(\"Numbro.js: Value is not string. It has been co-erced to: \",e)),(e=e.trim()).match(/^\\d+$/))return!0;if(\"\"===e)return!1;try{c=r.cultureData(n)}catch(e){c=r.cultureData(r.culture())}return a=c.currency.symbol,l=c.abbreviations,t=c.delimiters.decimal,i=\".\"===c.delimiters.thousands?\"\\\\.\":c.delimiters.thousands,(null===(s=e.match(/^[^\\d]+/))||(e=e.substr(1),s[0]===a))&&((null===(s=e.match(/[^\\d]+$/))||(e=e.slice(0,-1),s[0]===l.thousand||s[0]===l.million||s[0]===l.billion||s[0]===l.trillion))&&(u=new RegExp(i+\"{2}\"),!e.match(/[^\\d.,]/g)&&(!((o=e.split(t)).length>2)&&(o.length<2?!!o[0].match(/^\\d+.*\\d$/)&&!o[0].match(u):1===o[0].length?!!o[0].match(/^\\d+$/)&&!o[0].match(u)&&!!o[1].match(/^\\d+$/):!!o[0].match(/^\\d+.*\\d$/)&&!o[0].match(u)&&!!o[1].match(/^\\d+$/)))))},n.exports={format:function(e,n,t,i){return null!=t&&t!==r.culture()&&r.setCulture(t),d(Number(e),null!=n?n:u,null==i?Math.round:i)}}},\n",
       "      function _(e,n,t){!function(){\"use strict\";var e={not_string:/[^s]/,not_bool:/[^t]/,not_type:/[^T]/,not_primitive:/[^v]/,number:/[diefg]/,numeric_arg:/[bcdiefguxX]/,json:/[j]/,not_json:/[^j]/,text:/^[^\\x25]+/,modulo:/^\\x25{2}/,placeholder:/^\\x25(?:([1-9]\\d*)\\$|\\(([^)]+)\\))?(\\+)?(0|'[^$])?(-)?(\\d+)?(?:\\.(\\d+))?([b-gijostTuvxX])/,key:/^([a-z_][a-z_\\d]*)/i,key_access:/^\\.([a-z_][a-z_\\d]*)/i,index_access:/^\\[(\\d+)\\]/,sign:/^[+-]/};function n(e){return i(a(e),arguments)}function r(e,t){return n.apply(null,[e].concat(t||[]))}function i(t,r){var i,s,a,o,p,c,l,u,f,d=1,g=t.length,y=\"\";for(s=0;s<g;s++)if(\"string\"==typeof t[s])y+=t[s];else if(\"object\"==typeof t[s]){if((o=t[s]).keys)for(i=r[d],a=0;a<o.keys.length;a++){if(null==i)throw new Error(n('[sprintf] Cannot access property \"%s\" of undefined value \"%s\"',o.keys[a],o.keys[a-1]));i=i[o.keys[a]]}else i=o.param_no?r[o.param_no]:r[d++];if(e.not_type.test(o.type)&&e.not_primitive.test(o.type)&&i instanceof Function&&(i=i()),e.numeric_arg.test(o.type)&&\"number\"!=typeof i&&isNaN(i))throw new TypeError(n(\"[sprintf] expecting number but found %T\",i));switch(e.number.test(o.type)&&(u=i>=0),o.type){case\"b\":i=parseInt(i,10).toString(2);break;case\"c\":i=String.fromCharCode(parseInt(i,10));break;case\"d\":case\"i\":i=parseInt(i,10);break;case\"j\":i=JSON.stringify(i,null,o.width?parseInt(o.width):0);break;case\"e\":i=o.precision?parseFloat(i).toExponential(o.precision):parseFloat(i).toExponential();break;case\"f\":i=o.precision?parseFloat(i).toFixed(o.precision):parseFloat(i);break;case\"g\":i=o.precision?String(Number(i.toPrecision(o.precision))):parseFloat(i);break;case\"o\":i=(parseInt(i,10)>>>0).toString(8);break;case\"s\":i=String(i),i=o.precision?i.substring(0,o.precision):i;break;case\"t\":i=String(!!i),i=o.precision?i.substring(0,o.precision):i;break;case\"T\":i=Object.prototype.toString.call(i).slice(8,-1).toLowerCase(),i=o.precision?i.substring(0,o.precision):i;break;case\"u\":i=parseInt(i,10)>>>0;break;case\"v\":i=i.valueOf(),i=o.precision?i.substring(0,o.precision):i;break;case\"x\":i=(parseInt(i,10)>>>0).toString(16);break;case\"X\":i=(parseInt(i,10)>>>0).toString(16).toUpperCase()}e.json.test(o.type)?y+=i:(!e.number.test(o.type)||u&&!o.sign?f=\"\":(f=u?\"+\":\"-\",i=i.toString().replace(e.sign,\"\")),c=o.pad_char?\"0\"===o.pad_char?\"0\":o.pad_char.charAt(1):\" \",l=o.width-(f+i).length,p=o.width&&l>0?c.repeat(l):\"\",y+=o.align?f+i+p:\"0\"===c?f+p+i:p+f+i)}return y}var s=Object.create(null);function a(n){if(s[n])return s[n];for(var t,r=n,i=[],a=0;r;){if(null!==(t=e.text.exec(r)))i.push(t[0]);else if(null!==(t=e.modulo.exec(r)))i.push(\"%\");else{if(null===(t=e.placeholder.exec(r)))throw new SyntaxError(\"[sprintf] unexpected placeholder\");if(t[2]){a|=1;var o=[],p=t[2],c=[];if(null===(c=e.key.exec(p)))throw new SyntaxError(\"[sprintf] failed to parse named argument key\");for(o.push(c[1]);\"\"!==(p=p.substring(c[0].length));)if(null!==(c=e.key_access.exec(p)))o.push(c[1]);else{if(null===(c=e.index_access.exec(p)))throw new SyntaxError(\"[sprintf] failed to parse named argument key\");o.push(c[1])}t[2]=o}else a|=2;if(3===a)throw new Error(\"[sprintf] mixing positional and named placeholders is not (yet) supported\");i.push({placeholder:t[0],param_no:t[1],keys:t[2],sign:t[3],pad_char:t[4],align:t[5],width:t[6],precision:t[7],type:t[8]})}r=r.substring(t[0].length)}return s[n]=i}void 0!==t&&(t.sprintf=n,t.vsprintf=r),\"undefined\"!=typeof window&&(window.sprintf=n,window.vsprintf=r,\"function\"==typeof define&&define.amd&&define((function(){return{sprintf:n,vsprintf:r}})))}()},\n",
       "      function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(9),a=e(109),s=e(162),r=e(163),c=e(166),_=e(167),m=e(165);class k extends s.CompositeTicker{constructor(e){super(e)}static init_DatetimeTicker(){this.override({num_minor_ticks:0,tickers:()=>[new a.AdaptiveTicker({mantissas:[1,2,5],base:10,min_interval:0,max_interval:500*m.ONE_MILLI,num_minor_ticks:0}),new a.AdaptiveTicker({mantissas:[1,2,5,10,15,20,30],base:60,min_interval:m.ONE_SECOND,max_interval:30*m.ONE_MINUTE,num_minor_ticks:0}),new a.AdaptiveTicker({mantissas:[1,2,4,6,8,12],base:24,min_interval:m.ONE_HOUR,max_interval:12*m.ONE_HOUR,num_minor_ticks:0}),new r.DaysTicker({days:t.range(1,32)}),new r.DaysTicker({days:t.range(1,31,3)}),new r.DaysTicker({days:[1,8,15,22]}),new r.DaysTicker({days:[1,15]}),new c.MonthsTicker({months:t.range(0,12,1)}),new c.MonthsTicker({months:t.range(0,12,2)}),new c.MonthsTicker({months:t.range(0,12,4)}),new c.MonthsTicker({months:t.range(0,12,6)}),new _.YearsTicker({})]})}}n.DatetimeTicker=k,k.__name__=\"DatetimeTicker\",k.init_DatetimeTicker()},\n",
       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=t(1),s=t(110),n=r.__importStar(t(19)),_=t(9),a=t(23);class c extends s.ContinuousTicker{constructor(t){super(t)}static init_CompositeTicker(){this.define({tickers:[n.Array,[]]})}get min_intervals(){return this.tickers.map(t=>t.get_min_interval())}get max_intervals(){return this.tickers.map(t=>t.get_max_interval())}get min_interval(){return this.min_intervals[0]}get max_interval(){return this.max_intervals[0]}get_best_ticker(t,e,i){const r=e-t,s=this.get_ideal_interval(t,e,i),n=[_.sorted_index(this.min_intervals,s)-1,_.sorted_index(this.max_intervals,s)],c=[this.min_intervals[n[0]],this.max_intervals[n[1]]].map(t=>Math.abs(i-r/t));let l;if(a.isEmpty(c.filter(t=>!isNaN(t))))l=this.tickers[0];else{const t=n[_.argmin(c)];l=this.tickers[t]}return l}get_interval(t,e,i){return this.get_best_ticker(t,e,i).get_interval(t,e,i)}get_ticks_no_defaults(t,e,i,r){return this.get_best_ticker(t,e,r).get_ticks_no_defaults(t,e,i,r)}}i.CompositeTicker=c,c.__name__=\"CompositeTicker\",c.init_CompositeTicker()},\n",
       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),s=t(164),a=t(165),o=i.__importStar(t(19)),r=t(9);class _ extends s.SingleIntervalTicker{constructor(t){super(t)}static init_DaysTicker(){this.define({days:[o.Array,[]]}),this.override({num_minor_ticks:0})}initialize(){super.initialize();const t=this.days;t.length>1?this.interval=(t[1]-t[0])*a.ONE_DAY:this.interval=31*a.ONE_DAY}get_ticks_no_defaults(t,e,n,i){const s=function(t,e){const n=a.last_month_no_later_than(new Date(t)),i=a.last_month_no_later_than(new Date(e));i.setUTCMonth(i.getUTCMonth()+1);const s=[],o=n;for(;s.push(a.copy_date(o)),o.setUTCMonth(o.getUTCMonth()+1),!(o>i););return s}(t,e),o=this.days,_=this.interval;return{major:r.concat(s.map(t=>((t,e)=>{const n=t.getUTCMonth(),i=[];for(const s of o){const o=a.copy_date(t);o.setUTCDate(s),new Date(o.getTime()+e/2).getUTCMonth()==n&&i.push(o)}return i})(t,_))).map(t=>t.getTime()).filter(n=>t<=n&&n<=e),minor:[]}}}n.DaysTicker=_,_.__name__=\"DaysTicker\",_.init_DaysTicker()},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),r=e(110),l=n.__importStar(e(19));class a extends r.ContinuousTicker{constructor(e){super(e)}static init_SingleIntervalTicker(){this.define({interval:[l.Number]})}get_interval(e,t,i){return this.interval}get min_interval(){return this.interval}get max_interval(){return this.interval}}i.SingleIntervalTicker=a,a.__name__=\"SingleIntervalTicker\",a.init_SingleIntervalTicker()},\n",
       "      function _(t,e,n){function _(t){return new Date(t.getTime())}function O(t){const e=_(t);return e.setUTCDate(1),e.setUTCHours(0),e.setUTCMinutes(0),e.setUTCSeconds(0),e.setUTCMilliseconds(0),e}Object.defineProperty(n,\"__esModule\",{value:!0}),n.ONE_MILLI=1,n.ONE_SECOND=1e3,n.ONE_MINUTE=60*n.ONE_SECOND,n.ONE_HOUR=60*n.ONE_MINUTE,n.ONE_DAY=24*n.ONE_HOUR,n.ONE_MONTH=30*n.ONE_DAY,n.ONE_YEAR=365*n.ONE_DAY,n.copy_date=_,n.last_month_no_later_than=O,n.last_year_no_later_than=function(t){const e=O(t);return e.setUTCMonth(0),e}},\n",
       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),i=t(164),s=t(165),a=r.__importStar(t(19)),o=t(9);class _ extends i.SingleIntervalTicker{constructor(t){super(t)}static init_MonthsTicker(){this.define({months:[a.Array,[]]})}initialize(){super.initialize();const t=this.months;t.length>1?this.interval=(t[1]-t[0])*s.ONE_MONTH:this.interval=12*s.ONE_MONTH}get_ticks_no_defaults(t,e,n,r){const i=function(t,e){const n=s.last_year_no_later_than(new Date(t)),r=s.last_year_no_later_than(new Date(e));r.setUTCFullYear(r.getUTCFullYear()+1);const i=[],a=n;for(;i.push(s.copy_date(a)),a.setUTCFullYear(a.getUTCFullYear()+1),!(a>r););return i}(t,e),a=this.months;return{major:o.concat(i.map(t=>a.map(e=>{const n=s.copy_date(t);return n.setUTCMonth(e),n}))).map(t=>t.getTime()).filter(n=>t<=n&&n<=e),minor:[]}}}n.MonthsTicker=_,_.__name__=\"MonthsTicker\",_.init_MonthsTicker()},\n",
       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(108),r=e(164),n=e(165);class _ extends r.SingleIntervalTicker{constructor(e){super(e)}initialize(){super.initialize(),this.interval=n.ONE_YEAR,this.basic_ticker=new i.BasicTicker({num_minor_ticks:0})}get_ticks_no_defaults(e,t,a,i){const r=n.last_year_no_later_than(new Date(e)).getUTCFullYear(),_=n.last_year_no_later_than(new Date(t)).getUTCFullYear();return{major:this.basic_ticker.get_ticks_no_defaults(r,_,a,i).major.map(e=>Date.UTC(e,0,1)).filter(a=>e<=a&&a<=t),minor:[]}}}a.YearsTicker=_,_.__name__=\"YearsTicker\"},\n",
       "      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(148),o=e(153),n=e(169),r=e(170);class _ extends s.AxisView{}t.LogAxisView=_,_.__name__=\"LogAxisView\";class c extends o.ContinuousAxis{constructor(e){super(e)}static init_LogAxis(){this.prototype.default_view=_,this.override({ticker:()=>new r.LogTicker,formatter:()=>new n.LogTickFormatter})}}t.LogAxis=c,c.__name__=\"LogAxis\",c.init_LogAxis()},\n",
       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=t(1),o=t(113),a=t(112),n=i.__importStar(t(19));class c extends o.TickFormatter{constructor(t){super(t)}static init_LogTickFormatter(){this.define({ticker:[n.Instance,null]})}initialize(){super.initialize(),this.basic_formatter=new a.BasicTickFormatter}doFormat(t,e){if(0==t.length)return[];const r=null!=this.ticker?this.ticker.base:10;let i=!1;const o=new Array(t.length);for(let e=0,a=t.length;e<a;e++)if(o[e]=`${r}^${Math.round(Math.log(t[e])/Math.log(r))}`,e>0&&o[e]==o[e-1]){i=!0;break}return i?this.basic_formatter.doFormat(t,e):o}}r.LogTickFormatter=c,c.__name__=\"LogTickFormatter\",c.init_LogTickFormatter()},\n",
       "      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(109),s=t(9);class n extends i.AdaptiveTicker{constructor(t){super(t)}static init_LogTicker(){this.override({mantissas:[1,5]})}get_ticks_no_defaults(t,o,e,i){const n=this.num_minor_ticks,r=[],a=this.base,c=Math.log(t)/Math.log(a),f=Math.log(o)/Math.log(a),l=f-c;let h;if(isFinite(l))if(l<2){const e=this.get_interval(t,o,i),a=Math.floor(t/e),c=Math.ceil(o/e);if(h=s.range(a,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=s.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=s.range(t-1,o+1,e).map(t=>Math.pow(a,t)),n>0&&h.length>0){const t=Math.pow(a,e)/n,o=s.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=n,n.__name__=\"LogTicker\",n.init_LogTicker()},\n",
       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(148),s=e(155),o=e(172),a=e(173);class c extends i.AxisView{}r.MercatorAxisView=c,c.__name__=\"MercatorAxisView\";class n extends s.LinearAxis{constructor(e){super(e)}static init_MercatorAxis(){this.prototype.default_view=c,this.override({ticker:()=>new a.MercatorTicker({dimension:\"lat\"}),formatter:()=>new o.MercatorTickFormatter({dimension:\"lat\"})})}}r.MercatorAxis=n,n.__name__=\"MercatorAxis\",n.init_MercatorAxis()},\n",
       "      function _(r,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=r(1),n=r(112),i=o.__importStar(r(19)),c=r(30);class s extends n.BasicTickFormatter{constructor(r){super(r)}static init_MercatorTickFormatter(){this.define({dimension:[i.LatLon]})}doFormat(r,t){if(null==this.dimension)throw new Error(\"MercatorTickFormatter.dimension not configured\");if(0==r.length)return[];const e=r.length,o=new Array(e);if(\"lon\"==this.dimension)for(let n=0;n<e;n++){const[e]=c.wgs84_mercator.inverse([r[n],t.loc]);o[n]=e}else for(let n=0;n<e;n++){const[,e]=c.wgs84_mercator.inverse([t.loc,r[n]]);o[n]=e}return super.doFormat(o,t)}}e.MercatorTickFormatter=s,s.__name__=\"MercatorTickFormatter\",s.init_MercatorTickFormatter()},\n",
       "      function _(r,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=r(1),s=r(108),i=n.__importStar(r(19)),t=r(30);class c extends s.BasicTicker{constructor(r){super(r)}static init_MercatorTicker(){this.define({dimension:[i.LatLon]})}get_ticks_no_defaults(r,o,e,n){if(null==this.dimension)throw new Error(\"MercatorTicker.dimension not configured\");let s,i,c;[r,o]=t.clip_mercator(r,o,this.dimension),\"lon\"===this.dimension?([s,c]=t.wgs84_mercator.inverse([r,e]),[i,c]=t.wgs84_mercator.inverse([o,e])):([c,s]=t.wgs84_mercator.inverse([e,r]),[c,i]=t.wgs84_mercator.inverse([e,o]));const a=super.get_ticks_no_defaults(s,i,e,n),_=[],f=[];if(\"lon\"===this.dimension){for(const r of a.major)if(t.in_bounds(r,\"lon\")){const[o]=t.wgs84_mercator.forward([r,c]);_.push(o)}for(const r of a.minor)if(t.in_bounds(r,\"lon\")){const[o]=t.wgs84_mercator.forward([r,c]);f.push(o)}}else{for(const r of a.major)if(t.in_bounds(r,\"lat\")){const[,o]=t.wgs84_mercator.forward([c,r]);_.push(o)}for(const r of a.minor)if(t.in_bounds(r,\"lat\")){const[,o]=t.wgs84_mercator.forward([c,r]);f.push(o)}}return{major:_,minor:f}}}e.MercatorTicker=c,c.__name__=\"MercatorTicker\",c.init_MercatorTicker()},\n",
       "      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});var t=e(175);o.CustomJS=t.CustomJS;var u=e(177);o.OpenURL=u.OpenURL},\n",
       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),u=t(176),c=n.__importStar(t(19)),r=t(23),a=t(25);class i extends u.Callback{constructor(t){super(t)}static init_CustomJS(){this.define({args:[c.Any,{}],code:[c.String,\"\"]})}get names(){return r.keys(this.args)}get values(){return r.values(this.args)}get func(){const t=a.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,i.__name__=\"CustomJS\",i.init_CustomJS()},\n",
       "      function _(e,c,l){Object.defineProperty(l,\"__esModule\",{value:!0});const a=e(69);class n extends a.Model{constructor(e){super(e)}}l.Callback=n,n.__name__=\"Callback\"},\n",
       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(1),s=e(176),i=e(158),c=o.__importStar(e(19));class r extends s.Callback{constructor(e){super(e)}static init_OpenURL(){this.define({url:[c.String,\"http://\"],same_tab:[c.Boolean,!1]})}execute(e,{source:t}){const n=e=>{const n=i.replace_placeholders(this.url,t,e);this.same_tab?window.location.href=n:window.open(n)},{selected:o}=t;for(const e of o.indices)n(e);for(const e of o.line_indices)n(e)}}n.OpenURL=r,r.__name__=\"OpenURL\",r.init_OpenURL()},\n",
       "      function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});var n=a(179);r.Canvas=n.Canvas;var s=a(183);r.CartesianFrame=s.CartesianFrame},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const a=e(1),i=e(13),n=e(64),l=e(70),o=a.__importStar(e(19)),c=e(66),d=e(85),h=e(180),_=e(181),r=(()=>{const e=document.createElement(\"canvas\"),t=e.getContext(\"webgl\",{premultipliedAlpha:!0});return null!=t?{canvas:e,gl:t}:void l.logger.trace(\"WebGL is not supported\")})(),v=a.__importDefault(e(182));class p extends n.DOMView{get ctx(){return this._ctx}initialize(){super.initialize();const e={position:\"absolute\",top:\"0\",left:\"0\",width:\"100%\",height:\"100%\"};switch(this.model.output_backend){case\"webgl\":this.webgl=r;case\"canvas\":{this.canvas_el=c.canvas({class:_.bk_canvas,style:e});const t=this.canvas_el.getContext(\"2d\");if(null==t)throw new Error(\"unable to obtain 2D rendering context\");this._ctx=t;break}case\"svg\":{const e=new v.default;this._ctx=e,this.canvas_el=e.getSvg();break}}this.underlays_el=c.div({class:_.bk_canvas_underlays,style:e}),this.overlays_el=c.div({class:_.bk_canvas_overlays,style:e}),this.events_el=c.div({class:_.bk_canvas_events,style:e}),c.append(this.el,this.underlays_el,this.canvas_el,this.overlays_el,this.events_el),h.fixup_ctx(this._ctx),l.logger.debug(\"CanvasView initialized\")}add_underlay(e){this.underlays_el.appendChild(e)}add_overlay(e){this.overlays_el.appendChild(e)}add_event(e){this.events_el.appendChild(e)}prepare_canvas(e,t){this.bbox=new d.BBox({left:0,top:0,width:e,height:t}),this.el.style.width=`${e}px`,this.el.style.height=`${t}px`;const{use_hidpi:s,output_backend:a}=this.model,i=s&&\"svg\"!=a?devicePixelRatio:1;this.model.pixel_ratio=i,this.canvas_el.style.width=`${e}px`,this.canvas_el.style.height=`${t}px`,this.canvas_el.setAttribute(\"width\",`${e*i}`),this.canvas_el.setAttribute(\"height\",`${t*i}`),l.logger.debug(`Rendering CanvasView with width: ${e}, height: ${t}, pixel ratio: ${i}`)}save(e){if(this.canvas_el instanceof HTMLCanvasElement){const t=this.canvas_el;if(null!=t.msToBlob){const s=t.msToBlob();window.navigator.msSaveBlob(s,e)}else{const s=document.createElement(\"a\");s.href=t.toDataURL(\"image/png\"),s.download=e+\".png\",s.target=\"_blank\",s.dispatchEvent(new MouseEvent(\"click\"))}}else{const t=this._ctx.getSerializedSvg(!0),s=new Blob([t],{type:\"text/plain\"}),a=document.createElement(\"a\");a.download=e+\".svg\",a.innerHTML=\"Download svg\",a.href=window.URL.createObjectURL(s),a.onclick=e=>document.body.removeChild(e.target),a.style.display=\"none\",document.body.appendChild(a),a.click()}}}s.CanvasView=p,p.__name__=\"CanvasView\";class u extends i.HasProps{constructor(e){super(e)}static init_Canvas(){this.prototype.default_view=p,this.internal({use_hidpi:[o.Boolean,!0],pixel_ratio:[o.Number,1],output_backend:[o.OutputBackend,\"canvas\"]})}}s.Canvas=u,u.__name__=\"Canvas\",u.init_Canvas()},\n",
       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.fixup_ctx=function(e){!function(e){e.setLineDash||(e.setLineDash=t=>{e.mozDash=t,e.webkitLineDash=t}),e.getLineDash||(e.getLineDash=()=>e.mozDash)}(e),function(e){e.setLineDashOffset=t=>{e.lineDashOffset=t,e.mozDashOffset=t,e.webkitLineDashOffset=t},e.getLineDashOffset=()=>e.mozDashOffset}(e),function(e){e.setImageSmoothingEnabled=t=>{e.imageSmoothingEnabled=t,e.mozImageSmoothingEnabled=t,e.oImageSmoothingEnabled=t,e.webkitImageSmoothingEnabled=t,e.msImageSmoothingEnabled=t},e.getImageSmoothingEnabled=()=>{const t=e.imageSmoothingEnabled;return null==t||t}}(e),function(e){e.measureText&&null==e.html5MeasureText&&(e.html5MeasureText=e.measureText,e.measureText=t=>{const n=e.html5MeasureText(t);return n.ascent=1.6*e.html5MeasureText(\"m\").width,n})}(e),function(e){e.ellipse||(e.ellipse=function(t,n,a,o,s,i,m,h=!1){const l=.551784;e.translate(t,n),e.rotate(s);let u=a,r=o;h&&(u=-a,r=-o),e.moveTo(-u,0),e.bezierCurveTo(-u,r*l,-u*l,r,0,r),e.bezierCurveTo(u*l,r,u,r*l,u,0),e.bezierCurveTo(u,-r*l,u*l,-r,0,-r),e.bezierCurveTo(-u*l,-r,-u,-r*l,-u,0),e.rotate(-s),e.translate(-t,-n)})}(e)}},\n",
       "      function _(a,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),a(67),n.bk_canvas=\"bk-canvas\",n.bk_canvas_underlays=\"bk-canvas-underlays\",n.bk_canvas_overlays=\"bk-canvas-overlays\",n.bk_canvas_events=\"bk-canvas-events\"},\n",
       "      function _(t,e,r){var i,n,s,a,o;function h(t,e){var r,i=Object.keys(e);for(r=0;r<i.length;r++)t=t.replace(new RegExp(\"\\\\{\"+i[r]+\"\\\\}\",\"gi\"),e[i[r]]);return t}function l(t){var e,r,i;if(!t)throw new Error(\"cannot create a random attribute name for an undefined object\");e=\"ABCDEFGHIJKLMNOPQRSTUVWXTZabcdefghiklmnopqrstuvwxyz\",r=\"\";do{for(r=\"\",i=0;i<12;i++)r+=e[Math.floor(Math.random()*e.length)]}while(t[r]);return r}function c(t){var e={alphabetic:\"alphabetic\",hanging:\"hanging\",top:\"text-before-edge\",bottom:\"text-after-edge\",middle:\"central\"};return e[t]||e.alphabetic}\n",
       "      /*!!\n",
       "           *  Canvas 2 Svg v1.0.21\n",
       "           *  A low level canvas to SVG converter. Uses a mock canvas context to build an SVG document.\n",
       "           *\n",
       "           *  Licensed under the MIT license:\n",
       "           *  http://www.opensource.org/licenses/mit-license.php\n",
       "           *\n",
       "           *  Author:\n",
       "           *  Kerry Liu\n",
       "           *\n",
       "           *  Copyright (c) 2014 Gliffy Inc.\n",
       "           */\n",
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d=p[4],g=this.globalAlpha;null!=g&&(d*=g),e.setAttribute(o.svgAttr+\"-opacity\",d)}},n.prototype.__closestGroupOrSvg=function(t){return\"g\"===(t=t||this.__currentElement).nodeName||\"svg\"===t.nodeName?t:this.__closestGroupOrSvg(t.parentNode)},n.prototype.getSerializedSvg=function(t){var e,r,i,n,s,a=(new XMLSerializer).serializeToString(this.__root);if(/xmlns=\"http:\\/\\/www\\.w3\\.org\\/2000\\/svg\".+xmlns=\"http:\\/\\/www\\.w3\\.org\\/2000\\/svg/gi.test(a)&&(a=a.replace('xmlns=\"http://www.w3.org/2000/svg','xmlns:xlink=\"http://www.w3.org/1999/xlink')),t)for(e=Object.keys(o),r=0;r<e.length;r++)i=e[r],n=o[i],(s=new RegExp(i,\"gi\")).test(a)&&(a=a.replace(s,n));return a},n.prototype.getSvg=function(){return this.__root},n.prototype.save=function(){var t=this.__createElement(\"g\"),e=this.__closestGroupOrSvg();this.__groupStack.push(e),e.appendChild(t),this.__currentElement=t,this.__stack.push(this.__getStyleState())},n.prototype.restore=function(){this.__currentElement=this.__groupStack.pop(),this.__currentElementsToStyle=null,this.__currentElement||(this.__currentElement=this.__root.childNodes[1]);var t=this.__stack.pop();this.__applyStyleState(t)},n.prototype.__addTransform=function(t){var e=this.__closestGroupOrSvg();if(e.childNodes.length>0){\"path\"===this.__currentElement.nodeName&&(this.__currentElementsToStyle||(this.__currentElementsToStyle={element:e,children:[]}),this.__currentElementsToStyle.children.push(this.__currentElement),this.__applyCurrentDefaultPath());var r=this.__createElement(\"g\");e.appendChild(r),this.__currentElement=r}var i=this.__currentElement.getAttribute(\"transform\");i?i+=\" \":i=\"\",i+=t,this.__currentElement.setAttribute(\"transform\",i)},n.prototype.scale=function(t,e){void 0===e&&(e=t),this.__addTransform(h(\"scale({x},{y})\",{x:t,y:e}))},n.prototype.rotate=function(t){var e=180*t/Math.PI;this.__addTransform(h(\"rotate({angle},{cx},{cy})\",{angle:e,cx:0,cy:0}))},n.prototype.translate=function(t,e){this.__addTransform(h(\"translate({x},{y})\",{x:t,y:e}))},n.prototype.transform=function(t,e,r,i,n,s){this.__addTransform(h(\"matrix({a},{b},{c},{d},{e},{f})\",{a:t,b:e,c:r,d:i,e:n,f:s}))},n.prototype.beginPath=function(){var t;this.__currentDefaultPath=\"\",this.__currentPosition={},t=this.__createElement(\"path\",{},!0),this.__closestGroupOrSvg().appendChild(t),this.__currentElement=t},n.prototype.__applyCurrentDefaultPath=function(){var t=this.__currentElement;\"path\"===t.nodeName?t.setAttribute(\"d\",this.__currentDefaultPath):console.error(\"Attempted to apply path command to node\",t.nodeName)},n.prototype.__addPathCommand=function(t){this.__currentDefaultPath+=\" 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s=this.__currentPosition&&this.__currentPosition.x,a=this.__currentPosition&&this.__currentPosition.y;if(void 0!==s&&void 0!==a){if(n<0)throw new Error(\"IndexSizeError: The radius provided (\"+n+\") is negative.\");if(s===t&&a===e||t===r&&e===i||0===n)this.lineTo(t,e);else{var o=p([s-t,a-e]),h=p([r-t,i-e]);if(o[0]*h[1]!=o[1]*h[0]){var l=o[0]*h[0]+o[1]*h[1],c=Math.acos(Math.abs(l)),_=p([o[0]+h[0],o[1]+h[1]]),u=n/Math.sin(c/2),d=t+u*_[0],g=e+u*_[1],m=[-o[1],o[0]],f=[h[1],-h[0]],y=function(t){var e=t[0];return t[1]>=0?Math.acos(e):-Math.acos(e)},v=y(m),b=y(f);this.lineTo(d+m[0]*n,g+m[1]*n),this.arc(d,g,n,v,b)}else this.lineTo(t,e)}}},n.prototype.stroke=function(){\"path\"===this.__currentElement.nodeName&&this.__currentElement.setAttribute(\"paint-order\",\"fill stroke markers\"),this.__applyCurrentDefaultPath(),this.__applyStyleToCurrentElement(\"stroke\")},n.prototype.fill=function(){\"path\"===this.__currentElement.nodeName&&this.__currentElement.setAttribute(\"paint-order\",\"stroke fill markers\"),this.__applyCurrentDefaultPath(),this.__applyStyleToCurrentElement(\"fill\")},n.prototype.rect=function(t,e,r,i){\"path\"!==this.__currentElement.nodeName&&this.beginPath(),this.moveTo(t,e),this.lineTo(t+r,e),this.lineTo(t+r,e+i),this.lineTo(t,e+i),this.lineTo(t,e),this.closePath()},n.prototype.fillRect=function(t,e,r,i){var n;n=this.__createElement(\"rect\",{x:t,y:e,width:r,height:i},!0),this.__closestGroupOrSvg().appendChild(n),this.__currentElement=n,this.__applyStyleToCurrentElement(\"fill\")},n.prototype.strokeRect=function(t,e,r,i){var n;n=this.__createElement(\"rect\",{x:t,y:e,width:r,height:i},!0),this.__closestGroupOrSvg().appendChild(n),this.__currentElement=n,this.__applyStyleToCurrentElement(\"stroke\")},n.prototype.__clearCanvas=function(){for(var t=this.__closestGroupOrSvg().getAttribute(\"transform\"),e=this.__root.childNodes[1],r=e.childNodes,i=r.length-1;i>=0;i--)r[i]&&e.removeChild(r[i]);this.__currentElement=e,this.__groupStack=[],t&&this.__addTransform(t)},n.prototype.clearRect=function(t,e,r,i){if(0!==t||0!==e||r!==this.width||i!==this.height){var n,s=this.__closestGroupOrSvg();n=this.__createElement(\"rect\",{x:t,y:e,width:r,height:i,fill:\"#FFFFFF\"},!0),s.appendChild(n)}else this.__clearCanvas()},n.prototype.createLinearGradient=function(t,e,r,i){var n=this.__createElement(\"linearGradient\",{id:l(this.__ids),x1:t+\"px\",x2:r+\"px\",y1:e+\"px\",y2:i+\"px\",gradientUnits:\"userSpaceOnUse\"},!1);return this.__defs.appendChild(n),new s(n,this)},n.prototype.createRadialGradient=function(t,e,r,i,n,a){var o=this.__createElement(\"radialGradient\",{id:l(this.__ids),cx:i+\"px\",cy:n+\"px\",r:a+\"px\",fx:t+\"px\",fy:e+\"px\",gradientUnits:\"userSpaceOnUse\"},!1);return this.__defs.appendChild(o),new s(o,this)},n.prototype.__parseFont=function(){var t=/^\\s*(?=(?:(?:[-a-z]+\\s*){0,2}(italic|oblique))?)(?=(?:(?:[-a-z]+\\s*){0,2}(small-caps))?)(?=(?:(?:[-a-z]+\\s*){0,2}(bold(?:er)?|lighter|[1-9]00))?)(?:(?:normal|\\1|\\2|\\3)\\s*){0,3}((?:xx?-)?(?:small|large)|medium|smaller|larger|[.\\d]+(?:\\%|in|[cem]m|ex|p[ctx]))(?:\\s*\\/\\s*(normal|[.\\d]+(?:\\%|in|[cem]m|ex|p[ctx])))?\\s*([-,\\'\\\"\\sa-z0-9]+?)\\s*$/i.exec(this.font),e={style:t[1]||\"normal\",size:t[4]||\"10px\",family:t[6]||\"sans-serif\",weight:t[3]||\"normal\",decoration:t[2]||\"normal\",href:null};return\"underline\"===this.__fontUnderline&&(e.decoration=\"underline\"),this.__fontHref&&(e.href=this.__fontHref),e},n.prototype.__wrapTextLink=function(t,e){if(t.href){var r=this.__createElement(\"a\");return r.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",t.href),r.appendChild(e),r}return e},n.prototype.__applyText=function(t,e,r,i){var n,s,a=this.__parseFont(),o=this.__closestGroupOrSvg(),h=this.__createElement(\"text\",{\"font-family\":a.family,\"font-size\":a.size,\"font-style\":a.style,\"font-weight\":a.weight,\"text-decoration\":a.decoration,x:e,y:r,\"text-anchor\":(n=this.textAlign,s={left:\"start\",right:\"end\",center:\"middle\",start:\"start\",end:\"end\"},s[n]||s.start),\"dominant-baseline\":c(this.textBaseline)},!0);h.appendChild(this.__document.createTextNode(t)),this.__currentElement=h,this.__applyStyleToCurrentElement(i),o.appendChild(this.__wrapTextLink(a,h))},n.prototype.fillText=function(t,e,r){this.__applyText(t,e,r,\"fill\")},n.prototype.strokeText=function(t,e,r){this.__applyText(t,e,r,\"stroke\")},n.prototype.measureText=function(t){return this.__ctx.font=this.font,this.__ctx.measureText(t)},n.prototype.arc=function(t,e,r,i,n,s){if(i!==n){(i%=2*Math.PI)===(n%=2*Math.PI)&&(n=(n+2*Math.PI-.001*(s?-1:1))%(2*Math.PI));var a=t+r*Math.cos(n),o=e+r*Math.sin(n),l=t+r*Math.cos(i),c=e+r*Math.sin(i),p=s?0:1,_=0,u=n-i;u<0&&(u+=2*Math.PI),_=s?u>Math.PI?0:1:u>Math.PI?1:0,this.lineTo(l,c),this.__addPathCommand(h(\"A {rx} {ry} {xAxisRotation} {largeArcFlag} {sweepFlag} {endX} {endY}\",{rx:r,ry:r,xAxisRotation:0,largeArcFlag:_,sweepFlag:p,endX:a,endY:o})),this.__currentPosition={x:a,y:o}}},n.prototype.clip=function(){var t=this.__closestGroupOrSvg(),e=this.__createElement(\"clipPath\"),r=l(this.__ids),i=this.__createElement(\"g\");this.__applyCurrentDefaultPath(),t.removeChild(this.__currentElement),e.setAttribute(\"id\",r),e.appendChild(this.__currentElement),this.__defs.appendChild(e),t.setAttribute(\"clip-path\",h(\"url(#{id})\",{id:r})),t.appendChild(i),this.__currentElement=i},n.prototype.drawImage=function(){var t,e,r,i,s,a,o,h,l,c,p,_,u,d,g=Array.prototype.slice.call(arguments),m=g[0],f=0,y=0;if(3===g.length)t=g[1],e=g[2],r=s=m.width,i=a=m.height;else if(5===g.length)t=g[1],e=g[2],r=g[3],i=g[4],s=m.width,a=m.height;else{if(9!==g.length)throw new Error(\"Inavlid number of arguments passed to drawImage: \"+arguments.length);f=g[1],y=g[2],s=g[3],a=g[4],t=g[5],e=g[6],r=g[7],i=g[8]}o=this.__closestGroupOrSvg(),this.__currentElement;var v=\"translate(\"+t+\", \"+e+\")\";if(m instanceof n){if((h=m.getSvg().cloneNode(!0)).childNodes&&h.childNodes.length>1){for(l=h.childNodes[0];l.childNodes.length;)d=l.childNodes[0].getAttribute(\"id\"),this.__ids[d]=d,this.__defs.appendChild(l.childNodes[0]);if(c=h.childNodes[1]){var b,x=c.getAttribute(\"transform\");b=x?x+\" \"+v:v,c.setAttribute(\"transform\",b),o.appendChild(c)}}}else\"IMG\"===m.nodeName?((p=this.__createElement(\"image\")).setAttribute(\"width\",r),p.setAttribute(\"height\",i),p.setAttribute(\"preserveAspectRatio\",\"none\"),(f||y||s!==m.width||a!==m.height)&&((_=this.__document.createElement(\"canvas\")).width=r,_.height=i,(u=_.getContext(\"2d\")).drawImage(m,f,y,s,a,0,0,r,i),m=_),p.setAttribute(\"transform\",v),p.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",\"CANVAS\"===m.nodeName?m.toDataURL():m.getAttribute(\"src\")),o.appendChild(p)):\"CANVAS\"===m.nodeName&&((p=this.__createElement(\"image\")).setAttribute(\"width\",r),p.setAttribute(\"height\",i),p.setAttribute(\"preserveAspectRatio\",\"none\"),(_=this.__document.createElement(\"canvas\")).width=r,_.height=i,(u=_.getContext(\"2d\")).imageSmoothingEnabled=!1,u.mozImageSmoothingEnabled=!1,u.oImageSmoothingEnabled=!1,u.webkitImageSmoothingEnabled=!1,u.drawImage(m,f,y,s,a,0,0,r,i),m=_,p.setAttribute(\"transform\",v),p.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",m.toDataURL()),o.appendChild(p))},n.prototype.createPattern=function(t,e){var r,i=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"pattern\"),s=l(this.__ids);return i.setAttribute(\"id\",s),i.setAttribute(\"width\",t.width),i.setAttribute(\"height\",t.height),\"CANVAS\"===t.nodeName||\"IMG\"===t.nodeName?((r=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"image\")).setAttribute(\"width\",t.width),r.setAttribute(\"height\",t.height),r.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",\"CANVAS\"===t.nodeName?t.toDataURL():t.getAttribute(\"src\")),i.appendChild(r),this.__defs.appendChild(i)):t instanceof n&&(i.appendChild(t.__root.childNodes[1]),this.__defs.appendChild(i)),new a(i,this)},n.prototype.setLineDash=function(t){t&&t.length>0?this.lineDash=t.join(\",\"):this.lineDash=null},n.prototype.drawFocusRing=function(){},n.prototype.createImageData=function(){},n.prototype.getImageData=function(){},n.prototype.putImageData=function(){},n.prototype.globalCompositeOperation=function(){},n.prototype.setTransform=function(){},r.default=n},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const a=e(184),_=e(120),n=e(129),r=e(130),i=e(185),g=e(88),c=e(187);class h extends c.LayoutItem{constructor(e,t,s,a,_={},n={}){super(),this.x_scale=e,this.y_scale=t,this.x_range=s,this.y_range=a,this.extra_x_ranges=_,this.extra_y_ranges=n,this._configure_scales()}map_to_screen(e,t,s=\"default\",a=\"default\"){return[this.xscales[s].v_compute(e),this.yscales[a].v_compute(t)]}_get_ranges(e,t){return Object.assign(Object.assign({},t),{default:e})}_get_scales(e,t,s){const c={};for(const h in t){const o=t[h];if((o instanceof i.DataRange1d||o instanceof r.Range1d)&&!(e instanceof _.ContinuousScale))throw new Error(`Range ${o.type} is incompatible is Scale ${e.type}`);if(o instanceof g.FactorRange&&!(e instanceof a.CategoricalScale))throw new Error(`Range ${o.type} is incompatible is Scale ${e.type}`);e instanceof n.LogScale&&o instanceof i.DataRange1d&&(o.scale_hint=\"log\");const l=e.clone();l.setv({source_range:o,target_range:s}),c[h]=l}return c}_configure_frame_ranges(){this._h_target=new r.Range1d({start:this._left.value,end:this._right.value}),this._v_target=new r.Range1d({start:this._bottom.value,end:this._top.value})}_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._xscales=this._get_scales(this.x_scale,this._x_ranges,this._h_target),this._yscales=this._get_scales(this.y_scale,this._y_ranges,this._v_target)}_update_scales(){this._configure_frame_ranges();for(const e in this._xscales){this._xscales[e].target_range=this._h_target}for(const e in this._yscales){this._yscales[e].target_range=this._v_target}}_set_geometry(e,t){super._set_geometry(e,t),this._update_scales()}get x_ranges(){return this._x_ranges}get y_ranges(){return this._y_ranges}get xscales(){return this._xscales}get yscales(){return this._yscales}}s.CartesianFrame=h,h.__name__=\"CartesianFrame\"},\n",
       "      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(121);class _ extends n.Scale{constructor(e){super(e)}compute(e){return super._linear_compute(this.source_range.synthetic(e))}v_compute(e){return super._linear_v_compute(this.source_range.v_synthetic(e))}invert(e){return this._linear_invert(e)}v_invert(e){return this._linear_v_invert(e)}}t.CategoricalScale=_,_.__name__=\"CategoricalScale\"},\n",
       "      function _(t,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=t(1),a=t(186),s=t(78),l=t(70),_=e.__importStar(t(19)),o=e.__importStar(t(85)),r=t(9);class d extends a.DataRange{constructor(t){super(t),this._plot_bounds={},this.have_updated_interactively=!1}static init_DataRange1d(){this.define({start:[_.Number],end:[_.Number],range_padding:[_.Number,.1],range_padding_units:[_.PaddingUnits,\"percent\"],flipped:[_.Boolean,!1],follow:[_.StartEnd],follow_interval:[_.Number],default_span:[_.Number,2],only_visible:[_.Boolean,!1]}),this.internal({scale_hint:[_.String,\"auto\"]})}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}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}computed_renderers(){const t=this.names;let i=this.renderers;if(0==i.length)for(const t of this.plots){const n=t.renderers.filter(t=>t instanceof s.GlyphRenderer);i=i.concat(n)}t.length>0&&(i=i.filter(i=>r.includes(t,i.name))),l.logger.debug(`computed ${i.length} renderers for DataRange1d ${this.id}`);for(const t of i)l.logger.trace(` - ${t.type} ${t.id}`);return i}_compute_plot_bounds(t,i){let n=o.empty();for(const e of t)null==i[e.id]||!e.visible&&this.only_visible||(n=o.union(n,i[e.id]));return n}adjust_bounds_for_aspect(t,i){const n=o.empty();let e=t.x1-t.x0;e<=0&&(e=1);let a=t.y1-t.y0;a<=0&&(a=1);const s=.5*(t.x1+t.x0),l=.5*(t.y1+t.y0);return e<i*a?e=i*a:a=e/i,n.x1=s+.5*e,n.x0=s-.5*e,n.y1=l+.5*a,n.y0=l-.5*a,n}_compute_min_max(t,i){let n,e,a=o.empty();for(const i in t){const n=t[i];a=o.union(a,n)}return[n,e]=0==i?[a.x0,a.x1]:[a.y0,a.y1],[n,e]}_compute_range(t,i){const n=this.range_padding;let e,a;if(null!=this._initial_start&&(t=this._initial_start),null!=this._initial_end&&(i=this._initial_end),\"log\"==this.scale_hint){let s,_;if((isNaN(t)||!isFinite(t)||t<=0)&&(t=isNaN(i)||!isFinite(i)||i<=0?.1:i/100,l.logger.warn(`could not determine minimum data value for log axis, DataRange1d using value ${t}`)),(isNaN(i)||!isFinite(i)||i<=0)&&(i=isNaN(t)||!isFinite(t)||t<=0?10:100*t,l.logger.warn(`could not determine maximum data value for log axis, DataRange1d using value ${i}`)),i==t)_=this.default_span+.001,s=Math.log(t)/Math.log(10);else{let e,a;\"percent\"==this.range_padding_units?(e=Math.log(t)/Math.log(10),a=Math.log(i)/Math.log(10),_=(a-e)*(1+n)):(e=Math.log(t-n)/Math.log(10),a=Math.log(i+n)/Math.log(10),_=a-e),s=(e+a)/2}e=Math.pow(10,s-_/2),a=Math.pow(10,s+_/2)}else{let s;s=i==t?this.default_span:\"percent\"==this.range_padding_units?(i-t)*(1+n):i-t+2*n;const l=(i+t)/2;e=l-s/2,a=l+s/2}let s=1;this.flipped&&([e,a]=[a,e],s=-1);const _=this.follow_interval;return null!=_&&Math.abs(e-a)>_&&(\"start\"==this.follow?a=e+s*_:\"end\"==this.follow&&(e=a-s*_)),[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[n]=s;const[l,_]=this._compute_min_max(this._plot_bounds,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);const[d,h]=[this.start,this.end];if(o!=d||r!=h){const t={};o!=d&&(t.start=o),r!=h&&(t.end=r),this.setv(t)}\"auto\"==this.bounds&&this.setv({bounds:[o,r]},{silent:!0}),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=d,d.__name__=\"DataRange1d\",d.init_DataRange1d()},\n",
       "      function _(e,a,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),r=e(89),s=n.__importStar(e(19));class _ extends r.Range{constructor(e){super(e)}static init_DataRange(){this.define({names:[s.Array,[]],renderers:[s.Array,[]]})}}t.DataRange=_,_.__name__=\"DataRange\",_.init_DataRange()},\n",
       "      function _(a,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});var e=a(188);t.Sizeable=e.Sizeable;var r=a(189);t.Layoutable=r.Layoutable,t.LayoutItem=r.LayoutItem;var n=a(190);t.HStack=n.HStack,t.VStack=n.VStack,t.AnchorLayout=n.AnchorLayout;var u=a(191);t.Grid=u.Grid,t.Row=u.Row,t.Column=u.Column;var c=a(192);t.ContentBox=c.ContentBox,t.VariadicBox=c.VariadicBox},\n",
       "      function _(h,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const{min:e,max:w}=Math;class d{constructor(h={}){this.width=null!=h.width?h.width:0,this.height=null!=h.height?h.height:0}bounded_to({width:h,height:t}){return new d({width:this.width==1/0&&null!=h?h:this.width,height:this.height==1/0&&null!=t?t:this.height})}expanded_to({width:h,height:t}){return new d({width:h!=1/0?w(this.width,h):this.width,height:t!=1/0?w(this.height,t):this.height})}expand_to({width:h,height:t}){this.width=w(this.width,h),this.height=w(this.height,t)}narrowed_to({width:h,height:t}){return new d({width:e(this.width,h),height:e(this.height,t)})}narrow_to({width:h,height:t}){this.width=e(this.width,h),this.height=e(this.height,t)}grow_by({left:h,right:t,top:i,bottom:e}){const w=this.width+h+t,s=this.height+i+e;return new d({width:w,height:s})}shrink_by({left:h,right:t,top:i,bottom:e}){const s=w(this.width-h-t,0),n=w(this.height-i-e,0);return new d({width:s,height:n})}map(h,t){return new d({width:h(this.width),height:(null!=t?t:h)(this.height)})}}i.Sizeable=d,d.__name__=\"Sizeable\"},\n",
       "      function _(i,t,h){Object.defineProperty(h,\"__esModule\",{value:!0});const e=i(188),s=i(85),{min:n,max:g,round:a}=Math;class r{constructor(){this._bbox=new s.BBox,this._inner_bbox=new s.BBox;const i=this;this._top={get value(){return i.bbox.top}},this._left={get value(){return i.bbox.left}},this._width={get value(){return i.bbox.width}},this._height={get value(){return i.bbox.height}},this._right={get value(){return i.bbox.right}},this._bottom={get value(){return i.bbox.bottom}},this._hcenter={get value(){return i.bbox.hcenter}},this._vcenter={get value(){return i.bbox.vcenter}}}get bbox(){return this._bbox}get inner_bbox(){return this._inner_bbox}get sizing(){return this._sizing}set_sizing(i){const t=i.width_policy||\"fit\",h=i.width,e=null!=i.min_width?i.min_width:0,s=null!=i.max_width?i.max_width:1/0,n=i.height_policy||\"fit\",g=i.height,a=null!=i.min_height?i.min_height:0,r=null!=i.max_height?i.max_height:1/0,l=i.aspect,_=i.margin||{top:0,right:0,bottom:0,left:0},d=!1!==i.visible,o=i.halign||\"start\",u=i.valign||\"start\";this._sizing={width_policy:t,min_width:e,width:h,max_width:s,height_policy:n,min_height:a,height:g,max_height:r,aspect:l,margin:_,visible:d,halign:o,valign:u,size:{width:h,height:g},min_size:{width:e,height:a},max_size:{width:s,height:r}},this._init()}_init(){}_set_geometry(i,t){this._bbox=i,this._inner_bbox=t}set_geometry(i,t){this._set_geometry(i,t||i)}is_width_expanding(){return\"max\"==this.sizing.width_policy}is_height_expanding(){return\"max\"==this.sizing.height_policy}apply_aspect(i,{width:t,height:h}){const{aspect:e}=this.sizing;if(null!=e){const{width_policy:s,height_policy:n}=this.sizing,g=(i,t)=>{const h={max:4,fit:3,min:2,fixed:1};return h[i]>h[t]};if(\"fixed\"!=s&&\"fixed\"!=n)if(s==n){const s=t,n=a(t/e),g=a(h*e),r=h;Math.abs(i.width-s)+Math.abs(i.height-n)<=Math.abs(i.width-g)+Math.abs(i.height-r)?(t=s,h=n):(t=g,h=r)}else g(s,n)?h=a(t/e):t=a(h*e);else\"fixed\"==s?h=a(t/e):\"fixed\"==n&&(t=a(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,s=new e.Sizeable(i).shrink_by(this.sizing.margin).map(t,h),n=this._measure(s),g=this.clip_size(n),a=t(g.width),r=h(g.height),l=this.apply_aspect(s,{width:a,height:r});return Object.assign(Object.assign({},n),l)}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 s.BBox({left:0,top:0,width:h,height:e});let g=void 0;if(null!=t.inner){const{left:i,top:n,right:a,bottom:r}=t.inner;g=new s.BBox({left:i,top:n,right:h-a,bottom:e-r})}this.set_geometry(n,g)}get xview(){return this.bbox.xview}get yview(){return this.bbox.yview}clip_width(i){return g(this.sizing.min_width,n(i,this.sizing.max_width))}clip_height(i){return g(this.sizing.min_height,n(i,this.sizing.max_height))}clip_size({width:i,height:t}){return{width:this.clip_width(i),height:this.clip_height(t)}}}h.Layoutable=r,r.__name__=\"Layoutable\";class l extends r{_measure(i){const{width_policy:t,height_policy:h}=this.sizing;let e,s;if(i.width==1/0)e=null!=this.sizing.width?this.sizing.width:0;else switch(t){case\"fixed\":e=null!=this.sizing.width?this.sizing.width:0;break;case\"min\":e=null!=this.sizing.width?n(i.width,this.sizing.width):0;break;case\"fit\":e=null!=this.sizing.width?n(i.width,this.sizing.width):i.width;break;case\"max\":e=null!=this.sizing.width?g(i.width,this.sizing.width):i.width}if(i.height==1/0)s=null!=this.sizing.height?this.sizing.height:0;else switch(h){case\"fixed\":s=null!=this.sizing.height?this.sizing.height:0;break;case\"min\":s=null!=this.sizing.height?n(i.height,this.sizing.height):0;break;case\"fit\":s=null!=this.sizing.height?n(i.height,this.sizing.height):i.height;break;case\"max\":s=null!=this.sizing.height?g(i.height,this.sizing.height):i.height}return{width:e,height:s}}}h.LayoutItem=l,l.__name__=\"LayoutItem\";class _ extends r{_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=_,_.__name__=\"ContentLayoutable\"},\n",
       "      function _(t,e,h){Object.defineProperty(h,\"__esModule\",{value:!0});const o=t(189),r=t(85);class i extends o.Layoutable{constructor(){super(...arguments),this.children=[]}}h.Stack=i,i.__name__=\"Stack\";class s extends i{_measure(t){let e=0,h=0;for(const t of this.children){const o=t.measure({width:0,height:0});e+=o.width,h=Math.max(h,o.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const{top:h,bottom:o}=t;let{left:i}=t;for(const t of this.children){const{width:e}=t.measure({width:0,height:0});t.set_geometry(new r.BBox({left:i,width:e,top:h,bottom:o})),i+=e}}}h.HStack=s,s.__name__=\"HStack\";class n extends i{_measure(t){let e=0,h=0;for(const t of this.children){const o=t.measure({width:0,height:0});e=Math.max(e,o.width),h+=o.height}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const{left:h,right:o}=t;let{top:i}=t;for(const t of this.children){const{height:e}=t.measure({width:0,height:0});t.set_geometry(new r.BBox({top:i,height:e,left:h,right:o})),i+=e}}}h.VStack=n,n.__name__=\"VStack\";class c extends o.Layoutable{constructor(){super(...arguments),this.children=[]}_measure(t){let e=0,h=0;for(const{layout:o}of this.children){const r=o.measure(t);e=Math.max(e,r.width),h=Math.max(h,r.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);for(const{layout:e,anchor:h,margin:o}of this.children){const{left:i,right:s,top:n,bottom:c,hcenter:a,vcenter:_}=t,{width:g,height:d}=e.measure(t);let m;switch(h){case\"top_left\":m=new r.BBox({left:i+o,top:n+o,width:g,height:d});break;case\"top_center\":m=new r.BBox({hcenter:a,top:n+o,width:g,height:d});break;case\"top_right\":m=new r.BBox({right:s-o,top:n+o,width:g,height:d});break;case\"bottom_right\":m=new r.BBox({right:s-o,bottom:c-o,width:g,height:d});break;case\"bottom_center\":m=new r.BBox({hcenter:a,bottom:c-o,width:g,height:d});break;case\"bottom_left\":m=new r.BBox({left:i+o,bottom:c-o,width:g,height:d});break;case\"center_left\":m=new r.BBox({left:i+o,vcenter:_,width:g,height:d});break;case\"center\":m=new r.BBox({hcenter:a,vcenter:_,width:g,height:d});break;case\"center_right\":m=new r.BBox({right:s-o,vcenter:_,width:g,height:d})}e.set_geometry(m)}}}h.AnchorLayout=c,c.__name__=\"AnchorLayout\"},\n",
       "      function _(t,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const e=t(188),o=t(189),n=t(8),r=t(85),h=t(9),{max:l,round:c}=Math;class a{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))}}a.__name__=\"DefaultMap\";class g{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=l(this._nrows,s+1),this._ncols=l(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 g;for(const{span:s,data:e}of this._items)i.add(s,t(s,e));return i}}g.__name__=\"Container\";class p extends o.Layoutable{constructor(t=[]){super(),this.items=t,this.rows=\"auto\",this.cols=\"auto\",this.spacing=0,this.absolute=!1}is_width_expanding(){if(super.is_width_expanding())return!0;if(\"fixed\"==this.sizing.width_policy)return!1;const{cols:t}=this._state;return h.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 h.some(t,t=>\"max\"==t.policy)}_init(){super._init();const t=new g;for(const{layout:i,row:s,col:e,row_span:o,col_span:n}of this.items)if(i.sizing.visible){const r=s,h=e,l=s+(null!=o?o:1)-1,c=e+(null!=n?n:1)-1;t.add({r0:r,c0:h,r1:l,c1:c},i)}const{nrows:i,ncols:s}=t,e=new Array(i);for(let s=0;s<i;s++){const i=(()=>{const t=n.isPlainObject(this.rows)?this.rows[s]||this.rows[\"*\"]:this.rows;return null==t?{policy:\"auto\"}:n.isNumber(t)?{policy:\"fixed\",height:t}:n.isString(t)?{policy:t}:t})(),o=i.align||\"auto\";if(\"fixed\"==i.policy)e[s]={policy:\"fixed\",height:i.height,align:o};else if(\"min\"==i.policy)e[s]={policy:\"min\",align:o};else if(\"fit\"==i.policy||\"max\"==i.policy)e[s]={policy:i.policy,flex:i.flex||1,align:o};else{if(\"auto\"!=i.policy)throw new Error(\"unrechable\");h.some(t.row(s),t=>t.is_height_expanding())?e[s]={policy:\"max\",flex:1,align:o}:e[s]={policy:\"min\",align:o}}}const o=new Array(s);for(let i=0;i<s;i++){const s=(()=>{const t=n.isPlainObject(this.cols)?this.cols[i]||this.cols[\"*\"]:this.cols;return null==t?{policy:\"auto\"}:n.isNumber(t)?{policy:\"fixed\",width:t}:n.isString(t)?{policy:t}:t})(),e=s.align||\"auto\";if(\"fixed\"==s.policy)o[i]={policy:\"fixed\",width:s.width,align:e};else if(\"min\"==s.policy)o[i]={policy:\"min\",align:e};else if(\"fit\"==s.policy||\"max\"==s.policy)o[i]={policy:s.policy,flex:s.flex||1,align:e};else{if(\"auto\"!=s.policy)throw new Error(\"unrechable\");h.some(t.col(i),t=>t.is_width_expanding())?o[i]={policy:\"max\",flex:1,align:e}:o[i]={policy:\"min\",align:e}}}const[r,l]=n.isNumber(this.spacing)?[this.spacing,this.spacing]:this.spacing;this._state={items:t,nrows:i,ncols:s,rows:e,cols:o,rspacing:r,cspacing:l}}_measure_totals(t,i){const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state;return{height:h.sum(t)+(s-1)*o,width:h.sum(i)+(e-1)*n}}_measure_cells(t){const{items:i,nrows:s,ncols:o,rows:n,cols:r,rspacing:h,cspacing:a}=this._state,p=new Array(s);for(let t=0;t<s;t++){const i=n[t];p[t]=\"fixed\"==i.policy?i.height:0}const _=new Array(o);for(let t=0;t<o;t++){const i=r[t];_[t]=\"fixed\"==i.policy?i.width:0}const f=new g;return i.foreach((i,s)=>{const{r0:o,c0:g,r1:d,c1:w}=i,u=(d-o)*h,m=(w-g)*a;let y=0;for(let i=o;i<=d;i++)y+=t(i,g).height;y+=u;let x=0;for(let i=g;i<=w;i++)x+=t(o,i).width;x+=m;const b=s.measure({width:x,height:y});f.add(i,{layout:s,size_hint:b});const z=new e.Sizeable(b).grow_by(s.sizing.margin);z.height-=u,z.width-=m;const j=[];for(let t=o;t<=d;t++){const i=n[t];\"fixed\"==i.policy?z.height-=i.height:j.push(t)}if(z.height>0){const t=c(z.height/j.length);for(const i of j)p[i]=l(p[i],t)}const O=[];for(let t=g;t<=w;t++){const i=r[t];\"fixed\"==i.policy?z.width-=i.width:O.push(t)}if(z.width>0){const t=c(z.width/O.length);for(const i of O)_[i]=l(_[i],t)}}),{size:this._measure_totals(p,_),row_heights:p,col_widths:_,size_hints:f}}_measure_grid(t){const{nrows:i,ncols:s,rows:e,cols:o,rspacing:n,cspacing:r}=this._state,h=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 a;a=\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:t.height!=1/0&&this.is_height_expanding()?t.height:h.size.height;let g,p=0;for(let t=0;t<i;t++){const i=e[t];\"fit\"==i.policy||\"max\"==i.policy?p+=i.flex:a-=h.row_heights[t]}if(a-=(i-1)*n,0!=p&&a>0)for(let t=0;t<i;t++){const i=e[t];if(\"fit\"==i.policy||\"max\"==i.policy){const s=c(a*(i.flex/p));a-=s,h.row_heights[t]=s,p-=i.flex}}else if(a<0){let t=0;for(let s=0;s<i;s++){\"fixed\"!=e[s].policy&&t++}let s=-a;for(let o=0;o<i;o++){if(\"fixed\"!=e[o].policy){const i=h.row_heights[o],e=c(s/t);h.row_heights[o]=l(i-e,0),s-=e>i?i:e,t--}}}g=\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:t.width!=1/0&&this.is_width_expanding()?t.width:h.size.width;let _=0;for(let t=0;t<s;t++){const i=o[t];\"fit\"==i.policy||\"max\"==i.policy?_+=i.flex:g-=h.col_widths[t]}if(g-=(s-1)*r,0!=_&&g>0)for(let t=0;t<s;t++){const i=o[t];if(\"fit\"==i.policy||\"max\"==i.policy){const s=c(g*(i.flex/_));g-=s,h.col_widths[t]=s,_-=i.flex}}else if(g<0){let t=0;for(let i=0;i<s;i++){\"fixed\"!=o[i].policy&&t++}let i=-g;for(let e=0;e<s;e++){if(\"fixed\"!=o[e].policy){const s=h.col_widths[e],o=c(i/t);h.col_widths[e]=l(s-o,0),i-=o>s?s:o,t--}}}const{row_heights:f,col_widths:d,size_hints:w}=this._measure_cells((t,i)=>({width:h.col_widths[i],height:h.row_heights[t]}));return{size:this._measure_totals(f,d),row_heights:f,col_widths:d,size_hints:w}}_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:h,col_widths:g,size_hints:p}=this._measure_grid(t),_=this._state.rows.map((t,i)=>Object.assign(Object.assign({},t),{top:0,height:h[i],get bottom(){return this.top+this.height}})),f=this._state.cols.map((t,i)=>Object.assign(Object.assign({},t),{left:0,width:g[i],get right(){return this.left+this.width}})),d=p.map((t,i)=>Object.assign(Object.assign({},i),{outer:new r.BBox,inner:new r.BBox}));for(let i=0,e=this.absolute?t.top:0;i<s;i++){const t=_[i];t.top=e,e+=t.height+o}for(let i=0,s=this.absolute?t.left:0;i<e;i++){const t=f[i];t.left=s,s+=t.width+n}d.foreach(({r0:t,c0:i,r1:s,c1:e},h)=>{const{layout:l,size_hint:a}=h,{sizing:g}=l,{width:p,height:d}=a,w=function(t,i){let s=(i-t)*n;for(let e=t;e<=i;e++)s+=f[e].width;return s}(i,e),u=function(t,i){let s=(i-t)*o;for(let e=t;e<=i;e++)s+=_[e].height;return s}(t,s),m=i==e&&\"auto\"!=f[i].align?f[i].align:g.halign,y=t==s&&\"auto\"!=_[t].align?_[t].align:g.valign;let x=f[i].left;\"start\"==m?x+=g.margin.left:\"center\"==m?x+=c((w-p)/2):\"end\"==m&&(x+=w-g.margin.right-p);let b=_[t].top;\"start\"==y?b+=g.margin.top:\"center\"==y?b+=c((u-d)/2):\"end\"==y&&(b+=u-g.margin.bottom-d),h.outer=new r.BBox({left:x,top:b,width:p,height:d})});const w=_.map(()=>({start:new a(()=>0),end:new a(()=>0)})),u=f.map(()=>({start:new a(()=>0),end:new a(()=>0)}));d.foreach(({r0:t,c0:i,r1:s,c1:e},{size_hint:o,outer:n})=>{const{inner:r}=o;null!=r&&(w[t].start.apply(n.top,t=>l(t,r.top)),w[s].end.apply(_[s].bottom-n.bottom,t=>l(t,r.bottom)),u[i].start.apply(n.left,t=>l(t,r.left)),u[e].end.apply(f[e].right-n.right,t=>l(t,r.right)))}),d.foreach(({r0:t,c0:i,r1:s,c1:e},o)=>{const{size_hint:n,outer:h}=o;function l({left:t,right:i,top:s,bottom:e}){const o=h.width-t-i,n=h.height-s-e;return new r.BBox({left:t,top:s,width:o,height:n})}if(null!=n.inner){let r=l(n.inner);if(!1!==n.align){const o=w[t].start.get(h.top),n=w[s].end.get(_[s].bottom-h.bottom),c=u[i].start.get(h.left),a=u[e].end.get(f[e].right-h.right);try{r=l({top:o,bottom:n,left:c,right:a})}catch(t){}}o.inner=r}else o.inner=h}),d.foreach((t,{layout:i,outer:s,inner:e})=>{i.set_geometry(s,e)})}}s.Grid=p,p.__name__=\"Grid\";class _ extends p{constructor(t){super(),this.items=t.map((t,i)=>({layout:t,row:0,col:i})),this.rows=\"fit\"}}s.Row=_,_.__name__=\"Row\";class f extends p{constructor(t){super(),this.items=t.map((t,i)=>({layout:t,row:i,col:0})),this.cols=\"fit\"}}s.Column=f,f.__name__=\"Column\"},\n",
       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(189),i=e(188),o=e(66);class r extends s.ContentLayoutable{constructor(e){super(),this.content_size=o.unsized(e,()=>new i.Sizeable(o.size(e)))}_content_size(){return this.content_size}}n.ContentBox=r,r.__name__=\"ContentBox\";class a extends s.Layoutable{constructor(e){super(),this.el=e}_measure(e){const t=new i.Sizeable(e).bounded_to(this.sizing.size);return o.sized(this.el,t,()=>{const e=new i.Sizeable(o.content_size(this.el)),{border:t,padding:n}=o.extents(this.el);return e.grow_by(t).grow_by(n).map(Math.ceil)})}}n.VariadicBox=a,a.__name__=\"VariadicBox\"},\n",
       "      function _(e,r,u){Object.defineProperty(u,\"__esModule\",{value:!0});var a=e(194);u.Expression=a.Expression;var n=e(195);u.Stack=n.Stack;var o=e(196);u.CumSum=o.CumSum},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(69);class n extends s.Model{constructor(e){super(e),this._connected={},this._result={}}initialize(){super.initialize(),this._connected={},this._result={}}v_compute(e){null==this._connected[e.id]&&(this.connect(e.change,()=>delete this._result[e.id]),this.connect(e.patching,()=>delete this._result[e.id]),this.connect(e.streaming,()=>delete this._result[e.id]),this._connected[e.id]=!0);let t=this._result[e.id];return null==t&&(this._result[e.id]=t=this._v_compute(e)),t}}i.Expression=n,n.__name__=\"Expression\"},\n",
       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),o=t(194),r=i.__importStar(t(19));class s extends o.Expression{constructor(t){super(t)}static init_Stack(){this.define({fields:[r.Array,[]]})}_v_compute(t){var e;const n=null!==(e=t.get_length())&&void 0!==e?e:0,i=new Float64Array(n);for(const e of this.fields){const o=t.data[e];if(null!=o)for(let t=0,e=Math.min(n,o.length);t<e;t++)i[t]+=o[t]}return i}}n.Stack=s,s.__name__=\"Stack\",s.init_Stack()},\n",
       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),u=e(194),o=i.__importStar(e(19));class r extends u.Expression{constructor(e){super(e)}static init_CumSum(){this.define({field:[o.String],include_zero:[o.Boolean,!1]})}_v_compute(e){const t=new Float64Array(e.get_length()||0),n=e.data[this.field],i=this.include_zero?1:0;t[0]=this.include_zero?0:n[0];for(let e=1;e<t.length;e++)t[e]=t[e-1]+n[e-i];return t}}n.CumSum=r,r.__name__=\"CumSum\",r.init_CumSum()},\n",
       "      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});var l=e(198);t.BooleanFilter=l.BooleanFilter;var i=e(200);t.CustomJSFilter=i.CustomJSFilter;var o=e(199);t.Filter=o.Filter;var F=e(201);t.GroupFilter=F.GroupFilter;var a=e(202);t.IndexFilter=a.IndexFilter},\n",
       "      function _(e,o,l){Object.defineProperty(l,\"__esModule\",{value:!0});const n=e(1),t=e(199),i=n.__importStar(e(19)),r=e(70),a=e(9),s=e(8);class g extends t.Filter{constructor(e){super(e)}static init_BooleanFilter(){this.define({booleans:[i.Array,null]})}compute_indices(e){const o=this.booleans;return null!=o&&o.length>0?a.every(o,s.isBoolean)?(o.length!==e.get_length()&&r.logger.warn(`BooleanFilter ${this.id}: length of booleans doesn't match data source`),a.range(0,o.length).filter(e=>!0===o[e])):(r.logger.warn(`BooleanFilter ${this.id}: booleans should be array of booleans, defaulting to no filtering`),null):(null!=o&&0==o.length?r.logger.warn(`BooleanFilter ${this.id}: booleans is empty, defaulting to no filtering`):r.logger.warn(`BooleanFilter ${this.id}: booleans was not set, defaulting to no filtering`),null)}}l.BooleanFilter=g,g.__name__=\"BooleanFilter\",g.init_BooleanFilter()},\n",
       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1),l=e(69),n=i.__importStar(e(19)),o=e(8),s=e(9),a=e(70);class f extends l.Model{constructor(e){super(e)}static init_Filter(){this.define({filter:[n.Array,null]})}compute_indices(e){const t=this.filter;return null!=t&&t.length>=0?o.isArrayOf(t,o.isBoolean)?s.range(0,t.length).filter(e=>!0===t[e]):o.isArrayOf(t,o.isInteger)?t:(a.logger.warn(`Filter ${this.id}: filter should either be array of only booleans or only integers, defaulting to no filtering`),null):(a.logger.warn(`Filter ${this.id}: filter was not set to be an array, defaulting to no filtering`),null)}}r.Filter=f,f.__name__=\"Filter\",f.init_Filter()},\n",
       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),r=t(199),n=i.__importStar(t(19)),u=t(23),c=t(25);class o extends r.Filter{constructor(t){super(t)}static init_CustomJSFilter(){this.define({args:[n.Any,{}],code:[n.String,\"\"]})}get names(){return u.keys(this.args)}get values(){return u.values(this.args)}get func(){const t=c.use_strict(this.code);return new Function(...this.names,\"source\",t)}compute_indices(t){return this.filter=this.func(...this.values,t),super.compute_indices(t)}}s.CustomJSFilter=o,o.__name__=\"CustomJSFilter\",o.init_CustomJSFilter()},\n",
       "      function _(t,n,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1),r=t(199),o=e.__importStar(t(19)),u=t(70),l=t(9);class s extends r.Filter{constructor(t){super(t),this.indices=null}static init_GroupFilter(){this.define({column_name:[o.String],group:[o.String]})}compute_indices(t){const n=t.get_column(this.column_name);return null==n?(u.logger.warn(\"group filter: groupby column not found in data source\"),null):(this.indices=l.range(0,t.get_length()||0).filter(t=>n[t]===this.group),0===this.indices.length&&u.logger.warn(`group filter: group '${this.group}' did not match any values in column '${this.column_name}'`),this.indices)}}i.GroupFilter=s,s.__name__=\"GroupFilter\",s.init_GroupFilter()},\n",
       "      function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),r=e(199),s=t.__importStar(e(19)),l=e(70),d=e(8),o=e(9);class c extends r.Filter{constructor(e){super(e)}static init_IndexFilter(){this.define({indices:[s.Array,null]})}compute_indices(e){return null!=this.indices&&this.indices.length>=0?o.every(this.indices,d.isInteger)?this.indices:(l.logger.warn(`IndexFilter ${this.id}: indices should be array of integers, defaulting to no filtering`),null):(l.logger.warn(`IndexFilter ${this.id}: indices was not set, defaulting to no filtering`),null)}}n.IndexFilter=c,c.__name__=\"IndexFilter\",c.init_IndexFilter()},\n",
       "      function _(r,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});var e=r(112);a.BasicTickFormatter=e.BasicTickFormatter;var c=r(152);a.CategoricalTickFormatter=c.CategoricalTickFormatter;var i=r(156);a.DatetimeTickFormatter=i.DatetimeTickFormatter;var o=r(204);a.FuncTickFormatter=o.FuncTickFormatter;var m=r(169);a.LogTickFormatter=m.LogTickFormatter;var F=r(172);a.MercatorTickFormatter=F.MercatorTickFormatter;var k=r(205);a.NumeralTickFormatter=k.NumeralTickFormatter;var T=r(206);a.PrintfTickFormatter=T.PrintfTickFormatter;var v=r(113);a.TickFormatter=v.TickFormatter},\n",
       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),s=t(113),i=r.__importStar(t(19)),c=t(23),a=t(25);class u extends s.TickFormatter{constructor(t){super(t)}static init_FuncTickFormatter(){this.define({args:[i.Any,{}],code:[i.String,\"\"]})}get names(){return c.keys(this.args)}get values(){return c.values(this.args)}_make_func(){const t=a.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,r)=>n(t,e,r,...this.values))}}n.FuncTickFormatter=u,u.__name__=\"FuncTickFormatter\",u.init_FuncTickFormatter()},\n",
       "      function _(r,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=r(1),o=e.__importStar(r(159)),a=r(113),i=e.__importStar(r(19));class u extends a.TickFormatter{constructor(r){super(r)}static init_NumeralTickFormatter(){this.define({format:[i.String,\"0,0\"],language:[i.String,\"en\"],rounding:[i.RoundingFunction,\"round\"]})}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,t){const{format:n,language:e,_rounding_fn:a}=this;return r.map(r=>o.format(r,n,e,a))}}n.NumeralTickFormatter=u,u.__name__=\"NumeralTickFormatter\",u.init_NumeralTickFormatter()},\n",
       "      function _(t,r,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1),n=t(113),o=t(158),a=e.__importStar(t(19));class c extends n.TickFormatter{constructor(t){super(t)}static init_PrintfTickFormatter(){this.define({format:[a.String,\"%s\"]})}doFormat(t,r){return t.map(t=>o.sprintf(this.format,t))}}i.PrintfTickFormatter=c,c.__name__=\"PrintfTickFormatter\",c.init_PrintfTickFormatter()},\n",
       "      function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});var v=a(208);r.AnnularWedge=v.AnnularWedge;var l=a(209);r.Annulus=l.Annulus;var t=a(210);r.Arc=t.Arc;var i=a(211);r.Bezier=i.Bezier;var n=a(212);r.Circle=n.Circle;var u=a(213);r.CenterRotatable=u.CenterRotatable;var c=a(214);r.Ellipse=c.Ellipse;var g=a(215);r.EllipseOval=g.EllipseOval;var A=a(86);r.Glyph=A.Glyph;var p=a(92);r.HArea=p.HArea;var s=a(216);r.HBar=s.HBar;var d=a(218);r.HexTile=d.HexTile;var R=a(219);r.Image=R.Image;var o=a(221);r.ImageRGBA=o.ImageRGBA;var y=a(222);r.ImageURL=y.ImageURL;var h=a(80);r.Line=h.Line;var m=a(224);r.MultiLine=m.MultiLine;var B=a(225);r.MultiPolygons=B.MultiPolygons;var P=a(226);r.Oval=P.Oval;var G=a(91);r.Patch=G.Patch;var H=a(227);r.Patches=H.Patches;var I=a(228);r.Quad=I.Quad;var L=a(229);r.Quadratic=L.Quadratic;var M=a(230);r.Ray=M.Ray;var O=a(231);r.Rect=O.Rect;var x=a(232);r.Segment=x.Segment;var C=a(233);r.Step=C.Step;var E=a(234);r.Text=E.Text;var Q=a(94);r.VArea=Q.VArea;var S=a(235);r.VBar=S.VBar;var T=a(236);r.Wedge=T.Wedge;var V=a(81);r.XYGlyph=V.XYGlyph},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(81),n=e(90),a=i.__importStar(e(87)),_=i.__importStar(e(19)),o=e(10);class h extends r.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=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=this._outer_radius,this._angle=new Float32Array(this._start_angle.length);for(let e=0,t=this._start_angle.length;e<t;e++)this._angle[e]=this._end_angle[e]-this._start_angle[e]}_render(e,t,{sx:s,sy:i,_start_angle:r,_angle:n,sinner_radius:a,souter_radius:_}){const o=this.model.properties.direction.value();for(const h of t)isNaN(s[h]+i[h]+a[h]+_[h]+r[h]+n[h])||(e.translate(s[h],i[h]),e.rotate(r[h]),e.moveTo(_[h],0),e.beginPath(),e.arc(0,0,_[h],0,n[h],o),e.rotate(n[h]),e.lineTo(a[h],0),e.arc(0,0,a[h],0,-n[h],!o),e.closePath(),e.rotate(-n[h]-r[h]),e.translate(-s[h],-i[h]),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,h),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,h),e.stroke()))}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),r=this.renderer.yscale.invert(s);let n,_,h,u;if(\"data\"==this.model.properties.outer_radius.units)n=i-this.max_outer_radius,h=i+this.max_outer_radius,_=r-this.max_outer_radius,u=r+this.max_outer_radius;else{const e=t-this.max_outer_radius,i=t+this.max_outer_radius;[n,h]=this.renderer.xscale.r_invert(e,i);const r=s-this.max_outer_radius,a=s+this.max_outer_radius;[_,u]=this.renderer.yscale.r_invert(r,a)}const l=[];for(const e of this.index.indices({x0:n,x1:h,y0:_,y1:u})){const t=Math.pow(this.souter_radius[e],2),s=Math.pow(this.sinner_radius[e],2),[n,a]=this.renderer.xscale.r_compute(i,this._x[e]),[_,o]=this.renderer.yscale.r_compute(r,this._y[e]),h=Math.pow(n-a,2)+Math.pow(_-o,2);h<=t&&h>=s&&l.push([e,h])}const d=this.model.properties.direction.value(),c=[];for(const[e,i]of l){const r=Math.atan2(s-this.sy[e],t-this.sx[e]);o.angle_between(-r,-this._start_angle[e],-this._end_angle[e],d)&&c.push([e,i])}return a.create_hit_test_result_from_hits(c)}draw_legend_for_index(e,t,s){n.generic_area_legend(this.visuals,e,t,s)}_scenterxy(e){const t=(this.sinner_radius[e]+this.souter_radius[e])/2,s=(this._start_angle[e]+this._end_angle[e])/2;return{x:this.sx[e]+t*Math.cos(s),y:this.sy[e]+t*Math.sin(s)}}scenterx(e){return this._scenterxy(e).x}scentery(e){return this._scenterxy(e).y}}s.AnnularWedgeView=h,h.__name__=\"AnnularWedgeView\";class u extends r.XYGlyph{constructor(e){super(e)}static init_AnnularWedge(){this.prototype.default_view=h,this.mixins([\"line\",\"fill\"]),this.define({direction:[_.Direction,\"anticlock\"],inner_radius:[_.DistanceSpec],outer_radius:[_.DistanceSpec],start_angle:[_.AngleSpec],end_angle:[_.AngleSpec]})}}s.AnnularWedge=u,u.__name__=\"AnnularWedge\",u.init_AnnularWedge()},\n",
       "      function _(s,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=s(1),r=s(81),a=e.__importStar(s(87)),n=e.__importStar(s(19)),_=s(101);class u extends r.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=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=this._outer_radius}_render(s,t,{sx:i,sy:e,sinner_radius:r,souter_radius:a}){for(const n of t)if(!isNaN(i[n]+e[n]+r[n]+a[n])){if(this.visuals.fill.doit){if(this.visuals.fill.set_vectorize(s,n),s.beginPath(),_.is_ie)for(const t of[!1,!0])s.arc(i[n],e[n],r[n],0,Math.PI,t),s.arc(i[n],e[n],a[n],Math.PI,0,!t);else s.arc(i[n],e[n],r[n],0,2*Math.PI,!0),s.arc(i[n],e[n],a[n],2*Math.PI,0,!1);s.fill()}this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,n),s.beginPath(),s.arc(i[n],e[n],r[n],0,2*Math.PI),s.moveTo(i[n]+a[n],e[n]),s.arc(i[n],e[n],a[n],0,2*Math.PI),s.stroke())}}_hit_point(s){const{sx:t,sy:i}=s,e=this.renderer.xscale.invert(t),r=this.renderer.yscale.invert(i);let n,_,u,o;if(\"data\"==this.model.properties.outer_radius.units)n=e-this.max_outer_radius,u=e+this.max_outer_radius,_=r-this.max_outer_radius,o=r+this.max_outer_radius;else{const s=t-this.max_outer_radius,e=t+this.max_outer_radius;[n,u]=this.renderer.xscale.r_invert(s,e);const r=i-this.max_outer_radius,a=i+this.max_outer_radius;[_,o]=this.renderer.yscale.r_invert(r,a)}const h=[];for(const s of this.index.indices({x0:n,x1:u,y0:_,y1:o})){const t=Math.pow(this.souter_radius[s],2),i=Math.pow(this.sinner_radius[s],2),[a,n]=this.renderer.xscale.r_compute(e,this._x[s]),[_,u]=this.renderer.yscale.r_compute(r,this._y[s]),o=Math.pow(a-n,2)+Math.pow(_-u,2);o<=t&&o>=i&&h.push([s,o])}return a.create_hit_test_result_from_hits(h)}draw_legend_for_index(s,{x0:t,y0:i,x1:e,y1:r},a){const n=a+1,_=new Array(n);_[a]=(t+e)/2;const u=new Array(n);u[a]=(i+r)/2;const o=.5*Math.min(Math.abs(e-t),Math.abs(r-i)),h=new Array(n);h[a]=.4*o;const d=new Array(n);d[a]=.8*o,this._render(s,[a],{sx:_,sy:u,sinner_radius:h,souter_radius:d})}}i.AnnulusView=u,u.__name__=\"AnnulusView\";class o extends r.XYGlyph{constructor(s){super(s)}static init_Annulus(){this.prototype.default_view=u,this.mixins([\"line\",\"fill\"]),this.define({inner_radius:[n.DistanceSpec],outer_radius:[n.DistanceSpec]})}}i.Annulus=o,o.__name__=\"Annulus\",o.init_Annulus()},\n",
       "      function _(e,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=e(1),r=e(81),n=e(90),a=t.__importStar(e(19));class _ extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius):this.sradius=this._radius}_render(e,i,{sx:s,sy:t,sradius:r,_start_angle:n,_end_angle:a}){if(this.visuals.line.doit){const _=this.model.properties.direction.value();for(const c of i)isNaN(s[c]+t[c]+r[c]+n[c]+a[c])||(e.beginPath(),e.arc(s[c],t[c],r[c],n[c],a[c],_),this.visuals.line.set_vectorize(e,c),e.stroke())}}draw_legend_for_index(e,i,s){n.generic_line_legend(this.visuals,e,i,s)}}s.ArcView=_,_.__name__=\"ArcView\";class c extends r.XYGlyph{constructor(e){super(e)}static init_Arc(){this.prototype.default_view=_,this.mixins([\"line\"]),this.define({direction:[a.Direction,\"anticlock\"],radius:[a.DistanceSpec],start_angle:[a.AngleSpec],end_angle:[a.AngleSpec]})}}s.Arc=c,c.__name__=\"Arc\",c.init_Arc()},\n",
       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(82),n=t(86),c=t(90);function o(t,e,i,s,n,c,o,h){const r=[],_=[[],[]];for(let _=0;_<=2;_++){let a,x,l;if(0===_?(x=6*t-12*i+6*n,a=-3*t+9*i-9*n+3*o,l=3*i-3*t):(x=6*e-12*s+6*c,a=-3*e+9*s-9*c+3*h,l=3*s-3*e),Math.abs(a)<1e-12){if(Math.abs(x)<1e-12)continue;const t=-l/x;0<t&&t<1&&r.push(t);continue}const y=x*x-4*l*a,u=Math.sqrt(y);if(y<0)continue;const d=(-x+u)/(2*a);0<d&&d<1&&r.push(d);const f=(-x-u)/(2*a);0<f&&f<1&&r.push(f)}let a=r.length;const x=a;for(;a--;){const x=r[a],l=1-x,y=l*l*l*t+3*l*l*x*i+3*l*x*x*n+x*x*x*o;_[0][a]=y;const u=l*l*l*e+3*l*l*x*s+3*l*x*x*c+x*x*x*h;_[1][a]=u}return _[0][x]=t,_[1][x]=e,_[0][x+1]=o,_[1][x+1]=h,[Math.min(..._[0]),Math.max(..._[1]),Math.max(..._[0]),Math.min(..._[1])]}class h extends n.GlyphView{_index_data(){const t=[];for(let e=0,i=this._x0.length;e<i;e++){if(isNaN(this._x0[e]+this._x1[e]+this._y0[e]+this._y1[e]+this._cx0[e]+this._cy0[e]+this._cx1[e]+this._cy1[e]))continue;const[i,s,n,c]=o(this._x0[e],this._y0[e],this._x1[e],this._y1[e],this._cx0[e],this._cy0[e],this._cx1[e],this._cy1[e]);t.push({x0:i,y0:s,x1:n,y1:c,i:e})}return new s.SpatialIndex(t)}_render(t,e,{sx0:i,sy0:s,sx1:n,sy1:c,scx0:o,scy0:h,scx1:r,scy1:_}){if(this.visuals.line.doit)for(const a of e)isNaN(i[a]+s[a]+n[a]+c[a]+o[a]+h[a]+r[a]+_[a])||(t.beginPath(),t.moveTo(i[a],s[a]),t.bezierCurveTo(o[a],h[a],r[a],_[a],n[a],c[a]),this.visuals.line.set_vectorize(t,a),t.stroke())}draw_legend_for_index(t,e,i){c.generic_line_legend(this.visuals,t,e,i)}scenterx(){throw new Error(\"not implemented\")}scentery(){throw new Error(\"not implemented\")}}i.BezierView=h,h.__name__=\"BezierView\";class r extends n.Glyph{constructor(t){super(t)}static init_Bezier(){this.prototype.default_view=h,this.coords([[\"x0\",\"y0\"],[\"x1\",\"y1\"],[\"cx0\",\"cy0\"],[\"cx1\",\"cy1\"]]),this.mixins([\"line\"])}}i.Bezier=r,r.__name__=\"Bezier\",r.init_Bezier()},\n",
       "      function _(s,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=s(1),r=s(81),a=t.__importStar(s(87)),n=t.__importStar(s(19)),h=s(9),d=s(12);class _ extends r.XYGlyphView{_map_data(){if(null!=this._radius)if(\"data\"==this.model.properties.radius.spec.units){switch(this.model.properties.radius_dimension.spec.value){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=d.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=d.map(s,(s,e)=>Math.min(s,i[e]));break}}}else this.sradius=this._radius,this.max_size=2*this.max_radius;else this.sradius=d.map(this._size,s=>s/2)}_mask_data(){const[s,i]=this.renderer.plot_view.frame.bbox.ranges;let e,t,r,a;if(null!=this._radius&&\"data\"==this.model.properties.radius.units){const n=s.start,h=s.end;[e,r]=this.renderer.xscale.r_invert(n,h),e-=this.max_radius,r+=this.max_radius;const d=i.start,_=i.end;[t,a]=this.renderer.yscale.r_invert(d,_),t-=this.max_radius,a+=this.max_radius}else{const n=s.start-this.max_size,h=s.end+this.max_size;[e,r]=this.renderer.xscale.r_invert(n,h);const d=i.start-this.max_size,_=i.end+this.max_size;[t,a]=this.renderer.yscale.r_invert(d,_)}return this.index.indices({x0:e,x1:r,y0:t,y1:a})}_render(s,i,{sx:e,sy:t,sradius:r}){for(const a of i)isNaN(e[a]+t[a]+r[a])||(s.beginPath(),s.arc(e[a],t[a],r[a],0,2*Math.PI,!1),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(s,a),s.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,a),s.stroke()))}_hit_point(s){const{sx:i,sy:e}=s,t=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(e);let n,h,d,_;if(null!=this._radius&&\"data\"==this.model.properties.radius.units)n=t-this.max_radius,h=t+this.max_radius,d=r-this.max_radius,_=r+this.max_radius;else{const s=i-this.max_size,t=i+this.max_size;[n,h]=this.renderer.xscale.r_invert(s,t);const r=e-this.max_size,a=e+this.max_size;[d,_]=this.renderer.yscale.r_invert(r,a)}const l=this.index.indices({x0:n,x1:h,y0:d,y1:_}),c=[];if(null!=this._radius&&\"data\"==this.model.properties.radius.units)for(const s of l){const i=Math.pow(this.sradius[s],2),[e,a]=this.renderer.xscale.r_compute(t,this._x[s]),[n,h]=this.renderer.yscale.r_compute(r,this._y[s]),d=Math.pow(e-a,2)+Math.pow(n-h,2);d<=i&&c.push([s,d])}else for(const s of l){const t=Math.pow(this.sradius[s],2),r=Math.pow(this.sx[s]-i,2)+Math.pow(this.sy[s]-e,2);r<=t&&c.push([s,r])}return a.create_hit_test_result_from_hits(c)}_hit_span(s){const{sx:i,sy:e}=s,t=this.bounds(),r=a.create_empty_hit_test_result();let n,h,d,_;if(\"h\"==s.direction){let s,e;if(d=t.y0,_=t.y1,null!=this._radius&&\"data\"==this.model.properties.radius.units)s=i-this.max_radius,e=i+this.max_radius,[n,h]=this.renderer.xscale.r_invert(s,e);else{const t=this.max_size/2;s=i-t,e=i+t,[n,h]=this.renderer.xscale.r_invert(s,e)}}else{let s,i;if(n=t.x0,h=t.x1,null!=this._radius&&\"data\"==this.model.properties.radius.units)s=e-this.max_radius,i=e+this.max_radius,[d,_]=this.renderer.yscale.r_invert(s,i);else{const t=this.max_size/2;s=e-t,i=e+t,[d,_]=this.renderer.yscale.r_invert(s,i)}}const l=this.index.indices({x0:n,x1:h,y0:d,y1:_});return r.indices=l,r}_hit_rect(s){const{sx0:i,sx1:e,sy0:t,sy1:r}=s,[n,h]=this.renderer.xscale.r_invert(i,e),[d,_]=this.renderer.yscale.r_invert(t,r),l=a.create_empty_hit_test_result();return l.indices=this.index.indices({x0:n,x1:h,y0:d,y1:_}),l}_hit_poly(s){const{sx:i,sy:e}=s,t=h.range(0,this.sx.length),r=[];for(let s=0,n=t.length;s<n;s++){const n=t[s];a.point_in_poly(this.sx[s],this.sy[s],i,e)&&r.push(n)}const n=a.create_empty_hit_test_result();return n.indices=r,n}draw_legend_for_index(s,{x0:i,y0:e,x1:t,y1:r},a){const n=a+1,h=new Array(n);h[a]=(i+t)/2;const d=new Array(n);d[a]=(e+r)/2;const _=new Array(n);_[a]=.2*Math.min(Math.abs(t-i),Math.abs(r-e)),this._render(s,[a],{sx:h,sy:d,sradius:_})}}e.CircleView=_,_.__name__=\"CircleView\";class l extends r.XYGlyph{constructor(s){super(s)}static init_Circle(){this.prototype.default_view=_,this.mixins([\"line\",\"fill\"]),this.define({angle:[n.AngleSpec,0],size:[n.DistanceSpec,{units:\"screen\",value:4}],radius:[n.DistanceSpec],radius_dimension:[n.RadiusDimension,\"x\"]})}initialize(){super.initialize(),this.properties.radius.optional=!0}}e.Circle=l,l.__name__=\"Circle\",l.init_Circle()},\n",
       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const a=e(1),i=e(81),l=a.__importStar(e(19));class s extends i.XYGlyphView{}n.CenterRotatableView=s,s.__name__=\"CenterRotatableView\";class _ extends i.XYGlyph{constructor(e){super(e)}static init_CenterRotatable(){this.mixins([\"line\",\"fill\"]),this.define({angle:[l.AngleSpec,0],width:[l.DistanceSpec],height:[l.DistanceSpec]})}}n.CenterRotatable=_,_.__name__=\"CenterRotatable\",_.init_CenterRotatable()},\n",
       "      function _(e,l,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(215);class t extends s.EllipseOvalView{}i.EllipseView=t,t.__name__=\"EllipseView\";class _ extends s.EllipseOval{constructor(e){super(e)}static init_Ellipse(){this.prototype.default_view=t}}i.Ellipse=_,_.__name__=\"Ellipse\",_.init_Ellipse()},\n",
       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),h=t(213),r=i.__importStar(t(87));class a extends h.CenterRotatableView{_set_data(){this.max_w2=0,\"data\"==this.model.properties.width.units&&(this.max_w2=this.max_width/2),this.max_h2=0,\"data\"==this.model.properties.height.units&&(this.max_h2=this.max_height/2)}_map_data(){\"data\"==this.model.properties.width.units?this.sw=this.sdist(this.renderer.xscale,this._x,this._width,\"center\"):this.sw=this._width,\"data\"==this.model.properties.height.units?this.sh=this.sdist(this.renderer.yscale,this._y,this._height,\"center\"):this.sh=this._height}_render(t,s,{sx:e,sy:i,sw:h,sh:r,_angle:a}){for(const _ of s)isNaN(e[_]+i[_]+h[_]+r[_]+a[_])||(t.beginPath(),t.ellipse(e[_],i[_],h[_]/2,r[_]/2,a[_],0,2*Math.PI),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(t,_),t.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(t,_),t.stroke()))}_hit_point(t){let s,e,i,h,a,_,n,l,d,o;const{sx:x,sy:m}=t,c=this.renderer.xscale.invert(x),w=this.renderer.yscale.invert(m);\"data\"==this.model.properties.width.units?(s=c-this.max_width,e=c+this.max_width):(n=x-this.max_width,l=x+this.max_width,[s,e]=this.renderer.xscale.r_invert(n,l)),\"data\"==this.model.properties.height.units?(i=w-this.max_height,h=w+this.max_height):(d=m-this.max_height,o=m+this.max_height,[i,h]=this.renderer.yscale.r_invert(d,o));const p=this.index.indices({x0:s,x1:e,y0:i,y1:h}),y=[];for(const t of p)a=r.point_in_ellipse(x,m,this._angle[t],this.sh[t]/2,this.sw[t]/2,this.sx[t],this.sy[t]),a&&([n,l]=this.renderer.xscale.r_compute(c,this._x[t]),[d,o]=this.renderer.yscale.r_compute(w,this._y[t]),_=Math.pow(n-l,2)+Math.pow(d-o,2),y.push([t,_]));return r.create_hit_test_result_from_hits(y)}draw_legend_for_index(t,{x0:s,y0:e,x1:i,y1:h},r){const a=r+1,_=new Array(a);_[r]=(s+i)/2;const n=new Array(a);n[r]=(e+h)/2;const l=this.sw[r]/this.sh[r],d=.8*Math.min(Math.abs(i-s),Math.abs(h-e)),o=new Array(a),x=new Array(a);l>1?(o[r]=d,x[r]=d/l):(o[r]=d*l,x[r]=d),this._render(t,[r],{sx:_,sy:n,sw:o,sh:x,_angle:[0]})}_bounds({x0:t,x1:s,y0:e,y1:i}){return{x0:t-this.max_w2,x1:s+this.max_w2,y0:e-this.max_h2,y1:i+this.max_h2}}}e.EllipseOvalView=a,a.__name__=\"EllipseOvalView\";class _ extends h.CenterRotatable{constructor(t){super(t)}}e.EllipseOval=_,_.__name__=\"EllipseOval\"},\n",
       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),h=t(217),r=i.__importStar(t(19));class _ extends h.BoxView{scenterx(t){return(this.sleft[t]+this.sright[t])/2}scentery(t){return this.sy[t]}_index_data(){return this._index_box(this._y.length)}_lrtb(t){return[Math.min(this._left[t],this._right[t]),Math.max(this._left[t],this._right[t]),this._y[t]+.5*this._height[t],this._y[t]-.5*this._height[t]]}_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 Float64Array(t),this.sbottom=new Float64Array(t);for(let s=0;s<t;s++)this.stop[s]=this.sy[s]-this.sh[s]/2,this.sbottom[s]=this.sy[s]+this.sh[s]/2;this._clamp_viewport()}}e.HBarView=_,_.__name__=\"HBarView\";class a extends h.Box{constructor(t){super(t)}static init_HBar(){this.prototype.default_view=_,this.coords([[\"left\",\"y\"]]),this.define({height:[r.NumberSpec],right:[r.CoordinateSpec]}),this.override({left:0})}}e.HBar=a,a.__name__=\"HBar\",a.init_HBar()},\n",
       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),r=t(82),n=t(86),h=t(90),a=i.__importStar(t(87));class o extends n.GlyphView{get_anchor_point(t,e,s){const i=Math.min(this.sleft[e],this.sright[e]),r=Math.max(this.sright[e],this.sleft[e]),n=Math.min(this.stop[e],this.sbottom[e]),h=Math.max(this.sbottom[e],this.stop[e]);switch(t){case\"top_left\":return{x:i,y:n};case\"top_center\":return{x:(i+r)/2,y:n};case\"top_right\":return{x:r,y:n};case\"bottom_left\":return{x:i,y:h};case\"bottom_center\":return{x:(i+r)/2,y:h};case\"bottom_right\":return{x:r,y:h};case\"center_left\":return{x:i,y:(n+h)/2};case\"center\":return{x:(i+r)/2,y:(n+h)/2};case\"center_right\":return{x:r,y:(n+h)/2};default:return null}}_index_box(t){const e=[];for(let s=0;s<t;s++){const[t,i,r,n]=this._lrtb(s);!isNaN(t+i+r+n)&&isFinite(t+i+r+n)&&e.push({x0:Math.min(t,i),y0:Math.min(r,n),x1:Math.max(i,t),y1:Math.max(r,n),i:s})}return new r.SpatialIndex(e)}_render(t,e,{sleft:s,sright:i,stop:r,sbottom:n}){for(const h of e)isNaN(s[h]+r[h]+i[h]+n[h])||(t.rect(s[h],r[h],i[h]-s[h],n[h]-r[h]),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(t,h),t.beginPath(),t.rect(s[h],r[h],i[h]-s[h],n[h]-r[h]),t.fill()),this.visuals.hatch.doit2(t,h,()=>{t.beginPath(),t.rect(s[h],r[h],i[h]-s[h],n[h]-r[h]),t.fill()},()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(t,h),t.beginPath(),t.rect(s[h],r[h],i[h]-s[h],n[h]-r[h]),t.stroke()))}_clamp_viewport(){const t=this.renderer.plot_view.frame.bbox.h_range,e=this.renderer.plot_view.frame.bbox.v_range,s=this.stop.length;for(let i=0;i<s;i++)this.stop[i]=Math.max(this.stop[i],e.start),this.sbottom[i]=Math.min(this.sbottom[i],e.end),this.sleft[i]=Math.max(this.sleft[i],t.start),this.sright[i]=Math.min(this.sright[i],t.end)}_hit_rect(t){return this._hit_rect_against_index(t)}_hit_point(t){const{sx:e,sy:s}=t,i=this.renderer.xscale.invert(e),r=this.renderer.yscale.invert(s),n=this.index.indices({x0:i,y0:r,x1:i,y1:r}),h=a.create_empty_hit_test_result();return h.indices=n,h}_hit_span(t){const{sx:e,sy:s}=t;let i;if(\"v\"==t.direction){const t=this.renderer.yscale.invert(s),e=this.renderer.plot_view.frame.bbox.h_range,[r,n]=this.renderer.xscale.r_invert(e.start,e.end);i=this.index.indices({x0:r,y0:t,x1:n,y1:t})}else{const t=this.renderer.xscale.invert(e),s=this.renderer.plot_view.frame.bbox.v_range,[r,n]=this.renderer.yscale.r_invert(s.start,s.end);i=this.index.indices({x0:t,y0:r,x1:t,y1:n})}const r=a.create_empty_hit_test_result();return r.indices=i,r}draw_legend_for_index(t,e,s){h.generic_area_legend(this.visuals,t,e,s)}}s.BoxView=o,o.__name__=\"BoxView\";class _ extends n.Glyph{constructor(t){super(t)}static init_Box(){this.mixins([\"line\",\"fill\",\"hatch\"])}}s.Box=_,_.__name__=\"Box\",_.init_Box()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(86),n=i.__importStar(e(87)),a=i.__importStar(e(19)),h=e(82),_=e(90);class l extends r.GlyphView{scenterx(e){return this.sx[e]}scentery(e){return this.sy[e]}_set_data(){const e=this._q.length,t=this.model.size,s=this.model.aspect_scale;if(this._x=new Float64Array(e),this._y=new Float64Array(e),\"pointytop\"==this.model.orientation)for(let i=0;i<e;i++)this._x[i]=t*Math.sqrt(3)*(this._q[i]+this._r[i]/2)/s,this._y[i]=3*-t/2*this._r[i];else for(let i=0;i<e;i++)this._x[i]=3*t/2*this._q[i],this._y[i]=-t*Math.sqrt(3)*(this._r[i]+this._q[i]/2)*s}_index_data(){let e=this.model.size,t=Math.sqrt(3)*e/2;\"flattop\"==this.model.orientation?([t,e]=[e,t],e*=this.model.aspect_scale):t/=this.model.aspect_scale;const s=[];for(let i=0;i<this._x.length;i++){const r=this._x[i],n=this._y[i];!isNaN(r+n)&&isFinite(r+n)&&s.push({x0:r-t,y0:n-e,x1:r+t,y1:n+e,i:i})}return new h.SpatialIndex(s)}map_data(){[this.sx,this.sy]=this.map_to_screen(this._x,this._y),[this.svx,this.svy]=this._get_unscaled_vertices()}_get_unscaled_vertices(){const e=this.model.size,t=this.model.aspect_scale;if(\"pointytop\"==this.model.orientation){const s=this.renderer.yscale,i=this.renderer.xscale,r=Math.abs(s.compute(0)-s.compute(e)),n=Math.sqrt(3)/2*Math.abs(i.compute(0)-i.compute(e))/t,a=r/2;return[[0,-n,-n,0,n,n],[r,a,-a,-r,-a,a]]}{const s=this.renderer.xscale,i=this.renderer.yscale,r=Math.abs(s.compute(0)-s.compute(e)),n=Math.sqrt(3)/2*Math.abs(i.compute(0)-i.compute(e))*t,a=r/2;return[[r,a,-a,-r,-a,a],[0,-n,-n,0,n,n]]}}_render(e,t,{sx:s,sy:i,svx:r,svy:n,_scale:a}){for(const h of t)if(!isNaN(s[h]+i[h]+a[h])){e.translate(s[h],i[h]),e.beginPath();for(let t=0;t<6;t++)e.lineTo(r[t]*a[h],n[t]*a[h]);e.closePath(),e.translate(-s[h],-i[h]),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,h),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,h),e.stroke())}}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),r=this.renderer.yscale.invert(s),a=this.index.indices({x0:i,y0:r,x1:i,y1:r}),h=[];for(const e of a)n.point_in_poly(t-this.sx[e],s-this.sy[e],this.svx,this.svy)&&h.push(e);const _=n.create_empty_hit_test_result();return _.indices=h,_}_hit_span(e){const{sx:t,sy:s}=e;let i;if(\"v\"==e.direction){const e=this.renderer.yscale.invert(s),t=this.renderer.plot_view.frame.bbox.h_range,[r,n]=this.renderer.xscale.r_invert(t.start,t.end);i=this.index.indices({x0:r,y0:e,x1:n,y1:e})}else{const e=this.renderer.xscale.invert(t),s=this.renderer.plot_view.frame.bbox.v_range,[r,n]=this.renderer.yscale.r_invert(s.start,s.end);i=this.index.indices({x0:e,y0:r,x1:e,y1:n})}const r=n.create_empty_hit_test_result();return r.indices=i,r}_hit_rect(e){const{sx0:t,sx1:s,sy0:i,sy1:r}=e,[a,h]=this.renderer.xscale.r_invert(t,s),[_,l]=this.renderer.yscale.r_invert(i,r),o=n.create_empty_hit_test_result();return o.indices=this.index.indices({x0:a,x1:h,y0:_,y1:l}),o}draw_legend_for_index(e,t,s){_.generic_area_legend(this.visuals,e,t,s)}}s.HexTileView=l,l.__name__=\"HexTileView\";class o extends r.Glyph{constructor(e){super(e)}static init_HexTile(){this.prototype.default_view=l,this.coords([[\"r\",\"q\"]]),this.mixins([\"line\",\"fill\"]),this.define({size:[a.Number,1],aspect_scale:[a.Number,1],scale:[a.NumberSpec,1],orientation:[a.HexTileOrientation,\"pointytop\"]}),this.override({line_color:null})}}s.HexTile=o,o.__name__=\"HexTile\",o.init_HexTile()},\n",
       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(1),s=e(220),_=e(114),n=i.__importStar(e(19)),h=e(9);class o extends s.ImageBaseView{initialize(){super.initialize(),this.connect(this.model.color_mapper.change,()=>this._update_image()),this.connect(this.model.properties.global_alpha.change,()=>this.renderer.request_render())}_update_image(){null!=this.image_data&&(this._set_data(),this.renderer.plot_view.request_render())}_set_data(){this._set_width_heigh_data();const e=this.model.color_mapper.rgba_mapper;for(let t=0,a=this._image.length;t<a;t++){let a;if(null!=this._image_shape&&this._image_shape[t].length>0){a=this._image[t];const e=this._image_shape[t];this._height[t]=e[0],this._width[t]=e[1]}else{const e=this._image[t];a=h.concat(e),this._height[t]=e.length,this._width[t]=e[0].length}const i=e.v_compute(a);this._set_image_data_from_buffer(t,i)}}_render(e,t,{image_data:a,sx:i,sy:s,sw:_,sh:n}){const h=e.getImageSmoothingEnabled();e.setImageSmoothingEnabled(!1),e.globalAlpha=this.model.global_alpha;for(const h of t){if(null==a[h])continue;if(isNaN(i[h]+s[h]+_[h]+n[h]))continue;const t=s[h];e.translate(0,t),e.scale(1,-1),e.translate(0,-t),e.drawImage(a[h],0|i[h],0|s[h],_[h],n[h]),e.translate(0,t),e.scale(1,-1),e.translate(0,-t)}e.setImageSmoothingEnabled(h)}}a.ImageView=o,o.__name__=\"ImageView\";class l extends s.ImageBase{constructor(e){super(e)}static init_Image(){this.prototype.default_view=o,this.define({color_mapper:[n.Instance,()=>new _.LinearColorMapper({palette:[\"#000000\",\"#252525\",\"#525252\",\"#737373\",\"#969696\",\"#bdbdbd\",\"#d9d9d9\",\"#f0f0f0\",\"#ffffff\"]})]})}}a.Image=l,l.__name__=\"Image\",l.init_Image()},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),h=e(81),a=s.__importStar(e(19)),_=s.__importStar(e(87)),r=e(82);class n extends h.XYGlyphView{_render(e,t,i){}_index_data(){const e=[];for(let t=0,i=this._x.length;t<i;t++){const[i,s,h,a]=this._lrtb(t);!isNaN(i+s+h+a)&&isFinite(i+s+h+a)&&e.push({x0:i,y0:a,x1:s,y1:h,i:t})}return new r.SpatialIndex(e)}_lrtb(e){const t=this.renderer.xscale.source_range,i=this._x[e],s=t.is_reversed?i-this._dw[e]:i+this._dw[e],h=this.renderer.yscale.source_range,a=this._y[e],_=h.is_reversed?a-this._dh[e]:a+this._dh[e],[r,n]=i<s?[i,s]:[s,i],[d,g]=a<_?[a,_]:[_,a];return[r,n,g,d]}_set_width_heigh_data(){null!=this.image_data&&this.image_data.length==this._image.length||(this.image_data=new Array(this._image.length)),null!=this._width&&this._width.length==this._image.length||(this._width=new Array(this._image.length)),null!=this._height&&this._height.length==this._image.length||(this._height=new Array(this._image.length))}_get_or_create_canvas(e){const t=this.image_data[e];if(null!=t&&t.width==this._width[e]&&t.height==this._height[e])return t;{const t=document.createElement(\"canvas\");return t.width=this._width[e],t.height=this._height[e],t}}_set_image_data_from_buffer(e,t){const i=this._get_or_create_canvas(e),s=i.getContext(\"2d\"),h=s.getImageData(0,0,this._width[e],this._height[e]);h.data.set(t),s.putImageData(h,0,0),this.image_data[e]=i}_map_data(){switch(this.model.properties.dw.units){case\"data\":this.sw=this.sdist(this.renderer.xscale,this._x,this._dw,\"edge\",this.model.dilate);break;case\"screen\":this.sw=this._dw}switch(this.model.properties.dh.units){case\"data\":this.sh=this.sdist(this.renderer.yscale,this._y,this._dh,\"edge\",this.model.dilate);break;case\"screen\":this.sh=this._dh}}_image_index(e,t,i){const[s,h,a,_]=this._lrtb(e),r=this._width[e],n=this._height[e],d=(h-s)/r,g=(a-_)/n;let l=Math.floor((t-s)/d),c=Math.floor((i-_)/g);return this.renderer.xscale.source_range.is_reversed&&(l=r-l-1),this.renderer.yscale.source_range.is_reversed&&(c=n-c-1),{index:e,dim1:l,dim2:c,flat_index:c*r+l}}_hit_point(e){const{sx:t,sy:i}=e,s=this.renderer.xscale.invert(t),h=this.renderer.yscale.invert(i),a=this.index.indices({x0:s,x1:s,y0:h,y1:h}),r=_.create_empty_hit_test_result();r.image_indices=[];for(const e of a)t!=1/0&&i!=1/0&&r.image_indices.push(this._image_index(e,s,h));return r}}i.ImageBaseView=n,n.__name__=\"ImageBaseView\";class d extends h.XYGlyph{constructor(e){super(e)}static init_ImageBase(){this.prototype.default_view=n,this.define({image:[a.NumberSpec],dw:[a.DistanceSpec],dh:[a.DistanceSpec],dilate:[a.Boolean,!1],global_alpha:[a.Number,1]})}}i.ImageBase=d,d.__name__=\"ImageBase\",d.init_ImageBase()},\n",
       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(220),s=e(9);class n extends i.ImageBaseView{initialize(){super.initialize(),this.connect(this.model.properties.global_alpha.change,()=>this.renderer.request_render())}_set_data(e){this._set_width_heigh_data();for(let t=0,a=this._image.length;t<a;t++){if(null!=e&&e.indexOf(t)<0)continue;let a;if(null!=this._image_shape&&this._image_shape[t].length>0){a=this._image[t].buffer;const e=this._image_shape[t];this._height[t]=e[0],this._width[t]=e[1]}else{const e=this._image[t],i=s.concat(e);a=new ArrayBuffer(4*i.length);const n=new Uint32Array(a);for(let e=0,t=i.length;e<t;e++)n[e]=i[e];this._height[t]=e.length,this._width[t]=e[0].length}const i=new Uint8Array(a);this._set_image_data_from_buffer(t,i)}}_render(e,t,{image_data:a,sx:i,sy:s,sw:n,sh:h}){const _=e.getImageSmoothingEnabled();e.setImageSmoothingEnabled(!1),e.globalAlpha=this.model.global_alpha;for(const _ of t){if(isNaN(i[_]+s[_]+n[_]+h[_]))continue;const t=s[_];e.translate(0,t),e.scale(1,-1),e.translate(0,-t),e.drawImage(a[_],0|i[_],0|s[_],n[_],h[_]),e.translate(0,t),e.scale(1,-1),e.translate(0,-t)}e.setImageSmoothingEnabled(_)}}a.ImageRGBAView=n,n.__name__=\"ImageRGBAView\";class h extends i.ImageBase{constructor(e){super(e)}static init_ImageRGBA(){this.prototype.default_view=n}}a.ImageRGBA=h,h.__name__=\"ImageRGBA\",h.init_ImageRGBA()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(81),a=i.__importStar(e(19)),n=e(12),h=e(82),l=e(223);class _ extends r.XYGlyphView{constructor(){super(...arguments),this._images_rendered=!1}initialize(){super.initialize(),this.connect(this.model.properties.global_alpha.change,()=>this.renderer.request_render())}_index_data(){return new h.SpatialIndex([])}_set_data(){null!=this.image&&this.image.length==this._url.length||(this.image=n.map(this._url,()=>null));const{retry_attempts:e,retry_timeout:t}=this.model;for(let s=0,i=this._url.length;s<i;s++){const i=this._url[s];null!=i&&\"\"!=i&&new l.ImageLoader(i,{loaded:e=>{this.image[s]=e,this.renderer.request_render()},attempts:e+1,timeout:t})}const s=\"data\"==this.model.properties.w.units,i=\"data\"==this.model.properties.h.units,r=this._x.length,a=new Array(s?2*r:r),h=new Array(i?2*r:r);for(let e=0;e<r;e++)a[e]=this._x[e],h[e]=this._y[e];if(s)for(let e=0;e<r;e++)a[r+e]=this._x[e]+this._w[e];if(i)for(let e=0;e<r;e++)h[r+e]=this._y[e]+this._h[e];const _=n.min(a),o=n.max(a),d=n.min(h),c=n.max(h);this._bounds_rect={x0:_,x1:o,y0:d,y1:c}}has_finished(){return super.has_finished()&&1==this._images_rendered}_map_data(){const e=null!=this.model.w?this._w:n.map(this._x,()=>NaN),t=null!=this.model.h?this._h:n.map(this._x,()=>NaN);switch(this.model.properties.w.units){case\"data\":this.sw=this.sdist(this.renderer.xscale,this._x,e,\"edge\",this.model.dilate);break;case\"screen\":this.sw=e}switch(this.model.properties.h.units){case\"data\":this.sh=this.sdist(this.renderer.yscale,this._y,t,\"edge\",this.model.dilate);break;case\"screen\":this.sh=t}}_render(e,t,{image:s,sx:i,sy:r,sw:a,sh:n,_angle:h}){const{frame:l}=this.renderer.plot_view;e.rect(l._left.value+1,l._top.value+1,l._width.value-2,l._height.value-2),e.clip();let _=!0;for(const l of t){if(isNaN(i[l]+r[l]+h[l]))continue;const t=s[l];null!=t?this._render_image(e,l,t,i,r,a,n,h):_=!1}_&&!this._images_rendered&&(this._images_rendered=!0,this.notify_finished())}_final_sx_sy(e,t,s,i,r){switch(e){case\"top_left\":return[t,s];case\"top_center\":return[t-i/2,s];case\"top_right\":return[t-i,s];case\"center_right\":return[t-i,s-r/2];case\"bottom_right\":return[t-i,s-r];case\"bottom_center\":return[t-i/2,s-r];case\"bottom_left\":return[t,s-r];case\"center_left\":return[t,s-r/2];case\"center\":return[t-i/2,s-r/2]}}_render_image(e,t,s,i,r,a,n,h){isNaN(a[t])&&(a[t]=s.width),isNaN(n[t])&&(n[t]=s.height);const{anchor:l}=this.model,[_,o]=this._final_sx_sy(l,i[t],r[t],a[t],n[t]);e.save(),e.globalAlpha=this.model.global_alpha;const d=a[t]/2,c=n[t]/2;h[t]?(e.translate(_,o),e.translate(d,c),e.rotate(h[t]),e.translate(-d,-c),e.drawImage(s,0,0,a[t],n[t]),e.translate(d,c),e.rotate(-h[t]),e.translate(-d,-c),e.translate(-_,-o)):e.drawImage(s,_,o,a[t],n[t]),e.restore()}bounds(){return this._bounds_rect}}s.ImageURLView=_,_.__name__=\"ImageURLView\";class o extends r.XYGlyph{constructor(e){super(e)}static init_ImageURL(){this.prototype.default_view=_,this.define({url:[a.StringSpec],anchor:[a.Anchor,\"top_left\"],global_alpha:[a.Number,1],angle:[a.AngleSpec,0],w:[a.DistanceSpec],h:[a.DistanceSpec],dilate:[a.Boolean,!1],retry_attempts:[a.Number,0],retry_timeout:[a.Number,0]})}}s.ImageURL=o,o.__name__=\"ImageURL\",o.init_ImageURL()},\n",
       "      function _(i,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=i(70);class a{constructor(i,e={}){this._image=new Image,this._finished=!1;const{attempts:t=1,timeout:a=1}=e;this.promise=new Promise((o,n)=>{this._image.crossOrigin=\"anonymous\";let r=0;this._image.onerror=()=>{if(++r==t){const a=`unable to load ${i} image after ${t} attempts`;if(s.logger.warn(a),null==this._image.crossOrigin)return void(null!=e.failed&&e.failed());s.logger.warn(`attempting to load ${i} without a cross origin policy`),this._image.crossOrigin=null,r=0}setTimeout(()=>this._image.src=i,a)},this._image.onload=()=>{this._finished=!0,null!=e.loaded&&e.loaded(this._image),o(this._image)},this._image.src=i})}get finished(){return this._finished}get image(){return this._image}}t.ImageLoader=a,a.__name__=\"ImageLoader\"},\n",
       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(82),r=i.__importStar(t(87)),l=t(23),o=t(9),_=t(8),h=t(86),c=t(90);class a extends h.GlyphView{_index_data(){const t=[];for(let e=0,s=this._xs.length;e<s;e++){if(null==this._xs[e]||0===this._xs[e].length)continue;const s=this._xs[e],i=[];for(let t=0,e=s.length;t<e;t++){const e=s[t];_.isStrictNaN(e)||i.push(e)}const n=this._ys[e],r=[];for(let t=0,e=n.length;t<e;t++){const e=n[t];_.isStrictNaN(e)||r.push(e)}const[l,h]=[o.min(i),o.max(i)],[c,a]=[o.min(r),o.max(r)];t.push({x0:l,y0:c,x1:h,y1:a,i:e})}return new n.SpatialIndex(t)}_render(t,e,{sxs:s,sys:i}){for(const n of e){const[e,r]=[s[n],i[n]];this.visuals.line.set_vectorize(t,n);for(let s=0,i=e.length;s<i;s++)0!=s?isNaN(e[s])||isNaN(r[s])?(t.stroke(),t.beginPath()):t.lineTo(e[s],r[s]):(t.beginPath(),t.moveTo(e[s],r[s]));t.stroke()}}_hit_point(t){const e=r.create_empty_hit_test_result(),s={x:t.sx,y:t.sy};let i=9999;const n={};for(let t=0,e=this.sxs.length;t<e;t++){const e=Math.max(2,this.visuals.line.cache_select(\"line_width\",t)/2);let l=null;for(let n=0,o=this.sxs[t].length-1;n<o;n++){const o={x:this.sxs[t][n],y:this.sys[t][n]},_={x:this.sxs[t][n+1],y:this.sys[t][n+1]},h=r.dist_to_segment(s,o,_);h<e&&h<i&&(i=h,l=[n])}l&&(n[t]=l)}return e.indices=l.keys(n).map(t=>parseInt(t,10)),e.multiline_indices=n,e}_hit_span(t){const{sx:e,sy:s}=t,i=r.create_empty_hit_test_result();let n,o;\"v\"===t.direction?(n=this.renderer.yscale.invert(s),o=this._ys):(n=this.renderer.xscale.invert(e),o=this._xs);const _={};for(let t=0,e=o.length;t<e;t++){const e=[];for(let s=0,i=o[t].length-1;s<i;s++)o[t][s]<=n&&n<=o[t][s+1]&&e.push(s);e.length>0&&(_[t]=e)}return i.indices=l.keys(_).map(t=>parseInt(t,10)),i.multiline_indices=_,i}get_interpolation_hit(t,e,s){const[i,n,r,l]=[this._xs[t][e],this._ys[t][e],this._xs[t][e+1],this._ys[t][e+1]];return c.line_interpolation(this.renderer,s,i,n,r,l)}draw_legend_for_index(t,e,s){c.generic_line_legend(this.visuals,t,e,s)}scenterx(){throw new Error(\"not implemented\")}scentery(){throw new Error(\"not implemented\")}}s.MultiLineView=a,a.__name__=\"MultiLineView\";class x extends h.Glyph{constructor(t){super(t)}static init_MultiLine(){this.prototype.default_view=a,this.coords([[\"xs\",\"ys\"]]),this.mixins([\"line\"])}}s.MultiLine=x,x.__name__=\"MultiLine\",x.init_MultiLine()},\n",
       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(82),r=t(86),l=t(90),o=t(9),h=t(12),_=i.__importStar(t(87)),a=t(8),c=t(11);class d extends r.GlyphView{_index_data(){const t=[];for(let e=0,s=this._xs.length;e<s;e++)for(let s=0,i=this._xs[e].length;s<i;s++){const i=this._xs[e][s][0],n=this._ys[e][s][0];0!=i.length&&t.push({x0:o.min(i),y0:o.min(n),x1:o.max(i),y1:o.max(n),i:e})}return this.hole_index=this._index_hole_data(),new n.SpatialIndex(t)}_index_hole_data(){const t=[];for(let e=0,s=this._xs.length;e<s;e++)for(let s=0,i=this._xs[e].length;s<i;s++)if(this._xs[e][s].length>1)for(let i=1,n=this._xs[e][s].length;i<n;i++){const n=this._xs[e][s][i],r=this._ys[e][s][i];0!=n.length&&t.push({x0:o.min(n),y0:o.min(r),x1:o.max(n),y1:o.max(r),i:e})}return new n.SpatialIndex(t)}_mask_data(){const t=this.renderer.plot_view.frame.x_ranges.default,[e,s]=[t.min,t.max],i=this.renderer.plot_view.frame.y_ranges.default,[n,r]=[i.min,i.max];return this.index.indices({x0:e,x1:s,y0:n,y1:r}).sort((t,e)=>t-e).filter((t,e,s)=>0===e||t!==s[e-1])}_inner_loop(t,e,s){t.beginPath();for(let i=0,n=e.length;i<n;i++)for(let n=0,r=e[i].length;n<r;n++){const r=e[i][n],l=s[i][n];for(let e=0,s=r.length;e<s;e++)0!=e?t.lineTo(r[e],l[e]):t.moveTo(r[e],l[e]);t.closePath()}}_render(t,e,{sxs:s,sys:i}){if(this.visuals.fill.doit||this.visuals.line.doit)for(const n of e){const[e,r]=[s[n],i[n]];this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(t,n),this._inner_loop(t,e,r),t.fill(\"evenodd\")),this.visuals.hatch.doit2(t,n,()=>{this._inner_loop(t,e,r),t.fill(\"evenodd\")},()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(t,n),this._inner_loop(t,e,r),t.stroke())}}_hit_rect(t){const{sx0:e,sx1:s,sy0:i,sy1:n}=t,r=[e,s,s,e],l=[i,i,n,n],[o,h]=this.renderer.xscale.r_invert(e,s),[a,c]=this.renderer.yscale.r_invert(i,n),d=this.index.indices({x0:o,x1:h,y0:a,y1:c}),x=[];for(let t=0,e=d.length;t<e;t++){const e=d[t],s=this.sxs[e],i=this.sys[e];let n=!0;for(let t=0,e=s.length;t<e;t++){for(let e=0,o=s[t][0].length;e<o;e++){const o=s[t][0][e],h=i[t][0][e];if(!_.point_in_poly(o,h,r,l)){n=!1;break}}if(!n)break}n&&x.push(e)}const y=_.create_empty_hit_test_result();return y.indices=x,y}_hit_point(t){const{sx:e,sy:s}=t,i=this.renderer.xscale.invert(e),n=this.renderer.yscale.invert(s),r=this.index.indices({x0:i,y0:n,x1:i,y1:n}),l=this.hole_index.indices({x0:i,y0:n,x1:i,y1:n}),o=[];for(let t=0,i=r.length;t<i;t++){const i=r[t],n=this.sxs[i],h=this.sys[i];for(let t=0,r=n.length;t<r;t++){const r=n[t].length;if(_.point_in_poly(e,s,n[t][0],h[t][0]))if(1==r)o.push(i);else if(-1==l.indexOf(i))o.push(i);else if(r>1){let l=!1;for(let i=1;i<r;i++){const r=n[t][i],o=h[t][i];if(_.point_in_poly(e,s,r,o)){l=!0;break}}l||o.push(i)}}}const h=_.create_empty_hit_test_result();return h.indices=o,h}_get_snap_coord(t){return h.sum(t)/t.length}scenterx(t,e,s){if(1==this.sxs[t].length)return this._get_snap_coord(this.sxs[t][0][0]);{const i=this.sxs[t],n=this.sys[t];for(let t=0,r=i.length;t<r;t++)if(_.point_in_poly(e,s,i[t][0],n[t][0]))return this._get_snap_coord(i[t][0])}c.unreachable()}scentery(t,e,s){if(1==this.sys[t].length)return this._get_snap_coord(this.sys[t][0][0]);{const i=this.sxs[t],n=this.sys[t];for(let t=0,r=i.length;t<r;t++)if(_.point_in_poly(e,s,i[t][0],n[t][0]))return this._get_snap_coord(n[t][0])}c.unreachable()}map_data(){const t=this;for(let[e,s]of this.model._coords){const i=`s${e}`,n=`s${s}`;if(e=`_${e}`,s=`_${s}`,null!=t[e]&&(a.isArray(t[e][0])||a.isTypedArray(t[e][0]))){const r=t[e].length;t[i]=new Array(r),t[n]=new Array(r);for(let l=0;l<r;l++){const r=t[e][l].length;t[i][l]=new Array(r),t[n][l]=new Array(r);for(let o=0;o<r;o++){const r=t[e][l][o].length;t[i][l][o]=new Array(r),t[n][l][o]=new Array(r);for(let h=0;h<r;h++){const[r,_]=this.map_to_screen(t[e][l][o][h],t[s][l][o][h]);t[i][l][o][h]=r,t[n][l][o][h]=_}}}}}}draw_legend_for_index(t,e,s){l.generic_area_legend(this.visuals,t,e,s)}}s.MultiPolygonsView=d,d.__name__=\"MultiPolygonsView\";class x extends r.Glyph{constructor(t){super(t)}static init_MultiPolygons(){this.prototype.default_view=d,this.coords([[\"xs\",\"ys\"]]),this.mixins([\"line\",\"fill\",\"hatch\"])}}s.MultiPolygons=x,x.__name__=\"MultiPolygons\",x.init_MultiPolygons()},\n",
       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(215);class h extends i.EllipseOvalView{_map_data(){let t;const e=this._x.length;this.sw=new Float64Array(e),t=\"data\"==this.model.properties.width.units?this.sdist(this.renderer.xscale,this._x,this._width,\"center\"):this._width;for(let s=0;s<e;s++)this.sw[s]=.75*t[s];\"data\"==this.model.properties.height.units?this.sh=this.sdist(this.renderer.yscale,this._y,this._height,\"center\"):this.sh=this._height}}s.OvalView=h,h.__name__=\"OvalView\";class a extends i.EllipseOval{constructor(t){super(t)}static init_Oval(){this.prototype.default_view=h}}s.Oval=a,a.__name__=\"Oval\",a.init_Oval()},\n",
       "      function _(s,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=s(1),n=s(82),r=s(86),o=s(90),_=s(9),l=s(12),h=s(8),c=i.__importStar(s(87)),a=s(11);class d extends r.GlyphView{_build_discontinuous_object(s){const t=[];for(let e=0,i=s.length;e<i;e++){t[e]=[];let i=_.copy(s[e]);for(;i.length>0;){const s=_.find_last_index(i,s=>h.isStrictNaN(s));let n;s>=0?n=i.splice(s):(n=i,i=[]);const r=n.filter(s=>!h.isStrictNaN(s));t[e].push(r)}}return t}_index_data(){const s=this._build_discontinuous_object(this._xs),t=this._build_discontinuous_object(this._ys),e=[];for(let i=0,n=this._xs.length;i<n;i++)for(let n=0,r=s[i].length;n<r;n++){const r=s[i][n],o=t[i][n];0!=r.length&&e.push({x0:_.min(r),y0:_.min(o),x1:_.max(r),y1:_.max(o),i:i})}return new n.SpatialIndex(e)}_mask_data(){const s=this.renderer.plot_view.frame.x_ranges.default,[t,e]=[s.min,s.max],i=this.renderer.plot_view.frame.y_ranges.default,[n,r]=[i.min,i.max];return this.index.indices({x0:t,x1:e,y0:n,y1:r}).sort((s,t)=>s-t)}_inner_loop(s,t,e,i){for(let n=0,r=t.length;n<r;n++)0!=n?isNaN(t[n]+e[n])?(s.closePath(),i.apply(s),s.beginPath()):s.lineTo(t[n],e[n]):(s.beginPath(),s.moveTo(t[n],e[n]));s.closePath(),i.call(s)}_render(s,t,{sxs:e,sys:i}){this.sxss=this._build_discontinuous_object(e),this.syss=this._build_discontinuous_object(i);for(const n of t){const[t,r]=[e[n],i[n]];this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(s,n),this._inner_loop(s,t,r,s.fill)),this.visuals.hatch.doit2(s,n,()=>this._inner_loop(s,t,r,s.fill),()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,n),this._inner_loop(s,t,r,s.stroke))}}_hit_rect(s){const{sx0:t,sx1:e,sy0:i,sy1:n}=s,r=[t,e,e,t],o=[i,i,n,n],[_,l]=this.renderer.xscale.r_invert(t,e),[h,a]=this.renderer.yscale.r_invert(i,n),d=this.index.indices({x0:_,x1:l,y0:h,y1:a}),u=[];for(let s=0,t=d.length;s<t;s++){const t=d[s],e=this.sxs[t],i=this.sys[t];let n=!0;for(let s=0,t=e.length;s<t;s++){const t=e[s],_=i[s];if(!c.point_in_poly(t,_,r,o)){n=!1;break}}n&&u.push(t)}const x=c.create_empty_hit_test_result();return x.indices=u,x}_hit_point(s){const{sx:t,sy:e}=s,i=this.renderer.xscale.invert(t),n=this.renderer.yscale.invert(e),r=this.index.indices({x0:i,y0:n,x1:i,y1:n}),o=[];for(let s=0,i=r.length;s<i;s++){const i=r[s],n=this.sxss[i],_=this.syss[i];for(let s=0,r=n.length;s<r;s++)c.point_in_poly(t,e,n[s],_[s])&&o.push(i)}const _=c.create_empty_hit_test_result();return _.indices=o,_}_get_snap_coord(s){return l.sum(s)/s.length}scenterx(s,t,e){if(1==this.sxss[s].length)return this._get_snap_coord(this.sxs[s]);{const i=this.sxss[s],n=this.syss[s];for(let s=0,r=i.length;s<r;s++)if(c.point_in_poly(t,e,i[s],n[s]))return this._get_snap_coord(i[s])}a.unreachable()}scentery(s,t,e){if(1==this.syss[s].length)return this._get_snap_coord(this.sys[s]);{const i=this.sxss[s],n=this.syss[s];for(let s=0,r=i.length;s<r;s++)if(c.point_in_poly(t,e,i[s],n[s]))return this._get_snap_coord(n[s])}a.unreachable()}draw_legend_for_index(s,t,e){o.generic_area_legend(this.visuals,s,t,e)}}e.PatchesView=d,d.__name__=\"PatchesView\";class u extends r.Glyph{constructor(s){super(s)}static init_Patches(){this.prototype.default_view=d,this.coords([[\"xs\",\"ys\"]]),this.mixins([\"line\",\"fill\",\"hatch\"])}}e.Patches=u,u.__name__=\"Patches\",u.init_Patches()},\n",
       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(217);class _ extends i.BoxView{scenterx(t){return(this.sleft[t]+this.sright[t])/2}scentery(t){return(this.stop[t]+this.sbottom[t])/2}_index_data(){return this._index_box(this._right.length)}_lrtb(t){return[this._left[t],this._right[t],this._top[t],this._bottom[t]]}}s.QuadView=_,_.__name__=\"QuadView\";class o extends i.Box{constructor(t){super(t)}static init_Quad(){this.prototype.default_view=_,this.coords([[\"right\",\"bottom\"],[\"left\",\"top\"]])}}s.Quad=o,o.__name__=\"Quad\",o.init_Quad()},\n",
       "      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(82),n=t(86),r=t(90);function a(t,i,e){if(i==(t+e)/2)return[t,e];{const s=(t-i)/(t-2*i+e),n=t*Math.pow(1-s,2)+2*i*(1-s)*s+e*Math.pow(s,2);return[Math.min(t,e,n),Math.max(t,e,n)]}}class _ extends n.GlyphView{_index_data(){const t=[];for(let i=0,e=this._x0.length;i<e;i++){if(isNaN(this._x0[i]+this._x1[i]+this._y0[i]+this._y1[i]+this._cx[i]+this._cy[i]))continue;const[e,s]=a(this._x0[i],this._cx[i],this._x1[i]),[n,r]=a(this._y0[i],this._cy[i],this._y1[i]);t.push({x0:e,y0:n,x1:s,y1:r,i:i})}return new s.SpatialIndex(t)}_render(t,i,{sx0:e,sy0:s,sx1:n,sy1:r,scx:a,scy:_}){if(this.visuals.line.doit)for(const c of i)isNaN(e[c]+s[c]+n[c]+r[c]+a[c]+_[c])||(t.beginPath(),t.moveTo(e[c],s[c]),t.quadraticCurveTo(a[c],_[c],n[c],r[c]),this.visuals.line.set_vectorize(t,c),t.stroke())}draw_legend_for_index(t,i,e){r.generic_line_legend(this.visuals,t,i,e)}scenterx(){throw new Error(\"not implemented\")}scentery(){throw new Error(\"not implemented\")}}e.QuadraticView=_,_.__name__=\"QuadraticView\";class c extends n.Glyph{constructor(t){super(t)}static init_Quadratic(){this.prototype.default_view=_,this.coords([[\"x0\",\"y0\"],[\"x1\",\"y1\"],[\"cx\",\"cy\"]]),this.mixins([\"line\"])}}e.Quadratic=c,c.__name__=\"Quadratic\",c.init_Quadratic()},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(81),a=e(90),l=s.__importStar(e(19));class r extends n.XYGlyphView{_map_data(){\"data\"==this.model.properties.length.units?this.slength=this.sdist(this.renderer.xscale,this._x,this._length):this.slength=this._length}_render(e,t,{sx:i,sy:s,slength:n,_angle:a}){if(this.visuals.line.doit){const l=2*(this.renderer.plot_view.frame._width.value+this.renderer.plot_view.frame._height.value);for(let e=0,t=n.length;e<t;e++)0==n[e]&&(n[e]=l);for(const l of t)isNaN(i[l]+s[l]+a[l]+n[l])||(e.translate(i[l],s[l]),e.rotate(a[l]),e.beginPath(),e.moveTo(0,0),e.lineTo(n[l],0),this.visuals.line.set_vectorize(e,l),e.stroke(),e.rotate(-a[l]),e.translate(-i[l],-s[l]))}}draw_legend_for_index(e,t,i){a.generic_line_legend(this.visuals,e,t,i)}}i.RayView=r,r.__name__=\"RayView\";class _ extends n.XYGlyph{constructor(e){super(e)}static init_Ray(){this.prototype.default_view=r,this.mixins([\"line\"]),this.define({length:[l.DistanceSpec],angle:[l.AngleSpec]})}}i.Ray=_,_.__name__=\"Ray\",_.init_Ray()},\n",
       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),h=t(213),a=t(90),r=i.__importStar(t(87)),n=i.__importStar(t(19)),_=t(12);class o extends h.CenterRotatableView{_set_data(){this.max_w2=0,\"data\"==this.model.properties.width.units&&(this.max_w2=this.max_width/2),this.max_h2=0,\"data\"==this.model.properties.height.units&&(this.max_h2=this.max_height/2)}_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=this._width;const t=this.sx.length;this.sx0=new Float64Array(t);for(let s=0;s<t;s++)this.sx0[s]=this.sx[s]-this.sw[s]/2}if(\"data\"==this.model.properties.height.units)[this.sh,this.sy1]=this._map_dist_corner_for_data_side_length(this._y,this._height,this.renderer.yscale);else{this.sh=this._height;const t=this.sy.length;this.sy1=new Float64Array(t);for(let s=0;s<t;s++)this.sy1[s]=this.sy[s]-this.sh[s]/2}const t=this.sw.length;this.ssemi_diag=new Float64Array(t);for(let s=0;s<t;s++)this.ssemi_diag[s]=Math.sqrt(this.sw[s]/2*this.sw[s]/2+this.sh[s]/2*this.sh[s]/2)}_render(t,s,{sx:e,sy:i,sx0:h,sy1:a,sw:r,sh:n,_angle:_}){if(this.visuals.fill.doit)for(const o of s)isNaN(e[o]+i[o]+h[o]+a[o]+r[o]+n[o]+_[o])||(this.visuals.fill.set_vectorize(t,o),_[o]?(t.translate(e[o],i[o]),t.rotate(_[o]),t.fillRect(-r[o]/2,-n[o]/2,r[o],n[o]),t.rotate(-_[o]),t.translate(-e[o],-i[o])):t.fillRect(h[o],a[o],r[o],n[o]));if(this.visuals.line.doit){t.beginPath();for(const o of s)isNaN(e[o]+i[o]+h[o]+a[o]+r[o]+n[o]+_[o])||0!=r[o]&&0!=n[o]&&(_[o]?(t.translate(e[o],i[o]),t.rotate(_[o]),t.rect(-r[o]/2,-n[o]/2,r[o],n[o]),t.rotate(-_[o]),t.translate(-e[o],-i[o])):t.rect(h[o],a[o],r[o],n[o]),this.visuals.line.set_vectorize(t,o),t.stroke(),t.beginPath());t.stroke()}}_hit_rect(t){return this._hit_rect_against_index(t)}_hit_point(t){let{sx:s,sy:e}=t;const i=this.renderer.xscale.invert(s),h=this.renderer.yscale.invert(e),a=[];for(let t=0,s=this.sx0.length;t<s;t++)a.push(this.sx0[t]+this.sw[t]/2);const n=[];for(let t=0,s=this.sy1.length;t<s;t++)n.push(this.sy1[t]+this.sh[t]/2);const o=_.max(this._ddist(0,a,this.ssemi_diag)),l=_.max(this._ddist(1,n,this.ssemi_diag)),d=i-o,c=i+o,x=h-l,y=h+l,m=[];for(const t of this.index.indices({x0:d,x1:c,y0:x,y1:y})){let i,h;if(this._angle[t]){const a=Math.sin(-this._angle[t]),r=Math.cos(-this._angle[t]),n=r*(s-this.sx[t])-a*(e-this.sy[t])+this.sx[t],_=a*(s-this.sx[t])+r*(e-this.sy[t])+this.sy[t];s=n,e=_,h=Math.abs(this.sx[t]-s)<=this.sw[t]/2,i=Math.abs(this.sy[t]-e)<=this.sh[t]/2}else h=s-this.sx0[t]<=this.sw[t]&&s-this.sx0[t]>=0,i=e-this.sy1[t]<=this.sh[t]&&e-this.sy1[t]>=0;i&&h&&m.push(t)}const f=r.create_empty_hit_test_result();return f.indices=m,f}_map_dist_corner_for_data_side_length(t,s,e){const i=t.length,h=new Float64Array(i),a=new Float64Array(i);for(let e=0;e<i;e++)h[e]=Number(t[e])-s[e]/2,a[e]=Number(t[e])+s[e]/2;const r=e.v_compute(h),n=e.v_compute(a),_=this.sdist(e,h,s,\"edge\",this.model.dilate);let o=r;for(let t=0,s=r.length;t<s;t++)if(r[t]!=n[t]){o=r[t]<n[t]?r:n;break}return[_,o]}_ddist(t,s,e){const i=0==t?this.renderer.xscale:this.renderer.yscale,h=s,a=h.length,r=new Float64Array(a);for(let t=0;t<a;t++)r[t]=h[t]+e[t];const n=i.v_invert(h),_=i.v_invert(r),o=n.length,l=new Float64Array(o);for(let t=0;t<o;t++)l[t]=Math.abs(_[t]-n[t]);return l}draw_legend_for_index(t,s,e){a.generic_area_legend(this.visuals,t,s,e)}_bounds({x0:t,x1:s,y0:e,y1:i}){return{x0:t-this.max_w2,x1:s+this.max_w2,y0:e-this.max_h2,y1:i+this.max_h2}}}e.RectView=o,o.__name__=\"RectView\";class l extends h.CenterRotatable{constructor(t){super(t)}static init_Rect(){this.prototype.default_view=o,this.define({dilate:[n.Boolean,!1]})}}e.Rect=l,l.__name__=\"Rect\",l.init_Rect()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1).__importStar(e(87)),n=e(82),r=e(86),h=e(90);class _ extends r.GlyphView{_index_data(){const e=[];for(let t=0,s=this._x0.length;t<s;t++){const s=this._x0[t],i=this._x1[t],n=this._y0[t],r=this._y1[t];isNaN(s+i+n+r)||e.push({x0:Math.min(s,i),y0:Math.min(n,r),x1:Math.max(s,i),y1:Math.max(n,r),i:t})}return new n.SpatialIndex(e)}_render(e,t,{sx0:s,sy0:i,sx1:n,sy1:r}){if(this.visuals.line.doit)for(const h of t)isNaN(s[h]+i[h]+n[h]+r[h])||(e.beginPath(),e.moveTo(s[h],i[h]),e.lineTo(n[h],r[h]),this.visuals.line.set_vectorize(e,h),e.stroke())}_hit_point(e){const{sx:t,sy:s}=e,n={x:t,y:s},r=[],[h,_]=this.renderer.xscale.r_invert(t-2,t+2),[a,c]=this.renderer.yscale.r_invert(s-2,s+2),o=this.index.indices({x0:h,y0:a,x1:_,y1:c});for(const e of o){const t=Math.pow(Math.max(2,this.visuals.line.cache_select(\"line_width\",e)/2),2),s={x:this.sx0[e],y:this.sy0[e]},h={x:this.sx1[e],y:this.sy1[e]};i.dist_to_segment_squared(n,s,h)<t&&r.push(e)}const x=i.create_empty_hit_test_result();return x.indices=r,x}_hit_span(e){const[t,s]=this.renderer.plot_view.frame.bbox.ranges,{sx:n,sy:r}=e;let h,_,a;\"v\"==e.direction?(a=this.renderer.yscale.invert(r),[h,_]=[this._y0,this._y1]):(a=this.renderer.xscale.invert(n),[h,_]=[this._x0,this._x1]);const c=[],[o,x]=this.renderer.xscale.r_invert(t.start,t.end),[l,d]=this.renderer.yscale.r_invert(s.start,s.end),y=this.index.indices({x0:o,y0:l,x1:x,y1:d});for(const t of y){(h[t]<=a&&a<=_[t]||_[t]<=a&&a<=h[t])&&c.push(t);const s=1.5+this.visuals.line.cache_select(\"line_width\",t)/2;h[t]==_[t]&&(\"h\"==e.direction?Math.abs(this.sx0[t]-n)<=s&&c.push(t):Math.abs(this.sy0[t]-r)<=s&&c.push(t))}const u=i.create_empty_hit_test_result();return u.indices=c,u}scenterx(e){return(this.sx0[e]+this.sx1[e])/2}scentery(e){return(this.sy0[e]+this.sy1[e])/2}draw_legend_for_index(e,t,s){h.generic_line_legend(this.visuals,e,t,s)}}s.SegmentView=_,_.__name__=\"SegmentView\";class a extends r.Glyph{constructor(e){super(e)}static init_Segment(){this.prototype.default_view=_,this.coords([[\"x0\",\"y0\"],[\"x1\",\"y1\"]]),this.mixins([\"line\"])}}s.Segment=a,a.__name__=\"Segment\",a.init_Segment()},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(81),o=e(90),r=n.__importStar(e(19));class l extends s.XYGlyphView{_render(e,t,{sx:i,sy:n}){let s=!1,o=null;this.visuals.line.set_value(e);const r=t.length;if(!(r<2)){e.beginPath(),e.moveTo(i[0],n[0]);for(const r of t){let t,l,a,_;switch(this.model.mode){case\"before\":[t,a]=[i[r-1],n[r]],[l,_]=[i[r],n[r]];break;case\"after\":[t,a]=[i[r],n[r-1]],[l,_]=[i[r],n[r]];break;case\"center\":{const e=(i[r-1]+i[r])/2;[t,a]=[e,n[r-1]],[l,_]=[e,n[r]];break}default:throw new Error(\"unexpected\")}if(s){if(!isFinite(i[r]+n[r])){e.stroke(),e.beginPath(),s=!1,o=r;continue}null!=o&&r-o>1&&(e.stroke(),s=!1)}s?(e.lineTo(t,a),e.lineTo(l,_)):(e.beginPath(),e.moveTo(i[r],n[r]),s=!0),o=r}e.lineTo(i[r-1],n[r-1]),e.stroke()}}draw_legend_for_index(e,t,i){o.generic_line_legend(this.visuals,e,t,i)}}i.StepView=l,l.__name__=\"StepView\";class a extends s.XYGlyph{constructor(e){super(e)}static init_Step(){this.prototype.default_view=l,this.mixins([\"line\"]),this.define({mode:[r.StepMode,\"before\"]})}}i.Step=a,a.__name__=\"Step\",a.init_Step()},\n",
       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),_=t(81),n=i.__importStar(t(87)),o=i.__importStar(t(19)),h=t(131);class r extends _.XYGlyphView{_rotate_point(t,s,e,i,_){return[(t-e)*Math.cos(_)-(s-i)*Math.sin(_)+e,(t-e)*Math.sin(_)+(s-i)*Math.cos(_)+i]}_text_bounds(t,s,e,i){return[[t,t+e,t+e,t,t],[s,s,s-i,s-i,s]]}_render(t,s,{sx:e,sy:i,_x_offset:_,_y_offset:n,_angle:o,_text:r}){this._sys=[],this._sxs=[];for(const l of s)if(!isNaN(e[l]+i[l]+_[l]+n[l]+o[l])&&null!=r[l]&&(this._sxs[l]=[],this._sys[l]=[],this.visuals.text.doit)){const s=`${r[l]}`;t.save(),t.translate(e[l]+_[l],i[l]+n[l]),t.rotate(o[l]),this.visuals.text.set_vectorize(t,l);const a=this.visuals.text.cache_select(\"font\",l),{height:x}=h.measure_font(a),c=this.visuals.text.text_line_height.value()*x;if(-1==s.indexOf(\"\\n\")){t.fillText(s,0,0);const o=e[l]+_[l],h=i[l]+n[l],r=t.measureText(s).width,[a,x]=this._text_bounds(o,h,r,c);this._sxs[l].push(a),this._sys[l].push(x)}else{const o=s.split(\"\\n\"),h=c*o.length,r=this.visuals.text.cache_select(\"text_baseline\",l);let a;switch(r){case\"top\":a=0;break;case\"middle\":a=-h/2+c/2;break;case\"bottom\":a=-h+c;break;default:a=0,console.warn(`'${r}' baseline not supported with multi line text`)}for(const s of o){t.fillText(s,0,a);const o=e[l]+_[l],h=a+i[l]+n[l],r=t.measureText(s).width,[x,u]=this._text_bounds(o,h,r,c);this._sxs[l].push(x),this._sys[l].push(u),a+=c}}t.restore()}}_hit_point(t){const{sx:s,sy:e}=t,i=[];for(let t=0;t<this._sxs.length;t++){const _=this._sxs[t],o=this._sys[t],h=_.length;for(let r=0,l=h;r<l;r++){const[l,a]=this._rotate_point(s,e,_[h-1][0],o[h-1][0],-this._angle[t]);n.point_in_poly(l,a,_[r],o[r])&&i.push(t)}}const _=n.create_empty_hit_test_result();return _.indices=i,_}_scenterxy(t){const s=this._sxs[t][0][0],e=this._sys[t][0][0],i=(this._sxs[t][0][2]+s)/2,_=(this._sys[t][0][2]+e)/2,[n,o]=this._rotate_point(i,_,s,e,this._angle[t]);return{x:n,y:o}}scenterx(t){return this._scenterxy(t).x}scentery(t){return this._scenterxy(t).y}}e.TextView=r,r.__name__=\"TextView\";class l extends _.XYGlyph{constructor(t){super(t)}static init_Text(){this.prototype.default_view=r,this.mixins([\"text\"]),this.define({text:[o.NullStringSpec,{field:\"text\"}],angle:[o.AngleSpec,0],x_offset:[o.NumberSpec,0],y_offset:[o.NumberSpec,0]})}}e.Text=l,l.__name__=\"Text\",l.init_Text()},\n",
       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),h=t(217),r=i.__importStar(t(19));class o extends h.BoxView{scenterx(t){return this.sx[t]}scentery(t){return(this.stop[t]+this.sbottom[t])/2}_index_data(){return this._index_box(this._x.length)}_lrtb(t){return[this._x[t]-this._width[t]/2,this._x[t]+this._width[t]/2,Math.max(this._top[t],this._bottom[t]),Math.min(this._top[t],this._bottom[t])]}_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 Float64Array(t),this.sright=new Float64Array(t);for(let s=0;s<t;s++)this.sleft[s]=this.sx[s]-this.sw[s]/2,this.sright[s]=this.sx[s]+this.sw[s]/2;this._clamp_viewport()}}e.VBarView=o,o.__name__=\"VBarView\";class _ extends h.Box{constructor(t){super(t)}static init_VBar(){this.prototype.default_view=o,this.coords([[\"x\",\"bottom\"]]),this.define({width:[r.NumberSpec],top:[r.CoordinateSpec]}),this.override({bottom:0})}}e.VBar=_,_.__name__=\"VBar\",_.init_VBar()},\n",
       "      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(1),r=e(81),n=e(90),a=i.__importStar(e(87)),_=i.__importStar(e(19)),h=e(10);class o extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius):this.sradius=this._radius}_render(e,s,{sx:t,sy:i,sradius:r,_start_angle:n,_end_angle:a}){const _=this.model.properties.direction.value();for(const h of s)isNaN(t[h]+i[h]+r[h]+n[h]+a[h])||(e.beginPath(),e.arc(t[h],i[h],r[h],n[h],a[h],_),e.lineTo(t[h],i[h]),e.closePath(),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,h),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,h),e.stroke()))}_hit_point(e){let s,t,i,r,n,_,o,d,l;const{sx:c,sy:u}=e,p=this.renderer.xscale.invert(c),x=this.renderer.yscale.invert(u),g=2*this.max_radius;\"data\"===this.model.properties.radius.units?(_=p-g,o=p+g,d=x-g,l=x+g):(t=c-g,i=c+g,[_,o]=this.renderer.xscale.r_invert(t,i),r=u-g,n=u+g,[d,l]=this.renderer.yscale.r_invert(r,n));const y=[];for(const e of this.index.indices({x0:_,x1:o,y0:d,y1:l})){const a=Math.pow(this.sradius[e],2);[t,i]=this.renderer.xscale.r_compute(p,this._x[e]),[r,n]=this.renderer.yscale.r_compute(x,this._y[e]),s=Math.pow(t-i,2)+Math.pow(r-n,2),s<=a&&y.push([e,s])}const f=this.model.properties.direction.value(),v=[];for(const[e,s]of y){const t=Math.atan2(u-this.sy[e],c-this.sx[e]);h.angle_between(-t,-this._start_angle[e],-this._end_angle[e],f)&&v.push([e,s])}return a.create_hit_test_result_from_hits(v)}draw_legend_for_index(e,s,t){n.generic_area_legend(this.visuals,e,s,t)}_scenterxy(e){const s=this.sradius[e]/2,t=(this._start_angle[e]+this._end_angle[e])/2;return{x:this.sx[e]+s*Math.cos(t),y:this.sy[e]+s*Math.sin(t)}}scenterx(e){return this._scenterxy(e).x}scentery(e){return this._scenterxy(e).y}}t.WedgeView=o,o.__name__=\"WedgeView\";class d extends r.XYGlyph{constructor(e){super(e)}static init_Wedge(){this.prototype.default_view=o,this.mixins([\"line\",\"fill\"]),this.define({direction:[_.Direction,\"anticlock\"],radius:[_.DistanceSpec],start_angle:[_.AngleSpec],end_angle:[_.AngleSpec]})}}t.Wedge=d,d.__name__=\"Wedge\",d.init_Wedge()},\n",
       "      function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0});const r=e(1);r.__exportStar(e(98),_),r.__exportStar(e(238),_),r.__exportStar(e(239),_)},\n",
       "      function _(e,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});const t=e(69);class n extends t.Model{constructor(e){super(e)}}r.LayoutProvider=n,n.__name__=\"LayoutProvider\"},\n",
       "      function _(t,a,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=t(1),r=t(238),s=o.__importStar(t(19));class n extends r.LayoutProvider{constructor(t){super(t)}static init_StaticLayoutProvider(){this.define({graph_layout:[s.Any,{}]})}get_node_coordinates(t){const a=[],e=[],o=t.data.index;for(let t=0,r=o.length;t<r;t++){const r=this.graph_layout[o[t]],[s,n]=null!=r?r:[NaN,NaN];a.push(s),e.push(n)}return[a,e]}get_edge_coordinates(t){const a=[],e=[],o=t.data.start,r=t.data.end,s=null!=t.data.xs&&null!=t.data.ys;for(let n=0,u=o.length;n<u;n++){const u=null!=this.graph_layout[o[n]]&&null!=this.graph_layout[r[n]];if(s&&u)a.push(t.data.xs[n]),e.push(t.data.ys[n]);else{let t,s;[s,t]=u?[this.graph_layout[o[n]],this.graph_layout[r[n]]]:[[NaN,NaN],[NaN,NaN]],a.push([s[0],t[0]]),e.push([s[1],t[1]])}}return[a,e]}}e.StaticLayoutProvider=n,n.__name__=\"StaticLayoutProvider\",n.init_StaticLayoutProvider()},\n",
       "      function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});var i=e(241);d.Grid=i.Grid},\n",
       "      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),s=e(149),r=n.__importStar(e(19)),_=e(8);class o extends s.GuideRendererView{render(){if(!this.model.visible)return;const e=this.plot_view.canvas_view.ctx;e.save(),this._draw_regions(e),this._draw_minor_grids(e),this._draw_grids(e),e.restore()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render())}_draw_regions(e){if(!this.visuals.band_fill.doit&&!this.visuals.band_hatch.doit)return;this.visuals.band_fill.set_value(e);const[i,t]=this.grid_coords(\"major\",!1);for(let n=0;n<i.length-1;n++){if(n%2!=1)continue;const[s,r]=this.plot_view.map_to_screen(i[n],t[n],this.model.x_range_name,this.model.y_range_name),[_,o]=this.plot_view.map_to_screen(i[n+1],t[n+1],this.model.x_range_name,this.model.y_range_name);this.visuals.band_fill.doit&&e.fillRect(s[0],r[0],_[1]-s[0],o[1]-r[0]),this.visuals.band_hatch.doit2(e,n,()=>{e.fillRect(s[0],r[0],_[1]-s[0],o[1]-r[0])},()=>this.request_render())}}_draw_grids(e){if(!this.visuals.grid_line.doit)return;const[i,t]=this.grid_coords(\"major\");this._draw_grid_helper(e,this.visuals.grid_line,i,t)}_draw_minor_grids(e){if(!this.visuals.minor_grid_line.doit)return;const[i,t]=this.grid_coords(\"minor\");this._draw_grid_helper(e,this.visuals.minor_grid_line,i,t)}_draw_grid_helper(e,i,t,n){i.set_value(e);for(let i=0;i<t.length;i++){const[s,r]=this.plot_view.map_to_screen(t[i],n[i],this.model.x_range_name,this.model.y_range_name);e.beginPath(),e.moveTo(Math.round(s[0]),Math.round(r[0]));for(let i=1;i<s.length;i++)e.lineTo(Math.round(s[i]),Math.round(r[i]));e.stroke()}}ranges(){const e=this.model.dimension,i=(e+1)%2,t=this.plot_view.frame,n=[t.x_ranges[this.model.x_range_name],t.y_ranges[this.model.y_range_name]];return[n[e],n[i]]}computed_bounds(){const[e]=this.ranges(),i=this.model.bounds,t=[e.min,e.max];let n,s;if(_.isArray(i))n=Math.min(i[0],i[1]),s=Math.max(i[0],i[1]),n<t[0]&&(n=t[0]),s>t[1]&&(s=t[1]);else{[n,s]=t;for(const e of this.plot_view.axis_views)e.dimension==this.model.dimension&&e.model.x_range_name==this.model.x_range_name&&e.model.y_range_name==this.model.y_range_name&&([n,s]=e.computed_bounds)}return[n,s]}grid_coords(e,i=!0){const t=this.model.dimension,n=(t+1)%2,[s,r]=this.ranges();let[_,o]=this.computed_bounds();[_,o]=[Math.min(_,o),Math.max(_,o)];const a=[[],[]],l=this.model.get_ticker();if(null==l)return a;const d=l.get_ticks(_,o,s,r.min,{})[e],h=s.min,m=s.max,c=r.min,u=r.max;i||(d[0]!=h&&d.splice(0,0,h),d[d.length-1]!=m&&d.push(m));for(let e=0;e<d.length;e++){if((d[e]==h||d[e]==m)&&i)continue;const s=[],r=[],_=2;for(let i=0;i<_;i++){const t=c+(u-c)/(_-1)*i;s.push(d[e]),r.push(t)}a[t].push(s),a[n].push(r)}return a}}t.GridView=o,o.__name__=\"GridView\";class a extends s.GuideRenderer{constructor(e){super(e)}static init_Grid(){this.prototype.default_view=o,this.mixins([\"line:grid_\",\"line:minor_grid_\",\"fill:band_\",\"hatch:band_\"]),this.define({bounds:[r.Any,\"auto\"],dimension:[r.Any,0],axis:[r.Instance],ticker:[r.Instance],x_range_name:[r.String,\"default\"],y_range_name:[r.String,\"default\"]}),this.override({level:\"underlay\",band_fill_color:null,band_fill_alpha:0,grid_line_color:\"#e5e5e5\",minor_grid_line_color:null})}get_ticker(){return null!=this.ticker?this.ticker:null!=this.axis?this.axis.ticker:null}}t.Grid=a,a.__name__=\"Grid\",a.init_Grid()},\n",
       "      function _(a,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});var e=a(243);r.Box=e.Box;var v=a(245);r.Column=v.Column;var x=a(246);r.GridBox=x.GridBox;var B=a(247);r.HTMLBox=B.HTMLBox;var n=a(244);r.LayoutDOM=n.LayoutDOM;var t=a(248);r.Row=t.Row;var u=a(249);r.Spacer=u.Spacer;var d=a(250);r.Panel=d.Panel,r.Tabs=d.Tabs;var i=a(254);r.WidgetBox=i.WidgetBox},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(244),o=n.__importStar(e(19));class c extends s.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,()=>this.rebuild())}get child_models(){return this.model.children}}i.BoxView=c,c.__name__=\"BoxView\";class r extends s.LayoutDOM{constructor(e){super(e)}static init_Box(){this.define({children:[o.Array,[]],spacing:[o.Number,0]})}}i.Box=r,r.__name__=\"Box\",r.init_Box()},\n",
       "      function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=i(1),o=i(69),l=i(66),n=i(70),h=i(8),a=s.__importStar(i(19)),_=i(96),r=i(64),d=i(67);class u extends r.DOMView{constructor(){super(...arguments),this._idle_notified=!1,this._offset_parent=null,this._viewport={}}initialize(){super.initialize(),this.el.style.position=this.is_root?\"relative\":\"absolute\",this._child_views={}}async lazy_initialize(){await this.build_child_views()}remove(){for(const i of this.child_views)i.remove();this._child_views={},super.remove()}connect_signals(){super.connect_signals(),this.is_root&&(this._on_resize=()=>this.resize_layout(),window.addEventListener(\"resize\",this._on_resize),this._parent_observer=setInterval(()=>{const i=this.el.offsetParent;this._offset_parent!=i&&(this._offset_parent=i,null!=i&&(this.compute_viewport(),this.invalidate_layout()))},250));const i=this.model.properties;this.on_change([i.width,i.height,i.min_width,i.min_height,i.max_width,i.max_height,i.margin,i.width_policy,i.height_policy,i.sizing_mode,i.aspect_ratio,i.visible],()=>this.invalidate_layout()),this.on_change([i.background,i.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(i=>this._child_views[i.id])}async build_child_views(){await _.build_views(this._child_views,this.child_models,{parent:this})}render(){super.render(),l.empty(this.el);const{background:i}=this.model;this.el.style.backgroundColor=null!=i?i:\"\",l.classes(this.el).clear().add(...this.css_classes());for(const i of this.child_views)this.el.appendChild(i.el),i.render()}update_layout(){for(const i of this.child_views)i.update_layout();this._update_layout()}update_position(){this.el.style.display=this.model.visible?\"block\":\"none\";const i=this.is_root?this.layout.sizing.margin:void 0;l.position(this.el,this.layout.bbox,i);for(const i of this.child_views)i.update_position()}after_layout(){for(const i of this.child_views)i.after_layout();this._has_finished=!0}compute_viewport(){this._viewport=this._viewport_size()}renderTo(i){i.appendChild(this.el),this._offset_parent=this.el.offsetParent,this.compute_viewport(),this.build()}build(){return this.assert_root(),this.render(),this.update_layout(),this.compute_layout(),this}async rebuild(){await this.build_child_views(),this.invalidate_render()}compute_layout(){const i=Date.now();this.layout.compute(this._viewport),this.update_position(),this.after_layout(),n.logger.debug(`layout computed in ${Date.now()-i} ms`),this.notify_finished()}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 i of this.child_views)if(!i.has_finished())return!1;return!0}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()}_width_policy(){return null!=this.model.width?\"fixed\":\"fit\"}_height_policy(){return null!=this.model.height?\"fixed\":\"fit\"}box_sizing(){let{width_policy:i,height_policy:t,aspect_ratio:e}=this.model;\"auto\"==i&&(i=this._width_policy()),\"auto\"==t&&(t=this._height_policy());const{sizing_mode:s}=this.model;if(null!=s)if(\"fixed\"==s)i=t=\"fixed\";else if(\"stretch_both\"==s)i=t=\"max\";else if(\"stretch_width\"==s)i=\"max\";else if(\"stretch_height\"==s)t=\"max\";else switch(null==e&&(e=\"auto\"),s){case\"scale_width\":i=\"max\",t=\"min\";break;case\"scale_height\":i=\"min\",t=\"max\";break;case\"scale_both\":i=\"max\",t=\"max\"}const o={width_policy:i,height_policy:t},{min_width:l,min_height:n}=this.model;null!=l&&(o.min_width=l),null!=n&&(o.min_height=n);const{width:a,height:_}=this.model;null!=a&&(o.width=a),null!=_&&(o.height=_);const{max_width:r,max_height:d}=this.model;null!=r&&(o.max_width=r),null!=d&&(o.max_height=d),\"auto\"==e&&null!=a&&null!=_?o.aspect=a/_:h.isNumber(e)&&(o.aspect=e);const{margin:u}=this.model;if(null!=u)if(h.isNumber(u))o.margin={top:u,right:u,bottom:u,left:u};else if(2==u.length){const[i,t]=u;o.margin={top:i,right:t,bottom:i,left:t}}else{const[i,t,e,s]=u;o.margin={top:i,right:t,bottom:e,left:s}}o.visible=this.model.visible;const{align:c}=this.model;return h.isArray(c)?[o.halign,o.valign]=c:o.halign=o.valign=c,o}_viewport_size(){return l.undisplayed(this.el,()=>{let i=this.el;for(;i=i.parentElement;){if(i.classList.contains(d.bk_root))continue;if(i==document.body){const{margin:{left:i,right:t,top:e,bottom:s}}=l.extents(document.body);return{width:Math.ceil(document.documentElement.clientWidth-i-t),height:Math.ceil(document.documentElement.clientHeight-e-s)}}const{padding:{left:t,right:e,top:s,bottom:o}}=l.extents(i),{width:n,height:h}=i.getBoundingClientRect(),a=Math.ceil(n-t-e),_=Math.ceil(h-s-o);if(a>0||_>0)return{width:a>0?a:void 0,height:_>0?_:void 0}}return{}})}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box,children:this.child_views.map(i=>i.serializable_state())})}}e.LayoutDOMView=u,u.__name__=\"LayoutDOMView\";class c extends o.Model{constructor(i){super(i)}static init_LayoutDOM(){this.define({width:[a.Number,null],height:[a.Number,null],min_width:[a.Number,null],min_height:[a.Number,null],max_width:[a.Number,null],max_height:[a.Number,null],margin:[a.Any,[0,0,0,0]],width_policy:[a.Any,\"auto\"],height_policy:[a.Any,\"auto\"],aspect_ratio:[a.Any,null],sizing_mode:[a.SizingMode,null],visible:[a.Boolean,!0],disabled:[a.Boolean,!1],align:[a.Any,\"start\"],background:[a.Color,null],css_classes:[a.Array,[]]})}}e.LayoutDOM=c,c.__name__=\"LayoutDOM\",c.init_LayoutDOM()},\n",
       "      function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),e=t(243),n=t(191),l=s.__importStar(t(19));class u extends e.BoxView{_update_layout(){const t=this.child_views.map(t=>t.layout);this.layout=new n.Column(t),this.layout.rows=this.model.rows,this.layout.spacing=[this.model.spacing,0],this.layout.set_sizing(this.box_sizing())}}i.ColumnView=u,u.__name__=\"ColumnView\";class _ extends e.Box{constructor(t){super(t)}static init_Column(){this.prototype.default_view=u,this.define({rows:[l.Any,\"auto\"]})}}i.Column=_,_.__name__=\"Column\",_.init_Column()},\n",
       "      function _(t,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=t(1),e=t(244),n=t(191),l=o.__importStar(t(19));class r extends e.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,()=>this.rebuild())}get child_models(){return this.model.children.map(([t])=>t)}_update_layout(){this.layout=new n.Grid,this.layout.rows=this.model.rows,this.layout.cols=this.model.cols,this.layout.spacing=this.model.spacing;for(const[t,i,s,o,e]of this.model.children){const n=this._child_views[t.id];this.layout.items.push({layout:n.layout,row:i,col:s,row_span:o,col_span:e})}this.layout.set_sizing(this.box_sizing())}}s.GridBoxView=r,r.__name__=\"GridBoxView\";class a extends e.LayoutDOM{constructor(t){super(t)}static init_GridBox(){this.prototype.default_view=r,this.define({children:[l.Array,[]],rows:[l.Any,\"auto\"],cols:[l.Any,\"auto\"],spacing:[l.Any,0]})}}s.GridBox=a,a.__name__=\"GridBox\",a.init_GridBox()},\n",
       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(244),_=e(187);class n extends s.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new _.ContentBox(this.el),this.layout.set_sizing(this.box_sizing())}}o.HTMLBoxView=n,n.__name__=\"HTMLBoxView\";class i extends s.LayoutDOM{constructor(e){super(e)}}o.HTMLBox=i,i.__name__=\"HTMLBox\"},\n",
       "      function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),e=t(243),_=t(191),a=s.__importStar(t(19));class n extends e.BoxView{_update_layout(){const t=this.child_views.map(t=>t.layout);this.layout=new _.Row(t),this.layout.cols=this.model.cols,this.layout.spacing=[0,this.model.spacing],this.layout.set_sizing(this.box_sizing())}}i.RowView=n,n.__name__=\"RowView\";class l extends e.Box{constructor(t){super(t)}static init_Row(){this.prototype.default_view=n,this.define({cols:[a.Any,\"auto\"]})}}i.Row=l,l.__name__=\"Row\",l.init_Row()},\n",
       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(244),s=e(187);class _ extends i.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new s.LayoutItem,this.layout.set_sizing(this.box_sizing())}}a.SpacerView=_,_.__name__=\"SpacerView\";class o extends i.LayoutDOM{constructor(e){super(e)}static init_Spacer(){this.prototype.default_view=_}}a.Spacer=o,o.__name__=\"Spacer\",o.init_Spacer()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),a=e(187),l=e(66),h=e(9),o=i.__importStar(e(19)),c=e(244),d=e(69),n=e(145),r=e(251),_=e(252),b=e(253);class p extends c.LayoutDOMView{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())}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 a.ContentBox{_measure(e){const a=l.size(s),o=l.children(i).slice(0,3).map(e=>l.size(e)),{width:c,height:d}=super._measure(e);if(t){const t=a.width+h.sum(o.map(e=>e.width));return{width:e.width!=1/0?e.width:t,height:d}}{const t=a.height+h.sum(o.map(e=>e.height));return{width:c,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 o=1,c=1;switch(e){case\"above\":o-=1;break;case\"below\":o+=1;break;case\"left\":c-=1;break;case\"right\":c+=1}const d={layout:this.header,row:o,col:c},n=this.child_views.map(e=>({layout:e.layout,row:1,col:1}));this.layout=new a.Grid([d,...n]),this.layout.set_sizing(this.box_sizing())}update_position(){super.update_position(),this.header_el.style.position=\"absolute\",l.position(this.header_el,this.header.bbox);const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,s=l.size(this.scroll_el),i=l.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`,l.display(this.scroll_el)):(this.wrapper_el.style.maxWidth=\"\",l.undisplay(this.scroll_el))}else{const{height:e}=this.header.bbox;i.height>e?(this.wrapper_el.style.maxHeight=`${e-s.height}px`,l.display(this.scroll_el)):(this.wrapper_el.style.maxHeight=\"\",l.undisplay(this.scroll_el))}const{child_views:a}=this;for(const e of a)l.hide(e.el);const h=a[this.model.active];null!=h&&l.show(h.el)}render(){super.render();const{active:e}=this.model,t=this.model.tabs_location,s=\"above\"==t||\"below\"==t,i=this.model.tabs.map((t,s)=>{const i=l.div({class:[r.bk_tab,s==e?n.bk_active:null]},t.title);if(i.addEventListener(\"click\",e=>{e.target==e.currentTarget&&this.change_active(s)}),t.closable){const e=l.div({class:r.bk_close});e.addEventListener(\"click\",e=>{if(e.target==e.currentTarget){this.model.tabs=h.remove_at(this.model.tabs,s);const e=this.model.tabs.length;this.model.active>e-1&&(this.model.active=e-1)}}),i.appendChild(e)}return i});this.headers_el=l.div({class:[r.bk_headers]},i),this.wrapper_el=l.div({class:r.bk_headers_wrapper},this.headers_el);const a=l.div({class:[_.bk_btn,_.bk_btn_default],disabled:\"\"},l.div({class:[b.bk_caret,n.bk_left]})),o=l.div({class:[_.bk_btn,_.bk_btn_default]},l.div({class:[b.bk_caret,n.bk_right]}));let c=0;const d=e=>()=>{const t=this.model.tabs.length;c=\"left\"==e?Math.max(c-1,0):Math.min(c+1,t-1),0==c?a.setAttribute(\"disabled\",\"\"):a.removeAttribute(\"disabled\"),c==t-1?o.setAttribute(\"disabled\",\"\"):o.removeAttribute(\"disabled\");const i=l.children(this.headers_el).slice(0,c).map(e=>e.getBoundingClientRect());if(s){const e=-h.sum(i.map(e=>e.width));this.headers_el.style.left=`${e}px`}else{const e=-h.sum(i.map(e=>e.height));this.headers_el.style.top=`${e}px`}};a.addEventListener(\"click\",d(\"left\")),o.addEventListener(\"click\",d(\"right\")),this.scroll_el=l.div({class:_.bk_btn_group},a,o),this.header_el=l.div({class:[r.bk_tabs_header,n.bk_side(t)]},this.scroll_el,this.wrapper_el),this.el.appendChild(this.header_el)}change_active(e){e!=this.model.active&&(this.model.active=e)}on_active_change(){const e=this.model.active,t=l.children(this.headers_el);for(const e of t)e.classList.remove(n.bk_active);t[e].classList.add(n.bk_active);const{child_views:s}=this;for(const e of s)l.hide(e.el);l.show(s[e].el)}}s.TabsView=p,p.__name__=\"TabsView\";class u extends c.LayoutDOM{constructor(e){super(e)}static init_Tabs(){this.prototype.default_view=p,this.define({tabs:[o.Array,[]],tabs_location:[o.Location,\"above\"],active:[o.Number,0]})}}s.Tabs=u,u.__name__=\"Tabs\",u.init_Tabs();class m extends d.Model{constructor(e){super(e)}static init_Panel(){this.define({title:[o.String,\"\"],child:[o.Instance],closable:[o.Boolean,!1]})}}s.Panel=m,m.__name__=\"Panel\",m.init_Panel()},\n",
       "      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const b=e(1);e(67),b.__importStar(e(66)).styles.append('.bk-root .bk-tabs-header {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n  overflow: hidden;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n}\\n.bk-root .bk-tabs-header .bk-btn-group {\\n  height: auto;\\n  margin-right: 5px;\\n}\\n.bk-root .bk-tabs-header .bk-btn-group > .bk-btn {\\n  flex-grow: 0;\\n  -webkit-flex-grow: 0;\\n  height: auto;\\n  padding: 4px 4px;\\n}\\n.bk-root .bk-tabs-header .bk-headers-wrapper {\\n  flex-grow: 1;\\n  -webkit-flex-grow: 1;\\n  overflow: hidden;\\n  color: #666666;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-headers-wrapper {\\n  border-bottom: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-right .bk-headers-wrapper {\\n  border-left: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-below .bk-headers-wrapper {\\n  border-top: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-headers-wrapper {\\n  border-right: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-above,\\n.bk-root .bk-tabs-header.bk-below {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-headers,\\n.bk-root .bk-tabs-header.bk-below .bk-headers {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-tabs-header.bk-left,\\n.bk-root .bk-tabs-header.bk-right {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-headers,\\n.bk-root .bk-tabs-header.bk-right .bk-headers {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-tabs-header .bk-headers {\\n  position: relative;\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n}\\n.bk-root .bk-tabs-header .bk-tab {\\n  padding: 4px 8px;\\n  border: solid transparent;\\n  white-space: nowrap;\\n  cursor: pointer;\\n}\\n.bk-root .bk-tabs-header .bk-tab:hover {\\n  background-color: #f2f2f2;\\n}\\n.bk-root .bk-tabs-header .bk-tab.bk-active {\\n  color: #4d4d4d;\\n  background-color: white;\\n  border-color: #e6e6e6;\\n}\\n.bk-root .bk-tabs-header .bk-tab .bk-close {\\n  margin-left: 10px;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-tab {\\n  border-width: 3px 1px 0px 1px;\\n  border-radius: 4px 4px 0 0;\\n}\\n.bk-root .bk-tabs-header.bk-right .bk-tab {\\n  border-width: 1px 3px 1px 0px;\\n  border-radius: 0 4px 4px 0;\\n}\\n.bk-root .bk-tabs-header.bk-below .bk-tab {\\n  border-width: 0px 1px 3px 1px;\\n  border-radius: 0 0 4px 4px;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-tab {\\n  border-width: 1px 0px 1px 3px;\\n  border-radius: 4px 0 0 4px;\\n}\\n.bk-root .bk-close {\\n  display: inline-block;\\n  width: 10px;\\n  height: 10px;\\n  vertical-align: middle;\\n  background-image: url(\\'data:image/svg+xml;utf8,\\\\\\n      <svg viewPort=\"0 0 10 10\" version=\"1.1\" xmlns=\"http://www.w3.org/2000/svg\">\\\\\\n        <line x1=\"1\" y1=\"9\" x2=\"9\" y2=\"1\" stroke=\"gray\" stroke-width=\"2\"/>\\\\\\n        <line x1=\"1\" y1=\"1\" x2=\"9\" y2=\"9\" stroke=\"gray\" stroke-width=\"2\"/>\\\\\\n      </svg>\\');\\n}\\n.bk-root .bk-close:hover {\\n  background-image: url(\\'data:image/svg+xml;utf8,\\\\\\n      <svg viewPort=\"0 0 10 10\" version=\"1.1\" xmlns=\"http://www.w3.org/2000/svg\">\\\\\\n        <line x1=\"1\" y1=\"9\" x2=\"9\" y2=\"1\" stroke=\"red\" stroke-width=\"2\"/>\\\\\\n        <line x1=\"1\" y1=\"1\" x2=\"9\" y2=\"9\" stroke=\"red\" stroke-width=\"2\"/>\\\\\\n      </svg>\\');\\n}\\n'),n.bk_tabs_header=\"bk-tabs-header\",n.bk_headers_wrapper=\"bk-headers-wrapper\",n.bk_headers=\"bk-headers\",n.bk_tab=\"bk-tab\",n.bk_close=\"bk-close\"},\n",
       "      function _(n,o,b){Object.defineProperty(b,\"__esModule\",{value:!0});const r=n(1);n(67),r.__importStar(n(66)).styles.append(\".bk-root .bk-btn {\\n  height: 100%;\\n  display: inline-block;\\n  text-align: center;\\n  vertical-align: middle;\\n  white-space: nowrap;\\n  cursor: pointer;\\n  padding: 6px 12px;\\n  font-size: 12px;\\n  border: 1px solid transparent;\\n  border-radius: 4px;\\n  outline: 0;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n}\\n.bk-root .bk-btn:hover,\\n.bk-root .bk-btn:focus {\\n  text-decoration: none;\\n}\\n.bk-root .bk-btn:active,\\n.bk-root .bk-btn.bk-active {\\n  background-image: none;\\n  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\\n}\\n.bk-root .bk-btn[disabled] {\\n  cursor: not-allowed;\\n  pointer-events: none;\\n  opacity: 0.65;\\n  box-shadow: none;\\n}\\n.bk-root .bk-btn-default {\\n  color: #333;\\n  background-color: #fff;\\n  border-color: #ccc;\\n}\\n.bk-root .bk-btn-default:hover {\\n  background-color: #f5f5f5;\\n  border-color: #b8b8b8;\\n}\\n.bk-root .bk-btn-default.bk-active {\\n  background-color: #ebebeb;\\n  border-color: #adadad;\\n}\\n.bk-root .bk-btn-default[disabled],\\n.bk-root .bk-btn-default[disabled]:hover,\\n.bk-root .bk-btn-default[disabled]:focus,\\n.bk-root .bk-btn-default[disabled]:active,\\n.bk-root .bk-btn-default[disabled].bk-active {\\n  background-color: #e6e6e6;\\n  border-color: #ccc;\\n}\\n.bk-root .bk-btn-primary {\\n  color: #fff;\\n  background-color: #428bca;\\n  border-color: #357ebd;\\n}\\n.bk-root .bk-btn-primary:hover {\\n  background-color: #3681c1;\\n  border-color: #2c699e;\\n}\\n.bk-root .bk-btn-primary.bk-active {\\n  background-color: #3276b1;\\n  border-color: #285e8e;\\n}\\n.bk-root .bk-btn-primary[disabled],\\n.bk-root .bk-btn-primary[disabled]:hover,\\n.bk-root .bk-btn-primary[disabled]:focus,\\n.bk-root .bk-btn-primary[disabled]:active,\\n.bk-root .bk-btn-primary[disabled].bk-active {\\n  background-color: #506f89;\\n  border-color: #357ebd;\\n}\\n.bk-root .bk-btn-success {\\n  color: #fff;\\n  background-color: #5cb85c;\\n  border-color: #4cae4c;\\n}\\n.bk-root .bk-btn-success:hover {\\n  background-color: #4eb24e;\\n  border-color: #409240;\\n}\\n.bk-root .bk-btn-success.bk-active {\\n  background-color: #47a447;\\n  border-color: #398439;\\n}\\n.bk-root .bk-btn-success[disabled],\\n.bk-root .bk-btn-success[disabled]:hover,\\n.bk-root .bk-btn-success[disabled]:focus,\\n.bk-root .bk-btn-success[disabled]:active,\\n.bk-root .bk-btn-success[disabled].bk-active {\\n  background-color: #667b66;\\n  border-color: #4cae4c;\\n}\\n.bk-root .bk-btn-warning {\\n  color: #fff;\\n  background-color: #f0ad4e;\\n  border-color: #eea236;\\n}\\n.bk-root .bk-btn-warning:hover {\\n  background-color: #eea43b;\\n  border-color: #e89014;\\n}\\n.bk-root .bk-btn-warning.bk-active {\\n  background-color: #ed9c28;\\n  border-color: #d58512;\\n}\\n.bk-root .bk-btn-warning[disabled],\\n.bk-root .bk-btn-warning[disabled]:hover,\\n.bk-root .bk-btn-warning[disabled]:focus,\\n.bk-root .bk-btn-warning[disabled]:active,\\n.bk-root .bk-btn-warning[disabled].bk-active {\\n  background-color: #c89143;\\n  border-color: #eea236;\\n}\\n.bk-root .bk-btn-danger {\\n  color: #fff;\\n  background-color: #d9534f;\\n  border-color: #d43f3a;\\n}\\n.bk-root .bk-btn-danger:hover {\\n  background-color: #d5433e;\\n  border-color: #bd2d29;\\n}\\n.bk-root .bk-btn-danger.bk-active {\\n  background-color: #d2322d;\\n  border-color: #ac2925;\\n}\\n.bk-root .bk-btn-danger[disabled],\\n.bk-root .bk-btn-danger[disabled]:hover,\\n.bk-root .bk-btn-danger[disabled]:focus,\\n.bk-root .bk-btn-danger[disabled]:active,\\n.bk-root .bk-btn-danger[disabled].bk-active {\\n  background-color: #a55350;\\n  border-color: #d43f3a;\\n}\\n.bk-root .bk-btn-group {\\n  height: 100%;\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-btn-group > .bk-btn {\\n  flex-grow: 1;\\n  -webkit-flex-grow: 1;\\n}\\n.bk-root .bk-btn-group > .bk-btn + .bk-btn {\\n  margin-left: -1px;\\n}\\n.bk-root .bk-btn-group > .bk-btn:first-child:not(:last-child) {\\n  border-bottom-right-radius: 0;\\n  border-top-right-radius: 0;\\n}\\n.bk-root .bk-btn-group > .bk-btn:not(:first-child):last-child {\\n  border-bottom-left-radius: 0;\\n  border-top-left-radius: 0;\\n}\\n.bk-root .bk-btn-group > .bk-btn:not(:first-child):not(:last-child) {\\n  border-radius: 0;\\n}\\n.bk-root .bk-btn-group .bk-dropdown-toggle {\\n  flex: 0 0 0;\\n  -webkit-flex: 0 0 0;\\n  padding: 6px 6px;\\n}\\n\"),b.bk_btn=\"bk-btn\",b.bk_btn_group=\"bk-btn-group\",b.bk_btn_default=\"bk-btn-default\",b.bk_btn_primary=\"bk-btn-primary\",b.bk_btn_success=\"bk-btn-success\",b.bk_btn_warning=\"bk-btn-warning\",b.bk_btn_danger=\"bk-btn-danger\",b.bk_btn_type=function(n){switch(n){case\"default\":return b.bk_btn_default;case\"primary\":return b.bk_btn_primary;case\"success\":return b.bk_btn_success;case\"warning\":return b.bk_btn_warning;case\"danger\":return b.bk_btn_danger}},b.bk_dropdown_toggle=\"bk-dropdown-toggle\"},\n",
       "      function _(n,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});const b=n(1);n(67),b.__importStar(n(66)).styles.append(\".bk-root .bk-menu {\\n  position: absolute;\\n  left: 0;\\n  width: 100%;\\n  z-index: 100;\\n  cursor: pointer;\\n  font-size: 12px;\\n  background-color: #fff;\\n  border: 1px solid #ccc;\\n  border-radius: 4px;\\n  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\\n}\\n.bk-root .bk-menu.bk-above {\\n  bottom: 100%;\\n}\\n.bk-root .bk-menu.bk-below {\\n  top: 100%;\\n}\\n.bk-root .bk-menu > .bk-divider {\\n  height: 1px;\\n  margin: 7.5px 0;\\n  overflow: hidden;\\n  background-color: #e5e5e5;\\n}\\n.bk-root .bk-menu > :not(.bk-divider) {\\n  padding: 6px 12px;\\n}\\n.bk-root .bk-menu > :not(.bk-divider):hover,\\n.bk-root .bk-menu > :not(.bk-divider).bk-active {\\n  background-color: #e6e6e6;\\n}\\n.bk-root .bk-caret {\\n  display: inline-block;\\n  vertical-align: middle;\\n  width: 0;\\n  height: 0;\\n  margin: 0 5px;\\n}\\n.bk-root .bk-caret.bk-down {\\n  border-top: 4px solid;\\n}\\n.bk-root .bk-caret.bk-up {\\n  border-bottom: 4px solid;\\n}\\n.bk-root .bk-caret.bk-down,\\n.bk-root .bk-caret.bk-up {\\n  border-right: 4px solid transparent;\\n  border-left: 4px solid transparent;\\n}\\n.bk-root .bk-caret.bk-left {\\n  border-right: 4px solid;\\n}\\n.bk-root .bk-caret.bk-right {\\n  border-left: 4px solid;\\n}\\n.bk-root .bk-caret.bk-left,\\n.bk-root .bk-caret.bk-right {\\n  border-top: 4px solid transparent;\\n  border-bottom: 4px solid transparent;\\n}\\n\"),r.bk_menu=\"bk-menu\",r.bk_caret=\"bk-caret\",r.bk_divider=\"bk-divider\"},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=e(245);class _ extends o.ColumnView{}i.WidgetBoxView=_,_.__name__=\"WidgetBoxView\";class n extends o.Column{constructor(e){super(e)}static init_WidgetBox(){this.prototype.default_view=_}}i.WidgetBox=n,n.__name__=\"WidgetBox\",n.init_WidgetBox()},\n",
       "      function _(r,a,o){Object.defineProperty(o,\"__esModule\",{value:!0});var e=r(256);o.CategoricalColorMapper=e.CategoricalColorMapper;var p=r(258);o.CategoricalMarkerMapper=p.CategoricalMarkerMapper;var l=r(259);o.CategoricalPatternMapper=l.CategoricalPatternMapper;var C=r(115);o.ContinuousColorMapper=C.ContinuousColorMapper;var M=r(116);o.ColorMapper=M.ColorMapper;var t=r(114);o.LinearColorMapper=t.LinearColorMapper;var i=r(260);o.LogColorMapper=i.LogColorMapper},\n",
       "      function _(r,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=r(1),a=r(257),c=r(116),i=o.__importStar(r(19));class s extends c.ColorMapper{constructor(r){super(r)}static init_CategoricalColorMapper(){this.define({factors:[i.Array],start:[i.Number,0],end:[i.Number]})}_v_compute(r,t,e,{nan_color:o}){a.cat_v_compute(r,this.factors,e,t,this.start,this.end,o)}}e.CategoricalColorMapper=s,s.__name__=\"CategoricalColorMapper\",s.init_CategoricalColorMapper()},\n",
       "      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const l=e(12),i=e(8);function u(e,n){if(e.length!=n.length)return!1;for(let t=0,l=e.length;t<l;t++)if(e[t]!==n[t])return!1;return!0}t._cat_equals=u,t.cat_v_compute=function(e,n,t,c,f,o,r){for(let _=0,g=e.length;_<g;_++){let g,s,d=e[_];i.isString(d)?g=l.index_of(n,d):(null!=f?d=null!=o?d.slice(f,o):d.slice(f):null!=o&&(d=d.slice(0,o)),g=1==d.length?l.index_of(n,d[0]):l.find_index(n,e=>u(e,d))),s=g<0||g>=t.length?r:t[g],c[_]=s}}},\n",
       "      function _(r,e,a){Object.defineProperty(a,\"__esModule\",{value:!0});const t=r(1),s=r(257),i=r(117),c=t.__importStar(r(19));class n extends i.Mapper{constructor(r){super(r)}static init_CategoricalMarkerMapper(){this.define({factors:[c.Array],markers:[c.Array],start:[c.Number,0],end:[c.Number],default_value:[c.MarkerType,\"circle\"]})}v_compute(r){const e=new Array(r.length);return s.cat_v_compute(r,this.factors,this.markers,e,this.start,this.end,this.default_value),e}}a.CategoricalMarkerMapper=n,n.__name__=\"CategoricalMarkerMapper\",n.init_CategoricalMarkerMapper()},\n",
       "      function _(t,e,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=t(1),n=t(257),s=t(117),i=r.__importStar(t(19));class c extends s.Mapper{constructor(t){super(t)}static init_CategoricalPatternMapper(){this.define({factors:[i.Array],patterns:[i.Array],start:[i.Number,0],end:[i.Number],default_value:[i.HatchPatternType,\" \"]})}v_compute(t){const e=new Array(t.length);return n.cat_v_compute(t,this.factors,this.patterns,e,this.start,this.end,this.default_value),e}}a.CategoricalPatternMapper=c,c.__name__=\"CategoricalPatternMapper\",c.init_CategoricalPatternMapper()},\n",
       "      function _(o,l,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=o(115),e=o(12);class i extends t.ContinuousColorMapper{constructor(o){super(o)}_v_compute(o,l,n,t){const{nan_color:i,low_color:h,high_color:c}=t,r=n.length,s=null!=this.low?this.low:e.min(o),u=null!=this.high?this.high:e.max(o),a=r/(Math.log(u)-Math.log(s)),g=n.length-1;for(let t=0,e=o.length;t<e;t++){const e=o[t];if(isNaN(e)){l[t]=i;continue}if(e>u){l[t]=null!=c?c:n[g];continue}if(e==u){l[t]=n[g];continue}if(e<s){l[t]=null!=h?h:n[0];continue}const r=Math.log(e)-Math.log(s);let _=Math.floor(r*a);_>g&&(_=g),l[t]=n[_]}}}n.LogColorMapper=i,i.__name__=\"LogColorMapper\"},\n",
       "      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0}),e(1).__exportStar(e(262),t);var a=e(263);t.Marker=a.Marker;var _=e(264);t.Scatter=_.Scatter},\n",
       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=e(263),s=Math.sqrt(3);function r(e,t){e.moveTo(-t,t),e.lineTo(t,-t),e.moveTo(-t,-t),e.lineTo(t,t)}function n(e,t){e.moveTo(0,t),e.lineTo(0,-t),e.moveTo(-t,0),e.lineTo(t,0)}function c(e,t){e.moveTo(0,t),e.lineTo(t/1.5,0),e.lineTo(0,-t),e.lineTo(-t/1.5,0),e.closePath()}function l(e,t){const o=t*s,i=o/3;e.moveTo(-t,i),e.lineTo(t,i),e.lineTo(0,i-o),e.closePath()}function a(e,t,o,i,s){const c=.65*o;n(e,o),r(e,c),i.doit&&(i.set_vectorize(e,t),e.stroke())}function d(e,t,o,i,s){e.arc(0,0,o,0,2*Math.PI,!1),s.doit&&(s.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),n(e,o),e.stroke())}function _(e,t,o,i,s){e.arc(0,0,o,0,2*Math.PI,!1),s.doit&&(s.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),r(e,o),e.stroke())}function v(e,t,o,i,s){n(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function f(e,t,o,i,s){c(e,o),s.doit&&(s.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function u(e,t,o,i,s){c(e,o),s.doit&&(s.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),n(e,o),e.stroke())}function T(e,t,o,i,r){!function(e,t){const o=t/2,i=s*o;e.moveTo(t,0),e.lineTo(o,-i),e.lineTo(-o,-i),e.lineTo(-t,0),e.lineTo(-o,i),e.lineTo(o,i),e.closePath()}(e,o),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function z(e,t,o,i,s){e.rotate(Math.PI),l(e,o),e.rotate(-Math.PI),s.doit&&(s.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function k(e,t,o,i,s){const r=2*o;e.rect(-o,-o,r,r),s.doit&&(s.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function m(e,t,o,i,s){const r=2*o;e.rect(-o,-o,r,r),s.doit&&(s.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),n(e,o),e.stroke())}function C(e,t,o,i,s){const n=2*o;e.rect(-o,-o,n,n),s.doit&&(s.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),r(e,o),e.stroke())}function h(e,t,o,i,s){l(e,o),s.doit&&(s.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function q(e,t,o,i,s){!function(e,t){e.moveTo(-t,0),e.lineTo(t,0)}(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function M(e,t,o,i,s){r(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function P(e,t){var o;const s=class extends i.MarkerView{static initClass(){this.prototype._render_one=t}};s.initClass();const r=((o=class extends i.Marker{static initClass(){this.prototype.default_view=s}}).__name__=e,o);return r.initClass(),r}o.Asterisk=P(\"Asterisk\",a),o.CircleCross=P(\"CircleCross\",d),o.CircleX=P(\"CircleX\",_),o.Cross=P(\"Cross\",v),o.Dash=P(\"Dash\",q),o.Diamond=P(\"Diamond\",f),o.DiamondCross=P(\"DiamondCross\",u),o.Hex=P(\"Hex\",T),o.InvertedTriangle=P(\"InvertedTriangle\",z),o.Square=P(\"Square\",k),o.SquareCross=P(\"SquareCross\",m),o.SquareX=P(\"SquareX\",C),o.Triangle=P(\"Triangle\",h),o.X=P(\"X\",M),o.marker_funcs={asterisk:a,circle:function(e,t,o,i,s){e.arc(0,0,o,0,2*Math.PI,!1),s.doit&&(s.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())},circle_cross:d,circle_x:_,cross:v,diamond:f,diamond_cross:u,hex:T,inverted_triangle:z,square:k,square_cross:m,square_x:C,triangle:h,dash:q,x:M}},\n",
       "      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(1),r=e(81),n=i.__importStar(e(87)),a=i.__importStar(e(19)),_=e(9);class h extends r.XYGlyphView{_render(e,s,{sx:t,sy:i,_size:r,_angle:n}){for(const a of s){if(isNaN(t[a]+i[a]+r[a]+n[a]))continue;const s=r[a]/2;e.beginPath(),e.translate(t[a],i[a]),n[a]&&e.rotate(n[a]),this._render_one(e,a,s,this.visuals.line,this.visuals.fill),n[a]&&e.rotate(-n[a]),e.translate(-t[a],-i[a])}}_mask_data(){const e=this.renderer.plot_view.frame.bbox.h_range,s=e.start-this.max_size,t=e.end+this.max_size,[i,r]=this.renderer.xscale.r_invert(s,t),n=this.renderer.plot_view.frame.bbox.v_range,a=n.start-this.max_size,_=n.end+this.max_size,[h,c]=this.renderer.yscale.r_invert(a,_);return this.index.indices({x0:i,x1:r,y0:h,y1:c})}_hit_point(e){const{sx:s,sy:t}=e,i=s-this.max_size,r=s+this.max_size,[a,_]=this.renderer.xscale.r_invert(i,r),h=t-this.max_size,c=t+this.max_size,[o,x]=this.renderer.yscale.r_invert(h,c),l=this.index.indices({x0:a,x1:_,y0:o,y1:x}),y=[];for(const e of l){const i=this._size[e]/2,r=Math.abs(this.sx[e]-s)+Math.abs(this.sy[e]-t);Math.abs(this.sx[e]-s)<=i&&Math.abs(this.sy[e]-t)<=i&&y.push([e,r])}return n.create_hit_test_result_from_hits(y)}_hit_span(e){const{sx:s,sy:t}=e,i=this.bounds(),r=this.max_size/2,a=n.create_empty_hit_test_result();let _,h,c,o;if(\"h\"==e.direction){c=i.y0,o=i.y1;const e=s-r,t=s+r;[_,h]=this.renderer.xscale.r_invert(e,t)}else{_=i.x0,h=i.x1;const e=t-r,s=t+r;[c,o]=this.renderer.yscale.r_invert(e,s)}const x=this.index.indices({x0:_,x1:h,y0:c,y1:o});return a.indices=x,a}_hit_rect(e){const{sx0:s,sx1:t,sy0:i,sy1:r}=e,[a,_]=this.renderer.xscale.r_invert(s,t),[h,c]=this.renderer.yscale.r_invert(i,r),o=n.create_empty_hit_test_result();return o.indices=this.index.indices({x0:a,x1:_,y0:h,y1:c}),o}_hit_poly(e){const{sx:s,sy:t}=e,i=_.range(0,this.sx.length),r=[];for(let e=0,a=i.length;e<a;e++){const a=i[e];n.point_in_poly(this.sx[e],this.sy[e],s,t)&&r.push(a)}const a=n.create_empty_hit_test_result();return a.indices=r,a}draw_legend_for_index(e,{x0:s,x1:t,y0:i,y1:r},n){const a=n+1,_=new Array(a);_[n]=(s+t)/2;const h=new Array(a);h[n]=(i+r)/2;const c=new Array(a);c[n]=.4*Math.min(Math.abs(t-s),Math.abs(r-i));const o=new Array(a);o[n]=0,this._render(e,[n],{sx:_,sy:h,_size:c,_angle:o})}}t.MarkerView=h,h.__name__=\"MarkerView\";class c extends r.XYGlyph{constructor(e){super(e)}static init_Marker(){this.mixins([\"line\",\"fill\"]),this.define({size:[a.DistanceSpec,{units:\"screen\",value:4}],angle:[a.AngleSpec,0]})}}t.Marker=c,c.__name__=\"Marker\",c.init_Marker()},\n",
       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const a=e(1),s=e(263),n=e(262),i=a.__importStar(e(19));class _ extends s.MarkerView{_render(e,t,{sx:r,sy:a,_size:s,_angle:i,_marker:_}){for(const c of t){if(isNaN(r[c]+a[c]+s[c]+i[c])||null==_[c])continue;const t=s[c]/2;e.beginPath(),e.translate(r[c],a[c]),i[c]&&e.rotate(i[c]),n.marker_funcs[_[c]](e,c,t,this.visuals.line,this.visuals.fill),i[c]&&e.rotate(-i[c]),e.translate(-r[c],-a[c])}}draw_legend_for_index(e,{x0:t,x1:r,y0:a,y1:s},n){const i=n+1,_=new Array(i);_[n]=(t+r)/2;const c=new Array(i);c[n]=(a+s)/2;const o=new Array(i);o[n]=.4*Math.min(Math.abs(r-t),Math.abs(s-a));const l=new Array(i);l[n]=0;const u=new Array(i);u[n]=this._marker[n],this._render(e,[n],{sx:_,sy:c,_size:o,_angle:l,_marker:u})}}r.ScatterView=_,_.__name__=\"ScatterView\";class c extends s.Marker{constructor(e){super(e)}static init_Scatter(){this.prototype.default_view=_,this.define({marker:[i.MarkerSpec,{value:\"circle\"}]})}}r.Scatter=c,c.__name__=\"Scatter\",c.init_Scatter()},\n",
       "      function _(a,o,p){Object.defineProperty(p,\"__esModule\",{value:!0});var t=a(266);p.MapOptions=t.MapOptions;var e=a(266);p.GMapOptions=e.GMapOptions;var n=a(266);p.GMapPlot=n.GMapPlot;var M=a(267);p.Plot=M.Plot},\n",
       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=t(1),n=t(70),a=t(267),s=o.__importStar(t(19)),p=t(69),r=t(130),_=t(287);i.GMapPlotView=_.GMapPlotView;class l extends p.Model{constructor(t){super(t)}static init_MapOptions(){this.define({lat:[s.Number],lng:[s.Number],zoom:[s.Number,12]})}}i.MapOptions=l,l.__name__=\"MapOptions\",l.init_MapOptions();class c extends l{constructor(t){super(t)}static init_GMapOptions(){this.define({map_type:[s.String,\"roadmap\"],scale_control:[s.Boolean,!1],styles:[s.String],tilt:[s.Int,45]})}}i.GMapOptions=c,c.__name__=\"GMapOptions\",c.init_GMapOptions();class u extends a.Plot{constructor(t){super(t)}static init_GMapPlot(){this.prototype.default_view=_.GMapPlotView,this.define({map_options:[s.Instance],api_key:[s.String]}),this.override({x_range:()=>new r.Range1d,y_range:()=>new r.Range1d})}initialize(){super.initialize(),this.use_map=!0,this.api_key||n.logger.error(\"api_key is required. See https://developers.google.com/maps/documentation/javascript/get-api-key for more information on how to obtain your own.\")}}i.GMapPlot=u,u.__name__=\"GMapPlot\",u.init_GMapPlot()},\n",
       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=e(1).__importStar(e(19)),o=e(14),i=e(9),a=e(23),l=e(8),s=e(244),_=e(141),h=e(119),c=e(268),u=e(73),d=e(78),b=e(185),g=e(280);r.PlotView=g.PlotView;class m extends s.LayoutDOM{constructor(e){super(e)}static init_Plot(){this.prototype.default_view=g.PlotView,this.mixins([\"line:outline_\",\"fill:background_\",\"fill:border_\"]),this.define({toolbar:[n.Instance,()=>new c.Toolbar],toolbar_location:[n.Location,\"right\"],toolbar_sticky:[n.Boolean,!0],plot_width:[n.Number,600],plot_height:[n.Number,600],frame_width:[n.Number,null],frame_height:[n.Number,null],title:[n.Any,()=>new _.Title({text:\"\"})],title_location:[n.Location,\"above\"],above:[n.Array,[]],below:[n.Array,[]],left:[n.Array,[]],right:[n.Array,[]],center:[n.Array,[]],renderers:[n.Array,[]],x_range:[n.Instance,()=>new b.DataRange1d],extra_x_ranges:[n.Any,{}],y_range:[n.Instance,()=>new b.DataRange1d],extra_y_ranges:[n.Any,{}],x_scale:[n.Instance,()=>new h.LinearScale],y_scale:[n.Instance,()=>new h.LinearScale],lod_factor:[n.Number,10],lod_interval:[n.Number,300],lod_threshold:[n.Number,2e3],lod_timeout:[n.Number,500],hidpi:[n.Boolean,!0],output_backend:[n.OutputBackend,\"canvas\"],min_border:[n.Number,5],min_border_top:[n.Number,null],min_border_left:[n.Number,null],min_border_bottom:[n.Number,null],min_border_right:[n.Number,null],inner_width:[n.Number],inner_height:[n.Number],outer_width:[n.Number],outer_height:[n.Number],match_aspect:[n.Boolean,!1],aspect_scale:[n.Number,1],reset_policy:[n.ResetPolicy,\"standard\"]}),this.override({outline_line_color:\"#e5e5e5\",border_fill_color:\"#ffffff\",background_fill_color:\"#ffffff\"})}get width(){const e=this.getv(\"width\");return null!=e?e:this.plot_width}get height(){const e=this.getv(\"height\");return null!=e?e:this.plot_height}_doc_attached(){super._doc_attached(),this._tell_document_about_change(\"inner_height\",null,this.inner_height,{}),this._tell_document_about_change(\"inner_width\",null,this.inner_width,{})}initialize(){super.initialize(),this.reset=new o.Signal0(this,\"reset\");for(const e of a.values(this.extra_x_ranges).concat(this.x_range)){let t=e.plots;l.isArray(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}for(const e of a.values(this.extra_y_ranges).concat(this.y_range)){let t=e.plots;l.isArray(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}}add_layout(e,t=\"center\"){this.getv(t).push(e)}remove_layout(e){const t=t=>{i.remove_by(t,t=>t==e)};t(this.left),t(this.right),t(this.above),t(this.below),t(this.center)}add_renderers(...e){this.renderers=this.renderers.concat(e)}add_glyph(e,t=new u.ColumnDataSource,r={}){const n=Object.assign(Object.assign({},r),{data_source:t,glyph:e}),o=new d.GlyphRenderer(n);return this.add_renderers(o),o}add_tools(...e){this.toolbar.tools=this.toolbar.tools.concat(e)}get panels(){return this.side_panels.concat(this.center)}get side_panels(){const{above:e,below:t,left:r,right:n}=this;return i.concat([e,t,r,n])}}r.Plot=m,m.__name__=\"Plot\",m.init_Plot()},\n",
       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1).__importStar(t(19)),c=t(8),o=t(9),n=t(269),a=t(274),l=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},r=t=>\"tap\"==t||\"pan\"==t;class _ extends a.ToolbarBase{constructor(t){super(t)}static init_Toolbar(){this.prototype.default_view=a.ToolbarBaseView,this.define({active_drag:[i.Any,\"auto\"],active_inspect:[i.Any,\"auto\"],active_scroll:[i.Any,\"auto\"],active_tap:[i.Any,\"auto\"],active_multi:[i.Any,null]})}connect_signals(){super.connect_signals(),this.connect(this.properties.tools.change,()=>this._init_tools())}_init_tools(){if(super._init_tools(),\"auto\"==this.active_inspect);else if(this.active_inspect instanceof n.InspectTool){let t=!1;for(const s of this.inspectors)s!=this.active_inspect?s.active=!1:t=!0;t||(this.active_inspect=null)}else if(c.isArray(this.active_inspect)){const t=o.intersection(this.active_inspect,this.inspectors);t.length!=this.active_inspect.length&&(this.active_inspect=t);for(const t of this.inspectors)o.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 in this.gestures){const s=this.gestures[t];s.tools=o.sort_by(s.tools,t=>t.default_order);for(const t of s.tools)this.connect(t.properties.active.change,this._active_change.bind(this,t))}for(const s in this.gestures){const e=l(s);if(e){const i=this[e];if(\"auto\"==i){const e=this.gestures[s];0!=e.tools.length&&r(s)&&t(e.tools[0])}else null!=i&&(o.includes(this.tools,i)?t(i):this[e]=null)}}}}e.Toolbar=_,_.__name__=\"Toolbar\",_.init_Toolbar()},\n",
       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const n=e(1),s=e(270),i=e(273),_=n.__importStar(e(19));class c extends s.ButtonToolView{}o.InspectToolView=c,c.__name__=\"InspectToolView\";class l extends s.ButtonTool{constructor(e){super(e),this.event_type=\"move\"}static init_InspectTool(){this.prototype.button_view=i.OnOffButtonView,this.define({toggleable:[_.Boolean,!0]}),this.override({active:!0})}}o.InspectTool=l,l.__name__=\"InspectTool\",l.init_InspectTool()},\n",
       "      function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=t(1),s=t(64),n=t(271),l=t(66),c=i.__importStar(t(19)),a=t(25),r=t(8),_=t(272);class u extends s.DOMView{initialize(){super.initialize(),this.connect(this.model.change,()=>this.render()),this.el.addEventListener(\"click\",()=>this._clicked()),this.render()}css_classes(){return super.css_classes().concat(_.bk_toolbar_button)}render(){l.empty(this.el);const t=this.model.computed_icon;r.isString(t)&&(a.startsWith(t,\"data:image\")?this.el.style.backgroundImage=\"url('\"+t+\"')\":this.el.classList.add(t)),this.el.title=this.model.tooltip}}o.ButtonToolButtonView=u,u.__name__=\"ButtonToolButtonView\";class d extends n.ToolView{}o.ButtonToolView=d,d.__name__=\"ButtonToolView\";class h extends n.Tool{constructor(t){super(t)}static init_ButtonTool(){this.internal({disabled:[c.Boolean,!1]})}get tooltip(){return this.tool_name}get computed_icon(){return this.icon}}o.ButtonTool=h,h.__name__=\"ButtonTool\",h.init_ButtonTool()},\n",
       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1).__importStar(t(19)),o=t(65),s=t(9),a=t(69);class r extends o.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(){}}i.ToolView=r,r.__name__=\"ToolView\";class _ extends a.Model{constructor(t){super(t)}static init_Tool(){this.prototype._known_aliases=new Map,this.internal({active:[n.Boolean,!1]})}get synthetic_renderers(){return[]}_get_dim_tooltip(t,e){switch(e){case\"width\":return`${t} (x-axis)`;case\"height\":return`${t} (y-axis)`;case\"both\":return t}}_get_dim_limits([t,e],[i,n],o,a){const r=o.bbox.h_range;let _;\"width\"==a||\"both\"==a?(_=[s.min([t,i]),s.max([t,i])],_=[s.max([_[0],r.start]),s.min([_[1],r.end])]):_=[r.start,r.end];const l=o.bbox.v_range;let c;return\"height\"==a||\"both\"==a?(c=[s.min([e,n]),s.max([e,n])],c=[s.max([c[0],l.start]),s.min([c[1],l.end])]):c=[l.start,l.end],[_,c]}static register_alias(t,e){this.prototype._known_aliases.set(t,e)}static from_string(t){const e=this.prototype._known_aliases.get(t);if(null!=e)return e();{const e=[...this.prototype._known_aliases.keys()];throw new Error(`unexpected tool name '${t}', possible tools are ${e.join(\", \")}`)}}}i.Tool=_,_.__name__=\"Tool\",_.init_Tool()},\n",
       "      function _(o,b,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=o(1);o(67),n.__importStar(o(66)).styles.append('.bk-root .bk-toolbar-hidden {\\n  visibility: hidden;\\n  opacity: 0;\\n  transition: visibility 0.3s linear, opacity 0.3s linear;\\n}\\n.bk-root .bk-toolbar,\\n.bk-root .bk-button-bar {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n}\\n.bk-root .bk-toolbar .bk-logo {\\n  flex-shrink: 0;\\n  -webkit-flex-shrink: 0;\\n}\\n.bk-root .bk-toolbar.bk-above,\\n.bk-root .bk-toolbar.bk-below {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n  justify-content: flex-end;\\n  -webkit-justify-content: flex-end;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-button-bar,\\n.bk-root .bk-toolbar.bk-below .bk-button-bar {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-logo,\\n.bk-root .bk-toolbar.bk-below .bk-logo {\\n  order: 1;\\n  -webkit-order: 1;\\n  margin-left: 5px;\\n  margin-right: 0px;\\n}\\n.bk-root .bk-toolbar.bk-left,\\n.bk-root .bk-toolbar.bk-right {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n  justify-content: flex-start;\\n  -webkit-justify-content: flex-start;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-button-bar,\\n.bk-root .bk-toolbar.bk-right .bk-button-bar {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-logo,\\n.bk-root .bk-toolbar.bk-right .bk-logo {\\n  order: 0;\\n  -webkit-order: 0;\\n  margin-bottom: 5px;\\n  margin-top: 0px;\\n}\\n.bk-root .bk-toolbar-button {\\n  width: 30px;\\n  height: 30px;\\n  background-size: 60%;\\n  background-color: transparent;\\n  background-repeat: no-repeat;\\n  background-position: center center;\\n}\\n.bk-root .bk-toolbar-button:hover {\\n  background-color: #f9f9f9;\\n}\\n.bk-root .bk-toolbar-button:focus {\\n  outline: none;\\n}\\n.bk-root .bk-toolbar-button::-moz-focus-inner {\\n  border: 0;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-toolbar-button {\\n  border-bottom: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-toolbar-button.bk-active {\\n  border-bottom-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-below .bk-toolbar-button {\\n  border-top: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-below .bk-toolbar-button.bk-active {\\n  border-top-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-right .bk-toolbar-button {\\n  border-left: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-right .bk-toolbar-button.bk-active {\\n  border-left-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-toolbar-button {\\n  border-right: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-toolbar-button.bk-active {\\n  border-right-color: #26aae1;\\n}\\n.bk-root .bk-button-bar + .bk-button-bar:before {\\n  content: \" \";\\n  display: inline-block;\\n  background-color: lightgray;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-button-bar + .bk-button-bar:before,\\n.bk-root .bk-toolbar.bk-below .bk-button-bar + .bk-button-bar:before {\\n  height: 10px;\\n  width: 1px;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-button-bar + .bk-button-bar:before,\\n.bk-root .bk-toolbar.bk-right .bk-button-bar + .bk-button-bar:before {\\n  height: 1px;\\n  width: 10px;\\n}\\n'),t.bk_toolbar=\"bk-toolbar\",t.bk_toolbar_hidden=\"bk-toolbar-hidden\",t.bk_toolbar_button=\"bk-toolbar-button\",t.bk_button_bar=\"bk-button-bar\",t.bk_toolbar_button_custom_action=\"bk-toolbar-button-custom-action\"},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(270),n=e(145);class o extends s.ButtonToolButtonView{render(){super.render(),this.model.active?this.el.classList.add(n.bk_active):this.el.classList.remove(n.bk_active)}_clicked(){const e=this.model.active;this.model.active=!e}}i.OnOffButtonView=o,o.__name__=\"OnOffButtonView\"},\n",
       "      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),s=t(70),l=t(66),n=t(96),a=i.__importStar(t(19)),r=t(64),_=t(9),c=t(15),h=t(8),u=t(69),d=t(275),v=t(276),b=t(277),p=t(269),g=t(272),m=t(279),f=t(145);class w extends u.Model{constructor(t){super(t)}static init_ToolbarViewModel(){this.define({_visible:[a.Any,null],autohide:[a.Boolean,!1]})}get visible(){return!this.autohide||null!=this._visible&&this._visible}}e.ToolbarViewModel=w,w.__name__=\"ToolbarViewModel\",w.init_ToolbarViewModel();class y extends r.DOMView{initialize(){super.initialize(),this._tool_button_views={},this._toolbar_view_model=new w({autohide:this.model.autohide})}async lazy_initialize(){await this._build_tool_button_views()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.t