tej87681088/TEJAPI_Python_Herd_Indicator.ipynb

## TEJAPI_Python_Herd_Indicator.ipynb
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "f77111ec",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import tejapi\n",
    "import statsmodels.api as sm\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.transforms as transforms\n",
    "plt.rcParams['font.sans-serif'] = ['Arial Unicode MS'] # 解決MAC電腦 plot中文問題\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "tejapi.ApiConfig.api_key =\"Your Key\"\n",
    "tejapi.ApiConfig.ignoretz = True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "9d1674b3",
   "metadata": {},
   "outputs": [],
   "source": [
    "import plotly.express as px\n",
    "import plotly.graph_objects as go\n",
    "from plotly.subplots import make_subplots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "cd50f904",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = tejapi.get('TWN/ADT',  #從TEJ api撈取所需要的資料\n",
    "                  chinese_column_name = True,\n",
    "                  paginate = True,\n",
    "                  mdate = {'gt':'2015-01-01'},\n",
    "                  coid='Y9999',\n",
    "                  opts={'columns':['coid','mdate','volume', \"vol_dt\"]})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "b0da734e",
   "metadata": {},
   "outputs": [],
   "source": [
    "df1 = tejapi.get('TWN/AGIN',  #從TEJ api撈取所需要的資料\n",
    "                  chinese_column_name = True,\n",
    "                  paginate = True,\n",
    "                  mdate = {'gt':'2015-01-01'},\n",
    "                  coid='Y9999',\n",
    "                  opts={'columns':['coid','mdate','buy_l', \"sell_l\", \"buy_s\", \"sell_s\"]})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f4133018",
   "metadata": {},
   "outputs": [],
   "source": [
    "df1.rename(columns={'年月日':'日期'}, inplace=True)\n",
    "df1.set_index(df1['日期'],inplace=True)\n",
    "df1.drop(columns={'日期'},inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "b6350c33",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.set_index(df['日期'],inplace=True)\n",
    "df.drop(columns={'日期'},inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "40017bea",
   "metadata": {},
   "outputs": [],
   "source": [
    "herding = pd.merge(df1, df.iloc[:,1:], left_index=True, right_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "afbd9c24",
   "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>公司代碼</th>\n",
       "      <th>融資買進(張)</th>\n",
       "      <th>融資賣出(張)</th>\n",
       "      <th>融券買進(張)</th>\n",
       "      <th>融券賣出(張)</th>\n",
       "      <th>成交量(千股)</th>\n",
       "      <th>現股當沖量(千股)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>日期</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>2015-01-05</th>\n",
       "      <td>Y9999</td>\n",
       "      <td>468808</td>\n",
       "      <td>396466</td>\n",
       "      <td>24246</td>\n",
       "      <td>57407</td>\n",
       "      <td>4852267</td>\n",
       "      <td>120887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-06</th>\n",
       "      <td>Y9999</td>\n",
       "      <td>481077</td>\n",
       "      <td>411912</td>\n",
       "      <td>49293</td>\n",
       "      <td>42807</td>\n",
       "      <td>6230285</td>\n",
       "      <td>120922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-07</th>\n",
       "      <td>Y9999</td>\n",
       "      <td>425479</td>\n",
       "      <td>383694</td>\n",
       "      <td>32611</td>\n",
       "      <td>51242</td>\n",
       "      <td>5479103</td>\n",
       "      <td>143972</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-08</th>\n",
       "      <td>Y9999</td>\n",
       "      <td>514776</td>\n",
       "      <td>518650</td>\n",
       "      <td>30775</td>\n",
       "      <td>57063</td>\n",
       "      <td>6379855</td>\n",
       "      <td>133446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-09</th>\n",
       "      <td>Y9999</td>\n",
       "      <td>482267</td>\n",
       "      <td>458495</td>\n",
       "      <td>29567</td>\n",
       "      <td>38157</td>\n",
       "      <td>5433889</td>\n",
       "      <td>112825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-10-06</th>\n",
       "      <td>Y9999</td>\n",
       "      <td>161329</td>\n",
       "      <td>140354</td>\n",
       "      <td>23876</td>\n",
       "      <td>36373</td>\n",
       "      <td>4677393</td>\n",
       "      <td>938292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-10-07</th>\n",
       "      <td>Y9999</td>\n",
       "      <td>184629</td>\n",
       "      <td>144493</td>\n",
       "      <td>27344</td>\n",
       "      <td>41788</td>\n",
       "      <td>4357709</td>\n",
       "      <td>817261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-10-11</th>\n",
       "      <td>Y9999</td>\n",
       "      <td>238091</td>\n",
       "      <td>234339</td>\n",
       "      <td>70597</td>\n",
       "      <td>66310</td>\n",
       "      <td>6460863</td>\n",
       "      <td>1067624</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-10-12</th>\n",
       "      <td>Y9999</td>\n",
       "      <td>185283</td>\n",
       "      <td>177072</td>\n",
       "      <td>42473</td>\n",
       "      <td>43913</td>\n",
       "      <td>5210228</td>\n",
       "      <td>1153917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-10-13</th>\n",
       "      <td>Y9999</td>\n",
       "      <td>265353</td>\n",
       "      <td>364120</td>\n",
       "      <td>48018</td>\n",
       "      <td>59309</td>\n",
       "      <td>6478076</td>\n",
       "      <td>1338300</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1902 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             公司代碼  融資買進(張)  融資賣出(張)  融券買進(張)  融券賣出(張)  成交量(千股)  現股當沖量(千股)\n",
       "日期                                                                       \n",
       "2015-01-05  Y9999   468808   396466    24246    57407  4852267     120887\n",
       "2015-01-06  Y9999   481077   411912    49293    42807  6230285     120922\n",
       "2015-01-07  Y9999   425479   383694    32611    51242  5479103     143972\n",
       "2015-01-08  Y9999   514776   518650    30775    57063  6379855     133446\n",
       "2015-01-09  Y9999   482267   458495    29567    38157  5433889     112825\n",
       "...           ...      ...      ...      ...      ...      ...        ...\n",
       "2022-10-06  Y9999   161329   140354    23876    36373  4677393     938292\n",
       "2022-10-07  Y9999   184629   144493    27344    41788  4357709     817261\n",
       "2022-10-11  Y9999   238091   234339    70597    66310  6460863    1067624\n",
       "2022-10-12  Y9999   185283   177072    42473    43913  5210228    1153917\n",
       "2022-10-13  Y9999   265353   364120    48018    59309  6478076    1338300\n",
       "\n",
       "[1902 rows x 7 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "herding"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "14bbb966",
   "metadata": {},
   "source": [
    "散戶買進：(融資買進+融券回補)/(成交量-當沖量)\n",
    "散戶賣出：(融資賣出+融券賣出)/(成交量-當沖量)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "ab1a7718",
   "metadata": {},
   "outputs": [],
   "source": [
    "herding['buy'] = ((herding['融資買進(張)']+herding['融券買進(張)'])/(herding['成交量(千股)']-herding['現股當沖量(千股)']))*100\n",
    "herding['sell'] = ((herding['融資賣出(張)']+herding['融券賣出(張)'])/(herding['成交量(千股)']-herding['現股當沖量(千股)']))*100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "0b557af3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>公司代碼</th>\n",
       "      <th>融資買進(張)</th>\n",
       "      <th>融資賣出(張)</th>\n",
       "      <th>融券買進(張)</th>\n",
       "      <th>融券賣出(張)</th>\n",
       "      <th>成交量(千股)</th>\n",
       "      <th>現股當沖量(千股)</th>\n",
       "      <th>buy</th>\n",
       "      <th>sell</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>日期</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>2015-01-05</th>\n",
       "      <td>Y9999</td>\n",
       "      <td>468808</td>\n",
       "      <td>396466</td>\n",
       "      <td>24246</td>\n",
       "      <td>57407</td>\n",
       "      <td>4852267</td>\n",
       "      <td>120887</td>\n",
       "      <td>10.420934</td>\n",
       "      <td>9.592825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-06</th>\n",
       "      <td>Y9999</td>\n",
       "      <td>481077</td>\n",
       "      <td>411912</td>\n",
       "      <td>49293</td>\n",
       "      <td>42807</td>\n",
       "      <td>6230285</td>\n",
       "      <td>120922</td>\n",
       "      <td>8.681265</td>\n",
       "      <td>7.442985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-07</th>\n",
       "      <td>Y9999</td>\n",
       "      <td>425479</td>\n",
       "      <td>383694</td>\n",
       "      <td>32611</td>\n",
       "      <td>51242</td>\n",
       "      <td>5479103</td>\n",
       "      <td>143972</td>\n",
       "      <td>8.586293</td>\n",
       "      <td>8.152302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-08</th>\n",
       "      <td>Y9999</td>\n",
       "      <td>514776</td>\n",
       "      <td>518650</td>\n",
       "      <td>30775</td>\n",
       "      <td>57063</td>\n",
       "      <td>6379855</td>\n",
       "      <td>133446</td>\n",
       "      <td>8.733834</td>\n",
       "      <td>9.216704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-09</th>\n",
       "      <td>Y9999</td>\n",
       "      <td>482267</td>\n",
       "      <td>458495</td>\n",
       "      <td>29567</td>\n",
       "      <td>38157</td>\n",
       "      <td>5433889</td>\n",
       "      <td>112825</td>\n",
       "      <td>9.619016</td>\n",
       "      <td>9.333697</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-10-06</th>\n",
       "      <td>Y9999</td>\n",
       "      <td>161329</td>\n",
       "      <td>140354</td>\n",
       "      <td>23876</td>\n",
       "      <td>36373</td>\n",
       "      <td>4677393</td>\n",
       "      <td>938292</td>\n",
       "      <td>4.953196</td>\n",
       "      <td>4.726457</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-10-07</th>\n",
       "      <td>Y9999</td>\n",
       "      <td>184629</td>\n",
       "      <td>144493</td>\n",
       "      <td>27344</td>\n",
       "      <td>41788</td>\n",
       "      <td>4357709</td>\n",
       "      <td>817261</td>\n",
       "      <td>5.987180</td>\n",
       "      <td>5.261509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-10-11</th>\n",
       "      <td>Y9999</td>\n",
       "      <td>238091</td>\n",
       "      <td>234339</td>\n",
       "      <td>70597</td>\n",
       "      <td>66310</td>\n",
       "      <td>6460863</td>\n",
       "      <td>1067624</td>\n",
       "      <td>5.723611</td>\n",
       "      <td>5.574554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-10-12</th>\n",
       "      <td>Y9999</td>\n",
       "      <td>185283</td>\n",
       "      <td>177072</td>\n",
       "      <td>42473</td>\n",
       "      <td>43913</td>\n",
       "      <td>5210228</td>\n",
       "      <td>1153917</td>\n",
       "      <td>5.614855</td>\n",
       "      <td>5.447930</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-10-13</th>\n",
       "      <td>Y9999</td>\n",
       "      <td>265353</td>\n",
       "      <td>364120</td>\n",
       "      <td>48018</td>\n",
       "      <td>59309</td>\n",
       "      <td>6478076</td>\n",
       "      <td>1338300</td>\n",
       "      <td>6.096978</td>\n",
       "      <td>8.238277</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1902 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             公司代碼  融資買進(張)  融資賣出(張)  融券買進(張)  融券賣出(張)  成交量(千股)  現股當沖量(千股)  \\\n",
       "日期                                                                          \n",
       "2015-01-05  Y9999   468808   396466    24246    57407  4852267     120887   \n",
       "2015-01-06  Y9999   481077   411912    49293    42807  6230285     120922   \n",
       "2015-01-07  Y9999   425479   383694    32611    51242  5479103     143972   \n",
       "2015-01-08  Y9999   514776   518650    30775    57063  6379855     133446   \n",
       "2015-01-09  Y9999   482267   458495    29567    38157  5433889     112825   \n",
       "...           ...      ...      ...      ...      ...      ...        ...   \n",
       "2022-10-06  Y9999   161329   140354    23876    36373  4677393     938292   \n",
       "2022-10-07  Y9999   184629   144493    27344    41788  4357709     817261   \n",
       "2022-10-11  Y9999   238091   234339    70597    66310  6460863    1067624   \n",
       "2022-10-12  Y9999   185283   177072    42473    43913  5210228    1153917   \n",
       "2022-10-13  Y9999   265353   364120    48018    59309  6478076    1338300   \n",
       "\n",
       "                  buy      sell  \n",
       "日期                               \n",
       "2015-01-05  10.420934  9.592825  \n",
       "2015-01-06   8.681265  7.442985  \n",
       "2015-01-07   8.586293  8.152302  \n",
       "2015-01-08   8.733834  9.216704  \n",
       "2015-01-09   9.619016  9.333697  \n",
       "...               ...       ...  \n",
       "2022-10-06   4.953196  4.726457  \n",
       "2022-10-07   5.987180  5.261509  \n",
       "2022-10-11   5.723611  5.574554  \n",
       "2022-10-12   5.614855  5.447930  \n",
       "2022-10-13   6.096978  8.238277  \n",
       "\n",
       "[1902 rows x 9 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "herding"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "a3c36c63",
   "metadata": {},
   "outputs": [],
   "source": [
    "df2 = tejapi.get('TWN/APRCD1',  #從TEJ api撈取所需要的資料\n",
    "                  chinese_column_name = True,\n",
    "                  paginate = True,\n",
    "                  mdate = {'gt':'2015-01-01'},\n",
    "                  coid='Y9999',\n",
    "                  opts={'columns':['coid','mdate','close_adj']})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "908ee919",
   "metadata": {},
   "outputs": [],
   "source": [
    "df2.rename(columns={'證券代碼':'公司代碼'},inplace=True)\n",
    "df2.rename(columns={'年月日':'日期'},inplace=True)\n",
    "df2.set_index(df2['日期'],inplace=True)\n",
    "df2.drop(columns={'日期'},inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "b7f1dfee",
   "metadata": {},
   "outputs": [],
   "source": [
    "result = pd.merge(herding,df2.iloc[:,1:], left_index=True, right_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "62bb59b6",
   "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>公司代碼</th>\n",
       "      <th>融資買進(張)</th>\n",
       "      <th>融資賣出(張)</th>\n",
       "      <th>融券買進(張)</th>\n",
       "      <th>融券賣出(張)</th>\n",
       "      <th>成交量(千股)</th>\n",
       "      <th>現股當沖量(千股)</th>\n",
       "      <th>buy</th>\n",
       "      <th>sell</th>\n",
       "      <th>收盤價(元)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>日期</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>2015-01-05</th>\n",
       "      <td>Y9999</td>\n",
       "      <td>468808</td>\n",
       "      <td>396466</td>\n",
       "      <td>24246</td>\n",
       "      <td>57407</td>\n",
       "      <td>4852267</td>\n",
       "      <td>120887</td>\n",
       "      <td>10.420934</td>\n",
       "      <td>9.592825</td>\n",
       "      <td>9274.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-06</th>\n",
       "      <td>Y9999</td>\n",
       "      <td>481077</td>\n",
       "      <td>411912</td>\n",
       "      <td>49293</td>\n",
       "      <td>42807</td>\n",
       "      <td>6230285</td>\n",
       "      <td>120922</td>\n",
       "      <td>8.681265</td>\n",
       "      <td>7.442985</td>\n",
       "      <td>9048.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-07</th>\n",
       "      <td>Y9999</td>\n",
       "      <td>425479</td>\n",
       "      <td>383694</td>\n",
       "      <td>32611</td>\n",
       "      <td>51242</td>\n",
       "      <td>5479103</td>\n",
       "      <td>143972</td>\n",
       "      <td>8.586293</td>\n",
       "      <td>8.152302</td>\n",
       "      <td>9080.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-08</th>\n",
       "      <td>Y9999</td>\n",
       "      <td>514776</td>\n",
       "      <td>518650</td>\n",
       "      <td>30775</td>\n",
       "      <td>57063</td>\n",
       "      <td>6379855</td>\n",
       "      <td>133446</td>\n",
       "      <td>8.733834</td>\n",
       "      <td>9.216704</td>\n",
       "      <td>9238.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-09</th>\n",
       "      <td>Y9999</td>\n",
       "      <td>482267</td>\n",
       "      <td>458495</td>\n",
       "      <td>29567</td>\n",
       "      <td>38157</td>\n",
       "      <td>5433889</td>\n",
       "      <td>112825</td>\n",
       "      <td>9.619016</td>\n",
       "      <td>9.333697</td>\n",
       "      <td>9215.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-10-06</th>\n",
       "      <td>Y9999</td>\n",
       "      <td>161329</td>\n",
       "      <td>140354</td>\n",
       "      <td>23876</td>\n",
       "      <td>36373</td>\n",
       "      <td>4677393</td>\n",
       "      <td>938292</td>\n",
       "      <td>4.953196</td>\n",
       "      <td>4.726457</td>\n",
       "      <td>13892.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-10-07</th>\n",
       "      <td>Y9999</td>\n",
       "      <td>184629</td>\n",
       "      <td>144493</td>\n",
       "      <td>27344</td>\n",
       "      <td>41788</td>\n",
       "      <td>4357709</td>\n",
       "      <td>817261</td>\n",
       "      <td>5.987180</td>\n",
       "      <td>5.261509</td>\n",
       "      <td>13702.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-10-11</th>\n",
       "      <td>Y9999</td>\n",
       "      <td>238091</td>\n",
       "      <td>234339</td>\n",
       "      <td>70597</td>\n",
       "      <td>66310</td>\n",
       "      <td>6460863</td>\n",
       "      <td>1067624</td>\n",
       "      <td>5.723611</td>\n",
       "      <td>5.574554</td>\n",
       "      <td>13106.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-10-12</th>\n",
       "      <td>Y9999</td>\n",
       "      <td>185283</td>\n",
       "      <td>177072</td>\n",
       "      <td>42473</td>\n",
       "      <td>43913</td>\n",
       "      <td>5210228</td>\n",
       "      <td>1153917</td>\n",
       "      <td>5.614855</td>\n",
       "      <td>5.447930</td>\n",
       "      <td>13081.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-10-13</th>\n",
       "      <td>Y9999</td>\n",
       "      <td>265353</td>\n",
       "      <td>364120</td>\n",
       "      <td>48018</td>\n",
       "      <td>59309</td>\n",
       "      <td>6478076</td>\n",
       "      <td>1338300</td>\n",
       "      <td>6.096978</td>\n",
       "      <td>8.238277</td>\n",
       "      <td>12810.73</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1902 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             公司代碼  融資買進(張)  融資賣出(張)  融券買進(張)  融券賣出(張)  成交量(千股)  現股當沖量(千股)  \\\n",
       "日期                                                                          \n",
       "2015-01-05  Y9999   468808   396466    24246    57407  4852267     120887   \n",
       "2015-01-06  Y9999   481077   411912    49293    42807  6230285     120922   \n",
       "2015-01-07  Y9999   425479   383694    32611    51242  5479103     143972   \n",
       "2015-01-08  Y9999   514776   518650    30775    57063  6379855     133446   \n",
       "2015-01-09  Y9999   482267   458495    29567    38157  5433889     112825   \n",
       "...           ...      ...      ...      ...      ...      ...        ...   \n",
       "2022-10-06  Y9999   161329   140354    23876    36373  4677393     938292   \n",
       "2022-10-07  Y9999   184629   144493    27344    41788  4357709     817261   \n",
       "2022-10-11  Y9999   238091   234339    70597    66310  6460863    1067624   \n",
       "2022-10-12  Y9999   185283   177072    42473    43913  5210228    1153917   \n",
       "2022-10-13  Y9999   265353   364120    48018    59309  6478076    1338300   \n",
       "\n",
       "                  buy      sell    收盤價(元)  \n",
       "日期                                         \n",
       "2015-01-05  10.420934  9.592825   9274.11  \n",
       "2015-01-06   8.681265  7.442985   9048.34  \n",
       "2015-01-07   8.586293  8.152302   9080.09  \n",
       "2015-01-08   8.733834  9.216704   9238.03  \n",
       "2015-01-09   9.619016  9.333697   9215.58  \n",
       "...               ...       ...       ...  \n",
       "2022-10-06   4.953196  4.726457  13892.05  \n",
       "2022-10-07   5.987180  5.261509  13702.28  \n",
       "2022-10-11   5.723611  5.574554  13106.03  \n",
       "2022-10-12   5.614855  5.447930  13081.24  \n",
       "2022-10-13   6.096978  8.238277  12810.73  \n",
       "\n",
       "[1902 rows x 10 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "d39d596c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1440x1152 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax1= plt.subplots(figsize =(20,16))\n",
    "plt.plot(result.index , result['buy'],lw=1.5, label = '散戶買進指標')       \n",
    "plt.plot(result.index , result['sell'],lw=1.5, label = '散戶賣出指標')  \n",
    "plt.xlabel('日期',fontsize=15)\n",
    "plt.ylabel('點數', fontsize=15)\n",
    "plt.xticks(fontsize=15)\n",
    "plt.yticks(fontsize=15)\n",
    "plt.title('散戶買賣與大盤指數',  fontsize=20)\n",
    "plt.legend(loc=1, fontsize=15) \n",
    "\n",
    "ax2 = ax1.twinx() #跟第一張ax1的x軸一樣\n",
    "plt.plot(result.index, result['收盤價(元)'] , lw=1.5, color='r', label='大盤')\n",
    "plt.ylabel('指標', fontsize=15)\n",
    "plt.yticks(fontsize=15)\n",
    "plt.legend(loc=2, fontsize=15)\n",
    "\n",
    "plt.gcf().autofmt_xdate() #讓x軸的時間軸比較寬鬆、漂亮\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "7f438d0f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "/*!\n",
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       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
       " * @license  MIT\n",
       " */\n",
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t[0]=s*(h*v-p*g)-f*(l*v-c*g)+m*(l*p-c*h),t[1]=-(n*(h*v-p*g)-f*(i*v-a*g)+m*(i*p-a*h)),t[2]=n*(l*v-c*g)-s*(i*v-a*g)+m*(i*c-a*l),t[3]=-(n*(l*p-c*h)-s*(i*p-a*h)+f*(i*c-a*l)),t[4]=-(o*(h*v-p*g)-u*(l*v-c*g)+d*(l*p-c*h)),t[5]=r*(h*v-p*g)-u*(i*v-a*g)+d*(i*p-a*h),t[6]=-(r*(l*v-c*g)-o*(i*v-a*g)+d*(i*c-a*l)),t[7]=r*(l*p-c*h)-o*(i*p-a*h)+u*(i*c-a*l),t[8]=o*(f*v-p*m)-u*(s*v-c*m)+d*(s*p-c*f),t[9]=-(r*(f*v-p*m)-u*(n*v-a*m)+d*(n*p-a*f)),t[10]=r*(s*v-c*m)-o*(n*v-a*m)+d*(n*c-a*s),t[11]=-(r*(s*p-c*f)-o*(n*p-a*f)+u*(n*c-a*s)),t[12]=-(o*(f*g-h*m)-u*(s*g-l*m)+d*(s*h-l*f)),t[13]=r*(f*g-h*m)-u*(n*g-i*m)+d*(n*h-i*f),t[14]=-(r*(s*g-l*m)-o*(n*g-i*m)+d*(n*l-i*s)),t[15]=r*(s*h-l*f)-o*(n*h-i*f)+u*(n*l-i*s),t}},{}],196:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return 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t[0]=1-(p+m),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+m),t[6]=d+g,t[7]=0,t[8]=h+v,t[9]=d-g,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],203:[function(t,e,r){e.exports=function(t,e){return t[0]=e[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=e[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=e[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],204:[function(t,e,r){e.exports=function(t,e){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=e[0],t[13]=e[1],t[14]=e[2],t[15]=1,t}},{}],205:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=n,t[6]=r,t[7]=0,t[8]=0,t[9]=-r,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],206:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return 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n(t);f=m-_,h=g-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=h*s-p*o,c=p*a-f*s,u=f*o-h*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*m+o*g+s*v),t[13]=-(l*m+c*g+u*v),t[14]=-(f*m+h*g+p*v),t[15]=1,t}},{\"./identity\":209}],213:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],m=e[12],g=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*m,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*m,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*m,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*m,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],214:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],215:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],216:[function(t,e,r){e.exports=function(t,e,r,n){var i=Math.tan(e.upDegrees*Math.PI/180),a=Math.tan(e.downDegrees*Math.PI/180),o=Math.tan(e.leftDegrees*Math.PI/180),s=Math.tan(e.rightDegrees*Math.PI/180),l=2/(o+s),c=2/(i+a);return t[0]=l,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=c,t[6]=0,t[7]=0,t[8]=-(o-s)*l*.5,t[9]=(i-a)*c*.5,t[10]=n/(r-n),t[11]=-1,t[12]=0,t[13]=0,t[14]=n*r/(r-n),t[15]=0,t}},{}],217:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],m=e[8],g=e[9],v=e[10],y=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+m*_,t[1]=l*x+h*b+g*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+m*k,t[5]=l*w+h*T+g*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*A+f*M+m*S,t[9]=l*A+h*M+g*S,t[10]=c*A+p*M+v*S,t[11]=u*A+d*M+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],218:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],219:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],220:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],221:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],222:[function(t,e,r){e.exports=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"}},{}],223:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,m=r[0],g=r[1],v=r[2];e===t?(t[12]=e[0]*m+e[4]*g+e[8]*v+e[12],t[13]=e[1]*m+e[5]*g+e[9]*v+e[13],t[14]=e[2]*m+e[6]*g+e[10]*v+e[14],t[15]=e[3]*m+e[7]*g+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*m+s*g+f*v+e[12],t[13]=i*m+l*g+h*v+e[13],t[14]=a*m+c*g+p*v+e[14],t[15]=o*m+u*g+d*v+e[15]);return t}},{}],224:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],225:[function(t,e,r){\"use strict\";var n=t(\"css-font\"),i=t(\"pick-by-alias\"),a=t(\"regl\"),o=t(\"gl-util/context\"),s=t(\"es6-weak-map\"),l=t(\"color-normalize\"),c=t(\"font-atlas\"),u=t(\"typedarray-pool\"),f=t(\"parse-rect\"),h=t(\"is-plain-obj\"),p=t(\"parse-unit\"),d=t(\"to-px\"),m=t(\"detect-kerning\"),g=t(\"object-assign\"),v=t(\"font-measure\"),y=t(\"flatten-vertex-data\"),x=t(\"bit-twiddle\").nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var T=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(h(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop(\"count\"),offset:t.prop(\"offset\"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this(\"sizeBuffer\")},width:{offset:0,stride:8,buffer:t.this(\"sizeBuffer\")},char:t.this(\"charBuffer\"),position:t.this(\"position\")},uniforms:{atlasSize:function(t,e){return[e.atlas.width,e.atlas.height]},atlasDim:function(t,e){return[e.atlas.cols,e.atlas.rows]},atlas:function(t,e){return e.atlas.texture},charStep:function(t,e){return e.atlas.step},em:function(t,e){return e.atlas.em},color:t.prop(\"color\"),opacity:t.prop(\"opacity\"),viewport:t.this(\"viewportArray\"),scale:t.this(\"scale\"),align:t.prop(\"align\"),baseline:t.prop(\"baseline\"),translate:t.this(\"translate\"),positionOffset:t.prop(\"positionOffset\")},primitive:\"points\",viewport:t.this(\"viewport\"),vert:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tattribute float width, charOffset, char;\\n\\t\\t\\tattribute vec2 position;\\n\\t\\t\\tuniform float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ vec2(positionOffset.x, -positionOffset.y)))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=f(t.viewport),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var i=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&i==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[i],e.font[r]))){var c=t.family.join(\", \"),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:i,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:v(c,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:u.join(\" \")})},T.fonts[i]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),h=0;h<s.length;h++)s[h]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);g(t.kerning,m(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),A=0,M=0;A<this.counts.length;A++){var S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var L=0;L<S;L++)k[M++]=t.position[A][0],k[M++]=t.position[A][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),u.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var C=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var I=0,O=0;I<this.counts.length;I++){for(var z=this.counts[I],D=this.font[I]||this.font[0],R=this.fontAtlas[I]||this.fontAtlas[0],F=0;F<z;F++){var B=this.text.charAt(O),N=this.text.charAt(O-1);if(C[O]=R.ids[B],P[2*O]=D.width[B],F){var j=P[2*O-2],U=P[2*O],V=P[2*O-1]+.5*j+.5*U;if(this.kerning){var H=D.kerning[N+B];H&&(V+=.001*H)}P[2*O+1]=V}else P[2*O+1]=.5*P[2*O];O++}this.textWidth.push(P.length?.5*P[2*O-2]+P[2*O-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:P,type:\"float\",usage:\"stream\"}),u.freeUint8(C),u.freeFloat(P),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],i=n.step,a=Math.floor(T.maxAtlasSize/i),o=Math.min(a,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*i),u=x(s*i);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[i,i]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,i+=\"number\"==typeof t?t-n.baseline:-n[t],i*=-1}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var q;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;q=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)q.set(l(Y(W,W+4),\"uint8\"),W)}else{var X=t.color.length;q=u.mallocUint8(4*X);for(var Z=0;Z<X;Z++)q.set(l(t.color[Z]||0,\"uint8\"),4*Z)}this.color=q}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var 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this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new 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r=e.parse(t[1],1,Bt);if(!r)return null;var n=[],i=null;e.expectedType&&\"value\"!==e.expectedType.kind&&(i=e.expectedType);for(var a=1;a<t.length;a+=2){var o=1===a?-1/0:t[a],s=t[a+1],l=a,c=a+1;if(\"number\"!=typeof o)return e.error('Input/output pairs for \"step\" expressions must be defined using literal numeric values (not computed expressions) for the input values.',l);if(n.length&&n[n.length-1][0]>=o)return e.error('Input/output pairs for \"step\" expressions must be arranged with input values in strictly ascending order.',l);var u=e.parse(s,c,i);if(!u)return null;i=i||u.type,n.push([o,u])}return new He(i,r,n)},He.prototype.evaluate=function(t){var e=this.labels,r=this.outputs;if(1===e.length)return r[0].evaluate(t);var n=this.input.evaluate(t);if(n<=e[0])return r[0].evaluate(t);var i=e.length;return n>=e[i-1]?r[i-1].evaluate(t):r[Ve(e,n)].evaluate(t)},He.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},He.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},He.prototype.serialize=function(){for(var t=[\"step\",this.input.serialize()],e=0;e<this.labels.length;e++)e>0&&t.push(this.labels[e]),t.push(this.outputs[e].serialize());return t};var Ge=Object.freeze({__proto__:null,number:qe,color:function(t,e,r){return new te(qe(t.r,e.r,r),qe(t.g,e.g,r),qe(t.b,e.b,r),qe(t.a,e.a,r))},array:function(t,e,r){return t.map((function(t,n){return qe(t,e[n],r)}))}}),Ye=6/29,We=3*Ye*Ye,Xe=Math.PI/180,Ze=180/Math.PI;function Je(t){return t>.008856451679035631?Math.pow(t,1/3):t/We+4/29}function Ke(t){return t>Ye?t*t*t:We*(t-4/29)}function Qe(t){return 255*(t<=.0031308?12.92*t:1.055*Math.pow(t,1/2.4)-.055)}function $e(t){return(t/=255)<=.04045?t/12.92:Math.pow((t+.055)/1.055,2.4)}function tr(t){var e=$e(t.r),r=$e(t.g),n=$e(t.b),i=Je((.4124564*e+.3575761*r+.1804375*n)/.95047),a=Je((.2126729*e+.7151522*r+.072175*n)/1);return{l:116*a-16,a:500*(i-a),b:200*(a-Je((.0193339*e+.119192*r+.9503041*n)/1.08883)),alpha:t.a}}function er(t){var e=(t.l+16)/116,r=isNaN(t.a)?e:e+t.a/500,n=isNaN(t.b)?e:e-t.b/200;return e=1*Ke(e),r=.95047*Ke(r),n=1.08883*Ke(n),new te(Qe(3.2404542*r-1.5371385*e-.4985314*n),Qe(-.969266*r+1.8760108*e+.041556*n),Qe(.0556434*r-.2040259*e+1.0572252*n),t.alpha)}function rr(t,e,r){var n=e-t;return t+r*(n>180||n<-180?n-360*Math.round(n/360):n)}var nr={forward:tr,reverse:er,interpolate:function(t,e,r){return{l:qe(t.l,e.l,r),a:qe(t.a,e.a,r),b:qe(t.b,e.b,r),alpha:qe(t.alpha,e.alpha,r)}}},ir={forward:function(t){var e=tr(t),r=e.l,n=e.a,i=e.b,a=Math.atan2(i,n)*Ze;return{h:a<0?a+360:a,c:Math.sqrt(n*n+i*i),l:r,alpha:t.a}},reverse:function(t){var e=t.h*Xe,r=t.c;return er({l:t.l,a:Math.cos(e)*r,b:Math.sin(e)*r,alpha:t.alpha})},interpolate:function(t,e,r){return{h:rr(t.h,e.h,r),c:qe(t.c,e.c,r),l:qe(t.l,e.l,r),alpha:qe(t.alpha,e.alpha,r)}}},ar=Object.freeze({__proto__:null,lab:nr,hcl:ir}),or=function(t,e,r,n,i){this.type=t,this.operator=e,this.interpolation=r,this.input=n,this.labels=[],this.outputs=[];for(var a=0,o=i;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1];this.labels.push(l),this.outputs.push(c)}};function sr(t,e,r,n){var i=n-r,a=t-r;return 0===i?0:1===e?a/i:(Math.pow(e,a)-1)/(Math.pow(e,i)-1)}or.interpolationFactor=function(t,e,n,i){var a=0;if(\"exponential\"===t.name)a=sr(e,t.base,n,i);else if(\"linear\"===t.name)a=sr(e,1,n,i);else if(\"cubic-bezier\"===t.name){var o=t.controlPoints;a=new r(o[0],o[1],o[2],o[3]).solve(sr(e,1,n,i))}return a},or.parse=function(t,e){var r=t[0],n=t[1],i=t[2],a=t.slice(3);if(!Array.isArray(n)||0===n.length)return e.error(\"Expected an interpolation type expression.\",1);if(\"linear\"===n[0])n={name:\"linear\"};else if(\"exponential\"===n[0]){var o=n[1];if(\"number\"!=typeof o)return e.error(\"Exponential interpolation requires a numeric base.\",1,1);n={name:\"exponential\",base:o}}else{if(\"cubic-bezier\"!==n[0])return e.error(\"Unknown interpolation type \"+String(n[0]),1,0);var s=n.slice(1);if(4!==s.length||s.some((function(t){return\"number\"!=typeof t||t<0||t>1})))return e.error(\"Cubic bezier interpolation requires four numeric arguments with values between 0 and 1.\",1);n={name:\"cubic-bezier\",controlPoints:s}}if(t.length-1<4)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if((t.length-1)%2!=0)return e.error(\"Expected an even number of arguments.\");if(!(i=e.parse(i,2,Bt)))return null;var l=[],c=null;\"interpolate-hcl\"===r||\"interpolate-lab\"===r?c=Ut:e.expectedType&&\"value\"!==e.expectedType.kind&&(c=e.expectedType);for(var u=0;u<a.length;u+=2){var f=a[u],h=a[u+1],p=u+3,d=u+4;if(\"number\"!=typeof f)return e.error('Input/output pairs for 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a=Ve(e,n),o=e[a],s=e[a+1],l=or.interpolationFactor(this.interpolation,n,o,s),c=r[a].evaluate(t),u=r[a+1].evaluate(t);return\"interpolate\"===this.operator?Ge[this.type.kind.toLowerCase()](c,u,l):\"interpolate-hcl\"===this.operator?ir.reverse(ir.interpolate(ir.forward(c),ir.forward(u),l)):nr.reverse(nr.interpolate(nr.forward(c),nr.forward(u),l))},or.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},or.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},or.prototype.serialize=function(){var t;t=\"linear\"===this.interpolation.name?[\"linear\"]:\"exponential\"===this.interpolation.name?1===this.interpolation.base?[\"linear\"]:[\"exponential\",this.interpolation.base]:[\"cubic-bezier\"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var lr=function(t,e){this.type=t,this.args=e};lr.parse=function(t,e){if(t.length<2)return e.error(\"Expectected at least one argument.\");var r=null,n=e.expectedType;n&&\"value\"!==n.kind&&(r=n);for(var i=[],a=0,o=t.slice(1);a<o.length;a+=1){var s=o[a],l=e.parse(s,1+i.length,r,void 0,{typeAnnotation:\"omit\"});if(!l)return null;r=r||l.type,i.push(l)}var c=n&&i.some((function(t){return Jt(n,t.type)}));return new lr(c?Ht:r,i)},lr.prototype.evaluate=function(t){for(var e,r=null,n=0,i=0,a=this.args;i<a.length;i+=1){if(n++,(r=a[i].evaluate(t))&&r instanceof ie&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null!==r)break}return r},lr.prototype.eachChild=function(t){this.args.forEach(t)},lr.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},lr.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var cr=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};cr.prototype.evaluate=function(t){return this.result.evaluate(t)},cr.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1){t(r[e][1])}t(this.result)},cr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found \"+(t.length-1)+\" instead.\");for(var r=[],n=1;n<t.length-1;n+=2){var i=t[n];if(\"string\"!=typeof i)return e.error(\"Expected string, but found \"+typeof i+\" instead.\",n);if(/[^a-zA-Z0-9_]/.test(i))return e.error(\"Variable names must contain only alphanumeric characters or '_'.\",n);var a=e.parse(t[n+1],n+1);if(!a)return null;r.push([i,a])}var o=e.parse(t[t.length-1],t.length-1,e.expectedType,r);return o?new cr(r,o):null},cr.prototype.outputDefined=function(){return this.result.outputDefined()},cr.prototype.serialize=function(){for(var t=[\"let\"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t.push(i,a.serialize())}return t.push(this.result.serialize()),t};var ur=function(t,e,r){this.type=t,this.index=e,this.input=r};ur.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Bt),n=e.parse(t[2],2,Wt(e.expectedType||Ht));if(!r||!n)return null;var i=n.type;return new ur(i.itemType,r,n)},ur.prototype.evaluate=function(t){var e=this.index.evaluate(t),r=this.input.evaluate(t);if(e<0)throw new ue(\"Array index out of bounds: \"+e+\" < 0.\");if(e>=r.length)throw new ue(\"Array index out of bounds: \"+e+\" > \"+(r.length-1)+\".\");if(e!==Math.floor(e))throw new ue(\"Array index must be an integer, but found \"+e+\" instead.\");return r[e]},ur.prototype.eachChild=function(t){t(this.index),t(this.input)},ur.prototype.outputDefined=function(){return!1},ur.prototype.serialize=function(){return[\"at\",this.index.serialize(),this.input.serialize()]};var fr=function(t,e){this.type=jt,this.needle=t,this.haystack=e};fr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Ht),n=e.parse(t[2],2,Ht);return r&&n?Kt(r.type,[jt,Nt,Bt,Ft,Ht])?new fr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(r.type)+\" instead\"):null},fr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!Qt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ue(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Xt(se(r))+\" instead.\");return r.indexOf(e)>=0},fr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},fr.prototype.outputDefined=function(){return!0},fr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var hr=function(t,e,r){this.type=Bt,this.needle=t,this.haystack=e,this.fromIndex=r};hr.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Ht),n=e.parse(t[2],2,Ht);if(!r||!n)return null;if(!Kt(r.type,[jt,Nt,Bt,Ft,Ht]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Bt);return i?new hr(r,n,i):null}return new hr(r,n)},hr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!Qt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ue(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Xt(se(r))+\" instead.\");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},hr.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},hr.prototype.outputDefined=function(){return!1},hr.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return[\"index-of\",this.needle.serialize(),this.haystack.serialize(),t]}return[\"index-of\",this.needle.serialize(),this.haystack.serialize()]};var pr=function(t,e,r,n,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a};pr.parse=function(t,e){if(t.length<5)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=1)return e.error(\"Expected an even number of 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m?\"value\"!==d.type.kind&&e.concat(1).checkSubtype(r,d.type)?null:new pr(r,n,d,i,a,m):null},pr.prototype.evaluate=function(t){var e=this.input.evaluate(t);return(se(e)===this.inputType&&this.outputs[this.cases[e]]||this.otherwise).evaluate(t)},pr.prototype.eachChild=function(t){t(this.input),this.outputs.forEach(t),t(this.otherwise)},pr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))&&this.otherwise.outputDefined()},pr.prototype.serialize=function(){for(var t=this,e=[\"match\",this.input.serialize()],r=[],n={},i=0,a=Object.keys(this.cases).sort();i<a.length;i+=1){var o=a[i];void 0===(f=n[this.cases[o]])?(n[this.cases[o]]=r.length,r.push([this.cases[o],[o]])):r[f][1].push(o)}for(var s=function(e){return\"number\"===t.inputType.kind?Number(e):e},l=0,c=r;l<c.length;l+=1){var u=c[l],f=u[0],h=u[1];1===h.length?e.push(s(h[0])):e.push(h.map(s)),e.push(this.outputs[outputIndex$1].serialize())}return e.push(this.otherwise.serialize()),e};var dr=function(t,e,r){this.type=t,this.branches=e,this.otherwise=r};dr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=0)return e.error(\"Expected an odd number of arguments.\");var r;e.expectedType&&\"value\"!==e.expectedType.kind&&(r=e.expectedType);for(var n=[],i=1;i<t.length-1;i+=2){var a=e.parse(t[i],i,jt);if(!a)return null;var o=e.parse(t[i+1],i+1,r);if(!o)return null;n.push([a,o]),r=r||o.type}var s=e.parse(t[t.length-1],t.length-1,r);return s?new dr(r,n,s):null},dr.prototype.evaluate=function(t){for(var e=0,r=this.branches;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];if(i.evaluate(t))return a.evaluate(t)}return this.otherwise.evaluate(t)},dr.prototype.eachChild=function(t){for(var e=0,r=this.branches;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t(i),t(a)}t(this.otherwise)},dr.prototype.outputDefined=function(){return this.branches.every((function(t){t[0];return t[1].outputDefined()}))&&this.otherwise.outputDefined()},dr.prototype.serialize=function(){var t=[\"case\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var mr=function(t,e,r,n){this.type=t,this.input=e,this.beginIndex=r,this.endIndex=n};function gr(t,e){return\"==\"===t||\"!=\"===t?\"boolean\"===e.kind||\"string\"===e.kind||\"number\"===e.kind||\"null\"===e.kind||\"value\"===e.kind:\"string\"===e.kind||\"number\"===e.kind||\"value\"===e.kind}function vr(t,e,r,n){return 0===n.compare(e,r)}function yr(t,e,r){var n=\"==\"!==t&&\"!=\"!==t;return function(){function i(t,e,r){this.type=jt,this.lhs=t,this.rhs=e,this.collator=r,this.hasUntypedArgument=\"value\"===t.type.kind||\"value\"===e.type.kind}return i.parse=function(t,e){if(3!==t.length&&4!==t.length)return e.error(\"Expected two or three arguments.\");var r=t[0],a=e.parse(t[1],1,Ht);if(!a)return null;if(!gr(r,a.type))return e.concat(1).error('\"'+r+\"\\\" comparisons are not supported for type 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