PFRD_Factor.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "a2f5a7c9",
   "metadata": {},
   "source": [
    "# 2021-03-01 国盛证券-多因子系列之十五：分析师盈利修正后的股价漂移（PFRD） "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "0d445c0a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import dcube as dc\n",
    "import pandas as pd\n",
    "import datetime\n",
    "from datetime import timedelta\n",
    "from tqdm import tqdm\n",
    "import numpy as np\n",
    "from fastcache import lru_cache\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.linear_model import LinearRegression\n",
    "import statsmodels.api as sm\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "df_preclose=pd.read_csv(r'C:\\Users\\nibh\\Desktop\\FZ\\daily_factor\\EODP__S_DQ_ADJPRECLOSE.csv',index_col=0)\n",
    "df_preclose.index = pd.to_datetime(df_preclose.index).date\n",
    "df_csi=pd.read_csv(r'C:\\Users\\nibh\\Desktop\\FZ\\daily_factor\\指数收盘价.csv',index_col=0)\n",
    "df_csi=df_csi.drop('HS300',axis=1)\n",
    "df_csi.index = pd.to_datetime(df_csi.index).date\n",
    "\n",
    "token = ''\n",
    "pro = dc.pro_api(token)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "155bd8e0",
   "metadata": {},
   "source": [
    "## 一、数据获取"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "73754d62",
   "metadata": {},
   "outputs": [],
   "source": [
    "# （一）盈利预测数据的获取\n",
    "df1 = pro.query('ashare_earning_est',start_date='20170101', end_date='20181231', fields='s_info_windcode,est_dt,research_inst_name,est_dt,est_net_profit,reporting_period')\n",
    "df2 = pro.query('ashare_earning_est',start_date='20190101', end_date='20201231', fields='s_info_windcode,est_dt,research_inst_name,est_dt,est_net_profit,reporting_period')\n",
    "df3 = pro.query('ashare_earning_est',start_date='20210101', end_date='20211231', fields='s_info_windcode,est_dt,research_inst_name,est_dt,est_net_profit,reporting_period')\n",
    "df4 = pro.query('ashare_earning_est',start_date='20220101', end_date='20221231', fields='s_info_windcode,est_dt,research_inst_name,est_dt,est_net_profit,reporting_period')\n",
    "\n",
    "df=pd.concat([df1,df2,df3,df4]).sort_values(by=['s_info_windcode','research_inst_name','reporting_period','est_dt'])\n",
    "df=df.sort_values(by=['s_info_windcode','research_inst_name','reporting_period','est_dt'])\n",
    "df['reporting_period'] = pd.to_datetime(df['reporting_period']).dt.date\n",
    "\n",
    "df5 = df.dropna()\n",
    "df5 = df5[df5['est_net_profit'] != 0]\n",
    "df5 = df5[df5['reporting_period'].apply(lambda x:x.year) == df5['est_dt'].apply(lambda x:x.year)] #针对当年预测\n",
    "\n",
    "# 按照's_info_windcode'和'research_inst_name'进行分组，删除单期报告仅一个预测值的样本\n",
    "grouped1 = df5.groupby(['s_info_windcode', 'research_inst_name','reporting_period']).filter(lambda x:len(x)>1)\n",
    "grouped1.reset_index(drop=True,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 277,
   "id": "f2129a17",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
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       "52026  000001.SZ  2017-01-08  2.347689e+10\n",
       "52027  000001.SZ  2017-01-09  2.347689e+10\n",
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       "52029  000001.SZ  2017-01-11  2.347689e+10\n",
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       "53917  000001.SZ  2017-01-18  2.347689e+10\n",
       "53918  000001.SZ  2017-01-19  2.347689e+10\n",
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       "53993  000001.SZ  2017-01-28  2.347689e+10\n",
       "54024  000001.SZ  2017-01-29  2.347689e+10\n",
       "54025  000001.SZ  2017-01-30  2.347689e+10\n",
       "...          ...         ...           ...\n",
       "55933  873593.BJ  2023-07-03  1.305333e+08\n",
       "55491  873593.BJ  2023-07-04  1.305333e+08\n",
       "89333  873593.BJ  2023-07-05  1.291888e+08\n",
       "81360  873593.BJ  2023-07-06  1.291888e+08\n",
       "83981  873593.BJ  2023-07-07  1.291888e+08\n",
       "63696  873593.BJ  2023-07-08  1.291888e+08\n",
       "59464  873593.BJ  2023-07-09  1.291888e+08\n",
       "70801  873593.BJ  2023-07-10  1.291888e+08\n",
       "72909  873593.BJ  2023-07-11  1.291888e+08\n",
       "66512  873593.BJ  2023-07-12  1.291888e+08\n",
       "66672  873593.BJ  2023-07-13  1.291888e+08\n",
       "51765  873593.BJ  2023-07-14  1.291888e+08\n",
       "33917  873593.BJ  2023-07-15  1.291888e+08\n",
       "33957  873593.BJ  2023-07-16  1.291888e+08\n",
       "13844  873593.BJ  2023-07-17  1.291888e+08\n",
       "14022  873593.BJ  2023-07-18  1.291888e+08\n",
       "44885  873593.BJ  2023-07-19  1.291888e+08\n",
       "44764  873593.BJ  2023-07-20  1.291888e+08\n",
       "38506  873593.BJ  2023-07-21  1.291888e+08\n",
       "21029  873593.BJ  2023-07-22  1.291888e+08\n",
       "22212  873593.BJ  2023-07-23  1.291888e+08\n",
       "27313  873593.BJ  2023-07-24  1.291888e+08\n",
       "29882  873593.BJ  2023-07-25  1.291888e+08\n",
       "29179  873593.BJ  2023-07-26  1.291888e+08\n",
       "8789   873593.BJ  2023-07-27  1.291888e+08\n",
       "8538   873593.BJ  2023-07-28  1.291888e+08\n",
       "10350  873593.BJ  2023-07-29  1.291888e+08\n",
       "3618   873593.BJ  2023-07-30  1.291888e+08\n",
       "1209   873593.BJ  2023-07-31  1.291888e+08\n",
       "476    873593.BJ  2023-08-01  1.291888e+08\n",
       "\n",
       "[5302934 rows x 3 columns]"
      ]
     },
     "execution_count": 277,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# （二）一致预测数据的获取\n",
    "start_date = datetime.date(2017,1,1)\n",
    "end_date = datetime.date(2023,8,31)\n",
    "date_list = []\n",
    "\n",
    "# 数据量太大，为避免达到提取上限，按月提取\n",
    "while start_date <= end_date:\n",
    "    year = start_date.year\n",
    "    month = start_date.month\n",
    "    last_day_of_month = start_date.replace(day=28)+timedelta(days=4)\n",
    "    end_of_month = last_day_of_month-timedelta(days=last_day_of_month.day)\n",
    "    date_list.append((start_date.strftime('%Y%m%d'),end_of_month.strftime('%Y%m%d')))\n",
    "    start_date = end_of_month+timedelta(days=1)\n",
    "\n",
    "cons_list=[]\n",
    "for start_date,end_date in tqdm(date_list):\n",
    "    df_cons = pro.query('a_share_consensusrollingdata',start_date=start_date,end_date=end_date,rolling_type='FY1',fields='code,trade_date,net_profit')\n",
    "    cons_list.append(df_cons)\n",
    "\n",
    "df_consensus = pd.concat(cons_list).sort_values(by=['code','trade_date'])\n",
    "df_consensus"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "815a0d0d",
   "metadata": {},
   "source": [
    "## 二、计算各变量"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "id": "8e77df75",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 获取所有的交易日期\n",
    "@lru_cache(1)\n",
    "def get_all_trade_days(start_date='20110101'):\n",
    "    df = pro.trade_cal(exchange='', start_date=pd.to_datetime(start_date).strftime('%Y%m%d'),is_open='1')\n",
    "    trade_days = df['cal_date'].tolist()\n",
    "    all_days = pd.to_datetime(trade_days)\n",
    "    all_days = [date.date() for date in all_days]\n",
    "    return all_days\n",
    "\n",
    "# 获取指定日期的前后交易日\n",
    "@lru_cache(1)\n",
    "def get_near_trade_day(date):\n",
    "    trade_days = get_all_trade_days()\n",
    "    date = pd.to_datetime(date).date()\n",
    "    \n",
    "    # 获取t+0交易日\n",
    "    while date not in trade_days:\n",
    "        date = (date + timedelta(days=1))\n",
    "    index = trade_days.index(date)\n",
    "    \n",
    "    date_minus1 = trade_days[index-1]        # 获取t-1交易日  \n",
    "    date_t1 = trade_days[index+1]            # 获取t+1交易日 \n",
    "    date_t120 =trade_days[index+120]         # 获取t+120交易日   \n",
    "    return date,date_minus1,date_t1,date_t120\n",
    "\n",
    "# 1.分组计算：同一机构对同一报告期内同一股票的两次盈利预测修正的时间差\n",
    "grouped2 = grouped1.copy()\n",
    "grouped2['est_dt'] = pd.to_datetime(grouped2['est_dt']).dt.date\n",
    "grouped2['time_diff'] = grouped2.groupby(['s_info_windcode','research_inst_name','reporting_period'])['est_dt'].diff(periods=1).dt.days\n",
    "grouped2['est_date_interval'] = pd.cut(grouped2['time_diff'], bins=[-np.inf, 30, 90, np.inf], labels=[1, 2, 3])\n",
    "\n",
    "# 2.分组计算：盈利预测修正大小\n",
    "grouped2['rev_growth'] = grouped2.groupby(['s_info_windcode','research_inst_name','reporting_period'])['est_net_profit'].pct_change()\n",
    "\n",
    "# 3.rev_ret和CAR的计算\n",
    "grouped3 = grouped2.copy()\n",
    "for i,(stock,date) in tqdm(enumerate(zip(grouped3['s_info_windcode'],grouped3['est_dt'])),total=len(grouped3)):\n",
    "    if stock in df_preclose.columns:\n",
    "        t0,t_1,t1,t120 = get_near_trade_day(date)\n",
    "        rev_ret_pcl = (df_preclose.loc[t0,stock] - df_preclose.loc[t_1,stock]) / df_preclose.loc[t_1,stock]\n",
    "        rev_ret_base = (df_csi.loc[t0] - df_csi.loc[t_1]) / df_csi.loc[t_1]\n",
    "        grouped3.loc[i,'rev_ret'] = float(rev_ret_pcl - rev_ret_base)\n",
    "        if t120 <= np.minimum(df_preclose.index.max(),df_csi.index.max()):\n",
    "            ret_stock = (df_preclose.loc[t120,stock] - df_preclose.loc[t1,stock]) / df_preclose.loc[t1,stock]\n",
    "            ret_base = (df_csi.loc[t120] - df_csi.loc[t1]) / df_csi.loc[t1]\n",
    "            grouped3.loc[i,'CAR'] = float(ret_stock - ret_base)\n",
    "\n",
    "# 匹配grouped4和df_consensus\n",
    "df_consensus['trade_date'] = pd.to_datetime(df_consensus['trade_date']).dt.date\n",
    "grouped4 = pd.merge(grouped3,df_consensus,left_on=['s_info_windcode','est_dt'],right_on=['code','trade_date'],how='left')\n",
    "grouped4.drop(columns=['code', 'trade_date'], inplace=True)\n",
    "\n",
    "# 4.rev_to_cons, cons_rev, innovation, innovation1的计算\n",
    "grouped5 = grouped4.copy()\n",
    "grouped5['rev_to_cons'] = (grouped5['est_net_profit'] - grouped5['net_profit'].shift(1)) / grouped5['net_profit'].shift(1)\n",
    "grouped5['cons_rev'] = grouped5.groupby(['s_info_windcode','research_inst_name','reporting_period'])['net_profit'].pct_change()\n",
    "grouped5['innovation1'] = np.where(((np.sign(grouped5['rev_growth'])==1) & (np.sign(grouped5['cons_rev'])==1)),1,\n",
    "                                   np.where(((np.sign(grouped5['rev_growth'])== -1) & (np.sign(grouped5['cons_rev'])== -1)),-1,0))\n",
    "grouped5['pre_est_net_profit'] = grouped5['est_net_profit'].shift(1)\n",
    "grouped5['pre_net_profit'] = grouped5['net_profit'].shift(1)\n",
    "series_bool_min = (grouped5['est_net_profit']>=np.minimum(grouped5['pre_net_profit'],grouped5['pre_est_net_profit']))\n",
    "series_bool_max = (grouped5['est_net_profit']<=np.maximum(grouped5['pre_net_profit'],grouped5['pre_est_net_profit']))\n",
    "grouped5['bool_min']=series_bool_min\n",
    "grouped5['bool_max']=series_bool_max\n",
    "grouped5['innovation'] = np.where(series_bool_min & series_bool_max,0,np.where(series_bool_min,1,-1))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "26683ad1",
   "metadata": {},
   "source": [
    "### 数据处理"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "2e871d3d",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(212138, 19)\n",
      "(207545, 19)\n",
      "盈利修正为0的样本量：92128\n"
     ]
    },
    {
     "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": [
    "# 1.删除两次预测超过180天的样本，以及盈利预测修正为0的样本\n",
    "grouped6 = grouped5.dropna()\n",
    "print(grouped6.shape)\n",
    "grouped6 = grouped6[grouped6['time_diff']<=180]\n",
    "print(grouped6.shape)\n",
    "print('盈利修正为0的样本量：' + str(sum(grouped6['rev_growth'] == 0)))\n",
    "plt.hist(grouped6['rev_growth'])\n",
    "grouped6 = grouped6[grouped6['rev_growth']!=0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "91173828",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([  585.,   459.,  1330.,  5820., 49111., 50344.,  4897.,  1313.,\n",
       "          573.,   985.]),\n",
       " array([-1.12387500e+00, -8.99304571e-01, -6.74734137e-01, -4.50163703e-01,\n",
       "        -2.25593270e-01, -1.02283587e-03,  2.23547598e-01,  4.48118032e-01,\n",
       "         6.72688465e-01,  8.97258899e-01,  1.12182933e+00]),\n",
       " <BarContainer object of 10 artists>)"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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": [
    "# 2.缩尾\n",
    "iqr = grouped6['rev_growth'].quantile(0.95) - grouped6['rev_growth'].quantile(0.05)\n",
    "low_bench = grouped6['rev_growth'].quantile(0.05) - 1.5*iqr\n",
    "high_bench = grouped6['rev_growth'].quantile(0.95) + 1.5*iqr\n",
    "grouped6['rev_growth'] = np.clip(grouped6['rev_growth'],low_bench,high_bench)\n",
    "grouped7 = grouped6[['s_info_windcode','est_dt','CAR','rev_growth','rev_ret','rev_to_cons','innovation','innovation1','cons_rev','est_date_interval']]\n",
    "plt.hist(grouped7['rev_growth'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3fd35b7d",
   "metadata": {},
   "source": [
    "## 三、构建因子"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "id": "9a3ad315",
   "metadata": {},
   "outputs": [],
   "source": [
    "# （一）划分数据集\n",
    "# 划分数据集为样本内和样本外\n",
    "def split_dataset(df,current_date,list_X,Y,list_ID):\n",
    "    sample_in_start=datetime.date(current_date.year-2,current_date.month,current_date.day)\n",
    "    sample_in_end=current_date-datetime.timedelta(days=1)\n",
    "    sample_out_start=current_date\n",
    "    sample_out_end=datetime.date(current_date.year+1,current_date.month,current_date.day)\n",
    "    \n",
    "    sample_in_data=df[(df['est_dt']>=sample_in_start) & (df['est_dt']<=sample_in_end)]\n",
    "    sample_in_data=sample_in_data.reset_index(drop=True,inplace=True)\n",
    "    sample_in_X=sample_in_data[list_X]\n",
    "    sample_in_Y=sample_in_data[Y]\n",
    "    sample_out_data=df[(df['est_dt']>=sample_out_start) & (df['est_dt']<sample_out_end)]\n",
    "    sample_out_data=sample_out_data.reset_index(drop=True,inplace=True)\n",
    "    sample_out_X=sample_out_data[list_X]\n",
    "    sample_out_Y=sample_out_data[Y]\n",
    "    ID_out=sample_out_data[list_ID]\n",
    "    \n",
    "    return sample_in_X,sample_in_Y,sample_out_X,sample_out_Y,ID_out\n",
    "\n",
    "# 根据滚动窗口划分数据集\n",
    "def generate_rolling_datasets(df,start_date,end_date,list_X,Y,list_ID):\n",
    "    X_in_all=[]\n",
    "    Y_in_all=[]\n",
    "    X_out_all=[]\n",
    "    Y_out_all=[]\n",
    "    ID_out_all=[]\n",
    "    while start_date<=end_date:\n",
    "        sample_in_X,sample_in_Y,sample_out_X,sample_out_Y,ID_out=split_dataset(df,start_date,list_X,Y,list_ID)\n",
    "        X_in_all.append(sample_in_X)\n",
    "        Y_in_all.append(sample_in_Y)\n",
    "        X_out_all.append(sample_out_X)\n",
    "        Y_out_all.append(sample_out_Y)\n",
    "        ID_out_all.append(ID_out)\n",
    "        start_date=datetime.date(start_date.year+1,start_date.month,start_date.day)\n",
    "    return X_in_all,Y_in_all,X_out_all,Y_out_all,ID_out_all\n",
    "\n",
    "# 生成滚动划分的数据集\n",
    "grouped7['est_dt'] = pd.to_datetime(grouped7['est_dt']).dt.date\n",
    "X_in_all,Y_in_all,X_out_all,Y_out_all,ID_out_all=generate_rolling_datasets(grouped7,datetime.date(2019,1,1),datetime.date(2022,1,1),\n",
    "                list_X=['rev_growth','rev_ret','rev_to_cons','innovation','innovation1','cons_rev','est_date_interval'],Y='CAR',\n",
    "                list_ID=['s_info_windcode','est_dt'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "id": "416640eb",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|████████████████████████████████████████████████████████████████████████████████████| 4/4 [00:00<00:00,  5.43it/s]\n"
     ]
    }
   ],
   "source": [
    "# （二）回归预测\n",
    "def predict(X_in_all,Y_in_all,X_out_all,Y_out_all,ID_out_all):\n",
    "    ID_out_list=[]\n",
    "    for X_in,Y_in,X_out,Y_out,ID_out in tqdm(zip(X_in_all,Y_in_all,X_out_all,Y_out_all,ID_out_all),total=len(X_in_all)):\n",
    "        model = LinearRegression()\n",
    "        model.fit(X_in,Y_in)\n",
    "        yhat = model.predict(X_out)\n",
    "                \n",
    "        ID_out['y'] = Y_out\n",
    "        ID_out['yhat'] = yhat\n",
    "        ID_out_list.append(ID_out)\n",
    "\n",
    "        '''\n",
    "        X_in_with_constant = sm.add_constant(X_in)\n",
    "        model_ols = sm.OLS(Y_in,X_in_with_constant).fit()\n",
    "        print(model_ols.summary())\n",
    "        \n",
    "                # Plot the graph\n",
    "        plt.scatter(Y_out, yhat)\n",
    "        plt.xlabel('Y_out')\n",
    "        plt.ylabel('yhat')\n",
    "        plt.title('Actual vs. Predicted')\n",
    "        plt.show()\n",
    "        '''\n",
    "    return ID_out_list\n",
    "\n",
    "ID_out_list=predict(X_in_all,Y_in_all,X_out_all,Y_out_all,ID_out_all)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "id": "7e698ff6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# （三）构建因子\n",
    "trade_day = df_preclose.index[(df_preclose.index>=datetime.date(2019,1,1)) & (df_preclose.index<=datetime.date(2022,12,31))]\n",
    "factor = pd.concat(ID_out_list,axis=0)\n",
    "factor = factor.groupby(['est_dt','s_info_windcode'])['yhat'].mean().unstack()\n",
    "factor = factor.reindex(index=trade_day)\n",
    "factor_fill=factor.dropna(axis=1,how='all') \n",
    "factor_filled=factor_fill.ffill(axis=0,limit=150)\n",
    "factor_filled.to_csv(r'C:\\Users\\nibh\\Desktop\\FZ\\daily_factor\\factor_fill_1.csv',encoding='utf_8_sig')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3ed21a63",
   "metadata": {},
   "source": [
    "## 四、单因子回测"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "id": "64f3a898",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "factor_name: factor_fill_1\n",
      "start_date,end_date 2019-01-18 2022-12-31\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|████████████████████████████████████████████████████████████████████████████████| 960/960 [00:18<00:00, 53.30it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sharpe ratio of long_ret_cumprod is:  0.919\n",
      "Sharpe ratio of long2bench is:  0.490\n",
      "Max drawdown of long_ret_cumprod is: -30.21%\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "        vertical-align: middle;\n",
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       "\n",
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>turnover</th>\n",
       "      <th>gross</th>\n",
       "      <th>net</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>group_01</th>\n",
       "      <td>0.041121</td>\n",
       "      <td>0.000020</td>\n",
       "      <td>-0.000038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>group_02</th>\n",
       "      <td>0.143899</td>\n",
       "      <td>-0.000045</td>\n",
       "      <td>-0.000247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>group_03</th>\n",
       "      <td>0.301569</td>\n",
       "      <td>-0.000011</td>\n",
       "      <td>-0.000434</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>group_04</th>\n",
       "      <td>0.359440</td>\n",
       "      <td>-0.000136</td>\n",
       "      <td>-0.000639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>group_05</th>\n",
       "      <td>0.299175</td>\n",
       "      <td>-0.000119</td>\n",
       "      <td>-0.000538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>group_06</th>\n",
       "      <td>0.236268</td>\n",
       "      <td>-0.000019</td>\n",
       "      <td>-0.000349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>group_07</th>\n",
       "      <td>0.308440</td>\n",
       "      <td>-0.000148</td>\n",
       "      <td>-0.000580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>group_08</th>\n",
       "      <td>0.286387</td>\n",
       "      <td>-0.000058</td>\n",
       "      <td>-0.000459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>group_09</th>\n",
       "      <td>0.138814</td>\n",
       "      <td>0.000150</td>\n",
       "      <td>-0.000044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>group_10</th>\n",
       "      <td>0.043197</td>\n",
       "      <td>0.000367</td>\n",
       "      <td>0.000306</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          turnover     gross       net\n",
       "group_01  0.041121  0.000020 -0.000038\n",
       "group_02  0.143899 -0.000045 -0.000247\n",
       "group_03  0.301569 -0.000011 -0.000434\n",
       "group_04  0.359440 -0.000136 -0.000639\n",
       "group_05  0.299175 -0.000119 -0.000538\n",
       "group_06  0.236268 -0.000019 -0.000349\n",
       "group_07  0.308440 -0.000148 -0.000580\n",
       "group_08  0.286387 -0.000058 -0.000459\n",
       "group_09  0.138814  0.000150 -0.000044\n",
       "group_10  0.043197  0.000367  0.000306"
      ]
     },
     "execution_count": 149,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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VTtyc7BkR5oXRpDmYYx4pTS+qQmtJnnUqyYipEEIIIYSNPfXzfr7YnGYZBQ2yHt+SWkRslG+nrnn0c3PCaNI88eNenrqg/dOAH/l+D19vScfZwY7S6nrr8bu/2MFvf51GoGfre6Ne9b+NJOaWs+2xOXywNoWNKYXMG9HnpO9tWKgXh587t0PXfHvHFAoraqmsrcfLxYEZAwIY3MeTMRE+3DwtmjfikyisqMXXTfY9PV2sPpjPO2tSAHj4nEEsmN6PmMBD/N9Sc5Kxgopa0ouqjvvAQ3QeGTEVQgghhOhEB7LL+HRjarvKVtcZee63BN5bm0JlrZGHvt1NlSXJUXWdkZT8CoaFtD7VtaNcHc1TWz/ekEqd0dSua8pr6vl2WzqD+3gwIszbevyVK0dTWWvkni93tDqaVFJVZ12j9/aqZN5encz4KF+eOr9j62M7k6+bI2E+rng4O/DhjeN58OxBAEzo6wfAwZwym7VNdL3dGSXW7+dYkmyFeJs/bJna3x+A9ckFXd+w00ibgalSyksp9ZtSaolS6jul1HEfHTVXRillr5RKU0rFW76GN1e/EEIIIURvctEba3nkuz1tJhiqqTdy4RvreHNlEpfHhvPKlaPJKa2xrv/MKqkGINSnfVvBtNcUy5tsgISssnZN6V1zKJ/qOhMPnzOYT26eYD0+d2gwt8f1Y21iAS8vO8TdX2xv9vqVB49O931zZRL1Rs0Ll46wrpntTgYEuQNwqJOT3Ty/OIH31qRQXWdk2f4cDuaUYezgdGrR+d5fm8K055fz9qpkABZM72udXj5/ZAi3x/Xj9avG4OvmyAYJTE+p9kzlvRp4SWu9RCm1EJgL/NiOMunA51rrBzq1xUIIIYQQ3VRNvdG6rcu6pHzOH9V8wh6ALzYdYX9WKa9eOZr5I0M4ZBmhy7UEtJnF5oQ87d2jtL3CfV1Z9+AsJj+3nJ93Z3LZW+sZ3MeDT2+eiItlNPVYO9OLcTAoRlnWZv561zQSsktxtLezBnJvrkyitt7EcxeP4I34JN5elcS1EyP5dlsGzg4GvF0duNSybculseFE+p1Y0qRTLdjTGQ8ne2t/dIa8shreWpXMoGAPluzLsY68Rfq58vNfpuLh7NBpzyXar7bexGvLE/Fxc2TeiD6cPTy4yVR6ZwcDD8w1j6RP7OvLxuTusf9vb9XmiKnW+g2t9RLLwwAgt51lJgIXKqXWKKU+VUrJelYhhBBC9Go/7Mi0fr8ppfk3sTml1fyyK4tvtqUzIsyLeSP6AFjXaOaWmkdKk/MrAAjr5BFTgBBvF4I9nfly8xGq6oxsSyvmvq93tjh6uiu9mIHBHjjZmwPXISGeXDQmzFoXQHWdCZM2T2V+ZdkhqutM/G91Cs4OBupNJi4aHcZFY8IYGe7NXWf07/R76ixKKQaHePLZxjR+3Z3VKXX+sCMDo0mzN7OU9ckF3B7XjyfPH0pqQSWfb0rrlOfo7Q7llFFRd3IjzP/8aS+z/hNvfbwxpYCCiloenDuIFy4d2SQoPdbEvn5kFFexO72El5YcpKKm/rgyKw/m8fTP+2Qk/AS1O1hUSk0CfLTWG9pTRillBGZorbOUUq8D53DMSKtSagGwACAoKIj4+PgTuAVxKpWXl0u/9ALSjz2b9F/vIP3Ys7Wn/0xa89KaKiI87HC2h40H0omPP37q3+Nrq0grM6/tvCTGgZUrVwLmTLWOdrBl7yFqc1N4frM5QD2wYyNJzezfebLCXevYnG0e3T0z0p5fdmVRXZzHNYMdmyQkKqo2sTm5imlh9s3+DEprmr4Jv+X9dU0ezw4xMjPCAcgl50Au9wyFA9s3cqDT76ht7X0dBlBLvUlzx6fb+GDuiY/s5leZ+CKhlsTio2t5FTDWMQv7GkVfLzu+WHuQAaYjJ/wcpwOtNTf8XomzQeNqv+KEEmatTK/j/T21ACxfsQI7pfg5yfy4JmMf8bn7W73eUG7uw/mvrQEgPe0w5/U7OhV9WVodn+yrRQNBdVlEeNrhZOj8121v1q7AVCnlC7wKXNyBMru01g2LKxKAmGOv0Vq/DbwNEBsbq+Pi4trdcNE14uPjkX7p+aQfezbpv95B+rFnO7b/MoqreHnpQe6dM5Al+3MI8nDCpDXZFdt49cpRbD5cyHfbMpgxY4b1TfQVb69nzpBg0sr2Weu564KpRPgdzfLZZ8sKMusd2LTPPI13Wow/s2cdXdPZmRINyWz+ZT8GO8XCW8/kud/287/VKYwe1Jc/zzz6tu1fv+7HRAqPXz612em3WmvuW70YT2d7+gW4U2s0cUawp3Uk8NbzplpHVW2tva/DCt8sfknZBsCUadNxaGGrmrb85fPtbMkxj6LPGBDAyoN5jIrwZvasKQBsqTnAwpVJxE6aat2PVRwvs7gKfl9OtVGR79EfO6XwdXdk5sDA48pqrXnxjwMEejhz3eQoAFYfyuP9xZusZYaNnUSgpzNfZWwj3LeYc+fMbFc7HIKPcP/XuwDYX+7CS3HTAPPsiI8Xr2f6gADWJubzzMZqovxcWf63Gdidgg+Veqs2XwGWZEdfAg9prZtNMddCmY+VUs8Ae4ALgX91TpOFEEIIIWzr841pfLklnS2Hi0grrKTeMnUv0s+Vs4cFU1JVR1lNPZkl1YR6u1BYUcuG5EI2WNaoxQ0M4NzhfZoEpQBBHs5sOlxIqLcLK+6La3OPz5MxNtIHgEAPJwx2iofOHkxBeS0v/nEQP3cnrhwfgdaaX3ZlMWNAQItrQpVSDA3xZGiIJ09fcDTXZX55DaPCvbtNUNoRc4cFMyHal40phRRW1BLUxlY4zdmTUcJPO49O7X76gmH886d9PHru0X1TJ/T15bUViexIK2ZqjH9z1Zy2EnPLyCurZVI/P5LyzImoFPDo93uoqTePXm58+Izj+ubdNSm8viIJN0cDl8aGcSC7jNs+3oqDQVFnNL9Os0urCfR0Zm9mCUP7tD/r9WWx4YR5u/DTrkw+33SEzOIqQrxd2GVJWPbfy0fx/OIEvth8hMMFlezNLGV4WOdm1e7N2vPxz03AWOARS3bdJ5RST7dR5nLgSeBjYAewXmu9tBPbLYQQQghhMysO5BLh60pWSTX1Jk2IlzMGO8XfzxqIvcGOvpaAMq2gEoDkvKMZXgcFe/D+9eO4NDb8uHqHhXoRE+jOl7dNOqVBKcDQEC8c7e3o42V+Y29np/j3JSOIGxjAI9/t5tfdWTz83R4yiqs4b1RIq3UtWjCJf8wf2uTY//4Uy50zu+9a0tYY7BQ3TIkGaDO78oHsMv7y+XbOeXk1O44UW4//e3ECPq4OvH7VGJ67aDjhvq68c10sUY36tX+gOXFUamFF599ED3fOy2u48n8bKKuuY5Ulq/M/Jzvj7Xo0UdSqRtmewZxw7NnfEhjSx5OKWiNvr0rm+vc34+fuxJoHZvHTn6cC5ozXpdV1HC6oZGiIZ4faNbm/v/X/RsPzp+RX4O3qgK+bI89dPIItj85GKViecFxqni6ntW51K6fupM0RU631QmDhCZYZcYLtEkIIIYTolqrrjOzLKuUvs2KYHuPPhuQCrpscRWl1vTWDbqCnEwC5ZeZ1okmNAtPLx4W3uEbusXmD0Xpwl0z/c7S348JRoU22o3Ew2PHG1WO4+p2N3PGpeSrrnTP7cd7I1gNTR/sTm+ranQV4mNcP5pXXUFRRi7erQ5N+25tZwqvLElm8NxsXBwNVdUZeWXaI964fx7trUlh9KJ9Hzx3MuZbkVs0J9HDGwaA4Ulh1yu+nJymprKPWssfuf5ce4t01KUT4uhLuAe9eN4Y/9uXw1sok9mWVWq+pqjXy9692EennyqJbJ3L+a2t5edkhtIZvbp9MkKczDd2XU1rN/kzztcNCOz6iGRPoTh8vZ+IP5HHF+AhS8iuafJDk7+5EbKQPP+/K5K4z+p/QmtjOsDG5gNs+2coV4yOs2YW7s973W0QIIYQQ4hRKzqtAa/N+l7FRvvx5Vgwezg5NtnUJ8GjIsFtDYUUtD3yzG4AzBgVas9k2RynVpWvS/n3JCO46o2kaEFdHe967bhwzBgTwz/OG8vezBtnsjbUt+bubP1x4eekhRj+1xDr6tfNIMTd/uJlzX1nD2qR87prVn3UPzmLeiD4k5ZXz3fZ0nvp5H+cMD7aOrLXEYKcI8XYhvajylN9PT7I+Od/6/XtrUwB4+YpRKKUYFurFvXMGMCTEk/2WwLS6zsiH6w+TUVzFE/OH4uHswGXjwtHanNW6YWTa380JFwcD32zLsO6t29ERUzC/TuMGmteTFlfWkpBddtwMh/NGhnAot5yE7M7bdqijvt+RQVFlHe+uTuHLzUeorDVnEt6YXMCRwu73f04CUyGEEEKIDmgY/ewX4N5iGU9ne5zs7cgtqyYh2/zm+eoJEbx7/Ti8XLr/npU+bo58eON4a/KY01FDYNowPXdfZinP/LKP819fy5bUIu6dM4A1D8zi3jMH4uPmSL8Ad1ILKrn3y51M7OvL/10+CkM7PmQI93HlSJGMmDa2+XARjvZ2PHX+ULQGJ3s7hh8zsjm4jycJ2WVorfnHj3t57rcEACb19QPgojGhGOyUdS01mKerv3jpSPZnlfJGfBLDQ72s2zR11IwBgZTV1HPjB5spqarjyvERTc6fM7wPBjvFj43WGXe19KIqfN0cifZ34/5vdjHnpVWUVtdx7bubmPfqGjYkH5813JYkMBVCCCGE6ICkvHKUotU1oEopAj2dyC2roaDcvCXF6Rzk9URuTvbcOCWaf188HH93RxbvzeZ/q1O4PDacNQ/M4q4zYpp8yNDPMiqnNfxpUpR1z9e2hHq7kCGBaRNbUosYGebFxWPD8HCyZ1CwB/bHZEbuF+BOcWUdhRW1rDhwdC1nw7TyQA9n3r0ulr/NGdjkunNH9OHzWyYwuI8nD5194tNbp/T3w95OsS2tmKn9/RkX5dvkvJ+7E1P6+/PTzkybrfHMLK5iQrQvi++exrMXDSejuIr/W3KQWqOJ6joj1767ke+3Z9ikbc2RwFQIIYQQogPWHMpnYJAHzg6tBx6BHs7kltZQUG5OnuPn5thqedH9PD5/CJePiyDU24W9ljWJfztrQLNbu4xslH21I9NDgzydKKiood5oarvwaaCq1sjejBJio3xxdbTn5StH8dA5g48r1y/A/MFQYm45lbXm/Xj/c+nIJmXiBgYel/kaYGykL7/9dRqT+594JmQPZwdrJuXZg4/ftgbM03nTi6rY3igpVlfRWpNZXE2ItwtKKc4aGgzA+2sPA/DaVWMYE+HD3Yt2EPXgL03WwR9bz5bDhbyzOplXlh3iP38cILuk+pS0WQJTIYQQQoh2evi73WxJLWozSy2Yt47Zm1lCamEldgq8XSUw7akatrwJ8HAi0KP5qZ+Nt9MJ9zk+GGpJgKczWkNBRe3JNbIHW7wnmxd/PwDAzvRi6k2aWMsU3FmDgphomZ7bWMNU+gUfb6Wsup5XrhzNxWNbXr99Krx5zVjevnYsl4+LaPb8WUODcLS348cdnTOdd29mCee8vPq4bMTNKaqso6rOaP2/63vMB2Mjwrx49qKj2zst3pMNmNfrNnb3oh1c8uZ6nv5lPy8tOciryxO57K31bD5ceLK3cxwJTIUQQgghmqG1ZvWhPGrqzW/UtqYW8tnGNMZG+nBlC29EG7vekqn3i01H8HVzbNd6Q9E9RfiaA83BfVofCY2/L47Pb5nYoQRWAZa1rA3b0mxNLSSj+PSZ2ltdZ+S2T7by2opEiipq2ZZWBNBkbWhzQrxd8Hd3wtPFnv+7fCTzW8l+fKo4Oxg4c2hwi1mpPZwdmDUwkJ93ZWEynfx03teWJ7Ivq5QbP9jMV1uONDmXV1bTZMrwtlTzz7Eh8RPA6vtnWr8P9HCib4A7l1iC+Q3JBXy8IZVBjy1mhSXRV355DT/tzOTy2HC2PDqbQ8+czSc3TaCkqo4/f7aNipr6k76nxtrcLkYIIYQQ4nT0RnwSL/x+gH9dOJwQ4P+WHMLf3ZGPbxqPq2Pbb6FGhHkzc2AAKw7kWQMb0TPdNC2a4so65g4PbrVclL9bk31K26Px1kIp+fZcvHA9sZE+fH375BNub0/SePRvfXIBibnl9PFybnOGgcFOseK+GTg7GHAwdN+xtqkx/izem01WaXWTzN0dlVZQye97s7luUiRJeRU88M0upsb408fLhYM5ZZzz8mr+deFwLhtn3h/5q61H8HNzZHK/o6PN4b6uLPvbDFLyKqyZtl+8dCR1RhM/7Mhk9SFzNuRPNqSyaPMR9mSWYNLwp8mR1mRgU2P8eee6WC59cz1fb03nT5MiiT+Yx+R+fu1eV90SCUyFEEIIIRpZvCebF/84QGKuec3VN9vSScqupLimgkfPHdyuoLTBXWfEsOJAHn7uMo23Jwv0cObfl4w4RXVbAtPSGjalmEe5yo8ZiTqQXUZVnZEP1qZwMKecb++Y3OYa555i9aF8HO3tcLa34434RACi/NoX3Hs4d/8M1zGWEcvXlidiNJm4NDYcB4MdI0K9OjSy/vW2dJRS3B7Xn/Kaema/tJJJzy5n2d9m8NryROpNmh92ZnDZuHA2Hy7k97053DWr/3FBe78A9+Myij8xfygXjg7F29WRf/2yn2WWEdO5Q4O5blIUQ46ZKTAuypcRYV48vziB73dksD2tmMfnDeHGqa1vj9QWCUyFEEIIISzqjSZu+2QrAAODPOgf5M4vu7Ks56+eENmh+kZH+PCnSZGtZvAVp7cAS2CanF/B4fwKAEyNpmSWVddx1n9XAWCnwKRhbWI+ZwwOwmTSfLnlCGcP79MjtiFqYDRpMourCPR0Ytn+HKb29+eKceEs+Nj82rtqQttT5XuKhqm0n29KA+DLLekA/PfyUWg0548MbVeAeji/ghBvZ4K9zGucgzydyCmt4fUVify8KxMPJ3s2JBdSXWfk8R/2EuLlzO1x/dvVRl83R+IGmhM4nTUsmE2W9aNvXju2xWteumwUC+OTrBmRd2eUtOu5WtN9x72FEEIIIbpQw3Q2MK8PXXTrxCbZNtc9OAsXx46PUj15/jBumHJyIwmi93KyNzB3aDAfrDtszd6aa1lvCrBkXw4AMwYEsPxvcbg72bN0v/nYH/tyePDb3Tzxwx5SCyq6vO0noqbeyPxX1zDt+RUMf+IPMkuquSw2nDOHBnPNRHNA2rcXfZDj5+5k/dDg8thwnjp/KACvrUjknkU7raOTbckqqaKP19GpwEvunUGUnyvfbsvA0d6Om6f1xWjSLIxPYn9WKY/OG3JCv6+uGh+Bh7M9d87s12q5/oHu/OeykWx9dDZnDgmyrg1uTVl1XavnJTAVQgghxGmvtt7EDe9v5m9f7QTgvrMG4u3qyOR+R7eTCDmJ9WFCtObJ84fibG9nTYBUXFlnzY76085MQr1deP/6cUT5uzFjQABL9+diMmnrKNz3OzKZ8UI8ezph1OpUKq2u48N1h9mXVcptM/px1YQIrpoQwZwhQQA8eu4QbpvRj7OHd30io1NpkiWr8NgoH66dFEWot4t1qcAfe7PbVUdmcTUhXkczQns6O1hHOW+YEs3AYPPI7Dfb0unr78bZw1pfD90SF0cD2x+bw31nDmy7MOY9m0dFeJNaUElJVcuB556MEob/449W65KpvEIIIYQ4rZlMmvu+2smaxHzrsYZ9KoM8nblqQgTe1Tm2ap44DQR6OvPovCHc//UuxkR4sy2tmLyyGjydHVh9KJ+bpkZbp3vOGRLEL7uz+HxzGisP5tHX343s0moqa43syyplWKhXG8/WtZ76eR+ZxVUUlNeyJbUQk4YoP1cePHvQcWWdHQzNHu/pnr1oOCHeLtZgMdrfzZp5een+HOqNJuxbSeBkNGlySqvpc8yHYw+ePYhrJkbQL8CdLZYsvOlFVcwaFGhNbnQiWmtLcxqyVSdklTKhma19AHa0Yy9XGTEVQgghRK+ltbZuobA9rciaXKWxH3Zm8OPOTO6fO5ALR4fyz/OGNjn/rwuHM76PfJYvTq1Lx4bxwQ3juGVaX8A8nXdvVgn1Js3UmKMj92cODSLU24VHvtuDvZ3i8wUT2fXEmTgYFCn53Ws6r9GkeXdNCr/tyaa0uo6YQA8AYoI8bNyyruXj5sjj84dYkzVF+R/N0l1UWWcNKluSV1ZDvUk3GTEFcyDfP9ADpRR+jfYpDfFufq/dU6UhOdL+rNImx3elF5NbVg3AoZwyHAytB8sSmAohhBCi11ifVEDcCyvYl2l+g/TgN7uZ/sIKtNZc+MY6nl98gIM5ZU2u+XGHeark7TP68X+Xj+K6yVE2aLk43SmliBsYSJAl+CitriOtoBJomqXW1dGeZy8aDsBZQ4MJ8nTG3mBHhK8ryXnlXd/wVmRaRgWfuXAYi++ezuWWrUzcTmDtY29yWaz55zB9QACO9nZc8faG4/YlbeybbeaESaPCW97b1c+ynQvQZC1qVwj0cCLQw4kVB45u/VNWXcclC9cz75U17M0s4VBuOUNDWh/Nl8BUCCGEEL3G6ysSOVxQyZ2fbaOoopZFW45wpLCKixeus5ZpWJcHUFxZy+pD+cwb0eekpr4J0Vk8nc2j86VVdaQWVmJvp+hzzEjZ9AEBvPOnWB6bN8R6rF+AO0v35zL3v6v46xfb+WFHRpe2uznJlhHchpHSISGeTf49XY0I8+bnv0zlpctGEu5jDiL//vWuZst+sDaF//xxgNmDAxke1nJg1/D/Bjip/VJPhFKK66dEsfJgHv9dehCTSbMhuZBao4nKWiPnvrKGdUkFjIloObAGWWMqhBBCiF6itLqOtUn5zBgQwOpDeYx5eon13OGCSh45ZzB7Mkv4fFMaf5kVg6+bI3/szaHepDl3RO9KtiJ6robpnmXV9aQVVBLu69rsmr/ZloRBDe6fO5B+ge4cyC5j9aF8ftuTzXkjQ2z6gUuSJcFPw3ZJE/v68c3tkxkV7m2zNnUXDWuBHzp7MDd/tAUwLz1o6C+jSfPUz/v4YN1h5gwJ4uUrRrVan1IKg53CaNI2CfxvmhpNYk45/116iN3pJUT4ueLsYMevd03j378n4OPqwN/PGsgTrdQhgakQQggheoUdacVoDbdM68uEvr48v/gAQZ5OLFowCX8PJ9yd7NmQXMAPOzLZnVHC9Bh/Pt2URrS/G8O7WcIYcfrybBSYHswpI8rPtY0rzPoHevDAXHPioHdWJ/P0L/sprarHy9U2+5uWVNXx5ZYjRPm54u9+dP3j2MjWR81ON7OHBPHP84byxI97yS2rIcjTmfKaeu76fDvLE3K5eWo0D50zGEM79jr98tZJ2NspBthgDa+TvYH/XDaScF9XXl52iDAfF6L93Ynwc+X1q8a0q442A1OllBfwhaVsOXC51rq2mXLvAoOBX7XWT7d0TAghhBCis+WWVfOn9zYBMDLci6kx/vQPcCfK342oRnsiNozcpBZU8ENFLTuPFPPk+UNlGq/oNpwd7LC3UyRkl3Iot5xLY8M6XEeAh3m9YWJeGWMjfTu7iW36bGMa/16cQElVHW9eM0ZeX22ICTRv9ZKYW45Ja278YAsHc8p4+oJhXDMxst312DroV0px4ehQXl52iPSiKuYM6djIbXvWmF4NvKS1ngNkA3ObacRFgEFrPRkIUUrFNHesQy0TQgghhGinxXvMewFeFhtmnQp55tDg40YOAj2ccHaw45ddWdz/zS4mRPtyxbiILm+vEC1RSuHhbM+SfeYtimYNCuxwHYEe5jWpFy9cz7qkfLamFrIvs5TnfktgaxsZYDtCa83FC9fx8frD1mMF5TU88v1uBgZ58MtdU5k7TKbJt6V/kDkw/W57Bue/tpYjhZW8d/24DgWl3UWknyu+lgzBYT4dW+uqGlKot6uwUl8DL2qtNxxz/BVgsdb6V6XUJYAHMPrYY1rr94+5bgGwACAoKGjsF1980aHGi1OvvLwcd3d3WzdDnCTpx55N+q93ONX9WGfS1NSDu+PpNTJRVa/ZmFXP4sN1aA3/nt72tMdH1lSSUa4JclU8NtGlXT8zeR32Dj2lH+9fVUlupSbARfH8dJcOjzhmlpt4eI05I26ImyKz4uj7fRd7+M8MV1wdTv53RU6FiQdWVzE5xJ4FI8yjtBuz6lm4s4bHJjrTz7tzs+/2lP7rKK01ty6tpNYIfs6Ke8Y6E+bRc3PUvrS1ml15Ri6JcWBeP8cm52bOnLlVax3b3HXtXmOqlJoE+BwblFq4AQ2pv0qB/i0ca0Jr/TbwNkBsbKyOi4trb3NEF4mPj0f6peeTfuzZpP96h47046qDeZRV13coIc8j3+3m801pnD28D7dM63vaJBf582fb+HlvFqHeLjx8zmDi2vEzG5WxjbJDeXx2+xT6BbTvTa68DnuHntKPgbtXk1tZyjmjIpg5c1iHry+pquPhNX8ANAlKPZ3tKa+pZ3WZH89eNOKk27locxqwGwd3H+LixgPw46IdeDjncN38mc0mbToZPaX/TkTt778A8OKVscwc2PFR8u6kLjCHWz7awuwJw4nrwIh5uwJTpZQv8CpwcQtFyoGGsVp3zFOEmzsmhBBCiFZsTyuyrpWsqR/JRWPaXl9WXWfkhx2Z9A1wZ9XBPH7ZlcW4KB9untaX2YOD2pU0oyfSWrM2MZ+LRofyn8tGtntU6ekLhlFVZySki7dUEKK9PJzM09FnnsA0Xmi6dcisQYEsT8gF4LNbJvLTzkzeWpXMpbHhbW7f0ZaNKYUAFFaY08889O1uvt2ewZXjIzo9KO3tJvb1ZUNyIVP6+du6KSdtzpAg4u+LI7KdibsatCf5kSPwJfCQ1jq1hWJbganABmAkcABIb+aYEEIIIVoRb9mg3N3Jnt/3ZrcrMF19KJ/ymnqemD+E0RE+LNp8hPfWpHDrx1uJjfThs1sm4mjfO94kLk/IIae0Bl83R6L93SiqrGN8tG+Hpjr6uDkieUFFd+bpYo+Lg4GJff1O6HqlFG9fO5aYIA+8XBzYmlrEHMv2MsFezry1KpmdR4pPPjBNPhqYxh/Ite4RfOOUqJOq93T09p9iKams6zW/qxsnnWuv9oyY3gSMBR5RSj0CrAActNaPNirzPbBaKRUCnA1MBHQzx4QQQvRgFTX1fL01neLKOsJ9XdoVNIn2qzeaWLIvh5FhXkT7u7EuqYDM4iqcHQzWZBLNWXEgF3cneyZE++Fob8dNU6O5blIkn28+wmPf7+H1FYncM2dAk2t+3Z1FkKezzbM4VtTU896aFC4eG4a9QVmTtjTn223p3PvlzuOOn+ibdyG6qxunRDN3WDDODie+RvPMocHW7+c02vPU19UReztFXlnNSbXxYE4ZGcVVuDvZk19ewzO/7CfSz5U/7pmOk33nri09HXg6O1i3CjpdtRmYaq0XAgvbKFOqlIoD5gDPa61LAJo7JoQQovv6fnsGk/r5EeTZfHDw2Pd7+HZ7hvXxtJgA67YEonlaa15edoiy7DqmGk3NTm9Lyivnga93Eerjwr6sUl66bCRl1fV8vyOTyc8tx9PZnq2PzWFXegkxQe5N3rws3pPF11vTOXNIUJNP2u0Ndlw7MZLNKYUsjE9i/sgQ+lu2JFibmM+dn21jWkwAH904/tT/EI6htSavvAY/Nyf++sV2lu7P5T9LDgLw81+mWjeeP/aaD9cdZnAfT969LpbPN6Xx6vJE5g4NPqFP5oXoziacwg9b7OwUfu6OJxyYbjlcyOebjrDyYB6ezvZcGhvOu2tSOJRbzlvXjpWgVJywdic/aovWugjzlN9WjwkhhLCtd1YnE+bjclwK/5T8Cu5etIPZgwN557pxx1339dZ0vt2ewZ9n9mf2kCAueH0taxPzuWB0aKe3sc5ooqC8liBPpx6//9032zL479JDACx7aSUPnj3ouJ/999sz2JJaxJbUIm6ZFs1FY8Ioq67DaNIcyC5j0ZYjbE8r5oq31zMm4ujU3B92ZHD3oh2MDvfmqfObT5Dy2LwhxB/I5eHvdvP4vCHMe3WN9VxaQcWpu/FWPPPLft5Zk4KvmyOFFbXMHxlCSn45ezJKWZGQ2yQw1Vrz3OIEPl6fSmWtkXvnDCDE24W/nTmQC0aHEigfjAjRYQEeTuSXdzww/WBtCk/+vA9PFwcm9fXjuslRpBVUAuY1kmc2GpkVoqM6LTAVQgjRfdXUG1l5wJzp9elf9gOw+O5pDAo+uvn1ygPm5BhL9+ey+XAhId4uvLA4gVum92VoiBc/7cykb4CbdUqor5sj32xL5/xRIScdPOaV1bAtrcj8lVrErvQSaupNRPq5cllsOHfOPC6xe5vSiyopqapjaMjxo29d6bfdWUT5uTI/wsiSLAO3fbKNd6+LZdPhQkaHezN3WB9S8s0B4jUTI3jw7MEAeDg7cOPUaLalFbFoyxE+XH8Yk4YtqUU88eMe/nXhcD7dkEb/AHc+vXkiLo7Nj1IEeDjx8DmDefDb3Vzz7kbr8TlDgliRkEt9C6O4p4LJpFl1KI931qQA5nVpC6b35eFzzPc879XVvLoikffXHUZrjcFO4WRvIKO4ylpH42yV7c2oK4RoKsDdibwOBqaH8yt46pf9xA0M5JUrR+PuZA4j3Bzt8XVz5PF5Q3v8B4nCtiQwFUKI08BXW9J59Ps9AAwIcudgTjnXvruJL2+dRLRlGuTGlEJCvJwxas1zvyUwpb8/3+/IZOXBPDY9Mpv9WaVM7e9vzfB6+4x+PPPrfvZklDI87MSDv2vf3cjqQ/kAOBgUQ0O8uHpCJCHezizZl8MLvx9gfLQv46J8211nWkElM15cgdaQ+MzZzQZeJpPm/5YepLLWyN/PGnhSa7lasz+rlNgoX8YGlXDtOeMZ/8wybvpwi/X8jVOi2Z5WzNnDgnn6guHHXd/P3xx8/bIrCz83Ry4bF87C+CTOGhrM4YIKpg8IaDEobXBZbDgrD+bx255sAH7681T2ZZWwZF8O6UVVXTIV9qU/DvD55iPkldXg7+7IJzdPoKLGyJgIb2uZh84ezK+7s1AKFIqd6cXsSi9pklV0aIhnC88ghGgvf3cn9meVtbt8ZW0993+9CweD4rmLh1uDUoDhYV5sfXS2BKXipPWOtE9CCCFaldtoLdFHN07Ay8WBvLIanv11v/V4Ym45Q0K8+OsZA9iaWsQry8zTT4sq6/hkQyq5ZTUM7nM0KJg12DxydSi3/W9ujlVTb2T1oXzOGhrEN7dPYvc/zuL7O6fw+Pwh3DytLx/cMB5fN0ee+GEv29OKqKytb7NOrTXTXzAHpQCbLNsZmEyaralF1nKfbzavUXx3TQpfWDJJHmvxniy+2ZrO7vSW0yRU1NRbt0o4VnFlLZkl1QyxBFOBHs68dtVo6/k5Q4J4b20KGcVVnD28+b3evFwd8Hc3T1edGuPP3bNjcLS3Y8m+HHLLaohqRzp+OzvFeSNDrI+Hh3kR5WcORi95c12b17eXyaQ5UlhJVklVk+Nl1XW8sjyRCF9X/nv5KJb9LY5BwZ6MjfRp8mZ2Sn9/nrlwOE9fMJynLhjGxzdN4PlLRvDmNWNxcTAwe3AQdr106xshulKQpzN55TWUVte1WTa3rJor3t7AltRCXrhkZLMJyiQoFZ1BAlMhhOhh9mSUMPrJP5pMb2xLemElLg4GNj1yBsFezrxwiXlj9fQicx1Gkya1oJJ+AW5cMPpoAPPXM2LoG+DGi7+bd/wa0mi0KszHBTsFhy3ri05Ebqk5YD5jcBBjI32PG7V0cTTwrwuHsy+rlAvfWMfNH27BaNLNVWV1bEKPl5cdwmTSLFyZxMUL17E+qcCaSGdkuDfjo31ZuDKJ6jojAF9tOcLfvtzJ+GeWctsn2/jbVzuZ/9oaSqqafwM3/7U1jHlqSbPnGkYkGgf080Yc/fm+cfUYFl49hrtnxzB/RMubkM8YEACYs8862RsYGebFt9vMSagi/do32nnslObYKF8ifF3JL6+lpt7Yrjqao7Xm2d/2M+W55Qx5YjHTnl/BGf9ZSWqj9auHcssBuG1GPy4YHYqXS/syT3q5OHBZbDiO9nbseGIOb14z5oTbKYQ46syhQRhNmm+3prdazmTSXPH2BhJzy/nfn2KZ3+gDLiE6mwSmQgjRw3y9NZ2iyjq+aeMNRWOphZWMDPeyftJ95tBg7pzZjwM5ZVTW1pNRVEWt0UTfADdcHY9O0Zo5KJCbpkZTUWvE2cGuydYiTvYGQrxdmgQgHZVVUg1AH6+WtwhpvM3BuqQC/vNH69ti780qtX5/zvBgNqYU8uaqJD5cdxgwj6DuzijhYE45l4wN4+7ZMeSU1rBo8xHyy2v4+9e7WHEgF4OdwtHejnOGm7dceGd18nHPlZxXTnKe+f5r603Hnd9nacvgPh5Njr902UjunNkPB4MdZw/vw92zB7Q64vD4/CHcObOfddRzbKQvVZZAOrqd03DDfV0AmG4Jcg12irvOiAEgq7i6XXU05499Oby1Mhl/d0eumRDJk+cPxaQ171nWkQIczDYH6AODPFqqpk1O9oYuWwsrRG83IsybEC9ndrYyGwTMGcOT8yp4bN4QzhgsiY3EqSVrTIUQoofxdDb/6t7fKABrkJhbxh/7cjh3eB/rSJrWmtSCCs4Y1PRNRdzAQF5fkcRnG9OsZRuSyVw/OYoP1h1mRKgXA4M8+M8fBxkT4X3ciGaUnxvLE3LJK6tpdtuY9KJKskqqW1wf2jDls7XA1GCnuGVaNLszSoj2d+ON+CRmDAhosp2C0aTZnVHCPYt2kFtqDrI+u2UCk/r6ce27m3h+8dFg9q1VSXyyMRUPJ3vOGxmCp7M946N8eX1FIg2x4StXjGZKfz/qjBpHezvu/Gwbry5PpM6ouWRsGN9uS+fMocFc8Ppaa70Hc8o4mFPGGYOC8HC2x85OsT+rFH93RwI9nNnX6J46uv+rl4sDfz9rkPXxuCgf3lxp/n5gcPuCPaUUmx45o8lWM2E+5mD1SFFlq+tMjSZtXVt8rPfXphDm48K3d0yxlvlmazrJloROlbX1bEguwMXBYH0+IYTteTg7NFkeobVm3DNLuSw2nPvnmn/fbLEsf5gQ3f41/kKcKAlMhRCih2lYL/r73mx2HClmVLg3AL/uzuK+r3ZSWWskraCS5y4egdaaTzakkl9ee1yConFRvkyL8ee1FYnWPTAbtul4Yv4QHjl3MHZ2ChdHA9/cPrlJsosG102O4paPtvBGfCJPzB963Pm7Pt/OtrTiFvembBgxDfZqPWB55NwhAFTXGfljbw7/W51iDUwX78nmtk+2MiDInfyyGi4ZG8bgPp5M7ucPwLMXDee+r3ZyW1w/3Bzt+W57OkcKq5g3oo91Sunds2O46p2NPP7DXgAGBLujlMLR3hxo3TN7AL/syuLNlUm8uTIJgDfik5q08ar/baC02vwm76Ixodx35kDWJuY3mcbbWRqPXDt0YBTx2LVh4b7m9akNU7qP9fqKRF6wTOP+/e7p1iD4hx0ZvPjHAc4bGcKG5ELuO3NAk8A1ws+NnUeKKauu45xXVnOksIorx0fI+lAhuhFXJwOVtUen8WeWVJNfXssb8UlcPzmK/61O5tONafTxcm73zAwhToYEpkII0cPkltUQ4etKndHE377cwS93TWNjSiF3fLqNMRHeJOaWU1RpTsaz6lA+j1mCrZmDAo+r64G5g5j36hq+3JLO5H5+1hFRpRQOhqNBREtvSuYMCWLGgABWHsiD+cefT7JMc/1sUxr/uvD4jLPZJdV4ONs3G/Q2x9nBwPmjQvl4w2Fq6o18vD7Vuv3NwZxyrhwfzj+P2c8z3NeVRbdOsj4e38wn/5P6+XHNxAg+2WBOghTg3nT0t3+gO89fPIL7v9kFwL1zBqAw98Xtcf2Y9vyKJgHit9syWLovB62xTpftTN6ujtwe16/Ze+mIYE9n7O0URwqPXyestbYGpWD+IGRgsAerDuZx75c78XNz5PUV5uD83BFN151F+rry6+4snvhhL0cKq5gzJIj7zxp4Um0VQnQuN0d7KmqOjpjuOlJs/X7q8yuoN5o4b2QId50RI8mNRJeQwFQIIXqQ3NJqlifkMmtQINdPjuJP723irZXJZBZX4eFsz+cLJnLtO5usiXq+325OkLNgel9CvY8flRwW6sXcocEs3pvNnyZFnVCbZg4M4B8/7SO1oIJIPzee/W0/21KLuCOuv7UdG5ILuOWjLaTkV7DknunWNzmZxVWtTuNtzrBQT+qMmqv/t5EtqUXMGRLEkn05wNEkQR2llOLpC4ZzwahQ8spqmn0Tdtm4cGtgesX48Cajj1/eOokIX1emPLecWqOJkWFe5JXV8N4N45rsFduZHpg7qO1CbTDYKUK8XThiGTF99PvdrEjI4/NbJvL1tqZrmDckF3DXGTF8sTkNf3dHlv0tjv1ZpRwprDzug4sIP1dzYpXtGdw5s1+TachCiO7B1dFAfqO9TPdkmtebOtrbcdHoUG6b0a9LtpISooEEpkII0YM8+1sCAPZ2iukDAhgU7MHujBL2Z5UypZ8/TvYGPF3sySyupqrWyO97s7lyfDgPnzO4xTr/7/JR3FNY2e61iseKGxgIP+0j/kAeF4914sN1h6mpN3HDB5sBmBbjz+pD+dYkQXllNQR6moO67NJq+rQxjfdYAywJdLakFnHDlCgenzeE6Id+BcxJgU5GbBt7pX568wT2ZpYcNyW2YWrtV7dNYktqEX+aFInW5jd43V2YjwvpRZXUG03WEeML3lhLYUUtl44N4499OZRU1bEuqYBNKYUczClnRJg37k72jItqfn/ZWYMCGRjkgZuTgb+eMaCrb0kI0Q5uTvZUNFpjml1SQ4iXM+seOsOGrRKnMwlMhRCiB8m0bBFz/eQowJwUJ6O4ioziKq6dFAmAp7MDCdVlLNmfQ2WtkfNGhrZap4uj4YSDUoAofzei/d1YcSAXD2d7qutMfHDDOHYeKSHK35URYd688HsCI8K8ee63BNIKK62BaVZJNUM6uAazIUETwF2zzFPM7p0zgD/2ZTebgKkzTenvz5T+/i2eHxnuzUjLmt+eIszHheUJedZRU4DCilouHhPGvy8ewQuXKqpqjcz6TzyP/7CH5LxyzhraenZOf3cnfr9nOlprmQIoRDfl6migsuboGtPCihp83R1t2CJxupPAVAghepCc0mrOHdGHyZbgyMvFgU2HCwGsU3U9XRwoqarjxx0Z9PFy7pJsinEDA/hsYxqVtUZCvV2YHhNgHkm1eOPqsSTllfPcbwkcKaokNsqX2noT+eU1BHdwKq+Lo4G7ZvVnTKQPPm7mN1F3nRFzStZyng7CfVzJL69hRUJuk+NPnDfEmqzIxdHA/XMHcs+incDRUeu2SFAqRPd17IhpYUUtvm6n9sM9IVojgakQQvQQRpMmo7iKs4f3sR7zdHFAa/P3IY0C07LqelYcyOOmqdFdkgk1bmAg7689zKaUQm6Z1vxzNgTOezNKMZrS2ZxSiNatbxXTknvPlEQ6naV/oHkE+smf96EULL13BkaTbrKtDMD5I0P5fnsmGpgt+xkK0eO5OhqorjNZt4MqrKylb6MZKUJ0NQlMhRCih8gsrqLOqAn3cbUea9juBBqNmFr2OTWaNNNjTiwZUEc13r6kuW1hwJxRd1CwB++sSQHAw8me4aFejI/2a7a86BpzhwXz7R2TScmrwN3ZvslU6cbs7BQf3ji+i1snhDhV3BzNfyuq6ozkl9WYM2gPlqm8wnYkMBVCiB7ijfhE7BTERh0NAhsHpg3rKxsfGxXh3SVta7zdS2tZaN+9fhxTnlsOwMr7Z+LrJm+CbE0pxZgIH8ZE+LRdWAjRa7g6mbcHq6ypJ+7FeAD8ZI2psKF2BaZKqSDga631tBbO/xOYYXkYDHwIfARsBBItxy/VWuedXHOFEOL0tC4xn883HeHW6X2brO9rCEI9nOwxWKbPelhGTAM9nNq9P2hn8LKsbe0b0PL2AqHeLvzvT7Fkl1RJUCqEEDbUMGLasN80QE2dsaXiQpxybb5jUUr5YA40W3ynobV+olH5rzAHpROAZ7TWCzuhnUIIcdoymjQPfbebKD9X7p7ddOuNhsA03Pfo9N7x0X5cOT6Cu2d3bTKgn/48lcS8MhwMrW+RMmeIrE8UQghbc3U0j5gu259jPTb9BPeCFqIztOejdCNwOfBDWwWVUuOADK11hlJqInC2UupPwAat9T0n11QhhDg9HS41kVpQzctXjMLF8kaiQb3JnPkoutEm6L5ujjx70fAubSNAhJ8rEX6ubRcUQghhc56WDzZ/25ONt6sD2x6d0yXJ8oRoSZuBqda6FNqd8v2vQMPo6W/AU1rrMqXUL0qpEVrrXY0LK6UWAAsAgoKCiI+P70DTRVcoLy+XfukFpB97th1ZVYBC5RwkPv5Qk3M1ZSYAhrsUSR93c/I67Nmk/3oH6cejCqvNfz8yiquIDTKwatVKG7eobdJ/vVunLT5SSnkDgVrrJMuhdVrrGsv3CUAM0CQw1Vq/DbwNEBsbq+Pi4jqrOaKTxMfHI/3S80k/9mwvb1tM3wBnzjsrrtnzV83Tsl9kDyCvw55N+q93kH48ymTSPLx2MdV1Js6fOIi4SVG2blKbpP96t9YXAnXM+cCvjR7/rpTqo5RyBc4C9nTicwkhxGmjsFoT6dvyFFkJSoUQQnSUnZ0iys+8DGRSP38bt0aIEwhMlVKzlFJ/bubUWcCqRo//CawANgBvaq0PnFgThRDi9FZQZSLEskepEEII0VkGBnsQ4uVMv1ayqQvRVdo9lVdrHWf5dzmwvJnzVx3zeAUw6CTbJ4QQp7XK2nrK65DAVAghRKd79NwhVNTUy8wb0S103QZ3QgghOiyzuAqAMB8JTIUQQnSuAA8nAjycbN0MIYDOXWMqhBCik+3LKgMgVEZMhRBCCNGLSWAqhBDdlNaat1YmEeSqGBXubevmCCGEEEKcMjKVVwghuqGskioWbT7C3sxSbhrmiL1BPkcUQgghRO8lgakQQnQj29OK+MdP+9h5pBiA8dG+TAqptm2jhBBCCCFOMQlMhRCiG3l52SHSCir4+1kDOWtoMP0D3YmPj7d1s4QQQgghTikJTIUQopvQWrPzSDFzhgRx58z+tm6OEEIIIUSXkcBUCCFs7FBOGb/tySajqIqiyjpGSqIjIYQQQpxmJDAVQggb+n57Bncv2gGAj6sDQ0M8iRsYaNtGCSGEEEJ0MQlMhRDCRvLLa6xB6bd3TGZMhI9tGySEEEIIYSMSmAohRBf7cssRdhwp5rttGebHt06SoFQIIYQQpzUJTIUQogvlllVz/9e78HS2J8zHhUg/V8ZFSVAqhBBCiNObBKZCCNGFDmaXA/DmNWOZ3N/fxq0RQgghhOgeJDAVQthEvdFETb0JN6fe/2uo3mhi5cE88strWJ9UAEBMkIeNWyWEEEII0X30/neEQgib+XLzEYaEeDIs1Ou4c0/8uJdPN6ax/8m5uDgabNC6U0NrjVLK+nh3egm3fLSF7NLqJuX83R27umlCCCGEEN2WBKZCiFMiOa+c+7/ZBcDSe6fTP/DoCKHRpPl0YxoAX29L59qJkTZpY2fbmlrEjR9s5q4zYgj1dmFraiHvrEkhwN2JN68Zw8aUQnall3Dp2LAmwasQQgghxOlOAlMhxCnxx74c6/eP/7CXC0aFMjDYg++2Z/Djzkzrub0ZJbZo3imxKaWQkqo6nvp5HwAOBsWgYE/unh3DWUODmTusj41bKIQQQgjRPbUrMFVKBQFfa62ntXA+FNgIJFoOXaq1zlNKvQsMBn7VWj/dGQ0WQnR/Wmu+25bByDAvLhkbxmM/7GWdZW0lwJwhQZw3MoSF8UlsTClkf1Ypg/t42rDFrSsor8HF0UBibjnP/LKf5y4eQbS/23Hl0gor8HC25/s7p1BVayTcxxUvVwcbtFgIIYQQomexa6uAUsoH+BA4/l3YUROAZ7TWcZavPKXURYBBaz0ZCFFKxXROk4UQ3d3ezFIO5JRxaWw4V02IZHijNaberg68dtVo5o8MIdjLmZT8Ci5ZuI6E7FIbtrhlv+3OYuq/V3Dvop18tD6VjSmFXPvuRnKOWTMKkJxXwYAgD/oFuDMs1EuCUiGEEEKIdlJa69YLKOUJKOAHrXVcC2WeB84GyoENWut7lFKvAIu11r8qpS4BPLTW7x9z3QJgAUBQUNDYL7744mTvR3Sy8vJy3N3dbd0McZK6qh/rTebfJ8vT6vksoZb/i3PBx9mOvEoTf19VBcAgXzseHO8CwHt7aliVXg+Av4viiUkueDjafu1lrVGzM8/IzjwjazLqcTZAtdF8rr+3HellJgJc7fjHJGdyKjU+zgpnA9wdX8UwPwO3jHDq1PbI67B3kH7s2aT/egfpx55N+q/nmzlz5latdWxz59qcyqu1LgXaStTxG/CU1rpMKfWLUmoE5hHWDMv5UqB/M3W/DbwNEBsbq+Pi4tpqjuhi8fHxSL/0fF3Vj7d+vIWNKYX4uDoS4mXHhXNnWc+tLtnOjzszGRAeTFzcaAD+KNoN6WnMHxnC73uzWVfuz7MXDT/l7WxJeU09n25I5Z0NKeSV1QBw3sgQ7jtzIPd8uQNXRwNPnj+MfZml3PnZNtKconh2WQJ+7o6cPawPJTUpnDdpMHHjIjq1XfI67B2kH3s26b/eQfqxZ5P+6906K/nROq11jeX7BCAG8+ipi+WYO+2YNiyE6LnyympYuj+XYE/z9NwLR4c2Oe/rZt4eJcjz6GhiRY15tHTGgADKq+vYllrUdQ1upKbeyIu/H2DR5iOUVtczpb8fj80bgtFkYv6IEOwNdnxz+2Rr+UhfV8J9XXj2twRqjSbqjJr31qbg4WzPuSNCbHIPQgghhBA9WWcFpr8rpa4ESoCzMI+CugFTgQ3ASOBAJz2XEKIbWpOYh9Gkeevasbg52ePr2nSfTgeDedaFj9vR4/fMHkBFTT1zhwVzOL+CVYfyqa4z4uzQtfua/rgjk/+tTmFajD/3nTmQkeHerZa3s1NMiPbj663pACy+expbDhcxuI8H7k6S7FwIIYQQoqM6/A5KKTULGKK1fq3R4X8CK4Ba4E2t9QGlVBawWikVgnn96cTOaLAQontKya9EKYgJcsfJ/vjAss5oXn/qYHd08kSUvxvvXDcOgKEhnhhNmr2ZpYyN9On09lXW1mM0aV5acpCYQA+umnB0uu2mlEJ83Rz56Mbx7d5fdGykD19vTSfQwwl/dyfmDgvu9DYLIYQQQpwu2h2YNiQ+0lovB5Yfc24FMOiYY6VKqThgDvC81rr3bFYoRC9z1+fbSS2s5Ic7p5xwHWkFFYR4uTQblAI42ZsDUrcWRhQn9fPD0WDHTzszOz0w/WNvNgs+3trk2IAgd2KjfAHYdLiQcVE+7Q5KAeaN6MORwkouGRvWqW0VQgghhDgdndI5Z1rrIuDLU/kcQoiOqTeauO2Trfi7O+Fkb0dxVR0/7swE4OP1h9lxpISHzhmEv3v7MsuWVdfx+aY0dmeUEOnn2mK5O2f1RwMXjQlt9ry3qyNxAwNYuj+Hf5w3tMP31WBPRgmh3i5Npgy/v/YwAKHeLvzrouHc8uEW3l97mFHh3uSX15JaUMmfJkV16Hk8nB24f+6gtgsKIYQQQog2yWIoIU4zW1OLWLo/FwB3J3tqjSbrucd+2AvA1Bg/Lhzd9khgRU09N7y/mS2WpEXjo31bLOvp7MDD5wxutb7oADfiD+Shte7Q6KXWmryyGp78eR8/78riwtGh5JRWE+bjgpeLA+uTC7hn9gD+PKs/BjvFuGgfftmdRWl1HaHe5hxtE1ppuxBCCCGEOLUkMBXiNFBVrymvqcegFP/6dT+OBjvWPTQLPzdHjCbNkaIqthwuxN/diRs+2ExGUVWbda5LyufJn/ZxKLeciX19Scgu49LY8JNqZ4C7E7VGE6XV9Xi5OLTrGqNJM/35FWQUV+FosCPEy5nvtpt3qlIKtIb5I0P4y6z+2NmZg93H5w3lhd8PEH8gl3qTJsjTicF9PE+q7UIIIYQQ4sRJYCrEaeC17dU8sTGeP02KZGd6CXfPjrFO1bU3KKL93Yj2dwPAz82RjOK2A9MXfz9AQnYZr101mnOH98Fo0tgbTm5XqAAPc5vyymraHZhmFleRUVyFk70dv/11Gov3ZvP8YnMS8J/+PJXE3HLOGhpsDUoBBgZ78M51sdTUG6muNeHkYIfBrv0jtEIIIYQQonPJ3qJC9HKFFbXsKzCRW1bDi38cxNvVgbtmxbRYPtTHhfQ2Rkyr64zszijh1hl9mTciBKXUSQelgDVYziurOe6c1podR4qpbzT1GCC1oBKAD28cT98Ad2YMCLCeGxriyQWjQ3FxbCkhkwEvV4cu355GCCGEEEI0JYGpEL1UvdHEe2tSuHjhOjTw+LwhOBrsmNTXr8no4bFCvV3aHDHdkFxAnVETG9m56zIbAtP8cnNgmlFcxa0fb6HEkqDpgtfXctsnWymsqAWgtt7EUz/vAyDKzzziOzTEi2/vmMyiBRM7tE5VCCGEEELYjkzlFaKXevGPg7y5MonhoV78dYwTN06NZmJfP/zdHVu9LsjTmTWJ+W3UfYBQbxem9vfvzCZbp/L+5fPtDA/14rEf9rD6UD7njsjjpSUHAVi6P5f//HGAZy4czrL9ORzIKQMg0ONoFuExEZ2/D6oQQgghhDh1ZMRUiF4o/kAub65M4srx4fz0l6mMDjR/BjUkxJNAT+dWr3V3sqeiph6tdbPny6rr2JNRypXjw1ucInuivF0cGB3hDcD5r69l9SFzgPzemhRSCyp57/pYpvb359ONaby1Mol1SQUAXDk+vNVRYCGEEEII0b3JiKkQvUxOaTX3frmTgUEePDG/4/uBujnZY9JQXWdqNvA8aBmhPBVZbO3sFN/dMYXE3DIuXrjeenzHkWJiI32YOTCQ5LwK1iTm8+xvCQCMCvfm2YtGdHpbhBBCCCFE15HAVIge5qFvd7MxuYDBIZ7kl9Xw5PnDGBjsQb3RxMPf7ebLLem4OBh4/erRJ5TUx93JfE15Tf1xganJpFlzyDxKOTDY4+RvpgX9Az1Ycs90kvMruOLtDQBcOykSpRTXTIzEy8WBKH833l+bwqxBQaesHUIIIYQQomtIYCpED7I9rYjPN6UxKNiDtYn5FFfWcdOHm5k5MJBNKYXW9ZYLpvelf+CJBY5uTuZfCxU19dY1n2kFlXyzLZ1vtqWTXlTFgCB3Qr1dOuemWhDo6dxk2nHDulFnB4N1v9RxUZ2bfEkIIYQQQtiGBKZC9CBfbzWPhn5z+2TcnOx5Z3UyT/+yn483pDItxp8zBgeigZunRZ/wczQEpjml1Ww6XMjXW9PZlFKIUjC1vz9/P2sgZw4J7vKMt2E+pzYQFkIIIYQQtiOB6UlILaggtaCS6jojRpPGYKcYF+WLj1vrWU9F5/l+ewb2BsWcIUFsSilkU0ohf57VHyf73rcvpdGk+X1vNrMGBVqDx2kxAcB+nOzt+PimCZ3yPO6Wui+3TKHt6+/G388ayIWjQwk5xaOkzfnm9kkUlNfK1i9CCCGEEL2YBKYnQGvNjzszuffLnRhNTTOXXjI2jBcvHQlASn4FRZW1mEyaWJly2OmySqq4e9EOAPzdHckvN+9tOTrCm1mDgkgrqOTfvycQ4uXM3GF9GBvZvi1Ethwu5IFvdvHZLRMJaiGD7Y87Mykor+GGKeaRSaNJ89C3u8gsruaK8eGsTSzg9hn9iPBzbXLd4j3ZDAhyp2+Ae7vaUlJVx/fbM3C0t6PeaCK/vJZzhvexnh8Q5M5NU6OZPzKkXfW1R0NgCvDZzROY1M/PpkHh2E7eK1UIIYQQQnQ/Eph20JpD+fxnyQG2pxXTP9CdAHcnLh4bxtAQT57+ZR/b0opILajgL59vZ1d6ifW6D24YR9zAQBu2vPfZfLgIgAfmDmLL4UKyS6vZm1nKhuRCBgR58NdF29meVgzA/1an8OWtkxgf3XaQ89+lh0jKq+Dhb3dzaWwYQ0O8CPc9GmBqrbnr8+0AnDcyBD93J77YnMaXW9IBrHuA7kov5pe7plmvS8or57ZPtmJvp7h2UiR/PSMGb9eWR9dXHszjlo+2UFtvsh5zcTAwc1CA9bFSisfmDWnznjrCrVFgauugVAghhBBCnB4kMO2gl5cdZHtaMf+6cDiXjwvH0GjvxEl9/Xjxj4M8+M1uErLKeOScwWw6XMiSfTks2nyEEWHe/Lwrk8vHhffKqaZdqc5o4ttt6bg5GrhlWjS3x/UD4ILX1/L2qmTeXpUMwINnD8Jo0ny2MY2bP9zMt3dMbjYpkNaa9ckFfLYxjQ3J5qyzyxJyWZaQi72d4tObJ1Bn1IyN9GF/dqn1unNfWcP5o0P4dlsGI8O9WbRgIt9vz2DFgVx+35tDUUUt3q4OfLoxjd2WDyrOHt6HD9cdZuWBPJbeO6PZ/TeNJs0j3+0m2NOZV64cjZ+bI4m55Xi7OuDqeGpfto1HTCUoFUIIIYQQXaFd73CVUkHA11rraS2cjwA+AkxAInArEAJstDwGuFRrnXfSLbaxlPwKLo8N56oJEcedm9jXD4D1yQUM7uPJLdP7csv0vjzzyz7eX3uYralF5JbV4OfmxLkj+hx3vWi/t1clE38gj4fPGYS9wc56/LF5g1l1MJ8+Xs70DXBnXJQPSinOGxnCvFfX8PKyRF69crS1fFFFLV9vTefzTWkk51fg6WzPtZMiuWtWDI72dhzMKePK/22wrrd0czRQU2/Cy8WBZy4cxvfbM3hrpTkIfur8YTg7GLhifASRfm78vjeHM15ayYAgdzYkFwLmBD6vXjmaGQMCuO+rnXy/I4NgT2c8XRzoH+iOvZ1iU0oh29KKSC+q4vWrxjAq3BugyajtqeTmJB+aCCGEEEKIrtVmYKqU8gE+BNxaKXYrcLvWer9S6jdgONAfeEZrvbBTWtoNlFbXkV9eS3RA8z+K2ChfPrhhHNe/v5mJfY9OGb18XDjvrknB08WBvPIaDuWWARKYnojM4iqe+XU/v+zKYs6QIBZM79fk/NhI32bXJIb7ujK5nx+70oupN5ow2CneiE/i5WWHqK03MTbSh//M7M+5I/o02ftzdIQPc4cG8/2OTMZH+xLt58b2I0XcNDWaeSNCmDcihDfiE9mUUsiZQ47upzkizAs3RwOFFbVU1Rqtx2+eal6Tes7wYJ78aS/3frnTei7I0wl/dyf2ZppHZAM9nJg9pOunf7ud4hFZIYQQQgghjtWed6BG4HLgh5YKaK0fafTQD8gHrgHOVkr9Cdigtb7nZBpqC+sS86kxmphpWRt6OL8CgGj/lmP0uIGB/PbXaUT5HS3TP9CDP+6ZTpiPK2f+3yoO5Zaf2ob3Urml1Vz4xlpKquq4e3YMtx4TlLZlWKgXv+3JZsYL8UyL8eeLzUc4d3gf7jojhoHBLe/5+fSFwxkV7s2cocHN7t15R1x/7ohreszNyZ5V98/Ew9nBmrhodWI+M2LM60NdHe35YsEkftqVyYRoX8qq6/lw3WGS8yt4Yv4Qpg8IoI+Xs02mfNvZKfoFuHH1hMguf24hhBBCCHF6UlrrtksBSql4rXVcG2UuB+ZqrW9QSs0Etmity5RSvwAPaa13HVN+AbAAICgoaOwXX3xxIvdwwupNmnd31zAzwoEBPga01mSUa4xak1epeW1HDQCvzXLF3VGxPrOet3bV8MxUF0Ld7dqovXn/3VpNVoWJZ6e5YNdN1+/VGjUacDIoysvLcXdvXwbZU+2Pw3V8llDLPyY5E+XV8YAtodDIc5uqrY/n9XXg4hiH02IdZXfqR9Fx0n+9g/Rjzyb91ztIP/Zs0n8938yZM7dqrWObO9dpc/aUUn2B+4DZlkPrtNY1lu8TgBigSWCqtX4beBsgNjZWx8XFdVZz2mXNoXzW/7GRhBI7fvzzJHamF/Po79uPK1fgHs28yVFsX3IQpQ5xydwZJzySlet+hPu/3sVv+b5cOSGCMRHt28KkqxzILuOSN9eBhlum98WtPo2AiOFMsKyf7Up1RhN/+3In5TX1eLs48MPBTAI8nLj+/DNOqL444OwZFXy1JZ0hIZ5Ntl3p7eLj4+nq15foPNJ/vYP0Y88m/dc7SD/2bNJ/vVunBKaWdaifAzdqrRv2SPldKXUlUAKchSUA7S6S8sr5aWcmjgY7jCbNgo+3MjTEE4BXrxxNWmElMwYEsOCjLWxJLeKy2HA2pRQS5uNyUtMrLx0bxsL4JL7ams5XW9M5/Ny5nXVLnWLJvmzKquuZEO3LS0sOmg9u2NDhdtYZTRzKKWdQsEezWWebU280UVNvIrWgkiX7ctiSWsjqQ/n09XejtLoeo0njaDixkeoGkX5u3HfWwJOqQwghhBBCCNG5OhyYKqVmAUO01q81OvwgEAG8apkW+QTwT2AFUAu8qbU+cPLN7RxHCis54z8rAYiN9OHmaX257ZOt7M8qZWp/f+aPDLGWHRXhzepDecx4YQW5ZTUMDGp5LWJ7KKV4YO4gbvtkKwBl1XV4ODucVJ2dpabeyKbDRYT5uLDo1klsPlzIpW+uB6CwohZfN/OemwnZpaxLLMBgp3B1NHDB6FAcGgWMh3LK+OdP+1iTmE+IlzNXT4zk9hn9Wg1Qa+tNTP33cnLLao479+tfp1FZa2TMU0s4b1RIM1cLIYQQQggherJ2B6YN60u11suB5cecewB4oJnLBp1M406F8pp67vri6HTdCD9XZg06mvl0dIR3k/JjI335dXc2I8O8yC2rYWio50m3Ye6wYGv23l3pJUzp799q+d3pJWSWVHHW0OCTfu7GTCbNT7syCfF2YVyULw99u5tVB/MYGeYFwLgoX+6LdebFLdUsjE/kL2fE4O5ozx2fbiM5r8Jaz+bDhdw/dxA+ro78d+lBXluRiLO9gYvHhJFbVs0Lv5s/k7hzZv8W25KYW05uWQ0jw725ZVo0w0O92Hy4iDqjCWcHA84OBnY+cSZujrKViRBCCCGEEL3NabUvRFWtkZs+MAeDDcK8XXC0PzraN3dY0+DvmokRjAzzYkyED2mFlfi5O3ZKW0Zb1pZuTytqNjDVWqOU4kB2GfNfWwNAyrPndGqino83pPLEj3txsrfjthn9+HZbBgAT+x1dTxruYf7Z/G91Ch+uSyXSz5XkvAqeu2g4c4YEMfbppXy5JZ2U/AocDHasSyrg0rFhPHTOYHzdHNFac/37m/lw3WEWTO/bZGS1sYRs8xYpL14yghjLqHSkX9Psx14u3WNkWQghhBBCCNG5Tm7BXg/z6cZUNqYU8tJlIzlrqHnPyVAf8/YfD549iDER3gzp03RE1MneQGyUL3Z2iih/t06bduvl4kD/QHe2pRUfd25bWhGjnlzC1tQi7v1yh/V4RnEVRlP7sii3xycbUnF1NKAUvLzsEIEeTnxwwzjumT3gaDudFK9eOZqXLhvJtZMiMZo0V44P55KxYfi5O3H37BgANh8uYmtqEc9fMoIXLh1pnfarlOKaiZHkltWwPCG3xbbszSzF0d6u1a14hBBCCCGEEL3TaTViui6pgL4Bbpw/KpTFe7IBrImMbpvRj9tmdGxfzJM1OtybpftzrKOjDbalFlFSVcfV72ygus7ETVOjeXdNCnNeWkW9yUSknxv3zB5A/0B3ftiRQZ3RRLS/O1eOD29Sj9aaoso6a5DYWEZxFYdyy3l83hCuHB+BvUG1OJrZsOb2ojHw2LwhTc7dPXsADgY7Xvj9AM9eNJyLxoQdd/3MgQEEeTqxaPORJtORq+uMODsYWJ6Qw6cbU5nSzw/7k0xuJIQQQgghhOh5TpvAtN5oYnNKIfMtyXPumTOAtMJK4gYG2KxNYyJ9+GprOtEP/cq0GH+m9vdnaow/KfkVGOwU1XUmzh8Vwl9m9efdNSlU1RmJjfThSFElb61KIiWvgrKaelwcDFTVGflo/WE+uGE8wV7OACzdn8stH21hULAHMwYEUF1n5G9nDcTT2YENSQUATOrnh8tJrtu82bImdFpM82tl7Q12nDs8hE82plJdZ8TRYMdPuzL56xc78HZ1oLiyjkHBHrxw6ciTaocQQgghhBCiZzptAtNNhwspq6lnmmU954AgD365a5pN29Q40VJOaTXP/pYAv5kfD+njybMXDWdgsAfODgaGhniyN7OUh84ZzC+7snhvbQoAb107ljOHBPHhusM8+fM+/vXrfl65cjQAO44UYW+ncHE08NaqZABigjwYGuLJs7/tp4+X80lnGQbzqPP0Aa0H+NNi/HlvbQovLzvEziPFrLMExs72Bv4xP4Yrxkfg7CCJjYQQQgghhDgd9drAVGtNTb3JGuz8sD0TZwc7ZthwhPRYMYHmoNBOwR/3zCCntJpvtqXz/OIDFFbUMjLc21p20a2TWHMojzER3uSVVVsD0/FRviiluH5KNNmlNby9KomZgwIYHupFYm45kX6ufHfHFLJLqjn/9TX8d+lByqrrCfJ05v0bxrV7j9GTNaGvL1F+riyMT7IeGx/ty6IFEzs1oZMQQgghhBCi5+m1gWn8gTxu+GAzI8K86Ovvxg87M7luUhSujt3nlg12ii9vnUQfy9TbIE9nbp/Rz7zP6qCgJmXdneyZO6wPALMGBRHs6YyrowGfRutHb5wSxVdbjnDPop3WY2cOMdcT7OXMA3MHsWjzEcJ8XHn4nEH4uTud6lu0cnW0Z8V9ceSW1ZBeVElRRR1DQz0lKBVCCCGEEEL03sB0d4Z5S5jqOiPf78hkTIQ3fz9roI1bdbzx0b5NHiulePaiEa1e42hvR/zf46g1mpocD/R0ZvUDM0nMLee819YC5inLDS4aE9ZscqKuopQiyNOZIE9nm7VBCCGEEEII0f302sA0o6iKAA8n/rhnBmXVdbg72feq0TlnB0OzazJdHe0ZEeZNkKcTOaU1XD4u3AatE0IIIYQQQoj267WBaXpxJaHe5j1KO2vv0Z7k05snklZYQbivq62bIoQQQgghhBCt6rWBaUZRFcNCvWzdDJvpH+hO/0B3WzdDCCGEEEIIIdpkZ+sGnAo19UYyi6sJ9XGxdVOEEEIIIYQQQrShV42Yaq0pra7n191Z1BpNjI/ybfsiIYQQQgghhBA21WsC08V7snj4uz0UVtRaj03u52/DFgkhhBBCCCGEaI9eE5i+EZ+EnYJHzx2Mk4OBEC9nXByPz1orhBBCCCGEEKJ76RWBab3RxIHsMq6dGMnN0/raujlCCCGEEEIIITqgxwemNfVGnv55PzX1Jgb18bR1c4QQQgghhBBCdFC7AlOlVBDwtdZ6WgvnHYDvAF/gHa31e80d64wG1xlN7M4oYUNyARuSC9lyuJDKWiMAI8NO3+1hhBBCCCGEEKKnajMwVUr5AB8Cbq0U+wuwRWv9D6XUt0qpr4Bbjj2mtS5r6/lyS6vxcnXAyb7p+tAVCbm8v+5wk0B0QJA7l4wNI25gAGE+rsQEebRVvRBCCCGEEEKIbkZprVsvoJQnoIAftNZxLZT5EXhQa71PKXUfsBW459hjWusVx1y3AFgA4BoUPTb2rtc5Umaij5vigfEueDoqAMprNfetrMTNQTEq0MAgXwMDfQx4OqmTunnRtvLyctzd3W3dDHGSpB97Num/3kH6sWeT/usdpB97Num/nm/mzJlbtdaxzZ1rc8RUa10KoFSrQaAbkGH5vhQIauHYsXW/DbwN4Bc1WPft40dUMKxNzOf3PC9ev3oMAB+sTaHauI/v/jyVwbKOtEvFx8cTFxdn62aIkyT92LNJ//UO0o89m/Rf7yD92LNJ//VunZX8qBxwAUoAd8vj5o61KNrfjfdvGA/As7/u5901KRRX1uLt6siG5ELCfFwkKBVCCCGEEEKIXsiuk+rZCky1fD8SONzCsXaZPzKEepPm7kU7SC2oYGNKAROi/TqpqUIIIYQQQgghupMOj5gqpWYBQ7TWrzU6/CHwq1JqGjAE2Ih5Gu+xx9plWKgXj547mJeWHGTGC/EATOzr29GmCiGEEEIIIYToAdo9YtqQ+EhrvfyYoBStdSowB1gLzNZaG5s71pGG3TytL0vvnWF9PLGvjJgKIYQQQgghRG/UWVN50Vpnaq2/1FqXtHasI0K8XZg9OBA3RwNhPi6d1VQhhBBCCCGEEN1IZyU/OmXevGYs9SbdVlZgIYQQQgghhBA9VLcPTO0NdtgbbN0KIYQQQgghhBCnSqdN5RVCCCGEEEIIIU6EBKZCCCGEEEIIIWxKAlMhhBBCCCGEEDYlgakQQgghhBBCCJuSwFQIIYQQQgghhE0prbWt2wCAUioPSLV1O8Rx/IF8WzdCnDTpx55N+q93kH7s2aT/egfpx55N+q/ni9RaBzR3otsEpqJ7Ukpt0VrH2rod4uRIP/Zs0n+9g/Rjzyb91ztIP/Zs0n+9m0zlFUIIIYQQQghhUxKYCiGEEEIIIYSwKQlMRVvetnUDRKeQfuzZpP96B+nHnk36r3eQfuzZpP96MVljKoQQQgghhBDCpmTEVAghhBBCCCGETUlgKoQQQgghhBDCpiQw7cWUUl5Kqd+UUkuUUt8ppRyVUu8qpdYppR5tVC5IKbW60eMxSqmllnJ/a6V+B6XUz5ZyN1qO/VMpFW/5SlBKPXRq77L3a08/NlfGcvy4/m7hOdr8fyFOjC36Tyl1e6PX4Q6l1Fun/k57t5PsxzZfS839PrUcH6yU+uHU3l3vZ4v+k7+Hne9E+7Glvm3hOeTv4Slii/6Tv4c9iwSmvdvVwEta6zlANnAFYNBaTwZClFIxSikf4EPArdF1rwI3AFOAi5VS0S3U/xdgi6W+eUopD631E1rrOK11HLAb+OiU3Nnppc1+bKbMXKXURc2UO05z5Vr4fyFOTJf3n9Z6YaPX4WokWURnONF+bO9r6bjfp0qpfsALgNepuaXTSpf3n/w9PCVOqB9bOHYc+Xt4ynV5/8nfw55FAtNeTGv9htZ6ieVhAHAN8KXl8XJgKmAELgdKG13qq7U+os2ZsQoAzxaeIq5RfesA64bHSqlxQIbWOqMTbuW01p5+bKZMLk37p6G/m9Ncueb+X4gTYKP+A0ApFQoEaa23nvydnN5Ooh/b+1qK4/jfp2XAxZ1yA6c5G/UfIH8PO9OJ9mMLfducuGPrQ/4edhob9R8gfw97CntbN0CcekqpSYAPcBho+MNYCvTXWpdayjS+ZK1S6s9AIRAF7LJMJWv8qf1nmD89bFxfUKPzfwWe6Mz7ON211o/HltFab1BK3XJsOcsUloGNql3O8f3Y0v8LcRK6sv8anb8TWNi5d3J662g/NjrWuI52/T7VWq849lpxcrqy/xqdl7+Hnewk+rHx71j5e2gjXdl/jc7L38MeQALTXk4p5Yt5au7FwL2Ai+WUOy2PmN8KzASeBP5tGTk9v5m6z7XUV2Kpr9xy3BsI1FonddqNnOba04/HlAFzfzQpp7W+tZm6X26uPtF5bNF/Sik7YKbW+uHOvp/T1Qn243G01u3+fSo6jy36T/4edr4T7cdjj8nfQ9uwRf/J38OeQ15wvZhlcfiXwENa61RgK0enNYzE/EnVcbTWRuCA5eGnrTxFS/WdD/x6ou0WTbWnH5spQ3PlWniK9pYTJ8CG/TcN2Ng5dyFOoh/bS16Hp5AN+0/+HnaiE+3HDvStvA5PIRv2n/w97Cm01vLVS7+A24EiIN7ydR2wE3gJ2A94NSobf8y1HwLT2qg/EtgLvAxsxrzgHMzTmsbY+v57y1d7+rGZMpdjXhvcbH8fU3+L5Y79fyFfPaf/gH8BF9n6/nvL14n2Y6Pr49uov9nfp+25Vr66b//J38Pu0Y+t9e0x9cvfw17Yf/L3sOd8KUuHidOEJbvcHGCV1jq7E+oLwfzp1O9a65KTrU+0T3v7sbPLic4h/dc7yO/Tnk36r3c4Bf0ov0+7kPSfaEwCUyGEEEIIIYQQNiVrTIUQQgghhBBC2JQEpkIIIYQQQgghbEoCUyGEEEIIIYQQNiWBqRBCCCGEEEIIm5LAVAghhBBCCCGETf0/jgQr4jAKp3sAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1152x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%run Quant_useful_packages.ipynb\n",
    "C = SingleFactorAnalysis('000985.SH', '20190118', '20221231', 'factor_fill_1', 'pct_close_next_close', long_low=0, dt_index='240m', n_group=10, neu_style=None, calc_crowd=False)\n",
    "result_df = C.run_code(nextpct_shift=1)\n",
    "result_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "id": "c9579aaa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 150,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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": [
    "pd.notnull(C.factor_df).sum(axis=1).plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "27145256",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}