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"source": [
"# 前言\n",
"\n",
"**在做因子开发时突然在想有些因子不一定非得用于选股,根据因子金融逻辑(或者IC等)用于开发择时信号也许也会有不错的效果,于是便有了此篇尝试。**\n",
"\n",
"**低波效应**是由投资者的交易行为引发的市场现象,表现为过去波动较大的股票会在未来有较大回调的风险,从而相比全市场有较为显著的负超额收益。低波效应的核心逻辑在于**由投资者的过度反应带来的股价变动相对于市场异常现象的均值回归**,当投资者对于个股在短期内存在非理性“追捧”时,个股波动迅速上升,相比于市场的价格变动也呈现同步性的异常,但这种非理性不可长期持续,最终个股价格会随着交易行为回归正常而回落至合理价格区间,波动率因子的构建即基于低波效应带来的确定性收益。\n",
"\n",
"\n",
"**波动率因子:**过去 21 天收益率标准差作为基础波动率因子。\n",
"\n",
"**特异波动率因子:**以 fama 三因子模型为基础,对过去 21 天个股收益率做市场收 益率、规模因子收益率和价值因子收益率的线性回归,取残差计算标准差作为特异波动率因子。\n",
"\n",
"\n",
"**特异度因子:**作为简单衡量个股交易行为异常的描述,其构建方式为对过去21天个股收益率做市场收益率、规模收益率和价值收益率的线性回归,取回归的拟合优度,以 1-拟合优度作为特异率因子,特异率因子值越大,个股存在更多的交易异常行为。\n",
"\n",
"**特异度因子**的逻辑是:个股表现反常的原因多种多样,如市场多空双方博弈力量的局部改变、公司出现突发事件,但从结果上看,价格可以反应消化所有信息,故从资产定价模型出发,个股的收益可以被市场中共同因素解释,所以个股表现是否“反常”,可以以个股和市场表现的一致性进行刻画。而FF3模型恰好描述了个股的收益率可以由市场收益、大小市值相对收益和高低估值相对收益解释,故使用FF3定义特异率因子在好不过了。\n",
"\n",
"**FF3模型**\n",
"\n",
"$$r_t = \\alpha_t + \\beta_{MKT}MKT_t+\\beta_{SMB}SMB_t+\\beta_{HMB}HMB_t+\\varepsilon_t$$\n",
"\n",
"我们以模型的$R^{2}$为特异度因子,$R^{2}$为:\n",
"\n",
"$$R^{2}=1 - \\frac{SSR}{SST}$$\n",
"\n",
"其中:\n",
"\n",
"$$SSR = \\sum(r_i - \\hat{r_{i}})$$\n",
"\n",
"$$SST = \\sum(r_i-\\bar{r_i})$$\n",
"\n",
"现在我们在看看波动率和特意波动率公式:\n",
"\n",
"$$特别波动率=\\sqrt{\\frac{\\sum(r_i-\\hat{r_i})^2}{N-1}}$$\n",
"$$波动率=\\sqrt{\\frac{\\sum(r_i-\\bar{r_i})^2}{N-1}}$$\n",
"\n",
"故特异度因子于特意波动和波动率的关系如下:\n",
"\n",
"$$特异度=\\frac{特别波动率^2}{波动率^2} \\Rightarrow 特异波动率=\\sqrt{特异度}*波动率$$\n",
"\n"
]
},
{
"cell_type": "code",
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"# 初始引入\n",
"import sys\n",
"sys.path.append('../..')\n",
"\n",
"from BuildPeriodicDate import *\n",
"\n",
"import talib\n",
"import numpy as np\n",
"import pandas as pd\n",
"import empyrical as ep\n",
"import scipy.stats as st\n",
"import statsmodels.api as sm \n",
"\n",
"import alphalens as al\n",
"from alphalens import plotting\n",
"import alphalens.performance as perf\n",
"\n",
"from jqdata import *\n",
"from jqfactor import (Factor, calc_factors)\n",
"\n",
"from functools import reduce\n",
"from tqdm import tqdm_notebook\n",
"from typing import (Tuple, List)\n",
"from dateutil.parser import parse\n",
"\n",
"import seaborn as sns\n",
"import matplotlib.pyplot as plt\n",
"\n",
"\n",
"mpl.rcParams['font.family'] = 'serif' # pd.plot中文\n",
"# 用来正常显示负号\n",
"mpl.rcParams['axes.unicode_minus'] = False\n",
"# 图表主题\n",
"plt.style.use('seaborn')"
]
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"'''\n",
"最大回撤相关\n",
" 绘制回撤区间图\n",
" 回撤区间列表\n",
" from https://github.com/quantopian/pyfolio\n",
"'''\n",
"\n",
"# step 1\n",
"\n",
"\n",
"def get_max_drawdown_underwater(underwater):\n",
" \"\"\"\n",
" Determines peak, valley, and recovery dates given an 'underwater'\n",
" DataFrame.\n",
" An underwater DataFrame is a DataFrame that has precomputed\n",
" rolling drawdown.\n",
" Parameters\n",
" ----------\n",
" underwater : pd.Series\n",
" Underwater returns (rolling drawdown) of a strategy.\n",
" Returns\n",
" -------\n",
" peak : datetime\n",
" The maximum drawdown's peak.\n",
" valley : datetime\n",
" The maximum drawdown's valley.\n",
" recovery : datetime\n",
" The maximum drawdown's recovery.\n",
" \"\"\"\n",
"\n",
" valley = underwater.idxmin() # end of the period\n",
" # Find first 0\n",
" peak = underwater[:valley][underwater[:valley] == 0].index[-1]\n",
" # Find last 0\n",
" try:\n",
" recovery = underwater[valley:][underwater[valley:] == 0].index[0]\n",
" except IndexError:\n",
" recovery = np.nan # drawdown not recovered\n",
" return peak, valley, recovery\n",
"\n",
"# step 2\n",
"\n",
"\n",
"def get_top_drawdowns(returns, top=10):\n",
" \"\"\"\n",
" Finds top drawdowns, sorted by drawdown amount.\n",
" Parameters\n",
" ----------\n",
" returns : pd.Series\n",
" Daily returns of the strategy, noncumulative.\n",
" - See full explanation in tears.create_full_tear_sheet.\n",
" top : int, optional\n",
" The amount of top drawdowns to find (default 10).\n",
" Returns\n",
" -------\n",
" drawdowns : list\n",
" List of drawdown peaks, valleys, and recoveries. See get_max_drawdown.\n",
" \"\"\"\n",
"\n",
" returns = returns.copy()\n",
" df_cum = np.exp(np.log1p(returns).cumsum())\n",
" running_max = np.maximum.accumulate(df_cum)\n",
" underwater = df_cum / running_max - 1\n",
"\n",
" drawdowns = []\n",
" for _ in range(top):\n",
" peak, valley, recovery = get_max_drawdown_underwater(underwater)\n",
" # Slice out draw-down period\n",
" if not pd.isnull(recovery):\n",
" underwater.drop(underwater[peak: recovery].index[1:-1],\n",
" inplace=True)\n",
" else:\n",
" # drawdown has not ended yet\n",
" underwater = underwater.loc[:peak]\n",
"\n",
" drawdowns.append((peak, valley, recovery))\n",
" if ((len(returns) == 0)\n",
" or (len(underwater) == 0)\n",
" or (np.min(underwater) == 0)):\n",
" break\n",
"\n",
" return drawdowns\n",
"\n",
"# 通过上面两个步骤 就可以取得对应的最大回撤表格\n",
"\n",
"\n",
"def gen_drawdown_table(returns, top=10):\n",
" \"\"\"\n",
" Places top drawdowns in a table.\n",
" Parameters\n",
" ----------\n",
" returns : pd.Series\n",
" Daily returns of the strategy, noncumulative.\n",
" - See full explanation in tears.create_full_tear_sheet.\n",
" top : int, optional\n",
" The amount of top drawdowns to find (default 10).\n",
" Returns\n",
" -------\n",
" df_drawdowns : pd.DataFrame\n",
" Information about top drawdowns.\n",
" \"\"\"\n",
"\n",
" df_cum = np.exp(np.log1p(returns).cumsum())\n",
" drawdown_periods = get_top_drawdowns(returns, top=top)\n",
" df_drawdowns = pd.DataFrame(index=list(range(top)),\n",
" columns=['Net drawdown in %',\n",
" 'Peak date',\n",
" 'Valley date',\n",
" 'Recovery date',\n",
" 'Duration'])\n",
"\n",
" for i, (peak, valley, recovery) in enumerate(drawdown_periods):\n",
" if pd.isnull(recovery):\n",
" df_drawdowns.loc[i, 'Duration'] = np.nan\n",
" else:\n",
" df_drawdowns.loc[i, 'Duration'] = len(pd.date_range(peak,\n",
" recovery,\n",
" freq='B'))\n",
" df_drawdowns.loc[i, 'Peak date'] = (peak.to_pydatetime()\n",
" .strftime('%Y-%m-%d'))\n",
" df_drawdowns.loc[i, 'Valley date'] = (valley.to_pydatetime()\n",
" .strftime('%Y-%m-%d'))\n",
" if isinstance(recovery, float):\n",
" df_drawdowns.loc[i, 'Recovery date'] = recovery\n",
" else:\n",
" df_drawdowns.loc[i, 'Recovery date'] = (recovery.to_pydatetime()\n",
" .strftime('%Y-%m-%d'))\n",
" df_drawdowns.loc[i, 'Net drawdown in %'] = (\n",
" (df_cum.loc[peak] - df_cum.loc[valley]) / df_cum.loc[peak]) * 100\n",
"\n",
" df_drawdowns['Peak date'] = pd.to_datetime(df_drawdowns['Peak date'])\n",
" df_drawdowns['Valley date'] = pd.to_datetime(df_drawdowns['Valley date'])\n",
" df_drawdowns['Recovery date'] = pd.to_datetime(\n",
" df_drawdowns['Recovery date'])\n",
"\n",
" return df_drawdowns\n",
"\n",
"# 将上面的df转为图\n",
"\n",
"\n",
"def show_worst_drawdown_periods(returns, top=5):\n",
" \"\"\"\n",
" Prints information about the worst drawdown periods.\n",
" Prints peak dates, valley dates, recovery dates, and net\n",
" drawdowns.\n",
" Parameters\n",
" ----------\n",
" returns : pd.Series\n",
" Daily returns of the strategy, noncumulative.\n",
" - See full explanation in tears.create_full_tear_sheet.\n",
" top : int, optional\n",
" Amount of top drawdowns periods to plot (default 5).\n",
" \"\"\"\n",
"\n",
" drawdown_df = gen_drawdown_table(returns, top=top)\n",
" print_table(\n",
" drawdown_df.sort_values('Net drawdown in %', ascending=False),\n",
" name='Worst drawdown periods',\n",
" float_format='{0:.2f}'.format,\n",
" )\n",
"\n",
"# 根据步骤1,2画图\n",
"\n",
"\n",
"def plot_drawdown_periods(returns, top=10, ax=None, **kwargs):\n",
" \"\"\"\n",
" Plots cumulative returns highlighting top drawdown periods.\n",
" Parameters\n",
" ----------\n",
" returns : pd.Series\n",
" Daily returns of the strategy, noncumulative.\n",
" - See full explanation in tears.create_full_tear_sheet.\n",
" top : int, optional\n",
" Amount of top drawdowns periods to plot (default 10).\n",
" ax : matplotlib.Axes, optional\n",
" Axes upon which to plot.\n",
" **kwargs, optional\n",
" Passed to plotting function.\n",
" Returns\n",
" -------\n",
" ax : matplotlib.Axes\n",
" The axes that were plotted on.\n",
" \"\"\"\n",
" from matplotlib.ticker import FuncFormatter\n",
" if ax is None:\n",
" ax = plt.gca()\n",
"\n",
" def two_dec_places(x, y): return '%.2f' % x\n",
" y_axis_formatter = FuncFormatter(two_dec_places)\n",
" ax.yaxis.set_major_formatter(FuncFormatter(y_axis_formatter))\n",
"\n",
" df_cum_rets = np.exp(np.log1p(returns).cumsum())\n",
" df_drawdowns = gen_drawdown_table(returns, top=top)\n",
"\n",
" df_cum_rets.plot(ax=ax, **kwargs)\n",
"\n",
" lim = ax.get_ylim()\n",
" colors = sns.cubehelix_palette(len(df_drawdowns))[::-1]\n",
" for i, (peak, recovery) in df_drawdowns[\n",
" ['Peak date', 'Recovery date']].iterrows():\n",
" if pd.isnull(recovery):\n",
" recovery = returns.index[-1]\n",
" ax.fill_between((peak, recovery),\n",
" lim[0],\n",
" lim[1],\n",
" alpha=.4,\n",
" color=colors[i])\n",
" ax.set_ylim(lim)\n",
" ax.set_title('Top %i drawdown periods' % top)\n",
" ax.set_ylabel('Cumulative returns')\n",
" ax.legend(['Portfolio'], loc='upper left',\n",
" frameon=True, framealpha=0.5)\n",
" ax.set_xlabel('')\n",
" return ax\n",
"\n",
"def print_table(table,\n",
" name=None,\n",
" float_format=None,\n",
" formatters=None,\n",
" header_rows=None):\n",
" \"\"\"\n",
" Pretty print a pandas DataFrame.\n",
" Uses HTML output if running inside Jupyter Notebook, otherwise\n",
" formatted text output.\n",
" Parameters\n",
" ----------\n",
" table : pandas.Series or pandas.DataFrame\n",
" Table to pretty-print.\n",
" name : str, optional\n",
" Table name to display in upper left corner.\n",
" float_format : function, optional\n",
" Formatter to use for displaying table elements, passed as the\n",
" `float_format` arg to pd.Dataframe.to_html.\n",
" E.g. `'{0:.2%}'.format` for displaying 100 as '100.00%'.\n",
" formatters : list or dict, optional\n",
" Formatters to use by column, passed as the `formatters` arg to\n",
" pd.Dataframe.to_html.\n",
" header_rows : dict, optional\n",
" Extra rows to display at the top of the table.\n",
" \"\"\"\n",
" from IPython.display import display, HTML\n",
" if isinstance(table, pd.Series):\n",
" table = pd.DataFrame(table)\n",
"\n",
" if name is not None:\n",
" table.columns.name = name\n",
"\n",
" html = table.to_html(float_format=float_format, formatters=formatters)\n",
"\n",
" if header_rows is not None:\n",
" # Count the number of columns for the text to span\n",
" n_cols = html.split('')[1].split('')[0].count('
')\n",
"\n",
" # Generate the HTML for the extra rows\n",
" rows = ''\n",
" for name, value in header_rows.items():\n",
" rows += ('\\n | %s | ' +\n",
" '%s |
') % (name, n_cols, value)\n",
"\n",
" # Inject the new HTML\n",
" html = html.replace('', '' + rows)\n",
"\n",
" display(HTML(html))\n",
" \n",
" \n",
"# 检验信号与滞后期收益率的相关系数\n",
"def show_corrocef(close_ser:pd.Series,signal:pd.Series,title:str=''):\n",
" \n",
" period = np.arange(1, 32, 1) # 滞后周期间隔\n",
"\n",
" temp = [] # 储存数据\n",
"\n",
" for i in period:\n",
" \n",
" # 收益未来收益与信号的相关系数 pearsonr\n",
" lag_ret = close_ser.pct_change(i).shift(-i)\n",
" \n",
" lag_ret,signal = lag_ret.align(signal,join='inner')\n",
" \n",
" temp.append(\n",
" np.corrcoef(lag_ret.fillna(0), signal.fillna(0))[0][1])\n",
" \n",
" mpl.rcParams['font.family'] = 'serif'\n",
" plt.figure(figsize=(18,4))\n",
" plt.title(title)\n",
" plt.bar(range(len(temp)), temp,width=0.4)\n",
" plt.xticks(range(len(temp)), period)\n",
" plt.show()"
]
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"source": [
"# 交易相关分析指标\n",
"\n",
"# 交易明细\n",
"class tradeAnalyze(object):\n",
" \n",
" def __init__(self,pos:pd.Series,returns:pd.Series)->None:\n",
" \n",
" self.pos = pos\n",
" self.returns = returns\n",
" \n",
" self.order_position = get_order_position(self.pos) # 开平仓信息\n",
" self._hold_ratio = CalcHoldRatio(self.order_position,returns)\n",
" \n",
" def show_all(self)->None:\n",
" '''展示详细信息'''\n",
" print_table(self.hold_ratio,\n",
" formatters = {'Hold_returns':self.myFormat},\n",
" name = '交易明细',\n",
" header_rows={'交易次数':len(self.order_position),\n",
" '持仓总天数':totaldays(self.pos),\n",
" '胜率':self.myFormat(self.win_ratio),\n",
" '日胜率':self.myFormat(self.daily_ratio)})\n",
" \n",
" @property\n",
" def daily_ratio(self)->float:\n",
" '''日胜率'''\n",
" algorithm_ret = self.pos * self.returns\n",
" return CalcWinRatio(algorithm_ret)\n",
" \n",
" @property\n",
" def win_ratio(self)->float:\n",
" '''胜率'''\n",
" return CalcWinRatio(self._hold_ratio)\n",
" \n",
" @property\n",
" def hold_ratio(self)->pd.Series:\n",
" \n",
" holddays = GetHoldDay(self.order_position,self.pos)\n",
" df = pd.concat((self.order_position,holddays,self._hold_ratio),axis=1)\n",
" \n",
" return df\n",
" \n",
" @staticmethod\n",
" def myFormat(x:float)->str:\n",
" \n",
" return '{:.2%}'.format(x)\n",
" \n",
"# 获取开平仓信息\n",
"def get_order_position(pos:pd.Series)->pd.DataFrame:\n",
" \n",
" '''\n",
" pos:1表示持仓,0表示空仓\n",
" -----------\n",
" pos:index-date value-0,1标记\n",
" '''\n",
" from collections import defaultdict\n",
" \n",
" row_num = 0\n",
" last_pos = None\n",
" tradeDict = defaultdict(list)\n",
" \n",
" for trade,value in pos.items():\n",
" \n",
" if last_pos:\n",
" \n",
" if value == 1 and last_pos == 0:\n",
" \n",
" tmp = tradeDict[row_num]\n",
" tmp += [trade]\n",
" \n",
" if value == 0 and last_pos == 1:\n",
" \n",
" tmp = tradeDict[row_num]\n",
" tmp += [trade]\n",
" \n",
" row_num += 1\n",
" \n",
" else:\n",
" \n",
" if value == 0:\n",
" \n",
" pass\n",
" \n",
" else:\n",
" \n",
" tmp = tradeDict[row_num]\n",
" tmp += [trade]\n",
" \n",
" last_pos = value\n",
" \n",
" if len(tradeDict[row_num]) < 2:\n",
" \n",
" tmp = tradeDict[row_num]\n",
" tmp += [np.nan]\n",
" tradeFrame = pd.DataFrame(tradeDict).T\n",
" tradeFrame.columns = ['Buy','Sell']\n",
" \n",
" return tradeFrame\n",
"\n",
"\n",
"# check最后次是否结束\n",
"def checkLastTrade(trade:datetime.date,endDt:pd.Timestamp)->datetime.date:\n",
" ''''''\n",
" \n",
" if isinstance(trade,datetime.date):\n",
" \n",
" return trade\n",
" else:\n",
" \n",
" return endDt\n",
" \n",
" \n",
"# 计算持有胜率\n",
"def CalcHoldRatio(tradeFrame:pd.DataFrame,returns:pd.Series)->pd.Series:\n",
" \n",
" '''计算持有胜率'''\n",
" \n",
" endDt = returns.index[-1]\n",
" holdRatio = tradeFrame.apply(lambda x:returns.loc[x['Buy']:checkLastTrade(x['Sell'],endDt)].sum(),axis=1) \n",
" holdRatio.name = 'Hold_returns'\n",
" return holdRatio\n",
"\n",
"# 持有天数\n",
"def GetHoldDay(tradeFrame:pd.DataFrame,pos:pd.Series)->pd.Series:\n",
" '''持有天数'''\n",
" endDt = returns.index[-1]\n",
" holddays = tradeFrame.apply(lambda x:len(pos.loc[x['Buy']:checkLastTrade(x['Sell'],endDt)]),axis=1)\n",
" holddays.name = 'Hold_days'\n",
" return holddays\n",
"\n",
"# 计算日胜率\n",
"def CalcWinRatio(algorithm_ret:pd.Series)->float:\n",
" \n",
" '''日胜率'''\n",
" return len(algorithm_ret[algorithm_ret > 0]) / len(algorithm_ret)\n",
"\n",
"# 计算持有天数\n",
"def totaldays(pos:pd.Series)->int:\n",
" '''持有天数'''\n",
" return pos.sum()\n",
"\n",
"# 开平仓标记\n",
"def plot_trade_pos(trade_info:tradeAnalyze,benchmark:pd.Series,ax=None):\n",
" \n",
" order_position = trade_info.order_position\n",
" sell_marker = [benchmark.index.get_loc(trade) for trade in order_position['Sell'].dropna()]\n",
" buy_marker = [benchmark.index.get_loc(trade) for trade in order_position['Buy'].dropna()]\n",
" \n",
" if ax is None:\n",
" ax = plt.gca()\n",
" \n",
" ax.plot(benchmark,'o',markevery=sell_marker,color='g',label='Sell')\n",
" ax.plot(benchmark,'o',markevery=buy_marker,color='r',label='Buy')\n",
" \n",
" return ax\n",
"\n"
]
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"source": [
"# 风险指标\n",
"def Strategy_performance(return_df: pd.DataFrame, periods='daily') -> pd.DataFrame:\n",
" '''计算风险指标 默认为日度:日度调仓'''\n",
" \n",
" if isinstance(return_df,pd.Series):\n",
" \n",
" return_df = return_df.to_frame('ret')\n",
" \n",
" ser: pd.DataFrame = pd.DataFrame()\n",
" \n",
" ser['年化收益率'] = ep.annual_return(return_df, period=periods)\n",
" ser['波动率'] = return_df.apply(lambda x: ep.annual_volatility(x,period=periods))\n",
" ser['夏普'] = return_df.apply(ep.sharpe_ratio, period=periods)\n",
" ser['最大回撤'] = return_df.apply(lambda x: ep.max_drawdown(x))\n",
" \n",
" if 'benchmark' in return_df.columns:\n",
"\n",
" select_col = [col for col in return_df.columns if col != 'benchmark']\n",
"\n",
" ser['IR'] = return_df[select_col].apply(\n",
" lambda x: information_ratio(x, return_df['benchmark']))\n",
" ser['Alpha'] = return_df[select_col].apply(\n",
" lambda x: ep.alpha(x, return_df['benchmark'], period=periods))\n",
"\n",
" return ser.T\n",
"\n",
"def information_ratio(returns, factor_returns):\n",
" \"\"\"\n",
" Determines the Information ratio of a strategy.\n",
"\n",
" Parameters\n",
" ----------\n",
" returns : :py:class:`pandas.Series` or pd.DataFrame\n",
" Daily returns of the strategy, noncumulative.\n",
" See full explanation in :func:`~empyrical.stats.cum_returns`.\n",
" factor_returns: :class:`float` / :py:class:`pandas.Series`\n",
" Benchmark return to compare returns against.\n",
"\n",
" Returns\n",
" -------\n",
" :class:`float`\n",
" The information ratio.\n",
"\n",
" Note\n",
" -----\n",
" See https://en.wikipedia.org/wiki/information_ratio for more details.\n",
"\n",
" \"\"\"\n",
" if len(returns) < 2:\n",
" return np.nan\n",
"\n",
" active_return = _adjust_returns(returns, factor_returns)\n",
" tracking_error = np.std(active_return, ddof=1)\n",
" if np.isnan(tracking_error):\n",
" return 0.0\n",
" if tracking_error == 0:\n",
" return np.nan\n",
" return np.mean(active_return) / tracking_error\n",
"\n",
"def _adjust_returns(returns, adjustment_factor):\n",
" \"\"\"\n",
" Returns a new :py:class:`pandas.Series` adjusted by adjustment_factor.\n",
" Optimizes for the case of adjustment_factor being 0.\n",
"\n",
" Parameters\n",
" ----------\n",
" returns : :py:class:`pandas.Series`\n",
" adjustment_factor : :py:class:`pandas.Series` / :class:`float`\n",
"\n",
" Returns\n",
" -------\n",
" :py:class:`pandas.Series`\n",
" \"\"\"\n",
" if isinstance(adjustment_factor, (float, int)) and adjustment_factor == 0:\n",
" return returns.copy()\n",
" return returns - adjustment_factor"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 因子构造"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Fama-French的构造参照[特质波动率因子](https://www.joinquant.com/view/community/detail/6e4ddf0a1cf3bb17367b463cefe3b5e4)中的快速构造法"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"code_folding": [
2,
40,
53,
58,
68
]
},
"outputs": [],
"source": [
"# 特异度因子\n",
"\n",
"class IVR(Factor):\n",
" \n",
" '''特异度因子'''\n",
" \n",
" import warnings\n",
" warnings.filterwarnings(\"ignore\")\n",
" \n",
" name = 'IVR'\n",
" max_window = 22\n",
" dependencies = ['market_cap', 'pb_ratio', 'close']\n",
"\n",
" def calc(self, data):\n",
" \n",
" # 获取bm\n",
" bm_df = 1. / data['pb_ratio']\n",
" # 收益率\n",
" returns = data['close'].pct_change()\n",
" # 分组标记\n",
" market_cap_label = self._add_label(data['market_cap'], 10)\n",
" bm_label = self._add_label(bm_df, 10)\n",
" # 构造因子\n",
" smb = self._calc_longshort(data, market_cap_label, returns, 1, 10)\n",
" hml = self._calc_longshort(data, bm_label, returns, 10, 1)\n",
" mkt = (data['market_cap'].div(data['market_cap'].sum(\n",
" axis=1), axis=0) * returns).sum(axis=1)\n",
"\n",
" # 添加阶矩项项\n",
" exog = sm.add_constant(pd.concat([mkt, smb, hml], axis=1))\n",
" EXOG_COL = ['constant', 'mkt', 'smb', 'hml']\n",
" exog.columns = EXOG_COL\n",
"\n",
" returns = returns.iloc[-(self.max_window - 1):]\n",
" exog = exog.reindex(returns.index) # 日期索引对齐\n",
" # OLS回归获取残差\n",
" \n",
" rsq = returns.apply(self._calc_rsq,exog=exog)\n",
" return 1 - rsq\n",
" \n",
" def _calc_longshort(self, data, label_df: pd.DataFrame, returns: pd.DataFrame, high: int, low: int) -> pd.Series:\n",
" '''计算多空收益 high - low'''\n",
"\n",
" # 计算组合权重\n",
" l_w = self._get_weight(label_df, data['market_cap'], high)\n",
" s_w = self._get_weight(label_df, data['market_cap'], low)\n",
"\n",
" h = (l_w * returns).sum(axis=1)\n",
" l = (s_w * returns).sum(axis=1)\n",
"\n",
" return h - l\n",
"\n",
" @staticmethod\n",
" def _add_label(df: pd.DataFrame, N: int) -> pd.DataFrame:\n",
" '''获取分组 分位数分组(每组数量相同)'''\n",
" return df.apply(lambda x: pd.qcut(x, N, labels=[i for i in range(1, N+1)]), axis=1)\n",
"\n",
" @staticmethod\n",
" def _get_weight(label_df: pd.DataFrame, market_cap: pd.DataFrame, N: int) -> pd.DataFrame:\n",
" '''获取目标组的权重'''\n",
"\n",
" cond = (label_df == N)\n",
" cap = cond * market_cap # 该组市值\n",
"\n",
" return cap.div(cap.sum(axis=1), axis=0)\n",
" \n",
" \n",
" @staticmethod\n",
" def _calc_rsq(returns:pd.Series,exog:pd.DataFrame):\n",
" '''计算R_squared'''\n",
" mod = sm.OLS(returns,exog)\n",
" res = mod.fit()\n",
" \n",
" return res.rsquared"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 数据获取"
]
},
{
"cell_type": "code",
"execution_count": 137,
"metadata": {
"code_folding": [
1
]
},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "66da12f97f554e5cb77feccff5f9454e",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"HBox(children=(IntProgress(value=0, max=17), HTML(value='')))"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# 获取数据\n",
"def prepare_data(symbol:str,startDt:str,endDt:str)->pd.DataFrame:\n",
" \n",
" # 获取沪深300每段的调仓周期\n",
" timeRange = GetPeriodicDate(startDt,endDt)\n",
"\n",
" tmpList = [] # 临时储存容器\n",
"\n",
" for beginDt,endDt in tqdm_notebook(timeRange.get_periods):\n",
"\n",
" stocks = get_index_stocks(symbol,date=endDt) # 获取股票池\n",
" factor_dic = calc_factors(stocks,[IVR()],beginDt,endDt) # 因子获取\n",
" tmpList.append(factor_dic['IVR'])\n",
"\n",
" factor_df = pd.concat(tmpList)\n",
" return factor_df\n",
"\n",
"factor_df = prepare_data('000300.XSHG','2013-01-01','2021-03-17')"
]
},
{
"cell_type": "code",
"execution_count": 138,
"metadata": {},
"outputs": [],
"source": [
"# 数据保存\n",
"factor_df.to_csv('factor_df.csv')"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
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" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" 000001.XSHE 000002.XSHE ... 688012.XSHG 688036.XSHG\n",
"2013-01-04 0.112621 0.618077 ... NaN NaN\n",
"2013-01-07 0.125699 0.615708 ... NaN NaN\n",
"2013-01-08 0.142030 0.644082 ... NaN NaN\n",
"2013-01-09 0.128738 0.622252 ... NaN NaN\n",
"2013-01-10 0.126801 0.544400 ... NaN NaN\n",
"\n",
"[5 rows x 602 columns]"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 读取\n",
"factor_df = pd.read_csv('factor_df.csv',index_col=[0],parse_dates=[0])\n",
"\n",
"# 查看数据结构\n",
"factor_df.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 信号构造\n",
"\n",
"## 构思一:\n",
"\n",
"借用[扩散指标](https://www.joinquant.com/view/community/detail/aa69406f4427ea472b1c640fc2e8c448)的构造方法,\n",
"\n",
"1. 构建数量剪刀差:因子升序分五组,头部组合数量M日移动平均-底部组合数量M日移动平均\n",
"2. 数量剪刀差N日移动平均\n",
"3. 数量剪刀差与第二部的慢均线形成双均线"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"# 每日分组\n",
"rank_df = factor_df.apply(pd.cut,bins=5,labels=['G%s'%i for i in range(1,6)],axis=1)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"code_folding": [
0
]
},
"outputs": [],
"source": [
"bottom_ser = (rank_df == 'G1').sum(axis=1) # \n",
"top_ser = (rank_df == 'G5').sum(axis=1)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"code_folding": [
0
]
},
"outputs": [],
"source": [
"startDt = factor_df.index.min().strftime('%Y-%m-%d')\n",
"endDt = factor_df.index.max().strftime('%Y-%m-%d')\n",
"\n",
"benchmark = get_price('000300.XSHG',startDt,endDt,fields='close',panel=False)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"因子是升序排列,统计G1(low)组和G5(high)每日的数量,数量变化与沪深300走势的关系较为明显。"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"code_folding": [
0
]
},
"outputs": [
{
"data": {
"text/plain": [
"[]"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# 直接统计数量\n",
"plt.rcParams['font.family'] = 'serif'\n",
"fig,axes = plt.subplots(3,figsize=(18,4 * 3))\n",
"\n",
"axes[0].set_title('底部数量')\n",
"axes[0].plot(bottom_ser.rolling(30).mean(),color='Crimson',label='MA30')\n",
"\n",
"axes[1].set_title('顶部数量')\n",
"axes[1].plot(top_ser.rolling(30).mean(),color='Coral',label='MA30')\n",
"\n",
"axes[2].set_title('沪深300指数')\n",
"axes[2].plot(benchmark['close'])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"将两个组合做差,可以看到拐点与指数有一定的预见性。"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"N = 30\n",
"# 信号对数化方便做差\n",
"log_bottom = np.log(talib.EMA(bottom_ser,N))\n",
"log_top = np.log(talib.EMA(top_ser,N))\n",
"\n",
"diff_signal = log_top - log_bottom # 差值\n",
"line = diff_signal.plot(figsize=(18,4),secondary_y=True)\n",
"benchmark['close'].plot(ax=line)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"# 信号双均线\n",
"flag = diff_signal - talib.EMA(diff_signal,10)\n",
"flag = (flag > 0) * 1\n",
"\n",
"next_ret = benchmark['close'].pct_change().shift(-1)\n",
"algorithm_ret = flag * next_ret\n",
"cumRet = 1 + ep.cum_returns(algorithm_ret)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"trade_info = tradeAnalyze(flag,next_ret) # 初始化交易信息\n",
"# 画图\n",
"cumRet.plot(figsize=(18,5),label='净值',title='回测')\n",
"\n",
"(benchmark['close'] / benchmark['close'][0]).plot(color='darkgray',label='HS300')\n",
"\n",
"plot_trade_pos(trade_info,benchmark['close'] / benchmark['close'][0])\n",
"\n",
"plt.legend()"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" \n",
" \n",
" | \n",
" ret | \n",
"
\n",
" \n",
" 年化收益率 | \n",
" 13.15% | \n",
"
\n",
" 波动率 | \n",
" 13.94% | \n",
"
\n",
" 夏普 | \n",
" 95.63% | \n",
"
\n",
" 最大回撤 | \n",
" -23.85% | \n",
"
\n",
"
"
],
"text/plain": [
""
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 风险指标\n",
"Strategy_performance(algorithm_ret,'daily').style.format('{:.2%}')"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
" 交易次数 | 45 |
\n",
" 持仓总天数 | 1047 |
\n",
" 胜率 | 57.78% |
\n",
" 日胜率 | 28.00% |
\n",
" \n",
" 交易明细 | \n",
" Buy | \n",
" Sell | \n",
" Hold_days | \n",
" Hold_returns | \n",
"
\n",
" \n",
" \n",
" \n",
" 0 | \n",
" 2013-04-01 | \n",
" 2013-04-26 | \n",
" 18 | \n",
" -1.63% | \n",
"
\n",
" \n",
" 1 | \n",
" 2013-05-28 | \n",
" 2013-06-17 | \n",
" 12 | \n",
" -8.81% | \n",
"
\n",
" \n",
" 2 | \n",
" 2013-06-20 | \n",
" 2013-06-21 | \n",
" 2 | \n",
" -6.48% | \n",
"
\n",
" \n",
" 3 | \n",
" 2013-08-13 | \n",
" 2013-10-25 | \n",
" 47 | \n",
" 0.59% | \n",
"
\n",
" \n",
" 4 | \n",
" 2013-10-29 | \n",
" 2013-11-15 | \n",
" 14 | \n",
" 2.52% | \n",
"
\n",
" \n",
" 5 | \n",
" 2014-01-03 | \n",
" 2014-01-22 | \n",
" 14 | \n",
" -2.51% | \n",
"
\n",
" \n",
" 6 | \n",
" 2014-02-20 | \n",
" 2014-02-26 | \n",
" 5 | \n",
" -5.94% | \n",
"
\n",
" \n",
" 7 | \n",
" 2014-03-03 | \n",
" 2014-03-24 | \n",
" 16 | \n",
" -0.57% | \n",
"
\n",
" \n",
" 8 | \n",
" 2014-04-11 | \n",
" 2014-04-17 | \n",
" 5 | \n",
" -2.04% | \n",
"
\n",
" \n",
" 9 | \n",
" 2014-04-21 | \n",
" 2014-05-15 | \n",
" 17 | \n",
" -1.85% | \n",
"
\n",
" \n",
" 10 | \n",
" 2014-06-12 | \n",
" 2014-08-11 | \n",
" 43 | \n",
" 9.22% | \n",
"
\n",
" \n",
" 11 | \n",
" 2014-09-01 | \n",
" 2014-09-09 | \n",
" 6 | \n",
" 3.24% | \n",
"
\n",
" \n",
" 12 | \n",
" 2014-09-11 | \n",
" 2014-09-17 | \n",
" 5 | \n",
" -0.59% | \n",
"
\n",
" \n",
" 13 | \n",
" 2014-10-08 | \n",
" 2014-10-16 | \n",
" 7 | \n",
" -1.48% | \n",
"
\n",
" \n",
" 14 | \n",
" 2014-10-23 | \n",
" 2014-11-04 | \n",
" 9 | \n",
" 4.44% | \n",
"
\n",
" \n",
" 15 | \n",
" 2014-11-20 | \n",
" 2014-12-10 | \n",
" 15 | \n",
" 23.22% | \n",
"
\n",
" \n",
" 16 | \n",
" 2015-01-13 | \n",
" 2015-01-20 | \n",
" 6 | \n",
" 1.45% | \n",
"
\n",
" \n",
" 17 | \n",
" 2015-02-26 | \n",
" 2015-05-05 | \n",
" 47 | \n",
" 25.02% | \n",
"
\n",
" \n",
" 18 | \n",
" 2015-10-22 | \n",
" 2015-12-23 | \n",
" 45 | \n",
" 8.90% | \n",
"
\n",
" \n",
" 19 | \n",
" 2015-12-28 | \n",
" 2016-01-06 | \n",
" 7 | \n",
" -11.82% | \n",
"
\n",
" \n",
" 20 | \n",
" 2016-02-29 | \n",
" 2016-03-04 | \n",
" 5 | \n",
" 7.71% | \n",
"
\n",
" \n",
" 21 | \n",
" 2016-03-10 | \n",
" 2016-03-17 | \n",
" 6 | \n",
" 5.17% | \n",
"
\n",
" \n",
" 22 | \n",
" 2016-03-29 | \n",
" 2016-06-14 | \n",
" 52 | \n",
" -0.30% | \n",
"
\n",
" \n",
" 23 | \n",
" 2016-07-12 | \n",
" 2016-08-22 | \n",
" 30 | \n",
" 2.18% | \n",
"
\n",
" \n",
" 24 | \n",
" 2016-08-24 | \n",
" 2016-09-29 | \n",
" 25 | \n",
" -2.27% | \n",
"
\n",
" \n",
" 25 | \n",
" 2016-10-28 | \n",
" 2016-12-15 | \n",
" 35 | \n",
" 0.28% | \n",
"
\n",
" \n",
" 26 | \n",
" 2017-01-12 | \n",
" 2017-03-17 | \n",
" 42 | \n",
" 3.95% | \n",
"
\n",
" \n",
" 27 | \n",
" 2017-03-21 | \n",
" 2017-04-05 | \n",
" 10 | \n",
" 1.39% | \n",
"
\n",
" \n",
" 28 | \n",
" 2017-04-11 | \n",
" 2017-05-25 | \n",
" 32 | \n",
" -1.00% | \n",
"
\n",
" \n",
" 29 | \n",
" 2017-07-07 | \n",
" 2017-07-18 | \n",
" 8 | \n",
" 2.02% | \n",
"
\n",
" \n",
" 30 | \n",
" 2017-08-09 | \n",
" 2017-10-20 | \n",
" 48 | \n",
" 5.29% | \n",
"
\n",
" \n",
" 31 | \n",
" 2018-01-04 | \n",
" 2018-02-05 | \n",
" 23 | \n",
" 0.58% | \n",
"
\n",
" \n",
" 32 | \n",
" 2018-03-21 | \n",
" 2018-03-29 | \n",
" 7 | \n",
" -4.01% | \n",
"
\n",
" \n",
" 33 | \n",
" 2018-05-03 | \n",
" 2018-06-15 | \n",
" 32 | \n",
" -4.43% | \n",
"
\n",
" \n",
" 34 | \n",
" 2018-09-05 | \n",
" 2018-10-11 | \n",
" 21 | \n",
" -3.59% | \n",
"
\n",
" \n",
" 35 | \n",
" 2018-11-19 | \n",
" 2019-02-20 | \n",
" 61 | \n",
" 4.83% | \n",
"
\n",
" \n",
" 36 | \n",
" 2019-04-12 | \n",
" 2019-05-09 | \n",
" 17 | \n",
" -6.31% | \n",
"
\n",
" \n",
" 37 | \n",
" 2019-06-14 | \n",
" 2019-08-22 | \n",
" 50 | \n",
" 4.72% | \n",
"
\n",
" \n",
" 38 | \n",
" 2019-09-03 | \n",
" 2019-10-18 | \n",
" 28 | \n",
" 0.79% | \n",
"
\n",
" \n",
" 39 | \n",
" 2019-10-24 | \n",
" 2019-11-28 | \n",
" 26 | \n",
" -1.02% | \n",
"
\n",
" \n",
" 40 | \n",
" 2019-12-11 | \n",
" 2019-12-18 | \n",
" 6 | \n",
" 3.17% | \n",
"
\n",
" \n",
" 41 | \n",
" 2019-12-25 | \n",
" 2020-01-13 | \n",
" 13 | \n",
" 4.91% | \n",
"
\n",
" \n",
" 42 | \n",
" 2020-04-01 | \n",
" 2020-07-07 | \n",
" 64 | \n",
" 26.64% | \n",
"
\n",
" \n",
" 43 | \n",
" 2020-08-14 | \n",
" 2020-10-12 | \n",
" 36 | \n",
" 3.11% | \n",
"
\n",
" \n",
" 44 | \n",
" 2020-11-04 | \n",
" 2021-02-24 | \n",
" 75 | \n",
" 13.33% | \n",
"
\n",
" \n",
"
"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# 展示交易明细\n",
"trade_info.show_all()"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
" \n",
" Worst drawdown periods | \n",
" Net drawdown in % | \n",
" Peak date | \n",
" Valley date | \n",
" Recovery date | \n",
" Duration | \n",
"
\n",
" \n",
" \n",
" \n",
" 0 | \n",
" 23.85 | \n",
" 2013-04-18 | \n",
" 2014-06-18 | \n",
" 2014-11-28 | \n",
" 422 | \n",
"
\n",
" \n",
" 1 | \n",
" 21.25 | \n",
" 2018-01-23 | \n",
" 2019-01-02 | \n",
" 2020-04-30 | \n",
" 593 | \n",
"
\n",
" \n",
" 2 | \n",
" 8.87 | \n",
" 2015-01-15 | \n",
" 2015-03-05 | \n",
" 2015-03-17 | \n",
" 44 | \n",
"
\n",
" \n",
" 3 | \n",
" 8.87 | \n",
" 2016-04-13 | \n",
" 2016-07-29 | \n",
" 2017-08-25 | \n",
" 358 | \n",
"
\n",
" \n",
" 4 | \n",
" 7.86 | \n",
" 2015-12-29 | \n",
" 2015-12-31 | \n",
" 2016-03-03 | \n",
" 48 | \n",
"
\n",
" \n",
"
"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"[]"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"show_worst_drawdown_periods(algorithm_ret)\n",
"fig,ax = plt.subplots(figsize=(18,4))\n",
"plot_drawdown_periods(algorithm_ret,5,ax)\n",
"ax.plot(benchmark['close'] / benchmark['close'][0],color='darkgray')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 寻找最优参数"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"使用sklearn将上述过程打包,并使用RandomizedSearchCV进行寻参。"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"code_folding": [
8,
16,
20,
39,
45,
55,
65
]
},
"outputs": [],
"source": [
"from sklearn.base import TransformerMixin, BaseEstimator\n",
"from sklearn.model_selection import train_test_split\n",
"from sklearn.pipeline import Pipeline\n",
"from typing import Callable\n",
"\n",
"# 构造趋势指标构建\n",
"class creatSignal_a(TransformerMixin, BaseEstimator):\n",
"\n",
" def __init__(self, creatperiod: int,creatfunc:Callable)->None:\n",
" '''\n",
" createperiod:头部-顶部的数量周期\n",
" creatfunc:均线计算方法函数\n",
" '''\n",
" self.creatperiod = creatperiod\n",
" self.creatfunc = creatfunc\n",
"\n",
" def fit(self, factor_df:pd.Series, returns=None):\n",
"\n",
" return self\n",
"\n",
" def transform(self, factor_df:pd.DataFrame)->pd.Series:\n",
"\n",
" # 每日分组\n",
" rank_df = factor_df.apply(pd.cut,bins=5,labels=['G%s'%i for i in range(1,6)],axis=1)\n",
" \n",
" bottom_ser = (rank_df == 'G1').sum(axis=1) \n",
" top_ser = (rank_df == 'G5').sum(axis=1)\n",
" \n",
" log_bottom = np.log(self.creatfunc(bottom_ser,self.creatperiod))\n",
" log_top = np.log(self.creatfunc(top_ser,self.creatperiod))\n",
"\n",
" diff_signal = log_top - log_bottom # 差值\n",
" \n",
" return diff_signal.dropna()\n",
"\n",
" \n",
"# 策略构建\n",
"class AlgorthmStrategy_a(BaseEstimator):\n",
"\n",
" def __init__(self, window:int,mafunc:Callable)->None:\n",
"\n",
" self.window = window\n",
" self.mafunc = mafunc\n",
" \n",
" # 策略是如何训练的\n",
" def fit(self, signal:pd.Series, returns:pd.Series)->pd.Series:\n",
" '''\n",
" signal:信号数据\n",
" returns:收益数据\n",
" '''\n",
" idx = signal.index\n",
" algorithm_ret = self.predict(signal) * returns.shift(-1).reindex(idx)\n",
" return algorithm_ret.dropna()\n",
"\n",
" # 策略如何进行信号生成\n",
" def predict(self, signal:pd.Series)->pd.Series:\n",
" \n",
" '''singal:信号数据'''\n",
" \n",
" longSignal = self.mafunc(signal,self.window)\n",
" diffSeries = signal - longSignal # 双均线信号\n",
" \n",
" return (diffSeries > 0) * 1\n",
"\n",
" # 如何判断策略是优是劣质\n",
" def score(self, signal:pd.Series, returns:pd.Series)->float:\n",
" '''本质上是设置一个目标函数'''\n",
" ret = self.fit(signal, returns)\n",
"\n",
" # 优化指标为: 卡玛比率 + 夏普\n",
" # 分数越大越好\n",
" \n",
" risk = ep.calmar_ratio(ret) + ep.sharpe_ratio(ret)\n",
" \n",
" return risk"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Fitting 3 folds for each of 100 candidates, totalling 300 fits\n",
"[CV] backtesting__window=40, creatSignal__creatperiod=95 .............\n",
"[CV] backtesting__window=40, creatSignal__creatperiod=95 .............\n",
"[CV] backtesting__window=40, creatSignal__creatperiod=95 .............\n",
"[CV] backtesting__window=40, creatSignal__creatperiod=95, total= 4.9s\n",
"[CV] backtesting__window=16, creatSignal__creatperiod=109 ............\n",
"[CV] backtesting__window=40, creatSignal__creatperiod=95, total= 4.9s\n",
"[CV] backtesting__window=16, creatSignal__creatperiod=109 ............\n",
"[CV] backtesting__window=40, creatSignal__creatperiod=95, total= 5.2s\n",
"[CV] backtesting__window=16, creatSignal__creatperiod=109 ............\n",
"[CV] backtesting__window=16, creatSignal__creatperiod=109, total= 5.2s\n",
"[CV] backtesting__window=9, creatSignal__creatperiod=23 ..............\n",
"[CV] backtesting__window=16, creatSignal__creatperiod=109, total= 5.1s\n",
"[CV] backtesting__window=9, creatSignal__creatperiod=23 ..............\n",
"[CV] backtesting__window=16, creatSignal__creatperiod=109, total= 4.9s\n",
"[CV] backtesting__window=9, creatSignal__creatperiod=23 ..............\n",
"[CV] backtesting__window=9, creatSignal__creatperiod=23, total= 5.2s\n",
"[CV] backtesting__window=40, creatSignal__creatperiod=124 ............\n",
"[CV] backtesting__window=9, creatSignal__creatperiod=23, total= 4.8s\n",
"[CV] backtesting__window=40, creatSignal__creatperiod=124 ............\n",
"[CV] backtesting__window=9, creatSignal__creatperiod=23, total= 5.2s\n",
"[CV] backtesting__window=40, creatSignal__creatperiod=124 ............\n",
"[CV] backtesting__window=40, creatSignal__creatperiod=124, total= 5.0s\n",
"[CV] backtesting__window=20, creatSignal__creatperiod=77 .............\n",
"[CV] backtesting__window=40, creatSignal__creatperiod=124, total= 5.1s\n",
"[CV] backtesting__window=20, creatSignal__creatperiod=77 .............\n",
"[CV] backtesting__window=40, creatSignal__creatperiod=124, total= 5.2s\n",
"[CV] backtesting__window=20, creatSignal__creatperiod=77 .............\n",
"[CV] backtesting__window=20, creatSignal__creatperiod=77, total= 4.8s\n",
"[CV] backtesting__window=12, creatSignal__creatperiod=90 .............\n",
"[CV] backtesting__window=20, creatSignal__creatperiod=77, total= 5.0s\n",
"[CV] backtesting__window=12, creatSignal__creatperiod=90 .............\n",
"[CV] backtesting__window=20, creatSignal__creatperiod=77, total= 5.1s\n",
"[CV] backtesting__window=12, creatSignal__creatperiod=90 .............\n",
"[CV] backtesting__window=12, creatSignal__creatperiod=90, total= 5.1s\n",
"[CV] backtesting__window=54, creatSignal__creatperiod=102 ............\n",
"[CV] backtesting__window=12, creatSignal__creatperiod=90, total= 4.9s\n",
"[CV] backtesting__window=54, creatSignal__creatperiod=102 ............\n",
"[CV] backtesting__window=12, creatSignal__creatperiod=90, total= 4.9s\n",
"[CV] backtesting__window=54, creatSignal__creatperiod=102 ............\n",
"[CV] backtesting__window=54, creatSignal__creatperiod=102, total= 5.1s\n",
"[CV] backtesting__window=41, creatSignal__creatperiod=133 ............\n",
"[CV] backtesting__window=54, creatSignal__creatperiod=102, total= 4.9s\n",
"[CV] backtesting__window=41, creatSignal__creatperiod=133 ............\n",
"[CV] backtesting__window=54, creatSignal__creatperiod=102, total= 5.1s\n",
"[CV] backtesting__window=41, creatSignal__creatperiod=133 ............\n",
"[CV] backtesting__window=41, creatSignal__creatperiod=133, total= 4.8s\n",
"[CV] backtesting__window=23, creatSignal__creatperiod=55 .............\n",
"[CV] backtesting__window=41, creatSignal__creatperiod=133, total= 4.9s\n",
"[CV] backtesting__window=23, creatSignal__creatperiod=55 .............\n",
"[CV] backtesting__window=41, creatSignal__creatperiod=133, total= 5.4s\n",
"[CV] backtesting__window=23, creatSignal__creatperiod=55 .............\n",
"[CV] backtesting__window=23, creatSignal__creatperiod=55, total= 5.0s\n",
"[CV] backtesting__window=3, creatSignal__creatperiod=90 ..............\n",
"[CV] backtesting__window=23, creatSignal__creatperiod=55, total= 4.9s\n",
"[CV] backtesting__window=3, creatSignal__creatperiod=90 ..............\n",
"[CV] backtesting__window=23, creatSignal__creatperiod=55, total= 5.0s\n",
"[CV] backtesting__window=3, creatSignal__creatperiod=90 ..............\n",
"[CV] backtesting__window=3, creatSignal__creatperiod=90, total= 4.8s\n",
"[CV] backtesting__window=45, creatSignal__creatperiod=40 .............\n",
"[CV] backtesting__window=3, creatSignal__creatperiod=90, total= 5.0s\n",
"[CV] backtesting__window=45, creatSignal__creatperiod=40 .............\n",
"[CV] backtesting__window=3, creatSignal__creatperiod=90, total= 4.8s\n",
"[CV] backtesting__window=45, creatSignal__creatperiod=40 .............\n",
"[CV] backtesting__window=45, creatSignal__creatperiod=40, total= 5.1s\n",
"[CV] backtesting__window=3, creatSignal__creatperiod=23 ..............\n",
"[CV] backtesting__window=45, creatSignal__creatperiod=40, total= 5.0s\n",
"[CV] backtesting__window=3, creatSignal__creatperiod=23 ..............\n",
"[CV] backtesting__window=45, creatSignal__creatperiod=40, total= 4.8s\n",
"[CV] backtesting__window=3, creatSignal__creatperiod=23 ..............\n",
"[CV] backtesting__window=3, creatSignal__creatperiod=23, total= 5.2s\n",
"[CV] backtesting__window=34, creatSignal__creatperiod=60 .............\n",
"[CV] backtesting__window=3, creatSignal__creatperiod=23, total= 5.0s\n",
"[CV] backtesting__window=34, creatSignal__creatperiod=60 .............\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"[Parallel(n_jobs=3)]: Done 35 tasks | elapsed: 1.7min\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"[CV] backtesting__window=3, creatSignal__creatperiod=23, total= 5.3s\n",
"[CV] backtesting__window=34, creatSignal__creatperiod=60 .............\n",
"[CV] backtesting__window=34, creatSignal__creatperiod=60, total= 4.9s\n",
"[CV] backtesting__window=23, creatSignal__creatperiod=91 .............\n",
"[CV] backtesting__window=34, creatSignal__creatperiod=60, total= 5.1s\n",
"[CV] backtesting__window=23, creatSignal__creatperiod=91 .............\n",
"[CV] backtesting__window=34, creatSignal__creatperiod=60, total= 5.0s\n",
"[CV] backtesting__window=23, creatSignal__creatperiod=91 .............\n",
"[CV] backtesting__window=23, creatSignal__creatperiod=91, total= 4.9s\n",
"[CV] backtesting__window=50, creatSignal__creatperiod=61 .............\n",
"[CV] backtesting__window=23, creatSignal__creatperiod=91, total= 4.9s\n",
"[CV] backtesting__window=50, creatSignal__creatperiod=61 .............\n",
"[CV] backtesting__window=23, creatSignal__creatperiod=91, total= 4.9s\n",
"[CV] backtesting__window=50, creatSignal__creatperiod=61 .............\n",
"[CV] backtesting__window=50, creatSignal__creatperiod=61, total= 4.8s\n",
"[CV] backtesting__window=43, creatSignal__creatperiod=17 .............\n",
"[CV] backtesting__window=50, creatSignal__creatperiod=61, total= 5.1s\n",
"[CV] backtesting__window=43, creatSignal__creatperiod=17 .............\n",
"[CV] backtesting__window=50, creatSignal__creatperiod=61, total= 5.0s\n",
"[CV] backtesting__window=43, creatSignal__creatperiod=17 .............\n",
"[CV] backtesting__window=43, creatSignal__creatperiod=17, total= 4.8s\n",
"[CV] backtesting__window=48, creatSignal__creatperiod=53 .............\n",
"[CV] backtesting__window=43, creatSignal__creatperiod=17, total= 5.1s\n",
"[CV] backtesting__window=48, creatSignal__creatperiod=53 .............\n",
"[CV] backtesting__window=43, creatSignal__creatperiod=17, total= 5.0s\n",
"[CV] backtesting__window=48, creatSignal__creatperiod=53 .............\n",
"[CV] backtesting__window=48, creatSignal__creatperiod=53, total= 4.9s\n",
"[CV] backtesting__window=45, creatSignal__creatperiod=57 .............\n",
"[CV] backtesting__window=48, creatSignal__creatperiod=53, total= 4.9s\n",
"[CV] backtesting__window=45, creatSignal__creatperiod=57 .............\n",
"[CV] backtesting__window=48, creatSignal__creatperiod=53, total= 4.9s\n",
"[CV] backtesting__window=45, creatSignal__creatperiod=57 .............\n",
"[CV] backtesting__window=45, creatSignal__creatperiod=57, total= 4.8s\n",
"[CV] backtesting__window=53, creatSignal__creatperiod=66 .............\n",
"[CV] backtesting__window=45, creatSignal__creatperiod=57, total= 5.0s\n",
"[CV] backtesting__window=53, creatSignal__creatperiod=66 .............\n",
"[CV] backtesting__window=45, creatSignal__creatperiod=57, total= 4.9s\n",
"[CV] backtesting__window=53, creatSignal__creatperiod=66 .............\n",
"[CV] backtesting__window=53, creatSignal__creatperiod=66, total= 5.0s\n",
"[CV] backtesting__window=58, creatSignal__creatperiod=133 ............\n",
"[CV] backtesting__window=53, creatSignal__creatperiod=66, total= 5.1s\n",
"[CV] backtesting__window=58, creatSignal__creatperiod=133 ............\n",
"[CV] backtesting__window=53, creatSignal__creatperiod=66, total= 4.9s\n",
"[CV] backtesting__window=58, creatSignal__creatperiod=133 ............\n",
"[CV] backtesting__window=58, creatSignal__creatperiod=133, total= 4.8s\n",
"[CV] backtesting__window=38, creatSignal__creatperiod=53 .............\n",
"[CV] backtesting__window=58, creatSignal__creatperiod=133, total= 5.0s\n",
"[CV] backtesting__window=38, creatSignal__creatperiod=53 .............\n",
"[CV] backtesting__window=58, creatSignal__creatperiod=133, total= 5.0s\n",
"[CV] backtesting__window=38, creatSignal__creatperiod=53 .............\n",
"[CV] backtesting__window=38, creatSignal__creatperiod=53, total= 5.0s\n",
"[CV] backtesting__window=8, creatSignal__creatperiod=23 ..............\n",
"[CV] backtesting__window=38, creatSignal__creatperiod=53, total= 5.0s\n",
"[CV] backtesting__window=8, creatSignal__creatperiod=23 ..............\n",
"[CV] backtesting__window=38, creatSignal__creatperiod=53, total= 5.0s\n",
"[CV] backtesting__window=8, creatSignal__creatperiod=23 ..............\n",
"[CV] backtesting__window=8, creatSignal__creatperiod=23, total= 5.0s\n",
"[CV] backtesting__window=10, creatSignal__creatperiod=20 .............\n",
"[CV] backtesting__window=8, creatSignal__creatperiod=23, total= 5.2s\n",
"[CV] backtesting__window=10, creatSignal__creatperiod=20 .............\n",
"[CV] backtesting__window=8, creatSignal__creatperiod=23, total= 5.3s\n",
"[CV] backtesting__window=10, creatSignal__creatperiod=20 .............\n",
"[CV] backtesting__window=10, creatSignal__creatperiod=20, total= 5.2s\n",
"[CV] backtesting__window=5, creatSignal__creatperiod=91 ..............\n",
"[CV] backtesting__window=10, creatSignal__creatperiod=20, total= 5.0s\n",
"[CV] backtesting__window=5, creatSignal__creatperiod=91 ..............\n",
"[CV] backtesting__window=10, creatSignal__creatperiod=20, total= 5.0s\n",
"[CV] backtesting__window=5, creatSignal__creatperiod=91 ..............\n",
"[CV] backtesting__window=5, creatSignal__creatperiod=91, total= 5.1s\n",
"[CV] backtesting__window=15, creatSignal__creatperiod=11 .............\n",
"[CV] backtesting__window=5, creatSignal__creatperiod=91, total= 5.0s\n",
"[CV] backtesting__window=15, creatSignal__creatperiod=11 .............\n",
"[CV] backtesting__window=5, creatSignal__creatperiod=91, total= 4.9s\n",
"[CV] backtesting__window=15, creatSignal__creatperiod=11 .............\n",
"[CV] backtesting__window=15, creatSignal__creatperiod=11, total= 5.1s\n",
"[CV] backtesting__window=27, creatSignal__creatperiod=55 .............\n",
"[CV] backtesting__window=15, creatSignal__creatperiod=11, total= 5.0s\n",
"[CV] backtesting__window=27, creatSignal__creatperiod=55 .............\n",
"[CV] backtesting__window=15, creatSignal__creatperiod=11, total= 5.0s\n",
"[CV] backtesting__window=27, creatSignal__creatperiod=55 .............\n",
"[CV] backtesting__window=27, creatSignal__creatperiod=55, total= 4.9s\n",
"[CV] backtesting__window=3, creatSignal__creatperiod=86 ..............\n",
"[CV] backtesting__window=27, creatSignal__creatperiod=55, total= 5.0s\n",
"[CV] backtesting__window=3, creatSignal__creatperiod=86 ..............\n",
"[CV] backtesting__window=27, creatSignal__creatperiod=55, total= 5.2s\n",
"[CV] backtesting__window=3, creatSignal__creatperiod=86 ..............\n",
"[CV] backtesting__window=3, creatSignal__creatperiod=86, total= 5.4s\n",
"[CV] backtesting__window=29, creatSignal__creatperiod=113 ............\n",
"[CV] backtesting__window=3, creatSignal__creatperiod=86, total= 5.6s\n",
"[CV] backtesting__window=29, creatSignal__creatperiod=113 ............\n",
"[CV] backtesting__window=3, creatSignal__creatperiod=86, total= 5.0s\n",
"[CV] backtesting__window=29, creatSignal__creatperiod=113 ............\n",
"[CV] backtesting__window=29, creatSignal__creatperiod=113, total= 5.0s\n",
"[CV] backtesting__window=8, creatSignal__creatperiod=10 ..............\n",
"[CV] backtesting__window=29, creatSignal__creatperiod=113, total= 5.3s\n",
"[CV] backtesting__window=8, creatSignal__creatperiod=10 ..............\n",
"[CV] backtesting__window=29, creatSignal__creatperiod=113, total= 5.0s\n",
"[CV] backtesting__window=8, creatSignal__creatperiod=10 ..............\n",
"[CV] backtesting__window=8, creatSignal__creatperiod=10, total= 4.9s\n",
"[CV] backtesting__window=48, creatSignal__creatperiod=37 .............\n",
"[CV] backtesting__window=8, creatSignal__creatperiod=10, total= 4.8s\n",
"[CV] backtesting__window=48, creatSignal__creatperiod=37 .............\n",
"[CV] backtesting__window=8, creatSignal__creatperiod=10, total= 4.9s\n",
"[CV] backtesting__window=48, creatSignal__creatperiod=37 .............\n",
"[CV] backtesting__window=48, creatSignal__creatperiod=37, total= 4.8s\n",
"[CV] backtesting__window=15, creatSignal__creatperiod=83 .............\n",
"[CV] backtesting__window=48, creatSignal__creatperiod=37, total= 4.7s\n",
"[CV] backtesting__window=15, creatSignal__creatperiod=83 .............\n",
"[CV] backtesting__window=48, creatSignal__creatperiod=37, total= 5.0s\n",
"[CV] backtesting__window=15, creatSignal__creatperiod=83 .............\n",
"[CV] backtesting__window=15, creatSignal__creatperiod=83, total= 5.0s\n",
"[CV] backtesting__window=37, creatSignal__creatperiod=52 .............\n",
"[CV] backtesting__window=15, creatSignal__creatperiod=83, total= 5.0s\n",
"[CV] backtesting__window=37, creatSignal__creatperiod=52 .............\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"[CV] backtesting__window=15, creatSignal__creatperiod=83, total= 4.9s\n",
"[CV] backtesting__window=37, creatSignal__creatperiod=52 .............\n",
"[CV] backtesting__window=37, creatSignal__creatperiod=52, total= 5.0s\n",
"[CV] backtesting__window=41, creatSignal__creatperiod=134 ............\n",
"[CV] backtesting__window=37, creatSignal__creatperiod=52, total= 4.8s\n",
"[CV] backtesting__window=41, creatSignal__creatperiod=134 ............\n",
"[CV] backtesting__window=37, creatSignal__creatperiod=52, total= 5.0s\n",
"[CV] backtesting__window=41, creatSignal__creatperiod=134 ............\n",
"[CV] backtesting__window=41, creatSignal__creatperiod=134, total= 4.8s\n",
"[CV] backtesting__window=3, creatSignal__creatperiod=136 .............\n",
"[CV] backtesting__window=41, creatSignal__creatperiod=134, total= 4.7s\n",
"[CV] backtesting__window=3, creatSignal__creatperiod=136 .............\n",
"[CV] backtesting__window=41, creatSignal__creatperiod=134, total= 4.8s\n",
"[CV] backtesting__window=3, creatSignal__creatperiod=136 .............\n",
"[CV] backtesting__window=3, creatSignal__creatperiod=136, total= 4.8s\n",
"[CV] backtesting__window=55, creatSignal__creatperiod=108 ............\n",
"[CV] backtesting__window=3, creatSignal__creatperiod=136, total= 4.9s\n",
"[CV] backtesting__window=55, creatSignal__creatperiod=108 ............\n",
"[CV] backtesting__window=3, creatSignal__creatperiod=136, total= 4.7s\n",
"[CV] backtesting__window=55, creatSignal__creatperiod=108 ............\n",
"[CV] backtesting__window=55, creatSignal__creatperiod=108, total= 5.2s\n",
"[CV] backtesting__window=5, creatSignal__creatperiod=56 ..............\n",
"[CV] backtesting__window=55, creatSignal__creatperiod=108, total= 5.0s\n",
"[CV] backtesting__window=5, creatSignal__creatperiod=56 ..............\n",
"[CV] backtesting__window=55, creatSignal__creatperiod=108, total= 4.9s\n",
"[CV] backtesting__window=5, creatSignal__creatperiod=56 ..............\n",
"[CV] backtesting__window=5, creatSignal__creatperiod=56, total= 5.0s\n",
"[CV] backtesting__window=30, creatSignal__creatperiod=148 ............\n",
"[CV] backtesting__window=5, creatSignal__creatperiod=56, total= 5.1s\n",
"[CV] backtesting__window=30, creatSignal__creatperiod=148 ............\n",
"[CV] backtesting__window=5, creatSignal__creatperiod=56, total= 4.9s\n",
"[CV] backtesting__window=30, creatSignal__creatperiod=148 ............\n",
"[CV] backtesting__window=30, creatSignal__creatperiod=148, total= 4.7s\n",
"[CV] backtesting__window=27, creatSignal__creatperiod=46 .............\n",
"[CV] backtesting__window=30, creatSignal__creatperiod=148, total= 4.9s\n",
"[CV] backtesting__window=27, creatSignal__creatperiod=46 .............\n",
"[CV] backtesting__window=30, creatSignal__creatperiod=148, total= 4.9s\n",
"[CV] backtesting__window=27, creatSignal__creatperiod=46 .............\n",
"[CV] backtesting__window=27, creatSignal__creatperiod=46, total= 4.9s\n",
"[CV] backtesting__window=35, creatSignal__creatperiod=16 .............\n",
"[CV] backtesting__window=27, creatSignal__creatperiod=46, total= 5.1s\n",
"[CV] backtesting__window=35, creatSignal__creatperiod=16 .............\n",
"[CV] backtesting__window=27, creatSignal__creatperiod=46, total= 5.0s\n",
"[CV] backtesting__window=35, creatSignal__creatperiod=16 .............\n",
"[CV] backtesting__window=35, creatSignal__creatperiod=16, total= 5.1s\n",
"[CV] backtesting__window=32, creatSignal__creatperiod=50 .............\n",
"[CV] backtesting__window=35, creatSignal__creatperiod=16, total= 5.0s\n",
"[CV] backtesting__window=32, creatSignal__creatperiod=50 .............\n",
"[CV] backtesting__window=35, creatSignal__creatperiod=16, total= 5.1s\n",
"[CV] backtesting__window=32, creatSignal__creatperiod=50 .............\n",
"[CV] backtesting__window=32, creatSignal__creatperiod=50, total= 4.9s\n",
"[CV] backtesting__window=16, creatSignal__creatperiod=42 .............\n",
"[CV] backtesting__window=32, creatSignal__creatperiod=50, total= 5.5s\n",
"[CV] backtesting__window=16, creatSignal__creatperiod=42 .............\n",
"[CV] backtesting__window=32, creatSignal__creatperiod=50, total= 5.1s\n",
"[CV] backtesting__window=16, creatSignal__creatperiod=42 .............\n",
"[CV] backtesting__window=16, creatSignal__creatperiod=42, total= 5.0s\n",
"[CV] backtesting__window=22, creatSignal__creatperiod=84 .............\n",
"[CV] backtesting__window=16, creatSignal__creatperiod=42, total= 5.1s\n",
"[CV] backtesting__window=22, creatSignal__creatperiod=84 .............\n",
"[CV] backtesting__window=16, creatSignal__creatperiod=42, total= 4.9s\n",
"[CV] backtesting__window=22, creatSignal__creatperiod=84 .............\n",
"[CV] backtesting__window=22, creatSignal__creatperiod=84, total= 5.1s\n",
"[CV] backtesting__window=48, creatSignal__creatperiod=55 .............\n",
"[CV] backtesting__window=22, creatSignal__creatperiod=84, total= 4.9s\n",
"[CV] backtesting__window=48, creatSignal__creatperiod=55 .............\n",
"[CV] backtesting__window=22, creatSignal__creatperiod=84, total= 5.0s\n",
"[CV] backtesting__window=48, creatSignal__creatperiod=55 .............\n",
"[CV] backtesting__window=48, creatSignal__creatperiod=55, total= 5.2s\n",
"[CV] backtesting__window=25, creatSignal__creatperiod=126 ............\n",
"[CV] backtesting__window=48, creatSignal__creatperiod=55, total= 5.0s\n",
"[CV] backtesting__window=25, creatSignal__creatperiod=126 ............\n",
"[CV] backtesting__window=48, creatSignal__creatperiod=55, total= 5.0s\n",
"[CV] backtesting__window=25, creatSignal__creatperiod=126 ............\n",
"[CV] backtesting__window=25, creatSignal__creatperiod=126, total= 5.2s\n",
"[CV] backtesting__window=46, creatSignal__creatperiod=43 .............\n",
"[CV] backtesting__window=25, creatSignal__creatperiod=126, total= 5.0s\n",
"[CV] backtesting__window=46, creatSignal__creatperiod=43 .............\n",
"[CV] backtesting__window=25, creatSignal__creatperiod=126, total= 5.2s\n",
"[CV] backtesting__window=46, creatSignal__creatperiod=43 .............\n",
"[CV] backtesting__window=46, creatSignal__creatperiod=43, total= 5.3s\n",
"[CV] backtesting__window=30, creatSignal__creatperiod=17 .............\n",
"[CV] backtesting__window=46, creatSignal__creatperiod=43, total= 5.0s\n",
"[CV] backtesting__window=30, creatSignal__creatperiod=17 .............\n",
"[CV] backtesting__window=46, creatSignal__creatperiod=43, total= 5.1s\n",
"[CV] backtesting__window=30, creatSignal__creatperiod=17 .............\n",
"[CV] backtesting__window=30, creatSignal__creatperiod=17, total= 4.9s\n",
"[CV] backtesting__window=46, creatSignal__creatperiod=67 .............\n",
"[CV] backtesting__window=30, creatSignal__creatperiod=17, total= 5.1s\n",
"[CV] backtesting__window=46, creatSignal__creatperiod=67 .............\n",
"[CV] backtesting__window=30, creatSignal__creatperiod=17, total= 5.6s\n",
"[CV] backtesting__window=46, creatSignal__creatperiod=67 .............\n",
"[CV] backtesting__window=46, creatSignal__creatperiod=67, total= 5.0s\n",
"[CV] backtesting__window=26, creatSignal__creatperiod=73 .............\n",
"[CV] backtesting__window=46, creatSignal__creatperiod=67, total= 5.2s\n",
"[CV] backtesting__window=26, creatSignal__creatperiod=73 .............\n",
"[CV] backtesting__window=46, creatSignal__creatperiod=67, total= 5.5s\n",
"[CV] backtesting__window=26, creatSignal__creatperiod=73 .............\n",
"[CV] backtesting__window=26, creatSignal__creatperiod=73, total= 5.6s\n",
"[CV] backtesting__window=10, creatSignal__creatperiod=90 .............\n",
"[CV] backtesting__window=26, creatSignal__creatperiod=73, total= 5.1s\n",
"[CV] backtesting__window=10, creatSignal__creatperiod=90 .............\n",
"[CV] backtesting__window=26, creatSignal__creatperiod=73, total= 4.9s\n",
"[CV] backtesting__window=10, creatSignal__creatperiod=90 .............\n",
"[CV] backtesting__window=10, creatSignal__creatperiod=90, total= 5.0s\n",
"[CV] backtesting__window=2, creatSignal__creatperiod=138 .............\n",
"[CV] backtesting__window=10, creatSignal__creatperiod=90, total= 5.3s\n",
"[CV] backtesting__window=2, creatSignal__creatperiod=138 .............\n",
"[CV] backtesting__window=10, creatSignal__creatperiod=90, total= 5.1s\n",
"[CV] backtesting__window=2, creatSignal__creatperiod=138 .............\n",
"[CV] backtesting__window=2, creatSignal__creatperiod=138, total= 5.0s\n",
"[CV] backtesting__window=25, creatSignal__creatperiod=65 .............\n",
"[CV] backtesting__window=2, creatSignal__creatperiod=138, total= 5.0s\n",
"[CV] backtesting__window=25, creatSignal__creatperiod=65 .............\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"[CV] backtesting__window=2, creatSignal__creatperiod=138, total= 4.9s\n",
"[CV] backtesting__window=25, creatSignal__creatperiod=65 .............\n",
"[CV] backtesting__window=25, creatSignal__creatperiod=65, total= 5.0s\n",
"[CV] backtesting__window=12, creatSignal__creatperiod=83 .............\n",
"[CV] backtesting__window=25, creatSignal__creatperiod=65, total= 5.1s\n",
"[CV] backtesting__window=12, creatSignal__creatperiod=83 .............\n",
"[CV] backtesting__window=25, creatSignal__creatperiod=65, total= 4.9s\n",
"[CV] backtesting__window=12, creatSignal__creatperiod=83 .............\n",
"[CV] backtesting__window=12, creatSignal__creatperiod=83, total= 4.9s\n",
"[CV] backtesting__window=9, creatSignal__creatperiod=35 ..............\n",
"[CV] backtesting__window=12, creatSignal__creatperiod=83, total= 5.2s\n",
"[CV] backtesting__window=9, creatSignal__creatperiod=35 ..............\n",
"[CV] backtesting__window=12, creatSignal__creatperiod=83, total= 5.0s\n",
"[CV] backtesting__window=9, creatSignal__creatperiod=35 ..............\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"[Parallel(n_jobs=3)]: Done 156 tasks | elapsed: 7.3min\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"[CV] backtesting__window=9, creatSignal__creatperiod=35, total= 5.2s\n",
"[CV] backtesting__window=6, creatSignal__creatperiod=43 ..............\n",
"[CV] backtesting__window=9, creatSignal__creatperiod=35, total= 5.1s\n",
"[CV] backtesting__window=6, creatSignal__creatperiod=43 ..............\n",
"[CV] backtesting__window=9, creatSignal__creatperiod=35, total= 5.0s\n",
"[CV] backtesting__window=6, creatSignal__creatperiod=43 ..............\n",
"[CV] backtesting__window=6, creatSignal__creatperiod=43, total= 5.1s\n",
"[CV] backtesting__window=29, creatSignal__creatperiod=137 ............\n",
"[CV] backtesting__window=6, creatSignal__creatperiod=43, total= 5.1s\n",
"[CV] backtesting__window=29, creatSignal__creatperiod=137 ............\n",
"[CV] backtesting__window=6, creatSignal__creatperiod=43, total= 4.9s\n",
"[CV] backtesting__window=29, creatSignal__creatperiod=137 ............\n",
"[CV] backtesting__window=29, creatSignal__creatperiod=137, total= 5.0s\n",
"[CV] backtesting__window=10, creatSignal__creatperiod=74 .............\n",
"[CV] backtesting__window=29, creatSignal__creatperiod=137, total= 5.0s\n",
"[CV] backtesting__window=10, creatSignal__creatperiod=74 .............\n",
"[CV] backtesting__window=29, creatSignal__creatperiod=137, total= 5.0s\n",
"[CV] backtesting__window=10, creatSignal__creatperiod=74 .............\n",
"[CV] backtesting__window=10, creatSignal__creatperiod=74, total= 4.7s\n",
"[CV] backtesting__window=13, creatSignal__creatperiod=35 .............\n",
"[CV] backtesting__window=10, creatSignal__creatperiod=74, total= 4.9s\n",
"[CV] backtesting__window=13, creatSignal__creatperiod=35 .............\n",
"[CV] backtesting__window=10, creatSignal__creatperiod=74, total= 4.9s\n",
"[CV] backtesting__window=13, creatSignal__creatperiod=35 .............\n",
"[CV] backtesting__window=13, creatSignal__creatperiod=35, total= 5.1s\n",
"[CV] backtesting__window=49, creatSignal__creatperiod=64 .............\n",
"[CV] backtesting__window=13, creatSignal__creatperiod=35, total= 4.9s\n",
"[CV] backtesting__window=49, creatSignal__creatperiod=64 .............\n",
"[CV] backtesting__window=13, creatSignal__creatperiod=35, total= 4.7s\n",
"[CV] backtesting__window=49, creatSignal__creatperiod=64 .............\n",
"[CV] backtesting__window=49, creatSignal__creatperiod=64, total= 4.8s\n",
"[CV] backtesting__window=25, creatSignal__creatperiod=39 .............\n",
"[CV] backtesting__window=49, creatSignal__creatperiod=64, total= 4.8s\n",
"[CV] backtesting__window=25, creatSignal__creatperiod=39 .............\n",
"[CV] backtesting__window=49, creatSignal__creatperiod=64, total= 4.9s\n",
"[CV] backtesting__window=25, creatSignal__creatperiod=39 .............\n",
"[CV] backtesting__window=25, creatSignal__creatperiod=39, total= 5.0s\n",
"[CV] backtesting__window=36, creatSignal__creatperiod=106 ............\n",
"[CV] backtesting__window=25, creatSignal__creatperiod=39, total= 4.9s\n",
"[CV] backtesting__window=36, creatSignal__creatperiod=106 ............\n",
"[CV] backtesting__window=25, creatSignal__creatperiod=39, total= 4.8s\n",
"[CV] backtesting__window=36, creatSignal__creatperiod=106 ............\n",
"[CV] backtesting__window=36, creatSignal__creatperiod=106, total= 5.0s\n",
"[CV] backtesting__window=23, creatSignal__creatperiod=37 .............\n",
"[CV] backtesting__window=36, creatSignal__creatperiod=106, total= 5.0s\n",
"[CV] backtesting__window=23, creatSignal__creatperiod=37 .............\n",
"[CV] backtesting__window=36, creatSignal__creatperiod=106, total= 5.2s\n",
"[CV] backtesting__window=23, creatSignal__creatperiod=37 .............\n",
"[CV] backtesting__window=23, creatSignal__creatperiod=37, total= 4.9s\n",
"[CV] backtesting__window=2, creatSignal__creatperiod=103 .............\n",
"[CV] backtesting__window=23, creatSignal__creatperiod=37, total= 4.9s\n",
"[CV] backtesting__window=2, creatSignal__creatperiod=103 .............\n",
"[CV] backtesting__window=23, creatSignal__creatperiod=37, total= 5.1s\n",
"[CV] backtesting__window=2, creatSignal__creatperiod=103 .............\n",
"[CV] backtesting__window=2, creatSignal__creatperiod=103, total= 5.0s\n",
"[CV] backtesting__window=48, creatSignal__creatperiod=133 ............\n",
"[CV] backtesting__window=2, creatSignal__creatperiod=103, total= 4.9s\n",
"[CV] backtesting__window=48, creatSignal__creatperiod=133 ............\n",
"[CV] backtesting__window=2, creatSignal__creatperiod=103, total= 4.9s\n",
"[CV] backtesting__window=48, creatSignal__creatperiod=133 ............\n",
"[CV] backtesting__window=48, creatSignal__creatperiod=133, total= 4.9s\n",
"[CV] backtesting__window=2, creatSignal__creatperiod=7 ...............\n",
"[CV] backtesting__window=48, creatSignal__creatperiod=133, total= 4.9s\n",
"[CV] backtesting__window=2, creatSignal__creatperiod=7 ...............\n",
"[CV] backtesting__window=48, creatSignal__creatperiod=133, total= 5.0s\n",
"[CV] backtesting__window=2, creatSignal__creatperiod=7 ...............\n",
"[CV] backtesting__window=2, creatSignal__creatperiod=7, total= 4.9s\n",
"[CV] backtesting__window=27, creatSignal__creatperiod=144 ............\n",
"[CV] backtesting__window=2, creatSignal__creatperiod=7, total= 5.0s\n",
"[CV] backtesting__window=27, creatSignal__creatperiod=144 ............\n",
"[CV] backtesting__window=2, creatSignal__creatperiod=7, total= 5.1s\n",
"[CV] backtesting__window=27, creatSignal__creatperiod=144 ............\n",
"[CV] backtesting__window=27, creatSignal__creatperiod=144, total= 5.1s\n",
"[CV] backtesting__window=40, creatSignal__creatperiod=29 .............\n",
"[CV] backtesting__window=27, creatSignal__creatperiod=144, total= 5.0s\n",
"[CV] backtesting__window=40, creatSignal__creatperiod=29 .............\n",
"[CV] backtesting__window=27, creatSignal__creatperiod=144, total= 4.8s\n",
"[CV] backtesting__window=40, creatSignal__creatperiod=29 .............\n",
"[CV] backtesting__window=40, creatSignal__creatperiod=29, total= 5.1s\n",
"[CV] backtesting__window=10, creatSignal__creatperiod=17 .............\n",
"[CV] backtesting__window=40, creatSignal__creatperiod=29, total= 4.9s\n",
"[CV] backtesting__window=10, creatSignal__creatperiod=17 .............\n",
"[CV] backtesting__window=40, creatSignal__creatperiod=29, total= 5.0s\n",
"[CV] backtesting__window=10, creatSignal__creatperiod=17 .............\n",
"[CV] backtesting__window=10, creatSignal__creatperiod=17, total= 5.4s\n",
"[CV] backtesting__window=27, creatSignal__creatperiod=44 .............\n",
"[CV] backtesting__window=10, creatSignal__creatperiod=17, total= 5.1s\n",
"[CV] backtesting__window=27, creatSignal__creatperiod=44 .............\n",
"[CV] backtesting__window=10, creatSignal__creatperiod=17, total= 5.7s\n",
"[CV] backtesting__window=27, creatSignal__creatperiod=44 .............\n",
"[CV] backtesting__window=27, creatSignal__creatperiod=44, total= 5.0s\n",
"[CV] backtesting__window=14, creatSignal__creatperiod=65 .............\n",
"[CV] backtesting__window=27, creatSignal__creatperiod=44, total= 5.0s\n",
"[CV] backtesting__window=14, creatSignal__creatperiod=65 .............\n",
"[CV] backtesting__window=27, creatSignal__creatperiod=44, total= 5.2s\n",
"[CV] backtesting__window=14, creatSignal__creatperiod=65 .............\n",
"[CV] backtesting__window=14, creatSignal__creatperiod=65, total= 5.0s\n",
"[CV] backtesting__window=33, creatSignal__creatperiod=54 .............\n",
"[CV] backtesting__window=14, creatSignal__creatperiod=65, total= 5.3s\n",
"[CV] backtesting__window=33, creatSignal__creatperiod=54 .............\n",
"[CV] backtesting__window=14, creatSignal__creatperiod=65, total= 5.3s\n",
"[CV] backtesting__window=33, creatSignal__creatperiod=54 .............\n",
"[CV] backtesting__window=33, creatSignal__creatperiod=54, total= 5.1s\n",
"[CV] backtesting__window=33, creatSignal__creatperiod=134 ............\n",
"[CV] backtesting__window=33, creatSignal__creatperiod=54, total= 5.1s\n",
"[CV] backtesting__window=33, creatSignal__creatperiod=134 ............\n",
"[CV] backtesting__window=33, creatSignal__creatperiod=54, total= 5.1s\n",
"[CV] backtesting__window=33, creatSignal__creatperiod=134 ............\n",
"[CV] backtesting__window=33, creatSignal__creatperiod=134, total= 5.3s\n",
"[CV] backtesting__window=31, creatSignal__creatperiod=145 ............\n",
"[CV] backtesting__window=33, creatSignal__creatperiod=134, total= 5.3s\n",
"[CV] backtesting__window=31, creatSignal__creatperiod=145 ............\n",
"[CV] backtesting__window=33, creatSignal__creatperiod=134, total= 5.1s\n",
"[CV] backtesting__window=31, creatSignal__creatperiod=145 ............\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"[CV] backtesting__window=31, creatSignal__creatperiod=145, total= 5.1s\n",
"[CV] backtesting__window=44, creatSignal__creatperiod=31 .............\n",
"[CV] backtesting__window=31, creatSignal__creatperiod=145, total= 5.3s\n",
"[CV] backtesting__window=44, creatSignal__creatperiod=31 .............\n",
"[CV] backtesting__window=31, creatSignal__creatperiod=145, total= 5.2s\n",
"[CV] backtesting__window=44, creatSignal__creatperiod=31 .............\n",
"[CV] backtesting__window=44, creatSignal__creatperiod=31, total= 5.2s\n",
"[CV] backtesting__window=37, creatSignal__creatperiod=15 .............\n",
"[CV] backtesting__window=44, creatSignal__creatperiod=31, total= 5.2s\n",
"[CV] backtesting__window=37, creatSignal__creatperiod=15 .............\n",
"[CV] backtesting__window=44, creatSignal__creatperiod=31, total= 5.1s\n",
"[CV] backtesting__window=37, creatSignal__creatperiod=15 .............\n",
"[CV] backtesting__window=37, creatSignal__creatperiod=15, total= 5.4s\n",
"[CV] backtesting__window=33, creatSignal__creatperiod=73 .............\n",
"[CV] backtesting__window=37, creatSignal__creatperiod=15, total= 5.0s\n",
"[CV] backtesting__window=33, creatSignal__creatperiod=73 .............\n",
"[CV] backtesting__window=37, creatSignal__creatperiod=15, total= 5.1s\n",
"[CV] backtesting__window=33, creatSignal__creatperiod=73 .............\n",
"[CV] backtesting__window=33, creatSignal__creatperiod=73, total= 5.3s\n",
"[CV] backtesting__window=52, creatSignal__creatperiod=88 .............\n",
"[CV] backtesting__window=33, creatSignal__creatperiod=73, total= 5.5s\n",
"[CV] backtesting__window=52, creatSignal__creatperiod=88 .............\n",
"[CV] backtesting__window=33, creatSignal__creatperiod=73, total= 5.6s\n",
"[CV] backtesting__window=52, creatSignal__creatperiod=88 .............\n",
"[CV] backtesting__window=52, creatSignal__creatperiod=88, total= 4.9s\n",
"[CV] backtesting__window=29, creatSignal__creatperiod=68 .............\n",
"[CV] backtesting__window=52, creatSignal__creatperiod=88, total= 5.1s\n",
"[CV] backtesting__window=29, creatSignal__creatperiod=68 .............\n",
"[CV] backtesting__window=52, creatSignal__creatperiod=88, total= 5.1s\n",
"[CV] backtesting__window=29, creatSignal__creatperiod=68 .............\n",
"[CV] backtesting__window=29, creatSignal__creatperiod=68, total= 4.9s\n",
"[CV] backtesting__window=43, creatSignal__creatperiod=47 .............\n",
"[CV] backtesting__window=29, creatSignal__creatperiod=68, total= 5.3s\n",
"[CV] backtesting__window=43, creatSignal__creatperiod=47 .............\n",
"[CV] backtesting__window=29, creatSignal__creatperiod=68, total= 5.0s\n",
"[CV] backtesting__window=43, creatSignal__creatperiod=47 .............\n",
"[CV] backtesting__window=43, creatSignal__creatperiod=47, total= 5.1s\n",
"[CV] backtesting__window=58, creatSignal__creatperiod=136 ............\n",
"[CV] backtesting__window=43, creatSignal__creatperiod=47, total= 5.3s\n",
"[CV] backtesting__window=58, creatSignal__creatperiod=136 ............\n",
"[CV] backtesting__window=43, creatSignal__creatperiod=47, total= 5.1s\n",
"[CV] backtesting__window=58, creatSignal__creatperiod=136 ............\n",
"[CV] backtesting__window=58, creatSignal__creatperiod=136, total= 5.1s\n",
"[CV] backtesting__window=29, creatSignal__creatperiod=30 .............\n",
"[CV] backtesting__window=58, creatSignal__creatperiod=136, total= 5.3s\n",
"[CV] backtesting__window=29, creatSignal__creatperiod=30 .............\n",
"[CV] backtesting__window=58, creatSignal__creatperiod=136, total= 5.0s\n",
"[CV] backtesting__window=29, creatSignal__creatperiod=30 .............\n",
"[CV] backtesting__window=29, creatSignal__creatperiod=30, total= 5.0s\n",
"[CV] backtesting__window=45, creatSignal__creatperiod=46 .............\n",
"[CV] backtesting__window=29, creatSignal__creatperiod=30, total= 5.2s\n",
"[CV] backtesting__window=45, creatSignal__creatperiod=46 .............\n",
"[CV] backtesting__window=29, creatSignal__creatperiod=30, total= 5.1s\n",
"[CV] backtesting__window=45, creatSignal__creatperiod=46 .............\n",
"[CV] backtesting__window=45, creatSignal__creatperiod=46, total= 5.0s\n",
"[CV] backtesting__window=21, creatSignal__creatperiod=32 .............\n",
"[CV] backtesting__window=45, creatSignal__creatperiod=46, total= 5.0s\n",
"[CV] backtesting__window=21, creatSignal__creatperiod=32 .............\n",
"[CV] backtesting__window=45, creatSignal__creatperiod=46, total= 5.1s\n",
"[CV] backtesting__window=21, creatSignal__creatperiod=32 .............\n",
"[CV] backtesting__window=21, creatSignal__creatperiod=32, total= 5.0s\n",
"[CV] backtesting__window=12, creatSignal__creatperiod=130 ............\n",
"[CV] backtesting__window=21, creatSignal__creatperiod=32, total= 5.2s\n",
"[CV] backtesting__window=12, creatSignal__creatperiod=130 ............\n",
"[CV] backtesting__window=21, creatSignal__creatperiod=32, total= 5.4s\n",
"[CV] backtesting__window=12, creatSignal__creatperiod=130 ............\n",
"[CV] backtesting__window=12, creatSignal__creatperiod=130, total= 4.9s\n",
"[CV] backtesting__window=59, creatSignal__creatperiod=94 .............\n",
"[CV] backtesting__window=12, creatSignal__creatperiod=130, total= 5.2s\n",
"[CV] backtesting__window=59, creatSignal__creatperiod=94 .............\n",
"[CV] backtesting__window=12, creatSignal__creatperiod=130, total= 5.2s\n",
"[CV] backtesting__window=59, creatSignal__creatperiod=94 .............\n",
"[CV] backtesting__window=59, creatSignal__creatperiod=94, total= 4.9s\n",
"[CV] backtesting__window=26, creatSignal__creatperiod=131 ............\n",
"[CV] backtesting__window=59, creatSignal__creatperiod=94, total= 4.8s\n",
"[CV] backtesting__window=26, creatSignal__creatperiod=131 ............\n",
"[CV] backtesting__window=59, creatSignal__creatperiod=94, total= 4.8s\n",
"[CV] backtesting__window=26, creatSignal__creatperiod=131 ............\n",
"[CV] backtesting__window=26, creatSignal__creatperiod=131, total= 4.8s\n",
"[CV] backtesting__window=58, creatSignal__creatperiod=29 .............\n",
"[CV] backtesting__window=26, creatSignal__creatperiod=131, total= 5.2s\n",
"[CV] backtesting__window=58, creatSignal__creatperiod=29 .............\n",
"[CV] backtesting__window=26, creatSignal__creatperiod=131, total= 5.2s\n",
"[CV] backtesting__window=58, creatSignal__creatperiod=29 .............\n",
"[CV] backtesting__window=58, creatSignal__creatperiod=29, total= 5.1s\n",
"[CV] backtesting__window=58, creatSignal__creatperiod=118 ............\n",
"[CV] backtesting__window=58, creatSignal__creatperiod=29, total= 5.3s\n",
"[CV] backtesting__window=58, creatSignal__creatperiod=118 ............\n",
"[CV] backtesting__window=58, creatSignal__creatperiod=29, total= 5.1s\n",
"[CV] backtesting__window=58, creatSignal__creatperiod=118 ............\n",
"[CV] backtesting__window=58, creatSignal__creatperiod=118, total= 5.1s\n",
"[CV] backtesting__window=14, creatSignal__creatperiod=5 ..............\n",
"[CV] backtesting__window=58, creatSignal__creatperiod=118, total= 5.2s\n",
"[CV] backtesting__window=14, creatSignal__creatperiod=5 ..............\n",
"[CV] backtesting__window=58, creatSignal__creatperiod=118, total= 5.0s\n",
"[CV] backtesting__window=14, creatSignal__creatperiod=5 ..............\n",
"[CV] backtesting__window=14, creatSignal__creatperiod=5, total= 5.0s\n",
"[CV] backtesting__window=40, creatSignal__creatperiod=139 ............\n",
"[CV] backtesting__window=14, creatSignal__creatperiod=5, total= 4.9s\n",
"[CV] backtesting__window=40, creatSignal__creatperiod=139 ............\n",
"[CV] backtesting__window=14, creatSignal__creatperiod=5, total= 5.0s\n",
"[CV] backtesting__window=40, creatSignal__creatperiod=139 ............\n",
"[CV] backtesting__window=40, creatSignal__creatperiod=139, total= 4.9s\n",
"[CV] backtesting__window=38, creatSignal__creatperiod=53 .............\n",
"[CV] backtesting__window=40, creatSignal__creatperiod=139, total= 4.9s\n",
"[CV] backtesting__window=38, creatSignal__creatperiod=53 .............\n",
"[CV] backtesting__window=40, creatSignal__creatperiod=139, total= 5.1s\n",
"[CV] backtesting__window=38, creatSignal__creatperiod=53 .............\n",
"[CV] backtesting__window=38, creatSignal__creatperiod=53, total= 5.1s\n",
"[CV] backtesting__window=43, creatSignal__creatperiod=61 .............\n",
"[CV] backtesting__window=38, creatSignal__creatperiod=53, total= 4.8s\n",
"[CV] backtesting__window=43, creatSignal__creatperiod=61 .............\n",
"[CV] backtesting__window=38, creatSignal__creatperiod=53, total= 4.9s\n",
"[CV] backtesting__window=43, creatSignal__creatperiod=61 .............\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"[CV] backtesting__window=43, creatSignal__creatperiod=61, total= 5.0s\n",
"[CV] backtesting__window=55, creatSignal__creatperiod=98 .............\n",
"[CV] backtesting__window=43, creatSignal__creatperiod=61, total= 5.3s\n",
"[CV] backtesting__window=55, creatSignal__creatperiod=98 .............\n",
"[CV] backtesting__window=43, creatSignal__creatperiod=61, total= 5.0s\n",
"[CV] backtesting__window=55, creatSignal__creatperiod=98 .............\n",
"[CV] backtesting__window=55, creatSignal__creatperiod=98, total= 5.1s\n",
"[CV] backtesting__window=25, creatSignal__creatperiod=115 ............\n",
"[CV] backtesting__window=55, creatSignal__creatperiod=98, total= 4.8s\n",
"[CV] backtesting__window=25, creatSignal__creatperiod=115 ............\n",
"[CV] backtesting__window=55, creatSignal__creatperiod=98, total= 5.0s\n",
"[CV] backtesting__window=25, creatSignal__creatperiod=115 ............\n",
"[CV] backtesting__window=25, creatSignal__creatperiod=115, total= 5.3s\n",
"[CV] backtesting__window=50, creatSignal__creatperiod=54 .............\n",
"[CV] backtesting__window=25, creatSignal__creatperiod=115, total= 5.2s\n",
"[CV] backtesting__window=50, creatSignal__creatperiod=54 .............\n",
"[CV] backtesting__window=25, creatSignal__creatperiod=115, total= 5.4s\n",
"[CV] backtesting__window=50, creatSignal__creatperiod=54 .............\n",
"[CV] backtesting__window=50, creatSignal__creatperiod=54, total= 5.2s\n",
"[CV] backtesting__window=13, creatSignal__creatperiod=41 .............\n",
"[CV] backtesting__window=50, creatSignal__creatperiod=54, total= 5.4s\n",
"[CV] backtesting__window=13, creatSignal__creatperiod=41 .............\n",
"[CV] backtesting__window=50, creatSignal__creatperiod=54, total= 5.0s\n",
"[CV] backtesting__window=13, creatSignal__creatperiod=41 .............\n",
"[CV] backtesting__window=13, creatSignal__creatperiod=41, total= 5.5s\n",
"[CV] backtesting__window=3, creatSignal__creatperiod=133 .............\n",
"[CV] backtesting__window=13, creatSignal__creatperiod=41, total= 5.0s\n",
"[CV] backtesting__window=3, creatSignal__creatperiod=133 .............\n",
"[CV] backtesting__window=13, creatSignal__creatperiod=41, total= 5.1s\n",
"[CV] backtesting__window=3, creatSignal__creatperiod=133 .............\n",
"[CV] backtesting__window=3, creatSignal__creatperiod=133, total= 5.2s\n",
"[CV] backtesting__window=50, creatSignal__creatperiod=103 ............\n",
"[CV] backtesting__window=3, creatSignal__creatperiod=133, total= 4.9s\n",
"[CV] backtesting__window=50, creatSignal__creatperiod=103 ............\n",
"[CV] backtesting__window=3, creatSignal__creatperiod=133, total= 5.2s\n",
"[CV] backtesting__window=50, creatSignal__creatperiod=103 ............\n",
"[CV] backtesting__window=50, creatSignal__creatperiod=103, total= 5.3s\n",
"[CV] backtesting__window=50, creatSignal__creatperiod=83 .............\n",
"[CV] backtesting__window=50, creatSignal__creatperiod=103, total= 5.0s\n",
"[CV] backtesting__window=50, creatSignal__creatperiod=83 .............\n",
"[CV] backtesting__window=50, creatSignal__creatperiod=103, total= 5.0s\n",
"[CV] backtesting__window=50, creatSignal__creatperiod=83 .............\n",
"[CV] backtesting__window=50, creatSignal__creatperiod=83, total= 5.1s\n",
"[CV] backtesting__window=50, creatSignal__creatperiod=4 ..............\n",
"[CV] backtesting__window=50, creatSignal__creatperiod=83, total= 5.1s\n",
"[CV] backtesting__window=50, creatSignal__creatperiod=4 ..............\n",
"[CV] backtesting__window=50, creatSignal__creatperiod=83, total= 5.2s\n",
"[CV] backtesting__window=50, creatSignal__creatperiod=4 ..............\n",
"[CV] backtesting__window=50, creatSignal__creatperiod=4, total= 5.1s\n",
"[CV] backtesting__window=3, creatSignal__creatperiod=56 ..............\n",
"[CV] backtesting__window=50, creatSignal__creatperiod=4, total= 5.2s\n",
"[CV] backtesting__window=3, creatSignal__creatperiod=56 ..............\n",
"[CV] backtesting__window=50, creatSignal__creatperiod=4, total= 5.3s\n",
"[CV] backtesting__window=3, creatSignal__creatperiod=56 ..............\n",
"[CV] backtesting__window=3, creatSignal__creatperiod=56, total= 4.9s\n",
"[CV] backtesting__window=3, creatSignal__creatperiod=56, total= 5.0s\n",
"[CV] backtesting__window=3, creatSignal__creatperiod=56, total= 5.0s\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"[Parallel(n_jobs=3)]: Done 300 out of 300 | elapsed: 14.0min finished\n"
]
},
{
"data": {
"text/plain": [
"RandomizedSearchCV(cv=None, error_score='raise',\n",
" estimator=Pipeline(memory=None,\n",
" steps=[('creatSignal', creatSignal_a(creatfunc=, creatperiod=30)), ('backtesting', AlgorthmStrategy_a(mafunc=, window=5))]),\n",
" fit_params=None, iid=True, n_iter=100, n_jobs=3,\n",
" param_distributions={'creatSignal__creatperiod': , 'backtesting__window': },\n",
" pre_dispatch='2*n_jobs', random_state=42, refit=True,\n",
" return_train_score='warn', scoring=None, verbose=2)"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from sklearn.model_selection import RandomizedSearchCV\n",
"import scipy.stats as st\n",
"\n",
"# 回测时间设置\n",
"startDt = factor_df.index.min().strftime('%Y-%m-%d')\n",
"endDt = factor_df.index.max().strftime('%Y-%m-%d')\n",
"\n",
"# 基准\n",
"benchmark = get_price('000300.XSHG',startDt,endDt,fields='close',panel=False)\n",
"\n",
"returns = benchmark['close'].pct_change().reindex(factor_df.index)\n",
"\n",
"# 构造PIPELINE\n",
"ivr_timing = Pipeline([('creatSignal', creatSignal_a(30, talib.SMA)),\n",
" ('backtesting', AlgorthmStrategy_a(5, talib.SMA))])\n",
"\n",
"# 寻参范围设置\n",
"## 阈值\n",
"\n",
"randint = st.randint(low=3, high=150)\n",
"window_randint = st.randint(low=2,high=60)\n",
"\n",
"# 超参设置\n",
"param_grid = {'creatSignal__creatperiod': randint,\n",
" 'backtesting__window': window_randint\n",
" }\n",
"\n",
"\n",
"grid_search = RandomizedSearchCV(\n",
" ivr_timing, param_grid, n_iter=100, verbose=2, n_jobs=3,random_state=42)\n",
"\n",
"grid_search.fit(factor_df, returns)"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'backtesting__window': 44, 'creatSignal__creatperiod': 31}"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 最优参数\n",
"grid_search.best_params_"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**回测**\n",
"\n",
"金叉买入,死叉卖出"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# 使用最优参数构建开平仓 使用最优估计\n",
"flag = grid_search.best_estimator_.predict(factor_df)\n",
"next_ret = returns.shift(-1)\n",
"# 计算收益率\n",
"algorithm_ret = flag * next_ret\n",
"\n",
"trade_info = tradeAnalyze(flag,next_ret) # 初始化交易信息\n",
"\n",
"mpl.rcParams['font.family'] = 'serif'\n",
"\n",
"# 画图\n",
"(1 + ep.cum_returns(algorithm_ret)).plot(\n",
" figsize=(18, 5), label='异常交易因子择时',title='异常交易因子择时',color='r')\n",
" \n",
"(benchmark['close'] / benchmark['close'][0]).plot(label='HS300',color='darkgray')\n",
"plot_trade_pos(trade_info,benchmark['close'] / benchmark['close'][0])\n",
"plt.legend()"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" \n",
" \n",
" | \n",
" ret | \n",
"
\n",
" \n",
" 年化收益率 | \n",
" 15.72% | \n",
"
\n",
" 波动率 | \n",
" 14.47% | \n",
"
\n",
" 夏普 | \n",
" 109.78% | \n",
"
\n",
" 最大回撤 | \n",
" -24.75% | \n",
"
\n",
"
"
],
"text/plain": [
""
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 风险指标\n",
"Strategy_performance(algorithm_ret,'daily').style.format('{:.2%}')"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
" 交易次数 | 28 |
\n",
" 持仓总天数 | 1068 |
\n",
" 胜率 | 60.71% |
\n",
" 日胜率 | 29.15% |
\n",
" \n",
" 交易明细 | \n",
" Buy | \n",
" Sell | \n",
" Hold_days | \n",
" Hold_returns | \n",
"
\n",
" \n",
" \n",
" \n",
" 0 | \n",
" 2013-04-26 | \n",
" 2013-05-22 | \n",
" 16 | \n",
" 5.47% | \n",
"
\n",
" \n",
" 1 | \n",
" 2013-08-29 | \n",
" 2013-11-20 | \n",
" 53 | \n",
" 4.28% | \n",
"
\n",
" \n",
" 2 | \n",
" 2014-01-27 | \n",
" 2014-03-06 | \n",
" 24 | \n",
" -2.02% | \n",
"
\n",
" \n",
" 3 | \n",
" 2014-03-14 | \n",
" 2014-04-08 | \n",
" 17 | \n",
" 5.44% | \n",
"
\n",
" \n",
" 4 | \n",
" 2014-04-10 | \n",
" 2014-04-18 | \n",
" 7 | \n",
" -3.85% | \n",
"
\n",
" \n",
" 5 | \n",
" 2014-04-21 | \n",
" 2014-06-09 | \n",
" 33 | \n",
" -1.09% | \n",
"
\n",
" \n",
" 6 | \n",
" 2014-06-23 | \n",
" 2014-06-24 | \n",
" 2 | \n",
" -0.03% | \n",
"
\n",
" \n",
" 7 | \n",
" 2014-06-26 | \n",
" 2014-09-05 | \n",
" 52 | \n",
" 13.11% | \n",
"
\n",
" \n",
" 8 | \n",
" 2014-11-26 | \n",
" 2015-01-05 | \n",
" 27 | \n",
" 29.82% | \n",
"
\n",
" \n",
" 9 | \n",
" 2015-03-18 | \n",
" 2015-05-21 | \n",
" 45 | \n",
" 25.91% | \n",
"
\n",
" \n",
" 10 | \n",
" 2015-10-28 | \n",
" 2016-01-14 | \n",
" 56 | \n",
" -10.85% | \n",
"
\n",
" \n",
" 11 | \n",
" 2016-03-31 | \n",
" 2016-07-04 | \n",
" 64 | \n",
" -0.01% | \n",
"
\n",
" \n",
" 12 | \n",
" 2016-07-20 | \n",
" 2016-11-07 | \n",
" 72 | \n",
" 4.24% | \n",
"
\n",
" \n",
" 13 | \n",
" 2016-11-17 | \n",
" 2017-01-09 | \n",
" 37 | \n",
" -2.19% | \n",
"
\n",
" \n",
" 14 | \n",
" 2017-02-09 | \n",
" 2017-06-15 | \n",
" 86 | \n",
" 3.68% | \n",
"
\n",
" \n",
" 15 | \n",
" 2017-08-16 | \n",
" 2017-11-14 | \n",
" 60 | \n",
" 9.65% | \n",
"
\n",
" \n",
" 16 | \n",
" 2018-01-24 | \n",
" 2018-02-23 | \n",
" 18 | \n",
" -6.13% | \n",
"
\n",
" \n",
" 17 | \n",
" 2018-05-04 | \n",
" 2018-07-03 | \n",
" 42 | \n",
" -11.19% | \n",
"
\n",
" \n",
" 18 | \n",
" 2018-09-12 | \n",
" 2018-10-23 | \n",
" 24 | \n",
" 0.11% | \n",
"
\n",
" \n",
" 19 | \n",
" 2018-12-12 | \n",
" 2019-03-15 | \n",
" 61 | \n",
" 20.15% | \n",
"
\n",
" \n",
" 20 | \n",
" 2019-05-09 | \n",
" 2019-05-14 | \n",
" 4 | \n",
" 3.58% | \n",
"
\n",
" \n",
" 21 | \n",
" 2019-07-03 | \n",
" 2020-01-03 | \n",
" 126 | \n",
" 6.30% | \n",
"
\n",
" \n",
" 22 | \n",
" 2020-01-07 | \n",
" 2020-01-13 | \n",
" 5 | \n",
" 0.73% | \n",
"
\n",
" \n",
" 23 | \n",
" 2020-01-14 | \n",
" 2020-01-16 | \n",
" 3 | \n",
" -0.84% | \n",
"
\n",
" \n",
" 24 | \n",
" 2020-01-21 | \n",
" 2020-01-23 | \n",
" 3 | \n",
" -10.55% | \n",
"
\n",
" \n",
" 25 | \n",
" 2020-04-16 | \n",
" 2020-07-15 | \n",
" 60 | \n",
" 17.79% | \n",
"
\n",
" \n",
" 26 | \n",
" 2020-09-04 | \n",
" 2020-11-03 | \n",
" 37 | \n",
" 1.14% | \n",
"
\n",
" \n",
" 27 | \n",
" 2020-11-25 | \n",
" 2021-02-26 | \n",
" 62 | \n",
" 10.38% | \n",
"
\n",
" \n",
"
"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# 展示交易明细\n",
"trade_info.show_all()"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
" \n",
" Worst drawdown periods | \n",
" Net drawdown in % | \n",
" Peak date | \n",
" Valley date | \n",
" Recovery date | \n",
" Duration | \n",
"
\n",
" \n",
" \n",
" \n",
" 0 | \n",
" 24.75 | \n",
" 2015-12-21 | \n",
" 2019-01-02 | \n",
" 2019-12-27 | \n",
" 1050 | \n",
"
\n",
" \n",
" 1 | \n",
" 8.75 | \n",
" 2013-09-11 | \n",
" 2013-11-12 | \n",
" 2014-02-13 | \n",
" 112 | \n",
"
\n",
" \n",
" 2 | \n",
" 8.11 | \n",
" 2021-02-09 | \n",
" 2021-02-25 | \n",
" NaT | \n",
" NaN | \n",
"
\n",
" \n",
" 3 | \n",
" 7.56 | \n",
" 2014-02-14 | \n",
" 2014-03-19 | \n",
" 2014-07-24 | \n",
" 115 | \n",
"
\n",
" \n",
" 4 | \n",
" 7.38 | \n",
" 2015-11-06 | \n",
" 2015-11-26 | \n",
" 2015-12-18 | \n",
" 31 | \n",
"
\n",
" \n",
"
"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"[]"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"show_worst_drawdown_periods(algorithm_ret.dropna())\n",
"fig,ax = plt.subplots(figsize=(18,4))\n",
"plot_drawdown_periods(algorithm_ret.dropna(),5,ax)\n",
"ax.plot(benchmark['close'] / benchmark['close'][0],color='darkgray')"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# 查看信号\n",
"fig,ax = plt.subplots(figsize=(18,4))\n",
"\n",
"ax.set_title('查看最优参数下的信号')\n",
"N = grid_search.best_params_['creatSignal__creatperiod']\n",
"M = grid_search.best_params_['backtesting__window']\n",
"ser = top_ser.rolling(N).mean() - bottom_ser.rolling(N).mean()\n",
"ma = ser.rolling(M).mean()\n",
"\n",
"ax.plot(ser,color='Crimson',label='signal')\n",
"ax.plot(ma,label='MA')\n",
"ax1 = ax.twinx()\n",
"ax1.plot(benchmark['close'],label='HS300',color='darkgray')\n",
"plot_trade_pos(trade_info,benchmark['close'],ax=ax1)\n",
"\n",
"h1,l1 = ax.get_legend_handles_labels()\n",
"h2,l2 = ax1.get_legend_handles_labels()\n",
"ax.legend(h1+h2,l1+l2)\n",
"plt.grid(False)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 构思二:\n",
"\n",
"1. 构建数量剪刀差_快线:因子升序分五组,头部组合数量N日移动平均-底部组合数量N日移动平均\n",
"2. 构建数量剪刀差_慢线:因子升序分五组,头部组合数量M日移动平均-底部组合数量M日移动平均\n",
"3. 快线与第慢均线形成双均线\n",
"\n",
"其中:M>N"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"code_folding": [
3,
12,
16,
24,
43,
48,
59,
67
]
},
"outputs": [],
"source": [
"# 构造趋势指标构建\n",
"class creatSignal_b(TransformerMixin, BaseEstimator):\n",
"\n",
" def __init__(self, longperiod: int,shortperiod:int,creatfunc:Callable)->None:\n",
" '''\n",
" createperiod:头部-顶部的数量周期\n",
" creatfunc:均线计算方法函数\n",
" '''\n",
" self.longperiod = longperiod\n",
" self.shortperiod = shortperiod\n",
" self.creatfunc = creatfunc\n",
"\n",
" def fit(self, factor_df:pd.Series, returns=None):\n",
"\n",
" return self\n",
"\n",
" def transform(self, factor_df:pd.DataFrame)->pd.Series:\n",
"\n",
" # 每日分组\n",
" rank_df = factor_df.apply(pd.cut,bins=5,labels=['G%s'%i for i in range(1,6)],axis=1)\n",
" \n",
" bottom_ser = (rank_df == 'G1').sum(axis=1) \n",
" top_ser = (rank_df == 'G5').sum(axis=1)\n",
" \n",
" def buildSignal(top_ser:pd.Series,bottom_ser:pd.Series,N:int)->pd.Series:\n",
" \n",
" log_bottom = np.log(self.creatfunc(bottom_ser,N))\n",
" log_top = np.log(self.creatfunc(top_ser,N))\n",
"\n",
" diff_signal = log_top - log_bottom # 差值\n",
" return diff_signal.dropna()\n",
" \n",
" long = buildSignal(top_ser,bottom_ser,self.longperiod)\n",
" short = buildSignal(top_ser,bottom_ser,self.shortperiod)\n",
" \n",
" signal = ((long - short) > 0) * 1\n",
" \n",
" return signal\n",
"\n",
" \n",
"# 策略构建\n",
"class AlgorthmStrategy_b(BaseEstimator):\n",
"\n",
" def __init__(self)->None:\n",
"\n",
" pass\n",
" \n",
" # 策略是如何训练的\n",
" def fit(self, signal:pd.Series, returns:pd.Series)->pd.Series:\n",
" '''\n",
" signal:信号数据\n",
" returns:收益数据\n",
" '''\n",
" idx = signal.index\n",
" # 收益率滞后一期\n",
" algorithm_ret = self.predict(signal) * returns.shift(-1).reindex(idx)\n",
" return algorithm_ret.dropna()\n",
"\n",
" # 策略如何进行信号生成\n",
" def predict(self, signal:pd.Series)->pd.Series:\n",
" \n",
" '''singal:信号数据'''\n",
" \n",
" \n",
" return signal\n",
"\n",
" # 如何判断策略是优是劣质\n",
" def score(self, signal:pd.Series, returns:pd.Series)->float:\n",
"\n",
" ret = self.fit(signal, returns)\n",
"\n",
" # 优化指标为: 卡玛比率 + 夏普\n",
" # 分数越大越好\n",
" \n",
" risk = ep.calmar_ratio(ret) + ep.sharpe_ratio(ret)\n",
" \n",
" return risk"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 寻找最优参数\n",
"\n",
"**回测**\n",
"\n",
"金叉买入,死叉卖出"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Fitting 3 folds for each of 100 candidates, totalling 300 fits\n",
"[CV] creatSignal__longperiod=105, creatSignal__shortperiod=95 ........\n",
"[CV] creatSignal__longperiod=105, creatSignal__shortperiod=95 ........\n",
"[CV] creatSignal__longperiod=105, creatSignal__shortperiod=95 ........\n",
"[CV] creatSignal__longperiod=105, creatSignal__shortperiod=95, total= 5.1s\n",
"[CV] creatSignal__longperiod=17, creatSignal__shortperiod=109 ........\n",
"[CV] creatSignal__longperiod=105, creatSignal__shortperiod=95, total= 5.4s\n",
"[CV] creatSignal__longperiod=17, creatSignal__shortperiod=109 ........\n",
"[CV] creatSignal__longperiod=105, creatSignal__shortperiod=95, total= 5.5s\n",
"[CV] creatSignal__longperiod=17, creatSignal__shortperiod=109 ........\n",
"[CV] creatSignal__longperiod=17, creatSignal__shortperiod=109, total= 5.1s\n",
"[CV] creatSignal__longperiod=74, creatSignal__shortperiod=23 .........\n",
"[CV] creatSignal__longperiod=17, creatSignal__shortperiod=109, total= 5.1s\n",
"[CV] creatSignal__longperiod=17, creatSignal__shortperiod=109, total= 5.0s\n",
"[CV] creatSignal__longperiod=74, creatSignal__shortperiod=23 .........\n",
"[CV] creatSignal__longperiod=74, creatSignal__shortperiod=23 .........\n",
"[CV] creatSignal__longperiod=74, creatSignal__shortperiod=23, total= 5.5s\n",
"[CV] creatSignal__longperiod=105, creatSignal__shortperiod=124 .......\n",
"[CV] creatSignal__longperiod=74, creatSignal__shortperiod=23, total= 5.5s\n",
"[CV] creatSignal__longperiod=105, creatSignal__shortperiod=124 .......\n",
"[CV] creatSignal__longperiod=74, creatSignal__shortperiod=23, total= 5.7s\n",
"[CV] creatSignal__longperiod=105, creatSignal__shortperiod=124 .......\n",
"[CV] creatSignal__longperiod=105, creatSignal__shortperiod=124, total= 5.1s\n",
"[CV] creatSignal__longperiod=77, creatSignal__shortperiod=90 .........\n",
"[CV] creatSignal__longperiod=105, creatSignal__shortperiod=124, total= 4.9s\n",
"[CV] creatSignal__longperiod=77, creatSignal__shortperiod=90 .........\n",
"[CV] creatSignal__longperiod=105, creatSignal__shortperiod=124, total= 5.2s\n",
"[CV] creatSignal__longperiod=77, creatSignal__shortperiod=90 .........\n",
"[CV] creatSignal__longperiod=77, creatSignal__shortperiod=90, total= 5.3s\n",
"[CV] creatSignal__longperiod=119, creatSignal__shortperiod=102 .......\n",
"[CV] creatSignal__longperiod=77, creatSignal__shortperiod=90, total= 5.2s\n",
"[CV] creatSignal__longperiod=119, creatSignal__shortperiod=102 .......\n",
"[CV] creatSignal__longperiod=77, creatSignal__shortperiod=90, total= 5.3s\n",
"[CV] creatSignal__longperiod=119, creatSignal__shortperiod=102 .......\n",
"[CV] creatSignal__longperiod=119, creatSignal__shortperiod=102, total= 5.5s\n",
"[CV] creatSignal__longperiod=106, creatSignal__shortperiod=133 .......\n",
"[CV] creatSignal__longperiod=119, creatSignal__shortperiod=102, total= 5.2s\n",
"[CV] creatSignal__longperiod=106, creatSignal__shortperiod=133 .......\n",
"[CV] creatSignal__longperiod=119, creatSignal__shortperiod=102, total= 5.3s\n",
"[CV] creatSignal__longperiod=106, creatSignal__shortperiod=133 .......\n",
"[CV] creatSignal__longperiod=106, creatSignal__shortperiod=133, total= 5.1s\n",
"[CV] creatSignal__longperiod=55, creatSignal__shortperiod=4 ..........\n",
"[CV] creatSignal__longperiod=106, creatSignal__shortperiod=133, total= 5.0s\n",
"[CV] creatSignal__longperiod=55, creatSignal__shortperiod=4 ..........\n",
"[CV] creatSignal__longperiod=106, creatSignal__shortperiod=133, total= 5.2s\n",
"[CV] creatSignal__longperiod=55, creatSignal__shortperiod=4 ..........\n",
"[CV] creatSignal__longperiod=55, creatSignal__shortperiod=4, total= 5.3s\n",
"[CV] creatSignal__longperiod=90, creatSignal__shortperiod=40 .........\n",
"[CV] creatSignal__longperiod=55, creatSignal__shortperiod=4, total= 5.2s\n",
"[CV] creatSignal__longperiod=90, creatSignal__shortperiod=40 .........\n",
"[CV] creatSignal__longperiod=55, creatSignal__shortperiod=4, total= 5.3s\n",
"[CV] creatSignal__longperiod=90, creatSignal__shortperiod=40 .........\n",
"[CV] creatSignal__longperiod=90, creatSignal__shortperiod=40, total= 5.3s\n",
"[CV] creatSignal__longperiod=132, creatSignal__shortperiod=23 ........\n",
"[CV] creatSignal__longperiod=90, creatSignal__shortperiod=40, total= 5.4s\n",
"[CV] creatSignal__longperiod=132, creatSignal__shortperiod=23 ........\n",
"[CV] creatSignal__longperiod=90, creatSignal__shortperiod=40, total= 5.4s\n",
"[CV] creatSignal__longperiod=132, creatSignal__shortperiod=23 ........\n",
"[CV] creatSignal__longperiod=132, creatSignal__shortperiod=23, total= 5.1s\n",
"[CV] creatSignal__longperiod=60, creatSignal__shortperiod=24 .........\n",
"[CV] creatSignal__longperiod=132, creatSignal__shortperiod=23, total= 5.1s\n",
"[CV] creatSignal__longperiod=60, creatSignal__shortperiod=24 .........\n",
"[CV] creatSignal__longperiod=132, creatSignal__shortperiod=23, total= 4.9s\n",
"[CV] creatSignal__longperiod=60, creatSignal__shortperiod=24 .........\n",
"[CV] creatSignal__longperiod=60, creatSignal__shortperiod=24, total= 5.1s\n",
"[CV] creatSignal__longperiod=91, creatSignal__shortperiod=51 .........\n",
"[CV] creatSignal__longperiod=60, creatSignal__shortperiod=24, total= 5.4s\n",
"[CV] creatSignal__longperiod=91, creatSignal__shortperiod=51 .........\n",
"[CV] creatSignal__longperiod=60, creatSignal__shortperiod=24, total= 5.4s\n",
"[CV] creatSignal__longperiod=91, creatSignal__shortperiod=51 .........\n",
"[CV] creatSignal__longperiod=91, creatSignal__shortperiod=51, total= 5.0s\n",
"[CV] creatSignal__longperiod=61, creatSignal__shortperiod=17 .........\n",
"[CV] creatSignal__longperiod=91, creatSignal__shortperiod=51, total= 5.0s\n",
"[CV] creatSignal__longperiod=61, creatSignal__shortperiod=17 .........\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"[Parallel(n_jobs=3)]: Done 35 tasks | elapsed: 1.8min\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"[CV] creatSignal__longperiod=91, creatSignal__shortperiod=51, total= 5.1s\n",
"[CV] creatSignal__longperiod=61, creatSignal__shortperiod=17 .........\n",
"[CV] creatSignal__longperiod=61, creatSignal__shortperiod=17, total= 5.0s\n",
"[CV] creatSignal__longperiod=53, creatSignal__shortperiod=110 ........\n",
"[CV] creatSignal__longperiod=61, creatSignal__shortperiod=17, total= 5.0s\n",
"[CV] creatSignal__longperiod=53, creatSignal__shortperiod=110 ........\n",
"[CV] creatSignal__longperiod=61, creatSignal__shortperiod=17, total= 5.1s\n",
"[CV] creatSignal__longperiod=53, creatSignal__shortperiod=110 ........\n",
"[CV] creatSignal__longperiod=53, creatSignal__shortperiod=110, total= 5.2s\n",
"[CV] creatSignal__longperiod=57, creatSignal__shortperiod=66 .........\n",
"[CV] creatSignal__longperiod=53, creatSignal__shortperiod=110, total= 4.9s\n",
"[CV] creatSignal__longperiod=57, creatSignal__shortperiod=66 .........\n",
"[CV] creatSignal__longperiod=53, creatSignal__shortperiod=110, total= 5.2s\n",
"[CV] creatSignal__longperiod=57, creatSignal__shortperiod=66 .........\n",
"[CV] creatSignal__longperiod=57, creatSignal__shortperiod=66, total= 5.4s\n",
"[CV] creatSignal__longperiod=133, creatSignal__shortperiod=53 ........\n",
"[CV] creatSignal__longperiod=57, creatSignal__shortperiod=66, total= 5.4s\n",
"[CV] creatSignal__longperiod=133, creatSignal__shortperiod=53 ........\n",
"[CV] creatSignal__longperiod=57, creatSignal__shortperiod=66, total= 5.2s\n",
"[CV] creatSignal__longperiod=133, creatSignal__shortperiod=53 ........\n",
"[CV] creatSignal__longperiod=133, creatSignal__shortperiod=53, total= 5.1s\n",
"[CV] creatSignal__longperiod=137, creatSignal__shortperiod=23 ........\n",
"[CV] creatSignal__longperiod=133, creatSignal__shortperiod=53, total= 5.3s\n",
"[CV] creatSignal__longperiod=137, creatSignal__shortperiod=23 ........\n",
"[CV] creatSignal__longperiod=133, creatSignal__shortperiod=53, total= 5.4s\n",
"[CV] creatSignal__longperiod=137, creatSignal__shortperiod=23 ........\n",
"[CV] creatSignal__longperiod=137, creatSignal__shortperiod=23, total= 5.0s\n",
"[CV] creatSignal__longperiod=75, creatSignal__shortperiod=20 .........\n",
"[CV] creatSignal__longperiod=137, creatSignal__shortperiod=23, total= 5.2s\n",
"[CV] creatSignal__longperiod=75, creatSignal__shortperiod=20 .........\n",
"[CV] creatSignal__longperiod=137, creatSignal__shortperiod=23, total= 5.1s\n",
"[CV] creatSignal__longperiod=75, creatSignal__shortperiod=20 .........\n",
"[CV] creatSignal__longperiod=75, creatSignal__shortperiod=20, total= 5.0s\n",
"[CV] creatSignal__longperiod=134, creatSignal__shortperiod=91 ........\n",
"[CV] creatSignal__longperiod=75, creatSignal__shortperiod=20, total= 5.0s\n",
"[CV] creatSignal__longperiod=134, creatSignal__shortperiod=91 ........\n",
"[CV] creatSignal__longperiod=75, creatSignal__shortperiod=20, total= 5.0s\n",
"[CV] creatSignal__longperiod=134, creatSignal__shortperiod=91 ........\n",
"[CV] creatSignal__longperiod=134, creatSignal__shortperiod=91, total= 5.1s\n",
"[CV] creatSignal__longperiod=62, creatSignal__shortperiod=16 .........\n",
"[CV] creatSignal__longperiod=134, creatSignal__shortperiod=91, total= 5.3s\n",
"[CV] creatSignal__longperiod=62, creatSignal__shortperiod=16 .........\n",
"[CV] creatSignal__longperiod=134, creatSignal__shortperiod=91, total= 5.2s\n",
"[CV] creatSignal__longperiod=62, creatSignal__shortperiod=16 .........\n",
"[CV] creatSignal__longperiod=62, creatSignal__shortperiod=16, total= 5.2s\n",
"[CV] creatSignal__longperiod=11, creatSignal__shortperiod=92 .........\n",
"[CV] creatSignal__longperiod=62, creatSignal__shortperiod=16, total= 5.1s\n",
"[CV] creatSignal__longperiod=11, creatSignal__shortperiod=92 .........\n",
"[CV] creatSignal__longperiod=62, creatSignal__shortperiod=16, total= 5.2s\n",
"[CV] creatSignal__longperiod=11, creatSignal__shortperiod=92 .........\n",
"[CV] creatSignal__longperiod=11, creatSignal__shortperiod=92, total= 5.2s\n",
"[CV] creatSignal__longperiod=55, creatSignal__shortperiod=132 ........\n",
"[CV] creatSignal__longperiod=11, creatSignal__shortperiod=92, total= 5.1s\n",
"[CV] creatSignal__longperiod=55, creatSignal__shortperiod=132 ........\n",
"[CV] creatSignal__longperiod=11, creatSignal__shortperiod=92, total= 5.2s\n",
"[CV] creatSignal__longperiod=55, creatSignal__shortperiod=132 ........\n",
"[CV] creatSignal__longperiod=55, creatSignal__shortperiod=132, total= 5.1s\n",
"[CV] creatSignal__longperiod=86, creatSignal__shortperiod=94 .........\n",
"[CV] creatSignal__longperiod=55, creatSignal__shortperiod=132, total= 5.1s\n",
"[CV] creatSignal__longperiod=86, creatSignal__shortperiod=94 .........\n",
"[CV] creatSignal__longperiod=55, creatSignal__shortperiod=132, total= 5.2s\n",
"[CV] creatSignal__longperiod=86, creatSignal__shortperiod=94 .........\n",
"[CV] creatSignal__longperiod=86, creatSignal__shortperiod=94, total= 5.2s\n",
"[CV] creatSignal__longperiod=113, creatSignal__shortperiod=10 ........\n",
"[CV] creatSignal__longperiod=86, creatSignal__shortperiod=94, total= 5.1s\n",
"[CV] creatSignal__longperiod=113, creatSignal__shortperiod=10 ........\n",
"[CV] creatSignal__longperiod=86, creatSignal__shortperiod=94, total= 5.0s\n",
"[CV] creatSignal__longperiod=113, creatSignal__shortperiod=10 ........\n",
"[CV] creatSignal__longperiod=113, creatSignal__shortperiod=10, total= 5.0s\n",
"[CV] creatSignal__longperiod=37, creatSignal__shortperiod=83 .........\n",
"[CV] creatSignal__longperiod=113, creatSignal__shortperiod=10, total= 5.5s\n",
"[CV] creatSignal__longperiod=37, creatSignal__shortperiod=83 .........\n",
"[CV] creatSignal__longperiod=113, creatSignal__shortperiod=10, total= 5.2s\n",
"[CV] creatSignal__longperiod=37, creatSignal__shortperiod=83 .........\n",
"[CV] creatSignal__longperiod=37, creatSignal__shortperiod=83, total= 5.1s\n",
"[CV] creatSignal__longperiod=52, creatSignal__shortperiod=106 ........\n",
"[CV] creatSignal__longperiod=37, creatSignal__shortperiod=83, total= 5.1s\n",
"[CV] creatSignal__longperiod=52, creatSignal__shortperiod=106 ........\n",
"[CV] creatSignal__longperiod=37, creatSignal__shortperiod=83, total= 5.0s\n",
"[CV] creatSignal__longperiod=52, creatSignal__shortperiod=106 ........\n",
"[CV] creatSignal__longperiod=52, creatSignal__shortperiod=106, total= 5.1s\n",
"[CV] creatSignal__longperiod=134, creatSignal__shortperiod=4 .........\n",
"[CV] creatSignal__longperiod=52, creatSignal__shortperiod=106, total= 5.2s\n",
"[CV] creatSignal__longperiod=134, creatSignal__shortperiod=4 .........\n",
"[CV] creatSignal__longperiod=52, creatSignal__shortperiod=106, total= 5.1s\n",
"[CV] creatSignal__longperiod=134, creatSignal__shortperiod=4 .........\n",
"[CV] creatSignal__longperiod=134, creatSignal__shortperiod=4, total= 5.4s\n",
"[CV] creatSignal__longperiod=136, creatSignal__shortperiod=56 ........\n",
"[CV] creatSignal__longperiod=134, creatSignal__shortperiod=4, total= 5.1s\n",
"[CV] creatSignal__longperiod=136, creatSignal__shortperiod=56 ........\n",
"[CV] creatSignal__longperiod=134, creatSignal__shortperiod=4, total= 5.2s\n",
"[CV] creatSignal__longperiod=136, creatSignal__shortperiod=56 ........\n",
"[CV] creatSignal__longperiod=136, creatSignal__shortperiod=56, total= 5.1s\n",
"[CV] creatSignal__longperiod=108, creatSignal__shortperiod=6 .........\n",
"[CV] creatSignal__longperiod=136, creatSignal__shortperiod=56, total= 4.9s\n",
"[CV] creatSignal__longperiod=108, creatSignal__shortperiod=6 .........\n",
"[CV] creatSignal__longperiod=136, creatSignal__shortperiod=56, total= 4.9s\n",
"[CV] creatSignal__longperiod=108, creatSignal__shortperiod=6 .........\n",
"[CV] creatSignal__longperiod=108, creatSignal__shortperiod=6, total= 5.0s\n",
"[CV] creatSignal__longperiod=56, creatSignal__shortperiod=148 ........\n",
"[CV] creatSignal__longperiod=108, creatSignal__shortperiod=6, total= 4.9s\n",
"[CV] creatSignal__longperiod=56, creatSignal__shortperiod=148 ........\n",
"[CV] creatSignal__longperiod=108, creatSignal__shortperiod=6, total= 5.0s\n",
"[CV] creatSignal__longperiod=56, creatSignal__shortperiod=148 ........\n",
"[CV] creatSignal__longperiod=56, creatSignal__shortperiod=148, total= 5.2s\n",
"[CV] creatSignal__longperiod=46, creatSignal__shortperiod=16 .........\n",
"[CV] creatSignal__longperiod=56, creatSignal__shortperiod=148, total= 5.1s\n",
"[CV] creatSignal__longperiod=46, creatSignal__shortperiod=16 .........\n",
"[CV] creatSignal__longperiod=56, creatSignal__shortperiod=148, total= 5.4s\n",
"[CV] creatSignal__longperiod=46, creatSignal__shortperiod=16 .........\n",
"[CV] creatSignal__longperiod=46, creatSignal__shortperiod=16, total= 5.1s\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"[CV] creatSignal__longperiod=97, creatSignal__shortperiod=50 .........\n",
"[CV] creatSignal__longperiod=46, creatSignal__shortperiod=16, total= 4.9s\n",
"[CV] creatSignal__longperiod=97, creatSignal__shortperiod=50 .........\n",
"[CV] creatSignal__longperiod=46, creatSignal__shortperiod=16, total= 5.2s\n",
"[CV] creatSignal__longperiod=97, creatSignal__shortperiod=50 .........\n",
"[CV] creatSignal__longperiod=97, creatSignal__shortperiod=50, total= 5.3s\n",
"[CV] creatSignal__longperiod=17, creatSignal__shortperiod=42 .........\n",
"[CV] creatSignal__longperiod=97, creatSignal__shortperiod=50, total= 5.0s\n",
"[CV] creatSignal__longperiod=17, creatSignal__shortperiod=42 .........\n",
"[CV] creatSignal__longperiod=97, creatSignal__shortperiod=50, total= 5.0s\n",
"[CV] creatSignal__longperiod=17, creatSignal__shortperiod=42 .........\n",
"[CV] creatSignal__longperiod=17, creatSignal__shortperiod=42, total= 4.9s\n",
"[CV] creatSignal__longperiod=84, creatSignal__shortperiod=113 ........\n",
"[CV] creatSignal__longperiod=17, creatSignal__shortperiod=42, total= 4.7s\n",
"[CV] creatSignal__longperiod=84, creatSignal__shortperiod=113 ........\n",
"[CV] creatSignal__longperiod=17, creatSignal__shortperiod=42, total= 4.9s\n",
"[CV] creatSignal__longperiod=84, creatSignal__shortperiod=113 ........\n",
"[CV] creatSignal__longperiod=84, creatSignal__shortperiod=113, total= 5.0s\n",
"[CV] creatSignal__longperiod=55, creatSignal__shortperiod=26 .........\n",
"[CV] creatSignal__longperiod=84, creatSignal__shortperiod=113, total= 5.0s\n",
"[CV] creatSignal__longperiod=55, creatSignal__shortperiod=26 .........\n",
"[CV] creatSignal__longperiod=84, creatSignal__shortperiod=113, total= 5.0s\n",
"[CV] creatSignal__longperiod=55, creatSignal__shortperiod=26 .........\n",
"[CV] creatSignal__longperiod=55, creatSignal__shortperiod=26, total= 5.6s\n",
"[CV] creatSignal__longperiod=126, creatSignal__shortperiod=43 ........\n",
"[CV] creatSignal__longperiod=55, creatSignal__shortperiod=26, total= 4.9s\n",
"[CV] creatSignal__longperiod=126, creatSignal__shortperiod=43 ........\n",
"[CV] creatSignal__longperiod=55, creatSignal__shortperiod=26, total= 5.4s\n",
"[CV] creatSignal__longperiod=126, creatSignal__shortperiod=43 ........\n",
"[CV] creatSignal__longperiod=126, creatSignal__shortperiod=43, total= 4.9s\n",
"[CV] creatSignal__longperiod=17, creatSignal__shortperiod=47 .........\n",
"[CV] creatSignal__longperiod=126, creatSignal__shortperiod=43, total= 5.2s\n",
"[CV] creatSignal__longperiod=17, creatSignal__shortperiod=47 .........\n",
"[CV] creatSignal__longperiod=126, creatSignal__shortperiod=43, total= 5.2s\n",
"[CV] creatSignal__longperiod=17, creatSignal__shortperiod=47 .........\n",
"[CV] creatSignal__longperiod=17, creatSignal__shortperiod=47, total= 5.0s\n",
"[CV] creatSignal__longperiod=67, creatSignal__shortperiod=91 .........\n",
"[CV] creatSignal__longperiod=17, creatSignal__shortperiod=47, total= 5.3s\n",
"[CV] creatSignal__longperiod=67, creatSignal__shortperiod=91 .........\n",
"[CV] creatSignal__longperiod=17, creatSignal__shortperiod=47, total= 5.3s\n",
"[CV] creatSignal__longperiod=67, creatSignal__shortperiod=91 .........\n",
"[CV] creatSignal__longperiod=67, creatSignal__shortperiod=91, total= 5.3s\n",
"[CV] creatSignal__longperiod=73, creatSignal__shortperiod=11 .........\n",
"[CV] creatSignal__longperiod=67, creatSignal__shortperiod=91, total= 5.3s\n",
"[CV] creatSignal__longperiod=73, creatSignal__shortperiod=11 .........\n",
"[CV] creatSignal__longperiod=67, creatSignal__shortperiod=91, total= 5.4s\n",
"[CV] creatSignal__longperiod=73, creatSignal__shortperiod=11 .........\n",
"[CV] creatSignal__longperiod=73, creatSignal__shortperiod=11, total= 5.2s\n",
"[CV] creatSignal__longperiod=90, creatSignal__shortperiod=131 ........\n",
"[CV] creatSignal__longperiod=73, creatSignal__shortperiod=11, total= 5.1s\n",
"[CV] creatSignal__longperiod=90, creatSignal__shortperiod=131 ........\n",
"[CV] creatSignal__longperiod=73, creatSignal__shortperiod=11, total= 5.1s\n",
"[CV] creatSignal__longperiod=90, creatSignal__shortperiod=131 ........\n",
"[CV] creatSignal__longperiod=90, creatSignal__shortperiod=131, total= 5.3s\n",
"[CV] creatSignal__longperiod=138, creatSignal__shortperiod=65 ........\n",
"[CV] creatSignal__longperiod=90, creatSignal__shortperiod=131, total= 5.4s\n",
"[CV] creatSignal__longperiod=138, creatSignal__shortperiod=65 ........\n",
"[CV] creatSignal__longperiod=90, creatSignal__shortperiod=131, total= 5.1s\n",
"[CV] creatSignal__longperiod=138, creatSignal__shortperiod=65 ........\n",
"[CV] creatSignal__longperiod=138, creatSignal__shortperiod=65, total= 5.4s\n",
"[CV] creatSignal__longperiod=141, creatSignal__shortperiod=83 ........\n",
"[CV] creatSignal__longperiod=138, creatSignal__shortperiod=65, total= 5.0s\n",
"[CV] creatSignal__longperiod=141, creatSignal__shortperiod=83 ........\n",
"[CV] creatSignal__longperiod=138, creatSignal__shortperiod=65, total= 5.1s\n",
"[CV] creatSignal__longperiod=141, creatSignal__shortperiod=83 ........\n",
"[CV] creatSignal__longperiod=141, creatSignal__shortperiod=83, total= 4.9s\n",
"[CV] creatSignal__longperiod=138, creatSignal__shortperiod=35 ........\n",
"[CV] creatSignal__longperiod=141, creatSignal__shortperiod=83, total= 5.2s\n",
"[CV] creatSignal__longperiod=138, creatSignal__shortperiod=35 ........\n",
"[CV] creatSignal__longperiod=141, creatSignal__shortperiod=83, total= 5.3s\n",
"[CV] creatSignal__longperiod=138, creatSignal__shortperiod=35 ........\n",
"[CV] creatSignal__longperiod=138, creatSignal__shortperiod=35, total= 4.9s\n",
"[CV] creatSignal__longperiod=125, creatSignal__shortperiod=7 .........\n",
"[CV] creatSignal__longperiod=138, creatSignal__shortperiod=35, total= 5.2s\n",
"[CV] creatSignal__longperiod=125, creatSignal__shortperiod=7 .........\n",
"[CV] creatSignal__longperiod=138, creatSignal__shortperiod=35, total= 5.3s\n",
"[CV] creatSignal__longperiod=125, creatSignal__shortperiod=7 .........\n",
"[CV] creatSignal__longperiod=125, creatSignal__shortperiod=7, total= 5.1s\n",
"[CV] creatSignal__longperiod=43, creatSignal__shortperiod=30 .........\n",
"[CV] creatSignal__longperiod=125, creatSignal__shortperiod=7, total= 5.0s\n",
"[CV] creatSignal__longperiod=43, creatSignal__shortperiod=30 .........\n",
"[CV] creatSignal__longperiod=125, creatSignal__shortperiod=7, total= 5.0s\n",
"[CV] creatSignal__longperiod=43, creatSignal__shortperiod=30 .........\n",
"[CV] creatSignal__longperiod=43, creatSignal__shortperiod=30, total= 5.0s\n",
"[CV] creatSignal__longperiod=137, creatSignal__shortperiod=74 ........\n",
"[CV] creatSignal__longperiod=43, creatSignal__shortperiod=30, total= 4.9s\n",
"[CV] creatSignal__longperiod=137, creatSignal__shortperiod=74 ........\n",
"[CV] creatSignal__longperiod=43, creatSignal__shortperiod=30, total= 5.0s\n",
"[CV] creatSignal__longperiod=137, creatSignal__shortperiod=74 ........\n",
"[CV] creatSignal__longperiod=137, creatSignal__shortperiod=74, total= 5.3s\n",
"[CV] creatSignal__longperiod=14, creatSignal__shortperiod=35 .........\n",
"[CV] creatSignal__longperiod=137, creatSignal__shortperiod=74, total= 5.4s\n",
"[CV] creatSignal__longperiod=14, creatSignal__shortperiod=35 .........\n",
"[CV] creatSignal__longperiod=137, creatSignal__shortperiod=74, total= 5.6s\n",
"[CV] creatSignal__longperiod=14, creatSignal__shortperiod=35 .........\n",
"[CV] creatSignal__longperiod=14, creatSignal__shortperiod=35, total= 5.7s\n",
"[CV] creatSignal__longperiod=50, creatSignal__shortperiod=64 .........\n",
"[CV] creatSignal__longperiod=14, creatSignal__shortperiod=35, total= 5.8s\n",
"[CV] creatSignal__longperiod=50, creatSignal__shortperiod=64 .........\n",
"[CV] creatSignal__longperiod=14, creatSignal__shortperiod=35, total= 5.7s\n",
"[CV] creatSignal__longperiod=50, creatSignal__shortperiod=64 .........\n",
"[CV] creatSignal__longperiod=50, creatSignal__shortperiod=64, total= 5.3s\n",
"[CV] creatSignal__longperiod=39, creatSignal__shortperiod=101 ........\n",
"[CV] creatSignal__longperiod=50, creatSignal__shortperiod=64, total= 4.9s\n",
"[CV] creatSignal__longperiod=39, creatSignal__shortperiod=101 ........\n",
"[CV] creatSignal__longperiod=50, creatSignal__shortperiod=64, total= 5.2s\n",
"[CV] creatSignal__longperiod=39, creatSignal__shortperiod=101 ........\n",
"[CV] creatSignal__longperiod=39, creatSignal__shortperiod=101, total= 6.6s\n",
"[CV] creatSignal__longperiod=106, creatSignal__shortperiod=37 ........\n",
"[CV] creatSignal__longperiod=39, creatSignal__shortperiod=101, total= 6.5s\n",
"[CV] creatSignal__longperiod=106, creatSignal__shortperiod=37 ........\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"[CV] creatSignal__longperiod=39, creatSignal__shortperiod=101, total= 6.7s\n",
"[CV] creatSignal__longperiod=106, creatSignal__shortperiod=37 ........\n",
"[CV] creatSignal__longperiod=106, creatSignal__shortperiod=37, total= 6.8s\n",
"[CV] creatSignal__longperiod=103, creatSignal__shortperiod=133 .......\n",
"[CV] creatSignal__longperiod=106, creatSignal__shortperiod=37, total= 6.7s\n",
"[CV] creatSignal__longperiod=103, creatSignal__shortperiod=133 .......\n",
"[CV] creatSignal__longperiod=106, creatSignal__shortperiod=37, total= 6.9s\n",
"[CV] creatSignal__longperiod=103, creatSignal__shortperiod=133 .......\n",
"[CV] creatSignal__longperiod=103, creatSignal__shortperiod=133, total= 6.9s\n",
"[CV] creatSignal__longperiod=3, creatSignal__shortperiod=7 ...........\n",
"[CV] creatSignal__longperiod=103, creatSignal__shortperiod=133, total= 6.8s\n",
"[CV] creatSignal__longperiod=3, creatSignal__shortperiod=7 ...........\n",
"[CV] creatSignal__longperiod=103, creatSignal__shortperiod=133, total= 7.0s\n",
"[CV] creatSignal__longperiod=3, creatSignal__shortperiod=7 ...........\n",
"[CV] creatSignal__longperiod=3, creatSignal__shortperiod=7, total= 6.7s\n",
"[CV] creatSignal__longperiod=144, creatSignal__shortperiod=105 .......\n",
"[CV] creatSignal__longperiod=3, creatSignal__shortperiod=7, total= 6.6s\n",
"[CV] creatSignal__longperiod=144, creatSignal__shortperiod=105 .......\n",
"[CV] creatSignal__longperiod=3, creatSignal__shortperiod=7, total= 6.7s\n",
"[CV] creatSignal__longperiod=144, creatSignal__shortperiod=105 .......\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"[Parallel(n_jobs=3)]: Done 156 tasks | elapsed: 7.7min\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"[CV] creatSignal__longperiod=144, creatSignal__shortperiod=105, total= 6.9s\n",
"[CV] creatSignal__longperiod=29, creatSignal__shortperiod=139 ........\n",
"[CV] creatSignal__longperiod=144, creatSignal__shortperiod=105, total= 7.1s\n",
"[CV] creatSignal__longperiod=29, creatSignal__shortperiod=139 ........\n",
"[CV] creatSignal__longperiod=144, creatSignal__shortperiod=105, total= 6.8s\n",
"[CV] creatSignal__longperiod=29, creatSignal__shortperiod=139 ........\n",
"[CV] creatSignal__longperiod=29, creatSignal__shortperiod=139, total= 7.0s\n",
"[CV] creatSignal__longperiod=17, creatSignal__shortperiod=92 .........\n",
"[CV] creatSignal__longperiod=29, creatSignal__shortperiod=139, total= 7.1s\n",
"[CV] creatSignal__longperiod=17, creatSignal__shortperiod=92 .........\n",
"[CV] creatSignal__longperiod=29, creatSignal__shortperiod=139, total= 7.1s\n",
"[CV] creatSignal__longperiod=17, creatSignal__shortperiod=92 .........\n",
"[CV] creatSignal__longperiod=17, creatSignal__shortperiod=92, total= 7.2s\n",
"[CV] creatSignal__longperiod=44, creatSignal__shortperiod=126 ........\n",
"[CV] creatSignal__longperiod=17, creatSignal__shortperiod=92, total= 6.7s\n",
"[CV] creatSignal__longperiod=44, creatSignal__shortperiod=126 ........\n",
"[CV] creatSignal__longperiod=17, creatSignal__shortperiod=92, total= 7.1s\n",
"[CV] creatSignal__longperiod=44, creatSignal__shortperiod=126 ........\n",
"[CV] creatSignal__longperiod=44, creatSignal__shortperiod=126, total= 7.0s\n",
"[CV] creatSignal__longperiod=65, creatSignal__shortperiod=98 .........\n",
"[CV] creatSignal__longperiod=44, creatSignal__shortperiod=126, total= 6.9s\n",
"[CV] creatSignal__longperiod=65, creatSignal__shortperiod=98 .........\n",
"[CV] creatSignal__longperiod=44, creatSignal__shortperiod=126, total= 6.9s\n",
"[CV] creatSignal__longperiod=65, creatSignal__shortperiod=98 .........\n",
"[CV] creatSignal__longperiod=65, creatSignal__shortperiod=98, total= 6.7s\n",
"[CV] creatSignal__longperiod=54, creatSignal__shortperiod=98 .........\n",
"[CV] creatSignal__longperiod=65, creatSignal__shortperiod=98, total= 6.7s\n",
"[CV] creatSignal__longperiod=54, creatSignal__shortperiod=98 .........\n",
"[CV] creatSignal__longperiod=65, creatSignal__shortperiod=98, total= 6.7s\n",
"[CV] creatSignal__longperiod=54, creatSignal__shortperiod=98 .........\n",
"[CV] creatSignal__longperiod=54, creatSignal__shortperiod=98, total= 6.6s\n",
"[CV] creatSignal__longperiod=134, creatSignal__shortperiod=145 .......\n",
"[CV] creatSignal__longperiod=54, creatSignal__shortperiod=98, total= 6.7s\n",
"[CV] creatSignal__longperiod=134, creatSignal__shortperiod=145 .......\n",
"[CV] creatSignal__longperiod=54, creatSignal__shortperiod=98, total= 6.9s\n",
"[CV] creatSignal__longperiod=134, creatSignal__shortperiod=145 .......\n",
"[CV] creatSignal__longperiod=134, creatSignal__shortperiod=145, total= 7.1s\n",
"[CV] creatSignal__longperiod=31, creatSignal__shortperiod=38 .........\n",
"[CV] creatSignal__longperiod=134, creatSignal__shortperiod=145, total= 7.1s\n",
"[CV] creatSignal__longperiod=31, creatSignal__shortperiod=38 .........\n",
"[CV] creatSignal__longperiod=134, creatSignal__shortperiod=145, total= 6.9s\n",
"[CV] creatSignal__longperiod=31, creatSignal__shortperiod=38 .........\n",
"[CV] creatSignal__longperiod=31, creatSignal__shortperiod=38, total= 6.7s\n",
"[CV] creatSignal__longperiod=15, creatSignal__shortperiod=73 .........\n",
"[CV] creatSignal__longperiod=31, creatSignal__shortperiod=38, total= 6.6s\n",
"[CV] creatSignal__longperiod=15, creatSignal__shortperiod=73 .........\n",
"[CV] creatSignal__longperiod=31, creatSignal__shortperiod=38, total= 6.8s\n",
"[CV] creatSignal__longperiod=15, creatSignal__shortperiod=73 .........\n",
"[CV] creatSignal__longperiod=15, creatSignal__shortperiod=73, total= 6.9s\n",
"[CV] creatSignal__longperiod=88, creatSignal__shortperiod=30 .........\n",
"[CV] creatSignal__longperiod=15, creatSignal__shortperiod=73, total= 6.9s\n",
"[CV] creatSignal__longperiod=88, creatSignal__shortperiod=30 .........\n",
"[CV] creatSignal__longperiod=15, creatSignal__shortperiod=73, total= 6.6s\n",
"[CV] creatSignal__longperiod=88, creatSignal__shortperiod=30 .........\n",
"[CV] creatSignal__longperiod=88, creatSignal__shortperiod=30, total= 7.1s\n",
"[CV] creatSignal__longperiod=68, creatSignal__shortperiod=47 .........\n",
"[CV] creatSignal__longperiod=88, creatSignal__shortperiod=30, total= 6.9s\n",
"[CV] creatSignal__longperiod=68, creatSignal__shortperiod=47 .........\n",
"[CV] creatSignal__longperiod=88, creatSignal__shortperiod=30, total= 6.9s\n",
"[CV] creatSignal__longperiod=68, creatSignal__shortperiod=47 .........\n",
"[CV] creatSignal__longperiod=68, creatSignal__shortperiod=47, total= 7.0s\n",
"[CV] creatSignal__longperiod=64, creatSignal__shortperiod=136 ........\n",
"[CV] creatSignal__longperiod=68, creatSignal__shortperiod=47, total= 6.9s\n",
"[CV] creatSignal__longperiod=64, creatSignal__shortperiod=136 ........\n",
"[CV] creatSignal__longperiod=68, creatSignal__shortperiod=47, total= 7.0s\n",
"[CV] creatSignal__longperiod=64, creatSignal__shortperiod=136 ........\n",
"[CV] creatSignal__longperiod=64, creatSignal__shortperiod=136, total= 7.0s\n",
"[CV] creatSignal__longperiod=30, creatSignal__shortperiod=30 .........\n",
"[CV] creatSignal__longperiod=64, creatSignal__shortperiod=136, total= 6.9s\n",
"[CV] creatSignal__longperiod=30, creatSignal__shortperiod=30 .........\n",
"[CV] creatSignal__longperiod=64, creatSignal__shortperiod=136, total= 7.0s\n",
"[CV] creatSignal__longperiod=30, creatSignal__shortperiod=30 .........\n",
"[CV] creatSignal__longperiod=30, creatSignal__shortperiod=30, total= 6.8s\n",
"[CV] creatSignal__longperiod=110, creatSignal__shortperiod=46 ........\n",
"[CV] creatSignal__longperiod=30, creatSignal__shortperiod=30, total= 6.7s\n",
"[CV] creatSignal__longperiod=110, creatSignal__shortperiod=46 ........\n",
"[CV] creatSignal__longperiod=30, creatSignal__shortperiod=30, total= 6.8s\n",
"[CV] creatSignal__longperiod=110, creatSignal__shortperiod=46 ........\n",
"[CV] creatSignal__longperiod=110, creatSignal__shortperiod=46, total= 6.7s\n",
"[CV] creatSignal__longperiod=86, creatSignal__shortperiod=32 .........\n",
"[CV] creatSignal__longperiod=110, creatSignal__shortperiod=46, total= 6.7s\n",
"[CV] creatSignal__longperiod=86, creatSignal__shortperiod=32 .........\n",
"[CV] creatSignal__longperiod=110, creatSignal__shortperiod=46, total= 6.6s\n",
"[CV] creatSignal__longperiod=86, creatSignal__shortperiod=32 .........\n",
"[CV] creatSignal__longperiod=86, creatSignal__shortperiod=32, total= 5.8s\n",
"[CV] creatSignal__longperiod=77, creatSignal__shortperiod=130 ........\n",
"[CV] creatSignal__longperiod=86, creatSignal__shortperiod=32, total= 5.7s\n",
"[CV] creatSignal__longperiod=77, creatSignal__shortperiod=130 ........\n",
"[CV] creatSignal__longperiod=86, creatSignal__shortperiod=32, total= 5.7s\n",
"[CV] creatSignal__longperiod=77, creatSignal__shortperiod=130 ........\n",
"[CV] creatSignal__longperiod=77, creatSignal__shortperiod=130, total= 5.1s\n",
"[CV] creatSignal__longperiod=94, creatSignal__shortperiod=131 ........\n",
"[CV] creatSignal__longperiod=77, creatSignal__shortperiod=130, total= 4.9s\n",
"[CV] creatSignal__longperiod=94, creatSignal__shortperiod=131 ........\n",
"[CV] creatSignal__longperiod=77, creatSignal__shortperiod=130, total= 4.9s\n",
"[CV] creatSignal__longperiod=94, creatSignal__shortperiod=131 ........\n",
"[CV] creatSignal__longperiod=94, creatSignal__shortperiod=131, total= 5.0s\n",
"[CV] creatSignal__longperiod=123, creatSignal__shortperiod=29 ........\n",
"[CV] creatSignal__longperiod=94, creatSignal__shortperiod=131, total= 4.9s\n",
"[CV] creatSignal__longperiod=123, creatSignal__shortperiod=29 ........\n",
"[CV] creatSignal__longperiod=94, creatSignal__shortperiod=131, total= 4.9s\n",
"[CV] creatSignal__longperiod=123, creatSignal__shortperiod=29 ........\n",
"[CV] creatSignal__longperiod=123, creatSignal__shortperiod=29, total= 5.1s\n",
"[CV] creatSignal__longperiod=123, creatSignal__shortperiod=118 .......\n",
"[CV] creatSignal__longperiod=123, creatSignal__shortperiod=29, total= 5.6s\n",
"[CV] creatSignal__longperiod=123, creatSignal__shortperiod=118 .......\n",
"[CV] creatSignal__longperiod=123, creatSignal__shortperiod=29, total= 5.4s\n",
"[CV] creatSignal__longperiod=123, creatSignal__shortperiod=118 .......\n",
"[CV] creatSignal__longperiod=123, creatSignal__shortperiod=118, total= 5.6s\n",
"[CV] creatSignal__longperiod=5, creatSignal__shortperiod=105 .........\n",
"[CV] creatSignal__longperiod=123, creatSignal__shortperiod=118, total= 5.4s\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"[CV] creatSignal__longperiod=5, creatSignal__shortperiod=105 .........\n",
"[CV] creatSignal__longperiod=123, creatSignal__shortperiod=118, total= 5.7s\n",
"[CV] creatSignal__longperiod=5, creatSignal__shortperiod=105 .........\n",
"[CV] creatSignal__longperiod=5, creatSignal__shortperiod=105, total= 5.2s\n",
"[CV] creatSignal__longperiod=139, creatSignal__shortperiod=64 ........\n",
"[CV] creatSignal__longperiod=5, creatSignal__shortperiod=105, total= 5.1s\n",
"[CV] creatSignal__longperiod=139, creatSignal__shortperiod=64 ........\n",
"[CV] creatSignal__longperiod=5, creatSignal__shortperiod=105, total= 5.4s\n",
"[CV] creatSignal__longperiod=139, creatSignal__shortperiod=64 ........\n",
"[CV] creatSignal__longperiod=139, creatSignal__shortperiod=64, total= 5.1s\n",
"[CV] creatSignal__longperiod=53, creatSignal__shortperiod=61 .........\n",
"[CV] creatSignal__longperiod=139, creatSignal__shortperiod=64, total= 4.8s\n",
"[CV] creatSignal__longperiod=53, creatSignal__shortperiod=61 .........\n",
"[CV] creatSignal__longperiod=139, creatSignal__shortperiod=64, total= 5.0s\n",
"[CV] creatSignal__longperiod=53, creatSignal__shortperiod=61 .........\n",
"[CV] creatSignal__longperiod=53, creatSignal__shortperiod=61, total= 5.1s\n",
"[CV] creatSignal__longperiod=120, creatSignal__shortperiod=98 ........\n",
"[CV] creatSignal__longperiod=53, creatSignal__shortperiod=61, total= 5.2s\n",
"[CV] creatSignal__longperiod=120, creatSignal__shortperiod=98 ........\n",
"[CV] creatSignal__longperiod=53, creatSignal__shortperiod=61, total= 5.2s\n",
"[CV] creatSignal__longperiod=120, creatSignal__shortperiod=98 ........\n",
"[CV] creatSignal__longperiod=120, creatSignal__shortperiod=98, total= 5.2s\n",
"[CV] creatSignal__longperiod=115, creatSignal__shortperiod=64 ........\n",
"[CV] creatSignal__longperiod=120, creatSignal__shortperiod=98, total= 5.3s\n",
"[CV] creatSignal__longperiod=115, creatSignal__shortperiod=64 ........\n",
"[CV] creatSignal__longperiod=120, creatSignal__shortperiod=98, total= 5.3s\n",
"[CV] creatSignal__longperiod=115, creatSignal__shortperiod=64 ........\n",
"[CV] creatSignal__longperiod=115, creatSignal__shortperiod=64, total= 4.9s\n",
"[CV] creatSignal__longperiod=54, creatSignal__shortperiod=14 .........\n",
"[CV] creatSignal__longperiod=115, creatSignal__shortperiod=64, total= 5.3s\n",
"[CV] creatSignal__longperiod=54, creatSignal__shortperiod=14 .........\n",
"[CV] creatSignal__longperiod=115, creatSignal__shortperiod=64, total= 4.9s\n",
"[CV] creatSignal__longperiod=54, creatSignal__shortperiod=14 .........\n",
"[CV] creatSignal__longperiod=54, creatSignal__shortperiod=14, total= 4.8s\n",
"[CV] creatSignal__longperiod=41, creatSignal__shortperiod=132 ........\n",
"[CV] creatSignal__longperiod=54, creatSignal__shortperiod=14, total= 5.2s\n",
"[CV] creatSignal__longperiod=41, creatSignal__shortperiod=132 ........\n",
"[CV] creatSignal__longperiod=54, creatSignal__shortperiod=14, total= 5.1s\n",
"[CV] creatSignal__longperiod=41, creatSignal__shortperiod=132 ........\n",
"[CV] creatSignal__longperiod=41, creatSignal__shortperiod=132, total= 5.3s\n",
"[CV] creatSignal__longperiod=133, creatSignal__shortperiod=115 .......\n",
"[CV] creatSignal__longperiod=41, creatSignal__shortperiod=132, total= 5.2s\n",
"[CV] creatSignal__longperiod=133, creatSignal__shortperiod=115 .......\n",
"[CV] creatSignal__longperiod=41, creatSignal__shortperiod=132, total= 5.5s\n",
"[CV] creatSignal__longperiod=133, creatSignal__shortperiod=115 .......\n",
"[CV] creatSignal__longperiod=133, creatSignal__shortperiod=115, total= 5.3s\n",
"[CV] creatSignal__longperiod=103, creatSignal__shortperiod=115 .......\n",
"[CV] creatSignal__longperiod=133, creatSignal__shortperiod=115, total= 5.3s\n",
"[CV] creatSignal__longperiod=103, creatSignal__shortperiod=115 .......\n",
"[CV] creatSignal__longperiod=133, creatSignal__shortperiod=115, total= 5.4s\n",
"[CV] creatSignal__longperiod=103, creatSignal__shortperiod=115 .......\n",
"[CV] creatSignal__longperiod=103, creatSignal__shortperiod=115, total= 5.1s\n",
"[CV] creatSignal__longperiod=83, creatSignal__shortperiod=115 ........\n",
"[CV] creatSignal__longperiod=103, creatSignal__shortperiod=115, total= 5.2s\n",
"[CV] creatSignal__longperiod=83, creatSignal__shortperiod=115 ........\n",
"[CV] creatSignal__longperiod=103, creatSignal__shortperiod=115, total= 5.1s\n",
"[CV] creatSignal__longperiod=83, creatSignal__shortperiod=115 ........\n",
"[CV] creatSignal__longperiod=83, creatSignal__shortperiod=115, total= 5.1s\n",
"[CV] creatSignal__longperiod=4, creatSignal__shortperiod=132 .........\n",
"[CV] creatSignal__longperiod=83, creatSignal__shortperiod=115, total= 5.0s\n",
"[CV] creatSignal__longperiod=4, creatSignal__shortperiod=132 .........\n",
"[CV] creatSignal__longperiod=83, creatSignal__shortperiod=115, total= 5.0s\n",
"[CV] creatSignal__longperiod=4, creatSignal__shortperiod=132 .........\n",
"[CV] creatSignal__longperiod=4, creatSignal__shortperiod=132, total= 5.1s\n",
"[CV] creatSignal__longperiod=56, creatSignal__shortperiod=89 .........\n",
"[CV] creatSignal__longperiod=4, creatSignal__shortperiod=132, total= 4.9s\n",
"[CV] creatSignal__longperiod=56, creatSignal__shortperiod=89 .........\n",
"[CV] creatSignal__longperiod=4, creatSignal__shortperiod=132, total= 5.0s\n",
"[CV] creatSignal__longperiod=56, creatSignal__shortperiod=89 .........\n",
"[CV] creatSignal__longperiod=56, creatSignal__shortperiod=89, total= 5.4s\n",
"[CV] creatSignal__longperiod=131, creatSignal__shortperiod=149 .......\n",
"[CV] creatSignal__longperiod=56, creatSignal__shortperiod=89, total= 5.0s\n",
"[CV] creatSignal__longperiod=131, creatSignal__shortperiod=149 .......\n",
"[CV] creatSignal__longperiod=56, creatSignal__shortperiod=89, total= 5.1s\n",
"[CV] creatSignal__longperiod=131, creatSignal__shortperiod=149 .......\n",
"[CV] creatSignal__longperiod=131, creatSignal__shortperiod=149, total= 4.9s\n",
"[CV] creatSignal__longperiod=128, creatSignal__shortperiod=132 .......\n",
"[CV] creatSignal__longperiod=131, creatSignal__shortperiod=149, total= 5.3s\n",
"[CV] creatSignal__longperiod=128, creatSignal__shortperiod=132 .......\n",
"[CV] creatSignal__longperiod=131, creatSignal__shortperiod=149, total= 5.0s\n",
"[CV] creatSignal__longperiod=128, creatSignal__shortperiod=132 .......\n",
"[CV] creatSignal__longperiod=128, creatSignal__shortperiod=132, total= 5.0s\n",
"[CV] creatSignal__longperiod=55, creatSignal__shortperiod=70 .........\n",
"[CV] creatSignal__longperiod=128, creatSignal__shortperiod=132, total= 5.0s\n",
"[CV] creatSignal__longperiod=55, creatSignal__shortperiod=70 .........\n",
"[CV] creatSignal__longperiod=128, creatSignal__shortperiod=132, total= 4.9s\n",
"[CV] creatSignal__longperiod=55, creatSignal__shortperiod=70 .........\n",
"[CV] creatSignal__longperiod=55, creatSignal__shortperiod=70, total= 5.1s\n",
"[CV] creatSignal__longperiod=125, creatSignal__shortperiod=147 .......\n",
"[CV] creatSignal__longperiod=55, creatSignal__shortperiod=70, total= 5.1s\n",
"[CV] creatSignal__longperiod=125, creatSignal__shortperiod=147 .......\n",
"[CV] creatSignal__longperiod=55, creatSignal__shortperiod=70, total= 5.2s\n",
"[CV] creatSignal__longperiod=125, creatSignal__shortperiod=147 .......\n",
"[CV] creatSignal__longperiod=125, creatSignal__shortperiod=147, total= 5.3s\n",
"[CV] creatSignal__longperiod=40, creatSignal__shortperiod=26 .........\n",
"[CV] creatSignal__longperiod=125, creatSignal__shortperiod=147, total= 5.2s\n",
"[CV] creatSignal__longperiod=40, creatSignal__shortperiod=26 .........\n",
"[CV] creatSignal__longperiod=125, creatSignal__shortperiod=147, total= 5.3s\n",
"[CV] creatSignal__longperiod=40, creatSignal__shortperiod=26 .........\n",
"[CV] creatSignal__longperiod=40, creatSignal__shortperiod=26, total= 5.3s\n",
"[CV] creatSignal__longperiod=71, creatSignal__shortperiod=118 ........\n",
"[CV] creatSignal__longperiod=40, creatSignal__shortperiod=26, total= 5.2s\n",
"[CV] creatSignal__longperiod=71, creatSignal__shortperiod=118 ........\n",
"[CV] creatSignal__longperiod=40, creatSignal__shortperiod=26, total= 5.3s\n",
"[CV] creatSignal__longperiod=71, creatSignal__shortperiod=118 ........\n",
"[CV] creatSignal__longperiod=71, creatSignal__shortperiod=118, total= 4.9s\n",
"[CV] creatSignal__longperiod=100, creatSignal__shortperiod=141 .......\n",
"[CV] creatSignal__longperiod=71, creatSignal__shortperiod=118, total= 5.0s\n",
"[CV] creatSignal__longperiod=100, creatSignal__shortperiod=141 .......\n",
"[CV] creatSignal__longperiod=71, creatSignal__shortperiod=118, total= 5.1s\n",
"[CV] creatSignal__longperiod=100, creatSignal__shortperiod=141 .......\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"[CV] creatSignal__longperiod=100, creatSignal__shortperiod=141, total= 5.1s\n",
"[CV] creatSignal__longperiod=146, creatSignal__shortperiod=99 ........\n",
"[CV] creatSignal__longperiod=100, creatSignal__shortperiod=141, total= 5.3s\n",
"[CV] creatSignal__longperiod=146, creatSignal__shortperiod=99 ........\n",
"[CV] creatSignal__longperiod=100, creatSignal__shortperiod=141, total= 5.1s\n",
"[CV] creatSignal__longperiod=146, creatSignal__shortperiod=99 ........\n",
"[CV] creatSignal__longperiod=146, creatSignal__shortperiod=99, total= 5.1s\n",
"[CV] creatSignal__longperiod=126, creatSignal__shortperiod=72 ........\n",
"[CV] creatSignal__longperiod=146, creatSignal__shortperiod=99, total= 5.3s\n",
"[CV] creatSignal__longperiod=126, creatSignal__shortperiod=72 ........\n",
"[CV] creatSignal__longperiod=146, creatSignal__shortperiod=99, total= 5.3s\n",
"[CV] creatSignal__longperiod=126, creatSignal__shortperiod=72 ........\n",
"[CV] creatSignal__longperiod=126, creatSignal__shortperiod=72, total= 4.8s\n",
"[CV] creatSignal__longperiod=95, creatSignal__shortperiod=5 ..........\n",
"[CV] creatSignal__longperiod=126, creatSignal__shortperiod=72, total= 5.2s\n",
"[CV] creatSignal__longperiod=95, creatSignal__shortperiod=5 ..........\n",
"[CV] creatSignal__longperiod=126, creatSignal__shortperiod=72, total= 4.8s\n",
"[CV] creatSignal__longperiod=95, creatSignal__shortperiod=5 ..........\n",
"[CV] creatSignal__longperiod=95, creatSignal__shortperiod=5, total= 5.2s\n",
"[CV] creatSignal__longperiod=149, creatSignal__shortperiod=92 ........\n",
"[CV] creatSignal__longperiod=95, creatSignal__shortperiod=5, total= 5.0s\n",
"[CV] creatSignal__longperiod=149, creatSignal__shortperiod=92 ........\n",
"[CV] creatSignal__longperiod=95, creatSignal__shortperiod=5, total= 4.9s\n",
"[CV] creatSignal__longperiod=149, creatSignal__shortperiod=92 ........\n",
"[CV] creatSignal__longperiod=149, creatSignal__shortperiod=92, total= 5.7s\n",
"[CV] creatSignal__longperiod=149, creatSignal__shortperiod=98 ........\n",
"[CV] creatSignal__longperiod=149, creatSignal__shortperiod=92, total= 5.4s\n",
"[CV] creatSignal__longperiod=149, creatSignal__shortperiod=98 ........\n",
"[CV] creatSignal__longperiod=149, creatSignal__shortperiod=92, total= 5.8s\n",
"[CV] creatSignal__longperiod=149, creatSignal__shortperiod=98 ........\n",
"[CV] creatSignal__longperiod=149, creatSignal__shortperiod=98, total= 5.2s\n",
"[CV] creatSignal__longperiod=54, creatSignal__shortperiod=130 ........\n",
"[CV] creatSignal__longperiod=149, creatSignal__shortperiod=98, total= 5.2s\n",
"[CV] creatSignal__longperiod=54, creatSignal__shortperiod=130 ........\n",
"[CV] creatSignal__longperiod=149, creatSignal__shortperiod=98, total= 5.6s\n",
"[CV] creatSignal__longperiod=54, creatSignal__shortperiod=130 ........\n",
"[CV] creatSignal__longperiod=54, creatSignal__shortperiod=130, total= 5.2s\n",
"[CV] creatSignal__longperiod=41, creatSignal__shortperiod=84 .........\n",
"[CV] creatSignal__longperiod=54, creatSignal__shortperiod=130, total= 5.1s\n",
"[CV] creatSignal__longperiod=41, creatSignal__shortperiod=84 .........\n",
"[CV] creatSignal__longperiod=54, creatSignal__shortperiod=130, total= 5.2s\n",
"[CV] creatSignal__longperiod=41, creatSignal__shortperiod=84 .........\n",
"[CV] creatSignal__longperiod=41, creatSignal__shortperiod=84, total= 5.1s\n",
"[CV] creatSignal__longperiod=106, creatSignal__shortperiod=131 .......\n",
"[CV] creatSignal__longperiod=41, creatSignal__shortperiod=84, total= 5.2s\n",
"[CV] creatSignal__longperiod=106, creatSignal__shortperiod=131 .......\n",
"[CV] creatSignal__longperiod=41, creatSignal__shortperiod=84, total= 5.3s\n",
"[CV] creatSignal__longperiod=106, creatSignal__shortperiod=131 .......\n",
"[CV] creatSignal__longperiod=106, creatSignal__shortperiod=131, total= 5.0s\n",
"[CV] creatSignal__longperiod=13, creatSignal__shortperiod=44 .........\n",
"[CV] creatSignal__longperiod=106, creatSignal__shortperiod=131, total= 5.0s\n",
"[CV] creatSignal__longperiod=13, creatSignal__shortperiod=44 .........\n",
"[CV] creatSignal__longperiod=106, creatSignal__shortperiod=131, total= 5.3s\n",
"[CV] creatSignal__longperiod=13, creatSignal__shortperiod=44 .........\n",
"[CV] creatSignal__longperiod=13, creatSignal__shortperiod=44, total= 5.5s\n",
"[CV] creatSignal__longperiod=101, creatSignal__shortperiod=9 .........\n",
"[CV] creatSignal__longperiod=13, creatSignal__shortperiod=44, total= 5.0s\n",
"[CV] creatSignal__longperiod=101, creatSignal__shortperiod=9 .........\n",
"[CV] creatSignal__longperiod=13, creatSignal__shortperiod=44, total= 5.5s\n",
"[CV] creatSignal__longperiod=101, creatSignal__shortperiod=9 .........\n",
"[CV] creatSignal__longperiod=101, creatSignal__shortperiod=9, total= 4.8s\n",
"[CV] creatSignal__longperiod=101, creatSignal__shortperiod=9, total= 4.9s\n",
"[CV] creatSignal__longperiod=101, creatSignal__shortperiod=9, total= 5.0s\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"[Parallel(n_jobs=3)]: Done 300 out of 300 | elapsed: 15.2min finished\n"
]
},
{
"data": {
"text/plain": [
"RandomizedSearchCV(cv=None, error_score='raise',\n",
" estimator=Pipeline(memory=None,\n",
" steps=[('creatSignal', creatSignal_b(creatfunc=, longperiod=5,\n",
" shortperiod=30)), ('backtesting', AlgorthmStrategy_b())]),\n",
" fit_params=None, iid=True, n_iter=100, n_jobs=3,\n",
" param_distributions={'creatSignal__longperiod': , 'creatSignal__shortperiod': },\n",
" pre_dispatch='2*n_jobs', random_state=42, refit=True,\n",
" return_train_score='warn', scoring=None, verbose=2)"
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 回测时间设置\n",
"startDt = factor_df.index.min().strftime('%Y-%m-%d')\n",
"endDt = factor_df.index.max().strftime('%Y-%m-%d')\n",
"\n",
"# 基准\n",
"benchmark = get_price('000300.XSHG',startDt,endDt,fields='close',panel=False)\n",
"\n",
"\n",
"returns = benchmark['close'].pct_change().reindex(factor_df.index)\n",
"\n",
"# 构造PIPELINE\n",
"ivr_timing = Pipeline([('creatSignal', creatSignal_b(5,30, talib.SMA)),\n",
" ('backtesting', AlgorthmStrategy_b())])\n",
"\n",
"# 寻参范围设置\n",
"## 阈值\n",
"\n",
"randint = st.randint(low=3, high=150)\n",
"\n",
"# 超参设置\n",
"param_grid = {'creatSignal__longperiod': randint,\n",
" 'creatSignal__shortperiod': randint\n",
" }\n",
"\n",
"\n",
"grid_search = RandomizedSearchCV(\n",
" ivr_timing, param_grid, n_iter=100, verbose=2, n_jobs=3,random_state=42)\n",
"\n",
"grid_search.fit(factor_df, returns)"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'creatSignal__longperiod': 17, 'creatSignal__shortperiod': 109}"
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 最优参数\n",
"grid_search.best_params_"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 32,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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55/P44otPAdi5c3tgasHOnTtwu52sXLkam81Gq1at6dnzJMCYhmC32+ncWQVg1aoVnHzyqSQnJzN69N1kZR1i4sSx3HHHGNxuN/Pnf89llw0LTH9YvXol8+d/z8cff8ncuXPIzc1h1KjRjB17B6+//hb33HM3Xq83EGN2dhZPPfU4d945lry8XO6++07Gjp0YON+v34CQ9SDmz/+effv2ccMNN4W81+XLl7F27V/07TuASy/9B9988yVFRYXk5GSTnr6BxMREHA5HhV+nCy+8hHnzPiQ5uUndvuBCCCGEEEIIEUV0qxVfairFd4wm5t3ZmHJzIx1SvYuKpEKkXHrpP7j00n+QnZ3FlCmPMH3684CxCOI777xFXp4LgBdfnEnfvv3p1KkzigLx8fGcffa5rF27mqVLl3DyyacG2mzSpCnPPDOT2267kaKiIt58852QBRl79TqF1q3bMG3aUzgcDiZNup+nnnqUK6+8BkVR8Hq92O0xeDwFACxY8DO33jqKrl27AXDSSSfzu39eT02cdtoZeDwe1q9fy6efzuWrrz7H5/Ny8OABPvvsEwDS0poBodMfAPr27c9pp50RqCeEEEIIIYQQxwKlqAg9Nt44sNnB5YpsQBEgSYUqeDweXnjhWQYMOKvSegkJCSQnJ+NwOHA4Ylm6dDHvvfc21103IlAnNzeHJUsW8cknH3Huuf9H06ZNGT9+NIMHD+G88/6PTp06k52dzbhxoxkx4mZ69+7DQw/dS4cOHRky5HzAmEaRkJBAYWEBy5b9we7du/nyy8/LxbNz544av1dd11EUhcsvH8bllw8jPz+fyZPvZ8aMFwJ1Vq5cHpj+MG6csS6DxWIJrDehKEqN7yuEEEIIIYQQ0UgpLMDXshUAeowdxSnTH0QZd911G506HcfFF192xDqjR99druz88y/i/PMvChwvXvwbs2e/wcCBg5g6dQapqcZiikOHXsZ3333Df/7zJFdffR1nnz2Yd96ZQ3Z2FnfddTsjRtzMkCEX8NZbb/Lzzz9y3HFdAg/uwVtKlo/p9pBjp7OEu+++i+zsLG6/vfwijRs2rGfGjKcZOXJUpV+Pzp270KxZcwCeffalQPljjz3EmjWrefLJZyq9XgghhBBCCCEaBbcbJT8fXU0CQLfHGGsq6DocQx+2KrquRzoGMjLyIx/EEbjdbqxWa7nytLQEMjLyj+q9vV5vyNQIET710X/i6JC+i17Sd9FN+i96Sd9FL+m76Cb9F72q23embVtp2rsXJVdeTf5Lr5N05aXYFvxCxq4MsNvrIdL6k5aWcMQsiak+A4lGFSUU6oskFIQQQgghhBCiYVAOHAhZM8G8fRtg7AABoMfEGPVczvoPLoIkqSCEEEIIIYQQQlTCtHsXqT27kHDX4Wnm5ZIKdiOpQIkkFYQQQgghhBBCiGOaae8eHC8+B2435o3pAMR8Pi9w3rxjO3A4qVA65UEpLqrXOCNNFmoUQgghhBBCCCHKSBg/BtvP81HcLrwdO5U7Hxip0N5IKpTWiX/4fvLe+l/9BRphMlJBCCGEEEIIIYQow7RtKwCWv1Zj/X3x4RPFxYCRVNBj49DT0gAoGjMOd8+TsH/zJUpuTr3HGymSVBBCCCGEEEIIIcpQ/Isy6nFxWFatCJSb/ckG08H9eFu1Orx9pN2Ot0tX49qiY2cKhEx/qMT555/Nd9/9GjgeNmwos2e/T1xcHPfddx+atgm3283FF1/KgAEDeeaZJ8nPz8flcnHrraPo06c/Ho+HqVMfZ9eunTRv3oIHHngEu93OqlUrePnl5wGdm2++nb59+0fsfQohhBBCCCGECKXk5QFgWbMapbgkUB7/wD3kzvsKJTsbvUPotAg9Nta49hhaV0GSCrWwbNlS8vPzee212QA4nSVYLFbGjp1I69ZtyMg4yJgx/6RPn/78/POPxMcn8Nprs3n99Zf56qvPueKKq5g58xmmT38Bi8XKnXeO5Mwz+2IyycARIYQQQgghhIgon4/kC87BlO9PKmjpIadti3/DsnwZiteLLzk55JzucBgviorrJdSGQJ5ia8HjceN0Ht4mxG6PwWw207p1GwA2bdqI1Wrka5YvXxYYhdC37wBWrPiT/fv34XDEkpqaRnJyMi1atGLr1i31/0aEEEIIIYQQQoTKycG6Ynm5Yk/3HoHXKRedB4CeFJpUwOEfqVBy7CQVomKkwubN6WRk7A9rm2lpLejcuVuldYqLixk9+vA+pFlZhwA4/fTevPvuLMaMGcVdd42lW7fjAVi3bg0zZvyH3NwcJk+eErgmyf+NlpKSQnb2IX9ZUqDdlJRksrMPAV3C+RaFEEIIIYQQQtSUf9pDWb6WLfF43Fg2bQyU6bFxIXVKRypYVy7Hc9oZRy/GBiQqkgqR4nA4ePHF1wPHw4YNBYyRCXPmzOGVV95kwoQxjB07kSFDLuCEE05k1qz30LR03n//bU48sRcejwdd1wHQdR232+MvO3wfXQe321Ov700IIYQQQgghRAVycyss1q1W9BhHSFnxHaNDjs07tgMQ/+C9KIcyKbl2BL72HY5GlA1GlUkFVVXbAC8AzQAfcJ2maTuDzv8ExAEe4HtN0x5XVdUC/BfoCuwEbtQ0raRc49XUuXO3KkcV1Debzca1195Ajx4n8NprLzFkyAWBc6raDU3TyMnJoUmTpuTlGd+UpcfBZcHlQgghhBBCCCEiLCip4G3TFvPuXYB/N4iYmMC5zPVbAttJljLt3xd4HffsNOzffk32wj+OcsCRVZ01FQqBpzVN6we8B0wsc74JMEDTtP6apj3uLxsO5Gia1gfYBIwMV8ANQWFhQeC10+kkNTWNzMwMXP4tR/bs2U1hYQEJCQn06nUKS5YsAmDJkt/o1esUWrduQ05ODpmZGeTk5LBr106OO65zRN6LEEIIIYQQQoggQdMfsn9eRNaCpXi6qhRMnoLuXzPBl9asXEIBoODRJ0OOzdu3Hd1YG4AqRypompYNLPUf7gX6lW1D0zR3mbJzgQ/8r78C7gFeqkOcDcrSpUsYO/YdbLYY7HY7Eyfex9atW3jxxWeJjY3D7XZz//2TMZvNXHjhUJ566lFuv/0mmjVrzkMPPYqiKEyadB/33jsBgLFjJ2C1WiP8roQQQgghhBBCkJEBQP7Ml9CTU/Amp5C96E/jnM8LgPcIUxq83Y8POdattqMWZkNR0zUVrgC+LFNmU1X1V//rxzVN+wloDmT6yzL8x1Hnu+9+DTmeO9d464MHD+Hqq68gIyM/cK516za8886H5dqwWCw89NDj5cpPPfV03nzznfAGLIQQQgghhBCibnYZ0x28LVuVO6X4R63r8fHVa8va+JcxrPY7VFX1QqANMDe4XNM01X++I7BQVVUVsAKKv4oCVJqeSUmJxWIx1yDshiEtLSHSIYg6kP6LXtJ30Uv6LrpJ/0Uv6bvoJX0X3aT/otROYwnB5J4qlO1Dr7HAvs1urVb/mmy2Rv99UK2kgqqqnYBngHM1TdMrqqNp2jZVVfcCrYEDQOnKg6lApftBZmcXVTvghiItLSFkpIKILtJ/0Uv6LnpJ30U36b/oJX0XvaTvopv0X/RKW70a3WYjMyENyvRhfM9eONaswWmNIe8I/Ru80oKvsIhDjeD7oLLESHV2f4gHPgRu0TRtn7/sMWA58ANg0zQtT1XVNIwdInYCC4CL/Ocv9h8LIYQQQgghhBANV1ER/PUXnpNOBru93OnCx59Cj0+g+K5/Vas5z6mnhTvCBqc6IxVGAx2B6cbMBpzAZiDB/+cbVVXdgBkYrWmaU1XVt4BZqqouBXYBI45C7EIIIYQQQgghIiT26SfQ4+IpHj020qGEjWXNX+Dx4D7t9ArP6/EJFD7+VKVtZH/3M6Y9u0kaOQL0Cgf6NyrV2f1hKjC1kirlvtr+3SBuqENcQgghhBBCCCEaKMerLxI3/WkASm66BT2+cawbYF1h7PLgObXipEJ1eE45DU4+FV1RUEpKwhVag2WKdABCCCGEEEIIIaJL/MP3B17bfvw+gpGEV2lSwV2HpAIAigIOB0peXhiiatgkqSCEEEIIIYQQotZs33wV6RDCxrJuDaSl4WvTts5teXqehDn9b5TcnDBE1nBJUqESPp+PJ598lFGjbuaWW65n3ryPK6z33/++xkcfvQ/AsGFDyc+P/tU9hRBCCCGEEKI6zNu3RTqE8NB1TPv3Qfv2xkiDOvJ26Iii6yg5jTupUK0tJaPBp5vmMnPFdDZmp9M1pRt3nzqBy7sMq1Oby5YtpaCggNdemw2A09n458MIIYQQQgghRE2YDmVGOoSwUHJzjDUQWrYMS3u6PcZo1+kMS3sNVaNIKny6aS6jfrwlcLwha33guC6JBY/Hjct1+BvAbo/h998X8e67b6HrXq6//hb69RtQ+8CFEEIIIYQQIsqZsg5FOoSwMGVkGC+aNw9Le3qMf0vKRp5UaBTTH2aumF5h+XMrZ9Sp3dNP701WVhZjxowiPf1vnE4nb731X55//lXeeustnntuWp3aF0IIIYQQQohopxQVQXFxpMOos8DaB02ahKdBm5FUUBr5iPdGMVJhY3Z6jcqry26P4bXXZvPxx3OYMGEMV111Lbt37+Tuu+/EZrOgKArFjeCHRwghhBBCCCGqze0GwNX/LPT4BOzffY153x4sa9fgPP8isNsjHGDtKKVr4yUmhqU93V6aVGjcIxUaRVKha0o3NmStr7C8rqxWK9deewM9epzAxIlj6d79eJ5//lXS0hLIyJAFGYUQQgghhBDHFiU3FwA9OQXdZAx+j580Httvv1J430MUjZsUyfBqTcn3b/+YlBSW9vQYY00FGvlIhUYx/eHuUydUWD72lPF1arewsCDw2ul00rt3H3bv3sUh/0IkuY18axAhhBBCCCGEKMu6bCkAvubNwWJ8Tm377VcAlMLCSIVVZ6Ywj1Q4PP3BFZ72GqhGMVKhdDHG51bOCOz+MPaU8XXe/WHp0iW8++5bxMbGYrfbmTjxPnbu3M69947HbrfRokVrHnzw0XC8BSGEEEIIIYRo+HSduKceQzeZKL7pVmJfei70vM8XmbjCQMkL80gFu6ypEFUu7zKszkmEsgYPHsLgwUNCylq3bkOfPv1Dpj+MHDkqcH7u3C/DGoMQQgghhBBCNBRKbg4WLR3XoMF41W7oVltoBXc1PpXXdaxLFuFr0hTMZrxd1eoH4PEERkeEm5KbbbxITg5Pg6XTH0oad1KhUUx/EEIIIYQQQghRD1zGIo2+BP8UAWvoA77iqjqpYPv2a5Ivv4gmA88k+fxzqr3lov3zeaR2boN97oc1ixnA58P6689YF/4Kul7+vMuFecsW43VaWs3br0BgpIIkFYQQQgghhBBCCFA8RlKhdLRAuZEK1UgqmLdtDbw2FeRjSf+7ymtM27eReNtNKEVF2L7/tvoB+9l+mU/yVZeRPOwSbD/9cPhEYSFKXi7x94wj5vN5Rllqao3br4ivRUsAzHt2h6W9hkqSCkIIIYQQQgghqse/nSRWq/G3LTSpUJ2RCnqZ6QXmLZurvCbms08Cr62rVmD78jMsq1dWeV3gHuvWBl5blv0ReN3k7D6kdm6L4/13D1du0qTa7VbG27mLce/Nm8LSXkMlSQUhhBBCCCGEENWi+JMKuj+poJeZ/lCdNRWUImOHiJKrrgHAtHdvldfYvvgM3WqlZPi1mHfuIGnkCJIvHgJFRdWK2xL0YG9ZtwbcbpSsQ5h3bA+pVzhuYtjWbPA1a44vPgHzlsadVGg0CzUKIYQQQgghhDjKyo5UUEI/p7b98jPxk8ZV2oTj7f8C4OnSFQDT3sqnB5i3bsa6bg3Oc4dQfNNIYj5837i1y4V11Qrc/QZUfN3mTSTceSsFT8/AvHlj4J72+T/geOVFLH+vC6lffM31FN33MHGVRlMDioKvXXssf68j5azeYDLj6daN/Ff+C4oSrrtEnCQVhBBCCCGEEEJUS+maCqUjFfB5Q86bcnMCSYOq+Nq0Na7JyTlc6HYbCykGTauwf/EZAM5LLsfb6bjQ+2UcPGL79i8+xbp6FSn/NwgAT+cu5L73EU1798KyYX252D29TqlW3DVSUgyAJX0DvqRkzPHxxrabZnP47xUhklQQQgj+OZmeAAAgAElEQVQhhBBCCFE9pSMVLEZSQXGWn+5QcvkVFE24t8LLlexsUoYOAcDXvIVRVpAfON+0V3fweTm0YVugrHTqg+uCi9CTksn97ztY1q8lbsYzmHbuRMnJDrmHHhdvjKQojdXPsnlTYPFE06FMfM2ah8Z908gq335ZPp+XzMyDNGmSisX/NQk536o1bN1C8Y0jKXjm2Rq3Hw0kqVCJgQN706NHT3w+H3Fx8UyePIXExMRIhyWEEEIIIYQQkeH2GH/7RyqYd+4AwNu+Q2B9guKbb8fbVa34eu/h0QGlCxkqBQWBssDIA10HRQmZ+qAnGQs8uoZehp7WDGY8Q/yUycRPmRx6i/YdyPp9JaaMjJBy57lDwOFAj43DsnJFYKSEt0NHYwRELaYkZGYeZP361TgcsZxwwsnExSWgBLWT//wrxD39BIX3P1TjtqNFo1mo0f7pXFIG9iG1ZQopA/tg/3Rundt0OBy8/PKbvPrqLNq2bct3330dhkiFEEIIIYQQIjoFpj/4FzN09esPQPHI2wN1PGf0PnIDQcP+fS1aojsc2BYtxPblZ5gO7D98n6wsIHTqQzD3KadRPOIWnBdcHPLH26Yt5h3bMe3fV26ryvxX3jTu27QpprxcLH+vw3XOuWQt+4vcOfNq9HUIxOFfmLK4uIg//1zMr79+h8dzeISEr01b8l94FT0lPDtKNESNYqSC/dO5JI66JXBs2bCexFG3kAc4Lx8WlnsUFRWRlpYGwLBhQ1mw4FcAnntuOl26dGXbtq20b9+Biy++FLfbzfDhl/Hxx19gbkRzZYQQQgghhBDHuDILNZbcfBvuM/rgPaEnltUr8bVoBabKP7vO+m0ZWIznJKXYWHMgaeSIkDoWbQPuvv2xffWFMfXh/AtDG7HZKJg2s1zbcY89TOyLM4l74lGsy5aiW62Hd6woHelw9mAc784GIHfWezV48+V5PMbIjdat27Fnz04ACgsLSEpKqVO70aTKpIKqqm2AF4BmgA+4TtO0nf5zNuAZ4HTAAUzSNG2+qqoDgA+Brf5mhmuatucoxA9A7MzpFZc/N6NOSYXi4mJGj76dQ4cyOf74Exg06Nwj1h04cBDvv/8uF198KevWraFXr1MkoSCEEEIIIYRoVBT/J/N66foBJhPenicCkP/qrGq14VW7VVkn5p3ZuPv0w7xlM96u3dCTq/eQ7mthrNMQ88lHADgvvgTbwl8pufKaQB09Jait2NhqtXskXv90jmbNWmKz2dm2bRNOp7NObUab6kx/KASe1jStH/AeMLH0hKZpLuA7TdP6AlcDM/ynmgKzNU3r7/9z1BIKAOaN6TUqry6Hw8GLL77OBx/MIzExiY8++uCIdXv06Mm2bVtwuVz8+ecf9O3bv073FkIIIYQQQogGp3RNBVv5RQlrI+fzbyssj5n3MfZP52IqLMCXlFTt9oqvvynk2HXhUA6t20zhY08eLht8HgCFd0+krkpHKlgsFmJjjc0onc6SOrcbTaocqaBpWjaw1H+4F+hX5vy3QeeS/a+bAJlhirFK3q7djC1BKigPl969+wTWVAheeKOkpCRQdvrpvVm1agWrVq3gmmtuCNu9hRBCCCGEEKJBKLulZB25+/TDfeppWFcsL3eudD0FPSGh+g0GjTzI3LrH2AmizAKM7j79OLTq78BOEHXh9RpJBbPZgt0eA0hSoSpXAF9W89ytqqoOA1YDEzVNKz5SoykpsVgsdZgq8PCDcM015YotDz1AWloNvgHLUBQlcP2OHZs4/niVtLQEUlObsmvXLlq0aEF6+jr69j2DtLQELrnkIr799lsSEuLo1KlVre8r6kddvjdEZEnfRS/pu+gm/Re9pO+il/RddGuU/ecwHiETUhJICNv7042/Bg+G/v2hsBCmTcOeZixuaE9rWrOv5fDhoGmkdqzkmSyte6VNVPd+GzcafzdvnhwYtaAo3sbZ90dQ7aSCqqoXAm2Actsq+NddmAicA6Bp2ixglqqqCvAcMB544khtZ2cX1SzqsgZfhP21WcQ+NwPzxnS8XbtRNHY8zsEXQUZ+1dcfQVFREcOGXYXP56NJkyY8+OCjZGTkM3z49YwaNYomTVLp0qUb+fklZGTk07FjdxYsuI9hw4aTUYf7iqMvLS1B+ihKSd9FL+m76Cb9F72k76KX9F10S0tLIHPTTuzz5uK8cjh6QuPYmj4mI4cEIM+l4wzT92eTzEOYgZLEZPLvmoBl7V+kTJsGb78NQLFPoaAm93rhDePvWsZXk5+9oiJjVEJOzuHRCXl5BY3uZ7eyJEm1kgqqqnbCWJDxXE3T9DLn7BiLMt6tadrB4HOapumqqn4LXF/ToGvKefmwsO30UGrBgj8qLD/77MFceeVl5b5RzGYzzZu3oF+/s8IahxBCCCGEECL6xHzwP+In30/ctKnkvfQ67v5nBXZNiFZKXi5AWJMkvhYtMe/YjrdTZ+O4TNveTseF7V514Xa72LBhDe3bHxfY3cHj8WAymTD5d7yw2ezH3PSHKhdqVFU1HiNpcIumafv8ZY+pqnqJv8prwEeaps0PuqZZUBMDgDXhC7nh2rNnNy6Xi7Zt20U6FCGEEEIIIUSEmbcbm+GZMjNIHn458Q/+O8IR1Z2SlweAnhi+pELei69ROOHfFN/2T6PtoIUZ8155k+JRd4XtXjWVmXkAt39Lys2b0zl0KINNm/4OnPd6PSG7/tntRlJB1/VybTVW1RmpMBroCExXVRXACWwGElRVPRO4DuisquqV/vq3A5f4j0uAHcCt4Q68oXnnnVl8882XTJp0f6RDEUIIIYQQIoRy4AB6WhooCvbP5+EacDZ606aRDqtx8vkwbd8Gy/bgmP1myKmYd2ZT8PSMI1wYHZT88CcVfO07UPTvBwLHekoTCsdPwnPiybguvDhs96mp/Pxc1q5did0eQ9++g8jI2A+A3e4I1DGSCocfq2NiYsnPz6OoqJC4uPh6jzkSqrP7w1RgaiVVKhq/83cV1zQ6I0bcwogRt0Q6DCGEaBiKi3G8+RrugWfjObFXpKMRonHQdSzL/sBz8ilgs0U6GhFFrEsWkXzZhRQ8+AjugYNIvP1mAHK++K5a1+sOB56eJ4GpOrvRi5i3Z5Hw7/EVnlO83nqOJvxKRyqUnaIQbkX3PnRU26+O0oUXnc4SsrMP4fX3n8lk7Cah6zoejweH4/COEykpTcnI2E9eXo4kFYQQQoha0XWSrrsS26KFeP53HNlLV0U6IiEaBdv870m67irynnsZ5zVHfbkq0YjYP/0EgNjnnyWv50mB8uRLzq92G3mvzQr7+mWNlXmTFnLs7nkSziuHE/+wMaI5dsZ/KBp/TyRCCwtTYPpDUhU1o5/PdzgJlJOTFXhdVGRsNFBSUozX6w1JKlj9a2Z4G0ECqbokqSCEEEeDrhPz/ru4+vbH17FTpKOpXyUl2BYtBMCydQsUF4PDUcVFQoiqWBf+CoB5/77IBiKijpKTbbywWVH8D0Pedh0oGXZlJVcZzNu3ETNvLqZdu45miI2KKSsr5Fjx+Sj+52jsX3+J9Y/fiZs6JaqTCkdjTYWGqKAgj/379waOt2/fHHLO7XaTm2v8bJUu2ggE1lfwej31FGnkSVJBCCGOAsu6NSSMGw2Ac+hlFVeqbAGfqhb3qe21lbZb+T19rVpT8MR/IGgxoooohYUhx7HPTWsQQxiFiHbWZUuNF8XFkQ1ERBXzlk3Yv/kSAF/zlijFRlKhaOx4Sm64qcrrLUt/J2beXJSCxrU93tFk2ud/EF24EM46i4JHpgBQ8OR/SBk8AF9as0qubviUvFx0h6PRT8NavnxJpYstpqevJTPzAADJyU0C5aXrK8hIBSGEEHViXr8u8Nr+5WcRjCS8iq+7EW/PEyutoxQWhBw73n1bkgpC1FVREZa1xmZapQ+FQlSH/eMPUfwr1wOBkQp6NUeQ6fHGnHBJKlRPzPvvYvt9MZ5u3bEMGEDGwbzAOU/Pk9AtFrztO0QuwDBQ8nKP+noKDcGREgrNmrXk4MF9gYQCQFxcQuB16UiF7OxDRzfABkSSCkIIcRRY/EmF3Lc/wH167yNXVJRKzlVyg0qvq+zC2l3rePUl4qZNxbx/b9VJBf8vrK6zBmFb+AuugYMqj0cIUSXrqhUo/gXDlCIZqSCqL/CpOYCzBKXIGE2mx8ZV63o9wXhYMuVLUqE67J98DBj//1e0t4Ye44CSkvoNKsxM+Xn4klOqrhjlLBYrHo+7XHlsmZ+d9u2PwxS0iGlpUiEvL4e9e3dhs9lITW1+dIONMEkqCCHEUWD520gquAechR6fUEXthq/0UxXT/v2BMiUnG72CXypKRyp427Y1jmWothC153ajFBYcnvqAjFQQNVO6BocvJQXL5k2BxQL12NjKLgsoTSooklQ4ItO+vfiSkiE2FtOhTHwJiUdeT8nhiPqfYSUvD71d+0iHcdQdaaSCyXR4GmhiYhKdOnU94nlNM34fHDTogqMQYcMh+8IIIUS46TqW9WvxdujYKBIKAL6WrQAw7dlF/MS7SbzxWlK7tsf+wXvl6pauqVA6Z1QpKoRjaF6hEOEU//B9xs/a3A8DZZKoE9Xm9aJkZKDHxqEnJYec0h3VTSoYw9yVvNywh9cYKHm5NOlzKsmXXmD8///3OvSUI3+KrztiUaJ5pEJJCYrLFfi+aKx8Ph9er4eYGAft2x/HwIH/R6tWbenRo1dgJAKAzRZT7lq7vXxZYydJBSGECDMlPw9TVhaermqkQwkbX4uWAMTNeAbHO7Owf/uVcfzEo+Xqmg4Yoxn0pk3RFQXbLz/RpFd3KLOAoxCiao7/vg6AZdNGvG2M0T/2r7+IZEgiSsQ++wxpLVOwbN6ILykJ8/ZtIef11IoG51fAasWXlIxt0ULiHns46ofuh5t18SKUokKsf60i/r6JACiHjjyXXnfERPVIBeUY2U6y2J+8TUpKplOnrphMJlT1BJo1axmSVIiv4MMjRVFo3rxVvcXaEEhSQQghwqz0k/rGMkoBwNeiRcUnYmNJuO0m4ieMDRRZlywCwN2nH4p/6KD5wH7QtAqbEEIcQZmHN9dZZwdeKxkZ9RyMiDZxTz0OgFJSEpjCEMzX/Aj/rlfAlJsDQOyLM7GuXB6eABsox/MzcDw3vdr1rb/9evjaWW8A4O4/4Ij1dYcjqkcbmfKNESu+Rr6dZKH/d7mYmPIjeoKTCk2bplV4ffAaC8eCY+vdCiFEPSj9BKLsfNUNG9bw999/Vbo9UUOlJyTiHHze4WP/go6+pqnEfD4Px7uzA+dMWcYnNOVWt94W+imZEKJyFm1DmQIrxddcD4Ap42Ddb+DzYd60se7tiAbJ0/34wOuKhqrrcfG1a7gRj1SwLP2d+CmPEP/Eo8T4EwRVsf22AN1qDSkrmnRfJRfYwemsQ5SRFRip0MinP5SOVKhoKkNc0M9OQkLFIzaKio6t0ZmyUKMQQoRbYfmkgq7r7N+/B4CDB/fRv/9gLBZrhZc3SIpC3gefkNqhBUpREcW334Fj9pvlHkisP8/HvGUzuqKgJyTibdcB887txsmDYXgIEuIYEvfkYwCUDL8Wy+qVFP1rHDEfvg8YW9V6N1Vz9E+iA3te+U9G4yY/gHnvHrK/mY/ntDPCFrdoGLztO2DZ8LdxoPsC5SX/uBJPz5Oq3ikoSM7Hn5N4x0hMmZkoFayG3xDEPfYwlpXLUdxu8qc9hzcoqVLtNqZNDbyOef9dSm65rdL6pgP7sWjpuM45F9vP8wHwtmiJp0fPI16jWywoPh/oeo36oKEoXbBZT2rc0x9cLhcAVmv539ViY+Np0aI1CQlJKEfoQ5vNFnKs6/oR6zYGklQQQogwCwxrDFoEq6Tk8PxJXdfJz88jJaWa81kbkLwXXiVp5AhKbrgZx7tvYwpauMu0dQvJV/8DAN1sBpOJ7J8WYv/iMxIm/Av82+EJIapmOrAf2y8/AVB88614TjkNAG/bdgDETX+6Ru1V9pmiedNGSSo0Ru7DD/+moKRu8ag78Zx8as2aGjiIorETiH/oPnA3wH/LdZ3YF2cGDpMvv5BD6dsrruv1EjttKq4LLzaSK6V8Piwrl+PpqmLevfvwugduN6aMg/hatS7XlGXdGqPKGWei5OZiXfEn2YuWQdDw+HLMlkAcWKLoUUzXcbz2ErHPPwuA6+xzIhzQ0eX2//xU9AGQoih071759tpdu/YgKSmFQ4cyyM4+hM/nC5k20dhE0XeyEEJEh8Ae4A5HoKywzCKFRUWFUZlUcA29jIyD/qGPNitK0FpT9i8/C7xW/Ls96EnJ+JqmGoWSVBCich4Psc/PoOTKq4n539tG0fEnhDwAOi+7gjxAKar+Qm8JCTHk55cfsh7z8RysK/5EkZ/NRklxGQ9Fxddcj/PSfwSSvr4KtgKuDt3/cFXnkQo+H443XsG0ezfFd4yu8GG9pkz79oYeZ2VhXbQQ3WbHc0bvkHOW1SuJm/40cdOf5tCfa/CVbpmccRBTQT5utTt4vZhyjHUkEkeOwP7d1xxavaFcrIq/jq9pKrkfzAWPt+oFDC3+B0uPJ6qSCtbfFwe2I3X17Y/n1NMjHNHRVTpSwVLLPrLZ7LRt25GcnGwAfD6vJBWEEEJUX+lIheDpD6Vz69q168TOnVspLGwE+31bQ4f2xQftBOEcellQPf9/Ne6GOWRWiIbC9u3XxE2dQtzUKQD44uLJ/mZ+6BDpmBicV19Xo3YT0hIoySj/b46vbVuSrrsq8GAkGhn/w3/BzJdAUcj6eTHWFX/i69ipdu2VDuf2P2zVlmXdGmPEA6AnJ1M04d91ag/ArKWXK0v+x8UAgUR4oO7uXYHXTU8/kYx92SSMHoVl/VoAfE2bYkpORtm5A4qLsX/3tXFd+t/lkwql6wskJaFXM1mjlz6kRlMyr7iYuMcnHz4cc3cEg6kfh5MKdZuqavX/rlRUVEhSkq2K2tFLFmoUQogwOzxSITipUABAWlpzAAoLC+o/sDAruzBVqcJ/P0Dem28frmeOwl+ghIgA87atIce+li0htvzK4+HiSzIegkz+T9IiybR7F0pBI0i2NiCKy2X8O+1PSnlP6EnJjbfUur3Av/l1/LdcyQ2aNrd3T53aKmXxry9SOP4eXAPODj239q+QY9Pu3SHH5o0aMZ98hCXdWBjV16QJvuQUFLebtPbND9fbExRrSQm2r74gZu6HxjU12V7R/3+i4o2e/xPjpj+NdcWfAJRcfgWuc86r4oro5vF42LNnD1arjZiY8gs11kSTJsao1Nzcxp28lZEKQggRZkp+PnNOgCnOaaS/MoGuKd24tMklnGztRXx8Ag5HbCMZqVBxUkFPTAz9ZDVMv4gK0dhZfze2Yy146DEcb75Kyc23HtX7+dq2Ne674BeUO8aguOv2CXStlZSQcu5Z6HFx5Py4oEZbHYpKeDxH/He6VvyfsCt1HHUWPHXH8e5bFI2bhK9N2zq1ad5oLBrsHHoZxXeOIbXz4fZSBg8gM30buv/hzrzD2InINWgwtl9+osnAM0Pa0pNS8LVpV+4ejllvYFn7F4UPTMY+90MS7pt0+Jqa7KQRGKngrf41EVa6dkTmhm3oTaNv6mZN7du3C7fbTceOXTCZ6jZlISbGmArrdDbeXVNAkgpCCBF2n+Qv4uZhgMf4NGRD1no2ZK1nYodJDDJdQEyMg+zsIrze6J5fp9sqHsanx8aFFlhk+oMQVSoqwrb4Nzzde1A85u56GV7sa9kK9ymnYl25gtTjazkkPpzy84j9z1MUTH8u0pE0CorbjW4N43Dr0gRFnZMKoWsMxT77DAXTny9Xz7R7F6ZDmXhOOrnKNs0b09FNJrzHdYaYGEr+MYyYeXMD5y1aOu4+/Yy6/hFBnuNPCCyGGszbth0l14/AdfY5JN18eKqRZf1aLOvX4m3XAcva1YFyPSYGb9euVcYYqG8OWlOhofP5wGRCychAj407JhIKAPv27cFsNtO6dfnkUk2VbknpcklSQQghRA1M0xdUWD7v4Cfcw0OY/UMfo37RnqB5hs7z/g/7j98bB2V+UYrK+aNC1KO4Jx7F9v03KCUlOC+8uF7v7Ro4COvKFYB/Uchu3ev1/gGKQswnH2Hevi0y92+M3K7Da9qEQWmCoq4jWsouMhpYzDdI7NNPEDf9aXRFIXNXxuH1HCri9WJduRxfu/bgH6qe/+os8l+dRcw7s0mYOBbrbwuCkgrb8DZrbiQggmR/9SOK14P79N5gseC6aChFd/4L0/69IQkK+9efY9q3D91mI3P7fmOnh5psFej/f1/xetCrf1W9i3vw39i//5acr37AdPAAvmbNIh1SvXG5SoiLiwush1AXNpsdRVFwOp1hiKzhkqSCEEKEWbr5UIXlO4p3AAQSCV6vN6wjU+tb8EiFkptGYt6xHctGDW/bMsNYZaSCEBVzu7H+8Tuxz00HwBefQPHtd9RrCMVjxhH37DQAcj+cF9GpB7b5P2DKOBCx+zc24R+pUPpveR3XVPCPVCi+4WYc784GU+gSb5ZVKwJbpiq6jnnnDrydu1TcmK6TfP45KC4Xnu49yp329DgBgLhpU/F0645ly2ZMe3bhOe0MSoZfiy8xEe8JPTHt3FlulwiAwkeMRVNLkwq++ASsK5YD4O55Uu12b4iCRLv198XEvv4KAPaP5mA+sB/XWYMiHFX90HUdj8eDNUy/oCmKgs1mw+ksweVyYrXaUGqShIoSklQQQogw616SwDpHXrnyjnEdAQL/mRw8uJ927TrWa2xhFfQfri8hiewFS7GsWlF+m6ko+AVKiEhImPAvYub8L3Bc+PBj6ClN6jUGPT6BjK17MWUdivhaBr5mzTAd2B84tqxeiVJcHPiEWdSQ2x3WNRWCt5Q0p28g9sWZuAYNxrJ+XY3asaw0Hsq97Yyh5UphAZY/loIjBs+JvbCsXhVS37x1c/mkgq5j2rUTPSUF61+r0O12CiY/Xu5eXrVb4HXSrTcGXrt79wGrFdcllxv1OnUud22w7C++x7p8mTFKwZ9UKLrn/mq+4zKhl/6f6G24ayo43nwt8Dr+8YcB8PSqehpKY+D1etB1HVtlo2NqyGaLIT8/l8WLf6Zjx6506HBc2NpuKCSpIIQQYfbvbW254fj15crHn3EPAHl5xgrAW7akR3VSwbR/HwDeDh3xnHoamM14TjujXL3SX0QlqSAE4PNh2rsHy/p1gYSCt2078p9/BXe/AZGJKT4eX3wNFpo7SrwdO2HZtJHY6U9TNGYcKUPOBiD7m/n42raLeNIj6rjd6HZ7+NrzJyjsn3xE3FPGA3zMRx/Uujlv9+MBMGVlkTJ0CAAFjzyBZZUxHadozDhiX3gW89Yt5a51vPAs8VMeCRyXXHk1vk7lH9T0+ARc55yL7ef5AOS+/zHeTsfh7VizhzrPmX3wnNkHX/PmmPbuJfeDT/AeX35kRLUEdn9omEkFpSAf+5eflSsvvmlkBKKpfx7/7yrhTCrY7UZSAWDbto20b9+p0Y1WqDKpoKpqG+AFoBngA67TNG1n0PmBwH8ABXhU07SvVVW1AP8FugI7gRs1TWvcq1MIIY4Z9k/n4nj9ZXLnzENPSi53fvgWB569yUy+KJE9zj20trfmqpbDGdbtasAYWtcYlO71XTj+nso/DZPpD0IAxi4LibfcgCn/8Eim/JkvUXLtDRGMquHwdjQWi4x7+omQYfspF54LQMaOA+BwRCS2aKS4XUdcULc2SvvEslELKXf3PImC/8yoUVu+Jk3RExIBiPl4TqA8/pEHAq+d551vJBWCt1rVdaxLFoUkFIBKE06F4+5Bycwk/4VXA4mM2nJeeTXOYcNrtoZCWZYyCzXquvGnPikKpv370C1W9LS0w6GtXknyZRcCUDJseGDLTG+r1nXeoSNauP1rhoQ7qRBs6dIFnHnmwEaVWKjOSIVC4GlN05aqqjoKmAj8K+j8C8D5gAtYpKrqt8BwIEfTtD6qqk4BRgIvhTd0IYSIjMRRxj7fqV3a4Tz/IvLefj/kFwwlN5cLzSqxncYHypL8+8FD40kq5L0+G+uSRTivvLrSeoGhngsXkjjiavJffgM9PqEeIhSinuk61j9+x9NVDWxfF8z268+Y8vNwDj4Pz8mn4uneA1c9L8zYkJXcOJLY114GIH7K5HLnzTt3hAxnF5VTiovRY2KqrlhdR1j00deyZflpb9VUfMttOGa9Ua7c27ZdYCFFU2ZmoNyyagXJl19Urr7n5FOOeA9P7zPJmb+wVvFVqI4PgsGLFysZGaScdxbmvXvCEFgNYrDbUZxO3Cf2ouSmkbhPPhVvjxOIffoJlKIinBdfStG4ScaOFxv+LreoZTTLysokJyeL1q3blXvYBygoMJK+MWH82bGXGTHkckVo+96jqMqkgqZp2cBS/+FeIDCxTVXV9kCBpml7/cfbgROAc4HS8VBfAfcgSQUhRCPhbdM28Cm9/buvUXKyQ+ZBm3JzKTjpxJBrghf8adIklb17d9VPsEeR87IrcF52RdUVS3+BSk/Hnp6Oa+5HlBwjwyjFscH27dd427TF8d5bOGa/ifvkU8h/6Q1s33yJnpyCbrPhuvBiTPuMB4eCZ2YeM5/61YS3cxcydmWQ1jatwvPmHdskqVBdLhdKSQl6QlLYmvR2Og5Px064Bw7C8dZ/A+WlIw5qo2DqdDxdu2H9YwmW9A1YNvwNQP7zr6CnGMl4Jevw4semPeUfvnNn/w/XeefXOoZ6F5j+4CFu+lTMe/fgPrEXemLtv441ouuYt23FvHcP1jWrsY4fgy81jUN/b8GUdQg9Joa8We8CUHLFcOKnTKb45tvqJ7ajzOfz8ddffwJw6FAGp59+eL2WnJwsXC4X6enGGiGW2izCeQQ/HZjPy1tfYLdzN23sbRjW/EoGKkPC1n5DUNOv1hXAl0HHzYHMoOMMf1lweWnZEaWkxGKxRN+2amlp8klbNJP+i14R7btduzM53R8AACAASURBVGB3aEIgNT8Tcg7AzTfDnDmQk01xmzYhdRIS4gJxN2lyBp98sovU1NRj4/vQFTpFJCE1iYRj4X03QlH7/bp6Nbz6KsTGwvTpdf6kMcSWLXDjNSFF1lUradL31NB6b78J+fmgKDQ9oUtYF9CrjujpuzJxJiVBrjEXOWn9arjuqgjEFFm16jv/p/u21JTw9X1aAmzdgiUjA4KSCjF2CzF1uce/xwPjYeNGGDMGZs0iuXVr41xSEra8nKD34P+E9+WX4ZVX4NZbSbrp2trfux6U+/onxgKQsn8nvDMbunTBunxZvf+bwNCh8NVXAJgyM0hLcUBJMcTHH4558v1ww9Ukde1av7EdJcHbOhYU5GEyuWjatCklJSX88ssfIXUdDkdYfnbmrJvDvcsnBY53OncyY+d0Tj9wGlefUPlIz2hS7aSCqqoXAm2AuUHFVoy1FEopgK1MeWnZEWVnF1V2ukFKS0sgIyM/0mGIWpL+i16R7rv4yY9RdkZv7l9/E//gvZj37cXzjyuwuN3ktg9dgNHrVULiNpnMOJ3uY+L7UMl1ErwLea5uxXUMvO/GJtI/e7VWUkLTgWdjyjMeTDNvG4OemlrFRdVnXZNOcNrMOeR87D98V77iCmPxOfdpZ5CTUwLU31JT0dZ3peMUnOcOoWjSfZh3bCfhrtvxfP0tOePui2hs9a22fWfaupumQIk9lvxw973HQvBYkmKzjYJw3COlJbznf8zwt9ckpQlkZJLlP3bsOUA8kBubjOunxSF1G6KK+i/W5SMO8D7wIGaPh9x7H8JVz/8mAMQ3bR7y+0z2L4tJzM2D2PjA1xsw+qUBf42rw+Nxc+DAXlJSjGlpMTEOSkqKWbNmHd269eS33+aH1O/RoxetW7cOy7+bj/0ypcLyx399gsH/z96Zx8dV1vv/fWZfMpM9bZbuTSZNF+gGtKVsCoigtogCLnDBBZcreEFc0J+oqIgK0qqg3it61augKAVEBGVfCy3dm07SJmmSttmX2bcz5/fHyZzMJJN9b57368WLOc9Znmc6kznn+Tzf7+c7p38qz3RmMJFlWKKCy+VaDPwIeLfb7U5OBm4GkpMG84CmPu2JNoFAIJj5JJkNdv/2j2T+x0cwHK1Gf+okAIaj1QD481LzqY19aoXrdDri8enp/Dzu9I1Es4yjG7lAMATGPbs1QQFA19yEPI6igq61BYDgJz5NzLWM0HU3YNj9NvE5c9UUB50O0zNPY33wp8ilLoI3fHLc+j7d8d9xJ/KKlcRWr8X6wHYMh/tX1RH0x/TPf5B5nboCqjvROP4dJIWF+7/2/whd89Hx76OHeE4OhoMHVCNDSULyqPnuk5YqMBHo1Xuivv440bXriFzxgSkZRuCLt6E/Xks8JxfL3/6C7tQpJL+feFHxlIxnvDA/9iiWn/wIY3UVclk5gS/exr7FC+noaNU8FPLyCmhra6GrqwO/39fvGgUFheNmoljVeWRE7TOV4VR/yAAeAW50u92netq+A+xCTYXIc7lcRajxSGXAAeAl4HLgWeCKnm2BQCCY8Ug9bs2xJUuRFywEwJzkXJ0g2Mc1uK+LsCoqxCdmkNONviGdUVFacjpg3vFXnJ++AXnefDp2j6zO/EwiUY5Onr8QfX0djq/eRjx3YFFBMZsI3H4H8tLSYV0/ISpENm4m8j51chBbf3bKMZFLLyNy6WWjGf7sJmnyqtgzkCIRkGVtUiZIj+2H39deR867YEL7Cnz2CzCeZpB9iGfnIEUiSC0tmJ96Av3xOrU9TeWlGUPS99f/zbvGNx1rBMSLS+j+8w4sf/hfLH/7C+Ynd6Dr7kIuc03JeMYD82OPambaAIbKQzhvuhH7zTfTsWkT4bAaDaLT6bFYrHR1dWhtCebPXzyuYyrLLqeyo78gWpZ9evnDDCdS4T+BRcC9LpcLIAwcBRxut1txuVyfAR7vOfYWt9sdcblcvwUecrlcbwINwHXjPnKBQCCYAiSfqmh3PfEMWNUHqUR0QgJZryfU5xkhfaTC7BAVlAwHgZs+h23HX6G5GWQhKkw50SjOT98AgL6hXlsFnC5Inm7MTz6ujisaJfSx60edb6zrmYSErrwK2/b7MO58Y8hz4sXz8H/zO8O7fnOzek5+wajGJ+iP7667Mf/1z8iLl2htSqKUZFDN+RYMjNRTEs/zi18Tft+Wie3MPLGRZwkTZPsPv4/1978BIJ6VhVy+bEL7nVB6xLLwpZcR3bBpiIMnHsWhhrQnykcqM/jvy3b/vWnbl+3YQcOm3n9rq9VGKBQEoKlJNf80my2EwyFKShaM65i+uPY2bvrXjf3ab1lza5qjZy7Dqf7wA+AHg+x/Hljfpy0KiKLLAoHgtEPyqfl1SkYGWK3Ec3PRtavO1IpOhxSPE+kJy5QkSSsfmU5USNRCng347/oBtjNXwmc/i5SUQiKYGsxP7kjZ1rU0D1rnfTKx/vLn2O75PjpfUi6rwUDo4/8xsguFw+iam9DXqTXuQ9ffSODmW7UJVzp0TU3knH8O+iOH0Q8j1N5wYB+2n/4EAKUgfcUCwcgJ3vR5gjd9PrXRoooKUig0oyc9E43+aDUG9xEUSSJ85YcmrJ+Ol3eqUToTLEbGc9VUwoSgABC58F2Tb2o4jkQ2bsa0Zi3+b6XPtZ9s4o7UPPnI5gumZiDjgL4qfUqBM6lqSEnJAubOLdLSHtrbWzEYjKxbtwmDwYBOpxvXMW0tvQqAbe/cR1XnEcqyy7llza1a++nC+NXKEAgEglmA5POh6PVauKc8f4EmKsRL5qGvP07Epjo7m0wmzWnY2OcBSI1UUJhVJP4NhKgw5Zj//kTKtu7kiQkTFQz79mDe8Tf8d3yz/0QgFgOdDqmtDdsD2wl84b+wf+sbKDZ7ymHGnW8MW1SQfF6yLnsX+mNHtXQlxWQiXlgEOh2D/dXJzkwUkwnzv5/F/O9nR/AuRaTCRJOIVJBCwUE/w4nCsG8PupbmaV+6MHOravwmKRP7rySXL5uUaIHY6rX92sJbZvZkLHbW2XT984WpHoZGcknQmKt8Rvu+yGXlGCr7C8Ke4l6fiMLCeeh0eoqL59PYWAeoQkPfNNXxZGvpVaediNAXISoIBALBMNG7j6A/UqnWzu5ZnZHnL8S45x319bz5qvFSzyqa0WjWRIW+NytJ0qEocU6cqMdqtZGTM37GcdOWngmlJM8Sg8ppjL7qCPHMLIKf+wL2u+9C19qC8ZWXiJ573riuPBp2vUX2e9/d06ke/ze+lbI/++LzUQwGZFc5lj//Ccsff4cky4QvejfeXz4EkQh5rgWYnnsWXW2Nanw4xAql9efbMbhTV6ui52yC4aw+6fV4tz2glncbBorJjL6xAQJ+lIyZUrJxZqIkIhWCwSnpP/vi8wFobe6eVqlCfdE3n17e6OFL35uy7fn5r4hcNrMc86c78fkLUPR6omdvoHvHP6Z6OGMi8MXbUjwVEtRcfTXLlq0iGo2Q0fNbbbH01r4Y75SH2YgQFQQCgWA4BALkbD4LgMjqNVpzfH7vjSheWKTut6urrMlCgl6f+nOb8FSoqlIV9QsvnAUmbgnTNRGpMLUEAuiP1xFbVqEZFmZ+7GoAPL98iPDW8VtNybjz69pr6//8EsVqJfSx69EdP455x6MYDh0AwLhvDwC6ri4A4nPmqCKAxYLvm3fh+NqXyD37TKJnb6DryWcG7VNfqxozerY9QMYdX0bn9+G/c3j+CADhD36Y8Ac/PKL3KZh4FJs6ATAcOqB6LUyiWaPp2ad7N2KxGR16P+Ow25FL5qniHRC+7IopHtDpR3zOXNoPVKPk5Iz6GoGAD4PBiMk0tdWdgh+4kkOH9rJsxw6cJ07gKS6mcssW8j71ebKyUt+fTqejtLQCk8nUL0VVMHKEqCAQCATDQNfZob2OLV+pvZaTRIXo2nVYHn2E4PIVQH8fhWTGq1TRjCLxIB4TosJUYv39b5DCYSLvuoR4TmrpU30f09FRE4mga2vF+PZO5OIS0OnQN9Rjv+d72O/53pCnxwvmaK9DN34Kx9e+BKhpEI5PXk/0gotU88Z0xNRImMhFF9P192fRNZ8itvKMsb8nwdTS83vq/PQNeO9uI/SJmyan33hcE90ApHAIRYgKk4rvh/eR+ZEP4b/1dmHSOUEooyyzK8syR44coKXlFEajiXPPfdeIzj948B1aW5ux2x2sWrU2JXpgMBoaajGbLRQUFKa0RyJhGjZtInLlVTgcWRw9WsnKlWv7CQoJRITC+CFEBYFAIBgGUmen9jq2YiXxuIwsxzEmiQqRS99L97z5eBbMh5P12Hrywu32/g9BkjS+RkAzgp4HceuvfzV5EwJBKqEQ1p9tI27PIPipz/QLJY9nZ4+9D0Uh+5ILMBxWy1TqTzTivftHOL52e79Do2vWomtsJL5gIYHP/CeOr96GrrUFuSyp1JYk0f2/fyLz+msBsDzxGJYnHiP8nst7H4SDQWw/30bo6o9g3P22OozsbOQ5c5B7RD7BzCae12uE6fja7eiPHZ2UfnUdHakNoTBM01QXQ0/ED4CcJMzNdCLvvpTWmpNgtw99sGBSOXWqgZaWUwDDMp+WZZnGxuPk5RVgtdpobVWr5/j9Xlpampg/f9GQ1wgE/Bw9qqa49RUVEhUdzGYrJSULyM+fM2yhQjA2hKggEAgEw6BvpML+/bvp7GzngtwivHPn4mhqIp6VTeSSy4jWqqu9TmcW69ZtxGbrLyrodLMwUqEn/aFvCU7BJBAOY6g6QubVW9G1tRH4zy+i5OSiAB2vvo3z0zdgOHwQXU/J1LGgrz2mCQoJQp+4idB1N5KzcS3E40hdXUihIF1//TvYbFqOelf5Mkz/eobIJalmeJHLLsez/UHsP7qbeH4+xnd2k3XFxXj+8GfkpaXY7/shtm33YvvpT5CCQdUxfgJNtwSTT+jj1xPPycF582cBsP3PLyetb8VoJFZegfHAPjVSYdJ6Hh66mmPY774Ly+N/A9TqCJ4H/meKRzXOiAiFaUkslloiWlGUQSMxW1pOUVPjRnrk/1j11FNc5T6Cp6SEyi1b8PYRCAbC6/Vor48fP4ZOp6O4eAE6nU4TFSwWC5IkCUFhEhGigkAgEAwDqas3UkEuLaPztecAeLH9JGzbxnu/8AVtFSVxkzUajTgcmemvNxsjFSYxB1qQiuPWL2D5y8PadjCpkoJc5sL7o5+QffnFSF5vmrNHhvHllwAIXf0RDPv24P3pL3p2GOl44XWkuIyUEC/6rDzKpWUES8vSXjd8zUcJX/NRiEaxf+/b2B7YTsYdt9P9+0ew/PH3gGriF7dn4N3+4Jjfh2B6oTichK/5KPGvfwUpGqHz6ecnr++cHGw//D7GA/ugx3x32hCNkrXlveibThE9czX+b3yb6HkXTPWoBLMEpU+VkUgkjNls0baDwQDHjrnJzc2jsHAePp+Xea+9xtrt27Vjsurr2bB9O3utNlh+5pB9BoMB7XVNTRWgpptKkkRHRyugRioIJhchKggEAsEwSEyCvPf/nFgaF/lgbi5enweLxUasxzPAYBg473a86yDPCPz+qR7B7ESWMf/98ZSm+MLUENNESTHrL35G8IZPqlUWhon9e99Gd+ok3p+pK8emV1RRIfBfX0JevDT14IwMFEBxphfbhoXRiP9b38X04vMY33wd07P/RNfaor4PiwXPHx4humnz6K8vmNa07zuiCpTWSZ40mFUDOmmaiQq61hb0TacIX/IePL9/ZFpXphCcfsh9qjmFQsEUUaGmporW1iba21soKCjC7/eyfseOtNda+PCfiNz6tSE9p0IhVVRwOrN4uuEpdrTvoLGykRJzCVtyt7Apc5OIUJgChKggEAgEw0Dyq6JC0OnglVf+1W+/r6CAXbtex2azo9cbkCRpUBfkvjfNoUIGTwvGYRX8dEF/rBrb3d8l8NVvIC8tndC+dI0NSMEgoQ9+mMCXvgKRaL+JhzxvPvHcXHTt7Vgf2I7/+z8a+sLxOOY//wnbtnvV7WgEw949GGprkOfMRV60ZALeTS/RNWsxHD6I9XcPAdD1t78TW74CJXv0DuaCGcAUhcErpoSoEJqS/gdC16auzMoLFwlBQTDpRCKpIls46e9DURQ6O9sBiMfjtLU14/N5cTY2pr2Ws7GRxlAQq9VGe3sLjY3Hqag4E2MfY9REpMIxay3bT/ZGPNSH67XtzZZ3j/3NCUbELFwqEwgEgpFjfvafAPhstpT2OXPUMpItn/g0oBoI+XweMjIc6AcJ9+8bqRCPx8dzuNMTp3OqRzBtMD/5OJYnHiNn41p0p06O34WjUSRfqniTiByQFy9BXlKKvKyi/3l2O+1vq+UdDYcPDasry//9TstvB7A89lf0J9SHxcil753wCU7sjNUAmF56Qd0WgoJgAlEsPauvoekVqSD1iApKkpGlQDBZRCKqOePSpcsACIVC7N+/i6amE/j9vhTzxsOH9xGNRvCUlKS9lqe4GJ9P9UuoqjpMR0cbNTXufscFgwHMZgs/3//TtNd5vOPxQSNFBRODEBUEAoFgCCy/+w2mF9X83VhSWN/q1WeTmZkFgGfuXK1dUZRh3NBSJ1yzQlTYsmWqRzB9iPaW1cxZt3J8UkNCIXLWrSRvcTG2+3+M7Z7vkV/gxHHrFwCQFy0e/PyMDOT5C9DXHBu6L78fx203qy+/9FU8v/g1Ha++TVt9C53/egnft7471nczJOH3fYBYRW9lByEoCCaUnvQH629+he3eezD/6Q8QGdrtfqLRtbUBEM8dXUlAgWAsRCJh9Ho9ph5j3KamE7S3t1JZuZ/OTvW7mZOT+t2sHOBZoHLLFg4e3EMoFNQMF5ubT6b4NsiyTDgcwmq1UdV5JO11GsPpIyEEE4tIfxAIBIIh0MK7gajJBBE/WVk5ZGXlEAyqk0G/P3V1eLAoBUgNEQRQlFkgKuj1RDZtxvTaKyDLs9q4UUoSEaRoFPu99+D/+p3av4nx+X+hZOcQW7122NfUH69D3xP1YP/+d/rtjxcVD3kNxWbDUH8cfZVbDac2mdA11GN6+UVwWjH7wiBJmP/xd+2cwJfvSLlGIoJgolFycul69AnyKhYT/MjHJ6VPwexFXrAQUCNyEvhPNBL40lenaEQqmqggIhUEk4wsywQCPjIynJr5dPKzUKLs49Kl5fj9Pg4d2gtAw6ZNAKx86insx48jl5Xj+fzNNOSpXju7dr2e0kcoFMBqVU19u7tV02yr1U5ZdjmVHf0j61w55f3aBBOPEBUEAoFgCBI5qwCxngCD4uL56j6dOgnsm1eYaB+IhBiRoK+D8mlLosxfJDL5RmvTiISoELj5Vmzb78P2s/uRi4qIrVmHceebZNypTtQ7n3lh2MKCvrEeAEWvR0oyzwrc9DmUrGyi52wc8hrxnFwAcs5dj2Kx0PHq2zi+/F+Ynv83AH0TWHzf+NawxjZRKHl5tFXXo9hE/XrBxBK+6mra16xD19mBvroK582fRe9Ov1I6mSTuT/E8EakgmFyCwQCKouBwOAc1n7Za7ZooAOByrSC0YAm+r32bYPLiwgtPA6SkTADU1h6louIM4vE41dWHASgsLOaL+tu46V839uvvljW3jeVtCUaJEBUEAoFgMAIBpGBQ24za7eDtRK9Xfz4HupEOFalgNBpJuuysERWUnhBiff1x4jm56I/XElt31hSPavKRAqqoELryQ+jdlZifeRrbz7drngQJjK+/NrSooCjoKw+Tee1VAHi3PYChugrzjr8SKy3D/+3vwzCrjfju3UbOBrU/KRQid91KQF0F1d37YzzdAVAUsFgIX3JZv5KQU4HSk4IkEEw08cVLiLNEM1edctNGvx/bz+4HRPqDYPJJTP5NJvOAz0IGg6HfPpvNTlFR/wpDixaVUltb3a+9ufkkFRVnUF9fSyDgp6hoHpmZ2WzNVO952965j6rOI5Rll3PLmlvZWnrVWN+aYBQIUUEgEAgGQdfZAUDo/Vvp/vFPCDadANQbJQwckTCUqLB8+Wqam08RCPhoajoxO9If6HVQz9ncKyR0/vN5YmvWTdWQpoREpEJ87lw8v3+E7PPPwVB5WNsf2XwBpldeTO9vEI9jfOUlTC88h+mF5zBUpoZ/ht+3hbDVqqZTjBB5SSnee+7D8ZVbU9pjrnJM111HuFVU8BAIeitBTL5po66ulszrP0LoQ9eQ8Z3/p7XHC4smfSyC2U1CVDAajSnCwWvdr6llHsONLHYs4fa53WwtvYr16zfR1HQSpzO9EJzsRVVYWILRaKK+vgaTyUwwGOD48aOYTCYWL3Zpx20tvUqICNMEISoIBALBIOg6esohzZnD/rqjWnmkxM0vWTzIycmjo0PNb5XlwUUCi8XKggWLcbsPArMnUqHvSjyAvrbmtBIVjG++DtEo0c3nD3iM5FNLlCp2tTye997tWH/7a4xvvAayjO+ee9XKEO3q90l38gRZl16I/867kLzefpP+BK0NrZqh3GgJ/ccnwGjE+NILSKEg5meeJvz+rZjGdFWB4DQi8Tc2BUaNtge2Y6g8lCIoALM6nUwwNUR7DIeNRpMmKrzW/VpKmcej3motRWFr6VUsXTpwFajEYg1AebkaJdfScopQKMibb6pVjJYuXdavxKRgeiBEBYFAIBiERM6skpOrCQrQe/OzWHof5Gw2OxaLlZMnGwbNL0xG6im7F4/PDlEh3Wqa1NWJ1NU5YX0aDh7A+ekb8N/xTUIfu37C+gGQurvIev97APA8+D+EP/hhzI//jbjDQfSii3uP6+pEsdm0yUls3Vl4k9NA4nEUnQ5d/XF0TacwP/4Y+uYmnJ/7FMH/+IR6/e0PEv7AlZj/8STOz36SeG7umAUFdXASoY9dr/5bxePoq6uQy1w4xn5lgeD0QKdDMRqRQuOT/iB1d6GvrhpWKpjkTY0WimzaTKxi+biMQyAYCYlIBYOhN1JhR/uOtMdue+e+ISMKbDZVZC8oKNTakk2ts7NzU/YJphdCVBAIBIIBkHxenJ/7FADxrNRwvUSkgjmpxKTFYqO4eD4ZGU7y8+cMr48eUWG2RCr4vncP5r8/ntLm+NrtOL52+4T3nXHH7RMuKhh3vqG9tn/v2xgqD2Pbfh8ArS1q/W3Tkzsw7t+LXDDId0SnQ8nNw3hwP7mrXKm7TqopOJHLLgerlfCWD+I70Uh4ywfH+d2o45BdwklbIOiLYjKPW6RC5tVbMb6zm47nXkVeuWrQYxPRSwDx/AK6H3tqXMYgEIyURKSCydQbqTBQOceByj8m43RmsmnTRZpnFcDcucW0tjaxfPmZ5OSICifTGSEqCAQCwQDY7/yG9lrX1QXM793uuYEmRAHovbEmKkMMh0QZptniqRAvLCK6dh3G3bu0tvBlV0x4v+an/44UCmF68nEi7/vAhPVj2KeWzIotWoyhtkYTFBLompvI/MR1AOhbmge9lu+uu3F+Ro1KkIuK0feICeZn/0k8OxvFqZbfQq8neHP6dAiBQDBBWMzjZtRofGc3APq62kFFBfPf/oLpxecBiGw+n9CHrhmX/gWC0dDrqWDSFkZKzCXUh+v7HVuWPTxx2mRKjbZzuVZQVrZ82NGfgqlDiAoCgUCQjlgMyx9/p20G3nM5tDQAaghespiQINlkaLjMtkgFAO/9D2hGjb6v30nwlokv/5S9cS2Go9VkfuLjtDZ3Q5rPb8wEAhjeUcWSrieeIW9lacpuqbsL668e1LbjjoFzSwHCV36I0D+fwrLjb3S+9AZZl1yAobYGgMi7L52Y9yAQCIaFYjKPu1GjJMcG3W/5/W+1191/fXJc+xYIRkoiUsFgMGrPMB8q/DD31v2437G3rBmd8C1JUtrnLcH0Q8g+AoFAkAapqwtJlglf/n5aT7QTKVUniPn5czjzzPR5r6NR0hM3y/b2ViJTYPo1FSSH08uLl0xKn8FPfbZ3w+/H8PZOsjetI2dFKfZvfGVsF1cUTE89Se6KUszP/Qu5sAhlzhzadx9MOcz20/sx7FcjGbz3/5yuJ58Z8tLen/83bccaUTKziJ11jtqdyYTvm3eNbcwCgWBsmEzjk/4Q741Ss/73LzA+/6/03f3j75heewUA/61fHnu/AsEYiUYj6HQ69Ho9RqORs8/ezG2XfI0fnX0fi+1LMEgGKnJX8MuLHxIVGmYBw4pUcLlcWcAO4EW32/2tpPZLgG8mHboMeB+gBx4Banrar3a73SfGY8ACgUAwGei6VePAeFYWGI3IwQBASq5fAr1ejyzLmEwj98dPiArHjx+jtbWJs88+bwyjnjkoFgtSKET0nE2T0l/ohk9i3PUWlr88jK6jXS3FWF0FgO1XD+L/7j0Dnqs/Ukm8sBAlc4AyWPv3knnDR7VtJUM1m4rPm0/rqU4M+/aQ/Z6LsPzvQ+i6u5DnzSf0kY8Pb+BGI0qP07Xvzu8SuvZjRDeeO7xzBQLBhKFYLOja2jA/8scxXce4++3e12/vJPPj19BW3QA2m9YuebrJ/I+PABA59zwCX/1Gv+sIBJNNNBrBYDBqzzEJo8Xr136S69d+ciqHJpgChhQVXC6XAXgSONR3n9vtfhZ4Num4d4C3gcuB37jd7q+P62gFAoFgkpC6ugBQsrIBaG1V89+TS0gmOOuszfh8Huz2kfvjJzwVAAIB/2iGOiPpfO5VpI4OlPzJM16K5+QCYPvJj7D+X29qSzw7e8BzpLY2cs47G4Cuh/+aUsEhga7+eMp24Av/1buh1xNbs06dgHSr3ynfXT8Y1fiVvDyieUJQEAimA/HsHAzuIzi/8JkxX0tesBDPL36N7WfbMD/1BIbKQ8TWrtf2m//ySG+/c+aOuT+BYDyIxaKYzaKUqUBlSFHB7XbHXC7XlahCwcJBDr0ceM7tdkddLlcO0DbIsQKBQDCt0XUlRSoAx46pzsXhNMZcFos1pbTkSJituYJyadmk9xkvLgZIERTkBQvRNdSDovT3KFAUoJwPSQAAIABJREFU8ioWa5uZN15H26GjYLenHKZraQHA86vfEF11JvE0KR3h974Py9/+gmf7g0TeO/HGlAKBYGLxbnsA0xuvjfk6ik5H5N2XouTlETnvAsxPPYG+5livqPCnP+H42pe04/3f+NaY+xQIxko8HicWi5GRMXIvKcHpybDSH9xud6vL5RrqsBuBO5O2P+lyua4C9gJfcrvdwYFOzM62YTD0X/2b7uTni6rdMxnx+c1cJuWz87QDkFG2GKOzN61Bpxvf/js6LCnbp/v3ckrf32UXwzfvSGnSl5XC8TryrRI4+oytOak6Q3Ex0okT5Lc2wMLeFUQCAeh54HeWLoSzz0zf929/DT++B+eiRePwRqaO0/37eTrT77N7+GFid92F3u1GqqiAO+6Aa0Q1gWGTfwacdcb4XnOF+qzt/Pyn4bOfVIXOX/1K3SdJ0N5O7iCRVYLpyen4uxkMqtO6jAzbafn+EpzO7228GZfqDy6Xay5Q7Ha79wK43e6HgIdcLpcEbANuBb430PmdnYHxGMakkp/voLXVO9XDEIwS8fnNXCbrs8v62QMYgc7suZw82hveLsvKuPYfCKQafZ3O38sp/7tb4MLwj3+jZGahO3kC3amTmF58HgvQfqyReHFJyuGG3QfIBiIXXER0/dnYf3Q3XQ3NRBd6IRDAfvd3UDKzsAOxZcvpXFwBg72/jLzB909zpvzzE4yavp+d+bFHcd50Y+9D4IEDcO21eDxBwluFodpUoc+aQ07Pa8/Pfkn4mo+S73YTz82l87lXiccMM/o3ZDZyuv5u+v3qe4rHdafl+4PT97MbC4OJLONVUvI64P/6NrrdbsXlcj0NfGyc+hEIBIJJQd9Tuk+uqKDjpFpzOSPDgcu1Ylz7SfZUEEw8sXVq5Y5E+oVxj1ofXuruhj6igr6uFlBTF6SAKn7rWluw/veDGPbuwfKXhwHVsM3z0O/AKnJLBTMD2/33pm/fdp8QFaYQubQM39fvJON738Z582fxn2iEzk7kZRXEi4qnengCgUaiWpXRKNIfBCqjEhVcLtd3gF1ut/uJnqbrgIuS9he43e6Wns3NwP4xjVIgEAgmi3CYrPdfis7nJbL5AhRnJl2HOzEYDKxbt2ncPRBmq6fCdCHeU9FB5+lGjkTUMnE9JEQFecFC9D1mjBlfvhWdpzvlGr5vfgd5SekkjVggGDv6qiMjahdMHsFbbsP89ycw7tuD/R41yFdxZk7xqASCVGKxKABG48irXglOT0a7RDYHcAC4XK5NQG2SiABwo8vl2u1yuV5DNXf86ZhGKRAIBJOEvrYG4553AFCsqt9BJBLGYrFOiAAgbshTS+JhPePWL5BfkkfW+y7F9sPvY3zzdfTH6wCQFy5C6TFn7CsoAMRWjHNetUAwwchl5Wnb3QV6Ch/M5vyHN/BY9aOTPCpBAv8d30zZjg9QzlYgmCqiURGpIEhl2JEKbrf7t0mvb0p6/Rrwvj7H/gAYXc0sgUAgmEIkv6/3dTRKa2sTshwjFotNSH9WETI/pSiZqqhgOFoNgHHnGxh3vgE//gGxpaUoej3xknko7tQV3O7f/lGrG6/k503uoAWCMeL5z1vI+fyn+7V/a0MYWYHKjkPc9K8bAdhaKtIhJpvohe8iesZqjPv2AL2/UwLBdCESEZEKglREMq9AIBAkIXl7TXl83/4+Bw+qD3Wh0IAFbMaExWKbkOsKhkc8O2fAfYaj1cjzF4DRSDyr13E9evYGIpddTvevf0fwo9chL+pfQlIgmM4cXFHBGzffTLC0DMVg4PBcI9d8EB5ZmXrctnfum5oBCvDfdTfhy64Al4vIRRdP9XAEghRisUSkghAVBCrjZdQoEAgEpwWST41U8H33B8jly+BUHQB5eXMmpD+DYfCfYVmWOXBgN0VF8ykomDshY5jNRN59Cf6vfB158RLCWz6I+S8PY3r2n+g62jG+/ir+b6k5zbGzzsZ7z33IrnKiGzaBJBF53xYi79syxe9AIBgZXq+HpqYTsGkTC796JzqdnpW/yCGe5tiqTuGxMFVEz9lI9JyN5Oc7iAgHesE0IxpNRCqI9AeBihAVBAKBoAepuwv9MTUMXslwEA6HADCbzVRUrJqSMXV1ddDZ2U5nZzsFBZdNyRhOaywWArd9RdsMf/hawh++Vt1QFLU2PIBOR+iGT07BAAWCXuLxOFVVh8jMzKawsGToE/oQCPjZvft1AHQ6HQaDOiFYlLGYY76j/Y4vy07vvSAQCGY3vZ4KIlJBoCLSHwQCgQDQV7nJLV9Exve+DUA8I4OOjjYA5s1bhF4/eRpsKBTkhRee5sSJ+knrU5AGUZlDMM3o7Gzn1KlGjhw5MOJz4/E4O3e+jKIoAJx99nnavi9vuCPtObesuXV0AxUIBCn4fB7c7kOj9mdqbW2msnK/9vc71USjESRJQq/XT/VQBNMEEakgEAgEgN5diSTL2ra8fAXt7a0A5OYWTGjfNpudQMAPqA/+p041AlBVdYjly1dPaN8CgWDmEA6P3tvF6+2tXHLeeZekTAYSZozff+XbNIYaceUu45Y1twqTRoFgnNi7922i0QixWIRoNIrLtRyr1T7s8w8eVKtSlZQswOGYeuPOaDSK0WgSZbEFGkJUEAgEAkDX3q69jpWWEVu0hI5Xn8NisWK1TqyZ4plnnsXrr78AqKJCIu0C4NChPRPat0AgmDlEIpFRn5sQSVesWJ12dXFr6VXMbctDURQ2brxw1P0IBAKVSCSMzyfxwgtPa20tLU3a/xcsGNjkV1EU4nG5X5SknLT4MZVEoxHMZstUD0MwjRCigkAgEAC6zg4APNseILzlg4QjYWQ5Rm5u/oQr8Wazhfz8ubS2NhGPyxNWaUIgEMxM1AlGfNS/DW1tbTQ01KLX68nOzh3wOIPBQDAYGNY14/E4Op3IohUIBmLv3rfwJ5epliQtfSERnTgQhw/vpa2thWXLVlFQUKi1RyLhiRnsMGlvbyUY9BOLxXA4zFM6FsH0QtwNBAKBAJA61EgFeVkFWK2cPNkAMOFRCgkSD+fxeJxAoPchxOnMwmQyafsEAsHsIhQKsmvX67z88rNaatRIUBSFXbt2oSgKy5ev1swZ06HXG5BluV/edkdHG42Nddr1jh49wssvP4vP5xnxeAQzC4+niyNHDkybFfKZQjgcShEUANat20R+vlrFqanpxKDnt7Q0EY/HOXRob8rfWXIk42QTj8c5fHgf1dWVAFgs1ikbi2D6IUQFgUAgAHSnTgEQLywC1KoLAFlZOZPTv04NRw6HQ4TDvSsRRqMRpzMbAFkencGTQCCYuRw75k6ZVLzpe5Pba26n8MFszn94A49VPzro+X6/D4/HQ17eHHJz8wc9NiE4JJvJxeNx9u17m+rqSmKxKO3tLTQ01KIoCvv27Zo2xnGC8SUhIuze/QanTjXS3Dz4JFiQSnd3JwB5eXkA6PV6MjIclJev0I6Jx9MLNX0FnLa2Fu31cCOJxptIJMyuXa8Ti0W1RRAhKgiSEekPAoFAEApheeIxAOL5BXi93doDwWSJCnq9epPuG9qo1xu0G3gsFtPKNx0/foyamiry8+eg1xsoK1suXJgFgtOQxG8RwGvdr7H95HZtu7LjEDf960YA3jXn3djtGej1BgIBPxaLFZ1OR0uLKpjm588Zsi+DQX0slOWYVn++vb13QhMOh2htbda2I5EwO3e+zOLFLgoK5o7hXQqmE62tTRw8uEdbVZ/32mssvePr2OpqkcvKCXzxNsJbhYnnYCQ8TFatWoXHE8JkUlMFDAYjGRkOfD4vsZiMydT/vt3QUAuok/ZQKEhtbbW278SJejIynBQVzZuEd9FLe3srfr8XgDVrzsHj6SI/v3CIswSzCSEqCASCWY/hUFJ5Np2Ozs72pM3JCehKFg6S0ev1WhRDcqRCTU0VgPaAX1hYMmkCiEAgmBw6O9sJh0NYrTaCwQB/734q7XH3vfVDsorsmM0W1qw5h507X0aSJBYsWMLJk/WYTCby8oauYpMQFWKxKKCuQp482ZtyUVtbnSIqgLpyeujQHvLz3yOc4Gc4sViMXbte01bDW1ubmPfaa2zY3itkGSoP4bzpRjwghIU+KIqCJEnE4zJtbc2YzRZyc3NRlNQ0iIwMJz6ft+eebup3jYSIYLNlpPVRcbsPToqooCgKPp+HjAynNo4zzliPw5E5LSpQCKYXIv1BIBDMenRd6kpg4FOfAcbmsD7qMfQIB+rDfGp774P+wOkPwm9BIDg9UBRFSylITC7y8uawadNFHA/UpT3naLd6XDgcYteu17Xr1NUdJRqNsmTJkn4u8ulIpD8kfgM9ni46Olq1/cmCwvr156acGwpNTVi2YPzw+739wuuX7diR9ljbtvsmY0gzhurqw+zc+QqRSJiTJxuJxWIUFBSmFdoSf4vpUhqTDRyzs3Ow2TImbtBD0NJyil27Xqemxq2JChaLqPggSI8QFQQCwaxH6uoCQC4rB9DMlc4++7xJG8NAkQqShJbWkHgASZfDrChCVBAIZjqKorB79xu8+eZLtLSc0iZ4CxcuwWQyU5Zdnva8YnOx9joa7S+KlpaWDqt/m80OqBMbRVGoqjrcc35FynFZWTlkZDi44IL3sGhRGQB+/+Bu9oLpT+/3banW5mxMbw6qrzoyKWOaCuLx+IirLDQ2HicY9HPo0F6qq9W/mzlz0qcHJO7psVh/TwWPR30eKS5eQEnJQux29W9SkqRJjQSKx2UaGuoAqK+vpaXlFHq9HqvVPmljEMwshKggEAhmPVJPpIKSlQVAIODDZDJrD9iTQSJSoa7uaEq7otAvUiFZeEhUpxCRCgLBzCcUCuL1dhMKBTl0aC+RSJji4vlaBMEX196W9rwtuVtStnU6nRYeLUnSsFcXExOGUCjIyZMNeL3dzJlTREnJAs2TISsrl1Wr1mnXNpvVXPFodGpL3QnGTmKV3OnM0to8JSVpj02I8Kcjx48f47XXnufYMfewjlcURbuHJ0yeQU1zSEfvPT1VAFQURZvIFxYW9yw2qEKC2WxJMUYcSzUO82OPkn3+BvIKs8k+fwPmx1LNXuNxmX37duH1die1xcnOzhMpToIBEaKCQCCY9ejr6wEIZGezZ89OQqHgpIccDuTdYDQa+4VKJkpKFRXNY968hQDE48KBXSCY6STSCwoKCjGbLWRkOFi82KXt31p6Fb+8+CEqcldgkAwsti/h5qKb2ZS5KcVTJS+vgMJCVVRYtuyMYfefWEENh4PU1FSh1xtYskSdPK5YsYYLL7yM1avPSjGFHU56lmD6oygKx48fA8Buz9C+T5VbtqQ9PnDLrZM2tuGSiK556aVnqK2tHtV3Mh6XNXG/vr5mWIJ9Xd1R4nE55T5eUXHGgBNwu90BgNebWpL15MkGzQwxcUwiYsJstrBy5Vrt2JFGUiQwP/YozptuxFB5CEmWNY+MZGHh2DE3XV0dGAzGFC+W4Zi9CmYvQlQQCASzm3gc8xOPEc9w0FhUqK0yOBzpVxgmioEqN+Tnz0l5aA+HQ1RVHQLUhwxJUn/GRfqDQDBzCYWCdHa209x8EkmSKC2tYOPGC1m3bpP2959ga+lVvHj165z8bAdvXr+Hz533RSRJYunScpYtW8WiRWUsXboMpzOTCy54z4Ah2OlI/A61tDQRi0VZuHCJFokw8DkDiwqxWHRYJSeHWjkVTDzJXgrqBHYNRUXziX7ww3h++RCeRYuI6/XEKlbg+eVD42LSGI/L41qStK7uKCdOHCcej1NXd5R9+94e8NhQKMiePTtTIgsAamqqU7a7uzuJx+M0NNSmTS1KiDEmk5mzztoMqFUb5swpGrDvzMws7drJJJeOTAgUiUUEs9mM3Z7BvHmLgNGLCrb7703bLv3gu9pn0dLSBMDy5WemCBmJ6lMCQTpE9QeBQDCrMb71JvoTjYSu+ShdPSsEMPmKfN9IhSVLyikomIvFYiUaVc0bjx1zc/x4jWbmqIoK6kqISH8QCGYeiqLQ3d3JwYPvaH/nWVk5mEzqw/twQo1zcvK44IL3APRzZB9pqHIihDtBdnbekOckUjP6hmMnyhJWVJwx6AQrsXKqXU9UF5gSfD511XzJknIkScJgMOJyLQcgvGwVexfNp7OznfPOu2Rcyhf7/V527XqdgoJCli1bNebrKYpCY+PxlDaPp4tXX/0369efi9mcmgJUW1tNV1cHe/bsZPPmizEYDJw8WU9DQy16vZ7y8lUcOrSHjo42vF4Px44doaOjjTPOWJ9ynYRw5nRmYbXa2LTpIk3sHwij0YTNZsfj6dIqRkBvNOLq1Wdrx9rtagUIpzMbQBP5RisqDOSFYa8/TqvPg9lsIRIJk5ubT06O+vd/5pln0dhYR1ZW9qj6FMwORKSCQCCY1RgO7AMgdNG7tVWDFSvWkJk5uTfPvg8hBoNBy59MXqlMrg5hNls0MUKICgLBzKOp6QR79uzUBAVJkgadgE80en3q79BwfGUSv08NDbXs3fuWNtlJhJCfOFE/6PmWn/wobbuoLjC5JELxB4rSS0zKX3nlXzQ3nxpzf52dHcTjcZqaToz5WqBGHsRiUex2B2azBaNRFbui0Sj79u1KuUdGoxFaWnrfw6lTjTQ3n8Lt7o0CzM1V/QPq62s4dkydiPeNLGhvb6G+vhZA689kMmuvB8PpzEKWZS3dobW1Ca+3G5vNnpLKtGzZKsrLV1BSskC7PkA4PHJRobn5FN3FxWn3eYqLaWtrwedTx5PsB5GdncvKlWuHVUFGMHsRooJAIJjVSJ3qQ4InNwdZliksnDcleYN9Vx2SIxcGupEnpz80N5+cuMGNkmg0qoVuCgSCVMLhkGYEl5WVw9Kl5WzefPGk1J8fiORIBavVNqwV6URUBUBnZztvvPESra1NWgRDupDxBHV1RzFUpTfDO52rC0xHEpEKGRmOtPsTIreiKNokeyz4kyIDjx4d+/USpoJz5xazceOFKb5Ifr+XU6d6q1h0d3cRj8e1yJ6jRys5fHivtl9R1PtuYqU+gSzLvPXWK5w8WU8g4Gf//t3U19do+0ZCYuGiu7sLv9/HwYN7iMfjLFiwJOU4o9FEYeE8LZohISqMJlKhtbVpQI+Myi1bCIWCQ34PBIKBEKKCQCCY1SQqP/h6Hpgcjqm5kebm5qdsJ4sKfXOqE5hMJu24RBmqiWA0+c6KorBnz5u89darow7TFAhmItFoRKvpPhCtrU289darRKMRlixxsXr12cybt2hcwsrHQvLvznCjtQwGo2bmCGqefHX1Ye3vPhgMEI/3n3BFo1Fqa6tnZXWB6cBj1Y9y/sMbKHwwm/Mf3sDTDf/AYrEOmDefnz9Hm2iO9XtqfuxRzvj4R7nq2mu55Pbb4eE/9DsmFApSVXWYN954McXvYSA8HlVUSERaLFlSTm5ugRb509HRqh2bmDgXFqZ+99QoA5PmQ7Js2Rn93qvf78PtPkRHR5vWZjAYNNPk4ZLwVfB4ugiF1PeXnz+XuXPTRxIkSFRyGa5gryiKFuEYDPo5sfk8un/xa2IVK1AMBmIVK+h44L9p2LSJpqYTmtA5UOUKgWAgRByLQCCYnsgypueeRfJ6U9udVsyewR/YR4LxwH4AKv3qA4nZbB3s8AnDYrFy4YWX8cILTwOpK4YDRSoYDMa0D+vjyWjznf1+L36/D4CGhjqWLHENeKxAMNORZdUx3m7PoLa2mkgkzMqVa2lvVycyLS2nKC2tIDc3n+rqw5w61YhOp6OsrIKiovlTPPr09J1wDca8eQtTVq/V0GxVVFAUhc7ODpzOLOrqqpk/fzFms4VAQP19qNyyhQ3bt/e7pu8LX6S7u5PGxuMsXVreLydeMHIqK/djs9l5J7KHm/7V+7te2XGIyo5DmEwmNnBB2nMzMpysX38uu3e/gdfb3VPtYGTigqIoxP7wW/Jvu0Vry6qvZ8P27XSUr0S+6mrtuH373tZKXDY1nWDRotIBryvLshatlxAVMjOzWLVqLYqi0Nx8kra2Fjo728nMzNYEgdzcfObOLdZEhqVLl5GVlaNFBRiNRs4553za21sJBgNadQyA6urDAJx11rlapYaRYLNlYDAY6O7u1NIdcnOH9jBJ/B0MJVyCKjzs378Ln8/LypVr8Pt9OBxOIudfQuTKD2nHKYqC9NIzKaaZiXLVAsFwGZao4HK5soAdwItut/tbffY9B9iBGPCM2+2+y+VyGYBfA2VAPXC92+0WMbACgWDYmJ5+iswbP5Z233jr54rRiNxTPcFun9xSkgORvGI4ULlJSZK0XOyJYiCnaNu2+wYVFZLrW9fX1whRQXBa09TUqIVBJ+jrPH/o0B7tdUaGg4qKM6fN700yZrOFcDg0Il8ZSZJYuHApdXVHWbt2A21tLUQiYfR6A42NdbS0nMLr7aax8Tjt7a2cc875muhoveHTeJafiXXbvRiq3HQXFVG5ZQv+pYvR1dfS1tZMe3sLTmcW5eUrtTB8wcgIh8Oaf8H9zel/1/988hFu5WuDXsduz8Dj6SIQCIw4RL6xsY7F2wa4p9z/Y3avWkFmZjZOZ5YmKED6CbSiKDQ01GEymQgE/EQiYQoL52lpNwkkSSIjw4nP56Gycj+gEA6HsdnsmM2WIU0iTSYzhYUlhEJBAgEfGRlOamvVChEWi3XU5aclScLpzOLJ2sd5quq/qPXVsPRkKbed9RW2lg58b9Xp9JhMpiEjFXw+D2+//Zq2feDAOwDk5OT3O1aSJHQ6vWYUuWrVuhGbvAoEQ4oKPQLBk8ChAQ7JAc5yu93JT7ZXA11ut3uDy+X6LvAJ4OdjHaxAIJg9JASFwE2fRy4t09odDgte7/hqlLGlpRD2YjQap406nywk9L25WyxWli5dBkBBwVzc7oOAatY4kAAxWgbKax4q37lv/e3B8qoFgpmMoigpZoQLFy7F6+3G4+kiGo2Sl1dAOBwmFAoSjUaw2zNYs+acaWt6dtZZ5wLSiCcVCxcuZeHCpdpkCdTfpObmEylmfMFgAFmWNREmOzuX8NarCG+9img0yptvvqiWp0wKV5dlmc7OdqqrK1m5cs3Y3+QsxOPpNRms6kz/+308eDxtezKJVXm/3ztiUaGrqxNnY2PafaZjRzlxoj7lb2nxYhd1dUf73U8A2ttb+3k7zJ+/KO2116w5h/37d9HV1YFer6ekZAHz5y8e0XfcYrGyYsUaYrEYfr8Xq9XOggVLxjT53ul/i+0ne6N0qrrdWgTJYMKC2WzF7/emVI5IEAwGaGo6MaCZZn7+3AHa59DZ2c6CBYv7pWMKBMNhyDua2+2OuVyuK4HLgYXprtFHUAB4N/Cnntd/B76MEBUEAsFwifROQIM3fY54Sa9xmSPfQajVm+6sUROLReGVf2sPwtOBvuLA2rUbqK+voaRkYYoztMFgJC+vgLa2FmRZHndRQS4rx1DZX1MOL17CsWNuHA4nBQWF/fZ7vR4kSaK4eAGNjXU9jtK54zo2gWCyUBSFcDjUb5Xc/NijWH7yIy6rchNYuJDYl79O9ML0YdrRaIRAwI/DkTnuf6fjSd+V3uGSbnKl0+nIyHDS2dme0n748F4tTz65woTRaGTduo3s3ft22tVpYfw6elpamrTXpVllHOms7HfMQtvCIa+TiK5JRJqMhFgshqekhKz6/hVBPGmqEmRmZmG32/H7fSkT6I6ONg4c2N1nXI4Bq5Xo9XpWrFhNe3srubkFw6rOMBAGg4Hly1eP+vxkflf727Tt2965b1BRwWKx4PV2E41GNOPGBHv27Bzw72TevEUDCkHjUdZTMLsZlkzudrtbXa4BQ1dNLpfrxZ7Xd7nd7ueAOUDCwaS1Z3tAsrNtGAxTa040GvLzhTPqTEZ8ftOYxAPH/Pnkrq7ot3u8PzufT304cjjs0+Z7kZvrICurdyz5+Q6WLEnvCm+zqTmWmZlm7PahS8CNiG9+A669tl/znvdcSkPPSuOyZUsJh8NYreqEKxKJ4Pd7yczMpLh4Do2Ndezd+xZ5eU7y83P6XUswc5gufx+TQTQaRa/Xo9PpOHbsGLt372b9+vUsWtSzGvrww5DkN5JRUwOf+QRk2uCaawa46tQJa1P12en1/cWGtrYWAMrKytKMy0FtrVMTFUpKSmjsWd0OBHxkZ1sHNK89XRnrZxcIBGht7RUV/mPp9Xz17a/2O+7GshuH7Csjw8C+fRCLhXiu+Sm+/8r3Odx6mIr8Cu7YfAfXrBjouw+SFMd95ZWcff/9/fY1fvzjnHnmmezdq1ZhKCwsZMmSebS0NOL1enA6TZpJYUNDdb/zL7zwfGy2wSMNi4qm5u9voH/TY56jadurOo8M+jlkZTlpbW3GatWRk9N7nCzL/QSFK664AovFgsfjITMzU6Q1jJDZdM8bK2P+VXa73S4Al8u1CHjZpaoPRiDxrZWA9FayPXR2Du3qOt3Iz3fQOs6rpYLJQ3x+0xvDwSqygcDlH8Df53OaiM8uUXtalqVp873o7g4SjQ5PbI3FVHOl1tZuAoH4EEePDOWi91Jzyy1UPPEEGfX1eIqLqdyyhYZNm7RjXnzxZdraWtiw4QIsFistLaeQZZnMzFzi8d7bTENDA7I8+hUiwdQyG343zY89iu3+e9FXHcHf812Pf/gjWnWVgwcPEwjEyMrKYc53vpv2ISp21/fofNflkzvwIZjKz06v7/8IqNPpcTicFBYuSjuuSCSmvS4tXcmCBS6OHz9GY2MdR48eJze3YELHPJ0Y62eXqLKhKAp6vR5ZllnkW8TNRTfzlOcfHPfXUWQqYkvuFs7NOn/IvhRFwWAwsuPo4/y47kda+4GWA1z712vxeIIDrrKHQmH851+AZ9kqbNvuQ191BLmsnMAttzJn61UoisLSpeVkZeXgcGTS3u5HktS/ssbGVq1iQlNTMzqdjo0bL+TYsSqKi+fh98spZSqnC4N9fmXZ5VR29I8ELMsuH/RzUBT12aCpqT25gs2oAAAgAElEQVTlnnr48D4AHI5MvN5u9Ho9Pl8Mv98P6GlrG3l0yWxmNtzzRspgIsu4Sb1ut7vW5XKdBIqBZnrl+DygacATBQKBoA+GStVVWS6bHHO/xIrYdDIAk6Thh0cnHLjj8fEVFEBd+ajfuBH/+z7AvHmLOHx4n1YqLvGAmlh1DAT8mM0WTp5sAFQzuuRwVI/HQ1HRuA9RIBgX+lY6SbjSvwF4e0S0YNDPoUN7cDgyec8o/UZmG0uXluNwZFJcPB9FiRMKhbBabYOmgCTC0xO53SaTiezsXBob6/B6PbNKVBgru3e/QTComh5mZeVoFUk2ZW7iujWfYM6cQl5//QUArfTgYEiShM1m589Vj6Td3zd0P1EasqysglgshsFg1Dw00l173rxUXwSHIxOA7u4OMjOziEaj+HxesrJyMBpNlJevGMa/wvTki2tvS6nCkeCWNbcOel6iSlUg4Ke1tYlDh/aybNkqrQLG0qXlWCxWYrGYiEwQTBqjSupzuVzfcblc73e5XBaXy+XsacsHClCrPbyE6sEAcEXPtkAgEAyMomB89WWIRDDsU8Mfo6vOnJSuE7m900lUGEmprkQdbVke//KSCYNFo1F9qF+3biMACxYs6fdg39nZ1vOfmj9tMpnR6fSasVowOH6lQAWC8WagSifz//ZHAJzOTK3N6+2mO00OOKg+JIJeTCYz8+YtRKfTodcbsNszhvSUKC2tYM6cIlyulVpbolRgOtM+wcAkBAUAiyU1PcBgMKTk5Ltcw5ugS5JEYzi94WJfE8iamira21s4cOAdYrHoiP0MsrPVMosdHW10d3fy6qv/BkjxFpqpbC29irvX/pD55vno0VORu4JfXvzQoH4KAFlZamWWjo42Dh7cg6IoWpQCgNOZhcViHbGRpkAwFkYbqTAHcPT89w+XyxUF9MB/ut3usMvl+i3wkMvlehNoAK4bj8EKBILTF/Pjf8P56RsIffha9O4jKGYzcvmySek78ZA6nW7AOt3wVxcSD+jx+MSKCqCWmzv//EuRJIkjRw6kHFtfX0tXV6/DuNmsPqzm5c3BarURCgmTNcH0IRaLUVV1CIPBwOLFrgEjDApOttFS0MmGJRdoE5umphNUbtnChu3b+x0fuGXwVUbB0JhMZioqzujXZjKZ8PmEqDBaTKbeVBSHI5P8/DlIksSiRaUoitLP9G8gMjIclJhLqA/3N1xcmllKQ0MdJSULkCRJu3ckPreRVlgym83Y7Q46O9tTDD/nzj09wt6uXv5RFgcWkJHhYP36c4d1jvq3YCYUCuJ0ZmnpWQDz5y+e1kawgtOXYYsKbrf7t0mvb0ratT7NsVHg42MamUAgmFXoD6t5hZY/q4VjoqvXQJoVDVmW8ft9Q4bPDodE/vQF7kq88+Yh3XFn2pDMqWA06Q+yPP7pD9GoGg6bvLqU+HdPREgkk3i4mTdvEVZrb+qDyWSmu7tzQspeCgSjoba2WgsXPnGinkuKi9O60h/OhwcP/oyrl3+EoqJ52ne8YdMmKirOwL79Jym54dPlN+R0Q5IkMjIyebJ2B199+KtUdbopyy7ni2tvG3Jld7aiKIr22mg0EemprGQ2W7SoM1DLgY6EJUtcbDm8JaUcYoIrMq/g6NFKDAYDhYUl/cLvR1O2OSsrJ8UvwWQyp9xfZjIZGQ5Wrz5nSJPJvpjNagWIvsaMc+acHmKLYOYxu+xzBQLBtEXJTg1ljK1KX7Lp+eefp7Ozk6VLl5GVlU1NTRUVFWeOOKSyb/505vHjcNONeGBKJwWrV5+D3+8Zkbt5YnI/GZEKySSLA1arTUsj0el0LFmS6oeRiFqIRiOYzZZxH6dAMBJkWaap6URK20CRB3efmxrS7XA4OXVKnYhFLiwlcuWHJny8ApU3fW+kTGQrOw5pOelCWOhPwiPB6cyiouIMJEnC7/fici0f03X1egObMlWfkR3tOzgRPkGxuZgtuVtYb10HwJEjB5BlGVnuNd00mcwUFpaMuL9EGcsE69dvGuDImUkinWEkJDyUEgacmzdfDKQv7SoQTAZCVBAIBNODPmVlo2ed3e+QUChIZ6caXh8I+Dh6VK2z3dTUyNy5xZw61Uhx8YK0K+jJyHIM609+nHafbdt9UyoqZGVlj/gBY2I9FfpHKiRI9n2w2eyaqBCPx/s92JhMqpAQDoeFqCCYctraWojFouTnz6W4eD57975Fw6ZNPNr9N677ZyMVrWqEwt3nwiMroSK71yehsHAedrtTc6IXTB6/q/3ftO19zQEFKglT3YwMhxYhsHp1/3vraJAkiU2Zm7hi4fvR6w20tTX3O6a6+jB5eWpV+Y0bLxz1b3/yPXHduo3DTtM4nUkW9Q0GoxATBFOOEBUEAsH0IJBaWjbynvf2OyThWg29k11QV0327HkLv9+LXq+nuHjBgN3E4zKvvvo8V55Gzu29ngpjT3+Ix+MoSpzq6kqMRhN6vXqbSCfUJD/UmM1WFi0qo7a2ivnzF/c7NvEQGImEgMx++wWCiUaWZbzebjIzszl1SjWZKylZQFZWDi7XCqxWG10l3+HMRYO7set0ulGtLArGTo33WNr2vuaAoIrHwWAQuz1j1k64EukO6SLNxorTmUV3dyc5OXmUlCzkrbde0YTltWs3UFtbTUdHG21tzRgMhjGNwW53UFFxBhaLTasGIehltn6/BdMLISoIBIJpgRTodagOXncjSo/TdzLt7S3a60RYPkBra7OWb6nWYx6Ymppq4nEZT0lJ2vzpmejcnpj4J4eZjgZFUXjppWdS2hYsWAKkr0aRKipYWLhwCUVFJRgM/aMaEukPiZUzwfSgoaGWeFxh/vxFp/WDaU1NFX/c/zs1VDtygmKTGqp9nuMSAIqK5gGwNVtd7d72zn1UdR6hLLucW9bcKlbBpwll2eVUdhxK296Xurpj1NfXUF6+gsLCeZMxvGlH4vd2Ilb2V65cw8mTDZSUqJU9Vq1ax86dL2O12nA6s5g/fzEdHW2Aeh8Zq5eO8ApIZdGiUvbv3wWkPg8JBFOFcMsSCATTAilJDJCCgX77ZVmms7Mdp9OJwWAkkCRCdHT0RjAkl8/qi6IoNDbWAWr+dDpmonN7wn8hFhubqJDu3y6Rk5suUiG5LS9PLS+plpHsf2tJPNS2t7dNSJqGYOR0dLRx9OgRamrcdHV1TPVwJgxFUXjk0B/ZfnI79eF6ZOX/s3ff8W2d18HHf9iDe4BbJCWOS1HUtmTJkrxiJ03tpFGi1GmTN02d4SRtLdd2djPb1G4aO7abvInT1kmbvs2S4zTNth0PWbasaQ2KuhyiSIp7L2zgvn+AuCREUKIoTvF8Px9/TNx7ATzQQ4C4557nnBDNvmaeaHuCX5x7ZtLxu8v28OJdr9L20T5evOtVCSgsIvdtfiDu9omZJFFdXe0A9PX1Ttq3XEQzFeYiqGCxWGOCBU5nAps3b9c7GKSmpmO3OzAaTRQUTJ09KGYmI8PFypVlwNwsfRTiSklQQQixKJhax4umGSa0JYwaGOglHA6Tl5dHTk7+pCveSUkpWCxWPf1yotHREbq7OwgGA3o17JYdO3jt3nsZKCwkbDIRrKxi6MmnlmTl9vGgQuAyR07N6/Xw+uv7J21vbY1kc8TLVMjKyqO4uJTrrrvhsu04o5kKPT2dk1pRivkXCgVpbm7Ub08M0i0WXq8Ht3sUj8d9VUt7vF4PT3fti7vv8WOPzvhxxfzbXbaHJ29/CiW1AhMmShNLefL2p+IGfqKZN4OD/QwNDc73UBeF8UyF2V/+EE9ycqoebDYYDGzevJ0bbrg57t8PcfWif1eFWAxk+YMQYlEwHzui/+y9688n7fd4PACkpaWRmZlAW1tzzImGyWTG4XAyPDw4qW3hmTMnGBkZIi0tI+YxW3bsoGXHDrKz8yb1RF9KossNriZTYWKfa4gEaYaHx7+Ix8tUsFgs+pWSy4kWaoTIFcQ1azbMcKRiNrS3X6C/v0e/3d/fQ3Z2HiaTaVEsgxgZGeLo0df09/hM3qOapjE42M/o6AgXfBfiHhNvLb5Y3HaX7eGOordx4MAfAFiTMt4pKFokdmhoQA8w+3xejh59lU2btpGSsrxqYUTT4heqsKEUVJxbWVl5dHd3kp9fuNBDEUIyFYQQi4NheJhA1Tp6ahrxv333pP3RL0c2mw2LxYKiVMXsN5lMOBxONE2L6ds8MNDHyMgQAP39kTTYiV8sk5KSJz3WUjMeVJh5psLFGR5lZatZubJcv321V5omtsi80vafYvYNDkaCSNdffyMORwLd3Z3s3/8sDQ3qHDxXP6+//rKe9TKRx+OmubmRYDDI0aOvUV39Bl6vh5qaUzFBw87OtrjV5eMJhUKcOHGEAwee5/jx16mtrabAFr+NXby1+GLxm1j0r7r6OBCZ98OHD3D06GvU1UU6A61bt5nExEh9ntHRkfkf6AKb70wFMb9MJhPr1l1HRkbWQg9FCAkqCCEWAU2LFGp0OtEyMuIe4vVGMhWi6X45Ofns3Hmbvj8aVIDxE2RN06itjRT12rBhK1lZuQBkZ+eSk5MPQGnp6su2oFzsjEYjBoPhqjIVfL7Y5SR2u4OcnPHCWFf7bzTx6re0lFxYIyPDdHd3YLc7cDicZGXl6PtaWhovcc+Zqa09g9s9Sm1tNbW1Z/B43IyMDOH3+zh48CUaGs6yf/+zDA0N0NXVzmuvvcjIyBA5OfnccstbKS4uBeDUqWMcOrT/ssU+h4YG6OvrjukQ846M+DVU4q3FF4vfxdk0mqZx8OBLuN0jDA8PMjw8iN3uICMji1WrIsHR5VgkdmRkGKPRqBfzFUKIuSKfMkKIhef3YwiH0RyOuLtrak7S0RGpueBwOPQvhxOveE8MKrS1NesFA0dHR8jMzCItLYPU1HRWrCgmMTGZnJwCCgqKron2VAaDAbPZPONMhf7+Xlpbm4DIlb1gMKif+BcVlTAyMnTVlbsBVq9eTU1NDQkJl66/IOZGOBymr6+b1tZmNE2juLgUg8FAbm4+TU3jrfqCwUDcDh5Xqr+/l1OnjsV0JWltbdJ/1+IxmUx60bHS0tVApMq5wWCgsbGO0dERDhz4A8nJqSjKGv0qNKDXS4lmKq1cWUZRUQnnztVSbCxlzZoN0tXhGjUw0DcpaBA9kZ6tzjN+v4+Ojlby84uWRCD6xIkj+nthMSxpEkJc2ySoIIRYcNF2kpozQd/2TN0+Hjv6CLX9ZymwFfCurHfx0Z33jqVxTv5yODGo0N3dSXd3JwUFxQBkZmZHnsdgIDk5Vb/PtRBQiDKbLTPOVOjsbNN/Tk3NiPnCHL3KNxvKysqoqam5qqJ7YmaGhwc5ffq4nvED4x07HI4EbrjhFpqbz3HhQhODgwNkZLiu6vk6O9s4c+aEfnvt2k243W4aGmJrGBgMBpzOBLxeD7m5BWRkuDhx4ggrVqyMCRrm5xfR39+rd6kYGhrg8OEDVFSsJTe3AE3TOHLkVex2OyMjkfayiYlJGAwGSkoUAFZSJkGEa9TEpTWRAGtQDyZE1/VfKqigadqUJ96Wn/0U52Nfx1yrklBQQOcHP0z6x/bO4uhnn6Zpelek1NT0BR6NEGI5kKCCEGLBGdxjyxXGMhWeqdvHPc/ere9v8jbxaPOjKN1VlJX9ZdzHMBpNMVctIdIxwmg0kp2dO0cjXzzMZktMLQmIVPRvbW2mpKT8kjURJtZTmMsrcNFsB02ToAJEMgIGBvrJyHDN+ZXEhobamIDCmjUbYtal22x20tMzuXAhkklwJUEFTdMIBPz6yVswGERVq/X9RqORjIwsMjMNpKSk0tHRSmJiMgMDvZSUVGC3x2YobdmyY1I2i8ViYePG6xkZGWJoaACbzcHp08c4f76enJx8RkaG9P+iJgYQxbVn/fotnDhxGIDu7g59e2lpBSMjI/qyHovFisFgwOfz0d3dSX19DYWFK8nPj7Q59Ho9HD58gIKCokmFZ23P7CP5ox/Ub6c2N5P6xc8zkJ1H4J3vnuuXOCOBQIBjx14DIgH1tWs3LfCIhBDLgQQVhBALzjDW2UFLiGQqPHb0kbjHPX7sUT5yQ/ygAkROiC0Wi76WemRkmISExGXRzspsNhMOhwmHQ4RCYUwmEydPHsXjGcVqtVFUtCru/TRN06/slpVVzukYo0EFyVSIqK8/S3v7BVauLNPrBswGr9eDyWTGYrEQDocJhUL09/fgcDi5/vob8ft9cetapKVlYrc76OvrIRQK6QGmiVlD5WkKezc9wDvLx0+ompoaaGysIzU1gxUrimhubiQUClJcXDrpJC0lJU0vlDpVxfKLg4MX74vuz8nJp62thZaWxpjlGy5XNiUlilSev8alp2eya9ft7N//rL6tqKiEnJyCmCCdwWDAYrHi9/uor6/B6/VQW3sGhyOB9PRMenu7CQYDnD9fT35+YczvjfOx+H+L7I9+bdEGFbq62vQWsSkpElgTQswPCSoIIRacYawqt+aMLF+Yqs3bpdq/Ra+6Op2JDA7269sntjK8lkW7K7S3t1JbW43RaNRP3i/u7DCR3+8jGAzgcmVTUFA0p2OMBhUuPmldrqLdSBob6zCbLbPy7z8yMsSRI69is9nJy1vBuXO1+r5oivdUhTKNRiOZmVlcuNDE8PAgqanpk7KG1r10hu3/8EEyej5MSKmgbs8eGqvWYDAYGBjoZWCgVz82L2/FVb+eSyksXElnZ5vesaKwcBUrV5bNSv0PsTSYzWYSE5MZGRkiKSllyuVaVqstJosFoLe3i/T0TAYH+/Rthw8fwOFwsmnTNgBMtfH/5lgb6mfpFcw+v9+v/yz1a4QQ80X+8gohFpyxOVK4LZwXafs2VZu3eNujV3ij68MvviJvty+XoEJk/Xm028XEbIDo2tr+/l5OnDgSU3shmqUwH18+J57s9ff3zPnzLWaapsXMQ13dGRoaVILBACMjw9TUnGT//udi0rqn85jnzzegaRperycmoADoNUYuJfp7cPz46xw8+BKPHv6avu+uU/Cjp2FdFxjDYSw1Z6j8+69QeuQoa9du5rrrdpCfX0RKShqKUjXnXT4cjgTWrNmo33a5siWgsAxFaydEa+pc6piJ/H4/Xq+H3t6eCdt8DA7268VCQ+Xx/xYN5eczPDx4NcOeMxNrRyQmSlBBCDE/5K+vEGLBmevrAAiVRVKl79v8QNzj4rV/Ky4u5cYb34xzrMhjRkYWGzZs1fdH20he6yZW64+ml0f5fF6amhp4441D9PV109vbre+L9m5PSEicn4GOCYWW9xIIr9dDMBggKyuHdes2A9DcfI4DB17g8OFX6OhoJRgMcOHC1J0SokZHh+nv7+XQof10d3fgdCbgcmXr+xWliuuvv3FamRDp6Zn6ciGPx03dwHhg4rP749+n6pe/JCPDRVJSMuXllWzatG3OsxSiMjJcFBQUkZaWeU0VXhXTV16+huzsPEpL4wcAgLhLYbxeD6+99iLBYID0dFdMjZHoifno3vgtR2ve8Q5aWs5f3cDniHusRlF6ukuWAAkh5o0EFYQQC85UFzlxCZZEggq7y/bwYPEnKLYXY8JEoa2Qf9jwUNzK7QaDYVIafXJyCmazhbS0DNLTM+f+BSwC0eUPEAkqRLpkjJt41ToQGL+S5XZHggpO5/wGFfx+7+UPmiW2Z/aRdtN2MnPTSLtpO7Zn9s3p82madtn2ddFU7MTEZDIysvQOBeFwKOa4gYE+vQBnV1dHTEAosq2dQ4de4Y03DunrqFevXkdV1SZuvvmP2LnzTeTlrcDpTJhWMUi73cFNN71Zf08V2Ar0fZXd8e9jqauNv2OelJVVsmHDFmmbt0zZ7Q4qK9dfMjNmYtDU6UzAZDLFLIdYtaqMLVt26Lf199ytb+K1e+9loLAQzWwmWFnF4Hf+nd7b30xnZ9uU2QqDg/10dbXHbOvr6+Hs2VNzWlOmo6OVwcE+EhOTWb/+OnlPCCHmjdRUEEIsOFNDHZrVSrhw/ErqtsTruWXtLXp6/qr86bc2NJnMbN9+87Jasz8xU8FkMpOe7qKjoxWbzT6pK0RdXQ0FBcX4fD66utqxWKw4nVOnDs+maCFNr3fugwp+vx/rz35K8r0f07eZa6pJvuduhgDf7rlpL1hbW01bWwtZWbmUl68hEPAzMNBLXt54YcJoACC63GDFipXYbHYCAT9DQ4OsWlVOT08XdXVn6OhoIysrh+rq4wDs2nU7oVCI+vozdHXFLo/Iy1uhdz2IFqibiW3bbmJkZJj70h7k/lfvBeCMK7L04WJTpYgLsVjk5BRQXx+pj7BmzUZqak7of1syM7P0LBdFqUJVT3P8+Ovccstb8Xo9tOzYgfl9f0lxcYn+eEUdrdTUnKS6+gTbtt2Ipmm0tjaRlpZJQkIiJ09GlpmZTGYyMlyEQiG9U0VBQZFebLS3twuHI0HPtLsaLS2N1NefxWw2U14+t0V3hRDiYpKpIIRYWJqGqa6O0KoSfMEAp08fx+MZJRQKxaRuapp2RQ9rNpuX1VWaiQEUk8mkZ2hMVUnf43Fz/nwdoVBorLjd/ARgtmzZBYDP57nMkVcmGAxy7lytXqQsFApx7NhrWL7+UNzjnY8/OqvPP1FHRysQySJ45ZXneP31l1HVaoaGBoBIlkI0cyR6ddVgMJCdnUdBQTGVleux2x1kZeVgMBg4d07l4MGX9Mevrn6DQ4depqurg+TkVLZs2cm2bTeRmZmtt8m7WlarjfT0TN634QM8eftTVGZU8U83xf/K4J4iRVyIxcJisbBqVTlOZwIOh5OMjCx9n8uVo/88sQbBwECfXvQ3KSn2czQnJ5+EhES8Xrd+bF1dDUeOHADQ66XU1lajaRrt7S36faOfUX19PZw8eZSTJ49c8d+3izU21lFffxar1cbGjdsmLYETQoi5JkEFIcSCMnZ1YhwZJlRaTnX1G3R3d3D8+CGAqwoqLDcTC9RFgwpWq23KlmIHD75EW1sLTmcCubkFcY+ZC1ZrpGf88PAQXq+H/v5evSja1WhsrKOpqYEDB54fK1hYh8fjJvnChbjHT1XV/WpomkYoFCIcDpOSkjYpHTuanTBxLfalUratVlvM3ESXtPT1dRMMBvX6BYmJSTgcTtau3TQnhdl2l+3hxbte5f/9JMTQk08RrKzSU8GHnnxqzjI+hJhNRUUlXH/9jZhMppj33cSgQlJSil6H5/jx12lriwQD4hX8tVptaJpGOBzWO+xElzZEM4S8Xg/Nzeeoq6vR79fXFykMGe3+4vG4CQaD+HzeGf2dCwQi7TDtdof+eSCEEPNtWssfFEVJBX4OvKiq6pcmbLcC/wxsARzAJ1RVfU5RlF3Aj4FzY4fepapq62wOXAhxbdDrKZSW6ev7o+n6VquVysr11NScJCcnf8HGuBQYDLFBBYvFyg033DJ2pTvyb1xcXIrd7uDs2VP6sSUlFfNaMd9gMOjdCb7+26/y896fc8F3ASV9NfdtfiBu3YzpiKYyA9TX1+gFDocKCkhtbp50fKi8Aq/Xw7FjBzEYDGzduuuqlsuEw2Gqq4/T0xNZH2Cz2amoWMvrr7+sH1NbW43d7qCzsw2IFBW1WCxxHy+qpETBYrGSnZ1LQkISL7zwGyBSgHS2shKuhG/3HgkiiCUvLS0Dk8lEaenqmPe9wWCgsnL9pHoINptj0mNE7xcKhWLaOAIEgwH954u7sLS0NLJqVbmeuQTQ1dXG9w7/K78e/g2NI+coT6uY9uehxxMJVmZmZl2yA4YQQsylywYVFEUxA/8LVF+8T1VVv6Iov1VVda+iKArwU2AdkAF8T1XVz832gIUQ1xbzsSMAhErLCAQCMfuysvJISkomOztvIYa2pEwMDESXMly8/MPlyiExMYne3m69VWFGhmv+BjnBgcEDPNH2hH67pq+ae569G+CKAwuapsUUXYsGFFavXkfNO97B9ieemHSf3o98lObmRj2A5fG4p7zC19bWwsBAHwUFRXq9gou1tjbrAQWIFINzOhPYseNWfD4fR44cIBQKcfz46wCsX79lWkVEzeZI2nbU1q07cbvdMd0dhBBXxulMYNeu2+MukTMYDJSUKDQ0qEAkQDixEG5U9HM2HA7pJ/YQWf6kaRqpqekMDw/qmVjp6S69ve/w8CADA30ArDhwgKz7/4pH2nr4oAv+cRf8eO345+FHXH856bk9Hjft7ZEsrKamBiDSYlUIIRbKZYMKqqoGFUV5J3AHUBxn/2/GfmwDot+20oHl3YRcCDEt1uefRTMY8N/2ZjhxSN9eUlIxaR2rmNrFyx8udUy0KNiKFSsXpO5EQUExPz/3ibj7Hj/26BUHFUZHh2OuDEZlZeXQ9sd3csxmZ+2vfo259iyDeXmRdnC5Lmgdb9cYCPgn3R+gvb0FVT0NRGokbNq0bVJgQdM02toi2RCpqekkJaVQWLgSiKRIW602tm7dxaFDkZ6MlZXrZ9yVJCEhSS/uKISYuUt99q1YsZLExOQp/wY9U7ePfzryD5wfPc+qCyXsyd7DRssGILIUCyJLIKIBhaysXFavXsu5c7W0tJzn2LGDABS++irbJgQ913XBj56O/PzjtZHPw4/cEBtU8Pt9MTVWoua7LbAQQkw0reUPqqp2RxIRLuldRDIaoj6kKMoe4A3gQVVVZ7cqlxBiSTB0dmI+V09wTRVa8uQ+8qa2VsJZ2QSSY7+8RU/KxPTEy1S4WPRLdFFRCQkJiTFriedTQUERF3zxax3U9l95rYPR0ciymdLSCsxmi768w2g0sWHDVrT1Wxj4xN+haRovvvjbmPva7Q68Xs+UQYX6+sjVSrPZTDAYpLW1WQ8qBINBDAYDNTUncLtHcbmyqaraFPdxEhISWb9+C4GAXzJvhFjkDAbDlIG/Z+r26VkEAPXDdTw8/BB/u+JvuTH9JrzeyNddpzOBkpIK2tsvUF5eidFoiqkTBLDuV7+O+xyfeSUSVIj3eRityRBlsViw251TZlEJIREEgsMAACAASURBVMR8mJWWkoqiFAAPArcCqKr6FPCUoigG4HHgfuCrU90/Lc2J2bz0Wr+5XHK1aCmT+ZsHTU1w/Xpwu8FshjvumHxM6wXYsAFb7HetS86PzN1kRuP4SXFmZhJpaeP/Rrt27aKzs5MVK7L0wEJOzsJ8AY3MXRKFjkLOe85P2l/pqow7v319fRgMBtLSJlc17+6OXA3MzXWRk5OjBxXiPc4dd9xBMBgkEAgwNDSE0Wjk0KFDWK2GuMcnJSXS39/PO97xDn71q1/R19eNyRTAYrHw7LMvAJHggt1uZ+vW60hImDoF+Vr4vb0WXsNyJXM3O7657xtxt/+i7xf82do/o7GxEYD8/GwKCgqIrAqOCIWy9WUVAI7Gcxc/DADrOuGuU1BzW6Q1ZHTufD4fL7xwUj/OarVy5513xl2eIRYPee8tXTJ303fVn0KKotiIFGW8T1XVmA7WqqpqiqL8BnjfpR6jv999tcOYdy5XEt3dw5c/UCxKMn+zQNMwnzqBsa0NY28Pga3bCJWVxxxi+9XvSXaPvb+DQfif/4n7UO7NW2lsjL1yPdX8yNzFNzLi1X8eGvIRDI7/G5nNieTnJ9LTM7IQQ9NNnLt7Kj/OZ45+ctIxf7XuvknzGw6Heeml5wBYt+460tIyaG5upKurDUVZS3d3ZG1yIGCgp2eEjRuvx2AwXOL3xAjYSEpyMToaOaa1tZ3k5CyGhwdJSkrRMz+8Xj9Wq5Xe3lEyMrK4cKGJ5557btIjlpdX4XaHcbuv3d9Nee8tXTJ3s+dM95m428+7z2OxjBdKDIctk/7NTaYEtm+/mYGBPoxGI6HyCsw1k0qWYSCyDOL5dduByN/DcDis108AWL/+OhISkujvl0TgxUzee0uXzN1klwqyzCiooCjKV4Ajqqr+AngS+Imqqs9N2J81IcCwCzgZ52GEEEuY7emfkPzxD+u3gyWlDH/ru4RKStHG2hiamiNr1gd+9DOCm6+L/0AGA1pyCqM1kY8JpzNRlj7MwMTuD/PZzWGm/nLLR7DbnXzjyNdo9bWSb8vn4+v+Jm49haGhQf3nhoazZGfn0dgYqaje1dXO0NAAJpMJuz3yhT41NX3a43A6E7HbHXR1ddDV1aFvdzgSWLGimGAwoHdocLly9CKQF5tpjQQhxNJSnlZBTd/kQECho0ivwWA2W7DbJ3eMgMiSq2g3I/d9D5B8z91xjwO46ccH4AuRn48efVXvcmO3O0hLy1yQmjhCCBHPTDMVsoEkRVG2Ae8FShVFeffYvo8Abx+77QWagA9d9UiFEPMrGMT29E/w33o7miu2Q4Chu5uEr0S+6bjvvR/z8aNY979E2h/dCkSCCIFbb8P8xjEAQmXleqBhKtGCVhs3bp207lRcXmyhxsWfCms0Gnnv+vezI+UGvbBZWW7lpONGR4c5fvygfjstLVPv7w5w4cJ5IFIIbSZfsA0GAxkZWbS2xgYLPJ5RamsjJw4OR+TkICVlfOlFYeEqkpKSqa5+g1WryuXLvRDLxH2bH4ipqRB1V95dJCYmYTZbSE1Nm9Zngm/3HoaApHvuJt7RptpITYXBwYGYtrmKskY+c4QQi8q0v3mqqvr9CT/fM2FXvCbbZ4CHZz4sIcRCs//wv0h64F799uhnPo/7vgex/+D7JD24F4Bwejqjn/wsZrUG65t26cemvued9B4/g+XQQUJFxYRXFF72+aJBhak6F4hLiw0qLP5Mhaji4lISE5M4deoY4XB40v6WltiTfb/fR39/L3a7g1AopBdYXLmybMZjKCgowuNxk5qajs1mo6mpAYPByOjoMHa7g7y8yO+vwWBg9ep1DA72s3JlGQaDga1bd+J0StV1IZaLaDbV48cepbb/LIX2Qu5MvZNbs27DaDSxZcuOKwrs+nbvwfnYI3GXQYTKK3APDXHs2GtAJGCcnZ1LSsr0s7GEEGI+LP7LWUKIBWF5JbZlVcJDf4/znx/CEAwCEKxYzcDPfw1WK8G16+mpbiDhkYex/+f3MASDJDz8Dxj7+/Ft3Tat5wuFIo87VecCcWkWi1X/eeJSiKVgYr/3i3m9kZocpaUV1NefxeOJ3M7IcNHR0ar/HG2TORNOZwLr148vz4mmJodCoUlBrpycfH0/IO0dhViGdpft0YMLPp8XVT1NefkagCmXPVzKVMsgej58D6114y0qt2zZgc1mv4qRCyHE3Fha3zyFEPND07C8eoCwK4uBX4y34IsGFDSTif4/HEBLzxi/i8vFyMOP0NPYjuZMwP7j/wYgpKye1lNGT+AkpXNmjEYja9ZsoLR09ZL7NxwPKkQyFaJZKwCBQACTyaS3v4xmJpjNFjIysgAoKCiek3FJ1owQ4nJsNjvr1l03o2BClG/3HoaefIpgZRWa2cxgcTGv3XsvL+dl0d7eDsD11++SgIIQYtGSoIIQy00wCCOxXQAMfb0Yhof026aGekydHfhv2Elg2w30vfBqzPGhsvJIi8h4bDYCW7bqN31veeu0hhUKBZdELYDFLCsrlxUrihd6GFcsulwjFArR39/Lyy//np6eTgCCwQBms0Vf3uH3+wAwm80oyhq2bt0lRRKFEEueb/ce+l98lZ62PgZefI2WHTsAcLvdGAwGzOZ4q42FEGJxkKCCEMtM4qcewLUqj5R3vR3Hd76J86GvkFmxksySAhI/+begaTj+/UkA/Le9GYBQ5Ro87x9PzRz+2mOXfA7PB8ZrswY3b5nWuILBoFwZXqaiAYPh4UHeeOMQAKdOHePEicP4/T4sFsukbAaTyYzZbCEhQeoZCCGuLU5nAlu27KCsLFK81mq1LbkMNCHE8iKXBYVYRgwjwzh+8D0ArPtfxLr/xZj9ju//O74/+mPsP/g+ocJifO8ca+piMDDy9cdw//VejH29BDdN0R5yjP/mWwlWVuHdcxdMo71hMBgkEPDr7bjE8hINGAwO9uvbrFYrfX09QCS9+OI2meapMmWEEOIakJiYTGJiMi5XKiMjvoUejhBCXJJ8KxNiuXC7Sb9u7ZS7Nbsdg9dL6nveBYDn/R8AS2y6Zbh4JeHilZd/roQE+l989fLHjYkW33M4nNO+j7h2XLwW2elM4Prrb8Tn8zI42E9SUkqcoIKkAgshrn0FBQV0dw9f/kAhhFhAsvxBiGUi5f/chbGvL2abZrfjv+kWRv7hYXpqGglWjBdVDGzfMW9jixbfm9jBQCwfF6f1pqSkAZEMhaysXD3YlJtboB9jt0vBMiGEEEKIxUAyFYRYJsxnTgMQ2LyFwf/4IZZDBwlu2kw4b7w93uAPnyZjY2QNZ3DdhnkbW3Csq4TFIleflzuz2cKqVeVx9ylKFe3tFwCw2WZeaV0IIYQQQsweCSoIsRyEQhj6+ghcv52B//0dAP473z7psHB+Ab2HT2IYGQGbbd6GFwwGAElpX86MRiPhcJiiolVYrfF/9wwGA2vXbsLtdktNBSGEEEKIRUK+lQmxDBj6+zFoGuGMy7feCxcVz/2ALhLNVJATxeVr06ZtNDU1kJdXeMnjMjOz52lEQgghhBBiOuQbvBDLgLG9DYCwK2uBRzKZ2z1Cc3MDEFlDL5anpKQUqqo2LfQwhBBCCCHEFZJCjXMsGAzg9XoWehhivoTD2Pb9GOvvfgOBwEKPRmc5fhSA4Lr1CzySWLZn9uG67Ub+ZM8e7vjs58h87tmFHpIQQgghhBDiCkimwhwKh8O8+uoLhEIhbDY7FRVrSU+/fPq5WLqsv/4lyR//MADet+9m+N/+I+5xpurTGIcGCWy7AS6qfD8XTPV1AARXV875c02X7Zl9JN9zt347oaEe7rmbIcC3e8/CDUwIIYQQQggxbRJUmCPBYJATJw4TCoUA8Pm8nDhxmNTUDBRlDU5nwgKPUMwFy6v79Z/tv3gGy8bDaImJsQeFw5jragEY/sY38b73/fp26+9+Q7BqLeEVl15XfqVM5xsBCBWvmtXHvRrOxx6Jv/3xRyWoIIQQQgghxBIhyx/myOBgP0NDAwBUVq7nuutuID09k4GBXhoazi7w6Oaf9be/JvXWnRg6Oxd6KHPK2NMNwNC3vkuwXMHg9WDs6Y79r6+X0FgxROsv/wdjRzt4PFh/+T+k/MWfkbG5Cse/fntGz2/7yQ9J+PynSfz0A5iqT2N5+UXMRw5h/cOzhApWoGVkzNZLvWqm2vjvg6m2CyGEEEIIIRYfyVSYIx6PG4DVq9eRnZ0HwPr1W3jhhd/Q09OF3++bsm3atSj57vdhCAZxfvMxRj/1Obj46v0Yw9AgWlIyhEIwg04AppozhErLwLIwrQmN/f0A+N72Dnzvfs8lj03ftAbb889iW6dM2pf4uU/hfdefkvrOtxHKzSWwfWfcx9CSkvC+7y8wXmgh6cG9WPe/pO9zPPWvMceOPPz1eVlqMV2h8grMNdVxtwshhBBCCCGWBgkqzAFN06irOwNMXc2+s7ONpKQULBYLCQlJ8zm8eWeqq8Uw1jLQ+eS3cD75LUY/+VncD3xq/CQ3HCbhS3+H8zvf1O83+tkv4L7vwek/z5lq0m/eTmDL9Qw8/b+XPthrAa/3il/L5Rj6+tCcTrBPo4uB36//GFyzFnP1qZjdmRUrATCfOY3t+akLGJqam3B+63H9tu/OP8H2y/+JOcbz3vfjf/Nbp/MS5o37vgdiairo2/fevwCjEUIIIYQQQsyEBBXmwNDQIABGo5GUlLSYfS5XNt3dnRgMBo4ffx2I9GdPTEzCZJrb6dA0DcMCXKlO+MrnAQhnZmLs6Yls+9o/QiiE/9bbcH7zcSwHD+hX+fX7/eNX8L/pdoJrL9+xwPr877H96L8BsBx+HVfh5Vsnuq70hUxTKC9/Wse57/8kzm89zsDPfomWkEjq29+CYWgI/x1vw/G9f9OPG/zvn8bNMDCdPkXiV78cE1DobukGs5m0GzZjam5i6Pv/jcE9iu8d77r6FzbLfLv30NDTRcaT/5eUtjZC5RW4994v9RSEEEIIIYRYQiSoMAcGBnoBqKhYi9EYW7YiL6+Q7u5O3G63vu3YsYNkZmazdu3c9Wg/ffoYg4MDbNiwlYSE+EsP5oJhaBDb735DYOMmRr/w96TuvgOAcKaLhEf+CeejX8OgaYTyC+CioAKA7Zmn4wYVHP/6bZzf+Hrkcf/+IVL+bPxENFhSSriw6JLjslrN+P3Bq3x18fneeue0jvPe/WG8d39Yv91/4AgAxvON2P/jKQzhMKP3PYj/trfEvb+xah2JX/3y+P1/8zzYIktqBn77B4y9vZGlIItY8/btHC1dyfXX3yjFS4UQQgghhFiCJKgwizweN93dnXR1dQCQmpo+6RjL2Fr/aBHHqJ6e8QKG/f29NDU14HA4WbWqHIvFOqPxhMNhGhvrCAQCdHdHHv/cuVqqqjbOW8aCYSwzIaSsJrB9B74/uoNwfj7h1DQSHvknDJrG6IOfxv2Jz5D42U8QTk4m4Rtf1+9vOXQQ52NfRzNb8Pz1Xn274zvfwtjTje3Z3+mdDQA8d3+YkYfjdxWYyOVKYrB7eBZf6SwYm5PwylX0HasGn49w8copDw9n59B7+CTh3Dywxv6OaGnphNIm//4tJuFwmP7+Hux2Bw6Hc6GHI4QQQgghhJgBCSrMArd7lJMnj+jFGQEcjoS49RSixRmHhwcn7VPV05SXr+Hs2VN4vR76+3ux2x0UFZVc8ZjC4TCnTh2jr687ZntPTye1tdUoStUVP+ZMGAci2QfhtHQwGhn6zx8CYP+Pp/Rj3B+/FwwGRh6KBBNCK0swhELYv/dvmI8exnLoYOSx2lvx7bmL4MbNaAnjV7Wj7Rndex9g9NN/Ny+va66Fp7mEIjzWRWKpCAYDNDTUUlhYjNfrJRgMkp2dtyDLcoQQQgghhBBXb1pBBUVRUoGfAy+qqvqli/bdBHwNMABfVlX1V4qimIF/B8qBZuAvVFWd/ap4i0RNzYmYgAJAYmL84os2m53c3ALa2y/EbDcajbS1tVBQUITPN/5Pde5cLYWFq674pGtwsH9SQCEvr5C2tmb6+nqu6LGuhrE38lxaWmxticCOXQCMfO6LkzpB+N7zXgBM1aewnHxD3+781+9grj7N4M9/jaGvj+DKVbgf/DSJX/gM4UwXo3/7CTCZ5vLliKt07lwtbW3NtLU16wVKMzLmqrqFEEIIIYQQYq4ZL3fAWIDgf4Gpmsf/C7Ab+GPgEUVRjMBdwICqqtuBOuCDszPcxcnj8eg/RzMAcnMLpjy+omIt6emZMduKikoB6O3tQdM00tLG94dCoWmPxefz4naP4naPAlBWtpqiohJ27rwNRVlDWlomXq+HwcHJ9Qtmm/nIIVLe+6cAhNMzYvaFSsvoPt+BZ+8DU97f9+73oDkckfuP1YEwnzyB6Uw1pq5OtPR0fO9+D701jfTvPwROSaFfjJ6p28dNP9pO7rfT+PP9d3Fg8AAAo6OR5SdJSSkLOTwhhBBCCCHEVbhspoKqqkFFUd4J3AEUT9ynKEoRMKKqatvY7fNAFXAb8MOxw34JfBL41mwNejEYqqnh5JGj9FktaGNZBBk+P6tefJFCA5jbf3vJ+28yGPCYjBxwRa7gZx8+RGNmKg0NkdiNs/UCDqDNacf49I+xh8Ix92922mlz2Mjx+Ch2RzIbPCYjr2bFrqPPeO010gJBOBjpNLHCYaM/NYmRF58ne3Q8GKI5nYSzc9DMs7QiRoOkvR/Tb/pvvHnyMZcJAgQ3bqbnXBsYjWAwkPDFz+H89r+QfvN2AMJZObMzVjFnnqnbxz3PjreNbPY180TbE2RkuKgIlgPMuGaIEEIIIYQQYuFN6wxSVdVuRVHi7coGJubSd49tm7g9um1KaWlOzOallbZ+4Ae/obdgPBuh4uc/Z90Pf3iJe8R3Z1oaQbsdZ28v/OAH+vbE536PZjTCnXdi+cY/k3TuXMz92h56iP5VqxgJBlh731+hAYe/9CW4KKiQ88n7sY6O6rfzs7M5+cQT+N44StK35iHOs3MnfOtbpFVVUVtby4oVK0hImGGV/7e9Fb79L/pNW0UZLlf8ZSbTcTX3FdPzzX3fiLt9X8dP+Pb6b5Oenk5WVvIVP67M3dIlc7e0yfwtXTJ3S5fM3dIm87d0ydxN39VelrYQqaUQZQCsF22PbptSf7/7UrsXpQ1vext5f3iZw2mRXzbbLbcxdMNNM348N3BzzwDHUxIZtJhJvPEWhscCLc899BBlIx4MaPiNRspGPLgzIinjAaeTM//6FJawRk9qIhm+AIUeH8dTI8sFvA8/wsRiFhpg1DT6tt/AUMVafbuprRXjhQuTah/MmNeDsaeb0c9/hXBuAZ1n6jhz5iSnTp1i5843YTZbrvghDSWVpGdmYhzrKDGSlI7nog4OP6v9KY8fe5Ta/rOUp1Vw3+YH2F22Z9JjuVxJdC+27g9LmMfjJhDwk5ycGrP9TPeZuMfX9NZQXr4O4IrnQeZu6ZK5W9pk/pYumbulS+ZuaZP5W7pk7ia7VJDlaoMKncDExfKZQMdF26PbrikJZWUkpuaQevx1Bgb6cLzlDnxX2RbPAKwLBhkY6CMpw4U9EKC/9jS9vd3UJTr047yrSvB1tOq3TycnUFBQBBeaKNq+i6SkFFxn3iArKxffLbmTnifx6KsMDw8x+Ce7sdsdk/bPhWhhSk3TOHv2NAYDmExmKiYENjweN2fPnsLv91FYuIq2thbKyyv1NfdaWjq9p+tx/N9/wfnY1/Ht+dOY53imbh8ffW68fEdNX7Weeh8vsCCuns/n5fz5etraWgAoKiohNTWdtLQMDAYDpSllqAOTy7GUp1XM91CFEEIIIYQQc2BGQQVFUb4CHCFSwDFTUZQ8wE+k28Mp4CUiNRh+D9w5dvuatHbtJnw+H46rDChEmc1mMjOzALBarVRVbcLv99PZ2UZ3dweDg/10TAgoREW3JSQkYjQaqaraNOVz5OWt4OzZ01y40ERp6dyf3IVCoUjgxZFAMBigu3s8xlRauhqz2Uwg4OfgwfFfk7NnTwGRbgHr128ZfzCjEc9f78XzV5E2lFFer4evv/5w3Od//NijElSYAU3TOHPmBH6/j6SkFFJT00lJScNsNtPefoGRkWHa21sIh8frfTQ1NdDU1ABAVdUm3r/yA3zu+KcnPfbeTffP2+sQQgghhBBCzJ2ZZipkA0mqqmqKonwU+J+x7XtVVfUrivJ94ClFUQ4CLcD7r36oi5PZbJlRKv+VsFqtrFhRzIoVxfT0dHLq1DEA1qzZSHX1cf04lytnWmPJzs7j3Lk6WloaychwEQqFyMhwXXHbyukaGRlC0zTS0zPp7e0iEBjf19vbhcFgoK6uJu59vd4pOpEaDJw7V0tTUwObN2+nvv4sDUP1cQ+t7Z+qcYm4lMHBfrq62gEYGOijpaURgLS0DPr7ewGwWm2sXFlGTk4+g4P9vPHGIf3+bW3NbE/axr159/Ks9znqBmopT6tg76b7JcgjhBBCCCHENcKgadpCj4Hu7uGFH8QVWsh1Nj09nVitdpKTx5YFaNoVBwSamho4d65Wv60oVeTlrZjVcUY1NzfS0HCWysr1eL1eurraKCoqobr6Df0Yo9GIzWYnMTGZ/v5egsHxyENFxVq6ujqoqtqAyRSJg2maxosvxnbY+MS5T9Dsa570/JUZVbx416sx22Sd1OXV19fQ0nKe4uJSmpoauPizIjU1g3XrNmMyjRdZ1TQNt3uU6urjuN2jWCxWQqEQu3bdNmtBK5m7pUvmbmmT+Vu6ZO6WLpm7pU3mb+mSuZvM5Uqa8su8cT4HImZHZma2HlAAZnSylpdXGHN7YKD3qsc1laGhAQCSk1MpKlrFli07SU/P1PenpKSxZctOtm27iaqqjWzatI2SEoXi4lIgshSir6+bl19+lsbGOiCS/XCxvyz9UNzn/5sN9832S1ryfD4vbveIfjsYDNLb200oFNK39ff3YjQaKSpaxc6dt016jLKyipiAAkR+FxMSEsnOzkPTNPx+H06nc86yYIQQQgghhBAL62oLNYolymKxcMMNt6JpYV577UWCweCMH8vn89HR0UpeXgEWixXbM/twPvYIptqzBErLsb/ldqy33BJTFNJstpCR4cJstrB69bqYk86EhEQSEhIZHOzn/PnYJQ3nz9eTl1fIwEAfAOXllQQCAfr7e/lA+YfIyyvQuz8UO1fyx8lvRQmUzfi1XYuCwSDHjh3E6/WQlZVLb29XTDBh3brrSE5OZWRkmNTUdIxGE0YjVFVtpK+vh+7uToxGIwkJU1eALSgooqOjDbd7BIvFNh8vSwghhBBCCLEAJKiwjNlsNn3phN/vn/HjqOopenu7GR0dpvLkKZLv/bi+z6rWsF2t4VRiMoYdb4q537p1113ycZOTU8nNLWBkZAiz2YLNZqejo5Xz5+v0bgMZGVnY7Q49q2F32R59vX4g4OeVV56nu7uD0dFhEhKSCIdDMSfQy00wGGD//uf029GaCROdPHlELzyaljbe3MXlysHlymHVqnLg0hkyJpOZTZu2ce6cSm5uwWwNXwghhBBCCLHIyPKHZc5gMGC1WhkdHZ60Zr63t5sXXvgNtbVnYjo2TBQOh/SifZ2dbVi+Hr8DQ/nT+2Y0toqKtVx33Q42bNiqBw6iAQUAm80+5f0tFiuFhasAGBjoB6CuroZXXnmec+fOXfF4hocH4y67WEomdti42PbtN5OdnQdE2nsmJ6dSUFA86TiLxYrFYr3sc1ksFhSliuTk1BmPVwghhBBCCLG4SaaCIDExmd7ebgYG+mKuTNfXRzoytLY20draxC23vDXmfn6/n/r6MzEtBZMvXIj7HNaG+J0ZroTD4cRqteH3+/Rtl1urn5GRRXPzOc6fr6O2tlrf3tDQwIYNrmk9byAQ4OzZk/T0dAGwbt1mMjKyZvAKFpbHM0pgrPVGXt4KUlPT8fl85OYWEA6HsNnsVFSspbOzDYAVK4oxm+UjQgghhBBCCDE1OWMQZGZm09vbjdfrBsaDChefUPp8Xkwmk9628syZE/T39wBQWlrB4OAAo4WFJJ0/P+k5QuUVszLW1avXUld3Frd7hJSUtMseb7dHMhkuXt4xMDBAIOC/7BV3TdM4evQ1PJ5RfVtzc+MVBxU0TaO9vQWDwUh6euYlMyzmSk9PNzBVp4/InBqNRm688Xb6+nrIzMye5xEKIYQQQgghlhpZ/iD09fMejydm+8UnvocOvcL+/c8RDAbp6+vRAwrJyank5xdRVbWR0Kc+F/c53Hvvn5Wxpqe72LJlB2Vllaxbt/myx9ts9pjgg81mZ9UqBU3TJtUTCIfDjI6OxCwDGR0d1gMKWVk5ALjdo5OWilzO0NAAqlrN2bOnYlppzqfe3kimRUbGpTM0TCYzLleOdGwQQgghhBBCXJZkKogJQQU3AKFQiJGRIf3EubS0gvr6swSDkdT5trZmvSvDxo3bSElJ1U9AA++6iyGjCefjj2KqPUuovAL33vvx7d4za+M1Go0UFBRN61iDwcCmTdvQNI2WlkZcrhyMRiPnzqnU1p7BZDKTk5OPpmm89NLvAMjNXUFBQRGJiUl0dkYCD2vWbCQrKwez+TRtbS309fVc9uR8opaW8/rPyb/+Jcl778VaXxf597nvgVn994knGAwyMNBHUlLygmRJCCGEEEIIIa5NElQQJP/6l+z8+0+S1d7LGRd895YMTLe+lx0pOwBISkqJOb6hQY3cLzmV1NTJSxB8u/fM+UnylTIYDHrRRoCSkhIaGhpoaFDp6+shKSlZ39fe3kJnZyslJQodHa2YTGY9gJCbW0BbWwvt7RemHVTweEbp6Ym0YVSOn2DtE0/o+8w11STfczdDMKf/ZtEgUWpqxuUPFkIIIYQQQohpkuUPy5ztmX2kfPSD5LX2Yg7Duk745o966fzdExwYPIDZbMHhSIh73/T0zHke7ezZvHkzGRku/H4fnZ1t1NefBcBkMgGRpRB1dTX4/T5yKTtS+gAAELxJREFUcvL17UlJKdhsdgYH+2hvv0BLS+OkpRDP1O3j4U9U0l6VTFpOMgNbcnnpZx+jMaGFimd+Fnc8zscf1X+e2PLymbp93PSj7eR+O42bfrSdZ+oiXTQ0TcP91HdJvGEzmblppN20Hdsz+9A0Db/fRzgciimg2dsbqaeQmJh0tf90QgghhBBCCKGTTIVlzvnYI3G3f+YVePt1P+fG9BuxWq04HAmEQkFWrixDVU8DkJa2dIMKAGVllWhaNX19Pfq24uJSXK4cOjpacTicJCUl43Qm6vsNBgN2u4PBwX7Onj0FRAo3bt9+M0ajkWfq9vGHR+/mR0+PP8+6rkig5j2B+zHVxo/jmWrPEgwG6e3t5syZNygoKOY01dzz7N36MTV9kduaFmbX71qo/Psv6/uiGQ9NTQ3UrF8HgMuVQygUxO0exev1YDQal3QgSAghhBBCCLH4SFBhmTPVno27vbIbWn2tJCenYTAY2Lp1JwaDAYPBwOjoMFarLe7Sh6XE4XCyfv0WRkdHOH78IMFgkIwMFw6Hk5Ury6a838UdI/x+Hz09nSQmJvHPBx/i6f3x7/eZV6Au24LS5pu0bzAvj/37n9VvX7hwnkfbvxb3cf7pwFe56z9Ccfet+K8foG58hHA4THd3R8y+zMxsrFbblK9LCCGEEEIIIa6UBBWWuVB5Beaa6knbz7igJKUURVkDRIojRpWVVc7b+OZDQkIi27bdjN/vjclKmEph4Up6ejopKVEIBoM0NTVQXf0GKw4c4Okf1bG2K/79KrvhA+8K8P9+Onlf/bv/dNK2uoHauI/T7Gkm+UL87hPJra3s2PEm6urO0NHRSmpqOgkJiSQlpeBySYtIIYQQQgghxOySoMIy577vAZLvuXvS9od2wgNbP6V3hrjWmc1mzObLBxQAUlLSuOWWtwIQDodoampgxYEDbJ9QgDGeMy5448ZKhm67X++O4VtVQtOfv4/Cj92Lpf0CnZ3tlJQonD17igJbAc2+5kmPk2/Lx7vKirO+ftK+sLIas9lMefkaXK4c0tMzYwJCQgghhBBCCDGbJKiwzPl272EICPzzF0g+d4EaF/znWwu49cNfYXfZ4urgsBgZjSYSE5NZ/fOfX/bYh3bC3k334yuL7Y6RPvb/vLwV5OWtAGDDhq18wH03XznzpUmP87kbv0QwHYgTDHLvvR+IFJzMzMy64tcjhBBCCCGEEFdCggoicoK7ew8DQC7wqYUe0BKzZs0GUlpb4+7TgJPZ8IMrDNRYrVb++ub7yc8v5PFjj1Lbf5bytAr2brqf3WV78JXBEOgZD6HyCtx77190rTyFEEIIIYQQ1zYJKghxlZzOhClrU4Qqq8h78dUZB2p2l+2ZMhDh271HgghCCCGEEEKIBSWLrYWYBe77Hoi/fWw5ghBCCCGEEEJciySoIMQs8O3ew9CTTxGsrEIzmwlWVjH05FOSSSCEEEIIIYS4psnyByFmiSxHEEIIIYQQQiw3kqkghBBCCCGEEEKIGZlWpoKiKH8LvAfwA+9XVbVxbPubgS9MOHQ18DbABPwYODe2/S5VVeOXxxdCCCGEEEIIIcSSdNmggqIoBcCfA9uBm4GvAe8GUFX198Dvx44zA8eAw8AdwPdUVf3cnIxaCCGEEEIIIYQQC246yx/eBDyrqmoQeB64YYrj7gCeV1U1AKQDPbMzRCGEEEIIIYQQQixG01n+kM1YgEBVVU1RlLCiKFZVVf0XHXc38MUJtz+kKMoe4A3gQVVVPVM9QVqaE7PZdIVDX3guV9JCD0FcBZm/pUvmbumSuVvaZP6WLpm7pUvmbmmT+Vu6ZO6mbzpBBQsQmnDbMLZNDyooipID5Kuq+gaAqqpPAU8pimIAHgfuB7461RP097uvfOQLzOVKort7eKGHIWZI5m/pkrlbumTuljaZv6VL5m7pkrlb2mT+li6Zu8kuFWSZTlChE1gFMBYksKiqOnrRMe8H/t/FdxzLbPgN8L7LDNAwjXEsOhK9Wtpk/pYumbulS+ZuaZP5W7pk7pYumbulTeZv6ZK5m77p1FR4GXizoigmIvUVDiuK8hVFUd4+4ZiYoIKiKFkT9u0CTs7GYIUQQgghhBBCCLF4XDZTQVXVWkVRfgi8RmTJw18AnwSSABRF2QE0qqraNeFudyuK8m7ACzQBH5rtgQshhBBCCCGEEGJhGTRNW+gxCCGEEEIIIYQQYgmazvIHIYQQQgghhBBCiEkkqCCEEEIIIYQQQogZkaCCEEIIIYQQQgghZkSCCkIIIYQQQgghhJgRCSpchqIohoUeg5gZRVHk93sJk/fe0iXvvaVLUZTEhR6DmDn53BRiYch7b+mROZtd0v0hDkVRUoA1wGFVVQMLPR4xfYqi2IGPAt9WVdWnKIpBVVX5JV8iFEVJJdKC9nF57y0tiqJkAPcDX1ZV1b/Q4xFXZuy99znAA3xVVVXfAg9JTNPYd5btwAsyb0uLoijJwCrgtKqqwYUej7gyY++9KuCQfGdZWhRFSVFVdXChx3EtkatJF1EU5WPAS8CDwLcWeDjiyr0J+CTwwbHbEoVcIhRF+TjwOyABCMvV7qVDUZRK4GeAA9AURTEt8JDEFVAU5V5gH7ARcI4FZOX9twQoivI+It9Z3g/8k6IojgUekpgmRVH+D3AAuA/4B0VRShZ4SOIKKIqyG3gF+BvgCUVRKhZ4SGKaxoJBNYqi3D92W/7ezQL5R5xAUZRbgOuAt6iq+k7gLkVR1izwsMQ0TDiJaQH+F9ijKEqZqqphRVHMCzg0MQ1j77M3Aw+rqvplVVVDqqqGF3pcYtoKgQZVVe9XVTWgqmpooQckpkdRlA8Du4D3qqp6G7BdUZQCef8tfoqiWIhkVX5IVdU/JzKP5WP75PvdIjZh7t6uquoHgPPA+xRFWTG2Xy6ILH4FwOdVVX0P0EFk/qLvP5m/xa0cOAf8haIojrFzBZmzq7Ts/+goilI8FkxAVdUXgE+rqtqpKMoG4DUgY0EHKKY0Nnc3A0w4ibmJSOT/p0Si/0hK4eJ00XuvGqgGRhVF2agoypcVRXm/oihpCztKEc/E996YVcApRVFyFEX5rqIoD8hVt8Xrovn7nqqq7x77u2cAnifyZVksQhf93QsAW4AdiqJUAa8D2WP7JCi0yMSZu9uB6OfkCeAG4Nax/bJsc5FRIj4x4W/bOsA29vM+IADsBpm/xSbO3CUC7wP2A4+MbZOgwlVa9kEF4DvABxVFWTt2u0dRlFzg34j8gf64oih/rShK/oKNUEzlO8CHxr5MRZ0HwqqqfpvI58jPFEW5c0FGJy4n+t5bP3b7t8CngceIRP33AA9GI/9iUYm+96JzdwH4CJEU7JeB9LH9mxdofOLS9M9OVVWDiqIYxwIKZmB19CC52r0oReduw9jtLxI5mfkdUAR8QlGUv5nwnUYsHtG52zh2++vAPyuKUkzkgkg7kD+Wmi0WCUVRDIqi7AW+SySA/jlFUf4Y+DHwd6BfGHkDyJL33uIRZ+4+qyjK+1RVfUFV1fNE6gi9RVGU1ZKtcPWW5ReG6C/N2BfiVOAM8BaIRBdVVW0Hdqiq+kXgq8AfA64FGq6YYIq5+6MJh6wEvGPrTDcDG4h82ZJ0tEVgivl781hBzf1E3m93jAWFHgRWAMkLNV4x7jJz9wugH9imqup/Efny7AEkGLtIXOqzc+yqtmns6ulh4E8nbBcLbIq5ux1AVdUDwH8CLwJfAu4FMon87RMLbIq5u23sc/OHwPeBvyVSS+g7RN6TQwszWnExRVGMY1kHg8DHVVX9GPAscJOqqs8Bg4qifGrs8NNEMoVkye0iMMXcPQesVRTFNrZ/kMj77hGQDJOrtayCCoqi3KYoyneBTyuKYiWSbv0x4FUgU1GUN40dZ4hWUFZV9RQQAiQNewFNY+5uHzu0G/gJcA+RYNBB4AMgHxYL6TLzlwHcBqCq6vOqqo6M/VwL/P/27u5VqioO4/jXE2JgGkqWRXWhyK+IMAMrFcUggigry4u6jKRuBKHSyBBCuugFhKKLoldIokjNoOg/qE5HUyOxx14uMoKgC0PpRaTTxVpjU5nOmX3YyzXzfK7OkZnhNz5n7T3z22utPRU3FYrqIbub80PXAwsjYrqkw6TZCtNO9ZrWnl7Pe0CngbAf+Klr9oIVcqax15XdbOBaSWOSDpLGnXeiL6iH42anKfQcsEHSZkmfkpqzcwuVbVlXfhsj3Wb3HVJDCGAcmJF/fhhYFxGXSfqWNIX+gtYLtpO6stvwP9lNy9/xRgAkPQvMiYg1+fk+7/VpaJoKeUnDE8Au0gYdm0kn4b2k7uJhYHlEzOx8+YyIayLiJdIXGxUp3HrNbllETAf2AislLZf0CfACfx9MrIAJ5DczP34kIhZGxMukE/fXRQq3XrNbEhGzJY0BbwFbImJ7fvxXRQo3YMLnvU5TYSZwm6Q/3YgtZwLZzZL0PXAoIrZFxJvA1fgzSzE9Zre0c86TdDwiLoqI94Gf82xZK+Rf+QWwAbiq63j4DakhO03SKGmm0KaI+JB0/DzUftUG/8nuCk6d3SURcU5e+jc1//szwH3gC5BNTBkfH9z/u0h3BFhPulo9C1gk6cm8fm01qbv/tKRjEXE9sArYJ2l7RFxK6m7tkLS1zDsYXn1kdzuwR9LO7tfwLvRl9Dn29kt6N1/VeRXYna/iWIv6zO5LSW9HutPKecCKvCTCWtZk7HW9xlpJr7Rf/XBrOPbOBZYBl0t6vcw7GF4Nz3kjwF3AnLz0z1o2wfweAS6UtLHr+ecDN0ra1X71w63f7PwdYfIN7EyFiFhCWve0GLgFWEe6ReSMvDnHbtIatlvzU/aRrqqtiIj5kn4AbnJDoX19ZncQWBkR8zqv44NFGQ3G3vJItwE9DtzvhkL7GmS3NCLmSToh6YgbCmU0HHvdx043FFrWcOzNl/R7Xj7mhkLLGo67+XmW0E43FMqYQH6r8lP+AD6IiDURsScibpD0ixsK7WuSHTAaEde1X/XgGtimAmndzGuS7gV2kG4zeIQ0HR7SutHvSNNgOutr9gKfkzfJkfRb61UbNMvuaIF67Z+a5HcE0nTQ1qs28NirnfOrV+PPLFbMZHze9Kao5fSa38X591Wkmcx3AA/kvTCsjCbZPSjps3bLHWyDvEPpHuCL/PMxYAFwDzAWEYsljUXEj8CdXZsyHiBtpmNlObu6Ob96Obu6Ob96Obt6Obu69Zrf6rwGfxR4sXu5rRXj7M4iA72nQreI+Ai4G1hL6lA9Bqwk3f7lUUknylVnp+Ps6ub86uXs6ub86uXs6uXs6naa/OZKeqhgaXYGzq6sQZ6pcFJELCBtzPEr8HxEHCf9sc0D1vsAf/ZydnVzfvVydnVzfvVydvVydnU7U35Fi7PTcnblDUVTgfQ+34uIK4GngI8lPV64JuuNs6ub86uXs6ub86uXs6uXs6ub86uXsytsWJoKi4AtpCkwb0jaVrYcmwBnVzfnVy9nVzfnVy9nVy9nVzfnVy9nV9iwNBWOApuArd5VvjrOrm7Or17Orm7Or17Orl7Orm7Or17OrrCh2KgxIqZIGvw3OoCcXd2cX72cXd2cX72cXb2cXd2cX72cXXlD0VQwMzMzMzMzs8k3UroAMzMzMzMzM6uTmwpmZmZmZmZm1hc3FczMzMzMzMysL24qmJmZmZmZmVlf3FQwMzMzMzMzs764qWBmZmZmZmZmfXFTwczMzMzMzMz68he7H1uKYLMADAAAAABJRU5ErkJggg==\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# 使用最优参数构建开平仓 使用最优估计\n",
"flag = grid_search.best_estimator_.predict(factor_df)\n",
"next_ret = returns.shift(-1)\n",
"# 计算收益率\n",
"algorithm_ret = flag * next_ret\n",
"\n",
"trade_info = tradeAnalyze(flag,next_ret) # 初始化交易信息\n",
"\n",
"mpl.rcParams['font.family'] = 'serif'\n",
"\n",
"# 画图\n",
"(1 + ep.cum_returns(algorithm_ret)).plot(\n",
" figsize=(18, 5), label='异常交易因子择时',title='异常交易因子择时',color='r')\n",
" \n",
"(benchmark['close'] / benchmark['close'][0]).plot(label='HS300',color='darkgray')\n",
"plot_trade_pos(trade_info,benchmark['close'] / benchmark['close'][0])\n",
"\n",
"plt.legend()"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" \n",
" \n",
" | \n",
" ret | \n",
"
\n",
" \n",
" 年化收益率 | \n",
" 11.23% | \n",
"
\n",
" 波动率 | \n",
" 14.68% | \n",
"
\n",
" 夏普 | \n",
" 80.54% | \n",
"
\n",
" 最大回撤 | \n",
" -23.19% | \n",
"
\n",
"
"
],
"text/plain": [
""
]
},
"execution_count": 33,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 风险指标\n",
"Strategy_performance(algorithm_ret,'daily').style.format('{:.2%}')"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
" 交易次数 | 23 |
\n",
" 持仓总天数 | 1078 |
\n",
" 胜率 | 56.52% |
\n",
" 日胜率 | 29.05% |
\n",
" \n",
" 交易明细 | \n",
" Buy | \n",
" Sell | \n",
" Hold_days | \n",
" Hold_returns | \n",
"
\n",
" \n",
" \n",
" \n",
" 0 | \n",
" 2013-06-24 | \n",
" 2013-06-26 | \n",
" 3 | \n",
" -0.48% | \n",
"
\n",
" \n",
" 1 | \n",
" 2013-08-29 | \n",
" 2013-12-09 | \n",
" 66 | \n",
" 6.09% | \n",
"
\n",
" \n",
" 2 | \n",
" 2014-03-20 | \n",
" 2014-03-27 | \n",
" 6 | \n",
" 3.13% | \n",
"
\n",
" \n",
" 3 | \n",
" 2014-03-28 | \n",
" 2014-03-31 | \n",
" 2 | \n",
" 0.52% | \n",
"
\n",
" \n",
" 4 | \n",
" 2014-04-21 | \n",
" 2014-05-27 | \n",
" 25 | \n",
" -0.74% | \n",
"
\n",
" \n",
" 5 | \n",
" 2014-06-18 | \n",
" 2014-11-05 | \n",
" 95 | \n",
" 15.22% | \n",
"
\n",
" \n",
" 6 | \n",
" 2014-11-27 | \n",
" 2014-12-19 | \n",
" 17 | \n",
" 21.41% | \n",
"
\n",
" \n",
" 7 | \n",
" 2015-03-13 | \n",
" 2015-05-27 | \n",
" 52 | \n",
" 29.99% | \n",
"
\n",
" \n",
" 8 | \n",
" 2015-11-10 | \n",
" 2016-01-20 | \n",
" 51 | \n",
" -20.52% | \n",
"
\n",
" \n",
" 9 | \n",
" 2016-04-13 | \n",
" 2017-01-03 | \n",
" 179 | \n",
" 3.85% | \n",
"
\n",
" \n",
" 10 | \n",
" 2017-01-13 | \n",
" 2017-06-14 | \n",
" 99 | \n",
" 6.25% | \n",
"
\n",
" \n",
" 11 | \n",
" 2017-07-14 | \n",
" 2017-07-17 | \n",
" 2 | \n",
" -0.97% | \n",
"
\n",
" \n",
" 12 | \n",
" 2017-08-21 | \n",
" 2017-11-27 | \n",
" 66 | \n",
" 8.22% | \n",
"
\n",
" \n",
" 13 | \n",
" 2018-01-25 | \n",
" 2018-02-05 | \n",
" 8 | \n",
" -5.01% | \n",
"
\n",
" \n",
" 14 | \n",
" 2018-05-18 | \n",
" 2018-06-22 | \n",
" 25 | \n",
" -9.01% | \n",
"
\n",
" \n",
" 15 | \n",
" 2018-09-25 | \n",
" 2018-10-11 | \n",
" 8 | \n",
" -6.15% | \n",
"
\n",
" \n",
" 16 | \n",
" 2018-12-10 | \n",
" 2018-12-17 | \n",
" 6 | \n",
" -0.49% | \n",
"
\n",
" \n",
" 17 | \n",
" 2018-12-19 | \n",
" 2019-03-19 | \n",
" 58 | \n",
" 22.22% | \n",
"
\n",
" \n",
" 18 | \n",
" 2019-04-24 | \n",
" 2019-05-15 | \n",
" 13 | \n",
" -7.01% | \n",
"
\n",
" \n",
" 19 | \n",
" 2019-06-28 | \n",
" 2020-02-04 | \n",
" 145 | \n",
" 1.01% | \n",
"
\n",
" \n",
" 20 | \n",
" 2020-05-08 | \n",
" 2020-07-28 | \n",
" 56 | \n",
" 17.32% | \n",
"
\n",
" \n",
" 21 | \n",
" 2020-08-25 | \n",
" 2020-10-23 | \n",
" 38 | \n",
" -1.24% | \n",
"
\n",
" \n",
" 22 | \n",
" 2020-11-10 | \n",
" 2021-03-10 | \n",
" 81 | \n",
" 4.22% | \n",
"
\n",
" \n",
"
"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# 展示交易明细\n",
"trade_info.show_all()"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
" \n",
" Worst drawdown periods | \n",
" Net drawdown in % | \n",
" Peak date | \n",
" Valley date | \n",
" Recovery date | \n",
" Duration | \n",
"
\n",
" \n",
" \n",
" \n",
" 0 | \n",
" 23.19 | \n",
" 2015-12-21 | \n",
" 2016-05-24 | \n",
" 2019-03-05 | \n",
" 837 | \n",
"
\n",
" \n",
" 1 | \n",
" 14.41 | \n",
" 2021-02-09 | \n",
" 2021-03-08 | \n",
" NaT | \n",
" NaN | \n",
"
\n",
" \n",
" 2 | \n",
" 13.12 | \n",
" 2020-01-10 | \n",
" 2020-05-21 | \n",
" 2020-07-02 | \n",
" 125 | \n",
"
\n",
" \n",
" 3 | \n",
" 12.86 | \n",
" 2019-03-15 | \n",
" 2019-08-06 | \n",
" 2020-01-06 | \n",
" 212 | \n",
"
\n",
" \n",
" 4 | \n",
" 9.80 | \n",
" 2020-07-10 | \n",
" 2020-09-23 | \n",
" 2021-01-04 | \n",
" 127 | \n",
"
\n",
" \n",
"
"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"[]"
]
},
"execution_count": 35,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"show_worst_drawdown_periods(algorithm_ret.dropna())\n",
"fig,ax = plt.subplots(figsize=(18,4))\n",
"plot_drawdown_periods(algorithm_ret.dropna(),5,ax)\n",
"ax.plot(benchmark['close'] / benchmark['close'][0],color='darkgray')"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# 查看信号\n",
"S = grid_search.best_params_['creatSignal__shortperiod']\n",
"L = grid_search.best_params_['creatSignal__longperiod']\n",
"\n",
"log_bottom_30 = np.log(bottom_ser.rolling(S).mean())\n",
"log_top_30 = np.log(top_ser.rolling(S).mean())\n",
"\n",
"log_bottom_60 = np.log(bottom_ser.rolling(L).mean())\n",
"log_top_60 = np.log(top_ser.rolling(L).mean())\n",
"\n",
"# 差值\n",
"diff_signal_30 = log_bottom_30 - log_top_30 \n",
"diff_signal_60 = log_bottom_60 - log_top_60\n",
"\n",
"fig,ax = plt.subplots(figsize=(18,4))\n",
"ax.set_title('最优参数下的信号')\n",
"ax.plot(benchmark['close'],label='HS300',color='darkgray')\n",
"plot_trade_pos(trade_info,benchmark['close'],ax=ax)\n",
"\n",
"ax1 = ax.twinx()\n",
"ax1.plot(diff_signal_30,label='S_' + str(S),color='r')\n",
"ax1.plot(diff_signal_60,label='L_' + str(L))\n",
"\n",
"h1,l1 = ax.get_legend_handles_labels()\n",
"h2,l2 = ax1.get_legend_handles_labels()\n",
"ax.legend(h1+h2,l1+l2)\n",
"plt.grid(False)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 构思三:\n",
"\n",
"以头部/底部因子组合因子值为信号"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"# 信号获取\n",
"top_factor_val = factor_df[rank_df=='G5'].mean(axis=1)\n",
"bottom_factor_val = factor_df[rank_df=='G1'].mean(axis=1)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"查看信号与指数的关系"
]
},
{
"cell_type": "code",
"execution_count": 105,
"metadata": {
"code_folding": []
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# 时间设置\n",
"startDt = top_factor_val.index.min().strftime('%Y-%m-%d')\n",
"endDt = top_factor_val.index.max().strftime('%Y-%m-%d')\n",
"\n",
"# 基准\n",
"benchmark = get_price('000300.XSHG',startDt,endDt,fields='close',panel=False)\n",
"\n",
"fig,axes = plt.subplots(2,figsize=(18,4 * 2))\n",
"\n",
"axes[0].set_title('顶部组合')\n",
"top_factor_val.plot(ax=axes[0])\n",
"ax1 = axes[0].twinx()\n",
"benchmark.plot(ax=ax1,color='r')\n",
"plt.grid(False)\n",
"\n",
"axes[1].set_title('底部组合')\n",
"bottom_factor_val.plot(ax=axes[1])\n",
"ax1 = axes[1].twinx()\n",
"benchmark.plot(ax=ax1,color='r')\n",
"plt.grid(False)"
]
},
{
"cell_type": "code",
"execution_count": 267,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"show_corrocef(benchmark['close'],signal_df['signal'],'信号与未来收益的相关性')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**构造信号**:计算N日标准分,以标准分为信号进行择时"
]
},
{
"cell_type": "code",
"execution_count": 139,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"count 1874.000000\n",
"mean -0.011293\n",
"std 1.096084\n",
"min -5.951681\n",
"25% -0.592134\n",
"50% 0.175104\n",
"75% 0.725229\n",
"max 3.561617\n",
"dtype: float64"
]
},
"execution_count": 139,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 标准分 \n",
"N = 120\n",
"signal = (top_factor_val - top_factor_val.rolling(N).mean()) / top_factor_val.rolling(N).std()\n",
"signal.describe()"
]
},
{
"cell_type": "code",
"execution_count": 199,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 199,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"line = signal.plot(secondary_y=True,\n",
" figsize=(18,4),color='r',\n",
" title='信号于指数的关系',\n",
" alpha=0.7,\n",
" label='标准分信号')\n",
"benchmark['close'].plot(ax=line,color='darkgray',label='HS300')\n",
"plt.legend()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**回测构建**\n",
"\n",
"信号大于h值开仓,小于l值平仓"
]
},
{
"cell_type": "code",
"execution_count": 157,
"metadata": {
"code_folding": []
},
"outputs": [],
"source": [
"# 标记持仓\n",
"def get_pos(signal:pd.Series,h:float,l:float)->pd.Series:\n",
" \n",
" '''\n",
" 高于h时开仓,低于l时平仓,1为持仓,0为空仓\n",
" -------\n",
" signal:信号 index-date,value-信号\n",
" h,l:高低阈值\n",
" '''\n",
" \n",
" per_signal = signal.shift(1)\n",
" per_pos = 0\n",
" pos = pd.Series(np.ones(len(signal)),index=signal.index)\n",
" \n",
" for trade,v in signal.items():\n",
" \n",
" per = per_signal[trade]\n",
" \n",
" if per:\n",
" \n",
" if v > h and per <= h:\n",
" \n",
" pos[trade] = 1\n",
" per_pos = 1\n",
" \n",
" elif v < l and per >= l:\n",
" \n",
" pos[trade] = 0\n",
" per_pos = 0\n",
" \n",
" else:\n",
" \n",
" pos[trade] = per_pos\n",
" \n",
" else:\n",
" \n",
" if v > h:\n",
" pos[trade] = 1\n",
" per_pos = 1\n",
" \n",
" elif v < l:\n",
" \n",
" pos[trade] = 0\n",
" per_pos = 0\n",
" \n",
" else:\n",
" \n",
" pos[trade] = 0\n",
" \n",
" return pos\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 219,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 219,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# 开仓阈值-1,2\n",
"pos = get_pos(signal,-1, 2)\n",
"next_ret = benchmark['close'].pct_change().shift(-1)\n",
"\n",
"trade_info = tradeAnalyze(flag,next_ret) # 初始化交易信息\n",
"\n",
"algorithm_ret = pos * next_ret\n",
"(1 + ep.cum_returns(algorithm_ret)).plot(figsize=(18,4),color='r',title='回测',label='净值')\n",
"(benchmark['close'] / benchmark['close'][0]).plot(color='darkgray',label='HS300')\n",
"plot_trade_pos(trade_info,benchmark['close'] / benchmark['close'][0])\n",
"plt.legend()"
]
},
{
"cell_type": "code",
"execution_count": 211,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" \n",
" \n",
" | \n",
" ret | \n",
"
\n",
" \n",
" 年化收益率 | \n",
" 13.15% | \n",
"
\n",
" 波动率 | \n",
" 13.94% | \n",
"
\n",
" 夏普 | \n",
" 95.63% | \n",
"
\n",
" 最大回撤 | \n",
" -23.85% | \n",
"
\n",
"
"
],
"text/plain": [
""
]
},
"execution_count": 211,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 风险指标\n",
"Strategy_performance(algorithm_ret,'daily').style.format('{:.2%}')"
]
},
{
"cell_type": "code",
"execution_count": 213,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
" \n",
" Worst drawdown periods | \n",
" Net drawdown in % | \n",
" Peak date | \n",
" Valley date | \n",
" Recovery date | \n",
" Duration | \n",
"
\n",
" \n",
" \n",
" \n",
" 0 | \n",
" 31.58 | \n",
" 2015-06-05 | \n",
" 2015-07-07 | \n",
" 2017-10-10 | \n",
" 613 | \n",
"
\n",
" \n",
" 1 | \n",
" 28.54 | \n",
" 2018-01-23 | \n",
" 2019-01-02 | \n",
" 2019-12-31 | \n",
" 506 | \n",
"
\n",
" \n",
" 2 | \n",
" 16.77 | \n",
" 2013-09-11 | \n",
" 2014-03-19 | \n",
" 2014-10-30 | \n",
" 297 | \n",
"
\n",
" \n",
" 3 | \n",
" 16.08 | \n",
" 2020-03-04 | \n",
" 2020-03-20 | \n",
" 2020-06-30 | \n",
" 85 | \n",
"
\n",
" \n",
" 4 | \n",
" 9.09 | \n",
" 2015-01-06 | \n",
" 2015-02-05 | \n",
" 2015-03-13 | \n",
" 49 | \n",
"
\n",
" \n",
"
"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"[]"
]
},
"execution_count": 213,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"show_worst_drawdown_periods(algorithm_ret.dropna())\n",
"fig,ax = plt.subplots(figsize=(18,4))\n",
"plot_drawdown_periods(algorithm_ret.dropna(),5,ax)\n",
"ax.plot(benchmark['close'] / benchmark['close'][0],color='darkgray')"
]
},
{
"cell_type": "code",
"execution_count": 217,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
" 交易次数 | 45 |
\n",
" 持仓总天数 | 1047 |
\n",
" 胜率 | 57.78% |
\n",
" 日胜率 | 28.00% |
\n",
" \n",
" 交易明细 | \n",
" Buy | \n",
" Sell | \n",
" Hold_days | \n",
" Hold_returns | \n",
"
\n",
" \n",
" \n",
" \n",
" 0 | \n",
" 2013-04-01 | \n",
" 2013-04-26 | \n",
" 18 | \n",
" -1.63% | \n",
"
\n",
" \n",
" 1 | \n",
" 2013-05-28 | \n",
" 2013-06-17 | \n",
" 12 | \n",
" -8.81% | \n",
"
\n",
" \n",
" 2 | \n",
" 2013-06-20 | \n",
" 2013-06-21 | \n",
" 2 | \n",
" -6.48% | \n",
"
\n",
" \n",
" 3 | \n",
" 2013-08-13 | \n",
" 2013-10-25 | \n",
" 47 | \n",
" 0.59% | \n",
"
\n",
" \n",
" 4 | \n",
" 2013-10-29 | \n",
" 2013-11-15 | \n",
" 14 | \n",
" 2.52% | \n",
"
\n",
" \n",
" 5 | \n",
" 2014-01-03 | \n",
" 2014-01-22 | \n",
" 14 | \n",
" -2.51% | \n",
"
\n",
" \n",
" 6 | \n",
" 2014-02-20 | \n",
" 2014-02-26 | \n",
" 5 | \n",
" -5.94% | \n",
"
\n",
" \n",
" 7 | \n",
" 2014-03-03 | \n",
" 2014-03-24 | \n",
" 16 | \n",
" -0.57% | \n",
"
\n",
" \n",
" 8 | \n",
" 2014-04-11 | \n",
" 2014-04-17 | \n",
" 5 | \n",
" -2.04% | \n",
"
\n",
" \n",
" 9 | \n",
" 2014-04-21 | \n",
" 2014-05-15 | \n",
" 17 | \n",
" -1.85% | \n",
"
\n",
" \n",
" 10 | \n",
" 2014-06-12 | \n",
" 2014-08-11 | \n",
" 43 | \n",
" 9.22% | \n",
"
\n",
" \n",
" 11 | \n",
" 2014-09-01 | \n",
" 2014-09-09 | \n",
" 6 | \n",
" 3.24% | \n",
"
\n",
" \n",
" 12 | \n",
" 2014-09-11 | \n",
" 2014-09-17 | \n",
" 5 | \n",
" -0.59% | \n",
"
\n",
" \n",
" 13 | \n",
" 2014-10-08 | \n",
" 2014-10-16 | \n",
" 7 | \n",
" -1.48% | \n",
"
\n",
" \n",
" 14 | \n",
" 2014-10-23 | \n",
" 2014-11-04 | \n",
" 9 | \n",
" 4.44% | \n",
"
\n",
" \n",
" 15 | \n",
" 2014-11-20 | \n",
" 2014-12-10 | \n",
" 15 | \n",
" 23.22% | \n",
"
\n",
" \n",
" 16 | \n",
" 2015-01-13 | \n",
" 2015-01-20 | \n",
" 6 | \n",
" 1.45% | \n",
"
\n",
" \n",
" 17 | \n",
" 2015-02-26 | \n",
" 2015-05-05 | \n",
" 47 | \n",
" 25.02% | \n",
"
\n",
" \n",
" 18 | \n",
" 2015-10-22 | \n",
" 2015-12-23 | \n",
" 45 | \n",
" 8.90% | \n",
"
\n",
" \n",
" 19 | \n",
" 2015-12-28 | \n",
" 2016-01-06 | \n",
" 7 | \n",
" -11.82% | \n",
"
\n",
" \n",
" 20 | \n",
" 2016-02-29 | \n",
" 2016-03-04 | \n",
" 5 | \n",
" 7.71% | \n",
"
\n",
" \n",
" 21 | \n",
" 2016-03-10 | \n",
" 2016-03-17 | \n",
" 6 | \n",
" 5.17% | \n",
"
\n",
" \n",
" 22 | \n",
" 2016-03-29 | \n",
" 2016-06-14 | \n",
" 52 | \n",
" -0.30% | \n",
"
\n",
" \n",
" 23 | \n",
" 2016-07-12 | \n",
" 2016-08-22 | \n",
" 30 | \n",
" 2.18% | \n",
"
\n",
" \n",
" 24 | \n",
" 2016-08-24 | \n",
" 2016-09-29 | \n",
" 25 | \n",
" -2.27% | \n",
"
\n",
" \n",
" 25 | \n",
" 2016-10-28 | \n",
" 2016-12-15 | \n",
" 35 | \n",
" 0.28% | \n",
"
\n",
" \n",
" 26 | \n",
" 2017-01-12 | \n",
" 2017-03-17 | \n",
" 42 | \n",
" 3.95% | \n",
"
\n",
" \n",
" 27 | \n",
" 2017-03-21 | \n",
" 2017-04-05 | \n",
" 10 | \n",
" 1.39% | \n",
"
\n",
" \n",
" 28 | \n",
" 2017-04-11 | \n",
" 2017-05-25 | \n",
" 32 | \n",
" -1.00% | \n",
"
\n",
" \n",
" 29 | \n",
" 2017-07-07 | \n",
" 2017-07-18 | \n",
" 8 | \n",
" 2.02% | \n",
"
\n",
" \n",
" 30 | \n",
" 2017-08-09 | \n",
" 2017-10-20 | \n",
" 48 | \n",
" 5.29% | \n",
"
\n",
" \n",
" 31 | \n",
" 2018-01-04 | \n",
" 2018-02-05 | \n",
" 23 | \n",
" 0.58% | \n",
"
\n",
" \n",
" 32 | \n",
" 2018-03-21 | \n",
" 2018-03-29 | \n",
" 7 | \n",
" -4.01% | \n",
"
\n",
" \n",
" 33 | \n",
" 2018-05-03 | \n",
" 2018-06-15 | \n",
" 32 | \n",
" -4.43% | \n",
"
\n",
" \n",
" 34 | \n",
" 2018-09-05 | \n",
" 2018-10-11 | \n",
" 21 | \n",
" -3.59% | \n",
"
\n",
" \n",
" 35 | \n",
" 2018-11-19 | \n",
" 2019-02-20 | \n",
" 61 | \n",
" 4.83% | \n",
"
\n",
" \n",
" 36 | \n",
" 2019-04-12 | \n",
" 2019-05-09 | \n",
" 17 | \n",
" -6.31% | \n",
"
\n",
" \n",
" 37 | \n",
" 2019-06-14 | \n",
" 2019-08-22 | \n",
" 50 | \n",
" 4.72% | \n",
"
\n",
" \n",
" 38 | \n",
" 2019-09-03 | \n",
" 2019-10-18 | \n",
" 28 | \n",
" 0.79% | \n",
"
\n",
" \n",
" 39 | \n",
" 2019-10-24 | \n",
" 2019-11-28 | \n",
" 26 | \n",
" -1.02% | \n",
"
\n",
" \n",
" 40 | \n",
" 2019-12-11 | \n",
" 2019-12-18 | \n",
" 6 | \n",
" 3.17% | \n",
"
\n",
" \n",
" 41 | \n",
" 2019-12-25 | \n",
" 2020-01-13 | \n",
" 13 | \n",
" 4.91% | \n",
"
\n",
" \n",
" 42 | \n",
" 2020-04-01 | \n",
" 2020-07-07 | \n",
" 64 | \n",
" 26.64% | \n",
"
\n",
" \n",
" 43 | \n",
" 2020-08-14 | \n",
" 2020-10-12 | \n",
" 36 | \n",
" 3.11% | \n",
"
\n",
" \n",
" 44 | \n",
" 2020-11-04 | \n",
" 2021-02-24 | \n",
" 75 | \n",
" 13.33% | \n",
"
\n",
" \n",
"
"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"trade_info.show_all()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 构思四:\n",
"\n",
"思路来源[基于相对强弱下单向波动差值应用](https://www.joinquant.com/view/community/detail/ddf35e24e9dbad456d3e6beaf0841262)"
]
},
{
"cell_type": "code",
"execution_count": 221,
"metadata": {},
"outputs": [],
"source": [
"# 信号获取\n",
"top_factor_val = factor_df[rank_df=='G5'].mean(axis=1)\n",
"bottom_factor_val = factor_df[rank_df=='G1'].mean(axis=1)\n",
"\n",
"# 时间设置\n",
"startDt = top_factor_val.index.min().strftime('%Y-%m-%d')\n",
"endDt = top_factor_val.index.max().strftime('%Y-%m-%d')\n",
"\n",
"# 基准\n",
"benchmark = get_price('000300.XSHG',startDt,endDt,fields='close',panel=False)"
]
},
{
"cell_type": "code",
"execution_count": 307,
"metadata": {},
"outputs": [],
"source": [
"benchmark_ret = benchmark['close'].pct_change()\n",
"\n",
"# 与上行收益相关的信号 矢量化处理 不用在这一步纠结未来函数的委托\n",
"tmp_signal = np.where(benchmark_ret > 0,1,0) * top_factor_val\n",
"\n",
"N = 120 # 窗口为N\n",
"top_signal = tmp_signal.rolling(N).std()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"基本上在信号处于下降趋势时指数上涨,信号上升时指数下跌,是一个负相关。不过阴影部分貌似信号失效了。"
]
},
{
"cell_type": "code",
"execution_count": 313,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 313,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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sLZEkKV2SpPCn6RLgqCRJWaH7NMBFwFFgG3BlaNlGYF9om+3AplBw42rgw+F9CYIgCIIgDCeHS7n6FJ6+dLQsnplJIBjkB0/uwdbtZd60NJLMsa9UaTVqvnzDPL7/qWVn/TzJZj1XLC/kpkuVnhttXa4htjg/T75Wyt/fPcVvnj/KYy8c5bktp6lssPHnN0/2m8EFIBAM8trOKsrrROmLIAjCWHP7PDGXGzT6SOkIwPTkIoqSCqLWcfp7fl/2Nx1iS832kdnJC1A8PTIWA/slSdoBfA/4BvB7SZL2ALuAt2VZ3iPL8ing2dCyH4fWA7gf+DqwG3hfluX9w/sSBEEQBEEYTuET+5HqkTGQNfNyMBm0WB3KoHFq9uBXfFbOyab4PBqShrMh2qwjF8jodnnZHer7AXDodM+Vu8oGKz94cje7SxujAhrbjtTz0rYKfvHsoWHbD7dX1GcLgiCci/CsJIk6C/Mz5nLDjKtJNaSwvuBitOqe7JEUQ1K/bWenzoy6bffGlz0oDC2eHhlbgCV9Ft88wLqPAI/0WVYHbDjXHRQEQRAEYfSUVrXzzHungdEPZKQnG3n0GxdT1+JArVKRl2EeeqPzEH78ygbriD3HB4fqIn+bjVocLh+piQZ+9NkVbN5dzZYDtTzxailQyndvX4zJqOOpt2RAycw4V063j8NlrXh9AU5Ud7CntIkvXT+X6y4d+3Tg0RAIBlHH0TNFEARhKN1eJwBS2kxmpSqZfJumKRNxalQ9gYxEff/vV4vehFFrxOUb2cy/C9HZ9sgQBEEQBGESO1qu9KaYmp3I7Kkj1zdiIBq1milDZGIMl8yUBFITDVQ3jUztenl9Fy98WIFKBffdthh7t5c/vFrCxmUFJJv13L5xJhuXFfCTv+zD4fJRVm8lpddsLKmJhnN63g6bm//8017szugGddsO13PdpTMH2Gry2H+ymT+8WsKK2Vl8ZtPs/o1iBUEQzoLNrWRRWEK9LXrrXVqSbcqMub0IYowMEcgQBEEYZf6An6dPPM+y7IUsyJg71rsjCFEa2pTGmt/95BKM+sk/TEhPMlJRbyUQCJ7TzCXBYJAXt1XgdPu4fePMqCllj5QpQaHLlxUyrygNgIUz0kkw9LyvmSkJPPCpZfzHH/fQ1uVCq+nZB6tj4E75vQWCQdwef+Rx61rs2J1els7KZEqWhZd3VAJM+hP6DpubJ18r4WSN0qx2d2kTuekmrls7bYz3TBCEiczuUX4XTdoYgQxVz/d57zITYeRN/hGKIAjCOFNprWFf00H2NR1kQ+HF3Dzz+rHeJeECEgwGCQbhSFkrLZ1OrlhRiEql4v/eKGXnsUbCxQwJhgtjQJaWZKCsLkiHzU16snHoDfqobrLxxq5qALocHjYsycfu9NLS6eT1nVUAXLGip/lb7yBGWEaS8rxtVleknMRk0NLt9uHy+IYMKL2z9wz//KCMH961nOl5STg9Sj+MOVNTWT0vOxLIOPdClfHt3X1naO1ysaukMZKFctnSfN4/WMdL2yu5cuWUSR/EEQRh5ISbfRo0/bPkilOnUWWrYUV2304MsRk1Z/87I8QmAhmCIAijrN3VEfn7gzM7+ETxtahV8fReFoTz999PH0CjVnGqVpkRw2jQsnZBDvtONKNSqQiGTqRVF0h/gak5iew90czJmg7WLsg96+3DGSwAB+QWDsgt/dZJSxx84GrQa7Ak6KhqsFJS6QNgSraFkzWdWB2eIQMZb+yqAuDDw3VKIMOtPIZRr8HYK3DimYQNP1u7nDy75XTUsge/uIrcdDNHylpps7qpbbEzI+/cm8IKgnBh84Safeo1/b+Lk/QWPlF8zaDbX5K/hnZXOyVtJyNTrwrnT4ycBUEQRllTd/SJToerc4z2RLjQ7C5tpLzeGgliALz6USUtnS48vgDF+f07rk92i4szADgcmk1ErumIOSVqLDVNNt7eUwNAfp/GpGZjz4A3npKV9GQjDpcSgFg4I51pucqxiKe8JCs1AYDmDqUhXTiQYTJooxpe1rY4IoGqicDnDwzY8LSu1cETr5Xwh1dKopabjVpy0pQThXBJSW2zmCVAEIRz5/F7Uas0aM6xdKQwMZdFmfPQqXX4g5MvoDxWREaGIAjCKGtyNAOwMGMeR1tLaHA0kZ6QNsZ7JVwIlNkxorVb3Xz/id0AFGRZooIcF4LcdDPZqQkcr2zneEUbv/rnEeZNS+Pqi6Yye0pKzMyUp9+W2XuiKRJ4WCZlcu8N83lhWzmbdyuBjVs3FPPnzSfjnvkl1WKgGqXp6OLiDFyh8hBbt2fIbVMsBsBGc2d0ICOcjZGfYaau1YHd6aWm0YZJO7bZNsFgkGMVbRRkWkhLip2t4nB5+eZvdxAMwpUrCrl5w4xIUCYQCPLEqyWcCQUodFo137l9MbXNdpbNzoocs8IsZXrd6iYRyBAE4dy5/R70mvOfxUun1uLyucWsSsNEBDIEQRBGWVN3CwaNnpU5SyOBjPkZc8Z6t4QLQHF+MmV1XVy7ZirZqSZe21kVuYoPoFap+OrH5w94cjlZLSrO4J19Z/jtC0cBKKlsp6SynS/fMI+Vc7L7rX9Abo4EMZLMer5y43xUKhXzitLYvLuGjGQj86al8ZMvrCTJpO+3fSzJvWYrsSToIk1D+848Eks4g6TD5uaHf9zDnCmpQE+fk5/evYrtR+r58+aTHC1r5aLZsTvrjxa5ppPfPH+UKVkWfvz5lTHXqWtx4A8o2Rhv7a1h7cJctuw/w+m6LrrsHuxOL/mZZu67dTFJZh0atZqZBdGz7ORnmLEk6Nh+pJ7FxeksnJEx4q9NEITJxeZxYHXbSDee/wUnoz+H4+VeXmyuZ9OyHIyjO8P5pCNKSwRBEEZRIBig2dlKtimTPLNygtTgaBrjvRIuFErjSA2fWDeDtQty+cbNC6Pu9/oDLJOyImUNF4pwbwyfP7qMobFX/4uy2i4eff4Ip2s7sXb3BBcWF6dHMgDmFqXxh+9cysP3riEtyUhBpoUkc5yBDHN0IMNiUka48QQynB5f5O/6VgdNHcp+924sOnuqEtw4Vt4a1/4Mt0AwyKPPH+F3Lx6jJZQ5UjNIyYetO/p1W+1uth6up67FEXlPvn3bYlITDWjUsYezep2Gr31iAWq1iqfflofplQiCcCGRO04TDAaZlTLjvB/rzBkLna3pHC53cqxqZKb9vpCIQIYgCMIoKOuspMtto8PViS/gI8uUSUZCOmqVmhZn21jvnnAB8PkDNLZ3k5ve02gs3EsgzBRjRo0LQWGWBb22/5Co94n267uqOFLexl82nwQgNdHAtNxELlmUF7WNTntuNdTLpCxmFiRH+mOES1Je2l7JT/+6D6/PT0Ob0uOitdOJ29NTZ+10+9Fp1cyeomQktNvcACT0ahKakWwkLcnArmMNNLQ5zmkfz0d9q4Mj5W0cPNXCn0Pv4WDe3lcTdfvAqejeQp/bNDtUUjO4WYUpFOcn02Z14/WJ2nRBEOLnDfip6KzCojczJbFg6A0GceC0ler6nt+Zdlt802sLA7swRyyCIAijyOHt5tcH/xeAry26G4CshAw0ag16tR633z2WuydcAA6dauGpt2V8/iDTe83eoFKp+O8vXYTL42Pn8UauDzVHvBB5YjT4PNjr5NnqUHpVhGcpuXRx3rC+X4VZFv79U8sit6dkWVgwPZ2K+i4qG2w8895pPjxcz+LiDA6XtbJ+cR53XTUbUHpiJJv1TMtL4mRNJ+1WFxA9ha5KpSInzUS71c2ZZju56dHNSUfSyeoOKhqsMe8LBIIxm6F6QoGatQty+OhYI+8frIu6Py8j/v1PS1QCHgdOtTCrIOWCK50SBOHcOL3d+IJ+CpJy42raPJiXdjX3uhWkutk1YDNjIT4iI0MQBGGE2Tw9V3Vfq3wbgCyTUqOu1+jw+kVUXhg5TrePx148RpfDQ266iRsujj75zkkzUZSTxB2Xz8KgP7dsgskgI1k5uf3cptn85t8ujgQBwlOWhvs1hKXGkQ1wPvQ6Dd+6dRFr5itlL7tLlRK0w2VKacjWw/WRdV0eHwkGbSQDw+Xxo9Wo+mWHrA09VrgZ6Ggoq+vi4WcP8a+t5THvb2zvjrm8q9tDVkoCn7lqNp++chZr5ucwPa+n5MlkjP9aXGoocPHEq6V85/c7o7JZBEEQBuIJKOMzg/b8vu9t3dHfuVkZPura3PzXM1W8tL3qvB57vJIk6VuSJO2RJGm7JEkxo/6SJL0lSdKP+yxbI0lSXFOHiUCGIAjCCHP6epopVlvPAJBpSgdArVLT7GwVwQxhxLy2syry948+syLuWTQuNHdfO5cbLp7GRfNySDLrWRSalvWtPTW4PX467dGZU6mJIxvICAtP4zrQyXcgGMTl9pOg10T1xEiIUSZkDAVnnO7RO5HfUxq7B9AXr5sL9ARoegsEg9gcXpLMerQaNRuWFnD3tXP54V3L+dndq/jCNXPOKqNk/eLo8p++x1IQBCEWj1/JxDPEMWPJjpIOHn2lul/JiNPt59FXekrlCmdWkpDSk53R7Rq9wPJokSSpALgDWAv8F/BwjHXupE91iCRJOuA7QG08zyMCGYIgCCOsu1cgIyzPrFwZ7XQrU12+UrF5VPdJmPy8vgA//es+3tqjDKAe/OKqCzrjYiizClO44eJp6EK9MsyhdvIv76jkmfdOYev2MifUMBMgZbQCGUMEntweP0GUqVanZFtQqaAg08zN6/s3puvJ2PBx+HQrr+6oHIldjggEguw/qQzYM1OMZKUkAJCfaWbpzEwMOg27SxoJBIN4vH4OyC14fQHsTi+BYDBmo9S8DHOkOWu8EvvMHBNuhnoh6HZ5abe6aO508vwHZTz/QRlBkc4uCHHxhC4y6bUDN232B4LsOtHJWwfaaOnyUtEY/f1S1tCNyxugMMPA92+dRkqaA3NaK9LS49x8uZc7ryge0dcwRjYC78qy7AO2AGt63ylJUhpKoOOZPtt9D/gLEFdGhuiRIQiCMMKc3uhAxkU5y/vNR97m7BjNXRIuAPWtDioblK7o/3bTglHtiTAZbFxWQCAQ5INDdWw/2gAQ1VxytDIy0pIGfp5tR+oJhEpeEgxaZhak8MR31w84i0c4S6Pb7YtMNXvxwtwR6xkh13TQ5fBE+nkEAkHe2XeGuUWpGPQalkuZfHS8kdNnOmnucPLnzSeZmp3I569RpqOOd8aXoei0atKTjLSFeoe8f7COhTMyBuzPMRmU13Xx4NMHYt6XbDGwYHqa+E4QhCFESksGyciobHTyxr6e2aA67dEZFl0O5fa6+amYjBpM2gRsXjsarZ+T1pOkNKSwpnDVCOz9mMoGWgFkWQ5KkhSQJEkvy7IndP/PgR8BC8IbSJI0C5gvy/LPJEn6bTxPMu4CGampJrTn2PF7LGVmJo71LgjnSBy7iW0iHL9NmevYtGBdzPv+edv/jvLejB8T4dhNVKdqOvivv+wD4NOb5nDlmunD/hyT/fhlZiayQMqmuctFSYUys9AnNs7klitmUdtsp6gwbVT2Y2O6BbPFyHPvyFT1aZj5l16zf6QmJwx9TLTKsO+9/T1Zuy5/7GPp9fl56K/70enUzCpMJdGkQ6NRs3JeTtzlSf/8sAKAK1dPizzHp6+dF7l/09rpfHS8kee3VrB0dhYA1U02Pjii9P/IzbQM2+fs5/92CSUVbfz62YOo1CrePlDLq9vKefL7V5A8wv1OhlM878fOo/U88uyhyO3igmTKarvQ6zR4vH6e23Kaf21V8eh968nPtFBW28msKamRaYQF6LK7aWhzUFyQglYzPAnsk/07czh4PB5sNiMazfg4F1xqmcvSwrmDruPDFXV7z6kumru8BIKgVquwO5VARk6GGYvFyCcX3RBZ1+/3U1RUhF4/PEHbcUQH9K5hVIWWeSRJ2gB0y7J8QJKkBb3WeQT4ytk8yZCBDEmSVEAncCy06CHgAPB3wAy8LsvyT0Prfgu4HfAAd8myXClJUm6sdQfSMQHT/TIzE2lpEXMBT0Ti2I2eP71xgj0nmnjontXDdiVzohy/50+9wtbajyK3b5ixiSunbgDgq+/fDyhZGp+ee+uY7N9YmCjHbqKpbrTR2uXkf146Hllm0DDs7/WFdPy8oWafswpEdLFkAAAgAElEQVSSSTcpJ/ApU1JG9fXPyk3kR59Zzs+e2k9FfezZPwgE4tqnOz42m2fe7gmAnKhoJS+1f0ZGTZONvaWNAHx0pKexaGqiAbNRyz3XzyM/0zLoc1XXK6Vz6WZdzH3LSTaQnmSgor6LitC6AFsPKIEWvXr4PrtqYMHUFBIMWto6Xfzj3VMAvL2zkg1L8oflOUbaUP/u/IEAm3fX8NK2CvQ6DVqNGp8/wL03zCc10YCt28M3frsDAJ8/yFd/8UHU9t+8ZSELZ2SM6GuYCOpbHfzsqf24PH7yM8zccflM5hSdX+DyQvrOPB8+nxe73TUqgQyrx87rFUoD9ksL1pBv6SlZ8wX8eAM+Xip7HYBb5l2Lzh977NrRFR3IcLoDlNbY+62nU/mx213sqNtDjU35jlOjZk77XDbNuGJYXtNoGiIw1wRMh0gsQSfLcnje71uBmyRJug1IADSSJE0FLgH2SZIEkClJUiMwS5blAX704svISAaOy7J8cXiBJElPAo8BLwMfSpL0ItCFUuuyGliP0tTjFuAnfdeVZbkkjucVBGGSqG2xs+OYkpq990QTH1s5Jep+p9uHUa+ZtFeD2lztUbctup7B/xVT1vNuzVZSjSmjvVvCJOPx+iNZGGGr5mazZGbmGO3RJDGO+gkUZFoigYzs1ASaOnrK1hLi7H/yySsl/vGuHJmFZaBZQ1yh5qLzp6Wxam42VoeH57eW02Fz02Fzc7SibchAhtPtQ6tRR/qO9KVWq/jO7Ut46m2ZE9XR5XXXry1i5ZzsuF7T2Ug06bB1eyK3D55qmTCBjKG8sqOK13dWYUnQ8e3bFpOXYcLu9EUuHiSa9Pzs7lVYTDoeee4wZ5qjT7Z+9+IxnvjuhrHY9XGjqtHKYy8cw+XxU5STSFWjjV88d5jpeUncd+tiTEYtXl8Anz8Qs6Hu2XJ7/dS1OAii/Hs0aDXkZ5on7XhoPLG6ewJLh5qPkWfORaWCLreNNyrfiVo3QWfE54/9W9A9QPPkH9w+jQefU/oQadRgMirf0bo+ZSoJWtM5v4ZxbBvwZUmS/gPYgBKg+AmwX5ble4F7ASRJ+ixQJMvyj4HPhTeWJKlKluWioZ4knn+BaYRqXHrZCHwtVPPyZuh2F6GmHpIkbQH+Osi6IpAhCBeQ7UcaIn+fqO6ICmQcLW/l0eePctWqKdyyYVI2POrX/8Ki6/nRWpQ5j3drtuILTL6u1cLoCQaD7DvZHLXsYysLuXVDsRgQn6ekUNnBcPVrOB8Fmb16GvQ5rsZzPKnacqCWdYvyKMyKDkqEAxnSlBTWLsil3eri+V5TqHbZPXz7fz7ikxtnsjxUFtKX0+3DZBg8wJKdZuKL183lvt99FLX8mtVFAwZAzkdaooGTNZ2R2yeqOvD5A8NWPjCW6lqUwMR3bl/MlGzlamlqYvT7n5ehfIZ+eNcyth1pwOXxsXpeDt/5/U58/iCPv3KceUVpzJuWRrfLR0HW4MGqic4fCHC0vI03d1VT3ivbadNFU7hlfTH7Tzbz+5ePU1Fv5ZuP7aAoN5G6FjvBIHzn9iVRUwL35fX5abO6SbHo8fr69y7sdvn42m+29Vt+w8XT+k2TLQyfQCBIkCDeQM/sIlaPjebuFpL0Sf2CGDNTZmDUGrD3KSEJ63Yrx/a2ddm4PAFe2d3CjNwEZSYpvRqnJ0BighZ16Dtbp4oOZMxKGf7Sz7Emy/IpSZKeBXahVGp8BrgfGNb6qnh+9XTAYkmStgFtwH2ASZbl8NxVLSipI0ZiNPUYYF1BOCfhL5+BGpkJ40O3y8v7B+tITTTw/sE6qhttZKYYMRl0HC1v41f/PMy3blmESqXi1JkugsDmPTXctH5G5It+sggGg7T2zcjQ95yMaNXK17AIZAhnq6HNwf+9cYIOmxutRkVLpzLIumX9DD62csqkbWI42u76mITFqOUTl/afBWS0FfTKgOh7dMMzksRDCW71XF18e28Nd18bXQfu8ijfScbQ4/ad8WbroTo8vgC/f/k4f3rgspjP43T7SDAO3U8jxWLge3cs4f2DdZGA3EgEMQCKcpKiAhmBYBCH0zuh+mQM5NDpVnRadb+gVCw6rYaNywoit//9U0v50xsn2Huimb0nlGOgUat45GtrSTKNfRDvXPn8AbpdPqqbbMwtSkWjVuP2+LE7vTR1dLP1cH1kZh1QAms3XjyNFXOU4Nzy2Vn88f4NvLitgvcP1lJW21MC9fuXj/HQPasHDII9v7U80o9m3eJ8PnuVFHX/i9t6AoObVk0hEAzy9t4zlFS2i0DGCNrduJ8GRyNz0pTjIaUWI3eUUWmtQa+O/qwXJOazImfxoI8XzsiYkplAkklDgkHD9GxlhqZZBWaOVdqQCnrGfeFhrkql5uPTribLPDnLuWRZfgSl70XYPTHW+csA2xbF8xxD/urJsiwDUwEkSboJeALofZRVodsDNfWIte6ARLNPoa9gMMjDT++nsr6Llg4neZkWfv2tS0XzpXGm2+XlrV3VbD9ci9vr50yTcmVIrVZhMen4+m1L6LJ7+OXfD3C8op2ARkNOuhlHr5S8LpefWVNSB3qKmMb78bO6bJF5yMOmZGeTmajst9uQDIDGoBr3r2W4XWivd7g9/mpppMwgwaBh8axMTEYt16ybQXpywog//4Vy/DKBb396dBp7DsVg6jnZDvQpeSnMS477mKjVqqgRm16v7betvkIJwGamm8nMTCSlzxVlT6/bAz2v0+MnO7T9UDIzE5k2JY19D20h0aQbsc/XotlZvLVXmZI40aTH1u1BZ9RPmM/zQPtZ3ah8Fxh0GrKyBs4SGOxxVy8u4PSZTt7bW8PmXVX4A0Hue2wHX7xxAUulLJIthiGnAx5PahqtfOs32/GE+twY9ZpIplFvKYkGLpqfS3qykesvmY4pRvDt3lsW86WbFvHrZw6y40gdU3OSqKjv4nuP7+KGdTNYPjebqTk97/v+E01RTXW3Ha7jhktn8MTLx7j7hvkcK2vl/YN1ANx9w3xuWKcESg+ebqXT4Zkwn8fhNhLNPt889T4pxmTWTFmGP+Cnyqr8+z/corR/nJqej9xRhifoxqKP/u2cnTUdi0XpIRT+f7999infxZnpJvRaNRfN63mMz101td/63hYlEyRBayAl2UJ6umUyNvscFWebh/gm8FvALkmSUZZlF5ABNKKUlvRr6iFJUqx1BySafQp9VdRb2dGr0VhVg5UX3pPZsCT/vFOmxbE7e112N4fKWvF4A1yxvACVSsUBuYU/vXkCp7t/VsF3b1+MFApOaHsNvF/ccoq1C3Kpbe5J5fz5X/fx0JdXx70vE+H4hX8we/PYgrS4lP22OZUgh83RPe5fy2DsTi9tXS6m5sQefAWDQWzd3kh6/kQ4duPZc1tORxoxfvv2xcwqSEYXuggQ8PhG/L0Vx2/s3LJ+BjnpJiobrLy+sxpQriLnpRjjOiaZmYmRbI5LFuay/WgDXTZXv20/OqKcZHlc3sh9GrUq0lujt1jP6/UF8PoC6DSquD8repTPc3pSfK/lXIQbtgKsW5TLG7uqqanrxKQd/xlMg/27q6hWAk+LZ2ac13uXmqDllkuns2FRLn979xQlle384SXlhC8nzcR/fm4FBt34v+DY2unk/sd3AZCfaaauxREVxFg5J4vsVBPZaQksLlaCwAAOmwuHLXYJAcBdV87klkunsfVwPRX1XXTY3PzljVJe+rCMX35lDYdOtfLG7mqqG5VjkJ5kZP2SPF74sIJvP6qUkXz3t9sB5eruT+5eRX6GOXLMks16yuu6aGq2TroM1XgMd7NPh9dJrbWBWmsD81Pn0uho6r+SV41OrcPqdqAlOoiVqc3CbndhsRix22N/LmzdPnQaFR6XB0/MNaJl6TMpo5I5aRJ2u4u2Njta7cQJEIaNh2BbPLOWpAOdsiz7UbqJHgXagU2SJL0MXI1SbmKlT1OP0ENsj7GuIMSly+7mqV7d1cP+9s4pymq7InPND3dtazAYxOsLoJ8AP9ajqcPm5oE/7IrUeuZnmslMSeDZLadwun18fN10Wjqc1DTbyM+w8IVr50T9EKcn90SzN++pYfMe5SQ/2ayny+GhudNJY3s3OWmTp/FRp6ur3zKjtud90E2S0pKn3pbZf7KZ+z+5hNlTe7JqWjudPPKPw2SmJHC8sp2v37SQxTMnZxrlaGnpdPLOvjPotWo+s2k2886zm74wsWy6SLnCN3tKKgumpzM9Lwm1SnVWgf3rLy7i1Y+quGJFIduPNuD2+qlutOF0+9hyoBavP0C7VRm0Z/f6PtbrNDED1rGE1zvbhogj/Xnu/TuUEionsTm9A60+YdhdymuYnnv22RixZKQk8M1bFvHy9gp2Hm+ktctFY3s3P3hyN26PnynZiXzzloWRAOp48+I2ZepfS4KOB+5citmow+P18+9P7GbZrEzuuGLWOT2uSqXCZNSxcVkByWY9CQYtv3vxGF12D997fBftVndk3Rl5Sdx/x1J8/gAHT7dS2WfGoYvm5ZCfYY5aZjHqCAbB5fbFzAwRzk67q6dHmcPbTY2tLur+LFMGqYYUErQJWN1WrG4rerWei/NXAaq+rYhicrj9Q/YC6m1qUiEZCWlY9Gb8/tiNQoX4xPPrshj4pSRJDsCN0mXUAfwNeADYLMvyfoAYTT1AaezRb11BGIqt28Nvnj9KTZOdixfmcvtlMzlwqpn0JCO/fO4wu0ub2F3aRH6mmZ9+YdWwPa/b6+fnfz9IQ3s3D33poklRN3u+WrucPPbCMawOD15fgPQkI21WFy9vq4g0x9p00RSuW1M06ONoNWoeuuciHvjD7qjlhVkW0lw+KhusdNjckyqQ0e1TZhUwa004fErGmVrVE3ibLD0ywjXGDz97iA1L8llUnEFRbiLvH6yjqcMZmV1h25F6Ecg4T7Whhn7XrS1i9bycMd4bYawkGLTMLDi32Y42rZrKlSsK0ajVaDUqSqs6+s14o0Kp5e7dbyEt0UDdCAcyRppKpeI/P7sC6Jmxxd4dz3XU8Wv/yWaeeLUUYNhLP268ZDo3XjIdl8fHg08foL7FQRClcfee0mYuXpg75GOMttKqdnaXNjEl28KPPrsickFFr9PwyFfXDstzGHQa1i5QXvsXr5vLk6+VRgUxNGoVt102E51WmbXnt9/eQG19Jy9tq+CdfWcAuOGS/n0wIpkhrvgCGcFgkL0nmkkwaMTUuTG0u3r64VR0VVHRVRV1/2UF61CrVWQY07B6lPHsvIzZ5JhjNzDuKxAIYuv2kZ8Ru+wkFpUquleacO7i6ZGxBVgS465+8zPFaOqBLMt1sdYVhMEEAkF+9Y8jVDfZ0GvVfPrKWei0Gi5ZmAfAlSsKIz8EdS0OPF7/sGVPVNR1URVKCTxS3sa6RXnD8rgTUWlVOy/1ClaAkoXxlRvn85O/7o8sv+HiaVy/tiiux8xKNfGxlYW8vVc5fhnJRu64YhbHK9qobLBGTYs3GYQDGRa9JRLI6E2jUj63/qCfbq+TBK1xws0yEQwG0WvVkZr5Dw7V8cGhupjrHi5rpbbZPi5SEieiYDDIh4eVUrucNDEQEs5duGn2QFMKBoHUPoH8+25bTHWTjT+9cQL7EFkM3aFAhmmcBTKASAmcI5TFYOsePxkZxyva+OcHZdx22UzmTYsvO+X3Lx+P/J1kGpmr+Ea9lh/etRyvL4Db4+f+x3fy3oEz4zKQcayiDVCCMKNRnrFyThana7vYGvrde/L+9QQCwX7ZKgadhtsuK+Z0bSdWh4eM5P4nv+FARrcrOmAYCATZe6KJZVJWpBFuU0c3L3xYEbmQMLcolS9dP29CN2cdbpVd1ZG/S9qUDO88cw5tznbSE9IiTbHzLDlUWKsAKE6Ov9Gq1ekjEIQU8/j7nrsQiHddGHe8Pj9PvFpKdZON/Awzd1w+s9+Pwco52ZFABkBdq4Npw5RO2enoOZE+VnFhBjK8vgClVe08+q+jkWVJJh3/757VkatrP/7cCrrsHrJSEyLpufFatygvEsjYtGoKOWmmSD3peBpQDgenVwlkmLRK86fe2RgAGrXy2a7oqua72/+Tq4o2ct30j43uTp4np9uHxxdg0Yx0rllThMPp5XRtF43t3fj9AdRqFYdO98zi/eGRepbMG3+D34nglR2VHC1vw2zUMmfq2TXGFYTBFGZZONNsj1qm7zNzSGqigdREA7/62lr+9OYJdpc0DXjiPF4zMnqzhLIXxlNpyeY9NdS2OHhrT3UkkNHS6USv05CZGXubRJMOW7eXT6ybTnFB8ojtm0GnwaDTYEnQsWB6OkfL22jrckWV64w1W7cnMr6QCs8tY+lsadRqblk/gxNV7Vy6OB+NWs1AFc8qlYoH7lxGIBiMGWQxh7IwwkG2sNd2VvHKjkp4rZT/+94GVCoV//PiMWpbHJF1Sqs62HW8MWqK+wtZp8tKt68bnVoXNdXq1KRCLs6/KGo8lp6QigoVs9NmodPE/51ldyqlIUmm8fs9N5mJd10Yd0oqOzhwqgWA735ySaQ5YG99o9gnazrOOpDhdPuobrTywd5qXt9VzRXLCzh0upUpWT1Xiksq2+l2+TAZtfj8AR59/giJZj1F2YkcPN3KbZcVs/NYI7dtLJ4Uc9CDMlXZL547FJlibEZ+EusW5TF3alrUgDQ71UR26rmVgOSmm1k5J4u9J5qZGRpoJIYGw5M1IyM8YAkHNMI0oR/S8HpvVW2ZcIGMrlDwL9mipzhfGUQvKu5JcW3q6I4KZHQ5JtcxHi1/f/cUWw7Ukp5k4Bu3LIpcuROE8/HAnUsJBoPsKmnsF8gYqKmjVqPmS9fN41h524Dp79bQd7llHM9ykRi6cj2efnc67Up5Qrgcr7yuiwefPgDAa4/cEHMblUpFdmoC1w5R3jmc5k1L42h5G2/treHOc+w3MdzcXn9UidRoBtESDFr+3z3xNSsfbGrhSHCtz0Wd8vqeflvNHU5KqzuobXFgMmi5evVU/rVVmco1nFE8FgLBAFXWM7xR8Q7XTv8Y05LjD6gEg0EOtxxHr9Li7raTk5gd97Yunxu9Wt9vynGbV/k+K0qawulO5f352NTLSE/ofxHArDNx86wb0Kriz+52evxs3q+MbRIMk+McYKIRoyBh3CmpVDpvf+XG+TGDGABJZj333boIvU7DQ38/GJnq82z89K/7I/WxQKT7e10ouj1/ehrHK9r56HgDVywvpKGtm5IqpWnQ7pKmyGMApCUZmFWYwvS8pAlXFtDXlgM986TfsmEG6xfnj8hg4O5r53L7xpmRbI7IgHIcXRkbDr1LSwBSjdFXiNQqNWqVmkBQKcsIN/+cSKyhwESSOXZmTnqSEbNRi0qlwu70sv9kM7/9xyFWSpnMyB+5q4eThcfr55fPHaasTvl3ed9ti8lNF2UlwvCYFQomhy8g9DZUyWaCQYvbG7tZXXO78t2XnTryUwGfq/BJ41BlMiPN6/PzwocVXLG8EEeopKC1y8XeE008/kpJZD1Hr/10e/z87yvHmZqdiNXhITN5eLJS43Xpojy2Hqpjy4FapuUm4nD62H60AYfLy7/fuZSMlNjH3R8IRMqahturOyojfSpuuDj+8oDxJDVR+R3tsCmvw+3189RbMiere3o9HKto45n3TgPKWPXqi6ZyxfJC7vnlVvaUNvGFa+aMycW1l8veZMsZZWaWpuMt/Gzt9+PetsZWyx+PP40WDVPJ4cbiqzFqh872bXN28Hb1+yzMmM/8DCnqvm6vMsbPMmWQY86my91FmnHgTEad+uxK1D882kF1s9IU2aQfn01vJzsRPhLGjUAgqFxxPFhLskXPnKLB06bnT0+nuCAZs1HL8cp2XJ74myW+sauKxvZuctPNAwZLrgl1hg+f1Ld1DTwd1/Nby3nw6QMcjDEQnGiOhwJJ65fks2nV1BG7oqHVqKNKUnoyMiZeIOOjuj0caj4W875wIOOywktYkDGXz8+7o986ml5XALQTMJARycgY4N+SVqPm4XvX8PC9qyNXot7dW8NrO6si6wSDsev0BThZ0xkJYvzbJxaIIIYwIowxBuIG3eDDRINeg2eAQEZjh3ISkT2OmzfrtGqMes2Y/+5s3l3DO/vO8NsXjkb1Rvjz5uhZ20or2yJ/bz9az9Hytsj3aF7G6H4v6HUa7r52LgB/fP0Ez245TW2LnQ6bm0f/dTRmcOiVHZXc84sPOTQCY6Wmju7ITGhfv2nhpAlkbD1Ux66SRnz+QGSdf7xfFvn76tBYtXeWx67jjaOxq/18ULsj8nf44sxgttXu5L4Pf8iJ9lPYPNEXJFucbQNsFa3SqlyEPNp6nL7DCEe42brORGFiLvMzZsc1C0m8rM6ef6v6Ib4rhZEh3nVh3HjitRK2HKglP9PMDz+9PFInOBi1SsXlywuxO71sOVAb1/M0tDl44UNlWq5Llxbwq6+txRwjRbsoNwkVPSdpDW2OqPv/35cu4rObZkcte31XNT/84x62HamPa1/Gm21H6impbGdabhJ3fUwaeoNhFL4ytv9kM17fxJmOyhfw8Yz8An88/jQf1e3hnaoPou53el2oVWpmJBfx5YWfJcvUv8hZq564gYySqvbIFcOBAhmgXLk16rV89/YlfP3mhSQYNJErZ89tOc33n9xzVsHIC8nJGiUT7Nu3L2bJrAGK5AXhPMUqIxkqI8Og0/TLyHB7/Pj8AZrau9FqVKQnjZ/+CbEo/SXGtrQkPM5oau/G5w9gCAWV3J7o97akoufkrqWz5+KKXqfuNx4ZDdNyk7jzilnkZ5iZP72nMWldq4OvP7qd+/93J795/giv7azi+a1lvLKjkkAwyLv7zwzyqGfP4/Xzt3dORW7PKpy4mX7ZqSY0ahVldUoGRpu1/0U0f0A5Y//hXcuZkt2/cfa+k814fUMHEoZb7+BFgq5/Rk4gGKDe3og/oHyu367+ALffw5GWEly+6NfZN7AxELev59/us/ILvFX1PoHQ+xPOyOhb0jtcOu09Y5Ykk8jIGAsTa8QsTFpNHd3sPdFMUU4i37l9yVnVfl+5opDXPqriSHkb16wuGnL9cGbF1JxEPr5+Bg6biy9cO5cTVR1sPVyH1xcgNdGgNLQy6SJp84fKemr8P3n5TLLTTGSmJvDBoToS9BpO1nRGGlY+/0HZhGwSuv1oPWqVintvnDfqz63VqCPTulY12s55WsHR1uhojvz9jPwCAFcW9UzU1O1zYtImDFpy1DsjI0Ezvgf9fT3zbs/gMZ5a+HAjuoyUBNq7XPgDgUjj3q2H6rlqlWhS1ps/EGDviSa0GjXFeRN3cC6MfxnJ/Qf78QQyfP5gpFzgtZ1VvLStInJ/brqpX936eGNJ0FHb4sDl8bH3RDMrZmeNeG8FW7eHmmY7ySY9BVkWAqFLyeGZnxZOT+eOy2fi8vp55LnDtIbGLcfL27gm9B0ZpOfy87yitDEra924rICNywoAZXyVZNZzzy+3Akp5TGuXi6PlSgDGkqDD7vRysqaTR547RElVB2ajlm/cvOi8mpTuKmmMlCU/cOfSuKYtHa9MRi2zClM4Ud1Bh80dNatQepKBzJQETtYoQY6+U9V//aaF/PaFoxyvbOfDw3VcvrxwVPe9N4fX0W/ZX0ufY3/TYa4uupxrpl9Jp1vJNHT53HxQ+xEAGwvXUXbmVKS/xVD6rtfu6kDuLONYaym+gA+1So1RO7zjKn9oytWWLg8pFi0fX53FtOzxW0I3mYlAhjAuHAk1Aly/JP+sG9glGLSkJxtoCTXGGspjLyolABuW5GMy6nDYXCwuzmBxcQZXrZrCqTOdTMlW+hkkmfQ0tnfz+CvHKa/tQipM4f47lkQGDGqVih99ZjkA3/rdR5Ggh8Plo7y+ixnj9MTjTLMdt8fP1JzESDpiXauD8jor+RnmmAPa0XDLhhk8/koJ5XXWCRHIcPpckeBFbx2uTp6TX+Lmmddj99oxawdPre4dyEg2jG6d8/nw+vyRPjN5GeaYV4YGkmQ2cKbJznPv9aTIvrv/jAhk9NHY1k271c3qedmRq7SCMBJWzsmiIMuCw+nlob8fBOIoLdGFMwcCmIxqKntN1Q2MyVXhs2Uy6vD6Auw42sAz753mlR2VPHzv6hHr4wBEppfXqFU8fO+aflktZqOWZIuBZGDprMxIsPd0bScujw+jXhv13oankx1r4dlLvn37Yh5/+Tj337EUfyCArdtLMBikOD+ZN3ZVs3lPTaTnmMPl470DZ84rkFHZoHzuPrdpNjNHcNaW0bJkZgYnqjs4fLolqkSnMCsxqoQkwRD9m7CoOJ2rL5rKm7uraWjvP937aLJ57Hj9XnQaJajk8rnZ33QYgIMtx9hQeHFk3X1NByN/F1ryKFeV0eXu+S5xet0E8GPW9R9LOTwOkvRJGLUGmruVkqVDzT0z7iVoE4Z9Ct5dJzp564ASnCvKTmBG7vgtn5vsRGmJMC4cDmU7LJyRfk7b56SZ6XJ4qGsZPIIbCAQjP/7TY8xykppoYNXc7EgN+vLZWWjUKvaeaCaIMtDre9VDpVKhUqnIS4/+InvwqQP8ZfOJfnOBj7WqRiv/+ae9/PffDvCtx3ZwrKINu9PLf/xxD6DMUjJWwsekd3fu8Wxb7U6qrf1TZF8uf5PjbSf4xf7HcHi7KUzMH/Rxek8BFk9d6XjR0NZNMAiXLs7jZ3evOqsg5KlQucSWgz0lYR02d2TKRkGx94SS8VM0TNNLC8JAVCoV+RnmyMxDAHrt4MGzcF14+ES87wn5gnP8TR9N4dLSF0OZJB02N3JN52CbnBe3x09Nk5K96Q8EKavr6tewPKHXd+lNl87gh3ct52MrCwkEglSEgkW9vyvPJog8GuYVpfHYN9dRmGWhKCeJBdPTWTgjA5NRx7rFPdmq160pItmsZ++JZg6dPvu+GV12N2/tqaG0qgOtRs3q+TkTvuE6wJKZSgnh9qMNkQavP/n8Sr7y8flRPR5ijcNG52wAACAASURBVEc3XaRcDPjgYN2o954Kl3DkmXMAsHpsNHW3EAwGqeiqiqzX6Gji90f+HPMxzHozyToLne6uSKbS29Xv80r5ZnyB6O8Xj9+LO+DBojOxLn81ueb+M52YY5S4nK/yhp4Lp5nJEzf7ZzIQGRnCuFDTZCc33RTV/PFszCxI5lhFG2/sruZL1yllEV5fgHari7f21rBidhYzC5J5d79y0jR/WhoFWZYhH/eGi6dx3ZoiWq0uOm3uqAFeX/feOD90hUXNL549BMC2Iw10u/185cb55/S6RsJTb8mRv7vdPn79zyNR91+3ZuwaZKUnG0ky6yMDtfHO2aum88cXfY+Xyl7nSGsJbn8oM8cX7pg9eF8Dm6dnurTec52Pd/WhvjHn0mQuP9NCVUPPcc5OM9HU3s2rH1Vy22Uzh20fJ7K6Fjuv76wiLcnA6nk5Y707wgWidynIUKUl4RT+b//PR2xcWtAvkHHzpTOGfweHWfg1uHr1o7CO4BTRtS12gkBhloUzzXZKKtupb41Owzf1Km3RadVMz0uKBD8ef6WESxbmRkopTAYtUuH4z2AMy041sXpeNu1WNzdeMo38TDOPv1LCH18v5b5bF3PwVAsajYqM5AQWTE+PNL+M5W/vnIrMtlNckDwmM3WMhHBmS3gqVaNeExmzLp2VyaHTrdy8Pva/rd6fnTara9QybP0BP90+JzNTppOekEa9o5E3q95jd8N+biq+FlufUpNwk86+MhMySDYk0e7ppM3VTmZCOt2hsVSVtYbilJ4xqj30mBa9Bb1Gx4rspbxasTnq8ZL0wx/kMxmV70WjTs3cKUOfSwgjRwQyhDHl9QX4vzdK6Xb7IuUc52LjsgJe3FYR6X/RZXfz/Sf3RK5YlNV1oVGrqAld9TibbtZqtYqslASyBphKLCzRpGf+NOXq01WrpvBWqHv2/pPN2J3euPoHjDRrt4czzcp78L/3Xcof3yjlgNxzFeS+WxdFfkDHQviK4InqDnz+wLgflIQDFipUZJrSI406e6dEAug1gx97X7BnAN33isN4Fv73NtS/jVj+4/Or+MKD70Zur5idyes7q9l3slkEMkJOnekkCFy/dtq4+P4QLjxDVVf0PsnccrC2X83+SPeaGA6xmhQ7hjGT8uCpFrJSEyjIVMY44d/gSxbm8uyW0zGbg8fq8RCeVcbu9EZm51ABv/n6xeP+t7KvL17X04dr5Zxs2qwunv9Amf2tN7NRy7/dtJB9J5tpt7owGbVcujif4vxk/IEAxyrb0KhVfOGaOZN6Ku/e3/8r52SzYnb/7OAwlUrF5csLeG9/LW/vPcOdV8walX3scCtZTMmGpMhYaHfDfgAqrTUcDJV7fGrOrfztxD/7bT8taSq55mwS9WZSDMlgg3ertzI/fU5knYrOquhAhkcJZCTqlIspFr2J6clFUdkfC9KHv+eb26Nkzn7npqkxZ3sSRs/4/4URJrWPjjdEUqeN+nP/OCYYtKQnGWnuVNK9jpS34XT7mJabSGWDjbqW6EjwSP/gFWZGB2Vau5xjfiLS1N7ND/+4B38gyMIZ6Rj0Gr768QUcq2jj1/88wiULc5k/fezTgMNpvg6Xb9BZMMaDcEbGf61+ACBSC9rgaIpaT6+J/3X4x1Fpyd/fOUVasoFNq6ZGloU/y0a9lk67Esg5l0yqrDQTqYkGOmxudFo1/5+98w6P4yz39r29q3dZkuU2ki3bcXfsNKf3BNIggSQktECAE8gJHA4J9XxAIPQkQEgBQgwhCalO78U17ra0VpfVu7S9zvfH7K52pVW1ykqe+7p8eXfavquZnXnf3/s8v+fijUXsruig3+GhscNOn93LsuK00Q80BwmKIk++VRXJi5+XKc/4yEwvYVNG+yhlSdMGzZa3znBe/kRYX5rFcx/UApCfYaKp0xEJ5x+Oli4Hbd0uTlmcMeJ2Hl+AP4R8uR75ztkANISEjMXzUshJM9LSNfRvFq+SWrw+0pevLJt1IkY8zjoln7oWGzXNfZy3toDCbAvPvFdDVVNfxK8lzPbDbdz5qVPYX9WJ1xdky+p8Ns7xiDXToP7jaOkzYUHxzY8bue7sRdNyjdT1SeJaoWUePe7Y1Ky9UZ4Vp+auRaNU8+iRJwApDaXZ0cqXV96MWWPC7/dh0Q5EeR7uKo+87nR3ExRFlAoFoghVvdLvNkU30Kdfk7USo8aIXqUjx5SFQTOxSO+R8PikfppWPft/e7Md+QzIzBj+QJBt2wdCyzQneEOYn2Ohz+7lB4/uYuublYCk+l939qKYWaNvXrvyhD5nLGxcls1PPr8hkqvY75j5dIF3DzQTCIokGTV8JkqhX74gnfu+upnPTnO51eEIz0Q53TP/NxsNd0ASzgwhR2yNUmr74PQQrXI8QsbMRWR097vZfqSVQDBIbUs/b+5t5N9vV0d8Zepa+7nrwe089nIFIEU+AaSYJyY4nbe2gIX5SVx15kL0WjXJJi0uT4B7Ht7Fff/aH8mPPdn48GBLRMQAyMuQjcRkpheLUbqX9Y8mZCR4adWxkJtuQq2SBoaXh6I1X9oRP+w9zJNvVfG7pw9yIKqaWTyi01UCQek+2tzpQIGUkndeVFWJ9aWSJ5fZoInreTF45lejVrKuJGvEz58tGHRqbruyjF98ZTPnry+kpCiVL162lOKQN1CSScvXr17B+tIsgqLIvVv3Re6RW1aN7EE1FxjvRNhpy3MjRry7y9tH2Xpy6PVKkaiZhvRRy8hHe1l8c81t/Pz072PWDIgX2YahXhdhrD2SQXi9rZFWZxt5ppyY9F2NSs2KjFKWpC4gSTs1kwAeXxCtWpHwFZlOBuSIDJlR6eh18bN/7OXGCwRWLhp59mE87DzaRmefm9KiVFLMuhOuVlC2II2Pj3XQ0GZHq1GyvjSL7FQDF6wv5IL101sJQaFQkJdhIjtVGoD8+50qhIKUGas60N7riqS63HhhCRmDUgFGykGdbtxeKaT3+Q/r+NLl018GdjyEIzL0aunvpxnm4T1aakmuKZsWRxspuuQZMfv0+QO8u7+Z5z+sw+7y8dALR2PWP7KtnNNW5LI3lIu8q7ydWy8J0uvwolQosBgnJmRcuKEw5ndvHBSG7vEGZkVo+mSz2xrb8TyRaDUZmYlw8cYiHn6pnI1Lhx9QAKQlDTw75mWaaRzFcDtR+cVXNlPT3MfyUFTiaDOtvSEPjb++UsGPP78B0zDlPr1RniFNHQ4Ksy043X70OjUatZLTV+byt1cl36pPnL6AL18xvJ+WflCFirkQiTESGSkGvnfjGqqa+sjPMGPUqzllUQaZKdW8FJoE++LlS+dsxFp2qoG2UDW+wSlbo6HVqPjRrev5zp+28+L2OtaVZk359RJO8zBpTMMKGV9cfiMAOUZJgNMqNRjUQ1NTlUoFuaYcWhytQ9a1OtpYmDyfve0HUClUrM0+hen2d/X4gqNWdJKZHuTekcyoqJQKemweXtt9fFKFjP2hkqs3XSiQlXriM45hfwqQcghvubh0hK2nh/DDp6nDwc7yNs5YmTfKHlNDS5SR2LzM8RszTifB0CT8zqNtCS1k7G8/RFVvLXqVLlJ1JByRAWDWmCJGVLpRUkvuWvs1vEEfv9jzB3yB6YtEsTb0UF7fwzv7m+kPiRLRbFmdz9t7m9h5tI2dR9ti1h+q6aLX5iHJpJm0WYnBooX7JBUyWjodpFp0fPuG1cjzPTIzwebluSxfmE7SKCJldGrJ+tIszjwlj6IcC0++XTWrZsqTTdpIpYhF85KpbupDFMVhQ/jDKTe9di//fKOSWy9dGne7aPPT8voeCrMteHz+SHRFdIlX/Sj3usH3wpPh3qBQKIaUYt9UlsPre46zekkm60tHFtpmM3fftJbbf/M+Oo2KT5w+fhP2zBQDa5ZkssfawbHjvSydP7Wpmg6flCJl0hiHFTLS9KkAqJQqfnbaPfiDI3nRSJ3BFF0yq7NWEBADvNv4EQa1gdcb3sHtd7MiYxlm7fT3ad2+IEadLGQkAidfD1Fm3KQl6UlL0k1a7qvT7WdXeVvEaTpzAkaB8Yg2qZxo9ZPJZvG8ZD53cQmPbqugrtXGGVOf1TKEpk4Hv31Kyk+8+qyFkyIaTSWfPmcxeyraWTY/daabMixBMchDh/8OgF49cN0Zol6fV3QW/6l6CZDMQEdCq9KiVWlRKZR4piEi40BVJw+/VB5Tn/6sVflceXoxSUYtwaBIU6eDeZkmbE4feyqkCIHoVI+HXyrHHwhOqGLJcKQnx/5upeicxPgtTxc+f5Cufg8lhSkTMlGVkZksRhMxADRR5VkNOjXnrJkHwHc/s2bK2jXVGHVqRHGokFpe38NfXjzKXZ9eRVe/m/xME2qVkg8Pt7K2JCtmomf7kVYa2+2sWjIQ8v70uzVcsL4QtzcQN1XAMErEZuag6hO+QOL4KU0nuekmHvjmmUOE97mGUa/h1187DYNWNWr1oOFYuSiDPdYO3tjTiEGnjqTqTAXhKm1mjQm1Mn57o/tIllHSPsLRqRathRxTFi6fFAEbNvK0aMyUpk2PkelgPL4gqWZ5CJ0IjElOEgQhRRCEFkEQzhIE4W5BEMoFQfhAEIRnora5QxCEnYIgvC8IQnFoWa4gCG+Flt89VV9CZurJSDaEaqv3xF3//oFm/hnypRiN1/ccj4RSwuimRRNhojn7k41CoWDj0pxQxRTb6DtMATuPSqF52amGGYsIGQ8pZi0qpQKXN3Grdzj9AzXEw5VLADIMA1FB88x5bMpdD0COaWx5zCqFaspTSzy+APf/51BExFAqFHzyjAV89vwlkYGLUqmgIMuMQqHg85eUcu2WRREPm81lkqmay+PH5w+OWJJ4vAyeXXMn8DUwVdicEzdQlZGZSeaK8Z0xZLQZrnoW5sFnD9Nj83BvqLy6Sqng1otLUSkV/OGZQ/zrrUpe/KiOYFDkoReO8vLOBg7XdEX2DwZFRFHE4w1E/AuiGc0nTKlU8LfvXxCZnZ9NJVcnm7kuYoRJNmknLGKA5B0HsL+qkydePzYpbWrtdvK7pw5ytK47Zrnd60CBAqPGMGxERvTEz2iUpS8lw5BBSZpUxWywafpp+RtjIpqmC39AxB8Q5dSSBGGsctL/A8Ijz3Tg61arNVI3TxCEecD1wKnAWcC9wDXAj4DfA88C7wqC8IzVaj0yOU2XmU42leVw7HgvD714lB/fumFIiOOjIfO/SzfNH9WU6Nhxyc341GU5lBRNzYPYGMfxe6bQqJXkZZhobLcTDIrTag7U2G7nxY+kXNI7rl0545VTxoJCocCkV09q+bvJxuEdSNVxRYka0UJGqi6Z60uu4vKFF4468xBGqVBOudlna5cTf0CKrDDq1Pz2G6eN2BnQalRcuKGQs1fn4/UHMenVdNs8lNf3kJ6k59ot8WvZT4R5meaYc7/3WMeUziAlIn2h3PukBK/YIyMTZsPSbHYebRvivTRbCXv1ON1+0qJuP2IoIi0sNp66LId5WWbWCJnsKm/n1V2S+WRJ0UA0YWeoRDVIEW1ubwCvPxhj3HnlacV09bvHNKmTmqTnkk3zKciyUJQz1BBURiaa/Ewz//eFDfzhmUNUN/fT1Okg/wSiKPdVdvD7p6UqPEqlIiZdxeF3YlQbIqm2YdQKFX4xgF6lx6Qee0RwtimD801nRt6rlEpK0pZgVOtZkrpoxsQsb6hiiSxkJAajngVBEM4AnEBdaFEaMNim+RzgdavV6gfeBDZFLd9mtVpFYFvovcws5IyVeVy4oZDufg+Ha2NV2Lf3NUVeN3c6Bu8aQyAYpKaln7wME1+4bCmnr5iaCAFNgplgFWaZ8fqD01qarqnDHnFen59jmbQUnunAoNfQ1u3knod3Ut3UN9PNGYLdF/88RpcMM2lMKBSKMYsYIEVkTHX51ZYu6Td63dmL+NXtm8c8o6HVqDAbNDGd7VSLLia0fDK481OrIqUHX9pez+GaLrr73XT3u+l3ekfZe/bTG6oEIwsZMrOFz19ayi+/sonSosRNBxwP4YkQpye+mB4WgsNm3hZD7G81uuJWd787Zt1Xf/0eEJuSc/lpxXxuHJ5eSoWCUxZnJJRJt0zikptuYmGeFDl5qLprlK2Hx+XxR0QMgPYeV8x6h8+BSSP9JtqdUuq4VqnBH5qcyTPnnHAE9uqs5ZSkLZ7RiBy3LGQkFCOeBUEQdMDdwA+iFovAHwRB+EgQhK+HlmUTEjdCokVQEAQtYLRarZ7QNh2h7WRmKUtDnZTokqlur5+/R6WJdPa5huwXTVOHA483wKL8qZll/eJlS1mYlxRj/JkIhEupTWd6ycMvlbPzaBsAX7pi2ZSk8EwV4dmqxg4Hf34h8YK4nKFcUKVCyVdW3hpZbooqH2YYRwhlmOmIyCivl9LDCrLMEw5ZDYYcWafiQV6UY+GXX91MYbYkAP3qyQPc+cBH3PnAR/zX7z7glp+9xcfW6SknNxNUHpeEu8KsuenELzP3UCmVc6IMaxijLlwCPFbIGFwN2hCqIjK4mojLM3APr26WSlIO9rvx+U++tDmZmeOCUHWw5q6RJxujsTm9kf4CwDv7ByYttWolrd2OSElhURRx+JwRIeOM/FMxa0x8acXNkX0uW3DBiXyFhMETEjL0spCREIwWf/8/wINWq9UuCAIAVqv1JgBBEEzAm4IgfAxogOi7siK0TDto2ahTTKmpRtSTPMM3HWRmzv0Qv7UmHTx5gNYeJ8eabRTlWuj3xM4eO30i5iTDsJUG3tjXDMCqkpwp+ZtddpaFy85aPK59puPcrRCy2PpmJR0277RdK70OL2lJer5z4zpKi6fWrXqysUTNRqtVqhH/ZjPx29O5pAfYLauv46xFa+Nuk5M9/rQpvU5DsD/ICw3buKbsEiy6yR3Men0BdlW0o1UrWb0sd8JlU684axEPPn2AK85afEJ//5H2versJfx6614AzlwlGQi+u68RgPv/c5iH//c8ssZZkm420Bqa5dp4yryEr9hyMjz35iryuRuerAzpvqvSqjnc0ItQlMqDTx0cEqGRn5tMZqaFzLTYUP3orXx+qY+0ckkmr+9qiCzXatUTPgfyuZu9zNS5S00zoVIqaOxw4FMoyMsYvW/xp0d2svNIK3d9di27j7by9sfS83djWQ5GvYa39hzHFYDibAtOr4ugGCTVHPpNZFp4ZP4vAUhO/jpKhZKybGFMbfV6vdhselSqxBsLms16lP3ScNdi0mI2n7iAGwgESE83o9XKUZgTYbRe0tXAlwVBeABIBi4XBOF6q9X6itVqdQiC8C6wFGgDFgAIgqAANKH1dkEQ9Far1Q1kAEMLAg+ip2f6Qu8ni8xMCx0dM2PkON2sWZLJx8c6+NnfdlOUY2FRKFztk2cs4Jn3anji1QqeeLWC33z9tCGO5x5vgOffq8akV7MkLzH+ZtN17iyhCIOK2q4p+7zqpj567V7WCJkERZF+u5cF+UlkmDUJ8bceD9GPr0AwOGz7Z+q319EtzZr7XOKwnz+RdgVCPeBXqt7B5nRyfcnVE25jPHaVt+HxBjhn9TzcDg9uh2f0neJQkp/Eb79+OjCx7wmjnztFcEAbv+kCyZm8z+Zmf5WU2Xjr/73O/XeckfCD/eF4a28j+RkmhMLYcPz61n7SknTY+13YZ6htY+Fkeu7NNeRzNzJBn3Qj3nWomQ8Px++2KhUKgj4/HR02AoOiKx5+PjaKMC1JR5Ih9j7l9fondA7kczd7melzl5NupK6lny//7E2+cmUZmSmGSLRwNN39bo419rLziHTt3/v3PTHrN5Zm4/T4eAt49aNarjpzIZ0uKWVFE9QO+Y65KmkiYqzf3e/3Ybe7E07IMJv12O1uekLpYgoxiN3uHmWv0QkEAnR12VGrE9/DbjCJIKqO2AO0Wq1l4deCIDwGPAYcDb1XARuBZ4AeJMHjbmALsDu02/vARYIgPAtcDHxzcpsvM93kpA/MgNa32iJeFGevzuf1PcexhWqrt3Y5hwgZR+q6sbt8XHJq0awdfEwUo15N+iSWsI0mKIr8cus+KhokE9X77ziD+lYbQVHEMgvMPeOhG6UM3UzzhPVpAHSqoQr6fWf8aMLHVUWZZPV7J3cYGxRFXviwDqVCwXnr5k3qsaeCxfNSEApSmJ878KD88hXL6Hd6+dFje7C7fLyys4FPnLFgBls5MTp6XTz+muQg//C3t0TSvn795AF6bB6WJnDpYRmZuY4h5JExWMRYvSSTyzbNp8fmkcSJUB8nL31oZJhWrcQbisZIT9KfdH0emcTjxgsE3j/YwgcHW7j/P4cBUKsUlBSlsrQojZWL0vnryxUca4zvS5Zs1tJn95KTbiTZpEWvVbHjSCufOGMBdp+UshJOLZkrBEWRo/UOtlf0UpRjYt0iMx5vyCNDK6eWJAITubM+IAhCAVKqyLNWq3UngCAIW4HtgBe4KbTtXcDjwHeAl61W6544x5OZRQw2oKtq6sOoU2PUa7j5whJ+/4xkBNTa7WTJoNJg1tBAe8FJVoUgjFqtoq3bSUObLa4KPlEa2+0REQOgrqWfX/xzP5D4gsBwRDu6h/0YEoVez8BDXqcaarY2nvJig4kWMsTBCdknSHOHg6ZOB+tLs8hKTfzOhk6j4ts3rI5ZptWoyEg28I1rVvB/f/s4Yow524guW3egqotTFmcAcChUqjFnDqbMyMjMFgb7WYQx6FQU5QytFiIUpvLr2zcTCIr85t8H0KiVfOGyZfzwsd14vAEMOnWkEoqMzEyxeF4KC/OT6el3c6RO8r4w6NQcrunmcE03T75dFbN9klFDcW4SB6q7OGVRBp+/tJTOPnfk91G2IJ09Fe309HtwhHzDzJqJV0RJNHrsPn73fAM+v9QXq293Y22wsUGQItFls8/EYMx3VqvVenPo5TvDrL8PuG/QsiakCA2ZOcKKBelspZLCbDMNbdKMcdjka9WSTD59zmK2vlnJYy9XUFKYEhkwtfc4eX2PVJosM3X2VM+YTNpC0Rg/eHQ3uaEZnOvPXcKycfpXNHU6yE41oA5FwxyqiXWhfjHKjJXE0gDGTPTsVWefm0AwOCP1wuNR0V0Zea1gcg1UlYooAYfJrV5yoFpKyZgL5UzD1QLsLt8oWyYmO460RV5XNvZGhIwwE/UukZGZKIFggOdrXkGv0nNR8cldYC49Ob4YbdAO32VONkui9o9u3RBZlmqWojBVSoUckSGTECgVCr71qVWAVIXEoFPT2GHnqXeqOVjdhUGnYl1JFhefOj8iWLR0OUg2aTHqNRTqB6J805Oka77f6aXDbUcU51ZERn27OyJiaNUK0pO0tHR76LZJ/Q7Z7DMxkO+sMuMiO83IH791Jhq1kjsf+IgemwdfYGDAdcYpeVQ397GrvJ17HtnFN689hSUFKbR0SYP4VIvuhGpYzxXCf4/9lZ1jFjLcXj9Pv1PDm3sbWVKQwndCs9WHa2LL4Ua7TAcneVZ/ujhjZR7+gMibIXMpp9ufMIO78u5jkdd69eSWv1NOYUTGh4ekMOl5c6AahlGnRgHsq+yku989qyomNHU6sB4fiKBq6XLiDwRxRRkJps+i7yMzNzjQeYQ3Gt4FIM+czcrMslH2mLsoFQpUSgWBQdGA4xUjUi2SkNFr92LSx6Z5XrSx6ITbKSNzIoSv53mZZv7rmpX0O72Y9RqUytgJmtz0+H32cIT2j/8qBdtrCoswLZ/9/ftAUOTR15uoaxvwv1i3JJnmbqn8+wdHpee3ST87I57nGrKQITNuwiUbL1hXwD/fqsJiHHhA6zQqvnT5MpxuP4dru3nug1p8/iDVTVI4/pWnFc+qMqBTjdMz9hnlR14qZ49Vqs197HgvfQ4vySYt9W02zAYNq5dk8t6B5ph98mapaJSbbuKG85bg9vr58FArbm8ASwII/UExiLVbCr+8ZdkNFCUVTOrxpyq1xO7y0dbtJMmkjZRRns0olQpSLDp6bB7ufOAjHvzWmegmWEp2uunslaqSrFyYzsGaLvZXdfLFX7wTs82mspwZaJnMyUyrYyBK6EDHkZNayABJhOjsizXyG6+QkRKK0ui1e5ifa+GsVfkszEvi1GU5QwaLMjIzzWBfu9HISontlAV6sjHPgYiMPoc/RsS4/bICclJ1VLV6qG0d8Lkz6mZHn2OuI8fFyEyYc9bO49oti/j8JaUxyxUKBV++YhkgRQdUNfVFMhwspsSYVZ8J1pZkDVnmcPupbu7j5R31+AMjpxLsr4pNIbnj9x/wxV+8jdsbYH6OhZsvKuGMlXmR9eeumcclp87uWR99KJTXNajs3UzR4+7F5rOzJmsla7JXTvrxVcro1JLJEzIO1XQhIpnyzhUh8etXrYi8fvqd6hlsyfjw+KQKB2UL0ikpHCoqbSqTBzky00+roz3yutneMoMtSQzSLHH8j8Y5cFm9JFP6f3EmapWSGy8Q2Lw8V/59y8wJVi3O4NvXr+IHn1snLVB70atmv5Bhc0n9zfVLkrj53DxyUqV7gVAQG80qCxmJgSxkyEwYlVLJhRsK4xoHGkKh34M5mU3svnBpKT/94ka+f/M6bruyDIUCnB4/v/rXAf79TjVH63pG3D+e0OEPSIPd5JBAFM5ZBLj+vCUJ4ysxUQyhB4XbGxhly+mhJ2T0maybGp+JJO2AiZwoTo5HRlAU2bajHqVCwYbS7Ek5ZiJQlGPh9k8uB6CudfaUI/SErmW9VsVXP1HG/964hg1LB87LWafkz1TTZE5S3H4Ph7rKSdensTB5Po32Flx+10w3a0a5/rwlJJu1MYLpeA071wiZfP/mdVx79qLJbp6MzIyjVCoQClPJz5Qif4M9OfzkTxXUtvTPcMsmTlWzk4deaQIgPUnDoryBMYteqyQjSYpAT7No0GlkQTIRkFNLZKYEhUJBdpoxptzoqsUZJ7WQoVGryA59/6IcC397RY3D5YtEG9ic3mH37R9hHUBW6LiDc3pnO4kWkfHrvQ8CCgRn8QAAIABJREFU8auVTAYZhgG/lOAJCBl7Ktp5aXs9Z63Kw6BT09ThYHNZTuT6myusXpJJilk7q6qXhCMydBoVRr2GhXnJFF+WxM6jUmh/uFMoIzNd7O84hDfgZUPhGvxBP9V9dRzurKAkbTEW7ez31JkIhdkWfn37afj8AyK6fgSzz+EYXOFERmauoVIqUWv9+L1qfAGR+lbbrDQVb+v18NgbA+nZRVmxhQkUCgW3X1aI0xPAqFPNmejWqUQQhDuATyFVNL3RarXWxtnmFWCH1Wr9gSAItyFVPg0CzcANVqt1xA6eLGTITBm3f3I5Xf1uFuUns6+yg3Ulc2c2eDLITTdR0zygXDvcww/WG6JmnD93UQmPvlwBSOH1GrWSJQVSOaiz18zjQFUX125ZOEWtnl7MBkn9/ueblRTnJg0p/ztT2LxTEwGQoU+PvBZPILXk9T3HqW+z8dL2eox6NUqFgks3z5+EFiYe2alGrMd7ueVnb3HJqUVcdWZiXvtBUeTRbeUR09Xo0shKhYLPXiDQ2uWUqxvITCtuv5u/lz8JwIacNVT2SGlajx3dCsDXT/kiQtrJG1GgUQ/8Tg1yKLmMTFxyVtbQ1abC1bAQh3t2VhPrtUt98CSjmq9dXoBBO/T3rlYpSDLKz+ixIAjCPOB64FTgLOBe4JpB29xArBbxGvCQ1Wr1C4LwEHAV8MRInzO7485lEpq8DBPLF6Rj0KnZVJaLRi1fbtEsX5AWU1XEEVVKss/uiUkl6XNIERk3X1TC6VE+GJkpepYVp0U6W0lGLd//3DpK54+vpGuisqE0mxUL02nrcVHfNrPpA32eAdFpKvwxANINA54J8SrOHOup4qtv3UVNX/2QdWF8/iC1LdLfqrPPTUObndKilEjJ0rnGZy4QIq9f2j7832Wm6bV5IiIGMMScdMuqfD597uLpbpbMSc6Lta8BoFaoyDCkxUSFAbQ52+PtdlIyuPKIjIyMREDfhTlNmjh3jjApl8g43FL01Tkr0+KKGDLj5hzgdavV6gfeBDZFrxQEIQ1J6IgIFVartTokYhiAJUiRHCOScLJSaqoRtXr2XUCZmXL44Gxlps7d565YzpVnL6G2uY8fPLQDhzfAMx/UkmLR8fjLFZQtTOenXzkNAKVG6kzmZFnIzLTw89tP40BlJytLc+Z8eNuGslwOVnehN2jjnqvpOn+ZWHjyugen/jOKhv+MzMxVbF4ychvKa7uH+KmUFKcn5D1qMto0+Bjp6eaENNNzBWKFqQWFaWTO0qpCYRLxmpIZG+Fzd1vmDdzGDVHLT2HTKPeYk43vfW49TR0OVpRkJ8TzVv7dzV7m6rn785U/43ibja/sf4ugQoEXBTsPt3DBxvmYDOMTAL1eLzabHpVqeseCh+olk+OMVD1mc/wS6MMtPxECgQDp6Wa02sSIOJ5EsoFOAKvVKgqCEBQEQWu1WsPixM+Be4Dl0TsJgvAn4ErgOeDZ0T4k4YSMnh7n6BslGJmZFjo6Zo/ZnMwAiXDuzBopUuWtPcdjlh+u7oq0raPTAYDf46Ojw0amWcu5q/Lo7LRPb2NnAG+oRG1nl4P2dikqItyZnM7z95fDj7Ov/SB3b7iTHNPQCjSTxVffuguAQks+3173Dd46/j5PV77AHatv49mqbdT217MkdRHfWPXFuPv/+dmDAFiMGmxO6W+nUSpm/DofzFSdu6q6LlLjVByYaZpbpWt347JsLlxfiFoMJtw5GQ+JcO882fnlnvup7a/nlMwyvrD8xjHvl5lp4VBdFT/eeR8AZeml3LbyczHb1PTVcd/HD3B+0RauWHjRpLZ7trEg28yCbHNCPG/l393sJfrcvdP4Ia2Odq5bcuWExLGt1mfQqbR8ctGlk93MceMNeLnj3e+xyFQKFNHV6+Lnf91NbUs/bpeP89aNr0y93+/DbndPu5DRY5PG10l6BXa7e8h6s1kfd/mJEggE6Oqyo1bPvoivUYQ5DRDt1K8ILfMKgrAFcFqt1o8FQYgRMqxW65cEQbgduB/YAHw40ofIsf4yMjPMSGp1MGTeGTZNNeoTTnuccrShEHyX18/dD+/ie3/ZGWPANha6+tw8+37NhE1DA8EAFd3HSNenkm3MnNAxxosYSi15uvIFAA53lkeq0ATF4b9/Z69UbWB9VIWSJNPse0COh3NWz4u8rm7qm8GWDI/LK117uekmCrPn5qyczPTiCky8U72n7QAAq7JWDBExAPQqaebR5Z/8jruMzMlMv9fGv489x/tN23n48OP8cs8f8AXG5yvxQdMO3mx4b4paOD7sPmmiLdkg3TOcbl+kcknY3Hq6EUWRpz5o45fP1PFx1diqqDjcAdIsGlLNc7u/NI20AekAgiAoAI3VanWE1l0LfFoQhFbgt8CdgiD8KLyj1Wr1Ae8Anx7tQ2QhQ0ZmhtGqlahV8X+Kt/3qXepbbewIVTQwjzNEby4Q9hLosXlo7nTQ0uXkg4MtY96/urmP/37wI57/sI4DVZ0TakODrQmX301pujDlocXfXX9H3OXVfbVU9UqGzyNVNHG4/RTnWmIqBKWaEy9CYTL51LmL+OonJFG/vGHkMsYzhdsjdejGW8JRRmY4woMftXJ815QoihzpqkCpUHJDyVVxtzGow0LGyV2GVUZmsqjprqe8+xj/88GPI8v2dRyitr+BDlfXiPu6/O6IqBgIDogDJ1LdbLJw+KSJNoveiFatjDGuF+N4fU0HXr/I/hobvXY/Fccdw273/uEefvB4NXaXH7c3SJJx9lkbJDDvAecLgqBC8svYLQjCjwRBuNxqtd5mtVqzrFZrDvAN4JdWq/UeQRCKo/bfAgypcjIYuUclIzPDKBQKTAY1ffahnjY+f5DKxl5USgWBoEhGsiHOEeY22lDqTfTf52h9D1uiZuFH4s09jZHXE43ICBveFZrzJ7T/eMg352LWmPAF/TGdlGiDT7Ui/q3b4wvg8wcxGTSsL82i1+4hyahl8byUKW/3TKJSKlm5KB2tRom1oXemmxMXZ+ja08smYjIniMvvQqVQ4QjNhPqC47uv/fvISzTYGlmaJmBQx3+m6ENChts/emnjoBjEG/BG9pGRkYmly9XDPdt/Nuz6JnsLeeacuOtcfjc/3HEvoijy5RWfizHkdficM1YiWRRFXq1/mx6P9My1aC0Y9WraoywCvP6ZEVo8voHPdXmHjwp5da8kIP3s33UAmOTKRJOG1Wo9JgjCVmA7kmnnTcBdwEghqb8RBCEfEIEK4IHRPkcWMmRkEoDlC9LZcaSNrFQDi/KTqG7qx2LUUNHQS5/DSyAosqx4blQiGS/akPlvv3NAyOjsHXu4szNKvHBOUMh4te4tADIM6aNsOTlolBp8QR8dztgIkguLzuaV+rfwi/G/R7jyjVmvwWLUJmwp0qlArVKyIDeJioZevL5AJCVpvOwqb2OPtYNbLi5Br528R6QtdP2ejFFVMpPH0S4rfz70N3zBgVB0zxjEhjBdrm6ePrqNdH0qNy69btjtdCotChRxU0teq3ubLGMGp2Qtx+lz8rt9f6bH08dPNn0XjUq+vucy7zZ+RI+7lysXXTzTTZlVVPXWxLw3qY3cUnYDT1e+QLOjlceObmVdzqq4+7Y62rB5JX+WPx58lNtP+XxkXY+7d8aEjLr+47xQ80rkfZo+hV577ESCb4aEDLc3SsjwBCPLfIEgFoMaURR55ePYKBiNSkFJwew24E40rFbrfcB9UYu+FGebx6JeXzHez5BTS2RkEoBbLi7lz/99Fj/5/AZuvqiUH39+A9edLZVi7OqTOpIn60xu+Ht39Q90qDv7xh7uHC1euEdQ5ocjKAZpd0mCQnFy0bj3nwgalRpf0E+zoy1muVFjxKg2DJklFUWRoBikM3StJJvnnPv1mEgySd/bMcHyb6Io8sfnjrCnop0dR9pG32EchI1XLcaT89zInDiiKPLXo/+MiBgpumQAKnoqcfrGdk880HkEURQ5v2jLiAMgpUKJTqXDPciHo9HWzHM1L/PQ4b8DUvnW4/Zm7D4H/6neNpGvJZPgiKKI2+8mEAzw5LFneb3hnTFfbzISNf1SRGWWIQOA9bmrKUlbzFWLLxt133DqBkh+FEe6rJH3ne7uSW7p2DjWU8Wv9kqT5TqV9EzLNKRzwfoC0pMGUlm9M+SR4Y763LZeLz5/kD9uO87P/11HIChicwX48Gis6HL39QtYtTBpupsqc4LIERkyMgmKKWTsGR6cGiZxdng2kZNmRKVU0NQxkOfocPtHrVXu8vhpaLNR2zxg9PTS9npKi1JZOn/s0S0v1bwWea2dptlGjVKDLegYkp+uVWnRq/VDZkl/t+/PHOutJtu+EUihKOfkNJM06aXz43D7JlS5ZI+1I/I6bLAbJiiKHKjsRChMHbfprsvj57XdUlWiJKM8Yy0zMTpd3RFjPZAGRSaNkSZ7C/s6DrI5bwMg5dBX99WyOGUhIiLN9lbyzbkoFAr2hkw+l2csHfXzDGo97kH3mg+ad0ZeB4IB9rcfjrx/t/FD+j39XFR8Lvnm3BP6rjKJgSiKPFHxNNtbdrM4dSDC77itCSFt0Qy2bPYgiiJHOiswqPV8b8O3aLA1UWiR0lRL0qQJqxxTdtx9g2KQv5c/CUhRHA6/MyYK4uHDj5O+9msUJY2vMsiJsqPlY4JikCJLAbeWfYbqvlrmJxVSfLaC685eTGevi7v+uH3GUkv6HbECSn27m85+SQDu6o9vrKpMgNLKMuNnTL0xQRBSgHIk91Ar8A/ABLxotVp/HNrmDuBTSHkwN1qt1lpBEHLjbSsjIzM64Wom4UgE/Umau6fVqNiyOp83Ql4XYb+Qzj4XRQWpw+730AtH2R/H3PODQy3jEjJeqX9r/I0+QcKpJf5Bue9apQa9SkevZ6AyR1AMcqy3Gl9LMXXHJS+MNMvJmaseFhhGE7niIYoiW984Fnn/4aEWrjpzAZpQatOTb1Xx2u7jFOcmcfdNa8d0zNZuJ9u212MJVY1RAMlz3HhVZup4vuZlQCrN3GBrYkvBaeSbc7ln+894ouJp8s25zE8q5B8VT7Gz9WMumn8u6YY0Hi9/knR9GmuyV1Lb38Cq3DKSdaPPPOrVOvo8A0KwL+Bjd+u+yPtHjjxBnze2IsC+jkP4RT9fXjG0EorM7KK2r4Hf7vtTJALoWE9VZF2DrVEWMkYgbHKpUCio7W+gx9PLGUUbUClVFCcXxmybpk8dNj2s0dYcES9XZpbxUcuuIds8Vfk831rz1Un+BkNx+930ePrINWXT7e5BgYI71tyGRqkm3RDbF9OEUjtnQsjw+ILsrZbuSykmNb0OP+4oz4z2Xi/JppNzYnAuMtbUkv+HJGAA/Aj4PbAROE8QhGWCIMwDrgc2Az8E7h1u28lquIzMXCecUtFjkx5wyaaTNyT9+nOX8D+fWc1lm+Zz0UapExCOVIlmf1VnpKLJ4PSTWy8pBaC9Z3whsVqlNAhdk7Vy3O2eKBqlGn/QP8TET6fSolfrcAc8kY5SOHfWf1yIbKfXnpxZg9ERGWOhrceJJ5Ru1NXnptfuJcmoYV6mGYfbzweHWvH5A3T0uiIRFbUt/TFmZsMhiiLf/fMOPjjUwss7GgD4xVc2oVGfnOdGZmJEu/7vbT8IwFWLL+dnp93DisxlpBvSKE6SUt62VjzDD7ffy87WjwF4ue4NHg/N5na5u3mt/m0ALhPOHdNnG9VGXH53RFB9t+mjmFST/R2HIq+vL7kqUunkuK15Qt9VJrGw9lTFeLFE82z1Npy+0e+DJyOiKPLT3b/hoUN/IygG2Vb7OgCbCuML4HqVDk8gvpBR13888vr0/I2R17lRERyewFCj+Kng6coX+MnO+6jorqTT1U2S1oxmmIpJ2tBzbrpTS8ob7Pxkaw3HmpxkJGk4e6U0aRXtmdHW64mYgW4QpPS84uyTz0h/rjBqj0oQhDMAJ1AXWnQOsM1qtYrAttD7c4DXrVarH3gT2DTCtjIyMmNgcJnP5Qumx2gyUVk8L4VPnLGAwiwpbaKzd6gg8bunDvLItnKaOx24PLEP0M3Lc8lNN9LWHb/zVd9qY+sblfgDAw+8oBgEhQKDWs9nS6+dxG8zMuFyioNTSPw+FZ1VubhrBXZbWwFiojPCaLUnZ4hkOB3L4Ro9IqOly8H//GkHt/3qXd7e1xQpcXzu2oKI6PX3V6185Vfv8ZcXj8bs29ThoL7Vxu+fPsiruxriHv+pd6pj3m9enkNa0skZKSMzMXo9ffz3+z/g13sf5GDHkcjyhcnzY/wtblspRT802psjfj7DkW/OZVnWkjF9frYxExGRdmcnvZ4+ttW+jkljZGNO7IDsS8tvYnPeBn5x+g8pSV1Mr6dvTNVOZBKbjtC1dNH8AeErTT8w8/56w7vT3qaZwBvwDUmxGgm7z0GTvYUDnUd45PA/KO+WIv1WZJfE3V7yovHELVVa1y89X75Q9lkKkwYqtUWnbnmnQcjocffyUctuAP597Dl6PL0UWIav4qbXqlCrlBGT6+mipceLCCzMNXDdGTmRSZ3oKibtfd7I+3SLhjuvKuJTZ8avGCOT+IwoZAiCoAPuBn4QtdhotVrDT6gOIDv0rxMgJFoEBUHQDrOtjIzMOPnKlWUUZp+cvgeDCXsf9DpiH5DRyv/LO+pxe4cOZrNTjTjcfuyuobNMv33qAK/vOc67+wdmE3vcfXgDXpamCdPqxh+OAnm57o2Y5ZU1XtpqUwi0F/GvN6WBckTIUA18J+1JGrxjDEVkOMcQkVHdNBAS//dXrTzznuQqn5tujPEYCQRFKhulv/Glm6SZ798/c4gfPrabfZWdvLKzIW4HtKHNFvNeGCENSkYmHtbuKlx+F1W9tfzp0F8BuGXZDUNEbpPGSOYIFZVWZAwEw67OWjlk/+HINErH7Hb38GzVNjwBL5cvuJBrhSvRKNUY1AbOmreZFZnS8RUKRSRlJdrLQ2Z20uHsQoEi4ucAkm/K+UVbgIFowLnOb/b+kW+9dw8N/Y2jb4z0ewmzLxS1tCZrJWpV/OgFvVpHUAwOicpw+z3sbP0YvUof+Y2FyTJmRl6Pt/zyeHH6nPx0928i71tD5ejLMkqH3UehUJBi1kYiiqeLsEBx/qp0ctN0ESHjgyMD5+RIvYOt70oTQTqNkhSTBpP+5EzdnguMliT0P8CDVqvVLgiRsOXoLrIi9F4DBAYt1wyz7YikphpRq2ffBZWZKQ8yZyuz4dydtb4Ig07O6QNw+KVBoyp0nwifv9rmgciEfVWduAaVWs3MtDA/P5n9VZ14glA86Lz7AtJxO20eMjMtHG2v5Cc7fwfAwqzCab1OTMb4YY6K4MCMvtsbIDPTgr9X6igYNDpcoWiSrGwTqYbEv64n+2+a3yf9LUSVctRj+2mJeb9uaTYFWRbO3jAfrUbFqctz2X6ohRsvLmXH4RZy081cduYiXvxIcp+fn5uEUqGgprmPg3U9nLt+oKKNKIocqetBq1GxuCAFa303G1bmkZkxM2XyporZcO+czZRbKwA4a/6pfHR8D6cWrOGCZZvjChFf3vAZXq18l11N+wH45NILeeaoZAq4trCM0pwF/OvwC1xQuhkY27lL75VEiVpXLbvb9rEwtYgrVpyDUqnkH9f8Pu4+qRYLtILBoiIzVb4+poLp+N31e+xU99WSqk9m3cIy/l5hwOlzoVTC5WVn81r922h1qoS+B9g9Dv64+3GabK1cs+xSTi1YPWYRL0yHo4t6m5Te8VTNc/z0vO+MuH0wGOQv5W8PWX7reimiM97fa2FmIeXdx7CpeijIHIiW+v5bDwFg1OrJzkqO2WdR9jy+lvU5fr/zUdSqEzsPwWAQa1c1Tf2tZJszWR4VOSKKIne99jscPicrsks52FYeWXfG4rVkmIb/3Kw0IxV13aSlmVCpxp5S6fV6sdn0qFTjHwsGkc5vSrIBs1lHekooBdcVP8UlOUmH2Tz2SMnxbDtWAoEA6elmtCfrDNQJMtrI6Grgy4IgPAAkA5cDfkEQ9Far1Q1kAK1AH7AAQBAEBaCxWq0OQRDscbYdkZ4x5B4nGpmZFjo6bKNvKJNwJPq5+9onl9PS7cTe7+LkmPsYHYdNSinpC5mg/ufNY+yv6iS6fxLP7LGjw0aSQbrlVdR0km6KjbBQhfZ3uXx0dNj4487HI7nhqYq0ab1OgsNEY3Z1S5EGCp0Dt9fEnuqjvFjxJmJAiccTRKEQ0SzaS3vnKvz6xPZimIrfns8j/X3aOx2jHru5fWD9775xOuaQuW5fr/QMuun8JZxelkNJUSpnrZDCeIOBIAvykijMMvPZCwS2vlFJTXMfv/3XflYWDxjIHjsulXXz+gL819XL8XiDaEQxoe814yXR752zmVZHG76gn73Nh8k353LNgk9wVfEVKFDQ2Rn/SZCjzOcm4XqMChMfNu/k1PRTcRR5MWtNlFmWo1VqOPWsU1G41GBmTOfO45SE0Vcq3wHgygWX0NU1SqSFTxp8tHR2Y/LHDr4CwQAq5eybqEokput392GoOo1OqcPTL3LHqtt4qvJ5yjJKcduk66LL1jepbRFFcdxCw0jHuv/Aw5G0jt9s/wvHWs7lkgXnx92+sqeGN4+/y2dKr8WsMUWO8eu9f4lsU9fTSHNrN+6Ah6NdVtbnDBVGavrq2ddymMUpC7h0wQX8eu+DrMlaiejUgCn+7y5HIz1f9tVXkKkYSBkp76iU1huyh+yn95spSiqg0DKPZkcr7e39E/7b7Wndx6NHt0bel6QuZnHqQi6cfzYdzi7qextRK1RcMf8Srl98Dd/54EcA+O1KOpzDn3+zXk1QhOr67nFVEfP7fdjt7gkJGfZQmfOgz4fdLmLRwcVrM1AoJKP4UxZYONJg5+kPpagS0e/Hbh9b2pDZrB/ztuMhEAjQ1WVHrZ59Fc0SQcgcUciwWq1l4deCIDwGPAZ8AbhIEIRngYuBbwL9SILH3cAWYHdot/fjbCsjIzNGVi3JZNVMNyLB0EbcsCWF/bkPaiOVXQCWzEvmWGOsb4QhVPElI1lS07v73VQ29vL6nkY+f0kpWo2KgeQAkaAYpM05UIpzSer0urOLxKYqfGPVF8kyZvLQM1L6g0LnJugx8fNd96NQBgnaMhBFKFrspj21A39wZmq3zzSpFh0K4EhdNwA+f5A/PX+EM1bmsmJhRsy2/aHUpJsvKomIGNFoNSpKimLTQZRKBd+7ccAf4KKNRbzxsRRu/IV73+bK04u5aEMRx9ulwWZehgmVUokxwUUlmcQgKAY5bmvi3j0D0Q7hMqlKxdiuoWuWXMHViy9HoVBw+cILY9ZpFOOL6tNGGfnpVbqIqehI6FXSgGWwp8DLtW/wWsM73LPhTlL1KcPuL4oi5d3HKEyah8PnJMuQMWmDW5mx02iTItZuXHodAHnmHL6+6ouAdI6UCiWOSUwf2tO2n8fL/81nSq5mbc6J93pane0RESPMtro3OG5v5kvLb4q5pkRR5Df7/gjA/fv/wrfXfQN/0M+r9W9T3VfHopRiCi3zeOv4+1T31fFc9TYabE3o1TpWZpbFfEZ/qMrPioylLEopDl3vI6cVhquY1PTXR5YFop7hn1061J8r0yA9z5J1Fhpsjbj8Lowa46h/l8Ec7iyPETEAKnoqqeip5Pyis2iyS6m2ly64gBxTlvS6+AL6vbZRRcmUUIWuHptnQuXQx4vN6edQnfTs1Wmk+6VSoWDT0tj7TUbSQOSD7iQ1Rp9LTOQM3gV8HdgBvGW1WvdYrdZjwFZgO5KfxjeG2/aEWywjI3NSow2llHhDuZCDvTCWLxzIFf/CZUtZX5rFXZ9eDYBeK3XM3b4A/3yzkj0V7dS12uixebCFlHyPL0iTvQUREa1Swx2rb0Ovnt6SmZ2u7pj3xyqD7Njfh9vrR6lkwA8jIP0tRL/0YDaZJQFkcNnWkwWzQUNRjoXOXjeiKHK4tou9xzr4zb8PxmwniiINbXapk1M2cZOvVIuOmy6U0i4DQZGn363hT88fiQgZ4XUyMmPhqcrnY0QMtVJNWfrweejDMVkD/2hfoBxT9piOqw9VLnnw4KO8ffwDyTAZeLH2NbwBL5W9NSPuf6jzKPcfeJhvv/9DfrTjF5HIAJnppdHejFKhJNc09P6oUChI0SVT29/AvXt+T4+794Q/782G9/AFfexs3XvCxwIifhZZhgwsmoGUvkOdR3mvaXvMtsd6BoyZG2xNtDs7eLZ6W6TaSI4xi9I0KeXj9/sfosHWBECHqyuyX1AMcqTLyu42KbXLHDLjzTZloR3FXytFl0yqLoXavnpEUZpIeb9pBwCbcteTpB2Y9b5r7de4Zdn1GDVS+ml4Xb93/JExz1W/zIMHH428Py2qKgpIRqONdknQijYXvaj4HK4Trhz1+GHxYrp8Mg7WDUSradTD36sykgfOh06uIjbrGbM8b7Vab456uyXO+vuA+wYta4q3rYyMjMxE0YaU9nBERrQbNcSaKiabtHz5ioEZE30omqO8roe6Vlto/wAPvzRQlcLl8VPVWwvAdcInWJRSPAXfYmQ6ozpIAM+8JXXKctONaDXgU0nfXfTpUWh84JcezDqtAkRocbSRZ04sF263341GqZny0HKLUUtQFNld0U4gMNSEE6C500Frt5M1QibqceTuxuPMU/JRq5Q8/JKUO7y7QgpZVQD5c8wTQ2bqqO8/znuN0gCryFLAafkbWJ21ctpF1Gi0yoGZy+hyjyOREjL7BEmY2d6ym9tWfC6yrNkeP8NYFEW2Wp8ZIlzsaz80ZIAlM7UExSBN9mayjZnDDsKTtBa63T3U9x/n4/YDnFt45gl9Zris79FuK7V99RQnjx79MxINNumZeePS6yhOLuKrb90VWffksWcpSy8h3SClA1b0SCkcBrUBl9/FD3f8IuZYSVoLi1KK0aq0MRVC3mvczoGOw9xQcg0Ntkb+evSfkXVG9fjKeRYnF7K3/SCdrm6qemvh04ExAAAgAElEQVT4d+VzKFCwKW99zHZFSQUUJRVEtU36vfV5bOSM8TcaZkfLHswaE19acRMmtRGNSkOzvYU2ZwcOn5N2ZydNESEjb1zHhihjdvv0CBn9TmkCR0olGV7IMGgH+iDhyA2Z2Yt8BmVkZGYVapUSlVKB1xckEBRjyqX+1zUryUwd6EDotLGD5vD7sIgB4PEGYmYM3N5AxJV7pPJiU8m5hWfEXe72BiQhRyU9sL3VKwAQA5Im3eaRwkAfOfKPaWjl2Onz9HPPRz/jocN/n/LPMoZKsP7xuSM8NKhsKsDfXrVy98O7gMkrabx5eS6PfOds7r9j4LzlZZgibZE5eXH6nJGohHiIosiHzTv5zd4/IiJy+8rPc9e6r7Epb/2MihgQG5ExP2rwNBLL0ktIjwqlb7K38Gz1tsj746HZ7MEc66mOG33R7emJs7XMVNLp6sYT8DJvhMHrqqzlkdfdJxiR4Q/6Y6IQnzz23JBtety9PF35Ao8d2Tri7ylMg60RpUIZGYBfufBiVkZV76nuq4u8brRJz82Li8+NOUaKTvJ4KbDko1Vp+ebq22LWd7m7qemr54WaV7B2V0WWW7Rm5ofSRcZKWLip7a+PlFC+vuSqSNrJcISFw3hl2OMhiiKiKOL2e+j32iiw5LMgeT7ZpizS9Kl8a81Xub7kagD+Xv4kBzuPYNGYSdaN3wshOrVkOuixS5GqK4rHPoEgCxmzH7mXJSMjM+vQapR4fAE8g9JK9FoVScaBznc4AiPMYGEDpIgMry9ARrIem9OH2+vng1BYZ9ooua1TRa5Yxkqvkb32d1EmDXTwbE4fKUlKPFkNBNqKEN1GRBHEUESGS+wf7pCTypEuK3mm7BFz3aM50HEEh9/Joc6jdLm6IzNhU8Fo1X3e2TcwkCopHFv7J/LZxXlJI2wpM5exee3sbttHcVIh9x94hBxjFteXXEVdfwP9Xju9nj4uKNqCVqXliYqn2d9xCINaz61Lr6M0fcnoHzBNaKI8MlZnrRzTPkqFkv9Zfwd3vncPAAoU7AmF24M0gPQGvPR5bFT0VLI5bz1KhTJSGQIks8GKnkqMagPd7l78QT9qpZpDnUfpcHaypeB02TfjBPEEvGyteIYtBZspSipgb/tBnql8kVvKbogIBSM9/84tPJPT8jbyrffupsXRNqE2iKJIdV8ddf0NBMUgJo0Rh8+JOEio6Pfa+MnOX0WiNi6cf/aI0Qddrh5q+urJN+dGIkrOKzoLgJq+Ou77+AH+evSfrMhYhkappq6/gVRdCqdklvFh8y5aHW1kGTP42ilfwKg2RgTFAks+/7XqS3S4unm2+iUcPskYen/HYUCK6Lj39O+P2c8mmrD/TG1fPd6gNCBflLJg1P3Cz+Aez+hiUoujjUePPEGnq4tbyz4DEPG9iMY0KJqkIGliEzrhiIwDVZ1sXJrNvKypjVDssfnQqBVjKqX6pYvm0dLjifinycxeZCFDRkZm1pFq0dPW44wYNoZRKRUxHVzdICEjWtgQClKwHu/F4wvg9gZIMevw6YI43APHNKgnv9TWWHjy7WrqW23AKpRJA2km/kAQvVaDw+BAmdpKsCcHfDoISJ21oGrqZz6qemt54MDDAPxk03fHJGZEz8I+emQrd6796pS1zziMkOEPBCPeFSD5aWSmjC/8dywYdCpcngBp02BuJpOYPF35Arvb9kXe1/bX83+7fhWzzftRefoLk4u5edmnZkw4HQ5zyFsgx5gVyckfCwa1Hr1Kjzvg5isrb+HD5l14A17cAQ81fXVUdFfyesM71PTVo1Ko2JS3LmKu/L/rv0m2MRO7z8mLNa/yUcsuvvHOd7mh5Gr+af0PATFAg62JNH0qly44f0KDRhn4qHkXu9v2cqSrnF+c8UMePfIEQTHIfR/fzzkFUmSZTjVyOUi9WkeaPpXWCQoZW61P82Hzrsj7C4rOZnfbPlrsrXS5evioZRen5W2gqrc2ImKAFEExWMjwBf3sbTvAPEteZCJicFoGwDzzwKD8saNP0Ghrwel3sTRdIE2fyt0bvjVimxenLmRx6kI0SjUftezGqNZHhIyy9JIJX48FljzUSjW1/Q0R34sk7egD/1RdSMgYJSqmvOsYfzgwUIHlgQOPAFCaNtTHabBp6FWLLh21HfEIR2Q0dTq455FdPPKdsyd0nLHSY/eTataMSeQsyNRTkDkz/TuZyUUWMmRkZGYdZcVpvLb7OEdrY70kGPT80g8a1GrUUlqKVqNiy+r8iJDh8QXRaVX4gyJ2lyQGLE2fOaNGp9sXeR10xoZ0Jpt1dAFKg51gD4guC8WmRVR1uri65EKeqPonetXUPaCjB2D1/cfHJmTYB4SMxpAL+lSxpCCFbTsk9/ebLyph6xuVqFUK/vpyBR8eHsjPv+nCkimZ1b3jmlN45r1qzl49b9KPLZP4OH2uSASCAgWn55/K7rZ9uPxS2ehwHr4CBSIiS9MEblv5uYQckKcbUvn22q/HnbUdjZ9s/m5klj18L63pq+e+j+/nT4f+Gtmu0d6EL7iKgx1HMGtMZBszUSlVJOsslGWU8FGLNND9R8VTkX3CItHKzGUxfgEyY6fbLaXsOEPXpVljihhG7gn9fbWjCBkgeacc6arA4XNiGmfVjLAAEKY0bQkdri6O25q4Z/tPAXil7s3I+ssXXMjzNa9w3N7M2kH13F6rfztizhn+PqflbRjymVqVhrvWfo179/yeQ53laJUazpy3iUuK45dlHY51OatYl7OKYz1VdLi6WJmxjIsGpaaMB7VSTYE5n3rbcZw6J3qVHp1qdDF8ICIjfmpJu7MTt98dI2KEMaj1LI4T9ZGmT8WgNuAP+rh56afH7b0RRqNWYjZosLuk/kwgGESlnJr7nMsTwO0LUmSWh7UnG/IZl5GRmXUUhEIUy+ti86dz06SO1H1f3UxHr2tIWU2FQsGnzllMilmLUR9Kx/D48QeC6DQqAkGRrv4gGmBJysKp/yLD4PYGyErV0eHqQnTHzsoszEmjdN55vNlfQ08zWFpPo6rPhQI4tWAVT9c+Q8YUpW54A172tx+KvG93ddLmaEet1LC7bR+n5q4bkkvrD/pptrdSZCkgKAZodXaMKcd5opQtGPjuBVlmli9IY4+1g8O1Ayk6F28sYo2QOSWfv2heMnddv3pKji2TOATFYFzx4VDnUURELltwIZvy1pGktXD14ssIiMEY48TKnhq8QS8lqYsTUsQIU5g0MUEuXjRbPJ8NfzDAne/ejV8McGruuhgz4BUZy7hl2Q3Dev50ODtlIWMCiKLIkS4rAMlaS8QvYUFyEfX9jfSFBI3RIjJgQMhocbSNyxhbFEVcUSV6Cy355JlzWJK6MEYsj2ZD7hqer3mFVkd7zPL3Gj+KETEA1uesRq2MP8QpSirg9lM+T4u9lfW5azBrTGNu92CWpC7iu+vvmPD+0RQnF1LbX0+Xu4dCy7wxCe3h6Kd4ERmiKPLDHffGLNOrdLgD0mTNtUuujGvmalDr+enm76FUKE/YnNukV0eEjJ5+DxknGAXZ0u2htcfDqoWxqZthf4xU88gVYmTmHrKQISMjM+sICxkVddLg9KKNhVx52gI0oVJaqRbdsHXLz1kjdcxrWyQ/iXB6ik6jQhRF/H4Rtci4QqknG7c3QIpFg9gzSMTIT2LLqnySzQsoM9r4QcVuOvukzqCIVDM9uqMy2fR7bfjFAEVJBdT3H+e56pd5rvrlyPrDneVD0kaO25oJiAEKLHl4gz6O25u57+MH+L/z75ySNioVCm7/5HLe3d/MvEwTRTkW9lg76HN4STJp+cJlSynOGb9xmYxMmKcrX+BAxxHuWvs1zNrYQdDe9gOANGgPh4irlCpUxA4IFqeOnv8+14gn2FT2VOMXpSpMy9JLYtYpFArWZK+METJSdSkRP4ADnUdYmxM7My8zOsd6qmkLGVoHESMmq0WWAgLBYMSvZKwRGQAtjtZxCRm+oJ+gGKQ0bQmrMpdTGBKkVmUuZ3PeBo50VZCsTYq0ZUPOGpK1SehU2iF+EB/EMYm9aP45I35+adqSSEnVRKE4uQiOvw+Mz58rVZ8c1yMjXHEkmp+edg8On4NWR/uIfjyaUUrGjpXo9N6OXteIQsbxdjsHqzvJTtWTrhdRxdFQ7n9Ruh4W5RqxGAeGsP0u6R6SbJSHtScb8hmXkZGZdeRlmFApFdSFxAidRhURMcaKNvSA7XdISn6MEWhAjekEZmlOhEAwiM8fxKCNvT1fumk+nzxjYPCTnRo/jFen0uGKyieeTOw+BwDz/z979x3eVnk9cPyrPbz3HrET3zh77wSSQNhllVGgQKFlt9AFnayWlDI6GW1/XZRZWmbDJkB2QvbOTRw7cbz3kG1t/f640rUVy/Feyft5Hh6kO1/52op07nnPiczkeNOJTuuPNRXz3O6/4/V5uWfaNwHYWbUHgPw4iUr/nbRjTcUcqS0iQZPS6RgDYUZeAjPylIyLlLj262gx6piYPXiFRoXTU1FjMU9tf4ZkayLXSlfwmf/Lxo6qPeTH5pFgVbrfbCnfzr7aQ0BwG1Kha4EODZkRaUxLmHTKbRemzuWSnPOo8Bct3FNzAJfXHVSUVOje+rLN6uNmp403C1YBkBqegsfXHsjoaUYGQHlLFU6Pk2NNJ1hfupmvT7jmlNclkI1h1ptZmNY+BUSj0XDd+CsBpRPH6/LbXJSzgtSwZDQaDTGmaOrsDfh8PjQaDQ6Pk/KWStLCU7hy7CW8dfQ97phyc6c6D6NBToeWs71p3xpjiqa8pRK7247Znwnl9XmDbjIox8/GqDNg1EX3uFB3fxk7fK6qbrST739c1dDGa58eITs5gq8sUgJgv/zXNlxuJVvzK3PjmSMFj7G0pv1zTW2zKyiQEdjP2MvPgcLoJ979BUEYdfQ6LSlxYZRUK8UbTy7q2ROBtltNre0ZGXqdksrpcxuJHaJ/6E9mdyp3FkxGHYasA7iOTwDoVF3beFLbsJvOV+ahG3QGmpw2BoPNqQQyoo2RLE6br6YARxjCaXbZiLfEst//Rc7n8+HDR6G/zV12ZAZtrjb1WMcbSkmIGZxARkcTsmNIiw+jtKYFRKcDoQ/eOPIuABWtVfxu55/U5f8+/BYA1+RdDviC2kYGWjcKwW6bfCOFjcc5P3s5la1VNDttZHXIXjmV6QmTiTCGE2EMZ0rCJNaVbqLcVtHn6S9noh+te5Rmlw2j1kB6RCqFjcfVdSfXQunJlKckq7LPmpINrCnZoC5fkr4gZIZGqa2cIw2F5MeMA8ByinpO0aYobptyU9CytPAUKqqqqGqtJikskWONSseT8THjkGLH8qPYe7sd80jV8T3DYuh5natAUKLWXk9xUwmltnJSwpM4UKdMH3py8cPsqz3Up1o3/TU3P4mCEqV+R3VD+7//uw5Xs6ughl0FNUzPS+A/nxeowQiAxlZ3p2NtONiedVLb5CI1zsTqXXXsP25TW64a9OLf+DONCGQIgjAqZSSG9zOQEcjIUAIZZqMOq1mZjuKzW4kzD8+de7tDCWRYjHr0ccVqIOPk19hx/uz5czI5a5pSjd2oNeDyuhgMgXZzYUYrK7KXEmkM572iT7g09wLeLfyQ6rb24qut7ja+rNhBUVMxoAQ7ZiVN47MT6yhrUarSMwRNGsxGPT/5+kzeWltIXsbwBKeE0anF1co/9r+i/g4HRBoj1MKI0B7QAPjW5BuJMkaod0aFYFMTJjHVn3mRHZnZo31umnAt60s3k9vhi3FGRCqgFBIWgYyecXpcNLuUfzPDjeEYtMHTBxIscTg6TEvMixnb7TEDrUk7n8sZcvmT257B5XVxae4FQO++sANIsWPZXrWbQ/UFNDia+MvefwEE/W6MZoFuPx2D/t0ZE5nJhrItHKw7zFsF73VabzVYmZM8PHWbls9MJzctkkf/uS0okGHrUND8ob+3d64x6LW43F7aHJ3raMklLerjTYcaWLuvntpm5TgHT7T49xeBjDONCGQIgjAqZSSGs2m/8nggAhlGg05tx2n0RPcqtXMg2Z3KnQiLKfhDZoMt9AdDAHOHbA2DzojH58Hj9fS7UNfJWvxTSwLF0c7PXs7EuPFkRqTzwbFPg7a9f93DhOnb03sDdQLumHIzD256nPq20FXWB4PFpOe6c0fWfGhhZGlzt7GlfAdTEiao89PfKniPg3WHAYgwhnPrxBv4omQDV4y9iIKGIqrbathUvo0Gf8eAS3Mv6HZ6hNB7c5JndPoiluFvo3mieXC7IJ1OmjsE31xeF1WtNerzMIOVcEMY2ZGZRBkjODt9Ub+m7LS4WvH6vFS11qDT6NTpV4Eg+3uFHwP0+obBeH8mx86qPRxpKFSX58eO6/NYR5L8uDx2Vu1Br+15jYpAwduONxIC7phy80ANrc8yEyPQajTUNytBsg17y1m1UckESksIo7S6PUARH2WmvLaVLw83UV7n4JzpcWQnWfjnJ2U4XD70Wg1ur4+KeuXz0ITMMA4Ut1DdqPxe9XaKsTD6iUCGIAijUkZSeyFMYx8CGQa9Fo0GnP50RrNRhyVMyYYI9yYOSmvOnghMLbGY9OADQ+YBXMUTmDo2rst9LB3azBr9Hz5dXteABzJsgYwMfyBDq9GqH6JCffBqcSvbXz72InVZIIW8wT50gQxB6M6zu/5OUdNx/nPkHYxaAwnW+KBieRo0jIvJUYt0xvk7A33gbw85OX4CK7KWDv3Az1Ap4cloNVpKmku731gACJpyGGeO5Zg/0+jiMeexIutsNBoNFr2ZlYt+3qvj3jThWl448FrQsn8eeJX9tYc4UCvT4m7lycUPYzVYSQ9PpcRWphZ47W2HrThLLHHmmKAgxqS4/B4VJh0Nbhj/VZKtCSzLWNLjfQL1eNaXbu60bmyI9qpDTavVYDJqOVLSyM7D1fzrI1ld94NrpxMVZuSOp7/A6fKSEG2hvFb53HCixsHeYza0Gg1FlUo2x4yxEXx5WKmNdsWCRPIzwjhQXKQez6ATGRlnGhHIEARhVEpLaM+Y0BodHGsqprq1ltk9rGKv0WgwGXTtNSkMOlo1yh0qnWv4CvUFxmM26lgcP5+kcQnMS5wXFKw4mbXDOoP/A53T68LMwKa329SMjM6F1DrevQvTW9UgRm7UGM7JPKvD+AxY9Bbq25oGdGyC0Fd19nqKmtprBTi9rqAgxqS4fBanzQu5b7QpigZHY5frhcFh0OpJtCZQ1FRMVWs1idbBaad8OrH5p5WkhiVz3fgr2V97iHeOfsC8lJn9CnrPTpreKZABsLVyp/r4hQOvcXXe5WoAA5TphrlRvZ8SEm2Kotbe3nr9hvyren2MkcqsN3Nxznm92sdyUvZofmwe52UtI9oUFbIN8nAw6LS04eGPb7a3bw+3GAgzK58bIixGal12vF4fly/Oxmlv5r2ttdidwVNMOrZXnTImAr1Og9WkpdU/FUVMLTnziECGIAijUpm9GNPkdficJnzWeJ7c9hKgzMH2+jw0OW0kWuNPeYx5E5L4YpeSmqzXaahwloDWgLN1+FqvHi1TMhXMRj1fkS4/5bZ56VEcLmkkukOrWaM/M8LlGfg6GS0nZWR01DGQEWuJoaVZ2TYpxBeMKGMEDXYRyBBGho1lyhzt5LAkwg1WChqUO3w/mHk32ZGZp8zOunPKNyhqKmZCrDQkYxXaBaa6PbL5SZ5d9sQwj2bkC9R1OSfzLNLCU0gLT+GczLN6VNTzVDr+fUxNmMTu6n2dttlXewjdkXexu+1EGiO4bfKNxJpju6yxcSox5mjwJ/T9YsGPiTCGn3qH09zJ709WvWXEtXd2uIIDEpNyYrn9KxPR65TfvRVzMnj10yOcNS2VqbkxFJ8o5r2ttThc3qAa3dFhem6/IB2b3aMWZ4+NMNDqUKatGHRiasmZRlxxQRBGpX21B9FaWtBF1akFzABa3a38auvveWTzE7T6v3h35avLs0kaV0VMjA8pM4bCxiK05jbqGtw4nJ5T7jtY3l6nfIlqtXcfiLj7isnc/7Xp5Ge1V80M9H93DlDBT7fXzecn1lNmq1ALuJl0nT986jsEMuanzFYfp4V37kwSaYrE5mzB5e1cmVwQhorX58Xn87Gjai8aNPxw5t18c9LXyYnK5r7pdzAmKqvbKWbpEaksTps3bFPRzmRfz79GfRyqHbQQrNnZXugzoL9BjJN9TbqCe6ffHrTs1kk3ALC7Zj8NjkbizDGMicoiytR9p5pQrhx3CeNjxvGtSV9X69kI7SyG4bsR01NhZgNh5vbsiuUz0/nV7fOYKSmdVfQ6DTottDk9uD0+dbvocAMZCWbyM9pvpsRGGEI+Fs4MIiNDEIRRx+fzsa/mkPq8ukPRsk1l26jxF70qbi5l/CmKgL1z9D2aYnZADCTFLKO4uZSImCQaS30cOFbH9LzhS1fOSu7+Q16E1cj4rOC5wYGMjK6qxvdUq6uNv+57Ebm+AIBpCZNxepVjhioC17ECfoIljt+d9Rg7qvYwM2lqp22j/HUymhzNxFnEB9GRwOfzUWuvw6K3EBZi6tDp5MNjn6mtg78x8ToqW6tItMRj1iuTsb4/867hHaDQIxPj2rNgNpZ9qdbrCeXFg69T0lzGfTPuGDHp9kMtEMiIHIQMhhvyr+ZI/VHCDWHkxeSyImspHx//nNyobGYkTmFLXD77ag8CSmvW/og0RvDt6d8aiGGfNpKsCVS2VgMMW6Hy3mi1B9/E0Go0JMW0/7uj0WgwG3WU1Dg4VtXe7SQmvPNnj47TTUwGcX/+TNNtIEOSpMXAYyjZGz7gZuA6/3+1QJUsy1f4t/0ucC3gBG6UZblIkqQU4GUgDFgly/IvBuF1CIJwBqloraLWXkdCWBzVLbWUt1Sq61YVfdS+XUtVl4GMMlsF68u2ABBjiqbF3YrH5yEhVkNjKbQ6hj5bwOX2ogEirAamjT31tJiuBD6kt7nt/RrLx8c/V4MYAPWOBnw+H0atIeTdZ22HZdmRmRh0BuamzAx57Ej/nbgmZ5MIZIwQm8q38fKh/wCc1mn6DY5GVhV+hA/lLt9f9r4A0OXvqjCyPbXkUR7c+Cu2Ve7iq+O+omaknWxz+TYAChoKmRw/YSiHOGIEAhmDMRVjfsos5qfMUp+fnb4InUbLsozFAFw45hw1kDEradqAn/9M9/2Zd3P/uocBpTDxSBN4vw0or23pYst2UWF6Wuwe9hS1Z9yGmTvXchHBizNbT66+DFwqy/Ii4E/AA0Ac8B1Zlhd1CGKkowQ3FgKPAIFPQo8CfwTmAedKkjRxYF+CIAhnmn01ygeiS8efS5jByqH6I0HrU8OSAdTMjI7sbjser4dae526rN7RwB93/h8A4SZ/sUzX0E8tqWlswwdMGRvf51T1QOGv/gQySm3lfFL8RdCy400nKG4u6bI6/IzEqeREZXHb5JuwdpPaGmVUiqk+tf1Zqls7XyNhaLm9bjWIAe1z6U9HRY3F+PCpfyeBui9SzNjhHJbQRxa9mdnJM7B7HJywhW7F2jE7rdxWGXKbM0Hg7zrCMPg1JaJMEVyccx5Wf3ZXZkQ610pX8Mj8BwZ8OougtM8NZNI1j8D3b51Wueb5WTGYjDquXtr9++1l85RpJrY25aZSTrIl5OcinXbkBW6EodPtu4ksy1WyLNdLkqQBpqJkW8QCNSdtuhz4RJZlN7AaWNBh+fuyLPuA9/3PBUEQ+qzE/4F1WsokLhxzbqf1eTG5QOe+6h6vh5Vf/o6HNz/B0YZjIY8ZaVY+DHQsTuXz+fD6gu8oDIaqeiWFMjG676mhA5GRsbViZ5frDF30t5+bMpPvz7ybqQndx6oDU0sANpZ/2fsBCgPqnaMfBD0vbDzexZbDo6S5jEc2P8Hdn93P3Z/d36/xBf7Oz+vQKnVu8kyyIzP7PU5heGREpAHwlz0vhCxyfKShvT3jO4Uf8Psdf8br83ba7nTX7LQRprcOeFvuntBoNCxOm0e8pes24kL/XJJzPqDcVBhpwi3+7iRWA89/7yxmjU/sdh+TUfmK6nQrn73mSFEhtxPlic5sPQqLSpJ0J0pmxkKUaSY+4BlJkjZKkvQd/2ZJ+IMb/qCFV5IkI2CVZdnh36bav50gCEKf2ZxKWmK0OZLFqZ3bHiptxyydMjIO1h2m1l5Hnb2+U8YBKPUlZqRMAsDh8uBwedhztIYnX93JQ3//ko+/LKay/tQFRPuitKYFubieqgZ/ICNmIAIZbd1s2bWTf24PzP6O+tjt6/+Um0hTe3vb8BAdUIShdajuCEatQS3St7p4Dc/u+hu1bXXd7Nl7pbZy3i54H2eIL5xtbjs2ZwttbjurCj/iRHMZLq+bFw68RlWHOjhvHlmFu4eFYu1uO58Wr+Ef+1/hh2sf4sNjqwGYlzKLr+dfzfLMJXw9/2pRrHMUCwRGm1023iv6BFDe/148+Dr7ag7yZsEqNGg4O30hAIcbjp7WWUddaXbZzvgOH6ezxWnzeGLxw+TH5Q33UDqZnKMEsJJje15/yXRSK1WDLvR7tHjnPrP1qNinLMvPA89LknQ3cI0syzcBSJIUBqyWJGk7YAA65mJr/MuMJy0LnZfsFxNjRa8f+mhxfyUk9K36sjD8xLUbfdp8bVj0Zow6A8lJ0bx45e/509YX2VCszIOOjYogJSKBE41lxMWHodVocbqdvLHlXbQaLRfmLePDI1/g9rp5YPFd/HrdcwD84aJHqa5W7tQdr7Rx59Nrgs772mcFFFbY+Pmtcwf09dzy+GcAnD8/G4C8MXF9/r1M8SkfGDRGb5+P0eRpQq/Vq18WZ+bk8zX7pby69x2anbZ+/824TMnq4+TYWPE3OIwKao9R3lLJhMRxLBg3lRcPRasZDx+WfMJ9C77Z5b69vW5en5d7Pv8dPp+PE60n+MmSezAblMCb1+vlG289iNPrIiksnrLmSj44tpqksHgqW2pYnrOI2WlTeHzdcxQ1HeeRLU9w++zrmc1CiVMAACAASURBVO4PPHZllfwlbxW8F7TMoDOQk5ZCTlrnjjpnitPpby5L335/rMJRQVx8GPe+/ySVtmq1Nsas1CnctfAGrDtNvH/4M3RWDwmxo/Nn0Jdr5/Z6aHG1kh2Tflpd+9FmsH/2CYzMa/vta2cwfXwSi6alqS1Xu+J0OmluNmP1BYcooiLMhId3LtRr7tD9JNT6gTQYx/d4PMTFhWM0nvLrsdCF3nYteQv4GPgdgCzLLZIkrQEmAJVADoB/GorBv94mSZJZlmU7EA9UnOoE9YNwt3OwJSREUF195kX3Twfi2o0uPp+Pj45/TmlTBdEmJc0wcP3OTl6iBjKcbT6iDNEUeos5fOIEseYY9tceoqqllrPSF3BB2gqk8Dx2Ve8jVZfObZNvpMHRhKdFR2uLksmw60h10LnHpERyrKKJuqa2Qfud2X24SnmdLk+fz+GwKYGY2qbGPh2jqLGYo3XHsegtzEmaQbQ5iurqZiZGTATeIT82r9+v3+dp/we7aRB/nsKpebwe3jyoFL5cnLyAmhob+TESG9qUIrjVzfVdXpvevne6vW4+K16Hzz9F61DNUW5887tMihtPg6OJVnebOh2qrLm9jkFlSw3RpiguSF+BRW/mwbk/4NEtT1HX1sCv1j7L4rT5TE2YSH5s6LuQx6pLAbhwzLlkRqTx930vszB17hn9O3e6/bvndrR/MapqruXdPZ9RaQt+/47QRVJd3YzBo7SOPl5ZSYQnts/ndHnduDxOtQbEUOnrtXtu998BaLU7TqtrP5qcbn93vTUxM5r6uu6LfLrdLmw2O1ptcMDD7VKWn8zpbM/OC7V+oISHmwfl+B6Ph9paG3r96GsdOxKCoj3pWpIty/Ix/9NlQJEkSYmyLFdJkqRDKeL5JlAP3CFJ0s+BpcBW/z7rgAskSXobuBD43gC/BkEQzhC19jr+V/ghVr0laI47EFRg0qQzkuCfi/vgpse5LPdCjjeXADAlXqnhkBOVTU5UNgBTE9rv6kaGGdFowOeDRZNTWL+3HICJY2Ipr20Z1CKg5bVKINdk6HtWWn+Lfb5y6L/+/du4Pv+r6vIYczS/WPBjTDpTn8cWYNQZuGvOjTz35b8GZKqK0DsNjkbeKniPbZW7AGV6z6S4fACuGHsR0aZIPj7+OSW2crw+b7+L8+2vlXlu99/U57dOuoG/7XsJgH21h0LuMy46h2anjYrWKpZlLFanTCWFJXJN3uX8+/BbAKwr3cS60k3MTJzK9flXYdIZcXndvHlkFfNTZrG1Uqn3sjhtHpHGCH616EFMXRSsFUanyA41d+rtDRxrPNFpm0CB4cC2/Z1a8rd9L7G35gC/XvQQ4caRPT2upq2W/f6/s0A9EUEY6TQaDRfOjuf9rcq0QoM+9CSS7CTl34Y5eZEh1wvDJ1Q30xDbfAhslmX5YUmSFgIrARNwHLjeX3uzSz3JyLhOkqRrARtgB24DnpMkKQNlqsjbsixv8Q/mVWCTf8A3+fe/H3gJ+BHwgSzL23pwTkEQhE4C7ePmp8xmQeqcoHUde6cbtQbSwtvTxt8++j5Gf3AjUAi0K5FWIw/dPBurWU+4xaAGMkwGLUaDLqgI6GAJFLnqC2sXxT5trhYcbucp2536fD7KWrpOmos1D1yrVIt/SoHbO/TdYc50z+z6a1DL4ktzL1RrRJj1Zi4ccy41bXVsqdhOQUMhef3o6NHoaObv+14OWjYjcQp5ix7iL3tfoM7eQIOjkTCDle/PvAuvz0usORajzkBFSxVbKrazJH1B0P6L0+YxIS6Pd45+QImtDIPWwPaq3WREpHFu1tkcqD3E2tKNrC3dCIBRZ1RrsZj1/Q/ECSOLRqNRp8I5va6gAsKXj72IVYUfkxs9BggOZBxvOsHRhiIWpy/AoFU+Dte01bKmZCMrspaGrCfx4bHV7KzaqxaN3Vj2JSuyl3babqRwely87S/mq0HDJTnnDfOIBKHnFuRHtwcyupiSkhRt4sdXj8FqEt1wRpIO3UznA2ejdDO96qRtric4FmEDvibLcpk/pvAVlGSJLnUbyJBleSVKdKSjr3ax7dPA0yctK0XJ0BAEQegTr8/Lq4feYGO5kugVuDvbUcduGkadMSiQAUoLvpyo7B7dXc5M6pwuZ9DrMOq1g96WVa/TqK3K+sLcRbHPX255mmanjT+c/asuq9Y3OBrVxwtPChQNNL3/i0NPizae7v57+F0KG4/zvZl3qj+bwdDoaKK8pZLxMeM4N+ts6u0NzE+d3Wm7qQkT2VKxnXWlm3sVyNhUtpUjDYUsTpvPmKhMNpZtwe6xc37WMsIMVqYnTgEg3BjGd2fcidfnxYsPr8/bKVMiOSyRS3Mv6HQOjUZDvCWOWyfdAECrq42fbnyMNSUbmZk0lXePfqhua9GbuWnCtaLl42nusYU/5a2C99SaGADJYUmck3kW52SepS7rGMj4855/0uhsZlf1fu6bcTtajZZPi9eyrnQTxc0lfHfGnZ3O87/Cj4KeryndyPLMJcPSCaQnXj70H3ZW7QHgzqm3dNsaWxBGKmMXGRkAYeaR+fd3hlO7mUqStBp4oeNKSZJiUQIdrwCZALIs7+6wSRkQ3d1JBu/TkiAIwgD58NhqNYgB7V/WO+rYdSDWHEOMufP7X6hlPWU0aDEZdTQ0O7rfuJd0Wg0er1I7oD/TSgC0Gi1mnYk2t52ixuO8VfAe81Jmq9kstfY6Eq0JIfcNZGOcn7WMiwf5zl3gDmhBQyHnZp09qOcaDT4vWQ/Ab3f8ie9Mv21Apj+U2Sr4z+F3WJQ2j0hjOJ8Ur1FTzHOjsxkfO67LfafETyTSGBGy1WlxUwl/2PMeBp+ROckzmJk0Fa/Py4ayL3lNVm6ebKnYTpI1kcpWpe7LOVlndwpAajQadBod/f0IajVYmJ8yizUlG/n5xl8BMDk+n6nxk5iVNA2DbvTNPRZ6J9wQxpVjL1EDGUvS5nONdHmn7aL8HZM2lW3F6VU65xxtLKKosZjc6GyONRUDSgviTWVbSQ5LYkxU6Na846JzONJQyO6a/czwB+hGmgO1svo4LTz5FFsKwshm0Itg9CgT1M1UkiSvJElGWZad/vW/Bh4EJp+8oyRJBmAF8NvuTqIJFN4aKdxuj280di0RBOH0dMn33wHgjssn89n2ExSVNfHmry8ZsOO73F6ueOB/6nOLSc/rKy8asOMLgiAIgiCMBk6nk2PHjqHTKd8F73tuHwBP3zERnfb0a7bq8XjIzs4erV1LurwgkiT9FLD7Z2sgSVIJIPkbgSwFLpNl+V5Jkm4GsmVZfrjDvo8DbbIsP9LdAEZcRoboWiIMJXHtRj6fz8c9nz8QtOy2yTcyNWFSp+tX0FCE3W1nUrxSuLC6tZaVX/5GvfP2g5l3MyYqq0/jqKi2oUUJPOw+WEFq/MAUePv1yzuCnrc53P3+nXxsy2+6rHWRG5XN92bexd2f3Q/AM0t/rWazvHDgNb6s2MFD837YZdbGQKnXVPOz1U8C8LuzHjuj75rvqznI83v+wfKMJWyr3Emjs5l5KbMw60zsrTlArb0egJsmXMuc5BndHs/j9fD64bdZX7al07okayIpYYncMvH6btPhVxV+xAfHVqvPsyIyWJg2h/8cfgdXF1OCHpz7A5LCEgFlfr5eqxuyaR2VrdU8uvlJok1RPLbwp0NyztHodP5371X5TdaXbmblwp8TZQpdUf8n639B40nFPldkLeXj458DSnaHzdXeXeHZZU8A0OJq5f51DzM1fiK3TVHKwD2z668crDvMA7O/Q2ZE+mC8pCC9vXY/XPsQre429Bodv1/6q0EcmdCd0/nvbiAFupYEAhnfviSD+hY3ba0Dnw3bG6JrSWfddC0J2c3Uv+5q4EpJkq4BLIBOkiStLMsPSpJ0OTAL6FFa8IgLZAiCIHTU6q/1kBuVzdHGY0DoGhkAY/0F3QISrHFcOe4SXpXfJNwQ1qcgxpz8RL48WEVynJXC8iYAiiubByyQIZ9oGJDjdNTx53NW+kLWlGxQnx9tPMZ3Pv+x+tzhcahTdapaa9BqtMSZ+96WsKecHpf6uN7RSKI1ftDPOVKdaFYKB46NHsPSjEX8bOPKoLn+Abuq96mBDKfHhUGrD5pSVWor52/7XlancwDcO/129Fodm8u3EWuO5fzsZT0e13nZy7HqLbxRsAqA480nOH5I6Qjxo8V3EUsiP93wSzWoMSd5hhrEAKU7zVBKsibwg5l3q9MHhDPP1eMu5dKcC05ZCyLKFKkGMgxaPS6vm0+L16jrvzX5Rr4o2aDWlgjYWqF0wDF2mPa1NGMRB+sO88WJDdw44ZqQ5/P6vGjQBP2tNjmb8fq8ahvxwXCsqZhWdxuJ1viQ9T4EYTRIijGRFCOKNI9Cazmpm6kkSY8C22RZvhO4E6BjRoYkSZOAh4Dlsiz3qCCdmHAkCMKIFqjtkNQhQyBUjYyuzE6ewQXZy/nJnO/26fy3XjSB718zjdnjE5mT77/T7B78ziX90TGQMTFOQq8JvvPu8bX/+7C9Uqmt1ORsptRWTqI1YUgK11kN7WNscAx8MKcrPp+PA7Vy0B3XwbSudBNvHPnfKds9lrYonXHSI1KJMUdz66QbSLK2BwSuH38VSdZE9tceos1tp97ewAPrH+H9Y58CymvaVrmL3+34U1AQY0naAvJicsmJyua68V/tVRADlC95SzMWsyRtPpoOGaTLM5YwI3UyYQYrP5h5D3dPvZXHFv6UmyZc26vjD4YxUVkD2l1HGF10Wl23BS2nJ7TXs7hvxh2AEmwAkGLGMjZ6DN+cdAO5/vbcpTbl77PWXgdAdmR7zYz82DwSLfFsqdjOjg6BD4+/G5PH6+GRTU/wpz3/JDCV2+Vx8eP1v+DXW//Qn5d6SgUNRTyz669o0HB57kVBLWoFQRAGmyzLh4FAN9OHgXtR6mac6s3oKf/6dyRJWi9J0lPdnUdkZAiCMCI5PE4aHU00+78ARna4y9qx1Wp3TDpjvwpXGvRaJo5RMhSM/vo9jkHuXNJfHQM94YYwcqPHINcXMD5mHIfqjwRt+4r8BgvT5vJB0ae4vC7OSps/JGPMic1iUlw++2oPUm9v7H6HXvD6vHi8HnW6isfr4cWDr5Malky0OYoXDrxGRngqD8y+N+gu6UBrdDTzmvwWoNzNvWLcxXx+Yj0+n5cfzbkPgHp7Azur9qDVaNW7szMSpzAjcQo+nw+X14VRZ6TR0ciqoo95q2AVG8qU9pLvF33CvOSZvH74bfbVHsKg1XNu5tnI9Ucobi7l7JPalvaFRqPhGulyrpEux+vzcryphKzI9hT69IjUfp9DEIbSorR5vFOotCTNjEgnxhRNvT+YetnYC9XtLP5/Z1Z++VueXfYEdXZlmxlJ7YEQrUbLtdIV/GHXX9hcvo0ZiVPYWbWXv+57kW9P+xZp4SnU2OuosdexqXwbC1Jns650E6AEj30+HxqNhiP1R3nx4OtclXcpk+Mn9Ov17as5yF/3vYTH5+HmCdcyJWFiv44nCILQFyG6md4eYpt/dnh8fm/PIQIZgiCMSL/f+WeON53gynFKYc0IY7i6rjcZGQPJ6O8o4hrhGRknt6LNj81Dri8gJSypUyAD4M2CVawv20KiJZ6FqXOHbJxL0ucrgYwBzsj48Nhq3iv6hDunfINJ8fl8XrKerZVKWnhGRBoAJ2xlvHLov1yff9WpDtUvdf47uADNLhsvHHhNfe71edFqtOqywPOONBqNmsY+L2UWq4o+VoMYAQ9uehyAvJixfE26gkRrPB6vh5q22qBpHgNBq9F22cFBEEYLq8HC92fejQbldzrGrAQytBotKdYkdbtzs85mX+1BAP648/84VH8EvVZPuCF4WuG4mBxAafEN8O5RJUiyrnQTl+W2F25eV7qJzIg0daoWgN1jx6K38NHxz6m11/Ne4cf9CmRUtFTx570voNNouX3yTWq9KEEQhNORmFoiCMKIdLxJmYv/v6MfAhBhaA9kWHTDFMjwt/9yjvCMDL22PUZt1BpZkr6AS3MvYEHqHHX5+dnLifOn4K8uXovX5+XS3AuGZFpJQIxJaYf7v8KP+O+Rd/njzv+jxdX/gs/vFX0CwPN7/sHemgOsKvxIXXeiuVR9vLF8q1qrw+lx8dGxzyhqLO73+QG2V+5iW+UuAC4fe1GnufB7aw5Q01bLkYZCgG5rhMSYo7kw+xz0Gh2X5l7AbZNvVNdNS5jEd6Z9Sz2GTqsb8CCGIJxOcqKy1JpJUf5pF8syFgcVHR4bPYZbJl4HEBQAPjngqNVoMWgNOPyBjEBdJ6veit3TXhywuLmEX239XdC+nxavBaC8pRKANo+DMlsF/z3yrjo9pTcKG4/h9Xm5bOxFIoghCMJpT2RkCIIwogU6jiRZE/jx7PtocDQO6ZftjgIZGU7XyM7I0Hf4+Rh1Bkw6IyuylgbVhbh4zAqmJUzi8a2/B2BMZBZTEyYN6ThjzO1f7j8/sR6AT4vXcGnuBX0+ZutJgZC/7XsZl9dNVmSGGhzrqMFfaPStgvdYW7qx244XDY5GjFoDVoO1y202lG3hlUNvqM8jjRE8NO+H/PPAa+yuVlrJvXv0Q3Vay7KMxZydvrDb13bBmHNYkb0Mg1aPz+cjIyKNE82lXD/+qkGdIiMIp7Mrxl1MTlQWS0JMxZqWMDnoeVfBBaPOoP5bFQjG7qnZz+zkaQBB01c62lC2hcVp82hwKNPrmp3N/GbHc7S57aSFpTA/dXaPXoPH60Gj0ahdhtLCUnq0nyAIwmgmAhmCIIw4JxdiXJ6xRJ2LP5xz8o0G5U6cwz3CMzI0HTIyOlTYN+naK39rNBp1mgXA0oyFQ/5l2BKi1klLP4twBjrbBLi8LpKtiVw17lKe2v4MAH9c+jjvF33CB8dW87sdfyIjIk1NIQ98oQil1FbOyi9/i06j46Ix53JeiOKZPp+Pj49/oT4PN4QxPnYcRp2R2ybfiM/n44+7/g+5vgCABSmzuWLsxT362Ws1WvVusEaj4Uez7+12H0EQTi3WHMOyzCUh1+m0Om6ddANrSzYSb4ljahf1JrQaLRUtlfh8PnwoRT1trhZ1Ktjs5Olqe1eAlQt/xlPbn8XhcfDktmfU5YGsDmjP7DgVp8fJP/a/yp6a/UHLk0VGliAIZwAxtUQQhBGnqrUm6Hl/7tAPpMDUks93lCIX1/f7eF5/FXuAa5ePA+C8ORn9Pm7HqSWGLh4HXDnuEtLCU5jUzwJzfZUalhz0vOMH+b4ITA2ZmzxTXVbRWkVWZDoXZp/DfdPvUObC+8/b6GxSgxgBzi7GsPLL3wJK15d3Cz+kzFbRaZvVJ9ZS01bL7KQZ3Dv9Nh5d8OOgjgEajYYbJ1xDpDGCaQmT+Nr4K0U2hSCMYDMSp3DfjDu4If+qLutXBLprvX30/aDlu/wZWMkduhA9vuhBokyRxJiiaXG1qsHTaSdlxL1ZsIqChqJTjm118dpOQQwIriklCIJwuhIZGYIgjDhVrdXq42hT1LBNJTlZbKSZuEgTtU0OtsvVSJn9a/Noa1VSkWfmJbBidgbzJiYRYTF0s1f3OgYyTp7PfbJlGYtZlrG43+fsq2ulK/jNjufU502OZooai/tcVLKmrRaAS3LOY0xUFq/JbwLKz+GinBXqdpPi88kIT+WErQyAeHMsKeHJ7K05gM3VQmyHTBZob88IcNW4S/nPkXfYXrWb1PBkPF4PHx//guSwRN4qeA9QCpnm+OfgnyzaFMWjC36MrkOGhSAIo9+nxWsAWJq+iA1lW9TpJukRqdw19VZ0Gq0aZIg0BXchvG78V6mzN1DcXKIu2129j7HRY0Key+V1q+cLuG/6HUHv/4IgCKcz8W4nCMKIEyh8Bt1/ER9Kep2W7187nZ/8ZTPOAehcUt/sACA6QpnyEWk1nmrzHtOfIvDzywU/GVEfdHOjs0kPT6XEH1A43HCUp7Y/w1NLHsUSojuN0+PkmV1/JcYczTf8hfhszhZq7XVkRWZQ3VaLXqMjyhTJlPiJvCa/yWW5F3Y6jklnVFuggjIl5K2jShCipq2OWHNwkMruVq7V5PgJzEuZxdtH32dNyUZ2Vu2huq02KNBxw/irugxiBITKjhEE4fQQZ4klPSKVwsbj6LV6kq2JpIUH1604K20+La5WDtcXkGxNJMxg5VuTv86ako0szVjEzzasDCpOfLJ1JRuxe5T3pUlx+UxNmKh2UBEEQTgTiE9SgiCMOIH6AQDjokfWB7PA9BLXANTJqLcpH0JjIkzdbNk7pwpUxJijB/RcA2Feyiz2VO/ncMNRdZndbQ8ZyNhbc0Cpg9EIi9Pm0+ho4u/7XwbgJ3O+S3lLBUlhiWg1WqJMETy77IkejUGj0ZAXncvq4rV8cGw1O6v24vA4uCD7HGrstSRY4gCw6i2Y9SYmxEnsrt5H20nz2JOsCcxNmRnqFIIgnKa+O+NOVhV+pHYhCjeEkRGRRmHjcVLDkkJmFY6LyeXemNygZbHmGC4fq7RsTbTGc6K5LGRr5j3V+4PauN459RsD/ZIEQRBGPBHIEARhxGl22og2RXH52IuYFDeyWsgZ1Bas/c/IaPBnZMSED2wgw6AZXW/tSzMWsTRjEXd/dr+6zOVPye7I5XGxtXKn+tzhcbKqqL216ifHv1A6lESk92kceTFjAThcX8BhfzBtS8V2QOnqAqjBlekJk9UOJGEGq9qpYF7KrBGVRSQIwuAbGz2Gu6bewnfX/AwAq8FChv99KD087VS7dikjIo3K1l3UttWTYI1Tl1e1VvPnvS+ozx+a98N+jFwQBGH06vbTriRJi4HHUAqD+oCbgVbgZSAMWCXL8i/8234XuBZwAjfKslwkSVJKqG0FQRC64vA4iTFFMStp2nAPpROj3t+CdQCmltSdNLVkoIykqSO98Y0JX+O/Bf+j2WnD5XV3Wv+fI++wt6a9MGedvY6q1ho0aPDhY2vlTjRoWJA6t0/nN+oMTImfGLJ4XlHTcQC1cOek+PYA28qFP2NPzQG2lG9jSVrnFo6CIJz+OnaI0ml0TIobz9joMX3O0EoPT2Vb5S5O2ErVQIbb4+aRzU+q2xi0ehIs8f0buCAIwijVk0+7MnCpLMv1kiRdDzwAaIA/Am8DayRJehNoBK4D5gNnA08AVwGPnrytLMudPyUKgiD4OT3OoFahI4nBMHBTS9SMjAEOZBh0/S8YOhxmJU/nhK2MT4vX4PR0zsgItDIM2FWlZEQsSJ2trpsYJ/W5UCgoxUcXps5hYtx4SmzlHGsqxuVxUtBQxPjYPOYkzwCUzIwHZn8Hq96CXqtnRuIUZiRO6fN5BUEY/WJM0dQ7Gog0RhBhDOe7M+7s87EC7bH/tu8lWqTLWZw2n7/t+Le6/oez7sGqt4iuR4IgnLG6DWTIslwFIEmSBpiKkm1xIXCPLMs+SZLeB5ajBDI+kWXZLUnSaiCQ97Y8xLYikCEIQkhurxuPz4NJNzCFLweaVqNBr9MOTLFP2+BMLcmNUqrcZ0X0v5XrUDNolSCM+6SpJYFimjlR2cxLmckrh96gydkMwIRYSQ1kLOxjNkZAlCmCKJOSbZERkUpGRCoAyzKXdNo2s49TWARBOD3dP/vblNsqSQ1P7n7jbmRFpmPWmbB7HLwmv4VWo2V3xQHMOhP3Tr+dzEjx/iMIwpmtRxN5JUm6EyUzYyHKNBOrLMsO/+pqIMn/Xw2ALMs+wCtJkrGLbQVBEEJyeJwAIzaQAUrBz5IqGz6fr1/HqWuyYzHpMRkHtr1slCmCB+f+gLum3jKgxx0KRn8gw+l10+BoZG/NAQBa/UU1I43harCj2WUDIMwQxrSEycxMnBo05UMQBGEoRRojkGLHDsixLHoLv1r0c7Xg9SuH3qC2tZ5Ea4IIYgiCINDDYp+yLD8PPC9J0t3ANUDHbxga/3MD4DlpuaGLbbsUE2NFrx/YD/VDISEhovuNhBFJXLuRRdOi3ImPDAvr0bUZjutnNOpobXazq6ieFXNP3WazK5V1rZTXtjI+K2ZQXsNo+L0ONcboujAArOF6frrhMQDumXszY2KU7JLYiCjiYyIBpe0qQEpCLD/Ju2sohix0MBp+x4TQxLUbPb5l+hr3f6y8F/rwER8eLa7fKCWuW/ecTifNzWZ0upH3XTA8vHMntf7yeDzExYVjNI7cm3cjWW8rwr0FfAzYJEkyy7JsB+KBCpSpJTmgTkMxyLLcIklSqG27VF/f2tvXMOwSEiKorm4e7mEIfSCu3chT3FQJgNZj6PbaDNf1Wzo9jbfWFlJc1tjn8xecaAAgNzXyjPwd7OraOdqUKSRPbfizuuyZLf9Ep1E+1OjcBlqblWCXDyUjpq3JQ7X7zPsZDifx3jl6iWs3uoQRxbPLnmBfzUH+tPefxOhjxfUbhcTfXc+43S5sNvuIC2SEh5ux2ewDflyPx0NtrQ29fvTVNhsJgblup5ZIkpTd4ekyoAhYB1zgD1hcCKwB1gIrJEnSodTB2OrfJ9S2giAIIVW11QCQOIIrsednxgDg6kedDKe/WKjJMLL+sR5uVn3nOx5npS8g3qJU7U+PSO1U3M6sH5mFYQVBEAbKpPh8nr3ol1ySe/5wD0UQBGFE6ElGxnWSJF0L2AA7cBvQBrwE/Aj4QJblbQCSJL0KbEIpCHqTf//7Q20rCIIQSp29HoA4S8wwj6RrBn2gc0k/AhkuZV+jvkelis4YE+KkoOe3TrpB7Qbi8rgw6AwcqS8M2saqtwzZ+ARBEIZLfFgs1a3irr4gCAL0rGvJSmBliFVLQ2z7NPD0SctKQ20rCIIQSptbSd0LM4QN80i61h7I6HsLVqdL2dcoMjKCWE4KSiRbE9XHgbay42JymJc8i80VSlxcpxU/Q0EQBEEQhDOJuBUoCMKIEuhOYQkxxWCkGJCMDP++RoN4G+7KvdNv67KN4VfzLgHAoO1tqSdBEARBEARhtBOfAAVBGFHaXCM/kBGYDuLyy9v2WAAAIABJREFUBAcy2hxuVr64nZzUSL5x4anbgDoCGRmjsEvTUMmNGtPlOovewg9n3UP4CM7cEQRBEARBEAaHCGQIgjBi+Hw+mpzK/N+RXPcgkJERqHMRUFHXSmlNC6U1LdywIg9DiCCFy+1l0/4KjpQ0AmJqSSj3z/o2DY6mbqeMZEdmDtGIBEEQBEEQhJFEBDIEQRgx3j/2KUcaCok3x2LQjtxWVIYuMjICdS8AympaCbPosZr0WM3tr+X9zcd5Z32R+txqFm/DJ8uKzCBruAchCIIgCIIgjFjiE/QQOlAr0+pqZXriFFGcThBCkOuOoEHDt6ff1qnF5kii1ymBjP1FdXx5sJI5+UlAcGDjD2/sob7ZgU6r4Ve3zSM+WskwKam2BR0rJzVyiEYtCIIgCIIgCKcHUWVuiBypP8qzu//GPw68yi+3PM2Oqj34fL7hHpYgjCh19gaiTJHEW2KHeyinpNFokDKiAdi0r0Jd7uow1aS+2QGAx+ujptHevk2HAqFxkWa0IzhgIwiCIAiCIAgjkQhkDIFDdUf43c4/q8+r2mr4276XeHL7M2o9AEE407m8bhqdTcSZY4Z7KD3yvWumAeDukIXh7KKLSdA2HaafaMU7sCAIgiAIgiD0mphaMgT21x4CYEKcxB2Tb6bWXsebBe+xt+YAG0q/5IIxy4d5hIIw/CpaKvH6vKR00W5zpNHrlEwKl6c9s6qrdqwuj5c2h5tDx+uDgh1tDk/I7QVBEARBEARB6Jq4HzgEDtYdBuCG8Veh0+pItCZwee6FAKwq+giPV3yZEYRSWzkAaWEpwzySntFoNOh1mqBsC5c79N+yy+3l9c8L+OObeyksa1KXt9hdgz5OQRAEQRAEQTjdiIyMQVbRUkl5SyV6rZ4IY7i6PKZD+nyDo5EdVXuYHJ9PcljScAxTEIZdIJCRHjE6AhmgFP10u734fD5WvrSdo6VNIbdze7yUVNk6LRdlcgRBEARBEASh90RGxiDbXrkbgAUps9Fq2n/cRp0Bs84EwJ6aA7x99H1+seVptlXsxOsLnZ4+UFpdbTg94k6wMLIEAhmpYaNjagkogQyXx4vL7e0yiAFKRkZ2suhOIgiCIAiCIAgDQQQyBtmRhkI0aLgk57xO687OWARARWuVuuwfB15ldfHaQRtPq6uNn29cySObn6DV1TZo5xGE3vB4PRQ3lxJvicOsNw/3cHrMoNfi9niD2q5OyY0jwmoI2s7t8YFoTiIIgiAIgiAIA0IEMgbJrup9/OvAvznSUEhqeDJWg7XTNmF6CwA7q/YELZfrC9TH7x79kEc2PcGrh97oV6ZGVWsNv9/xZ/6y9wXsHgcNjkY+Ov6ZaAErjAhFTcW0udsYHztuuIfSK0qNDB9ufwHPOfmJ3HfVVJJig//eXW5vUC0Ns1EHgMn/f0EQBEEQBEEQek7UyBhgm8u38eLB14OWjY3OCblttDkagBZXa9Dyg3WH+ax4LZPi8/no+GeA0rJ1VtI0xsXk9npMVa3VPL39OWyulqDlnxavIcESx6K0eb0+piD0V0FDEZ8Wf8GN+deonX0mxY0f5lH1jl6npc3hUruVGHRKbDjcHJyREZh+AvDLb84lKdbCdrma7BQx3UQQBEEQBEEQektkZAwgn8/XKYgBMDZ6TMjtJ8dPID82r9PycEMY7x9bTaNDmXNv1Cpfip7f848+jWtL+fagIEZ6eCpnpy8ElC+TgjAcfrvjefbWHOSH6x7m0+I16DU68mLGDvewesWgC55aYtArb6kLJyt1PtLiwwBwu9sDGWFmPTqtljn5SSRGW4Zh1IIgCIIgCIIweCRJ+q4kSVskSVonSVLIL8OSJH0oSdLDHZ5PliTphCRJZ/fkHN1mZEiSlA78EUgEvMD1wE3AdUAtUCXL8hWBAQPXAk7gRlmWiyRJSgFeBsKAVbIs/6InAxuNGhyNQc/Pz17OhrItSF18OTNo9dwz7Zt8f82D2D12dbkUM5btVbuR648CMD91DmtKNuDwOHs1nqLGYqx6M5VtNQDcN/126h2NzE6ajtfnZXP5dnZV76XNfTmWUVSXQBj9jjedCHru9XlJCkvCpDMO04j6Rh+okeEPUuj9gYyZUiK/uWchNY12Vr64PSgjIxDsEARBEARBEITTjT9+cB0wHzgbeAK46qRtrqdDLEKSpDzgeWBvT8/Tk6klLcCvZVneLEnS7cAPUAIa35Fl+ZMeDPhRlEDI28AaSZLelGV5f08HOBpsOrGdf+14g1p7vbrs8rEXcU7mWVw8ZgUazamr/D264Ec4PU5+tnEliZZ4MiLS2F61mw+OfQpAZkQaMabokPv6fD7+sf8VqttquGjMCibF5wPwZcUOXjjwmrqdUWtgbHSOOhadRsespKmsL9tCma2C3Ojs/vwIBKFX9lQrbwGT4sZT72ik1FZOvCVumEfVe3qdFrfHhzNEkCI63ERTixJ8dHeokSECGYIgCIIgCMJpbDnwiSzLbkmSVgMvdFwpSVIsStzgFSDTv/go8BXgNz09SbefqGVZrpdlebP/aRkQDcQCNV0NGFgNLOiw/H1Zln3A+/7np5X/2/ZqUBDjnmnf5JzMswC6DWIAhBmsxJijeXT+j/jhrG+Td1IdjChjJOHGMGwuW6d97R4H26t2U9xcyvoy5TI1OZt5VX4zaDuNRtNpLFmRyu9NRUtlD17lwKm3N/C/wo9w9jLDRBjdXB4XLx/8L49ufooP/bVfbpl0AzeMv4rpiVNY5u/iM5oYdMrflN3h9j8PfksNBC06ZmTodSKQIQiCIAiCIJy2kvDHCvwxAK8kSR3Trn8NPIiSHIF/O48sy3W9OUlvi31eCfwPuBh4RpIkDfCaLMt/OHnAkiQFBmyVZdnh378aCF350i8mxopeP7oq+f/98qcG5DgJRACQRSKv5z4ftG7J+Jld7BXB69cEb5tABC999ffdnu/ShGVcOnVZn8baHwlEkJeRMeTn7UpCQsRwD+GMcV/yNzotSyeOmbn5fT7mcF4/q1V5T3534zEAPGiCxuPRKkELnV4HGg16nZbERFHgM0D87Y1u4vqNXuLajV7i2o1e4tp1z+l00txsRqcbed8Fw8MHfhq+x+MhLi4co3F0Ta3uAQPg6fBc41/mlCRpKdAqy/J2SZIm9+ckPQ5kSJJ0IZAO/FeW5f/4l4UBqyVJ2n6KARtPWnbaXamAq/99J0CnwEJf1bbWY3O2kBWdTlH9CV7e/RZ7Kg8GbTM7bSpbS3erz+ekT6OiuZqqlhr+cfnT1LY18Pcd/+amaV8lJSIxaN82l51b3v4ByWEJPH3Bz9FqBv9Osd3t4MY37lOfX55/Prsq9nNOzmLOHbtYXb6jbC8v7n4Ts97E2dnz2XhiGw8svguroWfFERvtTdz7/sMsyZrLLTOvGfDXIXRWUHuMl/e8xf6qw0Sawrkwbxlz0qeRGp6EVqvlPXk1L+z6L7fOuBarwcKU5PFEmUf3l/pAxkVBiVIfp6HZEXK92+3F6fZgNIhsDEEQBEEQBOG0Vok/ecGf+GCQZTnQeeJq4EpJkq4BLIBOkiStLMsP9vYkPQpkSJKUAzwJnONPDwFAluUWSZLWABO6GrAkSTZJksyyLNuBeKDiVOeqr2891eoRKSEhgurqZlYu/DkaDVRXNw/QkfVYiaK6uplworl94jeoHlPLlxXbWVe6mWaXLSiIAbCtdA8AaeEp1NW2osHIreO/Dnaotnce16zEaWyp2M6aQ9vU+hqD6XB9AQDjonM40lDIWwc/BOCV3W8zLWoaAEWNx3lq+3PqPkfrjgOwVt7GzKRp3Z6juKmErZU7aXW18WHBF3xauJ67p97aacoOtF874dQaHI38fd/LmPVmxkXnkBWZTm7UGFrdbWyt2MHRxuPsqm6vzdPksPHa3nd5be+7WPQWfjz7PrYWK+szTVnEW+JwNkN1c/9+9sN9/bz+6SLpCWGUVLdw8bzMoPHY2lwANLc4aLO70Ws14vfNb7ivndA/4vqNXuLajV7i2o1e4tr1jNvtwmazj7iMjPBwMzabvfsNe8nj8VBba0OvNwz4sQdbNxlGa4E7JEn6ObAU2CpJ0qPANlmW7wTuBJAk6WYgW5blh/syhp50LQkH/g3cIstyuX9ZoizLVZIk6YB5wJtA/ckD9h9iHXCBJElvAxcC3+vLQEeDKNPgp4wlWOO4KGcFF+Ws4NVDb7C+bAsRhnCWZS7mnaMfoEGDRW9mTtL0Hh1veeYStlRs542C/xFlisLr85AVOXjTPooaiwFYkDqHIw2F6vJWdxs1bXVsq9zF/wo/DLnv0cZjIQMZXp+Xp7c/x/GmEzy64Ef8ZsfzuLwudb3b6+ZArRwykCH0zKaybRxtPAbA/tpDAFj0ZmLNMZTaygHIiszgstwLGRedwxclG/jvkXcBaHO3sb1qF8ebT5BoiR+VRT27Eqh34fIo8d3oCFPQ+kDNDLfHh9vjFYU+BUEQBEEQhNOaLMuHJUl6FdiE0s30JuB+YEC/LPckI+MeYAzwtCRJAA6gXpKkDJSpIm/LsrwFIMSA8Q/6JeBHwAeyLG8byBdwJrs67zIyI9KZGD+eaFMUK7KW4vP5elRgNCAtPEXNjnh86+8A+OWCnxBjDt0lpb+KmpRARl5MLpPixqPRaMmKyGBV0Uc8tOlxACKNEWjQMDNpKp+dWKfue6S+kI+PfU6ru43Lxl6oLi+1VXDMf9yntj2jBjH0Wj0Pz7ufn21cyeoTa1mUNve0+hI9lPbU7EOr0XJe1jK1m06b264GMa6VrmBR6lz1d29pxiIWps6hxFbGb3f8ifWlW2hxtZITlTVsr2EwBNqttnVR7FOvV34eLrcHl9uL2Tiy7jAIgiAIgiAIwkCTZflp4OkOi24Psc0/Qyy7uafn6DaQIcvy48DjPTlYiAEjy3IpSoaGMMB0Wh0L0+YGLetNECPg/OzlHNnVnh1xuP4oc1O6Ki7adz6fj2NNxUSboog2RXHn1FsA2F29T91mXvIsrhx3MVaDFVACHjZXK1srdiDXF/BO4QcAlLdUsjB1DlMSJlLQIbOj0amk7V2ddxljojKJMUdzTuZZfFq8hnePfsgtk64f8Nc12lW11hBuCFPrjzQ7bdS01TEmSulq0+pq5URzGWOjx3BxzgrOSl/Aj9Y/GnSMjkGMAKPOSE5UNnnRuRyqPwJAojVhCF7R0NH7u5a0OdzotBq02uCfgU6rRavR4Pb4cLm9RFhHX+qgIAiCIAiCIIw0ve1aIpyGxseO4+dzv09ZSyV/2/cSzSHavPZURUslx5tKmJM8o9MX2/21h2h22pieEFygdkxUFlHGSJZnLmF55pKgdZPjJwDQYG9E9tfXANhXe5DylkqmJExUp6jcPfVWtlfuptHZxLyUWZh0Sl3Zy3IvRK4vYHvVbqZWTuxRnY0zRU1bHY99+RssejMTYiV2Vu/F5XHhQ5kq8djCn3KiuRQfPsZGjwEgwhjOiqyl2Jw2NpZvZVrC5FMG0K7K+wq/2KLEN5Msp1cgI5CBcapsC4Nei8vtxSWmlgiCIAiCIAjCgBCBDAGA5LAkWt1tALS4+lZw1evz8sS2P+LwOPH6vExJmEibu421pZuQYsbx/J5/AHSaXhBpjGDlop+d8tizk6dzqP4wla3V5MfmIf9/e3ceXlV953H8fbMHspEFCPtS/MomoKAs7iIW69IqnbZqnU5l2upoXepCdTqtzPQZbXWeTp22trXVtnZxXFpHW1urVWvrBgjK+kUFFQUiJAgJBALJnT/OyTWBhNwQmpPTfF7Pw/Pcc+/v3Hwv33vuPfd7fkvNa1TvruHpd/7KK1tW0C+3hLGlRzCuzA7YN5FIcNbIOXzv1bt58LVHOLr/JBKJBPua9tGUbGrjr/UOb+3YwDcW3wEEvTBe3LzkgDa3Lf5OqiA0puSDOUbOHT0XgDnDT6Uwp+Cgf2dg3wFcP/UK/vj2M0ysGHe4wu8RsloMJWmvSJGdlcHuhn3s29d0wNATERERERHpPBUyJKVvdl8ANobzHrT0pw3PsmjzUo4deDQTysZS0efAuSY21L7LnsYGAO5dcz/F635PUW4RG2rf5cm3/5xqdyg9IsrzS7n66EtT28+++wK/8oe4f+3DQDDXx8F6BUwoH0tZXinVu2vYUl9N/z7l3LbkO9TureWLkz/PgE4MeUgmk2zaWUVFfhnZmfEcKlC/rz5VxNhfcU4R/zzx0/xoxc/Ztud9AGYNOq7tVV/aeB+0ZXjRUOZPuOjQA+6hsrI6LmQMG1DAqje3HbSNiIiIiIikT4UMSSnNLSE3M4c1216nsamRzIwPuso/+NojALxd+w6vbl3FlVM+12rf6voafrf+iVb3bW+oTc1ZAcHkmzcdezXFuUVdjnV08YhW2+msGDOjciqPrn+cHy7/KRt3frAK8PMbF7WaPPRg6hp28qOVP08tI3vbiQvJz8pLP/AeYvnW1anbF9j5bNpVxZCCQYwsGkZ+dj5FOYVcMXk+C1+8DYCzR51xSPOv/L1r2cOiZseeNtucPnVoqpCh/0MRERERka5TIUNSsjOzmVg+jsVVy3h/zw7K8vu12W7zziqSyWAOhUQiQVOyiVsXfzs1JOXc0XNZWb2G199fD8C8MedQnl/KsMKhh22J2sq+Azhr5BweXf94uD2ww32aV2JpWcQAeGP7+rT+5q699dzwl5tb3bem5jWm9J/Yzh5t29u4l1e2rqQsr5ThRUPISHT/VfoVYSHjpmOvYVBB2/93A/r258vTrqJm97YOh4/0Vs2TfQL075ffZptJHyrntGOG8OSSdw5YnlVERERERDpPhQxppTyvFIDq3dXtFjLq9u7k5he+wajiEVw87hOppTUBpldOZc7wU5gz/BTe3vEOi6uWcfzg6WRnHN63WiKRYO7I2UzpfxTLtqzgxMEzOtxnRNEwMhOZNCYbATh16AlU7ali5Xtrqa6voSy/NNU2mUyyL9nYKu6lW1494DlXVK/udCHj2Y0vpHq4nDPqw5wx4tRO7d9VjU2NrKpZS7/cEir7Djho2yGFgxhSOKibIouflkNFPn/O+HbbXTB7DEePKWdQhQpCIiIiIiJdpQHb0kpZfjDnwdb6oCt8U7KJur07KcjuS1ZGFtMHTqUp2cSW+mpe3LyEV7as5L61vyY3M4cbj72aC4+cl3quYUVDOG/MWYe9iNHSwL79+fCIU1sNgzlY22+d/HUWzljArEHH8ZGRp3Pi8GD52n97/hZqdgeveUdDLZc/dQNXPX0jq2vW0hDO+7G46hUAFs74MneccgslucUse2956vF0JJNJnt7w19T2/637fbdPOLpu+1vU76tnQvlYDXXoopaTfY6sbH/IVCKRYOyIUor75nRHWCIiIiIif9dUyJBWysNeGNX11by0+WWueGoBNzx7M3V7dzKkYBAVfcpbtf/pql8BMKNyGoMLKiMZJtEZGYkMyvJLueDI88nLymP60KNTjz38xmM8uu5xXtr8cuq+/1l2Fz9ZdR+Lq5bx2rY3GFU8grL8fmQkMpheOZXdjXtY+t7ytP/+iurVVO+uoTiniMLs4Or8na/ec9heXzrWb38LCJbdla7R5J0iIiIiIt1PZ+HSSlle0CPj92/9iZ+ERYpmhTkFlIbzTDTb3RhMcDixPJ7LauZn53H7iQvJzshicdUyHnvzCX79+m9btVm2ZTl3r/wFSZIcN/CDwsfUcPWV1TWvsWzLCjbWtZ57Y3/JZJLH1j8JwOWT5/NP4y8AYGX1Gr72/K1s37PjkF5DMpnk5fde5d02Vptpy9r33wBgUBrzisjBZWk5VRERERGRbqc5MqSVfnnFZCQyUsMdJpQdyYrqNQAU5xalfvxmZ2QxueIoFlUFvRfSmWyzp8rLyuOTdh6/XPMg+8L5MwCuPvpSqutrWFXjDCkYxPCiIXyoZFTq8fJwGM6iqpdT/w/zJ3y61ZwZz29cxNIty5k7YjY/WP4TdjTUMrliYmqCzS8d8y/cvuQ7bKmv5tev/5bPjP9Uat8/vvU0L21+mU8deR6jwlVaNu2sYtfeekaXBNvJZJJfrHmA5zYton+fcr46/XogmJj0Ryvu5Z26jWQmMjh39Jn4ttfpm92H1TVrKcsrpbzFnCByaDIyNDRHRERERKS7qZAhrWQkMhhcUMmG2ncBuHTSZ1n4wm1U7XqPopxChhQO4ivHfYnSvH7s3LuLddvfZPawkw7baiRRmV45lakDJvPE28/wyLo/kJOZw/DCIXyoZCTHVR7T5j5tzf1x14qf8a2Tvg6JBC9tXsIv1jwIBL0ums2onJq6Pap4OF846jPc+eo9LKpayqKqpRTmFJCfmcd79VsBuH3Jd7njlFt44q1neHjdYwCMLT2C7Ixstu/ZwVu1GwB4b9dW1tS8xuZd7/H4m39qtfTtT1ff1yrO4wcf1+OHAYmIiIiIiLRFhQw5wPwJF3Hv6vuZOehYAC6ZcCHPb1rEzMppAAwMV7rIycxh4cwFkcV5uGVlZPHhEacxpmQ0GYkE2ZnZHe4zs3Iaz21axMePOJf71z4MwFXP3NSqzejiEbyx/U0gKECMLzuy1eMTy8fxiSM+yn1rfwNAbUMdtdS1anPFU63/n1fXrG21PaFsLCuqV3PHsh+m7jtl6PHMHTGbf3vuP9nduIeS3GJK80qYWDYurVVeREREREREeiIVMuQA5fllXHX0F1LbgwsqmTfmnAgj6l7NwzbSceHYj3PBkfNIJBJU5Jfx3Vd+fECb+RM/TW1DHVvqq5lUPr7NlUJmDTqOFdVrqMgv46xRZ/D9V+9ha30NHx09l7tX/TLV7uKxn2BcmXHXip/x+vvrATh/zNlMGzCFBX9ZmGp3/pizOXXoCQBcNukS3qrdwEmDZ6a1uot0QjLqAEREREREeh8VMkS6qLkw0XL+jHGlxqoaB6Aguy9FOYUMLqhs9zkyMzK5bNJnU9stC0kkEvx23eOcO3ouk8P5Ny496rPU7d3Zap6LBdOuoiyvhD7ZfVo99+iSEZ0qzoiIiIiIiPRkKmSIHCa5mTnMG3MOyWQTpw47kSueWkBTsqnLc1FMHTA5tUJKs7ysXPKyclvdN7RwUJf+jnTeoPKgaDRuRL+IIxERERER6T06LGSY2RDgDqA/0ARcCOwFfg70BR51938P214NfBJoAC529/VmVtlWW5G/R6cMPT51+9bjv0oTTRFGI39r/fv14dYvzKBfYW7HjUVERERE5LBI51LxTuBWd58F3AtcCywkKG5MB043s/FhweMCYBZwM/CNcP8D2h7elyDSM/XJzqcgu2/UYcjfWEVJPlmZWgFGRERERKS7dHj27e7b3P2FcHMjUAKcBvzO3ZPA78Lt04A/uvs+4ElgZrhPW21FRERERERERDqts5cRzwceAfq4+57wvi3AgPDfVoCwaNFkZjnttBURERERERER6bS0J/s0szOBIcADwPdbPJQAcoBsoHG/+7PDx/Zv265+/fqQlRW/JSIrKgqjDkEOkXIXb8pffCl38ab8xZdyF1/KXXwpdx1raGigtjaPzMye91uwoCDvsD9nY2MjZWUF5OQc9OextCOtQoaZjQK+Ccx296SZ1ZlZnrvvBsqBzcB2YFTYPgFku/vOdtq2a9u2XV14OdGoqChky5baqMOQQ6DcxZvyF1/KXbwpf/Gl3MWXchdfyl169u3bS13d7h5XyCgoyKOubvdhf97Gxkaqq+vIyso+7M/9t9YTCnMdDi0xswLgPuCz7r4pvPtZYG5YsDgTeAb4MzDHzDIJ5sFYdJC2IiIiIiIiIiKdlk6PjMuBkcDtZgawB7iYYAWTBcBj7r4YwMx+CTxPsPzqP4b7X99WWxEREREREZFmTU1NUYdwgMbGRhobGztu2Ek98bXGSSKZTEYdg4iIiIiIiIhIWjq7aomIiIiIiIiISGRUyBARERERERGR2FAhQ0RERERERERiQ4UMEREREREREYkNFTJEREREREREJDZUyBARERERERGR2FAhoxPMLBF1DHJozEzv9RjTsRdfOvbiycwKoo5BukafmyLdT8ddPClv8ZRIJpNRx9CjmVkxMB5Y5O57o45H0mdmecAXgO+5+x4zS7i73vAxYWYlwHzgv3XsxYuZlQHXADe7e0PU8Uj6wuPuJqAe+Lq774k4JOmE8JxlBvCUchcvZlYEjAJWuPu+qOOR9IXH3QTgJZ2vxI+ZFbv79qjjkM7TlbKDMLNLgWeAa4HvRByOdN5pwPXAJeG2qq0xYWaXAX8A+gJNuqofH2Y2DngIyAeSZpYZcUiSJjP7IvAAMAXoExaAdezFhJldRHDOcjFwq5nlRxySpMnMPg38FbgK+A8zGx1xSJImM/sY8BfgCuDbZnZkxCFJJ4RFqNVmdk24re+8GFGy2mFmpwBTgTPc/TzgE2Y2PuKwJA0tfjhtAB4B5pnZGHdvMrOsCEOTNITH2RzgFne/2d0b3b0p6rgkbcOAN9z9Gnff6+6NUQckHTOzfwZOAC5099nADDMbomMvHswsm6D36Hx3v4Agl0eEj+lcrwdrkbtz3P0zwJvARWY2NHxcF2F6tiHAV9z9k8Bmgtw1H3vKXc93BLAO+Eczyw9/KyhvMaEvtxbMbERYwMDdnwIWuHuVmU0GngfKIg1Q2hXm7mSAFj+cTiK4wnE/wVUO1F2zZ9rv2FsJrAR2mtkUM7vZzC42s37RRiltaXnshUYBy81soJn9wMy+pKuLPdN+ubvb3T8efuclgCcJTtClh9rve28vMA2YZWYTgBeBAeFjKkb1MG3k7nSg+XPyFWAmcGr4uIbE9iAWuK7F99pRQG54+wFgL/AxUO56ojbyVwBcBDwL3B7ep0JGTKiQ0dqdwCVmNjHc3mpmlcBdBCcFl5nZ5WY2OLIIpT13AvPDE7hmbwJN7v49gs+uh8zsrEiik440H3uTwu3fAwuAbxFc4ZgHXNt8lUN6lOZjrzl37wCfI+gUVXzMAAAGtUlEQVTe/megNHz8mIjik/alPjfdfZ+ZZYRFjCxgbHMjXdHvsZrzNznc/irBj6g/AMOB68zsihbnNNJzNOduSrh9G/BNMxtBcBFmEzA47PYuPYCZJczsSuAHBAX7m8zsTOA+4F8hdSFmGdBfx13P0kb+bjSzi9z9KXd/k2BuqDPMbKx6ZcRHrz85aX6jhifhJcAq4AwIKqnuvgmY5e5fBb4OnAlURBSutNBO7j7coslIYHc4bvgYYDLBCZ66+/UA7eRvTjgp67MEx9tHwkLUtcBQoCiqeOUDHeTu/4BtwHR3v5fghL0eUAG4BzjY52Z45T4zvEK8CPiHFvdLD9BO/k4HcPe/Aj8Fnga+BnwRKCf47pOItZO72eHn5i+Be4CrCeaGupPguNwRTbTSkpllhL0rtgOXufulwB+Bk9z9CWC7md0QNl9B0BtKQ5l7iHby9wQw0cxyw8e3Exx3t4N608RFry1kmNlsM/sBsMDMcgi6sl8KPAeUm9lpYbtE88zf7r4caATUxT1CaeTu9LDpFuB/gc8TFKBeAD4D+oCKUgf5KwNmA7j7k+5eF95eC2SjQkak0sjdnLDplcAkM+vr7hsIemXktvWc0j3S/c4DmosWrwBVLXppSIQ6OvZa5K8UONrdF7n7aoLjTqsoRCiNz83mQtR/A9e5+1fc/QWCgvDAiMIWWuXueguWpL6PoAAFkAQKw9tfAi43s6Hu/gbB0ITybg9YWmmRv+vayV9u+BsvA8DdvwlUmNm8cH999/VwvbKQEQ4X+RrwG4JJXr5C8MW/lKCSugE4wcyKmn/wmtlkM/s+wY8pjyRwSTd3s8ysL7AUONndT3D354H/4YMPMIlAJ/JXFLbPMLNJZvZDghOG1yIJXNLN3QwzK3X3RcAvgIVm9kDYfk0kgUtnv/OaCxlFwFnu3qTCb7Q6kb9+7v42sNbM7jWznwET0TlLZNLM3czm7zx3bzCzAWb2MLA17BUsEdgvdwZcB4xv8Xn4OkERONfdXyToDXWjmf2W4PNzbfdHLc32y9+RtJ2/QWaWGQ6tzA7v/wbwT6CLnnGQSCZ7R44sWMniSoKr8v2AKe7+H+F4xI8RXMW41d3rzOw44Gxgmbs/YGZDCKp4D7r7f0XzCnqvQ8jdOcASd3+o5XNo9YRoHOKx94q73x9evfoRsDi8WiXd6BBzt8Ldf2XBCkEFwInhcBPpRl057lo8x3x3v6v7o5cuHnt5wCxgmLvfHc0r6L26+J2XAZwHVITDKqUbdTJ31wL93f36FvsXA6e4+2+6P3o51PzpN0J89YoeGWY2g2As2zRgLnA5wXKqheEEL4sJxiR+JNxlGcHVwxPNbLS7vwPMVhGj+x1i7lYDJ5vZqObn0QdUNLpw7J1gwZK5DcAlKmJ0vy7kbqaZjXL3fe7+vooY3a+Lx13Lz00VMSLQxWNvtLvvDofmqYjRzbp47I0Oe0Q9pCJG9+tE7s4Od9kDPGpm88xsiZlNd/ftKmJEoyv5A140s2O7P2rpql5RyCAYB/Vjd/8U8CDBkpzvEww1gGAs8DqCLkbN46WWAi8TTrTk7vXdHrVA13JXG0G80lpX8vc+BF1tuz1qAR17cabcxVuXz1kkMofjfFOT60Yj3dxVhttnE/TWPhf4XDiviUSnK/n7vLu/1L3hyuHQW2bUXQK8Gt6uA8YAnwQWmdk0d19kZhuBj7aY2HMlwYRMEi3lLt6Uv/hS7uJLuYs35S++lLv4Sjd3HwvnU3gRuLPlMGaJlPLXC/WaOTJaMrPHgPOB+QSVuC8DJxMsl3SDu++LLjo5GOUu3pS/+FLu4ku5izflL76Uu/g6SO4Guvs1EYYmaVD+eofe0iMjxczGEEzusgv4tpk1ELzBRwFX6kul51Lu4k35iy/lLr6Uu3hT/uJLuYuvjnIXaXDSIeWv9+h1hQyC1/xrMxsL3AI85+43RRyTpEe5izflL76Uu/hS7uJN+Ysv5S6+lLt4U/56id5YyJgCLCToXnSPu98bbTjSCcpdvCl/8aXcxZdyF2/KX3wpd/Gl3MWb8tdL9MZCRi1wI/BfWg0hdpS7eFP+4ku5iy/lLt6Uv/hS7uJLuYs35a+X6HWTfZpZwt1714v+O6HcxZvyF1/KXXwpd/Gm/MWXchdfyl28KX+9R68rZIiIiIiIiIhIfGVEHYCIiIiIiIiISLpUyBARERERERGR2FAhQ0RERERERERiQ4UMEREREREREYkNFTJEREREREREJDZUyBARERERERGR2FAhQ0RERERERERiQ4UMEREREREREYmN/wefH2XhLddUjgAAAABJRU5ErkJggg==\n",
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