{"cells": [{"metadata": {}, "cell_type": "markdown", "source": "## \u5e01\u5b89\u505a\u7a7a\u8d85\u6da8\u505a\u591a\u8d85\u8dcc\u7b56\u7565\u7684\u4f18\u5316\n\n\u539f\u6709\u7814\u7a76\u62a5\u544a\u5730\u5740\uff1ahttps://www.fmz.com/digest-topic/5294 \u53ef\u4ee5\u5148\u770b\u4e00\u904d\uff0c\u8fd9\u7bc7\u6587\u7ae0\u4e0d\u4f1a\u6709\u91cd\u590d\u7684\u5185\u5bb9\u3002\u91cd\u70b9\u4ecb\u7ecd\u4e86\u7b2c\u4e8c\u4e2a\u7b56\u7565\u7684\u4f18\u5316\u8fc7\u7a0b\u3002\u7ecf\u8fc7\u4f18\u5316\u7b56\u7565\u6539\u8fdb\u660e\u663e\uff0c\u5efa\u8bae\u6839\u636e\u8fd9\u7bc7\u6587\u7ae0\u8fdb\u884c\u7b56\u7565\u7684\u5347\u7ea7\u3002\u56de\u6d4b\u5f15\u64ce\u52a0\u5165\u4e86\u624b\u7eed\u8d39\u7684\u7edf\u8ba1\u3002"}, {"metadata": {"trusted": true}, "cell_type": "code", "source": "# \u9700\u8981\u5bfc\u5165\u7684\u5e93\nimport pandas as pd\nimport requests\nimport matplotlib.pyplot as plt\nimport seaborn as sns\nimport numpy as np\n%matplotlib inline", "execution_count": 1, "outputs": []}, {"metadata": {"trusted": true}, "cell_type": "code", "source": "symbols = ['ETH', 'BCH', 'XRP', 'EOS', 'LTC', 'TRX', 'ETC', 'LINK', 'XLM', 'ADA', 'XMR', 'DASH', 'ZEC', 'XTZ', 'BNB', 'ATOM', 'ONT', 'IOTA', 'BAT', 'VET', 'NEO', 'QTUM', 'IOST']", "execution_count": 2, "outputs": []}, {"metadata": {"trusted": true}, "cell_type": "code", "source": "price_usdt = pd.read_csv('https://www.fmz.com/upload/asset/20227de6c1d10cb9dd1.csv ', index_col = 0)\nprice_usdt.index = pd.to_datetime(price_usdt.index)", "execution_count": 3, "outputs": []}, {"metadata": {"trusted": true}, "cell_type": "code", "source": "price_usdt_norm = price_usdt/price_usdt.fillna(method='bfill').iloc[0,]", "execution_count": 170, "outputs": []}, {"metadata": {"trusted": true}, "cell_type": "code", "source": "price_usdt_btc = price_usdt.divide(price_usdt['BTC'],axis=0)\nprice_usdt_btc_norm = price_usdt_btc/price_usdt_btc.fillna(method='bfill').iloc[0,]", "execution_count": 171, "outputs": []}, {"metadata": {"trusted": true}, "cell_type": "code", "source": "class Exchange:\n    \n    def __init__(self, trade_symbols, leverage=20, commission=0.00005,  initial_balance=10000, log=False):\n        self.initial_balance = initial_balance #\u521d\u59cb\u7684\u8d44\u4ea7\n        self.commission = commission\n        self.leverage = leverage\n        self.trade_symbols = trade_symbols\n        self.date = ''\n        self.log = log\n        self.df = pd.DataFrame(columns=['margin','total','leverage','realised_profit','unrealised_profit'])\n        self.account = {'USDT':{'realised_profit':0, 'margin':0, 'unrealised_profit':0, 'total':initial_balance, 'leverage':0, 'fee':0}}\n        for symbol in trade_symbols:\n            self.account[symbol] = {'amount':0, 'hold_price':0, 'value':0, 'price':0, 'realised_profit':0, 'margin':0, 'unrealised_profit':0,'fee':0}\n            \n    def Trade(self, symbol, direction, price, amount, msg=''):\n        if self.date and self.log:\n            print('%-20s%-5s%-5s%-10.8s%-8.6s %s'%(str(self.date), symbol, 'buy' if direction == 1 else 'sell', price, amount, msg))\n            \n        cover_amount = 0 if direction*self.account[symbol]['amount'] >=0 else min(abs(self.account[symbol]['amount']), amount)\n        open_amount = amount - cover_amount\n        \n        self.account['USDT']['realised_profit'] -= price*amount*self.commission #\u6263\u9664\u624b\u7eed\u8d39\n        self.account['USDT']['fee'] += price*amount*self.commission\n        self.account[symbol]['fee'] += price*amount*self.commission\n        \n        if cover_amount > 0: #\u5148\u5e73\u4ed3\n            self.account['USDT']['realised_profit'] += -direction*(price - self.account[symbol]['hold_price'])*cover_amount  #\u5229\u6da6\n            self.account['USDT']['margin'] -= cover_amount*self.account[symbol]['hold_price']/self.leverage #\u91ca\u653e\u4fdd\u8bc1\u91d1\n            \n            self.account[symbol]['realised_profit'] += -direction*(price - self.account[symbol]['hold_price'])*cover_amount\n            self.account[symbol]['amount'] -= -direction*cover_amount\n            self.account[symbol]['margin'] -=  cover_amount*self.account[symbol]['hold_price']/self.leverage\n            self.account[symbol]['hold_price'] = 0 if self.account[symbol]['amount'] == 0 else self.account[symbol]['hold_price']\n            \n        if open_amount > 0:\n            total_cost = self.account[symbol]['hold_price']*direction*self.account[symbol]['amount'] + price*open_amount\n            total_amount = direction*self.account[symbol]['amount']+open_amount\n            \n            self.account['USDT']['margin'] +=  open_amount*price/self.leverage            \n            self.account[symbol]['hold_price'] = total_cost/total_amount\n            self.account[symbol]['amount'] += direction*open_amount\n            self.account[symbol]['margin'] +=  open_amount*price/self.leverage\n            \n        self.account[symbol]['unrealised_profit'] = (price - self.account[symbol]['hold_price'])*self.account[symbol]['amount']\n        self.account[symbol]['price'] = price\n        self.account[symbol]['value'] = abs(self.account[symbol]['amount'])*price\n        \n        return True\n    \n    def Buy(self, symbol, price, amount, msg=''):\n        self.Trade(symbol, 1, price, amount, msg)\n        \n    def Sell(self, symbol, price, amount, msg=''):\n        self.Trade(symbol, -1, price, amount, msg)\n        \n    def Update(self, date, close_price): #\u5bf9\u8d44\u4ea7\u8fdb\u884c\u66f4\u65b0\n        self.date = date\n        self.close = close_price\n        self.account['USDT']['unrealised_profit'] = 0\n        for symbol in self.trade_symbols:\n            if np.isnan(close_price[symbol]):\n                continue\n            self.account[symbol]['unrealised_profit'] = (close_price[symbol] - self.account[symbol]['hold_price'])*self.account[symbol]['amount']\n            self.account[symbol]['price'] = close_price[symbol]\n            self.account[symbol]['value'] = abs(self.account[symbol]['amount'])*close_price[symbol]\n            self.account['USDT']['unrealised_profit'] += self.account[symbol]['unrealised_profit']\n            if self.date.hour in [0,8,16]:\n                pass\n                self.account['USDT']['realised_profit'] += -self.account[symbol]['amount']*close_price[symbol]*0.01/100\n        \n        self.account['USDT']['total'] = round(self.account['USDT']['realised_profit'] + self.initial_balance + self.account['USDT']['unrealised_profit'],6)\n        self.account['USDT']['leverage'] = round(self.account['USDT']['margin']/self.account['USDT']['total'],4)*self.leverage\n        self.df.loc[self.date] = [self.account['USDT']['margin'],self.account['USDT']['total'],self.account['USDT']['leverage'],self.account['USDT']['realised_profit'],self.account['USDT']['unrealised_profit']]", "execution_count": 225, "outputs": []}, {"metadata": {}, "cell_type": "markdown", "source": "**\u539f\u6765\u7b56\u7565\u7684\u8868\u73b0\uff0c\u7ecf\u8fc7\u5e01\u79cd\u7684\u7b5b\u9009\uff0c\u8868\u73b0\u7684\u8fd8\u4e0d\u9519\uff0c\u4f46\u662f\u6301\u4ed3\u4f9d\u7136\u5f88\u591a,\u666e\u904d\u57284\u500d\u5de6\u53f3**\n\n\u539f\u7406\uff1a\n- 1.\u66f4\u65b0\u884c\u60c5\u548c\u8d26\u6237\u6301\u4ed3\uff0c\u7b2c\u4e00\u6b21\u8fd0\u884c\u4f1a\u8bb0\u5f55\u521d\u59cb\u4ef7\u683c\uff08\u65b0\u52a0\u5165\u7684\u5e01\u79cd\u6309\u7167\u52a0\u5165\u65f6\u95f4\u8ba1\u7b97\uff09\n- 2.\u66f4\u65b0\u6307\u6570\uff0c\u6307\u6570\u662f\u5c71\u5be8\u5e01-\u6bd4\u7279\u5e01\u4ef7\u683c\u6307\u6570 = mean(sum((\u5c71\u5be8\u5e01\u4ef7\u683c/\u6bd4\u7279\u5e01\u4ef7\u683c)/(\u5c71\u5be8\u5e01\u521d\u59cb\u4ef7\u683c/\u6bd4\u7279\u5e01\u521d\u59cb\u4ef7\u683c)))\n- 3.\u6839\u636e\u504f\u79bb\u6307\u6570\u5224\u65ad\u505a\u591a\u505a\u7a7a,\u6839\u636e\u504f\u79bb\u5927\u5c0f\u5224\u65ad\u4ed3\u4f4d\n- 4.\u4e0b\u5355\uff0c\u4e0b\u5355\u91cf\u7531\u51b0\u5c71\u59d4\u6258\u51b3\u5b9a\uff0c\u6309\u7167\u5bf9\u624b\u4ef7\u6210\u4ea4\uff08\u4e70\u5165\u7528\u5356\u4e00\u4ef7\uff09\u3002\n- 5.\u518d\u6b21\u5faa\u73af"}, {"metadata": {"trusted": true}, "cell_type": "code", "source": "trade_symbols = list(set(symbols)-set(['LINK','XTZ','BCH', 'ETH']))#\u5269\u4f59\u7684\u5e01\u79cd\nprice_usdt_btc_norm_mean = price_usdt_btc_norm[trade_symbols].mean(axis=1)\ne = Exchange(trade_symbols,initial_balance=10000,commission=0.0005,log=False)\ntrade_value = 300\nfor row in price_usdt.iloc[:].iterrows():\n    e.Update(row[0], row[1])\n    empty_value = 0\n    for symbol in trade_symbols:\n        price = row[1][symbol]\n        if np.isnan(price):\n            continue\n        diff = price_usdt_btc_norm.loc[row[0],symbol] - price_usdt_btc_norm_mean[row[0]]\n        aim_value = -trade_value*round(diff/0.01,1)\n        now_value = e.account[symbol]['value']*np.sign(e.account[symbol]['amount'])\n        empty_value += now_value\n        if aim_value - now_value > 20:\n            e.Buy(symbol, price, round((aim_value - now_value)/price, 6),round(e.account[symbol]['realised_profit']+e.account[symbol]['unrealised_profit'],2))\n        if aim_value - now_value < -20:\n            e.Sell(symbol, price, -round((aim_value - now_value)/price, 6),round(e.account[symbol]['realised_profit']+e.account[symbol]['unrealised_profit'],2))\nstragey_2b = e\n(stragey_2b.df['total']/stragey_2b.initial_balance).plot(figsize=(17,6),grid = True);", "execution_count": 176, "outputs": [{"output_type": "display_data", "data": {"text/plain": "<Figure size 1224x432 with 1 Axes>", "image/png": "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\n"}, "metadata": {"needs_background": "light"}}]}, {"metadata": {"trusted": true}, "cell_type": "code", "source": "stragey_2b.df['leverage'].plot(figsize=(18,6),grid = True); #\u6760\u6746", "execution_count": 178, "outputs": [{"output_type": "display_data", "data": {"text/plain": "<Figure size 1296x432 with 1 Axes>", "image/png": 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\n"}, "metadata": {"needs_background": "light"}}]}, {"metadata": {"trusted": true}, "cell_type": "code", "source": "pd.DataFrame(e.account).T.apply(lambda x:round(x,3)) #\u6301\u4ed3", "execution_count": 177, "outputs": [{"output_type": "execute_result", "execution_count": 177, "data": {"text/plain": "      realised_profit    margin  unrealised_profit      total  leverage  \\\nUSDT        11912.530  2178.288           -627.858  21289.819      2.08   \nETC         -2991.311   248.555            548.893        NaN       NaN   \nXLM           385.387   232.370           -722.603        NaN       NaN   \nXMR           732.287   246.264           -624.718        NaN       NaN   \nDASH        -1542.852    11.903             -1.935        NaN       NaN   \nQTUM         3809.323    16.263              4.744        NaN       NaN   \nATOM         1439.716   115.502            161.850        NaN       NaN   \nLTC           258.922    73.971            -80.578        NaN       NaN   \nBAT          1646.675    38.881            -32.371        NaN       NaN   \nNEO          1059.462    43.447             31.058        NaN       NaN   \nIOST         3420.670    97.450             30.992        NaN       NaN   \nXRP           849.192   213.615           -527.693        NaN       NaN   \nVET          2071.060   117.874             42.525        NaN       NaN   \nEOS           545.744    20.515             -9.696        NaN       NaN   \nIOTA         -835.407   133.579            268.423        NaN       NaN   \nBNB           829.466    66.933            -71.345        NaN       NaN   \nTRX           956.784   139.170           -246.592        NaN       NaN   \nADA           643.538    30.378            -22.442        NaN       NaN   \nONT          1254.977   212.245            435.103        NaN       NaN   \nZEC         -1149.949   119.372            192.563        NaN       NaN   \n\n          amount  hold_price     value   price  \nUSDT         NaN         NaN       NaN     NaN  \nETC      965.035       5.151  5520.000   5.720  \nXLM  -106695.808       0.044  5370.000   0.050  \nXMR      -95.657      51.489  5550.000  58.020  \nDASH      -3.215      74.058   240.000  74.660  \nQTUM     232.394       1.400   330.000   1.420  \nATOM    1021.867       2.261  2471.897   2.419  \nLTC      -33.419      44.269  1560.000  46.680  \nBAT    -4759.107       0.163   810.000   0.170  \nNEO      112.994       7.690   900.000   7.965  \nIOST  568312.285       0.003  1980.000   0.003  \nXRP   -23964.054       0.178  4800.000   0.200  \nVET   610687.023       0.004  2400.000   0.004  \nEOS     -153.229       2.678   420.000   2.741  \nIOTA   17294.118       0.154  2940.000   0.170  \nBNB      -91.923      14.563  1410.000  15.339  \nTRX  -221006.565       0.013  3030.000   0.014  \nADA   -17170.891       0.035   630.000   0.037  \nONT    10746.269       0.395  4680.000   0.436  \nZEC       67.877      35.173  2580.000  38.010  ", "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>realised_profit</th>\n      <th>margin</th>\n      <th>unrealised_profit</th>\n      <th>total</th>\n      <th>leverage</th>\n      <th>amount</th>\n      <th>hold_price</th>\n      <th>value</th>\n      <th>price</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <td>USDT</td>\n      <td>11912.530</td>\n      <td>2178.288</td>\n      <td>-627.858</td>\n      <td>21289.819</td>\n      <td>2.08</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <td>ETC</td>\n      <td>-2991.311</td>\n      <td>248.555</td>\n      <td>548.893</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>965.035</td>\n      <td>5.151</td>\n      <td>5520.000</td>\n      <td>5.720</td>\n    </tr>\n    <tr>\n      <td>XLM</td>\n      <td>385.387</td>\n      <td>232.370</td>\n      <td>-722.603</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-106695.808</td>\n      <td>0.044</td>\n      <td>5370.000</td>\n      <td>0.050</td>\n    </tr>\n    <tr>\n      <td>XMR</td>\n      <td>732.287</td>\n      <td>246.264</td>\n      <td>-624.718</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-95.657</td>\n      <td>51.489</td>\n      <td>5550.000</td>\n      <td>58.020</td>\n    </tr>\n    <tr>\n      <td>DASH</td>\n      <td>-1542.852</td>\n      <td>11.903</td>\n      <td>-1.935</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-3.215</td>\n      <td>74.058</td>\n      <td>240.000</td>\n      <td>74.660</td>\n    </tr>\n    <tr>\n      <td>QTUM</td>\n      <td>3809.323</td>\n      <td>16.263</td>\n      <td>4.744</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>232.394</td>\n      <td>1.400</td>\n      <td>330.000</td>\n      <td>1.420</td>\n    </tr>\n    <tr>\n      <td>ATOM</td>\n      <td>1439.716</td>\n      <td>115.502</td>\n      <td>161.850</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1021.867</td>\n      <td>2.261</td>\n      <td>2471.897</td>\n      <td>2.419</td>\n    </tr>\n    <tr>\n      <td>LTC</td>\n      <td>258.922</td>\n      <td>73.971</td>\n      <td>-80.578</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-33.419</td>\n      <td>44.269</td>\n      <td>1560.000</td>\n      <td>46.680</td>\n    </tr>\n    <tr>\n      <td>BAT</td>\n      <td>1646.675</td>\n      <td>38.881</td>\n      <td>-32.371</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-4759.107</td>\n      <td>0.163</td>\n      <td>810.000</td>\n      <td>0.170</td>\n    </tr>\n    <tr>\n      <td>NEO</td>\n      <td>1059.462</td>\n      <td>43.447</td>\n      <td>31.058</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>112.994</td>\n      <td>7.690</td>\n      <td>900.000</td>\n      <td>7.965</td>\n    </tr>\n    <tr>\n      <td>IOST</td>\n      <td>3420.670</td>\n      <td>97.450</td>\n      <td>30.992</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>568312.285</td>\n      <td>0.003</td>\n      <td>1980.000</td>\n      <td>0.003</td>\n    </tr>\n    <tr>\n      <td>XRP</td>\n      <td>849.192</td>\n      <td>213.615</td>\n      <td>-527.693</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-23964.054</td>\n      <td>0.178</td>\n      <td>4800.000</td>\n      <td>0.200</td>\n    </tr>\n    <tr>\n      <td>VET</td>\n      <td>2071.060</td>\n      <td>117.874</td>\n      <td>42.525</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>610687.023</td>\n      <td>0.004</td>\n      <td>2400.000</td>\n      <td>0.004</td>\n    </tr>\n    <tr>\n      <td>EOS</td>\n      <td>545.744</td>\n      <td>20.515</td>\n      <td>-9.696</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-153.229</td>\n      <td>2.678</td>\n      <td>420.000</td>\n      <td>2.741</td>\n    </tr>\n    <tr>\n      <td>IOTA</td>\n      <td>-835.407</td>\n      <td>133.579</td>\n      <td>268.423</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>17294.118</td>\n      <td>0.154</td>\n      <td>2940.000</td>\n      <td>0.170</td>\n    </tr>\n    <tr>\n      <td>BNB</td>\n      <td>829.466</td>\n      <td>66.933</td>\n      <td>-71.345</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-91.923</td>\n      <td>14.563</td>\n      <td>1410.000</td>\n      <td>15.339</td>\n    </tr>\n    <tr>\n      <td>TRX</td>\n      <td>956.784</td>\n      <td>139.170</td>\n      <td>-246.592</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-221006.565</td>\n      <td>0.013</td>\n      <td>3030.000</td>\n      <td>0.014</td>\n    </tr>\n    <tr>\n      <td>ADA</td>\n      <td>643.538</td>\n      <td>30.378</td>\n      <td>-22.442</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-17170.891</td>\n      <td>0.035</td>\n      <td>630.000</td>\n      <td>0.037</td>\n    </tr>\n    <tr>\n      <td>ONT</td>\n      <td>1254.977</td>\n      <td>212.245</td>\n      <td>435.103</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>10746.269</td>\n      <td>0.395</td>\n      <td>4680.000</td>\n      <td>0.436</td>\n    </tr>\n    <tr>\n      <td>ZEC</td>\n      <td>-1149.949</td>\n      <td>119.372</td>\n      <td>192.563</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>67.877</td>\n      <td>35.173</td>\n      <td>2580.000</td>\n      <td>38.010</td>\n    </tr>\n  </tbody>\n</table>\n</div>"}, "metadata": {}}]}, {"metadata": {}, "cell_type": "markdown", "source": "## \u4e3a\u4ec0\u4e48\u8981\u6539\u8fdb\n\n\u539f\u6709\u6700\u5927\u7684\u95ee\u9898\u662f\u6700\u65b0\u4ef7\u683c\u548c\u7b56\u7565\u542f\u52a8\u7684\u521d\u59cb\u4ef7\u683c\u5bf9\u6bd4\uff0c\u968f\u7740\u65f6\u95f4\u7684\u589e\u957f\uff0c\u4f1a\u8d8a\u6765\u8d8a\u504f\u79bb\uff0c\u6211\u4eec\u5c06\u4f1a\u5728\u8fd9\u4e9b\u5e01\u79cd\u4e0a\u7d2f\u8ba1\u975e\u5e38\u591a\u7684\u4ed3\u4f4d\u3002\u8fc7\u6ee4\u5e01\u79cd\u6700\u5927\u7684\u95ee\u9898\u662f\u6211\u4eec\u6839\u636e\u4ee5\u5f80\u7684\u7ecf\u9a8c\u800c\u672a\u6765\u4ecd\u7136\u53ef\u80fd\u51fa\u73b0\u7279\u7279\u7acb\u72ec\u884c\u7684\u5e01\u79cd\u3002\u4e0b\u9762\u5c31\u662f\u4e0d\u8fc7\u6ee4\u7684\u8868\u73b0\uff0c\u5b9e\u9645\u4e0a\u5728trade_value=300\u65f6\uff0c\u7b56\u7565\u4e2d\u671f\u5df2\u7ecf\u7206\u4ed3\uff0c\u5373\u4f7f\u4e0d\u7206\u4ed3\uff0cLINK\u3001XTZ\u4e5f\u5206\u522b\u6301\u6709\u4e8610000USDT\u4ee5\u4e0a\u7684\u4ed3\u4f4d\uff0c\u5b9e\u5728\u8fc7\u4e8e\u5927\u4e86\u3002\u56e0\u6b64\u5fc5\u987b\u5728\u56de\u6d4b\u4e2d\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898\uff0c\u901a\u8fc7\u5168\u5e01\u79cd\u7684\u8003\u9a8c\u3002"}, {"metadata": {"trusted": true}, "cell_type": "code", "source": "trade_symbols = list(set(symbols))#\u5269\u4f59\u7684\u5e01\u79cd\nprice_usdt_btc_norm_mean = price_usdt_btc_norm[trade_symbols].mean(axis=1)\ne = Exchange(trade_symbols,initial_balance=10000,commission=0.0005,log=False)\ntrade_value = 300\nfor row in price_usdt.iloc[:].iterrows():\n    e.Update(row[0], row[1])\n    empty_value = 0\n    for symbol in trade_symbols:\n        price = row[1][symbol]\n        if np.isnan(price):\n            continue\n        diff = price_usdt_btc_norm.loc[row[0],symbol] - price_usdt_btc_norm_mean[row[0]]\n        aim_value = -trade_value*round(diff/0.01,1)\n        now_value = e.account[symbol]['value']*np.sign(e.account[symbol]['amount'])\n        empty_value += now_value\n        if aim_value - now_value > 20:\n            e.Buy(symbol, price, round((aim_value - now_value)/price, 6),round(e.account[symbol]['realised_profit']+e.account[symbol]['unrealised_profit'],2))\n        if aim_value - now_value < -20:\n            e.Sell(symbol, price, -round((aim_value - now_value)/price, 6),round(e.account[symbol]['realised_profit']+e.account[symbol]['unrealised_profit'],2))\nstragey_2c = e\n(stragey_2c.df['total']/stragey_2c.initial_balance).plot(figsize=(17,6),grid = True);", "execution_count": 98, "outputs": [{"output_type": "display_data", "data": {"text/plain": "<Figure size 1224x432 with 1 Axes>", "image/png": 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\n"}, "metadata": {"needs_background": "light"}}]}, {"metadata": {"trusted": true, "scrolled": true}, "cell_type": "code", "source": "pd.DataFrame(stragey_2c.account).T.apply(lambda x:round(x,3)) #\u6700\u540e\u6301\u4ed3", "execution_count": 99, "outputs": [{"output_type": "execute_result", "execution_count": 99, "data": {"text/plain": "      realised_profit    margin  unrealised_profit     total  leverage  \\\nUSDT         9902.906  4027.894          -2697.901  17185.81     4.798   \nETC         -4406.699   325.615            747.701       NaN       NaN   \nXLM          -702.556   161.279           -404.421       NaN       NaN   \nXMR          -339.223   173.157           -346.855       NaN       NaN   \nQTUM         2954.343    97.759            114.817       NaN       NaN   \nATOM          158.038   192.175            367.885       NaN       NaN   \nBAT           607.179    45.790             44.208       NaN       NaN   \nVET           714.430   195.911            221.770       NaN       NaN   \nTRX          -144.737    61.477            -60.454       NaN       NaN   \nADA          -472.192    53.348             43.039       NaN       NaN   \nONT          -275.143   288.362            652.759       NaN       NaN   \nETH          3903.529   355.890          -1462.194       NaN       NaN   \nLTC          -757.241     8.823              3.535       NaN       NaN   \nBCH         -1850.977    14.829             33.416       NaN       NaN   \nNEO          -171.220   123.249            175.023       NaN       NaN   \nIOST         2473.843   178.499            150.019       NaN       NaN   \nXRP          -132.605   137.268           -284.635       NaN       NaN   \nEOS          -597.837    63.822             43.564       NaN       NaN   \nIOTA        -2207.545   209.713            515.735       NaN       NaN   \nBNB          -118.799    16.012              9.757       NaN       NaN   \nLINK         9126.578   560.173          -2056.539       NaN       NaN   \nDASH        -2591.464    72.126             57.486       NaN       NaN   \nZEC         -2505.799   196.170            396.599       NaN       NaN   \nXTZ          9296.893   496.446          -1681.088       NaN       NaN   \n\n           amount  hold_price      value    price  \nUSDT          NaN         NaN        NaN      NaN  \nETC      1269.231       5.131   7260.000    5.720  \nXLM    -72123.982       0.045   3630.000    0.050  \nXMR       -65.667      52.738   3810.000   58.020  \nQTUM     1457.746       1.341   2070.000    1.420  \nATOM     1740.959       2.208   4211.379    2.419  \nBAT      5640.423       0.162    960.000    0.170  \nVET   1053435.115       0.004   4140.000    0.004  \nTRX    -94091.904       0.013   1290.000    0.014  \nADA     30253.475       0.035   1110.000    0.037  \nONT     14741.676       0.391   6420.000    0.436  \nETH       -49.650     143.360   8580.000  172.810  \nLTC         3.856      45.763    180.000   46.680  \nBCH         1.196     247.881    330.000  275.810  \nNEO       331.450       7.437   2640.000    7.965  \nIOST  1067738.232       0.003   3720.000    0.003  \nXRP    -15127.309       0.181   3030.000    0.200  \nEOS       481.576       2.651   1320.000    2.741  \nIOTA    27705.882       0.151   4710.000    0.170  \nBNB        21.514      14.885    330.000   15.339  \nLINK    -4672.304       2.398  13260.000    2.838  \nDASH       20.091      71.799   1500.000   74.660  \nZEC       113.654      34.520   4320.000   38.010  \nXTZ     -5657.895       1.755  11610.000    2.052  ", "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>realised_profit</th>\n      <th>margin</th>\n      <th>unrealised_profit</th>\n      <th>total</th>\n      <th>leverage</th>\n      <th>amount</th>\n      <th>hold_price</th>\n      <th>value</th>\n      <th>price</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <td>USDT</td>\n      <td>9902.906</td>\n      <td>4027.894</td>\n      <td>-2697.901</td>\n      <td>17185.81</td>\n      <td>4.798</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <td>ETC</td>\n      <td>-4406.699</td>\n      <td>325.615</td>\n      <td>747.701</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1269.231</td>\n      <td>5.131</td>\n      <td>7260.000</td>\n      <td>5.720</td>\n    </tr>\n    <tr>\n      <td>XLM</td>\n      <td>-702.556</td>\n      <td>161.279</td>\n      <td>-404.421</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-72123.982</td>\n      <td>0.045</td>\n      <td>3630.000</td>\n      <td>0.050</td>\n    </tr>\n    <tr>\n      <td>XMR</td>\n      <td>-339.223</td>\n      <td>173.157</td>\n      <td>-346.855</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-65.667</td>\n      <td>52.738</td>\n      <td>3810.000</td>\n      <td>58.020</td>\n    </tr>\n    <tr>\n      <td>QTUM</td>\n      <td>2954.343</td>\n      <td>97.759</td>\n      <td>114.817</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1457.746</td>\n      <td>1.341</td>\n      <td>2070.000</td>\n      <td>1.420</td>\n    </tr>\n    <tr>\n      <td>ATOM</td>\n      <td>158.038</td>\n      <td>192.175</td>\n      <td>367.885</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1740.959</td>\n      <td>2.208</td>\n      <td>4211.379</td>\n      <td>2.419</td>\n    </tr>\n    <tr>\n      <td>BAT</td>\n      <td>607.179</td>\n      <td>45.790</td>\n      <td>44.208</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>5640.423</td>\n      <td>0.162</td>\n      <td>960.000</td>\n      <td>0.170</td>\n    </tr>\n    <tr>\n      <td>VET</td>\n      <td>714.430</td>\n      <td>195.911</td>\n      <td>221.770</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1053435.115</td>\n      <td>0.004</td>\n      <td>4140.000</td>\n      <td>0.004</td>\n    </tr>\n    <tr>\n      <td>TRX</td>\n      <td>-144.737</td>\n      <td>61.477</td>\n      <td>-60.454</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-94091.904</td>\n      <td>0.013</td>\n      <td>1290.000</td>\n      <td>0.014</td>\n    </tr>\n    <tr>\n      <td>ADA</td>\n      <td>-472.192</td>\n      <td>53.348</td>\n      <td>43.039</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>30253.475</td>\n      <td>0.035</td>\n      <td>1110.000</td>\n      <td>0.037</td>\n    </tr>\n    <tr>\n      <td>ONT</td>\n      <td>-275.143</td>\n      <td>288.362</td>\n      <td>652.759</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>14741.676</td>\n      <td>0.391</td>\n      <td>6420.000</td>\n      <td>0.436</td>\n    </tr>\n    <tr>\n      <td>ETH</td>\n      <td>3903.529</td>\n      <td>355.890</td>\n      <td>-1462.194</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-49.650</td>\n      <td>143.360</td>\n      <td>8580.000</td>\n      <td>172.810</td>\n    </tr>\n    <tr>\n      <td>LTC</td>\n      <td>-757.241</td>\n      <td>8.823</td>\n      <td>3.535</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>3.856</td>\n      <td>45.763</td>\n      <td>180.000</td>\n      <td>46.680</td>\n    </tr>\n    <tr>\n      <td>BCH</td>\n      <td>-1850.977</td>\n      <td>14.829</td>\n      <td>33.416</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1.196</td>\n      <td>247.881</td>\n      <td>330.000</td>\n      <td>275.810</td>\n    </tr>\n    <tr>\n      <td>NEO</td>\n      <td>-171.220</td>\n      <td>123.249</td>\n      <td>175.023</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>331.450</td>\n      <td>7.437</td>\n      <td>2640.000</td>\n      <td>7.965</td>\n    </tr>\n    <tr>\n      <td>IOST</td>\n      <td>2473.843</td>\n      <td>178.499</td>\n      <td>150.019</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1067738.232</td>\n      <td>0.003</td>\n      <td>3720.000</td>\n      <td>0.003</td>\n    </tr>\n    <tr>\n      <td>XRP</td>\n      <td>-132.605</td>\n      <td>137.268</td>\n      <td>-284.635</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-15127.309</td>\n      <td>0.181</td>\n      <td>3030.000</td>\n      <td>0.200</td>\n    </tr>\n    <tr>\n      <td>EOS</td>\n      <td>-597.837</td>\n      <td>63.822</td>\n      <td>43.564</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>481.576</td>\n      <td>2.651</td>\n      <td>1320.000</td>\n      <td>2.741</td>\n    </tr>\n    <tr>\n      <td>IOTA</td>\n      <td>-2207.545</td>\n      <td>209.713</td>\n      <td>515.735</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>27705.882</td>\n      <td>0.151</td>\n      <td>4710.000</td>\n      <td>0.170</td>\n    </tr>\n    <tr>\n      <td>BNB</td>\n      <td>-118.799</td>\n      <td>16.012</td>\n      <td>9.757</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>21.514</td>\n      <td>14.885</td>\n      <td>330.000</td>\n      <td>15.339</td>\n    </tr>\n    <tr>\n      <td>LINK</td>\n      <td>9126.578</td>\n      <td>560.173</td>\n      <td>-2056.539</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-4672.304</td>\n      <td>2.398</td>\n      <td>13260.000</td>\n      <td>2.838</td>\n    </tr>\n    <tr>\n      <td>DASH</td>\n      <td>-2591.464</td>\n      <td>72.126</td>\n      <td>57.486</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>20.091</td>\n      <td>71.799</td>\n      <td>1500.000</td>\n      <td>74.660</td>\n    </tr>\n    <tr>\n      <td>ZEC</td>\n      <td>-2505.799</td>\n      <td>196.170</td>\n      <td>396.599</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>113.654</td>\n      <td>34.520</td>\n      <td>4320.000</td>\n      <td>38.010</td>\n    </tr>\n    <tr>\n      <td>XTZ</td>\n      <td>9296.893</td>\n      <td>496.446</td>\n      <td>-1681.088</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-5657.895</td>\n      <td>1.755</td>\n      <td>11610.000</td>\n      <td>2.052</td>\n    </tr>\n  </tbody>\n</table>\n</div>"}, "metadata": {}}]}, {"metadata": {"trusted": true, "scrolled": true}, "cell_type": "code", "source": "((price_usdt_btc_norm.iloc[-1:] - price_usdt_btc_norm_mean[-1]).T) #\u5404\u4e2a\u5e01\u79cd\u504f\u79bb\u521d\u59cb\u7684\u60c5\u51b5", "execution_count": 25, "outputs": [{"output_type": "execute_result", "execution_count": 25, "data": {"text/plain": "0     2020-04-08 03:00:00\nBTC              0.165191\nETH              0.285501\nBCH             -0.011090\nXRP              0.101466\nEOS             -0.044139\nLTC             -0.005890\nTRX              0.042733\nETC             -0.241950\nLINK             0.442115\nXLM              0.121035\nADA             -0.037183\nXMR              0.126688\nDASH            -0.050144\nZEC             -0.143874\nXTZ              0.386968\nBNB             -0.010699\nATOM            -0.140183\nONT             -0.213943\nIOTA            -0.156505\nBAT             -0.031535\nVET             -0.138276\nNEO             -0.088255\nQTUM            -0.068959\nIOST            -0.123881", "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th>0</th>\n      <th>2020-04-08 03:00:00</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <td>BTC</td>\n      <td>0.165191</td>\n    </tr>\n    <tr>\n      <td>ETH</td>\n      <td>0.285501</td>\n    </tr>\n    <tr>\n      <td>BCH</td>\n      <td>-0.011090</td>\n    </tr>\n    <tr>\n      <td>XRP</td>\n      <td>0.101466</td>\n    </tr>\n    <tr>\n      <td>EOS</td>\n      <td>-0.044139</td>\n    </tr>\n    <tr>\n      <td>LTC</td>\n      <td>-0.005890</td>\n    </tr>\n    <tr>\n      <td>TRX</td>\n      <td>0.042733</td>\n    </tr>\n    <tr>\n      <td>ETC</td>\n      <td>-0.241950</td>\n    </tr>\n    <tr>\n      <td>LINK</td>\n      <td>0.442115</td>\n    </tr>\n    <tr>\n      <td>XLM</td>\n      <td>0.121035</td>\n    </tr>\n    <tr>\n      <td>ADA</td>\n      <td>-0.037183</td>\n    </tr>\n    <tr>\n      <td>XMR</td>\n      <td>0.126688</td>\n    </tr>\n    <tr>\n      <td>DASH</td>\n      <td>-0.050144</td>\n    </tr>\n    <tr>\n      <td>ZEC</td>\n      <td>-0.143874</td>\n    </tr>\n    <tr>\n      <td>XTZ</td>\n      <td>0.386968</td>\n    </tr>\n    <tr>\n      <td>BNB</td>\n      <td>-0.010699</td>\n    </tr>\n    <tr>\n      <td>ATOM</td>\n      <td>-0.140183</td>\n    </tr>\n    <tr>\n      <td>ONT</td>\n      <td>-0.213943</td>\n    </tr>\n    <tr>\n      <td>IOTA</td>\n      <td>-0.156505</td>\n    </tr>\n    <tr>\n      <td>BAT</td>\n      <td>-0.031535</td>\n    </tr>\n    <tr>\n      <td>VET</td>\n      <td>-0.138276</td>\n    </tr>\n    <tr>\n      <td>NEO</td>\n      <td>-0.088255</td>\n    </tr>\n    <tr>\n      <td>QTUM</td>\n      <td>-0.068959</td>\n    </tr>\n    <tr>\n      <td>IOST</td>\n      <td>-0.123881</td>\n    </tr>\n  </tbody>\n</table>\n</div>"}, "metadata": {}}]}, {"metadata": {}, "cell_type": "markdown", "source": "\u65e2\u7136\u95ee\u9898\u7684\u539f\u56e0\u662f\u548c\u5f00\u59cb\u7684\u4ef7\u683c\u8fdb\u884c\u6bd4\u8f83\uff0c\u53ef\u80fd\u8d8a\u504f\u8d8a\u591a\u3002\u6211\u4eec\u53ef\u4ee5\u548c\u8fc7\u53bb\u4e00\u6bb5\u65f6\u95f4\u7684\u5747\u7ebf\u5bf9\u6bd4\uff0c\u56de\u6d4b\u5168\u5e01\u79cd\u4ee5\u4e0b\u770b\u770b\u7ed3\u679c\u3002"}, {"metadata": {"trusted": true, "scrolled": false}, "cell_type": "code", "source": "Alpha = 0.05\n#price_usdt_btc_norm2 = price_usdt_btc/price_usdt_btc.rolling(20).mean() #\u666e\u901a\u5747\u7ebf\nprice_usdt_btc_norm2 = price_usdt_btc/price_usdt_btc.ewm(alpha=Alpha).mean() #\u8fd9\u91cc\u548c\u7b56\u7565\u4e00\u81f4\uff0c\u7528\u4e86EMA\ntrade_symbols = list(set(symbols))#\u5168\u5e01\u79cd\nprice_usdt_btc_norm_mean = price_usdt_btc_norm2[trade_symbols].mean(axis=1)\ne = Exchange(trade_symbols,initial_balance=10000,commission=0.0005,log=False)\ntrade_value = 300\nfor row in price_usdt.iloc[:].iterrows():\n    e.Update(row[0], row[1])\n    empty_value = 0\n    for symbol in trade_symbols:\n        price = row[1][symbol]\n        if np.isnan(price):\n            continue\n        diff = price_usdt_btc_norm2.loc[row[0],symbol] - price_usdt_btc_norm_mean[row[0]]\n        aim_value = -trade_value*round(diff/0.01,1)\n        now_value = e.account[symbol]['value']*np.sign(e.account[symbol]['amount'])\n        empty_value += now_value\n        if aim_value - now_value > 20:\n            e.Buy(symbol, price, round((aim_value - now_value)/price, 6),round(e.account[symbol]['realised_profit']+e.account[symbol]['unrealised_profit'],2))\n        if aim_value - now_value < -20:\n            e.Sell(symbol, price, -round((aim_value - now_value)/price, 6),round(e.account[symbol]['realised_profit']+e.account[symbol]['unrealised_profit'],2))\nstragey_2d = e\n#print(N,stragey_2d.df['total'][-1],pd.DataFrame(stragey_2d.account).T.apply(lambda x:round(x,3))['value'].sum())", "execution_count": 245, "outputs": []}, {"metadata": {}, "cell_type": "markdown", "source": "\u7b56\u7565\u8868\u73b0\u5b8c\u5168\u8fbe\u5230\u4e86\u6211\u4eec\u7684\u9884\u671f\uff0c\u6536\u76ca\u76f8\u5dee\u65e0\u51e0\uff0c\u5728\u5168\u5e01\u79cd\u539f\u7b56\u7565\u7206\u4ed3\u7684\u5c40\u9762\u4e5f\u5e73\u6ed1\u8fc7\u6e21\u4e86\uff0c\u51e0\u4e4e\u6ca1\u56de\u64a4\uff0c\u540c\u6837\u7684\u5f00\u4ed3\u5927\u5c0f\uff0c\u6760\u6746\u51e0\u4e4e\u90fd\u57281\u500d\u4ee5\u4e0b\uff0c3.12\u66b4\u8dcc\u7684\u6781\u7aef\u60c5\u51b5\u4e0b\u4e5f\u6ca1\u8d85\u8fc74\u500d\uff0c\u8fd9\u610f\u5473\u7740\u6211\u4eec\u53ef\u4ee5\u52a0\u5927trade_value\uff0c\u5728\u540c\u6837\u7684\u6760\u6746\u4e0b\uff0c\u5c06\u6536\u76ca\u518d\u63d0\u9ad8\u4e00\u500d\u3002\u6700\u7ec8\u7684\u6301\u4ed3\u53ea\u6709BCH\u8d85\u8fc71000USDT\uff0c\u5341\u5206\u826f\u597d\u3002\n\n\u4e3a\u4ec0\u4e48\u4f1a\u964d\u4f4e\u4e86\u6301\u4ed3\uff0c\u60f3\u8c61\u4ee5\u4e0b\u52a0\u5165\u5c71\u5be8\u5e01\u6307\u6570\u4e0d\u53d8\uff0c\u4e00\u4e2a\u5e01\u6da8\u4e86100%\uff0c\u800c\u4e14\u957f\u671f\u7ef4\u6301\uff0c\u539f\u7b56\u7565\u4f1a\u957f\u671f\u6301\u6709300\\*100 = 30000USDT\u7684\u7a7a\u5355\uff0c\u800c\u65b0\u7b56\u7565\u4f1a\u6700\u7ec8\u5c06\u57fa\u51c6\u4ef7\u683c\u8ffd\u8e2a\u5230\u6700\u65b0\u4ef7\uff0c\u6700\u540e\u4f1a\u4e0d\u6301\u4ed3\uff0c"}, {"metadata": {"trusted": true}, "cell_type": "code", "source": "(stragey_2d.df['total']/stragey_2d.initial_balance).plot(figsize=(17,6),grid = True);\n#(stragey_2c.df['total']/stragey_2c.initial_balance).plot(figsize=(17,6),grid = True);", "execution_count": 246, "outputs": [{"output_type": "display_data", "data": {"text/plain": "<Figure size 1224x432 with 1 Axes>", "image/png": 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FbGvs6utiH+rloH3FrMoT+nkkGbQlSZKkky6TDWlPpHhqUyPfemwzyXSGH992MRfPqADgzedO4s3nTnpVx6woive7x/pQt10xg7MnlnHZzIoh1S7p2AzakiRJ0gmSzYYEAezrSLK/vYfl25t4ZF0D6/a2U9ea6Nvv49fM6gvZJ0osGuFyu9nSSWHQliRJkobB3tYEP3xmO7VleVw3bzwl+Tl89EcvsH5vO509aVq6UgAEAbxmTjVXzqpiRlUhb1o0keriI3eiJZ1+DNqSJEnSEO1o7OLN33ya/R1JAD5z7+q+beNL4nQlM/zJ5dOZVV3ElbOrmFA28GzdkkYHg7YkSZI0CIlUhl/9YQ9LNzfyixd3U5IX46FPXklnMs3y7c1sqG+nO5Xl829ZQCwSITcWGemSJZ0kBm1JkiTpOO3vSNLaneKhNfX8+PkdbG/soqIwl3EFOXz2pvnMHl8MwKIphy+xJWnsMGhLkiRJRxCGIb9csZs7n9oGwOaGDjp7MgDMrSnm7g9cyBWzKgmCYASrlHSqMWhLkiRJhwjDkH/61Us8uGYvda0J5tYUU1uaR1txnERzN1+69WxuWfTqlt+SNHYYtCVJkqRD3L+qjrue3saiKWV84tpZvPW8yUQjvV3rMAztYEs6KoO2JEmSdMDOpi6++8QWlm5pZGZ1ET//8KV9AftlhmxJx2LQliRJ0phX35YgAP7pV2v4/doGAP71lrMOC9mSdDwM2pIkSRpzwjDku09s5cazaynKjfHaLz9Oa3eqb/u4ghxuPW/yCFYo6XRm0JYkSdKYs2p3K//6wFqau3rYsq+T1u4UubEIPeksbzpnAv/0xrNc91rSoBm0JUmSNCa0dPXwxQfX85fXz+HRdfsA+MaSzQD83evn8cErZrCxvp2J4/IpyPVrsqTBO+af6YIg+H4QBA1BEKw+wvbSIAh+FQTBH4IgWBMEwfuHv0xJkiRp8MIw5CM/fIEfPbuDR9c38Mj6hr5t77poCh+8YgYAs8YXG7IlDdnxjIe5C7jhKNtvB14Kw3AhsBj4f0EQ5A69NEmSJGl4fOfATOIA+9qTrNzV0rftillVI1WWpFHqmEE7DMPHgaaj7QIUB73rHBQd2Dc9POVJkiRJQ/OlB9fzbw+sY2JZPgDfemwLYQhvOXcSABdMGzeS5UkahYZjhoevA/OAPcAq4ONhGGaH4biSJEnSkN29dBsAX7p1IQBNnT1cN388X7r1bNb+8w1UFMVHrjhJo9Jw3IByPbACeA1wBvC7IAieCMOw7dAdgyC4DbgNoKqqiiVLlgzD6SVJI6Gjo8Pf45JOeelsSHsizc1n5JDcuarv9apsM4899tgIViYdzmvr6DEcQfv9wP8NwzAENgVBsBWYCzx36I5hGN4B3AEwZ86ccPHixcNweknSSFiyZAn+Hpd0qtvU0EH40GMsPm8+i8+dBL+9H4DLzzuLxQtqR7g6qT+vraPHcAwd3wFcAxAEwXhgDrBlGI4rSZIkDdre1gQPrtkLwPTKwn7bxpfkjURJksaIY3a0gyD4H3pnE68MgmAX8A9ADkAYht8CPgfcFQTBKiAA/ioMw/0nrGJJkiTpOPzFT1fw9OZGIkHvsl0Hqy01aEs6cY4ZtMMwfMcxtu8BXjtsFUmSJEnDYG9bAoBvvOs8iuL9v/ZWFTsBmqQTZziGjkuSJEmnnhBef3YtN5xV0/fS1XN618zOifo1WNKJMxyToUmSJEmnnH0dSa48ZOmuO957PqmMK9FKOrEM2pIkSRp1kukM7Yk0FYW5/V7PiUbsZks64fwtI0mSpFGnqbMHgErvxZY0AgzakiRJGnX2t/cG7UM72pJ0Mhi0JUmSNOq8POO4s4tLGgkGbUmSJI06L+xoJhYJmFtTMtKlSBqDnAxNkiRJo0ZrV4oP/3A5G+rbOWtiKfm50ZEuSdIYZEdbkiRJo8bjG/exdEsjjZ09XDi9fKTLkTRGGbQlSZI0anT3ZPoeXzDNoC1pZBi0JUmSNGrsbunue3z+1HEjWImkscygLUmSpFGjrrU3aP/d6+cxzqW9JI0Qg7YkSZJGjT0tCRZNKeODV8wY6VIkjWEGbUmSJI0KqUyWl+ramFZRONKlSBrjDNqSJEkaFZas30dTZw+vX1A70qVIGuMM2pIkSXrVtu7vZMXOFlq7UgNu31Dfzv0r605qTT94ehvjS+JcNafqpJ5Xkg4VG+kCJEmSdOoKw5BEKsv6+nbisQiTywv43xV7+Nt7VwEQBFCQE2XBpFK+9o5zqSzK5cu/28BXH9kEQCQ4l9cNY4f5dy/Vs6Opi2kVBby0p42PXj2Txo4k//Srl3hy034+fcMccqL2kiSNLIO2JEmSjuj//mYd3358y4Dbbj1vEuNL8mjs7OHeF3dx89efZGJZPsu2N1Oan0Nrd4qP/OgFHvrklcweXzzoGhKpDHk5UZ7Z0siH7l7Wb9sdT2zhnMllPLFxPwBvOmfioM8jScPFoC1JkqTDZLIhP122k28/voWpFQXcduUMYpGAZ7c2cdH0cnKiEW5ZNJEgCAB42wWT+cy9q1i2vZkLp5Xz49su5ufLd/Hpe1ayZV/noIP2xvp2rv/K44wryKWpq4eq4jhfffsiNja0s72xi+89ubUvZJ83dRwTyvKH7WcgSYNl0JYkSRIAyXSG99/5PMu2N9OTzgJw1sQSfv7hS8nLiQLwtgumDPjecyaXcd/tl3Hfij1cPbeaSCTgmnnVAOw9sLb1YDy2YR/ZECaNy+d9l07jTYsmMrm8gEvOqADge09uBeBzbzqLt18wedDnkaThZNCWJEkSYRjyz796iac3NxIJ4OaFE7hmXjXXn1nTF7KPJRaN8JbzJvU9Ly/MJTcWoa41Mei6ntvaxNSKAu77s8sH3H7e1HEs397MW8+d5L3Zkk4ZBm1JkqQxrDOZZunmRrbu7+RHz+7gT6+cwd/cOG9Yjh0EAVVFcb79+BZet6CWcyaXHfd705ksD69r4OF1DbztKJ3q7//xBbQlUuTnHt8fAyTpZDBoS5IkjWG3/dcyntrUCMDM6iI+fcPcYT3+7pbeYePffmwz33z3ecf1njAM+cAPlvH4hn3EYxE+fOUZR9y3tCCH0oKcYalVkoaLQVuSJGmMWr27lac2NfK+S6dx+cxK5tQUE40Ew3qOz940n8/9+iVyYxGWb2/mgVV1fPam+YftF4Yh33tyK7PGF7OjqYvHN+zjo4vP4D2XTKW21AnOJJ1eDNqSJElj1J1PbaMgN8onr5tNaf6J6Qr/yeXTeXDNXupaErzlm08D8LFrZrFyVwurd7fxwSumkxON8IOnt/Ev96/te99Vs6v41GvnDHvwl6STwaAtSZI0Bj20Zi+/XLGbd1805YSF7JdNKM1j2fbmvuc7Grt4z/eeA2ByeT5VRXG++OB6Fk0p48UdLQB88dazDdmSTlsGbUmSpDFibV0b0UhAXWuCj/34RWZUFg77PdkDmVCWT/2qur7ny7Y39T3+zL2rae1OUVaQw+ffcjZF8RhNnT1UF+ed8Lok6UQxaEuSJI0Rr/uPJ/o9f9OiiRTGT/zXwdqyfFKZsO/5M1t6J1+7/eoz+M9HNwPwjXedy+zxxUBvMJek05lBW5IkaZT7r6XbWLJ+X7/X8nIi3HrQmtcn0oTS/t3ppZt7g/bbL5jCH50/mac2NXLJjIqTUosknQwGbUmSpFHus/et6XtcW5pHXWuCFz57HQW5J+er4KEd6rZEmmgkoLY0j1g0wtSKwpNShySdLAZtSZKkUSydyZIbixANAj59wxzeddFU9nckT1rIBphw0PJc0ysL2bq/k/HFcWLRyEmrQZJOJn+7SZIkjWLbGjvpSWf511vO4v2XTSc3Fjnp90CX5L8S6msPDCMvLcg9qTVI0slk0JYkSRrFntrUez/0WRNLR6yGIHhlma6SvN6lxErzHVgpafTyN5wkSdIolcpkuXvpNhZMLGVWddGI1vL3N80nJxZh5c7edbLL8u1oSxq9DNqSJEmj1I+e2c7mfZ18+z3n9esqj4QPXD4dgM/t7wSgND9nJMuRpBPKoeOSJEmj1Oo9bYwviXP9mTUjXUqfl4eOF+XZ75E0ehm0JUmSRqnW7hTjTrFJx3JjvV8/IyPbYJekE8qgLUmSNEq1dqcoOcWGaIeEAERGeCi7JJ1IBm1JkqRRqq07dcrdCx2GBx6YsyWNYgZtSZKk09SWfR10JNNH3N7SlaLsFAvak8b1ruE9tbxwhCuRpBPHWSgkSZJOQ3c+tZV/+tVLXDd/PN957/kD7tN6Cna0b144gdL8HK6aXTXSpUjSCWNHW5Ik6TSTzmT5xpLNAPzupXoeXdfQb/vOpi6S6QzdqcwpF7SDIGDxnOoRX25Mkk4kO9qSJEmnmaauHva1J7lkRgVLtzTy/rueZ25NMd9+z3kUxmNc8YVHuWxmBQBlBadW0JakscCOtiRJ0mmmK5kB4MYFNSyeU0VhbpR1e9v50N3LWLOnDYCnNjUCnHKzjkvSWGBHW5Ik6TTT2dM7AVp1SR53vf9CAJ7cuJ/3fv9Z/vj7z/Xbd3xJ3kmvT5LGOjvakiRJp5munt6OdmHuKz2Ty2dV8vFrZh+27zmTy05aXZKkXgZtSZKk00zngSW9CuLRfq+/48LJh+2blxM97DVJ0onl0HFJkqTTzEAdbegdSv6yez966Sk347gkjRUGbUmSpNNMX0c79/Bu9YOfuJKQkLk1JSe7LEnSAQZtSZKkkyiTDYlGjn8N6TAMD1tzuq+jHT/8q9ycmuKhFShJGrJj3qMdBMH3gyBoCIJg9VH2WRwEwYogCNYEQfDY8JYoSZI0Oty3Yjfn/PNDrK1rO679mzt7eNu3n2HxFx/l/Xc+x5L1DcArs44P1NGWJI284+lo3wV8Hbh7oI1BEJQB3wBuCMNwRxAE1cNXniRJ0ulvf0eS//OzP7Bk/T4A3vmdZ/jgFTM4b+o4Lp5RMeB7wjDkwz9cznPbmijIjbK7pZtl25v50QcvoiuZIRoJiMec11aSTkXHDNphGD4eBMG0o+zyTuAXYRjuOLB/w/CUJkmSNDp89eGNLFm/j0gACyaV8YedLXzxwfUAvPGcCfzN6+ZRU9p/veuG9iTPbm3iL6+fw+1Xz2RtXRtv+ebT3Pz1p8iNRijIiR42pFySdGoYjj+DzgbGBUGwJAiC5UEQvHcYjilJkjQqPLe1if9+dgfvuHAym/71Rn76pxfzqetm85uPX8F7L5nKfSv28PY7lvLslkZSmSzPbmmkqyfNtv2dAJw1sRSAebUl3Hf7ZQD0ZLK0H5gQTZJ06gnCMDz2Tr0d7V+HYXjWANu+DpwPXAPkA0uB14dhuGGAfW8DbgOoqqo676c//elQapckjaCOjg6KiopGugzplJTOhmxtzbK2KcND21IU5Qb8/cX5FOQc3oH+3809/GJjCoBYAOkQAmBKSYTtbVm+cGU+1QWv9EbWNmb4/PMJAO66ofCkfB5JJ4fX1tPL1VdfvTwMw/MH2jYcs47vAhrDMOwEOoMgeBxYCBwWtMMwvAO4A2DOnDnh4sWLh+H0kqSRsGTJEvw9Lh2uqyfN2+94hpW7Wvteu+9jV3JG1cBfni+9PMuNG/axoaGdX/+hjrm1xdS3JXhqUyOxSMCbr19MLPpK0F4M/HDjI2Syof8flEYZr62jx3AE7fuArwdBEANygYuALw/DcSVJkk4rSzc38smfrKC+PcGnrptNZXGcebUlRwzZALmxCNfOH8+188fz0cUzAUikMrz5G08TQr+Q/bJH/s9VJ+ojSJKGwTGDdhAE/0PvH08rgyDYBfwDkAMQhuG3wjBcGwTBb4GVQBb4bhiGR1wKTJIkabT64oPriEYCfvqnl3DBtPJBHycvJ8pPP3wJ3QfWyz5UPOayXpJ0KjueWcffcRz7fBH44rBUJEmSdBpJZ7J878mtVBTFeWFHCx97zcwhheyXFcVjFMWHY/ChJOlk87e3JEnSECzf3sz/95t1fc+vmTd+BKuRJJ0KDNqSJElDsPXAMlx/ef0cblxQy/RKZwKXpLHOoC1JkjQEW/Z3khuL8OGrziAaOXz5LknS2HP4NJaSJEk6bqt3tzKtosCQLUnqY9CWJEkapN+u3svTmxtZNHncSDv0O8gAACAASURBVJciSTqFGLQlSZIG6bmtTQD80xvPHOFKJEmnEoO2JEnSIO1o6mTO+GLyclzXWpL0CoO2JEnSIG1v7GJKRcFIlyFJOsUYtCVJkgYhmw3Z0dTFNIO2JOkQBm1JkqRB2NPaTTKdZWqF62ZLkvozaEuSJA3Cmj1tAMyfUDLClUiSTjUGbUmSpEFYs7uVSADzagzakqT+DNqSJEmDsG5vOzOqisjPdcZxSVJ/Bm1JkqRBaGhPUluaN9JlSJJOQQZtSZKkQWjq7KG8MHeky5AknYIM2pIkSYNg0JYkHUlspAuQJEk6nTywqo7ntzXRkUxTXmDQliQdzqAtSZL0Knz0Ry/0PS4vMmhLkg7n0HFJkqTj9NPnd/Z7XuHQcUnSAAzakiRJR7FlXwd/f99qWrp6+PQ9K/ttKy+Mj1BVkqRTmUPHJUmSjuJrj2zi3hd3c/fS7QBMqyhgW2MXAJPG5Y9kaZKkU5RBW5Ik6ShyokHf4/m1Jfzvn11GTyZLeyLN+BLX0ZYkHc6gLUmSdBS7W7rJjUa49/ZLOXNCKQCxaISCXL9GSZIG5j3akiRJR7GjqYsbzqrpC9mSJB2LQVuSJOkI0pkse1oSTCkvGOlSJEmnEYO2JEnSEdS1JshkQyaXO+mZJOn4GbQlSZKOYEdT7+zik+1oS5JeBYO2JEnSEbwctB06Lkl6NQzakiRJR7CjqYtYJKC21KHjkqTjZ9CWJEk6gs0NHUwcl080Ehx7Z0mSDjBoS5IkDaC7J8MTG/dz2czKkS5FknSaMWhLkiQN4PltTXSnMlx/Zs1IlyJJOs0YtCVJkgbQnkgDUFuaN8KVSJJONwZtSZKkASTTGQDiMb8uSZJeHa8ckiRJA0iksgDEY9ERrkSSdLoxaEuSJA3AjrYkabC8ckiSJA0gme7taOfl2NGWJL06Bm1JkqQBJA8MHc+1oy1JepW8ckiSJA0gmc6QEw2IRoKRLkWSdJoxaEuSJA0gmc46EZokaVAM2pIkSQNIpjNOhCZJGhSvHpIkSQNIpLIGbUnSoHj1kCRJGkAynXXGcUnSoBi0JUmSBpBMZZxxXJI0KF49JEmSBpBMZ4nb0ZYkDYJBW5IkaQBOhiZJGiyvHpIkSQPoXd7Lr0qSpFfPq4ckSdIAkinX0ZYkDY5BW5IkaQCJdIa8HL8qSZJePa8ekiRJA7CjLUkarGMG7SAIvh8EQUMQBKuPsd8FQRCkgyB46/CVJ0mSNDJ6Zx23JyFJevWO5+pxF3DD0XYIgiAKfB54aBhqkiRJGnFdPWnyXd5LkjQIxwzaYRg+DjQdY7c/B+4BGoajKEmSpJHUmUzT1ZOhsig+0qVIkk5DsaEeIAiCicAtwNXABcfY9zbgNoCqqiqWLFky1NNLkkZIR0eHv8c1ajV0ZQFo3L2FJUt2jnA1ksYKr62jx5CDNvAV4K/CMMwGQXDUHcMwvAO4A2DOnDnh4sWLh+H0kqSRsGTJEvw9rtFq+fYmeHwpV1xwDlfNrhrpciSNEV5bR4/hCNrnAz8+ELIrgRuDIEiHYfjLYTi2JEnSSbevPQlAlUPHJUmDMOSgHYbh9JcfB0FwF/BrQ7YkSTqd9QXtYoO2JOnVO2bQDoLgf4DFQGUQBLuAfwByAMIw/NYJrU6SJGkE7GtPEgmgvDB3pEuRJJ2Gjhm0wzB8x/EeLAzD9w2pGkmSpFNAU1cPZQW5RCNHn39GkqSBHM862pIkSWNKRyJNcd5wTGUjSRqLDNqSJEmH6EimKcw1aEuSBsegLUmSdIj2RJoiO9qSpEEyaEuSJB2iI5mmOG7QliQNjkFbkiTpEB1JO9qSpMEzaEuSJB2iI5GmyI62JGmQDNqSJEmHaLejLUkaAoO2JEnSQZLpDD3prPdoS5IGzaAtSZJ0kM5kBsCh45KkQTNoS5IkHaQjkQagKC9nhCuRJJ2uDNqSJEkH6UgeCNrx6AhXIkk6XRm0JUmSDtKd6g3a+bkOHZckDY5BW5Ik6SDJVBaAeMyvSZKkwfEKIkmSdJBEuncytLwch45LkgbHoC1JknQQO9qSpKHyCiJJknSQZNqgLUkaGq8gkiRJB0mkHDouSRoag7YkSdJB7GhLkobKK4gkSdJB7GhLkobKoC1JknQQO9qSpKHyCiJJknSQRCpDLBIQi/o1SZI0OF5BJEmSDpJMZ+1mS5KGxKuIJEnSQRKpjPdnS5KGxKAtSZJ0EDvakqSh8ioiSZJ0kGQ6S9yOtiRpCAzakiRJB0mkMna0JUlD4lVEkiTpIHa0JUlDZdCWJEk6SCKVIc+OtiRpCLyKSJIkHcSOtiRpqAzakiRJB0na0ZYkDZFXEUmSpIPY0ZYkDZVBW5Ik6SDeoy1JGiqvIpIkSQfp7Wj7FUmSNHixkS5AkiTpVLBsWxPpbEgylSEec+i4JGnwDNqSJEnAW7+1FIBoJCDPjrYkaQi8ikiSpDEvlcn2Pc5kQzvakqQhsaMtSZLGtEfXN/DAyrp+r9nRliQNhUFbkiSNWWEY8v47nz/sdTvakqSh8M+1kiRpzLrzqW0Dvm5HW5I0FHa0JUnSmLRqVyufu/8lXjO3mpsXTmDr/k7+4+GNgB1tSdLQGLQlSdKY8sKOZj7/m3VsqG+nsijOl992DqX5Ofx29Sv3advRliQNhUFbkiSNKR/6wTIaO3sAuPsDF1KanwNAyYF/wY62JGlo/HOtJEkaM8Iw7AvZABdMK+97XHpw0LajLUkaAq8ikiRpzKhrTfR7np/7Sue61I62JGmYOHRckiSNGdsbuwB463mTuP7Mmn7bqorjfY/jMXsRkqTBM2hLkqQxY2dTb9D+2GtmMaWioN+2g7vYeTl2tCVJg+efayVJ0pjQ0tXDp+9ZCcCEsryj7mtHW5I0FF5FJEnSmPC7l+r7HseiR/8KZEdbkjQUBm1JkjQmNLQnAfjy2xYec19nHZckDYVXEUmSNCbUtyUoyYtxy6JJR9zny29bSE1JHgV2tCVJQ3DMoB0EwfeDIGgIgmD1Eba/KwiClUEQrAqC4OkgCI79Z2JJkqSTbG9rgprSo9+bfcuiSTzzt9ccc2i5JElHczxXkbuAG46yfStwVRiGC4DPAXcMQ12SJEnDqr49yfiSowdtSZKGwzGDdhiGjwNNR9n+dBiGzQeePgMceTyWJEnSCKlvTVBj0JYknQTDvY72nwC/OdLGIAhuA24DqKqqYsmSJcN8eknSydLR0eHvcZ020tmQ+rYEyZZ6/7uVdMry2jp6DFvQDoLganqD9uVH2icMwzs4MLR8zpw54eLFi4fr9JKkk2zJkiX4e1yni637OwkfWsKV585n8XkOvpN0avLaOnoMS9AOguBs4LvA68IwbByOY0qSJL0aiVSGjmSayqJ4v9d/umwnq3e3AjClvGAkSpMkjTFDDtpBEEwBfgG8JwzDDUMvSZIk6dXZ2dTFm7/5NI0dST7/lrO59fzJAGysb+fTP1/Zt59BW5J0MhwzaAdB8D/AYqAyCIJdwD8AOQBhGH4L+HugAvhGEAQA6TAMzz9RBUuSpNEhncmyZk8bTZ09dKcyzKgqJC8W5Ter9zK9spDLZ1VSFH/lq0pjR5JMNiQSCagozAXg7qXb+e3qvSzd0khuNEJRPMadT23j1vMnc//KOv7z0U39zlld3L/bLUnSiXDMoB2G4TuOsf2DwAeHrSJJkjTqZLMhQQCt3SnW7W0nAD7zy9Vsaug46vtikYCyghzaEml60tm+18+dUkZuLMIzW5oozotxxaxKblk0kf0dSf7tgXW87j+eYG1dGwALJpby2Zvms76+nUgkOJEfU5IkYPhnHZckSQKgLZHiaw9v5PltzWxu6CCZztKTeSUsTyzL5x/fMJ/yojhnVBWyZk8bbd0prj+zhlW7W/nK7zdw7pRx7GlN0JPOcM7kcUwal8+u5m6+88QWSvJifO5NZ/Hui6ZwYFQdTZ09PLimnn3tScaXxKlvS1JWkMOF08u5cHr5SP0oJEljjEFbkiQNq9buFP/3N+v4yfM7ALhwejk3LaylpStFY2cPbzi7lmgkws3nTOg3NPzMCaV9jyeXF3DjgtojnuMji88gLydCPBbt93p5YS73fORSAFbvbuWmrz3Jwkllw/nxJEk6JoO2JEkaFr9dvZcfPbudZdua6U5luHhGOX9x3ZwT0kkuzc855j5nTSzll7dfxpkTSob9/JIkHY1BW5IkvSrZbEginQHgEz9eQTaEXc1drNvbzoTSPC6bWckHLp/GJTMq+oZ0j5RzJtvNliSdfAZtSZJ0RHtauplQlt/3PJnO8Hf3ruZny3cRjQRkw5Cp5QVsa+ziDQsn8O9/tJCcaGQEK5YkaeQZtCVJUp/OZJq/++Vqtu7vpLY0j9+s3stnbpzHh66cwbq9bXzwB8vY1dzNxLJ8blk0kfOnjeOq2VWsr29nZlURMUO2JEkGbUmSxrIwDFm6uZFzp44jLyfKZ3+5mntf3E1VcZwVO1sA+Pxv11EQj/Ivv15LXk6Ev3v9PN510VTyc1+ZiGxujfdBS5L0MoO2JEljSBiGZENIZ7PsbOrm7+9bzdObG7l8ZiWfvG42v3hxNx9dfAZ/cd1s1ta1UxCP8s7vPMNn7l0NwM8/ckm/2cElSdLhDNqSJI0iYRiyvr6djfUd7O9IsmBiKT2ZLI+sbaCuNcHv19aTTGcPe9+Tm/bz5Kb9BAG895JpxKIRFkzqDdQPf2oxn/rpCtKZ0JAtSdJxMGhLknSKae7sYfWeVjoSaQrjMapL4hTFY1QWxdm8r4NEKktbIkVPOktDe5KORJqmziTr9rbzwvZmOnsyhx0zLydCRWGcG86q4YyqIqKRgNxohHOnljGzuphVu1r5l/tf4tp546kpzev33qJ4jG+/53zCMDxZPwJJkk5rBm1J0mlh2/5Ont3ayNObG2lPpCnNz2FbYye7mrvJjUYojEcpyI3R0tXDGVVFzKwuIj83yrzaEq4/s2bE6v7Dzhbq2xLMrC6ivDCX0vwcGtqTbGroYG1dG3c+tY2Wrh5i0QixSEAsGrC/o4dM9tWH2uriONfOH8/FMypYNKWMcQW5vLijhX0dSd567qR+91Qf6vJZlfz2E1ce9fgjvVSXJEmnC4O2JOmUkM2G9GSypLMhL+1p47mtjSTTWa6aXcXPlu3i3hd305PJkhuLMGlcPt09GaZVFPKaOdWksyGdyTTbGjvZ1thFfVuSxzfuI5XpDavxWIQ733cBl5xRAUBHMk1xXs6w1B2GIdsau9jV3MVzW5uYNC6frfu7aEukWLatiQ31HUd9/9yaYq4/s4ZsGJLKZMlkQyqKcrlkRiVlBTl0pzI0tCVpS6TY3dzNnJpiAPJzolSXxBlfkkc8FiEIAkrzD/9MN5w1cn9kkCRprDJoS5JelR2NXWxt7KQnE9LU2cNLe9po7EyypyVBQ3uChvYk+9qT1Jbm8ceXTmPR5DKe29pEJBJw5oQSCnJfufQ8vWk///irNTR1puhIpkikDr93+GuPbCInGnDN3PF8/NpZ1JbmUVaQO2Bt2WzI/s4k1cW9Q5/bEyn+5her+PXKOt753WeZV1vC2ro2iuIxPnDZNP77uZ3EYxEqi+N84S1n94XYl21q6OBny3aydX8n33z3eUQj/Tu6YRjyuV+v5ftPbe33eiToHW5dnJfDBy6bzuvPrmHzvk5+/1I9K3e1ctuVM5hbU8zM8UVUFcXtFEuSNMoEI3W/1Zw5c8L169ePyLklaTRLpDL897M7uHJ2JTOriwnDkHte2M3Tm/eTG43Q1ZPh3RdPZXxJnGXbmnnDwgkEAXQlM5QW5LCruYvKojirdrfywKo64rEoe1q6mVZRQEE8xr//bgM96SyxSO9Q4pe7xgCFuVGqS/KoKoqzbm8bbYk0Z1QVsnlfJ9AbQGdVF3Pt/GrW7+3g92vrmV5ZyMUzyinMjZGXEyU3FuGsiSWcNbGUVKZ36anzp45jWmXhoH8mL+1p44FVdTy8roG1dW2Hba8syiUWiXD/xy6noigO9Ib2xV9awo6mLgCunVdNQ3uSd144hZsWTuDupdt4eG0Dy7c386ZzJnDT2RM4e3IpG/Z2cPbkUkqO0DEPw9BgLUka0JIlS1i8ePFIl6HjFATB8jAMzx9wm0Fbkk5dzZ09PLu1kYfW1HPr+ZO55IwKwjDkxZ0tVBfHmVCaTxDAkg37+PnyXVw8o4K7n97GxoYO8nOivGZeNQD3r6wjCCAMe8Nu5EDQS2dD8nIiZLIh6WxITjRCz4EZqaORYMD7hM+aWMKHrpjBb55ZzZQpU5hcXsAZVYUsnFRGYTzWr/Zr//0xGjt7+MS1szhzQimrdrfyzJZGntvaRE404M9fM4sPXTHjqPcOD7e9rQl+8vxOdrd0MbemhGvnjac9meKW/3yaqRUF/PMbz2L+hBL+4b7V/HLFHv7qhrl8/rfr+h2jtjSPutYEs6qLeNdFU/jjS6cZniVJQ2bQPr0YtCXpNJHJhqza3crdS7fRk87y2IZ9tCfSQO89ufd85FLW1rXxqZ/9AYB5tSUU5EZZvr257xjjS+J88trZPLZhH797qZ50NuSms2v50q0L2VDfztTyQv7m3pVs2dfJ6xfUsnZvG109GSJBwCPrGvqOM6OykC+89Wwy2ZAzJ5aytzXBzqYuLp5RQX5u9Li+DOxtTRAEML7klVmsX/5DQWVhnCkVBcP3wxuih9fW85EfvkBPJks8FiGZznLDmTV89R2LWL69mdxYhJxowPvufJ78nChffts5XDi9fKTLliSNIgbt04tBW5JOE7f/9wvcv7Ku7/n82hI+8/p5lObn8MEfLKO1O0V3KkM8FuEvr5/Dfz2znZ50lj97zUxuWjCBNXtaOWvSK8OW97YmWLGzhdfOH08kcvSOa0cyzWfuXcVtV85gX3uSC6eX97uf+lCj8cvAYxv2cc/yXTR39VAUj/GNd517WKc6kw2JBM7ALUkafqPx2jqaHS1oOxmaJI2gXc1dbKzv4KrZVXzniS3cv7KOK2ZV8oazJ3DzORP6ZpMGuPP9F/Du7z5LJhvy49suZtGUcXzwihn9jnfpzMp+z2tK87ih9PhmnS6Kx/iPty8ang92mrpqdhVXza466j6HTogmSZJ0KIO2JI2QZDrD++98no0NHbx2/ngeeqmeWCTg325ZwOTyw4dUz6st4fFPX01Ld4qJZfkjULEkSZKOh0Fbkk6wutZuakry+g01fnnZqZcnLXvopXqumVvNl99+zhFnqwYojMf6TTgmSZKkU4/f1iTpBFq9u5WbvvYk1cVxrp0/nr9+3VxK8nL463tWcf+qOv7k8unUlubxL/ev5R0XTjlqyJYkSdLpwaAtScNozZ5WZlYX0dTZw2Pr9/HXv1gFQEN7kv9+dgcXTivnkjMquH9VHbdffQZ/ef1cMtmQ+bUlXHJGxQhXL0mSpOFg0Jak49CWSB2125xIZfjK7zfyrcc2961XDVCQG+VTr53D+y6dxoJ/fJAVO1uoKMoF4PKZvZNuRSPBYZOYSZIk6fRl0Jakg7R09fD9J7eydEsjz29r5qrZVVx/Zg1/e+8qZlYX8S9vOouLZ7zSeW7q7KE0P6cvZOdEA/74kmnUluVTXRznilmVlBX0BusFE0t5cUczUw5MdDZrfNGIfEZJkiSdWAZtSWNWGIbct2IPv1ldRybbG4TX7GnloZfq+/Z5bMM+HtuwD4BNDR18/8mtfUG7pauHq77wKLNritmwt515tSXc+9FLycuJDni+BRNL+a9ntjN3bzvjCnKoKMw98R9SkiRJJ51BW9KY9I//u4a7nt4GwOTyfHKjEX6/tjdgRwJ47jPX0tCWZG9bNz98Zgd/fOk0Hlu/jx8+s52/vmclf9jVyusX1NCeTLN8ezMAn3vjmUcM2QCzxxeTTGf53z/sYdGUsn6zkEuSJGn0MGhLOmUlUhl++Mx2mrt6uPSMSubWFPPMlibm1BQzo7KQSCTot+9dT2/jkXUNxCIBZQU5zKwqYltjF+2JFIXxGG+7YDKXz6wkkw37QvZfXDebP7t6JpFIwDeWbOILv11PbWk+lUVxKovizJ9Qwmvmjgdg8rh8frB0Gz9+ficAa+vaOG/qON5/2TSyIZw/rfyon2fmgaHi3akMr5lbPfw/MEmSJJ0SDNqShmxXcxc7m7rZ2NDOOy+cQiwaGdLxetJZvv7oJn7y/A7q25IA/Oejm/vtM7Esn5rSPHY2dVGan8PGho6+bYW5UcqLcnlg1d6+14rjMe5fVcf0ikK27O8E4MtvW8gtiyb17XPFzCq+wHraEqkB65pRVcQ/3nwmkQAqi+Ks2tXK+y+bRkVR/Lg+18zqV+7Jvv7MmuN6jyRJkk4/Bm1J/TR19lCQGyUnGuHRdQ00tCepLcvjkhkV/YZF3710G4+ua2BjQwe7mrv7Xm9PpLn96pkDHvvBNXv53hNb+f/bu/P4qOqz7+OfK5N9I6whkMiSsCOgLIqgBpVWixWrtsrTRVt796nV7q1629attbV77VNbW5feVq1LXe6qRS0q1B1EEBCQfQuyhy0Essxczx9zCAES1iGHId/365VXZn7n/M65ZiaZM9f8tpr6KP2K8rn+/L5EUoyX563jpblr6VKQxQ/G9ePmf37AY++u4uzeHbnrilJ6dszhzcUbeX/lFk7t1pYN22t4fdFGdtZFOat3R9Zt28UZpe05p18ho8s6EAlauhet2w5A9w457KyL8qm732TJhniSnZ+Zyqh9ZvruW5RHh9x0/vuCfs0+P58/vVvD7cNNlvMz07jlk/3pU5hHSTAhmoiIiIiceMx3r0HTwvr06eMLFiwI5dwiEufuLFi3nbmrt/GxAYVs3VnHBXe9Tn5mGv2K8nh5/vqGfUd0b8ff/+s0dtXH+NTdbza0IPcvyue8fp3o3TmPh95ewdRllZR1yuUrZ/Xk7smLqa6NUpifQVGbLCbNW0fPDjl0bZvFm4s30rNjLjtq6lmzdRfpqSnU1scalsa6pryUG87vm9DHWxeNsasuSl5mGu6uMdJHacqUKZSXl4cdhoiIyAlD19bkYmbvufuwprapRVukFfpg9Va++8Qs1m7bRXVtPXVRp+OLGWSkphCLOflZabw8fz3jTi7ipnH9+Pfctdz23Dwu+dNb5Gaksmh9FZcPK+H2iweQkbqnlXt0WQe+/uhMXl+0keufnN1QvmF7DSs3VXPlyG7cNK4fGakRfjZxPn9+bSntc9J56OoRDO/ejn/PW8fcj7bSq1Mel57aNeGPOy2SQlrQrV1JtoiIiIgcK0q0RU5Am6pqmPvRNs7q3bGhzN35/pOzmblyM6u37CQjNUJmWgp9CtvyhTO6cdPTc9iwvYZfXDqIS4cWM/nD9Qzv0Y42WWl8cVQPstIi/GHyYmZXbGVkz/b8/LJB+523IDudh64+jQ3ba5j70VYyUiOMLG3Pkg1VdC3I2qvr+TfO7UVZp1zO7t2RTvmZAFw0uAsXDe5y7J8gEREREZFjSIm2yHFqZ22Ut5ZspKxTLvmZaRRkpx1yK+yX/zadmSu3AHDtmFK+//G+/HHKEp58rwKAwSUF3Pv5oQ0JLsDInu3ZsrOO0o7xCbvO61+41zGvGHESF5/SlbkfbWVAlzYHPH/HvAzK++yZVXv3MRvLyUjl08NKDunxiIiIiIgkEyXaIseZ+miMP05Zwv1vLGPrzj2zXw8ubsP4IV3p3yWf03u2b7a+uzck2RCfrXtkzw788qUFjBtUxHfH9qZb+5yGCcN2a5+bcdDZszPTIgztduAlrEREREREWjsl2iLHmZ9O/JAH3lzG2P6FfGZYCcs2VrF+Ww1Pz1zN7c/PIzMthbdvPJe2OelN1t89q3Zjn7t/KmkR4/aLBhzyUlQiIiIiInJklGiLhKymPsqidVUsWLudSfPW8dK8tUwYUcLPLtk9Bjrehft7H+/DnNVb+fQ9b3PKjyfx5o3nUJCVxr2vL+WCgUX06ZwHwIwVmwG4+/+cyqndCrjzhQ/55/sfcU15mZJsEREREZEWoERb5BirqY/yzIzV/GvOGnIzUinrlMv6bTVkpUdIixiPTltFVU19w/7n9u3E9z++/7JWmWkRhndvx62f7M+tz83jaw+/R8xhzuqt/PXN5Uz69llc9dd3+XDtNgqy0/jEyZ0xM+664hR+9enBDbNti4iIiIjIsaVEWyTBVmzaQU19jLKOufzq3wt4/N1VbNpRS8+OOVTXRHnhg7V77T+4uA1Du7Vj6rJN/GBcP84o7XDA4181qgebq+u4e/JiurXPZkyfjkxesIHRP59MbTQGwDl9Ou01cZqSbBERERGRlqNEWySBXl+0gSsfmEbMITs9QnVtlJz0CL+7fAjjh8SXrfrjlCUUZKdx4cldqIlG6ZibcdhrOn97bG++fk4ZqZEUNlbVMOwnL1MbjXH9+X2orolyTXnpsXh4IiIiIiJyCJRoixyFnbVR7nt9KVMWbqC6NsrCdds5qV024wYV8cT0Cq45u5TrzinbK5G+dkxZoyOkHfG5U4NW6g65GXxpVA8Gl8RnJRcRERERkXAp0RY5Cvf8Zwl3vbKIwSUFVGyuZlRZB35/xRAKstObHGd9rNz8yf4tdi4RERERETkwJdpywquuref/vbqY7u2z+fu0VeRnpvKlUT0Y3qMduRlH9y/w9pJNDC5uwz+vHUVdNEZqih12N3ARERERETmxKNGWE94r89fzpylLGu63y0nni//zLoX5GXz3Y334zLCSwzqeu/PS3HW8tWQj05ZX8pWzegKacExEREREROKUaMsJ6ZmZFfz8hQXcetEA/hgk2Ved0Z1xg4roV5TPK/PXcdtz87j+ydmM7NmeknbZBzyeu3P/G8t4Zf56auqjzFi5hez0CP2L8rli+OEl6iIiIiIicmJToi0nnPpojG8/PguArz78HgB5mancetGAhn3GD+nKsO7tGP3zV3lm5mq+cW6v/Y7zztJNXP/kbD51SlfOUdNXfgAAF0JJREFU7NWBn/xrfsO2Wz7Zny+M7E4kRd3ERURERERkb0q0JTST5q1j2rJNLF5fRZeCLDrlZdKncy4fH9C5YZzzqspqauqjFOZnUh91bnx6NpecWszKTdW8v2oLI3q042MDCpldsZVpyyo5t18nstP3/rMeVdaeT5xctN/5uxZkMaSkgMkL1vNfZ/YkMy2l4by76qLc8NRsVlZWc9cri3jonRWkR1L4/YRT6FWYS2nH3GP/BImIiIiISFJSoi0t7p2lm3h3WSW/nrSwye13fGogFw7qwrWPzOCNxRv32/7S3HUNt/81Zw23PDu34f79byxruH1NeSnFbbP47Gndmo3lzLIO/P7VxfS7+UV+OK4fY/sX8rVHZjD3o20APPLl0/j24++zfnsN5/btxPkDOx/24xURERERkdZFiba0iF11UZ6ZuZq/vrmMheuqgPj6z09+dST1MacgO420SApff3Qmtz07jxkrtvDG4o1867xetMlK4/F3V/Hh2u0M796WjNQIfTvncdMn+jFz1WaueXgGXxrdg0+d0pXzf/cam6vraJOVxg3nH3x5rU8MKuKpGatZvWUnf5+2kqnLKhuS7AkjTmJUWQe+enYptz8/j++f3+eYPkciIiIiInJiMHcP5cR9+vTxBQsWhHLuYykWc1Ja6bjd+miM+piTmmJMXrCBbu2z6V2Yx5uLNza0CgMM6JJPXmYq3zi3F2eUdtjrGJt31FL+qyls3VkXXzbrutEN23bVRQHITIvsVcfdG7p8V9fWU1MXY1d9lKI2WYcc+xPTV3H9k7MBuHZMKaNKOzC8RzvSIinEYs7WnXW0zUk//CdF5AQ2ZcoUysvLww5DRETkhKFra3Ixs/fcfVhT25K2RTsacyIpxqrKal6au5apyyqZv2YbvTrl8qML+9MzwWNoP9qyk6y0SLPJ1rRllUycs4bH313F5cNLuPnC/q0m4f7zf5bw0DsrqNi8k7yMVC4fXsJ9QRfu3oW5rKrcSVGbTH53+RA65WdS3DZrv2R5t7Y56dx8YX/ufX0ptzSavAz2T7B3a7xudXZ6KtlHkA9fdmox89dsY2dtlGvHlO01zjslxZRki4iIiIjIITtoi7aZPQBcCKx394FNbDfgLuATQDVwlbvPONiJj6ZF+w+vLuK3Ly+if1E+SzZUUV0bJT01hY65GWyprqW6Lso3z+3Ft87rfVjHrYvGqNpVT0F2Gv+et47F66tok5XGrFVb+Md7FWSnR/jNZ4bQvyif52Z/xOYdtRRkp7F22y4efmclkRSjW/tslm7YQYfcdM7p24nlG6v5+WWD6NEh54ge6/EuGnOG/WQSm6vrKMzPYN22eKt1VlqE684p48UP1rJ9Vx2/n3AKg4oLQo5WRBJJ37qLiIgklq6tyeVoW7T/B/gD8Ldmtl8A9Ap+TgP+FPw+Itt21bGqspq1W3exZusuKnfUEo05ZpCemsKT0ytYunEHhfkZxNw5r18h144po1enXFJSjPXbdvHfT8/hdy8v4sqR3SnITuOnE+dTVRPljosHNtvKvKqymu888T4zVm6hc34mq7fsbNiWYvE1mGeu2tKwXBTEk8mddVHM4LKhxdx4QV/a56Tzt7dX8Oi0lTwxvQKAbz02c68u0MeKu1MbjZGR2nTLb1M2VtVQWx+jS8HBu1nX1EdZuamaXoV5DWUfrN7K5uo67rpiCOOHdOU7T7zP0zPiy2VdU17KtWPKjuixiIiIiIiIJKuDJtru/pqZdT/ALuOBv3m8afwdMyswsyJ3X3Og41bucm59di510Rh10RgVm3eycN12NlbVHlLg931hOCcXt9mvvFN+JleP7sErH67n6Zmrmbp0E/+eF5+levrySm69aAA5GalMX17Ja4s2MqhrGzrkpvPrSQupqYsxuqwDqSnGpUOL+dzpJ7FwbRXFbbPo3iGHrTvreOjt5aSnpjBuUBe6FmRRUx+lLurkZux5Kq88oztfGNmNmvoYT0xfxc3/nMsHq7cysOv+8R6K3b0OdtZFmThnLXXRGGmRFJZuqCIrLULMYfGGKmZXbGH15p2M6NGO28cPpKzTnu7zG7bXsGDtdvoW5VG5o5aXPljLkg1VvDh3LfVR56lrzmBwSfMtztGY84X7pzF1WSVfKy/l3H6FDO3WlmnLKgEaxlrfPn4g//esUnoXavkrERERERFpnQ5pMrQg0X6+ma7jzwN3uvsbwf1XgBvcfXoT+34F+ApAemHp0NIv30VqCkTMaJNhlOSlUJRjdMxOoV2m0S7TyEs3IgbLt8V4eF4tVw3MICMCnbJTmo23us752ivVDffPOymV4rwUJi6rY31104+3Q5Zx/fDMAx73SOyoc775ajXndkvlkl7pbKtxOh4k9uy0Pa3uMXfunV3D7I3R4Hh79k0xiAUPJz0CXXNTWFMVY1cUOmYZPzg9k9cq6smMGBOX1bGlZv/H3jbD2FzjfLJnGpf2bn4c8qLNUe6YumuvsowIdM5JYVuN89sx2YfydIjICaSqqorcXH2pJiIikii6tiaXMWPGHB+Tobn7X4C/QHyM9ryfjDus+l8cf+j79przHxatr+K6MWV87+PxZZlurIvS90cvAtC/KJ+/fGEoG6tqmb68knGDig5rlurD8WTFNGZ8tI0l1SksXl9Fu5x0nrrmDOZ9tI27Jy/mM8OKuWpUD558r4Lv/WMWeRmpXDasmOvGlPHG4o28veZ90iMpjB1QyJUju1PSLoudtVG6ts1i6YYdbN1Zx2k92jVMCjZr1RY+/ee3+c0sY2VlPDMvapPJFad3ZcaKzUxbXkm/onxuOL8PQ7u15XP3TWWdRygvH8mqymqemlHBdWPKSI3EvxCoi8Z4+OH3iKTUMOOHY3lt0Qa+/uhMaqKwYluMc/t2orx8+DF57kTk+KVxZCIiIomla+uJIxGJ9mqgpNH94qAsVPdfOZw//WcxV43q3lCWmRbhf68dxfTllXz5zJ4AFLfNZsgBukwnwtj+nZm8YAMbguWtKnfUMuZXUxq23/rcPH4zaSHbdtUDUFaYy1/fXM5zs9aQnR6hd2EuL37zrCbHl/cryt+vbHBJAWP7F/Kv2Wvo2zmPOy8dRFmn3Ibu7S9+sJbBJW0avlg4s1dH/jhlMZ+97x3eXLwJiD8v762oZFBxAW2y0nh5/nrK+3SkTXYaFw4qYtK8dfxn4Qa27qxjaPe2CX2+REREREREklkiEu1ngevM7DHik6BtPdj47JZwUvtsfnbJoP3Kh5QUHPPEel+jy/asFT3zR2P52QvzeWJ6BcVts3jyq2dw8d1vsnbbLvoX5fPXLw6nMD+TB99azi3PzgXg8a+cfthLhV00uAsT56zh1osG7Pd4zx/Yea/7Xy0v5YnpqxqSbIDv/WMWAI9OW8UPx/UD4NefHgzEl9P6/YRTAFi2cQddCjIPKzYREREREZET2UETbTN7FCgHOphZBXALkAbg7vcAE4kv7bWY+PJeXzxWwSark9rvGb/cNied28cPpGtBNhec3JnObTJ5/hujyUhNIS8zrWG/z5/ejZyMVAZ2zadv5/1brQ/mY/0LmXbTeXTMyzjovrkZqTxw1XB+9/JCbhs/kFjMeezdldz7+jJq62O8+uF6UgzaNrFA9Ym6bJmIiIiIiMiROqTJ0I6Fo1lHOxnN/WgrmWkRSjsmz+QGKzdVc9YvJ5OaYrTJSuO9H40NOyQROY5oHJmIiEhi6dqaXI52HW1JgAFdjmxprzB1KcgkNcWojzntcpqfkVxERERERET2SOxaVnJCSY2k0LVtfMI0JdoiIiIiIiKHRom2HNBJ7eLjy9vnKtEWERERERE5FEq05YB2d3mvro2GHImIiIiIiEhyUKItB3TtmFJOOamAS08tDjsUERERERGRpKDJ0OSA8jLTeOZro8IOQ0REREREJGmoRVtEREREREQkgZRoi4iIiIiIiCSQEm0RERERERGRBFKiLSIiIiIiIpJASrRFREREREREEkiJtoiIiIiIiEgCKdEWERERERERSSAl2iIiIiIiIiIJpERbREREREREJIGUaIuIiIiIiIgkkBJtERERERERkQRSoi0iIiIiIiKSQEq0RURERERERBLI3D2cE5ttBxbsU9wG2HqEhzyaumGeOxnrhnnuZKwb5rlbW90wz52MdY+2fgdgYwjnTdbnS3WT49zJWDfMcydj3TDP3drqhnnuZKwLre/amux/X33cPa/JPdw9lB9gehNlfzmK4x1x3TDPnYx1kzVuPV8nft1kjTuJn6/93seP98esv6/kqJuscev5So66yRp3MtZN1rhDfr5a1bU12f++DvR6HW9dx58LqW6Y507GumGeOxnrhnnu1lY3zHMnY91E1A/jvMn6fKlucpw7GeuGee5krBvmuVtb3TDPnYx1j1YyPuYT9u8rzK7j0919WCgnFxGRo6b3cRERkcTStTW5HOj1CrNF+y8hnltERI6e3sdFREQSS9fW5NLs6xVai7aIiIiIiIjIieh4G6N9QjOzB8xsvZl90KisnZlNMrNFwe+2YcYozb5Oj5vZ+8HPcjN7P8wYBcysxMwmm9k8M5trZt/cZ/t3zczNrENYMUqcmZ1vZgvMbLGZ3RiUPRKUfRD8z6WFHac0+1qdY2YzgtfqQTNLDTvO1qypa1RQ/nUz+zB4P/xFWPFJXHPXKDP7sZnNDj5P/NvMuoQda2tnZplmNs3MZgWv1W1BeQ8zmxq8Hz5uZulhx9raNXONMjO7w8wWmtl8M/tG2HHuphbtFmRmZwFVwN/cfWBQ9gug0t3vDP5g2rr7DWHG2do19Trts/3XwFZ3v73Fg5MGZlYEFLn7DDPLA94DLnb3eWZWAtwH9AWGuvuRLpMhR8nMIsBCYCxQAbwLTAC6Ay8Eu/0deM3d/xRGjBJ3gNfqJeBcd19oZrcDK9z9/vAibd2a+SwxBvgBMM7da8ysk7uvDzPO1q65axRQ4e7bgn2+AfR396+GGGqrZ2YG5Lh7VfCl7xvAN4HvAE+7+2Nmdg8wS9ep8BzgGnUaMAa4yt1jx9P7n1q0W5C7vwZU7lM8HngwuP0g8TdhCVEzrxPQ8Gb8GeDRFg1K9uPua9x9RnB7OzAf6Bps/i1wPaBvEsM3Aljs7kvdvRZ4DBjv7hM9AEwDikONUqDp1+pSoNbdFwb7TArKJCTNXKOuAe5095pgn+PiQ2Zr1tw1aneSHchB16nQBZeiquBuWvDjwDnAk0G5PqOHr8nPE8Tf/2539xgcX+9/SrTDV+jua4Lba4HCMIORgzoTWOfui8IORPYws+7AKcBUMxsPrHb3WaEGJbt1BVY1ul/Bni9ECFoPPg+82MJxyf6aeq06A6lmtntG1cuAkpYOTA6qN3Bm0M31P2Y2POyAZI/G16jg/h1mtgr4LHBzeJHJbmYWCYYFrif+heISYIu71we77HXtklA093miFLjczKab2Qtm1iuU6JqgRPs4ErTs6JvN49sE1Jp9XDGzXOAp4FtAPXAT+uCSTP5IvNv462EHIk1y4Argt2Y2DdgORMMNSZqQCrQDTge+DzwR9MCSkDW+Ru1uzXb3H7h7CfAIcF2Y8Umcu0fdfQjx3lUjiA89k+SQAewKlti6F3gg5HgaKNEO37pgHM/u8TzHTXcH2VswAdAlwONhxyJxQWvoU8Aj7v408W81ewCzzGw58QvmDDPrHF6Urd5q9m4BLQ7KMLNbgI7Ex8FJ+Jp8rdz9bXc/091HAK8RHyMnx5cK4mNJ3d2nATFAE0GGrIlr1L4eQUMxjivuvgWYDIwEChpN/thw7ZLQNPd5ogLY/f/1DDCoheNqlhLt8D0LXBncvhL4Z4ixyIGdB3zo7hVhByIN4+XvB+a7+28A3H2Ou3dy9+7u3p34m++p7r42xFBbu3eBXsHsrenEW0efNbMvAx8HJuweVyWha+616gRgZhnADcA9IcYoTftf4pMBYWa9gXRAk0CGqKlrVFDeuFvreODDlo5N9mZmHc2sILidRXyyrfnEE+7Lgt30GT18TV6jaPT+B5zNcfRlsJboaEFm9ihQDnQwswrgFuBO4l28rgZWEJ9oS0LU1OsUzLB7Beo2fjwZRXxs7xzbs9zaTe4+McSYZB/uXm9m1xGfuToCPODuc81sFvH3vLeDHq5Payb/cB3gtfqlmV1I/Mv5P7n7q6EG2so181niAeCBYMmvWuBK17IyYWvyGgVcbWZ9iPc6WAFoxvHwFQEPBrNapwBPuPvzZjYPeMzMfgLMJP7FiYTkANeoO4FHzOzbxFdk+HKYcTam5b1EREREREREEkhdx0VEREREREQSSIm2iIiIiIiISAIp0RYRERERERFJICXaIiIiIiIiIgmkRFtEREREREQkgZRoi4iIiIiIiCSQEm0RERERERGRBFKiLSIiIiIiIpJASrRFREREREREEkiJtoiIiIiIiEgCKdEWERERERERSSAl2iIiIiIiIiIJpERbREREREREJIGUaIuIiIiIiIgkkBJtERERERERkQRSoi0iIiIiIiKSQEq0RURkP2bmZvZwo/upZrbBzJ4PMy4REZFkZ2YXB9fZvmHHIseOEm0REWnKDmCgmWUF98cCqw/nAGaWmvCoREREkt8E4I3g9yEzs8ixCUeOBSXaIiLSnInAuOD2BODR3RvMbISZvW1mM83sLTPrE5RfZWbPmtmrwCstH7KIiMjxy8xygdHA1cAVQVm5mb1mZv8yswVmdo+ZpQTbqszs12Y2CxgZXuRyuJRoi4hIcx4DrjCzTGAQMLXRtg+BM939FOBm4KeNtp0KXObuZ7dYpCIiIslhPPCiuy8ENpnZ0KB8BPB1oD9QClwSlOcAU919sLu/0eLRyhFToi0iIk1y99lAd+Kt2RP32dwG+IeZfQD8FhjQaNskd69skSBFRESSywTiX2QT/N7dfXyauy919yjxHmSjg/Io8FTLhiiJoPFzIiJyIM8CvwLKgfaNyn8MTHb3T5lZd2BKo207Wig2ERGRpGFm7YBzgJPNzIEI4MC/gt+N7b6/K0i+JcmoRVtERA7kAeA2d5+zT3kb9kyOdlWLRiQiIpKcLgMecvdu7t7d3UuAZcCZwAgz6xGMzb6c+GRpksSUaIuISLPcvcLdf9/Epl8APzOzmah3lIiIyKGYADyzT9lTQfm7wB+A+cST7333kyRj7vv2UhAREREREZGWYGblwPfc/cKwY5HEUYu2iIiIiIiISAKpRVtEREREREQkgdSiLSIiAJhZiZlNNrN5ZjbXzL4ZlLczs0lmtij43TYo/6yZzTazOWb2lpkNbnSs881sgZktNrMbw3pMIiIiImFQi7aIiABgZkVAkbvPMLM84D3gYuKzile6+51B0tzW3W8wszOA+e6+2cwuAG5199PMLAIsBMYCFcQneJng7vPCeFwiIiIiLU0t2iIiAoC7r3H3GcHt7cRnPu0KjAceDHZ7kHjyjbu/5e6bg/J3gOLg9ghgsbsvdfda4LHgGCIiIiKtghJtERHZj5l1B04BpgKF7r4m2LQWKGyiytXAC8HtrsCqRtsqgjIRERGRVkFrn4qIyF7MLJf4up7fcvdtZtawzd3dzHyf/ccQT7RHt2igIiIiIscptWiLiEgDM0sjnmQ/4u5PB8XrgvHbu8dxr2+0/yDgPmC8u28KilcDJY0OWxyUiYiIiLQKSrRFRAQAizdd3098grPfNNr0LHBlcPtK4J/B/icBTwOfd/eFjfZ/F+hlZj3MLB24IjiGiIiISKugWcdFRAQAMxsNvA7MAWJB8U3Ex2k/AZwErAA+4+6VZnYfcGlQBlDv7sOCY30C+B0QAR5w9zta7IGIiIiIhEyJtoiIiIiIiEgCqeu4iIiIiIiISAIp0RYRERERERFJICXaIiIiIiIiIgmkRFtEREREREQkgZRoi4iIiIiIiCSQEm0RERERERGRBFKiLSIiIiIiIpJASrRFREREREREEuj/A8xc2O+GRPYuAAAAAElFTkSuQmCC\n"}, "metadata": {"needs_background": "light"}}]}, {"metadata": {"trusted": true}, "cell_type": "code", "source": "stragey_2d.df['leverage'].plot(figsize=(18,6),grid = True);\nstragey_2b.df['leverage'].plot(figsize=(18,6),grid = True); #\u7b5b\u9009\u5e01\u79cd\u7b56\u7565\u6760\u6746", "execution_count": 247, "outputs": [{"output_type": "display_data", "data": {"text/plain": "<Figure size 1296x432 with 1 Axes>", "image/png": 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nlociIocup80hQNvO7v7FL0GnwdaxAKip87GnMiQgkM5dDPZnEAyB7qMsOALRv3tFRCRtKEAgrYtTORoayCDoZevDzoKsPFjxlm3XVgaP2QJrZ8BbN9ldof0ZBME0yuI/2rJdDzjvPrtbpAwCEZFDVyBYpBCg28jwx4afs3/1u0/MZ+zv3nUfy8xpvPtOPKr3tny73ao9gAdyi2w7MxggUAaBiEhaU4BAWpe9IcUCI+dBequscFRRb9vOaWsnclsXwub58Iee8M4vbd2x5XM3g6BLMINg12oYcib8dDn0Pgry26sGgYjIoczvA0/wlKqgqy3ziizzbPRl+w8rXmFtD/3+4MV8c3QxKN0Af+oDnz58cK/TVNWl9v3nTNFzMghUg0BEJK0pQCCtS2iXgtC7GLvWwJ8HWhpo34nu/h5HWICgZKltf3h/eIBg7xbY50wxGOru7z3OXc8r0hQDEZFDmVOkEGz6GsBXn4brP4VOh9U7vKI2mDXQHFMMti2y5cppB/c6TVVVat9/jqw8WypAICKS1hQgkNZlz5fuel219aD21cHil8G7z/b3O9Y9pucYm5aw6VN339LXbPoAQOV2yyDIyIYO/d1jeo931/Paa4qBiMihLOBzaxAMOQ1uXgv9j6t3WIaVIqCi2gkQZMfuYrBvNzx4LJQsafi9nTa7bTodwMAPgncfZLd1tzOzAY+mGIiIpDkFCKR12b0OCoNTCPbtgr8MhrdvcTMLTvqlVVt29DjClqvfC3mNNTD4VMADGz+1tM0uwyC3wD2mX8iJX16RphiIiBzKQjMIANpGv1jPz7YgQnlogGDDh7B2Zv2Dty6AksVuhkAsu9ba0knxbynefeHfpx6PZREoQCAiktYUIJDWw++zuZhdg8UE1xbbct4jsOhFGHginHBz+HO6DLfsgL2bILfQ3d97vFWiXvwi1FbAhQ/Z/gnfg0sehcyQE8F8ZRCIiByy/H5bejIbPTQ/x747KmqCWQOZObZ8/Lz6B+8OXvh7qxp+0V2rbdnSgerafZCdH74vO98t+CsiImlJAQJpPSp3gt8LHYPzPVeFVIr21UC3w+s/JysHuo2w9c6DYcgZUNANBkyGtl3trlBWPnQNHnPmn2DkxeGvkdfeMhTuOxL+2LflK0mLiEjy+IPZABmNn1K1yYnIIGgoqLA7mPnW2Jz+so22dNoOthRvZfgUA4C8wvBuQiIiknayGj9EJE1UlNiyfV9b7t0MRX2g63Dr0Tz+O9Gf12ucFSrMLYSvP+fuL+gC27GMhIZO/I68Cj79l01NAKt70K7bQf84IiKSBgI+W2Y0fkpVL0BQWx77YKemTmMZBM53X4sHCKrqZxDkFVnLRRERSVvKIJDWo2K7LZ0AAcCUW+HyF+DkX0Nhj+jPG3q2LbcvDd9fELzId7IHYukxGvoe427vWBb/mEVEJL35gwGCuKYY2DEVNcEAQUPTApwpBg1lENTVWr0daPkAQW1EDQKwQLsyCERE0poyCKT1iMwgALfdVEMGnGDLkF7VABz9XWjbBcZ9s/HXCK0evX05DJzS+HNERCT97Z9i0PgplVukMFiDIFaL3EDAnWLQUAbB6um2zC20rgctybsPsiMCBHlF7rhFRCQtKUAgrUe0AEFeYfRjQ2XlwG3bIDOiAnTvcfYnHvkd3PWdK+J7joiIpL9AsEhhRuMZBHnBAMH+NodVwQK3GdnhB345G+qCgYFYGQRbv4Bnv2brXYbBpk+i39VPlGgBAmUQiIikPU0xkNajYrudnLTpCGf8CW74LP7nZufHVWAqptAMAifdU0REWr/9GQSNBwj8wSK2e50AQU0wQJDbzj1oxwp47Bx3O1YGwZqQ9rz9gtPcdiyPZ8QHz1cHvtooGQSF6uojIpLmFCCQ1qOixKYEAEz8HnQ6rOXeu01Hd10tnuK3Y6XbIkxEJB01oQaBz28BgkqnBkH3UbbMyrMgd/Vet54O2LSFWBkEq0MCBEPOtOXaGbD0taaM/sB499kyag2Ccn2ui4ikMQUIJL15q6yd4ey/2t2U9n2SM47Q9NCaiuSMId2smg7/GA+fTNXfmYikrybUIHACBF5f8AL6qteg55HWiveJC2H6b8LvwHcYEDuDoGSJBcV7jYPe4y2T7b3/g+evhPKSg/mJGucECKJlEBBouDuDiIikNAUIJL2980t46hKYfrudVDXWcaAlKIOgcT4vTLvV1qf9DJ67PPzxrV/AvH9boS4RkVS2v81h4xkEdU6AILikTUfoN8lqB+xYAXu3uIULr55mUw+iZRBU7oKq3XDsjfCd9yEzyy24C9bmN5FiBgiKbKlWhyIiaUsBAklv2xaFb3cdnpxxhE5n0J2Thn1wDzx4LOxaBfnBqRlri93Hq/bAP4+HN25023xt+BgePgXuGwvrPmjxIYuIxHQAUwzqfCEp+Fl5VpDQ77X0fKf1YdfhVh/HGxIgqN1nnXJ2rbLtzkPcxyZc567v3XIgP0n8ahuYYgAqVCgiksYUIJD0VhNxMd5pUHLGMeR0+Pa71hJRGQSx+epg1l3W6eH0P8APPoZ+x9ljTouuXWvd4+8/0tp4rZwGmz61gMGyFphfKyISL3/8GQRugCAkOyorz12vKQ9mEHjsYtsJHjjeuBEemAAbP7HtzoPdx/pOhMuesvVEBwhiZRDkt7dlS7dcFBGRZqMAgaSvuhpLyQTo0B/GXwO9jkreePocbemgmk8fW8liO7G8+BE45gdQ0BUm32yPbV1gy4qIubOz/gJ7vrS5uP2Pt0CBiEiqaMIUA1/kFAOA7IgAQVWppepnZAQzCEICBKun2/KL56w1b2hbX4ChZ1lNnGRNMSgK1gEq3ZDY9xcRkYRRgEDSV+kGOzG78J/wo4Vw9t2QlZPcMeUUBFNFffEd/+nDsOQVW0/2fPsdK+Cfk6FkaeLew7nr1WeCu6/HGMADm+bZdsU2Wx5zvaXsbvkc1n9oQaDe421aiTdGVW8RkZZ2AEUK600xcDgZBM6d+Ky88ABBToEtSxbb1LbIoERGBhT2SHwGgRMIj5xiUNQH8EDp+sS+v4iIJIwCBJK+9gRPQNr3S+44Qjknb7WNZBF4q+Hx8+HNn8IL34R1s+D33WHxSwkfYj271lhBqUUv2F385644sNep2hO92nZVqf2s2xbDzpWQWwRFvd3H89tbcckNH9l2eQnggVNuhxvmWZCgYpsFCDoPtpPx8q0HNkYRkeZ2ADUIvA0FCKpKIS8YIMjOgz3r7DvC7wvPsAqdXhCqsFfiAwTOZ3C7HuH7s3Ls/fcoQCAikq4UIJD0UlVqF9GBgHuHIjLFMply2tqysToEm+eHF+Z77FyrVP3SNS2bSeD32Tz/P/WB5W/avt1r69d2iMed/eHRM+rv3/aF/awPHQtlG60VpccTfkzfiZYlMPteS41t0wkys6HjQDjuRjsmOx/adrX10D7hIiLJtH+KQRwZBAEnQBA6xSA/5IAaqNzhZhBkBrPiHjsXyjbZ90TbLrYvp130NynsmfgpBnu32M/rjCVUh37KIBARSWMKEEh6eekaePFbsHWhnYBkZNe/g5FMucETtsbqEOxYbssfLoArXnb3B/xui6tYaipg9Xvxj2nxy7A3xh330LtR25dC18OBgLUZbAp/8G6YU0cg1L5d7vrOle4c1VCTrrde4NN/A58/Ae26hzx2g9WXGH+N1SyIHHdr46uD0o3Jn3IiIvHZX6Sw8VOq/VMM/KEZBLnhB5VtctsF7lzl7nc+944NBk0HnRT9TQp72h3+RH6G7N1i373R6i6072cZYb/vaRlqIiKSVhQgkPThrYbV79r6zD/DnL9BUa+4TspazP4MghgBAr8fvgim8ucUWNr8oJPh8Avdu+ONVX9+/w548iJY+T+o2NHwsTUV8OLV8NRXoj9eFnGXacK1tox2od+Qqj3uemT/69Ax7l5rGQSROg6Eb77pFrwq6OY+lp1v9SU6HXZoBAjmPQr3joRptyZ7JCISjyZMMXACA+FdDIIZBM5Ug3073elqoRfglcHP0v7HwS+2wOEXRX+Twl6WaRD6udzc9m62QEQ0zue0txIWvWhFZtfMUNBTRCRNpNCVlUgjdofciVgRTIcfe2VyxhJLYzUI5j0CL18Dnz1u/audVPuv/AfO/7utN3ZS58z9fPpS+OuIhgMKzgnl7hh3cco2hm8PPdvS+0PvWjVky+fwyb/cwoIAnz0WMYaI6QDRMgggWFyrl633HBP9mDadAY/7c7VGO4OdOTbPT+44RCQ+TShS6CQOhNcgCGYQdB7i7nOmHVzwEPQ+2tadu/Ftu1gwOnKqlsO5cE/kNIO9W2IHCEKnHQT88O+z4YkL4I6uFiBvKFDg98O8f0evZyMiIi1CAQJJPZW7ol8k715rSye9csBkOOGmlhtXPHKDAYJYc/g/e9xd7zo8/LH8jrYMTcmPJvRxX23Dcz0bey3nBLLr4bYs6GIX8E7gYN0smPtQ7Oc/ewW8dZPVDwCbEzv99vCsgciL+YZqRtQEsw/6HRv98cwsC2DEm0FQVwtfzm7ZO1f7dltBxgPlTAcpb8VZEiKtSRPaHO7PIPBHqUHQdUT9fYU9YMJ3bd3J7GrbueE3cQKtiSpU6PcHAwS9oj8eOj6/F/ZusnVfrQXI378j9msveRneuNHq0YiISFIoQCCp54VvwCvfq7/fCRAcdyOc9Cs4928tO654OJWnq8vqP+atgpIl7naPiLvkbYIBgt1rrdXgqnehdl/919m1Bo74Olzzvm2Xb6t/jKOxO+1lmy3r4Tvvw63BoEBRb5sDC1YYa9rPYtdUcNpKzv6rLS/6p91NW/SCe0zFDug0yN3uNyn2eMZ/x5Z9jo59TEE3K1L42g3wv9tiHwdW0+A/Z8O7v274uOb0xAVWkDF0jnFTOEGbim0W2KgqdXufL37ZppaISOrweW0ZV5tDW3rrQj4fuo2EcVfbVDNHdkj7QOdCfMsCq00QWbMgUqIzCMq3WDvfjgOiPx4aIFj3gbt+/E9t6dTgiaZ0gy0PpFCuiIg0CwUIJPWULLYihKG2L3Mv8vI7WOZArJOTZHIqT0fLgNi22L3TBPXT6J0AwbRb4cFj4KlL7CI4VE25nZx1Gmh3lqDhln/7AwQxUlErtlmhqew8yCu0fe37WoAg9K77xrnRn19XY0vnRHTAZKsn4LQs/Oxxmw4S+lrO/NRojv8p/GKrW+wxmo4DYNM8e+2PgtMyqsvc7haOnavgk6m2PvdBqNwZ+zWbQ1WwuKTzu3ugJ+fOv6ev1n6P/nUSPHkxbJhr9SSevvTgxyoizcfJ1GrTqdFDfcHAoTcsgyAPzr3XatLs3xcSIOgQbOW7e030rgGRCrpZPYREZRDsWm3LTjHaLLYJCRA4U6WuLYaTf23fEQ11oXGK9GbnxT5GREQSSgECSS37dttFUfmW8DsInz1hy9A70akotwjwuBeLoZz00IFTbNltZJTnRlj8Ijx0nNsScX3wwrvnkVbU0JMRu0MBRM8g+HKOW7egao8FXEIV9bYaCps/c/eFtmR01NXYCehxP4GeYy17IrfAKlg7F8eLgx0aeo+HM/8MX3069ljB6hDktGn4mD4TwusaBAKWcfLit2DbIrvDvuRV+N8v7CT7G69bmuu8Rxt+3YOx+TO4s58FIhzOSXQ8pv/W5t36vHby7Jx4b/nMrR/x3v+5xzuBkEAAPn/KpuWISHI4U55Ci6vG4EwtqPNFyTAKDYyGBgja9XBbGsYTIMjItE4wiQoQODVqOscIEITVIAgGxZ0pdAXdGp4i5mQQRPsOFRGRFtF4PpxIS9q9zl3fuQp6HWnrO5ZbKvzlL0R/XqrIyLAU0GgZBKUbrKf115+3O06RF8KxujFsW2QXv7eshTXvWcXrfsfafPy2XaNnEPjq4O/j3OCBd59V2vbXwX/OspoD3//QTsIi7+gX9balM02gXQ/48H4LbAw6xT2ubBMQsJPESTe4dQuKesOqd2y9ao8FQs7+S8NZAU3R95jw7fJtbtHK9++AVSEp+KfdAQNOgGHnQPEf7Wcd983mGUeoFW/ZMrTzwLZFFtCK1rUhVE05zL7H1gedAgTs937XKtj4iXvc+jnu+ivfhcGnQfdR8N/v2/OueKlZfhQRaSugUMwAACAASURBVKKK7ZDd1q1B0wD//gBBlLoooc93ahCAFSPsdJgFmZ3P58YU9kzMFIN5/4Y599nPG6vFcLQaCU6GXEFX+/sKBKIXWXSCD625EK2ISIpTBoGkFqfOAIRX0i9ZDCPOt/T1VJffwU2TDFVdZnfZs3JjV3+OZd8uu2O/8RPoM95Nv2zXPXoNgvIt1lrKF5wCQMAu1p0Txu3BWghVe9y6CY4+EwEPfPyg3cWa8nPb/+TFNgfWsXOlLTsOtJO/HkfYdlFvu0O05n2rl9BvUvMFB8CyFY76NpwYrD8wdbL72KqI+flHB4t7nXUXtOtp01QOtDZAQ9YWQ25h+L53f2XtCrcva+S5M911J9jTc6wtY3Uy+OI5q7/gPL6liW0pRaT5VJQ0PHUqhJNB4I32OZQTI0AAbtbX0LPiG1Nhz+bPIKguswKCZRtgzNdid1GIrJGQkeX+bAXdrH5BZI2BLZ/Dwufsux4aL7ArIiIJowCBpBYnQJCR5bZ7K1lqJ2DdRydvXE2R3z56BkF1qVujIJbjb7IL32tnwvcj5v1vmmd/P6HzPtv1iJ5B4BQZBEv5B8vCCN1fVRp9TO26WZ9tgA4DYMzlcPbd9m/y0T/c47YssCkOkVMlnDtcT1wIteXNPy0kMwvOuQeGnG7bFSUw4Tq47CkY/VUYc4XtH3mJW0SxsCecdJud4D53OXirm288VXvsQn3CddBleP3HZ/yh4edvCskScNJr9wcIgtM8DjvJloUhdw8rtsEXz9t6dVnz/kwih7qq0uidRMpLYMfK8H0VJXFNLwDwBxrIIMjIdC+ksyMyzCYGC/c6n3uNKexlRWgjO7js+dKCi3W18b0OwKvfh4dPdYvsfu05+05oyPc/him/sHW/zw0mOH9PkXUIpk6BV661APvg0xJfM0ZERGLSFANJDSvehleuswvWwt6Wfv/B3Xb3NTPH5l+OTpPibPkdos+fdDIIGnLyr8K3v/WO1QN48mJY9rr9/YQWZyzsEX6B6XACAVf9F3qNgz8fZnPYR33FPWbnSqjeG31Mp9wOD58Moy62C/Lx11iRvLXFbmrols+h89D6abWRc2R7jWv4Zz5QHYJ/DxN/AGcEL8KHn2PLSdfXzzbpO9GWK96yKQkjLgA8sad2NKR2n00LOPxCy5II+OGwE4EA7IjIGFgzw07GnWBFJCcoAG5AoPMQS+Gt2m1TVrqPsoyMXmPhvPssc+TBSbB2hh3v91qQon+M9pAiEr/ty+DZy63+x6/3hH9GPHyyTaf6Tal70Vux3f7PxmF/DQJ/gEAggCfyLnxOgX3mR2YQHPN9a3cYRytFwIKi3spgEDhYZ2bnKit8u+Eja2c78br4XmvBU7Z0AgTdRzX+nK7D3PopRClSW74VOgeDx6HBgn7HWhBh07z4xiYiIs1OAQJJvpX/s9RvJy2/4wA78dq50p3bfcIt7hzGVJfXHvasr7+/qjS+AlOh+k6wZY8j4JN/2nqHkABBux7u9IPQtE4nQNB7POS0hcGnwvI3YOPH7jG7VgOB6FkNvY+CX+4Ib9s1YLLVJdixHLoMs/mwh51c/7kDTrCLdl8t9Bhtr5UIeYXw883R5/12jXInv8MA65Lwwd2w5BX45GErdnhDjDT+hqx+F2bdZX/AAli9x1vxyLz2sOlTWPqqVRKvLbdt5+I9cu7tnvVYl4mAdYvIyrMT+nbdLGOksJcb7PDVwaDg3/mlT8CXs+2i4f5xsP5DBQhEDta+3fDARHf7y1luYVlwa63sXmt1AcCmeTlZVw3w+wMEApCd6cHrC+D1BcjJiggQ5Laz7KDIDAKIPzgAbqbZjhVucPTvIZ/F034GpestO2nwqfWfX7XHOsVM/L67b9sX9tkU7xQ5pz1jKKew4Y7lMOB4Ww9t/9vnaKittPf31VmAWkREWpSmGEhy+f3Wtm1nSMpmbqHbPs9xzPdJG/kdYkwxKGt8ikEsoy+1u9QQnkHgFImKrENQtsnGkdPWti+aGqwtEML5O4/sYuDIygm/c+ZkAmz4CIr/ZGm1ka0awe58nfEHK0x45FWN/2wHI46iYPt5PNZma9INlo2x4cP6nQZe+o7beaEhO4LTX5wL90EnQ2a21YaYdL37b+RczO8K1tMoWQL3DIflb7qvVbrePVHePN/+TT0eKOhu+4p6W/0EsDuLjhHnwVl/touUbofD+tnx/T2ISGxOgVXH6unh207G1foPbVmx3YLbsVr+hfAF0/3zsuxCvy5aHQLnMy0yg6Cpuo2wpXPx7fO6jxX2sgyluQ9YO91o5vzNAvehnVlWv29FYmPVHogUraBiYS/raBDaytgZ4/kPWHC5bResbs7u+N5HRESalQIEklwLnnTXs0JOiM66Cw6/yFraXf5i7IvYVFTQzQIEtZXh+6tLLV38QBzxNSjqa3PTQ+f0hwYIqve68033bgmfr57T1i7YC3vB8HNtnzOPtrFpD46OAwEPvPFjmPkn2+fMlU8nx1wPGdnudk3wort6Lyx6Hl68Gp6McdIM8OHfYcbvLUXXmWPr/J06nJZeRX0si6B0o7UifP1Hllr7ynX2b1VTYRkgA06AzGAGiHN3zgnu9DwSugy19SFnRB9Tv0k2/eOtm8ODDyLSNKvetWVhb2jTyaYQhWoXDNw5xfScZbfDG31pX3B6QW62BQi8UTsZBAu6RssgaIqiPhZs377Utuf/x30sr73bIQjcnznUni9t+W7ItLe9m+Ivkgj29xfJ47GMuG1fuPtK11ub37GXW8aA8zzVIRARSYpGAwQejyfP4/F84vF4Fno8niUej+e3LTEwOQTs3WrzIR1TboXx34HTf28nEF/5N3z7nejpj6ms+0ggYMUVHX5/fDUIYmnTEX68CK4tDp9K4Jys7l4Df+rjnsxVboeCiOkM3UfBT5bCZU9awGXHctsfb1ZDdh5hc0mhfoHCdNCuO9z4hdsFwan07aQOg00h2Bfj7tU7t7nHj7rECkqOvDj8GE/wozUj04IypRssqLDpU8vkqNlr7/t5MEDWZRh06G/rzlxmp+NE3wnQoR/cvBaO+UH0MfULTi34ZKrNnV43q9G/hjDz/m2Bn8iCZiKHmh3LrUjeT5bY3fLILKPqvbZ0Pjecu99NCRBk2edDnS9aBkGwG8rBZhB4PDambYssAPDWTba/+yirY3LGH92CiE9dUj+wuHm+fSZFTovrPb5pY7jgQfjuB+H7ux0O25e7HWUqd4a3RnTW1epQRCQp4skgqAFOCgQCRwBjgDM8Hs/ERp4j0rjKYGGiU34LP1wAk35od7lDU+jTkVPAqWSRu6+2wqYIHOgUg1icu81OuuuH99tFXuVOaBOlF7WjbVe3gFRTWy4CnHMvnP4HKyaZjgp7uhfVe4P1GkqDAYJTgjHQjVGKP/rq3Dv9Z/3FToB7jqmfcuvUQOhxBLTvYwGCFW9ZpsGJwbaR25dB8R9sDvDQs9waHINPs+XQM23ZM3inr22n2Km9zvznsVfaMes+iH5cLG/+FOY9CgufadrzROI190FYNb3x45LJ77eMAWe6QKdBNhVrQ0hHmeoyWzrdY0qWWCZXHDVynAKFedkZYdthcpppigHYtLDNn9n/78wcuORRuG621YXpPgp+ElJQdfa9tpz/Hwtclm6w6Vg/XgKDQzonNLVl7ZivWy2aUB36Wwte5xygckdEgCAYlNinDAIRkWRoNEAQMM7E1+zgH91mkgMz529we5G1PXJSu3uOsaDAgVSTT0VFfWwqwfqP3H3Oxd+BTjGIJb+DXbBuCHmvHSssbb1tAwEC5w73wBPdO9fxOOFmCzyM+2bsu9npoihYQGvGH+330ekmcPgFNi1gc5Qq2jtX2onthVPh6O/Efu1BJ8N1c6xFZPu+VnywfKtNEXAuPj57zC42xl9jmQbjrrb9A06w5Ym3wS3r4gsqte0MP10J591vtQua2v/cmcKz9LWmPU8klk3zYeGz8P7v7cJ72q3w1MVQEbwr/NbNsCDFAlJ7N0NdlVtd35nO9ejp8P4d1r3EG5w65tR9KVkcV/YAuBkEecEpBrV10TIIghfgzhSjg9H7KOtwUroeLn64fqZTXiHctMo+z3evsdo1r/8I/vsD+xwZc4VlrA06xX1Oc4zL+c5xivnu2xUe0HbWNcVARCQp4ioP6/F4MoH5wCDgH4FA4OMox1wLXAvQpUsXiouLm3GY0lpMKf41AB+98wptK79kNDB/8UrKNzT8vHQzqNMJ9Fr0AgszRlHaYTRFpUsYC3yxbju79xY363tNyG5Pfkga7Kp3HmFwbQVrS/ayIcb/w4F5w+iVsY7POl5IZVP+r2YcB0cfBzNnHtygU4DH72UywKZP+OKVe2lf+gW9PdnMWrCWYzPbsH31YlZlFIc9p+OuefY7u76U8j3F9V800vKZ9CsDJyfm0811VJau5PiMPDKXvYYvI4c5m7PwbysGJpBx/HP4PzqY9l7LGOtph2/9Ir6I8981y1vBccE7dXVrZjF7xnsWIEmAiooKfTccCgJ+psy8cP/mwtK2HBFcX/3KHykrGsa4z6YCUFzaIwkDjK7v+hcZCCzYWElpRTEZvi4c2bYfBZXrYdZdLNtex3DAl5GHZ+8WPnj/XY4vWcam7MGsjeP3uqzGAgQ1+yw4PuejuXRvGx4Y77+9nD4ZOXzwwYfxFwOMIbfaxzFARdt+zCtpB9ujj7Hvbh8D9+1i+Vv/ZFhwX0mboSybY5kT3beu379/5kfzCGQcXGeBNpXbOBpY+tHbbF9bxaQ9W9iZ2ZuVzt9hwMdkPJR89hZ7V69lS8/TEvaZJCJNo+/xQ0Ncn/KBQMAHjPF4PO2BVzwez8hAILA44pipwFSAoUOHBqZMmdLcY5XWoNgWxxzeF0qBRTDumMluEbbW4pijYOoUxqz5h6Vxzv4UgNFnfqv52zWuGQAbS2zuakYWg31WYX/gyPEMHDcl+nMmTwaPhybMJm2dBrwBj53D6B2v2t38LkOYcuJJsLAjvToX0ivyc2zRzuDv7InQJb6+5ywtgy/tTun40y+z1OH14+HLD8gcOJkTTj69kRdoou3DoGQpcX8Gb54Pc4ARF5C19FWmjOge9x3RpiouLo5/XJK+9nwJITHEI9a6lfAH1S2H7GCR0KI+sX8fAgHrKDDwROuokmhlm2DmU9DxMMacdbXbTWDMYLjfpvkM72CdADK7j4AtnzG5fw7MqqPv+DPpOzrGzxFiW1k1zHiPbp07sLp0F+OOGs/gbhEp+0ePhl3XMKVPM306jxlKQechTAmtXRNp0U5Y9wTDfG7dnG5HnEy3Y6e4jwcbt0w+6ZT6z28qbxV8ej0jurdlxPEnwMxyeg4aRc/Q34VPO9K9pJjuJcUM6d7WOtCISNLpe/zQ0KSc7kAgUArMAGKU0haJU9lGt2VbThNa1aWL3AI47kbrZ73qf7BmBnQ9vPmDA+AWKuzQ3+azrwuemTdUg+Ag70y1GgOOh6FnW0Xt0vXutIHcQqgpr3+8s68p7RW7hlxsO/OKnd7iQxPwUVrY26YYxFtwcGcw+8QpBlq2qfnHJIeW0L72YJ+DAGOvsPn8m+fb9r7dsPA5m44QauGz8Nv21gL3g7vDH6uthGk/d6cENYeyzXDfWKsTc/kL4f+/Ow6Eo75t65ss0Lu/xsjsewCP2wK2EU6bw9ysBroYtOkIzRUcAKs10FBwAGxaHIS3dAydepaV13zjAfscLOpjXYwWvwQBX/3vq9BuPStDWk8GAiqmKiKSYPF0MegSzBzA4/HkA6cCyxM9MGmFnJoDYBchznZTLrbSiVNc7pmvwvo5MPKixLyPE3ToOxHOucfd31ANAnGddz98/QU4+267gAH7nWwwQNCEQl3Rim4OOwu+OwvGfavp421MYU+bJ+3UvWjMrtVWk6LfJNtuav0CkUihHVwueAj6HWd1Lg472S4GnQttbyW8ci28cWP481//kbu+fWn4Y2/dAnMfCK9fsHsdzPqLWxW/qZa8DL5a6DsJOh0W/pjHY5+rPcfCxuDsSqdF4Npi+1yPfE4MPl9kkcIDHG9za9/HXR95idVKOexkd192MwcIAC76l2WavHyNbUe2Mh4f3J9bBDuWgbfagkOPnOZ2ZBARkYSIZ4pBD+CxYB2CDOD5QCDwRmKHJa2S01cZ7I6Nc2HbGjMIIHzaxKQb4LgfJ+Z9nFZQfSZYEcRh58DyN6Cga2Ler7Vp2wmGnBa+L7cdVJTUP7amHPBAdhMKdWVkwom/hM6Dw/f3OCL68QfLKb64d0v9k+5odq22QopFfS1QoACBHKztS6B9P2tx128SjL4MvPvcyv9gQYP1s209I2R+eSBghfDqqm1758rwx1YE2/GFtiV940a7WO97DPQ/1o6rrYw/+FyyxIryfevt2Mf0mQBbPrf10IvnYWfH9x64AQE3gyBFAgQF3a0Fb3WpXZj3Oyb88axm6KgQqd8xcP4/4M2bLAgT+Xk46ivWIraiBF682v6N1hXDpk/sz/E/jd6BZ+6Ddk5x5JXNP2YRkUNEowGCQCDwBTC2BcYirV3oCd3ezZCZbSceGa20+FBGJpz2e7s7M+L8xL3P5FvthHjoWbZ98SPw5WxLjZUDk9vO2p1Fqim3x5racWPyzc0zrngU9rbl89+ASx9rvJ7ArlXWWSEzCwq6QbkCBHKQSpZCt5F2sQ52AZhbANkhn0kTrnUDBBUh/e7LNllV+yO/Yc+b/x/LEOg4wIJZVXvsuJ2r3OeUB4N5i1+09/zgbnj/d/CzLxsOkq2YBivftoyG7iMb/plO+a2lwfedEJ4V1Dv+6QD+QHgXg6hTDJIhIwNumB8MskTpYp2IDAKwjC0nayuSx2P/ls7n8I7l1rLRk2lZKItfhknXu8cHAtYZZtqttq0AgYjIATu4UrQiTeHMbe48xOaetu3ceqcXOEJPYBKl+0j46lPudnYeDG6GQlKHstx2FgxY+KylFjvZIE6AIJU5d9V2rYIXvw0/mBv72Jl/hm2LYMKx7nOVQSAHw1ttF/Ijzqv/WEYmnHGnBU2HnQ0/3wQf3GNz+feshw79wtuNdhkGnz8J/znHsgqc/3v9jrWpB+Ul8PxVloIOsPULW354ny3Lt0UPEOxcDW/91C6IHcPOafjnys4LD/R1Gmz/x4r6xH5OhDp/xBSDVAkQgH0fj7ok+mPZbVp2LKGKggHPso1WK2bE+bB9Gax+136PXrjagjQDp8DMPyVvnCIirYgCBNIylr1u8wY9GRYg2LXGahC01ukFkt5yCuwu5ivfhbZd4OZgIb+avan/O+sUrQTrgR7L7nUWIOgwwPqggwUIti2yu3EqZCkHYucKu8PbdUT0xyde567ntoN2wTaHfxsNt25wCxoWdLffx1FfgYUh9QbyO8DoS61OwcOnWDba4NPt/2vFdjumusyWlTvrv7/fD89d4QYVHGMub9rPec27FjBswv8Tnz8ygyBFphg0prmLFDbpvXPtd6FksQWPxl1tQYO5D9pNh4APNs61PyIi0iyamCcrcoDeDBYVCvit9kDV7uDd2BS/2JJDU26hnXiCW+MB0iODIHTKjjN3+P074KVroHaf+1jxHyEjC65+263KPvBEqxWydWGLDVdaGadAYbytMkMDWotfcqcLOPtP/o39XjpTqDoPgSO+Dh0Pg7INFkC4/HlLR6/Y5j4fwv/vOnYst+DA+Gvgmvfh+nnwnRnxty115Hew2h1N4AQICnLt3kyV19e090yW7ATUIGiK9n3sJgNYTYvBp1rwM7SukSfDficguRkPIiKtgAIE0jJCC7Tld7QpBrUVkJPiF1tyaIoMApRttmVtReoHCEJV7oA178Osu2DRCzDvEdu/bzd88TyM/zYU9nCPH3mRBQ2ck3Gwud7ROjqIRLN9CWTmuhdrjQlt/frWLbB2BmTmuFMDCnvAVa/CUcGOHwXdICsHrvovHHkVTL7F3e+rhScudF8vWoDA6aAw8fvQe5x9NzldCRLMCRC0y7MAwb7aNAkQJDODAKBtsOBuz7FWLLLPRDt38NdZO8SbVsEvtsB1s60grHcf+BrInhIRkQYpQCCJ4ffB8jfdAkNOy7WL/mUnfn6vpQvmFSZvjCKxOJktXYbbxc6jZ8BrN9jvbDoECL76jM3frtgGz11p63nt7e5u5U54+jIgUL94Zn4Hm1Pt3Jmr3Al/P8qyD0TiUbLEanZkxjmDsd+xVlj12mL7Xlj1jl3sR6buD5hs3WDOvNO22/exFqVOi8GCbrbcvgQGnWJ3lCMDBFWlVgE/v0NSirg6RQmdAEFVbV2Lj+GAJPuOfFaOLU/+tf1eZOW4BTB7H20de7LzIaeNdfIB+7cWEZEDogCBJMbMO+HZr8P/brPtsk12B2j0pe4do7KNbu91kVTiBAEmXAuXPWEX2p89bi230iFAMOwsOOlXtl5bAWffA91HWfG4N39iF0kAPaPcOW3fxwIh3ip4JThffOU0+O8PLOh3oKrL8PjT5I6pHJiacmsFGO/0ArALvlGXQI8xbn0P52I/VFYOnHZH9NZ2EN7WdfBp1nEgNEBQthnu7GdFDwdMTkqNDWdKQce2uUAaZRBkZttyyi+S8/6n/s6CSIed5O7rNc6WkdMf8tvbsloBAhGRA6UihdL8vFUw71FbL9tk856r9lhPYwivKj08SqVrkWTrOdZ6qg89G9p1syKFH9wNc/7WpKrlSTX0TLuLGghYIK7TYdYyDqwC+wk3Rb/L274vrHrXjl39rtsf/fMn7c/tZY2/t68OfDVWeX7vVtg8H96+hQk1Xjhuod3pk9Zj3qNu94GqUisk11QejxXMLFkUXpcgXgUhz+ky1IqLhhYp/Pghd/3Iq5r++s2g2gkQtLE74mkTIPB44vt/nyjt+9ifUF2G2TIQUegxzwkQJHG8IiJpTgECaT5VpTZX8aVr7M5Np8GWJbA3OH/baVeUH8wg6D46vJ+0SKro0B++Nc3dziuCU//P5i3nd4z5tJSSkQk/WW5p2x6PzdV1XPly7AJr7ftZpsS0W20e+TXT4a5BbtHGaT+HIadbWzHHrjUw6y/Wmm7I6fD6D2HBU3BbCfzrJCi31ol5AKunR2+BJ+nn8yctsyTUiPOh74QDe726KluG3imOV4f+4Mm039Muw+27ZfN8m4vurbKA18ApMOICK3qYBE6AoE1uJrlZGelTpDAVDT3L6g0cFRGMcjIINMVAROSAaYqBNI9AwNI3n74UNn5iVabHXmF3Hp2K6M6czzadbKmLBEk37bq782HTQbtubmBu8GlWAX7E+Q1XX3f+fwIc+yObEuTM9wWY+4A7dcgx7eew8Gl451dWf2TBU7b/g7/sDw7sV77twH8eSR37drvBgZ5j3f3H3HDgr9l7vC1HXND052blwM++hGtn2u/92CugfCu8eDV89pi1KD35N3ZBmZGcUx8nQJCXnUmbnEyq0iWDIBVlZsHkm6Ft5/D9eZpiICJysJRBIM1j91pbrptpFagLurgpgS9925bOHcwuQ+Hc+6xiuoi0jC5D4fpPGz9u5EV2EX/cjTZFAODMP8POlbBtMcz6s/Uk37XG5ozvXGmV5/OKYOcKuDMkK2jWXdYy8ifLoLaCwN3D8VSURH/f1mT3Wnjm61a/IrSDS2uy9FVbXvkq9D/Oag/ktnNbZh6Is++G438KbTs1fmw0eYXQc4ytDz7NWiAuesG6cvQ6qsW6FcRS7bV0+LysDNrkZKXPFIN0UtgDMrLt93HUJckejYhIWlIGgTSPtTNsmZljrabyiixVOZRTnNDjgXHfSI9ibyKHmvwOcNJtbnAA7KJvxPm2/6J/2b77j4T/nAWPnWP/57/2LIz7JtQE5/72mWjLgVOsK0S77tTmFNn0hdZu7kOwYxl89PdkjyRxVr5jn/EDp1gRuz5HH1xwAOx3rrkCKhmZcP4D7vaE65rndQ+CM6UgPyeT/JxMqrxp0sUgneS2g8GnwuKXLJtJRESaTAECaR4lS2zpFAzKa28V0k/+dfLGJCLNb8T5cHgw+8fJHMrvYEUdz/oLdBtpd4FHf8Ue6ztx/1NrczpAxfYWHnASrJtpyy/n2PQrgAXPwOPng98f+3npwu+DdbOC7QRbvhtA3LJy4IKH4Iw73d/HJNo/xSDLphgogyBBDr/Ippds+TzZIxERSUuaYiDNY29wnrE/eEckv73N8zz+p7BqOvQZn7yxiUjzycqFSx61O7R9J1rl+Y4D7EIxMxu+N8eO8/sgpx0cfuH+p1qAYBsseBqm3w79jrX09PHfTs7PkgiVu2DHcug81KZcrJ1hRfdeDd7B3vBReE2HdLRrNXgrofdRyR5J48Z8Ldkj2K/K6yMnK4OMDA/52QoQJMygk62Dy6p30uN3VEQkxSiDQJqH06nAkVfkrn/rbasALyKtg8cDFz8M46+xk3GnAGmojEw44rKwoo61OR2saOnMP9tUgyUvw5s/gZX/C3/unPuslkFdbYJ/kATYPM+WZ/4J2na16vmhP8e8RxI/hg//Dh/ck7jX3/qFLbuPTtx7tEI1Xj95WXbala8ihYnTpiP0mQAf/QM+eyLZo5FDWdUe2LM+2aMQaTIFCKR57N1i9QcceR2SNxYRSUkVBf1tZc86GH6eVZwv6mMBAYDty+CDu+HdX0HVbiuAmE58dTD3QWu312cCDD0D1syATZ/Y412G2dzoD+6xwMEL34SPp4K3unnH8c5t8N5vrcVfc/NWw6f/gsxcK3wpcav2+sjLzgQITjFQDYKEOfIbUFsBr12vCzRJnicvhr+NVj0MSTsKEMjB81bDvl3hd5OcXsQiIkGbe58LR33LNtp1t4rzR3wN1s+GDR/DI6fDeyHZRk5tk3SxerpNKZj4PSu4N/g0a683+6/2+BUvQ4f+dvH++o9gySvw9s3Whq+5eKvc9Q0fNd/rOj59GDZ+DJOutyklErcqr4/8HAsQ5GdnKYMgkUZe5Lbf3L4suWORQ9fmnwA/zQAAIABJREFU+bbc+ElyxyHSRAoQyMFz+pw77aUgfIqBiIjDCRAMO9uWh19od9wfPc06IFz5Kty8xu5Qb/sieeM8EFsXAB6Y8nPbHjDZWq6tnm7ZA0W94KvPwLirYciZ8M23IL+jBQqay44V7vobP4bafc332oGATZHoe4wK0B6Aaq+PvKyQDAKvAgQJk5ULV71m69uXJncscujqHMyyWvVOcsch0kQKEMjBqSl35w8PP8/drwCBiETTfRT8ape1xwPoNgIu/pf7+IDJ0Laztc2b+wC8/TO3E0Cq2/oFdBpkbR0B8gptGyybAOznPfde+PqzVqxwwndhw1wrbngwSpZarYMvZ9v2GXdaMcGFT9c/tmoP1NXYus/r/v36fQ2nwu5ZZ50r1F/+gFR7/eQ5GQSqQZB4eYU2hUkBAkkWf3CalzpqSJpRgEAOztOXwbRbbb3nWLhwKgw/V6mnIhJbZkQDncMvshP5kRdb9xOASx+36QcfPwRbPmv5MTaVtwo2fQo9Igr3nfFHy5o48bbozzvsZCAAX85q+vs5ti2GBydZQOX938GAEyzw0GucFWoLveifdRfc2d+KQD59GfyuM8z5m00Ve+w8+PdZ7rEb5sLS19ztL4MdKvod17SxCmBTDJwihdmZHur8aRL4Smc9x8D6j9InyCity75g4HfrQvjfbbBiWnLHIxInBQik6T5/yuZT1VbC+jnu/rxCq1p+2ZPJG5uIpB+PB364AC562N3XpiOc/gcrfvrUpXD/uPCL1VQz9wGo3G7F0UIddiKc81fIzov+vJ5jIbcQFr9sFzE7VtoFuy+kgN0Xz1u7WEfpBvjzYfDWzbB3K3zyTyAA8/8NddU2xcHjgUk/tDv+T19mz/nv9fD+HTDwRMsCWBk8WZ3+G/h9N6sFsXGuFZ2tKYdHT4fnr3SDEevnQJtOKk54gGpCihRmZ2bg8wfwKUiQWEPOgL2bYNuiZI9EDjW+Oqgug7ZdrOjuR3+HZy5rerDK74N5/27e6WIijVCAQJomEID/fh8eOdXuWjm6jUremEQk/WVmudkDjvz2MPkWuxMeCMCr34PybckZX2NWTIPe42Hg5KY9LzMLJn4flr0Gq96FZ78G7/4aiv9gj29dCC9/B5662D2xXPQCeCvhk6lwzzD47HHbv+dLC6j0PNK2h58LIy+B1e/CvaPg82DLtwv/CefdB0deFT6Wwy+y5ap3LRDs+Piftlw/B/pNsuCDNFmV10d+SIAAwOvzJ3NIrd/g0yEjywqBvvsbC8CJtISqPbYcfHr4fqdwYaRYgYNV78AbN1pwYfc6C+CKJJgCBBI/vw/m3Otub/rUlhc8BN9I4Tt7IpK+TrgZLn8eLn8B/HV2sexPsYuqrQutlWH/A0y9P/4nVpTx6a9Y3QCw/u3PXwX/PME9buadsPA5a43Y9xg46VfuY50G27LXODdbISMTLvqXdU5wnHgbtOtm6+fdDz9bD2ffbXUhLnnU6se8/kOY9jMrrNhxoGUY3F5kWQiaXnDAqr1+8rLttCtHAYKWUdAFjviqdd+Ycy88MMEuxD64B2belezRSWvmTC8YOCV8/7Io58tVpfDARJj55/qPOe1+182C+8bA346wzASRBFKAQOK39L8w/XZ3e2ewWnaXoZYOLCKSKJ0Og9N/bydJa2ckezQunxemnmjrA05o+NhYsnLtLifAxB9Y0LVyu33mAhz3E1sW/xFeudZaJ571FzjhJvjFFrj6bWjf144ZcX74a2dkwCX/hlN/BzetsoyMUPntYfw1lsng8biBBrBgwnVzYNSl4Mmw7IRBpxzYzyjU1PnIzXIyCCwLw+vTFIOEG3Wpux7wWybMe7+FGXdY7Q2RRKjabcu2naHvJFs/7CSbQjZ1ik3/AgtYvXYD7FjuFv0OtTXYzSe7jS19tbD8rYQOXUQBAolfVm74tlN12/nQEhFJpLFX2nzOV66DXWuSPRqzeT4EfDDheza3/0BN/J4tp/wMhp5pxQtP/Z1doJ/0K7vI7zYKTrgFrpsN3Ufa8TltLe1/XLD2wciL6792ryPh2B9CQdfGx9Ghny2P+zGMOA9y2liXid/sgdu2QedBB/4zHuJ8/gCZwcBAdrBYYZ0yCBKv91Hh2zP+6K5/+UHLjkVah0AA3vs/uGcETPtF9GOcO/9FveHKV+CWdXDaHXDsj+z764Vv2ussecWyCgp7w+Z5MP23ULHDOs18/pT9jg49C27bCr8ptYK+S15usR9VDk1ZjR8iEhTZ/mrfTlvGKr4lItKcsnItDf6xc2HhM3DSL5M7nvJtNhawO/MHMzf/xF/AcTdCbjvbvjLiBHDkRfYnlhHn28njwdYHcObBdhxY/7GMzIN77UOczx8gM/jv49QgqFWAIPFy2oZvr59thUG9VdYWdPCpyRmXpJ8V0+CL56DvRPjgbrtBNvcfcPiF0Gd8+LHrPoCCbtbq1uOxc+U2HeHU/7NMrdeut2y4938HXUdYUPbl78Dseyxg0GkwrHzbXmvIGbb0eOy95j4A+3Yre1cSRhkEEr/QtloAlTtsmZXf8mMRkUPTgBPsTnqsQk8tafV7lu455vKDP1HLyHSDAweqOYoHDg8GPHofffCvJWF8/gCZGfZv5NYg0BSDFvHTFfanfTBDpscR0HU4bF2Q3HFJevn4Ibt7//YtFmT64ecWBHjucrtgd/j9due///HRP5dHXmz1Xp640KYanP57C1SN/qrVhCnb5AYHAA6/IOS5F1k9nuVvJO7nlEOeAgQSv7pggODbwXZb+6cYKINARFpQryNhzftWrOmV79ldwGTYtsjuIJ13f3LePxFGXgQ/3wRdhyV7JK1OaIBAXQxaWLvu9mfA8badVwQ9x8CWBbBzVdNbz8mhqWK7u37CTfY79ZX/QEWJBYwDASs0+PejbJ9z5z9SThu4cKoFF075rdUmyO8AF/3TasLcvBpuXmvTum5cZL+vjh5joMMAWPxSQn9UaWZlm6zQ79aFadGyUgECiZ+TQdB5kGUN1ASrqCqDQERaUr9jbbnnS1j4NPzn7OSc4G9bBN0Ob32p9webySBR+QKhAQJb1tYpQNCiJt8KGdkw+lLLkqkutYs5p5WnSEMqtsHYK6ymwDE32L4+E+wC/v3fWdeZGb+H3cEaOcPOiv1aQ8+Am1ba1LJIue2gbSfIzncL0Do8Hvv9XTvTpjFI6vNWwQOTrN3wP0+A9+9I9ogapQCBxM8bjHhl5btz+jyZkJmdvDGJyKHHSYMHu5MCbnvAllSy2AIEInHw+yHDE16kUBkELax9H/jVDqvZccTX4BuvWztP3Y2VxtTVWuvCoj52xz8jeAmVkWlT30rXw44VMOIC+P5cuHpa/foXzWXSD62zz7NfT52CvRLb2pl2U3XIGdBzrNWtmH57SmcuKUAg8fNWAx4rFOZ86GXnN8+8VxGReOW0gUsfh689ayf4eGDaz+sXUm3Mgmfg6cusB3VTVZXa3ceOhzX9uXJIsgwCW1cNgiRyzlkys+zCbuTFsOkTqNyZ3HFJanPqbhV0q//Y2X+176ObVsKlj1l9i37HJG4suQXwtees5e3q6c372j5v875euvH7mu/CfdW7li0w6y7IKbDzFmfayey/woq3G35+EqmLgcTPu88NCOQU2L4s1R8QkSQYcb67ftod8M5tsPxN+5zyZMLorzT8/J2r4NXrbH3+f6wV1ciL4w94lm20ZWT6p0gM0boYKIMgBfQYY8tda6xnvUg0Wz6zZbQAQUEXa0/bkjodBnntYcfy8P271tj3WPVeC1REtihvyPzHYNqt8INPLNumOfh9Vsw3Ow2mI9eUw19HQrsedk4w+Wf1u1PEa8U0y/AIBG9cnHCz/VuM+gqseMtqESx/s+FpKEmkDAKJX121GxAIzSAQEUmmo75ly+evhFe+Cy9fY3cAti6EZ75WvwMLwNwHITMHCrrD9N/AS99uWk/00g22VIBA4uD32x2pjMgaBAoQJF+HYGeD0vXJHYekptp98PFUeO4K224XJUCQDB6PTY/ZvtzmL5VttkJ49x8J942FqZPtey0e+3bbxfHrP7Qg+8cPxTx0yIp/wMOn2Mae9fD8N2Deo+4BK9+Bvx9t37HrPoDHz7e599uXR3/BRAkE7O8lHn4/LHgaVv7PMgPrqmD1uzYNoKnv6auzn/v5q6DHaJtuctZfLEAAFtj57izoMzGlP3OUQSDx81ZZxW5wAwTKIBCRZMtpA2fcaW2h1hbbvl1rbPpA+VbYNM+ql/t9tu2ths8es2JTI863VlNgnREKusO+ndBvUuz3CwQsdRDctmkiDfAFU1brZRCoSGHyOUG+FD5ZlyQJBODl77gtBQecAF1TqO5M50Hw+ZPw2g2wcW79WjyrpltdBIDOQyyo4K12u4/Nvhdm3unWGMMDHQfCR3+378BhZ4e/XiBAz63v2PrutfDpI7D0Vfuzdyuc+AuYcy/sXGGZCKE+mQrn3NOsP36DPnvc0vtvXFS/21r1XnjoOCsuedFUWPYGzAgpHHj121aX5J1fQslS6Dai4ffyeaGuxgIym+dbxkT7vnDFy9YCuevw+s/p0B/WzznoHzNRlEEg9a153/5TOG0MHd6q/2fvPMPjqM42fG+TVr0X23LvHRfAYAwy2FTTIRBa6AECJPQQICQQIF8goeNQAqGHZsA044LljhvuTXKR1XuXtu98P87ONq2kVV/J576uvWZ2Znb2bJ1znvO+z+v5kbkjCKRAIJFIQoBZt8F1X8OdW8X9tc8LMQCgZKf4/3r9NHh+otjntEPmw8Js6nebYNBM2Ps1vHo8vHNO8/8/b76/H7a+I9YjE7v3dUn6BY5mEQTSgyBkMERAZJIYTFQd7u3WSEKJnKVCHBhwHFzylvC8CaV+7+RfieX2D3zFgcvegSs+FDPhr54gbnsWwY7/wVNpwjQvf7OInrN5ldyb9xcx460Lg/yNzZ/PW0R7aZoQEkafCcddDav/ISIQvAe9Q06C2zeI9686twtfeBDs/gIay6AiW9w/uFyIGAD5m8RrKdkJC08W4kB0uuexMQNgypUiXXHXp60/j9MBH1wCzwyC7CXCq8JcC+e/2Hr/IGGYiPiwWzv1MrsLGUEgac6n1wu3zZJdosOtYjN5UgrUMlhqRIFEIpGEAkkjxaz+9g+E23RtPhRtg6/vhNJd4pjtH0D6ZFHDGiBlLGT+ET68zHOebe/BKfc0P3/+Jtj8ljAnPOkOadIqCQqnGkHgl2IgPQhChKYqsfziZrjlp55/fqdDpHF2l+u9pP1YGsQseMJwuHl5aFbsGnEa3LlFlOoEMVuu0UHcIDHwPPE2kUu/9FHIXQtVR8Rx39wt/Asik0TVhbBImPeEpzJD7CAxePVHLas4535RyrG2EE5/TFxPjfHCnR9E7n7pHjj/JVGuMWGouN9TWBogb4NYf30OjJgLh1eK+/fsEVEOaOD29aIs5egzYdq1QiyIThHX9egUGD0ftrwDJ/wWIhICi0N7voQjq0VE9Tn/EGkfEQmQMqb1NiYMAxTRR0nyMjtuKIdVfxdjrjP+7Omn9DBSIJD44nQKcQAgd52rLpPrD8NuEiUOQaYYSCSS0ESjgYyZYnbgzCdh72Ixk6A44fRHPfWHh53q+7jR8+Gyt0VI5sFlULQ98PlXPgWRyXDbGtmZlwSNGkHgn2IgPQhChItfhx8eEOHBVUcgcXjPPv/q5yDraVjwAsy8oWefW1HEzPKg6UIs7a+YakREwNDZYgDdFjs/ERElv/kmNMUBleTRcNcvUFfo64mjD4Nz/k+s5ywTEQO1eWCIErP5unBxzRu/oPk54zLE4N+bPV/B4jsxhydhPP3R5uL42U8LMWDFEyKyYe4oz774ocKx33tM0Z3krhVh/iqqOAAiihBElEDaBLjyQ8++29aCxqt985+Ef8+Gf42DjOPhpmW+r9thhw2vinPds7d9ry1hmFhWH/EIBDYzvHO2+A9SHKDVwwUvBX789w+KqJGzn+mW361MMZD4YmsUy4Rh4LTBEwmeGqveKQaxgzzbJBKJJJQ462lR2WD8BSIyQGuAKVeIWY+B08QxJ97a/HGTLoWLF4qOQPl+KNkNLx7nqZG++S3hcXDKPVIckLQL1StLTTEI08sqBiHF1Cvg2i/Fesmunn/+fYvFcvnjYvBmbey55971majo8uoJ8Nn1npz1/sY3vxd+AosC/Pf7U1soRJPoNBg2p/vb1lmSRgp/hJYYNENE0Jlr4dxnYfYf4PrvAosDIASCqkPw1R3w7gWw7HH47DcAVCYd33Lk3Jz74KGjwhvBm4ShYsC+8qkOvLhWsDbBt/fAR1f6ljk+uFxEOEckCp8BEMJ+kqtdY8+FS95sfj6d3neQnzIGLv2PWC/YDO+cK6IxHHZhuvjGaaK6xbjz2i98uAWCXHGBWPKwEAcqD8LVn4r0jPL94jX6U7YfNr0Oh1bAR7/qurKMXsgIAokv6kUpdaInX+hwlvjzsZlE2AyILy4Il3CJRCIJJWLS4eS7xHrKWLh3rwil1GhErWq72XNxDkTKODHTtPdroe5/fiMMPhF+eAiGnwbH39wjL0PSf7C7FAK9nweBXXoQhA4p4wGNyKG2W4Rg2BOznY0VULpbCJr7FsOLU+G4a+CiV7v+uUr3ikGSPkzcdzpg1T/E4KmpQoRLRybDec91/XP3JrUFwkgPxIDO6QCtLvCx9aXw4hThUzPkpP6RRjZyLqx1GQSOPB2mXd368bGDRC799g/F7P+RVWL71Ks4HHM+rcZfRMQ336aWEl3znBARwtqZnmyphx//BJl/goZSMS6JTBJVBpoqxDH5m2Coa2xycLkQTC55Q6RcmKpFFIjTAShCAAmWCRfAo2Xw3wWQt17cyrPFc6DASXcGTkdsi+g0EYVdsAW2fwyFW8T2MefAqHmw6wvY8ZGoSnH3NmGEaIgUIsaW/wifiNm/h9XPis8qOrX9bWgFGUEg8cXSIJap4zzbVPXNZvKkFKizcA5Lz7VNIpFIOkJUsqeTF5PeujgAkDZRdA5X/8Oz7XnXtll3hJZJlaRPoFYx8C9zKCMIQoiwSDHTufHfolTqoRU987yqGdxJvxPl0MAzmO1KDq2EhScJYzkQg6YnEqEyR6RfLXhebO+rA+LCrWLGW/WT8EY18Jt2jTDlU43r/CnZBV/fIf7rAaZe2T1t7WmGeFXliR3Q9vHJo8Vy/Pnwh51w448w9ddw7rM49B3wHsuYKdIZQFRbaC/7vhVVCf41TszaL38cFt8Jxli44GUxWN79uTi28pAQ9kfNE+OX8GiIHyyu/XGD2icOqOjD4aal8HABjFsAOT9C+iS4ayuc9ZToY7QXrVaILztc4sC4BTD5cjjX1e9Q05zqi0UZyRenCjNES70QFCZeLKIdoVsMIGUEgcQXa71YpniV5DC7PAnsZo8pocEIFy0UZVMkEomkPzH+Aph6lVDvx54Ho86A7+4V+zJm9m7bJH0SNcVAehCEOKPmi4GIwyJmT0fP777nUsulFmwRs5zpU2DILDEAWPFXqDgozNTm/gliBwZ3zoYyyF0joh/8We0SHwq2iEF09o+efRMvEhGiG14VEQ19icOrRAm9+mIhEhz4XryXmX/0lKtVU2UnXSrKAhZta156TlFE6TsQpf5UN//+gE4Pv3oveN+wyZeLSLoBU8X9IbPErTOMPkvk1B9ZI6IY2kPRNs96yjghVoRFieoJYZEi/H/zf0TZ4tK94rhRZ3Suvf5oNMKgff4TojrB6X8WRoadIWGYKAmZNMrXCwF8KyD8+AigiEiOdy8QY7XjbxbGkCA8Cwaf0Lm2+CEFAokvagSBd6iKKhBY6nzzbo+7qufaJZFIJD2FPgwuek1ESo04TaQpHFwOZfs6NlMgOeZxuKsYiPvuMod2mWIQUpz3nMjR/vYPIsTX2iRMy7ojamj/d/CJK9Q7bZIn7HrQDLF8xbVMGQcn3xncOb9/QEQfpIwXA+DsH2H4HGEwraaEHvgO/vGdWI8dJFzd1aiByGQRrtyX2PSGKEUIYkY1IgEKf4FPrhGlbDNmCrNBvVGY0xqihAmtfx+2YLNn/eS7xaxxf2LChcEfq9XBwOO69vnDo2HgdOH4X7xTlF3c86X4vk+6DEZkit+A0ym8IkZkwvRrRVTH5jchKlWIPsff1PzcZz0DeT/DZzeIlIP0yULk6Q6SRoqoha5g2GwRjTDhoub7Bp8olhMuEr/p428WQuKm18XryzhepEKhERETXYwUCCS+qB4E4dHw5yr4W6oQBmwmIRTEpPVu+yQSiaQn0Gh8jQyv+KBbjIAkxwZOVxUDrWsgptNq0Gk1MsUgFNFoRFm0rf+Ff4yAqBS40lU2dfNbcMq9Yka2s5Tt9ayrgwFoPjAr3x/8ORXX9ylnKRRvh69uF7PBcYPFrGPyWDFjqTLzBt+UgqhkMZjuS5QfEKHko8+CuQ+LgWHRdnjrDPj+fs9xSaPE5zZgqu+MtMq+b4Sh7X37RX67pOsZPgfW/FOUHtTqIWagEAlUI+DRZwIaMWjes0gIBOtfEd/rK95vOYohPBqu/EiUKm6qgJkBRIRQZPbvRVsDmR6nT4bHKkU1g6EnC0ErPAaGnSJECo1GCJexAwOnGOz6XIhlgSIpCrbC+hdbbZoUCCS+WF0RBGHRQkE0xoG5DuqKxPaYIMPcJBKJpD/RkqGVROKirN5MrNGA0dD8u+Iuc6j1DMYMOikQhCyqI7zdJErDvX6qKCFXkyeM64Z3wtl+5dNi1rRwq7gfHivqxquovk8q7TGDVkPIt38oUhVAVClQWfC8GGyFRcK6F4WnijeRScLsra/QVCU8FM74szC/Uxl4nCg7V3VY5G0b42DKlZ59W94WTvTeQk/OMjEQk1Fi3cfI04VAAMIwePR8Mfm450tRZSJnqedYQ5SIJijZJYSDtlIckkfDnVtEpF/apO57DV1NeHTL+3R6QA8n/tazbcIFvsdEpTRPCzLXwhcukeTRsubRMGv/5Ym6aYE2BQKNRjMYeA9IAxTgDUVRWpcdJH0X9YIS5vrCGuPEF62+RNwPxtxEIpFIJJJjCKdT4YSnVjBvfCpv/eb4Zvs9KQbeAoFWehCEKpGJcPm7sOlNOLpWbKvJE0u1nxQseRvh7TPhzq1i5m+VqzZ9RILwOjn/heYdeEOkMNObfh1s+1D4BgTjf9JUKZaqCd95/xT9t5o8kZs9aDoYIsS+X73X/PFRyeIcPVWvvrOoPgrDApT4i0kTt4dyfd/ftEnCU6vmqKf+/IElUL4PZlzf3S0+thk627M+zOX3YIwT7/uUK4X/R+o4MSO++C7IelpEvIw9O7jz6wwwYEpXtzq0iUgQhqPe7Prcs77/W+G9UVcs3p+IBDi6XpSApK7F0wYTQWAH7lMU5ReNRhMDbNVoNMsURdnb1gMlfRDvFAMQyralTpi/gIwgkEgkEonEjyOV4tr50/6ygPv9UwwAwnRaGUEQyky8SNwUBd48XZTHA2goCf4cjZXwzjliPW+9p1Q0iE79hAsC57pf/y0c+kmEH2cvFaXMHDYx+Jn3l5afr6lSzNIOOUnMrs+4oX3RT5HJIqS5sbxvpJTu+VKkT7Qmnvi/v2puetURIRAoiiiXlzJepFxIug+NBu76BWrzPUKVisHoSetTKw2sflYs0yf3XBv7GhEJHvFSJftHUSHBVAO7F8HBFSKqKDwWLnwFTFXwq/fhjy37UrQpDyqKUqwoyi+u9XpgH7ReAlPSh/FOMQBRQsRc5wmFkxEEEolEIpH4sLtQmPmOTAkcLtpSBIE0KewDaDSw4F9wtmvmvyGwCBSQlX8TA25wpWsWevbpjTCyBaf1QTPg1AdEJMOITMheIsourn3eM5ETiKZKUV/9tAfhnL+3PzUqY6YwZfzoctFeEPn6h1e17zwgUlPbkx7R7vMXC/PYSZe2rzSjWj6u+ogQB7KeEdEDJ9zc/4wJQ5GkkeI73RqJI+Cho6KKRPxQGHNOT7Ssb+IfQWC3iEomalrG/m+FOABiwnftC5A4Esad1+pp2xU/pNFohgHTgI3taryk72CpF2636kXFGCdqlv78mrgfHtt7bZNIJBKJJATZUyQGUxkJEQH3OwJFEOi1WOyO7m+cpPMMnAazbhM5+g2lwT9OLa8HQhxQ/ZxAdND1QZTR8zctzHqm5WObKjtnsDf4BLjyY5H3vfof8NUd8EYmvHeBp8pVsPz3POHdYLc23+ewizBo/33/XQBZ/9f6eW1mUertX+OE+DL9uva1KzpNpHBUHRbu8Kv+T/R7J1zcvvNIupeIePjDbvjdxu6pItJfiEwEc42nlu7BFSI9afR8mHoFxA3xPb7oF/Hf04Z4GLRJoUajiQa+AP6gKEqzpAWNRnMrcCtASkoKWVlZwZ5aEkKMyc0hWRPGetfnN7a6CTVmYM+E+ylf1QEVWSKRSICGhgZ5bZD0S/YdsgBQWlEZ8Dt+pFYIAfv27sZYIVzpnVYTeUUW+ZvoQ8zURGPK3cOeID+zE0oO0pAym6jGozQd3EZ1pZMxQEna6RyMuwR7EOeJr7ZxHFA04EwABq5/mV11MVQmneAzc651WDjV1sThklryOvWdMnJc7ATi1/uWcjvwxVMUDzwr6LNkuqohlL1+IfvG34ei9Qw50ouXM+7Ay+QOvYLc4aLcoN5Wxym5ayB3DVmc2Ox8GqcdRatnyNHPGXFE9EVzh/6K3F35QH67XuHMsBQs2RsJ2/0jmqihbJn5PGze1a5zHKvI63hokVFYySjFyf5PHqcpciCD878mzhDHhgIdijYJpr1MfPVOhuR9TmK1iOjZXRtJRRufYVACgUajMSDEgQ8VRVkU6BhFUd4A3gAYO3askpmZGfSLk/Qgm94UyvAFL4n7+74VpXZOe1DcL1oIziG4P7/BCry/AmbexMQFj/VKkyUSSf8gKysLeW2Q9EcWl22HwkKMUbFkZs5utj8urxo2rOfm84QmAAAgAElEQVS4KVPIHJcKQPKedUQZ9WRmNh8MSUKUvBFEl+0jM70JfvyTcM6ffq1nf3UuJAwT64oCa6uIHHUxlBqIsjSQkh4FB3Wk//Zz0oMN/1dOgxFpDJxwgfAVeH4Ck3c/LVIeZt0mjqk6IiIb1sCIyScyYnpm515n5PWiROCM60XJxx8fYaxpK2Mn3QTJo4I7x+YUaCwntXw9qZm3wkSvGfqP3wBgWPF3DJt9KYw5S+RNrxO7M2PzfCMDSnbBW/PgrKeh8RcYOB2u/ZJhEfEM68jrazyT6M1vivV5fyXzlBZSPSTNkNfxEGN7ERx6m3EHXvJsm3E9p50+z+ugTOBu8Rsq2Myks65vM2W8zRQDjUajAf4D7FMU5V8daLoklPj+fvjlXchZLi5en1wNK58Ca5PYX5MnSvmojJwLDx6Bs1sJaZNIJBKJ5BhGNSFssgZOGXC6PAi0Xh4EkWG6Fo+XhCgj5wqTwv/9WuSwL74Tfv632Ld7Ebw41ZOv31QlyiTGZYhb1SEo/EXkV7fHG0CjEaHChgiIGwSz/yC2L/+LKM1Xth9eOg7ePksYSY9f0PnXOfMm+O0aWPCCMGocMgvyN8IrM0SOc1s4HSIveqwrzzlnmWdf0XbI/gEmXAgJw+GLW0Tf07u84uK7oKFcrDtssPQxUXngu3uhbI8oQxkR3/HXN+M3nvWx53b8PBJJb+NtfKqS0bySDgBXfw7XLArKTy4YD4LZwLXA6RqNZrvrJn9NfZ0PL/WtjVu4VQgG/gIBiPwWadwikUgkEklA7C6BwGQLPOBXixXoNFIg6NPM/j0M8PMEWPKQMC48ul7cP+qaBq91hb3HDoKJl4gB8+GVMPTkzrVh/l/h1lVCfFj9LGx737PvtAcDDxjai1YrKiao31fv0nF7v2778fUl4LTDqDOEiWDOMk+O9NrnwRgP578IV7wPilN4HZTvh6RRcPLd4riNC2HvYvjwMvG+TbkCRs2DAVNh6q879/rSJ4uB0jWLIGVM584lkfQmOpePSepEz7ZBMwIfGxEvfpNB0GaKgaIoa4F22INK+gwHfvCs5/8MaRNFFYP4wb3XJolEIpFI+hhqhEBLA363SaHXtExEmB6T1d7tbZN0McNPheLtcPHrIix+zyLY/YXHgFCt+rThVdDoIH2SmCkfNEPs66xAAMK48PibYfNbYmYfxMB5yq86f+5AnPBb4Xy+5GHY+Wnbz1NbIJbxQyAsSrw/z42Cm5dDzlIx2I9IELfTH4ElfxTVs4bNgXl/hT1fwZp/inPowuDCV2HaNV37moIcKEkkIc3AaRCbISqt1OTDpjcgufOiV9AmhZJ+yMHlnvW6YpHDBs0jCCQSiUQikbSIKgCY20gx8IkgMOhajDiQhDBzH4G0STD5cph6JdQcFQNclYPL4bPrYc+XcMo9IqUAxGz1pjdh/Pld0440rxnD367xneXvagxGkbqQvxHWvwQ/PQXRqSKt4tx/NK9TX+BKF0gdDzpXBGpTJbw0TaxPusRz7HFXw4onxQRV0kihol3/rXgfo1PFe62WJpRIJL5EJsK9e8T6kFkw5fIuOW27yhxK+hkWr2IUpmqR26U3Ng+fk0gkEolE0iJqCkG9xc5baw4H2O8SCLw8CCJkikHfxGAUngBqOMic+8VywHHw609EGsKeLwGNyOVXiYiH0x4QM+pdQfJYsRy3oHvFAW9m3iCWm94QtdXz1sOqf/geoygiNSB1gvBeiE4Rhooq8/4qojBUjLGeiIQklwFiwlA4/iYhpkhxQCLpcaRAcCxhM7W8r2yfCJk7/VGZYiCRSCQSSTtwqPnVwN++29d8fwsmhSYpEPR9xp0LDxfAb1fB2LNh/hNw2TvCcb87+1NDZonnuuDlto/tKhJHwFnPiLrrRdvEtn2L4YPLPMcsf1xEEEy40LNt1m1w4u1iEmrWHc3PO+t2YbA45KTubb9EIgkKKRAcS5hqPOsn3OpZHzYHyl0dmsGy3JJEIpFIJO3BobS+X61y4G9SaHcqWO3Olh4m6SuEx/jen3QJnBRgINyVaHUiWiEysXufx5/k0Z71GdeL5cFlUH5AGF1veE14DJz6gO/jznoa/pgP+rDm50wZC/ftg9Rx3dZsiUQSPFIgOJYwuwSCy96B+U+KdX0ExKSLdY1O5HpJJBKJRCIJGlUAUFEU3/uBUwyEDZSMIpD0KbwFghNvh/uyQaMVlbEOLgenDU59sHkpR602sDggkUhCDikQHEuYqsUyIl7k0F3+LtyxwVMSJ3k0hEX2XvskEolEIumDOPwEAqvDNypANSnUekUQRBjEAKrJJisZSPoQcYPFbcYNYsY/Jg2GnyYEgqLtooRh0sjebqVEIukEsorBsYSaYqAKAhMv8r2fKP/QJRKJRCJpL/4CgdnmJFzvmUG1u/brdb4pBtByaUSJJCTR6uD3O31rdk65Ar66DapzhVigkdXRJZK+jIwgOJZQIwiM8b7b1dy56JSebY9EIpFIJP0Ah19KgcWvfKEqIPhEELgEApliIOlzaP2GD5MvE35WAENP7vn2SCSSLkVGEBxLmP0iCFSsjWIZmdSz7ZFIJBKJpB/gcCrMGZ3M1Ix4Xll5ELMtcIqBTisjCCT9EJ0Brvsaqg6LSgcSiaRPIwWCYwlTNaCB8Fjf7apJ4YCpPd4kiUQikUj6Ok5FQafVMG6AiMgz2/0jCMTSv4oBQJNVehBI+gFana+BoUQi6bNIgeBYwlQjDAr9Q8OmXSf8B4ad0jvtkkgkEomkD2N3KOg0Gowu3wGzX4qBWuXA+/KrehTIMocSiUQiCSWkQHAsYa5p7j8AoscyfE7Pt0cikUgkkn6AGkFgNKgCge+g3xEgxcCgE2qBzeHrXyCRSCQSSW8iTQqPJUzVIoJAIpFIJBJJl+FwqgKB6Fb5RxCoJoXeKQYGV0UDm0NGEEgkEokkdJACwbGEqaa5QaFEIpFIJJJO4VAUtD4RBH4pBoqaYhAogkAKBBKJRCIJHaRAcCxhqg6cYiCRSCQSiaTDOJzCgyBcL7pVH27M486PfvHZD74RBGF6mWIgkUgkktBDCgT9FUURt7oiqMkTt6pDMoJAIpFIJJIuxuFU0HtFEKzKLufbncU++6H9EQTrD1ZglxEGEolEIulBpElhf+XjX0P2D4BG+A5Eu0oZxgzo1WZJJBKJRNLfcDpFikG4wXfexeZwYtBpPREEXgKBvg0PgvWHKrjqrY3cO38Md58hy8dJJBKJpGeQEQT9EWujSxwAUERqQfk+GDwLZt3W9sPtTj7dnC9LL0kkvUhtkw1FkaHHEklfwKG4yhy6IghU6kw2934AvZdAEOaKILC2IBDkVjQBUFht6vL2SiQSiUTSElIg6G8oCnx+o++2qb8Wy7l/gvCYNk+RdaCMB7/YyV+/2dMNDZRIJG2RX9XE1CeW8u763N5uikQiCQKHU6QPGPV+AoHZDogIAwCtJkCKgT2wENhgEeJCtFEGe0okEomk55ACQX/DVA3ZS2DYHHF/5Omw4AX41fsw/NSgTuHqx/DhxrxuaqREImmN/Goxc/jD7pJebolEIgkGh9OJXqvBoNPgFSTgiSBwBQl4pxjotOJYuzNwBEGDS1yIDpcCgUQikUh6DnnV6W80lIrlzBtg3l8geTQYjDDhgqBP4V+eSSKR9CwaxCDCKVMMJJI+gcOpoNNq0LjSDJqs4jpaZ/ZNMfAWD0BEEbSUYlBvEQKBf9qCRCKRSCTdiRQI+huqQBCdBhkzO3QKKRBIJL2LySYGBnanFAgkkr6AU/GkD0SH6z0CgcnO3qI6yurMaDWg0fgqBGE6bYspBvWuCILWqhxIJBKJRNLVSIGgP1FfCl/fJdbVqgUdwOQlECiK0qxDI5FIupd6v7xliUQS2ogIArGeEhNOWb0FEBEE5760BgCDrvm1VK/TtCgA1DSJ6ANpGCyRSCSSnkR6EPQnVv4Nal2+AdGpHT6N2ebpjNgcngFKk9XOY1/tdodMSiSS7qHBIiMIJJK+hBAIRJcqITLMvb26yepe1wYQ2w06bYsCQVWjEBksdhnVJ5FIJJKeQwoE/QmN18cZRLWClvCOIPDumPxvUz7v/3yUhVmHOnxuiUTSNmoEgUMKBBJJn8CheCIIIsM8ngF5lU3udZ2/AQGtexBUuyIILDKCQCKRSCQ9iBQI+hPWRs96J9ICzD4CgadjonZuVGdliUTSPai/MRlaLJH0DRxOBZ3ruhvlVXVgTU6Fez2QQBCm12J3BBYC1QoI8n9AIpFIJD2JFAj6E7WFYjnvL506TUsCQYTLSbnRapdpBhJJN6KmGMjfmUQS+qheIVqXAKBGEKTHGimsMbmPS4wKa/ZYQwseBIqiuH//MoJAIpFIJD2JFAj6C4oCNXkw5Uo45Z5Oncpk9RIIvMQCdfZj0S+FTPnLUnYX1nbqeSQSSWDUFIOaJhuKLHUokYQ0qleIXusbQTBvgq8XUFqMsdljW/Ig+Gl/mdsDSEYQSCQSiaQnkQJBf+Gbu6GuAOIGdfpUZq/OiKWFdYCC6iYkEknX02ARM4d2p+KuhS6RSEITp+IbQXDbaSM5a2Ia984f63NcUnTzCAK9TovVL8VgdXY5N727xX1fmhRKJBKJpCeRZQ77CznLxXLqrzt9Kp8IAi9RwDv1AKBOehFIJN1Cg5coUFZnJtZo6MXWSCSS1lDNRFUPgsSoMF6/dmaz49Q0PW/CdBpsXtfZ9YcquO7tTT7HyBQDiUQikfQkMoKgP9BYCfVFMP9JSB7d6dN5CwE+636zGKFqVvjNjiLe25Db282QSDpMg9mO0SD+nktqLb3cGolE0hoOVwRBIBPCGKNnHiY8gEDgn2LwwGc7mx0jBQKJRCKR9CRSIAhFFEUM+oOl6BexHHhclzy92eZwz3T4RhD4dlIaQjT0+fOtBbyzLre3myGRdBizzcmwpCgASurMvdwaiUTSGg5XioA2QPWg5feextkT0wHcop83Bp0Wm1c503HpviWKY4x6KRBIJBKJpEfpXwKBwwb/mgi7v+jtlnSOz2+EZ0eAOQgTQLsV1vwLIhJh4PQueXqTzUFchAhp9jYp9F436DQhKxCYbQ4qGuSsq6TvYnU4GZwYCUCpFAgkkpBGjSDQ65oLBGmxRu47cwwAl0zLaLbfoNP6pBikxIT77E+JDpcmhRKJRCLpUfqXQFC0TRj1LX2st1vScZb8CfYsEut7F7sEgH9C9dHAx393L+SthzOfhPDoLmmCyeYgPtIlEHh1TEwugeD3Z4wmLiLM7bQeaphtDurNdtmpkvRZrHYnsUYDsUa9FAgkkhDHXeYwQAQBwOi0GHL/fh6TM+Ka7fMvc2j2EugBkqPDpUlhH+Wyhet5d31ubzdDIpFI2k3/EgiOrBbLpFG9247OsG8xhLs6EYvvhKcHwIon4NNrxbbctZ7X6XSI46f+GqZd02VNsNicxEY0FwjMNgfpsUbumT+GGKM+hCMIRJurGq293BKJpGNY7E7C9FrS44yU1PoKBLsLa+WAQSIJIVrzIGgLfw8Ck+s6q5IcE4bFJsXuvsiWo9U8vnhPbzdDIpFI2k3/EggKXGWBnH2087z1XajNhxNv9WxzugbhxTsg6//gv+fBu+dD5SF4IlGkIYya16XNMNkcxLsFAm/DQqc7hzLGqKfBbOvS5+0qVDPFysb2pxnYHU73bJBE0ltY7Q7C9VoSo8KoafL8zvaX1LHg5bW8vOJgL7ZOIpF4Y3f4VjFoD0Ig8Fxz1OvsUxdPYkCckbgIA1ZH6AoEJbVmbn53C/Uh2h+QSCQSSfvpXwJBbb5YNpQIo7/agt5tT3soz4Zv7hbrKeM82+c+Avfsgeg0yHras33Zn8UyKgVGzO300+8vqeOjjXmYbQ6arHZPioHNN4LA6DIvjA5vHkFQ3Wj1KZHYW6htqGxoXwSBoijMf341U/+6lD1FQfg/SCTdhNUhIgjiI8KoMXm+x9vyagDIr27qraZJJBI/nJ2IIAjTa3wEALPNQbhBx9UnDmXDw2cQrtf5+P+EGs8vy2b5vlK+2VHc200JKRRFTjRIJJK+S/8UCOpLYcOr8PxEMfDulbYUwvcPiLYAlB+ApqqWj68+4llPGgXnvwjnvwSnPQhxGXDNF3D5uzD2XHHM0fUw6TJ44CBEJXW6uc8vy+ZPX+7i2R8PYLY5SYoWRkk+KQZ2p7tMU3S43seDQFEUpj25jN+841u/uTdQSzO2N8WgrN7CkYpG6i12/rJ4DwdK6n321zbJGRJJz2C1OwnTaYmLMPhEEKjfyQFxEb3VNIlE4ofD2bkUA7vD9zpr9CqHGK7XhnQEgRqxFxGm5UhFI+sOVvRyi0IDh4xElEgkfZi+LRDUl3jM+yz1ItzeGA/Welj6iNhe1wtRBNs+gOcnwKY34Jf3ROrAqyfA179r+TFVhz3rSaNgxvUw4zeebemTYeJFMOlScd9UBcmju6zJRTUiz/mbHUUAJEaGAf4pBg6MevGViTb6CgRHK8WM5qYjrYggPYTqQdDeSgbZpWLwNTUjjs251Zz1wmo+2pgHwIZDlUx9Yimrssu7trE9wOIdRc3y2CWhi93hxKkgIggiDdSaPALBvuI6wCOCSSSS3sVid7gjCLQd9iDwDCYtXtdZEAKBxe4M2Rlp9b8oXK9j7nNZXP3Wxl5uUWhglwKBRCLpw/RtgeCfY+HFKWK9tlAsB83wPaaxF9TsbR+AIQp04bDx3+IGcOB7WPRb2PW5EA3qS0UqxM7PhMdAeBw8Utp6NYL4IZ71LjRjzKsSA/yyejGojjHqCdNpfSIILF4pBjF+KQYbDlcCMMRVmq23cDgV92xLZTsjCLJLGwCYOy7Vve21LJHrraYcLNtb0hXN7DFMVgd3f7yNa/4jO219BfX7G6bXEhdpwGJ3ujvhdS5RLlQriEgkxxI/H65k7KNL2OgSxjviQRAVrqfJ6qm6453KBxAbYUBRoD5ETYFN0hQ4ILYQjvqQSCSStui7AoG5zrPusHsiBWbdDguehylXivsNpSKyoLXw/q6koRzyN8LJd8Ip90BTBZTthZiBYv/O/8EXNwm/ga/vgP3fwqKbYcfHkDgcDMbWzx832LPeRQJBbZONWpON070GxlHhesL1Wh9PAW+TwkhXp0blYJkYXA+Ia6P93Yx3xMPCrEPM/vtPQT/2YFkDiVFhTM2Id29T0wpijcKTIRhfgx35NSEz26N+RoXVpl5uybFFZ/w41IGCmmIAuNMMTFZVIJDpLhJJb7OrQAjHX2wV/Y+OpBiMSI7CqUBuZSPge50FSIwS0Xzt9dTpKcyu/7kNhyp7uSWBURSFl1fkUFRjQlGUHhu4e0eFSCQSSV+j7woER9d51qsOQ6mrlMyAqTDzRrj436A3wu4v4O9D4P2Lu68t1bmw7HF4/xJ4bhQoTpEKMOc+uOJDYSJ42X/EgP6yt+Hku4UR4cHl8IlXecLkMW0/V0w6nPE4TL0KUid0SfN3u2bHp3jVaI426hmREsWuQo9Zn8lrZiPSoMPm8FxsG12zG2Z75y6+DRZ7p9IU/Adlha5OQTBUNlhIjQknI8GT391gteN0KjS6BmZtpS1kl9Zz4avrQiYVocn1fnRgYkvSCaY9uYxLF67v0GPdAoHLpBBwGxWqn2eolhiVSI4l4lxmvqo3SEcEglGpImJQFdnNdt8IAtUP6G/f7qU6BGfpVQ+ColqPCB1KlYAOljXwz2XZ3P3xNt5Zl8voR37okWgHeytCxDc7ithbVNfifolEIult+q5AUOVl6le+Hw5nQcp4iHbNgms0EJEIRdvE/eLtIpy/O/h5Iax7AQ6tEPenXAEpY0EfBuMXwHVfwdCT4a6tQjg480k47qrm50mf1PZzaTQw5164eKE4fydRFIWHF+0iTKfl1DEp7u3R4XrmjE5he34NtSYbZfVmqpusGPWi4xIRJpbqgKXRtTR3sorBv5Zm86vXN7Atr7pDjw8kUNQEaS5Ya7IRG2FgkJdAoCginFsN6a5oYxan3JWicbi8MdgmdytNIVBV4lhlb3HHOoAWb4HANQCpdUcQSIFAIgkVTH7XP10HelQjUqIAL4HAL8UgyRVBsGJ/GY98taszze0W1PegrM4jnoeSqaI6k19ntvGZK9KjqKb7I+psrYgkd328jXNfWtPtbZBIJJKO0ncFgkbXDK1WDzk/wtENMOI032PqheEeQ2eLpbmbStdVHYG0yXDnVnisAi58re3HJI9tvi1tYte3rQ1K6szkVTVx75ljmDgw1r09KkzPiSMScTgV9hTW8trKQ1hsTi6ePgiAyDA94OkcNLkGLKZOmqcV1ggvhLfX5Xbo8aYAM+ZHq4IrCVdrshEXYSAyTM/4AbGMHyDejzqzjTqXUVxFfesRBOrArbAHOiDB4J0GIukZOlvqU43KCdd7pRiYbCiKQpPr99UgPQgkkl7HX6jTdiBUKzJMz6D4CA6WNaAoikgx8DIpTIr2TASoZU5DCfU9KK3zGOGGkomq2j5F8Qg4lk5GOgaDrQeeQyKRSLqLNgUCjUbztkajKdNoNLt7okFB01gOMQNg4sXCFNBuggkX+R5jdOWST79OLHd+KkwCi3e0ff7ybDAFOYtdnQuJwyB5FOgMoNO3/ZiM40GjhfHne7al9qxAUFpn5twXhYo9fUgC4XrPrEV0uJ7UGOEnUNVkJbeykTHp0cwaIUoqRrojCMTFVw3B76xAUOqahThQ0rHZV7VjYtB6vtoXvbouqNBMVSAA+OH3c7hn3mj3djWCQE05aAk11aInZiiCwS2Y9HI7jiWqmjzftZ0FNc3KZbaFOvtm0GlJ8Mo/tjkUd+msOikQSPoBOwtqeHP14bYPDFH8BVi9tmNzLqPToskpa3APXMO9IghUDwIQgn5roes9jaIo7nB9b9d+tZJQKKD6tSh4BJy6HvBwsTs970EopVxIJBJJMARzNfsvcHY3t6P9NJZDVDLMuV8IAelTYMgs32NuXQm3rPQ4///wgDAJ3Plp6+e2W+HV44PzLXA6oeYoJAxrX/ujkuDxarjiA3joKFyzCGIHtO8cnWTRL4VUu0KXx6T5Vk6INupJcIU3VzfZKKoxMdCr9nqzFANL51MMFEXhcLkIsyyoDt47wBvVpNC/n/bZ1vw2H1trshHvEghAuEcD1Jls1FtcnQxFiAQtEWoRBI0yxaDH8RajLnhlHWe9sJr97RC8vE0K02ONhOu1HKlocIs9Bp2GBos0KZSEPn//YT8nPr084D6nU+HBz3fy1Pf7+mzKjHrdU+mgPsColGgOl3t+494pBt7CvaL4CpC9TVWjNeBsfChFEHiLAW6BwNT9/5/eJoUtTZyEipmxRCKR+NPm5UxRlNVA7xe396exHKJSIHUc3HcAblzS3IktcQQMmi4iDbxpK9Ug31USrmgb7Pmy9WN/fg3sZogf2r72exMRD6PO6PjjO4i34V58pK+fQVS4zr2tutFKYbWJgfEegUCNIFAvfF0RQVDZaKXObCcjIYImq6NDRkImq+isJEUJY6fHFkxgwoBYvt1Z3OrjrHYnTVaHO4IAcK/XmW0+ZeVa61y4BYIQqRqgznBppEthjxHoe7unsAMCgV6LTqtheHIUh8sbabKJzzI1xojZ5pRltCQhz79XHaK0zhJwIPTD7hL2u6JrDrny7/sa/hEEHSlzCMKo0GJ3csglkHtXMfAnlKoZtCSE90QIf7DUmdQUA8VtIlnbIwKB5z3w7hd5R4DI0pASiSRU6bseBA3lEOUyJDQYISyq5WO9BYLkMWBppbNubYRV/+e5/9n1IqIgEEfWwNJHxPqg6UE1uyfYXVjLeS+tafMimFPWwMA4Iyvvz2y2L1yvI0yvJTpcT25lI41WB4MCCARNbg8CsbQ7FWqbbOwrruPjTXntaveOfJFfee5k8XkVdGCQrc5c/O3iSdx9+iiuP3kYEwfGtukdoL5Xqis1eEcQ2H1CulurQa+mGFQ2WnttFsVid7DhUCX3f7aDdQcreqUNxzLVAWb4ytuofuGNt0AAMDIlmkPlDe7fmvo7LKk1Bz6BpFdpsNjJqwzO9+RYIVBKzBurD7kN+HL6oEDwzY4iPt1S4LNNr+uYQDDSVclgj8vZ3ugVNQDw4c0n8tgCUbWorUo6PUlL1+hQiiBwpxgoHgGnNkjj4s7gE0HgFcnnvb1Y/odLJJIQJYhk+eDQaDS3ArcCpKSkkJWV1VWnbo6iMKe+hO0FTdStXBnU7OiAMbdTGzeRcftfxF58lJ0B2hddf5gx2QuJqT9ISfo8BpSI0MgtP7xHQ8yoZm2YsfU+9MZUtsx8AUdOPeQ0P2dv8H+bTOyrcvLW4lXMSAv8EdudCjuPmhifqOXo7s0c9duvfn5GrYNN2cLssbroMFlZYtCfVycueAt/2MpHP2mobfJ0AKc+sdS9nlB3CKM+uE7Tl9lWdBpIt4rn+3HtFqoHiPZXmpysK7Jz/ghDq5/31mKXB0D2bqbHaFmzupi6CgtVDfZWv5NFDWJQVnjkIFmWXABMdnEh/2X3fkorbUQboMEGqzdspjRRF/A8+w95Om9f/riKAdE9r8F9mWPl60O+HSCHo/XXL+k6Nh1t3vnctvcgWUrbaS4AO8vFd3j3zu2Y83TomqwcrbSxcq2IbMow1LMJ+O/365iTYWjlTKFHQ0NDv/8ePr7exNE6J6/PiyQ8yP++/ojF7hkI/bhyDamRvv+Fh0obmZmmZ20T/LRlL8n1B3u6iZ3iriWiUk1KhIZyk3it5Tk7yDrS/s+8tFFcf5Zs2Q/AoZz9ZPm9H5Gua9SazTtwFHZZ161TrDoi/uvSIzWUNCloELn+P2/eSvWhwNfInmZ3thBsq+ubUGxC0Nidc5gsXWG3Pu+BKo8osGrdz2TEiO9/o83zu/hhzWYq0kPjs5RIguVYuI5LulAgUBTlDeANgLFjxyqZmZlddermNJTBKitLSqM5Yd4E5k9IC+JBrvZUfgGWerMKuioAACAASURBVAK279N3oD4bzn2OASfcIswHX5zKzHQNHO93fP4mWHUIzn+ROTPO69TL6Wpe3LsOqmqIHzSSzFOGBzzm2R/3U2M5xFWZU8icOtC9/f+i8th6tJrMzKkADNy9lp0FIiXjktNPZFRqDAC5FY2wPoufiz0XwYRIg9vTQCVj/HQmDYoLqt2v7d/ApEEOrjrvJJ7e9CMkZJCZOQ6AC19dx458E3decDIjUqJbPEfhxqOwYzdz55zkTonYYc/hx6PZnDLnVPQB6lB9s6OIb3PyABMnzZhC5lgRmeJ0KmhXfE/KoCHYC/MYkmxkb3EdG2pjWFHm4NPbTmp+rrIdkCdmlQaNmexTOrKn+Kl2NxzylXz0On3g77yky/llWTaa/TnuqqoGnYbw+FROOHkyZXUWhiW3Eu0EWPaUwNatzDp+JpMGxVEbX8jiQ9uJGDgK2M3Fp05jdfEOynRJZGZO6/4X1IVkZWX16+/hgZJ6ji5ZDUBT0mjOmpbRyy3qPbbn18DydQCMmTyd4wbHu/cpioJp6Q9MHD2UMkc5dbowMjNP7K2mthunU4El3wOQmhBDuUnM/J89b26HzlfdaOWhNcvYUORgQJyRGxecQnJ0uM8xtSYbD69dSurgEWTOGdG5F9BFrKzdTUx4IcPSYyk5XEVKTDhl9RbGTZrCab1w7QvEksqdkJuPRdGiCTMCjcQmpbv7ON2FPqcCNglR94AjlWsyRRnrigYLrBCTTxGpQ8nMHN2t7ZBIupr+fh2XCPpmikHOMgDWOyey6JeCNg72wxgLlgCu4ooCZftg7Hlwwi1iW/xQkcawbzHu3r6lHn7+N+xeBGhgwoXNTlVc2zGDva5CddDPKW3ZPT27tIGxaTGc7yUOAFxx/BD+cZnnwqn6EIxIjmKk18BcTTHwJsmvQwO4cyrbos5sY2teNbNHJWM06Jg4KI6tRz1VJCpdYZVtmQHnV5kw6DSkxRrd2+IihA62q7CWXQXN/Sfu+ngb6w9VApDg5cWg1WpIjg5nX3EdFQ1WJrjKQGYdKGdTblXAygiNFjvR4eL5etKo0OlUeOyr3ewpqiUlwOcQSnWp+zu1TVZiwvXuFIFJg+Ior7fw/LJsMp/LYuvR1i1d1BSDcNfjRySL393uQvHdjQzTM39CGsv2lvSIG7ckeNTPCODzre28NvUzFm8vcq/7p900WR04nAqxRgPTh8azPb/GXaGjL5Bb2eherzPbeOeG41nzYMfEAfCkswGcNTG9mTgAEGvUE6bTtitdqbupaLCSEhvuLnucEiPaHVopBiIiq8nqcF+ze8SDwKuKwWdb892VDLy9CQ6VNzZ7nEQikYQCwZQ5/BjYAIzVaDQFGo3mpu5vViuUZ8Per2kIT2WPMsw9ux004bHNPQiWPAxvZELFAUgd79mu0cAp98DhLMheAutfhhePgyUPwcaFMHAaRCT4nGrr0SpOeuYnFu8oojdotNjdpQKzWxEI6s02H0O+lihz1Ta+aNogn9D+iEACgVc5pnMmpQNwpCK4C+DanAocToW548Ts/YwhCewoqHFfTO2uvL22Oh75VU1kJES6zYjA0/m6+LX1nP/K2lYfPyYtxuf+nNEpLN9XJto01Pez3h+gfF2Dxc6IlCh0Wk2PlTosr7fwx0U7ef/no9z98TaaArxHFrtTllrqIRosDmKMBpb+4VRevWo6A+KMlDdY+MVVw/ztdbmtPt7fg2BEiog42O0yOowM03Hl8YMx25ws3VPaTa9C0hFyKxvRaTX8bu5I1h+qJL/q2PUi+GF3MePSxf9pjZ9AoApbsREGZg5NpMFib1elj97k6+2FnP7PVe77tU025o5NZXBiZIfPqdNq3MaEydFhAY/RaDQkRYeFlEmhWhpYNeXNSBBReyFlUugloqoRjj0hEKh9lmtmDcFsc7onDKxe783hICdQJBKJpKcJporBrxVFGaAoikFRlAxFUf7TEw1zU7wD7C7F3Fwnyg/m/MiBpHmAhqpGa/tm68NjxXlU8jeJSgTF28V9b4EARDRB8hj4+EpY+ijEZcC0a2HYHJh1e7PTr8oWpnB7i3q+s/PF1gL2Fovn1Wk15FW1PECtM9mJMbadYXLjKcM5ZVQyvz3NN6RRnTHwRp31iI80sPCaGQyKjxCpCEGgihlqGOq0IfGYbU73dlUoaGqjbF9eVVOzjlqs0VcI8R4o+393/IWP+RNS3evTh/gLBM0/4waLnbgIA+mxRo5WNqEoCluPVnfr7Ng/lx5wm2U5nIrbKPGkEUk+x3WmwkRXsbeojhlPLuPp7/f1dlNaxWxz8P6G3A6JKo0WO1HhOoYlR3HelAGkRIdTXm9xmwqW17U+A6hGe6gCQVS4ngFxRna5ZqcjDDomDoxFq4G8SjkDFUocrmhkcEIEV584FL1Ww2tZvnnkE/+8hHs+2U5hjYnxjy3xiTjob1Q1WpmaIf7Pqxt9B2Sqs3ys0eAWXr0jxkKZ9zeI9K0JA0REWSADxo6gXiMCReKpDEmMZGdBTciUx1MFgsyxIp3gttNGAqEVQRCoUkBPVjEYmy6+JwddYoC6PTEqjMNB9o8kEomkpwndFAOnEwq3wuunwtLHxLbqXPfubUnnAmLQ064LtDEWbI3gdF3ActeI5aw7YPCJYuDvjc4AJ9/luX/D93DhK3D9tzDlV81OX1AtZowCDaC7k0aLnfs+28Hl/94AwJSMOCoaLD4XaodT4c9f7+aBz3ZQb7H5hDW2xK9mDuaDm0/0qcUM+MzQq8S7KgAMThAD9OSYcKqCdAuuabIRa9RjcHkETMkQvgVqSoA6aGq0tv5Z51U1MSQxwmebd2UCEBUGVLw9E+aMTm52vjPGe/wtRqVGuwdtIPKN/Wm02IkK0zNxYCy7C2v5Zmcxly5cz3sbclttd2cwePkqaDUaGix2BsVHMG6AbzREdml9r3fcPt2ST2WjlR/3lPRqO9ri1ZUHeezrPXyzs/2RQI1WO1Hhnt9/Skw4tSabewaprRBhdwSB1+c62cvHIzJMh16nJTXGKF2wQ4wj5Y0MT45iYHwEl07P4Mtthe6Bn9Op0Gh18OW2QpbuKcFkc/DhRn972P6B1e7EYncyMD4Cjaa1CAI9GQkRpMaE9xmBIMEVKffxrbMAghLag8Hu+p4kRgWOIAC44LiBZJc2sPJAWbP3tDeoM9uINRp46Oxx7H/ybDJc135LCAkE5fUWUmN8RZfWShV3FaoQMN4VRaOW8rS6zDsHJ0RQb7b7VDiQSCSSUCF0BYIdH8Gbp4v1Ta/Dpjeh1uUCfuFrFBg8M9rFte0I5Q4Xaq47zaBgKySNgrOfgZuWQkwAw8Ox53rWWyuniGfQWNXYs3mC/rnI6sxNQbXwQyiuNbF8XynvbTjKZ1sLgo4gCIa3rpvJuPQY98y9GqYfH2Fwd2JeXpHDsD9+1+KMbFWj1adjNCQxklijnp2uGTY1XG/TkSpueGdTwIFug8VOrcnGoPjWIwgKa0ys2FdKZYPFHRr56HnjeePamc3OadBp+ep3s/nn5VPRaTUkenkU+KcYWO1OimvNJEWHMXVwPIcrGvnL4j0AfLW9iKV7SnzCC7sK76iKgmoTdSYxg+3dVhApFvd+up231hxuNf2kO1Fzd0tqzZhtDp778YDbXyKUUEuJtVbS0puSWjNXvL6B0jozDV4+FODJywVRorC8jZKb/ikGIAYGKqqwlx5npKROCgS9jfdvOq+qiaFJ4hqhRkGp/zFlXp+7+ps1GkLD6b2rUaOY4iL0xEU0N69VB2hxEaIqzcxhCWzJ7RsCgcXuZOrgeOIiDPzz8ql8ecfJXXJeNSigpRQDgAVTBqLRwI3/3cJVb27skuftDGoEgVarwWjQEe5KkzDbQiPFwOFUqGy0+vgnJUWF9VAEgfhAU2OMJEQa3NECqnAwyJWO8c3OIv61LLvb2yORSCTtITQFgoYy2PE/323f3w81osQeY87yUV2La9rRSQ53zaqa64Q4cOA7GDSj9cdEJcO5z8ENS9o8vZp3XhkgrK078R/ITB0sZhwLqptYvKOIk575iXfX57r315psnRYIwvRazpsygHkT0ljyh1O5cfZwbs8cyZ/PF/Wa4yMN1Lg6hi+vFKG2VS3MelQ3Wd0zMyDyLSdnxLkjCNSL6sKsQ6w8UM7m3OZGb1Wu3Ez/DlZshO/rvPvjbdz07hae+WG/O+Jj1oikgL4KINIeLp0h3MiHuEQQnVZDdmk9TqfCol8KuPndzaw9WE6Dxc688WnuVImqRisnDE9kR34Nt76/lbfWHg74HJ2hrN7MyJQoHjl3PFaHk5yyeqLC9e4ZKe/IiO93lfC37/Zx6cL1Xd6OYFDrw1vsTl5ckcMrKw/y8k+hV95M7awHUUEVEBEHG49U8c2OIncUiYq3QDBtSDwNFjtNrUTCqKkg3oPHeePT+PUJQ/j4llnu7emxMoKgt9l4uJIxj/7A1qNVNFjsNFjspMcJg1R1UHKwXIhx6n8NeETtUMrV7koaXAJBtNFAakw4ZfW+31N3BIFLvJ0xNJHCGpM7DSeUsdodbgPRS2dkuCv7dBVJUS2nGMRFGJjoMstV0wl7gqwDZXyyWfS/Xvkph50FNTidCnUmm8/11eiKNLTYQ2NWvLrJisOpMDLVM7EzPDmKRqvDxyywO7C7zq/XaRgYH0Gxq2/oFghcVZYe/HwnL63I6VMmnRKJpP8TegKBww7/PU+E/kelwKkPePYd+AEMkRCZhMnmcJv6FLUngsDoFUGw5p+g0cHs37f9uBNugaHNy9p5Y3M43TMl3kZCiqJ0+wXTP2RuiiuCYEd+LQddoW2qU7+K/8x6e8n+2zm8etV09/0wvZaHzh7nNj9MiAxzRxAYXR2q0hZmPKsarc1mvCcPimd/SR0Wu8M92FVRDdtK68w8vywbh1Nxiw/+IZr+Zox5LuOwb3cWsc8VBaCaK7VFSqzovE0aGEuT1cH9n+/g3k93sHxfGY98uZvEqDBmj0pm1ogk/rxgAguvns6988e4H6/m3nYl5fUWRqREM9UlShytbCI6XM91Jw3lwbPH8od5Y5o9JtiZ8a7E4VTIr25i9ijhjbAw61CPt6G9BNtpU39jSdFhNFocvikG0Z6KGqpwVFHfsoBY2WAhLsLgkzpiNOh45pLJnDTS4yuRHmcMqQFVWZ2Z/SV1IZMf3Z04nArf7Szm253FAPy0v8z935bm+o8YleoSCFzfjYJqz3Uqu1RsK+unESDq/0t0uI70uIhm31O3B0GEKhB4fAgqGyz8/n/bQtbg0WJ3ugWC7iCplQgCgJeuFKVNBycGd83qCq5/ZzMPfbELq93Jc0uzueCVdTRa7TgV3+urQScU1bfWHun2AXgwqNFao7wiCIa7ysx2dxSBzXXtMOi0QiBw/QbUiCNVIFAJxUg6iURy7BJ6AsGuz6DCFW6VOh7mPgK3/CTuH1klUgQ0Gsw2B0MSI4kw6MgpbYcTbJSrNu+2D+HQTzDuPEib2CVN9xYFKl0pBkU1Jn7/v+2MfXSJW1EOhNnm6FR+uP+Ab3hSFCNTonhxRbaPYeKYNM+FMqaTAkFbxEUYqDPbsTuc7lnPsgDh1T/tL2VPUZ1PBAEIHwKbQwmY678tT4SjPrxoFy+uyGF7fo07rcNfIIgw6Dh3cjr/+Y0nhWDBlAGYbU5eWpFDdLg+qIoOIGZtAXct+0W/FLr3FdeaeeqiSYTptei0Gm48ZTjnTB7gkz/e2nego5S5cixVt3uAqDA9SdHh3JE5qllHRKUrqxrkVzWRdaCs1WOKakzYHAoLpgzkcVeUCbQsGvUm6hi3uNYc1GemGlA1WhzUm21Eh3tm/70jCEa6Bo3lDS2/5vIGi89jWmJgvJEGiz1guU0Q/ynrDla0eZ6u4qwXVnP2C2vc1Rr6M2sPVvC7j37h/Z+Fh0CT1UFprSoQiP+I+MgwUmLC3WKmdwTBpiMiAqq/poioXjHR4QbSY8Pdr7O60cquglr34EyNYps4MBajQcuWo1U88PlOvt5exOdbC7DYHRwNMSNOi617BIJLpg0C8ElPCsSIlGhunD3cHTHXk3gPqj/aKCIKvK+daqWjmiZbr1dYMVkdnPOi8JjyjvIYnuIRCEzW7vmPNFkdvLQiBxCiycA4o6eKgTvFwDcVMlDfSCKRSHqL0BIItrwNX90GiS5/gUmXiRjfgdNh/hNwwq0w/6+ACMONCtczJSPOPVgMipgBYrlxIdhNokJBF6Gq1Skx4W6x4PJ/b3CXPGytMzj1r0vJfDarw8/t70Gg1WpYdPtskqLDWbHfM3C7dHqGe90/9L6rUU0L68x2j0AQ4D248b9bgOYDe3VGPJDjvRoFoOaKF9ea3O+5f4imRqPhtatncMb4NBbfOZvTx6Xy1EWTufL4wYAnDzYY7sgcyfwJaTy2YELA/d6mhipR4XqmDRGvpbSLOwFWu5OqRiupMUaSosLcHe5IrwFqSzNSbTko/3y4kmF//I6cIPwKznlxDde/s7lVkUsdFE0eFMcNs4fz/d1zGJ0azdHK5jOFuwpqu0VMCRa1VOTCrEP84ZPtPvu+2VHE41/vBuCDn4+yPb/G/dtvsNhptPpGEHi//6pY05qoWV5vIaUVJ3MVddb1t+9vDfi7uvY/G7n6rY0BBbbuQI2eyqsKrQFdd+DvI1HbZHP/v6siIsCpo1PIOlCGzeFsNgDISIigpLZ/Dgoa1AgCo570OOG7YXc4ueDVtZz/ylqqGq1Eh3tMaQ06LVMz4sk6UM7q7HIAdhXWcs8n2znt2axeN1f1xupwNjPt7Qr+cdkUdv3lzKCuRUnRYTRaOzep0BFqTR5R4pkf9gPNIxEXXi2iCtcd6jlxMhAVXjPyg7wiBEd4RRAseHkNV7+1MaAIpSjC1LkjAsILK7Ld/xF6nZYB8cKQsN5sc3sTpMWGo/cyew5FoVwikRy7hJZAsOktsTz/JXikBKZfJ+5rNCIN4NxnYeqVgJgdM+p1TBuSwJ6iuuAvlDHpvvcTh3dR4z0XpAkDYqlqslJn9jiXA26zqkBY7M5OzSapEQSjUqPdF8C4SANnTxSvd3hyFPufPJtb5oxw51V3dwSBKhBUN1nd6SBlrZR4U40IVQbFR/DQ2eP4+XBzvwH1vVYfsz2vxu37kBDV8uuakhHP29cfL96bSenu9gVLUnQ4b143k+TocJ64sHnkSVgLM0tf3jGbE4YnBtUJqG60smR3cC7/hyvEQHNoUiQajYYRrlBK71ko71B1bzYcrgy4XeV/m8QM0bY2ZoTNNoc759jfuFFlR34N9322g+ToMHd5sAkDY5k9Kpm8qiafsPQjFY2c/8panv5+f6vP2514z5SpYeSe+2J2s7LBwqNf7eaiV9e591U1ipzXqBbe/9Gp0QxPjuLLbYW0RHl9cBEExw0WAsGm3Cr+s/aIz76yOjObXaZv610d9Z8PVzLusR98/pO6Cm8xpy0Txv6Af9RGXlUTpa7/tjQvgeDMiWnUme1sy6uh1mQjwqBjcGIEl83I4JLpGVQ2WnpVCOsu6lUPAleJTqciImPyXaV39xTVMiDO6POYGUMTOFLRiN2pMCYtmi25VXy/S/wPqmkaoYDF7mjxf74z6HXaoK/JqpgeqIRfd1IToCqRf/TdOZMHMG98Kj8fav360t149wm9v2spMWL9p31lHCoXwsC+4ubXLZPNwXsbjnL1WxvbnY5w0EsANug07ucvrjW7Uy/C9Tp3aWiQEQQSiaRjVDVaOemZFV1eNjmkBAJzXRmFwy+D4XPAENGqQ5jZ5iQiTMeUjDjsTsXHlX13YW3Lqq/BL9y6BYPCnNJ6aoMs0aeidoznjE5GUeAZ18z33WeMBuiWjrmKKhB8c+cp/HR/pnu7t6me0aBDq9Uwd2wqgI963R3EuzwFappsblfjUj+zKtXtGiAirPnX8fbMkbxy1TRev3aGe9A0fUg8lY1W7A6n2+zrrbVHeHXlQcJ02jZDNFVUn4bIFswJ2+K6k4aR+/fzWHrPqXx484msuO+0Vo9PizX6zPRWN1oDfk9vfHczt32wNagyVqqJ4yRXGsN0V6RCa7nzo1KjGRQfwbqc1mdGKtQQ1ja+Jt4lC3cVBBYT/rdZVCC5dEYGWq/v3XGDhWnfuoOezqQqpKmRN71Brd977z2Iy6sy0Wh1sGxv8xBaNdfa/zt49xmjeenX09BoNJw7OZ2NR6r427d7+cP/tvGnL3fxu49+cYskwQoEOq2GF688DoCdBb4XBm8Dsw2ujvpHG/Mw25ws2lrQ5rkDUWe2sWxvaUCPgUaLpzPemgjY1/n7D/tZtre0WRWQg+UNHCxrIMao9xGHRrrCmUvqzNSabIxKjWbNg6fz3OVTSYkOQ1FaNm7ty6gRBDFGvTuiwruM4Zaj1QzwS32aOSzBvf7AWeN8yhfnlPVO1ZVAdFeKQXtIcgkEquCcU1pP5rMr2diG6NsRPnYJxUCzahTgOzuvMjQpqtdnxNU+x5vXzfQxfFUFjTdWH0a9FAWq6uP9n9ZePwzvUrYGrdYdOSbS7ES7DDoNqbGe//nefr8kEknfZN3BCoprzbyW1bWG36EjECgKOlMVX+cE11ky2RxEGHTunHrvGYYFL6/l6reCKAF05xbhc9CsKQrzn1/NtCeXtstoR70ozB0nBuAfbxKDolNdLvIFLUQQeBsYdjRksM5sQ6/VuGfqVdTSg94D8ecun8ptp43k+GGJHXquYIl3XYjfXnvEnQJR5FdxQlXNz5s8gDvnjg54ngVTBnLWxHT3QP6E4Ukoipit9u6w1JvtJEQFny6QGBXGo+eN570bT2zfC/NjTFoMs0cl+5RSCkRajMjFVStw/P6T7Vz91kafUEjwzNgHUwljd2EtUWE6d9TIgikihaayhfzUE4cn8p/fzOTkkUlsPFLZqqGc2q62Zqne33CUYUmRJEaFsaMgsIJ5uLyBmUMTePgc39/bOZPTSYoK8+mEqpVAKhosvWZ45z9jlOP6f1EUxd1ZfC2AyaIaBRTlJxDcO38MF0wVpQpV0e6ttUf4ansRH23M47udxZTUmWl0pSgEIxAAXHjcIK4/eRjb8qt9/jvUSI7MsSnscXmQqNURlu9v3SuiJU56egW3vLeFbfnNRaAGr6oMXTUTtiW3iv0lPefU3hYOp8K/Vx3ilve28JmfyFLTZOOLXwo4a6JvhFqCSyStbrS6S8KpJLlmD1v6rfZlGizi9xMdrnebwn3nFYmjKDAo3jeC4OSRydwyZzhrHpzL3LEpPt4p2e3xGepmutukMBjUtKWLX1tPVaOVh77YSW5lUzMj4vbQYLE386UpqzPz8KJd7vvP/CAmPdY8OJf1fzydjX86w13W05tYo6FHKgW0htmuVoPx/azUyEarw8mFxw1iSGIkBwIIBN6VZvxTOFtj8Y4iH8FWq9W4xbDiWrO7colBpyU1RgoEEomkc6gRbV1dRj10BAJzDQaNg0olNqhBssnqINygZWhSFHqthoNlDSiK4jaGCQrV68APtYPrVP6fvfMMb6PM2vA96i6y3HsviVMcp/dKOgkEWHpvS92lLGXpsOx+wC6wlKX3GggttEBCeo/TmxPHiXuPe7dlS/p+jGYsWXKNnTig+7q4iGV5LFnSzPue85zncXT+74ySmia8dCp5syYxJMSLAL22wxGDyvq2i09vu2+1TWJsYfvNsbQZqbPpxvh6aHhoYWK/yCRtGRysJ8zbjRWHimRp4sH8Ko7adDeli+KVEyI7jBmUcNeo0KgUJIeL3fLF/9sCwAfXj8XHetH37SQiyhk3T4tlqDU2qr+ZPSSI5lYz/1klSuelbvudn+91qhboyHzOlrTiWgYH6+Wu/OhIH548byiPLrLfiH9z2yTeu3Ysy26dRJSfB6OjfKhsaHE6/w/iiUbaCHfmrpxX0cDunEouGxdJcriBgx0oCDJK6+1MFCW0KiXnJAay5USZrHrIt1HanCm5evsCQZbVr6GyoUUep8itaHBYfEoKEVuTwvbYStCHh7W9977fV8j/WVVH3U3VAFHG3tRi5r6vDsiqp7SiGkINOkZH+lBY3Uij0SR7ERwtrOn0QnK8pNauoAhi4bLeWthy9prY3r8vXrOmFhMXv7Wdc60mYwOB9u+J0HYSeYDbZsTZfS36m4hFtvYFAkle3L5A+HugrqkVQRDVWVF+7hjc1Gw4Vmp3n1CD/Xtcp1by6KKhRPi6o1Iq+Pb2yex+bA6JwXr2ZPfAZ6gPqG5s4YMtWU7Th4yt5n6/dnZFsM3f7stdueRaRze62sg2t5qY99JGu2INiJ+34U+u4t8r7ce6trRTuGVaJfkGdzWh3m525zJbDFZ/I0nZuPpICS+sOtbV0+pTmtrFxX520wQ+u2mCrL4AmD7In/hATzKcjLDYKgh6kj609qijsixIr0Uh2CsINCqFPO4AA6sI5sKFi7MHjXWMta9jkwdMgcBSJy4eyixeHc4x29JkVRColQqi/NzZmVXBVe+l8N/V6fJ9nvjhsNOFsGX4n2hEx5ubsp0eO6O07USdWtj9mY7CqkZCvd0QBIEPrh/Le9eO5eMbx+OhVRHm7UZBVSNvbsjg6915dj8nJR4A/N8vR3rVNa1tanU6vyhFIXl3MpffX7hrVDx8bqL8tbe7mrI6Iwtf2SxfvNtHg3WGh0ZJtJ87ge0WJdMSAhgVKcpTpWixgcikOD/OTQrhw63ZDHtipax+SMmq4BtrR9JWyv7LoeIu4zGLa5rs3JAFQeCGKTGyckRibLQvc4a2GShKpon78uwX3v+34gjnvLiBXdkV8oawow6nxWKRZ98XjwghKdybEyfrHDaX1Y0tlNU1d6iwmJrgT3Vji/xZsy2k5ZyBqLNWk9lhMygVUnLbPZ4lyWHyv2P8Pci23s+vE5PBYJuNpaQqAPj3yjSWpuQyOEjPwuEh3X68k+P8uWh0GCsOFbHUqsTIq2wkys+D2AAPLBa46eNd5FY0kBisx2gyM9BIHgAAIABJREFUO5XUgtgln/vSJlmBZWw102BstYupc1a4kjYC7holOeX1PPHDYblY8cKqYw4bkq6QxlYGUjS4pKSRfF1qm1r555Jh/PiXKXxz2yQ23D/T4fyjUirw0qmpbDBaM+NtFQTiRuX3WCCobW7FUyMWrAVBIDnCW1awSLQfMWhPsEGHv6eW85JD2ZldYXdd7m8+25HD0z8f4ckfUu1ulyKL+8OksCeEebvx7e2TGRvlw6fbc+T3UFcNhvzKRtJL6rhz6V7+8VOqrNCRinq2ypgdmeX87asDTo+j72KMz2At2N/1xT4ySuv48ye7eW39idOqKJBGDHTW12pqgj9TE/wRBIH/XDwCEE1EI3zcHMY/LRaLnYKgtovCi63yor7ZJPvsSKiUCoK8dOzMquCXQ+K5UKNU2CnFjhbV9GmykAsXLv4YSMkov9sCQX2VWHWtwEs21eoMqUAAkBCoZ3dOpUO3/5PtOWw5Uerwszkz/8eQpg8cquUSknGNWinYRQR2RWFVE6HWRc85iUHMGRrEjEFirGKYjxv5lQ38e2UaD3xzkNs+3SN3TG0VBKtSS7olLW9PdWOL01QCvU7Nsxcl8ekpyuh7S6TNRnV0ZNuMaWFVIzVNLdz9pegQ337T74zrJkdz56x4O4f3C0aGolYqZEn3sNOkBugtc60pB9LmWyK9pJZWk9lOvv3B1iw7eWd7LBYLxdVNDmZf3SEhUI9OrZAj2CTe3ZxFZmk9Kw4VoVEpSAj0pKyD92NKVgUfbcvmkjHhRPi6kxxuwGwR5+E/T8lhwcubsFgs5Fo3zdH+jgoCQB512W997gVVDfhbN0/ZXSQt9DWHC6qJf/RXzBa4ZXosX/x5Iv6eGtnlun2BQEragLaEAk+tiuRwbzrC1uU+wSZ+S2JyvB/KHvqD/PfSkQR76ThmXfBX1Bvx89TIRRnp3PjXc8QxnkMdmNlIm2DptXjs+0Nc+vZ2O/mrszlkqSgUF+BJYXUTn2zP4d3NmbSYzLy2/gR3Lt3bo+cjFYklZdBAQDIzHRcjvl9rm1u5ZlI0I8K9GRvt2+H729dDQ3lnCoLa39+IQU1jq10xZKT1c+LnoWHxiBDCvN3kImVXXDxGTN7prnFrXyB5w3y5K49Fr26Wx55azRbMFs74iAGIpo5XT4yiyKZ4d7K2c5m6baHvw63ZvLtJLPBK45G2vkSS4dU1E6Mc/Iq6GuOTkg22nChj9osb5dsL+9GHqT1tCgLH1+rSsRFkPnMufp5awn3cqW1qpbqhhdqmFpa8toU7Pt9rd41uHyNty3O/pjHu/9bweUoOT/2YSn1zKx5OFGQGNzUpWRWy345a1TZiMDbKhwaj6YwUxF24cHF2I53rfrcjBnXlYlW13OLFB1uyO32iFouFxhaTLB2TujYalYJ/XTC8y9+132YTdsDJPG3GyTrcNUpmDQ60M/vqisLqRkK9nW/Wwn3c5O4iwMrUYtl4aWe2vUt/d6Tl7SmubrLbeNhyxfjIDhev/Y1tgeC85LauaGFVk7xxvHhMuENUkjPOSw5lycgwQrx1zBocwBd/nsjLl48C2uS/0X7unR3ijDN3aBDnJ4fy1a2TmBTrx6p7pjM2yoevdudzy6d7+HJnnt1i7Lu9HbvdVzW00Nxq7lDm2RlKhUCMvyeZpXVUWRM3bPn1UBFxAZ6E+7hRYaNwOWFjFrYjsxxBgMfPEyMfx8f4olEp+OfPR3h0+WHSims5WdssL1o7epwhBh2eWpUs88wsrWdynD9KheCwIe9vPtyaLf97Upwfk+L8iPR1lxUE7c2qpILUtAR/2SNjarx/pxJk203ijEEBPL1kGPNs1B2+7s5jKbsiMUTP3twqLn1rO1ll9fh7aonx97Az4Vw4PBi9TtVhgcB2g1FQ1ciPBwpJL6mzS1hxlvohFQgks0yAemOrPJphS3VDS5fKGCnjvbKhpc8ver1FKp5IG1uPbpqb+rirKapqpMVksXvtvXQqNEoFZfW/PwVBjXXkTWJkhPi+CPLS8dqVo9n60DlderZIBHnpGBrixYdbs6hrbu3UgLUvMJkt7MquYLbVSyi1sIZ/rTgCtC3AzvSIgcQC6+cZRAVTSRcKAqmYMGuw2LiQVBmSgsA2caWkpgmtSsHTS4bx3J9G9OhxtU82kMjuYKStP2g/YtAeaSxPGufKq2zgu70FHMiv5tfDxXaqgc5GN97amEF5vZFHlx/mo23ZNBhbHTxoALLbRSmqlYJcIJgcL/pU7cpyTGw6m3n2l6NMfGbtmX4YLlz8rvndFwiarAqC6aOGUFbX3OEsM4jSMbMFeWZdKhAoBYGrJ0bxhjWHF5zPjkkFAm93Nbd9tof9eVV2RmyZZeK89LBQA1ll9XZSs45oMLZS1dBCiMG5bDLciZzyQF4VWWX1sm/C/64QN7vOOnRdUVTd1OHvPpPYLhQWDg9h84OzALFLLPkSXGLtEHUXtVLBhzeMZ1Kcn3zb3+YOYlCQJ5Pi/PvgUfcfHloVr14xivExvnxxy0QGB+tptS5416Wd5Nu9+ZybZC8v7yjNQFrs9UZBAGIe9InSOma9sIERT/1Gpo2Et7KhhSAvLQF6rdx12pheypz/bmK3taC1J6eSxGAvubij16mZM8S+qHa0qEaWv0qqgPYIgkBcgPhYKuuNnKxtJinMQKi3zm5B+en2bDszw44wmy08svwQe3NPbW5ZUgRE+3tw/GQtJrOohrDtHiZHeLP2vhl8fMN4jlq79wuTgp0eT0LqvunUChQKgWsnRfPOtWPl7/t28HfqisFBenIrGuSCo6+HBp1ayaGn5rPpgVmsvnc6CoXA8FBDh3E4tv4Bs17YQFOLGWOrWe7oe2pVVNQbKahqZE9O22JWirWTNoIgGsfOe2mT/HVTi4ktBS0kP/0bD3x9sNPnYjt2VTpAJPhS4TbIS8cLlyTz3R1TuvVzvh4a+X1sez4UBAE/T41dV/f3Qk07tYSkqOntuWpWYgBldUaGP7mK0f9c3a9S9bqmVlpMFibH+/P+dWOZMySQDcdKMZstsoRzICgIQNz8XjBSHHMaG+VDSU1TpyOKRdYO/ptXj+HWGbGkFlbT1GKSfZdsCx/FNc0EG3QIgmD3fFP/Mb/Lx+XVQYHgug92dupp01sajSY50UeiSXqtnCgIbAm3jujlVzbaNY9s1aPldUanf9efnCTtVDW24KFRsfTPE3jKWjwHePmyUVw5IVL+Wq1QMDTUi0C9liUjQwnzduO3I6dPJXM6eHtTJsU1TV0WhF24cNF7pHEqYx9fFwfGVQ5orhdPzNOHiyZPKZ1UUpftEjcJSdZulVQgMFtP4LadCWnjfyi/Wu4yF1Q1khis59XLR1FU3cQFr29l9D9XyxeAjJN1xAV4MiREj8UCf1m6r8sigeTO35GCwFkU0P68KtZbHcXvmZMguz33NNu4wdhKdWOL3WzzQEEQBJaMDOWGKdHo1EqCDToUgjhnLnUifTx6tyGyZWSEN7/dO6PDzsVA5v55g0mwmV0eEW6w+36mky7sR1uz+NOb24COO/NdERvgQV5Fo1yQWr7PXq0QbO3cldUZKapulCW+Px4opLqxhb05lYyN8rH7mScWD0OtbFNAfLYjl0eXHwawy3xuT1ygJydO1skb0cHBemL9PcW40cYWGo0mHv8hlYe/O9RllTS7vJ6lKblc9MY2jhbVcPtne+TkCBDVJtJGeH9elV2cqW0HXdrMzBocSFmdkZTMcnGOv918aVyAJwqFwLAQ8XWba6MG6IhND8xiy9/PsbtNUu32VkEwNcFfNquBthl3pUIg0s+dhCBxnCEp3EBaUS1ldc28uSHD7u8pbRTmDwuyu/1AXhVuaiURvu58syefKc+t409vbgfg9s/28N7mTMB+5GJzuxjNrLJ60ivFY/50sLBTubHtmJVtNGhpbTMfbs2yK2adLqQ4Ql93DRePCWdwsON4iDO0KqV8Tm9/fhof48v6tJO9Tq8ZqFQ7+C1oSY7wJqndua273D4znocWJsrH7k/Hd6lbrNeqmD0kiHlDg2kwmrjuw53UWNcQ2g660meC++cP5sPrx5EY4kVzq7nT9UNRTRN+1sLhpFg/WkwWNqaXyufDrLJ6/v6NWLwrqW6Sry22BQJn3fH2dHYd7mxt1xssFgvnvbaF817bYneuaO5CQSAh+TT9dqSY/XlVsqJgt9UYUxDg0x05PG9jstjUYiKnvJ6/frHP4Xi5FQ24a5RMjvPn+ikx8u0LhgfzzIVJ8tcKhUC4jzs7H51DXIAnc4aIZr2/Rx+C3NOoHHHh4o+GtH7o60LcgCkQNDWKm6DYEH8GB+l5ftUxoh9a4WAWVtPUwitrjzM5zo9p1vhAqSBw0WixE+1rs+GsbDDSajJz3mtbuO6DnYDoyu7vqWX6oADOscoIQdyINRpNFFQ1EhfgKbvbr0s7yde7O88Ol2alnUX+AMT4O8opM0rr2Xy8lFh/D+6ZM0jeKHfUMe4IqQPVUXHiTPPK5aN48rxhgNj9D/LSkV/VSJX1tfUeQHPGZ4KpCf6s/tsM+ev2qQpZpY4Fgnc3Z8mmXxE9cLy3xbaQplEqWJpi350P9NLJ5o97c6pYlyaqfD7ZnsOop3+j3miyyy4H0Vjs1ultTu5rjpbIConOFmqDg/SU1DTzf7+IUt7EYD2JwXrSimtJ/sdv/LC/rXixKd3RV8SWo0VtYxALX9nMr4eL2W3T7X7ih8OM+781LE3J5YLXt/KPn9qMyDJt/taS6eecIUEY3NTc/MlutmeWyyklthJqgBcvTWbL32fhrul6AR3p5+5QMJHKKr0tmE1LCCD16fny+c+vg+MkhRkwmsw8/N0h/r0yjc925MjfkzYK/3dhErH+HpxnNVHcllFOpK+7w7mppqmFXw8Xyw7cMU5Gma6fHA2IRo8VTRbc1EoslrY5b2eU1xmJs6ZelNQ0Ud3QwuGCat7ckME/fjrCkz+mdviz/UVlvRE3tbLLtJX2TJWvUx4Oxb9LxkRQ09TKHZ/v/V1tDGqbWh3Gxr6/YzL3zBnUq+N5alXcNiOO968TlTb9WSCQUkqkz7d0Pt58vIztmeL8+EBREIC4GZ+VGCh/Xmwjn1tNZh7+7iDHims5cbKOpSm5ciNharw/AXotH27NosRGxbJsdx53Lt3LzuwKeWyxpwURZwWCly5LBugwzam3HMyvlp+zbVKGPGLQhaGkt7uG22bE8d3eArLK6rlsbAQKoU1pKgkHpFjb8rpmJj27lhnPb3B6PIule0WU9gwK1tPUYqbodxR3KF2LMpysYVy4cNE3SHuBRqOJVpO5zxoOA+YqZzY2YrQo8fLQMt5qAgXI0VwSP+wvpLKhhYcWJspSXTeNkpRHZvP0EnETamtsVVFvlCWq0gm/3GrgBfZxYjsyy+WZ2dgAD7sc5s4Ws9A2yxfnpBAA4sL5x79M4evbJsm3FVQ2sju7kolWqbz0uHs6YiBJzYO9Bt6IgTPCvN0orGqkytrp8HY7dQXB74ElI8XN2LAQA1sfOoctf5+FSiGQWWbfLW0wtlJY3cgt02P5+a9Tu2Xw6Iwp8W3jGK9fNVouxkmd7CAvLUNCvNCoFHyekmM33yrtZca0UxAActHgwlFhDt/riGkJ4kzs4YIabpsRR6CXzq5D+8HWLLk7fsDJ+NGenEoueH0rRdWNpBXXIAjYZUzbnkekztAjy0UDyBKraqCoupGCqkai/dy5YUq0fH83jZJvb5/MgmHBDA3x4vzkUL65bRKr720r6oC4KAz36b0HhnQ+62hj3x3USgWe1sVpR0kK0mu2J0f8O3y9J19Oz8ivbECvU+HvqWXd/TN5eGFbCklSuEE+10hdt4N5bbJejVKBVqXk29sncc+cBPn2O2aKBaOyumYqmsxMjvNDrRScKmMkKuqNjI70QSHAv1ceY/rz61n8vy18sFU0VevuJuOH/QVMeGaNQ6G5J3y6PZv7vjpAYVWTfN3oCVeMjyT7uUWsvW+mQ7rIlHg/7pmTwLq0k6x2Eo92tlLjxDS3K2O77iCZABdX99/YiWRIJxUIE4LarunS+26geBDYIimELntnhzxedaK0ji925vH2pgw+tH527psnFmlUSgV3z05gR2YFy9olK0mpI9JL1tOCiLP7XzgqHL1ORX5l33aTd1lHqhSCOAYn0dRiRqkQ7BRtHXH/vEEE6LUIAlw3JZogLx1Gk5n2XrFvbsjg/q8POKzR2p+znZkUdkWMtbm04KVNFFU38uuhIi59e3uvUq0GCpIKr/0axoULF32HNGJQVmck/tFfGfbkqj4pEgycq1xLI01o0KmUdgWC9nFc+3Ir8ffUyuMFEkFeOtlgR6VUsOmBWYT7uFHZYLRz+b3t0z2U1xnx8xAXz7ZxNCmZFeRZL15Rvh4IgsDmB2dx4agw1qad5K2NGU5HDUxmC8dKavH31MrxPs4YEe7NuGhflt48gZunxlBQ1Uhtc6ss03ZTK9GqFE5NwDrjVGfRTzdh1lihyoYWPDTKAbnYOhM8f3Eya++bgcFdTZi3G+E+7kT6ujsYvaUV12KxiDOnw8N6J9kFCNBr5QLZ3KFBPH/JCHw9NIyLEj9/aoUCjUrBkGA92zJEQ8JXrxjF3bMTuGBkKOOjfe2KaBIzBwfy273T+e+lyex8ZHa3HsuQkLZiwIPzBwMwKKjttvSSOsZE+Yi+CU4yq9ceLWF/XhU3fbSbpSm5JAR68ubVY2SF0Hd7C7j6vRQq6400t5rw0qnkpIADedVsTC/lt1Rxg/b+9eNkxYtEfKAn/71sJL/cPY1ZiYGMjfbt85GeU1UQSEiKHLcOun6h3m6EGnSyFPloUQ2fbM/hYH4VX+zMY7DN3902hmtEuIE3rhrNzVNjeOnSkUBbkQHaNk1jonxZPKLNR8PXQ4MgiOqEyiYLEb7uRPl5OM0eB7HzV9fcSrS/B1F+HmSV1RPt5y4/Ln9PLcVdzFqDeF6++8v9lNQ0k9qB50J3ePyHVL7dm8+aoyVMiPHr+gd6gCAI/GVWPGHebg7xt2crJrOF2ubWfhn3kq5xRdX954YvmdNJCgKtSsnPf50KQJbVaO5Mxxw6I9TmfPTpdlEVdNyq7PkttYRfDxczf1gQ5yS2jUBdPTFKLvZJ3DYjjnvnDOLqiZHcPDUW6HmBQBAEbp4aY+cHBeK8f34fKwh2Z1cS6evOohGh7LPxnWlqMaFTKbpVmFIpFaz52wx2PToHL51avi56tFOD/XtlGuuPlTLORjn3zIVJzBwcaHe/zlRkmx+cxac3jXe4XTKSrm1uZdkuq4ojq8IhgvFsQmVdk6f2IA3sdNHcauKmj3bZvWdcuDgbaV8MkIx2T5WBszNrbaIZDQqFwIROCgQH8qoYGeHd5Uk/0s+dUIMbpbXNfLe3bTxgZWoxdc2tcifosnERfHv7ZM5PDmVHZrksXQwyiAvjCF93zk8OxWS28NyvabxiNRSUKKpuZPp/1vPd3oJud/4mx/sTaeO2L3X0BEHAx13T4xQDyXhoIHoQOCPM2428ikb25VXi3ct5698jGpXCwdk7xt/DTvYO4oYOYEjIqUc6rrpnOnsfnwuIHZ49j82Ru7+SW7sksR0Z4c35yaHcO3cQL18+iq9um9Th53BQkB5BEGR1Q3s5fnsEQeCHO6fIRnogJgQ8vWSYrBxIjvAmPtCT4042lg1Wj4EjRTWU1xt5YvEwxkT58MH145gzJIgjRTVsOVHG+GfWUFZn5OZpsaT+Yz4XjAylrrmV6z7YyWvrTzA0xKvb7up9zV2zxb+79ylurF65fBSXju18Rn6MNVpyRLiB+EBPtp4o44f9hagUAv+7cpR8P7VSwUVWJciEGD/OTQrhscVD5U7uHpvF1flWBQxArFVJFWLQoVIq8PPQkFVWT2OreFtcgAfbM8qdms1J/gO+HhpZBfL44qH89Nep7Hh4NrdMj6HBaJKNETvCtrCW1k6J1l3qbX5Hc6uZWYkBvTpOZ6iUCsbH+HIwv2dFjNVHSnj216P97urfU6QNdneSaXqKwU2NVqXocMSg1WS2S1rpDZKCwNPmnDU8zIBeq5LjTgfSiIGEIAhypJ80BiOdK+uaW6moNzJ/mKOBqlQEmG6NZJ4a78/dcxL41wVJsmdEbwoijy0eKhvuSoXacB839uRW9qnb9rGSWpLCDCSHGyisbpLHpJpaTV36D9hicFPLY19S4dtdq+TTm8bz3EVJdvcNMbixcHgwYd5uXDkhUh6jkugs4STC111WzNlim0LV1GKWE6A6MpQ9G5B8IHZnV3RY0C2sapTHek4ne7IrWZt2kse+P3zaf7cLF31Jc6uJQL2WA0/OY84Q8Vzb1ShudxgwVzmhtQmjIG4WA7107Ht8LmOifOycyBuMrWSU1jvMcXaEr4eGXdmVfLbD0flcclQXBIExUT5MjPXjZG0zW0+UoVQIssIAsHPL/3p3vt2JbtmuPNn08OqJbQ61XWGbOGAbBejjoem5gqCmSXYsPxuQNhf7cqu6lRDxRybG34Ps8np5PvnVtcd5dPlhfD00duMxvcVDq7Lz7BAEgcnx/mQ/t0iWrEqFiDlDujbfc8aqe6bz273Tu7xfcoS3/Dulx3LtpGgeP28o42PErnRCkCfZZfUOC0xbJ3i9ViXPfYP957fFJP4dQww6dGql3XhGaW0z/+5hnFdfctfsBLKfWyR3XXpLjL8H/7k42S6yrD1SByzEoGNMpA97citZl3aSyfH+DmkoL16azIEn59kVHAL1WpQKQU60+PuCRJ5Y3ObYrVAIrLhrKj/cKTr9+3tq5WSaYIOOISFe1Da38vB3hxwem+QeHuvvwb//NILHFg1hTJQPGpWCYINONk4r6cL937a4nFbc8w5Wekktw55cZXfbrHadwr5ieJhBjATt5vzxyZom/vzJbt7emNnl+FtHHCms6VSG2GIys/ZoSY8lzlJyUEdO9qeC5Kj/7uYs1joZyXh5zXHm/HcT/12d3ulxJDM+Z6ZO7RUEEiHeOnLKRIXhQFW9bXpwFqEGnWwAeuJkrd11YuHwEIefuXZSFHsem8ObV43m5ctGMiXeUSXTVRJAZxx6ah5vXzMGgCHBeqoaWvjPyrReH88Wi8VCYZUYLz3CmpRxqEA8zzS1mHu9JpJMpbUqJdMSArh8vP3aLsRbxxtXiXGdII5fZT17rvz93ngQKBQCt80Qx7Gyyurk8/DG9N59vgcC0vmlpKbZqfKvqcXE5OfWcftne073Q2OfdeT4bFk3u/h9YjZb5BHP3tJoFIuhBjc17103jslxfmzqg/PGgLnKCaZmjELbptzHQ8P5yaEcLqjhgPWDXNxu/rUrbEcV2mNbAACYMyQQtVJgVWqJvPiV0KmVLLtlIn+ZFU9FvVHuTO3JqeCtjRlMjfdn5T3TuWZSdLceF7TNRycG6+26sCEGHfmVjR0uyv639jhP/3TE7rbi6ia76vNAxzbRoTeRjn8kYgI8ZOOiRqNJXvjGB3j2yUxvd5ga70+Un7udbLwnDA7Wn1IE5zUTo/jq1kkMDxO73a1mi9zJkyixSR9QtZs5lRa8Yd5u8qJfUtvUtJtNHx526qqMswFJtRRicGNMlA9VDS1kldXL+ei2CILgIBdXKRUMC/WiwWhCq1Jw24xYh4XWsFCDXIAJ0GvlqL+4AE9unxnHrMEBciIGiBvygqpGdmVXoFEqSI7wJtrfg5unxdq916VzXVEXBYK04loUglgMsY0v6y4v2LiWB3lp+eiGcb1a+HcHaWSuu1LcPJs57s9TcjhWXMsjyw85KO46otFo4txXN3P1eykd3uftjRnc9PFu1h87aXf7lztzmfafdR3OktfICoL++VvdO1ecof/cxlS1wdjK5uOl8pz9t3vy5cdiNls4UljDle/ukMc4Hv/+MMt257Eto9zh+JIypb0CIsTgJn9vICoIAAL1OpLCDTYFgjoSg/W8fuVo/nfFKKcGm2LcphYPrYoLRoU5va5oTqFoqdep5WLl3XMGEajXduo/0hMqG1pobjUTYnAj0TqmJhmmNrWYel3YiLB6yUTbmK5+cmPbWECowc3h7yQIguz/0tvzxEMLE5k5OIBVqSWyIeYXO3P7RC4skVVW368xobY0tZiZluCPXqvimvd3OkQPf29NTmqfeHM6kMbjbJOLXLg43fztq/3EP/prh9/vjnmxWAxtO9dNHxTAsZJaSmqaMLaaHdbL3WXAXOUUpiZaBPtN+wVWaesWa4dEiuAK8OzeZrh9nvwvd02T/207WwuiauG8EaJE1seJ7H1CrB+Lk8XjSSZp3+zJx9hqtouu6S5DQ724dlIU79rknwMkBHqSVlxL3CO/OJVRvrg6nQ+2ZskVp+X78lmXdnLAJhg4Q3Ld1ygVvHX16C7u/cdGcoXPKq1nY3rbQj0u0HlaRn8QG+DJxgdmdZjQcTpJCBQXge3HDE7WNDPIaiamaLdwGxyk59YZsbxz7RgeXyR2uWOtYwQ3To2R1USabs6r/h5IDPZiarw/0xL8mT2krSvekw65lL8+Jd6/y7+bdL5VKcTxE61Kyb1zB2FsNfOvn4/w/Ko05r20iYve2MrOrAqSIwwddnakYlN6SW2n0tRjxTVE+3mweEQo6SV1Doa3nWEyW9ieWc6wUC+Ghnix4q5pDnPGfYn0Oe/uhVwy6VswLJhVqSXMf3kTS1NyufvL/ZjMFlILq1mXVsL9Xx9wqhKQZNi7cyrJLW/gxd+OOXQxCq0FGNuIstqmFh767hB5FY0ddiiqrEXf/lAQANwwJYZbp8eyKb1UHgH514qjXPP+TuqNJqYPCqCgqpEjhTWMeOo3Ptgqqg22ZZTzwDcHKa9rpsxqXPz5jhyueT/FbpSktqkVtVJwKAJE2YwFOlsjDBRCvd3IKqvnb1/tJ72kjvhAPYtGhMiJJL3hVBQEtigVAklhhi6Le91FKoSEeuvw0okjAlLqT1OLucsEg464YFQYL1ySzDsnF4aOAAAgAElEQVRW5QOIi+4F1hGNjpKXYq1JEh35v3SHURFt/gbSuO2BXhQ4nXG4oJpZL2zgvc1Z/HigkOiHVlBe13+Gn40tJmL9PXj3urEU1zTx7qZMTGYLZrOFvIoGnrCm0SgExznq/sJk7djmVYjntbyKRrvPvwsXp5Pv9xcCztPrtmWUEffoL12OGTW1muzOOdI67sOt2Tz4zQFmPL+hV0bN/VPi7wUqUzMtCvtNu8FNjZ+HRu5USIuaQK+O89RtCTbo+OTG8QR6adGplET5uRPm7UZ8oKeDySHAohEhfLevoMNFWkKgHneNkj05lVw4Kpz8ykaSwr3t/AS6i1qp4Oklwx1ujw8UNy5mC7y3OZNHFw11uA/AoYJqRkX6cO+yAwCoFAOm1tMl8YF6vrtjMsnh3nZKDReOSBvi1MJqmq2y+jeuGm0nof8jERfgiSBYzbesdTmz2UJJTRNXjI8kvaSOy8dH2P2MIAg8vHAIIHa1z0sOlTtpg4L07H5sLu9syrBLdfi9o1QIfHbzBPnr5Ahv0otr7TpmXXHlhEg0KoVcyO2MKF/rwlnZJs9OCjPgqVXx9Z42j5iSmmZKaprl5ANnhPu4odeq+NeKo3y8PZvND57j9H7HimsZEuLFuUkhPPljKhvTT3bqy2DLysPF1Da1csv0WJaM7H4aR2/x99SgUSnkTXlHNLWYuO+rA7IS5h9LhhHq7YbBTY2vh5rHf0jl7i/38bPVhR7Ea4okXZYoq2/bFMx4YT0WC0yM9bP7DEjdUNsizNYTbR333TkVXDnBcayu3HrsU0nj6IrRUT68vSmT9JJaRkX6kFnaVjC8YXI0m9JLOffVzYAYtRrm3XaNfm9Llpw6tOaoWHRdm3aS860b6NqmFvQ6tUPRa3ho25oh0rf3aSX9TZSvOy0mC9/tFbuzCYGn7qnSl6aMwQad3EluNZlpbDHJiRE9JSVL7KxLRcMYf9HUd39eFWuOlsiRtD1Fp1Zy8Zhwh9uHhnqxMrVYHnNqz4hwAwfzq09ps3vbzFjWHC3hUEE18daGUXYvO4ASFosFiwU+2Z4NiMXTlYfFc8S2jPJTKh51RlOLKH2eGOvHoqQQVhwqIu6RX7hv7iBiAjwwtpq5a3YCr649zgurjvHn6bEd/m37ioWvbEIhCJTUNBHp605uRQMH8qqY7OT632oysze3inHRPpgt8MDXB7h0XAQTY3tuVms2W2R/JRcu2nOkqIbJceJ7sLi6iVs/3c0Bqy/R6iMlDobkFouF6z/cRXygJ41Gk10U7eBgPReNDuPdzZmyR9Hu7Apm93BMeMDsKpXmJkwKx41/uK87eRVilVhSEATqu1cgALHqmxjsRbS/mEqw8YGZfHzjeKcfVGlxJM2yOTxGhcDkOH/WHT2JxWIhv7KxT+bAbYm1MUhbcbDIbtRAkm4CrEs7aScTCzmLFAQAoyN9XMWBbhCg1zI4SM/G9FJKaprwcVdzblJIvxiAnQ24aZSE+7hxuLCtoroqtZhWs4WkcAP7n5jLfXMHd3mM9twyPY5hob1PhDjbWXbLRHY+2r3ECQmdWsnVE6PkjWRn3DwthhmDAlgcZ+938fcFgwn3cePLWyZyic2CvLPxMIVCkEdEpGsDwLJduXy8LRsQJfQ5FQ0MCtIToNfiqVV1u2tpbDXz4DcHCNRrmTmo/1QDtgiCQJi3W5fxjWnFtaw4VMSXu/LQqBQE6rU8cd5Q7p6TwBXjIwkx6OyKA9Amt7elrLatQCBdYnIr7EcGpOuLbbzpxvST6LUqZicGsj2j3OnsZIWNyWR/MSRYHAW668t9FFQ1ItB2LZkY62eXruLnoSWnvJ4JMb7E+Hvw5oYMLBa4cUqMfJ+7vtjHkte38vr6E6RkVjh9T0tmrcCAXui3L9jF90mBoO+WiiEGHZUNLTS1mLjry30kPfVbt30uCqsa+WG/WPjIKa/nnz+L45bS+ifG34Od2RW8v0UcNWnuQzNEECNbP7tpQocbxIcXDuH+eYOYM7R3fj0gFmNGRohrUIObmmg/d3LKTy0a8pZP93DtBzvZbZXVVze2yF432zLKaDGZufXT3bKnTF9gsVhobjXLG5dEm+LsxvRSOc3i6gmRxAd68t6WLP76xT4+T8lhW0b/jBxYLBbSS+pIK66lpqmVhUnBKATYkeX8eX+9J59L397OjR/tYsIza/huXwGXv7ODZ389CoiG0XkVDZ0qv/blVnLhG1uJfeQXh0QqF39sbPdwaUVtCsc1R0vk4gCIxYP2bM8oZ2N6Ke9vySIlq8JBcTk7McjOwDilg/d4ZwyYAoHK3EyrswKBjxtbTpTx7Z58Smub0SgVpxSf1JkBmE6tZM3fpvPW1WM6vM+C4cEUVjdxuKCGgn4oEAwL9WJagj+XjAmnsLpJntuFNjkdiGaJUhfkpqkxPDC/802Ri7OXmYkB7MquILO0vt+r62cDsxODWH2kRO6AfLA1i/hATy4cFYa3u2ZAL94HKjq1stddvO7goVXx8Y3jmR9t/zuumRTN5gdnMTHWj39eMFzuOkseCR0RY9MZlGb0/v7tIZ78MZVr3k/hnmX7sFjaFqWBXlq5wNwVhwqqqDeaeGhhYqextX1NmLdbl5FmRTbf12tVdl1ulVLB3xckAnDz1BiW3zGZ22bEcaK0zkFCW1YnbuJnJ7YVQNqPYEijAp/uyGGFteiQklnBhFhfLh0XQVF1k536Q6Ki3ogg0K8JNdJ1N6+ikVs+2U1uRQOJwXpW3TMdN42SrQ+dIxecSmrE62i0n4fc+b90XAQPn5vIpWPbilIH8qp4ftUxSuua7cZuJKTYVWc+HQMJb3cNP/1lKnfPTiDS173bqpnOkAoE3TWI7oxgg/TaNfDLoWKALpUzEpe8tZ27v9xPTVOLrEKYGu9PgDV9YLC1cPTTAVG2+951Y50fqJeolIpO1XseWhV/OSehU4PY7iCNMKgUAlF+HqekICiubmL1kRK2nCiTE5HWHyuVZ/C/31fI2qMnWZVawt1f7u/yeF/uzO3WKJRUnJFmoydYiyqeWhXZ5Q3kVzbg7a4m0EvHslsmsmBYMDuzKnh0+WGufDelX9JZ2p9f4wM8GRrq1WFhRDLMXX+sVD5nAry9MZOyumYWvrKZaf9Zz4znN3T4O19ac5x9ueKISF96Sbg4+7FtCEjns+qGFrsY39mJgezNqXQoor6/JcvOG8at3RiY7Riyu0bZqzjPAVMgUJubMSkdNz9SXMx9Xx/g3c2ZeLmp+nVOOD5Q3+miUKrsbssow2gyE+7Tt1JDnVrJpzdN4I5Z8QCkZLZJOqU303WToiiuaZIlhBeNDus0d9fF2c2swYG0mMSZ6EBXgYDHFg3B31PDysPi4jK7vIHRkd6nvChzcWaQzuc6tbix2/zgrC6LFc9elCTP50obf2kherykjlWposN9ojWBI1Cv7TIh4M0NGcx4fj1/enM70LYhPF3YFghqm1r48UChnPLSYjJjNlvsMuTLncThXjAqjE9uHM+9cwcxKtKH8TE+WCzi5rfFZCa9pJbVR0rkcb2XLh/J9ZOjUSoEvtqdJ8/lAnZpOncu3cu9y/aTWVbPuGhf5g4JYnyML49/f5g1R+zTBCrqjfi4a/pVIaZQCHIMa2phDQVVjcwfFmy3GX7+kmQuGhXGwYJqyuqaifJ350Jrd/3GKTGolQr+c3Eyr105ikfOTeSda8Zw+B/z2f/EPJ48b5jD79SoFGx6YBZvXNVxA2GgkBRu4N65g9j04Kw+cWmXYmg/vXFC13fughCr+mfFoTaly6trjtPUYsJktpBdVk/0QyvYYmNcV1lvZFtGmfz5yC1v4FB+DTq1go9uGCefQ66aECl7RYwIN/RJFPCZoG28x0RcgCf5lY29miGGtmKJhO3H8snzxBHW26wpAp0pRdallRD90Aoe+u4QV7yzw+H7pbXN/P2bg2SXSR4Q4piF5AMxPsaX3dYY5bK6ZvblVsmFPj9PLS9fPtLueL+lFvfkaXaJxWLhKavngUSQl47EYC+7hIWM0ja/mmPFtfJst16rsmvEvbc5y+5Y1R0YbtuazL269rjTNAcXf0xyrNfbaD93Vh4u5rfUYpKf/o2PtmbjpVPx/Z1TWJgUQnm90c7AeOXhItYdO8ltM+MIso7ct28eRtt4hl0wKoyjRbXdMjy0ZcDsKtUWI2alo4JgdKQPX+0WuxQms6VP5HKngmQGKFUC+1pBIBHl645GpSCjtI7/rExjd06lrCBYmBTCx9tzeGdTJiEG8QTn4vfLmCgf9FoVtc2tBPVgvOb3ikqpYHKcP1szymkwtlJa2zygZ4JddB+dWklEN15LP08tt8+MIyWrgvzKBoK8tJjNcOuMWG6cEsOiVzezeESorDQI8tKxI7Ocy97ezh2z4sksrWPGoAB5pGtXdgX/bhe9Fhdweq81g4P1LNudx8zn1yMIAlll9QR76TBbLJysbWZagj+x/h7odSoeXzy0Q6M8Kc8e2sblrnwvhaEhXtQ0tchFBi+dCi+dmqfOH8aQED2PLD/MQ98d5PObJ/LGhhNsOFZKhK8bz144gqU7c1hudRwfH+OLQiHw3nVjufLdHTz03UF2DZmDIAisSi3m85Tc03KdXnbLJOqbWxn1z9UAjIt2HEsJ9XaTI1EXDAsmxt+DecOC7Arqi0d0f/66N35DvxeSI5yPXvYUaTzINqd72e48lu3OY86QIBYMF40AP9uRw9QEfywWC1e8u4M0G4VLTnkDB/OrGBLiZacK1amVXDgqjJfXHB/QRpJdIX1+pPjGl9bAthNlLLQx3t6VXcHXu/N47qIRnarmvt9fwIhwA6mFNZjMFv48PZZfDxXz8Y3jifH3oKLeyP/WnQCgs97bJ9tz5H87U3z8cqhIfh3fvGo0oyJFFZhtgcrfUyuP6qQW1tipcXRqJavumc6B/CpeW3eCdzZn2j3fUyW/slH2HJEI8tIRG+DBN3vyZe+R2S9uBCDr2XNJK67hotFhDA8zMDXenwhfdy4bF8GU59bx1sYMQDyvrEwtJrWoWp4ht6Wi3sjsxEA2Hy8jv7KRa95PYfvDPRvnO1MczK+ixWTpUtHnondISpwbpsTw5I+p3PKpWKirN5pYMCyYkRHe8rjcmqMl1De3cpm1ODcywpubpsSwI7OckppmrpoQZXds289dUpiBpSm55Fc22l3Dnvu187jZAVMg0Fiasagcu6OXjo0gKdzAole3EO3nzqtXjDoDj64Nd40Kg5tanueI6KcCgUIhEOHjxuojJXZjBiEGnd1C6NKxEa5Z/t85aqWCOUODWL6vwJXZa2XGIDEiT9q0dGdT6eL3haTeyiitI8bfA6PJTICnliAvHSmPzLE7LwbqtbIBok6dxUbr5uT+eYPwclPzxA+pDsd35lXRn1w1MZKPtmXbne9Laptkj4DNx8vQKBWEebtx6diIDo5ij7+nlvhAT06crHOYY/T3bCs2XjYukvpmE0//fISlKbn8Z6UY8Rgf4MnUBH/K6pplObhkluSlU3PF+EgeXX6YvApx4XGrdYFzOq5IGpUCjUrDu9eOxWyxOJV+S5uRK8ZHyMUgl9ruzCLFlO7NrZIL3xJrjpaw5qioSKk3tvJbajFqlUIuDgwO0nOspJY7l+4F4O7ZCQ7HlzpnrebTE+XXH8weEsRnN01gUpwfZosFvVbF7Z/vZVSkN/fPG8xfv9gne33cMCWmQ6XE6+tPkFpYw1PnDUWjVLA7p5KrxkfJpr0Ad8yMlwsEuRUNzHtpIw+fO8Qh0aa9TYTFYrFT80pO6+4aJct258nqLV076fOkWD/eunoMH2zJckgaGxysZ3CwnuLqJv67Op265tZuedx0h1JrWsOH149jf14Vr6w9Tqi3jlh/8byQVVZv5z/2/f4CappaGRPlw0Wj20aR/D21XD4ugo+35zAywpv/u3A4K1OL2XqizGmBoLLByLBQLyJ83cgoraeouonqxpZTGpU+HRRXN3H+a1sByH5uEd/uyWdKvL9c4HNx6uSUN+CmVnLVhEjK6prlzyGIpvkg+pDNGBTAO5sy5e9H+bnz4fXjMLireemykRzMq3I6Svb1bZPw1KrkIvm/V6Xx+KKhbDpeyvSEAD7YkuXwM7YMmCulFqPTAoFCITAs1MD3d04hMVg/IDZIIQadfMGydUfua6L8PFiXJlY8pyX4s/l4GWqlwm7he/3k6H77/S4GDtdOimL5voJ+U6ycbSxMCuapn1J59hexAuoqEPzxiPZzx8ddzd+/PQQcAto2ve2LpoH6tmvLRpvO5Qu/pcv/vmFKNB9uzQZgw/0z++dBd4JWpWTjAzOJefgXQByluWlqDMOfXEW9UZTrZpfX91jZ8NxFSfxzxVEUApwzOJD8ykaW7c6TO3wSF48N5+mfj/DI8kPybUetxkm2s+e2ozzSyN3tn++x26C3jyHtT+Z2Ygi3cHgwqf+Y3+tcehd9j4dWhV6noraplbhAT965dgzj/2+tw/02Hy9js3XMQK9VseuxOejUSqIfWiHf50+jHZMGJBPr5pazt0AAyJ8nJQJXTojk7U2Z7Mut4qr3Uuzut/CVzfxy1zQ7E02JZbvymBTrx9UTo1g0IpTVR0ocVDBuGiUHnpzHt3vyefrnI6SX1LHxWKldgaDVZGZvjv0Mc2F1k50Z6KGCamYODiDU242lKbmkFYmdzvaRj4IgsGB4sKwUcYZU8DhuTSnpLWV1zfhafYkkY1Z/Ty33zh3EbTPicNMoibNGU36/r9CuQHDvsgP4e2rljZot984dRJiPG38aHY6fp5b5w4J4Y0MGF40Otzs/WywWKuqN+Hpo+OiG8fx0sJD/rDzG9owyFgzvnTqivllUTfYkcag3SIU6gJ1ZFdz39QGunhjJvy7oeay7C+fklDcQ5eeOSqngvnmD8dKp0WmUuKuVdski/7pgONP+sx4Qr+eXjYuQi3Nh3m52n0NbpGayxWJh1uAAVhwsYuuJMqoaWlg4PLjLIuqZGdq1WCBjPRjbOiVaixFUHW9+RkZ4D4jiAIiyRRCjqfqzyyTJpt3USv57qTifdZ21IPDjX6aw7JaJ+PSjU7SLgcOoSB/W/G0GN9g4b/+Rcdeo+NPocDmCrbdxVi7OXlRKhUNsj21X3JZxMb6MCDfIvgVRfu6k/XOB/P2nlwzjkXPFrtqt02P7ffHVEbYduXAfNwRB4P3rx8m3ZZTW27mBd4ex0b78cOcUlt8xhb/OTuD6KdHMTgzk0UVD7O7npVNzyZhwAvVa1lsLJHfOEuMRo/088PPQyCaIEoOD9HholKQW1vD2xkz5dskf4EwjCIKrODAAkeZlBwV52hXvOmLRiBB5/Xf37AT+ek48390x2enIx4gIb2L9PXiw3Xv1bOaeOYO4wia+d1K7FIWr30+Ru4QSTS0m8iobGB/ji0qpIECvdRpLCmJawnWTo/n17mkMDfGyM0U0my1c8/5OO6UHQIZNEbDRaCK9pJYRYQbGWDf0xVbPl96s2wdb/V/aG6d2xcb0Um7+eBe/HCpixFOrGPuvNSQ9tYp//XxENhn014trZmntHuPvwbBQLz7YmsXxkrbfNyjIk9evHOU04tPbXcMt0+Pws15vnjhvGBYLbDxWane/xhYTza1mfDw0RPi6c9PUGLQqBbuye24YB7Dh2Elmv7iRmS9s4LV1x3t1jO5SZeNBc9NHuwBYn1ba7cSRvsBstnDFOzsY+6/Vdq/N2YzZbJHXrTnl9XbjsX+eHss1E6P4U7uIVdsG2MzBgT324RMEgT9PiwXazId/PVzcZVznmSkQpK+ETy+AjxdDQwUtxmZUghnUZ4d0RfIh6E+XZmibQxsa6kWAXsvRpxdw45RoQJwtndCLLFYXZy/xgZ5yhrwLuHqiuNiR0gtc/PF4fNFQ3rp6tPy1tPhrz8gIb378y1TZk2DBsGB0aiUvXZYMiJJetVJB2j8XOGyCzxTSCMXEWD9esTHwOlXjtSEhXrx//TinMYTPXpTEtofOIcbfg+znFnHNpGhAVPLteXwut8+Ms7u/Sqlg2a2TeHpJm6nfcxcl8aFNUcOFi/aUW+XekiRbMi7c/8RcoE2ZInGhTXTjvXMHcd+8wYzuoLPsqVWx7v6ZnUalnm24aZQ8c2Fb5/YG6zpwWoI/Dy1MpKLeSE55PRaLhe/2iolfmaX1WCzdj7lUKgSGhHgR4+/BhmOlPPydqCRac7SE7ZnlXDspinX3zeCb2yYB2BURjhTVYLZAUrg35yWH8srlI/Gxmn33xjw43McNN7WSo07i3TrCYrFw3Qc7WXP0JHd8vpeaplbGx/hSbzSxdGcu6dYNpp+HfRFZpVTI51fJOPOZC5P47d4Z3V5jh3m7Ee3nztYT9vGMcuSrdX2iVSlJjvBmZw8j51pMZh7//jDXf7gLLzcVXjoVPx0o6vLnGoytXPnuDm7+eDcLX9ksJ1d0h6qGFnRqBReNCpOLQwVVjaSXnD512M+HitieWU5ZnVFOgjhbaW418cKqY1z81jaGP7mKZ385SlZZPQlB3ft8Lr9jMo+cm9jrEQ9n54ELRoY5uWcb/V9at1igtblt899YBaufFP9dsAc+OZ+TF3xNGKBQnx3y6YtGh/PZjtx+/z2XjA0nys9ddtM+3TOxLlwMZOID9ay8Z9ppN5NzMXAwuKtZMDyE6ydH89G2bHm+uSOmDwrgy115XGyt0F84Kpzzk8PkkYSBoFLz89BQXm+06xrYjhYl9qMze2cxwB0xPMzA8DAD1Q0t+Hpq7OSPLlw4QzLTlmT0X982ifSSWrzdNRx6ah4alYLmVjMpmRX8eqjIqQHlHw1BEFj65wkY3NQMDtLzwPzBXDUhUjYdPX6yDqVC4G9fHSDM240ZVgPAnhqGSileX+zMJSWrnPHRvmhUCh5fPBS1UkGMvwWNUsETP6Sy7UQ5fxoTLqcDJIUZ0KgULBkZRk1jC4//kCpHNvYEhUJgUpwfvxwu5t65g/hkew5XjI9Eq1bww/5CBgV6OmzeP92RY/f1rTNieXjhENYcKeHmT3bz0bZsAKdNlrgAT3w9NPy4X0x88PfsecNhYqwfvx4utvNmqKwXu7W2St/ZiYE8+2saP+wv4PzkULtz5Ydbs6isN5Jb0UCL2cIzFyZhcFOzM6tCfn4fXD+Ob/cU8PLadNlYsSPSS+rYliEmoakUAt/syeu24WBVYws+7hpevDQZd62SslojK1OLWZtWwtCe/Wl6zarUYgL0WsrqmsmtaOBAXhVVjS3MGOQYNfvXL/YRH+DJ3XMcfUnONAfyqrj10z2yqgbg7U2i4m5hN0dNRkX6nNK4TYCNwfn+J+ZSWtvc5dq5/wsEO9+BXx+Em9dB+BjyVr1CeFk6wrU/QMkRWPUwYW+JHRuF9uyYIx4d6cNrV46yy+LuD7QqJdMSBnbmsgsXZxJXgocLgCcWD+XP02O7VJIsHB7Mkafn2xnVDTST1y9umci6tJN2JlYJQXqi/dxJCNITNUD9Nv7qxDDOhQtnfHLjePbkVMojQeE+7rJiRtrwaFVK5g4N6tRj4o+GrQnendYobK1KiSCI8a6SoV9ZXTNLU3IJ93EjNqBn69SxUT4sTREbYJml9WSW1jMyoi1GWBAEjCZxnGFjeikrrXGEHhqlHLkGcM2kaGYODuy1P9A1k6K44cNdLHxlM0XVTby8Jl0uLEX6urPynml8uj2H2UOCeH39CZbvK+CcxED+ck48y/cWcK1V/TQ1wZ8hIV6dqhEEQWD+sCC+2JkH2G+muktSuIEvd+XJhq0gvg4Avh5t5/IrJ0Tyv3UnuPvL/YT7uBHp60FqYTU1Ta3846cjdsccHmrAbLHI8XTf3zmFcB93RkV6Y7HA/ryqTvcIUjT6D3dO4a2NGfKIQHcKuFUNopGiIAiy78Di/23m1bXH8dZY0Oxcj7HVzFPnD+21n0JXHMqvZly0Dwfzq1lztITX1osmfW9fM4b5w9o8LI4V18pxntsyysgqq+fNq8cMiPQFY6uZOz7fiyCIozzVjS3cPjOOA3lVKBUCw5x4h/QHgiAwNMQLLzcV3u6abqlu+79AsH+p+P/3ZnNywduk7dmAxi2CoNiZED2dw3llDD/yIgCJY87p94fTV/QkGsmFCxcuXPQfCoXQoVGPLYIgDHgX+0FBelk1JuGlU7PhgVln6BG5cNG3JEd491ls4h8dN42SCB930oprCLRu0FfcNQ0PrZJgL12P1TwXjgpj5uBAfNzFyL/MsnqSbUxKARYlhbAytZidj87mpwNF+HtqiPLzcPhdp2IePCMhAA+NkiJrpKLZIm6wWk1mcisaGPrEKgCeW5mGxQLDQr148ZJkfDw0duMnOrWSX+6aKpu/dsTTS4aTklVBZmk9IYaeq5lHhInv50MF1XKBQBprsO3U6nVqvr9zMnP+u4mtJ8p5Ou0oB/JE+XyQlxa1UkF+ZSMBeq1d9K6nViW/DmOifNAoFWw4VtppgSC/UvR5iwnwYFpCAL8eLia3ooEov66LRtWNRgf1xz+XDOf7fQV8vSuHhnrx2A9+c5A5Q4J6pT7rjDc2nCC3ooErJ0RSWd/C9kxRCeGmVvKPH1OZMShAVvxJoyEAO7MrsFjg6Z9S+f7OKby/JQu9TsVl45z7b9jy3d58nvoxlVX3TifE4EZTi4mN6aWckxjYq1GZuuZWbvpoFwVVjXx0wzjiAjx54ofD3Dw1RvavOJ2suGtqj+7fvyslUyuUn+Co93SCjbkYNj/FWEUNGxqTuRCwCALvmc+jXBnAJzdNQh86sstDunDhwoULFy5cuHDhAibH+fHdvgKCvHQoBDHhpbcbNkEQZH+S/142kmW7crminbnhq1eMosVkRqdWdmh8eKooFAIvXjqSb/fm8/JlI8ksrSfQS8uGYyetyTWiOXF+VSPvXjvWqezc9jmtuGtqp5s8tVLBL3dNI7Wwpldz3oOCPdEoFezKrpCTD44W1RBi0Dl0a+MD9VbLXbkAABYtSURBVPi4q/nvajFFZ/6wIC4cFcaEGD8EAYqqm/gttYSX1rSl7JhtOv8eWhWT4vxYe7SExxd3LPgvqGrES6fCS6cmOUIsLhzIr3ZaIKhuaMHLTSX/jqqGFofxFEnmPt69lIe2GhkUpGdPTiU7syucRjz2BmOrmS92tkXtTonzJ6u0nu2Z5XhqVbx19Riufj+FT7Znc/XEKNw1KtKKajC4qQkx6Lh9ZhxldUb++fMRUgtr+NeKowCMjPAhvaSWyXF+uFmNdW1Hl1pNZu7/+gBmC7y9MZOLRofxxvoMVqYWM3NwAB/dML7Hz+XLnbmkZFUQF+DB9IQAFAqBD3txnL6ip8XC/i0QnEwFYx1v1I2gjGl8ofk/tAIcNseQdLKOZ385ytq0k8wbOg7BVRxw4cKFCxcuXLhw4aLbLBkZxpe78vhoWzZalaLPurkjI7wdDCNBHMtSKvrfr8U2DjHJ2j2XlCcPL0zklumx1DS2yr4JnTEs1NDlfXRqZa9l6VqVUtxIWr0OvNzUfL+/kImxzv0zpGLFX2bFc8+cBLvXzNtdQ0KgJyaLhQgfNx745iCXjo2w+/kp8X5sTC+VYxSdUVDZSJh1dGdQkB6tSsHBvCrOT7ZXQFc1GBn59GrunBXHA/PFke+qxpYO/SM81AL7Hp+L0WRm1NOr+S21RC4QHMyv4m9fHWB0pDe3zohzOufe1GKiwWhy+rjf3ZzJ86vE4sDHN44nKdzAecmhLNudx8RYPybH+aFRKXjmlzQ+T8nlt3unc/xkHZPj/Hjz6jEApBZWA7D4f1vk485/eRMgxqBG+3uwM6uCrQ+dIysPD+RXyyMsy/cVyK8jwIZjpaw5UoJep2JctC+KbowlZpXV89r6EyQG6/n5r1O79TMDjX4qEFjglweoaNHgCxy0xJJjCWZ3wEWcLM7na9MM0n9KlTNuXVIzFy5cuHDhwoULFy56xsRYX/6+IJF/r0yjubXzbPOzncRgLzY9MIsIXzEGtjvFgdPFpWMj+O1Iid3mct7QYKf3ff2q0RzIq+Jma/xce1RKBX+bOwiA85JDHdQP0hhaekmt07g6k9nCoYJquUuuVioYFenNFztz2ZVTyYUjQ7neGpu9N1dMN3h9fQbXTYrG10NDdUMLBreO59RVSrEQNX1QAKtSi3nyvKE8svyQ7ONw4mQde3IqeWB+IqMiveVoU4DL3tnBgbwqMp85l4KqRh77/jCjI304XFjN6iMl8v2kWOKpCf6sv38m3m5qFAqBJcmhfL0nn5zyBi55aztZZfWcN6LNB2GwzYje3xcksnhECBe/tY2SmmZO1or/AUx5bp34eMZGYHBXIwji/Z/7tW20Y0yUD6mF1dz8yW4AbpkeyyPnDmHDsZM0GE2cm+Tcf+G5X49S1dDCg/MT+3z84nTRLwUCpakZdr6DL1BrcSPXEgjAPXXXkN/SyE1TY3h/SxYA988bxI2ubHcXLly4cOHChQsXLnqEIAjcPjMOD62yw27y7wlpxn+gMWdoELsfm8PWE2W8tzmL168cTYSvcz+DcdG+3U7ncJauIxUIjlsLBK0mMxX1RgKtG/GUzHJO1jazMKmtQPHipSO5/oOdHMir4kBeFRdYI6JTbGIXxz+zVv63TzeKLwuHB7P6SImdx8P1k6OJ8nPnHz8d4bbP9hDr78Ha+2YgCAL/W3tc9ly4e9l+2VxwY3qp/PMPLhjMxFg/u+dtawr/1PnDuHVGHPNe2sjBfFEtYNtoVikV3DU7AU+tklumi9G8G+6fhcliYfiTqxyew7LdYlEjKczA4hEhPPdrGklhBhaNCGFRUgh//mQ3acWin8Q7mzJJL6llwzHx8V4+LoI7ZsZTVt9s532RXlLHvKFB/TaCczroHwWBuUX+5xFLFLfPTODTHTnkVzaiVSl4bNEQRoQbyCit585Z8a5IJBcuXLhw4cKFCxcueonk3O/izOHvqWXJyDCWdJExf6qEGHTotSq+3VvAlHh/3t+Sxecpuex5bA5+nlre2ZyJwU3NnCFtKSBh3m4sv3MKP+wv4NHlh7nlkz2MjvLh7Y2ZDA/zYklyGIcLq/n/9u492sq6TOD49+FwEZEQNG4CoklcRMxLWKaJqI2kLjRdJbkam3S1qrGsaWZ0bLppNk6TOWtWky5HWVFjYZNUVpTDTJI1mqAYoaBEEMNhvIzhDSbFA8/8sd9zPBzPPhw45+x3b/x+1mKdvX/v+7w8+Hr2b+9n/y4/KLZ7PGvG7ncnOOfosXxt6e9Y99RWPnfONN795vEMHtBERPDk8y9x089/x/qnt7Hiv5+l+Zn/4/olaxn9uv144vkX24oDnz57Gtf86JUdHM6ZMbbLBS6HDOrPESMrW1M+vXU7N150LLOnjNzlnNbRF61at4n/+p+9mQFN/Xh660vszGTCiCF88BsPMHvKSP781CMYN3x/Fn3kRKaOfl1bzGWzj+Cybz3EXR9/O5/+/sNtxYFjJxzIwuWbWLi8UmD47ofeyvETR/BSyw42/mHXUQ2NqE8KBDtbXmZnBn/Tcinbh07ghjOn8MDGZ1i2YQsHDRlIRPT5L48kSZIk7UsignknTODme9Yz+/qft7V/4OvL6d/Ujwc3PsOVc6a8avTBAYP6c9EJh7Jf/yauXbyGZb/fwsyJI7j63CPbto3+wNsO4+UdO9u2Hu3KgKZ+3PHhE9n2UgtjO+wkdOWcKXzolMN509VLOP/Ge9vaf/jRk/jyXY/x7B+3c+15R3HwAYOYeND+3L9hCxue3tbt3S9u/tPjWbL6Sc6cPrrbXzTPmjzyVW3LPnX6Ltsdtx8JAJVd6+ZMH0NTv+CKOVM4/8Z7OfzgISz6yNv4j9VPsmrzc9zyi/V881cbOe7Q4Wx4ehs7E47osBtRo+mTAkG/nS/zOCO4fcepnDW+UkGZOnooyzZsaavISJIkSZL2zFXvnMqc6aM572uVD98jhgxkZTHkHmDezOrD288/bhxnHz2G5Rue4bhDh+/y2WxP14UbNngAwwZ3Ph3hwP0HMnhAE398eUfbkP3XDx3E318wY5fzTps6itPajXbojmMnDH/Vh/m90dSNBQRbzzl2woFcftqktrUHTp82itOnjeKFF1uY/18bWNX8HNu2twAwfezrepxbmfqmQJAvsylH8r63HMpls48AYM5RY1hw30b+59kX++KvlCRJkqTXhGMmDOer7z2GofsN4MQ3HMTdjz7Fdx9sZvLooVU/tLca1L+Jkyb1zvaEXfnqe49h1ebnuPy0SQ0/pTwi+ESH6QsAf3vWVMYeuB8Ll29i3PD9+eQZkzm8kx0cGkmfFAj6Zwt/HDKea86d3tb2lsMP4ovnHcXoYYP64q+UJEmSpNeMs2e8sm3hO44czTuO7HznhLLszeiARtOvX3DpyYdX3ZWiEfVNgYAWdgx79dCWRl7NUZIkSZKkfVm3NmeMiDMj4rGIWBcRV3YnZsDBbl0oSZIkSVKj2G2BICKagH8G5gDTgHkRMW13ccPGTup5dpIkSZIkqSa6M4JgJrAuM9dn5nZgITB3d0FjJk7taW6SJEmSJKlGurMGwSHApnbPm4ETOp4UER8EPggwdcxgVj+6jjVr1/dKkpKkxrd161aWLl1adhqSJGkv2I+/NvTaIoWZeTNwM8DkyZPz1Nmze+vSkqR9wNKlS5k1a1bZaUiSpL1gP/7a0J0pBpuB8e2ejyvaJEmSJEnSPqI7BYLlwKSIOCwiBgIXAnf2bVqSJEmSJKmWdjvFIDNbIuIy4C6gCZifmY/0eWaSJEmSJKlmurUGQWYuBhb3cS6SJEmSJKkk3ZliIEmSJEmS9nEWCCRJkiRJkgUCSZIkSZJkgUCSJEmSJGGBQJIkSZIkYYFAkiRJkiRhgUCSJEmSJGGBQJIkSZIkYYFAkiRJkiQBkZm9f9GIF4DHOjQPA57rwWWNLze+HnIw3vhGjq+HHMqOPxh4usS/33h/B4w33t8B443fe2X3471xDeMr8ZMzc2inZ2Rmr/8BHuik7eYeXtP4EuPrIQfjjW/k+HrIoQ7iX9U3NFj+xvcgvh5yMN74MuPrIQfjje9hfKn9eJ38N9gn4ru6l7WcYvBD4xs6vh5yMN74Ro6vhxzKju+psvM3vufKzsF448uMr4ccjDe+TP4ONUB8X00xeCAzj+/1C0uSGpZ9gyRJjct+fN/R1b3sqxEEN/fRdSVJjcu+QZKkxmU/vu+oei/7ZASBJEmSJElqLG5z2AciYn5EPBURD7drGxERSyLit8XP4WXmqK5VuYe3R8Sviz+/j4hfl5mjqouI8RFxd0SsjohHIuLyDsc/GREZEQeXlaO6FhFnRsRjEbEuIq4s2m4r2h4ufkcHlJ2nqqtyD2dHxIriHi6IiP5l56nOddYPFu0fjYhHi9fWL5WVn7pWrR+MiGsi4jfFe5l/j4ixZeeqzkXEfhGxLCJWFvfw80X7YRFxf/HaentEDCw7V3WuSj8YEXFtRKyNiDUR8bGy8+zIEQR9ICLeDmwFvpGZ04u2LwFbMvO64n+Q4Zl5RZl5qrrO7mGH49cDz2Xm1TVPTrsVEWOAMZm5IiKGAg8C52bm6ogYD9wCTAGOy8yebNejPhARTcBa4AygGVgOzAMmAj8pTvsWcE9m3lhGjupaF/fwLuC0zFwbEVcDGzPz1vIyVTVV3sucCnwKOCszX4qIkZn5VJl5qnPV+kGgOTOfL875GDAtMz9UYqqqIiICGJKZW4uC+C+By4G/ABZl5sKIuAlYaV9Yf7roB08ATgXen5k76/F11BEEfSAz7wG2dGieCywoHi+g8iKtOlXlHgJtL9jvBr5d06TUbZn5eGauKB6/AKwBDikO3wD8NWB1tH7NBNZl5vrM3A4sBOZm5uIsAMuAcaVmqa50dg/PB7Zn5trinCVFm+pQlX7ww8B1mflScU5dvanVK6r1g63FgcIQ7AvrVtHdbS2eDij+JDAb+G7R7meK+tXpexkqr6NXZ+ZOqM/XUQsEtTMqMx8vHj8BjCozGfXIycCTmfnbshPR7kXEROAY4P6ImAtszsyVpSal3TkE2NTueTOvFHgovkl5H/DTGuel7uvsHo4G+kdE66rJFwDja52YeuSNwMnF8OafR8Sby05Iu9e+HyyeXxsRm4CLgM+Ul5l2JyKaiimtT1Epqv4OeDYzW4pTdukfVVeqvZd5A/CeiHggIn4SEZNKya4LFghKUHz7ZcW2cc3D0QMNISIOAO4APg60AFfhm6F9wdeoTC/4RdmJaI8kcCFwQ0QsA14AdpSbkvZQf2AE8Bbgr4DvFKPqVKfa94Otowcy81OZOR64DbiszPzUtczckZlvojJibiaV6ZFqbIOAF4stBv8FmF9yPq9igaB2nizmg7XOC6u74STavWJBrXcBt5edi7pWfMt8B3BbZi6iUrE9DFgZEb+n0tmuiIjR5WWpKjaz6zfL44o2IuKzwOupzMFU/er0HmbmfZl5cmbOBO6hMj9TjaOZytznzMxlwE7AxV7rVCf9YEe34TSfhpCZzwJ3A28FDmy3wGtb/6i6U+29TDPQ+vv4PWBGjfPaLQsEtXMncHHx+GLgByXmor13OvBoZjaXnYiqK77RuhVYk5lfAcjMVZk5MjMnZuZEKi/Qx2bmEyWmqs4tByYVKzUPpPKt850RcSnwJ8C81rl7qlvV7uFIgIgYBFwB3FRijtpz36eyuBYR8UZgIOBCr3Wos36waG8/nHku8Gitc1P3RMTrI+LA4vFgKovdraFSKLigOM3PFPWr036Qdq+jwCnUYaHc7YX6QER8G5gFHBwRzcBngeuoDMW7BNhIZZE71anO7mGx0vaFOL2gEbyNyhz1VfHKdpRXZebiEnNSN2VmS0RcRmXF+yZgfmY+EhErqbx+3leMal7kTiL1qYt7+A8RcTaVLyhuzMyflZqoqqryXmY+ML/Y+nA7cHG6HVa96rQfBC6JiMlURn9sBNzBoH6NARYUq+H3A76TmT+KiNXAwoj4AvAQlUKQ6kwX/eB1wG0R8QkqO8VcWmaenXGbQ0mSJEmS5BQDSZIkSZJkgUCSJEmSJGGBQJIkSZIkYYFAkiRJkiRhgUCSJEmSJGGBQJIkSZIkYYFAkiRJkiRhgUCSJEmSJGGBQJIkSZIkYYFAkiRJkiRhgUCSJEmSJGGBQJIkSZIkYYFAkiRJkiRhgUCSJEmSJGGBQJIkSZIkYYFAkiRJkiRhgUCS1AsiIiPiX9s97x8R/xsRPyozL0mStGci4tyiX59Sdi6qPQsEkqTesA2YHhGDi+dnAJv35AIR0b/Xs5IkSXtqHvDL4me3RURT36SjWrJAIEnqLYuBs4rH84Bvtx6IiJkRcV9EPBQR90bE5KL9/RFxZ0T8DPjP2qcsSZJaRcQBwEnAJcCFRdusiLgnIn4cEY9FxE0R0a84tjUiro+IlcBby8tcvcUCgSSptywELoyI/YAZwP3tjj0KnJyZxwCfAb7Y7tixwAWZeUrNMpUkSZ2ZC/w0M9cCf4iI44r2mcBHgWnAG4B3Fe1DgPsz8+jM/GXNs1Wvs0AgSeoVmfkbYCKV0QOLOxweBvxbRDwM3AAc2e7YkszcUpMkJUlSV+ZRKfhT/GydZrAsM9dn5g4qIwRPKtp3AHfUNkX1Jed7SpJ6053Al4FZwEHt2q8B7s7M8yJiIrC03bFtNcpNkiRVEREjgNnAURGRQBOQwI+Ln+21Pn+xKBpoH+EIAklSb5oPfD4zV3VoH8Yrixa+v6YZSZKk7rgA+GZmHpqZEzNzPLABOBmYGRGHFWsPvIfKIobaB1kgkCT1msxszsx/6uTQl4C/i4iHcPSaJEn1aB7wvQ5tdxTty4GvAmuoFA06nqd9RGR2HC0iSZIkSVJlFwPgLzPz7LJzUd9zBIEkSZIkSXIEgSRJkiRJcgSBJGkvRcT4iLg7IlZHxCMRcXnRPiIilkTEb4ufw4v2iyLiNxGxKiLujYij213rzIh4LCLWRcSVZf2bJEmSXsscQSBJ2isRMQYYk5krImIo8CBwLpVdCrZk5nXFh/3hmXlFRJwIrMnMZyJiDvC5zDwhIpqAtcAZQDOVhZDmZebqMv5dkiRJr1WOIJAk7ZXMfDwzVxSPX6CysvEhwFxgQXHaAipFAzLz3sx8pmj/FTCueDwTWJeZ6zNzO7CwuIYkSZJqyAKBJKnHImIicAxwPzAqMx8vDj0BjOok5BLgJ8XjQ4BN7Y41F22SJEmqIfeiliT1SEQcQGWf5I9n5vMR0XYsMzMissP5p1IpEJxU00QlSZLUJUcQSJL2WkQMoFIcuC0zFxXNTxbrE7SuU/BUu/NnALcAczPzD0XzZmB8u8uOK9okSZJUQxYIJEl7JSpDBW6lsvDgV9oduhO4uHh8MfCD4vwJwCLgfZm5tt35y4FJEXFYRAwELiyuIUmSpBpyFwNJ0l6JiJOAXwCrgJ1F81VU1iH4DjAB2Ai8OzO3RMQtwPlFG0BLZh5fXOudwD8CTcD8zLy2Zv8QSZIkARYIJEmSJEkSTjGQJEmSJElYIJAkSZIkSVggkCRJkiRJWCCQJEmSJElYIJAkSZIkSVggkCRJkiRJWCCQJEmSJElYIJAkSZIkScD/AxDg1guiFiCeAAAAAElFTkSuQmCC\n"}, "metadata": {"needs_background": "light"}}]}, {"metadata": {"trusted": true, "scrolled": false}, "cell_type": "code", "source": "pd.DataFrame(stragey_2d.account).T.apply(lambda x:round(x,3))", "execution_count": 228, "outputs": [{"output_type": "execute_result", "execution_count": 228, "data": {"text/plain": "      realised_profit  margin  unrealised_profit      total  leverage  \\\nUSDT         2341.718  82.776             -4.166  12332.258     0.108   \nETC           176.759   2.964             -0.720        NaN       NaN   \nXLM           -66.953   1.500              0.000        NaN       NaN   \nXMR             1.846   3.000              0.000        NaN       NaN   \nQTUM          183.606   4.479              0.429        NaN       NaN   \nATOM           45.535   1.472              1.080        NaN       NaN   \nBAT            70.323  -0.000              0.000        NaN       NaN   \nVET           334.754   5.881              2.372        NaN       NaN   \nTRX           139.098   4.443              1.136        NaN       NaN   \nADA            49.083   4.479              0.423        NaN       NaN   \nONT           194.932   1.500             -0.000        NaN       NaN   \nETH           -66.459   2.964             -0.724        NaN       NaN   \nLTC            71.310   1.500              0.000        NaN       NaN   \nBCH             8.745  18.806            -13.890        NaN       NaN   \nNEO           235.541   1.460              0.804        NaN       NaN   \nIOST          340.620   5.942              1.160        NaN       NaN   \nXRP            88.418   3.000              0.000        NaN       NaN   \nEOS           205.702   1.469             -0.624        NaN       NaN   \nIOTA          156.997   0.000              0.000        NaN       NaN   \nBNB           101.521   4.500             -0.000        NaN       NaN   \nLINK          188.646   6.000              0.000        NaN       NaN   \nDASH          304.442   1.500             -0.000        NaN       NaN   \nZEC           230.375   0.000              0.000        NaN       NaN   \nXTZ           481.436   5.918             -1.639        NaN       NaN   \n\n           fee     amount  hold_price    value    price  \nUSDT  1134.452        NaN         NaN      NaN      NaN  \nETC     54.890    -10.490       5.651   60.000    5.720  \nXLM     40.644    596.066       0.050   30.000    0.050  \nXMR     53.261      1.034      58.020   60.000   58.020  \nQTUM    35.068     63.380       1.413   90.000    1.420  \nATOM    60.876     12.616       2.333   30.517    2.419  \nBAT     50.697      0.000       0.170    0.000    0.170  \nVET     53.755  30534.351       0.004  120.000    0.004  \nTRX     43.535   6564.551       0.014   90.000    0.014  \nADA     38.727   2452.984       0.037   90.000    0.037  \nONT     41.289    -68.886       0.436   30.000    0.436  \nETH     37.341     -0.347     170.726   60.000  172.810  \nLTC     39.389      0.643      46.680   30.000   46.680  \nBCH     47.110     -1.414     265.987  390.000  275.810  \nNEO     36.081      3.766       7.751   30.000    7.965  \nIOST    43.056  34443.169       0.003  120.000    0.003  \nXRP     39.832    299.551       0.200   60.000    0.200  \nEOS     42.125    -10.945       2.684   30.000    2.741  \nIOTA    50.647      0.000       0.166    0.000    0.170  \nBNB     47.154     -5.867      15.339   90.000   15.339  \nLINK    79.517     42.283       2.838  120.000    2.838  \nDASH    53.829     -0.402      74.660   30.000   74.660  \nZEC     52.561      0.000      37.220    0.000   38.010  \nXTZ     93.068    -58.480       2.024  120.000    2.052  ", "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>realised_profit</th>\n      <th>margin</th>\n      <th>unrealised_profit</th>\n      <th>total</th>\n      <th>leverage</th>\n      <th>fee</th>\n      <th>amount</th>\n      <th>hold_price</th>\n      <th>value</th>\n      <th>price</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <td>USDT</td>\n      <td>2341.718</td>\n      <td>82.776</td>\n      <td>-4.166</td>\n      <td>12332.258</td>\n      <td>0.108</td>\n      <td>1134.452</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <td>ETC</td>\n      <td>176.759</td>\n      <td>2.964</td>\n      <td>-0.720</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>54.890</td>\n      <td>-10.490</td>\n      <td>5.651</td>\n      <td>60.000</td>\n      <td>5.720</td>\n    </tr>\n    <tr>\n      <td>XLM</td>\n      <td>-66.953</td>\n      <td>1.500</td>\n      <td>0.000</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>40.644</td>\n      <td>596.066</td>\n      <td>0.050</td>\n      <td>30.000</td>\n      <td>0.050</td>\n    </tr>\n    <tr>\n      <td>XMR</td>\n      <td>1.846</td>\n      <td>3.000</td>\n      <td>0.000</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>53.261</td>\n      <td>1.034</td>\n      <td>58.020</td>\n      <td>60.000</td>\n      <td>58.020</td>\n    </tr>\n    <tr>\n      <td>QTUM</td>\n      <td>183.606</td>\n      <td>4.479</td>\n      <td>0.429</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>35.068</td>\n      <td>63.380</td>\n      <td>1.413</td>\n      <td>90.000</td>\n      <td>1.420</td>\n    </tr>\n    <tr>\n      <td>ATOM</td>\n      <td>45.535</td>\n      <td>1.472</td>\n      <td>1.080</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>60.876</td>\n      <td>12.616</td>\n      <td>2.333</td>\n      <td>30.517</td>\n      <td>2.419</td>\n    </tr>\n    <tr>\n      <td>BAT</td>\n      <td>70.323</td>\n      <td>-0.000</td>\n      <td>0.000</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>50.697</td>\n      <td>0.000</td>\n      <td>0.170</td>\n      <td>0.000</td>\n      <td>0.170</td>\n    </tr>\n    <tr>\n      <td>VET</td>\n      <td>334.754</td>\n      <td>5.881</td>\n      <td>2.372</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>53.755</td>\n      <td>30534.351</td>\n      <td>0.004</td>\n      <td>120.000</td>\n      <td>0.004</td>\n    </tr>\n    <tr>\n      <td>TRX</td>\n      <td>139.098</td>\n      <td>4.443</td>\n      <td>1.136</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>43.535</td>\n      <td>6564.551</td>\n      <td>0.014</td>\n      <td>90.000</td>\n      <td>0.014</td>\n    </tr>\n    <tr>\n      <td>ADA</td>\n      <td>49.083</td>\n      <td>4.479</td>\n      <td>0.423</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>38.727</td>\n      <td>2452.984</td>\n      <td>0.037</td>\n      <td>90.000</td>\n      <td>0.037</td>\n    </tr>\n    <tr>\n      <td>ONT</td>\n      <td>194.932</td>\n      <td>1.500</td>\n      <td>-0.000</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>41.289</td>\n      <td>-68.886</td>\n      <td>0.436</td>\n      <td>30.000</td>\n      <td>0.436</td>\n    </tr>\n    <tr>\n      <td>ETH</td>\n      <td>-66.459</td>\n      <td>2.964</td>\n      <td>-0.724</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>37.341</td>\n      <td>-0.347</td>\n      <td>170.726</td>\n      <td>60.000</td>\n      <td>172.810</td>\n    </tr>\n    <tr>\n      <td>LTC</td>\n      <td>71.310</td>\n      <td>1.500</td>\n      <td>0.000</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>39.389</td>\n      <td>0.643</td>\n      <td>46.680</td>\n      <td>30.000</td>\n      <td>46.680</td>\n    </tr>\n    <tr>\n      <td>BCH</td>\n      <td>8.745</td>\n      <td>18.806</td>\n      <td>-13.890</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>47.110</td>\n      <td>-1.414</td>\n      <td>265.987</td>\n      <td>390.000</td>\n      <td>275.810</td>\n    </tr>\n    <tr>\n      <td>NEO</td>\n      <td>235.541</td>\n      <td>1.460</td>\n      <td>0.804</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>36.081</td>\n      <td>3.766</td>\n      <td>7.751</td>\n      <td>30.000</td>\n      <td>7.965</td>\n    </tr>\n    <tr>\n      <td>IOST</td>\n      <td>340.620</td>\n      <td>5.942</td>\n      <td>1.160</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>43.056</td>\n      <td>34443.169</td>\n      <td>0.003</td>\n      <td>120.000</td>\n      <td>0.003</td>\n    </tr>\n    <tr>\n      <td>XRP</td>\n      <td>88.418</td>\n      <td>3.000</td>\n      <td>0.000</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>39.832</td>\n      <td>299.551</td>\n      <td>0.200</td>\n      <td>60.000</td>\n      <td>0.200</td>\n    </tr>\n    <tr>\n      <td>EOS</td>\n      <td>205.702</td>\n      <td>1.469</td>\n      <td>-0.624</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>42.125</td>\n      <td>-10.945</td>\n      <td>2.684</td>\n      <td>30.000</td>\n      <td>2.741</td>\n    </tr>\n    <tr>\n      <td>IOTA</td>\n      <td>156.997</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>50.647</td>\n      <td>0.000</td>\n      <td>0.166</td>\n      <td>0.000</td>\n      <td>0.170</td>\n    </tr>\n    <tr>\n      <td>BNB</td>\n      <td>101.521</td>\n      <td>4.500</td>\n      <td>-0.000</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>47.154</td>\n      <td>-5.867</td>\n      <td>15.339</td>\n      <td>90.000</td>\n      <td>15.339</td>\n    </tr>\n    <tr>\n      <td>LINK</td>\n      <td>188.646</td>\n      <td>6.000</td>\n      <td>0.000</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>79.517</td>\n      <td>42.283</td>\n      <td>2.838</td>\n      <td>120.000</td>\n      <td>2.838</td>\n    </tr>\n    <tr>\n      <td>DASH</td>\n      <td>304.442</td>\n      <td>1.500</td>\n      <td>-0.000</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>53.829</td>\n      <td>-0.402</td>\n      <td>74.660</td>\n      <td>30.000</td>\n      <td>74.660</td>\n    </tr>\n    <tr>\n      <td>ZEC</td>\n      <td>230.375</td>\n      <td>0.000</td>\n      <td>0.000</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>52.561</td>\n      <td>0.000</td>\n      <td>37.220</td>\n      <td>0.000</td>\n      <td>38.010</td>\n    </tr>\n    <tr>\n      <td>XTZ</td>\n      <td>481.436</td>\n      <td>5.918</td>\n      <td>-1.639</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>93.068</td>\n      <td>-58.480</td>\n      <td>2.024</td>\n      <td>120.000</td>\n      <td>2.052</td>\n    </tr>\n  </tbody>\n</table>\n</div>"}, "metadata": {}}]}, {"metadata": {}, "cell_type": "markdown", "source": "\u6709\u7b5b\u9009\u5e01\u7684\u60c5\u51b5\u4f1a\u600e\u6837\uff0c\u8fd8\u662f\u540c\u6837\u7684\u53c2\u6570\uff0c\u524d\u671f\u7684\u6536\u76ca\u8868\u73b0\u66f4\u597d\uff0c\u56de\u64a4\u66f4\u5c0f\uff0c\u4f46\u6536\u76ca\u7a0d\u4f4e\u3002\u56e0\u6b64\u8fd8\u662f\u63a8\u8350\u7b5b\u9009\u7684\u3002"}, {"metadata": {"trusted": true}, "cell_type": "code", "source": "#price_usdt_btc_norm2 = price_usdt_btc/price_usdt_btc.rolling(50).mean()\nprice_usdt_btc_norm2 = price_usdt_btc/price_usdt_btc.ewm(alpha=0.05).mean()\ntrade_symbols = list(set(symbols)-set(['LINK','XTZ','BCH', 'ETH']))#\u5269\u4f59\u7684\u5e01\u79cd\nprice_usdt_btc_norm_mean = price_usdt_btc_norm2[trade_symbols].mean(axis=1)\ne = Exchange(trade_symbols,initial_balance=10000,commission=0.0005,log=False)\ntrade_value = 300\nfor row in price_usdt.iloc[:].iterrows():\n    e.Update(row[0], row[1])\n    empty_value = 0\n    for symbol in trade_symbols:\n        price = row[1][symbol]\n        if np.isnan(price):\n            continue\n        diff = price_usdt_btc_norm2.loc[row[0],symbol] - price_usdt_btc_norm_mean[row[0]]\n        aim_value = -trade_value*round(diff/0.01,1)\n        now_value = e.account[symbol]['value']*np.sign(e.account[symbol]['amount'])\n        empty_value += now_value\n        if aim_value - now_value > 20:\n            e.Buy(symbol, price, round((aim_value - now_value)/price, 6),round(e.account[symbol]['realised_profit']+e.account[symbol]['unrealised_profit'],2))\n        if aim_value - now_value < -20:\n            e.Sell(symbol, price, -round((aim_value - now_value)/price, 6),round(e.account[symbol]['realised_profit']+e.account[symbol]['unrealised_profit'],2))\nstragey_2e = e", "execution_count": 199, "outputs": []}, {"metadata": {"trusted": true}, "cell_type": "code", "source": "#(stragey_2d.df['total']/stragey_2d.initial_balance).plot(figsize=(17,6),grid = True);\n(stragey_2e.df['total']/stragey_2e.initial_balance).plot(figsize=(17,6),grid = True);", "execution_count": 200, "outputs": [{"output_type": "display_data", "data": {"text/plain": "<Figure size 1224x432 with 1 Axes>", "image/png": 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\n"}, "metadata": {"needs_background": "light"}}]}, {"metadata": {"trusted": true}, "cell_type": "code", "source": "stragey_2e.df['leverage'].plot(figsize=(18,6),grid = True);", "execution_count": 192, "outputs": [{"output_type": "display_data", "data": {"text/plain": "<Figure size 1296x432 with 1 Axes>", "image/png": 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\n"}, "metadata": {"needs_background": "light"}}]}, {"metadata": {"trusted": true}, "cell_type": "code", "source": "pd.DataFrame(stragey_2e.account).T.apply(lambda x:round(x,3))", "execution_count": 193, "outputs": [{"output_type": "execute_result", "execution_count": 193, "data": {"text/plain": "      realised_profit   margin  unrealised_profit      total  leverage  \\\nUSDT         7635.210  188.662              0.455  17624.159     0.228   \nETC           485.916    4.500             -0.000        NaN       NaN   \nXLM          -359.482    1.474             -0.513        NaN       NaN   \nXMR           457.349   22.260              4.794        NaN       NaN   \nDASH          244.654    2.887              2.265        NaN       NaN   \nQTUM         1277.073    7.500              0.000        NaN       NaN   \nATOM          -30.950    1.483             -0.336        NaN       NaN   \nLTC           -31.417    8.817             -3.651        NaN       NaN   \nBAT           477.158   27.264            -24.723        NaN       NaN   \nNEO           -60.144    2.938              1.243        NaN       NaN   \nIOST         1529.663   29.673              6.540        NaN       NaN   \nXRP           317.382    7.356              2.888        NaN       NaN   \nVET           931.412   18.113              2.251        NaN       NaN   \nEOS           409.221    1.500             -0.000        NaN       NaN   \nIOTA          953.180    2.898              2.034        NaN       NaN   \nBNB           829.692   12.000             -0.000        NaN       NaN   \nTRX           258.911   19.124              7.516        NaN       NaN   \nADA           -37.350    8.642             -7.167        NaN       NaN   \nONT          1000.420    1.500             -0.000        NaN       NaN   \nZEC           628.931    8.733             -5.339        NaN       NaN   \n\n          amount  hold_price  value   price  \nUSDT         NaN         NaN    NaN     NaN  \nETC      -15.734       5.720   90.0   5.720  \nXLM     -596.066       0.049   30.0   0.050  \nXMR        7.756      57.402  450.0  58.020  \nDASH       0.804      71.841   60.0  74.660  \nQTUM     105.634       1.420  150.0   1.420  \nATOM     -12.402       2.392   30.0   2.419  \nLTC       -3.856      45.733  180.0  46.680  \nBAT    -3349.001       0.163  570.0   0.170  \nNEO        7.533       7.800   60.0   7.965  \nIOST  172215.844       0.003  600.0   0.003  \nXRP      748.877       0.196  150.0   0.200  \nVET   -91603.053       0.004  360.0   0.004  \nEOS      -10.945       2.741   30.0   2.741  \nIOTA     352.941       0.164   60.0   0.170  \nBNB      -15.646      15.339  240.0  15.339  \nTRX    28446.389       0.013  390.0   0.014  \nADA    -4905.969       0.035  180.0   0.037  \nONT      -68.886       0.436   30.0   0.436  \nZEC       -4.736      36.883  180.0  38.010  ", "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>realised_profit</th>\n      <th>margin</th>\n      <th>unrealised_profit</th>\n      <th>total</th>\n      <th>leverage</th>\n      <th>amount</th>\n      <th>hold_price</th>\n      <th>value</th>\n      <th>price</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <td>USDT</td>\n      <td>7635.210</td>\n      <td>188.662</td>\n      <td>0.455</td>\n      <td>17624.159</td>\n      <td>0.228</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <td>ETC</td>\n      <td>485.916</td>\n      <td>4.500</td>\n      <td>-0.000</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-15.734</td>\n      <td>5.720</td>\n      <td>90.0</td>\n      <td>5.720</td>\n    </tr>\n    <tr>\n      <td>XLM</td>\n      <td>-359.482</td>\n      <td>1.474</td>\n      <td>-0.513</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-596.066</td>\n      <td>0.049</td>\n      <td>30.0</td>\n      <td>0.050</td>\n    </tr>\n    <tr>\n      <td>XMR</td>\n      <td>457.349</td>\n      <td>22.260</td>\n      <td>4.794</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>7.756</td>\n      <td>57.402</td>\n      <td>450.0</td>\n      <td>58.020</td>\n    </tr>\n    <tr>\n      <td>DASH</td>\n      <td>244.654</td>\n      <td>2.887</td>\n      <td>2.265</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.804</td>\n      <td>71.841</td>\n      <td>60.0</td>\n      <td>74.660</td>\n    </tr>\n    <tr>\n      <td>QTUM</td>\n      <td>1277.073</td>\n      <td>7.500</td>\n      <td>0.000</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>105.634</td>\n      <td>1.420</td>\n      <td>150.0</td>\n      <td>1.420</td>\n    </tr>\n    <tr>\n      <td>ATOM</td>\n      <td>-30.950</td>\n      <td>1.483</td>\n      <td>-0.336</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-12.402</td>\n      <td>2.392</td>\n      <td>30.0</td>\n      <td>2.419</td>\n    </tr>\n    <tr>\n      <td>LTC</td>\n      <td>-31.417</td>\n      <td>8.817</td>\n      <td>-3.651</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-3.856</td>\n      <td>45.733</td>\n      <td>180.0</td>\n      <td>46.680</td>\n    </tr>\n    <tr>\n      <td>BAT</td>\n      <td>477.158</td>\n      <td>27.264</td>\n      <td>-24.723</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-3349.001</td>\n      <td>0.163</td>\n      <td>570.0</td>\n      <td>0.170</td>\n    </tr>\n    <tr>\n      <td>NEO</td>\n      <td>-60.144</td>\n      <td>2.938</td>\n      <td>1.243</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>7.533</td>\n      <td>7.800</td>\n      <td>60.0</td>\n      <td>7.965</td>\n    </tr>\n    <tr>\n      <td>IOST</td>\n      <td>1529.663</td>\n      <td>29.673</td>\n      <td>6.540</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>172215.844</td>\n      <td>0.003</td>\n      <td>600.0</td>\n      <td>0.003</td>\n    </tr>\n    <tr>\n      <td>XRP</td>\n      <td>317.382</td>\n      <td>7.356</td>\n      <td>2.888</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>748.877</td>\n      <td>0.196</td>\n      <td>150.0</td>\n      <td>0.200</td>\n    </tr>\n    <tr>\n      <td>VET</td>\n      <td>931.412</td>\n      <td>18.113</td>\n      <td>2.251</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-91603.053</td>\n      <td>0.004</td>\n      <td>360.0</td>\n      <td>0.004</td>\n    </tr>\n    <tr>\n      <td>EOS</td>\n      <td>409.221</td>\n      <td>1.500</td>\n      <td>-0.000</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-10.945</td>\n      <td>2.741</td>\n      <td>30.0</td>\n      <td>2.741</td>\n    </tr>\n    <tr>\n      <td>IOTA</td>\n      <td>953.180</td>\n      <td>2.898</td>\n      <td>2.034</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>352.941</td>\n      <td>0.164</td>\n      <td>60.0</td>\n      <td>0.170</td>\n    </tr>\n    <tr>\n      <td>BNB</td>\n      <td>829.692</td>\n      <td>12.000</td>\n      <td>-0.000</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-15.646</td>\n      <td>15.339</td>\n      <td>240.0</td>\n      <td>15.339</td>\n    </tr>\n    <tr>\n      <td>TRX</td>\n      <td>258.911</td>\n      <td>19.124</td>\n      <td>7.516</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>28446.389</td>\n      <td>0.013</td>\n      <td>390.0</td>\n      <td>0.014</td>\n    </tr>\n    <tr>\n      <td>ADA</td>\n      <td>-37.350</td>\n      <td>8.642</td>\n      <td>-7.167</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-4905.969</td>\n      <td>0.035</td>\n      <td>180.0</td>\n      <td>0.037</td>\n    </tr>\n    <tr>\n      <td>ONT</td>\n      <td>1000.420</td>\n      <td>1.500</td>\n      <td>-0.000</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-68.886</td>\n      <td>0.436</td>\n      <td>30.0</td>\n      <td>0.436</td>\n    </tr>\n    <tr>\n      <td>ZEC</td>\n      <td>628.931</td>\n      <td>8.733</td>\n      <td>-5.339</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-4.736</td>\n      <td>36.883</td>\n      <td>180.0</td>\n      <td>38.010</td>\n    </tr>\n  </tbody>\n</table>\n</div>"}, "metadata": {}}]}, {"metadata": {}, "cell_type": "markdown", "source": "## \u53c2\u6570\u7684\u4f18\u5316\n\n\u6307\u6570\u79fb\u52a8\u5e73\u5c40\u7684Alpha\u53c2\u6570\uff0c\u8bbe\u7f6e\u7684\u8d8a\u5927\uff0c\u57fa\u51c6\u4ef7\u683c\u8ddf\u8e2a\u8d8a\u654f\u611f\uff0c\u4ea4\u6613\u7684\u8d8a\u5c11\uff0c\u6700\u7ec8\u6301\u4ed3\u4e5f\u4f1a\u8d8a\u4f4e\uff0c\u964d\u4f4e\u4e86\u6760\u6746\uff0c\u4f46\u4f1a\u964d\u4f4e\u6536\u76ca\uff0c\u964d\u4f4e\u6700\u5927\u56de\u64a4\uff0c\u53ef\u4ee5\u52a0\u5927\u6210\u4ea4\u91cf\uff0c\u5177\u4f53\u9700\u8981\u6839\u636e\u56de\u6d4b\u7ed3\u679c\u81ea\u5df1\u6743\u8861\u3002\n\n\u7531\u4e8e\u56de\u6d4b\u662f1hK\u7ebf\uff0c\u53ea\u80fd\u4e00\u5c0f\u65f6\u66f4\u65b0\u4e00\u6b21\uff0c\u5b9e\u76d8\u53ef\u4ee5\u66f4\u5feb\u7684\u66f4\u65b0\uff0c\u9700\u8981\u7efc\u5408\u6743\u8861\u5177\u4f53\u8bbe\u7f6e\u591a\u5c11\u3002\n\n\u8fd9\u662f\u4f18\u5316\u7684\u7ed3\u679c\uff1a"}, {"metadata": {"trusted": true, "scrolled": true}, "cell_type": "code", "source": "for Alpha in [i/100 for i in range(1,30)]:\n    #price_usdt_btc_norm2 = price_usdt_btc/price_usdt_btc.rolling(20).mean() #\u666e\u901a\u5747\u7ebf\n    price_usdt_btc_norm2 = price_usdt_btc/price_usdt_btc.ewm(alpha=Alpha).mean() #\u8fd9\u91cc\u548c\u7b56\u7565\u4e00\u81f4\uff0c\u7528\u4e86EMA\n    trade_symbols = list(set(symbols))#\u5168\u5e01\u79cd\n    price_usdt_btc_norm_mean = price_usdt_btc_norm2[trade_symbols].mean(axis=1)\n    e = Exchange(trade_symbols,initial_balance=10000,commission=0.0005,log=False)\n    trade_value = 300\n    for row in price_usdt.iloc[:].iterrows():\n        e.Update(row[0], row[1])\n        empty_value = 0\n        for symbol in trade_symbols:\n            price = row[1][symbol]\n            if np.isnan(price):\n                continue\n            diff = price_usdt_btc_norm2.loc[row[0],symbol] - price_usdt_btc_norm_mean[row[0]]\n            aim_value = -trade_value*round(diff/0.01,1)\n            now_value = e.account[symbol]['value']*np.sign(e.account[symbol]['amount'])\n            empty_value += now_value\n            if aim_value - now_value > 20:\n                e.Buy(symbol, price, round((aim_value - now_value)/price, 6),round(e.account[symbol]['realised_profit']+e.account[symbol]['unrealised_profit'],2))\n            if aim_value - now_value < -20:\n                e.Sell(symbol, price, -round((aim_value - now_value)/price, 6),round(e.account[symbol]['realised_profit']+e.account[symbol]['unrealised_profit'],2))\n    stragey_2d = e\n    # \u5206\u522b\u662f\u6700\u7ec8\u51c0\u503c\uff0c\u521d\u59cb\u6700\u5927\u56de\u6d4b\uff0c\u6700\u7ec8\u6301\u4ed3\u5927\u5c0f,\u624b\u7eed\u8d39\n    print(Alpha, round(stragey_2d.account['USDT']['total'],1), round(1-stragey_2d.df['total'].min()/stragey_2d.initial_balance,2),round(pd.DataFrame(stragey_2d.account).T['value'].sum(),1),round(stragey_2d.account['USDT']['fee']))", "execution_count": 235, "outputs": [{"output_type": "stream", "text": "0.01 21116.2 0.14 15480.0 2178.0\n0.02 20555.6 0.07 12420.0 2184.0\n0.03 20279.4 0.06 9990.0 2176.0\n0.04 20021.5 0.04 8580.0 2168.0\n0.05 19719.1 0.03 7740.0 2157.0\n0.06 19616.6 0.03 7050.0 2145.0\n0.07 19344.0 0.02 6450.0 2133.0\n0.08 19174.0 0.02 6120.0 2117.0\n0.09 18988.4 0.01 5670.0 2104.0\n0.1 18734.8 0.01 5520.0 2090.0\n0.11 18532.7 0.01 5310.0 2078.0\n0.12 18354.2 0.01 5130.0 2061.0\n0.13 18171.7 0.01 4830.0 2047.0\n0.14 17960.4 0.01 4770.0 2032.0\n0.15 17779.8 0.01 4531.3 2017.0\n0.16 17570.1 0.01 4441.3 2003.0\n0.17 17370.2 0.01 4410.0 1985.0\n0.18 17203.7 0.0 4320.0 1971.0\n0.19 17016.9 0.0 4290.0 1955.0\n0.2 16810.6 0.0 4230.6 1937.0\n0.21 16664.1 0.0 4051.3 1921.0\n0.22 16488.2 0.0 3930.6 1902.0\n0.23 16378.9 0.0 3900.6 1887.0\n0.24 16190.8 0.0 3840.0 1873.0\n0.25 15993.0 0.0 3781.3 1855.0\n0.26 15828.5 0.0 3661.3 1835.0\n0.27 15673.0 0.0 3571.3 1816.0\n0.28 15559.5 0.0 3511.3 1800.0\n0.29 15416.4 0.0 3481.3 1780.0\n", "name": "stdout"}]}, {"metadata": {"trusted": true}, "cell_type": "code", "source": "", "execution_count": null, "outputs": []}], "metadata": {"kernelspec": {"name": "python3", "display_name": "Python 3", "language": "python"}, "language_info": {"name": "python", "version": "3.6.8", "mimetype": "text/x-python", "codemirror_mode": {"name": "ipython", "version": 3}, "pygments_lexer": "ipython3", "nbconvert_exporter": "python", "file_extension": ".py"}}, "nbformat": 4, "nbformat_minor": 2}