python_notebook/test_ptf_var.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from scipy import stats, integrate\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "sns.set(color_codes=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "prices = pd.read_csv('../data/StockIndexData.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DJIA</th>\n",
       "      <th>GSPC</th>\n",
       "      <th>NDX</th>\n",
       "      <th>GDAXI</th>\n",
       "      <th>FCHI</th>\n",
       "      <th>SSEC</th>\n",
       "      <th>SENSEX</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>4534.000000</td>\n",
       "      <td>4534.000000</td>\n",
       "      <td>3471.000000</td>\n",
       "      <td>4474.000000</td>\n",
       "      <td>4484.000000</td>\n",
       "      <td>4217.000000</td>\n",
       "      <td>4332.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>12024.264544</td>\n",
       "      <td>1363.931028</td>\n",
       "      <td>2393.562377</td>\n",
       "      <td>6460.746432</td>\n",
       "      <td>4290.652378</td>\n",
       "      <td>2288.401780</td>\n",
       "      <td>13039.874506</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2825.883696</td>\n",
       "      <td>343.223358</td>\n",
       "      <td>1081.934752</td>\n",
       "      <td>2121.576725</td>\n",
       "      <td>895.602721</td>\n",
       "      <td>925.240429</td>\n",
       "      <td>8108.154718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>6547.049805</td>\n",
       "      <td>676.530029</td>\n",
       "      <td>938.520000</td>\n",
       "      <td>2202.959961</td>\n",
       "      <td>2403.040039</td>\n",
       "      <td>1011.499023</td>\n",
       "      <td>2600.120000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>10215.434815</td>\n",
       "      <td>1133.007507</td>\n",
       "      <td>1568.910000</td>\n",
       "      <td>4934.442627</td>\n",
       "      <td>3649.460022</td>\n",
       "      <td>1571.901001</td>\n",
       "      <td>4756.892500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>11018.915039</td>\n",
       "      <td>1295.510010</td>\n",
       "      <td>1943.940000</td>\n",
       "      <td>6172.429931</td>\n",
       "      <td>4219.814941</td>\n",
       "      <td>2103.670898</td>\n",
       "      <td>13668.405000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>13270.152344</td>\n",
       "      <td>1477.597503</td>\n",
       "      <td>2954.120000</td>\n",
       "      <td>7583.172363</td>\n",
       "      <td>4836.300049</td>\n",
       "      <td>2850.311035</td>\n",
       "      <td>18837.347500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>18636.050781</td>\n",
       "      <td>2190.149902</td>\n",
       "      <td>4909.970000</td>\n",
       "      <td>12374.730469</td>\n",
       "      <td>6856.759766</td>\n",
       "      <td>6092.057129</td>\n",
       "      <td>29681.770000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               DJIA         GSPC          NDX         GDAXI         FCHI  \\\n",
       "count   4534.000000  4534.000000  3471.000000   4474.000000  4484.000000   \n",
       "mean   12024.264544  1363.931028  2393.562377   6460.746432  4290.652378   \n",
       "std     2825.883696   343.223358  1081.934752   2121.576725   895.602721   \n",
       "min     6547.049805   676.530029   938.520000   2202.959961  2403.040039   \n",
       "25%    10215.434815  1133.007507  1568.910000   4934.442627  3649.460022   \n",
       "50%    11018.915039  1295.510010  1943.940000   6172.429931  4219.814941   \n",
       "75%    13270.152344  1477.597503  2954.120000   7583.172363  4836.300049   \n",
       "max    18636.050781  2190.149902  4909.970000  12374.730469  6856.759766   \n",
       "\n",
       "              SSEC        SENSEX  \n",
       "count  4217.000000   4332.000000  \n",
       "mean   2288.401780  13039.874506  \n",
       "std     925.240429   8108.154718  \n",
       "min    1011.499023   2600.120000  \n",
       "25%    1571.901001   4756.892500  \n",
       "50%    2103.670898  13668.405000  \n",
       "75%    2850.311035  18837.347500  \n",
       "max    6092.057129  29681.770000  "
      ]
     },
     "execution_count": 185,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prices.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>DJIA</th>\n",
       "      <th>GSPC</th>\n",
       "      <th>NDX</th>\n",
       "      <th>GDAXI</th>\n",
       "      <th>FCHI</th>\n",
       "      <th>SSEC</th>\n",
       "      <th>SENSEX</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1055</th>\n",
       "      <td>2003-01-10</td>\n",
       "      <td>8784.889648</td>\n",
       "      <td>927.570007</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3037.330078</td>\n",
       "      <td>3160.129883</td>\n",
       "      <td>1384.859009</td>\n",
       "      <td>3358.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1056</th>\n",
       "      <td>2003-01-13</td>\n",
       "      <td>8785.980469</td>\n",
       "      <td>926.260010</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3060.649902</td>\n",
       "      <td>3169.820068</td>\n",
       "      <td>1386.313965</td>\n",
       "      <td>3327.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1057</th>\n",
       "      <td>2003-01-14</td>\n",
       "      <td>8842.620117</td>\n",
       "      <td>931.659973</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3098.719971</td>\n",
       "      <td>3174.030029</td>\n",
       "      <td>1466.850952</td>\n",
       "      <td>3335.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1058</th>\n",
       "      <td>2003-01-15</td>\n",
       "      <td>8723.179688</td>\n",
       "      <td>918.219971</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3049.399902</td>\n",
       "      <td>3134.659912</td>\n",
       "      <td>1459.920044</td>\n",
       "      <td>3357.69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1059</th>\n",
       "      <td>2003-01-16</td>\n",
       "      <td>8697.870117</td>\n",
       "      <td>914.599976</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3054.110107</td>\n",
       "      <td>3142.590088</td>\n",
       "      <td>1485.618042</td>\n",
       "      <td>3373.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1060</th>\n",
       "      <td>2003-01-17</td>\n",
       "      <td>8586.740234</td>\n",
       "      <td>901.780029</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2918.820068</td>\n",
       "      <td>3056.929932</td>\n",
       "      <td>1478.675049</td>\n",
       "      <td>3370.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1061</th>\n",
       "      <td>2003-01-21</td>\n",
       "      <td>8442.900391</td>\n",
       "      <td>887.619995</td>\n",
       "      <td>1008.93</td>\n",
       "      <td>2870.570068</td>\n",
       "      <td>2992.389893</td>\n",
       "      <td>1454.890991</td>\n",
       "      <td>3354.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1062</th>\n",
       "      <td>2003-01-22</td>\n",
       "      <td>8318.730469</td>\n",
       "      <td>878.359985</td>\n",
       "      <td>1027.08</td>\n",
       "      <td>2803.250000</td>\n",
       "      <td>2931.379883</td>\n",
       "      <td>1460.530029</td>\n",
       "      <td>3357.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1063</th>\n",
       "      <td>2003-01-23</td>\n",
       "      <td>8369.469727</td>\n",
       "      <td>887.340027</td>\n",
       "      <td>1039.16</td>\n",
       "      <td>2811.219971</td>\n",
       "      <td>2917.969971</td>\n",
       "      <td>1450.615967</td>\n",
       "      <td>3328.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1064</th>\n",
       "      <td>2003-01-24</td>\n",
       "      <td>8131.009766</td>\n",
       "      <td>861.400024</td>\n",
       "      <td>992.85</td>\n",
       "      <td>2717.820068</td>\n",
       "      <td>2898.600098</td>\n",
       "      <td>1479.069946</td>\n",
       "      <td>3287.86</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Date         DJIA        GSPC      NDX        GDAXI         FCHI  \\\n",
       "1055  2003-01-10  8784.889648  927.570007      NaN  3037.330078  3160.129883   \n",
       "1056  2003-01-13  8785.980469  926.260010      NaN  3060.649902  3169.820068   \n",
       "1057  2003-01-14  8842.620117  931.659973      NaN  3098.719971  3174.030029   \n",
       "1058  2003-01-15  8723.179688  918.219971      NaN  3049.399902  3134.659912   \n",
       "1059  2003-01-16  8697.870117  914.599976      NaN  3054.110107  3142.590088   \n",
       "1060  2003-01-17  8586.740234  901.780029      NaN  2918.820068  3056.929932   \n",
       "1061  2003-01-21  8442.900391  887.619995  1008.93  2870.570068  2992.389893   \n",
       "1062  2003-01-22  8318.730469  878.359985  1027.08  2803.250000  2931.379883   \n",
       "1063  2003-01-23  8369.469727  887.340027  1039.16  2811.219971  2917.969971   \n",
       "1064  2003-01-24  8131.009766  861.400024   992.85  2717.820068  2898.600098   \n",
       "\n",
       "             SSEC   SENSEX  \n",
       "1055  1384.859009  3358.99  \n",
       "1056  1386.313965  3327.16  \n",
       "1057  1466.850952  3335.35  \n",
       "1058  1459.920044  3357.69  \n",
       "1059  1485.618042  3373.52  \n",
       "1060  1478.675049  3370.39  \n",
       "1061  1454.890991  3354.14  \n",
       "1062  1460.530029  3357.04  \n",
       "1063  1450.615967  3328.18  \n",
       "1064  1479.069946  3287.86  "
      ]
     },
     "execution_count": 186,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prices[1055:1065]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 254,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f58ddceb0d0>"
      ]
     },
     "execution_count": 254,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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TJk1j2rQfWLt2NbVr16ZPn7789tua7H0hQgghxH/E65JbGWuUL5TiuMGqC97O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wMopfVliJxrvwkgMlVm+R0zUVuTqHybcu3SRiMolumzL7y6BdV9LYoeRTVDXzE67hlLfvVrGCrH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\nQkTc/w8a3OGieCzZHgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f58dd6f4110>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "prices['DJIArebased'] = prices['DJIA'][1061:]/prices['DJIA'][1061] *100\n",
    "prices['GSPCrebased'] = prices['GSPC'][1061:]/prices['GSPC'][1061] *100\n",
    "prices['NDXrebased'] = prices['NDX'][1061:]/prices['NDX'][1061] *100\n",
    "prices['GDAXIrebased'] = prices['GDAXI'][1061:]/prices['GDAXI'][1061] *100\n",
    "prices['FCHIrebased'] = prices['FCHI'][1061:]/prices['FCHI'][1061] *100\n",
    "prices['SSECrebased'] = prices['SSEC'][1061:]/prices['SSEC'][1061] *100\n",
    "prices['SENSEXrebased'] = prices['SENSEX'][1061:]/prices['SENSEX'][1061] *100\n",
    "\n",
    "prices['DJIArebased'].plot(linewidth=.5)\n",
    "prices['GSPCrebased'].plot(linewidth=.5)\n",
    "prices['NDXrebased'].plot(linewidth=.5)\n",
    "prices['GDAXIrebased'].plot(linewidth=.5)\n",
    "prices['FCHIrebased'].plot(linewidth=.5)\n",
    "prices['SSECrebased'].plot(linewidth=.5)\n",
    "prices['SENSEXrebased'].plot(linewidth=.5)\n",
    "plt.legend( loc='upper left', numpoints = 1 )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 255,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "prices['DJIALogRtn'] = (np.log(prices['DJIA'])[1:] - np.log(prices['DJIA'].shift(1))[1:])*100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 257,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f58dd51ecd0>"
      ]
     },
     "execution_count": 257,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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5RWXWE4Oatjd2aPmhGUZ2gnzUxBNJT418MbCvtZt6JX6Hf37Bf4q0XCL2jYWL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\nglAAAABoRxAKAAAA7f4P0Q3Yqrb6wo4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f58ddda4a10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "prices['DJIALogRtn'][1:].plot(linewidth=.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 258,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "prices['GSPCLogRtn'] = (np.log(prices['GSPC'])[1:] - np.log(prices['GSPC'].shift(1))[1:])*100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 259,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "prices['NDXLogRtn'] = (np.log(prices['NDX'])[1:] - np.log(prices['NDX'].shift(1))[1:])*100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 260,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "prices['GDAXILogRtn'] = (np.log(prices['GDAXI'])[1:] - np.log(prices['GDAXI'].shift(1))[1:])*100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 261,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "prices['FCHILogRtn'] = (np.log(prices['FCHI'])[1:] - np.log(prices['FCHI'].shift(1))[1:])*100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 262,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "prices['SSECLogRtn'] = (np.log(prices['SSEC'])[1:] - np.log(prices['SSEC'].shift(1))[1:])*100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 263,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "prices['SENSEXLogRtn'] = (np.log(prices['SENSEX'])[1:] - np.log(prices['SENSEX'].shift(1))[1:])*100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 264,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "prices['ptfLogRtn'] = (prices['DJIALogRtn'] + prices['GSPCLogRtn'] + prices['NDXLogRtn'] + prices['GDAXILogRtn'] + prices['FCHILogRtn'] + prices['SSECLogRtn'] + prices['SENSEXLogRtn'])/7.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 265,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "prices1 =prices[prices['ptfLogRtn'].notnull()]\n",
    "prices1 = prices1.reindex()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 266,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>DJIA</th>\n",
       "      <th>GSPC</th>\n",
       "      <th>NDX</th>\n",
       "      <th>GDAXI</th>\n",
       "      <th>FCHI</th>\n",
       "      <th>SSEC</th>\n",
       "      <th>SENSEX</th>\n",
       "      <th>DJIALogRtn</th>\n",
       "      <th>GSPCLogRtn</th>\n",
       "      <th>...</th>\n",
       "      <th>SSECLogRtn</th>\n",
       "      <th>SENSEXLogRtn</th>\n",
       "      <th>ptfLogRtn</th>\n",
       "      <th>DJIArebased</th>\n",
       "      <th>GSPCrebased</th>\n",
       "      <th>NDXrebased</th>\n",
       "      <th>GDAXIrebased</th>\n",
       "      <th>FCHIrebased</th>\n",
       "      <th>SSECrebased</th>\n",
       "      <th>SENSEXrebased</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1062</th>\n",
       "      <td>2003-01-22</td>\n",
       "      <td>8318.730469</td>\n",
       "      <td>878.359985</td>\n",
       "      <td>1027.08</td>\n",
       "      <td>2803.250000</td>\n",
       "      <td>2931.379883</td>\n",
       "      <td>1460.530029</td>\n",
       "      <td>3357.04</td>\n",
       "      <td>-1.481624</td>\n",
       "      <td>-1.048720</td>\n",
       "      <td>...</td>\n",
       "      <td>0.386843</td>\n",
       "      <td>0.086423</td>\n",
       "      <td>-0.672452</td>\n",
       "      <td>98.529298</td>\n",
       "      <td>98.956760</td>\n",
       "      <td>101.798936</td>\n",
       "      <td>97.654819</td>\n",
       "      <td>97.961161</td>\n",
       "      <td>100.387592</td>\n",
       "      <td>100.086460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1063</th>\n",
       "      <td>2003-01-23</td>\n",
       "      <td>8369.469727</td>\n",
       "      <td>887.340027</td>\n",
       "      <td>1039.16</td>\n",
       "      <td>2811.219971</td>\n",
       "      <td>2917.969971</td>\n",
       "      <td>1450.615967</td>\n",
       "      <td>3328.18</td>\n",
       "      <td>0.608087</td>\n",
       "      <td>1.017174</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.681113</td>\n",
       "      <td>-0.863403</td>\n",
       "      <td>0.153633</td>\n",
       "      <td>99.130267</td>\n",
       "      <td>99.968459</td>\n",
       "      <td>102.996244</td>\n",
       "      <td>97.932463</td>\n",
       "      <td>97.513027</td>\n",
       "      <td>99.706162</td>\n",
       "      <td>99.226031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1064</th>\n",
       "      <td>2003-01-24</td>\n",
       "      <td>8131.009766</td>\n",
       "      <td>861.400024</td>\n",
       "      <td>992.85</td>\n",
       "      <td>2717.820068</td>\n",
       "      <td>2898.600098</td>\n",
       "      <td>1479.069946</td>\n",
       "      <td>3287.86</td>\n",
       "      <td>-2.890541</td>\n",
       "      <td>-2.966925</td>\n",
       "      <td>...</td>\n",
       "      <td>1.942520</td>\n",
       "      <td>-1.218871</td>\n",
       "      <td>-1.962503</td>\n",
       "      <td>96.305883</td>\n",
       "      <td>97.046036</td>\n",
       "      <td>98.406232</td>\n",
       "      <td>94.678757</td>\n",
       "      <td>96.865723</td>\n",
       "      <td>101.661908</td>\n",
       "      <td>98.023935</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1065</th>\n",
       "      <td>2003-01-27</td>\n",
       "      <td>7989.560059</td>\n",
       "      <td>847.479980</td>\n",
       "      <td>982.02</td>\n",
       "      <td>2643.800049</td>\n",
       "      <td>2795.780029</td>\n",
       "      <td>1496.156982</td>\n",
       "      <td>3247.71</td>\n",
       "      <td>-1.754942</td>\n",
       "      <td>-1.629178</td>\n",
       "      <td>...</td>\n",
       "      <td>1.148633</td>\n",
       "      <td>-1.228676</td>\n",
       "      <td>-1.561987</td>\n",
       "      <td>94.630514</td>\n",
       "      <td>95.477793</td>\n",
       "      <td>97.332818</td>\n",
       "      <td>92.100175</td>\n",
       "      <td>93.429671</td>\n",
       "      <td>102.836363</td>\n",
       "      <td>96.826906</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1066</th>\n",
       "      <td>2003-01-28</td>\n",
       "      <td>8088.839844</td>\n",
       "      <td>858.539978</td>\n",
       "      <td>1006.51</td>\n",
       "      <td>2671.360107</td>\n",
       "      <td>2800.070068</td>\n",
       "      <td>1500.639038</td>\n",
       "      <td>3267.84</td>\n",
       "      <td>1.234962</td>\n",
       "      <td>1.296603</td>\n",
       "      <td>...</td>\n",
       "      <td>0.299123</td>\n",
       "      <td>0.617908</td>\n",
       "      <td>1.014603</td>\n",
       "      <td>95.806411</td>\n",
       "      <td>96.723821</td>\n",
       "      <td>99.760142</td>\n",
       "      <td>93.060265</td>\n",
       "      <td>93.573036</td>\n",
       "      <td>103.144431</td>\n",
       "      <td>97.427060</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Date         DJIA        GSPC      NDX        GDAXI         FCHI  \\\n",
       "1062  2003-01-22  8318.730469  878.359985  1027.08  2803.250000  2931.379883   \n",
       "1063  2003-01-23  8369.469727  887.340027  1039.16  2811.219971  2917.969971   \n",
       "1064  2003-01-24  8131.009766  861.400024   992.85  2717.820068  2898.600098   \n",
       "1065  2003-01-27  7989.560059  847.479980   982.02  2643.800049  2795.780029   \n",
       "1066  2003-01-28  8088.839844  858.539978  1006.51  2671.360107  2800.070068   \n",
       "\n",
       "             SSEC   SENSEX  DJIALogRtn  GSPCLogRtn      ...        SSECLogRtn  \\\n",
       "1062  1460.530029  3357.04   -1.481624   -1.048720      ...          0.386843   \n",
       "1063  1450.615967  3328.18    0.608087    1.017174      ...         -0.681113   \n",
       "1064  1479.069946  3287.86   -2.890541   -2.966925      ...          1.942520   \n",
       "1065  1496.156982  3247.71   -1.754942   -1.629178      ...          1.148633   \n",
       "1066  1500.639038  3267.84    1.234962    1.296603      ...          0.299123   \n",
       "\n",
       "      SENSEXLogRtn  ptfLogRtn  DJIArebased  GSPCrebased  NDXrebased  \\\n",
       "1062      0.086423  -0.672452    98.529298    98.956760  101.798936   \n",
       "1063     -0.863403   0.153633    99.130267    99.968459  102.996244   \n",
       "1064     -1.218871  -1.962503    96.305883    97.046036   98.406232   \n",
       "1065     -1.228676  -1.561987    94.630514    95.477793   97.332818   \n",
       "1066      0.617908   1.014603    95.806411    96.723821   99.760142   \n",
       "\n",
       "      GDAXIrebased  FCHIrebased  SSECrebased  SENSEXrebased  \n",
       "1062     97.654819    97.961161   100.387592     100.086460  \n",
       "1063     97.932463    97.513027    99.706162      99.226031  \n",
       "1064     94.678757    96.865723   101.661908      98.023935  \n",
       "1065     92.100175    93.429671   102.836363      96.826906  \n",
       "1066     93.060265    93.573036   103.144431      97.427060  \n",
       "\n",
       "[5 rows x 23 columns]"
      ]
     },
     "execution_count": 266,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prices1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 267,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DJIA</th>\n",
       "      <th>GSPC</th>\n",
       "      <th>NDX</th>\n",
       "      <th>GDAXI</th>\n",
       "      <th>FCHI</th>\n",
       "      <th>SSEC</th>\n",
       "      <th>SENSEX</th>\n",
       "      <th>DJIALogRtn</th>\n",
       "      <th>GSPCLogRtn</th>\n",
       "      <th>NDXLogRtn</th>\n",
       "      <th>...</th>\n",
       "      <th>SSECLogRtn</th>\n",
       "      <th>SENSEXLogRtn</th>\n",
       "      <th>ptfLogRtn</th>\n",
       "      <th>DJIArebased</th>\n",
       "      <th>GSPCrebased</th>\n",
       "      <th>NDXrebased</th>\n",
       "      <th>GDAXIrebased</th>\n",
       "      <th>FCHIrebased</th>\n",
       "      <th>SSECrebased</th>\n",
       "      <th>SENSEXrebased</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>2854.000000</td>\n",
       "      <td>2854.000000</td>\n",
       "      <td>2854.000000</td>\n",
       "      <td>2854.000000</td>\n",
       "      <td>2854.000000</td>\n",
       "      <td>2854.000000</td>\n",
       "      <td>2854.000000</td>\n",
       "      <td>2854.000000</td>\n",
       "      <td>2854.000000</td>\n",
       "      <td>2854.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>2854.000000</td>\n",
       "      <td>2854.000000</td>\n",
       "      <td>2854.000000</td>\n",
       "      <td>2854.000000</td>\n",
       "      <td>2854.000000</td>\n",
       "      <td>2854.000000</td>\n",
       "      <td>2854.000000</td>\n",
       "      <td>2854.000000</td>\n",
       "      <td>2854.000000</td>\n",
       "      <td>2854.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>12603.069435</td>\n",
       "      <td>1403.635795</td>\n",
       "      <td>2383.911065</td>\n",
       "      <td>6753.738939</td>\n",
       "      <td>4135.112452</td>\n",
       "      <td>2479.540157</td>\n",
       "      <td>15853.501850</td>\n",
       "      <td>0.011853</td>\n",
       "      <td>0.011745</td>\n",
       "      <td>0.030052</td>\n",
       "      <td>...</td>\n",
       "      <td>0.017706</td>\n",
       "      <td>0.054778</td>\n",
       "      <td>0.021414</td>\n",
       "      <td>149.274169</td>\n",
       "      <td>158.134765</td>\n",
       "      <td>236.281116</td>\n",
       "      <td>235.275182</td>\n",
       "      <td>138.187623</td>\n",
       "      <td>170.427900</td>\n",
       "      <td>472.654745</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2930.911400</td>\n",
       "      <td>367.350458</td>\n",
       "      <td>1075.191660</td>\n",
       "      <td>2249.798344</td>\n",
       "      <td>780.336937</td>\n",
       "      <td>982.750446</td>\n",
       "      <td>7178.598433</td>\n",
       "      <td>1.102483</td>\n",
       "      <td>1.189097</td>\n",
       "      <td>1.391938</td>\n",
       "      <td>...</td>\n",
       "      <td>1.705130</td>\n",
       "      <td>1.501210</td>\n",
       "      <td>0.984845</td>\n",
       "      <td>34.714509</td>\n",
       "      <td>41.386005</td>\n",
       "      <td>106.567518</td>\n",
       "      <td>78.374619</td>\n",
       "      <td>26.077382</td>\n",
       "      <td>67.548047</td>\n",
       "      <td>214.022027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>6547.049805</td>\n",
       "      <td>676.530029</td>\n",
       "      <td>956.570000</td>\n",
       "      <td>2329.040039</td>\n",
       "      <td>2513.610107</td>\n",
       "      <td>1011.499023</td>\n",
       "      <td>2924.030000</td>\n",
       "      <td>-8.200514</td>\n",
       "      <td>-9.469512</td>\n",
       "      <td>-9.233715</td>\n",
       "      <td>...</td>\n",
       "      <td>-12.763630</td>\n",
       "      <td>-12.795984</td>\n",
       "      <td>-6.837210</td>\n",
       "      <td>77.545032</td>\n",
       "      <td>76.218431</td>\n",
       "      <td>94.810344</td>\n",
       "      <td>81.135105</td>\n",
       "      <td>84.000087</td>\n",
       "      <td>69.524042</td>\n",
       "      <td>87.176743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>10444.197265</td>\n",
       "      <td>1139.787536</td>\n",
       "      <td>1568.885000</td>\n",
       "      <td>4998.812622</td>\n",
       "      <td>3568.029907</td>\n",
       "      <td>1679.142731</td>\n",
       "      <td>9967.055000</td>\n",
       "      <td>-0.443297</td>\n",
       "      <td>-0.467969</td>\n",
       "      <td>-0.625321</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.740634</td>\n",
       "      <td>-0.642555</td>\n",
       "      <td>-0.420076</td>\n",
       "      <td>123.703902</td>\n",
       "      <td>128.409403</td>\n",
       "      <td>155.499886</td>\n",
       "      <td>174.140066</td>\n",
       "      <td>119.236799</td>\n",
       "      <td>115.413646</td>\n",
       "      <td>297.156797</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>12050.205078</td>\n",
       "      <td>1307.500000</td>\n",
       "      <td>1935.315000</td>\n",
       "      <td>6484.409912</td>\n",
       "      <td>4029.660035</td>\n",
       "      <td>2336.428101</td>\n",
       "      <td>16782.650000</td>\n",
       "      <td>0.046090</td>\n",
       "      <td>0.069470</td>\n",
       "      <td>0.090918</td>\n",
       "      <td>...</td>\n",
       "      <td>0.055324</td>\n",
       "      <td>0.090751</td>\n",
       "      <td>0.069397</td>\n",
       "      <td>142.725894</td>\n",
       "      <td>147.304027</td>\n",
       "      <td>191.818560</td>\n",
       "      <td>225.892759</td>\n",
       "      <td>134.663603</td>\n",
       "      <td>160.591282</td>\n",
       "      <td>500.356276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>14801.530273</td>\n",
       "      <td>1591.535034</td>\n",
       "      <td>2875.080000</td>\n",
       "      <td>8046.952392</td>\n",
       "      <td>4604.542603</td>\n",
       "      <td>2990.901978</td>\n",
       "      <td>19940.540000</td>\n",
       "      <td>0.524914</td>\n",
       "      <td>0.547294</td>\n",
       "      <td>0.747184</td>\n",
       "      <td>...</td>\n",
       "      <td>0.844907</td>\n",
       "      <td>0.814426</td>\n",
       "      <td>0.524386</td>\n",
       "      <td>175.313335</td>\n",
       "      <td>179.303648</td>\n",
       "      <td>284.963278</td>\n",
       "      <td>280.325935</td>\n",
       "      <td>153.875089</td>\n",
       "      <td>205.575675</td>\n",
       "      <td>594.505298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>18613.519531</td>\n",
       "      <td>2187.020020</td>\n",
       "      <td>4909.970000</td>\n",
       "      <td>12374.730469</td>\n",
       "      <td>6168.149902</td>\n",
       "      <td>6092.057129</td>\n",
       "      <td>29681.770000</td>\n",
       "      <td>10.508346</td>\n",
       "      <td>10.957197</td>\n",
       "      <td>11.849331</td>\n",
       "      <td>...</td>\n",
       "      <td>9.034459</td>\n",
       "      <td>15.989984</td>\n",
       "      <td>9.349853</td>\n",
       "      <td>220.463569</td>\n",
       "      <td>246.391477</td>\n",
       "      <td>486.651205</td>\n",
       "      <td>431.089650</td>\n",
       "      <td>206.127882</td>\n",
       "      <td>418.729456</td>\n",
       "      <td>884.929371</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               DJIA         GSPC          NDX         GDAXI         FCHI  \\\n",
       "count   2854.000000  2854.000000  2854.000000   2854.000000  2854.000000   \n",
       "mean   12603.069435  1403.635795  2383.911065   6753.738939  4135.112452   \n",
       "std     2930.911400   367.350458  1075.191660   2249.798344   780.336937   \n",
       "min     6547.049805   676.530029   956.570000   2329.040039  2513.610107   \n",
       "25%    10444.197265  1139.787536  1568.885000   4998.812622  3568.029907   \n",
       "50%    12050.205078  1307.500000  1935.315000   6484.409912  4029.660035   \n",
       "75%    14801.530273  1591.535034  2875.080000   8046.952392  4604.542603   \n",
       "max    18613.519531  2187.020020  4909.970000  12374.730469  6168.149902   \n",
       "\n",
       "              SSEC        SENSEX   DJIALogRtn   GSPCLogRtn    NDXLogRtn  \\\n",
       "count  2854.000000   2854.000000  2854.000000  2854.000000  2854.000000   \n",
       "mean   2479.540157  15853.501850     0.011853     0.011745     0.030052   \n",
       "std     982.750446   7178.598433     1.102483     1.189097     1.391938   \n",
       "min    1011.499023   2924.030000    -8.200514    -9.469512    -9.233715   \n",
       "25%    1679.142731   9967.055000    -0.443297    -0.467969    -0.625321   \n",
       "50%    2336.428101  16782.650000     0.046090     0.069470     0.090918   \n",
       "75%    2990.901978  19940.540000     0.524914     0.547294     0.747184   \n",
       "max    6092.057129  29681.770000    10.508346    10.957197    11.849331   \n",
       "\n",
       "           ...         SSECLogRtn  SENSEXLogRtn    ptfLogRtn  DJIArebased  \\\n",
       "count      ...        2854.000000   2854.000000  2854.000000  2854.000000   \n",
       "mean       ...           0.017706      0.054778     0.021414   149.274169   \n",
       "std        ...           1.705130      1.501210     0.984845    34.714509   \n",
       "min        ...         -12.763630    -12.795984    -6.837210    77.545032   \n",
       "25%        ...          -0.740634     -0.642555    -0.420076   123.703902   \n",
       "50%        ...           0.055324      0.090751     0.069397   142.725894   \n",
       "75%        ...           0.844907      0.814426     0.524386   175.313335   \n",
       "max        ...           9.034459     15.989984     9.349853   220.463569   \n",
       "\n",
       "       GSPCrebased   NDXrebased  GDAXIrebased  FCHIrebased  SSECrebased  \\\n",
       "count  2854.000000  2854.000000   2854.000000  2854.000000  2854.000000   \n",
       "mean    158.134765   236.281116    235.275182   138.187623   170.427900   \n",
       "std      41.386005   106.567518     78.374619    26.077382    67.548047   \n",
       "min      76.218431    94.810344     81.135105    84.000087    69.524042   \n",
       "25%     128.409403   155.499886    174.140066   119.236799   115.413646   \n",
       "50%     147.304027   191.818560    225.892759   134.663603   160.591282   \n",
       "75%     179.303648   284.963278    280.325935   153.875089   205.575675   \n",
       "max     246.391477   486.651205    431.089650   206.127882   418.729456   \n",
       "\n",
       "       SENSEXrebased  \n",
       "count    2854.000000  \n",
       "mean      472.654745  \n",
       "std       214.022027  \n",
       "min        87.176743  \n",
       "25%       297.156797  \n",
       "50%       500.356276  \n",
       "75%       594.505298  \n",
       "max       884.929371  \n",
       "\n",
       "[8 rows x 22 columns]"
      ]
     },
     "execution_count": 267,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prices1.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 268,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.021414003747460223"
      ]
     },
     "execution_count": 268,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.mean(prices1['ptfLogRtn'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 269,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.98467216061654073"
      ]
     },
     "execution_count": 269,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.std(prices1['ptfLogRtn'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 270,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "a = np.array(prices1['ptfLogRtn'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 271,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-0.67245159,  0.15363293, -1.96250344, ..., -0.10798553,\n",
       "       -0.14728377, -0.93715887])"
      ]
     },
     "execution_count": 271,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 272,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "ptf_index = []\n",
    "\n",
    "ptf_index.append(100.)\n",
    "\n",
    "for i in xrange(len(prices1)):\n",
    "    tmp = ptf_index[i] * (1.+a[i]/100)\n",
    "    ptf_index.append(tmp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 273,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f58dd34d990>]"
      ]
     },
     "execution_count": 273,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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WvcqSiBFDirIxPCIiooxiH1iiAvDW5iNpbf+T68/C8CoGq0RElJ8YwBIVgI6gmtb2U0ZX\nZGkkRERE2ccSAqICwH4CREQ0mDCAJcozIUXDTb96O9fDICIiyhkGsER5RtWMpNu6tsQiIiIqZAxg\nifKMpidHq5qeHNT2hSAABqNhIiKyOQawRHlG1fSk2zIVc0qiAD1FgExERGQnDGCJ8swzr+9Jus0h\ni3j8jgv7/dySJGYsm0tERJQtDGCJ8sjOA83YcaAl6XanLEKW+v9xlkUBusEMLBER2RsDWKI8svtQ\nZ/CqqMmlBP0lSQxgiYjI/hjAEuURj6tz7ZFgWMPugy0IhrWMPb8kitBZQkBERDbHAJYoj0RbaM2Z\nXgNVN/DrP3+MTw/7IAhCRp5fYgkBERHlAQawRHlE00385PqzUFbkjLXTUjUDDjkzH2WWEBARUT5g\nAEtkc/ElArphoMTrhBzXLUDTjYxM4AKQ8LxERER2xQCWyOb+7cF3AVgLDBxvDECShIRAc92OE1i/\n40RGXot9YImIKB8wgCWyMcOIlgnoOHiiHZ/UNUIWRciSECsh8LpkXHPhhIy8HjOwRESUDxjAEtmQ\nqukIhFQ0t4cAAM+/VRdb4jWWgY1M6FI1AzWV3oy8LgNYIiLKBwxgiWzoX1esxdOv70GrXwEAjBhS\nBDMSV8qSmBBoBsManBmaxBWf2SUiIrIrBrBENiWKAkKqjhnjqwAAy5/dDMCqU3XIYizQDIb1jHUh\nkGURKjOwRERkcwxgiWzGjJYKiAIURUeJ1wFF61x1S5YESKKQmIF1SBl5bUdcaQIREZFdMYAlspk/\nrN4NwFoVK6TqKPU6EVY6A1hJFOGQRTz6P9sBAA2+YOYysKyBJSKiPMAAlshm3tt2HIA1WSus6igp\nckCJZEUXLRgPUbQysAAQXX8rczWwLCEgIiL7YwBLZEOiIEAAoCiRDKxqZWDLi5wAgOhiWdHpVg45\nMyUEssQ+sEREZH8MYIlsqNjrgKYbCKk6SrxOhCKrcYmRzGvXOlWng5O4iIho8GAAS2Qj0fpTt1PC\nu1uPI6zqKC1yYP2OegDA2GElCdtFZaqEwMEaWCIiygNyrgdARJ06gioAYPzwUgyr9EJRDBS7HQCA\nH3x9JkYOLQYAlHidCY+TpQxO4mIXAiIisjlmYIlspD2o4ktzRuOWK6ZBFASEVA0up1XfGu0HCwBn\nThqS8DhBEJAJsiRAZQ0sERHZHDOwRDbiD6go8ThjAWlYNeB2Sph4Wlms/jXqXy6ZjNnTalDscWTs\n9R2yCJ0lBEREZHMMYIlsxB9UEwJSTTMgSyJ+esM5Sdt+4ZzTMv76EttoERFRHmAJAZGNdIRUFLmt\n75WSKOCTusaMlQecCmsSF0sIiIjI3tIOYN977z2cf/75WLp0adJ9zz33HC677DKcffbZ+NKXvoRn\nn302dp9pmnjwwQexcOFCzJ49G7fccgsOHz7cv9ETFZhASIM3EsDmohuAKAowDGZgiYjI3tIKYJ98\n8kksX74cY8eOTbpv7dq1WLFiBVasWIEtW7bgvvvuw/3334+1a9cCAJ599lm8+uqreOKJJ/DOO+9g\nzJgxWLJkSUbeBFEh2HvEhwMn2lEU6TqgmyZqKr0DOgZBAEwmYImIyObSCmDdbjdeeukljB49Oum+\nHTt2YPLkyZgxYwYAYObMmZg8eTJ27doFAHjxxRdx4403Yty4cfB6vbj99tuxb98+bNu2LQNvgyi/\n1R1pxX8+uwWbdjfEMrC6bmJMTfGAjkMAA1giIrK/tALYG264AcXFqU+o8+bNQ11dHTZu3AhVVfHx\nxx9j//79mD9/PsLhMOrq6jB16tTY9kVFRRgzZgxqa2v79w6ICsBnJ9pi/48vIZDEgS1TFwQBJhjB\nEhGRvWWsC8HMmTNx11134aabboKu65AkCcuWLcP06dPR0NAA0zRRVlaW8JiysjK0tLSk9TpShhq2\nU2ZF9wv3T9/ET9Qq8jggCAJCio4ijwy5n6tspbNvHLIIQOj3a9Kp4efG3rh/7Iv7xr4Gap9kLIDd\nsGED7r//fjz11FM466yzsH37dnz/+9/HsGHDYmUFZgauTZaWevr9HJQ93D9943LJGFLuwRnjq1BZ\naV3lGDuiDKePq0JFRVFGXuNU9o3TrcLplDL2mnRq+LmxN+4f++K+GbwyFsA+//zzuPTSSzF79mwA\nwNlnn43LL78cr7zyCubPnw9RFOHz+RIe4/P5UFlZmdbrtLUF2WjdhiRJRGmph/unj3xtIXzv6hkY\nN7wULS0dAIBbvmKV3ER/7qt09k0wrCEc1vr9mnRq+LmxN+4f++K+sa/ovsm2jAWwhmEktd9RFAUA\n4HQ6MWnSJGzfvh3nnnsuAKCtrQ2HDh3CrFmz0nodXTe4VruNcf/0TTCsQRKErP7uTmXf6LoB3TC5\nDwcYPzf2xv1jX9w3g1fGChUuvvhivP7669i8eTN0Xce2bduwevVqXHrppQCA6667Dk8//TT2798P\nv9+PFStWYPr06Zg+fXqmhkCUtxRVh8sh5XoYECBkpNSHiIgom9LKwM6cOROCIEDTNADAG2+8AUEQ\nsHXrVlx11VVob2/Hz372M9TX16Ompga33norrrrqKgDAtddei8bGRixevBiBQACzZ8/GQw89lPl3\nRJSHWv0Kir2O3jfMsvg+sK3+MMqKXbkdEBERUQppBbC99WxdvHgxFi9e3O39S5Ys4eIFRCloumGP\nDKwAmLBKGm5/5AP8/q6Lcz0kIiKiJOw/QUQxgmCVEKicFEFERDbGAJYox1TNsFffVROcFEFERLZm\no7Mm0eCk6QYcNmnGLQoCDNOEygCWiIhszB5nTaJBTDdMSJLQ+4YDITIMhQEsERHZGANYohzTdAOS\naI+PogCrC4Gi6bkeChERUbfscdYkGsTufvJD+PzhXA8DgDWJCwBUlRlYIiKyLwawRDnWEdLQ0BLM\n9TASsISAiIjsjAEskQ1oNmtbpbKEgIiIbIwBLJEN6Ia9lm9lBpaIiOwsrZW4iCg77JSB/aSuEZ/U\nNQIAXl6zD20BBTd9eWqOR0VERNSJGViiHKsqdeFrC8bnehgp/WPDQby/7Xiuh0FERJSAASxRDpmm\niVHVJbjgzJG5HgoREVHeYABLlEO2WsSAiIgoTzCAJcohVbPPMrJERET5gmdOohwKhjV4XPabS/mf\n35mDkUOKcj0MIiKilBjAEuVQIKTB67ZfACtJAn70zTNzPQwiIqKUGMAS5VAgrMFrwwysJIqoKHHF\nfjZNe/WpJSKiwY0BLFEO/eq5LbYsIYifWOZ2SrZbaIGIiAY3BrBEORaf6bQLWewMYL1uGSpX5iIi\nIhthAEuUQ7MmVGHWxCG5HkYSSew8NHhdDGCJiMheGMAS5Yid60qjJQSP/HABJo0qZwBLRES2wgCW\naABouoENO08k3BYMa/DYsAMBAMiR3rRetwynLELVGcASEZF9MIAlGgCtfgWP/21nwm0hRYfHac8A\nNp5DFpmBJSIiW2EASzQAFE1PcZsBh2y/j+DPbzwv4WeHLDGAJSIiW7Hf2ZOoAKUKAFWbBrCja0oS\nfnZIItQUATgREVGu2O/sSVSAUgWwiqbDacMAtiuWEBARkd3Y/+xJVACUFAHghzvqEQzbP7PpkEUc\nOdmBsGL/sRIR0eDAAJZoAChqcvD35uYjOHCiLQejSY9DFvHiO3X450eHcz0UIiIiAAxgiQZEOEUA\ne/roctz61TNyMJr0OCIttdo7lByPhIjo1D32tx1o9AVzPQzKEgawRFl079Mf4dX1B7Bq3YGE21VN\nx4nmAEqLnDkZVzqcDuswoRn2XXiBiKirD3fW42RrKPbzfz67GcGwlsMRUSbZvwklUR7bd6wNHpeM\noyc7EjoO7DzQAp8/PzKaDlkCYC3GQESUT+KPW3uPtFr9t10MfQoBM7BEWbb9s2YAgNspxW4LhDXc\n/JWpuRpSWiTRWlZW11NnYD/a3YDVGw4O5JCIiLplmibqmwMAkJRx1flFvGAwgCXKkpCSeOCMLxdQ\nVB1el2Ogh9QnpmkFrrqReOAPhjW8t+0YNu6qjwXpRES59kldI5Y9vgEAoKjWcSt6HAuzJWDBYABL\nlCW3PfBuws+l3vgA1ojVluYLrUsGtqEliJX/2A3TBGQpv94LERWukz6r7vWCM0fEVkFsjNTCclGW\nwsGzDtEAePyOCxMWLVA0HU6H1MMj7GPSqHIAyTWwHSEVACCKAgyDWQ0isodQpGygutwTy8C2RuYc\nRH+m/MdKZqIsmjdzOG76cnKta1g18mIVLgAQBasG1jATM7Abd9Vb94sCdHYoICKbCEUWXamu8OBo\nYwcAoLk9hAkjSuHzh3M5NMqg/DiDEuWp+CVYhUggCFg1sK48ycBGSXHjB4B3tx6HIFjv0SFL+Mu7\n+3I0MiKiTiFFg1MWMaTMEzsGN7eFUV7iwu/+d0eOR0eZwgCWKIOeeX0Ptu1rjC1cMGtiVcrtFM3I\nmxKCKKFLAAsApgl0BFVIooC/r2MnAiLKLcM00RHSMH5EKTxuOXYsPnLSj+FVXgDAofp2tAfyo40h\ndY8BLFEGfVB7HB/urMeJpgC+8vmxmDNtWMrtFFXPq0lcy78zJ+m2WROs4HzfsVb4g+pAD4mIKMF3\nH1iLW1eswabdDVh67ZlwymIsA9sRVGOdX36+chPe23Y8l0OlDMifMyhRHqgodWP9jnqEFA3eHppl\nK6oOp5w/Gdhhld6Utw8td0PTTdQdbR3gERERJQoreqxbiiSKcMoSlLhlvE101upH62QpfzGAJcqg\n4ZVeTB1TgeNNAbic3Qeomm5ClpIvyeeb6WMrE37uOtGLiGggxC9YMKTMDcBaBluJZGAFQcDk08ox\nYWQpACQEtpSfGMASZdiugy14+vU9PXYZME0zZU2pnTW2BpMWZzBMoKbSG1utS2WLGiLKgZO+YOz/\nNRUeANYqgvErCE4YWYZrL54EoPuVBSl/MIAlypJoUBdlmiYON/hx06/ezrvgFQCOnOzAwRPtMEwT\nhmEF4IZpotgtQ44E69HesEREA0lRDZwx3roiNKyqCEDnxFNVM2KTucqKrQVlVJ0Z2HzHAJYow847\nvRoA8LlpNQm3Ox0S3tlyBEDnsob5JqTouPm+d6Bq1kpiQ8vcGDm0GLIooMgt46lXd+V6iEQ0CNXu\nb0Kx25qk9eU5YxLuW7XuM+w62AIAKCtyAbDaAK7+kJ1T8hkDWKIM+9YXpwDoXAAgqtjjgEOW4O6h\nNtbuohMfwpo1Ce2K88fh2186HUuvPRMXnjUydpIgIhpIOw40Y3RNCQAkdHgxTDOhxZ8jrrSrvrmz\n7KDQbNvXiA07T+R6GFnFAJYoQ6zL6uh2gQKPS0Z7QEk4gOabpjZrPfH2gApH3Eli7LBSlBY5czUs\nIhrkxtSUxEoIZKnz2ORrt1beWjR/XOy2p35yEQCri0qhqt3fjFUfHMj1MLKKS8kSZcDHe0/iyMkO\nuJ0SZEnEQz+Yn7SNxyWhtUOBJAoQxfyrgQWAY5FlGds7FLi6tAHLz3dERIVA0fTYl+j4JEE40oVg\n0mnlsdsEQcBPrj+roNr/6YYBVTPgdlphXZFbRiCs9fKo/Ja/qSAiGzlc78df390fa9lS7HEkbeNx\nyWiLrP6Sr1nY5kgG1h9Uk96DnKfviYjyl6YbaGkPW3X5soizJg1JKN/SdeuY3PX45HHJCBdQ15T/\nff8z/NeLW2M/dwS1pInEhYZnHKIMKPFaAeuuA93XgHpcMto6IgGslJ8fPX9QhdspoT2oJq0kNm/G\ncEw8rSxHIyOiweiD2uNY9vh6qJoBhyzie1fPTLhfN0xcdPZIjB9emnC70yEVVC/YUFhHa0DF46t2\nQNMNHGvqwORR5fD5w7keWtbk51mUyCZM08R//7UWociB8NavTu92W49TRntAhc+v4IPt+Vlc7w+q\nCCk6nnl9T9IkNVkSY7OAiYgGQjCsQRAEfLy3EZKYHNLouoGyImdS2daQMjcaWgpnEpcayTRv2FGP\nE80BjB1WguFVRbF5C4Uo7QD2vffew/nnn4+lS5cm3dfQ0IDbbrsNZ511FubNm4cHHnggdp9pmnjw\nwQexcOFCzJ49G7fccgsOHz7cv9ET5VhHSMPmPScRCuu4buEkTB9X2e22Hlf+dh+I6gh11lS1B9jz\nlYhyK6Q7nxMpAAAgAElEQVToCPewLKwoCjCM5LaFsiTmbTvDVIJhDdEYXVENuF0y3A6px99Nvksr\ngH3yySexfPlyjB07NuX9S5YswahRo7Bu3To888wz2LBhAz788EMAwLPPPotXX30VTzzxBN555x2M\nGTMGS5Ys6fcbIMqllsgM17CqY+aEqh4XKHDGdScYXuXN+tiyQdU6a8bCBXT5jYjyU3QJ2XFdSgSi\nJFEo2CWu39p8BLc//D4AIKzosSxzIKTCJYtwOaWCPk6nFcC63W689NJLGD16dNJ9GzduxJEjR3DH\nHXfA4/Fg3LhxePHFFzF79mwAwIsvvogbb7wR48aNg9frxe233459+/Zh27ZtmXknRDnQ0m5dnmkL\nKHB30z4rKn7S0/ULJ2d1XNnwxc9Zn/svzbH+rSor3BY0RJQfWv0KTh9dDllKnTwQBAHGKczV0g0j\n7zKyH+6qR2uHghffrsPWfU2xpbwfeHErjjR2wMUMbKcbbrgBxcXFKe/bsmULJk+ejAceeABz5szB\nJZdcgpUrVwIAwuEw6urqMHXq1Nj2RUVFGDNmDGpra/sxfKLcam6zMrAbdtTH2pd0xxkJYCVRgDsP\nywm+cfFEAJ0LNHRd7YaIaCBpuoF120+gxOtM6P0azyGLULTUQZwsidAitaO/fWkbXt+YP2WNhmmi\n7ojVBuy1jYcAIOF9GoaJoeUeFHsLd15CxvrAnjhxAh9//DEuuOACrF27Fh9++CGWLFmC0aNHY8aM\nGTBNE2VliTOUy8rK0NKS3so9Up7O3i500f0y2PbPpt0Nsf97PXKPJQRul/Vxe/zOiwa0jVam9020\nNUuqtlmCyHZa6Risn5t8wf1jX5IkoqE5gBKvA4ZpwiGLKY89Z4yvgrOb+1xOCYZpHbOOnPRj4mll\neXP86ghacxCu+PxYrFp3AD/71rm4//mPY/efPqYCk0eXd/fwrBqoz0vGAljTNFFVVYUbb7wRALBg\nwQJccsklWL16NWbMmBHbpr9KSz39fg7KnsG2f/YcakF1pRfVFR5UVqa+OhElOa1vwtVDSwZiaEky\nsW/OnVqDMSOtg2JFRVHS/U6HnPJ26tlg+9zkG+4fe3p/3Wf4t6+fiTc3HYLHLaU89nzvm2cBQMrk\nQkmxC54iFypK3ZAlES6XI2+OXyHdWlTmO1fPwqp1BzB75giEnv4odv+ii/OvTC1dGQtghw4dipKS\nxBPzyJEjsW3bNpSXl0MURfh8voT7fT4fKiu7n7WdSltbMNaYmOxDkkSUlnoG3f6ZOXEIjjcFMLq6\nGC0tHT1uG61F6m27TMvkvvn+1daX0T/89Asp34eiagP+/vLZYP3c5AvuH/uSJBFtHQqGV3hw+ZzR\nkEQh7WOPaRg42dgOQddRUeLCC29+isvnJM/xsaODR1twzUUT0dLSgT/87Avw+QJwSGKsnVYuj8PR\nz022ZSyAnTBhAp566ikEg0F4PNbAjx49ihEjRsDpdGLSpEnYvn07zj33XABAW1sbDh06hFmzZqX1\nOrpuQNN4ILGrwbR/VM2AJAioqfBA007lfZuYMKI0Z7+fTO+bVK1pYAJK3GxYOjWD6XOTj7h/7CkQ\n0uCURVQPsbKm6e4jWRQRCGnQNANFbgemjCrPm/189GQHqss9sfEaMHH/kvPx/d++B49Lypv30R8Z\nK1S4+OKLUVZWhl//+tcIBoNYv3493nrrLVx99dUAgOuuuw5PP/009u/fD7/fjxUrVmD69OmYPr37\nxu9EdtYeUFBS5MSSr83A1RdM6HV7SRTxs2+dOwAjyx1JEvHRnobeNyQi6qdgWIPb2fcJsbIkQNc7\nv4j357kG0rtbj+FwvR/eLpOBiz0O3HfrXDz8wwU5GtnASisDO3PmTAiCAE2z+q698cYbEAQBW7du\nhcvlwpNPPol77rkHc+bMQVVVFX7xi1/gnHPOAQBce+21aGxsxOLFixEIBDB79mw89NBDmX9HRAOk\nLaCg1OvodvbrYNTUGsLv/ncHPje1JtdDIaICFwip8Lj6fiFZEgXocVeSpEhXgoP17QiF9R4XpskV\nRdXxh9W7Uep1YO4Zw5LuH1o+eOq109rzvfVsnThxIv70pz91e/+SJUu4eAEVDJ9fQXmxK9fDsJXo\nsoXRdcmJiLIlFNatTgJ63yaIx6/SZZomXA4JiqrjnS1H0eAL2jKAXf7MZsybMRzv1x6HyzG4j7GD\n+90T9UOrP4yyYmeuh2Er50wZilHVxWjxh3M9FCIqYNHAU+yhdWFvJFGEbhjYe8SHrfua4HRICKsG\nBACw4ZoGR0/6cajBj/NnWJlXVy+L5xQ6BrBEfdTKDGySxZdOwcwJVVAKePUXIsqtYFjDt5e/hZCi\n9et5xEgJQVOrdeVIjgS0EADThhHs3U9tBACMqrZaNpZ4B3cChQEsUR/5/GGUFQ3uA0gqToeEcDcr\n3xAR9cfxpg7824PvArAm0vaHFCkhcDkkfPtLp8cC2g9qT9gyA1seueLndsn40pzRcOXJpLNsYQBL\n1Acf7W7Amk+OoaKEGdiuXLIIRS38Fi5ENPDijy1SP9v1RSdxqbpVsy+JAvyRFa5sGL9ixJAiPPSD\n+RAFAddcODHXw8k5BrBEfdAWULBg1vAel44drJyRiRBERJkW3zVA6+PkrahoxlVRDTgkEZIkxMoJ\n7KapNQS3U0axx5HrodgGA1iiPgiGNcybOSLXw7Alp0OEMgiaaBPRwAvH1b3qRv+OM5Io4JG/1ELV\ndDgdIkRBwLFGawWr/cfa8OZHh/v1/JkUDGsYVunN9TBshQEsUR+EVQNOtolKySkzA0tE2RGKO7Zo\nWv8ysGbk4VbbPwmSKOBvHxzAz288DwCwta6xX8+fSWFNH/Rts7rib4OoDxRVh3OQtzDpDksIiChb\nwpEOJ+XFTgyPLCHbV9FJYEpc3+rSIidGDrWet9hGs/wVRR/0bbO66vsSFkQ2FgipON4cwIQRZRl9\nXsM00dwWgqIxA9sdl0NEmJO4iCgLwqqO0TXFuOnyqTh72nD4fIE+P1drR2cA65RFazKXJEISrWO7\nxwaz/A3DREjRrKt+NhiPnTCApYKz8h+7IMsi3tlyFL+/6+KMPa9uGLjl12tiP39twfiMPXchcTok\nKGyjRURZEFZ0XHvxJIwfUdbvSbQXnDkCH+6qh6LqcMhi0gqChg1aEXy0pwF/fG0PvnXZFGZgu2AA\nSwVn464GhLNwCbvRlzg71ePiwSQVJ9toEVGWhFQ9Y/1Ph1cVYdqYCrQHVDhkEZpuQJY6A9hsnEfS\nFQhpCIU1hFWdHQi64DVQKjjRFVQyvchAtD/gf31/Hh76wfzYZSZK5HRI2L6/CYGQmuuhEFGBCWe4\nFtTtlNEeUOCUJQTDGtyRxMTDP5xvi1p+VTcgyyLCKmtgu+IZmApOaaTwftzw0ow+bzSALfE4+E24\nB06HhEMNfuw80JLroRBRHlNTlCKFVB3uDNaCup0S2gIKHLIIf1BDSeTYXuR2xLoU5FI0K6wwgE3C\nAJYKTlGWgkt/UMV3rzqDixf0Ijq5Ld3fk2GHgjMiso1/XbEWwbCWcFtYyVwJAWAFsNESgmsunICv\nXzghY8+dCZpmwCEJVgaWk7gSMIClghIMa4AJLP/OnIw/d0dIQ7GbZeO9cUZ6Faa7yuPNv37HFjVn\nRGQfJ31BmHGp0ExfSnc7ZXQEVciSiNOqizG8qn+tuTItFGnZGFYM9oHtgr8NKiirPjiAg/XtsRVL\nzAxeA9r+WVPWsruFJFob3JdM9UlfMNPDIaI8FlJ0/P7VXXh94yEAwOY9JxMmWvWX2ynZeuXAfUfb\nMHZ4Kd746DBLCLpgOokKSrHXgbMnDwWAWFuUTCw4YJgmTvpCGNHPxtmDSV/muOn9XNuciAqLrhto\nivTeNk0T08dWZPT53S57h0EhRUN1uQcAuHhOF8zAUkEJKTquPH8sAMDllBBSMnNJ+uCJdpx3enVG\nv/kXur4sUx7tIEFEg1u0Jl6NfKkVBEDTTXgyHHBmckJYNoiCgBZ/GACYge2CZ2MqKG0dCkoj7bPK\ni11oaQ9n5HmPNPgxuro4I881GHzl82Oh6ckRbIMviJX/2NXt4+ww65eIcq/BF4THJUPTDZgmcLSx\nAytX78p4EOeweVJCFAUEQlrs/9TJ3nuOKE3tAQUlXqtOdWi5O2M1lcebAiwfSMPIIUXQ4lKwf35z\nL9oDCu763Xq8t+14wrYnmgNoiOwnBrBEBAB7DrVgTE0xNN2Ayynh6MkObNhRn/HL6LLNlwQXBQGK\nquOq+eNyPRTbsfeeI0qTbpixSUTlxa7YWtf91RZQUFac2YURCpksCQn1rG98dBhNbaGU2/7pjU/x\n8jt1ADI76Y6I8tcfX9uDsmIXVM1AfN7RmeGZ+HbPwAqCVRrnlFk+0JW99xxRmsS4me+lXifaMhDA\n7jnUgnXbT8DjtHexv51IkphUQtBdTawsidAiwS7jVyKKEgWrkb8gCLFju6Zl9iAhS7m9LG8YJjbs\nOJF8u2li39FWCILVA9Zh80xxLvCMTAWja/bO5ZQy0ld0464GAKw/SocsCbGgNMowTcycUIWuv0VZ\nEmKT7TiJi4iiZk0cgua2xHkMPn9m5jVE5bqEIKzqeHzVTsyZPizh9vYOBfc+sxmA1VHHyQA2CX8j\nVDBaOxQEQmrsZ2ekjVZ/nWxlb9J0yWJyBvahl7fhpC8ISRKhx6VjZUnE9s+aATADS0SWWROqMKam\nBC++UwfTNGFEDg5ShjOmYo5XVoweJ+MTMIqq4/ZHPgAA3PyVqVA1Aw4uYpCEvxEqGM+8vgefHmmN\n/eyQRSgp1tJOh24Y2L6/ub9DG3TkFCUE/qCKE80BuBzW0o1R8Sck1sASUfSS+dAKT6wHapSe4SWn\ne3u2bB+Toleq6ls6EyXxk4/HDS8FANbApsAAlgrG0HIPvnvVGbGfnbLU7wysP2i1L7nrX87u1/MM\nNlKXSVzRENUhiXA7JfzokQ9iWdj43rqMX4mouS2EylI3REHAiCFFsVX9po2twBnjKjP6WpUlLvzw\nmpkp7xOE7B+Tol/0f/r4hthtTW1hzJ0+DD9bfA6GRhcxYAlBEtbAUkFoaQ/jn5sOY8V5o2K3ORz9\nLyFoDygYXuWNfQumU+OQxIQ2WpWlbjS1haxVbyLR7D1PbcTQck/sAA0wA0tEVtvC4VXepNu/OHs0\nzhhXldHXkiURMycMSXmfJArQDTOr8x803cCsCVWxxQoAoKU9hHOnDMWEkWWx0glO4krG3wgVhDc2\nHQaAhFVaREHo97fnuiOt+PKcMTx4pEnqMokrutqN2yHBHenjeLwpgG37miDFnRzsuyI5EQ0Uf1BF\nqddqWxj/pXagL6NLkhhbESxbNN3EadXFqCxxx25raQ+jvMQFoLNGl8vIJuNZmfKeYZh4beMhAMnL\nAvY3o3eyNYixw0r69RyDUdca2OjBV5IEzJxQlbRtDBOwRINeWNHhihzLTViX8oHMT+DqjSgICRNO\ns0HTjaRetD5/GBWRADaKJQTJ+BuhvGWaJkzTjHUJeOSHC2K1UpnwyF9q0epXUOLlAgbpcjkkhBQd\nDS0BGIYJjysSwIpiUiZB5iQuIooTUrRYACvASlIsvnQyhlcO7GqI0RKC3vzl3X19PnZpupEUmLd1\ndGagoxzMwCZhAEt5a+0nx/Cfz23Bjs+acetXp8PrTl3S3RZQ+nQZaMunJ9HcFkooS6BTU+x1wB9Q\ncddjG3CiOYCyIiubIEtCUtsaKS77kOWrdUSUB0KqDndk4RgrAyvgorNP6/YYny2iKJzSuWPT7pN9\nWvXRMEzsPtgCb+QcE613Nc3kultmYJPxN0J56+nX96DuSCvaOhRUV3hSbiMIAm5/+H18UteYcHtL\nexjb9zf1+hqtHUrOV2rJR1b9sXUwPtbYgWKPAw/9YD4kSYhdDox+MUg8QTCCJRrswooeq5U3zdwt\nInMqGVjTNNHSFsKPIn1b0/Hff63FX9/7DCVeJ9wuCaGw1fYx1ZVEBrDJ+BuhvNceUFHiSX2Z/5O6\nRpimlU2Nt/Ifu/DAi1u7fc4DJ9oAAIGQltGyhMGosTUEr1tGsceB8cPLMKTMg6/OG4cVt30egNW0\nO4oZWCIKxdXAGqaJXB2CTyUDG1L0WICdbhnBx3utxEppkRMep4w9h1qgqHrK53GwD2wSBrCUlxrj\nGj13hFQUeVJfWhpSZs3sXLf9RMKkot6C0s17rIC3L5eFyBKMLA8bCKtwRbIp1y2cBK9bxlfnjYt1\ndvjseBu+cdFEAKyBJaJIBjYawBpmQqeSgXQqGdimthAuOmskzpkyNLbt2k+OJl3160mJ1wGPS8bD\nf6nF7kO+lNvwSmAyBrCUl3YebIn9P7q6Uypz49aXju8JO7qmGIDVMDuVptYQLo3rKUvp6wipkCUR\nwbCesg2ZLIn48bVnYvchX+ckBsavRIOaP6hiy6cnY91J2gNqrEZ0oJ1KAHussQMjhhTBIXX2Hf+g\n9gQ+2t3Q6/NPHVMBIJKBdUXPYalfj1cCkzGApbz15TljMG/mcLQH1G4/3PGBkxIXwEZrjT7cVZ/y\ncSFFH/AJA4UmFNZR7JERDGvd9tGdMrocQGcrrYf/Upu0BC0RDR4HjrclhHDfumwKLp87NidjOZUS\ngvaAitIiJ2RJhBo5djkdYsJysN2JJl68LhlHTnYAAFTNTDqfLVowvi/DL3gMYCkvhFUdP3vCWmrP\nNE38YfVuzBhfiTE1JWjr4TJ/fI/R+FpLRdNx/oxhaPRZGdhbV6xBWyDxeb48Zwwe+eH8TL6NQSWs\n6ihyO3oMYCXRuj3+8piiMoAlGqzaAyr+9crpsZ8nnlaGqjJ3D4/InlPJwAbCGrwuGQ5ZhBZJklRX\neFF3pLXHxx2qb8cndY34z+/MgSAIsSD1RHNH0rZXfH5s395AgWMAS3nhWGMHjjcFAAA+vxVoVld4\nUVrk7PEAEwirAIBijyMhA6vqBq44f1zsG7OiGfAHVPiDKtZ8fBSGaUKWRHjdjmy9pYJ32tAiSJKA\nkKInNeruKv6LRjjuiwYRDR6b95zEE3/fibHD7bF4jCgKsdZWqeiGgUBIhcclY+8RH379548BWB0D\nhqVYCjfeoXo/AKCm0tquutyDh384H/uPtbHe9RTxGinlhY6QFYiqmoGGlgC+NGc0KkpcKPH0HGAe\nON4OAPjCOadB1ToDI1Uz4HXJsW/MAPB/n/wQo6qLcbjBn7Oaq0Ly/a/PxI7PWvDq+gO9LsXbXaac\niAaP401W9rGmoufgb6BIogBd7z6A/e+/bMcndY247HOj0dASjCVJwqre69Kv/qCKn1x/VsJtRW5H\nrDMB9Y4ZWLK9x1ftwAMvbEWxx4F/XbEGja0hjB1WCsC6vHT/v53f7WNHDrVWbnHKYsKlaV034XZK\nCRO7AOBwg/WtODrJi/rO7ZThcog9lhBEyXGzjJmBJRqc2joU/PtNn8v1MGJEseelZI83W1cFPS4Z\nn5tWE+ttrah6txOLo/xBFUXdJGDOnDikjyMeXBjAku1F61SHlluLFRxt7EB15P+yJCatGR3vmxdP\nAmBN5lK0xMBIlkTohhnL7gLAxJFluHzuGAwfMrBLFhYqt0tGY2uo9wC2m8l2RDR4vLn5iK0mz1oL\nsiTf/vaWIwCAjqB17nDKIm768lRMGVUOwzARVg04HT0f8/xBpdsriJ+bWt2/gQ8SDGDJ1l7feAjH\nmzrgdIgYVW1lRddvP5FWhvSBJefD6ZC6nRzk8yuI5v+KPQ58bcF43HDJ5P4OnQCMri6GbphplRD0\nZdlfIsp/E0aU9piQGGhC3IqCUYqq49l/fopASI31qo12DTBNE7/+0xarDZjYWwCrpczAnjlxSCxZ\nQz1jAEu2FQhpeOHtOsw9Yxgevf0CjB9hlQ20dihp9cQrL3ZZJQRa6kvTbR0Kpo21+vGNqi6GIAjs\nuZch0cC090lcnb9vLmZANDgVexy2OvYKAvDZiXY0tna2xIoublPfEsTomhIsmDU84TGf9tJ9ALAm\nfwXDWsIX96jvf30mJows6+fIBwf75OqJujjpC+JzU6tx3RcmQRAEVJZa38yvXzgp7edyyBICcaUC\n8Vo7wvj8jOG4/Rtn5mzJwkIVXWIxrQws41eiQclOwStglRC8vGYfWv0Kroucd/xBFcMqvfiPP36E\ny+eOwdUXTEj7eZ97Yy92xS3GQ33DDCzZVkt7GKeProgd1M4YVwUAqCpNvyegyyF2W1vZ1mE1ohZF\nZl6zpbd1vOMnPDADS0R2EJ1bGn9M6gipmD6uEkDyF/PPTrQn/NzdsUzt5mogpYcBLNlSe0BBS3sI\n5V3qoX5+43mxg0c64idxfbizHsGwFrsvpGjwOHkxIpt662sYrSUDAMM08Zd392d7SEREPeqsbbWW\nHW9uC6GpNYQRQ4qw8JzTMH/miITt4xfVEcXUE8AAoKzIhX//P/bptpCvGMCSLf3gofex5dOTqOwS\nwI6uKem1v14qTocENTKJ67G/7cCnR3yx+8Kq3uslbuqf3lrKuOO+QJgm8Pd1B7I8IiKyE90wbFfC\nFR2PIAB/WL0bf35zL/742h54nBKuv2Ry0oSzay6yygkERFtwpY5gw6oOdx/OY5SIZ22ynf95z8q+\n7TjQkpSB7SunLCKs6dB0AwIQ+2asGyZWbzjEADbLevv9xrecYRcCosEnrBhwOe0V1IlxEbVumLGA\ntLvjWXQBnF/dOheSKHR7LNN0I6F1IPUNf4NkO3/74EDs/72ttHWqHJEMbDCc2LrE5w9b9/cyS576\np7faYlGM70KQ7dEQkd0EQiqKXPZaulvoEsBGJwKn6h4Qf/vQcg9EIXUG1jBNrP3kWLfPQaeOhX9k\nO16XjEBYww2XTs7YpCqrjZaBkKLj3NOrcfmcMQCAsGLVxTIDmzunDS1OyHT0tPZ4LpmmlYHhiYco\n8wJhDR4bLWIAIKGkQTes8weApBUco+LPI5IopDyW1UdW7+I5p//S/g2+9957OP/887F06dJutwkE\nArjwwguxbNmy2G2maeLBBx/EwoULMXv2bNxyyy04fPhw30ZNBS3axPnis0/L2HM6ZQmKpiMY1lDs\nkVFVZnUyiF665sEke35969we74+fzHDTl6fatgvBh7vq8f9+v/GUtj3RHMC7W4/hSIMfLe3hLI+M\nKP91hDQU2SyAjV4ZMmEtPx4IWZN/o4FsV1LclaTuamCb2qyVJXnVr//S+g0++eSTWL58OcaOHdvj\ndg899BACgUDCbc8++yxeffVVPPHEE3jnnXcwZswYLFmyJO0BU2H79LAPB+vbe98wTU6HCFU10NAS\nTGjD9cXZowF0f0mI+m9IGqvKCIJ9+8D6AyoaWoK9bwhg3fYT+MPq3bjn9xuxihPSiHoVCKm2WkYW\n6MzAaroB3TChagbmzxyOGROqUm4fv9pjdzWwja1WABtfNkV9k9ZZ2+1246WXXsLo0aO73Wb37t14\n9dVXsWjRooTbX3zxRdx4440YN24cvF4vbr/9duzbtw/btm3r28ipIHUEVYypKcEPr5mV0eeVRAGb\nPz2JrXWNmDlhSOz2z58xHL+/62JmYG1CTLF0o10Yhply4kVHSMWr6w8AABp9QfziD5twMK4fJM9T\nRL3rCGnw2qwGNlratPaTYzjW2AHTNDFjfBXKipwpt59wWhm+//WZAKykSKp+r8cbA0m3Ud+kdda+\n4YYbUFzc8xr0P//5z/GjH/0IJSUlsdvC4TDq6uowderU2G1FRUUYM2YMamtr0xwyFbK2gIIr543F\nzG6+4fZVtJa2qS2E8uLUBx/KPUG0bxeCUIrWNyFFw/f+6z28snY/nnl9D/781t5Y8BotjeDiGES9\nC9iwhKDrJC5FM3q8Wldd7sGZE60ESWmRA22B5NUfQ4qGu/7l7MwPdhDK6F/L888/D0mSsGjRIjzy\nyCOx21tbW2GaJsrKEtf3LSsrQ0tLesupSbzUa0vR/dLf/eMPqhg7vDRrLUZU3YBjkPXfy9S+ybZ/\nvXI6JKmzbsxubWYUzYDbJSeMy4grb33n46Ox/2u6gbHDS61tzNSZWyB/9s1gxf2TPaZpor4liGGV\nXgBWYFda7Dzlz/1A7JuuY1E1q9XXqYyxvMSF2v1NOH1MRcLtumFm9RxnBwP1eclYANvU1ISHH34Y\nf/zjH7vdJhOXBktLT72ejgZef/dPSDMxekQ5Kiq8GRpRIsMEKiqKsvLcdmf3z85XLpiID7YeQ0ix\nJkrYbT+ZgoAityNhXFo3F7FMWOMfUuZGVbm31/di930z2HH/ZN7BE22489F1WHX/VwEAmgkMry5N\n+9ifzX1TUpy8bHlFRe+fZwCorirGU3/fhe98LbEcThBFVA8t7nV5bepdxgLYX/3qV7jqqqswceLE\npPvKy8shiiJ8Pl/C7T6fD5WV6S0L2tYWhK6nbmFBuSNJIkpLPf3ePw3NHTB1DS0tHRkcneVLc0bj\nk72NWXluO8vUvhkIHYEwgpGZvs3Nfltdfm/2BeF1SVj/yZFYVqWxObmebcSQInicElpaOnDbohnY\ndbC527+5fNo3gxH3T/Ycr28DgNhno6U1BE1RT/n4PBD7JhDovMTy1F0X4//86m0EA+FTGmP0sV23\nDYQUtLcFbXVsy7Tovsm2jAWwq1atQllZGV555RUAQCgUgmEYWLNmDdavX49JkyZh+/btOPfccwEA\nbW1tOHToEGbNSm+yjq4b0LrpwUa519/9E1Z0iBCyso8lUYSiDt6/n7z47BhmbOKDouqQRPtcZguF\nNZSXuLD8mc148icXQRQEhCLBNgAMq/TiRHMAHpeVWdE0a9W3sKL3+nvPi30ziHH/ZNZTf98JLVIq\n9NGuBpw5aQiCYQ2ymP6xP5v7JlqP/+SdFyEabnYE1VN6PU0zI/8mbmsaVksu6zoN9UfGAti1a9cm\n/Lxy5UrU19fHesFed911ePzxx7FgwQJUV1djxYoVmD59OqZPn56pIVCeU1Q9qxN4HHLqWaFkH4Ig\nQDVoktwAACAASURBVNOtvwHDAOxWeihHWgoEQhqKPQ6ocZmfaFucEo8zdrv1N9f9yU7TDTz84ic4\nb8pQTBhRmsWRE9lHU1sIuw9ZV2Tf3XoMZ04aAtM0bZeVjHYhiH62v3XZFIwc0vNE9qiJI63Ps24Y\nkEQRmm7gyb/vzM5AB6m0AtiZM2daJxjNyjq88cYbEAQBW7duRU1NTcK2xcXFaG1tRXV1NQDg2muv\nRWNjIxYvXoxAIIDZs2fjoYceytDboEIQCGuoLE2uOcoUpywmBBxkP6KIWA2snVbk0g3DOolFTmht\nHQqKPQ7sOtiCC88cgZ0HWiAKwH99bx4OnGjvXKK4lwD2z2/uxRubDsMtCwxgadBwxU2kNUwTwbCG\nrfuacjii1Lq2wLvwrJGn/NiyYhcA4NNDPjzx95345c1zsHFXQ6xLAfVfWgFsOj1bUy1SsGTJEi5e\nQN0KhjV4Xdlro+KQxYRG02Q/giCgIxgJYG3UTsvXrqC8xIUyr9WCra1DwYghRXh5zT5cNX8cpo+r\nxL6jrSgtcia0gHP08qWpI2i12XE5sz+ho7VDgcshwu20V6siGly21jXC51dw9QXj8cra/di2rwmH\nG/yYM62m9wcPsExkhD1uGT6/Ao3Jk4yz2QU6Gsxa/UpW18J2SGLKpf3IPiRRQFtAAZCZriWZ0tQW\nQlWpG1ecPxa3fGUafB2dkzsEWFkkIcWKBT1lYA3DxLrtJwBYS1Nm+/3++c1P8eTfd2X1NYgA6wte\n9O/+rt+tx/GmzolMv315G443d+DyuWMxOxK0HqxvR2k3iwPkUn8XIZk5oQrRj3UwrPW8MaWNASzl\nVHtAQVuHFbDc/8InmHxaWS+P6DuutmV/laVuHG7wA7DXkrLNbSFUlrogCAJGVRfjcL01RpdTwvkz\nhkPXzYR10KMcUvcBbGvk7x6wAtj/c9872Rl8nGjGlyib/t/KjXhz82EAQIMviP3H2mL3FXscuOLz\nYwEAF0UuyQdCmi2Pz/1d7nXiyLJY0sQf4mcv0+z3F0ODyg8eeh9/X3cAmm5gxvgqTBld0fuD+qin\nFVTIHsqKnKhvDkAQrKxMLqTKlPj8CsqLrJq2EUOKcLwpgEBIxfjhpagsdaMjpKLInbwMptxDBral\nPYx5M4fjZzd+Dg0t2V9eUlGNASlVIDJNJPzdP/WqlflXVB3VFR5cPncsAGB4lRfTx1agpT0Mpw0X\nmBlVXYJLzh3V58dLkoCX3qkDgFhp1Cd1jRkZGzGApRzQdAN3P/UhAOsA9ubmI/jty6deX91Xdpvh\nSslEQYCiGShyO3D/85/kZAz/9uC7sUlYUWFVjwV/0axMWDVQE1lFqLTIiTHDStCV2MPfXHNbCKeP\nrsDZU6qxtW5gJrD0lBEm6ivTNBMCM8OwOgocqm9HWbETZ4yz+r2/tflIQja2xOvEZbNHoyOkwmnD\nDKzXLeO6hZP6/HhJFLH3SCsAYOVqlu9kmv3+YqjgBcIajp7sQDCsYXiVtaLJ0ZP+rL9uTaUHX5w9\nOuuvQ30XbfvqcuT20NTeZQ1zRdWTMkSqbkCWrAD1//vi6fjagvFpvUZLexiVpa4Bu3RqmiY8Lhlh\nla3kKLMaWoJ4KC4J4ZBFaJqBn6/chAkjylDksa5OvLRmH35y/VkJj3XKEhp9IRR7kq9g5Lv4kh0b\nlfQXDAawNOBe33gIAHDgeBuGlFlts3x+JeuXVk4bWoxvXJS8UhzZR39rzjIleuJpaQ+jvjlgXX7v\nEmhqmgFHH8tSAiENq9YdQGWpO3ZlYFZc94Js6amkIV12mmRHuVV31Moybvn0JMKKDrdTin1R2r6/\nCUrk/7MmJJeJOWQRR076MawqO8uH59KxuMlrME1cfPapt+Gi3rGfCg2o9oCC1RusAPZ4cwDlkV55\nAPCtL07J1bDIJqKX3HM9gcsfCWAf/Z9ahBUdY4eXwtmlflTTjT7XVR856Yc/qGJYpAQh1QSwbHBI\np94L+VB9O0bXJJdFANYVk//440f43Y8vzODoKF/5/GGUFTnxyF9qcc7koSjxOvHPTdYkLkUzYJrW\nF55UH2uHbHWHcdmwBrbf4t5wW0DFDZdO6VdJAiViBpYG1ElfCAAwbWwFdh/yoaLEFQtc7VgDRQPL\nLnXKB05YE8hKPE4MKfNAUXW45M4TrCgKCCl6rIQgXYGQhm99cUos47zyp1/I+nsXBAGyLJxSBlZR\ndfx85aZus6yb95yEJAn4/aus6yOr5Oamy6fijuvOwuZPT2JUdedqVf/3W9by8a0dCsqLk1tlRUto\nCvH4n+rTY6flsfMdf5OUdaZpxk6E/qCKxZdOxqyJQ/DR7gaUFTlx4ZnWZRWHXIDfwKlPcrUKl7Wc\nJfCPDQex5dOTsb9bRTXgiKvLdTsldARVyH086QbCatKiHapuoLXL5LFMMUwTTW0hGIaJE029dzw4\n2Wp90ewu2G1uD6PY48D7tce7fY4GXxAvranr24Apr7QHFEwYUYqpYyrwuanVmDrGKhO49avTMX5E\nKfYe8aG+OYASb3IA64wc9+3YhaC/qis8AIBHf7QgxyMpTAxgKev+9MZevBhpJRKdze2OXI4tL+ks\nIehrPSEVoByVEKiagXMmDwUAPPKX2s7hmGZCRwGPU0Z7UD2lEoJUWcxGXyip7daOz5px91Mb+zr0\nHjW1/v/s3Xd4W+XZP/DvGdq25Bk7cRLH2bYTZydkkUGgQBs2ZRTeAgXCCIUQUii0tLwtXfArLS17\nvaSlpQFCS9g7hBBG0pA4zt6J95KsfXTG748jHUuWbMuxZEv2/bkuLmKdI+nIj3R86zn3c98+WM06\nfLj1JB57vf11bd/fGHMBpd2pBtJCJwFsm1uAKHU9SNUNLi1diAxsXr8EU/AL2U3nT8L08flYNnM4\nSoaq7ZHdPhG//8f2mKXxMkzq/QbiDOyli8cAoBKOyUK/VZJ0Nc1uvPe1mg/lFyQYdDxMwXaWoRxA\nABEzXGRw668U2Da3oPUwB9pTGjpe3jcaONS3eGCNMaPUEcexeOerY2gOzmrWt3jw78+PwByj65wr\nCY0G9hxtwUfbTmL8iCyYDHxEvu1f1lfGDJrtLj+sZh38QuyKBYqioDUY5FJZrsHtubd241CNI+oz\ncuWy8cjPMkXcdsb04VH3D115G4hX4EK/k77KcR9sKGIgSRf6o7x1bwP2n7BDx7PaDGw4wwA8gZFT\n018r3O1uAbYYLS07Ho+OZ1Hd5NYuEXYlO9OA7fubtM9BqNNYx8/AqebTdmf3sVa8/80JWC163HnZ\nFJw1K7owuyRHBqGtTj+G5JijSm45PQJ+9eJW7Q/zhBFZaHX6Yj5vXR80ZyD9z+UJ4E+3Lehyn9HD\n1JnYMUWxOy3edH550t7/qYBhGFxxBi3eSjQKYElSfbTtpFbfb98JOz6vrMXQXHNU7cuZE4dg+BBL\nfxwiSUH9VaFp1+HmmF+uOtLzHJyeQFz7GvUc6lo82ur/k40ulBZnRwXK08bln9pBd0MKXuq3mvUw\n6LiI/OIpY3KxYPJQuH2R3cfsLj8Ks80QxMgAts0t4EhtGzzBtpiFuWY0t8XO29133J7U1tAkdXS3\nADFU+9VkiP15mV1akDILOBPt0dsXAgDOjPHFkfQOBbAkqV76YD9a2tQZGqOew9SxecjPMqEwx4zr\nzi3V9rvlgkkw6qmqG1H1xwysoih4Y/PRmItJOh6N06MGcvo4rhrodRxc3gDE4KX2o3VO3HnZFJg7\n5MDefMEkTB2bl/DXHqq7bM3Qg+dYLaB1uAXIitructVfPofD5YcnGMjaXQLys03496YjEWkEdS1e\nMFAXeV10+miMHmbFQ//cjqN1bVHPyzKMlhf5ZVVdQl8TSS+h9IDBuAJ/IDZoSBWD791E+lybJ4D/\nd+v8iPactgwDFlQM7cejIqmsP2Zg24LdtziWwZ9/vEBrLMAH61SGC+V/6uPI2w7VtxSDM7Asw3T5\nh/xHv/8EbR6h5y8ghoZWD4ryLbjvf2Zg9FAreI6FGHwt9z39JSoPN0MM1un86dNfYuWfPoOiKBAl\nGRYjj52HmtFo92qP99jrlVAA+AQR35s3CsOCnfQ6di7r6D+bjybk9ZDUYXf5e5T/fON5ZUk8GjIY\nUQBLks7rF5GdaYDdJUQFAoTE0h/vkoZgzqZPkJBp1kOUFfAcAx3HINAhFzR0GT6e4uuhGdWe/LH3\n+sXud4rD82/twclGN8YMs4FhGHAsA1GSIUoyPMHnmFU6BPMnF8IXnGn90e8/AdD+2p7aUKU93swJ\n+Thr1ggIAfW1hNIgjtc78f9e3h7zGPyChIZWD2T67Ke80EJDADh40oH/7m/sdPb8p09/iQ1fHIUt\nRm3XWE4rK0zIMRISQgEsSRpZUTA0rD2gxchrQQIhXemPFAKvXwr+Xw3sAgEJOp4FyzCQOhxPaDFK\nx1zuWIbmWsBzDAKSrM5uyp0Hsq3BqxTdlaiKl7NDVQOeYyBJai3YhRVDseK8clSMydNaLBcEq4Jk\nmnRaKkV1oxs+Qf2dSLKCgmyT9kU0VNez2eFD1dHWmMfQ5hGgKEjYrDJJjsf/vQtrnvgCgLqo7zd/\n34a/rq/E+s8Ox9xfkhQcPGlHcSfd2ghJNgpgSdK0uQWMG27DpUvUWnh2l4D6Vm839yKkf2ZgRUnG\n0ulFWmpLQJKh4znISvQilTNmqOWA4ll4UjEmFzcsL4coyfhw20nsOtzS6b7Hgh3ApDjbvXantkPT\nAo5j4fWLEEQZeTYj5pQVAIBWkzb0arKtRhjC0iNCwb0kKxE1LQ16DrlWg5aWEBIQZfA8C4Zh0OYW\nwHNsRAoRST1b9zZo/37/6xPaAsWivNiLa81GHnuP2wfs4iuS+iiAJUnT0uZHjtWIc+YUAwDu+cF0\nPH/P0n4+KpIOOs7Arnj404g/sMkgSjLGDLMhK1gHVhBl6HkWkixHNdlge/hHm+cY7DnWim17G7pc\n1BEqJZSIGdhQmsMfV87XbtPxLL492IQmhzei7maopW0op1fPs8gwqbOrOVYDhICEVqcfJxpcyDDp\nMGNCe8WEa84t1dIPQryCCJOew57jrfjHhwdQXJgBry8xaRGkdxRFQZMjeiIhVCEgIMqobfHg3qtn\nqPuH7fP7l/6rfTYtwTrG+XGUkiMkGSiAJUnT0uZDTqaxvw+DpKGy4pyInwOijMf/vSupzylKMriw\nWpSBYPtYISDHlSrQFR3PYnNlHfafdODHF1d0ul8o77RjXdZTERBlzC4dogXkgBp4L5sxHG5vIOYC\ntFXfnwqeU3NlrRY10J43aSj8AQl2lx+LpgzDtPH5uPXCye2vjWO1slohXr8Ik4GHX5BwpLYNY4bZ\n4KeGBymhuc2HnzyxRQtE//TKDoiSjAkjsjFvUiEEUYLbG0Cutf3cLSsKZEXBvhN2NAerylhMOowZ\nZkX5qJyYz0NIslEAS5KmxelHjtXQ/Y6EdHDZGWMxdWxenz6nKEVeHhdECXqegyQrvW5zHH7/UGAY\ni6wAtgx9QmZghYAUsySYKKuBSKyg3GbRg2EY8ByLPJsJT69ZDIOOhSCqi75CZbHC8RwbVUfW55ci\nauRmmnUQArG7epG+ZXepucihxXo7DzXjkXU7AKhjGRBlSLICQ3D88rNMaLR74QvmhocqcGQYdbjv\nf2b29eEToqHCmyRpTja6UBEsRURIT/RHXp0kyREBrN0lgOcY/Oi7pVEF/YH4SmiF8Hx4ANv5qm2W\nAXiWSUgOrBCQY3a3qzzUhOY2f1TjhGvPmageK8doLUB5joWe5yAEJHh9Ysz2tzqeRbPDh/ARc/sC\nMBt1GJ5vwclGN6wWfVRXL9I/Tja6tH8HRElLbynKsyDXZkSbW4A+uHgRAHKtRtidfjDBur4OlwC/\nIPVbtzxCQmgGliTNoWoH8myUQkB6rrMT0/F6Z9KeMyApUe0s9x23w2rRI88Wnef35OrFcT92aAa2\nINvUZcMOhmHAskxiZmBFKWaQbQnm4Oo7zMAunDIMAPDHlQswZWz7F89Miw4Ol6ClBXRk0quNGobk\ntFcc8fhEWIw8/vdHcwCoXcBCpbdI32u0e/Hg2q14beMhrH13n3Z7bbNHqzxR3eSGjmdxrN6JEcHK\nArdcMAlGAwevIKHNLWBIlgleQcTNf9wYc3afkL5EM7AkaYZkmSJmtAiJV2gGVlGUiNnYHYeaMTJJ\nZXs6zsAC7c0Heit0uf63K+Z2uR/LqN2KYs349lSTwxfVrjb8WHSdzCB3rG07LNeCrfsaYTHyyMuK\nDuTzsky47+oZeGvLMW28PH4RmWY1UL7mnImwWvRahQXSt3727FcQAhKaHD4cqmlDfpYRU8bk4cNt\nJ7H3uB2zJgzB/143Cv6AhLe/PA6XJwBTMH1g5sQh+Gp3PXx+EY12L0qLs/FlVT0A6jBF+h9FFyQp\nqo60YMeh5v4+DJKmGEb9T1aiyzMlqyB+i9MfFfCNH5GVkMeOp+EBoAbuRj0Xtaq/M5Is48aHPo26\n/b/7G/HIuh0YNdQatS20PiyeNriAWhu2rsUDr1+EOcYMLKDWxc0w67RuZm5fQNv39CnDYDXrqQ5s\nP/D4AqhpckcsyGIYBqdPGYaxRTbsP2FHcWFm8H3HQ8ezcHoDEVcJTAYerS4//vnhAQwfYsGeY2q9\n34nF2X3+eggJRwEsSYo2j6Dl1BHSU6GuUR0X42/ZVYtfvvBNUp6z0e7FkA4lgc5fUJKQx86xGvHU\nXYu63Y9h1IChriW+hh81TZ6Ys8S1zW71eTOjF1H++GK1gkC8ObwGHQdRlOHuJAc2JNOswy+f/xr1\nLZ5gCoEuYltbN+1mSeJVN6nvg30n7Lj6rPGYMSEf9/9wFoYPycCymcPR5PBGLLbT8yycHiHitsJc\nM1755BAAoCgvAwDwy2tnYdbEIX34SgiJRikEJCkcLgGjCqlDCzk1DKPWJu0429rc5oeeT04gxCB6\n8VgiF5Pp4pjxZFkGBh2Hd786rnXH6owoyfjF81/H3OYPyPjxxRUxL/nbgmW1elrL1ukRtLSAWDw+\nEQ63gP/ub4wKdvXBIJj0LY9PxIULS3D2nJHQ8RyWTB+ubcsw6XC83qVVGwDUL08nG9w4rby97Wto\nHYPFyCMr2DY2WWk8hPQEzcCShBMlGes+ORh3j2xCOgotZpJkBQ/9c3vEtlDR/WQ8Z7hn716SlOfp\n8hjAYPgQS1wlxLpa1e8TxIg2zh3peLbHv8ev9zR0mQpx6eIx2r89vkCXs7Wkb3gFEfnZpphfnnKC\naQVMWP0ISZJxrN4ZsfiWZRj85sbT8Kvr58RcxEdIf6EAliRc6PJneAF1QnqCYQCOYSArCvYca43I\nvezpzOGp6qvnCccwiEqb6IwoyijMMWPy6MhSdd8ebMKHW092uUr8iTsXYXh+RtzHJSsKxg63dTkj\nbQ6mDLzy6aFug13SN/7vnb2d9mUekm3CqMJM5Ge1B6um4JeO8JxZACjMMSMrwwAdz9LiLZIyKIAl\nCeETRJxsUFcZ7zzUjNsumkzf1skpY6DOtHqCxdPD/2gmYwY2VWpasiwT97EEJBllo7LBdfh9HK5x\nAECnC65Cz9MTAVGOmU/bleh0jMR0GCPxK8w2Y+q42LP5LMPg/mtmaV88AOC0skJkmnWdVo9hGAaP\n3r4wKcdKSE9RAEuiiJIctfq7O298fhT3PbEZANDQ6kXJsOjVz4TES4EaZLmCC3+G5prxh5vVElTJ\nCGBFSY5oNtBfGIZB+Edv47fVCIgSHn+9Mmrfjp3DQpodfjx6+8KI3MbeEgJSXFULMkw6GHQcZk7I\nj9pmMvBxV1cgiZFjNXZZdziWP/+YAlSSHvr/jE1Sztp39+Fv7+3rfscw1Y0ujBpmA6Au9rCaKf+V\nnDpFATiWgcevBrAMw2jNBDrOOCaCIMpRhf37AxtWOkyWFbz47j44XAK27muM2lcISDHbwbp9AVgS\nnH/qD8hxVS24/ZIK+AMSLg7Lhw3hOZYWchFCEqb/z9gk5QQkGXXN8ZXxCZGDAYesKFCU5C20IYOD\noigwGXg43dEVB5Lx1hICckp0FmKCeb8A8KsXtwIAth9sitrPH5Dwyxe+0WZrQ9UafIKIEw2uhLfi\n9fgDceW0hro6xZqt1XEsAglqDEEIIRTAkihsjALynfEJIm7540ZIkozKg024+/Evknx0ZKD77YrT\nYLPoYTHq4HBHF7/v7Zej2mY3dh9tibjN5Q0gw9T/Ods8x2irwn2Cmv/7zw8PRO3X0uYDABypbQPP\nMbj+D5+gvsUDu0tISn3OljY/SmI0Regow6TD2CJbRB3REJ5PTItc0r1Wpx8ubwAcRxMJZOCiAJZE\nEcT4Z6PqWjzwCRKO1LbBJ0iob/VCpIUapBcKss1gGAZmI4+2YAD7bdgsJMee2mnr5899BQB456vj\nePXTQxHbXN4AMoz9v7r6zsum4oKFavOEUHpAaXE2ijvUVLa7BCyeOgzfm1us5e66fIFgIJ6c12E0\nxHdOuPfqGTEXcFIKQd954e09eOHtPTCmwFUFQpKFAlgSweMLYNu+Rug6WYXakcsTwLA8Cy44fTT+\numYJhmSbsOtwS/d3JKQbPMfAG5yFDBcr77M7PkFEdaPalUiUovNdXd4AMroo0t9XrGa9Fvxxwc9g\nWzCnPPyqiMPlx/iRWSgdlaMt5PL6RLg8yQtg4z0ndHV/SiHoG5lmPfYca+3xAi5C0gkFsCTCu1+f\nQHamAbuOtERdZo3FJ0g4Z85IfGf2SBQXWnHtuaV9cJRkMGBZRivWX16SA0DNs463BWq40EzuW1uO\n4suqei04DEnmzOWp4FhGq9/p84vIMOng9bcH83aXgCyLWtYqdLne4xeT9jrmlhdiSHbnjRHiwfNs\nzLa3JPG2VNUhw6QDQ3/hyQBGb2+i2XO0BW9+cRRnzhyBy88Yi6N1zi73D4gSWtp8EYs7UikIIOmN\nY1l8WVUPAFgyrQgA8PSaxcg0qRUuREnGiQZXXI8VCF66fm3jYQCIytF0eQRYUui9y/OsFrAKogyL\niYfbqy5oEwISfIKozdRmBit+uH1qAJuM13HD8jJk97AObEc6joVAKQRJ99L7+wEAZiNPOcdkQKMA\nlmgeevlbTByZhTNnDUdpcTacnugFNOHe/OIYXv74YEQwUFyYiSdXL0r2oZJBILwTVugyefjq+sM1\nbfjF81/H9Vhyh7/jHdcoCqIMQxx1TvuKJCuQZBklQ60IiDIyjDq4fWpAe9P/2wgh0F63tmJ0Ls6Y\nMRweXwA+QeyygUF/yrTo4IyxKI8k1ld76vE/35kAjmUoB5YMaKl5piP9imNZGPXdFx3f8MVRANEt\nY1OhHBFJfyyr5rsGRBm6GKupQ+kF8QiVmcrONKDV6Y/aLklKSq3Y3rq3AQBwxowReG3jIVhMOrh9\n7SXF7C6/9jspLswEz7P4fGcNOJYFn0KvI1yWxdDtVR3Sc6IkRzS0GDPMisXTijB9Qj5MlANLBjCa\ngR2kJFnGX17bqf0cWiCy97gdgHqJNRTAHqtzYnNlbcT9FUWBLUO9dDks39IXh0wGGY5ltFXruhiz\no/4edHUKvb9njM/H8/cs1W7/5fNfY9u+BoiyHJUXmwqMeg6SrMBs5LHvuB0BUX3NLU5/RNAyNMeM\numZPVDCTSnQ6WsTVE4dr2vDcW7u73EcISLjxoU/xt/f2Ye17+yLO01az/pQWPBKSLujdPUj966OD\n2H6gCa5gXt2+Y60AgMuXjgUAGPScFiDsP2HHi+/ujbj/Sx/sh8Ml4JGV8yMu9RKSKCzLhNYxgefb\n32NKMBjtSTAUmoHtWEP2eIML2/Y3QpIV8CnUfOPKZeMAICK//K0tx+Dxq59Jjy8Q0fqWZRkwDJPS\nASzHMpAogI3br9duxebKuk5rcnt8ATQH6wF/sr0an26vhtMTSNnxJyTR6J0+CH29px4fbjsJAHj4\n5e0AgP0nHQCAs2aPBKDmH/oEEYqiQJRkiJKiLYQB1ALqv7hmFmwZvVvYQUhnuBg5sKdKCgawsdIE\nWIZRUwhSKIBdOmM4gPaSYaHWzKGFXV6/GLOslRrAps7rCMexbNwNUgY7ISw95rUONYsB4FCNAyv/\ntElL4woRJRnWDGrjTQYHSpAZRJ7ZUIX5k4fiyf9UgecYnFZWiM+Dl5xMeg5rLp8asf/wIRk4Xu/C\n+1tPoLwkB1/sqoWOZzFr4hDkWI1RxdUJSaTw2dJYwZoSZzD04rt74XAJGJJtwpzSAu320CJFSVbA\nMKmVQhC6qhH6HZSX5GDq2Dx4fGpJreY2f8yg3uMTI2ZmUwnLMtoXCdI1lzeg5Wu3xVj49uDabQCA\nPcErZyFNDh9yrDSpQAaH1DzTkaRoaPXinS+PAQBEScGS6WppIkVR4PQGtHI8IWOG2fB5ZS0cLgEz\nxufjxXf34dk398DlFalcFkm68AA2PFhjGAayokCKs0TQxm9rUNviwdLpwzGyQP3S5fGLuP3RzwGo\nJbZSbQYWAGwWPUYWZOCKYDoBoM68hspkdZxNPtHgxNZ9jeBPsVNZsqkpBBTAxqPV5UeezQgAGDEk\nI2JbqJbufVfPgMMl4PQpw3DOHPXK2cFqB2wWmoElg0NqnulIUmSa9ag62v6NvWSoFXPLC7Dx2xo4\nPdGdiDJMOhypbcONy8u04Jbn2JQr+k4GpogANmxW0Wjg4POL6sxpN48RXnEgPD71+NqbAgzLM0OU\nUy+AfeS2BcizmXDmzBHabV6/CFmWYcvQR+Weh6p/pFI1hXAcy2i5yKRrB044UDEmFwDgC0hocni1\nBXw1TW6ce1oxxhTZ8L15xbh40Wgt9aumyU1pXWTQoAB2EJBlBR8Fc14BNa8uVLs1O9OIte/tQ5tb\niApKTQYeR2raUJhr1nKyykdlw+URkEkBLEkyrpMUApOBh9cvQZS6v+x/sFrN7a5v8cQMUGdNHAKO\nZSFJcsoGfuE8fhGipGjNHMINyTIBQMoF4iEcy0CiHNi4OD0CJpXk4vKlY+ETJPzkiS3YurcRNyUW\n3wAAIABJREFUACAEZJgM6vn7otPHINOsh9Ws0xbgllBqFxkkKAd2EDjZ6MJLH+zH1LF5eOquRQAY\nSLJ6Gap8VDbe/vIYnB4hKqfOZOCgACjINmPkkEw88+ZuCKKMRocvKt2AkEQLn2HUhVUh0PNqOSZJ\nDi0w7HzlvcXYfopjwgK70PvfZtFDECUoCtKimobXL+KChSUYPdQate3mCyZBVpSIZg+phKUUgihH\n69rQ6vRj2rh87TYhIOGdr47j7DkjsWR6Ef6yvhJA+wx7QJSicsIZhsGCimHQ6ziagSWDBs3ADgKh\nUlk1zW7oeC44A6v+YZ9YnI2l04vQEqO4e36WCUNzzTAZeLAsg+/NK0amWYf/e2cvRhRkRO1PSCKF\npxCEz7SGmhuEFgS98PaemPc/UtuGh1/+FpNKctTHCAvsls8bBQDIyzLB41OrbaRq4BfO6xcxckgm\nivKjP396Had9rlMRpRAAtc1u7d9ev4j//b+t+MtraoDqcKnn4F+9uBWAmsKl4zntfRtqZCGIMnQx\nmsWYjTwWB1suEzIY9DiA3bRpE+bPn4/Vq1dHbXv//fdx/vnnY9q0aTjnnHPwyiuvRGxfu3Ytzj77\nbMycORM/+MEPUFVVdepHTuIWakEZiNGHnGEYCKIcszsRz7F48IbTtJ8vOn0MfvTdMgDAsDxqXkCS\nK3QpfHh+RuRsLKcGsKHFLPtO2GPePxQITBuvzm6FB8SnlRcCAAqyTTFXeacqj1/ULh+nG26QVyGQ\nFQX3PfOV9rPd1X7OrW5yY9VfN0OWFTAMMH18vvaFimUZcCyjpXEFRBn6FK00QUhf6tHX9WeffRav\nvfYaRo0aFbVt586dWLNmDf70pz9h0aJF2LRpE2699VaMGTMG06dPx8cff4zHHnsMzz77LCZMmIAX\nX3wRK1aswIcffgij0Zio10NicHkDWDq9CBcsHB1zuyjJGD8iK67H0vEsHlt1elpcbiXpLRRw/u+P\nZkfcruM5uH0BSJKCHKsBpSOzo+4rhhXMD/3hj/WezTDroChIi9lXQJ21MxlSd5a1K2oZrcHbyGDd\nxwcBqGsSWJZBk8OHMUVWHKpuw5vBeq4+QURBthkrzi/X7qcGte3BvyBK1GGLEPRwBtZoNOKVV17B\nyJEjo7Y5HA7cdNNNWLJkCViWxaJFizBhwgRs3arOgqxbtw4XXXQRJk+eDL1ej+uvvx4Mw+Djjz9O\nzCshnXK4/FhQMbTTygFTx+Zh3qTCuB8vXf+AkvTS2ZcknmPwyLod8AcknDe/JObVAKcnoP07FMx2\n7MIFAObgeznemrL9zeuX0vbzx7HsoJ6BbWj1AgC+2l0PQO1weNWZEyJu8/hEBDrkdPsECTaLTvvd\ntbmpCgwhQA8D2KuuugoZGbFzHxcuXIibb75Z+1mSJDQ2NqKgQC0cvmvXLpSVlWnbGYZBaWkpKisr\nT+W4SQ843AJsls4T+2eXFuD0KcP68IgI6V5nq+lDs6UOt4AcqyFmd6fwtAAxuHAoOzPyM1CYY067\nxYiyrKRtq1COG9yLuELv02fe3A1RklHf6sXQXHPEPieb3FH3UwCtUgagrmUoohQuQpJXheChhx6C\n2WzGOeecAwCw2+2wWiNXztpsNtjtsfPXOpNK3XLShcsbQI7NAC6JBc5D40Ljk3rSdWxCq647dpYK\nXT4VAhIyzXooMfZx+9vrvMqKgnNOG4mJo7IjZnX/cMs8AADDqEFxf3Sw6tHYMACD6NeaThgmvY4/\nUZ+d4/VO7DzUrP3s8YuQJBkmI48n71qMmx7+FADw6Ks7sbBiaMTvaObEIThwwq69z92+ALKtxphX\nFAaTdD2vDQZ9NSZJCWAfeughvP322/jb3/4GvT6xMxxWqymhjzcYsByLvNy+qQ1I45O60m1sWJ16\nesrOjpxtsmaqOfM6HY+sLDMMhraofQzGNu3fi2eOxPgYebIhOh0PSZajHqMvxTM2FrMeLo/Qr8fZ\nWzodn5bH39vPzuufH8V355fgirMm4KpfvAuF46DT8cjJUa9ofn/ZeKz7cD8AIDvLFPE7uuLsUhyr\nbcPG7SeRnW0Bx3HIzaUqMCHpdl4jiZPQAFZRFNxzzz3YtWsXXn75ZQwb1n5ZOicnB62tkX2b7XY7\nxo8f36PnaGvzapdSSHwCAQmtrdGXphKJ41hYrSYanxSUrmMTKv/W8b0rBzsSBQIi3C4f3G5/1D6O\nNjXfcPG0IuRn6rt8/3+9uy7m8/SFnoyNRc/haI23X44zUYSAmFbH35vPTnhptsMn7bjzsimQAyK+\nv3QsmlvcCIT9LvRhE1bb9zag9fTI35Hb7YPLLeDbPXUR9xvM0vW8NhiExibZEhrAPvjggzh06BBe\nfvllZGZGzvhNmjQJVVVVuOCCCwAAsixj9+7duPTSS3v0HJIkQ4xRDorE5g9IgII++53R+KSudBsb\nJbhopeMxTx2bh7FFNiiKuo8oKVH7hCoP7DrcHPdr7s/fTTxjo+NZ+PxSWo1hR4ocPVbp4FQ+O9f9\n7mP89KrpcLgE7DjYFMz/VVsWf727HtsPNGmPuXhaEU4rK8TKP30Gu8sf9VyKojYw+PmzX6Ewx5yW\nv8NkSbfzGkmchCUqbNu2DRs2bMDTTz8dFbwCwBVXXIH//Oc/2LFjB3w+Hx5//HEYDAYsXrw4UYdA\nYjhw0o6JxZ1fPiUkVXWW48eyjLYKm+2kOH5osdBN50/q9nnOmDG8F0fZd7gBUIYqXcqV9VaoqsW/\nPj6Iz3bW4EffLdW2OT0C3v/mRMT+LMPAHOwad+/VM6Iejw+roesJy+8mZDDr0QxsRUUFGIaBKKof\noA8++AAMw2DHjh1Yv349XC4XlixZEnGfmTNn4rnnnsPChQtx55134o477kBLSwsmT56Mp59+OuE5\nsiRSQ6sXhTmUI0TST2dVCADg24NNyA0uZIlVhSD0x354fvf5lpefMRbL0iCIVZTOg3rSN77Z24Av\nq+pw28UVXe7n9YvgWAaHa9Rc7BuXt9d1FUX1vXn3ldOi7sdzDHKt0XXRubA2vKMK+2Y9AyGprkcB\n7M6dOzvd9uCDD+LBBx/s8v6XX345Lr/88p485YCX7MLkDa1elI3KSdrjE5Is3TXLaG7zgWNid3eS\nZAW3X1KhVTLoCseyKMgxd7tffzMb+UHfirW/uTwCth9ogj8gwdDFe8vhFlBekoOdh5rxw7MnRNRt\nDXVEzLVFB6pPr1kSdRugpo+0uQXMKSvAivPKY+5DyGBD9Sf6icsbgCjJuPWRz5L6PE0OH/JinCgJ\nSXXxXG3udAZWksFxA2u28owZw/GLa2b192EMaka9OtlQ1+wB0HkDjPue+QrlwYmDRVOLIrZdeHpJ\nxGPFw2TgUd/qQSY1MCBEQwFsElU3uvCvjw/E3PbjP2/SWgsmk9ihqwsh6SKefMlOc2BlJal1j/sD\nz7GwZXTekIQknz+4OLC+1YOAKOFHv/8keh9B3SfDrMOSaUVR281GHXiOgVHf/dWBEIZR3+fUgYuQ\ndgPrDJ9ivtnbgPe+PgFJlrG5sjZq+4fbTgJA0i4LyorS7WVYQtKRXseCY5lOA1hRkrvMoSXkVHj9\nIi5ZPAYNrV4cqXXG3KfRoZZwy7MZcfV3JsTc5+k1S3o8saDjWVgogCVEQwFsksiygjc2HwUAHK11\n4rm39kRsDw8sQ9/qE/W8IXanH1kZtEiOpK+Hbp4X8/Yn7lyER29fCAPPxfz8SGnccnUwef+bE3jy\nP7v6+zDiVtfiQUlhJtZ/dhj1LZ6Y+xw46cDKiyZj3PCshD63jmdpBpaQMHSGT5JGu/ot3KDjcLQu\n+pt6WUk2KsbkAgB8Qvsf4IZWDz7fGT1bG4+texvwyxe+0X6+6/Ev6Bs7SWuxFroA6iVVk4GHQc9B\nCESXlpIkhWZgU9QNf/gEDrcAADha1wa709/PRxQ/h1vAkGx1wZ/dLcRMAzha24bRw6xRt/eWjqMA\nlpBwFMAmybF6NWhlGKDJ4Y2qNMCzLO64dAq+M3sEfIIYdj8Xnn87crY2XgerHQiIkbNROpqFIoOQ\nJCsDbhHXQCHJCvzBc54QkLH/pKOfjyg+mytrsfNQM4wGNWg9XueET5BQ29yhC5xbgM2S+CtfNANL\nSCSKbpLE6Qkgz2ZEUZ4FDpcAk4GLWYTcqOe1GVhRkuELFqk+lYLlzW2RFQdGFmTgO7NHnuIrICR9\nSTLlwKYyWQF2HWnGf/c39vehxE2WFRTlW7RZ1237G7Fo6jDUNLnx4NqtkGUFf3ltJ7x+MSkNG3Q8\nB4speSUXCUk3FMAmgcPlR02TGzdfMAnlJTmwu/zIsxrh8rYHp6Hzm1HP4VcvbkVtsxs/e/YrvPDO\nXgCAxydCkmW09uDymiwr4MJmXHMyjTD0YKUrIelIx7NRebCSFPlZIKnh24NNANRZ2D/+a0c/H018\nWp0+AGrayvnzS8CxLG46X63FWpBtxmOv78Khmjb4BBHbDzThQJJmlLOtBmSaaE0DISF0hk+Cnzy5\nBZ9sr0amWYcMkw6Ndi/ys0xwBvO+fIKkpRSE/i9KChpa1bxZi5HH65uO4OBJB1Y/tjnu51UUgOac\nyGCj17FacXgAWP/ZIVQ3ucHTDGzKSpeGDLXNbvzPL9+DLCsQREmbEJg2Lh83LC/T0gnMBh4ev4jF\n04rw1ztOT8qxXH3WBJqQICQMBbAJdtufPtP+mGaa9BhZkInmNj8Kc81weNQA1usXtctQoZwmUWr/\nA6zjWXy6vRrbgpfXYhVq74wgyvh0ezVkWYmrEDwh6U7PcxDCZmDf/OIYDtU4KIUghYUHsONHZEWc\n/1KFJMu4+4ktAAC7yx/RfUvHs5hbXqj9PH5EFnx+CRYjD7ORLvMT0hcogE0wt699QZZex2p9rbMy\nDPAGt4XPwE4bl4fl80YhIMqYNFrt3KLn1ZPih1tPomxUNhwuIa7nVhQFOZkGrH1vHwRRiquNJiHp\nTsdHzsAC6uIgSiFIXeFfyq0WPW586NP+O5hOuDwBTBqdg/xsE47VOeEXotvHWs3tl/Rd3gAFr4T0\nITrDJ8nvVpwGhmGQnWnAnZdNifgj6/NL2gwswzDINOvQ5hZgNvD4048XQKdTh2VOWQEmjszWKhp0\nxS9IkGRF6wvf6vT3qNMLIemqYwAbuvJAM7CpK3zGVc+n5p8hpyeAkqFWXLxkHB5ZtwNCQIZeF3ms\nE4uzMHm0Wg6x0eFFns3UH4dKyKCUmmeONOXxBWDQc3j27iVarUCWZTCpJBd6nsP7W0+guskd/Kbe\nXg5Fr+NQ1+JBrs0Iq1kPSVJwxozhuOF7ZeA4Bo++urPb5z5QbcfE4mzwwT8GL76zFxYjlVwhA5+e\nZyGEBbChFrIUwKau8EV3bHCcTja6ev244SUJwyk9SMMKafMIyDTr8d35JZg/uRBNDm/UDCzHslj1\n/SkAgP0n7BhbZOv5QRNCTgkFsAl0pFa9zBSrfSvLMjhW58T6jYfw1IaqiBOdjmex/rPD2grT4sJM\njBiSAZZlcObMEQC6PwE3OXwYmmvG1WdNwBXLxmH/SUdK5pURkmgGPa/VFQ1HdWBT13tfHdf+Hfqi\nEavddk+cbHThlj9+FnPbX16rxGc7anr0eE5PAFazOglQkGPGtwebu0zL8volZJpp0oCQvkIJOwkk\nKwquOmt8zG3hweTEEVkYMSRD+znU8jJ0eWrFeeVR29o8gS6LY9udfpQUWqHjWeRZjRiWZ8HMCUNO\n/cUQkiasFp3W2Qlo/7IX64sk6V8Gndr6t+poq3ZbaAbWZjGc8uO+8PYebAp2MPT6RTQ5fBgxJANe\nv4j/fH4EB07aMaaoZ92x3L4ACnLUK2mtTj9ESYZBF3vOR1EUuDwBal9MSB+iT1sCxUryDwkFsLEK\nXIdmIMYMi3356cpl47B1bwOO1zvx8+e+iurBLUoyqhvdyMpQA9yp4/Lwvz+ajbHD6XIWGfiyLAbY\ngwsdRUnW8sCTUUye9M6VZ46Luo0LjlNo9nLVXz/v8SX/TWHtt3/79214ekMVAODWRz7D+9+cAMcy\n2vsiXgFRbq8yMDwLpcXZnQaoU8bmpU1HMUIGCgpgE8jXRQA7fXw+gNh1Wvngpc7iwsyY9x0/Igsv\nfbAfT/x7F6ob3ThYHXmi3LSzFtv2NyIzuCKWYRiafSKDhi1DD7tLbfhxqJqCiJQWFkPecWkFykdl\nazOwXr+IJrsXDpeAXUdaevSwpcXZuPvKaVhQMRQ6nkN1o7rWIKTNE4iqVBFxWIqirTV496vjkBUF\nAVHWAtb5FUOx5oppnX4pmjmRrnYR0tcogE0gu8vfaQ5U6ER4rN4ZVYy6u3I/RfkWXLFsHPKzTCjK\ns2DD5qMR2//23j4A7ZfiCBlMbBYD2oIpBGZauJg2KsbkYfXl07QrUF/vbcBPnlTrrpr0PctuM+g4\nTBiZDT3PIiCqC8R+/OdNEft07NYWzu0TtS5h3x5swle767H+s8PQxVkhIVTPmxDSdyiATaBj9U6U\nDO08z2rB5KHQ8SyyMiJzvbrrGMSxLM6cOQIcyyA/y4ShuWZtW5tHQHlJDp67e0nvDp6QNGXUc1pw\noiiKlkpDUk9xYSZsnYyPX2gPMCU5/gWo4U0RdDyLgKTgvPmjovYTughgW9rUdrGKosDtC8ATrNnN\n96DE1wPXzY57X0JI71EAm0CiKHe5SvW675ZCCHSeZtCdulZv1Mn/rsc2o+pIC+X7kUGLZRktiFEU\nYGRB7FQc0v9GFmTisiVjI24TJXXsTjS4om7rjqwouP4PnyA7U50U0PEsRFGOuH9oFvWzHZ1XOWhx\nqiko/oAElzegpaToe7AoK3xhLiEk+SiA7WM+QYpqMCDGubig1enD0FxLRLBq0HHUMpYMeqHPhCQr\ntBI8xen4yPOfIEoRzQz0PBt3CcBQl8LxI7IAAKKonkvPmjUCc8sLMDTXjGUzhne7JsDpEZCdaYDT\nE4DbK6I1GNDGXLRACEkJVEYrQTw+Ma7Wlf5AdItXKc6TtY5T87sURYEoyWAY9cR9Y1jZLUIGM1lR\n4s5bJP2jYzcrISDDbOQhhLXMjjeAXf3YZgDti2SP1LZhTJEVVosehTlm2DIMMOo5ZJh4lAy1QlGU\nmFerJElBVoYBx+tdECUZrU4/CnPM1AyGkBRGZ/oEOVLbhnFxlK0aPyIL+VmR7QaL8jJw4cKSbu87\nbngWsjIM2HO8FXc9thnNDh+yMg2nnJJAyEAjywpV4EhxHVvHCqKkBYrjR2RBEGVsP9AUdymtm84v\n1760LKgYiqXThwMALCYdMkw6zC0vxC0XToYhLFe6I0lWc6cfe70SgFr39ZYLJ8FspDkeQlIVBbAJ\n4vQKca1EvevyaagYkxtxW67NiOXzuw9gb7t4MuZPHgpJUtDmCeCep75Exejcbu9HyEAXCnZkWYGC\nnrcNJX2nYwqB0xNAYXBhaii4/WJXHbz+zhddhUwZk4vZpQXaz/MnD9XSCTJMOmSadcjLMmH8iCyY\nDby2OKsjUZIxJqw7YqvT3+NKCISQvkUBbII8/cbuiH7syRC69BWeglA2Kjupz0lIOtByYBUFp9D2\nnvShjhUGbr1wEn549kQA7U1dAMDlFdCV7mZoZ0zIx9zyQu1nX0DCuk8OdnJMinYF7ZYLJsEfkGAy\n0JUtQlIZBbAJEGpjmWs19snz5dnU5zlr1oio2QxCBjNZVjB6qBW/un5Ofx8K6cTYIhv+esfp2s+Z\nZr0WLM6bPBTzJ6tBp8sbe7Y0xB+Qompqh+NYNmJB3/kLSlDXoYthiCjJ4Fh131ClFyPNwBKS0iiA\n7aWv99TjuTd34+w5I6NSA5LlvqtnAABGD+tZb29CBqrdR1vwzIYqyLK6iKsoz9Lfh0Q6wTBMVG4p\nx7L4+Q9nYtbEIZg/aSgAaA0JOuPxiT1aZFWQbUZOZvQkg8MtwOMTwXMMfnntLJgN6rFRYxhCUhsF\nsL30+c5a7DrS0mUDg0QLpRBYqPsLIQAAQZSxdV+juoiLAo+0FDqHhmZNu6sF6/aJCVlk9dOntuD9\nb06AYxmMLMiEyUAzr4SkAwpgeynUs7s/8qXMdKIlJILHL1Jd5DTH8+oABrpZU+D2BhJS5soX7AAW\nKoNIbWEJSQ8UwMbw7YEmNLTGzpXqjNXct+0rbzq/HAXZ5u53JGQQee6tPahudPf3YZBe4NnQDGw3\nAaxPhOUUZmAlWcba9/YBiFwIJgYDZr2Ow/P3LO3x4xJC+hYFsDE8+tpObNvX2O1+sqygYkwuVl40\nuc/bCM4uLaAahYTE0FXPe5L6QjPogW4D2ECP06hybUY0O3z4dHs1REnWZl8BoCif8qYJSScUAXXQ\n3R+/rXsb4A9ImD95KARRbQsb6gJDCOk/iqJg4sgsfH/p2P4+FNILUrC1tthNCkGTw4figswePXZW\nhh41zerVNZ8gISDKOK2sAGfMGB6zQxchJHXRDGwHDXYvAHRaCv1IbRuef3sPAHXhiJ7KWBGSEiRJ\ngUHHUfmjNGe16MFzTLd1tWub3SjM6Vkalc1iwKOv7gQA+PwifIKIrExDRBMDQkh6oAC2gyaHDxNG\nZMHlCeC6330cVSyb41gMzbWgzSMgEJCh09GvkJBUoIBKHw0EWRkG3P/DWbC7/F3uJ4pyl3VgYwnV\neAXUBX+/eP6bbnNtCSGpiaKvDoSAhHEjbHj36+MA1DaH4QKihCFZJtzx6Oeoa/Eg32bqj8MkhMRA\nJZAGhoIcU6dNB0JO5ZJ/+GLbLVV1ECUZp1cM6/HjEEL6HwWwHfgDEmwWQ8TP4QRRRn6WGrTWNLuR\na+ub7luEkM6FYhla2Dgw6Hiu2xzY7lrJxmLL0CPXasSq70/B9v1NAIDhfbwAlxCSGHS270AItAeo\nJgMflYclBCScv6QEkiyj0e7FkCyagSWkv2WadGjzBKg28gASmmFVFAX+gBSR22x3+ZF5CqULM806\nZGXooeNYONwCfnHNrIQdLyGkb9EMbAehygImAw9ZVhAQJXj9Ip7ZsBsA4PNLMOl5ZGcaYHcJ0PP0\nKySkv1333VIAgDkBhe1JajlY7cCbXxyLuK3R7kVhbs/rYHMsi+u+Wwodz8IfkKCj8zchaYumKzrw\nCxIMOg4F2SYcrXPiqTd2w2zgcaS2DVeeOQ52lx86noXFqIPd6YdOR1UICOlvFWPyAFB3uoGEZRmI\nkoyaJndUKpc/oJ6nT8XQXAuO1zsBgCYgCElj9OntoNHuQ67NiLt/MB25VgPqWzxagev/e2cvxo3I\nAgBYTDq0Ov10AiQkhZxKZyaSmkwGDl6/iNpmDz7adjJimxCQe3XuDc280gwsIemLPr1h7nvmS9S1\neJBh0sGg43DJ4rHIsxnh9Ym4/ZIKOFwChmSrOa9mI4/mNh/1zSYkhVAVgoHDZODh9YtR1QhkWcEb\nnx/pVfCp40IBLF1BIyRdUQAbFPqmz4b9RmaXDsHw/AyIkoxcmxF2lx/G4GWrUAGXHCtVISAkVfA0\nozZgmA08PH4RcrDaQKjqgFcQcbzBhRZn13Viu6IPnsdpBpaQ9DXoP72tTj+8fhEnGlwAENHZJbzO\noEnPw+4StLyr0uJs/OWOhX17sISQLhkpJ33AMBt4eH0i+OCsgiipAawQkDEsz4KZE4ec8mNnmNUr\nZxTAEpK+BuX1toAo4cBJB8pG5eAP/9yOGePzMXyIBZNKcqJaE55sdEGv42C16CBK7Z1fGIaBhVY8\nE5Iynli96JQX9pDUYzKqM7AAUDYqGwFRrRogBCRMKsnpVQlDlmHw+5vmJupQCSH9YFB+/axr8eLh\nl78FAEiSDAUKtu9vwtxJhVHf6pscPtQ0ubVcKZul57UHCSHJR8HrwBJKIQCAPJsJAVFGQJThD0ha\nCkBv5FMNb0LS2qALYGVFwS+e/xoA4PYF0OTw4Z0vj+ObvQ2YODIbBdmRM7A3fK9M+/fvb5qLYXmW\nPj1eQggZjEzBFAJALXflF2WsePhTbNxRQ9VfCCGDL4B1uATt3yfq1bxXnmMwZUwusjMNUfvbMvSw\nBmdd87NMp9R/mxBCSM8YdJzWCTHTrIPTo567P/lvNTLNlL5FyGA3aALYv723Dz5BhNsb0G5b/9lh\nXHPORIwbntVpQ4LS4mw8fMu8vjpMQgghAHiORSAYwGZnGtHa1l51YHZpQX8dFiEkRQyaAPaT7dVw\ne0X4xfaOLgerHcjPMsHu8iMrI3ZuK8Mw4LlB82sihJCUoONZiJIawJqNvDYDWzEml+r9EkIGRwAb\nqh/oE0QEAjJGDsnATeeXAwDybUbUNnswPD+jPw+REEJIGJ5n0eTwwWLkYdBxeH/rSeh1LG67eHJ/\nHxohJAX0OIDdtGkT5s+fj9WrV0dte/vtt3Heeedh+vTpuPjii7F582Ztm6IoeOSRR7Bs2TLMmTMH\nN9xwA06cONG7o4+T16/OujrcAgRRwqJpRRiaqy7GyrYa8PMfzsRpZXRJihBCUoWOY1HX4kFBjhkG\nHQeOZXDduaXg2EEx70II6UaPzgTPPvssfvOb32DUqFFR2/bs2YN77rkHa9aswZdffolrrrkGK1eu\nRH19PQDg73//O9566y0888wz+OSTT1BcXIyVK1cm5EV0RwimDfzt/f34aFs1XB4Bep360jmWRclQ\na0LKshBCCEkMHc/CJ4jgORYGPQenR4CeWr8SQoJ6FMAajUa88sorGDlyZNS2V199FYsXL8bChQuh\n1+uxfPlyjB8/Hm+88QYAYN26dbj22mtRUlICs9mMVatW4dChQ9i5c2diXkkXDpx0oLgwE5NLclDf\n4sGIgkxQLQFCCEldOp6FxyeC4xjYMvRwegLaxAMhhPQoE/6qq67qdFtVVRUWL14ccVtZWRkqKyvh\n9/tx8OBBlJaWatssFguKi4tRWVmJioqKnh11Dz3x710AgGN1TgDAhBFZ0PEs7rxsSlKflxBCyKkx\n6Dh4fCJ4loHVTA1kCCGREraUs7W1FVarNeI2m82GgwcPwuFwQFEU2Gy2qO2tra09eh7tEoDaAAAU\ngUlEQVTuFCsCmAyclgtrMenAsgymjss/pcci0ULjcqrjQ5KHxiZ10dh0TQGg13Hgg40LJFnR/t0X\naHxSF41N6uqrMUloLZLQav9T3d6dv72zB1efU9r9jh0MyTHjB9+ZgEf+uR0AkJtLFQeSxWql9oyp\nisYmddHYdM5qNSE724K/P3A2Msx6cGzfJ4DR+KQuGpvBK2EBbE5ODux2e8Rtdrsdubm5yMrKAsuy\nMbfn5OTE/Rybd1Tj/PmjIAVrA8arKNeMqaNzMLIgA5NH56K11d2j+5PucRwLq9WEtjZvj8eHJBeN\nTeqiseme3ydo5+w2h9inz03jk7pobFJXaGySLWEB7KRJk1BVVRVxW2VlJZYvXw69Xo9x48Zh165d\nmDlzJgCgra0Nx48fx5Qp8eehVje6ERAlyFL8M7kfbj2B7QeaIEkKfnntbACAKNKbPVkkSabfb4qi\nsUldNDadU5T+P2fT+KQuGpvBK2GJCt///vfxxRdfYOPGjRAEAa+++iqOHTuG5cuXAwCuuOIKrF27\nFocPH4bL5cLDDz+M8vJylJeXx/0cp08tQnWjG/tP2LvfOegfHx7o8WshhBCSGmS5d6lnhJCBqUcz\nsBUVFWAYBqKoXsb54IMPwDAMduzYgXHjxuHhhx/Gb37zG9TW1mLs2LF46qmnkJubCwC4/PLL0dTU\nhKuvvhoejwdz5szBo48+2qODNeg5fPjNCew41ISHb5kf130Kc8yoa/H06HkIIYT0v+vOLUVxYWZ/\nHwYhJAX1KIDtrmbrsmXLsGzZsk63r1y5slfNCww6DoGABCEQ/+WCwhwz7r16xik/JyGEkP6xoGJo\nfx8CISRFpVX9CYOew4ETdggBKa79RUnGvhN2ZJh0ST4yQgghhBDSV9IrgNVxqG5yQxBleHyBbvev\nb/XC6+/bVauEEEIIISS50iuA1bf3wfbHkUbg8gi4dPGYZB4SIYQQQgjpY2kVwIb3QfAJ6szq3mOd\nd/JyeQPIMFP6ACGEEELIQJJWAaxPkGA28jj3tGL8d38jAqKEPwS7a32yvRonGlwR+zs9AWRSD21C\nCCGEkAElzQJYEVkZBmSYdHht42Ecq28PWN/84ii27m2I2N/pEZBJC7gIIYQQQgaUhHXi6gvFhZkI\nBERkZaqzqm1uQdtmMerg6rCwq77Vi0XTqE8yIYQQQshAklYB7LLZxZgxLg+7j7QAAPyCWk5LVhQY\n9CwCHRZ2ub0BWCmFgBBCCCFkQEmrADbEbFAPO7SQS5IUGHQc/MH6sJt21OBAtQMMw/TbMRJCCCGE\nkORIqxzYELNRDWDf3HIMACDJMniORZPDi9+/9F8crXfiWJ2zPw+REEIIIYQkSVrOwBr16mG3Ov0A\nAJcnAEUBjtSqQeu+E3aMHmbtt+MjhBBCCCHJk7YzsA/dPA95NiMA4Lcv/TeqXSzLMOBYSiEghBBC\nCBlo0jKABYBcmxGSrHY2aHX6YTHyyMoIW7DFAHpd2r48QgghhBDSibSO8OSw1lw8z+IX18wCAPz0\nquk4eNIR0bmLEEIIIYQMDGkdwNos7TOuPMfClmEAAJiCObILpwzrl+MihBBCCCHJk9YBLMMwqBiT\niwyTDjzXnu+qC6YOWIxpuUaNEEIIIYR0Ia0DWJYBsjL0UBQlYsEWxzC4cXkZCnPM/Xh0hBBCCCEk\nGdJ6ipJhGMgKohoWMAyD08oL++moCCGEEEJIMqV1AMsyDBRFAcsAcrAiwZOrF0Gv4/r5yAghhBBC\nSLKkdQoBwwCyDEiyAjaYQkDBKyGEEELIwJbmASwDBQq8fglmQ1pPJhNCCCGEkDilddR3/XdLwXEs\nRg7JxMTi7P4+HEIIIYQQ0gfSOoDNyzIBAM6eM7Kfj4QQQgghhPSVtE4hIIQQQgghgw8FsIQQQggh\nJK1QAEsIIYQQQtIKBbCEEEIIISStUABLCCGEEELSCgWwhBBCCCEkrVAASwghhBBC0goFsIQQQggh\nJK1QAEsIIYQQQtIKBbCEEEIIISStUABLCCGEEELSCgWwhBBCCCEkrVAASwghhBBC0goFsIQQQggh\nJK1QAEsIIYQQQtIKBbCEEEIIISStUABLCCGEEELSCgWwhBBCCCEkrVAASwghhBBC0goFsIQQQggh\nJK1QAEsIIYQQQtIKBbCEEEIIISStUABLCCGEEELSCgWwhBBCCCEkrVAASwghhBBC0goFsIQQQggh\nJK1QAEsIIYQQQtJKwgPYPXv24Ic//CFmzZqFBQsWYM2aNWhtbQUAbNmyBZdeeilmzJiB5cuXY8OG\nDYl+ekIIIYQQMsAlNICVJAk33ngjpk2bhi1btuCtt95CS0sLHnjgATQ2NuKWW27BlVdeiS1btuDe\ne+/Fz3/+c1RVVSXyEAghhBBCyACX0AC2sbERjY2NOO+888DzPGw2G84880zs2bMHGzZsQElJCS68\n8ELo9XrMnTsXS5cuxSuvvJLIQyCEEEIIIQNcQgPYgoIClJWVYd26dfB4PGhubsb777+PxYsXo6qq\nCuXl5RH7l5WVobKyMpGHQAghhBBCBjg+kQ/GMAz+/Oc/49prr8WLL74IAJg9ezbuvPNO3HLLLSgs\nLIzY32azafmx8eI4WneWikLjQuOTemhsUheNTWqj8UldNDapq6/GJKEBrCAIuPnmm3HuuedixYoV\n8Hg8eOCBB3DXXXcBABRF6fVzWK2mXj8GSR4an9RFY5O6aGxSG41P6qKxGbwSGiZv2bIF1dXVuPPO\nO2GxWJCfn4+VK1figw8+AMdxsNvtEfvb7Xbk5uYm8hAIIYQQQsgAl9AAVpZl7b8QQRDAMAzmzZuH\nXbt2RexfWVmJKVOmJPIQCCGEEELIAJfQAHbatGkwm8149NFH4fP50NraiieffBKzZs3Ceeedh5qa\nGrz66qsQBAEbN27Epk2bcNlllyXyEAghhBBCyADHKIlITA2ze/du/O53v8O+ffug0+kwZ84c3HPP\nPcjPz8fWrVvx61//GocPH0ZRURFWr16NZcuWJfLpCSGEEELIAJfwAJYQQgghhJBkovoThBBCCCEk\nrVAASwghhBBC0goFsIQQQgghJK1QAEsIIYQQQtIKBbCEEEIIISStUABLCCGEEELSSloEsDU1NVix\nYgXmzJmDpUuX4uGHH+7vQxo0Jk6ciIqKCkyZMkX7/69//WsAauvgSy+9FDNmzMDy5cuxYcOGiPuu\nXbsWZ599NmbOnIkf/OAHqKqq6o+XMKBs2rQJ8+fPx+rVq6O2vf322zjvvPMwffp0XHzxxdi8ebO2\nTVEUPPLII1i2bBnmzJmDG264ASdOnNC2OxwO3HHHHZg/fz4WLlyIn/3sZxAEoU9e00DS2fi8/vrr\nKC0txZQpUyI+S5WVlQBofPpCTU0NVq5ciTlz5mDBggX46U9/CpfLBQDYs2cPrr76asycORPf+c53\n8MILL0TctzefLdK9zsamuroaEydOjPrchI8PjU1y7d27F9dccw1mzpyJBQsWYNWqVWhubgbQuxhA\nEATcf//9WLRoEebOnYvbb78ddru9ZwenpIELL7xQuf/++xWXy6UcO3ZMOeuss5QXXnihvw9rUJg4\ncaJSU1MTdXtDQ4MydepUZf369Yrf71e++OILZcqUKcquXbsURVGUjz76SJk9e7ayc+dOxe/3K08/\n/bQyf/58xev19vVLGDCeeeYZ5eyzz1auvPJK5c4774zYtnv3bmXy5MnKZ599pvj9fuWNN95Qpk6d\nqtTV1SmKoihr165VzjjjDOXw4cOK2+1WfvWrXynnnXeedv+VK1cqK1asUOx2u9LQ0KBcfvnlyq9/\n/es+fX3prqvxWb9+vXL11Vd3el8an+Rbvny5cu+99yper1epq6tTLr74YuVnP/uZ4vP5lNNPP115\n7LHHFK/Xq1RVVSlz5sxRPvjgA0VRev/ZIt3rbGxOnjypTJw4sdP70dgkl9/vV+bNm6c88cQTiiAI\nSktLi3LVVVcpK1eu7HUM8Nvf/la55JJLlLq6OsXhcCi33XabctNNN/Xo+FJ+BrayshL79+/HmjVr\nYLFYMHLkSFx77bVYt25dfx/aoKAoCpQYvS42bNiAkpISXHjhhdDr9Zg7dy6WLl2KV155BQCwbt06\nXHTRRZg8eTL0ej2uv/56MAyDjz/+uK9fwoBhNBrxyiuvYOTIkVHbXn31VSxevBgLFy6EXq/H8uXL\nMX78eLzxxhsA1PG49tprUVJSArPZjFWrVuHQoUPYuXMnmpub8dFHH2H16tWw2WzIz8/HLbfcgvXr\n10OSpL5+mWmrq/HpDo1PcjmdTkyePBmrV6+G0WhEQUEBLrzwQnzzzTf49NNPIYoibr75ZhiNRpSV\nleHSSy/Fv/71LwC9+2yR7nU1Nt2hsUkun8+HVatW4cYbb4ROp0N2djbOOuss7N+/v1cxgCRJeO21\n13DrrbeioKAAVqsVd9xxBz799FM0NjbGfXwpH8Du3r0bRUVFyMjI0G4rKyvDkSNH4PF4+vHIBo+H\nH34YS5YswaxZs3D//ffD4/GgqqoK5eXlEfuVlZVpl0R37dqFsrIybRvDMCgtLdW2k5676qqrIj4H\n4aqqqiJ+30D7ePj9fhw8eBClpaXaNovFguLiYlRWVmLPnj3gOA7jxo3TtpeXl8PtduPw4cPJeTED\nUFfjAwC1tbW47rrrMHv2bJx55pnaH1kan+TLzMzEgw8+iJycHO222tpaFBQUoKqqChMmTADDMNq2\n8HNZbz5bpHuxxqampgYFBQUA1EmUu+++GwsWLMC8efPwxz/+UfviRmOTXFarFZdccglYVg0VDx8+\njNdffx3nnntur2KA48ePw+l0RozN6NGjYTQae5RqmPIBrN1uh9VqjbgtKysLANDa2tofhzSoTJ06\nFfPnz8f777+Pf/3rX9ixYwceeOCBmONis9m0Melse49zXEhcWltbOx0Ph8MBRVFgs9librfb7cjM\nzIzaFnpc0ns5OTkoKSnBT37yE2zevBmrVq3Cvffei6+++orGpx9UVlbipZdewk033dTp3xiHwwGg\nd58t0nOhsbn55puh1+sxffp0nHXWWdi4cSOeeuopvPHGG3j88ccB0Nj0lZqaGkyaNAnf+973UFFR\ngdtuu61XMYDdbgfDMFFjY7VaezQ2KR/AAoh5CZv0jZdffhkXX3wxdDodRo8ejdWrV+PNN9+EKIo0\nLimmu/HoajuNZXItWrQITz/9NCZOnAidTodzzz0XZ555JtavX6/tQ+PTN7Zt24brr78ed911F+bO\nnQsg9u83fEa2N58tEr/Q2KxZswannXYa8vPz8Y9//ANnnHEGOI7D5MmTsWLFirg/N/FsJ90bNmwY\ndu3ahXfffRdHjhzBmjVrAPT+d9vb+6d8AJuTkxM1axeK3sMvOZC+UVRUBEmSwLJszHHJzc0FoI5b\nx29SdrudxixJOvuc5ObmIisrq9PxysnJQU5ODpxOZ8TJJLRvaDxJ4hUVFaGhoYHGpw99/PHHWLFi\nBe677/+3c/+gTW1xHMC/EbQIYmnWUKGIoDH35gYlSIpNdKihYINDG2JdpbOhizxcqkuwldLEVCqI\nuFghHUoVhyyWgC20FPIHLQ1RdKjpYtBkiLcxPwfp5d2nzz/ta2v6vp8l5JwcOCdfTvIj9+T+hb6+\nPgBAS0vLN+99qVQyrvRtZm/Rr/teNt9js9mMc5LMZnsdOnQIV65cwZMnT7B3794N1wBWqxUi8s34\nDx8+/FY2f3wB63A48O7dO9NCM5kMDh8+jP379+/gzHa/ly9fIhKJmNoKhQKamprg9XqRy+VMfdls\nFk6nE8DX3P5+lqVer+PFixdGP/23/vl+A1/z0DQN+/btw5EjR0x5ffz4EW/fvoWmacY5pKWlJaM/\nk8mgubkZbW1t27OAXW5iYgJPnz41tRUKBbS2tjKfbbK4uIirV68iGo2iu7vbaFcUBUtLS6jX60Zb\nNpuFqqoANr63+Fn36/4tm9nZWdy5c8f02kKhAJvNBoDZbLW5uTn4/X5Tm8VigcVigaIoG6oBNE1D\na2srmpubTf3Ly8tYW1uDoii/PL8/voA9duwYFEXB8PAwKpUKCoUC7t+/j4sXL+701HY9q9WKR48e\n4e7du9B1Ha9fv8bo6CiCwSC6u7uxsrKCRCIBXdcxMzODVCqFYDAIAAiFQpiamkI6nUa1WkU8HkdT\nUxN8Pt/OLmqX6u3txfPnzzEzMwNd15FIJPDmzRucP38ewNc8Hjx4gFevXqFSqWBoaAh2ux12ux0t\nLS04d+4cRkZGUCqVUCwWEY/H0dPTYxzep83RdR03btxALpdDrVbD48ePkUqlEAqFADCfrfb582dc\nu3bNdGxgXUdHBw4cOIB4PI5qtYp0Oo3JyUnjO2Yje+v48ePf/MGFvu9H2Rw8eBC3b9/G9PQ0arUa\nstks7t27x2y2icPhQKVSwc2bN1GtVvH+/XvEYjGcPHkSoVBoQzWA1+vFnj170Nvbi7GxMRSLRZRK\nJdy6dQudnZ2/9+v4hm8Qto2KxaJcvnxZnE6ntLe3SywW2+kp/W/Mz89LMBgUl8slp06dkkgkIp8+\nfTL6AoGAKIoifr/fuG/iuocPH4rP5xNVVaWvr0/y+fxOLGHXUBRFVFUVu90udrvdeL4umUxKZ2en\nKIoiFy5ckIWFBdP4aDQqHo9HNE2T/v5+416JIiLlclnC4bC4XC5xu91y/fp1WVtb27a17QY/y2ds\nbEzOnj0rqqpKV1eXPHv2zDSe+Wyd+fl5OXr0qKiqauSy/riysiL5fF5CoZAoiiJnzpyRiYkJ0/jN\n7C36sZ9lk0wmJRAIiNPplNOnT8v4+LhpPLPZWsvLy3Lp0iXRNE08Ho+Ew2FZXV0Vkc3VALquy+Dg\noLjdbjlx4oQMDAxIuVz+rblZRHjCmYiIiIgaB68/EREREVFDYQFLRERERA2FBSwRERERNRQWsERE\nRETUUFjAEhEREVFDYQFLRERERA2FBSwRERERNRQWsERERETUUFjAEhEREVFDYQFLRERERA2FBSwR\nERERNZQv2U8eXnNhQo0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f58dd4bab10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(ptf_index,linewidth=.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 274,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f58dd362910>"
      ]
     },
     "execution_count": 274,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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KlRdtufqgjmcG1HP1qXYdV1QYXbduHW3dupW+9a1vEVF550wPDo5DM5qSTMakzs42GhmZ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\n98q/k995JXd6yasmnRbu//x1UKtQLPnhK8SzbIOJ+/+m0Yy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7hHnHmP2fMEkZcsgKBnfb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/pAD+YXIHgWUzYyWOGCkY4lM0di0mi1Q+BdVy7DScsm+p5vv44RKtjRUovRbc7xyTQM+1372EWL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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f58dd358250>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "prices1['ptfLogRtn'].plot(linewidth=.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 275,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinregressResult(slope=0.74650342736446595, intercept=0.0125660018867472, rvalue=0.83567204457273769, pvalue=0.0, stderr=0.0091870153971902145)"
      ]
     },
     "execution_count": 275,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats.linregress(prices1['DJIALogRtn'],prices1['ptfLogRtn'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 276,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinregressResult(slope=0.69860552739744353, intercept=0.013208866887870017, rvalue=0.84349340264650419, pvalue=0.0, stderr=0.0083303391943473255)"
      ]
     },
     "execution_count": 276,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats.linregress(prices1['GSPCLogRtn'],prices1['ptfLogRtn'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 277,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinregressResult(slope=0.55414052559195703, intercept=0.0047611682656683516, rvalue=0.78319869404382259, pvalue=0.0, stderr=0.0082376628409546251)"
      ]
     },
     "execution_count": 277,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats.linregress(prices1['NDXLogRtn'],prices1['ptfLogRtn'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 278,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinregressResult(slope=0.57824955761709418, intercept=0.007450848554595331, rvalue=0.83629655333586383, pvalue=0.0, stderr=0.0070987284431291457)"
      ]
     },
     "execution_count": 278,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats.linregress(prices1['GDAXILogRtn'],prices1['ptfLogRtn'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 279,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinregressResult(slope=0.56835284931725272, intercept=0.02163156431599017, rvalue=0.82340731119154764, pvalue=0.0, stderr=0.0073342678692677197)"
      ]
     },
     "execution_count": 279,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats.linregress(prices1['FCHILogRtn'],prices1['ptfLogRtn'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 280,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinregressResult(slope=0.22378714612143547, intercept=0.01745162089204904, rvalue=0.38745827501611479, pvalue=7.0200959438501208e-103, stderr=0.0099704151296996415)"
      ]
     },
     "execution_count": 280,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats.linregress(prices1['SSECLogRtn'],prices1['ptfLogRtn'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 281,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinregressResult(slope=0.37266025167599115, intercept=0.0010003313538571243, rvalue=0.5680504195650109, pvalue=1.3506813306486223e-243, stderr=0.010109925775996479)"
      ]
     },
     "execution_count": 281,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats.linregress(prices1['SENSEXLogRtn'],prices1['ptfLogRtn'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.12"
  }
 },
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}