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@yhilpisch
Last active October 2, 2017 18:28
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Executive Program in Algorithmic Trading (QuantInsti)

Python Sessions by Dr. Yves J. Hilpisch | The Python Quants GmbH

Online, 03. & 04. June 2017

Resources

Slides

You find the introduction slides under http://hilpisch.com/epat.pdf

Python

Download and install Miniconda 2.7 from https://conda.io/miniconda.html

If you have either Miniconda or Anaconda already installed, there is not need to install anything new.

conda create -n epat python=2.7
(source) activate epat
conda install numpy pandas=0.19 scikit-learn matplotlib
conda install pandas-datareader pytables
conda install ipython jupyter
jupyter notebook

Management of environments: https://conda.io/docs/using/envs.html

Books

Good book covering object-oriented programming in Python: Fluent Python, O'Reilly

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<img src=\"http://hilpisch.com/tpq_logo.png\" width=300px align=right>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Object-Oriented Programming"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**EPAT Python Session 01**\n",
"\n",
"Dr. Yves J. Hilpisch\n",
"\n",
"Online, 03. June 2017"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"from pandas_datareader import data as web\n",
"from pylab import plt\n",
"# import cufflinks\n",
"plt.style.use('seaborn')\n",
"%matplotlib inline"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Retrieving Financial Data"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"data = web.DataReader('AAPL', data_source='google',\n",
" start='2010-1-1')"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"DatetimeIndex: 1866 entries, 2010-01-04 to 2017-06-02\n",
"Data columns (total 5 columns):\n",
"Open 1866 non-null float64\n",
"High 1866 non-null float64\n",
"Low 1866 non-null float64\n",
"Close 1866 non-null float64\n",
"Volume 1866 non-null int64\n",
"dtypes: float64(4), int64(1)\n",
"memory usage: 87.5 KB\n"
]
}
],
"source": [
"data.info()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Open</th>\n",
" <th>High</th>\n",
" <th>Low</th>\n",
" <th>Close</th>\n",
" <th>Volume</th>\n",
" </tr>\n",
" <tr>\n",
" <th>Date</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2010-01-04</th>\n",
" <td>30.49</td>\n",
" <td>30.64</td>\n",
" <td>30.34</td>\n",
" <td>30.57</td>\n",
" <td>123432050</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2010-01-05</th>\n",
" <td>30.66</td>\n",
" <td>30.80</td>\n",
" <td>30.46</td>\n",
" <td>30.63</td>\n",
" <td>150476004</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2010-01-06</th>\n",
" <td>30.63</td>\n",
" <td>30.75</td>\n",
" <td>30.11</td>\n",
" <td>30.14</td>\n",
" <td>138039594</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2010-01-07</th>\n",
" <td>30.25</td>\n",
" <td>30.29</td>\n",
" <td>29.86</td>\n",
" <td>30.08</td>\n",
" <td>119282324</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2010-01-08</th>\n",
" <td>30.04</td>\n",
" <td>30.29</td>\n",
" <td>29.87</td>\n",
" <td>30.28</td>\n",
" <td>111969081</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Open High Low Close Volume\n",
"Date \n",
"2010-01-04 30.49 30.64 30.34 30.57 123432050\n",
"2010-01-05 30.66 30.80 30.46 30.63 150476004\n",
"2010-01-06 30.63 30.75 30.11 30.14 138039594\n",
"2010-01-07 30.25 30.29 29.86 30.08 119282324\n",
"2010-01-08 30.04 30.29 29.87 30.28 111969081"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data.head()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Open</th>\n",
" <th>High</th>\n",
" <th>Low</th>\n",
" <th>Close</th>\n",
" <th>Volume</th>\n",
" </tr>\n",
" <tr>\n",
" <th>Date</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2017-05-26</th>\n",
" <td>154.00</td>\n",
" <td>154.24</td>\n",
" <td>153.31</td>\n",
" <td>153.61</td>\n",
" <td>21927637</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-05-30</th>\n",
" <td>153.42</td>\n",
" <td>154.43</td>\n",
" <td>153.33</td>\n",
" <td>153.67</td>\n",
" <td>20126851</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-05-31</th>\n",
" <td>153.97</td>\n",
" <td>154.17</td>\n",
" <td>152.38</td>\n",
" <td>152.76</td>\n",
" <td>24451164</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-06-01</th>\n",
" <td>153.17</td>\n",
" <td>153.33</td>\n",
" <td>152.22</td>\n",
" <td>153.18</td>\n",
" <td>16404088</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-06-02</th>\n",
" <td>153.58</td>\n",
" <td>155.45</td>\n",
" <td>152.89</td>\n",
" <td>155.45</td>\n",
" <td>27770715</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Open High Low Close Volume\n",
"Date \n",
"2017-05-26 154.00 154.24 153.31 153.61 21927637\n",
"2017-05-30 153.42 154.43 153.33 153.67 20126851\n",
"2017-05-31 153.97 154.17 152.38 152.76 24451164\n",
"2017-06-01 153.17 153.33 152.22 153.18 16404088\n",
"2017-06-02 153.58 155.45 152.89 155.45 27770715"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data.tail()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
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ExjcFQVgJ4CeiKG4QBGERgAcA+AC4AFwvimKLIAg3AbgZgBfAD0VRfHGkLpqIiMauWGUT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\nJVQiIiIiMVJCJSIiIhIjJVQiIiIiMfp/ml67rfqUxr4AAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x111572d90>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"data['Close'].plot(figsize=(10, 6));"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Retrieving Data for Multiple Stocks"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"df = web.DataReader(['MSFT', 'AAPL', 'YHOO', 'GOOG'], data_source='google')"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<class 'pandas.core.panel.Panel'>\n",
"Dimensions: 5 (items) x 1866 (major_axis) x 4 (minor_axis)\n",
"Items axis: Open to Volume\n",
"Major_axis axis: 2010-01-04 00:00:00 to 2017-06-02 00:00:00\n",
"Minor_axis axis: AAPL to YHOO"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Open</th>\n",
" <th>High</th>\n",
" <th>Low</th>\n",
" <th>Close</th>\n",
" <th>Volume</th>\n",
" </tr>\n",
" <tr>\n",
" <th>Date</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2010-01-04</th>\n",
" <td>30.62</td>\n",
" <td>31.10</td>\n",
" <td>30.59</td>\n",
" <td>30.95</td>\n",
" <td>38414185.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2010-01-05</th>\n",
" <td>30.85</td>\n",
" <td>31.10</td>\n",
" <td>30.64</td>\n",
" <td>30.96</td>\n",
" <td>49758862.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2010-01-06</th>\n",
" <td>30.88</td>\n",
" <td>31.08</td>\n",
" <td>30.52</td>\n",
" <td>30.77</td>\n",
" <td>58182332.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2010-01-07</th>\n",
" <td>30.63</td>\n",
" <td>30.70</td>\n",
" <td>30.19</td>\n",
" <td>30.45</td>\n",
" <td>50564285.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2010-01-08</th>\n",
" <td>30.28</td>\n",
" <td>30.88</td>\n",
" <td>30.24</td>\n",
" <td>30.66</td>\n",
" <td>51201289.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Open High Low Close Volume\n",
"Date \n",
"2010-01-04 30.62 31.10 30.59 30.95 38414185.0\n",
"2010-01-05 30.85 31.10 30.64 30.96 49758862.0\n",
"2010-01-06 30.88 31.08 30.52 30.77 58182332.0\n",
"2010-01-07 30.63 30.70 30.19 30.45 50564285.0\n",
"2010-01-08 30.28 30.88 30.24 30.66 51201289.0"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.minor_xs('MSFT').head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## SMA-based Strategy"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"data['SMA1'] = data['Close'].rolling(42).mean()"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"data['SMA2'] = data['Close'].rolling(252).mean()"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Open</th>\n",
" <th>High</th>\n",
" <th>Low</th>\n",
" <th>Close</th>\n",
" <th>Volume</th>\n",
" <th>SMA1</th>\n",
" <th>SMA2</th>\n",
" </tr>\n",
" <tr>\n",
" <th>Date</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2010-01-04</th>\n",
" <td>30.49</td>\n",
" <td>30.64</td>\n",
" <td>30.34</td>\n",
" <td>30.57</td>\n",
" <td>123432050</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2010-01-05</th>\n",
" <td>30.66</td>\n",
" <td>30.80</td>\n",
" <td>30.46</td>\n",
" <td>30.63</td>\n",
" <td>150476004</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2010-01-06</th>\n",
" <td>30.63</td>\n",
" <td>30.75</td>\n",
" <td>30.11</td>\n",
" <td>30.14</td>\n",
" <td>138039594</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2010-01-07</th>\n",
" <td>30.25</td>\n",
" <td>30.29</td>\n",
" <td>29.86</td>\n",
" <td>30.08</td>\n",
" <td>119282324</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2010-01-08</th>\n",
" <td>30.04</td>\n",
" <td>30.29</td>\n",
" <td>29.87</td>\n",
" <td>30.28</td>\n",
" <td>111969081</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Open High Low Close Volume SMA1 SMA2\n",
"Date \n",
"2010-01-04 30.49 30.64 30.34 30.57 123432050 NaN NaN\n",
"2010-01-05 30.66 30.80 30.46 30.63 150476004 NaN NaN\n",
"2010-01-06 30.63 30.75 30.11 30.14 138039594 NaN NaN\n",
"2010-01-07 30.25 30.29 29.86 30.08 119282324 NaN NaN\n",
"2010-01-08 30.04 30.29 29.87 30.28 111969081 NaN NaN"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data.head()"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Open</th>\n",
" <th>High</th>\n",
" <th>Low</th>\n",
" <th>Close</th>\n",
" <th>Volume</th>\n",
" <th>SMA1</th>\n",
" <th>SMA2</th>\n",
" </tr>\n",
" <tr>\n",
" <th>Date</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2017-05-26</th>\n",
" <td>154.00</td>\n",
" <td>154.24</td>\n",
" <td>153.31</td>\n",
" <td>153.61</td>\n",
" <td>21927637</td>\n",
" <td>147.360476</td>\n",
" <td>119.718532</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-05-30</th>\n",
" <td>153.42</td>\n",
" <td>154.43</td>\n",
" <td>153.33</td>\n",
" <td>153.67</td>\n",
" <td>20126851</td>\n",
" <td>147.587857</td>\n",
" <td>119.930119</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-05-31</th>\n",
" <td>153.97</td>\n",
" <td>154.17</td>\n",
" <td>152.38</td>\n",
" <td>152.76</td>\n",
" <td>24451164</td>\n",
" <td>147.798095</td>\n",
" <td>120.140040</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-06-01</th>\n",
" <td>153.17</td>\n",
" <td>153.33</td>\n",
" <td>152.22</td>\n",
" <td>153.18</td>\n",
" <td>16404088</td>\n",
" <td>148.024762</td>\n",
" <td>120.357183</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-06-02</th>\n",
" <td>153.58</td>\n",
" <td>155.45</td>\n",
" <td>152.89</td>\n",
" <td>155.45</td>\n",
" <td>27770715</td>\n",
" <td>148.304524</td>\n",
" <td>120.586270</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Open High Low Close Volume SMA1 SMA2\n",
"Date \n",
"2017-05-26 154.00 154.24 153.31 153.61 21927637 147.360476 119.718532\n",
"2017-05-30 153.42 154.43 153.33 153.67 20126851 147.587857 119.930119\n",
"2017-05-31 153.97 154.17 152.38 152.76 24451164 147.798095 120.140040\n",
"2017-06-01 153.17 153.33 152.22 153.18 16404088 148.024762 120.357183\n",
"2017-06-02 153.58 155.45 152.89 155.45 27770715 148.304524 120.586270"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data.tail()"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
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9Ju31VU5xrfd1cIC+xecrj6xFq9EyP35un/bxH34+Ho1G432GqqoY9FrKq20A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\nMClQiYiIiIRJgUpEREQkTP8PVZJYuWN9wZ0AAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x111762e50>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"data[['Close', 'SMA1', 'SMA2']].plot(figsize=(10, 6));"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# data[['Close', 'SMA1', 'SMA2']].iplot()"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"data['Position'] = np.where(data['SMA1'] > data['SMA2'], 1, -1)"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"data.dropna(inplace=True)"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Open</th>\n",
" <th>High</th>\n",
" <th>Low</th>\n",
" <th>Close</th>\n",
" <th>Volume</th>\n",
" <th>SMA1</th>\n",
" <th>SMA2</th>\n",
" <th>Position</th>\n",
" </tr>\n",
" <tr>\n",
" <th>Date</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2011-01-03</th>\n",
" <td>46.52</td>\n",
" <td>47.18</td>\n",
" <td>46.41</td>\n",
" <td>47.08</td>\n",
" <td>111280407</td>\n",
" <td>45.347381</td>\n",
" <td>37.173651</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2011-01-04</th>\n",
" <td>47.49</td>\n",
" <td>47.50</td>\n",
" <td>46.88</td>\n",
" <td>47.33</td>\n",
" <td>77337001</td>\n",
" <td>45.410238</td>\n",
" <td>37.240159</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2011-01-05</th>\n",
" <td>47.08</td>\n",
" <td>47.76</td>\n",
" <td>47.07</td>\n",
" <td>47.71</td>\n",
" <td>63879193</td>\n",
" <td>45.463571</td>\n",
" <td>37.307937</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2011-01-06</th>\n",
" <td>47.82</td>\n",
" <td>47.89</td>\n",
" <td>47.56</td>\n",
" <td>47.68</td>\n",
" <td>75106626</td>\n",
" <td>45.520238</td>\n",
" <td>37.377540</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2011-01-07</th>\n",
" <td>47.71</td>\n",
" <td>48.05</td>\n",
" <td>47.41</td>\n",
" <td>48.02</td>\n",
" <td>77982212</td>\n",
" <td>45.579762</td>\n",
" <td>37.448730</td>\n",
" <td>1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Open High Low Close Volume SMA1 SMA2 \\\n",
"Date \n",
"2011-01-03 46.52 47.18 46.41 47.08 111280407 45.347381 37.173651 \n",
"2011-01-04 47.49 47.50 46.88 47.33 77337001 45.410238 37.240159 \n",
"2011-01-05 47.08 47.76 47.07 47.71 63879193 45.463571 37.307937 \n",
"2011-01-06 47.82 47.89 47.56 47.68 75106626 45.520238 37.377540 \n",
"2011-01-07 47.71 48.05 47.41 48.02 77982212 45.579762 37.448730 \n",
"\n",
" Position \n",
"Date \n",
"2011-01-03 1 \n",
"2011-01-04 1 \n",
"2011-01-05 1 \n",
"2011-01-06 1 \n",
"2011-01-07 1 "
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data.head()"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Open</th>\n",
" <th>High</th>\n",
" <th>Low</th>\n",
" <th>Close</th>\n",
" <th>Volume</th>\n",
" <th>SMA1</th>\n",
" <th>SMA2</th>\n",
" <th>Position</th>\n",
" </tr>\n",
" <tr>\n",
" <th>Date</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2017-05-26</th>\n",
" <td>154.00</td>\n",
" <td>154.24</td>\n",
" <td>153.31</td>\n",
" <td>153.61</td>\n",
" <td>21927637</td>\n",
" <td>147.360476</td>\n",
" <td>119.718532</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-05-30</th>\n",
" <td>153.42</td>\n",
" <td>154.43</td>\n",
" <td>153.33</td>\n",
" <td>153.67</td>\n",
" <td>20126851</td>\n",
" <td>147.587857</td>\n",
" <td>119.930119</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-05-31</th>\n",
" <td>153.97</td>\n",
" <td>154.17</td>\n",
" <td>152.38</td>\n",
" <td>152.76</td>\n",
" <td>24451164</td>\n",
" <td>147.798095</td>\n",
" <td>120.140040</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-06-01</th>\n",
" <td>153.17</td>\n",
" <td>153.33</td>\n",
" <td>152.22</td>\n",
" <td>153.18</td>\n",
" <td>16404088</td>\n",
" <td>148.024762</td>\n",
" <td>120.357183</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-06-02</th>\n",
" <td>153.58</td>\n",
" <td>155.45</td>\n",
" <td>152.89</td>\n",
" <td>155.45</td>\n",
" <td>27770715</td>\n",
" <td>148.304524</td>\n",
" <td>120.586270</td>\n",
" <td>1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Open High Low Close Volume SMA1 SMA2 \\\n",
"Date \n",
"2017-05-26 154.00 154.24 153.31 153.61 21927637 147.360476 119.718532 \n",
"2017-05-30 153.42 154.43 153.33 153.67 20126851 147.587857 119.930119 \n",
"2017-05-31 153.97 154.17 152.38 152.76 24451164 147.798095 120.140040 \n",
"2017-06-01 153.17 153.33 152.22 153.18 16404088 148.024762 120.357183 \n",
"2017-06-02 153.58 155.45 152.89 155.45 27770715 148.304524 120.586270 \n",
"\n",
" Position \n",
"Date \n",
"2017-05-26 1 \n",
"2017-05-30 1 \n",
"2017-05-31 1 \n",
"2017-06-01 1 \n",
"2017-06-02 1 "
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data.tail()"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
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u80lAJ4QQwqt+QPf6VzspKms68PIe61PmZOnGLGwOJ3klFo4WW0iKDeHha8Zz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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1116ab5d0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"data[['Close', 'SMA1', 'SMA2', 'Position']].plot(figsize=(10, 6), secondary_y='Position');"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Backtesting the Strategy"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Open</th>\n",
" <th>High</th>\n",
" <th>Low</th>\n",
" <th>Close</th>\n",
" <th>Volume</th>\n",
" <th>SMA1</th>\n",
" <th>SMA2</th>\n",
" <th>Position</th>\n",
" </tr>\n",
" <tr>\n",
" <th>Date</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2011-01-03</th>\n",
" <td>46.52</td>\n",
" <td>47.18</td>\n",
" <td>46.41</td>\n",
" <td>47.08</td>\n",
" <td>111280407</td>\n",
" <td>45.347381</td>\n",
" <td>37.173651</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2011-01-04</th>\n",
" <td>47.49</td>\n",
" <td>47.50</td>\n",
" <td>46.88</td>\n",
" <td>47.33</td>\n",
" <td>77337001</td>\n",
" <td>45.410238</td>\n",
" <td>37.240159</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2011-01-05</th>\n",
" <td>47.08</td>\n",
" <td>47.76</td>\n",
" <td>47.07</td>\n",
" <td>47.71</td>\n",
" <td>63879193</td>\n",
" <td>45.463571</td>\n",
" <td>37.307937</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2011-01-06</th>\n",
" <td>47.82</td>\n",
" <td>47.89</td>\n",
" <td>47.56</td>\n",
" <td>47.68</td>\n",
" <td>75106626</td>\n",
" <td>45.520238</td>\n",
" <td>37.377540</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2011-01-07</th>\n",
" <td>47.71</td>\n",
" <td>48.05</td>\n",
" <td>47.41</td>\n",
" <td>48.02</td>\n",
" <td>77982212</td>\n",
" <td>45.579762</td>\n",
" <td>37.448730</td>\n",
" <td>1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Open High Low Close Volume SMA1 SMA2 \\\n",
"Date \n",
"2011-01-03 46.52 47.18 46.41 47.08 111280407 45.347381 37.173651 \n",
"2011-01-04 47.49 47.50 46.88 47.33 77337001 45.410238 37.240159 \n",
"2011-01-05 47.08 47.76 47.07 47.71 63879193 45.463571 37.307937 \n",
"2011-01-06 47.82 47.89 47.56 47.68 75106626 45.520238 37.377540 \n",
"2011-01-07 47.71 48.05 47.41 48.02 77982212 45.579762 37.448730 \n",
"\n",
" Position \n",
"Date \n",
"2011-01-03 1 \n",
"2011-01-04 1 \n",
"2011-01-05 1 \n",
"2011-01-06 1 \n",
"2011-01-07 1 "
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data.head()"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Date\n",
"2011-01-03 47.08\n",
"2011-01-04 47.33\n",
"2011-01-05 47.71\n",
"2011-01-06 47.68\n",
"2011-01-07 48.02\n",
"Name: Close, dtype: float64"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data['Close'].head()"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Date\n",
"2011-01-03 NaN\n",
"2011-01-04 47.08\n",
"2011-01-05 47.33\n",
"2011-01-06 47.71\n",
"2011-01-07 47.68\n",
"Name: Close, dtype: float64"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data['Close'].shift(1).head()"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Date\n",
"2011-01-03 NaN\n",
"2011-01-04 0.005296\n",
"2011-01-05 0.007997\n",
"2011-01-06 -0.000629\n",
"2011-01-07 0.007106\n",
"Name: Close, dtype: float64"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"np.log(data['Close'].head() / data['Close'].shift(1).head())"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.0052960615260805614"
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"np.log(47.33 / 47.08)"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.007996675609859118"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"np.log(47.71 / 47.33)"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"data['Returns'] = np.log(data['Close'] / data['Close'].shift(1))"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Open</th>\n",
" <th>High</th>\n",
" <th>Low</th>\n",
" <th>Close</th>\n",
" <th>Volume</th>\n",
" <th>SMA1</th>\n",
" <th>SMA2</th>\n",
" <th>Position</th>\n",
" <th>Returns</th>\n",
" </tr>\n",
" <tr>\n",
" <th>Date</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2011-01-03</th>\n",
" <td>46.52</td>\n",
" <td>47.18</td>\n",
" <td>46.41</td>\n",
" <td>47.08</td>\n",
" <td>111280407</td>\n",
" <td>45.347381</td>\n",
" <td>37.173651</td>\n",
" <td>1</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2011-01-04</th>\n",
" <td>47.49</td>\n",
" <td>47.50</td>\n",
" <td>46.88</td>\n",
" <td>47.33</td>\n",
" <td>77337001</td>\n",
" <td>45.410238</td>\n",
" <td>37.240159</td>\n",
" <td>1</td>\n",
" <td>0.005296</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2011-01-05</th>\n",
" <td>47.08</td>\n",
" <td>47.76</td>\n",
" <td>47.07</td>\n",
" <td>47.71</td>\n",
" <td>63879193</td>\n",
" <td>45.463571</td>\n",
" <td>37.307937</td>\n",
" <td>1</td>\n",
" <td>0.007997</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2011-01-06</th>\n",
" <td>47.82</td>\n",
" <td>47.89</td>\n",
" <td>47.56</td>\n",
" <td>47.68</td>\n",
" <td>75106626</td>\n",
" <td>45.520238</td>\n",
" <td>37.377540</td>\n",
" <td>1</td>\n",
" <td>-0.000629</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2011-01-07</th>\n",
" <td>47.71</td>\n",
" <td>48.05</td>\n",
" <td>47.41</td>\n",
" <td>48.02</td>\n",
" <td>77982212</td>\n",
" <td>45.579762</td>\n",
" <td>37.448730</td>\n",
" <td>1</td>\n",
" <td>0.007106</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Open High Low Close Volume SMA1 SMA2 \\\n",
"Date \n",
"2011-01-03 46.52 47.18 46.41 47.08 111280407 45.347381 37.173651 \n",
"2011-01-04 47.49 47.50 46.88 47.33 77337001 45.410238 37.240159 \n",
"2011-01-05 47.08 47.76 47.07 47.71 63879193 45.463571 37.307937 \n",
"2011-01-06 47.82 47.89 47.56 47.68 75106626 45.520238 37.377540 \n",
"2011-01-07 47.71 48.05 47.41 48.02 77982212 45.579762 37.448730 \n",
"\n",
" Position Returns \n",
"Date \n",
"2011-01-03 1 NaN \n",
"2011-01-04 1 0.005296 \n",
"2011-01-05 1 0.007997 \n",
"2011-01-06 1 -0.000629 \n",
"2011-01-07 1 0.007106 "
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data.head()"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"data.dropna(inplace=True)"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"data['Strategy'] = data['Position'].shift(1) * data['Returns']"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Open</th>\n",
" <th>High</th>\n",
" <th>Low</th>\n",
" <th>Close</th>\n",
" <th>Volume</th>\n",
" <th>SMA1</th>\n",
" <th>SMA2</th>\n",
" <th>Position</th>\n",
" <th>Returns</th>\n",
" <th>Strategy</th>\n",
" </tr>\n",
" <tr>\n",
" <th>Date</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2017-05-26</th>\n",
" <td>154.00</td>\n",
" <td>154.24</td>\n",
" <td>153.31</td>\n",
" <td>153.61</td>\n",
" <td>21927637</td>\n",
" <td>147.360476</td>\n",
" <td>119.718532</td>\n",
" <td>1</td>\n",
" <td>-0.001691</td>\n",
" <td>-0.001691</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-05-30</th>\n",
" <td>153.42</td>\n",
" <td>154.43</td>\n",
" <td>153.33</td>\n",
" <td>153.67</td>\n",
" <td>20126851</td>\n",
" <td>147.587857</td>\n",
" <td>119.930119</td>\n",
" <td>1</td>\n",
" <td>0.000391</td>\n",
" <td>0.000391</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-05-31</th>\n",
" <td>153.97</td>\n",
" <td>154.17</td>\n",
" <td>152.38</td>\n",
" <td>152.76</td>\n",
" <td>24451164</td>\n",
" <td>147.798095</td>\n",
" <td>120.140040</td>\n",
" <td>1</td>\n",
" <td>-0.005939</td>\n",
" <td>-0.005939</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-06-01</th>\n",
" <td>153.17</td>\n",
" <td>153.33</td>\n",
" <td>152.22</td>\n",
" <td>153.18</td>\n",
" <td>16404088</td>\n",
" <td>148.024762</td>\n",
" <td>120.357183</td>\n",
" <td>1</td>\n",
" <td>0.002746</td>\n",
" <td>0.002746</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-06-02</th>\n",
" <td>153.58</td>\n",
" <td>155.45</td>\n",
" <td>152.89</td>\n",
" <td>155.45</td>\n",
" <td>27770715</td>\n",
" <td>148.304524</td>\n",
" <td>120.586270</td>\n",
" <td>1</td>\n",
" <td>0.014710</td>\n",
" <td>0.014710</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Open High Low Close Volume SMA1 SMA2 \\\n",
"Date \n",
"2017-05-26 154.00 154.24 153.31 153.61 21927637 147.360476 119.718532 \n",
"2017-05-30 153.42 154.43 153.33 153.67 20126851 147.587857 119.930119 \n",
"2017-05-31 153.97 154.17 152.38 152.76 24451164 147.798095 120.140040 \n",
"2017-06-01 153.17 153.33 152.22 153.18 16404088 148.024762 120.357183 \n",
"2017-06-02 153.58 155.45 152.89 155.45 27770715 148.304524 120.586270 \n",
"\n",
" Position Returns Strategy \n",
"Date \n",
"2017-05-26 1 -0.001691 -0.001691 \n",
"2017-05-30 1 0.000391 0.000391 \n",
"2017-05-31 1 -0.005939 -0.005939 \n",
"2017-06-01 1 0.002746 0.002746 \n",
"2017-06-02 1 0.014710 0.014710 "
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data.tail()"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [
{
"data": {
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LVdVKoBnw/wkSgcaeLtjQYO7vWEU3MjMTqalpGe5hHLLk/kaO3NvIkXsbOXJvI6e7e7un\nogwAvd00ZPe/u2Ct2yBKVVXf8pyiKF8BP/MEUADbgfGKoqQBrbiX8h4a6GCFEEIIIULZ0bALgOKU\nMcM8Erc+LygqinIxkKCq6rOKovwa+AR3btULqqqWD/YAhRBCCCGcLifb63aSbEwiJz46nmPrdRCl\nquoiz8sdfts+AD4Y5DEJIYQQQgRYsvdT2uxm8hNy0Wg0wz0cQIptCiGEEGIE2NO0D4BxUbKUBxJE\nCSGEEGIEyE/MA+CoUXOGeSSdJIgSQgghRNRzuJwA6LTRUyZJgighhBBCRD2nJ4jSaqIndImekQgh\nhBBChOF0OQAJooQQQggh+sS7nKeNotAlekYihBBCCBGGy+UCZCZKCCGEEKJPHJ7lPJ02ekKX6BmJ\nEEIIIUQYklguhBBCCNEPEkQJIYQQQvSDr06UBFFCCCGEEL3XORMlxTaFEEIIIXrNF0QRHc2HAfTD\nPQAhhBBCiHBcLhdrqzawvX4nIDlRQgghhBC9UtFWxT+2vep7L0GUEEIIIUQvNFtbAt5rNLKcJ4QQ\nQgjRo3Z7OwDH5BzB3OyZwzyaQDITJYQQQoiotKN+F2/u+gCAsclFTEwbP8wjCiQzUUIIIYSIKrsa\n9vCPrf+myW8pL8mYMIwjCk2CKCGEEEJElb9teM5X0gDgBxPOZlLahGEcUWgSRAkhhBAiarTbO3wB\nVLIxiXuP/UNUJZP7k5woIYQQQgyYy+Xifwe+pry1YkDn2VS5HYDCxHx+M+faqA2gQIIoIYQQYsQo\nb61gffXm4R5GgBZrK6Ut5Wyt28E7u5fw0NonBnS+1eUbAbhQOZv02LTBGGLEyHKeEEIIMUI8tuE5\nWqyt3HrkjeQl5Az3cLA57dy8/K6AbVaHtc/ncTgdrKnawJjkAg42V6LVaMlPzBusYUaMBFFCCCHE\nCNFibQWgxlwbFUHUppotXbblxo/q0zk+3vc5H+z9BIBkYyImg5FEQ0JUVSYPR4IoIYQQYoRpsbUN\n9xAA6Agx6xRviOv18a3WNl8ABbhLGlhhdELuoIwv0qI/zBNCCCFEgLYoCaL2N5cCcMOsazh73OlA\n6MAqnE/3fxlye4IhfuCDGwI9zkQpiqIDngMUwAX8TFXVLX6f3whcBdR4Nl2jqqoagbEKIYQQAmjt\nRRD1Zelyylsr+NGkCwZ8vRUHV7Oxdgs/nXopOq3Ot31v036MOiPjUsYwPnUc/zvwda+DKLvTzuel\nS0k2JvGTqZdQZ6nnX9tfB+D4/OMGPOah0JvlvDMBVFU9VlGURcC9wPf9Pp8DXKqq6trBH54QQggh\ngIDik63WnoOoN3e9D8CFyjkYtAPL3nl5xxsAlDQfoDhlDOBOBq8y1zA6IdeXv5RgiPflbfVkVaU7\nbJicrlCcMoYxSQVkxmUwd+wk6uvMAxrvUOlxOU9V1XeBqz1vC4HGoF3mALcoirJcUZRbBnl8Qggh\nxGGv1dbGzcvuCnjf0/5e3ga+g+GRdU+xtOxbAGostThcDnISsn2fp8ak0GY3027v6PFcje1NAIxO\ndOc/6bQ6xiYXBsx0RbtehaaqqtoVRXkROAc4P+jj14AngGbgHUVRzlBV9cNw50pNjUOvHzk3aCTJ\nzEwc7iEc0uT+Ro7c28iRexs5wfe2taMNvU5PjN406NcqPbifNnvn7EyHq73bP9uKyjLf69gkHZmJ\nA/s9iDfE0mazAPD6zncZOyoPi9YdnI3PKvSNJS8li+31O9HE2chMzgh7PqvdysqqNQDMKZxEZlrg\n+EbK722v5/dUVb1MUZTfA6sURZmsqmqboiga4FFVVZsAFEVZAswCwgZRDQ0jY4pupMnMTKSmpqXn\nHUW/yP2NHLm3kSP3NnKC763L5eL6L39PsjGJPx/3R9rtHayt2sDROXMHPLNS3lrB/61+OmDb3oYD\n7C4rJ9mUFPKYbeV7O4+vrkXfHjugMWTEZNBmK/W9v2/pE2TFuoOkTF22717E4k4I/8/G//LjST8I\ne74vS5dTb3EvbFlanNQ4Ou9ltP3edhfQ9bicpyjKj/2W6cyA0/MfQBKwRVGUBE9AtRiQ3CghhBCH\nFRcuAJqszayt2sAfv/0z/1bf4r09Hw343M9uehGHywHAsblH+rZvrt0W9hj/Jbxm68ADErvL3mVb\ntaUWg9bA2ORC37bZWTMAWFmxpttlRP8xxekHFuANp96UOHgbmKUoylLgE+AG4BxFUa72zEDdCnwJ\nLAO2qqr634iNVgghhIhCDr+k7xe2/huL3b30tbNh94DP3WLrTNQ+sWCRL2h5VX077DFWp833ur49\nOJW57+xOBwmGeIw6Y8D2ZFNSQG+7rLgM5mbPBMDSTRDlcrmDzslpCgnGkVHOIJQel/NUVW0Dws7J\nqar6EvDSYA5KCCHE0Koy17C9ficL8+ZFdcPXaOX/5Jw/F7C2agMflnzKb+dcT1wfClF6z2t1dAZE\nScZE5ucdw96m/d0eZ/MLog62VWKxW4gdwIyP3WnDoDWwcPQ8lpR85tt+Qv6CLvvG6GMAaHeETy43\ne4LM88af2e8xRQMptimEEIIHVz/GGzvfY2fDnj4fu6ZyPfev/muX5ZudDXt4TX0Hh9MxWMOMWk5X\n6J+xsaOJF7b+m2pzbb8aB1vs7b6lQoAYvck305NoTAh5zLLylXzteYIOYHn5Sh5Y/bc+X9uf3WlH\nr9Vx+piTuGnOdQAsyDuG4/KO6rKvSeuerWrwmwHbXLuN6774HX9d/ywN7Y2Ybe786DjDyF3KAwmi\nhBBCAO0OdwDU0NH3pZ9/bHuV0pZydjeWBGz/6/pnWFa+gl9+dQtV5powR3e1pXY7D6990rckNhI4\nXa4u2zRoAkoN2MMEWt3xn1GalDYBAK1Gy9jkQtps5i6FLZs6mnktxDJfjaUOs63/99PmtGPQGgAY\nk1zIE4sf5ELlnJD97byzcl+ULqOxw13G4OlN/wTcy5uPb/g7TdZmtBrtiKlMHo4EUUIIIXz60rIj\nmKabhrHPbf5Xr8/z1KZ/sLdpHxtqtvZ7LEMt1HLewtHzAt7bnV2Ts3tic7iPOTpnLtfPvMq3fUxy\nIU6Xk5KgZb3uCl1WtFX1+fpe3pmo3piROQWA7fU7+cM393YZU6W5mqq2GpKMiSOiyXB3RvbohRBC\nDJh/AGDtYxDln69jsYUvYVPf3uBLJu6taM7MUmv3sLZqIwC7G0v404oHuuyTGRdYJ8n/XvWWdybK\n6JkF8ipOdlcN3xM0+xccBJ8//izfst/Btso+X79zHHb0QWMIJzchJ+D9plp3MHzkqNm+pwvb7GZS\nTcn9Hk+0kCBKCCEOc/4zBe/u6dsD1v7LdGa/5bdaS13Afh0OKy9t/0+P5/MP6Nq6CcqG222fP8QL\nW1+hvr2BR9Y91SWJOjM2nczYwCDqw5JPAnKVesM7e6UPattSmFQAwMGg2SVvEHxC/gLuPOb3HJ9/\nHD+ffgUAr6vvsKvBXT/q0XVP8+i6wNpT4TicDly4uowhnFhPYrnXqzvcy4tjkwtJNnbWtUqNSenV\n+aKZBFFCCHGYC34Evi8zRmUt5b7X/kHU27u61lxeVbm2x9mY+vYG3+uRkJB+27f3hdz+8+lXkGzs\nWqRRrd/Vp/PbPEGUIWgWKMHzlF9bUPuXZze/CECsPpaM2HQARifkUpCYhwsXj65/GofTwa7Gvexq\n3EtvdI6hd0FU8BKdNzF+dtYMnH5J8kkh7s9II0GUEEIc5oKTye9e9XCv83f8l4i8sxxWh42NniWc\n4MTh/c0Hug2Oqs21vtehCjyOBFdN/THZ8VkBT579eva1AGj7WL3cu5wXHMDotDri9LG02cyUt1aw\nvnozDe2NvvpQde31AfueOfZU3/tqSy194f1z6O1MVCgFiXnEG+JYkNeZJxYcGI5EA2vrLIQQYsR7\nXX0n4H2VuZoqcw15CTnsathDdnxW2FmDpo5m3+sdDbt4a9cHvvfFKWO4bsaVmO0WNtdu4zX1HR5d\n/wyT0xSum3llj+ezj4CZqGBjkwuZlTUNCKzEnRPvbtLb1+RybxAVKoBJMMTTamvjb+ufpdXWxqmF\ni32fnT7mxIB9vU/2AZS3HOzTGOx9nIkCyE/Mo9RvltLgKXuQbErkgfl38On+LzmxYGGfxhGNZCZK\nCCEOc61BS0IAtZZ66iz1PLr+Ge5d9Zewxwa3FFlWvpIGz2PtR+ccgVFnJMWUzNjkIt8+2+pVSpoO\nsKx8Je/uDszBarL6BVFRPBOVHpsacnt+4mjfa5PO3Yg4LyHHFwT1NYjyVkIP1X8v3hBHm83s+/P7\neP8XAPxy5tWkxQSOT6PRMCapEK1GS1lrRZ/G4MvL0vQ+iLpx9s+Zl9PZosao65x1SjDEc27xGVFX\nqfxAVQtfbSgPWa4iHJmJEkKIw1iZZ1ZCr9Fx33G38WHJZ3xd9g1mu8X35dxqa/PUCdJjtpk50FLO\nxLTxmG3mLnk1NqeN9dWbABjnFzjlBT2x9dDax32vj88/ztdIt6mjMyiL5pwoJ6ErlGv9qr1rNBoe\nWXgPWo3WlyfU15/Jm2gfqhRAvCEeh8uBBk1AQc78xLyQ54rRm3C6nKysWNOnMXjz2PS63ocMJp2R\n/MRc8MRrwe1iotHrX+xm+/4G9lU0c/lpkwDYV9k8sAbEQgghDk0ul4t/bX8dgKunX0acIY4JKWMB\neHn7fwK+bB9b/xwAD619ksc2PMd1X/yO3y+/q9vzm4K+OH80KXQHsQMtZb7XzQEzUdEbRIVbatQE\nFWYw6ozotXpfINXX2TWn5zo6TeiZKCAggILwVcCLkvKBwF584drV+LM63U/8Bf959uS4vKN9r/uy\nFDhcGlrcT1gu3ViBze6+Lx98s6/bYySIEkKIw1R9eyPlrRVMy5jElPSJQGffM4AVfkHUnqYS3t71\nIVXmat+2nr6Ag790j8mZy9XTLiXGs8zl9fSmf/L3LS9jddgCcqKieSYq3LLciorVYY/Ra3T9X84L\nMRPln7RfmJjf47lOKjy+y7beBFEddk8Qpe1bEKXVaH1PCDp6cZ3hZHc4qazvLKmxclslpdWttFi6\nf5o0+kNDIYQQEeF9gmt0Qq5vW078KN9r/5YjAJ+XLg15nluPvJE/f/dIl+2hlnBmZE7loQVT+Lr8\nW6wOK+/t+QiA9dWb6HB0UNJ8wLdvfyp8DxX/maj5ecewrHwFQJdcJH96rb7PyfLdLef5B1FTMyYy\nOX0CRZ76UaGYdEaU1GLUht1dzt8d30yU3tTDnqGvCWAbQCX8ofDe8sCipf/4745eHSczUUIIcZiy\neBoGx/o9RZZsSuSuY27u03mCi0oCzMmaEbalh0ajYdHoYzmpYFHA9m11KoBvpsrbdy0a2Z12RsVl\ncd2MK5mTNcO3/Rczfxr2GL1Wj9lu6VMdLodnSTPUvUyJcVf8jtHFcELBQs4YewpTMyZ1e76fTb+c\nK6f+iAmpxQHn7463CrqxjzNR3rG5rxPdM1F7yvv3uyZBlBBCHKbafUFUYIXp4PfjPC1GvE4vOpHb\njvqN773/k1cA83KO4IopF/d4fY1fErbeL+fnyFGzAdjXXNqrmZKh5nA6cLlcpJiSmZyuBPwc3hYr\noRQk5tHY0cQdK+7nfwe+7tW1nN0s583JmsEVUy7mrnk39zpfyagzMjtruu/PuDfBjff3pK85UQCX\nTDqf/MQ8zh9/Vp+PHUrxse7fYe8fZUFWAndcfgQGffdhkiznCSHEYcpbYTwmKGgyBeUsZcdlsqep\nc7njhIIFxOhjGJNUSJanP9w9826l1daG2rCb+XnHBAQW3RmTVEhJ837yEnLZ31IKwJGj5mCxd7C6\nah0HWysZnZjbw1mGVoenxYs3qOgIavkSTkHiaLbU7aCuvYF3di9hQd68LgFoMIdvOa9rYrlOq2Nu\n9sy+DL3zWE9Q1psgtdbiXvbtbqkynOy4TG4+4ld9Pm6o1Ta2Y9BriY/R09hqpWBUIoWjEvnbL+d3\ne5wEUUIIcZgKNxMVXJNoa11nfsiMjCm+oOumudf5tqfGpJAakxL28fpwrp1xBSXNpZQ07fcFUTnx\nWYxPHcPqqnWsrd4YdUGUt0+eN0doUtoEjs8/jqNHze32uOBecc3WFjJi07o9pruZqIHQ9iGIqvFU\nOM+K67ofwVmOAAAgAElEQVRse6iobbKQkRxDc5s3/8v9d8Bk7L7CvCznCSHEYcoSJojy9/1xp1Gc\n0rmcd/X0ywZ1DHGGOKakKwFLRd5ZLoBP939Jjbku3OHDwpsj5J2x02q0nD/+rB6DPW9JAq+vy77p\n8VrdJZYPhLdkQm+egKw212LSGQ+JXnehmNvttLXbyUjuzA2MMfWuPY8EUUIIcZjyBVG68EHUotHH\ncvHE88iJz+aKyT+M2FiClxBHxWf5Xm+vVyN23f4IXs7rLf+f0aA1sLR8RY9J5t7E71B1ogbCV/yz\nh5kop8tJjaWOrNiMXi/RjjS1Te5l7YyUGH51/gwmFqRw8hE9l4wACaKEEOKwZXG4g6gYfejijOD+\nso/Rx/DHo37D3FGzIjaW4NwgrUbLWZ6muWWtfev1Fmnt9v4FUd7A8NjcIxmfMha70+5rGByOI0Iz\nUd77be2h9ECLtRWb0+ar93Qoqm1y/z3ITI6leHQyv7t4NolxvfuzlZwoIYQ4TIXLiQL47dzrabW2\nDdnsQ3Clb4Dj8+fz/t6PqfEkNkcL73JecNHQnqSYknlowZ2YdCZe3PYaAGabudtgLFLLefGeGlOh\n+ib68/6OhKuCfihoNrv/PJPj+/70ocxECSHEYcpib0en0YVsyVGUVNBjzaHBFCpYM+oMJBuTqLVE\nW06Udyaq78UnY/WxaDVa4jyzf94nJMNxdtOAeCC8139sw3Ndmkj789WIGgG97/rD6XTxr4/dy8Vx\nMX2fV5IgSgghDkMulwuLvZ1YfUxU5LqEmokCyIhNp6G9Maqql3cmlvc/sPAFUTZ3EBUuN6rV6u5z\n113yf394++gBPLz2ybD7BSfRH2oq/Fq9SBAlhBCiRy6Xi0fWPU2VubpLjajh4n38Pz2oFlFGbBou\nXKgNu/lw7yfDXnyztOUgr6lvA/1rg+IVa+icifqidBm3fHM3VeaagH0cTgd7mvYF9KAbLGOSC32v\nu5vp87V86Ue18pGgorZzOTM5oe9/npITJYQQI0ydpYH69nqKU8b2eRbJ5XKxv6XUVzwzI6b7OkVD\npThlDD+ZcgnjUooCtmd6gocnN74AuHv7zcmeEXx4RNkcNuraGxgVn8X2us4nBUfFZff7nN6ZnWc3\nv+jbVtZykOy4TN/7lZVrqDLXcEzOESGXXAfK3csv9Ayf1WGlpOmALyfKqD80g6hyTxB1zvwxZKX0\nPe9LgighhBhBOhxWbl9xHwBXTLm4zxWrX1PfZvnBVb73i/KPHdTxDUSo4Ci9h2KUQ+G9PR/xZdly\nrp95le+Jxj8dfyOZmv7PDmWGmFkKrny+rmoTAGeMPbnf1+nOrMxprK5aD7gTzP0bGn9V+g3v7f2I\nLE9fxJE+E7V8UwUHqlr44Ynjff/wqGow8+X6cgCOnZbTr/PKcp4QQowg/y35zPe6qq26z8f7B1DH\n5h7J1PShSx7vj+CK3nHdlGOIlLXVGwH4uuxbPt3/JQAJxvjuDumRklrMz6dfEbDNO+sD7hnDHQ27\nAPdTfZFw8cTzfblobdbOZS2zzcx7ez8CoNpTrXwgS5fDqa3dxsOvreeF/27nf2vLqGvuvMe3PLPS\nV6E8NbF/P1+PQZSiKDpFUV5QFOUbRVGWK4oyNejzMxVFWa0oygpFUcK3rxZCCDFgB1srfa+brM0D\nOtfFE8+PiqTy7gQnNDsZ+pyoQk8S9ubabb5tccaBBXMajYapGZM4regEX0V4i18Qtbtx74DO3xtG\nnYETCxYC0GbvTLBeVr6y677a7nv8Ras1O6rZuq/B9/7fn+3C0mHH7uj8PUqINfT770FvZqLOBFBV\n9Vjgj8C93g8URTEAjwAnAwuBqxVF6f8isRBCiG55E30Bmjr6H0QZRsiXYvA4n9z4Ak9t/MeQjiFU\n37rgFi79dcbYUziv+EygsycfwMG2KgBmZ00flOuEk2Ryt3L5cO+nlLa4i5oeaCkDAmtTDeRJxOHU\nanEXM01LcgfjG3bXsnxTBZ98d8C3z3XnTA15bG/0GESpqvoucLXnbSHQ6PfxJGC3qqoNqqpageXA\ngn6PRgghRFgOp4OylgoyYtMx6ow09iOImpQ2AYAbZ/9ssIcXEcGVzAG21G33VQ0fCh0hqnrHDOLy\nlvdc7fZ2SlsO0mpto9ITRJ1UuGjQrhPKtPTJAKgNu3liw9+xO+1sqNlCvD6Oc8ad7tvP2UN7mmhl\n6XC3zfnZWVP53Q/dFfc/WX2At752z/TddtlclILUsMf3pFeJ5aqq2hVFeRE4Bzjf76MkoMnvfQvQ\n7eJtamocev3gFg0TbpmZh2ZzyGgh9zdy5N72zpYqlXZHO0dnz2JLtUpZ60FKbfuZnRv+X9LB9zY+\nxl3SYFJ+EfHGwZlNiaTYjjD/1o+zkpmcEfY4s81CbVs9BSl5Ax6DU9P1CTaNRjNov7fGdneAsrp6\nA99WrAYgPS4VDRqmFozDFMEn4zJJBM/qXYutld8t+xPgXt67cM730MVoeGvrEmYWTSDBNLA8sD6N\na4D39mBNK9fc/7nvfe6oJBI9FcnrmzsD8COm5Q5oSbvXT+epqnqZoii/B1YpijJZVdU2oBnw/0kT\nCZyp6qKhwdzdx6KfMjMTqakJX3VWDIzc38iRe9t7T3/3MgBZxmzqLe4E8fuXPcETix8MuX+oe9vW\n7s67aaxvx6xzRHC0g8PqCN1bbn9lFTHW8F+0D699gr1N+7l+5lU0dTRz5KjZ/W6d0tphwaDVc9bY\nU2m1mX1LYIP1e2tz2D3/2/mz1pkbyIhNp7mhA4jsrNu1M37iKyHhnXU7t/gMampaWJg1n4VZ87E0\nO7EwNH9PB/r/CfXN7dz05LcB2yxtHcTpuwZLtbWtvRpPOD0GUYqi/BgYrarqfYAZcHr+A9gOjFcU\nJQ1oxb2U91CPIxJCCNFn1Wb3k1JWhxWDVu/7wmu3t/e6aKa3LpB+kNuIREq4+kgtfq1KXC4XVeYa\nsuMyfbMKe5v2A/D4hr8D7qbB8/OO7lf7lA57B/GGeBYXRCZbRR/mZ8yJH5oU4ynpE3lw/p98s1Bn\njj2FEyL0s0ZKSUUzq3dUc+a8It5eGpiUf+zUUb6cqL9cfyyb9tTx2epSTju6YMDX7c1M1NvAPxRF\nWQoYgBuAcxRFSVBV9VlFUX4NfII7v+oFVVXLBzwqIYQQAXY3lvheK6nFALy7578AfLzvC84uduev\ntNnMlLaUU5RUQOBCgZvd6UCr0Q56Q9tICbfU4q3XBPB1+be8sfM9LlLOZX7e0SH3f2PXe2yq3cov\nZ10d8vNwHE4Hte31EX06TaPRcHTOXFZWrAnYHly9PZLiDXHce+wfiDfER6SwZ6Td/aL73n286kDA\n9okFKVx5xmTf+5QEEwtm5LJgRu6gXLfHO+VZtvtBN59/AHwwKKMRQggR0sf73PkdWXEZFCSNJj8x\nj4aORr4u+5bPDnzFaWNOxKQz8tauD1hVuZaJqeO5K+fXXc5jd9nDznxEqweOu4P39nzEtxXf+ba1\n2ztwupxoNVrWVm0AYF3VRl8QlRs/ioNtlQHnURt2Y3Pa+xQkrKx0fzlbnaGXFQfLKYXHdwmiBrtf\nXk8iVY9quDx83bEkxEb2d31k/FNECCEOc82e5atrp18JuGcvpmdM8X1usVto6mhmVeVagC592ADW\nVK6ntKUca4inzaJZgjEeJXUc0LnEta/5AL/++jY+3fcleApGuuh8gizc8uaHez/p07UdzqHJG8vy\na/fiFS19DaOdf/PmWeMzGJ0Zzw0XzCA10YQhwg+yjax/jgghxGGq1dpGekwamXGd7UL8+6x9V7HO\nV2Ua3DlD/l8uFruFf2x7dWgGGwFzsmeSHpuGVqPlwTWPsaFmCwDv7f0o5MyazWHFpDMyI3Mq31Wu\n823/rnId5xR/L2DfNpv7gadQtZ+8y4lHj5o7aD9LOA/O/xM2p40/fHNvzzsLAFrMVtaq7n8wTBmT\nxi/Oi2xdrWAyEyWEEFHO5XLRYmslyZgQsN1/+cU/gAKwuxzsqd/Pc5tfoqqtmgpP3aGRSqPRMCa5\nMOQSlzdZ3n8mqsNpxag1cubYU3ytTQDMdkuX429efpcvqTqYt6Dp7OzIfznHG+JIMSVzTvH3MGgN\nvtw3Ed5Dr23gX5+4m0Inxg59AVmZiRJCiChntltwupwkGgMTxTUaDacWneDLlwr215UvUNVaQ7Ip\nkSlR3iOvt7Sa8MszMboYqtqqqW9vpNpcS2FSPmkxqTyy6F4MWj2Pb/g72+t3YnXYAop4Ol3uB85b\nrK0k+gWq7fZ2lpavIEZnojAxP3I/VJATCxb62rGI8Naq1ZRWu0sUTB+Xztnzxwz5GGQmSggholyL\n1f1FkRii6e30jMkB7x847g4Wjp4HQJvVvUx1oLmMDsfQVfiOpFAtWLy21G3nrlUP8fhGd1mDvPgc\noLNMgrd5cUVQwrnX81teDnh/sK2KNpuZo3PmDrjhsBhc1Q1mnnjHvaT7x0vncsMFM8hKHfrisRJE\nCSFElPPWRAqeiQKINwR+ucfqY4j1BAveWlAlzQdotfZcVHAk6Eudp7yEnJDHrqnaQGOHu9mGdxYK\nYFdQ019v4JkYtIwqht+mPXUAjM5MYGxu0rCNQ4IoIYSIcs3emShD1y9z7+wKgF6jQ6fV+eoLNbZ3\n9tZ7fee7ER7l0NB1s5wXLDdhVMD7o0bNAeCL0mW+5G2bs2tLF3DP/nkTzk26weuTJwZHQ6s7wL30\nFGVYxyE5UUIIEaUOtJTx8NonfYnTyaau/+KO0ZuI0Zlod3T4vuyLU8b2+VotZitlNW1MKhy6Ao/9\nEW45rzApn/3NpQHb3AVHOwXP2gEB5R4SPJ83tDfyx2//7Ntu0kWud53on8YW959bUsLw/tnITJQQ\nQkSpd3Yt8QVQ4C60GUyr0VKc4k6o9T55lhmb3m2hxsKkrknSj/xnI//36npKKppDHNG99TtrePDf\n6+iwBtZU2lnayL8/24nD6QxzZN+Fm4m6dNKFvtcnFCzgoQV3BSSPQ+CsnVerrc332htQlTQHVr1u\n8Cz9ieiwv7KFFVsriTPpSUsc3llCCaKEECJK1Xd09nM/Omdu2F5q3kfhvY/4azQa0mPSuuwXq4/l\noQV3cdOc67p8tq/SnXdVVt333KnH3t7MjgON7CoL7D9//yvr+N/aMn764FfsLO22N32ArzeU84tH\nl9LU1rUoaKicqHhDXEDNrO+NOTlkEBlqRmlXwx7fa5vTjsvl8pU18JqcNqHXYxeRd+9L7srus5VM\n9LrhDWMkiBJCiCjUYm2l1lLH2OQiHjv+fn486Qdh+92NTszrsi09tmsQNTohh1h9TLd989ptfavQ\n7V/Q0+5whd3v2Q+29vqcL36s0tZuZ9Pu2i6faTXagLpP4M4V02g03DDrGi6eeF7Y5bfgmSmA0paD\ngLvmlgsXdqe9SxA1Jrmw12MXkdVitvp+zy5YNG6YRyM5UUIIEZVe2PIK4M7P6alZcEKIXJ9QzWtH\nJ4Ruuuq/DLd6RzUnze19TaSGls7SCS2WzpkjuyNwCa++uYNt++qZXNQ1uAvH5gi9DKjTaLG73GM+\nJucITipcBMD41HGMTw3/xRqqsrnV6R5zWkwqjR1N3PD1HwI+TzYO35NfoquqBveS9SlH5pMYN/y5\najITJYQQUaja4p6FOX3MiT3umxSi9EGomai8xNBBVFWD2fd6d1lTwOxST/Yc7Jy1aTV3Nun9zxe7\nu+z70GsbesyPamrtDMraraFnxbSeJT2TzsiPJl0QsJTXneBg1OVyYXW4x5wR4n4BxBq65lGJ4ePN\n2csehppQoUgQJYQQUSjeEEeMzsS83CN73DfBGM/1M67ijqN/59vmDSzG+z2plxsmp6q6IbAVyi3P\nrsRm710y+N6DnUnXyzdXYLM7aTZb+d/aspD7r9xahbk9dFkBgLKazkTvcGPwJpcbtANr82F3OXzJ\n5KmmlJD7LBp97ICuIQaPy+Xif2tK0Wk1zJrQu8A50mQ5Twghokx5awXlrRUhl+TCmZQemPw8MXU8\nN8+/liRnOnuaSthUszXsct6T724JeF/dYKGsppWiUYm8+dUepo9LRykIPZa6pnbf64o6Mw+9tp7C\nbPfM2NQxafzs+1NoaLWyt7yJf3y0g+eXbCc+ZheP3bAAm92Bze4iLqbzq6imqTOgC14S9DJqDViw\nhFye68lxuUex/OAqAD7Y8zFWpw0NGianK3yy/wsA7pl3K0vLV9Bu7+C43KP6fA0RGe8tL6GmsZ0x\nOYkkxw//Uh5IECWEEFHnle1vAu48nf7SaDTMzp1GTU0Ls7OmMzsrdANdm71zySwh1kCrxb28VdNo\nQa/T8tGqA3y06gAv3LwY6Ewk12g0uFwu1qg1AefbVdbkW4Y7+Yh84mIMxMUYiPcLlNra7fz0wS9x\nON3neva3i3xPWdU3dwZl4WaiMuPSabL2vRQDwA8nnse3Fatxupx8XrqU/IRcjDoDxSljuOWIG8iO\nz8Kg1fP9caf16/wicirr3cvOs6NkFgpkOU8IIaJOeVsFABdPPD/i1/rnRzsAOHHuaP72q/lcfaa7\nF9/T721FPdDg2+/dZe6WKEtW7OfKB77k6fe28MpnO0Oe09sUNjejM+E9JcHE9HHpvvfeAAo6yytA\n4MxWuMTyrFj3l2hjP+s3nV50UudYWw/62umMTsz19dkT0cebSD5tbHoPew4dCaKEECLC/Puz9cTq\nsGJ32pmUNiFkcc3B1NTawYqtVRRkJfgeF0+I68wz+nDFft/r97/Zx1tf7+Htpe5g6rvt1Xyxrrzb\n88cYAwOSn31/CnmZXZ8k/PNLa/nnR9tpt9oDg6gwM1HZ8QObiTil6HjmZM3wvb9IOWdA5xNDwxt4\nD3dtKH/RMxIhhDgE1Vrq+P2yO/mo5H+92t/bry3eEPmnjw7Wua81vTgDg96drJ2X0dmfrzmo2OUS\nv6DK3+9+OCvk9hijLui9nruvPIr7rjma+dNzWDSrs77V0o0VPPjv9ews65xdCpcTFacf2L3RarQU\nJXe2hJkkxTRHBO/vg06n6WHPoSNBlBBCRIjL5eL5La9gtlv4quwb33any8lzm19iVcXaLsfUtbuX\n0EKVLRhsbZ78p0S/2afURBMP/vyYHo8dl9tZP6l4dHKXz8+cV4RWG/rLLjs1jitOn8SPTw4MXrzL\net7ga3dZ6OW6aRmTyIhJ47LJF/U4znCyYt2zfDMyp/b7HGJoOTxFNvXa6AldomckQghxiFlXvYkD\nLe5H/QsSR+N0OWmxtrKyYi0bajbzr+2vdzmmvNWdD5Ufogr5YGttdwdRCTGBpQISYwOffJoTlMj7\n+4tn8esLZ/re63VaFszIxWTUoQGuO2ca5yzouQmyRtMZZMWZOpf+LjlpAskJRmqb2mk2d239kmhM\n4M55N3PkqNk9XiOcKekTuX7GVVwx+Yf9PocYWt4aY9E0EyUZdEIIEQHlrRW8sPUV33u7087L299g\nVWXX2Sd/HXZ3scmhWM7zzkTFxwYGUUZD4L+va/3ylOJMesbnp6DVaPj1hTNI8Bx7+WkTufy0iVg6\n7MSaev/VctNFM/l0dSlZKbG+2lKTi9I4sbWDt77ey6qtVZx0RO8rqPeWRqPpUhZCRDdvuxfJiRJC\niEPcv3e8FfC+0drE6qr1XfZbXr6S8tYK7ljxAJtqttLucAdRJl3ku9O3eYpexscGBj3+M0SLZuWR\nntzZzPeuK49E6/l86ph0ikYFtkXpSwAF7oDphgtmkJLY+fOmJBiZMsZdQfzVz3dR3WgJd7g4jDi8\nOVFhlomHg8xECSHEINtcu419zQcAGJtcRFnrQarNXZvpAryqvo0GDS5cPLflJebnufORhiKI8taE\nCl7O8/fDE4qx2p2UVDRz3sKxpCXFhN13IPyDL41GQ0F2Z07YOrWGU48qCHVYv9U1tfPnl9fyo5Mn\nMGt89NQdEqE5nE6snqc19VG0nCczUUIIMcj2N7uXpU4tXMxv5lwbUHvo9KITeWLxgwH7u3AvUzhd\nTrbWbgfcfeEiLdxyHkCSpyK0Qa8jPsbAw9cdy7ypOREbi1Ef+HWk1Wi47pxpAOyr7F9hze6s3lFN\nQ0sHj721edDPLQZXc5uV3zz+Ddv3ux+60EVRYrnMRAkhxAC0Wtto6Ggi36+5b7PV/ZTZEaPcj/7r\nNZ2P+ht7CI5q2+sBSDR2rac02Nra7WgITOr2uv+ao305KEMh1JN8sydkYDLqOFjbFuKIgfFvhNzQ\n0kFqYuRn/kT/lNe20ezX3DrcU5/DIXrCOSGEGIEeXPMY969+1Bc4AZS2lKHVaEnxNLVt8vusN8t0\n6TGpxOpjB3+wfuwOJy1mK3Ex+pBfSjFGvS9pfCiE+lrUaDTkpsdRWW8OCHoGavu+et76eq/v/VNB\nvQNF9KhramfNjmoAjpmSzXXnRFdJim5nohRFMQAvAEWACbhHVdX3/T6/EbgK8DZPukZVVTUyQxVC\niOhidVip88wc7ajfxZGjZlNrqeNASzmT0xRi9F0DJqsz8JH9q6ddRn17A7sb97Khxv1lPjrC5Q2c\nLhe3P/8dlfVmslIjG6z1VkaKexzZaYFPJeamx1NS0cJ326rZtLeOn5w+0VcYtL/+5reEl5pooqzG\n3aam1WJzB5Wa6JnpOFxt31fPsx9so8mv4Ous8ZnMUbKGcVRd9TQT9SOgTlXV+cCpwONBn88BLlVV\ndZHnPwmghBCHjZ0Ne3yvvYnkG2u2AjDLr+HvDyac7Xs9OsG97JdgcC/XpZqSOT7/OH467VK/fbrP\nPfr0uwM898E2Gls7+jzm2kYL//xoh6+Za35mQg9HDI3ivGSuP3caN18SWPvJ23/vuQ+3sWpbFWt2\n1IQ6vNfeXbaXDpu7QfLUMWmkJ8VgtTkpq2nll39dxq8f/4Zms5WPVx3g/W9KBnQt0T8ul4v/e22D\nL4BKSzJx2tEFTB2bNswj66qnnKg3gDc9rzWAPejzOcAtiqKMApaoqnrfII9PCCGi1lOb/uF73e6p\n77SmagNajZYp6RN9ny0cPY8FecdQY6kl01Mp++YjfkVJ8wEKkkZ3OW9WXPinxbbvb+C1L3YDUJid\nwMlH9u2ptfteWUdDS2fwdcHx4/p0fCTNntD1587JCMwNizENbBbq/W/2+V5fd840Hn97E06Xi1Xb\nqgB3EvMNf1vu2yclwcSCGbnBpxEhOF0uPv2ulKlj0hid1f/gfPOezidZzzq2iLPn91y4dbh0G0Sp\nqtoKoChKIu5g6o9Bu7wGPAE0A+8oinKGqqofdnfO1NQ49AOcihWhZWZGvk3E4Uzub+SMpHvrcrl4\nc+sSilIDC0C2YyYzM5FqSw35STkUj+76xZtFZ02lTBKZQOgiktlpKWHvyVPvb/W9brM5e7x3wZ/7\nB1D/vP1k0pOjYzkvnHHWwFyojLSEQft9yctNJjHBveTa1uEIuc//1pZx3olKyM9G0u9tJP37kx1U\n1rURH2vgw+UlfLrGxEt/OrXP52k1W4k16Xnhox0A/N8v5jOxKPpmn/z1+HSeoij5wDvAk6qq/ttv\nuwZ4VFXVJs/7JcAsoNsgqqHBPKABi9AyMxOpqWnpeUfRL3J/I2ck3dsVB1fzv9KlVLa5Zy0MWgNZ\ncRmUt1awsXI7n2z9hnZ7B/H6hH79TAWJeRxoKUfXERP2+MbmzurhpRXN3V6np3vrtNqj/t6bW9sD\n3v/puRXMHJ/BL86bHuaI8JzOwKcNa2tbweXetr8idBmF5jZryHs0kn5vI2l/ZQuvfhqYydNqtvXp\n3qzeUe1L7p89IZOapnbiTHrS4w1RcY+7C5Z7SizPBj4FrldV9fOgj5OALYqiTALagMW4k9CFEOKQ\n9PKONwLe25w24vWdidDPb3kZgPyE/iWG/2Lm1dRYaslNGBXyc3O7nZKKFkalxdHY2kFJZTMOp7NP\ndXMmFaayfX8Df/jxnH6NcagZDYErFy5g/a5a2tptxAcVCX3zqz0cqG7hhgtmhEwO9+ZC+Ys3uc/h\nLaPw7G8X8eG3+3zLfs1tVuwOZ1S1GokmO8sau2wbm9P7Gbry2raApyPX7XTnvOWkR77t0WDo6bfi\nViAVuE1RlK88/12iKMrVnhmoW4EvgWXAVlVV/xvh8QohxLBoaO/6ZQEQo4/hmmmXBWw7bcyJ/bpG\nnCGWwqTwfeK+2lCO3eFk2th0DHotTa1Wnv9we5+uYfAUtczNiHwdqsFgMoRO/6gJagVjtTn478r9\nbNlbT1Nr16bFEDqImlSU6vtMp9Wg12m7VGX/esPB/gz9kLKrrJGPVu7H5Qqczdu4252/dM9VR3Hp\nqe5lT4s19NJoMKfLxV/f2Oh7bzJ2/llPjvJlPK+ecqJ+Bfyqm89fAl4a7EEJIcRwcTgdvL7zXWZm\nTmVyemcujNrgSeZOysfutFPeWgFAnD6W6ZlTOG/8mby16wMKEvMCKpQPpje/cj8NmJEcg8WTw7Ny\nWxVXnjGp17NRNk/rDIN+ZMysmIyhx9nQ3EGR34Td3oOdy3G/eeIbpo9L51fnTw/oA2jpCH42Csbk\ndOapeQO2UUFlFqKotuOwue/ldYC7BMWkwlRiTXrsDie7y5oYnZlAbkY8uRnxfLzqAA0tHbhcroB7\nH8q3myupbWpnZnEGvzhvGk1tVt76eg/5o5JZMC17KH6sARsZf4uEEGKI7GrcyzcHV/HExucDtr+/\n52MAfjTxAopTxvi2Z3uepJufdwxnjj2Vn02/IiLjKvHL2clIiWGu0vkk28erDvhet1psbC2pDxkw\ngDuI0mo0I2Z5Klxw2GKxBbz/fF1ZwPtNe+rYXxWYT9Pc1nWGKsZv9sPsuWfjRydz0QnjOWNeIQDO\noSvcHvUef3sztz//HdUNZvYebMZqd6Lkp/g+z8uIp9ViC6gwHorT6WL9LvfS3fTidDQaDSkJJq78\n3mQuOXUiMcaR0VBlZPwtEkKIIbLLr/aTV7W5hiZrMxo05MRn43B2Llccl3cUAAatnlOLFpNsSupy\n/OYSzwwAACAASURBVGB4b3lnzaKZxRlccfpEika5c0/e+novHZ4llFf/t5OHX9/A42+H7glnsztH\nzCyU160/msP0cekB29osNirq2rA73DNrOzx91fztKQ9MFv9mSyXgzgv73Q/dLXlCLRdqNBpOPiKf\nCZ7gIFxAejjJ81v+rWtu5+ZnVvL21+6/KxML/YKoTPd+r3zafdnINWo163e5lwInFqQO9nCHzMj6\nmySEEBFkdVj5eP8Xvvfe2k9b69xfCAtHz0Oj0XBc3tEAXDH5h8QZhiYBtrbJ/ZTafdccjUajwaDX\ncdEJ4/0+t/D+8hJWbHU/ORjcb87lcvHku1vYX9USMjcomhWPTuZ7x7hnhY6c5K5Y/d2Oav7w3Coe\n+c9GbHYnbe32LrNr/kt8gC/QPHfhWCYWur+4/VveTPCbUQGI9fQUrKiTp8pDrcztLGvCZNQxa3zn\nrOhcT0XxNWoNrZbws1H7KztnCZPjI99sO1IkiBJCCI/PDywLeP+bpbex4uBqlpWvQK/RcWrRCQDk\nJ+bxxOIHmetpMDwUmlo7yMuIJzu1M2gb7Vdt/C//2ci7frNVTW1WzO021qo1dNgcVDdYfD3IRqLx\no1N46tcLOfNY91Kq90t4+/4GrnnoKwCmjU3joWvnccflR2Ay6thX2YzT6eKjVfs5UNVCbZM7Gb0w\nO/TTYzdcEFg2oSArkZz0OFZsraTc0xpmKNQ0Wvh0dSk2e/QEux02BykJRiYVBs4aTS1KCwhEC7IT\nOW66u+J+cBBldzhxehLTvYH8D44v9gWrI9HIHbkQQgyyGot7eUGDBhfu/7N/d89/abW1MSNzKonG\n4WmR0mF10NZupygncKkwLkaPQa/FZncGFNH0evyNjSzbUM5Fi4vJG0AF6WhhMuq6XYpsNltJS4oh\nLSmGjOQYGls6WLbpIG98uYc3cC89xZp0XWaszpxXhAtXlzwcg17Lwhm5vPbFbraW1JMX4RY5TqcL\njcadd1Ra3UqsScf86dFRLb3D5iTWqOOa709hnVrDvz5RycuM5/LTJ3bZN9HTuHprSb0vSf/dZXt9\nZSMuP22i7/d13tTQ5TxGCgmihBACdwPhbZ5lu3PHn8Fbuz4AoNXmXhbL8rRrGQ4Nnh55qYldGxr/\n5sKZ3P/KOt/7n5w+iW376lm5rYp1O9xLe2t21nR5bH+k0nfzqJzBLziKMehoa7fz4seBuTnFeSnB\nh3HOgvBtRbxB22tf7O5zi52+uvvFNQHJ8G2W6MnF6rA5SIk3khRnZNGsPBbOzA379J13ZumVz3ay\nfHMFt1wyO6DdzkufqKQnxxBr0pMYZwh5jpFClvOEEIc9p8vJYxueo8XWSqw+loV587hx9s85Pv84\n3z7Z3fSzi7QGT5XytBBBVPC2Y6Zmk5nibuWi8wQVu8uaKBvC5ahI6u6pQv8v9aYQT+IB/PTMyX26\nXnCxz0gpq2nt8jRhtCS0u1wurDYHRr8nGbsrX7BoVmex2f2VLbyzbK/v/cziDBxOF9UNFnLS43os\ngxDtJIgSQhz2zLbOwo0WuwWdVkdxyhjOH38WU9InEquPDagZNVRsdiefri6lrMY9G5YSIohKjOtM\nyjUatOi0WvI9S3f+j/T7zwSMZHpd+C/d0z3J59CZiO/ve8cUkhDbt5mPY6a4l5uMhsh+Xd7+/Hdd\ntjWbQweCkeByuViyYh9PvrOZqqD2bHaHE5cLTL18qjM+JnCR65PvSgH41fnTA4q85qaPjIKv3ZHl\nPCHEYW9V5Vrf69OKAquNXz3tUgD0ESqg2Z13l+3lI78aUP5J5V4mo46c9Dgq6sy+VidTxqSh02pw\nHIIFjnRhZqJ+f/EslBCPyms07vZ49/70KHL68aWt1WrIzYinqbWDLSV12B0uYgy6QW0+7HA6Q273\nf4Itkirq2njm/a0cqHLPVq5Ra/jdD2f5nmDssLnH19tZuXCzS9PHpZOWFMN/V+4HIC2p6z8KRhoJ\nooQQh72l5SsAOLnweM4Ye3LAZ8MRPHl5+4iBOyHaWxcq2OwJmSxZsZ92zyP8sSY9mSmxVNYHzijo\ndVouXFwc9jwjQbiZqOAA6o+XzmX9rhrOWTA2ZB+9vog16ThYa+cvr3e2KJk/d/Dyo8LlPpVWt7qX\n0SK8pPjH51YRHG7/7a1NPHHjAj5csZ/3PU99+rdl6cnJR+Tz6epS3/uJBSloNBrysxJ49BfH8cnq\nA5wwZ/RgDH9YSRAlhDistdvbaWxvJNGYwJljTxnu4fhUN1qoanAvM95x+REUdhP4TCpMZcmK/QHb\nctLjugRRY3ISR/wXl1ajQQMBX/qjQzw1NzY3ibG5g1P4NM4U2eRnbymABTNymT4unayUWJZtquCz\nNaXsKm9iSgT7yO0ua/Ldy4zkGO644gh+8egyrDYnz7y/le+2d5bFCNfHMJSLThhPSoKJ/3zpbpfk\nX8YgKd7IBYuKB2X8w01yooQQh7Vt9TuxuxzMzzsGrSZ6/i/xSU/F8cLsxG4DKICUhK7LIqGWrorz\nkgdncMNIo9EELOkdPzuP68+dGtFrmkLkQ7UPUtL3ht21rNjqrqSeEGtg9oRMRmcl+ALAh1/bMCjX\nCWfbvnoATju6gJsvmU18jIFFM3NxulwBART8f3t3GSBXdTZw/D+67paNbDbZTW5ciStBgxSKFbfi\nWqEUKJS2QCl9CwVaWijSIqW0WJHiIUASIpCE6OYm2dhmd7PuMnrfD3fm7kzWZdby/L5krs6Zs5OZ\nZ448ByI7mc8pMGDvrQH6vU1aooQQxzT/QsLZcaPaObN3OX0LBV96yth2z02O09MXBK6nl5YY0ey8\nrEEQRIHepef26K0bl50c+gH/uUdlPgeorHXQnbDA7fHy+spcPv22qcsrcND7pNGha33yq2t0GQla\n508cYqTBWDhlKF98V9Ds/MjwzoUMNqvZGK/XX2Ya9rT+87NLCCF6Wb2rnm+L9F/6KZFJ7Zzdeypq\nHBwprycu2k7W0PYDH7vNwt9+tpQbzm5qkZk8OomxGfFcuXwcU33rzg2eIEr/6rL30hqAp8waAcDd\nl85g+Vx9LNQzb28z1u3rim25ZUEBFEBURFOQEhVuM/5uO/aXd/l52vL0f7cbjxNimvKIjR4ay2Un\n68H7mOFN75nI8M53a/pnisYO4KVd2iItUUKIY0pu5QHyawtZPHwen+etorShjElJ40kM7z+LoP7t\n3R0AJHUiQebR+ZPio8N49PYllJTUMHdCGnWN7gG9RlmglPgIahtcQcuNhNKJs0Ywf3I60RE2Yx29\nb3OKWDI1vcvjlcp8ub/SEiKMsW8JR3XLnrlgFNv3l/Pc+zt59OYFPf56dxxoWrT56FamJdOHMTU7\nmUNFtew5vBWA+OjOv38uP0UhMSac0+ePbP/kAUiCKCH6gfWFG/nk4Ep+PONGou0DP3dKf/bYpr8A\nMDVlEmsLv8VqsnD1pEv6uFRNNE0jt6AKgItPbL8rryPsNsugGpMyIjWa/YXVLS51Ewpmk8noaps/\naQhbc8vYtLuE+saud1H5c0BduXwcw1Ki2XWwgvGZwYH86KGxzJmQxtfbj3CkvD4ox1J3qYeaAqi0\nhOZdv2aTicTY8KB8W6PSOz9QPzLcxgXLBscg8pZId54Q/cBLOf/mSH0xO8p2del6TdN4J/dD9lTs\na//kY1RxfQk/X/VrY/uJzU9T6ahifJJCmCV0LTSaprFqSwH5pXUdOr/B4cHt0ZialdRjs8sGm+Ep\nffdDw2oxM32MvgRQV8b56IkrNapq9SAqLjqM6Agbx41LxWJu/pXsX+qnrtHV7Fh37C/Uc1CF2y3c\ndenMVs8LnFXX0gSGY50EUUL0Iwdr8to/qQUFdUf45OBKHt/8dA+XaPBYnb/eWAcPoKhez8FU2VgZ\n0ud966t9/P3DXfzrs91B+9duP0J+C0ux+NfJG6xjSHpCuq9FpqXUBr3BH1h0doZedZ2TW/74FW98\nmUuxrwuvvS5Wfzet29318VctKfd1J9558fQ2y+DPPt7dXFuDlXTnCdEPhFvCaPQ42Fd5oEvXlzU0\nDTzVNG3Ar0cVCm5N/8JLDk+ktLGpvuakHxey51QPVRj5mxocbryaRm29i735VTz7/k4AXrhrWdA1\n+/L1rryMtIGbEDPUJoxM4IazJhoZtXtbhC/pZIMvuWlHHSqqwen28uE6PQt9TKSN8HYSWPqTi7p7\nOPu8PzFre2kLEmPD+fEFUxnWg12Jg4kEUUL0MU3TcHn1L/iShrIu3WNXxR7jca2rjhh73/xC78/K\nG/UxID+fdRtv7HmP3KoD3DjlStIiU0PyfHsOV/LIq5uN7XC7lefe28m6nUUtnt/gcBMRZqXGl3gx\nJb7jg8qPNSaTidnj0/rs+cP9LVFO/f+t2+PlpY9Vlkwb2uZsyqMXRb74xLHt/uDxd/F1ZyZgS/z3\na2tBZ7/Jo/vPzNX+RoIoMaDVNDYQZQ/D3MJYgoHC7XXj0fRfhY0eBw6Ps9NjdDYVbzUeF9WXSBDV\ngrKGCsIt4URYI7hs/AVoaCFLrtngcPPIPzcH7TtSXk/OwYpm5973/HpOmzOSFz7I4bylWcY4m4hO\nJjYUvcf/t2lw6P9vd+dVsnprIau3FjZrWQx09Fp4M8amtHJmE5vVH0Q1b4nSNI380jqGJEZ2KBgK\n1JkgSrROak8MWJ+rW7jr6/u59Yu7cHs616zen7i8wQNG1xSs79T1To+LWmfTWJ/i+pI2zj42aZpG\neWMFSREJmEwmTCZTSLOTr9lWiFfTv/ROnzeSiDCLMZMsMKEiQH5JHc++vxOPV+Pfn+81xspIENV/\n+bvzDhbV8Mk3eVgCUg8UV9S3dhmb95RitZg5Z/Fofn7xdCNAaovF353XQkvU5j2l/PL5Ddz33Hoq\nahy43J5WFzP2K6qo562v9lFSqY+JkiCqe6T2xID1wf4VxuOPczb1YUm6x+UNDgALa4906vrCuiNo\naIyIHgo0DZjuL7yaF6/W9MFe6aji9d3vBA3yDrVaVx2NHgeJ4fE9fm+X20P1Ud00xZV6IPTTC6dx\n7pIs7NamcS+nzB7RZmvFN7v0pTaiupDYUPQOf3fewSM1vLZiD0+93ZS08rH/bGntMuodLoYkRnLG\n/MxmCya3xtpGd96hIr1lq6iigXfX7Of6P3zJ8//LafVeXk3j4Vc28f7XBzjou7a1BZ1Fx0gQJQak\nnYV5NNibgo2v87/tw9J0j9vXEjU5eTwAta7Wf8m25HCNvjzDpOQJAFQ5mi9R0Vc8Xg+3rryLW1fe\nxVt73seredlQuIkvDq9hxaGveq0ceTX5AAz3BZo96am3t/OjP60OmoJ+wDd9fKRvcHjgWJhwe/st\nTDGRti4lNhS9w241ByW+9C8gDJDZyjqHmqbhcHoJs3fua9dq9bdENe/O8yfsBPjSt0zLuh1FaFrL\ng9DfWbW/WcBv7aWs74OV1J4YkDYd1qeLTw1fAm471VpxO1f0X27foPIYWzQmTJ1uoTlcq394Kgl6\nQrtvijbz6ManqHbWtHVZr8irzTcer8j7ip1lKqWN+uD5Lw6vYU9Fbq+Uo94XmMaF9WzepbpGF1tz\n9dfzra8F6XBJLXvzq5g4KrFZ1x2A66ip6uctzeLM+ZlMCEi0OGZ4vMyw7MdMJlOr3a2xkcHB7wsf\n5PDpN3l4vBpeTSOsk0lP22qJKgtIhBmotZxkew7r6Twy0prGTErqgu6RIEoMOO9sW8f2Mn16+NDY\nZExeG157HZsO9c4XckcFzrpri9N3js1iJ8oWSa2zee6gtuTXHsGEiZGxI4x9+6oOGukS9lUd5FD1\n4U7ds6fUuRqCtv+x819GQlCnx8njm59hY8E2QF8IuKS+rNVf0d3h8XUnWkw9O87o3yv2Go8PFel/\nt6+26EHtkqlNrV43+da0MwGTRunLhPj/PW5cKt9fPJo7LpxunJ89SNa4G8zqGlpOfvnZxsNGJvMG\nh5vVWwv514o91PsmDAR27XaEv6WopTxRpVWNxEXbjXxZcyfqMxZ/+fwG9h21aHJ9o5tdh/Qg6pRZ\nGZ0qg2idjFwUA0LOkTxW79/GvIyJfFLyFvh+7KXHJqPZ9V9dz+3+G3/JeKQPSxnsg/2f8sGBz/j1\nvLtIjmi+vpamaWhovLnnXUAfEJ4UkcjhmgI8Xg8Wc8c+bKscVcTao7Fbgls93tr7PtNSJ/PoxqcA\neGrZ77v5ijqnzlXPX7Y8D4DVbMXtddPgbqTB3YjdYsfp0bsVNhZsI2NkJr/d8EcAbGYbs4dM5+Jx\n5/VYWfw5oiw9NJg8N7+KuCg7q7cVGvv83Xkb1RKiwq1MzW6aFn7cuFReuGtZUA6v286bQmWtg+S4\n5ktupLawDIcYOG55/Ct+cfnMoK7bHz25GgC7rXPvwdZyUnm9GhU1DjKHxPDDMyZQXNHAmOFxrNuh\np9DYkFNkZLx3e7w8+u+m2aKTRndtvT/RXJt/TUVRbIqivKwoyipFUTYoivK9o46fqSjKN4qirFUU\n5drQFlUcy/7+3Vt81/AFf1WfCtqfkdg0Rdhk1nhxw6e9XbRWfXDgMwDU8j0tHn9i8zM8uvEv7KnU\nW2YOVueRHpWGR/N0OF+UpmlUO2uI9XVTXTrufKJskQCUNVawr+pgd19Gl+0PeO7zx3yPKckTje20\niGTG+rofy+srcHmaftW7vC7WFGxgf9WhHiuLf8aStYOBaWu27Svj+f/t5KGXN/LwP4MnM2zIKSa3\noIqKGgcjUqOxtdDiENhFZ7WYmwVQ/qNR4fL7tr9L8QW697SyZMoL/8tpMSN9Zxcs9gdi/pxUfodL\navF4NVLiIxiSGMmUrCQiwqzceu5kAD75Jo97n1tPzsEKXvpINZZ5uXL5OGIi7cwYm8JMpf0UC6Jt\n7YXElwJlqqouAk4F/uw/oCiKDfgjcDKwBLhOUZS+y34mBq1bPvoVdfb8Fo8lRQbnQ9pQ+ynF1VW9\nUaw2BXZJvaq+ydaSHXgCZuHVOGvZU7mPA9VNgUJKRDLpUfp/oSN1TQkZ2xoo3uhx4PS6iLPrg1nn\nDZ3FIwvvN477W6H6QkHALMNxiWO4dvJljIkfDYBb83DrtGuwmixUO2pbHAf2cs5/jMeaprGrfE9Q\nYHY0r+alopUlXPx5uCym7gVRf/zPFtZs01+XP2XBuIymGX8PvbQRoMsLxT5wzRx+sCybsSN6fhah\n6FmP3raYh6+bS/bwOP78o0WcNndk0PHCsnpjpqXfBcdns2hq5yY3RITp79mte8vYFZBnbNVWvRV0\nphKcLDYptilJa0FpHf/3r81Gi+kdF05jse/5bzlnMjd/f3KnyiKaay+Ieh24z/fYBASGwuOBvaqq\nVqiq6gRWA4t7vojiWPbfrWvR7MGz1UzOSOOx2Wwm3j066PiOI33X+uJXftSX+TPbXmTdkaYZhPd+\n/dtm1/xw0qUM8WXPLvQFUZuKt3LPmgdZk988d1Sju5FHvnkCgFh704wgk8nEomHzuv8iuulIvf4F\ncv/cO0mOSMJsMpMcoXdxpUelYTaZcWse9pYfaLE+7Gb9F7hX8/Krdb/nT989y1+3/r3V5/v4wOfc\n+/VvWZm3mo8OfB6UVsEIojrYElXf6GqWb6e1wbpR4TZuOGti0L4fLBvToec52tDkKE6ZnSGDygeA\nhNhw0hL1z6LIcFuzIAr0rl17wOy3sE525UFTOoXiygZ+/6/NaJqG0+VhxUZ9nGNgtzFASnxEq7mf\nxgyX4LyntdlmrKpqLYCiKDHAG8C9AYdjgcCf/DVAu6MhExIisXZyYJ3omJSUwbfW1ubibUaoP4Rx\nDIlO4/TJc3lo7SNYnXGkpMTw2Lm3cv3rD+Cy6+uhOXCEpC46c8/CI80Hch9xHiElJYY6Z70xI8/v\n0qnnMC4jg+hqG2yFBlM9KSkx7NijD6B/VX2Ts6edGHTNze8/YnT7DU1MDSrfrSmXM2xnCq9t08db\nmU3mXn9/ONAHlWcNG0q4VV/9/ZrYC4jfEc35E08nOiyKmLBoahzBXR4TUsaws2QPidH637e8vpJS\n3+usc9UTGWchyh7J0T5cqXefvuEbYzY9YxyTUhUAwkr0z5zE+Jh266G8upGf/fFLlh2XwQ3nTDH2\nf7pJbw09e0kWhaV1rN+ht0gNSYnm9MXZDEmN4VfPruPc47MZmt5/BoYPxs+F/iKwbh2ulhP+piVF\ncvlpE3jj8z2cvjibqBZmbLYl0athMZvw+NbOs0XYefG/TXmp0oc0f6+9+sBy7n16Dbt9A8lnjEvl\nvOPH9Kv3ZXsGyvu23Y53RVFGAG8Df1FV9dWAQ9VA4KuMAdpdDr2ijWyuoutSUmIoKen7Ke09rc5d\nZwwiv2/Z1cb+CzOuJD02wXjNv15yK/esehisTgrKy3q8LjpbvwWl+pd+nD2WKqfeHVdVW0tJSQ05\n5Xp6BrPJbLSWxKK/lkaHvl1RW01JSQ3hWtOYmcKiCqy+1hmP10NJXdO4qZkJM5qVb2HyAqInxfH2\n3vcpa6zgSFFlh1tiekJZXRV2s42aCic1NOWmOWPEchqqvTRQw9UTLuaJzX8zjsXYo7l6/KXcUXI/\nDY1OSkpq+OLwuqD7qofzGBGjd0m8vvsdvivZzh0zbzZm4PltO7yHNLN+XnWtHtDV1Tgosbb9d1yx\n8TANDg//W7OfcxeNAvQ8QP/6RMVkghOnD+ONL5tmgo4bEUdJSQ0ZSZE8dO0chiRG9pv/i4P1c6E/\nOLpuvQELBB83LtVIeTE1K4mstGh+ftF06msbqa9tOS1BW1ITIigs0787L//Vx8b+E48b3urfd9yI\neCOIWjRpCEPiwgbMe6G/vW/bCujaG1ieBnwC/FxV1ReOOpwDjFEUJVFRFDt6V97abpZViCCNvsbO\nu6fdGbR/UfYEslPTje24iCjOGXk+oGfs/r+Vr3HTp3dT1RCarNh5Nfm8m/tR0DinQPVu/QPve1mn\nBuzTv8gP+AZMXzvpMq6bfDnHD1/I+ES9+yfCqgdNm4q34tW8RFibxje8uutNKhorqXPVc9sXdxv7\nH154X1B3np/JZGJ66mTKfAvvBi5S3BNW56/jL1te4Ehdyzm6ap11RLezht/YhGweOOEOY/tH068n\nwhqBCRNuXxdcUZ2egd3f1VneWE5eTQEPrH+ULw6vodJRZXQHJoUnMjRqCKC3YhbUHkHTND7Yr084\nMLczJsrh8vDPT3cb29X1vhmEqv4aR6fHEhluNQYHL5+TETRQOD0pSrrijlFms4lTZo/gyuXjuOns\nSTxzx1JuO28KZy8c3f7F7bj9/KlBY+/8zl+a3eo1/rQHILM9Q6m9lqh7gATgPkVR/GOjngWiVFX9\nm6IoPwE+Rg/GXlBVteXRv0J0QYPTiWavJ8yRyvDE5HbPn5UxljfzTBS49+O112KywNr9uzh1Qsuz\nZ7rjyc1/o97dQGxYDN8e2cypmScwyZdx3OFx8pr6NqCPVbpn9o/57YY/Uu/LmbTfN5g8My6DWHsM\nU1MmGfe1mZv+S5Y1VNDocRjb649sZP2RjRyXNs3Yd+OUq1oMoAIlhSdQ1ljBZ4e+YmLSuG6+8ib/\nUt8CYEfZLi4dfwGZsSPYU5HLnsp9XDXxYmpctQyLSm/nLjAmaRSnZp6AkpDNEN/AeovZYoxjKmko\nBeDEjCW8sut1/rbtpVbvdf2UK0iJSObOVb/iQPUhHtrwGFdMuLDDr+mTb/KCtn/05GrOW5rFF5vz\nsVrM3OjL9zRTSeHXV89mWBcHkIvBKXAsnM1qZlp2+59bHZEaH8Ht503lz29tZccB/UfRcUpKm2vv\nTclqGisVHx3WI+UQzbU3Jup24PY2jr8HvNfThRL9S1ltNWFWO9Hh4e2f3IMKqvQxThGWtlsz/GIj\nIjB5wvDam8bYlNRVtHFF1/lblV7f/Q4Az21/hceXPoTL4+InXzYNHUyPSiMhPJ6EsHgqHXqrWklD\nKdG2qFZbj4yyN5TS6HY0O+fbou8ASItMNQK3ttwz+yf89Kv7yKvJx+11G12C3eE9quvslZz/YDNb\njeSis9Km4/a6iba3H2SYTWbOHH1K0D6ryYLX68HpcbG3cj9DIlMZFRecIDDCGsHZWcuNYG5IZKox\nYD0rLtNoeXtx52vGNQ5P8/oM5J+SHhtpo7peT7vwxhd6192cCWkkBsx8GpHasfelED0hzG7hpxdO\n5+rffQ5gDGpvjd1m4aITxpBfWieLWYeQZCwXbfrL6nf45YYHeejL53v9ufeW6pmfo60d/7KK1IJz\nsKyr+YTvDh/oyWIBegATKN6Xp2lzybaj9usDOYdFp1PlrKbaWUONs7bN1qOrJl4MQHF9qbFcyUML\nfsGS4fODzjt3zJkdKmu4NYzjhy+kwd3AvqoDHbpmb+V+vivZ3urxlta9C8zO/sy2FwGMRZE7y2Ky\n4NY87K7Yi8vrYnLyBNIiU5mVNsM45+EF9zJ/6Gzmp8/iB2PP5t45P8XsS6a5LGNR0P2ibVEsHDqH\ncQktz5rTNI3fvrKRDTnFWC1mbjlnCslx4VgC1keTVifRn3Ski+6kWXr3oggdCaJEq/YWF7LDuQaA\nKnPvLxvy7iG9S2xY9JAOX3Pnwqub7Xtu+z96qkiGo9ebSonUm+0D8x2dm32G0bKUETMMgLtXP0CD\nu5GYNsYK+cf+rClYz5bSHYDeLXjB2LONc2xmK6MClnlpT0bscABeU9+mylFjtIq15o+b/sqz215q\nNovQb3cH17w7JXNZh8sYyN+dd6Ba715TErIxmUxcNv584xybxYbZZOaS8eezePj8oFa8iUnjuHri\nJcb2vPRZXDTu3FYH1jc6Pew9rNeJ2+Mle3gcv79xPvdc1tQVPKGTSRKFCAV/F+Go9J5dB1J0jbTx\niVb9eeNL4OtKN1k8bDyUy8yMrJA/b4PTyTvb1oJN73o5e/KCDl+bEh2L2Rkd1KWnmVoe/N0d/vE6\nfv714Op8LUeXjDuf+UNnGcf9QYxfW0FUelQaYRY7BXVNySr9LSy3TruW7aU5LBg2h0hb28352jjf\nvwAAIABJREFUgTJ9AVdRfQn3rHkAaH0ZmMAWpdKGcoZEpTY7p6ShlAhrBDdMuZKVeasobSjncG0B\naZEpnDTyeF7J+Q9njj4Vu8Xe7NqOsJgseLxePj6od12kROrjOyxmC1dMuDBowH1rZqZNJTt+NFtL\ndzB3SNvj4lb51rsDWDilaRzXqPRYHrhmDhU1jcYSGkL0pctOUThzQWbQwHHRdySIEi0qqKrA7G+o\ndNvA6mLNgS29EkT9ZuXfqLbpg69PTTmX2IjOzSy5Y9aNHK4s5dWDemJGi9bzgyq9Ry2S6/K62Fd1\nkI8OrACaghY//xInfm0FURazxQiaAK6bfLnxeFziGMYldj6RY2pkCiOih3K4thANvexVjmriwpoH\nBsX1JcbjSkdVsyCq1llHSUMZ4xPHkh0/iuz4URTWFfHSzte4auIlpEYmkxU30kis2RUWk5l6d4Mx\n9ioxPME4NnvIjNYuayYuLIZFw+a2e95nvsSFp88byfcXBc+mGpYcJV15ot9IiAkjIUYGivcX0p0n\nmvF6vTy08WEcYfqX6fKh+pKJde6eSxfgdLt4acNnlNVW8/72DXyco69D9l3ePiOASnKPYfnE4zp9\n75FJKUwY0jQI2WOvxuttvgJ6d/i/3C9SziEhTJ96/E7uB4De1Rb4pQ8QZrFz+/TrjO04e9utGuMT\nxxqPA2fvdUdG7HAjgAI9TUNLCttZcsa/VM2o2KY6To9K4+ezbifV162ZGpkSFAh2ltViMwbvLx42\nr1v3ak9hWR2lVY1kDYvl3CVZmM2SokAI0TESRIlm9pY0dSNpHiujk/TBwYfZxsrd2/j9yn/xzYGu\n5xxqdDn58Ve/YH3tJzy59j98WPwG7xa+htfr5dk9TwMwO/okfnPytV1eMDYmIri7JzfgNfUEr+Yl\nOTyRhcPmGikH9lbuB+D3i35tZOgOlB0/mumpU4i0RjA1ZWKz44EuG38BANNTem5tq+z44BaWvJqC\nFs/7/NAq4/HKvFXNju8o29Xi/XpScnhA7qWo0C7JuWWvnrR02fTh7ZwphBDBpDtPBHlh3UdsqloL\nvpUJTF4riQGL/L5x+GUA/rFvM7MyWx5T055/b/7SeFxqaUpsuDo3x3iclTSsS/f2s5otaB4rJos+\nvmdn0SHGpHVtplhLPJoHu0WvpMAusez4Ucb+o5lNZq6ZdCmaprWbkNFusfPk0od7NHHjtJRJvBiw\n7c+/FEjTNA7WNOVKyqstCCqvx+vhu5LtRNkiyY4f1WNlO9qU5AlsL8thdFwmU9oJOLvD4fKwPkdv\nectMHxjLTAgh+g9piRJBNtZ/jmZrMLbNmo3EqJbH73Q1G3hxwHIlgf6d1/QVP3eU0qV7B3ryhAc4\nNeVcANYXbur2/QJpmmZkvw5MVzA3fVZrlxg6GhgdPTaqu+wWO1dPvITTR50EgNPranbO0QPmARrc\njUZm9rdz/0e1s4aZqdNCuoTMgmFzeGTR/fx05k1Gmoie8s2uYv79+R40TePd1fs5eKSGscPjGNJO\n3h0hhDiaBFHCcLi8ecvEhJhp2K0tt6xszT/Ypecpcei//E1O/UvrtNTzMbmaBo8PZ0qXu/ECWc0W\nlk84DpsjkSrbAe786Ilu39PPo3kxowdDqZEpxv7oTsyY6wsz06aybMRiAJweZ7PjroDAKs33ut7Z\n9yG3f3EPXxd8w8q81SSExXNW1vKQlzXa1rODub2axt7DVfz1v9v5eEMeuQXVfLj+EBFhVn58wTRZ\nrkUI0WkSRAnDK981LWw5nMlclXUt1887Xd/hbh5I7SnNa7avPW6vhzpTKbjC+eX8H3N62vmcPmkW\ncTTlgopvZ9B1Z1gtFq6cpI8vqrM3H0itFuXz/vb11Ds7tyioV/Ng8bUSjYgZaizX0tasu/7C393Y\nUhDl9OjdnzNSpzDP16q2On8dGhr/3PU6ABOTx7U45qu/+3ZXMb99ZaOx/duX9ccj06IJs/fewsxC\niMFDxkQJQJ8Vl8cWAM5Ov5CTxgdPIzd7w/ES3P2zsX4Fl7iWEWZruaXKr6qhjge/fJbM6EyykzLA\n5iDRnUVqbBynTdS/qK3mpnsszZ7eEy/JMG3EaMw79NxR+0uLGJWsD1T2er08uUNvnfqw+E1umXAr\n44e0ncDyw/2fkRKZjDegOw/ggfn3kFO+m5ExHU+A2VfMJjM2sxWnp+nvWVRXTIWjyphVaDPbSAhv\nvuAp9GyQ25t2+Va0P1pSbO8uZySEGDwkiBIAlNQ2fcEcl9F8PJJdi6SRmmb7X/r2U66dd1rQvkaX\nE6fbQ2VDHQfLi9lXnk+9vYCdzgL2HtgNYXDiqOAlTKymprdie4FMV1i1cJzU8n/fPcYflzxImM3G\n4cryoHPe3vEF44dc1uo9vJqX9/d/AujJIAPHK8XYozuVv6iv2c12nF69JWptwTe84mtlSvLNirNZ\nbCS2EETFh8Uxf+js3itoD6qq1ZO3PnjNHF75RGXXoUrOmJ/JqbMz2rlSCCFaJkGUAKDOpX/BDPFO\nICGq+ViUsXEKWxuLmu0vb2j+6/7eFX+mwVyG2Ru8GDCAM0wfdzUnMzhQc3odYCZobFRP8j+vyaxR\nUFXOqOQ0thbsCzqnxt08J1KgwMWAvZq32dIvA0mELcJYoua9fR8Z+8sa9cDSZrYauZ4yYoYTbgkj\nI3Z4r4yFCpUj5fVEhllJT4rklnOm4HR7ZHV7IUS3yJgoAUCNQ1+uZHhMy2kArp17GrGukcZ2mkdf\n1LLSVcEaX2qCemcjq/bupMF+BKyuZgFUoHBb8HIgUb5FhuPpuTQEgcbZ5hmPaxr12Ye55fqYrmWJ\nZ6Fp4PDWt3mPBnfTrEUNLaQJIEMtxhZFjbOWKkc1mbHNW2LCzHaibVE8MP9ufjLjRm6dfm2PBVBe\nTaO4sqH9E3uQx+uluKKBIUmRmEwmIsOtEkAJIbpt4H4LiB5V79K/1GLsLbcEmc1mzh9/qrHt0vQB\nyNW2g7x68O9sztvHE6tf57VD/2jx+rHWOcS4Wu82ufq4M5gctpgbZp3bxVfQtlsXfZ+hmp75u8bR\nQHVDA3vrtwMwbVgWaGa8tLzYrl+DO3jw+UAOoiJs+t/5njUPGoscKwFL00T7BsjHh8V1O5XBU29v\n4/4XNrA1V09tsWFnEXc9vZZ1O3s2AWpbDhfX4fFqsnyLEKJHDdxvAdGj/EFUdFjrU/RnZGQZs/S0\no9aO+3jPWg6zrdk1ie5sfph9Pbcu/D4/mnsJsa6RzI4+qdl5qbFx3LDgDIYnJnfnZbTJv2htrbOB\nR776B1673p01KikVk9eCt52FissbK4K21Yq9oSloL7hw7DlB23H2WG6e+kNj20TPdFUeLqllo1pC\nXnEtj7++hT2HK8nN17tNX1+Zy978qh55nvYUVeitjBlpklBTCNFzJIgSADR69FaWmDaCKIAor74Y\nbaw9hsXxp3Pe8EvBbSPPndPi+adkLWRGRhZms5khcQk8fMrNXDG7eRDVG8ItevdNnbORSpu+RIvF\nGYvZbAbNjEZwEFVcX8pdq39DTrmeVT1wTbmBLikigUlJ4wG4ZNx53D37R1jMFm6e+kOSwhOYnDy+\nR55n54HgwPPhVzbxzS69HitqHPz25Y1842uR2rK3lN15lZRUNlDX2DwRaHe43PpahzarfOQJIXqO\nDCwXADS6G8EK8RFtd3fcvegaXtn0CT+cs5xIu96y8+XBDZQELN/ym9n3smL3d5ykzCChlWznfSHc\nGg5OqHc2EOZIwRFWwp1zbwLApFnQTMGLFP96nb6szbPbXmLR2BlsKdG7va6dfDnPbnupdwsfAtdN\nvpz91YfIiss0Ek1OSFL4zfy7e+T+JZUNvLZCX2MxIsxKg8PXBVzvIjrCRm2DHiit3lLAyBOyeeKN\nrca16UmRPHjNnB5LgOn2+IIoiwRRQoieI58oAq/XS6WnBICU6LaX2EiIiuLWRd83AiiAjJimhVtj\nnBkkRcdywYzF/SqAAoi06WXOqynEZWoEt43h8fqUfs3kDVru5o097xqPze5Inv7qXWNNuclJ41ky\nfAHXT76iF0vf8yxmC9nxo0KWqVsNyMt01fJxnH98lrEdH23nohPGAFBS0UBdY/B4tMKyet78Mnj2\npMvtMVqUOsvt0bufrdISJYToQfKJcgzbU1TAbR89yB0fP4o7rJIYVwapsZ1fp2xsStOA8eFR3Vs4\nOJSifIHfYbbitddg9gYkWbTp3Zkvf7OC4voSVuatNg7VOR2sPNKUBsBitnDB2LNCujDuYLC/UB/7\ndPz0YUwbk8zyOSOZmpUEgN1m4aRZI7CYTWzLLeX+FzY0u37tDr2bT9M0/v5BDtf/4UseevnbVp9v\n54Fy7ntuPfsKqtlxIDgHmL8lymoZuGkphBD9j3TnHcPe3vkFHnu1MRLotNHHd+k+I+JTwLeMXlJk\nQs8ULgQCM3QD2LTmMxHX1XzMzvX6F/WJGUvYemQPxRQYx88fc1ZoCzmIlFXrgel5S7Ow+rrRzlua\nRVm1gyuX6ykywu0W6hrdVNQ4ml3vn0lXXe9i1dZCAA4V1dLgcBMRpn90uT1enC4PkeE2/vTWNhxO\nDw++pP/9fnHZTLKGxRnnAUY5hBCiJ8gnyjGs3Bn8a33q8Mwu3ScpqmnG05CYxO4UKaRGxKUGbYeZ\nW07nUK3pU/EnJimEeZuWOLlxylUsHbEgdAUcYFxurzHOqSWVNQ7C7BYj4AEYlhLNb344m+Epelev\nP5jyM5tMPH7rQqAp8FmzrTDonCPl9WiaRmFZHX/973Z+8tQa9hdW43AGTwzYdahpUHuj75gEUUKI\nniSfKMewBm9whu64dgaVtyY6vKlbbFhc6FIUdNfsUWO5YtQ14NYTfZoD3v4/yGg+vslVFwWOptmK\nGZGZIS/jQPL461u4+Y9f8Z+Ve/F49YCnosbBgSP6+6qy1kF8lL2tWzBTSeUvdy7DhD5z7g83zyc2\nyo7FbDLGMRWW6akoJmbqrZzrdxbxn5V7+cWz69m8pxSny8sDL+qtT1OykpgxNgWAN7/cx3tr9lNV\n5+R/a/WmUhlYLoToSdKdd4wqrq7CZa3B7IzCrkWRaEvp1v0S3KOp99SQmdS9+4Ta7FFjeXVXDC5r\nWVCyzIWjx/P1oanGIswAVZUajrpw8DVG/ejJtTxx20JiItsODI4VOQf1lp6P1h/io/WHWDJtKDsP\nlFNS2cjvb5hHdb2L9KT2A/MRaTHcf9UsEmPDiY7Q85BZLCZcHi+aprE7rxK7zczyuSPZcaCCT77J\na/VePzx9PNERNn7+9FpKqxp5e9V+9hxuykXV4Gw7oaoQQnSG/Cw7Rj2x9lVMFg+ZYeN4bPkd3Hti\n92aaPXjyDTy2/GfYrbYeKmHonDryROyOZK6ecbaxz2w2c9eyS7A59IHPmtvKc+/v4lBe8Gyw259c\njdBbg4725XcFlFTq46DufHotAKkJHVsLMSMtxgigQG8x8ni85OZXU1LZyMyxKcb4Jr9bz5nMUz9e\nTHy0neEpUfzqqlnERNoxmUwsnd40wWH7/qZu65GSbFMI0YOkJeoYVFBZTqVtP5rXzI+WndfXxel1\np06YyakTZrZ4zN/Fp3n0/xpao96SYnMkEbja276CahJjw47Z9ddaCqJactbCUV26v8VixuXR2JKr\nLxw9a1waYTYLz9yxhOv/8CUA033ddo/evKBZmoaTZ42gsKyONdv0GX6nzB7BBcdnhyydgxDi2CRB\n1DHm05xNfHhgBYSBxR2FtZvrog02jjA9X1acNpRiAI8N7/YTePTHJ3Htli8AOFRUw4MvfUtMpI0n\nblvUZ2XtCV6vhtncucBC0zT2H6kmIszKT34wlRUbD1Pf6GZrbhnDkqM4c0EmT7+zgyuXjyMxNrz9\nG7bAZjHh8XiNsUwZafpAdJvVwnVnTiA8YLB6S4GR1WLmh6dP4Ix5mWzbV8aiKUMlgBJC9LgOBVGK\noswBHlFVdelR+38MXAOU+HZdr6qq2qMlFD1mZ2Ee/y18DXyNJ9dPvrxvC9QPpXsnUmjewbkTTiA/\nxsK7aw5w4tRshiTGccb8kbz/9UF+9fdvAKip79mlSXrbys35vLZiD7+84jiG+WbL5ZfW8b+1B7j0\nJIXI8JY/HvJL66iqdTJ3QhpZQ+PIGhpHTb2T974+wNkLRxEZbmNqVjJ2W9dHC1gsZoor9LY/q8UU\nFIzNnTikw/dJS4wkLbHtpYyEEKKr2g2iFEW5E7gMqGvh8EzgclVVN/Z0wUTPyyk6ZDxO9Yxj0rCR\nfVia/umniy+iuKaKkUkpzMqEORPSjHE9I1IHz3ia6jonL3+s/9657/kNZA+L4+eXTOe+59YDoIyI\nZ8m0lhOnbt6jd7FNyGxKZxETaefiE8ca22H27rVwxkbZjSDqzPmZ3bqXEEKESkd+KuYC57RybCZw\nt6IoqxVF6ZkFt0TIfFe83Xh8+tiB3Q0VKhF2OyMDZhimJ0VhMev/TdKOGiSdPbzz2d37i398uCto\ne29+FX9+c5ux7WxleRWX28uqLQXYbWYjlUAojM/Q0xmE2SxMyeq/aTOEEMe2dluiVFV9U1GUzFYO\nvwY8BVQDbyuKcoaqqu+3db+EhEisVhmHEwopKa23lGw6kEu5NReASZELWH7cjN4q1qCRMSw4G3uY\n3dpmnfdnDb7kk8/fexJP/nszW/aUsiW3zDju1vT305qtBYwZHo/VaibMZuHpt7ZSWtXI8vmZjBzR\nc9npj67Hq8+ezJzJQxk7MiEoWafovIH6Hh0IpG5DZ6DUbZc/nRRFMQGPq6pa5dv+HzAdaDOIqqio\n7+pTijakpMRQUlLT6vGv1RxA78a7ce5ZbZ4rmktJicFR37Q0icVsotHhGrD1WFJZT1JsGCa3h9o6\nZ7Pj5ZUN7NhTzO9e/KbZsWEpUZw1b2SPvfbW3rtDE8KprW6gtkee5djU3ueC6Dqp29Dpb3XbVkDX\nnTxRscB2RVGifQHVMkDGRvVTNU49eB2b0LUp5wJjoHREmAWL2YTXqxnHNE1rcf23/qq+0U1UuJ6X\n6dKTFQCiwq2cMHM4AE6Xh8LSloZBwuRRSdht0poshBCdbolSFOViIFpV1b8pinIPsBJwACtUVf2g\npwsoekadL4iKDY/u45IMXCaTicduWYDdauaOv3yNx9MURP35rW1s3lPK766fS2pC/54NpmkaDqeH\ncN/g75FDYnjhrmWAvmzLio2Hcbg8FJW33Go8NTup18oqhBD9WYeCKFVVDwBzfY9fDdj/MvBySEom\nelSNqxZMkBg5MPqZ+yt/ck2L2YRH04OoQ0U1xoy1grL6fh9EOVweNAjKteQX5mth2pBTzEZVz1wy\nIjWavOJafn7xdCLCrGRI1m8hhAAk2eYxo8pVAXbITh3a10UZFCxmk9ESdbikadRObn4V07L772yy\n59/fyf4j+liD8BbSEITZm3r4Pb7uyrsvnUGDw0NCzLGZnV0IIVoja+cdA+qdjdSbS8EVTkp0bF8X\nZ1CwWMx4vHoagFLfenEAn2/Kx6tprV3Gio2HeebdHdQ1tp2o06tpPP3OdtZsK+yZAgO5BVWs2X6E\nAt9Yp5iI5gsp+9M5BAq3WyWAEkKIFkgQNci5vR7uW/EUWJ2kW7P6ujiDhtlkoqSykXdW7+fTb/MA\nSE+KpMHh5vYnVuHwpRAItDuvkn9+upv1O4v4evuRNu//2oo9bMgp5vn/5fRYmY9+zrEZ8S2ed+Xy\nccbji04c02PPL4QQg40EUYPcC+s+ojFMXyz2J4t+0MelGTwsFn0dtndW76eu0Q00zXKra3Rz5KhB\n2aVVDfzun5uM7dYGbfsFtkD9/YOmQKrB4aa63onWRmtXS7xejZWb8oP2jWsliBoTkER0eIpMRBBC\niNZIEDWIFVVXsaX2awCyLbOItHdtMVjRnOWoRXuHJEYyfmQC5y4ZDcCv//ENG9Vi47h/4LlfaVUj\nrSmvbqTB0dSStWproRE0Pf3ODn705Gp++cIGXO7mrV2t2bpPT6QZG2nj5FkjWDx1KDGRzbvz/K/F\nb1hKVIefQwghjjUSRA1iv/n2IbC6GMFUfrzk/L4uzqDiOmpZFH9AE7hQ7lNvbzfGR23fVw7A1aeN\nJyLMQll160HUV1sKADh/aRbDkvUgZuXmfH71wga2+YKh/JI6tu8v73B5v/MFcReeMIYLTxgT1GV3\nNJPJxIXLsjlx5nBiWwm0hBBCSBB1TLj6uDP6ugiDjr8lyT/g2t/tNWtcKqnxTWvsHTxSQ1lVI9v2\nlZGWEMHCKemkxEVQUtHQakvSu2sOADBmeDyZ6Xo6gVc+2c2hYn0WYFS4Pqn2T29uI7+VhJjB99vP\nV1sKSIgJY/b4tA69vpNnZ3DxSWPbP1EIIY5hEkQNYprHgtURT2rswF0ot7+66rRxpCdFcv+Vs7jx\n7Elcddp4AKwWM7+7YR6zx6cCeg6pn/1V71JNjtNbqSaOSsTp9rI1t4yVm/N5/PUtNDr1cVWBgVVG\nWnSzLreTZ43g9vOmGtv3PbeewrLWAylN03j/6wMAnDZ3JOajuiGFEEJ0nQRRg9Dh8lJe/uYzTBYP\nZkkFFhKLpgzloWvnEhtlZ9a4VGKjgoMdf4vPix+pxj5/QHTcOD3Aeurt7bz8scrW3DIjsWWVbx27\n2eNTsdssVNU2LSXz7J1LufCEMWQPj+Ph6+Ya+3/x7HrW7QyeeefVNHYeKOeWx1fh9uWzOn7GsB55\n7UIIIXQSRPUxr9fb/kkd5HS7yDmSxzPfvsW6mk/0fWGl7VwlQiE9qXnW8sx0PUdX5pDmGb+f/18O\n+wqqyS/RW5X8Wc+VjARA7yYMzOGUlhjJzd+fZGznHKgIut8/PtjFH177jgaH29hnNkkrlBBC9CRp\npugjn+76jv8W6Cvo3D7xR4xN614m8be+XctruS/pG/JX7XPpSU2z2qLCrVx4whijdcpkMvF/N843\nuvn8/vrf7cxUUgAY70s/sGhKOsOSoxg9tHmS1JlKKs/csZQbHv3CSJmweU8Jq7YU8t1eCZ6FECLU\npCWqF5TV1jZrcdpetMd4vOnwnqMv6bQvcje0uH84k7t9b9E1p87OAOC+K45jweR0bNam/25JceHc\ndckM7rxoOmNH6AHTkMQIcg5WYLOayfblajKZTGQNi8PUSiuSzWomOS6cwvJ6NE3jT29uMwIoq8XM\n3362NISvUAghjm3SZhFiGw/l8vzuZ0n2ZvGbk6819te66owQVtO616VXUVfHEdd+MFt5eOF91Doa\nSIiMxmI2YbfaunVv0XXnH5/FafNGEh3R8t/AHzxdFmXnvufWkxQXgZpXyYjUaGzW5uvatWZUeiwb\ncorZX1gTtP+uS2ZgtZh58Jo5zfJaCSGE6D4JokJsRe56TGYvZeY9OFwuwmz6F2qDp94Ior4p+ZaK\n1dWkRSczJX0Ub+5Yye0LzyfC3naOHqfbxdNfv4fqXgc2yDRNJzYigtiIiDavE73DZDK1GkAFivAt\nBPzNriLcHo3kuM79/WaMTWFDTjEfrT8IwIJJQzhjfiZpvqSZQ5MlYaYQQoSCdOd1wovrP+Wmz+4i\nt6Ttdc8CFTTmGY9/tuIRHC4XXq+XGq3M2O8IK2GHcw2fl7/D4zseJ48tvLDhw3bv/fDKl/QACjC5\nwrllwbmdeDWivwj3BVH+LOX+FqqOmjw6CavFxLe+GX5jR8QbAZQQQojQkSCqg7xeLxvqPsVk9vLY\npqdYuXtbu9dUNdThtDVllfbYq/l6/y52FxfgtdegeVvvYnF4HK0eAzhSVUExuQCYnFH8ZO6N7bZc\nif4pPMwa1N3W2VQEEWFWRgbM+JuQmdhjZRNCCNE6CaI66L3tAQO3bQ7eOPwyTrcr6Byv18vGQ7k0\nuvRcP1/vy8Fk1hjBVJYlngXApoKd5FXqA3/TGW9ca3JGErimrNMTfO8jVRXc8dFj3Pz5nfz0o0f5\nx8YPwOIm1TOOP596P3OyJbv0QGU2mfB49T/+tOzkLqUiuOD4bONxUpyskSiEEL1BgqgOWlWwttm+\nDQeDZ9U9s/Z/vLD3GR5f9ToA24p3AzA5dSxLsyejaZDfkEdprZ7TJz0qlVGmmUQ7R/Dkyb/kgTn3\ncvvEHwGQxxZ+9tHjxqy+33/9HA12vRux0V5EHlsAOGH0XMTAlz1Mn423bGbXEmJmDY3jpONG8JML\nprZ/shBCiB4hA8s7wOv1Um8twgRcOfpa/rHvWQAanI08veY9cmtyuW/J9WyrX4vJAoc827n541+C\nrRFNMzF/1AQSoqIwucNwmmopqC0GYGhsCtfMO814nqToWKLCwtG8JkxmjXp7AbuK8kmLicMRVoLm\nNZHkHU25Nde4JjW6c+NnRP9023lT2JtfxaRRSV263mw2cdGJY3q4VEIIIdoiLVEdUFxThcnsJco5\njFmZY5gSvhgAtfQg2xyrqLcX8PBXz2Oy6NmhTRYP2PQFau3OBBKi9NlRYd5YNHs9+7wbAZiSPqrZ\nc4Xb7IyxHWdsv5vzFZ+omwAYaprAAydf33Syx8rwBBn/MhhER9iYlp3c18UQQgjRCRJEdcDmw3rL\nT7xND1iSI/XWnxxXUxdfte1Qi9eeknGi8XhmysygY0PjWw6Abpp/NiaXPs09jy2srvoAgGibHozN\niFxGlHMYt025mUi7jH8RQggh+oIEUR2w+vA3ACzMmAHAglETWz13avgSbI5ELh55FQ/OuZ/lE5ta\nlX4wfUnQuWZzy9UfZrPx+Im/bLZ/2Wj9Xj+ceyq/P/V2lDRZUFYIIYToK/0yiNp0KJcX13/a18UA\n9GzgFZaDmJ3RLMzSZ9MNiUsIOsc/q87ijOW6+afz+PK7WJA13ujG87NaLPxq9r3EukZyakrbOZ2s\nFgs/GHGFsZ3iUZgyPLP7L0gIIYQQPaJfDSxvcDp5cvUbHOI7AGbkj2X8kOHc8+mfsZps/ObE67Fa\nOr4cRnc9/tUb7HZsxGTxMtQ+qtWWI5PHDlYnFq39PE0p0bE8fMrNHXr+xWMmsr/iJNbAlEUmAAAN\nnElEQVTXfMbxmbM7VXYhhBBChFa/CqL+tOZNI4AC2FqYy7bCfdTZ8wG47fP7mBa1gCtnn4zZbMbt\n8RBuax64HC4vZf2hXZw1ZR5Wc9eCroq6Wva4N2DyXT4iZmjwCW4bWF2keBTKvPl4cWI39fz4pCtm\nn8QPXEtafJ1CCCGE6Dt9EkQVVFXw5d4tnD99kRHkNLqcHHLuAhvgCgdbI7vK91Ju3WtcZ7K42dL4\nJR/sSGBN4Qbq7QVYHfE8dPxPiA7XA5hvDuwxUhB8/sW7hDlSiLcmMTxmKFfPPdW4197iQryaxti0\no4Ijn0/UjUHbF85YGrQ9Jmw6ezwbUBKzsJnHsrlkB6dkL+pu1bRIAighhBCi/+n1IMrr9fK7tU/h\nsVdT+XU1x2fPYP3BHDbUfQo2SPUo3LTgfO5f91BQAGV2xuC166vUH6wqpN5eAIA7rJJXNn7KDQvO\nBOCL/d8GPZ8jrIQiSiiq38XY3AwWZk2g0eXksS1PYrJ4uLj2KhZkjQ+6pqi6iq9KPkOzmLh41BVM\nGTqqWTfibYvOYUv+DKYOy8RsNnMeoQmghBBCCNE/dSiIUhRlDvCIqqpLj9p/JvBLwA28oKrqs+3d\n649fvY7HXg3A9vr17PhuM5q9zjh+w5zzSImOJdo91OjGu2/m3bg9Hh5b/3ccYSXsdq8H9DXjNHsd\nWxvW8GnOME4aP4MSRzHYYWHcaXxdskpfo85jwWTx8Nref/P5/kxGx2XouZyA13e/y5xRY4O6/f6z\n5XOwOVCsc1iYNaHF12E2m5k+YnRHqk8IIYQQg1C7s/MURbkTeA4IP2q/DfgjcDKwBLhOUZS09u7n\nTzQZ58oEqysogJodfRJpsfryF3OG6DmV7I5khsQlMDwxmZtmXhp0r5kJ81gcfzoms5f/Fr7GrR89\noAderjAumrmUP516H08t+z2/mnMXAJqtgSJzDmtrPgbA5kjAFVbGhzuaWq8aXU52+fI/nTRGBnML\nIYQQomUdSXGQC5zTwv7xwF5VVStUVXUCq4HFHXnSyWGLuGjS6UH7JtkXcsXsk4ztc6ct5PtDL+bX\nS2819qXExBqPLY44Lpt1Aj+YsYRY10gAo7svQgtOQZAaG2ecY3DbOGmEngjzo5I3uWnFnXy66zt+\nuupe45TslCEdeTlCCCGEOAa1252nquqbiqJktnAoFqgK2K4B4tq73/L0c7l0wfEAPK3q+x5cfB9j\n05sP8L4oJXicUZK3Ke/STxdeQ3qanjn8Lz/4KTe//ihVloMAzEqfTkpKTNC1D3/vJl5Z9znpsYl8\nuX8DD37veuw2Kx+8+S5YHZhM8N+CV43zr5lwPcPSB9aSKke/ZtGzpH5DR+o2dKRuQ0fqNnQGSt12\nZ2B5NRD4KmOAyvYuOmP8HCrL6wEYwVRcXhcJ1hhKSmo69KQPzrkfm8VCdHh40DW/Pelm/r7+Eyob\nqzh/8pIW7mfi0uknAHBC1nS8jdDY6GZZ6il8Xv5u0JmJ7iymD8nqcJn6g5SUjteh6Dyp39CRug0d\nqdvQkboNnf5Wt20FdN0JonKAMYqiJAK16F15f+jMDe5adkmnn/ToLOCBrppzcqfvd+60hXzfO58f\nf/wI7rAKAO4/4ZpO30cIIYQQx5ZOL/uiKMrFiqJcp6qqC/gJ8DGwFn12Xn5PF7A3mM1mzhy1HNCX\nV+nNrOhCCCGEGJhMmn/ht15SUlLTu0/YCbuOHCY9LoG4iNZbu/qr/tb8OdhI/YaO1G3oSN2GjtRt\n6PS3uk1JiTG1dqxfLfvS18YNGd7XRRBCCCHEANHp7jwhhBBCCCFBlBBCCCFEl0gQJYQQQgjRBRJE\nCSGEEEJ0gQRRQgghhBBdIEGUEEIIIUQXSBAlhBBCCNEFEkQJIYQQQnSBBFFCCCGEEF0gQZQQQggh\nRBdIECWEEEII0QW9vgCxEEIIIcRgIC1RQgghhBBdIEGUEEIIIUQXSBAlhBBCCNEFEkQJIYQQQnSB\nBFFCCCGEEF0gQZQQQgghep2iKKa+LkN3SRAlhOgVg+EDs79RFCVKUZTovi7HYKQoilXes6GjKEoi\nkNbX5eguCaIGCEVRfqooyu8VRbmor8sy2CiKcquvfmf0dVkGG0VRzlAU5dm+LsdgpCjKLcBrwJS+\nLstgoyjKPcCfgNP7uiyDkaIoVwC7gRv6uizdJUFUP6coSrSiKG8BY4H3gF8oirK8j4s1KPh+xb8B\nTAMagZ8qijK+j4s12IwBLlcUZZKqqpqiKJa+LtBApyhKiqIoOUAqcLGqql8HHJOWk25QFCVMUZQn\ngETgMSAs4JjUbTcpijJPUZSPgLnAt8DHvv0Dtm4liOr/ooBy4B5VVVcB/wLsfVukQcMO1AO3Ak8D\nDqCqT0s0SCiKEvjZ8gbwewBVVT19U6LBQ1XVEmAHsBe4T1GUZxVFecR3TJag6B43euD0P+AmYKmi\nKHeB1G0PyQIeVlX1RvQAahIM7LqVIKofUhTlekVRrvdtpqC3QFX6tk8GSnznyd+vk46q2yTgBVVV\n64GfAxegfyn93Heu1G8n+Or2Ot+mSVGUSGCGqqqXAGmKonyiKMpZfVjEASuwbn2teR8Dt6MHUvcA\nsxVFudd3XN63nXDU+3aY7995wBbgQWC5oij3+c6Vuu0kX/3e6Nv8p6qqX/rewxOBXN85A7ZeB2zB\nB7nFwN2KokSqqrpdVdV3VFX1KIoyFbAGNN/L36/zAut2r6qqX/j2f4w+yPFPwA2KokSoqurtq0IO\nUIuBe3x16wEigL2KolwGmNC7TT/rywIOYEfX7XbgKeBFX8vUTcDZiqKEyfu20wLr9hBQA3wf2K6q\nahH6uJ2zFUUJl7rtksXAz331qymKYve9h3cD5wMM5HqVL+F+QFGUIQGPJwLVgAo85Nvn/ztlA88p\nijLF1698bm+XdaDpRN3uV1W1Dr116i30MVKiDW3U7W99uxOAW4BFwCnARvQWP9GONur2Yd/uTcCL\n6GN3ADKB91RVdfRiMQekNur2Ed/uZ4BCYIqvxWQUsEJVVflM6ID2PnMBf5f+50CFoijpvVvCnmXS\ntAHbFTngKYoyHPgV+gDR94BP0LvthgD5wFbgNFVVd/nOfxm9O28d8Iyqqh/0QbEHhM7UraIoC4Dv\nAZPRf1g8pqrqJ31R7oGgg3V7pqqqOxRFmaKq6lbfddnAKFVVP+2Tgg8AnXzfngBcht4F5QV+p6rq\nyr4o90DQwbo9Q1XVnYqinA2cgD6hJxJ4QD4T2taF77Pj0H9kPamq6qa+KHNPkJaovnUlUIA+tiEd\nuAPwqLpa4B80tZjYAQvwS1VVz5IAql1X0n7d+ltM1qHX81Oqqp4qH5btupL26/ZBgIAAyurrPpUA\nqm1X0n7d+lujvkTvavo/VVVPkQCqXVfSwc9b4B1VVW9F/7xdJJ8JHXIlHa9fVFX9Fn1M6oANoEBa\nonqdoihXAUvRB9SNQv+Fs8/3K/06IF9V1ScCzs8HblNV9U1fX7KzL8o9EHSxbm9WVfW/fVHegUTq\nNnSkbkNH6ja0pH6lJapXKYryO2A58AQwFbgC8M8UO4w+6Hakomdy9bscyAGQAKp13ahbtTfLORBJ\n3YaO1G3oSN2GltSvToKo3hUH/M3XfPln9Nk1FyuKMs03aLEYCAdq/cnHVFVdoarqzj4r8cDR1brN\n6bMSDxxSt6EjdRs6UrehJfULWPu6AMcK3yywt4D1vl0/AN4FtgFPKIpyLXAi+uwwi7Q6dZzUbehI\n3YaO1G3oSN2GltRvExkT1QcURYlFb+r8nqqqRxRF+QX6VOU04A5VVY/0aQEHMKnb0JG6DR2p29CR\nug2tY71+pSWqbwxDf9PFKYryJHrivLtUVXX1bbEGBanb0JG6DR2p29CRug2tY7p+JYjqG4uBu4AZ\nwMuqqv6zj8szmEjdho7UbehI3YaO1G1oHdP1K0FU33AC9wJ/GMx9xX1E6jZ0pG5DR+o2dKRuQ+uY\nrl8JovrGP9QBvGp1Pyd1GzpSt6EjdRs6UrehdUzXrwwsF0IIIYToAskTJYQQQgjRBRJECSGEEEJ0\ngQRRQgghhBBdIEGUEEIIIUQXyOw8IUS/pShKJrAb8K8fGQFsBW5RVbWojetWqqp6fOhLKIQ4lklL\nlBCivytQVXWaqqrTgHHAXuCNdq5ZGvJSCSGOedISJYQYMFRV1RRFuR8oUhRlCnArMAl9nS4VOAd4\nBEBRlPWqqs5RFOVU4DeADdgPXKuqalmfvAAhxKAiLVFCiAHFlxV5D3A24FRVdR6Qjd7Vd5qqqrf5\nzpujKEoK8DvgFFVVpwMf4wuyhBCiu6QlSggxEGnAZmCfoig3o3fzjQGijzpvDpABrFQUBcAClPdi\nOYUQg5gEUUKIAUVRFDugAKOBB4AngL8DyYDpqNMtwGpVVb/nuzYciOm90gohBjPpzhNCDBiKopiB\nXwPrgCzgP6qq/h04gr6avMV3qkdRFCuwHpinKMpY3/77gP/r3VILIQYraYkSQvR3QxVF+c732ILe\njXcxMAx4VVGU8wEHemA1ynfeO8AWYCZwNfAfRVEswGHg0l4suxBiEJMFiIUQQgghukC684QQQggh\nukCCKCGEEEKILpAgSgghhBCiCySIEkIIIYToAgmihBBCCCG6QIIoIYQQQogukCBKCCGEEKILJIgS\nQgghhOiC/wcuhdUL/dbDqgAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1162464d0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"data[['Returns', 'Strategy']].dropna().cumsum(\n",
" ).apply(np.exp).plot(figsize=(10, 6));"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Object Oriented Implementation"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Basic Considerations"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"l = ['MSFT', 'AAPL']"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"list"
]
},
"execution_count": 34,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"type(l)"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"l.append('YHOO')"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['MSFT', 'AAPL', 'YHOO']"
]
},
"execution_count": 36,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"l"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"s = 'Executive Program in Algorithmic Trading'"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"str"
]
},
"execution_count": 38,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"type(s)"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'EXECUTIVE PROGRAM IN ALGORITHMIC TRADING'"
]
},
"execution_count": 39,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"s.upper()"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"18"
]
},
"execution_count": 40,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"s.find('in')"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'in Algorithmic Trading'"
]
},
"execution_count": 41,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"s[18:]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Simple Financial Class"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"class FinancialData(object):\n",
" pass"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"fd = FinancialData()"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<__main__.FinancialData at 0x1161e1f90>"
]
},
"execution_count": 44,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"fd"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"__main__.FinancialData"
]
},
"execution_count": 45,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"type(fd)"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"class FinancialData(object):\n",
" def __init__(self, symbol):\n",
" self.symbol = symbol"
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"fd = FinancialData('AAPL')"
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'AAPL'"
]
},
"execution_count": 48,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"fd.symbol"
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"def f(x):\n",
" local_variable = 10\n",
" return x ** 2"
]
},
{
"cell_type": "code",
"execution_count": 50,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"25"
]
},
"execution_count": 50,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"f(5)"
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"class FinancialData(object):\n",
" def __init__(self, symbol):\n",
" self.symbol = symbol\n",
" \n",
" def get_data(self):\n",
" self.data = web.DataReader(self.symbol, data_source='google')"
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"fd = FinancialData('AAPL')"
]
},
{
"cell_type": "code",
"execution_count": 53,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'AAPL'"
]
},
"execution_count": 53,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"fd.symbol"
]
},
{
"cell_type": "code",
"execution_count": 54,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# fd.data"
]
},
{
"cell_type": "code",
"execution_count": 55,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"fd.get_data()"
]
},
{
"cell_type": "code",
"execution_count": 56,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Open</th>\n",
" <th>High</th>\n",
" <th>Low</th>\n",
" <th>Close</th>\n",
" <th>Volume</th>\n",
" </tr>\n",
" <tr>\n",
" <th>Date</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2010-01-04</th>\n",
" <td>30.49</td>\n",
" <td>30.64</td>\n",
" <td>30.34</td>\n",
" <td>30.57</td>\n",
" <td>123432050</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2010-01-05</th>\n",
" <td>30.66</td>\n",
" <td>30.80</td>\n",
" <td>30.46</td>\n",
" <td>30.63</td>\n",
" <td>150476004</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2010-01-06</th>\n",
" <td>30.63</td>\n",
" <td>30.75</td>\n",
" <td>30.11</td>\n",
" <td>30.14</td>\n",
" <td>138039594</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2010-01-07</th>\n",
" <td>30.25</td>\n",
" <td>30.29</td>\n",
" <td>29.86</td>\n",
" <td>30.08</td>\n",
" <td>119282324</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2010-01-08</th>\n",
" <td>30.04</td>\n",
" <td>30.29</td>\n",
" <td>29.87</td>\n",
" <td>30.28</td>\n",
" <td>111969081</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Open High Low Close Volume\n",
"Date \n",
"2010-01-04 30.49 30.64 30.34 30.57 123432050\n",
"2010-01-05 30.66 30.80 30.46 30.63 150476004\n",
"2010-01-06 30.63 30.75 30.11 30.14 138039594\n",
"2010-01-07 30.25 30.29 29.86 30.08 119282324\n",
"2010-01-08 30.04 30.29 29.87 30.28 111969081"
]
},
"execution_count": 56,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"fd.data.head()"
]
},
{
"cell_type": "code",
"execution_count": 57,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"class FinancialData(object):\n",
" def __init__(self, symbol):\n",
" self.symbol = symbol\n",
" self.get_data()\n",
" \n",
" def get_data(self):\n",
" self.data = web.DataReader(self.symbol, data_source='google')\n",
" \n",
" def plot_data(self, cols=['Close']):\n",
" self.data[cols].plot(figsize=(10, 6))"
]
},
{
"cell_type": "code",
"execution_count": 58,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"fd = FinancialData('MSFT')"
]
},
{
"cell_type": "code",
"execution_count": 59,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# fd.get_data()"
]
},
{
"cell_type": "code",
"execution_count": 60,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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IiIiQdrLHnmX7MH1RABxnaGbJZ3nPV7cmLZ/AqQpYCrwWWA78DDBDodDAK+kBRp3RVV5e\ngG1bk+nnvFJdXTzTXZgz9K7GR+8rf3pX+dO7Gp/58r4cTzRzPBA0ARiGQ621glu3XM+Xd34LgAKf\nb9j3MhvfVT6BUxtwMBQKxYFQMBiM4g7XDSgGOkd7QEdHeLTLMkh1dfGsLDE/G+ldjY/eV/70rvKn\ndzU+8+l9taVOjXjNdCwS0exQntfwDXkvM/muRgvY8llV9zjwqmAwaASDwXqgEPht/9wngFcDj022\nkyIiInLhCJstI14r9gfw2Z7M56vqLzsfXZoSYwZOoVDoF8BuYAfwc+B24EPAncFg8CnclXb3TGcn\nRUREZG5JGQkArlt4zZBrxf5ATvmBmoLq89avycqrHEEoFPrrYU5fO8V9ERERkQuE47hToTdVbuDh\n07kDU0U+f07gVDuHAicVwBQREZEp5+DOYaouqBxyrTQQwGdmV9IVeQrPW78mS4GTiIiIjCkcTfDX\nX32SH/z6UCabNBoHt41lDld+wEd1QRUAi4vq50zxS9BedSIiIjKCh549xfd+dYiAz+aPXxmktSvK\nb545xVWbFrC0bviVZ+3dUQzDyGScbHNoOSKv5cE0TD57zSex5shWKwOUcRIREZEh4okU3/vVIQAi\nsSS/2XUyc61h0D50A5KpNI7j8OGvPMmH/+OJQRkni/dc9I6ctt7+gpcFnoI5VfwSFDiJiIjIMB7e\nfRrMpLtFipHiyJlujIIuPMv28p0HD9AbcVfNpdJpdh9q4c8++zDf+Pl+wN3I1nHcjJNpmGyqWs+1\ni67MPHuuBUuDza38mIiIiJwXp1v7CGz7jfthJcQOXIpv3U4AUp013PvYUd72iiD3PXaM+586DsD2\n/U0YhZ2AQTiewAq4gRPAkc6GzLO9pgInERERuYCcO197IGgCMMwUDz17motWVHL/Uw1gJTGLOkl3\nV+Lf8DQAqa4KAEzcB53qzW7u61XGSURERC4knYkO8A1/zfLFSQFfvOd5PEsPYNeeACDVNaj0gOHO\ncRrIOC0tWczxbnee1FweqtMcJxEREcmIJVKcaOqhzWkYsY21+AC+DU8C6UzQBGCVtmWPSzoAMqUG\nBk8Qn8sZJwVOIiIikvG1+/byyW/vpKm3C4BbVr8uc63YW5Q5Ngu7MQJ9eT+3xJstX6CMk4iIiFwQ\nnjviZo0MMwlAsHwVlX53vtJb174pp63hjWKmAnk/+1Mv+Rh/fvG7cwKwuUZznERERKZBPJHi/7af\n4IZti7j3sWP0hON84t1XTPn3nGzupbsvzoblFZN+1s+fbMh+sFIA+C0/n7ryo5nTV9Rt45nmPSTS\nScySNtJWJO/nVwbKqQyUT7qfM0mBk4iIyDS455Ej/GbXKU409/LsoRbArao91e74rx0AfP3D1+Gx\nJzeQdO+jRzPHhuVmnHx27rDa29bfyorSpfwg9BM8Cxpyrv3Zprfz8MnHOdR5ZFL9mM00VCciIjIN\nmjvcTExrVzYj0xtOTOl3pNLpzPHg75kMe8FRApf9H2ZJG37LR4E9dCjOY3lyPr/nondwzcKXsLFy\nbWYVHcD1i66ekj7NJso4iYiITKGn9zdSXRYglR7YcsTEqjyDVXGW7vBLKCjJf07QWJras8FSc0eE\nBZWFk36mZ7G7zYphpVhWsiInEBoweFXcwqIFbKpaz6aq9QCU+8sA2FpzMW9a8/pJ92e2UeAkIiIy\nReKJFN/42f6cc2nHwbvyeQBOdjRTV7J0yr7vVEtv5rijNzZlzx2wrGTxsOcDlj9zHEvmfu8tq1+L\nz/LmbLFyIVHgJCIiMkUee/7skHPHG3sILHGPO3qnZjhtwMnmbODk9Ge4JqOiMs3gHl5Zf9mw7RYU\n1WaOu+M9OdcCdoA3r7lp0n2ZrRQ4iYiITJGcVWnDaOvpHfV6Ps629bH3WDurFpbS0hnBLOoAT4y0\ns2bSz06WnMr5XBkYfqXe4JpMb15z86S/dy5R4CQiIjJFrtxQx//t6K+k7YniWXKQVMuizPWpCJw+\n+8PddPbGqSzxUVbsw7d+OwCx9OWTfnYq4NZwKvWWcPOqG/O6Z13F6kl/71yiwElERGSKJJJpMNKU\n1LcR8Z3BrmzErmzMXN9zpJGGTd0sqyuZ8Hd09sYBaOuO0dYdI7DQPd+cOAGsnEz3cawopC0+c/Un\nxmz7/y7/MCd6TmUmg88XKkcgIiIyRcLxBJ4Vz5NY+Ax21dD5ToaV4MEdJzOfY4kUOw40cbolv0xU\n+px5TIYvu+VJND35+VOO4YCTX2hQV1jDZXVbJv2dc40yTiIiIhNw32NH6e6L84c3rMZjWwA0pHbn\nZJiGsBPYppH5+PjzZ/nvXx/C6zH52oeuG/G23Yda+OX247z9VWsxfGHsRYdw4n7Moq5MG4fJTw6H\nNAbG2M3mMQVOIiIi49TYHuZnTzQAUF7s43VXLQegy3d41PsMO0Eskcp8DkfdgpjxRHqkWwD4xVPH\nOXa2m5890YBv3XYMr1sCwElng5y0M/oz8uOAo8BpNBqqExERGafGtnDm+FRLH+//4mP85JEjpEkN\n2/6SmosAsCrPUFuRLYCZSjtgpMBIk3ZGzhidbXOH5Lr74pmgCcAws/eMdn++HMPBUGgwKr0dERGR\ncTje2ENDY3fm87Gz3fRGEtz/1HEYYbiswudOoDb9EU46L2TOpx3wX/IQ/osfIZ4YPugC8HncocBD\nJztHbONMQcbJIQ0aqhuVhupERETy1BdNcOddO3POtXYN2rjXGD5wWli0IHPcnsrOgYqnoxh2EkgS\ni6fwe4f/tez32XT1uavpnLSRk2ka4Ewy47TvWDuG4ZBMTsVcqQuXMk4iIiJ5+u2u/gKRRgrPyj2Y\nJa051w3P8Jv4Li9dkjlu7ujju/93EIDOdFPmfDQ+csYpSQSztAVwhg2aYPKTw3/66JH+BynjNBoF\nTiIiInk60b/FiVHQg13ZiG/tLjDS4ImybePwtZkuqtpATUF19oTh8PCeM6TTDj1OW+b0aIFTZNHj\n+ILPYBa3AxAsX8Urll6f02Yyc5y6++IcO9vj/ix5liOYr/R2RERE8uQ47mRuw85mlsyyZgKXPMy+\ngrsz596y9pbM8Z9t+uPch/QndCLxJGknGyzFRpnj5Pjd/eB869xhQtu0WVBYm9tmEhmnky29YKbA\nTFNW5Jvwc+YDzXESERHJk+OAf8vvMKxskONbvSenzRev+wymYfKbE4+wpmwlhnHO0Jfp3huJJkmT\nndAdjsWH/c6m9vCQc6ZhsLXmYloibUTDJr9renByGadwlMC2X7vH6bYxWs9vCpxERETylHacnKDp\nXO+96J3Ypvur9e8u/8jQoAkYWHkXjiVzai+F48MHTgdPdAw51x7txDItXrP85Tx8eE//Uye+qq4t\n3DV2IwE0VCciIpK3sZI6G6vWZY7PDZrevv4P3GdEiwBIppycLFEkNvzE8iNnunMKXQK8afXrMsem\n4f4qn0w1gs5I99iNBFDGSUREJG/nLvk3DTOTNbp+0dWj3ru8ZKl7YLjtk6l0TpYokkjQHY7zoX9/\nglTa4S03rGZXqIXjjT0YG3zgdcse/PM1d1DkKRzUBzeoGinjFI0n+eS3d3Lp2hpuuXb4TYA7Yl1K\npeRJr0lERCRP525rsrhoYeZ4VfmKUe+1TbeI5UCtp0QqTSo9OHCKc9cvD7rVxIEf/OZFDp3sJJZI\nYXnc4UG/5afADuQ81zTdX+XpESaHHzndTXNHhPufOs72/U3DtulOZDNOK0qXjfpzzHfKOImIiOTp\n3MCpxFcM7oI3NlWuG+aOLKs/cPL7IAEcPN5BY3sfdp17PRpP0Nw5dJ6T4e8lbSRYXxHkvRe/MzM0\nNyAzVDfCOOKOA9lg6es/28fyBcXUlBfktGkNd4AP3r/5NlaXLx/155jvlHESERHJU8LsyxxfXLWB\nS2svAeCGJddmAqOR2IZ7varcXe5//1PHcyqNxxIJPJaJO3k8e96uPQHAlfWXDQmaAKz+obpTLT3E\nzqkFteNAE489fxbPiufwLN0PQE84dy5VV2+McNqN/uoKq4f9DslSxklERCRPPQG3uvYfr/t9Ll+w\nFcdxqCmoZtGgLVVGYvWvtutMNQNB9+SgwCmaSODgwa4/imfRi8T2Xw5GGrOoAwubi6rWD/vc0kI3\nEEulHe5+6DBve2Uwc21XyK02bledBSBxfC2dvblZrZMtvZi+CAYmxd6ivN7DfKbASUREJE9J283M\nbKhcC7gr5xYX1+d170DGKer0YdcdJdm4gsGZpWgyQXFtHx7/iwD41m8HwEmbeM3AiBktn6f/V7nh\ncLrFrWyeSqc5fKqLaCwJnlimbeCyX/G/TwVYUFnAN3++n3e9Zh2RWArDG6XAKFK2KQ8KnERERPI0\nMI9oIgHG4MDHs+QQycYVlBZ5GBj8iycT9PgPDbnPMNNE0n1Dzmeuky1VsLze3fbl8z/aw8ETnYCD\nb+OunPZnehv5/q9CHG/q4b9/FeKKjdUY3hiFVjUyNoWWIiIi4zR8YcuxvWbN72U/mEn6Co5lPsZS\nyQntEzfQF7v2OJF4khNNPf1BE9h1DZgFvTntKyodEil3kvuhU11876HnASj2DL/XnuRS4CQiIpKn\ngf3gBmd5xqM8UJo59izbl3MtlkzkbMGSr4G+GKZDU+oo7T3ZoTmjcGhF8Gg6TG8kmW3TXx+qwl82\n7u+ejxQ4iYiI5GkgcDInmHG6YvGWzPHAhO0B4aLDeBLjz/oMzn5FUzEi0WxQNDiDdfPKGwGIE87d\n/852J4svqqgY93fPRwqcRERE8ja5jFNNYeWI11LeTlKMvA/eSAb3JZFIEY4lMfy9bv2nPjcQe2nd\nS7m4eiMAjh3DCPTg2/QYVsUZ7OrTABR5C4Y+XIZQ4CQiIpKngTVwE53jBPC6Fa8a9nyqo47eaHTY\na2vLV4/4vMF9iaVjtEXa8V/0OP6LHsew3ZpNy0qXUNJfasDwxPGu2oMZ6MO76nmsshaAIRXJZXgK\nnERERPI2uYwTgMfMLmg3MHhL8Jb+J6eJp4bf6Peyui3DngeIJLPBVle0l50NRzKfrcozAAQ8HnyW\nDzDASmDYQyuUF3iUccqHAicREZE8ZSaHTyLjNDhwCpavYmVZ/xYnRhrM4YfqkunksOcBlhYvoiZQ\n5T7CTtDRmw2kTH8EAL/txTAMbLwYVjKn8OYAZZzyk1cdp2Aw+CwwsAPgMeDTwF24ofde4PZQKDT+\npQAiIiJzyuQzTrbpyRx7LDtn81/jnMDpppWvZm/rQdZXBhmJZVp8YMtt/O0TnwY7iWENDb48lvvr\n3mt6iVsJMIf+yvZZ3on8OPPOmIFTMBj0A0YoFLpu0LmfAZ8IhUIPB4PBrwE3AfdOWy9FRERmkclk\nnEoGbWviMT1YxkDglIZzgp5XLL2eVyy9fsxnevuDMcNIgTk0O+W3/e7/W376rIj7XYNsqFxLucoR\n5CWfjNPFQEEwGPxVf/uPA1uBR/qvPwC8AgVOIiIXhBNNPfzX/Qf4s9dvoL6qcKa7M6s4OIN3SZmQ\ndRVr8JgeEukEvYkwpjEo4+SLYGCwtGTxqPOazuUZyBZZKQxfZMj1Em8xAAHbj2HnBlYlTh1/fvG7\nJvbDzEP5BE5h4HPAfwKrcQMlIxQKDfyj0wOUjnAvAOXlBdj26LtGS1Z1dfFMd2HO0LsaH72v/M3n\nd/W9Xx/iRHMvX/rpC3zrb18+Zvv59K7cRJMxqZ+5rraMLfUb2X5qN5FUH3XV7q9Qq6QNw5PgyiXb\n+MBL3j2uZzqOg2EYWKVt7v8Mk5STzSotXVCDYRjUlpVyOnIy516f7Zu1f4azsV/5BE6HgMP9gdKh\nYDDYhptxGlAMdI72gI6O8GiXZZDq6mJaWnpmuhtzgt7V+Oh95W++vyu/x1031NweHvM9TPe7CkeT\n2JaB1zM7/uPbcdLgGBP+mQfeVzzmZn0SyRQd/cUoDY+7om5LxSUTev7APnoARZ4iXrH0eu47cj+f\nfMnf0Nrav+1KauiaMNOxZ+U/7zP57+FoAVs+q+reBXweIBgM1gMlwK+CweB1/ddfDTw2uS6KiMhs\nEY7HMUtbAIdofOTVXNPNcRze94VH+fvv7hq78XkyyVG6rP45Ug5gm7k5jAp/+aQff8OSl3Ld4qv4\nwnWfocwWa75UAAAgAElEQVSXHRRqjbQPaWs6syMonSvyyTh9C7grGAw+jvtn/C6gFfhmMBj0AgeA\ne6aviyIicj6dTOzHF3yGZNMS2ruvoL4qrwXYU661y11Wf7qlb0a+f3gOTGJF3YDsExxs08Y0TNL9\nQ2sec3Lvu8hTyEsXXTnsteHKGliGZ5iWMpIx/3RCoVAceMswl66d+u6IiMhMOt7Yw4nOFjwBsGtP\n8EyomWSqiv+6/wB/eevFlBX5zltfDp0cdRbIjHAMB5ypCJwGMk5uDstreomm3EDRY04skPmbbe/n\nTF8jVyzYNmKbgXlPm6rW80LrfgCKvP4Jfd98pQKYIiKS8a37D+QEBvc+foRPfnsnJ5p7+dg3ns6c\n740MX+F6KkXj2aX5Z1r7+M2ukzy0+/S0f+/5cOPyG6j0V/DWtW8GwGtlg6Vzh+7ytaRk0ahBE8DL\nl7g5j2sHZaSW1aoMwXjMTP5VRERmnUgsyamWXrzBruxJOw4JNyMR6w9knj/Sxhf+5zne+eq1vPGG\nkQszTlY8mWJgVtF9jx1lV8jdU+26zfWTqqM0Ge4E7Ml/d11hLZ+68qOZz97BRTEnOVQ3misWbGNL\n7cU5xS799vnLIl4IlHESERGgP8PjiWKVtmXOnbunWSKZ5plQMwDf//Whae1PIpHGd/EjeIO7ONOW\nXZ3d0ROb1u8djYMzBWHTUIOzTKYxfb+aDcMYUiFcFcPHR4GTiIgAbobHrsmt8WNYKTDSeFc/g1V1\nijOtfVSXuXuaJZJpUukpW2c2RCQRx/S5gVxrV2/m/OnWiU8W/9B/PMGX7nl+Qvc6juPWS5qO0GlQ\nBu18Z9MsU6vqxkOBk4iIABBPpLEqGjEdm1ct+z33pJXEs3wvVnkL3hV7aeoI88zhs1i1DWDFOdva\nO+ozJyqddnjw2SOZz6nyk7jDds6EV9ml0w4dPTH2HG6d0P3JlONujjsNgc3A8Nxoe9JNl7SjrWbH\nQ4GTiIgAEEukMDxx/EYxxQP7qZkp7KozmTb7G9o5lTiEd+lBvGue5cgpdz7U2bY+usPx4R47ISeb\ne3OGCc2iDnybHse7didP7D3L339nF7tfbBnXMydbkyqWcOd4TUfG6R3r/4AVpUv5gzVvnPJnj2Rg\n9Z7X1FDdeGhyuIiIABCOxsFK4DP8FHvcwMlbnFu5+dHnzmDXu3OMrOJODp/qZNf+Rh7efZqigIcv\nfeCaKelLMpXGsLMr90x/H2agDwJ9nD7SDgkfX/7JC9zxjktZWpffthyDV+lNxE8eOeJmnKagHMG5\n6gpr+dDW26f8uaP5m0vfz5NndrCtdvN5/d65ThknEZF5YF9DO8fOdo/a5kRrB4YBxd5CVpevAKB8\n6TnDWnYCw5PNBO1pOMHD/SUCprJEgeOQ8z1mUbbvVkl28vqdd+3M+5mRWBLD3wueaM72JGPpiyY4\n3tjD0/uaAPB5L4w5QQsKa7ll9es0x2mclHESEZkHPv+jPQB84f1XU1Iw/NDMyfZ28EFFQTHFniK8\nlpfOmDsUF7ADRJIRDG8UszBbruBE90mgLvP5+SNtFBd4WL6gZFL9TTsO2MMHYkagB6v6JOmuKpx4\nYMxnhaNJPLbBvY8dw3/R4wD8xReKWFJbxDtevZaa8oJR7//SPc/zYv+QZLHHxGfrV+d8poyTiMgF\nLpXOTv7ddbB5xHYN3ScAqCwqwTAMXr/iVZlrr1hyHQCGL4xRkB2+GxxEVZf5+cL/PMfff2cXydTk\nJhw7jjOkFMIAT/0xvMv34V27Y8znRGJJ3veFR/no15/m2UPZnz0cS3LwRCe/3nVq1PuTqXQmaAKw\nzPO/6k1mFwVOIiIXsOONPfzv48cAN1Pz/V+Fhh2mCkcTdMY7ACjzuXOGrl98NdtqN3Pzyhup8LvV\npa2SdgwzzRL/SgBMf7a+UndfNkP03OHscNpEpB1y5jgNx/RHAEYddjve6AZ5HT0xMIfOcYqNMe/p\n7KD6UYavj5jRS29iNu2dJ+eb8o0iIheoZCqdmQNk1RzHu+wA8WPr6Y0k+N/Hj7F8QQlXbVrAo8+d\n4RdPNkCZG6isKV+VecY7N7hblR7uzAZfAGXeSk5Gj4Injr3wRTDSxE4FMbxhnLQ96RV2juO4VcvH\nYPj6+PBXnuTma5ZTWuhl04rKnIxQTukBK7uqzijsxOkro2eMfnb2xjDLG/EsPIzhdSfF1xVUj/On\nkQuJAicRkQtUS2cEcDC8UTwLDwNglbbR1B7hd8+eBk5z1aYF3PXAQQA8VW4QUegZOuen3DeQcXKz\nUj7LS5G3kC5vFM9Ct95S8vQq/JsfBcBxNk6q7+dODh9QaBfQl8xmgfwXP0bHjlfx7V+6P8Obr1/J\nqy9fCrh1m3aFssNzxqCMk3/D0yRbF9CVGn1FWVdvHO+q5zAMN6u1pmwlf3HJn078B5M5T0N1IiIX\nqKaOCPaCo/g3P4LhcbNJTtzPZ77/zNDGVgKrrAW/UUipb+jE7jJfCbWDMi1e00NPvBfTF8mcM4s6\nM8fJ1ORqJrlznBJY5/z3/bLSJaPeN3iIsLM3Rnt3FKv6JEZBN/aiF3Pa2lVnaSse5l0M0tUXw4ll\nJ6CvKV81rVuiyOynP30RkQtUY1sPnsW5wYIxaE4SuNumAHiWHsCwUiw01w0bGFimxV9ve3/ms8fy\nsLpsRU4bc9Aed12p9kn1Pe0Adhyv4c85f3HVhlHvO3SyMzP8FkuksGpOuBPJVz6HXdk4pL0TH734\nY1dfHFLZ5fprK1bn+RPIhUqBk4jIBepk59AJ2gVluYFTJOZmhgaqgy+pGbmMgN/2ZY59lod3b/yj\nnOuDV9h1psZX1ftcAxknr5HN9lxaewlXLNiW+Ryw3aDKs3Q/nhXPE7js/7CqTvPp77lZpGg8haf+\nKDD8sB9AitEzY63hdsxCd17Xl6//J5aPkfGSC58CJxGRC1RjT27gtLionhh9+Dc/hF13DEgTjiXx\n2tlfBUUBT17PTqcMir1FLCtblDnnK8muNks5k6vSnUgnMaxUTsbpNctfgWVafOCS27h64RWsq1gD\ngF17IhP4eZa/QHOHO3z44snO7ATz/mrfa4rW53yPY46+cq810ZQ51hCdgAInEZE558DxjryqdHfG\n3QzQTStfzT9d/XcsKl4IgOGN4VkSwrNiL32RBEUF2WApleeGr9Wl7pYstpmdg5Q0opljZ5Ibx0ZT\nbmbMZwR43+Y/4Q2rXkN1QSUAa8pX8ofBN1LsHbrVihMrYM1idyL7Y/uPY5jupO6BjFOprzS3vZkY\ntZxBODK5AFAuPAqcRETmkFPNvXz2h7szw1HDGSh4GacXgPrCOoq9RawsXZbTzq46Q28kQcLszZy7\nvG5LXv0oCbiZoJG260gzucAp3B84eQ0/6yrWcMOSa4e0uaR605Bzpp2kO+yWDSgvH/pcn+FnecnS\n7AkrmZnnNZxI0s1evXXtm8bTfbmAqRyBiMgc0t7jBgVN7WH++9eHeOvL12SuJZIpbvvcI5nPnqV9\n2EB5f/HKl9RfyqqyFXzy6X/OtOmLJkj63CG9W1a/jqpAZV798JhulmpJaT2h1iNDrqfHsRfccFJp\nN9NjGSP/mhrYTy+HHafLcPfOO9PZDuckpRZWlPGGundzpKuBbz57NzEjSTyZxusZGgAmU2niTgwv\nUGCPvbWLzA/KOImIzCGWlS3u+NtncrcL2XEgdzsVw+cOnQ3UYAKoLqjkUy/5aOZzd1+CpM9dAbes\nJP+JzwOB09s238IbV72WFaVLc66PZxPd4QzMkRprXtF7LnrHkHNxo5f/eegw3QydoF7oKcBv+9lQ\nuRbTMDEMh2h8+Ani4VgyU728wKPASVwKnERE5hDbzN0nLZ3OBijHznZj1Tbg2/AEZkkrhjcCKTuz\n+mxAZaAC23ADn1MtvRgF7lDd4qL6vPvhsdxMkN/28XtLXspl/UN8iwL9xScnOcdpIGM1VuC0qWp9\npk1dYS0AhifBA9tPYPjCQ9oPDoBMwwTDIRrLncf0xAtnOdvWRySWxLDcwClgj74RsMwfCpxEROaw\nnv5J4j3hOI/uPY536UHMwh58a3dhFvRS5PMPuyntwgJ3ovhzR1oxrCQWHjxWfivqIDuUNuCq+sv5\n6KUf4JKyywBwmJqMUz4b6t665mYAXrX0Ze49XndektFfnPO9F70z09Yc9GsvEzgN2q/ubFsf37r/\nAH/7ze1uQGW72SgN1ckABU4iInNIMtWfiSluwyjsonNgzlNHBKf0zJD2vcneIecgmzHqi8bASuAz\nfcO2O9dfXnIbV9dfztKSxTnnTcNkcfFCLNP9tTLZOU4DQ30Ww08+H+zq+sv50nX/yOaaTeAYGIFe\nMJOYxe0sLFzAxqp11BfWAVDmz66qswwTjDSRQUN1PeHsasU779qZyTgVeHKzdjJ/aXK4iMgckkyl\nwY7hW7eTdMzPA9tX856bNtIbTmBXu5OiV5Utz2zK67OGr4zts/v/+jccDCuJ18xvKGp1+UpWl68c\n8frAsJkzyVV1A2UR8sk4GYaBZbghVnWgiuZUB1Z5M4bpsLFqHQAf3PIeWiPtOdvGmP1B3kDGKRJL\n0t4TzX24nQAMfFZ+gaVc+BQ4iYjMIcmUg73ADYpMX5T9R9wJ4ae7mzCLuqj3LucvNv8pL3Yc5amz\nO3n50uuHfY7dn3HCSmJ4EhTZRVPSP7M/0Dk34dTRE+PrP9vH669axrql5WMGRANzpMxxDowsKq6j\nJdqCt9J9LwOBU4GngCXnbF5sGRYYaaL91dM/9o2n6e7LrTBuWEm8hk/FLyVDgZOIyBzSFe/Es6Ah\n8zkSOEksnuJ0l1tSYFFRPbZps65yDesq14zwFLANdwjMKnFX1JX5hil6NAEDAcbgyeFpx+FL9zzP\n8aYePvejPdx09XJuunr5qM/JBE7jDFgyQ3Fl7r50pcMUyRxgm+4cp28/cJCigCcTNJnljTjhYpxY\nIYadwGdqfpNkKYQWEZlDIqncoSSrvJl9De10Rd25TJUFI+81N5jZHzgNrDxbWb5otOZ5yw7VuSmn\ntq4o/+8/t3O8tS2z2u94Y8+Yz0lnyhGMPVQ3WGskd3PhwCiTum3Twn28w5d/+gIARqAH3+o9+DY+\n2d8ogd/S/CbJUuAkIjKHJFJuQLE2sIUisxSzsJPucDxTabs8MHKGZbBSn9vOCLgBV0VBfveNxcoM\n1bmB08+fbOBsWxjPwiOZ1X4d/RPaR5NvOYJz3bj8hpzPgzcmHtJXc+DZ2XFFw+/ut2dYKbxrt2OY\naYo8U/Nu5MKgwElEZA5JptxVXrZpUeGrxPAkCJ1qIZJyf+GX55lxWl3mVt22Kxv7nzc1MzcGJlwP\nZJwyc4as7Mq1buPsmM+Z6FDdkuJF/Ms1n8z2Z5T77YHtYoxBgZOZHWK0SjoAWOjPXUEo85sCJxGR\nOWQg42SZNlWBCgB2HGmgI+IOf5V485vkvbJsWc7nKQuczpnjFI0nMUvaMiv+AKLFx8Z8Tjzp/pxe\ne+xyBOfy57kCzmO5z/au2oNZ0gpGGsyhVcTX1y0dck7mLwVOIiJzSNJxf7HbpkltYRUAhj8MtpvZ\nKfIW5vWcc+f+TFXgZPVXNh/IOPWlu/Ct3en2zeP2LWVG2XfMnYt0qrmXB3ecGLJFy94Gd7J7wJt/\nUc5sH/ILtuz+wMkqb8G3dheBS39F+fKmIe1K/Pm9U5kfFDiJiMwhiZSbyfGYNotKawAwA72ZIbeB\n4CQfgURt5niqAidvf5mDVH8/u4r3Za6tKluOkbYx7Dif//EemjrC/N1/7eDHvzvMyeZsoc5oPEk4\n1h8IBiZWP+mOKz7CP1z58VHbDGScBuvDDdgG773nmaJ3IxcG/dMgIjKHJNMDGSeLMr87n8mz6DDg\nbuY7ngBocXUJhzrdDMtUBQdFBW6GKJpIsuNAE9FUBAt3A+E3rX49rZF2TtIIZpI7/msHRqAHw07Q\n2B5mSa07Cbs7nGBgwnZxYPgCnmOpGVTociSjvau3r/9DzvY1sqtpDwsKa0dsJ/OPAicRkTkk2b9H\nnG3ZQ7JLH730A+N6Vnssu3S/1JffpPKxePsrknf1xfja/+7Duy6B4xh8eOvtGIbBqrLlnOo9g1nY\nRbynHP+mHRh2gs7oxYAboPSGExj9e8R5x7F/3niNFDgV2AEq/GVUBSrYVLV+2r5f5iYFTiIic0hn\nXwQKwGNalJxT3DHf+U0Dokm3JtTm6o2U+UrHaJ0fA3eO00A5AcNK4jG8mUrh5f4yt6GVxCxtw7Dd\nVYJ9SXdVoOM4fO/BEFalmwmrLaiZkn4Nx2sODcq21FzEuza8Na+tXmR+0hwnEZFZrCcc54v/8xxP\n728k7Tg0dnYDUFFYiNfy8uGtt0/42fGUO4+o0l8xJX2FwXvLOWAlMAt6c4pyBmy3mKQZ6MUs6sz2\nJekGUF19cY439YCdwMSirnD6AifPMIHT61a8UkGTjEoZJxGRWez+p47z3JE2njvSxjd+th/PilZs\noLrIzdwsKl444WfH026wMhDMTAWzP+OEmcpU364bNEdoYDWfZ/GLpNqzQVE85Q7NHTvrBoaGmaTY\nnprhw5F4hhkGnMogUi5MCpxERGah3kiCz/1wNycGrTYDsErcVV8VAXdvOY9p89FLP0BxnvWbBvvj\ndb/Pg8cf4uqFV0y+wwP96y8FYPjDmL4IAG9Y+ZrM9XUV2f3zzNK2zHE8leCZUDP/ce9esBIY3jhe\na2r2zxvJcBPi8y1lIPOXAicRkWlyoqmH4gIv5cX5L6nvjbgrzHYdbOZEcw9W5RkAzMJuSgo9hL0x\nDAxqB60aWzzBrNPlC7Zy+YKtE7p3JB7TXQVn+t0tYF628DqqCyoz1wO2n1tX/AF3H/0RhpXKnE+k\nk27QBAS2/hYArzmxFXX59zU341QTqJrW75MLgwInEZFp0NoV4ZPf3smi6iI+9e7L8r7vnoeP8Ohz\nbrBkFHbhXflC5lq4//+vWfiSqezqlPL1D38Znv75U4VlQ9qUB4Zmx3YdagTqwMwGU+UF48+ijce5\ngdO2ukum9fvkwqDJ4SIi0+DZUAsAp1p6iSWywUBvJEFDY/eI9x053QW4xSML6s8M22ZR8YKp6+gU\nOzcYKfMO3SC3xB8Ycs4w0xiBHgLbfp05t7i4fuo7OMjgOU5vXnMTNy67YZTWIi4FTiIi06CpM4xd\nfwSzrJmTTdl5Sl+59wU+ddcuTrX0Drkn7Th0FRzEv+03GIFunPJTALxq6cv4/Es/lWl37nYps4ll\nWthGdp7QcPWhfPYwQ3BWAv+mJ3JOTXfhycFznNZXBLWaTvKiwElEZAqFo0m++2CIh/cfwrPoRXxr\nnqWrL565fvCEuwT/TGvfkHv/7cd7SFa+iGGm8W96Eoc0F1Vt4HUrX4V/0Mq3fDexnSmD+5qp2zTI\ncPWTrNLWIeeCFauntmPnGJwdswxNCpf8aI6TiMgUuufhwzy85wxmSTRzrqPHPY7Fs0N20UHHAOFo\ngn0NHXg9pVjlLdl7ox2Z47+59P3sbn6BtdMcUExWibeY3oQbGA63d57Xymac/mjdrXz/wN05P/Pn\nX/r3eC0PpjG9/20/OIAbNgsmMgxlnEREptCplv5MkpXMnPvBb14kdKKDU62DNrKNudfTabfCdl80\niVnWnBNAwMCOba4lxYu4aeWrpz2gmKzBFc2H29akYNBQ49aaiyn2ZCeBB2w/ftt3Xn7GwX0LWFNX\ny0oubHllnILBYA3wDPByIAnchfvv817g9lAolJ6uDoqIzCUBn/vXqjEocAL45x/s5uZrloOZwipv\noqtvCY/sOc3dDx3hna9eS1t3FN+aZ4c8L+3Mvb9ei4eZED6YZVqsKF1GMp3Ea3n48Lb3ccdT/wQM\nX817ugzeB0/1myRfYwZOwWDQA3wdiPSf+lfgE6FQ6OFgMPg14Cbg3unroojI3JFIukNwhh0fdNYB\nDO577Bie5fuxq0/zVFOaylPricSSfOW+vYBDYJiqBdO55ch0Kctjw+APbf3zzHG5rxTTMEk76fMa\nOJ3P75ILRz650M8BXwMG1sVuBR7pP34A0PpNEZF+sVQMs6wZo7Ane3JQbSKzpB2APquVSCKGvfBF\n8ESxKhpznrOydDnXLrqS3w++4bz0eypds/AleEybteX5zcWyTItKv1slfCq3fxmLAieZiFEzTsFg\n8B1ASygUejAYDH6s/7QRCoUGht17gKnZUltEZI5LOw4nU/vwrTmUc96zfC84Jk6kKLMNiWE4tBTu\nwlN9Gs/CI0Oe9Vdb33te+jwdKgPl/Ms1d2KOY3n/61a8kn1tIa5ddOU09iyXx9L6KBm/sf6peRfg\nBIPBG4DNwHeBwXnjYqBzuBsHKy8vwLY1fpyv6urR5wdIlt7V+Oh95W8i7+pkUw9GYGiZAbuyccg5\nwxfBsBLDPmdd9ao59Wc1FX19VfU1vIprpqA3+fNEs1Pvz+f7nkt/tjNtNr6rUQOnUCj00oHjYDD4\nMPAe4LPBYPC6UCj0MPBq4KGxvqSjIzxWE+lXXV1MS0vP2A1F72qc9L7yN9F31dWZ/991RqAHw8z+\n4i7yFPKHwTeyvnItlmHOmT+rufzPVdpxWFO2kg1Va8/bzzCX39f5NpPvarSAbSJ5yg8B3wwGg17g\nAHDPBPslInJBSabSQ1bTjWRw0ASwqWo9m2s2TUe3ZASmYfKBLbfNdDdkjsk7cAqFQtcN+njt1HdF\nRGRuS6YcsN3ht3JfGb8fvJmvPX9X5rpt2iTTSW5eeSP3Hfllzr03Ltc6G5G5QDPjRGReOnSyk1/v\nPMll62vZvKoSzxTMwxzIOFl4+IerPg7A5uqN7GnZC8DNK29kS83FgJMJnP4g+EbWVayhon9VmYjM\nbrO7/KyIyDT5p/9+lmcOtfDV+/byxAtDJ29PRDKVBjuBTXYvubetuxVf/xYjS4oXUeorztmGZE35\nSqoCFVPy/SIy/ZRxEpF5pzeSu5qtpSsyQsvxSaYcDCuBx8huKeK3/fzDlR/nWPdJVpQuBXKrVA/e\nbkREZj8FTiIy7xw+3eUeWHGsshYSyUUTes7+hnaeCbXw0O7T/Wcc/Jcm8Rq+nHYFngI2VAaHfcb5\nLPgoIpOnwElELmixeIp7HzvKljXVlBR6qaso4MjpLsAhsOlp8IZpjNUCa8b13P0N7XzuR3tyT1pJ\nDMMNlMby0Uv/kkgyjDGOIpEiMvMUOInIBe3BHSf41c6T/GrnSQC+8P6r2dfQjnfNM+B16y6Fk/nV\nXzre2EOh36aqLEB7dyxz3rN0H+loIelOtz7wgtKxN1RYXFw/3h9FRGYBBU4ickGzrNyMzud/tIfT\nkeP4FrdmzkVSYwdOuw4285X79rJ2SRlbgzX88LcH8SzbT7q3DLvWDcoS/aUIyvxjb3IrInOTAicR\nuaAVF7gr2qzaBuy6Bk4dvAzP4hM5beJpN3vU2B6moydGcWlgyHNeONoGwMETnRw80YlV2Yhdcwpq\nTmXaDOw5V+KbfdtEiMjUUOAkIhe0VNrBLOrAu/QgAN7Vz2IW9Oa0iaaiAPzdt7aTTDmU/WI//3r7\nVYC7Lccd39rB6dbcPegM78gr8S6qWj+VP4KIzCIKnETkgtYb78G3fnvm87lBE0DciXLkTFd/5e8Y\nnX1Jzrb1saCykFg8dU7Q5OBZvhe7+nTOM9654S0837KPQk8hVYHK6fpxRGSGKXASkQtad6pz2PNV\n/gpao+0AmIE+Pv3dXXjXbccq7sRJWRw4vo4FlYVuUctBDF9kSNDks7xsq93MttrN0/NDiMisocBJ\nRC5okWTfkHNvXnMTl1RfxH1H7mdn424MTww8MaxiN8gyrBRPHjlETzjJz544lnuzHQdggXcp1y7f\nytm+Ri6v2zrtP4eIzA4KnETkghZPJ4acK/YUUuor5u3r/4DGvmaOd53B9OcGWMdbWzl6ZGiNJaN/\n5dzSwmVcs/CK6em0iMxa2qtORC5oiXQSgGurb8A03L/yagpqMtcLPQUYZhqryh1+y2yBYmcDLrOk\nFaviLPaiQ5lJ4fXl2pRXZD5SxklEZtwje07zu2dP81e3XkxpkW/sG/KQTKVJptLEU0mwoNxfyh1X\n/DWnes/kFJ+8om4rB9oPYVefAeDG5S/nx4fuxQj0gJnE8Ebxrd015PmVharVJDIfKeMkIjPuu/8X\n4mRzL88daZuyZ376u8/w5//6KPGkOycp4PVSFahgc/XGnHbb6i7Ba7m1nhYV1XNp3SUAeOqP4Vu7\nE/9Fjw/7/CJP4ZT1VUTmDmWcRGRGJVNpHDuO4QsTjaem7LnHm3oA6OiNgg8KvN4R28ZTbnB1Sc2m\nnE13zaKuYdtbhsWS4oltDCwic5syTiIy7U409bC/oX3YawdPdOBbtx3/hqdpCrdM+Xd3R905SQXe\nsYcAV5QuBWBjxaZR260uW4HX8ky+cyIy5yhwEpFptefFVj757Z187kd7eHj36SHX7330GGbAXdHW\nlxo+wzMpppvF8tkjZ5wGDAzZvWT56IFTqU/zm0TmKwVOIjKtfvzQ4czxU/sah1xPprPDcwN7xk2F\n0oUteFc9i2dBAwA1BVVj3uM13cDJbw+fnfrw1ttZV7GGVy572ZT1U0TmFs1xEpEpl3YcfvnUcTYs\nr6CpPZw5/+KpLhLJFB7bypyzijsyxzHCDCccTZJIpSktHDtrBJBIpogvfIaBb7mkehOFnoIR239w\ny3s51HGYBYW1ACwpy666K/IUsqlqPdcvvpqFRQt43+Y/yasPInJhUsZJRKbcroPN/PTRo/z9d9xl\n/Ia/F9/6J7HrjnHb5x5h79E20o5DMpUmbDVn7ouPEDjdedcOPvjlx0mnnTG/O+04/Nvdz+Wce8va\nN416z6qy5dy4/OUYhlvwcmnZIpaVLAEgnIzwR+vezMKiBWN+t4hc+JRxEpEp9/S+puwHO4531XOY\nBT2YRd1gJdhxqJoHd5zgbHuY9IJopmnaSQ/zNGjpdNucaetjUXXRqN/9J//8EEZhJ/46cNIGX3zZ\np8UEr8kAACAASURBVPGY4/+rblvtZhq6T4zYJxGZnxQ4iciUSjsOLzQ0Yy86jBMtwLtib851z8Kj\nbG9Kkji+HgB/TYSBjU0cZ/SM0tEz3WMGTgD+DU8DYJjOhIIm0ARwERmeAicRmVKxeAqj5hie+qMj\ntjEKujHLmkl31pA2Y5m5SA6jZ3dONvWOej2ddjDLmkZtk6+awNiTyUVk/lHgJCJTKhJLutuVjMIq\n7sQqfpZkWx2GHc+cT4+QcfJ7LaLxFD2R+LDXB7R0RfCt2T3+Tg9jUXE9b1l7S2auk4gIKHASkSkW\niacw/dlJ3iV2OVcv2kp3opfHTz+d09aubMRJZVfYOQwfOAV8NtF4ir5octTv3n2odRI9H+qq+sun\n9HkiMvcpcBKRKdPcEaa7N5aTcdpSt57XrHgFqXSKaDLKrqY9OfcYVor6gnrOhM+MOMcpXXYC35LD\ntIU3AZuHXN93rJ37HjvKmbYwziYTw9SEbhGZHgqcRGRKHDzewb/8cDdlpSZGMBsAra8MAmCZFm9a\n/fohgRPAqtKVbuA0QsYpXrMX00rQlxhaeTwcTfKj377I6dY+MFIEFDSJyDRS4CQiU+KJF84C0BXp\nxQ+U2uVcu+Ry1lWsybQZaYXb6rKVPHr2sZFX1TnuurtoKu5OADcNuvri/OP3n6G5IwI42AsPYxZ1\nArCgsJazfVMzSVxEZDAVwBSRKXGs0R2eM7xuzaU1pUFeuexlmEb2rxmPOXRj3NqCGqoClcDQVXXx\nRIqWzkgmcDLMFM8fbQPgg19+vD9oArOoE8/CI1il7rU/2fi2zLNFRKaSMk4iMmmO49Dc3Y1nSQg8\n7sq3FWWLh7QzDRPTMEk7aWoLqnn3xj+i0FNAXzSeec5g//Tfz9LQ2IPvYsP9rzwzxemWXtYsKsPw\nRvBvfoT40Y1YlWezN6Vs6gpr+MTlH6LADkzXjywi85QCJxGZtF2hFoxF+7CrzmTOVRUOLSBpGAal\n3hI6Yp34LX9mG5No3M0U/f/27jswiutc/P53Zna2qXcJgYQQcJApBoMB28FxiZ3YyU2xHSf2L3ac\nHie2k/fGSZzi1Jtip9q56b03p7jcuMQtLoAB00wbEAiEUO91tfX9Y1YrLSqsQGhVns8/aGdnZ88e\nVtpnz3nOc8JDcpw2763naH18WQMjo4X6rmas4ykY2Xaw5Fywh3B3xpCT7JV3A/vOCSHERJKpOjHr\nnGjq5v/73gv85ZnKEe9/aV8DT2+vmeRWTV/dfQH+/PQhjPSWuONe58ijPVnuaJCjDR4zdPvG0OTw\nnzy8L/azpg0ePxB5ju/97RX0zKbYMT2147TbL4QQ4yGBk5h1Nu6tp6PHz2MvVbN5Xz1/ePIgofBg\nbs2PH9rL7544SI8vkMRWTh/3P7Cb1s5+cMQXp/SMMk02MBJUPyR5eyAParRVdWiD/z/+iA+IYKS3\njXjq4szyRJsuhBDjJlN1YtZo7+7HYegca6vDveppAtVL+MlD9n35mR5esyY+J+evzxzmlquWJKGl\n00vliQ60lHY0PT7oyXZljnj+vLS5wBZC4VDsmGnYRTDDQwJYh9tHJLWZUEcuDBlxCvek41z88rDr\nrsxbxsLMBawvWn0mL0cIIcYkgZOYFfr6g9z1o03MyU2hN+swmunHWb6bYForureLPzwJqiSLefmD\nG8g+t6sWl2lw/WXlGLoMzo7FkRc/tamhYRrDV9ABrC9cTVXHMdYXrYkdGxhx6vMHCUciRCIRtGIL\nM6eOUHseaBEcwVSCjm4C9GFk2hXCF2Uu4FC7vSfee5fdhKZpw59QCCEmkHwaiFmhvrUXfzDM0fou\n2vo6Y8cd+TV2fowRoKbJ3kDW4zLAsKfp/r3tOLsrW0a8phgU6fcCkOa0A8/3Lb9p1HNNw+Tmc97G\n4qzBKbWBgCccDvO1373Mrx+10Mx++z5PN2hhTNxoER3N9BMJGZhhLxcUnT/sGkIIcTbJiJOYFVo7\nfZil+yCi4cgfnvjtWvYibV12ocZw6VY8mY1EAiaB2nL6+ismu7nTTzS/6YMrbqHAm4/H4R7Xw/Vo\n0KM5+zlc1cLhE524ltqr4zRHP5oewcDA1NyEzH40I4QnnMGS7EUAvGXh6yfwxQghxOhkxEnMeMFQ\nmF3HanEUVOMoPDbiObrLx4m+GnuKKM0eYdLMAM7SA+ysG3n1nbDlpLtjo0PpzrRxB01gT+2BvTrO\ntexFNHd3bNRPM+y8p1SnF7fmRXfZBTadhpMMVzrfv+xeXlPy6ol4KUIIcUrTOnDauKeOvVWtyW6G\nmMKO1HbyuZ9vYeOhQ3HHl2QtGnZubWcTtS29EIofiK3tqaWyZnKWu4cjEf701CF2VTZPyvNNhIx0\nHUduHabuIN2ZdlrX0IZUF9ddPtwrXkB398WdU5qbjcfwxm6nmFLcUggx+aZt4PSy1cjPHtnPt/68\nkz89dWj0Pa7ErBUMhfmf32yjvrUXzd0Td9/tq97H7Svfx60r3sUHlr8TgBNtbdz9s5dADxPuTeXO\n1R8GoMlfz1d/9zJbDzSetbZW1nTQ6wtSVdfJE1uPc98Du8/ac0201owtAKSaqThG2YvuVHROnZ+U\nYnpJcaTEbhdkDC+wKYQQZ9uk5TgFQ2F+/egBenxB3n75QvKzvKd+0Bie33cMs2Qfgdpynth6nKvW\nlZCR6pqg1oqZwB+wl7vr6S04y+xiiiprIVeWXgoQy4+pbK+yH+AIgBFAcwSI9LvJ8+QCoEUrUb9s\nNXL+kpH3Puv1BXCaBg5j/N9Fahq7+ervhi+vD4bCp3W9ydYb7MMAri674rSvkUhid3nGfPr9IY7Y\nM3VkeVPHfoAQQpwFk/JX+SP3P88P/rGHF/fUs7OymW1W06kfNIZDNe0ciDyDo7Aac469FPnBF6om\noqliBvEHw2juHlxLtsaOvXfZO2IB04CB/cwchVWY8+0AS0/pwuWIBuLRwKmp3Tfi82w70Mht332e\n7/xlV9zxSCTCwxuPsv/Y8EKNgWCItq5+2rr647YVMfKr8ax9DEdhFccbu8f5iiff8cZuIn47p2lR\n5oLTvo42ZMRJQ+O2c9/LgozS2LFcdzbn5i1jXmZh7Fi+N/e0n08IIU7XpIw4dfUG2DkkZ6Otq/+M\nrvfTh/ehlfYC4Cg8RqCujJ2Vzdx8RlcVM4k/EGLrgUZ7JV1URfZivObwkc5sdyYeh4e+YB+OIZvF\nmroDHYOww05SbunoG/ZYAKu6HYD9x9qIRCLUt/aSm+GhuaOPfzxnB/a/uOuy2Pkb99Txs0f2D7uO\n5u7BGQ3czBKLnYeaKSua2tNRTe19oNsje85R6jYlYqCOU6Yrg4+vuY1MVwYVOYu5e+PXaPW1UZ5Z\nhqZplKbPjT1mbeF5Z9Z4IYQ4DZMSOBk5tYS7sjDn74WIRkPPmSV1tpmHcbp7Y7c9q56l++XX2iui\npJaLAB7fepx/PHcE14pe9IiTu9Z9OLah7MncDjd3r7uTT7/45dixW865AYA8Vz4N1OFc/DLddfPp\n8QVIcccHCC6njp5VT7gzh/fc8wwAl6ycw+oRpvV2HmrmiS3H0Vw9oIeIBJ0QcOFctAMjKz6Hqraz\nBTj9UZzJ0NHjR5uAwEnTNL6x4Ys4dAOn4Ywd31C8ngcPP8q5ecsAmJdazPWL38zCzLJYsCWEEJNp\nUgInZ/luwr2p6F576qGx/TBwQcKP//gPNpKR6uSzN6+ho7sf54JXhp1jLNmEz/9qPC4pTTXbhcJh\nXj58HLNkP7q7Dz2QPmrQNCDdOZgvsyBtAWsKVgKwvnglDx6pw8hswshsorPn6mGBU23oEK5FOwl1\n5OC3zgcibNrbwKK58VuOBENh7v/bbrSUDtznbho83jg3LmhaX7iGzfXbqPfVnm4XTJqWDl9sKtOp\nO09x9ti8I6ySu6LkEtYVribDZY+8aZrGq+deeEbPI4QQZ+KUUYZSygB+CiggAnwQ8AG/it7eA3zY\nsqzwaNcAYkETQE+oa4wzh2vp9NHSaeeX/OThfURyDTQjxJcu+BSb6rbw6NGn0LyddPcFJHAS/OYx\ni3rvZhxZdi5dIvnVQ0cqr5h/cex2yZCpIYDOHj9FOSlxx7rD7WCAkdGC5uzFtfwFAscVO6rdeNY+\nhv/wcgBqmroxck9g5MQHRCcX5FySvYjN9dto97dw+EQHc/NScTmNxF78JDlU086OQ820dPahe7vJ\ndmVj6BPfRk3TYkGTEEJMBYmMdf8XgGVZFwGfBb4CfBv4rGVZGwANeNN4njSg9RIIjhlnxQRDg+cF\ngiGq2+vRDHtqIMeTxRsWvJaUSA6EDbr7ZDd7AS8cPISRNbgAIcU7vmC6JL049vPJdYkON8TXDYtE\nIpxoHvxS4F75HJoRxjl/Pzub7WRxZ/krBIJhKk+04VzwCkbGyFu4rCtczTvPeXssWPMbnXzlty9z\n3wO7hp37yMajvPvrT9PR4x/Xa5soX/vddh57qZpdR2vQHIG4PhNCiJnslIGTZVn/BN4fvVkKtAOr\ngf9Ejz0KvGasa1y78A1xtzVnHz96cA8d3WMnifsDIR549nDs9jarCX+GnWw7J2VwdY3TcIIeorVz\n5FVPYuaLRCI89EIVT247HlsZNyDLnZHQNT677mO8Z9k7yHQNnp930sqtbYdq6I+WOQA4eLx9xC8B\n4Z40IoHBqavqxi6eeOXAiM9bmjaP0rR5vLH8dawtPI9cdzY6Olo0j+9AdXvcFwiAv0eTzvcfTW4B\n2JDLToyflyaBkxBidkjoq7hlWUGl1K+BtwDXAVdYljVQcbILGPOT6dpzX8fu1j0caj2KqTnpN4Ls\n2NfMgrmZ3PKGpaM+7o5vPUNVbSfm/D1EAi5++jC4lrWgRxx846pPx3Zfz/B6aeuGl6w6ivLTOXdx\nXiIva8rKyzu96suz0UBfvXyggX++UAVE8KyNDyaWFi1KqE/z8tJYwcJhx3/xlm/yy21/5/njG6lu\na+Tn/zrAtZcuJBSKcM8fdmCWBIc9RvN2xU1Pf+U3L2Pk1eMEilLzuaj0fC4sWU2mK51UV8qwxxem\n5XEi3IRj3gFCTfP4xaMH0DSNu24+n8a2wYURLo9zXO+XiX5vaSn2hsnL5pbPuPftTHs9Z5P01fhI\nfyVuKvZVwnMYlmW9Uyn1SeAlYGgWZxr2KNSo2tp6+cCyd+EPBblny/fo1+2Roea2XpqaRs93qqrt\nQE9tj+WAhNoK0Bx+nKTQ3urDTrUCr24n9m6vPsS2H7fELf2ebvLy0sbsEzFoaF89u7UaIDZKA3Dv\nhi+wsXYLlxa+6oz7tNBtB+NGTh3bDmSxbX8DpkMHIuhp8XWaBpK7jayGIUcjGLknALh1+XvI8WRB\nP/T1h+ljeNvK0uZT29WAWXQUs+gom7d4AJ3ntlVTeaIDPaMRR8FxjteX0NSUndBrmND3lsOP7ulG\n99rXSw9nz6j3rfweJk76anykvxKXzL4aK2A75VSdUuompdSnojd7gTCwTSl1SfTYVcDzp7qOx+Eh\nw5WGx3TiitYV7Osf/k09GArT1x/kWH0XRu4JXOe8FLvPWfYKOIK49PgK4Xnu6HSKw75eKJxY/tR0\nsPtwC+/++tNU1XUmuylTWn8gjJ7ZgHuF/VY8N2cFKaaXK0ovOe1tQIYaKMboyK/BLLFrMAWCYfTU\ndvSUTua658fOzfPmAKA5B6eiPWsfx0hrp9AssYOmUzgvf0XcbT2zCRz9+Pwh6tu6cantGJlNHOse\nedPis821dCOuii3oaa0Q1k97jzohhJhuEkkO/zuwSin1HPA48FHgw8AXlVKbACfwQKJPaOoOwloA\niNDVOzyZ+76/7uLD33mO3//7YOwbeqyxKV1oepjCzPiZQZfD/mDUU9vQ01t47KXqRJsz5f3pKXtz\n2kc3J+cDcrrwhwK4Fu+I3S7PKpnQ66eYg9NpjoLjOIoP2u+3TLuMwJqi5bxv2U0syVrE+qI1o16n\noqB01PuGWpxVzrKcJbEvCa7FO/Cc9wztvk4aI5Wx80b6HZoMusse7dUcQbTI1FrxJ4QQZ9Mpv4pb\nltUDXD/CXa8+nSf0hfoJRUK4K7bR1XIJAOFwhD88eZC5+ansPWpPexzpOoyr2P75a6+6m39U/h9b\n6rcDMC9tTtw1nQ4718mcUwVzqti8t4TXXzD/dJo35cS2LpbCnmPqicTnNaWaw/OGzkSaM35fNLP4\nCBQfid1Od3tZmb+clfnL7UKsYYOIHjr5MnT4OxJ6Pl3TufXcd7OraS8/eeXXseOVXQfpiwwOXVe3\ntNHS4SMnwz3el3TamtvjK6iHQ1KIUggxe0z6X7ymPnsptpbWwomuenz+IMcaunh6+wl+85gVO89R\nZO89tzz3HNKdabxl4esp9NqVmFVWfAKv24wvSNjU0UMkEmE62ri7ln8+b38g9/qCME1fx2Tr1eOX\n+JtnUMV6JE7D5K2LR6+60RcaXNGpadqIQRPAgoz543rePE9O3O0jx/vwRwafK5LSxCtVI5c3OBs6\nuvv5xI82xR2TESchxGwy6dUiryi5hH9XPwuA5vTxk4f2sWFFEeb8vWjOPgJHlxIJmujpLWQ403nf\nspsAu57OXWs/Sk1XLfPT58Vd0+OM/5D0R/y0d/vJSovPhZoOvvZre0Panr4gT++oicVNodDMydua\naIFgmLqeBhxpcE72Eva1HqAsfWKn6gDWFpzHXw8+OMp9q0Y8/oayK3mk6gmy3VncXHE95Zll43rO\nopQCst1ZtPrs0dfWnm50R0/sF1dPayOYYE20M9XdF+BLv942/A5X7/BjQggxQ0164PTmhVeT7krj\nb4ceBj3Ezspm0tLDOPKPA2Cs/E/s3JX5y+OqEZu6g7KM4R+IDi3+G6+RU0tX7/QJnDp6/ITDkbj2\nPrXdXkmoZzbgKKimq/+iZDVvyntsSzU47EKQNyx5C+nOtAlJCD+Z2+HC1B0EwoOLGtYXrOXGireM\nWjV7TcEqzslRZLjS4+pDJUrTND51/kfYWLeVf1T+HxghNGcfGhpu3Uuvqxd/aPgiizMVDIW58wcb\nWaPyeMeVin8+f4Q9Va2097fjXrl5wp9PCCGmi6TsT+LU7REiTbe/Kb945ACuxcPPe9WcdQldTz/p\nQ8uccxiff+Spkqnoq7/dRlO7j69/8ALc3iABdxOh1kKMvBqcZXsBqKut4q4fGyyam8F7Xn9Okls8\ndfT6Amw/2ISWZgcPbsN9VoImsPOOvrHhi3T4u/j8pq8DUJIxZ8Sg6baV76W6s4ZcTzaaljPs/vHw\nml7mR0fQdHcPureTfE8eOY5i9nXtoD3YBIxvJAvsbVM6ewKsWpSLrts5dP5AiEAoTJ8vSGePn6e3\nn2DZghweerEKtDBOtTtutSDA6+ZffkavTwghppOkBE5mNHBylu/G15eKNsJQ/1XzX8Oc1MJhx0di\nDBlxStEy6THb6e2fHtuvbNnfQFO7nbNy1482YZbtw5lXC8Rvs+HrD9Pra6TpYAvvuEIlde+yE03d\n3P3zLbztsoW8du3ET4kl6skt1dz35x1orl7cJfYWK27H2R1lNA2TXE82N6pr2dqwg5V5y0Y8ryJ7\nMRXZI3wbOE1zUgoAMPKr0TRYnldBsNfDvi7oCI4/x6m108fXfrc9dvv+j2zgjvsGq4pctX4ernM2\nEurM4f4HInjWPj7sGjdXvI11RatP49UIIcT0lZTAaeiIgLNsD5H++F3Rb13xLpbmLBnH9QaDiFQj\nk55gO93+qZ93caK5hx89uBez7BUceSeIhIzYPnwnM7LrY6NPLZ2XMid3YleNjcdfnrG3wfnz05VJ\nDZyqau0Vao65h2LHdG1y1jtcVLyOi4oTGxGdCF7TS5qZRlfAXlG3NGcJh/x2KQR/ZPz71R2rjy8q\nd8d9z2Nk1xGJaIS7s3hs+0HcKzvRUzvt1apDrClYSXVnDSvyRq/6L4QQM1VSAqehUxt6SiekdOI2\nXNyx6v209XewLLdiXNczhwRiXsMDQejqn/qB0+ETHTiKjuDIs+tVnRw0zUudQ6e/mw5/Z9zGsJW1\nrUkLnELhME09bbiWbsR/dCmtnT6y0ydvKfxQXb1+9Kx6HDl1AFy76L+S0o7JEowM5jItyCjlaKNd\ngiEQCnL/A7tZXp7DpasG94zbc6SFo/VdXH1BKTsONmMcaWXlArvKeEePHy2lA/fSTfiPVhDuzsS5\n0B7ljARNwl2ZI7bhojnruHHJtWfrJQohxJSXpKm64U9blFJIafo8Spk3wiPG5nEMjli5HW7ohx5/\n3xiPmBy1zT04TZ3cDM+I99e0tGLOOwjAwswyKtvtb/ZXlFzC1WWvwaE7ONh2mO/t/Gnc4w7VNnPx\nivH300T4+u+30+LZjSOlE9ei7fzpqYV86C3Lx3xMS4eP7r4ApYWD1aXrWnpo7vBRUpBGRopzjEeP\nrrGnGdeinQCUZ5Rx2bwNp3Wd6eKd57yNH+3+FTdVXI9Dd+CMllzo7PVRU9nMzspmli/IxjR0PveL\nLbHimIvmZvD9f7wCwHdufxUuU+d4YzfupXZZAef8/fiPDY7wao4ARlZT3HMXphTw0VUfGFbPSggh\nZpukBE4V2Yu5ueJt7Gu12NZgf/DdsOSa076exzE44uGN/twTSG7g1OML8IVfbsXjMvjO7a9CP6mA\nZUNbL08f2IdrCRSnFHPbue9lc/025ufPYZ45WF3aZQzP2dl44DgXVsynovTUW3dMtMMnOjHnR2/o\nYbr7xs4lC0cifPyHGwH46ScuwdDtqbTP/PSluPM+9OZlrFmSP662NEQGp+hmwwf68txz+P5l98Zu\nm4Y9ctvWM/he/90TBzl/SX5cRfHdRwZHKxtae/nGH3cQ8bbiGrLGwFl6YMTnvH3l+2jobWJD8fpJ\nmwYVQoipLCl/CXVNZ13Rat619Ea+f9m9fP+yeylOLTrt66WYXgAyXRl4TXt0py/oG+shZ92PH9pL\nMBSmqzfAvqOtw+5/ZOPR2Cawryu7FNMw2VB8AefNiU82npc2h1fPvYiK7MWxRGTNEeAbf9xBry+5\nCfCaI0BfoH/Mcx558Wjs5+4+e6rJqm4bdt4P/rmHPVUt/OrR/YTDiRX97A11x36ejSu7PE57pK4/\nGMAs3Ys5fw8HaprsoEkLY5bsx7XsBR7bchQ9rRUj7zi7D7cQCkfQM5qHXW9eSgkpDm/s9pvKr2JJ\n9iJePfdCCZqEECIqKSNOE83j8PC5dXeS6kzlmSN2gb723h6CoTD1rb3MzbNHI8KRCBp2bZyzKRKJ\nsLeqGfd5TxPuS+Xbf4avvn89hdn2h9KvHj3ApupXcKnjeBzuYZXQh3LoDq6PVqx+sfYldjbtwblk\nC4EjK7jtu89z/0c2kOqZ2CrZI3lhdx37jraiOftw5NfEjh/vriEciQwbURtQeaIDDD+aEaKrx09G\nihOruh1HYRWOwiowQoQ7cvFXruTbf7ZzbJ7bVce3PnzRmHW4gqEwQb0XA/jmxV+Mm66dLXLS7PeT\n7u3GyLSn1vw9Gfx1czfu1Ztj5T7MhdsxMu1A6dHtOZhlh2N5dZ9d9zEerXqSlxt3sargHBZnLeTf\nx57hspKLz0oRUSGEmO5mzNfIgpR8UkwvhZnpAFQ1tPKTh/byuZ9vYU90quK7f9nFF3659ay3xR8I\ng7cTzRHESGvHLNnH4drBUZbnD1q41MsA3FRxfWzE7FRW5NqrmDQ9Yify6nZScKLbyzyzvYYv/3or\n/sD4alw1tvfxi3/tZ/O+BpwV8VNsemo7VbWdccee3XGCb/95J6FwmJreajyrn8a98j/0+e0Rp30N\n1ZglFprTDqiM7AaM7Pq4azy9vYaxtHb1o5n96BEHbiM5yenJNrA6dSBoAnCW7UVPb40FTfb9g6NL\nmqcnFjTlenLI8+Rw45LreOviN3F5ycWUZZTw/hXvZGFm2ahFPYUQYjabESNOQw2MPET0ANss+wNl\n37E27ntgN6HoFJA/EMJpnr0PBV8ghO7uid12FFazp2UfF1FMIBjGLN0fu++cbJXwddOcqazKX8GO\nxt2A/YFZecKgoa0vNpo1lt8+YSeiH6rpYGlZdsLP29jWy8B2w7orfgpUT+mgpdNHefFgVezfPG7v\nOfilX22jL39XLDrvDwQIhyMc9x3iZM6FuwjUdWIWVRFqz6WxOw0oH7VNNY3daGY/bj3lrI8gTlXe\nUUbZzOLKUR8zELBfNf9yXl92JZqm4dAdXDJXKtMLIUQiZsyI04BYorgRBIcfI7eGrr7+WNAExCXO\nDnWopp2Ne+rOOHeo3x/EUXgs7tg2q5HG9j58/iBadHuQL11w17g3o72w6PzYz86Fu3CqbdS3Jlh6\nwexHT22jpXN8+V+dvf24lm2MK4L4nmXvwNScGNmNoxYbPd7YTSQ4GJvXt3dxpK6ToDZyXpQZ3djZ\nyGymMVQ9ZpuqGzrB7CfdmTbmeTNZlnvkkgGawx7Z8zjc3KBGXnSxKn/FrA04hRDiTMy4wCnHnQUR\nzS4YuWg7zgV7qO630Lwd6Fn2dFBX3/CCgd19Ab72u+387JH9I29kOg7dPj96SifOSEpsd3vN3cOx\n+i58/hCaI4ArnEaOJ/FRnwHn5Ci+dMFdlEY3OjYyWrj/bzvo6I4PRrp6/fz3/77A53+xheqGLrr7\nArhXPIfrnJf41ZM7qW7oGunyw0QiEfY3VKN7488/L38FGvYHb3t/e+y4PxDCyKnFyLP3HkQbDFj/\n8LTFV3+7DT2rAR2d8ozRtwnpCXcOOxYIhmnp8NHa6eNISy2aBvkp4+/DmWRd4WDl7psqro+7755X\nfZ5XFa/ngiHB9oCiaCVyIYQQ4zPjAqcMVzrnF5yH7u7DSLM/0Jv7WnAv24Rr0U70rHo6e+JHSCKR\nCD/8556BWzS22SNDp6um1V5Fl2vO4aaKtwFgzq3k4e277D30jAAO7fS3BsnxZPPRVR8kzbRHW8wF\nr/DSvoa4c/YcaaW9u5/jjV08+XIN1Q1dsQKbmh7iC7/cmlBu1Ka99Ww6eDTu2JqClQCoNHuV3mXk\njgAAFGZJREFUX8+QKu2dPX6c5bvtKudGAM0cDFI1LYSe2o7u8rE861w+vPI9FHpHLkHQT3yg1tDW\nywe++Swf/+FG7vzBRg502VXUzyuc3dWrryy9hMtLLuabF3+R9UVrYlNun1n737EcpRvUNdxUcT3f\nvfoL5HtzuWzeBlklJ4QQp2nG5TgB5Hnj6xsFghEGJsTMeRZdvZfG3b+rsoUDzUdxn7cNzREg1JFD\nr+9C3M7xdU9zRx/f+csuwq5OmAvZ3jRK0gYrOdd1N9LV50Mzwjg5sz3VnIbJqvzlPHdiI0Z2PX96\nupLL18zlX5ur2bq/keXlWbhWPA9hnRf2ruOF3XV41kYfHA2gDhxro2L+6CM24UiEn/1rD2ZZLQA3\nVbyN8wtWxj50M9wp0AmNXYNBTkfvYKDkWf1U/AX1MJj2yNj8zDm4DCcfXPEuvrD5nmHPHdQHc8R2\nVTZz3wO7o20PYGQ1YBYfAeDcWb7tR2FKAdcsfEPs9nWL3sg1C98Ql9ht6Abri9aQl5bG59d/IhnN\nFEKIGWNGfu10GqNXotZcPpp6OmK3e31BNu6txyyuRHPYI1FGRgs/emgv4QRXqw346zOHqWvppanL\nvn5eagamYXLzkrfbz+308eAmO0HbpZ/5SrBrFtkfmJoGmquXnz+yn388d4Sapm4e37cT3d2L7u3G\nUVTFQHI3gHvZRlznPsum/XVjXr+5vQ9HfjWOnHpM3WRJ9kIM3YjlxuSl2ysYD9e3sP9oKy++UkdD\n+xhTgHo41scZLrtERJ43h29s+ELslP+58NPoIRdho59AMMzB4+3c97edoIXQMxvxrH4K5wJ7dLAw\nNW/M/+vZSNM0WQ0nhBBn0YwccTq52rbmHEyG1rQIzb12eYJgKMxt330OiOBZG7/FRGVNB62dvhG3\nS7Gq23hmxwkuXFbIivJcAHz+IFsPNKK5etGc9qhKpjs1+q8dYJglFoetFFz5TMgSelN3UODNo6G3\nCeeSrWze5cVRfAiz+DDh/sHrm3OOoOnxJQh0lw+rcR8w+ohNe7cfLZrb9N+rbyXTlRF3/8Cqrv6w\nj2/8ya4Av2FN5qjhuKOoKha/pTgHVwF6TS857iy8ppcsdyYmHkJmN21dPr715x24lr+A7h6eAP+J\nDbfC2PU3hRBCiAk1I0ecXCeNQgwUbDQ0O07s8NkVp9u67E9dR1H87u8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GfKNlWfVKqc9g\nL9stAO60LKs+qQ2cQqSvxkf6K3HSV4mTvkqc9NX4zKb+khGnM1OM/UbJUErdj10s7i7LsgLJbdaU\nJH01PtJfiZO+Spz0VeKkr8Zn1vSXBE5n5mLgLuA84LeWZf0+ye2ZyqSvxkf6K3HSV4mTvkqc9NX4\nzJr+ksDpzPiBzwLfnClzt2eR9NX4SH8lTvoqcdJXiZO+Gp9Z018SOJ2ZX1myz1yipK/GR/orcdJX\niZO+Spz01fjMmv6S5HAhhBBCiARJHSchhBBCiARJ4CSEEEIIkSAJnIQQQgghEiSBkxBCCCFEgmRV\nnRBiylFKzQcOAgN7FnqA3cBtlmU1jPG4ZyzLuvTst1AIMVvJiJMQYqqqtSxrpWVZK4ElQCXwwCke\nc8lZb5UQYlaTESchxJRnWVZEKfV5oEEptQK4HViGvQ+WBVwD3AOglHrJsqx1SqnXAV8CTKAKeJ9l\nWS1JeQFCiBlDRpyEENNCtBrxIeDNgN+yrAuAhdjTeFdblnVH9Lx1Sqk84OvAay3LWgU8TjSwEkKI\nMyEjTkKI6SQC7ACOKKU+jD2FtwhIPem8dUAJ8IxSCsAAWiexnUKIGUoCJyHEtKCUcgIKWAB8GbgP\n+CWQC2gnnW4AL1iW9cboY91A2uS1VggxU8lUnRBiylNK6cAXgc1AOfAXy7J+CdRj78puRE8NKaUc\nwEvABUqpxdHjdwPfmNxWCyFmIhlxEkJMVXOUUjujPxvYU3Q3AsXAH5RSbwX6sYOpsuh5DwK7gNXA\nu4G/KKUMoAZ4xyS2XQgxQ8kmv0IIIYQQCZKpOiGEEEKIBEngJIQQQgiRIAmchBBCCCESJIGTEEII\nIUSCJHASQgghhEiQBE5CCCGEEAmSwEkIIYQQIkESOAkhhBBCJOj/BwtX4wI6XfJmAAAAAElFTkSu\nQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x116115ad0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fd.plot_data(cols=['High', 'Low'])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Backtesting Class"
]
},
{
"cell_type": "code",
"execution_count": 61,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"class SMABacktest(FinancialData):\n",
" def __init__(self, symbol, SMA1, SMA2):\n",
" FinancialData.__init__(self, symbol)\n",
" self.SMA1 = SMA1\n",
" self.SMA2 = SMA2"
]
},
{
"cell_type": "code",
"execution_count": 62,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"sma = SMABacktest(symbol='AAPL', SMA1=42, SMA2=252)"
]
},
{
"cell_type": "code",
"execution_count": 63,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"42"
]
},
"execution_count": 63,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sma.SMA1"
]
},
{
"cell_type": "code",
"execution_count": 64,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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TI37+rIk5PfaZAyoAu83KtZfO5LaPLeLCJeON/X/6t2o00AUZoRot/IEA1jhO94EEVEII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\niIiISJT+D818hJNG8cxlAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1162102d0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sma.plot_data()"
]
},
{
"cell_type": "code",
"execution_count": 65,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"class SMABacktest(FinancialData):\n",
" def __init__(self, symbol, SMA1, SMA2):\n",
" FinancialData.__init__(self, symbol)\n",
" self.SMA1 = SMA1\n",
" self.SMA2 = SMA2\n",
" self.prepare_data()\n",
" \n",
" def prepare_data(self):\n",
" self.data['SMA1'] = self.data['Close'].rolling(self.SMA1).mean()\n",
" self.data['SMA2'] = self.data['Close'].rolling(self.SMA2).mean()"
]
},
{
"cell_type": "code",
"execution_count": 66,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"sma = SMABacktest('AAPL', 42, 252)"
]
},
{
"cell_type": "code",
"execution_count": 67,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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9Ju31VU5xrfd1cIC+xecrj6xFq9EyP35un/bxH34+Ho1G432GqqoY9FrKq20A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\nMClQiYiIiIRJgUpEREQkTP8PVZJYuWN9wZ0AAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x116889350>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sma.plot_data(['Close', 'SMA1', 'SMA2'])"
]
},
{
"cell_type": "code",
"execution_count": 68,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"class SMABacktest(FinancialData):\n",
" def __init__(self, symbol, SMA1, SMA2):\n",
" FinancialData.__init__(self, symbol)\n",
" self.SMA1 = SMA1\n",
" self.SMA2 = SMA2\n",
" self.prepare_data()\n",
" \n",
" def prepare_data(self):\n",
" self.data['SMA1'] = self.data['Close'].rolling(self.SMA1).mean()\n",
" self.data['SMA2'] = self.data['Close'].rolling(self.SMA2).mean()\n",
" self.data['Returns'] = np.log(self.data['Close'] / self.data['Close'].shift(1))\n",
" self.data.dropna(inplace=True)\n",
" \n",
" def run_strategy(self):\n",
" self.data['Position'] = np.where(self.data['SMA1'] > self.data['SMA2'], 1, -1)\n",
" self.data['Strategy'] = self.data['Position'].shift(1) * self.data['Returns']\n",
" return self.data[['Returns', 'Strategy']].cumsum().apply(np.exp)\n",
" \n",
" def optimize_strategy(self, SMA1list, SMA2list):\n",
" for comb in it.product(SMA1list, SMA2list):\n",
" SMA1, SMA2 = comb\n",
" self.SMA1 = SMA1\n",
" self.SMA2 = SMA2\n",
" self.get_data()\n",
" self.prepare_data()\n",
" res = self.run_strategy()\n",
" print('%3d | %3d | %.2f' % (SMA1, SMA2, res.ix[-1]['Strategy'] - 1))\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 69,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import itertools as it"
]
},
{
"cell_type": "code",
"execution_count": 70,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(30, 100)\n",
"(30, 150)\n",
"(30, 200)\n",
"(40, 100)\n",
"(40, 150)\n",
"(40, 200)\n",
"(50, 100)\n",
"(50, 150)\n",
"(50, 200)\n"
]
}
],
"source": [
"for i in it.product([30, 40, 50], [100, 150, 200]):\n",
" print(i)"
]
},
{
"cell_type": "code",
"execution_count": 71,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"sma = SMABacktest('AAPL', 42, 252)"
]
},
{
"cell_type": "code",
"execution_count": 72,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" 30 | 150 | 1.92\n",
" 30 | 200 | 4.29\n",
" 30 | 250 | 3.38\n",
" 40 | 150 | 3.25\n",
" 40 | 200 | 3.81\n",
" 40 | 250 | 2.73\n",
" 50 | 150 | 2.90\n",
" 50 | 200 | 3.64\n",
" 50 | 250 | 2.72\n",
"CPU times: user 2.05 s, sys: 31.5 ms, total: 2.08 s\n",
"Wall time: 7.68 s\n"
]
}
],
"source": [
"%time sma.optimize_strategy([30, 40, 50], [150, 200, 250])"
]
},
{
"cell_type": "code",
"execution_count": 73,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"sma = SMABacktest('AAPL', 35, 200)"
]
},
{
"cell_type": "code",
"execution_count": 74,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Returns 2.421748\n",
"Strategy 4.514266\n",
"Name: 2017-06-02 00:00:00, dtype: float64"
]
},
"execution_count": 74,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sma.run_strategy().ix[-1] - 1 # subtracting intial capital (\"first 100%\")"
]
},
{
"cell_type": "code",
"execution_count": 75,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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KpbLWcr/9jl6CJN82WOyWIWnPcHG6nABow1xA0pcESUIIIUQ//bf4U278/k/KQqxlreVB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\nHkjGf8+xAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1164005d0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sma.run_strategy().plot(figsize=(10, 6));"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Improved Class"
]
},
{
"cell_type": "code",
"execution_count": 76,
"metadata": {},
"outputs": [],
"source": [
"class SMABacktest(FinancialData):\n",
" def __init__(self, symbol, SMA1, SMA2):\n",
" FinancialData.__init__(self, symbol)\n",
" self.SMA1 = SMA1\n",
" self.SMA2 = SMA2\n",
" self.prepare_data()\n",
" \n",
" def prepare_data(self):\n",
" self.data['SMA1'] = self.data['Close'].rolling(self.SMA1).mean()\n",
" self.data['SMA2'] = self.data['Close'].rolling(self.SMA2).mean()\n",
" self.data['Returns'] = np.log(self.data['Close'] / self.data['Close'].shift(1))\n",
" self.run = self.data.copy()\n",
" self.run.dropna(inplace=True)\n",
" \n",
" def run_strategy(self):\n",
" self.run['Position'] = np.where(self.run['SMA1'] > self.run['SMA2'], 1, -1)\n",
" self.run['Strategy'] = self.run['Position'].shift(1) * self.run['Returns']\n",
" return self.run[['Returns', 'Strategy']].cumsum().apply(np.exp)\n",
" \n",
" def plot_strategy(self, SMA1, SMA2):\n",
" self.SMA1 = SMA1\n",
" self.SMA2 = SMA2\n",
" self.prepare_data()\n",
" res = self.run_strategy()\n",
" ax = res.plot(figsize=(10, 6))\n",
" self.run['Position'].plot(ax=ax, legend=True)\n",
" \n",
" def optimize_strategy(self, SMA1list, SMA2list, verbose=True):\n",
" opt = 0\n",
" for comb in it.product(SMA1list, SMA2list):\n",
" SMA1, SMA2 = comb\n",
" self.SMA1 = SMA1\n",
" self.SMA2 = SMA2\n",
" self.prepare_data()\n",
" per = self.run_strategy().ix[-1]['Strategy'] - 1\n",
" if per > opt:\n",
" com = (SMA1, SMA2, per)\n",
" opt = per\n",
" if verbose is True:\n",
" print('%3d | %3d | %.2f' % (SMA1, SMA2, per))\n",
" print('\\nBEST STRATEGY\\n%3d | %3d | %.2f\\n' % com)\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 77,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"sma = SMABacktest('AAPL', 42, 252)"
]
},
{
"cell_type": "code",
"execution_count": 78,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" 30 | 150 | 1.92\n",
" 30 | 175 | 3.17\n",
" 30 | 200 | 4.29\n",
" 30 | 225 | 3.53\n",
" 30 | 250 | 3.38\n",
" 32 | 150 | 2.51\n",
" 32 | 175 | 3.19\n",
" 32 | 200 | 4.09\n",
" 32 | 225 | 3.50\n",
" 32 | 250 | 3.54\n",
" 35 | 150 | 3.20\n",
" 35 | 175 | 4.03\n",
" 35 | 200 | 4.51\n",
" 35 | 225 | 3.40\n",
" 35 | 250 | 3.70\n",
" 37 | 150 | 3.32\n",
" 37 | 175 | 4.53\n",
" 37 | 200 | 3.83\n",
" 37 | 225 | 4.01\n",
" 37 | 250 | 3.36\n",
" 40 | 150 | 3.25\n",
" 40 | 175 | 5.17\n",
" 40 | 200 | 3.81\n",
" 40 | 225 | 4.23\n",
" 40 | 250 | 2.73\n",
" 45 | 150 | 3.62\n",
" 45 | 175 | 5.29\n",
" 45 | 200 | 3.36\n",
" 45 | 225 | 3.58\n",
" 45 | 250 | 3.15\n",
" 50 | 150 | 2.90\n",
" 50 | 175 | 3.47\n",
" 50 | 200 | 3.64\n",
" 50 | 225 | 3.00\n",
" 50 | 250 | 2.72\n",
"\n",
"BEST STRATEGY\n",
" 45 | 175 | 5.29\n",
"\n",
"CPU times: user 218 ms, sys: 10.2 ms, total: 228 ms\n",
"Wall time: 227 ms\n"
]
}
],
"source": [
"%%time \n",
"sma.optimize_strategy([30, 32, 35, 37, 40, 45, 50],\n",
" [150, 175, 200, 225, 250], True)"
]
},
{
"cell_type": "code",
"execution_count": 79,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"BEST STRATEGY\n",
" 45 | 165 | 6.38\n",
"\n",
"CPU times: user 1.01 s, sys: 12.8 ms, total: 1.02 s\n",
"Wall time: 1.04 s\n"
]
}
],
"source": [
"%%time\n",
"sma.optimize_strategy(range(15, 51, 5),\n",
" range(150, 251, 5), False)"
]
},
{
"cell_type": "code",
"execution_count": 80,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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xyNUbGgDwb1NCw0/XGjRNi5msJHEEuGDYOUyMGsfNE6+lsL6YYO9A7pn+N/Rm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\nEEL0Z0fLsvjH6iecjk+KHcv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w+WxtDGbXvSlGi/W4RtW/A4W2sgutPY2/OyuNhMgAThsX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\nJAAlSSIiIiIB/H+9/1i0GuzMygAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x11687b150>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sma.plot_strategy(45, 165)"
]
},
{
"cell_type": "code",
"execution_count": 81,
"metadata": {},
"outputs": [],
"source": [
"res = sma.run_strategy()"
]
},
{
"cell_type": "code",
"execution_count": 82,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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BKdZLx1xIuqPtYrS9kQRfQgghuozX76U4mGu1bO4v+eGk7wB6sFDraUpwrw4G\nRvlVB9lcso2AFuD9g5+0uF6oltW8sLcR0x1pEUU1X971V9YVbeLDQ58aI1xev5eGsNGSaFNgoVG2\nUFmMrvTq7r/x6p6/G32aPnASo9JGdPp65w1fFLGfZIt8qzRUCX9W3rRO36M1Xxt9QUztvEbwNYd7\nTr8NgJyELC4d27KYrDfgo8ZTa/z5efxeHtjwGEuX/4LVBeuo9zYA9Ppiqq2RUhNCCCG6zIpjqzle\nX8y8wXPJTsgy8nO2lGyLyLG6Z93DPDz/bmMKrj3N3wy8fso1Uc/dXrabydkTWiTjR5siC1WAD0QZ\nFesq9637PdDpZRENF48+H5/m49MjXwBNFfNBn2LdVLIVoN1yEJ1x9rAF7Czfw76qA20usB1ar9Fq\nspDpzOCPC+/HbDJHLRESqvP1/sFPWDjkDA7VHDECyNfVtxmbPgqg3cXEeysZ+RJCCNFlQm82Xjjy\nXEDPTQoJVb0HaPS5+NWqe6JeIyNKgrjDElnna0z6SO6a8wuGNqts/qftL/P4lucob5ZMH23kK7RE\njl8LUOGqbFGJPV7Cr1sdDApr3W1P2cXiopHn8e0Jl5ObkB1RpLQ0bAqyK6YcTSYTicGRtoY2yl2E\npnqtZpvRl9Zqs83MmwrAR4c+5cENfzRqhIXsqzoA0CenHEGCLyGEEF2o2lOD0+I0ygE4LA7mDJjV\nStvopSIGJOW2ONa8yCrodaRuPe2n/Hjq97ls3CXG8b1V+3lsy7MRbaONfAUC+siXhsYdX97PB2FL\n18RTtGrw8QiKbBYbcwfOItGWiDssXyr0ZumZXVgPKyu4LuOvV9/LkZroNb9C07o2S/uTbuPSRxvb\nle4qNhRvAeDGqT+MaJfhjN+bm91Jgi8hhBBdxuVzRYx2mUwmvjPxcqztlAcI5SxFKyNwat4MTgkr\nTdDcKVnjjSV3mguNlEQrK+Fv9gbkmsINbfaxs6ItBh7PESmnxYFP87OnYh9rjm80gq8JWUrc7tHc\n1ODz9ml+/ro3+uLpoZwvq6n94CulWe2ussZyHBY7Q1MHG8dMmCJ+tvoSCb6EEEJ0mcZmwVdI+IRe\n80WQ7557GwsGnw7AwKQ8Lhh5jvFZpjODa065st2aWGn2plyg8ABu0dB5AOyrPNDinECzEanm+wA7\ny9WYqrm3JVrwNTh1wAldM1woSf3xr57j1d1/4539HwAwIDEnbvdoLuKN05qj/GTFrzhaWxjRJjTV\nG8vi4ckIGep3AAAgAElEQVS25BbH5g48NWJ5Ko2umRbuDpJwL4QQoktomobL78YZJfgKn/ZrnvWT\nlZDB2cMXUu9r5JxhC8hwpvPkooeodtfiiHFhbpPJxNScSRTVF+Pyuan21DAqbTizB8zkH/nvGesC\nRvYpcuSr2lNLrafOqEGlaRpPbX0BgG9PuJxkWyKTsyfG1J9w7mDwNTVnEheMOJtdFSqXTT2f6sr2\nF5OOxd6qlisI6GU54lffK9r1r5v8XWPRcl/AxwMbHuX+M+8wkvxDwZc1huArvO5XyKi0EZhMJm6Y\n8j2e3vZnZg+YGcdv0L1k5EsIIUSXcPs9BLRAu1NDR+uaRkj+b9q1ADgsdi4fd0lETk+aIyVqINea\n6yZ/lzvn/Nx403FAYh7J9iQyHOnsrthLYV1RRPtohVc/OvRp1M9f3f03ntn2EqXtVM2PJjTylelM\nZ0jKIM4dfhZ2a+er2zc3InVYi2OZzoyYgp4TMTVnEjfPuAG7uSlA3lOxj0pXFUuX/4J9VQewmq3t\nLoAO+rqVS0ZE1j2zBwPvSdkTeGjeb/jf8d+I7xfoRhJ8CSGE6BIuv14I02lpmRwf8t0JV3Cl8nVj\nf3zm2Lj3IzQ9FVrYudKtV7K/b/0jEe2iJeGvOLaar0p3AOAJq7Yf8pu1D0Zd/Lst+cE39WLJfeqM\nH025psWxtv4M4mlM+kh+v+Ae4880v+ogt3/5W+PzWL+zyWTiwlHnRRwLrSMJek5gLNOXvZUEX0II\nIbqEK1iFvK2Rr6Epg5k3eC53z72Vh+cv69L+hEZ+rp54ZdTPo418ARwL1pfyRgm+AFYVrOtQP97O\nfw9oqtYfb9Gm7KKV1ugqZpPZmI5dXRj5bGKdNg5ZMOQMY9vewXN7s5jCRkVRNgOhdRkOAvcBL6Hn\nTO4AlqqqGlAU5VrgesAH3Kuq6nuKoiQArwK5QC1wtaqqpYqizAEeC7b9j6qqXfu3TgghRLdqNIKv\nllXIzx62gJUFa4w8pKyEzG7r12kDZrCmcAN7q/bT6Gs0+tc85yskVJfL648efH12bBVfG3NBh6f1\nUrqg4GnIkhFn82FYqYxo5S26Upo9lRRbcov1GZvXZ2vP2cPm8/mx1Z06tzdrd+RLURQnYFJVdWHw\nf98DHgFuV1V1Hnqu5CWKogwAbgLOAM4D7lcUxQHcAGwPtn0FuD146WeAbwFnArMVRZke5+8mhBCi\nB4WCr2h5Wl8f8z88suDebh3NCH87bkBSHgBljXrJCU3TWh35CgmNfEVboidUTDbE5XNT561v0Q4w\nqrNf08oIXDz8z8hzuPf0XxlJ6e29HRpvJpOJS0YvaXG8o/0If2s1yZbURsu+JZZpx6lAoqIo/1EU\nZXlwxGom8Hnw8w+Bs4HTgNWqqrpVVa0G8oEp6MHVR+FtFUVJBRyqqu5XVVUDPg5eQwghxEmiMYZp\nx+4UXlk+OzjSVt6oJ8y3FXiFzvIER75S7MkR02FAi0Dr/g2P8suVy6Je1+33YEJfPLqrmEwmMpzp\nzB4wE4fFzllDzuyye7Vm9sCZxjJQoSWHmi8L1Z7w+mfJzdar7MtiGSNtAB4GngfGogdQpmDQBPpU\nYhqQClSHnRftePixmmZtR3XuKwghhOhtqt21vLjzNaD3BF/haw6Ggq8yVwWHa46Sk5Ddov30nMls\nKd2ON+Cl0lWFWpkP6IVaFw+dz9fH/A/bSnfy4s7XjEAzpCwY1JU1lpMbVl/rUM0RjtQeY0z6yJje\n+jtRSuYYHllwb5ffJxqzyczPZi4lwepk2ZqHCACOKCsTtOfCkedS0ljWJUsj9ZRYgq+9QH4w2Nqr\nKEo5+shXSApQhR5MpbRzvL22rcrISMRq7d4Hn5PTdfPx/Y08y/iQ5xg/8izb5w/4Y/qFF+1Z/unz\nPxvbg7KzevR5373oZ7yz52MumnwWCTY9EBxrGwrb4T+Hl/PP/Pc5fZi+5FFuUhYl9eXMHDSZ70z7\nBls+2M7yoytZfnSlcb3xg0aQm6tPh5UE9CAuvzafb+acR3P/OPhv7lj4U2N/ZaleX+ySU85p8UxO\nxp/J0HfyfannnA3JyOvw9/xuztfbb9TKfXurWIKv7wOTgR8rijIIfdTqP4qiLFRVdQWwBPgMWA/c\nF8wRcwAT0JPxVwMXBD9fAqxUVbVGURSPoiijgQPoOWJtJtxXVjZ04ut1Xk5OCqWl0dcZEx0jzzI+\n5DnGjzzL9i0/upK3973L/MFzuUJp/ZdftGf50s6/srV4t7GfZxrUo887i1x+MP471FV5qUOfOjT7\n9BGY+uBC0F8e2QjAmNRRXHvK1eQl5tBQE32R6ARvqvF9HF49D6mktoIjx0tbjPJtL1YjvntFjb6t\nNVojjveXn8lUU3qXf8/e8izbCgBjyfl6AUhXFGUV8CZ6MPYTYJmiKGsAO/CWqqpFwB+BlcBy4Neq\nqrqAp4FTgudfR1OQ9SPgNfSgbIuqqh17V1cIIUSXeXvfuwB8UbCmw+duKN5sbP9oyjXYemGJAKfV\nSXJYArcpWGffaXUyKHkAFrOFRGtC1Dc1M5xpxnZ2QiZWk4VjdYX87Is7afDqAwXR1qSEpgKrHc19\nOlmEaq31d+2OfKmq6kF/K7G5BVHaPgc81+xYA3BZlLZrgTkx91QIIUS3aJ48rmlap/KTFg+b36nl\nd7pLoi3B+K4Wkxmf5o8oRmoxW5ieM4kvjzctsJ1mT4nIHQO9TEZo8epaTx2JtkTjzUqnRR8JK6ov\n5r71fzAS8E+mmlUd0ZVLHPUlUmRVCCFEhILa4xH7Ln/saw6Gv903M3dq3PrUFWxhy+CE6mAlNnuj\nbmLWeGN7Ws5kfj37lhbXSQwbHdPQ64GFnkOoPMUnhz+PeDbdXfqhp507/CwynRlkO7uvnltv1ndr\n8wshhOgSR2qPAfqSNC6/m2p3TcxvLPoCTcU8h6YM7pL+xUv4GoQhrmZvLYZPk107+TtRrxMRxAV8\nHA4+P9CXLApoAWN9yZDuWu6nt7hk9JKodb/6Kxn5EkIIEWF7mZ4sPy1nMgBv7ft3zOeGlrGZnD2x\nxfRcb2OLEnzNHjgzYn9gUh5zBs7iwpEt32QMCR8Z9Gk+DtUcifjc4/dSGxZ8WU2WDi0QLk4+vftv\nhhBCiG5V56lnf/VBAEakDQNgd8XeVqu1N+fT9OCro0vt9ISSxrKI/WsnfadF4VOzycx3JlzOkpGL\nW71Ofdiz8fp9Rs2v1ODyQc9tf4WjdYVGm/CpTNE/SfAlhBDCsLlkq7Gd7mha2qX58jmtCY18WU29\nP/iqcldH7Hd2mjQ8MPVpPuONxgxnOgB7KvdFtD+Z1igUnSPBlxBCCEBPln/v4H+M/RGpw4ztP+98\nHX8wn6vWU8eWku3UeVqOhoWCL1sfqEY+LWdSxH5nF/d2B4Mt0L+/N/gMWls+aHjqkE7dR5w8JPgS\nQggBQHFDKfXBOlU3TvshKfZkbpm5FNADs8+OrQLg3/s/5Pkdf+GZbS+1uEYo4d7SB6YdrznlW/zq\ntJtP+DoTsxRje1PxNrzBNSAzgyNfAD+Y9G1An8Zc2GxdSNH/9P6/HUIIIbpFKCl8XPpoxmeMBWBE\n6lDj8zpPPRWuSqPuVYWrIuL8Bm8jz+94FQBzN6xbeKJsZqtRd2pgUl6nr/P9U67in/nvsbpwPRuK\nNxslNuYNmkujt5EzB89heOpQhsz5BSn25G5Z01H0bhJ8CSGEAPTpRIBpuZONACH8jcVdFSqfHFlh\n7Nd5G9A0zdjfWrqD4oYSAKrcNd3Q4xPnsNj57Rm3R9Tq6qgEqxMlYwyrC9cDsCmYN5dkS+SqCU01\nxqW6uwiRaUchhBAA1AZzuFLsyRHHQwVBC+oii6/6NT+fHljFnV8+QFljuVHlHYCwoKy3S3OknvAS\nSFOb5Y8NSMyNuTaa6H8k+BJCCAE0TTum2CKDr1+d9v9atA0FZH/a+Drlrgp2lau4w+pd9Z3QKz6s\nZis3z7jB2P/x1O/L9KJolQRfQgghAKj16tOOzUe+shMysYUl0P9y1k3MHjArok2FqyrirT+NAP1N\neGmOzr45KfoHCb6EEEIArU87AiRam9Y8dFgdJDabUvvkyIqIullaH5p2jJcMRzrDUgazZMTZPd0V\n0ctJwr0QQvRzNZ5aCmqPU+upxWwyR00+T7IlUu3Rk+gdFjuDkge0aKNW5hvbgX438QgWs4VfnvqT\nnu6G6AMk+BJCiH7uwQ1/NEat0h1pUXOV8pJyKawvAsButjMmfXSb13SY7fHvqBC9VEWNi4wUR8x5\nfjLtKIQQ/Zg/4I+YLhyZNjxqOyWjKdhyWOykOVKivs2XYk9mes5kvjH2ovh3VoheaH9BNT976kse\nfG0zXp+e61jX6G3zHAm+hBCiHztSe8zYPn/EYr6lXBq13diwkS5LcOmgLGfLpPKp2afww8nfMdY1\nFOJkV1iu50ruPVbN1nx9sfaP1h1p8xwJvoQQoh97Q/0HAFeN/yYXjTqPRFti1HbR1inMinJscPKg\n+HZQiF7u3dWHjO03Pt3HQ69v5vOvCto8R3K+hBCiHwsVTk1zpLXZzh6lCGlaWGmFkCEpA+PTMSH6\nALfXT1m1y9ivrHVTWetu4wydBF9CCNFP+YOLYANMzBzXbvv5g+dGVIJPsiUBeomFSncVAIOSWr4F\nKcTJqqSysVPnSfAlhBD9VHlwYezpuVNiekvrCuXrEftzB87iuKuQMweczjPbXkLTNJyypI7oR4oq\nGgCYMjqLbfvLAXjx1kWs2VHU5nkSfAkhRD+kaRoPbngcgJTgCFZHZSVk8qsF/0dpaS33n3FHPLsn\nRJ8QCr6yUiP/0TF3UtsjwBJ8CSFEP1Tlrsbl13NVThsw84Svl2hrWZhViJNdcTD4GpqrrwoR63Ke\nEnwJIUQ/VOfVf2ksHHIGI9OG9XBvhOibiisasJhNzJs6EI/Xz9Qx2TGdJ6UmhBDiJLHm+Eae2fZS\nRCJ9a+q9em2i1kpLCCHaV1btIivVicVs5tzThpGXGdvfJxn5EkKIk0BRfQmv7v4boE8pZiXoBVC/\nLNyAxWRm9sDIqcVqt75OY3In872E6O92Hqygut7DoOyO/x2S4EsIIU4Cb6r/NLZ9AR+aplHjqeO1\nPX8HaBF8HasrBGBoihRFFaIz/vC3rQAUltV3+FwJvoQQoo9bcXQ1e6v2G/u7KvZy97qHI9o0+hpJ\nsDYlxbt8erJ9si25ezopxEnGYjER8Gl87cyRHT5Xcr6EEKIPK20o5+/7/hVx7JPDn7Vot+LolxTU\nHefBDY+xp2IfLr9ehdthcXRLP4Xoq/YcrmTfsaqIYwVl9Xh9AcYPS+fiTgRfMvIlhBB92F+CeV4A\nafZUqj01VHtqW7R77+DHvHfwYwCe3/EXRqWNAMBhsXdLP4Xoa+oavby1Yj9fbNWn6J//5VmYTSZK\nqxq54/l1AIwc1HKJrVjIyJcQQvRhFa5KAO4/8w7mD5lrHM9JyOLRBfeRl5jb4pxGn4u9lfmYMEVd\ns1EIASu3FRqBF8AL7+3C5w+w61CFcWx4Xkqnri3BlxBC9BHFDaUcqjli7GuaRq2nluGpQ0m1p2A1\nN01m2C12bBYbmhaIei1vwEeSLRGzSX4NCBFNTb0HgOw0vXr9mp3F7DxYwcsfqQDMGp/LTCWnU9eW\nv3VCCNFH3L32d/xu4xP4Aj4ACuqO49P85CRkAWAztxzFCqC1er0hyfKmoxDN+fwBXvpwj7E+4y1X\nTOOqc/SF5x97axsAdquZH39tEhZz58IoyfkSQog+oKyx3NjeV3mACVnj2FK6HYCpOZMAsIcFXwV1\nxwGMka9T82YwKXs820p3sqlEf0V+cMrAbum7EH2F1+fn+oc/jziW4LQybmh6xLFvLBx9QveJKfhS\nFCUX2AScA/iAlwAN2AEsVVU1oCjKtcD1wc/vVVX1PUVREoBXgVygFrhaVdVSRVHmAI8F2/5HVdVl\nJ/QthBDiJLeuaLOxXVB/nAlZ49hWuhOr2copWeMBmJ47mS8K1nCk9hiLh84H9MBs+dGVjMsYzay8\naczInWIEXzLyJQRU1Lj4+4r9nD1zCAcKayI+G56XQnKCjdREO1edM47XPtkLwKSRmSd0z3aDL0VR\nbMCzQGPw0CPA7aqqrlAU5RngEkVR1gA3AbMAJ7BKUZRPgBuA7aqq/kZRlCuB24GfAM8A3wAOAO8r\nijJdVdUtJ/RNhBDiJPbBwU+MbbfPTXFDKYX1RUzKGm+8sei0OvnlqTfhD/ixmC0AfG30BczIncrw\n1CEAETle2Qkn9gtEiJPBL59Zgz+gsW5XccTxvMxE7rhmFubgatmLZw5h0YzBNLh9JDlP7EWVWEa+\nHkYPlm4L7s8EQmNyHwLnAn5gtaqqbsCtKEo+MAU4E3gorO0diqKkAg5VVfcDKIryMXA2IMGXEEIE\naZqGJ+DlxR2vkZcYmdSbX32IEcHFsIenDm1xbijwCm23tnC2FFgVAvyByLxIi9nEA9fPJS3ZbgRe\nISaT6YQDL2gn+FIU5RqgVFXVjxVFCQVfJlVVQz2tBdKAVKA67NRox8OP1TRrO6q9jmZkJGK1Wtpr\nFlc5OZ17hVS0JM8yPuQ5xk9vf5bv7P6Y17e9A8CO8t0AZCakU9FYxd7KfCrd+uvuQ7MHdPi7nDn8\nNFYdXs/YwYOxW0+8zldvf5Z9hTzH+In1WRaU1jFhRCa7D1Vw1w/nUFXrYsb4PDJTnV3av/ZGvr4P\naIqinA1MA15Bz98KSQGq0IOplHaOt9e2TZWVDe01iaucnBRKS1sWKhQdJ88yPuQ5xk9feJahwCtc\npiODikb9P5elDXrwNco5usPf5cpR3+DKUd+gutINuE+on33hWfYF8hzjJ9ZnufdoFQ+8pudSOmwW\nhmcnMjw7Eb/bS2mpNy79aE2b70iqqjpfVdUFqqouBL4Cvgt8qCjKwmCTJcBKYD0wT1EUp6IoacAE\n9GT81cAF4W1VVa0BPIqijFYUxQScF7yGEEL0O/6A31hnMcTlix4QZTozuOf024z96TmTSbIldvie\nJpMJU7PpFCH6k+LKBiPwAvjGgnYn4OKqMwUqbgGWBZPs7cBbqqoWAX9ED6KWA79WVdUFPA2coijK\nKuA6IPRW44+A19CDti2qqq47sa8hhBB90zv7P+DnK39DtbspGyO/6gAA8wbPZcGQM4zjybYkMp0Z\nfG20/m/aBUNO797OCnGSeOh1Pc188YwhPPuzhZw9q2XuZFeKuc5XcPQrZEGUz58Dnmt2rAG4LErb\ntcCcmHsphBAnqeVH9YF/tTKf0wbMAOD1PW8BMC1nEmplvtF2QqZe6HHxsPmcNmAmaQ7JERKio7w+\nP5W1+ujy5YtGY7N2f715qXAvhBA9pKyxaY24muBi2C6fy1gYe3TaCFLs+huJeYm5TMxSAL1cRF8M\nvA4X1eIPRF/uSIjuUlmnLxt0xqQB2Lr5Rb4QqXAvhBA95K41Dxjb/8x/nxRbMj5NXzrogpHnYLPY\nWDD4dDx+D3MHntZT3YyLrfllPPbWNs49dShXLh4b83kBTePZf+1kwvAMFk4fbByvrHXz98/yueiM\nEQzMSor5eo1uHzarGatFxh76o4Cm8cCrmwAYmB37z028yU+fEEL0gND6jOFe2f0mK46uxoSJMwbp\nwZbFbOH8EYv75EhXuF2HKgH4z4ajHTrvWEkdG/aU8MrHasTxt1bsZ+2uYn793DreXL4vpmu5vX6W\n/uELnvrnjg71QZw8dh6soCo48jV/as+t8CDBlxBC9IDy4JTj1OxTIo4X1heRlZBJuiOtJ7rVZepd\n+qv79g7m1+w7Vh31uNfnN7Y/Xn+UBlf7pQEOHddfavgqv6xDfRAnjy17SwH97cbkhBMvltpZEnwJ\nIUQ3O1B9mLvXPQxAXlIuF406n7HpTa+6d6Z8RG9XVKHXavT4AkaycyzUoy3LQJZUNbJRLY04duOj\nK/H5284nay2QE/3H0dI6TMA53fx2Y3MSfAkhRDfbWto07ZVqT+H8EYtYOu2HxlJBo1KH91TXuoSm\naRwMW7D4lidXU1HjauOMpvP2HK409g8GR64e+etXUduv3Ha8zRGw5osmi/4l/1g1+wtqUIalY7f1\nTKJ9iARfQgjRzb4q2W5sD0keCIDNbOWmadfy7QmXc/Ho83uqa13i868K0Zod27KvjEBA47l3d7F+\nd3HU8+pdPuoam4Kpe17eyJqdRZRUNQLw6E1n8p1zx3HtRRMB+MvHKrc+uxavL8Cx0jqKKyJXRikK\n25e3Lvuf3wYT7c87Lfpap91J3nYUQohu5Av4KHPp+V7XTPxfxoRNNzqtTuYOnNVTXesSPn+AlduO\nA5DktFLv0l802Hu0CmVoOmt2FrFmZxHjhqaTnuzgaEkdFTUulGHpfLb5WIvrPffuLgAmjcokNdHO\nWTOG4PI0vbxQ1+jl+odXGPsv/PIsTCYTgYBGaTBoA/B4AyQ4ZPyhP5o0KrOnuyDBlxBCt6n4K1Ls\nKYzLGN3TXTmp7avUq9enO9I4dcD0Hu5N1/tw7WEOHq9hwvAMbrlyGpU1bn7+9Jds2FNCSWVTMHTP\nyxu56RtTWPbShpiuO3lUlrHttFv53gXj+fMHe1q0e/69XVxy5kjMZhP+QNP4m9cXIMFxAl9M9DlW\ni5mhuclYzD0fdEvwJYSg2l3LiztfB+DJRQ91+HxN0zhYc5gRqcMwm3r+P2y92daynQBcPfHKHu5J\n99h+oAKzycSPvz4Js8lEalLTG2aHi5sWP66sdbcaeA3KTqKwrD7iWKIj8tfXvCmDGJCZyAdrDrN1\nf7lxfM3OYtbsLGb62OyI9l6fTDv2J5qm4fcHsFp6x5qm8l9JIQTlrqZK63Xe+jZaRvdl4Xp+v+kp\nPjr0aTy7dVI6UnsMq8nC6LQRPd2VblFd7yY1yUaSUw+6bFYLt141o0PXyEiJHKJKcFgZOzS9Rbux\nQ9L5yWVTeeKn87nnh7MjPtuyTy8v4QgmWh+v6PjPuei7/AENDXpNcd3e0QshRI9y+ZrePDtUfaTD\n5++u1Itcri5cH7c+nYyK6ks4WltAZkIGFnPPvm3VXWoavKQk2iOOjWsWOA3LS47Y/+llU7hmyXhA\nXwLmykVjGJCpl9+YOjqLx386j9z0hFbvmei0MiirqVyHw970rC8/S59W/2qf1PrqT/x+fcq5twRf\nMu0ohKAxLPgqqDvOpOwJHTrfjD6Ur2kyldPcvsr91HjqmJk3lb/v/RcBLcAZg2a3f+JJwOP14/b4\nSUlsu5jlkeI6Y3vOKXlMGZ2NpmmkJdmZOCITm9XMb6+bgz8QwGQyYTa1P3VkMpm48dLJVNW5+eun\n+uLks5Qc5k8bxJvL81m+uYD5UwcxLK9vrxwgYuMN1oCTaUchRK/h8jcFX7XeujZatuQP+NlUshUA\nX8DfTuv+JaAFeHTLs7y48zVKG8pRK/MZnDyQs4ct6OmudYvaBr1MRGqzka9wVy4ey/cuGB9sZ+O6\ni/SK/yaTialjsrGFVcS3mM0xBV4hM8blsGjGEKP46oiBqVjMZtKT9WnM3/w5tuT+WGmaxjsrD7D9\nQHn7jUW38hvBV+8Ie2TkSwiBx99US+mzo6v45tiLYz63pLFp+qbe10Cjz0WC1RnX/vVFxQ2l3L32\nd8b+b9Y+CMCcATN7qkvdrrZRX0MvOcrIl8Nmwe31c+r4XDJSHEwdk42ziwtf2oK/eJdeOpm7XtSn\nyL0+PzZrfO5bWevm36sPAfDirYvick1x4nYdquDhYGHeRk/LNVV7Qu8IAYUQPar5Is/13oZWWrZU\nWHc8Yr+0QXJpANYURh9VsZr7z7952xr5uu/a2fzyW9ONZPrURHuXVx3XND3vZ2huMmdNHwxAQVn8\nEu93Hmp6cWXtrqK4XVecmK35TSORjjgF2idKgi8hhDFdOCAxF4AKV8v19FpTUKf/kjkla3zw3Mq2\nmvcboYA2NzGyxEF/qaPm9vj5xxd6TbNoOV+ZqU6UYRnd2qewMl9Gkv+R4jqKKxtOuOJ9QWldRJ2x\nlz9UIxb/Ft2rweVjf0E1j/19K59sPArApfNHcfmiMT3cM50EX0IIfJoeKKQ70gBo6MjIV70+8hUK\nKtYVbWZH2e4497DvCQWht8xYyqy8aczIncLD8+9mQFJeD/csNl6fn417Sjq0CHZIdb2Hp97ZweEi\nvY5XWlLPVjP9zrnjAD3hPiSUaP/OygPc9uxa3vvycKevX13v4a+f7jP2p4zOwu31U1Hj5rl3d7Jm\nRxGaprHrUEVElX3Rdf7wt6+47y+bjJpvGSkOlswZRk4bb8l2p/4z/i2EaJU3EJwecui/kOp9sQdf\nBXVFpNiTyUvUf7FtK9vJtrKdPLnoITRNo8HXSJItsZ2rnHzKXZXYzTaSbIl875Rv9XR3OuxHv/8c\nTYOBWYncd+2cDp178+OrIvYnjujeEa7mzpoxhLNmDIk4NiQnCbPJRFWdnpe2blcxl5w5slPXf+If\n29hfoC/aPWV0FmlJ+jTr8s0FRpHXt7/YT0WNHsg+8KO5bZbK6M/8gQBrdxYzY1wOCY7OhSg79pex\nP7iIek66k2uWTGDkwJReUdk+RIIvIU5i5Y2VvKG+zZXKpWQntL6e2adHvgAgy6m3iXXqMKAFqHJX\nMyJ1KCn2yFpNjT4XK46u5r2DH3PLzKWMShveyW/RN5W7KslMyMTUgbfzeosGl5dgehTHyxvQNK3T\n3+P3S8/o8lyuzrBZLWSnOY1FulMSbTS4vCQ62y6LEc3BwqZK/YtnDjHedjxW2vTmcCjwAn3JpavP\nH9/Zrp90NE3j6Xd24PNrlFY3UlBaz9GSOq5cPDbmawQ0jfJqFymJNt5aro9Cfuc8hXlTBvaaNxzD\nSfAlxEnszztf52DNYf69/0O+P+mqiM/8AT+v7XmLU7IU49iQ5IEAFNeXxHT9em8DAS1Aqj2FIcmD\nSHekUeWuBmD5kS/44NB/AdhVvqfbg6+CuuPYzDYj5+pN9R3cfjffnXhFl9+7zlNPo6+R0X004Nxz\nJFwNC74AACAASURBVDLnr66xZaHU1oTnTv3me6e2qE7fmzgdTUHhvmPV3PrsWh780dwWIy4VNS6s\nFjOpSdGfQUaKg/IavVyLw2bBGSzq2nxJpJCaek88un/S2H24ko1qacSx2obYn9Fnm4/xl//sBSAv\nM5EGl4/c9ATjpYreqPeFg0KIuAnlY20q2RpRTgLgWF0h64o2GWs6AmQ40zGbzBQ1RP6HsDU1Hv1f\n/Cn2FKxmK3fO+TmLh84HMAIvgARr906x5Fcd5Lfr/8CytQ/xyq430TSNdUUbWVe0iaO1hV1+/9Bz\nH5I8qMvv1RVWbCkAYPSgVICIfKb2eLxNwVdvL2DavLRFXaOX/QXVEcdqGjz87Kkvefwf21q9TkZq\nU4Bpt5nJStVLrVQHg6xnblnA6MGpRpst+8pOOMG/L9I0jeKKBuOt05AdBypatHXYYxsb2rKv1Ai8\nAIorGqht8DAgq3enOkjwJcRJzO1v+tfj//v8draX7QL06cKHNj7eov2g5IFkOzMpri/RF6IN+Hni\nq+dZVbC2RVtfwMe7Bz4GIDU45eiw2DlzcMvq7d0ffB0wttcVbaKg7rjxLB7Y8Cjbirr2hYBQoOvs\ng/XOiisb2HFQ/2V4xmR9JHTNzmLKYkwU9wQXrJ41PrdrOhhH+45VtzhWWu2KbHNUHwXcX1DDDb//\nnCNhi4EbwmIJu9XC9HFNif1mkwmb1dwi0bumPvIfQ/3B5r1l3PantXyw9rARgGmaxka1hASHhSdv\nnm+s+xnL6GCj28fjb28HYNKoTL42rylnb1GzHL/eRoIvIU5SHn/kf7w0NFYXrgP0AqDN3XrqT7GZ\nreQkZlPva8Dld1HhqmJ3xV7eUP/Rov2ftr9iBHMp9qYRjtzEHK6ffHVEW7/Wfa/cB7QAa49vjDh2\n/4ZHI/bv/fyPAOwo281f1X9ysPoIB6s7/7Zbc77g9+2L6zc++Y8dxvaQ3KY8vif+uZ1A8BdmvcvL\n1vwy6hpbBhAer/7dHdbe/+tFi3KsoiYy+Pp4w1Fj2+31R62KXx52jtlsIjXRbixjEwjmy31zwWiG\nhj3PRnfvKPbZnfYX6sHu258f4KbHVnKkuJbC8gbKql2cMiJTXzB9SBpJTitHS6IEuc18/pU+ij0s\nL5n/d/k0Lj5jJL9fegb/fvhipozO6tLvcqJ6/98OIUSnRCuU6vbpAdnhmqMtPgu9rZgYHKVq9LmM\ntyABCusii0buLG+qaTQxc1zEZ1NyTuGaif9rVLpvXsS1K20p2U5po57wfM6wha22c/s9PL3tz6ws\nWMPDm57g4U1PtpgO6Sx/sG6a1dS3gq/j5fVGkvglZ45k9KBUI2/mSHEdK7fqv+ze/DSfx97axh/f\nbjkVd7xc/7nrjUn2zf3me6fyP3Mj8/Jq6j2s2VFEebWLukYv+VFGx8LLb5RXu4z9JXOGkZeh//3x\n+SN/ljJTnSz7/mksmTMMgIZ+GHyFF9utd/n4zZ83sCwYzE4ZredmmkwmRgxIobTKxftrDrV6rao6\nN3/7TF+zM3yUKyPF0SdecpHgS4g+7HDNUUpayc9q8OnTROGLOGvBf+uHgq+fz7qRUWnDOX3gqdgt\n+ltedov+H8jj9cURC27/+8CHgB5YPLLpKeP4srm/JCvKm5SnDpjONRP/F4D/Hvm8c1+wE8Ir7s8b\nPIeZuVON/VB/AMoaW66/99KuN+LSh9BIn6WPBV+hGlSjBqVy8RkjMJlMfPvcpsB69+FKvv/AclZt\n15/x8WYJ5fnHqnn07/o6n25v7y8wOiwvha/NG8nArETOnKJPsa7cdpzn3tvFz5/+km379dUakpyR\n+UfqkUo0TcPnD3A0GKxOGZ3FZQvHtPjFP2lk5N+NUM2zLftiy6uMh3j9o+JEuaIs7ePzBzCbTMye\n2DRNfc6peoD65Y7WVwkoqWyaBh+UnRTHXnYPCb6E6KM0TeOhjY+zbO3v2FuZ3yLA2Visr2WWYk/m\nB5O+DYDLr/8L/XDNMSwmC4OTB/H/2bvv+Laqs4Hjv6vpLe+dxM462XsRMtlhzxYKlPWy3jBLCy2j\nC1paaKHM0rLfAqWUTVhhhEySkL1v4iROYieO7Xhva7x/XFm24u0otuU838+HD75XV9LRiSw9Puc5\nz7ln4nyuHH6Z734/5K0D4PmNr1DtbPyA21y4nfnf3st7WZ+wuzQbgEuHnE98aOvD+ybN+IgpqS3F\n7emeBONDlYcBuGzoBcSFxvrV2Oofmca8jFMB+O/Oj5rdt6HPwFit+fDKv/DJ7i9afB6Px8Mne75k\n6xG92RRvw8iXKcimHQu9+U6nTUr3BRFNg4nV2/1XwVbWOPly5T4eenkVhaXVbNzduLVUsEyrmU0m\n/nDjNH56pmp220sLjNzAOePTePm+udz3k/EAZOeV868vdW56/DueftcY/Zt8VI6b2WT02/yLR/ud\nnzE6mZhIO5+v3O+bxj2etmUXcetfF7Nk4/FfaNKemjrj9+Lo0cZ50/r77a85ZlAc8Y4QX5kTMIK0\nlz/dxm1PLmHl1jxKKozPstMn9WNwmqObXkHgSKkJIYJU0ynBp9b/E4DpKZMJs4axqWArC/ctAoza\nXRMSx/C+PZqKOmOk4lBlHsnhiVhb2GfwlH4z+WLft9hMVl+w1tTinBW+n2enT2+zjcNih6Ch4cHD\n7pK9DOmGrXWKakuwmazMST8ZMIKHIdEDySrZS0JYvC8JfleTpPwGcSFGMdAj1UW8l7UAgGUHV3He\noLOaXXukpogvsr8BjCDzx0MvZEaaUYy0YeQr2KYdG4KveId/cvjvb5jCr19e7XfObjNTW+fi2f8a\nAeuaHQV+OWC9ZLClw8wmDY2W88A0TUPTNKIjjFGrZZsONZs2PHr05Q83TaO2zoX9qOnXsBCrr4zC\n0o0HmT3u+JRD2HmghD+9uc53/PWaA8wa27OrbxuCr+mjkrl41kC++uEAqn8MA5Kbr4o1e2tz3ffC\n91w6x/jcWL7ZGAn75yfbfPcZNbD1+oW9mYx8CRGkqpzNV5/VuGpxe9z8Y/PrvnP9I40P9+TwRIpr\nSyipLaXOXU+UreUyAOcMPAOA+NA437TjBYPmNSubcM2Iy30jW60xaSbmj70BgI2FWzv4yo5NRV0l\nEUcVfL1t3P/wxOyHMWkmBjoymt3n7IzTcNgifa9nb9l+3201zhrfqJ3H4+Grfd+hF2X55c25PW6/\noDRYE+4bgy//VZrpCRFEhDYWH33kf6Y2q6H0zqIsjjRZKdhbpro6StM0LK0sEvAOYhHirf91dOCV\nFh9OZkqU37nE6FC/BPumGvLBvlzdPPcyEDwej1/gBeBy9/y/R8O0Y4jNgqZpnDGlf4uBF8BJI41t\nuApLa3jho618vDzb7/aGravSE1ru495Ogi8hglRVffPgq9ZV56u91SDFu5dgQ/D08Mq/ADSrSN/A\npJnoF5lGflWBb/QsJTyJX025y++6jKh+HWrnoOgMABYdWBaQL+RaVx2rDq1tcRrT4/FQUV9BhNV/\nFMJisvhy2QY6BvD2Zc/5bjspZTLnDDwDs8ni22B8e1Fj3SCnx0VZXTl5lYf5+6ZX+XD3Z/x906t+\n9dEa2tWgIe8sWHK+1u8q4OHX17BmRz5mk9ZiMdGGUR+AsBALGS18aTaUqAD/TayDRWuV0Kd7S26E\n2Zv/e/ZPiuD+qyd26nluOGc4wHFbkfffRbubneuOWNjt8bAvr5zbnlzCgy+tIq/If9FPrXfkq6EI\nbVuGD/DfkupgYSU2q4nn7p7ldz46omPFf3sbCb6ECFItrSCsdtb4rXJ8du6ffaMvDdXrG6YSjw5Q\nmhoQmY7T4/JtMxRiNkZCrhlxOVaThZ8Mu4TEsIRW799UQ9AD8H/b/8Pti35JRX3Llb874j/6B77H\nOVxVQI2zloMVeaw5vIFaVx31bicRtrYTcE0mEyelTCY1PJlzvSN9Zs2E2zti1RDATk+ZAsBbO97j\n4VV/9a3wbDrl++TsR+gfmcaRmiLmf3sv+VUFLD9oTNF1Z4mNrnJ7PDzz3mb2HjL2wuuXGIGphdVi\nTfdnDLNbGDs43pfX1JJxg3v3Uv+WWM3NX8/fbp/h24exaXB22qR0rjhtCL+9bkqn9yBsyFFa+MMB\nHnppFbc9uYQ9uc1XVXbVF6v3Nzt3uKiqxdIggfTPj7fyu9d+oKrWycHCSu7/50ryS6rxeDws2XiQ\nnALj9/7oqdiWJMY0L5J6+SlDCLVbGJxu9N+EoQlBsbKxJZLzJUSQctN85Of7g415OfMyTvX7YDo6\n36q1kS+ADMcAlnlrggEMiDKWck9JnsCU5Amdbuu05EmszFvDam8yf1bJXsYljOr04wDsaDIq9fuV\nj5MWkUJeZT4uj4tbx1wHQKS1/amIq4Zf5rdnoVkz4/K4cXvc7Cs7QLTdQYajHysOrfYrq9HUj4de\niM1sY0z8SPaXG1Xh/77pVd/tDVst9WbrdzYmyYfZLfxo7uAWr5s+KpmF3ppXVosJTdNIiQvzfaE2\nmDEmhbOm9Cell1cYb8nR047RETa/UUBN0/jDjVMJsVmOaduk8CZTuLneFaOvLtjKHUcl53fVsP7R\n7Nhfwsmjk9l7qJzYSDtb9hah7y9mojo+xW+3ZRf5FmTYrWbfatfv1uXyzboc6r3Fd21WE6Y2gvYG\njnAbV50xlDeaVK9vmA6//6qJHC6q8uvHYCMjX0IEqabTbpOSxgHGlkErDhl1cxo2yW7gsEdxfZOV\nf20FKAOj+vt+vnvCrX6jV10xOn6433FBVWErV7at3u2k9Khp1dyKQ74RpobAJyYkukOP1zQ4NZvM\nON0ussv2U1lfxcg4hYrx39j30RkP8RN1CXazjWtGXM4s74KD8YljfNfkN3ltY+NHduLV9YznPjAq\nhN943gievXsWw46a7mmQltA4mtjQby3l24zIiCE1PjwoRySajmyZTRrXnT282TUpceHHvF9lWAsj\nZe4AzNNW1zr5bOU+ispqCbGZueGcETzyP1M5d3oGAM99sKXtBzgGyzYZU+3xjhDuu3I8T95mLHj5\nYvV+X+AFEN6JjctPmZDOyaOTfcdNNz1Pig3zy0MMNhJ8CRGkGpapz8s4lcuGXADgG32ZlDSOqSnN\n81BU7BActigsmplB0ZnNbm+QFN7413FCaPwxt7V/lP9WH7lNanF1RnZp8+mUljSsdOwMY+TLxa5i\nYxXkiFhFfGgsVw5rLMMRZYvk5LSp/GXW7/1GAJPDE7lkyHm+42i7g+dOeazF+me9idPV+KU4emDb\n04Rmkwmb1URsk30M473TcU3PDR/Qu19zW6ze4EsD/vmLOe32SVe1NPJj70AeVFs2ZBUy/8klvPvd\nbvJLqv0Kmg5MbVwMcDxKgOw9VMbKbUaJl0dvnkZGchSOCDvjBjf/7OhM8AVw1RmNJUB68ybtndXu\ntKNSygy8CCiMVbi3ADXAa97jLcB8XdfdSqkbgZsBJ/CIrusLlFKhwBtAIlAOXKPreoFSahrwlPfa\nhbqu/y7QL06IvqwhP0nTTIRZQzFpJt9o2Kn9Z7W4EjHCGs5vTrqX8roK4tsJDB6f+VtK68px2I99\nc+TYEP/RlMNV+a1c2bZs7yrE2enTWZyzAqvJ6su/GujIYE9pNpOTxrc5pdqahuBrcc5ywAioACYm\njWV9wSZmpZ3ku7alvj2l30wSQ+NZdnAV52Se3unn7wlvfWVM6UwbmdShUYRn7pxF0wGt2WNTKSit\nYdboZD5fZfzbOFpI1g8WDQGQ2awd95G7ycMSqa5zcsclY7jp8e/4YdthBqdEcfrkji1kOdobC3W/\n46ZTqBaziXNOGsCn3+/j31/v4vpzmo/oHYuHX2/czstsanze2y4ZzcOvrSHEZmb3wVKcLg8RoZ3L\ndmqaH+YI0uT6lnSkF84D0HX9ZKXUHOAPGH8YPKjr+ndKqReAC5RS3wN3AJOAEGCZUuor4FZgs67r\nv1VKXQ48CNwJvABcAuwBPlVKjdd1fX1gX54QfZfLG2iZMGHSTETZIimpLSU1PJn+ka1vKms327B3\nYEQmzBpGmDVweTu3jfsfFmYvYndptt/KwAYejwcPnjbLVzQEX6f1n82Phl7IwYo8/rD6Ca4adhlT\nUyay5vAGxiV0LW/GYjLj9rip8C5YiPMWj7Wbbb5yGe0ZFT+cUfGB/WI7Xsqq6vjOuzfe0WUSWmM9\nKicqzhHCg9dPpaCgnOEZwTvi1SA9IYI9B8uabQ10PNx6YWPO48ShCazdWcD6XQVdDr5qao0/xq6d\nN4wPluxptpLynJMGsGn3EZZtPsR5J2c02+i7q3LyK3w/Hx0cmTSN31w3GYDr//QtACldqEb/p1tO\noqbW2eJCkGDV7rSjrusfAjd5DwcAJcBEoKGc9ufAacAUYLmu67W6rpcCWcAYYAbwRdNrlVJRgF3X\n9d26rnuAL72PIYTooIZpR7M3WIn0rl7srSvshscO5c4JNxNtj6LO1XzV1Xu7PuHnS37tV1W/KY/H\nw97S/ThskcTYjZyu1IhknjvlMU5KnYxJMzEleYJvm6TOaigL4fK4mJQ0rsUCtL1dUVmNb0uc9jTU\n5JoxOoXTJ3XtC7+vaTo9153mXzyaULuFqprOTwm63cY2R9W1ToamO5g1NpUnbju52cKJEJuFSd4q\n/A37bwbCDzsaR7HvunRsG1caVL+O5WM2lRgdSv+kYx+B70069Omi67pTKfU6cBFwKXC6N2gCYyrR\nAUQBTZf2tHS+6bmyo64d2FYbYmLCsFi6t2ZOQkLf+sfuSdKXgdG0HyPrjfyHyMgQEhIiOXXIyby2\n/r+YzaZe3d+hthBKa8r82lhVX82inGUA1Nmq6B/XfEXWgdKDlNaVMS19AomJx/4leXQfpcYksqN4\nFwBDkzJ6dR+2JO9IJT9/3ij0+q/fnkW0Nz9m2cZczCaNk0b7F8ndechYuDBkQMwxv9Zg66vWTByZ\nwmuf78DSA79DEWFWaupdnXreFZsO8tc313LNuSPwAMkJEW3ePzbaGMkOC7cH7PVVemt3vfDLU0nr\nQMHTaWPTiHMEZtStLb39PdnhP+10Xb9GKXUfsApo2nORGKNhZd6f2zrf3rWtKi4OXKTeEQkJkRQU\nlLd/oWiX9GVgNPSj2+Pm2wNLfSM11ZX1FBSUMzF6IoWZZYyIG9qr+9vkMVPjrPNr4/xv7/X9fLDg\nCA5380Tnb/auBGBYlDrm19fSezIjNANYTkJoHINDB/fqPjxaVU09t/1tqe84K/sIWbmlbN5zhE27\njQ3EX75vrl8e07ptxlYtCZH2Y3qtfen3O9yi8T/nDmdQqqPbX1N4iJXDRVW+5613ugCt2VRvU58s\n2U2d082LHxqrGKPDrG22u7bGmO4vKq4M2Osr8m7G7qypa/MxH75hCvkl1bjrnMe9b3vLe7KtALAj\nCfdXA+m6rj8KVAFuYI1Sao6u698B84BFwGrgD0qpEMAODMdIxl8OnO29fR6wVNf1MqVUnVJqEEbO\n15mAJNwL0QFrD2/kg6xPfcead9rRpJmYl3lqTzWrw+xmG/XuetweN9uO6H51sQAq6itxe9wcqS4m\nIcwIwvIq8/l633fYzTZGxQ87Lu2amDSWAVH9iA2JbnfbpN6kvKqOO59e5nfu7W92oR/w/3t22eZD\njMqM48vV+5k9LtW3v2B8tP9WQie66aNSeuR5w0Ot1NQ6cXs8mDSNu55ZRmSYjT/dfFKr92m6ajI8\nxMI5J2W0+RwNqzmbln44Vg0rZlvbHaBBWkJEh0bGThQdGfl6H3hVKbUEsAJ3AduBF5VSNu/P7+q6\n7lJKPQ0sxcgle0DX9Rql1N+B15VSy4A6oKHQ0C3Am4AZY7XjKoQIUnX1Lv66YBGVFfD7q049romh\nRxfuNAdRoABgNxvTYTXOGv6z88Nmt9e561iVt443tr/DiDjF/rIcX0X8q4f/iFDL8ZuyaG8FaG/0\nzPubm507OvACePWzxkKxP+zIJ82b+NzZpf/i+IgIteIB1u8sYERGLNW1LqprqzmQX9HiHpGVNfVs\nyza2c7JaTFw6Z1Cbo2TQuAKy3tU8+Fr4wwGWbDzIhTMyfblhbamudbJ1bxHl3qr5re2LKVrWbvCl\n63ol8KMWbprdwrUvYpSlaHquCrishWtXAtM63FIherH31qwhx7EQHPDRmjgumjz+uD3X0XsaakEW\nfDWUrthfnsuAyHTfFkbhljAqnVXUu51szN8AwLYj/svnu7qSsa+oqK6n3un2q3eU502e/s21k9m0\nu5APlu4FICkmlNsuHs1j/15PeZX/Aofi8lqKy2sxm7QO7bMnjr+Gau1HF0L9zSureeWXpzS7vqis\nFqfLw6yxqVxzlupQaYyGkS9nCyNfq7blcbCwkuc/3MKMMSl8vyWPP99yErFRzUdGPR4PT76zkSzv\nlkgWs9anViJ2h+D61BaiF3K7PSwvWOI7XnJoaRtXB+D5jtohN9hGviJtRvD1zIYXWV9gjNrcPeFW\nrh5h/I1X76pvddovxNJ3iix2lsfj4XevruYXz6/wTRvlFlZSUV3P2EFxDEiOJMTW+Pe02+MhLSGC\nUFvrf2P3T4oIykr0fVFHt8qprnXidLmpqTNWRkaGWTv8b9gwNdjSyFd+ceMq42WbDuFye1i+ueVi\nyF+uPuALvMC/tpfoGOkxIY5RTlERnogCwpwJWJwR1IYdpOY4VJFuUOOq8TtuaYPt3uy0/rP8jq0m\nC4OjM7GajC+fenc9VUeVm0gNT+ZydVG3tbE32pVTypGyWtweD2t0Y3n/Fyv3ATBrrLGSMc7ROEpR\nXG5soN7wvTy0XzRXnj7Ub0ppRB+ozdVXtFbkNq7J7gGVNfXMf3IJ//hoK7XeVYadGblsmJY8euSr\norqeyhpns8f6YOle34brTS3eaNSHa9i/s2EfR9FxEnwJ0QVFZTXUO128tGg5f1zyCgCx1iQszkg0\nk5vfftQ8l6kzDlbk8c9Nr1NWV05pbTlPrfsHe4uNTY0Lq4v8ri2sKWrpIXqtUEso473Th8Njh/KL\nSbcD+Opzfbr3K/aX5xBiDmFayiRmpE7lgak/Y2Za64nHfVlNnTHS8ac31/nOFZZUU1JRy8pth0mK\nCWXsEGMbl3FD4rn81CFMUgncdrGx3+T8i0aj+kVz6wUjOXViOrde0LjfpOrf+ZpL4vhoLV/rSFkt\nT7+7idLKOvKKjCnmtTsLeOKdjYB/Bfj2NFxbc1SwVOBdsThpWCKOCBuzxqb46nE1rV4PsFYv4LC3\nHVec6r/3qei44KsiKEQPyysu53ffvoirOhRr6l7M3u+v+NBYDtUaAVJ5/GrW7ZrJhCFJXXqOj/d8\nzubC7dRvd/rynp5Y8SIPTr7HG5jYCbGEUFJbSlV9y0VJe7NrRl7BmPyRjE8YjdUbdB09nVrjquHq\n4S2lm54YCkuqWbElj89W7WN4f//tmRryulxuD9NGJvvybUyaxhmT+3FGkyrp6YkR3Hdl4z6UTaeo\nEgNU5Vwcu7amDjdkFeJcsI2TRiU3u63paGd7QkOMr/zqWv/g64C3Sv2ApEiunTcMk6aRU1DBr19e\nDcBdzyzj7svGsudgKW99vct3v+EZxvvSJsn2nSbBlxCdsG1fIc9sfRZTTBUm/+9DUiPj2V5ipeFj\n7aXsJ3k4+dfERXZ+ix6HzSgi2jThPMwSwgdZn1JUU0ykNYL5Y2/gzR3vcnZm8G0OYTVZ/DamBkgI\n9a/tFWI+sUsgPP72egpKjCnmjd5aXWnx4eQWGis/GwKwwWmOTj/2LReMZFt2sW9jbNHzzjk5k7Ly\nGk6dkEZFjZO/vbPRN9IFsGVvEaWV/ttyXXn6UMa2sHl1a8Lsxlf+0o0HGT0wlvFDEvB4PHyzNgdN\ng9GD4nyBfHpCBIPTHGTlllJWWcfvXvvB9zjnTc/gollGXfTHb53e4kbhom0SrgrRCc9u/xumkJYL\n/vaPSSI1snGkSzO72Zizp2tP1MJfwS5vcVUwamGlRiTzi0m3Ndu0Olg57FGMiW+cErt7wi092Jru\nc7i4ipXb8vA0Gfkrr6rzBV5N9U+K5IIZmb7jIekORmZ2Pm9ryvAk3wiH6B1C7RbOm55BWIiVxOhQ\n/nhT82IAB/Ir/DYunzI8sVP/hmHekS+X28Mz723G4/GwYkueUc4iIaLZSOioVt5b05uMwMU5QvxW\n34qOkeBLiA5yud1otsa/PCNNMfzvqBt9x5nxScyf6j9NVlBZ3OnncbqdrM/f5DvuH5lGfEgs+0tz\nfefu6qOByaDoDN/PCWEd/4s+mP3l3+v558fb2NmkNte/vjRGPOdN7c+MMY1FP1Pjw7hgRiY3nTeC\nxOhQfnrW8Sk4K3qvlLgw7rpsLJfMHkhkmK39OzRht5qxN0mq/3DpXl7+dDsAA1sYQT1/RiZ3XDLG\nd5yZEsUDV08kKbbzo/nCn0w7CtFB23IP+n6+ZujVTEk3ksZ/NfluCquPEGEzPpCemP0I9y7+PU7q\nKKgqZsHarRRVVPHT2ZM79DxPrnuByvrG0bXR8SPYV5bjS6y/Z+J8BjoGBOpl9SrpEY37D9rNnfti\nCUb6/mKOlBmrEvfllaP6x1BRXc+GLGOa8Ywp/Vm5Nc93/UzvqsZpI5OZNrJ5/o/oW2Kj7BSV1fLA\n1RNZv6uQzXuOcMVpQ+mXGMGYQc234OqIMyf34+Pl2QB8siLbd/5Hcwe1eP2A5MYtcoakOxjUhWlu\n0ZwEX0J00MZDWQBk2kf4Ai+A9MgU0iMbRyfsZhu3jLqRZ7c8x66ifWx3Glu/nFsxktiItv9iLKg6\nQnbZfr9zo+NH+gVjfTXwAkiL6JmtXXqCx+Phz2+t9x2//W0WP+j5ZCRF4XS5OeekATjCbZwyIZ2K\n6nrmjk8jqpMjHSK4/f76KbjcHiLDbAxKc3DpnJYDpM64cOZApo5I4oEXGzeVOXViul+NuKaaTik2\nnfIUx0amHUXQ8Xg87DxQ4lfkrzsUVBmjESNiRrR7rUroh8dlxhl1wHdu26H9bdzD8OzGl/yOd2Ou\n9QAAIABJREFU/3jyg/SLTCU+tGt/5QabSFsEN4y6il9Nvqunm3JcuT0eNnpHt5ranVvGN+tyiAi1\n+nK7rBYTl8we1GKlcdG3hYVYOz212BEpceE8/7PGensDU6LavP6+n4ynf2IEU0d0bfW2aE5GvkTQ\neX7hUra4vkVzW3gq6VdYLcd/exSPx4NetBtzNKRHt5+LZNJMWDUbThrLQLyZ9RapUXcxMKn1BOnC\n6sYv5Pljb8BhNz4UG/5/IpiQOKb9i4Lcxl2Fvj0Zz52eQXWNkx0HisktMFYyJsaEtrtRsRDHoulI\nV6p3n8/WqP4x/Pb6Kce7SScU+e0WQaWgtJJt1gWYQqrQwsrQD+W1f6dj5HZ7WLR1J+boQgCGJaZ3\n6H73Tr3V79hkr+HdLV+1eZ+GvQsvGXIeI+KU73xquPEXZ9NzIni9t6RxFWxqXBhXnjGU310/hbOn\nDcBmNXHu9Iyea5w4YcwYncLIjBjSE9sOvkTgyciXCBpuj4clu7b7nftsx/eM6nfpcXtOl9vNQx++\nQ2m0UV18ZNQYbJaOTQOkRSYTpcVT5in0nWstr6JBhNXICRsZ6x9kJYcn8cS8X6NVSc5FsKuqqeeg\nt1bXJJXA+KEJgFEg9dI5gwKS1yNER1x/zvCebsIJS0a+RNB44eslfFv2DgBWj1GPptB5sK27dJjT\n5ea9FVs4WFTOl+t1VmzPBuCT9Rt8gVeUlsAtE3/Sqcd9ZPY9XNrvSt/x9uIdbV5f792n0WJqvs9b\nelQKthNgBWBft3iD8Z4d2i+a/71odKe2hxFC9A0y8iWCQkFJNVvNn/qOLxxwEe/se4tKew7/+HoZ\n+0pzmDVoLGeN6/xfcvVON7e9+yyWxBwWf6VwJeh43Boq7Td8Vfo2AIMjh3LjuCswaZ37e8VsMhNq\naUyUNkWU4vF4Wt1KpN5dD4DVLL+afdUavQCzSeOOS0a3f7EQok+SkS/R663OyuahxU/6nZuQPhjN\nZYwObTJ9TGnMOj4petWvSnhH/bB3N5bEHABcCUZxS83k4bFv3vVdc+v4q4mwdi0vYmiyfz2mPYeb\nr3Jr0DDyZTVJ8NVXFJXV+LYEWrh6P3sPldE/KYKwkOajm0KIE4MEX6LX+2L3EsyRJX7nokIiMHma\nb2lx4EjnK8pvytvV4vkKxxYAwoklxNL17TNiQx38acavGR0xFYDHl73OvvyWy2TUuowK+tYWph1F\n8CmtqOXnz6/goZdWcbioire/zcJi1rhunuTaCHEik+BL9GqlFbUcrPRf0Tgt1qhPY6f5SNS6nKwO\nP3bDKFl2uVF/a0TEeDSPifsm3I3Z1bjH2dS4kzvd7qNF2iK4dsI5mF2hmGMP88aGBX63V9c6eW/N\nanYWZxFhDcciI19Bb8ueI9z97HLf8a/+uRKAi2YNJD0xoqeaJYToBeQTXvRqv/v8LcxxxmrBef3O\n4uzBc3x5V+HmSKo57Hf9F9nfMG/kxHaTmP/25UL2leVyy/TzKDMfwOSycevkHwM/xqSZsLkcVJuN\nGl3TMgNT3iHEEsLlQy/hzd1vkFOTTVFZja9w5pNffUpumPFFHeru/EbJovfZtLvl6eWUOFnWL8SJ\nTka+RK9WG2eUluhnVZw75BS/hHeHrfkeY+aoYr7Yss7vnNPl5s0la9l7qJRHP1nAVxt2ssv6NXVx\n23lq+1/QrPWMiBiPSTP5Hr/ebUz/2eqjSYtKDNjrGZ4wEDAS759Y/F/f+YbAC6By+9iAPZ/oOfkl\nRvD+6E3TGD4ghvSEcG48dwRju7gnnxCi75CRL9GrmescuGyl3D7tima3nTZ0PLu3rW12PqfyEC63\nG7PJhMfj4ZttW1nh/A/LNoRgCq8hp2iJ71rN5AZgdKL/6JbbUgNApCmwo1BRIY3TmaU2o9BmXb0L\nj9uEZnLj3jeWkjIXbrcHk6nlFZGi69paaRpouQUVOCJsJMWG8YsrxnfrcwshejcZ+RK9mhsnOO2E\nW5tvSD0meSjT42b7jkNqjVWF2+qWcc/7L+F0ufndJ+/yUd5bgFFhvjVJETF+x6NjjDIA0/oHthyA\n2WRmSNhIoz1uo2bXd9t2oZncxLkzURGjcLk91Na7Avq8Jxqny80z723ira93crjY2JT82fc38/i/\n1+N2d35FbGeVVtZxpKyWfgmNuV0SeAkhGkjwJXo1t6kOs7v1wqKXjTrd97NLq/P9XB+bxVdbtlIQ\n8QOauXkgM8oxjp+Pv8N33C/Wf7/GGyZeyINT72He0OnH0vwW3TXtGnDacWn1FJZX8tGRVwAYHJOJ\nzeKd9nS6A/68J5JV2w6zflchX6/J4fevraGqxsnGrEJ27C/h2fc3c7Cw4rg+/4HD5QAMSms+NS6E\nEDLtKHqtOqcTzPVY3K1/gdnMNhyeFEq1QySGxlOrhVLozAXg45z3MYX6X291RfC303/tO35y9iNU\nO2sJtfqXkjCbzKR491M8HkxuC26tnp35B3znZmaO4ZtDRkmNOqeMfHVVbZ2Llz9t3IaqutbJbX9r\nnGrekFXIzY9+wyu/PIXV2w+zbmcBE4YmoGkak4cFJr+vzhs8h9qker0QojkJvkSvVVBWjqaBVQtp\n87p7p9/A65s+5LqxFxMVEoHH4+Gurx7GGdo4unH10CvZWbKbcwbN9buvzWzrkS17zNhwmarJrzCC\nrRBPJJmxqdgsZUDLI1+bdxcSaTMRLsU527RyW2NpkpNGJvP91sbj2Cg7RWW1gDE1+MJHWwFYvT0f\nAMvFo317LR4Lp8v497NaZHJBCNGcfDKIXkfPKeDxzz7nte+/AyAhrO2k9+jQKO6c+lOiQoz8Gk3T\niLek+W6/IP0ypqWP5aejLiYuNKa1h+lWde46NLObL7cbCwYmRhvTm3lFRn7St+ty/ar178sr5/7n\nl/PEfzZ0f2ODjL7fCGg1DX56pmL+RY15e7deMIr0BKPUw6P/ar5Y45n3NwNGYv4Xq/bzxzfW8vnK\nfS0+j8fj4cOle9i0+wg5+RV+uWQNwbNFgi8hRAtk5Ev0Os+sfQ1PZIFx4Dbx0/Fnd/ox0sPTyKs0\ntgoaltA/kM0LCC3E2G7GlGh8sSeEGwHmDm/g8M3aHKxmEz86ZTAAud4cpb2Hyru7qUEnt7ASu9XM\n8z+bhaZpTFQJTBiawO7cUjJSIpk1NpW3vt7lKwXRVJjd+EjMK6rinUVGwd6C4mrmTRvgu6awtJow\nu5Xiilo+Xp7tO3/hjEzOn5EJNAZfVrMEX0KI5iT4Er2Ky+VuDLyASFcqiRGdL/cQExoFRnxDmiO+\n7Yt7gOYx49Ea87pSHMZrPHf6ABasMAKyL1bvp7Sylp+eNYy8ouaBwomqrt7F+l2FjB8Sj62FYrpF\nZTXEOUL8VhfecsFIPB4PZpOJcUPi+Wh5NpXV9b7bf3HFeF7+dBsm732+WpPju620so6qGiellbV8\nszaHb9flMig1isIy/9Wzizce5PTJ/Qi1W3x7Ocq0oxCiJfLJIHqVvYWFfsch5tBWrmxbfESU72ez\nqfclPf9i4u0MDR/lO+4XbRTePP/kTL/rvt96mCUbDnLQ+2UOcNg7NXmieuvrnfzj463c8tfFfLZy\nH9uyi1i9/TCvfradqpp6KmucxEb5L6CwmE1YLcb7IN4RytuPnM1ElUB4iIX7r5rI8AExWMwm6r25\nWvne8hRjvAVRb/vbEh54cRXfrjMWc+w+WEZphbG69vJThwBQXF7L/CeXsH1fMd+sNYI3p+v4l7UQ\nQgQfGfkSvcoba76GUIj0JOLW6jlv+MwuPc74foNYsC8e5Rga4BYGxoDoVK4dezH3rzA2744KMfKQ\nLGYTj940zbcPIMAnK7L97vurf67k3ivGM2xA78hf605uj4clGw/5jt/9brff7Us3GbfFRbW9SAPg\n5vNHYtI0XzFbq8VEZXU9R0pr2L6vmAFJkcwck9rqNkEAd1w6hnGD47FbTbz+hTHN/fi/1/tul0K5\nQoiWSPAleo2t+/MpCN0AbgvzJ11Fv+jkLj9WuDWUP829N4CtCzxHSAQnx8+mnyPZb4osKTaMUyak\n+UZZKrzTYxkpUWQfMlZDPvbv9bx071x25ZQwtF/0CVPAMyuntEPXTR/V/nvHclQ+VsPI14qteXg8\nMHdCGhOGxjMqM5Yte4sAePm+uZRU1LFmRz5TRiThCLd5ny+FBSuyOeJdSRlqN3PxrEFMVMe+clII\n0ffItKPocW6Phw9Wb+aZ9S8B0M+ijinwCiY/GXMOMwdMbHb+SGnzavxllXXceekYACLDrPzn2yz+\n/NZ632hPMPF4PMYKQU/npuXW7zLyAc+Y3I+YSDsxkY3Tiw1ThKdNSmdIenSn22S1mKh3uvlgibHt\n0/ABMWiaxvyLRzNleCL3XD4OTdOIibRz+uR+vsCr4b6P/+/J3HjeCMYMiuMXV4zn1InpvhwyIYRo\nSka+RI/7cN1avql4B3OkcXzFuNPbvsMJ4OTRKWzcfYR7fjyO/YfL+e93u7l63nDGZsYwemAcm/cc\n4as1RoHWnPzjW639ePjPt1ks/OEAiTGh3HjuCAalOfhi1X6+25DLb6+bTIit+UeTx+Nh/c5C7DYz\nl8wexOWnDqHe6ebDpXs4ZUI6cY4QCkurOzTl2BKr2URDLBhiMxPvMB7HbjVzywWj2rhno5NGJnPS\nyBPjDwchRNdJ8CV63MbCzeCtGzrNcQoDolN7tkG9wKRhifzj53OwWkyMzIxlzvg0+qVFU1hYQVpC\nOJv3NOYhJcU23/eyN9udW8rCH4zAMb+4msf/vZ4rTx/qK+2QW1jJoNTmuxpszS4iv6SaaSOSfKsI\nrRYTl80d7Lsm3tG1BRpg9OP2fcUAXDAj84SZyhVCdL82gy+llBV4BcgA7MAjwDbgNcADbAHm67ru\nVkrdCNwMOIFHdF1foJQKBd4AEoFy4Bpd1wuUUtOAp7zXLtR1/XfH4bWJIHCouIwCLYuGr7lLx8zp\nyeb0Kk3LFITaLb5g4Ogta8xBltT9w458v+M6p5tXP9/hOy4uq6U+0c2+vHIGpkVRW+eisqaeVz8z\nrjljSr/j0q5TJ6aTW1DBgKRIZoxJOS7PIYQQ0P7I11XAEV3Xr1ZKxQIbvP89qOv6d0qpF4ALlFLf\nA3cAk4AQYJlS6ivgVmCzruu/VUpdDjwI3Am8AFwC7AE+VUqN13V9fbNnF33eN7vWolmMhPKfT7iD\nUGvXpoxOJEevoHO5g6ucQX6xUbPs6Ttn8vS7m8jK9U+ir6ypZ8nGg7z51c5m9z1vegYZyVHNzgdC\nWnw4v7qqef6dEEIEWnsJ9/8FHvL+rGGMVE0EFnvPfQ6cBkwBluu6XqvreimQBYwBZgBfNL1WKRUF\n2HVd363rugf40vsY4gRUUmus3jst/nwyo9N7uDXBYUSGUZC1Idnc5a1N5fF4+GFHPoUtVG7vTcqr\n6zBpGuEhFi6bOwgAm9XEyAyjdEZtnYu1en6L9z3v5IzuaqYQQhw3bY586bpeAaCUigTexRi5+os3\naAJjKtEBRAFN/3xt6XzTc2VHXTuwvYbGxIRhsXRvscyEhMhufb6+rLW+rPEYgUJGUrL0dwckJESS\nkBDJa7+OJetACY+8upqQUBsJCZG8++0uXv90G1NHJvPg9VN7uqmtqnN6CA+1kJgYRWJiFJ+MN6YR\nN+4s4MF/rKDWDaVV9c3uN296BinJzXPBukreb4EjfRkY0o+B09v7st2Ee6VUP+AD4Hld199SSj3W\n5OZIoAQjmIps53x717apuLh7q3onJERSUCD76AVCW315pLIY7OAwh0t/t+PofqyuMiqsl5bXUFBQ\nzhcr9gKwZXdhr+zLA/kVLN98iOKyGkJs5mZtrKoyamR98F2W79zZ0wZgtZg43zviFajXJb/fgSN9\nGRjSj4HTW/qyrQCwzWlHpVQSsBC4T9f1V7yn1yul5nh/ngcsBVYDM5VSIUopBzAcIxl/OXB202t1\nXS8D6pRSg5RSGnCm9zHECabe6abcUwhuEwNiE3u6OUGnIdHe5XLjcrsp9NYGq6xxsj27qMX7uN0e\nvlufy3uLd+P0Tle2Zs2OfN5bvLvTtbha4nK7+c0rq1n4wwEqqusJD7U2uyaihXOXzhnkW3koqw+F\nEH1FeyNf9wMxwENKqYbcrzuBp5VSNmA78K6u6y6l1NMYQZQJeEDX9Rql1N+B15VSy4A64Cfex7gF\neBMwY6x2XBXQVyV6vXqnm7vfeQ1PcjkOd1qv3H+xt2uo0P7x8myKymv9Eu8ff3sDd102hjGD/DcV\n/2ZtDv/+ZhcAGcmRTFQtB73F5bU8/6Gx9dHYwfEMTju26b4d+/0Ht1W/5kVQk2PDSI0P9+1jef/V\nkvwuhOib2sv5uhMj2Dra7BaufRF48ahzVcBlLVy7EpjWqZaKPuXVFd/iSTZKB8yfcnkPtyY4mc2N\nI0HLvFXuT5mQRlZOKfvzK/jPt1kM6x+DzWoEttl5Zb7ACyC3oJKJquXHXrk1z/fzH/+1lsdvnU6c\nI4S9h8pYtD6XqSOSGOlN/O+I5z/Y4nc8MrPl+543PYN/fLwVgIEpx2dVoxBC9DTZXkh0uzeXr2Kj\ncyEAY6OmkBaV1MMtCk5Wc/Nf39nj0rj9EmMLokNHqrjlr4uprXMBsGrbYb9rDxe3vipy9VG1uPYd\nLmf9zgIefn0NyzYd4q9vbyC3oGOV9Suq66mudQJw7xXjOf/kjFYDt+HezcLtNrNsSi2E6LMk+BLd\nbnnVhwCMDp/KTZMu7eHWBK/oJvsaNogKtxEbZcfSZFRsQ1YhNXVOlm/Ow2418/zPZmE2aRw8Utni\n4y7ffIh9eeXYrCZuPHcEAM++v5ln3t/sd91DL6/2bfrdmnqnizueMlI6Lz91CMMGxHDhzIGtBlZR\n4Tbuv2oiD98wpc3HFUKIYCbBl+h2DXnT1008r2cbEuTCQyw4ImwkxYTyvxeO4swp/YgKs6JpGs//\nbDYTVQIAuw+Wcu/fv6eiup7U+HBCbBaGpDvYl1fOzgMlvLxgGx8v2+t73G/W5gAwJD2a6Aib33Pa\nbWYumpnpO77jqaXsPVRGS9weD+t3FfqO545P69DrGpzuOKZtgoQQoreTvR1FtymuqObFZV/jsbih\n3obdYmv/TqJVmqbx6E3TMGkaNquZScMak+ctZhM/OW0oa/UCvl6T4ztv825ZNGNMCjv2l/CnN9f5\nbpugEkhPiCAxJpTsvHKuOVNR62xcEfnzy8f5CrwOTHPw17c3APDw62u4+0djGT0wznft5j1HePGT\nbb6RsdMmpvttlySEECcy+TQULVq9az/Pf7GM3CPtlmBr17vL1vHwgnd54NNX2WdbimbyoFnrAtBK\nEWKz+BLqj3b0qBXAyaONPQtbWuX4a+804s4DJYSHWIiNCiHBEYKmwdB0hy/wAhiZEctdl431He/K\nMd4nxeW1LNl4kCff2eg3JZkSF1ybfwshxPEkwZdopry6htcPPMtW28c89/37x/RY+wqP8J8DL5MX\nthotITswDRQdomkaYwYZo1EpcWE8dutJnDw6GQC71cxTd8wgLsruV0ZiY1YhJRV1jBkUj8lkjKi9\ndO9c7rtyQrPHHzMojidvnwFATn4lpZV1PPDiSl7zbpIdF9W4T2dNveu4vU4hhAg2Mu14gluwfgNf\nZi/m2nEXMjFzAAAHihvzdCpsOa3dtUM+27oazWRMXYV4onDYHByuP8BZKZLv1R1uOm8kX605wOmT\n+hEW4v/rHhlm47Fbp6NpGr94fjlHymrZutcozjpqYOMoV1vFTR3hNmIi7ezKKWHngRJq6hqDrD/e\nNI38kmo+XraXOeM6lu8lhBAnAgm++pj84iocEXbsrUxFHe3zgx+Do4JX13/E2P63YTGbOFTWWB29\n3uXkdx98SGpMDCMSM1mcvYabZ5xJXFR4m4+7dPtu3tz6IebYw+DR+Pn4u8iMTTmm1yY6LyzEwgUz\nMlu9vSGwmjU2lQ+W7mWltxxFalzb/75NTRmeyJerD/iS9k+dkM700clYLSbS4sO59cJRx/AKhBCi\n75Fpxz4kK6+A36z8E48tfL/drWMAco4UQ6hRq8kTncMT3xolILbmNa58M9lryHesYIP7U97Ke5bc\nkJU8//0HbT7ulpxc3j70DyPwAs7OOFcCr14uxO7/d1h6YseDr+mjjH/b3MJKNOD8GRlkSoFUIYRo\nlQRffcj/rf8Uk72GvNAfuO3Dv1LXTp7NoqwNfsf7XBupd7rIrspq5R6GWs2/uGZNnZMPVm3m+a8X\nsTO3gDc2fOq7bVzUVK6ZOq+Tr0R0t5iIxpphF88aiNnU8Y+GfokRvpFWq8VEZJisYhVCiLZI8NVH\n7M0/whH7Nt+xOaaApxd96nfNN1u3cdsHT/DZxo0AbCvSAbhx2M3EuweBrZqVe3ZRZ6oAp50oj5Gc\nrXk0Us2DsWHUXjrizOPlJYsBo4jmQ5+/wteV/2Kr6XP+tvlpykJ2A/DYjN9y46RLZEPkIJAY01hX\na9bY1E7f/7ZLRqMB1509PICtEkKIvklyvvqID7ctAkBzW/GYjCX++ezii02bWbJnA3fOuYj39r+D\n5qhiwf5P+WzPIjyOg2hOO2NSMtl8cCCFZbvZlJeF21KF3RnD/bNvYmHWSi4cPhezyUy9y8md3z2A\nKaSKdc5POatoDNlF+VRFNo6UabZaAELrkgm3SXmBYNEvMYJL5wwiITqUqPDOj1yNzIjl2btnEWqX\njxQhhGiPfFL2EUW1xWCFn6qr0DwmXst6GerC+KTwXxAFv1+chxZZBYAWXoIHoy5TonkAJs3EoNhU\nVpbBNucSNBPE25KJtEdwycjTfM9hNVtIMmWQ7zFywp747j08uCEaJkbMJjbMwVf5HwPgsDkQwUPT\nNM6eNuCYHkMCLyGE6BiZduwDauvrKXIfBLeJMckDGRyfhscDlWGNifNEFjS7n8lt5cdjzgBgygAF\nnsbpwQFR6S0+1y9nXu+7riZ6J7XRxqjXsIRMzhw6iWhSybCP4I7pPwrUyxNCCCH6FPlT9Rh4PB52\nHDjC0PTYTiUoB9qHG1eDvZIkhhBitRNitWOrj6be1rw6/bzU89icv4Nrx19IQngMFpPxFrCYLVyn\nruPVna8AMDq15fIEdoudZ055lNsX/dLv/MR+g7FbbPzhlLsC/OqEEEKIvkWCry5avyeH/6xdRlns\neibuP5MbZpzCS0u+Jb+yiHtOvRC77fh3bUVNLU8vWsABNmGyw4XDTvHdFmZyUOqdWsRpA0sd5roo\nzh02k3OHzWzx8SalDyPdcR96YTZjUwe1+rwmzcRDk+/l4R8eA+C81Etln0YhhBCigyT46oLSqmpe\nyn4a4kADNpWvYkP2UNY7vwA73PX1FoZaJ3PzrNMprayluLyWQakxfoVPK6rrWLBxA6mOWGYNH9yl\ndryzbgm59lWYAI/LzKiUxtGqaGs0pZ59ANjdkdRyBAv2Vh6pUXJkHMmRcR24Lp5fTbyHpfvWc4aa\n1KX2CyGEECciCb7a8faqleRXFHPbKWdh0jTqnS6eXbyApnFMPTW8uOdp37EppIosFvPRpkiWFXwH\nIRWYNiby2Fl3EmqzAvD7b142crKq4D+HwF0WR6gWxfxplzIoKQEwtv5ZfyCbX51zPhaz/7RmVW0d\nG4s34K3+QJptICat8ZqZA8exb/dGkk2DGJY2hFWHVzGr/7SA9k26I4krxpwV0McUQggh+joJvtrw\nr++XsrL6E9Dg1WUhbC3aTk3YATS7C81l48Fpd/H0yn9Taj/gu0+slkaRJxeA7w+tgQijIKk7Ip/n\nl3zKPaddSHl1DRUh2TStfmWKOkItR/jnD+8zL/MUVGoinxe/BRHw3GILd55yrl/b/rb4A5yhBcR4\n0rlpyiWkR/hXkD9pwEiSom4jNSKREGsIl40+BSGEEEL0PAm+WrFhdy7fl3+B5u2hdfWfQyS+gOns\n9HNIjoxn3qDZvJ39BgB3jLqdQXEpvLT2QzZXrMYVkQdAgjaQAtc+9phW8LP3Cwix2NAiPKQwnLFp\nGewpOUCULYo1xSuoCNvNfw/vhsONbdFdy9mSM45R6cYKxIrqOnIta8Fl4Rczr8MREtniaxgY0/+4\n9I0QQgghuk6CrxZU19Xz6PK/odnrSbYMwOKKIMez1Xf7ZMcszh5+EgAzMkezIncYcSGxqMR+AFwy\n/DQ2/7Dad/38KT9m75FDvJ71GrXRu6j1nh8YPYDz1FzfdSVLq8mqX+/XlrHh09lYuYK/73way9o0\nzsqcyyf5b6GZIMQd02rgJYQQQoje6YQPvtweD+VV9bhcbl5dtZD86sOU27PR7PWYXWHcN+tG3t20\njJwSI/i6d+JdDHA0br+iaRr3zbze7zFjwxsDomsGX0dCeAwJ4THUuq7k7b1v+m6bOXC03/1umHI+\nT60spZ5ajrhyOT1lHtPSxrJxzQoAnJG5LCh8g4bUruvHXxLIrhBCCCFEN+hzwdeGfTnsP1LA+RPG\nA8Z+hgt3rcLqCeWBsy8h1G7F5Xbz7abdLNi7EKdjX+OdzUBE49Tir6bejs1i4+zhU9i4fC2nD5jr\nF3i1xmwy86tJd1PnrmdgdOPU38zMsajENF744V3mDphGv+gEv/tF2cN5aPYtzR5vbvw8FhV+7nfu\nisyrGJk4sGOdIoQQQoheo08FXxv27+PF3c8BMLEogyRHFO/ufxtTVA0Ar//goKbGzS6TsSk0R+2A\nY/OEMzVxKvXuesakDyUlyii5EB0awZ9P+0Wn2pIeldLi+cTweH49p3mA1ZZLx8zlYs9sX2FTzW1l\nRuaYTj2GEEIIIXqHPhV8fb9/k+/nP254FK00BZOjxnduc92iZhsqndPvHM4cNAOzyex3PiEhkoKC\n8uPa3s4waSbuHnMHL298h0uHndPTzRFCCCFEF/Wp4KuopsQvuPI4DgEw3XEGK4q/BpPbd9vcxDMY\n4Ehjcr/h3d3MLhscn86jp/6sp5shhBBCiGMQ1MFXvdOF2WTCZNJYu3cfua6daGj8ctK435bEAAAM\nIUlEQVTPyCo6wLvZ72B2hXL+qOlMrRjGkxuNQqjPzv0zmqa18+hCCCGEEIEXtMHXwaIS/rDiOVz1\nFs4bcA6flfwfmhWG2MbTLzqJftFJZMamkBwRT4jFTqQ9jFtH3kyoxS6BlxBCCCF6TNAGX8+veg/C\nSjEDn5X8HwBhrgRun/4j3zUZ0Wl+9xmV1Ppm0UIIIYQQ3cHU/iW9z39X/0CxXQe3f/MfmnVrs8R5\nIYQQQojeJOiCL5fLzXcV/wXg9KRz+MX4uzG5bYQ444iyR/Rw64QQQggh2hZU044ej4d/rVzqOz5/\n1MmYNBN/nfubHmyVEEIIIUTHBU3wdai4jMcXvU1tdBa4zVw/7FpM3n12bGZrD7dOCCGEEKJjOhR8\nKaWmAn/WdX2OUmow8BrgAbYA83VddyulbgRuBpzAI7quL1BKhQJvAIlAOXCNrusFSqlpwFPeaxfq\nuv679trwx++fwx1dDMCVg69kYrrq5EsVQgghhOh57eZ8KaXuBV4CQrynngAe1HV9JsY2iBcopZKB\nO4CTgTOBR5VSduBWYLP32v8DHvQ+xgvAT4AZwFSl1Pj22uEOMQKvufHzmJ4xqsMvUAghhBCiN+lI\nwv1u4OImxxMB7+aIfA6cBkwBluu6XqvreimQBYzBCK6+aHqtUioKsOu6vlvXdQ/wpfcx2jUubBaX\njpnbkUuFEEIIIXqldoMvXdffA+qbnNK8QRMYU4kOIAoobXJNS+ebnitr4dp2zciQzaSFEEIIEdy6\nknDvbvJzJFCCEUxFtnO+vWvb9PCc+1BJGV1obtclJES2f5HoEOnLwJB+DBzpy8CRvgwM6cfA6e19\n2ZXga71Sao6u698B84BFwGrgD0qpEMAODMdIxl8OnO29fR6wVNf1MqVUnVJqELAHI0es3YT7WFMc\nBQXlXWhu1yQkRHbr8/Vl0peBIf0YONKXgSN9GRjSj4HTW/qyrQCwK8HXPcCLSikbsB14V9d1l1Lq\naWApxlTmA7qu1yil/g68rpRaBtRhJNkD3AK8CZgxVjuu6kI7hBBCCCGCjubxeNq/qhcoKCjv1ob2\nlsi5L5C+DAzpx8CRvgwc6cvAkH4MnN7SlwkJkVprtwXd9kJCCCGEEMFMgi8hhBBCiG4kwZcQQggh\nRDeS4EsIIYQQohtJ8CWEEEII0Y0k+BJCCCGE6EYSfAkhhBBCdCMJvoQQQgghupEEX0IIIYQQ3Sho\nKtwLIYQQQvQFMvIlhBBCCNGNJPgSQgghhOhGEnwJIYQQQnQjCb6EEEIIIbqRBF9CCCGEEN1Igi8h\nhBBCBB2llNbTbegqCb6EEH1aMH9A9wZKqXClVERPt6MvUEpZ5P0YGEqpWCCpp9vRVSds8KWUmqOU\nus77s/wyHAOl1D1KqceUUlf0dFuCmVLqdm9fTujptgQ7pdS5SqkXe7odwU4pdRvwNjCmp9sS7JRS\n9wPPAOf0dFuCnVLqGmAncEtPt6WrTtjgC7gUuFgplaTrukcCsM5TSkUopd4HhgKfAA8opeb1cLOC\njndk4V1gHFAD3KOUGt7DzQp2Q4CfKqVGeX+/zT3doGCilEpQSm0HEoGf6Lq+oslt8lnZCUopu1Lq\nKSAWeAKwN7lN+rITlFInKaW+AKYBa4AvveeDrh9PyOBLKXUGMBrIBm4D0HVdSv13XjhQBNyv6/pS\n4N+ArWebFJRsQBVwO/ACUAuU9miLgpRSquln2rvAYwC6rrt6pkXBSdf1AmArkAU8pJR6USn1Z+9t\n8lnZOU6MgOtT4H+BOUqpX4L0ZRcMAh7Vdf1WjMBrFARnP54QwZdS6mal1E1NTm3E+Avk78BgpdRk\n73VBFz13N29f3uw9TMAY8SrxHp8BFHivOyHeW111VD/GAa/oul4F3Af8COML7z7vtdKXbTjq91tT\nSoUBE3RdvxJIUkotVEpd0INNDApN+9E7UvglcCdGAHY/MEUp9aD3dnlPtuGo92Sa9/8nYXz3PALM\nU0o95L1W+rIN3r681Xv4pq7ri73vz5HAbu81QdeHQdfgLpoF3O/9UEbX9cO6rn+EMfL1PfBT7/mg\ni557wCzgV0qpMF3Xt+i6/pGu6y6l1FjA0mR64kR5b3VV037M0nX9O+/5LzGSSJ8BblFKheq67u6p\nRgYJ3++3d4QrFMhSSl0NaBjTuV/3ZAODxNH9uAV4DnjdOxL2v8CFSim7vCfb1bQv9wPlwEXAFl3X\nD2PkKl2olAqRvmzXLOA+b196lFI27/tzJ3AZQDD2YZ/8glRKJTf5eSRQBuwA/uA9ZwbwjjQsBOKV\nUj/pgab2eq30pU5jXza8hwYDLymlxnjn5C/p7rb2Zp3ox726rldijIa9j5EDJppooy//6D0dg5FO\nMBM4E1iLMaIommijHx/1nl4HvI6RqwSQAXyi63ptNzYzKLTRl3/2nv4HcAgY4/3+yQS+0XVdfr+P\n0t5nJdCQQvAtUKyUSuneFgaG5vH0ncEepVQ68FuMJNFPMAKrEiAZyAU2AWfrur5DKWX2jtiEAKcD\nubqur+uZlvc+nelL7/X/wph2XAn8Q9f1z3qg2b1OJ9+TJwPnY+QjmoAndF1f2BPt7o062Jfn6bq+\nVSk1Rtf1Td77DQYydV3/qkca3st08j15KnA1xtSZG/iTruuLeqLdvVEH+/JcXde3KaUuBE7FWKAU\nBjwsv9+NuvCdMwnjj6yng/G7u6+NfF0LHMTIU0gBfg64dEMF8Bre6LkhAVfX9Rpd1z8Jxn+84+xa\nOtiXSikbYAZ+rev6BRJ4+bmW9vuxYcRmJUafPqfr+lnywdzMtbTfl48ANAm8LN5pXQm8Gl1L+/3Y\nMPq1GGOK7HFd18+UwKuZa+ng5yTwka7rt2N8Ts6U3+9mrqXjfYmu62swcmWD8rs76Ee+vLW65mAk\n3mVi/DWxx/vX7k0YI1pPNbk+F5iv6/qHPdHe3qyLfXmHruvveefh63qi3b2NvCcDR/oyMKQfA0f6\nMnBO5L4M6pEvpdSfgHnAU8BY4BqgYQVZDkaS7QBlVMJt8FOM+WPRxDH05XYACbwM8p4MHOnLwJB+\nDBzpy8A50fsyqIMvwAH80zvs+CzGypyfKKXGeRMZ84EQoKKhjISu69/our69x1rce3W1L7f1WIt7\nJ3lPBo70ZWBIPwaO9GXgnNB9aenpBnSVd3XY+8Aq76kfAx8Dm4GnlFI3AqdhrBozy8hM66QvA0P6\nMXCkLwND+jFwpC8DR/qyD+R8ASilojCGKM/XdT1PKfUAxvLoJODnuq7n9WgDg4j0ZWBIPwaO9GVg\nSD8GjvRl4JyofRm0I19HScP4x3MopZ7GKA74S13X63u2WUFJ+jIwpB8DR/oyMKQfA0f6MnBOyL7s\nK8HXLOCXwATgX7quv9nD7Qlm0peBIf0YONKXgSH9GDjSl4FzQvZlXwm+6oAHgb/0xbnhbiZ9GRjS\nj4EjfRkY0o+BI30ZOCdkX/aV4Os1XfZlDBTpy8CQfgwc6cvAkH4MHOnLwDkh+7JPJNwLIYQQQgSL\nYK/zJYQQQggRVCT4EkIIIYToRhJ8/X97d89jUxiFYfjmICR0NCTi+1GIjChOphEqohCRaEQlUfn4\nByJoiMovmE4x0UypmkZhKh/dQmhETEFPIqPYW2EKCplXsvd9VTsn603W6Z6slb1fSZKkhgxfkiRJ\nDQ3lbUdJ+k2SPcAb4Nf9o1uA18D1qlr+w7nFqjq19h1KGisnX5KG7FNVzVTVDHAYeAc8+cuZk2ve\nlaRRc/IlaRSqaiXJbWA5yVHgBnCE7g65Ai4ADwCSLFXVNMkZ4C6wEfgAXK2qL//lD0gaDCdfkkaj\n/4L2W+A88L2qZoEDdCvJs1V1s6+bJtkB3AdOV9Ux4Cl9OJOkf+HkS9LYrAAvgPdJrtGtIw8CW1fV\nTYHdwGISgAnwtWGfkgbK8CVpNJJsAgLsA+4Bj4A5YDuwblX5BHhWVef6s5uBbe26lTRUrh0ljUKS\n9cAd4DmwH5ivqjngM3CCLmwB/EiyAVgCZpMc6n+/BTxs27WkIXLyJWnIdiZ52T9P6NaNl4BdwOMk\nF4FvdIFsb1+3ALwCjgNXgPkkE+AjcLlh75IGyou1JUmSGnLtKEmS1JDhS5IkqSHDlyRJUkOGL0mS\npIYMX5IkSQ0ZviRJkhoyfEmSJDVk+JIkSWroJ+UpT/uLJVpjAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x11626e2d0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# expressed in invested currency units (USD, GPB, ...)\n",
"(res.dropna() * 10000).plot(figsize=(10, 6));"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<img src=\"http://hilpisch.com/tpq_logo.png\" width=300px align=right>"
]
}
],
"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": "2.7.13"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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#
# Tick Data Client
# with ZeroMQ
#
import zmq
import datetime
context = zmq.Context()
socket = context.socket(zmq.SUB)
socket.connect('tcp://127.0.0.1:5555')
socket.setsockopt(zmq.SUBSCRIBE, '')
while True:
msg = socket.recv_string()
t = datetime.datetime.now()
print(str(t) + ' | ' + msg)
#
# Tick Data Collector
# with ZeroMQ
#
import zmq
import datetime
import pandas as pd
context = zmq.Context()
socket = context.socket(zmq.SUB)
socket.connect('tcp://127.0.0.1:5555')
socket.setsockopt(zmq.SUBSCRIBE, '')
df = pd.DataFrame()
i = 0
while True:
i += 1
msg = socket.recv_string()
sym, value = msg.split()
t = datetime.datetime.now()
print(('%2d' % i) + ' | ' + str(t) + ' | ' + msg)
df = df.append(pd.DataFrame({sym: float(value)}, index=[t]))
if i % 5 == 0:
df['SMA1'] = df[sym].rolling(5).mean()
df['SMA2'] = df[sym].rolling(10).mean()
print(df.tail())
#
# Tick Data Server
# with ZeroMQ
#
import zmq
import random
import time
context = zmq.Context()
socket = context.socket(zmq.PUB)
socket.bind('tcp://127.0.0.1:5555')
AAPL = 100.
while True:
AAPL += random.gauss(0, 1) * 0.5
msg = 'AAPL %.3f' % AAPL
print(msg)
socket.send_string(msg)
time.sleep(random.random() * 2)
#
# Tick Data Collector
# with ZeroMQ
#
import zmq
import datetime
import pandas as pd
context = zmq.Context()
socket = context.socket(zmq.SUB)
socket.connect('tcp://127.0.0.1:5555')
socket.setsockopt(zmq.SUBSCRIBE, '')
df = pd.DataFrame()
i = 0
position = 0
while True:
i += 1
msg = socket.recv_string()
sym, value = msg.split()
t = datetime.datetime.now()
print(('%2d' % i) + ' | ' + str(t) + ' | ' + msg)
df = df.append(pd.DataFrame({sym: float(value)}, index=[t]))
if i >= 10 :
df['SMA1'] = df[sym].rolling(5).mean()
df['SMA2'] = df[sym].rolling(10).mean()
if position == 0:
if df['SMA1'].ix[-1] > df['SMA2'].ix[-1]:
print(50 * '=')
print('WE GO LONG THE MARKET.')
#
# code to connect to your broker
# to place a buy order
#
position = 1
print(df.ix[-1])
print('')
elif position == 1:
if df['SMA1'].ix[-1] < df['SMA2'].ix[-1]:
print(50 * '=')
print('WE EXIT THE MARKET.')
#
# code to connect to your broker
# to place a sell order
#
position = 0
print(df.ix[-1])
print('')
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