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VictorNas/DV0101EN-2-2-1-Area-Plots-Histograms-and-Bar-Charts-py-v2.0.ipynb

Created March 28, 2019 21:33
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DV0101EN-2-2-1-Area-Plots-Histograms-and-Bar-Charts-py-v2.0.ipynb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"button": false,
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}
},
"source": [
"<a href=\"https://cognitiveclass.ai\"><img src = \"https://ibm.box.com/shared/static/9gegpsmnsoo25ikkbl4qzlvlyjbgxs5x.png\" width = 400> </a>\n",
"\n",
"<h1 align=center><font size = 5>Area Plots, Histograms, and Bar Plots</font></h1>"
]
},
{
"cell_type": "markdown",
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"button": false,
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},
"source": [
"## Introduction\n",
"\n",
"In this lab, we will continue exploring the Matplotlib library and will learn how to create additional plots, namely area plots, histograms, and bar charts."
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
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},
"source": [
"## Table of Contents\n",
"\n",
"<div class=\"alert alert-block alert-info\" style=\"margin-top: 20px\">\n",
"\n",
"1. [Exploring Datasets with *pandas*](#0)<br>\n",
"2. [Downloading and Prepping Data](#2)<br>\n",
"3. [Visualizing Data using Matplotlib](#4) <br>\n",
"4. [Area Plots](#6) <br>\n",
"5. [Histograms](#8) <br>\n",
"6. [Bar Charts](#10) <br>\n",
"</div>\n",
"<hr>"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
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},
"source": [
"# Exploring Datasets with *pandas* and Matplotlib<a id=\"0\"></a>\n",
"\n",
"Toolkits: The course heavily relies on [*pandas*](http://pandas.pydata.org/) and [**Numpy**](http://www.numpy.org/) for data wrangling, analysis, and visualization. The primary plotting library that we are exploring in the course is [Matplotlib](http://matplotlib.org/).\n",
"\n",
"Dataset: Immigration to Canada from 1980 to 2013 - [International migration flows to and from selected countries - The 2015 revision](http://www.un.org/en/development/desa/population/migration/data/empirical2/migrationflows.shtml) from United Nation's website.\n",
"\n",
"The dataset contains annual data on the flows of international migrants as recorded by the countries of destination. The data presents both inflows and outflows according to the place of birth, citizenship or place of previous / next residence both for foreigners and nationals. For this lesson, we will focus on the Canadian Immigration data."
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"# Downloading and Prepping Data <a id=\"2\"></a>"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Import Primary Modules. The first thing we'll do is import two key data analysis modules: *pandas* and **Numpy**."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"button": false,
"collapsed": false,
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},
"outputs": [],
"source": [
"import numpy as np # useful for many scientific computing in Python\n",
"import pandas as pd # primary data structure library"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Let's download and import our primary Canadian Immigration dataset using *pandas* `read_excel()` method. Normally, before we can do that, we would need to download a module which *pandas* requires to read in excel files. This module is **xlrd**. For your convenience, we have pre-installed this module, so you would not have to worry about that. Otherwise, you would need to run the following line of code to install the **xlrd** module:\n",
"```\n",
"!conda install -c anaconda xlrd --yes\n",
"```"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Download the dataset and read it into a *pandas* dataframe."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Data downloaded and read into a dataframe!\n"
]
}
],
"source": [
"df_can = pd.read_excel('https://ibm.box.com/shared/static/lw190pt9zpy5bd1ptyg2aw15awomz9pu.xlsx',\n",
" sheet_name='Canada by Citizenship',\n",
" skiprows=range(20),\n",
" skipfooter=2\n",
" )\n",
"\n",
"print('Data downloaded and read into a dataframe!')"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Let's take a look at the first five items in our dataset."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"button": false,
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"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
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" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Type</th>\n",
" <th>Coverage</th>\n",
" <th>OdName</th>\n",
" <th>AREA</th>\n",
" <th>AreaName</th>\n",
" <th>REG</th>\n",
" <th>RegName</th>\n",
" <th>DEV</th>\n",
" <th>DevName</th>\n",
" <th>1980</th>\n",
" <th>...</th>\n",
" <th>2004</th>\n",
" <th>2005</th>\n",
" <th>2006</th>\n",
" <th>2007</th>\n",
" <th>2008</th>\n",
" <th>2009</th>\n",
" <th>2010</th>\n",
" <th>2011</th>\n",
" <th>2012</th>\n",
" <th>2013</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Immigrants</td>\n",
" <td>Foreigners</td>\n",
" <td>Afghanistan</td>\n",
" <td>935</td>\n",
" <td>Asia</td>\n",
" <td>5501</td>\n",
" <td>Southern Asia</td>\n",
" <td>902</td>\n",
" <td>Developing regions</td>\n",
" <td>16</td>\n",
" <td>...</td>\n",
" <td>2978</td>\n",
" <td>3436</td>\n",
" <td>3009</td>\n",
" <td>2652</td>\n",
" <td>2111</td>\n",
" <td>1746</td>\n",
" <td>1758</td>\n",
" <td>2203</td>\n",
" <td>2635</td>\n",
" <td>2004</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Immigrants</td>\n",
" <td>Foreigners</td>\n",
" <td>Albania</td>\n",
" <td>908</td>\n",
" <td>Europe</td>\n",
" <td>925</td>\n",
" <td>Southern Europe</td>\n",
" <td>901</td>\n",
" <td>Developed regions</td>\n",
" <td>1</td>\n",
" <td>...</td>\n",
" <td>1450</td>\n",
" <td>1223</td>\n",
" <td>856</td>\n",
" <td>702</td>\n",
" <td>560</td>\n",
" <td>716</td>\n",
" <td>561</td>\n",
" <td>539</td>\n",
" <td>620</td>\n",
" <td>603</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Immigrants</td>\n",
" <td>Foreigners</td>\n",
" <td>Algeria</td>\n",
" <td>903</td>\n",
" <td>Africa</td>\n",
" <td>912</td>\n",
" <td>Northern Africa</td>\n",
" <td>902</td>\n",
" <td>Developing regions</td>\n",
" <td>80</td>\n",
" <td>...</td>\n",
" <td>3616</td>\n",
" <td>3626</td>\n",
" <td>4807</td>\n",
" <td>3623</td>\n",
" <td>4005</td>\n",
" <td>5393</td>\n",
" <td>4752</td>\n",
" <td>4325</td>\n",
" <td>3774</td>\n",
" <td>4331</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Immigrants</td>\n",
" <td>Foreigners</td>\n",
" <td>American Samoa</td>\n",
" <td>909</td>\n",
" <td>Oceania</td>\n",
" <td>957</td>\n",
" <td>Polynesia</td>\n",
" <td>902</td>\n",
" <td>Developing regions</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Immigrants</td>\n",
" <td>Foreigners</td>\n",
" <td>Andorra</td>\n",
" <td>908</td>\n",
" <td>Europe</td>\n",
" <td>925</td>\n",
" <td>Southern Europe</td>\n",
" <td>901</td>\n",
" <td>Developed regions</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 43 columns</p>\n",
"</div>"
],
"text/plain": [
" Type Coverage OdName AREA AreaName REG \\\n",
"0 Immigrants Foreigners Afghanistan 935 Asia 5501 \n",
"1 Immigrants Foreigners Albania 908 Europe 925 \n",
"2 Immigrants Foreigners Algeria 903 Africa 912 \n",
"3 Immigrants Foreigners American Samoa 909 Oceania 957 \n",
"4 Immigrants Foreigners Andorra 908 Europe 925 \n",
"\n",
" RegName DEV DevName 1980 ... 2004 2005 2006 \\\n",
"0 Southern Asia 902 Developing regions 16 ... 2978 3436 3009 \n",
"1 Southern Europe 901 Developed regions 1 ... 1450 1223 856 \n",
"2 Northern Africa 902 Developing regions 80 ... 3616 3626 4807 \n",
"3 Polynesia 902 Developing regions 0 ... 0 0 1 \n",
"4 Southern Europe 901 Developed regions 0 ... 0 0 1 \n",
"\n",
" 2007 2008 2009 2010 2011 2012 2013 \n",
"0 2652 2111 1746 1758 2203 2635 2004 \n",
"1 702 560 716 561 539 620 603 \n",
"2 3623 4005 5393 4752 4325 3774 4331 \n",
"3 0 0 0 0 0 0 0 \n",
"4 1 0 0 0 0 1 1 \n",
"\n",
"[5 rows x 43 columns]"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_can.head()"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Let's find out how many entries there are in our dataset."
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
},
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(195, 43)\n"
]
}
],
"source": [
"# print the dimensions of the dataframe\n",
"print(df_can.shape)"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Clean up data. We will make some modifications to the original dataset to make it easier to create our visualizations. Refer to `Introduction to Matplotlib and Line Plots` lab for the rational and detailed description of the changes."
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"#### 1. Clean up the dataset to remove columns that are not informative to us for visualization (eg. Type, AREA, REG)."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
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" }\n",
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" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>OdName</th>\n",
" <th>AreaName</th>\n",
" <th>RegName</th>\n",
" <th>DevName</th>\n",
" <th>1980</th>\n",
" <th>1981</th>\n",
" <th>1982</th>\n",
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" <th>...</th>\n",
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" <th>2005</th>\n",
" <th>2006</th>\n",
" <th>2007</th>\n",
" <th>2008</th>\n",
" <th>2009</th>\n",
" <th>2010</th>\n",
" <th>2011</th>\n",
" <th>2012</th>\n",
" <th>2013</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Afghanistan</td>\n",
" <td>Asia</td>\n",
" <td>Southern Asia</td>\n",
" <td>Developing regions</td>\n",
" <td>16</td>\n",
" <td>39</td>\n",
" <td>39</td>\n",
" <td>47</td>\n",
" <td>71</td>\n",
" <td>340</td>\n",
" <td>...</td>\n",
" <td>2978</td>\n",
" <td>3436</td>\n",
" <td>3009</td>\n",
" <td>2652</td>\n",
" <td>2111</td>\n",
" <td>1746</td>\n",
" <td>1758</td>\n",
" <td>2203</td>\n",
" <td>2635</td>\n",
" <td>2004</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Albania</td>\n",
" <td>Europe</td>\n",
" <td>Southern Europe</td>\n",
" <td>Developed regions</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>1450</td>\n",
" <td>1223</td>\n",
" <td>856</td>\n",
" <td>702</td>\n",
" <td>560</td>\n",
" <td>716</td>\n",
" <td>561</td>\n",
" <td>539</td>\n",
" <td>620</td>\n",
" <td>603</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Algeria</td>\n",
" <td>Africa</td>\n",
" <td>Northern Africa</td>\n",
" <td>Developing regions</td>\n",
" <td>80</td>\n",
" <td>67</td>\n",
" <td>71</td>\n",
" <td>69</td>\n",
" <td>63</td>\n",
" <td>44</td>\n",
" <td>...</td>\n",
" <td>3616</td>\n",
" <td>3626</td>\n",
" <td>4807</td>\n",
" <td>3623</td>\n",
" <td>4005</td>\n",
" <td>5393</td>\n",
" <td>4752</td>\n",
" <td>4325</td>\n",
" <td>3774</td>\n",
" <td>4331</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>American Samoa</td>\n",
" <td>Oceania</td>\n",
" <td>Polynesia</td>\n",
" <td>Developing regions</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Andorra</td>\n",
" <td>Europe</td>\n",
" <td>Southern Europe</td>\n",
" <td>Developed regions</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 38 columns</p>\n",
"</div>"
],
"text/plain": [
" OdName AreaName RegName DevName 1980 1981 \\\n",
"0 Afghanistan Asia Southern Asia Developing regions 16 39 \n",
"1 Albania Europe Southern Europe Developed regions 1 0 \n",
"2 Algeria Africa Northern Africa Developing regions 80 67 \n",
"3 American Samoa Oceania Polynesia Developing regions 0 1 \n",
"4 Andorra Europe Southern Europe Developed regions 0 0 \n",
"\n",
" 1982 1983 1984 1985 ... 2004 2005 2006 2007 2008 2009 2010 \\\n",
"0 39 47 71 340 ... 2978 3436 3009 2652 2111 1746 1758 \n",
"1 0 0 0 0 ... 1450 1223 856 702 560 716 561 \n",
"2 71 69 63 44 ... 3616 3626 4807 3623 4005 5393 4752 \n",
"3 0 0 0 0 ... 0 0 1 0 0 0 0 \n",
"4 0 0 0 0 ... 0 0 1 1 0 0 0 \n",
"\n",
" 2011 2012 2013 \n",
"0 2203 2635 2004 \n",
"1 539 620 603 \n",
"2 4325 3774 4331 \n",
"3 0 0 0 \n",
"4 0 1 1 \n",
"\n",
"[5 rows x 38 columns]"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_can.drop(['AREA', 'REG', 'DEV', 'Type', 'Coverage'], axis=1, inplace=True)\n",
"\n",
"# let's view the first five elements and see how the dataframe was changed\n",
"df_can.head()"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Notice how the columns Type, Coverage, AREA, REG, and DEV got removed from the dataframe."
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"#### 2. Rename some of the columns so that they make sense."
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"text/html": [
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" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Country</th>\n",
" <th>Continent</th>\n",
" <th>Region</th>\n",
" <th>DevName</th>\n",
" <th>1980</th>\n",
" <th>1981</th>\n",
" <th>1982</th>\n",
" <th>1983</th>\n",
" <th>1984</th>\n",
" <th>1985</th>\n",
" <th>...</th>\n",
" <th>2004</th>\n",
" <th>2005</th>\n",
" <th>2006</th>\n",
" <th>2007</th>\n",
" <th>2008</th>\n",
" <th>2009</th>\n",
" <th>2010</th>\n",
" <th>2011</th>\n",
" <th>2012</th>\n",
" <th>2013</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Afghanistan</td>\n",
" <td>Asia</td>\n",
" <td>Southern Asia</td>\n",
" <td>Developing regions</td>\n",
" <td>16</td>\n",
" <td>39</td>\n",
" <td>39</td>\n",
" <td>47</td>\n",
" <td>71</td>\n",
" <td>340</td>\n",
" <td>...</td>\n",
" <td>2978</td>\n",
" <td>3436</td>\n",
" <td>3009</td>\n",
" <td>2652</td>\n",
" <td>2111</td>\n",
" <td>1746</td>\n",
" <td>1758</td>\n",
" <td>2203</td>\n",
" <td>2635</td>\n",
" <td>2004</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Albania</td>\n",
" <td>Europe</td>\n",
" <td>Southern Europe</td>\n",
" <td>Developed regions</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>1450</td>\n",
" <td>1223</td>\n",
" <td>856</td>\n",
" <td>702</td>\n",
" <td>560</td>\n",
" <td>716</td>\n",
" <td>561</td>\n",
" <td>539</td>\n",
" <td>620</td>\n",
" <td>603</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Algeria</td>\n",
" <td>Africa</td>\n",
" <td>Northern Africa</td>\n",
" <td>Developing regions</td>\n",
" <td>80</td>\n",
" <td>67</td>\n",
" <td>71</td>\n",
" <td>69</td>\n",
" <td>63</td>\n",
" <td>44</td>\n",
" <td>...</td>\n",
" <td>3616</td>\n",
" <td>3626</td>\n",
" <td>4807</td>\n",
" <td>3623</td>\n",
" <td>4005</td>\n",
" <td>5393</td>\n",
" <td>4752</td>\n",
" <td>4325</td>\n",
" <td>3774</td>\n",
" <td>4331</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>American Samoa</td>\n",
" <td>Oceania</td>\n",
" <td>Polynesia</td>\n",
" <td>Developing regions</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Andorra</td>\n",
" <td>Europe</td>\n",
" <td>Southern Europe</td>\n",
" <td>Developed regions</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 38 columns</p>\n",
"</div>"
],
"text/plain": [
" Country Continent Region DevName 1980 1981 \\\n",
"0 Afghanistan Asia Southern Asia Developing regions 16 39 \n",
"1 Albania Europe Southern Europe Developed regions 1 0 \n",
"2 Algeria Africa Northern Africa Developing regions 80 67 \n",
"3 American Samoa Oceania Polynesia Developing regions 0 1 \n",
"4 Andorra Europe Southern Europe Developed regions 0 0 \n",
"\n",
" 1982 1983 1984 1985 ... 2004 2005 2006 2007 2008 2009 2010 \\\n",
"0 39 47 71 340 ... 2978 3436 3009 2652 2111 1746 1758 \n",
"1 0 0 0 0 ... 1450 1223 856 702 560 716 561 \n",
"2 71 69 63 44 ... 3616 3626 4807 3623 4005 5393 4752 \n",
"3 0 0 0 0 ... 0 0 1 0 0 0 0 \n",
"4 0 0 0 0 ... 0 0 1 1 0 0 0 \n",
"\n",
" 2011 2012 2013 \n",
"0 2203 2635 2004 \n",
"1 539 620 603 \n",
"2 4325 3774 4331 \n",
"3 0 0 0 \n",
"4 0 1 1 \n",
"\n",
"[5 rows x 38 columns]"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_can.rename(columns={'OdName':'Country', 'AreaName':'Continent','RegName':'Region'}, inplace=True)\n",
"\n",
"# let's view the first five elements and see how the dataframe was changed\n",
"df_can.head()"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Notice how the column names now make much more sense, even to an outsider."
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"#### 3. For consistency, ensure that all column labels of type string."
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
},
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# let's examine the types of the column labels\n",
"all(isinstance(column, str) for column in df_can.columns)"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Notice how the above line of code returned *False* when we tested if all the column labels are of type **string**. So let's change them all to **string** type."
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_can.columns = list(map(str, df_can.columns))\n",
"\n",
"# let's check the column labels types now\n",
"all(isinstance(column, str) for column in df_can.columns)"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"#### 4. Set the country name as index - useful for quickly looking up countries using .loc method."
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Continent</th>\n",
" <th>Region</th>\n",
" <th>DevName</th>\n",
" <th>1980</th>\n",
" <th>1981</th>\n",
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" <th>1984</th>\n",
" <th>1985</th>\n",
" <th>1986</th>\n",
" <th>...</th>\n",
" <th>2004</th>\n",
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" <th>2009</th>\n",
" <th>2010</th>\n",
" <th>2011</th>\n",
" <th>2012</th>\n",
" <th>2013</th>\n",
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" <tr>\n",
" <th>Country</th>\n",
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" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>Afghanistan</th>\n",
" <td>Asia</td>\n",
" <td>Southern Asia</td>\n",
" <td>Developing regions</td>\n",
" <td>16</td>\n",
" <td>39</td>\n",
" <td>39</td>\n",
" <td>47</td>\n",
" <td>71</td>\n",
" <td>340</td>\n",
" <td>496</td>\n",
" <td>...</td>\n",
" <td>2978</td>\n",
" <td>3436</td>\n",
" <td>3009</td>\n",
" <td>2652</td>\n",
" <td>2111</td>\n",
" <td>1746</td>\n",
" <td>1758</td>\n",
" <td>2203</td>\n",
" <td>2635</td>\n",
" <td>2004</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Albania</th>\n",
" <td>Europe</td>\n",
" <td>Southern Europe</td>\n",
" <td>Developed regions</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>...</td>\n",
" <td>1450</td>\n",
" <td>1223</td>\n",
" <td>856</td>\n",
" <td>702</td>\n",
" <td>560</td>\n",
" <td>716</td>\n",
" <td>561</td>\n",
" <td>539</td>\n",
" <td>620</td>\n",
" <td>603</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Algeria</th>\n",
" <td>Africa</td>\n",
" <td>Northern Africa</td>\n",
" <td>Developing regions</td>\n",
" <td>80</td>\n",
" <td>67</td>\n",
" <td>71</td>\n",
" <td>69</td>\n",
" <td>63</td>\n",
" <td>44</td>\n",
" <td>69</td>\n",
" <td>...</td>\n",
" <td>3616</td>\n",
" <td>3626</td>\n",
" <td>4807</td>\n",
" <td>3623</td>\n",
" <td>4005</td>\n",
" <td>5393</td>\n",
" <td>4752</td>\n",
" <td>4325</td>\n",
" <td>3774</td>\n",
" <td>4331</td>\n",
" </tr>\n",
" <tr>\n",
" <th>American Samoa</th>\n",
" <td>Oceania</td>\n",
" <td>Polynesia</td>\n",
" <td>Developing regions</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Andorra</th>\n",
" <td>Europe</td>\n",
" <td>Southern Europe</td>\n",
" <td>Developed regions</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 37 columns</p>\n",
"</div>"
],
"text/plain": [
" Continent Region DevName 1980 1981 \\\n",
"Country \n",
"Afghanistan Asia Southern Asia Developing regions 16 39 \n",
"Albania Europe Southern Europe Developed regions 1 0 \n",
"Algeria Africa Northern Africa Developing regions 80 67 \n",
"American Samoa Oceania Polynesia Developing regions 0 1 \n",
"Andorra Europe Southern Europe Developed regions 0 0 \n",
"\n",
" 1982 1983 1984 1985 1986 ... 2004 2005 2006 2007 \\\n",
"Country ... \n",
"Afghanistan 39 47 71 340 496 ... 2978 3436 3009 2652 \n",
"Albania 0 0 0 0 1 ... 1450 1223 856 702 \n",
"Algeria 71 69 63 44 69 ... 3616 3626 4807 3623 \n",
"American Samoa 0 0 0 0 0 ... 0 0 1 0 \n",
"Andorra 0 0 0 0 2 ... 0 0 1 1 \n",
"\n",
" 2008 2009 2010 2011 2012 2013 \n",
"Country \n",
"Afghanistan 2111 1746 1758 2203 2635 2004 \n",
"Albania 560 716 561 539 620 603 \n",
"Algeria 4005 5393 4752 4325 3774 4331 \n",
"American Samoa 0 0 0 0 0 0 \n",
"Andorra 0 0 0 0 1 1 \n",
"\n",
"[5 rows x 37 columns]"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_can.set_index('Country', inplace=True)\n",
"\n",
"# let's view the first five elements and see how the dataframe was changed\n",
"df_can.head()"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Notice how the country names now serve as indices."
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"#### 5. Add total column."
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
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"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
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" vertical-align: top;\n",
" }\n",
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" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
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" <td>1746</td>\n",
" <td>1758</td>\n",
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" </tr>\n",
" <tr>\n",
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" <td>5393</td>\n",
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" <td>4325</td>\n",
" <td>3774</td>\n",
" <td>4331</td>\n",
" <td>69439</td>\n",
" </tr>\n",
" <tr>\n",
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" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Andorra</th>\n",
" <td>Europe</td>\n",
" <td>Southern Europe</td>\n",
" <td>Developed regions</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>15</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 38 columns</p>\n",
"</div>"
],
"text/plain": [
" Continent Region DevName 1980 1981 \\\n",
"Country \n",
"Afghanistan Asia Southern Asia Developing regions 16 39 \n",
"Albania Europe Southern Europe Developed regions 1 0 \n",
"Algeria Africa Northern Africa Developing regions 80 67 \n",
"American Samoa Oceania Polynesia Developing regions 0 1 \n",
"Andorra Europe Southern Europe Developed regions 0 0 \n",
"\n",
" 1982 1983 1984 1985 1986 ... 2005 2006 2007 2008 \\\n",
"Country ... \n",
"Afghanistan 39 47 71 340 496 ... 3436 3009 2652 2111 \n",
"Albania 0 0 0 0 1 ... 1223 856 702 560 \n",
"Algeria 71 69 63 44 69 ... 3626 4807 3623 4005 \n",
"American Samoa 0 0 0 0 0 ... 0 1 0 0 \n",
"Andorra 0 0 0 0 2 ... 0 1 1 0 \n",
"\n",
" 2009 2010 2011 2012 2013 Total \n",
"Country \n",
"Afghanistan 1746 1758 2203 2635 2004 58639 \n",
"Albania 716 561 539 620 603 15699 \n",
"Algeria 5393 4752 4325 3774 4331 69439 \n",
"American Samoa 0 0 0 0 0 6 \n",
"Andorra 0 0 0 1 1 15 \n",
"\n",
"[5 rows x 38 columns]"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_can['Total'] = df_can.sum(axis=1)\n",
"\n",
"# let's view the first five elements and see how the dataframe was changed\n",
"df_can.head()"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Now the dataframe has an extra column that presents the total number of immigrants from each country in the dataset from 1980 - 2013. So if we print the dimension of the data, we get:"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
},
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"data dimensions: (195, 38)\n"
]
}
],
"source": [
"print ('data dimensions:', df_can.shape)"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"So now our dataframe has 38 columns instead of 37 columns that we had before."
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"text/plain": [
"['1980',\n",
" '1981',\n",
" '1982',\n",
" '1983',\n",
" '1984',\n",
" '1985',\n",
" '1986',\n",
" '1987',\n",
" '1988',\n",
" '1989',\n",
" '1990',\n",
" '1991',\n",
" '1992',\n",
" '1993',\n",
" '1994',\n",
" '1995',\n",
" '1996',\n",
" '1997',\n",
" '1998',\n",
" '1999',\n",
" '2000',\n",
" '2001',\n",
" '2002',\n",
" '2003',\n",
" '2004',\n",
" '2005',\n",
" '2006',\n",
" '2007',\n",
" '2008',\n",
" '2009',\n",
" '2010',\n",
" '2011',\n",
" '2012',\n",
" '2013']"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# finally, let's create a list of years from 1980 - 2013\n",
"# this will come in handy when we start plotting the data\n",
"years = list(map(str, range(1980, 2014)))\n",
"\n",
"years"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"# Visualizing Data using Matplotlib<a id=\"4\"></a>"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Import `Matplotlib` and **Numpy**."
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Matplotlib version: 3.0.2\n"
]
}
],
"source": [
"# use the inline backend to generate the plots within the browser\n",
"%matplotlib inline \n",
"\n",
"import matplotlib as mpl\n",
"import matplotlib.pyplot as plt\n",
"\n",
"mpl.style.use('ggplot') # optional: for ggplot-like style\n",
"\n",
"# check for latest version of Matplotlib\n",
"print ('Matplotlib version: ', mpl.__version__) # >= 2.0.0"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"# Area Plots<a id=\"6\"></a>"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"In the last module, we created a line plot that visualized the top 5 countries that contribued the most immigrants to Canada from 1980 to 2013. With a little modification to the code, we can visualize this plot as a cumulative plot, also knows as a **Stacked Line Plot** or **Area plot**."
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
},
"scrolled": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th>Country</th>\n",
" <th>India</th>\n",
" <th>China</th>\n",
" <th>United Kingdom of Great Britain and Northern Ireland</th>\n",
" <th>Philippines</th>\n",
" <th>Pakistan</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>1980</th>\n",
" <td>8880</td>\n",
" <td>5123</td>\n",
" <td>22045</td>\n",
" <td>6051</td>\n",
" <td>978</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1981</th>\n",
" <td>8670</td>\n",
" <td>6682</td>\n",
" <td>24796</td>\n",
" <td>5921</td>\n",
" <td>972</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1982</th>\n",
" <td>8147</td>\n",
" <td>3308</td>\n",
" <td>20620</td>\n",
" <td>5249</td>\n",
" <td>1201</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1983</th>\n",
" <td>7338</td>\n",
" <td>1863</td>\n",
" <td>10015</td>\n",
" <td>4562</td>\n",
" <td>900</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1984</th>\n",
" <td>5704</td>\n",
" <td>1527</td>\n",
" <td>10170</td>\n",
" <td>3801</td>\n",
" <td>668</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
"Country India China United Kingdom of Great Britain and Northern Ireland \\\n",
"1980 8880 5123 22045 \n",
"1981 8670 6682 24796 \n",
"1982 8147 3308 20620 \n",
"1983 7338 1863 10015 \n",
"1984 5704 1527 10170 \n",
"\n",
"Country Philippines Pakistan \n",
"1980 6051 978 \n",
"1981 5921 972 \n",
"1982 5249 1201 \n",
"1983 4562 900 \n",
"1984 3801 668 "
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_can.sort_values(['Total'], ascending=False, axis=0, inplace=True)\n",
"\n",
"# get the top 5 entries\n",
"df_top5 = df_can.head()\n",
"\n",
"# transpose the dataframe\n",
"df_top5 = df_top5[years].transpose() \n",
"\n",
"df_top5.head()"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Area plots are stacked by default. And to produce a stacked area plot, each column must be either all positive or all negative values (any NaN values will defaulted to 0). To produce an unstacked plot, pass `stacked=False`. "
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
},
"scrolled": false
},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 1440x720 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"df_top5.index = df_top5.index.map(int) # let's change the index values of df_top5 to type integer for plotting\n",
"df_top5.plot(kind='area', \n",
" stacked=False,\n",
" figsize=(20, 10), # pass a tuple (x, y) size\n",
" )\n",
"\n",
"plt.title('Immigration Trend of Top 5 Countries')\n",
"plt.ylabel('Number of Immigrants')\n",
"plt.xlabel('Years')\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"The unstacked plot has a default transparency (alpha value) at 0.5. We can modify this value by passing in the `alpha` parameter."
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"image/png": 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ksLCwqy6LiIiIiIiIyF5TUEqkBZ988gmjRo3abfvixYv5+OOPWbp0KTt37uT0009n/PjxrdZXWFjIq6++yhNPPMHDDz/M3XffzcyZM8nPz+f73/8+AE899RRr167l6aefJhgM0qtXL55//nkuueQS3njjDY444ggFpERERERERKTb05xSInvg3Xff5ayzzsLr9TJgwADGjx/PqlWrWj3utNNOA2D06NGUlZU1W27KlCl4vV4Azj33XJ599lkA/vjHP1JSUpKBMxARERERERHpWgpKibTgsMMO46OPPtptu7W2yfI+n6/Bvmg02mB/MBgEwOv1kkgkmm03Ly8v/fP+++/PgAEDePPNN/nHP/7BxIkT23UOIiIiIiIiItlIQSmRFhx33HHEYjGefPLJ9LYPPviAvn37smDBAhKJBDt27OCdd95hzJgx7L///nz66adEo1Gqqqp48803W20jPz+fmpqaFsvMmDGDH/3oR5x55pnpDCoRERERERGR7kxBKZEWGGN47LHH+Otf/8qxxx7LhAkTmD17NmeddRb/9V//RXFxMSUlJdx0000MHDiQ/fffnzPPPJNJkyYxa9YsRo4c2WobxcXFvPLKKxQXF/POO+80WWby5MnU1tZy7rnnZvoURURERERERLqEaW4YUg9hN2/e3GBDKBRqMHRKpCv5fD4cx2HVqlX8/Oc/54UXXujqLkkW64rnV1FREeXl5Z3apkh76B6VbKd7VLKd7lHJdrpHs9PgwYMBTGvltPqeSJabM2cO8+bNY86cOV3dFREREREREZGM0fA9kSw3a9Ys3n33XcaOHdvVXRERERERERHJGAWlRERERERERESk0ykoJSIiIiIiIiIinU5BKRERERERERER6XQKSomIiIiIiIiISKdTUCoLDR8+vF3lV6xYwQUXXADAkiVLtEqbiIiIiIiIiGQ9X1d3INu5G9dDuDZzFebm4zngwMzV18jkyZOZPHlyh9UvIiIiIiI9Q000gVsdVSaDiHQYBaVaE67FuG7GqrPtCHCtWLGCe+65h379+vHJJ58wevRofvOb32CMYfny5dxyyy0UFhYyatSo9DFPP/00H374IXfccQdLlizh/vvvJxaL0a9fP+bMmcOAAQMydi4iIiIiIrJvstayqTpGtLaKI/qCz2O6uksisg9S0DvLrV69mltvvZXXX3+dL774gpUrVxKJRLj22mt54okneOGFF9i2bVuTx44dO5aFCxeyZMkSpk6dyoMPPtjJvRcRERERke6oKpogFHNZtyPEtppYV3dHRPZRypTKcmPGjGHw4MEAjBgxgrKyMvLy8hg6dCgHH3wwAN/85jf5/e9/v9uxX375JZdffjnbtm0jFosxdOjQTu27iIiIiIh0T9trHaqiDgU5QdZXRBncO9jVXRKRfZAypbJcIBBI/+z1enEcBwBjWk+fvfnmm/nOd77DsmXLuPPOO4lGox3WTxERERER2TfURBPUxhJYa+mT46e81sG1tqu7JSL7IAWluqFDDz2UDRs2sH79egBefPHFJstVVVUxaNAgAJ555pnO6p6IiIiIiHRj20NxKqMOvYJe8oNeogmXXWGnq7slIvsgBaW6oZycHH71q19xwQUXcNZZZ3HAAQc0We7qq6/msssu4+yzz6awsLCTeykiIiIiIt1NKJ6gOprAdS0Bn4dcvxe/11BWoVEXIpJ5xvbsNEy7efPmBhtCoRB5eXnp392N66EdK+a1KjcfzwEHZq4+2af5fL70kE2R1jR+fnWGoqIiysvLO7VNkfbQPSrZTveoZJsNFVE2VEbJ8RqCfg99+vTh003lxBOWU4f3bdM0IiKdSc/R7JSaG7vVB4YmOm+FAkgiIiIiItITRB2XiohDPGHpk+NNb8/3e9gUjlETS9ArqI+QIpI5Gr4nIiIiIiIilIccauMJ8v0NPybm+j0YY9hYGeuinonIvkpBKRERERERkR4unrBUhB0icZfcQMOPiV6PoVfQw8ZqBaVEJLMUlBIREREREenhdoTi1MQS5Hib/oiY5/dQFXYIxxOd3DMR2ZcpKCUiIiIiItKDJVzLzrBDKO6SH2w+KGWBLdXxzu2ciOzTFJQSERERERHpwXaGHUKxBAGvaXZ1Pb/XQ17Aw4bKaCf3TkT2ZQpKZaFt27Zx+eWXc+yxx3LSSScxc+ZMfv/733PBBRc0Wf6aa67h008/7eReioiIiIhId+daS3koTnXMpaCZLKk6+QEvu0IOjms7qXcisq/Tep6tWF8RoTaWuXHT+QEvB/bNaXa/tZaLL76Y6dOn89BDDwGwevVqli5d2uwxd999d8b6JyIiIiIiPUdFJEEk7uLzgKeZLKk6eX4P26xlW02Mwb2DndRDEdmXKVOqFbWxBK4lY39aC3C99dZb+P3+BllRI0eOZNy4cYRCIS655BJOOOEEZs2ahbXJbyimTZvGqlWrABg+fDi//OUvmTRpElOmTGH79u0ALFmyhClTpjB58mTOPffc9HYREREREemZrLVsr41TGU3QO8fbavmg1xD0GQ3hE5GMUVAqy3zyySeMGjWqyX2rV6/m1ltv5fXXX+eLL75g5cqVu5UJhUIcddRRvPbaa4wfP54nn3wSgLFjx7Jw4UKWLFnC1KlTefDBBzv0PEREREREJLtVRROEYi4eWs+SAjDG0CvgZXuNg2s1hE9E9p6G73UjY8aMYfDgwQCMGDGCsrIyxo4d26BMIBCguLgYgFGjRvHGG28A8OWXX3L55Zezbds2YrEYQ4cO7dzOi4iIiIhIVtle61AVdejdylxS9eX5PZSHHCrCDoV5/g7snYj0BMqUyjKHHXYYH330UZP7AoFA+mev14vjOLuV8fl86RUz6pe5+eab+c53vsOyZcu48847iUaVcisiIiIi0lPVRBPUxhJYa/F52/6xMMfvwefRED4RyQwFpbLMcccdRywWSw+7A/jggw94++2396reqqoqBg0aBMAzzzyzV3WJiIiIiEj3tj0UpzLq0CvY+lxS9XmMoVfQy5fV8Q7qmYj0JApKZRljDI899hh//etfOfbYY5kwYQKzZ89mv/3226t6r776ai677DLOPvtsCgsLM9RbERERERHpbkLxBNXRBAnXEvC1/yNhnt9DbSxBTTRzq5SLSM9kbM+eoM5u3ry5wYZQKEReXl769/UVkVZXzGuP/ICXA/vmZKw+2bf5fL4mh2mKNKXx86szFBUVUV5e3qltirSH7lHJdrpHpStsqIyyoSJK0GPICbQclOrTpw+VlZUNtiVcy5qdUUYMzOWrAzr3/x4ijek5mp1S82G3uoKCJjpvhQJIIiIiIiKyr4g6LpVhB8e19Mlp39C9Ol6PoVfQw8aqmIJSIrJXNHxPRERERESkhygPOdTEE+TuwbC9+nL9HqoiDlFHQ/hEZM8pKCUiIiIiItIDxBOWirBDJO6S18qwvdbk+z0kLJrwXET2ioJSIiIiIiIiPcCOUJyamEOOd+8/Bvq9HvL8HjZUxjLQMxHpqRSUEhERERER2cclXMvOsEMo7pIfzMzHwIKAl52hOAm3Ry+eJSJ7QUEpERERERGRfdzOsEMoliDg9WBMqwtitUlewEPctZSHNIRPRPZMpwalSkpKvCUlJf8oKSl5KfX7QSUlJe+UlJR8VlJS8nRJSUkgtT2Y+v3z1P4D69Xx09T2T0pKSk6pt/3U1LbPS0pKbujM88qksrIyJk6c2GDb7Nmzefjhh1s8btWqVdx8880ArFixgpUrV7a77XHjxrFz584Wt3/44YeMHz+e1atXs2TJEubMmdPudpqyYsUKLrjggozU1Raff/45xcXFTJ48mfXr1zfYV1tbyw033MCxxx7L5MmTOfXUU3nyyScz1vajjz5KOBxuct+0adM4/vjjKS4u5sQTT2TevHnN1nPNNdfw6aefAnD//fe3qe2ZM2futqRvR2ru3p09ezaHHHJIg6Vbhw8f3u766593U++djtLce6Ul06ZNY9WqVV3WvoiIiPRcrk0GjmpiLgUZypICCHoNQZ9h/a5IxuoUkZ6lszOlrgT+Ve/3O4F7S0tLhwO7gItT2y8GdpWWlh4K3JsqR0lJyRHAt4ARwKnAg6lAlxd4ADgNOAKYkSq716oqHHZsj2fsT1WFk4lu7eZrX/sat912GwB/+9vfeP/99zPexj//+U8uvfRSHnroIUaOHMnkyZOZNWtWxtvpDK+88gqnnHIKS5Ys4cADD2yw75prrqFPnz68+eabLFmyhCeffJKKiord6kgk9mylkccee6zZoBTAnDlzWLp0KS+++CK33347sdju4/QTiQR33303hx12GAC/+c1v2tT2/Pnz6dOnzx71O9MKCwt55JFH9uhYay2u67b5vNvCcfbuvVnXJxEREZFsUxFJEIm7eDzgyVCWFIAxhoKAl221Dq7VED4RaT9fZzVUUlJyAHAGcAfwk5KSEgNMBL6dKvI74OfAQ8DU1M8AzwJzUuWnAn8sLS2NAutKSko+B8amyn1eWlq6NtXWH1Nl/7m3/Y7HLZl8vsbje1fZtGnTOPLII1mxYgWVlZXMnj2bcePGsWLFCh5++GHuuOMO5s+fj9fr5bnnnuP222/n0EMP5YYbbmDTpk0A3HrrrRxzzDHs3LmTK664gh07djBmzBhsCyf62WefcdVVV3H//fdz5JFHAvD000/z4Ycfcscdd3DVVVfRq1cvVq1axfbt27npppuYMmUKruty00038fbbbzNkyBCstZx77rlMmTKF5cuXc8stt1BYWMioUaPSbe3atYurr76aDRs2kJOTw69+9SuOOOIIZs+ezYYNG9i2bRtr167llltu4e9//zvLly9n0KBBPPHEE/j9/gb9Xr16NTfccAORSIRhw4Yxe/Zs3n//fR577DG8Xi9vv/02zz77bLr8+vXr+eCDD3jggQfweJIx2/79+3PFFVcAyYyue+65h/3224+PP/6Y119/neeee465c+cSi8U48sgj+cUvfoHX6+WGG25g1apVRCIRzjjjDK655hoef/xxtm7dyvTp0+nXr1+DthsLhULk5eXh9XqBZCbRpZdeyl/+8hd+9rOf8atf/Yqbb76ZRYsWEYlEKC4u5vDDD2fOnDl897vfZfPmzUSjUS6++GLOP/98IJlh8/LLL1NbW8v555/P2LFjee+99xg0aBBz584lNze3QR+WLFnC/fffTywWo1+/fsyZM4cBAwYwe/ZsNm3axIYNG9i0aRPf+973uPjiZEz5vvvu49lnn2Xw4MH079+f0aNHN3l+3/rWtygtLeUHP/gB/fr1a7DvkUce4emnnwZgxowZXHLJJZSVlXH++edz7LHH8v777zNixIgG53399deTSCS49tprdzun9evXc9NNN7Fjxw5yc3O56667OPTQQ7nqqqvo27cvq1evZtSoURQUFDR7Xk1p3Ke5c+eyZs0a7r77bmKxGMOGDePee+8lPz+/wXFN3Rt1r8/06dNZunQpjuPwyCOPcOihh7brvSoiIiJSn7WW7bVxKqMJ+uV6M15/vt/DjpBDZcShX66/9QNEROrpzEypXwPXAXWpBP2BitLS0rr0hI3A/qmf9wfKAFL7K1Pl09sbHdPc9n2S4zgsWrSIW2+9lXvuuafBviFDhjBz5kwuueQSli5dyrhx4/jZz37GJZdcwuLFi3n00UfTH4Dvvfdexo4dy5IlS5g8eXI6aNWU7373u9x+++2MHTu22TJbt27lxRdf5He/+x2/+MUvAFi8eDEbN25k2bJl3H333ekMrkgkwrXXXssTTzzBCy+8wLZt29L1zJ49m5EjR/Laa69xww03cOWVV6b3ffHFF8ybN4+5c+fywx/+kGOPPZZly5aRk5PDsmXLduvTVVddxU033cRrr73GV7/6Ve655x5OPvnk9DVqHBT69NNPOeKII9IBqaZ88MEHXH/99bz++ut89tlnLFiwgBdffJGlS5fi9Xp5/vnnAbj++ut5+eWXee2113j77bf55z//ycUXX8x+++3HM88802xAatasWUyaNIkTTjiBn/zkJ+mgVCgU4vDDD+ell15q8DrceOON5OTksHTp0vRwytmzZ/PKK6+wePFi5s6d2+RQr3Xr1nHhhReyfPlyevfuzeLFi3dZGRNyAAAgAElEQVQrM3bsWBYuXMiSJUuYOnUqDz74YHrf559/zpNPPsmiRYu45557iMfjfPjhhyxYsIAlS5bw2GOPtThcLT8/n29961s8/vjjDbZ/+OGHlJaW8tJLL7Fw4UL+8Ic/sHr1agDWrFnDtGnTWLJkCffee+9u593cOV133XXcdtttvPLKK9x888389Kc/Tbe3du1ann76aW655ZZmz6sl9fuUl5fHfffdx9NPP82rr77K1772NX7729/udkxT90adwsJCXn31VWbOnJke+tie96qIiIhIfVXRBOG4i4fMZknVyfF78HkMX1RoFT4Rab9OyZQqKSmZAmwrLS19v6Sk5KTU5qaeiLaVfc1tbyqC0GQqQUlJyaXApQClpaUUFRU12L9161Z8vv9cFq/XzWimlDE0qL+xun31y3g8HrxeLz6fD2MMZ555Jj6fjyOPPJKNGzfi8/nwer0YY/D5fHg8HjweT7qON954g88++yxdX01NDZFIhHfeeYe5c+fi8/k49dRT6du3b7qdhn02nHDCCfzxj39k0qRJ6SCJ1+tNt+PxeDj99NMJBAIcccQRbN++HZ/Px3vvvcf//M//EAgEGDx4MN/4xjfwer2sX7+eYcOGpYefTZ8+nfnz5+Pz+Vi5ciWPP/44Pp+Pk046iR//+MeEQiE8Hg8nn3wyubm5jBo1Ctd1KS4uxhjDEUccwaZNmxr0vaqqiqqqKo4//nggmXHzve99r8lrVP9a111HSAYDFi5cSHl5OR9++CFer5cjjzySgw8+GEhmTn300UecccYZQDLYNnDgQHw+H4sXL2b+/Pk4jsO2bdtYs2YNo0ePxhjT5HWuu9YPPfQQY8aMoby8nClTpjBhwgSGDBmC1+tl6tSp6evfuJ769T3xxBPpgMzmzZvZsGEDAwcOTB/j9XoZOnQoY8aMAWDMmDG7XT+Abdu28YMf/ICtW7cSj8cZOnRo+voVFxeTn59Pfn4+AwYMYNeuXaxcuZLTTz+dXr16AXDKKac0e509Hg+XXnopJ598cjoTre6eOf300+nduzcAZ5xxBitXruSUU07hgAMOYNy4cQ3qqqu7uXOKRqO8//77fP/7308fE4vF0ucxdepUgsFgul9NndfgwYN3e53qrmP9Pn3wwQd89tlnnHXWWQDE43GOPvro9Hu37vVq6d6o//5+5ZVX8Pl8bX6vBoPB3Z5pHc3n83V6myLtoXtUsp3uUelo5VtrcP0e9u/txe9tf6aU1+ttdfqHr5gI1QlX97J0CT1Hu7fOGr73DeB/SkpKTgdygN4kM6f6lpSU+FLZUAcAm1PlNwJDgI0lJSU+oA+ws972OvWPaW57A6Wlpb8F6lIXbP2JlgGi0Wj6Qz8k5+7JdFCqpblrevfuTWVlZYMyO3fuZP/998dxHKy1eL3e9H7HcXAcJ9VPi+M4uK6L67rpMq7r8qc//Wm3oVl1c+DUbyuRSOzWP2stt912GzfccAPXXnstv/rVr9Jl6453XRefz5c+trm+WGsbtFG/j/WPqV+m7hjXdfH7/entPp+vwbxO8Xi8Qd/rrlf9tprrV51DDjmEjz/+mFgshsfj4Yc//CE//OEPGT58ePo65+bmpo9LJBJMnz69QeYNJLNvHnzwQRYtWkTfvn256qqrCIVC6T40dZ0bX5++ffsyatQoVq5cyVe+8hWCwWCD82nuWq5YsYK//OUvLFiwgNzcXKZNm7Zb24lEgkAgkD7GGLPb9YNkFtall17K5MmT00MX665f/dfC4/EQjUYbvI51r2tT17lue35+PlOnTk1nS9Vd48b3b909kZeXt1td9V+Lps4pFovRu3dvlixZsttxrusSDAYbtNXUeTX1nqi7jvX75DgOxx9/fIOMsrrtdce0dm809f5u63s1Go3S+JnW0YqKijq9TZH20D0q2U73qHSkmmiCTTsjVIXj+BN7NrSuT58+rS6U40YTbK2KsX6Tl4Jg5ocIirREz9Hs1PiL/eZ0yvC90tLSn5aWlh5QWlp6IMmJyv9cWlp6HrAcmJYqdiHwp9TPC1K/k9r/59LSUpva/q3U6nwHAcOBd4GVwPDUan6BVBsLOuHUMi4/P5+BAwfyxhtvAMn5lZYvX97isLmm6qipqUn/fuKJJ/LEE0+kf68bCjV+/Pj0ULM///nPTU7mXcfj8fDAAw+wdu1a7rrrrjb35ZhjjmHRokW4rsv27dv529/+BsChhx7Khg0b0ivfvfjii+lj6vdrxYoVFBYWpjNv2qN379706dOHd955B4DnnnuO8ePHt3jMQQcdxOjRo7nzzjvTAa9IJNLsHD7HHXccL730UvohuGvXLjZu3Eh1dTW5ubn07t2b7du3s3z58vQxBQUFDV6f5oTDYVavXr3bROxN8fv96WFm1dXV9OnTh9zcXD7//HP+/ve/t3p8c6qqqhg0aBAAzzzzTKvlx48fzyuvvEI4HKampoalS5e2esxll13G73//+/T1Hj9+PK+++irhcJhQKMQrr7yyW3ZUnfrn3ZxevXoxZMgQFi5cCCQDSh9//HGr/doTRx99NCtXrmTdunVA8jVcs2ZNgzIt3RvNac97VURERKROeShOVdShVwcHinL9HgywqSraoe2IyL6n0yY6b8b1wB9LSkpuB/4B1E0u8zgwPzWR+U6SQSZKS0s/LikpKSU5gbkDXFFaWpoAKCkpmQW8CniBuaWlpR3zqbMT3Hfffdx444387//+LwA/+clP2hSYqFNcXMxll13Gq6++yu23385tt93GjTfeyKRJk3Ach3HjxnHnnXfy4x//mCuuuIJTTjmF8ePHs//+LU/DFQwGmTt3Lt/85jcZMGDAbplXTTnjjDN48803mThxIgcffDBHHnkkvXv3Tk9gfsEFF1BYWMjYsWP597//nT7fn/zkJ0yaNImcnBx+/etft/ncG/v1r3+dnuh86NChu83B1ZS7776b2267jW984xv07duXnJwcbrrppibLHnbYYVx33XXMmDEDay0+n4877riDo48+mpEjRzJhwgSGDh3KMccckz7mvPPO4/zzz2fgwIFNzis1a9YscnJyiMVinHvuuc1OFF7feeedx6RJkxg1ahSzZ89m/vz5TJo0iYMPPpijjjqq1eObc/XVV3PZZZcxaNAgjjrqKMrKylosP2rUKM4880wmT57c5FC7phQWFnLqqafy6KOPpuuYPn16ekjkjBkzGDlyZJNt1z/v66+/vtk25syZw09/+lPuu+8+HMdh6tSpjBgxotW+tVf//v259957ueKKK9KrJl533XUccsgh6TIjRoxo9t5oTnvfqyIiIiKheIKqaIKEawn4OjYXwecx5Ac9bKyKcfiAvA5tS0T2LaaHr+JkN29uOMqvbsWzOlUVzl6vmFef32/o3berY4Gdq7a2lvz8fHbu3MmUKVN48cUXGThwYFd3q1uoPyRSpDWNn1+dQenSku10j0q20z0qHWVDZZSyiigBjyEnsOdBqbYM3wOoiDhsr4kz5fB+BHwawiedR8/R7JQavtfq6go9KzqyB3paAKkjXHjhhVRWVhKPx7nyyisVkBIRERER6UBRx6Uy7BB3Lb1zOidAlOf3kLDwZU2cYX0VlBKRtlHERTpcU0PURERERESkY5SHHGriCXI7eNhefQGvhzy/h7KKGMP65nRauyLSvXXeU0pEREREREQ6VDxhqQg7hGMueXsxbG9P5Ae8lIfiJNwePUWMiLSDglIiIiKSUeGQS3Vloqu7ISLSI+0IxamJOeT6Wp3KJePyAx7irqU81PLqyCIidRSUEhERkYxxXUuo1mVneRwn7nZ1d0REepSEa9kZdgjHXfKDnT+vU9BrCHoNGyoind62iHRPCkqJiIhIxoRDLvGYSzhkqa1RUEpEpDPtDDuE4gn8Xg/GdH6mlDGGgqCXrbUOPXyVdxFpIwWlstCQIUMoLi5m4sSJXHrppYTDYcrKypg4cWKT5e+66y7++te/AjBt2jRWrVoFwMyZM9u0fGtT5s2bxzPPPLNnJyAiIj2S61oiYUs8DsEcqKrSED4Rkc7i2uSwuZqoS0Gw6z7m5fk9hOMuFRH9GyAirdPqe60oLy8nGo1mrL5gMEhRUVGLZXJycli6dCkAs2bNYt68eZx++unNlr/22mub3D5//vw97ucFF1ywx8eKiEjPVJcl5fFa/MZDJGxxXYvH0/nf1ouI9DQVkQSRuIvHA54uyJKqk+v34PPAxsoo/XL1cVNEWqZMqVZEo1GstRn7094A19ixY1m/fj0AiUSCa6+9lgkTJjBjxgzC4TAAV111FS+99NJux44bN46dO3dSVlbGCSecwJVXXsmkSZO45JJL0seOGzeOO+64gzPOOIMzzjiDdevWATB79mwefvhhIJl9VVfmuOOO45133kn357bbbuP0009n0qRJ6SDY1q1bOeecc9LZXnXlRURk3+Um/pMlFQgY/H6TnF+qRt+Ui4h0NGst5bVxKqMJ+uR0/lxS9XlSQ/g2V8e6tB8i0j0oKJXFHMdh+fLlfPWrXwVg3bp1XHjhhSxfvpzevXuzePHiNte1Zs0azj//fF577TV69erF7373u/S+goICFi1axEUXXcQtt9zSbF8WLVrErbfeyj333APAU089Ra9evVi8eDGLFi3iD3/4Axs2bOCFF17gxBNPZOnSpSxdupQRI0bsxVUQEZHuIBxOZkl5vck5RTxe8HmhukrzSomIdLSqaIJQ3MXQtVlSdfL9XmpiCWpj+mJCRFqmoFQWikQiFBcXc9ppp7H//vszY8YMIDnX1MiRIwEYPXo0ZWVlba5z8ODBHHPMMQCcc845vPvuu+l9Z511Vvrv999/v8nj64YPjh49mo0bNwLwl7/8hWeffZbi4mKmTJnCrl27WLduHWPGjKG0tJTZs2fzr3/9i4KCgnZeARER6U7chCUSSmZJ+QPJbcYY/EEP4ZCryW5FRDpYecihKuLQqwvnkqov1+/BWthcnblpUESakkgkCIVC+r9GN6ZBvlmo/pxS9QWDwfTPXq+XSKTtS602Xn2j/u/N/VxfIBBIt+s4Tnr77bffzkknnbRb+eeee45ly5Zx5ZVX8v3vf5/p06e3ua8iItK9hMMu8fh/sqTq+PyGcK1LJOKSm9u1w0lERPZVNbEENdEEFvB7syMo5fMYCgIeNlbEGN4/r6u7I/uw6upqdu3aheM4FBUV4fMpxNHdZMdTSzrcpk2beO+99wD405/+lM6aAliwYEH676OPPrrNdZ544onMmzePeDwOJIcIhkIhNm7cSFFREeeddx7f+ta3+OijjzJ4JiIikk2aypKq4/OBxwvVFRrCJyLSUcpr41RFHQoCXT9sr778oJddUYeYoyF80nEikQg1NTVs2rSJ9evXU1NTo6ypbkZhxB5i+PDhPPPMM9xwww0cdNBBXHjhhel9sViMKVOm4LouDzzwQJvr/Pa3v01ZWRmnnnoq1loKCwuZO3cuK1as4OGHH8bn85Gfn899993XEackIiJZoG7FPZ+n6azcQNBDqFZBKRGRjhCOu1RFEyRcSyDLMkTy/B4SLmypiTO0r7JlJfMcxyEej+Pz+SgqKqKiooK1a9cycOBAZU11I6aHRxHt5s2bG2wIhULk5f0nxbS8vLzdK+a1JBgMUlRUlLH62qKsrIwLL7yQP//5z7vtGzduHC+//DKFhYWd2idpG5/P12C4pEhLGj+/OkNRURHl5eWd2qZkj0TCUrEjQajWJTe/6W/oY1GX2mqXAw8J4u+CuU50j0q20z0qe2NDZZQNFRGCHg85gY55xvbp04fKyso9OvaLigh9g36OO7B3hnslAjU1NWzdupWCgoL06J1QKER1dTV9+vRh0KBB5OfnNztFjXSswYMHA7R68RU6bEVnB5BERES6i3DIJRZz8bXwBbjPbwBDdU2CwiyZgFdEZF8QdVwqww5OAvrkZOfztSDgY0coTsK1eD0KDEhmRSIRYrEYubm56aBUXl4ewWBQWVPdSHY+vSSjhgwZ0mSWFMA777yjLCkREWm3RMISDVscB/w5zX/Q8HgMgSBUV2oIn4hIJpWHHGrjLjn+7P1Il+f3EHMtO0Pxru6K7GOstUSjUay1u2VCeb1e+vfvT05Ojuaa6gay9wkmIiIiWSudJdWGLx59fkMsYnEcBaZERDIhnrBUhB3CMZf8Dhq2lwk5PkPQa1hf0fZVw0XaIhaLkUgk8Hiav//z8vIoKiqitraWtWvXsnXrVk2NkoWy9wkmIiIiWalBllQbVnvy+Q0WCNUoKCUikgk7w3FqYg7BLB+RZIyhIOhlW62jLBXJqEgkQiQSIRAItFhOWVPZT0EpERERaZdwyCUaS+Bt44chr9fg91uqK7UsuIjI3kq4lh0hh3DcpSCY/ava5fk9hFKrBIpkSiQSIZFItBqUqlOXNRUKhZQ1lWUUlBIREZE2SyQskbAl4UCgDVlSdfwBD5GIxXX1zaSIyN7YGXYIxRP4vKZbrCqW6/fg9SRXChTJhEQiQSwWa/dxXq+XwsJCcnJy2Lx5M+vXr6e6ulpZU11MQaksNGTIEIqLi5k4cSKXXnop4XC4xfLDhw/fbduWLVu45JJLmj2msrKSJ554Ym+7KiIiPUw45BKPJfD62vdByOc3JBxLOKQhfCIie8q1ySyp6qhLr26QJQXgMYZeAS+bq9ofRBBpSjQaxXGcPV5RLy8vj/79+xMKhVi3bp2yprpYlo9C7nre6BaMm7mJ+awnh0RwUItlcnJyWLp0KQCzZs1i3rx5XHbZZe1qZ9CgQTz66KPN7q+qqmLevHlcdNFF7apXRER6rrosKceB3Lz2BaW8XvD6oKoyQX5B9/ggJSKSbSoiCcLxBF5PMtjTXeQFvHxZFSMUT5Dn178Bsnfq5pPKy8vb4zrqsqZCoRCbNm2ipqaG/fbbj4KCgm6RgbgvUaZUK4wbwVg3c3/aGeAaO3Ys69evB+C73/0up556KhMmTOD3v//9bmV37tzJmWeeyWuvvUZZWRkTJ04E4JNPPuGMM86guLiYSZMmsXbtWv7v//6PL774guLiYm677TZqa2spKSnhlFNO4eSTT+bVV18FoKysjBNPPJFrr72WCRMmMGPGjFYzt0REZN8Urk1mSfnamSUFycluAwEPkVpXafIiInvAWkt5bZzKaILe3SRLqk6eP/mx80tlS8lestYSjSaHgnq9e/8+qD/XlLKmuoYypbKY4zgsX76ck046CYDZs2fTr18/wuEwZ5xxBqeffjqFhYUAbN++ne985ztcd911nHDCCZSVlaXrmT9/PhdffDHnnHNOeunMG2+8kU8++SSdkeU4Do8//ji9evVKB7cmT54MwLp163jggQe46667uOyyy1i8eDHf/OY3O/diiIhIl0o4lkjE4sQhN3/PvkH0+Q2RkEssYgnm6ltIEZH2qI4mCMVdDOD1dK9nqM9jyA942FAZ5ZD+uV3dHenG4vE48Xg8o3Uqa6prKSiVhSKRCMXFxQCMGzeOGTNmADB37lxefvllADZv3sy6desoLCzEcRzOPfdc7rjjDr7+9a/vVt/RRx/N/fffz5dffslpp53GwQcfvFsZay2//OUveeeddzDGsGXLFrZv3w4k57gaOXIkAKNHj24Q8BIRkZ4hlJpLyuff8/+c+fyAB6qqEgzIVbK2iEh7bA85VEUcegW75/MzP+ClPBQn5rgEfN3zHKTrRaNRYrFYm1fda4+8vDyCwSCVlZWsW7eOgQMHUlRUtMdzV0nb6OpmofpzStVZsWIFb7zxBgsXLiQ3N5dp06Y1SFscNWoUr7/+epNBqbPPPpsjjzySZcuWcd5553HXXXcxbNiwBmWef/55duzYwcsvv4zf72fcuHHp+oPBYLqc1+slEsncHFsiIpL9Eo4lupdZUpAawhf0UFvtMmC/DHZQRGQfVxNLUBNNYAG/t3sGdPIDHrbWwLbaGAf0yenq7kg3FYlEiMfjFBQUdEj9jbOmqqurGTRokLKmOlD3fKL1QNXV1fTp04fc3Fw+//xz/v73v6f3GWO45557WLNmDXPmzNnt2C+++IJhw4Zx8cUXU1xczL/+9S/y8/OpqalpUH9RURF+v5+33nqLjRs3dsp5iYhI9stEllQdvx/iMUs8plX4RETaqrw2TnXUoSDQfT8UB7wecv2GLyo0r5TsGdd104kTHR0gqptrKhwOs3btWs011YGUKdVNnHTSScyfP59JkyZx8MEHc9RRRzXY7/V6efDBB7nooosoKCjg5JNPTu9bsGABzz//PD6fj4EDB/LjH/+Yfv36ccwxxzBx4kQmTJjAFVdcwYUXXshpp53GiBEjOPTQQzv7FEVEJAs5jiUadvc6S6qOz2+wWGqqE/Trr+/GRERaE467VEUTOK4l0M2HERUEvJTXxkm4ttvNiyVdLxqNkkgkOi1jqXHWVFVVFV/5yleUNZVhpoevgGM3b97cYEMoFGqwtKQ3uqXdK+a12KAnh0RwUMbqk32bz+dTRF7arPHzqzMUFRVRXl7eqW1K56quSlBd5WCMwZ+BTCmAmqoEXq9hyEHB1gvvJd2jku10j0prNlRGKauIEPR4CAY6P5jfp08fKisrM1JXOO7yRUWUkw7qw4B8f0bqlJ6joqKCLVu2kJOT02Cep0zeo81JJBJUVlZirWW//fajf//++P26h1syePBggFb/89i9Q+2dQAEkERHpqeqypBIO5OZl7htBf8AQrrU4jotPk92KiDQrlnCpDDvEE9A7p/s/L3N8Br/X8EVFREEpabdIJILrul0y8Xhd1lQ4HFbWVIZ1/yebiIiIdIhwyCUWczMyl1R9Pr/BtRCq0bxSIiItKa91qI255Pj3jY9txhh6Bb1sq3Ho4SN2pJ0cxyEej3d5ACg3N5cBAwYQiUTSc03F4/Eu7VN3t2883URERCSjHMcSSWVJZWrYXh2v1+DzW2qqEhmtV0RkXxJPWHaFHcJxl/wuGLbXUfL8HmrjCaqi+jdA2q5u1b2uyJJqzOPxUFhYSF5eHps2bWLdunVUV1cr0LqH9p2nW4boRhKR7krPL8mkcK1LPJr5LKk6fr+HcNhiXd23IiJN2RmOUxNzCHb9Z/CMyvV58Bgoq4x2dVekG4lGo0SjUXJycrq6K2lNZU0lEgq2tpeCUo14PB5NLC0i3Y7jOHg8eqRLZjiOJRJxSSSS8z91BL/f4DqWUFhD+ERE6nOtJZZw2RFyCMVdCoLeru5SRnk9ht5BL5urY13dFekmrLVEo1GstV0+fK+xxllTmzZtUjyhnfaxuPvey8nJIRKJEI1Gs+6Gl54nGAwSjepbJGmZtRaPx5NV3xxJ9xaudYl1YJYUgNcHHh9UVyTIz9+3PnCJSM9mrcW1kLCWhJv823UtjoWEa3HrbU/+Do5rU+WS262FqJPA7zX75GeSPL+HLdVxwvEEuX79GyAti8ViWf8FbG5uLl6vl23bthGPxxkyZAiBQKCru9UtKCjViDGG3Nzcru6GCKBlokWk89VlSbkJCOZ03AchYwz+gIdwrZuV33yKSM9WFzhyrW0QXEq49X6uF0RqHGSqO96SDEI5riWegITrEnctYDBA3aMvucViMWAtHo/B7/HQO2ffDNjkBbxAnM1VMQ7pr89e0rK6pJFsD/IEAgGKiorYuXMnjuMwbNgwfWncBgpKiYiISFq41iUeczM+uXlT/H5DNOwSi1mCQQWlRDpbxHGpiiQnnO4d9DKwwN/VXepy4bjL+ooI8UQyWykZlCIdWEoGl5L7LBaPMVgLxiTDSpDchzF4AK8HPMbgMRDwGrx+Lz4PeLM446Mz+DyGvICHMgWlpA2i0SiO43SL5BGfz0f//v3ZtWsXa9asYdiwYRQUFHR1t7KaglIiIiICgBP/z1xSgbyODxL5/ICB6soEwYE9+wOaSGcJx12qog6VkQQRx6U2lqAm5hJPuJx0UJ9UBkvPZK1lU1WMnSGHsJPAYPB4wIPBawxejyXX56EgkAyqKMNz7+QHvJSH4sQcl4BP/wZI0xKJRLebzsTr9aYDU2vXrmXYsGH06dOnq7uVtRSUEhEREQBCqSypQCdkSUFyCF8g6KGmyqVoYKc0KdIjheIJqiIJKqMJInGX2niCiGMxWPL8XoryvKyvSLB6W4hj9i/oscGWnWGH6mgCx3XZryC7hwl1GmvB7ZjVxPL8HhIubK+Ns3+fYIe0Id1fXZZUNs8n1RRjDP369aOyspK1a9cydOhQCgsLe+zztSUKSomIiAhO3BKNprKkOnEond8PoRqLE3fx+bvXfzhFspW1llDcpSqaoDKSIOq41MQSRBMuHmPI83kY0GiBgUEFfsoqogzrm8N+PXAYXzzhsqUmTmXEoW+uPiLVCezYgn/bBjy9+uPmZXYIUtDnIddv+KIyqqCUNKtuPqnuMHSvMWMMffv2pbq6mvXr1xOPxxk4cGC3C7B1ND1xRUREpNOzpOr4/AZrLTVVCfr213/SRPaUtZbamEtlNEFV1CHqWGqiDnHXYjDk+z30zmk+2FQQ9JIf8PDBlzVMPLgvfm/P+jb/y+o41dEEAZ/B6+lZ594s18VbU0micifBzWXEDj6CRJ/CjDaRH/BSXhsn4Vpdd2lSNBrFWovX232HFvfq1Qufz8fGjRtxHIdBgwbh8ykUU0f/+xMREenh6rKkXAe8nRyU8ngMvgBUV7md2q7IvsC1lupogo1VUf69PcxnOyKs3RVmS3WMyohD0G8oyvfTP99HTqD1//YPKPBTHU3w2Y5wJ/Q+e1RFE1REHMJxl17B7vvBN9O84RqIx4n36kfCtQQ+/RD/9s3JIX0Zku/3Ek1YKiJOxuqUfUc8Hicej+8TQ95yc3Pp168fW7ZsoaysjHg83tVdyhoKz4mIiPRwoVqXWNTFF+ia//T5/YZI2JJwXLya7FakRa611EST80NVR5ND86qjCf5/9u48xLZsP+z7d609nbHme3t4770c5QEAACAASURBVHW/96InxZIsCZxIMgQShHCe84/9RzgZIHYgIEj+SP5JCIaAguNAAiHCkESgGGILEsRBYCyCgzHEwmDsWMh+r/sNt6c71jyccc97DfnjnLp9u7vu7RpO1RlqfaC5XafOOXudql17r/3bv99vaQsCSyuSRLXrTfFDT/KwFfDRacY31kLWr/k+y0Qby8E0iLcWuePPq/x4iM1SzNvfovAiguEpwac/RpQl5TvvwQxKkCJfEHiCZ4Oc7cb9Kxt13izPc8qyXJmsoiiK2NnZ4ezsDKUU7733HlHkSlfdkddxHMdx7rFqmiVl9aSUbh6CQGA0pKnLlnKci2hjGeaK58OCn55kfNbL+ayXcxSXjEtFM5LsNH22mwGRf7NMn/Wahy8FHxwmmBlmxCyqk6QiLhQI3ApwrzIGL43RQiB8H4Sg2nhAub6D9/RjoqePEFV5481IIWiHHodjhb0H+5tzNedBqVUK3Pi+z87ODnEc8/jxY9I0nfeQ5m41Qo6O4ziO41xLlhjK3ODfYXPzL/N8gR9Y4qGmveamJo4Dk0DUeJoRFReTJuWjQmHt5EJ+LZIE3uyDKFII3moFPBsU7A4K3tuszXwbiyJXhtNUMSo02w137HmVl46wVYXyIl5dh1C1NjBBSO1wj6gsKb/9s5ha40bbaoSSflYyLjVrkfs9OBPGGMpyEvhchfK9V3mex/b2Nv1+n88++4z333+ftbW1eQ9rbtztAMdxHMe5p86zpIwF35/vhC8IJVlqscbdKXfuL2Us/UzxtJ/z6CTjs37Ok37GcVKSlJr1yGOnGbDV8G8lIHWuHkg26x4/PErI1WpmMFpr2R9NyvaaobdyF7035cdDbJ5hGs2vfM9EDbK33oP+KdHHH+Iloxttq+5LhIDd4c0zr5zVUZYlSqmlbnD+JlJKtrYmCwc8fvyYXq93b7MFXVDKcRzHce6p8yypYE69pF4VBAKlLXm+mhfAjvM6lTacpRVPzgNRZxlP+jnHcUVWmpeBqI26j3+Lgagv22kEKAM/PkpW8kKpl00ypJQ21AN3SfQFWuFlCQoJ8uKAgA1Csne+jSlywkc/wO+fXntznhS0I4/dUXHt93BWT57n5Hm+UqV7XyaEYGNjgyiKePLkCScnJxhz/+ZB7gjsOI7jOPdQVS5OlhSA54PnwXh4/yZjzv11FJd8uD/icS/jab/gOCnJlWGr4bPT8lmve3caiHqVJz8v4ztNV2tltEpbjuKKQaZYr7tysS/zkxG2LNHh1wQDpEf+8Jso6RN8/AHB4S5c84K6GUjGuSar9LVe76yePM8xxqxMk/PXEULQbrdpt9u8ePGCg4MDtL5ffwcuKOU4juM499BkxT27EFlSMJmUBaEkic1KZmU4zpcVynCSKA7HBaW2bDU8HjQD1us+ckFKyVqhpB5IfnAQo1aotPYwLhkXmsgTeHIxftaLxEtG2Dy/sHTvK4Sk3H6HqrGG//inRHuPQV89iFkPPCywP3IlfA4opaiq6l6V1TYaDdbX1zk4OGB3dxelVutmwJu4oJTjOI7j3DNVaSlLgzF2IbKkzvmBoCoNZbk6F7+O8zonScW4VLRCj7Xa4gSiXiWE4GErYJgbPj3N5j2cmYgLTT9TZJWhVVvNXjU3IVSFzFKU8LnKpWK1vk2x9RD54jG1J48Q5dVK8QJP0AwlL1xQygGKoqCqKqS8X+GKWq3G9vY2p6enPH36lKK4HyWtd5IL1+l0asA/BqLpNv+w2+3+dqfT+dvAvwkMp0/9j7vd7g86nY4A/ibw7wDp9PF/MX2vvwr8N9Pn/41ut/t3po//OeBvA3Xg7wP/RbfbdbNax3Ecx/mSRcuSOhf4ICTEQ0308H5NRJ37pVCGfqbIS8M3aj7DBb7uCD3Jg5bPT08zvrEe0l7i1dGMteyNJ83N25E7xlzEi0dQ5qjw6qsu6sYauR8SHe9SKwuK7/yrmPolsq2mGqFHP1EoY/FdBtu9luc5RVHQarXmPZQ7FwQB29vb9Ho9njx5wvvvv0+9Xp/3sG7VXR2NC+A3ut3uLwO/Any/0+n8+vR7/1W32/2V6X8/mD72F4HvTf/7LeB3ATqdzhbw28CvAb8K/Han09mcvuZ3p889f933b/9jOY7jOM5ymWQiLV6WFICQgjASxLHrK+WstuOkYlxoGuFyZOps1Dw8AT88SDFLXF57klTEhcJaQei7oNRF/GSIKStso3Gt15uwRv72+9jRgOjjH+KNB5d+bTOQVNZyHLtsqfvMWvsyQ+g+le+9yvd9dnZ2yPOcx48fMx6P5z2kW3UnR+Nut2u73W48/TKY/vemM9pfAn5/+rp/Bmx0Op13gH8b+IfdbrfX7Xb7wD9kEuB6B1jrdrv/dJod9fvAX761D+Q4juM4S2pRs6TO+b6gKiyqcoEpZzWdZ0kV2tIIlyMwIoXgrXbAQVyyu8hpXW9QKMNpohgXhvX6cvzc75ooC0SeoaQHXP8cYf2A7O330ZUm/OiH+KeHcIlgZuRLaoHg2WA59zFnNsqyRCl1bwNS56SUbG9vY4zh8ePHDAaDle25eWdH5E6n43U6nR8Ax0wCS//f9Fv/fafT+aDT6fxOp9M5X+LhG8CLV16+O33sTY/vXvC44ziO4zhTVTkJSC1iltS5IBBYA4nLlnJW1FFSEReaZrBcgZFG4LFR8/jwKKVQy/f3uTcqGRWKRiAXsn/XIvCTEeQ5OrpeltQXSI/iwTdQfkTw6U8ID59famW+VuBxkqilzshzbqYoCvI8JwzDeQ9l7oQQbGxs4Ps+T5484fT0dCUDU3dWFN7tdjXwK51OZwP4u51O5xeBvwYcAiHwe8B/Dfx1Lg7N22s8/hWdTue3mJT50e122dnZueIncZy7c5666TiLyu2jy+XspCCKStptibegQSkAQQHWY2dn7cbv5fZRZ5FklcZmY8JGwMP25ILL8zzW19fnPLLLabYNnx6n7OY+v/btrXkP59LOkhJR8wl1wYN29PUvuKeC/iEqCBBb21/IUpFS0mpdvjfUF7RbyGGP+sFTROCj3v8e+MFrn+7XFdlZBvU1dlrud3UflWX5ciW6y1qm4+h1bGxsMBqNODs7o9ls8o1vfAPPW47y78u4806F3W530Ol0/hj4frfb/Z+mDxedTuf/AP7L6de7wLdeedk3gf3p4//Wlx7/4+nj37zg+Rdt//eYBMAA7Onp6XU/iuPcup2dHdw+6iwyt48uj7I0DHuaIjfUGoudoVGUhuHQ0t4okDdsduv2UWeRPB8U7I0KAiEYmslqduvr6wyHw6955eJoSs0Pn8VsiILt5uuDC4tCGcsnpxlHScV6JBkO83kPaSHJIiPqnVJWFSpJv/C9VqtJHCfXf3MvwmttE330Y+zZKcW3fw4bXdxI3VhLmRd88PiAX3n3/jW5vu+MMRwfH1+5h9KyHUevy/M8fvKTn3B6esq7776L7y/2whPvvvvupZ53J7PSTqfzYJohRafTqQO/CTya9oJiutreXwZ+NH3JHwF/pdPpiGlD9GG32z0A/gHwFzqdzua0wflfAP7B9HvjTqfz69P3+ivA37uLz+Y4juM4yyBLDEVuCZYgGz4IBEZb0ljPeyiOMzNZZRjkikJZakvSS+oi7VBSCyT/8jBBmcUvIzmMS8alJpQC31ven/tt8+IRZBlqFqV7F9C1Jvnb70H/lNonH+ClFwcdpBC0Qo+DuFrJMiXnzfI8Rym1UllAs1Sv19na2uL4+Jjnz59TlquxKMBdHZnfAf5Rp9P5APgTJj2l/m/g/+x0Oh8CHwI7wN+YPv/vA4+BT4H/HfjPALrdbg/476bv8SfAX58+BvCfAn9r+prPgP/nDj6X4ziO4yy8spj0kgKLtwQrTkkPfB/Go+XrW+M4r3MUl4wKTXvJekl9mRCCh82AYa553M/mPZw3SkpNL1UkhaFdcxe5r2UtfjJEGwPhxRlMs2CCiPyt9zBpSvjoh3iDswuf1wwkSamJS3dj4r457ycVRa5083XCMGRnZ4d+v8/Tp0/J8+XP/hT3PAJt9/cvrPJznIXgyk6cRef20eUw6CnikSEIlyMoBZClhqq0fOd70Y1W4HH7qLMI0krz6VnOWVqx86WSt2UtOzlLKga55jf/lXVa0eKVkBhr+ayXcxSX1HxJtCTHvnmQWUK094SiKNHtza98/8ble19mDNHZAZ5WqO/8LNXOO/DKcV4by2e9gp9/UOfPPLydzC1nMR0cHDAYDGi321d63bIeR29Ca02v1yMMQ7797W/TbF6z79stmpbvfe0kzh2dHcdxHGeFlcUkuGPt8gSkAPxAoCpLnrtsKWf5HccVo1zTjlYnW2ez4SMFfHCULuRKaWepIi40xuICUl/DT0ZQZOjaHV3USkmx8y5VrYH/6Y8J956C/jwrypOCdiTZHa9GaZJzOVVVoZS60Y2o+8TzPLa3t1FK8fjx46UOyrkjtOM4juOssDQxFIW9zYqMW+H7kzK+8cAFpZzllpSaUaGpjFmp4IgUgrdaAfujkoMFCx4UynAcVwxyxbor23sza/GSEVpb7rTpoBBUGw8oNx/gPfuE6NlHiOrz/agRSEaZIqtcCd99kec5RVEsfPPuRSKlZGtrCyEET5484ezsbCl7sa3OmdFxHMdxnC/4QpbUkjX4FUIQRpI0cUEpZ7kdJ9Wkl9QKZUmda4QeazWPHxwkFGpx/lYPxiWjQlEPJNJlXbyRl8VQlShvPispqsY6+cNvIg/3iD77MTKfrPzXCCQWOBxXcxmXc/eKoqCqKtdP6oqEEGxsbBBFEU+fPuX4+BhjFud4fBnLNUN1HMdxHOfSXmZJLen8zvehKg1lsVyTK8c5F5eacaFRerWypF71oBlQKMNPT9J5DwWAQa4Y5ppCGZrh6gUCZ+181T1dn18/GhPVyd5+DwZ9oo8/wIuHBJ6kEUpeDIu5jcu5O9ZaimLyu75y+Z61Xyj/vK/a7TbtdpsXL15wfHw87+FcyWqeHR3HcRznnjvPkmIJs6TO+YEABHHsJpvOcjqOK4a5WsksqXO+FDxsBTzuTRq5z5M2loNxyTBXrLmyva9nDH46RlnAn0+m1Dnrh2Rvv4cpCsJHP8Dvn9AMPXqZQpnlK0dyrqYoimv3k/L6J4inH4Nxc4VGo0G73WZvb48sW+zVUV+1nLNUx3Ecx1kgRluGfc14qEliTZ5NAkJGz28ifZ4lFSxplhSAlIIwgnjoMqWc5RMXkywpbSFc0Sypc2uRR+RLfniQoOcYQDiKK5JSIwQESxqMv0teOsZWJcq7w15SbyI98offRHkhwccfst47oNKa43ixepY5s5fnOXmeU6tdrQGmKAvkcIDeewZnJ7c0uuXSaDSQUvLixYu59JeqtOUkqfjo9PJBMddFzHEcx3FuqCwtWarJUosQICUEAUhf4nng+wLPE3geeL5ATv9fytvpdVKcZ0mxvFlS5/xAkMYWpQz+il/YO6vlOKkYFop2uPr7rZg2PX/SL3jSz/mZ7fqdjyGtNKdpxbjQbDfcJc5l+MkIm2aYte15D+VzQlJuv40dndF8+oj21nd43g54d22J77A4X6soCowxV25y7vVOsHmKlR7ewXP0g7dvaYTLQwjB2toavV6P4XDIxsbGrW/TWktSGnqZYlRo0kqRlJcPiLkjtuM4juPcUFVaqsrSWpsEmYyyKAVVprEWrP08+CS9ScDK8+TLIJXnTwNW3iR4JW8QsLLWkp1nSS3Ize+b8AOBxZLGhrWN1b+4d1bDeJolZe9BltS5yJfsNDx+fJzyTjugGd7dZYa1lr1RybjQtAPPLSl/GVrjpTGVFOAtXqljtbaNCULWT3YZqAr99i/iXTGLxlkOSinK8urZcDIZI9KYyhjs5jbi2VNIYmi2Zj/IJRNFEfV6nRcvXtBut/Fu6W+80pZBruhlirwyjIpJuW3oCTbrl9+mC0o5juM4zg1Ya6e9mz5vzukFgosWMrLWopRFKyhLjTWAAIHAWIvvC3x/GrDyJxlW0nsly2r6r3hDwKosPh/PsmdJweQzB4FlPNSsbbhpi7McjuKKYVHRumeNtjfrAaO84MOjjF/7ZuvOgkNnmSKeNpRfq823N9Ky8NMRtixQ3uJmIOl6G+9BQHnUY/CDP2Xrl34Z0XABh1Vz3k/qSllS1uD1TzFpgmm2sfUmBB7y4DnmZ37+9ga7RFqtFicnJxwfH/POO+/M7H2ttcSloT/NikpKRVpNKgXaoXx5I8ZcoXTQze4cx3Ec5wa0Bn3J3lFCCIJAELwhYKWUoCo0xgqmkS6EtUhffF4G6H9eEihfKQv0JJMsqdwSRBZYjWyBIJTkucUYe2slj44zK5NJusaY+5Mldc6TgrfaAbvDgvfXQ965g5KrSptJEDDXbLqyvUvz4hG2KDDrO/MeyhuFtRp66y32TvbZ+NGfIv+1fwMh71ewd9Wd95NqtS4fcPSGfWyeojwf4fsgBKa5hjw7xnz7e3Nv3L8IfN+n3W5zcHDA1tYWUXSz43GlDf1M088VWWUYFwptIPRgu3GzDFV35HYcx3GcG6hKi6oMXnCzYMkXA1ZfnHC/DFhVUJV6Ug5oLRaBwOK9ErA6j0OtQpbUuUlfKUOWGpotdzHiLLaj+H6v/tYMPdZqHj88TNluBoS3fCzaH0/6SNV8gXRle5ejFF6eUAoJYrHPFVJAK/LY5yG/cPoYc7iP9+635j0sZ0astRRFgbX28kENVSGHfXSeYdc2X95+040mctBDnB5i33b7CEyanidJwt7eHt/97nev/HprLeNpVtT4lawoT0AzkjM7vruglOM4juPcQFVO+kfVGre3jTcFrIw2aAWqgqLUYMV0LKtzcTbJBIPRULuglLPQRrkiLQ3W2nu9+ttOI+BJL+ejk4w/+3bz1rYzyhWDTJEpzU7DZUZclp8MsUWB8pejR1PDgwMvImlu0PzoQ+zDtxEuE2YlVFWFUgopL3+89Pun2CxFhbUvBrL8ANNs4R28QL31TXBBaqSUrK2t0e/3ieP40tlolZ40Le9nmlwZRrlCW4g8ceOsqAvHOdN3cxzHcZx7xNpJg3MEc2usKz1JEElqTUGz5dFsy5XKkoLJzzYMJXli5rK8seNchrWWo/MV9+5pltS5wBM8bAd80svoZ9WtbEMby/64YpAr1qP7/fO+Kj8ZYYoS27zFuykz1PAmt1n2wm3IUszuk3kPyZmRPM8pioLgor4GFxB5hohHaFUh6l/df02zDWmCGA1mPdSlVavVCIKAFy9eYIx57fOstYxyxdN+zqOTjCf9nINp5m8zkuw0fdq121lIYrVmrY7jOI5zh5QCo+0K5SQtLj8QqMpS5i4o5SymYaFJysmE/z5nSZ1bjzxCT/KDgwRtZv93e5xUxKXCk+7nfRWiKhF5hpaSZbkU9AS0PHiuQ+z6Fnz6CFsW8x6WMwN5nqOUIgwvsVywtfi9Y2yWoOsXZ2DaqIYNI+T+8xmPdHkJIWi328RxTK/X+8r3S204iks+Os35rFfwbFBwliqwsF332Gr4t16GvRxHIsdxHMdZQFVpKSuD54rhb50fABJGIz3voTjOV1hrOY4rhrmiHbrpNUwuhN5qBZyliueDfKbvnVWG06QiLjRrLkvqSvx4CEWGCpcjS+rcegCjCnqNTagqzGeP5j0k54aMMZRlCVwu21zGI8hSlBWI1wWxhMC21hDDM3CBy5eCIKDRaLC7u4tSCmstw1eyoh73cg7GBaNC0Y4k202fZnQ7WVEXcWdNx3Ecx7mmqrRoNcnicW6XEIIwkiTj16eeO868DPPPs6R8l7XzUs2XbDU8PjxKScvZBJStteyPS0aFphnc3UXTqvCSEaaqsPX6vIdyJQ0P6h78KA1g6wE8f4JJk3kPy7mBoihQSuF5lwgsG43XP8VkKabVfuNTdb05Wbz4cG9GI10NrVaLvFL86LMXPDqdBKKeDXPO0gqBYLvhs9Xw55J56s6ajuM4jnMN1lpUNSndcxdFdyMIoCoNVekCU87iOO8lNSoUa5GbWn/ZVj3AWvjwKJ1JT7hephjlGmUMNZeVdiWizBFFjpI+y7gYxlYAZyUMausgwH7843kPybmBPM/J85woir72ud7gDJtnKD9AfF1TdM/Dttp4R/vwhh5K94WZrqB3kEGfBp/snbB7NmJUKtqhx04zoBnJuc5l3ZHccRzHca5BVRatrVvc5Q75gcAiiMeuhM9ZHINck5YGgcuSuognBQ9bAbvDgqP4Zk3PK205iqfNzWuubvqqzkv39JKV7p1rehB58NNUIrYfwMELzKg/72E515TnOdbar8+Uqkq80QBT5tjG5Vbz1I0WlDkMzmYw0uVUastJZngyMuzGmqO4ojQePgYxPmGzdrtZUTJPL//cWxuF4ziO46ywqrRUlcG/RG9OZzakFIQhxCN359NZDNZajs+zpO75intv0oo8mqHkB4cJlb7+3+9BXDIuNJEn8KS7I3BVfjJCK42tLVfp3jkhJtlSR4VgFLYhDLGPfuRWZV1CSimUUpd6rt87xmQZqta8dDaPDSNsrY639+wmw1xKSWV5EWuejDT7saKflhRlyZpv2Gx4rK+vkcUj8nh8OwOwlqB/Qm3/6aVf4oJSjuM4jnMNVWUxGnzfnUrvUhAKityilAtMOfPXz/XLXkkuSPJmD1sBcan5+Cy71uvHhWaQKdLK0HYBwCuTeQpFgRbLnWHW8sADHiUCsfUATo+wvZN5D8u5ojzPKcuSIAje+DyRxogkRhmFuESZ36tMq42Ih5Ddn95jpbbsJ4aTpCLOSkKr2KoJ1iIPb5oV5YchQVSjf7yPmXV5o9ZERy/wzw5RcXzpl7mZtOM4juNckTWWqgJ3b/bu+YHAWEhjF5Ry5stYy0kyWXFv3QVJvlbgSR42Az46zRnml8uQOGemzc0HuevbdV1eMoI8R9UvV/60qKSA7RD2c0EaNqHRwD76AGtcWfcyOQ9KvbGflDX4vRNMmmIab25ufhFTa4CQyMPdG4x0uRxnhrTS1IVhsy6JgouPl1GjSVnkxP3TmW1bFDn1/cfIQY8yLyja25d+rTuqO47jOM4VTbKkLK59zN3zPIEfWMZDdwHizFc/U6SlRkpXSnZZ6zWPQAp+cBCjzeXD+idJRVwoBBC67NSrs3ZSumcMhFfLNllEbX9SyvdRwiRbajjAHO7Pe1jOJVlrKYoCa+0by/HkaIDNU5SUCP8aGX5SYlpryJND0Ks/ZxiXhqS0aKVeG4w653k+tUaLwckRVVneeNv+uE99/wl2PCS3ErW2PYkgX5I7qjuO4zjOFVWVpSwN/puzzp1bEgSSPLfYK1zUOs4sTbKkFMNCuyypK5BC8FYr4DhR7A6LS70mV4aTRDEqtevbdU0yT6AsUN5yl+6dk9PeUs9SQeHXYG0NPvoR9pI9ipz5KssSrTXyTavoqQpv0MNkObZ19Sypc6bRhKpEnB1d+z2WgbaWk8ySlIrWJeemYa0O1jI4Obj+ho0hPNknON5DxTFZ2MQ0r/77ckEpx3Ecx7miqrRYA567Yz8XQSAwypJmroTPmY9epkhKhScmgRbn8uqBZKvu8cFRSv41veGsteyPSkaFoul77md9TX48gixDL3np3qvWpvG1T2IQG9uQJ5jdx/MdlHMpeZ6T5zlh+PqVYvz+KTbLUGF46ebmF7FBiG20kPvPYYUb4p9llqwy+EJfehVYISW1VptkOCBPr953S1QltYOneP0TqjSjaG1AWLvy+4ALSjmO4zjOlRhjUWp1JzbLwPNB+jAerH46vrN4tJn0khoVxmXuXNN2I0AZy4+OkjeunNbPNaNCU2pLPXSXLddiDF4yQllYpeViPQGbATzOBJUXwvoWfPoIW14uA8+ZnzzP0Vq/NigligwRj9CqQDRuHkg1zTYiTeC2Vpubs1xZ+oUhqxTNrynb+zI/jPCCgP7RPvYKTc+9dExt7zFiNKCoLNX69mRydk3u6O44juM4V1CVFq1BuGvRuRFCEISSLDFuKXDnzvWmvaR86bKkrsuTkzK+Z/2C0/TikitlLEfjkkGmWHfNza/Ny2KoKvQK1puv+6AsPE5BbGyCqjBPPp73sJw30FpTvqmHkbV4ZyfYLEXXWjPZpqnVwfcn2VIrxlo7aW5ealr+m3t0XUQIQb3ZokgTktHgMhsk6B0THr7AxCMyGaLb68DNzoXuCO84juM4V1BVlrIwfM0qxs4tCwKBUpaydEEp5+5oYzlNKsYuS+rG2pFHI5T8y/2YSn/17/hwXDIqNIEnLl2O4nyVl4wmF/j12VzgLxJfTrKlPokFSviIzR14+ikmu3opknM3iqJAKYX/msblMhkhshSFRUQzyuwTYtLwvH+CrW7e1HuRDEtLUlmw6tqLQHh+QFhv0D8+QOs39GXTiujwOX7vCBXH5I117IxKgt0R3nEcx3GuoCotWPDcRdJc+QEgcKvwOXeqlymSSuO5LKmZeNgKGBeGT8+yLzwel3r6s3bBvxsxBj8Zo4W8UWnNIlv3oTCC5xmwtgGA/fgn8x2U81pv7CdlNF7/FJPFmMbaTLerG00wBnl8g6beC6YyltNpc/O1G5Y3R40GRitGpycXfl/mKfW9x8hRjzIvKde3Z1oO7GbUjuM4jnNJWrt+UotCCEEYSeKRa3bu3I3zLKnYZUnNTOhJdlo+H51mjIrJHXozbW4+zBVrrmzvRrx0hK0qlLc6vaS+LJSw4Vs+jgVGSMT2Azh4jhn15z0050ustRTFpOeX5331GOoNepPm5n6AmPWNP8/Http4h7tgV2PecJpZMqWpSX2jZvAAUnrUmm3G/RPKIv/C9/xRj9rBU+xoRG491NoWiNn+ftyR3nEcx3EuSVUWrSzScxkSiyAIJr8TVa3GBNNZbGepIik1vueypGZpo+bhCfjhQYKxltNEEZcKEERuhdMb8eMRNs8wM2gWvcg2Qki0YC8DWmvgh9iPf+R6ofoL4QAAIABJREFUDi6Yqqqoquo13yzxRn1MWWAbt1NqqhstyDPEcPkDlkllGZWGstI0gtncJAmiGgg5aXpuLRhDeLxHcLKPimOyWhPTaM9kW1/mjvSO4ziOc0llaakqSxC4ie4i8AOBtRCPXAmfc7u0sZymFeNSsxa5LKlZkkLwVjvkMK540ss5SSqGuWGt5i5TbkQrvCxGCQlytffZSELbt/w0FljEJFvq+Ajbu7gUyZmPoigoy/LC0j2/d4LJMlRYv3HWz+vYMMJGEXL/2a28/10x0+bmSalo+7Obj06anrfJ4hFF/4za/hO8wSlVklO0tiCszWxbX+aO9o7jOI5zSWraT0q6flILQUqBH8LYlfA5t+w0rUhKTeTJW7tgus/qgWSz7vGTk0kZXzOQLhvthvxkhC1LdBDNeyh3YjOAsRIcFSAaTWg0sI8+wBp302JR5HlOVVVfCUqJNEYkY7TRiPrtBT7OG56LYR/y7Oufv6D6hSWrDNIa/Blnk/phSM0aso9+iBn2KZSl2tiCC8otZ8nNqh3HcRznErSyqAtWiHLmKwgERWHRygWmnNuhjOV0WrrXcj2OboWoSh7qBH9wSpFm1G/YtNeZrrqX5ytfuneu7kHTs/xkPMmgFZs7MBxgDlensfUyM8a87Cf1hcC+NdMsqXTSjPy2x1FvAgJ5tHfr27oNpbb0cktaKtrhjAP31lIbnLKVjCiThNNKoVvrwO3fIFjNZRgcx3EcZ8aqyqIri+f6SS2UIBCksSVNDe01dyHrzN5pUpGUisBlSc2GtYiywCtSZJ7i5SlUFVQl38tSjGpTbPxZcD/raxOqQmYplfC5TzkIWyG8yOC0hAe1Orbdho8/xD58G+G7y955KooCrb/akFuOBlBkKOEh/OD2ByIlpr2GPN7HfOs7S1faepwZ0krT9Cxihs3GhVY0ekd4WUKhFLq9ySAvqKsK/w5+L/fnKOU4juM4N1Cd95O6H5UQS8PzBX5giYeuRMOZPWUsZ5kiKS1tlyV1PcYg8xR/cEp0+Jz6s4+ovfiUYO8J8mAXPehTphmZ9ShqLeTJAd7wbN6jXmpePIIyR91iD5hFVJeTjKmX2VIbO5AlmN2n8x7avVcUBVmWUau9sk9qhTfoobMU27yd5uYXMY0WlCUsWc+xcWlISotWiiiY3fnIKzJaxy+Q4yGpMuTtDaJ6A2stg9FwZtt5ExcydhzHca5lNNDUotesorKCqsqCwGVKLKAglGSpxRqLkO7348zOSVIRF5rId3/7l2YMskjxsnTyb55htYIixyqNEhItPUxQw25u8Oo9cg2YdETw5BH6l/78rfcxWVV+MsSUFXZjY95DuVNCwFYA+zn0K9gKQ+z6Jnz6E+y730KE7q7SvOR5jrUW/5WMNa9/is1TVFC703O3DUJsvYG3/xy98/adbfcmtLWcZJakVLRmmLgUjgdEw1NMnpMGdUytAUz+lmpRnSSNabVa1G45wO1u+TiO4zhXppSlKAwHu+m9WHJZKYtWq/85l1UQCJS25LnrK+XMTqUtvVSRVoZW6IIjr6UVXjIiODuitveYxrNHRLtP8PefwvEh1XhMUSiysEm2+ZBy4wF6bQtbb3DRpUi58QCRxARHu3f+UVaBKAtEnqGkx130glk0TQ9CCT+NJ1+L9S1QFebJx/Md2D2mlKKqvngTUxQZcjxEFyWi0bjzMZlmGxGPIY3vfNvXcZZNmpv7QuPPYrEdY6ifHVLrH6OygrjefhmQOuf7PtLz6A/6tz7Xd5lSjuM4zpWVuaEqDVmlaLQtUW21J75VaVHK4Pmr/TmXledPEirGQ0O94YIHzmycphVxqal5wmVJvUKoCpkneHmGzFNEWYCqIM8x1lJKDyN9dH2N69Q7myBCrW3hP/8UtfMW9p6VoN2Un4wgz9HR3V/oLwIhJr2ljgrBqLKsBT5s7mCffYp577vI+v1o/L5Izlfde5klZS1e7wSbpehmay6hU1Nv4Hkecv855md+fg4juLxcWfrFZM69OYMyclkVNM4OEXlGpi1lewMu6E8lhKAe1YnTeJIx1WzfeNuvHdOtvbPjOI6zsorcohQEvmB0D3r5VKVFVRDcQQ9O5+qEEAShJInNvcjcc25fpc3nWVK1+x3oFGWBP+4THu9Rf/EJteefEO4+xdt7iumdUsUJuYK0tUm++RbV+g66vXGtgNS5cm0LjCF49tkMP8n94CVDjFbY6P4G81oeeMCj8ySYtXUA7Mc/mduY7rOiKCiK4mU/KZmMEGmKsiDCcD6DEgLTWkOeHU+C6gvKWjtpbl5qWr698Q2SIB3TOt6DJCGxkrK1fmFA6pzneYRByGA4QJvbm++7TCnHcRznSqrKopRFCIjqHsOhYefhzU+Ui8pa6/pJLQE/EOSppiwtUeR+T87NnCSKuNTU71t2pLXIMn+5Kp4sMqhKKEtsmaOFh5YS40eYtQe31/NJepSbDwhP9pBvfwPTvl+9ka5LFhmiyKk8n/tYundOTrOl9nJBoixN34OtB9iD55jvfg/p9qc7Y6192U9KCAHG4PVPMVmCaa7NdS/VjSZy0EOcHmLf/tYcR/J6w9KSVBasIvRvcLy1htrwjHA0QJUFadS8dBZqFEbEScxoNGJzY/P6Y3gDlynlOI7jXEmRG8rSEIQQRRJVGspidbNTtAKj7T2e3i+HwJ/c7HOr8Dk3VWpDL1OTZbej+5El5Y0HRIfPaDz7iOjFZwR7TxGHu6j+gDLNyWRAtvEWxcZD1NoOptG+9SbkqrGGCSLCJ4/AuH5xl+HFI8gy1D0t3XtV25+U8n2cTB9otcEPsB996DJq71BZlmitkXISdvCGPWyeozwfcZMgyyz4AabZwjvYhQXcJ5SxnOaT5ubtG6y2J5SiebJPOOxRFAVJY/1KZdFSSmpRjXEyoqzKa4/jjdu4lXd1HMdxVpK1ljK3GCPwfUkQShCTlfhWVVlaqsr1k1p0QgrCSBDH7uLVuZnjZNJLqj7DJbcXWdA7JjzeRRwfUo1GFHlB5tfJNt+i3HyAWt/G1ltvLPG4FUJMmp6PBvinB3e77WVkLX4yRBsDrg8X3nQlvmepINcghERsPYDjI2zvZN7DuzfyPKcoCsIwhKrEG/UxeYZttuY9NGDS8Jw0QYwH8x7KV5xklqzS1KRGXnN1Qi9PaR2/QMZjEgP52uakEecVBUGAEIL+6Haant+Ps63jOI4zE1U5WYVOiMkJSQhBVJPE49Xt5aOqSf8s3/WTWni+L6gKi6pcYMq5nkIZBpkmqzTNe7DiXnB2iN87RqUZWXvr85XxanUWofzLRHV0e53g6ceIW7pDvypknkJZojx3sjq35oMBPjlfia/ZgkZjki3lsu/uRFEUKKUIwxC/d4JJE1StsTDtEGxUw4YhYv/5vIfyBWllGZWGstI0gmuci6wlHPdpnO5j0oTYC1GNNa4b/hFCUIvqZFlGXuTXeo83cUEpx3Ec59KKwlJMS/fOBYFAVatZwmetpSonpXuLMoFyXi8IBNZA4rKlnGs6eZklteIBKWsJT/bx+yeoLKNsb13r7vldKNd2oFIEu0/mPZSF5icjKDJ0zZXunTvPlnqSCcrpaUFs7kC/hznan+/g7gGtNUVRACCyBJGM0VojaguUyScEtrWGHPSgLOY9GgCMtRxlZlK2519jbm00jd4htf4JVZ4TN9YwMzgu+L5P4Af0hz3MjIO6LijlOI7jXIo1dhJ4suB5n58+/GBS1THqr14Jn6osRttFSBhwLkF6Aj+0jEarty86t69Qhn6myEpNM1zhKbK1hCd7eMMzqiyfrHQnF/fzWs+n2tjGO3iOSMbzHs5ishYvGaG1vdGqh6tozYfKwpN08rWo1WFtDT76EKvUfAe34s6zpKQQkyypLEEvSNneq3S9CdYgjvbmPRQA+oUlqwzSGnz/isdmo2md7OGNh2RKk7U2YYbZk1EUUamKeMbH4sU9AzmO4zgLpXxZuvfFx4UQhNFqlvBV1aSfVDCnFYudqwtCSZFZjFmtfdG5fcdJxbjQNFa5bM8YouNdvGGfKiuo1rbuvlfUNVStdaznEz79aCEbEs+bl8VQlagFzXabp0DCZgCfxAJ1ni21sQNZgtl7Nt/BrbjzflKNKoc8QwsPsYi9EDwP22zjHe3PfVGFUlt6uSUtFe3windEraXRO0JkKYmVlM2NmR/fPekRBhHD0RClqpm97+KfhRzHcZyFUOSWorAXBmiCQKDU6pXwVaVFa65+p8qZmyAQGG1JY5ct5VzeeZZUoS2NVc2SMobo6AVy2KMsCqr1zaUISAEgJOXmA+TgDM81qf6K81X3dH3xslAWwboPuRE8yyZfizCE9U345CdY16vs1hRFga0qwvEAnSaTpuILSjfbUGSIYW+u4zjOzGTlV89euW1ENOrhpzG5sejG7R0LojDCYhmMhjN7zyU5EzmO4zjzZIylLC1gkd5XTx2rWMJnjaWa3U0g545ID3wfxiPXV8q5vKOkIi40zVVdcU9raofPkOMBZalQa1ss22WArjXR9Rbh00fgyq4+Zwx+OkZZ3IocrxFK2PAtH8cCPb13Jta3oCoxjz+Z7+BWVFVVVFWFHw+weYoOa4hrriB3F2wYYWsN5O7TuY1hXBqS0qKVIrriuShIx0TDHkWpKBtr3GbfifOm50kak5ezaXq+XGcjx3EcZy7K6Ypm3msmFKtYwldN+0kt8BzKuYAQgiCSZOnq7IvO7cqVYZApKmOpr2KWlFbUDp8hxkOKSqPWNlnWRnnlxg7kOcHhYq2UNU9eOsZWbtW9r7MRQqIF++fZUr6P2NqBZx9jsmS+g1tBeZ5TxmNqWYIuSmgsfgN+02ojxkOYw/6greUksySlonXFP2VZFtT7x6iyIG+s3UkGrO/7SM+jP+jPZK61gmdex3EcZ9aK3FCV9o39U1+W8OWrEQioKktZGnzXT2rp+IFAVZY8d9lSztc7jicr7jVWsUxXKWoHzxDxkEJZdHt5A1IA1g+p1rfwdx8jsnTew1kIfjLCphmmsbilUYsgktD2LT+JBS9bDq6tA2A//en8Brai8jzHnB3jV+WtlpLNkqk1QEjk4d03PD/LLGll8ND4F1QkvI7QisbZASbPSWst8O6mJ6IQgnpUpygLkvTmQbwVPPs6juM4s6T1tHRP8Mb69vMSvuFgNUr4qtJiDXireKG64nx/UsY3HriglPNmWWUY5IpCWWorliUlVEX94CkiHpFriW5vzHtIM1G1NrBA+PRj1/Rca7w0RktxZxejy2wzgLESHBWTr4X0EFsPYO85ZjyY7+BWiDGGon+GyDK0FZMeXre1LQupFsSzqOiVEtNeQ54cgL67uWyuLIPCkFeK1lXOQ9bQODtE5BmpF2HveOVNz/MIg5DBsI82N/t5rdbZ13Ecx5m5IreoyuJ5b767fl7Cl6xACZ8xFqWW+zPcZ+f7Ypq4oJTzZkdxyajQtFesl5SoSmoHTyEek1uJaa3Ne0izIz2qjYfI3hHenJsSz9vnpXt3ezG6rOoeND3LT8fi83hmqw2+h/3ow6WfuyyKIs/QZ6fIPMU0mzN//9LAQEn2So/HecCz3OdRLHme+1Q3/BWaRhOqCnF2PJvBfg1r7aS5ealp+Vdrbl4bnOJlCZkV6Prsf86XEYUR2mhGo9GN3udO1g3tdDo14B8D0XSbf9jtdn+70+l8B/gDYAv4F8B/1O12y06nEwG/D/w54Az497rd7tPpe/014D8BNPCfd7vdfzB9/PvA3wQ84G91u93/4S4+m+M4zqorC4OqLLXG158og0BQpJoiN9Tqy3vXtqomq+4ty8JUzlf5PiSZochXI3PPmb200owKTaUN67XV6ccjypza4XNsPKaQwUqWdal6Cz9qEDx5hP6lX7+3WUJ+PMTmOWZ9Z95DWRqbIexmcFrCgwiEkLD1EHu0h+2dIrYfzHuISy8/3KcYjwjCEOHfPNygLaRGkGpJagSVERQGCm0RGCSW0FN8lgqGKuD9mmbNv95NKRuE2EYTuf8M/eBtuOIKeFc1LC1JZbFWEfqXP46F8ZBwPCCvFNUcs2CllNSiOuNkRKvZJLhoie7LvM+Mx/U6BfAb3W73l4FfAb7f6XR+Hfgfgd/pdrvfA/pMgk1M/+13u92fAX5n+jw6nc7PA/8+8AvA94H/rdPpeJ1OxwP+V+AvAj8P/AfT5zqO4zg3oJSlqizia0r3zvnBpGxqtORlU1VpqUrDNc+tzgLwAwEIBmcl1ri7385XHccVo1zTjlYnoCGKnNrBM2w8JveilQxIASAE5cYDRDLGP7r7/i8LQSm8PEEJ6e6gXEFDTjKmfhq/ki3VaEKtgf3oA6xZ7vnLvNmyID89wWQJ3rRn15Xfw0JmBGeV5EXh8zgP2M19dnPJWWmJK420ik1Ps+kb1n3LVgjvhopRZflR7LFbeFw34d00W4g0gWR8vTe4JGUsp/mkuflVsnW9IqM2OKEqSormOvMufguCACEEvdH1m57fSaZUt9u1QDz9Mpj+Z4HfAP7D6eN/B/hvgd8F/tL0/wH+EPhfOp2OmD7+B91utwCedDqdT4FfnT7v0263+xig0+n8wfS5P7m9T+U4jrP6Jg3ODdK/3J2i85XPkrHBvn21NORFos77SV2h2aSzWKQURDXByUmB9BS1uiQIBWEo8C65PzurKyknWVLKGCJ/NbKkZJ4SHT7HJgl5UMPWFn+1q5swYYRa2yR4/il65y1seL9K2Px0hC0KlF+b91CWihCwFcB+DkMFG8H0ptvWDnbvGeZ4H+/tb857mF9Lm8kNQ7lg8yx9uEcVj9Fh7UpzwMryMhMqNRJlIFOgsAir8QW0heVNbT4DAW8HmqGWfJpIhkryXk3R9q4WKDG1Bp7vI/eeY37uF6/02qs4ySxZpYmkRsrL3RwRStHoHaLznLTentwJnjMhBLWoRpKl5EVOvVa/8nvcSVAKYJrN9KfAzzDJavoMGHS73fO2ZLvAN6b//w3gBUC321WdTmcIbE8f/2evvO2rr3nxpcd/7RY+huM4zr1hraXMLVpBvXn5iUUQLncJn9GWStl73z93FdSbgnrd4/RYk8QaKSCsSaKaIKpJwlDgB2Jpg6fO9fUzxSjXtFYkS0pmMbWjXUw8Jg8bKx+QOleubePHI4Lnn1L+zC/Mezh3yo+HmKLAbq5Qv7A70vQglPDTMfz5rcljolbHttfg0YfYnbdnUnZ2W87Siv1RiQUiXxJ5gsiXhJ4g8iSRLwjmcFPNJjFZ75QyS/Gbb94vzTQbKjWSVAsKIygtZNoiMUgMNQFrk6TnSxMCNnxD0zMclT6jyue9uuHtUPM1rVG/8Cam1Ub2T9BVibiFtPm0soxKQ1lpNmuXPA8ZQ6N3AHlOGtRZpHR+3w8I/ID+sEcUvoOUV9v/7uyvrdvtauBXOp3OBvB3gT9zwdPOLwEu2mXsGx6/6FNfeDnR6XR+C/it6ZjY2XE12M7i8n3f7aPO3JSFpsoLhFA0WxefLjzPY339i+nZ1lqEKcGE7OzMp/HiTWSpokhzaqGh1ljcSalzOZ7n8Y1vTa46lDLkqUFVhrQCXfOo1T0aDZ+oJokiD3npWauzrKy17JdjaqXPw/b8s2suOo5ehUxG+HEPZQz55gOa9fsRkDrnifepnx1iMNj1zXkP525UJaEnyVtt/Nbtl2hKKWm1lu98/ibfjCwHmYG6z/p0xTNbr1E9+YQwHRF+92fnPMKvstayN8wZU1BISWUMo8pCJcBC4AkaoaQWeNT88389Il9S8+UkgBV4+HL25zlrLap/TFaV+GsbbKy1v5LFVRiIlSDRgsyAEpBYixEGz7NEWLZql2sX8WVSSur1z7MG60DbQl/BMyUpfMF3GpbXTGe/qhYhi4xGOka8990rj+dNjLWcDCqsX/D2RoB/yQBidHpAYDTjWoPoa4J+8xCGAaN4hLaKtdYm+gorGN75bLvb7Q46nc4fA78ObHQ6HX+aLfVNYH/6tF3gW8Bup9PxgXWg98rj5159zese//L2fw/4vemX9vT09MafyXFuy87ODm4fdeYlHmuGfYXng9IXnzDX19cZDodfebxShoO9hKiRLl0WSjzS9HuKKIKicuV7y+6ifVR4kwn0aGTpnU2y4jxvUu43KfOThJHAd2V+KykuNcdnOXGmiEw+7+G89jh6GV4yIjreJU0S8lpr0hE4TmY8wkXnU1MG8cE/J//FX4Ur3qFfRv7glLJ3SiZr2Dv4fbdaTeIV26+khSqHP9m3/OuvxDKNH5H8yT9B1lu3kiFzXdpYdkclvVQxyCvWax4tT75M2bDWUmnLYGiotEUZMBhAIIDQE9QDSehJar6g5nuE/jSzyhOE00yr65YD2v4ZZm+Xs+GQVAZ4afqyQXnySoPy3EClLQKLh6UuLa+2U8rV67fxJvV6jSz76vG8DngGdkc+xzG8XzM8vGTWlCd95KePUGubM+3bdpYbThJNWVWEkaS4xGvCcR+vf0JcaYrWOlzwWReCFRweHiKsuHRJItzd6nsPgGoakKoDv8mkefk/Av5dJivw/VXg701f8kfTr//p9Pv/b7fbtZ1O54+A/6vT6fzPwLvA94B/zuTP8XvT1fz2mDRDP+9V5TiO41zReeme0ZML9avyQ0GeGvLMUG8sV3lMVU6CFNL1k1ppQghqdQH1yf6uK0uRWdJkMiOOaoJaTRJOy/yC0JX5rYpxoYkLRTNa7t+nNx4Qnuyj05i83obgnvYWEoJy8yG1o+f4p4eoh+/Oe0S3zo+HmKrCbtyTzLBbIAVshbCbC35eWZrTq2KxsYV9PsA8/gTv5xajJLTSlmeDgkFeERearYb/leCREILQE4T1r85djLUUypBVhqQ0VMYgEC/LjSJfUvcFgefRCKdBqmkZ4Pm/gXz9OdAqBadHFIM+SdBgUFr6hU9uBJWBXAPWIDD/P3t3GiPbuh52/f+usap63L33PvMdjrEdxUnAJmTACCPxIXEUmYCAIsSxcSYTxY4VKQJEPkQhgwViCJZJHBLbkm0lsVYIyFZkkQBBYD4QkBxi+97re8+598x77KG6hjW8Ix+qe5/e++yhuncNq6qfn3S0+1R3db9dXVXrXc96BjpRYCfmUiV5LyuL4M3UcuIivjaJOHWKz+eO3gt6TfmtHaL7d1GnJ4T9m3NZi3aB4zpQasuNGY9BST2hMzhCa02zfYOlPniXlGc5xmgGw1MO9g9mvt+yMqVeB37mrK9UBBRFUfyDfr//ZeDn+/3+Xwb+KfBTZ1//U8DPnTUyP2YaZKIoii/1+/2CaQNzC/zQWVkg/X7/h4F/CMTATxdF8aUl/W5CCLFxjA44G1DRsyqnny9JIEpgeOrWKijlXMC6wAIy20WLKaVIMkVydlHcOU/TwOnAAZ4khU4nmvahyqcBqljK/NbWsHEYH9hrcc+YF0mGx6SH93CTCU1vr1W9RVbB513c9i7pB1/F3bhF2ODHQ+ka1dSYKKHNJ6frYCeBQwPvTODbzypoVZJMm55/8A7+828TrbgctraeDwYNp7WlNtOA1GUvkERK0U1juuln92PWeWobKE3ANpoHEyBAUBAr6CYxnTR6lGmVx2e9q84yq5JIMf7kLqfHJUd1ypGxlCFDeVDBkQK7USBe8VZQKThIPFsqcL+OGdqEL3Q8t1P3zD1fyHJCnhHd+QA3p6DUw8pTmmlATM2QfRUZTff4Pq6pqbq7rZ+0OW163mVSjtnqzf7aUVcd27chwp07T63yE6IVpHxPrMpoOC3dS7PnT6B7XtlJNfFYE/jit+Rrk2FSV57BkcUFyNc8i0JMvUxpFJyVROiA1oHgpsHWPIvIu4o8j0jziCS5Wg8MsXy19XztsOK4NNzcasfUvcs+R5PBEenRPVw5odnahw2ZHviylDV0772He/2L6Ld/06qXszDp8QOSex9SJT3CFaZcXcUmlu+dOzFwrOG7Xwmc95sO3hE+eg9e/zzxb/vtK1vbuHF8eNowqCw+BPa6yw2ka+epjaexAeMhEB51eU4jRS+NyL3B3v2E6vSUURzRVBW7nZxsybGTZ5XvPU0IcGwjyhDxeh74XMfRjZ4eE4nGQ+LBEfY7vhNe8vU20p47Y8+k0ex3ZniAvGP7wcdQjhknPUK+HtmwIQQm1YQkivgjP/hHYIbo+fpeIhJCCLEQwQd0c95n5+q7iiRTVGtWwmdMwBi4JoOrxAyUUmS54nzavLWepg5U1bQUIc0g70aPpvmlmSKSVLvWGtaOiXZPzRhYB+nJQ5Lj+7hJOS3jWONsr3kLSYrZu01690PUK28StrZXvaSFSCanOOsI28sJSG26nQQONbwzht92ni0VxXBwm/DJB/gvfjPRztUHEVzVcWX55LRhUFvSSLHTWf5rPYunPaieFEKgsYHSOrh3l+74mHRrC9XU1JFfekDqspSCm6ln2wXuNjGnZ1lTt56SNeV7W8SDY6L7n+C/8M1X/pkuBB5WgYm2bM9yHSEEesf3UXXFRKVrE5CC6b6pm3cYT0Yz36flTxkhhBDLpnXA2pcvYUsSiJPzEqj1YHQAFSTrRTxTkkRsbUfs7MX0dhQhTJvjH9633L9jeHjfcnriqEqPs9c6G72VRtpRW083Xb/XeHp0n+T4PnZS0uxIQOppzPYeIU7I3v+NaTrEhonqEpoGp+RvPy+JgoMU3qum/Y8e2d6BJCZ89ddZZmVRCIF7I83Hpw1HlaUbR2zl7QqiK2DLTHh9cIfbbkIWRbg4xnmPWnWd3iXkceDN1BJ84CuTiK9X0z5Yj4liwvYO0YO74K++nz2qAqXxJLiZpu3lw2OSckztA663fgH2OE7o5LMHzuUdTQghxGOaepoplb/kpPRphklENfaE0P5Aj7VBggjiUqJI0elNn9chBIwJVKWjHDlUBHknIu9My/y6vYhI+lCtlHGeiXbT6pOWvx89JgSyo3vEg0NsVaN3Dlh5g5a2UhH6xm3yBx/GXYHSAAAgAElEQVQTnxziDm6vekVzFU+GUNfY7vqdpLbZbgJHBr5Rwm86e2iViuDgFcL9TwgnR6iDWwtfhw8XJuxVht1OTNqmoSvOkYwHpMMTaCpCVaJJsNu7WN1grCFds3LiSMGt1FE5xSdNxNAlfD533Ez9o4uzbmuHZHgKJ4dw89VL/4zaBgaNpzaWG/mL/55pOSI/PabRFr29x7r2jkvT2Z8LLXqWCyGEWDXvp71zIMxl+lySKowJ1JV/8RevmNEBaz2JBA7EFSilyLKI7Z2Ynf2Ybk9hdWB44rl/13J8dMU512Juho2jsY58nV7jIZA9vEM8OMRUNXpXAlIv4jpbuN422Xu/AW6DXnchkEyGOO95VE8s5iKN4EYK744V9uJ2pbcFnR7hN36N4Be7j7E+8P5Jw8Ox5qQy3OglrQlIKd2QHd6l99E7pPc+wp8c0TSWavsAu3cAcYKxlhACUdSONV9WNw68lTqsC3xlEvN+ndCc/clDmhG6PeJPPrj09w0h8KDylNqxnbz4Am2kG7onD7C6oe61v7H5vFyP31IIIcRMdBOwxhPPqSfOoxK+k/aX8BkdsJpHE9iEeBlxEtHdjtjei8hyGBw7rGl/cHaTjRrHWAe2W1YK80zeTzN+To8xZYPZPbg2JygvS+/fhrokvfvhqpcyN1E9Ad1gYyl0WYS9BCqv+LD69Dal1DRDanBIeHh3YT+7sZ6vH9ccTgwT7bjZS4hWnc0ZAnE5Ir/7AZ2Pv0784BPMcEgdIur9W7id/ekGD3DO4V3793kvEim4nToOYseHNXxpknJsI0IAv7WDGo+gHF/qe57qwMQECJYsef77t3KO3tFdfF1Tdrav1QUIObIJIYR4pKk9VgfSOV2EfVTCN/FL7clwWeelV0RrVtYj1kKWK4KH4Rr1V9s0zgcmevo+tPKTvVl4T/7gI6LTY3TTYPZvSEDqEkKSYfZuknz8DVRdvfgOayAZD6GqcN2tVS9lI2UR7CWBr44V7sJ2RXW6sLNL+OqvERYQeBlrx9ePa45Kg/GeG710tfsQ50hOj+h+/HWyO++jDu9jxiVV2kPv38b3dngyhGCswTr7UsNx2qQXB95MHY0LfGk0zZqq8x5EEdGdj2b+PtYHDuvz5uYveGxCoHd8D1VXlHFOmNdGfE1sxjNHCCHES3PubOy9mm9gJkkVxra7hM9Z8C6sadW+aLsoUuRdxeDE4317g7ObbKwdjfNPnSTVOt6T3/+QaDhAa4vdPUC27JdntvcJQPbBV1e9lJfnPfFkiA1IOu8C3chg4hR3n4hjqv2bMBrhr1C+9TyDyvL+ScNRaYiA3RVM2Dv32RK9Y5rGUG3dwOzfJDynabW1FuccSbxe/aSeJ1bwaurYjx0fVIovlxlHvZuow/szlwUfVoHKOHLlXjiVt3N6SFyOqYK6loFnOcIJIYQApg3OrQkkyXxDM0kyzUBucwmfMQFjPPGcf3chzuW5whrPZNTe18EmGzaOUePYylr+GneOzr0PiIYDGuOwuzdY1ya3KxfFmP1XiA7vE50er3o1LyWuxmAMbs2aSK+bPIKdJPDlseLi9QOV5bB/AO98iWD0XH7W/bHmw9OGo4mhk6xowt55id698xK9O9MSPR9R79/EzTDlM4SAdQbYzEzzrTjwZmYpXeDX/A4f2gz74N4L71eawKn2aOPYyp7/t83Gp2TDE2pjMVs781r6WpGglBBCCAB07adBqTnvec9L+MoWl/AZHXCWuf/uQpyLE0WWK46PXGtfB5sqhMCocfgQZhrFvTLW0rn3Pmp0SuPCtGeLBKReiu1u4/Me2XtfgQU3ql6keDIkVCVOpu4t3I0UhlbxoHn8drV/A3SDf//dl/r+PgQ+Om24NzIcVYbtPKbzotKueXuyRO/hvbMSve60RG/rsyV6z2KdxXsPGxiQOhcreC11bCeKD9QO77x/xKB+9gUmf9bcfKItO8nzj/dxU9EZPMQ0mmZrj+sanrmev7UQQojHWBswNqDmXLp3Lk0VtqUlfI/6SbGZV/lEe+SdiKbyNHX7XgebbGI82oVWnzMpa84CUkNqB25bAlJzoRR6/xZqPCK59/GqV3M13pNMRjgVPWosLRanG0+zY748Uly8fqCSdNr0/L2v4U9PCNZc+nufT9h7MNacVJYbnYRsiRnaj5Xo3f94OkWv1jOV6D2LtQZjDck1eG7uJIFXtyKaquQrHw/4aOQwTynJP2kCpfFEwZM8p7m5spbe8T1cXVN2dyC6Po3Nn7T5zx4hhBAv1NQeoxdXvhZfKOHr9tp10LUGvG33CavYDEkKcQrHh443Pteu18EmGzWOUWPZzlp6LdZoOnffh/GImhi/vbvqFW0Un3WwuzdIP3wXd+tVQrZeDYTjckgwBrtB/Xra7kYGH1dwqOH2xafL7j6cDgi//iuwu0/IO9NG6HkH8hyyDuQd1FOmpjXW88Gg4bS2TIzjxrIm7IVAVE1Ih0dE5QTqEmM9Nu3g92/xsjkqxlq8D2TpNTmm5V1eT445GXzCu2mXQZ3whb2E3bPji3aB4zpQasuN/Dl/X+/pHd+FuqZMu5Be715xEpQSQohrLoSArgPOQbe3mA3SYyV8PqBe0PBxmYzxaO2R/b5YNKUUnU5EOZ4GgdO2Bkk2zLBxWB/IX9AbZRWUbsiO79BMRjQqxfekPGsRzM4ByXhI+uG76G/+LatezqUk4yGhrvC7N1e9lGujF00zpr4yVtzOP82EUVEMn/sioZwQRidwfFaOrcL06lt3C5V3CJ0uqtN5FKSaRCkflorTxmFD4GZvCRsO70nGA5LhMaquCXWJCRG20yNsXz4j6uk/wuPsbE2/N4ZSmK0dbo2Oid603K8DI+35/G7Ka1sRDyvPRDt6cUA9Z2Jqd/CQuJwwCRG+01viL9BO7Ts6CyGEWCprpuV7iw4TpamiKj1V5eltteeKmtEB7yFfdk8HcS1lmaKaBAYnltuvXu8ro8tQW09tfGtLc7Oje/impCYlSEBqYUKcoPdvkz34hOi1t/Dbe6te0mycJa7GaBVd69KeZVMKDlK4U8PAwP6FGJKKYtT2LjyR0eh1A1VJGByDNwQPKBhEHT5R20x8RC+J6W538FUHn+X4NCek2Vz7MSmjSYbHpKMBQTf4ukZHKa63P/fGmXVT45wjvmbPTd3ZJh+dsDW4zxuvvsVp43nnpGHQJKRRhHOWTufZe8psdEI6PqW2AbsjmbEgQSkhhLj2mmaaKbToKdPnJXzDgWtNUCr4wBXaQghxZSpS5F3FcOC5eSsQxe0MlmyKYe2YGEf3OX09VsY54nqCcV4CUktgt3ZJxwOy936D+rf8Doha+Jx4QjIZErTGJetVcrgJtmLIIvjKCP7lgxd/fZTl8ERp6IMmcG9kGEwadl1FB4caeBICJNm05C/NCJ0OPp0GqsLFYNUlROWYdHhMVI6hrjDWYZN8LiV6T6ONpmlqrLNka1YS+7JCHGO622TH92leeZP9TsRWFnhQWmKluNV59n2TekJncITRmmZbpquek6CUEEJcY+ele94p8s5iD4xtLOEzNuBcWIdzE7FBslxRTwKjU8fegWzFFmnYOBrrudlr3+Mc1xOCsbjsOWcwYn6UornxCp37H5Ic3sO+8saqV/RC8WRIqGv8/u1VL+XaOc+Wutcohiawe4kkoxDgTgOHOuKEjN29nDja5dFAv+CJdE1UVajqlGhwQhQ8sWIa2MpzSDJCp4tP82lWVTYNWj3W7H4JJXpP45yjrEq00aRJ2tpM1EXS3R2yoyHJaIDdOyCNFG9unz8OT388IqPpHt/HNTVldxeeU9533bTvCC2EEGJpjA7T0j0VWMbVmjRV1JP2lPAZHTBG+kmJ5YpjRdaBk2PH7o34Wm7ol8E4T2kcLGiq6MuKyzHUJWH/FtTNi+8gXprPu7jtXdIPvoY7uE2YcznTPClriKoSoxI5eV2R7WTa7PyrY/gdN2a7jwvwYQUnWjG0gf1U8ZmEWBXh8x4+f6KXkLdETU1U10SuIhocE/lAHKtpI+wsJ+RdQpYT4oS4HMFjJXp7LDrtPYTApJqgjSZSEdFTmrpfBy7LcVmH7MEd7N4MqXTe0Tu6S6grJtnW3Esp150EpYQQ4hpr6oDWnnRJmddxAlECw5N2lPAZHfAO8ufU/guxCHknYjRwVGU7ArSbaNg4KuPIWpCV+TRxNcYRkSYJIEGpZdG7t+jefY/0k/fQX/jWVS/nM5SuSUYDkvEpNDX2mpVGtUmk4CCDj2vFt9nA1gvOnLWHDyrFwEDpAjdSxaXefqIE393Gdx8v51VOo+qaqGqIJhOi4IgCuDTDJPOZojerqq7QRuODJ1/W5rGldHeH7vCQqK7wnedkpoVA7/g+qq6YqJSQS3bskyQoJYQQ11TwAa0DIUAcL2cz86iEr1x9CZ/3AWuRcn6xEkmqSFI4fmDpvS1BqUUYNY7SBA567Xt8VVOD0TgVIdfLlyskKWb/NuknH6BuvUHYakE/L+dIymkpkKpKqCucc5gkJ2xtrXp119pOAocG3pnAtz+nP37lPg1IaR84SOe3uQhxRtjK8Ct+KjzqI2XMtesj9TS6s0VneEx2eI/6rbef+XX58JikHFP5gGvD+00LyaVhIYS4pvRZ6d6y40JpqnAmUJV+uT/4CcZM+0m1sKpHXBN5N6KuA7pe7WthEzkfGGsPAaIWvsiTcgR1g3uyfEcshdnaI8Qx2QdfmzYAWpGoLskefkLvo3dI735IOHyArirKfItm/5WzKYHte/5eJ7GCgwQ+KBW1e/rXDA18o1QcNdOn0405BqTa4mIfqeSa9pH6jChCb+2QnjxAuac/OdJyRH56jG4MureLvJ6fToJSQghxTTV1wDSBSw54eWnnJXyng2fs7pbE6oDRfum/vxDn0kyBChwf21UvZeOMtEM7T9LS6YZxNcZbS+hIGcdKRBF6/zbR8UPiweFyf7a1JIMjOh+/S/7JN4gf3MEMh9QW6r1b2N2bIM3vW2U3BQd8ffLZzz3U0wypoyaQRtM+VJvmvI+UOesjFV/TPlJPo7vbKGdJTo8+87lIN3RPHmJ1Q7W1J73hnuNKL5t+v98FXFEUes7rEUIIsQT+vHSPQLSk0r1z5yV81YpL+IwOBL+80kUhnqSUotONGA899rYnSeW5OC+jxjFsLHt5C0+enCVqKnQUI1fNV8d1t3G9LbJv/AbVt994fKrZvIVAXI1JRgPickRoGrw2mCjGdndYWmNHcSXJ2SS+b5SKb92eBp8+nbCnONGB7USRb+hbeFWXaD3tI5XJc/UxPsmwnS7ZwzuYG7c5T79XbtrY3NcVZWcbJJD3XDO9dPr9/n/V7/d/59nHvx84Bgb9fv97Frk4IYQQi9HUAWs88YoCQmk2LeErV1TC513A2NWVbAhxLssVwcNwxZmDmySEwKhxhABJC4POcTUhGIOTsZ8rp/duQ12S3v1oId9fGU16/IDuR++Q3Xkf9eAuejKmUgn1/i3s7oEEpNbEbgI6wHvldMLeBxU8bBTHOrC3wQGpRjc0TYO1mnTBk/3Wle7uElcT4vIslS4Eesf3UHVFGecEeY2/0Kwvn+8Ffv3s4z8P/GHg3wB+dBGLEkIIsVi68VgdVrYXjuPpRelVnYgbM526t6qgnBDnokiRdxWDE4/3Eiidh4n2NCvolzeruBwT6grfkwbWqxbSDLt7QPLRu6i6ns839Z54fEp+9wM6H71Lcv8j3OCEpjFUW/uY3duE7jaSJbde0ghupPDOWPFeqTjUilMzbWiebGhAyjlHVVc0RpMkmfSRegaT9/BxSnZ4F4DO6SFxOaYKCteV9/lZzJqn2iuKouz3+zeBbyqK4u8D9Pv9LyxuaUIIIRbBufPSPVa2wVBKkeYR1WQ1JXzGBLT2TIfHyCZLrFaeK+rSMRk5dvY2sCHJkg0bx1hbtrIWnimelXFZIoiknKMN9M4N4skp2QdfpflN/8KVv49qatLRCfH4FIwhVBMMCbbTI2x1kGPN+ttL4Fgr7lQBpQI3UrWxw1LO+0hpo4li6SP1XEqhezvkp0dkgwOy4QmNsZid/VWvbG3MuvP5Wr/f/17gm4H/BaDf798CqkUtTAghxGJMS/cCyYqnw6SZopp4ytKztb3czY7R04wU6Scl2iBOFFmuOD5ybO/GcjX6JY20w/pAnrQvwBc1FRiDk4BUe0QxZv822dE9otPP4/duzH5f50gmpySjAaquoK5wzmGSHL97SwKPGyaL4K1OwAM7yWa/T5dnfaTwnjST8rMX0d1t8tEJneN7GBeot/eRmXKzm/Vo/aeAHwM08MfObvu9wD9axKKEEEIsjq491gQ6vdVuqOIYkgSGJ26pQSnnAlb6SYmWyTsRo1NHU3k6PTmRvarKeGrjaWtWSlxNpoGLzvaqlyIusN0dkuyU7L3foP7nfxdEzz+ZjKoJyWhAMhkSdINvmmnT8s6WTM7bcFvti3XPXaMbdNNgrSGTgNRMQpxgtnaIx2PKg9ckIH1Js76sPiqK4jsv3lAUxd/u9/v/2wLWJIQQreRswJhAp7u+Vz6smTb4Vmp1pXvnHpXwldNeOtGSSviMDjgTiFo6Kl5cT0kKcQrHR443JCh1ZcPGMjGOXksnGcblCO+8BC7aRin0/m069z4geXgH++pbn/0aa0nGA9LRAJoaqhITwGYd/N4tGfcuNoJ1lqoup32k0nTle8V1Uu3chJ0boOQYflkzl+8Bu0+5/cvAwfyWI4QQ7TUeeSYTy95+svRys3lpGo/RnrglaefnJXzVEkv4jJkGF/MutDWbQlw/Sik6nYhyPH2Npm3sh7QGRo1H28BBr4WPn7WopsZK8KKVfNbB7t4gff8d3MErhDR71AMsGQ2IyxGhafC6waoU29uDVKaRic0RQqAsS7Q20z5Sku1zOUoB8phdxaxBqc/s2vv9/i6wmlneQgixZPasMXY5DjSl5c0vKLI1m/8bQpj2k7LQ22pHMOa8hO90iSV8RgdQammZWULMKssU1SQwOLHcflVOdi/LOE9pHIHQyqv7cTUGrXEyHry1zM4ByWhI+uE7hBu3SManoBtCVaJDhM06hP095IKG2ERlVWJMAyGQxnIMEsvz3KBUv9//CAhAt9/vf/jEp28Cf3dRCxNCiDapSo9uPFvb04lxD+5aXv9cSrxGJWDWBFzLxqQrpcg6yyvhs3b6GBA8cjVLtI2KFHlXMRx4bt6SEtPLGjaOyjjylmSCPikpRwRd4/dur3op4hlCnKBv3CK7fweaGmctNk5x2wcQX4NmQuLaanSD1g3GWTIJnIsle9G76x9meingl4Dvu3B7AO4XRfHVRS1MCCHawrlAU3u8g7yjiOKI0Ynj6CHcfnV96u2bZprtlbTs4leSKsqxp5w4tncWu+m3ZtrkPJGpe6KlslxRTwKjU8fegZwEX8awcZQmcNDGnlwhEFUTLLH0Hmo5u7VHUBE+TgjbvVUvR4iF+7SPVEOaZGuzrxWb47m7naIo/g+Afr9/qyiKcjlLEkKIdqlKPw3mpNODdBwrtnZjTo89ecext9/+E8fz0j3vFHmnXZuNJFEkKQwHiw9KGT0NSnW67XoMhDgXx4qsAyfHjt0bsZwczMj5wER7CBC18DGL6hKswUmPlvZTCrf1tFa6QmweHzxlOUFrTRKnRC+YPCnEIsy6+7f9fv8HgW8HHpthWxTF9899VUII0RLeB5oq4Jyi2/v0RCfNFJ0uHN6z5Lmi0233iYbW07I1pQJt7IWR5RFVGRZawhdCmPaTCqufPCjE8+SdiOHAUZWe3la731vaYqQdjfMkLS15jKsx1BWuu7PqpQghxCNVVaKNJgBxLMcbsRqzhkJ/FvgzwAj4+hP/CSHExqorjzGepx2nO72IKIb7dyzWhuUv7hJ0HdCNp61tApJU4VygnLiF/Qxnp6WYQrRdkirSFI4f2FUvZW0MG8eosWxnLQ1KlWOc85B2Vr0UIYQAoGkaGt1gnSVN0lUvR1xjs2ZK/V7g7aIoBotcjBBCtEnwgboMGPP0ci+lFFs7EcOB5+E9w6tvpK2c6BZ8QDfh7CpYO9Oyk0SRJIst4TMmTAOMafv+RkI8Ke9GlOOArj1Zp52v27bwITBuHCHQyn5xymiUbqR0TwjRGud9pIwx0kdKrNysR+4PgZZeXxdCiMWo62kQQ0XPLveKIsX2bsR46BgctzOrQeuAdYG27zculvAtgtEBZyGVi4FiDaSZAhU4bun7SpuU2tO0bLLoRXE1Bt3gJEtKCNECPngm5QRtNHGcSB8psXKzXo7+WeAX+v3+jwH3L36iKIp/PPdVCSHEioUQqEuPbgKd3vPPdJJE0d1SHD105J2Ire12XQ1v6oBpfOsanD8pTRXlxFOOHdu7882WCmGa8QbST0qsB6UUnW7EeOixtz1JKicNzzJsHCNt2cra9d57Lq4mhKYh3JDm2UKI1SurEiN9pESLzLrr/+Gzf3/0idsD8E3zW44QQrSDbgLWhOdmSV3U6cY463hwx/LGFxR53o4TSO8CWk9L91Rb0wjOxGclfKen8w9KWQvetj9bTIiLslxRTQLDgePgdjveU9po2DicD+RJCx8j74mrCSaKmL1AQQghFqNuavRZH6k8k+xN0Q4z7fqLonh70QsRQog2qUpPc8nG4L3tiNGp58Fdwxufy4hbMAWqaQLWeOKWB6TOZXlEvYApfEYHtPHEi2lXJcRCRJEi7yoGJ579m4ubTLnOSuNorEe1cKooQFSXBGNwkdQNCyFWy1pLXVc0WpNn0plHtIdcshFCiCfoxmN0AHW5xuDnjc/rynP0wBDC6ie9NbVH69DaqXtPSlOFs4HJeL5T+Iz2ODedaibEOslzhTWeyWhxkynX2ahxTIyj19LyxrgaQ13iOr1VL0UIcY1575lU0z5SaZJKKwPRKjNdM+73+7vAXwD+NeAWfHo5qiiKzy9kZUIIsSJVGWiacKWG2HGs2N6JOT3x5Lll72B1V8ednfZRUqxPH6U4USQZDE8dO3Mq4QshYA0otT6PgxDn4kSR5YrjI8f2bizP4ScMG0djAztb7eyLkpRjXFCQZqteihDimgohnPWRMtJHSrTSrJeV/jrwLwJ/ETgA/jTTiXx/dUHrEkKIlbAmoLUnhEB8xf4kaabo9ODhA0dVri674bx0L0nW6yQ2yz4t4ZsHYwJuDaYPCvEseSeiqTxN5Ve9lFbRzlMZz7TFafsoo6dT92SylRBihRrdoE2DtZZMAuSihWY9Sv4e4N8uiuIXAHf2778HfN/CViaEECtQlR6jPelLlnl1uhFxAvfvWqxZzQlTU3ushWTN9h9pqvCWuZXwWR0wxpNISxexppIU4hSOj6SE76Jh46iMa2eDcyAuR6BrXCrNhIUQq2GtpapLGq3JsjXbEIprY9ajeAScnn087vf7+8Bd4JsXsiohhFgBZwNN7XH25XsPKaXY2o6wJvDgrplb1s+srDmbHsj6lazFiSLOphPH5kHrgLeQtPTEVYgXUUrR6USU42nQXExN+0kFtrJ2vrbjakzQhtDtrnopQohr6NM+UoY0SdZuPyiuj1mP4v+MaT8pgF8G/hrwE8DXFrEoIYRYharyZxk18zloR5FiezdiMnacHNqlNj5vmunJa7xmpXvn5lXC533AWgjr+TAI8UiWTZ/EgxO74pW0g/OBiZ6W7kVtPNHynrgqsVGEzBUSQizbxT5SCohl/LBosVmPkn8CeP/s4x8BKmAf+P4FrEkIIZbO+0BTBaxVpNn8TnCSZDqR7+TIMRkvJ8MhhEBTB6xjrr/LMqWpwjteeuKYPesnJS1dxLpTkSLvKoYDj3ft7KG0TKPG0ThPGrXzPS6uJwRrcJHUDQshlq/R9aM+Uqn0kRIt98KQab/fj4EfAP4KQFEUD4E/vthlCSHEctXVWWbRAoIXWR5hjePBHUP6Bcg7i516Yk3A2UA7T9VmM53CNy3h29m7+tU9o8O0R5jsx8QGyHJFPQmMTh17B9f7qvdQO0a1ZW/B76dXFZdjqCr89o1VL0UIcc0Ya6jqCq01WZavejlCvNALT7+KonDADwFm8csRQojlCz5QlwFjA+mCjt3drYig4MFdi1twlkNTB3TjF/a7LEuaRdRVeKmsEGMCwUO8iGijEEsWx4qsAyfHbqnlwG3jQ2DUOHyApKWv7bgc4QCZsCCEWCbvPWVVoo0mkT5SYk3MeiT/GeBPLnIhQgixKnU9nc4WRYtrCq6UYnsnoqkDR/fNwk4oQwg0TcB7tfaNvdNsWsI3vuIUPu8DZkWTD4VYlLwToRtPVV7fhucT7dF2MZmt86B0DUbj1PXOZhNCLNe0j9QEbRoUSvpIibUx6zP1dwJ/ut/v/8fAR8CjXX5RFN+1iIUJIcQyhBCoS49uAp3eYq8mxbFiazfidODIOor9g/lfQdf6rHRPBVjrAr7p45VkgdHAsXuFEj6jA95B3NKeM0JcRZIq0gyOH1h6b7ezdG3Rho1jpB3bWTt//7gcQ93gcpm6J4RYnrqp0UbjnCPPOqtejhAzm3WX/7fO/hNCiI2im2k2jVpgltRFaaro9BSHDxx5HtHdmu9Jld6Q0r1zaRZRnZXwRfHl/j7GTB+L6b5MAlNic+SdiHIc0LUn67Q0XWiBRo3D+kDW0mzQuBrjrSHsSD8pIcRyGGuo64pGa3LpIyXWzExBqaIofmbRCxFCiFWoSo9eciPsTjfCWc/9u5a3vhCRpPMJmHgf0E0gsDk9lNJMUY4D4/Hls6WMDqA257EQ4lyaKZTyHB9bXnvjenXxL42jsZ6orYFm54jrEh3FSDBcCLEMF/tIpan0kRLrZ6Ydfr/f/6PP+FQDfAz830VRNM+5/+eAnwVeAzzwN4ui+LF+v/8XgD8BPDz70j9XFMUvnd3nPwX+GOCAHymK4h+e3f7dwI8BMfCTRVH852e3vw38PHAA/ArwfUVR6Fl+PyHE9aQbPwegQZkAACAASURBVA1csNzAhVKK3nbE6NRz/67h9bdSojmUmOkmYKxnk6rV4liRXqGEz7mAtdJPSmwmpRR5N2I89NjbniS9PoHXUeOYGEevpb9zXE8IxuBiaXAuhFi8EAKT8z5SUUQcSR8psX5mPaJ/P/ATwF8A/vjZvz8B/Cng7wDf6Pf7/9Jz7m+BP1sUxW8GfjfwQ/1+/9vOPvdXi6L49rP/zgNS3wb8QeC3AN8N/PV+vx/3+/0Y+GvA7wO+Dfj3L3yf/+Lse30LcMI0oCWEEM9UlYGmDqQrOHeIomnj83LiOD60c2l8rpuA1YEs36CoFJ+W8Dk7e2Nnc9Zb67Ilf0KsiyxXBA/DwdUGAayrYeNobKCbtTQoVY6gLvHd7VUvRQhxDdRNjTnrI5XKtE+xpmY9on8J+I+Kovh8URTfWRTF54E/C/xT4C2mAaoff9adi6K4WxTFr5x9PAK+Arz5nJ/3B4CfL4qiKYriPeBdps3WfyfwblEU3zjLgvp54A/0+30F/OvA/3B2/58B/s0ZfzchxDVkTUBrTyAQr6gvSZwotrYjBkeOyejlJml5F9A6EAKoTUqV4mwKn4fJ+BJBKTPtFZYmki0lNlMUKfKuYnDi8f56PM+181TGc2HeTruEQFxNcEQQt7MJuxBicxjzaR+pbFOaiYpradYzsT8E/HdP3PYTwPcWRRGA/5Jp5tIL9fv9LwLfAfyTs5t+uN/v/2q/3//pfr9/3hHyTaZT/s59fHbbs26/CQyKorBP3C6EEE9VlR6jPWm22gBOlkdkHXhw19DUV894aJqANX4jM4PiWJGmgdHp7I+P0QECRNJPSmywPFdY45mMrke21LBxVMbRSdoZ8Il0DVpjI8lWEEIs1rSP1ARtNFmSSh8psdZmLTq9D3wP8AsXbvv9wIOzjzuAedE36ff728DfB/5MURTDfr//E8BfYnrJ6y8B/zXwR3l6Z8jA04Noz5p7/tTLaP1+/weBHwQoioJbt269aNlCrEySJPIcXQBrPaaucV3D1s7qTx52dwOnx4bJSPHqazskV8jcOnxY05Sa3na81I1JHMfs7e0t/OekiaUcO/b39174+Fjr0XVNpCxb29Jb4bpb1nN0VeJIYxrFzZu7G39ScvxwTNyJeXU7JWrh7xof10RRhLpxC9WdfRx7FEVsb28tcGVCvBx5jrZLCIHhaEiURHTjjmRJMX2Odi/xvisWz7nZL5jNulv/EeDv9fv9X2eaqfQ54LcC/+7Z538XzynfA+j3+ynTgNTfLorifwQoiuL+hc//LeAfnP3vx2c/49xbwJ2zj592+yGw3+/3k7NsqYtf/5iiKP4m8DfP/jccHh4+b9kLFULA6HA2Rad9myuxerdu3WKVz9FNNR45RqcWUFjfjtdeUIHjQ482E159Lb1UCZ6zgeMjS116rF9uZtDe3h6np6cL/znOBUZjz4fvN+zuP//QVVeekyNL8GBdO/6+YnWW9RxdFWOnWYS97ZpOr50ZRPNgfeDOw4rRRJP71V9MeJrO/buE8ZA66cB4MvP9tre3GF/i64VYNnmOtkujGyblGK01ed6hsvWql7Ry3W6HqpLHoU28nz0oNdPZS1EU/wj454C/wbSP1H8PfNPZ7RRF8Y+KovjPnnX/s55PPwV8pSiK/+bC7a9f+LJ/C/j1s49/EfiD/X4/P5uq9y3A/wP8v8C39Pv9t/v9fsa0GfovnpUQ/u/Av3N2//+Ax7O6WieEwOjUc3JsL1WSIoR4Od4FmipgLSsv3bsoihVbuxHDE8fgxL74Dhecl+4lSXt+n3k7L+Gbpamz0dPJe3LhUFwHSQpxCsdHm72XGDeO2jjStvbMc5aornAq5ukJ/EII8fJCCNRNjTaGLJONjtgMM9c1FEVxCPzcFX/OvwJ8H/Br/X7//zu77c8xnZ737UxL7d4H/sOzn/Wlfr9fAF9mOrnvh4qicAD9fv+HgX8IxMBPF0XxpbPv958AP9/v9/8y08DZT11xrQt3HpCqKsd45JkMPd1eRNrSSTJCbJK6mvaSilt4YpOmit624uihI+9E9LZmy3poao8x0O0teIErluURVRmw1j+zhO88A5WAZKCKa0EpRacTUY7P++Rt5l5i2DhG2rHfaWc2WFyNCUbj0mzVSxFCbLDptD2DQiptxOZQzxpD3u/3/+eiKL777ONf5hk9moqi+K7FLW/hwp07T63yW9wPPA9IlQ6tA3kOo9NAdyvi9bekSZ14nJTvzVfwgeMjx2Ts6PbaeTAPIUwn8QXFm1/MSNPnr9GawMmRpak9nd7yT0aXWRrlXOD0xPPaG8kzS/jOH4+68nS3NvPkXFzOppfvwfS97fTEs3cQcfvVzQuK+BD4ysOKB2PNra12lu5lDz4muvsJ1d5NiC4XOJPSKNF28hxtB+89w/GQqq7Is7yV+9hVkfK99vHe8b0/8IdghvTh52VK/eyFj3/yZRclnghINYHO2UlxbycwGjhGp9ELe6UIIa6urs/K3OL2ZtEopdjajhieeh7cNbz+ZvrciXpNM82OSF4QvNoEF0v4nvVeacz0bxxfg8dDiHMqUuRdxXDguXkrbNwUzrH2aOuJW/q+TQjE5Rir1KUDUkIIMau6qbHWEMfLHWojxKI9MwJSFMXfufDxzyxnOZvrYkDK6E8DUjAt2el0FYf3rZTxCbEgIQTq0j8KCLeZihTbOxHDU8fRoeLWK8lTNx8hBJo6YB30Ou3+neYlyyOqybNL+Kb9pKCz4aWMQjwpyxX1ZNr0fO9gsy5wjRrHqHFs5e3cH0VNBdbg4s163IUQ7eGco9E11lnyTKbMic0y89Gz3+//q8B3ANsXby+K4kfnvahNE3xgeOqpK4cxgbz72bKhbi9iOPA8vG+ljE+IBdBNwJiAitqbJXVRnEwzpgZHjryj2N377Nu1MQFnw7VqqZukCh8C5dizu//4CWoI078xaj3+xkLMUxwrsg6cHDt2b2zOVfQQAsPG4kIgi9sZlIrLMdQ1rrP94i8WQogrqOoKYy2JBL/FBprpWd3v938c6AO/DFQXPvX0hlTikYsBKa0DnacEpGCaGdHbiaSMT4gFqSYerT3ZGrVbyfIIax0P71qyTNHpPl4WouuAbvy1mjJ3XsJ3+pQSPmun0xU341RciMvLOxHDgaOaeHrbm1FGVlmPtoGoxUG2uBrhnQfJXhBCLICxBmM0zjtSeZ8RG2jWyMf3Ar+1KIrldgVfc9OAlDub9sUzA1LnpIxPiMXQjceYQAgQtfRK+7N0exHWeB7ctbzx+Ygkmb6HhBBomoD3kD9jEt2melYJn9EBbTxyEVFcV0mqSDM4fmg3Jig1ahxj7ei29H1OWYNqGmzUzvUJIdZbCIG6rtBWk8XtHPQgxMua9Qj6EdAsciGb5smAVN6drZyk24sIAR7etzxrMqIQ4nKq0tPUgWwNM4qUUmzvRugm8PCeIfjp+4LWZ6V77U0eWJhpCR/TKYUXGB1whmvR9F2IZ8k7EXUdaGr/4i9eA8PG0bhAt6UX6uJqDFpjU8leEELMnzEGY83ZhdXNuNggxJNmvZ78x4C/1e/3/y5w/+IniqL4P+e+qjV31YAUfFrGNz6VMj4h5sGagNaBEALxmmVJnYuiaWBqdOoYdBQ3bqVnpXvhWpXunYvjaTbIcODYuzF9jwwhYM00SLcpvXSEuIo0UyjlOTm2vPbGGtUrP0VjPZXxqBZfpIvLMUHXhL3bq16KEGLDhBComgptDGkiWVJic80a8fjtwO8DvovP9pT6/LwXtc68n06+uUpA6lyaKvKOlPEJMQ9V6c/6Lq13oCJJFd0txdFDR5pPM6cC6xtoe1lZph4r4bMm4Nz1zBwT4iKlFHk3Yjz02NueJF3f94hh4yiNo5u2NDvAe+JqgiEGtb6PsxCinRrdYKxBKYikRFhssFmDUj8KfE9RFP/rIhez7rwPDAeOpr56QOqcTOMT4uU5G6hrj3eQd9b/NdTpxmeNzw3d7Yho/X+lK0tTRRkCk5Fn70aE0QFjPMl6J4aITeQd8Z33IElwB68tpRl2lk+DtsOB4+D2+p7IjBpHaTy3eu3MGo+akmANThrZCSHmzHtP3dRYa8iuY1q8uFZm3alMACnTe46LASmtodN7flPzFzkv45uMHKNTN8eVCnF9VJXHGr9RPYa2tqZ95yYjT7YBgbarimJFclbCB2BMwDsea3wuRBuo4QmUY3jvq8Rf/VXUwzvg7EJ/ZhQp8q5icOLxvr2lb89jfaA0HhXaW5IblxOoK1ynt+qlCCE2zHlAKori1r4HCjEvs17a+fPAf9vv9/8i8ODiJ4qi2IxOmi/hUUCq8hgL3d583jikjE+Iq/Mu0FQBO8fXZBuoSLGzH52Vqm3O73UV5yV8xniMmdaTC9EqzhGdHhLqBvfa20SDQ6KvfxmOH+Bf+xxh5wYsqCQjzxV16RgP3Vr2pxw1jto40ri973NxNcJ5IJUUTSHE/Djn0LrBWku2jlN6hLikWXdCPw38SeATwJz9Z8/+vdbOA1J15TE20OnOd/Mk0/iEuJppXzdPvIE1bkopyQhiGrgPAQbHDu8C17S9lmixaHgETY3LuhCn+JuvY2+/RRgOiL72z4g+fAdVjhbys+NEkeWKk2O3lvuHYeMYG8d23s5+UspolNa4DTzGCCFWq25qjDVEiWRJieth1ktnby90FWvqYkDK2kCnO/8zosem8Q0jdvfW72qnEMsWfKCqAsYEOhuUJSUeF51N4RsPHWmmSGUwjWgTZ1GnR4S6gf0Lk9nSHPfqF1DViOjex0THDwmvvYm/9frc+03lnejR8JVur53BnafxITDWDh9o7YWFuBqDrnGplO4JIebHWovWDc458nzxPQiFaIOZIhxFUXyw6IWsm4sBKbeggNS5R2V89yzdrpTxCfEidT0t6Yqj9vYiEfORnpXwxQnEkj0mWiQ6PZz2G8p6wGffh0J3B9fZRo2OiT94l/joIf61twgHr8CcGmcnKcQpHB853lyjoNRYe7T1xC1+/47LMaHRhBt7q16KEGKDVE2FtoYkkUQEcX3M9Gzv9/t7wI8A3wFsX/xcURS/ZwHrajXvA8MTR1V7vA3kCwxInZNpfELMJoRAVXqMnn85rWif8yl84dp3NxStYg3R8BjXaLix/+yvU4qwexO7tU80ePB4v6ndA3jJY71Sik4nohpPy5nX5aLWsLGMGsd23tL1ek9cTTAqYvZOGEII8XzaaIzR4ANxKkEpcX3M+mz/e0AM/E9AtbjltJ930wypqvI4t9gMqYukjE+I2egmYE1AKcmSug6iWLGzr1723F2IuZo2N6/wnS2eliX1GXGMv/k63jTER/eIhseE228SXnmD0Nt5qbWcDwQYHFtuv9b+htwhBEaNwwXIWtooLqpLgrW4WGqGhRDzEUKgrmu0kSwpcf3M+oz/3cDNoiiudWPzVQWkzkkZnxAvVk08uvHkHYlSXBfS9F20ynmWlLawf+Ny901z3Gvz7TelIkXeVQxPPTdvB6IWT7MDqKxH29DqQHNSjqCqcNvPyYITQohL0FpjnUEBcbw+5dZCzMOsO/n/C/jNi1xI23kXOB046trj/fIDUufOp/EdyjQ+IT5DNx5jAoHpiZgQQixbNHhIqGp8PmOW1FOE7g7u9S/isg7qg3eJv/qrqId3wNkrfb8sV3gLw4G70v2XaVg7Rtqxlbb3PTyuxjjCtGmXEEK8JB88dVOhjSFN25/RKsS8zZop9QPAL/X7/X8C3L/4iaIo/uK8F9U27ixDqqmnGVJ5Z3VX5aWMT4hnq0pPUweyfNUrEUJcS6YhGp3gnIXtg5f7XiqaW7+pOFZkHRicOPYO2j1ifNg4tAvsddq5v1G6Aa1xkWQyCCHmo2kajDVESrX6/VmIRZn1iP9XgM8B7wO7F27f+FSd84BUXTu8Y6UBqXNSxifEZxkT0DoQCMQt7UMihNhs0clDQlXh85frA/WYz/SbOiHcfuPS/abyTjRtQTDx9LbbGVBprKe2HtXi7WVcjkHXuFRGtQshXp73nkbXWGvIrlimLcS6mzUo9QeBby2K4u4iF9M2bQxInev2Ik4HnsP7ltdkGp8Q1OW0l1SayWtBCLECukaNBnjnYbs7/+9/sd/U3Y8u3W8qTiCKYTRsb1Bq2Dgm2tFN2rk+mJbuea0JNy7ZL0wIIZ6iaiqMNcRRIudz4tqaNcryDeBaNTl/FJCqHMG2KyAF0zK+rZ2I8cgxGra/R4QQi+RsmPZ7c5AkckAXQixfdPIA6hrfnWOW1FOE7g7ujbfxaf6o31R0+OJ+U0op0lTR1H6h63sZo8ZRW0+vrRcXvCeuJziVcNV+YUIIcc46i24anHMkqfSoE9fXrJlSPwf8Yr/f/3E+21PqH899VSvmXGB4chaQ8pCtqKn5i0gZnxBTVeWxxpO09URGCLHZmgo1HuJ9uPKUvEtREX7vFn77BtHgPtG7Xya+8eJ+U3GiqKtACKF1V+StD0yMg0Dr1nYursYEY3GxnDwKIV5eXdcYa0jidvbQE2JZZn0F/NDZvz/6xO0B+Kb5LWf1HgtIhfYGpM5JGZ+47rwLNFXAWuj25PkvhFi+aZZUib9Ej6e5iGP8zTdm7jcVx2rav6QJdDrter8cNY7GeNK4Xeu6KC7H07/zzs1VL0UIseaMNRijcd7LxD1x7c0UlCqK4u1FL6QNnP20ZM+H9pXsPc2jMj6ZxieuqbryGO1JovaeyAghNlhdoiZDvFewqubXF/tN3fuIaPCQ8Mqb+FtvcHEcaZxMi86q0tFp2R5n2DiG2nGz1959TFyNcSGaPpBCCHFFIQSqukIbTZpI5qUQ7dqRrJCzgdOBo6odgfUISJ27WMZndHt7RQgxb8EHqipgTCDJX/z1Qggxb/HxfSgrfG/3xV+8YKG7g3v9bXx81m/qa/+M6Ojuo35TUaSIU6jG7dorOB8YNw4FRC3N+FZNDUbjovXZHwoh2kkbjbXTds1x3N7BDkIsy3Mv9fT7/V+G58/lLYriu+a6ohU4D0jV9bSXQZav34ZDyvjEdVTXAWM8cdTeHiRCiM2lqjFUY5yKoC3lF0/2m3rnS8QHt/GvvkXYPSBJIprmuVu7pZtoh3a+tQEpmGZJUTe4vLfqpQgh1lgIgbqp0caQteW4IcSKvSj/+CeXsooVshdK9mA9A1IgZXzi+gkhUJUeowOdbntPZIQQmys6fgBlSdjaX/VSPutRv6ma+Og+0ekx4fYbxLe+QGNSrPUkSTv2PEPtGDaO7RbvwZJyhLeWsLOiEk0hxEZodIMxBqWUXFAV4sxzIxdFUfzMshayKpsQkDp3sYyv14tJUnmjE5urqQPWBCIlWVJCiOVT5QiqCU7FkLT4anfaedRvKv7kfVLrCfvfSlV5dnZWv+8JITCqHc5DFq9+PU/lLFFToaOIaVcuIYS4PO89dVNjnSFLpe+EEOdaevRfnrrya1uy9zTdXoQP8PCeIYR2pecLMS8hBOrSo2tPlssJghBiyUIgOr5PqEpCb2/Vq5lJ6O7g92+T3PuQSJeU/z979x4j254V9v37++1Hvbq7uvs87vvODDDjmcGCMWBAiuXgRHawZQlHibdIHMCYgO0YEUvIcXBik4AVOY5ChOIECQJhiO3AVkwCIlgE2UaI2NgmNgzPO3dm7j33nnd3n67ueuzH75U/dvV53NPnnOpzurqqutdH6nu6d1d1rb5dtWvvtddav+FyHCNMjKdyzQWGZRUVY4IxuGiJk49CiKVXViXWGrSO5IKqEA85H5mYFxEC6QoNNX+W+218Q8fw0C06HCHmwtTNcHOUQi3zmYwQ4lxSk0MoJ3gdQ7w67fJ+rQ9JTLpzjbpcjmOEw8oxqi29dHn35dFkRCgLfKe36FCEECvKOUddV1hriGUFTyEecX6yMc/pPCWkjjzcxmfNclwJFeI0FRNPVQaSljy/hRBnLAT0vbuEoiAswYp7J6I0vn+FZLhLvX+wFBXVw8pRuUA7WdIVqEIgKkY4NMgqWUKI51RWBbU16DiWKikhPuCJGZksy371oc+/92zCEaelLW184pwyJlDXgUAgWtb5I0KIc0uNBlAVeBXDCl7tDp01dJoQbr1PVSy2WqqyntL6pb5CqqsCjMHp1ftbCyGWg7WWuq7x3pNEyaLDEWLpPO044GNZlh0tMfLdZxGMOD36oTa+0dAvOhwhTk0xbmZJJUvc6iGEOKe8R+/vECYTwtpqzJJ6jFKozS10MWH8/q2FhnJYOca1oxMvbwVSVIyhLHDtzqJDEUKsqKJsqqSSFbyQIcRZeNor42eAz2ZZ9i7QybLsl4+7UZ7nf3gegYkXd9TGt3PL0OloWY1PrDxrA1Xl8R5asTyfhRBnq6mSKvFRC/TyJlKeRbU76G5J/bl3CF/8CmpBc7EOK0dpPZe6y3uiFk2GeOcgbT/7xkII8QG1qTG2JoSAlhZgIY71xKOAPM+/NcuyPwR8GPiDwI+eVVDi9LS7msOBZ+e24eXXE+lhFiutnHiM8ZJgFUKcPe/Rg51mllT/8qKjeWFqvU999xb++heIPvyxM3984wLj2hFgeY9NrEVVJVbJiaQQ4uRCCJRlQW1q4lja9oR4kqdemsrz/FeAX8myLM3z/NNnFJM4Rffb+A4co2HE+oYcWInV5F2gKgPOQKe3pCcwQixaCGBqSFuLjuTcUcN9KIumSkot8xSk2URpTNnZxL31FvqVD6FaZ/ucGdaOyjpa0fLuz6NiBKbGJfJ6EkKcXFVXGGdRKKIVrq4VYt5mqpfO8/zHsiz7I8A3Aa8BN4C/m+f5P55ncOJ03G/ju22ljU+srKLwmNoTL/EJjBCLpg720Ls3cZdfhc3Vr+ZZGt41VVJVSehfWXQ0pyLSAd9dpxpB9IXfJfrEp8708Q9Ly6j2bC9z614xIpQlfvN8/M2FEGfHB09VlRhjSJN00eEIsdRmutSXZdl/DPwUcBv4aeAW8PezLPv2OcYmTlG7q/E+yGp8YiV5HyiLgDGBWC5YC/FEejSAwT2itz8Dh/uLDufc0Ad7UJW4qM2Mh05LL1IBFUWUay/Be+/gx8Mze2znA+O6WYRFL2vrXghEkxFO6XNRGSeEOFtVVWGsQSm1vC3KQiyJWS9P/WfAH83z/DeONmRZ9lPAPwB+ZB6BidOltaK3phkdShufWD11FTDGE+klnj0ixKJVBVQFrt1DlyXRW/8a9/GvgPXNRUe22pxDHewRyupcVZ8pBUkUKKJNsLcIn/1t+ANfeyaPPa4dlfNEenn357qcgDU4WS1LCHFCzjuqusRaSyrt9EI806yXfi4Bv/OBbW8B26cbjpinJH3QxmeNVEuJ1WFNwNSBWKqfhXgiPTqAoiC013BXXiWoiOitX4fRwaJDW2n6YBfKApd0OC9VUkciHahdAttX4PYN/P7emTzuYeU4rBxr6fL+/4yKUfN3b3cWHYoQYsWUZYmxBq0juZgqxAxmPRr4FeAHsizrAmRZ1gP+O+CfziswMR/SxidWkZkmUXW0vCcwQixUCKjxAcH7Zul6pXGXXycEiN76ddT4cNERriZn0Yd7hNpAb23R0Zy6SHt8UJh0HVptwu99pnkOzVEIgWHlCAGSJd6nR5MRzgdI2osORQixQqyz1HWFc44kkRX3hJjFrEcDfwH4MuAgy7I7wAD4cuDPzyswMR/32/iGjtFwvgeeQpwG7wPWBoI8XYV4IlVOoK7w+qFyQq1xV14neI9+6zdQk7ObGXRe6MEuoSxwaRc4f1e7I90k/Asboy5dgf1dws7tU38c5wOjyrEzNlwbVFQuLPX/TWUNqq6aeVJCCHECZVlgrCGW1l8hZjbr6nu3gH8zy7LXgVeBm3meX59rZGJuHm7jk9X4xLIzJuA9yEq6QjyZGg2gmBC6W49+Q0e4K28Q3XkP/dZv4D/+KULn/FX8zIU16MM9XGVha+vZt19BWjXVUpMqZnOrQ1jfILz1GcKlq6j4+U6onA+U1lNYz8R4CuOprMf6wLh2GBdQCjZay7tTjyZDqCucVEkJIU7AGIMxBu89iay4J8TMTnTEMU1ESTLqHGh3NYcDz85tw8uvJ9LvLJZWM0/KI+/tQjyB96jxIT4ojn2h6Ah39U2iu9fQb/0G7uOfgnbv7ONcMXqwQyhKfLvHeaySOhJHgdo2CSK1eZlw/R38jWtEH/riZ97Xh2kCapp8KqynsgHjmoRUZT2BafJLaTqJot9e/hkrUTEmVBVha2PRoQghVkQIgaIqqE1NHEvbnhAnIXWFF5SsxidWhamb1r1oiWePCLFIqhiCqQlPWwkgOkpMvUf01mdwv+/Lod09uyBXjanRw32cdbB2vhN4kW6SUs5BlKaE/ha8/duEV15HPbRqVAiBygUK82gFVO0CpXVMTNNjrRREGtqRZr0XL30C6jHeExVjjFact8H2Qoj5qU2NtYYARJGcVwlxEpKUusCkjU8su+AD1oKM5BfiydToAMoJYe3y028YxU1i6s41os9OE1MtWVnsOHpwl1AU+AvQ6hjp0CScbEQ3cqj+NuFwQPH5z1J/5BOPVEHZaQJqbHyzY1YQKWhFEZd7MXrVElDH0NWEYAxOS3muEGI2IQTKqqQ2NWnSevYdhBCPeGZSKssyDXwd8Ct5ntdzj0icKWnjE8vM2oB3AS0Xq4U4nnPoyRCHhlmGqt5PTL1H9PZv4j72Zc1qfeKBukIND/DOw9r5T9pFKuAI7BQRLRyFi5l0XsV87iZ18hITneJpGhgVilak2O5EROd0xxxNRlBOcN3NRYcihFgRVV1ijEGh5VxKiOfwzCOKPM898DOSkDqftFZ0e4rR0FPXUo8ilosxYGo/07m2EBeRGh8S6hofnyCxFCe4l96E4QHR278JdTW/AFeQHtyFssC3z2eVlA2BkQvsmsD1KvD5MnDbBj4/jHhrpHhnrLije1TGot99m812xNVewpVewuVezHr7/CakAOLJCBc4Al9mGQAAIABJREFUfj6bEEJ8gPeesqqwzpAkMktKiOcx61HFL2dZ9rVzjUQszFHb3njkFhyJEI+yJuAcxLFcdRLiOHo0IFQldJsESmVq9oYDhsWY2hpCeMLFhjjBXn0TDvaJPv9bYCQxBUBVNFVSNpyr1kbjmyTUF4rA5wp4d/pxo4B9A6ULWBuxpuBKC660NRvbW2wN75CODxcd/plRpm5W3ZPlXoUQMyqrEmsNWi//Ig5CLKtZ6w+uAf8wy7KfAd7noREveZ7/jXkEJs6O1oo4CYyHnu1Li45GiEYIAWOapcPlTV6IY1gDxZhADKq5xjSpS4blmMoaWnGLbqtFJ23TjlOS+ANv+UmKfelN4jvvoT/3O/gv+dILXx2iBztNlVRv9aukfAgMHRxYmHgoHFgPKkCiFesK0rTZt3oFtVFESnF0iGe768SjfdJrb1F+6R/kIvRRR5Nhk5RKpKVVCPFszjmqusRaS6sl+w0hntesSakO8H9NP399TrGIBYoTTV01w04lASCWgbPgXZOUEkI8To0OoK7w04oe6yyVMYQAG501KlMxGI0YqCGtOKXTatNNW7SSlOSoJzZpYa++0SSmvqDwX/ylcFGXsi4nqNEB3gMrnJQoXODAwaEFE2DiQAdoa0U/VsfuU5WeJqJMRBTZ6UaF6V+hdfc60WAXt331DH+LxYiKEaGuCVv9RYcihFgBRVVgrCW+qO+bQpySmZJSeZ5/64s8SJZlbwA/AbwMeOCH8zz/wSzLtoGfAj4MvAtkeZ7vZ1mmgB8E/gQwAf5snuf/avqzvgX4L6c/+m/mef7p6favBH6cJoH288B/mue5DEmaUZwoiomnKgPtjmQBxOIZE7DWo6V1T4hj6dGAYAxsbgFQ1BW1NSRRglaKTtqmkzYVM1VdMxgfMBgr2kk6/V6LdpISp+0HFVNK4b/okxcyMRXt34WiwHdWLyFhQ+DQwsBCFaCw4AKkSrEVKaJn7EaVAq2aFr4W9v521+7iuj2Sd9/C9S/BeV7m3HuiYkKtI2afbiGEuKiMNZi6xntHkl6890whTtPM77pZln0iy7K/nmXZ35l+/fuyLPuyGe9uge/O8/wTwNcCfynLsk8C/znwj/I8/yjwj6ZfA/xx4KPTj+8Afmj6mNvA9wJfA3w18L1Zlm1N7/ND09se3e/rZ/3dBMRxc1A6HspcKbEcrAlYCzIzUohj1CVUBV5HgMKHQGlqnHck8aOJA60UnVaLfned9U4X5zz3xofc3N/h5v4Ou8MBYx+oLr+K2rmFfvetplTxAlHFGCZDfNCQrkYLow+BoZ0OKy/gegl7NRQGelpxOdFsxM9OSB3ROuDd40kn07+MGo+J79445d9guUTlmGANTsvKGkKIpwshUJbF/QtBQogXM1NSKsuyPw38MvAa8M3TzevAD8xy/zzPbx1VOuV5PgR+d/qzvgH49PRmnwb+1PTzbwB+Is/zkOf5rwKbWZa9Avw7wC/meX4vz/N94BeBr59+byPP8382rY76iYd+lpiBUoo0VUxGftGhCAE0lVIg86SEOI4eDaCqCK0eAJWpMM6i1NPf1rXSdNttNrtrrLebBNXe6IAb+3e5MR5xp9tncuMa4Z3fBXdxLlLo/TswKfC9jUWH8kyVD9ypm0TU+xXcrmBoQQfFpVizlWhSffL9ptIB53XTvvgQn7Sw/S2S9z7fDAI/p6LJaFop11t0KEKIJWeswUwXE9HnuYJUiDMya6XU9wF/NM/zvwAcHaX+BvDlJ33ALMs+DPwB4J8DL+V5fguaxBVwNLDgNZqB6keuT7c9bfv1Y7aLE4hiRVUHvJeuR7FYzgWcCw8tqSCEuC8E1OiQYOz9FeKKuqIyNe0TlBZq/SBBtdbqYJ1lt6p4P4q5/YXfY/93fo3x6AB3zpNTajKEYoxDL23boguBgQ28WwbeKeFGCQMDtVX0dZOM6j1hXtSslGp2uO64aqn1bbCG+Ma153+AJRcVo+YAd0mfA0KI5RBCoCgLamNIZH8hxKmYtUb5Kk0SCh6cJgZOeMqYZdka8A+Av5zn+WGWZU+66XGHVeE5th8Xw3fQtPmR5zn9/urNjpiXbsezv1fR6Wywvi472WUQxzGXL19edBhnrphYqklJK/V0utJKscyiKJL96FkrRoQkwqxvoNd61NYQVTHtVotup/vcP/ZovTnrHOWwzfjWNSamovOhj7K2vkmn26PT7hKt2FXhZz5HD+7gFPirL6OWaPXBEAJjBwPjGdpASaCgGeu0lSo60enOPQoBtIpIYs3a2uOJyDi8Tmf/Du5jn4QXeJ4tI1WVJHFM0VsnWTv7SimtNWsLeFwhZiXP0QeKsiBJYghtWu3WosMRU1prOp3VXaTkPDrJRc1Zz/b+P+CbaNrijnwj8C9mfaAsyxKahNTfy/P8p6eb72RZ9kqe57emLXh3p9uvA288dPfXgZvT7V/3ge2/NN3++jG3f0ye5z8M/PD0y3BwcDDrr3DuNZl/x/vXaq6+LEmpZXD58mV2d3cXHcaZGw0d+7uWVhtqIwNnl1m/30f2o2dL795E7e1iO30YjTksRgzGQ2IVURTFqTxG1OoRbb1EtHObcV2xs3UVHcV0Oj26nR7tTpd2q43Wy5+getpzVI0P0Tt3cVVNiA1U5oyje5zxzep5BxYqD4UDpkPLe5FCK8DB6fylP/DYNsaOPKhjfrpO6VQl4bd+jepjJy6UX2rxYI9k/x5F3CGMxmf++GtrPUYLeFwhZiXPUfDeU9UlVV1RViVp0qIoykWHJaY6nbb8PZaM96eflPou4P/JsuzbgF6WZb8AfAz4Y7Pcebqa3o8Cv5vn+cNzqH4W+Bbgb03//ZmHtn9nlmU/STPU/GCauPoF4L95aLj5HwO+J8/ze1mWDbMs+1qatsBvBv7HGX83MaWUIkk1xVjmSonFsnVT6KhPuRJAiJXnPWp8iHdA0sIHT1k3A87brdOt8nHtHmxdpT/YYa27xmT7JSblhPH4EK0jup0e3d467VabVquD1iv2eg0BvX+XUEwIa9sLDcWHwHCaiJpME1HWQwSsa0VyRquQKhVwLiIEHm8F1BGmf5l05w761QP82vmpkIyKId4YwtrWs28shLhQfPBUVUVVV1hrsNYSxbHMPBXiFM2UlMrz/PeyLPs48CeBn6OZ6/RzeZ6PZnycf4Om0uo3syz79em2v0aTjMqnya73gD89/d7PA38C+BwwAb51Gse9LMu+H/iX09t9X57n96af/0Xgx4EO8A+nH+KE4hgmo4C1njhesRMMcS54HzBWhkkJcRxVjqGuCVGTgCrrGuMs8ZwqllxnjZpAevs6XaWIr7wOSmGMoSgmDEdD4jim0+7S663Randope2VSFCp8QGUE7xKIFpMm3DhmqqooYU6wMSBDtDWiv4Lzoh6Hkp5QtB4r4iix/fDtrtBMhyQvvNZyt//VcdkrlaQc0TlhFo1K1kKIQQ0HSRVXVJWR8kog45i0rQlCSkhTpkKYfaTvyzLXgNeBW7meX4e1gYOn/n18zu083k4GzjY97zyRsz6hszyWbSL2L5XV579ew5Te9qd5T+xveikfe9s6bvvo27fwK5dgjhmbzjgsBjTmfNBcjw5ID28h33lw5jLrzySjDDGUFYTrLPEUUKv22va/LprpOni520c+xwNgej624T9fdz6pWZQ0xmxIXBoYWChClBYcNP2vK6G+DlWzjstIUBVJXQ6Ba328WX3UTmmtXOD+hNfidte/ZmH0fiQ9MY7lDYsrPpLWqPEsrtIz9EmGVVRVSXGWqwzKKVJ4kSSUUtM2veWj/eOP/Nn/0OY4YrPTFmHLMveBP4e8LXAPrCVZdk/B/5MnueS1TlHdARxHBgPPevLvzK2OIeMCZjKs0TzhoVYDt6hx4fTVeJiamswzoFi7gfKttuHEEhvXQOtMNsv309MJUlCkvQJIWBMzWg85HB4QBK3eO21N2m1lm/wqBoOoCzxUXomCakQAiMHBw7GDirXzIuKgF6kSBeYiHqYUtMWPhvzYLHlR7l2D9/uklx7C7e5DStQFfc00WQIZYFfX/0EmxDi+YUQqOuasi4x0zY9jSJNpDJKiHmb9Uji0zTDzjfzPL8KbNG00H16XoGJxVBKEaeaspD2KbEY1gSCh0jaR4V4hBofEowhxE31UVFXVKYijc5mYQrb28Ss9YlvvEty787j8SlFmrbYWN9kY32Tui64dev6iVZfORPeowd3CUVBWJv/1RcfAu+U8H4FtysYWdBBcSnWbCV6aRJSRyIdcP7pibq6fxk1GhLfPXZNmdURAlExxqHOtFpOCLE8jiqjDkeHjIoRRVngnCNNUpI0lYSUEGdg1rO+rwT+Sp7nY4DpLKm/Ot0uzpk4BlMHrJGB5+JshRCwBhnrIcQx9PiAUBaE3hrOeypT40IgPsOTabO2hen1iW++Q3xMYup+rFqzvr7JeHLIzu5tTjIqYN7UcB+qEh+3QM0/+b1vm1lREwt9rdiONb0FzIualdIB5zT+KYcAPm3jNjZJrr2NsotfsfB56bqEusaeUWJXCLE8QgjUpmY4OmQ8aZJRxhjSJCVNJBklxFma9WjsV4Gv/sC2rwL+2emGI5ZBFCsIMJZV+MQZswacC5KUEuKDrEEVYwIxKE1pKmpr5jbg/GnM+hams0Fy4x3i/Z0n3i6OY9bX+uzt3WU4XJK5Y96hBztNlVRvfe4PZ0Ngz0DpYCvWC50XNSulmgSic8+ollrfBlcT33z3DKKaj2gygqrAp8vXYiqEmJ/a1AzHQ0bjIZNygqmbZFRLhpgLsRBPnCmVZdn3PfTl54Gfz7Ls/6ZZee8NmtXx/v58wxOLEEWKKAmMR47+pgw7F2fHmICxnliedkI8Qo0PCWWJT9uEECjqCuMsnQUNEjcb26gQSK5/AbTC9o+fx9NqtTGm5uat92i12gufL6UO7zVVUknnTKqkdg0UHtpKsQL5KKBJSikFzmiS5MmtlyFOMBuXSG5ew159g9BevcROVIzwzhGWcO6ZEOL0NQtzFBhrqE1T5ZnE6UqsGCvEefa0V+AbD320gZ8GKuDq9N//c7pdnENJoiknYalaLsT5Z03AW4iTFTl7E+KM6NGAUBvodqmnA1hBLfSKbr2xjW11Sd7/PNHh3hNv1+uto4Cbt95b7Hwp59AHe4SiIvTW5v5wlQ8cWLAOevHq7NOUAq0C1j376oBZ2yQAyftvzz+w0+YsuixwKkLKc4U434w1Dyqjigm1McRxTCttSUJKiCXwxCOOPM+/9SwDEcslShRl4TF1IG3JwZqYv2blrnAmK4kJsVJMBWVB0BGgKeqK0ta0Fl1SqBR1/xIMPOl7n6P+kMatbx1zM8X6ep/9wR53d27x8kuvLeQ1rg/3oCxwaZvZpxc8vx3TzJLqrkqJ1EPUdNh5CDx99pWOMBuXSXduo1/5EP4MBseflnh0QDA1TpZ6FeLcstY2lVHGUFtD8IE4jolkYQMhlsrMR7RZlnWBLwEeubyY5/k/Pe2gxOI15zqK8ciRtuQKgpg/58C7AFKcJ8Qj9OigWbK+1cV5R2lqfAjLcVCtFPXmFRjcJX3vbeo3P4Zb33zsZlEUs77e5969u3Q7Pfr9x5NXc+Us+mAXX9WweWXuDzdxgZED76G9gpWfSnmC13iviKKn75Rtb51keI/k2ltUn/yqZ2SxFk9ZQ7p3Gz06wBcF/gyeD0KIs2WdpSxLjKmpjSEETxIn6GQJ3jeFEI+ZKSmVZdk3A38HqIHioW8F4M05xCUWTGtFnATGI8/WpUVHIy4CawLWBqJouU9ohDhrajQgOAfrHYqywDpLsoAB50+kFPXmVdT+XdL3P0v1oY/je49XzLTSNqZtuDWdL9Vud84sRH2wSygKXNpl3q1aIQTuGhhb2FjR/ZnW02HnVhNFz2i5VJp68wqtnZtEB3u4zePniy1cCMSH90j3dwjFBGMdZmMblum1JIR4Ic45yqqgrmuMNfjgiaOYKJKKSCGW2ayVUn8b+PfyPP/FeQYjlkucaKqymSsl7VRi3owJWBNod+W5JsR95QTqCq9jQmDhA86fSCmqrau09u/QuvYW1Yc/ju8+vrpdr7vGwNbcuHWND7/5JUTRGbQgWoM+2MMZC5vzr9A6dE3bng6sxGp7x1GqGXhubUzaevYcMNdZw3e6JO+8hfvybViyGS26Kkh3b6GKMXZSULd6hH530WEJIU5Jk4wqqU2FsRbvHHEck0gySoiVMOtRQw380hzjEEsojhXOBqpS+qnE/Nm6eZ5JAlSIB/T4AIqC0F6jsgbrHEotdsD5EylFtXkVpzSta58lGg3Q5QRdFShToaxBec9Gb4OyLLh79+bZLKZx7w6hKvGt+VdJ+RDYNTCxsLaiVVJHtA44N3sVUd2/jBoPiXdvzTGqE/KeZO82rRvvwP49qspQ9S8ROpKQEuI88N4zKSYMR4dMJiOqukIrRavVPpuLHkKIUzHrq/WvAz+QZdl/nef57jwDEssjjpsVs8cjR7uzXFc9xfniXMC6IAsgCfGwEFCjA4IPkLYoxodUpiZNlvhAW2uqrZdp7d8mfe9z0OkAqqmcUTBdyYDEOQ52bjAa3GVzrT/9viZoff/zR7Ydff3YtujR23+QqeHwHr62sLk9919/30LhIFFqZaukjmgVMDbC+9kKn3zaxq1tkFx7G7v90tFwyoWJxoeke7dhMsHWhrq3BoksGi3EeeC9v18ZVVuDtw4dR7QieY0LsYpmPWL4LPB9wH+SZdnRNgWEPM+lGf+cUlqRpIrJyHNJ5oCKObIm4GxAL2P1hxALoooRmBofJVjnqIwhEIiWfQaO1lTbr6DqCuWbad/KBcCjgocQ0N6TOs/tG++RbmzTOUq0heY/CiCE5vOHE1I6Aq0efI1qElLqoW0PJ6m8w3uHb609IdjTY0PgnoHSwVa8+vsydTRXymm09jPdp964TOfWOyS338O8/kXzDO+JlKlJ792ZDjKfUEct/OYl5KqHEKvPe09VV1R1hbUGaw1ax7RakowSYpXNmpT634CfAH6KRwedi3MujhVlEfA+oFf8qq9YXsYETB1I2yAnDkI01OgAJhPC2hZFXWKsIVmGFfdmoRSh1X7qYppJCBSTMddVxJubLxM/6XfzrvlwHoJF+QDOgvXgj5JdAYIHAgRFk9iaJlXW+9DpnfIv+Lg9AxMPbaU4D2+XSjXJQWcikmS2pFSIE+zGJeLr72CuvApneaIYAvHBPdJBM8i8tgHb21p4xZYQ4mRCCHjvm3+DJ/jmXx88xhisMVhniXREq3V2C2YIIeZn1nfqS8DfyPNchgtdMHGs8M5TFp5ub0VOhsTKsabZtUSRtIkKAYB36MkhDkWIEsrJGOMdvXN0NVgpxVqny2A85M7BHq9uXTl+VpaOmo+Hi6k+4GkHJ2qtB6PxaYT8RJUPDCxYBxvJOchIcVR8FrAuBszM96vXN4mH+6Tvf4H6Sz45vwAfossJ6d4t1GSCLQrqdpfQm38iUggxmxDCY0mmEDzeh+bfEAj+wb+B8GDb9CPQvG9EUUSatpZztqIQ4rnMmpT6X4FvoqmWEhdIFDfnAqOhJKXEfHgfsHbRUQixXNRkRKhrQtyiNDXG2XPZ3hppzUanx8FkSCdpsb3eX3RIz+VouHn3PJRIPUTpgPOaEJok1Ux0RL15mfTuDdQrbxB6j6/CeGqcI92/S3S4T5hMqFSE619q2jeFEHN1lGiaOdkUPE1Rq8NNq6EI4f5FhWbsoCIQUKj7i3roKCKOE/SSreophDg9syalvhr4zizL/gvgzsPfyPP8D596VGJpKNXMlSons5XuC3FS1gS8C3IOIcRD1GgARUnYuExRjKhsTTtpLTqsuUjimE7a5s7hPTppi86KVYNNXGDomk7C9jmYJfUwpTzBx3iviKLZi+Vtb4NkOCB997NUn/yKE2S0ZvfIIHNTU3fXZZC5EHPgnGNSTJgU48eSTSEEPGGakHJ413xPqWYs4INXvpquc6FQgNYRcRJLokkIAcyelPqR6Ye4gOJYUYwDznqiWN48xOmyJmCMJ04WHYkQS8JZdDHCaY0hUFsLgXNZKXWkk7YwznJzf4cPXXn1yfOllkwIgbvTKqm16Pz9ffTRsHOriSI3+x2Vpu5forV3i+jgHm7z0qnFpExNuncbPT7ETwrqpIXvX0bmEQpx+kIIjCcjVAHD8bjJLz9U2qQCoHSTbNKKOEnQ06+FEGJWMyWl8jz/9LwDEcsrjhXBB4rCs7YuSSlxuowJeAettjy3hABQ40NCXeGTFkVdUpuaNDrfWVulFOvtLoPxiNuDXV7dvroSSbihg4kDAqTnrHXviFIBa2PS1gmSUoDrrOFbHZJ3P4v7sq+Zrpb4AkIgPtgj3d8hlAW189jepgwyF2KOirKgNoYkjem0Zai4EGI+Znonz7Lszz3pe3me/9jphSOWkY5Ax4HxYWBtjqMhxMUTQsDOPj9XiAtBjwaEqsL3L1MOD7HB0YrTRYc1d1pr1rtdDsYjOmmLS+ubiw7pqXwI7BgoLGycwyopeDDs3LnnqFxTirp/mfbt94j37mCvvPLccehyQrp7C1VMB5l31gg9OUEWYp6MNVRVibWGXq9L6apFhySEOKdmvbz0TR/4+mXgi4H/F5Ck1DmnlCJJNEUhc6XE6bKWZp7U+TyfE+LkTA3FhKBiytpirCW6QAPXkiim22pz5+Ae7bS91KsNDiwUDmKliM9plRSAVgFjo5MNO5/yrQ5ufYPk3bexW1dOXtX0yCDzsQwyF+KMhBCYFBNqU5PEibTjCSHmatb2vT/ywW3T6qlPnHpEYilFCdSjgDWeOJGDQXE6rAkY64mk+0IIoKmSoi7xaZeirqitoZOezwHnT9JJW1hnubl/lw9feZVkCXcQNgT2DJQOts7ZcPMPUjoACmcVcTL7sPMj9cYlOjffJbnzPua1j8x8v2h0QHrvDhQTTF1jOn1Iz3/FoBDLoCgLjKlhuvqdEELM04tkF34c+LZTikMsuThW+ACFrMInTpGpA85CnJzvkzohZqVGBwRjqJMY42yzMPYFu0KtlGKt3cU6x639XXxYvvedPQOFh5ZSnOMiKaCZKaUIWPd8ycEQp9j+NvH7X0DVz27/Uaamdesa6e338QcDyqAx/cuSkBLijBhz1LZnSWQVGiHEGZh1ptQHk1dd4D8CBqcekVhKUaSI48Bo6FnvLzoacV5Y01x1v2gn3UIcqyqaKimdUNQ1lalpxRfzCrXWmvVOl4PJiHvDAy5vbC06pPtqHxhYqB1sn/MqKXgwV8qaGNrPNwTQrG0SDwck73+e+os/efyNvCc52CMZ7BKKMbUHu7aFlNIKcXZ88EzKCZWVtj0hxNmZ9Z3e8mAB0CM3gG8/3XDEMosTTTnxhBDkTUq8MGsDzgVZxVuIKT06gKLApT2qqsQHTxxd3OqQJIrptdrcPdynnbZYa3cXHRIAOwYmFrpaXZh5eEoHnH/+4voQxZj+JZI7N1Avv0norT3y/WaQ+U1UUWDLgrq1RpCVvoQ4c+W0bU8FadsTQpydWZNSHxwCMM7zfPe0gxHLLY6hKgLWBJL0ghyJi7mxJuBsIDrvvS9CzCIE1PiA4D2FUs2Acy3z+9pJC+McN/d3+MjV1xY+X2riAkMHPkDnAlRJHVEqgNc4p4iik8+VAjC9PvFwn/S9t6k+/qmmBMtZ0nt3iYaD6SDzpBlk/kLTJYQQz6Np26uw1pCmy7vIhBDi/Jl10Pm1eQcill+cKAKKycjR35YDRvFijAkYE2h3L86JnRBPosox1BVOJc2Ac3fxBpwfp5kv1eFgMuLW/g6vX3oJvcCV146qpNaii7Xf0soTiHBWE0XuOX+IxmxeId27hT7cR2k9HWReYIzBdDZkbpQQC3LUttestpdKR4QQ4kw9NSmVZdk/4fG2vYeFPM//7dMNSSwrrRVJEhgPPf3tRUcjVp01gYDMkxICmgHnFBOqdA1bFs02eW0AoJVmvd1jMBmye3jA1f5i5ksd2sDEAwHSi1bhqZpqKWtj0tZzJqUA21kjTju0Pv87sLGJn4ypkw6+fwnp5RZicYpCVtsTQizOsyql/u4Ttr8GfBfNwHNxgcSJpiyDzJUSL8S7gLVBTkGEAPAeNT7EB0XhPaWpSWXFo0fEUcRau8vucJ9u2mKtc7aHHz6E+1VSGxesSgoeDDt37gVPVpWi3rpCa+8Wpqyw65dAToCFWKja1NR1hbWWVCp0hRAL8NSkVJ7nP/rw11mWXQK+h2bA+U8B3ze/0MQyimNFOfbUVaDVvngH5uJ0GBPwrqm+E+KiU8UQTI3VMbU1BAKxnKg/pp2kGGu5ObjLh+JXaSVn1+o1sFB6iFHEF3S/pVXAuIgQeKEB7z5tU7zywVGlQohF8N5TlMW0bU9W2xNCLMZMM6WyLNsA/grwncDPAV+R5/nn5xmYWE5RDGgYDx2ttsyVEs/HmoAxnuacUg6AxMWmRgdQTpgkPapiQqIXO8x7mfXaHQ7GI24Ndnnz0svoMxgGb0Ngz0BhYesCDTf/IKUDWIW3iih5vmHnQojlUhyttidte0KIBXrWTKkO8JeB7wZ+CfhDeZ7/9hnEJZaU1ookVYzHnu0ri45GrCpjAsFDFEliU1xwzqEnQ2xQFNZinZUB50+hlWK902UwGbIzHHB1Y2vuV/b3DBQeWkpxQYukgGamlCJgXEyUmEWHI4R4Qffb9pylJavtCSEW6FmXY98BIuBvA78GvJRl2UsP3yDP8388p9jEkopjRVUEgg+oi3yELp5L8AFrn76CghAXhRofEuqaQsVY51BKSfvEM8RRxHq7y95wQCdtsdHpze2xah8YWKgdbF/gKiloWvaUClgTQVuSUkKsMu89RTGhMjVxJDMMhRCL9aykVElz7vgXn/D9AHzRqUYkll4UK7zzlJWn05FSX3Eyxga8C1zAWcFCPEaPBoSqpIg7VNWYNJZM1mR+AAAgAElEQVTWvVm0khTjLLf2d2jFydzmS+0YKBx0tXqhOUrnhY4Czsv7vhCrrignGGvRShNJ254QYsGeNej8w2cUh1ghcQxKw+hAklLi5KwJmNoTnd2MYiGWkzVQjDFeU1kLBDk5OIFeq8PBpJkv9call4lOeb5U4QJDB9ZDP5GMFDSVUsFrnJNF884LhaelJ7TUhIBm4texQVqIz7Omba+etu3J31oIsXgy0EWcmFLNXKli4hcdilhBpgbnIY5l9yMuNjU6gLpirDXGGUlInZCazpcaVwU7w3uEcLpNwXcNTCysS1nnfUo17/vOyXN11WkcHX1IP96hpwd09JCN6C6X4+v09D4au+gQxRwcte3VpiaOpDJXCLEc5KxQPJc4UdRVwDlJTInZhRCwVqZJCQFN656va0qtsc6RxjLX46QiHbHe7nHv8JDDYnxqP3doAxMPBEhlduJ9zVwpsEZOZleVxtLVB2zEu/T0gLYeofBUocfYb+NRbCe3uRTfoKOHKOQ47zyZlBNqW6O0tO0JIZaHHFWI5xLFCu89ZRHorS06GrEqnAXvwoVewUoIAOoSqoJJCPcHnIvn00oSrEu5NWjmS7VfsB3Fh8COgbGFvlRJPUIp0NrjnFzTXDURhrYek+qSiIpYOYxPqPyjB3Em9LCuQ1sPuaSvM3Z9xn6LOrQBeT2ssrquMXWNc05W2xNCLBU5qhDPJYpARzA6lCtoYnbGBIzx6Au+ipUQejSAqmKiIkpbz21Q90XRbbVRKG4OdnD+xd6XBhYK31y1iyWD/hitAt5HnHK3pJiTWFWsRffYiPfo6QGpmuDRVKGHV8fvdwKawvcp/Dq96JDLyftsRLvEqj7j6MVp8d43VVKmJpaqXCHEkpGklHguzVwpTVlIUkrMzpqAM5DI8ZC4yEJAjQ6pq4paRRAUWiqlXsjRfKnS1Nw92Hvu+VIuBPYMFBbWIzlEOo7SgRAU3slzdnkFElWyHu2xHt2jqw5JmWBJqEOPwGxJcE/C2G9hQot+tMOl+/Om3JzjF6dtUkwwR217Wtr2hBDLRdr3xHOLYyjGAWu9DK0WMzEmgEJalcTFVk2aAec+UIeaRIbNnopmvlSXe6MhnbTFZm/jxD9jz0DhoKWUtBk/gVIBRcDYmCg2iw5HPCKQqoK2nhCpmlRVQMCEFuEFDvltaDMKLVpqzHZym9KNGPotSt9Frm8vv6quqE2Fs45WS9r2hBDLR46ExXOLE4UPgWLsWe/LQYl4OmcDzgVAej7ExaZHB/hiTBHFOGtptaR177SkcUInTbk92KOdtE40X6r2gYEF42FLWoyfqBl2HrA2AiQptQwU/qFklCFRFQB1aAGnVRWjqMIatfO01ZDL8ZiR6zPxmzJvaol57ynKgtoYEmkTF0IsKckkiOcWRYo4DoyG0sInns2YgDMBLS0x4iLzHjU+ZFIZDAqt5PVw2rqtNlppbu7vYN3sbUa7BiYOOlohxZxPp3XAy7DzhVM42nrERrRLLxrQ1kNiaurQoQ5dTi8h9UBAU4Q+hV9jLRpwObnORrRHhMybWkaTYoIxNVprtJbXrBBiOcneSbyQONGUpSSlxLNZEzA2kCRSKSUuLlWOoa6ZBKitoSUD1k6dUoq1+/Ol7s00X6pwgUMH1kNHVtx7JqUD3mu8jBZaCI2jow/px7v09D5tPSLCUocuhg5nUbX0YN5USj+6y+XkOj09QMm8qaVxv23PeRIZbi6EWGKSlBIvJI7B1gFTS2JKPJ0xzYmhVEqJi0yNBtSjIfW0jULmq81HpDXrnS77k0N2D/efmZjaMTCxsC4JqZko1fz/tE4GJp8ljaWrD9iId+npAS01QuGpQxfLIlroVDNvym+jCGwnN7kU36StR4AcFy6S8+6htj1JSAkhlpvMlBIvJI4VBMVk7OinkmwQx/M+YG0gyDGquMi8Q48PGVtHFSlacuV6rtI4oddqc+PeDhtpl0vr/WNXnRrawHi6b0pluvlMlAooBdZGpKlUxsxbRE1bj0l1RURFrBw2JNRhbdGhTR3Nm+rQ1kMu62beVFNJJYO1z1oIgWLathcpadsTQiw/SUqJF6IjRZQGxkNPf2vR0YhlZUzAe5BViMVFpsaHuLqiDM3w2UiGzs5dJ22j44idwT0qa7i6sUXrof/vPgR2DIwt9CUhNTOlQGuPs7JTn6dYVbT1mETVxJRo5TEhoVrSRE8govCbaAxr0QHdaMTQbTFxfRyShD8rdV1TmxrnHa10OZ8rQgjxMElKiReWJJqyDIQQpBVFHMuapsVTzsHFRabHB4ymrXvRDHOOxOloJSmb3XUOixE37hmu9rfptToopTiwUHiIA8SSlDoRpQLORYSADIY/VYFkmoyKVU1ChcJjaGHDahy2N/OmNolVyWZ0l64eMnRbFH6dMIfh6+IB5xxFVVCbmjSZffVRIYRYJKnnFC8sjhXOBupaTrLE8UzdtO5FMk9KXFTWwGTExHhq50ilde9MRVqz2V3HB8+Ne3fZHx9ivGPXQGFhPZZ900lpHQgBvJeM1OkIpGrCRrTHWnSPrj4kVQWWlJoeYeWuIyts6DDyWygcl5KbXIpvTedNyfHiPIQQmJQTalMTqUguFAshVsaqvcOJJRRNn0XjkaPVkgN78ajgA9bKIai42NT4kGo8ptYRSsmA80VQSrHe6VHUFbcHe9wpDWXcp6UTpEjq5I6GnRsTEUV2wdGsMk/KiH60S6QMiSoJKOrQgnNRVaSpwjq1c3T0kJYeM3Z9xn5T5k2dsqquMKbGS9ueEGLFSFJKvDCtFXEC46Fn+9KioxHLxtqAdwGZsykuMj0aMCkmVFFCEkmV1CJ10hboiC+MxnhleGPjEiBtLielFGgVsDYGJCn1vNaiAzrKYfWQEDR16HL2q+jNXyBi4jeJqFmL9unoESO/xcRtyLypU+Cco6wKjDHStieEWDlnkpTKsuzHgD8J3M3z/PdPt/1XwLcDO9Ob/bU8z39++r3vAb4NcMB35Xn+C9PtXw/8IM2lo/8lz/O/Nd3+EeAngW3gXwHflOd5fRa/m2jEiaauZK6UeJwxYGqPdCuJC8tUuMmY0ge8DsTReah+WG1DUnSaostD7h3eob+2TbvVk/evE9I64J1ccXhesapIVEkcPJNzmoz6IEfK2G+RqpLN6M5D86bWZN7Uc3rQtmdQWst+TAixcs7qSOLHga8/Zvv/kOf5p6YfRwmpTwLfCHzp9D7/c5ZlUZZlEfA/AX8c+CTwH0xvC/DfTn/WR4F9moSWOENxonAuUJXSpCUeZU3AOYgiOUgSF5MeHVCMDqmUJtJSoLxolYeR06gA/c4aSin2D+8yHO/jvVt0eCtF6YD3Gu8XHclq6ugxCRVWtbkICakHFPX9eVOWS8kNtuNbtNQYafY/uQdte55ErgAKIVbQmSSl8jz/ZeDejDf/BuAn8zyv8jx/B/gc8NXTj8/lef6FaRXUTwLfkGWZAv4t4P+Y3v/TwJ861V9APFMcN6X846Ec0IsHQggYE2SGjrjYhvtMqgoTxaSxJKUWbc9FVC7Q1U1lbzvtkiYdhuN9BsNdrDWLDnFlHM2VslYqXE4qVhWxqlCEFRxiflqaeVNjt0lbj7icXGcz2iFW1aIDWxlHbXtVXZPKEsdCiBW16HfB78yy7JuBXwO+O8/zfeA14Fcfus316TaA9z+w/WuAS8Agz3N7zO3FGVFKkaaKychz6eqioxHLwlnwLshy4eLiKidUkzF1AIWS5OyCjb2i8AqNI3noT5HEKZGOKKoR1ho21rZpt7qLC3RFKNXs362NSFO5KHUSHT0iocLQuvBNa828qS0iatajXdp6yIG7TOHXkYXCnyyEwKSYYIwhimW1PSHE6lpkUuqHgO+nqdP9fuC/B/4cx9cvB45/VwpPuf2xsiz7DuA7API8p9/vnyxq8URJbJmMHNvbm2hZyuhUxHHM5cuXFx3GcxuPLOWkoNNRtNpyYHkeRVEk+9GnqUfs2JrQ6dLv9IhkntSZ00rR6XQIAe7WCu8D27EmOuZ9qt1uU5RjRsU+caLpdTfQSvZdTxNFGqVi1takbWhWMSVdpYlDilXNLLNOR1ZLgzaOdVoMeY1dxgQm4QoOqQA6TlFMiBJN4hPa7fk+f7TW8hwVS02eo8vHudkvVi0sKZXn+Z2jz7Ms+xHg56ZfXgfeeOimrwM3p58ft30X2MyyLJ5WSz18++Me94eBH55+GQ4ODl7k1xAPsSYwHDquv1/T7cmJ12m4fPkyu7u7iw7juQ0PHIN7lnZXUVaSqDyP+v0+sh99ghAI168xOBxSph10LetvLEKn06EoCg6cYmgjsA4bPXm9uEinOFNyd+cm3c6I9d4mUbTowvLlZa3GuYg4GUtV7EwCG9E9rDqkpEWgpNNpUxTlogNbGgUpEdDRN2n5ewz9FQq/xsWau/V0zjmG40OKsqSVtub+/JHnqFh28hxdPieZ07mwy39Zlr3y0Jf/LvBb089/FvjGLMta01X1Pgr8C+BfAh/NsuwjWZalNMPQfzbP8wD8E+Dfn97/W4CfOYvfQTwqikFHMBrKxFPRMCaAzJMSF5QqRhTFmApkxb0FcwEGTlPawCzXTNKkTSvtMi4OGRzexRiZcfMkWgVCAO9lPz+LRFVEqkYpZLW5p3CkjPwWkXJciq/Tj3aIkHlvcNS2N6aua5I4kWMsIcTKO5NLf1mW/e/A1wGXsyy7Dnwv8HVZln2KptXuXeDPA+R5/ttZluXA79BcyPxLeZ676c/5TuAXgAj4sTzPf3v6EH8V+Mksy/4m8K+BHz2L30s8SilFkmqKsSSlBDgXcC7IQjri4hoOKIaHmCihKysiLdSB01Re0VZu5lqLOE7oRuuU5YR7B3emc6Z6cgL4AUo3kxSsiYiiJ9WfiUZoZkmpkjq0Fh3MCtCUYYMo1PSjXVpqwoG7QhW6XOSqqaouMdYQQpCWcCHEuaBCuNBnjOEzv35t0TGcK1XpmYwCH/lYShzLHI4Xtcrte1Xp2d+1uACt1sU9eDzvpH3vCbzDfP432bt7l6Ldo5PKCeiixK0Obw8NhfVs/f/svTlvZdu6nveMZjarJatYtc8+R5auGlxIAgQYkAE7dSgbBuyoAjuwIqcO7cCAEv8BR8oMSZnrB9iBIEBwYkdKDPvCxj336ursrjqSq5vN6D4Hc7F27X127SKrFrkajgcgilxFcg2uNeeYY7zz/d5P333NIyI43xJiYDY5ZzI6Q+t8ffsQ11uMDUym2VH2a5SqZWKuKFWPkx+D9HPZyW1IjPUKSKziBev4hLT3fk0PT4iB9XpF13eUZfVgInk+RjOHTj5GD4+UIv/VP/4v4RZ3EfKqKrNTrFWIQNtkt9Rjx3vBB6Gwj1r4zjxSVLOm2WzoUJT28W2cDonLoOgTjD7TtqmUoirHlLZmubpisXpLiLmM6EO0FmLMjo1fR6j1ZitIZZH67miadIaTEef2NU/tt1Sq2fegHpSbbnvOe2wu28tkMidEFqUyO0UbsFbY5FypR09wQ+meNnmayTw+4uItfbMh2Qqj82Z9X/QJlgEkJr60AWhRlIxHU5puw9XiFb1rdzPIE0BpISVNypf+j1KqDqMcIgpyltRnE6RmHZ9SqY6L4htm5h2K24fpHjNdP5TtJUm5bC+TyZwUebeY2SlKKWyp6drsjnnMpDS4pDKZR0kMdMsrXEwUuWxvLySBZVS8CoYuwuQzyvZ+Ca0Nk9GMmBKX16/YtEseeQwCAEoNr0F2S32MH11SnjwnfCmCppFzgpSc21c8td9RqtMWiUMMdH2Lc46yKPc9nEwmk9kpuaYgs3OshU0rBJ+wRdY9HyPBCymBym9/5gHwSbAH1OVRVle0zQavDSObN+kPSRRYJs0yKpwofBRmZcDu8NBQSlGXY3zohlI+75hOnzxqR5xSglLgvaEoHodr5S5UqsUqx6Bf5gvjrvAyIsSSsV5S6Y5FeEaTzpATe40/LNt7yG57WkUq7aiMY2QbMIouVif3+mYymf2TRanMzjFWgQibTeLsPF+4HiPeC75P5Jt5mfvGxcRfLHrGxvA3zg7jgHNXb/Fdi6qn+x7Ko8HL0GFvnTR9gpgSJcK5Fmpj6XfcFE4pRVmM0MqybpeE5JlPLyjsYRyDD41SQ65Uyk6pX2BwSRWqx8lo34M5OQTDJp1TqpaL4nvK0LBOF3ip9z20ndH1Hc47hPvvtmfeC1E9VgesChQqUFvFqA5sYs0mTGhjTZS8jcxkMrshzyaZnWOMwhTCZh05O8+H2GMkeEESmNyBMXPPXHWBxkf+cN1TW8VXk2K/A/KOdnVNHxNVkct07ps+wSJpNlsxKsVErYT5A0091haM9YzOrbm8fsV8+pS6Gh+Ma+8hUSoRo0FkEKkyA5VqPsiSyi/M/aBwMibEiolZUOuWRXxGm+ZH7+oJYSjb895T3VM5uFGByjgq7bA6UCiPVZGEIiZDKzUpVvjUMLY9U9vQx5J1nNCEES6V5GM7k8l8CVkxyNwLRaHpGkFEHuXi/DEjIgRPXp9k7p2QhIWLxAizUvNnbxtqO2Ve7c+tEa/f4LqGZB+uVfdjQwRaUVxHTZsULgkqDWLUPt56rTWjaoZzLVfL18wnTxiP5+hHVr+slRAEUlIYk3O2BtIHLqnxvgdz8iQMm/SEUm24KL5jHVpW6SnhSLsd/rRsz+70mvJLQpRRCUEIydJKzc8Xckks62BRCLXuuKiuOCuWrMOENoxpc2lfJpP5TLIolbkXTKHo2oR3QlnljdljIniIUXJsRubeue4DnU9UWjGpCr7bOP7vNw3/8LcTqj11fWwv3+C6jmJ+sZfnP2WSwCYpFknTJ0UXBUNkoqDYc9WYUoqqGqN9z2L1Dh89s8k51uzZufeAqG2YfPAGY3ZcL3mkVKrFKE8STb5T81AonEwJsWJqrql0wyI+p01TjmVhkiThnKN3Pd57EMGYL9+y2Q+EKPOBI0oAnwxeKm5znAqKNo1oU02hPGfFirNizSbUNHFCG2pCLu3LZDJ3IM8YmXvBWgBFs4mU1XEsAjK7wXvB+7Q9BjKZ+yGJcN1H+ihcVAZQ/GZc8s3a8WdvW/7B8zFWP+wmMLUbunZNRFHtYAORGYgCq6RYRI0XRR+FQiJnCvakPX6UoqjQxtK2K0JwnM0uKIvTybb5NZTauqWCoSKLUurIXFI3XSRPxeGZKFinJ9RqzbPiW5bhCet4QeRwheKYIn3f47wjBE8IERRf1G3v14UoS/tFOWcKLyU+lGgCI9sxsw1dUW7dUyP6XNqXyWRuQV41Z+4FrRW2ENarxPnTfY8m85AEL8RIdshl7pWVi/QhUfBjTovVit9OCr5dO/7iuuNPn9QPusHqL1/jNw1S5TDjXRC24eWrpHEJQhQKEufmsAtEjDaMRzPafsPl9Q/MpxeM6unJbPZ/jRx2/iOVbrDKkWQQzQ+ZGBPXmw4FzCc19tDU3s9G0ckMEx1z845KNSzTc7o05ZDekxACvRvCzH0IpBRRSlOW5WfMG/KjEGUcRkVK5balebsQon6ZhGUTpiiESnc8q67wxZJNGNOESS7ty2Qyv0oWpTL3hi00fZdzpR4TIoL3Q2vw/J5n7pPLLtC6xLO4ob58i0oRlGKsFDYqXl0qzq5KfldrtgckKJCbnB+lt3sS9cH/q/dfywef/9L/f/j1kF+s6a7fEnxPNXuyp1flNPij8PKUqBGm5pC2kb+OUppRNcX5juvVG3xwzCbnaH3ago3SQvCGlEA/4v2nIlGpQZQ6dJdUSonFpsMHj+s7eu94MptSl6ezRYiUrNNTar3imf6WVbxgFZ+Q9rgNEhF88PSuJ3iPD46Yhu56VXlXd+VPhSirhq55RkVEKXy0uAfK1RIUXRrRbUv75sWKebFmE0bb0r6KIIfrVstkMvvhdK44mYPDWkW7SfSdUI+OZSuR+RJihBQFcsZt5h5Z+0jX9Yzf/cA4rknOExIgoBAmwDxp/vw7TTWOPNVx+E/U8K/AzUGqtg8NLcN+/DaFAv1zEQpQW1FBD4+FlOhCpIsBHwNJF1mQ/Uza9GN4eZ+AbXh5faTihlKKqhxhgmXdXBOiZz59SmE/vxTn0FFqOK9iNGgd9zya/VHrzVG4pJIIi02PC55CJ0bTEaum5+3VNWezKdPRKTVs0HTpDKN65vYNldqwiM/pZcxDvkciss2L6ggx4JwHBGstRXGXbZlQ6EClbxxRgUJ7DAlRCpcsPu1zrvlZaZ/JpX2ZTObjZFEqc29YO5gRNutIPTrSXUXmTgQvhJAwNi8yMvdESly/fk14/Y6nbkVvSvzkGfwsw2kiwtLB/4XwD+cwNnc4JkWAOCRrb59z+FxAEiEGeu/p/RBC62IgxoBSimJ2trM/9TEg2/Dy6214eR8FfSDh5bvC2oKxntP1ay6vXzGfPqWuxie02f8RpQanbPCaonicopQiUen24F1SIsJy09F7j1WJciuIzCcVm85zuVjiwoTz6QhzQra3KBWbWDDSS57pb1jGCzbx/N5dUykletcPzqgQCNGjRGELi7m1g/JGiOqpjMeoQKk9moQwCFGOw+s0mLBs4hR+XtoXxzRhTBvqXNqXyTxysiiVuTeUVhSlolknLp7vezSZh8B7IXioD3cdnjliVLPCvfmeZtFD1+EmT5CPlDkopfi6FP7QK/6fjfDvT4XitsHnSgEWbvYJBmJKdL6nDwG3/QgiKGMpyop6x+26T530s/DyLgpWIjMF9gT3JlprRvWM3jVcLV8znzxhPJqjT2izD9uwcy3EaAG/7+HshVpvMPTEA3ZJiQirpqf3HkOgKn8sp1JKMR2V9Daw3mzwPvBkPqG6k4vnsBE0TTrHqo5z84pKbVjG5/ciIoYY6Pse7x0+BkIIGKUpi9u60IRC+w8cUZFCOzSCiMKngsSxKPiKPo3oU02hAnO7Zm7XNHHEZitO5dK+TOZxcjpXmMxBYq2iawVJgnrgTliZhye40+rekzkQgke/+x61XnC57NnEimr+FDG/vhDXSvHbUvimV/x5K/zdsaDvcGzGlOi9o/MOFzxhW6IHYI1hXJ5SacvDEASWUbNMCp8ULgolkTN9eJ30do1Sirqa4L1jsXqHj47Z5AnWnNYmTCkhRjNUxD6y00MRtwHn/qBdUpvO0TmPEv8TQepDqsJijWbVON5cBc5nUyb15wRvHy5BajZSMtILnulvWMUL1vEc+UKRR0Teh5d774fS7pTQSlOVJVqBVhGFoJWglKBJP/t3eNyo+BMhCgGXyiMSon4JhZcCHwo0kdq0TKuGrixZ+wltHNHHXNqXyTwmsiiVuVesVaSYaNvEeHLMF9DMp4hRCFHyGiKzO0RQi3eY69dI09B74ao8IyZLfUsFo9SDY+qbDsYa/uQTTYdSSvRhEKJ8CPgQcHFwfBhtGGUh6rNw2/Dy9baTXkyJisSTIwov3xVFUWKMoWk3hOCYTS6oT6hjo1IJEU1KCmMeV8Dg4JJyB+2SajpH0zlS8oyrX8/AM1pzNqnYtI53iyXeTzib1ifl8LtxTRWq44l9RakalvE5Xj4VNp4G4YiEUgmFoCQOgeW+g+SwcSiNPKs1xuj3QpMiAWy/TmgSWgtKEkr9JAERBJLoI3NE3Z6Eobkp7VMdz6pLfLI0ccwmjOlCdZJ/dyaT+SlZlMrcK8aCNrBeZVHq1AleiEHQ2RGX2QGq3aDffQ9tQ2pbYjXhshzTOajueIyNjeKZhT9vhLEVnhc//fkkaZsRNTiifAy4cCNE6SxEfQFtUiyiotl20jv28PJdobVhMprRuYarxSvms6eM6ylKHf8Lo/UgRAWvMebx5Epp4gdZUtN9D+cX6Zxn3TpSDIwqc6t5TSnFdFzRucBis6aPnqezKaU9pTWdwsuIEEvGekGlOxbhgkQxiE6kwdG0/XwQlgRIg3iUIjEOGYM6OQqJaA2mUGhl3jfUkPdK09ClTmTo9BpF4+MgcfFos5UUvYzo/YhCeWZ2zcyuaLa5U00u7ctkTposSmXuFaWGXKmuSfseSuae8V7wThgifvIGPvOZBI++eoVaXiNtQ1IWOXtGQnHdgotw8RlB+ueFohf4s7UwmgtjDe7D0rw0hJeDoFV2RH0pXYJ30dBtS/SQxFgJ5SntY78QpRSjaoLzHYvlW7x3zCbnGHPcSzOlQCshBgs8HlGq1hssjpCKg7wE9j6wanpidIxLfWe3U11aiptyPr/gfDZlXJ9Wt1HBsElPKFXL0+IVQYpBKPq54W9rZQpRaPpI5yMhCEkSWluKYkRSmrDtj/GJJ838jJ+W9nXvS/s2fsI6jPfcVTCTydwHx73yyRwF1irajRBDwpxigm0GGJxSAObUg2Ey94MIanWFvnwFXUPyiTQ+g2JYfF57oY9QKfXZOTXPrPCH1vNv3vb8ncqjJOK8J5EwylCX1Z0ypzK/jBP4IRi6MGTsTIGTMlXsmLKo0cqwaZeE6JhPLyiL3XfQ0gSmdkETpwS53w5dWgsxPZ43XRModYtRHsdk38P5I3yIW0HKM6o0+tbd3n6KMZr59INyvjBmPh2d2LypcDLGxY9ngjkfaZ2nd4GYFApFaRSVPa3MrX0zlPZNAKHWHU+rS2Z2xQ/db3BZmMpkToosSmXuHWsVkoS2TUxnWbA4RVISQtj3KDJHS99i3n4H7QZpW2I5gbMfN3YiwlUY3DdP7uiSEhFi9Pjg8MExi5Hvu8D/2wt/sxbqO7XjznyKKPDKG7oINYkqT/m3wtqCiZnRdhsuF6+YT58yqiY73OAKU7tgZJZM7DU/dH/rXluwKy0Eb0gJTih+6KPUekOBIx5geVGIicWmwwdHXagvnu+0UszGFW3vuV6v8SFyPhtTnLjyLCL0PtL2Hh8iMQa0itSFOblmBYeHott27ZvZNb+tX/Ft+3Uu58tkTogsSmXuHW1AW2GzFKazfY8mcx8EL8QonEAcSuYhiXEo1VtcQtsQlSecayYAACAASURBVEXmz/j5gbSO0CcwwG3ipAYhKuCDIwRHTBEfHZISWimeVSVvUsE7Jfx19XjKi+4bEXgVDG1SWIlZkLojSmlG9ZTet1wvXxPG50zHZ5/tavmQ2mwodEehPKVpmRdvWPjf7GDUv4xSg3M2RoPWp32O3bik9AFmScU0CFLBe6pCYT/RsfQujKqCwhpWTYsPgSfzKaPq9ESCJELXe1oXiHEQo4wWRqXGmOzWeUgExSpMmBcrfjt6zXftb4iSt7KZzCmQz+TMvaOUoig0bZtzpU6V4AXvEsXprUcz98SPpXotqXekyRyKX+52dBmgiXBmPq5IiQgx/VSICsEhMkTHGlNgtnfyC+BCJb7vNWOleVbkuWkXvI2aTVSQIpMsSH0WSinqcowPjlVzjQ+Os+lTrP38za9RnrFZUemWNk2JWC7K17Rxikv3U2qmlKDUEHZeFKctSo30BktPlMMSKFKSwSHlPaURCrv7Jb81mrNpzbrpeXu94Gw6ZTY+jTy+GBOt83QuEGKEFLEG6vp2AfGZ+0HQrPyMebHi69Ebvm+/Islpu/QymcdAFqUyD4IpwK2FEBI250qdHN4LksiZYZlP47qhVK/ZIE1DLEdw/pyPJQM3UWgSKBE0gyNPRBDS8K8IKSVCdKQ0tONOKYFSWP2jEPVzJlpwIvxlp6m0MHtkret3zSIqllETY2Ke9wdfTGFLjLZ0/Zp3i1fMJ0+pq/FnbIYTM3tNobptqYvCpZpC9XxVfct37d+5l3br78POowX8zn//ofBjllTEyS+L6vtARFg2Hd4HrE4U5f0t92/K+RrnuVoucH7C+WyMPcJ8yZsSvd4Feh+IKaARCgNFmcWoQyGhWfopZ+WKr6o3vO6e38s8lslkHo4sSmUeBGsVSYR2k5idHd9CJfNxRIRwunuOzK5IEX31Br18R9xs8AnS+IykFMkNjqYkafvv8HkS4XWfeOuEGmGpgQ+/LyVE0lA3phRKKYy2FOXtQpzPdcKJ4fet4e+NA3Wemj6LJineBYOLiZmWQ2w8dpRorRnVM3rXcLV8zXzyhPF4jr5DnfTErLC6Q6lESDeiiaKNM2b2HefFKy79b7mPdnFqG3a+PT1PkpFeY3H4A8q2GQSpnt4FtApU5f2PTSnFpCoptGHdNvgYeDqbUt2jGLZLfIh074WoSIoRrRK1Ndh7cJhlvpyEYelnzIoVCc2b7tm95uRlMpm7Y9TtA4fzTJt5EIxRWCusV4nZ2b5Hk9klIUCKcrKbjszHGbKbIiF4UkqDWJQSKQkiiZTiIBw1S7h6S+o7Yu+I1QgxBbJZIAIxReL2Z2TbH1uhCAKvg8XFSKm3fgsFCg1qCOxVqrhza/MblIJnJvJDMPxlZ/jTUeSOOeqPHpfgdTD0UZgo4VcqLDOfgVKKuprgfc9i9Q4fPbPJ+a2ClQvVUZsNperof1amN3S1mnNevqWNM9q0+8BHpRKSNCkpzAk6EQ2eUndoFQhyOB331q2jcw5FoCoedplfFoZzU7Pa9Ly5WnA2mzAdHWY5X0qJzgU6HwghEWNAkbAa6sqgdd4iHTpRDOsw5bxcEUXzrr/gPgT2TCZzN4wKTGxLodpb/0yecTMPhi00XTM4HA5xgZL5PIIXXEiYPJucPCklQvA41+O9w3vHen3Ner0iiSApDUGwMohRKniK9RW6axHn8KYi1aMh4DwllBpaaSulKK1BK/UTgelt0IBmbu4vNNsoeG4jr4LhD87wJ2W8VZh6BoLAD8HQRWFMosiv271RFBXaWNp2RQg9Z9NnlOXHy8UUialdUKoOl2p+aaPmpcannuf1H/i2/dOdd47TehCiQtAYc3q5UrVeU9AflEtq0zra3oF46rLYy1pLa8V8WrHpPJeLJS5MOJ+OMAfQhlFEcD7S+YD3kRAjQsAoqEudu+gdIUEsaz/hWblARHPpnpCFqUxmP9yIUZXpKZRDk51SmQPEWugaIXihKPMF41TwTkgBynF+T0+NGCPe97itABVCIIaA844UAyhIKdD1LaDQSqONplCWarOgWF8jfY9XlnD+hOIOnZ+iwCppUkpU9xwVUSp4ZhKvnKZWmt+WOfj8U6Rtp70uKQoZnGyZ+8Vow3g0p3Mb3l3/wHz2lHE9+0XhYWoXWN2TRCG/stRr44xpccnT4jveuL/BLjdzSg2B5zFYqE5LlBpcUj2ohBxIllTbezadQ5JnVO1HkLpBKcV0VNKbwHqzwYfA09mE8oGdWzeEuC3Pc3FoghEDRgmlUVhr843SI8dLwTqOeFZfEtEs3BlZmMpkHg6rAuMPxCijEi6V9On2c34WpTIPhi0UKEWzjpw9zTuYUyH4bblVXtQdNSJCCAHvf3RBhRiGx5wbspsUaKWxRUlRjwCYTCco9aNqpLsN5fUbVN8RfMDXU+SWGU8fskwal6BWD1P2M9LCExG+6TUjI5yfYLnRLnkbNU1UECPjnC/7YAzd+Sb40LFYvsV7x2z6BKN/fBMq3VDqhkI7+vjrZWWCpg1zZsU1TZyxiU93Ol6thRhP7wAZmTWWjnAgHfc6F1g1PSk66kofzPW4Ki3WalaN4/VV5Hw2YVKXDzK+lITeBzoX8GEQo5RErFFMKv3ZZd+Zw8SlChWEr+p3pKRZhfm+h5TJnDyDGNVQGfcTMcq/74h5+xtSWZTKPBhaK4pC2KwSZ7td92b2RAhDN7R8Q+r4+EkpXvB477bOKEcI/n2ZrTaWqqoxn3A5qeApFm8xzYrUO3pbkeZzPufgSALLqAhRHrST20wnejR/0Rr+/jgy0lmY+iWuomYVNTElzk5Pbzh4lFKUxQitLJt2SYyO+fRiKPEjMLFLKt3i4u0cPEFK+jTiWfUdfTshyN1F5I+hleCDISU4FQ3AKkehehTpV11oD4XzgXXTk5JjVGq0PqyT0mjN2aRi0zreLZb4MOFsUt+LKCQiuDB0z3M35XmyLc8rcnneqdOnGhXh6/EbpNGsw3TfQ8pkThKrPBPbUhpHqT2aiEsF/gvWD/u/mmYeFbbQdJ3kXKkTIXghBMHkEJ6D50Zwev8RPHHrjIoxDuejGkoZxqPJ7c9PEezqimJ5ifQdThRhcg53KNX7Oeuk8KKo1MOW0SkFFzrxKhp+32n+7ijmnKSfsUmKq6BxMTHPot1esbZgbGZ0XcPl4hXz6RN+M+0oVEuQArlDi/QuTpnZS56V3/FD/yewoy5WSg+tC2LUaH0aZbFDx70Oz+7Eu8/Fh8iy6QnRUxUa/QXz7n2ilGI6ruhcYLFe44PnyWxKYXcz3hDTj93z4lCep5VQarBFLs97THSxRpP4evSGbxtNG8f7HlImczL8VIxyaBJ9KhC+3DWcRanMg2KtotskXC9UdV4kHDveDxlhdc6TOiiGrnhD9pN3Du/7H0vx/LYUTxRaK2xRUNeft2jTfUO5fE26viI6j6smSPXl+SrLpOmjcL4H0UMreL7tyPdvO8PfrmPuKLel/6DT3kzl5tuHgFaaUT2hdy2h+3eEwpBqQ1J3dQgomjhnaq+Yx3csw/OdjE8pQSuI3lAUxy9KWdVjVY9G2PcSOsTEcjM4XWsL9kAFqQ+pS4s1mtWm53WInM+mTOrP28wkEXr3YXleQEnCGBhXGpO75z1amjhiQsPvxq/4tvmaLo72PaRM5qj5uBi1u5szecbOPCjGAho2q0hV5y3NsRP8cBc834XcLzeleN6796HkH5bi3aC1pio/XYr3SWKgXLzDNEsSij4p4uzpYDX6Qpo0/L5C4t5ED6vguUm8Cpraa/69Iu3iTztqbjrt9WHotJeFusNBKcVsVDCzQt9dserPeDINFPZuS7woBV2ccFH9QBunePnyjZxSQwlfiBbwn/z+Q2ekN0PHvR3cFf4SUkosNx0+eioLdkeOo4fAGs3ZrGbdON5dL/GTMfPpCH2LSVZE8GEILXchEmMkpYhRibowuTwvs0WxiWOmbPjtaBCmhi6kmUzmLhTaM7Ytpf5AjIoFonbvFM6iVOZB0VpRlIrNJvF0NzdiM3sixaF0L+9NH56U0pAF9UEpXooB5z4oxUNh7lqK9ylEsJslxfItuB4fhPTkK2K8fcvXT7GImi4KZ3s+sCotPCXxXa8Za7iwx+/y+FzSVpDqoqIid9o7NBSJeblibBNOT2nanjeLyPlkxqi6W6h0n8ZY3fO8+obvu799pxLAj45PCzFpRHaiW++NYuuSYs9ZUkmExabHeU9h0p3Fx0NAK8V8UtH2nuv1Gh8jT2bjj7q9QkyDK2pbnhdjQKuENZqiNCh1fK9B5r5RrOOEmV3zu9Ebvm2/xqcsWmYyt+GnYlSPQnA3YtQ9XcfzLJ55cKxV9K0gSVA5i+ho8V5IcRAaMw9HSomrq7f0fUvvelIaXDxaDyGuVTW6F+eadh3F9Wt01w6leuUEmdfYsoB2N6JUnwanlCFiDkD4mGrBifAXnaYcCbNH2JFPBN4ETRsVOkXq4zFkPBpm5YZSO0AQVTEbFTR9z+Xymulkynw0vsM8rYZufPaSs+IN1/7rLx6fUglJlpQU5mjPIaHWawo6AvtzXIgIy01H7z1WJcriuJfxo6qgsIZV0+J94OnZlLochIMkgtt2z3N+KM+DhFUwKjXGHEbnw8who1iHKTO74rf1D3zXfk2QLExlMh+j0J6JbSi0p9IOSLhYIsrce1Or476aZY4SYxUpJrouMcq9xI+W4AXnEmUFuf3ewyAiLBaXdF1D73rqavTlpXifIkWK5TvseoH0Pb0pdlaq93MWSeMSTA7ocHqiEz4a/qIz/L1RoDoAsewhuYqaddKkGB+0E2LmdlSmpzYdpXa029wUpRSTuqb3nlWzJITA+XR668yhhKVNM56Wr+nilC59WQcrvc2Gi0FjzO3bQx8Sg0vKoZQgsp8TQURYNT299xgJVPVuN9cxFiiV0Pph3yNrNGfTmnXT8+Zqwdl0Ckrh3ruiIlYnamuwNgsKmbshKFZhyrxY8fXoNd+3vyFK3v5mMh9SaMfEtu/FKIXgUkHi/sWoGx7Z8jpzCFgLSsN6+XjLYU4B7wUEzCFYWh4Jq9U1bbvBecdkPL13Qco0S0av/gp7/Q7fO9rRnDie34sgFQQ2SUNKB9XxTil4ZiI+wV92hnCsRo/PYBUVV1HTh8QsC1IHh1aRebmmNh1drPj5yrEqCmb1iN61vF0u6NztM51cqgmp4Fn9LZovd0IqJYRwrBtB+TFLSvbnklq3bngPxVNVu30tQ6xwfkLXTxF5+AlYK8VsXFFYxdVywbppCKHHqsh0ZBjV5VHlZmUOC0Gz8jNGtuer+g1aHac4nsnsmlI7zssF5+WSqd1Q6x6fLF2qB0HqAcm7ycyDo9SQK9U1WZQ6ViQJIcAj2p/vnc1mxabZ0PUdo8/slndblHdUb76hfPsDabOhUyV+9hTu8S71Mg4uqVod3lFlFDy3kUVUfOMM6fCGuHO6BG+jwQVhrnN23OEhzMs1pXIk0R/NfrJGMxuPkOS5XF6xalpEbnMAK5o4o1A9T8of+JLZfigvFmI8TlGhUD1GOVCyk4ytz2HTOdreIckzKoudlmiHWOL9CEmRGM1WmNrZr781g8Ov5GxSMy4Vk7qgLG1upJLZCQnN0k+Z2Ybn1VsUeQ+Sebz8KEYt9i5G3XCst60yR44tFO1GiDFlp80R4oOQojyqDlyqWaGv34LvkekZafaUbe3ivdN1Dav1gq5rGNXj+1ukp0SxusSurpDe4ZQmTJ7APTuyksAyKWJKHGpTzlLBM5N45TS10nxdnu6C1gu8CoY2CBOVO+0dIiPbUekeq8P7sr2PoZViui3nW6wXhBQ5n3y6AYJgaMOcs+IdTZzRxrPPHq9Wgg/mCMPOhZFeU6h2by6ptvdsWkdKnnG1W5FmEKTGiESsadC6xIcxwdQURbez57kLeU2YuS+SGJZhylmxQtC86S6Q7M/IPCJK7d5nRt1kUbpU7u2Gy4dkUSqzF4xVpJToWmHyZXEVmT0QvOB94uRzRkW2YtQbaBtoG8R71KtvMZMZ8vQr5OwCGU3vbaflXM9yeU3bNpRljdb3s4Ay7Zri+g3K9YQQcNUMyod5g1dJ4ZOiOvA7l2MtzEX4Q68ZGeHsaEObP07cClJdgpqUO+0dIEYFZsWG2nZ04dcFqRuUUtRliVaKdbNCAWe3EKa8VLhU87z6lm/bMfEzQ4KVFkARg8IWx3PelKobXFIo2MOivfeBddsTk2NU6B0LUsXWIZWwpkEphVGepHu6foxWEWNvX/KZyRwDUSyrMONJuSAmzTv3lJyLmjltZCtGtR+IUeBScRBi1A1ZlMrsBWNAmyFXajI9nBMiczu8gxihOlRby5cigtosBmdU1yBNSzIGmZyDLSEG9PIS/e9+j6q+Rc4vkPNnyGy3rqIQAovFJU3bUNji1kHFd0EFT7F4g2nWJOfodUWafb4j4q6IwCJqfBTOj2AqONMJj+b3reHvjyMjfTwb7E8xdNozNFFhUmR0oqf3cSOcVSsq3eNjwV0LK8tiEJVWzQq4nTDVxSmz4pKL4lteuz/hczZwSgmKIVfKFscidAi13lCqHrcHl5QLkVXTE6Mfus3p3U2QMRaDQ+oDQeoGazpEDJ2bMDJLtDrsmwWZzF0JYlmFKRf1FQnNlTsnC1OZ0+NnYpRyoA5PjLohi1KZvTDkSmm6Ni92jg0RIZxq2nNKqPX1IEa5bhCjdIHMnoL5YLo0lvTkK5I8R22W6Nc/oN/8AGdPkKfPSfOnUH7ZJialyPXiHW3XorWmKHbsWpKEXV9TLC+HUj0UYXx+76V6P2eTFF4UlngUS0Kl4EInfoiG33eavzuKBxXM/iVcRs0mKSRFJlmQOkimxWZo06yEkD7PtVQWBcKNMKU4m/x6SbCgacKcaXFFE+es49M7P+dNrtQQdn4colSpWoxy23ylhz0hQkwsNx3eO+pS7VaQShYXxqQkFKb9o/deKbC2xYUpfT+hrlZHVnKZyXwanwo2Yczz+pIkmoWfk4WpzKnwkzK9D8WoPXWPvQ1ZlMrsDWuh3QghJKzNO6BjIQZIUdCndO1OEbW8Qi/fQd8hbUcyJTK/GCx9H0MpZHpGnJ6Bb9GLS/TlG8x0jjx9jpw9RT6jW52IcL24pGsbRCJ1tdtgc903lFdvUK4jOI+vJ8gXimifyyJp+ijMj2gK0Aq+MpHvg+GvesPfruLRnw/LqLiOGhcSZ4e7ZnnUlNoxti2V6WluWbb3Mar3jqklwCeFqSAlfZzwrP6OrhkTPsM5pLQQ07Gc6EPHvVJ1OLnfxhI/J6bEYtMRvKcq1E4dsjFZnJ8gIhSm+eilSatEYRp8mOD0iKpsdzaGTOZQcKlCBeGr0VuSaFZhtu8hZTJfjFWeebGi1t1RiFE3ZFEqszdsoUgitJvE7OxYFqoZf5MnZY98Fw4QI3r5DrW8HMSoriOZGjl7BuqOx2QxIj37a6QY0etL1B/+Av3Dt/DkAjm/GNxT5nZT7k2GlA+e8WjyGX/YR4iBcvEWs1mSeoczFXG+vzyFLkGXFJp4dGHaVsFzk3jtNSOt+V2RjtZN0CbFu2hwMTHLnfYOEkViXq6pTE8XS3Zxzt4IU+tmCQrOxr8uTHVpQqF7nlff8kP3t+4cEKyUQNLEqDAHnsdWqRajPCKah5wfUxIWmw7vPaURCru7ZXpM5r0gZVX7yfnK6EAyPc6NsDrkfKnMSdKnGhWF34zfkBrFJuSg28zx8uFawaeCdARi1A1ZlMrsDWMU1grrVeIBI2wyX0jwQvRQ71AreXCCRy/foZeXSNchzhNtBefP+eIyDWNIZ89h/gzVrtFvXqHefo+ZPUEunpPmF1B93OWwXi9p2jV93+1OkBLBbhYUy3dI7/BJ8JOzW4tk98UialwUJkeqgtRaeELi215Ta7iwx1eO7AReBU0XhYl6XB01j4l5uaY0PaBIsrvz9r0wtdk6pn5VmFI0cc7MXjEr3rH0z+/0XFolBEMMGmPilwz7nknUekPxwC4pEWHZdDjvKUyiKHb3PqdkcH6KJMHqdhAIb4HVHZI0bT9hnPOlMidKF0doEr8dveGbxtB9oqNpJnOozIoNhXIgkA4wN+rXyKJUZq/YQtN1eZFzTHgvoNhpF6AHI3j09Rv06grpOqIPpHIE5/cQcqkUMp4RxzPwPXrxFr14hxlPkSfPh3D08Rw+6KbXtg3rzZK2bRjVv+5auC3adRTXr9FdS3QOV0yQyf4XXF5gkzRIojhio+RMC06Ev+w09ViYHFHweRR45Q1dhNGRvw+nTG06atNTKE8bdy+S3EWYilLQxgkX5Q90cYpLd5hL1OCWCsFSVocrSlXbLKn0gC6pQZDq6V3AqPg+kH4XpGToP0OQgqHyvLAtfZjlfKnMSdPEMRO14XejV3zbfE2f9hNpkMl8LsNaoaNUnk72v86/K1mUyuwVa6FvBe8SRe49fvDEIMQowPFsvIFBFLp+i15fI+1WjKpHcP6EB9l0FNVQ2pcianWN/vav0K+/hW3XvjR/ikuJ5eqatt1QVSO0/sLzIUWKxTvsZoF0Pb0piLOLO+db3ReLqHEJxnfYIB0qT3XidTT8vjX89SoxNengw8+TwKtgaJPCSqTK0+9BYlRkVm6obUcXqnt7ng+FKaUU89Hoo8JUn8YUyvG8+gPftX/n1l18bsLOYzzku7c3LimHe6BFvYiw3HR0zqEIVDt1SGl6P0ESdxakblBKcr5U5hGg2IQJU7MVptqvcen+5txMZpcYFZjahlL39GnHjZEeiCxKZfaKtQoRRbOJnGVR6uDxXoheMOZI3ivXoa/foNZL6FpijKRyCtOHDa59jzbI2QVx/hTVbdBv36LevkImU5ZFRa8NxWjyxcG2ZrOkXLwF1+NDwo/nYHd35/1LiQKrpEkpUR7y/vSWKAXPTORd1PxlpxlZzZkRpjox0YdZEvcuajZRITEyOYH34DQR5uWKUvfEZO69hXNVFIjAar0A+BVh6qaM75Lz4hVX/ne3fg6tBB8NIgejj/+EWjcY5R/EJSUi+BDpXCChQDx1WezMhZxEb0v2FOYzBakbPsyXMjpgc75U5iRRrOOEuV3zu9Frvmm+JsjhrJ0ymV9GOCuGEv+Q7L2vFe6LLEpl9oo2ClsKm1Xi7Mm+R5P5FMELPghVDQfdOrdrBjFqs4K2JYmQqilMD8TOqhQymhJHU6LrWLz+BtcsGdsC++QZYXZOHM1+Utp3q1/re8rrN+i2IfWOvqyR+eGFfy3T4JKqT8AldYNR8JVNRBk62f0QFEYZJgbmNjHVwkjJQWzEr6NiGTUxJubHuXZ5FEy2nfaMjnRf2G3vttTltivfeokCZh8RphKGNs14Ur6hjXO6dLtwYKUFgiIGhS0O6/xXJCrVUKj+XrOkQkz0LtD5QIyREAOjyjC6B0EqbQWpXWRBDflShq6fMNZLtM7RC5lTRLEKE2bFit+OXvNd+xviDnP8MpldMys2FLpHSSJyvGWn+SzL7J2i0HSdICLHmVP0iPB+2ER8cWnZPaHaNfr6LTQ3YhSk8QyKw5ykkwgL19OMZ8RqTOk7uHxNefUWmc6IsyeE6TnyKZdTShSrS+zqCnEOhyFMn8ABOtrSVrQJUU5SEDEKnpihxLUXWAXNIioqpZkaYWaEmU7syxjaJMVlyJ32Dh2rPZNiQ6UdbXjY+etGmFquh4ypjwlTLtUUqud5/Qe+bf/0VgHsSgkKIUSLLQ7LbVPpBqvctlvRbs+MlITeBzoX8CESUwBJWA3jUjOuK3rndvJcIgrnJ6SoMKrbWTj5kC/V4MKU3k2pq+VBiOyZzK4RNCs/Y14s+Xr0hu/br46qi1nm8VCZfsiR0p7uyHPQsiiV2TvWKrom4ZxQVXmFc6ikJIQgBxknpZoV+uoNdBtoWhKaNDqD8nDrqkWEVbumdT0hREZVRSgrwuQM3bfY9TV2eY2tx8Szp4TpOan+47v3pl1TXL9BuZ7gI240heJw/+51UnhRVI+gi1OloLIJEdgkxcLDpdeMtGZWDOLU9AHL+/oEr4Ohz532DhqFcFauKLXDJ8s+XKmDMCWfFKaaOGVWXHJRfMcb99f51FjVTdi5t1AfjiilSNRbUWpXLikRwYVI7wLOR0KMJAkYJdTWYO+hpFpE0fspKRqMatF6t4HySgnWtPgwoddj6rLZ6e/PZA6F98JUueI31WtedV8dXTezzGljVGRmN1TqJkfquBd1WZTK7J2brvTNOlLltN2DxXshRdD6QCY9EdRmib5+A12LtBuSssjkDOzhijI3rPuWpu9xwTMqfxqmmaoRrhrhY8CuF9gfvqEqX5Nm58TZOWE8Q6VIef0W3a5Jrqe3Y9L8bE9/ze0QGQLO+yg8OaIudV+KUjA1whSIElknxete8RbD2MKZSUzNUN53X6dX2Aabd1EYc/hB7I+ZabGm1A5Nwsn+gnbrraj/a8KUYGjCnFlxRRPP2MRPz0HaCDEd1rW+1hsMu3FJ+RDpfaB3kZgiIQS0FkoNtrD35gi/EaRiNNh7EKRuMDogpsO7GqsD1u7G4ZXJHBoJw8rPmBUrIu940z1DOKy5K/NYEebFkDkZ5P4zJx+CLEpl9o7WClvAepV4crHv0WQ+RvCC92lrwtnjjjYl1HqBXryBvkPahqQKZHIxtHM8AhrXselaOtczqqqPblLEWPzZBV6eYtoVxeVbiqu32OkcZTTS9zg0YfwEvjAc/SFoReFEUUg88vs5n49RcGaEMwS3Le/7Niis1kNp3zYgvd7huvem016Xhtc+95Q4XCrTM7IdlfY0cf9W/LosEX5dmApS4dKIZ9U39G1N+ISQppQgSRODwtj9i9OKSKXbL3JJxfRjTlQIiZgiSiLWKMa1wuj7vTbdlOzdtyB1g9E9Sew2XyrkfKnMyRLFsA5TzosVUTTv+guO3ZGSOX6mdjPcvFKCl8O/EX8bHmQH9+LFi/8Z+M+A1y9fvvwH28eeAv8L8DeB65u/eAAAIABJREFUfwu8ePny5dWLFy8U8D8B/ynQAP/45cuX/2b7M/818D9sf+3/+PLly3++ffw/AP4ZMAL+V+C/ffny5f5XOplbYwuN63Ou1CHjnSCJ/XXeSwm1ukIv3kLfD2KUKZHps6MQZG7ovWPVbGhdR1XcMthWKeJ4ThzP0b7DLhdgDH40Q6rjaVm8iJouCmf5FAegVHCxLe9rRbH0iiuvqbVmZoWZGcr77Be+Xm+jpokKYmR8PKfKo0OTmJdratPTxcOx4o8+cEwppZiN/jh0vY0TZsUVF+X3vOr/BvyKm0DrhFKatq2YTDrUnkXSWjcY+m2Y8e1fcxGh90N5Xu8DKUWEiFFQFxprHqZrlwg4PyFEO2RI3bMgBdt8KbPNl+qn1HXOl8qcLkEs6zDholwgorl0TziU+Tnz+Kj0cPOqNI7uAG5e7YqHWgr8M+Af/eyx/x74Vy9fvvxT4F9tvwb4T4A/3X78N8A/hfci1j8B/iPgPwT+yYsXL276tf3T7ffe/NzPnytz4NhCEaPQd/enJYoIKQkxyuD6cYLrE32X6NpE2ySadWSzijSbiOsTKWVtE0CSEMIe46S6DeYP/x/61R+QxRXRB+LZc2R2HA6hG3wMLNo1re8pTYH5jLGnosZd/AZ3/uyoBKk+DSHbhnSI+et7RSkYa+Erm/iNiRgSbx38ZWv4fW/53hvWUfE509FV1KyiJqbE7HhOlUfJvFpRqJ4k6uCyS0ZlSVVaFqsFq7b9he/QNGHOxC6Y2qtf/V1KQVkEYjC0bYXs8TI7uKQarPJEPn23+SYnatX0vFs2LDYNTdciqac0wqSyjKoC+0DXpUGQmr4XpIwOD/K8MDjeCtMQYkHvDq/LayazS7wUbOKIZ/UlZ+WCgwxYzZw8WkVmxYZK9/QHdPNqFzyIU+rly5f/+4sXL/7mzx7+z4H/ePv5Pwf+NfDfbR//F1un0//54sWL8xcvXvx2+73/8uXLl5cAL168+JfAP3rx4sW/BuYvX778P7aP/wvgvwD+t3v8kzI7xtphobpZRerRT3esIoIIP36kX3ps+DoNTa9Iv/Q9Mjh9EEjcfJ+8fzxtfzcydEUrCoUtNUUBRamHr63CWB6dmysEIUVhL033+hbzw79D1iuSLpH5c/Z+a/0ziCmxaFZ0zmGVwdrD2nTeN4ukcQkmj+vUuTNawVwJcy0EgWXUfB/gtTZMDcy37qlaySedCeuouAoaFxPzR5ThdYyMbEulewoTacMfO5EOgVFZgsBitQD4I8dUlII+jnlWfUcfJ3j5+B1cpaEoI84VaJ2oar8Xp81Ib7A4widcUjEmOh/oXSDESIgBrQSrFXWl0fdcnvdLiIALNw6p/kEFqRu0jljT4X2NNT7nS2VOGpcqVIDf1O8wJJo4posVpyQMZA4ZYV6sKbQjpNPIkfqQfQaw/Obly5ffA7x8+fL7Fy9efLV9/K8Bf/jg+77ZPvZrj3/zC49njgilFGWpWC8TxoY/FpMESJ8Wk37puvDThwW0Qm2fUyEoPYStWz3kWymlkCQ4J3RNpEkKSBgjFKWiKDRFqbDF9sMqzIm3sfIevEvcQ7OgTzxxj/nhr2CzIZYT+IXuc8dAEuG6WdE6BwhF8dAv5H4JApukISWK07qG3itWwVMzlPd1oth4xbXXVBrmVpjqocTvl0LL+wRv4tBpb6ZyNOshY1RgVmyGsr1w2Fb8UTW4iRarBQqY/kyY6tIEqx3Pq2/4vvv/2XuTGFm27TzvW3vviMiuqk53z73n3vceH20RlmeCINgGPKEnhM2JRyp4ZFoQQECAPLYFGBBAGQKnhgcG6BE9sOQaWBAHgmVCAIc2CBsWKVLSY/PebU9fp5rMjG7vvTyIyKo6fVcn2/3hJDJPZFTmzszIyNh//Otf/84bQ4GNUZwL1FWBtZEs//RlZ889P57clFhpafRlp09UvSjNa9pACB6IOAOj3GDt6g6hLwQpn2GpsWZ1nQyfz5cKSykfTCRWRR0Lohdu5qfs65R5GDL3Q8ow6EuAE4lPw9jNyU2NIdCw3scKH8I6fnteNbt/jdzwxuWv5PDw8DfpSv04Ojri4GC9u1XtEsNBYDr1xGC7Iy4RRLtuVCpgrFycSRUB4wQjgrH9/z+xjcf7SFNFvI+0NTQV5LkhLyx5YchzQ5ZfXl+Hm8o5x507d65h9B/HMTVNWTPeW+Iuw7fw3Q9EFL9/k8F4b3nPfY2oKs+mZ4gRstwxKtbTBfGhGBGGr8iYucqTViDCgfUU69K9ccMYADfoRPjzqJxHw2kURggHmbLvYGK7IHWv8KAWoio3bKBYgYtjnRARimJdg0CVm/mUoQ1EHZAtKYfoY8hzx6yqOS+n5HnGZPT8yQLPHfbyJ3h7ynm899bHaxohhH0meUuWf1pHnxBwVGRUWKn7g+A9bF+6p6o0baBq2gtXVAiBzCnjQY5zBvkErggxQpG/2zbalewNMSajyGqcVURW+x3PtaFsRvh4g0lxnvKltpD32Ua3n5yaCZaWG3nFbWqqOGAex9RxSB2Te2oVGGMYDrdPrAHIpGbfBQqj1HGPYkO2rxDf/STFKn/FHh4eHt7rXVL3gEf98u+AH19Z70fAD/3yX31h+R/0y3/0ivVfydHR0e8Av9P/V09PTz/iJSSuG+u4zE154fqlPJXlO9U7pL+oMiuV09OuXBAUAVzRuany3k11Wfb3/juQO3fu8OTJk+sd/3uiqhw/CcynAb+sNt4hYO//HM7P8DgYD2A6W85zXzPn5YxpVVK1NcO8oHxlHsvmMhwO3/iaosLj1lJ6ZWCUeolj21YG/SUonLXCN1Un0I/78r4WYeaFXAMYdv49L4qcul7PsqJJNoMwI2jbB5au6oft/ciMpZXAo6dPaZr2JcdUNEMm9jtO6pwmvjlvSBXa1vLkMYz3Ssw1l5oKgVxqclPhpMHgEWmICiWWwAAfZlRNoG49IXSuKCMRZw25s4gIMQaa5tO4gIo8p27evo2qQutHhCCgJc7WtGvS+M7olLoaE0PGoNjM3+vE63nXbXTXmFMgRApTsWfPGWCZ64i5H1KFAUGTPXxZDIcDyrJa9TCuHUNgVJwCJechQ2V1ztj3JW6IKPV7wG8Av91f/9Mry//u4eHhP6YLNT/that/DvzDK+Hmvwb8vaOjo+PDw8Pzw8PD/wj4v4H/Evgfl/lCErvJouTw6omjECJtA/NZYDYFVLAW8ly60r/c9GV/4JxgNsA1EjzE8Pb8mmsjRuzDb2B2TlCByWY6pADmdcWsri4EqV3LIgM4j0IbhYI1mTltEVbgpu2C9GqFc28490JmhIEGBulYeK3JTMvIzSlsvbY5Um9iVORAzcn5GQKMrwhTTRyQSc3d4jt+KP9d4hsON0UgywJN45jPBozG5UfnFxoCmVTkpsZJg5UWSwuqRByNjoix655XNSWtD4ToEe0aMQxzg7Xr5wpp/ZAQctAGZ9dLIOjypeqUL5XYORRDFYdUcYiTlomdse+mlKFgFkZUfkAdtyuUOrEslP18Sm4aglpUtvfAbimi1OHh4T+iczndOTw8/I6ui95vA0eHh4d/G/gG+Jv96v8M+HXgz4E58LcAevHpHwB/2K/3W4vQc+Dv0HX4G9IFnKeQ88RKsNZgr8wtVJXg+3yqKgIB1YVIdemmcmscot62im8j5mP70r8LqpjH38H0lOC16663odRtw1k5o2wqCpet3ee6DFThNBiaoNzc3t/RtaAQKFyXP+WBLIVIrTVC5CA/p7Cb3UFnmOdAw7PzMxBhPFiUTghl2GPPPeVm9pCn7Ze86TWKQJ57mtpRlQXDUf3eJ0IMnuzCEdVipcXRgoJXS8MIVajbQN3WtG3Ah4CqxwoMnMEtPTjx3ekEqQK0XTtBakGXL2VTvlRiZ/GaMQ0ZQmRgKu4Ux/jMMvMjyjCiDAUxuacS78jIleSmwUqgjttZmrhAdJW9eFeP/tH/9/Wqx5DYMRYh6r5VVLujbmMgy3kpRP3uZ3d4evy0O5SX7sC9uyxvAnN+Gjh55hkM5ZM/r3n8PXLylFDX6P5tNnWi1gbPs+kZ86Yitw67pPbgq+BN5XvTIDz0luADe9v7FiTWnHUs39vPzxi7Oc546rDZB5qqStk0NG3k5v4NxoPi4r5MKkbunPvlL1PGt7teYxSaxlEMagbv0JGvCyuvyKTuhagGiweFgCOQ9yVvgaoNNK0nxEAMASNKZgSX2ZWfNHhbaVTrB3g/QGNL5ta7IFdVaPwEYwLDwTkiOz3P2BpS+d6HomTSMrDd97YMBXM/ogxDmpixqce568i2le9lpuVGfsrAVFRxwCZuKzEGfu2/+K/hHQa/2+mnicQKECMUA6G4Mg8JPtI0QlMHooIgOAexmXN27jtBCi7EKaQLmL4QquiuF/8HuRCwrq7zqvuvhscji66El+u2rfb3f2JB6vgBcnpMLGv0xi02cecLXajfyeycqq1w1m61IPU2TqOhDsp+cu0kEhcMbMXQ1hSmZb7hghR0vw0XjqmzE+BSmGp1QBtrPht8y/flrxD0zU6kFzvy5a/oyLcQonKpu7I8aXB0XXuDOhpGgND6QN021G0XVu6DvxSiCvPJm6NcF60vekHK4+x6C1IAIkpm5zR+TN2MUr5UYscRWs1pfY4QGNqaUfEUrzlTP6QMQypfENndY8XEywiR/WxKLjX1joiXSZRKJNYA6wxDB/Q/SqpK2ypNqzR1lxkDuvjXr9MJSxdmR+lXW5yVVLlY3ueyX9y/EJjEwCLWSsylC0sWgtdigJ/4RKecPkWePSbOK+LBLdjQBvZRIyezKVVbA4ZshS3DV00VoYqCJWC3/7c0kXgnjAT28hmFrSg3uGzvRS6FqZpnZycINxj1wlQZ9phkx9zKfuBx8xPe9ppdX4ZazgaIlGRZxNKSmZpcKqz4LifqQojKqHshKsRI3bRUrcf7SIgB0YA1MMoNdsP2yd4XeD/sBalqY7radflSFW07xFmPW3N3VyKxDBTLPIzo3FMNB9k5B9k58zDs3VMF7Y4IEIk3oZ0gZWoUQXdErtmNV5lIbBiLEPXR2NL6C4/UtaCq3SX2WlOki6COXTcvIqgoEkFRVKAoPt0PpExPME/uo7M5ce9Wp45tIKrK6XxK2dbEGBnkxdv/aItZZElN0rFVItGjHORTcmkI6tAtOzPeCVMFqjXHvWNqNChQDKXfZy87YR72mIVbb30s5yLQYpqGSXZK5hocLUa67oReM3wvRHWB5Z669TRt6FpQ90LUIDM4u745UW/Ch5zWD4kxkG2QILXA2YaojqoaMxr5lC+VSFwgtFrQ+gJDYGArJsWcWjPm7Yh5GFKFbt+Z2D1GtqKwNU48Vdy8JigfShKlEokd48IJ9U6/dZ/2KFjm55hH36PzOWFyEzbsLPZVzqsu1Lz1LaNi80tyPoZGYRYNaMSlY6pEAugCSwtT44ynDNt5oCkijIqCOTXH55fClNecOg65U/xAXY7x+irRXnHSdqV5psLkLfiINoqzNUEsXsfdmqo0bbgQonwMaAwYiRTO4qxbeU7Ux+BDTtuO0BjI7HxjX0tm5zS6R1mPGaV8qUTiJSKWeRgDSmEabhRnHMRzZmHAPIyowqB3TyV2ASctIzejsDXVFpT3vw+bOwNMJBKbTTXDPvyGOJsRRvuwxl2P3sasKpnXFVXrGe24QwrgLBiaCKM0AUkkgO5Ac5LNKVxF6bdTkFqwEKZm9fPCVBUm7LljPiu+5371U7ozI4qThsJUZKbLiMqkwYpHVahszrQ5oNYx4+EUHwN107miQgwEHzBGyayQ5RaRzT+s9SGjbYdojLgNFqSgiwS4zJcaU+TTjXN8JRLLQahjQR0LjHiGrmLPzak0Z9Z24lRyT203QmQ/n1LYhmaLyvvflc3/9U4kEptHU2EffEOczQmDCWSbK+RUTc15NadsaoZ5vtETiOsgKJxHQ4yRfLuqkxKJD0Q5KLp8iCbsRl6IiDC+KkzJjc5BFfaZuGccZE/wsegcUeLJpMZKIAI+5rQ66R7HQGZnnM0cp/NI5uaE4LGiWBEGg80JLH8XQsh6h5Ti7Gwrfk+ez5dqU75UIvEWojpmfsLCPXUrPyGqYRaGlGFE6Qv8W5pGJDaPvWxKJg2qspPB90mUSiQSy6VtsA++htmMkI2g2FzXQONbzsoZVVNTuByzoXlY18nCJTVILqlEAoBJNic3DSJK2KEyjOeEqbNTZP8GwyKnCmNu5Q+p/AgxEVXTC1GXvwUhRpo+J8qHQOOVEHJMYRkNwsYFlr8LIToaPyJG3eiSvVexyJcqqzGjocfalC+VSLydS/eUFc/Yley5GXWWM/Nj5n7wXInXFu0ydo6hLRnYmtx4qrhbZXsLtu9XPZFIrC++xT74BczO8baA4WjVI/pgfAhdsHlT45zD2iRIRYWzKPig7O/eSZ5E4iUy0zJycwpbM9/ysr1XsRCm5nXN07MTbu/fgGJEUEdUSwyXh6FRlab1NN7TtJ6oAaLHWpgUhqgDQjhAdQo0q3tRn4AQLE07RHUhSK16RNdPly81oWomjAZnKV8qkXgPgjrO2wkaLU48E9MwdIEZkbPmRpc79dx3Svv9yPPLgK4LN6+478r6crHu1fUu19/GfdSqcOIZuzmFbajD5laOfCw7L0rZ7/8StRasBePAGNS6i/+rtWAWlzTpTCQ+mBiwD7+B2ZRABqPJqkf0wcQYOZmfU7Y1xgiZTQoMwDQKrQqFxFUPJZFYOYKyn59T2IZqB/MhFlyEn18RpoZFd+CtqrQ+UPdCVIieGAPORDJryPLLckejFaqGqpowHJ5hrV/hq7o+QnT4OEK1xUm5tZO9Ll+qTPlSicQ7ogqqlhAdMWZEtagKqgCBwpQcZM8o7Ixn5U2mzQQVgyII8rzmhFz5CZIr15fi1YtfR3mu+fcL979WALsqfF0Rsy6eQ18SunZ5PyBE9rMpha1pg33Fp7A77LwopY9+6L8r8fJ7ZG3XBcz1YpQIGIs4i5pesLL9bWPAOtT0f2Ntd9sshK40WU0kiBH78FuYnhGCoHv7qx7RB6OqnMynVG2NRqXI81UPaS1QhdNgqINy06Qz4InEOJt1ZXsaia/sNrc7PBd+fnbCzb0DFKjblhAjMbSIKM4Kee54lYB3EZrdu22GxRnGbK4Argo+DPG+wFp6QWq7951X86WsacmylC+VSFxFVQgxI0ZHiA7UECN04k3ASouYgPSa05kfM87m/Gjve07qfU6ag/dy2+iVXc6Ff0p7Neo53anfJ8vl7e5qIYB1AteFwqQCIhcilFx1WZnFQ115AlFednfpC66uq+LW5f2LdXUDd5+TbEZmalC6E/Y7zM6LUuH2V88v0AAhgG8R76HxoIpo2X1zo14eNKheiFmycFtZd+mqMqa77fpl1qG9iIWxF44szYou6Dk5sRLbiCrm8XdwfkLwEd27ueoRfRRn5YyyqWh9YFTs9kTzKqUKjQqZhh0+z5NIdHRleyWFbXaybO9VXM2YenZ+inMOIeIMFIXFyNtP4olA7mY0fkJVTxgOzjdSyAnR0foRIRhEW7K8wm/ijOoDcLZB1VLVY4wJW+N4SyQ+hG5q6XoRKkOjJV6YjTzGtGTWv2E/J8zaMZV4bhRnjLOS4+oGZ80e8R069T3vUupL965xn7rYrWkvcimm64izELJ6kasTuMwVA9bC2XU5QHlR3LpwcnUiVWsyVBtkQ9z6A1t1OVLSUulu5khdZedFqZcQ2zmkXP6qKtxXowqhBe+R2AlaxKb7YsXux7b7SsVeyNLuWnohK88hy2EwRIsBmg8hH6D5oLs/kdhgzNP7yPkJofHo/i02tYSl8S2zuqJuahrfMsyTIHWVk2CognKwmR9vInFtXJbt1TtdtvcqFsKUDx5nQeT9naYiXe5S48dUzZjBBpWBqQqtHxJCjqripMTYgDG7dTjubElU2+dLnW6ksJhIfCgxGmLMumy96EClE6I0YqTFmRYhvtd+LajjWX3AwFZ8MXrM0M15Vt+kCgWr/A26fA0Lx9SHNTl4TtwCVE2/cOHSAsQQw4gsnyNr7qK14pm4OYWpqGM6ToAkSl0PIuDy9xeyoofWI02FVDPk9ATRgIiBYgB5jg5G/e1OpNJ80AlYicQGYI4fIidPiWWF7t9m03a6qkrtW+Z1SeM9ddsQNDLMi63qjPSx1BHKKFgCKe89setM+rI9+jPgiecRETL3cWUKxgQyV9K2IxoJFHl5TaP7dISQdYJUNBganKl39ndEBDI3p2knVPWYQbE5wmIi8b50JXl9LlR06AsleUY8mfHX8B0QqjCkiTn72ZRxVvG0d02FDf8tek7cAkReFrecqylbgzZjsnyOMeva5VPZz6bkpsZHh5IMKJBEqdUhAjYDm6GD4fMCVmiQqkTmNUzPkdiVCUpewGDQlfoVC1dVL1Tlg9QKIbFWyOlT5NkjYlkS929fFpFvAFGVqqmZNxWt91RtV++dZxkDm0ThFzmNhibCOO2CEjtObhqGriS3DWUq2/ukWNOitqJphlgTcW4984lUhcaPiCEjasSZOUYim3aS5roxEslsSetHeOvJsmrVQ0okroU3l+QFjNRvKcn7OKJaTpoDClPx+fAJ42zOs+omMz9km/c7ImBMRQwFTTUiL0rMGpYH72UzclNjRGk1zSkWJFFqHbE5Os7R8ZVlMUI9R6oKmc4RfYJoRJyDYtiVAA5GFyKVFgPIUvlfYjXI9BTz5D46K4mTmxsjSMUYmTcVZV+i1/oWEIosw6amBa/EK8yigRjJ0luU2GGEyF7eddGpU9neUrCmJqqlrMaMhuuVT6QKIea0fkiMgqEhM006f3gFa1uiNlT1CGP8Wn1+icT7EKMhatY7ol5RkicekbDU738dBzR1zl4248vxfZ7VNzhp9vFxewO1u95kNRrzS2HKtase1gWFqRnYity2VCHlSF0liVKbgjEwnKDDyaWrShXaGilnSHmOnDzrhCrTl/9lL5T/FcPOVfWRtvlE4k3I/Bz7+DvifE6YHHRB/2tOiIF53YlRrfc0ocWIYZDK9N7KiReaCIOUCZLYcRZle0oq21sWi458rY774PP16MgX1dC2o65UJ0acLXt3VOJFunwpk/KlEhvFZUleV5Z3UZInINp2JcbXUpL3kePEcNbukZmG24Njxm7O0/oGs3Zykc+0bYgApkE1p66H5AjGrv6EgJXAXjZjYKp04uoVpKOmTUbkMmvq6vLQIOUcmVfIdAqx64YlRd6LVYMuVL13VHU5VUUq/0t8PNUc++hb4mxGGO11WWtrTBs887qiamqa0NL6gLMmZUa9I0HhLECIkcFmmOESiU9CV7ZXUZiWeTr7uVQu8onWoCOfKvhQ4MMAjWCocWt0ln4d6T6/MuVLJdaeTojKCCEnqkN1EcAdOiekbddWVG1jzkmdMc5mfDV+yLO65KS+QRPX+zj9QxEBkYZIRlMPyHPBuHqF+xZlPzsnl5o25Ui9kiRKbSM2RyfPh64TI1LPoSz78r/Ql/9lvZOqQMd76Ki7JDdV4r1pKuzDbzpBqph04ueaUrcN86aibltq3xBjxFnLeLC+Y15HplGogeLNbR0Sia1GiOz3ZXtVzEhnP5fPcx356gmD4nzpk48YbV+q54gxkNlqbSeo64aR2AXXp3ypxBoSoiWEghAzYhQgYmix4hGz3JK8j0ERpu0EJy03ijPGWcnT6ibTZkJkO88sGtOiKE0zwKnBZeVKPq+Jm5OZBmMibUxzjVeRRKldwRh0OOlKABfLVKGpkbrv/Hf8CGMdDMfo5ADGE+JoD4pRclEl3kzbYB98DbMpIRt1OWdrhqpS9WJU61uqtkEVcutwxXaeKfqUBIWTYGhjZLydxzKJxDuxl8/ITANIKttbIRcd+fyI2owY5POlPG/njhrgfYEqGKnIXcpGel+saYmmy5eCrpNWEvUSq0JV8CEnxByNtnNEqceZdo27ur0bXjNO6gNGbs6Xo4ecupJn9cHWZhyJ8RgU3xaA9MLU8vYtuakvGqDUW/oeXwfp6GmXEYGiL+FbLGsrzPkpMvsOiYodjmA8QSf7XZ7VaA9s2mwSVwj+QpDypgvcXyde7KRX+xpFOjEqNQL4IFThsbfUURi6mHwhiZ2lsH1oqWkow/qJ8bvGoiNf2wywEsiyT9uRL0RH64eEYBH1OFulc3gfgbMlCl3wuR+QuRpn67XICUtsP6oQo8PHonc8CqIRY2qsabfsuy3M/ZgqDNjPpgx7Yeqs2Sfo9h0biwkYqfBtgeqQLF+OMGX6HKnCNDQ+TyaPN5DUhcTzZAPirV7FjQGZnyHPjjFPHnWd/sZjdHIDRr2LKh+kL9guEwP2wTcwOyfgYLS36hFdEGKkvNJJr/EtIkLucqxJ1p6P4TQKsyjEGBhbS51MAYkdRIhdaKmtqUN3BjaxepytUTVU9RgjEfsJMp1UhdYPCKEgasRJibGb7Z5YB0QgdyVRa0IoqOsBrSlwrsW5GmvSj03i+olqCCEnhLwLLFcQPM40W9+gIKrlpNlnYCs+Hz5h7OYc17eY+wHb9psmEjG2JvgCdNQJU59U8Fb2sym5aYhqUNk+se86SaJU4vUYi05uopObRFVoSszsDDn/FtGIHY5hvIdO+iyqwQSS82R3iBH78FuYnhIC6N7+qkcEgA+BedOFl9e+xQePkRRefl1UEZ4FSxMi+0nbS+wwe/mM3HbOy5hCS9cKZ0tUhbIeMzLn11puE4Kj9SNCNAgtmanSb8s1YyRiXIlTIcScts3xPsNZj3Xb6FpJLBtVCLETomJ0RAU0YE21Fl3zlotQhSF1KNjLp3zl7nNcH3BaH+C3rCS9E6YqYihomhF5XiKfqBxz7Epy0+AIVJrK9t7Gdm1piU+HCBQjYtGXZgXfuaiePsE8vo/kOYwmMDkgjvbQ0aRzUSW2E1XMk+/h/ITQRnT/5qpHROs986akbBoa3xJmpfaoAAAgAElEQVRCwFqbxKhrJCg88pbKK2PRLY3FTCTezkXZnrTMw3qVLCeudHS76Mh39tGlGp07ati5KejdUSawbW6CdUJEcbbGmpoQM1pf0IYMZ0O33DYpdyrxXsRoL7OiVEC1F5fTtqQYzpp9MtNwZ3jM2JUc1zeYtWN0i/ZzIgq2IsYBTTMiy0qMvV4XZmYaRm5OYWqqFGz+TiRRKvFhWIfu3UL3bhFVkXqOzM6RsxMMAqMROt6D8X7vohqBSWeStwXz9D5y9oxYe/TgJqs6KFdVGt8yqysa31K3DVEjmbUUqZPetfPEG6oo5ASy7Tk+SSTei0W3vYGtKEOx6uEkXoOIkrkZTTv56I58PmR9Zz2DocWZVbYW3z1EwNm2C0NXRwgF3o8xtsudsnb7y6wSH472jjsfutDyqCDqsaZNZbevoI05J1XGJJvy5fgBz3rXVBO3pymQCBjTO6Zi55gy11TqbQhd2Z7U1CFLMTfvSBKlEh+PCDoYo4Nx9//QItMzzONHyMP7SFHAeAKTfeKwd1Fl6UB+UzHPHiEnT4llRdy/DSvwy1x00qtLWu+pfIOqUrgMa7fnR3OdOA3CNBpiDOwli1Rih9nPp2SmIahBU9neWmMkkrk5rR9Ty5hBMXuvv49qOjEqZGiMODtP4scKEQErHms8MVpCzKmqUS9ONX0o+naIDJ2Q4lC1iEQEBYmIdAXDaZ77ZlTpBcycEDNi7FxRRpreFbXqEa43inDe7uGk5XZx2mdN3eS8mbAtPnkRMLZGNaOuhxQIYj9229CLjryKQSVJLe9KeqcS14/N0IPbBG6DRqScIedT5NlTjDEwmlxxUU3QYgQpeHojkLNj5PghcT4n7t8BWe7nFjVSNjXzusIHT9V2Px65zbApz+yTUUc47nOk9tKBXGKH6cr2ajLxqdvehmCN7zrytQOsCWRZ9da/6fJmClo/QKMgNLiPnqwkrhNjAsaUOK3wsaCuC1qT41zXBdFsWC7QQkSJ0RFihkaLAjECSCdK0R12CYBoJ1b1gpX0ghXEi9u7KF5dhJbHHI2mq+bA40ybBOUPwGvGcX3AyM25N3rEyJU8q2/0zT02n+770YKBuh6QF4Kx7++EtRLITEtuGgpT4yRQp7K99yKJUolPi5iufG/Rlc3XyPQc8+g+ot8jgwGM9tDJPrpwUblstWNOvBKZnmIe/4DO58TJraUKiVGVWV1SNhWt9xed9AZ5gdm1I64lE/scqTooIxSb3u7EjmL6sr3CVlQhOTI3icuOfCNEAu4NZRoxGlo/IkaHxoCz1c5nzawzIkpmK5yp+lD0grYPRe869q2nmKgKqpYQHTFmRLWg0gduR4y0WPE42+WWKYKqAZXOgRGFiAG1qBgWMQoviVcoYq4KV69yXW22eNWJyBkh5sSQ9UJexJqaLIXiXwPC3I+pQ1eWNnIlx9VNztpJt91uOCIg0qIoTT0gywSbVW/YbhQnnswsLp3guViGCmXcDtFumSRRKrFcXIHeKAgAMSLlOXJ6inn6CHGu6+Z39yviwZ3knlojpJxiH39HnM8IoxvglrfrUFVO51PKuqTyLc5ICi9fIk+CoYyC00ievpKJHWYvn5JJ39o5le1tHIuOfFU9YWTOXirzUgUfBvhQoBGM1G8UrxLrRZc71WBNQ9SM4HO8n2Ctx/WlfasWF2M03dhi54hCpRdQFCMeIx5rwismw3ohJL0J1U68uhCu1HTdQX0vZonj3cWrTrBaiFfd2E3/d/3frvgwbFHC6UMG2rmiDC1ZCsD/JAS1nDT7DGzFF6NHjJs5x80NSj9gGxo+iPEYlNbnKILLyn4b1wvxKTOeTDxGAk48TrrfERUIwVKG7XgvVkESpRKrwxh0fICOD4gATYk5eYI5+WPMZ1+gn/8IHR+sepSJusQ+/IY4nRGG+5At1yFwXs2pmprae0ZJjFoqZ0E4D4YYI3smHeAldpeBrbqyPdtS+tRtbxN5U0e+GC2NH3UlU8kdtdF0uVN9KHq0+FhcyZ2q+9yp5ZRxdblQGbEXoVRNJ0KJIhowxpPZcG3bWickaT8nfn22lmrXae1SvOqvfX/Ny+JViA7v/fPTbekEqotywn7d526jF6+vG9uV2/1YX3X7dYd6i/c0hLx7X5X+vazINqxkczMRqjCkCQV7xZRRVnJc3aCOBSEavDqCmo11UIkJOK2wEQZEhtn0ovQzMy2WCCiqgsdRxiRCXRdJlEqsD/mQePfHaD3DPHqAOXmKfv4j4mdfQp7qcldCU2MffN0LUpOlfw6zumRel1RtndxRS6aJ8DRYGq9JkErsNEYCe/msK9vzyZK/ybzckW/auaN8gapipMK5620NnlgdxgRyM7/IGarrAa0pcK7tS/uu97NWlS4Tqs+GWnR6g144kZrM+pULniL0Lih4V/HKkGEIqC6Ow6S7rQsf1+XyzpV1efv5Obu+NIW/Gk8qV9a7EKmuCFlRbRdajmJo+vK8dIyybCKG03qfwtTcHh4ToiViaKPrBEy1hGgJ2l384na/3jpxkQdl2054koAlImIxGslNDaK0MaNJLulPRhKlEmuHFmPCvV9Gzp9hv/kL7PET9MsfE2/chRRmvTzaBvvgFzCbErIR5MsN9a2amvNyzrypGWRZEqSWSFR4FPocKYkpRyqx0+xnM3KpiWpT2d4WcNmRb8RcOze2qO/dUSseXOKTYCRiXIXTus+dyvvcqYBzFfYDc4euhpN3rh3buY4UIGBocMZvbOD4VfEqc4LGDxfx9EI3uiJg6UXhIJ2AdeU2fTniC+sIoXOubEmXxU2n7psMdCJhJDOewcJpKopoJyB2wpTrrvssNa+GEDtn1ULE+vSd/fo8KOvJ+3I8IwFnuv8vCGqovKHxB5h2j6KYXbuInXieJEol1hMRdP8WfnyAOXmI+bN/hb39OfHzH6N7N1ZfyL7t+BZ7/xcwO8ebAobLLVdpfMtZOaNqagYux6Z8saXyNBjKINgYyNMcPLHDDGxFYSuc9alsb4tYdOSLMes6tdk0wd0FRBRna6ypiTHD+wIfJjgbsLbuOyy+3nXzXDi5XsmFUhCNSJ8LZV6ZC7XbXL4fV8v8VjWaxPUjRCx1tNQvhXwrthd+Br2z7eo24KO7dFJdEa9CtM85rl722L3LqPRCcMpsL0IRyGx7mQelQlDD3A/giigmArmb0vgxVb3HIJ9ibcoZ/FQkUSqx3lhLvP0lsSmxxw8xp8/Qz78kfvYVDNIE4ZMQ/KUgRQ6jyVKf3ofQBZs3Nc45rE2C1DKZBuEsGHyI3EiCVGKHWZTtDVydyva2EGcbsM2qh5FYASJgbYsxLVEdIRR4P6a1QzJXY22N6UPFo5oLJ1SIrgvU7sPJRQKm77iVRKhE4nUIQR0hOOqX7lOsePI+SNya2DvoFEUI0dKqI6rpxSqHj6Z7PDUXYtZlBlrsy/Aug8mNBPL+GjoRqo2WuQ55mzIqouRuRutHlNWEQTHDufS78SlIolRiM8iHhC9+ikxPsd/9Anv8hHjvx+itz8Flqx7d9hDChSAV1MJkb7lPHyMn83OqpsKIkKVyzaXSKjwJliYoeymjIbHj7OdTcmnw0aWyvURiC+lC0T3W+D53qqCqhhhb4GyLYtF4RYQiYEy7FrlQicR2IATNKMOr5nJ9qZ3xGBsw9FKVdMKSjxavjtgLV1mWE02JlUhumws3VkRoQ0bQDzu5tMgibMOQqp5Q6Jwsqz78JSdeSRKlVkwblcyk0yvvik4O8KM9zMljzF/8KTx7TPziJ+j+rVTS97HEgH34dSdIRUEny+18GFU5nZ9TtTVRYZAnsXGZRIWH3lIFZUAkGdQSu8zQlhSmC0KuwnLz9BKJxPLpcqdKnFZ97lSGmD4XyvoL51QikVgWgtcMH7KX8viFiJOuDM/YhhGKcxl1H8Zf+fxaTyaJQGZLfICqHqEImSvT1PMaSaLUiqii8riBaYS7mXI7S1v1O2MM8dbnxPYm9ul9zOm/RO9+hX7+FTpcbqnZ1hAj9uG3cH5G8BHdu7XUp1dVzvqSPe8DwyKVyiyb4z5HysTAIJlCEjuMkcAknzOwNVXIVz2cRCKxRBa5U86+XGiUSCTWA8XQqqH1lyewc3E0/tOFkYvQCVEhUtdDUCHL5kmYuiaSKLVkvCpPWjj1MA8w9fC4hr++r0xSi6v3I8sJX/wSUp5jHnyLOXmMfv5j4p17kKWJxDujinn8HZyfENqA7t9c+hCm1ZyyqWl9yyBPgtSymUXhtM+ROkiCVGKnUQ7yKbmp+2DV9IVIJBKJRCLR0QnWSt0MCWoY5LNUznsNpAKNJRFVedoqf1nCwwbOWxiK8GUuCMKfTKGOaYP+EHS4R7j3y0RbIL/4GfbP/ghz/BBi6qbzVlQxj79Hzk4Ije8FqeWKo/O6YlZXlG3FIC+QdMphqbQKj73pcqTMh/Q2SSS2h6GryE2Nk0AT08mNRCKRSCQSz+NsQ+bm+DanqieopqPnjyWJUp8YVeXUKz+v4H4NZy1YFW5nhsIIRoQvcph54WczCJqEqQ9CDPHgDv6LnxLnJfKzP8b+/F8js9NVj2ytMU/vI2fHxLJeiSBVtw1n5YyyqRi4PAlSS0YVHnlLFaTLkUpvf2KHsRKYZIuyvcGqh5NIJBKJRGJNsabthCmfUVZ7RE2yyseQyvc+IfOgPGq7Mr25h1yEm054MdfciXCvUL6vhUGp/JWhpsn5h2Id8e6P0HqGefIIc3qM3v2KePcryNMk4yrm6QPk5CmxrIgHt1m2Rt16z+l8StXWFC7Dpk57S+dZMJQx5UglEqDs5+cUpqZVS/IMJhKJRCKReBPWeMTNaMOIqtpjUEwxJlXqfAhJlPoE1LHLjToPMPNgFA6s4N7QZW9ghLu58nUJEwv3UqzOR6HFmPDFT5HpCfbbv8QuuvTd+hyS+IF59gg5eUwsS+L+bZDlClI+BE76TnvOuiRIrYB5FE6CofGRG+ntT+w4Q1dRmAYrgSZ120skEolEIvEOGBPIZEbrx1T1HnleAlcrn96tCurdT4W98Hiv+UNBEYkbk3eVRKlrxKvytIUT3zmjosKeFbI3iFFX2bNC7eDfzJSBVW66dKb2oxBB927iR/uYk4eYv/gTOHlM/Pwn6N4NdrVdgpw+RY4fEmdz4t7yBakYI6fzc8q2QUTIkiC1dHyfI1XFlCOVSFjx7GUzilS2l0gkEolE4j0xEsndlMaPqarRWghBIoupbsSY2AtUL1yIazMd3nlRal5X3YeGIHLlcvH/y/teR1TlxMPTFsoITYCREYYfICrddtBE4U/Olb++r4xSyMvHYy3x9pfEtsI+eYA5PUE//5L42VcwGK16dEtFzp5hntxH5yVxcmvprjFV5WQ+pWxrNEaKPAUJL5vncqQ04FIJfGKnUfbzKbmtaaNLZXuJRCKRSCTeGxEld1MW1qVrPZ74gCB1RVA1qBp8NCiOLqpFOxeV6d1URhEJvUDVXcyFcLU8cW3nRakHJ08QEYwYROivr4hRdDKjeUmwAhFhHuAkCLUKVRAKEcbWYBCaeLk+V8WtK6LXi4gIX+TKd7XwJzPlr030nZ1WibeQDQj3forMz7Df/QJ73Jf03f4cXLbq0X1yZHqKefw9Op8RxjfBLffrr6oXoeatD4yKVKO6Ck76HCnRwDAJUokdZ9SX7RmJNJr2SYlEIpFIJD6MbmrfCTnyjmV77/bA1/MwXT+1XqyiE6yiN6haVDI6taIf/4VoFTESXuGwul6X1c6LUoO8QGMk0pUVBfWoCop2H4nq5W0A7T6uRuE0GGqFOihOIwMrtMCpgEGgF7pEzAuCFL0g1YlhxlqczbDWYY3DiHAvV76thZ/NlX9/rJh18dZtATraxw8mmJPHmJ//azh+RLz3E3T/FpjtnKXL/Bz7+DvifEYY3ViJCDerS8q6ovEtwzxN/lZBGYVnwVCHyI3t3NQTiXfGimeSzShcRelTjlQikUgkEontZSGaiQTg5UB2VS7EqsUlRoPXDDC9yWbhsuKFcsDwUS6rnRelrDHvJUS02nWsmgZDLYrRyO2Mi1bqqoqqApEY6a5VEQ1EFFGIiwfT2P9NBBGczXA2I3MF1jo+s44fKsvICD9NHfmuF2OItz4n+lvYp/cxP/sj9O6X6N2v0NHeqkd3rUg5wz78hjidEUb7kC2/ZG7eVEyrkrKtGeZF2pZXgFd45A11UPYkFSkldh3lIJ+S24Y2dGcHE4lEIpFIJHaVrlIsgsSX7nulyyr24pUsSgNjJ1aZhVOsfefn3nlR6l2J2pW9nEZDHYAYGRsle0HPWpT4gXkv002MAR88dVNR1XMArM0YSsa/rR34jC+HGZl1mC1186wElxE+/wlSnmPuf4c5foJ+8SPiZ/cg2wI3TzXHPvy6c0gN9yBbfohv3Tacz7uyvcJlSZBaAarwxFvqKBQEUg+FxK4zdiW5rTESaDS5pBKJRCKRSCRex/u4rGIvXMXw7hOOJEq9BVU4X5S8RMHHyBBlcM350MZYcnP5oKqK9y0ulKgX/rhW5iPDzSIjdzmF6wSqzGWd2yvxUehwj/DlGHN2jPn6z7DPHqGf/4h447PNzZuqS+yDr4mzGaGYQL58QaoNntOyCzbPbYZNnfZWwmkUZlHQmHKkEgknnnE2p7ANpU/d9hKJRCKRSCQ+hqsuq8VsL8rL4tXrSKLUG5hH4bgXo2qvFBLYW9KETkTIspyMnC9yeOgN37QtRmscJQo4YymyTqDKs4zMZuTOYU2a+H8QYogHd4iTG5hnjzB//qfYm7fRz74kHtxZeqe6j6KpsQ++htmM4EaQL98JEGLgZHZO1dQ4a3Gb9P5tEVWEZ8HShMh+EqQSO4+yn5+Tm5o2OFLZXiKRSCQSicRqSaLUK2giHAfLLEofYh44sF2l5CoQgc9c5IHPeUTGXxkGLEobPFXbMK8rFMUZS+4yiiwndxmZc+TW4Wz6mN8L64h3viS2DfbZQ+TkX2FvfUa8+xW6d3P9w9DbBvvgFzCb4V0Bw9HShxA1cjKbUrU1AFnaBldCUHjkLZVXxqIr24clEutCV7bXYERp4oa6YBOJRCKRSCS2iDRTvILvc6POYxcGLBrYA9waGDyswGcu8NBbvm0sv5QHcpeR96VlqkqIgbptKdsKVcUYy8DlZC7r3FS9UOWMTbk+70KWE+7+GJoSe/wIc/IUvfM5+tmX6PiAa+2DeV34thekzvEmh+Fk6UNQVU7nXcleiDF12lshT7yhjEJOIFvDzTWRWCZO2r5sr07d9hKJRCKRSCTWhCRK0YWYn0bDaTDUEWKIjETJ18xWkAvcsZGHjWEghnv5ZTK+iOBecEX5EGh8S9k0QEREOieVy8mznNy5LpfKuiRSvYl8SPjil5Byinn0A+b4MfrZPfTOvfXq1Bd8V7I3neLJYUVjOy+7UPPWt4yKlNeyKk6DMI0GQmC0BsJ6IrFalP1iSmFqmpCTyvYSiUQikUgk1oOVi1KHh4e/AM7pYtz90dHR3zg8PLwF/G/AT4FfAIdHR0fPDg8PBfgfgF8H5sB/dXR09P/2j/MbwH/XP+x/f3R09Lvv8vzTcJkb1cbIAGW4xhO4oVFuqvJdbRhY5abV1677Yo5PCIHGe86qGZRTELlwUBVZTmZd56ZKItUr0eGEMBgj83PMD99gjh+hn90j3r4Hg+WXyD1HCL0gdUZQC5PVCFLTas68qaiallGRHFKrou5LkOsQOVjj/VkisSzG2ZzCNCCRENO+KZFIJBKJRGJdWBcv0H9ydHT0146Ojv5G////FvgXR0dHvwL8i/7/AP8Z8Cv95TeB/wmgF7H+PvAfAv8B8PcPDw9vvssTP/SWqQeJkRtGN6Iz1b6NDIzy89Iyj+8uHllrGRYF+8Mx+6MJ42KAqjKt5jw5O+GHZ0+4/+wJD0+fcjw9Y1rNaXxL1NcLXzuHCDreJ9z7ZYIbIN/8HPtv/yXmwTfQ1KsZUwzYh990glQQdLK/kmGUTc20KimbmmFRJGFzRSxypGqvjEk5UomEk5axm5Pbmjok92YikUgkEonEOrFyp9Rr+M+BX+1v/y7wB8B/0y//X46OjhT4vw4PD28cHh7e69f9/aOjo2OAw8PD3wf+U+Afve2Jgg/smy6zaZO4ZSIPg+XPK8NfHQbyDxi/NRabWwZ0Z42jKk3bcF6VoDMUIXeOIutL/noXVeYyzK4LDmLQ/dv4yU3M6RPMz3+GffKgC0O/dRfckgJ0Y8Q++hampwSv6N6N5TzvCzS+vSjbK1yeto8V8jR0OVKOsHYlyInE8lH2sikuNrQhI5XtJRKJRCKRSKwX6zBlUeD/PDw8/H8ODw9/s1/2+dHR0X2A/vpuv/wr4Nsrf/tdv+x1y9/Knt08QQrACNy1gToIP68s4RrMTEaEQV6wPxyxP5qwPxwhIsyqiqcLJ9XJEx6ePOF4esp5NaduG6LGtz/4tmIM8eZd/Be/RPQe85d/iv2zP8IcP4AQPu1zq2IefwdnJ4TG94LU8jdmH3wXbN7U5DbD2nXYrewmZ0E4D4YYI+P0MSR2DsVKIDcNA1sxdnNuFGdkpkZE8Zq67SUSiUQikUisG+vglPqPj46Ofjg8PLwL/P7h4eG/ecO6r5px6xuWv0QvfP0mwNHREUWRv+9414ofRXjQCo8l56eD628IdzUpSVWp25a6rWmaEmlKcpcxyHOKvLjIp8pdhjE7OCM+OADfok/uY779C6Q8x9z7CRzcgQ98P6y1HBwcvHyHKjz8Fg0N3jj44h5ili9IhRh4cnaCGhiPhuTZZn+fNpk6wrQWNEZuu4hd0vYgIhu/H01sBkLESsDI669BsQSMBKwJCAoYSsbkm3gGKrEjCHm+DofkicTrSNtoYt1J2+i6EcK7z39X/skdHR390F8/Ojw8/Cd0mVAPDw8P7x0dHd3vy/Me9at/B/z4yp//CPihX/6rLyz/g9c83+8Av9P/V+u6uaZXsjr2ovD1ucG2kc+yT+9ayk232agqddMwm88JqiBKZvpyv6wgvxKcvlMi1eQ2tBX2+++R77+F23eJn33VOZneUzU8ODjg9PT0peXmyQ/IyRNiWREPbsN8fl2jf2eiKs9mZ8zrCjSSZzmlL5c+jkTXQfT71jILMNSIN+CX9NxFkbMN+9Ht4nXnatYZxT4nMsVeWIoXyxfrGAlYCVhRFq9VFQQlqqBqaNTio0Mx5LmjaZb1jUgk3p+0jSbWnbSNJtadtI2uHzG+e9XQSkWpw8PDMWCOjo7O+9u/BvwW8HvAbwC/3V//0/5Pfg/4u4eHh/+YLtT8tBeu/jnwD6+Em/8a8PeW+FJWytgorSq/qAy5UQ7e0JHvOhERBlkOvTtGVWl8y7yumVUVipJZS57lFC6ncBlZL1LZbRepsgHhi19C6hnm8SPMs6foZ1+gd+6h448LIjfHD5GTp50gtX+bVVThqipn8ylVUxNiYJinblar5GkwVFFwmnKkdhFDJLMtuWnJbYuV7qBMMah2XiFFUBXor68u09csA164v1/n4v53F74WLidr4oXo9LwAFRH6+0zASe9yku456RtuqBqiGtqQUWHfawyJRCKRSCQSifVj1U6pz4F/cnh4uBjL/3p0dPR/HB4e/iFwdHh4+LeBb4C/2a//z4BfB/4cmAN/C+Do6Oj48PDwHwB/2K/3W4vQ813hwEQaDH9ZWv7qKDA0y++YJyIUWU5xRaRqvadqauZViQLOWIo8vwhOz/vg9G0VqbQYE778ZWR+hrn/LebpY/TuPeKdL2Awfu/Hk5PHyLNHxHnZCVKymvftvJpTNjWNb5MgtWKmQTgLhhAiB3bVo0ksAyGS9yJUZluceKxEctvQy0oY6UWcF/5SXnJR6XP3d06jTnSKF2KU6TWhS1Hq4vYbhC9EX3I5icRuvEZB9UL8EiDSiU5BLWVwKGmDTiQSiUQikdh2RHX54sUaob/7P//vqx7DtREVHgRLYZR/bxjI1uwE8kKkaoInhADSi1RZ56LKs/yi5G8ry/1UkekJ9vwpDMfoZ1924lT++hblV8v35PQp5skPxPmcOLkFdjWa8qwu+057NcO8QFKnvZXRKPzQOuZe2Seyioz5VL736VmIUJnphChnOhEqs00vDUFUQxOyjxByLiSm/7+9u4+RLKvPO/49595b1T2vO7szw2JeBLbWMSucYJs4SMROYsmElwgSJRzZmxhik6yFsIwTFAUFJ1ZejWLsmEhWMCYsJrGNT2JQSEQgNhJGCraFiXAMxhKwWZZll13Yee/uqrr3nJM/zqnq6pnu3emZ6urqqucj1XTVrVs1t6ZPV9d95nd+B0PC2FhqMCPWgDF5e0pgbMKkvG38yJ3Hm/8cV1aN/4jJkpKlS5aQauZV5aSSfll0GqOy6DRGZdFpjC6eGAOvet0b4SY+8B12pZTM0HhFvse6iq8MK761HziE3td7MsbQaxp6TV4BKaVEGzoG7YiN4QBIk5BqrVRcjXtSLUXwYQzp5Bm646exVy9gH/4i1ZOPE5/xLNKZ85NpkLs+9OpF7DcfI21uEY+fObRAajAacnVrk83RkLWmWY7vyxEVEzzRVQxC4vghBVJyMAwpB1DVdAgV6FUjTIokY4jRMux6M6wmyhVOk66ET9We8IAXFhURERGR1aFQasnUBs5VkSday5q1PKuJM1+Rb1aMMZPV+mA6pBpOQqpenQOqtRJQ9eqGujriUzqsJZ4+SzxxBnv5G9gHvwCnvk56xrOJd5y9IXAyG5ex33iUtLlJOH4H1IezrPmoa7mytcFgNGSt7i3tlMuj4kKwbAVDFQO9I/4jseqmQ6jGtjQlhGpsizE5HUrRMphpCCUiIiIicvgUSi2hNZu4k8jXhpZ1C3fVB78i3yzsFlIN2xHXBhtc3bpW7u+x1uuz1jT0quZoT/WrKuKddxNDh73wOPaLn6c6cxfp/LfkFfVsBRtXqJ54hLhxjXDs8AKpLgQub15jazSkrlSZKrsAABzeSURBVGsqleUcqivBcFl9pI6wNOkH1SshlC0hVGVinkgX83S8qBBKRERERJaYQqkldaKsyPfglqV3LHFyTivyzZIxJgdQ5EbaXQgM2xGXN4dcSttN09eb/iTMOpJT/aqaeO5ZxHZIdfFxzOULVHedJ505B2FA3NggHDv9lNP7DlKIkUubV9kaDTDG0Bz1SrUjbBjhyVCxFQ3DkDh1CAsayK1INLabrI7X2HZHCEWCiGUUa4ZJv5ZFREREZHXo0+8Su8NG2lTx5UHFC9Y7+ke8uKWuKupqHZia6jccsjEYANCvm0k/qiM51a/pE84/FzPcwD75DczFJwlnzhDWTkIz/xXuxv/G1wabDNohKcFa73AqtVZdl+BisFwNlmFMmBQ4BVRHLH9dHdsh1LgaypZm5cYEDIZIog09hVAiIiIistL0aXiJGQN3VYGvdzmY+vb1QL0kJ7HXT/WLKTFqR1wdbHBl8xrWGtaafl7Zr2no1T16dY01i5/Mpf5xwt3HMcMN4vpp6Oa7kkQXAoN2yKAd0YWOYdeSUmK9N/9gbNXFBJeD5XK0DCPEEDluE83iD+OVU5lAvxqWSqiOikBdtdQmdwVPGEahIST9HImIiIiIjCmUWnKVgfN1DqYeHlY8b8FW5JsVu8dUv63RgESe6rfe609W9DsKU/1S/zhmrQ/XDj6UijEyaEcM2iGjrqMNLV0IgKFX10er4mwJpATXouFisAyjoY2RdRJr+jYsFENkrR6yVg1zo/KyUh7kEKoNNZupx02shCsiIiIispIUSq2AxsDZsiLfurU8s3c0Gp/fjt2m+m0OB1zd2gRjjv5UvxlIKTHsWgajIaOupQ0do64FoKkqjvXXDvkIV9NWNFwIlkHpG9UjcIdVrLEoDIleNWK9GtKrRlS2pWdakoEQGja7dfTdEhERERG5OQqlVsS6TZwh8tWhZa1KnDmCjc9v1W5T/YbtME/127qWq6yafg6omh79uqE5IlP9bsWoaxm0I4Y7pudFqlJNtsjVY8usTXChs1yLlmFI1Clwyqpv1GLIq+Wt1UP61YjadPSqESZBwLIVFESJiIiIiNwKhVIr5JRNjFLi/21V9I8Fjq3oyl3WGNZ7a6yX2+Opfptlql+vrOqX+1DlaX69uqayR7eSarc+UTHGEtgd7dd21IUEl4LlSrQMApgUOWHUN2oR1KYt0/OmgigTScky6Pok9E0SEREREbkdCqVWzF028nio+NJWxXesd/R0TnXjVL+uY3M0ZGOwBRgqa+mV6X7jkKqpa2pbLXRVUUylT9RoxKhrGXUtIQaMgaaqqZveYR/iSksJrkTDpdI3qguRYyYd+VUyj7rKBNaqIWv1MAdRdoS1AZJhGHpEFOCKiIiIiMyKQqkVYwycKyvyPTisuGctaHrQFGMMvaah1+Spfikl2hgYtSM22wEmgbGWXtVsr+o3DqmqGnvIIVVKqUzPGzJsd/aJqjU9b2FsRMOFzjJKhmGXWDOBk8o6Do0l0t+lYXlKhjY2DDutmCciIiIichAUSq2gysC5siLfI6OK5/Zy9YzcyBhDr6rpVds/Kl0ItF3Hla0NSNfAGHpVQ6+p6dc9mrrJQVVVY+18yl7arpuanhcYdiNiilRGQdQiGUZ4MlRsRcOo9I26o1I3osNgSPRLRVTPtlS2pW9bIhBCrYblIiIiIiJzoFBqRfXKinyPjSx9Y7l7BVbkm5U83a9inVw9EWKk7Vo2BgOupS0widrW9JqGfpWrrpoqT/ub5Qp/IQYGoxGDdkgbcjVXlyK2BGnViq0muMi6BBeD5WqwjGLCpMBJQN+iedu7YXmHVRAlIiIiIjJnCqVW2DGbOJ0SXx1a1qvE6RVakW+WKmupen3Wyu1xX6rBaMRGHACJylb06xxQ9esSUt1CX6qYIsN2VFbPy9PzutCRgH7d0K/UJ2qRxASXo+VysAwjpBA5ZtXEfN5q27JeqqIqghqWi4iIiIgsCIVSK+60jbRYvrxV8ey1yB1VpKdCgduyW1+qEAPDrmNrNARSWfWuoV/3SiVVPWmgbs3OE+TtPlEjhu0o94kKLaRctaXpeYsnpdI3atzEPEbWSKypMmpuKtOxVo1YqwfUJgdR1uSG5YPQI6lhuYiIiIjIoVMoteKMySvyXY6WhweWb1aWc00OpxrlHDNhjKGuciP0sRACo67j6mCDtAUJSkhV02ty8/S6qgmbiQtXL+U+Ue2IRMIay3qjIGpRbZUwahANw5DoEThtNSlsHsYNy9erIfW4YbnpSBhGsSEkNSwXEREREVkkCqUEa+BMFTmV4HKwfCVYnqwsZ0s4VetseuaqqmK9qqD0pUopMexaNodbXBtskUjUtuL48eNsDjYxGHq1+kQtsjbBhc5yLVpGIVGlwCmLVrc8YJUJNKVP1HTD8gR0oWYzqk+UiIiIiMiiUiglE5WBO+tISHApWB4KlpO15WydwymdXB8cYwxrTQ+a3BMqpUQbOyprOdZfe5pHy2Ea/7xciZZBAJMix436Rh0EQ6Sx3falarFEqnKbBEENy0VEREREjgyFUnKDysBddcwrhnWWh7ocTp2rI6cUTs2FMYZe1dCrG7ba7rAPR3aRElyJhkulb1QIkWMm0VMYNSOpVEF1NLalqTpqEyaVUdYEwJASRNSwXERERETkKFIoJXuqDZyrI20Jpx7sLKdrw9kmcsomrMIpWVGb0fBkZxklw7BLrJnASc2svC2TKqiqnVRCWQL1uAoKgERMFW2sCUkVhCIiIiIiR51CKXlajYHzdWRUwqkrXcUdTeKuOnJS4ZQccSnlRvMJiFO3I2Z7eyr3AVvRshkNo5CoU+COShPF9i9Rm46m6iaVUJUJVCZOqqBMqYLqUqXpeCIiIiIiS0qhlNy0noFn1JFBgkttxaW24s4mcWcJp7QYnBykkLZDoxwQmUlgNAmUgJTM9vXJ/bttK9tTfv7yhVhu7AiqYv4aAZMSPRM4Cajv/M2xk2l4ZSqe7Xb0h4Lt790w9IioCkpEREREZBUolJJ9WzNwdx3YioYLreVSV3GmSdxVRY4rnJIZaRNsRcMgGQbR0KY8sKZDpEnQNBUaJcCkvIcxTNKm7WGZOw+lct1MvhoMTLoSWQOm3G/LxZi8XdWBTyXdEEDZ0guqV7WT+rOEpQsVG6qCEhERERFZWQql5Jat28S6DWxEwzeHhku2hFN1DqdE9mMUyQFUMmxFQ5cMXYJRTFQkbIqT4MiQg6Fqt9AIsLfU71pj9lZYE1irBpMgqi4hVG1zY3IATCLEikHXI6HyMhERERERyRRKyW07bhPHTGIjGZ4YGi51ZVpfFTmmcEp2kRKMEpMqqEHaDqHamLAlhOoZOGl3VjnJwTFEjElYItYkrBnfHl8v28f7mUS/Z4nVgMaOq6Dyn21o2Ew9VAUlIiIiIiJ7USglM2EMnDCJ4yZxLRm+PjBcqCrONok7q8CaVmpfaeMQaisZhtGwlQwhGUYJuqlKqP4NIZTcmtxxy5qpcIk0dX28PeWgqeybpzYmjEkldApURKyN23lgmROZUr5aVzVbAQZdX1VQIiIiIiKyLwqlZKaMgZMmccIkrkTDo0PDBVtzVwmn+gqnVkJKMLyuEmocQoVSCVWlyJqBvkKofUr0xs3CJ5VLJVwqt00JpYyJZapjmARS4/CJVDprmfz92pa/GyFaYrIMY0MM4wmSN+qZmlHoDvYli4iIiIjIUlIoJQfCGDhdJU6mxJVk+NrQ8KStOddEzlSRnsKppRInlVCW4SSEglGAkEoIRWS9hFCyXzmIWquH9KsRleno2xHWhPzDNr2CYGnQnpLJdU/JkJIhREubamLuvnWIr0VERERERCRTKCUHyhq4wyROmcTlaHl4aHnSWs72cjjV6Nz4SIoJhqUKaisZhsnkYKqEUBWRClg3ib5mdN2iG4Oonm0xRKIxDLueAiYRERERETnSFErJXFgDZ6rIqQSXg+XhgeXJynKuidxRRWqdVy+0cQi1VaqgxiHUMEBMufF1DRwziZ5CqNvw9EGU+jaJiIiIiMiyUCglc1UZuLOOhAQXg+WhYDlRW87VkdMKpw5MSlA6CeWvCXK763w9jO9LZnu/qX1Gk5XxIMXtEOqESTTKSG6TgigREREREVlNCqXkUFQGztaRLsHFzvJQZzlZW+6sI7VJNAZqEpVhZYOqlCAkaNN2qJTXUBsHRuX25Po4YNq5TyJXNY17Waey3ySgijmUGj/elD0N2xPDLJEGhVCzoyBKREREREREoZQcqtrAuTrSlnDqK52lNjm0amye9lcZaMhBVWUSdbldmxJaUVapP0JCCZw6cgVSIDcGH1/vEoRkaDCMRjURYDp8itvXc4aUMAbM1Cpq2+HS9leDmXQhMgZ6pMntykClJuQHSEGUiIiIiIjINIVSshAaA+frCGyv5NYGQwcMEyQzrhLK9Tt1CVBqxl9zWFWbRE35OnXbzim0imUqXA6Y8vGHZAjk2+Mgaly5FBOECB2Q0nZAlIOkRDKRtsvtrCGHcg1gy6UyYPcVJKWn30VmaO8gKimIEhERERGRFadQShaONbBmYO2GACXfjglacmgVyCu+5alnhmRycGUNNEBdqq0mIdV0eDV1u3qa0CpNh02TqiZTtuXwqUu5J9MkbAK6UtFkSNhxRVO5VBhsCZmaPaqU+k1iGBUkHS0KokRERERERG6GQik5cqyBPtCvdg+t0ji0SoYQ8vXNxCSwSslgbA6tKkvpW7UzpIKdAVQo1U2R7eqmUP6yPBUuYUo/JluOsUfiODkY253CpuWhIEpERERERGS/FErJ0sm9kqBndg+tIFc1tQm6YGiBrQSY7Ubi42CJBLZMpRtXN9UmsUbuh7W/qXOyXBREiYiIiIiI3A6FUrKS6smqfnsHV7tTddPqSlgTqU1QECUiIiIiIjIDCqVEZKUZItZErMmhU2XGt7cvlRm32c/7NQqiREREREREbptCqZWSp6BNn4DbcpJtTCIkS0x28jWm8VpwIkdN2hEojcf5bmHTeF9DojKRygSszVM28/hPpFSuJUNMlmFoFESJiIiIiIjcJoVSR1rCkjDmuhNupk++y/1l2/QJ+PVVIWDooiWkipiqElBV14VV1Y7QKii4krlJ143t6wOm7fumq5qsCWWchxIxmXHUtPOZkyEkwzD0iEHjWkRERERE5KAplFooaUeoZJ4iaNo+8c6hkzGJinzine8bM2CmKj3YPgGPydDGiph6JCyGQG0ile1oTJeDKjN5lnKEEGJVwqqKmAyRihB3BlbXB1lJJ/hyE3K1UqCyYVK1lK+HyRS67Z+NEjYRyCPUkEqfMAPEZEgpj/U2VoTUI7ewFxERERERkUWw8qHUXWsXJ9efsoX1U965d+ByM22xJxVNU9UdmDKViIC1sTxRqe8wJq8Rl/Lpd0z5hDwkQxsaQl477ib+5uuPtaJNFW1o9tzHlOCrNoF+1WFKJRYJylEBTCqsQqpKBco4xJoKqyZVWfl2UmCwEiwRa/MYqkzcETqNQ9XcULwr0+vG4ypPp0vJEIGYagahLuNGoaeIiIiIiMhRs/Kh1Knelae492Yipds/GU6ldY0BUhzXP0FIllFsCOHWQqaDkLAlbGog7r1XZTpqE+nZdlLpNf7XNGWf/Dz1dsXVVKVVSpaImYRYMZntr6jf1WLbXqUuVzqViqdy3RAnAVRtcwg1DlhzVZ8hxoo29BgocBIREREREVlaKx9KbbTHD/sQlpAhpIaQeMrgyhCpbUdjWowtwZUZT8Qa75UAS4iWQJkKWKYejsMphViHIU+zG4dK9Q3T7HLFX2U7ahsg5U5OyeQKv3F13EAr14mIiIiIiKyslQ+l5LCYPF0wVrRPu2ec9A9qTJunDNpcTzZeH23WIVZKdkX7YG03zzdmu7H4jdPs4tQ0vNJ/DMCYXPpX/h27WLEZGhal0k9EREREREQWh0IpWXjbUwanNoa9959ViJUfYbevl6+5gbbZbhg/dd+Nt+cdbpWjNtv9yYyZ2lamUpqpPmbbX+Pk8fkx7GgobqbK3gymhHqGNtaEVKNKNBEREREREdkPhVKydGYVYpFSLvyZ2nM7dklT1wwx2hJY2VJplfuCpalw6/rA6mbCrcYC1XASFN0YKMWp7eNm+aXSiRIqEXes5rijuVcuaspXUyl0ivnvzk3F81S7QdA0OxEREREREZkthVKy8vYbYl3/6FJPVfpi5f5KxpJDLZswtxFuNXVNZ0fYcbg0XonRsCNcGgdK46dMpZJpHDC1Ma9yqJXqREREREREZFEolBK5Lbk2KWB3b+p+W+FWpDIQSIRoaVNNDAb1ZxIREREREZFloFBKZCHsHm71qppR7A7vsEREREREREQOyFKFUs65lwPvBCrgPd77tx/yIYmIiIiIiIiIyC6WZh6Qc64Cfgl4BXAv8MPOuXsP96hERERERERERGQ3SxNKAd8LfMl7/6D3fgR8AHjNIR+TiIiIiIiIiIjsYplCqWcBX526/UjZJiIiIiIiIiIiC2aZekrtts59un6Dc+5+4H4A7z2v+Dv3H/RxiYiIiIiIiIjIdZapUuoR4DlTt58NPHr9Tt77d3vvX+y9f7Fz7jPkMEsXXRbyojGqy6JfNEZ1WfSLxqgui37RGNVl0S8ao7os+kVjdKEvT2uZKqU+DdzjnHs+8DXgh4D7DveQRERERERERERkN0tTKeW974CfAD4GfCFv8p8/3KMSEREREREREZHdLFOlFN77jwAf2cdD3n1QxyIyIxqjsug0RmXRaYzKotMYlUWnMSqLTmP0CDMp3dALXERERERERERE5EAtzfQ9ERERERERERE5OpZq+p5z7r3AXwOe8N6/sGz7c8C7gBPAQ8Df9t5fcc41wHuA7yb/O7zfe/+z5TEvB94JVMB7vPdvn/drkeU0wzH6EHAVCEDnvX/xnF+KLKl9jtEe8MvAi4EIvNl7/4nymO8B3gesk6dVv9l7r9JcuW0zHKOfAJ4JbJWnfpn3/on5vRJZVs655wDvB+4mj7t3e+/f6Zy7E/hN4Hnkceq89xedc4b8ufOVwCbwd733/6c81+uBny5P/a+89786z9ciy2nGYzQAf1ye+mHv/avn+VpkOd3CGP0O4AHyedPbvPfvmHoundsvuGWrlHof8PLrtr0HeKv3/juBDwH/qGx/LdAv278H+HHn3POccxXwS8ArgHuBH3bO3TuPg5eV8D5uc4xOPe6veO9fpEBKZux93PwY/fsAZfsPAj/vnBv/XvkPwP3APeVy/XOK3Kr3MZsxCjm8elG5KJCSWemAt3jvXwC8BHhT+Sz5VuDj3vt7gI+X25A/c47fK+8nv39STr5+BvgLwPcCP+OcOzPPFyJLayZjtNiaeh9VICWzst8xegH4SeAd00+ic/ujYalCKe/9J8kDctqfAT5Zrv828DfL9QQcd87V5P/JHwFXyL/0v+S9f9B7PwI+ALzmoI9dVsOMxqjIgdnnGL2X/IGAckJ/CXixc+6ZwCnv/e+V6qj3A3/9oI9dVsMsxugcDlNWmPf+sXEViff+KnlV6GeRP0+OK51+le33xdeQq6GT9/73gTvK++hfBX7be3/Be3+RPLYV8Mttm+EYFTkQ+x2j3vsnvPefBtrrnkrn9kfAUoVSe/gcME7tXws8p1z/r8AG8BjwMPAO7/0F8mD/6tTjHynbRA7Kfsco5MDqfznnPuOcu3+eBysraa8x+kfAa5xztXPu+eSKvueQ3zMfmXq83kfloO13jI494Jz7rHPun5bpKSIzVSqcvwv4A+AZ3vvHIJ9wAefLbnt99tRnUjlwtzlGAdacc3/onPt955z+A0pm7ibH6F70PnoErEIo9WPkcr/PACfJ1SaQU9MAfAvwfOAtzrlvBXb7UKo+KHKQ9jtGAV7qvf9ucinqm5xz3z/nY5bVstcYfS/5l/sfAr8IfIpcbq33UZm3/Y5RyFP3vhP4vnL5kbkesSw959wJ4LeAn/LeP1Wl817vmXovlQM1gzEK8NzSSuI+4Bedc98248OUFbaPMboXvY8eAUvV6Hw33vs/BV4G4Jz7duBV5a77gI9671vgCefc/yaX9H+Vnf+L+mzg0fkdsayaWxijD3rvHy2PfcI59yFygPXJG55cZAb2GqPe+w74B+P9nHOfAr4IXCS/d47pfVQO1C2MUbz3Xytfrzrnfp38Pvr++R65LKuyWMlvAb/mvf9g2fy4c+6Z3vvHytSncR+zR9j9s+cjwF++bvsnDvK4ZXXMaIwy9Zn0wbKAxHcBX57DS5Alt88xupc9x64sjqWvlHLOnS9fLXn1kneVux4GfsA5Z5xzx8kN1P4U+DRwj3Pu+WXVnh8CPjz/I5dVsd8x6pw77pw7WR5znHwi9rn5H7msir3GqHPuWBmDOOd+kLwS5J+UcuqrzrmXlClRrwP+2+EcvayC/Y7RMp3vbNnekFfz0/uozER53/uPwBe8978wddeHgdeX669n+33xw8Dryu/7lwCXy/vox4CXOefOlAbnLyvbRG7LrMZoGZv98pxngZcCfzKXFyFL7RbG6F50bn8ELFWllHPuN8j/o3TWOfcIecWSE865N5VdPkheKhJyF/4HyB9CDfCA9/7/luf5CfIv/Qp4r/f+83N7EbLUZjFGyxS+DznnIP8M/7r3/qPzexWyzPY5Rs8DH3POReBr7Jz+9EbyKmnrwP8sF5HbNqMx2i/bG/Lv+t8BfmU+r0BWwEvJY+2PnXOfLdv+CfB2wDvn3kD+j6fXlvs+ArwS+BKwCfwogPf+gnPuX5JPqgD+xVRvSZHbMZMxCrwA+OXyHmuBt3vvFUrJLOxrjDrn7iZP1T8FROfcTwH3eu+v6Nx+8ZmUNKVSRERERERERETma+mn74mIiIiIiIiIyOJRKCUiIiIiIiIiInOnUEpEREREREREROZOoZSIiIiIiIiIiMydQikREREREREREZk7hVIiIiIiIiIiIjJ39WEfgIiIiMiyc879GjD03v/Y1La/BHwQeKH3/rFDOzgRERGRQ6JKKREREZGD95PAK51zPwjgnFsDfgV4yywDKedcNavnEhERETloJqV02McgIiIisvScc68F/i3wQuCngRd571/hnLPAW4E3AKeB3wHe6L2/WO7zwF8E1oDPlvu+UJ7zPwOXgW8Dvg94FXAC+Dng2eW+n/fe/7u5vVARERGRm6RKKREREZE58N7/F+AzwG8A9wM/Xu76h+Qw6fvJQdIG8O+nHvo/gHuAu4HPAf/puqe+D/jnwEng94AHgDd4708Cfxb43QN4OSIiIiK3TZVSIiIiInPinHsG8GXgbd77d5ZtXwT+nvf+d8vt5wBfAta99/G6x58FvgGc8N5vlEqp0XW9qh4F/hnwm977q/N4XSIiIiK3Qo3ORURERObEe/+4c+6bwOenNj8X+O/OuekAKgHnnXPfAH4W+FvAWWC8z1lyRRXAV6/7a/4G8Dbg55xzfwT8Y+/9H8z2lYiIiIjcPoVSIiIiIofrEeC+3YIj59yPAq8EfgD4CnAXuVLKTO22o+y9PM+rnXMN8GbgA8DzD+bQRURERG6dekqJiIiIHK53Af/GOfdcAOfceefcq8t9J4Eh8CRwDPjXT/VEzrl159x9zrlT3vsWuAqEgzt0ERERkVunUEpERETkcP0C8FHg4865q8CngD9f7nsAeLRcPl/uezqvB77inLtCXtHvR2Z+xCIiIiIzoEbnIiIiIiIiIiIyd6qUEhERERERERGRuVMoJSIiIiIiIiIic6dQSkRERERERERE5k6hlIiIiIiIiIiIzJ1CKRERERERERERmTuFUiIiIiIiIiIiMncKpUREREREREREZO4USomIiIiIiIiIyNwplBIRERERERERkbn7/0GPWMC3TLXlAAAAAElFTkSuQmCC\n",
"text/plain": [
"<Figure size 1440x720 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"df_top5.plot(kind='area', \n",
" alpha=0.25, # 0-1, default value a= 0.5\n",
" stacked=False,\n",
" figsize=(20, 10),\n",
" )\n",
"\n",
"plt.title('Immigration Trend of Top 5 Countries')\n",
"plt.ylabel('Number of Immigrants')\n",
"plt.xlabel('Years')\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"### Two types of plotting\n",
"\n",
"As we discussed in the video lectures, there are two styles/options of ploting with `matplotlib`. Plotting using the Artist layer and plotting using the scripting layer.\n",
"\n",
"**Option 1: Scripting layer (procedural method) - using matplotlib.pyplot as 'plt' **\n",
"\n",
"You can use `plt` i.e. `matplotlib.pyplot` and add more elements by calling different methods procedurally; for example, `plt.title(...)` to add title or `plt.xlabel(...)` to add label to the x-axis.\n",
"```python\n",
" # Option 1: This is what we have been using so far\n",
" df_top5.plot(kind='area', alpha=0.35, figsize=(20, 10)) \n",
" plt.title('Immigration trend of top 5 countries')\n",
" plt.ylabel('Number of immigrants')\n",
" plt.xlabel('Years')\n",
"```"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"**Option 2: Artist layer (Object oriented method) - using an `Axes` instance from Matplotlib (preferred) **\n",
"\n",
"You can use an `Axes` instance of your current plot and store it in a variable (eg. `ax`). You can add more elements by calling methods with a little change in syntax (by adding \"*set_*\" to the previous methods). For example, use `ax.set_title()` instead of `plt.title()` to add title, or `ax.set_xlabel()` instead of `plt.xlabel()` to add label to the x-axis. \n",
"\n",
"This option sometimes is more transparent and flexible to use for advanced plots (in particular when having multiple plots, as you will see later). \n",
"\n",
"In this course, we will stick to the **scripting layer**, except for some advanced visualizations where we will need to use the **artist layer** to manipulate advanced aspects of the plots."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [],
"source": [
"# option 2: preferred option with more flexibility\n",
"ax = df_top5.plot(kind='area', alpha=0.35, figsize=(20, 10))\n",
"\n",
"ax.set_title('Immigration Trend of Top 5 Countries')\n",
"ax.set_ylabel('Number of Immigrants')\n",
"ax.set_xlabel('Years')"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"**Question**: Use the scripting layer to create a stacked area plot of the 5 countries that contributed the least to immigration to Canada **from** 1980 to 2013. Use a transparency value of 0.45."
]
},
{
"cell_type": "code",
"execution_count": 58,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
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9OXC8hXedKkhvJGUq4a3qHzazPqmFsGcCrzvnXmva2TXbXMJRV8+a2U9SU/36mdkkMzu/ke18Cjyaqn8k8Cjbj3ZKdxfh1J0HLbwr0xDChcLnO+feacyJmNldFt5xb18zO8LM7iccgXVXbXWcc1uAC4ATLbwj1Alm9kMz62tm1xBO+6o4v/cJ74j049SixY+m9j2Q+u8nhGuq/M7MDkidy22NOYdUTI5wJMEwM/telQXhG+om4Egz+1PqtfihmQ03s6kViQ0zm2bh3Zz2M7M+hAvTf1HP9LWXCRe9PpBwWlbFtnMJR+PUNdJrOVBx56kCM+vcyHOqSXczOzzt0YNwcfc1wBwzG2FmP7DwDmi/NrOTUnU/JbxGJ5lZbzO7inBdsEoNuEbLgWMtvCtggZnVNKoIwtFQXxPevfBCMzs01UfPIHzvVSQHbgGuNLMLUlOULiO8acH/18jrshzon3rdC6zxC1ADTDSzwtRn3i3A4aTeR6nE5LvAtalz6U94zeMVlRvRh1vs/V+Dmq7DI4R99fHUZ0TFwtLLgL8283itIjWV7E/ArWZ2Yuqz5g+EibH6vs/WEU53m5DqY4MJv4Pa22snItIhKKkkIrJzuYbwDjuPEa77kE+4IHC8jjq48Hb0ZxL+dff9VJ3/Zfs7ZV1J+IN7OWESqqa21hLeFagn4XSD54APCe+61iZS53ci4Yid/yP8sf0cYZz1rYdUtR0f+AlhEul1wgXXn6Cev1in1jM5gXBkybuEP+yWUPPUpfr0JEz0/At4gfA27kOdcy/VE8MzhH/l/47w9f0XYV/pB1ySKhMQJh3+nWp7MeEIs5EVo39SyYZxhGuT/JOwn1xD00wiTIj9m3CKSoOl1uk6BugKzCd8DaYRTv3fnCoWIXy9P2TbndLG1tP0m4SjP95zzlW080qq7sK0tVXSY3qNcNHpRwjfH1Mac061uIJwceKqj/9JrYl2DOG5zSQc2fEkYWLk61Td/yPsn38m7Hd9CZNxVdV3jX5NeCerz1PnVOO6Rs65jYQLGD9IeIe3t1PHvJLwevw9VfROwrvJXU/4mk0CrnDOPUrj3Eo47en9VFz9GlkfwkTY5ak2CoGznXNV1/05l3C0zGLCa/i/wIa0Nurtwy38/k+33XVI9Y2RhL8DXidMim4AxtTVf9uhKwjvYhcjXEsph/C7rb7vs3LC77M+wAeECfFbaX+vnYhIh2BhIl5ERHZWZvYy8K1zrs2SOiIiIs1lZouA5ampmiIi0gq0ULeIyE4kNV3pSMLRFtnAeMLFd8e0ZVwiIiKNYWZHEC7+vphwDaP/IpxGObkt4xIR2dkoqSQisnNxwETgbsKpD/8CTnPOzW3TqERERBrv54Trm0G4nttJzrlX2jAeEZGdjqa/iYiIiIiIiIhIo2mhbhERERERERERaTQllUREREREREREpNE6+ppKmrsnIiIiIiIiItLyrL4CHT2pxKpVq9o6BJFaFRQUUFRU1NZhiNRKfVTaO/VR6QjUT6W9Ux+V9k59tP3p3r17g8pp+puIiIiIiIiIiDSakkoiIiIiIiIiItJoSiqJiIiIiIiIiEijdfg1lURERERERESk9TjniMfjBEGAWb1rOddr7dq1JBKJFohMGsM5h+d55ObmNvl1VFJJRERERERERBosHo+TlZVFNNoyKYVoNEokEmmRtqRxkskk8XicvLy8JtXX9DcRERERERERabAgCFosoSRtKxqNEgRBk+srqSQiIiIiIiIiDdYSU96k/WjO66mkkoiIiIiIiIhkjHXr1jFx4kSOPvpohg4dyvjx4/niiy9arP1FixbxzjvvtFh7HZnGq4mIiIiIiIhIRnDOceGFF3LmmWdy3333AfDhhx9SVFTEfvvt1yLHePPNN+ncuTP9+/ffbl8ymdyppgbuPGcqIiIiIiIiIhntjTfeICsri3PPPbdyW58+fXDOceONN/LKK69gZvz85z/nlFNOYdGiRUybNo0ZM2YAMHnyZPr27cu4ceMYOHAgZ555JvPmzSOZTDJ9+nRycnKYOXMmkUiEp556iptuuonHH3+cPfbYgw8//JBDDjmE+fPn8+yzz7LnnnsSBAHHHnsss2fPpkuXLm11WXYYJZVEREREREREJCN8+umnHHroodttf/755/noo4+YN28eGzduZMyYMQwaNKje9rp06cKLL77Iww8/zLRp07j99tsZP348nTt35tJLLwXg8ccf58svv2TWrFlEIhF23313nn76aS6++GJee+01Dj744IxMKIHWVBIRERERERGRDPf2229z6qmnEolE6Nq1K4MGDWLp0qX11jvxxBMB6Nu3LytWrKi13Mknn0wkEgFg3LhxPPnkkwD85S9/obCwsAXOoH1SUklEREREREREMsKPfvQjPvjgg+22O+dqLB+NRqvtSyQS1fbn5OQAEIlE8H2/1uN26tSp8t89evSga9euvP766/zjH/9g2LBhjTqHjkRJJRERERERERHJCMcccwxlZWU8+uijldv++c9/sscee/Dss8/i+z4bNmxg8eLFHH744fTo0YPPPvuMRCLB5s2bef311+s9RufOndm6dWudZX7605/y85//nLFjx1aOYMpESiqJiIiIiIiISEYwMx588EEWLlzI0UcfzfHHH8+UKVM49dRTOeiggxg5ciSFhYVMnjyZvfbaix49ejB27FhGjBjBZZddRp8+feo9xsiRI3nhhRcYOXIkixcvrrHMqFGjKC4uZty4cS19iu2K1TYErINwq1atausYRGpVUFBAUVFRW4chUiv1UWnv1EelI1A/lfZOfVRaWklJSbXpXs0VjUZJJpMt1l57sHTpUn7729/y17/+ta1DqVdNr2f37t0BrL66uvubiIiIiIiIiEgLmTp1KjNmzGDq1KltHcoOp+lvIiIiIiIiIiIt5LLLLuPtt99mwIABbR3KDqekkoiIiIiIiIiINJqSSiIiIiIiIiIi0mitsqZSYWFhLrAQyEkd88lYLHZ9WpkcYAZwFLABGBeLxb5qjfhERERERERERKRxWmukUgIYFovFDgMOB0YXFhYOSitzIfBtLBbrDdwJ3NpKsYmIiIiIiIiISCO1SlIpFou5WCy2NfU0K/VwacVOAR5J/ftJYHhhYWG9t68TERERERERkZ3L97//fUaOHMmwYcO45JJLKC0trbP8wIED2bhxYytFt/NolelvAIWFhRHgXaA3cE8sFlucVqQHsAIgFoslCwsLNwF7AkWtFaOIiIiIiIhkpuJNG9i05iu6H3BUW4eScYKli+HbpidskpEIge9v25DfBe+wgXXWyc3NZd68eUB4t7UZM2YwYcKEJscgTdNqSaVYLOYDhxcWFu4B/LWwsLBPLBb7sEqRmkYlpY9morCw8BLgklSbFBQU7JB4RVpCNBpVH5V2TX1U2jv1UekI1E+lvVMfDX371QeUr/sn2QceyW57dm3rcDq0tWvXEo1uSyckN2+CZHnTG0yWV59GtXlTtfZrU1Hmxz/+MR9//DHRaJTzzjuPVatWkUgkuOiiizj33HMBMDMikUidZfbdd1+WL18OwOzZs5k3bx53331308+rg8jJyWnyZ0SrJZUqxGKx7woLC/8OjAaqJpVWAt8HVhYWFkaB3YHtUp2xWOx+4P7UU1dUpIFM0n4VFBSgPirtmfqotHfqo9IRqJ9Ke6c+Gtq65VuCZIJVyz+izPVp63A6tEQiQSQSqXwe+D4Efh016uZ5EYKq9X2fZDJZb71kMkkymWT+/PkMHTqUZDLJ7bffTn5+PqWlpZx00kmMHj2aLl264JzDT7VbW5mKNsMQfIIgaFAcHV0ikdjuM6J79+4Nqttad3/rCpSnEkp5wAi2X4j7WeA84E3gDODlWCy23UglERERERERkUZLxsFBYqsSbJkgHo8zcuRIIFwv6ac//SkAf/zjH5k7dy4Aq1atYvny5ZUJowoNKSMN01ojlb4HPJJaV8kDYrFY7LnCwsLfAUtisdizwEPAzMLCwmWEI5TOaqXYREREREREJMM5P4EDyks2tXUo0gKqrqlUYdGiRbz22mvMnj2bvLw8zjjjDBKJRIPLmG1blSe9ntSsVZJKsVjsfeCIGrb/psq/48CZrRGPiIiIiIiI7FzMjwMQlG+tp6R0VFu2bGH33XcnLy+PZcuW8d577zWqTNeuXfn888/Zb7/9eOGFF+jcuXNrht8htfqaSiIiIiIiIiKtKfB9cGXhk1RySTLP0KFDmTlzJiNGjOCHP/whRx55ZKPKXHvttZx33nl0796dAw44gOLi4tYMv0NSUklEREREREQyWlm8FBcEALgg8xdebnX5XeDb7e6z1XCRCPhVFurOr399o88//3y7bTk5Ofz5z3+usfzixYsr/11bmZNPPpmTTz653mPLNkoqiYiIiIiISEYrK92KC3wcEXBBW4eTcbzDBjarfjQa3SnuspaJvLYOQERERERERGRHKo+X4AKfcpeH4ddfQUQaREklERERERERyWh+WRznfMrdbnhopJJIS1FSSURERERERDKaX1YCgY/vhWv1lCd0BziRlqCkkoiIiIiIiGQ0v7wU5wwvK5/ARSjfuratQxLJCEoqiYiIiIiISEZzfhwfj8DLI8AjWbKhrUMSyQhKKomIiIiIiEhGc34C5zzMy8M5j2RcSaWO7Prrr+eBBx6ofH722Wdz1VVXVT6/4YYbmD59eqPbfeCBBygtLW2RGNMFQcB1113HsGHDGD58OGPGjOHrr7+us87AgQPZuHHjDomnpUTbOgARERERERGRHcpP4MzDIp1xRAhKv2vriDLK4pVb+LY02eT6nhchCLbdlS8/L8rAnrvWWr5fv34899xzXHzxxQRBwMaNG9myZUvl/iVLlnDDDTc0Oo4HH3yQ008/nby8vAbX8X2fSCRSb7lnn32WNWvWMH/+fDzPY9WqVXTq1KnRMTZUMpkkGt3xKR8llURERERERCSjWZAAF8GLZuO7KH55cVuHlFG+LU0STzb9rnqeZwTBtvr1Jaj69+/Pb3/7WwA+/fRTDjjgANatW8d3331HXl4ey5Yto0+fPgDcd999zJ49m7KyMkaPHs1VV11FSUkJEyZMYPXq1QRBwC9+8QuKiopYu3YtZ555Jvn5+Tz55JO8+uqr3H777ZSVldGrVy/uvPNOOnfuzMCBAznrrLN49dVXueCCC5g5cyZHHHEEixYtYtOmTUyZMoWBAwdWi3nt2rXsvffeeF44Yax79+6V+375y1+ydOlS4vE4J510UrVRV3/84x+ZN28eyWSS6dOn07t3b/7xj39w/fXXE4/Hyc3N5Y477qB3797MmjWLBQsWkEgkKCkp4eGHH+aCCy5g06ZNJJNJrr76ak444YQmv041UVJJREREREREMlZZaQk4H4eHGQRkkyzfMVOcpHV069aNaDTKN998w5IlSzjqqKNYs2YN7777LrvtthsHHXQQ2dnZvPrqqyxfvpw5c+bgnOP888/nrbfeYsOGDXTr1o2ZM2cCsHnzZnbbbTfuv/9+nnjiCbp06cLGjRu56667mDVrFp06deKee+7h/vvv54orrgAgJyeHv/3tbwDMnDmTZDLJnDlzWLBgAXfccQezZs2qFvPYsWM57bTTWLx4Mccccwynn356ZeLrmmuuIT8/H9/3GTduHB9//DEHH3wwAF26dOHFF1/k4YcfZtq0adx+++307t2bp59+mmg0ysKFC7n11lsrpwO+++67zJ8/n/z8fJLJJA899BC77rorGzduZOzYsYwaNQoza7HXQkklERERERERyVjx0mIC38f3dsE8SLpcAr99r1Mj9evfvz9LlixhyZIlXHLJJaxZs4YlS5aw22670a9fPwBeffVVXn31VUaNGgVASUkJy5cvZ8CAAdx44438/ve/Z8SIEduNKoIwOfPZZ59xyimnAFBeXs5RRx1Vuf8nP/lJtfJjxowBoG/fvqxcuXK79rp3787ChQt54403eOONNxg3bhzTpk3j2GOPZfbs2Tz66KP4vs/atWv5/PPPK5NKJ554YmW7c+fOBcIk2KRJk1i+fDlmRnl5eeVxjjvuOPLz8wFwznHLLbewePFizIw1a9awfv169tprryZc8ZopqSQiIiIiIiJ8i820AAAgAElEQVQZKxkvxjkf5+1KxIyAHFzQ9Kla0j7069ePJUuW8K9//YsDDzyQ7t27M336dHbddVfGjRsHhEmVyy67jPHjx29Xf+7cubz88svcfPPNDBkypHIEUgXnHMcddxz33ntvjcdPXw8pOzsbgEgkQjJZ8/S9nJwchg0bxrBhw+jatSsvvvgivXr1Yvr06cyZM4c99tiDSZMmEY/Hq9WpaNf3w3Wn/vCHP3D00Ufz0EMPsWLFCs4444wa43r66afZsGEDc+fOJSsri4EDB5JIJGq+oE2ku7+JiIiIiIhIxkomSiDwsejumIFPLub8+itKu9avXz/mz5/PHnvsQSQSIT8/n82bN/Puu+9WjlQaOnQos2bNorg4XENr9erVFBUVsWbNGvLy8jj99NO59NJL+eCDDwDYZZdd2Lp1KwBHHXUU77zzDsuXLwegtLSUL774osnxfvDBB6xZswYI7wT38ccf07NnT7Zs2UJeXh677bYb69ev55VXXqm3rS1bttCtWzcAYrFYneUKCgrIysrijTfeqHEEVXNppJKIiIiIiIhkLL8sjgsCvNy9MQ8gD+ccybJSotkNv8uXtC8HHXQQGzdu5NRTT63cduCBB1JcXEyXLl0AGDJkCJ9//nnlVLVOnTrxf//3f3z11VfcdNNNmBlZWVncfPPNAJxzzjn853/+J3vttRdPPvkkd955Jz/72c8oKysD4Oqrr2a//fZrUrxFRUX8z//8T2Vbhx9+OOeffz65ubn06dOH448/nn322Yf+/fvX29bEiROZNGkS999/P4MHD6613H/8x39w3nnnceKJJ3LIIYfQu3fvJsVeF3POtXijrcitWrWqrWMQqVVBQQFFRUVtHYZIrdRHpb1TH5WOQP1U2rudvY9+8+EbJNa/j7/3uYDHd6s/oWtkIXsfdhp5+b3aOrwOqaSkpNo0q8Urt9R7x7a6eF6EINg2eiw/L8rAnrs2K0ZpuPTXEyrvTlfvit4aqSQiIiIiIiIZK0jGCVwEz4vgnAMvD995JIvXg5JKLaK5CaBoNFrrOkTSvmlNJREREREREclYzo8TpH76mhkW6UzgIiTj37ZxZCIdn5JKIiIiIiIikrn8BM5t++nrLA/nPPxSJZVEmktJJREREREREclYFpThbNvSMF6kEwFRgvKtbRiVSGZQUklEREREREQyUnkiDi4JLlK5zfMgGWTj/LI2jEwkMyipJCIiIiIiIhkpUVJMEPg4y63cZga+y8ZVuduYiDSNkkoiIiIiIiKSkcoTJbjAJ4jsUrnNPPBdDs7pbmMdWY8ePbj88ssrnyeTSQ499FDOPffcFml///33b1T5WbNmMXnyZACmTJnCtGnTtitT2/aa2miu+o7VUqI7/AgiIiIiIiIibSCZKIbAx0XyK7eZGckgB3MaqdRS1nxTTrw0aHJ9L1JO4G+rn5vn0a1HVp11OnXqxKeffkppaSl5eXksXLiQbt26Neq4yWSSaFRpkebQ1RMREREREZGMlCwrxTkfyymo3GYGPjk4FxAky/Ci2W0YYWaIlwb4Sdfk+s45An9b/YYmqI4//ngWLFjAySefzN/+9jdOPfVUFi9eDMA//vEPrr/+euLxOLm5udxxxx307t2bWbNmsWDBAhKJBCUlJUydOpWJEyeyZcsWfN/n5ptvZuDAgQDccsstzJ8/n9zcXP70pz/RtWtXXnrpJe6++27KysrIz89n6tSpdO3atdHn/NBDDzFz5kyi0Sj7778/9913X7X9tR1nypQpfPPNN3z99dd88803XHTRRVx44YUA3HXXXTz55JN0796dPffck759+zboWM2hpJKIiIiIiIhkpKAsjnOOrE7bRrB4HgQujyAwyoqLyN29extGKM1xyimncOeddzJixAg++eQTzjrrrMqkUu/evXn66aeJRqMsXLiQW2+9lQceeACAd999l/nz55Ofn8+0adMYMmQIv/jFL/B9n9LSUgBKSko48sgj+eUvf8lNN93Eo48+yqRJkxgwYACzZ8/GzHjssce49957uf766xsd+z333MObb75JTk4OmzZt2m5/XcdZtmwZTzzxBMXFxRx77LGce+65fPLJJzz77LO89NJLJJNJRo8eXZlUqu9YzaGkkoiIiIiIiGSkIBkncB6RyLapVGaA5eIHHuXF65VU6sAOPvhgVq5cyTPPPMOwYcOq7du8eTOTJk1i+fLlmBnl5eWV+4477jjy88MpkYcffjhXXnklyWSSE044gT59+gCQnZ3NyJEjATj00EN57bXXAFi9ejUTJ05k3bp1lJWVsc8++zQp9oMOOojLLruM0aNHM3r06O3213Wc4cOHk5OTQ05ODgUFBaxfv57FixczevRo8vLyACpjb8ixmkMLdYuIiIiIiEhGcn4pjki1beZB4HXGdx5+6YY2ikxayqhRo/jd737HqaeeWm37H/7wB44++mhefvllHn74YRKJROW+Tp06Vf570KBBPPXUU3Tr1o1f/OIXPPHEEwBEo1HMDIBIJEIyGS7sft1113HBBRewYMECbr311mrtNsaMGTM4//zzef/99xk9enRl+xXqOk5OTk7lvyORCL4frg9WEW9jj9UcSiqJiIiIiIhIZvITOKr/0DYznO1CEHgk4xvbKDBpKePGjeOKK67goIMOqrZ9y5YtlQt3x2KxWuuvXLmSgoICzjnnHM466yw++OCDOo+3efPmynYrElCNFQQBq1atYvDgwfz6179m8+bNFBcXN+s4gwYN4oUXXqC0tJStW7cyb968Bh+rOTT9TURERERERDKSBWU4V32kkmdgXi4+EVzZ1jaKTFpK9+7dueiii7bbPnHiRCZNmsT999/P4MGDa62/aNEipk2bRjQapXPnztx11111Hu/KK69kwoQJdOvWjSOPPJIVK1Y0Ombf97n88svZsmULzjkuvvhidt9992Yd59BDD2Xs2LGMGjWKnj17Vi423pBjNYc51/QV2tsBt2rVqraOQaRWBQUFFBUVtXUYIrVSH5X2Tn1UOgL1U2nvdtY+miwvY/WSGMWlPlndx1VuDwLH+jUJdndPUrCbz979J7RhlB1TSUlJtSlka74pb/Ad22riRTwCf1v93DyPbj2y6qghLSn99YQwWQfUPJ+uCo1UEhERERERkYyTKCnBuQBHTrXtZuB5Hn55Fs41bT0cqa65CaBoNNqi6/xI69GaSiIiIiIiIpJxyuPFBH6SwOtcbbuZ4UU8kkE2BH4bRSeSGZRUEhERERERkYyTTJRAEBBEtl8/xvPAJxsCjY4RaQ4llURERERERCTjJMtKcM7Hy+663T4zIxnkAAFOo5VEmkxJJREREREREck4QVkpuIBI3l7b7TODgBwcRlnJt20QnUhmUFJJREREREREMk6QjOM7j6zsztvtMw98l0sQGOXFa9sgOpHMoKSSiIiIiIiIZJwgmcDV8pPXLEwq+XgkSza0cmTSEnr06MENN9xQ+XzatGlMmTKlRY/xxRdfMH78eAYPHsyQIUOYMGEC69evr7X8ihUrGDZsWKOOMWnSJJ577rkmxffSSy8xderUJtVtKdE2PbqIiIiIiIjIjuDHca7mpJLnQUAejgh+fGMrB5Z5vvzyS4qLi5tcPxKJ4Pvb1rbq3LkzP/zhD+usk5OTw9y5c7n88svp0qVLk49dm3g8zrnnnsv111/PqFGjAHjjjTfYsGEDXbtuv05XWxg1alRlbG1FI5VEREREREQk41hQ10glww86ERAhSGxu5cgyT3FxMeXl5U1+lJWVVXvekARVJBLhnHPO4f77799u34YNG7j44osZM2YMY8aM4Z133gFg+PDhbNq0CecchxxyCE888QQAl19+OQsXLqzWxt/+9jeOOuqoakmbwYMHc+CBB7JixQpOO+00TjjhBE444YTK9qvyfZ8bb7yRMWPGMGLECGbOnAmAc47JkyczdOhQxo8fz4YN20bKvfbaa4waNYrhw4fz3//93yQSCQAGDhzI7bffzgknnMDw4cNZtmwZALNmzWLy5MlAOGrp5JNPZtSoUYwbN67OEVUtSUklERERERERySh+eTm4csBq3G8GnpdF0kVxydLWDU5azPnnn89f//pXNm+unhj8zW9+w8UXX8zzzz/PAw88wFVXXQVAv379eOedd/j000/p1asXb7/9NgDvvfceRx11VLU2/vWvf9G3b98aj1tQUMDjjz/Oiy++yH333cdvfvOb7co8/vjj7Lrrrjz//PPMmTOHxx57jK+//pq5c+fyxRdfsGDBAv7whz+wZMkSIBwZdcUVV3DfffexYMECkskkM2bMqGyvS5cuvPjii4wfP55p06Ztd7wBAwYwe/ZsXnrpJU455RTuvffeRlzJptP0NxEREREREckoZfFSXBAQWHaN+z0PPC9CMsgiCJRU6qh23XVXzjjjDB566CHy8vIqt7/22mt89tlnlc+3bt3K1q1bGThwIIsXL2blypWce+65/PnPf2b16tXk5+fTufP2C7rXpry8nMmTJ/Pxxx/jeR5ffvnldmVeffVVPvnkE+bMmQPAli1bWL58OW+99RannnoqkUiEbt26MXjwYCBcv2mfffZhv/32A+DMM8/kkUce4eKLLwbgxBNPBKBv377MnTt3u+OtXr2aiRMnsm7dOsrKythnn30afD7NoaSSiIiIiIiIZJSyeDEuSBLYrjXuNwPPIiSDKAR+jWWkY7jooosYPXo048aNq9wWBAHPPvtstUQThNPIHn74YXr27Mk111zD3LlzmTNnDgMGDNiu3QMOOIA333yzxmM+8MADdO3alXnz5hEEQa3rP910000MHTq02rYFCxZgtv0IOudcneeZk5MDbL/+VIXrrruOSy65hFGjRrFo0SLuuOOOOttrKZr+JiIiIiIiIhklGS/GBT4uunuN+80Mi0QoD6I4l2zl6KQl5efnM3bsWB5//PHKbUOGDOHhhx+ufP7hhx8C4R3jNm7cyPLly+nVqxcDBgxg2rRpDBw4cLt2Tz31VN59913mz59fue2VV17hk08+YfPmzey11154nsdTTz1VY5JnyJAhzJgxg/LyciAciVRSUsKgQYN45pln8H2ftWvXsmjRIgB69+7NihUrWL58OQBPPfUUgwYNavB12Lx5M926dQOoXCuqNSipJCIiIiIiIhklmYjjnI+XtWeN+82DiHkkgyzMBbggaOUIpSVNmDCBjRu33cXvxhtvZOnSpYwYMYKhQ4dWLpINcMQRR1SOLBowYABr1qyhf//+27WZl5fHI488wp/+9CcGDx7M0KFDicViFBQUcN555/Hkk09y8skn8+WXX9KpU6ft6p999tnsv//+jB49mmHDhnHNNdeQTCY58cQT2XfffRk+fDjXXnttZeIoNzeXO+64gwkTJjB8+HA8z2P8+PENvgZXXnklEyZM4LTTTtshd8OrjdU3xKqdc6tWrWrrGERqVVBQQFFRUVuHIVIr9VFp79RHpSNQP5X2bmfso6v+9TaJ1e+SyD+drNzdttsf+I51axNYciH77vIZex5xEdl5e7RBpB1TSUlJtUTKl19+2aA7ttUmfUpX586da51SJi0v/fUE6N69O9S20n0VWlNJREREREREMkpQHsc5qzGhBOFIJc8zyoMcgsCjfMtaJZWaobkJoGg0SjKpaYgdkaa/iYiIiIiISEZxyTg+kVr3mxme5+G7HHw8kvGdaySXSEtRUklEREREREQyivMTOFf3z13PM4IgB4eHX7KxzrIiUjMllURERERERCSjmB/H1fNz1/PAt844IviJTa0UmUhmUVJJREREREREMkbg++DKcPWsMWxmGNn4ZOGSpa0UnUhmUVJJREREREREMkZZvBTnArC670tlBuARWBaBX94qsYlkGiWVREREREREJGOUx4txvk9gneosZx7gIvguCs6vs6y0P3fddRfHH388I0aMYOTIkbz33nvNbnPFihX06NGD2267rXLbxo0b6dWrF5MnT25UW0uXLuW6665rdkztXd2pWxEREREREZEOpDxeggt8nLdrneWqjlQiUFKpObK3foyX3NLk+pGIR9QPKp8H0V0p2+XgWssvWbKE+fPn88ILL5CTk8PGjRspKytr8vGr6tWrF/Pnz+fqq68GYPbs2fzoRz9qVBvJZJLDDjuMww47rEVias+UVBIREREREZGMkUyU4pwPWXvWWc4zA5dKKmmkUrN4yS2Ya3pSxwIPc9uSSvUlqNatW0eXLl3IyckBoEuXLpX77rzzTubNm0c8Hqdfv37ceuutmBlnnHEGRxxxBIsWLWLTpk1MmTKFgQMHbtd2bm4u+++/P0uXLuWwww5j9uzZjB07lrVr1wLw0ksvcffdd1NWVkZ+fj5Tp06la9euTJkyhbVr17JixQq6dOnCOeecw7Rp05gxYwZTpkzhm2++4euvv+abb77hoosu4sILLwRg+vTpzJo1C4Cf/vSnXHzxxU2+jm1B099EREREREQkY/hlJRD4RPL2qrOceYAZySCKw5EsK26dAKXZhgwZwqpVqzjmmGO49tprefPNNyv3nX/++Tz//PO8/PLLlJaWMm/evMp9yWSSOXPmcMMNN3DHHXfU2v4pp5zCM888w6pVq/A8j7333rty34ABA5g9ezYvvfQSp5xyCvfee2/lvvfff58//vGP3HPPPdu1uWzZMh599FHmzJnDHXfcQXl5Oe+//z6xWIznnnuO2bNn89hjj/Hhhx829/K0Ko1UEhERERERkYzhJ+M4Z0Rz6x6pZAaeFyEZZOHMKNuyluieP2ylKKU5OnfuzAsvvMDixYtZtGgREydO5Nprr2XcuHEsWrSI++67j9LSUr777jsOOOAARo0aBcCYMWMA6Nu3LytXrqy1/aFDh3LbbbfRtWtXfvKTn1Tbt3r1aiZOnMi6desoKytjn332qdw3atQo8vLyamxz+PDh5OTkkJOTQ0FBAevXr+ftt99m9OjRdOoUrv914oknsnjxYvr06dOs69OaNFJJREREREREMoZLxvHxsHDRpFqZB55FSLpsfBchWVLUShFKS4hEIhx99NFcddVV3HTTTTz//PPE43F+9atfMX36dBYsWMDZZ59NIpGorJOdnV1ZN5lM1tp2dnY2ffv2Zfr06ZWJqArXXXcdF1xwAQsWLODWW2+t1n5FcqgmFVP1Ko7v+z7OuUafd3ujpJKIiIiIiIhkDOfHca7+n7qeWThSyY8S4JGMb2iF6KQlLFu2jC+//LLy+UcffUTPnj0rEzxdunShuLiYOXPmNPkYEyZM4Fe/+lW19ZoANm/eTLdu3QB44oknmtw+wKBBg3jxxRcpLS2lpKSEF154ocZ1ntozTX8TERERERGRzOEncFZ/UskMzPMo93NwRAhKv2uF4KQllJSU8Otf/5rNmzcTjUb5wQ9+wG233cbuu+/O2WefzYgRI+jZs2ez7r52wAEHcMABB2y3/corr2TChAl069aNI488khUrVjT5GIceeihnnnkmJ510EhAu1N2Rpr4BWAcfbuVWrVrV1jGI1KqgoICiIg2jlfZLfVTaO/VR6QjUT6W929n66Iq3HqekuIxoj3F1lvN9x/o1ceLBl+ybt4Rd8iLsddRFrRRlx1ZSUlJtqlf21o/rvWNbXSIRD9/fdve3ILorZbsc3KwYpeHSX0+A7t27A9Q9hxSNVBIREREREZEMUVZaAi6Ja8BKL2bgRTyCpIdPFi4oa4UIM1NzE0DRaLTONY6k/dKaSiIiIiIiIpIR4qXFBH5A4OXWW9YMzAwXQGBRXKCkhkhjKakkIiIiIiIiGSEZL8G5JIG3W71lzYxIxMNcBN9l4QK/FSIUySxKKomIiIiIiEhG8MtKIQggsnuDypuBswiBZWFOSaWG6uBrM0ua5ryeSiqJiIiIiIhIRkgmSnCBTyRv7waVN88wZwSWhSMgWVa6gyPMDJ7naQ2kDJFMJvG8pqeGtFC3iIiIiIiIZISgvBTnHNG8vRpU3jOAaJhUckayuIho9vd3aIyZIDc3l3g8TiKRwKzeG4TVKycnh0Qi0QKRSWM45/A8j9zc+tcgq42SSiIiIiIiIpIRXDJOQATPizSofJgP8cCy8X2P8uJ15OYrqVQfMyMvL6/F2isoKKCoqKjF2pPWo+lvIiIiIiIikhECP0HQiJ+55gHOw3nZBHgk4xt3XHAiGUhJJREREREREckMfhznGpFUMsM5j8CycUTw49/uwOBEMo+SSiIiIiIiIpIRLCjDNWKNHzMw8wiI4ojiyrfuwOhEMo+SSiIiIiIiItLhlSfi4JLQiJFKngdmEQIffMsiSJbtwAhFMo+SSiIiIiIiItLhJUqKCZyP8xp+JysziHgeyaTDd1Fc4O/ACEUyj5JKIiIiIiIi0uGVJ0pwvk9guzS4jnlgXgTfh8CycC65AyMUyTxKKomIiIiIiEiHV54ogcCH6B4NruOZ4VmEIAkBWZjTSCWRxlBSSURERERERDq8oKwU53zIKWhwHTPwPI/AGYFlgQsIfI1WEmmoaGscpLCw8PvADKAbEAD3x2Kxu9LKDAWeAZanNj0di8V+1xrxiYiIiIiISMfml5XinCO70/caXMe8cLSSS3oElkXgjLLi9eTu1vA2RHZmrZJUApLAlbFY7L3CwsJdgXcLCwvnxWKxj9PKvRaLxU5upZhEREREREQkQwTJOM55eJHsBtcxAy/iESQ8nGUT+EZ58TollUQaqFWmv8VisdWxWOy91L+3AJ8APVrj2CIiIiIiIrIT8OMERBpVxczwPA/nDGdZBETwSzbuoABFMk9rjVSqVFhY+APgCGBxDbt/XFhYuBRYBVwVi8U+as3YREREREREpGNyfhyHNbqe5wF4OC+HAA8/rqSSSEO1alKpsLBwF+ApYFIsFtuctvs9oFcsFttaWFg4BvgbsH8NbVwCXAIQi8UoKGj4ImwirS0ajaqPSrumPirtnfqodATqp9Le7Sx9dJX5YFE6d+7cqHqlxXGyS3LptGsUz88hQnynuF7tyc7SRzOROeda5UCFhYVZwHPAi7FY7I4GlP8K6BeLxYrqKOZWrVrVQhGKtLyCggKKiurqwiJtS31U2jv1UekI1E+lvdsZ+miyvIzVS2IUl/pkdR/XqLqbvvUp+nYFBd1K2K3kPXbN9dm734QdFKnUZGfoox1N9+7dgfqH/rXKmkqFhYUGPAR8UltCqbCwsFuqHIWFhQNSsW1ojfhERERERESk40qUlOBcgCOn0XXNA0utxRRYFi5ItnR4Ihmrtaa/DQbGAx8UFhb+M7XtV8A+ALFYbBpwBjCxsLAwCZQCZ8VisdYZRiUiIiIiIiIdVjJRTOAnCbw9Gl3XM8CF4y18F4XAb+HoRDJXqySVYrHY69QzbCoWi00FprZGPCIiIiIiIpI5yuMl4AKCSOOTSuaBqzJSCY1UEmmwVpn+JiIiIiIiIrKjJMtKcIFPJGvPRtc1M3CGc6mkEgFOo5VEGkRJJREREREREenQ/PIEuACvU7dG1zUDzzz8ZEBAFg4oK/m25YMUyUBKKomIiIiIiEiH5spLCJxHVnbnRtf1PPC8CH7S4bwsgsCjvHjtDohSJPMoqSQiIiIiIiIdWpBMEDTx5204UilC0gdnOfh4+KW6EblIQyipJCIiIiIiIh2bH8e5JiaVPMMiEfwkOMvCESFZurGFAxTJTEoqiYiIiIiISIdmQQLXjJFKEfMIAnCRHBwRgsTmFo5QJDMpqSQiIiIiIiIdVuAnwZXT1J+3noF5HkEQwczDt2ycH2/ZIEUylJJKIiIiIiIi0mElSkpwQXjntqYwDzzPcEH43HeRMFElIvVSUklEREREREQ6rLJ4MS5I4rxOTapvZniehwvCn8eBZUHgt2SIIhlLSSURERERERHpsJKJElzgE0R3a3IbnmdY6uexTxTnNFJJpCGUVBIREREREZEOK1lWinM+XnTPJrfheeCIAhCQjbkAFwQtFaJIxlJSSURERERERDosv6wEggDL69bkNsy2jVRyXhYOR3liS0uFKJKxlFQSERERERGRDisoj+OckZ27e5PbMIOKn8cBWQSBR/mWNS0ToEgGU1JJREREREREOiyXjOMTaVYb5gEubMN52QR4JONFLRCdSGZTUklEREREREQ6LOcncK55P22rjlSqSCr5Jd82PziRDBdt6wBEREREREREmixI4Jo5XsIzA+fhHGDZOCL4iU0tE59IBtNIJREREREREemQAt/HggQOa1Y75oWLdQdBgHlRfLJwyZIWilIkcympJCIiIiIiIh1SWbwU5wKcNXNNJQPzIiST4fPAsnBBsgUiFMlsSiqJiIiIiIhIh1QeL8b5Ps46N6sd88DzIvhJB4DvojhfSSWR+iipJCIiIiIiIh1SebwEF/gE3i7Nasczw7MIgR8+DywLnN8CEYpkNiWV/n/27jVItiy9y/vzrp1Zp0/fpmemNTOMLkhCYERgMGALYYMM4QCMAPMB2MYWUiAE4iKhIAIDYWMLx0QgR2CHbBlxCQkEI27WJhAIG9kWRsaSwMLGhIW5WLIxSCM06pmebnX3qcrMvfdayx+yTve51CWramdmZfXzi5joOlm79npjTmZF7P9517skSZIkSQdpXC2oNcP85RvdJ2LdqTTm9WymwsxQSdqAoZIkSZIk6SCNwwJKprn/gRvdJ9K6W6mW01ApjqhUxv54ijKlO8tQSZIkSZJ0kMqwoNZg/sz7bnSfFJCaRDntVKoxp9agf+uVKcqU7ixDJUmSJEnSQarjkkwi4oaPtnHaqVQfdirNybVhPHl1giqlu8tQSZIkSZJ0kGpeQr35Y21EkJpE1GZ933SPQmJcfurG95buMkMlSZIkSdJhyivKRI+1EVBjHSqRjqg05MUbk9xbuqsMlSRJkiRJBylKDzTT3CsF8fAROc0pzKjDg0nuLd1VhkqSJEmSpIOzWp5AHak3nad0KgVQ3gmoMkONac4AACAASURBVHNqGSe5t3RXGSpJkiRJkg7OsDim5EKJZya5XwTwSEBVYmaoJF3CUEmSJEmSdHD6xQm1jtT04iT3i8RjQ79znUPNk9xbuqsMlSRJkiRJByf3CygFmvdMcr+IoPJop9IciqGSdBFDJUmSJEnSwcn9CbVk0v0PTHK/lCBI5FwAqDEHCmO/mOT+0l1kqCRJkiRJOjh5WFJrZTZRqBQBKRryaXNSjjmlBuPxq5PcX7qLDJUkSZIkSQenDgsKDSnNJrlfBKSUyGM9feGIXBPD8Scmub90FxkqSZIkSZIOTskryoSPtJEg0judSjUdUUiMy9cnW0O6awyVJEmSJEmHJy8fO63tplLEevvbaadSiSMqDXn52mRrSHeNoZIkSZIk6eBE6SkR090vrbe/lXL6mJxmVGaU4cFka0h3jaGSJEmSJOmgDKsl1HHSTqX1oO5EPQ2VIhI55tSxn2wN6a4xVJIkSZIkHZR+eUyphZKemeyeEZCaeKdTCch1Ri15sjWku8ZQSZIkSZJ0UPrlgppHajw32T0jgiYlqO9sqSsxhzJOtoZ01xgqSZIkSZIOyrA8hpJh9tKk940E0Lz958KcWu1Uks5jqCRJkiRJOiilX1BrJo5envS+EUE88phcYk5QKNluJekshkqSJEmSpIOS+yW1VubPfXjS+64Pk3ukUynmFIL++JOTriPdFYZKkiRJkqSDUsYFtSZSczTpfVOCRx+TaxxRSjAcf2LSdaS7wlBJkiRJknRY8pLySEfRVCKA+mioNKfQUBavTb6WdBcYKkmSJEmSDkrNKypx+YVXFAlqfSesqukelcS4eH3ytaS7wFBJkiRJknRYyuqx8Gcq60HdQa3rP9e07lTK/ZuTryXdBYZKkiRJkqSDMQ49UQZqbKFTKSBSIg/l9M+JHEfUvJp8LekuMFSSJEmSJB2M1ckJtRYq9ya/d0qQoiHn+vZrhTm1jJOvJd0FhkqSJEmSpIMxro4pJVPS/cnvHQEpNYz5nddynUHJ5/+Q9C5mqCRJkiRJOhjDcrEOeZr3TH7vSEGkhvxIY1KJObUaKklnMVSSJEmSJB2MsT+m1kzMP23ye0dAE4lS3nmtxJyomfroi5IAQyVJkiRJ0gHJwwpKoXn2g5PfOwWklCjlnZPlCnMq0J+8Nvl60qEzVJIkSZIkHYw6LCg1MTt6fvJ7R1qf/lbLOyfL1TSn1MR48onJ15MOnaGSJEmSJOlglHFJ2dKjbESQUjweKsU9ck2MJ69uZU3pkBkqSZIkSZIOR15S6/YeZVMK4J3tbzXmVBry4vWtrSkdKkMlSZIkSdLhKD11i4+yKcFjoVJzbx0q9W9ubU3pUBkqSZIkSZIOQskjUbcbKkUEEemRPycyc+q42Nqa0qEyVJIkSZIkHYR+cUIthRrzra0RCXhie11mRsnj1taUDpWhkiRJkiTpIPTLE2rJlLi/tTUigNo89lqJOZS8tTWlQ2WoJEmSJEk6CMPymFpGSvPC1tZIAU8+Kmdm1GqnkvQkQyVJkiRJ0kEY+wW1Zpqjl7e2RqQAErW+81rhiKhla2tKh8pQSZIkSZJ0EHJ/AqWQnvnQ1taIgCAo5Z0QqaY5lUq/eGNr60qHyFBJkiRJknQQyrCk1GD+zEtbWyMCIjWMj+x2K8wpJTE8eGVr60qHyFBJkiRJknQQ6rik0Fx+4Q2kBCk15PGd/W81HVFI5MWrW11bOjSGSpIkSZKkg1Dzilq3+xgbEaRoKGeESuPJa1tdWzo0hkqSJEmSpMNQVtQtP8ZGgiY1jOWddWocUWnIK2cqSY8yVJIkSZIk3XolZ6L0VGKr60RARILyzjqRZmTm1PFkq2tLh8ZQSZIkSZJ06/XLBbVmamx5plJAaoKSHw+vMjNqGc/5KendyVBJkiRJknTrDcsTas7UeHar60QKUiTKE7ObCnNqNlSSHmWoJEmSJEm69YbVCbVkanph62ulJognQ6WYQ81bX1s6JIZKkiRJkqRbb1yerEOd+Xu3vlYEVB7fZleYUQ2VpMcYKkmSJEmSbr1xWFBLJt3/4NbXSikInuxUOgIqY++wbukhQyVJkiRJ0q1XhgWVYHbv/VtfKwJ4olOpxpxag/6tV7a+vnQoDJUkSZIkSbdeHZeUmkhpu6e/AUQCzpiplGtDXry69fWlQ2GoJEmSJEm6/fKSWnfzCLvuVHp8rZruUUgMhkrS2wyVJEmSJEm3Xs0ryo4eYSPi6QArHVFpKMs3dlKDdAgMlSRJkiRJt16UnrqjR9iUICKRc3nkxTmFGaU/3kkN0iGY7WKRtm0/E/hW4ENAAb6p67pveOKaAL4B+GLgBPhNXdf9/V3UJ0mSJEm6vVbLE6gjEbvb/paiYRwrzSMjnDJzaul3UoN0CHbVqTQCv6frus8HvhD4qrZtf8YT1/wK4Kee/u8rgT++o9okSZIkSbfYsDim5EKJZ3ayXiRIKVFyPPZ6iRm1jDupQToEOwmVuq77+MOuo67r3gL+CfDpT1z2a4Bv7bqudl33/cBLbdv+pF3UJ0mSJEm6vYblglpHSnpxJ+tFBJFm5Fwfez0zg5p3UoO0L2O/2Pjanc9Uatv2s4GfA/zdJ7716cDHHvnzj/J08CRJkiRJ5zo6/kGOHvyTfZehiY39CZQCzUs7WS/FulMpj4+HSoUjQyXdeQ9+/B9sfO1OZio91Lbt88BfBn5313VvPvHtOONH6pMvtG37lay3x9F1HS+//PLkdUpTmc1mvkd1q/ke1W3ne1SHwPfpLVN/CI5/DF7+Rfuu5Na4C+/RNz4GxxTuv/RZPPvcc1tfbxwLz7ye6bnPc88dvfON+hxpqLz04vPMjnazFe/d4C68R++S1Y83l190amehUtu2c9aB0p/vuu7bz7jkR4HPfOTPnwH82JMXdV33TcA3nf6xvvrqq1OXKk3m5ZdfxveobjPfo7rtfI/qEPg+vV3uv/kp5icf503/Tt52F96jD958jZILOb3A8fH2T18rpTKOmeUwcHw8vP1601fGAh//kR/k/kturJnKXXiP3iXHb7228bW7Ov0tgD8F/JOu677+nMv+GvDVbdv+N8DPB97ouu7ju6hPkiRJ0h1QC5SRyMdQBkjzfVekidRhQaUh7ejvNAJSE5RV8OgGmhpH5JoYH/w4GCrprsrLjS/dVafSvwF8KfB/tW37f56+9h8BnwXQdd2fAL4T+GLg/wVOgC/fUW2SJEmS7oCoA1AIKpFPqOk9+y5JEyl5RSax+aacm4kImpSgNqwPM1+r6YhCYly+vqNKpD3Iq40v3Umo1HXd93H2zKRHr6nAV+2iHkmSJEl3T5SeqOsAIOUH5Lmh0p2RV1B3e85UJHjybKsSR1Qa8nLz7UHSISl5gDJefuGpa30q27a937bt0eVXSpIkSdJuRFkRZaSyDpV0d0RZUWLHoVIEPNkblWZUZtRh+3OdpH0Y+xNqnThUatv2v2jb9gtOv/6VwGvAT7Rt+6uvVaUkSZIkTSzqQNQemJHGJw+b1qEa+hXUkbh488vkIkE88cgckcgxp479TmuRdiX3J9Q8XH7hqU2j3i8B/uHp118L/Ebg3wG+7krVSZIkSdK2lB5KT00zUraT5K7oFw8otZDjmZ2umwKe6lQCcp1RrrA9SDokZVysDzrY0KYzlZ7tuu6kbdv3A5/bdd1fBmjb9idfo0ZJkiRJmlyqKyAg5qSy2Hc5mki/XFDzSIn37XTdCM6c41RifqWZM9Ihyf0J9Qrv701DpR9q2/ZLgM8D/gZA27YvA/6mliRJknQ7lAEIasyIsvnpRbrd8vIESiZmL+103UhQzwqVmFFr3mkt0q7UcQl1+k6l3wl8A9ADX3H62i8HvutK1UmSJEnSlqznKUGNxlDpDlkPDi7E0ft3um5EEBHUetq1dKrEEUGh5JHU7ORAdWlnynBCLZvPL9v0E/Cxruv+9Udf6Lruz7dt+zevUpwkSZIkbUuUnhoQNER2U8VdkfsltRbmz314p+umdDqYeyjMjt7pWCoxp9SgP36VZ1780E5rkratlhVl4/Hbmw/q/qFzXv/HG68kSZIkSdtSK1F6okJlRtQB3KJ0J9S8oNZEau7tdN0ISGnGMNbH64k5pQT5+JM7rUfaiXFFvcJJi5uGSk/dsW3bF4Gy8UqSJEmStC11AMr6ySUaoBL5ZM9FaQp1vFrnxFQiIEWiPPHUW+OIQsO4+NTOa5K2rqyosfnn7cLtb23bfgyowP22bX/kiW+/H/iLVy5QkiRJkia27lLKVBpqrI+BT/mYPHthz5XppmpeUvcRKqUgpYb8xMzimu5RSIyL13Zek7RNtWQoPbVON1PpN7LO+r8T+NJH1wJe6bruB69cpSRJkiRNLGpP1HHdXhINVIjxAex2x5S2oayotdn5sum0U2l84gG7pjmVhty/ufOapG0a+xNqyRTmG//MhaFS13X/C0Dbti93XWfvqCRJkqRbKUoPZaDEEcSMGkGT32Dcd2G6kXHoiTJQL790cuuZSokyxhOvJ3IcUbMnDOpuyf0JlJH+Cmn8pqe/jW3bfiXwrwDPP/qNruu+bPMSJUmSJGl6606lFaRngQTRkPKDfZelG+qXC2ot1Nh9y1kkiJSoJcETsVZhTi2GSrpb8nBCLQN9fW7jn9k0VPpW4GcB/y3wyjVqkyRJkqStidJDrZBOH3FiRsqL/RalGxsWD6glU9N7dr52RJBSnIZKj58kmOtsPX9GukPKuKSWgSGev/ziU5uGSr8c+Jyu637iWpVJkiRJ0hZF7Xn00OoazTpo0kEblov1jJdm96ESQNME60PTHw+QSsyhGirpbinDAvLAeIXP26Yj9H8ER9xJkiRJuqWi9OshOG+/0BBlub+CNIncL6g1E0fv28v667fU00PCC7P1aYOl7LwmaVvquFhv9Gye2fhnrrL97Tvatv0Gntj+1nXdd2+8miRJkiRtwZNdSZWGVD1r6NCNwwJKYXb/w3tZPyKIM3oxShxRgf7kNe49//LuC5O2oIxLKnH5hY/YNFT66tP/ft0Tr1fgc6+0oiRJkiRNbL397Z1hyjVmUEaoZT1xWQepDgtKTcyONp/xMqX1W+fpTqWa5pScGE8+aaikuyMvqRtvaFvbKFTquu5zrlWQJEmSJG1bGdbhEU9sfyMTZUFtNj/JSLdLzUsK6YqPudOJAOrTq9c4ItfEuHh190VJ25JXlHq1TiUje0mSJEkHLWpP1PGxf2Gvse4uifF4X2VpAjWvqGeEOruSAs56bK5xRKVhPHlt5zVJ21BLgdJvp1OpbdsXgf8U+DeBl3nknwC6rvusK60oSZIkSROK0hM1P77NLWZQKyk/oPCB/RWnm8mrKz/kTilSUGui1sfnwNMcUWgo/Zt7q02aUh7WQ/HLGds9L7Lpp/OPAT8X+AjwPuB3sT4R7r+80mqSJEmSNLGoPZSB+si/mddoqJFI41t7rEw3UfJ4Oitrj6FSQEqJkusT32gozKnjYj+FSRMb+xMoAwObn/wGm386fxnwa7uu+w4gn/733wW+9GplSpIkSdK01p1KPTXde+TVBkikbCfJoeoXJ9RSKBufLzW9SBDRMD4ZKgGZGSWPe6hKml4eTqhlpOfe5Rc/YtNQKQFvnH79oG3bl4CPA593pdUkSZIkaWJReqh5veXt7RcD0oyU7SQ5VP3yhFoyNT27txpSQJMa8vB0qFRiDiXvoSppenVcQB7IXO2kxU0j3x9gPU/pbwLfC/xR4AHwQ1daTZIkSZImFrVfh0jx+KlFNRqirvZUlW5qWB5Ty0hpXthbDRFBROKshqTMDKqdSrob8rCkloH+ip+3TTuVfivwz0+//hpgAbwEfNmVVpMkSZKkiUUZ4MxjsBtSMVQ6VGO/Hhycjt6/txoinXYqlaffXzXmUMseqpKmV8cF1EJtnrvSz13aqdS2bQP8JuAPAXRd90ngt1yjRkmSJEmaXNTVU11KADVmRFnuoSJNIfdLKIV45oN7qyECIiXIT7+/ShxRa6VfvMnR/Rf3UJ00nTouKSTgrID+fJd2KnVdl4GvAobrlSZJkiRJ2xOlB56eeUM0p/OWzviebr0ynFBqcPTM+/ZWQ0qQUpDPCpWYU0piePDKHiqTplXzw1Dpajb9iY8Cv/3Kd5ckSZKkbarjekj3GblRjYaggN1KB2ndOdHstYaIIKVErU8/Otd0RCGRl5/aQ2XSxPLqnG3EF9t0UPcXAL+rbdvfB3yMR35ld133RVdeVZIkSZImEKUnaqbGGQ/9MQMqKZ9Qmvu7L043UvPqzDBn11IKoibgiflJp6HSeGKopDsgryhn/B69zKah0jef/k+SJEmSbo319ra8nqj81Dcb1qHSAwr7G/asayor6jW240wtAioz4PGT3kocUWnIqzf2U5g0kYdD8blGiLtRqNR13UevfGdJkiRJ2rKoPVGH04f+x1UaIJHGt3ZfmG6k5EyUnnrFocHbkFIQZ9QRaUZmTh2O91CVNJ3cn0AZGDi68s9uFCq1bfubz/nWCvhR4Pu7rvOsTkmSJEk7FWUgSk856xjsaKgkUjZUOjRjv1p3TsR+ZyrBw4MFz64jM6MWH4V12PJwQi0jq3rG79FLbLr97cuAXwC8wjpE+gzgg8DfAz4boG3bX9N13d+7cgWSJEmSdE1RV+th3XHGv7BHgmhI2U6SQ7M6eUDNmRLP77uU9c7Kc7YFFebUcrLbgqSJ5eEESs8Qn3bln900VPpHwLd3XfdfP3yhbduvBn468AuBPwD8EdbBkyRJkiTtRJQeiIftJE+p0RCe/nZwhtUJtWZKvLDvUi7sVCoxhzKe+T3pUNRxSc0jY7r6523TKUz/PvCNT7z2x4Ev6bquAv858DOuvLokSZIk3UDUAS6auxMzwu1JB2dcnkDJxNH79l0KKeLcU+gKs/U2PemAlWFJrZncbC9UegX41U+89iuBT5x+/QwwXHl1SZIkSbqBywKjGg1R+x1Vo6mMw4JaMun+B/ddynoXZQQ5l6e+V+IIqIy9W+B0uGpeUEnEWadoXmLT7W9fA/yltm3/IfAx4DOBnwn8+tPv/3zW298kSZIkaWei9Bc2KhEzIj/YWT2aRh0WVILZvffvuxQiIEXDOFaaJ3bB1ZhTSzA8+ASz9332XuqTbqqOS+rGPUeP2yhU6rruu9q2/SnArwA+DHwn8Ne7rvvUw+8D33WtCiRJkiTpOmpeD+m+6JJoiJohr6C5t6PCdFNlXFJqIqVbcPpbgpQaSn46vSwxJ9eG8eSTYKikA1XzinphOn++TTuV6LruVeDPXmsVSZIkSZpYlAFq4eKZSg1QSeWEYqh0OPKSQjpnPPZupQgiNeSxPvW9mu5RSIyLT+2hMmkaUbYQKrVt+z90Xfdvn379vcDTnyCg67ovutbKkiRJknQDUVcE44XbNiqnoVI+pszfu7vidCM1r84djr1rEZBSIp81jzsdUUnk5Rs7r0uaQh5X1DJSrvl5u6hT6Vsf+fpPXuvukiRJkrQlUXqijKfB0dlqzIAg5Td3V5huLEp/7RkvU4sEKRJDOaOeNKcwp/TO7dJhGvsTqCO5Hl3r588Nlbqu+wuPfP3Ra91dkiRJkrYk6kDUnpLuX3BRsz7VaHhrd4XpRvrVEup4rZOotuFhp1IZE2dt4MkxoxYPQ9dhyv0JNQ/0XPB79AIbz1Rq2/YXAT8HeP7R17uu+7prrSxJkiRJN7DuVBpg9uIFFyWIhsYT4A5Gf3JMyYUS13vIndo6VIr1+K4zFObUstxtUdJEynACZaTn2Wv9/EahUtu2fwRoge8FFo9868w5S5IkSZK0bVFW6y8uOyEsZkRdbb8gTWJYHlNrpqQX9l0KABFB0ySoDfD0aYOZ2aWnEEq3VRmX1Dwwpucvv/gMm3YqfQnwM7uu+7FrrSJJkiRJE4s6UDfYIlWjIbKh0qEY+xMoGZqX9l3K2yIAzg6VCkdQz5riLd1+ZVgAI3n2nmv9/KabVD8G+FtYkiRJ0q0Rpd9o70SNhqj99gvSJPLqhFoz6ZkP7LuUt0UEnHPkeo051EIZfY/p8NRxSakBcUnH5zk27VT6CuCb27b9i8Arj36j67rvudbKkiRJknQDUVcQG6RKMSPyyfYL0iTysKSWyuzZWxQqJYhzThksMafUYPXgk9x/6dN3XJl0MzUvb3TS4qah0s8DfgXwRTw9U+mzrr26JEmSJF1HLVBGqGd3jzx2aTREHdfXp43PKtKelHFJpSGl+b5LeVt6e/vb02ockXNiPP4EGCrp0OQV9ZwuvE1s+hv164Bf3XXd/3TtlSRJkiRpIlEHoHDelqTHNUAl8jE1XW9uiHbn4Xac6/dOTC8SUM+uqKYjColx8andFiVNoOYV9Zz39iY2/cljwG1ukiRJkm6FKD1Rxw0Hda//LT3l422XpSnkFeWcrqB9iYhzH7xLzKk0jMvXd1yVdDMlD0TZ7MCD82zaqfS1wH/Vtu1HgE88+o2u68q1V5ckSZKka4iyIsrIJv9OXk8H0Kb8Fp7RdftF7W/0kLsNERCRyLnQNE/UluZUZjAYWuqwjP0JtY6M9fpbTTcNlb7l9L+/7ZHXgvVMpdsVIUuSJEm686IORO3J6WiDixsqQRrf2n5hupGhX0EZiBvMeNmGlCCioWRonngCjkhkZtTRA9N1WHJ/Qs0DY33m2vfYNFT6nGuvIEmSJElTKz2UAWYvXH5tNBANKT/Yfl26kWFxQqmFEvf2XcpjIqBJiXGszM/IMTNzSjFU0mEp4wLKwIrrz5rbKFTquu6Hr72CJEmSJE0sar/+Im24cSJmpLK4/Drt1Wp5TM0jJd6371IeEwGRGso5w19KzKll3G1R0g3lh9vf0ovXvsdGoVLbtu8Bvgb4OcDzj36v67pfdu3VJUmSJOkaovRXur5GQ9hJcuvl5QmUDLPbdUpfpCBFQx7O/n5hBtWJXTosdVxCGRjS89fecLrp9re/xHp20l8BjPclSZIk7dXbnUobqjEzVDoAY7+g1kLMX953KY9JASkFYz370bvEEUGhlkxs2j0n7VkZl9QSxNH1t5tuGip9IfD+ruvOyWUlSZIkaXei9NS4wr+tR0O4/e3WK8M6VJo//+F9l/KYSJAiUcazT6UrMafUYPXgkzzz4od2XJ10PTUvKBucoHmRTX/6+4DPv9FKkiRJkjSFWonSE/UKP0JDlNEtSrdcGRfUmkjN7RvUnVKilrODzBpzSgnyyas7rky6gXFFveFJi5t2Kv0m4Dvbtv27wCuPfqPruo/cqAJJkiRJuoo6AIUrPQvFDChEPqFucmKc9qKOKwrphr0T04sIUpOoNQFPB5M1jig0jAtDJR2OWlbUuNmnbdNQ6Q8Bnwn8c+DRseBX+LcBSZIkSbq5dZdSprL57Joa62tTPiYbKt1aNS8pNLcuVAJICdabfc4IldI9Colx8fquy5KupZa83kZ8zpywTW0aKv0G4Kd1XffxG60mSZIkSTcUtSfquN6TtPEPNVAhxgdwu3ZW6VFlBTd8yN2WiGB9ftXTo4ZrmlNpKKs3d16XdB1jf0ItmcL8RvfZNAD+/zjrkyNJkiRJOxalhzJQ42jjn6kxo0bQ5Le2WJluIg8DUccbz3jZlgiIcx6hIxI5jqh5ueOqpOvJwwLKSH/DlH3TTqU/C/y1tm3/CE/PVPruG1UgSZIkSVew7lTqKen+FX4qAYlkqHRrrZbrzonK5mHhLq1Hz5y/5TLXGaWsdlaPdBO5P6aWgb4+d6P7bBoqfdXpf7/uidcr8Lk3qkCSJEmSriBKD7VAusK2jQhIc1I+2V5hupHhYajUvGffpZwpAqjnb/YpMaMWTxfUYSjjkloGhrSDUKnrus+50SqSJEmSNJGoPVc7+m2tRrMOpHQrDYvj9YyXWxoqvTOo+2yFI6iGSjoMZVhAGRjTzT5vt3GoviRJkiSdK0p/tSHdb2uI4syb2yr3C2rNpPl7913KmSKCWhP1nDPQC7P1qYSl7LYw6RrquKDWCs1VthE/7cJOpbZtv5f1FrdzdV33RTeqQJIkSZKu4LrdRjUaUnH72221HhxcaJ799H2XcqYISJHIY2E2f7o/o8acCvQnb3Dv+dsZjEkPlXFJnaDP6LLtb3/yxitIkiRJ0oTW29+ursYMyriexxRu2rht8rik1MTs6Pl9l3KmlCClhpxhdsY4r5KOKGNiPHnFUEm3X95BqNR13UdvvIIkSZIkTaUM61DoOsfOR0NQiLKgNjcbTqstGBcU0q2d0bLuVGrI49mbeWockUnkxSeBn77b4qSryitKvc424sfd1s+rJEmSJD0lak/UkXrNQd1QCU+Au5VqXlEvOF1t3yKCaBryePb3axxRaRgXr++2MOmKailQ+kk6lW7vJ1aSJEmSnhClJ2q+3va1mEGtpPGt6QvTzeXVJA+52xIJmkjk8+ZwN0cUGvLqjZ3WJV1VHtZD8QvNje91ez+xkiRJkvSEqD2UgXrpeNin1WiokQyVbqGSx/Xf7bVO9duNCIiUKOd1U0VDYU4dF7stTLqisT+BMjBw78b3OjdUatv2+x/5+g/eeCVJkiRJuqF1p1JPTUfX+OkGSKT8YOqydEP94oRaCqWeMQH7llgP6g5qPj/4yswo5+2Pk26JMi6oZaTnmRvf66JOpZ/Wtu3DFX7PjVeSJEmSpBuK0kPNENcIHyIgzUj5ePrCdCP98oRaMjU9u+9SzhURpJSo5fzH6BJzKHmHVUlXV4YTyAOZm5+0eFHP6HcAP9S27T8H7rdt+z1nXdR13RfduApJkiRJ2sDbW6SuuU2qRkPU1cRV6aaG5Qm1jNT04r5LuVBKQZCAswcrFWZQ7VTS7ZaHJbUMDM0LN77XuaFS13Vf3rbtLwQ+G/jXgD9149UkSZIk6QaiDHCjY7AbUjFUum3G/oRaM/Xe+/ZdyoUioMYMODs4KjGHet4kb+l2qOOCWgtl9tyN73XhdLuu674P+L62Ewi7ngAAIABJREFUbY+6rvvodRdp2/ZbgF8FfKLrup95xvd/MevOqH92+tK3d133keuuJ0mSJOluirqCG2RKNWZEWU5XkCaR+yWUQvPMB/ZdyoVSCuK8Qd1AiSNqrfTLtzh65uZdINI21HF5etLizQfjb3RkQtd139K27S8BvhT4dOBfAH+u67rv3nCdPwN8I/CtF1zzvV3X/aoN7ydJkiTpXShKf8MbNOstdLXe6pPG3m3KsKDU4OiZ9++7lAut3zIXhErMKTUxvvWKoZJurZqXlAtHbG9uo7u0bftbgG8Dfhz4duDjwF9o2/a3bvLzXdd9D/DadYuUJEmSJOq4HtJdb3CLaIhawG6lW6Xmh50Tt1skoDbnfr+mo3WotHx1d0VJV5VXN9xG/I6NOpWA3wf80q7rfuDhC23bfhvwl4FvnqQS+AVt2/4A8GPAf9B13T+a6L6SJEmS7oD1PKVMjeuHDzUaoJLyCaW5P11xupE6Lim14fy45na4rFOJdEQhMZ58alclSVeXV5N1Km0aKr0f+MdPvPaDwFRT1P4+8JO7rnvQtu0XA38V+KlnXdi27VcCXwnQdR0vv/zyRCVI05vNZr5Hdav5HtVt53tUh8D36Q6tXoP+HozPwr1rDpgdE5RP8r4X5vDCu+Pv7RDeox9PhVVqeO65mw8O3qaSB2az+bl11nKPGI9o6vLW/39+mxzCe/SuGFYnvDVv6GdHk3zeNg2Vvg/4+rZtf3/XdSdt2z4H/GfA37lxBUDXdW8+8vV3tm37x9q2fbnruqd6Bruu+ybgm07/WF991bZC3V4vv/wyvkd1m/ke1W3ne1SHwPfp7jT9J3jm+A1qhToeX+8mZeBoGFi8+iP0q9t9fP1Ubvt7tOTM2B9TChwfX/PvdUdWq8I4Ft588y2a5uxOj3lOrI5fv9X/n982t/09epesHnyKfnnCckyTfN427Xf67cDPAt5o2/YV4CeAnw38thtXALRt+6G2beP06y84rct+QUmSJElvizIQpaem+Q1u0lBpSPmt6QrTjYz9iloz9dZvfltvf0upYRzPvyYzo5Zhd0VJV1DGBbUM9PWZSe636elvHwf+zbZtPwP4MPBjXdf96KaLtG37F4FfDLzctu2PAn8QmJ/e+08Avw74HW3bjsAC+A1d191g/J4kSZKkuyZqT9QR4ugGN0kQDSnf7o6Yd5PVyQNqzpT0/L5LuVQkSNFQ8vnXFObUcrK7oqQryMMCSk/Pp01yv023vwFwGiRtHCY98nP/3iXf/0bgG696X0mSJEnvHlFWVOLhtORrq9EQnv52awyrE2rNlHhh36VcKkWQUkMez++BKDGHckErk7RHZTih5pGxmebzdvvPbJQkSZIkIOoATHAMdsyIsrr5fTSJcXUCJRNH7913KZeKgEiJfGGn0gzqBRdIe1SGJbVmsqGSJEmSpHeTqYKgGg1R+0nupZsb+wW1ZNK9D+67lEtFgiYSpZz/KF3iiEpl7N0Cp9un5iWVRMQ0cdCl29/atk2s5yF9X9d1/uaVJEmStBdR+kkalYiGyD7a3BZ1WFAJZvdv/5HyDzuVypiAs7fA1ZhTSzAcf4LZ0WfvtD7pMnVcUCfsL7r0Tl3XFeA7DJQkSZIk7U3Nk20pqjEjaobsFrjboIwrSk2kdCinvwW1nH9NiTm5NozHn9xdYdKGaj6dTTeRTeOp72nb9gsnW1WSJEmSriDKcBoqTTFTqQEqyRO6boWal5QDmcwSETRNIur5AVhN9ygE4+K1HVYmbebtAw8msunpbz8M/Pdt234H8DEe6fPruu5rJ6tGkiRJks4QtSfIk2zbqJyGSvmYMr/9w6HvvLyk1sMIlWDdrVSjAc454S0dUWnIy5/YaV3SZfLYU8tIrbsPle4Df/X068+YbHVJkiRJ2kCUnijDaSB0M+tAIEj5rZsXphuL0k8642XbIgVx0UN5mlOYU4bj3RUlbWDsj6GOjNyb7J4bhUpd1335ZCtKkiRJ0hVF7YnaU9L9CW42W59+NL5583vpRvrVEuo0HWi7kgK4JNzMMaM6DF63TO5PqHlgqBP8Hj21aacSbdt+PvDrgA92XffVbdv+S8C9ruv+wWTVSJIkSdIZHnYqMXtxgpsliIZmfHDze+lG+pNjSskwRVi4I7FBqFSYU8tyJ/VImyrjAspIz7OT3XOjOLht218PfA/w6cCXnb78AvD1k1UiSZIkSeeIctr1MdUJYTEjqqe/7duwPKaWTEkv7LuUjUUCLpkBlZlBPWfmkrQnZVisO5Xi+cnuuWmP4UeAX9p13W8HHp7j+QPAz56sEkmSJEk6R9T+9Gl+GjUaIhsq7dvYn0DJ0Ly071I2FhGXDhavzE9PK5RujzIsgJE8f89k99z0t/IHWIdI8M7Jb/WRryVJkiRpa6L01AmfPmo066BKezX2C2rNpHuftu9SNhYBEYmcy7nXlDiCWiij7zHdHnVcUmpATNTxyeah0v8BfOkTr/0G4H+brBJJkiRJOkfUFcSEqVLMiGKn0r6VfkGtlebZD+67lI2lBBEN5YJGpBJzCsHqwau7K0y6RM3LyYfibzqo+2uA72rb9iuA59q2/R+Bnwb8skmrkSRJkqQn1QJlhIuOcb/qLWmIOq7vmzY+v0gTK+OSUhNNM993KRuLgCYlxrEyPzr7mhpHlJwYTz4BL314twVK58krKtP9HoUNO5W6rvu/gZ8O/FHgPwb+NPAvd133/0xajSRJkiQ9IeoAnL/V6Ho3bYBK5ONp76srqXl56Xyi2yYSRGrIl3QqZRJ5YaeSbo+aV5N/3ja+W9d1J8DfBv4W8L1d13n+piRJkqSti9ITdaROOAekxgyoJEOl/corCtP9ve5CRJCioVxwuFtNR1QahsXruytMukDJI1GG/Wx/a9v2s4A/D3wh8Drw3rZt/y7wJV3X/fCkFUmSJEnSI6KuQyWm3LYRDRCk/Bae0bU/UXrqhKf67UIKSCkYL9qOmeZUGhgMLXU7jP0xtY7kmHa776af3o+yHtb9Utd1HwDeC/zvp69LkiRJ0vaUHspASecMsLmGGg2VII1uwNiXoV9BGYiJZ7xsWyRIkaj5/MfpiERmThkdBq/bIfcn1Dwy1PuT3nfTUOnnAb+367pjgNOtb7//9HVJkiRJ2pooPVF6iHsT3rSBaEj5renuqSsZFieUWihM+Pe6AxGQmkQpF4dhmTn1oj1y0g6VcQFlYFWfmfS+m4ZK3w98wROv/avA/zppNZIkSZL0hKj9+os08eydmJHKYtp7amP9ct05UdJz+y7lSiKClNKlA49LGCrp9ijDgloHcnph0vueu5mubduPPPLHfwp8Z9u2fx34GPCZwBcDf2HSaiRJkiTpCVH6rdy3RrO1e+ty4+oESoHZS/su5cpSgnWPxvkTuQozojqxS7dDGdadSn16YdINpxdNaPrMJ/787af//QCwAv4KMG3flCRJkiQ9IWq/3nM0sRozojjzZl/G1Qm1ZmL+8r5LubKIIGiA4dxrSsyBQi2ZmLrLTrqiMi6pNYjZtNtNzw2Vuq778klXkiRJkqRriNJTt3LjhnD7296UYQG1MHv+J+27lCuL4NKj2UscUWvQH7/KvRc+uKPKpLPVvKRcsmXzOjY+S65t22eBzwOef/T1ruv+ztRFSZIkSRIAta4HdW8hVao0RBmhlvWRXtqpMi7INdE0h7cBJhKnnUrnqzEn52A8/qShkvaujkvqFjo+NwqV2rb9MuAbgR54NMqvwGdNXpUkSZIkAdQBKGzl1PlogErkY+ps2uG1ulwdV1TSVv5qty0FcEnXR40jCg3D4tXdFCVdpKwu7a67jk07lf4w8Gu7rvsbk1cgSZIkSedYdyll6iVdIddRYwZUUj4mGyrtXM0rCs0WHnO3LxKXvidLzCkk8vL1HVUlna2WvN5GXKePcDf9/PbA35p8dUmSJEm6QNSeqONWBnUTzXp73fhg+nvrUlFWsIWH3F2ICKhBvWhbZnOPSkNZvrmzuqSzjP0JtWTK5hOQNrZpqPSfAF/ftu3hjeWXJEmSdLCi9FAGahxNfu8aDTUSTX5r8nvrYnkYoA7Ug9z8ts44UyTyWC64Jq2HdeflDiuTnpaHBbWMDEw/v2zTmOqHgI8Av7Nt24evBVC7rvNsREmSJElbse5U6inp/hbu3gCJZKi0c6vlunOiMn1YuAspQUoNeazM5udfN9YZpax2V5h0htwfQxlY1Wcnv/emodKfBb4V+DYeH9QtSZIkSVsTpV+fzpYueHK/9s0D0oyUT6a/ty40nIZKpXlx36Vcy7pTqWHMcO+C60rMqCXvrC7pLGVcUsvAmJ6f/N6bhkrvB76267otHOQpSZIkSWeL2rOdo9/WaszWwZV2alwerzuV0nv2Xcq1RAqiacjjxdcVjqAaKmm/yrCAMjBu4fO26UylPw186eSrS5IkSdIFovTbGdL9tmY9MFo7Na6W1JpJR+/bdynXEgFNJMr5I5UAKMyIWqiXXShtUR0X1FqpzfTbiDftVPoC4Kvbtv0DwCuPfqPrui+avCpJkiRJgq13EdVoiOKEj13LwwmUQrr/4X2Xci0pIFKijBePGK4xp1IZFm9w9Nx7d1Sd9LgyLikb9xRdzaah0jef/k+SJEmSdma9/W17asxIZVjPbYrtPHTpaXlcUmpifu+FfZdyLZEgpaBe1qmUjihjYjh+xVBJ+5NXbL5R7Wo2CpW6rvvoVlaXJEmSpPM8DHu2Odk1GoJClAW1eW6LC+kx44JC2tJj7vZFBCklaknA+clSjSMyibx4dXfFSU8qK8qWZtNtFCq1bfubz/te13XfMl05kiRJkrQWtSfqSE3bix5qNEAl8omh0g7VvKLWQ42U1lIKgktCpXREpWFcvL67wqRH1FJgi5+3Tbe/PTmk+0PATwH+NmCoJEmSJGlyUXqiZrZ5+hsxg1pJ4zHl6NO2t44eE3lFPdg+pbWUoDIDLjgC7jRUyqs3dlaX9Kg8rqg1U7h4/td1bbr97Zc8+dpp99LnT16RJEmSJHE6T6kOVOZbW6NGQ41EGn3o35WSM9Rtn+q3fREPO5UuuqghM6eOJ7spSnrCuHoAZWTk3lbuf5No+M8AXzFRHZIkSZL0mCg9UXpqOtriKg2QSPnBFtfQo/rlgloKtW4vLNyFdSZ2+SN1iRklX9DNJG1RGRfUMtDXZ7Zy/01nKj35SXkW+I3AT0xekSRJkiQBUQaoGWKL4UMEpBkpH29vDT2mXzyglkxJz++7lBuJBNTLtxRl5tRiaKn9yMMC8sC4pc/bpjOVRp4+c+FfAL912nIkSZIkaS3qah36bHmbVKVZr6WdGJYn1DJSDz1U2rRTiRlR7VTSfpRh3ak0pBe2cv9NQ6XPeeLPx13XeSaiJEmSpK1ZdyrtYO5ONETpt7+OAMj9kloz9ej9+y7lRlIE1EStF+eeJeZQzz8hTtqmOi6otZCbZ7dy5MGmg7p/eAtrS5IkSdK5ovZbPfjtoRozoi63v5AAyP0JlELzzAf3XcqNRFoP6y6l0DTndyyVOKLWSr98i6NnttMtIp2njksqiYjtnLZ4YajUtu3/zNPb3h5Vu677t6YtSZIkSZIgyo62pEVD5J5LW040iTwsKDU4un/YnUoREKlhHKG5YLRSYU6pwfjgFUMl7VzNS2rdTqAEl3cq/blzXv904GtYD+yWJEmSpGnVfPq/HSwVDVELlBU02zkhSe+o+bRzYt+F3FAkSKkhj5WLTmuv6YiSG8bFp4DP21l9EkDNK+oWP20Xhkpd1/2pR//ctu37gf+Q9YDubwM+srXKJEmSJL1rRemhZuoOOodqNEAl5WOKodLW1XFJqYnLz0273VIEKRpKvuzCIwqJ8cSxxNq9KD1lg4Hy17XRTKW2bV8Efi/w1cB/B/zcruv+6daqkiRJkvSuFrUnamaT07VubsbboRKHvSXrIJQVdUvzXXYpYt2pNOSLg88SR1QayurNHVUmrY3Dcn3S4r46ldq2vQ/8buD3AH8L+IVd1/2jrVUjSZIkSaznKUUdqLHpgdXXt+5UClJ+a+tr6WEX2h0IldK6W6mWix/YI83IzCnD8Y4qk9bKsIAyMl60P/OGLvsN/c+ABvjDwN8DPti27WMj+ruu++4t1SZJkiTpXSrKsN62kXYwxjUaKg1ptJNk2/rFyXpb48FvfjvtVGoSZbi8C6Qwo+5q8Lx0KvfH1DLQ1+39Hr0sVFqyHo33O875fgU+d9KKJEmSJL3rrbe/jZC29y/s7yyWIBpStpNk25aLY0rOlPT8vku5sYjTTqUaXDZRPjOnlpPdFCadysMCysCwxTPWLhvU/dlbW1mSJEmSzhHl9MSiHQzqhtMT4MpyJ2u9m43LY2rN1Hhh36XcWESQmkTUBhgvvLbEnHrpRG9pWmVYUPPA0Ly4tTUOfyOrJEmSpDsn6rDjBWeE25O2blydQMkwf8++S5lExMOZXBcrzNadd9IOlWFBrZncbC/ENVSSJEmSdOtE6WGLJxY9qUaz+yDrXSj3S2opNM98aN+lTCJSEBs8Vq9PgCuM/WIHVUlrNS+pJGKLpy0aKkmSJEm6daL0u8yUIBo7lXagDAsqleb+p+27lEmkAMrlnUo15lQSw/Entl+UdKqOC+qWT1o0VJIkSZJ0u9QMO94qtO5UylD6na77blPGJaU2pHT4p7/B6civDbpASszJJTEef3L7RUmnaj6dTbdFhkqSJEmSbpWowzpY2mmr0gyongC3ZTUvKXfoMTQSsEEnSE33KCTG5evbL0o6FaWnbvmwg7vzaZYkSZJ0J0TpCTJ1h48r62HLhkpbl1db346zSxGx2fs0HVFpyIvXtl+UBOSxp5bBTiVJkiRJ7y5ReqIMwO62SK1DpSDlt3a25rvRLjondiklCBI5l0sunFOYUwZDS+1GHk6gjoz13lbXMVSSJEmSdKtE7Yk6UNLRDhedrU9JGh/sbs13mX61XM/KqndjnhKsZyqlaMj58mtzzKjZmV3ajXF1TM0DvaGSJEmSpHeTtzuVYr7DRRNEQzPaqbQt/ckxpWRqembfpUwmAlJK5LFeem2pM2rZIH2SJlDGBZSRgee2uo6hkiRJkqRbJUoPVNj1CWExI+pyt2u+iwyrE2rJlPT8vkuZTCSItGmn0py641MN9e5VhgW1DAyx3c+boZIkSZKkWyVqv9Ex7VOr0RBuT9qacXUMJVOb9+67lMmkiPX2tw06lSpzotqppN0ow3q7aZ6/Z6vrGCpJkiRJulWi9NR6+UP61Go0RF3tfN13i7FfUGsm7r2871Im83D7WymXP1rnmEMtlNHgUttXxwWlBsR2Oz4NlSRJkiTdKutOpX0sPCOKodK2lH5JrZX5sx/adymTibTuVqobhEo15hSC/vjVHVSmd7ual9QdRD6GSpIkSZJuj1qgDNS6+1Sp0hB1hOLcm20o45JSE02zwwHsWxYBqdmsU6nGPUpJDMef2EFletfLq538HjVUkiRJ0v/P3r38SJJte17/rr3NzOOVGZmVdV7ce/te7qUHQKslWgIh9QSJSdMgMSuJCWomPek/gikSo5aQQK0WQkyQcsiAPwCJFkINI3Q5597zqnOqTp3MjKeHu732i4GFR2ZVZkb4w9zNH+sjncHJiHDbmeUWbrZs7d9SamtIckBEZIBWpfttIhKmmz/2AUihIqX9ugUVEawxMMfNe5SciCFUlxtYmTp0KTQk1j/sYL/OaKWUUkoppdRuiy2S/Ea2bfxQEgtETNSi0lqEhriBm9xN6zLln/57JVN0RaX6eu1rUoctBo8kR9rAPmItKimllFJKKaW2hkldUWmQUCXJAMH4yeaPfQAktuzjLaiIIPP8vUxOwhJbfX+p9fLtlBQ9QbK1H2v/zmillFJKKaXU7ootREc0xcYPncSSEIy/2/ix95133X/XNMS2xjXr/kpPdyqJGAIF0WsYvFqv6CpS8LTpeO3H0qKSUkoppZRSamtIbLuOFtl8UQmxIBYTtajUt6YsSSmSGA29lN4ZA/PeWgdykgbBqzULroTocGn955sWlZRSSimllFJbQ1ILJDDr37bx6QVkmFANc+w95uopMXiiOR16Kb0TAeYMII9kkMJ6F6QOXnQVKTm8eb72Y2lRSSmllFJKKbU1utyd4bZIJbH3a1B98k0JMRLt+dBL6Z0YSGm+APIoOWinklqz6CqIntacrf1YWlRSSimllFJKbQ1J7SykZqAFZEjUzJu++aYkpYApfjT0UnrXBXULKT39vVFyIJKidiup9Ym+JiUQe7T2Y2lRSSmllFJKKbU1JLbMcW++Ngl7vwVP9Sm6ClLEnvxk6KX0TgTEGIKPT35vJCchtOXVBlamDlUKNWlD5R4tKimllFJKKaW2Q0pIcsiAVaVu+5uD9HSBQM0v+pqQDHl+MvRSemcMGLEE//QbN5mCGAU/fbOBlalDlXxN3NA2Yi0qKaWUUkoppbZDcl2I8ZBT58UCCQnTARexf6JvNtY5sWkiYIzFz7GjLUlBwODKi/UvTB0siS1pzvD4Ve3nWa2UUkoppZTaOZJaJAUS84Uer0OSDEgYLSr1K9TEAf+7rpMYQYwlzJG/HSUnYQn19foXpg5SigFiQ9pQdX4jczq/+uqr/xH4z4C3r1+//nuf+LoA/xz4x0AJ/JPXr1//P5tYm1JKKaWUUmo7SHRI8gMHddtuG56fwmi4ZewbiQ2kIVvQ1kcErBjaeXZM2hEJS2zu1r4udZh8W5JiIG6m3LOxTqX/CfhHj3z9PwH+7v3//inw329gTUoppZRSSqktIrGB6EhSDLaGJJYkBhvGg61h3wTnuq2Ng+5rXB9zH9Qd49OdWCKGIAXJVxtYmTpEwVWk6HGsf/IbbKio9Pr16/8deCze/j8H/ufXr1+n169f/5/Ai6+++upnm1ibUkoppZRSajt0299akuQDrsICBhO0k6QvbV11nRMDFgvXSQwYY0hxvqKZTxkxzrFXTqklBFdBdDRpM+fbZvqhnvYnwO8/+P/f3P/Zd8MsR6n9IWGKxJaYvxx6KWrbRAd3vyKvht3TfzWueDeGv/y7//ag61BKqV3lXU119Rue/WT3f48+TF0zyxeVJqUjkXh2suQNlQiYDBO0k6QvdTWhcYE34RVuUg+2DvEtp9UtP/7Zn/X7uiIYI/dFpacnwEXJIM6R6n0gbPsOwtnQy9gb0ZWk6PDybCPH25ai0qdKup88G7/66qt/SrdFjtevX/Plq5f3ExqU2j5ZlvHll18Ou4ir30H5HfzsPx12HWr7TL7G3P41582w00e+/uaO8rbk7B/8+xyNNtOmq3bHVvweVeoJQ79P3/32XxPf/WvyL3/G+U/+rcHW0Yurb8Adw/Hp0i/xy2/f0tRT/oO//2+usJBTyAzHe/L7Z+j36Le/+w1NiPy6ecH4qhlsHcX4DdntO/7jH/+M0+fnvb729Limao44PX26W0nCGSZe6OcbQGzhj/83Zlzz5Zf/3tCr2QvhxtJKpHj+Uwq7/O/SeW1LUekb4MNy8Z8Cf/jUN75+/fpfAP/i/v+m6+/+llDoyai205dffsnFxbA37Me3fyCf/oK7/O+RNvBLRe2OYvp7nocbpvF80EDUv34DPy3G/F//x7/i3/n7f3+wdajttA2/R5V6ytDv05u3v8NP3/HmV/8KZ18Mto4+jO4uyJuGEJebvBZj4vp2ynT8jvHdj7Bmuc+3rPHQ3HC3J79/hn6PXr79PSlEXv74R3zxbLhb0LOfv+H/bWt++9vf8Rd/9Ze9vrZzntZFptOnO7Gsy3iG59uvf8Ho9FWv69g1xl1zNLnhpHrDRei3g+xQjW8uCN7TvRXXP8VyU0HdT/lfgf/yq6++kq+++uo/BG5fv34919Y3275Z78qU2mFd2GWLxBrb7sdFkepPNypZBi0oNW3iamqJSbh5+9vB1qGUUrsstbfEmHCTTz6T3SkS25V+vmo8MXqqVphMJku/ThILabW1qPdSc0sbc+TZsAWUF9UNOY6r6/63/osIMuftdbRn+JhRX/y893XsGhMmmFBCew3p6a2D6mnJ18QNlno2Uib+6quv/hfgPwK+/Oqrr74B/msgB3j9+vX/APxvwD8GfgmUwH8172tn7R9p+Xf7XrJSe2GWpwSGrP4D/vjPh16S2hYpIKEEO+wUlm9voXaGNmaQdMqOUkotKvgW/JSUErjdzwCSFQs5Ze0J3jGNp9yOp5w/XzJTROx9vlMa9OHLvrD+DheH3SSTNRW5b3iVhKoue3/97m0y3418yk4JLqe5+S38+T/sfS27xIQJEiqwEQkTUraZHKC9Fmo22T+0kTP79evX/8UTX0/AP1vmta27XWpNSh0C4+8woSSZEdZrp5J6z4Qpknw3rmRAf7yGEAOTcMKpGS64UymldlU7vSSFBpdy8tCSYkDMjuaNzkK6V2hWmNaOGAJkL7mZjPk7S75OkgwhQqzBHi+/IMXl5SWSHIEhJ/pBUY7xzvEj4Fe+/y40MUCa89wTS8MpR43ey5owARKkRNa+wWlRaXWxIX4ytno9tmX729Ik3HUfPkqpj3TbmzzRnmG8jsVV75kwQWIFZjToOi7vut/fdfElhXW0rW41UEqpRfjqiuRLJukVEahuvh16SUuT1CIpkMzytyhl7bGZIR8dMS6Xr04lsUC6v+FVq7i6fEcInjIbNu9rVI5JbcuPn2WEGKjLfruVzAKdSgBBjiEMF1q+FZJHQkWUEUhO1ujw916EBtLmSj27X1RKHvE3Qy9Dqa3UXQhZkikwsblvhVQKjJ8gsYZs2PD28TRirdAevQTgt7/65aDrUUqpXeOra6J3VPmfdhktV7ub0SLRISnw6cHQT0spUdYeEUue59zVkRiXLCzdT5c2fv0ht/uuvrsgxUj57C8GXceoHBPF8OPTggLP2zdve319MQKYuWOBvJyQUqCZHu69rPGT+855C9kRxvWfdXVofFuRUiQt3hKCAAAgAElEQVRssNSz80UlEmSNhnUr9ZHouqIBkGQERGz7btg1qa0xKzgOmRPR+kTVeDKb8McviRguvvvNYOtRSqldlJobIoaUneEZ4cffDL2kpUlqIbWkJbdJVU0ghEAyI4qioA0ZkyW7URKWhGC85v2tKta3tDFDzn8y6DpG5RiTF5wfZRwbx9XVVa+vLwKCEON8u2iCPcVHS3O5u4XgVc3ylJIZgTnCBN1ZsSrfTCA6PEcbO+bOF5WSyclbbZNT6odMmCDJkcSQTEFCyJvdnwqjepACEktWCq3owR9uIISIySyMnhFMAe3hPq1TSqlFxeDATwgpQ8Tg5ITo+g8g3hSJDRJbkimW+vlp7Yi+xdln5HlOE3PG4yW3r0kGGEzUm9xVGT8ePKTbugbT1lgrFJnhiywyrfrtQhMBMRbv5/v+aM8I5LQ3v+11Hbuki2NoSeYI7AgTG0S7A1cSfUWKjjZpUWluyYwwuv1NqY+Y0IV0RzkGMSRzhHUa1q3opr5FRxr4I+C7+6JSPPkCYy0lZ2SimUpKKTWvtrwmxZYgXT6e4wRCS5qzU2LbdNPWAshynUpl7QkxYPLnZFmGZMdcj5fc+i8CJsP43S3SbYPrq2tMaje6FedTRtNbvHN8UXQd2i/zRNNzWLcxYIwl+Pke2onJcHJKqA93y5cJk263qwjYI7qdFf1uSzw0wVUQHM5sLuJiT4pKEw3rVuoHTJhCcnD/tC+ZkbaUKqD7ADexJplhp7BcjROkSPHjnwFQyXNGxuG9G3RdSim1K1x5SXIVd6nLpfPmhESiHu9mF7+k9r7dY7mt2dPKY41BbHftUxQjxtUKYd1YJGke5Squrt6Rgqcy54OuoyjvSG3Ly7Pu2ue8EHwKNHXV2zFEBCOWOGdRCcBxTDrUzNMUuq1vsww1U5Ak07DuFUXXdSo52dwUvd0vKsnoPqxb9zsr9aGu2GoeLsySKTCh0ikT6r7VuCaZk0HXcVsGbGbIjrt1NPk5kPj6t78ddF1KKbUrQnVFDDVN1hXnkz3D7XBGi8QW0ioh3Q5j3490z/OcuyqR5k1O/mhBtluTWlo5viDGSPXszwZdx6i8JRrL2VHX1XdeGPLkuXjbXxe/3Hcq+Tj/LbY3p5ACrj68KYOzqI6HkoQYkhlh/eWg69p1yVeQItFqp9LcoimARKZtckq9Fx0Sq+9dlz2EdesWuIPXhXRLd/UzkBASZRXIzPsLfX/0koTl7e91ApxSSs0jNrfEZOG+8zTaEwIj3Pj3A69sOV2n0nI/W7eBEAOR93lMeZ7TBMO0XK4TJIlFkj6MW0Wsb2ijJb3800HXMSrvMPZ9rtP5seXYOC4v+ytgiIARA3H+N3Ewp/hoqN7tZiF4FSZMkVB/L0MtyQjjdWfFKqKviRhkg9f5O19UQnJtk1PqB0yY3lf+3z+tm4V167ly4FLstkYOHNL93a0QZyHdM8fP8ZKTmsPNFlBKqXmlGMDdEdL736MihpYTgtvNrgeJyxdwprUneoe3Zw9/VhQFTcy5HS95kyqZdiqtyPgxbRx2u71xLbYpsfb9re9RZnlpI3dlf6HQRsBYIYb5i0rJnuLJaW9/3ds6doXxd0hqvtc5n8wIE2sk9Lct8eCEZuO5qXtQVJIugNjrTYhSM7PxnNGM3v+hWDAjMvduuIWpwUksIXrSBwXHIfzhOuFDIJ68ePgzYy0VZ1j0Al4ppZ7STK++F9I942VHw7pTuP/fcj9e1g7vPeTvs3ustWCPublbpVMpwqFm3qzodjzGpIY4dEh3OcY7z/kPhgq+LBKt768TTYxgxBDTAn9fk+M4IVaHt+Xrfef8+yJcut+FZFq9X1lWCjVpyW3Ey9r9ohL3WTF+Asvul1Zqz3SZOQ7M90dJRjPCaP7YQTP+PqRbhh3te3nXZVzkX/7se39emWeMjCPMO49XKaUOlK8uSa5kml58/8/NCSlFmsluRUN0eUqBtEpItxVM9r7IJiIUxYjbcrkCWxILJEzUCXDLuHr3hhQCtTl7+pvXaFSOwTW8Ov1+Vek8Bxc9zvU3IMRYQRYpKtFNbYw9Frd2QgrdNOIf/rEUJAx584cBFrUfJLYbL+TuR1FJRkhqEZ1spRQwG8/58fSUJKOunTRoJ8ihMmHa5W0NHNJ9Mw1kFvKz719oNtk5RiLffPPtQCtTSqnd4KtrYmio7E+/9+fRnOJjRn35NwOtbDmSWiQFlr09KWuPtR8/MOnCuuOSYd0ZkLqH12ph0/EVMQbKk6HzlMZEDKdH3y8qvRgZbApc/LG/AqwIC3eDe3MCyeOaw3mfmVAiyX+8TUtMtwtJM2CX4l1Niv79RL0N2Y+ikoZ1K/Ve8vfjOT/xJVMgBKy/2viy1HYw4Q4QMMNtf5uFdFv78QeeP3pJxPLd178YYGVKKbU7YnNDjAbsD7qSszM8Oe72t8MsbEkSWyS5++6gxTRtwAf/yS7coihovKGsFu8E6dYi95+dalGhusZFQ/ji7wy6jqIcI1mGMd+/7jg/spyI4+Kyzwlwgix4ix3MKSEa6stf9baObfd+EnHx0de6XUh6zi0jugqix/Pxv+s67UdRSQqSWDJtk1PqkyHdM8mMSAhWz5XDlBImTAeO6Ia3dxB8JLMffwSlkxcEyYj14WULKKXUvFKM4O6InyjAiBicnBGa3bopk9gi0ZFk8Zuhae2I3uHk2Udfy/OcJo4YLxPWLZaERTQ6YCnG39KEAjHD3XIa78jqKcZ+fK4c5xkvssDdtN+w7k9dgz8m2q4Q3FwfTlFJHopKxx99rQvrrjTLbAm+LUnR0aaP/13XaS+KSg9h3e5m6JUoNTjju5DuT1X+EQsy0q6+AyWx7DrZNtwS+0PfXtGNfT5+/tHXjLVUcobVEc5KKfVZbXlNCg0hfXqqluMYdmxqmaQWwYEZPf3NPzCtPMF7pDj/6GtZlpHMiOtlwrrFgBjsJ7Jf1OPuJhNsaogbHGv+KUU1JvjA888MoHuZJ1rfX/FCDLBgppLYopvaWB7O9fn7kO5PPGCUbheSboFbXHQlRIdjszEX+1FUonvz6VMEpe7bSVPzyco/QLIjbNBz5RCZMMXEmjhwSPfFXSLGRPaDkO6ZSrqwbqWUUp/mqiuSrz8K6Z7xckJKgWa6O12fEttuYtESQd1l7buA5Ozoo6+JCMXoiHEZllpXkgxJ2jGxqMu3b4nB02z45vaHRtMxqW348uTT1z4vcmiiJ/h+rju6t+/it9hejknhQB6opYgJn+8Om+2syJrvNrio/RBdRQoObz9+cLtO+1NUMiNMahHfX/uiUruoq/ybz16URSm6aQtJp2sdmvddbMNe4N1OA9ZA/vzTH3i17cK6v/1Ww7qVUupTfNkVlar8p5/8erRnXVj3xc83vLLlSWqXKihBt/3NfCKkeybPc8ZVWi6sWzLkUG72ezQdX2xPSHeC05OPC44A5yNDlgIX7/oZYS8iH4dPz8HJCURHcPtfwJTQddN8Nkz6Pqw7a/v5b3JIoqtIKRDsZicu7lVRCSJWt/WoQ/aZ8Zzf+xYzQlLAthrWfWi6giNghu1UmlaBLP/8jUM4ekHE8s2vd+dmSCmlNik214TEZx8SpOy0y2i5+e1mF7YCiS3LhP41LuB8gEe6cPM8p3FCXS++JTCJ7QpeaiG+vMZHg/vizwddx6gcQ55jzaevO14cZRyL4+JdP9fFxoBgCCEu9HPxPqy7uvxlL+vYZiZMMLEh8Zk9idyHdevOioWlUHfFuiUGHqxif4pKkpMk0zY5ddC6kG5PemT/+ixrybZ/3NSy1DZICRMmLDVRuUdvx+B95BN5mQ/iyQuiZPhS99IrpdQPzUK6E488IBCL44TY3G5uYSuS2LJM5F9ZeVJo8XL62e/pwroLxnfLhXVL1E6lRYkf04TskwHZG1tD8OT1lOyRNZwUlvMsMp70U8AQASMW7xe74OrCurODCOvuJr9VJPv5zvlkRphQQdCC7iKSr0lp8+fc3hSVZm1y1u/O3nGl+vbwS/qxySmSkWREpkWlgyKxhuSQJbcW9OXbawghEIvP7/U2WU4lJ2SaYaGUUh9xzZgUGvxjRSXAyTHsyratFJfelj+tHd4HYvZxSPdMnufEJcO6u06lsHPB50Mqy4osVYQn3qPrNirv8D5w+vmGGAC+yCOt7+dcEQFjDDEseL1lRziO8dP9vz5/3zn/+eJHkvtdSHpvv5jYkAa41t+fohJdWLfxuzU+Vak+dUWlz4d0zyQzwvrdeXqpVvfQajxwSPe720iMCfvlTx79vlKeUWhYt1JKfaSdXpB8TfmZkO6ZYE5JKdCW2z8dWVILKbDMrUlZe4yALT7f9SAi5MURt5NlClfd5+ZjwcLq+95dvCGGgHvienTdRuUtsW15dfT4tc+LXGiCJ4TV80bFCGIyQli8NdxxQuqpuLW1HkK6Hy98JFOQEKzuQlpMaLqBBxu2X0UlM8LEGgnV0EtRahDGz0K6Hz+1kymQML2/gFOHwIQJEkriwCHdN5OINTB68cWj39dk51gJ/PHN/j+xU0qpRXQh3RWlfbw4H8wpPtqdCOuW2CKEzwf3PmJa+7m2WOV5zl29+I1+EgvEJzMr1XuT60tiDEyOPh0kvylFeUeKkWdno0e/77wQTPJcXazeFWPuO5XCgtvfALw5gdgS/P52xUmsHg/pfvhGCzIi07zkuQXfkqIjaqfSarqsmITRN586RCkisWSelMtoRkiKWHe9/nWprbAtId2TKpBlT3/YueIFEcM3v9z+myGllNqk2NwQE6QnpvtEe0Ygp7n97WYWtgKJLRIdi96atC7gnAd5Yn8TUBQFVSvUzWI37F1RSbAaGjw3X13hA/gv/nLQdYzKW1KWk5nH31fnx5Zjcbx7u3pRSQwYMcS4eK5NMKfEJFTXv1l5Hdvqfef80+dstCOs1/NuXsGVkAIhPRKDsib7VVSSgoQh1zY5dYAkTO8r/0+f1l3mUsK2b9a/MLUVjB8+pPtqkgg+fnYCy/ecviSJpZ7oQwKllPpQascEnr5hFZPh5IRYbf8DJEktkhzRPN5R8kNl7YnB4eXpLtwurDtjPF4wKkMsCYP4yWI/d8DE3dKmAsmeLhysbQ0xUNRTsuzpc+WsyHhmI3eT1aMhuqBuQ4qLd4tEc4pLOe3l3668jm1l/ASJ5ZNRHdDlKkkoIWocwjxCW5KCo01HGz/2XhWVHsK6nU4MUofHhCkm1vNl5picJIWGdR+ILqS7HTyk+/eXEIInHX1+Qs+MZAUVZ2RJtzMrpdRMW91CbImPjOL+kOOEFLd/6MFDp9Ic3QsfmtYe5xyp+HxI90ye50Q54uZuwc8VsSD2fcevelRV12SxxA8wgepDRTUhOM/pHN3RAK/ySO1WP1dEwFghLlFUIjvGc4Sf7m+DxEM22Ryd88kUCAHrrta8qv0QXLe1sGXzURf7VVSie/NpWLc6RF1Id02yT9+ww31Yt9Ow7kNg/AQT3X0L/3Au7iDEhP3ix3N9fyVnFKJPp5RSasaVlyRfUfFsru/3cgIx4OrtLohIbIH06DSoTylrjzVg8jkeVoiQFUfcTpcIY5YMswPFuW1w8e5tF9Iti3Wd9W1U3hLalldH8xV3XhRC4wMxrpY3KiJYY2DJolorJ0S3pw/UUsKEu7l2VUB3rwKCbfQh+DyiK0nR4WW+z4c+7WFRaYSJFQT9xa8Oiwl3gDwZ0j2TzAgJd90YX7XXupDuKXHgKSzXk4gxUHzxo7m+v7bPyUzg3cW7Na9MKaV2gy+vSK6kNPMFIAd7ho+G6t1259NJaue+fvnQtHYYO39WYFEUjKvlwrol7PlUrp7c3bwjxsC0eDxIft1G0zEpRJ6fzXftc56D4Lm+Wr0rpnsrL3eb7TmB6Ig9TKLbNhIrSB6ZI/+1+wHb7axwWlSaR3Q1RE/Mn2/82PtXVJplxegWOHVIHsZzzi+aAkkecds/alitpmvZj2A2H9z3obvSk9n528Hb0QsShq9/+Ys1rkoppXZHaG4IKRHsfDcNyZ4SyGlvf73mla1GYrtw7p/zkbb1C3U35XlO2ULTLNYFm8QiSYtK83DlNSGC+/KvBl1HUY5JeU5m57vdPT/KurDuN6s/yOriBpbrVIr2lJigvv565XVsmy6kuyYusM01aVj33JKvSMh8USg927+ikhmRELLmD0MvRamN6cZz+rnbSaELvwM0V+kAmDBZ6L2xDtdlwvvIHHmZD9LJF0Sx1OP9zRZQSqlFpPaWxAI3DCan4YRYrT7Vap0ktaQFI2i6kG5PmCOkeybPc9qQczdZPKxbohaV5tKOaWKO5ANuf4uRUXWHtfNfdJwVlmc2ML5bPUZFDMiS113BnuJSRn31NyuvY9t0nfMVycx/zkYZdcOI0mrbEg9BCjVxoOv9vSsqzcK6s1Y7ldTh6DJz5gzpfvihnCQ5uRaV9prEBmLLsBHd8IcrCCFAMf+FhClG1JyQxT3NFlBKqQW4+g5CQ1gwq8VzQtzmrVspdtOdFuxUmtYO7x0xezqkeybPczwjbsaLfa4kMiR5iPu3JalPTdOQxSl+yS6dvhT1hOADJ4tcFhvpwrrb1a85uiG3S/4b2BM8R7jJtyuvY9ssEtI9k0yBJA3rnktoSYtW53uyf0Ul7sO6g7bJqcPRhXQvVvkHSOYI43X72z6TMO22FQwc0v3mNhFCRF7OF9I9U8kZhdGwbqWUasurhUK6Z4I5gejxPdwsr4MkB8SFJ5SWtUckIXOEdM8YY8hHx9xMFvxcEQukrmNCfdblxQUpBjwDh3RPu5DuL0eLXfuc59AET4qr5Y2KAGn522zHCWkPw7qNv1t4m2sX1g1WH4I/LTakgQq6e1pUGmFCBaEdeilKbUSXmSMLT03ppiVONKx7jxl/hwklUY4GXcf1JGIEilcLFpXsczLxXF/rEyql1GHz5SXJVZRmsQDkYE4J0VBdbOl2mtgiabEt/ADTymNthiwY8J3nOeN6sTvb2YMZE7Wo9Jjb67fE4Cnz+QZyrMuougPveP5sseLWi8JA8oxvrlc6vhhIKxSVvDmB2JJWnES3TSTUkNzCxWMk68K6dQLco2Lw3XtmoL0J+1lUkhEQNaxbHYaU7jNzlvhRGXVh3RqAt7e6gmMAO+xTw0kZyDIQs9iHXTt6ScLwGw3rVkoduFBfE1MiZC8X+zl7hienuf7Vmla2GpO6ohIL3Az5EGlat3BBCboJcGULzi2wle0+XkD8ZOHjHRI3vSZGaL/8u4OuYzS9JWUF+SJBjsD5yHAkjjdvVruHFBFEZOGunJkgJ8QE1c3+bIEz4Q4Tm6U655MZYf3tGla1P3w7JUVPWCRzr0f7WVQyRRfWrW1y6gC8H8+5eGU6mm5aYta86X9hait0+9eH/VV/VyVaFxea/DaTjr8giqG81uELSqkD58bEJbY2iC1oOSZWb9ewqB7EthuhvsCE0rL2pOi7jo4F5XlOE3LGd/MXiJJYEoINq4c477X2liblUAzYHZ0iRXWHWbCgBHA2yjgzgdvxatEQxoCIIbjldgIEe4aPGfXVz1daxzYxYQqhIprjhX82GQ3rfkp0FSl6WoY59/ayqIRYkBG23dIPT6V69H485xJ7aCUnSUbW6nStvRRbJNYsnH7as2+uhRACaYlJMGZ0RMMxWSzXsDKllNoNvpmSfEVcckuNlxOi386wboktEluQxYpKzjminT+ke6YL6y64GS/wuSIWxGK0qPRZ3jtsnODi0CHdU6LzjLLFzxVrhFdFpG7rldYgAiIZzi93/ZXsMZ4RfrxPnUoThAgLFI9nornfWeG0W+lzgqsgOlzSolKvotU2OXUY3o/nnD+o8oEIyRxhNax7L5kwRZIbPqT75j6k+3yxPKWZkufkohl5SqnD1ZaXJF9Ty2Ih3TNeTiA6gt++36WSWiAtNBFqWjuQhBRnCx/PGEOWH3EzXTSsO8OE1YoN++zdu0tSDATJB11HUY67kO7FaxcAnGdQe7dSWLcIWGNY9iVEDE5OiG5/MrxMuFt6Mlm6LzjrLqTPC64iRYc3zwc5/t4WlZKMkNBV7JTaZ8ZPWPRi7ENdWPcdS2/8VlvLhFlI9+Ktxn26nkREoPjRYuGyM3X2jNx47sb6hFgpdZhceUUKFVNZrjj/Pqz7b3te2eoktiySpwRdSHdmFg/pnimKEXfl4mHdErez22sb3F6/JUbPNP9y0HWMpmPwnhfPlrv2eVEIpMDkbvnmBDGCMZawwm2o46QbEb/iJLptILGB6JaPkDY5SXJy3VnxWcmVED2tWbzQ3of9LSqZAiFgnU4MUvvNhMnSlX+YhXU7RFu6944JU4h+qVbjPt2VgTwTjF2uY8rl5yQMv/7l/mQLKKXUIkJ9TQoBZxcL6Z6J9gxPRnP9y55XtjpJ7f0M9vmEmKhbj5jlb2PyPGfSRrxfLKxbi0qf104uiTFRvfirQdcxqsbELKPIl7vmOB9ZRjjefLd8WLcRMGKIK1yfe3NCItHc7X4hxYQJElvSkg/AAZI5wuj2t8+KviYlEKvb33qVzAgQrI4fVHtMQrXceM4PdOdKJNMMsr3TdbHJQhfrfSubRNMGlqwnARBOXxHFMLn8pr+FKaXUDkntLQG7dGcOdoTjmDDdvsEcEt1CyX9l7YjBE5YI/J3J85w25Nzdzb+9KGHvt+qpT0nNmDbm2JPltmj2s4jEaDrGZMsXL54dWU5t4OZ2+WgIkW6bZYwrXJ/bM1y01Be7P/1W/OS+c375gkcyoy7TLO1+59Y6pFATByzt7G1RCbEkKcicFpXU/upCuhuSrFD5l66lNGt0utZeiQ6JFSs8JOvF768ghIDky3dLmdEJLUcakKqUOki+rcCXS01++5DjhOi3LBMoJSS1C22LKWtP8I5gli9e5HmOSwU3ixSVxCLR6U3tJwTvyeIdLg4zznwmr6ck5xjZ5W9xM2P4Mo9U7fIDQsSAGEOKy68j2hM8BW78u6VfY1uYMAEC2MUHtswkU3Rh3X7c38L2SPL1SjtXVrW/RSUgaVi32nNdSHdJXGKk7gMRkhlh3XV/C1OD60K6Pax4E7KqP95CjBF5/qOVXqeUZ+SywDYFpZTaE668JIWWJi0xkOMD3pxAbImrBL30LfmFx4RPKw8pIqPFJ7/NWGux+TE3kwX+LcQCCdFppB+5uLyC6PErPOTsw6i6wzvHqxV3/Z9niWaF80REMEZWKiqJGBynBDdZ+jW2RVdUWq3gEaUrSGW6C+mTJLYk7VRajygjJJQLf1gptStMmLJKSPdMkhHitQtkn7wvOC7/VKgP13cJEuQ/+ulKr1OZ5xTGUdVb9pRdKaXWzJVXJF8yZbXifDAnxCRUV7/uaWWrk9QgKZAWeABS1g5jVtgKeK8oCsYLhHV3XeHpfmu5+tDt1VtCDJT21aDrGE1vwbW8eL5arsz5SIgpMB0v35xgjLDqrbaXLqx7p8W2nywyyUiSkesEuI+kGCG2pBULd6vY66JS1yanYd1qf60ynvNDyRSY1CJ+f0aXHrouFNGBGSawb+au9GSZrJRvAOCKcxLCr3/x1z2tTCmldkMX0u1oV5yqFc0ZLuU0l9szAU6i67pq58z+izFRNmHpwQ8fyvOcaRMJYc7tbGK77Xp6rfSRanJJipHyxV8Ouo6iuiPanKN8tWuO88IwSp43b1cI6zaware4NyekFKnGu5t7asIESS1JVjxnRbqwbq87K34ouIoUPYHhOgX3vKjUPaG3WtFUe0hi3VX/ewhh7s6VhNWw7r1hwqS7SB8wpLtqE3UTyLLFxjZ/Sjh6SRTL7bvf97AypZTaHV1Id75yZw7ZMZ4j/HR7pklJbCE6kuRzfX/ZeGJwxB4emBRFQRMy7ibzdR4lsSQxWM33+1hzSxNy7NmLQZcxmt6u/BAL4Pwo48R6bq6XL2CICLLirXY0p/iYUV/u7vRbE2Yh3csH688kM+o6BdPq15X7xLdTUvR4htudsNdFpa5NrtC9l2ovGT/BRLd65R9IUpDEkmtY935IHgnVQtN01uHbayGEgFkhpHvGnDzDods0lVKHJfgG3LS3rAwnJ0RX9fJafei2v7Ukme9zoqwcMTicrD5hrAvrHnE7njcjyQIGCRoU/KHgPTbc4dKwGY5ZUyKuJV8hpPvhtWwX1l3Wy58r0kOnUszO8OT4269Xep0hmTDpomhWCOmeSVIgySFa2P2e4CqIjjYNtzthv4tKdBVNDetW++h9Zs7qlf/3LaW6VXQfdCHdjqFDut/cRmKMxJN+MhZKnpHJjmcLKKXUAprJBSk2NKmHz3q6CXBERwzbMfjgYZranAHP09oTQ8QeLR/SPWOtxeRH3EzmzHsRAZNhw/YU5bbB1dU1Ej1xwK03AKNyjGsdX476eaTWhXUvf80hAqTVbrVFDE7OCM3uFlG6DLJ+uubj/c6KrH3Ty+vti+hKUnQ4ORtsDQdRVJIw1bButXckTIEAZvUuEOiq/0a7QPaC8RMk1KSe3hvLuhx3F3ajn/6sl9er7DMK42maHgIflVJqB/jqiuQqpqyWpzTThXVDfbMdnQ+SmoW2ape1x2b2fhLb6vK8YFzOmanEfVh30ocbH7q+fkeInjJ7Oeg6RuW4C+l+1s8WoPOCLnx8ulwwuxHo41bbcQx9BF0PIbourqMvkpMkI6t1Z8WH4n2nkrerF9uXtfdFpWhGSPIYdzP0UpTqVR/jOT+UzAgT625iotppXShiTeqji20F4zKQWXrZ/gbQ5l1Ww29+uT0hs0optU6huiaGljb/cS+vF7MzXMqoL/+ml9dblcSWefdqdyHdHmP668ItioJJAyHO291iMWFHb/DXpL7rQrqr878YdB2j6ZhoM46Lfq45XowsBY63b94t9fNihJTMyvE/Xk5IKdBML1d7oQF016NuoemOjxK534Wk9/Ufir4mpUSyw133731RabZH22qbnNonfY3n/EDX1ZIw7XIfnmp7PBQcBwzpbh/v+3kAACAASURBVH2iqruiUl/C8Qsilqs//qa/F1VKqS2W2jEh9deZk8wRnhH+bjue9Et0c39WVY0nhkCcM39pHnme03jLZM5ulCQWkhaVPpSaW9qQwbMfDbqOohxj8vkC3+dxfpRxYjzXV8tFQ4iAMYYYVqsqRXt2H9b9i5VeZwhdVEd1v22tH8nc52tqWPeD5GviwGWdvS8qYXKS5OTt9ky6UGpVvY3n/ECSgoQhb/Rc2Wkp3HebDVdQAvj2GmKMSNbfBZ45OcdLgTjNyVNK7b/gW/CTXrNqRAyOU6Lfjq5kWWArWVl7gm9pzeoh3TN5ntOmgvHtdL4fEHufA6U3tDPWj3Gpv8/6pdbQVhjX9BLSPZNbw6s8Ml0yrFtMd775FYtKKTvFk9Nc794DNRMm3fnSw7TGmSQFJrX3MSAKgNj0NsxhWftfVKJ7KmP1JkTtkT7Hcz4Qc3+uXPT3mmrjupBu32vBcRnfXUMIgXTab8ZCKc/IcL2+plJKbSNXXpFCi5N+J/p4OYbYkuLAeaPJd5mnab6HIF1Id8AU/eWGZFmGZEdczxnWnSRDiNBnTswOu7q6RpIjDHxLOZqO8c7xsufa1os80frlOtOMgDUZwa1YgBSL44TY7N69rAmThTLT5pE0rPtjoSbN+Xt0XQ6kqDTqRg+m+YP4lNpmxvc3nvNDyWhY967rngrVJBn2qeHlXYQERz/9N3p93UqeUVhH22pQqlJqv7nykuRLpumLXl83mFNigurm215fd1ESWyQFkpk3pNthM4Ox/X6+FcWIcTnfjX/3wCbdbzNXlxdviMFTZc8HXceoGpPali/O+r0uPs8FHwN1uXhnn4ggYuhj0KKTY9i1LK/kkVDNG5k2/8tKQRJL1mzHFt6tEBqGLuscSFGpQJJH/O5VeJX6lL5Dume6sO4Kgj6B21UPRaXBQ7ojNhOk6PcJe3P/hPrrX/+619dVSqlt46trom9p85/2+rrhPqOluRo2o2VWVJrneialRFl7ZA1duHmec1dH4jxh3Q9Fpe3YPji0+u6CFCPTZ38x6DpG0zFRDCdH/RYcX4wMBY53b98u/LNiwBpLiKtfrwdzSkoBV+3Oveysc56+QrpnREjmCOOv+33dHeXbipSiZiptQpQRJMgabZNTe6Dv8Zwf6ILtk26B22HGz0K6h/v17kOiqj35GnbghaOXJAwXf9CiklJqv8Xmhojpxtj3KNljPCPc+JteX3dRklpILYmnCwF1G7ot1Wvowi2KgjZkTOfoRklYEgajD6oBiPWYNlrk/GeDrmNUjXvNcJw5P8o4Np6ry8ULGN2uLzP39s7HBHOKj5bq3c9Xfq1NMb4L6U49hnTPJNGdFTOhLSE62tT/v/MiDqKohGQkk2lYt9oLs/GcfU2C+VAyIxKiLaW7KkUkDv/09A/XEEJCegzMfHD0DC85qdUnVEqp/RWDR/yEmPr/rBcxODkhumGDbiW2SHT302cfN60c0bc421+e0kye5zQx52Y8x7+HZIDBBL2hBbDhliYOHNLtGkxTk2f9X3MUmeGLLDKpFj9XjAFjhRBWLypFe0Ygp7ndnbBuE+66oUI9hnTPdDsrGg3rBoKbkqLDMewOhQMpKs3a5G6GXolSK5uFdIeegzuBh7DurNVOpV0kYQrRkQae/PbdrRBCIPYc0g1grNWwbqXU3mvLK1Jscazn6bPjBEJLisPljUpsu7DuObqPytrjQ8AU/Wf3ZFmG2CNu7uaY8iUCxmK2ZHrekK5vbpHYEvve3rSgouxCul/k67n2eZEnmiXCukUEI4aUVr/dFpN1heBqdx6omTCl65xfT1wHRKzerxBcBcHhzOmg6ziMohL3FU2vYd1q95kwgehhDe2kcH+uhPFaXlutlwkTzBaEdF+MIykl8lfraYev5Dkj2+K9FpaUUvvJlZckVzGl35DuGW9OSESau+G6+CW1c0+GmtaezBrEPt3VtIxidDR/WDcZkjR78uriDSkEGhk4pHs6hrbli2frufZ5UQg+BZp6jqLjDxgrSA9FJegKwWlXpg6mgISy95Duh5eXnIQlq4cdNrANoqu6TiV5Nug6DqeoJLOwbm1XVbvtIaR7DZV/uJ8AFyoIOl1r15gw7UK67bBPK26ngSwT8rP1rKPNngOJ33399VpeXymlhuara2KoqbN+Q7pnkj3DxYz64m/W8vrz6DqV5gvpnlYOY9bXEZPnOXdV90DkSWK7tR+4cnxJTIHp8z8bdB2jakwQw9nReh62nhdCljwXbxfvihHpipB98HICMeDq7Z882IV0u/Xle4oh2SOsv1zP6++Q6GtIiTjwtf/BFJWiGQGJrNWwbrXDZuM5ZV21f0hy31Lq3q3tGGo9uoyHYUO6Q0iUdSAz63uPuuMvSFje/O5v13YMpZQaUmpuujylOfKGlhHtCZ4CNx6uOC9pvsJM0wZCDMQ1duHmeU4bLNPy6U6QJHbute+zWF/TBkt6+aeDrmM0HSP5+t4b58cZJ+K4urxa+GeNEaSnSIJgTvDRUF0OVwie18MkYlnP7y/o7lc0rBuSr4hIFwo/oIMpKiE5STKyRsO61e4yfrKe8ZwfSKbowrrbP67tGGoNUrzfvz6sP46F6CNmDYGZD46fEyQnNruTLaCUUvNKMYC7W+uIaBGD45TQDve5IbFlnvvtae2J3uHt+rZ3dGHdBeO7OW5SJUPi4hk7+8b4O1zsdzLhwmtwLbYpycz6siSPMsuLLHJXLt4h1G0q6OeaPWXP8OS017/q5fXWyfj7opI5WdsxkikwsUbC4tsS90poSFtQ0hl+BZsiQjIjrIZ1qx1mwgQJJXENkxQeiAUZkbVv13cM1TuJFUQ/+AfLd9epG/t8/GJtxzDWUnJKLvqkWCm1f9ryhhRb/JpCume8HMNQxZEUupDuOXQh3R7y/ie/zWRZRrIjbsZP/3t0nUoRwuEWlu7u7jCpJgwc0j2qxgQXOC/WO6Dki2XDug3QU6YSJqflhFBtfzh1F9Vh1hbVAe93VphDD+sODWmObcTrdjhFJboAYvF3MM9+aaW2kAmTbo/yOotKQLQjjNew7l1i/AQTG5IM+9Tw3TgRUyL70XpCumcqeU4hjuDnuylRSqld0ZYXJF8xTf1P0PyQN6ekFKnGm3+I1OUphbmmlU5rRyaCydZXZBMRiuKI2zI8+b1JLJAwcfju4KG8e9uFdNdyNug6inJMbGu+OFnfNiuA8wJc9Di32ICQPjuVADwnpG0vZqaAxPVPR+x2Vhjy5g9rP9ZWi83gU5/h0IpKMsKkFgnbH3Cm1KesO6R7JskICSVEna61K7r96xXJHA+6jptpILOQn613CkWTn2Mk8s03OvlDKbVfQnVF9DWV/clajxPNKT5m1Jc/X+txPkVSi6TAPLciZe0x2fofmOR5zrieJ6y7KxIYf7j3E+X4khgD5enAeUrlmCiGs+N1F5UsNgUu/7hYAVZEeu0iCeYEose327vly9zfP6y9c14MyRwddAasdzUp+rVulZ7X8CvYoGQKurBu3dajdlAKXUj3Jg5lCoSIdTpVYVeYWbHcDNepFEKirAI2W/8TEz96QcTyx69/sfZjKaXUJsXmlpgM2PU+JIjZGZ4cf7v5sG6JLZLcfdfP5zVtwHlPWmNI90xRFDTOUFaPd4LMOoLNAT+kDtU1Llj8y4Env03HSJZh1pipBPDi2HAijourxcK6jenyy0KIvawjmFNCMlSX2zuoRMIEE2uSWf85m8zooM/D6LroC896i6rzOKyikhQksWSH3iandtLD1rcNnLbJjADBNjotcSekhAmTjRQcH/PuDoKPaw3MnEmn5wTJ8LUWPpVS+yPFCG7cTX5bMxGDkzNCs/kJShJbJLonp0NNa0f0jpb1j8uehXXf3T1xkyqWhEUOOCbA+DFtyjF2uEwl4x1ZPcVuYA3HecaLLDCeLHauiIARi/f9XKEFe4pP2x3W/TD5bY0h3TNdUamC8PTUxn3k25IUHY5hdynAgRWVurDuI4zTiUFq95gwRUJ933G3ZmJJUpA5nQC3CyRWkHxvY2uX9e21dGOfj9YXpjpjbE7FGRka1q2U2h+uviWFlsD6n/ID3c3IAGHdkloEB+bxnKRZSLcZrW/4w0yWZSRzxNX4ia1FYkAMdgsmrg5hMp1gU00Y+DayqO4IPvA838y1z8s80S4Y1i0GjLHE0M8axY5wHBPK7X3o+z6qYwMPwaWAA95ZEV231bBN6y/gPeWwikp0bz4TNv9ERqlVGX+HpGYjlX+AZEdYf7uRY6nVmPtW4/jENoJ1u7iLxJiwP1pvDshMZZ5R6AQ4pdQeaaf3Id2sv4gC4OWElALNdLM3ZRLbLmvmiYzIaeWxIki23gEl0OXf5MWI8Vxh3RmSDrM74vLdW2LwtAx7Izsqx8S24dXJZq59znNooiP4+fNGRQQxltBTpxKAkxPiEpPoNiJFTJjChnrnu7BuIWu+28jxtk10FSk4vH0+9FIOsKhkRpjYIAf6dEHtroc9w2sO6Z6Js7Du9PTFlRqWCZMub8usf3vAY24mAWugeL6Zm6HGPsdK5A/faVi3Umo/+OqK5CvKNYd0z0Q7C+v+m40cb0ZSO9f1zLR2GwnpnimKgrsqPR3WLRbZ9ilcazK5uSDGwPT4TwZdx2h6S0qJs5P1FxwBXowMWQpcvJt/hL0RMMYQeryU9nIC0RH89j1Uk1hC9OsP6X44oAUzInOHmZccfUVKgWCHncIIB1pUgohtDzcpXu2gFLoCzwZP2WRGSAoH21K6S7oJNGnQkG6AaRXINtSGDuCOXhKxfPOrzd4MKaXUusT6hpAE7GYeEkR7iifHXf9mI8ebkdg+2czQuIDzAWRzn215nlM5qJvHb9i7TqXtu6nfBF9d46PBv/o7g65jVI4hK7AbyHEEOD+yHIvj4t3818ViwIghxv6u34M5JURDdbF9Yd3G34d0byBYfyaaEcYf5i6k5BsS0hXXBnZ4RSXJSViyWsO61e4woUSS735xbMgsu0nDurfcLKS7x5G1y3g7Bu8jdoOfKunkBVEsbnqYT6iUUvtlFtKd2FwRRUyG4wTf3GzsmHBfVHpCWXtSaPGyuS7cPM9p44jx+ImbVLFz/R32kbgxTcwQu7nCwUdrCJ68nmLyzd1MnxYZz7O4UFi33Hcq9VlUivYMT0azhWHdXUh3tbGoDoA021kRDu98TL7aXFfYE7ZjFZskhmSPsF67L9TueD9JYYMjIyXrwrpbDeveZhJrSG5TuyI/69trCCEQR5trwTVZTiWnZAeaa6GU2i+uGXdFFDb71NnJMWxyK1eKkDxPPSebVg7nPClb//CHmTzPCVJwc/f450oSiyQPB1ZYKquKLFWEDRY+P6Wo7vA+8Mxu9uLnizzR+vmvObqikkDscRGzsO7p9l2fP4R0m839DktmhBAP894+NlpUGlKSw22TU7vJhLv7otJmR0Ymc6Rh3VuuC+luNtpq/CkXt11Id/bqZxs9bsUzCjN/aKZSSm2rdnrZ5SnFzeTSzQRzCingqs183ktq7/MaH78NKWuPMYIpNtf1ICIUo2NuJ/6J7+yKKubAMlrfvXtDDGHwEeajckxsWl4db/ZW9kWeaIInzhmSJCJYa0ip3yKL44S4QHFrI1Ia5HyYhXXbQwzrDs3gOxVmDrOoZApMrJHwxMhQpbZEFyy/mfGcH0qm6I6tYd1by4QJhJK4wVbjT7medlvfipdfbPS4Tf4cK4G3b3ULnFJqt/myC+musp9u9LjBnOKjpXr3840cT2KLEJ7c0l/WHms3nxWS5znj+vHApyQWSPd5l4djenNJjIHJ0Wbfoz80KsekFHh2tpmQ7pkXhcEkz+Xl/GHdXSd5v+9jb04gtsSwPQ/VJJaQPGnTrfNiQUZk7WFdB8bgSHGAf+/POMyiknRh3aad/xeCUoN5GM+5edGMkOQx7nqQ46unmTBFtiWke4CcwDZ/QcTw9a/+v80fXCmlehTbG0LqMlM2elx7hienvd1MWLfEFomOx25DnI+0ziMDfLbleU7VyqNh3ek+GPdhMu+BcOUVPoB/9ZeDrmNUjsHmZGazt7JdWLfn4u0CYd0iPLnXc0HBnBCTUF1tNmD/MSZMu5DuAbZGJjvChvHGjzsk33ZFPJ82GI3yiMMsKpmChCFvNKxbbT8JJUS30ZDumSTdL6qs1bDubWXC3eCtr1eThHcRu+FsAwDOviCJpRnre1QptePaMWnDeUrQhXW3nBDqzTxAktQiyRHN6LPfM60cMTjcBkO6Z4qioIn542HdYkkYjD+sG1lxt7QpR7IBQ7pjoKgmmGzzxYuzUcYzGxjfzb9VVAxIz+d1NGe4lNFcbs/0W+MnSCg3GtI9E6Xo7pfSU9tW90dop6TgaNNmu/U+5yCLSojpsmLcu6FXotSTHjJzGOAD3OQkyTWse0tJrCG290/BhvPNTRfSnY42f/EvWUGFhnUrpXZbW92SQkMcKADZywkpbOb36EOn0iNZgGXtcc6R8ucbWdOH8jwnyujxsG6xIPagOpWquiaLJT4NHdI9IXjPaTHMtc+rPFK7+c8Vs4btb2THeI7xWxTW/T6ke4BOJTNCUsC2Vxs/9lCCqyA62oHzzWYOs6hE9+bTsG61Cx7Gc9phMnO6AqyGdW8j4ydIdA9t+EN5dwMhRrIvfjzI8St5RiGHNYFHKbVf3H2eUsnmiyjQFZWIAVevv0giqQXSoxOiprXHGJBs89c+IkJWHHE7feJzRTJMPJwHGpcX74gh4uXzHWabUJRjQtPyKh+mqHSeQ+MDMc4Z1m2A1P8tt5MTotuSTK+UMGEyyK4K4GE69iGFdUdXkqLDyzCfGT902EWlWMOGnsootayHp2AbHM/5oWRGSLjrRgCrrWLCBBNK4oanAv7Q9SRiDOQDFZVq+5zMBC4vD3CcrFJqL/jykuQqpvxkkOMHc4KPhnoD22kktqQnBo9Ma4e1GbLhASUzRVEwfmKeTxKLhGYzC9oC4+sLYvRMi2HeozOjckwKgfPnw1z7vCgMguf2ar6uGBEhraGo5OUYoiOG4bd8SawhuYFKSoBkJBmRue3p3Fq36GqInpBtNoPvczbWn/bVV1/9I+Cf0/X//cvXr1//Nz/4+j8B/lvg2/s/+u9ev379L9e1ni4rJmLdJcH+yboOo9RqHkK6h9veFE2BTR7xN6R8s5O91OO6qYABzLAhfZPKkw2Rp3SvHZ2TnOHrX/6cV6/+4WDrUEqpZcXmlpgiMT8f5Pgpe4b3Oc31r3n2J/9grceS2MIjw9V8iLSt77aYDSTPc6oSmtYxKj69TS+JRdLhFJVceUWM0P74rwa8KoXR9JaU52R2mILj+ZHlSBxv317w8ssfPfn9Il1hKYSI7XHNXk6JEeqb/5+9d/mxZOsSu35r74g4+arKqnvre3S7u+22bFl4gIQAe8YAhAQSsgdICcyQkFpGsiwxYGAhMWCER4iBJ8YTe4JJMUBGsgT8AYBaIF7t7u/R36Pv47u3qvJ1HnEiYj8Wgzgn65VZlVWV5+yIk/s3urfqnFMrq+JE7L32Wr/1ZxwkFqdfqzokXWukmgn2ATnO1C/7yrDEe4A1W/mXPzk5scDfB/5N4GvgD09OTv7p6enpP3/rpf/d6enp395GTL2sWyja3xD2clIpM0wkLleS7nRFhSoTUCja57icVBoU1/3rCZnWinMxyeS3NXrwBXFhWF49nLLnTCazW2h3RUzpqjEljgPCcvO+UdGO982XqBtPDJ5gt+/pW1OWJfNQMpvNmXz59OYXiUXCB8qZdonuii6WSJmw/U0jVTPH23TflaPK8th2XE7vlsAwBkQKYgB7j2ulWBzh2oLm7KeDSCpJqAk2TVIc+r298RegIWlCeltobIkDajrbViR/Dfj56enpL05PTzvgnwB/c0t/9s2IBTOh6J4nDSOTeR9DyPwjBWpKyi5v2AdF7JCY/oT0q/Ne0k2VxvkFYKo9Gg6xcSBugUwmk/kIfLtAQ0NIvBFyso9uup1LI0SHvKdSabF0eO8IRboNalmWeCZcTm9/rigFog5i+vajTdN1HUVc4BJMJ3ydajknOs9+wupoY4Qvy0h7R1m3CFhj8P49F/0noGYPzwQ//+bDL94wr1Qd6fYrcS3rdtuZYpkc3yaf/vw62/qX/3PAV6/9/9fAX7/hdf/uycnJvwb8FPhPTk9Pv7rhNfdGNBNMeDhlcpnx0YuYl8SEmX9EVmL7B3KTHgkmzFenvWkXeN9fKSFE5Gkan9KapRzxxHyfNIZMJpP5FNrFS9Q3NPooaRxBDiF6fLekqDbjqxF1QOx32rewaDwiiinTVSoZYygn+1wtFre/SCyg/TAVk/bfbtO8fPECjQFPugMk6H1Koet4dpy25ee4hLZxaIyIeX+NRt/+Zoj3rCYVMTgOie7yfj/4EzB+jt5vzuyjUdNX0NnuN4TqWdpgtkFsP+im2ybbSird9OR4+9L7H4H/9vT0tD05OflbwD8C/vW333RycvIHwB8AnJ6ecnj4GQ+c4gk03zN5+hjsMPoRM7tFURQ8e/YZN7aXvwS/B3sJk0oA9hi6K/a+/GI1xiKTnNkVNBH2n4H99FJ0a8xn3UdnTY0xwvHv/B62SHdC5SdfUiy/wYjhiy9zm+Yu8dn30UxmC3zOdRqufkarLfHgr3A4SZdIUfsMrX9J0X3Hs9/+Vzfzh3RT6CZQHMItP2vQGXt7e9ijtImaR48eUXeXtz8jPaAv+fJRAYfDv0d9zjX66z/9CcRAu//bn7f3+kyOn3dY4Mc/+pJJmW7N8aNHILOIa1qe/uD9f6dlGZlMHNg9Dg/vd78p8QnGv+SLp08wqVoC/RK6Esw+7H3etfG5a1LiEaWdwo6vGWLwzAvobJn0+/g627r6vgZ+97X//x3g29dfcHp6+vrYnv8G+Hs3fdDp6ek/AP7B6n918b4ThA8gIVJ2DfPvfkKY/NYnf04mcxvPnj3j5cuXn/ZmVfavvsV0DTF8+nV+HxivFN2C6Xe/RBNJRDNvUs2/oVouCOU+/cr20zg8PORz7qOX047CQtO20CZsxzOHKIb/4w//V/6lf+WmQtjMWPms+2gmsyU+5zq9evEV3jnm7IFP97zXYNgPlrM/+7/g6Pc38mcYd87+YgqhJd7ws4YQuZrVaIg0n/Fsug9CCFzVHZeXV5Q3JDAktpTOsXj5NX6ZdgrrXfica/Ty5bdoVJZP/gIk/Hc5Pn9ORPBdi+/SrTn2cEzw/PrXf0Z18P5/++CVEAKdb1ks3L3GYV3BkUa++eX/y/6T3/3wGzaA7V6yN7uE2H32fuVz16SFF5h+x2zH1wyumdE2NZ2Xz/r7uk+2VXLwh8BfPjk5+f2Tk5MK+PeBf/r6C05OTl7P6vwN4I83HdRa1m3b7IrJDA+JS1CPJBYxQz8BDpSiy+1FQ2EIku7ZUulcoLCJa56BePAFUQz1RXq3QCaTyXwUbkrAkvqeLnaCY59Qb+5ZL7HtN5+3TCxaNB4NDm/StlkBVFVF60ums/mNv69S9PuIh6DS6C5pQwEbaou8E6pM6ik25WSQFUeTgiMTuJxeffC1YsCIIcb7/34He4SPBc3LP7n3z74rvaR7ThzAd1bNBAnz3t22w4SuhujpSCjNf4utJJVOT0898LeB/4k+WXR6enr6RycnJ//FycnJ31i97O+cnJz80cnJyf8N/B3gP9x4YGJBsqw7M0x6SXdDTCnpXiMlKgVFTsAOg+iQeDdB5Cb5+rI/ydUy/QmtmezTso9JXNWXyWQyH4PvlqiviZp+owzg5IDoN1cBIrFDYgdyc1Kpbjzee6J9vLEY7kpZlgSZcDW7TdZtQOwrSfGO4r2jiHNcyumEQNksiM4zsek1DNYIX5TKsvvw9D+R3tGl4f7jVruPZ4Kbfn3vn31X+utfBzHaPpoKUY8MwDO1SYKr0ehxupc6lGu2dnc4PT39Z8A/e+vX/vPX/vvvAn93W/GsiXaC9Q/ghCEzOvrMf2JJ9xoR1Oxhs6x7EPSSbpd8ZOrzC4ghIsfD6F2veczjLOvOZDIjolu8QEPLkqPUoQDg5QCiI/gOW9z/JrEXdeutU6IWTS/yliq9+NoYgy33uJzfsvYRASkw4cOJhTHz4sUZGgNB0h4gTeorQtfx48SS7jVPSuWn7Yfb2UQEYw2qBgj3GoOI6RPBLt1e1oQ5OoCuCgCVvnKn6L7DVbvr1wxuiUaHH9CAgPSp3sSoVEioQXd/HGhmXPQVF7cvvLaNmgrj5yQf75Dpq9hCTZC0JxTn8wgC1Q9+lDSONU1xRCWe+TxXK2UymXHg6nPU19Tyg9ShABDMAUENy5c/38jnS+x4X5tf3XiMKZCBDAUpy4rp8vZ1j4rtW/p2mOnlc2L01EXaA6RJPQPveHqUvjoa4LgSVAOzqw8fuPYD4jZzTTsOIHTofY+XuwPrdlYZytbAlKiUlN1ud1aoqyE4nElf0blmGHfshKiZIARsd546lEzmDYyfoTqMzD/02X/Rru9VziTFhDlEDyZtL/W8DhQF6SaOvIUrn6AYfvGzf546lEwmk7kToblAQ8AVX6YOBYBoH+G1oL3YUFJJ277C5wZCVJZtwHxgRPs2qaqKRRvx/pbD5weQVGpm572k+3gz8va7MqmviLaiKofRKvpkYtnD8eL7D0uh+0t+M3EHc4ASaefbr9Q2YY7EDjXD+DcBULOH8R92XY2Z6BsUwA6n/W04d+1E6Kr/M8u6M0NCQgPqblt3JUGzrHswXPsbEl4gdas0XaCww7lI/cGXRDHMXmZZdyaTGQldL+keSmUOa1n34ruNfLxEx21FDXXjicHhE7dZvU5ZlrShZHZLBaxiEe22HNWW6aY0ocQcJdQxqFLVs0FIutc82rMc2MD5xYf9PSKCbGjbHe0RLpGsW3xfOR8H9J191Vmxw7Lu0BIHlsYZVjQpkAKVCYXbzMMzk/kUTJhhYotKmTqUa1Qq369K3gAAIABJREFUVGyWdadGPRKWaOKM4zcXQggBKYfhNgCwewd07GHCLHUomUwm80G8a3pJ94YqGD4VJ/tEv4FhEKp9xfMtv103jugdwQ7HE1KWJU4rrqa3JJWkQKLb2Q1s8J4iTPGpJd1tDV1HUQznIKswhmdlpLmLrNvApiqVoj3AU9Fd/dlGPv999IecHuxwppD1nRUe2WFnsoZmUN0skJNKQN8Cl2XdmSFhwgLCkmiGU9a4lnUbl2XdKTF+jqhnU4uTu/KbS4gxwqNheEDW1PKIUj4szsxkMpnUdIsziC0th6lDeQNPL+uO4Z7vpepBbxcVLxpP1ICZDGBAyQpr7UrWfcvfhVhAkbibsu6z8wuInpB4MEhVT/HO8YPhnGMB8KRQmvDhSjURQDez7RYxOA6J3fb1FL3/dVhJ8bjurGh3uLMitIORo6/JSSUgmgkSFu990GUy28SEOUIcxHjO11GpchVIYtZTATWxT+l8Fvty9B/+OGkcb7M0jymNZ9ls4JQ9k8lk7hFfn6GuptZhTNBcE+whEVhe/OpeP1e0RTSgt2xC66WjsMORdK+pqsmtsm5dJ5X8bg6IuDz7nhADtU3r/JrUU3AdTx4Pp80K4HgixBhZTN/v8NmkqBvoW0a37faKHRIHuNaSEpViZ2XdGiPEDh1YGmdY0SRCTYVowLos684MAxOGJeleo2aCie3OLp7GgAlzRDs0cRXbvPYUpcEUw5B0r3FlPwnjFz/948SRZDKZzPsJzSUxeLpyWEmlaFaOlrOf3uvnSnSIhht9gHEl6ZYBCX/XlGXJvImEcEOLmxSg2jtcdpDl/AyNkfr4LyaNY1JPibZkrxzWmuO4MkxwPH/+flm3iKBqNjZA2ZtDVCPL6fPN/AE3YMICUYcOLAl83VnhP+y6GiPBLdHoCQzruzCwqyAN6xN/22WvUiY9/XhOhwysrBHW3xXFdtt7aGXeZAiS7mXXL/6LAT5Bwv4XRLFcPt++WyCTyWQ+Bu0uCdhVC9WAKPbx7BPm93vSL7GD6NAbNkPL1hOjH1bb/4qqqmhDcaOsW8WiYrBhRzUa7ZQ2FphHT5OGMamngzvEAni8V3BgPBeX71dDiIARQ/CbcW9Fc4iPBe35Tzby+Tdhwmxwku41aiYYP2NjWbyE+K4G9QQZjscKclKpRwpUKoo2J5Uy6TF+NrjxnGtUyizrTomGvvUtccLxmwshhohUwxHJrzEHj/BMEJ/bNDOZzHAJvgO/GJyke42TA6Kr7/Uz+/a39sb27UXjCd7hZDiS7jVlWdJpxdXspmokCxhkB9UAwXtsmOJj2md90S4R11EO8CSrtIZnVaRu3u/UEgPGWMKGTCtaHOIpcZe/2swfcAMmzEHd4FQd0Os6RN1ufi9djQZHq8NKwA/v25mILOvODAUJiz7zb4aX+UfM6rtyljqSB0nf+uZIfev+/koJMRAOvkgax20syLLuTCYzbLrFSzR0dDrAZz1rR4tD4/3tgq+npMm7FSeLpSMEj5k8vrc/776w1mKKfS7nNwiZRcAUmLB7ou7ziytEPT5x4nNSX+Haji+rYVadHBdK698v6zYCRizBb+hnEEvHIaHdXhLF+EUvH088jfgm+sR1pNjBzoroajQ6HEepQ3mDnFRaoWaChPnOjgTNjIe+vSkMMvMP/ahOk6tAkmDCAgkNmvjaOJv198n9H/920jhuo7GPqIyj6z48kSWTyWRS4Opz1NUsGJZPaY2Xlaz78v5aiUW7fgN6wya0bjyFtYgZXosT9C1w08XNewSVAtEtS5K3wOX5c0LwLIv0rW/iHU+OhlWZsea4ghADy/p236iIINYS/Obi8HKwPVl3dEhcMkD9K7DurCgpmm9Th3LvRLeE6PDFsBLwOam0IpoKUY+43ZR6ZcZDn1Qa6F2atay7QXbwVG7oGD9btQ4cJI1juggUFkw5zMRnW/bjqH/xs+25BTKZTOZjCMtzYujoyh+mDuVGtOhl3e3Z/d1HJXZwQ6GGqlK3HmOHmVCCPqk0b5UYb6o0sZiwe0mlZraWdP/5pHFMFlOCWA4mw2u5BziuLBWO77+7vSpGDFgx3OR6vy+8HKAaaBeb7yZYS7oZaPtuL+ueYP37XVdjJPoGVJPvBd4mJ5VW6Ep2VWRZdyYlsetF3QOmr5JRTPcidSgPjiFIujuvLJs+qTRUwv5TIobz736dOpRMJpO5Ee2mBB2gpHtFNHt4JrjZN/f2mRK7fnf9FsvWE0NAZZgHFdB7lVpvmS3e9SqpWNDdq4yN7SVdKJBHaROfVT1FymEmlACO9wv2jefy4vYEhgiIMUTd3NY72l7Wfd9TG2/ChBkSlsQb/GhDQWXl19wxWbf6hjjAFM7wIkqF6cvkyi4LiDPpuB4XP9BFJvTyO8VQtrtXUjpoNCChJnUV2zcXEGNEiuEu8MzBMUGqXHmayWQGSQwO/Jw4sJHQryNicBzeq6xbtOOmUqXF0hN8R2eHJ+le08u6J8ymN/x9iF1VYe3W5tX4GU7TXqO2azCupbTDreCvrOFZEZkvb/+uGAPGCBo293NEe0igxF38cmN/xhoTFr0jbYDTGteoqTDaIeH2tsRREtucVBo6avYw/ip1GJkHjAnzwY7nvEYMavaw7mXqSB4UJtSIejTxbfu7SwghEgcq6V6z4BGFbFBekMlkMp9ItzhHQ4cb2Ejot+ll3R0a76FnRz1ouLH9rW76SiVZtS4PkaIoMMUeF7Pmnd9TKRACxHd/b6ycn19gtCMkPuSc1FO8c3xRDTepBHBcKZ2/vdNARDDGoHFzazgxBR0HhHbzB2omzG/1ow2FXtat2F3rrAgtOkCZVU4qvYaaqhcQZ1l3JhH9eM4AdtgLzevvSmZrmDBH4kAk3ars/dZvJY3jQzTmEZXp8D5PgctkMsOiq89QX7PQYSfngzkkqtJMP78FTmKHaEDNu0mKReOw1mDscCtgAcpqwnT5blZsXV1udqgi4uLsOTF4akmb6JvUU+hanh4NtzUS4EkpeA20ze2+UWME2fDW28s+umm/l3okLG/KDw8KlQoVu3udFaFFb2gjTs3wIkqIygTRgPhp6lAyDxTjhy3pXtPLupcQdudUbujIdVIpbRXbdBGxBZhquCXP8ErW/ctf/CJxJJlMJvMmsblAfUtXDjs5H+xR72h5+Sef/VnrpNLbqCp14zF2uG3/a8qyZLaM78q6xQK6U0mlevoSjZHl48SS7rqXdB/uDTupdDwxlOp58T5Zt/RVbZvEm0NUA265ub3s4CXda0RWXUjnqSO5N3y3RDWgG3RzfSrDiyghcSUgLtos684kIDpkJKXTvUxTcwvcFrmeCpjwdMIHpW7CoN0Ga/z+UxTDy2/+NHUomUwm8waxvSRgN77B/FzU7hOY4GZff/ZniXagDuXNaqSmC4QQiAOWdK+pqorWWxb1m9UoigUMZocOpWNzRRctPEmb+JzUV5gBOxzXHO9Z9o3j7Px2Wbcxgmw4GRDMISFalveQCL4N4+d9pVLiyvm7oLJbnRWhqyE6Oh1eR0tOKr2OlKgUlHkCXCYBvaTbDXYSzOuomaAIRZvF9ltB4yBOQH+z8imJHcGjY+8xXkp0C26BTCaTuSsxeHAzwtBP+ell3Z0cErvPf/5I7JDYvbMRXTSeGDqcHH32n7FpyrKk1Yqr6VsT4KRAMZiwO0kl46d0mjaZY12LaRuKYvhrjklh+cJG5vW70wHX9Pqhzf4s0R7hKWgvN1el3e9X2uSV83eh76xodkbWHVyNRodjeH/3w/+WbpPrMrnbs8yZzKZYS7rDwMWdwLWsu9g1+d1AkdCfTGji1shvL6U/UT54kjSOu2CspeYRBbs35jmTyYyXrr5Ao8MP8KT5Jjz7ED5f1t1PR/MgbyYq6qXD+4CZDP+5UhQFYve4fFvWLQLGYvztPp0xcTWdYrQlaNrEZ1XP8M5zXA6/OhrgaaV04fY1hxhgw3+nvaz7kNhsbi/bV86bQUu61+iqC8l2u9FZEVwNweHkIHUo75CTSm+hZtJ7bXZsLGhm+Jgwh+gHPZ7zddRUO3UqN2RMmGNi+07bwLY5m0VUlfLZsD0ga5bmEZVxBJ+nwGUymWHg6peoq1nwNHUod8KbQ5RIO7/dFXMXRLsbp0UtGk9hBbHDb6WBtaz73QSbUiA6DoXBh3j5/Ds0BBr7KGkck/oKupYvD4ff/gZwXAouerrm5utgG5VKAF4O0E05TzX0B50jQaVCMTvTWRHdEo0eZx6nDuUdclLpLVQqRB0Sdqf/MjMO+sw/o8j8wyoBG5bwnlOZzP3QT35bojbtycTVPFJYoTwafpsCQFceYyTy1Z99lTqUTCaTASA0l2hoaeyPUodyJ4I5vBdZd1+p9Ob65pWke9huqddZy7r17cNnsUjc8NStLbGcnRM1UB/9btI4JvWUgHAwcEn3micToVDPy+c3V8UYEdiCYNnLAcSAa29vxftUekm3H+T0sRtZdVZYtxudFdE3oJFoD1OH8g4juSK2h5oJoBTd553IZDIfxXo850gSStBPS4SI9WepQ9l5rhOON4xi3hYh6OpEeTxVnG7vKRHLd1/9NHUomUwmA6wk3WrAjqQquTjEUdFNf/1ZnyP67gFU2wV88ETGk1R6Jet+sxJExd74M46RsLygCxZ9mj6pJGWFMeNYGx/vFeyL5+z85nWxGECEED6vlfRDBHOAj4bm7Gf3/tnXh5wjEOuvUVOtpmvvAKEhIsgAk3rDiygxupJ1F823qUPJPCDWmf/Bj+d8DTUVimB3pKR0sFxLutMuqr6bCtFH7Bgk3Wv2jwlSEpY58ZnJZNKjMYCbEUe0/BYxOA6Jn1n1ILF75zG2aDzRd3g7vFaO2yjLkjZWTGfvyrol7kZSyfgpLqZN9BnvsE1NMaI1x15peVoEZoubvysiYIxl0x35WjzCU9Ke37+s2/g5Esch6V7Ty7qXsKmWwC2ivkEH+vwYZlQpEUHNBJtl3Zkt8mo85zjEnUA/pU4muapvw0hcriTdaW/Xv7lQQgyEEUi61/Sy7kNK2Y2FfiaTGTdd3be+BUb0rAe87MPntHZp6CXdb1E3nuADlONJKhVFAXbyjqy7r1QKEMbdAjebzzHa4BNPIp7UU4ILPK7GUaW05mmptP7ma0AMGLHEsOEgTInjgLC8//X5K0n3eFIIfWeFYndhuFBoUR3md2I8V8QWUZkgfpZl3ZmtYcIM0Q4diaR7TbQTrM+y7k1yLemWtKeGL6dKjOORdK9p5BGVZFl3JpNJT1e/RP2SuY5D0r3Gm0NUI83s0zZlvU8p8Pa2Y9E4rBFMMZ61j4hQVntcLd7MDKhYQDFx3KPLX3zfS7pb0jpbqvqK6Fq+PBhPayTAk6qXdQfv3vk9I4IxluA3v790so/et/NUIxJrYFz743VnRdHtQGdFbJNPgr6NnFS6ATUVRjskjPvBkBkPY5N0r1GZXI+7z2yGvtS4Tl5qfLlYSbofpZ0G87E0K1n3t7/JLc2ZTCYtfnmBumY0ku41cSXrbs9/8knvF+0QDe9shurGIyOSdK8py5JZ87asu6/sMSPfO9Szc2IM1Ie/kzSOST0jKhztj6uq77gyWA28+P7dKiEREGMIm65UAoIcQnT4bnlvnylhMYjK+Y9mJesuRl6pFHyLRj/Y9ulhRpWYLOvObBUNfevbQDPP70NNhRCw7jx1KDvL9QLVpF1410uPLcZ1OgUQJk+IWL79ZZZ1ZzKZtGh7SURQOx4fCfSybk9Jd/mrT3q/xA5Rt6rm6Wm7gPMBZBzj4l+nLEsaZ1g2r9qc1tXExo97enRYXuCCwT/9vaRxTOorpCxHI+lec7xv2RfH2ct318ViwIohxs1vv4M5JERDc35/su6+cr5JXjn/KfQTq0f+3exqiB7PMCXpOal0AyoVKpYiC4gzW6CXdDvG+HXsE7CCbb9LHcpuoooJs+SnQt9PFR8i1ozvGo2HT4hS4OubR/xmMpnMNtAYwU0JOr4NGWLpOCQ0n9buLrFDontjYtSicUTf4czwRmN/iKqqaGPFbPqakFksikFGrgQQN6XTEmPTOZUkeMqmxiaM4VM5KC1PisDV4t0ExrpSaStJJdsngtuL+5N195PfGnSA4+w/hJoKE5Zw3y2BW8R3NRodjmEeSoxvh7ANRFCzh8mj0jNbwIQ5EhrUDDPz/F7EolJRuJxU2gQSl6A+eQ3bN+dCCIE4GVfrG4CxJTVHWBm3PDWTyYwb11yhoSMwwqQS4OXgk2Xdffubg9fWOXXj8cEj1XiGP6wpigI1Ey5mr7UWiQGx2BG3v9V1TaFLQuJJxJN6ineeR2Xq1c+n8UWpdO7d70o//U3QuPkYxE5w7OMX97c+71UdMipJ95pe1h2xbrwtcNH1upFOD1KHciPjuyq2hEo1+hLWzDgwfo5oi5ph3iQ+hGZZ98ZYlxrHxKXGL6aRGJXiB+OSdK9ZmiMmeQJcJpNJSLfoJd0145J0rwmyj2qgXVx+9Hsldr3a97XN6KLxWBFkRJLuNWtZ9+U7su4C0fEeYDx//j0xeFpJux6d1FNi141O0r3muBTa6AjhzQEhIoK1BtHtJO2cHKC3TKL7aDSudAzj0yDAbsi6o2/Q4PDmKHUoN5KTSregZoKJbZZ1ZzbOq8z/OE9kokz674luwTz4wOir2JbJE45X84g1UB2P70QZoLXHWIl8+5vxLiYymcy48cvzPqk0Mkn3mmCP8NHSnP3xR79XtHunuqFeOkwxzqQB9C1ws+atDbZYJIw3qTS/ekmMgcXebyeNY1JPiao8OhiXpHvNcSVYDZy/fLftXoQ33GKbxMs+REfwn3+oJrH3+WjiKrZPRizIZNSy7uhqVAOheJw6lBvJSaVb6FuRFNtlD0dmg2gYfeJSTYVolnVvgqFIuufLQFGMM+kJ4PaOiRi+/tM/SR1KJpN5oMT2iqgySh8JQLSHBEq6y19+9Hsldm8UOHQu0PkwSuHvmrIsaTpo3pJ1j7lSKSwv8dEQvvzzSeOo6ilSlNiRSbrXPNm3HIjjxfMbkkpGEN3OzxXMIVENy5c//+zPMn4xWkn3mmgnmBF3Vqhv+6FOW0pKfiw5qXQLKhWKybLuzEYxoQb1yUXMn0Mv6wbbZa/SfWP8DE1cafxyBt6H0S7uAPTgC6IUuEWe6JnJZBLRXSV31XwOYgqcHBKbT2h/0zcrJerGo8ERErdZfQ5lWdLGiun0NVWG2D6BNlLEXdHGErHpJvJJ8FTNYtRVbIdVweMiMp2/q1Hpl1LbuQ8Ec4jTgvbiTz/7s3pJd/rK+c9BZYKE3ks0RjQ0g94vDjey1IhBzd6ohV6Z4SPr8ZxmfCN1r5Gil3XnCXD3ioQG1CGJ2yK/PteVpHucp+sApihZckihTepQMpnMA6Rb9pLuyIif9YBjH/3Y9i6NED2vT5xYNB7nHFqMs6Ua+qRSlAmXs1fPFRWLqB/lpnXZNBSxTp74rJZzgvMcjTenBPSy7vYWWfe2kkpS7K9k3Z9fIGHCDBAw402Mq6kQItaNdBBXaPpKpYGSk0rvQc0ky7ozG+V6POeIM//Qf1esv0odxk5hwgwT26313t/GiyvtJd3PxukBWbOUR1RmfAv9TCYzfrrFSzQsqeNx6lA+C28OQQNuefcWEtFu5Vx8TdK9dBgDphrv2kdEKCf7XC5elzEXgI5Sa/Dy+ffEEHCkFadP6imh7Xi2P+4t6nGptN4Rw5u+UTGAbu9nc7KP+s88UFPFhMVIFd2vUDNBEWz7bepQPo3Qolu8dj6W4UY2ANRUmNggYfnhF2cyn8CYx3O+jpos675vTFhAWBLNftI4LhcrSffTZ0nj+Fya4hFWAs+f5xa4TCazXcLyAnVLlsUPU4fyWQRziI+G5cuf3vk9EjuE8MYJe914rB15KQp9tdL0NVn3+hDIjDCpNLvsJd315MdJ45jUV2gMPDoa31TA13lSGQyei7M3q2JEZKuJAc8BREcMn36oJnEJ6pEBV8ncCbEg1Shl3TE4NHrigIc6jXsnu2FUJoBisqw7swmux3OOn2gmiHrE5Wql+8KEOUIEUyWNY74MFHa4D7G74qqnRAx/9ouPn1yUyWQyn0NoL4gKwQ5zas9dUXuIp6S7vLujRWKHRM96y+F8pHM++QCK+6AsS5YdNG3vUXqVVJqnDOuTcPU5PkL37C8mjWNSz6CsKMy4t6hP9ix74njx4s09pEifWAohbiWOYA+JQHPx60/+DLNSdcQRS7rXqN3DhvHtVXzXO3iDpt0TvI9xf2M3jJoKRSizrDuzAXpZnB90f+xdUelvckWWdd8bJszQLU0IuY3zRcS7iLVjL3oGPXiKiqWZ5kqlTCazZbopccSS7mtMieOA0Nx92quoQ7QjroZ61E1fNTFmSfeaqqroQslstlJliEUxo5wwJW5KF0ukSLhpjZFqOcMU4/+uHJSWxzZyNX3zWjAGRArilgr7oz3CxYLl2U8++TOMnyNh3JLuNVGqfv81ss6K0C3Q4Oh0uBV8Oan0PrKsO7NB1pl/Hbm4EwBTolJSdjkBex9IbCG65OnGby6EEAI6OUocyedjqkkv6465nTmTyWwP18zQ0BJ0/Kf8AE4OP0rWvX6eIf1aZ7H0eO/Rctx+KYCiKPCvy7rFgpjRVSq1bUsRF/jE12i1nBG856BIvfr5fIwRvigjbfemz0gErDF4v6XDOruPZ58w//T1eX89605UF6qZIBpGJ+sObgnR4UirxHgfOan0AdRMVsb7TOZ+uR7Pacef+QdQs4fJ7W/3Qn9tdGjiB/iLSyXEiH36g6Rx3BdLOaLMsu5MJrNFusVL1C9Z8ih1KPeCl32IHtfeLXEi2iHo9dSoReP7/y/Gv/YxxlBW+1zOX3uuSIGJ45o0+vLlC2KIeJkkjWNSTwmd41m1G9vTJyU00RFfK0sSA2IsYYuFMk4OiP4TD9RUMWGevHL+vtCVUsKObGJ1dEs0OpwZ7nNkN761G0RNhQlL+NgRqpnMB7g+yRrxeM7XuU7A6nb6xHcZ8XNMqImStsz1fK4YA+UX45bLrmnsY0rxnF/cvXUjk8lkPge/vED9klrGPUFzTTCHhGhozn5+p9dL7NDXtht147BFgYx8QMmasiyZLl+XdRd9ddaImF68IEbPoko7kGNST1Hvefx4uC0+H8OTyiAauDq/uP41EcGIJfr3vPGe8bIPoUM/oedOYgPqkAELoj8KKVCZUHTfp47ko1Df9E4lm5NKo6WXdUesy7LuzD1yLenekZs0fQJW1CMjdAkMjT7hGMCmPTVcLD2FFcTsxnXaTZ6gGH710yzrzmQy2yE2F8QYCeWT1KHcC9Ee4Slpz+8m65bYXf+3D5G2832b2I5QVRXLDjrXVyup2NEllbrFOSFC9+wvJ41jUk/RsqS0u7E9PV7Jup+/Jus20rfGxS1W/njpZd3Ly68++r29qqNFd0DSvUbNBOsvU4fxUURXo1GSD+95H7vxrd0ga1l3kWXdmXtEYt8bO3798Sviqmy6GFlJ6RDpk0ppEznTWulcpNydtT968AVRDMurfD/PZDLbQbsr4o74lADEVnQcEJZ39I2qY71/rhtPjH4nJN1ryrKkDSWz6ar6XOwbibQxIN2UVkukTFghpCtJt92dRcdRZXlsA5dXr9QQYsCIQcP2tuBaHOFjQXv2Jx/9XhPmSKiJOyDpXqOmQsJiVLJujS1x4NWdw45uCIgFmVBkWXfmHjFhjtH2emraTiAFKgVlngD3ecRuEKecX68l3dVwpYAfi6n2aDjAxDp1KJlM5gHg2wUaGuIOVeYAONm/m6xbFYkdsjpBWzSe4BxhByTda8qy7GXd0/65ohSIutFsWLuuw8Y5Pqa9RqvlnOg8+ztSpQRrWbfSuVeOLREw1hDj9g4Oo9nDM8HNvv3o9+6SpHtNXMm6jbv48IuHgm8H77XanW/uBol2MsrxoJnhYvwCCTVqdmfDjkgv6/YjukkPEBPmiDo08Sbk+yslhIgcp3Us3DdLeUQlWdadyWQ2T7t4ifqGZkck3Wu8HEB0BPcBIbU6IPY7aaBeOkAx5eHGY9wWxhiKco/LeiXJEQtoP7Z8BLx8+RKNgZD4kLOqZ4Su49lk2Bvnj+VJqTTeobH3jYoIxhhUt7cFFzF0HBLd4qPfu0uS7jXrA/1ReZVii+ZKpfGjMkHCEsK4ylkzw+W6vWmHMv+wknX7OeguNfZtFxPmmLAgStqE48U8IgLls92Qy65p7CNK47m6ypMKM5nMZukl3TUL2Y0JmmuiOSJEw/LsZ+99ncQW0YCu2rkXjcfa3ZF0r6mqimndJw3WB0K9N3P4TM9Xku4y7TU6qa/AOY53RNK95nFpQD3Tq1cOH2Ng21vwV7Luuw/Tkdj01fM75H8FwJSolBQj6azQGCB2W01EfgrDjm4gqKkQAtbniUGZe2A9nnPXbtL02X9Rh4RZ6lBGiwnzvmw+saR7VgfKQnbKbwDQVStZ989+kjqUTCaz48TmAo0RX3yROpR7JdjDXtZ98X5Zt6hDtBdzhxBpOo/sUHvTmrIsWXSKcysJuYL4cayD2sU5MUL37C8ljWNST4llRVXs1prjyZ5lIp7n372SdYsIwnZ/zmAOUaCZfnPn9xg/x0SH7siU6tdRs4d14zhc9F3dVxMy7EKE3buzbwA1ExTBth/fi5rJvM31eM6d0nT3RDMBdFwlpQPD+PSS7lmjdF1gx/JJAMSDL4limF98nTqUTCaz42h3RcCS+p5+34id4NjHL97/rJfYQeyIUrJoPDG4vnVuxyjLktaXzOYLVApUBBvGoc2Q7oo2FFAl/HdRZVLPMMWwN82fwqOJ5cgELqevKpVEQLe8BQ/2CBct7dlP7/yeV5LuHVJ1rFAz6Q/A9e6VW6kIXQ3R4xh2FV9OKt0FsSAVRfc8dSSZHcCEGSY2qJSpQ7l/pESloGjydK1PIro+6ZiYry8ghIBUaaulNoGZ7NOxP5ro4KXHAAAfMUlEQVTWhEwmM058t0R9TdQdzM4Djn3Uv/95Jdoh2oFU1I0neE+0j7cU4faoqgpPxeV0ARgQixlBxbb3rpd0J55OWDYL1Dn27G4lXwGsEb4sI023vP41MWy9UkntPoEJ3fSrO7+nV3WEQY+x/1SiqRD1iL/88IsTE1yNRkenw16T56TSHVG7N5pTh8ywMWGBhOVOjee8RgQ1E2yWdX8S15LuLS823ub5FcQQ4fEPk8axKRY8osyy7kwms0G6xUsIHQ1HqUPZCN6sZN3+dt+oxA4UMAWLxqEakWq3pOXQy7ptuc/VwvVlKFJgQvoDog/x8sUZRI8n7SHnpJ7iu44vJrtXwQ9wvJJ1rzECbNmP08u6D4jd/O7vCQt2rcpyjcoEFIp2+J0VwS0hOrwZ9r0zJ5XuSJSqn+SgPnUomZHTZ/7ZOUn3GjWT3iWQZd0fTV9qvFy1EabjYhZBoHq2m0mltnhEZRz1cvnhF2cymcwn4JfnRF+zYLcmaK4J5pCowvL8F7e+RuKrhFPdeAprd07SvaaXdffrHhWLxDZxRB/m6vIlIQbq4sukcUzqKXjP00e712YF8KQSVAOzlaxbEoi6YT218Y6y7tiN4hr+ZKRATUk5Alm3+gYNDmeGXeW5m3f2DaBmgmjAuizrznwexs93Ot+iUmG0W51wZD4GE+ZIdGDS9k3PFoHCspN+A4Cu7GXdf/qTf546lEwms6OE5oIYHK7c3aSS05L2PRPgRFsQIURl2QbE7uYzBfqk0qKNeN/LusewIW9nZ2iMLJ/8xaRxVPWUaAsm5W5eH08mlgmO5897WbeIoGq2vhfw5gDVSDf/sM6lX49219MMd45VZ4UZQWeF+mVv4bXZqbQT6Kqf1LbDz2hmhksv6e4Q2c1yUugTsFnW/WlcV7ElvD6WndJ0gR3NJwHgV7Lu6Yss685kMptB2ysixc5W5kixj2cPv7jdoSixb/lZriTdgWE7QT6HsixpQsF8XqPY3iU1cLS7ogkl5ug4YRDKpJ5iix30jK54NLEc2sDlxapSScCIIfjtSqKDOcLHguXLD0+/NX6GCTVRdrN6DFglleaDl3Wrb0YxMXw3n3SbQApUJhQjKJPLDJd+PGeL7ugiE/pKJRVLkaclfhzqkdCgiROOX59LL+kud3fxb/cO6Jhgsicvk8lsAO8a8DUxsR9v03Ry8F5Z9zqxsmhcP/lt4O0bn0NZlnidcDnrJ8BJdIPerAbvKcI0uaS7aJeI69jRIiUACmt4VkaWbQ2AMWCMJfjtlippcYijopv++oOv7YeZBLC7uxZUmaxk3cNeC2potj4t8FMYfoQDohcQX6UOIzNiXo3n3EFJ9xoR1OyNoqR0SJiwQNRB4k3Id1dKjBE9TOtY2DRLHlNkWXcmk9kA3eIMjS2d7vCzHvD0su4YbvCNRgcagN6nFGPE7u1uUslaiyn3uJx3/dRoIhKH6+07O7+A6AmkzeZM6itc5/iyGn4lxudwXChN6JOsfaWSxYftxiBicByi7YcnE/aV87v9bxJNRd9ZMfDp7qEl6vD/LXJS6SNQU/WeGN3yXSCzM/Q3ad3J8Zyvo1Jh/PDH6Q4J43tJtyaWdJ/P+pPVyY9/K2kcm2Zpj6iMZ9kMf0JPJpMZF355jrolC/lB6lA2SrSHRKC5+NU7vyfaIRpQLIuVpJtd9bOsqKoJ01qvPTTih+uWvDx7vpJ0P00ax6SeIa7j6aPdrYgBeDIRYows5lPECGItN+ViN42XffRDvq/oel3HriMlKgVFe3sLb2o0xl6uPoKUzfAjHBDRTBCNWJcrMDKfhgmzUfTFfi5qJpjYZln3R2DCDNEOHYCk2xZgdthvAL2sG+CXP/1p4kgymcyuEZYXxOjoit2UdK8J9ggXC5rzd++jEvukUtTeqSRmtxNK0LfAzZtIUAuqrzyJA6RZrCTdx2kl3ZP6imBL9qrdXnMcV5YKx4vvXyICVgx3GcJ233jpZd3t/OWtrzFh3lfO73gSeN1ZYQfcWRHcEo2BmLii8C7kpNJHoNKXydksIM58AhLbPvu/w5Pf1vTVNhHb3f7QyrxJ378uSSXdbddP6CnN7ic+w/4XRLFcPv9V6lAymcyOod1Vn1jY9U2ZXcm6Z+86FCV2EB3LzhCjJ8huV2hDn1TqQsF80aBiBl2xre0VXSyRR18kjaOqZ5hix78nwOM9y6HxnF9cYATEGKJu/+eOtpd1N2e3y7pN6CXdQYY9bew+ULPqrBjoWG7f1aAOL8Ov5MtJpY/BlKhUWdad+SSux3M+gNM6lRLFUjTfpA5lHGhAQk3qR9o3VxBDxOyyMXOFOXiEZwIDFzRmMplxEXwHfjGKdoX7wMkh0b/rDurb31pmrRD8bku611RVRacVF7MlYAY9DML6GS6ml3Qb11I8gKRSaQ1fVpG6qREDxgiE7R/gaXGIp6S7/OWtrzFhAdFDYh3DNuhl3Q4Jw0wAB1ejwdPq8BN8D+OJd4+omWDdZeowMiNE/BwTFjs9nvMaMajdw/qz1JGMgleS7rS35N9cQIgBf5j25HJb1HJEmWXdmUzmHukWZ2hoadltSfcaL/sQOjS+6RuV2IFG6hZiCJhJwrH1W8JaixT7XM07MAUmDFPUfXZ2hqgjJF5zrCXdX5S7Xx0N8KRQWt8hIhhjiDHBzy2WjkNCe3vC0/iVpDvxNOJtoAOXdUdXQ3Q4jlKH8kFyUukjUTNBwnzQY0Izw6Tvrd/t8ZyvozIZdOn3kOir2JrVwy0da0n3/o/+XNI4tsXSPKYyjq7rUoeSyWR2BFefob5mwcNIznvpZd3Ly6/e+HXRDkRWkm6DmN2vgIW+Wulq0cu6RT8gRE7E+dlzQvDUxZOkcVT1DLqOLx7tfmskwHElhBhY1guMESTRNjzIPoRbrs3okLhkBMPG7gWVChVL0b7bwjsEolui0RGKR6lD+SA5qfSRRFMh6pFcrZT5SPqk0sP5yqmpVrLuYZ7UDQnj10mltCfb00XEWsFUD2OB15V9O8Yv//RniSPJZDK7Qmguid7RFT9OHcpWiPYQHwvat2TdfaUS1K2HB9D2v6YsS2ZNIKrFfGjKViKaWS/prh//ftI4JvUV0RgOJrst6V5zXBkqPM+/f4ExoInky72sO9Au3t3L9pXzngezX1nJus1A9/UaWtBINIepQ/kgD+SKuT90Jcoqsqw78zHErhd1P4DJb2v670rEZFn3B7lOOCYsNe68smw9hU1tdtoebv8LFMPZb36VOpRMJrMjaHtJxOy+pHuF2n08E9z06zd+XWJH6yIxhNXwjodBVVW4WLJsHcRhVsHG5oouFsjjHyaNY1LPMOXDOMQCON4v2DeOi/NzRBJWKtlDfLS0Z3/yzu+ZMEdCTUw8iXibqFSYgfo11Tf982QEjCPKISEFKiVl95vUkWRGxNqZo/JwvnJqKhShHGhJ6WDQgMQ6dRR8ewkhxAcxhWWNTI7wpoJumCdUmUxmXMTgwM8J+jBavQBEDE4OiG7x5q9rx7LzBN/i7PBbN+6LsixpY8W8dqtqreEd1Bg/TS7ptq7FdA2FfTiHrZU1PCsii2W9OkNMsyeI9ohASXuDrLvXMTh4SEklM8Foh/jFh1+8ZTTkpNLusi6T83kTkrk76/GcD0LSvUYMavaw7kXqSAaNCb2EL/WkoN9c9EmlePBl0ji2ibGWhT7Ksu5MJnMvdItzNHa4B7QhA3AcQHBoXPlG1YMG6qavVDLl7k9+W1MUBVLscbVwCAFikzqkN7g4v8Bol17SvbjCO8fT6uEklQCOS6X1LWIATXOIJ6bopzY2F+/8ngnzvmr+AUi61/SVlBE7RFl3aBmL4ConlT4BNVVvxs+y7swdMWEO6h6MpHuNmsmqtStzGxLmmNigJq1T4HymoJHqhw/DA7KmMY+oTIf3ObGUyWQ+D7c8R13NIj5NHcpWCeYQRWmmfWWyxA7RQN1pPxHNPpwWJ4CqmnC17DeCJgyr+uH87DkaPEuTVtI9qado1/HF0cO6No4r8BrwriPlNtyx3/t6Xkc9EpYMr7Zus/Sy7oKiHWAXUmiJI+lyGUeUA0Nl0su6B9p/mRke/XjOh/d165NKSwjDOqkbEq8mv6WVdF8tArYwFPsPYwz2mrbsx1z/6le/ShtIJpMZPWF5TgwtXflbqUPZKtEe4qKlPfsJ0CeVVD2LZUDsw2mpXlOWJVc1qOrgkkr17IwYI8tHv5c0jqqeEsVwuPewkkpPJpZSPVeXl6AmWXekN4egAbd8NaV5reqAB/adXXUhWX+WOpI38N0S1YDqOPaP44hyYERTAUrRDrBMLjM8ouuTBqnjSIBKBUSsG9aNekj0lVwCCU8ifFDqJlCYh3eV+v2nKIYXX/08dSiZTGbkxPaSqBaVh+NUAoj2gMCEbvoV0PuUomtoPSAPK2kAfVKp9iWd8xg/+/AbtkhsLumiRZ/+dtI4JvX0QUm61xzvWfaNYzq9QkSIMU3XSzCH+GhYvvzJ9a8ZP0dC+sr5FPSy7mF9V0PX6zGcjqPLJSeVPgUp+zK5LOvO3IEHm/nnlax7kCWlQ0Dj6hQzbTLnuyshPjBJ9zV7j/FSou27boFMJpO5KzF4cHNCIk9KSkQMHQeo69vdJXZ07RIflFaOEke3faqqYuEnNK3HhGF1NRg/pYtpkwbGddh2SWHG4Yq5TyaF5amNLJoFYizep4lD7SGeku7qF9e/ZsIc0TZ55XwK1EwwsUHCMnUo1wRXo9HTMQ5HX04qfQrXZXJ5E5L5MCbMkLAkPqCRuteIBTOhcLmq7yYk1hB9ckn3txeKD4Gwn9axkAJjLUuOsAxz9HMmkxkHzfwMjR1BHuCzHvBygIYOjRHRjq5r6TyY6jh1aFvHWovaAxZNxPj0013XnJ2fY7RNPk1qUk/xzvP44RUqAfC0UpxvMWIJPtGhoilxHBCXrzoJrh2oD0jSvUZXXUimG85woeBqiB1OxpHky0mlT6SXdc8GOSo0Myz6zP/DGs/5OtFMBldSOhSMX0m6Sdsq8XKmoEr1g4flAVmzNI+YGEdIdWSYyWRGz3L6fS/p1ocl6V7jzQGqkXb+HIkdbRexVjDFw0uyiQhVNWHeCqLDcUp+95tv0BBozKOkcUzqK7Rr+fLwYWaVnpSCiw5UiSFdHE4OiX4l69aAhBp4eAklWMm6MZTtt6lDuUZ9gwaPM+NIzOek0ifSy7odEvJmOfN++vamhzWe83VUJn05aciVIG/TS7qXqD1MGsfVImAtlEcPr00BoC2fYCTy9dffpA4lk8mMlHb+ghhalvZHqUNJQjBH+FjQvPwJxJZlG7H2YbmlXqcsS+YtyIAGlUzPviPGQH34O0njmNQzIg9P0r3myUSwsaNtOnxItzfwsg/qce18perwqDy89l0AxPRdSO5l6kiuCa4XdcfEe4S7kpNKn0hfJhcputzWk3kP8WGO53wdNROEMLipCkPgWtJt0j3EQ1AWy8BD1Cmt8ZMnRCy/+fWfpA4lk8mMFL+8IKoB+zCrkrXoHS1u+mtit8SFQExchZuSqqponMV1w5n+5hZnuGgIT383aRyT+gopS8wDdCoBHO8VTOholks0pvs7COaQEA3N2c/7pFJsUHl4ku41111IQyE0KAZJOMjnYxhHlANEpepl3QMqk8sMEDd9sJLuNWtZt82y7jcZyKjh31xFoo/YBzj2eY0ePCFIQWzOU4eSyWRGiMbYT357wMvqXtZ9RGxnuHaB9x6fuM0qJWVZUoc9uuU8dSjXaHdJF0rEpLtOjXfYpn7Qa4690vKk8LTOERNWKkV7hKekvfjT3v8aG9TsJ4snNb2sewkDqS5U3yR3rn4M44l0aKxl3S7LujPvwfWS7r6y7YEiFmSSq/reQmIN6tHEbZFfv4yEGIj7j5PGkRJjLUs5wmqbOpRMJjNCuvoCDS1BH/CznlU7TWzxXY1zAR6gpHtNURQ4JjRtCyH9s2U2n2PCkpC4valaTgk+8Lh8yDX88LQMBPWoplsDiq3oOCDUL5BrVcfDTQ2o9LLuwbTAhRYdkePq4V4594BKhQypTC4zPNx0NZ7z4Wb+AdROsAMbq5saExaDkHQ/vwrEqBTPHqake81SHlEZlzqMTCYzQtzynNAtWOjDm6D5Ol4OiBpZLheICKZ4mK2A0Mu6pdin7SImpq9KPnv+nBgCLWn9LJPFlNi1PDt4uK2RAE9K8NGjCSuVoE8Ea2gGUTmfGjUTFKEYSmdFbJMmHT+WrX2jT05O/i3gv6bvA/qHp6en/+Vbvz8B/jHwLwNnwL93enr6q23F9ymomWD9JeLnaPEwBbeZD+CmgHmwku41USqsPwf1IA97IbHG+DkSaqJNuwm5mHkKK5SPH26lEkBjj7Eh8vXXX/E7v5PWN5HJZMaFr88Jbsmy+CupQ0lKtEd4V+CWV2AerpvlGrtH40D8HMovkoYyn74kBk99kFrSPSUqHB483IQjwJOJQZrAcqFscTv+Dk4OIHo0dKOqitkIK1l30b0gdW1h8C0a/ahaqrcS6cnJiQX+PvBvA38V+A9OTk7+6lsv+4+Ai9PT078E/FfA39tGbJ+Dmgmg2O5F6lAyQ0QDhMWDlnSvUTNBNGC77KxZ80rSnTbJNl84HvCAnmvCXi/r/uaXP00dSiaTGRmxvSCqoPaBVyUXhwRK1C+J5KSS2D18FLp5+vb/UF/gouC++L2kcUzqKVKW2Acq6V5zvF9Q4miXaSukozkiREM3f/6gJd1r1EwwA+is8F2vyBhTS/W20l9/Dfj56enpL05PTzvgnwB/863X/E3gH63++78H/o2Tk5NB33F6WbfNsu7MjZiwgOgedH/ymrVTKsu6V6hiwjz5qdD3U8X7yAP2ZV4TD58QpcAv8iFBJpO5OxojuFnyVuZBIJaOA2LwLHm4PqU1ptzHaUlz9U3qUBA/xcUSk/CBL8FTNosHLelec1BaDo3H+bRxRLua2rg4Q81B2mAGgJoKE5YQuqRxhK5Gg6OT8RxUbOsJ+OeAr177/6+Bv37ba05PT/3JyckV8CXwXlvWP/wf0lY+/As/9OyV/x/KHyeNIzNMrFH+n2+/xIVcofMv/jhg7f+G8oepQxkERpRfnx9xVqeLQRFCjPx2d8YXzf+SLpCB0B7DsT3nj/7nf5g6lMxriBhUY+owMplbEYl8e/Ujztp8nf7W4T7d3gF/9OLHiHnYfx+qBZMvJ8zn38Iv0j5XClHMlef3/8+0z3rvPEfVoGsGtsahDZzHip/9ccrvSYk83eP7c/jZ/36VMI4ekcukz/tHk5a//Kwh/tE/ThbDGsHx05d/gTb1+uffudvLtpVUuunu8XZX0F1ew8nJyR8AfwBwenrKf/qf/cf/f3v3HmNHVQdw/FvaCqUtiDQFlBIqqUoDyqMqCYJKpPIwoJH+glWogJYQCCDE2AhCxAdEHoKJkXdLlddPgVgNgoABEnkEakAokFAIj6UNRVvpBhFou/4xZ+ll6UJn9967t7vfT3LS2zN3Ts8kv56Z+d0zcwbfO6mFDhjqDkiSJLXRzKHuQMfo+2CGVPnWUHfgbYcNdQfUjy8NdQdqaNdzOV1A45tPdwT6PjP29nciYgywNfCu6R2ZeXlmzsjMGRGxmCoZZbF0ZDFGLZ1ejFFLpxdj1LIpFOPU0unFGLV0ejFGO7a8r3bNVHoImBYRU4GXgCOB2X2+swiYA9wPHAH8LTN9x7EkSZIkSVIHastMpcxcA5wE3A48WVXlkog4JyJ659xdBWwbEUuB04B57eibJEmSJEmS6mvbUhWZeStwa5+6sxo+/w+YVbPZy5vQNamVjFF1OmNUnc4Y1abAOFWnM0bV6YzRTdSonh6fMJMkSZIkSVI97XpRtyRJkiRJkoaRtj3+trEi4mrgK8CKzNyt1H0KuBSYADwHfDMzV0fEWOBKYC+qY1mYmeeWfQ4CLgFGA1dm5nntPhYNT02M0eeAbmAtsCYzZ7T5UDRM1YzRDwCXATOAdcApmXl32WdvYAEwjurx5VNcQEHN0MQYvRvYAXi9ND0zM1e070g0XEXEFGAhsD1V3F2emZdExIeAG4GdqeI0MnNVRIyiuu48BPgv8O3M/Edpaw5wZmn6p5l5TTuPRcNTk2N0LfBYafqFzHSdeQ3aAGL0E8B8qvumMzLzgoa2vLfvYJ04U2kBcFCfuiuBeZm5O3AL8P1SPwvYvNTvDRwfETtHxGjg18DBwHTgGxExvR2d14iwgEHGaMN+X8zMPUwoqckWsPEx+l2AUn8gcGFE9J4bfgPMBaaV0rdNaaAW0JwYhSr5tEcpJpTULGuA0zNzV2Af4MRyLTkPuCszpwF3sX5hmYNZP1bOpRo/KTdPZwOfBT4DnB0R27TzQDRsNSVGi9cbxlETSmqWujG6EjgZuKCxEe/tO1/HJZUy816qgGr0ceDe8vkO4Ovlcw8wPiLGUP2S/iawmuqkvTQzn83MN4EbgMNb3XeNDE2KUallasbodKoTOuWG/D/AjIjYAdgqM+8vs5MWAl9tdd81MjQjRtvQTY1gmbm8dxZHZnZTrV78Earryd6ZRtewflw8nGo2ck9mPgB8sIyjXwbuyMyVmbmKKrZN0GvQmhijUkvUjdHMXJGZDwFv9WnKe/sO13FJpX48DvRmzWcBU8rnPwCvAcuBF4ALMnMlVbC+2LB/V6mTWqVujEKVcPprRCyOiLnt7KxGpP5i9FHg8IgYExFTqWbUTaEaM7sa9nccVavVjdFe8yPikYj4UXm8Q2qqMsN4T+BBYLvMXA7VDRMwuXytv2tPr0nVcoOMUYAtIuLhiHggIvwBSU23kTHaH8fRDrepJJWOpZoutxiYSDXbA6qs5Vrgw8BU4PSI+CiwoYtK3wOiVqobowD7ZuZeVFM5T4yI/dvcZ40s/cXo1VQn54eBi4H7qKYrO46q3erGKFSPvu0O7FfKUW3tsYa9iJgA3AScmpnvNdO4vzHTsVQt1YQYBdipvIphNnBxROzS5G5qBKsRo/1xHO1wHfei7g3JzKeAmQAR8THg0LJpNnBbZr4FrIiIv1NNiX+Rd/6KuSOwrH091kgzgBh9NjOXlX1XRMQtVAmoe9/VuNQE/cVoZq4Bvtf7vYi4D3gaWEU1dvZyHFVLDSBGycyXyp/dEXEd1Ti6sL0913BVFtu4Cbg2M28u1S9HxA6Zubw8OtT7Hq8uNnzt2QV8oU/93a3st0aOJsUoDdekz5YFEPYEnmnDIWiYqxmj/ek3dtUZNomZShExufy5GdXqGZeWTS8AB0TEqIgYT/UCsKeAh4BpETG1rBpzJLCo/T3XSFE3RiNifERMLPuMp7qRerz9PddI0V+MRsSWJQaJiAOpViJ8okxH7o6IfcojRUcDfxya3mskqBuj5XG4SaV+LNVqco6jaooy7l0FPJmZFzVsWgTMKZ/nsH5cXAQcXc73+wCvlnH0dmBmRGxTXtA9s9RJg9KsGC2xuXlpcxKwL/BEWw5Cw9oAYrQ/3tt3uI6bqRQR11P9ojMpIrqoVsyYEBEnlq/cTLXUIFRvgZ9PdRE5Cpifmf8s7ZxEddIeDVydmUvadhAa1poRo+URuFsiAqr/h9dl5m3tOwoNZzVjdDJwe0SsA17inY8PnUC1Stc44C+lSIPWpBjdvNSPpTrX3wlc0Z4j0AiwL1WsPRYRj5S6HwLnARkRx1H9cDSrbLuVaqn2pVTLtR8DkJkrI+InVDdFAOc0vFtRGoymxCiwK3BZGWM3A87LTJNKaoZaMRoR21M96r4VsC4iTgWmZ+Zq7+0726ieHh9HlCRJkiRJUj2bxONvkiRJkiRJ6iwmlSRJkiRJklSbSSVJkiRJkiTVZlJJkiRJkiRJtZlUkiRJkiRJUm0mlSRJkiRJklTbmKHugCRJUqeLiGuBNzLz2Ia6zwM3A7tl5vIh65wkSdIQcaaSJEnS+zsZOCQiDgSIiC2AK4DTm5lQiojRzWpLkiSp1Ub19PQMdR8kSZI6XkTMAn4B7AacCeyRmQdHxGbAPOA4YGvgTuCEzFxVtiXwOWAL4JGy7cnS5u+AV4FdgP2AQ4EJwPnAjmXbhZn5y7YdqCRJ0kZyppIkSdJGyMzfA4uB64G5wPFl02lUyaD9qRJBrwG/atj1z8A0YHvgceC3fZqeDfwYmAjcD8wHjsvMicAngXtacDiSJEmD5kwlSZKkjRQR2wHPAGdk5iWl7mngO5l5T/n7FGApMC4z1/XZfxLwCjAhM18rM5Xe7POupmXAWcCNmdndjuOSJEkaCF/ULUmStJEy8+WI+BewpKF6J+BPEdGYQOoBJkfEK8C5wBHAJKD3O5OoZjQBvNjnn/kacAZwfkQ8CvwgMx9s7pFIkiQNnkklSZKkwekCZm8o8RMRxwCHAAcAzwPbUs1UGtXwtXdMGy/tHBYRY4FTgBuAqa3puiRJ0sD5TiVJkqTBuRT4eUTsBBARkyPisLJtIvAG8G9gS+Bn79VQRIyLiNkRsVVmvgV0A2tb13VJkqSBM6kkSZI0OBcBtwF3RUQ3cB/w6bJtPrCslCVl2/uZAzwfEaupVpQ7quk9liRJagJf1C1JkiRJkqTanKkkSZIkSZKk2kwqSZIkSZIkqTaTSpIkSZIkSarNpJIkSZIkSZJqM6kkSZIkSZKk2kwqSZIkSZIkqTaTSpIkSZIkSarNpJIkSZIkSZJqM6kkSZIkSZKk2v4PFmSEvD5hGmIAAAAASUVORK5CYII=\n",
"text/plain": [
"<Figure size 1440x720 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"### type your answer here\n",
"df_can.sort_values(['Total'],axis=0,inplace=True)\n",
"df_least5 = df_can.head()\n",
"df_least5 = df_least5[years].transpose()\n",
"all(isinstance(index, int) for index in df_least5.index)\n",
"df_least5.index = df_least5.index.map(int)\n",
"df_least5.plot(kind='area',alpha=0.45,stacked= True,figsize=(20,10))\n",
"plt.title('Immigration Trend of 5 Countries with Least Contribution to Immigration')\n",
"plt.ylabel('Number of Immigrants')\n",
"plt.xlabel('Years')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Double-click __here__ for the solution.\n",
"<!-- The correct answer is:\n",
"\\\\ # get the 5 countries with the least contribution\n",
"df_least5 = df_can.tail(5)\n",
"-->\n",
"\n",
"<!--\n",
"\\\\ # transpose the dataframe\n",
"df_least5 = df_least5[years].transpose() \n",
"df_least5.head()\n",
"-->\n",
"\n",
"<!--\n",
"df_least5.index = df_least5.index.map(int) # let's change the index values of df_least5 to type integer for plotting\n",
"df_least5.plot(kind='area', alpha=0.45, figsize=(20, 10)) \n",
"-->\n",
"\n",
"<!--\n",
"plt.title('Immigration Trend of 5 Countries with Least Contribution to Immigration')\n",
"plt.ylabel('Number of Immigrants')\n",
"plt.xlabel('Years')\n",
"-->\n",
"\n",
"<!--\n",
"plt.show()\n",
"-->"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"**Question**: Use the artist layer to create an unstacked area plot of the 5 countries that contributed the least to immigration to Canada **from** 1980 to 2013. Use a transparency value of 0.55."
]
},
{
"cell_type": "code",
"execution_count": 57,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 0, 'Years')"
]
},
"execution_count": 57,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1440x720 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"### type your answer here\n",
"ax = df_least5.plot(kind='area',alpha=0.45,stacked= True,figsize=(20,10))\n",
"ax.set_title('Immigration Trend of Least 5 Countries')\n",
"ax.set_ylabel('Number of Immigrants')\n",
"ax.set_xlabel('Years')"
]
},
{
"cell_type": "markdown",
"metadata": {
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},
"source": [
"Double-click __here__ for the solution.\n",
"<!-- The correct answer is:\n",
"\\\\ # get the 5 countries with the least contribution\n",
"df_least5 = df_can.tail(5)\n",
"-->\n",
"\n",
"<!--\n",
"\\\\ # transpose the dataframe\n",
"df_least5 = df_least5[years].transpose() \n",
"df_least5.head()\n",
"-->\n",
"\n",
"<!--\n",
"df_least5.index = df_least5.index.map(int) # let's change the index values of df_least5 to type integer for plotting\n",
"-->\n",
"\n",
"<!--\n",
"ax = df_least5.plot(kind='area', alpha=0.55, stacked=False, figsize=(20, 10))\n",
"-->\n",
"\n",
"<!--\n",
"ax.set_title('Immigration Trend of 5 Countries with Least Contribution to Immigration')\n",
"ax.set_ylabel('Number of Immigrants')\n",
"ax.set_xlabel('Years')\n",
"-->"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
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}
},
"source": [
"# Histograms<a id=\"8\"></a>\n",
"\n",
"A histogram is a way of representing the *frequency* distribution of numeric dataset. The way it works is it partitions the x-axis into *bins*, assigns each data point in our dataset to a bin, and then counts the number of data points that have been assigned to each bin. So the y-axis is the frequency or the number of data points in each bin. Note that we can change the bin size and usually one needs to tweak it so that the distribution is displayed nicely."
]
},
{
"cell_type": "markdown",
"metadata": {
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},
"source": [
"**Question:** What is the frequency distribution of the number (population) of new immigrants from the various countries to Canada in 2013?"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
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"new_sheet": false,
"run_control": {
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}
},
"source": [
"Before we proceed with creating the histogram plot, let's first examine the data split into intervals. To do this, we will us **Numpy**'s `histrogram` method to get the bin ranges and frequency counts as follows:"
]
},
{
"cell_type": "code",
"execution_count": 61,
"metadata": {
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},
"outputs": [
{
"data": {
"text/plain": [
"Country\n",
"India 33087\n",
"China 34129\n",
"United Kingdom of Great Britain and Northern Ireland 5827\n",
"Philippines 29544\n",
"Pakistan 12603\n",
"Name: 2013, dtype: int64"
]
},
"execution_count": 61,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# let's quickly view the 2013 data\n",
"df_can.sort_values(['Total'],ascending=False,axis=0,inplace=True)\n",
"df_can['2013'].head()"
]
},
{
"cell_type": "code",
"execution_count": 62,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
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}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[178 11 1 2 0 0 0 0 1 2]\n",
"[ 0. 3412.9 6825.8 10238.7 13651.6 17064.5 20477.4 23890.3 27303.2\n",
" 30716.1 34129. ]\n"
]
}
],
"source": [
"# np.histogram returns 2 values\n",
"count, bin_edges = np.histogram(df_can['2013'])\n",
"\n",
"print(count) # frequency count\n",
"print(bin_edges) # bin ranges, default = 10 bins"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
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}
},
"source": [
"By default, the `histrogram` method breaks up the dataset into 10 bins. The figure below summarizes the bin ranges and the frequency distribution of immigration in 2013. We can see that in 2013:\n",
"* 178 countries contributed between 0 to 3412.9 immigrants \n",
"* 11 countries contributed between 3412.9 to 6825.8 immigrants\n",
"* 1 country contributed between 6285.8 to 10238.7 immigrants, and so on..\n",
"\n",
"<img src=\"https://ibm.box.com/shared/static/g54s9q97mrjok0h4272o7g09cyigei0v.jpg\" align=\"center\" width=800>"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"We can easily graph this distribution by passing `kind=hist` to `plot()`."
]
},
{
"cell_type": "code",
"execution_count": 63,
"metadata": {
"button": false,
"collapsed": false,
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},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 576x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"df_can['2013'].plot(kind='hist', figsize=(8, 5))\n",
"\n",
"plt.title('Histogram of Immigration from 195 Countries in 2013') # add a title to the histogram\n",
"plt.ylabel('Number of Countries') # add y-label\n",
"plt.xlabel('Number of Immigrants') # add x-label\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"In the above plot, the x-axis represents the population range of immigrants in intervals of 3412.9. The y-axis represents the number of countries that contributed to the aforementioned population. \n",
"\n",
"Notice that the x-axis labels do not match with the bin size. This can be fixed by passing in a `xticks` keyword that contains the list of the bin sizes, as follows:"
]
},
{
"cell_type": "code",
"execution_count": 64,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 576x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# 'bin_edges' is a list of bin intervals\n",
"count, bin_edges = np.histogram(df_can['2013'])\n",
"\n",
"df_can['2013'].plot(kind='hist', figsize=(8, 5), xticks=bin_edges)\n",
"\n",
"plt.title('Histogram of Immigration from 195 countries in 2013') # add a title to the histogram\n",
"plt.ylabel('Number of Countries') # add y-label\n",
"plt.xlabel('Number of Immigrants') # add x-label\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"*Side Note:* We could use `df_can['2013'].plot.hist()`, instead. In fact, throughout this lesson, using `some_data.plot(kind='type_plot', ...)` is equivalent to `some_data.plot.type_plot(...)`. That is, passing the type of the plot as argument or method behaves the same. \n",
"\n",
"See the *pandas* documentation for more info http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.plot.html."
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"We can also plot multiple histograms on the same plot. For example, let's try to answer the following questions using a histogram.\n",
"\n",
"**Question**: What is the immigration distribution for Denmark, Norway, and Sweden for years 1980 - 2013?"
]
},
{
"cell_type": "code",
"execution_count": 92,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>1980</th>\n",
" <th>1981</th>\n",
" <th>1982</th>\n",
" <th>1983</th>\n",
" <th>1984</th>\n",
" <th>1985</th>\n",
" <th>1986</th>\n",
" <th>1987</th>\n",
" <th>1988</th>\n",
" <th>1989</th>\n",
" <th>...</th>\n",
" <th>2004</th>\n",
" <th>2005</th>\n",
" <th>2006</th>\n",
" <th>2007</th>\n",
" <th>2008</th>\n",
" <th>2009</th>\n",
" <th>2010</th>\n",
" <th>2011</th>\n",
" <th>2012</th>\n",
" <th>2013</th>\n",
" </tr>\n",
" <tr>\n",
" <th>Country</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",
" <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",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>Denmark</th>\n",
" <td>272</td>\n",
" <td>293</td>\n",
" <td>299</td>\n",
" <td>106</td>\n",
" <td>93</td>\n",
" <td>73</td>\n",
" <td>93</td>\n",
" <td>109</td>\n",
" <td>129</td>\n",
" <td>129</td>\n",
" <td>...</td>\n",
" <td>89</td>\n",
" <td>62</td>\n",
" <td>101</td>\n",
" <td>97</td>\n",
" <td>108</td>\n",
" <td>81</td>\n",
" <td>92</td>\n",
" <td>93</td>\n",
" <td>94</td>\n",
" <td>81</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Norway</th>\n",
" <td>116</td>\n",
" <td>77</td>\n",
" <td>106</td>\n",
" <td>51</td>\n",
" <td>31</td>\n",
" <td>54</td>\n",
" <td>56</td>\n",
" <td>80</td>\n",
" <td>73</td>\n",
" <td>76</td>\n",
" <td>...</td>\n",
" <td>73</td>\n",
" <td>57</td>\n",
" <td>53</td>\n",
" <td>73</td>\n",
" <td>66</td>\n",
" <td>75</td>\n",
" <td>46</td>\n",
" <td>49</td>\n",
" <td>53</td>\n",
" <td>59</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Sweden</th>\n",
" <td>281</td>\n",
" <td>308</td>\n",
" <td>222</td>\n",
" <td>176</td>\n",
" <td>128</td>\n",
" <td>158</td>\n",
" <td>187</td>\n",
" <td>198</td>\n",
" <td>171</td>\n",
" <td>182</td>\n",
" <td>...</td>\n",
" <td>129</td>\n",
" <td>205</td>\n",
" <td>139</td>\n",
" <td>193</td>\n",
" <td>165</td>\n",
" <td>167</td>\n",
" <td>159</td>\n",
" <td>134</td>\n",
" <td>140</td>\n",
" <td>140</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>3 rows × 34 columns</p>\n",
"</div>"
],
"text/plain": [
" 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 ... \\\n",
"Country ... \n",
"Denmark 272 293 299 106 93 73 93 109 129 129 ... \n",
"Norway 116 77 106 51 31 54 56 80 73 76 ... \n",
"Sweden 281 308 222 176 128 158 187 198 171 182 ... \n",
"\n",
" 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 \n",
"Country \n",
"Denmark 89 62 101 97 108 81 92 93 94 81 \n",
"Norway 73 57 53 73 66 75 46 49 53 59 \n",
"Sweden 129 205 139 193 165 167 159 134 140 140 \n",
"\n",
"[3 rows x 34 columns]"
]
},
"execution_count": 92,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# let's quickly view the dataset \n",
"df_can.loc[['Denmark', 'Norway', 'Sweden'], years]"
]
},
{
"cell_type": "code",
"execution_count": 66,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
},
"scrolled": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7fdcf2bcd668>"
]
},
"execution_count": 66,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# generate histogram\n",
"df_can.loc[['Denmark', 'Norway', 'Sweden'], years].plot.hist()"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"That does not look right! \n",
"\n",
"Don't worry, you'll often come across situations like this when creating plots. The solution often lies in how the underlying dataset is structured.\n",
"\n",
"Instead of plotting the population frequency distribution of the population for the 3 countries, *pandas* instead plotted the population frequency distribution for the `years`.\n",
"\n",
"This can be easily fixed by first transposing the dataset, and then plotting as shown below.\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 67,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
},
"scrolled": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th>Country</th>\n",
" <th>Denmark</th>\n",
" <th>Norway</th>\n",
" <th>Sweden</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>1980</th>\n",
" <td>272</td>\n",
" <td>116</td>\n",
" <td>281</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1981</th>\n",
" <td>293</td>\n",
" <td>77</td>\n",
" <td>308</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1982</th>\n",
" <td>299</td>\n",
" <td>106</td>\n",
" <td>222</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1983</th>\n",
" <td>106</td>\n",
" <td>51</td>\n",
" <td>176</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1984</th>\n",
" <td>93</td>\n",
" <td>31</td>\n",
" <td>128</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
"Country Denmark Norway Sweden\n",
"1980 272 116 281\n",
"1981 293 77 308\n",
"1982 299 106 222\n",
"1983 106 51 176\n",
"1984 93 31 128"
]
},
"execution_count": 67,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# transpose dataframe\n",
"df_t = df_can.loc[['Denmark', 'Norway', 'Sweden'], years].transpose()\n",
"df_t.head()"
]
},
{
"cell_type": "code",
"execution_count": 68,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 720x432 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# generate histogram\n",
"df_t.plot(kind='hist', figsize=(10, 6))\n",
"\n",
"plt.title('Histogram of Immigration from Denmark, Norway, and Sweden from 1980 - 2013')\n",
"plt.ylabel('Number of Years')\n",
"plt.xlabel('Number of Immigrants')\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Let's make a few modifications to improve the impact and aesthetics of the previous plot:\n",
"* increase the bin size to 15 by passing in `bins` parameter\n",
"* set transparency to 60% by passing in `alpha` paramemter\n",
"* label the x-axis by passing in `x-label` paramater\n",
"* change the colors of the plots by passing in `color` parameter"
]
},
{
"cell_type": "code",
"execution_count": 69,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
},
"scrolled": false
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 720x432 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# let's get the x-tick values\n",
"count, bin_edges = np.histogram(df_t, 15)\n",
"\n",
"# un-stacked histogram\n",
"df_t.plot(kind ='hist', \n",
" figsize=(10, 6),\n",
" bins=15,\n",
" alpha=0.6,\n",
" xticks=bin_edges,\n",
" color=['coral', 'darkslateblue', 'mediumseagreen']\n",
" )\n",
"\n",
"plt.title('Histogram of Immigration from Denmark, Norway, and Sweden from 1980 - 2013')\n",
"plt.ylabel('Number of Years')\n",
"plt.xlabel('Number of Immigrants')\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Tip:\n",
"For a full listing of colors available in Matplotlib, run the following code in your python shell:\n",
"```python\n",
"import matplotlib\n",
"for name, hex in matplotlib.colors.cnames.items():\n",
" print(name, hex)\n",
"```"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"If we do no want the plots to overlap each other, we can stack them using the `stacked` paramemter. Let's also adjust the min and max x-axis labels to remove the extra gap on the edges of the plot. We can pass a tuple (min,max) using the `xlim` paramater, as show below."
]
},
{
"cell_type": "code",
"execution_count": 71,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"image/png": 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6AM+H7T8Nf87VpqydnPYC7giC4MkgCN7FfxFtHZ1ZOP29+J67M/CHKeu7LvUC3gqC4OYgCN4IgmAO/tBbfc3GXwEblT6crQ/C/+2hqnftFfwpGr/Cn7dVFi7zMnyvUao3Lpv1OdVG+6YWGF6xulfa+8nndhGNI+/7jUyCIFgZJnfr4M+5ezxyJKwN/rB7VKrNUtv2K8A+4VGWlIPw2156b3BqmRVpn8Oy2mI0xlyF3zf0z5DcpWI4yBgTzbMOxR8Wf6u2eWfJ4E/jqFGiEzxjzL7GmJHG34tmC2NMP/wv2lSC9il+RelvjGkfSRauB84ODy90Ncacib/E+TqAcEf1FPB3Y0zvcKd8N7A+df/S/BT/i/FsY8w2YUy3ZTFdQ9X6Xlqwf+LPRxhrjNkl7JUbw8/na9TmI2ATY8xpxpitjTGnAL9PqzM//H9EeEhrvRrmFYf2fRh/bsl4Y8yvjDF74HtkPsefqN8U1jXGdDDGdAzbfzj+cOLnwAiAIAi+x7fDdcaY4caYbsaY7saY440xf2miuKJysq0FQXATvhfqCWPMbxoTUBAEK/Dnx52XNmoq/hDaw8aYX4eHW8fiL/C4M4tZT8Wfr1QMvBkpG4L/sbEgUvcj4CRjzM7GmN3w5wZm+iEzBn9I+XT8bRzq6yNgZ2PMkWH7/xF/gUR93YL/sr7W+HubHU319qvGGPOYMeY8Y8w+xpgtjTH7Ag/he32fjlSdiv9h8mHkSz3VdtNTh6WzWZ/D3qMn8d8NfcPvhnvxJ8aT7XyaSbPuN4wx7Yw/ZSLVS7ZFOLxFpM5BxpjfhPvl3vjbg6zL2j3QjwNDjTFDjDFbGX/I9nb8IeN5kfdWht+edjXG9MX3Jo8PgmA+jWSMuRV/9Gcw8FG4L+wQ7XDAb7cbAPeEn+8R+Dtq3B5EbuVmjNkxbJMOwDqpNgqT29RN188K38cWxt+K5VF87jKxtjgTneDhj+Xvg7/Meg7+GP0/8Y2cOt9gBH7nvSSsB/6DuQy/Ur2P/7V9URAE0XvoDMWfwPsM/qTWz/ErY63nqIS/Dk/G/5qYjT/H4Hyq/yLJlWzeS4sT9o71x/dOzMKfiH0rPumr6zP4N76b/zr8uSXH4zfWaJ1Z+GTgLvyhqlE1zC7v7RsEwY/AwfhkZhq+l/oH/EncTXVPwxPx28yn+C/DQcDf8Lf1iJ7TczX+BOzT8efQvRwOL2iiuKrkclsLguD/AX/Gnzd1JIAx5grTsCcFjMHvj6LzD/BXlX+ITz5m4Xf4B0XbsxZT8UnaS5EeoKn4w7Tph5aH4vf9M/Fflv9h7XPEUjEtAf6N/9FU7ZCy8TervaKWmO7GJ1T343sseuJPJK+XIAjewK9vx+O314vw61Bd/oPvMZmAPxT6L3zPfO/ouY748+7S2ylj22W5Pv8Wf+7cv/Hb4uekfRHnc7uIxNDc+40j+PlwOfh98Fv4W8GkrI/fj3+A/9w+B/YOguDzSJ3r8Fdnp/a54/HbzeGpXr4wiT4Qf9rBq/iE6Fn8hSW58Ef8j6+J+P1g6u+2VIUgCBbi23cH/CkTo8O/S9LmNQnfDmfiDyun2qhjOP5H/Lo/Fb/feBh/+HjvIAg+oxbG71ekscJDeR/ir3qq89el5J4xZkv8DvKIIAieynM4knDGmLFAhyAIcnHoNpaMMTOBGUEQnJ1WvjX+dhr7B0GQ8ZCXiORXS7rIIlaMMb3w53G8he9+/xP+/JIH8hfVL4vxj7r5HH84dUv8/dA+xf9SE2ky4Xk1/fAXMCSO8U8jORJ/XtoJGaoMAMYquROJLyV4DVeIv/fNtvhzOt7D38T03VqnklzaGH8FUyf8lWev4O8vtCqvUUnihYeCOuU7jia0FH91+R+DIJiXPjI8ZC0iMaZDtCIiIiIJk/SLLERERER+cZTgiYiIiCRMks/B07FnERERaUly9tCDJCd4LF68uNHzKC0tpawsm9tQNb04xeIe+h/l5fV6LGWT+POI/rFpkzh9PoolvnGAYolzHKBY4hwHJDeWjh071l2pHnSIVkRERCRhlOCJiIiIJIwSPBEREZGESfQ5eCIiIpI7QRBQXl5OZWUlxuTseoB6Wbp0KatWxeN+9vWNJQgCCgoKKCkpafL2U4InIiIiWSkvL6dVq1YUFeUvfSgqKqKwsDBvy49qSCwVFRWUl5ez7rrrNlFUng7RioiISFYqKyvzmtwlQVFREZWVlU2+HCV4IiIikpV8HZZNmuZoRyV4IiIiklfLli3jrLPOYt9996VPnz4MHjyYefPm5Wz+06dPZ9asWTmbX0ugflYRERHJmyAIOO200xg0aBB33nknAO+99x5lZWVss802OVnGq6++Sps2bdhrr72qjauoqEjkYefkvSMRERFpMV555RVatWrFKaecUlW20047EQQBV199NS+88ALGGM455xyOPPJIXnnlFf7+978zduxYAC655BJ22WUXjjvuOHr27MmgQYOYMmUKFRUV3H333RQXF/PQQw9RWFjIY489xjXXXMO4cePYcMMNee+99+jevTvPPfccTz75JBtvvDGVlZXsv//+PPXUU7Rr1y5fzdJozZLgWWs3B8YCHYBKYLRz7jZrbTtgPNAFWABY59zXGaYfAlwaDl7jnHuwOeIWERGRpvXRRx+x8847VyufNGkSs2fPZsqUKSxfvpz+/fuz99571zm/du3aMXnyZB544AHuuusubrrpJgYPHkybNm343e9+B8C4ceP45JNPGD9+PIWFhWywwQZMmDCBM844g//+97/suOOOLTq5g+Y7B68COM85twOwN/AHa+2OwEXA8865rsDz4fBawiTwcqAn0AO43Fq7UTPFLSIiInkwc+ZMjjrqKAoLC9lkk03Ye++9eeedd+qc7rDDDgNgl112YeHChTXWGzBgQNUtTo477jgeffRRAB555BGstTl4B/nVLAmec26Jc+7N8PUK4AOgE3AkkOqNexA4KsPkhwBTnHPLw969KcChTR+1iIiINLXtttuOd999t1p5EAQZ6xcVFa01Lv1Gw8XFxQAUFhayZs2aGpfbunXrqtedOnVik0024eWXX+att97igAMOqNd7iKNmPwfPWtsF2B2YAWzqnFsCPgm01rbPMEknIJqCLwrLMs17GDAsnB+lpaWNjreoqCgn88mFOMViCgwlJSX5DiNWbaJYMotLLHGJAxRLnOMAxVJbHEuXLs35BQl9+vThL3/5C+PGjWPw4MEAvPXWW7Rr146nnnqKE044ga+//pqZM2dy5ZVX8tNPPzFnzhzWrFnDqlWrePnll9l7770pKirCGENhYWHVDYiNMRQVFbH++uuzYsWKqtgLCgqq6qWcfPLJnHPOOQwaNKgqScy2beqruLi4yT/XZk3wrLXrAY8B5zrnvsuyCzTTzWIypvXOudHA6FSdsrKyBsUZVVpaSi7mkwtxiiWo9I+rybeKiorYtEmcPh/FEt84QLHEOQ5QLLXFsWrVqiZ5isS9997L5Zdfzu23305xcTGdO3fmyiuvZMWKFfTt2xdjDBdffDHt2rWjqKiIAQMG0KdPH7baait22mkn1qxZQ0VFBUEQVL1es2YNQRBQUVHBAQccwJlnnskzzzzDNddcQ2VlZVW9lH79+vHDDz8waNCgtcprU1RUlHXdqFWrVlX7XDt27Fjv+dSm2RI8a20rfHL3T+fchLB4qbV2s7D3bjNgWYZJFwF9IsOdgRebMlYRERFpPh06dODuu++uVj5y5EhGjhxZrfzSSy/l0ksvrVY+Y8aMqte77rpr1Xl122yzDc8991zVuJ49e1ab9v3332fHHXdk2223bdB7iJvmuorWAGOAD5xzN0dGPQkMAW4I/z+RYfLJwHWRCysOBkY0YbgiIiLyCzJq1CjGjh3LqFGj8h1KzjRXD96vgcHAu9bat8Oyi/GJnbPWngZ8BgwCsNbuCfzOOXe6c265tfZqIHUL6qucc8ubKW4RERFJuOHDhzN8+PB8h5FTzZLgOedeJvO5dAD9MtR/HTg9MnwfcF/TRCciIiKSLHoWrYiIiEjCKMETERERSRgleCIiIiIJ0+w3OhYRERFpqM0224ztt9+eiooKCgsLGTRoEGeccQYFBfHos+ratStz5szJdxhK8ERERKRhNpj2cE7n922vE+usU1JSwpQpUwAoKyvjD3/4AytWrOD888/PaSz1FQRBjY9Xy4d4pLsiIiIi9VRaWsqNN97I/fffX/UUi6uvvpr+/ftz4IEH8tBDDwEwffp0Bg4cyBlnnEGvXr0YPnx4VTLWs2dPrr/+eg4//HAOO+ww3n33XU488UT23Xdfxo4dC8APP/yAtZZDDjmEfv36MXnyZAA+++wzevfuzYgRIzjkkENYvHhxVWzLly/n8MMPX+sGy81JPXgiIiLSYm255ZYEQUBZWRmTJ0+mbdu2TJo0iVWrVnHUUUfRu3dvAN577z2mTp1Khw4dOPLII5k1axY9evQA/GPCnnrqKS6//HL+9Kc/8fjjj7Nq1Sr69u3LKaecQnFxMWPGjKFt27ZVidvBBx8MwLx587j55pu5/vrrq2L68ssvGTp0KBdeeCG9evVq/kZBCZ6IiIi0cKneuJdeeokPPviAp59+GoAVK1Ywf/58WrVqxW677Vb1vNfu3buzcOHCqgQvlaztsMMOrFy5kvXWW4/11luP4uJivv32W1q3bs0NN9zAjBkzMMbwxRdf8OWXXwLQuXNn9thjj6pYKioqOO6447j22mvZZ599mq0N0inBExERkRbr008/paCggNLSUgCuueYa+vTps1ad6dOns84661QNFxYWUlFRUTVcXFwMgDFmrXoFBQWsWbOGCRMm8NVXX/HMM8/QqlUrevbsyapVqygsLKR169ZrLauwsJCdd96ZF198Ma8Jns7BExERkRbpq6++4qKLLmLo0KEYY+jduzdjx47lp59+Avzh05UrVzZ6OStWrKC0tJRWrVrxyiuvsGjRohrrGmO4+eabmTdvXl6fbasePBEREWkxysvLOeigg6pukzJw4ECGDRsGwIknnsjChQs59NBDCYKAdu3acd99jX/S6THHHMOQIUM47LDD6N69O9tuu22t9QsLC7njjjs49dRTWW+99Tj11FMbHUN9mThd0ptjQfRqloYqLS2lrKwsB+E0XpxicQ/9j/Ly8nyHwZ9H9I9Nm8Tp81Es8Y0DFEuc4wDFUlscK1eurHZIsrkVFRWtdXg1nxoaS6Z2DM8PNLmJTIdoRURERBJHCZ6IiIhIwijBExEREUkYJXgiIiIiCaMET0RERCRhlOCJiIiIJIwSPBEREWkxNt10U6688sqq4bvuuou//e1veYwonnSjYxEREWmQsffMzOn8TjmjR511iouLeeaZZzj77LNp165dvZdRUVFBUVHy0x/14ImIiEiLUVhYyEknncTo0aOrjVu0aBHWWg488ECstXz++ecAnHvuuVxxxRUMHDiQa6+9ln79+vHtt98SBAHdu3fnX//6FwBnn30206ZNY+HChRx99NEccsghHHLIIcyaNatq/OTJk6uWd9ZZZ/Hss882w7uuPyV4IiIi0qKceuqpTJw4ke+++26t8ksuuYSBAwfy3HPPccwxxzBy5MiqcZ988gnjx4/n8ssvZ88992TWrFl89NFHbLnllsyc6Xsi33zzTfbYYw9KS0sZN24ckydP5s477+Syyy4D/KPQxo8fD8B3333HrFmzOOCAA5rpXdePEjwRERFpUdq2bcvAgQMZM2bMWuVvvPEGRx99NADHHntsVeIGMGDAAAoLCwHo2bMnM2bM4LXXXuOUU07hgw8+YMmSJWy00Ua0adOGn376iQsuuIB+/fpx5pln8vHHHwOwzz77sGDBAsrKynj88ccZMGBAbA/3KsETERGRFuf000/nkUceYeXKlTXWMebnR7tGn/2aSvBmzpzJPvvsw8Ybb8zTTz9Njx7+HMB77rmHTTbZhClTpvDMM8/w008/VU177LHHMmHCBJxzHH/88U3wznJDCZ6IiIi0OBtttBGHH34448aNqyrbc889eeKJJwCYMGFCVcKWrlOnTixfvpz58+ez5ZZb0qNHD+666y569uwJ+MOv7du3p6CggMcee4w1a9ZUTWut5d577wVg++23b6o8y9r0AAAgAElEQVS312hK8ERERKRFOvPMM1m+fHnV8NVXX8348eM58MADeeyxx7jqqqtqnHb33Xdn6623BqBHjx588cUX7LXXXgAMGTKERx99lAEDBvDJJ5+s1fu3ySab0LVrV6y1TfSuciOeB45FREQk9rK5rUmuzZ8/n4qKCsAnW/Pmzasat/nmm1ddERt16623Viu7/fbbq17vtddeLFq0qGp466235rnnnqsaHjFiRNXrH3/8kfnz53PUUUc17o00MfXgiYiIiGRh2rRp9OrVi6FDh7L++uvnO5xaqQdPREREJAu9evWquide3KkHT0RERCRhmqUHz1p7HzAAWOac2yksGw90C6tsCHzjnNstw7QLgBXAGqDCObdnc8QsIiIi0lI11yHaB4BRwNhUgXPuuNRra+3fgG9rmb6vc66syaITERERSZBmOUTrnJsGLM80zlprAAuMyzReREREROonDhdZ7A8sdc7NqWF8ADxrrQ2Au51z1Z8uHLLWDgOGATjnKC0tbXRwRUVFOZlPLsQpFlNgKCkpyXcYsWoTxZJZXGKJSxygWOIcByiW2uJYunRp3h/NdcsttzBx4kQKCgooKCjgr3/9K3vssUdO5r3VVlsxf/78ek3TkPYoLi5u8s81DgneCdTee/dr59xia217YIq19sOwR7CaMPlLJYBBWVnjj+qWlpaSi/nkQpxiCSoDysvL8x0GFRUVsWmTOH0+iiW+cYBiiXMcoFhqi2PVqlVVz3MFGP3ZszldzrAtDq51/Ouvv171+LDi4mKWL1/O6tWrq+6Llwv1mVdRUVGDlr1q1apqn2vHjh3rPZ/a5PUqWmttEXAMML6mOs65xeH/ZcBEoPnvqigiIiJ5t2zZMtq1a0dxcTEA7dq1Y8mSJZx++ukATJ48mW222YbVq1dTXl7OPvvsA8CCBQs46aSTOPTQQzn66KOZO3cuAJ999hmHH344/fv358Ybb1xrWXfeeSf9+/fnwAMP5KabbgJg4cKF9O7dmwsuuIC+fftireXHH39srrdfL/m+TcqBwIfOuUWZRlpr21hr26ZeAwcD7zVjfCIiIhITvXv3ZvHixey3336MGDGCV199lZ133pn33vOpwYwZM+jWrRvvvPMOb731FrvvvjsAF154IVdffTX/+c9/GDlyZNWTKS677DJOOeUUJk2aRPv27auW89JLLzF//nyefvppnn32Wf73v//x2muvAf5JGkOGDOGFF15ggw02YNKkSc3cCtlprtukjAP6AKXW2kXA5c65McDxpB2etdZ2BO51zvUHNgUmhs97KwIeds79pzliFhERkXhp06YNU6ZM4ZVXXmH69OmcddZZjBgxgi5dujBnzhzefvtthg0bxmuvvcaaNWvo0aMHP/zwA2+88QZnnnlm1XxWr14NwKxZs7jnnnsAOPbYY7n22msBn+C99NJLHHywP2S8cuVK5s+fT6dOndh8883ZaaedANhll11YuHBhczZB1polwXPOnVBD+akZyhYD/cPXnwC7NmlwIiIi0mIUFhay7777su+++7L99tvzr3/9i549ezJ16lSKiorYf//9Offcc6msrGTkyJFUVlay/vrrM2XKlIzzM8ZUKwuCgOHDhzN48OC1yhcuXFh1eDgVy5o1a3L7BnMk34doRURERLIyd+5cPvnkk6rh2bNn07lzZ3r27Mm9997LHnvswcYbb8zXX3/N3Llz6datG23btmXzzTfnqaeeAnzyNnv2bAD22msvnnjiCQAmTJhQNd8+ffowfvx4fvjhBwCWLFkSi4td6iMOV9GKiIiI1GnlypWcd955fPvttxQVFdGlSxduvPFG1l13XcrKyth7770B2HHHHVm2bFlV79yoUaMYMWIEt912GxUVFRx55JF0796dq666ij/84Q+MGTOG/v37Vy2nd+/ezJkzhyOOOAKA1q1bc/vtt691BXHcmSAI8h1DUwkWL17c6JnE5RJ1iFcs7qH/xeI2KX8e0T82bRKnz0exxDcOUCxxjgMUS21xrFy5ktatW+c1lobemqQpNDSWTO0Y3ial+vHiBtIhWhEREZGEUYInIiIikjBK8EREREQSRgmeiIiIZCXB5+03q+ZoRyV4IiIikpWCgoLYXODQUlVUVFBQ0PTpl26TIiIiIlkpKSmhvLycVatWZbxBcHMoLi5m1apVeVl2uvrGEgQBBQUFlJSUNGFUnhI8ERERyYoxhnXXXTevMcTl1jEQr1jS6RCtiIiISMIowRMRERFJGCV4IiIiIgmjBE9EREQkYZTgiYiIiCSMEjwRERGRhFGCJyIiIpIwSvBEREREEkYJnoiIiEjCKMETERERSRgleCIiIiIJowRPREREJGGU4ImIiIgkjBI8ERERkYRRgiciIiKSMErwRERERBJGCZ6IiIhIwijBExEREUkYJXgiIiIiCVPUHAux1t4HDACWOed2CsuuAM4AvgyrXeycm5Rh2kOB24BC4F7n3A3NEbOIiIhIS9UsCR7wADAKGJtWfotz7qaaJrLWFgJ/Bw4CFgGzrLVPOufeb6pARURERFq6ZjlE65ybBixvwKQ9gLnOuU+cc6uBR4AjcxqciIiISMI0Vw9eTYZba08BXgfOc859nTa+E7AwMrwI6NlcwYmIiIi0RPlM8O4ErgaC8P/fgN+m1TEZpgtqmqG1dhgwDMA5R2lpaaODLCoqysl8ciFOsZgCQ0lJSb7DiFWbKJbM4hJLXOIAxRLnOECxxDkOUCzZyluC55xbmnptrb0H+HeGaouAzSPDnYHFtcxzNDA6HAzKysoaHWdpaSm5mE8uxCmWoDKgvLw832FQUVERmzaJ0+ejWOIbByiWOMcBiiXOcUByY+nYsWNO5pOSt9ukWGs3iwweDbyXodosoKu1ditr7TrA8cCTzRGfiIiISEvVXLdJGQf0AUqttYuAy4E+1trd8IdcFwBnhnU74m+H0t85V2GtHQ5Mxt8m5T7n3OzmiFlERESkpWqWBM85d0KG4jE11F0M9I8MTwKq3R9PRERERDLTkyxEREREEkYJnoiIiEjCKMETERERSRgleCIiIiIJowRPREREJGGU4ImIiIgkjBI8ERERkYRRgiciIiKSMErwRERERBJGCZ6IiIhIwjTLo8pEmsodt0ylvLw832EA8OcR/euuJCIi0gzUgyciIiKSMErwRERERBJGCZ6IiIhIwijBExEREUkYJXgiIiIiCZPVVbTW2nZAuXNupbW2ADgJWAOMc84FTRmgiIiIiNRPtj14k4Dtw9fXAJcAI4CbmiIoEREREWm4bBO8bsBb4evBwCFAH+CEJohJRERERBoh2wRvDdDKWrsTsMI59ymwHFivySITERERkQbJ9kkWzwKPAKXhf4AdgSVNEZSIiIiINFy2Cd5pwFDgJ+D+sKw9cFVTBCUiIiIiDVdngmetLQSeAn7jnFuVKnfOvdCUgYmIiIhIw9R5Dp5zbg3QtRliEREREZEcyPYii8uBO6y1nZoyGBERERFpvGzPwbsv/H+qtTZVZoDAOVeY86hEREREpMGyTfB0iDYG7rhlKuXl5fkOA4CSkpJ8hyAiIiI1yCrBc87Na+pARERERCQ3su3Bw1rbH+iNvxeeSZU7537bBHGJiIiISANldZGFtfZS4AGgNf7xZD8AhwMrmywyEREREWmQbHvwTgf6OefetdYOds6dba39J3BRNhNba+8DBgDLnHM7hWV/xSeJq4F5wFDn3DcZpl0ArMA/Lq3CObdnljGLiIiI/CJle5uUds65d8PXq621rZxzrwF9s5z+AeDQtLIpwE7OuV2Aj4ERtUzf1zm3m5I7ERERkbplm+DNs9buGL6eDZxhrT0BqNbjlolzbhqwPK3sWedcRTj4GtA5y1hEREREpBbZHqK9DP/s2feBi4FxwHrAWTmK47fA+BrGBcCz1toAuNs5NzpHyxQRERFJpGxvk/JU5PWrQJdcBWCtvQSoAP5ZQ5VfO+cWW2vbA1OstR+GPYKZ5jUMGBbGSWlpaaPjKyoqysl8csEUmNjcfy4uscQlDojXuqJY4hsHKJY4xwGKJc5xgGLJVn1uk9IVGAhs5pw7Jxwuds6919CFW2uH4C++6OecCzLVcc4tDv8vs9ZOBHoAGRO8sHcv1cMXlJWVNTS0KqWlpeRiPrkQVAaxutFxHGKJSxwAFRUVsVlX4rTexiWWuMQBiiXOcYBiiXMckNxYOnbsmJP5pGR7m5RjgOnANsCpYfGGwC0NXbC19lDg/4AjnHMZb7dirW1jrW2beg0cDDQ4oRQRERH5Jcj2IotrgIOdc6fjb1cC8DawWzYTW2vHAa8C3ay1i6y1pwGjgLb4w65vW2vvCut2tNZOCifdFHjZWvsOMBN42jn3nyxjFhEREflFyvYQ7ab4hA78RQ/R/3Vyzp2QoXhMDXUXA/3D158Au2a7HBERERHJvgfvTeDEtLJB+F41EREREYmRbHvw/oi/VclvgTbW2qeB7sAhTRaZiIiIiDRIVj14zrn3ge3xh1WvwN8Hbxfn3EdNF5qIiIiINEStPXjW2muBK51zq51z3wMPN09YIiIiItJQdfXg7Q28ba3t2RzBiIiIiEjj1ZrgOef6AX8D/m2t/Zu1Nh6PDBARERGRGtV5kYVzboy19ingH8DH1toFaeN7NVFsIiIiItIA2V5FeyywB/4ii9lNF46IiIiINFZdF1lsC9wHtME/L/bt2uqLiIiISP7VdZHF68BkoIeSOxEREZGWoa5DtPuG98ATERERkRairqtoldyJiIiItDDZPotWRERERFoIJXgiIiIiCVNjgmetfS3y+vLmCUdEREREGqu2HrztIk+uOK85ghERERGRxqvtKton+PnJFetaa6dlqqQnWYiIiIjES40JnnNuqLV2P6ALsBf+KRYiIiIiEnO13gfPOfcy8LK1dh3n3IPNFJNI1s7uNpfy8vJ8hyEiIhIrWT2L1jl3n7W2LzAY6AR8DvzDOTe1KYMTERERkfrL6jYp1trTgfHAF8AEYAnwsLX2jCaMTUREREQaIKsePOBC4CDn3DupAmvteOAx4J6mCExEREREGibbGx1vDKQ/tuwjoF1uwxERERGRxso2wXsZuNla2xrAWtsG+CswvakCExEREZGGyTbB+x2wC/CttXYp8A2wK3BmUwUmIiIiIg2T7VW0S4De1trOQEdgsXNuUZNGJiIiIiINku1FFgCESZ0SOxEREZEYy/YQrYiIiIi0EErwRERERBKmzkO01toCoA/wsnNudZNHJCIiIiKNUmeC55yrtNY+4Zxr25gFWWvvAwYAy5xzO4Vl7fBPyOgCLACsc+7rDNMOAS4NB6/Rc3FFREREapbtIdpp1tq9G7msB4BD08ouAp53znUFng+H1xImgZcDPYEewOXW2o0aGYuIiIhIYmV7Fe2nwDPW2ieAhUCQGuGcuyybGTjnpllru6QVH4k//AvwIPAi8H9pdQ4BpjjnlgNYa6fgE8VxWcYuIiIi8ouSbYK3LvB4+LpzDpe/aXiPPZxzS6y17TPU6YRPKlMWhWXVWGuHAcPC+VFaWtroAIuKinIyn1wwBYaSkpJ8hwHEJ5aCgoJYxAFgYrSu3PrB41QGlfkOA4ALO9hYtEuctmXFEt84QLHEOQ5QLNnK9kbHQ5s6kFqYDGVBhjKcc6OB0ak6ZWVljV54aWkpuZhPLgSVAeXl5fkOA4CSkpJYxFJZWRmLOABaVVTEZl2pDOLTLhUxaZc4bcuKJb5xgGKJcxyQ3Fg6duyYk/mkZH2bFGvtDtbakdbaUeFwN2vtLo1c/lJr7Wbh/DYDlmWoswjYPDLcGVjcyOWKiIiIJFZWCZ61dhAwDX9o9JSwuC1wcyOX/yQwJHw9BHgiQ53JwMHW2o3CiysODstEREREJINse/CuAg5yzv0OWBOWvQPsmu2CrLXjgFeBbtbaRdba04AbgIOstXOAg8JhrLV7WmvvBQgvrrgamBX+XZW64EJEREREqsv2Iov2+IQOfj7/LaCGc+Eycc6dUMOofhnqvg6cHhm+D7gv22WJiIiI/JJl24P3BjA4rex4YGZuwxERERGRxsq2B+8c4NnwsGoba+1kYDv8+XAiIiIiEiNZ9eA55z4Etgf+jn9k2P3Azs65OU0Ym4iIiIg0QNa3SXHOrQRewT9t4r/Oue+bKigRERERabisDtFaa7cA/gnsDXwNbGStnQGc5Jz7tAnjExEREZF6yrYH70H8hRYbOufaAxvhb1nyYFMFJiIiIiINk22CtwdwgXPuB4Dw8Oz/heUiIiIiEiPZJnivAT3SyvbE37hYRERERGKkxnPwrLVXRQbnAZOstU8DC/HPhu0PPNy04YmIiIhIfdV2kcXmacMTwv/tgVXARKCkKYISERERkYarMcFzzg1tzkBEWrqb359AeXl5vsMAoKREv73Sxenzubj0xHyHICIJl+2TLLDWtga2BdaLljvnpuc6KBERERFpuGzvg3cKMApYDfwYGRUAWzRBXCIiIiLSQNn24N0IHOucm9KUwYiIiIhI42V7m5TV+EeUiYiIiEjMZZvgjQRuttaWNmUwIiIiItJ42R6i/Ri4Cvi9tTZVZoDAOVfYFIGJiIiISMNkm+A9BIwFxrP2RRYiIiIiEjPZJngbA5c554KmDEZEREREGi/bc/DuBwY3ZSAiIiIikhvZ9uD1AIZbay8BlkZHOOd65TwqEREREWmwbBO8e8I/EREREYm5rBI859yDTR2IiIiIiORGto8q+21N45xz9+UuHBERERFprGwP0aZfYNEB2AZ4BVCCJyIiIhIj2R6i7ZteFvbq7ZDziERERESkUbLtwcvkAaAMuCA3oUhLcna3uZSXl+c7DKAk3wFUKZm8IcSiTYAjYxKHiIjkRbbn4KXfL681cDLwTc4jEhEREZFGybYHrwJIf4rF58AZuQ1HRERERBor2wRvq7ThH5xzZbkORkREREQaL9uLLD5tioVba7sB4yNFW+OfeXtrpE4f4Algflg0wTl3VVPEIyIiIpIEtSZ41toXqH5oNipwzvVr6MKdcx8Bu4XLKsQf9p2Yoep/nXMDGrocERERkV+Sunrw/lFDeSfgHPzFFrnSD5jXVL2FIiIiIr8UtSZ4zrkx0WFr7cbACPzFFeOBXB4qPR4YV8O4fay17wCLgfOdc7MzVbLWDgOGATjnKC0tbXRQRUVFOZlPLpgCQ0lJPG4LUlBQEItY4hIHxOvzWW1WxyaWuGxDBV/GZ12JS5tAfGKJSxygWOIcByiWbGV7m5T18fe7Gw78G/iVc25eroKw1q4DHIFPHtO9CWzpnPveWtsfeBzommk+zrnRwOhwMCgra/x1IKWlpeRiPrkQVAYxufccVFZWxiKWkpKSWMQB8fp8COLx+QBUVFTEYhuqVJtkFJd9XFziAMUS5zggubF07NgxJ/NJqescvHWBc4HzgBeB/WrqPWukw4A3nXNL00c4576LvJ5krb3DWluqq3hFREREMqurB28+UAjcCLwObGqt3TRawTk3NQdxnEANh2ettR2Apc65wFrbAygAvsrBMkVEREQSqa4Erxx/Fe1ZNYwP8Lc2aTBrbWvgIODMSNnvAJxzdwEDgbOstRXAj8DxzrnaruwVERER+UWr6yKLLk0dgHNuJbBxWtldkdejgFFNHYeIiIhIUqQ/Y1ZEREREWjgleCIiIiIJk+2zaEVEJEdufn9CbG7ZcnHpifkOQUSagHrwRERERBJGCZ6IiIhIwijBExEREUkYJXgiIiIiCaMET0RERCRhlOCJiIiIJIwSPBEREZGEUYInIiIikjBK8EREREQSRgmeiIiISMIowRMRERFJGCV4IiIiIgmjBE9EREQkYZTgiYiIiCSMEjwRERGRhCnKdwAiSXF2t7mUl5fnOwwAbqdzvkMQEZE8Ug+eiIiISMIowRMRERFJGCV4IiIiIgmjBE9EREQkYZTgiYiIiCSMEjwRERGRhFGCJyIiIpIwSvBEREREEkYJnoiIiEjCKMETERERSRgleCIiIiIJE4tn0VprFwArgDVAhXNuz7TxBrgN6A+sBE51zr3Z3HGKiIiItASxSPBCfZ1zZTWMOwzoGv71BO4M/4uIiIhImpZyiPZIYKxzLnDOvQZsaK3dLN9BiYiIiMRRXHrwAuBZa20A3O2cG502vhOwMDK8KCxbEq1krR0GDANwzlFaWtrowO687QWCyqDR88kFU2AoKSnJdxgAFBQUxCKWuMQBMYvFxCeWWz94nMqgMt9hxKpN4hRLUVFRTvaVSYkDFEuc4wDFkq24JHi/ds4ttta2B6ZYaz90zk2LjDcZpqmWdYWJYSo5DMrKajrim72gMqC8vLzR88mFkpKS2MRSWVkZi1ji1CZxiqUyiMfnA/Fpl7jEAfGKpaKiglzsKxurtLQ0FnGAYolzHJDcWDp27JiT+aTE4hCtc25x+H8ZMBHokVZlEbB5ZLgzsLh5ohMRERFpWfLeg2etbQMUOOdWhK8PBq5Kq/YkMNxa+wj+4opvnXNLEBEREZFq8p7gAZsCE6214ON52Dn3H2vt7wCcc3cBk/C3SJmLv03K0DzFKiIiIhJ7eU/wnHOfALtmKL8r8joA/tCccYmIiIi0VLE4B09EREREckcJnoiIiEjCKMETERERSRgleCIiIiIJowRPREREJGGU4ImIiIgkjBI8ERERkYRRgiciIiKSMErwRERERBJGCZ6IiIhIwijBExEREUkYJXgiIiIiCaMET0RERCRhlOCJiIiIJIwSPBEREZGEUYInIiIikjBK8EREREQSRgmeiIiISMIowRMRERFJGCV4IiIiIgmjBE9EREQkYZTgiYiIiCSMEjwRERGRhFGCJyIiIpIwSvBEREREEqYo3wGIiEj+3Pz+BMrLy/MdBheXnpjvEKSFiMs6C/Feb9WDJyIiIpIwSvBEREREEkYJnoiIiEjCKMETERERSZi8XmRhrd0cGAt0ACqB0c6529Lq9AGeAOaHRROcc1c1Z5wiIiIiLUm+r6KtAM5zzr1prW0LvGGtneKcez+t3n+dcwPyEJ+IiIhIi5PXQ7TOuSXOuTfD1yuAD4BO+YxJREREpKXLdw9eFWttF2B3YEaG0ftYa98BFgPnO+dm1zCPYcAwAOccpaWljY7LFBhKSkoaPZ9ciFMsBQUFsYglLnFAzGIxiiWucYBiyaSoqCgn++xcUCzxjQOg4Mt4rLMQr3ZJF4sEz1q7HvAYcK5z7ru00W8CWzrnvrfW9gceB7pmmo9zbjQwOhwMysrKGh1bUBnE5oaKJSUlsYmlsrIyFrHEqU3iFEtlEI/PB+LTLnGJAxRLJhUVFeRin50LpaWliiWmcUC89m+5XG87duyYk/mk5P0qWmttK3xy90/n3IT08c6575xz34evJwGtrLXxTJdFREREYiCvCZ611gBjgA+cczfXUKdDWA9rbQ98zF81X5QiIiIiLUu+D9H+GhgMvGutfTssuxjYAsA5dxcwEDjLWlsB/Agc75wL8hGsiIiISEuQ1wTPOfcyYOqoMwoY1TwRiYiIiLR8eT8HT0RERERySwmeiIiISMLk+xw8qYezu82NzaXhEI97EElmFywoi826cvv2nfMdgog00s3vT4jNPmXkF9/HJhZ+le8AaqYePBEREZGEUYInIiIikjBK8EREREQSRgmeiIiISMIowRMRERFJGCV4IiIiIgmjBE9EREQkYZTgiYiIiCSMEjwRERGRhFGCJyIiIpIwSvBEREREEkYJnoiIiEjCKMETERERSRgleCIiIiIJU5TvAEQk2S5YUEZ5eXm+w+D27TvnO4QqcWkTiE+73Pz+hNi0ycWlJ+Y7hNiJ0zpLSUm+I2gR1IMnIiIikjBK8EREREQSRgmeiIiISMIowRMRERFJGCV4IiIiIgmjBE9EREQkYZTgiYiIiCSMEjwRERGRhFGCJyIiIpIwSvBEREREEkYJnoiIiEjC5P1ZtNbaQ4HbgELgXufcDWnji4GxwB7AV8BxzrkFzR2niIiISEuR1x48a20h8HfgMGBH4ARr7Y5p1U4DvnbObQvcAvyleaMUERERaVnyfYi2BzDXOfeJc2418AhwZFqdI4EHw9ePAv2staYZYxQRERFpUfKd4HUCFkaGF4VlGes45yqAb4GNmyU6ERERkRYo3+fgZeqJCxpQBwBr7TBgGIBzjo4dOzYuOuDc/2v8PHKpTb4DiIhLLHGJAxRLTeIQy0X5DiBNHNoE4tcucZGL749ciUUsRw2PzToL8dl+ICafTwb57sFbBGweGe4MLK6pjrW2CNgAWJ5pZs650c65PZ1ze+ITw0b/WWvfyNW8FEty41As8Y8lLnEolnjHoVjiHccvIJacyXcP3iygq7V2K+Bz4HjgxLQ6TwJDgFeBgcBU51zGHjwRERERyXMPXnhO3XBgMvCBL3KzrbVXWWuPCKuNATa21s4F/oyOKIiIiIjUKt89eDjnJgGT0soui7wuBwY1d1wRo/O47HSKpbq4xAGKpSZxiSUucYBiySQucYBiySQucYBiyYoJAh3tFBEREUmSfF9kISIiIiI5lvdDtPlirS0BpgHF+HZ41Dl3ubV2OHAusA2wiXOurIbphwCXhoPXOOcebGQ8hcDrwOfOuQHW2gOAm4B1gDeA08JzFtOnWwO8Gw5+5pw7Ir1OPePYELgX2Al/O5rf4tujW1hlQ+Ab59xuGab9I3AG/kqge5xztzYylj8Bp4dxvAsMBVYB1+AP268B7nTO/b8apl8ff27nROfc8Hou+z5gALDMObdTWNYOGA90ARYA1jn3dWSavYDX8I/TezTDPI8DLsE/lu9p59yFjYjlr8DhwGpgHjDUOfeNtbYHPx8yMMAVzrmJGeY5Bkhdbf4xcKpz7vv6xhEZdz7wV8Jtxlq7PXA/8CvgEufcTTXMs184XQHwfRjH3Ia0SVh+Nv683goibWytHYF/Ks4a4Bzn3OQM83BjHnIAABM/SURBVKx3m9QUi7V2PBm2GWttK/z29Sv8fmesc+76DPP8L9A2HGwPzHTOHdWAOHYF7gLWw6+zJznnvrPWngRcEJl8F+BXzrm30+aZcT3Lok02xz9isgNQCYx2zt1mrR0EXAHsAPRwzr0e1u+C31Y/Cmfx/9s773irqiuPf0GxIopgQ0SxjWiiGLtiiQUdx7HGJSg21IktllGjaGw4ji1GsWcs4Bgsv7HEEYlCNLHFMsEWFGJFRRALdkFB3vyx9oXDfefc9iBPHuv7+bwPl3v33medffbeZ+21197rGUlH55SbW68NynIBfpD+LOBD/HlPyuSr1p8vBA4BOkvq2II6OQ8fNz9KSc+UNNLMdgEuxt8B3wGnSXq0oOzcdt+ALEXttgseaGAzYFjReFr0fBuUpTfedpdI93WspOfMrDNwC/6Ong4MlDQ2p9xhwPb42bngz/fF8nSZ9EU6QU88CMPywPPAwZK+M7MeeBCG5fAx/YzkclZebsVwrPOThdmC9y2wo6SNgN7Abma2JfAUsDPwTlHG9KI/F9gCj8Zxbmp0LeFEfIDDzNrjDadfGqjfwXcS5zFNUu/01yLlLjEEeEjSesBGwDhJB5SuAdwD3Fueycx+hA9Sm6d8e5jZOo0KYWarAicAm6Y6WATfZX0YfmzOepJ64R2viAuAxxoUYRiwW9l3ZwCPSFoHeITMhp+koF+CbxhqRhogLwN2krQBsFJSbhqVZTTwI0kb4srIoPT9WLzOeqc8v03HC5VzsqSNUv538ZdDI3KUBuhdUjklpuLPL1exy3A9rnT0Bm5nzqSpblnM7Kf4C3vDVMe/Tt+vj7edDVKe69LzKqeROsmVpUKf2R9YXNKP8fjaP0/KDWX5t83kf5qcPleLHLgyeUa63n0kpU7S8Ez5BwMTCl5+Re2sGjOBU1If3RI4Lj2HscC++Iu0nDczY1kz5S7JXXUsqkOWyyRtmMoaAcz2/a7WnxMP4ONdrRTJAXBF5t5LSsLHwL+mZ3cocFteoUXtvhFZKtTvdOBs4NQq5VZ6vnXJAlwKnJ9kOSf9H+BM4MXUJg/B31lFnJap10LlLlGkE1yCP591gE/xiSL4WCVJG+Pjy3XlBdYYjnW+sdAqeJKaMrPzDumvSdILkiZUyb4rMFrS1GTBGU3Oi69WzKw78C/4YAweqeNbSa+l/48G9mu0/Drk6ARsh+9cRtJ32dl6ChFnwB052Xvhs+5v5JbGx4B9WijSosCSSUFZCj8j8RhgsKRZScYPC+5lE2AlYFQjF5b0OM3PW8yGzbsVyFpUfoEPiLnyAGsCr0kqzdL/SI3PNE8WSaM0x6L7DH6GJJn6B5/55jrZSvoCZj/TJYvSVZMjcQXwy2wZkj6U9H/AjCrFNgGd0udlaX4OZj2yHANcLOnbkgzp+72AOyV9K+lt4A1yXsyN1EkFWciUle0zTcDSqU0viVtmvigq28yWAXYEft+gHP/EnJdt0TjSn/w+XdjOapBlsqTn0+cv8cnrqpLGSfp75dzVqTIW1SpLtt6XZu7nXa0/I+kZSZNrlblIjgrpX9Aci+IrwBJmtnhO0qJ237As5fUr6WtJT+KKXqVy636+FWQpGhvWxyfYSBoPrGFmK9VzzQI5cnUCvP+VLLjZcb+WsauWcKzzjYV2iRZma9djgLWBayU9W2PWWkKs1cOV+AuytCTzMdDBzDaVm7h/xtwHQmdZwsz+is+CLpZU9UVQgTXxZYKhaWlnDHCipK/T79sCUyS9npN3LHBhslRNA3bHl5wbQtL7ZvZr3JIyDRglaZSZ3QEcYGb7JFlPKJcnWUAvxy0TtVrJamGl0oAuabKZrZiutyquzO6IL2Hk8QawXrLWTMQHicXmkVwD8aVjkjxb4EsYq+PLCc2W9lO6ofhzehU4pZELp+OM3pf0kpk1UsSRwEgzm4YrOls2UkhiXWDbtHQ2HTg1KZmr4spJicL+Oi/qpIzyPnM3PsBPxictJ0vKVQ4T++BW40IlsApjgT2B+3HrYd44cgC1vXTmame1ktr8xkC18bWnmb2At4NfSXqiQtpKY1HNsmSWWT8Hfpq+q6U/t4gyObYBjjezQ/Ax8xRlXD8S+wEvlJS4MorafSOylGiofltKmSwnAQ+n90B7YOuU7CXcSvhkcklZHZ94TMkp8kIzO4e04lJQf9nrz6UT4G4Jn2XG0OzYcR4wKi2PL42v/JWTpytsUUmGeclCa8EDkPR9Mv92BzZPy4y1kHfadEPbkc2s5DMzJiNXE27yvcLMngO+xBW4PHrII3ccCFxpZms1IkdiUdw36Ppkdv6auc8drDTTH4ebskcDD+GdsEjmqqQl772AnkA33OoxAPePmJ7u+UZckSnnWGCkpPdyfpsfXAmcLun7ogRpwD4Gf0E+gftDNVw/JczsrFTO8My1nk1LNZsBg5JvSZ5Mh+N1Ow5/ydd77aVwn8JzqqWtwMnA7pK64z57v2lBWYsCnXEl8TRAyRJRc39taZ3kUN5nNsf9ALvhbfsUM1uzjvz1MhBf8hqDTyC/y/6YJgPfKMeHqSxds3ZWC2bWEbeEnVRFSZ2Mj2Ub4+ed3p5WFIqou17yZJF0lqTV8PsqLclX7c8tIUeO63F/st54PVxeln4DfGz9eUGRRe2+EVlKtLTd1U2OLMfgE6DV8HHi5pT0YqCzmb2IW1pfIH8sHQSsh4+DywOnV5OhXCfAV6bKKY0d/XF/xO74pPC2ZFzIMs90hUZYqBW8EmkZ8s/UvsxaS4i1WtkG2NPMJuDm2x3N7HeSnpb74WyOL7HkzqRKJnxJb+H3sHGDcoDf18SMJfNuXOErhYnblwozeEk3S/qJpO3wpaKWzP52Bt6W9JGkGbgvyNZJxntSmvtw5/BytsJnxBNwf5RDzGxeOLZOMbNVANK/paWQTYE70/V+hvt4NXOIl/SApC0kbYU7k7dodmy+0WcP3Iet2aCRlO6v8Q0zuaSX2F005gKwFq6kvJTuvTvwvJmtXEtmM1sB2CjT3u5iziy9ESYC96alludwh+2u1NlfW1gnsynoMwfiPq4z0lLaU3j7ycvfBX/JPNioDJLGS+oraRP8hf1mWZJ+VHmRV2tnFfJ1wPvqcEkVfeXS8vkn6fOYJOe6BeVWHYsakOV25jzvmvpzI+TJIWlKUixm4ZPWzTPpu+Pj3CGSyp9diaJ2X7cs6fu667elFMhyKHN8AP+HVC+SvpB0eFLEDgFWAN4uLzMt/TYlq91Q6vCXzOgEWwLLZfyYs2PHEYBS+qdxl5jyep+XukLdLLQKnpmtYL5jFDNbElcoxteY/WGgr5l1TpamvlR2xi1E0iBJ3SWtgQ+2j0oakFn+WxyfedyQcw+dSz4ZZtYVVxZfbUSOJMsHwHtmVtpFtVOmvJ2B8ZImFuXPyNwDHyBaMgN8F9jSzJZKs9GdcKvK7/GlE/AdUq+VZ5R0kKQeqU5PxXcqzosIKKWweaR/70/X6ylpjXS9u/HdXs2WyjP10xm3Mt5UnqZWzHdmnQ7sKembzPc9S4ORma2O+2BNKMvbzszWLn3Gd0nW2vZnI+lvklbM3PtEfCfmBzUW8SmwrJmVXuS7kDYaNcjstpHKXAx3d/hfoJ+ZLW6+I24d4LlsxnlVJ2Xk9Zl38UlcOzNbGn+BFF1nf2CE/LD3hsi0ufa4U/gNmd/ap2sUblQqamc1XLcdbnEZJ6mqVTaNx4ukz2viz+itguRVx6JaZLG5N4HtSXoOtfbneqkgxyqZZPvgy+qk99ODwCBJT1Uouqjd1y1Loq76bSkVZJmEj/Hg9/d6Sr+cmZXcW44EHs+zDmcm4+1wl5hqVuo8nWAc8Cdc0YfMuI/35Z1S+l64gvcRczM7HGuSuR8+Hv1DWJh98FYBbk2DSnt8N8wIMzsB94dbGXjZzEZKOtLMNgWOlnSkpKnmW+xLfg6DVdmPphFOS8u37fEl00cBsnLg5uPfmtmslO5iSQ0reIlfAMNTY3wLP5oEcmb6ZtYN3/a9e/rqnmR1mAEcp+Z+JDUj6Vkzuxvflj4TN8P/F+6YPtz8CJWv8A5eXi8txtzXbwegq5lNxHdNX4wvfxyBd+6qEVbM7EXNOcZhiLlvI3ibaaac1iHLIHy5erS571vpWIk+wBlmNgOfyR+rdNSPmY3E6+sDvO13wpcQXsKXQ+qWQ9LNBWlXxv2JOgGzzOwkYH35ER0jgSMlTTKzo/B2MwtX+Aa2oE5uAW4xs7H4UuShyeL0ipkJn6zMxNvm9/OiTqrUS5517FrcmjA2XWeopJezsmiOY30/vM3VREGddDSz41KSe9O1S2yHW+zfKivnJuAGuf/vNeS3s2psg/vA/s18KQ189+PiwNW41eXB1D92TbIMNrOZ+BL20aUxtUweqMHqWKMsR6TJ7Cz8pIKq95Xtz2Z2KW6RXSrV902SzmtAjv7mR4I04ZOx0lLs8bgv2Nlmdnb6rq+kD8vqpKjdVyJXFvkO3tz6NbdodgIWSxbNvpJezcpi7hud93zrlgU/lWFImrBOB/4t/dYL+G/zI8JeZc6u1vI+NNx8laAd8CLVn2+RTvAqbtH9D/w9VBrzTgFuTO+iJvwYlqbse1HSTPOj1x7GT4K4RdIrVeSYZ0QkiyAIgiAIgjbGQrtEGwRBEARB0FYJBS8IgiAIgqCNEQpeEARBEARBGyMUvCAIgiAIgjZGKHhBEARBEARtjIX5mJQgCH6AmNkw/PiOX7XCtdvhx07sDbwuP2i8VTCzg/AjL/q2lgxBECy4hIIXBEFF0vlXSwJrKsUlNrMjgQGSdmhF0eYHffADl7trTgzm2ZjZYfg5W33mtyCShlNnaLB5hZntAPxOHoYpCIIFkFiiDYKgFhYFTmxtIeqlFB2hDlYHJuQpdwsSNie0UhAECykxCARBUAuXAb80s+tSnMbZmNkaeCzIDpJmpu/+jFuAbkpWr6Pw8GCH43GKB+CxRi/AoxucJunWTLFdzWw0HsrreTwW5zup7PXw0/I3wUMDnS1J6bdhwDRcUdse2Av4Y5m83fCQXX2SLJdIujFFKLkW6GBmXwGXSzq3UqUk6+a1+En8a+Fhv84EhqXynwX2l/Rppp4GAoOBjnhEkjH46fg9Up0dn8o+jIy10Mz6pvteGbfsbQDcllPHh+LxU4fisU03wk/afxiP4vFZRvZr8HieqwMPpbyLAH8AFk/1AP6sugPXpc/T8Lih/16pfoIgaD3CghcEQS38FQ++fWqD+bcAXga64IHd7wQ2w0MxDQCuMbOOmfQH4cpfVzzM0HAA8/ito1MZKwL9cWVmg0zeA4ELgWWAJ3NkuQOPm9sNjzH5n2a2UwovdjTwtKSO1ZS7DPvhy7rr4jFs/4AreV3xMfaEnLpYBzgAuBI4C497uYHfom1flr4Ua/puXCHsAvwd2Dqn3LfwerkQD9F0UbrPXnjQ8/PKiwZ2A3oCG+Lhlr4G/hmYlOqhYwr9NAQYIqkTrsyqptoJgqBVCAteEAS1cg7wlJkNaSDv25KGApjZXbhSM1jSt8AoM/sOV/ZKsSgflPR4Sn8W8LmZrYYrNRNKZQHPm9k9uKJWivF4fyY4+/SsEKmMPsAekqYDL6ZYmgcDjzRwXwBXS5qSyn8C+FDSC+n/95ECkme4IF17lJl9Ddwh6cNM/o2Bx8ry7A68IunelO4qmivbkyRdnT7PBN5IfwAfmdlv8Pi0Wa4qxb41sweA3hQzA1jbzLqm+MbPVEgbBEErEwpeEAQ1IWmsmY0AzgDG1Zl9SubztFRe+XdZC957met+ZWZTcUvU6sAWZpZdJl4UuC0vbw7dgKmSvsx89w6waS03UUD5fVS6r0bSg8udrZOmFOA+y1z3bWYrAlcB2+LWzPbAp2V5Psh8/iZdp4gj8KXl8Wb2NnC+pBEV0gdB0IqEghcEQT2ci/vEXZ75rrQhYSngi/R55RZeZ7XSh7R0uzwwCVdiHpO0S4W8TRV+mwQsb2bLZJS8HsD7LZR3fjMZ94EDZh/nUr7Dtfy+L0rfbSjpEzPbG/e5q4VmdSjpdaC/mbUH9gXuNrMuC/qGlCBoq4QPXhAENSPpDeAuMn5lkj7CFaQBZraImQ3EfbRawu5m1sfMFsN98Z6V9B4wAljXzA42sw7pbzMz61Wj/O8BfwEuMrMlzGxD3DLVKseR1MGDwI/NbO+0Q/Y4qivRywBfAZ+Z2arAaXVcbwrQxcyWLX1hZgPMbAVJs4CSBfX7OsoMguAfSCh4QRDUy2Bg6bLvjsIViE/wzQJ/aeE1bsethVPx3bIHASSrW1+gH26N+wC4BN+JWyv9gTVS/vuAcyWNbqG885Xk87Y/cClex+vjG1++rZDtfOAnwOe4gnhvHdcbj29GecvMPks7j3cDXkk7a4cA/ZIvYRAEP0DaNTVVWs0IgiAIfmikZdKJwEGS/tTa8gRB8MMjfPCCIAgWAMxsV/xcvWm4tbQdsZM1CIICYok2CIJgwWAr4E3gY/y8vb0lTWtdkYIg+KESS7RBEARBEARtjLDgBUEQBEEQtDFCwQuCIAiCIGhjhIIXBEEQBEHQxggFLwiCIAiCoI0RCl4QBEEQBEEbIxS8IAiCIAiCNsb/A3PGy1pnfaXzAAAAAElFTkSuQmCC\n",
"text/plain": [
"<Figure size 720x432 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"count, bin_edges = np.histogram(df_t, 15)\n",
"xmin = bin_edges[0] - 10 # first bin value is 31.0, adding buffer of 10 for aesthetic purposes \n",
"xmax = bin_edges[-1] + 10 # last bin value is 308.0, adding buffer of 10 for aesthetic purposes\n",
"\n",
"# stacked Histogram\n",
"df_t.plot(kind='hist',\n",
" figsize=(10, 6), \n",
" bins=15,\n",
" alpha=0.6,\n",
" xticks=bin_edges,\n",
" color=['coral', 'darkslateblue', 'mediumseagreen'],\n",
" stacked=True,\n",
" xlim=(xmin, xmax)\n",
" )\n",
"\n",
"plt.title('Histogram of Immigration from Denmark, Norway, and Sweden from 1980 - 2013')\n",
"plt.ylabel('Number of Years')\n",
"plt.xlabel('Number of Immigrants') \n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"**Question**: Use the scripting layer to display the immigration distribution for Greece, Albania, and Bulgaria for years 1980 - 2013? Use an overlapping plot with 15 bins and a transparency value of 0.35."
]
},
{
"cell_type": "code",
"execution_count": 114,
"metadata": {
"button": false,
"collapsed": true,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 720x432 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"### type your answer here\n",
"df_t2 = df_can.loc[['Greece','Albania','Bulgaria'],years].transpose()\n",
"\n",
"count , bins_edges = np.histogram(df_t2,15)\n",
"\n",
"df_t2.plot(kind='hist',\n",
" figsize=(10,6),\n",
" bins=15,\n",
" alpha=0.35,\n",
" xticks=bin_edges,\n",
" color=['coral', 'darkslateblue', 'mediumseagreen'])\n",
"plt.title('Histogram of Immigration from Greece, Albania, and Bulgaria from 1980 - 2013')\n",
"plt.ylabel('Number of Years')\n",
"plt.xlabel('Number of Immigrants') \n",
"\n",
"plt.show()\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Double-click __here__ for the solution.\n",
"<!-- The correct answer is:\n",
"\\\\ # create a dataframe of the countries of interest (cof)\n",
"df_cof = df_can.loc[['Greece', 'Albania', 'Bulgaria'], years]\n",
"-->\n",
"\n",
"<!--\n",
"\\\\ # transpose the dataframe\n",
"df_cof = df_cof.transpose() \n",
"-->\n",
"\n",
"<!--\n",
"\\\\ # let's get the x-tick values\n",
"count, bin_edges = np.histogram(df_cof, 15)\n",
"-->\n",
"\n",
"<!--\n",
"\\\\ # Un-stacked Histogram\n",
"df_cof.plot(kind ='hist',\n",
" figsize=(10, 6),\n",
" bins=15,\n",
" alpha=0.35,\n",
" xticks=bin_edges,\n",
" color=['coral', 'darkslateblue', 'mediumseagreen']\n",
" )\n",
"-->\n",
"\n",
"<!--\n",
"plt.title('Histogram of Immigration from Greece, Albania, and Bulgaria from 1980 - 2013')\n",
"plt.ylabel('Number of Years')\n",
"plt.xlabel('Number of Immigrants')\n",
"-->\n",
"\n",
"<!--\n",
"plt.show()\n",
"-->"
]
},
{
"cell_type": "code",
"execution_count": 110,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 720x432 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"\n",
"df_cof = df_can.loc[['Greece', 'Albania', 'Bulgaria'], years]\n",
"\n",
"\n",
"\n",
"# transpose the dataframe\n",
"df_cof = df_cof.transpose() \n",
"\n",
"count, bin_edges = np.histogram(df_cof, 15)\n",
" # Un-stacked Histogram\n",
"df_cof.plot(kind ='hist',\n",
" figsize=(10, 6),\n",
" bins=15,\n",
" alpha=0.35,\n",
" xticks=bin_edges,\n",
" color=['coral', 'darkslateblue', 'mediumseagreen']\n",
" )\n",
"plt.title('Histogram of Immigration from Greece, Albania, and Bulgaria from 1980 - 2013')\n",
"plt.ylabel('Number of Years')\n",
"plt.xlabel('Number of Immigrants')\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"# Bar Charts (Dataframe) <a id=\"10\"></a>\n",
"\n",
"A bar plot is a way of representing data where the *length* of the bars represents the magnitude/size of the feature/variable. Bar graphs usually represent numerical and categorical variables grouped in intervals. \n",
"\n",
"To create a bar plot, we can pass one of two arguments via `kind` parameter in `plot()`:\n",
"\n",
"* `kind=bar` creates a *vertical* bar plot\n",
"* `kind=barh` creates a *horizontal* bar plot"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"**Vertical bar plot**\n",
"\n",
"In vertical bar graphs, the x-axis is used for labelling, and the length of bars on the y-axis corresponds to the magnitude of the variable being measured. Vertical bar graphs are particuarly useful in analyzing time series data. One disadvantage is that they lack space for text labelling at the foot of each bar. \n",
"\n",
"**Let's start off by analyzing the effect of Iceland's Financial Crisis:**\n",
"\n",
"The 2008 - 2011 Icelandic Financial Crisis was a major economic and political event in Iceland. Relative to the size of its economy, Iceland's systemic banking collapse was the largest experienced by any country in economic history. The crisis led to a severe economic depression in 2008 - 2011 and significant political unrest.\n",
"\n",
"**Question:** Let's compare the number of Icelandic immigrants (country = 'Iceland') to Canada from year 1980 to 2013. "
]
},
{
"cell_type": "code",
"execution_count": 115,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"text/plain": [
"1980 17\n",
"1981 33\n",
"1982 10\n",
"1983 9\n",
"1984 13\n",
"Name: Iceland, dtype: object"
]
},
"execution_count": 115,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# step 1: get the data\n",
"df_iceland = df_can.loc['Iceland', years]\n",
"df_iceland.head()"
]
},
{
"cell_type": "code",
"execution_count": 116,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 720x432 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# step 2: plot data\n",
"df_iceland.plot(kind='bar', figsize=(10, 6))\n",
"\n",
"plt.xlabel('Year') # add to x-label to the plot\n",
"plt.ylabel('Number of immigrants') # add y-label to the plot\n",
"plt.title('Icelandic immigrants to Canada from 1980 to 2013') # add title to the plot\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"The bar plot above shows the total number of immigrants broken down by each year. We can clearly see the impact of the financial crisis; the number of immigrants to Canada started increasing rapidly after 2008. \n",
"\n",
"Let's annotate this on the plot using the `annotate` method of the **scripting layer** or the **pyplot interface**. We will pass in the following parameters:\n",
"- `s`: str, the text of annotation.\n",
"- `xy`: Tuple specifying the (x,y) point to annotate (in this case, end point of arrow).\n",
"- `xytext`: Tuple specifying the (x,y) point to place the text (in this case, start point of arrow).\n",
"- `xycoords`: The coordinate system that xy is given in - 'data' uses the coordinate system of the object being annotated (default).\n",
"- `arrowprops`: Takes a dictionary of properties to draw the arrow:\n",
" - `arrowstyle`: Specifies the arrow style, `'->'` is standard arrow.\n",
" - `connectionstyle`: Specifies the connection type. `arc3` is a straight line.\n",
" - `color`: Specifes color of arror.\n",
" - `lw`: Specifies the line width.\n",
"\n",
"I encourage you to read the Matplotlib documentation for more details on annotations: \n",
"http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.annotate."
]
},
{
"cell_type": "code",
"execution_count": 117,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 720x432 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"df_iceland.plot(kind='bar', figsize=(10, 6), rot=90) # rotate the bars by 90 degrees\n",
"\n",
"plt.xlabel('Year')\n",
"plt.ylabel('Number of Immigrants')\n",
"plt.title('Icelandic Immigrants to Canada from 1980 to 2013')\n",
"\n",
"# Annotate arrow\n",
"plt.annotate('', # s: str. Will leave it blank for no text\n",
" xy=(32, 70), # place head of the arrow at point (year 2012 , pop 70)\n",
" xytext=(28, 20), # place base of the arrow at point (year 2008 , pop 20)\n",
" xycoords='data', # will use the coordinate system of the object being annotated \n",
" arrowprops=dict(arrowstyle='->', connectionstyle='arc3', color='blue', lw=2)\n",
" )\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Let's also annotate a text to go over the arrow. We will pass in the following additional parameters:\n",
"- `rotation`: rotation angle of text in degrees (counter clockwise)\n",
"- `va`: vertical alignment of text [‘center’ | ‘top’ | ‘bottom’ | ‘baseline’]\n",
"- `ha`: horizontal alignment of text [‘center’ | ‘right’ | ‘left’]"
]
},
{
"cell_type": "code",
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"df_iceland.plot(kind='bar', figsize=(10, 6), rot=90) \n",
"\n",
"plt.xlabel('Year')\n",
"plt.ylabel('Number of Immigrants')\n",
"plt.title('Icelandic Immigrants to Canada from 1980 to 2013')\n",
"\n",
"# Annotate arrow\n",
"plt.annotate('', # s: str. will leave it blank for no text\n",
" xy=(32, 70), # place head of the arrow at point (year 2012 , pop 70)\n",
" xytext=(28, 20), # place base of the arrow at point (year 2008 , pop 20)\n",
" xycoords='data', # will use the coordinate system of the object being annotated \n",
" arrowprops=dict(arrowstyle='->', connectionstyle='arc3', color='blue', lw=2)\n",
" )\n",
"\n",
"# Annotate Text\n",
"plt.annotate('2008 - 2011 Financial Crisis', # text to display\n",
" xy=(28, 30), # start the text at at point (year 2008 , pop 30)\n",
" rotation=72.5, # based on trial and error to match the arrow\n",
" va='bottom', # want the text to be vertically 'bottom' aligned\n",
" ha='left', # want the text to be horizontally 'left' algned.\n",
" )\n",
"\n",
"plt.show()"
]
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"**Horizontal Bar Plot**\n",
"\n",
"Sometimes it is more practical to represent the data horizontally, especially if you need more room for labelling the bars. In horizontal bar graphs, the y-axis is used for labelling, and the length of bars on the x-axis corresponds to the magnitude of the variable being measured. As you will see, there is more room on the y-axis to label categetorical variables.\n",
"\n",
"\n",
"**Question:** Using the scripting layter and the `df_can` dataset, create a *horizontal* bar plot showing the *total* number of immigrants to Canada from the top 15 countries, for the period 1980 - 2013. Label each country with the total immigrant count."
]
},
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"source": [
"Step 1: Get the data pertaining to the top 15 countries."
]
},
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"### type your answer here\n",
"\n",
"\n",
"\n"
]
},
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"Double-click __here__ for the solution.\n",
"<!-- The correct answer is:\n",
"\\\\ # sort dataframe on 'Total' column (descending)\n",
"df_can.sort_values(by='Total', ascending=True, inplace=True)\n",
"-->\n",
"\n",
"<!--\n",
"\\\\ # get top 15 countries\n",
"df_top15 = df_can['Total'].tail(15)\n",
"df_top15\n",
"-->"
]
},
{
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"source": [
"Step 2: Plot data:\n",
" 1. Use `kind='barh'` to generate a bar chart with horizontal bars.\n",
" 2. Make sure to choose a good size for the plot and to label your axes and to give the plot a title.\n",
" 3. Loop through the countries and annotate the immigrant population using the anotate function of the scripting interface."
]
},
{
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"source": [
"### type your answer here\n",
"\n",
"\n",
"\n"
]
},
{
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"Double-click __here__ for the solution.\n",
"<!-- The correct answer is:\n",
"\\\\ # generate plot\n",
"df_top15.plot(kind='barh', figsize=(12, 12), color='steelblue')\n",
"plt.xlabel('Number of Immigrants')\n",
"plt.title('Top 15 Conuntries Contributing to the Immigration to Canada between 1980 - 2013')\n",
"-->\n",
"\n",
"<!--\n",
"\\\\ # annotate value labels to each country\n",
"for index, value in enumerate(df_top15): \n",
" label = format(int(value), ',') # format int with commas\n",
" \n",
" # place text at the end of bar (subtracting 47000 from x, and 0.1 from y to make it fit within the bar)\n",
" plt.annotate(label, xy=(value - 47000, index - 0.10), color='white')\n",
"-->\n",
"\n",
"<!--\n",
"plt.show()\n",
"-->"
]
},
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"source": [
"### Thank you for completing this lab!\n",
"\n",
"This notebook was originally created by [Jay Rajasekharan](https://www.linkedin.com/in/jayrajasekharan) with contributions from [Ehsan M. Kermani](https://www.linkedin.com/in/ehsanmkermani), and [Slobodan Markovic](https://www.linkedin.com/in/slobodan-markovic).\n",
"\n",
"This notebook was recently revamped by [Alex Aklson](https://www.linkedin.com/in/aklson/). I hope you found this lab session interesting. Feel free to contact me if you have any questions!"
]
},
{
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"source": [
"This notebook is part of a course on **Coursera** called *Data Visualization with Python*. If you accessed this notebook outside the course, you can take this course online by clicking [here](http://cocl.us/DV0101EN_Coursera_Week2_LAB1)."
]
},
{
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},
"source": [
"<hr>\n",
"\n",
"Copyright &copy; 2018 [Cognitive Class](https://cognitiveclass.ai/?utm_source=bducopyrightlink&utm_medium=dswb&utm_campaign=bdu). This notebook and its source code are released under the terms of the [MIT License](https://bigdatauniversity.com/mit-license/)."
]
}
],
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