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

Created December 18, 2019 14:54
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DV0101EN-2-2-1-Area-Plots-Histograms-and-Bar-Charts-py-v2.0.ipynb
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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>"
]
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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",
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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": {
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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",
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"button": false,
"deletable": true,
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},
"source": [
"# Downloading and Prepping Data <a id=\"2\"></a>"
]
},
{
"cell_type": "markdown",
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"button": false,
"deletable": true,
"editable": true,
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},
"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,
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"source": [
"import numpy as np # useful for many scientific computing in Python\n",
"import pandas as pd # primary data structure library"
]
},
{
"cell_type": "markdown",
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"deletable": true,
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"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": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting xlrd\n",
"\u001b[?25l Downloading https://files.pythonhosted.org/packages/b0/16/63576a1a001752e34bf8ea62e367997530dc553b689356b9879339cf45a4/xlrd-1.2.0-py2.py3-none-any.whl (103kB)\n",
"\u001b[K |████████████████████████████████| 112kB 11.5MB/s eta 0:00:01\n",
"\u001b[?25hInstalling collected packages: xlrd\n",
"Successfully installed xlrd-1.2.0\n",
"Note: you may need to restart the kernel to use updated packages.\n"
]
}
],
"source": [
"pip install xlrd"
]
},
{
"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": 3,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
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"run_control": {
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},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Data downloaded and read into a dataframe!\n"
]
}
],
"source": [
"df_can = pd.read_excel('https://s3-api.us-geo.objectstorage.softlayer.net/cf-courses-data/CognitiveClass/DV0101EN/labs/Data_Files/Canada.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,
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},
"source": [
"Let's take a look at the first five items in our dataset."
]
},
{
"cell_type": "code",
"execution_count": 4,
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"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
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"</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",
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" <th>2013</th>\n",
" </tr>\n",
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" <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",
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" <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",
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" <td>702</td>\n",
" <td>560</td>\n",
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" <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",
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" <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>"
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"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": 4,
"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": 5,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
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"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": {
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}
},
"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": 6,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
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"outputs": [
{
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" <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",
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" <th>3</th>\n",
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" <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",
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" <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",
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],
"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",
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"\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",
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"\n",
"[5 rows x 38 columns]"
]
},
"execution_count": 6,
"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": 7,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"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>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": 7,
"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": 8,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"new_sheet": false,
"run_control": {
"read_only": false
},
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 8,
"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": 9,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 9,
"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": 10,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"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",
" <th>1982</th>\n",
" <th>1983</th>\n",
" <th>1984</th>\n",
" <th>1985</th>\n",
" <th>1986</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",
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" <th></th>\n",
" <th></th>\n",
" <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": 10,
"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": 11,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"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",
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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>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>1986</th>\n",
" <th>...</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",
" <th>Total</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",
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" <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>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",
" <td>58639</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>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",
" <td>15699</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>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",
" <td>69439</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>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",
" <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": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_can['Total'] = df_can.sum(axis=1)\n",
"\n",
"# let's aview 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": 12,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"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": 13,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"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": 13,
"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": 14,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Matplotlib version: 3.1.1\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": 15,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"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>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": 15,
"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": 19,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"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": [
"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',stacked=True,\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": 16,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"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": [
"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": 17,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 0, 'Years')"
]
},
"execution_count": 17,
"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": [
"# 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": 22,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"jupyter": {
"outputs_hidden": false
},
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 0, 'Years')"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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zs5+EwwG7mdl4Mzu/hu18BjwSrn8s8Ag7ZkFluodgeM9DFjzdqQ9BkfG5zrl3arIjZnaPBU/uO8DMjjGzBwgys+7JtY5zbhNwATDEgidLnWpmPzKzrmZ2DcHQsNT+vU/wZKXjw4LHj4TzHgz/+wlBDZbfm9nB4b78sSb7EPbJEWQY9DOzfdKKyVfXLcCxZvaX8LP4kZn1N7OJqSCHmU2y4KlQB5rZEQRF7b+sYojbywQFsw8hGLqVmjaGIEunsgywZUDqCVaFZtauhvuUTSczOzrj1ZmgMPwqYKaZDTCzH1rwJLXfmNlp4bqfERyj08ysi5ldRVBHrFw1jtEy4CQLni5YaGbZso0gyJL6iuApiBea2ZHhOXomwbWXChTcBlxpZheEw5guI3jgwf9Xw+OyDOgefu6FVvPi1QDjzCwefufdBhxNeB2FQcp3gWvDfelOcMyLUyvX4Byut+s/i2zH4a8E5+pj4XdEqij1EuCZOm6vQYTDzf4C3G5mQ8LvmjsIgmRV/Z6tIRgSNzY8x3oT/AY1tc9ORKTJUoBJREQgGPoyg6B49dsEhVKnkPY/1tm44BH3ZxH81ff9cJ3/Zccnbl1JcPO9jCAgla2t1QRPF9qXYEjC88CHBE9vaxTh/g0hyOT5P4Ib7+cJ+llV/aT0djzgJwQBpdcJirU/QRV/yQ7rn5xKkHHyLsFN3iKyD2+qyr4EQZ9PgdkEj4bv65x7qYo+PEvw1//vCD7fTwnOlW7AJeEyPkEA4j9h2wsJMs8GprKCwsDDSIJaJv8iOE+uoXbGEwTH/kMwjKXawrpeJwIdgLkEn8EkgrIBG8PFogSf94dsf+La8CqafpMgK+Q951yqnVfCdedn1GLJ7NNrBAWr/0pwfUyoyT7lcAVBYeP016/CGmonEuzbNIKMjycJgiRfhev+H8H5+TeC864rQWAuXVXH6DcET8T6ItynrHWQnHNFBMWPHyJ4Utzb4TavJDge/wgXvZvgqXQ3Enxm44ErnHOPUDO3EwyNej/sV7carg9BUOzysI04cK5zLr1O0BiCLJqFBMfwf4H1GW1UeQ7X8/WfaYfjEJ4bAwnuD14nCJCuB4ZWdv42QVcQPA0vQVB7KY/gt62q37Mygt+zI4APCILjt9P0PjsRkSbLgkC8iIhIRWb2MvCtc67RAjwiIiJ1ZWYLgGXhcE4REdlJVORbREQIhzQdS5CF0RoYTVC4d2hj9ktERKQmzOwYgsLxCwlqHv03wVDL6xuzXyIiLYECTCIiAkFtinHAvQTDIz4FRjjnZjVqr0RERGruFwT10CCo/3aac+6VRuyPiEiLoCFyIiIiIiIiIiJSJyryLSIiIiIiIiIidaIAk4iIiIiIiIiI1ElzrsGksX8iIiIiIiIiIvXPMic05wATK1eubOwuiORUWFjIunXrGrsbIjnpHJWmTueoNHU6R6Wp0zkqTZ3O0aapU6dOWadriJyIiIiIiIiIiNSJAkwiIiIiIiIiIlInCjCJiIiIiIiIiEidNOsaTCIiIiIiIiLSMJxzFBcX4/s+ZjvUgK6x1atXU1JSUg89k5pyzhGJRGjTpk21P0sFmERERERERESkzoqLi2nVqhWxWP2EGmKxGNFotF7akppLJpMUFxeTn59freU1RE5ERERERERE6sz3/XoLLknji8Vi+L5f7eUVYBIRERERERGROquPYXHStNTkM1WASURERERERESavTVr1jBu3DhOOOEE+vbty+jRo/nyyy/rrf0FCxbwzjvv1Ft7uxrlromIiIiIiIhIs+ac48ILL+Sss87i/vvvB+DDDz9k3bp1HHjggfWyjTfffJN27drRvXv3HeYlk8lmP3ywee+diIiIiIiIiLR4b7zxBq1atWLMmDHl04444gicc9x888288sormBm/+MUvOP3001mwYAGTJk1i6tSpAFx//fV07dqVkSNH0rNnT8466yzmzJlDMplk8uTJ5OXlMW3aNKLRKE899RS33HILjz32GHvttRcffvghhx9+OHPnzuW5557je9/7Hr7vc9JJJzFjxgzat2/fWIelXinAJCIiIiIiIiLN2meffcaRRx65w/QXXniBjz76iDlz5lBUVMTQoUPp1atXle21b9+eF198kSlTpjBp0iTuvPNORo8eTbt27bj00ksBeOyxx1i6dCnTp08nGo2y55578vTTT3PxxRfz2muvcdhhhzWb4BKoBpOIiIiIiIiItFBvv/02Z5xxBtFolA4dOtCrVy8WL15c5XpDhgwBoGvXrixfvjzncsOGDSMajQIwcuRInnzySQAef/xx4vF4PexB06EAk4iIiIiIiIg0az/+8Y/54IMPdpjunMu6fCwWqzCvpKSkwvy8vDwAotEonufl3G7btm3L/925c2c6dOjA66+/zj//+U/69etXo31o6hRgEhEREREREZFm7cQTT6S0tJRHHnmkfNq//vUv9tprL5577jk8z2P9+vUsXLiQo48+ms6dO/P5559TUlLCxo0bef3116vcRrt27di8eXOly5xzzjn84he/YPjw4eWZTc2FAkwiIiIiIiIi0qyZGQ899BDz58/nhBNO4JRTTmHChAmcccYZHHrooQwcOJB4PM7111/P3nvvTefOnRk+fDgDBgzgsssu44gjjqhyGwMHDmT27NkMHDiQhQsXZl1m0KBBbNmyhZEjR9b3LjY6y5UO1gy4lStXNnYfRHIqLCxk3bp1jd0NkZx0jkpTp3NUmjqdo9LU6RyV+rZ169YKQ8LqKhaLkUwm6629pmDx4sXcdNNNPPPMM43dlWrJ9pl26tQJwDKX1VPkRERERERERER2sokTJzJ16lQmTpzY2F3ZKTRETkRERERERERkJ7vssst4++236dGjR2N3ZadQgElEREREREREROpEASYREREREREREamTBqnBFI/HfwBMBToCPvBAIpG4J2MZA+4BhgJbgfMTicR74bzB4bwo8FAikbitIfotIiIiIiIiIiJVa6gMpiRwZSKROBToBfw8Ho8flrHMEOCg8HUJcD9APB6PAn8K5x8GnJNlXRERERERERERaSQNEmBKJBLfpLKREonEJuAToHPGYqcDUxOJhEskEm8Be8Xj8X2AHsCSRCKxNJFIlAKPh8uKiIiIiIiIiJT7wQ9+wMCBA+nXrx+XXHIJ27Ztq3T5nj17UlRU1EC9a94aZIhcung8/kPgGGBhxqzOwPK09yvCadmm99yJXRQREREREZEWpGhdkt33jNKqlTV2V5oVf/FC+Lb2wZtkNIrvedsnFLQnclTl4YA2bdowZ84cIHhq29SpUxk7dmyt+yDblZaWsmLFCjp16pR1foMGmOLx+G7AU8D4RCKxMWN2tivZVTI9W/uXEAyvI5FIUFhYWIfeiuxcsVhM56g0aTpHpanTOSpNnc5Raep0jgZKS32++WoD+W1asc8+uzV2d3Zpq1evJhbbHmZIbtwAybLaN5gsqzjsauOGCu3nklrm+OOP5+OPPyYWi3HeeeexcuVKSkpKuOiiixgzZgwAZkY0Gq10mQMOOIBly5YBMGPGDObMmcO9995b+/3aheTl5ZV/T2zatIni4uKcyzZYgCkej7ciCC49kkgkns6yyArgB2nv9wVWAq1zTN9BIpF4AHggfOvWrVtX126L7DSFhYXoHJWmTOeoNHU6R6Wp0zkqTZ3O0UBJsc+mTSVsKzbyd8t98yxVKykpIRqNlr/3PQ98r5I1KheJRPHT1/c8kslkleslk0mSySRz586lb9++JJNJ7rzzTgoKCti2bRunnXYagwcPpn379jjn8MJ2cy2TajPogofv+9XqR3NQUlJS/j2xceNGNmzYkHPZhnqKnAEPA58kEom7ciz2HHBZPB5/nGAI3IZEIvFNPB5fCxwUj8cPAL4GzgbObYh+i4iIiIiISPPm+8GrtDTrQBnZxRQXFzNw4EAgqK90zjnnAPDnP/+ZWbNmAbBy5UqWLVtWHjxKqc4yLZnneXhe7oBhQ2Uw9QZGAx/E4/F/hdOuA/YDSCQSk4AXgKHAEmArcEE4LxmPxy8DXgSiwJ8TicRHDdRvERERERERacZ8z+F8SCYVYGoO0mswpSxYsIDXXnuNGTNmkJ+fz5lnnklJSUm1lzHbXrknc72WxKsig6xBAkyJROJ1stdSSl/GAT/PMe8FggCUiIiIiIiISL3xPPA8h+cpwNRcbdq0iT333JP8/HyWLFnCe++9V6NlOnTowBdffMGBBx7I7NmzadeuXUN2v8lIJpNNIoNJREREREREpMnxfYfvg/Mbuyeys/Tt25dp06YxYMAAfvSjH3HsscfWaJlrr72W8847j06dOnHwwQezZcuWhux+k5GqP5WLAkwiIiIiIiLSYvleGGRSAlP9K2gP3xbVfv1oNEgxS2+vCl988cUO0/Ly8vjb3/6WdfmFCxeW/zvXMsOGDWPYsGFVbru5qyx7CRRgEhERERERkRbM94MaTL6GyNW7yFE967R+LBZrMU9r2xUkk8lKM5giDdgXERERERERkSbF88B3KINJpApVZTApwCQiIiIiIiItlu87cA7nOzxPhZhEclGASURERERERCQH3wPnwGFoNJZIbgowiYiIiIiIiOTgeQ7nAOdIlmqcnEguVdXDUoBJREREREREWizfB7Pg38mkAkwi2TjnlMEkIiIiIiIikovvQyRi4CBZpgDTruzGG2/kwQcfLH9/7rnnctVVV5W//93vfsfkyZNr3O6DDz7Itm3b6qWPmXzf54YbbqBfv37079+foUOH8tVXX1W6Ts+ePSkqKtop/cnF932cq/z6iDVQX0RERERERESaFN93+L4LMpgMSjVErl4tXLGJb7fVvrBVJBLF97dnzRTkx+i57+45l+/WrRvPP/88F198Mb7vU1RUxKZNm8rnL1q0iN/97nc17sdDDz3ET3/6U/Lz86u9jud5RKPRKpd77rnnWLVqFXPnziUSibBy5Uratm1b4z5WVzKZJBareSgomUzi+z6WSvfLQgEmERERERERaZF8PyjwbRHDDMpK9RS5+vTttiTFydof00jE8P3t61cVrOrevTs33XQTAJ999hkHH3wwa9as4bvvviM/P58lS5ZwxBFHAHD//fczY8YMSktLGTx4MFdddRVbt25l7NixfPPNN/i+zy9/+UvWrVvH6tWrOeussygoKODJJ5/k1Vdf5c4776S0tJT999+fu+++m3bt2tGzZ0/OPvtsXn31VS644AKmTZvGMcccw4IFC9iwYQMTJkygZ8+eFfq8evVqvv/97xOJBAPMOnXqVD7v17/+NYsXL6a4uJjTTjutQjbWn//8Z+bMmUMymWTy5Ml06dKFf/7zn9x4440UFxfTpk0b7rrrLrp06cL06dOZN28eJSUlbN26lSlTpnDBBRewYcMGkskkV199Naeeemqlx9bzPJxzCjCJiIiIiIiIZPLDAt+RiMOAsrLG7pHURceOHYnFYnz99dcsWrSI4447jlWrVvHuu++yxx57cOihh9K6dWteffVVli1bxsyZM3HOcf755/PWW2+xfv16OnbsyLRp0wDYuHEje+yxBw888ABPPPEE7du3p6ioiHvuuYfp06fTtm1b/vSnP/HAAw9wxRVXAJCXl8ff//53AKZNm0YymWTmzJnMmzePu+66i+nTp1fo8/DhwxkxYgQLFy7kxBNP5Kc//Wl5EOyaa66hoKAAz/MYOXIkH3/8MYcddhgA7du358UXX2TKlClMmjSJO++8ky5duvD0008Ti8WYP38+t99+e/mQwXfffZe5c+dSUFBAMpnk4YcfZvfdd6eoqIjhw4czaNCgSoNHnufh+355ICwbBZhERERERESkRfJ9cH6QlWERUw2mZqB79+4sWrSIRYsWcckll7Bq1SoWLVrEHnvsQbdu3QB49dVXefXVVxk0aBAAW7duZdmyZfTo0YObb76ZP/zhDwwYMGCHbCMIAjWff/45p59+OgBlZWUcd9xx5fN/8pOfVFh+6NChAHTt2pUVK1bs0F6nTp2YP38+b7zxBm+88QYjR45k0qRJnHTSScyYMYNHHnkEz/NYvXo1X3zxRXmAaciQIeXtzpo1CwgCYuPHj2fZsmWYGWVpEdOTTz6ZgoICICjYfdttt3Ky/EcAACAASURBVLFw4ULMjFWrVrF27Vr23nvvnMfV8zw8z1MGk4iIiIiIiEgmz3PlT5GLRKCKh2TJLqBbt24sWrSITz/9lEMOOYROnToxefJkdt99d0aOHAkEAZbLLruM0aNH77D+rFmzePnll7n11lvp06dPeWZSinOOk08+mfvuuy/r9jPrJ7Vu3RqAaDRKMpl9iF9eXh79+vWjX79+dOjQgRdffJH999+fyZMnM3PmTPbaay/Gjx9PcXFxhXVS7aae7nbHHXdwwgkn8PDDD7N8+XLOPPPMrP16+umnWb9+PbNmzaJVq1b07NmTkpKS7Ac0lAowVVa/SU+RExERERERkRbJ94NC35EomBm+pwymXV23bt2YO3cue+21F9FolIKCAjZu3Mi7775bnsHUt29fpk+fzpYtWwD45ptvWLduHatWrSI/P5+f/vSnXHrppXzwwQcA7LbbbmzevBmA4447jnfeeYdly5YBsG3bNr788sta9/eDDz5g1apVQPCkto8//ph9992XTZs2kZ+fzx577MHatWt55ZVXqmxr06ZNdOzYEYBEIlHpcoWFhbRq1Yo33ngja2ZVpmQyied5GiInIiIiIiIiksn3HL4HrVoHWUyeAky7vEMPPZSioiLOOOOM8mmHHHIIW7ZsoX379gD06dOHL774onw4W9u2bfm///s//v3vf3PLLbdgZrRq1Ypbb70VgFGjRvGzn/2MvffemyeffJK7776bn//855SWlgJw9dVXc+CBB9aqv+vWreNXv/pVeVtHH300559/Pm3atOGII47glFNOYb/99qN79+5VtjVu3DjGjx/PAw88QO/evXMu91//9V+cd955DBkyhMMPP5wuXbpU2XYqg6lNmzY5lzHnmu0F5FauXNnYfRDJqbCwkHXr1jV2N0Ry0jkqTZ3OUWnqdI5KU6dzFL5dl+SrZaW0bQebNzkccGzPdo3drV3W1q1bKwzFWrhiU5VPfqtMJBLF97ePWyzIj9Fz393r1EepmdRnunz5cj777DN23313RowYAbBDMSZlMImIiIiIiEiL5PkO5xyRSJSIeZSpyHe9qmswKBaL5axbJA2rqgLfoBpMIiIiIiIi0kL5HuU3zRYJajKJyI6qE+hTgElERERERERapPSAkpnhhxlNIlKRV41HLCrAJCIiIiIiIi1SUNQ7CCiZgXOQTCrAJJJJASYRERERERGRHHyPILIEpJ6+nixtvP6INFXJZFI1mERERERERESy8X0XpC1RHmeiLKlCTCKZPM+rcvioAkwiIiIiIiLSIgUZTMG/LWI4IFnWmD2SuurcuTOXX355+ftkMsmRRx7JmDFj6qX9gw46qEbLT58+neuvvx6ACRMmMGnSpB2WyTU9Wxt1VdW2svF9H78aFfBjte2UiIiIiIiIyK7KORdmMAXvzYJYU1mJMpjqy6qvyyjeVvvjGYmW4Xvb12+TH6Fj51aVrtO2bVs+++wztm3bRn5+PvPnz6djx4412m4ymSQWU7gkJZlM4pyrcoicjpiIiIiIiIi0OL5XPjoOgIgFQaayMhX5ri/F23y8OhRNd87he9vXr26w6pRTTmHevHkMGzaMv//975xxxhksXLgQgH/+85/ceOONFBcX06ZNG+666y66dOnC9OnTmTdvHiUlJWzdupWJEycybtw4Nm3ahOd53HrrrfTs2ROA2267jblz59KmTRv+8pe/0KFDB1566SXuvfdeSktLKSgoYOLEiXTo0KHG+/zwww8zbdo0YrEYBx10EPfff3+F+bm2M2HCBL7++mu++uorvv76ay666CIuvPBCAO655x6efPJJOnXqxPe+9z26du1arW2leJ6H7/sKMImIiIiIiIhk8n2Hc9trL1lYQKasVAGmXd3pp5/O3XffzYABA/jkk084++yzywNMXbp04emnnyYWizF//nxuv/12HnzwQQDeffdd5s6dS0FBAZMmTaJPnz788pe/xPM8tm3bBsDWrVs59thj+fWvf80tt9zCI488wvjx4+nRowczZszAzHj00Ue57777uPHGG2vc9z/96U+8+eab5OXlsWHDhh3mV7adJUuW8MQTT7BlyxZOOukkxowZwyeffMJzzz3HSy+9RDKZZPDgweUBpqq2lZIKMEUilVdZUoBJREREREREWhzPC4JMqawMMyOiDKZm4bDDDmPFihU8++yz9OvXr8K8jRs3Mn78eJYtW4aZUVa2vejWySefTEFBAQBHH300V155JclkklNPPZUjjjgCgNatWzNw4EAAjjzySF577TUAvvnmG8aNG8eaNWsoLS1lv/32q1XfDz30UC677DIGDx7M4MGDd5hf2Xb69+9PXl4eeXl5FBYWsnbtWhYuXMjgwYPJz88HKO97dbaVUt0MJhX5FhERERERkRbH98Mhcmn3zBaxoPC37PIGDRrE73//e84444wK0++44w5OOOEEXn75ZaZMmUJJSUn5vLZt25b/u1evXjz11FN07NiRX/7ylzzxxBMAxGKx8kBLNBolmUwCcMMNN3DBBRcwb948br/99grt1sTUqVM5//zzef/99xk8eHB5+ymVbScvL6/839FoFM8LTuZcgaGqtpWSTCbxPI9oNFpp3xVgEhERERERkRbH94L6PtG0e+9IBDxPGUzNwciRI7niiis49NBDK0zftGlTedHvRCKRc/0VK1ZQWFjIqFGjOPvss/nggw8q3d7GjRvL200Fo2rK931WrlxJ7969+c1vfsPGjRvZsmVLnbbTq1cvZs+ezbZt29i8eTNz5syp9rZSPM+rVoBJQ+RERERERESkxfF98HxolXZXbGZ4ymBqFjp16sRFF120w/Rx48Yxfvx4HnjgAXr37p1z/QULFjBp0iRisRjt2rXjnnvuqXR7V155JWPHjqVjx44ce+yxLF++vMZ99jyPyy+/nE2bNuGc4+KLL2bPPfes03aOPPJIhg8fzqBBg9h3333LC5VXZ1vp/Uomk0SjUXw/d6F1c67ZRmfdypUrG7sPIjkVFhaybt26xu6GSE46R6Wp0zkqTZ3OUWnqWvo5+u36JF8tLSW/LUSjweCejd95YHBMz3aN3Ltd09atWysMM1v1dVm1n/yWTSQawfe2r98mP0LHzq3q1Eepma1bt1JUVMSnn35K+/btKSsrY8SIEVBhcGlAGUwiIiIiIiLS4gQ1mFyFJ2OZhsjVq7oGg2KxWM66QNJwqvsZqAaTiIiIiIiItDi+5zAqFkA2Q0PkRDJ4nlflE+RAASYRERERERFpgTwPXMYon4gZznM041IyIjXmVTPqqgCTiIiIiIiItDi+7zCrGEiyCDgHXlIBJpEUZTCJiIiIiIiI5OB7kFmn2AwcUKayPyLlPM+rVlafAkwiIiIiIiLS4vi+w9gxgwkgWVb7J5+JNDcq8i0iIiIiIiKSQ1CDqaJIOAzIUwbTLqtz58787ne/K38/adIkJkyYUK/b+PLLLxk9ejS9e/emT58+jB07lrVr1+Zcfvny5fTr169G2xg/fjzPP/98rfr30ksvMXHixFqtm8k5h+9XL+Aaq5ctioiIiIiIiOxCfH/HIT+pMjOlparBVB+WLl3Kli1bar1+NBqtUGC6Xbt2/OhHP6p0nby8PGbNmsXll19O+/bta73tXIqLixkzZgw33ngjgwYNAuCNN95g/fr1dOjQod63VxuDBg0q71tdpQJMqsEkIiIiIiIiksH3HM7PrMAUDJEzoKxUQ+Tqw5YtWygrK6v1q7S0tML76gSrotEoo0aN4oEHHthh3vr167n44osZOnQoQ4cO5Z133gGgf//+bNiwAecchx9+OE888QQAl19+OfPnz6/Qxt///neOO+64CgGc3r17c8ghh7B8+XJGjBjBqaeeyqmnnlrefjrP87j55psZOnQoAwYMYNq0aUAQyLn++uvp27cvo0ePZv369eXrvPbaawwaNIj+/fvzP//zP5SUlADQs2dP7rzzTk499VT69+/PkiVLAJg+fTrXX389EGQzDRs2jEGDBjFy5MhKM62ycS54qmIkUnX4SAEmERERERERaVE8P3haXGaEySyYVlaiDKZd2fnnn88zzzzDxo0bK0z/7W9/y8UXX8wLL7zAgw8+yFVXXQVAt27deOedd/jss8/Yf//9efvttwF47733OO644yq08emnn9K1a9es2y0sLOSxxx7jxRdf5P777+e3v/3tDss89thj7L777rzwwgvMnDmTRx99lK+++opZs2bx5ZdfMm/ePO644w4WLVoEBBlTV1xxBffffz/z5s0jmUwyderU8vbat2/Piy++yOjRo5k0adIO2+vRowczZszgpZde4vTTT+e+++6rwZEE3/erXeRbQ+RERERERESkRQkymLIPkTODZFIBpl3Z7rvvzplnnsnDDz9Mfn5++fTXXnuNzz//vPz95s2b2bx5Mz179mThwoWsWLGCMWPG8Le//Y1vvvmGgoIC2rVrV+3tlpWVcf311/Pxxx8TiURYunTpDsu8+uqrfPLJJ8ycOROATZs2sWzZMt566y3OOOMMotEoHTt2pHfv3kBQ72m//fbjwAMPBOCss87ir3/9KxdffDEAQ4YMAaBr167MmjVrh+198803jBs3jjVr1lBaWsp+++1X7f2B7RlM1RkipwCTiIiIiIiItCi+D74Di1S8aTYzIhGjmg/NkibsoosuYvDgwYwcObJ8mu/7PPfccxWCThAMNZsyZQr77rsv11xzDbNmzWLmzJn06NFjh3YPPvhg3nzzzazbfPDBB+nQoQNz5szB9/2c9aJuueUW+vbtW2HavHnzsgZxqsocysvLA3asV5Vyww03cMkllzBo0CAWLFjAXXfdVWl72bbveR7RaLTKZTVETkRERERERFoUz3P4/vai3unMgifMya6toKCA4cOH89hjj5VP69OnD1OmTCl//+GHHwLBk+eKiopYtmwZ+++/Pz169GDSpEn07Nlzh3bPOOMM3n33XebOnVs+7ZVXXuGTTz5h48aN7L333kQiEZ566qmsAZ8+ffowdepUysrKgCBDaevWrfTq1Ytnn30Wz/NYvXo1CxYsAKBLly4sX76cZcuWAfDUU0/Rq1evah+HjRs30rFjR4Dy2lI14ZwjmUwSi1Wdn6QAk4iIiIiIiLQovhcMk4tmuSO2iOF5GiLXHIwdO5aioqLy9zfffDOLFy9mwIAB9O3bt7zANsAxxxxTnnHUo0cPVq1aRffu3XdoMz8/n7/+9a/85S9/oXfv3vTt25dEIkFhYSHnnXceTz75JMOGDWPp0qW0bdt2h/XPPfdcDjroIAYPHky/fv245pprSCaTDBkyhAMOOID+/ftz7bXXlgeR2rRpw1133cXYsWPp378/kUiE0aNHV/sYXHnllYwdO5YRI0bU6ql6qQym6gSYrDqFmnZRbuXKlY3dB5GcCgsLWbduXWN3QyQnnaPS1OkclaZO56g0dS35HP2uKMlXS0vJawOxWMUo08bvPCwCR/eofu0dCWzdurVCUGXp0qXVevJbLpnDvtq1a5dz2JnsHGvXrmXx4sUUFBRgZpSVlTFixAjY8SGMqsEkIiIiIiIiLYvvge87IpEdx8iZBfOk7uoaDIrFYiRVEKtRpZKSqlPkW0PkREREREREpEXxwgBSJLLjLbFFwFNMQwSg2k+QAwWYREREREREpIXxvdwZGWaG7zdwh0SaqJqUVVKASURERERERFqUYAhc9htns1RhY0WZRBRgEhEREREREcnB9yBLjWIAIhFwzlDpHxHwfV9D5ERERERERESy8bzKM5jAkSxVoW8RZTCJiIiIiIiI5FBZjSUL75KTSQWYdkX33HMPp5xyCgMGDGDgwIG89957dW5z+fLldO7cmT/+8Y/l04qKith///25/vrra9TW4sWLueGGG+rcp4bgnCt/VUdsJ/dHREREREREpEnxPUfOIXJm4CBZpgBTXbXe/DGR5KZarx+NRoil1cLyY7tTutthOZdftGgRc+fOZfbs2eTl5VFUVERpaWmtt59u//33Z+7cuVx99dUAzJgxgx//+Mc1aiOZTHLUUUdx1FFH1UufGkp1h8gpwCQiIiIiIiIthu87fAeusiFyBiUlCjDVVSS5CXO1D/CYH8Hc9gBTVcGqNWvW0L59e/Ly8gBo3759+by7776bOXPmUFxcTLdu3bj99tsxM84880yOOeYYFixYwIYNG5gwYQI9e/bcoe02bdpw0EEHsXjxYo466ihmzJjB8OHDWb16NQAvvfQS9957L6WlpRQUFDBx4kQ6dOjAhAkTWL16NcuXL6d9+/aMGjWKSZMmMXXqVCZMmMDXX3/NV199xddff81FF13EhRdeCMDkyZOZPn06AOeccw4XX3xxrY9jbaWyl5pUgCkej/8ZGAasSSQSR2SZ/ytgVFqfDgU6JBKJong8/m9gE+AByUQi0a0h+iwiIiIiIiLNj++Bc2GmUhYWCYJMyTI9RW5X06dPH+6++25OPPFETjrpJH7yk59w/PHHA3D++edzxRVXAHD55ZczZ84cBg0aBASZRTNnzmTevHncdddd5YGdTKeffjrPPvssHTp0IBKJ8P3vf788wNSjRw9mzJiBmfHoo49y3333ceONNwLw/vvv88wzz5Cfn8+CBQsqtLlkyRKeeOIJtmzZwkknncSYMWP45JNPSCQSPP/88zjnGDZsGMcffzxHHLFDOGWnqkn9JWi4DKYpwERgaraZiUTiDuAOgHg8Phy4IpFIFKUtckoikVi3szspIiIiIiIizZvvO5wPZrkzmMygnkZWSQNq164ds2fPZuHChSxYsIBx48Zx7bXXMnLkSBYsWMD999/Ptm3b+O677zj44IPLA0xDhw4FoGvXrqxYsSJn+3379uWPf/wjHTp04Cc/+UmFed988w3jxo1jzZo1lJaWst9++5XPGzRoEPn5+Vnb7N+/P3l5eeTl5VFYWMjatWt5++23GTx4MG3btgVgyJAhLFy4sMEDTNAEnyKXSCTmA0VVLhg4B3hsJ3ZHREREREREWijPS2Vm5MhgMsPM8FTke5cUjUY54YQTuOqqq7jlllt44YUXKC4u5rrrrmPy5MnMmzePc889l5KSkvJ1WrduXb5uMpnM2Xbr1q3p2rUrkydPLg9Kpdxwww1ccMEFzJs3j9tvv71C+6lAUTap4Xyp7XueV+PMoZ0l1Y9oNFqt5ZvUU+Ti8XhbYDDwVNpkB7wUj8ffjcfjlzROz0RERERERKQ58H2H74e1lnKIRIJAlOxalixZwtKlS8vff/TRR+y7777lwZ727duzZcsWZs6cWettjB07luuuu65CfSeAjRs30rFjRwCeeOKJWrcP0KtXL1588UW2bdvG1q1bmT17dta6UDtbqgZTdQNMTa3I93DgjYzhcb0TicTKeDy+NzAnHo9/GmZE7SAMQF0CkEgkKCws3Pk9FqmlWCymc1SaNJ2j0tTpHJWmTueoNHUt9RyNRUrJa70BawP5+dlvibdtKaF162iLPD51sXr1amKx7cc0Go1gft3yWqKR7eu7SKRC+5lKSkq47rrr2LhxI9FolAMOOIA777yT733ve/zsZz9jwIAB/OAHP+CYY44hErZlZkSjUWKxGNFoFDPbYRupAEssFuPwww/n8MMPL5+eaudXv/oVY8eOZZ999uG4445jxYoVxGIxIpFI+TKpdVLbyJyXmn/MMcdw9tlnc9pppwEwatQojj766Dodx9pIDY/bY489aNWqFUClT+Wzhkq9isfjPwSez1bkO22ZZ4AnEonEoznm3wRsTiQSd1Zjk27lypW16apIgygsLGTdOpUWk6ZL56g0dTpHpanTOSpNXUs9Rzd8m+SrpaW0ag2tWmUPfmz41iMag6O6t2vg3u3atm7dWmE4WOvNH1f55LfKRKMRPG97sXU/tjulux1Wpz5K9ZWWlrJ8+XK+++678jpMZWVljBgxArKMMW0yGUzxeHxPoA/ws7Rp7YBIIpHYFP57EPD7RuqiiIiIiIiI7OI8L3i1qWTUTyQCnh4iV2d1DQbFYrFKayJJw6huke8GCTDF4/HHgL5AYTweXwHcCLQCSCQSk8LFRgAvJRKJLWmrfh94Jh6Pp/r6aCKRmN0QfRYREREREZHmx/cd4IhEckeYzMAvaxqFlkUaS01HvDVIgCmRSJxTjWWmAFMypi0Fjto5vRIREREREZGWxvfAcjxBLsWUwSRS4wBTk3qKnIiIiIiIiMjO5PtkqR5TkZnhfNdkHhe/q9Dxan5q8pkqwCQiIiIiIiIthucFQ+QqYwbOQTKpgElNRCIR1UxqRsrKyti2bVu1l28yRb5FREREREREdjbfg6pSmCJhKkayFMKns0s1tGnThuLiYkpKSqpdGLoyeXl5lJSU1EPPpKacc6xdu5Y1a9ZQUFBQrXUUYBIREREREZEWI1XkuzKp2EhZ0idfA3+qzczIz8+vt/YKCwtZt25dvbUnNbNhw4YaLa8rRURERERERFoMz6t6GYsEEaZk2U7ujEgT5Xkevl+zSvcKMImIiIiIiEiL4JzD+VXXVUplMJWW6FFy0jJ5nodzjkik+mEjBZhERERERESkRfC9oHh3VSIWBJnKylTkW1qmVAZTTWppKcAkIiIiIiIiLYLnO5wDq+JOODW/rFQBJmmZksmkhsiJiIiIiIiIZON7QZFvq+IpcmZGxCCpDCZpoVIZTBoiJyIiIiIiIpLBT2UwVWPUj0WsWgXBRZojz/NIJpNEo9Fqr6MAk4iIiIiIiLQIvge+54hUI8AUiYCXVAaTtEye5+F5ngJMIiIiIiIiIpk8DzwfIrGqlzUzaliCRqTZUIBJREREREREJAffd/hekJ1UFTPwPGUwScuUTCYBFGASERERERERyeR74JwjUo0xchYJhtOJtEReLQqQKcAkIiIiIiIiLYLvBwEjq0aVb7NgOJ1IS6QAk4iIiIiIiEgOnkf1HiEHRCKG7zmcUxaTtDye51UrEJtOASYRERERERFpEXzfYVQvYGQGOD1JTlomBZhEREREREREcvA9gOrdNJuBA8qSO7NHIk1Tqsh3TSjAJCIiIiIiIi1C8FS4amYwhXfLyTIVYpKWx/O8Gg8PVYBJREREREREWgS/BrGiSJjClCzbef0RaYp838evycUSUoBJREREREREmj3nHL5X/YwMiwAGZWWqwSQti+d5+L6vGkwiIiIiIiIimXwfnKtuBaagBpMBZSUaIictiwJMIiIiIiIiIjmkAkzVjTBFLFi2rFQZTNKyKMAkIiIiIiIikoPvOZzvgtSkarCIYRoiJy1QqsC3AkwiIiIiIiIiGTwPfAdWzafIAUQihlfzp7WL7NKSySSe5xGNRmu0ngJMIiIiIiIi0uz5vsP3g8yk6jIDTyWYpIXxPI9kMqkAk4iIiIiIiEgm3wuGyUVrcBdsEcOrwZPnRJoDz/PwPI9YLFaj9RRgEhERERERkWYvlcFUk6SMiAVBKZGWJJlM4vs+kUjNQkYKMImIiIiIiEiz53lBkCkSrcEQuUiwjkhL4nkeZqYi3yIiIiIiIiKZUoGimtw0m6Ei39LipAJMNaUAk4iIiIiIiDR7vgdGzW6azQxfRb6lhfE8r1brKcAkIiIiIiIizZ7nObCaDXeLRMB3Dk+PkpMWJJmsXdqeAkwiIiIiIiLS7AWZSDXNYAKcUcv7bZFdkobIiYiIiIiIiOTg1yKDKbjHdiRLlcEkLYfneThX8+L2CjCJiIiIiIhIs+f7QA3vmS0SZHEog0laCuecMphEREREREREcglqMNXwsesGOCgtrXk2h8iuqLbZS6AAk4iIiIiIiDRzvu9wDqjhjbNFAIMyBZikhfA8D9/3lcEkIiIiIiIiksn3gthSTW+azYJXWZlqMEnLoACTiIiIiIiISA6e73C+w2pR5NsMykp3UsdEmhgFmERERERERERySGUwQU0zmIyIGV5SQ+SkZUgmk3ieRyRS83CRAkwiIiIiIiLSrPm+w/fDmko1ZBHw9BQ5aSE8z8PzPGKxWI3XVYBJREREREREmjXfA99z1CIpAzPD85XBJC1DKsCkDCYRERERERGRDJ7n8HyI1jKDyfcUYJKWQRlMIiIiIiIiIjn4fpDFFInWfN2IgefVf59EmqJkMomZqci3iIiIiIiISKYgA8nVatiPmTKYpOXwPK9WwSVQgElERERERESaOc+Hmj5BLsUiqfVFmj+vDul6CjCJiIiIiIhIs+Z7rrbxJcwM5zucCn1LC5BM1v6RiQowiYiIiIiISLPm+2DULkBkBjhIlinAJM2fMphEREREREREcvA9qG0KUyQCDihNKsAkzZ9qMImIiIiIiIjk4IVFvmsjda/tKYNJWgDP83Cudue6AkwiIiIiIiLSrPl+bcNLYJEgwlSH0jQiuwTP8/B9XxlMIiIiIiIiIpmcCwp01/KemTC+RGmJHiUnzVsqe0kBJhEREREREZEMngfOgdUyhckseJWWaoicNG+pDKbaUoBJREREREREmi3fc/iO2tb4xsK7Zj1FTpq7ZDKpIXIiIiIiIiIi2fg+4RC52t00mxmRiAJM0vylMpgikdqFihRgEhERERERkWbL910wRK6WGUwQBJk8r/76JNIUeZ5HMpkkGo3Wav1YPfcnq3g8/mdgGLAmkUgckWV+X+BZYFk46elEIvH7cN5g4B4gCjyUSCRua4g+i4iIiIiIyK7P88DzHLVMygAgEgEvqQwmad48z8PzPPLy8mq1foMEmIApwERgaiXLvJZIJIalT4jH41HgT8BAYAXwTjwefy6RSHy8szoqIiIiIiIizYfvBa9WrWvfhplRh9rHIruEVICpthlMDTJELpFIzAeKarFqD2BJIpFYmkgkSoHHgdPrtXMiIiIiIiLSbPm+w/epUwaTRSDpKYNJmrdkMglQ6xpMDZXBVB3Hx+PxxcBK4KpEIvER0BlYnrbMCqBnY3ROREREREREdj2eDhL6QgAAIABJREFUB865Wt80Q1C/SUPkpLnz6lhorKkEmN4D9k8kEpvj8fhQ4O/AQWR/kGTOqzoej18C/P/s3XuQJGta3/fv+2ZWd8/MOWcvZ3b3sOyFXW5CgcCS8CIbvIBtkEDC+gMpzW0JELAGsSIcoZAIWzY4NkLYITuQMRcRgFYsyFxSITDYrARYGO8ijC2kEA6QxSKxV/bsnDPnnJmerurKzPd9Xv+RVT09PV3dWdVZl676fSI6ZrqqO/Od6ayuzCefy9sByrLk9u3by1irSC/yPNcxKhtNx6hsOh2jsul0jMqm25VjtBqNODh4wBNPLF4jF0PD8TDsxP/XJtmVY3RTPPfcc9y4cYNbt27N/Jq6rmc+txEBprIsD0/9/T1FUfxgURS3aTOWXn/qS19Hm+E0azs/DPzw5NN09+7dZSxXpBe3b99Gx6hsMh2jsul0jMqm0zEqm25XjtGXXmoYjxuGw2bhbVSVcTyOPP/887irjKOTuezKMbop7t27x3g8Zjgczvyappn9OtqIAFNRFM8Ad8qyTEVRvIW2N9QLwD3gU4uieBPwh8BXAl+9vpWKiIiIiIjIdWKWcO5q5W3OQUoQQmIwUIBJttO0B9OiVhJgKorip4AvBG4XRfFR4LuAAUBZlj8E/AXgW4uiCMAx8JVlWSYgFEXxDuCXgAx416Q3k4iIiIiIiMil2rYyVwsKuUn7phBgMLjykkQ2UozxShl6KwkwlWX5VZc8//3A98947j3Ae5axLhEREREREdluFhMXtPLtxE+uuUNtcGMlw9hFVi7GSEqLv1b0yhAREREREZGtZXb1bTjnILUZTCLbyMyuPEVOASYRERERERHZSimlSQbT1TgPOGjqq29LZBNNs5euUiKnAJOIiIiIiIhsJbO2OfdVOdd2cWqqHtKhRDZQjBEzU4BJRERERERE5CyLbYDpCtfMwKQHk4O6UQaTbKcQggJMIiIiIiIiIucxSyS7WtkPgPMO5yAowCRbShlMIiIiIiIiIjPECJbgqlPkALx3RDX5li0VYyTGSJ7nC29DASYRERERERHZSmYJszY4dFXOtQErkW00DTB5v3iYSAEmERERERER2UoWwWIi6+HK13tH7GEincgmCiEog0lERERERETkPBYT0cAvfs18os1gUoBJtlOMkZQSWZYtvA0FmERERERERGQrRYNkqZ8SOd9uS2QbxR7qPxVgEhERERERka1kk4yjq06Ra7cBQT2YZEvFGK/8OlGASURERERERLaSGTiuHlyCNkilDCbZViFcfUSiAkwiIiIiIiKylWJM4PoJCnkPKUGM1sv2RDaJSuREREREREREZrAI9JbBBCk5Qt3L5kQ2igJMIiIiIiIiIjOYJaCfDCbnARIhKINJto8CTCIiIiIiIiIzWI9NuacNkJumv22KbIKUkpp8i4iIiIiIiMwSe2zK7SfX3k2jRt+yXWKMmF09M08BJhEREREREdk6ZonUYyzITa6e61olcrJdYoykHl4sCjCJiIiIiIjI1rEIybhy2c+Uc+1HqJXBJNtlmsHk/dVCRAowiYiIiIiIyNaJliZZGT01+Z4EmNSDSbZNCAEzUw8mERERERERkbMsgvWaweTw3hGCMphku8QYiTEqg0lERERERETkrGkPJtfjVa9zEEN/2xPZBNMAU57nV9qOAkwiIiIiIiKydSxCjIkrJmU8wjmHRWUwyXZRBpOIiIiIiIjIDDEmLELWZ4DJt5lRItskhKAMJhEREREREZHzmLUfPutvm95BjP1tT2QTxBhxzqnJt4iIiIiIiMhZbSlbunLZz2nOoRI52TrTANNVKcAkIiIiIiIiWycaQD8T5Kacd5PtimwPBZhEREREREREZrCYwPWbbeQcJEuYokyyRUIIpHT114oCTCIiIiIiIrJ1zPrOXwLvISUIoecNi6xR7KmxmAJMIiIiIiIisnXaXkk9l8hNNtcE9WGS7aESOREREREREZEZ2qSM/kvkAEKtAJNsD5XIiYiIiIiIiMxgS2ryTYKgDCbZEjFGUkrKYBIRERERERE5K1kiWf9Nvr0DHNSVAkyyHfrKXgIFmERERERERGTLRGubcfefwdSWyTWNAkyyHWKMmBneXz08pACTiIiIiIiIbBWLCUvge85gcq4NWTXqwSRbYhpg6oMCTCIiIiIiIrJVzNoyuf6nyDmcdwRlMMmWiDESY1QGk4iIiIiIiMhZFhNmfYeXWt5PG4iLXH/TAFOWZVfelgJMIiIiIiIislWigVnCX/2a+THOQdQUOdkS0wBTnudX3pYCTCIiIiIiIrJVLCYssqQAk8OiAkyyHUIIhBCUwSQiIiIiIiJylln7kS3hitd5CCqRky0RY8Q5px5MIiIiIiIiImfFCCkl/BIiTM6hDCbZGtMAUx8UYBIREREREZGtYjEtp8M3kybfcTnbFlm1GPs7mBVgEhERERERka1iBqTlRJicc5glUlIWk1x/IYT1ZjAVRXGjKIq9XlYgIiIiIiIi0iOLCeeWEwByDhIQNElOtkCMsbdgaacAU1EU/0NRFG+Z/P3PAi8C94qi+PJeViEiIiIiIiLSk2i0kaAlcB5IEOqlbF5kpdbRg+lrgN+Z/P07ga8F/hPgu3tZhYiIiIiIiEhPLCZYUgmbn1yLB42Sky3QZwZT3vHrbpZlOSqK4mngzWVZ/kOAoije2MsqRERERERERHpixtKafDvnSAmaZjnbF1kVM+u1yXfXANP7i6L4GuBTgF8BKIriNnDc20pEREREREREriilNMlgWs72nW+r70KjHkxyvU2zl/oqkesaYPrLwPcCNfCNk8f+NPDLvaxCREREREREpAdmS6uOA9rgknNQVyqRk+stxoiZrTzA9JGyLP/90w+UZfk/F0XxT3pZhYiIiIiIiEgPLCZSWlqPb/ykk3GjDCa55kIImBned23PfbGuW3n/jMf/VS+rEBEREREREemBGSTrr+znLOcczkFTK8Ak19s0g6kvXQNMj70yi6J4ClBOoIiIiIiIiGyMGMESS2vyDeC9w/rrjSyyFjFGYozkedfitotduJWiKD5C2xrtRlEUHz7z9NPAT/WyChEREREREZEemCXMIFtigMm5NpAlcp2FEIgxMhgMetneZWGqr6WN+74HeNupxxNwpyzL3+tlFSIiIiIiIiI9sAgxJgb9JGWcy3tHjCqRk+ttmsGUZVkv27vwJVeW5f8JUBTF7bIsR73sUURERERERGRJLLYZTL6fa+ZztRlMCjDJ9RZjJKW0mgDTKaEoircD/w7wxOknyrL8usu+uSiKdwF/DniuLMvPPOf5rwG+Y/LpEfCtZVn+9uS5DwIPgAiEsiw/p+OaRUREREREZMfESZPvviZjncd5BZjk+os913l2DTD9OPBZwP8K3FlgPz8GfP9kO+f5APAFZVm+VBTFlwI/DHzuqee/qCzLuwvsV0RERERERHaITQI/y5oi125bPZjk+gsh9Po66Rpg+tPAm8qyvLfITsqyfG9RFJ90wfO/cerT3wRet8h+REREREREZLeZgVvmCDnAO0eKGqou11uMsdcAU9ecwQ8D+73t9WLfCPyjU58n4JeLovjnkzI9ERERERERkXPFmMAtt3zN+fZCNQYFmeT6mvZg6ss8JXI/XxTF93KmRK4sy1/tazFFUXwRbYDp8089/HllWX6sKIpXA79SFMW/LsvyvTO+/+3A2yfr4vbt230tTaR3eZ7rGJWNpmNUNp2OUdl0OkZl023rMXr/hQc8OBhx69be0vbhCFTjmiefeiU3by5xXN2O29ZjdFPcuHGDg4MDbt261fl76rqe+VzXV8I7Jn9+95nHE/Dmziu5QFEUnwX8KPClZVm+MH28LMuPTf58riiKnwPeApwbYCrL8odp+zcBpLt31bZJNtft27fRMSqbTMeobDodo7LpdIzKptvWY/T+/YpqHBgOm6Xto6qMuo48d+cuTzypANOybOsxuinu37/PeDxmOBx2/p6mmf266vRKKMvyTZ33toCiKN4A/CzwtrIs33/q8VuAL8vyweTvXwK8c5lrERERERERkevLYpsJsUx+0rcmLC+GJbJUKaXeezCtJNRaFMVPAV8I3C6K4qPAdwEDgLIsfwj4TuBp4AeLogAIZVl+DvAa4Ocmj+XAT5Zl+Y9XsWYRERERERG5fqItO7zUTpEDaOrl70tkGWKMmPXbQ6xTgKkoiqeA/wb4AuA2PGzJX5blGy77/rIsv+qS578J+KZzHv8D4LO7rFFERERERER2m8VEjz2LZ3K+vSiuazX5lutp2uB7HVPkfhD4E7Tlaa8E/grtZLm/3dtKRERERERERK7ADJI9zDBaFucAB02jDCa5nkIImNlaAkxfAnxFWZY/D8TJn/8p8LbeViIiIiIiIiJyBTGmXseuz+Jc+xFUIifX1LREbh0BJg/cn/z9qCiKlwPPAp/S20pERERERERErsCs/XB+uSlMzjm8d4Sw1N2ILE2MkRgj3ncNC12ua5Pv36btv/RPgPcBPwAcAe+/6JtEREREREREVsViWkmJHLT7iHH5+xFZhmmAaW9vr7dtdg1VfTPwwcnfvx04Bl4OfF1vKxERERERERG5ArO2TC7rLyljJuccFlUiJ9dTCIEQAlmW9bbNSzOYiqLIgK8H/iZAWZbPc87ENxEREREREZF1ijFhBoPB8vflfbs/ketoOkWuzwDTpXHdsiwj8G1A09teRURERERERHpmEcwSvr9r5pmcazOmRK6jOKnvXEeT73cD39LbXkVERERERER6ZpYg0Wvj4lmchxiUwSTXUwih1+ASdG/y/RbgrxRF8deBjwAnr6KyLN/a64pEREREREREFhAjsOQJclPOOSwpwCTXU4xxbQGmH5l8iIiIiIiIiGwks4RjNUEf5yBZIkYjW0VXcZEeTXsw9alTgKksy3f3ulcRERERERGRnlkEWE0Gk/eQcIQAPfZJFlmJtWUwFUXxl2Y8VQEfBX6zLMuqt1WJiIiIiIiIzMlsdSVrzgEpEZrE/v7KdivSixBC79vsWiL3dcC/B9yhDSi9DngN8FvAJwEURfHny7L8rd5XKCIiIiIiItJBOxhrRSVyk6q40KgPk1w/ayuRA34X+NmyLP+n6QNFUbwD+CPA5wN/A/g+2iCUiIiIiIiIyMqZwapK5JxzkBRgkutnGcElgK6dyL4a+P4zj/0d4GvKskzAfw/80T4XJiIiIiIiItKVWZqUyK0m4OMd4KCuFWCS6yWEgJnhfb/N6btu7Q7w5Wce+7PAc5O/HwBNX4sSERERERERmYcZpETvjYtncb7tw9TUtpL9ifRlmsG0libfwLcD/6Aoit8BPgK8HvhM4C9Onv9c2hI5ERERERERkZWzmCYBphX1YHJtMV6jVAu5ZmKMmPUfGO0UYCrL8peLovhk4EuB1wLvAX6xLMsXps8Dv9z76kREREREREQ6MINkiVX2YHLeqQeTXDsxRmKMvZfIdc1goizLu8BP9Lp3ERERERERkR7EmDBbVXip5f10cp3I9TENMGVZ1ut2ZwaYiqL4x2VZ/pnJ39/HjE5pZVm+tdcViYiIiIiIiMzJrG307TunUVydcw6LymCS6yWEQIyR/f39Xrd70Uvvx0/9/Ud73auIiIiIiIhIjywmLMJgb3X7dK7NnBK5TlaewVSW5U+e+vu7e92riIiIiIiISI8stllMWb9tZS7kPEQNkZNrJk7qOtfWg6koiv8A+OPAE6cfL8vyu3tdkYiIiIiIiMicoiVSSvieszIu4hzEoAwmuV5ijDjXf7eyTgGmoii+DyiA9wHHp57SK0lERERERETWziJLuWi+iPftfkWukxDCUrbbNYPpa4DPLMvyY0tZhYiIiIiIiMgVmLHyFAjnHGZGSmnlwS2RRcUljT7sWnD3EaBaygpERERERERErijGBG61ESbnICUIKpOTa2RZAaauGUzfCPxIURQ/Bdw5/URZlu/tfVUiIiIiIiIic7BIG/FZoWmP5FDDYLDSXYssLISwvh5MwJ8EvhR4K4/3YHpD34sSERERERERmYdZatOJVmh6jd4E40bnAiGR9YoxkpbwWukaYPpu4MvLsvzfe1+BiIiIiIiIyBW1GUyr3afzjgSEZrX7FVmUmWFmS9l21xDrEFApnIiIiIiIiGyclNIkg2m1+3WujWk11XIu2EX6FkJYWlP6rhlM3wn8j0VRvBN47vQTZVnqlSQiIiIiIiJrY3Hl1XEAeNcGmZpGTb7leogxYmZrDTC9a/Lnf3bqMUcbH856XZGIiIiIiIjIHMwSKa28xzduUhPU1AowyfUwDTB533/PsK4Bpjf1vmcRERERERGRHsTYBpmWkZVxEeccXhlMco2sPYOpLMsP9b5nERERERERkR6YTUrkVpzBBG2jb4ur36/IIkIIxBjJsv6L0ToFmIqieBnw7cAfB544/VxZll/S+6pEREREREREOrKYsJjI1hBg8h5iVAaTXA8xRmKMDAaD3rfdtUTuH9D2Wvo54Lj3VYiIiIiIiIgsyAyiwaDrFW6PnHNEZTDJNRFjJISwvgwm4E8BT5dl2fS+AhEREREREZEriDFhEfz+6vftnDKY5PqIk2joMgJMXduG/zrwGb3vXUREREREROSK2h5MCe9XXyPnfNtgXOQ6CCEsbdtdM5i+HnhPURT/N3Dn9BNlWb6z70WJiIiIiIiIdGUx4WDlU+RgmsG08t2KLCTGuLTXSdcA098EXg98EHjq1OMK04qIiIiIiMhaxUgb6VkD7xwpGimltQS4ROYRlxgN7Rpg+krg08qyfHZpKxERERERERFZQFuitp78B+chpTaLKssVYJLNtswMpq49mP4AUINvERERERER2TgWAdYT3HGuDW3VumKWayDGSErLCcZ2zWD6CeAXiqL4Ph7vwfSrva9KREREREREpCOzhFtjBhNAaAxudM3hEFmPTWjy/W2TP7/7zOMJeHN/yxERERERERGZT4zraxDsJ+VGcXnX7SK9SClhZkvbfqcAU1mWb1raCkRERERERESuoO3BtB7TdjZ1rRlYstlijJjZ2nswiYiIiIiIiGwci4mU1tWBqS2Rc0BTLy8zRKQPIQRSSni/nFDQhRlMRVG8j0syDcuyfGuvKxIRERERERHpKBokY20RJufafTeVMphks00zmJblshK5H13ankVERERERESuyGIirblEzjkIQQEm2WxrDTCVZfnupe1ZRERERERE5IrMwBI4v54UJucc3juWOJxLpBcxRmKMZFm2lO2rB5OIiIiIiIhcWzEmzB42214H59pJdiKbLIRACIE87zTvbW4KMImIiIiIiMi1ZbEtk8vWeHXrvCNGlcjJZptmMCnAJCIiIiIiInKGWZvB5JdT9dOJd22QS2STxRiXOkVu5laLovjNU3//rqXsXUREREREROQKLLZBpiVdM3fiXLsGkU0WJ3Wcbkn1pBe9BD+tKIqDyd//6lL2LiIiIiIiInIFcRLYWVZWRhfOQ1STb9lwIYSlBZfg4ilyPw+8vyiKDwI3iqJ473lfVJblW5exMBEREREREZHLWGS9Hb5pM0KUwSSbLsa4ngBTWZbfUBTF5wOfBPy7wN9d2ipEREREREREFmCWcKw3uOMcpJSI0cjW2W1c5ALTHkzLcmHr8LIsfx349aIo9sqyfPeiOymK4l3AnwOeK8vyM8953gHfC3wZMAK+vizLfzF57s9MnsuAHy3L8r9bdB0iIiIiIiKyXSwCrDeDyXtIyRECZGtsNi5ykXWWyJ0oy/JdRVF8EfA24BOBPwT+flmWv9pxPz8GfD/w4zOe/1LgUycfnwv8HeBzi6LIgB8Avhj4KPDPiqL4hbIs/1XH/YqIiIiIiMgWizHBBmQwQSLUif39tS5FZKZpk+9l6ZS7VxTFNwE/A3wc+FngWeAni6L45i7fX5ble4EXL/iSPw/8eFmWqSzL3wReXhTFJwBvAf5NWZZ/UJZlDfz05GtFREREREREMFv3Ctom3wAhqA+TbKa2hHONJXKn/HXgi8uy/O3pA0VR/AzwD4Ef6WEdnwh85NTnH508dt7jn9vD/kTEavZGv09989PAD9a9Gtkwe6P3Q7Xe/gFNTPyLjx3xx565yc2Bcs1FRBbxoQ99iFe+8pU8+eST617K2lWjlxg9+y956o2fR5bvrXs5MvG7d0a84kbOa59a/GdiMXGlErlk3PjAv6R65pOxmy9baBPeOUgQmsUv3pum4cMf/jBvfOMbyfOul+rbK6ufg8OXgFeseylbYRpcWnuJHPA0cLYs7feAV/a0jvP+hbN+S8x8xRZF8Xbg7QBlWXL79u1+VieyBHmer/cYPX4Wxi/BwTE89QnrW4dsHquhfoA//B1uv2p9g0I/fjjm+eaYjxznfN4nPL22dcjmWvvvUZFLrPsYbZqG4+Nj7t69y5ve9Ka1rWNTPP/BDzIafoQ83OPpZ/7oupezEdZ9jKaUePbDFc9Wxme9ebF1mCWevXmPuq65dWuxIJUbHbJ/eIc838M+47ULbSME4+jBmP39J7h9e7GA7vPPP8/R0RFN0/DMM88stI2t8sKH8Pf+P26/4SvWvZKtMB6PuXHjBlVVcevWrYW3U9f1zOe6Bph+Hfieoii+oyzLUVEUt4D/FviNhVf1qI8Crz/1+euAjwF7Mx4/V1mWPwz88OTTdPfu3Z6WJ9K/27dvs85jNB8/y8HRXZrw+1T1U2tbh2weHx5wcHSfm/ld7rr1HaMffWnM8/ceUB8f8+lPKd1cHrfu36Mil1n3MTocDjk8PGQ4HCrABNx/4Vmq4/s8/9HfIx28et3L2QjrPkZHTeTwwREfuj/mP37DwULbCE3i6KiirozhsFloG/m9u7jjEc3HP8L4DY/NpOrELNE0gRdfuM8TL6sW2sadO3d48cUX+cAHPsCNGzcW2sY2OTh8nieaj3P3zh9CpsZWVzUajTg6OqKua4bD4cLbaZrZr7OuAaZvoe1/dL8oihdpM5d+A/iqhVf1qF8A3lEUxU/TlsDdL8vy2aIongc+tSiKN9E2Fv9K4Kt72qfITvM2xllF1txb91Jkwzgb46yG5nCt6xg1xqg2zBY7WRQR2XV1XdM0zZUuJLZJakZgkWb43LqXIhOjxqijce948cbDZolk4NziN6N8NYSmwVdHC2/DufbjguSOS1VVRdM0PHjwYPGNbIuUcDaGcIwPh1j2qnWv6NqLMS69yXfXKXLPAl9QFMXrgNcCHyvL8qNdd1IUxU8BXwjcLorio8B3AYPJtn8IeA/wZcC/AUbAN0yeC0VRvAP4JSAD3lWW5e923a+IzOaswhFxNlr3UmTDuEnwEVdDStOxKCs3aowqJuISGxGKiGyzqqqo65oQwtL7blwHKYwAw9Z8A0UeGtXGOCQaS4xD5CCfv+dijEyaFi9+fPv6GJoaf4Vm4c45nHPEKzT5ruuaGCPj8XjxhWwJl2pIETCycA/bV4DpqmKMmBlZtrzepnN1DpsElToHlk5934WZTmVZJuDbZjz3HtoAlIj0yMVjsIhHASZ51EkGU5ZwdkzKbq5lHcM6Esyol3ujRURka00zmFJKJ703dlo8hmS4qIv3TTGsI8MmknnHi6PAa5+a/8LXLGF2tfthfjwEM1xTtyPp/GKDTrxvA16LqqpKAaYJZ2NcCoDHh4sG0ktXIQRijEsNMK13RNCyqaxC5HzJ2gwV4uRPkYe8jYEAKeHD/bWtY9QYjUEVjDooyiQiMq/pxSrA0dHipT/bIFRDkgUgtTdRZCMMG6MOCQfcHS127WbWTpHzV7hmdvVosiHDHS+e4eacm0y0m19K6SSD6aImyrvi5Ian82TKOuzFtERumRMKtzrA5KMORJHzOJumnObtnYF4vO4lyQZxNqatSnZrCzAFS4yDkXuwBC8ch7WsQ0TkOqvr+uRO9a73dGnGhyQLGBku1STTjYtNMGqM3DsyB88eLRhgiukqSUcA+GpEHBwACT+8SoAJ4oIBprquMTPyPCfGSFXt9k1gF8ftOWl2E2+6VunDRgSYiqLwRVH8h0VRLDbzcY28mheLnGuacmp+D0hkQcFYmUgJZxXJ5+AysuaFtSxjVEeCJW7kngTcHSrAJCIyj2k2RJZleO85PNzt9/pYH2GxAddeWI0fPL/mFQm0JXK5h0HmeHHB9/oY249Fq35cU0MMhP0nwDn8g8WvIb2HuGAfp2m/tMFgQEpp57MOvY1xKUF+Qz1jezLNaF1mP75LA0xlWRrw82VZXrs8vSy8tO4liGykacpp8m0vBq/Xiky4VE2y2zxke2sLPrYp88ZB7skc3Bleu7cgEZG1mpbaeO8ZDAY7P0kuVg9IocblN3AkqiNNklu3aIkqGgnYzzwPFmy6aJaAhF+0b9KkPC4MbpF8jj9a/LzYObAFm3xPJ8gdHBwAyjp0VpFw4AZtJlO6Qgd2AdoeTMse9tD1Vfjeoij+1FJXsgQavy5yPm9tyqllT5DI8I0CTNJycYxLDQnfvqGvqRHqqDFGwbi15xlkThlMIiJzmmZDOOfIsmzny22sGWHJyAb7JKB+8PF1L2nnjRojxIR3bQbTUb1YAMEiuKtMkBsPIQRssE8a7OOPFw/suCtmME0DTMo6BDcti/MDXDJlMfUgXqUDfUddi+8+BPyjoih+HvgIcBKWLcvyO5exsD64qINQ5DzOxu0kV5+DH6hETk48zG7bA284W0+gflhHqpB4+qZnL/McVuqVISIyj2mAadrPZdenUqVmSEptsM3whOP1lIDLQ6MmUlti4D044/AokFKaO8PCDK4QX2obfIca27+J5Qe48eLZfs45ktlC/46qqkgpkec5eZ7vdolciu35KIAfAIYPh8TsiTUv7HpbRYCpawbTDeB/oQ0svQ54/amPjaVmYCLna+8ItG96yeV6rcgJb2NcrEhuv71jdNIQfrVGjbUxUOfYu8JdTRGRXVVVFXUssbO+AAAgAElEQVRds7+/T5ZlNE2D2Q7/Lp0MNHHOk1xGana7ZHATDGtj1BgHA8ee9zSWFnq/b5tqL1aWBm2D75QcZANssI+vFk9ScA5SgrBAmVxVVSdBqTzPdzoo7GzSssG5SYDJkdWquLiqGOPSS+Q6ZTCVZfkNS13FkrS1mqk9MEXkhLcxafK+l1w+mRomMp0glybZbQ5HxIUj0uBlK13HqLGTaTB7meOwWuyupojIrqrrmpQSWZaR5zlmxmg04okndi8DwGKAUyXfCZ37bIJhExk3xitvDLDU9mJ6Ydjw5P583botcqXrPV+NMD/AOYcNDnChJjU1bjD/jKvpuUuoYTCY73vr+mG/ySzLHvl81zir8Cm0NYcub1t6hBfXvaxrL4T2fHqZOs+nK4riM4C/ALymLMt3FEXx6cB+WZb/79JWd0UuRZwdk7Kb616KyOZIEaw5uVBPboAPD9rGee4K811lK7Qn3JOTNDegnTJ4n7DiANOwjic3IweZp4ntXc15TzpFRHbV6Z5L2WS81tHR0U4GmEJ9RLJTzW19trYeg/LQqDa8e5it7IDnhg2f9MqDubZjluAKF82+GhF8Gw2yfB9Swo8OSS+7Pfe2podYE4wbnYuF2sySpmlOPs/znOFwiJkt3Lz8OvM2Bhtjbn+SxbRHFne4ZLAnG1MiVxTFXwTeC3wi8HWTh58EvmdJ6+pJwof7616EyEZxNsalSJoGk1yOw3BBv7Rlkt128smAhMc3q71jVAWjiYlpoGsvc+1dzWM1+hYR6epsuY1zjvv3d/O8OIwfkCzi/fQGSoYjEmq1CFin4aQcHtom35lfbGpsjFcokEuGr48x3+Zd2GAfSPjhYq8VNznGQnPJF55R1zVmdvKazbKMlBLHx7t5jDo7xqca3D4wqbiIu/l/0ZcY40rKpLuGQ98JfHFZlt8CTMNevw189lJW1SMFmEQe5a2dEna6BxMkfFSj7513kt02+dxl4DKysNpG38PGaCyRT5KV9jIHJJ5f4KRTRGQXxRgJ4WFQ3ntPlmU7O5Uq1kdYrHGTIIL3GZAYP3huvQvbcaMmniRNe+fYzz0vHc+XYZFSIllauMe3q8ekZMRsEmDKD8B5/IPFbq5Nz6Hqar4L+aqqCCGcZBvmeU5KaWcbfbvpDU/f/n+0LT0UYLqKGCMppaVnxHXd+qtpA0rwMEB8tW5qK5DIyFZ8511k07k4xlmFuTb9OKlxnky0fesCafrW4FxbQhlX2wh1VEeqYOSTk7RB5si9487RnLcDRUR2VF3XxBhPLiScczvdNDhWbYDJT3rquKwth6oe3FnnsnbaSbZyehgaGnjHg3q+AJPFK1XHtQ29Y8SySb+lLCdlA/zRYjfXvGuDTE0z36Lquqaua/b22nVkWYZzbmeDwv5MCWtyA/yaBs9si2kG07L7mXYNMP1z4G1nHvtK4P/pdzk90/h1kcc4G4M14Pcnj2Qkl5FFBZh23cOGiqf6HLnByqcMDpt2qszNvXYdbW8Gz4sjlciJiHRR1zUhhEfuVGdZtrMBphSGpAR+0mcn8xngaI4UYFqX46YNMGWnrnX3c89ozily0VI702nBpAxfjaBpsMGNk8ds7wA/Xuzm2nQdTT1fgKmqKpqmYTDpDJ5lGd77nQ0wPdITFNrhMxguPFjXkq69VZXIdW3y/e3ALxdF8Y3AraIofgn4NOBLlrayHqhWU+RxJ7+wp9HrkyyV3UzBlYd8PMbZmOgeNtdMPsevuD/XqDGiJfbzh2eLe5njaM67miIiu6qqqkeyIaAtudnVfi6pGbZj6Cd8lgEeq3RzbV2Omsg4GPmpCNMgc4yaSLRE5rtlWVhsm3y7BYvkfDWC0JD2bpxsIeX77eMLcM7hHYQFMpiccyfZJdOsw9FosXVca9ZAevSm4rSlRxbuEQYvX8+6rrkQwkqaxnfaelmW/xr4I8APAP8V8PeAP1aW5e8vcW1XplpNkcf588byuhwfd/ANTB7hrIJ0OrutTUl2qYFYXfCd/RrV8bFpw3uZYzjnXU0RkV01zWA6G2BqmuaRSVU7I445G38wl0PQdcK6jGrjuDFuDh7+YPa8wxLcm2Ooh00zmBas+vH1CPMZLnuYvW2DgzbAtGDtnfOOeYd1nW7KP5Xn+SPTIHdFO5AokHj4M0muHTyTNQoKLyrGSIzxpM/XsnQOX5VlOQL+KfBrwPvKstz4dIfkBpMLJl2UiEw5e/wkK7kBnBd4kp1yEpA/dYLzsAn86lKS26kyjx6kg8xzPLmrKSIiF5telJ6+YJ1Opdq1psExVKRYn9M5NgPbvYv3TTGaDPQ4m62cgLvzBJgiWEx0THh6jK9GmN975DHL99sNL5jF5D3EMH8G01m7GmDyNsZZwyOhCpeBy1c+eGabTIc/bESAqSiKNxRF8T7gg8AvAh8siuLXi6J44zIXd2Uavy7yKKsfSzmFSRmU1W1Kquwsb+PHT8BdDinhm9W8oVtKHDdGOrOQvcwRE9wbqw+TiMhlpuU2p00vKnYtwNQcH5JSOBkff8J7PDrvWZdhE8nco0HQQebxDu4cdZ8aGyNEm7ToWYCvRqQz32yDg/bcZ7RY/yPnHPO0ummahnhOylOWZTRN88hEyF3gbDKQyB888nhyA9yKB89sk03LYHo3baPvl5dl+WrgFcA/mzy+sR7Wat5f91JENoI/STl99I30YZbKbjYSlFab3fboCXhyOcl5srCaiZzHjRHM8GfW0d7VTLygRt8iIpeqqop0prwnz3Occ9y/v1vnxbE+IsWAPxtgcgNIRj1SRsQ6tM28z2Yrzz811ixhsc0amlsMECrsbIAp3wfSwpPknIMYu2cwVVX1yNTHqTzPdzLr8GHLhkczy/A5Xv2VFzYNVG5KgOlPAn+tLMshwKQ87jsmj2+s5NtaTa9aTRFgekegJrkzv1hcO7HCN7t10imnWNOOfk1nT8AzcIOVBepHjVHHRH5ODybnHM/NcdIpIrKLQgjEGB/LYPLek+f5zl2sxvoIixU+23/k8bbRd2L8QJPkVi2lxKgxzqlbZD/3PKi6NzCy2G7vsQBiB74agUXi2RK5wT74DH+42M0159uyva7quqZpmscu/Hc169DbuP1PfOym52AyrEgWcV6W3DJ0DTD9JvCWM499DvB/9bucvmXgspXdeRfZdNOU0+QfPclKLifhyIKCsbvqJLvtnDm/yQ9WNpFzWLdTZfbPRJhy7xh4x52hAkwiIheZZkOcd5c6z3PG4926QLP6iBQjPj8TYPIZDqgVYFq542CEGT0V550aa5PtnA2oduHrEYSIDc5kyjhPGuxfoUSuLdvrqq7rx6Y+wsOsw8PD3aowcDZ+/IYnkwFeKx48s01WFWCaWa1aFMU7T336b4H3FEXxi8BHgNcDXwb85HKXd0Uavy7yCB/HbdP7symn0ywVZfvtLGfHbXYbj1+QJJfjVzSRc9S0U2VefevRtyfnHHuZ4756MImIXKiqKpqmOfeCO8uynWsabM0Qwz2e0ZXlBBzN8Pk1rWx3DWujiUZ+TtbRIHPcP+5+IdxeMy/W4dtXIwg1tnfjsecsP8CPF+v3473DopFS6hT4qqoKM2MwGJzZTpt1+ODB6gatrF1K5w4kgkfb38Ts1Stf2nV3XmbrMlyUwfT6Ux8HwM8CFfDqyZ8/N3l8s7n8/LHsIjvovB47U22WymLTMuT6O8luy875tT5NSV5wXO88Ro2RgDx7/O1pL/Nz3dUUEdlF02yI/f39x57L85y6rh/rz7TVwui8Siy89ySXY81uZYdsglFjHAdj72w9PG0GUxWNcej2fm+WcG6x49lXI4hGGjx+7mOD/fb5BTgHpO6T5C4K+uZ5zvHx7vQdcqluWzac86JNbgAJvCbJLWRVAaaZGUxlWX7D0ve+AspgEnnInTclbGKVWSqyedoJcvGkH9dpbUpyxNkxKbu51HUc1XHmnY82g0kBJhGRi0yzIfL88dP8PM+JMTIej7lx4/Gsja0UZ99oTvgLn5flGNWRUWO85tbjx+ie96QEL44Cr33q8mbEdsUMJvODcy+6Ld/HNeN2B36+psjOtafbTYD88dOqx5w39XFq17IO3clAonP+zyeDZ3yj9jeLWNU0ws4DHYuiuAl8CvDE6cfLsvyNvhfVp+RzXGja8exny4JEdkmydirDLC5vM5hSmpnlJNvLWdX+3M/52Sc3ABI+3CcuOcA0amzm8beXOerJXc2DfLkTMERErqvpxeqsErnpVKpdCDCFakiyMPu8xmV4q1e7KGHYGKRZ2cqOBNwdNbz2qcez8M5qp7UtlsHk6hGWnR8BssEBmOGOH5BuvXy+7U7+WaExuHFxy+OU0oVZhdPG/F3L7a47F6cDic75uTgPfkAWlHW4iBjjSrJXOzX5Lori64CPA78K/Mypj59e3tL6cXJhFHeodlXkHO3Iz/jwXe+M5Aa4FHDKYtpJLo6ZdQewrXln6T26giWqYKQZJ4qDzGEJXjxWHyYRkVkuK7cBdqanSzO+T7KAn3Vh7nNcqrGo95VVGjU2M+Y3yByZg2cfdBvqYXM00z5rmsF07nbzfSDhh/NP0fWTFKbQ4Z9Q1zVmhvfnn59nWUaMcWeymNqWDWOSP78TjyouFpNSwq7yYplD1wymvwV8RVmWv7LMxSzF5MLIN/ewwdNrXozI+rgLpoTBw8Z5PhwuPUtFNkyyydjXGXc1XE4iwy95IueojgRL5DMzmDwJeGEYeO2Tl9/VFBHZNdNsiFmyLCPLMu7fn/+i+TqK9RCLDdmMrFfn2sero7vceNkzq1zaThvWcWaAKfPtUI8XRpcH/VJKWFwwe6mpIAbijAoXGxyAc/jDe8RXv3G+bXvAQdNcvraqqgghnDv1EdqgcEqJ4XDIwcHmtz++qrZlg4E/P0yR3EA3wxcQQsDM1t7k+7Qa+LUlrmNpTsavq1ZTdtxJE+fzUk55mKWixnm7x6UaMGa+JTg3SUle7h3vYWNUwWbead6b3NX8+JHKGUREzjPNhph1EeGcI89zRqPdGOoRqwekUIE//6aE8zmORPXgzopXtruCJapoF1a17eXdhnqYTTo7LLCOaYNvy84PMKVsQPI5/mj+7G3n2jU11eUZI3Vd0zTNzADT9PFdCQq3NzwvCFG4fNJTdjXZONsixrhxAab/GvieoihuL3MxSzEdvx5240UpMos/CTDNuPsxyVJRMHb3tPXuzczsNpg0+l5yI9Rh3U6VuTGY0ejSOwaZ426Hu5oiIruormtCCBdeROxS02Crj7CUyGZ0Ws6yjATURwowrcqoMZqYLmz3uZc5jurLAwjTANMiEaY2wBQmpXDncI40OMCP5x8W5V27pqbulsHUNA17e+cHuvI8x3vP4eFu9B1yNr6wo1Y7eMY0+XpOqwwwdS2Rez/wTuAvF0UxfcwBqSzLje+0qvHrIpM7Ao7ZkzDUOG9ntdltMxoqTqwiJXnURKqYuH1zdqBrP/McapKciMi5pher502Qm8rznPF4NyanpTAipdkXVD7LiHjC8QsrXNVuG9WROiYGM3oOQduH6d5xuLSxtcVEssVSmFw9gqbG9m/M/HYb7OPHw/m37R2uY4nctMH3rAymadbhcDj/Oq6dFHGXNN1vz1WtHTyTP3Hh18pDq2rwDd0zmH4C+HHgs4FPm3x86uTPjadmYCLTlNOL34HbLBW9VnaNnzZUdLP7GiWXt2/6aXnBnWFjeLjwZHKQuXb6jIiIPKaua+q6Zn9/9u/zLMtommZlDV/X6pJzGuc8yWWkZv4sFVnMqDGOG+NgRrYywJ73BEs8uKRMzgwWjC/hqxEJh8tnTxm3fB9XLZak4L0jdjhlqqrq0qySPM93IuuwHUh0wdRHpi093NIHz2ybEAIxxgtvPvSl6x6eBr6zLMvVhL365ga4ONT4ddlp3sZcFrhu0053466mPNQGH5nZULH9ogGOiAsPSIP5xvV2NarjpSeJe5njsLr8rqaIyC6aXoTOyoaAR5sGP/nkk6ta2spZDNChtDuRtxe2shLDJlIF45U3Z2dN72WOBLw4DDy1P/vcJMaEWZsxNC9fjbBs9hqgbfTtQg1NBYP5hos4R6cA00VN+ad2pazV2RifQtviZuYX5W3ySFCAaR4xRkIIF9586EvXDKa/B7xtmQtZpvaiOarjvOyuFMCaS+OryQ1wsVLjvB3Tlk9ekt02CT4ts4Ry1NiFdffQTpJrYurUm0FEZNfUdX1p8D3LspMA0zZrqgcki5ffjHDZZNiFrMKoNnDMHOgBbbayAz4+bC7clsW2TC7rekV7iq+GmL8kwJTvQ0q40fznPs474iUT7mKMNM3F/0Zog8LTBv7bzNsYrMLc7KyytoP6gCwq63AeMcaNy2B6C/COoij+BvBIF7yyLN/a+6p69nD8+n2NX5ed5GyMS5F00R0BaCczEHHhiDR4ajWLk7Vrs9suL59MOHzzItx4Q+9rqMK06efF6xhM7mq+MGp4cn/jWwCKiKxUlyyHPM9xznH//n2eeeaZFaxqPeIkwOQv6PUDgM9wIRLqY/K9G6tZ3A4bNsZlCUd7mSPzjjuXTI01azOYZvTHni0Zvh5jF/SehDaDCRL+6D7xZa+aaxfetcGvi1RV1anx8jTrcDQa8cQT29t3qL1eqcFf/G9sW3qov/I8Qmiz/y/9fdiDrgGmH5l8XEvTxrVZuEfc/4Q1r0Zk9Xwc41IDXHxBPg3GZuE+QQGm3ZAiWI1zl+QOuRxcRh5eYhn3eY/qSGOJrMNJJ8Bzw4ZPesWMiYgiIjuoazZElmVkWbb1Y89DdYSFCn9R+TfgfQYkxofP8sTtN69mcTts2KEc3jnHfu64d3xxjVmMbZDJz5nC5OoxKRkxuzgyZfk+OI8/eol5O1A6167tItOpjxeVtMLDrMOjo6OtDzABswcSTbR9QVWZNI84qdfcmClyZVm+e9kLWarJ+HWv8euyo5xVOBsT3cV35pIfkPD45iW48foVrU7W6SS7rUPFdHJ7S7tjNGqMKhiDS5YxyBy5h+cuuaspIrJrpiU0XS4gdqFpsNVHJGvwBxef+7hsQAKqo7sKMC3ZNFv5sqxpaG8oHV3a5LsN4Mx70eyrEcSIXdDgG4AsJ+UD/NG9ubYP7XDmeMlLrK5rqqri4ODiG2bTrMPDw8Otzjr08fKBRNAmj2R2Hyxc3D9UTsTYoVy4J51+IkVR/KVZz5Vl+a7+lrMkzk3Grz9Y90pE1sLZGKyBS5szZ+AysqBg7K7wNslucx3u/i1xIueoMUaN8YobF9+18s6xn3teuOSupojIrqmqihBCpxKILMsYj7d7qIc1Q8xgcMkFaOYzAo766OMrWtnuGjXWZit3aMq9l3mGl/RbtLhYRoavhtA02I3LM6FtcIAfz9/vxzl3aQbT9DU7GFxcque9x3vPgwfbfS17ksF0ibYvaMLHQ8y/crmL2hKxS8f5nnQN+Z1t8P0M8MnAPwU2P8CExq/Lbmt/YbvLpyg6R3IDvG134095yMUxziqiu/wkK/kcH5bTVHFYR2JK7OeXXxgNvGN4yV1NEZFdU9c1dV2z16EhTZ7njEZb3sMktGPoL+OzjIQnVfNnqch8phPkLstWhjZj+biJxAsCUm0T7fmHnPvqGGJD2r9x6RFi+T5ZNf81pPdgKRGjkc0o4Zs25b8sSOac2/7XrDXtUKIuP043AAzf3McGCjB1EUJY2b66lsh90dnHJllNn9H7ipYkuYFqNWVneeuWcgq0WSoKxu6MNruthsHLLv3a5AZttlOsIOt3zOmosa5HKHuZ1xQ5EZEzqqqiaZpOPVryPCeEQNM0l2ZPXFcpHNP13Ce5fPL1skyj2jhujJdfkq0MsOcdluCl48DtW+cfo+1QtQUymOoR5nLcJb1+ANLgAD98CVK6/EbtKc4ByRECzGqxVFVV5wysbS9rbVs2hMsHEjEdPOPJwksE3rSC1V1/qyyRu0ob8R8DvrGndSxd2wysahvaiuyYdgx9t69VMHa3tMeG73TSdDKRM/afoj1fgMkxntzVFBGRVtdsCHi0afA2Cs2kNUDn7JasvU6QpZqWyO1dNtGD9r0+Ac+PZjeut4UzmIZY1i2wavl+2+unmi97qH0ZJsIFN8Tquns/yW0PMHkb46yhU3jCZeByskZZh13FGElpNefNXXswnf1J3wS+Frg+P1WX47DJ+PXL79SLbA2r25TTrnfxfI4LTXti5rfzrqY85G3c/dzM5ZASvrmH7d3ubQ2WEsdN94ykvcwRE9w7Djw9466miMiumQaYusjz9hLg6OiIV7ziFctc1lqE8QOSBXyHXj8A+AwfK5IZbgVjvHfVsIl4161v0l7u8Q7uHDV8xqvO/xpbMJnZVyOC69YpxgYHkMAPD7GDW5334SbH3qzKpKZp5uqLk2UZTdMQQjh5/W4TZ+N2IJHv9n+c/ABnW1wy2KOU0kZmMAWgOfVxH/gvgW9d0rp6l9yA6fh1kV3ipymnXJ5yCg9fKz4eLndhshHmzW5LS2gCP2qMYNY59Xwwuat593h19eQiIpuuqqrOd6izLMM5x/3723leHOsHpNicXORfyuWAUR/r3GeZhrXhOp505N4x8I7nh5dkMM170RwDhBrrOH3M8rYlgD96aa7deAckqOvzX5NVVRFjJJtVP3dGnudbnXXobNzeEPeX95Brv2GAX9Jk422zyuwl6N7k+2xx47Asy7t9L2aZks8n49dfhBtvWPdyRFamvSNQd6ppbr+h/bXgm3vY4OklrkzWzuq2bLhzBpNvU5J7DtSPaqOOiQ79vYG2B5Nz8NxRzaffvnj8tIjILphmQ3SZIAftVKo8z7d2KlWsjjCryTr2C/RZBiFRHd1h/9ZlE3dlEdNs5TRHSdte7jmszs/yMUtYYu4LZ1+NwCLmu50/2GAfvMc/mC/A5DzgoJkRYKrrmqZpOgeYpl93dHTEy1++fceot6oNFnYMGCaX62Z4RzFGzGxlGUxdm3x/aNkLWb7p+PX5fjmIXHfTlFPLupWGto3zHFnzEsoP2W5+joaKU8kPep/IOWoix41xkHe9q9lOkrsz1BEqIgLtxeq8JRDb3NPFmiEpRtx+xwCTz0hAdfgsvObTl7u4HTUORrBE16QyaEvij2ZMjbXY9t32c140+2oEIWIHXTNlPGmwjx/Nd3NtGitpZrQAqKqKqqo6NeWH9vU6zTp83eteN9dargNnx5C6/yyTy3EpQBxDdvkk5F22URlMRVH8H1x8bzuVZfkf9bukJZmOX48avy67xcfx5B24Y68al4EbkIXr02JNFnOS3dY5mXVyx6jnmvdh006VedlBt3U459jPPffHCjCJiMDDCXJdsyFg+wNMlro1PAfwWU7AEUbXqkDjWhnWRhONbI6A0F7muHd8foApWiJZwrk5M5jqUVsit9c9A9ryA/x4/ibfzkEzo493XdeklDr3U5pmHW5liVxKbZP9OWKFD9vfHBIVYLpQjHGuDNeruuyI/vszHv9E4Ntpm31fH26A13Qs2TFtj5357u60WSqqa952D7Pbnpzjmwa4OJx7XO9FRrWBg2yON76Bdwxn3NUUEdk1dV1T1zU3b3Y/Nc+yjNFoREppZaUTKxPmO4fx3pNcjtXbWTK4CYZ15DgYex2zlaHtuVhF47iJ3Bg8GjydZjDNFZVgksEUE2lw0Pk7bbBPfjxvBpPDO0cMs3swzSvPc46Pt+9a1qV67knvadrSI7xE3H/1Mpa1NTYqwFSW5d89/XlRFE8D/wXwzcDPAO9c3tL6l3yOD1sY9RW5gJtnSthEm6WyfW9g8qh2gpyB6z6JrU1JjjgbkbLu01QuMmzinKeHk7uaYwWYRETgYcPgeaZL5XmOmTEej7lxY3v62SUzCMfMG3hIeLDxchYljBpj1BivudX9GN3znpTghePA684GmCwxx3yQE74aYdlgrqCqDQ5w959ro1q+e5ag821P8fPMM/VxKsuyrcw6dHMOJGq/adpfWe1vLhNCIMbI3l7HstAr6vQKL4riKeCvAe8A/jfgT5Rl+W+XubBlaC+MGogVdGz6J3KtJcNZNW98aSlZKrJ5TtKR5/gZn0wZDIfEngJMo2b+xoN7maOOxjhEDvI5TkhERLZQXdd47+f6XZpl2clUqm0KMIV6SEpx3vgSuKxtNCxLMWoMEuRZ9yyKvbydGvv8sOF1Tz167WaxnSI3R7wHaANMseMEuZN95fvtOfXoAemJ7g22nXNEe/ws3Myo6xm1cxeYlshtW9ahi9OBRN1veOI8+AFZUKPvy2xUBlNRFDeA/xz4q8CvAZ9fluXvrmBdS/Fw/PoDTAEm2QHOKkgR5+b7hfIwS+WYlF2vSljprm3WPecd3klKcta8SNz/hCuvoYmJKsw3VQbatPmU4MVR4LVPKcAkIrtt0XIbgMPDQ171qlf1vaS1CdUDUgxzNZMGwOe4cIzFgM/mC0DI5YZ1nPtnspc5MgfPPWjgzClHjIlosD/nj8rVI6xrX9IJy/eBhB/dJ84VYGqDYGc1TbPQVK8sy4gxbl3WobdjnB1j2Svm+r7kBr33Bd1G0yly82S4XsVle/kAkAF/C/gt4DVFUbzm9BeUZfmrS1pb/1wOKbXj1/dur3s1Ikt3knK6QICpzVK5T1SAaTtNstvm5nISWW8pyaMm0liaq+knwF7mScDdUcNrn9INAxHZXSmlhbIhsiwjyzIOD7crAyBUD7BYk815MeUmWS3jo7vcfNkzy1jaThs1Ns+QMKCdELeXOe4eN489ZzZ3xRquqSAGopuvVMgGB+A8/vAl4qvf2Pn7vId4TjV/VVWEEOZqyg9tUDilxHA43KoA00k7jzkzy5LL2++VC4XQ1mmuKuvtsp/imPbH/a0znk/Am3td0RIll5OcJwsavy67oW3iXJHmfCOdpqj6cL+XLBXZPM5qwIA502Wda1OSYz+NUEeNUQcjn/O25vSu5sePGj6rl5WIiFxPdZjOnfoAACAASURBVF0vlA3hnCPPc0aj7coAsHpIijVur9v49ynnMiBRH95RgKlnwRJVtLl7ggLs5Z6j2h57vM0MSvg5Iky+GkKMWD7neXG+R/IZ/mi+m2vOgZ3T5HvalH/ejJLTWYe3b29PskQbJFog+OFyXHww6Se6mvKv6yjGuNKSysuafH/SitaxGhq/LjvG2xifKsL/z967/Ei2bWt9vzHnWpFZVXufey7sa18B14AFsowbuGEhWW7YbtjClhCyZKXA7l/dBh03/A/QQqKFBRa6okHPKCU/QPK1wT0/Oka2hATGEgjw4XDu2a/auzIzHms+xnBjxsrMqsqsyoyM9YiI+ZNK5+zcmRFrV0bEmvOb3/g+98ysnK1Lxce3fHxmVDkGivgYsR1uOCbtdrzu5SyDskrKl4vnLQy8E1ovfL+sxwWVSuW0CSGQUtppA+G9Z7M5LgeAhhtUjbZ53hiU9w0Z6G5+F/jjg1zbqbKKSszPdytDOVBadh8LTFlBdmqQy+jZ853P1p7jNs8rixJXrvNDuq4jxvhsF5L3Hufc0bkOd8qLZbseNUXyEmue0Yh8YuSHbHQDcnJSX61fr5wSopvygf3cBMTepVKD846WIjCFZ7vbYL+W5FXMhGScN8+/HZ15x1VXm+Qqlcpp029W2/Z5ggoUR8SxtVJZWmE7uCGcd4BDN2/3f1EnzjJkQjb8s4Oxykj8MmbM3pcgNNvzR+66FcSAnj2/pETbM9zmeXtIEcHUsA+Cvvv33HNH5ESEtm1ZLpfP+rlZY7m46nc68LyL9Kg8Tj8iNxanJzBJU6q5K5UT4CUigEmzN5dKZX642/HJ82f/bAlVLAHyL2UZFSe7zYW3XljGB44GK5VK5YQIIRBj3KmCumma28DhoyGvd3JDiDiMBo1HtHmfCauorKPyqt3tXp/MPjpQUgV55m9aQhEfZYewY23Py4jdc55PAIMU37/OEMLOI0ve+6MShUshUWKXEbm74pn95IIeK9XBNDTSboPEdrn1VCqHhcsbzHZ7m5u0iFaB6Vgp4qM+390GpTABRdLLc5iWIe8ydQ8U2/wqfHyqWalUKqdE13WY2bPdEFA2q31o8DGgOUHe7HxfMfG7FWBUPskyZLqkvGqfvyZdbFtjv1+9H9qgGZ4rSrhuhfrnO/1g2ySXIsSnvz6cK7FTIT3sYNqFpmmOaqxVdIOzVKJsnv3DDSYNPlWB6VOMncF0cgJTqV9PdeNcOX4sgUVEdtt8lzGoUILzKkeH6HrnQETbtnz4PViS11F3OmmGYpuPag+Gf1Yqlcqp0HXdi9wQZsb19X6KG6YmdteYZmSHUSwAxCP2/Ea+yqdZRQUprXDPZeFL0tI3y/cFppzt2Q4m161Qt6PA1J6DGbJ6enxE/5+b7zmYcs4vGlny3h+V69DpBrRDd4hsQASkxeXnZWOdGjmPexh7kgITUGc1K0eP6AaxhLHDiQCUZgYykuqH9jHidIM9N7xgi0mLIfj4spyKTSqhn7ssOKHY5g34flmj6CuVyukSwu6CSNM0iMjRhAbn7hrLaef7ijiPWCaFehC9T1bbcfhdaJ3QOOHrmw8cTFq6cJ+MKS5sUHn+eBxsHUwY7ubpe8he6LyvJ3Vd9yJHSdM0qOrRtD9K3hRR1z0/eB1qpMfnyDnv1DL6EnZ7h+3AxcXFnwT+EuCBv3Z5efkXPvj3/yXwn9+7rn8d+LXLy8u3FxcX/wy4BjKQLi8v/61dr6OvX/fxh1q/XjlqXN4gFneznNK/Vwyf3pHan+z34irTYhl0d3dbaeT0L27kXIZMVNt50Xl7qrmK/KHf8/wsqUqlUjl0cs7EuLvI7r3He380AlPqbtAccDu6VMrYuLG5+l2++Opf3eu1nTLLkNnVriwiLBrhx/VdjoxZCc5+zvLBdWvMMtk9r7mtR9tzEIe7+p78+//I055ze4HhXgte3/q4y0gr3AWD39zc8MUXX+z0GHPiNi92V1e9NIgeh9g2BL176egEpouLCw/8FeA/AH4O/N2Li4u/dXl5+f/033N5efkXgb+4/f4/BfwXl5eX94/H//3Ly8vvXnwx2/p1l2pDROW4Ee0Q7ciy243UXIPhcPEtvPqNPV9dZUqKuy1jO4qPACYLJL8ss2MVlS4p7Y6X0XrBO/j6po4zVCqV0ySE8OLT6WPKdNFwg2nEne+29vG+xYDu+tsqMO2JbutW3iXEuWfhHTfhzgaUc4nTfc4jSlhBzmizwygWgPNYs8CtnuFgkvInhDt1LYRACIHz890OxnrX4bt37/j1X//1nR5jTpTyrd1fGyYtXgNohF2F5SNmCgfTWCNyfwL4x5eXl//k8vIyAH8D+NOf+P4/C/w3g1zJbf36ccyaVyqPIboGTTtbTqF3qdTgvGPD5XVxt73gho40uBdakldRWUblzWI3hcmJcNY43q7GbceoVCqVudB13YvcEHBcrVQWl6iCc7udoTvvMYSw/HrPV3a6LKMS1fAv2HUuvHBzrzVW1dBnalauW0GMxYm0I9qe4dZPP1zrTTn3W+T6Ebm23U0Mcc7hnDua3LSXNF5DnwtquHwcfx/7JqU0el7XWALT7wf++b1//vn2ax9xcXHxGviTwH9778sG/J2Li4v/6+Li4jdfejFlVvM4Tmoqlce4PRHYVbEWKXX0L3SpVOZH725T2X2RZa598aJgGTKqxuIFq87WCTexCkyVSuU06d0Qi8WOrgyKI+JoBKZUauh3xTmP4bDuZSPglTtW2wa55oUC0yYqSYtQo5kyIveMNa7rVpASdvZ65+vQ9hzXPUNgEsG5jwWm/t/tgojQti3r9RHkDmnclhK95MCzRHq4WPOVH6J3MDk3XvT2WBlMD71qHpvE/VPA//HBeNy/c3l5+YuLi4t/CfhfLi4u/t/Ly8v/9cMf3IpPvwlweXnJmzdvHn4G9yXkFedfffWc/4ZKZa80TcNXQ74GtQU9h/NH3gdPQb4AjFf1vXJcvPsOOgfnv+eTAqR37vHP0RBgfcNXv/oF+N2EKvfWePUq8ebN7kLXTzphGfKw76XKbBn8c7RSeSFDv0avrq7w3vPTn/505w1rSonNZsOXX37J2dmurud5cPOPleibFwlusVkA8WQ+W4Z+jX6drtFmza+9bjnfcSY+SOCbNfDqS7768pzrq8irV1d4n3nz5mlOoIUotjjnbMfRNAD/6gva9TvevH795APc5fWGxaK9/Tv+2c9+xqtXrx5fXz2B/mcP/jUariAsoHkDZ4//fXxyParnoOf89DzAof99DICq0rYtr1694vXr3cXVD/lUucRYAtPPgfshLn8A+MUj3/tn+GA87vLy8hfb//3m4uLiv6eM3H0kMF1eXv428Nvbf7Tl8mGF2cWEj9dcffv1zgHIlcpL+eqrr/juu5fHij2IGa+uvsOHDfkFDiQfMy6/42qo66xMwuLmaxabQP5MKOKbN2947HNUcqQNHde//Kfo2a/tdB3fvH1H161ZLnd3IGmK/HgT+Pqbb/G7poVXDpZBP0crlT0w9Gv022+/peu6FzVKxRgJIfCzn/2MX/3VX93j1Y1Lihu69TWa04ua9bIK5OXJfLYM/Rr9xbdLlss1P20yyx1/LSlmuhD4Rz//hubXXnN9lbm+7hBgKU980Ku3qLkXvTYMj4sdy++/gVdPC9iOMXFzHfnuu+8wM96+fctms3l0ffUUUkqs1+uDf4368C3nNz9imrD0+N/Hp9ajAG1U0g8/Z+UO++9jCL777jtubm54/fo1Zjsm7T/Ap8olxvJK/V3gj15cXPzhi4uLBUVE+lsfftPFxcWvAP8u8Dfvfe3NxcXFl/3/B/5D4O+/6GqkRVCk5jBVjhSxUCynL8nYoW9miJCPwzpfKbgXjrYBxZJstnOTXFZjFXdvlelZOEENflynz39zpVKpHBld1704vLVpGszs4Jvk0uYa08zO1aQ94nEWsZFzS46VVcg7pzX0LLzDCXx9XcQhzZSsrWf4BFy3Ql9oLLDmDAzc6unvFRGhfynFGEnp5esV7z0xxhc1SM4B0Q2iHeZ3C+XvKbENtUnuIXLO5JxflNP3XEYRmC4vLxPw54C/DfzD8qXLf3BxcfFbFxcXv3XvW/8T4O9cXl7elyj/ZeB/v7i4+HvA/wn8j5eXl//zS67HtsF/Ph32jbRSeYzSEpZ46Vvc+rnmGpx3VIhuXqo9YtJg4nE7hsCvk5LVcC9cdbZeMOC7KjBVKpUT5CVujB7vPc65gxeYcrjGcsS/MGtEpAGUbl0zXfbBMirywkVH44TWCd+uyr1e1dAMT/5V5wQpoDuGv/f0AeHu+ulrH3GQcjlNCyGQc35xHk4vCt/c3LzocaZGdAOWtzlKL3mg9sXFM8dKL2geYwYTl5eXvwP8zgdf+6sf/PNfB/76B1/7J8Af3+e1mDQYsq1f/1f2+dCVyiwoJwIBlRe+xaUBM1z8EV3UueajQPfjbkMcSINPuy3AlyET8staZeDeqeZN4F/76mUnYJVKpXJIxBjJOb/YweScw3t/8JvV3N2gGvDNy3KkxHskGd3VLzl/c7gjg3NAzVhHxV5qVwYWjePdpozU5wxm9uRNs+tWoBl9oVNGmzNw7nkCk0BO5b+/6zpijDTNy9bnvRvl5ubmoMdanW7KX9ALP8NMGlw+bIF8KHIevwhnPClrTkgD4mlq/XrlSJG8QXSDud2DDKF3qTh8fa8cDW7rbjNebpU1t/uJ0Toq66icvaRWhuJgapzw9c1h28QrlUrlufR15y8VmKA4Ijabw25YzuEGyxnxLxOY3NblEm6+3sdlnTTrqCTVF7uVoTTJ3YSyWdZtm9xTX/ulQS6jL3xtIIK157j108UMJ9yOyO2j9RHK+1VEePfusF12L20j7jFpyuRGdTF9xL7uEc/hNAUmyuiP1Pr1ypFSRAQD91LLqQdpd87ZqcyP4m6L2B4KDkx2n3lfbgWm1+3Lb3pnjeOqG/+EplKpVKYkhECMcS/ZGk3T7GXcbkosLVGTlzu6Go8hpFUNDH4pq6iEbDR72N8uvLDqBaYMz3Fiu7AqI3JnL3c6a3uG2zx9DylO0GyYGV3XoaovdjA552ia5rBdh2aI7ifjtY/0qPE3H1MdTGMiLU6rylk5TkQ77KUjUFvMtUg9ETgaisC0wdweqqilKYuDHVopliGD8OKsDIDW3Z1qViqVyqnQdd1e3BBQRm66rttry9DYWNxPyK8Th9GgoW5WX8oyZDZJOduDwtR6IaixChlVQ+Tpr1XXrSAb1r587aPNWXm8JyJSlkkpGSGEvblJDt11KNaV/KU97FdsGwmyay7oMbOPUPnncrICk7kGyYf7pqxUPsW+LKewnWuuYuzR4PIGTMG9fENSLMkZ0ee7QVdR9ySBwqIRlqG2/VQqldMihICq0rYvdCtTNquqerAbVlMt6/o9bd5NPOzJXXHKrLZu5Vfty7ecC+9Qg7ebRH6ug6lbob7di7ij7TkSN72N6rPI9j89JfYqMPWi8KEieYNYxPYhR0iD4XGxCkwfUkfkRsSkRazWr1eOENOtg2lPSLtteTjcU83KHaL7XIBvWwZ3sCQvg+7thrfwQsjKJlUXU6VSOR26rtvrZtXMuL4+zNbYFJaY5b0dXCAeVwWmF7OKiho0L230oNzrwfj2OqLZ4BkrXdct0ZfGRmzR5gzUkNXT3itu+6IMm7TXMdR+rPVQXYd9IZG9tEEOiornmjoi9wA559FfIycsMDXU+vXKMVJGlvIeRYTepVJdTMdAEQv381i9Jdk/88QoZiVkZV8XsnAOM3i7Gt8GXKlUKlOx780qcLACU9xcYTnh3J4kJucRi2iuBRIvYRkyfk+/koUXvAhfL+NtaPZTkbBG3X7K07U9Bwy3fFo+qYiAwXpdHIf7HJHLOR+s69DpBsndiwuJeqzG33yEqtYMplG5rV+vVrrKcSG6wVm68+S+kFsxdsc6+sqM2Lrb9nbEe2tJfvusH1tGJartpVUGyqLTgG9XdSNQqVROAzPbq8Dkvcd7z9XVYToAcrhBc8C5lweeA4gra5/N9bd7ebxTZRl1bweeToSFF75f9Q6mpyFxAzmR9+lgEoe7fqLA5ACB1aojpYTbQ/Yk3LkODzXou8R5GOxJ+DNp9hoRcgz07qU6IjcSJi0mvtavV44OpxvQDSp7CHGGW+vqc10qlflx627b10e/CLgWn5+3uFkFJSSl2dNJc+sFL/DL6yowVSqV06DPX9rXxkFEaJqG1Wo/Qdljo2GJ5QDNftY+vVAVqsC0M0mNLulex3MWjeOm02elNpSA74z6l2dPAlizwJzHXT9tXSxSzvXWyxLKv4/MNDh812ERg/YofMg2X9lqJmdPznmv94mncrICE+JAGnysrozKcVEcTAH2JDDdulTS81wqlfkhukEsYXtyt8E2z+6ZLYPLmFkl5XW7p+wQV041v6sjcpVK5UTouv26IeCwW6k03KBmeL+fzbvbuiq6m9/dy+OdIquQSWp7O0yC4lhedRmzpxujisCU0GY/AhOALc5xm6cdrjkBBNabjhjj3gQm7z3OOd69O8y97F7zYtmuR1EkHaajawiqwDQB5lpED/OkplJ5DNENhsGebOK3LpV0mCcklTtKoGK3n0DFLcWS/DyBaRWVkIzzZn+3oIV33HQ15LtSqZwGIQRijLcuhn1wyK1Ullao7W8T5bwDHLqph2u7sozFrbyvcXgo9/pNNLI+XWFy3QpiRM/e7O06tDnHdU9r0BUniMBmU95b3u9pjFOEtm0P03VoGdGwr+nJ8pC3+cqHOeY7BCmlKjCNTa1frxwje7ecshUR8mGealbucLcC034CFaEPVQzb0bunsQqKE/Z6w1s0UrIeKpVK5QTouuKGWCz258pomoYY4yShsC8mrfaW9QMg4jAaLD5NRKh8zCoqq6S82pNbGcpIvGZjExV5ov9FwgrDIXsUY7U9K8LVE3FOCF3Y+0b/UEXhUjiTsD1KEeZaQPChRnr05JzJOe9N1HwqJy0wlfr1rtavV44Klzewx1M82NpOqxh78Ihuiva4L3cbbMMZFXmGw20Z91glvaX1wjKMX8VaqVQqU9DXk+9z49CHBh+aI0JzBO2QPX/+m3jQw9u8z4VlyHTJeNXu061c5s2WXX5yY6DbrNA9jU72aHMGKUJ42utDBELcXyh/z6GOtYp220KifQofvuQr5yow9VSBaQLu6tfr6UTlSLAEFvdtYNqOQT3PpVKZH0O528DwT2wZNDPWAziNFs6R1LiqY3KVSuUE6Lpu726Ipmkws4MLDU7dDaZ5/2Mg4hHbvyhwKqxicSvvd0RO8AY3Xeap8WMurNA9Ncj1aHte2shXT80/UnLaf06k954YI6qH5eAujvoNKvtzYCJSXPXPLJ45ZnqBaZ+j1E/hxAWmllK/Xmc1K8eB5G2IM3tWqm+D8w5r0Vl5H6ebvRs2TVoMh49Py6nYJCM+o174qSx8Mcu/rUHflUrlBAhh/8KH9x4RObjQ4Li5wvJ+A88BxHnEMrGrG9ZdWIa814wdgNYJjQjLoDzJlKGKC2t0r06ZrYMJwy2f9l7JGkhZ9/4a7UXh5fKwzBKl7S2C21Mh0e0DN7h8WA7MIUkpYWZ7f919jhMXmIqaV+vXK8eC0w1icc+WUzDXu1SqGHuwWAKNe1/sIb40cqYfn/Ttq5iJe26VgTIiJ8DXy7jXx61UKpW5kXMmxv1/1nnv8d4fnINJww2aA87v+ZTeecDYXH2938c9EVZR2WtNGCW78cwJm6g4//l1hAtrzJTs9uiUYetgEodcPe1wTTWgA4wq9WOtBycw6Xasb4+txrA1j+jhjQwORZ+nV0O+x6SvX68CU+VIEN0guUNlvycCJg2G4J7oUqnMD9ENYhnb880cthld+WmLm2VU1klp9myyW3jBO+GbmzrOUKlUjpuu6wZrBjrETJccblCNyB5r6AG8bxEg3Hy718c9Bbqkxa08wGu0dY5O7Umvf9ctIWd0z68NnMeaxfMcTCnTtvsd1Wua5iBdh043excfoRyIOw2g9bARisA0trgEJy8wbevX82Gd1FQqj9G3MrDnkxqkAfH4VMXYQ8XlrbttiI991+Dy00LgV0FZh8ybxX4VJhHhrBF+WNcMpkqlctyEEEgpDRLceogCk8UVquDcfh1MznsMIS6rg+m5LKNu3cr7f+xWhPDEzCEJa4gRXex5FIviYnKbpx2u5RxRY+8CU+86vLo6rAkD0fUg4mOfC+rq3h4oI3JTcNoCE/3J+2HdSCuVx3C6KR/Yg3xot3Wu+YAR7baBiud7f+zSMvi0z9FVzGSDhd//7WfhhZtQBaZKpXLchBDouo7FYs+HSZQN6xD5TkOiccne200A5zyGQ7unjYBX7igNckozgHmiF5jSE0Ili4MpYYvXe78Obc/K4z+BrAERN0hx+cGJwhpLadCeG68BkCLguVjfs3A3Ijc2VWCSptavV44GGchyWh68xdX3ysEiugFN+w9UpG/kjJA/X9e7DKVVZggW3rEcoKGuUqlU5kTXdaSU9u6GgLJZTSkdlMgkT3TQ7oJJA6mufZ7LKiqrqLzes1sZoBFBDW7i5zfPrluh0iADhBxrc44La56iGuUcETyq+18Aee8PSmAqebFpoMiGEulRJy4KVWCaCJMGp12tX68cPmZFRBho1tZcM+girjIsd4GKA1qSnxACv4o6wDlzofXCOmaSDqWyViqVyvSEEBCRQbI1Di00OIU1NmTeinhED0dsmwurqGQzzgaYkWtEUIHr7okCk9u/EAvFwYRm+MyYnJkVBxMeG0BgapqGrvv8Ad9cEN0gGrAhZAjxIC2+OpiAKjBNh7RQ69crR4BYGFQoNWmf7FKpzI/iPhtI2pEWjM+eGGU11ikPZrJbuHKq+cN6mpnzSqVSGYOu6wYLbm2akmN0KJkuqbvGNCNDWWPFIxawJ2b+VArLkAc7TGoQwPgxfP5e77oV6gcSmJpzMD4b9J1zwkwR8WgeRmBKKQ3SLDkEomtEO8y/GuTxzT29eOaYMbMa8j0Vtg0E9Omw0vcrlQ+R3nI60Nu6BucdNqLdYPqSSYOJw31GYFpHJWXDD3SzW3jBgO9Wh7HIqlQqlV0YcnzNe49z7rAEphzxA4xAAYgra59uVUdunkNxKw9zr/eUrNGrz2Uupgg5orLf8PcebUvkgLv+tFsmpYBqHkxg6l2HNzc3e3/sIZB+ckiGEf7KdFKduMg5Y0OEfj2BKjDd1q/XG0flsLm1nA70gY00YFaD8w4RDaVdcCjEgTT4+OkNyTJmghoD7QNovcMJfH1TBaZKpXKcxBgHHXtwzuG9P5jNqoYbNAfcvmvot4jzgNFdfzPI4x8jasY6KsP00Jc/rQir9GlXmQsryHkwB5M1Z+Ac7ubtJ78vpkDWhHcNaaAROeBg3rNDFhIBIE0RsU6cnDM6kfPy5AWmvn69qWFglQNH8gbRDeb23xIGZUTOxOPTp2+klflxG6jIMKd4UCzJTj/dMriKyiYq50P0FlMymBonfLusAlOlUjlOuq4j54z3+w9P7jmkVqoclpgmxO+/wALAbScduptfDvL4x8g6Kkl1mNGc7X7Zi7DOnxGYul5gGua1gQjWnuPWn3b2pxTIOeD9YpAkC+89IsK7d4cxjVPa24cb2yqRHglOPDe2F5jcUKe6n6AKTIDJos5qVg4ep5vSZOEGEhF6l0odJz047txtw21ITNrPNnKugrKOyut2uIXFWeO4ekLwZ6VSqRwiIQRijINuGg4pNNjSEjU3WM6IazwgpNV3gzz+MbIMSsiGlwEdTE5Yf87B1K0gBvRsmKwfKGNy7jMh3zF2GIZzjjzAiJxzjqZpuL4+gAgLU8SG/WzpIz1Ofb+SUkKHEno/QxWYAKTB5U+fvFcqc6fYQYf9ECnBead9InCIFIFpOHdbeZKmNNXZ4wu+5bZSeKisDCg5TDdVYKpUKkdK13WEEDg7G8iVQXFEhBAmy+94DhZXgxVHADhxGA0WDmDzPhNWMbNJA7mVt5N33kEyY/MJF5PrVpga1g73XtHm/LMCU8oRt50IG6JFDg5HFB66kAh6gQlcOu1Ij5wzOefqYJoKc81dhXelcqCIrgddZEEfnFfF2EPD5d7dNlA+F+W1IZaRT4j1q6iDjdz3tF5Yxtr2U6lUjpMQAqp6m7syBE3TkHNmvZ73gZKplniAge8rJn471lN5CsuorILyqh1gm3nrYCqPff2JoG8XVphvB3VwaHuGpA7y4zmXMW4PgMUwO3GBKW8Qi4M66pEGw+PjaUd69ALTkPeKx6gCE/dnNef/xqxUHsQU0eFaZW6Rdtv+MP9Tzcod0gcqDkgJlzfcJyzJy6CDX8fCCyEr61hdTJVK5fgYYxPZ5zvNPTQ4hSVmebC2slvEF+dF5UmsgoJA44cUmAQz4+oT93rXrdABD9agOJgwQ1YPO9zMlJwTGAiKDuRg8t7Tdd3sXYeiGyQPWEgEJdLDtbh02q7D6mCamNv69XQYlayVyofcVX4OLSJsXSq1/vOgKKNrwz5H+RwV/CONnDErISsy8OJn4Rxm8P16wNa8SqVSmYgQwuCZGv2J99XVvNfFcXOF5YRzAwtMrkEsorkWSDyFZczDSX5a/iy84ER499hIvBkS1uhQuaT95bRnpWF59fDhWkoR1bxNsDAY0MGkqrMP53e6QbTDZLixRdhOXJx4/E1KqTqYJmVbv+5PfFazcriIbnAWYUjLKU9zqVRmhuk4da1bS7J7pJFzGZWohh94I7DwgkFtkqtUKkeHqo6SjeS9x3s/e4Ephxs0B2RgEUGcB4zN1TeDPs+xUMbhB7rXbx1MzgmtF64fcTBJLGNreQwHkzjc9SOHaymQNePEDzoi573HzGbvOiyRNAMWEm0pB+LzFtuGJueMiNSQ76no69cf2xhVKnPH6Qa0Q2Ux6PP0wXmPuVQq8+PO3Tbwx70IuAU+P7y4HgyjjAAAIABJREFUWQUlJB1cYGq94AW+ua4CU6VSOS5ijKPUTosITdOwWs3bAaBhieWANMOufZwrh3fdTRWYPkfMRpcUG8o23T+sg4W4R5vkXLeCnFE/rMBkTYv5Bnf9sEkhpUBKEd+UaZkhM5hg/q7DMSIbYBt/k7tPFs8cO73ANAVVYIK7+vVYXRmVw0R0jbMOBrac3rpUTjw475AQ3SCWsKEFJrYnRo9Ykpcxs4rK63bYm513wsIL362rwFSpVI6LrutIKd1mJA3JIYQGa7hBzfADiwhu+/jh5utBn+cYWMVc3MpDbWzv6QULJ6zzww4mF1aQE9oMvC4GrD3DbR4+XIuxI+dI41tEbLAWuUNxHTrdDCayvYc0CBlJ83Z0DUkVmGaAuba2Y1UOFtENhoAbeNEpAq7F59MOzjsk5HbefdgTXtgKTI80cq62I3KD1BZ/wKJxXHene2pVqVSOkxACMcZRMjW897PPc7G0QkfYrBZBz5NW3w3+XIfOKha3cjOUW/meMWrhhE1W9IGRUdetIAb07M0w13EPbc5xm+WD/y6lEg7vtmOWAKr7d3cdhOvQMmhAZPgg8rt85dM1j6SUJgt9rwLTlrIxqsHFlcPE5Q0M3aKypdhO573orNzhdIMbIVARymvDaQD9OGB7GUro5xinKQsvpcWmUqlUjoiu6wgh0LbDOnagOJhSSqQ048KEtBrthN7wSK77hM+xDMoqKefNML8XuScoLsShBqv88f3edSsMh4wgxmp7huseFphiCtyuz7fCypAupjm7DoujPmMjyA/mWsCddKRHfsTdNwZVYOqp9euVA+Yx18gQVDH2sBDdlNKSod1tsA1tNFz+2KK9ijqSBFpymJYxz76ut1KpVJ5Dv3kcY0TOe4+qslw+vHGeGs0RRly3m3jI8928z4VVzIRsvG4H2mIq2FaoaZ1gBtfh4420dCvUDe/chm3Qd04QPn59pBTuRQ71Dqbhcpjm7Dp0ukEsDp8JCoDHxONPOF+5jsjNgLv69XneSCuVR9EIlgavoe8xaXB9cHRl9hTxcTx3Gyjugzw7M2MVdazLYOEcSY2rx+qLK5VK5QAJIYy2YejH8ObaSpW6G0xH3ECJx1kY57kOmOX2MGnQFrktCyeIwLvwscvOhRU6cINcj7ZnYIZbvb/2ybnUxN9esyhmwwlM3vvbIoA5IrlENqicj/BksnXVz/PzawzqiNwMuKtfn3c4WqXyIXchziM4VAC2IoKkmsN0CLi8Gc2YadJguI9OjDbJSNlGE0EXXjDg+1UN+q5UKsfDmOMv3ntEZLahwXFzheU0eKPeLc4Dmdid7ob1KaxCHnZzadyuJVoRnMC7Dw+TVHFhjY7h3GbrYMI+apJLKaCakW0elfQOpoHOvpqmwcxm6zoU3YAGcMNHNpQnbHAnOtaac3HxVwfTxNT69cqh4rRDNDLW29nc9r1Sxdj5YwksjtEIWxC/beR8f5G1ipmgNlzo5wcsGkGAb5ZVYKpUKsdBznnUPKS5t1JpuEFzwPnhM3YA3HYEfHNVm+Q+xSrqcGdJ98QlKC6pM+dYpvcdOy6sMFWyH2lErj0D53A37+8hU4rknJDbkTBDgJyHczCZ2Wxdh6KbbXP7iJmxJxrp0QtMU1EFpp7b+vUqMFUOC9F1sZy6ESyn9C4VwcW3ozxfZXdGd7fR39DfbzFZRmWTlHag0M8PaZ3QOOHrmyowVSqV46DrOnLO4zl2KI6IuYYG53CD5ohrX43yfLIVssLNt6M83yGySUrMA7omtgLT/cdvnbBK71uCXLeCnNFmnBE5nEf9Alm+PyIXU0fKkabZCl1iIMNmMM3Zdeh0M5qTHcqBuGgsUSInRkoJVR31fnGfKjD11Pr1yoFSwukjjBRmiDQgnuaEg/MOBZeLwATjCUy49iNL8ioo65CHC/38ABFh0Qg/rmsGU6VSOQ5CCJMITHMNDba4Qm3ArJ8PKMHqQlxWB9NjLEMmquGH+pUoHwkUC+dYf+Bgkm4FKaIjiY8A1p7jNu87h/oRucb3Qtd2RC4N52Dy3vPu3bvPf/MEFAfTeM93G3/zQPHMsZNznjSLqwpM9yj166dppascLk43RSAdcc7WZIHk1ee/sTIpoh2iG1RGEh/pWwbf35AsQ0aBhR/vlrPwwvUDwZ+VSqVyiIQQ6LqOxWK8z3PvPSHMM9ha43I7cDQOznkMj27q4dpjrKLSJaUd6kzrNiz77ksLEaIa6d44kAsrSAlbjCcwaXtWnFP3iKm8d3oRtPyPDeZgghm7DjWWciAbUWHaxt+4D2IbToGc8+gHEvepAtM9av165RAR3Yz7gQ0lOK++V2aP6Bo0jReoSN/IGSHfiUyrbavMmCy8Yxnn2aRSqVQqz6UfkWvbkcZ+KJvVlNIsN6yS16PfVxD/3r2t8j6rqKyi8mYxkMJkFBfTPRauRGdfxzvHsutKg5yMuLnW5rwITHZ3gSkF5INXqQjYgGt27/0sXYdO19vIhjEPw0ukx4fFM6dALzAV5+X4VIHpHqXOsNavVw4Is9Etp7Cda65uv9njdAOM7W4rluT7IfDLmCcQmIRNVJJOF3JYqVQq+6IXecZsBZprK1UKa0zjmHEuACXPUOcnts2FZcgkteHcyv2I3L23QOsEM7jq7hzLRWAaJ/z99tLasyIubYqLycxIKWLywatUbFCBaa4OJtENogFjxN+LeJD2o+KZU6AXmJpm3PdBTxWY7rNtiKj165VDQSxMIoiatFuXyvxuYpU7PhxVG4O+kdNtT4yyGps0vpOodYIa/LCuY3KVSuXwCSGMXjndn35fX89rXZy6a0wzbqRm0lvE4yxiE2abzJlVVAb9lfQtcvd2rwtxiMC78LGDaUy0OQcz3LKIGTlHVPPHDibsvslp7/SuwxjnFWxdBKYN5scpJOox155kpEdKqTqY5kLZGBk+zTMcrVL5kNuWsDFDnLl7r7h0esF5B4NZCYAf2zokDYa7beRcRSVlG9NEBcCiKbb571bzWmRVKpXKczGzSbKQvPc452bXSpW6ayxHnBt37SPbg+hudXojN09h8HH4fkTu3pM029bY615gShFynMbBhOCui8AUUyA/IDAN7WDy3mNm3NzcfP6bR6Q0yCnIuMKfnWikR87l/VAzmGaASYvh8LV+vXIgSN5aTkf+wEYaMMOn07OdHgrF3ZYYXWESVxo5t+LjKmaCGn7kk+aFdziBr6/nGVBbqVQqTyXGeLthGBPnHE3TzM7BlLtrLHf4ZrzAcwBxHjC6629Gfd5DQM1YRx12bLF3/nywnFg4YbV1SruwgpzJftzXhjVn4BzupoiPKQVyinj/odClmA23/e5HouYmCt8eeI592tgXz9hpxSXknEd3vN6nCkz3EQ/S1E1z5WAoltM15ka2nEqLib8dg6rMj97dNsXHfMmzKydGq6hsonLejHsdjRNaJ3y7qiNylUrlsAkhTNYINMdMF4tLsioysojgtq6Y7uaXoz7vIbCKSlLFDbmpfaBFDmDh3J3A1K0gJ3Rk8RERtD3HrYoYG1Mg5kDTfFCyIjZoMY/3HhGZn8CUt5mgI1MiPfLJlXhNcSBxnyowfYBJi+R5hRlWKo/helV+ZCsw4ooYG+s46VwR7RANqIwf8He/kXMZlHVUXrfjLywWjeOqq6UNlUrlsAkhEEKYJLDVez87gUnjCjMZP5Oq8YCQl9+O+ryHwCooIRuDniU9kl20EGGT7wlMMaKLVwNeyMNoe47ryh4yxVCc/h9k4AiG2XCGmt51OKsROdNJMkHhfqTHae1XUkrVwTQrXIM7wTCwymFSPrCneRuba0/uROCQkLwugYoju9vKk/eWZL1tkPMTnLwvvHBdBaZKpXLgdF1HCIHFYmRXBsXBFELA5jRiklZDmkAeRcRhNGic18jgHFjFzDoqZwMqTPLIL33hhGTGJiuuW5XXanv24PcOiTVnuM1WYEqPhPJvW+WGDvqekygsGvgoPGsk+giRUxOYcs6TfmZXgekDTNrJVNZK5bmIbkav6e0pwXlVjJ0rd+62kfO56C3JiuQVq6BTrCmAIjCtQhWYKpXKYdN1HWY2mYNJVVmt5nG/N1XIaz5sfx/t+cWXPJnKeyzjCG5lA3vgF986hxlch4zrlqhrJ3FvaHuGxA7LiZgey38s1695uOubn8C0QTRiMoHsIA2GP7l85ZrBNDNMmpJbUuvXK3PHcjkVmOrzQ9qyyJrTqWbllrIAnubFcd+SvIo62U2u9UJQqyJTpVI5aKZokOtpmgYzY7mcR3xE7K4xm3DzJH7ryKjcpz9MGtStrPDQqeqZCGBchYQLa3SCgzUAbc7Lmnj5Izk/VrJiYKAD5zD1ovQcKAJTwGR8ByYi7xXPnArVwTQzav165VAo4s40Ic7Qi7EZ0XksOivvM6UT07a5T9q9JWSd7Ca38OVU8+26Bn1XKpXDJYRHxm1GYG6hwam7wXJCJqrfxjWIRTTHaZ5/pixjHn41+shSonWCE+Fdl8uI3Ni5pFu0PQMMvfoB1fygvCRiGMM7mFSVzWYeEzlON2XiQsYfW4TtfiWfTqSHqtaQ79khLRj42o5VmTmiG5yl0n44AWWuuYqxs8QU0W6y8UmkwaQhbH4gqtG4aTZGCy8Y8O1N3QhUKpXDRFUndTB573HOzUZg0nCN5ohz06x9xHkEY3P1zSTPP1dWUYetoDceFZicCAvvWG42mGbyVA6m9hzEkd99S9aMPDgSpgigA+7/vfeYGdfX88gKKweeExQSbSkH4vMQ28agdy/VEbkZYdJg4mr9emX2ON2AdugUllPuXCo+1vfK3CjutilHCASkJYUlISl+QoHJC3y9rAJTpVI5TEIIqE43aiwiNE0zmwym3N1gOeDaadY+znkM6G6+nuT550jMRpcemV/bF1uBSR4Z/W9F6DZryBn1E62LfYv5hrx8R0qBpnngOsRAIOuwDiZgXgLTFPlLW0pDfDdssvqMyDlPes+AKjB9zG39+jxOaiqVxxDdIBbATWM57YPzXBWYZkfvbpskUHGLSUNKa5ZDh35+gnKqKXy/rgJTpVI5TEIIpJRwU42EMa/QYI0r1Aw3kUvF+fK83XUVmHpWMRPVcGM4mB55ioUTQuwgp+2o2jRYe07uluScHhaYtiJcHnBy33uP9342rkOna2yK2sceaRAykm6mu4YRSSmhqtPeM8Z6oouLiz8J/CXAA3/t8vLyL3zw7/894G8C/3T7pf/u8vLyzz/lZ/eNuba2Y1Vmz23GzlQiQh+cl+dxQlK5o3e3TTXvDkVgyrkjZuN8wNriz7FoHNfdaZxaVSqV46PrOkIItO00ggqUDetc8lwsLSfdrHrvyXh0/f1k1zA3VlEJSYcdh//MbXzhhOsY0RjQs9eT9d9oc0YKJe/nIQdJ/yUb0ME0K9ehZdCITFX7yF2kh0/vSO1PJruOsegdTFMyyqr/4uLCA38F+I+APwb82YuLiz/2wLf+b5eXl//m9s+ff+bP7g2TFtHTCQOrHCYub5iuQq5QbKf1vTI3ioNpaoGpJadEQ5rUprvwwrK2yFUqlQMlhECMcVKBqWkaUkqkNIPChLQeNuvnCZh4LM9g8z4TlkFZpYHdyp/IYAJYiENy5IYF4qfJ+oGSw5Tip8VYEcN02C34XEThMm2RsYnyYgHMNRgOF99Odg1jknMm53w7KjkFYx0r/wngH19eXv6Ty8vLAPwN4E+P8LO7IU1xh5zIrGblMJmyJazH+vdKZVaIbjAMJgpBhXJDDxne+GkFyIV3LKOiM6nrrVQqlefQj6Z5P93nufceVWW5nLY1NqcA2pUq+Akx8UieLnh9bqxiJqSB3cq9wPTIUyyc4FLk2r8a7hqegDZnRFPcp1q8xAZ34c1lrNXpBrHItAfiHsSfTIFXSomc86T3jLEEpt8P/PN7//zz7dc+5N++uLj4excXF//TxcXFv/HMn90bJW1ekTomV5krGsESTDnTTHGpuG2gdGU+FNFv4tcGLVHhC6adeW+9kM247mZw8l6pVCrPJIQwqQsU7kKDb26m/TxP3Q2mGTdRccQdHmdVYOpZBsXJwyNhe0O3fx55itYJXgM/TujcBojNgmxGEx8/XBMMHVgjbZqGGOPkdfWSN4h2qJxPeBFS9it5WoF8LHoH05QC01jeqYc+Dj58a/3fwB+8vLy8ubi4+I+B/wH4o0/8WQAuLi5+E/hNgMvLS968ebPb1SYB+57f+4XAm692e4xK5TM0TcNXX+34+gpXEBbQvIGzHV/n+yBmWP7IVz9p4Oz3TncdlfdJDdhrOH/Za8M7t/Pn6DKcI/5bfu18w3rXz+I9oD7xL26UtPiCr776crLrqAzDiz5HK5UReOlrtG1bzs/Pd1/T7oHz83Pevn2Lqk76fvsx/cDaAW3LYjFNUxhAWpxBt+LL1y1nr39lsuvYFy99jbqvM69eZd68GU5EUFNSk6AF5z/2RyxyYmHKVftm0tdGOH+NCJxbpnnkOqJ5RIQ3b4YTAMyMm5sbzs7O+OlPfzrY83yWd99B5+D897xotPUl61EA5AsQ49UJrBeur685OzvjJz8ZNm8qhMdF9rEEpp8Dv3Hvn/8A8Iv733B5eXl17///zsXFxX99cXHx1VN+9t7P/Tbw29t/tJ2tvBpZxMj6m39G+HLCzXvlqPnqq6/47rvvdvpZH77l/OZHTBOWplPkRSNtDCy/+WekV3UEaRZY4tX1D/i4Jr/wtObNmzc7j0R8u3Z0Ed7wlu8mHKtIWUkx8o9+/i2/101vF6/sl5d8jlYqY/CS12hKiR9//JHNZjP9eFrO/OIXv+A3fuM3Pv/NA3H17b8gbJaIaz65uRkaVcCUX/x//5Avf+2PTHYd++Kln6Pf/PCOzbpj2Q7ollmBBCm2gweepu1uWGjkR/d60tfGTc5kM9zq5tHryKkF8yyXw03KxBgJIfCzn/1s0uy0xc3XLDaB/MKpoJesRwF8zLj8jqsTWC+8fft2lHtGjI83NI8lMP1d4I9eXFz8YeBfAH8G+M/uf8PFxcWvA19fXl7axcXFn6CM730P/Pi5n907ff16Oo0wsMrhIbq1nPovJr0OkxZD8PEt6dUfnPRaKgXJG8QSxnTWWIBlEtba8ivttKPGrRMaJ/zy5vEbYaVSqcyREAI558lH5KC4XKYODdawRHOiPZvWjSq+wYDu6uujEJhewiYpMdvwr9E+FveRp2nimjNN/OAnHMUCEkYS4cuu49GOZbFBW+Sg5KaJCFdXV/y+3/f7Bn2uT+FmktNaMmMj5AB+OofbGKQ0bbkOjJTBdHl5mYA/B/xt4B+WL13+g4uLi9+6uLj4re23/afA37+4uPh7wH8F/JnLy0t77GcHvWARcAt8nnbWvFJ5jBJCn0Gma5UpF+JBGnz6cdrrqNxyG6g4YWMHFIFplT0/aaZ1DYkIZ43w46bmhFUqlcMihEBKadIsjZ5ZCExxidrAWT9PoPw+hLT6ZtLrmAPLkIlqDB6L9RmTfBtWnOfI0k0rHkTNmDjO0uMuKkEHD/n23uO95+rq6vPfPCCim6kjQYFyIA6Gy9P+fYzBHA4lRuuvu7y8/B3gdz742l+99///MvCXn/qzQ2PSILWCtDJTnHblA3sGp5omLXIiwXmHgOgGyR3ZTduksoyOhOeVdJ9dGA5N6x03oYZ8VyqVw6LrOkIInJ9P68qAsmGdvJUqrRivn+hxnPMYHuveTX0pk7OKyiYp7dAa6GfWEU1cc5YjG7cgaqKd6GWSNIPztN2n9pDlP0bVBg2sn1wU1rAtAZp+r4I0YIZL79DFcecw5ZyxiZs2p/+Unim1fr0yZ+bQEnaLa3B52ir6yh3F3ZbATdukskyC4vEkGqbdlCy8sAz6+W+sVCqVGdGPyLXtxG5lymY1pTStyJTX2NQnFj3ioa59WEVlFTJvFsMqTKKCyeO/+zasaZ3DBG4mXB8nTeA8Pnbw2CZfeoFp2OtsmmbS92tx1E8f2QBlX2/i8PGHqS9lcKZuDoQqMD1KqV8PoPXUuzIzzGYlfpq0s7qeU8f14uPE7rZlEsAhAl88nkQwCgsv25yIKjJVKpXDod8cTj3uAGWz2jdTTUEKa0zj1Le2W0x8cWicOMuQUYPFA81ue+WzDqYV3pXRxSudZntrZiTNqHjEDBcfEyANM0bJYZpSYCp5saG8V6ZGPEh7EpEeVWCaM64B9CRmNSuHhdiMLKds3X4WIdeGrjkwB7EvK2ySbBcVxpuJBabWC2rwdj39TbdSqVSeSghhFuIScJsDdX09zed52lxhmnAyk62LNDiLmJ72wcUy6PD5S1BCvj8hMrVhjXcNgnFl07xGsimKor4BjGbzsMAkvYMpD+9gSilN1qpXBKYNNrGjvsdce/TxN2Y2iwymmXxKzw+T8uHgUhWYKvNCtiHONpO3b32vzIje3TbxfmSZBDVDBBTHT2TaE6OFFwx4u6pNcpVK5TAws+kzj+7RNA3OuclCg1O4RnNE3DzWPuLKAUq3Ou3G6VXUcdYcnxCXXA5IjphraQTeTeRgiprIaqhfAEKzecztN47A1IvCQ9fVP4bTDZjCxMHrPSYNTo97rDXnjM5A9J7Hp/QMKfXrDh9P+8ZRmR+Se8vp9JkMQGmyM07Cdjp35uJuWyYhK5w5yLS8kWkbORfe4QR+96aOM1QqlcMgxjiLUYceEaFpmslG5HJ3g6WAb+axWe0Fps27X059KZOR1VinPHyRx9a99JgrowlrMCP5MxbAeuCGtsdImsmWsWaBOaHZPOKWkXIAl0ZwMJnZZKKw5M3kcQ3v0Ud6TByAPSR9wHd1MM2Vvn491k1zZV44XSPaYW76Vhm4C85zqYqxUyPbQMWpP9pXSQiqvG6URMOCacf2Gie0Tvh2WTP1KpXKYdAHfLuZOHZg2tBgi0vUFPHzEJicL0Xc4ebria9kOtZRSdlwQ29mP6MHtHENqsS2CEyriUbkoiaSZhrXkPyCpns8gwlgaKOJ935S1+EcIhvuUyI9EnLELqbewVQFphlTwouPe1azcnjcqu+umfpSCuK2YmwdkZuaPlBRJ3a3LaMjq3HeQDbP2cQCE8CicVx383EDVCqVyqfouo4YI00zk3s904YGa1xizCPwHPrxIyGvv5/6UiZjGTNRjcE1UOOTIlMTVqCZ1L6mFdhMZFBJmgHDO0duFjTxsbXPOCNyzjm899O4Dk0Rnc+IL/SRHuDSu4mvZDhSSlVgmj2uwR15GFjl8CgnAvN665prcVWMnZwyPjl9oOIyCQvJiECmYUFgeA/9p1l44SZUgalSqRwGIQRCCCwW83DswJ2DyaYYMUlrbOqAwXuIOIwGjdOWWEzJKirrqJw3A69J+4DvR379bVyj5lDfsgAysJkghiZpor/I9AmBSbZFvzawwATlPbvZjH/IJ9pHNsxnv9JHi7gjnk7KOc/C+Tqf3/oMqfXrlTki2mETb9Y/pLxXjtdyeig43SBm4CZ2MCWhdUXMSTQIyiumCZnsWXhhWQWmSqVyIHRdh6rOzsFkZqxW4x4omSrkdbm/zQgTj5xwg+4qFIHpdTvCiNwnBKYmrIjbYO2FlG+9nmBMLurdGiP5BT5F0EfWHWKjCKZTjbWKrhFL2FxaHwGkwfD4I4706AWmqe8bM/qtz49+VpNcRabKTLCMaJhVZh4A0mxH96ZvLjhlivg4/YvjJgpnrrwWMg0ixhumDfpuvRDUWFWRqVKpHAAhhMlPoT+kDw0ee+QmdteYZWROm1Uoax87XYFpGcv91A/9Ov2MwNTGNckX53bx+wnvRhaY1Ixs9wSmphz0Nd3DYqygqA6/XvPeE0IY3XXYRzbMppAIim3Mtfgjbr1OKZFSum0QnIqZfVLPi75+/ZhfiJXDQrQDS9jM3rpFjNWaWTYxc3BchgxRob0VmDyG8AXTzrwvvAOD71c16LtSqcyfEObXeum9R0RGDw1O3Q2W0+S5Ih8hHrFETvP7XY3BKuo4B566/fPQc5nRxPXWwQQt4DDe6bjr5KQJtbsjvtQsAPtkkxwjtN01TYOqsl6PO2XgtCuRDTKPQqIek6a02x0pfYtcFZhmjG3r1136YepLqVSAIiA4S6XlcEaUEwrD1aDv6dgGKk49QLBMQjZYbEfkMh7F86VM+9pYeMEwvlvGSa+jUqlUPoeqzlZgcs5xfT1u7pCGazTH2+a2uSDOA0Z3/c3UlzIJyzBSmPAnHEw+bUqD3NbB5ARagevRBaZcWg63fx9pO7LXbB5z+xk2gsDUj7WO7ToUXZffl5vffuWYIz1yLmvvqcX4KjB9ir5+PVaBqTIPnG5AO1TmE/oJd80Mvr5XJqO42zJTz0/eNsi5flxSyDS8kukzmLwIv6wCU6VSmTkhhFk0AX2IiNA0DcvluJ/nubvBcsC381r7yNYlsLn+euIrGZ+YlZC1tBoPTf8UD+xa27AGVVJzV26yAMaWEKImomaa7Rin+gb1/nEHE4aNMCLXZ/GM7Tosjvp5fX7B1sF0G0B+fKQ0D6dnFZg+hbijn9WsHBaSN4gFmLgl7CO2wXnuiIPz5s5c3G3LJIRsvGnu8riSNZwxbU6FE+GscbxdV4GpUqnMmxACKaXZZTDBNKHBGldl/GjiAosP8b4FhHDzy6kvZXSWUYlqeDfCZvYT8Z5NLAJTbO5GsRbAZuQMpqSZrJnG3bnsPt0kN56DyXs/usDkdDOK9vhspEXISJo2F3Qocs5VYDoETJpav16ZDbcZO7MLuhRwC3w+zg/sQ6C42zaTu9tuoiCmLPzdDS7jOWP6mffWC1ddDaKvVCrzpus6Qgi07bwEFSgb1rEFJkvLUTbjz8V7j+HQ9em5t1dBCUnHEZg+IVS0YQU5k9pXd18T2BjoiAJHsozw/mhS8gua8Njap1ycDnyRvetw1OZHS6BxFkLHh9zlK0+bCzoU/Yjc1Mxslzo/jn1Ws3JYON188kY7JSU4r75XpkJ0jbMAMq1q7ESEAAAgAElEQVS7bZWk5C/dW1dkGhoijmkDthdeWNYWuUqlMnO6riPGOEuBqWkaYoykNN7nuaXV5OPfjyIey6d3EL2MmVVSXrfD/15EBZOHF79NXJNc+17WT4nXFpYjrpejpo9eo6lZ4NMjYqyU1PIxmuSapmGzGe+QT3SDWMZm+J4112A4XDzOiYs+5HtqqsD0OaTZZpvUU+/K9IhuZrvIKnPNVWCaCtFN0R4nDlS8SY6Fe//zMtEgGK+Z1uG28I5VVHQGN99KpVJ5jD7ge+omoIdomgYzGy2HKadQMlNmerpm4pE87Qj4FKyiEpJx3oywlfyMg+l+/hLAQsqPXI84Jpc0f5RHlZoWlzMSHwrsL8nlY+Qwje06dHmDWGSeMoMH8fj049QXMgh1RO5AuK1fP8HTicrM0FhspzO0iUNx+zkNoLUGfgpEp1/gmhUHUyvvu4QyDYjxhnGbhz6k9UJW42pTX6OVSmW+hBBmsUl4iF70GquVKm2uMZ3HpulBxG8306fFKihORmqr+oTA1MQ10b0fDVD624x3IwlMedsg95GDyZfrasIDe0gxzBjNwZRSGs11KNohukHl/PPfPDYiZb+Spy2eGYqUUnUwHQKlfl1xRzqrWTkcnG4QS9jc8pd6XAMoLtdQ/Clwec3UjR2rJKhZGZG7R6JYkn/CtJ+jCy8Y8P26CkyVSmW+jJ1x9ByapkFEePdunM/zFG7QPI9mpAdxHiET1tMeoIzNMubxVhzGgyKTaKZJG6J/38HUUDa473Sc9XIJ+FaEj0fkwGjWH4sZ0mcwjTC1770f1XUouimHzXMrJOqRFneEExf9eNwcPitnulOdDyUMTGr9emVyRDeIBmymb9s+OM/V1sXxuXW3TXsZqyRkhTP//oUYjoznjZv2tbHwZfn3zc3pnTZXKpXDoHcazOEU+iGcc3jvub4eR1DJ3TWWO3wzz82qk5KT1d18PfGVjIeZsYojRYcYoA87pZq4xsxunUI9ImVMbjmSwBStOJjcB9eY/QJEaDYPCTuGCOQ8joNpdIEJ5hvp4Y4zMzalhKpWgekgkKY0yaUqMFWmpQhMHeZfff6bJ8CkxXD4Iw3OmzNy626bNq9jmYSYjXP38cIz0XLOtDf01gmNE76uAlOlUpkpIQRyzrPMX+pp23a00GANS3JOuJkKTOI9YHRXpyMwbZKR8kgC6KfG48Ia1IgPvDYWwHokj1XSRNRM80EGpjlH9u2jI3IAOoLA5L0f1XXodMPUjvpPYdKWsdYjy06rDqZDQgSkxefTsr5W5ofoBiyDzK9VBgDxIA0+Hmdw3pxx2iE6faDiMgpRldftxyvCbJ4zpr2ZiwhnjfDjpjbJVSqVeRJCIKWEc/NdonvvxxOY4hKzkbJ+dsD7MukQl6cjMK1iJqjRuBF+J8qjIlMbV5ATqf344HUhsB4pszRuM5j8AxEWqVnQhIfeK+MKTN57rq7GcZGXQqJRnmonbicujmxvn3NGdR6lZPO9e82IWr9emQOub5Cb6SILtqcCWgPxx0Z0jWiHumkDFZfJ0YjyUKlMpmExscAEpUnuOtQMpkqlMk+6riOEwGKx+Pw3T0TTNLdNd4OTVrONBoAyMmh4LJxOPMAyKpuktM2IAd8PPFUZkYPcfrz2aYFoMMYkX9KSEfaQCJqaBU38eO3TL+fHCPmG8p4dJdtNQ4lsmDPSgBnuyA7Ec87knGdxODH9FRwApX59nJOaSuUxDuI16BpcbVwcHdEOLIKbdkOyTMLigfE4KEHfnkQ7scjUemEZ5nHCU6lUKh/SdR0pJdp2pm5liiMi5zzOhjWvmDxg8DOYeOyEDqJXQVmHzOt2hG3kNoPpIdqw3uYvfSzSlHht4f9n721iZMvW9KznW2vtnefUqbrX1752u+W2JVsyg0YyDCwzAAl5YrmZeJayQUhIWC0jeYoYIDFh4qkHBmQ1DBhZOQBkiQbsGULIwhhhZBsMVhvk7nbVvVV165zM+Nnr5/sY7Ig8p05lnvyL2GvviPVIoaqTGRmxInP/rPWu93u/6wlcTFnvDzzPvsenYWyz+wMMm8hlFUKYxHV425CIcPT3ei4mHSYOn08r0mMvMM2hvLoJTI+gtV9vVMdsFm3oH2J0MC1ACDsx5uJuWyWhl7vLzwoeEXhDXUty74UhK6k0kanRaMyPGCPOudmWhMH70OCbm5ujvk+OG0xz7Vvbg5j4cZ1wJqxTodjoCD46+xK5Ox1Ma5K/e2Ot3z3/2o47RjMja8HuEUFz6BAzfPyhACkyncDkvZ9EEL5tSFQ5E/STiBvjb06sQ/xeYAqhvrjXBKZHYG5fq3k+9tfGvBAbxvylORc1s3P7WYbSRKYpGfO56l7Oi8K2CN09DqbCeB39fAYCkxp8u2k5TI1GY35M4gp6Ifsd8mN3ksvbd5hm3B3ZNnNCJCCWsCl6zs+AVVSmiF8CRnHJuHPF2sU1yd0d/t4BgvHdkTvJZSsoitwzPx8dVkYY7nL3KzbRXlcIYRLX4W1Donv+LnPBXHdy8Tc55+ZgWhTSAYpLp6V0NpaDlO04eZn5KbsPzvO5ibGTYbYLVKxbQrDKgprRubsn2JmA4vhC6ta8d95hwNfr89ltbjQay8DMpss2egEhBJxzRw8NzsM1WhIyhVPmBYjbdZJbn0fH6XXS6bY7dff46A1diUjJ5Hu6CwYZH9fHFpi0UNTudZDnMJbwhc3qh9+c2MFkZqxWd4zjgLiyBdPqkQ0PYRJweloCUynj/LtlMC0EkzC2Xz+xWs3Gcri1nM7+gt2BgcunFZw3Z8Tizt1Wl1UWisLrexxMIGQ63shxSyoeoveCE/jqOlUdR6PRaHxMSul2kTBnRIQQwtFL5Eq8wXLE+Xm7IfYC0/btP689lKNT1NjkCY/R/d7ZRyvWEDegRvrEsdED6yNLYVkz2cqdHeQAiu8wJ4ThLmHHsInc5/uyqWO7DmUf2TB39pEed2ZjLZNSymxKq5vA9Bhu2683B1OjDk63SBkwmfckCwmYOFxqYuxUyG2gYl1L7Co5oiqfhfv93oXABXV3jIITOif8fN0y9RqNxrwYhmE2JQ4PMUVosMYb1BTn5xt4DuD8uHiP119WHsnx2SQlF8NNVSN3z/q/SxswvdfBBKPAtDmygJO0UDQT7sscEhmDvoc75j5iMKGDaQrX4SjaHPUtDsIY6VGQE3Ix5TyfeW0TmB6JuQ7R49oKG437GIOzDVz94LZPIg5ch891c3bOCSn7QMW6E/DRwWS8+sQhWszTV+4iB3ARHNfb+bsEGo3GeRFjJKW0CIHJe3/0cj7La4y727/PifHvJZTt6W+urVIhqk2XwXTPnlWIa9BM6l7f+6O9wNaOa1LJu9wt/4mypBJ6QvqhGCsYduTx7XHOHd91aLqIhkSwq7jAcCcU9D0n92sTmB6LdLgTCwNrLIdRYJr3BGvPWNd8V5hh4xiM5ZNbzL2qOo5VHjvIfWodkAn0ROS+GeNEdF64TvO5ETcajQaMAlOMkb6fdzk8jA6mYRhQPd713PJ6ERUsIg6TgKa6JeBTsE7KNimvwjRLSLnH4dPFNQWPfcLd1gGFUWQ6FlkzD83Pc+gJ6Q7hZZedOVXQt/f+qK5D0V1DopmH8sM+MxZ8Op3ctCYwLRCT0NqvN6ohOmCLEZi6k7Kczh2n+0DFuu62VRL6ewK+9xQCgvKKugJk74V1nM+NuNFoNGAskTOzWbSZfoh9aPBmc5z7vWkZHbpHefXDYwSkLMO98RLWUdkk5bNuuhI5u6OJSUgbsr/gU+JOL2O11rsjlsmlR3QOzL7H5wQ/eO74ubRM87vci8LH4jayYQECExIwPO6E8pVbBtMCed9+vS2cGxNjBdGIVO4S9mj2YuxUWzJnzih817+Ur7LQ3xvwPVIIiBhvqFtC2XshqTWRqdFozIoY42wWCA8RQsDMjlZyk4abUWRayO8D8YspD3oJN+nhkrCDotyZ6dPFNcl/2uk3fle4PpLApKYUKzwUOpTCOJIwfLy5ZmBQdLocphgjdiRb4OioH6pHNjwKkZOL9Mg5H+1v+1Tqr0oWwr5Ws7Vfb0zNKNZkbCGn6yjGKlJamdwUiG6r5ykOBZJC94DAlPEYwufUvY723qEGX7eg70ajMSOO6S44NN57RORoocFluMY0L0tgIlPycXOparNJOm2TsLsmOGaEtCU/IDB1gMN4q8eZP2ctqBnygM+uhB4wwvb782IRwwCbSGAKIaCqrNfHmZ873eJ0wKRuZMNjMQlIOY3qJFU9arnyU1nGinUG7Gs1W/v1xtSIDjjLi6hphr0YqycVnDdbdu622qyyUAx6+bQjSPEoni+k7rHReQGMr1ep6jgajUZjj6qS0nKuScfuSpWHa7TE2w5tc0ecB4ztu69qD+WorKJOJ/oZdwpMIY0u+eQ+3VnZCXQC10cVmPRBgSmHDhDC9mO3nyLAVNE5e9fhanWcplWi27Epnpt/kwI4rUiPUgpmNhtBfhkr1jkgAcPhTigMrLEM3C7EWRe0IwByUsF5c2UMVMxMu534Q1bJUYrxyj+0eyJkAq+lfgaTF+GrJjA1Go2ZEGOcVYbGQ4gIIYSjuSE0rtAS8d38A88BZNf5L96crsAUixKLTtP2DG4Fpo8FnJA2oEoOnxaYYCyT2xwpyStpJmkhPFAuqC6g3v/AwYQYCOiEJXLHdB0uqSER7POV4xhMvnByzqhOKP4+QBOYHstt+/XmymhMi5QtWIIHdmpmg4Sxk1xuAtOxEd3u3G11d4tWWYhqvAkP23OLBS6oa0l2IlwExzebJjA1Go15MAwDpRTcVNk2B+CYocGaVpgJ4haQ5wJ4P7pUhhMWmNZRSWp4N7GD6aO36+IaVEnh4Y3XHtje04nupWQtqBbCI5qsjJ3kPp77jEJdmaha/9iuQ6fbRXR9vEU6BEVOIIeplIKqzub+MY9RLASTDnciVrrGcrjtXjgTVfpBREA6fDn9dr21cboFHVCpu8O7SoKY0vuHj9FC4IL6OSO9F66H5e9aNRqN0yDGSIyRrluGoALHFZgsr9EjCQPHwHuP4dDN6XSl+ph1UmLW6QSme/asRgdTIXevH3yJTmBroEcQPrKVUf96xPw8h54Qvy8w7X9sKgfTUV2HlkHTYpYqAOYCp5KvvBeYmoNpgYxhYE1gakzL2IZ+HheMxzKeKy3k+9iMLWEjSF132yoLF748yhmd8QQSjrruoc4LqzifQMRGo3HeDMNAjJG+X0ZJGIyiSkqJnA9vwbC8Rqq3sHgaJh474XXCKhVWSfmsq5vB1KU1WbpHZf1cMCYd3RzhUEpPCKHPvifkH7q3RQyOlBF1F8cShcf5aMEqO+qfgknAEFxavihcSqGUgvfz+P03gekpSEBsaO3XG5MiullSSTOwr2s+jc4Mc+b2d1w5UHGVHZ087rpYCAjGG+o63HrvWCdFF+XnbjQap0qMERGZTYnDY9iHBt/cHPZ6XnKEEhc390E8Uuo7dI/FKipZjVdhomNUd4+P3i7EDekR+UswOpgAru3wY85a7u5yd9dzQ48URdJHx4cYNuEmsvee7fbw83NXtoglYB4Cx6OQAOIJJxDpkXNuAtNSMenG9uu5lf40JkLTGD63OAdTh9MI2trAHxNX6gcqmsE6C517XLlZIYDMQWASihpvt+0YbTQa9RmGYTblDY9lv5g5tMCUt9eYPd4dMhvEj67iE2WdCsLjSsIOwj0ZTCGtye5xTr8eEIx3etiFd9l1kHvsFCz7cbxh+L67X7CjlO/dRwiBnPPBXYeiw64h0XIcmAAm/UlUXDQH04IZu2MZriy/VrOxDJxuEcuYLOtU3dc1t3PluMzBJbbOgprRy+MEpszYkfML+e7II/s0nRcM45t1E5gajUZ9YlyeMBFCOEpXqjy8wxbUUe8W5xGUuD7Nuc866bR5oHuB6YMpsGgh5IHkHydkhN2Pf3fgMrSshaKKe6TClEMP2J2d5GyiDCYYRWFVZbVaHfR1RbfjpvhSGhLtkXAS+cqlFMysCUxLZBSYwMflW+kay0B0i2jElmQ5BZAOUFxqXRePhqYxVLFyhdcqC1nhwj1uIIaj4Hkjdbt29F4QhK9uWie5RqNRl72jwBZWsuucI4TA9fVhr+cl3mBlwD+yDGouOOkAY3PzZe2hHBwzY5102lysOxxMIW0wM7J/3LEhAr3A+sCVAMkKxR4vgpbQgQhh+7HbzyatUghhXMse2nU4ijSynIZEO8ydRr7yMXLwXkITmJ7Crv26L01gakyD6AbRAfMPt2KdE2NwnsPn5QfnzRW5dbfVzl8SclFehcd3ZMt0vKbuDb1zQnDCz5rA1Gg0KhNjnFV5w1MIIbDZHPZ6XuIKLRm3NIFp9/eL735WeSSHZ5OVXGzaTa19tOMHmkUX16D26AwmGMvkNgeOE8iayap0j8zANHEU3xPiR+eK6OQZTCLC27eH3QAeHfXLEpdgH3+TYOHZaWVmjs8mMD2FXft119qvNyZCdBgzmGQ5bYsBEA8S8M3BdDScbhFN1L6Mr5OQ1HgTHv8zxTw9dW/mIsJFEL4b5rXr02g0zo9hGMg5Lyrge4/3/uBdqSytUJsw6+dAOB8AIa9PT2BaJyUWJbiJS+Q+IqQNlEzuXj/6ZXqBzaEdTLsMJveECIscOkL8frSBMIZ8T2Ve9N7jvT+461B0WKK+9EH8TV1X/Usp5fGbvFOwvDtZZcb268u30jWWgdPtTthc3lXbXIfoYWu8G+8Zyye3qKvrbltlRxDFP+FuUgg7galuOUjvHTfDvG7KjUbj/IgxEmOk75cVkAujgynGeNjyvrxhiUuUUSD0WDy9DKZ1VLbZ6MKE89E7mtN2cY0ZlO7xc58eSAbpgE3As44h9E8RQXPoCR93kdvNg6Ysjw0hHLaTnMYxsmGJCpMEMMOnurmgL6U5mBbO2H69CUyNaZBSP8T52UiHa2Ls0RjdbRke2UnlWKyy0D+yg9yeTMBT6Cq7mDovrA4542w0Go1nsHcwdd3C3MqMjohSymFdTGWN1Q4YfCYqHjvBuc8qFTap8Fk33dJRTDD5/nEQ0mYX8P34xfSYjCVcH9DFlPXpm1PZ9/g0gH0w79h9Pp0w6DuEcNDzdd+QaImygkmHicctPNJjH/I9F5Z3JFTmffv1ltvRODKmiC23JngUY5c7/rkzF3fbKgm9PE2kKQREjM+pH/Q9ZCXmJjI1Go16xBhxzs1qB/qxhBAws4N1pcrDCtNc+9b2fMSP64QTYx0VZXT+TsZdJXJx8+iA7z397li6tsOM3cx2AtPTFvQ59IgZ/ntlcoYZaJnu9+q9P2jXyn1DIpUnZCXMBXFjpEdedqRHznlW948mMD2R9+3Xl12r2Zg/YnHMX1roaWoSdsF5p7eTNwdEt5N2HrmLrLAtQvdEB1PZdUV8Q90ygt4LavDtpm0YNBqNegzDMKvd56ewDyY/VGhwHq4xzU/KtpkVu7mPPcPhMmdWSacvgFJ+oOF0aU16onN79DsZ3+lhjqlsBUWRJ/5GchjHHYb17ddk52CyCfe5QgjknA/mYtpHNljlyIbnYq5bdPyNmaGqs7qHLPTqXZFdC9LWfr1xbKSMIc42I0X6KdjuXPH59LIIqmM2CkyVD411FtSM3j1tZpQJKMKPpO51tPcOM/h63YK+G41GHcyMGOOsdp+fQggB5xzv3h3mXp+Ha7Qk3JROmQMizgPG5uab2kM5KOtUpp9yfLRedjkiJZOf2F3QC3QC14cSmLRQVJ/sIM9+LIENmw/dfuOHLGXaErlDug5d2YAZuOWV+MK4Ie50/fATZ0opBVWd1T1kmVfvirT2642p2FtOTZYX+gn7zgzg8rKD8+bIe3db5fK4LGQ1Xj1RYAIh0/GZ1A2B77zgHHx10xxMjUajDiml2QW0PgURIYRwsMVqiSssR+SJZVBzQXaVDvH6q9pDORhFjW3WaVOxdu6lD8+LLq1BjfSMY6MHVgeaMyXNZCv4J7rsiu8w5wjDB+eKGCLTCkx71+GhROGxg9wyr18ASLfLNZ2PA+gp5Jwxs1ndQ5rA9FRu26+3RXPjuLi95VSWOcliJ8a69IvaIzk5ZBeoaJUv4avkSGp81j3d210IXFDXkhyc0Hvh56vmYGo0GnUYhoFSyq4D2TI5ZGiwxpux/btfphvC7Rbv8frLyiM5HOuk5GK4Kdev9+QvYfpkBxOMQd/bA2UwjQ6mQhD/tB8UGTvJDR/OfXYh3xNWVHrvD+o6HCMbDvJSVRgjPQqyUBdTczCdCGP79WUehI3lILoLAXQLDM2DMTjPdYsPzpsjY/lk3JUh1mOVBVXj1RPnWADFPH3lLnIwlsldD6eVldFoNJZDjJGU0q2rYIl47w8mMFleYzyt/fucGP+Ojrw5nRK5dSpENfyUCpNxR/7SBkomda+f/HK9wMYOY1LJOm5K+WeIwtl3hI9CvmHaLnLOOUII3NzcvPzFTBEdlqwv3UZ6uIWuV/YC05xoAtNzaO3XGxMg+y5hC2bsutjOlUMzlk9uqgcqrrLQSXnWYZoJ9ESEujfFzgs3qQlMjUajDjFGhmHg4mKhbmVGB1OM8SCLHMvrpVaqACDiMPFYrlsCfkhWUdkk5XWYcNm4D/j+YH4R4poiHnuGu63fveT2AMdWeoHdKIcen9+LsWMzYMMmLJGDw7kOx9Ky5Zb4wvtID7/QiotSCqWUWW1SNIHpGYzt17cPP7HReAFOt1jlLmEvpZ0rx8HpZpx4VXa33SSh98+baBUCgvKKupPw3gvr2ASmRqNRh/0ib06Lg6eyDw1er1/m7jcto0P3QOOqhRGQcjpzn3VStll53VVwMH3wll3akP0Fz8mf7GR8uXcHKJPL+vwMzFFgSt+viRPDJj7qD+U6vI1sWGrXR9hFevjFRnrknMk5E8J8Kl4WfDTUY6zVzK39euN4WAGNt+1LF8teYJqy/+oZIDpQO+AbYJUdvTzvb1sIiMAbDmDRfgG9F5IaqyYyNRqNCiy5g9we7z1m9uKSmzTcjCLTwn8fOI9orD2Kg7FKBex5JWHP5g6BKcQ1yT+v8c34U8L1CwUmNaXYCxxMu/GH7XsxVrBJS+Tgvevwpa3tR0f9sNy8WBhtZK7Dl+vaI3kWewfTnASmyUZyeXn5Z4G/CnjgN66urv7KR9//t4D/YPfPG+Dfu7q6+vu77/2/wDVQgHx1dfUnpxr3XXzYfr34p9cBNxoPMe4IlOohzi/FpENMkbLCwhe1h3MyiG6r17sPBbIanz25g9xIJmDAF7zla375sIN7Ar13qME368ybfrkOgkajsUwOlV1UkxACIsK7d+/4g3/wDz77dcpwjWlevsAkHiGT45bQ1y1lPwTrqNMnNujusV+pmhHSlux/9KyX6wCH8Z2+bF6dtaD2fL9RCT1ghO2K/NluXiwGE1cseO9RVdbrNW/evHn26zjd4mwgu+e/xhww6RbrOiylYGazahQxyUguLy898NeAXwN+FfgLl5eXv/rR0/4p8K9fXV39CeA/Bv76R9//01dXV/9ybXEJPmy/vkwrXWP+ON0ilsag7AUznivLDc6bJVYQjdXjuVZZKAYXzxSYFIfi+VzqHhu9F8D4+ep0dpsbjcYyUFVSSrWH8WKcczjnuL5+mQMgD9doiTg/n5345yDiAWN787PaQzkI66TTe6Y/cjCFNLrhk3ueg8nJGPR980KBKe06yMmzS+Q6QAjDh/EANnkkxr6s9aWuw3HD08Ate4NujPRYZmVSKaOjbk7C/FRX8D8F/JOrq6vfAri8vPwbwJ8D/tH+CVdXV//zB8//O8CvTDS2p7PwWs3G/Bm7hA0UWfbO121wXvwF5dV8T+klMQYq5urutlVylGK86p5rFRcyHa9lXbW9beeF4ISvVrneIBqNxlkSY6SUMqud5+cgInRd9+IMJo0rtETCq2U7np0PWIJ4/RX83j9SezgvIhYlFmXysvz93tXu1AhpDark8Px5cQdsXvg5smayFcIzBRV1AfWBsP1IYJq4RM57f+s6/KVf+qVnv86Ys7rs6xeMDiavb8eIElmWWJbz/FyfUx0Rfwj4Zx/8+7d3X7uPfxf47z74twF/6/Ly8u9dXl7++hHG9zTEgQv4/K72SBoniugWNIJbcE0zjGKsBHxpYuyhEN3iLFe/Ad5kIarxpnu+OlTMc0Hd8hAnQu8d366X7yJoNBrLYhgGSjmBzCEOExqsaYUZOPf0LmFzYnRgCenmq9pDeTHrqKRi+Kk1hI+mFl3cgCrpBQJTL7B5oVMoa6GoPltggtHFFOL7ciyR6R1M3vuDuA5dWX5DIgAkAIrk5eUwzfEeMpWD6a5Pfeeq5PLy8k8zCkz/2gdf/levrq5+9/Ly8g8Af/vy8vL/urq6+h/v+NlfB34d4Orq6kU1pQ/zOb03PvvpT4/4Ho1TJoTAT+87fr79Z5Bew+vPpx3UUficvi+8aefKYVitYXAgvwe6z476Vt65e6+jeuPoQuLNq/7ZG5tir/jMNrzp6tbuf7Eykvj7z8fGbPnkdbTRmAGfOkZTSnjv+fGPf8zr18vO9Nxut6xWqxedj+v/rxBdR98/rwxqTqw3AdGbRVyfPnWMrn+xwV9s+cIrb95M93cp20LpCq4fla3XJDxgr988W9x5XYzvCviuxz9z3mJxFGdCeL4Iqv1r+hxvj/MsHszz+vVnODedUPDmzRtU9fnHqCaI/bgZ/uq487hPzUcPQnZgP+f3fS7wxfzP2Q/5nd/5HS4uLo6se/yQGO+PlphKYPpt4A9/8O9fAX734yddXl7+CeA3gF+7urr6Zv/1q6ur393992eXl5f/NWPJ3Q8Epqurq7/O++wmW62O1/7ax4LoL7j++uujvUfjtPnpT3/K1/ccP6/e/YywHShat4X7IQixYOlbbtq5chC69ZdcrN9Swu+DeNzj482bN9x3Hf3musdrIqbnZxdtgVds2MTvUOrtWGuOfLO1e5sX2PoAACAASURBVM/Hxnz51HW00ZgDnzpGv/rqK96+fctPfvKTe6+1SyGlxGq14ssvv3x2N6Pt6hdkzZ9cuCyFYg5bv13E9elTx+jvfLPh67c3/OjCsVpN5/SVjWDZkLgTXNbvGMxRFNDnleZ7BVX4xRD50TMdWds4oFoo5fll9VE8F3F9e5xrgVI6rq/XTNkIrJTCd9999+xjVPINr2/eIjmhpd589CBYoUuZ4ee/xTD8+HjvcwR+8YtfMAzD5PeQT+UHTmV4/LvAH7+8vPyjl5eXPfDngb/54RMuLy//CPBfAf/21dXV//3B199cXl5+sf9/4M8A/2Cicd+PhF0WSmu/3jg8ots5dKE/CEsOzpsjYjtbdeUA+FV29PKy618Z9yN5w8tCJl9K7x3rpBSt3Zuv0WicEzFGRGR25Q3P4aWhwSVHrMRTmfqMOYm2fKFstSuRexUmnnN8dDsOcUMKL4uN6AQM4VpfUN6m5cUd33LokaJI2peUjonmNXKYXlLW+r4h0bIyi+5EPIjH5+9qj+TJ7EO+58QkV4urq6sM/GXgfwD+z/FLV//w8vLyL11eXv6l3dP+I+D3Af/J5eXl/355efm/7r7+S8D/dHl5+feB/wX4b6+urv77Kcb9KUw6BEVy3YVR4wTROIbMncha16TDaRqttI0X48qW2uqjGqySENzLbmqZgIjxhro1770Xihrvhhb03Wg0pmMYhpMQl2BcrALPFpjy9hqz+YXVPhvnEV2+wLROBScVOlT9IINpTfYvE5h6QDDe2vOWv0ULavriKVgOPWB0wy4UXwwz0IkFphACOWdyft7cR3RsSKSy/JJWAJMeKS9rVDA1ZkYpBbN5LRonM+JdXV39JvCbH33tP/vg//8i8Bfv+LnfAv6low/widy2Xy/vKN2Pag+ncUKMOwIZO4UdAcDcGJznyjXqfm/t4SyesWNHXTZZMIz+hQJTIWA4vpC3fFnx3tj78fN8s8785PWyw2UbjcZyiDHObmHwXEIIiAhv377lV37l6V1j8/AOK3nSDJpjIi4gRYnrd/SfLXedsE4KNUQ/5VZkEs34MpD8yzJmAqOz4q0+T2BKu4Bv99JOdH4UZPx2BZ//BNl90GdW/j0b7z2qymq14sc/fnpZ2NiQKEO38IZEeyTgFiYw7cWluQnzy+8rWAlzHSD42LpjNQ7LuCMQsen03+MiHWC49Lb2SJaPJrD8Ynv2S1llIStcvLBEznBkAp9LfQeTiPDVTXPZNRqNadg7B+a2MHguzjlCCM8vkYs3WIm4F7pU5oK4cSN6c/Nl7aE8GzNjnRSZWgQdK8Zuz42QtpgZ+YUlciJwIbB+5hwqa6ZYebHeVkIHIoTtLjNHDBEoZXoHEzzfdeh056g/kWuYuW4Wm7hPoZSCqs7uPtIEpmfjMfGt/Xrj4IwC0xY7kUmWyehS8fnb2kNZPHLrbqucv5SEXJRX4eUZdIXAK+pmdAUnBNcEpkajMR0xRkopOHc6U/EQApvN867nJa7QknEvFBHmgtt1Okvvvqo8kuezyUouFRx2d5THofriDCaADlg/04GUrZC10LmXbQCbOIrvCfsSuVsH0/QZTHvX4XNYmhjzECZhzJQqz8+lmprmYDo1RMZsmdIymBqHxel2DI93p1HTPAbnBXxaXnDe3HC37rbaAd9CUuPNAUx2xTw9dW/mIsKFF962DKZGozERwzCQUjopgelFocFphXIagecAzgdASOuf1x7Ks1knJRYl+In/Jh+UxwGEtIFSyN2rF790L7B9poMpaUHN8O7lERY5dIS4F2jGDzu1g8l7j/ee6+tnuMjNTqohEXwQf5Pf1R7KoymlnG/I98mywFrNxvwRHU7qgg1722k7V17KPlDR/Ouq41hlRyeKP8AdJBPo2VI71b73juthfjfpRqNxmuwFpr4/kc0kRgfTc3OlLK+rl38fEuccJh6Ny40HWEdlm41+aoFpVyK3nwt3cY0ZlHAAgQlIBvEZBuyshytpzaEn7LrIya7KbOoucjCes9vt051IYruGRKe0YJEOzBbVSW5fIrdvsjAXmsD0Akw6ODF7YKM+MoMuYQdHOlypWwZ1Cohuxxu61A2iXiWhe2HA955CwKN01L2Wdl7GMNNGo9GYgH2JXNedTmMB7z2llGctWCkbam80HBrD7+Z0y2SVCqtUeN1NvFy8w8GU/NgD7qWMqaDC9TPEzHzAFO7se0IexooF2HWSW5DAtItsOCUpwSRg4nF5OfE3OedZllrPazQLw1zAaWzt1xuHw/TkapphV9d8gp9rapxu3291VWSVhf6FAd97CgER5XPqlhv3XhiyEnMTmRqNxvEZhgGR0ykJg3GxamasVqsn/VweVpjm2re2wyMe0Vh7FM9mFRVsdPhOyt7BtHvbLq7JB8ol7XfH2Dt72mcyM5IWDiWC5tCDgd/lMAl1BCbvPTE+/RjdNyRSOZGGRADixkiPvBzX4b5Ebh/YPheawPQCbms1y3JqNRvzZpyIKKd2ao7BeXm3Q9l4LnMQ6bLCUA7nYMp4QHhD3eto7wU1+HbTNgwajcbxec6ibu7sFznv3j3tep6273YC02nNfdiFBtvU/ecPxDppHdHvoxK5EDckdyCBiVHMeadPO9ayFYzDdevKoQfsgxwmvTUzTUkIgVLKk7PTpOwaErmXly3OCXPLqrhoAtMpsitTae3XG4di3BFI2Ilt45mMpmS/oOC82WE25nNVZpUFNaN3h3MwKcKPpG7Ne+8dBny9bkHfjUbjuJjZSQpM3nucc08WmEq8QUvCTe2UOTLiPGBsr5cZ9L2KpU5gg+4eAi5HRPNOkHk5XqATni4waaGoIgf6jYyfRwibndtPDHuiq+oQ7F2HNzdPc5E73SJm4E6nxBfG9cqSMmP3Ad9zc8Ke1pV8Ysb264JfUK1mY97sLacmpxP6CXu3H4uqa54bYsMsAhVXSchqXBxIYAIh0/GZPK2k4tB0XvACX900B1Oj0Tgu+/yluS0KXoqI0HXdk0vkynCD5Yj403JDiAsIxnDzs9pDeTJFjaFonVSs/Zs66NIa1EgHKpGD0cW0fuJcKmkma8EfyGVXXMCcI2z3wk69EjngyZ3kRAfs1PJiYXQd6gfZWDMn58MFzx+SJjC9BPEgHT61RXPjMLh9lzA5rUkWEjA8rp0rz0bKdrTaV75sr7IjqfF5d7ibbyFwUTnkOzih88LPV01gajQaxyXGONuFwUvx3j+53EbTCjXFh9NyQzjvMWC4/qr2UJ7MOim5GFM3kAO+H/Ad12BKDocTmDpg+0S3UNZCsUKQA3XrEhk7ye1L5MSqdZF7jutwDpENx2CM9CiLcTHtHUxzowlML8Rch5RlHISN+TNesBXcvNpNvhhx4EIrkXsB791tlTvIZUHVuDjgIVoscEH98r/eO94N87xZNxqN02EvMM0tN+MQPKcrlaVVFffGsRndIY6y+ab2UJ7MOhWiGqFGd6oP9q+6uIGSSd1nB3v5XmBjYE+wZ2XNY+74AX8f2Xe3ApPsVLWnjOkQiAghhKeVyJnuHEynxz7Swy1kvdIEphPFJOB0OWFgjXkjuh3FmBPEpGvnygtwukXKUD1QcZXGgO9DbrxnPB0Roa4lufcyds1pNBqNIzIMAzFGLi4O58qYC957UkqoPuFaWjYnuVgVcZh4LNXtkvocVlFZJ+VVN73wJx+IjSFtKBIwfzgxtmfUsDZPOOiSHj6PKoeekHeba7ITmCoFfT/FdTiWkJXqHY2PwT7SYynVSXMttT7NleyU7Gs1G40D4HRzkrt4sLOdLqgzw9wY3W0Gru6O9yoL/YE6yO0pBBzKK+rmMPVeWKd57gY1Go3TIcaImd3mn5wSIQRUlfX6ce5+0wJle4ppLgAYYZHlRKtU2CbldVdhqWhgO8GlS2uyHwOxD0UnYAjXTyiTy5oPOgYYBSaXE5TMvi5QS50cpqcJTFuc5dPcEL+N9Pi29kgeRc4Zm9r29ghO8MiYFpOutV9vHAYroAmR+V0oDsLCgvPmxjhBrT8FX2VHJ4f9GxYCCLyh7i5v5x2xGKvYRKZGo3E8nppRtCT2otljS27ScIPpaeZRAeA8osvrGLhOigCuxt9Fuc1hCnFD8odtfLN/tbePFJjUlHKEueu+M14Y1qODyaBUymEahuHRrkOnW9AtKqfnwEQEXIcvy3AdthK5E2W00hk+v609lMbCEd0iVrBDBQjODJMOQZG8jIv23JhDvfu2QFajP1gHuZFMwIAvqHsd7f2YgvD1OlcdR6PROG1ijCcrqIQQEBHevn3c9Txv32FacO40fx+IRyjkuKyN6FVUqv1J9pMdU0LakN1hhYwOcBhv9XHL4KwFtcP3TBudWUbYrhEMgypB3957zIzN5nHH6OhginCKAhO79coCjCOllKeVIk9IE5heyPv2699VHklj6Tgdu4TNwaVyDPZirCvLCM6bFVYQjdXL3VfJURQuDlwipzgUzxdSX2AC4+er5e02NxqNZVBKIaXT7VbpnMM59+i25yXeoCUilcu/j4WIB4zt9c9qD+VJrFOps6llvHcvpQHMDu5gcjIGfa8eKTAlLRQtuAMvm0cHkxCGG2B0jNUwpIQQMLNHuw5Ft6McdmoNiXaYBGQBmbGlFMzsoMHzh2J+I1oau1pNv5BazcZ8kbJFdEClbojzsTDXAYKPywjOmxOiW7CMVb5kr7JQ1Lg4sIMJhEzHK6nbkbPzQnDClzenu/hrNBp1iTFSSpnlouAQiAhd1z3aDVGGUWBy3WFFhLngwtj5dbj+qvJIHs+QlVQMqbHhuROYBCGkNaiSw+HnxR2wfuTny5rJVvAHPmfNeTQEwnZXIid1SuS894gI7949bgN4LpENx2JsShTH6JIZ0xxMp4y4sVZzIe0MG/NFdAsa4cBW4PngMfH40gSmpyI67AIV6+4WrbIQ1fi8O/y+ZjHPBXVzSZwIvXd820rkGo3GkYgxknM+WYEJxgXrdvu4YGvLK8zAue7Io6qDcx4Q0s1yBKZNUmIxfI1DdJ+/JNDFUWBKRxCYeoHtI5vqZC0UVcIRHDvZ94S4a+ICaIXph/ce59yjBSZXtnCiDYmAXTMdRfLjXJi12AtMc7yXzG9EC6R1x2ocgnFHwJ1k208ARMZdgYUE580Jp1tEt6jU3eFdJcFR6I6gc2UCF9TvtNN74aaFfDcajSMxDAMxRkI4zZIwGEtuYnxcqbGl9cl2z4V96LlDh+VEadykQixKqBHCtN+/EghpA1rI3REEJmAwKI/YL0uaEeEouWk59IQ03E79tYKDSUQIITyu86NlsHTKBqbF5CvnnFHVWeb5NYHpACylVrMxb9wC29g+GQm4UrcMaolI2Y439MrutnUW+gN3kNtTCAQynrrlab0XVnGeluNGo7F89g6mi4tTdSuPokpK6XFZU2Vz0otV2C1Y83LmPuuorKPyWVdJYNrdgru4Jrv+KFk//e6tVo8QmLIeb9Mp+46QtmCGiGGPzIU6NPtOcg8hZYtYxjjN/CUYS+QMN/v4m1IKpZTbzp1zoglMB8CkG1uQtvbrjRcguj2DSVYH5yCkHRjZ/86kdgaToztwwPeegkcwPqOuw63zjk0qFK3ds6/RaJwi+0XcHHedD8VjQ4NLHrASqd4i9cgYHrRuCfhTWCclqXERKsw5PiiRC2lDCsdxbvcChnCtDy/OsxWONUHPoUdUcXkAsWpuvscKTO8bEp2whCAeJOBn3sCrlELOuQlMJ4sEhNLarzeej8bRdnriCpO5MAbnaQtRfgpOt9Un4GpjiVx38IDvkUwAMd5QN8+u90Ix+G7bcpgajcbhiTGetLgE3C54VqvVJ5+XNu8wy0iNUqwpcQ5X2Z37FFap4I5UEvYg+y5yAl3ckI/k3B7bzhjf2aeXwkUL5YgGgrGTnBGGDYJhleZ6e9dhzp+e+4hukTKg7jQbEu0x6ZDy6etXbZqD6cRZSq1mY76MOwKnbTmF9+eKKy0U/ymM7ra6E/BNFgw7aomc4fiR1L2O9n78nN+0oO9Go3EEYoxYrVXkRIQQEBG+++7TDoASb7CScScuMIkLYEpcz9sRsWcdK+a63HaRy/gykNxxHEydgAfePVCSlnQXpHyk30f24+cL29XoYKqQwQTcZsI95DrcdzXmSH+X2eACbub5ynsxsAlMJ8rYft3hUuuO1XgeoltEE1a5S9jRkbFLjEtNjH00mnahinUn4KssZIVXRyqRMxyZwBup27Wj94KI8LOb5ew2NxqNZZBzJud88g4m5xwhhAcdTCXeoGXA+dPNo4KdwISxvZ5/JzkzY52UalaaXYlcSBvMjByOd2z0AqsH5lZZM8XK0eoLcuhABL9dAfVK5Lz3jyprdfsNzxO/ho3xN/OO9Chlvg1pmsB0EHbt1/O8w8Aa80V2XcKscojzsTEJGILPTYx9LLfuttr5S0lIRXkdjmcVLwReV+4kF5zQOeGrVROYGo3GYRmGYbYlDYcmhMBm82kHgMYbrBTcEUWEOeCcR4C4AIFpk5VcM4Nw99Zd3kBR0hGPjQ7YPCAdZStkLXTuSF0fxY2d5IY1iFbbTNy7Dt+9+3SFgcwgsmEKTMKYNVXmm51WSpntZkUTmA7Bvv26zrtWszFfXNmOIfGnbjkVD9Lhm9vv0YziY8QqX65HB5Px+oidtYt5usoCk4jQe+Fty2BqNBoHJsZISmm2i4JD4r1/MDTY0hpFTv734fy4uZZWP689lAdZRSUVJfiKJXJAiGvQQupeH+2teoHNA4JO0oyZ4Y/QyW5P9j0hbncZTFLFPLZ3HV5ff8JFbjaLyIYpWEL8TXMwnQMy/1rNxnw5lws2jCWlUpbTrrc2o8A0YP54k6zHsMqOIIo/4l0jE7hgoPb2WO8dN3G+N+5Go7FMhmEgxsjFxWk7dmB0RDyUN2V5Xa0Sa0qcc5h4NM0/f3KdlE02+loC084k3aUNZqDHLJEDskH8hDE7azl6/50cekJ6P/epldH2kOtQLIIVas/RJkE6MHAz7iTXHExnwFir2QSmxvM4F8spjLsCrp0rj2Y8NsptflUtbpJwcaT8pT2FgKPQV3Yx9V5YpeOVAjYajfMkxoiq3gbqnjIhBEopbLefuJ6XhwqUTgfDQ5l3pgvAOhY2qfBZV2eJKCaYGCGuSf6CY6o7vYAhXH/CxZS0HHUMMOYwhTwA4xxLKwV9P+Q6lDNpSAS7SA9xuBlHejQH0xlgLiCaWvv1xtMxRXS+Nb4HR8J5fd4XMpdAxVWWo3WQ21MIiMAb6gZ9d16IWYl5vjfvRqOxPPaLt7nuOh+Sh0KD87DC9IxKkcXjNNYexYOskmIG3THtyp/iAwfTvsPasdi/+ju7+7Oa2ehgOjLF92Dg4wYDtNT53e9dh/dxG9lQecNzEsSBBPyMXYc559l2JG0C04EYT7bWfr3xdER3ltPKIc5TYdIhlqGVlD4KKVuO7s9+gKwQC3RHdjBlxl39N9S9jvZeUINvNme0+Gk0GkdnGAacO497/d6ldV+mS9q+wzSfze8DFxCLaJn3fWWdtO5+lo2PEDc7B9PxGHuAG2/1bkdOtoKZTlIiB0ZIGzCwig6mUsq9LiYp+4ZEryYeWR3MdTidZ6SHmaE6X6f9mVzVJ0DGG6lL863VbMwT0c0suoRNxRKC82aDGWL13V6rLBSD3h3bweRRhB9L3WOj9w4Dvl7NeyHQaDSWg5mRUprtjvOh8d7jnOPt27uv5yXeoCXhajllJkZkFDGGm68rj+TTrGrmD+7EJV8SovnoDiYvEATe3SPoZM0UU9zRS+R6QAjb0e1Xq/IphPBJ16HTLZjBsTrqzYw5x9+UUlDV2bphz+OqPgG37ddbd6zGE7kNcT4Hyyl7gWnewXlzQWzYBSrWZZWEosbFkQUmEDIdr6VuR87OC17gq5v5lzM0Go1lEGOcdSjroRERuq5jvb7bAVCGayxHxJ+HG0JcQDCGm5/VHsq9ZDWGUtEVsReY8gBqR3cwwVgmd18SWNJC1oI/8gZwcQFzjrC9RgRKqedgAnj37m4X+RhvcR7XL2AX6bHr8j0z9uVxc72fNIHpUOzbr7dFc+OJuFuB6TwmWUjA8Pj0be2RzB4pW8QSJnUDFW+yIxXjTXf8m2wh8KpyyHdwQueFr9fNwdRoNA5DjJGc82wXBMfgU6HBmtaoKT6cx+aa9x4D4vWXtYdyL+ukpGK4Wofoztw3loopKRx/XtwDm3symLIWihXCsedgIuTQ0w3j5toEsU93EkL4pOtQdHMu/YiAcUNcTGfZ+bqUMusNiyYwHZDWfr3xHES344aAO/2uDMCYNeU6XG55ZQ8hukVK/UDFdRaKGRcTHKLFAj31ywJ773g31HePNRqN0yDGSErpLDrI7Qkh3NtFztIK+0T3rlPDeQ848uab2kO5l3UsxGJ0tXKx9vlLeQslk7vXR3/LTmBrY+XXxyTNGEySE5ZDT5fGciyt5GASEUIId7sOrYyZsWfEOPdW3AwjPUopsy63bgLTAWnt1xvPQbR+iPPUtHPlcbx3tx3fJv4pbpJw4cokwZ+ZQEdEqGtJ7r1wE+dni240GstkGAZSSlxc1L2eT4n3npTS3WG0Z9boQ8Rh4rF0d77NHFgnZZOVV12lOakyCkxpQxGP+eNvrvW7t13fsVbPWiabnWffE9IWEasW8g33i8Kiu8iGmTpmjsEY6SH4GeYr55wppcx2w6IJTIfktlZzvopiY3443Z7dIWMSdt3RGp9iFB/rByqus9AfuYPcnoLHobyibg5T74V1mvcOUaPRWA4xRszsNufkHNiHBq9W37+ea8lwhnMAI+xybObJKhWGpLzu6jqY+rwiT5C/BNALGML1HWVyWTNTbQDn0OFKRjRjFTed7ytrFR1wlsZImHNhF+nh8vwiPUop5Jxnez9pAtMBGduvl9kmzjdmiGXQdE4bAsC+M8Mwy+C8OTGWT9Y/OFbZ0ck0f6tMAIHPubu19VT0fsydai6mRqNxCIZhmG1exrHw3t8pMOV4g+l55VEBIB6x+ZYZraMiAq7W30XHR5dWkwR8A+w9Uu8+EpjUlGI7S9UEjJ3kxoBzrexgijH+wHXodAM6oHLczn6zQgRcjy/zcx3uM5iag+kM2Ldfn2OtZmOeiG4RK9iRO1TMDgkIBcnzu2jPidHdVncCvi1jZ5n+6B3kRgoBA76griW584IB32xa0Hej0Xg594VdnzIhBETkB6HBeXuNaZkk22ZWOI9YIcd5bkSvUuUNFQPMCGlDdtMIGT3gMN7q94/FpAU1Q6ZyMPkeMFyqO+/bi8If5zCJbnE2QOXIhqkZKy7ml6+8z2Ca6zV0nqNaKPsg3iYwNR6L23UJg3laHI/FXoz17Vy5Hys7d1vdEq1VchRlshI5xVMIfCG1HUzjBO/nq/nuNjcajWWwL2c4N7z3eO9/0Pa8xBu0RFzl8u+pcc4Dxvb6Z7WHcifrVOp1kIMxESAnsEIK0wgZImOZ3M1HAlPWTNGCm2ipPDqYBJ9WUFFg2pe13tx8fwNYdDuW7p1LQ6Idto+/mRn7+8lcXaBNYDokrf1644mIDohu0XPbEXAd4HDpF7WHMlvGPLeMVb5Mr7JQ1Hg1kYMJRhfTK6m7Y9R5ITj46iZVHUej0Vg+McZZt5Q+JneFBpdhFJikO6NyG0B2odXD9VeVR/JDhqzEbHVd0wo+J8SUFKY7Nnpg85FTKWshW8FP5BAx59EQCHFTNeTbe4+I/EAUduX8GhLBaB5xGkHntUEw9/tJE5gOiQi4Dt/arzceiegWNIE7L4EJPCYen5vAdB/vAxXrC0xRjTfddE6qYp4L6u4YORF67/h2Pa9JRaPRWB4xRnLOsy1nOCbe+x8ITJpuMOPsHEzeeUBIN/MTmNZJSWr4mhYmGzOIUCWH15O9bS+w+UhYS1oopoQJHTvZ96PAVLlEzjnH9fX3XeRzdPFMgtvF35R5re1Lmaaq4Lmc353uyIy1mvOsrW7Mj/GCLbMIcp4Ukd2uQMtgug9XNogOqLyqOo5VEhyFbkJXdCbQUz+vpPfCTZz3TbzRaMyfYRiIMdL35+XYgdHB9IP8qbyuni9YA+c9hkOH+W2urVJhyEqtBnLAKDCVAbSQu+nmPh0QDcoH+2hZM8K0JUg59IRdd0XVOvEIIkII4fsZTJrGpkRn2FR3jL9R3MzMI01gOjPGWs0mMDUeh9PztJwCIAHXxNh7ER1AY3V32yo7+ok6yO0pBAIZT93ytN4Lq9ZFrtFovJAYIymlsxWYcs6k9P56bnlztlMfkzB+/pmxjsomKZ/19ZaGooLPA9l1INPtavWMDexuvicwTb+Az74jpA0Y1TvJfSgKjw2JMjbh32QumAQMN7v4m5zn3YWzCUwHprVfbzyFsQ197VHUwaSDc7XcPgLRzVgeV/kGskpCN1HA955CQDA+o67DrfeOTSqUSjuJjUbjNBiGARGZ9YLgWOy7Uu1Dg3PaRQOc7WXVj+uEmbEvkds3uKiCQUhbkp/Wud0LgHCt7wWUZHnysO0cLnAlISVXzWH6WGByukU0cZaygXiQgE91Oxt/THMwnRsSELS1X288TBlGy+mZYi7sgvNaiPJdON1Wn4CrwToL/YQB3wAZD2K8oa4lufdCMfhue77naaPReDkxxrMUl2BcrALvBabtNaYZV7VdWUWcx5EwnddG9CoVRCp3pTIIaUPy0zr9OkAwvrNxWZy1oGaTbwDn0CFWcCVWdTB570kpve9UptuxIZGrG9lQi9E8UrfxzIeYGaUUzOar0jeB6cCMtZqt/XrjEZTNaDnlvEIu9+zPlbkF582FObjbVgkUq1Iipzh+JHV3jDovGPBNC/puNBovYBiGWS8Gjsm+K9Xbt+O8uMRRYJJzFZgkgClxM6+5zyoqrvakoyi+RPLUApOAB97pBwKTKm5isS2HHrGMy6lq07IQwvdch2NlTgZ3fiW+ALgOV+YjMO3FpTlvWjSB4VMIqQAAEaVJREFU6cCYG2s13cxqNRszpGwQjWdZ0wyMkyzAzcx2Ogs0gZXqDqZVEkqBfuISOcNRCHwu1w8/+Yj03iECX900l12j0XgeKSVKKWfZQQ7AOUcI4bYrVR5u0DLg/bl1zx1x3gPGMKNOcmbGJilWc9Jh4FNCtJAqHBu9wHpXEpc1U6xMLrhl3yEUXI6Uyg4meO86dLplZ2+rNqaajPnK8ylrLWUUQJvAdFZ4aO3XG48hrxHdYmdrOQ0Y0s6VO3C3gYp1L9E3CZIqn4XprfyFwKvKneSCg84JP1s1ganRaDyP7XZLKWXWi4Fj82Gmi6UVVgoSzlRgch4B4vV8BKZ1LGQ1qprKFFwe84dyhWOjBzY7QSlpIWshuIk3gMVRvMfnhJa6GUwfug5Ft5PnUc0Jk4BYgjKP3Ni5l8dBE5gOz779elnVHklj7pQNmIHrao+kDuJButkF580B0Z27rXL55E0SshqfVRhGtkBP3Zu5iHARHG9bBlOj0Xgm2+2WlNLZOpjg+wKTphVq5xl4DuD8uLmWVj+vPZRbbmIhFcVXzl/yKSKaSd3ryd++E9jsHUyWMTP81AITUJzHl0SpKDDtXYc3NzdgNovIhpq8j7+ZR1lrKWX2rtj5jmzJSMDp/FqQNmZG2Zyt3XSPuQ6ZUV3zXNgHKtrEnVQ+ZpWgE6XGPazg6RmoXSfYOeEmzrtbR6PRmC/b7ZYYIxcX5+nYgbHk5jaHKp/3Pd85h0lA0zwWqwCrIbPJSh/qCkyuJDBFKzmYskHUMYOplqBSQo8vQ9UucjCKwpvNBrE4RjacscJk+0iPmVRc7EvkmsB0ZoyL5iYwNR4gb2qvnatjTYy9k7GDnILUdbfdJJk8f2lPIeAo9NQ9PnovrOK8uv00Go3lMAwDqnrbTe0cCSGgqmy3212ZyfkuVmHMGZxLuQ3A9ZBZJ+VNV3FZqGMGU3aBGsdHL2AI1+ZIWk9QyaHH5zhqOhXZi8Kyj2w4Z8lA9vnK8xCYcs7knGd9Tznjo+V4vK/VnE8gWGNmmILOZ3JRDQm72u4zV9o+QnQY5zaVHW6rJJN3kNuTCYjAG26qvP+e3gtDUba5uZgajcbT2W63iJxvSRiMi1Uz490vfo5pPnd9CcTjNNYexS2rODYVCb7istDGDKZcoSwNRgcTwNu9g6kSYye5gqS6x0cIgRjjBw2JzjTOA0AcuK6VyD2B+Y5swbxvv163A1JjvogOoGW8aJ0xJt14I20upu8hM9jhTQpDMbqKDiaAL6h7Q++8YAbfbloOU6PReDr77KFzZr/T/vbbLzHNdcOk54ALiEW0zOO+cjPk2vtZo4MpJ0qlXNIOcBjfFcNMq03Bsu8Qy7ihrsDkvaeUQt68Q3Rztg2J9ph0OJ1Hee++RK45mM4NCWCGS29rj6QxU0S3oKl6l7DajHXNhsvtXLnFdDw+KrNKQjHoXR0HU8FTcHwhdUPge+8w4OvVPBYCjUZjOZjZWBZ25njv8d6zevc1miN+xgujKRAZXTrbm68rj2RkFetlDu3xKSFFSb7OseEFgsC7ohRTfMUSObGCxLrda0MImBlx83bXkOi8z1nbV1zMgJzH+eicXbHnvbo9EiYBE4fP39YeSmOmiI45BCb9w08+YfaW2yYwvUc0Akrt2d4qC7koF5UcTCAUOj6Tuh05ey94gS9v5lPO0Gg0lkGMEdWW4SYiYw5TvMFKBHe+gecA4gKCEa+/qj0UshqbVJDKSQUuDmCFUiHge08PbLSQteAqbQCr70AUSXU3tfbumGH9HU0u4INIj/rX81LKrMUlaEfMcdi3X8+t/XrjbtytwHTek6wxOM/j0ze1RzIbxg5y9d1tq+yIxXjT1Zt1FjwX1C0v8U7ovPBNczA1Go0nEmMkpTTrrIyp8N4TJKFq+HDGeS7sMqmA4frL2kNhnZRUDFd5wRpiREohVRaYohaKFYLUyYICUHG4Ujf30XuPc460eXvu/YiAfaSHzqLzdal8bDyGyfxul5eXfxb4q4AHfuPq6uqvfPR92X3/3wDWwL9zdXX1vz3mZ+dI6yTX+BSi2zHAuVKY4WwQ2QXntbyyPaPAFKu721ZJMC28qniIZgvVBSaAC++4jvO/oTcajXkxDAMxRrruvAUVGB0RgYjVrsWaAc6PJeC6rV/psI6FWBRfORjLpYhoInc/qTaGXmCleawIqygKqxNEFbN6vV5EhL4LlPQW5Ed1BjEjPoz0KOHzqmNZgsA0ydlzeXnpgb8G/Brwq8BfuLy8/NWPnvZrwB/fPX4d+E+f8LOzo7Vfb3yKudTxzgGT0MTYD3C6RbS+u22Vhc7VC7qEMeg7MCDUtSR3XriJ9W3RjUZjWcQYGYaBvj/vcnh472BqbggQcZh4NNXtkgqwSsoqZl53dQUmnxIKmK8nxnaAWSZXdnOp87iSqdjMDoBXnVFyonZkwxwYBSbwqb4onHNuJXI7/hTwT66urn7r6uoqAn8D+HMfPefPAf/l1dWVXV1d/R3g91xeXv7yI392fkjX2q837sXpFmzeF4epMAmINcFtz634WDlQcZ2lWsD3noLHYbyifg7TOhasXc8bjcYT2HeQ8/7M3cpACJ4g9bN+5oIRxo7ClVmnwpCU113dMk6XMlo5GqAXEC0M1D1fi3eIKTbULc0fBaY4Rr+cOxJG88gM4m+W4GCaagXzh4B/9sG/fxv4Vx7xnD/0yJ+9k9/4b+qpjD99s+KP/J41+g/+82pjaMwXJ8bvvn3Dl9f1Jxe1+eUvNvzyj67R/+M3ag9lFogYN9vA//N13Ru6Ilxo5B9XLFF73Sf+2B/Y8sfsN7GKkYH/AsLWHP/wb0vbx5sZIm5sKd1ozBADfmwOv/ms9lCq88oymwL/9N0vc53/QO3hVOf3vzZ+8vo7fvG36s59BPhTBhdWOWfwM8MujN/b/dNqQ1Dgj34xnreuopOqV3itCbe9hqHerONCt7zdwn/xm5GsdZ07It9Vv9f/i78U6cM/wvjHVcfhMH6/dYRvf1Z1HK8/sVkwlcB019nx8bDue85jfhaAy8vLX2csr+Pq6op//z/8954yxkaj0Wg0Go1Go9FoNBrAn6k9gMbimGpL+LeBP/zBv38F+N1HPucxPwvA1dXVX7+6uvqTV1dXf/Ly8vLvMYpT7dEes3y0Y7Q95v5ox2h7zP3RjtH2mPujHaPtMfdHO0bbY+6PdozO+vEDpnIw/V3gj19eXv5R4HeAPw/8mx89528Cf/ny8vJvMJbAvb26uvrnl5f/f3v3H6tlXcZx/I2AiIJtyVBSnNSoZViW2tzKam6w0ga24pqjGUvKH+G0ohal1vqjbJmWbRWJCVKmXiktayZLNrTC2bJh8cNNM02ECSUFY4WCpz/u74nDGQfPw3Pfz3mO5/3annHzvX/wfbbPrueci+/93LF9EOdKkiRJkiRpiHRkBVNm7gWuAFYBm6qh3BARl0XEZeWw+4CngCeBpcCnDnVuJ+YtSZIkSZKkV9axxxRl5n1UTaS+Y0v6bPcACwd77iDc3OocpQ4zo+p2ZlTdzoyq25lRdTszqm5nRoeRUT52WZIkSZIkSe0Yuuc+S5IkSZIk6VWhY7fItSsibgU+CGzLzBll7G3AEmAC8DTw0czcGRFjgVuAd1C9xxWZeV055wxgOTCe6ra7q8rteVJbaszoGmAK8J9y6VmZua2Db0WvUi1m9Ejgh8CZwMtUtXJNOcc6qkbUmNE1WEfVgIiYCqwATqDK3c2ZeVNEvBa4CziFKqeRmTvKOV8EFgD7gCszc1UZt5aqdjVndA3WUtWs1YxGxHHA3cBZwPLMvKLPtayjXWY4rWBaDry/39gtwOLMPA34OfD5Mj4XGFfGzwAujYhTyr4fAJcA08ur/zWlw7WcejIK1S9Qp5eXH+Sqy3IGn9FPApTxmcANEdH7mWEdVVOWU09GwTqqZuwFFmXmm4GzgYURcSqwGFidmdOB1eXvlH0XAm+hyvb3I2J0uZa1VE2oM6NgLVX9Wsoo8F/gWuBzB7mWdbTLDJsGU2Y+BLzQb/hNwENl+zfAh8t2D3BMRIyh6ma+COyMiCnAsZn5cOlsrgAuaHzyGhHqyGgn5qmRq8WMnkr14U75gfJfwJnWUTWpjox2YJoawTJza2b+qWzvonrC8YnAHOC2ctht7K+Lc4A7M3NPZv6N6mnJ77SWqil1ZbSzs9ZI0mpGM3N3Zv6OqtH0f9bR7jRsGkwDWA/MLttzgall+25gN7AV+Dvwrcx8gSq4m/ucv7mMSU1pNaO9lkXEuoi4NiJGdWy2GokGyuhjwJyIGBMR06hW2k3FOqrOazWjvayjalRZefx24BHg+MzcCtUvT8DkctiJwLN9TuutmdZSNa7NjPaylqoxg8zoQKyjXWi4N5guplpS9ygwkWoVCFRd933A64BpwKKIeD1wsKLoPZpqUqsZhWop8mnAOeV1UWenrBFmoIzeSvVB/UfgO8BaqiXN1lF1WqsZBeuoGhYRE4B7gE9n5qFWIA9UM62lalQNGQVrqRrUQkYHYh3tQsPmS74PJjMfB2YBRMQbgfPLrnnA/Zn5ErAtIn5PtWz+t8BJfS5xErClczPWSHMYGX0qM58r5+6KiJ9SNaNWdHzyGhEGymhm7gU+03tcRKwFngB2YB1VBx1GRrGOqknlQR33ALdn5soy/HxETMnMreW2jd7vqtnMgSvremvmZqylakhNGbWWqjEtZnQg1tEuNKxXMEXE5PLnEcA1VE+ZgeqWo3MjYlREHEP15WGPl6V2uyLi7LLE82PAL4Zg6hohWs1oudVjUjlnLNXTlNZ3fuYaKQbKaEQcXbJJRMwE9mbmRuuoOq3VjFpH1aRS934EbMrMG/vsuheYX7bns78u3gtcGBHjyq2c04E/WEvVlLoyai1VUw4jowdlHe1Ow2YFU0TcAbwPmBQRm4GvABMiYmE5ZCWwrGx/r2yvp1o6tywz/1z2Xc7+Rxn+urykttWR0fLL0qryQT4aeABY2rl3oVezFjM6mSqLLwPPceCyeOuoGlFTRsdhHVVz3kWVtb9ExLoy9iXgG0BGxAKq/0SaC5CZGyIigY1Ut3AuzMx95TxrqZpQS0b9mVQNaimjABHxNHAscGREXADMysyNWEe7zqieHm9TlCRJkiRJ0uEb1rfISZIkSZIkaejZYJIkSZIkSVJbbDBJkiRJkiSpLTaYJEmSJEmS1BYbTJIkSZIkSWqLDSZJkiRJkiS1ZcxQT0CSJGk4i4jbgT2ZeXGfsfcCK4EZmbl1yCYnSZLUIa5gkiRJas+VwHkRMRMgIo4ClgKL6mwuRcTouq4lSZJUt1E9PT1DPQdJkqRhLSLmAt8EZgDXAKdn5gci4ghgMbAAeA3wAHB5Zu4o+xJ4N3AUsK7s21Su+RPg38AbgHOA84EJwPXASWXfDZn57Y69UUmSpAG4gkmSJKlNmfkz4FHgDuAS4NKy67NUjaH3UDWFdgPf7XPqr4DpwAnAeuDH/S49D/gqMBF4GFgGLMjMicBbgQcbeDuSJEktcwWTJElSDSLieOCvwNWZeVMZewL4RGY+WP4+FXgSGJ+ZL/c7fxKwHZiQmbvLCqYX+3230xbgy8BdmbmrE+9LkiRpMPySb0mSpBpk5vMR8Q9gQ5/hk4FfRkTfZlIPMDkitgPXAR8BJgG9x0yiWukE8Gy/f+ZDwNXA9RHxGPCFzHyk3nciSZLUOhtMkiRJzdkMzDtYEygiPg6cB5wLPAMcR7WCaVSfww5Yal6uMzsixgJXAXcC05qZuiRJ0uD5HUySJEnNWQJ8PSJOBoiIyRExu+ybCOwB/gkcDXztUBeKiPERMS8ijs3Ml4BdwL7mpi5JkjR4NpgkSZKacyNwP7A6InYBa4Gzyr5lwJby2lD2vZL5wDMRsZPqyXQX1T5jSZKkw+CXfEuSJEmSJKktrmCSJEmSJElSW2wwSZIkSZIkqS02mCRJkiRJktQWG0ySJEmSJElqiw0mSZIkSZIktcUGkyRJkiRJktpig0mSJEmSJEltscEkSZIkSZKktthgkiRJkiRJUlv+BymQBzZrrROZAAAAAElFTkSuQmCC\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'],ascending=True,axis=0,inplace=True)\n",
"df_least5 = df_can.head()\n",
"df_least5 = df_least5[years].transpose()\n",
"df_least5.plot(kind=\"area\",stacked=False,figsize=(20,10),alpha=0.45)\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",
"\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",
"\\\\ # 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": 23,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"jupyter": {
"outputs_hidden": false
},
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 0, 'Years')"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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zs5+EwwG7mdl4Mzu/hu18BjwSrn8s8Ag7ZkFluodgeM9DFjzdqQ9BkfG5zrl3arIjZnaPBU/uO8DMjjGzBwgys+7JtY5zbhNwATDEgidLnWpmPzKzrmZ2DcHQsNT+vU/wZKXjw4LHj4TzHgz/+wlBDZbfm9nB4b78sSb7EPbJEWQY9DOzfdKKyVfXLcCxZvaX8LP4kZn1N7OJqSCHmU2y4KlQB5rZEQRF7b+sYojbywQFsw8hGLqVmjaGIEunsgywZUDqCVaFZtauhvuUTSczOzrj1ZmgMPwqYKaZDTCzH1rwJLXfmNlp4bqfERyj08ysi5ldRVBHrFw1jtEy4CQLni5YaGbZso0gyJL6iuApiBea2ZHhOXomwbWXChTcBlxpZheEw5guI3jgwf9Xw+OyDOgefu6FVvPi1QDjzCwefufdBhxNeB2FQcp3gWvDfelOcMyLUyvX4Byut+s/i2zH4a8E5+pj4XdEqij1EuCZOm6vQYTDzf4C3G5mQ8LvmjsIgmRV/Z6tIRgSNzY8x3oT/AY1tc9ORKTJUoBJREQgGPoyg6B49dsEhVKnkPY/1tm44BH3ZxH81ff9cJ3/Zccnbl1JcPO9jCAgla2t1QRPF9qXYEjC88CHBE9vaxTh/g0hyOT5P4Ib7+cJ+llV/aT0djzgJwQBpdcJirU/QRV/yQ7rn5xKkHHyLsFN3iKyD2+qyr4EQZ9PgdkEj4bv65x7qYo+PEvw1//vCD7fTwnOlW7AJeEyPkEA4j9h2wsJMs8GprKCwsDDSIJaJv8iOE+uoXbGEwTH/kMwjKXawrpeJwIdgLkEn8EkgrIBG8PFogSf94dsf+La8CqafpMgK+Q951yqnVfCdedn1GLJ7NNrBAWr/0pwfUyoyT7lcAVBYeP016/CGmonEuzbNIKMjycJgiRfhev+H8H5+TeC864rQWAuXVXH6DcET8T6ItynrHWQnHNFBMWPHyJ4Utzb4TavJDge/wgXvZvgqXQ3Enxm44ErnHOPUDO3EwyNej/sV7carg9BUOzysI04cK5zLr1O0BiCLJqFBMfwf4H1GW1UeQ7X8/WfaYfjEJ4bAwnuD14nCJCuB4ZWdv42QVcQPA0vQVB7KY/gt62q37Mygt+zI4APCILjt9P0PjsRkSbLgkC8iIhIRWb2MvCtc67RAjwiIiJ1ZWYLgGXhcE4REdlJVORbREQIhzQdS5CF0RoYTVC4d2hj9ktERKQmzOwYgsLxCwlqHv03wVDL6xuzXyIiLYECTCIiAkFtinHAvQTDIz4FRjjnZjVqr0RERGruFwT10CCo/3aac+6VRuyPiEiLoCFyIiIiIiIiIiJSJyryLSIiIiIiIiIidaIAk4iIiIiIiIiI1ElzrsGksX8iIiIiIiIiIvXPMic05wATK1eubOwuiORUWFjIunXrGrsbIjnpHJWmTueoNHU6R6Wp0zkqTZ3O0aapU6dOWadriJyIiIiIiIiIiNSJAkwiIiIiIiIiIlInCjCJiIiIiIiIiEidNOsaTCIiIiIiIiLSMJxzFBcX4/s+ZjvUgK6x1atXU1JSUg89k5pyzhGJRGjTpk21P0sFmERERERERESkzoqLi2nVqhWxWP2EGmKxGNFotF7akppLJpMUFxeTn59freU1RE5ERERERERE6sz3/XoLLknji8Vi+L5f7eUVYBIRERERERGROquPYXHStNTkM1WASURERERERESavTVr1jBu3DhOOOEE+vbty+jRo/nyyy/rrf0FCxbwzjvv1Ft7uxrlromIiIiIiIhIs+ac48ILL+Sss87i/vvvB+DDDz9k3bp1HHjggfWyjTfffJN27drRvXv3HeYlk8lmP3ywee+diIiIiIiIiLR4b7zxBq1atWLMmDHl04444gicc9x888288sormBm/+MUvOP3001mwYAGTJk1i6tSpAFx//fV07dqVkSNH0rNnT8466yzmzJlDMplk8uTJ5OXlMW3aNKLRKE899RS33HILjz32GHvttRcffvghhx9+OHPnzuW5557je9/7Hr7vc9JJJzFjxgzat2/fWIelXinAJCIiIiIiIiLN2meffcaRRx65w/QXXniBjz76iDlz5lBUVMTQoUPp1atXle21b9+eF198kSlTpjBp0iTuvPNORo8eTbt27bj00ksBeOyxx1i6dCnTp08nGo2y55578vTTT3PxxRfz2muvcdhhhzWb4BKoBpOIiIiIiIiItFBvv/02Z5xxBtFolA4dOtCrVy8WL15c5XpDhgwBoGvXrixfvjzncsOGDSMajQIwcuRInnzySQAef/xx4vF4PexB06EAk4iIiIiIiIg0az/+8Y/54IMPdpjunMu6fCwWqzCvpKSkwvy8vDwAotEonufl3G7btm3L/925c2c6dOjA66+/zj//+U/69etXo31o6hRgEhEREREREZFm7cQTT6S0tJRHHnmkfNq//vUv9tprL5577jk8z2P9+vUsXLiQo48+ms6dO/P5559TUlLCxo0bef3116vcRrt27di8eXOly5xzzjn84he/YPjw4eWZTc2FAkwiIiIiIiIi0qyZGQ899BDz58/nhBNO4JRTTmHChAmcccYZHHrooQwcOJB4PM7111/P3nvvTefOnRk+fDgDBgzgsssu44gjjqhyGwMHDmT27NkMHDiQhQsXZl1m0KBBbNmyhZEjR9b3LjY6y5UO1gy4lStXNnYfRHIqLCxk3bp1jd0NkZx0jkpTp3NUmjqdo9LU6RyV+rZ169YKQ8LqKhaLkUwm6629pmDx4sXcdNNNPPPMM43dlWrJ9pl26tQJwDKX1VPkRERERERERER2sokTJzJ16lQmTpzY2F3ZKTRETkRERERERERkJ7vssst4++236dGjR2N3ZadQgElEREREREREROpEASYREREREREREamTBqnBFI/HfwBMBToCPvBAIpG4J2MZA+4BhgJbgfMTicR74bzB4bwo8FAikbitIfotIiIiIiIiIiJVa6gMpiRwZSKROBToBfw8Ho8flrHMEOCg8HUJcD9APB6PAn8K5x8GnJNlXRERERERERERaSQNEmBKJBLfpLKREonEJuAToHPGYqcDUxOJhEskEm8Be8Xj8X2AHsCSRCKxNJFIlAKPh8uKiIiIiIiIiJT7wQ9+wMCBA+nXrx+XXHIJ27Ztq3T5nj17UlRU1EC9a94aZIhcung8/kPgGGBhxqzOwPK09yvCadmm99yJXRQREREREZEWpGhdkt33jNKqlTV2V5oVf/FC+Lb2wZtkNIrvedsnFLQnclTl4YA2bdowZ84cIHhq29SpUxk7dmyt+yDblZaWsmLFCjp16pR1foMGmOLx+G7AU8D4RCKxMWN2tivZVTI9W/uXEAyvI5FIUFhYWIfeiuxcsVhM56g0aTpHpanTOSpNnc5Raep0jgZKS32++WoD+W1asc8+uzV2d3Zpq1evJhbbHmZIbtwAybLaN5gsqzjsauOGCu3nklrm+OOP5+OPPyYWi3HeeeexcuVKSkpKuOiiixgzZgwAZkY0Gq10mQMOOIBly5YBMGPGDObMmcO9995b+/3aheTl5ZV/T2zatIni4uKcyzZYgCkej7ciCC49kkgkns6yyArgB2nv9wVWAq1zTN9BIpF4AHggfOvWrVtX126L7DSFhYXoHJWmTOeoNHU6R6Wp0zkqTZ3O0UBJsc+mTSVsKzbyd8t98yxVKykpIRqNlr/3PQ98r5I1KheJRPHT1/c8kslkleslk0mSySRz586lb9++JJNJ7rzzTgoKCti2bRunnXYagwcPpn379jjn8MJ2cy2TajPogofv+9XqR3NQUlJS/j2xceNGNmzYkHPZhnqKnAEPA58kEom7ciz2HHBZPB5/nGAI3IZEIvFNPB5fCxwUj8cPAL4GzgbObYh+i4iIiIiISPPm+8GrtDTrQBnZxRQXFzNw4EAgqK90zjnnAPDnP/+ZWbNmAbBy5UqWLVtWHjxKqc4yLZnneXhe7oBhQ2Uw9QZGAx/E4/F/hdOuA/YDSCQSk4AXgKHAEmArcEE4LxmPxy8DXgSiwJ8TicRHDdRvERERERERacZ8z+F8SCYVYGoO0mswpSxYsIDXXnuNGTNmkJ+fz5lnnklJSUm1lzHbXrknc72WxKsig6xBAkyJROJ1stdSSl/GAT/PMe8FggCUiIiIiIiISL3xPPA8h+cpwNRcbdq0iT333JP8/HyWLFnCe++9V6NlOnTowBdffMGBBx7I7NmzadeuXUN2v8lIJpNNIoNJREREREREpMnxfYfvg/Mbuyeys/Tt25dp06YxYMAAfvSjH3HsscfWaJlrr72W8847j06dOnHwwQezZcuWhux+k5GqP5WLAkwiIiIiIiLSYvleGGRSAlP9K2gP3xbVfv1oNEgxS2+vCl988cUO0/Ly8vjb3/6WdfmFCxeW/zvXMsOGDWPYsGFVbru5qyx7CRRgEhERERERkRbM94MaTL6GyNW7yFE967R+LBZrMU9r2xUkk8lKM5giDdgXERERERERkSbF88B3KINJpApVZTApwCQiIiIiIiItlu87cA7nOzxPhZhEclGASURERERERCQH3wPnwGFoNJZIbgowiYiIiIiIiOTgeQ7nAOdIlmqcnEguVdXDUoBJREREREREWizfB7Pg38mkAkwi2TjnlMEkIiIiIiIikovvQyRi4CBZpgDTruzGG2/kwQcfLH9/7rnnctVVV5W//93vfsfkyZNr3O6DDz7Itm3b6qWPmXzf54YbbqBfv37079+foUOH8tVXX1W6Ts+ePSkqKtop/cnF932cq/z6iDVQX0RERERERESaFN93+L4LMpgMSjVErl4tXLGJb7fVvrBVJBLF97dnzRTkx+i57+45l+/WrRvPP/88F198Mb7vU1RUxKZNm8rnL1q0iN/97nc17sdDDz3ET3/6U/Lz86u9jud5RKPRKpd77rnnWLVqFXPnziUSibBy5Uratm1b4z5WVzKZJBareSgomUzi+z6WSvfLQgEmERERERERaZF8PyjwbRHDDMpK9RS5+vTttiTFydof00jE8P3t61cVrOrevTs33XQTAJ999hkHH3wwa9as4bvvviM/P58lS5ZwxBFHAHD//fczY8YMSktLGTx4MFdddRVbt25l7NixfPPNN/i+zy9/+UvWrVvH6tWrOeussygoKODJJ5/k1Vdf5c4776S0tJT999+fu+++m3bt2tGzZ0/OPvtsXn31VS644AKmTZvGMcccw4IFC9iwYQMTJkygZ8+eFfq8evVqvv/97xOJBAPMOnXqVD7v17/+NYsXL6a4uJjTTjutQjbWn//8Z+bMmUMymWTy5Ml06dKFf/7zn9x4440UFxfTpk0b7rrrLrp06cL06dOZN28eJSUlbN26lSlTpnDBBRewYcMGkskkV199Naeeemqlx9bzPJxzCjCJiIiIiIiIZPLDAt+RiMOAsrLG7pHURceOHYnFYnz99dcsWrSI4447jlWrVvHuu++yxx57cOihh9K6dWteffVVli1bxsyZM3HOcf755/PWW2+xfv16OnbsyLRp0wDYuHEje+yxBw888ABPPPEE7du3p6ioiHvuuYfp06fTtm1b/vSnP/HAAw9wxRVXAJCXl8ff//53AKZNm0YymWTmzJnMmzePu+66i+nTp1fo8/DhwxkxYgQLFy7kxBNP5Kc//Wl5EOyaa66hoKAAz/MYOXIkH3/8MYcddhgA7du358UXX2TKlClMmjSJO++8ky5duvD0008Ti8WYP38+t99+e/mQwXfffZe5c+dSUFBAMpnk4YcfZvfdd6eoqIjhw4czaNCgSoNHnufh+355ICwbBZhERERERESkRfJ9cH6QlWERUw2mZqB79+4sWrSIRYsWcckll7Bq1SoWLVrEHnvsQbdu3QB49dVXefXVVxk0aBAAW7duZdmyZfTo0YObb76ZP/zhDwwYMGCHbCMIAjWff/45p59+OgBlZWUcd9xx5fN/8pOfVFh+6NChAHTt2pUVK1bs0F6nTp2YP38+b7zxBm+88QYjR45k0qRJnHTSScyYMYNHHnkEz/NYvXo1X3zxRXmAaciQIeXtzpo1CwgCYuPHj2fZsmWYGWVpEdOTTz6ZgoICICjYfdttt3Ky/EcAACAASURBVLFw4ULMjFWrVrF27Vr23nvvnMfV8zw8z1MGk4iIiIiIiEgmz3PlT5GLRKCKh2TJLqBbt24sWrSITz/9lEMOOYROnToxefJkdt99d0aOHAkEAZbLLruM0aNH77D+rFmzePnll7n11lvp06dPeWZSinOOk08+mfvuuy/r9jPrJ7Vu3RqAaDRKMpl9iF9eXh79+vWjX79+dOjQgRdffJH999+fyZMnM3PmTPbaay/Gjx9PcXFxhXVS7aae7nbHHXdwwgkn8PDDD7N8+XLOPPPMrP16+umnWb9+PbNmzaJVq1b07NmTkpKS7Ac0lAowVVa/SU+RExERERERkRbJ94NC35EomBm+pwymXV23bt2YO3cue+21F9FolIKCAjZu3Mi7775bnsHUt29fpk+fzpYtWwD45ptvWLduHatWrSI/P5+f/vSnXHrppXzwwQcA7LbbbmzevBmA4447jnfeeYdly5YBsG3bNr788sta9/eDDz5g1apVQPCkto8//ph9992XTZs2kZ+fzx577MHatWt55ZVXqmxr06ZNdOzYEYBEIlHpcoWFhbRq1Yo33ngja2ZVpmQyied5GiInIiIiIiIiksn3HL4HrVoHWUyeAky7vEMPPZSioiLOOOOM8mmHHHIIW7ZsoX379gD06dOHL774onw4W9u2bfm///s//v3vf3PLLbdgZrRq1Ypbb70VgFGjRvGzn/2MvffemyeffJK7776bn//855SWlgJw9dVXc+CBB9aqv+vWreNXv/pVeVtHH300559/Pm3atOGII47glFNOYb/99qN79+5VtjVu3DjGjx/PAw88QO/evXMu91//9V+cd955DBkyhMMPP5wuXbpU2XYqg6lNmzY5lzHnmu0F5FauXNnYfRDJqbCwkHXr1jV2N0Ry0jkqTZ3OUWnqdI5KU6dzFL5dl+SrZaW0bQebNzkccGzPdo3drV3W1q1bKwzFWrhiU5VPfqtMJBLF97ePWyzIj9Fz393r1EepmdRnunz5cj777DN23313RowYAbBDMSZlMImIiIiIiEiL5PkO5xyRSJSIeZSpyHe9qmswKBaL5axbJA2rqgLfoBpMIiIiIiIi0kL5HuU3zRYJajKJyI6qE+hTgElERERERERapPSAkpnhhxlNIlKRV41HLCrAJCIiIiIiIi1SUNQ7CCiZgXOQTCrAJJJJASYRERERERGRHHyPILIEpJ6+nixtvP6INFXJZFI1mERERERERESy8X0XpC1RHmeiLKlCTCKZPM+rcvioAkwiIiIiIiLSIgUZTMG/LWI4IFnWmD2SuurcuTOXX355+ftkMsmRRx7JmDFj6qX9gw46qEbLT58+neuvvx6ACRMmMGnSpB2WyTU9Wxt1VdW2svF9H78aFfBjte2UiIiIiIiIyK7KORdmMAXvzYJYU1mJMpjqy6qvyyjeVvvjGYmW4Xvb12+TH6Fj51aVrtO2bVs+++wztm3bRn5+PvPnz6djx4412m4ymSQWU7gkJZlM4pyrcoicjpiIiIiIiIi0OL5XPjoOgIgFQaayMhX5ri/F23y8OhRNd87he9vXr26w6pRTTmHevHkMGzaMv//975xxxhksXLgQgH/+85/ceOONFBcX06ZNG+666y66dOnC9OnTmTdvHiUlJWzdupWJEycybtw4Nm3ahOd53HrrrfTs2ROA2267jblz59KmTRv+8pe/0KFDB1566SXuvfdeSktLKSgoYOLEiXTo0KHG+/zwww8zbdo0YrEYBx10EPfff3+F+bm2M2HCBL7++mu++uorvv76ay666CIuvPBCAO655x6efPJJOnXqxPe+9z26du1arW2leJ6H7/sKMImIiIiIiIhk8n2Hc9trL1lYQKasVAGmXd3pp5/O3XffzYABA/jkk084++yzywNMXbp04emnnyYWizF//nxuv/12HnzwQQDeffdd5s6dS0FBAZMmTaJPnz788pe/xPM8tm3bBsDWrVs59thj+fWvf80tt9zCI488wvjx4+nRowczZszAzHj00Ue57777uPHGG2vc9z/96U+8+eab5OXlsWHDhh3mV7adJUuW8MQTT7BlyxZOOukkxowZwyeffMJzzz3HSy+9RDKZZPDgweUBpqq2lZIKMEUilVdZUoBJREREREREWhzPC4JMqawMMyOiDKZm4bDDDmPFihU8++yz9OvXr8K8jRs3Mn78eJYtW4aZUVa2vejWySefTEFBAQBHH300V155JclkklNPPZUjjjgCgNatWzNw4EAAjjzySF577TUAvvnmG8aNG8eaNWsoLS1lv/32q1XfDz30UC677DIGDx7M4MGDd5hf2Xb69+9PXl4eeXl5FBYWsnbtWhYuXMjgwYPJz88HKO97dbaVUt0MJhX5FhERERERkRbH98Mhcmn3zBaxoPC37PIGDRrE73//e84444wK0++44w5OOOEEXn75ZaZMmUJJSUn5vLZt25b/u1evXjz11FN07NiRX/7ylzzxxBMAxGKx8kBLNBolmUwCcMMNN3DBBRcwb948br/99grt1sTUqVM5//zzef/99xk8eHB5+ymVbScvL6/839FoFM8LTuZcgaGqtpWSTCbxPI9oNFpp3xVgEhERERERkRbH94L6PtG0e+9IBDxPGUzNwciRI7niiis49NBDK0zftGlTedHvRCKRc/0VK1ZQWFjIqFGjOPvss/nggw8q3d7GjRvL200Fo2rK931WrlxJ7969+c1vfsPGjRvZsmVLnbbTq1cvZs+ezbZt29i8eTNz5syp9rZSPM+rVoBJQ+RERERERESkxfF98HxolXZXbGZ4ymBqFjp16sRFF120w/Rx48Yxfvx4HnjgAXr37p1z/QULFjBp0iRisRjt2rXjnnvuqXR7V155JWPHjqVjx44ce+yxLF++vMZ99jyPyy+/nE2bNuGc4+KLL2bPPfes03aOPPJIhg8fzqBBg9h3333LC5VXZ1vp/Uomk0SjUXw/d6F1c67ZRmfdypUrG7sPIjkVFhaybt26xu6GSE46R6Wp0zkqTZ3OUWnqWvo5+u36JF8tLSW/LUSjweCejd95YHBMz3aN3Ltd09atWysMM1v1dVm1n/yWTSQawfe2r98mP0LHzq3q1Eepma1bt1JUVMSnn35K+/btKSsrY8SIEVBhcGlAGUwiIiIiIiLS4gQ1mFyFJ2OZhsjVq7oGg2KxWM66QNJwqvsZqAaTiIiIiIiItDi+5zAqFkA2Q0PkRDJ4nlflE+RAASYRERERERFpgTwPXMYon4gZznM041IyIjXmVTPqqgCTiIiIiIiItDi+7zCrGEiyCDgHXlIBJpEUZTCJiIiIiIiI5OB7kFmn2AwcUKayPyLlPM+rVlafAkwiIiIiIiLS4vi+w9gxgwkgWVb7J5+JNDcq8i0iIiIiIiKSQ1CDqaJIOAzIUwbTLqtz58787ne/K38/adIkJkyYUK/b+PLLLxk9ejS9e/emT58+jB07lrVr1+Zcfvny5fTr169G2xg/fjzPP/98rfr30ksvMXHixFqtm8k5h+9XL+Aaq5ctioiIiIiIiOxCfH/HIT+pMjOlparBVB+WLl3Kli1bar1+NBqtUGC6Xbt2/OhHP6p0nby8PGbNmsXll19O+/bta73tXIqLixkzZgw33ngjgwYNAuCNN95g/fr1dOjQod63VxuDBg0q71tdpQJMqsEkIiIiIiIiksH3HM7PrMAUDJEzoKxUQ+Tqw5YtWygrK6v1q7S0tML76gSrotEoo0aN4oEHHthh3vr167n44osZOnQoQ4cO5Z133gGgf//+bNiwAecchx9+OE888QQAl19+OfPnz6/Qxt///neOO+64CgGc3r17c8ghh7B8+XJGjBjBqaeeyqmnnlrefjrP87j55psZOnQoAwYMYNq0aUAQyLn++uvp27cvo0ePZv369eXrvPbaawwaNIj+/fvzP//zP5SUlADQs2dP7rzzTk499VT69+/PkiVLAJg+fTrXX389EGQzDRs2jEGDBjFy5MhKM62ycS54qmIkUnX4SAEmERERERERaVE8P3haXGaEySyYVlaiDKZd2fnnn88zzzzDxo0bK0z/7W9/y8UXX8wLL7zAgw8+yFVXXQVAt27deOedd/jss8/Yf//9efvttwF47733OO644yq08emnn9K1a9es2y0sLOSxxx7jxRdf5P777+e3v/3tDss89thj7L777rzwwgvMnDmTRx99lK+++opZs2bx5ZdfMm/ePO644w4WLVoEBBlTV1xxBffffz/z5s0jmUwyderU8vbat2/Piy++yOjRo5k0adIO2+vRowczZszgpZde4vTTT+e+++6rwZEE3/erXeRbQ+RERERERESkRQkymLIPkTODZFIBpl3Z7rvvzplnnsnDDz9Mfn5++fTXXnuNzz//vPz95s2b2bx5Mz179mThwoWsWLGCMWPG8Le//Y1vvvmGgoIC2rVrV+3tlpWVcf311/Pxxx8TiURYunTpDsu8+uqrfPLJJ8ycOROATZs2sWzZMt566y3OOOMMotEoHTt2pHfv3kBQ72m//fbjwAMPBOCss87ir3/9KxdffDEAQ4YMAaBr167MmjVrh+198803jBs3jjVr1lBaWsp+++1X7f2B7RlM1RkipwCTiIiIiIiItCi+D74Di1S8aTYzIhGjmg/NkibsoosuYvDgwYwcObJ8mu/7PPfccxWCThAMNZsyZQr77rsv11xzDbNmzWLmzJn06NFjh3YPPvhg3nzzzazbfPDBB+nQoQNz5szB9/2c9aJuueUW+vbtW2HavHnzsgZxqsocysvLA3asV5Vyww03cMkllzBo0CAWLFjAXXfdVWl72bbveR7RaLTKZTVETkRERERERFoUz3P4/vai3unMgifMya6toKCA4cOH89hjj5VP69OnD1OmTCl//+GHHwLBk+eKiopYtmwZ+++/Pz169GDSpEn07Nlzh3bPOOMM3n33XebOnVs+7ZVXXuGTTz5h48aN7L333kQiEZ566qmsAZ8+ffowdepUysrKgCBDaevWrfTq1Ytnn30Wz/NYvXo1CxYsAKBLly4sX76cZcuWAfDUU0/Rq1evah+HjRs30rFjR4Dy2lI14ZwjmUwSi1Wdn6QAk4iIiIiIiLQovhcMk4tmuSO2iOF5GiLXHIwdO5aioqLy9zfffDOLFy9mwIAB9O3bt7zANsAxxxxTnnHUo0cPVq1aRffu3XdoMz8/n7/+9a/85S9/oXfv3vTt25dEIkFhYSHnnXceTz75JMOGDWPp0qW0bdt2h/XPPfdcDjroIAYPHky/fv245pprSCaTDBkyhAMOOID+/ftz7bXXlgeR2rRpw1133cXYsWPp378/kUiE0aNHV/sYXHnllYwdO5YRI0bU6ql6qQym6gSYrDqFmnZRbuXKlY3dB5GcCgsLWbduXWN3QyQnnaPS1OkclaZO56g0dS35HP2uKMlXS0vJawOxWMUo08bvPCwCR/eofu0dCWzdurVCUGXp0qXVevJbLpnDvtq1a5dz2JnsHGvXrmXx4sUUFBRgZpSVlTFixAjY8SGMqsEkIiIiIiIiLYvvge87IpEdx8iZBfOk7uoaDIrFYiRVEKtRpZKSqlPkW0PkREREREREpEXxwgBSJLLjLbFFwFNMQwSg2k+QAwWYREREREREpIXxvdwZGWaG7zdwh0SaqJqUVVKASURERERERFqUYAhc9htns1RhY0WZRBRgEhEREREREcnB9yBLjWIAIhFwzlDpHxHwfV9D5ERERERERESy8bzKM5jAkSxVoW8RZTCJiIiIiIiI5FBZjSUL75KTSQWYdkX33HMPp5xyCgMGDGDgwIG89957dW5z+fLldO7cmT/+8Y/l04qKith///25/vrra9TW4sWLueGGG+rcp4bgnCt/VUdsJ/dHREREREREpEnxPUfOIXJm4CBZpgBTXbXe/DGR5KZarx+NRoil1cLyY7tTutthOZdftGgRc+fOZfbs2eTl5VFUVERpaWmtt59u//33Z+7cuVx99dUAzJgxgx//+Mc1aiOZTHLUUUdx1FFH1UufGkp1h8gpwCQiIiIiIiIthu87fAeusiFyBiUlCjDVVSS5CXO1D/CYH8Hc9gBTVcGqNWvW0L59e/Ly8gBo3759+by7776bOXPmUFxcTLdu3bj99tsxM84880yOOeYYFixYwIYNG5gwYQI9e/bcoe02bdpw0EEHsXjxYo466ihmzJjB8OHDWb16NQAvvfQS9957L6WlpRQUFDBx4kQ6dOjAhAkTWL16NcuXL6d9+/aMGjWKSZMmMXXqVCZMmMDXX3/NV199xddff81FF13EhRdeCMDkyZOZPn06AOeccw4XX3xxrY9jbaWyl5pUgCkej/8ZGAasSSQSR2SZ/ytgVFqfDgU6JBKJong8/m9gE+AByUQi0a0h+iwiIiIiIiLNj++Bc2GmUhYWCYJMyTI9RW5X06dPH+6++25OPPFETjrpJH7yk59w/PHHA3D++edzxRVXAHD55ZczZ84cBg0aBASZRTNnzmTevHncdddd5YGdTKeffjrPPvssHTp0IBKJ8P3vf788wNSjRw9mzJiBmfHoo49y3333ceONNwLw/vvv88wzz5Cfn8+CBQsqtLlkyRKeeOIJtmzZwkknncSYMWP45JNPSCQSPP/88zjnGDZsGMcffzxHHLFDOGWnqkn9JWi4DKYpwERgaraZiUTiDuAOgHg8Phy4IpFIFKUtckoikVi3szspIiIiIiIizZvvO5wPZrkzmMygnkZWSQNq164ds2fPZuHChSxYsIBx48Zx7bXXMnLkSBYsWMD999/Ptm3b+O677zj44IPLA0xDhw4FoGvXrqxYsSJn+3379uWPf/wjHTp04Cc/+UmFed988w3jxo1jzZo1lJaWst9++5XPGzRoEPn5+Vnb7N+/P3l5eeTl5VFYWMjatWt5++23GTx4MG3btgVgyJAhLFy4sMEDTNAEnyKXSCTmA0VVLhg4B3hsJ3ZHREREREREWijPS2Vm5MhgMsPM8FTke5cUjUY54YQTuOqqq7jlllt44YUXKC4u5rrrrmPy5MnMmzePc889l5KSkvJ1WrduXb5uMpnM2Xbr1q3p2rUrkydPLg9Kpdxwww1ccMEFzJs3j9tvv71C+6lAUTap4Xyp7XueV+PMoZ0l1Y9oNFqt5ZvUU+Ti8XhbYDDwVNpkB7wUj8ffjcfjlzROz0RERERERKQ58H2H74e1lnKIRIJAlOxalixZwtKlS8vff/TRR+y7777lwZ727duzZcsWZs6cWettjB07luuuu65CfSeAjRs30rFjRwCeeOKJWrcP0KtXL1588UW2bdvG1q1bmT17dta6UDtbqgZTdQNMTa3I93DgjYzhcb0TicTKeDy+NzAnHo9/GmZE7SAMQF0CkEgkKCws3Pk9FqmlWCymc1SaNJ2j0tTpHJWmTueoNHUt9RyNRUrJa70BawP5+dlvibdtKaF162iLPD51sXr1amKx7cc0Go1gft3yWqKR7eu7SKRC+5lKSkq47rrr2LhxI9FolAMOOIA777yT733ve/zsZz9jwIAB/OAHP+CYY44hErZlZkSjUWKxGNFoFDPbYRupAEssFuPwww/n8MMPL5+eaudXv/oVY8eOZZ999uG4445jxYoVxGIxIpFI+TKpdVLbyJyXmn/MMcdw9tlnc9pppwEwatQojj766Dodx9pIDY/bY489aNWqFUClT+Wzhkq9isfjPwSez1bkO22ZZ4AnEonEoznm3wRsTiQSd1Zjk27lypW16apIgygsLGTdOpUWk6ZL56g0dTpHpanTOSpNXUs9Rzd8m+SrpaW0ag2tWmUPfmz41iMag6O6t2vg3u3atm7dWmE4WOvNH1f55LfKRKMRPG97sXU/tjulux1Wpz5K9ZWWlrJ8+XK+++678jpMZWVljBgxArKMMW0yGUzxeHxPoA/ws7Rp7YBIIpHYFP57EPD7RuqiiIiIiIiI7OI8L3i1qWTUTyQCnh4iV2d1DQbFYrFKayJJw6huke8GCTDF4/HHgL5AYTweXwHcCLQCSCQSk8LFRgAvJRKJLWmrfh94Jh6Pp/r6aCKRmN0QfRYREREREZHmx/cd4IhEckeYzMAvaxqFlkUaS01HvDVIgCmRSJxTjWWmAFMypi0Fjto5vRIREREREZGWxvfAcjxBLsWUwSRS4wBTk3qKnIiIiIiIiMjO5PtkqR5TkZnhfNdkHhe/q9Dxan5q8pkqwCQiIiIiIiIthucFQ+QqYwbOQTKpgElNRCIR1UxqRsrKyti2bVu1l28yRb5FREREREREdjbfg6pSmCJhKkayFMKns0s1tGnThuLiYkpKSqpdGLoyeXl5lJSU1EPPpKacc6xdu5Y1a9ZQUFBQrXUUYBIREREREZEWI1XkuzKp2EhZ0idfA3+qzczIz8+vt/YKCwtZt25dvbUnNbNhw4YaLa8rRURERERERFoMz6t6GYsEEaZk2U7ujEgT5Xkevl+zSvcKMImIiIiIiEiL4JzD+VXXVUplMJWW6FFy0jJ5nodzjkik+mEjBZhERERERESkRfC9oHh3VSIWBJnKylTkW1qmVAZTTWppKcAkIiIiIiIiLYLnO5wDq+JOODW/rFQBJmmZksmkhsiJiIiIiIiIZON7QZFvq+IpcmZGxCCpDCZpoVIZTBoiJyIiIiIiIpLBT2UwVWPUj0WsWgXBRZojz/NIJpNEo9Fqr6MAk4iIiIiIiLQIvge+54hUI8AUiYCXVAaTtEye5+F5ngJMIiIiIiIiIpk8DzwfIrGqlzUzaliCRqTZUIBJREREREREJAffd/hekJ1UFTPwPGUwScuUTCYBFGASERERERERyeR74JwjUo0xchYJhtOJtEReLQqQKcAkIiIiIiIiLYLvBwEjq0aVb7NgOJ1IS6QAk4iIiIiIiEgOnkf1HiEHRCKG7zmcUxaTtDye51UrEJtOASYRERERERFpEXzfYVQvYGQGOD1JTlomBZhEREREREREcvA9gOrdNJuBA8qSO7NHIk1Tqsh3TSjAJCIiIiIiIi1C8FS4amYwhXfLyTIVYpKWx/O8Gg8PVYBJREREREREWgS/BrGiSJjClCzbef0RaYp838evycUSUoBJREREREREmj3nHL5X/YwMiwAGZWWqwSQti+d5+L6vGkwiIiIiIiIimXwfnKtuBaagBpMBZSUaIictiwJMIiIiIiIiIjmkAkzVjTBFLFi2rFQZTNKyKMAkIiIiIiIikoPvOZzvgtSkarCIYRoiJy1QqsC3AkwiIiIiIiIiGTwPfAdWzafIAUQihlfzp7WL7NKSySSe5xGNRmu0ngJMIiIiIiIi0uz5vsP3g8yk6jIDTyWYpIXxPI9kMqkAk4iIiIiIiEgm3wuGyUVrcBdsEcOrwZPnRJoDz/PwPI9YLFaj9RRgEhERERERkWYvlcFUk6SMiAVBKZGWJJlM4vs+kUjNQkYKMImIiIiIiEiz53lBkCkSrcEQuUiwjkhL4nkeZqYi3yIiIiIiIiKZUoGimtw0m6Ei39LipAJMNaUAk4iIiIiIiDR7vgdGzW6azQxfRb6lhfE8r1brKcAkIiIiIiIizZ7nObCaDXeLRMB3Dk+PkpMWJJmsXdqeAkwiIiIiIiLS7AWZSDXNYAKcUcv7bZFdkobIiYiIiIiIiOTg1yKDKbjHdiRLlcEkLYfneThX8+L2CjCJiIiIiIhIs+f7QA3vmS0SZHEog0laCuecMphEREREREREcglqMNXwsesGOCgtrXk2h8iuqLbZS6AAk4iIiIiIiDRzvu9wDqjhjbNFAIMyBZikhfA8D9/3lcEkIiIiIiIiksn3gthSTW+azYJXWZlqMEnLoACTiIiIiIiISA6e73C+w2pR5NsMykp3UsdEmhgFmERERERERERySGUwQU0zmIyIGV5SQ+SkZUgmk3ieRyRS83CRAkwiIiIiIiLSrPm+w/fDmko1ZBHw9BQ5aSE8z8PzPGKxWI3XVYBJREREREREmjXfA99z1CIpAzPD85XBJC1DKsCkDCYRERERERGRDJ7n8HyI1jKDyfcUYJKWQRlMIiIiIiIiIjn4fpDFFInWfN2IgefVf59EmqJkMomZqci3iIiIiIiISKYgA8nVatiPmTKYpOXwPK9WwSVQgElERERERESaOc+Hmj5BLsUiqfVFmj+vDul6CjCJiIiIiIhIs+Z7rrbxJcwM5zucCn1LC5BM1v6RiQowiYiIiIiISLPm+2DULkBkBjhIlinAJM2fMphEREREREREcvA9qG0KUyQCDihNKsAkzZ9qMImIiIiIiIjk4IVFvmsjda/tKYNJWgDP83Cudue6AkwiIiIiIiLSrPl+bcNLYJEgwlSH0jQiuwTP8/B9XxlMIiIiIiIiIpmcCwp01/KemTC+RGmJHiUnzVsqe0kBJhEREREREZEMngfOgdUyhckseJWWaoicNG+pDKbaUoBJREREREREmi3fc/iO2tb4xsK7Zj1FTpq7ZDKpIXIiIiIiIiIi2fg+4RC52t00mxmRiAJM0vylMpgikdqFihRgEhERERERkWbL910wRK6WGUwQBJk8r/76JNIUeZ5HMpkkGo3Wav1YPfcnq3g8/mdgGLAmkUgckWV+X+BZYFk46elEIvH7cN5g4B4gCjyUSCRua4g+i4iIiIiIyK7P88DzHLVMygAgEgEvqQwmad48z8PzPPLy8mq1foMEmIApwERgaiXLvJZIJIalT4jH41HgT8BAYAXwTjwefy6RSHy8szoqIiIiIiIizYfvBa9WrWvfhplRh9rHIruEVICpthlMDTJELpFIzAeKarFqD2BJIpFYmkgkSoHHgdPrtXMiIiIiIiLSbPm+w/epUwaTRSDpKYNJmrdkMglQ6xpMDZXBVB3Hx+PxxcBK4KpEIvER0BlYnrbMCqBnY3ROREREREREdj2eDhL6QgAAIABJREFUB865Wt80Q1C/SUPkpLnz6lhorKkEmN4D9k8kEpvj8fhQ4O/AQWR/kGTOqzoej18C/P/s3XuQJGta3/fv+2ZWd8/MOWcvZ3b3sOyFXW5CgcCS8CIbvIBtkEDC+gMpzW0JELAGsSIcoZAIWzY4NkLYITuQMRcRgFYsyFxSITDYrARYGO8ijC2kEA6QxSKxV/bsnDPnnJmerurKzPd9Xv+RVT09PV3dWdVZl676fSI6ZrqqO/Od6ayuzCefy9sByrLk9u3by1irSC/yPNcxKhtNx6hsOh2jsul0jMqm25VjtBqNODh4wBNPLF4jF0PD8TDsxP/XJtmVY3RTPPfcc9y4cYNbt27N/Jq6rmc+txEBprIsD0/9/T1FUfxgURS3aTOWXn/qS19Hm+E0azs/DPzw5NN09+7dZSxXpBe3b99Gx6hsMh2jsul0jMqm0zEqm25XjtGXXmoYjxuGw2bhbVSVcTyOPP/887irjKOTuezKMbop7t27x3g8Zjgczvyappn9OtqIAFNRFM8Ad8qyTEVRvIW2N9QLwD3gU4uieBPwh8BXAl+9vpWKiIiIiIjIdWKWcO5q5W3OQUoQQmIwUIBJttO0B9OiVhJgKorip4AvBG4XRfFR4LuAAUBZlj8E/AXgW4uiCMAx8JVlWSYgFEXxDuCXgAx416Q3k4iIiIiIiMil2rYyVwsKuUn7phBgMLjykkQ2UozxShl6KwkwlWX5VZc8//3A98947j3Ae5axLhEREREREdluFhMXtPLtxE+uuUNtcGMlw9hFVi7GSEqLv1b0yhAREREREZGtZXb1bTjnILUZTCLbyMyuPEVOASYRERERERHZSimlSQbT1TgPOGjqq29LZBNNs5euUiKnAJOIiIiIiIhsJbO2OfdVOdd2cWqqHtKhRDZQjBEzU4BJRERERERE5CyLbYDpCtfMwKQHk4O6UQaTbKcQggJMIiIiIiIiIucxSyS7WtkPgPMO5yAowCRbShlMIiIiIiIiIjPECJbgqlPkALx3RDX5li0VYyTGSJ7nC29DASYRERERERHZSmYJszY4dFXOtQErkW00DTB5v3iYSAEmERERERER2UoWwWIi6+HK13tH7GEincgmCiEog0lERERERETkPBYT0cAvfs18os1gUoBJtlOMkZQSWZYtvA0FmERERERERGQrRYNkqZ8SOd9uS2QbxR7qPxVgEhERERERka1kk4yjq06Ra7cBQT2YZEvFGK/8OlGASURERERERLaSGTiuHlyCNkilDCbZViFcfUSiAkwiIiIiIiKylWJM4PoJCnkPKUGM1sv2RDaJSuREREREREREZrAI9JbBBCk5Qt3L5kQ2igJMIiIiIiIiIjOYJaCfDCbnARIhKINJto8CTCIiIiIiIiIzWI9NuacNkJumv22KbIKUkpp8i4iIiIiIiMwSe2zK7SfX3k2jRt+yXWKMmF09M08BJhEREREREdk6ZonUYyzITa6e61olcrJdYoykHl4sCjCJiIiIiIjI1rEIybhy2c+Uc+1HqJXBJNtlmsHk/dVCRAowiYiIiIiIyNaJliZZGT01+Z4EmNSDSbZNCAEzUw8mERERERERkbMsgvWaweTw3hGCMphku8QYiTEqg0lERERERETkrGkPJtfjVa9zEEN/2xPZBNMAU57nV9qOAkwiIiIiIiKydSxCjIkrJmU8wjmHRWUwyXZRBpOIiIiIiIjIDDEmLELWZ4DJt5lRItskhKAMJhEREREREZHzmLUfPutvm95BjP1tT2QTxBhxzqnJt4iIiIiIiMhZbSlbunLZz2nOoRI52TrTANNVKcAkIiIiIiIiWycaQD8T5Kacd5PtimwPBZhEREREREREZrCYwPWbbeQcJEuYokyyRUIIpHT114oCTCIiIiIiIrJ1zPrOXwLvISUIoecNi6xR7KmxmAJMIiIiIiIisnXaXkk9l8hNNtcE9WGS7aESOREREREREZEZ2qSM/kvkAEKtAJNsD5XIiYiIiIiIiMxgS2ryTYKgDCbZEjFGUkrKYBIRERERERE5K1kiWf9Nvr0DHNSVAkyyHfrKXgIFmERERERERGTLRGubcfefwdSWyTWNAkyyHWKMmBneXz08pACTiIiIiIiIbBWLCUvge85gcq4NWTXqwSRbYhpg6oMCTCIiIiIiIrJVzNoyuf6nyDmcdwRlMMmWiDESY1QGk4iIiIiIiMhZFhNmfYeXWt5PG4iLXH/TAFOWZVfelgJMIiIiIiIislWigVnCX/2a+THOQdQUOdkS0wBTnudX3pYCTCIiIiIiIrJVLCYssqQAk8OiAkyyHUIIhBCUwSQiIiIiIiJylln7kS3hitd5CCqRky0RY8Q5px5MIiIiIiIiImfFCCkl/BIiTM6hDCbZGtMAUx8UYBIREREREZGtYjEtp8M3kybfcTnbFlm1GPs7mBVgEhERERERka1iBqTlRJicc5glUlIWk1x/IYT1ZjAVRXGjKIq9XlYgIiIiIiIi0iOLCeeWEwByDhIQNElOtkCMsbdgaacAU1EU/0NRFG+Z/P3PAi8C94qi+PJeViEiIiIiIiLSk2i0kaAlcB5IEOqlbF5kpdbRg+lrgN+Z/P07ga8F/hPgu3tZhYiIiIiIiEhPLCZYUgmbn1yLB42Sky3QZwZT3vHrbpZlOSqK4mngzWVZ/kOAoije2MsqRERERERERHpixtKafDvnSAmaZjnbF1kVM+u1yXfXANP7i6L4GuBTgF8BKIriNnDc20pEREREREREriilNMlgWs72nW+r70KjHkxyvU2zl/oqkesaYPrLwPcCNfCNk8f+NPDLvaxCREREREREpAdmS6uOA9rgknNQVyqRk+stxoiZrTzA9JGyLP/90w+UZfk/F0XxT3pZhYiIiIiIiEgPLCZSWlqPb/ykk3GjDCa55kIImBned23PfbGuW3n/jMf/VS+rEBEREREREemBGSTrr+znLOcczkFTK8Ak19s0g6kvXQNMj70yi6J4ClBOoIiIiIiIiGyMGMESS2vyDeC9w/rrjSyyFjFGYozkedfitotduJWiKD5C2xrtRlEUHz7z9NPAT/WyChEREREREZEemCXMIFtigMm5NpAlcp2FEIgxMhgMetneZWGqr6WN+74HeNupxxNwpyzL3+tlFSIiIiIiIiI9sAgxJgb9JGWcy3tHjCqRk+ttmsGUZVkv27vwJVeW5f8JUBTF7bIsR73sUURERERERGRJLLYZTL6fa+ZztRlMCjDJ9RZjJKW0mgDTKaEoircD/w7wxOknyrL8usu+uSiKdwF/DniuLMvPPOf5rwG+Y/LpEfCtZVn+9uS5DwIPgAiEsiw/p+OaRUREREREZMfESZPvviZjncd5BZjk+os913l2DTD9OPBZwP8K3FlgPz8GfP9kO+f5APAFZVm+VBTFlwI/DHzuqee/qCzLuwvsV0RERERERHaITQI/y5oi125bPZjk+gsh9Po66Rpg+tPAm8qyvLfITsqyfG9RFJ90wfO/cerT3wRet8h+REREREREZLeZgVvmCDnAO0eKGqou11uMsdcAU9ecwQ8D+73t9WLfCPyjU58n4JeLovjnkzI9ERERERERkXPFmMAtt3zN+fZCNQYFmeT6mvZg6ss8JXI/XxTF93KmRK4sy1/tazFFUXwRbYDp8089/HllWX6sKIpXA79SFMW/LsvyvTO+/+3A2yfr4vbt230tTaR3eZ7rGJWNpmNUNp2OUdl0OkZl023rMXr/hQc8OBhx69be0vbhCFTjmiefeiU3by5xXN2O29ZjdFPcuHGDg4MDbt261fl76rqe+VzXV8I7Jn9+95nHE/Dmziu5QFEUnwX8KPClZVm+MH28LMuPTf58riiKnwPeApwbYCrL8odp+zcBpLt31bZJNtft27fRMSqbTMeobDodo7LpdIzKptvWY/T+/YpqHBgOm6Xto6qMuo48d+cuTzypANOybOsxuinu37/PeDxmOBx2/p6mmf266vRKKMvyTZ33toCiKN4A/CzwtrIs33/q8VuAL8vyweTvXwK8c5lrERERERERkevLYpsJsUx+0rcmLC+GJbJUKaXeezCtJNRaFMVPAV8I3C6K4qPAdwEDgLIsfwj4TuBp4AeLogAIZVl+DvAa4Ocmj+XAT5Zl+Y9XsWYRERERERG5fqItO7zUTpEDaOrl70tkGWKMmPXbQ6xTgKkoiqeA/wb4AuA2PGzJX5blGy77/rIsv+qS578J+KZzHv8D4LO7rFFERERERER2m8VEjz2LZ3K+vSiuazX5lutp2uB7HVPkfhD4E7Tlaa8E/grtZLm/3dtKRERERERERK7ADJI9zDBaFucAB02jDCa5nkIImNlaAkxfAnxFWZY/D8TJn/8p8LbeViIiIiIiIiJyBTGmXseuz+Jc+xFUIifX1LREbh0BJg/cn/z9qCiKlwPPAp/S20pERERERERErsCs/XB+uSlMzjm8d4Sw1N2ILE2MkRgj3ncNC12ua5Pv36btv/RPgPcBPwAcAe+/6JtEREREREREVsViWkmJHLT7iHH5+xFZhmmAaW9vr7dtdg1VfTPwwcnfvx04Bl4OfF1vKxERERERERG5ArO2TC7rLyljJuccFlUiJ9dTCIEQAlmW9bbNSzOYiqLIgK8H/iZAWZbPc87ENxEREREREZF1ijFhBoPB8vflfbs/ketoOkWuzwDTpXHdsiwj8G1A09teRURERERERHpmEcwSvr9r5pmcazOmRK6jOKnvXEeT73cD39LbXkVERERERER6ZpYg0Wvj4lmchxiUwSTXUwih1+ASdG/y/RbgrxRF8deBjwAnr6KyLN/a64pEREREREREFhAjsOQJclPOOSwpwCTXU4xxbQGmH5l8iIiIiIiIiGwks4RjNUEf5yBZIkYjW0VXcZEeTXsw9alTgKksy3f3ulcRERERERGRnlkEWE0Gk/eQcIQAPfZJFlmJtWUwFUXxl2Y8VQEfBX6zLMuqt1WJiIiIiIiIzMlsdSVrzgEpEZrE/v7KdivSixBC79vsWiL3dcC/B9yhDSi9DngN8FvAJwEURfHny7L8rd5XKCIiIiIiItJBOxhrRSVyk6q40KgPk1w/ayuRA34X+NmyLP+n6QNFUbwD+CPA5wN/A/g+2iCUiIiIiIiIyMqZwapK5JxzkBRgkutnGcElgK6dyL4a+P4zj/0d4GvKskzAfw/80T4XJiIiIiIiItKVWZqUyK0m4OMd4KCuFWCS6yWEgJnhfb/N6btu7Q7w5Wce+7PAc5O/HwBNX4sSERERERERmYcZpETvjYtncb7tw9TUtpL9ifRlmsG0libfwLcD/6Aoit8BPgK8HvhM4C9Onv9c2hI5ERERERERkZWzmCYBphX1YHJtMV6jVAu5ZmKMmPUfGO0UYCrL8peLovhk4EuB1wLvAX6xLMsXps8Dv9z76kREREREREQ6MINkiVX2YHLeqQeTXDsxRmKMvZfIdc1goizLu8BP9Lp3ERERERERkR7EmDBbVXip5f10cp3I9TENMGVZ1ut2ZwaYiqL4x2VZ/pnJ39/HjE5pZVm+tdcViYiIiIiIiMzJrG307TunUVydcw6LymCS6yWEQIyR/f39Xrd70Uvvx0/9/Ud73auIiIiIiIhIjywmLMJgb3X7dK7NnBK5TlaewVSW5U+e+vu7e92riIiIiIiISI8stllMWb9tZS7kPEQNkZNrJk7qOtfWg6koiv8A+OPAE6cfL8vyu3tdkYiIiIiIiMicoiVSSvieszIu4hzEoAwmuV5ijDjXf7eyTgGmoii+DyiA9wHHp57SK0lERERERETWziJLuWi+iPftfkWukxDCUrbbNYPpa4DPLMvyY0tZhYiIiIiIiMgVmLHyFAjnHGZGSmnlwS2RRcUljT7sWnD3EaBaygpERERERERErijGBG61ESbnICUIKpOTa2RZAaauGUzfCPxIURQ/Bdw5/URZlu/tfVUiIiIiIiIic7BIG/FZoWmP5FDDYLDSXYssLISwvh5MwJ8EvhR4K4/3YHpD34sSERERERERmYdZatOJVmh6jd4E40bnAiGR9YoxkpbwWukaYPpu4MvLsvzfe1+BiIiIiIiIyBW1GUyr3afzjgSEZrX7FVmUmWFmS9l21xDrEFApnIiIiIiIiGyclNIkg2m1+3WujWk11XIu2EX6FkJYWlP6rhlM3wn8j0VRvBN47vQTZVnqlSQiIiIiIiJrY3Hl1XEAeNcGmZpGTb7leogxYmZrDTC9a/Lnf3bqMUcbH856XZGIiIiIiIjIHMwSKa28xzduUhPU1AowyfUwDTB533/PsK4Bpjf1vmcRERERERGRHsTYBpmWkZVxEeccXhlMco2sPYOpLMsP9b5nERERERERkR6YTUrkVpzBBG2jb4ur36/IIkIIxBjJsv6L0ToFmIqieBnw7cAfB544/VxZll/S+6pEREREREREOrKYsJjI1hBg8h5iVAaTXA8xRmKMDAaD3rfdtUTuH9D2Wvo54Lj3VYiIiIiIiIgsyAyiwaDrFW6PnHNEZTDJNRFjJISwvgwm4E8BT5dl2fS+AhEREREREZEriDFhEfz+6vftnDKY5PqIk2joMgJMXduG/zrwGb3vXUREREREROSK2h5MCe9XXyPnfNtgXOQ6CCEsbdtdM5i+HnhPURT/N3Dn9BNlWb6z70WJiIiIiIiIdGUx4WDlU+RgmsG08t2KLCTGuLTXSdcA098EXg98EHjq1OMK04qIiIiIiMhaxUgb6VkD7xwpGimltQS4ROYRlxgN7Rpg+krg08qyfHZpKxERERERERFZQFuitp78B+chpTaLKssVYJLNtswMpq49mP4AUINvERERERER2TgWAdYT3HGuDW3VumKWayDGSErLCcZ2zWD6CeAXiqL4Ph7vwfSrva9KREREREREpCOzhFtjBhNAaAxudM3hEFmPTWjy/W2TP7/7zOMJeHN/yxERERERERGZT4zraxDsJ+VGcXnX7SK9SClhZkvbfqcAU1mWb1raCkRERERERESuoO3BtB7TdjZ1rRlYstlijJjZ2nswiYiIiIiIiGwci4mU1tWBqS2Rc0BTLy8zRKQPIQRSSni/nFDQhRlMRVG8j0syDcuyfGuvKxIRERERERHpKBokY20RJufafTeVMphks00zmJblshK5H13ankVERERERESuyGIirblEzjkIQQEm2WxrDTCVZfnupe1ZRERERERE5IrMwBI4v54UJucc3juWOJxLpBcxRmKMZFm2lO2rB5OIiIiIiIhcWzEmzB42214H59pJdiKbLIRACIE87zTvbW4KMImIiIiIiMi1ZbEtk8vWeHXrvCNGlcjJZptmMCnAJCIiIiIiInKGWZvB5JdT9dOJd22QS2STxRiXOkVu5laLovjNU3//rqXsXUREREREROQKLLZBpiVdM3fiXLsGkU0WJ3Wcbkn1pBe9BD+tKIqDyd//6lL2LiIiIiIiInIFcRLYWVZWRhfOQ1STb9lwIYSlBZfg4ilyPw+8vyiKDwI3iqJ473lfVJblW5exMBEREREREZHLWGS9Hb5pM0KUwSSbLsa4ngBTWZbfUBTF5wOfBPy7wN9d2ipEREREREREFmCWcKw3uOMcpJSI0cjW2W1c5ALTHkzLcmHr8LIsfx349aIo9sqyfPeiOymK4l3AnwOeK8vyM8953gHfC3wZMAK+vizLfzF57s9MnsuAHy3L8r9bdB0iIiIiIiKyXSwCrDeDyXtIyRECZGtsNi5ykXWWyJ0oy/JdRVF8EfA24BOBPwT+flmWv9pxPz8GfD/w4zOe/1LgUycfnwv8HeBzi6LIgB8Avhj4KPDPiqL4hbIs/1XH/YqIiIiIiMgWizHBBmQwQSLUif39tS5FZKZpk+9l6ZS7VxTFNwE/A3wc+FngWeAni6L45i7fX5ble4EXL/iSPw/8eFmWqSzL3wReXhTFJwBvAf5NWZZ/UJZlDfz05GtFREREREREMFv3Ctom3wAhqA+TbKa2hHONJXKn/HXgi8uy/O3pA0VR/AzwD4Ef6WEdnwh85NTnH508dt7jn9vD/kTEavZGv09989PAD9a9Gtkwe6P3Q7Xe/gFNTPyLjx3xx565yc2Bcs1FRBbxoQ99iFe+8pU8+eST617K2lWjlxg9+y956o2fR5bvrXs5MvG7d0a84kbOa59a/GdiMXGlErlk3PjAv6R65pOxmy9baBPeOUgQmsUv3pum4cMf/jBvfOMbyfOul+rbK6ufg8OXgFeseylbYRpcWnuJHPA0cLYs7feAV/a0jvP+hbN+S8x8xRZF8Xbg7QBlWXL79u1+VieyBHmer/cYPX4Wxi/BwTE89QnrW4dsHquhfoA//B1uv2p9g0I/fjjm+eaYjxznfN4nPL22dcjmWvvvUZFLrPsYbZqG4+Nj7t69y5ve9Ka1rWNTPP/BDzIafoQ83OPpZ/7oupezEdZ9jKaUePbDFc9Wxme9ebF1mCWevXmPuq65dWuxIJUbHbJ/eIc838M+47ULbSME4+jBmP39J7h9e7GA7vPPP8/R0RFN0/DMM88stI2t8sKH8Pf+P26/4SvWvZKtMB6PuXHjBlVVcevWrYW3U9f1zOe6Bph+Hfieoii+oyzLUVEUt4D/FviNhVf1qI8Crz/1+euAjwF7Mx4/V1mWPwz88OTTdPfu3Z6WJ9K/27dvs85jNB8/y8HRXZrw+1T1U2tbh2weHx5wcHSfm/ld7rr1HaMffWnM8/ceUB8f8+lPKd1cHrfu36Mil1n3MTocDjk8PGQ4HCrABNx/4Vmq4/s8/9HfIx28et3L2QjrPkZHTeTwwREfuj/mP37DwULbCE3i6KiirozhsFloG/m9u7jjEc3HP8L4DY/NpOrELNE0gRdfuM8TL6sW2sadO3d48cUX+cAHPsCNGzcW2sY2OTh8nieaj3P3zh9CpsZWVzUajTg6OqKua4bD4cLbaZrZr7OuAaZvoe1/dL8oihdpM5d+A/iqhVf1qF8A3lEUxU/TlsDdL8vy2aIongc+tSiKN9E2Fv9K4Kt72qfITvM2xllF1txb91Jkwzgb46yG5nCt6xg1xqg2zBY7WRQR2XV1XdM0zZUuJLZJakZgkWb43LqXIhOjxqijce948cbDZolk4NziN6N8NYSmwVdHC2/DufbjguSOS1VVRdM0PHjwYPGNbIuUcDaGcIwPh1j2qnWv6NqLMS69yXfXKXLPAl9QFMXrgNcCHyvL8qNdd1IUxU8BXwjcLorio8B3AYPJtn8IeA/wZcC/AUbAN0yeC0VRvAP4JSAD3lWW5e923a+IzOaswhFxNlr3UmTDuEnwEVdDStOxKCs3aowqJuISGxGKiGyzqqqo65oQwtL7blwHKYwAw9Z8A0UeGtXGOCQaS4xD5CCfv+dijEyaFi9+fPv6GJoaf4Vm4c45nHPEKzT5ruuaGCPj8XjxhWwJl2pIETCycA/bV4DpqmKMmBlZtrzepnN1DpsElToHlk5934WZTmVZJuDbZjz3HtoAlIj0yMVjsIhHASZ51EkGU5ZwdkzKbq5lHcM6Esyol3ujRURka00zmFJKJ703dlo8hmS4qIv3TTGsI8MmknnHi6PAa5+a/8LXLGF2tfthfjwEM1xTtyPp/GKDTrxvA16LqqpKAaYJZ2NcCoDHh4sG0ktXIQRijEsNMK13RNCyqaxC5HzJ2gwV4uRPkYe8jYEAKeHD/bWtY9QYjUEVjDooyiQiMq/pxSrA0dHipT/bIFRDkgUgtTdRZCMMG6MOCQfcHS127WbWTpHzV7hmdvVosiHDHS+e4eacm0y0m19K6SSD6aImyrvi5Ian82TKOuzFtERumRMKtzrA5KMORJHzOJumnObtnYF4vO4lyQZxNqatSnZrCzAFS4yDkXuwBC8ch7WsQ0TkOqvr+uRO9a73dGnGhyQLGBku1STTjYtNMGqM3DsyB88eLRhgiukqSUcA+GpEHBwACT+8SoAJ4oIBprquMTPyPCfGSFXt9k1gF8ftOWl2E2+6VunDRgSYiqLwRVH8h0VRLDbzcY28mheLnGuacmp+D0hkQcFYmUgJZxXJ5+AysuaFtSxjVEeCJW7kngTcHSrAJCIyj2k2RJZleO85PNzt9/pYH2GxAddeWI0fPL/mFQm0JXK5h0HmeHHB9/oY249Fq35cU0MMhP0nwDn8g8WvIb2HuGAfp2m/tMFgQEpp57MOvY1xKUF+Qz1jezLNaF1mP75LA0xlWRrw82VZXrs8vSy8tO4liGykacpp8m0vBq/Xiky4VE2y2zxke2sLPrYp88ZB7skc3Bleu7cgEZG1mpbaeO8ZDAY7P0kuVg9IocblN3AkqiNNklu3aIkqGgnYzzwPFmy6aJaAhF+0b9KkPC4MbpF8jj9a/LzYObAFm3xPJ8gdHBwAyjp0VpFw4AZtJlO6Qgd2AdoeTMse9tD1Vfjeoij+1FJXsgQavy5yPm9tyqllT5DI8I0CTNJycYxLDQnfvqGvqRHqqDFGwbi15xlkThlMIiJzmmZDOOfIsmzny22sGWHJyAb7JKB+8PF1L2nnjRojxIR3bQbTUb1YAMEiuKtMkBsPIQRssE8a7OOPFw/suCtmME0DTMo6BDcti/MDXDJlMfUgXqUDfUddi+8+BPyjoih+HvgIcBKWLcvyO5exsD64qINQ5DzOxu0kV5+DH6hETk48zG7bA284W0+gflhHqpB4+qZnL/McVuqVISIyj2mAadrPZdenUqVmSEptsM3whOP1lIDLQ6MmUlti4D044/AokFKaO8PCDK4QX2obfIca27+J5Qe48eLZfs45ktlC/46qqkgpkec5eZ7vdolciu35KIAfAIYPh8TsiTUv7HpbRYCpawbTDeB/oQ0svQ54/amPjaVmYCLna+8ItG96yeV6rcgJb2NcrEhuv71jdNIQfrVGjbUxUOfYu8JdTRGRXVVVFXUssbO+AAAgAElEQVRds7+/T5ZlNE2D2Q7/Lp0MNHHOk1xGana7ZHATDGtj1BgHA8ee9zSWFnq/b5tqL1aWBm2D75QcZANssI+vFk9ScA5SgrBAmVxVVSdBqTzPdzoo7GzSssG5SYDJkdWquLiqGOPSS+Q6ZTCVZfkNS13FkrS1mqk9MEXkhLcxafK+l1w+mRomMp0glybZbQ5HxIUj0uBlK13HqLGTaTB7meOwWuyupojIrqrrmpQSWZaR5zlmxmg04okndi8DwGKAUyXfCZ37bIJhExk3xitvDLDU9mJ6Ydjw5P583botcqXrPV+NMD/AOYcNDnChJjU1bjD/jKvpuUuoYTCY73vr+mG/ySzLHvl81zir8Cm0NYcub1t6hBfXvaxrL4T2fHqZOs+nK4riM4C/ALymLMt3FEXx6cB+WZb/79JWd0UuRZwdk7Kb616KyOZIEaw5uVBPboAPD9rGee4K811lK7Qn3JOTNDegnTJ4n7DiANOwjic3IweZp4ntXc15TzpFRHbV6Z5L2WS81tHR0U4GmEJ9RLJTzW19trYeg/LQqDa8e5it7IDnhg2f9MqDubZjluAKF82+GhF8Gw2yfB9Swo8OSS+7Pfe2podYE4wbnYuF2sySpmlOPs/znOFwiJkt3Lz8OvM2Bhtjbn+SxbRHFne4ZLAnG1MiVxTFXwTeC3wi8HWTh58EvmdJ6+pJwof7616EyEZxNsalSJoGk1yOw3BBv7Rlkt128smAhMc3q71jVAWjiYlpoGsvc+1dzWM1+hYR6epsuY1zjvv3d/O8OIwfkCzi/fQGSoYjEmq1CFin4aQcHtom35lfbGpsjFcokEuGr48x3+Zd2GAfSPjhYq8VNznGQnPJF55R1zVmdvKazbKMlBLHx7t5jDo7xqca3D4wqbiIu/l/0ZcY40rKpLuGQ98JfHFZlt8CTMNevw189lJW1SMFmEQe5a2dEna6BxMkfFSj7513kt02+dxl4DKysNpG38PGaCyRT5KV9jIHJJ5f4KRTRGQXxRgJ4WFQ3ntPlmU7O5Uq1kdYrHGTIIL3GZAYP3huvQvbcaMmniRNe+fYzz0vHc+XYZFSIllauMe3q8ekZMRsEmDKD8B5/IPFbq5Nz6Hqar4L+aqqCCGcZBvmeU5KaWcbfbvpDU/f/n+0LT0UYLqKGCMppaVnxHXd+qtpA0rwMEB8tW5qK5DIyFZ8511k07k4xlmFuTb9OKlxnky0fesCafrW4FxbQhlX2wh1VEeqYOSTk7RB5si9487RnLcDRUR2VF3XxBhPLiScczvdNDhWbYDJT3rquKwth6oe3FnnsnbaSbZyehgaGnjHg3q+AJPFK1XHtQ29Y8SySb+lLCdlA/zRYjfXvGuDTE0z36Lquqaua/b22nVkWYZzbmeDwv5MCWtyA/yaBs9si2kG07L7mXYNMP1z4G1nHvtK4P/pdzk90/h1kcc4G4M14Pcnj2Qkl5FFBZh23cOGiqf6HLnByqcMDpt2qszNvXYdbW8Gz4sjlciJiHRR1zUhhEfuVGdZtrMBphSGpAR+0mcn8xngaI4UYFqX46YNMGWnrnX3c89ozily0VI702nBpAxfjaBpsMGNk8ds7wA/Xuzm2nQdTT1fgKmqKpqmYTDpDJ5lGd77nQ0wPdITFNrhMxguPFjXkq69VZXIdW3y/e3ALxdF8Y3AraIofgn4NOBLlrayHqhWU+RxJ7+wp9HrkyyV3UzBlYd8PMbZmOgeNtdMPsevuD/XqDGiJfbzh2eLe5njaM67miIiu6qqqkeyIaAtudnVfi6pGbZj6Cd8lgEeq3RzbV2Omsg4GPmpCNMgc4yaSLRE5rtlWVhsm3y7BYvkfDWC0JD2bpxsIeX77eMLcM7hHYQFMpiccyfZJdOsw9FosXVca9ZAevSm4rSlRxbuEQYvX8+6rrkQwkqaxnfaelmW/xr4I8APAP8V8PeAP1aW5e8vcW1XplpNkcf588byuhwfd/ANTB7hrIJ0OrutTUl2qYFYXfCd/RrV8bFpw3uZYzjnXU0RkV01zWA6G2BqmuaRSVU7I445G38wl0PQdcK6jGrjuDFuDh7+YPa8wxLcm2Ooh00zmBas+vH1CPMZLnuYvW2DgzbAtGDtnfOOeYd1nW7KP5Xn+SPTIHdFO5AokHj4M0muHTyTNQoKLyrGSIzxpM/XsnQOX5VlOQL+KfBrwPvKstz4dIfkBpMLJl2UiEw5e/wkK7kBnBd4kp1yEpA/dYLzsAn86lKS26kyjx6kg8xzPLmrKSIiF5telJ6+YJ1Opdq1psExVKRYn9M5NgPbvYv3TTGaDPQ4m62cgLvzBJgiWEx0THh6jK9GmN975DHL99sNL5jF5D3EMH8G01m7GmDyNsZZwyOhCpeBy1c+eGabTIc/bESAqSiKNxRF8T7gg8AvAh8siuLXi6J44zIXd2Uavy7yKKsfSzmFSRmU1W1Kquwsb+PHT8BdDinhm9W8oVtKHDdGOrOQvcwRE9wbqw+TiMhlpuU2p00vKnYtwNQcH5JSOBkff8J7PDrvWZdhE8nco0HQQebxDu4cdZ8aGyNEm7ToWYCvRqQz32yDg/bcZ7RY/yPnHPO0ummahnhOylOWZTRN88hEyF3gbDKQyB888nhyA9yKB89sk03LYHo3baPvl5dl+WrgFcA/mzy+sR7Wat5f91JENoI/STl99I30YZbKbjYSlFab3fboCXhyOcl5srCaiZzHjRHM8GfW0d7VTLygRt8iIpeqqop0prwnz3Occ9y/v1vnxbE+IsWAPxtgcgNIRj1SRsQ6tM28z2Yrzz811ixhsc0amlsMECrsbIAp3wfSwpPknIMYu2cwVVX1yNTHqTzPdzLr8GHLhkczy/A5Xv2VFzYNVG5KgOlPAn+tLMshwKQ87jsmj2+s5NtaTa9aTRFgekegJrkzv1hcO7HCN7t10imnWNOOfk1nT8AzcIOVBepHjVHHRH5ODybnHM/NcdIpIrKLQgjEGB/LYPLek+f5zl2sxvoIixU+23/k8bbRd2L8QJPkVi2lxKgxzqlbZD/3PKi6NzCy2G7vsQBiB74agUXi2RK5wT74DH+42M0159uyva7quqZpmscu/Hc169DbuP1PfOym52AyrEgWcV6W3DJ0DTD9JvCWM499DvB/9bucvmXgspXdeRfZdNOU0+QfPclKLifhyIKCsbvqJLvtnDm/yQ9WNpFzWLdTZfbPRJhy7xh4x52hAkwiIheZZkOcd5c6z3PG4926QLP6iBQjPj8TYPIZDqgVYFq542CEGT0V550aa5PtnA2oduHrEYSIDc5kyjhPGuxfoUSuLdvrqq7rx6Y+wsOsw8PD3aowcDZ+/IYnkwFeKx48s01WFWCaWa1aFMU7T336b4H3FEXxi8BHgNcDXwb85HKXd0Uavy7yCB/HbdP7symn0ywVZfvtLGfHbXYbj1+QJJfjVzSRc9S0U2VefevRtyfnHHuZ4756MImIXKiqKpqmOfeCO8uynWsabM0Qwz2e0ZXlBBzN8Pk1rWx3DWujiUZ+TtbRIHPcP+5+IdxeMy/W4dtXIwg1tnfjsecsP8CPF+v3473DopFS6hT4qqoKM2MwGJzZTpt1+ODB6gatrF1K5w4kgkfb38Ts1Stf2nV3XmbrMlyUwfT6Ux8HwM8CFfDqyZ8/N3l8s7n8/LHsIjvovB47U22WymLTMuT6O8luy875tT5NSV5wXO88Ro2RgDx7/O1pL/Nz3dUUEdlF02yI/f39x57L85y6rh/rz7TVwui8Siy89ySXY81uZYdsglFjHAdj72w9PG0GUxWNcej2fm+WcG6x49lXI4hGGjx+7mOD/fb5BTgHpO6T5C4K+uZ5zvHx7vQdcqluWzac86JNbgAJvCbJLWRVAaaZGUxlWX7D0ve+AspgEnnInTclbGKVWSqyedoJcvGkH9dpbUpyxNkxKbu51HUc1XHmnY82g0kBJhGRi0yzIfL88dP8PM+JMTIej7lx4/Gsja0UZ99oTvgLn5flGNWRUWO85tbjx+ie96QEL44Cr33q8mbEdsUMJvODcy+6Ld/HNeN2B36+psjOtafbTYD88dOqx5w39XFq17IO3clAonP+zyeDZ3yj9jeLWNU0ws4DHYuiuAl8CvDE6cfLsvyNvhfVp+RzXGja8exny4JEdkmydirDLC5vM5hSmpnlJNvLWdX+3M/52Sc3ABI+3CcuOcA0amzm8beXOerJXc2DfLkTMERErqvpxeqsErnpVKpdCDCFakiyMPu8xmV4q1e7KGHYGKRZ2cqOBNwdNbz2qcez8M5qp7UtlsHk6hGWnR8BssEBmOGOH5BuvXy+7U7+WaExuHFxy+OU0oVZhdPG/F3L7a47F6cDic75uTgPfkAWlHW4iBjjSrJXOzX5Lori64CPA78K/Mypj59e3tL6cXJhFHeodlXkHO3Iz/jwXe+M5Aa4FHDKYtpJLo6ZdQewrXln6T26giWqYKQZJ4qDzGEJXjxWHyYRkVkuK7cBdqanSzO+T7KAn3Vh7nNcqrGo95VVGjU2M+Y3yByZg2cfdBvqYXM00z5rmsF07nbzfSDhh/NP0fWTFKbQ4Z9Q1zVmhvfnn59nWUaMcWeymNqWDWOSP78TjyouFpNSwq7yYplD1wymvwV8RVmWv7LMxSzF5MLIN/ewwdNrXozI+rgLpoTBw8Z5PhwuPUtFNkyyydjXGXc1XE4iwy95IueojgRL5DMzmDwJeGEYeO2Tl9/VFBHZNdNsiFmyLCPLMu7fn/+i+TqK9RCLDdmMrFfn2sero7vceNkzq1zaThvWcWaAKfPtUI8XRpcH/VJKWFwwe6mpIAbijAoXGxyAc/jDe8RXv3G+bXvAQdNcvraqqgghnDv1EdqgcEqJ4XDIwcHmtz++qrZlg4E/P0yR3EA3wxcQQsDM1t7k+7Qa+LUlrmNpTsavq1ZTdtxJE+fzUk55mKWixnm7x6UaMGa+JTg3SUle7h3vYWNUwWbead6b3NX8+JHKGUREzjPNhph1EeGcI89zRqPdGOoRqwekUIE//6aE8zmORPXgzopXtruCJapoF1a17eXdhnqYTTo7LLCOaYNvy84PMKVsQPI5/mj+7G3n2jU11eUZI3Vd0zTNzADT9PFdCQq3NzwvCFG4fNJTdjXZONsixrhxAab/GvieoihuL3MxSzEdvx5240UpMos/CTDNuPsxyVJRMHb3tPXuzczsNpg0+l5yI9Rh3U6VuTGY0ejSOwaZ426Hu5oiIruormtCCBdeROxS02Crj7CUyGZ0Ws6yjATURwowrcqoMZqYLmz3uZc5jurLAwjTANMiEaY2wBQmpXDncI40OMCP5x8W5V27pqbulsHUNA17e+cHuvI8x3vP4eFu9B1yNr6wo1Y7eMY0+XpOqwwwdS2Rez/wTuAvF0UxfcwBqSzLje+0qvHrIpM7Ao7ZkzDUOG9ntdltMxoqTqwiJXnURKqYuH1zdqBrP/McapKciMi5pher502Qm8rznPF4NyanpTAipdkXVD7LiHjC8QsrXNVuG9WROiYGM3oOQduH6d5xuLSxtcVEssVSmFw9gqbG9m/M/HYb7OPHw/m37R2uY4nctMH3rAymadbhcDj/Oq6dFHGXNN1vz1WtHTyTP3Hh18pDq2rwDd0zmH4C+HHgs4FPm3x86uTPjadmYCLTlNOL34HbLBW9VnaNnzZUdLP7GiWXt2/6aXnBnWFjeLjwZHKQuXb6jIiIPKaua+q6Zn9/9u/zLMtommZlDV/X6pJzGuc8yWWkZv4sFVnMqDGOG+NgRrYywJ73BEs8uKRMzgwWjC/hqxEJh8tnTxm3fB9XLZak4L0jdjhlqqrq0qySPM93IuuwHUh0wdRHpi093NIHz2ybEAIxxgtvPvSl6x6eBr6zLMvVhL365ga4ONT4ddlp3sZcFrhu0053466mPNQGH5nZULH9ogGOiAsPSIP5xvV2NarjpSeJe5njsLr8rqaIyC6aXoTOyoaAR5sGP/nkk6ta2spZDNChtDuRtxe2shLDJlIF45U3Z2dN72WOBLw4DDy1P/vcJMaEWZsxNC9fjbBs9hqgbfTtQg1NBYP5hos4R6cA00VN+ad2pazV2RifQtviZuYX5W3ySFCAaR4xRkIIF9586EvXDKa/B7xtmQtZpvaiOarjvOyuFMCaS+OryQ1wsVLjvB3Tlk9ekt02CT4ts4Ry1NiFdffQTpJrYurUm0FEZNfUdX1p8D3LspMA0zZrqgcki5ffjHDZZNiFrMKoNnDMHOgBbbayAz4+bC7clsW2TC7rekV7iq+GmL8kwJTvQ0q40fznPs474iUT7mKMNM3F/0Zog8LTBv7bzNsYrMLc7KyytoP6gCwq63AeMcaNy2B6C/COoij+BvBIF7yyLN/a+6p69nD8+n2NX5ed5GyMS5F00R0BaCczEHHhiDR4ajWLk7Vrs9suL59MOHzzItx4Q+9rqMK06efF6xhM7mq+MGp4cn/jWwCKiKxUlyyHPM9xznH//n2eeeaZFaxqPeIkwOQv6PUDgM9wIRLqY/K9G6tZ3A4bNsZlCUd7mSPzjjuXTI01azOYZvTHni0Zvh5jF/SehDaDCRL+6D7xZa+aaxfetcGvi1RV1anx8jTrcDQa8cQT29t3qL1eqcFf/G9sW3qov/I8Qmiz/y/9fdiDrgGmH5l8XEvTxrVZuEfc/4Q1r0Zk9Xwc41IDXHxBPg3GZuE+QQGm3ZAiWI1zl+QOuRxcRh5eYhn3eY/qSGOJrMNJJ8Bzw4ZPesWMiYgiIjuoazZElmVkWbb1Y89DdYSFCn9R+TfgfQYkxofP8sTtN69mcTts2KEc3jnHfu64d3xxjVmMbZDJz5nC5OoxKRkxuzgyZfk+OI8/eol5O1A6167tItOpjxeVtMLDrMOjo6OtDzABswcSTbR9QVWZNI84qdfcmClyZVm+e9kLWarJ+HWv8euyo5xVOBsT3cV35pIfkPD45iW48foVrU7W6SS7rUPFdHJ7S7tjNGqMKhiDS5YxyBy5h+cuuaspIrJrpiU0XS4gdqFpsNVHJGvwBxef+7hsQAKqo7sKMC3ZNFv5sqxpaG8oHV3a5LsN4Mx70eyrEcSIXdDgG4AsJ+UD/NG9ubYP7XDmeMlLrK5rqqri4ODiG2bTrMPDw8Otzjr08fKBRNAmj2R2Hyxc3D9UTsTYoVy4J51+IkVR/KVZz5Vl+a7+lrMkzk3Grz9Y90pE1sLZGKyBS5szZ+AysqBg7K7wNslucx3u/i1xIueoMUaN8YobF9+18s6xn3teuOSupojIrqmqihBCpxKILMsYj7d7qIc1Q8xgcMkFaOYzAo766OMrWtnuGjXWZit3aMq9l3mGl/RbtLhYRoavhtA02I3LM6FtcIAfz9/vxzl3aQbT9DU7GFxcque9x3vPgwfbfS17ksF0ibYvaMLHQ8y/crmL2hKxS8f5nnQN+Z1t8P0M8MnAPwU2P8CExq/Lbmt/YbvLpyg6R3IDvG134095yMUxziqiu/wkK/kcH5bTVHFYR2JK7OeXXxgNvGN4yV1NEZFdU9c1dV2z16EhTZ7njEZb3sMktGPoL+OzjIQnVfNnqch8phPkLstWhjZj+biJxAsCUm0T7fmHnPvqGGJD2r9x6RFi+T5ZNf81pPdgKRGjkc0o4Zs25b8sSOac2/7XrDXtUKIuP043AAzf3McGCjB1EUJY2b66lsh90dnHJllNn9H7ipYkuYFqNWVneeuWcgq0WSoKxu6MNruthsHLLv3a5AZttlOsIOt3zOmosa5HKHuZ1xQ5EZEzqqqiaZpOPVryPCeEQNM0l2ZPXFcpHNP13Ce5fPL1skyj2jhujJdfkq0MsOcdluCl48DtW+cfo+1QtQUymOoR5nLcJb1+ANLgAD98CVK6/EbtKc4ByRECzGqxVFVV5wysbS9rbVs2hMsHEjEdPOPJwksE3rSC1V1/qyyRu0ob8R8DvrGndSxd2wysahvaiuyYdgx9t69VMHa3tMeG73TSdDKRM/afoj1fgMkxntzVFBGRVtdsCHi0afA2Cs2kNUDn7JasvU6QpZqWyO1dNtGD9r0+Ac+PZjeut4UzmIZY1i2wavl+2+unmi97qH0ZJsIFN8Tquns/yW0PMHkb46yhU3jCZeByskZZh13FGElpNefNXXswnf1J3wS+Frg+P1WX47DJ+PXL79SLbA2r25TTrnfxfI4LTXti5rfzrqY85G3c/dzM5ZASvrmH7d3ubQ2WEsdN94ykvcwRE9w7Djw9466miMiumQaYusjz9hLg6OiIV7ziFctc1lqE8QOSBXyHXj8A+AwfK5IZbgVjvHfVsIl4161v0l7u8Q7uHDV8xqvO/xpbMJnZVyOC69YpxgYHkMAPD7GDW5334SbH3qzKpKZp5uqLk2UZTdMQQjh5/W4TZ+N2IJHv9n+c/ABnW1wy2KOU0kZmMAWgOfVxH/gvgW9d0rp6l9yA6fh1kV3ipymnXJ5yCg9fKz4eLndhshHmzW5LS2gCP2qMYNY59Xwwuat593h19eQiIpuuqqrOd6izLMM5x/3723leHOsHpNicXORfyuWAUR/r3GeZhrXhOp505N4x8I7nh5dkMM170RwDhBrrOH3M8rYlgD96aa7deAckqOvzX5NVVRFjJJtVP3dGnudbnXXobNzeEPeX95Brv2GAX9Jk422zyuwl6N7k+2xx47Asy7t9L2aZks8n49dfhBtvWPdyRFamvSNQd6ppbr+h/bXgm3vY4OklrkzWzuq2bLhzBpNvU5J7DtSPaqOOiQ79vYG2B5Nz8NxRzaffvnj8tIjILphmQ3SZIAftVKo8z7d2KlWsjjCryTr2C/RZBiFRHd1h/9ZlE3dlEdNs5TRHSdte7jmszs/yMUtYYu4LZ1+NwCLmu50/2GAfvMc/mC/A5DzgoJkRYKrrmqZpOgeYpl93dHTEy1++fceot6oNFnYMGCaX62Z4RzFGzGxlGUxdm3x/aNkLWb7p+PX5fjmIXHfTlFPLupWGto3zHFnzEsoP2W5+joaKU8kPep/IOWoix41xkHe9q9lOkrsz1BEqIgLtxeq8JRDb3NPFmiEpRtx+xwCTz0hAdfgsvObTl7u4HTUORrBE16QyaEvij2ZMjbXY9t32c140+2oEIWIHXTNlPGmwjx/Nd3NtGitpZrQAqKqKqqo6NeWH9vU6zTp83eteN9dargNnx5C6/yyTy3EpQBxDdvkk5F22URlMRVH8H1x8bzuVZfkf9bukJZmOX48avy67xcfx5B24Y68al4EbkIXr02JNFnOS3dY5mXVyx6jnmvdh006VedlBt3U459jPPffHCjCJiMDDCXJdsyFg+wNMlro1PAfwWU7AEUbXqkDjWhnWRhONbI6A0F7muHd8foApWiJZwrk5M5jqUVsit9c9A9ryA/x4/ibfzkEzo493XdeklDr3U5pmHW5liVxKbZP9OWKFD9vfHBIVYLpQjHGuDNeruuyI/vszHv9E4Ntpm31fH26A13Qs2TFtj5357u60WSqqa952D7Pbnpzjmwa4OJx7XO9FRrWBg2yON76Bdwxn3NUUEdk1dV1T1zU3b3Y/Nc+yjNFoREppZaUTKxPmO4fx3pNcjtXbWTK4CYZ15DgYex2zlaHtuVhF47iJ3Bg8GjydZjDNFZVgksEUE2lw0Pk7bbBPfjxvBpPDO0cMs3swzSvPc46Pt+9a1qV67knvadrSI7xE3H/1Mpa1NTYqwFSW5d89/XlRFE8D/wXwzcDPAO9c3tL6l3yOD1sY9RW5gJtnSthEm6WyfW9g8qh2gpyB6z6JrU1JjjgbkbLu01QuMmzinKeHk7uaYwWYRETgYcPgeaZL5XmOmTEej7lxY3v62SUzCMfMG3hIeLDxchYljBpj1BivudX9GN3znpTghePA684GmCwxx3yQE74aYdlgrqCqDQ5w959ro1q+e5ag821P8fPMM/VxKsuyrcw6dHMOJGq/adpfWe1vLhNCIMbI3l7HstAr6vQKL4riKeCvAe8A/jfgT5Rl+W+XubBlaC+MGogVdGz6J3KtJcNZNW98aSlZKrJ5TtKR5/gZn0wZDIfEngJMo2b+xoN7maOOxjhEDvI5TkhERLZQXdd47+f6XZpl2clUqm0KMIV6SEpx3vgSuKxtNCxLMWoMEuRZ9yyKvbydGvv8sOF1Tz167WaxnSI3R7wHaANMseMEuZN95fvtOfXoAemJ7g22nXNEe/ws3Myo6xm1cxeYlshtW9ahi9OBRN1veOI8+AFZUKPvy2xUBlNRFDeA/xz4q8CvAZ9fluXvrmBdS/Fw/PoDTAEm2QHOKkgR5+b7hfIwS+WYlF2vSljprm3WPecd3klKcta8SNz/hCuvoYmJKsw3VQbatPmU4MVR4LVPKcAkIrtt0XIbgMPDQ171qlf1vaS1CdUDUgxzNZMGwOe4cIzFgM/mC0DI5YZ1nPtnspc5MgfPPWjgzClHjIlosD/nj8rVI6xrX9IJy/eBhB/dJ84VYGqDYGc1TbPQVK8sy4gxbl3WobdjnB1j2Svm+r7kBr33Bd1G0yly82S4XsVle/kAkAF/C/gt4DVFUbzm9BeUZfmrS1pb/1wOKbXj1/dur3s1Ikt3knK6QICpzVK5T1SAaTtNstvm5nISWW8pyaMm0liaq+knwF7mScDdUcNrn9INAxHZXSmlhbIhsiwjyzIOD7crAyBUD7BYk815MeUmWS3jo7vcfNkzy1jaThs1Ns+QMKCdELeXOe4eN489ZzZ3xRquqSAGopuvVMgGB+A8/vAl4qvf2Pn7vId4TjV/VVWEEOZqyg9tUDilxHA43KoA00k7jzkzy5LL2++VC4XQ1mmuKuvtsp/imPbH/a0znk/Am3td0RIll5OcJwsavy67oW3iXJHmfCOdpqj6cL+XLBXZPM5qwIA502Wda1OSYz+NUEeNUQcjn/O25vSu5sePGj6rl5WIiFxPdZjOnfoAACAASURBVF0vlA3hnCPPc0aj7coAsHpIijVur9v49ynnMiBRH95RgKlnwRJVtLl7ggLs5Z6j2h57vM0MSvg5Iky+GkKMWD7neXG+R/IZ/mi+m2vOgZ3T5HvalH/ejJLTWYe3b29PskQbJFog+OFyXHww6Se6mvKv6yjGuNKSysuafH/SitaxGhq/LjvG2xifKsL/z967/Ei2bWt9vzHnWpFZVXufey7sa18B14AFsowbuGEhWW7YbtjClhCyZKXA7l/dBh03/A/QQqKFBRa6okHPKCU/QPK1wT0/Oka2hATGEgjw4XDu2a/auzIzHms+xnBjxsrMqsqsyoyM9YiI+ZNK5+zcmRFrV0bEmvOb3/g+98ysnK1Lxce3fHxmVDkGivgYsR1uOCbtdrzu5SyDskrKl4vnLQy8E1ovfL+sxwWVSuW0CSGQUtppA+G9Z7M5LgeAhhtUjbZ53hiU9w0Z6G5+F/jjg1zbqbKKSszPdytDOVBadh8LTFlBdmqQy+jZ853P1p7jNs8rixJXrvNDuq4jxvhsF5L3Hufc0bkOd8qLZbseNUXyEmue0Yh8YuSHbHQDcnJSX61fr5wSopvygf3cBMTepVKD846WIjCFZ7vbYL+W5FXMhGScN8+/HZ15x1VXm+Qqlcpp029W2/Z5ggoUR8SxtVJZWmE7uCGcd4BDN2/3f1EnzjJkQjb8s4Oxykj8MmbM3pcgNNvzR+66FcSAnj2/pETbM9zmeXtIEcHUsA+Cvvv33HNH5ESEtm1ZLpfP+rlZY7m46nc68LyL9Kg8Tj8iNxanJzBJU6q5K5UT4CUigEmzN5dKZX642/HJ82f/bAlVLAHyL2UZFSe7zYW3XljGB44GK5VK5YQIIRBj3KmCumma28DhoyGvd3JDiDiMBo1HtHmfCauorKPyqt3tXp/MPjpQUgV55m9aQhEfZYewY23Py4jdc55PAIMU37/OEMLOI0ve+6MShUshUWKXEbm74pn95IIeK9XBNDTSboPEdrn1VCqHhcsbzHZ7m5u0iFaB6Vgp4qM+390GpTABRdLLc5iWIe8ydQ8U2/wqfHyqWalUKqdE13WY2bPdEFA2q31o8DGgOUHe7HxfMfG7FWBUPskyZLqkvGqfvyZdbFtjv1+9H9qgGZ4rSrhuhfrnO/1g2ySXIsSnvz6cK7FTIT3sYNqFpmmOaqxVdIOzVKJsnv3DDSYNPlWB6VOMncF0cgJTqV9PdeNcOX4sgUVEdtt8lzGoUILzKkeH6HrnQETbtnz4PViS11F3OmmGYpuPag+Gf1Yqlcqp0HXdi9wQZsb19X6KG6YmdteYZmSHUSwAxCP2/Ea+yqdZRQUprXDPZeFL0tI3y/cFppzt2Q4m161Qt6PA1J6DGbJ6enxE/5+b7zmYcs4vGlny3h+V69DpBrRDd4hsQASkxeXnZWOdGjmPexh7kgITUGc1K0eP6AaxhLHDiQCUZgYykuqH9jHidIM9N7xgi0mLIfj4spyKTSqhn7ssOKHY5g34flmj6CuVyukSwu6CSNM0iMjRhAbn7hrLaef7ijiPWCaFehC9T1bbcfhdaJ3QOOHrmw8cTFq6cJ+MKS5sUHn+eBxsHUwY7ubpe8he6LyvJ3Vd9yJHSdM0qOrRtD9K3hRR1z0/eB1qpMfnyDnv1DL6EnZ7h+3AxcXFnwT+EuCBv3Z5efkXPvj3/yXwn9+7rn8d+LXLy8u3FxcX/wy4BjKQLi8v/61dr6OvX/fxh1q/XjlqXN4gFneznNK/Vwyf3pHan+z34irTYhl0d3dbaeT0L27kXIZMVNt50Xl7qrmK/KHf8/wsqUqlUjl0cs7EuLvI7r3He380AlPqbtAccDu6VMrYuLG5+l2++Opf3eu1nTLLkNnVriwiLBrhx/VdjoxZCc5+zvLBdWvMMtk9r7mtR9tzEIe7+p78+//I055ze4HhXgte3/q4y0gr3AWD39zc8MUXX+z0GHPiNi92V1e9NIgeh9g2BL176egEpouLCw/8FeA/AH4O/N2Li4u/dXl5+f/033N5efkXgb+4/f4/BfwXl5eX94/H//3Ly8vvXnwx2/p1l2pDROW4Ee0Q7ciy243UXIPhcPEtvPqNPV9dZUqKuy1jO4qPACYLJL8ss2MVlS4p7Y6X0XrBO/j6po4zVCqV0ySE8OLT6WPKdNFwg2nEne+29vG+xYDu+tsqMO2JbutW3iXEuWfhHTfhzgaUc4nTfc4jSlhBzmizwygWgPNYs8CtnuFgkvInhDt1LYRACIHz890OxnrX4bt37/j1X//1nR5jTpTyrd1fGyYtXgNohF2F5SNmCgfTWCNyfwL4x5eXl//k8vIyAH8D+NOf+P4/C/w3g1zJbf36ccyaVyqPIboGTTtbTqF3qdTgvGPD5XVxt73gho40uBdakldRWUblzWI3hcmJcNY43q7GbceoVCqVudB13YvcEHBcrVQWl6iCc7udoTvvMYSw/HrPV3a6LKMS1fAv2HUuvHBzrzVW1dBnalauW0GMxYm0I9qe4dZPP1zrTTn3W+T6Ebm23U0Mcc7hnDua3LSXNF5DnwtquHwcfx/7JqU0el7XWALT7wf++b1//vn2ax9xcXHxGviTwH9778sG/J2Li4v/6+Li4jdfejFlVvM4Tmoqlce4PRHYVbEWKXX0L3SpVOZH725T2X2RZa598aJgGTKqxuIFq87WCTexCkyVSuU06d0Qi8WOrgyKI+JoBKZUauh3xTmP4bDuZSPglTtW2wa55oUC0yYqSYtQo5kyIveMNa7rVpASdvZ65+vQ9hzXPUNgEsG5jwWm/t/tgojQti3r9RHkDmnclhK95MCzRHq4WPOVH6J3MDk3XvT2WBlMD71qHpvE/VPA//HBeNy/c3l5+YuLi4t/CfhfLi4u/t/Ly8v/9cMf3IpPvwlweXnJmzdvHn4G9yXkFedfffWc/4ZKZa80TcNXQ74GtQU9h/NH3gdPQb4AjFf1vXJcvPsOOgfnv+eTAqR37vHP0RBgfcNXv/oF+N2EKvfWePUq8ebN7kLXTzphGfKw76XKbBn8c7RSeSFDv0avrq7w3vPTn/505w1rSonNZsOXX37J2dmurud5cPOPleibFwlusVkA8WQ+W4Z+jX6drtFmza+9bjnfcSY+SOCbNfDqS7768pzrq8irV1d4n3nz5mlOoIUotjjnbMfRNAD/6gva9TvevH795APc5fWGxaK9/Tv+2c9+xqtXrx5fXz2B/mcP/jUariAsoHkDZ4//fXxyParnoOf89DzAof99DICq0rYtr1694vXr3cXVD/lUucRYAtPPgfshLn8A+MUj3/tn+GA87vLy8hfb//3m4uLiv6eM3H0kMF1eXv428Nvbf7Tl8mGF2cWEj9dcffv1zgHIlcpL+eqrr/juu5fHij2IGa+uvsOHDfkFDiQfMy6/42qo66xMwuLmaxabQP5MKOKbN2947HNUcqQNHde//Kfo2a/tdB3fvH1H161ZLnd3IGmK/HgT+Pqbb/G7poVXDpZBP0crlT0w9Gv022+/peu6FzVKxRgJIfCzn/2MX/3VX93j1Y1Lihu69TWa04ua9bIK5OXJfLYM/Rr9xbdLlss1P20yyx1/LSlmuhD4Rz//hubXXnN9lbm+7hBgKU980Ku3qLkXvTYMj4sdy++/gVdPC9iOMXFzHfnuu+8wM96+fctms3l0ffUUUkqs1+uDf4368C3nNz9imrD0+N/Hp9ajAG1U0g8/Z+UO++9jCL777jtubm54/fo1Zjsm7T/Ap8olxvJK/V3gj15cXPzhi4uLBUVE+lsfftPFxcWvAP8u8Dfvfe3NxcXFl/3/B/5D4O+/6GqkRVCk5jBVjhSxUCynL8nYoW9miJCPwzpfKbgXjrYBxZJstnOTXFZjFXdvlelZOEENflynz39zpVKpHBld1704vLVpGszs4Jvk0uYa08zO1aQ94nEWsZFzS46VVcg7pzX0LLzDCXx9XcQhzZSsrWf4BFy3Ql9oLLDmDAzc6unvFRGhfynFGEnp5esV7z0xxhc1SM4B0Q2iHeZ3C+XvKbENtUnuIXLO5JxflNP3XEYRmC4vLxPw54C/DfzD8qXLf3BxcfFbFxcXv3XvW/8T4O9cXl7elyj/ZeB/v7i4+HvA/wn8j5eXl//zS67HtsF/Ph32jbRSeYzSEpZ46Vvc+rnmGpx3VIhuXqo9YtJg4nE7hsCvk5LVcC9cdbZeMOC7KjBVKpUT5CVujB7vPc65gxeYcrjGcsS/MGtEpAGUbl0zXfbBMirywkVH44TWCd+uyr1e1dAMT/5V5wQpoDuGv/f0AeHu+ulrH3GQcjlNCyGQc35xHk4vCt/c3LzocaZGdAOWtzlKL3mg9sXFM8dKL2geYwYTl5eXvwP8zgdf+6sf/PNfB/76B1/7J8Af3+e1mDQYsq1f/1f2+dCVyiwoJwIBlRe+xaUBM1z8EV3UueajQPfjbkMcSINPuy3AlyET8staZeDeqeZN4F/76mUnYJVKpXJIxBjJOb/YweScw3t/8JvV3N2gGvDNy3KkxHskGd3VLzl/c7gjg3NAzVhHxV5qVwYWjePdpozU5wxm9uRNs+tWoBl9oVNGmzNw7nkCk0BO5b+/6zpijDTNy9bnvRvl5ubmoMdanW7KX9ALP8NMGlw+bIF8KHIevwhnPClrTkgD4mlq/XrlSJG8QXSDud2DDKF3qTh8fa8cDW7rbjNebpU1t/uJ0Toq66icvaRWhuJgapzw9c1h28QrlUrlufR15y8VmKA4Ijabw25YzuEGyxnxLxOY3NblEm6+3sdlnTTrqCTVF7uVoTTJ3YSyWdZtm9xTX/ulQS6jL3xtIIK157j108UMJ9yOyO2j9RHK+1VEePfusF12L20j7jFpyuRGdTF9xL7uEc/hNAUmyuiP1Pr1ypFSRAQD91LLqQdpd87ZqcyP4m6L2B4KDkx2n3lfbgWm1+3Lb3pnjeOqG/+EplKpVKYkhECMcS/ZGk3T7GXcbkosLVGTlzu6Go8hpFUNDH4pq6iEbDR72N8uvLDqBaYMz3Fiu7AqI3JnL3c6a3uG2zx9DylO0GyYGV3XoaovdjA552ia5rBdh2aI7ifjtY/0qPE3H1MdTGMiLU6rylk5TkQ77KUjUFvMtUg9ETgaisC0wdweqqilKYuDHVopliGD8OKsDIDW3Z1qViqVyqnQdd1e3BBQRm66rttry9DYWNxPyK8Th9GgoW5WX8oyZDZJOduDwtR6IaixChlVQ+Tpr1XXrSAb1r587aPNWXm8JyJSlkkpGSGEvblJDt11KNaV/KU97FdsGwmyay7oMbOPUPnncrICk7kGyYf7pqxUPsW+LKewnWuuYuzR4PIGTMG9fENSLMkZ0ee7QVdR9ySBwqIRlqG2/VQqldMihICq0rYvdCtTNquqerAbVlMt6/o9bd5NPOzJXXHKrLZu5Vfty7ecC+9Qg7ebRH6ug6lbob7di7ij7TkSN72N6rPI9j89JfYqMPWi8KEieYNYxPYhR0iD4XGxCkwfUkfkRsSkRazWr1eOENOtg2lPSLtteTjcU83KHaL7XIBvWwZ3sCQvg+7thrfwQsjKJlUXU6VSOR26rtvrZtXMuL4+zNbYFJaY5b0dXCAeVwWmF7OKiho0L230oNzrwfj2OqLZ4BkrXdct0ZfGRmzR5gzUkNXT3itu+6IMm7TXMdR+rPVQXYd9IZG9tEEOiornmjoi9wA559FfIycsMDXU+vXKMVJGlvIeRYTepVJdTMdAEQv381i9Jdk/88QoZiVkZV8XsnAOM3i7Gt8GXKlUKlOx780qcLACU9xcYTnh3J4kJucRi2iuBRIvYRkyfk+/koUXvAhfL+NtaPZTkbBG3X7K07U9Bwy3fFo+qYiAwXpdHIf7HJHLOR+s69DpBsndiwuJeqzG33yEqtYMplG5rV+vVrrKcSG6wVm68+S+kFsxdsc6+sqM2Lrb9nbEe2tJfvusH1tGJartpVUGyqLTgG9XdSNQqVROAzPbq8Dkvcd7z9XVYToAcrhBc8C5lweeA4gra5/N9bd7ebxTZRl1bweeToSFF75f9Q6mpyFxAzmR9+lgEoe7fqLA5ACB1aojpYTbQ/Yk3LkODzXou8R5GOxJ+DNp9hoRcgz07qU6IjcSJi0mvtavV44OpxvQDSp7CHGGW+vqc10qlflx627b10e/CLgWn5+3uFkFJSSl2dNJc+sFL/DL6yowVSqV06DPX9rXxkFEaJqG1Wo/Qdljo2GJ5QDNftY+vVAVqsC0M0mNLulex3MWjeOm02elNpSA74z6l2dPAlizwJzHXT9tXSxSzvXWyxLKv4/MNDh812ERg/YofMg2X9lqJmdPznmv94mncrICE+JAGnysrozKcVEcTAH2JDDdulTS81wqlfkhukEsYXtyt8E2z+6ZLYPLmFkl5XW7p+wQV041v6sjcpVK5UTouv26IeCwW6k03KBmeL+fzbvbuiq6m9/dy+OdIquQSWp7O0yC4lhedRmzpxujisCU0GY/AhOALc5xm6cdrjkBBNabjhjj3gQm7z3OOd69O8y97F7zYtmuR1EkHaajawiqwDQB5lpED/OkplJ5DNENhsGebOK3LpV0mCcklTtKoGK3n0DFLcWS/DyBaRWVkIzzZn+3oIV33HQ15LtSqZwGIQRijLcuhn1wyK1Ullao7W8T5bwDHLqph2u7sozFrbyvcXgo9/pNNLI+XWFy3QpiRM/e7O06tDnHdU9r0BUniMBmU95b3u9pjFOEtm0P03VoGdGwr+nJ8pC3+cqHOeY7BCmlKjCNTa1frxwje7ecshUR8mGealbucLcC034CFaEPVQzb0bunsQqKE/Z6w1s0UrIeKpVK5QTouuKGWCz258pomoYY4yShsC8mrfaW9QMg4jAaLD5NRKh8zCoqq6S82pNbGcpIvGZjExV5ov9FwgrDIXsUY7U9K8LVE3FOCF3Y+0b/UEXhUjiTsD1KEeZaQPChRnr05JzJOe9N1HwqJy0wlfr1rtavV44Klzewx1M82NpOqxh78Ihuiva4L3cbbMMZFXmGw20Z91glvaX1wjKMX8VaqVQqU9DXk+9z49CHBh+aI0JzBO2QPX/+m3jQw9u8z4VlyHTJeNXu061c5s2WXX5yY6DbrNA9jU72aHMGKUJ42utDBELcXyh/z6GOtYp220KifQofvuQr5yow9VSBaQLu6tfr6UTlSLAEFvdtYNqOQT3PpVKZH0O528DwT2wZNDPWAziNFs6R1LiqY3KVSuUE6Lpu726Ipmkws4MLDU7dDaZ5/2Mg4hHbvyhwKqxicSvvd0RO8AY3Xeap8WMurNA9Ncj1aHte2shXT80/UnLaf06k954YI6qH5eAujvoNKvtzYCJSXPXPLJ45ZnqBaZ+j1E/hxAWmllK/Xmc1K8eB5G2IM3tWqm+D8w5r0Vl5H6ebvRs2TVoMh49Py6nYJCM+o174qSx8Mcu/rUHflUrlBAhh/8KH9x4RObjQ4Li5wvJ+A88BxHnEMrGrG9ZdWIa814wdgNYJjQjLoDzJlKGKC2t0r06ZrYMJwy2f9l7JGkhZ9/4a7UXh5fKwzBKl7S2C21Mh0e0DN7h8WA7MIUkpYWZ7f919jhMXmIqaV+vXK8eC0w1icc+WUzDXu1SqGHuwWAKNe1/sIb40cqYfn/Ttq5iJe26VgTIiJ8DXy7jXx61UKpW5kXMmxv1/1nnv8d4fnINJww2aA87v+ZTeecDYXH2938c9EVZR2WtNGCW78cwJm6g4//l1hAtrzJTs9uiUYetgEodcPe1wTTWgA4wq9WOtBycw6Xasb4+txrA1j+jhjQwORZ+nV0O+x6SvX68CU+VIEN0guUNlvycCJg2G4J7oUqnMD9ENYhnb880cthld+WmLm2VU1klp9myyW3jBO+GbmzrOUKlUjpuu6wZrBjrETJccblCNyB5r6AG8bxEg3Hy718c9Bbqkxa08wGu0dY5O7Umvf9ctIWd0z68NnMeaxfMcTCnTtvsd1Wua5iBdh043excfoRyIOw2g9bARisA0trgEJy8wbevX82Gd1FQqj9G3MrDnkxqkAfH4VMXYQ8XlrbttiI991+Dy00LgV0FZh8ybxX4VJhHhrBF+WNcMpkqlctyEEEgpDRLceogCk8UVquDcfh1MznsMIS6rg+m5LKNu3cr7f+xWhPDEzCEJa4gRXex5FIviYnKbpx2u5RxRY+8CU+86vLo6rAkD0fUg4mOfC+rq3h4oI3JTcNoCE/3J+2HdSCuVx3C6KR/Yg3xot3Wu+YAR7baBiud7f+zSMvi0z9FVzGSDhd//7WfhhZtQBaZKpXLchBDouo7FYs+HSZQN6xD5TkOiccne200A5zyGQ7unjYBX7igNckozgHmiF5jSE0Ili4MpYYvXe78Obc/K4z+BrAERN0hx+cGJwhpLadCeG68BkCLguVjfs3A3Ijc2VWCSptavV44GGchyWh68xdX3ysEiugFN+w9UpG/kjJA/X9e7DKVVZggW3rEcoKGuUqlU5kTXdaSU9u6GgLJZTSkdlMgkT3TQ7oJJA6mufZ7LKiqrqLzes1sZoBFBDW7i5zfPrluh0iADhBxrc44La56iGuUcETyq+18Aee8PSmAqebFpoMiGEulRJy4KVWCaCJMGp12tX68cPmZFRBho1tZcM+girjIsd4GKA1qSnxACv4o6wDlzofXCOmaSDqWyViqVyvSEEBCRQbI1Di00OIU1NmTeinhED0dsmwurqGQzzgaYkWtEUIHr7okCk9u/EAvFwYRm+MyYnJkVBxMeG0BgapqGrvv8Ad9cEN0gGrAhZAjxIC2+OpiAKjBNh7RQ69crR4BYGFQoNWmf7FKpzI/iPhtI2pEWjM+eGGU11ikPZrJbuHKq+cN6mpnzSqVSGYOu6wYLbm2akmN0KJkuqbvGNCNDWWPFIxawJ2b+VArLkAc7TGoQwPgxfP5e77oV6gcSmJpzMD4b9J1zwkwR8WgeRmBKKQ3SLDkEomtEO8y/GuTxzT29eOaYMbMa8j0Vtg0E9Omw0vcrlQ+R3nI60Nu6BucdNqLdYPqSSYOJw31GYFpHJWXDD3SzW3jBgO9Wh7HIqlQqlV0YcnzNe49z7rAEphzxA4xAAYgra59uVUdunkNxKw9zr/eUrNGrz2Uupgg5orLf8PcebUvkgLv+tFsmpYBqHkxg6l2HNzc3e3/sIZB+ckiGEf7KdFKduMg5Y0OEfj2BKjDd1q/XG0flsLm1nA70gY00YFaD8w4RDaVdcCjEgTT4+OkNyTJmghoD7QNovcMJfH1TBaZKpXKcxBgHHXtwzuG9P5jNqoYbNAfcvmvot4jzgNFdfzPI4x8jasY6KsP00Jc/rQir9GlXmQsryHkwB5M1Z+Ac7ubtJ78vpkDWhHcNaaAROeBg3rNDFhIBIE0RsU6cnDM6kfPy5AWmvn69qWFglQNH8gbRDeb23xIGZUTOxOPTp2+klflxG6jIMKd4UCzJTj/dMriKyiYq50P0FlMymBonfLusAlOlUjlOuq4j54z3+w9P7jmkVqoclpgmxO+/wALAbScduptfDvL4x8g6Kkl1mNGc7X7Zi7DOnxGYul5gGua1gQjWnuPWn3b2pxTIOeD9YpAkC+89IsK7d4cxjVPa24cb2yqRHglOPDe2F5jcUKe6n6AKTIDJos5qVg4ep5vSZOEGEhF6l0odJz047txtw21ITNrPNnKugrKOyut2uIXFWeO4ekLwZ6VSqRwiIQRijINuGg4pNNjSEjU3WM6IazwgpNV3gzz+MbIMSsiGlwEdTE5Yf87B1K0gBvRsmKwfKGNy7jMh3zF2GIZzjjzAiJxzjqZpuL4+gAgLU8SG/WzpIz1Ofb+SUkKHEno/QxWYAKTB5U+fvFcqc6fYQYf9ECnBead9InCIFIFpOHdbeZKmNNXZ4wu+5bZSeKisDCg5TDdVYKpUKkdK13WEEDg7G8iVQXFEhBAmy+94DhZXgxVHADhxGA0WDmDzPhNWMbNJA7mVt5N33kEyY/MJF5PrVpga1g73XtHm/LMCU8oRt50IG6JFDg5HFB66kAh6gQlcOu1Ij5wzOefqYJoKc81dhXelcqCIrgddZEEfnFfF2EPD5d7dNlA+F+W1IZaRT4j1q6iDjdz3tF5Yxtr2U6lUjpMQAqp6m7syBE3TkHNmvZ73gZKplniAge8rJn471lN5CsuorILyqh1gm3nrYCqPff2JoG8XVphvB3VwaHuGpA7y4zmXMW4PgMUwO3GBKW8Qi4M66pEGw+PjaUd69ALTkPeKx6gCE/dnNef/xqxUHsQU0eFaZW6Rdtv+MP9Tzcod0gcqDkgJlzfcJyzJy6CDX8fCCyEr61hdTJVK5fgYYxPZ5zvNPTQ4hSVmebC2slvEF+dF5UmsgoJA44cUmAQz4+oT93rXrdABD9agOJgwQ1YPO9zMlJwTGAiKDuRg8t7Tdd3sXYeiGyQPWEgEJdLDtbh02q7D6mCamNv69XQYlayVyofcVX4OLSJsXSq1/vOgKKNrwz5H+RwV/CONnDErISsy8OJn4Rxm8P16wNa8SqVSmYgQwuCZGv2J99XVvNfFcXOF5YRzAwtMrkEsorkWSDyFZczDSX5a/iy84ER499hIvBkS1uhQuaT95bRnpWF59fDhWkoR1bxNsDAY0MGkqrMP53e6QbTDZLixRdhOXJx4/E1KqTqYJmVbv+5PfFazcriIbnAWYUjLKU9zqVRmhuk4da1bS7J7pJFzGZWohh94I7DwgkFtkqtUKkeHqo6SjeS9x3s/e4Ephxs0B2RgEUGcB4zN1TeDPs+xUMbhB7rXbx1MzgmtF64fcTBJLGNreQwHkzjc9SOHaymQNePEDzoi573HzGbvOiyRNAMWEm0pB+LzFtuGJueMiNSQ76no69cf2xhVKnPH6Qa0Q2Ux6PP0wXmPuVQq8+PO3Tbwx70IuAU+P7y4HgyjjAAAIABJREFUWQUlJB1cYGq94AW+ua4CU6VSOS5ijKPUTosITdOwWs3bAaBhieWANMOufZwrh3fdTRWYPkfMRpcUG8o23T+sg4W4R5vkXLeCnFE/rMBkTYv5Bnf9sEkhpUBKEd+UaZkhM5hg/q7DMSIbYBt/k7tPFs8cO73ANAVVYIK7+vVYXRmVw0R0jbMOBrac3rpUTjw475AQ3SCWsKEFJrYnRo9Ykpcxs4rK63bYm513wsIL362rwFSpVI6LrutIKd1mJA3JIYQGa7hBzfADiwhu+/jh5utBn+cYWMVc3MpDbWzv6QULJ6zzww4mF1aQE9oMvC4GrD3DbR4+XIuxI+dI41tEbLAWuUNxHTrdDCayvYc0CBlJ83Z0DUkVmGaAuba2Y1UOFtENhoAbeNEpAq7F59MOzjsk5HbefdgTXtgKTI80cq62I3KD1BZ/wKJxXHene2pVqVSOkxACMcZRMjW897PPc7G0QkfYrBZBz5NW3w3+XIfOKha3cjOUW/meMWrhhE1W9IGRUdetIAb07M0w13EPbc5xm+WD/y6lEg7vtmOWAKr7d3cdhOvQMmhAZPgg8rt85dM1j6SUJgt9rwLTlrIxqsHFlcPE5Q0M3aKypdhO573orNzhdIMbIVARymvDaQD9OGB7GUro5xinKQsvpcWmUqlUjoiu6wgh0LbDOnagOJhSSqQ048KEtBrthN7wSK77hM+xDMoqKefNML8XuScoLsShBqv88f3edSsMh4wgxmp7huseFphiCtyuz7fCypAupjm7DoujPmMjyA/mWsCddKRHfsTdNwZVYOqp9euVA+Yx18gQVDH2sBDdlNKSod1tsA1tNFz+2KK9ijqSBFpymJYxz76ut1KpVJ5Dv3kcY0TOe4+qslw+vHGeGs0RRly3m3jI8928z4VVzIRsvG4H2mIq2FaoaZ1gBtfh4420dCvUDe/chm3Qd04QPn59pBTuRQ71Dqbhcpjm7Dp0ukEsDp8JCoDHxONPOF+5jsjNgLv69XneSCuVR9EIlgavoe8xaXB9cHRl9hTxcTx3Gyjugzw7M2MVdazLYOEcSY2rx+qLK5VK5QAJIYy2YejH8ObaSpW6G0xH3ECJx1kY57kOmOX2MGnQFrktCyeIwLvwscvOhRU6cINcj7ZnYIZbvb/2ybnUxN9esyhmwwlM3vvbIoA5IrlENqicj/BksnXVz/PzawzqiNwMuKtfn3c4WqXyIXchziM4VAC2IoKkmsN0CLi8Gc2YadJguI9OjDbJSNlGE0EXXjDg+1UN+q5UKsfDmOMv3ntEZLahwXFzheU0eKPeLc4Dmdid7ob1KaxCHnZzadyuJVoRnMC7Dw+TVHFhjY7h3GbrYMI+apJLKaCakW0elfQOpoHOvpqmwcxm6zoU3YAGcMNHNpQnbHAnOtaac3HxVwfTxNT69cqh4rRDNDLW29nc9r1Sxdj5YwksjtEIWxC/beR8f5G1ipmgNlzo5wcsGkGAb5ZVYKpUKsdBznnUPKS5t1JpuEFzwPnhM3YA3HYEfHNVm+Q+xSrqcGdJ98QlKC6pM+dYpvcdOy6sMFWyH2lErj0D53A37+8hU4rknJDbkTBDgJyHczCZ2Wxdh6KbbXP7iJmxJxrp0QtMU1EFpp7b+vUqMFUOC9F1sZy6ESyn9C4VwcW3ozxfZXdGd7fR39DfbzFZRmWTlHag0M8PaZ3QOOHrmyowVSqV46DrOnLO4zl2KI6IuYYG53CD5ohrX43yfLIVssLNt6M83yGySUrMA7omtgLT/cdvnbBK71uCXLeCnNFmnBE5nEf9Alm+PyIXU0fKkabZCl1iIMNmMM3Zdeh0M5qTHcqBuGgsUSInRkoJVR31fnGfKjD11Pr1yoFSwukjjBRmiDQgnuaEg/MOBZeLwATjCUy49iNL8ioo65CHC/38ABFh0Qg/rmsGU6VSOQ5CCJMITHMNDba4Qm3ArJ8PKMHqQlxWB9NjLEMmquGH+pUoHwkUC+dYf+Bgkm4FKaIjiY8A1p7jNu87h/oRucb3Qtd2RC4N52Dy3vPu3bvPf/MEFAfTeM93G3/zQPHMsZNznjSLqwpM9yj166dppascLk43RSAdcc7WZIHk1ee/sTIpoh2iG1RGEh/pWwbf35AsQ0aBhR/vlrPwwvUDwZ+VSqVyiIQQ6LqOxWK8z3PvPSHMM9ha43I7cDQOznkMj27q4dpjrKLSJaUd6kzrNiz77ksLEaIa6d44kAsrSAlbjCcwaXtWnFP3iKm8d3oRtPyPDeZgghm7DjWWciAbUWHaxt+4D2IbToGc8+gHEvepAtM9av165RAR3Yz7gQ0lOK++V2aP6Bo0jReoSN/IGSHfiUyrbavMmCy8Yxnn2aRSqVQqz6UfkWvbkcZ+KJvVlNIsN6yS16PfVxD/3r2t8j6rqKyi8mYxkMJkFBfTPRauRGdfxzvHsutKg5yMuLnW5rwITHZ3gSkF5INXqQjYgGt27/0sXYdO19vIhjEPw0ukx4fFM6dALzAV5+X4VIHpHqXOsNavVw4Is9Etp7Cda65uv9njdAOM7W4rluT7IfDLmCcQmIRNVJJOF3JYqVQq+6IXecZsBZprK1UKa0zjmHEuACXPUOcnts2FZcgkteHcyv2I3L23QOsEM7jq7hzLRWAaJ/z99tLasyIubYqLycxIKWLywatUbFCBaa4OJtENogFjxN+LeJD2o+KZU6AXmJpm3PdBTxWY7rNtiKj165VDQSxMIoiatFuXyvxuYpU7PhxVG4O+kdNtT4yyGps0vpOodYIa/LCuY3KVSuXwCSGMXjndn35fX89rXZy6a0wzbqRm0lvE4yxiE2abzJlVVAb9lfQtcvd2rwtxiMC78LGDaUy0OQcz3LKIGTlHVPPHDibsvslp7/SuwxjnFWxdBKYN5scpJOox155kpEdKqTqY5kLZGBk+zTMcrVL5kNuWsDFDnLl7r7h0esF5B4NZCYAf2zokDYa7beRcRSVlG9NEBcCiKbb571bzWmRVKpXKczGzSbKQvPc452bXSpW6ayxHnBt37SPbg+hudXojN09h8HH4fkTu3pM029bY615gShFynMbBhOCui8AUUyA/IDAN7WDy3mNm3NzcfP6bR6Q0yCnIuMKfnWikR87l/VAzmGaASYvh8LV+vXIgSN5aTkf+wEYaMMOn07OdHgrF3ZYYXWESVxo5t+LjKmaCGn7kk+aFdziBr6/nGVBbqVQqTyXGeLthGBPnHE3TzM7BlLtrLHf4ZrzAcwBxHjC6629Gfd5DQM1YRx12bLF3/nywnFg4YbV1SruwgpzJftzXhjVn4BzupoiPKQVyinj/odClmA23/e5HouYmCt8eeI592tgXz9hpxSXknEd3vN6nCkz3EQ/S1E1z5WAoltM15ka2nEqLib8dg6rMj97dNsXHfMmzKydGq6hsonLejHsdjRNaJ3y7qiNylUrlsAkhTNYINMdMF4tLsioysojgtq6Y7uaXoz7vIbCKSlLFDbmpfaBFDmDh3J3A1K0gJ3Rk8RERtD3HrYoYG1Mg5kDTfFCyIjZoMY/3HhGZn8CUt5mgI1MiPfLJlXhNcSBxnyowfYBJi+R5hRlWKo/helV+ZCsw4ooYG+s46VwR7RANqIwf8He/kXMZlHVUXrfjLywWjeOqq6UNlUrlsAkhEEKYJLDVez87gUnjCjMZP5Oq8YCQl9+O+ryHwCooIRuDniU9kl20EGGT7wlMMaKLVwNeyMNoe47ryh4yxVCc/h9k4AiG2XCGmt51OKsROdNJMkHhfqTHae1XUkrVwTQrXIM7wTCwymFSPrCneRuba0/uROCQkLwugYoju9vKk/eWZL1tkPMTnLwvvHBdBaZKpXLgdF1HCIHFYmRXBsXBFELA5jRiklZDmkAeRcRhNGic18jgHFjFzDoqZwMqTPLIL33hhGTGJiuuW5XXanv24PcOiTVnuM1WYEqPhPJvW+WGDvqekygsGvgoPGsk+giRUxOYcs6TfmZXgekDTNrJVNZK5bmIbkav6e0pwXlVjJ0rd+62kfO56C3JiuQVq6BTrCmAIjCtQhWYKpXKYdN1HWY2mYNJVVmt5nG/N1XIaz5sfx/t+cWXPJnKeyzjCG5lA3vgF986hxlch4zrlqhrJ3FvaHuGxA7LiZgey38s1695uOubn8C0QTRiMoHsIA2GP7l85ZrBNDNMmpJbUuvXK3PHcjkVmOrzQ9qyyJrTqWbllrIAnubFcd+SvIo62U2u9UJQqyJTpVI5aKZokOtpmgYzY7mcR3xE7K4xm3DzJH7ryKjcpz9MGtStrPDQqeqZCGBchYQLa3SCgzUAbc7Lmnj5Izk/VrJiYKAD5zD1ovQcKAJTwGR8ByYi7xXPnArVwTQzav165VAo4s40Ic7Qi7EZ0XksOivvM6UT07a5T9q9JWSd7Ca38OVU8+26Bn1XKpXDJYRHxm1GYG6hwam7wXJCJqrfxjWIRTTHaZ5/pixjHn41+shSonWCE+Fdl8uI3Ni5pFu0PQMMvfoB1fygvCRiGMM7mFSVzWYeEzlON2XiQsYfW4TtfiWfTqSHqtaQ79khLRj42o5VmTmiG5yl0n44AWWuuYqxs8QU0W6y8UmkwaQhbH4gqtG4aTZGCy8Y8O1N3QhUKpXDRFUndTB573HOzUZg0nCN5ohz06x9xHkEY3P1zSTPP1dWUYetoDceFZicCAvvWG42mGbyVA6m9hzEkd99S9aMPDgSpgigA+7/vfeYGdfX88gKKweeExQSbSkH4vMQ28agdy/VEbkZYdJg4mr9emX2ON2AdugUllPuXCo+1vfK3CjutilHCASkJYUlISl+QoHJC3y9rAJTpVI5TEIIqE43aiwiNE0zmwym3N1gOeDaadY+znkM6G6+nuT550jMRpcemV/bF1uBSR4Z/W9F6DZryBn1E62LfYv5hrx8R0qBpnngOsRAIOuwDiZgXgLTFPlLW0pDfDdssvqMyDlPes+AKjB9zG39+jxOaiqVxxDdIBbATWM57YPzXBWYZkfvbpskUHGLSUNKa5ZDh35+gnKqKXy/rgJTpVI5TEIIpJRwU42EMa/QYI0r1Aw3kUvF+fK83XUVmHpWMRPVcGM4mB55ioUTQuwgp+2o2jRYe07uluScHhaYtiJcHnBy33uP9342rkOna2yK2sceaRAykm6mu4YRSSmhqtPeM8Z6oouLiz8J/CXAA3/t8vLyL3zw7/894G8C/3T7pf/u8vLyzz/lZ/eNuba2Y1Vmz23GzlQiQh+cl+dxQlK5o3e3TTXvDkVgyrkjZuN8wNriz7FoHNfdaZxaVSqV46PrOkIItO00ggqUDetc8lwsLSfdrHrvyXh0/f1k1zA3VlEJSYcdh//MbXzhhOsY0RjQs9eT9d9oc0YKJe/nIQdJ/yUb0ME0K9ehZdCITFX7yF2kh0/vSO1PJruOsegdTFMyyqr/4uLCA38F+I+APwb82YuLiz/2wLf+b5eXl//m9s+ff+bP7g2TFtHTCQOrHCYub5iuQq5QbKf1vTI3ioNpaoGpJadEQ5rUprvwwrK2yFUqlQMlhECMcVKBqWkaUkqkNIPChLQeNuvnCZh4LM9g8z4TlkFZpYHdyp/IYAJYiENy5IYF4qfJ+oGSw5Tip8VYEcN02C34XEThMm2RsYnyYgHMNRgOF99Odg1jknMm53w7KjkFYx0r/wngH19eXv6Ty8vLAPwN4E+P8LO7IU1xh5zIrGblMJmyJazH+vdKZVaIbjAMJgpBhXJDDxne+GkFyIV3LKOiM6nrrVQqlefQj6Z5P93nufceVWW5nLY1NqcA2pUq+Akx8UieLnh9bqxiJqSB3cq9wPTIUyyc4FLk2r8a7hqegDZnRFPcp1q8xAZ34c1lrNXpBrHItAfiHsSfTIFXSomc86T3jLEEpt8P/PN7//zz7dc+5N++uLj4excXF//TxcXFv/HMn90bJW1ekTomV5krGsESTDnTTHGpuG2gdGU+FNFv4tcGLVHhC6adeW+9kM247mZw8l6pVCrPJIQwqQsU7kKDb26m/TxP3Q2mGTdRccQdHmdVYOpZBsXJwyNhe0O3fx55itYJXgM/TujcBojNgmxGEx8/XBMMHVgjbZqGGOPkdfWSN4h2qJxPeBFS9it5WoF8LHoH05QC01jeqYc+Dj58a/3fwB+8vLy8ubi4+I+B/wH4o0/8WQAuLi5+E/hNgMvLS968ebPb1SYB+57f+4XAm692e4xK5TM0TcNXX+34+gpXEBbQvIGzHV/n+yBmWP7IVz9p4Oz3TncdlfdJDdhrOH/Za8M7t/Pn6DKcI/5bfu18w3rXz+I9oD7xL26UtPiCr776crLrqAzDiz5HK5UReOlrtG1bzs/Pd1/T7oHz83Pevn2Lqk76fvsx/cDaAW3LYjFNUxhAWpxBt+LL1y1nr39lsuvYFy99jbqvM69eZd68GU5EUFNSk6AF5z/2RyxyYmHKVftm0tdGOH+NCJxbpnnkOqJ5RIQ3b4YTAMyMm5sbzs7O+OlPfzrY83yWd99B5+D897xotPUl61EA5AsQ49UJrBeur685OzvjJz8ZNm8qhMdF9rEEpp8Dv3Hvn/8A8Iv733B5eXl17///zsXFxX99cXHx1VN+9t7P/Tbw29t/tJ2tvBpZxMj6m39G+HLCzXvlqPnqq6/47rvvdvpZH77l/OZHTBOWplPkRSNtDCy/+WekV3UEaRZY4tX1D/i4Jr/wtObNmzc7j0R8u3Z0Ed7wlu8mHKtIWUkx8o9+/i2/101vF6/sl5d8jlYqY/CS12hKiR9//JHNZjP9eFrO/OIXv+A3fuM3Pv/NA3H17b8gbJaIaz65uRkaVcCUX/x//5Avf+2PTHYd++Kln6Pf/PCOzbpj2Q7ollmBBCm2gweepu1uWGjkR/d60tfGTc5kM9zq5tHryKkF8yyXw03KxBgJIfCzn/1s0uy0xc3XLDaB/MKpoJesRwF8zLj8jqsTWC+8fft2lHtGjI83NI8lMP1d4I9eXFz8YeBfAH8G+M/uf8PFxcWvA19fXl7axcXFn6CM730P/Pi5n907ff16Oo0wsMrhIbq1nPovJr0OkxZD8PEt6dUfnPRaKgXJG8QSxnTWWIBlEtba8ivttKPGrRMaJ/zy5vEbYaVSqcyREAI558lH5KC4XKYODdawRHOiPZvWjSq+wYDu6uujEJhewiYpMdvwr9E+FveRp2nimjNN/OAnHMUCEkYS4cuu49GOZbFBW+Sg5KaJCFdXV/y+3/f7Bn2uT+FmktNaMmMj5AB+OofbGKQ0bbkOjJTBdHl5mYA/B/xt4B+WL13+g4uLi9+6uLj4re23/afA37+4uPh7wH8F/JnLy0t77GcHvWARcAt8nnbWvFJ5jBJCn0Gma5UpF+JBGnz6cdrrqNxyG6g4YWMHFIFplT0/aaZ1DYkIZ43w46bmhFUqlcMihEBKadIsjZ5ZCExxidrAWT9PoPw+hLT6ZtLrmAPLkIlqDB6L9RmTfBtWnOfI0k0rHkTNmDjO0uMuKkEHD/n23uO95+rq6vPfPCCim6kjQYFyIA6Gy9P+fYzBHA4lRuuvu7y8/B3gdz742l+99///MvCXn/qzQ2PSILWCtDJTnHblA3sGp5omLXIiwXmHgOgGyR3ZTduksoyOhOeVdJ9dGA5N6x03oYZ8VyqVw6LrOkIInJ9P68qAsmGdvJUqrRivn+hxnPMYHuveTX0pk7OKyiYp7dAa6GfWEU1cc5YjG7cgaqKd6GWSNIPztN2n9pDlP0bVBg2sn1wU1rAtAZp+r4I0YIZL79DFcecw5ZyxiZs2p/+Unim1fr0yZ+bQEnaLa3B52ir6yh3F3ZbATdukskyC4vEkGqbdlCy8sAz6+W+sVCqVGdGPyLXtxG5lymY1pTStyJTX2NQnFj3ioa59WEVlFTJvFsMqTKKCyeO/+zasaZ3DBG4mXB8nTeA8Pnbw2CZfeoFp2OtsmmbS92tx1E8f2QBlX2/i8PGHqS9lcKZuDoQqMD1KqV8PoPXUuzIzzGYlfpq0s7qeU8f14uPE7rZlEsAhAl88nkQwCgsv25yIKjJVKpXDod8cTj3uAGWz2jdTTUEKa0zj1Le2W0x8cWicOMuQUYPFA81ue+WzDqYV3pXRxSudZntrZiTNqHjEDBcfEyANM0bJYZpSYCp5saG8V6ZGPEh7EpEeVWCaM64B9CRmNSuHhdiMLKds3X4WIdeGrjkwB7EvK2ySbBcVxpuJBabWC2rwdj39TbdSqVSeSghhFuIScJsDdX09zed52lxhmnAyk62LNDiLmJ72wcUy6PD5S1BCvj8hMrVhjXcNgnFl07xGsimKor4BjGbzsMAkvYMpD+9gSilN1qpXBKYNNrGjvsdce/TxN2Y2iwymmXxKzw+T8uHgUhWYKvNCtiHONpO3b32vzIje3TbxfmSZBDVDBBTHT2TaE6OFFwx4u6pNcpVK5TAws+kzj+7RNA3OuclCg1O4RnNE3DzWPuLKAUq3Ou3G6VXUcdYcnxCXXA5IjphraQTeTeRgiprIaqhfAEKzecztN47A1IvCQ9fVP4bTDZjCxMHrPSYNTo97rDXnjM5A9J7Hp/QMKfXrDh9P+8ZRmR+Se8vp9JkMQGmyM07Cdjp35uJuWyYhK5w5yLS8kWkbORfe4QR+96aOM1QqlcMgxjiLUYceEaFpmslG5HJ3g6WAb+axWe0Fps27X059KZOR1VinPHyRx9a99JgrowlrMCP5MxbAeuCGtsdImsmWsWaBOaHZPOKWkXIAl0ZwMJnZZKKw5M3kcQ3v0Ud6TByAPSR9wHd1MM2Vvn491k1zZV44XSPaYW76Vhm4C85zqYqxUyPbQMWpP9pXSQiqvG6URMOCacf2Gie0Tvh2WTP1KpXKYdAHfLuZOHZg2tBgi0vUFPHzEJicL0Xc4ebria9kOtZRSdlwQ29mP6MHtHENqsS2CEyriUbkoiaSZhrXkPyCpns8gwlgaKOJ935S1+EcIhvuUyI9EnLELqbewVQFphlTwouPe1azcnjcqu+umfpSCuK2YmwdkZuaPlBRJ3a3LaMjq3HeQDbP2cQCE8CicVx383EDVCqVyqfouo4YI00zk3s904YGa1xizCPwHPrxIyGvv5/6UiZjGTNRjcE1UOOTIlMTVqCZ1L6mFdhMZFBJmgHDO0duFjTxsbXPOCNyzjm899O4Dk0Rnc+IL/SRHuDSu4mvZDhSSlVgmj2uwR15GFjl8CgnAvN665prcVWMnZwyPjl9oOIyCQvJiECmYUFgeA/9p1l44SZUgalSqRwGIQRCCCwW83DswJ2DyaYYMUlrbOqAwXuIOIwGjdOWWEzJKirrqJw3A69J+4DvR379bVyj5lDfsgAysJkghiZpor/I9AmBSbZFvzawwATlPbvZjH/IJ9pHNsxnv9JHi7gjnk7KOc/C+Tqf3/oMqfXrlTki2mETb9Y/pLxXjtdyeig43SBm4CZ2MCWhdUXMSTQIyiumCZnsWXhhWQWmSqVyIHRdh6rOzsFkZqxW4x4omSrkdbm/zQgTj5xwg+4qFIHpdTvCiNwnBKYmrIjbYO2FlG+9nmBMLurdGiP5BT5F0EfWHWKjCKZTjbWKrhFL2FxaHwGkwfD4I4706AWmqe8bM/qtz49+VpNcRabKTLCMaJhVZh4A0mxH96ZvLjhlivg4/YvjJgpnrrwWMg0ixhumDfpuvRDUWFWRqVKpHAAhhMlPoT+kDw0ee+QmdteYZWROm1Uoax87XYFpGcv91A/9Ov2MwNTGNckX53bx+wnvRhaY1Ixs9wSmphz0Nd3DYqygqA6/XvPeE0IY3XXYRzbMppAIim3Mtfgjbr1OKZFSum0QnIqZfVLPi75+/ZhfiJXDQrQDS9jM3rpFjNWaWTYxc3BchgxRob0VmDyG8AXTzrwvvAOD71c16LtSqcyfEObXeum9R0RGDw1O3Q2W0+S5Ih8hHrFETvP7XY3BKuo4B566/fPQc5nRxPXWwQQt4DDe6bjr5KQJtbsjvtQsAPtkkxwjtN01TYOqsl6PO2XgtCuRDTKPQqIek6a02x0pfYtcFZhmjG3r1136YepLqVSAIiA4S6XlcEaUEwrD1aDv6dgGKk49QLBMQjZYbEfkMh7F86VM+9pYeMEwvlvGSa+jUqlUPoeqzlZgcs5xfT1u7pCGazTH2+a2uSDOA0Z3/c3UlzIJyzBSmPAnHEw+bUqD3NbB5ARagevRBaZcWg63fx9pO7LXbB5z+xk2gsDUj7WO7ToUXZffl5vffuWYIz1yLmvvqcX4KjB9ir5+PVaBqTIPnG5AO1TmE/oJd80Mvr5XJqO42zJTz0/eNsi5flxSyDS8kukzmLwIv6wCU6VSmTkhhFk0AX2IiNA0DcvluJ/nubvBcsC381r7yNYlsLn+euIrGZ+YlZC1tBoPTf8UD+xa27AGVVJzV26yAMaWEKImomaa7Rin+gb1/nEHE4aNMCLXZ/GM7Tosjvp5fX7B1sF0G0B+fKQ0D6dnFZg+hbijn9WsHBaSN4gFmLgl7CO2wXnuiIPz5s5c3G3LJIRsvGnu8riSNZwxbU6FE+GscbxdV4GpUqnMmxACKaXZZTDBNKHBGldl/GjiAosP8b4FhHDzy6kvZXSWUYlqeDfCZvYT8Z5NLAJTbO5GsRbAZuQMpqSZrJnG3bnsPt0kN56DyXs/usDkdDOK9vhspEXISJo2F3Qocs5VYDoETJpav16ZDbcZO7MLuhRwC3w+zg/sQ6C42zaTu9tuoiCmLPzdDS7jOWP6mffWC1ddDaKvVCrzpus6Qgi07bwEFSgb1rEFJkvLUTbjz8V7j+HQ9em5t1dBCUnHEZg+IVS0YQU5k9pXd18T2BjoiAJHsozw/mhS8gua8Njap1ycDnyRvetw1OZHS6BxFkLHh9zlK0+bCzoU/Yjc1Mxslzo/jn1Ws3JYON188kY7JSU4r75XpkJ0jbMAMq1q7ESEAAAgAElEQVS7bZWk5C/dW1dkGhoijmkDthdeWNYWuUqlMnO6riPGOEuBqWkaYoykNN7nuaXV5OPfjyIey6d3EL2MmVVSXrfD/15EBZOHF79NXJNc+17WT4nXFpYjrpejpo9eo6lZ4NMjYqyU1PIxmuSapmGzGe+QT3SDWMZm+J4112A4XDzOiYs+5HtqqsD0OaTZZpvUU+/K9IhuZrvIKnPNVWCaCtFN0R4nDlS8SY6Fe//zMtEgGK+Z1uG28I5VVHQGN99KpVJ5jD7ge+omoIdomgYzGy2HKadQMlNmerpm4pE87Qj4FKyiEpJx3oywlfyMg+l+/hLAQsqPXI84Jpc0f5RHlZoWlzMSHwrsL8nlY+Qwje06dHmDWGSeMoMH8fj049QXMgh1RO5AuK1fP8HTicrM0FhspzO0iUNx+zkNoLUGfgpEp1/gmhUHUyvvu4QyDYjxhnGbhz6k9UJW42pTX6OVSmW+hBBmsUl4iF70GquVKm2uMZ3HpulBxG8306fFKihORmqr+oTA1MQ10b0fDVD624x3IwlMedsg95GDyZfrasIDe0gxzBjNwZRSGs11KNohukHl/PPfPDYiZb+Spy2eGYqUUnUwHQKlfl1xRzqrWTkcnG4QS9jc8pd6XAMoLtdQ/Clwec3UjR2rJKhZGZG7R6JYkn/CtJ+jCy8Y8P26CkyVSmW+jJ1x9ByapkFEePdunM/zFG7QPI9mpAdxHiET1tMeoIzNMubxVhzGgyKTaKZJG6J/38HUUDa473Sc9XIJ+FaEj0fkwGjWH4sZ0mcwjTC1770f1XUouimHzXMrJOqRFneEExf9eNwcPitnulOdDyUMTGr9emVyRDeIBmymb9s+OM/V1sXxuXW3TXsZqyRkhTP//oUYjoznjZv2tbHwZfn3zc3pnTZXKpXDoHcazOEU+iGcc3jvub4eR1DJ3TWWO3wzz82qk5KT1d18PfGVjIeZsYojRYcYoA87pZq4xsxunUI9ImVMbjmSwBStOJjcB9eY/QJEaDYPCTuGCOQ8joNpdIEJ5hvp4Y4zMzalhKpWgekgkKY0yaUqMFWmpQhMHeZfff6bJ8CkxXD4Iw3OmzNy626bNq9jmYSYjXP38cIz0XLOtDf01gmNE76uAlOlUpkpIQRyzrPMX+pp23a00GANS3JOuJkKTOI9YHRXpyMwbZKR8kgC6KfG48Ia1IgPvDYWwHokj1XSRNRM80EGpjlH9u2jI3IAOoLA5L0f1XXodMPUjvpPYdKWsdYjy06rDqZDQgSkxefTsr5W5ofoBiyDzK9VBgDxIA0+Hmdw3pxx2iE6faDiMgpRldftxyvCbJ4zpr2ZiwhnjfDjpjbJVSqVeRJCIKWEc/NdonvvxxOY4hKzkbJ+dsD7MukQl6cjMK1iJqjRuBF+J8qjIlMbV5ATqf344HUhsB4pszRuM5j8AxEWqVnQhIfeK+MKTN57rq7GcZGXQqJRnmonbicujmxvn3NGdR6lZPO9e82IWr9emQOub5Cb6SILtqcCWgPxx0Z0jWiHumkDFZfJ0YjyUKlMpmExscAEpUnuOtQMpkqlMk+6riOEwGKx+Pw3T0TTNLdNd4OTVrONBoAyMmh4LJxOPMAyKpuktM2IAd8PPFUZkYPcfrz2aYFoMMYkX9KSEfaQCJqaBU38eO3TL+fHCPmG8p4dJdtNQ4lsmDPSgBnuyA7Ec87knGdxODH9FRwApX59nJOaSuUxDuI16BpcbVwcHdEOLIKbdkOyTMLigfE4KEHfnkQ7scjUemEZ5nHCU6lUKh/SdR0pJdp2pm5liiMi5zzOhjWvmDxg8DOYeOyEDqJXQVmHzOt2hG3kNoPpIdqw3uYvfSzSlHht4f9n721iZMvW9KznW2vtnefUqbrX1752u+W2JVsyg0YyDCwzAAl5YrmZeJayQUhIWC0jeYoYIDFh4qkHBmQ1DBhZOQBkiQbsGULIwhhhZBsMVhvk7nbVvVV165zM+Nnr5/sY7Ig8p05lnvyL2GvviPVIoaqTGRmxInP/rPWu93u/6wlcTFnvDzzPvsenYWyz+wMMm8hlFUKYxHV425CIcPT3ei4mHSYOn08r0mMvMM2hvLoJTI+gtV9vVMdsFm3oH2J0MC1ACDsx5uJuWyWhl7vLzwoeEXhDXUty74UhK6k0kanRaMyPGCPOudmWhMH70OCbm5ujvk+OG0xz7Vvbg5j4cZ1wJqxTodjoCD46+xK5Ox1Ma5K/e2Ot3z3/2o47RjMja8HuEUFz6BAzfPyhACkyncDkvZ9EEL5tSFQ5E/STiBvjb06sQ/xeYAqhvrjXBKZHYG5fq3k+9tfGvBAbxvylORc1s3P7WYbSRKYpGfO56l7Oi8K2CN09DqbCeB39fAYCkxp8u2k5TI1GY35M4gp6Ifsd8mN3ksvbd5hm3B3ZNnNCJCCWsCl6zs+AVVSmiF8CRnHJuHPF2sU1yd0d/t4BgvHdkTvJZSsoitwzPx8dVkYY7nL3KzbRXlcIYRLX4W1Donv+LnPBXHdy8Tc55+ZgWhTSAYpLp6V0NpaDlO04eZn5KbsPzvO5ibGTYbYLVKxbQrDKgprRubsn2JmA4vhC6ta8d95hwNfr89ltbjQay8DMpss2egEhBJxzRw8NzsM1WhIyhVPmBYjbdZJbn0fH6XXS6bY7dff46A1diUjJ5Hu6CwYZH9fHFpi0UNTudZDnMJbwhc3qh9+c2MFkZqxWd4zjgLiyBdPqkQ0PYRJweloCUynj/LtlMC0EkzC2Xz+xWs3Gcri1nM7+gt2BgcunFZw3Z8Tizt1Wl1UWisLrexxMIGQ63shxSyoeoveCE/jqOlUdR6PRaHxMSul2kTBnRIQQwtFL5Eq8wXLE+Xm7IfYC0/btP689lKNT1NjkCY/R/d7ZRyvWEDegRvrEsdED6yNLYVkz2cqdHeQAiu8wJ4ThLmHHsInc5/uyqWO7DmUf2TB39pEed2ZjLZNSymxKq5vA9Bhu2683B1OjDk63SBkwmfckCwmYOFxqYuxUyG2gYl1L7Co5oiqfhfv93oXABXV3jIITOif8fN0y9RqNxrwYhmE2JQ4PMUVosMYb1BTn5xt4DuD8uHiP119WHsnx2SQlF8NNVSN3z/q/SxswvdfBBKPAtDmygJO0UDQT7sscEhmDvoc75j5iMKGDaQrX4SjaHPUtDsIY6VGQE3Ix5TyfeW0TmB6JuQ7R49oKG437GIOzDVz94LZPIg5ch891c3bOCSn7QMW6E/DRwWS8+sQhWszTV+4iB3ARHNfb+bsEGo3GeRFjJKW0CIHJe3/0cj7La4y727/PifHvJZTt6W+urVIhqk2XwXTPnlWIa9BM6l7f+6O9wNaOa1LJu9wt/4mypBJ6QvqhGCsYduTx7XHOHd91aLqIhkSwq7jAcCcU9D0n92sTmB6LdLgTCwNrLIdRYJr3BGvPWNd8V5hh4xiM5ZNbzL2qOo5VHjvIfWodkAn0ROS+GeNEdF64TvO5ETcajQaMAlOMkb6fdzk8jA6mYRhQPd713PJ6ERUsIg6TgKa6JeBTsE7KNimvwjRLSLnH4dPFNQWPfcLd1gGFUWQ6FlkzD83Pc+gJ6Q7hZZedOVXQt/f+qK5D0V1DopmH8sM+MxZ8Op3ctCYwLRCT0NqvN6ohOmCLEZi6k7Kczh2n+0DFuu62VRL6ewK+9xQCgvKKugJk74V1nM+NuNFoNGAskTOzWbSZfoh9aPBmc5z7vWkZHbpHefXDYwSkLMO98RLWUdkk5bNuuhI5u6OJSUgbsr/gU+JOL2O11rsjlsmlR3QOzL7H5wQ/eO74ubRM87vci8LH4jayYQECExIwPO6E8pVbBtMCed9+vS2cGxNjBdGIVO4S9mj2YuxUWzJnzih817+Ur7LQ3xvwPVIIiBhvqFtC2XshqTWRqdFozIoY42wWCA8RQsDMjlZyk4abUWRayO8D8YspD3oJN+nhkrCDotyZ6dPFNcl/2uk3fle4PpLApKYUKzwUOpTCOJIwfLy5ZmBQdLocphgjdiRb4OioH6pHNjwKkZOL9Mg5H+1v+1Tqr0oWwr5Ws7Vfb0zNKNZkbCGn6yjGKlJamdwUiG6r5ykOBZJC94DAlPEYwufUvY723qEGX7eg70ajMSOO6S44NN57RORoocFluMY0L0tgIlPycXOparNJOm2TsLsmOGaEtCU/IDB1gMN4q8eZP2ctqBnygM+uhB4wwvb782IRwwCbSGAKIaCqrNfHmZ873eJ0wKRuZMNjMQlIOY3qJFU9arnyU1nGinUG7Gs1W/v1xtSIDjjLi6hphr0YqycVnDdbdu622qyyUAx6+bQjSPEoni+k7rHReQGMr1ep6jgajUZjj6qS0nKuScfuSpWHa7TE2w5tc0ecB4ztu69qD+WorKJOJ/oZdwpMIY0u+eQ+3VnZCXQC10cVmPRBgSmHDhDC9mO3nyLAVNE5e9fhanWcplWi27Epnpt/kwI4rUiPUgpmNhtBfhkr1jkgAcPhTigMrLEM3C7EWRe0IwByUsF5c2UMVMxMu534Q1bJUYrxyj+0eyJkAq+lfgaTF+GrJjA1Go2ZEGOcVYbGQ4gIIYSjuSE0rtAS8d38A88BZNf5L96crsAUixKLTtP2DG4Fpo8FnJA2oEoOnxaYYCyT2xwpyStpJmkhPFAuqC6g3v/AwYQYCOiEJXLHdB0uqSER7POV4xhMvnByzqhOKP4+QBOYHstt+/XmymhMi5QtWIIHdmpmg4Sxk1xuAtOxEd3u3G11d4tWWYhqvAkP23OLBS6oa0l2IlwExzebJjA1Go15MAwDpRTcVNk2B+CYocGaVpgJ4haQ5wJ4P7pUhhMWmNZRSWp4N7GD6aO36+IaVEnh4Y3XHtje04nupWQtqBbCI5qsjJ3kPp77jEJdmaha/9iuQ6fbRXR9vEU6BEVOIIeplIKqzub+MY9RLASTDnciVrrGcrjtXjgTVfpBREA6fDn9dr21cboFHVCpu8O7SoKY0vuHj9FC4IL6OSO9F66H5e9aNRqN0yDGSIyRrluGoALHFZgsr9EjCQPHwHuP4dDN6XSl+ph1UmLW6QSme/asRgdTIXevH3yJTmBroEcQPrKVUf96xPw8h54Qvy8w7X9sKgfTUV2HlkHTYpYqAOYCp5KvvBeYmoNpgYxhYE1gakzL2IZ+HheMxzKeKy3k+9iMLWEjSF132yoLF748yhmd8QQSjrruoc4LqzifQMRGo3HeDMNAjJG+X0ZJGIyiSkqJnA9vwbC8Rqq3sHgaJh474XXCKhVWSfmsq5vB1KU1WbpHZf1cMCYd3RzhUEpPCKHPvifkH7q3RQyOlBF1F8cShcf5aMEqO+qfgknAEFxavihcSqGUgvfz+P03gekpSEBsaO3XG5MiullSSTOwr2s+jc4Mc+b2d1w5UHGVHZ087rpYCAjGG+o63HrvWCdFF+XnbjQap0qMERGZTYnDY9iHBt/cHPZ6XnKEEhc390E8Uuo7dI/FKipZjVdhomNUd4+P3i7EDekR+UswOpgAru3wY85a7u5yd9dzQ48URdJHx4cYNuEmsvee7fbw83NXtoglYB4Cx6OQAOIJJxDpkXNuAtNSMenG9uu5lf40JkLTGD63OAdTh9MI2trAHxNX6gcqmsE6C517XLlZIYDMQWASihpvt+0YbTQa9RmGYTblDY9lv5g5tMCUt9eYPd4dMhvEj67iE2WdCsLjSsIOwj0ZTCGtye5xTr8eEIx3etiFd9l1kHvsFCz7cbxh+L67X7CjlO/dRwiBnPPBXYeiw64h0XIcmAAm/UlUXDQH04IZu2MZriy/VrOxDJxuEcuYLOtU3dc1t3PluMzBJbbOgprRy+MEpszYkfML+e7II/s0nRcM45t1E5gajUZ9YlyeMBFCOEpXqjy8wxbUUe8W5xGUuD7Nuc866bR5oHuB6YMpsGgh5IHkHydkhN2Pf3fgMrSshaKKe6TClEMP2J2d5GyiDCYYRWFVZbVaHfR1RbfjpvhSGhLtkXAS+cqlFMysCUxLZBSYwMflW+kay0B0i2jElmQ5BZAOUFxqXRePhqYxVLFyhdcqC1nhwj1uIIaj4Hkjdbt29F4QhK9uWie5RqNRl72jwBZWsuucI4TA9fVhr+cl3mBlwD+yDGouOOkAY3PzZe2hHBwzY5102lysOxxMIW0wM7J/3LEhAr3A+sCVAMkKxR4vgpbQgQhh+7HbzyatUghhXMse2nU4ijSynIZEO8ydRr7yMXLwXkITmJ7Crv26L01gakyD6AbRAfMPt2KdE2NwnsPn5QfnzRW5dbfVzl8SclFehcd3ZMt0vKbuDb1zQnDCz5rA1Gg0KhNjnFV5w1MIIbDZHPZ6XuIKLRm3NIFp9/eL735WeSSHZ5OVXGzaTa19tOMHmkUX16D26AwmGMvkNgeOE8iayap0j8zANHEU3xPiR+eK6OQZTCLC27eH3QAeHfXLEpdgH3+TYOHZaWVmjs8mMD2FXft119qvNyZCdBgzmGQ5bYsBEA8S8M3BdDScbhFN1L6Mr5OQ1HgTHv8zxTw9dW/mIsJFEL4b5rXr02g0zo9hGMg5Lyrge4/3/uBdqSytUJsw6+dAOB8AIa9PT2BaJyUWJbiJS+Q+IqQNlEzuXj/6ZXqBzaEdTLsMJveECIscOkL8frSBMIZ8T2Ve9N7jvT+461B0WKK+9EH8TV1X/Usp5fGbvFOwvDtZZcb268u30jWWgdPtTthc3lXbXIfoYWu8G+8Zyye3qKvrbltlRxDFP+FuUgg7galuOUjvHTfDvG7KjUbj/IgxEmOk75cVkAujgynGeNjyvrxhiUuUUSD0WDy9DKZ1VLbZ6MKE89E7mtN2cY0ZlO7xc58eSAbpgE3As44h9E8RQXPoCR93kdvNg6Ysjw0hHLaTnMYxsmGJCpMEMMOnurmgL6U5mBbO2H69CUyNaZBSP8T52UiHa2Ls0RjdbRke2UnlWKyy0D+yg9yeTMBT6Cq7mDovrA4542w0Go1nsHcwdd3C3MqMjohSymFdTGWN1Q4YfCYqHjvBuc8qFTap8Fk33dJRTDD5/nEQ0mYX8P34xfSYjCVcH9DFlPXpm1PZ9/g0gH0w79h9Pp0w6DuEcNDzdd+QaImygkmHicctPNJjH/I9F5Z3JFTmffv1ltvRODKmiC23JngUY5c7/rkzF3fbKgm9PE2kKQREjM+pH/Q9ZCXmJjI1Go16xBhxzs1qB/qxhBAws4N1pcrDCtNc+9b2fMSP64QTYx0VZXT+TsZdJXJx8+iA7z397li6tsOM3cx2AtPTFvQ59IgZ/ntlcoYZaJnu9+q9P2jXyn1DIpUnZCXMBXFjpEdedqRHznlW948mMD2R9+3Xl12r2Zg/YnHMX1roaWoSdsF5p7eTNwdEt5N2HrmLrLAtQvdEB1PZdUV8Q90ygt4LavDtpm0YNBqNegzDMKvd56ewDyY/VGhwHq4xzU/KtpkVu7mPPcPhMmdWSacvgFJ+oOF0aU16onN79DsZ3+lhjqlsBUWRJ/5GchjHHYb17ddk52CyCfe5QgjknA/mYtpHNljlyIbnYq5bdPyNmaGqs7qHLPTqXZFdC9LWfr1xbKSMIc42I0X6KdjuXPH59LIIqmM2CkyVD411FtSM3j1tZpQJKMKPpO51tPcOM/h63YK+G41GHcyMGOOsdp+fQggB5xzv3h3mXp+Ha7Qk3JROmQMizgPG5uab2kM5KOtUpp9yfLRedjkiJZOf2F3QC3QC14cSmLRQVJ/sIM9+LIENmw/dfuOHLGXaErlDug5d2YAZuOWV+MK4Ie50/fATZ0opBVWd1T1kmVfvirT2642p2FtOTZYX+gn7zgzg8rKD8+bIe3db5fK4LGQ1Xj1RYAIh0/GZ1A2B77zgHHx10xxMjUajDiml2QW0PgURIYRwsMVqiSssR+SJZVBzQXaVDvH6q9pDORhFjW3WaVOxdu6lD8+LLq1BjfSMY6MHVgeaMyXNZCv4J7rsiu8w5wjDB+eKGCLTCkx71+GhROGxg9wyr18ASLfLNZ2PA+gp5Jwxs1ndQ5rA9FRu26+3RXPjuLi95VSWOcliJ8a69IvaIzk5ZBeoaJUv4avkSGp81j3d210IXFDXkhyc0Hvh56vmYGo0GnUYhoFSyq4D2TI5ZGiwxpux/btfphvC7Rbv8frLyiM5HOuk5GK4Kdev9+QvYfpkBxOMQd/bA2UwjQ6mQhD/tB8UGTvJDR/OfXYh3xNWVHrvD+o6HCMbDvJSVRgjPQqyUBdTczCdCGP79WUehI3lILoLAXQLDM2DMTjPdYsPzpsjY/lk3JUh1mOVBVXj1RPnWADFPH3lLnIwlsldD6eVldFoNJZDjJGU0q2rYIl47w8mMFleYzyt/fucGP+Ojrw5nRK5dSpENfyUCpNxR/7SBkomda+f/HK9wMYOY1LJOm5K+WeIwtl3hI9CvmHaLnLOOUII3NzcvPzFTBEdlqwv3UZ6uIWuV/YC05xoAtNzaO3XGxMg+y5hC2bsutjOlUMzlk9uqgcqrrLQSXnWYZoJ9ESEujfFzgs3qQlMjUajDjFGhmHg4mKhbmVGB1OM8SCLHMvrpVaqACDiMPFYrlsCfkhWUdkk5XWYcNm4D/j+YH4R4poiHnuGu63fveT2AMdWeoHdKIcen9+LsWMzYMMmLJGDw7kOx9Ky5Zb4wvtID7/QiotSCqWUWW1SNIHpGYzt17cPP7HReAFOt1jlLmEvpZ0rx8HpZpx4VXa33SSh98+baBUCgvKKupPw3gvr2ASmRqNRh/0ib06Lg6eyDw1er1/m7jcto0P3QOOqhRGQcjpzn3VStll53VVwMH3wll3akP0Fz8mf7GR8uXcHKJPL+vwMzFFgSt+viRPDJj7qD+U6vI1sWGrXR9hFevjFRnrknMk5E8J8Kl4WfDTUY6zVzK39euN4WAGNt+1LF8teYJqy/+oZIDpQO+AbYJUdvTzvb1sIiMAbDmDRfgG9F5IaqyYyNRqNCiy5g9we7z1m9uKSmzTcjCLTwn8fOI9orD2Kg7FKBex5JWHP5g6BKcQ1yT+v8c34U8L1CwUmNaXYCxxMu/GH7XsxVrBJS+Tgvevwpa3tR0f9sNy8WBhtZK7Dl+vaI3kWewfTnASmyUZyeXn5Z4G/CnjgN66urv7KR9//t4D/YPfPG+Dfu7q6+vu77/2/wDVQgHx1dfUnpxr3XXzYfr34p9cBNxoPMe4IlOohzi/FpENMkbLCwhe1h3MyiG6r17sPBbIanz25g9xIJmDAF7zla375sIN7Ar13qME368ybfrkOgkajsUwOlV1UkxACIsK7d+/4g3/wDz77dcpwjWlevsAkHiGT45bQ1y1lPwTrqNMnNujusV+pmhHSlux/9KyX6wCH8Z2+bF6dtaD2fL9RCT1ghO2K/NluXiwGE1cseO9RVdbrNW/evHn26zjd4mwgu+e/xhww6RbrOiylYGazahQxyUguLy898NeAXwN+FfgLl5eXv/rR0/4p8K9fXV39CeA/Bv76R9//01dXV/9ybXEJPmy/vkwrXWP+ON0ilsag7AUznivLDc6bJVYQjdXjuVZZKAYXzxSYFIfi+VzqHhu9F8D4+ep0dpsbjcYyUFVSSrWH8WKcczjnuL5+mQMgD9doiTg/n5345yDiAWN787PaQzkI66TTe6Y/cjCFNLrhk3ueg8nJGPR980KBKe06yMmzS+Q6QAjDh/EANnkkxr6s9aWuw3HD08Ate4NujPRYZmVSKaOjbk7C/FRX8D8F/JOrq6vfAri8vPwbwJ8D/tH+CVdXV//zB8//O8CvTDS2p7PwWs3G/Bm7hA0UWfbO121wXvwF5dV8T+klMQYq5urutlVylGK86p5rFRcyHa9lXbW9beeF4ISvVrneIBqNxlkSY6SUMqud5+cgInRd9+IMJo0rtETCq2U7np0PWIJ4/RX83j9SezgvIhYlFmXysvz93tXu1AhpDark8Px5cQdsXvg5smayFcIzBRV1AfWBsP1IYJq4RM57f+s6/KVf+qVnv86Ys7rs6xeMDiavb8eIElmWWJbz/FyfUx0Rfwj4Zx/8+7d3X7uPfxf47z74twF/6/Ly8u9dXl7++hHG9zTEgQv4/K72SBoniugWNIJbcE0zjGKsBHxpYuyhEN3iLFe/Ad5kIarxpnu+OlTMc0Hd8hAnQu8d366X7yJoNBrLYhgGSjmBzCEOExqsaYUZOPf0LmFzYnRgCenmq9pDeTHrqKRi+Kk1hI+mFl3cgCrpBQJTL7B5oVMoa6GoPltggtHFFOL7ciyR6R1M3vuDuA5dWX5DIgAkAIrk5eUwzfEeMpWD6a5Pfeeq5PLy8k8zCkz/2gdf/levrq5+9/Ly8g8Af/vy8vL/urq6+h/v+NlfB34d4Orq6kU1pQ/zOb03PvvpT4/4Ho1TJoTAT+87fr79Z5Bew+vPpx3UUficvi+8aefKYVitYXAgvwe6z476Vt65e6+jeuPoQuLNq/7ZG5tir/jMNrzp6tbuf7Eykvj7z8fGbPnkdbTRmAGfOkZTSnjv+fGPf8zr18vO9Nxut6xWqxedj+v/rxBdR98/rwxqTqw3AdGbRVyfPnWMrn+xwV9s+cIrb95M93cp20LpCq4fla3XJDxgr988W9x5XYzvCviuxz9z3mJxFGdCeL4Iqv1r+hxvj/MsHszz+vVnODedUPDmzRtU9fnHqCaI/bgZ/uq487hPzUcPQnZgP+f3fS7wxfzP2Q/5nd/5HS4uLo6se/yQGO+PlphKYPpt4A9/8O9fAX734yddXl7+CeA3gF+7urr6Zv/1q6ur393992eXl5f/NWPJ3Q8Epqurq7/O++wmW62O1/7ax4LoL7j++uujvUfjtPnpT3/K1/ccP6/e/YywHShat4X7IQixYOlbbtq5chC69ZdcrN9Swu+DeNzj482bN9x3Hf3musdrIqbnZxdtgVds2MTvUOrtWGuOfLO1e5sX2PoAACAASURBVM/Hxnz51HW00ZgDnzpGv/rqK96+fctPfvKTe6+1SyGlxGq14ssvv3x2N6Pt6hdkzZ9cuCyFYg5bv13E9elTx+jvfLPh67c3/OjCsVpN5/SVjWDZkLgTXNbvGMxRFNDnleZ7BVX4xRD50TMdWds4oFoo5fll9VE8F3F9e5xrgVI6rq/XTNkIrJTCd9999+xjVPINr2/eIjmhpd589CBYoUuZ4ee/xTD8+HjvcwR+8YtfMAzD5PeQT+UHTmV4/LvAH7+8vPyjl5eXPfDngb/54RMuLy//CPBfAf/21dXV//3B199cXl5+sf9/4M8A/2Cicd+PhF0WSmu/3jg8ots5dKE/CEsOzpsjYjtbdeUA+FV29PKy618Z9yN5w8tCJl9K7x3rpBSt3Zuv0WicEzFGRGR25Q3P4aWhwSVHrMRTmfqMOYm2fKFstSuRexUmnnN8dDsOcUMKL4uN6AQM4VpfUN6m5cUd33LokaJI2peUjonmNXKYXlLW+r4h0bIyi+5EPIjH5+9qj+TJ7EO+58QkV4urq6sM/GXgfwD+z/FLV//w8vLyL11eXv6l3dP+I+D3Af/J5eXl/355efm/7r7+S8D/dHl5+feB/wX4b6+urv77Kcb9KUw6BEVy3YVR4wTROIbMncha16TDaRqttI0X48qW2uqjGqySENzLbmqZgIjxhro1770Xihrvhhb03Wg0pmMYhpMQl2BcrALPFpjy9hqz+YXVPhvnEV2+wLROBScVOlT9IINpTfYvE5h6QDDe2vOWv0ULavriKVgOPWB0wy4UXwwz0IkFphACOWdyft7cR3RsSKSy/JJWAJMeKS9rVDA1ZkYpBbN5LRonM+JdXV39JvCbH33tP/vg//8i8Bfv+LnfAv6low/widy2Xy/vKN2Pag+ncUKMOwIZO4UdAcDcGJznyjXqfm/t4SyesWNHXTZZMIz+hQJTIWA4vpC3fFnx3tj78fN8s8785PWyw2UbjcZyiDHObmHwXEIIiAhv377lV37l6V1j8/AOK3nSDJpjIi4gRYnrd/SfLXedsE4KNUQ/5VZkEs34MpD8yzJmAqOz4q0+T2BKu4Bv99JOdH4UZPx2BZ//BNl90GdW/j0b7z2qymq14sc/fnpZ2NiQKEO38IZEeyTgFiYw7cWluQnzy+8rWAlzHSD42LpjNQ7LuCMQsen03+MiHWC49Lb2SJaPJrD8Ynv2S1llIStcvLBEznBkAp9LfQeTiPDVTXPZNRqNadg7B+a2MHguzjlCCM8vkYs3WIm4F7pU5oK4cSN6c/Nl7aE8GzNjnRSZWgQdK8Zuz42QtpgZ+YUlciJwIbB+5hwqa6ZYebHeVkIHIoTtLjNHDBEoZXoHEzzfdeh056g/kWuYuW4Wm7hPoZSCqs7uPtIEpmfjMfGt/Xrj4IwC0xY7kUmWyehS8fnb2kNZPHLrbqucv5SEXJRX4eUZdIXAK+pmdAUnBNcEpkajMR0xRkopOHc6U/EQApvN867nJa7QknEvFBHmgtt1Okvvvqo8kuezyUouFRx2d5THofriDCaADlg/04GUrZC10LmXbQCbOIrvCfsSuVsH0/QZTHvX4XNYmhjzECZhzJQqz8+lmprmYDo1RMZsmdIymBqHxel2DI93p1HTPAbnBXxaXnDe3HC37rbaAd9CUuPNAUx2xTw9dW/mIsKFF962DKZGozERwzCQUjopgelFocFphXIagecAzgdASOuf1x7Ks1knJRYl+In/Jh+UxwGEtIFSyN2rF790L7B9poMpaUHN8O7lERY5dIS4F2jGDzu1g8l7j/ee6+tnuMjNTqohEXwQf5Pf1R7KoymlnG/I98mywFrNxvwRHU7qgg1722k7V17KPlDR/Ouq41hlRyeKP8AdJBPo2VI71b73juthfjfpRqNxmuwFpr4/kc0kRgfTc3OlLK+rl38fEuccJh6Ny40HWEdlm41+aoFpVyK3nwt3cY0ZlHAAgQlIBvEZBuyshytpzaEn7LrIya7KbOoucjCes9vt051IYruGRKe0YJEOzBbVSW5fIrdvsjAXmsD0Akw6ODF7YKM+MoMuYQdHOlypWwZ1Cohuxxu61A2iXiWhe2HA955CwKN01L2Wdl7GMNNGo9GYgH2JXNedTmMB7z2llGctWCkbam80HBrD7+Z0y2SVCqtUeN1NvFy8w8GU/NgD7qWMqaDC9TPEzHzAFO7se0IexooF2HWSW5DAtItsOCUpwSRg4nF5OfE3OedZllrPazQLw1zAaWzt1xuHw/TkapphV9d8gp9rapxu3291VWSVhf6FAd97CgER5XPqlhv3XhiyEnMTmRqNxvEZhgGR0ykJg3GxamasVqsn/VweVpjm2re2wyMe0Vh7FM9mFRVsdPhOyt7BtHvbLq7JB8ol7XfH2Dt72mcyM5IWDiWC5tCDgd/lMAl1BCbvPTE+/RjdNyRSOZGGRADixkiPvBzX4b5Ebh/YPheawPQCbms1y3JqNRvzZpyIKKd2ao7BeXm3Q9l4LnMQ6bLCUA7nYMp4QHhD3eto7wU1+HbTNgwajcbxec6ibu7sFznv3j3tep6273YC02nNfdiFBtvU/ecPxDppHdHvoxK5EDckdyCBiVHMeadPO9ayFYzDdevKoQfsgxwmvTUzTUkIgVLKk7PTpOwaErmXly3OCXPLqrhoAtMpsitTae3XG4di3BFI2Ilt45mMpmS/oOC82WE25nNVZpUFNaN3h3MwKcKPpG7Ne+8dBny9bkHfjUbjuJjZSQpM3nucc08WmEq8QUvCTe2UOTLiPGBsr5cZ9L2KpU5gg+4eAi5HRPNOkHk5XqATni4waaGoIgf6jYyfRwibndtPDHuiq+oQ7F2HNzdPc5E73SJm4E6nxBfG9cqSMmP3Ad9zc8Ke1pV8Ysb264JfUK1mY97sLacmpxP6CXu3H4uqa54bYsMsAhVXSchqXBxIYAIh0/GZPK2k4tB0XvACX900B1Oj0Tgu+/yluS0KXoqI0HXdk0vkynCD5Yj403JDiAsIxnDzs9pDeTJFjaFonVSs/Zs66NIa1EgHKpGD0cW0fuJcKmkma8EfyGVXXMCcI2z3wk69EjngyZ3kRAfs1PJiYXQd6gfZWDMn58MFzx+SJjC9BPEgHT61RXPjMLh9lzA5rUkWEjA8rp0rz0bKdrTaV75sr7IjqfF5d7ibbyFwUTnkOzih88LPV01gajQaxyXGONuFwUvx3j+53EbTCjXFh9NyQzjvMWC4/qr2UJ7MOim5GFM3kAO+H/Ad12BKDocTmDpg+0S3UNZCsUKQA3XrEhk7ye1L5MSqdZF7jutwDpENx2CM9CiLcTHtHUxzowlML8Rch5RlHISN+TNesBXcvNpNvhhx4EIrkXsB791tlTvIZUHVuDjgIVoscEH98r/eO94N87xZNxqN02EvMM0tN+MQPKcrlaVVFffGsRndIY6y+ab2UJ7MOhWiGqFGd6oP9q+6uIGSSd1nB3v5XmBjYE+wZ2XNY+74AX8f2Xe3ApPsVLWnjOkQiAghhKeVyJnuHEynxz7Swy1kvdIEphPFJOB0OWFgjXkjuh3FmBPEpGvnygtwukXKUD1QcZXGgO9DbrxnPB0Roa4lufcyds1pNBqNIzIMAzFGLi4O58qYC957UkqoPuFaWjYnuVgVcZh4LNXtkvocVlFZJ+VVN73wJx+IjSFtKBIwfzgxtmfUsDZPOOiSHj6PKoeekHeba7ITmCoFfT/FdTiWkJXqHY2PwT7SYynVSXMttT7NleyU7Gs1G40D4HRzkrt4sLOdLqgzw9wY3W0Gru6O9yoL/YE6yO0pBBzKK+rmMPVeWKd57gY1Go3TIcaImd3mn5wSIQRUlfX6ce5+0wJle4ppLgAYYZHlRKtU2CbldVdhqWhgO8GlS2uyHwOxD0UnYAjXTyiTy5oPOgYYBSaXE5TMvi5QS50cpqcJTFuc5dPcEL+N9Pi29kgeRc4Zm9r29ghO8MiYFpOutV9vHAYroAmR+V0oDsLCgvPmxjhBrT8FX2VHJ4f9GxYCCLyh7i5v5x2xGKvYRKZGo3E8nppRtCT2otljS27ScIPpaeZRAeA8osvrGLhOigCuxt9Fuc1hCnFD8odtfLN/tbePFJjUlHKEueu+M14Y1qODyaBUymEahuHRrkOnW9AtKqfnwEQEXIcvy3AdthK5E2W00hk+v609lMbCEd0iVrBDBQjODJMOQZG8jIv23JhDvfu2QFajP1gHuZFMwIAvqHsd7f2YgvD1OlcdR6PROG1ijCcrqIQQEBHevn3c9Txv32FacO40fx+IRyjkuKyN6FVUqv1J9pMdU0LakN1hhYwOcBhv9XHL4KwFtcP3TBudWUbYrhEMgypB3957zIzN5nHH6OhginCKAhO79coCjCOllKeVIk9IE5heyPv2699VHklj6Tgdu4TNwaVyDPZirCvLCM6bFVYQjdXL3VfJURQuDlwipzgUzxdSX2AC4+er5e02NxqNZVBKIaXT7VbpnMM59+i25yXeoCUilcu/j4WIB4zt9c9qD+VJrFOps6llvHcvpQHMDu5gcjIGfa8eKTAlLRQtuAMvm0cHkxCGG2B0jNUwpIQQMLNHuw5Ft6McdmoNiXaYBGQBmbGlFMzsoMHzh2J+I1oau1pNv5BazcZ8kbJFdEClbojzsTDXAYKPywjOmxOiW7CMVb5kr7JQ1Lg4sIMJhEzHK6nbkbPzQnDClzenu/hrNBp1iTFSSpnlouAQiAhd1z3aDVGGUWBy3WFFhLngwtj5dbj+qvJIHs+QlVQMqbHhuROYBCGkNaiSw+HnxR2wfuTny5rJVvAHPmfNeTQEwnZXIid1SuS894gI7949bgN4LpENx2JsShTH6JIZ0xxMp4y4sVZzIe0MG/NFdAsa4cBW4PngMfH40gSmpyI67AIV6+4WrbIQ1fi8O/y+ZjHPBXVzSZwIvXd820rkGo3GkYgxknM+WYEJxgXrdvu4YGvLK8zAue7Io6qDcx4Q0s1yBKZNUmIxfI1DdJ+/JNDFUWBKRxCYeoHtI5vqZC0UVcIRHDvZ94S4a+ICaIXph/ce59yjBSZXtnCiDYmAXTMdRfLjXJi12AtMc7yXzG9EC6R1x2ocgnFHwJ1k208ARMZdgYUE580Jp1tEt6jU3eFdJcFR6I6gc2UCF9TvtNN74aaFfDcajSMxDAMxRkI4zZIwGEtuYnxcqbGl9cl2z4V96LlDh+VEadykQixKqBHCtN+/EghpA1rI3REEJmAwKI/YL0uaEeEouWk59IQ03E79tYKDSUQIITyu86NlsHTKBqbF5CvnnFHVWeb5NYHpACylVrMxb9wC29g+GQm4UrcMaolI2Y439MrutnUW+gN3kNtTCAQynrrlab0XVnGeluNGo7F89g6mi4tTdSuPokpK6XFZU2Vz0otV2C1Y83LmPuuorKPyWVdJYNrdgru4Jrv+KFk//e6tVo8QmLIeb9Mp+46QtmCGiGGPzIU6NPtOcg8hZYtYxjjN/CUYS+QMN/v4m1IKpZTbzp1zoglMB8CkG1uQtvbrjRcguj2DSVYH5yCkHRjZ/86kdgaToztwwPeegkcwPqOuw63zjk0qFK3ds6/RaJwi+0XcHHedD8VjQ4NLHrASqd4i9cgYHrRuCfhTWCclqXERKsw5PiiRC2lDCsdxbvcChnCtDy/OsxWONUHPoUdUcXkAsWpuvscKTO8bEp2whCAeJOBn3sCrlELOuQlMJ4sEhNLarzeej8bRdnriCpO5MAbnaQtRfgpOt9Un4GpjiVx38IDvkUwAMd5QN8+u90Ix+G7bcpgajcbhiTGetLgE3C54VqvVJ5+XNu8wy0iNUqwpcQ5X2Z37FFap4I5UEvYg+y5yAl3ckI/k3B7bzhjf2aeXwkUL5YgGgrGTnBGGDYJhleZ6e9dhzp+e+4hukTKg7jQbEu0x6ZDy6etXbZqD6cRZSq1mY76MOwKnbTmF9+eKKy0U/ymM7ra6E/BNFgw7aomc4fiR1L2O9n78nN+0oO9Go3EEYoxYrVXkRIQQEBG+++7TDoASb7CScScuMIkLYEpcz9sRsWcdK+a63HaRy/gykNxxHEydgAfePVCSlnQXpHyk30f24+cL29XoYKqQwQTcZsI95DrcdzXmSH+X2eACbub5ynsxsAlMJ8rYft3hUuuO1XgeoltEE1a5S9jRkbFLjEtNjH00mnahinUn4KssZIVXRyqRMxyZwBup27Wj94KI8LOb5ew2NxqNZZBzJud88g4m5xwhhAcdTCXeoGXA+dPNo4KdwISxvZ5/JzkzY52UalaaXYlcSBvMjByOd2z0AqsH5lZZM8XK0eoLcuhABL9dAfVK5Lz3jyprdfsNzxO/ho3xN/OO9Chlvg1pmsB0EHbt1/O8w8Aa80V2XcKscojzsTEJGILPTYx9LLfuttr5S0lIRXkdjmcVLwReV+4kF5zQOeGrVROYGo3GYRmGYbYlDYcmhMBm82kHgMYbrBTcEUWEOeCcR4C4AIFpk5VcM4Nw99Zd3kBR0hGPjQ7YPCAdZStkLXTuSF0fxY2d5IY1iFbbTNy7Dt+9+3SFgcwgsmEKTMKYNVXmm51WSpntZkUTmA7Bvv26zrtWszFfXNmOIfGnbjkVD9Lhm9vv0YziY8QqX65HB5Px+oidtYt5usoCk4jQe+Fty2BqNBoHJsZISmm2i4JD4r1/MDTY0hpFTv734fy4uZZWP689lAdZRSUVJfiKJXJAiGvQQupeH+2teoHNA4JO0oyZ4Y/QyW5P9j0hbncZTFLFPLZ3HV5ff8JFbjaLyIYpWEL8TXMwnQMy/1rNxnw5lws2jCWlUpbTrrc2o8A0YP54k6zHsMqOIIo/4l0jE7hgoPb2WO8dN3G+N+5Go7FMhmEgxsjFxWk7dmB0RDyUN2V5Xa0Sa0qcc5h4NM0/f3KdlE02+loC084k3aUNZqDHLJEDskH8hDE7azl6/50cekJ6P/epldH2kOtQLIIVas/RJkE6MHAz7iTXHExnwFir2QSmxvM4F8spjLsCrp0rj2Y8NsptflUtbpJwcaT8pT2FgKPQV3Yx9V5YpeOVAjYajfMkxoiq3gbqnjIhBEopbLefuJ6XhwqUTgfDQ5l3pgvAOhY2qfBZV2eJKCaYGCGuSf6CY6o7vYAhXH/CxZS0HHUMMOYwhTwA4xxLKwV9P+Q6lDNpSAS7SA9xuBlHejQH0xlgLiCaWvv1xtMxRXS+Nb4HR8J5fd4XMpdAxVWWo3WQ21MIiMAb6gZ9d16IWYl5vjfvRqOxPPaLt7nuOh+Sh0KD87DC9IxKkcXjNNYexYOskmIG3THtyp/iAwfTvsPasdi/+ju7+7Oa2ehgOjLF92Dg4wYDtNT53e9dh/dxG9lQecNzEsSBBPyMXYc559l2JG0C04EYT7bWfr3xdER3ltPKIc5TYdIhlqGVlD4KKVuO7s9+gKwQC3RHdjBlxl39N9S9jvZeUINvNme0+Gk0GkdnGAacO497/d6ldV+mS9q+wzSfze8DFxCLaJn3fWWdtO5+lo2PEDc7B9PxGHuAG2/1bkdOtoKZTlIiB0ZIGzCwig6mUsq9LiYp+4ZEryYeWR3MdTidZ6SHmaE6X6f9mVzVJ0DGG6lL863VbMwT0c0suoRNxRKC82aDGWL13V6rLBSD3h3bweRRhB9L3WOj9w4Dvl7NeyHQaDSWg5mRUprtjvOh8d7jnOPt27uv5yXeoCXhajllJkZkFDGGm68rj+TTrGrmD+7EJV8SovnoDiYvEATe3SPoZM0UU9zRS+R6QAjb0e1Xq/IphPBJ16HTLZjBsTrqzYw5x9+UUlDV2bphz+OqPgG37ddbd6zGE7kNcT4Hyyl7gWnewXlzQWzYBSrWZZWEosbFkQUmEDIdr6VuR87OC17gq5v5lzM0Go1lEGOcdSjroRERuq5jvb7bAVCGayxHxJ+HG0JcQDCGm5/VHsq9ZDWGUtEVsReY8gBqR3cwwVgmd18SWNJC1oI/8gZwcQFzjrC9RgRKqedgAnj37m4X+RhvcR7XL2AX6bHr8j0z9uVxc72fNIHpUOzbr7dFc+OJuFuB6TwmWUjA8Pj0be2RzB4pW8QSJnUDFW+yIxXjTXf8m2wh8KpyyHdwQueFr9fNwdRoNA5DjJGc82wXBMfgU6HBmtaoKT6cx+aa9x4D4vWXtYdyL+ukpGK4Wofoztw3loopKRx/XtwDm3symLIWihXCsedgIuTQ0w3j5toEsU93EkL4pOtQdHMu/YiAcUNcTGfZ+bqUMusNiyYwHZDWfr3xHES344aAO/2uDMCYNeU6XG55ZQ8hukVK/UDFdRaKGRcTHKLFAj31ywJ773g31HePNRqN0yDGSErpLDrI7Qkh3NtFztIK+0T3rlPDeQ848uab2kO5l3UsxGJ0tXKx9vlLeQslk7vXR3/LTmBrY+XXxyTNGEySE5ZDT5fGciyt5GASEUIId7sOrYyZsWfEOPdW3AwjPUopsy63bgLTAWnt1xvPQbR+iPPUtHPlcbx3tx3fJv4pbpJw4cokwZ+ZQEdEqGtJ7r1wE+dni240GstkGAZSSlxc1L2eT4n3npTS3WG0Z9boQ8Rh4rF0d77NHFgnZZOVV12lOakyCkxpQxGP+eNvrvW7t13fsVbPWiabnWffE9IWEasW8g33i8Kiu8iGmTpmjsEY6SH4GeYr55wppcx2w6IJTIfktlZzvopiY3443Z7dIWMSdt3RGp9iFB/rByqus9AfuYPcnoLHobyibg5T74V1mvcOUaPRWA4xRszsNufkHNiHBq9W37+ea8lwhnMAI+xybObJKhWGpLzu6jqY+rwiT5C/BNALGML1HWVyWTNTbQDn0OFKRjRjFTed7ytrFR1wlsZImHNhF+nh8vwiPUop5Jxnez9pAtMBGduvl9kmzjdmiGXQdE4bAsC+M8Mwy+C8OTGWT9Y/OFbZ0ck0f6tMAIHPubu19VT0fsydai6mRqNxCIZhmG1exrHw3t8pMOV4g+l55VEBIB6x+ZYZraMiAq7W30XHR5dWkwR8A+w9Uu8+EpjUlGI7S9UEjJ3kxoBzrexgijH+wHXodAM6oHLczn6zQgRcjy/zcx3uM5iag+kM2Ldfn2OtZmOeiG4RK9iRO1TMDgkIBcnzu2jPidHdVncCvi1jZ5n+6B3kRgoBA76griW584IB32xa0Hej0Xg594VdnzIhBETkB6HBeXuNaZkk22ZWOI9YIcd5bkSvUuUNFQPMCGlDdtMIGT3gMN7q94/FpAU1Q6ZyMPkeMFyqO+/bi8If5zCJbnE2QOXIhqkZKy7ml6+8z2Ca6zV0nqNaKPsg3iYwNR6L23UJg3laHI/FXoz17Vy5Hys7d1vdEq1VchRlshI5xVMIfCG1HUzjBO/nq/nuNjcajWWwL2c4N7z3eO9/0Pa8xBu0RFzl8u+pcc4Dxvb6Z7WHcifrVOp1kIMxESAnsEIK0wgZImOZ3M1HAlPWTNGCm2ipPDqYBJ9WUFFg2pe13tx8fwNYdDuW7p1LQ6Idto+/mRn7+8lcXaBNYDokrf1644mIDohu0XPbEXAd4HDpF7WHMlvGPLeMVb5Mr7JQ1Hg1kYMJRhfTK6m7Y9R5ITj46iZVHUej0Vg+McZZt5Q+JneFBpdhFJikO6NyG0B2odXD9VeVR/JDhqzEbHVd0wo+J8SUFKY7Nnpg85FTKWshW8FP5BAx59EQCHFTNeTbe4+I/EAUduX8GhLBaB5xGkHntUEw9/tJE5gOiQi4Dt/arzceiegWNIE7L4EJPCYen5vAdB/vAxXrC0xRjTfddE6qYp4L6u4YORF67/h2Pa9JRaPRWB4xRnLOsy1nOCbe+x8ITJpuMOPsHEzeeUBIN/MTmNZJSWr4mhYmGzOIUCWH15O9bS+w+UhYS1oopoQJHTvZ96PAVLlEzjnH9fX3XeRzdPFMgtvF35R5re1Lmaaq4Lmc353uyIy1mvOsrW7Mj/GCLbMIcp4Ukd2uQMtgug9XNogOqLyqOo5VEhyFbkJXdCbQUz+vpPfCTZz3TbzRaMyfYRiIMdL35+XYgdHB9IP8qbyuni9YA+c9hkOH+W2urVJhyEqtBnLAKDCVAbSQu+nmPh0QDcoH+2hZM8K0JUg59IRdd0XVOvEIIkII4fsZTJrGpkRn2FR3jL9R3MzMI01gOjPGWs0mMDUeh9PztJwCIAHXxNh7ER1AY3V32yo7+ok6yO0pBAIZT93ytN4Lq9ZFrtFovJAYIymlsxWYcs6k9P56bnlztlMfkzB+/pmxjsomKZ/19ZaGooLPA9l1INPtavWMDexuvicwTb+Az74jpA0Y1TvJfSgKjw2JMjbh32QumAQMN7v4m5zn3YWzCUwHprVfbzyFsQ197VHUwaSDc7XcPgLRzVgeV/kGskpCN1HA955CQDA+o67DrfeOTSqUSjuJjUbjNBiGARGZ9YLgWOy7Uu1Dg3PaRQOc7WXVj+uEmbEvkds3uKiCQUhbkp/Wud0LgHCt7wWUZHnysO0cLnAlISVXzWH6WGByukU0cZaygXiQgE91Oxt/THMwnRsSELS1X288TBlGy+mZYi7sgvNaiPJdON1Wn4CrwToL/YQB3wAZD2K8oa4lufdCMfhue77naaPReDkxxrMUl2BcrALvBabtNaYZV7VdWUWcx5EwnddG9CoVRCp3pTIIaUPy0zr9OkAwvrNxWZy1oGaTbwDn0CFWcCVWdTB570kpve9UptuxIZGrG9lQi9E8UrfxzIeYGaUUzOar0jeB6cCMtZqt/XrjEZTNaDnlvEIu9+zPlbkF582FObjbVgkUq1Iipzh+JHV3jDovGPBNC/puNBovYBiGWS8Gjsm+K9Xbt+O8uMRRYJJzFZgkgClxM6+5zyoqrvakoyi+RPLUApOAB97pBwKTKm5isS2HHrGMy6lq07IQwvdch2NlTgZ3fiW+ALgOV+YjMO3FpTlvWjSB4VMIqQAAEaVJREFU6cCYG2s13cxqNRszpGwQjWdZ0wyMkyzAzcx2Ogs0gZXqDqZVEkqBfuISOcNRCHwu1w8/+Yj03iECX900l12j0XgeKSVKKWfZQQ7AOUcI4bYrVR5u0DLg/bl1zx1x3gPGMKNOcmbGJilWc9Jh4FNCtJAqHBu9wHpXEpc1U6xMLrhl3yEUXI6Uyg4meO86dLplZ2+rNqaajPnK8ylrLWUUQJvAdFZ4aO3XG48hrxHdYmdrOQ0Y0s6VO3C3gYp1L9E3CZIqn4XprfyFwKvKneSCg84JP1s1ganRaDyP7XZLKWXWi4Fj82Gmi6UVVgoSzlRgch4B4vV8BKZ1LGQ1qprKFFwe84dyhWOjBzY7QSlpIWshuIk3gMVRvMfnhJa6GUwfug5Ft5PnUc0Jk4BYgjKP3Ni5l8dBE5gOz779elnVHklj7pQNmIHrao+kDuJButkF580B0Z27rXL55E0SshqfVRhGtkBP3Zu5iHARHG9bBlOj0Xgm2+2WlNLZOpjg+wKTphVq5xl4DuD8uLmWVj+vPZRbbmIhFcVXzl/yKSKaSd3ryd++E9jsHUyWMTP81AITUJzHl0SpKDDtXYc3NzdgNovIhpq8j7+ZR1lrKWX2rtj5jmzJSMDp/FqQNmZG2Zyt3XSPuQ6ZUV3zXNgHKtrEnVQ+ZpWgE6XGPazg6RmoXSfYOeEmzrtbR6PRmC/b7ZYYIxcX5+nYgbHk5jaHKp/3Pd85h0lA0zwWqwCrIbPJSh/qCkyuJDBFKzmYskHUMYOplqBSQo8vQ9UucjCKwpvNBrE4RjacscJk+0iPmVRc7EvkmsB0ZoyL5iYwNR4gb2qvnatjTYy9k7GDnILUdbfdJJk8f2lPIeAo9NQ9PnovrOK8uv00Go3lMAwDqnrbTe0cCSGgqmy3212ZyfkuVmHMGZxLuQ3A9ZBZJ+VNV3FZqGMGU3aBGsdHL2AI1+ZIWk9QyaHH5zhqOhXZi8Kyj2w4Z8lA9vnK8xCYcs7knGd9Tznjo+V4vK/VnE8gWGNmmILOZ3JRDQm72u4zV9o+QnQY5zaVHW6rJJN3kNuTCYjAG26qvP+e3gtDUba5uZgajcbT2W63iJxvSRiMi1Uz490vfo5pPnd9CcTjNNYexS2rODYVCb7istDGDKZcoSwNRgcTwNu9g6kSYye5gqS6x0cIgRjjBw2JzjTOA0AcuK6VyD2B+Y5swbxvv163A1JjvogOoGW8aJ0xJt14I20upu8hM9jhTQpDMbqKDiaAL6h7Q++8YAbfbloOU6PReDr77KFzZr/T/vbbLzHNdcOk54ALiEW0zOO+cjPk2vtZo4MpJ0qlXNIOcBjfFcNMq03Bsu8Qy7ihrsDkvaeUQt68Q3Rztg2J9ph0OJ1Hee++RK45mM4NCWCGS29rj6QxU0S3oKl6l7DajHXNhsvtXLnFdDw+KrNKQjHoXR0HU8FTcHwhdUPge+8w4OvVPBYCjUZjOZjZWBZ25njv8d6zevc1miN+xgujKRAZXTrbm68rj2RkFetlDu3xKSFFSb7OseEFgsC7ohRTfMUSObGCxLrda0MImBlx83bXkOi8z1nbV1zMgJzH+eicXbHnvbo9EiYBE4fP39YeSmOmiI45BCb9w08+YfaW2yYwvUc0Akrt2d4qC7koF5UcTCAUOj6Tuh05ey94gS9v5lPO0Gg0lkGMEdWW4SYiYw5TvMFKBHe+gecA4gKCEa+/qj0UshqbVJDKSQUuDmCFUiHge08PbLSQteAqbQCr70AUSXU3tfbumGH9HU0u4INIj/rX81LKrMUlaEfMcdi3X8+t/XrjbtytwHTek6wxOM/j0ze1RzIbxg5y9d1tq+yIxXjT1Zt1FjwX1C0v8U7ovPBNczA1Go0nEmMkpTTrrIyp8N4TJKFq+HDGeS7sMqmA4frL2kNhnZRUDFd5wRpiREohVRaYohaKFYLUyYICUHG4Ujf30XuPc460eXvu/YiAfaSHzqLzdal8bDyGyfxul5eXfxb4q4AHfuPq6uqvfPR92X3/3wDWwL9zdXX1vz3mZ+dI6yTX+BSi2zHAuVKY4WwQ2QXntbyyPaPAFKu721ZJMC28qniIZgvVBSaAC++4jvO/oTcajXkxDAMxRrruvAUVGB0RgYjVrsWaAc6PJeC6rV/psI6FWBRfORjLpYhoInc/qTaGXmCleawIqygKqxNEFbN6vV5EhL4LlPQW5Ed1BjEjPoz0KOHzqmNZgsA0ydlzeXnpgb8G/Brwq8BfuLy8/NWPnvZrwB/fPX4d+E+f8LOzo7Vfb3yKudTxzgGT0MTYD3C6RbS+u22Vhc7VC7qEMeg7MCDUtSR3XriJ9W3RjUZjWcQYGYaBvj/vcnh472BqbggQcZh4NNXtkgqwSsoqZl53dQUmnxIKmK8nxnaAWSZXdnOp87iSqdjMDoBXnVFyonZkwxwYBSbwqb4onHNuJXI7/hTwT66urn7r6uoqAn8D+HMfPefPAf/l1dWVXV1d/R3g91xeXv7yI392fkjX2q837sXpFmzeF4epMAmINcFtz634WDlQcZ2lWsD3noLHYbyifg7TOhasXc8bjcYT2HeQ8/7M3cpACJ4g9bN+5oIRxo7ClVmnwpCU113dMk6XMlo5GqAXEC0M1D1fi3eIKTbULc0fBaY4Rr+cOxJG88gM4m+W4GCaagXzh4B/9sG/fxv4Vx7xnD/0yJ+9k9/4b+qpjD99s+KP/J41+g/+82pjaMwXJ8bvvn3Dl9f1Jxe1+eUvNvzyj67R/+M3ag9lFogYN9vA//N13Ru6Ilxo5B9XLFF73Sf+2B/Y8sfsN7GKkYH/AsLWHP/wb0vbx5sZIm5sKd1ozBADfmwOv/ms9lCq88oymwL/9N0vc53/QO3hVOf3vzZ+8vo7fvG36s59BPhTBhdWOWfwM8MujN/b/dNqQ1Dgj34xnreuopOqV3itCbe9hqHerONCt7zdwn/xm5GsdZ07It9Vv9f/i78U6cM/wvjHVcfhMH6/dYRvf1Z1HK8/sVkwlcB019nx8bDue85jfhaAy8vLX2csr+Pq6op//z/8954yxkaj0Wg0Go1Go9FoNBrAn6k9gMbimGpL+LeBP/zBv38F+N1HPucxPwvA1dXVX7+6uvqTV1dXf/Ly8vLvMYpT7dEes3y0Y7Q95v5ox2h7zP3RjtH2mPujHaPtMfdHO0bbY+6PdozO+vEDpnIw/V3gj19eXv5R4HeAPw/8mx89528Cf/ny8vJvMJbAvb26uvrnl5f/f3v3H6tlXcZx/I2AiIJtyVBSnNSoZViW2tzKam6w0ga24pqjGUvKH+G0ohal1vqjbJmWbRWJCVKmXiktayZLNrTC2bJh8cNNM02ECSUFY4WCpz/u74nDGQfPw3Pfz3mO5/3annHzvX/wfbbPrueci+/93LF9EOdKkiRJkiRpiHRkBVNm7gWuAFYBm6qh3BARl0XEZeWw+4CngCeBpcCnDnVuJ+YtSZIkSZKkV9axxxRl5n1UTaS+Y0v6bPcACwd77iDc3OocpQ4zo+p2ZlTdzoyq25lRdTszqm5nRoeRUT52WZIkSZIkSe0Yuuc+S5IkSZIk6VWhY7fItSsibgU+CGzLzBll7G3AEmAC8DTw0czcGRFjgVuAd1C9xxWZeV055wxgOTCe6ra7q8rteVJbaszoGmAK8J9y6VmZua2Db0WvUi1m9Ejgh8CZwMtUtXJNOcc6qkbUmNE1WEfVgIiYCqwATqDK3c2ZeVNEvBa4CziFKqeRmTvKOV8EFgD7gCszc1UZt5aqdjVndA3WUtWs1YxGxHHA3cBZwPLMvKLPtayjXWY4rWBaDry/39gtwOLMPA34OfD5Mj4XGFfGzwAujYhTyr4fAJcA08ur/zWlw7WcejIK1S9Qp5eXH+Sqy3IGn9FPApTxmcANEdH7mWEdVVOWU09GwTqqZuwFFmXmm4GzgYURcSqwGFidmdOB1eXvlH0XAm+hyvb3I2J0uZa1VE2oM6NgLVX9Wsoo8F/gWuBzB7mWdbTLDJsGU2Y+BLzQb/hNwENl+zfAh8t2D3BMRIyh6ma+COyMiCnAsZn5cOlsrgAuaHzyGhHqyGgn5qmRq8WMnkr14U75gfJfwJnWUTWpjox2YJoawTJza2b+qWzvonrC8YnAHOC2ctht7K+Lc4A7M3NPZv6N6mnJ77SWqil1ZbSzs9ZI0mpGM3N3Zv6OqtH0f9bR7jRsGkwDWA/MLttzgall+25gN7AV+Dvwrcx8gSq4m/ucv7mMSU1pNaO9lkXEuoi4NiJGdWy2GokGyuhjwJyIGBMR06hW2k3FOqrOazWjvayjalRZefx24BHg+MzcCtUvT8DkctiJwLN9TuutmdZSNa7NjPaylqoxg8zoQKyjXWi4N5guplpS9ygwkWoVCFRd933A64BpwKKIeD1wsKLoPZpqUqsZhWop8mnAOeV1UWenrBFmoIzeSvVB/UfgO8BaqiXN1lF1WqsZBeuoGhYRE4B7gE9n5qFWIA9UM62lalQNGQVrqRrUQkYHYh3tQsPmS74PJjMfB2YBRMQbgfPLrnnA/Zn5ErAtIn5PtWz+t8BJfS5xErClczPWSHMYGX0qM58r5+6KiJ9SNaNWdHzyGhEGymhm7gU+03tcRKwFngB2YB1VBx1GRrGOqknlQR33ALdn5soy/HxETMnMreW2jd7vqtnMgSvremvmZqylakhNGbWWqjEtZnQg1tEuNKxXMEXE5PLnEcA1VE+ZgeqWo3MjYlREHEP15WGPl6V2uyLi7LLE82PAL4Zg6hohWs1oudVjUjlnLNXTlNZ3fuYaKQbKaEQcXbJJRMwE9mbmRuuoOq3VjFpH1aRS934EbMrMG/vsuheYX7bns78u3gtcGBHjyq2c04E/WEvVlLoyai1VUw4jowdlHe1Ow2YFU0TcAbwPmBQRm4GvABMiYmE5ZCWwrGx/r2yvp1o6tywz/1z2Xc7+Rxn+urykttWR0fLL0qryQT4aeABY2rl3oVezFjM6mSqLLwPPceCyeOuoGlFTRsdhHVVz3kWVtb9ExLoy9iXgG0BGxAKq/0SaC5CZGyIigY1Ut3AuzMx95TxrqZpQS0b9mVQNaimjABHxNHAscGREXADMysyNWEe7zqieHm9TlCRJkiRJ0uEb1rfISZIkSZIkaejZYJIkSZIkSVJbbDBJkiRJkiSpLTaYJEmSJEmS1BYbTJIkSZIkSWqLDSZJkiRJkiS1ZcxQT0CSJGk4i4jbgT2ZeXGfsfcCK4EZmbl1yCYnSZLUIa5gkiRJas+VwHkRMRMgIo4ClgKL6mwuRcTouq4lSZJUt1E9PT1DPQdJkqRhLSLmAt8EZgDXAKdn5gci4ghgMbAAeA3wAHB5Zu4o+xJ4N3AUsK7s21Su+RPg38AbgHOA84EJwPXASWXfDZn57Y69UUmSpAG4gkmSJKlNmfkz4FHgDuAS4NKy67NUjaH3UDWFdgPf7XPqr4DpwAnAeuDH/S49D/gqMBF4GFgGLMjMicBbgQcbeDuSJEktcwWTJElSDSLieOCvwNWZeVMZewL4RGY+WP4+FXgSGJ+ZL/c7fxKwHZiQmbvLCqYX+3230xbgy8BdmbmrE+9LkiRpMPySb0mSpBpk5vMR8Q9gQ5/hk4FfRkTfZlIPMDkitgPXAR8BJgG9x0yiWukE8Gy/f+ZDwNXA9RHxGPCFzHyk3nciSZLUOhtMkiRJzdkMzDtYEygiPg6cB5wLPAMcR7WCaVSfww5Yal6uMzsixgJXAXcC05qZuiRJ0uD5HUySJEnNWQJ8PSJOBoiIyRExu+ybCOwB/gkcDXztUBeKiPERMS8ijs3Ml4BdwL7mpi5JkjR4NpgkSZKacyNwP7A6InYBa4Gzyr5lwJby2lD2vZL5wDMRsZPqyXQX1T5jSZKkw+CXfEuSJEmSJKktrmCSJEmSJElSW2wwSZIkSZIkqS02mCRJkiRJktQWG0ySJEmSJElqiw0mSZIkSZIktcUGkyRJkiRJktpig0mSJEmSJEltscEkSZIkSZKktthgkiRJkiRJUlv+BymQBzZrrROZAAAAAElFTkSuQmCC\n",
"text/plain": [
"<Figure size 1440x720 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"\n",
"### type your answer here\n",
"df_can.sort_values(['Total'],ascending=True,axis=0,inplace=True)\n",
"df_least5 = df_can.head()\n",
"df_least5 = df_least5[years].transpose()\n",
"df_least5.plot(kind=\"area\",stacked=False,figsize=(20,10),alpha=0.45)\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",
"\n",
"\n",
"\n",
"\n",
"\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",
"\\\\ # 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": {
"read_only": false
}
},
"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": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"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,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"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": 13,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"text/plain": [
"Country\n",
"Afghanistan 2004\n",
"Albania 603\n",
"Algeria 4331\n",
"American Samoa 0\n",
"Andorra 1\n",
"Name: 2013, dtype: int64"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# let's quickly view the 2013 data\n",
"df_can['2013'].head()"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"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": {
"read_only": false
}
},
"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://s3-api.us-geo.objectstorage.softlayer.net/cf-courses-data/CognitiveClass/DV0101EN/labs/Images/Mod2Fig1-Histogram.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": 15,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"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": [
"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": 16,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"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": null,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [],
"source": [
"# let's quickly view the dataset \n",
"df_can.loc[['Denmark', 'Norway', 'Sweden'], years]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [],
"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": 17,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"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>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": 17,
"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": 20,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"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": 21,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"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": [
"# 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": 22,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"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": [
"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",
" 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": 25,
"metadata": {
"button": false,
"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_t = df_can.loc[['Greece','Albania','Bulgaria'],years].transpose()\n",
"count,bin_edges = np.histogram(df_t,15)\n",
"df_t.plot(kind=\"hist\",figsize = (10,6),bins=15,alpha=0.35,xticks=bin_edges)\n",
"plt.title('Histogram of Immigration from Greece,Albania,Bulgaria foe years 1980-2013')\n",
"plt.ylabel('Number of Years')\n",
"plt.xlabel('Number of Immigrants')\n",
"\n",
"plt.show()\n",
"\n",
"\n",
"\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": "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": 18,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"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": 18,
"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": 19,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"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": 22,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"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",
"execution_count": 24,
"metadata": {
"button": false,
"collapsed": false,
"deletable": true,
"editable": true,
"jupyter": {
"outputs_hidden": false
},
"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) \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()"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"**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."
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"editable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Step 1: Get the data pertaining to the top 15 countries."
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"image/png": 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