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| { | |
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| "source": [ | |
| "<center>\n", | |
| " <img src=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-DV0101EN-SkillsNetwork/labs/Module%202/images/IDSNlogo.png\" width=\"300\" alt=\"cognitiveclass.ai logo\" />\n", | |
| "</center>\n", | |
| "\n", | |
| "# Area Plots, Histograms, and Bar Plots\n", | |
| "\n", | |
| "Estimated time needed: **30** minutes\n", | |
| "\n", | |
| "## Objectives\n", | |
| "\n", | |
| "After completing this lab you will be able to:\n", | |
| "\n", | |
| "- Create additional labs namely area plots, histogram and bar charts\n" | |
| ] | |
| }, | |
| { | |
| "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" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "# Exploring Datasets with _pandas_ and Matplotlib<a id=\"0\"></a>\n", | |
| "\n", | |
| "Toolkits: The course heavily relies on [_pandas_](http://pandas.pydata.org/?utm_email=Email&utm_source=Nurture&utm_content=000026UJ&utm_term=10006555&utm_campaign=PLACEHOLDER&utm_id=SkillsNetwork-Courses-IBMDeveloperSkillsNetwork-DV0101EN-SkillsNetwork-20297740) and [**Numpy**](http://www.numpy.org/?utm_email=Email&utm_source=Nurture&utm_content=000026UJ&utm_term=10006555&utm_campaign=PLACEHOLDER&utm_id=SkillsNetwork-Courses-IBMDeveloperSkillsNetwork-DV0101EN-SkillsNetwork-20297740) for data wrangling, analysis, and visualization. The primary plotting library that we are exploring in the course is [Matplotlib](http://matplotlib.org/?utm_email=Email&utm_source=Nurture&utm_content=000026UJ&utm_term=10006555&utm_campaign=PLACEHOLDER&utm_id=SkillsNetwork-Courses-IBMDeveloperSkillsNetwork-DV0101EN-SkillsNetwork-20297740).\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?utm_email=Email&utm_source=Nurture&utm_content=000026UJ&utm_term=10006555&utm_campaign=PLACEHOLDER&utm_id=SkillsNetwork-Courses-IBMDeveloperSkillsNetwork-DV0101EN-SkillsNetwork-20297740) 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.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
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| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "# Downloading and Prepping Data <a id=\"2\"></a>\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "Import Primary Modules. The first thing we'll do is import two key data analysis modules: _pandas_ and **Numpy**.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 31, | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
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| } | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "import numpy as np # useful for many scientific computing in Python\n", | |
| "import pandas as pd # primary data structure library" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
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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", | |
| "```\n", | |
| "!conda install -c anaconda xlrd --yes\n", | |
| "```\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "Download the dataset and read it into a _pandas_ dataframe.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 32, | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Data downloaded and read into a dataframe!\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "\n", | |
| "df_can = pd.read_excel('https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-DV0101EN-SkillsNetwork/Data%20Files/Canada.xlsx',\n", | |
| " sheet_name='Canada by Citizenship',\n", | |
| " skiprows=range(20),\n", | |
| " skipfooter=2\n", | |
| " )\n", | |
| "print('Data downloaded and read into a dataframe!')" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
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| } | |
| }, | |
| "source": [ | |
| "Let's take a look at the first five items in our dataset.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 3, | |
| "metadata": { | |
| "button": 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>Type</th>\n", | |
| " <th>Coverage</th>\n", | |
| " <th>OdName</th>\n", | |
| " <th>AREA</th>\n", | |
| " <th>AreaName</th>\n", | |
| " <th>REG</th>\n", | |
| " <th>RegName</th>\n", | |
| " <th>DEV</th>\n", | |
| " <th>DevName</th>\n", | |
| " <th>1980</th>\n", | |
| " <th>...</th>\n", | |
| " <th>2004</th>\n", | |
| " <th>2005</th>\n", | |
| " <th>2006</th>\n", | |
| " <th>2007</th>\n", | |
| " <th>2008</th>\n", | |
| " <th>2009</th>\n", | |
| " <th>2010</th>\n", | |
| " <th>2011</th>\n", | |
| " <th>2012</th>\n", | |
| " <th>2013</th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>0</th>\n", | |
| " <td>Immigrants</td>\n", | |
| " <td>Foreigners</td>\n", | |
| " <td>Afghanistan</td>\n", | |
| " <td>935</td>\n", | |
| " <td>Asia</td>\n", | |
| " <td>5501</td>\n", | |
| " <td>Southern Asia</td>\n", | |
| " <td>902</td>\n", | |
| " <td>Developing regions</td>\n", | |
| " <td>16</td>\n", | |
| " <td>...</td>\n", | |
| " <td>2978</td>\n", | |
| " <td>3436</td>\n", | |
| " <td>3009</td>\n", | |
| " <td>2652</td>\n", | |
| " <td>2111</td>\n", | |
| " <td>1746</td>\n", | |
| " <td>1758</td>\n", | |
| " <td>2203</td>\n", | |
| " <td>2635</td>\n", | |
| " <td>2004</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>1</th>\n", | |
| " <td>Immigrants</td>\n", | |
| " <td>Foreigners</td>\n", | |
| " <td>Albania</td>\n", | |
| " <td>908</td>\n", | |
| " <td>Europe</td>\n", | |
| " <td>925</td>\n", | |
| " <td>Southern Europe</td>\n", | |
| " <td>901</td>\n", | |
| " <td>Developed regions</td>\n", | |
| " <td>1</td>\n", | |
| " <td>...</td>\n", | |
| " <td>1450</td>\n", | |
| " <td>1223</td>\n", | |
| " <td>856</td>\n", | |
| " <td>702</td>\n", | |
| " <td>560</td>\n", | |
| " <td>716</td>\n", | |
| " <td>561</td>\n", | |
| " <td>539</td>\n", | |
| " <td>620</td>\n", | |
| " <td>603</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2</th>\n", | |
| " <td>Immigrants</td>\n", | |
| " <td>Foreigners</td>\n", | |
| " <td>Algeria</td>\n", | |
| " <td>903</td>\n", | |
| " <td>Africa</td>\n", | |
| " <td>912</td>\n", | |
| " <td>Northern Africa</td>\n", | |
| " <td>902</td>\n", | |
| " <td>Developing regions</td>\n", | |
| " <td>80</td>\n", | |
| " <td>...</td>\n", | |
| " <td>3616</td>\n", | |
| " <td>3626</td>\n", | |
| " <td>4807</td>\n", | |
| " <td>3623</td>\n", | |
| " <td>4005</td>\n", | |
| " <td>5393</td>\n", | |
| " <td>4752</td>\n", | |
| " <td>4325</td>\n", | |
| " <td>3774</td>\n", | |
| " <td>4331</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>3</th>\n", | |
| " <td>Immigrants</td>\n", | |
| " <td>Foreigners</td>\n", | |
| " <td>American Samoa</td>\n", | |
| " <td>909</td>\n", | |
| " <td>Oceania</td>\n", | |
| " <td>957</td>\n", | |
| " <td>Polynesia</td>\n", | |
| " <td>902</td>\n", | |
| " <td>Developing regions</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>1</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>4</th>\n", | |
| " <td>Immigrants</td>\n", | |
| " <td>Foreigners</td>\n", | |
| " <td>Andorra</td>\n", | |
| " <td>908</td>\n", | |
| " <td>Europe</td>\n", | |
| " <td>925</td>\n", | |
| " <td>Southern Europe</td>\n", | |
| " <td>901</td>\n", | |
| " <td>Developed regions</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>1</td>\n", | |
| " <td>1</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>1</td>\n", | |
| " <td>1</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "<p>5 rows × 43 columns</p>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " Type Coverage OdName AREA AreaName REG \\\n", | |
| "0 Immigrants Foreigners Afghanistan 935 Asia 5501 \n", | |
| "1 Immigrants Foreigners Albania 908 Europe 925 \n", | |
| "2 Immigrants Foreigners Algeria 903 Africa 912 \n", | |
| "3 Immigrants Foreigners American Samoa 909 Oceania 957 \n", | |
| "4 Immigrants Foreigners Andorra 908 Europe 925 \n", | |
| "\n", | |
| " RegName DEV DevName 1980 ... 2004 2005 2006 \\\n", | |
| "0 Southern Asia 902 Developing regions 16 ... 2978 3436 3009 \n", | |
| "1 Southern Europe 901 Developed regions 1 ... 1450 1223 856 \n", | |
| "2 Northern Africa 902 Developing regions 80 ... 3616 3626 4807 \n", | |
| "3 Polynesia 902 Developing regions 0 ... 0 0 1 \n", | |
| "4 Southern Europe 901 Developed regions 0 ... 0 0 1 \n", | |
| "\n", | |
| " 2007 2008 2009 2010 2011 2012 2013 \n", | |
| "0 2652 2111 1746 1758 2203 2635 2004 \n", | |
| "1 702 560 716 561 539 620 603 \n", | |
| "2 3623 4005 5393 4752 4325 3774 4331 \n", | |
| "3 0 0 0 0 0 0 0 \n", | |
| "4 1 0 0 0 0 1 1 \n", | |
| "\n", | |
| "[5 rows x 43 columns]" | |
| ] | |
| }, | |
| "execution_count": 3, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "df_can.head()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "Let's find out how many entries there are in our dataset.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 33, | |
| "metadata": { | |
| "button": false, | |
| "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, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "Clean up data. We will make some modifications to the original dataset to make it easier to create our visualizations. Refer to `Introduction to Matplotlib and Line Plots` lab for the rational and detailed description of the changes.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "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).\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 34, | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "outputs": [ | |
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| "data": { | |
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| " <thead>\n", | |
| " <tr style=\"text-align: right;\">\n", | |
| " <th></th>\n", | |
| " <th>OdName</th>\n", | |
| " <th>AreaName</th>\n", | |
| " <th>RegName</th>\n", | |
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| " <th>2009</th>\n", | |
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| " <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", | |
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| " <td>2652</td>\n", | |
| " <td>2111</td>\n", | |
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| " <td>2203</td>\n", | |
| " <td>2635</td>\n", | |
| " <td>2004</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>1</th>\n", | |
| " <td>Albania</td>\n", | |
| " <td>Europe</td>\n", | |
| " <td>Southern Europe</td>\n", | |
| " <td>Developed regions</td>\n", | |
| " <td>1</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>1450</td>\n", | |
| " <td>1223</td>\n", | |
| " <td>856</td>\n", | |
| " <td>702</td>\n", | |
| " <td>560</td>\n", | |
| " <td>716</td>\n", | |
| " <td>561</td>\n", | |
| " <td>539</td>\n", | |
| " <td>620</td>\n", | |
| " <td>603</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2</th>\n", | |
| " <td>Algeria</td>\n", | |
| " <td>Africa</td>\n", | |
| " <td>Northern Africa</td>\n", | |
| " <td>Developing regions</td>\n", | |
| " <td>80</td>\n", | |
| " <td>67</td>\n", | |
| " <td>71</td>\n", | |
| " <td>69</td>\n", | |
| " <td>63</td>\n", | |
| " <td>44</td>\n", | |
| " <td>...</td>\n", | |
| " <td>3616</td>\n", | |
| " <td>3626</td>\n", | |
| " <td>4807</td>\n", | |
| " <td>3623</td>\n", | |
| " <td>4005</td>\n", | |
| " <td>5393</td>\n", | |
| " <td>4752</td>\n", | |
| " <td>4325</td>\n", | |
| " <td>3774</td>\n", | |
| " <td>4331</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>3</th>\n", | |
| " <td>American Samoa</td>\n", | |
| " <td>Oceania</td>\n", | |
| " <td>Polynesia</td>\n", | |
| " <td>Developing regions</td>\n", | |
| " <td>0</td>\n", | |
| " <td>1</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>1</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>4</th>\n", | |
| " <td>Andorra</td>\n", | |
| " <td>Europe</td>\n", | |
| " <td>Southern Europe</td>\n", | |
| " <td>Developed regions</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>1</td>\n", | |
| " <td>1</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>1</td>\n", | |
| " <td>1</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "<p>5 rows × 38 columns</p>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " OdName AreaName RegName DevName 1980 1981 \\\n", | |
| "0 Afghanistan Asia Southern Asia Developing regions 16 39 \n", | |
| "1 Albania Europe Southern Europe Developed regions 1 0 \n", | |
| "2 Algeria Africa Northern Africa Developing regions 80 67 \n", | |
| "3 American Samoa Oceania Polynesia Developing regions 0 1 \n", | |
| "4 Andorra Europe Southern Europe Developed regions 0 0 \n", | |
| "\n", | |
| " 1982 1983 1984 1985 ... 2004 2005 2006 2007 2008 2009 2010 \\\n", | |
| "0 39 47 71 340 ... 2978 3436 3009 2652 2111 1746 1758 \n", | |
| "1 0 0 0 0 ... 1450 1223 856 702 560 716 561 \n", | |
| "2 71 69 63 44 ... 3616 3626 4807 3623 4005 5393 4752 \n", | |
| "3 0 0 0 0 ... 0 0 1 0 0 0 0 \n", | |
| "4 0 0 0 0 ... 0 0 1 1 0 0 0 \n", | |
| "\n", | |
| " 2011 2012 2013 \n", | |
| "0 2203 2635 2004 \n", | |
| "1 539 620 603 \n", | |
| "2 4325 3774 4331 \n", | |
| "3 0 0 0 \n", | |
| "4 0 1 1 \n", | |
| "\n", | |
| "[5 rows x 38 columns]" | |
| ] | |
| }, | |
| "execution_count": 34, | |
| "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, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "Notice how the columns Type, Coverage, AREA, REG, and DEV got removed from the dataframe.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "#### 2. Rename some of the columns so that they make sense.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 35, | |
| "metadata": { | |
| "button": 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": 35, | |
| "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, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "Notice how the column names now make much more sense, even to an outsider.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "#### 3. For consistency, ensure that all column labels of type string.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 36, | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| }, | |
| "scrolled": true | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "False" | |
| ] | |
| }, | |
| "execution_count": 36, | |
| "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, | |
| "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.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 37, | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "True" | |
| ] | |
| }, | |
| "execution_count": 37, | |
| "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, | |
| "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.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 38, | |
| "metadata": { | |
| "button": 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", | |
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| "\n", | |
| " .dataframe tbody tr th {\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>Continent</th>\n", | |
| " <th>Region</th>\n", | |
| " <th>DevName</th>\n", | |
| " <th>1980</th>\n", | |
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| " <th>1985</th>\n", | |
| " <th>1986</th>\n", | |
| " <th>...</th>\n", | |
| " <th>2004</th>\n", | |
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| " <th>2006</th>\n", | |
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| " <th>2009</th>\n", | |
| " <th>2010</th>\n", | |
| " <th>2011</th>\n", | |
| " <th>2012</th>\n", | |
| " <th>2013</th>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Country</th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>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": 38, | |
| "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, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "Notice how the country names now serve as indices.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "#### 5. Add total column.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 39, | |
| "metadata": { | |
| "button": 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>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", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>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": 39, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "df_can['Total'] = df_can.sum(axis=1)\n", | |
| "\n", | |
| "# let's view the first five elements and see how the dataframe was changed\n", | |
| "df_can.head()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "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:\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 40, | |
| "metadata": { | |
| "button": 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, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "So now our dataframe has 38 columns instead of 37 columns that we had before.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 12, | |
| "metadata": { | |
| "button": 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": 12, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "# finally, let's create a list of years from 1980 - 2013\n", | |
| "# this will come in handy when we start plotting the data\n", | |
| "years = list(map(str, range(1980, 2014)))\n", | |
| "\n", | |
| "years" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "# Visualizing Data using Matplotlib<a id=\"4\"></a>\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "Import `Matplotlib` and **Numpy**.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 41, | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Matplotlib version: 3.3.4\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, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "# Area Plots<a id=\"6\"></a>\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "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**.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 42, | |
| "metadata": { | |
| "button": 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": 42, | |
| "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, | |
| "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`. \n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 43, | |
| "metadata": { | |
| "button": 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": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "df_top5.index = df_top5.index.map(int) # let's change the index values of df_top5 to type integer for plotting\n", | |
| "df_top5.plot(kind='area', \n", | |
| " stacked=False,\n", | |
| " figsize=(20, 10), # pass a tuple (x, y) size\n", | |
| " )\n", | |
| "\n", | |
| "plt.title('Immigration Trend of Top 5 Countries')\n", | |
| "plt.ylabel('Number of Immigrants')\n", | |
| "plt.xlabel('Years')\n", | |
| "\n", | |
| "plt.show()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "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.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 44, | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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nn32W3XbbjZNOOokbb7yRqVOnMnPmTFKpFL/5zW8wDIOdd955yG0VQgghSoEEooQQQggxKD/+8Y9xHIfTTjsNXdc57bTTeoev3xRd13nkkUe44IIL2Hvvvdluu+24/vrr+d73vtdnuptvvpmLL76YHXbYAc/z+u3etdVWW/HUU0/x3e9+l09+8pPE43GOO+64TQY9Rsvhhx/Os88+yw9/+EMOPvhgoihi22235eijj96o2+OmnHzyydx888385Cc/4fLLL+eggw7ixz/+MV/5ylc2Od91112HrutcdNFFtLS0MGPGDB588EGOPPLILdyyj/z85z/nsssu48tf/jKZTIa99tqL//u//2PXXXftM90NN9zAf//3f/PVr36VKVOm8Ktf/YpPfvKTAy43CAKuuOIKVq5ciWVZzJgxg9tvv52zzz57k+3Zdtttee2117jhhhv4wQ9+wIoVK6iqqmK33XbjsssuY8899wQGt29uuukmvv71r3P00UdTXV3NFVdcQUtLy5D30aWXXsqbb77Jxz/+cfL5PPPnz2f77bcf1LyJRILnnnuO73//+8ydO5eWlhYmTZrEfvvtxzHHHANAVVUVt9xyCx988EFvV75HH32UXXbZZchtFUIIIUqBpobTiV8IIYQQAjjiiCOora3l0UcfLXZTRBEsW7aMHXbYgeeff36zBdaFEEIIIUAyooQQQggxSG+++SavvfYaBxxwAJ7n8cADDzB//nyefPLJYjdNCCGEEEKUCQlECSGEEGJQNE3jnnvu4YILLiCKInbddVcee+wxjj322GI3TQghhBBClAnpmieEEEIIIYQQQgghxoRe7AYIIYQQQgghhBBCiIlBAlFCCCGEEEIIIYQQYkxIIEoIIYQQQgghhBBCjIkJX6x8zZo1xW7CiGhoaKC1tbXYzRDjnBxnYrTJMSbGghxnYizIcSZGmxxjYizIcSaGa+rUqQN+JhlRQgghhBBCCCGEEGJMSCBKCCGEEEIIIYQQQowJCUQJIYQQQgghhBBCiDEx4WtEbUgpheM4RFGEpmnFbs6gNTU14bpusZshxjk5zkqPUgpd10kkEmV1zhJCCCGEEEJMTBKI2oDjOFiWhWmW164xTRPDMIrdDDHOyXFWmoIgwHEckslksZsihBBCCCGEEJskXfM2EEVR2QWhhBATm2maRFFU7GYIIYQQQgghxGZJIGoD0rVFCFGO5NwlhBBCCCGEKAcSiBJiEJqbm/nmN7/JgQceyGGHHcYZZ5zB4sWLR2z5CxYsYOHChSO2PCGEEEIIIYQQohRJHzQhNkMpxdlnn80pp5zCPffcA8CiRYtobW1lxx13HJF1vPjii6TTaT75yU9u9FkQBNJdVAghhBBCCCHEuCB3t0Jsxj/+8Q8sy+LMM8/sfW/PPfdEKcW1117L/Pnz0TSNCy64gBNPPJEFCxZw7733cv/99wNw5ZVXsvfee/OFL3yBWbNmccoppzBv3jyCIOC//uu/iMfjPPDAAxiGwaOPPsqPfvQjfvOb31BTU8OiRYvYY489ePrpp/njH/9IfX09URRx8MEH86c//Ym6urpi7RYhhBBCCCGEEGLIJBAlxGa899577LXXXhu9/+STT/LWW28xb9482tvbOe6449h///03u7y6ujr++te/8stf/pJ7772Xm266iTPOOIN0Os03vvENAH7zm9+wZMkSHn74YQzDoLq6mt///vd8/etf5/nnn2f33XeXIJQQQgghhBBCiLIjNaKEGKZXXnmFk046CcMwmDRpEvvvvz9vvPHGZuc79thjAdh7771ZuXLlgNOdcMIJGIYBwBe+8AV+97vfAfC///u/nHrqqSOwBUIIIYQQQgghxNiSQJQQm7Hzzjvz5ptvbvS+Uqrf6U3T7POZ67p9Po/H4wAYhkEYhgOuN5VK9f572rRpTJo0iRdeeIF//etfHHHEEUPaBiGEEEIIIYQQohRIIEqIzfjUpz6F53k89NBDve+9/vrr1NTU8Mc//pEwDGlra+Pll19m5syZTJs2jffffx/XdclkMrzwwgubXUc6nSaXy21ymi996UtccMEFfPrTn+7NlBJCCCGEEEIIIcqJBKKE2AxN0/j5z3/O3//+dw488EAOP/xwbr75Zk466SR222035syZw6mnnsqVV17J5MmTmTZtGp/+9KeZPXs23/72t9lzzz03u445c+bwl7/8hTlz5vDyyy/3O81RRx1FPp/nC1/4wkhvohBCCCGEEEIIMSY0NVD/oglizZo1fV4XCoU+XaLKhWmaBEFQ7GaIUfTGG2/wgx/8gMcee6xobZDjrHSV67lrQw0NDbS2tha7GWKck+NMjAU5zsRok2NMjAU5zsRwTZ06dcDPZNQ8IcrAnXfeyf3338+dd95Z7KYIIYQQQgghhBDDJl3zhCgD3/72t3nllVfYb7/9it0UIYQQQgghhBBi2CQQJYQQQgghhBBCCCHGhASihBBCCCGEEEIIIcSYkECUEEIIIYQQQgghhBgTEogSQgghhBBCCCGEEGNCAlElaKeddhrS9AsWLOD0008H4KmnnpKR1YQQQgghhBBCCFGSzGI3oNRFq5aBnR+5BSbT6NtsP3LL28BRRx3FUUcdNWrLF0IIIYQQQhSXH0as6rSJKYWuacVujhBCDIkEojbHzqNF0YgtTg0hqLVgwQJuueUWamtree+999h777356U9/iqZpzJ8/n6uvvpq6ujr22muv3nkefvhh/v3vf3Pdddfx1FNPcccdd+B5HrW1tdx5551MmjRpxLZFCCGEEEIIMfaa8wGd2QJbxwLqUlaxmyOEEEMiXfNK3KJFi/jhD3/I3/72N5YvX87ChQtxHIfLLruMX/7ylzz22GM0Nzf3O+9+++3Hn/70J5566ilOPPFE7r777jFuvRBCCCGEEGIkhZGi0wlYm7FZ0eUVuzlCCDFkkhFV4mbOnMnUqVMB2GOPPVi5ciWpVIptt92Wj33sYwB87nOf46GHHtpo3rVr1/LNb36T5uZmPM9j2223HdO2CyGEEEIIIUZWux1geyGg05TzgHSxmySEEEMiGVElLhaL9f7bMAyCIABAG0Rf8Kuuuoq5c+fyzDPP8OMf/xjXdUetnUIIIYQQQojRpZSi3Q7I+REN6Rg5N8QJwmI3SwghhkQCUWVoxowZrFixgmXLlgHw+OOP9ztdJpNhypQpADzyyCNj1DohhBBCCCHEaMh6EbYfoQMVcZMIaM75xW6WEEIMiQSiylAikeAnP/kJZ555JieddBLbbLNNv9NdeumlnHvuuZx88snU1dWNcSuFEEIIIYQQI6m94JNxAiriOjFTJ2lprJI6UUKIMqMppVSxG1FMa9as6fO6UCiQSqV6X0erlsEQRrrbrGQafZvtR25565im2dttT4jRIsdZ6drw3FWuGhoaaG1tLXYzxDgnx5kYC3KciZHmBhHvtdq0FXwa0hbV1dUsXtNKzo04ftda9EGU7hBiqORcJoarp9Z1f6RY+WaMRtBICCGEEEIIIYai3Q7IeSFpy+h9L2nptBYCMk5ITVJu7YQQ5UG65gkhhBBCCCFECQsjRYcd4AaKZOyjW7iEqaNrsCYrgxIJIcqHBKKEEEIIIYQQooR1OgG2H7JeMhQAhq5RETNYk5WC5UKI8iGBKCGEEEIIIYQoYe12QMYNqYwbG32WtHQyboAXREVomRBCDJ0EooQQQgghhBCiROXckIIXoWtavwXJU5ZOGEFrQbKihBDlQQJRQgghhBBCCFGi2uyAjBtQEev/1i1maMQNjVVdUidKCFEeJBBVopqbm/nmN7/JgQceyGGHHcYZZ5zBgw8+yJlnntnv9BdffDHvv//+GLdSCCGEEEIIMVq8MCLjBAQRxMz+b900TSMdN2gtBCilxriFQggxdDLG52Ys63TIe+GILS8dM9i+JrHJaZRSnH322Zxyyincc889ACxatIh58+YNOM+tt95KEAQj1k4hhBBCCCFEcbUXAvJeRNLadP5AytTpWDdtRT91pIQQopRIRtRm5L2QSDFi/w0mqPWPf/wDy7L6ZD/tueeezJo1i0KhwNe//nUOOeQQvv3tb/c+9Tj55JN54403ANhpp5244YYbmD17NieccAItLS0APPXUU5xwwgkcddRRfOELX+h9XwghhBBCCFFaIqXosAOcMCQ9QLe8HglLRwPW5qR7nhCi9EkgqgS999577LXXXv1+tmjRIn74wx/yt7/9jeXLl7Nw4cKNpikUCvzHf/wHTz/9NPvvvz8PPfQQAPvttx9/+tOfeOqppzjxxBO5++67R3U7hBBCCCGEEMPT5YTYQYTRT4HyDZm6RiqmszojBcuFEKVPuuaVmZkzZzJ16lQA9thjD1auXMl+++3XZ5pYLMacOXMA2GuvvXj++ecBWLt2Ld/85jdpbm7G8zy23XbbsW28EEIIIYQQYlBaCz4ZJ6Q2NbiudinLoMMJCCOFoW8+eCWEEMUiGVElaOedd+bNN9/s97NYLNb7b8Mw+q0LZZom2ronJ+tPc9VVVzF37lyeeeYZfvzjH+O6krorhBBCCCFEqcl7IQUvAhT6IDKiAJKWjh8q2m2pGyuEKG0SiCpBn/rUp/A8r7dLHcDrr7/OSy+9tEXLzWQyTJkyBYBHHnlki5YlhBBCCCGEGB1tdkDWC4dUeDxualiGxqouedgshChtEogqQZqm8fOf/5y///3vHHjggRx++OHcfPPNbLXVVlu03EsvvZRzzz2Xk08+mbq6uhFqrRBCCCGEEGKk+KEi44T4YUTcHPztmq5pVMR0mnJSJ0oIUdo01TPs2gS1Zs2aPq8LhQKpVKr39bJOZ1Aj3Q1WOmawfU1ixJbXwzTNfrvpCTGS5DgrXRueu8pVQ0MDra2txW6GGOfkOBNjQY4zMVxNOY9lHQ5hBJWJgTOiqqur6erq6vNexg1Zm/E4fpdaktbgs6mEGIicy8Rw9dS27o8UK9+M0QgaCSGEEEIIIcSGItVd46kQKOqTQw8kJc3uelKNWZ8d6iQQJYQoTdI1TwghhBBCCCFKQMYNcfwIQ6N38KGhsAydhKWxOuuNQuuEEGJkSCBKCCGEEEIIIUpAeyGg0w2pjA3/Ni0dM2gv+EQTuwKLEKKESSBKCCGEEEIIIYqs4IfkvBBNKUxj+LdpKVPHDRVdjtT1FEKUJglECSGEEEIIIUSRtRcCsm5AeguLjCcsHVOHVRnpnieEKE0SiBJCCCGEEEKIIgoiRZcT4oWKxBZ0ywPQNY10zKBR6kQJIUrUmAaioijiu9/9LjfccAMAuVyOa6+9lgsuuIBrr72WXC7XO+1jjz3G+eefz4UXXsjrr7/e+/6SJUu49NJLOf/88/nFL36BWtf32fd9br31Vs4//3yuuOIKmpubx3LTRszKlSs54ogj+rx38803c++9925yvtdff52rrroKgAULFrBw4cIhr3vWrFm0t7dv8v1///vf7L///ixatIinnnqKO++8c8jr6c+CBQs488wzR2RZg/Hhhx8yZ84cjjrqKJYtW9bns3w+z+WXX86BBx7IUUcdxTHHHMNDDz00Iuvt6uril7/85YCfT58+nTlz5jB79myOPvroTf4dP/OZzwDdx8xjjz222XU3Njby9a9/fcht3hKf//zneeONN/p9/9hjj+19/cYbb/D5z39+SMvecLsffvhhrrzyyuE3dpCGc6yOZNsGcz4QQgghRHnpsAPyfkDMHHqB8v4kLZ2sG+IF4YgsTwghRtKYBqKefPJJpk2b1vv68ccfZ6+99uKOO+5gr7324vHHHwdg1apVLFiwgFtuuYUrr7yS++67jyiKAPjZz37Gueeeyx133EFjY2NvkOrZZ58lnU7z05/+lOOPP37EAgeZzoC2Fn/E/st0jk5f7ZkzZ3LttdcC8OKLL/LPf/5zxNfx9ttvc84553DPPfew5557ctRRR/Htb397xNczFv7yl79w9NFH89RTT7H99tv3+ew73/kO1dXVvPDCCzz11FM89NBDdHZ2brSMMBz6D3smk+H+++8f8PNEIsG8efN4+umn+c///M/eoG1/6/3jH/8IDD4QNWXKFH72s58Nuc2jpbW1lWeffXZY8wZBMOjtHqzh/D3XFwRSh0EIIYQQQ6eUot0OyHuKytiWdcvrkTR1QgXNeX9ElieEECPJHKsVtbW18dprr/HZz36W//u//wNg4cKF/OAHPwDg0EMP5Qc/+AFf/vKXWbhwIQceeCCWZTF58mSmTJnChx9+yKRJk7Btm5133hmAQw45hIULF7LPPvvw6quvcsoppwCw//7792ZLDWfY0/X5vmIkB5zw/S1b2Oc//3n22WcfFixYQFdXFzfffDOzZs3iH//4B3fddRfXXXcdDzzwAIZh8Oijj/KjH/2IGTNmcPnll7N69WoAfvjDH/LJT36S9vZ2zjvvPNra2pg5c2Zvdll/PvjgAy666CLuuOMO9tlnH6A7y+Pf//431113HRdddBGVlZW88cYbtLS0cOWVV3LCCScQRRFXXnklL730EtOnT0cpxRe+8AVOOOEE5s+fz9VXX01dXR177bVX77o6Ojq49NJLWbFiBYlEgp/85Cfsvvvu3HzzzaxYsYLm5maWLFnC1VdfzWuvvcb8+fOZMmUKv/zlL7Esq0+7Fy1axOWXX47jOGy33XbcfPPN/POf/+TnP/85hmHw0ksv8bvf/a53+mXLlvH6669z1113oevdcdr6+nrOO+88gN4A6VZbbcVbb73FM888w/XXX8+LL76I53mcddZZnHHGGeTzeebOnUtXVxdBEPDd736Xo48+muuvv57ly5czZ84cDjnkkN4stv5ks1mqq6v7Xe/f/vY3dtppJz744AOuv/763gyvU045hWOPPZYLLriAQqEAwI9+9CM++clPsnLlSs466yyeffZZHn74YebNm4dt2yxbtoxjjz2W73//+xu14dZbb2XevHk4jsO+++7LzTffvMnj0LZtLrnkEj744ANmzJiB4zgDbt83v/lNbr/99o0yAB3H4T//8z/597//jWEYXH311Rx00EE8/PDDPPPMM7iuS6FQwLbtPttdXV1NU1MTp59++kbb9Nxzz3HTTTfheR7bbbcdt956K+l0mlmzZvHFL36R5557jrlz53L99ddzyimnMG/ePIIg4L/+67+YMWPGgNtw880309TUxMqVK6mrq+Oaa67p97u2vqeeeoo77rgDz/Oora3lzjvvZNKkSdx8882sXr2aFStWsHr1ar72ta9x9tlnA3D77bfzu9/9jqlTp1JfX8/ee+89YJuEEEIIUV6ybkjBizA0tvjepUfc1EmYGqu6PLapTozIMoUQYqSMWSDql7/8JV/+8pexbbv3va6uLmprawGora0lk8kA0N7ezk477dQ7XV1dHe3t7RiGQX19fe/79fX1vV3G2tvbez8zDINUKkU2m6WqqmrUt22sBUHAE088wTPPPMMtt9zCww8/3PvZ9OnTOeOMM0in03zjG98A4LzzzuPrX/86++23H6tXr+a0007jueee49Zbb2W//fbj4osv5umnn95kFtlXv/pV7rjjDvbbb78Bp2lqauLxxx/nww8/ZO7cuZxwwgk8+eSTrFq1imeeeYbW1lYOO+wwvvCFL+A4Dpdddhm//e1v2WGHHXrbCt0393vuuSe/+MUveOGFF7jwwguZN28eAMuXL+eRRx7h/fff5zOf+Qw/+9nP+P73v8/ZZ5/NM888wzHHHNOnTRdddBHXXnstBxxwADfeeCO33HIL11xzzUb7qMf777/P7rvv3huE6s/rr7/Os88+y7bbbsuDDz5IZWUlTz75JK7rctJJJ3HooYcydepU7rvvPiorK2lvb+fTn/40Rx11FFdccQXvvfde7/ZsyHEc5syZg+u6NDc389vf/rbf9a7viiuu4N577+3NtLJtm9/85jckEgmWLFnCeeedx5///OeN1vXWW2/x17/+lVgsxiGHHMLcuXP7ZCwCfOUrX+Hiiy8G4Pzzz+epp57iyCOPBPo/Du+//36SySRPP/00b7/99kZ/j/V94hOf4M9//jP/+Mc/qKio6H2/p+viM888w4cffsiXvvQlnn/+eQD++c9/8vTTT1NbW8uCBQv6bPfDDz/c7zYlk0luv/12Hn74YVKpFHfddRf//d//3btd8Xi8Nxvz+uuvp66ujr/+9a/88pe/5N577+Wmm24acBugu7vqY489RjKZHPC7tr799tuPP/3pT2iaxq9//Wvuvvturr76aqC7y+gjjzxCPp/n4IMP5swzz+Sdd97hj3/8I0899RRBEHDMMcdIIEoIIYQYR9rsgKznUxEfmWyoHumYQZsdjMjDeSGEGEljEoj65z//SXV1NR/72Md46623Njv9QJk5m8rY6e+z/k64Tz/9NE8//TQAN9xwAw0NDX0+b2pqwjQ/2i2GEY1oRpSm0Wf5G+r5bP1pdF3HMAxM00TTND796U9jmib77LMPq1at6p1W0zRM00TXdXRd733/+eef54MPPuhdXi6Xw3EcXn75ZX7xi19gmibHHHMMNTU1vevp22aNQw45hP/93/9l9uzZGEb3j6RhGL3r0XWd4447jlgsxu67705LSwumafLqq6/ymc98hlgsxtSpUznooIMwDINly5ax3Xbb9Wa3nXLKKTzwwAOYpsnChQu57777ME2Tww47jIsvvphCoYCu6xx55JEkk0n22msvoihizpw5aJrG7rvvzurVq/u0PZPJkMlkOPjggwH40pe+xNe+9rV+99H6+7pnP0J3RtCf/vQnWltbezN09tlnHz72sY/17tu3336bJ598snedK1asYPr06fzkJz/hxRdfRNd1Ghsb6ejo6N13Ax0DiUSC+fPnA90ZgxdddBHPPffcRutd/3gxDKNPm5VSXH755SxatAjDMFiyZEnvdOvPc/DBB1NXVwfALrvsQmNjI9ttt12f5b/88svceeed2LZNZ2cnu+22G0cfffSAx+Err7zSu4/33ntvdt999wGPKcMwuOSSS7jtttu46qqrerfh1Vdf5eyzz8Y0TXbddVemT5/O8uXLMQyDww47jEmTJvUef+tv90Db1NXVxQcffMBJJ50EdNeT+8QnPtH7fTr55JP7fIfW366//OUvG7V9/fXqus4xxxxDZWVl7/HQ33dt/e9Kc3Mz3/rWt2hqasL3fbbddtveZc2ZM4d0Ok06nWbSpEl0dHSwcOFCjjvuuN51HH300f0eu/F4fKPzWTkyTXNcbIcobXKcibEgx5kYDNsP0e0s6cCioTI+pHkNw+jNnu+PHg9Y0W4Tq6imOhnb0qaKCUrOZWI0jEkg6r333uPVV1/lX//6F57nYds2d9xxB9XV1XR0dFBbW0tHR0dv9lJ9fT1tbW2987e3t1NXV7fR+21tbb03nT2f1dfXE4YhhUKhT5ZFj9mzZzN79uze162trX0+d12394YduuvGjHQgalO1ZKqqqnq7c/Vob29n2rRpBEH3Ew3DMHo/D4Kg999KKYIgIIoioijqfT+KIv7whz+QTCb7rEsp1Wc66N7eDdunlOLaa6/l8ssv57LLLuMnP/lJ77Q980dRhGmam22LUqrPOtZv4/rzrD9NzzxRFGFZVu/7pmn2qevj+36ftvfsr/XXNVC7euy444689dZbeJ6Hruucf/75nH/++ey0004EQUAYhiSTyT7tvvbaaznssMP6LOfhhx+mpaWFP//5z1iWxaxZs8jn833aNpCez/bZZx/a2tpoamraaL3rT9t9jH60nffccw/19fXMmzePKIr42Mc+1jvd+vOsvy81TcN13T7LdxyH733ve7213W6++ebeaQY6Djc8pjb8e/foef+AAw7ghhtuYOHChZv9+4dhSCKR6H1/w+3e1DYdfPDB3H333RvtO6UU8Xi8z7oG+n71WH+9URSRTqc3+11b/7tyxRVXcM4553DUUUf1drnsWdb67dd1Hdd1+3w3etbR37Hruu5G57Ny1NDQMC62Q5Q2Oc7EWJDjTAzG6ozHqg4HS9foigYuadCf6upqurq6Bvw8jBT5gsOiZY3sMim1pU0VE5Scy8RwTZ06dcDPxqRY+Wmnnca9997LXXfdxUUXXcSee+7JBRdcwL777tvbbeW5557rraWy7777smDBAnzfp7m5mbVr1zJjxgxqa2tJJpO8//77KKX4+9//zr777gt0d/P529/+BsBLL73EHnvsUZYpqOl0msmTJ/d2Rero6GD+/Pmb7BLX3zLWH4Hw0EMP7TNS26JFi4DuWlq///3vge5i7/0V5O6h6zp33XUXS5Ys4cYbbxx0Wz75yU/yxBNPEEURLS0tvPjiiwDMmDGDFStW9I5Y19M1asN2LViwgLq6ut5skKGoqqqiurqal19+GYBHH32U/ffff5Pz7LDDDuy99978+Mc/7g3cOI4zYDbeoYceyv3334/vdxeCXLx4MYVCgWw2S0NDA5Zl8Y9//INVq1YBG/9tNuXDDz8kDMPe7qsDqaio6BPkymQyTJ48GV3XefTRR4ddhNt1XaC7a2w+n+eJJ57Y7DyzZs3qLSD+7rvv8s4772x2ngsuuKBPkGj9ZSxevJjVq1ez4447bjTfhts9kE984hMsXLiQpUuXAt1dFxcvXrzZ+YZjoO/a+jKZDFOmTAHgkUce2ewy999/f/7yl79g2za5XG7Abp1CCCGEKC9hpOh0ArxQkYyN/G2ZoWtUxg3WZL0RX7YQQmyJMasR1Z+TTjqJW2+9lWeffZaGhgYuueQSoLvO0QEHHMAll1yCruucffbZvTV7vva1r3H33XfjeR4zZ87sLZx9xBFHcOedd3L++edTUVHBRRddVKzN2mK33347V1xxBddccw0Al1xyyUYju23KnDlzOPfcc/nrX//Kj370I6699lquuOIKZs+eTRAEzJo1ix//+MdcfPHFnHfeeRx99NHsv//+G9UH2lA8HucXv/gFn/vc55g0adJGWR/9Of7443nhhRc44ogj+NjHPsY+++xDVVVVbxHyM888k7q6Ovbbbz/efffd3u295JJLmD17NolEgttuu23Q276h2267rbdY+bbbbsstt9yy2Xluuukmrr32Wg466CBqampIJBJceeWV/U572mmnsXLlSo455hiUUtTV1fGLX/yCz372s5x11lkce+yx7LHHHr0Fr+vq6vjkJz/JEUccweGHH75RsfKeGlHQnZ1z22239cnQ689uu+2GYRjMnj2bU089lbPOOotzzjmH//u//+Oggw4ilRreE7Dq6mpOO+00Zs+ezTbbbMPHP/7xzc5z5pln9v7tdt99d2bOnLnZeY488sg+td/OOussLr/8co488kgMw+DWW28lHt84VX3D7R4oNb2+vp5bb72V8847D8/rvhD77ne/229wa0sN9F1b36WXXsq5557LlClT+I//+A9Wrly5yWXutddevTXGttlmG2bNmjXi7RZCCCHE2OtwAmwvxNJH7+F5wtJpLwQEkcIcxfUIIcRQaGpThZcmgDVr1vR5XSgU+ty4ZzqDLR7pbn2WpVFVM/Lxv/W7xZWafD5POp2mvb2dE044gccff5zJkycXu1liGEr5OJvoNjx3lStJ/xZjQY4zMRbkOBObopTi/TaHtRmX2pSJPoyeHJvrmgfgBBHLOlwO2b6KrSqkTpQYOjmXieHaVNe8omZElYPRCBpNNGeddRZdXV34vs+FF14oQSghhBBCCDGh5bwI24/QNG1YQajBihsaMUNjZZcrgSghRMmQKIsYdb/73e+K3QQhhBBCCCFKRlvBJ+MGVMRHt2SvpmmkYwYtecloF0KUjjEpVi6EEEIIIYQQAtwgIuOGhJEiZoz+7VjK0sl7IXlveAPYCCHESJNAlBBCCCHGlOtEZDrlhkgIMTG12wEFLyJpbXpAmpGStLpv+Rpl9DwhRImQQJQQQgghxoxSinwuoqPdx/eiYjdHCCHGVBgpOuyAQhCRjo3NrZipa6RiOqszEogSQpQGCUQJIYQQYsy4jiLwFXY+opCTrCghxMTS6QTYfsgYJUP1Slk6HU5AGE3oAdOFECVCAlElaPr06cyZM4cjjjiCc845B9u2WblyJUcccUS/0994440899xzAHz+85/njTfeAOCMM87Y7JCuA7n//vt55JFHhrcBQgghxACcQoTnRMTiGpmsZEQJISaWdjsg60VUxcc2EpW0dLxQ0elI0XIhRPHJqHmb0draiuu6I7a8eDxOQ0PDJqdJJBLMmzcPgG9/+9vcf//9HHfccQNOf9lll2GaJkHQ94flgQceGHY7zzzzzGHPK4QQQvTHcyN8X4GmEYvruI5CRQpNH72hy4UQolTkvJCCF4FS6NrYnvcSpo6pa6zq8qhPWWO6biGE2JBkRG2G67oopUbsv6EGtfbbbz+WLVsGQBiGXHbZZRx++OF86UtfwrZtAC666CL+9Kc/bTTvrFmzaG9vZ+XKlRxyyCFceOGFzJ49m69//eu9886aNYvrrruO448/nuOPP56lS5cCcPPNN3PvvfcC3VlWPdN86lOf4uWXX+5tz7XXXstxxx3H7NmzewNfTU1NfPazn+3N6uqZXgghxMRmFyJcR2HFFaapEQUKx5asKCHExNBeCMi4IZXxsb8F0zWNiphOc17qRAkhik8CUSUsCALmz5/PrrvuCsDSpUs566yzmD9/PlVVVTz55JODXtbixYv58pe/zNNPP01lZSW/+tWvej+rqKjgiSee4Ctf+QpXX331gG154okn+OEPf8gtt9wCwG9+8xsqKyt58skneeKJJ/j1r3/NihUreOyxxzj00EOZN28e8+bNY4899tiCvSCEEGI8CHyF53U/lDEMHcMETYecdM8TQkwAXhiRcUOCSBEzx7hA1DpJSyfjhLiB1OcTQhSXBKJKkOM4zJkzh2OPPZZp06bxpS99CeiuHbXnnnsCsPfee7Ny5cpBL3Pq1Kl88pOfBOCzn/0sr7zySu9nJ510Uu////nPf/Y7f0/XwL333ptVq1YB8Nxzz/G73/2OOXPmcMIJJ9DR0cHSpUuZOXMmv/3tb7n55pt55513qKioGNoOEEIIMe7YhQjfi7Di3d1RNE3Diuvk8xKIEkKMf+2FgLwXkjSL1xU5aelEQFPOL1obRHkJgqC3J40QI0lqRJWg9WtErS8ej/f+2zAMHMcZ9DK1Dfqhr/96oH+vLxaL9a53/VpUP/rRjzjssMM2mv7RRx/lmWee4cILL+Qb3/gGp5xyyqDbKoQQYnwJA4XrRIQBxOIf/c6YJth5RRBEmKY8GxNCjE+RUnTYAQU/pD5VvNuvmKGTsLrrRG1bkyhaO0T56OzspKOjA8MwqKmpQdflt1qMDDmSJojVq1fz6quvAvCHP/yhNzsK4I9//GPv/z/xiU8MepmHHnoo999/P77f/VRl8eLFFAoFVq1aRUNDA6effjpf/OIXefPNN0dwS4QQQpQb247w/QjT6vuww7Q0IgWFnGRFCSHGry4nxAkiDE0b8KHvWElbBm2FAKVUUdshSl9PfeOuri6WLl3KmjVreu/7hNhSkhE1Qey000488sgjXH755eywww6cddZZvZ95nscJJ5xAFEXcddddg17maaedxsqVKznmmGNQSlFXV8cvfvELFixYwL333otpmqTTaW6//fbR2CQhhBBlIIoUrq0IAo1kqu8NmGFomKYilw2pqpFLEiHE+NRWCOhyQmqSxakNtb6Upa/XHjnvioH5vk8YhiSTSTRNo6mpiUKhwNSpU6X0ithimprg4fA1a9b0eV0oFEilUr2vW1tbhzzS3abE43EaGhpGbHk9TNPs02VufStXruSss87i2Wef3eizWbNm8ec//5m6uroRb5MYfzZ1nIni2vDcVa4aGhpobW0tdjPECCrkQzKdIVHUt1tej+7aUYoddoqPWaaAHGdiLMhxJgAKfsiHbQ7tdjDi3fKqq6vp6uoa0jxhpFjc7rDbpBS7Ty7/6wYxerLZLE1NTVRXV+O6LlEU0dHRgaZpbL311tTX10tXPbFJU6dOHfAzCYNvxmgEjYQQQoiJQEUKp6DwfUUi2X+QyTQ1nEKE5yriieJ2WRFCiJHWVgjIuCEVsdK4YTd0jYqYQWPWk0CU2CTXdfE8j3g8juu66LpOXV0d+XyeFStWUCgUmDJlSp86xkIMlgSiJoDp06f3mw0F8PLLL49xa4QQQkwUjqPw/QhNH3gwDNMENMhnQ+KJ0rhRE0KIkeCHii4nJAgj4gmr2M3plbR0Wgs+XhARk4EiRD966kNpG9Q10zSNiooK4vE4bW1t2LbN1ltvTVVVVdHrn4nyImceIYQQQow4pRSOvS7TqZ8ueT00XSMW08hlpWC5EGJ86bAD8l5A3CitG/SUpRNG0FqQwtOif57nEYbhgMEly7JoaGjA932WLl1Kc3MzYRiOcStFOZNAlBBCCCFGnOcqAk+BNnA2VA/T0vBcRRhKMEoIMT4opWi3AwqBIh0vfpHy9cUMjbihsapr5OrgivHF8zxc1yUWiw04ja7r1NbWkk6nWbVqFcuXL8dxnDFspShnEogSQgghxIizCxGuq4gNonSEYWqoqHseIYQYD7rcENsP0TVVcl2WNE0jHTNoKQRM8HGrxABc18X3fSxr811Kk8kk9fX1dHV1sXjxYjo7O+W4EpslgSghhBBCjCjf6x4JTymFYWz+UsMwwDAVuYwEooQQ40P7uiLlVbHSyobqkbR0HD8i78l5V/Q1UH2oTTFNk4aGBpRSLF26lLVr18pI22KTJBBVgqZPn86cOXM44ogjOOecc7Bte8Bpb775Zu69996N3r/xxhv5+9//PuB8f/nLX3j//fdHpL1CCCHE+uyCwvMU1iAH0tE0DTOmYxfkCaoQovzZfkTOC4lQmIMIxhdD0tJRQGNOuueJvjZXH2ogmqZRU1NDZWUla9asYdmyZRQKhVFqpSh3MmreZhhuI1o0cn1dlZ4gjE/Z5DSJRIJ58+YB8O1vf5v777+fc889d0jrueyyyzb5+V/+8hdmz57NzjvvPKTlCiGEEJsSBArXjVCRwhzCaEymCa4d4XsRVokMcy6EEMPRZvtk3YAKszSzoQBMXSMd01md8ZlRX+zWiFIymPpQm5JIJJg0aRIdHR0sXryYqVOnUltbi67Lb7v4iBwNm6FFDpqKRu6/IQa19ttvP5YtW8ZTTz3FCSecwFFHHcUXvvAFWlpaNpr2oYce4stf/jK2bXPRRRfxf//3fwBcf/31HHbYYcyePZtrrrmGhQsXMm/ePH70ox8xZ84cli1bxkMPPcRxxx3H7Nmz+frXv96bhXXRRRdx1VVX8ZnPfIYDDjigd5lCCCFEf+xChO9GmObQnqSaloZCI5eVUXeEEOUriBRddogXKhIlHlRPWQYddkAYSTaq+IjjOIOuDzUQwzCor6/HMAyWLVvG6tWr8TxvBFspyp1kRJWwIAiYP38+hx12GPvttx9/+tOf0DSNX//619x9991cffXVvdPed999zJ8/n/vuu494/KO+EB0dHfz5z3/m73//O5qm0dXVRXV1NXPmzGH27NmccMIJAFRVVXH66acD8OMf/5jf/OY3fPWrXwWgqamJxx9/nA8//JC5c+f2ziOEEEKsLwwVrqMIQ4glhhaI0nUNy1LkshG18nReCFGmOuyAgh8SM0qrQHl/kpZOc757dL9J6eEHHcT4oZTC87wh1YcaiKZpVFVVEY/HaW5uplAoMG3aNCoqKkaotaKcSSCqBDmOw5w5cwCYNWsWX/rSl1i8eDHf/OY3aW5uxvM8tt12297pf/e73zFt2jR+/vOfbxS5rqysJB6P853vfIcjjzyS2bNn97vO9957j5/85CdkMhny+TyHHnpo72fHHHMMuq6z884795uJJYQQQgA467rWGdbwLl6tmI7rKFSk0PTSv4kTQoj1KdUd1Ml5EXWp0u2W1yNualiGxqouVwJRAhh+fahNicfjTJo0ic7OTpYsWcLWW29NXV0dhlH63xExeiQQVYLWrxHV46qrruKcc87hqKOOYsGCBdxyyy29n+266668/fbbrF27tk+ACrpHMHjiiSd44YUX+MMf/sD//M//8Mgjj2y0zosvvpj77ruPPfbYg4cffpgXX3yx97P1+wfLUJxCCCH6E0UKx1YEASRTw7uANU0NO4hw7IhkWi5QhRDlJeuG2H6EroE+gjfyo0XXuutENef9YjdFlAjXdXEcZ9j1oQai6zq1tbUUCgVWrFhBoVBgypQpfXryiImltDsui16ZTIYpU7qLnG8YSNpzzz258cYbmTt3Lo2NjX0+y+fzZLNZjjzySH74wx/y9ttvA1BRUUE+n++dLpfLsdVWW+H7Po899tgob40QQojxxrEVvheh68N/YGGYoBmQzcpw4kKI8tNmB3S5PpXx8rnFSpk6OTfE9qU+n+gORIVhuEX1oQaiaRrpdJq6ujra2tpYsmQJXV1dkugwQZXPWXKCu/TSSzn33HM5+eSTqaur2+jzWbNmcdVVV3HmmWfS3t7e+34ul+Oss85i9uzZfP7zn++tK3XiiSdyzz33cNRRR7Fs2TIuu+wyTjjhBL70pS8xY8aMMdsuIYQQ5U8pta5bniIWH34WgKZpWDGdQk4CUUKI8uIGEVk3REVgGeVzi5W0dBTQJFlRE15PfSil1Ih2zduQZVk0NDQQhiFLly6lqamJIAhGbX2iNGlqgocg16xZ0+d1oVAglUr1vjbcxiGPdLcpSk8QxqeM2PJ6mKYpX2Ax6uQ4K10bnrvKVUNDA62trcVuhhgix47IdIb4XkQ8uWU3YK4bYecU28+IYVqjczMnx5kYC3KcTSxrMh7LOh1MTSM5RqPlVVdX09XVtcXLWd7pUJOw+NR2VSPQKlGuXNelsbER27b7FBQfqeOsP7Ztk8lkqK2tZeuttyaZTI7KekRxTJ06dcDPpEbUZoxG0EgIIYQYL5RS2IUIz4mIJ7f8CappaiilKOQjqmrKJ6tACDFxhZGiwwlwA0VlGda3S8cM2gsBkVJlUdtKjA7XdXFdd8TrQ21KMpnEsiw6OjqwbZupU6dSU1MzqhlZojTIFZ4QQgghhs33FIGvQGNERrozDA3DVOQyUq9ECFEeOp0A2w+JGeV585wyddwwosuRrPeJrKc+1FgGoqC7x0VDQwMAy5YtY82aNfi+dBUd7yQQJYQQQohhswsRrquwRnDgGyum4zhKCpgKIUqeUoq2QkDODakooyLl60tYOoYGqzJesZsiimT9+lDFoGka1dXVVFZW0tjYyLJlyygUCkVpixgb5Xm2HEVy0SuEKEdy7hLF4PsKz+sOGBkjWJzXNDVCX+E5clwLIUpbzouw/Qg0rWy7temaRkXcoCknWSgTled5BEGArhc3PJBIJGhoaKBQKLB48WLa29vlGneckkDUBnRdl2LMQoiyUgoXDmJictbVhrJiI3vzZZqADrmsdM8TQpQmpRRhpGgr+GTcgMoxKlA+WpKWTsYJ8AI5705Eruvied6Yd8vrj2EY1NXVYZomS5cupa2tTYJR45AUK99AIpHAcRxc1y2rImnxeBzXdYvdDDHOyXFWepRS6LpOIpEodlPEBBMECseJiCKImyP7e6npGrGYRiEXUT95RBcthBB9KKUIVXfB8VApwuijfweRIlIQRGrde93/jtb9O1oXjAojiJllHogydUIFLQWfaVXlV3BdbBnXdQmCoGRGrdM0jcrKSjRNY/ny5SilaGhoKKv7c7FpEojagKZpJfMFHAoZIliMBTnOhBA9HDsi8CPMEc6G6mFaGnZeEQYRRpnf4AkhRt9AAaVgvWBRqDYOKAVKodbNF7FunlDhR4ogilCq+xynaaBQaGhA9zy6poEG1fHyD9zETZ2EqbGyy2NalTzcmkh66kOVooqKCjRNY8WKFSilmDRpkgSjxgkJRAkhhBBiSKJQ4dqKIIBkapQCUaaGihR2IaKiSgJRQmyKUoq8F3WP3hZEbFcTJzaCddtKmVKKFV0eGTcgitZlKSkIo4gg6g44BVFEpLpDSBsGlFDdD6LRwNDA0HQMXZGO6Zi6jjGBur6nYwbthQCllNzsTyClUh9qIOl0ujcYFUURW221lRyf44AEooQQQggxJI4d4XsRhj56F4K6AYapyGYjKqpGbTVClDXb7w4+dTkhThCRcQO67BA3UOy5VarYzRsTXU5Ihx3QnPMwdQ1NBx0NQ9MwdCZkQGm4kqbePQKgF1IZl9vEicJ1XVzXxbKsYjdlQKlU9/ls9erVAEyePLlkA2dicOQMI4QQQohBU5HCthWer0YtGwq6MxTMmI5jR/J0Xoj1eGFElxN2Zz/5ETkvxA2i7pHPYhoKgw/bbHaojZGOje9L/TBSNOZ8upyASWkTc4JkgfUKR7aweNLS0YE1GY9dJo3vY0d8xHVdwjDsDfaUqlQqhaZprFq1iiiKmDJligSjypicYYQQQggxaI6jumtDGYx6cMi0NJxChO8pYnEJRImJK4wUXW5Ip92drVLwQ2xfoaFIWQaV6Y8yGWoMRacdsKjJZtb0yiK2evS1FQLyXoCuMeGCUEY+Q2ztUoxUNWF13cgsU9dIxXTW5nx2mTQiixQlrpTrQ/Wnp5bzmjVrUEqx9dZbSzCqTEkgSgghhBCDopTCKUR4riIxitlQPUyzO9iVz4XE4nKhKSaWSCmybkinE5JzQ2w/JOtFgCJu6tSnjH6DwbqmMSltsarLZUZ9gvpU6Xa32RJ+qGgp+GTdkNrUxLulMXNdhF2dxFYtx99xd4K6kRliNBUz6MgHhJEa1e7XojT0jJZXTsGcZDKJpmmsXbsWpRRTp04tq/aLbvIXE0IIIcSgeK4i8BWaPvrZUAC6rmFailw2GvV1CVEKlFLkvJBVGZd3W2yWtDss67Bpzns4QURdyqAhbVEZ7z8I1aMippOwdP69Nk+k1Bhuwdhpynvk3JCYqXePXjeRRBFGIUdgmgRmHOuDRZita0dk0SlLx1eKtoI/IssTpa0c6kP1J5FIUFtbS2NjI6tXryYc4W6qYvRNvMcHQgghhBgWuxDhuhFWfOzWacV0XFuhIoUmT+fFOOUEEZ12QKfTXe8p6wX4YfcobpVxA2uI3c60dVlRyztd1nS5bFOTGKWWF4ftR7QXAmwvor5i4t3OGHYOFfiEZhyvbivobMH68C20MMCfvE330IDDFDc0YobGyi6XyRWxEWy1KEXlUh+qP/F4nLq6OpqamlBKMW3aNAzDKHazxCBNvDO3EEIIIYbM87prNQEYY1iLxTQ1CmGEbUek0nKBKcYPP4zo7KfouKFppGIa1YktO96Tlk51wuDNZputKuNYxvgJ5K7NemTdkIrYxOzcYeSzKNtGTWkAx8WrnYwyDKzF76KFEd6U6TDMrkqappGOGTTngxFutSg1URSVVX2o/sRiMerq6mhubiaKIrbZZhtMU0Ic5UD+SkIIIYTYLKegcF2FNcYPyA0TdANyGQlEifK3YdFx2w8p+N1dT1NWd7e7kdSQMlnS4bKk3WaXSeWX8dCfjBOQdUP8SFG1hcG6sqQURiFLgIZhmoALgF9Vj9J1YsveIxb6eNM+NuxgVNLS6bQ98l5IOjYB9/EE4XkeYRiW/ai0sViM+vp6WltbUUoxffp0CUaVAfkLCSGEEGKTAl/huhFKKQxzbDMQNE3DiunYBakTJcpTpBS5dUXHs26IHYRk3QiUIm7p1KfMUbsRtAydhpTJuy0206vjpMo8qBApxdqcT5cbUDVBBzDQnTwEPqG+8W1cUFELukFsxRLiYYQ7fUcYRlelpKmjAY1Zjx3rkyPQalGKeupDJRLl33XXsizq6+tpa2tDKcW2224rwagSJ38dIYQQQmySbUd4boRlFeepqWmBnVMEfoRpTcybT1FelFLk3IDVGY8uJ8ANIrrcEKUUlq5TlzLGrMB2TcKk0w55u6XAvtMqx2Sdo6XdDih4IRrakOtmjRdmPgu2TZiu7vfzIFWF0nTiq5cRDwPc7XbuHoJ0CCxDI2nprM76Eogax3rqQ42XgI1lWTQ0NPQJRpVbEfaJZHwcdUIIIYQYFWGocB1FFEE8UaRAlKmhIkU+H1FdMzFvPkX5CCPFkg4H086xusPGD8HUoSquFyV4Yugak9ImKzpdZtQlqUmW5+V/ECmacz5dbkhtsrwzu4ZtXbe8UAHmwP2kw2QFzuRtSDSuJhGGuDvsghpiv+pUTKej4BMpNfFGJZwAxkN9qP6YptknM2q77baTYFSJkqs5IYQQQgzIKUR4XohpFu9GxDA0jJgi3yXDM4vS124HdDkBLTmHuKnRkDapSZpFzeCpjBtYps6/m/JEShWtHVuiJe+T90MsXZuwgRHdtcHzCPrplrehKJ7E2WobtNZG4kveQvPcIa0rael4kaLDlqLl49F4qQ/Vn55gVFdXF8uWLRuXAbfxQAJRQgghhOhXFCkcRxH4GlasuBerlqXjOApVpjfRYmKIlKKtEJB1IyZXxkmYpZG5o2kak1MmzTmf5lz53ZS5QURbISDvRlRO0NpQ0D1aHo5NmBhcd7kolsDZajq0tRL/YFF3IGuQEqaOqWus6iq/40Vsnuu6OI4zLupD9cc0TRoaGshmsyxduhTXHVogVoy+McnN9TyPq6++miAICMOQ/fffn1NPPZXf/va3PPPMM1RVVQHwpS99if/4j/8A4LHHHuPZZ59F13Xmzp3LzJkzAViyZAl33XUXnuexzz77MHfuXDRNw/d97rzzTpYsWUJlZSUXXXQRkydPHovNE0IIIcYlx1b4XoRhKKC4gSjT1LDzEa6jSCTH3xNcMT50Od0j4Rk6JZe1k4oZVMZ13mgs0JCOYeql1b5NWZv1yDgBSUsflxkcg2UWsoRRBLHBBw8iK44zZTsSzSuJv/cm7k57ECXTm51P1zQqYjpNeQ/Y/PSivLiuSxRF46Y+VH8Mw6C+vp729naWLl3KDjvsQDweL3azxDpj8kjBsiyuvvpqbrzxRn7yk5/w+uuv8/777wNw/PHHc+ONN3LjjTf2BqFWrVrFggULuOWWW7jyyiu57777iKLu0XJ+9rOfce6553LHHXfQ2NjI66+/DsCzzz5LOp3mpz/9KccffzwPPfTQWGyaEEIIMS4ppXDsCN9TxOLFv/EzLdB0yGele54oTUopWvLdNYyq4qWRCbWhhrRFzotY1jn4zJhiy7khGTfEjSJSsYmbDaV5DnguoT70Y0uZFs5W26LsHPH338AoZAc1X8LSyTohbiDn3fFkvNaH6o9hGNTV1WHbtmRGlZgxOZtrmtab9heG4Wb7oy5cuJADDzwQy7KYPHkyU6ZM4cMPP6SjowPbttl5553RNI1DDjmEhQsXAvDqq69y2GGHAbD//vuzaNEiSd8XQgghhsl1FIGv0HVKIgNB0zRiMY1cLip2U4ToV9aLKPjdx6dRotlGMUOnNqnzTpODG5T+d0kpxdpc98iDVbHSDO6NFTOfBcchjKWGNb8yTOyttiVyPWLvvoGe7dzsPClLJwKac/6w1ilKU099KF2fGIHdnswo27ZZvHgxjuMUu0mCMawRFUURl112GV/72tfYa6+92GmnnQD461//yne+8x3uvvtucrkcAO3t7dTX1/fOW1dXR3t7+0bv96TabTiPYRikUimy2cFF+4UQQgjxEaUUdiHCcyNiRRoprz+mpeG7irAMbqDFxNOa98m4PlUlXsOoNmnhR4p3WgrFbspmdTghOTciihQxs7T362gzChmiMEBtSU0f3cCZvA1RFBJ/7w2MrvZNTh4zdBKWxsrMxMiemSh66kNNpG5quq5TX1+P53ksWbIE2y6frNDxasw6heq6zo033kg+n+emm25ixYoVHHXUUXz+858H4OGHH+b+++/nW9/61oCZTJvKcOrvs/6e4D799NM8/fTTANxwww00NDQMZ3NKTk9BNiFGkxxnYrTJMVYaHDvEt110AlIVpVM/IkhHtEcu8XgFNbXDv4CW40yMtJwbYNg50pFFQ0X3sWkYBtXV1UVuWf+0uEdz1sNKV1OdLM2hzcNIsbYxSxTT2LamqmSzzMaE7xEzTZx0BWZFRe/buq5TUTGM+k2VFZiNq0mueB+160yihq0GnHSKniDnhtTX15dEdqzYcp7nkUqlqKmpGdT0pXwuG6rq6mqam5tpbm5m1113JZ2W+mfFMuZXl+l0mt13353XX3+dz3zmM73vH3nkkfz4xz8GujOd2traej9rb2+nrq5uo/fb2tqoq6vrM099fT1hGFIoFKhY70TdY/bs2cyePbv3dWtr64hvYzE0NDSMm20RpUuOMzHa5BgrDZ3tAblshBVT+F2lk4WglMJ1Q1YudwnC2LCXI8eZGGnLO11WdLokLY2usLvbR3V1NV1dXUVuWf80pXAKLn97eyUHbltZkgGGppzH6i4X24+IhaUTEC8Gs6sNr70NW4+jcvne9ysq0uTWez0kFbXE2hsxX1uAv+NuBA1b9ztZ6IW0dnksWa1TnZjYf4fxIIoimpubyeVyg/7el/K5bDji8TgdHR0sXLiQHXbYQYJRo2jq1KkDfjYmV5eZTIZ8vvsk6Xkeb775JtOmTaOjo6N3mldeeYXp06cDsO+++7JgwQJ836e5uZm1a9cyY8YMamtrSSaTvP/++yil+Pvf/86+++4LwCc+8Qn+9re/AfDSSy+xxx57lOSPqhBCCFHKfE/h+wqUwjBKJwgF3ZnOZkzHKURSB1KUDCeI6HICgkgRL5PuY7qmManCYm3WoyUfFLs5G/HCiNZ8QNaNqE5M7NpQAGY+Q+S5qGRy5BaqaXh1UwgSaawP38JqWgn9nFcTpo6uwWrpnjcuTLT6UP3RdZ26ujqiKGLJkiW95YHE2BqTsHZHRwd33XUXUdR94XjAAQfwiU98gp/+9KcsW7YMTdOYNGkS55xzDgDTp0/ngAMO4JJLLkHXdc4+++zeL8vXvvY17r77bjzPY+bMmeyzzz4AHHHEEdx5552cf/75VFRUcNFFF43FpgkhhBDjil2I8JwIM1aaD3NMS8MplM5ofkK05n2ybkjaKq8bu4qYQTqm80ZjjiM+VlNSXd8acz5ZLyRpafJgOQjQHJtAs4AR3heahlc7GaXrWIvfRYsU3lbbwHpBCkPXqIgZNGY9dp88vELponQ4jjPh6kP1R9M0amtraW9vZ8mSJeywww5UVlYWu1kTiqYm+CPFNWvWFLsJI0K6GYixIMeZGG1yjBVXECg62gIcOyKZKs2b6ihSdLVH1G9lUFc/vNo2cpyJkeKHEe+1OrQUPBpSfY/HcujO4gQRyzpc9ptWwXa1W1AEewQV/JAP2xzaCwH1aekKZmY7sFYvx0EnSvW9Ud6irnkbraedWFcb4bY74k3doU8wqsMOaC34fHqXOqwSy5QVQ9Pc3ExbW9uQgi7lcC4bLqUUnZ2dRFHExz72MQlGjbCid80TQgghROnrzjSKMM3SzUDQdQ0zBvmMjJwniq+1EJD3QhJlenOeMHVqkwZvNhfwwtL4Tq3N+mTckIoSH31wrBj5LMp1iJKjW8cmqKzDq5uMsXwx8RUfQhj2fpa0dMKoO/tPlK8oivA86WK5Pk3TqKmpQdd1lixZQiaTKXaTJgw5wwshhBCCKFS4jiIMwCrRbnk9LEvDdRVRNKGTukWRhZGi3Q7I+xEV8fKtY1SfsnCDiPdbnWI3hU4nIOeGBGFUNvW2RlUYYth5Al0HbfT3R5Cqxm3YGn31MuLL34Ogu35Y3NCIGxqrsu6ot0GMHtd1CYIAwyjf89Vo6AlGGYbBkiVL6OzsLHaTJgQ5wwshhBAC216XDWWUdhAKwDQ1olDh2KWRwSEmpnY7wPZC4mXwndkUU9doSFt82GaT94pXuDxSiqacT6cTUCUFygEw7BzK9wmNsavnEyYrcCdNQ1+7ksTSd9F8D03TSMcMWnKhDBRRxlzXxXVdYrHhjzo7XmmaRnV1NZZlsXTp0j6DqonRIYEoIYQQYoJTkcKxu0fLM8ugfqlhgm5AVrrniSKJlKK14JPzIyrHQReymoSBpsGiJrtobWgrBOTcAF1D6hCtYxSyKNse9W55GwoTKZyttkVrWUN8yVtonkvS0in4IXlPzrvlyvM8oijCNIdQe01FEE2Mv7mmaVRVVRGPx1m2bBnZbLbYTRrX5CwvhBBCTHCOo/D9CEOnLEao0jSNWEzHKUyMi2NRejrsAMePMLTy+M5sjq5pTEpbrOpyaSuMfR0gP1Q0532ybiTZUD2iCLOQI9R0KEJXqiiWwNlqW2hrJf7BItJRd7e8xpx0zytHw60PZbY0oq1YDBMkE64nGGUYBitWrChKBuBEyTqUQJQQQghRJEopsl0hmc6QfC7EsSN8f2xrHymlsAsRvqewEuVzQ21a4LmKwJdglBhbSilaCwGdbjiugiYVMZ2EpfPvtXmiMb4Rasp75NyQmKmhj4PA3kgwnHx3t7yhZK+MsMiK40zZDjKdpD9cRIXyWJ2RguXlaDj1oTTXRstlCJd9CPncKLau9FRUVFAoFMa0XpQbRKzJeLzbahNOgBqYMiaqEEIIUSRhCI4dkcuGaJqGroMVA8PQMU0wTB3DBMPQul8bGvoI16PpDuYotDLL7DBNDZQinwuprpXnamLsZNwQ248wYFwFTbR1WVHLO11Wd7lMr0mMyXptP6KjEGD7IfVpa0zWWQ6MfBYcmzBdU9R2KNPCmbItieYV1Kx6l+YpOxFGVRj6+Dn2J4Ke+lDx+OD73xsdrSjHRimF3rSKqGK3UWxhaYnFYiSTSVatWkV1dTW6PnrXGTk3pLXQPVpozgtxg4jta+Ik9fHzoKM/EogSQgghiiTwFUEQEU/qWBaEgcIPNHw3RKGhCCHS0A0wLDBNHdMAw9QwTA3T1DCMngDV8AJJdj7C8yLKrXapbmgYMUU+E1FdW+zWiImkJR/Q5QTjojbUhpKWTnXCYFGzzZTKONYYFGJvzHlk3JC0Nb5vuoZEKYxCllCp7vTPYjfHMLG32o5E0xq05Yvp2DpJw5SGYjdLDIHrukOqD6XZebRCHl8pqK5Fb28m2mHn7gKNE0Q6naalpYW2tjYmTZo0osuOlKLTCWkr+BS8iIwbEEaQsnSsmIE5ioGvUiGBKCGEEKJIfE8RBJBIdgeRTEtbd8/R90IvDCMCD1w75KOB4jQ0FKalYVg6hgHWugBVTxaVYXT/e6AAled2dwUE0MuwOLBl6TiOQilVVtlconzlvJC8FwLjt6B2Q8pkSYfLknabXSalRnVdGTck44T4YURVovgBl1KhOwXwPQKjhPaJbsDkqeiNbTS+9hp1B3wCvba+2K0SgxBFEb4/hC6VSmF0tBHZeaJUBVEyCY1roLMN6iaPXkNLjGVZpNNp1qxZQ11d3ZC6NQ7EDyPa7YD2QoAdRGTcEE0pKuIGMbP7N8WZICUHJBAlhBBCFElPEGhzQRTD0DGSG78fhRFBAJ4XoUKFUh8txzDXBaYMDTP2UVBq/QCVXVC4jsIqs2yoHqalYecjXEeRSEogSoy+1rxP1g2oiI3f480ydBpSFu+22EyvjpOKjU4GhFKKxqxHlxuMq1pbI8EorOuWl6wqdlP60A0Dq34STR0t7PbvV1AHzkazSihYJvo11PpQeiGHZhcINA3NtCAWR8UTGGtXEU6gQBR0Z0W1trbS0tLClClThr2cgh/SVgjockLyXkDBjzB1jdqkMa66eA+FBKKEEEKIIghDRRgq2IJ6lLqhEzNgwziSUoogUPgeuG6IymlomgJNQ9PAsrrrT2k6KBSGWZ6ZHaYJmg7ZTEgiWZ7bIMqH7Xc/vQ4iRayIBaTHQk3CoNMOeLulwL7TKkdlHe12MO6zy4bLLGS7fx+swdfzGSspQ6MpVYeTW0xixRKMHXcpdpPEZriui+M4JJP9PNHakFIYneuyodKV9IRIVLoCvbMN5blosdI7LkeLaZqk02nWrl1LQ0PDoLs2Qve1WMbtDkDlvJCMG+CHirihU58yJ3wmt5z1hRBCiCIIfEUYKHRz5C9ENE3DsnSSaY10pUFFtU66yiBVoRGPQxiBbYcUchFWGWd2aJpGLN6dFSXEaGstrMuGmgC1jAxdY1LaZEWnS4c98qOkhZGiOefT5YRUSzZUH7prg+cS6qUZ7EwaEBkWLal6WPoeaihdvkRRuK6LUmpQGVF6LtOdjacZaOsFXcJkCpRCb2kczaaWpFQqRRRFNDU1DWr6MFK05H3eb3NY0u6yssulveCTMHQa0haVCWPCB6FAAlFCCCFEUfi+wvcUljl2Q/RqWnc9qURSJ11hkK7Uu0efK2OmqeE63UXfhRgtXhjR5YR4oSIemxiXz5VxA8vUebOxQKRG9jzVnPfJeSExQ5uw3VIG0j1ankOQHN36XMNl6ZDQFavMavA9opVLi90ksQlhGOJ53uAmVlF3NlQhT1RR0fczw0SlKzGaV8MInw9KnWEYpNNpGhsbN7kv3SBiTcbj3Vab5R0OazIeGTegKq5Tn7aIWxPjt2OwZG8IIYQQRRB45VskvJSYpoYC7IIEosToaSsE5NyQ1ATIhuqhaRqTUybNeZ+m3CBvZAfBDaLerioV43DkwS1lFLJEQQixRLGbMqAKE9oii7C6Dpa8hwokK6pUeZ5HGIaDy4bKdKJcm8C00PoZtS1KpqBgQz43Gk0taalUd2B47dq1G32Wc0OWdTi812qzvMuhOefjhoq6lEFdysSU67x+yV4RQgghxlgUKfxgYj1RHC2GqWGailxGAlFidASRot0OsMOI1ATJhuqRihlUxnX+3VggiEbmnNWY88k4ASlLuqdsSPNcNNchGIHRuUZTpQlepLHaqgXflayoEtZTHyoe30xdpyjE6OogchxUuqL/SRIpMHX0plWj0NLSpus6lZWVtLa24rou4brfhQ/abBa3O6zocmkr+BhoNKRNqhITtwj5YE2sX1MhhBCiBAS+Ioq6C22LLWdZOk4hQk2w7gJibLQVfPJewASLQfVqSFtk3YhlnfYWLyvnhXQ5Ac4EDOoNhlHIgucQxgZRVLqIYjpUmYr3XQuq6mCxZEWVqsHWhzK6OlCOTWhuooi2phGlK9HbmyEKR6G1pS2ZTBIpeHPxCt5vtVnW4bA649HpBKSt7vpPSTmvDZrsKSGEEGKM+b7CdyNk1OuRYVoaQaDwPAlEiZEVRor2QkDeU1TGSztLZbTEDJ26lM47TQ7uFtRiU0qxNuvR5QRUT9B9uTlmIUvkBahEaQeiAKotyPjQnqwB3yFavazYTRIbGHR9qDBAz3QSuQ4q1X82VI8omQbPh862EWplebADRWNB0aGlWbK2nZWtGfJeSG2yu/tdrExHHy4m2WNCCCHEGAt8hYrAkAuXEWGYABr53MR7QitGV6cTUPBDTJ0J3Y2sNmnhR4p3mgvDXkanE5JzIyKl5KatH1rgozk2oaYDpX+sJXVIGPCeY0FVrWRFlSDXdQmCAL2fek/rM7raUW6BMBbf7HlOxeKoRBJj7fjvnqeUIutFrMiGrMiGNOZ98qGOqUfouRaqR6P7nVIYTn5kl1mi5FdACCGEGENKKQKfcrjPKBu6rmHGIC91osQIUkrRWgjIuiFViYmdwWPqGpMqTJZ0OmTcYMjzh5GiMefR5QZUJ8zNzzABdXfLcwnipVukfH2aBjUmNHsadroWXIdo9fJiN0usx/M8XNclkdjEMRX4GJlOIs9DDXKkxiiVRst2gOeOUEtLi1KKDjdiaSZiVS6kJe+TdzySWkh9Uqe6qgonn8G1hx+Y71cUEW9aSWLNMnCdkV12CZJAlBBCCDGGAh/CUMkv8AizLA3XVUQjVFBZiC43pOBF6JomRWeBqriBqWm82VgYcj221oJP3gsxNTB02Zf9MfJZlOsOOhhQCipMQIPFXgyqamDxO6hg6IFKMToGUx/K6GwjcmyCWHLQWZ9RMg0KtJbGkWpqScn6iqZ8RHvBx3F9qsyImoTem8lpWjEMM0ZH85oRq02p+R6JNUvRu9pxbQdV4gMWjAS5DBZCCCHGkO8rfD/ClKSAEWVaGlGosG3JihIjoyXv0+UGVMblchlA1zQmVViszXq05AcfbPDDiNZ8QNaNJnxm2YDCAMPJE2gG5XR7ZmhQa8JyWyOorAVbsqJKxWDqQ2mei57tIvQDtOQQ6pIZBipVgdG8GsbZICGRUrTairwXUG1FVCd0DKPvd1LTNOLpNG4+j5PPbfE6ddcmsXYZWjaDE2r46aotXmY5KJ8znRBCCDEOBL4iDME0JStgJBlGd62oXKcEosSWy63LhkIpTEMul3tUxAzSMZ03GnOEg8w+bMz5ZL2QpKlN6Dpbm2IUcijPI7TixW7KkFWa4EYaa8IY1NTC4nclK6oE9NSH2lw2lHJswqEEodaJkmko2JDPbkkzS06Hq3CCCEsLNwpArc+0YpjxOB3Na1HR8K87jHyGxJplqEwGWzOJKiZGEAokECWEEEKMGaUUvq/QmNiFj0eDpmlYMV0yosSIaCn4ZNxgwo6UtykNaYtOJ2RF5+brwxT8kA47wPYj0rIvB2QWsijXIUqli92UIYvpUGUq3stpUFkLdoFozYpiN2vC66kPFY/3H9zUXBstlyEMI7Rh1CWLEkkwdfTG8VO0PIgUHY6i4AWkrc2HSRKpNJ5dIJ/tGtb6zM5WYk2rCHM5nHhqsyMWjjcSiBJCCCHGSBhAFCokBjU6TBN8LyLwJBglhq/gh2TdkDCS0d36kzB1apMGb7UU8MJNf9casz4ZN6QiJvtxQFGEUcgRahpo5bmfqi3IBhrtxKC6RrKiSoDrukRRNGBGlNHR2p0NlRhmTTJNI0pXoXe0QDQ+RqxtcxQFPyRhRIN6WGiYFlYiSVdLI9FQsqKiiFjLGqzWRsJcFiddhYoPPSut3JXn2U4IIYQoQ76vCIIIXbrljYru7o4a+fz4uCgWxdFaCMi4IWlLMngGUp+ycIOI91sHHtmpywl6A3qJQWQXTFSGnUMFPoEeK3ZThi2pQ8JQvJMDrboO7DzR2pXFbtaE1VMfaqBgimYX0Ap5AqXQ4sM/7qJUGjwP2luHvYxS4YaKLjfCD0JSQzj3x5MpfNcl39UxuBnCkHjTSozOVnzbxq2sB7N8v/tbQn4VhBBCiDES+IogAMsqdkvGJ93QMC1FLiMZUWJ43CCiyw4IIkVCsngGZOoaDWmLD9ps8t7GmS+RUjTmfDodKfa+OUY+i7JtojLulqNpUGNCq6dR0NcbQS+UhwLFsLn6UEZHK5Gd3+KuoMqKoRIpjHHQPa/VjigEISlzaMXXDdMklkzS2dpEtJnjXfM9EmuXond14Lk+fnVdd4HLCUp+GYQQQogx4vvdFzhSH2r0mJaO46gRG1JZTCythYCcH5KULnmbVZMw0DVY1GRv9FlbISDnBmiAJcXeB6YURiFLiNY92kIZqzABDT7Mg1ZdC4U80RrJiioG13UHrA+l57NoToFQ09DMLX8qFqXSaNlOcAfOjix1eV+R8xRhEBIfxrk/nkwT+j7ZjoEzw3SnQGLNUsh04UQQVNUx0UMxE3vrhRBCiDEShoowVCDxkVFlWhphqHAcyYoSQ+OHik47wPEVKcmG2ixd05iUtljV5dJW8Hvf90NFc94n60ZUJyfu0/7B0J08BD6hXt5BKABDg1oTltsagRlflxX1tmRFFYHruiilNs6IUgqjs42okCdKjkwGXpTszqrSWhtHZHljTSlFqx2R94PuYOow6IZBPJUi09ZM2E9tNCPXSWLtclQui2MmiCqqt7DV44P8ygohhBBjIPAVYaCkPtQoM03QNch1SSBKDE277ZPzAmRwt8GriOkkLJ031uaJ1mUhNud9cm5IzOgOVomBmfks2DZhGY6W158qE7xIY6W9LisqL7WixloYhvi+32/mtZ7LgGMT6gaaOULBT8NApSowmtZAGWYid3mKQqDQVIS1BZmwsUSSKIrItLf0ed/qaCHWtJowl8WOp1HDLQ4/DkkgSgghhBgDvq/wPYU1xPoDYmg0TcOKa9gFCUSJwQsjRVshoOBHVEgkatC0dVlRbXbA6i4XJ4hoL/gU/JDKRPln+Yyqnm55inFTrNjSodpUfJDXUFa8ewS9DyUraiwNWB9KRd3ZUHaeKD2y9ciiZBrsAuQzI7rc0RYpRbujKHgBldaWBc113SCeqiDb3orved0j4zWvwmxrJMjncdI1EEuMTMPHCQlECSGEEGMg8LoDULrUSxl1pqnhOt0jFAoxGB1OQMEPsQxNargNUdLSqU4YvNlUYE3GI+vJiIODobs2eB7BOOiWt74qC7KBRqvXkxWVIxoHxazLRU99qFisb3BTz3SiXJvAsND0kb0OiRJJsEz0xtUjutzR1u4o7CDCJETXt/y8H4snQCkyLWtINC7H6GzDt1286noYgXpc441cDQshhBCjLIoUfiCZUGPFtDQUYOclECU2TylFaz4g60ZUSjbUsDSkTApBRFPOwwsiklJja7OMfLa7m1QiWeymjKikDglD8V4OtNi6WlEfvIOKJCtqLPRbHyoKMbo6iBwHNcLZUABoGlGqEr29Bcrk7+xHig5XYXsBFSN0vtJ0nWQsTrTsffyONlw/6h4ZT5PzYX9krwghhBCjLPAVUSTXImPFMDRMU5HLlscFsSiuLifE9kN0TWoaDYtSxH2HaWGW9sYWCeYNklnIEkbRuOuuo60rWt7iaeQC0GrqIJ8halxT7KaNe0EQ4Pv+Ru8bmU6UYxOa5qhlfEapNPg+tA88clwpabMVth+S1KMR2yeGU6Am04LmeTRlcoSVNYD8pgxkfOWCCiGEECXI9xW+G2GNjzIgZcGK6dgFhVJKulqJTWop+GScUEZ4GwLNdTCcPIadx3AKqMBnkmMzyXVwJlWizPFRfHu0aJ4Dnkuoj89jrsKEFh8+yMM+1XFUVTV88BZqylS0cbrNpcDzPIIgwFy/EHkYoHd1EHoOqqp21MIiyoqhkkmMxlWEDVuN0lpGhhMourwIPwipSIzM8WjlMyQ7mgkdlyhZiR0pKj1voy6S4iPybFYIIYQYZYGvUBEYWzAiixga09QIA4XnSZdIMbCMG1LwIpSmMEagRsh4pfkeZraDWPMqkiveJ7HqQ6zVy9Ca1uBnMriOjx2vQHk+sRUfFru5Jc/MZ8FxCGPjcwQtXYMaE1YUNPwItOo6yElW1Gjrrz6U0dWOcguEVnzUH8pEqQq0bCc49qiuZ0u1OBEFLyQ9EoPHKEWis5VkWxO+45JLVmCkKtB0jc5MO6oMRxIcK5IRJYQQoiS4TkRri4NifGWwKKUIfCQ7e4wZ665w8pmQ+CQJAIr+teZ9Ol2fKulO1lcY9GY7GXYePBd8D+U6BJpBpBuEsSSqopb1T25+TQOxtib0XBdRRXXx2l/ijEKGKAxQleOrW976qkxo9TRWFBQ7ViS6s6I+lKyo0bRRfajAx8h2EXjeqGZD9YgSKQxAa21EbbPDKK9teHK+ouApVBQS29LaUFFEqqMJM5/F9QKcVDUYBhoQjyew7QKu55KIj9/v+ZaQKzMhhBAlwS5EtLe44y6DJfAhDJX84o4xXdew4hr5nBQsF/0r+CE5L0RFYE300SyjCL2Qw2prIrF6Mcnl7xNbswxj9XLCjjY8u4CtTOyayXg1kwiq6lCJJBtG2INUJcq0sJa/D5IJ0C/N99Bcl0AzGM9PKCwdqk3FB3mNSK3LispmiJrWFrtp41J/9aGMzjYiu0AQS47NAz7DQKUrMJrXlOT3P1KKFjsi5wVUbOEgdloQkG5djZntwvZDnIruIFQP0zAxDJPOTIdkRQ1AMqKEEEIUXRgqfF/h2QERIfHJ4+em0PcVvhdhyi/umDNNDcdWRJEakaGZxfjSkg/IOCEVEzEbSil018aw8+hOT52nABybSEGATmjGiKoa+txcbZam4dU0EG9dg57pIKquG71tKFNGIQuuQxgbX6Pl9afaghW2RqunmBxPoCqrurOittpasqJG2Ib1oTTPRc9mCIIArbpyzNoRJdMYzY2Qy0BlaWVFdnkKJ4gwiDC34OGD7rmk29aCbZNHJ6ioYsOgsqZpxGNxCnYex3VIjrPRMUeCXBYLIYQoOs9VhL7CMDRy2YiGycVu0cgJfEUYQiwhgZCxZloaUS7CzkekK+WmR3zEDSK6nIAgUsTNiXFsaJ7T3d1uvQLjODZRqPB0nUg3CVM1bOmoCmEiTRRPElv2Hs5es0AfPw8WRoKZzxB5Hqq2pthNGXVJA5KG4r0cTI6DVlOPWrWMqKkRY+tpxW7euOK6Lo7jkEp11x0zOttQdoEwkRzTvLsonsSwTPTG1UQlFIgKlaLdUeS9kNrY8PeIaedJtTcRuTZ5M0EUH7jOm2mamKZJR1cHiXhiXJWdGAkSiBJCCFF0ntudEVVdY5JrVAR+hGmV/82LUt3bpWnIBUgRGEZ3rahcRgJRoq+Wgk/OC0mNg/PMQDTfw3Dy6OsCT/geuC7K9/A1g9AwCROVEIszol3ENA2/qp5480qMjlbC+nH0ZGFLBQGaYxNoJuO5W976aixodDQygaIqnkBVVMKHi9ZlRY3f799Yc10XAMMw0FwbLZ8liCK0sa5PpGlE6Ur09haiMBxaRuUoancUth8R1yI0bXjHXSzXSbyzlcB1KcRSqNjm9208liBXyJEv5KlIVwxrveOVBKKEEEIUVRR1B2sA4nEDFUE+F1JdW/4XqGEAUSi1AYpF0zSsmI5tS50o8RE/VHTZIW4QUZnewkIhpSYIiHW2dBcY9z3wXJTrEmh6d4FxK7FRgfHRECZShKkKrOXvEdY2SFbUOqadBc8j3MKss3JSYYChw4d5+I/q7lpRavVyoua1GFMkK2okbFgfyuhoQxXyhIlUUcKdUTKN3tkBHS3QMKUILejLCxWdrsL1A2riw9gjSpHoaiWW6cD3fAqpSjAG99thGAaWadGV7SSVTKHLubCX7AkhhBBF5bndGVCGrqEbGmZMkekcH4ED31cEQYRhTYwn36XINMH3InxvfBxTYsu1rcuGSoy3AuVhQKJxOUZrI2F7G14hv67A+KSPCownU4xVJo5f1YBWyGO2SnHqHkY+g3IdolS62E0ZM7oGtSasLGj4EWiJJFRUwgdvoSI5L4+EnvpQhmGg2QW0Qo5AKbR4cQKeyoqhkkmMtauKsv4NtToRBT8kaQxjVOYoJNW2llimA9fzKaSrBx2E6hGPx/GDgHwhN7R1j3Pj7BdYCCFEuekORCmsdRnOVkzHdbsLTJe7wFcEAVjjLOminJiWhkKjkAuL3RRRAsJI0W4HFPyIdHwcXQaHIYnGFWj5DE6k49ZOJqhqQKUrYJjdULZUFIsTVlRjLf8QgqAobSgpYYhhFwh0vWh/k2KpNCEAlhe6X/eMoKdaG4varvHCcRwcxyEej2N0tBLZBaIidwOLUhVouS5w7KK2ww4UWU8RBCGJIXbF1gKfipbVGLkMdhDiVNbAMIrsG7pBzIrRlekikuBrr4l1FhRCCFFSokjhewrFRzWULEtDhYyLwEFPl0OpD1U8uq5hWYpMVi7+BN1BKC8kZmjj53sZRSSaVqDlMrgBRBVVxW5RL6+qDlwHq2llsZtSdIadQ/keoRkvdlPGnKVDlQEf5DUitS4rKp1GvS9ZUSOhpz6U5RTQnAKhBppZ3CdgUTIFCrSW4gYbW+yIgheSNof2cNPwHCpaVqEVcuSVgZeuZktCJ/FYnDAKyeQzw17GeCOBKCGEEEXje4og7C7m3cMwNQxLkc2UdyAqDBVhqKD8E7vKnhXT8RyFGgdZdmL4IqVoLfjkvIiK8ZINFUXEm1auC0IpwsqaYreoD2XGCKpqMFcuQfO9YjenqIxCFmU7RMmJ0y1vfdUW5EON5nWHgVZTD12dqLam4jaszAVBQBAEoBRGZxtRIU+ULIGi2LqBqqjAaF4Dqji/vVkvwvYVRAExc/DnfN1zSbesRuUL5PQ4YaqCLe3SrOs68VicbDZDGJb39e1IGSe/wkIIIcqR5yo8VxHboIyBFdOxCwpVpIuXkRD4ijBQ6OY4ybooY4apEQUKx5Un7xNZpxPi+BG6Dvp4yIZSinjzKvRsJ54XEJbQUOnr8yvrIAoxVy8vdlOKJ4owCzlCTR9W157xIGlAylC8l+3+7nXXiqpAvbdIsqK2gOu6+L5PzLPBsQl1A80sjfHIomQanALkxj4LKFKKVkeR8wLSQ6nTGUWk2huJXIdcIk2USI1Ym6xYjEgpurJdI7bMciaBKCGEEEWhlMLzFKDQNygabFoaQaBwyni0M9/vHg3QGmI6uBh5ptldkiXXVb7Hk9gySila8z5dbkh1YhwEApQi1rJ6XRDKJ6ga/ZHwhksZJn5VPebaZWiOU+zmFIXh5FG+T1giAYJiqbGg1YPMugHetOo6yHSi2pqL27Ay5rourm2TymeJ7HzRa0OtL4onwbLQi1C0vNNV2H6EoYWYQxiYItnZgubYFDQLZY1sN1pd686KyuWzBIG/+RnGOQlECSGEKArP684Y6i8xwTS7R/vOlnHgIPC6u+VtGGQTY0/TNKy4TiFfvseT2DJZN6TgR2iMg2wopYi1rsHIdOA5XkkHoXr4Fd3ZWtaqJUVuSXEY+Wx3tkpiYnbL65E2wNDgg3z3ay2ZglQF6n3Jihou13XR8lk03yXQTTS9hK45NI0oXYne2QJj2B0tjBTtrsL2QiqHUKDcymewcl24YbSuO97Ii1ndXQAkK0oCUUIIIYrEcxWuG2H1M7qwpmnE4jqFXFSW3fOiSOEH5dfu8cw019UkC+RmZyJqKQR0OT6V46A2VKytEaOrHd921gWhymCbdAO/ugGjeTVaIV/s1owtpTAKWQIFFLmAdLHpGtRasMrWcNfFJbSaOuhqR7W3FLdxZSgIAnzPw8x0Ejk2qqKy2E3aSJRMg+9Dx9j9fdscRcELievRoAel0H2PZGcrgefhpqoYreC+pmnE4wlyhTz+BK+bVwa/XEIIIcYbpbprQ6HAGCBjyLQ0fD/C98ovoBP4iiiacCN0lzTT6h6tqZCTQNREk/dCcm6IQsMq8wxFq70Jo7MN37bxq+rK6iTjp6pQuk5sxQfFbsqY0p0C+B6hMbG75fWoNCEAltvdr3uzot57sywfPBWT67oEHa1YoU9oxkpyJFBlxVDJFMYYdc/zQkWnG+EFIanYIM+Pal1dKMemEE+Peh03y7TQNY3OzMTOiiqfXy8hhBDjhu8pogG65fXoLqWhkcuW3+givq/wB8j2EsVhGBqmqcjlyu94ElumJe+TcUMqB3tTUqKsjhbMjhaCgo1fVV9WQSgAdB2/pgG9vQl9At2AGQXplrc+S4dqEz7Ma4Tr4k7dI+h1oNokK2oonEKBoK0VMwpRqZE/viLVPdJhYQt/NqNUBVquCxx7ZBq2CS12hB2EpIdQnzPR2YpuF7CNGCqWGMXWddM0jXgsQcEu4HoTs24eSCBKCCFEEXiewvM2HajRdY1YHLKZ8stgCXyFigbO9hLFYcV0nDIfjVEMjRNEZNwQP4qGNHx3qTG72jDbmwnyBbzKmvILQq0TJCtRZhxr+ftFG9J9rJmFLGGokCcTH6k2oRBqtKzrmdSdFZVGfbBIzs9D4LY0gusQxeIjlg0VKsgEGms9gyWOxQrH5O2sTpNnEA3zTxMlU4CG1rx2RNo4kIKvyPmKwA+JD/J8bxZyxLJduEFIkBy7YLFpmui6RmdX54Q95sckR9TzPK6++mqCICAMQ/bff39OPfVUcrkct956Ky0tLUyaNImLL76YioruwmCPPfYYzz77LLquM3fuXGbOnAnAkiVLuOuuu/A8j3322Ye5c+eiaRq+73PnnXeyZMkSKisrueiii5g8efJYbJ4QQogh6OmWF0UahrnpCyfT0ijkuuv6mGVyE6mUwvcp9drBE5JpajiFCNeWrKiJojXvk3NDKq3yHSnPzLRjtTYSFgp4FbVQzl28NA2vup54yxqMrnbCmvpit2hU6a4Nnkuol/HfbBQkDEgZineyGlPi3TfhWk09as0KVFsLWoPcw22ObxcIujrB91A1NVt0yeFFkI90cqGOE2l4EdihQlMROgpND3jX0cnFNaYnAoacXKobqHQFRssaguk7sMl0+GFSStHiROS9kMpBlmLTA49kZzOB6+KkqxnLC7eeWlHdWVEuifjoZ2KVmjG5qrcsi6uvvpobb7yRn/zkJ7z++uu8//77PP744+y1117ccccd7LXXXjz++OMArFq1igULFnDLLbdw5ZVXct999xGtG0nhZz/7Geeeey533HEHjY2NvP766wA8++yzpNNpfvrTn3L88cfz0EMPjcWmCSGEGKLAZ91oeZt/AmRaGoryqusT+BCFSnKOS5BpAhp0dHgT9gnkROKHEZ1OiBdGJMq0W56R6+wOQuXzuOnqnj7LZS1MVhAlkt1ZUeN8pLTu0fIcgmSq2E0pOTUWtHuQWTeKvZZMQTIlWVGD5K5djZ/LQiI15GwopcCONFp8g2WOyTLHYoVj0ORAxgsJg5BqLaTWjKg2FVvFocEIWeFovJO3yIZDD9iEyTQ4DtoojRaX8RUFX6GpYHAPLlVEsr0JXKe7LlQRAvymYWIaJh1dHRPymB+TX2VN00gkuqN8YRgShiGaprFw4UIOPfRQAA499FAWLlwIwMKFCznwwAOxLIvJkyczZcoUPvzwQzo6OrBtm5133hlN0zjkkEN653n11Vc57LDDANh///1ZtEhOYkIIUYo8N8LzIsxB9FIwDA3LUmS7yieDxfcVvheNh/vFcUfTNeJxnbYWj9amgGxXiOtEqOH2NxAlrbUQkPdCEmWSTbkhI58h1ryGKJ/DrageVyOuedUNaNkujDEcSasYjEKWKAhhDOrOlJu0AYYG7+c+ek+rqYeO0h1BL4xKo2u3cl2c9jZ8xyZRWTGoeSIF2VCj0TNY4lost01WOTqtriLnh5gqoM4IqTUVFaZiw8oCSUMxLRaQDWBR1hxyVz0VT4BloTWuHMKWDk6kFG22ouAFVFqDO98nutox7AIFjO62FUF3VlQcz3Ox3dGvn1VqxuwyOYoivve979HY2MjRRx/NTjvtRFdXF7W1tQDU1taSyWQAaG9vZ6edduqdt66ujvb2dgzDoL7+oxTe+vp62tvbe+fp+cwwDFKpFNlslqqqqrHaRCGEEIPguYowhHhicBcLVkzHcRRRpND10u/vFvjd2xdLlH5bJ6JkWiOZMGhpCclmQkxTI5nUSaR0YnENK6aVxXEmNk0pRacdkPdDJqXLL4CjF3LEm1cR5vM4qSoGFbkvI1E8SZiqwFr+PmFNAxjl23VyIJrnorkO/jjctpGga1AXg9WOxl6hIm6AlkqjkknU+4tQ+x9eUqPAddoBK7tcFJC0dOKGTtzUiJs6CVMnZmjoY9Xe1ibcbIbQ2vRIeb6CfKiTDzXsSMePoBCCIsIkIqlBbAjRAFODra2AjlDnnfwQu+ppGlG6Er2zjSgMR/Q73+EqnCDCJEQfxIh3pp0nlu3E9UOCyuoRa8dwmIaJaZp0dnWSjCdL6pgfbWMWiNJ1nRtvvJF8Ps9NN93EihUrBpx2oEjzpiLQ/X3W3x/y6aef5umnnwbghhtuoKGhYXNNLwumaY6bbRGlS44zsaV8L8KzHTQC0pUb/wQZhkF1dd+LglQqoqPVJZmoorKqtG8olVKEnkMU+P1unygNhmGwTaKuu16ZF+EUIgp5he/ppNMGybRJImGQSBjoxsS5KBxP8l5Awrao1jyqK4sTxOnvfDYYWiGHlW8niBTupK2oGKfZNFpsW6xVS0g4WdTU7YrdnBFntDejmwbU1pMYpSLIuq5TUVG+o/ElIkU2E9Gm6+xW3f2bGZnbE6xaTpIIo2GrIrewW0vOpcu28UwNx4/IeoCCCEjFdNIxg4Spk4qZJEydhGV89H9LH9EAVWTnKaiAmKGTrq79/9n78yDL0vq+838/z1numntWdXf1CjS4hRbT0EgIGWhDW+ERDsWEgwmCCDustmRjY2MjbM9MjGwpsEeBZAXIEt3IDgnZw4xCg+ywHAqPLexWh2gspJ/RgmSERO9L7ZXr3c45z/r742ZmV3VtWVV58y75fUU0dOfNzPtk5l3O+Z7v9/PQajUuub3ww53uuk5RBSiBkoBWgTQbjtklN5hZprWm0Xj1dagJDByctQnWw/31yMJ+Ds/yjKQcoGyBWr7zhtZwNdZHzjgDacVt7euHtitnaW6ewamIWT5GYwLa17M8pdPtEFVgrj2PTlJWV1bI67VxL22kDv0332q1ePOb38zXvvY1FhYW2NzcZGlpic3Nzb3upZWVFdbX1/e+ZmNjg+Xl5cs+vr6+zvLy8iVfs7KygveewWCwF3x+sUceeYRHHnlk77/X1tZG9aMeqtXV1Zn5WcTkkseZuFWDnmdrw6G0woXLDxYWFhbY3r40PyDGSFl5Xnyh4o47J7srwNnI5oajKgMuTOc40FFw2eNMg1aRqop0tiMhDKN4anVNo5mQ1xR5rqQoNUXO9yyn1wsyrdgO4xl5uNLr2fXockD97MuU/S5FrQ3Gg+mPaIXjV8vqJN/42vBnnYATwoNUP3eauLVNuXQMeqP5G7bbLXoj+t6Hpe7hD87DbUQSNXzPjz7S/50vo9/xnrF3iFzoW850DRuFZS5PmL9o1DfESFEEznYiNgRChEgEFPVE0cg0eZLQzDW1RFFPNbV0p5Mq0SQ30X0bX3mB7isvsW08MVZ0Y6AIip7X9IPCBkXhwcVh2HiuI021kw/uwdzE76DRqFMU5SUfU8CxCOd7KRt9eH0jcDz3XO9HSpWGZ/4EX9/fSOH1nBsELvQdSbAMwnW6oWKktXaaotuhl9QI1oF1B7KOWxbgzNkzcFxhrGNtfZ28NtnHvPtx4sSJq952KEfJnU6Hfn/4ImmM4X/8j//BnXfeyUMPPcSXvvQlAL70pS/x9re/HYCHHnqIr3zlK1hrOX/+PGfOnOH+++9naWmJRqPB008/TYyRp556ioceegiAt73tbfzmb/4mAL/zO7/Dt37rt479hUsIIcSlqp2xvCzf/+uzUoo815T9MBHZDNdi7XCHP32d3QDF5FFKkeWa9nzC/OKw+FQUgbULlnOnDRfOWbY3HcUgDLdiFxOtZ3ZCyrPpeS6qqqR29mVCv0+Zt45ErpCZWwZTkZ07+NyYcVLOosoCrzSyheq1zadQeMW5avjfSinU0gpsXiBurl/7i0fsXM9wpmtYLyxzeUr+mrw5rRStPGGllXL7XM6J+Zw752vcMZfRzDWFjawNDC9ulnxzbcDXzvT5g9M9/uhsnz862+ebawUvbpY7hS7HwHr8NYKXYr9H7HUYFCWbQbERazxfZrxcppwqNZtVZGA9NV7Ne2rpkWxSB7w6qperwJ/2Nc8XKeY6+w+EZgvV7UB56xcISh/ZqgLWehr59Ufyat1NkqJPgSLUG9f9/MOU12pY5+j1e9f/5BlxKJceNjc3efzxxwlheBLx3d/93bztbW/jTW96Ez/90z/Nk08+yerqKh//+McBuPvuu/nu7/5uPv7xj6O15gd/8AfRevjE/6Ef+iE++9nPYozhLW95Cw8++CAA733ve3nsscf46Ec/Srvd5mMf+9hh/GhCCCH2ybmIc/GmDojSTFEOAqaM1BqTe1DvbMQ5mLDjG3ET0kzT3hk1cDZQFZF+z5HoYadUvamp1Ye5Uol0Sk0UHyIDOzwbmpaLkspU1M++RBz0KNMGsXY0XkRimuHmlklfeR53/E5iNv0dADAMKcdUuCO4JfuNqifQSiLf7ClO1HeKMI0m1JvDrKjvGk9X1Jmu4XzPslFaFmoJ2Q28zmulaGQJjdeMq8U4zDIqbaRrLL5nhlWiCFkCzd2RvlRTz17Nnqqnw/G+7qkzbF8YcNY32LCBEDUqBhIibR1JxxBHphQsp4GGirxSJvR8xusbnvn0yhWp0GiSKIU6f5p4zxtu6b7XikBhPa1s2IV2LUlVkHc2MMZi24u3dL+jkOiEPMvpdLdZXpqN18HrUXHSLy+P2OnTp8e9hAMhI1PiMMjjTNyKQT+wtWF3Ok+ufMBwtVGWGCNbG57F5ZRjt01uTtTGmqPf8zSaMpY3yW5mZGqXc4GqBO+HRdVGXVNrDItStZoikW64sdsuHc9tlPSMZ6kxvnGv/T7OlDXUz7xI7HUpkxpxRHlCk0p5R+P0i7g778Xe96ZxL+dA1M68hDp/hmLpGKMcQJmF0TyAroMzJTxy7NWsodjvEc+eQr3jYfTy4eWTxhg51TWs9R2bhWWxnpC+dgu5Edxn5SID53EenA/EneJbpqGRJdRNgT13hn6nS4+At5bFRu26o3AH4UqjeVfiIlywCUopXtcI3HaVUb10cw1lDe6t7wR1c7/bno2c6np6lWHpOpvfKO9pnx92m/aa85BM5nFkCIFev0uz0eJdf/57ZDRPCCGEOAimCnh3czuQK6XIa5p+9zo932PkfRyObB3pyzuzL001rbZmfiGh2VRUJrK17jh32nD+rGFz3TLoe5yTB8K4dI2nU3nm9rWV03gpZ1/thNL5kStCAcQkxS4sk555CVVe/2R34nlHUvZxKkFOtfanlQzHvJ6+eCqp2YJ6nfjM1w9tLD/GyCsdw4WeY7NwLDXSkRehYHiMU880y42M4+2MEws17pzPOTGXsVBP8T5gzp2h3tug3cxpKc9crg6lCHUjUgW3Z55cBb7Z1zxXpFRXOGzzjRaU5XBE7ybEGFkrAj3rmLveMWWMNDbPQVkyyOoTW4SCYSh8rVan2+9h7M2keU0XeXUUQggxct5HrB0eSN5si32WgTURe70AgjFxNuJtlHyoIyTZKUrNLSY0WwpnYGvDc+605fwZw8aaZdDzOCtFqcPUq4ZREIdxAnlLnKN29iXodanIiM2DCe+dRra9QFSK7JVnxr2UW5YMekRj8Nls73h1kLSCpRxOlorSDz+mlEItrsD6GnFrY+RrCDHy0lbFWt+wVTqWm8lNhYkfJKUUDTvgtu3TrFKSZjkecN6TTmhBZXdU73jqOVXBN/oZHXfpa3Gs1SHLUGdvLhtu20QKF0hiuO7rfN7bIh30KCOE+uQX+rMsI0tS9E12ik2T2f8JhRBCjJ2pIs5G0lso0qSZIgK9rj+4hR0gayPWRbJUig5HUZJqGm3N3EJCs61wDrY3PefOOM6dNWxcsPR7nnCNIFpx60oXqFxg4gOivaN+7iVUr0tJQjjCRSgAdIKdXyG5cBY15WG96aBLrEpCc/JPeifJXAoBeOniDOtmC+q1YVbUCLuifBgWodYHlk4VWG4m6HHmy8VI0u9QP/0CtdMvotbPY8oK357H+eEub5Oef1dPIndmnoGLfL2XcKZK2Hv7U4rQmkNvroO/sV3rfIysl5FBNewKu5akKqlvr2ONwTTnb/InOVxaadIsm/i/70GQQpQQQoiRM1XA2kh6C+PuWiuyHHqdCe2IMsOxPD3pXRhi5JJE02wNi1KtOUXwsL0VOHfa0dmckK2iZ1S38gysp5lO8PPQe+rnXhkWobwitKbjBGnUXGueqBPyl6e4KyoEkkEPr9RNZ98cVamCxRSe7St2NyYddkWtwsYF4vbmSO7Xh8iLO0WorgksN8ZYhIqRpLtF/dRz5GdegvULmKKkaM7j5lfwIRK8n/g6+65kZ1SvdoVRvdBognOwfuGGvudmGSlsINP+2sWa4GlsnCWUFYPGvDwfJ5D8RYQQQoxU8BFjhsHOt3qFJ88VVRnxbrKKUSEMu6GEeC2tFY2mZm5Bk2awuR6I0hU1Mj3jKWygcZ0r5WMTArXzr6C621QewtzCuFc0OZTGLq6gN86jOze3mcC4JUWP6CxOy1jezZhPofCKs6/tisprxKf/+MDvz/rI85sl6wNL33iWG8l4OlFCIO1s0Dj5LPnZV4gbG1SlpWgv4eZX2L2K57zDeUeip+cUXilYes2o3rbTxCwnNpokNzCeZ0Nks4qU1tHKrv07aGxeQFUlg7R2c+GkYuSm51EshBBiKhmzk510AFvcp5kiBBgMJqsQ5WwkBFBj2DpZTI+8pnAuUEzY43dW+BAZmAAHUPQeiZ0ilO5uU7mAb0sn1Gu5xhwxq5G/9KcwhRt7J/0usShkLO8m1RNoJZGn+2rvz6+UQi2twMY5wgF2RVkfeGGzZHPgqFxkuTmGcSjvyTYv0HjlGbKzrxC2NqmMo1xYwc8vQXLprp/OuYnOh7qW147qna4SXLON6nehGOzre6wXkYH1NJJwzb9V3tsm63eofBgGo4uJJIUoIYQQI1WVw6Dy/AB2oU0SRZpFutuTlRNlbcRWgWz6jg3FIUpTRZrBxoaM543CwAaMD6STtpUUQIzULpxCd7YwxuHnFpma+ZrDpBRmcRW1vUmyvT7u1dyYGEkGXTxcVkAQ+7eYwbqF7YtfJpttyGrEb379QO6jcoHnNys2CocJkcXGIV9Fco5s4xzNV54hPX8Kv71N6aGcXxm+NlxljGxa8qGuZndUr64CT/c1T8cFypigzp+57tcWLrJtAt55GtnV/17aVNS317CVoZqSXKijSgpRQgghRiaEW98t77WyXFMO4kSNNzkbiWGYDSTEteQ1TdmPWCtdUQetZzxd4687snHoYiS/cHqvCOXml5Ai1NX5eovQaJG98E0I0/M80WUfnMVruSJxK5oJ5Aq+eVFm/UF2RZUu8PxmycbA4kNgoX54RShlDfnamZ0C1Glcp0MZNdXi6jAr7ho5Rt57gvdMaQ1qz8Wjeqet4hvpKt3zFyBe+7m+VgQGxtO81oYwIdDcOEsoC4pGG7S0qU+yCXunFkIIMUuGu+UFDjLOIMsU3kXKYjJOUGKMWAtxyg8OxeHI8uHuj52tyerqmwXdyuNDJJ+woPJ87QxJZwNbVrj5RaQIdX1mfgXV65Ksnxv3UvYt7XehKPAylndLtILFHM5UivLil8lmG9Kc+OzNZ0UNrOeFjZLNwhGB+frhdK4pU5KfP0Xj5LMk589guz0KlQ0LUM059vOaMBzLc+gpyoe6lr1RvaTGN3ua0+e28VcZx+2ayMBGYvDXfH1vbF1AFwMGOidmktM26WbjkSyEEGIiDQtRkbx+cCdeSQo6hc72ZBSinB0Gss/IsaEYMa0VtbqisxlGuh35UWN8oHQBJuxXmq2fJdlexxYldn4JOfTen1Br4Ntz5C89A34Kira7Y3kRbml7WAHAXAohwgsXRQftdUWdP0dYO0909oa+Z994XtwZx1Mo5mqj75bR5YDa2Zepn3ye5MIZTK9PkdYxi6vERosbKUo7b6c2H+pqEgWrjYQ57XnxlXM8u+ko/aUv4iFG1spAzzja1/jRs0GXrLdN6SO+2R7xysVBkAFmIYQQIxFDxJpIjAebZ6CUIss1g/7wRH7cWQnWRqwJEgki9i3PFZ3CU/QDzbaMDhyEbuUprKeWTU63UbJ2lnRzDVeU2Pll2T78Btn5FZLTL5KeP4W7455xL+eadFWAMTgtbwQHIVWwkMLzfcWb2pG9vU5abchz4h//PiwfIzYaqHoTanWoN4b/n+WXHRf0Ks9L2xWbA0eqoVUb7XNRD3pk22voQZ9YDLARbLMNWf2mv6dz050PdTVKK5qtOnf3L/Bc5wR9W+P1ixmLO3+jbRMpXCAhkF4l/kBbQ2PzAs4YquYi0nU6HeTVUgghxEgYE3E+juTcK8sU5cBjTKRWG+8Bh7MR7znQri8x29JMkaawueGkEHVAeiYwMIHl1mQc2qZbayRFF1cUmDkpQt2MkNVw84tkLz+HO3YC0sn4215J0u9CWeDr0olxUBYy2LSKM0XkrubwY0ppOHEPcdAjdjdhY+3VztJaDZptVKMO9eZOYapBh4xXCtgoPPVU08hH9FyMkaTfIdteQxUFsRhglMY15iG7tS457z0hhKnPh7oaW28x193gPrvJqfQYX78QeN1CzvGWZr2MFJVn8WrHejHQ3DhHqAoGtRYk8p46LSb3FV0IIcRUM1XEVJF8BGP6aTo8r+tte2rHx3eCN8yHiqhJ3S5eTKxaXVPshJZnkxauPWVCjPSMBwV6Ap6HylmyjfPY4DHtRWRu9+bZuWXS3gtkZ17C3v2GcS/nqtJBFx8C5Dff8SIuVdPQSiLf7CvubMS9IozSGtWeh/arO6LFGIhlAf0ucXuDuBN8vaVrnGKOXtAsNTLyZp1QaxDyOiGrHUzRIgTS/jbZ1jpUOwUoneJaCwc2plmZCucdiZrNIktIM1ytSWPjLLe/8TjbVeTpTcNWlRKJ5DoMi5BXUN9eRxd9+qREef5NFSlECSGEOHAxRoyJQBzJTnJKK/KaotcLrBw/8G+/b94N86Em4NxXTJksVwx6kc6WZ+WYFCpuxcAGjLtofGfMdNEHU2Fa8xDlb3srYprh5pdJT72Iu/1u4i12loyCMiWYCi87dB24xQxOV7BlYekaf3qlNKrRgsarQfHrVeRU17Ldr5j3A/K+R0dPkiTDgmGeQ71JyGuEvI7fKVDtu/MuBNLOJllnHaqKUAywSY5vrxxoV461lqoq8d6Tj+LK3oSwjTaN7QskVcFivUk9DZwfGBqJYrVx5Rf3dNAj72xROY+bWzrkFYtbJYUoIYQQB86aiHejLdCkqaLoD3flS8fUUWJtxLmATifkDFhMDa0VtYaisxVYXh1/1tk061WennE0JqSzLCn6xKpCrbZgUIx7OVPPthdJO1tkJ5/DvO5bxr2cy6T9LpQlPm+Oeykzp5VABjzdh++6gRrkBQNnKs0GOXMLNbSep9q5TXmDLgp0v0B3u+jgSYG0VodajVhrEGvD4lTIhx1UMc3YO6DxjqyzSbq9DqYilCUmrREWVg98BDeEwKAcYKwhS7OZfp8wtSZ1FNnGBaoT91JPNffMXf3zlbM0ts7jKkPZWkByoaaPFKKEEEIcuKqKVFUYyVjerixTDEKk3wssLI3nBNTZiHPDKAohblSeKzoDTzEINFvSTXGzusbjAtSzyfgdJmUfrxSJjOQdiJik2IVlsjMnUXfcR5ywF9xk0CF4S5SOjAOn1LAT6nSpKH2kvo+n+LkKzlaKTROZTxWvrU/HJMe3cy7ZizE4dFmgyxLd66FjII1hmO1Uq0NeI9YbhDQjHfSIZYE3FpvVCIurjGo3zKIssNaglELPevaR1thGm3zzAtUdd1+7qBcjzY1zUJUUtYbkQk0pKUQJIYQ4UDEOs6GIjGQsb5dOFGke6XQ8C0vjeTuzdhiSOstXKcXoJCmkGWytOylE3STrI4UNQLzu5x4GZUqwBq9TZmeT9fGz7QXS3ibZK89i3vjt414OhEAy6JBtb6DKAqsTpCNjNObSYYfT83148/y1P/dMCeeNYsNGFq5QhLoqnRKac4TmRS04MaCrcligGmyj4zoasFkNmzWIi6PtwjHWYEyF857aDI/kXczWW+SDDkm/i28vXPXzap0NknLAICaE2mQVpsX+SSFKCCHEgbI2Etxodst7rSzXlEUkhIjWh3sS4H3E+zgp579iCimlqNU1g8F4R0ynWc94jAvkExIQlezkQ/lb2KZdXIFOsPOr5BfOok7cR2xdY2ZnhJSzpJ1N0t4WVNVOMHWCa0o31KgkapgV9fxA8WfmrpwFF+MwS+pCpdi0kcVUkd7qy6nShHqTUD/8kcsQAkUxHMlLk6Nzuu7yOiHNyS+cobhKISot+9Q6m1TGYeeuXqwSk0+OeIQQQhwoU0WMCWSH0A6QZooQIoOev/4nHzBnI95GyYcStyTLFTFAZ/vwH8OzoGs8XeNpjWpL9huUFH2iscSGXKU/aK41R0wS8peePvT71uWA/PxJGq88Q3r+JH5rk9IGioVV3PwKpNLROErzKZRBcfoKkWsxwslyWITaspGl7ACKUGM2KAYYZ1BaD8PVjwqlMI02aXcL5d3lN3tHY+M8vqoom3NIKWO6yV9PCCHEgdkdywsBkkM4EkyS4fF/txNGfl+vZW3EukiWSkuUuHm7oeXbm4EY5bF0I2KM9KthAW8i8phiJCkHeCVjWiOhNHZhFb25hu5sjf7+QiDpblE/9Ry1U8+TnDuN6fUpVE61eIzQnj/wcGpxZTUN7STydF9x8ctkiPBScWkRakKaI29aZSqMrfAukKVHb8DX1luo4Em31i+9IUYaG+egLBhk9eFsu5hqN/XqaYzBucurlEIIIY42Z8G7wzuZVkqR1TTF4PBP4p0ZjuXpEeZgiaMhzxXOBIrB4RdUp1nhAsZH1IQUfXRVEJ3FH6UOhkPmGm1CXiN/6Zswotd85SzZxjkarzxDfvYV4vo6pigZNBewC6vERgspNB6+xQw27fAfAL9ThFo3iq4bFqEOeUL/wHnvKcoCYy3ZYbSVT6CQZrhak3zt7CUfr3U3SYs+RVRjGZcUB29fR8+f//znefbZZwH4/d//fR599FF+4Ad+gN/93d8d6eKEEEJMF2PCcCzvEHM100zhbKQsD+8kPoRhN5QQByFJQWewtS7jeTeiW3l6xtOckGytpOhDWeAlPHd0lMIuHENtb5Fsrl//82+ALvrUzr0yHL87dwq/vU1pPeXCynD8LssP9P7EjWkmkGt4uj8sQr04GBahen42ilAxRgblAGsNidLoSejyHBPbaJOUfXQ5ACCpCvLOBqay2NZ1EuvF1NhXT9t/+2//jQ9+8IMA/Lt/9+/46Ec/SrPZ5P/6v/4vHnrooZEuUAghxPQwZcR7qNUP7wAqTUFr6G0HGo3D6URwdjh+qKTxQRwApRT1umYwCBJafgP6JmBcYL49GZ0DuuwTfIQjssPVuPh6k9Bokr30Tfzi8vAN4GaFQNrfJu0Md79jMMCgcHmTuLiIdD5NDqVgKYMzpeLZPmw7KH1kKVXMwsa1lamw1uBDODK75F2NqTWpo8nWz2Nuv5vmxjlCWVK05mQcdobsqxBVVRW1Wo1ut8u5c+d4xzveAcDa2tpIFyeEEGJ6OBtxLh76AaFSirym6fcCxw7pPq2N2OpwO7/EbMtyxaAX6Wx7llflQPt6fIgMbCBOygloCCTlAKMVUrwYPbOwSv3sS6Tr53DH7rjhr1fWkHY3SbtbYCpCUWKTBNdckM6nCTaXwpqFkwXketgJNQu895RVQWXMkS9CAaA1ttkm31ojqeVQFhRpHRJ5bs6SfRWiTpw4wZe//GXOnj3Ld3zHdwDQ6XTIc3kwCCGEGDJVwNpAOoZd5NIM+t2ANYHsEHbPcjYSAySSDyUOiNaKWn0YWr60ElGzcIl/hHrGU/lANiHzOLocEJ0j6Mnozpp1Ia/j23NkLz2DWz4+3LliH3TRJ+tsoPtdqAq89dg0JyysSKfFFEgU3FkDG2F+RnasjTHSL/oYY0jSRF77d5h6i7y/TdrbpggR326Ne0nigO3rFfcHf/AH+eIXv8gf//Ef743o/eEf/uFeUUoIIYSoqohzw86Ow5Zmwy6Ebnf0GTsxRqxlcjoxxMzIajuh5YWEll9P13i6lad9CIXn/djLh5IQ3UNj5lahGJCeP3XtTwyBtLNB/eRz1E6/gDp/BtvrU+j6zu53C1KEmiKNBOZnaMO0siqxzhJiJEukkL3LZzV8Xsf0B5jWwriXI0ZgX0/j1dVV/s//8/+85GPvete7+PZv//aRLEoIIY66sghkmSKZkit+zg3H8sbVnKC1Isuh3wksr4z2vpyNBB9vKZZEiCtJLwotbzYlgOxaetVwp8x0QroSk7JHiMhY1yGKWY6bXyR7+Tn8sTuIr9nqXllD2tkk7W6CNYSiwCYprrUAqfydxPg55yirAiMjeZdTit7yHaAi++ydEVNmX3/Vv//3//4VP/7DP/zDB7oYIYQQw0JHt+NZO2+JYTp2ZjNVxJow1sJZliuqMuLcaLtJrGXnZx3p3YgjaC+0vD8MLRdXVrpA5QITk8XkHaqq8HKydOjs3DJ4Q3r65b2P6aJH7dwr1F95lvT8SXynQ2kD5cIqbm5ZilBiIsQYGRQDjLVkaSojeVeiFFKEml37OoyO8fITocFgcKS3lRRCiFEpi4CpAr1OIK8rlpYnv1XbVAHvYJxTKWmmCDEy6AXmF0f3/uTscGfAvC4HjeLgSWj59XUrz8B6GhOyu2BSDsBZvBQ4Dl1MM9zcCunpF4lz86T9DqosiMUAi8LVWsRWY9zLFOIyRVlgrEHFSCJXtsQRdM1H/d/+238bAGPM3r/v6vV6fM/3fM/oViaEEEdQCJGqjAQPzbZi/byn2dTU6pM7puN9xNrhBYtxXtFLEkWaRbrbnvnF0RzUDfOhhjsDytVLMQp7oeVbElp+NT3jKVxgtTkZJ29J0YeiIMyvjnspR5KZWyTtbpK9/BxBKayW8Tsx2ayzVFWJc5ZcRvLEEXXNd/CPfvSjxBj55Cc/yUc/+tFLbltcXOTEiRMjXZwQQhw1VRmxNqBTyHONM4Fzpx133qtJksk8ITVVxNk4lt3yXivPNWUZiSGiRhBY5R0EPyxECTEqWU1RbXuKIkhW1Gv4EBmYgEJNTJEuKfp4pfa9c5s4YDqhPH43mIrQakvwuJhoIYbhSJ4zZGk2Ma9jQhy2axai3vzmNwPwuc99jlpNqrVCCDFKMUbKQcDaSL0xPMlqzmk6W56NNcvq8ck8YDHVcM2N5vjXlqaKgQsMikCrdfAnhdYOM6j0BBTdxOxKU9AJbG1IaPlr9W2g8oEJyShHWQOmwktcxViFvAbSWSKmQFEWWGsgKrQUr8URtq+e5iRJeOKJJ3jxxRcpy/KS2/7u3/27I1mYEEIcNdYMd55TvDr2lSSKVluzvRFotgKt9mQdtAQfMWZyRtWSdPhPd8uPpBDlbMQ5qEvkiBghpRS1umbQCzgXSFMpcuzqVZ5e5WnVJuN3kpR9sAaf1Me9FCHEhDPWYKpqZyRPXjPE0bavQtRjjz3GSy+9xNve9jYWFhZGvSYhhDiSymKYD5W95qJuXtNY4zl/2nH36zRpNv6Czy5jIt5F9AjG4G6GUoos1xT94dbuB10cm4QsLHE05DVF0R9mni2tTEbRZRJ0jcfHSD4hLVG66BOrkrh4fNxLEUJMsBACRTGgsoY0zeU4Qhx5+ypE/eEf/iGPPfYYrVZr1OsRQogjybtIVQUikeQKJ1iNlqazFbhw1nL7XZMzoleVEWsi9QkYy9uVZYqqCBgTqdUObl3eR7yPcPlGskIcOK0VeQ22NwOLyxJaDlC5QOXCuJdxiaQc4FQiuURCiGsalMNcKK01iYzkCcG+3jVXV1ex1o56LUIIcWSVRcCaQHqVQHKtFa05Tbfj6Wy5Q17dlYWws1vehIzl7UozQEF32x/o93U24m2UfChxaIbdkIGqmKziy7j0jKewnvqEnMQpU4I1BD0Z6xFCTKbKVBhT4bwnS7NxL0eIibCvjqh3v/vd/NRP/RT/0//0P7G4uHjJbd/2bd82inUJIcSREUOkLCPeq2sGfmfZ8Pa1c556Q1Orj/fkZ7hbXmDSMnqVUuQ1Ta8bWD3AaRlrI9ZFhnt3SDFKjF6aDUPLNzc8d0hoOd3KM7CR5eZkvOgkRR+qCp9J1osQ4sp88DsB5VaKUEJcZF+FqF//9V8H4Jd/+Zcv+bhSiscee+zgVyWEEEdItVPQUTpyvQJHvakxNnD+jOfOezT6Kh1Uh8FUw46oen3yijJpBkVv+HtNs4M5aXVmOJanJySbRsy+3dDyvoSWE2KkbwMQ0RPSgZkUfaI1xPbSuJcihJhAMUaKYoC1Bq0TEumeFGLPvgpRjz/++KjXIYQQR1ZZBGwVqe0jZ0kpRXtO09n0bKwrVo+P5+paDMNsKCKoCQkqv1iWKQYx0u95FpZu/eQ9hGE3lBCHLc+HoeW9TmBx+egWogYmYFxgYl5uYiQpB1iVIB2SQogrqUyFsQYfPDXZJU+ISxzdIxohhJgA1uwUdG4gZylJFM22ZmvdM+gfbA7SfhkTcT5O3FjeLq0VaRbpbB1Mto6zkRBAycVMcch0oshqsLXpifHoFkN7xtM1nlY+GS86uiqIzuL1vq7pCiGOGO89ZTUcyctfux2yEGJ/HVGDwYB/+2//Ld/4xjfodruXHAj93M/93MgWJ4QQs64sAqYKpPmNfV2trrHGc/6M4677NOkhB2ibKmKrwCQfW2W5piwiIUT0LbZRWBuxJpDd4N9JiINQq2l6HU9VBOpHNCuqazzOR2qNySj8JEUfygJfnxv3UoQQEybGyKAYYK1FJXqiNnQRYlLs67LSL/zCL/DCCy/wgQ98gF6vx1//63+d1dVV3v/+9496fUIIMbOCj1TVsNPmZrJfmm2Ns5G1c/ZQOyVijBgTiUAywXlJWaaIHga9W+8asyYSw2T/vGJ2XRxafhRZHyhsYJLO5ZKiR/ARZNxGCPEalSmxzhBCIEskoFyIK9nXEfUf/dEf8Q/+wT/g7W9/O1pr3v72t/PDP/zDfPnLXx71+oQQYmaVZcCZQHKT3UxaK1pzmu62p7N9eCeo1kS8ixN1UnglSapIskj3Fn83MUacg6M7FCXGbTe0fNAPeH/0Hok9E6icJx/j5gyXCAFdFfhJnU0WQoyN846yLDHGkEkbtRBXta930BgjzWYTgHq9Tr/fZ3FxkbNnz450cUIIMatijJTFcNe5WzlOyXJFraFYO+uoqoPJQ7qeqoqYKRlTy3JNUcRb6hhzNhImOA9LHA15rvAeeodYdJ4UXePpmUC7NhljibocEJ2TfCghxCV2R/KMNaRpJiN5QlzDvg6r7733Xr7xjW8A8MADD/C5z32OX/iFX+COO+4Y6eKEEGJWmSribETp/YeUX02jqUHBhTOOEEbbLRFjxFaRGNRUjKmlmcK5SFncfJHOWrAmkMg5pxgjnSjyGmwesdDyGCO9alh80xNyUrebDxXqzXEvRQgxQcqqwFhDjJEkmYzCuRCTal9nER/+8Ic5duwYAH/9r/918jyn3+/zd//u3x3p4oQQYlYNQ8pvrRtql1KK9pxmMPBsrbtb/4bXYO3OWJ6ejhPhNAWtobt984UoZyPec+iB8EK8Vq2mMWWgKg+n+3ESFC5gfEQxOc+/pOwRIkxFW6gQ4lBYZynLEmdlJE+I/bju9d0QAr/5m7/JX/7LfxmA+fl5/tbf+lsjX5gQQswq53bCvmM8sK6iJFW02pqNNU+jpWmMaGctU0UqE0inJHtTKUVe0wx6gRjjDXefxTgcn1Tq1jvXhLhVaQZJCpvrnjvuOhpX27uVZ2A9jWxCnn/eoaoKt79ruUKII2BvJM9ZGckTYp+u+y6qteaLX/yitBcKIcQBKYuArQLpAZ9Y5TVFksG5Mw7vDr5jKcaIqYa7x93MLn/jkmYKawPW3PjvxLvh7oZyTCkmwVEMLR8GlQea+WQchyZFH5zFS8eDEGJHUQ6w1gCQyBy/EPuyrzOJ97znPfzX//pfR70WIYSYeSFEqjLigyLLD7a6odSwK8qZyNp5e+A5Ms4xkgLXqKUpgKLXvfGQZ2sjzga0jOWJCZHthpZ3Zj+03IVIYcNE7Vj5aj5Ua9xLEUJMAGstVVXhnCOblnZxISbAvkq2zz77LL/+67/Or/3ar7GysnJJu+EnPvGJkS1OCCFmTVVGrAloFWEEmSdaK1pzms5WoNkOzM0fXBeBqcJwt7zagX3LQ6H1MOS52wksr97Y1zobcQ4kk1hMimQntHxrwzO/mMz0CEjPeEoXyPXk/IxJOcCjQCYFhDjyQggMyuEueZmM5AlxQ/ZViHrf+97H+973vlGvRQghZlqMw93brInUm6M7WMlyRa0OF85YarVhRtJBMNUwtLtWn56xvF1pphj0Is6FGxortDaC5EOJCVOraXodT1UF6vXZLYj0Kk/POBZqk/EzKmvAVHg9GesRQozX7kieUgotxWkhbsi+ClEPP/zwiJchhBCzz5qIO6Tg60ZT090KnD/rOHF3hr7FjgJnX137NEozRSQy6AXmF/dXiPI+DnN4JmkuSAiGoeU6ge0NT/3E7J78dI0nBEV6QJs63Kqk7IOt8OmUtYUKIQ6csQZjDM57arm8Jghxo/ZViHryySev+PEsy1hZWeGNb3wjWXb1mdi1tTUef/xxtra2UErxyCOP8H3f9338yq/8Cr/xG7/B/Pw8AB/60Id461vfCsCv/uqv8uSTT6K15tFHH+Utb3kLAM8//zyPP/44xhgefPBBHn30UZRSWGt57LHHeP7555mbm+NjH/sYx48fv5HfhRBCjFRZRKoqHsqO30ormvOa7pZne0OxtHpruQWmClgbSKc0KylJFFkW6W575hf3FyTqbMTbKPlQYuLshpb3OoFjt0V0MnuP0cIGjItM0o+miz6xqoiLC+NeihBijEIIw13yrCFNJZxciJuxr2fOU089xdNPP83CwgIrKyusr6+zvb3NG97wBs6fPw/A//q//q+84Q1vuOLXJ0nCX/2rf5XXv/71FEXB//6//+98x3d8BwDvf//7+f7v//5LPv/kyZN85Stf4dOf/jSbm5v8s3/2z/iZn/kZtNb8/M//PB/+8Id54xvfyCc/+Um+9rWv8eCDD/Lkk0/SarX4zGc+w2/91m/xS7/0S/zwD//wrfxuhBDiwHgfqapADJHkkHacS1NFvalYX/M0mpp68+Y7J0w1zEpqtiborPAGZbmmLCIhxH11iFkbsS5Sq8Eo8ryEuBVZPhw37XY8C0uzdyLUM56B9dSyyeiGIkaSoo8jATUhaxJCjMWgGGCdQWlNIqO6QtyUfR253HXXXXznd34n3/d937f3sV//9V/n1KlT/NN/+k/59//+3/OLv/iL/PiP//gVv35paYmlpSUAGo0Gd955JxsbG1e9v69+9au8853vJMsyjh8/zu23386zzz7LsWPHKIqCN73pTQC8+93v5qtf/SoPPvggv/u7v8v/8r/8LwC84x3v4Bd/8ReJMUquhxBiIpTFTkdRdrivSfWGxtnAuTOOu+7TJDfRXuDcsCAzQXnBN2WYExUoBoFW+/oHjs4Mx/L0hIwFCXGx3dDy7c3ZDC3vVsOg8pXmZBTZlKnAWoKcdApxpFWmwtgK7wK1mozkCXGz9nV0/Vu/9Vv8xb/4Fy/52Pd+7/fy3/7bf0Mpxfd///dz8uTJfd3h+fPneeGFF7j//vsB+OIXv8g//If/kM9+9rP0ej0ANjY2WFlZ2fua5eVlNjY2Lvv4ysrKXkHr4tuSJKHZbNLtdve1JiGEGKUYI1UR8XbYxXCYlFI02xprIhsXLDHeeOCRqSLOhpsqYk2SJIEkhc729be9D2FYfLuJX5cQh6ZW11RlwFSz9UD1ITKwgcjkbBSQFP1hUHmtMe6lCCHGxHtPURYYY8jzQ8hZEGKG7esy08LCAr/3e7/H29/+9r2P/f7v//5etpO1dl/zsWVZ8qlPfYof+IEfoNls8r3f+7184AMfAOALX/gCn//85/nIRz5y1ROla51AXem2Kx28PPHEEzzxxBMA/MRP/ASrqze4l/eEStN0Zn4WMbnkcXZzBn1H1apI0kDzFsbjbkWr6dnesuRZm4XFGzt4WgslpqhottORnxQmScLCwujyV9LEYk1gZWXxmj9LWXqqoqSWeRqtyejIEAdn1I+zwxJjRGGILmN1tT3u5RyY7cLSKBKWEsdCezJO9tLeBiHNUCsr+34d1FrTbrdGvDJxlMlj7PDEGOl0OySJptVukaW3lr05TbTWNBr1cS/jyIjA6soKjVZz3EsZqX0dXT/66KN8+tOf5p577tnLiHr55Zf5+Mc/DsAzzzxzWcfUaznn+NSnPsW73vUuvuu7vguAxcXFvdvf97738ZM/+ZMAe/exa2Njg+Xl5cs+vr6+zvLy8iVfs7KygveewWBAu335QdkjjzzCI488svffa2tr+/kVTLzV1dVD/1lijFgTyXI1MVcsxWiN43E2C7Y2HL2Op1ZXWDu+54rznqe/UXD36/J9jwh6H9lYc5SDgAujH1FbWFhge3t7ZN/fmkhv23P6pKXWuPrP0+95NtcdWQ7GyWjerBn14+wwOR84dTKSN4qZCS0/3TGcXC9o1zTb28W4lwMh0Fw7j61KTH+w7y9rt1v0ev0RLkwcdfIYOzzGGnr9LsZaankNZ6/fXT0rGo06RVGOexlHRlVVrK2v0yj2/34zqU6cOHHV2/Z1dP1n/+yf5TOf+Qx/4S/8Be677z4eeeQRHnvsMf7sn/2ze7fv5jNdSYyRf/kv/yV33nknf+kv/aW9j29ubu79+3//7/+du+++G4CHHnqIr3zlK1hrOX/+PGfOnOH+++9naWmJRqPB008/TYyRp556ioceegiAt73tbfzmb/4mAL/zO7/Dt37rt0pxZMR63cD2hqfbOTovxELcKGuHBdsYhzvZjVOzqfExcu6sJYb9jfKYarhzXDIjO8elGaChc53XLWsiMUAi+VBiwmW5InjodmfnvbhrPCFG8gl5/mlTEp3FK+mOFOIoijFSliXGmiPVCSXEKO37HXV+fp53v/vdN3Un3/zmN3nqqae45557+Ef/6B8B8KEPfYjf+q3f4sUXX0QpxbFjx/ibf/NvAnD33Xfz3d/93Xz84x9Ha80P/uAPovXwYOSHfuiH+OxnP4sxhre85S08+OCDALz3ve/lscce46Mf/SjtdpuPfexjN7VWsT/9nqccBLpdT7eraLaSqd3WXYhRKouAMYGsNv7nh9KKdlvT3fZsbSmWlq9/MGWqgLGRRnP86z8ISinymqbfDRy77cqfE+Nwh8DZSt0RsypJFFkNtjc88wvTH1peuUDlwriXcYmk6ENZ4uuzM/4ohNg/6yzOW0DtnZMKIW6NilcJXvrxH/9xfuRHfgSAH/3RH73qgc0nPvGJ0a3uEJw+fXrcSzgQhzkyNegH+l1PWQTyGnS3I3OLmtvumIwcBzE6Mpp3Y4KPbK57+n1PszU5By7FwFOVcPd9GbX61TOrgo+srznKItBoHs76D2NkylSBfjdy3/05WX75z2VNYHPdY0ygfo3xPTG9Zmk0D8CYSL/juef1NWr16X7Mrg8sz64XhKBoT8jPUj/9AvHCOcqlq1Svr0LGpsSoyWNs9GKMdHtdBmWfLM2PZCFKRvMOV1lVvPvPfw+N5vRvjnGt0byrdkS95z3v2fv39773vQe7IjG1yiIMu6HKQF4fjq002oHuVmB+wdMYUxCzEJOoLCPWBtIJy22pNzTOBM6ddtx5r77qbnjGRLyL6DGPFB60NFNEIr2uZ2nlCoUoOyxGJTKFI6ZEloHWwzy6205M90WhbuUZ2MjyIRW/rysEdFVglBzfCHEUSTeUEKNx1cPsP/fn/tzevz/88MOHsRYx4aoq0Ot4qiKQ52rv5DXPFVUaWDvnuOtePfYcHCEmQYyRsghYE6lP2FibUormnKaz5dlcc6wcv/JueKaKE7n+W6W1Isuh1wksrVx+u7MR7yGvz9bPLWaXUoq8rul1A8fC9BaPQ4z0bQAiekJGDJOyT3QOn0gujBBHzaXZUNNd5Bdi0uz7eu+f/Mmf8MILL1CWl7bl/eW//JcPfFFi8lgT6G0HyjKQ5eqS4GKlhhlRnU1PZ9uzsCRtBEIYMwz5VpqJzGxJEkWrrdna8DRamlb70qv9IUSMiaAmc/23Ks8VRT/iXSBJX73CGWPE2oia0Z9bzK68pij7kW7Hs7A4ne/DAxMwLjBJdTRd9KEsCK2lcS9FCHHIpBtKiNHZ15HKL/7iL/Lbv/3bPPDAA+T5q9VgOUg/GpyNdHaKUEmqrrh7Vpoq6k3F2nlHa06Cy4UoB5GqimS1ca/k6vKaxhrP+dOOu1+nSbNXn7fWRJwLzOpxV5opQogMBoG5+Vd/SO+G2Vjy9iamzcWh5dNaiOoaT894WlfIbhuXpOzjIztbbgohjgrphhJitPZ1pPLlL3+ZT33qUywvL496PWLCOBfpbA2DybWGLLv62Vm9oTFVYP28nfqMCiFuhXMRYwKRSDIh249fTaOl6WwF1s5Zbrsz27vAUJURa6A2wYW0W5EkijSLdLc9c/OvvhVaG3E2oKWYLqZQXlP0u5GqDFMZWt4zHhsii+mEFNKcQ1UVQU3f71IIcWuslW4oIUZpX8+q1dVVskyuBB013ke6W56y9KAiWX7tEzOtFc2WorMVKAb+kFYpxOQpizAMKZ+CYobWitacprPt6Ww5AGIYZkMRI3rCC2m3Iss15SASw6ubxzobcW4Y/izEtMlyhdKR7U037qXcMOsDhQ1M0qtmUvbBGrx0QwhxpMQYKavdbig5IBBiFPZ1yelv/a2/xb/6V/+K7/me72FhYeGS29785jePZGFivELYKUJVnhjZ95XVLB92GVw467jrPj21galC3KwYIlUZcXZYmJ0GWaZoNBVr5zz1hgYU3seZHcvblWWKsh8oi0CjNczIsnZ2c7HE7FNKUdsJLV+9bbpCy7smUFpPPkG7jCZFH6qCMHds3EsRQhyi3W4oJd1QQozMvgpRzz//PH/wB3/An/zJn1ySEQXwcz/3cyNZmBifGHbG8cqAd+ycmO7PMLh8uBtXZ8uxuCxXEcTRUpZx2A2lI0zUtf1rqzc1xgbOn/UsLCaYKkx0vtVBSFLQKXS2h4Uo7yPeR4jX/1ohJlVeUxSDQL/rmVuYkBG3fehVnp4NrDQnZ81J2cejIUmu/8lCiJlwaTeUdEMKMSr7erf/5V/+Zf63/+1/4zu+4ztGvR4xZjFGup1AVQashUbzxq8CJKmi1lCsX/C02gnZBIWOCjFqVRGwJlJvTE8RCoZF5PacprPpyXbeGSY93+pWKaXIcs2gF4gx4uxwp0PJhxIj4R3J6eeJtQZh+faRhV8niSLPFZvr01OIijHSMx4VQU9IN6KyBozBKylCCXGUSDaUEIdjX8+uWq0mI3hHQIyRXidQFH7nRPrmv1ejoSHC+nlHjNJeII4Ga8JwtIvpHO1KEkWzrel2w7iXcmiyTOFcwJiItRHrIlkqr1ni4OnOBvR7qGe/QfLc11GdTRjR+2NeU1RlxFTT8Vwe2IDxkUnKBE+KHtgKn894a6gQYo9kQwlxePb1lv/BD36Qf/Nv/g1bW1uEEC75R8yOfi9QDgKmitQa6pZOpJVWNFqKbidQDORxIo6GsohUVSCb4k7uWl0ztzDsajwK0hRQ0Nv2ODMcy5vlgHYxJsGjOhtEY3G33Uvc3kY//YfoU8+BqQ787nZDy7c2piO0vGc8feNpZZPz3NPlgGgMsdEc91KEEIdEsqGEODz76tnezYH6r//1v1522xe+8IWDXZEYi0HfU/SHI3n15q0VoXblNY0pPRfOOe6W4HIx47yPVFUkBkjT6T54mfb13wilFXlN0esGmm09qgYVccSp7hZUJSGtQVbD334vqrdF8srzJJsbxLvuIyysclA7BOyGlnc70xFa3q2GHVHz9QkZJYyRpOjj0Ozzmq0QYsq92g1lpRtKiEOwr3f8xx57bNTrEGNUFmHYDVUE8vrBjhQ12sPMme0Nx9KqvKiL2TXMhgok2WSf8InLpami6EeCH4aXC3GgQkBvrxHLkrj46u5rsb2Ia7TRG+fQ3/wj9G0niLffS2y0DuRu83w6QstdiAysJ07QLgHKVGAtQfKhhDgyXu2GQrqhhDgE+zoyOXZMtq2dVVUZ6HY81U4R6qDDiZNEUW8q1tc8rfmEXILLxQyKMVKWEeemL6RcDHOiBiFS9AON9rhXI2aN6m9DVRHSnMu6a5KUcOxOYtlDnz2N3t4knLiXuHL7cFvHW5CkiixXbG5MdiGqZzzGBfIJ6tpKij5UFb52C2GZQoipId1QQhy+fR2ZDAYD/tN/+k+8+OKLlGV5yW3/+B//45EsTIyeqcJwh7wikOaKJBnNQWC9oTFlYP284/Y7s6kMcRbiWkw13HFNM50h5UedThRpHrEW2rJNuzhIMaK31ojFgLhw9Yt6sd7G39FEb19AP/cN2FofFqTai7d097WaYtAbhpbntcm8ENSrPD3rWahNznMvKXtEZ4hzS+NeihDiEEg3lBCHb1+FqE9/+tOEEPjO7/xO8nyKU3jFHmvjXhEqyxXJCLcrV2q4E1evEygWA8325BxsCnEQikHYOdEb90rEzWrNJYQwOaNBYjaoQReqgqBzrrslnNaEpdsI7UWSC6fR3S3i7XcTjt8J2c29uGS5AhXZ2nQcv33yjt9ijHSNJwRFOimbBIRAUhZYlQByYUGIWSfdUEKMx74KUc888wyf+9znSNPJbe0W++dcpLvlKcuAThhpEWpXliuyHM6fc9zT0OgRdV8JcdicjVg7TDeR3daml9Zq4gOdxfTRW2vEQUGcW97/F2U1/B33oXqbJC8/R7K1TrjzPuLCKtxgx+UwtFzR2w6sHp+80PLSRYyLTNIhga4KorP4RE5IhTgKpBtKiPHY17PtgQce4NSpU6NeizgE3kc6u0Uodq6WHpJGS2OqMDXbSQuxH2Ux7IbKJKRcCHERVfSg7BOGV3xu8IsVcW4Zd/t9xLJEP/1H6Je/CeXghteR5wrnIv2uv+GvHbWe8fStp5FNzslfUg6gLPH1+riXIoQYsYu7oVLphhLiUO3ryOgjH/kIn/zkJ7n//vtZXFy85LYPfOADo1iXGIEQhkWoqhgejGaHnBeRJIpmS7Ox7mnPJxObVyHEfoUQqcrhbmu1uhSihBCv0ltrMCiIrYWb/yZJij92F6rokpx+hWRrg3DiPuLybbDPPLMkVWS1yQwt71aeygXazclZV1L0CMFDJoUoIWaddEMJMT77euf/5V/+ZdbX1zl27BhFUex9XEJ5p0fcKUKVRSBEqNXH82JbqyuqMnLhnOPE3RJcLqZbVUasDejJOYcSQkyCqoBBl4CC9NazmWJjDndHC711Hv3s12F1bRhmvs8i125ouTWBbEJ2r/UhMrCBqCboeNJ7dFVglGRZCjHrht1QhWRDCTEm+zp9+spXvsLP/MzPsLQku4dMoxgjne1AVQa8j9Qb4zsIVWrYFdXrePq9hPacHOyJ6RRjpCwC1kbqjQk5iRJCTAS9dQHKgtCYP8BvqgnLtxPMAsn6mVfDzI/dCdm1i11JqggxUgz8xBSi+sZjfCC7Xoj7IUqqAdE6vJaTUiFm3bAbykk3lBBjsq9n3W233UYiW1pPpRgjvU6gLDzWTMb4UJYr8priwlmH97JLlZhO1kScjSgm6Gq+EGL8TIXqdQheMZKtNPMG/vbXEbIm6qVnSZ79H6jtdYhXfz9NEkWSRAY3HjE1Ml0T6Fae5iFmVV6PLvo7BcTmuJcihBihvW4oI9lQQozLvjqi3vWud/HP//k/5y/+xb94WUbUt33bt41iXeKA9LuBchAwZti1MSknzPWmprMV2Fy3rB6fvC2lhbieshjmQ93krupCiBmlt9d2ihmt0d2JUoSFFUJrnmTjDPrpPxx2Rx2/C2qNK35JmilMGUa3phvUMx4fI/kE7TaaFH18BOTEVIiZttcNpaQbSohx2Vch6otf/CIwzIq6mFKKxx577OBXJQ7EoOcpBoGyChNVhILh1dlGU7G1EZhbCNQkuFxMEe8iVRWIRJIJOokSQoyZs+jeFj6EqxaEDlSa4Y/fgxp0SE6+SLK1TrjjXuLycdCXdrIniaIsIjHGsR8PVC5QuYCeoOMSnEOZiiAnpULMtIu7ofJcLoYLMS77KkQ9/vjjo16HOGDFINDvDXOh6vXJKkLt2g0uXzvrOHGPBJeL6VGWAWsCaSKPWSHEq/T2GrEsCfkIu6GuIDbncfUWeusc+tmvE4+fIN5+D7E5t/c5SaKIPmCrSD7mMf2u8fSNpz5Bhfyk7IE1+FTaXIWYZRd3Q8m5hxDjMzlHAOLAlEWg1x3ukJfVQOnJfJFVStFsa/o9T783OeMCQlxLDJGyiHg/3BJdCCEA8A7d3SQ4B6Mcy7sanRCWT+BXTsD5s+g//Rr6zMvg7O7NRKUoS3/4a3uNXuUpXKQxQflQSTGASvKhhJhlF3dDZdfZ5EEIMVrX7Ij60R/90etWij/xiU8c6ILErTFVoNfxlGUgqymSCe/YyDJFra64cMbRaOqJX68QVRVxLqJ0BOTxKoQY0p2NYTdUOt5CRqw18Xfch95eR7/wpyTba4QT95HMLQ0Dy/swvzi+9YUY6ZuAIk7UaF5S9vEkl400CiFmh7Fmb6c86YYSYryuWYh673vfe1jrEAfAmkh3O1CWgTxVJOl0vMA2doPL1yyrt8nVCTHZyiJgy0CtOR3PLyHEIQge1dkgGguv2dRlLJQmLB4jtBdJ1k6je39EvP0u0rl7MdV4O5D7JmD8ZOVDKWvAGLySQQEhZlWMkaoqJRtKiAlxzULUww8/fEjLELfKmkBneziOl6SKJJucA7zr0Ymi0doNLvfU6nI1UkwmayLWRJBcASHERVR3C6pyJ19ogl4b0gx/+72o/jbJi8+Q3tOgaN8+1sDynvF0jaeVT07RJyl6YCp8LvlQQswq6YYSYrJMzlGAuGneRTbWK6oioNPhuNu0yWsKrSMXznlijONejhBXVBYBUwXSCco1EUKMWQh7IeW0567/+WMQWwvE9gLZ2ReI1mOr8b3P9ozHhUgtnZxD0KToE40hSj6UEDPp4m6oTLqhhJgIk3MUIG5KCHGnE8oDcSqLULAbXJ5Q9D3d7fEHqQrxWsFHqioSAqRTMvYqhBg91d+GqiKkNSb5sMrPLaPLPmyvURTjeZ81PlDYAJN0wSlGdDnYGcub3L+fEOLmSTeUEJNH3nGnnNaKWk0RQySvT/efM80UeV2xdt7j3QQdpAoBlGXAmSCB+kKIV8WI3lojFgNia37cq7m2rIaenyPbOE3RdWNZQs8ESuupZZNzvKJNCdbi9TXTKoQQU0q6oYSYTFc9EviRH/mRvX//t//23x7KYsTNabYT0gk6qLsVjaYm+Mj6mh33UoTYE2OkLCLWRjKJEBFC7FCDDlQFQecwBUHXfm6ZxA4wZ8+N5f57ladnA+18crIgdTEYdrTl9XEvRQgxAtINJcRkuupR0+nTpzHGAPAf/+N/PLQFiaNN62FweWczUI1pdECI1zJVxNmI0nIQI4R4ld5aIw4KYmsys6Euk9VImk3cmTMEe7gXfGKM9IxHRSZqx7yk7BGcIdalECXErJFuKCEm11X7kN/+9rfz9//+3+f48eMYY/ixH/uxK37eJz7xiZEtThxNeU1RlYHz5xx33aNRenIOWMXRNAwpl24oIcSrVNGDckBQCSRTNNY1N088s455+WXqb3jDod3twAYqFyercSwEkmKAVQkTtduhEOJASDeUEJPrqkdOH/nIR/jTP/1Tzp8/z7PPPsuf//N//jDXJY6w3eDy7qan0/EsLE7RAb6YOc5FjInEGEmSSTqDEkKMk95ag0FBbC2Meyk3JMkzYqNF+czz1O69F5Uezntsz3j61tOaoCgBXRVE5/DTVEgUQuzLxd1QuXRDCTFxrvnO+8ADD/DAAw/gnOPhhx8+pCUJMdyVrNZQrJ/3tNqJ7FImxqYsArYKU7sjpRDXZCrIpdXvhlUFDLoENKTTdYKjNahWm2pzjXDqJZJ7D6crqlsFrI8s1Cen6JMUfahKfKM97qUIIQ6YdEMJMdn2dTTw3ve+l69//es89dRTbG5usrS0xLvf/W6+7du+bdTrE0dYvanpbAXWL1huu2O6DvTFbAghUpUR74c7OgoxS1S/gz7zEmHxGHH19nEvZ6rorQtQFoTGdHVD7UryjLKxBM/9KfHO0XdFWR8ZWE9ksnbETco+wXvIJB9KiFmy1w1lpRtKiEm1r/7o3/iN3+Bf/It/weLiIt/5nd/J0tISP/MzP8MTTzwx6vWJI2w3uLy7FSgGElwuDl9VRqwJaD1ZJ09CHATV34beNvrZr8P2xriXMz1Mhep1CF7BlJ7gJDpgaovEwYBw6qWR31/feIwL5JOU+eg9uirwenJ28BNCHAzphhJi8u3rEtiv/dqv8Y//8T/mvvvu2/vYO9/5Tj71qU/xyCOPjGptQpDnCpNGLpxz3HWvRk/SQayYeVUZsCZSb8rjTsyYENCDLl5lqDSQPPNH+G95G0zL7m9jpLd3uqGa0zvOlehISHLc3ArZc38y8q6orvH0jGehPjlFn6QaEK3DJ9m4lyKEOECXdENl03mxQIijYF8dUd1ul7vuuuuSj504cYJerzeSRQmxSylFo6Upi0BnS7qixOGJMeIdRORqmpg9quwTrSVmOX71TmIYFqOoinEvbbI5i+5tE0KAfHrHuRIVUQrK5ioUxUi7omKM9CpPBNIJ2vBBF/1hQbHeHPdShBAHSLqhhJgO+zoieOCBB/j85z9PVVUAlGXJ//1//9+86U1vGunihIBhcHm9oVi/4LA2jHs54ohwDoIfnqwJMWtUfxuKgthogdb4Y3cTy4Lk6f8B1ox7eRNLb68Ri5KQT283FAwDyxMVKWIdFpfguT8hOjuS+ypcwPg4cSeESdHHoyCVjighZsXF3VCZdEMJMdH2VYj6G3/jb/DSSy/xAz/wA/yNv/E3ePTRR3nppZf4m3/zb456fUIAUG9oYoSNC27cSxFHhLMR6wKJ7NgoZk2MqH6XgILdsaQkxR+7Czqb6Be+AV46UC/jHbq7SXAOGtPfRZPogLEJamEJqpJw6sUD+94+DLugzvcspzuWnvE008nphsI5lKkI8vIuxEyRbighpse+AgGWlpb4xCc+wfr6+t6ueSsrK6NemxB7tFY0W4rOVmBu0dNsTk7OhJhNzkVm5HxTiEuoogfOEvVrOkGyGv743STnX0ZndcK9bxq2zggAdGeDWBSEbDZeFBIdKW0CaQ7zi/DsnxLvvA91Ex1CxgcGJjCwgb71VC5ifKBvPDYMN3uYq412Z74bkZQ9MAafTu94pRDiUpINJcR0uaGjgpWVFSlAibHJckWaRS6cddx9nwSXi9FydnjyJFfUxKxRgy4UA2Jr6bLbYq2BXz1BcvpFVJ4TT7wOmU8FgkdtrxOtG46yzYBER0JUGKfIF5aInS3CqRdJ7n3jNb8uxEjpAn0TKHYKT9ZHSuvp28DuHqOZ1tRTxWI2OQWoXUnRJ5qSML867qUIIQ6IdEMJMV0m7+hAiKtQStFsaTpbns6WY3FZch3EaIQQcS6yd0YlxKyIEdXvEIMadsJc6VMac4TFY+gXnyHkdeKxE4e8yMmjultgKnxWB2bjBGcvsNwm1Jo58SpdUdZHip0iU7Hzj9n5WOkjarilA3kCi/VkogLJr2aYD6VBS3e1ELNAuqGEmD5SiBJTJUkVtYZi/byn1U7I8sk/4BXTx9lICHKOImaPKgdgDSG59tt/mFsGb9HP/TE+y2Dx2CGtcAKFMAwpL8uZ+j3sBZabhIWmQy0sE7afY/Di85QnXs/ADkftqp2w8YFx2DgswyUK6qlmtZZMXeeBsgasxcvYqRAzQ7qhhJg+1y1EhRD4xje+wQMPPECaSt1KjF+jobFVYP284/a75KqHOHjOgTNBNlMSM0cNOlAWxMbCdT83LBxHWUfyzNfx3/I2aM8fwgonj+ptD8O80xr73ONlaigV2DYaVUHhM/q127FPv0KZHKeIihhBEckSTauWkE9Bt9P1JEXvou42IcS0izFSSjeUEFPnukcUWmv++T//51KEEhNDaUW9peh2As6EcS9HzCBnI95DOkm7PAlxAFS/Q/QRsto+PlnhV+4gRkXy9B9CORj9AidNjMNuqKIgtqa/EGdCZNtFzprIi2XkZRN4pdB8s6t4vq+4kLax/T7Z+ZOsNFOOtzOOtXMWG+lMFKFgNx/KEBuNcS9FCHEAjDV46YYSYurs66jiW77lW3j66adHvRYh9i1NFUQYFFKIEgfP2Sj5zGL2lAMwhpAMW/2cd6x3t+gUfaxzV/4arfHH7iSaiuSZ/wG2OsQFj58adKAqCEkOajoLMSZEzpvIs0Xk+RJeKuDlEi5UMPAR7xU1FMdqsNLMmF+cY/HcS2jvx730gxcjuujjlWbWutuEOIou7obKpBtKiKmyrzanY8eO8clPfpKHHnqIlZWVS6rNH/zgB0e2OCGuJkkUSRYZdAPz158wEWLfvI/4EJGkcjFr9O5YXn0OgMJU9KqSorNFPa/RqtVp1urUsxrJxfk5SYo/fg/p2RfRz32D8MZvh+tkTM0KvbVGHAyIc9O1u1qMkX6ALQc9D2UA64ell1wpljSkejh6V0VNEhJgWIy07SXS7hbZuVewd75urD/HQdOmBOfwEgAoxEyQbighpte+jiSNMbz97W8HYGNjY6QLEmK/0lRTllIsEAfL2Yh3ET0jYyhC7BqO5QXI68OryNbgg2eh1aYyho3+Npv9Ds28TqvWoJHXqGX58OA+zXDH7yY99xI6rxHu+zMzn+avih6Ug2GwezIdP6uLkY4bFqDKAAM/DBevK8VCdvlJmlLDnCjvXi1ExTTDzS2RnnwRd9tdxBkKy9NFH6qKUJOxPCGmnWRDCTHd9lWI+shHPnJLd7K2tsbjjz/O1tYWSikeeeQRvu/7vo9er8dP//RPc+HCBY4dO8YP//AP0263AfjVX/1VnnzySbTWPProo7zlLW8B4Pnnn+fxxx/HGMODDz7Io48+ilIKay2PPfYYzz//PHNzc3zsYx/j+PHjt7RuMdmSFEw/4lyQLB9xYJyNWBPJ6zAr27QLQVWAqQh6+LZfOYvzHq0UWikatRoNajjvKUxFvypIk3SnS6pBI6uR5XX86l0kp18eFqPufD2zPMOqt9agGBCbi+NeynWVIbLloOOg8lCF4c52C0qRJtf+G2kd8eHSQpttL5J2N0nPvoK96/WjXPqhSoo+wRni3NK4lyKEuEXSDSXEdNv32fvJkyf5d//u3/G5z30OgNOnT/PSSy/t62uTJOGv/tW/yk//9E/z4z/+43zxi1/k5MmT/If/8B/49m//dn72Z3+Wb//2b+c//If/sHdfX/nKV/j0pz/Nj/zIj/C5z32OEIZZQD//8z/Phz/8YX72Z3+Ws2fP8rWvfQ2AJ598klarxWc+8xne//7380u/9Es38GsQ0yhNFSFAITlR4gA5N+yyS6QjSswQPegOx/JqTQBKU1E5Q/6ajUjSJGGu0WSh2SZLE7pFnzObFzi1eYELnU16WmMWV1EvPYO6cGocP8rhKAcw6BJiAulkXmkPcRg8/lIZebGEMyV0LBAVS6lmMdXXLUIBaBXxQRMvajDe64o69SLK2dH9EIcpBJJyQFApcpFBiOkm2VBCTL99nWn99m//Nj/2Yz/GxsYGTz31FABFUfD5z39+X3eytLTE618/vKLWaDS488472djY4Ktf/Srvec97AHjPe97DV7/6VQC++tWv8s53vpMsyzh+/Di33347zz77LJubmxRFwZve9CaUUrz73e/e+5rf/d3f5eGHHwbgHe94B1//+teJUca2ZplOQCeRQVf+zuJgxBiZlXMuIS6m+h2i81Bv4EPAOEuMkeQq43VKKWppznyzzXyzDTGy0d/m1MZ5TlvHWlajevqPYOPcIf8kh0Nvr0FZEBpz417KZWyIXDDD4PGTFZw3MLDQ0IqVTNNOFfoG6ixKR4gQwqVfZNuL4CzpmVcO9gcYE10VROfwRyTfTIhZJt1QQky/fb0b/8qv/Ar/5J/8E+677z5++7d/G4B7772XF1988Ybv8Pz587zwwgvcf//9bG9vs7Q0bI9eWlqi0+kAwxyqN77xjXtfs7y8zMbGBkmSsLKysvfxlZWVvcyqjY2NvduSJKHZbNLtdpmfn/7tlsWVKaXIckVZSkeUOBjeQQiyY56YMaba2fltZyzPGqxzlwaSX8NrR/dKY+iHSN1Ymn/4/6P+wIM0Vm+bnavSpkL1OgSvIJ+cn6nv4174eOHBBsiUYnEnePxmKRUBhbMJSfLq7ol7XVGnX8TdcffUZ0UlRR+qAj+BxUUhxP5JNpQQs2Ffhajt7W3uvffeSz6mlLrhCnRZlnzqU5/iB37gB2g2m1f9vKt1Ml2rw+lKt11pfU888QRPPPEEAD/xEz/B6up07YRzNWfKgoWFo7d9XJ45eh3H0uIiieREjVyapjPznLmSQd9RDgoaDUWtLo+ncUiS5Ei+lo3UxjlikmCXVtGNFoU36EzTrrVu6kryHMP3XDO/iDv7Mt1v/h6l/3baK8dpt+ZoNlskE951cs3H2dmXCVrhV46jGuMNtfYxsm0jGzZSEBgoRUgi85mikdz4cdjVKJWQZZp22116Qz0nf+UZ6p11wuv+zIHc17hknQv4vIZeWrn+Jx8QrTXtduvQ7k8cPUfxMVZWJVmeAjVqtfq4l3MkaK1pNOR3fVgisLqyQqN19XrJLNjXkeLrX/96nnrqqb0xOoDf+q3f4v7779/3HTnn+NSnPsW73vUuvuu7vguAhYUFNjc3WVpaYnNzc697aWVlhfX19b2v3djYYHl5+bKPr6+vs7y8fMnXrKys4L1nMBjsBZ9f7JFHHuGRRx7Z+++1tbV9/wyTzPsGvX5n3Ms4dM5Gej3PqVOWZms6djWaZqurqzPznLmSbsezteGoNxVlJW1R47CwsMD29va4lzFTkrOniNsd/FIdu73NdrdLWVXoeOuPcb1yB7W105hnvs7Jzt2Q5TTqTVqtORrNFrW8jt5n59VhuurjzBrSsyfxvT5hoQm9/uEvDqh2wse3HRg/3AFPA22tyBIFHsoDHCO2NsFa0MngstvyrEX69B9Tzi0Tp7X7wHua6xcwlcEe4t+03W7RG9NjSBwNR+kxFmOkMhVlVVJWJXmWUxTluJd1JDQadfldH6KqqlhbX6dRXP6ePG1OnDhx1dv2dXT46KOP8v/+v/8vP/ZjP0ZVVfz4j/84X/jCF/hrf+2v7WsBMUb+5b/8l9x55538pb/0l/Y+/tBDD/GlL30JgC996Uu8/e1v3/v4V77yFay1nD9/njNnznD//feztLREo9Hg6aefJsbIU089xUMPPQTA2972Nn7zN38TgN/5nd/hW7/1W2Vm+AhI0mFWVL8r43ni1nkbQUnegJgh1gxDynUCKEprMM6QHdSYlU4wK3dQd57jnXVatQbGVpy/cIbTp17i3LlTdDqbGFMdzP2NmO6sE4uSkB9+h0GMka6LvFxGXijhdAnbFsJO+PhSpodFqBG4UmD5LtteAO9Jz7w8kvs+DEnZJ1qH19M9XijEUWWsodvr0C/6lFVBohM5VhNiyu2rI+rOO+/kX/yLf8Hv/d7v8ba3vY2VlRXe9ra3Ua/vr0Xvm9/8Jk899RT33HMP/+gf/SMAPvShD/E//8//Mz/90z/Nk08+yerqKh//+McBuPvuu/nu7/5uPv7xj6O15gd/8Af3rqj+0A/9EJ/97GcxxvCWt7yFBx98EID3vve9PPbYY3z0ox+l3W7zsY997EZ/F2IKKaXIMkU5kEKUuDUhRJwfhvYKMStUvwOmImSNYa6GqfAhUKsdXGdLTFKqlduorZ2hlZ4kvfP1xKbaOXHYptPdopbXabXaNJtt6vXGZI7ueYfubuKdg/bhtcO7GNl2sOWgCjDwoCI0taKeHs6JltIRnCIERZJc+iL4albUS7g77pnKrqik6A/D5+eWxr0UIcQNcN5RlAXOWiprUECe1aQIJcQMUPEGtpbb2NjYG5PbHYmbdqdPnx73Eg5E2T+ao3kAZREoi8gb3lRD3UJgq7i+WR7NMyawte4xVaDenLxRoqNCRvMOVnL6eeKF8/il41TWstHrUFlDo1Y7+PuqBtQ2zuGPn8Dcfi+7qf8xRopygDEVSqm90b1Wa25s+R5XepzpzfOos6/gVA7Ny0f7D9pgJ3y866HywyJUCrQTdUvh4zcjRqiqnEajoFZ3l92uvKNx+gXc3a/H3rP/WIZJUT/5LGFjg2rx2KHe71EamxLjMauPsRACZVVQVRXWWUKIpGlKkkgMxzjIaN7hKquKd//576HRHG9O5UG41mjevi5Jrq2t8bM/+7M888wztFot+v0+999/P3/v7/09jh073Dd1IV4rSRUhBKoqUm9IIUrcHGfBmkAikxtiVjgLxYCoNcOxvIrKGvJ0NN1IvtbELB4jv3CaLKthV+8Ahp2rzUaLZqOFc46y7NMf9Mi31rnzzvsmI2w2eNT2OtE6WBxd10yIkY4fdj8VYbj7XQhQV4qVVI1tx06lQKuAdwlweSEqJunUdkUpZ1HG4KWDQoiJd3EOlHMW5x1pkpJlE9hFK4S4Jfu67P/444/z+te/nn/9r/81v/ALv8C//tf/mje84Q08/vjjo16fENeVJsOD6EHPj3spYoo5G/EB0kMahRFi1C4eywshUFlLII70irJrtLHtRdLTL5JsrV92e5qmtNsLLC4sY2zFmTMnCWH8o9Wqswmmwmd1YDSvAT4Os59OVXChgoGFllKsZJrWGItQu5SO+HD1x4adW4TgSU9PV1aULvtgDCE9+C5AIcTBMdbQ6XXoDXqUVUGIkVpen8xRbiHELdtXIer555/nr/yVv7KXCVWv1/krf+Wv8Pzzz490cULsh9LDnKh+f/wnM2J6OTecUpbcATEr9KBLNAaaTUpnsN6RqNGPndr2Eq7eIj/5LLp35TFLpRRz7QX6/Q6bm2Me9w1hGFJeFtAa3UjehoW+g8opllPNcqbJJ2ic/FqB5XBRV9SZl1DWHO7ibkFS9IlVSWjM9jbYQkwr5x3dfpdev0tRFnjvyLPawW2qIYSYSPs6In3jG9/Is88+e8nHnnvuOd70pjeNZFFC3KgkVZgqcgORZ0Ls8T7ifRxRH4QQY+AdquwTVQpoSlNhnKWWHc6BvVlYxac5tVeeQZdX3n44TTOazRbnzp+ivMrnHAbV24aqJKQN9nlYdMNcjGw6MAEWU8UE1Z/2KB0hDgPLr8a2F6euKyop+gSlhlvsCiEmRgiBftGn2+1QFAOMtaRpKmHkQhwRV+11/MIXvrD377fddhuf/OQneetb38rKygrr6+v8wR/8AX/uz/25Q1mkENeTpsOd86yJ5DV58xI3xtmIdxE9iWeHQtwE1e8STUXIc5z3GDfM/Tm0g3ulqBaPU984Tf7y01T3fQsxv3w0qtFoUVnD6TOvcO899x9+EG2M6O0LxLIgzo8u83LTQumhpsY/gnc1Sg0v5DibkCSX50TBpV1R7sTkZ0UpU4E1eCVFKCEmRYyRsiqpTIV1Bu/9MAdKRvCEOFKueulvfX197x9rLd/1Xd9FlmV0Oh2yLOM7v/M7MWZ6WrPFbBu+dykGfcmJEjfOuYhzkTSXjjoxG9SgQ6wqaLQpbYX1luywizxaUy3dDqakdvJZlLOXr1Mp5tvzFEWftfVzh7s+hr8nqpKgcxjR2OJeN1SEVjKhVSheDSx37tqPE9teBO9JT794KOu6FclOPpTPJyAQX4gjLsaIMcMcqP6gT1EWEJAcKCGOqKs+6z/ykY8c5jqEuCVaK5IsMugFFpfHvRoxbZyNRA9JMvr8HCFGznt00cOrhLizW54LnuYYTsZjklIu30F97TT56Reo7nrDZSNSSZLSbs2zvn6Odmue1ghzml5Lb60Ri4LYXhnZfex1QzG53VC7lI6EawSWw05X1Pwy6ZlXcCfum9yuqBhJ+sOctLi0MO7VCHGkOecoygLrDMZalFLUchnBE+Io23f5uaoqzp49S1mWl3z8z/yZP3PgixLiZmSppiylo0XcmBgjzkGUYyExI1TRJVpLTGtY73DOwxhfGmOaUy3fRn39LHmaYu6477Luo1qtTlWVnDn7Mq+7702HcnVcDbpQDAg6gRF1i+12Q1URVia4G2qXVhHrE2LkmkUz214g7WyQnn4Re+/k5YUqU1G7cAo16GP1MCdNCHH4fPCUZYnZySmMMZKlGVrLc1KIo25fR3pf+tKX+MVf/MVhgFx+6ZWvn/u5nxvJwoS4UUkKZRFxJpDm8gYn9sd7CD5OZHiwEDdD9TtQFMSFYxRlQeUM+Zh3Hwp5g2rpOLULZ8myGvbYnZfcrpSi3Z5nc3ud8xfOcPttd438SrneWoNiQGwtjuw+druhGlPQDQU7geVOEbwiSa9evZzYrqgYSTsb5BvnCYMBFRo/vzTuVQlx5LyaA1VijcUHT5qmMoInhNizr1eD/+f/+X/4B//gH/Ad3/Edo16PEDctSRVERX8QWJBClNgnZ4f5UBJULmZC8OhBF681QWkqZwgxkh52PtQV+HoLM79EfuZlYpbjFi8NB0+ShLnWPBsbF5hrz9Nuj3CcquhD0SOgIR1NEeXibKjlKeiGgosCy11Ckl45sHzXpHVFKWvI106j+13coMA02sRaY9zLEuJIiTFirKGsSqy1OGfROqFWk5w2IcSl9lWIStOUN7/5zaNeixC3JElezYlaWBz3asS0cDbibKTenI4TRSGuRRW94ViezqmswTqHnqBWHNdaRDtHdvJ5otLDQoHWRKVBKWpZTpXlnD79Cq9/fZN0VJ1cm+ehKAiN0RW7NiwUAepT0g0FlwaW17h2Ieririh7x32Qj68rKuluUVs/SywGGB9xCysjC58XQlyZdZaiLHDOYq0FFLnkQAkhrmJfhagPfvCDfP7zn+cDH/gA8/Pzo16TEDctzTSV5ESJG+Dc8PEiB0piFqh+F8qCOHeMsuxjnKWR18a9rEuY+RXUpic/+Rw0W4ACrfdCiWrARlmw0d/g9pXbUUkCShN3/h+984/SRJ1c+b+VHoaiX/R9X11ASextE6IaWfHExciWAxtgbkq6oXbtJ7B8125XVHbqBezrxpAZ6hy19TPo7ja+GFDlLWKrefjrEOII895TVgXGmJ0cqECeSQFKCHFt+ypEnThxgl/5lV/hi1/84mW3feELXzjwRQlxs5IETBlxLpCmcjVUXFsMO0HlUrsUsyAE1KBLQOMVVNYCE1hkVYpq6TjKGJS3qBDBeVSMQESFQCPAxoULNCrLQm2nkBaH/6OIe+HrKtGgdgpOyUVFqouKW0q/pkAVAjFYQmN0u/NNYzfUrv0GlsOwK8ouLJOdewV74j6oHV7RM+l3yNfOQDHAOI9rL48sdF4IcbkQA1VVUpkKay0+BLIkRScTkhknhJho+ypEfeYzn+Hd734373znOy8LKxdikqSpIsRIMQjMzUshSlybc3EYVC4PFTEDVNkHa4lJTrGzQ9EkZENdkVLEWo3IlQsXCkjLAae8J58/Tp5dYUQvBgh+d8cBVAjgHbgwvC1G1M7/s1O8UjsVLDe/BPloMkv2uqE8zKVTVoVi/4Hlu1xrgayzQXb6BezrHhj9Ar0nXz9L0t0aBpJndeL84ujvV4gjKoRAjJEQAiEGYgyEELHWYJ3FOYdOEmoT1n0rhJhs+ypE9Xo9PvjBD07eVVUhXkMnkOjIoBeZkylScR3OgbWBZLwbiglxIFR/e7gLXHuZsujjg5+4sbwb0aw12O53Obu9xl0rt1+edaV2uqB2nsBXKplcrYyi2y3o9Q90vbvWd7uh9PR1Q8FuYHncV2A57HRFzS+TnTuJPfG6kXZF6aJH7cJpGAywxmLbi5DKLlxC3IxLikshEmJ4tei09+87txGJIeKDJ4SdQr9SaK0lB0oIcVP29e798MMP89RTT/Ge97xn1OsR4pYopUhzTVmGcS9FTAFnI8FBXpMDKDHlYkQNegQUBnDeodQEjuXdAK0U7UaT7X6PrX6H5VHuondAXIxs73RDzWfT+bsfBpbHfQWW7xp2RW2OrisqBPKNcySdTWK/T5XVCIsrDHvnhBAXizFeucgUAzEEws5tMQQikRAjMQS89wQiamf6WcHOfG5EoYfvKVqTZzlaWsmFELdoX4WoZ599ll//9V/n3//7f8/i4uIlt33iE58YxbqEuGlpCkU/4n0gSeSNUlydtRGm/GRdCNgdyzPEJKO0FZWzZMn0d4pkSUqjVuPc9gbNvE59wju8Lu6GmmY3ElgOF3VFnX3lwLuidDkYdkEVfVxZYdoLkEpMhBAhBopiwKAY7HUv7RWZYiBGCDsdTCGEneLSsLC0W2AChVYKpTRpmqG1lmMiIcSh2NdR6vve9z7e9773jXotQhyIJFHDAMUyDjdkEuIKgo94H+WCupgJqt+BYoBvLFKWw7G8ejYbJ+vNvI51jrNb69xz7Ha0mswLDDZMfzfULq0i1u0vsHyXbQ+zovJTz2Ne/y23vogQyLYukG6tEwcDKp0SFleRF20hhoqyoIiBTrfLbn1paGcsWA/LTjpJ9opMQggxKfY9mifEtEjS4eZI/W6g2ZrQoF4xdtZFgpduKDEDYkT1O8SoqADn/cQWa26GUop2vcnWoMt6t8OxCQ2m3nDDbqjGlHdDwU5gOfsPLAdAJ3tZUdz5OqjdfBi8qkpqa6dQ/R6uMphmG7LRhMsLMY2cc5iqAg31emPcyxFCiBu2r0LUk08+edXb3vve9x7YYoQ4CEopskxRDiQnSlydtxFrAlkN5Aq7mGrVAKwl6IzSGiprqV1pl7kpliYJrVqDC50NWvU6zRHteHezZqkbCm48sHzXq11RL9xcV1SMpNvr5JvnhzvikeAXloHZKawKcatijAzKAdZZWq0mxuz/OSqEEJNiX4WoL3/5y5f899bWFmfPnuWBBx6QQpSYSEmqKIvhDh9qBq5Oi4Nn7XBXd8kRE9NO9ztQDnC1NqYogEgygyMY9SzHWMvZrTXuXT0xUT/jhoPBjHRDwc0FlgO31BWlrKF24RRq0MMVBVVjDias4CjEJKhMhXOWECNJksKNPEeFEGJC7KsQ9WM/9mOXfezJJ5/k1KlTB74gIQ5CkiqiD1RVpN6YjRMDcXBijDgXr7q1uxDTRPW7xBApUVjvSPRsjiQrpWg3GmwNuqx1N7ltYWXcSwJe7YZyHhZmoBtq140Glu/a64o6+QLmDfvriko7G+Qb54mDPlVU+PkVmKHxUiEOig+esiox1pBnk715gxBCXMtNv8s//PDD1xzZE2Kc0gTQ0O/5cS9FTCDvh2Hls3PKKI6sqgBbEVRGaSqsd+Tp9O+WdzWJTmjXmqx3t+lXg3EvB4D1GeuG2qVVxHtNvNGK/U5XVHLuJFTlNT9VOUvt7Etk50/hOh2KtIGfW5IilBBXUZQF1hgSlUjGpRBiqu3rnX5328/df8qy5IknnqDVki3JxGRSepgTNehLTpS4nLMR7yJJIgdxYrrp/jYUBSbPsd4TUTN/cpKnGVmacHpjDefHe7Hh4m6o5oy9nlwcWH6jbHsBFOQnX7jq5yS9Leonn0NvrmPKimphhSihy0JclbUWaww+etIZywEUQhw9+7ps+qEPfeiyjy0vL/PhD3/4wBckxEFJUoWpIjHGmT8xEzfGuYixkXodJKhcTDPV7xJ9oMwUxhpqM9wNtUspRbvWZKvf41xngxOLq2N7jV93UM5gNxTcfGA5MOyKmhtmRak7X0esX5T15B21tTPo3vYwkDxvEuXCphDXtBtQXllDmkgRSggx/fZ1xPrYY49d8t+1Wo35+fmRLEiIg5KmirIfMCZSq83eSYK4ec4Ox/K0BJWLaWZKMCVeJ5TW4GKgluTjXtWh0FoP86J6XebqTeYbh1/IuLgbahZ2ynutmw4s32HbC2TdDbJTr2ZFJf0O+fpZKPpY47DtJUhmv3gqxK0qqxJrLUopkmQ2cwCFEEfLvt79jx07Nup1CHHgkhRQUPQ9tZoUHMTQMKgcCSoXU2+4W15JqTOcs+gj1vmZpxn1LOPM1gUaeY3skAsas9wNtUvfZGD58IsT7PzKsCvqxL1kvU2Szhah6FMlDeLC4oGuVYhZ5b2nqkqcs+S5BJQLIWbDNY/aPvGJT1zzi5VS/OiP/uiBLkiIg6K1Islg0AssLo97NWJSOLsTVC61STHlVL9DdI4yz6mcmemQ8qtp1uts9Xuc3VznrpXjhzaiZ2a8G2qX2umIinHYIXWjbGuerLNO/dmvQ55jjcW2FiGV0SIh9qsoBxhn0akElAshZsc1j1rf9a53XfHjGxsb/Of//J+pqmokixLioGSppiwlJ0q8yrmIdWG4s6IQ08pWUBVYlWCcI8ZAoo/eg1orzVy9yfagz1a/y1L7cGID1i0UHuoz3A0FrwaWe6dIs5voI9UJZvEYaWcTk9YJCytILp8Q+2eswVhD8IFaTbqhhBCz45qFqPe+972X/He32+VXf/VX+Y3f+A3e+c538oEPfGCkixPiViUpFIOIs5Esl4NfMcyHChbyljwexPRS/Q6YilIlWOeOZBFqV5amNPKcc511mrU6tWy0OVkmRDoeXICFGe6GglcDy71PSLMbz4kCcK0FXGvhYBcmxBEQYqAoC4y1pNnR63gVQsy2fb2qDQYDfu3Xfo0vfvGLvPWtb+Unf/Inuf3220e9NiFuWZIqQDHoexZymcUSw44oFNIhJ6aa7neJxlJkdUxlaRzx3JBmrY4dOM5srXHP6h0jzcva7YZqzng3FNx6YLkQ4uaVZYm1BqU40hcbhBCz6ZqFKGMM/9//9//xH//jf+TNb34z//Sf/lPuvvvuw1qbELcsSYbjBIN+ZGFp3KsR4xZCHBaihJhmzkI5wESFdR6QwqpSina9wdagx2Zvm5W5xZHcz1HqhtqldSR4OQkW4jA576hMiXNOAsqFEDPpmoWov/N3/g4hBL7/+7+fN7zhDWxvb7O9vX3J53zbt33bSBcoxK1KM01VSvFB7IzlBSSoXEy13bG8gdIYZ8kSCX4GSJOUZl7nXGeTVq1BfQQnb2sWBu5odEPtUiri/M0HlgshbkyMkaIYYK0lTdMjf6FBCDGbrlmIyvNhzsJ/+S//5Yq3K6V47LHHDn5VQhygJIWqiDgXSFOpQBxlzkWsCWRy3i6mmO5vE6qKMq3hraFWkwf0rkZewzjH6a0L3Ld6Aq0P7jW/CpGuBx+hkR6dE8NbDiwXQtwQYw3WWUKMZIlkQwkhZtM1X90ef/zxw1qHECOTJopIpOgH5hakEHWUOQvBQ9KQx4GYUs5CMaAKCucDSnYgu4RSirlGg81+l7XuFscXlg/se6/vdEO1jlA3FAw7ohTDrqibDSwXhyPBUtc9Mm2oQpMitAB5v5smIbwaUJ6PeOMFIYQYJ3l3EjNPJ5Akw5wocbRZG2W0REw1NeiCNQyUorKGPJWr5a+V6IR2vcFab4t+VR7I97y4G6qeHK0XEaWGxSjvJCdqUmkcLb3FfLpOS3do6A4r6UkWk/Okqhr38sQNKKoC5yxaaxnJE0LMNClEiZmnlCLNNGURxr0UMUbeRYIf7pgnxLTS/Q6+LKnShEAkSaQ4cCW1NCfVCWe3LuCDv+Xvd1S7oXZJYPlk0jiaepv5dI2G3iZXAxyaMsxThjZzySar6UmaegvFrT8PxGhZZzFVhXOWLJWRayHEbJNClDgS0hRMFfFeilFHlXMR7yL6iJ5IihngHarsU/iA9YFEUvevariLXpPKWs5vbxDjzXfEVjs75R3FbqhdSkV80NzCr1EcIIWnqTt7HVA11SeiMbFFZDjO5cnphSUisJKdZik5Q66K8S5cXFWMcTiS5wxZKiN5QojZJ0ex4khIUkWMkaqQo+ijytqItVHCdsXUUoMu0RgGDHfLq0nq/jUlWtOuD/Oi+uXNn4CvWyiOcDcUXBpYLsZH4WnoLgvpGk29tVOAAhPbBK5UvFCY2GbgF2kmXVazk8wl62gk62vSVKbCOguAlk5XIcQRIIUocSQkyTArqteTjqijytlhASpJ5GVPTCfV72CLAWYnF0ryQ66vluVkacqZrTWcv/HRJOmGGro4sFwcPkXYKUCtv6YA1cJfsQB1qUBCPyzhYsZico6V9BR13QPkwswk8MFTViXWSjeUEOLokDMycSQopcgyRTWQQtRRFGPEOznkFlMseHTRY+A9NngyuWK+b+1aAxc857bXb3hEb026oQAJLB8XRaCue8wnazT1NjXVQxExsUmgdsPfzcYG/bBEpipW0pMsJBdIsCNZu9i/oiyw1pCoRC4wCCGODNluRxwZSaooi0gMEXXETyqOGucg+Ij82cW0UoMewRiKoHF4mnl93EuaGnpnRG9r0GWu3mK+2drX112yU14qLx4SWH6YAjVVUNd9UmVIlSHEBBOb3OqOGxFNERdIomE+WaOue3T8CmWYI8r16UNnrcUagw+emryuCyGOEHnHEUdGkiqij1Sl9MUcNc5GrAtoOZkUU0r1tzH9Hi7NpLXvJuRpRj3LObN1AWP31wGyZqHw0D7CI3kX2w0sD9JYPEKRmhqwkKzTSrao6x4aj4lNHHUOctvXYZj5MprASnaaxeQcmSoP7PuL64sxMigHGGtIE8n8E0IcLVKIEkdGmgAa+n3ZwviocS7iHEi2s5hKIeyN5VXBkcu23jelWWsQYuTs9jrhOiN65U43VAhQk1ZK4NXA8uDl93HwIrkqmN8rQHVJsCMpQF1KUcY5Cj9HK9liNT1JS2+gkOOkwzDMhbKgFImMWwshjhgpRIkjQ2lFlisGfbmce9TsBpVL9oKYRqro4Y2hjIoQI6mcsNwUrRRzjSbdos96Z/OaeVHr0g11GQksH4WLC1CbNHSXFLNTgGowugLUpQIZ/bBEIGE5O8tKepqaGiDtl6PjvaeqSqyzZHJxQQhxBElGlDhSkkRhqkiMUYoSR0QIEeeiHE+LqaX6HcpeF5Nm6BsM2xaXypKUVq3O6Y0LLNbnWGrPodWl1+R2u6F8gDyT94ldlwaWu3EvZ+plqqSh+yTKkKtyZxe8OuO7RqwwsYn1NRq6S00P6Ppl+n4RjxRKDtqgHGCcJU1TOR4VQhxJUogSR0qaKsp+wFSRWl3e+I8CZyMhgJaL+GIahYAadOlbh0kUjfxGd8oSr9Wo1SHRnNtaw3rHsflFkoteIHa7oeakG+oyElh+61JV0dA9UmX2MplMrAGT8XuNJAzCIqkqWUwvUFd9umGFIrQ5rA6tWWeMwVpD8J5aTQLKhRBHkxSixJGSpICCQd9Tq8tk6lHgHDgTkM53MY1U2cdXFVUcngDKlfOD0chrzDVabPS2cd5x2+IKWZJekg0l3VCXU2o4mhcCaHkLvSGpMjsFqIqMCqUCNtaJE1KAei0X63R9Tl33WNEn6fklemEJF6UYfitCDBRVgbWWLMvHvRwhhBgbKUSJI0VrRZrBoBdYWhn3asRhcDbiPdQactYkpo/qdxh0t6nSVLKhDlieZiy22mwP+rgNzx2Lq6yFjMJDS7qhrujiwHKtZUx0PxIsjaRHpioyShQRS40Yp+H5rCnDPAmGuWSTuu7T8SsUYZ4oMbM3pSxLrDUopdBSzRVCHGHyCiiOnDTTVDs5UWL2ORuRJhIxlWJEDboMnMMzzDcSByvRCYvNNpU1PLd2jvVBITvlXYMElu9fgqXBBvPpOg21TcYAS4ahObFdUFfjyemFJSKwkp1mKTlNropxL2vqOO+oqhLnHKm0aQshjjgpRIkjJ0mGxQlrpRA167yP+BCRpHIxjVQ5wBQDDGonKFqKI6OgtWah2abjFee210lsXy5UXMWrgeVSFL0WjWMu3aCuNsnVAE+GpcV0DyIoTGwz8Is0kh6r2UnmknW0BNfvS4yRopCAciGE2HUo74if/exn+f3f/30WFhb41Kc+BcCv/Mqv8Bu/8RvMz88D8KEPfYi3vvWtAPzqr/4qTz75JFprHn30Ud7ylrcA8Pzzz/P4449jjOHBBx/k0UcfRSmFtZbHHnuM559/nrm5OT72sY9x/Pjxw/jRxBRKUgVKUfQ9eS612FnmbMS7iE7k7yymj+pvU/S7VDqRbqgRq6LCZ22079PrXiCJnlZzQU4Wr2AYWC6vqddS0wNSDJBjYmvcyzlQYSfMPFMli8k56qpHx69SxSYSZn51xhissxAjibyeCyHE4XREPfzww/wf/8f/cdnH3//+9/NTP/VT/NRP/dReEerkyZN85Stf4dOf/jQ/8iM/wuc+9zlCCAD8/M//PB/+8If52Z/9Wc6ePcvXvvY1AJ588klarRaf+cxneP/7388v/dIvHcaPJaZUkijSNNLvyxXvWbfb+ZZm8rcWUyZGYr9DaSxea1I5cRmpLZ9gIyzUGuRZne3eOp3eBiH4cS9t4igd8UGzc2gmXkPhqemCRFk8s7ojmsLGBv2wRKYqVrNXWEgukGDHvbCJFMIwoNxIQLkQQuw5lELUm9/8Ztrt9r4+96tf/SrvfOc7ybKM48ePc/vtt/Pss8+yublJURS86U1vQinFu9/9br761a8C8Lu/+7s8/PDDALzjHe/g61//urTVi2tKM40p5Sh61jkXIUIiHVFi2lQF1aCPUQqt5PE7SmWAflCoGMgU5FmNet6iN9hiq7uG9zJ6dDGlhsdX0hV1ZTVdkGDwUxFGfmsimiIuUMUm88kaq9krNHQHGYe/VFEWWGfQWkuXpRBC7BjrUcQXv/hF/uE//Id89rOfpdfrAbCxscHKyqvbmS0vL7OxsXHZx1dWVtjY2Ljsa5Ikodls0u12D/EnEdMmScEacE6KUbMqxoiTi7NiSul+h7LXpSQhl1DbkdryCcZHmhedH6ZpRrM+R1H22eicxzozvgVOmGFgORJYfkWBmhqQKounNu7FHBofa/TCMhrPanaKheS8ZEftsM5iTIV3nkxey4UQYs/Yev2/93u/lw984AMAfOELX+Dzn/88H/nIR67ayXStDqcr3Xa1Kw5PPPEETzzxBAA/8RM/werq6o0ufSKdKQsWFhbGvYyp4VyAYKjnTRaXZ7V1/uClaTo1zxlrArYoSRNLsy0Hf9MiSRJ5LQP82stsaU2t0aBdb457OTNHK0Wj0aAI4KKijqd9hSOiWr3GoOjQG6yzvHgb9Zr8LQC00qRpSrst1f6L5fRoKE1Ck4QGSikajaN0jNEAKo7lHeaBbrwDR2PcixqbGCNbnS10opiba48kG0prfcQeY2Ic5HF2uCKwurJCozXbxxxjK0QtLi7u/fv73vc+fvInfxIYdjqtr6/v3baxscHy8vJlH19fX2d5efmSr1lZWcF7z2AwuOoo4COPPMIjjzyy999ra2sH+WONjfcNev3OuJcxNWKMlKXn5CsVLkiRYr9WV1en5jlTFoHNdUtEYb20wk+LhYUFtre3x72M8aoKyvPn6BQlXmUUUbZJP2iNRoOiKDhjE7oWWipQXSUOKtUNKjPg9NmXWZxfpV5rHfnxGmcTjIEkHYx7KRMkspCs4XWXQfz/s/cnMZKt533/+X2Hc07MOdRwB/JqsEh1Q2p1kxDZsNSGqDZotAG7AS0MrbwwLcEyYBiQuLQXXsiGtbBFWZa4Ebz01uKmNw2CFrVg628ahixLlEWRl8MdasoxpjO8w9OLE5mVVbeGzKrMjIiM90MUb1VWDiezYjjnF8/QAyq63Q5lWS37wK7djB5dfUiPMYf+LmUcsYmDzKu6YlbO8M6R58AVVIlt6m0suV7pdna96rpmb3+fbrn+z7Fvv/32c/9uaa15h4eHp7//b//tv/HOO+8A8JnPfIZvfOMbOOd4+PAh9+7d4xOf+AQ7Ozt0u12+/e1vIyL88R//MZ/5zGcA+Nmf/Vn+6I/+CIA/+ZM/4ad/+qc3/iQxeTGlFDbT1GlO1I3lnOA9pLmgybrRszHlbEpjM3KbhpRflSrCPCoU7Wyo51FKUeQ9jDEcjh8ym483fg5lGlj+UbmqMMoRRbOJoctZstisF0RzO/twI1v1QgxUdUnTNGlAeZIkyTNcyxnu7/zO7/Ctb32LyWTCP/2n/5Rf/uVf5i/+4i/4/ve/j1KKO3fu8E/+yT8B4J133uHnfu7n+OIXv4jWml/5lV9B6zYv+9Vf/VW+/OUv0zQNn/rUp/j0pz8NwN/+23+b3/u93+Of//N/zmAw4Nd//dev49tK1py1MJ8KwUeMTUNXb5rgBNTz23STZFX54wOaxiGp8uZKHS5mQ/XP8SM+CaOUqxlP9wnRM+xvo/Vmzkk6O7Bc65RGgdDRMzJV00hqX2kpGhkQYs2W3SNTNcfhLm5Dfj5lWeKcw2qTHseTJEmeQcmGv6z34YcfLvsQLkU1S615F+W9MDmMvP2jGf3BZl5MXNS6tObFKBzsecpZpNtPIeM62fjWvKZm9tf/k4PDQ9RgG2vSY9OVyLt8d+LwITC64EOE946qmdHtDNga3LqSuS+rTgSaOqPo1nQ6aU5UpioG5pBMVTh5PNMjtbO0FIGeHhMxHPo3KOOQm1w11riG2WxK5Wo6+dUGb+k2llyHdDu7XlVd8wv/z/8H3d76z9hbyda8JFk2Y0AZYTZNr+beNN4LMUB6ETJZN2p6RDWb4nSWQqgrdODVuauhnnZ2o97hhm7UU6qtivI+3UYBOnpORoWXzdmUdxGCYRa3iaK4nX3AyDxC85yhbGtORCirksY1ZCbNIE2SJHmeFEQlG0spRZYp6nkKom4a79qteekcMFk3zfE+3jlUkWaKXJUyKuYBNBHzimG11oZed4hzDQfHD6ibzRsor7UgIZ1GWtVgVY2iDVyS51HUMqSKfbbtI3btB2Tq5lVYVHWFcw6UwqQXE5IkSZ4rnUEkG81YRd0IMW50h+qN450QIlibSqKSNeJqyumEKgZym1LUyyYC06B45DVV4JWqoc7SStPtDBCJHBw9oKymGzXEPA0sb3X0DEuNI4XH5+GlYBp26Og5d7L36eox7bLy9RdCoK4rnHdk6TE8SZLkhVIQlWw0axUxSNqed8N4LyjSoPLk/EIU4pJDBJkc01Qzgs0xGzoE+yqcBFDvO8MDb5h6KPCvXA11llKKTt7HGMPB8UNm5eZs1FNKENqB5ZvK4MhUjSYi17P/50Z43KrHolVv70a06s2rOc0ihLra8w+h0DWjbMx2tk/fzlGk89gkSdZLetZMNpqxoDTMZ5FuL1343QQhCCFsxoVgcnnem9S4AH9ju8Do5QSY9dEerq4xvdFSvv5NIwKzqDgMmkYUdRRsbIeT94ylvqRt8qcb9VTNeLJPCJ5hf+d04+9NpZSgAR8MNtvMi+COni+qoVL1y8W1rXoh1mzbh2SqZhzu4NZ0zlbTNDjXEGMgy6/i9iBk2lPomsI0GBUodE3XGHqdmlnoMnV95qFLlHQ+myTJ6ktBVLLRlFJkuWI+i9y6s+yjSS6Dd+2gcr2kMCFZP3MXKL3ww+Mao+FvbC9hvbh3VNNjmhDJbWrxeR0nAdRR1NTxyQDqKke25FmBVprp/IgYA6PB7o3eqPfkwPLN25yn8WS6RKuAlyU8ZtwQbauepaePyVTFcXiDMg5Yp616USJlNcc5R3bJj99GeTqmoTA1Vnky3aARRDR1zJHQxXlDz5T0uzNK32Xi+8x9jyA39/EnSZL1lx6hko1njKKpBRFJrVw3gPdC00TyAtbpRDZZnqM6MHOB3cLw7lHNdmHZ7V7v06M/3qepK6LN0+PQK1pWAHWWtRk9PaSspoTo2R7ext7gYFFr2djWvELPsTQESdVQr6tt1duhUFNu2fc5DneYhp21Gf5eVe1cKJS6lEpIRaRjajqmxmpPphxGBUDRxIz41M8lYpiGASpEeqbijWKfKpswcQPmoYeL6TaaJMnqSUFUsvGsVZSzSFMLRSddAK477wQiGLOZF0fJxfgoTJoAEXY7Fhcdf7E357NvDejY67sNNUf7uHKOHe5e29e8KURgLm0LXh0VVRAyud4A6iytDd3ukKqasn/8gO3hbYq8e/0Hcg2UFqIzxAg3vBPxCYpAoUuM8jTSX/bh3BCLVj1qts0DclVxHO7gV7hVz3tPVZc45/Dek+evc6xCoRs6pibTDqscmfaAwkWDk5c/hgiaWeihEDq65E5nnzpOmbi2QqqJGekFuiRJVkUKopKNZ2zbYjCfBYrOBp1J30Aigvcg6TwrOafj2lP5QGEUSinudDPemzb81X7Jz9ztoa+hOkm8o5odEwJpW94FPC+A2tKw7By63ag3pGpmHB49YGt0h07Ru3HVbmcHlmu9OXOiCl1iaAgrOosnilzLY9dV8FIwE0tfH5GpiqPwBtWKteo579rteM7ROEeUSP5KA8rbuU8dU1PoBq0Cua5RQIiGKnZ4le9bUJSxRxmFjq65XRzisjETN2AW+tQhf6XPmyRJcplSEJVsPK0VNoP5NLJza9lHk7yOECAGIY2HSs5DRDiqA42HW4sQ2mjFm72MD2YN741rfnTr6me/uKN9fF0RixRCnccqB1BnnWzUq13J4fgho8Et+t3hjQqjNnNgeaRQc6xyNNJb9sF8xLxqmJYN/U5Gv7u61UQvIhimcZeOmnJ7hVr1nHdUdYV3jsY7JEYym6HNxdpv27lPNR3TYJQn1w5FJKJoYoFc2lJzRRU7VLEg1w07xTGjOGXq+8x8jzK8WtCVJElyGVIQlSSAzTR1mhO19rwTvBdUSqKSc5i5SB2ELDi6jz5ENyUoTU8plFe8f6jZ2cnZKRSgQCsEtZjSrNvzd7W4YHjqz6L0yTTnJ3/x+Pey+HN9+JCmnJMNby/nB7Em1iWAOqsNo3o0ruZ48ogQ3I3aqLeJA8sLVWKUW2wmW63nmtp5pmVD4+o2MImRUa+zpuc1ikqGWKqlt+o556iaxwEUUbDWorPzB1CaQGGa07lPuWowKhJF4Z4x9+lytQFXEwsy5djKxozslEnoMfN9St+5xPArSZLkfFIQlSSAsYpqHnFOyPN1PGFLYBFEOaHTS/+Gycsd1Z766JC7kwdo3+C9gAgKGIkwjZa/msOnep5CRdqLTln0frbVH0rRJiRy5hMrhVoEV49DKEAtLjS0al/5Dp7Se+rgiVGR2/SU/Dyz+DiAqoNgVzyAelqeFSilbuRGvc0aWC509Jxc1dQrVg3lQ2QyrwnRMewYKh85Go/xIbIz6K5t+Omlw0yyxVa9mqNw99pa9ZxbVEB5R+Obdv6ktZjsfKGRIpIbR0fX5KZpt94pTwR8tDTLCNUkw/kMoxxDO2Nop8x8LAqkXgAAgj1JREFUn+kikLraQCxJkuSxm3EWlCSvyZpFT/0skOfrebKWtBvzgDV99Te5Tq6qmd//kOLoEB0d8+4IGTw5DHZLhPcq+FYu/F8GnH/mioRFOCUQI0ShDbAijXdUTU3tGnzw1K5Bi2CH25f+Pd4EzwqgRmsUQJ2V2RytzelGva3h7Utf9b4MmzSwPFfVohpKs0rVUDEK41lbsdOxCm0MPWMwSjGZzQjBszsaYtfxjsPjrXodPeG2/YDjcPtKW/Ua17QzoLzDOYcI2HMHUEKuHYWpKbTDKEeuPSjBB0spq9EOFyRj4jO08vRsycDOmYUuM99n7rsrO/8sSZKbIwVRSQJoo7BWmM2ErZ1lH03yKiQuBpXLy9832WxqfMD0wX2a44osKsrRncctdmdYpXgzFz5s4IMa3jnvuChlHl9nGAgxUjU1pXP4EKhjJCiFzgry7gBz06/eX8FNCqDOMqcb9WYc3JCNekq1D7rhxg8sFzp6RqZqGrn62XHnJSKM5xXOezIr2OzxqX2RW4zRTGY1j4KwuzWgyNb11F9RxRFWVeyYh+Sq5jjcvrRWPRF5PAPKt0PIAayxmHOs37SLuU+FqTEqkOuGtnZWUcWCVQifniWKZeoHaCIdUzLozJn7DlPfbtrzsq63lyRJVl16dEmSBZtp6uomn0TfbN5LO6g8vYiXPI9rMHsfEqdjDo4bSt2j2++98PqgaxQ7Fv56LoyssGXPdzEhItSuoXQNtWtwweODRynIjKVzgdkim2S+CKCqGxZAndVu1BtQN3MOjh6wPbpNp+ivbSWnUm07a/CG7AYPLM9UjVFu0YW7OjfIadlQO4cWT559dOGBNZqtQYfxrGbvcMzOaECvs76PP0+26lWv3ar33ADKGqzWaCUoHFoJWkUUsnhbPH2bVhGjAplyWBWIomhitvTh6hcR0cxDHxUiXVNxt9ijygsmzYB56OFiWqaRJMnlSkFUkixYC3UpeBex2eqcZCbn4z04F7khY1eSS6bGB5iD+0hZclxD2d3BRs15rv13LJRB8RdT4TMjIX/BMHznPaV73HpXOQdIWwmTF2sbNly1ZwZQCs5RiLCWlFIUeY/GlRwcP2RrsEu/N0I9ozJv1W3KwPKOnpNRLWVY9vOUtaOsHURPUTz/yU9rxdagYFI27B21YdSgu76PRxHDNO7QPXerntCumoiLACmCREJocE2Jig1ZcBQ6st3XWK3QSs583CJwIqJ1RCOPxwIKoEAW4ZOT9Q35AATNPPRoKwAr7nQOaOKEsRsw912amLOq1V1JkqyXdMmWJAvGKkQU5Twy3Fq/i4FN550QPeRFOkFKzlhUQTGbEMuSkPc47PUoG9g6Z8ihlOKNQvhhpfj2XPipvjwxLyrESOVqqqbGhUDtGqJEUIoiy1Lr3QtsWgB11kkYpVXN8WSfEDzDwQ56Dcs6tRZivLm3c6sarKoX6wpW49+ncYFpWRNCQ7fQLw2VlFIMuznz2nFwPMaHAVuD7vln360cRXnSqmcfkKuaeRwtwqaT6qV4WrnUJkYRJREfHN5VmBiw0qBNWxWvFttPF2spgPa8UAREKYJoXLCLDXPr+nM7L0UVu1SxQ0fX3CoO2MosUzdgFnpUYXXbDZMkWQ8piEqSBa3BWGE2FYZbyz6a5KK8E9BpUHnymBofYg7uIWVJCIIMdqmVZl6BErAvqGx62um8qBq2LXyseNx653y70rsJHgXkNsOa9X5V/KrVEfaCOQ2gzAYFUE/LsgKlNNNyjI+ereEtrFmvNpibPrC8o2dYahyrcb8OJxvyvKOTa8w5w0ulFP1OjtGe4+kU7wO7oz5mjXtfvXSYBUtPjyn0jIhepEhnHt9FEBS1i0wrjwuCjwGlFJnto5XBn2RVz7Ox8ycVVexQxYJcNewUx4zilEnoMXUDqrA689KSJFkvKYhKkgWlFFmmqcqbO+PipopB8EE2+EQxeYJ3mL0PYDohlnNCPoB+u2r9qBHKAL0LhFAnekYxUp6/PKrwRUNBoHYOWbTe9VLr3bkEgQfeMAug4+YGUGdZm9HTA8pqymEMbA9vk2WX1wJmlKNvxkz9FvEKTv1u8sBygyNTNZqIX4HT5ijC8bzCBUeeKewr3Hk6ucVozWReEiSyOxqQ2/W9E0Ys07j7zL9r5/V55pXDByEEhdWQZwX6JqamV0bRSEHjCqxybNkJQzPnw+oudQqjkiR5BekROEnOMBZcIwR/s06kbzrnhRjaORjJZlOTQ8z734HDfUJVEQa3oNuGUFGEsQcv0DHnv63EGKmbkun8iLw5JlRT/ve4ZuYceWbpFR2KLEsh1DmIwCPfVkLlEhmZmzWI/HVobeh1h3jv2D9+QFXPLukzCwN7RN8esp3fv6TP+aSzA8tvmkLPF9VQy69SExEm8xrnPJZI9hrhUWY1W4MC1zQ8Ojimam7WfC8Roawdh5OS8ayibmq0OPodQ6fIUgj1GrxkjP0QpYS3uw+w6mbddpIkuR7pUThJzmjnREFVpdKadRKc4JqIzdO/28byDn3/B+gH7yOTCV4XyOj2E6U2kwCNQH6OuRbtJqWaeTlhOj9kNh9TllOcr9jNNc70eCQ9tLp5F95X6ShqZlEhMdBLZyAfoRYb9RRwcPyQWTlG5PUe17pmSqYqMt2wnR3Q0dPLOdgznhxYfnNoArmu0CogK9CWN68cdeNQ4snz1/9ZG60ZDQqEwKPDY6bz+rVvb8t2EkAdTErG85K6qdDi6XcMRZFeMLg8iqnvY1Tgze5DtArLPqAkSdbM8muMk2SFGAPaCNNJpD+4WSfUN5lzEIW1nnORvDo1OUTv34f5jBBBBrvP7PU69FB62LHPvxAJwdP4Gu8aQvQ43yAiaG3Iss7pRcwtFXnkNCOjuX2DV9ZfpjIqDr2mDpHtdFd9LqUUnaJP01QcTfYIwTPobb9SBYdRjq6Zkuuamd+ib8bcLj7gg/KTi4HLl+cmDiwvFrOhgiy/GqpqPLOqIUZHr7CXFqhopRj1CmZVw/74+HSI+boFNiJC1XjmtcMHT4yeTCu6ncv7WSVPEhQTN2SUj7lT7POwun3pjytJktxcKYhKkjOUUmS5SnOi1oiI4P16v4KbvCLv0HsfoqZjpJwT8j4M+s981yoKVQSFgARCFKJERASRiCw2KYXg8d4RJaBQWJM9c4tZTwtDEb5XaXpG6Ol0G3wRL/DQa+ooDBZtXMmL5XkH5TWT6SEhekb9XYy5yGmb0DdjMlXjJQM0ZRgwtAeM7COO/RuXerw3bWC5IlDoEqM8jTz7ceW6ON9uyIuxoZu9fEPeRSmlGHQLytpxNJ0SYmR72FuLjZ8hRqraUzUeH88EUJcY1iXPF9FM3YCtbIKLloNmh7RNL0mS80hBVJI8xRhFNRdilDRzaA2E0A4rT/9Sm0VNj9B794jzGY2PxO6IqDWxqYkSiSJIjIRF0PSoiezXQoYw1iCxDaEicfH7CCiUUlhjsfrlbTjbOlKJ4d1K83/uBl5QaLXRROChN1RBUUggW/1r25WR2RytDWU5IYbQbtSz52sR6+g5ma4weOpFkBKxVHHAbvGQedjCyeUNGb5pA8sLXWJoCLLcU+UQI+N5jfOOTqbRVzjZv1tkGK2Yzue4ELg1GrzWHKqr0rZOB8rGUzeeED1KIplRZCmAunZeLLPQ43bnAB8tYz9a9iElyRoTMu2XfRDXIgVRSfIUaxUxRqoq0uut3glY8iTvhOAFc4Hh08nqijHivUckEmJAYiSe/eVqOHyIzCeEssSbDpIXyHxMXFQ5hRiIIoBqBygvtrRVXtgyggNQup1rg8aYDKUuXmWgFNw2gfve8F5j+LE8kK5/PuogaOZRoWKgmx5SL8xoQ7czoqqn7B8/YHt4myLvvvBjNIGenVDokjo++b517JLrktv5h9yrf5zLql44HVjuDNnat6tGCjUnU45aeks7ChFhPKtxzlFowV6oIu7V5JllS2vG85pHh5FbW0OKfDUuF2IUKuepaocPAR88Rgkdq7F2+e2Tm6yJOToE7vb2aGYZVXjxY1SSJB+V6YaBnRP1HBUdcLPvR6vxzJIkK8TYtq1gPk1B1DrwXnBOKDqQysHXTwiBxtW4pqZpaibTI6aTSds2FyMhBIK0gZQuZ9jJIapp8CKEzgBRgnY1SikUCq0Vhc3R+nGwdBwUShkGJlBccjVOpmDXRB427byoW3bdL8Av1ywqjoLG+chWejh9ZVprup0hVTPj4OgB26PbdIr+c8PTvj3GUuPF8tG9NIp5GDGwh/TDITP/7LX3F6VUOyfKBwOs9xatQpUY5QhiWObzyqRsaJzD6ECWX1/QYoxma9BhMqt5dHjMzmhAv1tc29d/mvOBqvHUzuNDQKLHaujl+oLtqslVqkIHowJvdx/w3vwtXFzebSZJ1olRnoGdk5uGQjcEGjah1yM9eifJU5RS2FxRztIF5Trwrm0H0WlQ+VoIIeBcTdM0NK7Ge4f3HtfUCNDzDWVVopUCNMZqMtF0Z3uYckYMkbq7he2cv6VoHDQ+CFe1f6CvhfpkXlRP6KZ5UQA4gUde0wRhqDfhlOpqKaXo5H0aV3I4fsiof4t+b/SRMCrXJbkuMcbRhGfPNgqSUccut/MPqcLw0oZxK3UTBpZL29aoapolVkPNq4aqbgBHkV1/tY9WilG/YFY27B9P8DEy6nWure1NRKidp6w9zgdi8KAiuVHYPLXfrSbFzPcZ2Slvdh7yYfnW0ltbk2SVaRXo25KOqci1QxFxMcPFyCaU2KdHhyR5BmsVdSmISDrZWWHtoHJIl/2rK8ZwGjq5psH5pq2CqmuECKLQxlAUXYwx9Ad9lHqcGJn5hPzoEVJXNAK+v/3MjXjPU0ZFIwpLuNIgZFtH6tDOi/o/pXlRxJN2yABdIqlz9nIopSjyHsrVHE/3CMExHOycDtRXRPpmTK4rXHhxWFuHPnlWs5vd41HzDpdR+XMTBpbnqsIoh4hmWdVQtfNMy4YYHL1OtrTzEKUUg95iiPl4jA+RnUH3lTY4nlcIkbLxVI1r26xDwCihyDXWpPa71aeY+j6jbMzdziPul2+kTXpJ8hRFpGdLuqYm0zVWBZqYEznfDMibIgVRSfIMxihCiNS10OmkK6hV5f1iUHk6x1kZMUaca2iaug2fXEMMgbqpkdhWGRpjKIoO5kWBUvDkR48w8wmxbqjzHtK5eK/8JCrqIAyu+G6sFdxazIv60BneyTZ7XtRB0JRBYWKgSC15ly7PCrTSTMtjfAxsDXexJqNnx1hdEUUhvPgHL2hKP2SYHTLx21Tx9QcMr//AcqGjZ4tqqMsb5H4RPkQm85oQHb388jfkvYpukaGVYjKbEYJndzTEXmIVsojQnLTfnRk+bo2i2zEr8TNIzi+imfgBIzvB5QfsNbdIoxOSBEDomoqeLbHKkWuHi5ZKbvYsqOdJQVSSPIOxoDTMJ4FOJ6Ucq8o7wfnICi712RhngyfnGpx3BO/a4EkEhaCNpchfEjyd8bgKqqaJcuEqqBNeYBb1YpvShT/8wvLFvKh7tWagFbt2M2v1pkFxHDQ+RLbTffPKWJvR00PKasph9NzZGtLJFwO247Nb8p7mpMDFnDudD/hg3ie+JLx6mXUfWJ6puq2GAj46W+vqxSiMZxXeOzpGXemGvIsqcosxup0bFYTdrQFF9nqXETEKVeOoGn9m+HikY00aPr7mglimYcCtzhFOMo7d1rIPKUmWSChMQ9/OFwFUQxRNFTtsckibgqgkeQatFdbCfBbZvbPso0mexzshOsj7m/sgft3arXaurXhq6kXw5BcVTwGUQmtNkRcXHyIbAvbRB+T7DxdVUF2k/+ozWqZR0UQo1PUFQgMtVCJ8vzL0ep5Ny7GbCHvBUHthdI0/902ltaHXHVJVU2L1A6LNaLLzhVAnqjBkaPfZzh5y4N56reNZ94HlHT0no8LL9Q9ZFhHG8wrnPZkR7GuGPFfBLoaYj2c1e4djdkYDep2Lt5I4HygbT+M83gdEFsPHC43Rm9WacpO5mDEPXe5293DRMn/OzLokucly3QZQmXYUuiEK1BseQJ1YvWe5JFkRNtM0dZoTtcq8F1Ckf58rJCJPVjy5hhA8ddMshseCVoY8y7H21Z9STqqgtIKmCa9cBfX4uB8PKR9dc1HBro7cD4bvVYaf7IaNmY/0eC6U0FeRtD/geiiluT3U5MpxMC4puhmD7vnbmSKGMg7ZzveYhC1cfL0B3es6sNyqBqtqFLy0rfEqTMuG2jk0nnwJw8nPS2vF1qBgUjbsHbVh1KBbvPT29vTw8RAdGiE3YG0aPn5TVaGDIfBW7yHvzd6iictpeU2S62aVp5/NyXW7CQ+EOhYbsQ3vvFIQlSTPYayimkecE/I8PWismhilDaKSS3c642kRPoUQaJqaED3QXvjmWYF9hZlNHxEC+dHD01lQ5WgbP3z9z1uKwokiI7z+MV6QVnD7dF6U5p18/VqUXsVe0JRRYSWQr18OsbascvSzkq5VHMYOx9MxPka2en20Pt9zVxM75LrkTv4B96qfeK3hwus6sLyjZ1hq3BKGxZa1o6wdRE9RrP6puVKKYTdnXjsOjse40Gd70FtsO32SD/G0/e50+LgWeplGX7RqNllLs9BjyIS3u494f/4WPm3SS26wdhPenI6pF5vwAi7mr936fhOlR4IkeQ5rQFCU00C+u0Zn0xvCOyFGUOlx/VLN51OOx0c0TUXwbYijtCLLMjr2cocpmnJKfvQQ6oomtBvxut0BlOVrf+5xUFRB2FpShnx2XtTQCNvmZoemx0ExCZoYA8P0cHmNhFE+pdANLmR08gytPdP5lBADO/0h5lylaYoyDBnaQwb2gIm//cpH9HhguUHr6w+CX4XBkakaTcRf86lx4wOzsiHGhs6KDCc/D6UU/U6O0Z7xdEbwkd1RH2P04+Hjtad2j4ePZ0aRpeHjG0gxDQNG2YQ3ug+5N38jXZQnN87jTXgVmXZkKlBHu3Gb8C4iBVFJ8hzaKKwVZtPI1u6yjyZ5mveCayIr3MGwdpqmZjIdU1YzMpNT9DpXc8EQAvnxI8xsTKxr6qyHDF+vHegsJzCPGiPxdbr7XttAC6UI75aGn+55ihsa0FQRDoKhDpFRur68Vj1bkpsGpQQf2wfD3Fp0VzOt5uyFwO5wRHaOttkgGVXocau4RxmGrzwn6fHAck2WrUcQVej5ohrqep9QQohMZjXOtyGU0a//gCWiCDHD6OZaNnd2cos1mvGsJMTIsNelcp6wGD6udRo+nrRbOid+wJadcKvY51F9hzQjJ7kZhN5iE545swmvXNLm1XVyQ0+Lk+Ry2ExT1ze7kmFdeQcxgLHpYewyhBA4Hh9SlnPyLCfP8ysJoXQ5o/vwB5jxAa7xVP1tpHt5IRTAJGgaud4h5c+zqyNR4PuVISz/cC5dEHjoDZUX+sjGzMNaBUYFBtmcQjdU4cnQyBrNqNslhIZHx0eUdXOuz1nFHohiN78HvNoN9smB5atPE8h1hVYBucZXrtvh5O3ChyJT2EtIzUWgcX3qpodz13cR1A4xL3Cu4XAyoWkqlDh6haJf5Ni02jYBohgmvs9OMWE7P+JVH2OSZDUIHVOxWxwxzCZ0zRytIlXsEK75RY11lSqikuQFrIW6FLyL2CwFHqvEO7mWV3s3gYgwHh9SVyVaKzJ7BRdjMZAf7WFmx8Smoc66SO9yAyhoB2ZPoiLGuBIb64yC2zbwwBvuO83HbtC8KBF45DVVVOSkuVDXbZRPyXWDi5ZnVRZorRl2u0zrmsPJESGO6HdeNlRaU4YhA3vE1I+Zh1dbub5OA8uLxWyoINd34SAiTOY1jXNYFc9VsfbyzwmN7+ODhSjUoYcxDmOupyrN6DaM8iFizfq0GCbXy0vG3He52znAx4ypHyz7kJLkwj66CU9RpU14F7YeZwlJsiTGKhBFOb85F483QfBCCHIzH+9jQB09wvzgf2M+fBc1n1z5l5xOx1RVifeOIr/8V9F1NaPz4IdtFVTtqHrbSOfyQyiAeVR4UWQr9EJroWDHRD6oNcfh5txoj6NiFtu5UL10NnGtOqYi1zVGBfwLAhSlFIOiwBrF0eSYaVW99HN7yWlih9vFB2j8Kx2f0m0QFVf8qVMRKXSJUZ5wjdVQ88pRNQ4lnjy/nGohF7rEkKFpyOwMpYS66SPX+FiolCKzaQZU8mJ1LKhCzpvdRxTm5Y9JSbIqrHJs58ds5WP6Zkaha+pY0EjBzbwouVrp1DFJXsAYhcmE2WTFz6Y3jPdC8HLujVBrIUbU8T7mvb9GP/wAOTqCH34P/e3/if7ht1HTI67iiqKq5szmE8pyRueyw6EYyA8fUDz6AJnPqVSOG+1ylYObxlFTBaGrVyiJAgZKKHQ7L6q+AQ8nZVQcBkMTYhpOfs00kWE+o7A1VXh5eKKUolcU5JnheDJmXtUv/Zgq9LHKsZPff6VjPDuwfJUVeo6hIVzjFq+68cyqhhgdncJeSmjjfUHwBSIOa9rZUJmZE0JG464m9E+S11GGLlE0b3ceYJVb9uEkyQsZFRhlE3aKY/p2RkdXNJJRxS6SAqhXlk4fk+QlrNVU1Wpd1G467wTnhGyVyl5elQhqeoR5/zvoh+8j4yNCUISdO/i3fpyQ9eHee+i/+jP09/836ni/HY51Cbx3jMdHVOWcotO71FexT6ugjg9wtafqbREveRbU0xqBKioMceVmFSkFt3QkCHy/NsQ1vul6gYdet3OhlKQTiWs2zKdkqiFGjVxg81Q3z8is4mByRNW8eGaUYCjDiK3sgELPLnyMZweWr65IoeZkyl1bNZTzgUlZE6Ojm11O+5oPGc53iTFg9eOQUeuAMTVN0yGENIkjWTWKqe9jdODN7kO0Wo/FBslmUUQGdsZOfnQaQLloFgHUar/Qsg5W+QwhSVaCsW3wEfwNKGO4IZxrr+L1udaSry41G2M++C76/g+RowOCi4TRHaQ/AjQohQy3CW/+OGGwDY/uo//6f2He/Rb68CGEV2ubAYgxcnR8QFWXGGsvZVDu4hOTHT5sq6BmMyqV4UY7V1oFdWISNHWE7pV/pVdjFNw2kUOvuL/SF+jPJ4vh5HVUFESyFQv8brrC1BSmJteeJl5sq91JZZTVcDA5pvEvfvxoYoGPGXeK91Fc7PlvHQaWF6rCKEcQw3W0VIQYnxhOri/hMTFEg/M9JAYyM//I3ESrK5QKVE0fkXRnTVaLoJi4IV1bcafYv/DjTJJcHaFnSm4VRwyyKV0zB2ERQKVg/7Kkn2SSvIS1ihiFsowMUg/K0okIwa/3rhVVztAHD6CcIWVJVBYZ3n5+WKMU0h0SukNUPUMf7KEOHmG2dpDbbxJHtyA7/yv6Z4eTi0SK/HIqlXQ1Jz98gKpKXBRcf/taAih4PKRcJK700OxCCzsifFBrBkYYmfW6JR8GTRkVEgLd1c0YbiRFZJjN6JjzteQ983MoRb/TYVJV7B8fcWd75wUhtKIMA4b2gJF9xLF/44Jfa5UHlgsdPSNTNY1cfevayXBy5xy5Fqx5/dPvGDWNGyARrKmeWV3VtuhVNL7dpNcpLl7dliRXKaKZugFb2QQXLQfNDmnWTrJsXVMxyKYUpiZE026UTS5dCqKS5CW0AW2E2UQYDJd9NEnwEIOwluOh6hJz8ADmEyjnBGWQ/k67nvGcpOgT3uyDq9GHj9BH38IMt5HbbxC3b8M5ho3P51PKak7tanqd/ut8R60YycZ72Okxsa6obY/Yv94n7WlUOFHkaxBRDnWkEsO7leGnep58TW7L86g4CpraR7ZTCHXtBtmcTDcIEF+jJaAdYN5hUpbsj4+5vbWN0c8OjCKWKg7YLR4yD1s4Of8yA6WF6AwxwnM+/dLkqkIrh4jmOi56J2VD7RxGB/L89bfziSga34ZQRpenM7meReuANTXOdchMg7FpHk+yWrxYZqHH7c4BPlrGfrTsQ0o2mFGBvi3JdU0dOmkG1BVasVODJFk9SimyXFFVqWR4FTgneB/Rdo2eGJoa/eCHmPe/C/sPifMa39tBhrcuFEI9ISuIdz+Ov/MOsa5R3/vfmG//GfreD6B6/qveTVMznY4pyznd4vXnQul6TufBD7BH+7iqoepe/SyoZ5lETROE3ooNKX8WpeCWCbgIP6jWY16UO5kLFYWRTqdl1y3Tjq4tyU1DHS7WkvcsWisG3Q7O1xxMxsQXrLerYxcRxe38Qy5Si7q6A8vbaqhc1The/2f5MvOqoaobEEeRvf7rvyLQuD4haIyq0Orl5yZG12jlKVOLXrKimphThg53e3t0TLnsw0k2ljDMpuS6wkebQqgrloKoJDkHYxSuFuI6XDHecN4LzkP2+i8qXz3XoB+9j3n/O6i9h8R5ie8MiVu3wF7SN2Az4q238Hd/jBgF9YO/xvzVn6Hf/y5qPnli014InuPjA6pqTqfooF+nTCFGsqPFLKj5ySyo3cv7vi6gjo+HlK/LKcPJvKh9r3i44vOi4ulcKOjK6g2Cv/mEUT6lMA11yLmsCh6jNYNOl6ouOZxOkedu5VTMw4iundC3h+f+/Ks6sDxTNUa5RaR2tcdWN55p2RCDo5tnrx38i0Dj+/hg2xBKn2/As1JgbYlETV1fQhVsklyBKnTw0fB29wGZfvl2zyS5bF1TkesGrYTAOlxorLfUmpck59DOiYpUZaTXX7VXdzeLXwwqv8wNb5fOO/TxHnp80M6ACpHYHZ6rbe6VGUPcvksc3UZND9EffB+9dw/ZvYvs3CH2tzg+PqSqSpQ2mNeYUaLrsp0FVVc4H3Dd0VICqBPjqGki9Ff4JvEsHS1si/BerTEatkxcyTa9g6CZB4UKgU56+Lt2/WxOrhtAiHK5p23WaAadDtNqhlGarUH/mY+tQTLq2OV2/iFVGBLk5ff3xwPLLbA67WAdPSejxsvVVkP5ECmrkhg9nfxyNuS50CWGDE2D0RdbVqFVxJoK57tY32DtizcnJsn1U8x8n5Gd8mbnIR+WbxEu+TEvSZ7npCWvMA3VJVQeJy+X7t1Jcg7GtjMu5tMURC1TjIL3srqTykNYBFD7SFUSGk/sDGFwjXvctEZGtwjDXdT0GH3vPfSj+0y6fWqbE7Kcbm/wap87RrLxPnZ6RKxqalsQh1uXe/wXFASmUSMxkq3hXXOkI040P6g0faPZssJIR3p6NeagTYPiOGhCiIzW8Oe77ozyi1kVDWW4miA7s4ZekTMpJyitGPWe3bJbhz55VrOb3eNR8w7nqcxqB5avwA15waoGq2oUcmWrt0WE2nnmlQMFhQFzCUsbvC8IvkDEkZlXC5GMboiSUdV9esafq60vSa6XYuL7bGVj7nYecb98A0kNPMmVW7TkqRoXrmeTapKCqCQ5F6UUNleU83TStkzeSTv4dtUuiGNEjQ/Qx3tQzonOEfIebC9x+4tSyHCbMNymGu8ze3gP8RXbW7eI27cuvNGurYJ6iKrLtgqqt9wqqBPTqHARihcM611lSsFtGwmLrX/3asUjbdhabNQbmki2pJtQI7AXDE0QhipNSrh+bUtebhpctFzlY0mRZe1mt9mkbdnrfjQ8FzSlHzLMDpn4Har48u0dqzawvFAzLDUNr7Z18EV8iFSNo2o8IQZiCAx6+aU8YfmQ4XwXie3g8VfVbtGbU/shdd2nU0xY5eLiZDMJmokfMLITXH7AXnOLFAwkV+m0JU9HXLzC7oXkCSmISpJzslZRl4KIrHZb2A3mPfgmrkL+0RJBTQ7RR4+gKpGyJuRd2NpmVU6aXPCMRTEbbNOVgMzG2MkRpj8kbN/CD3aQF/1AJZIdL6qg6oba5EuvgjprHDQuCINVCycvyCjYNsKWCKUojp3iwGm6VrOzCKR6Sq7tojEKPHCGKgg9ImYFQoRN07UVhW7QKtDI1VdVdvKcKHA0GaO1pld8tDXBSYGLOXc6H/DB/JMv3d53dmD5eecZXRWDI9d1WwV0Se0+bfVToGocjQuEGFDSVmdmHUORWerm9VrgQjQ431uEUPPXPv9QSshMifM9gi2wNs3iSVZPEMs0DLjVOcJJxrFbnfOO5GY5qTwuTE11RZXHybOlICpJzslYRYiRuhI63dUIGTaNd0IIUHSXfFUsgpqN0YcPoKraOVC2g+zcZpV2QMQYOZ5PqFxNZi3KdKg7fZRvyI4PsbPvYbuPCNu3cMMdJHvywvNsFZR3gaY3XIkqqBNlVDSiyAgrEvu9PqWgp9rtf0HgOGg+8JBpw8gIW1YY6shVL43cC5oyKqwE8tW5SW8MrQKDbN6eGPvrOzHu5hkikYPxMXprm07+0cqhKgwZ2n1G2SOO3Jsv/HxqEZ56p8my5QZRhZ5jqXHnmG/1MiFEysZTNx4fPSF4jBI6mcG+xvy9p8WoadwAiWBNdWkvghntCNpRVj36PYfWqdo7WT0uZsx8l7vdPVy0zEMatJ9cNmGYzch1jQtXW3mcfFQKopLknIxpLxLn00Bn2UHIhvL++ipCnkfNJ+iDB1DNkXlJNDmydRvUat0mRITjckrlGkQgO3NxJDanufUGLnjs5Aj74Q/pdNpAyg93iHlBNj7ATg6RuqEyOXE0YtWeoCdRUQdhuFqHdWmMgl0TEYG5KI4WVVJ9q9k2kZEROldQJTUOiknQxBgZrtbNemOMshm5aghirnV9tFKKXlEwqyoOJsfc2dohs0+eKkYMZRyymz9iFka42HvB56PdPrTkgeWaQK4rtAp4ebVgT0RofKBaBFAhepRErFF0CvN6W0if+fUUjV+EUHp+Wl12WTJT0siAukktesnqqmMHGwJv9R7y3uwtmtQ2lVyi3klLHhFHum1dtxREJck5aa2wFuazyO6dZR/N5glBCEFY2qTyaoY5eADlDCnnRGWR4a0LzVm6TrO6pGoafPB0n7OtT4zFbd/GxYCdHZPdf5/i4BHS76O8x/tA012tKqgTXmAW9eJCcNlHc7WUgr4S+lrwAsde84FXPNKakRVGJjLUgrmEC8k6wn4w1F4Y6fWcu7XuClNTmBprHKV/fshzVZRS9DsdJmXJ3vERd7Z3sE89zjWxQ65L7uQfcq/6Gy8cJqy0EKJGhKWFHYVuZ0OdZ9vf00KMVI1vZz+FgA8eoyIda7BX9NgoAo3rE4PGqPLSQyhoq9WsKXG+jzcdsqy69K+RJJdhFnoMmfB29xHvz9/Cp016ySUwytOz89SSt0TXck/+8pe/zP/4H/+Dra0t/v2///cATKdTvvSlL/Ho0SPu3LnDb/zGbzAYtJuc/vAP/5Cvfe1raK35whe+wKc+9SkA3n33XX7/93+fpmn49Kc/zRe+8AWUUjjn+L3f+z3effddhsMhv/7rv87du3ev41tLNozNNE2d5kQtg3dC8IK+7mE1dYk5fACzCcxLgtJIbxfs6p4IVa5hWpVUrqabn2MFrTb44S6+v42dTzCTCb4YEIarVwV1YhI1zRoPKX9VVsEt21ZJTaNiv1HsYRhY2LaRkY50XvEuEgQe+DaE6qt4KcFWcjGKyCifUpiKyi9vfbRSikGny6Qs2R8fc3trG/NExY+iDEOG9pCBPWDibz/3c2kd8d5SVxmd7vVXRSkihS6x2lPH87X2iAhuUf3UuIALHiRgNfQKjdGXP+z88deGxvfxwWJUdaWztYz2RN1Q1T2Mdmiz3PbJJHk2xTQMGGUT3ug+5N78jZfOp0uSFxNG2ZRcN6klb4mu5YruF3/xF/kX/+JfPPG2r3zlK/zMz/wMv/u7v8vP/MzP8JWvfAWA999/n2984xv89m//Nv/yX/5L/tN/+k/E2Pau/8Ef/AG/9mu/xu/+7u9y//59/vRP/xSAr33ta/T7ff7jf/yP/L2/9/f4z//5P1/Ht5VsIGsVIQiuufyLXxEhBsF7wTmhqSN1FanKSDmPzKeB6SRQziPetWHYJjn5udjs+r5vvX8P8/53Yf8hcV7he1vI6NZKh1A+BMbllMrVFDa/WGCqNX6wRb37JqE/YFWfmEVgEhQ+CJvaJasUDI3wpo3cNoHaC+9Viu9Ulvec4TgowgXvKnu+nQuVEdNcqCUZ5jMy3RBEI0u+0NJaMeh2cK7mYDImxidvUEEyqtDjVnEPq54/8FprIcsCdVXg3PV/T4WeY3D4+PLH7Rgj86rhcFJyNC2ZlSUh1BRG6HcsnSLDXPHaVue7xJChaTDaX+nXArCmrbiqmj4bdlqRrJGTTXp9U3Kr2Gdp1fHJjdCzJZl2KBUJrF7V/6a4llPNn/qpnzqtdjrxzW9+k8997nMAfO5zn+Ob3/zm6dt//ud/nizLuHv3Lm+++Sbf+c53ODw8pCxLfvInfxKlFL/wC79w+jH//b//d37xF38RgL/5N/8mf/7nf75xF+nJ9TAWBMV89tFXDSW2rWPet0HVSZBUziPzWWS2CJImx4HxUeDowHO47znY8+w/9Ow99Ow/8hyc/NoLHDxy7D907D107D30HDz0PPyw4eH9hv2HnvFRYD6LuCbe+Nu8dwIRzDVVRKmjPdThHnE2w3eGxK3bkF3dq+CXIYoshpM3GKWv7Wd13UpROGkDkwQyBbdt5E0TySSyV8P3SsP3assjr6nP8WM6Copp1BACvZt5s1l5uW7omIpMOVxcXjXUWUZrBt0uVV1yNJt85Hmmij0QxW5+jxddGBoT0TpSzgpCuM6AO1KoOVY1BJ7/+N34wHhWcTAuGc8q6qZCiaObK3qdjCwz11IF7XxBCAWIw5rX27Z3XkpBZuaEkNG4628FTZLzimKY+D47xYTbxT4dU5ECqeSirPL0zJyOqWlW5Ll2Uy3tZf3j42N2dnYA2NnZYTweA3BwcMAnP/nJ0/fb3d3l4OAAYwy3bt06ffutW7c4ODg4/ZiTvzPG0Ov1mEwmjEaj6/p2kg3RzokSxkcR8IiAxHbVuYiAtNUaIhCjEEXavw98dD6Gon1/TupO2qHD7cmuAgVag7Zgdfu1lVKEEHG1aoOtcUCAPFfkhSYvFDZTZFn7X61Xs6LlokQE77i2Ap2TgeQynxNXeA7U0yaL4eQxxvO15K2pcVBUQdi6GTfvS6MVjIwwQqgFJl5z7DVdrRllwkhHBlp4+mGhjIrDYGhCZLQeN/UbRyEM8ykdU1PH1Qq8rdEMOh2m1QytNFv9/plQRlOGIQN7xNSPmYfnr1i3WaBpLOW8oD+ormVeVKFKjHJEMTz9BBJFqBtP2Ti8fzz7KTcaa+21t9/7kOF9F4kBa55fYXYVtA4YU9M0HaxpMObqK7GS5FV4yZi6Htv5hIGdMw095r5H6TsvnFWXJC1hmE3JTUMdMla18n9TrFx/yfOqOl5U7fGsv3veCcRXv/pVvvrVrwLwW7/1W9y+/fy5BuvkXlWytfX8E8Dk8hR5oJwHJGgEAVEYtUiZ1GJdNardFmTbMEifCZIuWwiRuo74RnCV0FSQ55pOx1B0DXmuyQtDlmvMaw59sdYu5T7jmogrK6xx9AZXXEJbl/DokCCReOdjqGK1LgqfZ1rNQSu01ez0t9Z2hplWim63+9y/dxG8KDoEeiv3DLY6CmBEG5KPAxxExbEotrRi27aBVaHboe/3a0WMwk4RyG9IeP0ySimKFbpv9+2Uvo1YZYmvuNXtKuW5xVjNrJxTFAVbg7OzlnJEB94aPOR+c4v4glPLTgfKqkCpnH4/XEkYpQhklGSqxODIBJzaIltccDgfmNeOuvb4EBAJFBkMe8Wlt90prSjyl9/OQjD40MeYQJY7tL7+B7dMPFVT4MMW3U7aorcuznsbu1lyKgYY67iVz7lNxTz2mYcBZei+8DEoeTVaa7rd1XtuuqiemdHTkOlspTcwOgK3d3fpDm92Uc3S7qlbW1scHh6ys7PD4eHhafXSrVu32N/fP32/g4MDdnd3P/L2/f19dnd3n/iYW7duEUJgPp9/pBXwxOc//3k+//nPn/55b2/vKr69axdCl+lsvOzD2Bja8uT8FXnqvyeu80VFBRhAhNlMODoSYgSFQlsoCk2WtyGVzRRZri4cTN2+fXsp95mqjBzuOwSFu8q2juAxH7wL02N81gPn2l8rrvGOw+mYeVPSyQuqan23H3W7XcqyfO7fH3jN1Gs6MVCnubrn0l38qiIcNJoHKHoatjJBgFlQ2BgQDddbh7E8RZFT19fT+vQyVjmsPkbHkqnvcr1PHOenUWRGs3+4T/CewZnA2JEzyvbphO+z33z8hZ9Houbo0OCaiiy/rDtxJFc1ua4wqkHRgHIEgYqMKNXp5jvnAzF4UJHMKDLbtt15H/Bc7oNKkefUzYtvZzFqatdFosPqOX6JbfZKpjSuz1gyOsVsaceRnN95bmM32ZwuGk/PTthSh+R0mfo+ZejiYpr9c1m63Q5lub7nltA+16r8GEzFJHaA1b3fBN+wd3BAd0XOU17H22+//dy/W1oN42c+8xm+/vWvA/D1r3+dz372s6dv/8Y3voFzjocPH3Lv3j0+8YlPsLOzQ7fb5dvf/jYiwh//8R/zmc98BoCf/dmf5Y/+6I8A+JM/+RN++qd/em2rAZLkdSmlyDua/tAw3DL0RwqbQV1FxkeRvYeeh/ccj+45Dh45JseBqox4v7oD0J0TvL/iEU0xYh68B/MpXhVQrMesjBAjx/O2JS83OVrd3NL0KDCJihgjxc39Nq9MR8EdG3nDBJRE7tew5xTEsLFD35dPGOXt5p5mDdoEOnlOnlmOJmPKMyfIgqEMI7ayAwr94gDDmIgxkXLewfvX+X4Fq2p6+phtu8fAHNLXhxTMgEgjPeahw3gu7I/njGclVV2BNBQ59DsZeXb9LXhPfAeiaPwAiWD1HLXkLaBat22BzhUEny7ik/UQsUx9n4kbYrXnbrHHm92H7ORHFLomzZFK2pa8GYVpaGLOqj/Xbgol13Dl+Tu/8zt861vfYjKZsLW1xS//8i/z2c9+li996Uvs7e1x+/ZtvvjFL55WMf2X//Jf+K//9b+iteYf/aN/xKc//WkAvvvd7/LlL3+Zpmn41Kc+xT/+x/8YpRRN0/B7v/d7fO9732MwGPDrv/7rvPHGG+c6tg8//PDKvu/rVM1SRVRyPiJC8ELTQPSAErSGLFfkuSbLNVnezpiy9sk212VVRB3teyaTQPcKpyjrRx+gDh8RXECGu1f2dS6TiHA4GzOrK0SEIlv/C4cXVURNg+KBN0QfGZh0Yvm6RMDRDjvftFOyVamI6tk5o3xCrh1VWN02gbNEhFld4wPc3tqhk5887gh9c0zE8EH5iRfOaxEB1xi0EfqD8kJtYAZHrityVaGVI6NGKSGKwZMhoqldW/3UuECIASWhrX66pqHjJ15UrSICjRsQgsWoEq1Xo8RTBJzvI0rR7x4vPRxLXmzTK6KeTejomlw3eDHMfJ+Z71GFIs2RekXrXhHVtzP6dkauPfUaDCgPvuQTn/1/0+0/u8NrnbyoIupagqhVloKoJIHgI00N3rcPB1pBVpwNpsBmiju3b7N/sL8Yqr64eFXPn8l2GWIUDvY85SzS7V/NCYQ63kfvfUicVcTtXZZYLHoh43LGtJpRO0evWI+L2Jd5URD1oTMcOthSkdccd5ZsuFUIoozy3Ooc0bVzSt9lneJAEWFaVQiGO1vbZLad9KDxDO0B+82bHPsXvyAoAnWdkRcN3W7zwjBKE8h1Sa4qjHJYGrSKCOClQDA4H6gaT+08IQRiDBgVyazB2uVM4X9eSCACje/jfYZRFUavVjtmFE3jBmS2odOZLvtwkhdIQdSLZcrRNSWCZua7zHyfeegsFhgk57XOQZRVjp3imI6uqGKHdXiu3ZQgKk1zS5IEYzXdM48GZzfzxdi+SpvnitCUjCeexV4/Tn6jTwe1Px1QtSHV6SLAp8Krk/eHxx/bLgx8/DHBCzHwkU1fl0XNJ+j9+8hssSFvTUKosqmZ1xW1czd6Q96JJkIVFYaQQqjkBhBG+Yzc1Lg1aMl7mlKKfqfDtCzZPz7m9vY21hgilioO2C0eMg9buBcMXlcK8szT1DnWBPLiyYogRSRTFYWusKpZBFAOAZxkeOmcbr6rmgbn2+onTcBqRdYxKLWap7nOd4khQ9OsXAgFoFXEmgrnu1jfYG0KOpL15CTD+QyjPD1bMrBzylAw9X3mvouX9a8kT15EGGWztv09teStnNV8hk6SZKmM0ZgetNPPQaLQNEJdB1wltK9DL4oppZ1zoVT7Ku8pxeINj/t+Tt8kgJK2kkq1IZNSoPTZ8EqdfqhrIvoqzhWaGv3wfWQ+I/S3wazHK2QueCbljKqpKWy2ETPxxlHTxHbodpKsu46pyXWNIdLIegbJWikGnS6TsuRgfMytrW2M1tSxS65Lbucfcq/+cV504q+NYGKkmnfQpsTaQKZqclWR6RqDw6oGBIJYanqAWlQ/1U9WP2mhk2msWe0LS+cLQihAHNasbsBjdEOUjKru0zMereKyDylJXlkQy9QPUES6puJusU+V50xdn9J3qVNIcSP17ZxMt88hkfU4x98kKYhKkuSllFYUHUV/YPHhtB7qtcQY2ycGOfkzEBfbCCOIElQEQdAKrL3kE4TgMQ9+APMZoehf8ST0yxPPDCe31mDWJDx7HVFgGhVRIvl6FKwlyXNpFRjmMzq2pvLrGUKd0Fox6HYYz0sOJhNuDUdorZiHEQN7SN8fMgsvnrlnrUeI2KZklB9jtCenHTAc0TTShk8xyunsJ+cDITiUknb2U369s59elQ8Z3neR2A4FX2VKQWbm1G5IXffoFNMLzfJKklUkaOahBwiFqrhdHOKyMVM/YO67aY7UDZJpR8+W7QzGNZgLtYlSEJUkyVJo3T7Rv/zp/grOfE825M2meJWvzYY8EeG4nFE1DSJCtuKv/F+WaVS4qMhJr8gn62+YzchUjY/mRlzwGK0ZdrtMyjlHWrEzGBLIqGOX28WHVOWQ8Iz2F608hS4pdInJHdEL0gRsUeNUO/cJoPGBqnY0PuBDQKLHaOjlGm3W5zQ2RIvzPSRGrJmvRXCmlJDZEud7BOuwdrXDsyQ5P0UtXWrXIVOOrWzMlp0wDe0cqTLNkVpzwtC2LXl1tKRqt9W0Ps/gSZIkl0Qf3IfpMSEIDIfLPpxzm9UlVVPjws0ZTn4ek6hporCz/tfsyYYrTE3H1GTaU4b1CMDPwxrNoNNhWs7QSrPV71OHPnlWs5vd41HzDu30v0ChKwpTYlWzmP3kEYFK9ziudmko6eQlVdNQNR4fAj54zGn1k12LEOesGDWN6yORtQmhThjtCNpRVT16PYfW6QWB5CZROMlxPscoT9/OGdo581Aw9QNK30lzpNbQwM7JdN2OD0lxx8pK/zJJkmwUdbyPOt4nVg2yfWvZh3NutWuYViWVqzdiOPmJ+syQ8vW5dEuSj1JEhtmMwtRU4ebdhzNr6BU50/kErTWjXo/SDxlmh5Rh2FbX6Bqr3OICQeEko459AJQWlJTsH0Vs1qBoEPHYRfWTWaPqp7NEFI0ftCGUnq9le1tmShoZUDd9OsVkLb+HJHmZdo7UEEWkZyr6xd7pHKm576Zh12si046uLcmNowqb86LtOlrPZ/UkSZJX8HhDXkkc7rAuG/J8CIzLGZXbnOHkJ06GlPc351tObqhB1g5NFdRp29lNU2QZUYTxdIzRmn6ng4s5t4p7uJgDQhBLFfqcXNCFGKmdp3YO5wONMzhvGfVr8mz9qp/OEoHG9YlBY1SJUvLyD1pBSgnWlDjfx5sOWbaea9yT5DwEzexkjpSuuF0c4DLL1A2Y+R5lKDh5/Frjh6cbqX3BZ0qhG2qfpX+gFZeCqCRJNsMTG/K2YE1eXY8iHJdTSldjlN6I4eQngsA0aiRGss35tpMbyKr2FdrCNMz9zd792M1zRITD8TFaaShGWOXwYjndxCqC855qET6F6EHazXejnsWHLWLMgPFSv5fXIQK16+EDGFWhdVj2Ib0Woz1RN1R1D6Md2qz395MkL6eoQpfS9zFEetrTsVOmRI7qHYJYOA2XpY2mngibF79Xi7/j8fu2b5DFVzl5v6feh5SjXFTfzslUgwiIWo/z/E2W/oVuAPnu/0ZVHUxTI9aCNmAMYrJ2Hb02iLHthbc2oNejCiRJLs3ZDXl5b2025AFMyhlVUxNj3KiWPDgZUg6dNa0iSJKWMMpnFLqhCRmb0NrRzXOi1OyPj7i9tUNn8djVVj856sbjYyAEj9GR3CiseTxQVjGn8QNq1adTzJb4nbwaEXC+i9IWzRyj/bIP6VJYUxLFti16nXG6SE5uJBGI0RJiRowZIpooMJNIbkq28kNyVbJf3mLuuohSKPTjDAkAdeah/vEd5eQ+o5585/btz/m7J8Iu9WSY1b6vcDbcUk8EXZsTaGW6oWur1JK3RlIQdRMMR7gPPkDKafs4JJH2wUq34ZO1i0BKt0HU6Z8tYkz7PsYgevG+KbhKbhKRxxvyyKDTX/YRndu8riibisa7jQuhAMZB44IwSNVQyRrrmopcNygd8X4z7sdKKfpFwbQqOZgcszMY4UKgcZ4YA9BuvusUBqU++sKA1gFrKpzrYI3D2ub6v4lXFEXjXI8YLRaHNetz7C+jFGSmDQkb16XIy2UfUpJcChFFiNkifLIgiigAAaPaBRNKCQJMXI9hPuOd7IfsVbscN6Nzb9iTRY50UiOFqPb3InDmbY+1gZagUKjF38mTyRXtH88GWEqffPTjqqzTPz8RZsmZj3s6zHqyOmuVnc5gVDW1zzcjebsBUhB1A6i7bxPvOUJv68m/iA6cRwUP3oE4VKxAIsRFqv7M4GoRTmnd/joJs54TXElWQN5Jd/pkJen9e2c25I2WfTjn1njHtJpTNjVFtllzoQDKqGhEkaUh5cka00QG+ZzC1lR+s16hVUrR73SZzEuOpmOUUlgdKazBmJdXhhldE8VS1X16OqxFa5sPGc73kKjQqiazgnPLPqrLpXXA6Jqm6WKNw5ibUe2VbJ4YDSFa4iJ8igKIoPAY7TE6PPPSRtCMmyGFrnmju0fXVOzXu9TnWELx+PM93bb36p4Ot0Q0hJMv8biYQJRCnYZcJxVbJ1WoJ296OsxqP6urLSL1ys65G2RtS15EIyq9erkuUhB1k+kMiuyJHPuFDx/RgQuo4MB7iE0bUj0dXBHbB+qT4CrPIS+g20OK7ukvss145TdZXacb8uoG2VqPDXkiQtnUzOqSsqnJbYbRm/ekOomKOgjDlEIla2yQz8h0Q4ia17/cWD9aKYbdLlE8RmuUOv8a9LPVN1Xdp9uZrOxFkIjC+S4h5MQYsaZEq4i6oTNKrKmIYqiaPr3OeGX/XZLkLBGIYgnhTMtdBIho5bDaoVU89+erY4FrLKNsSsfW7Fe7jJsBcs2LcJ4Ot5Q6G9qfL8A/G2aJLKqtTsMsRVVahC42X72lC7lu6JjUkreObuYzZPJqToOrx3fiFwdXbaWVKueo6hh1dICSiLIZFB3odKDTR4oOUrQhFfb8J6FJ8jrWbUPe2QCq8Q7nHcYY7AYNJz/hBWZRoyViN+/bT26ITDs6piJTjjL0ln04S6O1QvNqz/1KySKM6lM3vZWcFxWiwfk+IWg0DZlpbnyBeBsSVu2/i+vSyefLPqQkeaZntdyJgJy03Bn/WsFKFMNRM6JrSt7sPaBjKg7qHVxcr+uds2HWs34eNqspKwvNaoVRJy15eWrJW0spiEpenbaQWyTvPg6sRKCpUOUUVR2h4h5KBJUV0O1A3kE6PThbObUm28uSNXK6IW9O6I9W+jZ2EkDNm5LGe2rXoJWikxcb1453YhI1TYR8RU50kuTihFE+pWNq6rg+yxFW0eN5UV2s8VhbL/uQgPZ0x4cO3hdEEawq16J98LK0/y41rumQaYexN6wHMVlbMerTQeNPttwFtG7b7i739EpRhh5NzNjujOnair1ql6nrc1OWUygtaF3jQ4E0XbIVCaMG2RyrGkgteWtpda/OkvWk1OOQ6eRtEqEq28qp6QwVH6GIqKJo37fTg04XybuLj+20Q9KT5FWc3ZCX9Va2RVREKF3NvC5P15grBd0NDqCgvbibBIUPwig9DCRrqmdLMt0gCFHSqdbrsqZp50VVfbq9dnbLMp0dSC7Rk5lqI1+IN7omxKxt0TPHK3Fhmmyek5a7uKh8knjSciev1HL3qoJkHFZbDLMZb/cfsF9tc1RvEW7Ic4BSEa1rQihgBcKo1JK3/m7GPSNZbUpDt490+4/DqRhQ1Rw1L1HTCcSIVkDRbWdO9QZtS1++qJrKO2l7X/JyIpiH78NsRlAZdFevHUZEqFzNrK5w3lG7BpSim+cbHUCdmEdwiyHlSbKOtAoMsjmFbijTyfGlycycRgZU9WCpc4l8yHG+i0TQqsZucCWQUpDZOY0bUNc9Op3Va51Mbqa25e5x+HR2y13bIuuW9BihmLgBmW642z2gt6iOKn13Ccdy+VYljDrdkqdrmpBzUyrPNk0KopLl0AbpDZHe8PHbgkOVM9SsQk0mKAkordtwqug8HoaeL6qm0qa+5CmnG/J8REbbyz6cJzwZQHlqV8OGt+A9y3FQVEHYSj+SZE0NsxmZcgQxpJPjy9POJSoX86L6FPn0Wk8Bzg4kl8VA8lQBBFrFtnXSd7HeYW2z7ENKbigRiDHDx7xtuYuLjW/i0dqTXXrL3atzMeegsgzzKR/r32e/2uG4HhFXfF7peaxCGDXIZljVEEUTSeXz6yoFUcnqMBky2EYGZ97m67albzJFHR+286a0aedNFV1kMEL6I6Q7SO18G+50Q15Vr9SGvDaAapidtuDVKKUo8gK9KmdMK8IJzDwYETZwRntyAxSmpmNqjHZUGzyg/KqcnRdltCPLrmdeVIgW53qEqNE4rKlX5oJ3FRjdEGNGVffpGX8tbVDJ5hBR+JATYtG23Ymg8VjlUSqs7H1R0IybER1T8kbvER1TclDvUofVHBlxEcsMo3LdPs/m2lPFVHW8zlIQlaw2WyDD4slh6L5GzWeo8hC99wCV59AfIaPtx1VWKzycOrl8qpy2G/Lmc+Jgl1XYkPe8AKqTAqjnOg6aRkEnVRkka0ghDLIZhalvxIXGqrKmQcRQ1X20Dhjjr+xrPR5I3kE2cCD5eSkF1paLFr0+RT5PP6fktcVo8KFYDB5XKIloXa1U5dN5VKFLE3NG2ZSurXlU3mLqBsiaV8wuI4x63JLXUK/ZZsLko9LVerJelIKsg2x1ECCKtLOmJsfowz2UtdAfwWib2B+1oZRND1Q3WlOjH7yHzGaE3tbSQ0gRoV4EUI331L4BIQVQL1FGxThoRAWK5eeISXJh/WxOrhsEkNQqcKWsKYmiqZoBvc7VDMmOUeN8jxAsiF+04qXH8OfRKpLZOS70iNUQax2ZrVIglVyICISYEULRLgMQFve/Zq0r7aIYjpoRPVPysf4D9uuKw3obv+ZhymkY5Qvg6sOoYTbDKkeU9Dx7E6QgKllvSrVD0Lt9IkA9R0/HqONDtNHQHyLD7bZ9rz9c2Q1qySsKAfPghzCfE/L+Uv99HwdQ7RDyyteIQJFlmNQ2+kJB4JHX1EHYLWSx7SZJ1odRnp4tybVLA8qvQTsku63AqeoBnWJyqRUSTw4krxZVVymEehmjPVqNCbHAuRzvsxRIJedy2n4XCkQ0IoKiwepmraqfXkwxDz2amHGrOGoHmZe7zHyPdX58USqizdWHUYWuKUxNrhyV3Izh75suBVHJzVL0iMViLoer0NNj1OSH7Ua+/gAZbkN/ROyP2mHnyfoSwTx8D2YTgrJL25AnItTeMavK0wAKILcpgDqvg6CpoiInkGnL9Ux9SZLLM8rbljwXLet8QbFO2gqcEud7eNMhy6rX/pwiisb3iCFDJGB1lQaSX5BSYE2N0TUh5jhXnAZS1laYFEglZ3yk/Y7Qhr9r1n53EV4yDuttBtmUtwf3Oah2OKq3Fgsu1tNVh1GK2La+65o65pf2eZPlSkFUcnNlHeLOImzyDXpyjLr3PoqI6Q2R4RYMRsTeCDppqOy6aTfkjQlekNFoKcdQu4ZpXeKco/Q1CshNhkmTts9tvmjJCyEyTD+2ZA11TEWuazSRWlLV7XUy2hF1TVX30Nq/1ryoJweS37RKjOvXBlINRjeEmOFcB+czMusXgdTVzfZKVtuz2+8c1ri1br+7CEExcUMyXXOnu0/XVOxVu1RrXFF7lWHUMJuR63ZLXmrJuzlSEJVsBpsTd+60vw8ONR2jH95D3X8f0xssWvi2kP4W0umRzj5XmxofLDbkVUvZkPd4BpSjbhxRRYoUQF1YENjzmiYKQ52qDpL1o4gMF9VQVUiv0i6DNRVRDFU9oNsdX/hCth1I3sX7AiFi9XxjLoavQxtIOYx2ZwIpmwKpDdS23xWEkD/Vfldv7Pw1FwsOq4xRMeHj9h575Q7HzQhZgaU7r+IqwqiTlrxMecqYWvJukhREJZvHZMjWLQK3IATU7Bi9/wj16B6q22038J3Mler0Qa/nk8FNpcopeu/eUjbkfTSAEgprMSZdgL6K/ZOWPAmYdDdL1tAgm2OVQ0iv0i7L6bwo325su8i8qBg1je8TgkHhFq14m3lBfNVuYiAl0g6hjtG2DbkqolREKUER02uaCyEawkn7XVBAwOiz7Xeb/YMSNMf1iI6peLP/iK6t2a92aNa0Be0ywyhNYJDN6Oiaak1/HsnzpSAq2WzGIKNdwmgXYkTNx6jDA/TeA1TRgcFoUSk1QroDSDN/lsud3ZA3urYNeWcDqMo17RBya1MF1GuYRcUkaGJqyUvWlNWOri3JTUPp06u0y6RVJDNznO/T6C5FXr7w/dvWoALnO0gEo06CkM2+IL4OTwZS7Qwp5y2Z8dhs9QMpEUWIlhgzQsxAFDG2rVaK9mJb6faWpBbBFEra33MmqDr983K/n6vS3sdyfCiQaBARwG9U+93FKKrQpYk5o3xC11Y8KneZugGyho9LrxtGGRXItKNjanLd4MWkF3tuoBREJckJrZHBNjLYJkpEzWeo4yP0/kNUnreVUqNtpDdEeiNIIcT1CgFz/+yGvKvvo3feM6nmiwCqTgHUJTlpyaujMEyDgJO1JIwWMytcyEkBxvIZ7Ymmpmm6GO2x1j3z/Z4YSB4D1qSB5Mvw5AypHOcLXMjIzGKo+WvM+7psMZrT8CmKPd3sqsSjtSdbHKugEdEgCkETo168TQFtOvV0WAURpV8UVMla3T6jaELI8aftd3Exc21z2+8uIorhqN6ib+e83X/AQV1xWG3jJVv2oV3YRcIorQKZ9uTakWuHVgGrPJnyRBR1XN/ZWcnzpSAqSZ5FaaQ/RPpDogiqmqMmY/ThHspaGO0Q33wHGWwv+0g3gwjm0cmGPHMtG/J8CBzOx1RNQwiBPMuwKYC6FCcteR0J2NSSl6yhrq3IdYPWkcanAeWrwuoKiYaq7tPTY7R+svIihIzGd4mLgeSZbZZ0pMmJs4FUjBnOd84EUjXGPDtQvEoiihjtafgkohfhk6CVwyqPUuEj1UyKCC+o9hFpw6qToKoNalQbWIldzCfVQGwrqk7DKkHpRUiFnFZaKSIhaqLoRcC1CLmWkPeEaPGhIAZLFAUSsLpEm5MtiSmEOj/FzPepg+NWcbQYZH6Lue+ybj/H54VRikiuHZl25NpjtMfgybQHJYAiBEspHdbte07OLwVRSfIySiHdPtLtEwHqOWbvPvr4AHnzR4h3PwZZ6lu+Snr/HkzGBB+R0c6Vf70owvF8QuUaFNDrpFdiLstJS57ESDeFUMka0kQG2ZzC1JQ+PTasknZe1LydF9UM6BRjlGoDAOe7hFAgkgaSryKlwBiH1o4o2WmFlDWezFZo7a40YIlRt+12Yheb3NSinSxiVE1m/GtXJil1ElYBhGe+jwiAakOqRTWVoIlegxhEadqwSlAIQSze+ycv1VX7dyyO9+T3J9VYj38vi5+pnH6+x1VbZyux5Jk/+6fb76IIGk+mm7Wq4lpVXjIO6y0G2YyP9e9xUO1QxwIfDT4agti1aNtTKmJMiRVNIYFePiEzDr0Io04C1CCaKqbgaZOkICpJLqroEd76cdTkAPPDv8aMD4hv/xgy2k3b9q7AMjbkTcppOwsqRoo8VTtcFn+yJS8IQ9JJarKeBvmUTNV4MaQT5tWjlGBNifN9at0jtzWN7xGCQaeB5CtPKTDKoVUbSHlf4MPg0gOpdtC4bQdoxwyJZ6uePEZ5lP5o1dNVOwmGlAqcJ6zSZGjCov3v5O3q8fu0tVUgIOrk9+qph64n4wx15kWi07erJ4MrhSwGtbdJr1E12RWHhZtI0EzckFzX3OoeEqImiMFFu/hvRpBFMBUNXiw+mhXYuidtxZNxi8onjyai0WiJ5KpBFNQxS7OfNlgKopLkVSiFjG7heyPM/ofob/9P5K0fId59B1JwcWnUfHLtG/JmdUlZ1zTB0c3Sv+Vl2veaOioK0pa8ZD3lulkMT/XMw9W3CCevxmiPmArXdJCYIQJWlWgdSOHhenhRINVu2bt46BFFL1ruMmK07aBxAQhtq6Zxa1HJczasyqxC4qvN05LTb3URWMlpIyCn4dXZ34taRFBq8VEBq92Z9rvkqjSxoKkLQDDKk2tPbhx92lY3EYjoNqCKFi8GH7O2ekpOQipDlKsKfQSrPYV25KZtudOLgeNGxbbGLmrKUNDUW2g3pNOZpMrUDZeCqCR5HTYjvPGjqNkx5ofvYo4OkI/9GHH7TqqOel11iXn4HnE+I/S2rmVDXu0apuWcuavp5kV61fwSTYNiGjUxhtSSl6wpYZjPKEyV1kivAaPrtr0pkgaSr7HXCaROqp5OwieJ5rTqSeHRuh2QvKlP9Y+/78dtecmqUwTJKEP2VMGcoIlkxtExFVpHlLTZoojCx+y0isqfBlXmcTXVhSt8BasCmXEUi8onTftnq9rAPyI0IaeWx+fvbfv0DOf7VFUKozZdCqKS5BJIfwvf6aMP7qP/+n+h3/g48c0fgSKt9H4l3mEe/BCZzQnFAK6hMinEwLicUbmGjs3Qm3pmegW8wF7Q1EEYpR9rsqb6tiTXDQpFlHT6tOraC55y2YeRXJInAymL950zgVSN0c1iHpg6rXgKMXtc9SQRrRqs8enCN7mBFBFDHQz1R/6mDVwLU6MXA+9hEcdGg5eTyil7Wjnl4+PfnwRURgVy3VYOFifBk/ZYvdgaKQoXLXN58SZZrWIKoxIgBVFJcnmMJd75OFJOMB/+EHN0QPzYjyO7d0Cn/udziwFz/wcwm+JNfi1hXhThaD6lcjVaK0zajnep9hYteR0CJgVRyRoyKtDP5uSmpvTpBYYkWZY2kPJoNT0TSPWxpkApIUa7aLcDJR6t/UZXPSWJYGiioXkq61FErPLkpqajI2jQohDkdNbUyRyqPM8IuiLTDqsDi77NNnh6hW1+KYxKIAVRyWvyItj07P4E6Q7xb/XQhw/Q3/lz5O7byFs/gnQHyz601SeCfvg+zKaEqGE4vJYvOylnVE1NiJFumvF1qSZBMYsaQqCb8r1kTQ3zKZlucNGS+leSZPlOAimjp4Ro2/XwStDKtXOL0kVtkryQoHGS4/zTreaP51AVxqGYo21OI4EQzWJb7Os/D6YwKklBVPJKXBQeOpgEuJMJt7J0Yv4EbYi33kbqOfrBB+jxAfHtH0duvQmp2ua59MF91OSY4Hy7hfAazOuKsqlovEsh1CXzAvthsSUvzYVK1lRhagrdYLWn9GlAeZKsGqM9Rr/awO4kSZ720TlUubI0/vLvYymM2mzp0iC5EBHhwAnfq2CvgUc1/MUUypCGgD6LFD3CW3+DqCz6u3+BefcvULPxsg9rJanjfdTRHrGqkOEO11F10HjHpJxRNjVFlqXh5JdszxvqoOgQU0tespYUwjCbUZiayqegOkmSJEku00kYFaOmqoZESfHEpkj/0sm5lUH4QQ33Gxg7sCjeyhVRFH85gyApjHomrYk7b+DvfBzZf4j+qz9F3/sBeLfsI1sZajZG791DZiVxsAPq6h+aQowcz6dUriE3GSbN8bpU46CYRYVIoJOeaZI11c/mZLoh0s7ZSJIkSZLkcqUwajOlf+XkpYII95s2hDpsoPawYzU9ozBK8WYOB07x/bSc5sXyblsdZbuo7/0V5rt/jpocLvuolq8uMY/eR+ZzQn8LzNV3DIsIx/MJlWu37FibLjAvkxM4CIbaC4NUCZWsKas8PTsnNw1NSNVQSZIkSXJVPhJGxRRT3HTpXzh5oWPftuE9amDmoacV25lGn7m4LLTiTgbfL2HfpaqoF1KKuH0b/8aPIsfH6L/6M/QH74Jrln1ky+Ed5v4PiNMZoTOA7OmBiVdjUs0pmxofPMU1fc1NIXLSkgddlVryknUlDPPpIoTKSAPKkyRJkuRqPRFG1SmMuunSsPLkmeooPGhgFmHmoFCKHaOeu/52ZBWzCH8xFf7vW0JHp5P2F8pywhs/gpoeYX7415iTYeajXTZmx3AImPs/gPmcYDtQXM9K9LKpmNdpOPlVGUfFPCpILXnJGuuYmlw3aCKNpMeJJEmSJLkOTwwwr4fk+dMtNy8venj5ldQzPsczPkipiCJuzKXZdUtBVPKEKMK+gwMP89BWN2wZhT1HsHQ3g/drxbemwv9tKJh0r30xpZDhDr47wBx8iP72/0TefIf4xjuQd5Z9dFdLBPPoPZhNCGKgP7iWL+uCZ1LOKZuKwqbh5JfNCRwuWvK2UrdjsqYUkWE+o2Nrqo+stU6SJEmS5Co9GUb1UecIn66C0u3SEqUjSkW0iigV2oAqhVSvLQVRN8B4PGZazXHeoZRqfwFKKfTpn9Xp3z3PNAgPmzaAqiL0lKJrz3/vaudFCe/Xiu+Xwk+kLdfnYzPC3R9FzY4x738Pc3SAfPzHiVu3Qd/MkhK9fw8mY4ILyGjrWr5mO5x8QuUqMmsxJiUll0kEHnlDFYSeiqnvO1lbg2xGpht81GlAeZIkSZIsgVaR3E44KVWSy2iRl4t9DkEjogneIGIBDeoknHo6pHocUGkV2iNOIdULpSDqBphOp9w72sMvgiitNEopjD65szwOok6DqTMBVRA4Wmy4KiNYNH2jMVrRxCeDLF4SarXzooTvl7CdCbeydA88L+lv4TsD9OH9dnbUmx8nvvkj0LlZiZ462kMd7xOrCtm6xXXMXhERxmW7IU+hyK5hIPqmGUdFGRVaAkVKoZI1lWlH11bk2jP319MunCRJkiTJR7WXmm011KVURV34kiN85C0iCpE2oBLOhlT5M0OqswGVUmFRVZVmKkMKom6Et99+m8O/fA+vFTEKQiRGoQkOEUGhEBHa/3HaFisCc1GMg6aJQoxCTwtBwVgpNAqURumT3z87kDLGYk2GNRnG2DQv6nUYQ7z9MaSaYO69hzk+IH7sx5Hdu6DX/5V5NTtG799HZnPi8BbXtS9hWpdUTYP3gW6R5r1ctmaxJa8JkVEKoZK1JQyzKYVpqEK27INJkiRJkmTFKCUoFXg6pBIBaEOqKAZBE73GSwbK0NZ0PQ6ptH5WQLVZIVUKom4IrRRGG8w5LwLrCHvBUEWFR+jbeDpYWEQWwVVEooAIIYZFLC2IRNo7Wly8fwSlyWx++mtHW+4Hy19ONf/XNC/qwqQzxL/VQx89QH/nz5G7byNv/SjSvZ5ZSleimmMevk+czwmDbbim1riqqZlVJVVTpxDqCpy05NVB6CGpJS9ZWz1bkZsGhRAlnR4lSZIkSXI+J9VbSgX0M0Kqkza/uKimatv/LYgGFduxOrqdUymSEcPND6TSmdaGCQKHQTMOmjoIRgLb5slKxcdtd/rcBSshBkJwzMsJgqC1oaNz7pUZRcj4iUFOZi1apcvUc9OGuPs2Us/RD+6hx4fEt34Muf0mrFtrmWswD37YhlDdIdjrGQDsgmdczqhcTZHlaTj5FTiOiioqdAzk61+0l2worQL9bE6hG8pww5dFJEmSJElybZRqAyZU/MjkybMh1cmvEPRJH9ONtmZXs8nrmAbFftDUURFCpK+F7JJyobYay8CimyEEjw+OIjR8ex98qbjTzSmynNxm5DYjMzYFA+cgRY/w9o+jj/bQ734LjveJb76DDHdO4vfVFgLmwQ9hPiXYzrVtBIwSOZ63c6GsMZjzlgsm59bExZa8ENlOIVSyxobZjFzVeLFcx9y6JEmSJEmSsyHVCUO1EdfIKYjaAE5gzxvmUVEHoSAwvOKLRmMsxlgKIHjFe8FjqxpblQDkNqOTZRRZQW4tuc2w2mzEne6VKE3cuUscjDB799HjQ+SNjxHvvA2d/rKP7vlixDx8D2Zjgli4ptZCEeF4PqNqGkSEzKR5L5dNBB6FtiWvfzm7TJJkKXLdUJiaTAfmIQ0oT5IkSZIkuWopiLrBosBx0BzFtg1PSWCkwFzzFeMtI9yXnEdkfLIbUAiNa5hWcyblDKUUuc0ospzOmWDK3IDh3Jcu6xDe+jHUfIx5//uYg0fEt34E2X0D7OqFLXr/HkyOCE6Q0da1fd1Z3c6EcsHRK1KbzVU4ijq15CU3gDDMp3RMTRWup2U4SZIkSZJk06Ug6oYqo2LPtxeKLkb6CPmSOpOMgjs2cN8b7jnNx/NIJy/o0A6ODiHQeM94PmPMFKU1HZvTyXLyk1Y+Y9E6tVadkN4I3xmgjx6h3/1L2H/YBlKjXViRn5M6eoQ6PiDWDbJ169q+bu0aplVJ6Sp619QGuGmaCEdB04TIVgqhkjXWtyW5diDw0ckNSZIkSZIkyVVIQdQN4wUOgmayGEaePWMY+TLkCnZM5MNaMzTClnk8gM0YQ9cYuotgygdP7RzzpkYQMm0o8pyOfTxjKs2XArQm7r5B9LuY/Xvob/9Zu13vjY8vfbuemh6j9x8Q53Pi6Dbnnnr/mnwIHJdTKlfTsUW6jVwBEXgYHm/JSz/hZF0Z5elnc/I0oDxJkiRJkuRaLT2I+mf/7J/R6XTQWmOM4bd+67eYTqd86Utf4tGjR9y5c4ff+I3fYDBoL6z/8A//kK997WtorfnCF77Apz71KQDeffddfv/3f5+mafj0pz/NF77whY26CBWB46A4DJpmMYx8pIVVms881EIlwndLw0/3PMVzjs0ai11shRMRXPBUTc2sqgBZzJd6cvD5Rs+XshnhjR9BlRP0vffRR3vIG+8Qb78F2RJaTaoZ5tH7xPmMONi5tgqtKMLxfELlGozSaTj5FTkKqSUvuRmG+YxcN7iYBpQnSZIkSZJcp6UHUQD/6l/9K0aj0emfv/KVr/AzP/Mz/NIv/RJf+cpX+MpXvsI//If/kPfff59vfOMb/PZv/zaHh4f85m/+Jv/hP/wHtNb8wR/8Ab/2a7/GJz/5Sf7tv/23/Omf/imf/vSnl/hdXZ+5C3zgNfOgqL3QUVc/jPxV7erIfW/4XmX4ZDe8dF7VyfyofDH/SESovWNSlYwX86WKJ+ZLZYv5UpsXQkh3SHi7jz4+QH//rzCHj5C3foS4dfv62vVcjXnwHnE2J3RH1zq3alK2G/IkRoq8uLavu0nq2M6GatKWvGTNFbqioMboQOPTgPIkSZIkSZLrtJJX69/85jf53Oc+B8DnPvc5vvnNb56+/ed//ufJsoy7d+/y5ptv8p3vfIfDw0PKsuQnf/InUUrxC7/wC6cfc9OFKHzvsGbsIfjAlol0V/JftXUyL+o4KO65ix+oUopOljPq9tjqDegXHWIUxvMpD473+ODwIfcOH7E3PmRSzqhdQxR5+Se+KZQmbt/Gv/njxHmJ+vb/Qn//L1Gz8dV/7eAx938Isxkh68E1zmea1SVlXdMER7GMKrANEBdb8qq0JS9Zc4rIIJtSmJrKp8eLJEmSJEmS67YSFVH/5t/8GwD+zt/5O3z+85/n+PiYnZ0dAHZ2dhiP24vog4MDPvnJT55+3O7uLgcHBxhjuHXr8TDkW7ducXBwcI3fwfIYrfiRrYL3JGDWpELhRfOiLspoQ7d4PF/KBU/tGuZNBUBmLJ0sp5MX5CYjzzakjc9Y4t2PI/UM/fA++ugAeeNjxDsfg6uoFooR8+A9mE0JykC3d/lf4zlq1zAt58xdTTdPc6GuylHQlEFhU0tesmY0EaMDRgWMiuTGYZVD0EgaUJ4kSZIkSXLtlh5E/eZv/ia7u7scHx/zr//1v+btt99+7vvKcypbnvf2Z/nqV7/KV7/6VQB+67d+i9u3b1/sgFfQbeD/0Io8v742qNdVANHBeyFjuwedS6riOttgISLUzlG7mnE9Q6Ho5AXdvKCTFxRZRm5z7LokeK9i0IfdO8jxHurhB+hmhv7Y34DdN3iV5NIYw9bW1kf/4v4PEPG4vIve3r2EAz8fHwJTVyIGtgdDrF36Q9qNVEUoUSCB3VxfadinlKIoUpVKcn6KiFZxETS1v87+WamIJqJVwGqPQkAUJT3yl/WHJ8lrUeR5el5KrlK6jSXXId3OrpNXmlu7uwyedc11gyz9FrW72160bm1t8dnPfpbvfOc7bG1tcXh4yM7ODoeHh6fzo27dusX+/v7pxx4cHLC7u/uRt+/v759+3qd9/vOf5/Of//zpn/f29q7i27p2UYS6bpZ9GBcyELjvDX/p5Vzzol5VrtubeYiB+bzkeDIBBKU1HZs/Mfg8sxn6JlbU2B5s5+jDh+gH/z+4dZf45jvIYBsu8P1ubW1xfHz8xNv04UPU/n3ivCZu34Lp7JIP/tmiCIezMfO6BEBZcM5dy9feJFHgA2eYeeipSBOu9usVRb52j2XrTVj9Qd1yWs1kVMDo+PjPOpwGUVpFrPJotXhxSgHSLvMQUTjRlNEiGPLc0jR+qd9VcvOl21ly1dJtLLkO6XZ2vaKP7B8cUN2A65oXFRktNYiqqgoRodvtUlUVf/Znf8Y/+Af/gM985jN8/etf55d+6Zf4+te/zmc/+1kAPvOZz/C7v/u7/P2///c5PDzk3r17fOITn0BrTbfb5dvf/jaf/OQn+eM//mP+7t/9u8v81pJzOJkXdd8b7jnNx/N4tV/vqTY+Hzy1c2fa+AydrKDICoqTbXzmBrXxGUu8/TaxKTH799HjQ+Tu28S7H4fi1Yb1qukR6uABcV62Q9Gv8YJ2Us6ompoQI900nPzKHC625BkJZCs8fy45LyHTntw0FNphtQekbVMThcDiv4tf8qz/8py/4yMfd77HBFlUMD0ZMJ38XqvYhk06YlXA6NCmSydJkwIRTYwaF3IC+pxfN0mSJEmSJFmGpQZRx8fH/Lt/9+8ACCHwt/7W3+JTn/oUP/ETP8GXvvQlvva1r3H79m2++MUvAvDOO+/wcz/3c3zxi19Ea82v/MqvoBfbwH71V3+VL3/5yzRNw6c+9amN2Zi37i5zXtRFWWOxpr0LiAiNd8zqkmk5BwVFllPYnE6ek9mMwmYYfQPa+PIu4c0fQ83GmPe/jzncI771o8juXTDnf0hQ5Qzz6IM2hBrsgLq+lGJeV5RNReNdCqGuUBXhOGhc2pK31rQK5NpRmIbcODTtn40Oi7//6IsAgjoT5Tz9uKyI0oZNEX0aQkU0LIIqzoZZzwmygNOwSZ2GUQGj26qm9n0FDYRFUOajoQ4ZK7prJUmSJEmSJDkHJRcZsHQDffjhh8s+hEvx//3//B+oj1wsrAcR2IuaIIqf6nmKFbi+CDFQO4cPgafb+PIsp7gpbXwxoI8eossp7C7a9Ua7z23XO23Na2rMh+8i0wmhM7zWDXmNdxxOx8ybiiK7IeHgCjppyZt66KtIdk039dSadxmEXDvyRfBklcdqT7aYjyQCTcwJ8iqvRbUxkiailKBU+3sNaB3bgEkEpQUloBZtcnLyf+qkVulx9RWLmU0RTRCNj+bKh4inNoPkOqTbWXLV0m0suQ7pdna9oq/4yZ/7f9EfDpd9KK9tZVvzkgTazGNXR+57w/cqc6Xzos7LaEOveHwh9LiNr0YQcmPoZB26eUGeZRQ2x+gVSNAuShvi7ltEV2P277Xtem98jHj3Y9DpP/tjgsc8+AHMZ4Ssd60hVIiR4/mUyjXkJoVQV+mkJS8jXFsIlbw6ozy5WVQ9aXdaBaVVQFAEMZS+w+u3rLXtdm31E08WS50trLriWWJJkiRJkiTJ+kpBVLISrnte1EU9u41vzricYoyhY3O6edG282U5Vq/ZbKmsaNv15mPMBz9o2/Xe/BHk1htgz2xjjBHz4Icwm+JVDt3nhFVXQEQ4nk+oXINSYG0Koa5KGRXHQeNTS97KUkRy404rn8wieDLKoxREUTQhJ3J9QXGSJEmSJEmSnEcKopKVscx5URehlDoNnKCtlqpcsxh6ruhkGZ28aLfx2XytWvikN8J3BujxHvp7fwkHD4lvvYOMbrWlaw/eg+mYEIBrLhedVHPKpsYHT69IF9dXxQvseU0VhIFezfvgZhKs8hSmDZ4y7dvwyTSLdjtFiIYydkmDupMkSZIkSZJVloKoZKUMlFBp4d3SrMy8qJexxjJYVEtFidSN42g2PW3h6+adxTa+jHwdWvi0Jm7fJQ52MAf30d/+X8jdt6E3QEJNrB2ydetaD6lsKuZ1Gk5+lURgEhUHQVNHRZ5a8pZOE0/nPBWmQRPIjMOotu8tRk3l8yufp5QkSZIkSZIklykFUclKOTsv6vuV4RMrMC/qIrTSdIuCLsVpC9+kmnM8b1v4uragk+enFVXZBbbUXTubEe6+g6qm6HvvozodwnCLONrluiouRITKNUzKOWVTUdhsvVoe10QdYS8YqqiovdBRge6K56U3k5Bpv5jz1GD//+3df4xcVf3/8dc5587sTostbalFoMZQFAEhUOsvIiARjDGKmBAS/STQQjSIhESiQEwDmIhBk1rQ0ICiJELiHxJITIwhQQkoiJZfIZQf0gIJ/YLUdvu7OzP3nvP+/nHvzG5/bNttd2d/PR9JmdmZ2eHO9PS089r3+327VU+5nJUjmIoU1DaqngAAADB1TeJPwZipgpOOy6Len6Tzog7XgVv4WtrdGpSc1F+rq7/eX7Xw1VSfpCGL9R+jeMIsucFdZYteszXu/88iRg3mLTWrVrxm3lYtyxQClR9jKVk5lHxHKlvxQoqaGyQyqN5xSuoL7TJ8CrmComqhLe/KfS9ZULPok/G7AgAAgGmCIAqTUt8UmRc1GsNb+GKKaueFtu/eoa2S6iFTo943eVv4nJfNmiOXZZLGJ4gyM7Xytgbzllp5rjzmKmLsBnqT6v2YBnYnpy1F2YaXx6TZzlQn5+uZms/VyJrqDy0FV1ZBlbGUlMeaovHXMwAAAKYn/qWLSWsqzos6XMEHNfrC/i18g7sVvK9a+MqB5/VabXK38B2l/aufckmmWggMJR8HuUkDhdeu5NVKprpFzSOA6gmnpEbWUiNrKnOF6qEl75JSCtpT0G4HAACAmWH6frrFlDfV50Udrn1b+PJhLXzOSX1VC1+jVld9ErfwjcbBq58yBU8yMtbMpO3JaVsMakXJLGqOpDCNAt7JyVSvqp/6QlvB56r7QjKplWpKVD4BAABghuFfwJjUpsu8qNGohaxbARVTVOsALXx9tbrqoaZaVj52qgRTRYxq5i0NtlvV9fLU8xnVT+OqWQ0jbyWnVkxqyNRPADWuvItqhJb6q+qnvtCWc0nRggaLflH9BAAAgJmKIAqT3nScF3W4gg+a1RekqoWvlefa2RzUjsE9crIykMrq1WWmelZT5sOkCqbMTK0i12C7SfVTj8XOMPLo1YqmYFHHBiKQ8WPqC201Qkv10FLN56q5QklO7VhXEmsdAAAAIIjClDCd50UdLuec+ut19ats4Yspql3k2tXcrZ2Du+ScUz2rlW1+WaeNL1M2QfOlYooabA9VP7XytiRToPqpJ3ZFpy3Rq5mcUkya7U21GfjnpheCi93B453ZT05SYUF7IrOfAAAAgOEIojAlzJR5UaMRfFBj2GnOOmfi27Fnt6ROMFVXf70MpmpZpnqoKQvjV5UxVP3UUitv71X9VKf6qSfaJm0uggaTUyua+hXV4G0fB6b+0FIja6nm26r5XJkvZObUinUZ1U8AAADAARFEYcqYifOiRmP4mfikch5Tu8i1ffcumZK8D+qv2vj6sppq1eDz4I++TGa/6qeiLTNmP/VSMml79NqWyjY8Z1FznGZ8YDvWgivUyJpqZC2FzuwnSXkMGixmTfThAQAAAJMeQRSmlJk8L2q0shD2qn4qYqFWnmswb8pMynxQX1ZXX62meq2ueshUG0UwZWZqF7n2VNVP7SJXtCgnp3rIFMax8gp7G0xOm4uyDS9PSbNkM7J9dbw4mfpCS42sqZrPVfdtZT4pmVOz6JOJNxsAAAA4XARRmHKGz4ta3J80LySqPg5DFobmRZmZ8hTVylva3W5KsjKYqtr4+qpqqVqWybu9P2R3qp+aeUt5sXf1UyPrm1SD0qe7wqSB6LWzGkZeV9SxnolEYyXzuRqhqf6srcyVAZSclMdMe4rGRB8eAAAAMCURRGHKcU5a4JO2J6+3m15bM6eFtaQ53uT5BH5YnCurlurDg6lYqNlua09zUCapFjL11zpn5Ksp+KD2zkJbd2xXOxYqYlFWP2VUP/WambQjOW2NXu3kFGO5/glkj55TUn9WVT9Vg8e9kqJ5DTJ4HAAAADhqBFGYknzVoneMSQOF184iaH7dtDArzw6G0emcca+e1SQNtd3tbjW1szkoyVQLNTX6+zXYbirzQY061U8ToZWkzTGomZxahanfRX2AHPCoOCXVfKH+rKX+UM5+qoe2JKkd64rGX5UAAADAWOFf15jSak5alKVyRk7LaXsRtLBmOi5E1RnbcsScc+VQ81pdUieYKtRXq8kZQd9ESCZtjV47klczmkKKmhvEdKIj4JVUC7nqPq/OdhcVXFTN5/IuKaagwYLqJwAAAGA8EERhWmh40wnOtDM5vdty2hYyfbDG/KixUgZTNVrwJsju5LSlGkZexKRjvKnGb8Vh8y52Q6d6KBRcoeCS6qElJ5NJshTUijWZeGMBAACA8UQQhWnDOWlOMM020/bo9XZkfhSmttykLYXX7uTVSqY+ow3vcARXlMFTKC+9i8p8oZrPuzVO0Xx1xjveUAAAAKCXCKIw7QQnzc+ScuZHYRIyk5IkU3VpUpIrvx52X2FOO5NXK0pmUXMkBfrwDsCUuaIbOtVDLq+kzOeq+SjJZHJV8NQvo5kRAAAAmFAEUZi2mB+Fo2UmRR08MCq/dkPBUvf+occO3edk1dfqfL8Nex5JlsrLJClTUkOmftbrMKaa71Q85ar5Ql5RNV8o80X5CJOiZdpT9Is5TwAAAMDkQhCFaY/5URiNdpIGzWkwOTXNK9qhAyMzVbFT2SIqGx5/lDU4pmGPkcnJdWtzvOvcVg4f9668ZH2W70utCp3qVXtdp9Uuc1FS+f7nKdMeBowDAAAAkx5BFGYE5kdhJIVJzeS64VNuTm2TYjIFS93QyOkAgVF125G1zNEmeiBOSX2h1a16ynyh4KIynyu4qM7vQDtmaltdBE8AAADA1EIQhRmF+VFIJjWr0GnQnNrJqTCpnUxeJm9JDSfV/d5VTThS1fvqkrxLcm7o+vDbfXV7X90r5m3VQ1ud9z2ZV54ytax/Yl8KAAAAgKNGEIUZiflRM4eZ1LZOu51X05yiSa0kKZmCi6pJOtbRCnd4bL8QqRsuaShQ6lyW9Uvl13KmoKTgorxPVc5U9jKac3IyZT5T05maRZ0z2gEAAADTEEEUZjTmR01PhUl7kutWPhWddrtYBiGZpA84U42cYz/eRfWFtoJL3QBpeNXS8GCpDKCiglIZLMkkKydidTImJ8lS+V0mKZpXO9YUY6e5cW91l6mdil6+ZAAAAAA9RBCFGY/5UVNfHN5uV815yqt2u6By1lPDSX0ETwdUzmVqq5E1VfN594x0ksnMy40QLJVFZV6tVFMaIVgCAAAAgOEIooAK86OmDjOpZdJg8ho0p5Y5Fak8453MFBRVd9IHPKOsR2aq+1z9WVP9oa3gCtV9W3JORcy0O58l3j0AAAAAY40gCtgH86Mmp7zTblcNGY/m1I5SsrI2p+6kuTIFqp4OKnNFN3zKXKF6aMk7U0xBg7EhwicAAAAA44kgChgB86PGnplUTRJSqq4nuWHXpWRun8eUbXa5lWe3y5PJmymTqeGMdrvD4F1Uf2irP2uW4ZNvK/gomVMzMhQcAAAAQO8QRAEHMdL8qPmZKXOmmpMyZ8qkaT9LKlk5BLxtnUCpMyNo/0CpDJGcovYJnawcWC2VX2t4AFWdRC1KcmZy5cnU5CQ5V8556qPd7rA5mfpCS/1ZS3XfVuYL1XwumVOeMrWLvok+RAAAAAAzEEEUcBj2nR+1q/AKvvwDVPNlCFVzpmz4pcqwKnNSNsmTEzOpUDn0uzCnQuVlNClXeRnNqSanVjuTWRUwqQyQOmFSGRyVIZJZJzCyYSOsO2ddc93bgjPVJAWV72NwBE1HrjP3qaW+butdWzJTtEyDBa13AAAAACYWQRQwCp35UWZl5U7bpCI6teW0RyYzp+ScJFcGUL4MVjoBVRlOqafVVJ1jjSYVKtvbiqrNreiETJ1qpuqxRerMXpK8M7kqYDIXFYskXx1zVoVMXuXr9Ic9Q4vh72MpuEKNrKX+0CqHjodc3kUl82oWfXtFgQAAAAAwkQiigCPgXPmHp6x0Mg0FK+VlMimXlMeyuqhlkrmyfc3k5JxU01BQdTTVVGW10j4hk4YqmorhM5isDJmiJK+hgKlTtRQk1Z1ptqTsAGOD+mpSKxEiTQZOSf1ZS43QUubzcu6TizI5tWNdSbTeAQAAAJh8CKKAceCd1CepL+wb2pRfd2YtFdGpKac9ZmXTmiuDqm41lcrL4dVUSWWbXCdsOlDIpGEhU+dXkFPNmfpVthPSoDUVmfpCW43QUj20FXyuPp/LJOUxUzvNmugDBAAAAICDIogCJsBQpdP+1VRmUlvDqqkKKbmh6UpB1h3g7WwoZArO1Fc994Fb/ahkmqpqPld/NXg8VHOfvKTCvPYw9wkAAADAFEIQBUwy7hDVVAdGyDSdOJm8i+oPbfVnze7Q8aCkJK9WUZfpAL2TAAAAADDJEUQBQM+YvEvyLinsczn8ulOSlynzhTJXyOTUSjW1jC0bAAAAwNTGpxpMAXt/eHey8tKZonnFFJTMK5rn7GCYME4HDpXKyyjvbChkcmXFU3BRwafuM1TNmeV/zSvGoD2J1jsAAAAA0wdBFCbIPpUh3Q/naZ9fJleda67z4d07U3BR3iWZnGLKVFhQMqdoQdGCUgplSGW+/Lq6nsyLD/UYDbfXWo3DQqS9Q6ehNV3en7kop3IIvVMZLzmZzFTWO5lXnjI1Y5AIUAEAAADMEARRGDNOJneE4VKoLt2wWUcmJ7lyMHeyMjxKKahIXm2rVR/wkzJfqOZy+VA+t0ly1nkOKaZQBVVlINW53g2q0vCgqjMKHDNLGW5mPu532WmTc1UA2glBh75zSDJfrblMg5YxxwkAAAAA9kEQNQ1kzf+nBf1b92nsOYCDzrMeOXw51BjskcOlzryb4eHS0P/KrDwLnCWvPHklq426tc4UlKegXJLigV5V2RZVhlVFGSC4zn3lM0Qrg6poQZa8ooLigSqqUnmd9r+pq1OpVLbEDQVOoWqZCz5210lZweRkziRzVVjp1Ip1JVFZBwAAAABHgiBqGjBf0wdqO+WVDvLZ+FBx0pF/qDbTCOFSULL6hAY3pipMirURHxGUFHyhui+rqpxLkrnuO2JyKlInkApV+1/Z5jf8Vzmjyu11H2FF75WzmqqQqVPZVM1i6sxxCr5QzcVu45zJqnY5p3asKxI0AQAAAMC4IIiaBmL9g2WVhtEGNHquWwGlNPIjMle2AHqflxVerlMvUzKpCqPKWVWpc6kwLKxye4VW3dtEaDV61q1kKquaCmW+M8Mpduc5dVrrVLV5WnIyeRUpaLfVxXsOAAAAAL1FEAUcgikot6B8xKqq8lG+au0Krmzvcr6cK9QpRuuMrDapO48qWjm0et/QKg4LrdKMC62smsnUafm07tnlysqmottK531SzeUK1eB6J8mclWecS17Nos6cJgAAAACYRAiigDFRBUmdeVXSAWdWlZKCknw1j8i5MrBy3vbqoOycaW2oFTDIzClZWdWTqlZAs2o617D79r5t/8eVA9nHN8zqDq+vBn135oUNnylWzhMbuu6q4MkpVdc1dKZEH1WNayr7Qc0pqjrznGXj/noAAAAAAEePIAroOa8or5iyodBqRMNDq7wKrZKckzqjufZvEixvSebKyqBOMFVVUnUDKfnqMcOu7xVY7X9bzUsKre4ZEfcNmJwrq5nKs8pZd3i9XFUx1nlMdb+smh/mTGZVlOTKnGn48cbk1Yo1iUHxAAAAADClEUQBk9poQqvhOlVGZWAUlJSFKGedyiuT89WgeY1US+Sq1sGqTVBetSxT7AZR1RkRq1TMSUrOdZ/UOSmZk8x1Z2iVA+x9NcCeCiYAAAAAmGkIooBpycnUOcOfyhCrM4x9xJbB4axTMyVfnW0uc1HBSYVJeaqparoTgRIAAAAA4HARRAE4gLIlr6zGGrq1HjLlqZi4wwIAAAAATGnTKoh68cUXdf/99yulpC9+8Yu69NJLJ/qQAAAAAAAAUJk2k39TSvrtb3+rH/3oR1q9erWeeuopbdy4caIPCwAAAAAAAJVpE0StX79exx9/vBYtWqQsy3Tuuedq7dq1E31YAAAAAAAAqEybIGpgYEALFizofr1gwQINDAxM4BEBAAAAAABguGkzI8o656Efxrn9z+b12GOP6bHHHpMk3XHHHTrhhBPG/dh64YT/++5EHwIAAAAAAMBBTZuKqAULFmjLli3dr7ds2aJ58+bt97iLLrpId9xxh+64445eHt64u/nmmyf6EDADsM4w3lhj6AXWGXqBdYbxxhpDL7DOMB6mTRC1ZMkSvffee9q0aZOKotDTTz+tZcuWTfRhAQAAAAAAoDJtWvNCCLrqqqt0++23K6WkCy+8UIsXL57owwIAAAAAAEBl2gRRkrR06VItXbp0og9jQlx00UUTfQiYAVhnGG+sMfQC6wy9wDrDeGONoRdYZxgPzg405RsAAAAAAAAYY9NmRhQAAAAAAAAmt2nVmjedrFmzRs8//7zmzp2rVatWSZLefvtt/eY3v1Gz2dTChQt1/fXXa9asWSqKQvfcc4/eeustpZR0/vnn6xvf+IYk6c0339Tdd9+tdrutc845RytWrJBzbiJfGiaRsVpnt912m7Zu3ap6vS5JWrlypebOnTthrwuTy2jX2a9//Wtt2LBB3nstX75cZ5xxhiT2M4xsrNYYexkOZvPmzbr77ru1bds2Oed00UUX6Stf+Yp27dql1atX63//+58WLlyo73//+zrmmGMkSY888oj+9re/yXuvFStW6Oyzz5bEfoYDG8s1xn6GkYx2ne3cuVO/+MUvtH79en3hC1/Q1Vdf3X0u9jIcMcOktG7dOtuwYYPdcMMN3dtuvvlmW7dunZmZ/fWvf7U//OEPZmb297//3VavXm1mZs1m06699lp7//33u9/z+uuvW0rJbr/9dnv++ed7+0IwqY3VOrv11ltt/fr1vT14TBmjWWd/+ctf7O677zYzs23bttmNN95oMcbu97Cf4UDGao2xl+FgBgYGbMOGDWZmtmfPHrv++uvtnXfesQceeMAeeeQRMzN75JFH7IEHHjAzs3feecd+8IMfWLvdtvfff9+uu+469jMc1FiuMfYzjGS062xwcNBeffVVe/TRR+2+++7b67nYy3CkaM2bpE4//fTuTzo63n33XZ122mmSpLPOOkv/+te/uvc1m03FGNVut5VlmWbNmqWtW7dqcHBQH/vYx+Sc0/nnn6+1a9f29HVgchuLdQYcymjW2caNG/WJT3xCkjR37lzNnj1bb775JvsZDmos1hhwKPPmzdPJJ58sSWo0GjrxxBM1MDCgtWvX6oILLpAkXXDBBd29ae3atTr33HNVq9X0wQ9+UMcff7zWr1/PfoYRjdUaAw5mtOusv79fH//4x7vVdR3sZTgaBFFTyOLFi/Xss89Kkp555hlt2bJFkvTZz35W/f39+s53vqNrr71WX/va13TMMcdoYGBACxYs6H7/ggULNDAwMCHHjqljtOusY82aNfrhD3+ohx56SMY5EHAII62zj3zkI3r22WcVY9SmTZv05ptvavPmzexnGLXRrrEO9jIcjk2bNumtt97SKaecou3bt2vevHmSyg94O3bskKT99q358+drYGCA/QyH5WjWWAf7GQ7lcNbZSNjLcDSYETWFfPe739X999+vhx56SMuWLVOWlb9969evl/de9957r3bv3q1bbrlFZ555Jn/h4IiMdp0tWrRI119/vebPn6/BwUGtWrVKTz75ZPcnKsCBjLTOLrzwQm3cuFE333yzFi5cqFNPPVUhBPYzjNpo15gk9jIclmazqVWrVmn58uUHrQwead9iP8OhHO0ak9jPcGiHu85Gwl6Go0EQNYWceOKJWrlypaSy5eD555+XJP3jH//Q2WefrSzLNHfuXJ166qnasGGDTjvttO5PgCVpy5Ytmj9//oQcO6aO0a6zRYsWdddVo9HQ5z//ea1fv55/7OCgRlp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| |
| "text/plain": [ | |
| "<Figure size 1440x720 with 1 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "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, | |
| "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", | |
| "\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", | |
| "```\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "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.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 45, | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "Text(0.5, 0, 'Years')" | |
| ] | |
| }, | |
| "execution_count": 45, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": [ | |
| "<Figure size 1440x720 with 1 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "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, | |
| "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.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 46, | |
| "metadata": { | |
| "button": 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": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "### type your answer here\n", | |
| "\n", | |
| "df_least5=df_can.tail(5)\n", | |
| "\n", | |
| "df_least5=df_least5[years].transpose()\n", | |
| "df_least5.head()\n", | |
| "\n", | |
| "df_least5.index=df_least5.index.map(int)\n", | |
| "df_least5.plot(kind='area', alpha=0.45, figsize=(20, 10))\n", | |
| "\n", | |
| "plt.title('Immigration Trend of 5 Countries with Least Contrinution to Immigration')\n", | |
| "plt.ylabel('Number of Immigrants')\n", | |
| "plt.xlabel('Years')\n", | |
| "\n", | |
| "plt.show()\n", | |
| "\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "<details><summary>Click here for a sample python solution</summary>\n", | |
| "\n", | |
| "```python\n", | |
| " #The correct answer is:\n", | |
| " # get the 5 countries with the least contribution\n", | |
| " df_least5 = df_can.tail(5)\n", | |
| " \n", | |
| " # transpose the dataframe\n", | |
| " df_least5 = df_least5[years].transpose() \n", | |
| " df_least5.head()\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", | |
| " plt.title('Immigration Trend of 5 Countries with Least Contribution to Immigration')\n", | |
| " plt.ylabel('Number of Immigrants')\n", | |
| " plt.xlabel('Years')\n", | |
| "\n", | |
| " plt.show()\n", | |
| " \n", | |
| "```\n", | |
| "\n", | |
| "</details>\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "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.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 47, | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "Text(0.5, 0, 'Years')" | |
| ] | |
| }, | |
| "execution_count": 47, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": [ | |
| "<Figure size 1440x720 with 1 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "### type your answer here\n", | |
| "\n", | |
| "df_least5=df_can.tail(5)\n", | |
| "\n", | |
| "df_least5=df_least5[years].transpose()\n", | |
| "df_least5.head()\n", | |
| "\n", | |
| "df_least5.index=df_least5.index.map(int)\n", | |
| "\n", | |
| "ax=df_least5.plot(kind='area', alpha=0.55, stacked=False, figsize=(20, 10))\n", | |
| "\n", | |
| "ax.set_title('Immigration Trend of 5 Countries with Least Contribution to Immigration')\n", | |
| "ax.set_ylabel('Number of Immigrations')\n", | |
| "ax.set_xlabel('Years')\n", | |
| "\n", | |
| "\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "<details><summary>Click here for a sample python solution</summary>\n", | |
| "\n", | |
| "```python\n", | |
| " #The correct answer is:\n", | |
| " \n", | |
| " # get the 5 countries with the least contribution\n", | |
| " df_least5 = df_can.tail(5)\n", | |
| "\n", | |
| " # transpose the dataframe\n", | |
| " df_least5 = df_least5[years].transpose() \n", | |
| " \n", | |
| " df_least5.head()\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", | |
| " ax = df_least5.plot(kind='area', alpha=0.55, stacked=False, figsize=(20, 10))\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", | |
| "\n", | |
| " \n", | |
| "```\n", | |
| "\n", | |
| "</details>\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "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.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "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?\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "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:\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 48, | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "Country\n", | |
| "India 33087\n", | |
| "China 34129\n", | |
| "United Kingdom of Great Britain and Northern Ireland 5827\n", | |
| "Philippines 29544\n", | |
| "Pakistan 12603\n", | |
| "Name: 2013, dtype: int64" | |
| ] | |
| }, | |
| "execution_count": 48, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "# let's quickly view the 2013 data\n", | |
| "df_can['2013'].head()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 49, | |
| "metadata": { | |
| "button": 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, | |
| "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", | |
| "\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://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-DV0101EN-SkillsNetwork/labs/Module%202/images/Mod2Fig1-Histogram.JPG\" align=\"center\" width=800>\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "We can easily graph this distribution by passing `kind=hist` to `plot()`.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 50, | |
| "metadata": { | |
| "button": 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": {}, | |
| "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, | |
| "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:\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 51, | |
| "metadata": { | |
| "button": 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": {}, | |
| "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, | |
| "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](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.plot.html?utm_email=Email&utm_source=Nurture&utm_content=000026UJ&utm_term=10006555&utm_campaign=PLACEHOLDER&utm_id=SkillsNetwork-Courses-IBMDeveloperSkillsNetwork-DV0101EN-SkillsNetwork-20297740).\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "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?\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 53, | |
| "metadata": { | |
| "button": 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>1980</th>\n", | |
| " <th>1981</th>\n", | |
| " <th>1982</th>\n", | |
| " <th>1983</th>\n", | |
| " <th>1984</th>\n", | |
| " <th>1985</th>\n", | |
| " <th>1986</th>\n", | |
| " <th>1987</th>\n", | |
| " <th>1988</th>\n", | |
| " <th>1989</th>\n", | |
| " <th>...</th>\n", | |
| " <th>2004</th>\n", | |
| " <th>2005</th>\n", | |
| " <th>2006</th>\n", | |
| " <th>2007</th>\n", | |
| " <th>2008</th>\n", | |
| " <th>2009</th>\n", | |
| " <th>2010</th>\n", | |
| " <th>2011</th>\n", | |
| " <th>2012</th>\n", | |
| " <th>2013</th>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Country</th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>Denmark</th>\n", | |
| " <td>272</td>\n", | |
| " <td>293</td>\n", | |
| " <td>299</td>\n", | |
| " <td>106</td>\n", | |
| " <td>93</td>\n", | |
| " <td>73</td>\n", | |
| " <td>93</td>\n", | |
| " <td>109</td>\n", | |
| " <td>129</td>\n", | |
| " <td>129</td>\n", | |
| " <td>...</td>\n", | |
| " <td>89</td>\n", | |
| " <td>62</td>\n", | |
| " <td>101</td>\n", | |
| " <td>97</td>\n", | |
| " <td>108</td>\n", | |
| " <td>81</td>\n", | |
| " <td>92</td>\n", | |
| " <td>93</td>\n", | |
| " <td>94</td>\n", | |
| " <td>81</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Norway</th>\n", | |
| " <td>116</td>\n", | |
| " <td>77</td>\n", | |
| " <td>106</td>\n", | |
| " <td>51</td>\n", | |
| " <td>31</td>\n", | |
| " <td>54</td>\n", | |
| " <td>56</td>\n", | |
| " <td>80</td>\n", | |
| " <td>73</td>\n", | |
| " <td>76</td>\n", | |
| " <td>...</td>\n", | |
| " <td>73</td>\n", | |
| " <td>57</td>\n", | |
| " <td>53</td>\n", | |
| " <td>73</td>\n", | |
| " <td>66</td>\n", | |
| " <td>75</td>\n", | |
| " <td>46</td>\n", | |
| " <td>49</td>\n", | |
| " <td>53</td>\n", | |
| " <td>59</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Sweden</th>\n", | |
| " <td>281</td>\n", | |
| " <td>308</td>\n", | |
| " <td>222</td>\n", | |
| " <td>176</td>\n", | |
| " <td>128</td>\n", | |
| " <td>158</td>\n", | |
| " <td>187</td>\n", | |
| " <td>198</td>\n", | |
| " <td>171</td>\n", | |
| " <td>182</td>\n", | |
| " <td>...</td>\n", | |
| " <td>129</td>\n", | |
| " <td>205</td>\n", | |
| " <td>139</td>\n", | |
| " <td>193</td>\n", | |
| " <td>165</td>\n", | |
| " <td>167</td>\n", | |
| " <td>159</td>\n", | |
| " <td>134</td>\n", | |
| " <td>140</td>\n", | |
| " <td>140</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "<p>3 rows × 34 columns</p>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 ... \\\n", | |
| "Country ... \n", | |
| "Denmark 272 293 299 106 93 73 93 109 129 129 ... \n", | |
| "Norway 116 77 106 51 31 54 56 80 73 76 ... \n", | |
| "Sweden 281 308 222 176 128 158 187 198 171 182 ... \n", | |
| "\n", | |
| " 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 \n", | |
| "Country \n", | |
| "Denmark 89 62 101 97 108 81 92 93 94 81 \n", | |
| "Norway 73 57 53 73 66 75 46 49 53 59 \n", | |
| "Sweden 129 205 139 193 165 167 159 134 140 140 \n", | |
| "\n", | |
| "[3 rows x 34 columns]" | |
| ] | |
| }, | |
| "execution_count": 53, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "# let's quickly view the dataset \n", | |
| "df_can.loc[['Denmark', 'Norway', 'Sweden'], years]" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 54, | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "<AxesSubplot:ylabel='Frequency'>" | |
| ] | |
| }, | |
| "execution_count": 54, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| }, | |
| { | |
| "data": { | |
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\n", | |
| "text/plain": [ | |
| "<Figure size 432x288 with 1 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "# generate histogram\n", | |
| "df_can.loc[['Denmark', 'Norway', 'Sweden'], years].plot.hist()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "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" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 55, | |
| "metadata": { | |
| "button": 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>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": 55, | |
| "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": 56, | |
| "metadata": { | |
| "button": 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": {}, | |
| "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, | |
| "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", | |
| "\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\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 57, | |
| "metadata": { | |
| "button": 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": {}, | |
| "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, | |
| "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", | |
| "\n", | |
| "```python\n", | |
| "import matplotlib\n", | |
| "for name, hex in matplotlib.colors.cnames.items():\n", | |
| " print(name, hex)\n", | |
| "```\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "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.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 58, | |
| "metadata": { | |
| "button": 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": {}, | |
| "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, | |
| "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.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 59, | |
| "metadata": { | |
| "button": 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": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "### type your answer here\n", | |
| "\n", | |
| "df_cof=df_can.loc[['Greece', 'Albania', 'Bulgaria'], years]\n", | |
| "\n", | |
| "df_cof=df_cof.transpose()\n", | |
| "count, bin_edges=np.histogram(df_cof, 15)\n", | |
| "df_cof.plot(kind='hist', figsize=(10, 6), bins=15, alpha=0.35, xticks=bin_edges, color=['coral', 'darkslateblue', 'mediumseagreen'])\n", | |
| "\n", | |
| "plt.title('Histogram of Immigration from Greece, Albania, and Bulgaria from 1980-2013')\n", | |
| "plt.ylabel('Number of Years')\n", | |
| "plt.xlabel('Number of Immigrants')\n", | |
| "\n", | |
| "plt.show()\n", | |
| "\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "source": [ | |
| "<details><summary>Click here for a sample python solution</summary>\n", | |
| "\n", | |
| "```python\n", | |
| " #The correct answer is:\n", | |
| " \n", | |
| " # create a dataframe of the countries of interest (cof)\n", | |
| " df_cof = df_can.loc[['Greece', 'Albania', 'Bulgaria'], years]\n", | |
| "\n", | |
| " # transpose the dataframe\n", | |
| " df_cof = df_cof.transpose() \n", | |
| "\n", | |
| " # let's get the x-tick values\n", | |
| " count, bin_edges = np.histogram(df_cof, 15)\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", | |
| " plt.title('Histogram of Immigration from Greece, Albania, and Bulgaria from 1980 - 2013')\n", | |
| " plt.ylabel('Number of Years')\n", | |
| " plt.xlabel('Number of Immigrants')\n", | |
| "\n", | |
| " plt.show()\n", | |
| "\n", | |
| " \n", | |
| "```\n", | |
| "\n", | |
| "</details>\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "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\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "button": false, | |
| "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. \n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 61, | |
| "metadata": { | |
| "button": 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": 61, | |
| "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": 62, | |
| "metadata": { | |
| "button": false, | |
| "new_sheet": false, | |
| "run_control": { | |
| "read_only": false | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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