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{
"cells": [
{
"cell_type": "markdown",
"id": "90041b00-672b-4bd4-a8e8-0cab3f0548af",
"metadata": {},
"source": [
"# Lab 04: Data Science Tools\n",
"\n",
"## 0. Jupyter Notebooks\n",
"\n",
"Welcome to your first Jupyter notebook! Notebooks are made up of cells. Some cells contain text (like this one) and others contain Python code. \n",
"\n",
"Each cell can be in two different modes: editing or running. To edit a cell, double-click on it. When you're done editing, press **shift+Enter** to run it. You can use [Markdown](https://www.markdownguide.org/cheat-sheet/) to add basic formatting to the text. Before you go on, try editing the text in this cell."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "5923b0d7-c0e0-48fa-b765-4aa6002c2d4f",
"metadata": {},
"outputs": [],
"source": [
"# Other cells are code cells, containing Python code. (This is a comment, of course!)\n",
"# Try running this cell (again, shift+Enter). You'll see the result of the final statement \n",
"# printed below the cell. \n",
"# Then try changing the Python code and re-run it.\n",
"\n",
"1+1"
]
},
{
"cell_type": "markdown",
"id": "257ef44f-8f53-4136-9d0d-23a811ec53e9",
"metadata": {},
"source": [
"### 0.1 Cells share state\n",
"\n",
"Even though code cells run one at a time, anything that happens in a cell (like declaring a variable or running a function) affects the whole notebook. Try running these two cells a few times, in different orders. What happens when you run *Cell B* over and over?"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "0e2a2927-f6d1-4b13-97ae-ff97416723e9",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"30"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Cell A\n",
"x = 30\n",
"x"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "69dd7908-b213-4d0f-8016-e46a4a491961",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"60"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Cell B\n",
"x = x * 2\n",
"x"
]
},
{
"cell_type": "markdown",
"id": "adc581ac-db13-40a8-bcfc-bf5d6e5472c5",
"metadata": {},
"source": [
"### 0.2 Saving your work\n",
"\n",
"When you finish working on a notebook, save your work using the icon in the menu bar above. Your notebook is stored in the file `lab_04.ipynb` in the lab directory. You can commit your changes to `ipynb` files just like any other file. Once you finish with Jupyter, you can stop the server by pressing **Control + C** in the Terminal. \n",
"\n",
"*If you're doing this lab on a cloud-based platform like Binder, then you can't save your work. So don't close the tab!*"
]
},
{
"cell_type": "markdown",
"id": "c9c4aec2-949d-4a2e-b736-f5182b1f9ff7",
"metadata": {},
"source": [
"---\n",
"\n",
"## 1. Pandas\n",
"\n",
"Pandas is probably the most important Python library for data science. Pandas provides an object called a **DataFrame**, which is basically a table with rows and columns. Most of the time, you will load data into Pandas using a `.csv` file. CSV files can be exported from Excel or Google Sheets, and are a common format for public data sets. \n",
"\n",
"In this lab, we'll be working with two data sets: The first contains Pokémon characteristics and the second comes from a wide-scale survey conducted by the US Centers for Disease Control ([details](https://www.cdc.gov/brfss/annual_data/annual_2020.html)). We will demonstrate techniques with Pokémon; your job is to replicate these tasks with the CDC dataset. \n",
"\n",
"**Note:** Pandas has *extensive* capabilities, and there's no way we could possibly present them all here. If you have a clearly-formed idea of what you want to do with tabular data, there's a way to do it. This lab introduces *some* of what Pandas can do, but expect to spend time reading the documentation and Stack Overflow when you start working on new tasks. \n",
"\n",
"### 1.0 Getting started\n",
"\n",
"First, we'll import pandas (using the conventional variable name `pd`) and load the two datasets. *Run these cells and every code cell you encounter in this notebook.*"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "ba09a0f8-27d9-456f-aeff-3980e3362d5b",
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "a29d508a-2d9a-4d62-9ff6-7a0ecfd5eba4",
"metadata": {},
"outputs": [],
"source": [
"pokemon = pd.read_csv(\"pokemon.csv\")\n",
"people = pd.read_csv(\"brfss_2020.csv\")"
]
},
{
"cell_type": "markdown",
"id": "d4e0b811-b8bf-4e9a-a934-3aad8f0520bb",
"metadata": {},
"source": [
"### 1.1 A first look\n",
"\n",
"#### Demo\n",
"\n",
"Let's start by learning the *shape* of the data. How many columns are there? How many rows? What kinds of data are included?"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "579d8dda-ca39-48b1-8819-b17651029729",
"metadata": {},
"outputs": [
{
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" <th></th>\n",
" <th>name</th>\n",
" <th>type</th>\n",
" <th>subtype</th>\n",
" <th>total</th>\n",
" <th>hp</th>\n",
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" <th>legendary</th>\n",
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" <td>Bulbasaur</td>\n",
" <td>Grass</td>\n",
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" <td>318</td>\n",
" <td>45</td>\n",
" <td>49</td>\n",
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" <td>Venusaur</td>\n",
" <td>Grass</td>\n",
" <td>Poison</td>\n",
" <td>525</td>\n",
" <td>80</td>\n",
" <td>82</td>\n",
" <td>83</td>\n",
" <td>100</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>VenusaurMega Venusaur</td>\n",
" <td>Grass</td>\n",
" <td>Poison</td>\n",
" <td>625</td>\n",
" <td>80</td>\n",
" <td>100</td>\n",
" <td>123</td>\n",
" <td>122</td>\n",
" <td>120</td>\n",
" <td>80</td>\n",
" <td>1</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Charmander</td>\n",
" <td>Fire</td>\n",
" <td>NaN</td>\n",
" <td>309</td>\n",
" <td>39</td>\n",
" <td>52</td>\n",
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" <td>60</td>\n",
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" <tr>\n",
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" <tr>\n",
" <th>795</th>\n",
" <td>Diancie</td>\n",
" <td>Rock</td>\n",
" <td>Fairy</td>\n",
" <td>600</td>\n",
" <td>50</td>\n",
" <td>100</td>\n",
" <td>150</td>\n",
" <td>100</td>\n",
" <td>150</td>\n",
" <td>50</td>\n",
" <td>6</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>796</th>\n",
" <td>DiancieMega Diancie</td>\n",
" <td>Rock</td>\n",
" <td>Fairy</td>\n",
" <td>700</td>\n",
" <td>50</td>\n",
" <td>160</td>\n",
" <td>110</td>\n",
" <td>160</td>\n",
" <td>110</td>\n",
" <td>110</td>\n",
" <td>6</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>797</th>\n",
" <td>HoopaHoopa Confined</td>\n",
" <td>Psychic</td>\n",
" <td>Ghost</td>\n",
" <td>600</td>\n",
" <td>80</td>\n",
" <td>110</td>\n",
" <td>60</td>\n",
" <td>150</td>\n",
" <td>130</td>\n",
" <td>70</td>\n",
" <td>6</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>798</th>\n",
" <td>HoopaHoopa Unbound</td>\n",
" <td>Psychic</td>\n",
" <td>Dark</td>\n",
" <td>680</td>\n",
" <td>80</td>\n",
" <td>160</td>\n",
" <td>60</td>\n",
" <td>170</td>\n",
" <td>130</td>\n",
" <td>80</td>\n",
" <td>6</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>799</th>\n",
" <td>Volcanion</td>\n",
" <td>Fire</td>\n",
" <td>Water</td>\n",
" <td>600</td>\n",
" <td>80</td>\n",
" <td>110</td>\n",
" <td>120</td>\n",
" <td>130</td>\n",
" <td>90</td>\n",
" <td>70</td>\n",
" <td>6</td>\n",
" <td>True</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>800 rows × 12 columns</p>\n",
"</div>"
],
"text/plain": [
" name type subtype total hp attack defense \\\n",
"0 Bulbasaur Grass Poison 318 45 49 49 \n",
"1 Ivysaur Grass Poison 405 60 62 63 \n",
"2 Venusaur Grass Poison 525 80 82 83 \n",
"3 VenusaurMega Venusaur Grass Poison 625 80 100 123 \n",
"4 Charmander Fire NaN 309 39 52 43 \n",
".. ... ... ... ... .. ... ... \n",
"795 Diancie Rock Fairy 600 50 100 150 \n",
"796 DiancieMega Diancie Rock Fairy 700 50 160 110 \n",
"797 HoopaHoopa Confined Psychic Ghost 600 80 110 60 \n",
"798 HoopaHoopa Unbound Psychic Dark 680 80 160 60 \n",
"799 Volcanion Fire Water 600 80 110 120 \n",
"\n",
" special_attack special_defense speed generation legendary \n",
"0 65 65 45 1 False \n",
"1 80 80 60 1 False \n",
"2 100 100 80 1 False \n",
"3 122 120 80 1 False \n",
"4 60 50 65 1 False \n",
".. ... ... ... ... ... \n",
"795 100 150 50 6 True \n",
"796 160 110 110 6 True \n",
"797 150 130 70 6 True \n",
"798 170 130 80 6 True \n",
"799 130 90 70 6 True \n",
"\n",
"[800 rows x 12 columns]"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pokemon"
]
},
{
"cell_type": "markdown",
"id": "ee8b0718-56f9-4fc8-bd35-fa0ccb445179",
"metadata": {},
"source": [
"OK, 800 Pokémon, with 12 columns for each. And you can see all the columns. Not all the data is shown in this preview, of course. If there were more columns than could be displayed, you could see them all by typing `pokemon.columns`. \n",
"\n",
"#### Your turn\n",
"\n",
"Now do the same for your data set, `people`."
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "c9e5e4ec-b197-450c-ae2d-318006fa0a2f",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>age</th>\n",
" <th>sex</th>\n",
" <th>income</th>\n",
" <th>education</th>\n",
" <th>sexual_orientation</th>\n",
" <th>height</th>\n",
" <th>weight</th>\n",
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" <td>7</td>\n",
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" <tr>\n",
" <th>2</th>\n",
" <td>35</td>\n",
" <td>female</td>\n",
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" <tr>\n",
" <th>3</th>\n",
" <td>55</td>\n",
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" <td>True</td>\n",
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" <tr>\n",
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" <td>55</td>\n",
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" <td>heterosexual</td>\n",
" <td>1.80</td>\n",
" <td>76.66</td>\n",
" <td>4</td>\n",
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" <td>True</td>\n",
" <td>8</td>\n",
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" <td>1.63</td>\n",
" <td>86.18</td>\n",
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" <td>False</td>\n",
" <td>False</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166421</th>\n",
" <td>25</td>\n",
" <td>male</td>\n",
" <td>7</td>\n",
" <td>2</td>\n",
" <td>heterosexual</td>\n",
" <td>1.78</td>\n",
" <td>86.18</td>\n",
" <td>4</td>\n",
" <td>False</td>\n",
" <td>True</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166422</th>\n",
" <td>25</td>\n",
" <td>female</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>heterosexual</td>\n",
" <td>1.91</td>\n",
" <td>45.36</td>\n",
" <td>1</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166423</th>\n",
" <td>35</td>\n",
" <td>female</td>\n",
" <td>5</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.60</td>\n",
" <td>68.04</td>\n",
" <td>4</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166424</th>\n",
" <td>35</td>\n",
" <td>male</td>\n",
" <td>7</td>\n",
" <td>2</td>\n",
" <td>heterosexual</td>\n",
" <td>1.75</td>\n",
" <td>86.18</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>8</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>166425 rows × 11 columns</p>\n",
"</div>"
],
"text/plain": [
" age sex income education sexual_orientation height weight \\\n",
"0 55 female 5 2 other 1.55 83.01 \n",
"1 65 female 8 1 heterosexual 1.65 78.02 \n",
"2 35 female 8 4 heterosexual 1.65 77.11 \n",
"3 55 male 8 4 heterosexual 1.83 81.65 \n",
"4 55 female 8 4 heterosexual 1.80 76.66 \n",
"... ... ... ... ... ... ... ... \n",
"166420 45 female 8 3 heterosexual 1.63 86.18 \n",
"166421 25 male 7 2 heterosexual 1.78 86.18 \n",
"166422 25 female 1 2 heterosexual 1.91 45.36 \n",
"166423 35 female 5 4 heterosexual 1.60 68.04 \n",
"166424 35 male 7 2 heterosexual 1.75 86.18 \n",
"\n",
" health no_doctor exercise sleep \n",
"0 2 True True 7 \n",
"1 3 False False 8 \n",
"2 4 True True 7 \n",
"3 5 False True 8 \n",
"4 4 False True 8 \n",
"... ... ... ... ... \n",
"166420 1 False False 6 \n",
"166421 4 False True 6 \n",
"166422 1 False False 8 \n",
"166423 4 True True 6 \n",
"166424 3 False False 8 \n",
"\n",
"[166425 rows x 11 columns]"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"people"
]
},
{
"cell_type": "markdown",
"id": "7fab76ef-d453-4568-a916-4d4c29535a42",
"metadata": {},
"source": [
"### 1.2 Descriptive Statistics\n",
"\n",
"#### Demo\n",
"\n",
"Let's get a sense of the data contained in some of the columns. For categorical data like `generation`, it makes sense to look at value counts--showing us how many of each category there are. You can use the optional keyword `normalize=True` to see percentage of total instead of frequencies. "
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "9afca362-9edc-423c-981b-dc42107d5de0",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"generation\n",
"1 0.20750\n",
"5 0.20625\n",
"3 0.20000\n",
"4 0.15125\n",
"2 0.13250\n",
"6 0.10250\n",
"Name: proportion, dtype: float64"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pokemon.generation.value_counts(normalize=True)"
]
},
{
"cell_type": "markdown",
"id": "a9b98eee-bdc2-4c63-bab2-ee82e2466d0f",
"metadata": {},
"source": [
"For numeric data, we could start by looking at the mean value. We can select multiple columns and get all the column means at once."
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "5fe580d0-5939-4152-9f8c-4c32d35a4479",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"hp 69.25875\n",
"attack 79.00125\n",
"defense 73.84250\n",
"speed 68.27750\n",
"dtype: float64"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pokemon[[\"hp\", \"attack\", \"defense\", \"speed\"]].mean()"
]
},
{
"cell_type": "markdown",
"id": "0d8e6e78-fcfc-4c38-a418-545fe4216a44",
"metadata": {},
"source": [
"We can also compute the mean of boolean data. In this case, True will map to 1 and False will map to 0. So the mean value equals the percentage of data which is True. "
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "dc69ef53-70cd-4ae0-80e7-c9c8e28de76f",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"np.float64(0.08125)"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pokemon.legendary.mean()"
]
},
{
"cell_type": "markdown",
"id": "69333e87-8df2-4b46-9005-2b8c9df3a7b4",
"metadata": {},
"source": [
"Just over 8% of Pokemon are legendary."
]
},
{
"cell_type": "markdown",
"id": "f563d97d-d9d3-4f2d-a46a-5d5dfc6382de",
"metadata": {},
"source": [
"#### Your turn\n",
"\n",
"**1.2.0.** In this survey, people are grouped into age bands of 18-24, 25-34, 35-44, 45-54, 55-64, and 65+, with the lower bound reported. What percentage of people are in each age band? (When we talk about \"people\" in this lab, we're referring to the people who responded to the survey, not the whole US population.)"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "8fbcc766-8399-4f93-a6c8-e0607250a72a",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"age\n",
"65 0.336326\n",
"55 0.206369\n",
"45 0.157669\n",
"35 0.135527\n",
"25 0.108866\n",
"18 0.055244\n",
"Name: proportion, dtype: float64"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"people.age.value_counts(normalize=True)"
]
},
{
"cell_type": "markdown",
"id": "38006e7b-4771-4c29-86a8-19d04a50fc25",
"metadata": {},
"source": [
"**1.2.1.** What are the mean height and weight of people in this survey?"
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "b7f910c8-3d40-49ae-b270-678734c04100",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"height 1.705082\n",
"weight 83.053588\n",
"dtype: float64"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"people[[\"height\", \"weight\"]].mean()"
]
},
{
"cell_type": "markdown",
"id": "f74634bb-8664-46e4-b371-6f45cbb7c8ef",
"metadata": {},
"source": [
"**1.2.2.** The `exercise` column indicates whether a person has done any physical activity or exercise in the last 30 days, outside of work. What percentage of people have done exercise?"
]
},
{
"cell_type": "code",
"execution_count": 24,
"id": "f3891188-a85f-4089-8388-d4d81c7438ad",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"np.float64(0.7858014120474688)"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"people.exercise.mean()"
]
},
{
"cell_type": "markdown",
"id": "f6082e65-321c-4ee0-9457-74f9bb1b0363",
"metadata": {},
"source": [
"### 1.3 Filtering\n",
"\n",
"Sometimes we're just interested in a selection of the data set. The way to do this is to create a boolean series, and then use this to select which rows you want to include. Vocabulary note: A dataframe is two-dimensional, with rows and columns. A series (a single row or a single column) is one-dimensional. \n",
"\n",
"#### Demo\n",
"`pokemon.legendary` is already boolean, so we can use this to select just the legendary pokémon. "
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "12c0c6c9-c07b-4183-82f6-5e346c74aac9",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
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" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>name</th>\n",
" <th>type</th>\n",
" <th>subtype</th>\n",
" <th>total</th>\n",
" <th>hp</th>\n",
" <th>attack</th>\n",
" <th>defense</th>\n",
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" <tr>\n",
" <th>156</th>\n",
" <td>Articuno</td>\n",
" <td>Ice</td>\n",
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" <td>90</td>\n",
" <td>85</td>\n",
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" <td>95</td>\n",
" <td>125</td>\n",
" <td>85</td>\n",
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" <td>True</td>\n",
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" <tr>\n",
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" <td>Zapdos</td>\n",
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" <td>125</td>\n",
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" <td>1</td>\n",
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" <tr>\n",
" <th>158</th>\n",
" <td>Moltres</td>\n",
" <td>Fire</td>\n",
" <td>Flying</td>\n",
" <td>580</td>\n",
" <td>90</td>\n",
" <td>100</td>\n",
" <td>90</td>\n",
" <td>125</td>\n",
" <td>85</td>\n",
" <td>90</td>\n",
" <td>1</td>\n",
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" <tr>\n",
" <th>162</th>\n",
" <td>Mewtwo</td>\n",
" <td>Psychic</td>\n",
" <td>NaN</td>\n",
" <td>680</td>\n",
" <td>106</td>\n",
" <td>110</td>\n",
" <td>90</td>\n",
" <td>154</td>\n",
" <td>90</td>\n",
" <td>130</td>\n",
" <td>1</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>163</th>\n",
" <td>MewtwoMega Mewtwo X</td>\n",
" <td>Psychic</td>\n",
" <td>Fighting</td>\n",
" <td>780</td>\n",
" <td>106</td>\n",
" <td>190</td>\n",
" <td>100</td>\n",
" <td>154</td>\n",
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" <tr>\n",
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" <tr>\n",
" <th>795</th>\n",
" <td>Diancie</td>\n",
" <td>Rock</td>\n",
" <td>Fairy</td>\n",
" <td>600</td>\n",
" <td>50</td>\n",
" <td>100</td>\n",
" <td>150</td>\n",
" <td>100</td>\n",
" <td>150</td>\n",
" <td>50</td>\n",
" <td>6</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>796</th>\n",
" <td>DiancieMega Diancie</td>\n",
" <td>Rock</td>\n",
" <td>Fairy</td>\n",
" <td>700</td>\n",
" <td>50</td>\n",
" <td>160</td>\n",
" <td>110</td>\n",
" <td>160</td>\n",
" <td>110</td>\n",
" <td>110</td>\n",
" <td>6</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>797</th>\n",
" <td>HoopaHoopa Confined</td>\n",
" <td>Psychic</td>\n",
" <td>Ghost</td>\n",
" <td>600</td>\n",
" <td>80</td>\n",
" <td>110</td>\n",
" <td>60</td>\n",
" <td>150</td>\n",
" <td>130</td>\n",
" <td>70</td>\n",
" <td>6</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>798</th>\n",
" <td>HoopaHoopa Unbound</td>\n",
" <td>Psychic</td>\n",
" <td>Dark</td>\n",
" <td>680</td>\n",
" <td>80</td>\n",
" <td>160</td>\n",
" <td>60</td>\n",
" <td>170</td>\n",
" <td>130</td>\n",
" <td>80</td>\n",
" <td>6</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>799</th>\n",
" <td>Volcanion</td>\n",
" <td>Fire</td>\n",
" <td>Water</td>\n",
" <td>600</td>\n",
" <td>80</td>\n",
" <td>110</td>\n",
" <td>120</td>\n",
" <td>130</td>\n",
" <td>90</td>\n",
" <td>70</td>\n",
" <td>6</td>\n",
" <td>True</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>65 rows × 12 columns</p>\n",
"</div>"
],
"text/plain": [
" name type subtype total hp attack defense \\\n",
"156 Articuno Ice Flying 580 90 85 100 \n",
"157 Zapdos Electric Flying 580 90 90 85 \n",
"158 Moltres Fire Flying 580 90 100 90 \n",
"162 Mewtwo Psychic NaN 680 106 110 90 \n",
"163 MewtwoMega Mewtwo X Psychic Fighting 780 106 190 100 \n",
".. ... ... ... ... ... ... ... \n",
"795 Diancie Rock Fairy 600 50 100 150 \n",
"796 DiancieMega Diancie Rock Fairy 700 50 160 110 \n",
"797 HoopaHoopa Confined Psychic Ghost 600 80 110 60 \n",
"798 HoopaHoopa Unbound Psychic Dark 680 80 160 60 \n",
"799 Volcanion Fire Water 600 80 110 120 \n",
"\n",
" special_attack special_defense speed generation legendary \n",
"156 95 125 85 1 True \n",
"157 125 90 100 1 True \n",
"158 125 85 90 1 True \n",
"162 154 90 130 1 True \n",
"163 154 100 130 1 True \n",
".. ... ... ... ... ... \n",
"795 100 150 50 6 True \n",
"796 160 110 110 6 True \n",
"797 150 130 70 6 True \n",
"798 170 130 80 6 True \n",
"799 130 90 70 6 True \n",
"\n",
"[65 rows x 12 columns]"
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"legendary = pokemon[pokemon.legendary]\n",
"legendary"
]
},
{
"cell_type": "markdown",
"id": "b4ad804a-f5f0-441f-bb83-51f360c1c154",
"metadata": {},
"source": [
"Let's get all the ice pokémon. We can create a boolean series from another series..."
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "5d089acf-7b76-4f91-8803-42a4a9a11e3e",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0 False\n",
"1 False\n",
"2 False\n",
"3 False\n",
"4 False\n",
" ... \n",
"795 False\n",
"796 False\n",
"797 False\n",
"798 False\n",
"799 False\n",
"Name: type, Length: 800, dtype: bool"
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pokemon.type == \"Ice\""
]
},
{
"cell_type": "markdown",
"id": "a5ea9e89-f466-48de-9133-346c99f4a6c1",
"metadata": {},
"source": [
"And then use this series to select just the ice pokémon. "
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "510fa0fc-2b38-4725-9bbf-ec57d62792be",
"metadata": {},
"outputs": [
{
"data": {
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" <td>250</td>\n",
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" <tr>\n",
" <th>239</th>\n",
" <td>Piloswine</td>\n",
" <td>Ice</td>\n",
" <td>Ground</td>\n",
" <td>450</td>\n",
" <td>100</td>\n",
" <td>100</td>\n",
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" <td>60</td>\n",
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" <tr>\n",
" <th>243</th>\n",
" <td>Delibird</td>\n",
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" <td>Flying</td>\n",
" <td>330</td>\n",
" <td>45</td>\n",
" <td>55</td>\n",
" <td>45</td>\n",
" <td>65</td>\n",
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" <tr>\n",
" <th>257</th>\n",
" <td>Smoochum</td>\n",
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" <td>45</td>\n",
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" <tr>\n",
" <th>395</th>\n",
" <td>Snorunt</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>300</td>\n",
" <td>50</td>\n",
" <td>50</td>\n",
" <td>50</td>\n",
" <td>50</td>\n",
" <td>50</td>\n",
" <td>50</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>396</th>\n",
" <td>Glalie</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>480</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
" <td>3</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>397</th>\n",
" <td>GlalieMega Glalie</td>\n",
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" <td>NaN</td>\n",
" <td>580</td>\n",
" <td>80</td>\n",
" <td>120</td>\n",
" <td>80</td>\n",
" <td>120</td>\n",
" <td>80</td>\n",
" <td>100</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>398</th>\n",
" <td>Spheal</td>\n",
" <td>Ice</td>\n",
" <td>Water</td>\n",
" <td>290</td>\n",
" <td>70</td>\n",
" <td>40</td>\n",
" <td>50</td>\n",
" <td>55</td>\n",
" <td>50</td>\n",
" <td>25</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>399</th>\n",
" <td>Sealeo</td>\n",
" <td>Ice</td>\n",
" <td>Water</td>\n",
" <td>410</td>\n",
" <td>90</td>\n",
" <td>60</td>\n",
" <td>70</td>\n",
" <td>75</td>\n",
" <td>70</td>\n",
" <td>45</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>400</th>\n",
" <td>Walrein</td>\n",
" <td>Ice</td>\n",
" <td>Water</td>\n",
" <td>530</td>\n",
" <td>110</td>\n",
" <td>80</td>\n",
" <td>90</td>\n",
" <td>95</td>\n",
" <td>90</td>\n",
" <td>65</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>415</th>\n",
" <td>Regice</td>\n",
" <td>Ice</td>\n",
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" <td>580</td>\n",
" <td>80</td>\n",
" <td>50</td>\n",
" <td>100</td>\n",
" <td>100</td>\n",
" <td>200</td>\n",
" <td>50</td>\n",
" <td>3</td>\n",
" <td>True</td>\n",
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" <tr>\n",
" <th>522</th>\n",
" <td>Glaceon</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>525</td>\n",
" <td>65</td>\n",
" <td>60</td>\n",
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" <td>130</td>\n",
" <td>95</td>\n",
" <td>65</td>\n",
" <td>4</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>524</th>\n",
" <td>Mamoswine</td>\n",
" <td>Ice</td>\n",
" <td>Ground</td>\n",
" <td>530</td>\n",
" <td>110</td>\n",
" <td>130</td>\n",
" <td>80</td>\n",
" <td>70</td>\n",
" <td>60</td>\n",
" <td>80</td>\n",
" <td>4</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>530</th>\n",
" <td>Froslass</td>\n",
" <td>Ice</td>\n",
" <td>Ghost</td>\n",
" <td>480</td>\n",
" <td>70</td>\n",
" <td>80</td>\n",
" <td>70</td>\n",
" <td>80</td>\n",
" <td>70</td>\n",
" <td>110</td>\n",
" <td>4</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>643</th>\n",
" <td>Vanillite</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>305</td>\n",
" <td>36</td>\n",
" <td>50</td>\n",
" <td>50</td>\n",
" <td>65</td>\n",
" <td>60</td>\n",
" <td>44</td>\n",
" <td>5</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>644</th>\n",
" <td>Vanillish</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>395</td>\n",
" <td>51</td>\n",
" <td>65</td>\n",
" <td>65</td>\n",
" <td>80</td>\n",
" <td>75</td>\n",
" <td>59</td>\n",
" <td>5</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>645</th>\n",
" <td>Vanilluxe</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>535</td>\n",
" <td>71</td>\n",
" <td>95</td>\n",
" <td>85</td>\n",
" <td>110</td>\n",
" <td>95</td>\n",
" <td>79</td>\n",
" <td>5</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>674</th>\n",
" <td>Cubchoo</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>305</td>\n",
" <td>55</td>\n",
" <td>70</td>\n",
" <td>40</td>\n",
" <td>60</td>\n",
" <td>40</td>\n",
" <td>40</td>\n",
" <td>5</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>675</th>\n",
" <td>Beartic</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>485</td>\n",
" <td>95</td>\n",
" <td>110</td>\n",
" <td>80</td>\n",
" <td>70</td>\n",
" <td>80</td>\n",
" <td>50</td>\n",
" <td>5</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>676</th>\n",
" <td>Cryogonal</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>485</td>\n",
" <td>70</td>\n",
" <td>50</td>\n",
" <td>30</td>\n",
" <td>95</td>\n",
" <td>135</td>\n",
" <td>105</td>\n",
" <td>5</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>788</th>\n",
" <td>Bergmite</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>304</td>\n",
" <td>55</td>\n",
" <td>69</td>\n",
" <td>85</td>\n",
" <td>32</td>\n",
" <td>35</td>\n",
" <td>28</td>\n",
" <td>6</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>789</th>\n",
" <td>Avalugg</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>514</td>\n",
" <td>95</td>\n",
" <td>117</td>\n",
" <td>184</td>\n",
" <td>44</td>\n",
" <td>46</td>\n",
" <td>28</td>\n",
" <td>6</td>\n",
" <td>False</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" name type subtype total hp attack defense \\\n",
"133 Jynx Ice Psychic 455 65 50 35 \n",
"156 Articuno Ice Flying 580 90 85 100 \n",
"238 Swinub Ice Ground 250 50 50 40 \n",
"239 Piloswine Ice Ground 450 100 100 80 \n",
"243 Delibird Ice Flying 330 45 55 45 \n",
"257 Smoochum Ice Psychic 305 45 30 15 \n",
"395 Snorunt Ice NaN 300 50 50 50 \n",
"396 Glalie Ice NaN 480 80 80 80 \n",
"397 GlalieMega Glalie Ice NaN 580 80 120 80 \n",
"398 Spheal Ice Water 290 70 40 50 \n",
"399 Sealeo Ice Water 410 90 60 70 \n",
"400 Walrein Ice Water 530 110 80 90 \n",
"415 Regice Ice NaN 580 80 50 100 \n",
"522 Glaceon Ice NaN 525 65 60 110 \n",
"524 Mamoswine Ice Ground 530 110 130 80 \n",
"530 Froslass Ice Ghost 480 70 80 70 \n",
"643 Vanillite Ice NaN 305 36 50 50 \n",
"644 Vanillish Ice NaN 395 51 65 65 \n",
"645 Vanilluxe Ice NaN 535 71 95 85 \n",
"674 Cubchoo Ice NaN 305 55 70 40 \n",
"675 Beartic Ice NaN 485 95 110 80 \n",
"676 Cryogonal Ice NaN 485 70 50 30 \n",
"788 Bergmite Ice NaN 304 55 69 85 \n",
"789 Avalugg Ice NaN 514 95 117 184 \n",
"\n",
" special_attack special_defense speed generation legendary \n",
"133 115 95 95 1 False \n",
"156 95 125 85 1 True \n",
"238 30 30 50 2 False \n",
"239 60 60 50 2 False \n",
"243 65 45 75 2 False \n",
"257 85 65 65 2 False \n",
"395 50 50 50 3 False \n",
"396 80 80 80 3 False \n",
"397 120 80 100 3 False \n",
"398 55 50 25 3 False \n",
"399 75 70 45 3 False \n",
"400 95 90 65 3 False \n",
"415 100 200 50 3 True \n",
"522 130 95 65 4 False \n",
"524 70 60 80 4 False \n",
"530 80 70 110 4 False \n",
"643 65 60 44 5 False \n",
"644 80 75 59 5 False \n",
"645 110 95 79 5 False \n",
"674 60 40 40 5 False \n",
"675 70 80 50 5 False \n",
"676 95 135 105 5 False \n",
"788 32 35 28 6 False \n",
"789 44 46 28 6 False "
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ice = pokemon[pokemon.type == \"Ice\"]\n",
"ice"
]
},
{
"cell_type": "markdown",
"id": "0af5f534-0bec-4577-beee-29b350102265",
"metadata": {},
"source": [
"Let's get the high-speed ice pokémon. You can join conditions together using the `&` (and) and `|` (or) operators. `~` means \"not\", so `pokemon[~(pokemon.type == \"Ice\")]` would select all the non-ice pokémon. Due to order of operations, each condition needs to be wrapped in parentheses."
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "05d4c5c2-c6b4-4795-9799-c884b15445a1",
"metadata": {},
"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>name</th>\n",
" <th>type</th>\n",
" <th>subtype</th>\n",
" <th>total</th>\n",
" <th>hp</th>\n",
" <th>attack</th>\n",
" <th>defense</th>\n",
" <th>special_attack</th>\n",
" <th>special_defense</th>\n",
" <th>speed</th>\n",
" <th>generation</th>\n",
" <th>legendary</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>133</th>\n",
" <td>Jynx</td>\n",
" <td>Ice</td>\n",
" <td>Psychic</td>\n",
" <td>455</td>\n",
" <td>65</td>\n",
" <td>50</td>\n",
" <td>35</td>\n",
" <td>115</td>\n",
" <td>95</td>\n",
" <td>95</td>\n",
" <td>1</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>156</th>\n",
" <td>Articuno</td>\n",
" <td>Ice</td>\n",
" <td>Flying</td>\n",
" <td>580</td>\n",
" <td>90</td>\n",
" <td>85</td>\n",
" <td>100</td>\n",
" <td>95</td>\n",
" <td>125</td>\n",
" <td>85</td>\n",
" <td>1</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>396</th>\n",
" <td>Glalie</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>480</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>397</th>\n",
" <td>GlalieMega Glalie</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>580</td>\n",
" <td>80</td>\n",
" <td>120</td>\n",
" <td>80</td>\n",
" <td>120</td>\n",
" <td>80</td>\n",
" <td>100</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>524</th>\n",
" <td>Mamoswine</td>\n",
" <td>Ice</td>\n",
" <td>Ground</td>\n",
" <td>530</td>\n",
" <td>110</td>\n",
" <td>130</td>\n",
" <td>80</td>\n",
" <td>70</td>\n",
" <td>60</td>\n",
" <td>80</td>\n",
" <td>4</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>530</th>\n",
" <td>Froslass</td>\n",
" <td>Ice</td>\n",
" <td>Ghost</td>\n",
" <td>480</td>\n",
" <td>70</td>\n",
" <td>80</td>\n",
" <td>70</td>\n",
" <td>80</td>\n",
" <td>70</td>\n",
" <td>110</td>\n",
" <td>4</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>676</th>\n",
" <td>Cryogonal</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>485</td>\n",
" <td>70</td>\n",
" <td>50</td>\n",
" <td>30</td>\n",
" <td>95</td>\n",
" <td>135</td>\n",
" <td>105</td>\n",
" <td>5</td>\n",
" <td>False</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" name type subtype total hp attack defense \\\n",
"133 Jynx Ice Psychic 455 65 50 35 \n",
"156 Articuno Ice Flying 580 90 85 100 \n",
"396 Glalie Ice NaN 480 80 80 80 \n",
"397 GlalieMega Glalie Ice NaN 580 80 120 80 \n",
"524 Mamoswine Ice Ground 530 110 130 80 \n",
"530 Froslass Ice Ghost 480 70 80 70 \n",
"676 Cryogonal Ice NaN 485 70 50 30 \n",
"\n",
" special_attack special_defense speed generation legendary \n",
"133 115 95 95 1 False \n",
"156 95 125 85 1 True \n",
"396 80 80 80 3 False \n",
"397 120 80 100 3 False \n",
"524 70 60 80 4 False \n",
"530 80 70 110 4 False \n",
"676 95 135 105 5 False "
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"high_speed_ice = pokemon[(pokemon.type == \"Ice\") & (pokemon.speed >= 80)]\n",
"high_speed_ice"
]
},
{
"cell_type": "markdown",
"id": "c84dc7ce-24f2-4ac7-92d7-99ed331488e0",
"metadata": {},
"source": [
"You could get the pokémon who are fire or ice by selecting `pokemon[(pokemon.type == \"Fire\") | (pokemon.type == \"Ice\")]`."
]
},
{
"cell_type": "markdown",
"id": "1f0e9625-b194-450d-b003-b88798cc2f45",
"metadata": {},
"source": [
"#### Your turn\n",
"\n",
"**1.3.0.** `no_doctor` indicates whether there was a time in the last year when the person needed to see a doctor, but could not afford to do so. Create a dataframe containing only these people. "
]
},
{
"cell_type": "code",
"execution_count": 28,
"id": "198cb0c6-3f43-43c2-9eee-3939c12ea537",
"metadata": {},
"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>age</th>\n",
" <th>sex</th>\n",
" <th>income</th>\n",
" <th>education</th>\n",
" <th>sexual_orientation</th>\n",
" <th>height</th>\n",
" <th>weight</th>\n",
" <th>health</th>\n",
" <th>no_doctor</th>\n",
" <th>exercise</th>\n",
" <th>sleep</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>55</td>\n",
" <td>female</td>\n",
" <td>5</td>\n",
" <td>2</td>\n",
" <td>other</td>\n",
" <td>1.55</td>\n",
" <td>83.01</td>\n",
" <td>2</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>35</td>\n",
" <td>female</td>\n",
" <td>8</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.65</td>\n",
" <td>77.11</td>\n",
" <td>4</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>35</td>\n",
" <td>male</td>\n",
" <td>8</td>\n",
" <td>3</td>\n",
" <td>heterosexual</td>\n",
" <td>1.73</td>\n",
" <td>94.35</td>\n",
" <td>4</td>\n",
" <td>True</td>\n",
" <td>False</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50</th>\n",
" <td>35</td>\n",
" <td>female</td>\n",
" <td>4</td>\n",
" <td>2</td>\n",
" <td>heterosexual</td>\n",
" <td>1.78</td>\n",
" <td>81.65</td>\n",
" <td>4</td>\n",
" <td>True</td>\n",
" <td>False</td>\n",
" <td>10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>66</th>\n",
" <td>45</td>\n",
" <td>female</td>\n",
" <td>6</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.57</td>\n",
" <td>72.57</td>\n",
" <td>4</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166407</th>\n",
" <td>18</td>\n",
" <td>male</td>\n",
" <td>5</td>\n",
" <td>2</td>\n",
" <td>heterosexual</td>\n",
" <td>1.68</td>\n",
" <td>68.04</td>\n",
" <td>3</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166409</th>\n",
" <td>25</td>\n",
" <td>male</td>\n",
" <td>6</td>\n",
" <td>2</td>\n",
" <td>heterosexual</td>\n",
" <td>1.57</td>\n",
" <td>58.51</td>\n",
" <td>4</td>\n",
" <td>True</td>\n",
" <td>False</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166414</th>\n",
" <td>55</td>\n",
" <td>female</td>\n",
" <td>8</td>\n",
" <td>3</td>\n",
" <td>heterosexual</td>\n",
" <td>1.63</td>\n",
" <td>88.45</td>\n",
" <td>3</td>\n",
" <td>True</td>\n",
" <td>False</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166416</th>\n",
" <td>65</td>\n",
" <td>female</td>\n",
" <td>5</td>\n",
" <td>2</td>\n",
" <td>heterosexual</td>\n",
" <td>1.50</td>\n",
" <td>55.34</td>\n",
" <td>3</td>\n",
" <td>True</td>\n",
" <td>False</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166423</th>\n",
" <td>35</td>\n",
" <td>female</td>\n",
" <td>5</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.60</td>\n",
" <td>68.04</td>\n",
" <td>4</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>6</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>13784 rows × 11 columns</p>\n",
"</div>"
],
"text/plain": [
" age sex income education sexual_orientation height weight \\\n",
"0 55 female 5 2 other 1.55 83.01 \n",
"2 35 female 8 4 heterosexual 1.65 77.11 \n",
"24 35 male 8 3 heterosexual 1.73 94.35 \n",
"50 35 female 4 2 heterosexual 1.78 81.65 \n",
"66 45 female 6 4 heterosexual 1.57 72.57 \n",
"... ... ... ... ... ... ... ... \n",
"166407 18 male 5 2 heterosexual 1.68 68.04 \n",
"166409 25 male 6 2 heterosexual 1.57 58.51 \n",
"166414 55 female 8 3 heterosexual 1.63 88.45 \n",
"166416 65 female 5 2 heterosexual 1.50 55.34 \n",
"166423 35 female 5 4 heterosexual 1.60 68.04 \n",
"\n",
" health no_doctor exercise sleep \n",
"0 2 True True 7 \n",
"2 4 True True 7 \n",
"24 4 True False 8 \n",
"50 4 True False 10 \n",
"66 4 True True 7 \n",
"... ... ... ... ... \n",
"166407 3 True True 8 \n",
"166409 4 True False 7 \n",
"166414 3 True False 6 \n",
"166416 3 True False 6 \n",
"166423 4 True True 6 \n",
"\n",
"[13784 rows x 11 columns]"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"no_doctor = people[people.no_doctor]\n",
"no_doctor"
]
},
{
"cell_type": "markdown",
"id": "9d213707-a15b-4751-8df9-48aa568af209",
"metadata": {},
"source": [
"**1.3.1.** `health` asks people for their general health, with the meanings of numbers shown below. Create a dataframe which contains people whose general health is good or better. \n",
"\n",
"| number | health status | \n",
"| ------ | ----------- |\n",
"| 1 | Poor |\n",
"| 2 | Fair |\n",
"| 3 | Good |\n",
"| 4 | Very good |\n",
"| 5 | Excellent |"
]
},
{
"cell_type": "code",
"execution_count": 33,
"id": "8a8c1ad6-4c1e-4996-ab5e-5212dadb1851",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[0 True\n",
" 1 True\n",
" 2 True\n",
" 3 True\n",
" 4 True\n",
" ... \n",
" 166420 False\n",
" 166421 True\n",
" 166422 False\n",
" 166423 True\n",
" 166424 True\n",
" Name: health, Length: 166425, dtype: bool]"
]
},
"execution_count": 33,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"good = [people.health >= 2]\n",
"good"
]
},
{
"cell_type": "markdown",
"id": "7add542b-bfd2-481a-b5b4-4e1ca744078a",
"metadata": {},
"source": [
"**1.3.2.**. `education` indicates the highest level of education completed, with codes as follows. Create a dataframe which only contains female college graduates who needed a doctor but couldn't afford one. (The survey asked people for their current sex, and only had options for male and female.)\n",
"\n",
"| number | education level | \n",
"| ------ | ----------- |\n",
"| 1 | Did not graduate from high school |\n",
"| 2 | Graduated from high school |\n",
"| 3 | Attended some college |\n",
"| 4 | Graduated from college |"
]
},
{
"cell_type": "code",
"execution_count": 34,
"id": "315682ae-7d54-4d78-9a63-d23c83ba1576",
"metadata": {},
"outputs": [
{
"data": {
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>age</th>\n",
" <th>sex</th>\n",
" <th>income</th>\n",
" <th>education</th>\n",
" <th>sexual_orientation</th>\n",
" <th>height</th>\n",
" <th>weight</th>\n",
" <th>health</th>\n",
" <th>no_doctor</th>\n",
" <th>exercise</th>\n",
" <th>sleep</th>\n",
" </tr>\n",
" </thead>\n",
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" <tr>\n",
" <th>2</th>\n",
" <td>35</td>\n",
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" <td>8</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
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" <td>True</td>\n",
" <td>7</td>\n",
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" <td>True</td>\n",
" <td>7</td>\n",
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" <tr>\n",
" <th>135</th>\n",
" <td>55</td>\n",
" <td>female</td>\n",
" <td>6</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.70</td>\n",
" <td>81.65</td>\n",
" <td>4</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>146</th>\n",
" <td>65</td>\n",
" <td>female</td>\n",
" <td>5</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.55</td>\n",
" <td>72.57</td>\n",
" <td>5</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>259</th>\n",
" <td>65</td>\n",
" <td>female</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.57</td>\n",
" <td>56.70</td>\n",
" <td>3</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
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" <tr>\n",
" <th>166121</th>\n",
" <td>35</td>\n",
" <td>female</td>\n",
" <td>8</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.65</td>\n",
" <td>136.08</td>\n",
" <td>4</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166219</th>\n",
" <td>55</td>\n",
" <td>female</td>\n",
" <td>5</td>\n",
" <td>4</td>\n",
" <td>other</td>\n",
" <td>1.52</td>\n",
" <td>59.87</td>\n",
" <td>3</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166272</th>\n",
" <td>25</td>\n",
" <td>female</td>\n",
" <td>8</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.52</td>\n",
" <td>98.88</td>\n",
" <td>3</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166381</th>\n",
" <td>45</td>\n",
" <td>female</td>\n",
" <td>5</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.52</td>\n",
" <td>49.90</td>\n",
" <td>5</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166423</th>\n",
" <td>35</td>\n",
" <td>female</td>\n",
" <td>5</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.60</td>\n",
" <td>68.04</td>\n",
" <td>4</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>6</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>2321 rows × 11 columns</p>\n",
"</div>"
],
"text/plain": [
" age sex income education sexual_orientation height weight \\\n",
"2 35 female 8 4 heterosexual 1.65 77.11 \n",
"66 45 female 6 4 heterosexual 1.57 72.57 \n",
"135 55 female 6 4 heterosexual 1.70 81.65 \n",
"146 65 female 5 4 heterosexual 1.55 72.57 \n",
"259 65 female 4 4 heterosexual 1.57 56.70 \n",
"... ... ... ... ... ... ... ... \n",
"166121 35 female 8 4 heterosexual 1.65 136.08 \n",
"166219 55 female 5 4 other 1.52 59.87 \n",
"166272 25 female 8 4 heterosexual 1.52 98.88 \n",
"166381 45 female 5 4 heterosexual 1.52 49.90 \n",
"166423 35 female 5 4 heterosexual 1.60 68.04 \n",
"\n",
" health no_doctor exercise sleep \n",
"2 4 True True 7 \n",
"66 4 True True 7 \n",
"135 4 True True 7 \n",
"146 5 True True 7 \n",
"259 3 True True 6 \n",
"... ... ... ... ... \n",
"166121 4 True True 5 \n",
"166219 3 True True 5 \n",
"166272 3 True True 8 \n",
"166381 5 True True 6 \n",
"166423 4 True True 6 \n",
"\n",
"[2321 rows x 11 columns]"
]
},
"execution_count": 34,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"college_female_no_doctor = people[(people.education == 4) & (people.sex == \"female\") & (people.no_doctor)]\n",
"college_female_no_doctor"
]
},
{
"cell_type": "markdown",
"id": "646d1148-7d94-4521-a04a-fbf17ade1235",
"metadata": {},
"source": [
"### 1.4. Grouping\n",
"\n",
"Now things get crazy. You can group a dataframe using one or more columns, and then compare their statistics. \n",
"\n",
"#### Demo\n",
"\n",
"Do different types of pokémon move at different speeds? We'll use `sort_values` to put these in order from slow to fast."
]
},
{
"cell_type": "code",
"execution_count": 35,
"id": "069ea0ab-eff6-4985-9f46-db956fe1df91",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"type\n",
"Fairy 48.588235\n",
"Steel 55.259259\n",
"Rock 55.909091\n",
"Bug 61.681159\n",
"Grass 61.928571\n",
"Ice 63.458333\n",
"Poison 63.571429\n",
"Ground 63.906250\n",
"Ghost 64.343750\n",
"Water 65.964286\n",
"Fighting 66.074074\n",
"Normal 71.551020\n",
"Fire 74.442308\n",
"Dark 76.161290\n",
"Psychic 81.491228\n",
"Dragon 83.031250\n",
"Electric 84.500000\n",
"Flying 102.500000\n",
"Name: speed, dtype: float64"
]
},
"execution_count": 35,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pokemon.groupby(\"type\").speed.mean().sort_values()"
]
},
{
"cell_type": "markdown",
"id": "bdc801b7-d3ae-45bb-80f4-ebeb474e20a1",
"metadata": {},
"source": [
"Do types differ in other stats? Let's sort by hit points. "
]
},
{
"cell_type": "code",
"execution_count": 36,
"id": "5c420c0e-b5d2-49ae-ab98-3305ee076169",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
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" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>hp</th>\n",
" <th>attack</th>\n",
" <th>defense</th>\n",
" </tr>\n",
" <tr>\n",
" <th>type</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>Bug</th>\n",
" <td>56.884058</td>\n",
" <td>70.971014</td>\n",
" <td>70.724638</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Electric</th>\n",
" <td>59.795455</td>\n",
" <td>69.090909</td>\n",
" <td>66.295455</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Ghost</th>\n",
" <td>64.437500</td>\n",
" <td>73.781250</td>\n",
" <td>81.187500</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Steel</th>\n",
" <td>65.222222</td>\n",
" <td>92.703704</td>\n",
" <td>126.370370</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Rock</th>\n",
" <td>65.363636</td>\n",
" <td>92.863636</td>\n",
" <td>100.795455</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Dark</th>\n",
" <td>66.806452</td>\n",
" <td>88.387097</td>\n",
" <td>70.225806</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Poison</th>\n",
" <td>67.250000</td>\n",
" <td>74.678571</td>\n",
" <td>68.821429</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Grass</th>\n",
" <td>67.271429</td>\n",
" <td>73.214286</td>\n",
" <td>70.800000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Fighting</th>\n",
" <td>69.851852</td>\n",
" <td>96.777778</td>\n",
" <td>65.925926</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Fire</th>\n",
" <td>69.903846</td>\n",
" <td>84.769231</td>\n",
" <td>67.769231</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Psychic</th>\n",
" <td>70.631579</td>\n",
" <td>71.456140</td>\n",
" <td>67.684211</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Flying</th>\n",
" <td>70.750000</td>\n",
" <td>78.750000</td>\n",
" <td>66.250000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Ice</th>\n",
" <td>72.000000</td>\n",
" <td>72.750000</td>\n",
" <td>71.416667</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Water</th>\n",
" <td>72.062500</td>\n",
" <td>74.151786</td>\n",
" <td>72.946429</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Ground</th>\n",
" <td>73.781250</td>\n",
" <td>95.750000</td>\n",
" <td>84.843750</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Fairy</th>\n",
" <td>74.117647</td>\n",
" <td>61.529412</td>\n",
" <td>65.705882</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Normal</th>\n",
" <td>77.275510</td>\n",
" <td>73.469388</td>\n",
" <td>59.846939</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Dragon</th>\n",
" <td>83.312500</td>\n",
" <td>112.125000</td>\n",
" <td>86.375000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" hp attack defense\n",
"type \n",
"Bug 56.884058 70.971014 70.724638\n",
"Electric 59.795455 69.090909 66.295455\n",
"Ghost 64.437500 73.781250 81.187500\n",
"Steel 65.222222 92.703704 126.370370\n",
"Rock 65.363636 92.863636 100.795455\n",
"Dark 66.806452 88.387097 70.225806\n",
"Poison 67.250000 74.678571 68.821429\n",
"Grass 67.271429 73.214286 70.800000\n",
"Fighting 69.851852 96.777778 65.925926\n",
"Fire 69.903846 84.769231 67.769231\n",
"Psychic 70.631579 71.456140 67.684211\n",
"Flying 70.750000 78.750000 66.250000\n",
"Ice 72.000000 72.750000 71.416667\n",
"Water 72.062500 74.151786 72.946429\n",
"Ground 73.781250 95.750000 84.843750\n",
"Fairy 74.117647 61.529412 65.705882\n",
"Normal 77.275510 73.469388 59.846939\n",
"Dragon 83.312500 112.125000 86.375000"
]
},
"execution_count": 36,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ptypes = pokemon.groupby(\"type\")\n",
"ptypes[[\"hp\", \"attack\", \"defense\"]].mean().sort_values(\"hp\")"
]
},
{
"cell_type": "markdown",
"id": "cc9a3d19-0ecd-487b-b34f-b748c44fc9c9",
"metadata": {},
"source": [
"Which type/subtype combinations are most likely to have legendary pokémon?"
]
},
{
"cell_type": "code",
"execution_count": 37,
"id": "444a580d-e70c-48a1-bf87-77f98b8c9f85",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"type subtype \n",
"Electric Flying 0.600000\n",
"Rock Fairy 0.666667\n",
"Ghost Dragon 1.000000\n",
"Ground Fire 1.000000\n",
"Fire Water 1.000000\n",
" Steel 1.000000\n",
"Steel Dragon 1.000000\n",
"Dragon Electric 1.000000\n",
"Psychic Ghost 1.000000\n",
"Dragon Psychic 1.000000\n",
" Ice 1.000000\n",
"Rock Fighting 1.000000\n",
"Steel Fighting 1.000000\n",
"Dragon Fire 1.000000\n",
"Psychic Dark 1.000000\n",
" Fire 1.000000\n",
"Name: legendary, dtype: float64"
]
},
"execution_count": 37,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"legendary_percentages = pokemon.groupby([\"type\", \"subtype\"]).legendary.mean().sort_values() \n",
"legendary_percentages[legendary_percentages > 0.5]"
]
},
{
"cell_type": "markdown",
"id": "de23775b-8670-4371-913d-d8fa1d1f3a76",
"metadata": {},
"source": [
"#### Your turn\n",
"\n",
"**1.4.0.** `income` records peoples' annual income, in the following bands. `sleep` records the average hours of sleep someone gets per night. Is there a difference in the average hours of sleep by income level?\n",
"\n",
"| number | annual income, in $1000 | \n",
"| ------ | ----------- |\n",
"| 1 | Less than 10 |\n",
"| 2 | 10-15 |\n",
"| 3 | 15-20 |\n",
"| 4 | 20-25 |\n",
"| 5 | 25-35 |\n",
"| 6 | 35-50 |\n",
"| 7 | 50-75 |\n",
"| 8 | More than 75 |"
]
},
{
"cell_type": "code",
"execution_count": 40,
"id": "75c1ac4f-3914-4c0a-a156-2e084002df66",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"income\n",
"1 6.952208\n",
"2 6.985627\n",
"6 7.055784\n",
"8 7.074626\n",
"7 7.078495\n",
"4 7.079627\n",
"3 7.083274\n",
"5 7.100286\n",
"Name: sleep, dtype: float64"
]
},
"execution_count": 40,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"people.groupby(\"income\").sleep.mean().sort_values()"
]
},
{
"cell_type": "markdown",
"id": "f6413f2b-26a0-4b70-976f-90e45558c4bb",
"metadata": {},
"source": [
"**1.4.0.** Is there a difference in peoples' income or general health, by sex and education level? "
]
},
{
"cell_type": "code",
"execution_count": 44,
"id": "d46df8a1-bbc2-45a4-9be1-cee1858cbf21",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
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"\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></th>\n",
" <th>income</th>\n",
" <th>health</th>\n",
" </tr>\n",
" <tr>\n",
" <th>sex</th>\n",
" <th>education</th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>female</th>\n",
" <th>1</th>\n",
" <td>3.554701</td>\n",
" <td>2.848040</td>\n",
" </tr>\n",
" <tr>\n",
" <th>male</th>\n",
" <th>1</th>\n",
" <td>4.433009</td>\n",
" <td>3.031525</td>\n",
" </tr>\n",
" <tr>\n",
" <th>female</th>\n",
" <th>2</th>\n",
" <td>5.049022</td>\n",
" <td>3.315797</td>\n",
" </tr>\n",
" <tr>\n",
" <th>male</th>\n",
" <th>2</th>\n",
" <td>5.742876</td>\n",
" <td>3.440818</td>\n",
" </tr>\n",
" <tr>\n",
" <th>female</th>\n",
" <th>3</th>\n",
" <td>5.779390</td>\n",
" <td>3.483379</td>\n",
" </tr>\n",
" <tr>\n",
" <th>male</th>\n",
" <th>3</th>\n",
" <td>6.270230</td>\n",
" <td>3.549105</td>\n",
" </tr>\n",
" <tr>\n",
" <th>female</th>\n",
" <th>4</th>\n",
" <td>6.960652</td>\n",
" <td>3.844340</td>\n",
" </tr>\n",
" <tr>\n",
" <th>male</th>\n",
" <th>4</th>\n",
" <td>7.190582</td>\n",
" <td>3.826512</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" income health\n",
"sex education \n",
"female 1 3.554701 2.848040\n",
"male 1 4.433009 3.031525\n",
"female 2 5.049022 3.315797\n",
"male 2 5.742876 3.440818\n",
"female 3 5.779390 3.483379\n",
"male 3 6.270230 3.549105\n",
"female 4 6.960652 3.844340\n",
"male 4 7.190582 3.826512"
]
},
"execution_count": 44,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sex_education = people.groupby([\"sex\", \"education\"])\n",
"sex_education[[\"income\", \"health\"]].mean().sort_values(\"income\")"
]
},
{
"cell_type": "markdown",
"id": "931d602b-ddf4-4c8b-80e0-f886267cce76",
"metadata": {},
"source": [
"### 1.5. Plotting \n",
"\n",
"Pandas has excellent built-in plotting capabilities, but \n",
"we are going to use the [seaborn](https://seaborn.pydata.org/) library because it's a bit \n",
"more intuitive and produces more beautiful plots. `set_theme`, called here without any arguments, assigns the default color palette. "
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "b1e06e4f-6b9e-42af-a27c-dbb525a259ce",
"metadata": {},
"outputs": [],
"source": [
"import seaborn as sns\n",
"sns.set_theme()"
]
},
{
"cell_type": "markdown",
"id": "a15ad672-13e8-4bdd-bc31-a489a1730daf",
"metadata": {},
"source": [
"#### Demo\n",
"\n",
"**When you want to visualize the distribution of a series**, a [histogram](https://seaborn.pydata.org/generated/seaborn.histplot.html) puts data into bins and plots the number of data points in each bin.\n",
"\n",
"Let's see the distribution of pokémon attack values. Note how assigning `x=\"attack\"` spreads attack values over the x-axis, while `y=\"attack\"` spreads attack values over the y-axis. The number of bins is selected automatically, but you can specify this with the optional `bins` argument. "
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "5ce066fe-f81d-4b78-a394-c5c2f4dc9f46",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='attack', ylabel='Count'>"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.histplot(data = pokemon, x=\"attack\")"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "bceb253b-ef4f-4aa2-aef4-cab2b3ca6d59",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='Count', ylabel='attack'>"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.histplot(data=pokemon, y=\"attack\", bins=5)"
]
},
{
"cell_type": "markdown",
"id": "2aac9186-86c0-41db-a1c4-8719bb78b46b",
"metadata": {},
"source": [
"**When you want to compare the distribution of a numeric variable across categories**, a [barplot](https://seaborn.pydata.org/generated/seaborn.barplot.html) is a good choice. Choose one numeric column and one categorical column. \n",
"\n",
"Let's see pokémon hit points by legendary/non-legendary. `ci=\"sd\"` shows the standard deviation for each category. "
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "92be1ad0-12bb-49f0-a3f6-85fcfd98e943",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='legendary', ylabel='hp'>"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.barplot(data=pokemon, x=\"legendary\", y=\"hp\", errorbar=\"sd\")"
]
},
{
"cell_type": "markdown",
"id": "4f75e1fa-a5d7-4d2c-a458-8190a7cd700e",
"metadata": {},
"source": [
"Here, we use a barplot to show average hit points by type. `ci=None` removes the standard deviation bars, because they clutter up the plot with too much detail. "
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "17f1c289-5990-4420-bfcb-e50eee0b8af6",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/var/folders/g5/4k7xbl151kj02vp802byv4cr0000gn/T/ipykernel_34651/4271774150.py:1: FutureWarning: \n",
"\n",
"Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n",
"\n",
" sns.barplot(data=pokemon, x=\"hp\", y=\"type\", errorbar=None, palette=\"muted\")\n"
]
},
{
"data": {
"text/plain": [
"<Axes: xlabel='hp', ylabel='type'>"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.barplot(data=pokemon, x=\"hp\", y=\"type\", errorbar=None, palette=\"muted\")"
]
},
{
"cell_type": "markdown",
"id": "213d6139-203f-4d81-a4b1-6f98cb184662",
"metadata": {},
"source": [
"**When you want to show how many observations are the intersection of multiple categories,** a [countplot](https://seaborn.pydata.org/generated/seaborn.countplot.html) is a good choice. \n",
"\n",
"To demonstrate this, let's convert the numeric variable `speed` into a categorical variable, `speed_category`, using the built-in function [cut](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.cut.html). "
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "3c8e9f47-9aea-4bf0-a628-7aa1a66a8eee",
"metadata": {},
"outputs": [],
"source": [
"bins = [0, 50, 100, 200]\n",
"labels = [\"slow\", \"medium\", \"fast\"]\n",
"pokemon[\"speed_category\"] = pd.cut(pokemon.speed, bins=bins, labels=labels)"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "22f78bec-3d18-4133-ba9f-6595d7181ded",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='speed_category', ylabel='count'>"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.countplot(data=pokemon, x=\"speed_category\", hue=\"legendary\")"
]
},
{
"cell_type": "markdown",
"id": "fd508c13-9900-4be1-958f-4f9e9e9b633a",
"metadata": {},
"source": [
"**When you want to show the relationship between two numeric variables**, a [scatterplot](https://seaborn.pydata.org/generated/seaborn.scatterplot.html) is a good choice. \n",
"\n",
"Here, we plot pokémon hit points against their speed. "
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "444d9832-bd57-4238-9ea4-5ee898847170",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='hp', ylabel='speed'>"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.scatterplot(data=pokemon, x=\"hp\", y=\"speed\")"
]
},
{
"cell_type": "markdown",
"id": "03e81709-393d-4c41-bce5-2dffc9cf5553",
"metadata": {},
"source": [
"You can distinguish between categories within a scatter plot by assigning a categorical variable to `hue`. We set the marker size with `s` and their opacity with `alpha`. "
]
},
{
"cell_type": "code",
"execution_count": 24,
"id": "86f9747b-00a3-407f-9b73-0bce40bac50d",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='hp', ylabel='speed'>"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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uhdmW+973/jHPPLNzymu/93tv4b3vvW3G79+5cwfve987uf/+B2hra12AHs4vGfxIkiRJ0hIghCBfsekfKVKq2AR8Go01QcI+jQtxNumWW27l/e//s0m3BwKBBX/sC00GP5IkSZK0yBwP9h4b4XhfZkLm6L3HBB1NMdZ3JFEXuOSkz+ejpqZ2YR9kiZDBjyRJkiQtIiEEe4+NcKQ7Pema43jjt1+2vGbquhEXQDab5R/+4U4ee+xRUqlRIpEoN954E+9//59PWWaqq+skX/rS59mzZxeu63HZZZt4z3tuY8WKlUC1YPlXvvL3/PrXv8CyLNasWce73/0+1q5df0Gej9zwLEmSJEmLKF+2Od6XmbHN8b4MhbJ9gXo02Wc+8wkOHjzApz/9eb7//R/wvvf9f/zkJ//JAw/8+5TtP/7xj1BXV8c999zL17/+bRRF4SMf+XMAPM/jL/7iffT29vB3f3cHX//6d9iw4TLe9a53cPDg/gvyfOTMjyRJkiQtEkUR9I8WZy2S6jge/aNFVrVEF2wT9EMP/Zhf/nJi7a1Nm7bwhS/cybZtV3P55VeOz9w0NTXzr//6fzly5PCU99Xb2822bVfT1NSMpmn85V9+jBMnjuO6Ljt37mD37uf4z//8KdFoDIA/+ZP38Nxzz3L//d/nr/7qEwvy/M4kgx9JkiRJWiRCQKkytxmdUsVGLOC+nxtueBHvetf7Jtzm8/kAeP3rf5dHHvkVDz74Q7q7T3Ls2FH6+npZtqxjyvv6oz96N3fe+QV+8IN/ZcuWK7j66ut4yUtehqIoHDy4H8/zeOMbXzXhe0zTpFKpLMhzez4Z/EiSJEnSIvE8CPjm9lEc8GkLuuUnGAzR2to26XbXdfngB2/j6NEj3Hrry3nxi1/K6tVr+dznPj3tfb3xjf+DW255CY899ihPPfUk99zzNb7znXv4x3/8Hq7rEgqF+OY3/2nS9+m6Pq/PaToy+JEkSZKkReK6Ho3JIHtVMePSl6oKGpPBC5b350yHDh3k8cd/w913f5sNGzYCYNs2PT1dNDe3TGo/OjrKPffczVve8nZe+cpX88pXvpqhoUFe//pX8vTTO1m+fCWFQgHLsujsXD7+fX/3d3/DypWreOMb37Tgz0kGP5IkSZK0iMJ+jY6m2JSnvU7pbI4R8muLctqrpqYGVVX5+c//m0QiQTab4Tvf+RYjIyNYljmpfTQa5bHHHqWnp4d3vvM9BIMhfvzjH6HrOmvXrqOxsYlVq1bz8Y//Jbfd9hfU1zfwgx/cz4MP/pAvfvGuC/KcZPAjSZIkSYvI8zzWdyQBJuX50VSFjuYo65YlF+2Ye21tHX/1V5/kW9+6mx/84H6SyRquu+4G3vSmN/PII7+a1F7TND7/+b/nK1+5g/e//92Uy2VWrVrN5z53By0t1ezPX/rSV/nqV/+ej33sw5RKJTo6lvPpT3+eK6/cdkGek/AuRNrIi4zjuIyOFubt/jRNIZEIkUoVsG133u5XOk2O8cKTY7yw5PguvPkeY8syGRnpo6amCV03zvv+hBDkyzb9o2dkeE4GF23G51xpmrJgr+GZxjyZDKGqc8vgI2d+JEmSJGkJ8DyPkE9lVUt0Ym2viyjwuVjI4EeSxgghcD2PQsXBcT00VRDyaQg8+d4jSdIFsxibmi81MviRJKqBz0C6xMETKUayJTwPVEVQGw+wtiNJMuLDk29IkiRJLwgy+JEueUIRdA3m2XlgcMJfXI7rMTBaZDRb5qoNTTTE/fIvMkmSpBcAWdtLuuQVKw7PHR6eNrCxbJddh4aoyE2okiRJLwgy+JEuaYoiGEwVqVjOjO1yRZNMfnI+C0mSJOniI4Mf6ZImhGA0U55T23S+gqIsYGEdSZIk6YKQwY90yZtrQKMsZEVBSZIk6YKRwY90SXNdl6ba0KzthIBaueFZkiTpBUEGP9IlzfMgGfERDc2cnbUuESQSuDDVhiVJurQpikBVhVxmX0DyqLt0ydNVwdZ1DTy+u49i2Z50PRb2sWV1HfJtSJKkhaQpHqqZw07341ZKKL4AvngjjhHBdhfuHejTn/4EP/7xj2Zs88gjOxbs8ReDDH6kS57nQSxo8KItrXQP5enqz2E7Loau0tkcpbEmhE8VMsuzJEkLRhcWdtceigMn8dzTp0+Fsh9fQzt66wYsb2Fmn9///j/nne987/jXr33ty3nf+/6MF7/41gV5vKVABj+SRLWmjl9TWN0So7Mxiut5qIpAUwSuK8tbSJK0cDTFw+7aQ7nv2KRrnutQ7juGH1DbNuMswAxQOBwmHA5Puq2mpnbeH2upkHt+JOkMruuhCtAVgYKssSNJ0sJTzSyVgZMztqkMnEQzsxeoRxM9+OAPedObXscdd9zOy152E3/5l3/Gzp07uOGGrfT19Y63O3Vbb2/1Ns/zuO++7/C7v/taXvzi63n729/MQw/9eFGew/PJmR9JkiRJWiSKIrDTAxOWuqbiuQ52egClPr4of5T19HQzPDzEt751H5VKhXQ6Nev3fP3rX+WnP/0vPvCBD7JsWQfPPLOT22//LPl8nje84XcvQK+nJ4MfSZIkSVokQoBbKc2prWuWWcwDYG9/+x/S0tIKVGd5ZlIqlfi///d7fOITn+a6624AoKWllf7+Pr73ve/K4EeSJEmSLlWeB4ovMKe2iuFf1P2HbW1tc257/PhRTLPCJz/5VyjK6R02juNgmiaVShmfz78Q3ZwTGfxIkiRJ0iJxXQ9fvAGh7J9x6UsoKlq8gcoi7kOcLVhxnNP9P7U096lPfZZlyzomtdX1mXOrLTS54VmSJEmSFpFjRPE1tM/YxtfQjm1EL1CPZqfr1WP3hUJh/Lbu7q7xfy9b1oGqqgwM9NPa2jb+32OPPco///O9E2aDFoMMfiRJkiRpEdmuQGvdgL+pE6GoE64JVcPf1InWumFBjrmfqxUrVhIIBLn33n+kp6ebJ554jO9//5/Gr4fDYV73ujfyjW/8A//1Xw/S09PNj370H/zDP9y5JI7Qy2Uv6aKmKAqGV0IpFzFHMuhaCFdRcN0z2wgsx8WyXRCCgKHiLfEj7EIISpYDnoeuqeiqkMfuJekFzPJ0tLbNRBo6sdMD1c3Nhh8t3oBtRLGWUOADEAyG+D//51N87Wtf5i1v+V1WrlzFe997G3/5l38+3uZP//T/Ix5PcM89X2N4eIj6+gbe8Y4/4c1v/oNF7HmV8Lylk77t7rvv5pFHHuHee+8dv+2jH/0o999//4R2LS0t/PznPweqhSnvuusu7r//fnK5HNu2beNjH/vYWW3Mej7HcRkdLczecI40TSGRCJFKFbBtd/ZvkObETwl36Cilo89iZYfRdA011khg+Wa85DIqjobtenQPFzjWk6FUsVCEoCYeYGVrnGTYxxJ6+VcJwUiuzJHuDCOZEp4HoYBOZ3OUltow6iK+/8nX8cKS47vw5nuMLctkZKSPmpqmed3DoigCIaqboS/GP3o0TVmw1/BMY55MhlDVuS1oLZmZn/vuu4877riDrVu3Trj9wIEDvPOd7+Qtb3nL+G2qenpa8Ktf/Srf+973+OxnP0tjYyOf//zn+cM//EN++MMfYhiLu6FKWjgBShR3/4zi0eeAseOijoqZO0Cx+yDRy16Etnwbj+4eZig18Rhpz2CevuECm1fV0dEYxlsqnzNCcLQ3y3NHhiac6DAth1S2TG9tga1r69HE0voLUJKk+XUxBjwXm0Xf8zMwMMA73/lObr/9djo6OiZc8zyPw4cPs3HjRurq6sb/SyaTAJimybe+9S3e9773cfPNN7N27Vq+9KUv0d/fz0MPPbQIz0a6EDRNwerZMx74TOJ55Hb/GmfoJLmCNWUT1/XYdWiIbHFyIdPFki6Y7D4yPO1R1v7hAoe7M7LSsyRJ0nla9OBnz5496LrOAw88wObNmydcO3nyJMVikeXLl0/5vfv376dQKHDttdeO3xaNRlm/fj3bt29f0H5Li0e3chSP7pqxjeM4ZA89zYqm4PRtXI8T/bklEUwIRXCsN4M7yzLcyf4sJXPmTLCSJEnSzBZ92euWW27hlltumfLawYMHAbj33nv51a9+haIovOhFL+IDH/gAkUiE/v5+AJqamiZ8X319/fi1c6Vp8xcXnlqDnOtapDQzpVjATg9w5uqPGPui+v8engulwW5qO80Zg5uRTAmX+f15nwvTdknlyrMGYmXTwXRcQv4L/6srX8cLS47vwpvvMXaX2CbkpeDU+/KpPUsLRVXFeb1vL3rwM5ODBw+iKAr19fV87Wtf4+TJk3zuc5/j0KFDfOc736FUqu7leP7eHp/PRyaTOefHVRRBIhE6r75PJRqdWxZPaWYVU0HT1SmvqWO/DI7noAiBqikEAtPv/fL5dMIhHwG/viB9nat80cTvM3C82d9MfT59QV6fcyVfxwtLju/Cm68xLpdVhoeV8/4gfiFaqCDedQWKohCLBfH7zz1D9JIOft71rnfx5je/mUQiAcDq1aupq6vjf/yP/8Fzzz03/sRN05wwCJVKhUDg3F/cruuRzRbPr/NnUFWFaDRANlvCcZbK7tqLlyF8EIhjZ0fGbxNjgY5ju2MnuDx8iXpGy9p4kDyVhkSAStmiXDIvQM9nIMCnKwynZu6H31ARrksqNX+nEedKvo4XlhzfhTffY2yaJq7rYtsuiiJ/ZlCd8VFVBcdxF2Tmx7ZdXNclkylRKk3cAhCNBi6+015TURRlPPA5ZdWqVQD09/ePL3cNDg7S3n46O+bg4CBr1qw5r8deiGN6juPKI6zzQBgxAh0byT778Bm3Vn/LPM/D80AVguDqK3jiZHHakxNCwLKGCJa1NPbQdDZF6e7PMtP7RXNtGJ++cMdI50K+jheWHN+FN39jXJ2pNc0KhuGbh/u7+J0KeBZqycs0K2P/Or/3wSUd/Hzwgx9kcHCQb3/72+O3Pfdc9YTPypUraWtrIxwO88QTT4wHP9lslr179044Gi+9sFiWS2DZZvxDPZR7D0/ZJrTmKtT6DrTeYWDyiS4hYP3yWmIhnRmjjSnMZS37XNa7k2EfqzuSHDg+CoCuKShCYNoOngfJqJ/V7QlcRx6DlaSlQFFUAoEw+XwKAMPwje8/vJS5rsCZ5/cpz/MwzQr5fIpAIHze5TGWdPDzspe9jHe/+93cddddvOY1r+HYsWN86lOf4lWvehUrVqwA4C1veQu33347yWSSlpYWPv/5z9PY2MhLX/rSRe69tJBKhAhvfQW+rr0Ujz9XXQJTNHx1zQRWXI7SsJqKZ3DdZU0c7cnQNZCjVLFRhCAZ9bOyLUFDIjDnCEVVBSXTJVOoUDYdfLpKLGQQMNTxmSVFERRNh0y+gmm5BPwasaCBT1fmmLfDY21bnIZkkKF0iZF0Gcd1iUd8JCJ+GhNB5LYCSVpaotFq6pVTAZBUXbVx3YWZvQwEwuNjfj6WdPDz4he/mDvuuIOvf/3rfOMb3yASifDqV7+a2267bbzN+973Pmzb5qMf/Sjlcplt27bxzW9+c7zomvTCVSKM1nkNsdb1CKeMpipYaghTBDDH1vN9qsKGjiQrWmJYjocAAoaKIjiL7M6CI305Dp4YpVg+PYsU8GmsbEuwvDmC58HBrjRHu9OUzziKHgrorOtI0loXmtMMk+V4HO/N0jOUH7+foVSJ2rifkF8jGTYW9ASFJElnRwhBLFZDJJLAcZZO3rDFoqqCWCxIJlOc99kfVdXmrSDqkipvsVTI8hYXn4UaY6EIjvRlee7g0LSxy9b1DWTzJgdPTv2XnxCwZU0DHQ3hGWeAbA+e2NM3KSP1KYaucv3mZmKBxQns5et4YcnxXXhyjBfeYo7x2ZS3kJPokjSDoulw4PjotIGPAFK5CvtPTD/l7Xmw//jIjMkJhRAMpIrTBj5QLXOx/3gKIX9rJUmSzot8G5WkaQghGMmUqMwQtERCBj1DBTIFc8aNjsWyTTpfYbomLh5He2bPTTU4WiBfXhqn0yRJki5WMviRpGkIAfni1LXBTtE1lVzBxLScaQObU/Ila9oAyXY8ypXZ9ws4roctc8BIkiSdFxn8SNIMdG3qTNKnuK6Loauoc6gPZmjqtJuVFSHQ5rBWLcbaSpIkSedOBj+SNA3X9WhIBmcMbLJFk7aGMJGQMeNmZl1TqIn5pz1hZmiClvrwrH2KR/2LUtdLkiTphUQGP5I0g7Bfo3mGoMRxPMIBg5a6mQOXtobojEGL43i01YfxG9PPNAkBq9riaEugCr0kSdLFTAY/kkQ1sFBUgUf1ePt4dXXPY9OKWlrqw0wVctTXhOhojLB1bT21icn15ISA9sYo6zuTeLMkOgz5NK7a2ERwiiBJVQUbV9TRVBOcY8LExaEoAk1x0YWDOvOKoSRJ0qKR8+fSJc8FRrMVjvZkKJYtVFVhWWOEhmQIv6agK3DlmnpWtsY50ZelULbw+zQ6mqLEQwaqEIDgmg1NpPMVTvRlKZs24YDBsqYosaA+ZeA0qR+uR23Ex01bWhnKlOkezOG6Hsmon9aGMGGfdtalOC4UIQSGU8AZ7cMc7sZzHBR/EF9DJ14wiYVMOipJ0tIhgx/pkmZ7Hk8fHKJnMD/h9pF0iVBA5+oNjcSCBornkQgZ1K6pB6ozOs9P4KUJqI34aEw0jG9sPtvK0a7r4dMU2mpDdDSEx+7Hq2ZKXcKBj14ZIX/gSdzKGXmKChnMkT6M2mZ8HZdjIgs/SpK0NMhlL+mSpSiCvcdSkwKfUwoli+17B6icEeQ4jjtrRWjbdsfbnSvP8864nyUa9YzR3SLFg9snBj5nMId7sXv2M8fEq5IkSQtOvh1Jl6x8xaZrIDtjm1zRZCRblpWapyGEwM0O4pSLM7YrD3ejWlMHmZIkSReaDH6kS5IQkMmbWHOoPXOiP4uqyuBnKooC1lDXrO08y8QrzRxoSpIkXSgy+JEuWXNdlnIcV1ZSn4bAw3PnVm7Dc+1Zs2BLkiRdCDL4kS5JngehOVZHj4X9C9ybi5eHghqMzqGlQPGFZBApSdKSIIMf6ZIVCerEwjOfQFIUwbLGyHltXn4hcxwXvX4Zs03paJEYnm8uQZIkSdLCk8GPdMnSFYXLVtTOWFNrVXuCSEBmhJiJ648RaF4+7XWhagTa1mML4wL2SpIkaXryXV26ZHmeR13cz7WXNbHv2Cgj2dL4skwooLOyNU5HYwS86sSGh6BQtrFdD1WpZmRWBOPfI4TA8TyKFQfHddFUhZBPq+6LeQEv99iuit68nqDup9J/7PTJLyHQI0n8bWuxQ/WzZriWJEm6UGTwI13SPNejNurjuk1NFMo2FctBVRXCPg2/oeA4HkIIRnJl9p9IMZwu4boeQkBtLMDqZUnqYj5AMJAuceBEitGxIEpVBHXJIGuXJUmGZy58erGzPA21YQ3Bmjao5MFxwPDhGVEsVDy5aihJ0hIigx/pkud51fXfiF8jckZdLcfxUBRBf6rEk3v6sc/Y9+N5MJQuMZrt5Yp1DagKPLl7APeMKR7H9egfLjCSLnH1xibqotNXdX8hcBwPRwTAf0aNsxfu05Uk6SIm9/xI0gzKlsOzh4YmBD5nclyPnQcGGUiVJgQ+Z7Jsl12HhrDkpmlJkqQlQQY/kjQNISCVMymUrBnaCIbTZbIFi4Bv+onUbMEkUzQXopuSJEnSWZLBjyRNQwhBOleepQ2UKjapTBmfoc7YNpMzURSZ5U+SJGmxyeBHkmagzKGshSKq+YBm286jqLO3kSRJkhaeDH4kaRqu61EXD86Yv8/zPCJBg8ba0IzLY4oiqHmBb3iWJEm6WMjgR5JmEAvq1MaC0173PGiqDeHTlGk3RQPUJ4JE5lhOQ5IkSVpYMviRpDGKIlBVZUIFd0XAlrV1RMfKYAghUBQxvncnFNC5an0DHU1RAv6pNzwnIn4uX13H2ax5CcFYX5Rp9wmd2UYsoYqhuq5gGCqaJt9eJElammSeH+mSJxRBvmzTN1wgVzQxdJWWujDRoI7iQchQuWFTMycGc+w5MkKhZOH3aWxYXsOyxggBrbrR+abLW+keytM1kMN2XHy6SkdzlKZkCEOb234fIcByPNJ5k77hPI4HyaiP+niAgE/Dc6u5h8qWw2jOZGCkAEBtIkBtzI9fUxZtX5FfqSByQ5R7D4NdRg0nCTZ0YgVqsBwZCEmStHTI4Ee6pLnAoZMpDp1MT1i2OnwyRX0yyBVr69FUZSy7c5GmmiBCCDzPo2cgR6FosWllDZoQ+HWF1a0xOpuiuJ6Hqgg0ReC6cytvIYQgW7LYsW+ATL4yfvvxXvAZKpetqGVZQ4ShTImd+wfJn7HH6FhvhqBf4/LV9TQkAhe8lETASZF/6qeUe49MmOFSDD+Rddfi77yCsitre0mStDTI4Ee6ZCmK4EhPln3HRidd84CB0SKHuzM4rsfRnjRQzddzplNfXzG2rOW6HqoAdWwZ6mxKWpQsh8d39025cbpiOjx9cBCfofHU/gHKFXtSm2LZZvvefm7Y3EIseOH2F/kpkN/5E8p9xyddc80ymWd/SVzT0Tu2YVky0aMkSYtPzkVLl6yS6XC4KzVjG9tx2X9i5jbdgzlyM5z0mgtFEfQOF2Y8MRYNGTxzcIjSFIHPKZbtcqg7jZjnfEKKKvAAx3EnnH5TFCDTP2Xgc5pH/tB2tEp6XvskSZJ0ruTMj3TJyhTMGQOJoF9jNFtmJF2ipS407SyO63r0DudZ15445+Kltutxsj87Y5tQwGDvsX5q4kGMGfIPDY4WKFYcAvr5/23jUh2noz0ZShWbYNCgMRmkNurHp1U3iJdO7J71fuxsCi8/AtHoefdJkiTpfMngR7okCQGm5czYRlUUyqYzp5pc5YozduLq3IIfx/Ww7JkfRxGCiuWM5QqaPvixbHde8gk5Hjx7eJiugSwCUIRLsWzSM5Aj6NO4ekMjNVENt1Ka0/25ZglFAVeufEmStMjkspd0SfI88M9QiwuqS15Bv44xhyPbwYB+XgGHpggMfebyGK7n4ffpMyZdBDB09bzLaCiKYP+JFD39KZRKDnf0JNbgCSoDxyE/TLGQ58l9A5RMUAORud2nLyQDH0mSlgQZ/EiXrGhQJzRD4sFSxSYeNqhPBmZczlJVQVNN8JyXvAB0TWFdZ5KW+gjNdWFiY3mFzpQrVFjTnsDQZg6SmmpDBGepMzabQsWhu38UJ9WLOdyDUyriWSaeVcFKD2ENnqSQTjGYLuHv3MRMM1EAerwOEao5rz5JkiTNFxn8SJcsv66yZllixpkUn66yvnPmD+3O5hiRaRIczkYIMF2PI71Zdh8ZYdfhYZ49PETFdulsiU0Izoolm82ragn5pw9sfIbKipb4eQViALlihfJIP06pMOV1z7GxRvvo6h1FRBsJtq+Z/s4UhfDaa7AMud9HkqSlQe75kS5ZruvRVh/G9aB7IIfPUMcLlJqmTSCgs7IlhqoIBIIj3SnMM45q65pCR1OMtR2J8dQ2mi5wSwXwXFA1VF9wxuPdJcvlid39pHJlhIBY2KBvpMCzBwc5FNC5flNzNWeQEGxaVUdtxM81G5t5+sAgo9mJFedjYYPLV9cTC+rnFfwIAY5VwS7mZ2zn2RZWuYAl/AQvfwlCMyie3Idnnz6xpoZiRDdcj2hchz3LniZJkqQLZUkFP3fffTePPPII99577/htP//5z/nKV77C0aNHSSQSvOxlL+P9738/fr8fgKeeeoo3v/nNk+7ru9/9LldfffUF67t0cVKAltoQZdPh4MlRsgULn67Q0RxjRUsMXVPwXI917XHaGyIMp0sUKzZ+Q6UuHiDkP5V1GbxiisF9Bxjt6cI2TYxAgNply0m0r8AzopMDEiF49tAwqVw1iPG86t6ftrowFdulWLY43J3hJdvaiAR0fJqC67pEAxo3bG4mUzAZzlQ3GyejfmIhH/pYUsXzFVQ9cGfeEA4QVm0UBUpE8G1+OcFV2zCHu/CsCmokgRpvwvIlsG1Z0FWSpKVjyQQ/9913H3fccQdbt24dv23Hjh28973v5X3vex8vf/nLOXHiBB/72MdIp9P87d/+LQAHDhygvb2d733vexPuLxaLXdD+Sxenounw+O5+MvkKQjBefLRnIMfgSIGt6xppSvpxXY+ArtBeH0aIaqDieR6e66FpCuZINwcffZhK+fTJp0q5Qi61k+FjR1hx/S0owcSEDb+5ssXA6NTLSj5NwR+pBvgV06Em7BsPajyvGrQlQgY1kereoNPX5ifIiBoOsXiETDo3bRtFESyrD+GOnYarOCr46lHbGxECbNfFdAEZ+EiStMQs+p6fgYEB3vnOd3L77bfT0dEx4dr3v/99rr76at75znfS0dHBTTfdxAc+8AF++MMfYprVzLoHDx5k5cqV1NXVTfjPMGQqfWkWQrDr8Mh4KYnxgGYsgLBsl50HBihUTkcs3lgW5zODDLeS4+j2RycEPmfKZTL0PPMEwjudU0gIQSpbnnGW5lRfeobyE4qtnsl1vXmZ6Zn4uOA3NDaurEObYXP18o4G4j4P73mbnR3HxbZdebJLkqQla9GDnz179qDrOg888ACbN2+ecO1//+//zYc+9KEJtymKgmVZ5PPV/QgHDhxgxYoVF6y/0gtHvmwzOM3MyykV06F/pDDt0XFFEZRHBihkp58hARjp68PJT8wUPdeYxZ0iz5CiCCzXI19xyFdsTMdFVefv19nVQzToOa6+fBmJZHRC1fhg0M/6ta2srQM9EsOZQx4kSZKkpWTRl71uueUWbrnllimvrV+/fsLXlmXx7W9/m40bN5JMJgE4dOgQiUSCN7zhDQwMDLB69Wo+8IEPsGnTpvPqlzaH3C5zdepDaT4/nKSJzmWMc6kSHsyaE2cgVWRN+9QnqHRdZbC/Z0JwMBUPKKaGiScax+8nHvHNKR9PbSKIoojx16TleBzuzXK8L0O+WN1cHPTrtDdGWNkSm1NeolkJH4GGDuqPPUtyZYKCWk/ZdPD5NAJeGV9xGCPUiAjE0Rb/b6gXBPk+sfDkGC+8i2WMFz34mSvbtvngBz/IoUOHuO+++wDo6+sjl8tRLBb56Ec/iqqq/NM//RNvectb+Pd//3dWrlx5To+lKIJEIjSf3QcgGg3M+31KE53NGA9mKwQCsy+P+gyNSCQwbaCiqgL9ectDQigEEkmUWCO2Un0MN5gkGg2MB0qG36ChNjypWOqZNFVheWucWCwIQL5k8vSefvpHioAY778HnBjIUyjbXHNZE9HQ5DxBZ8uLdeLz+yh37SOQP1o9BlbwUHwBfMtW4mtcgWKc/+NIE8n3iYUnx3jhLfUxviiCn3w+z2233caTTz7JXXfdNT6r09TUxPbt2wkEAuh6daPqZZddxt69e7n33nv55Cc/eU6P57oe2Wxx3vqvqgrRaIBstiSXCBbIuYyxoSpUyhbuLJuEo00RcrnSlDM/iiII1jRgHTx0ui+aTqRjHUcHTU483Uu5XA1ulq3TOJnvZk17HJ+mIASsaYvz+O6+KUttKEKwdnUduoBUqoAQguP9OY51p6fta1fJJBYyWDvNTNXZElocpeMqjEoWHBvDb2ApfkzFT7lgQ2H62mjS2ZHvEwtPjvHCW8wxjkYDc55xWvLBz+DgIH/0R39ET08P3/zmN9m2bduE69HnFUpUFIUVK1YwMDBwXo+7EDlJTm0ElRbO2YxxyKeSiPoZSk0f6OqaQlNNCNOc/th3oKYRfyBAqVi9n0jHWnYcSjE0dLpQqT8UwvQ0Dp4YJZ0tc9X6BjRFkAjpXHtZEwdOpBhOF3FME+FaJKN+VnfU0lTrx7arldQrjsPe46PkShaqomBoCqoiJp3wOtaToa0+jD5vld0FqDE0n0I4EaKQKmDPMB7S+ZHvEwtPjvHCW+pjvKQX5TKZDG9729sYHR3lvvvumxT4/OpXv2LLli10dXWN32bbNvv37z/nJS9p/gjBrHWoLqTn90cRsHllLcFpsjOrimDzqjpCs9QAE/4InVuvQdN1grE43Rl3QuCjGTqxxhY8Uf11G0wV6R4ujCdUjAV0rltfxy3rwty4QuNFyzW2xoaJdf2G8t6H0fI9DKYLHDiZZs+xEboGchzvy3CiP0u2aE6qLFEoWbMWSZ1tbJa6i62/kiQtLUt65udv//Zv6erq4p577iGZTDI0NDR+LZlMcsUVV5BIJPjQhz7ERz7yEXRd5+tf/zrpdJq3v/3ti9fxS5xQBIWKTSZfwXY8Qn6daMjAUOcnAd9Z9UUIbNclW7TIlyxURRAP+8aTE0YCOjdc3sLh7gy9gzkqpoOqKtQmAqxqi1MT8c2aO8dxwF/fyfrfCjA6nGbHEydwXA/d0AnFY4QSdQhjYn2wYz0Z2upCqEKgKi5u335E1wFOrZJ7Y/+5doWenb/BbtyApzVMiHMqlkPvUJ7GmhDx8Ol+zjUomG1sliJN8VDNLE4hA56DEojg+WLYwpi3HEeSJL3wLdngx3EcHnzwQSzL4m1ve9uk6z/72c9obW3l29/+NrfffjvveMc7qFQqXHnllfzTP/0TtbW1i9BryfZg75ERuvqzE2YfoiGDjStqaYgHLtiHlFAEQ5kyzx0eHs/lA9WlrJa6MBuW16ArENRVLl9Zw5q2OLbroQhBwFAReMy1q5brcTwfxBcJoyQsauIejgclR8UxVSL6xDsqli0sx0PVBFolS7bn8NT367gMjeTRynuIb6ijPhHkRP/pWSUPGEqXCAd01LFlrljEj3+Wwqanxmb3kWHSuYlj01wXZuPymnlcNpsfPq9E5dhuiqP9eM6pvUYCLRIjsGwDVqB+zj8vSZIubUsq+PnsZz87/m9VVdm1a9es39Pe3s6dd965kN2S5sgFnjk4SPfg5JpQ2YLJE3v6uGZjM/Ux/4IHQELASK7CE7v7Ji0BWbbL8b4sZdNh27oGVAGu4+HTFMbPLnkec+2hELD/eIqDJ1Msa47RNWphn7HRTwCNhImHTs9OKIpAUD0pZg30Tl1KQgiKZRPbdbFzWaJmhlXtcboGchM2aduOS6FiEwtW739lawxVTN4LdGZ/R2cYmxNnjI22ROIfgwqlwzuwMsPPu+Jh59Lk9z9JeN21WP4aGQBJkjSrJb3nR7q4pPKVKQOfUxzHY++xEewL8OnkerDv2OiMe1/6RwqMZMvnvXckV3Y4MnYCq1KxaUhOTJPgAcPp4oSAqCYWwK+rCCGqSziA4gughaKogTAIUd3kfMbGYjufQXhwxdp6lOd1+lS7VW1xmpLBGYNLF9g7y9gMjBQYyZz/2MwHIQRednCKwOc0z7aodO9HFUt3g6UkSUuHDH6keaEogmO92VnbpbNl8iVr1nbnq1CxGUlPXW7iTEd70kzaMXwWFEXQPZjDGdsjk8qVWd0enxQ0WLZL2XQQonqEfUVrbKx8BSjhOGb9Wk7QzHP5OIesOoq161BijSjKGb+iqsZgqkjA0HjxtnZWtMSIhgwiQYP2xgjXb25mfUdy1mdTKDtzGpsjPenzGZp5o+JQ6T82azszM4xqzpxpW5IkCZbYspd08XK96imj2XhAuWITGysgulBMy501fw9AsWxjux7TlM6alaIIcsXTSQorpoPruFy5toGd+wcn9MG0HRTFYOOKGmoifvA8bNflcCHOvqefw7JO58zZryi0NNewbvkGRp95CqGouIE4lWGbIbOIpio014ZZ1hRFQbBueZKwoc5pyce0nTmNTbliYzke2iJP/wjXwrXKszd03epeIPmuJknSLOTbhDQvhKhmI56L52dDXgjTFQJ9Pk1VUBSY8waf5/E8MJ73fAZGi9TFA7zk6mUc780ykqlmY17dnuSy5cnxvTmKIjjQnWF/dx5HaMDp4Md1Xbq6h3DcWjo6lmOaDn2F021sxx3PT9RYEyKozy3wAdDmuJFZVRXUJbHupSCUOb5mhJzMliRpdvKdQpofHixris7aLOjXCC/wrA9AyK8RCc5euqKtITL+Aa+qCooqUFUx570ujuPS1hCZdPtQukR3f5a6uI9NK2rZsrqObevqiY49d1VVKFkux3rSuEJFTzYh9MmlIvr6RvA1dqK3b2AgNXn2ozYeYMvqurNanQr6NCKhOY7NEjjx5SgGek3zrO20UBTPF74APZIk6WInZ36keeF5HvWJAJGgMWEZ6PmWt8YJGOqCpz03VIWV7XGe3j84bZugX6OpNoTjemSLFsf7suSKJrqm0NEUIxn1Yahi1hmVWEinLhGclCnadT1G0tWAZXlLHL+uUDFdhrMlegbzqJrCsb4c8YgPv+5Hr2uDSgG7kAHXRWgaaihOb8nPxuX1XOOPcrQ3g2k5+HSVzuYYNTHfWS9LGZrCqrYEO/dPnwU96Ndorg1d8LxMU3FdD19NG5X+47jmdMtfAn/zShxhII97SZI0Gxn8SPPGpwqu3tjI9r0DE/LqQHWT78q2OMubohek3ovrerTXhalUHA53pYiGDTRVxfM8imUbz/PYtqERXVPYdWSEE/0ZPASe6yGEoH+kSCzsY9v6BsK+6pKSogCKgm271SU+z8N1PVQhuHJtPTv2DzCcmriRWAhoa4iyYXmSTMHiyT39CCFIRA1My8G0HU72Z4mHfdTGAyj+OGogVv0AFwqO65Evu2iqoDHhp6kmgON6qGNH5W23umlaVaZOIKmqIFwbEHiKjuO4uK5HW32IslnDgeOj45u1TwkHdLatbySgq3NOSSAEqMJDeC6eUHA8ZV7TGVh6hNDqbRQPP4VTfl45EkUl2LYGL9G2JII1SZKWPhn8SPPG8yDi17hhUzMjuTIn+7NYtkc87KO9MUIkoJ3z3ppzIage/Y5H/Tx3ZJjuoSyqqrB2WZLO5ijxoMGuoyMc7c1QMh1S2TKW7aIogljYwHY9tu8d4PpNTXge9AwWePbgEIWyRcCns2llLW31YQK6wK8pXLOhiXS+MpYnxyYcMFjWFCUW1LEcj+eODFMTMxhN5XluXz8tTTWk03lqEmFM22E0V6E26sd1x3o/FjwE/TqeV/3SczwUBbJFm5MDWYZSJfA8amIB2hsj4/uJVOGiVtJYgyew8ylAoMfr8dW2YhkxXBdWt8Zprg3RNZAjlaugKIL2hig1MT9+be7Bi04FcsOYA8dxzQpCM/A1LENE6rAU/7xMxLiuhx2sI7j+RtzcENZID7guaiSBnmzBNmLY7uIv0UmSdHGQwY80rzwPdFXQlAjQWhsa/+BzHPeCBj5QzWez+8gIx3rSCEUQHKvRdbQ7TfdAlqs2NnGiL0PfSIFsYeJSXbFsYWhlHMdlKFPmyb397D8+On5dVQT5UoXOpjiXr6kj6tfQXI/aiI/GRMOE5y2EIF2o4NM8Hnp4D6PpAgDxaJBSyWTfcB+N9VHqaiLYrjthk7EQ0N4YOT1bJuDkQIFnDw1NyBuUylU42pth4/JaVrWGoe8gua4D4J1uY+fTlPuOElq+GeLtuJ5H2KexsTMJVPc5OY43dgR/bj8sn1ukdGQ7VmZ0wu1WZggtHCO4ahumFpm3AMhUgoh4B3pN59h9elQc74K/tiRJurjJDc/SgvA8sG0Xx3EvyDLX86mq4GhflqM96WqNLNcb/8/zPBzH42hPhsF0eVLgc4ppO6RyFZ7Y3T/hGH9LXYit6xpxPcFvnuvln36ynyf2DTCar+CJyc9bKJDJlfj5o/vHAx+A4yeH2bSqDgT0DWZJZ4uTlqBa6sLjm6QBUnmTZw4OTgh8TnFdj91HhxkcHKXUe2RC4HOK59gUjjyDVjkdrDiON16B+WyWqjThUD7+zKTA5xQ7n6F0ZCeaN795nTzPO2OMZdQjSdLZk8GP9IJUMh2O9WSmva4qgmLZZjRbxqdPfYxaAK7nMZIpoY8d42+tDxOPBHjoiRPsPjLMULrE0e40B7vS/OrpHvYdT+E9b/VFVVWGR/OMpKqBj6rr6IEgQzkL13W5dnMrAb/G4FAe23bG+9feGOXyVXXjv6RCERzpTk8KkCb02XPYv/8EIlIzbRvPdbAGjp33SS6lksVMDc3YxsqOIkrp83ocSZKk+SaDH+kFqVRxZky6aLsuPkMlk69Mm3dI11XyRQtDV/Go5gRqrgvz6K4erDNmXjxgNFNGVQUHT6boHS6inBFYCMWjuz+FqmkYoQiW0MmVHLJFh+37BkjnytxyVSdXbWxkVVucjStq+a2t7Vyxum5CTp6y6TA0S2Zm4VgMDwxT1mZOO2Cmh1Cc4oxtZqIoAjs7NOXs0vNZqb45512SJEm6EOSeH+kFyZll+cZ1PSzbJRnzA+A3NAxdRRHVYMa2XRzXwxYeLfVh9h8fpbkuxLHeLPYUSy3V2ZjqvpkDJ1MkYwFc18VQBcL0CAUMhBEgnatMyK7suLD3yDCHT6ZZ0Rbjt7a20ZCMVk8tPe85uB5zOs3kOg7ebMffPRfheedXvsKxZ28D4FhUH0guUUmStDTI4Ed6QTJ0BVUR0y4ReR6kc2WuXt/I/hOjDKVLDA+Xxk97RYMGyZifTW0JRjPVU2CxkI8jPVMv88RCBiXTYTRTYt+JUQJ+jV2HhmhvjLJ1XT21iRB+n0Y6N3WeGsdxUBUFv65OG+DomkLAp2HZ0+dR8oRCIBxCc6dvA6AYATzVOI/M1h5acPaklgBqKD6nchqSJEkXilz2kl6Qwj6dumRwxjaeB8uaIixrqh79LpsOztiMUMVyqIn6Wdkaw+9XqZg2iGrZieeLBA10TeVEX5b+0SIjmTJls7pZ+tlDQzy8s5u6ZJiIT9BSH5lQDkMA4aBBR3OMxrifeMQgYI0QNAcJ2Cn0M/48MVRBR3Ns5uek6izraMYojszYztfQgSPOPdO254EI16D4AjO2E5qOEmuQ+XckSVpS5MyP9IIk8FjfkSSVLVMxnSnbbOis4cCJNPuPjbCuI8GVa+spVmwMTUERgt6hHI/u6uVFW1rZf3SUsukQD/vIFU/vJVKAjqYog6kiplXdZxQN+6rB0hjb9egeLtDWFOPAkQGWNYVxXIHjuhiaimlWWN8a5mUbfJSf/H/kB0/g2iaqP0SgbTXB5VswQ03YtktrfZiewRwjmalnkMJBH6tW1sCBo9OOjR6rRUk0Y59nQGKrAYLt68gfeQamCAoRgkDbWmw9XM07IEmStEQIbz7TsL5AOI7L6Ghh9oZzpGkKiUSIVKqAbctPgfmkqqBaBRTXxOfTqbgalhLAcaqFQ9MFkz1HRxhKl8ZnHwI+jWVNUZrrwzz8VDf5ksVQukSxbKFp1dIbmqpQE/MTDxlsWl2Hz9B45sAgPp/GL5/qBqolINobIggB+aKF43kIYF1HknBQJ1swGUqVMDSFnsE8l6+upVQq0dWbIV+xEWP7YK5Y08B19Rn6H/0hARV8hopwLXAdwEMJJUjc8D8ohZpxXag4HvuOj9A7lMe0qq8nXVNorAmxvrOGkE9Bt7KUT+7DSg9WK50DQjfw1TSjt6zFFDPP2ExlqtexKjyUXC/lrgM4xSzCcxCuiRqI4G9dC7WdVJyFL2T7QiDfJxaeHOOFt5hjnEyGUOdYYFvO/EgXJSFAdwpYPYcoD/eCY2IFDExPQ69tx6hfjukaxII6125sIl+2KZs2iiII+TSCPpWTg4Wx6urVX9igX8d2XDRDHav2Xt3A3D9c4Iq19axojeEzNMoVm56hPAGfRq5oMTBaQFHE2KbpakmKXzzVTSpTpq0pwpVr63E9GMmZ1MbDrFwewLYdbMfF59PYtkwh9auf4loWqqHjFdPYxQyuWT3ZpSi9ZPX/IHHTmygZ1YSEW1bVsaY9SbFi4XnVYqUhv4bnetUASY2ir7gKv5nDM4vVATNCOHoYcx7fjxxP4EVbCa6rRcn3Y2WGwfNwbJti/wmU9DC+ljXY/qRc+pIkacmQwY90UTKcIsWDT2Dnq7l8Th0td8tFSif3YRQzGB1bsDwD8Aj7VMK+iTMQhqHSUBsila0QDvroGsgyOFogGQvQ3BAmMFb9PBHzc7w3y+GudLVmWFOUZNTPY8/1MpIpE/DrxMM+dE2hPhnkwd8cJxLUiYYNjnRn6B3K847XXMYzBwa57yf7iIZ85IsmmlYtJ7FByTPQN0RjMohi5rHS/RP66boW+UM7CK69Fl+NhaU34LkeAV0hcEYleO95wYXtCmwtCmcee1+AP8QEDvbQcYon9lWDrDOPvxey2NlRQmuvxvLXyJqjkiQtCTL4kS46iiKweo+MBz5TMYd7MZLNiFj7pKzFtuux5/goh3uz/PqZHoplG7+hsqI1xu+8eA37Tozy1P4BUrkKkaBOW0OEppoQK1piDI4WyOYreEKwYXktAZ9GfTLI0Z4M+4+P8IsdIwghyBUtYhEfmiowLZfBVJH+0SIg8DwP1wPT8miuDWMP78MDKqaNYeenfkKegzXSg5kdInjZSylWzj6KUJSpt+acL7WSJde1H5h8PB/AtSqUT+zBt+Z6LOQSmCRJi08GP9JFR7MLFIa7Z21X6T+GL9Y84QPX9jy27x9kYKRAxXbxGxrFsk3ZdDA0lR37BkjlymTylepymKrguh5HutP0Dee5YXMLioBfPt1NsWwTD/vIlyx+saOLhmSA6zc34zM0TNMmFvGzojnGSKbI7iMjqKpgXUeS4XQJ2/HGjq6r6J5G2K9jV8q4vgCQZ8oz6IpC8egegp2bQG+Y01jpuopZKTOcrZDNlfAZGjXxAPFYkEr5/CMhVVWw+7pmjaqs3Cj+SgaM5Hk/piRJ0vmSwY900RGuhWtOfdrpTE65gHAqoFSPvAshGBgpMjBSQAgolC1qY35KFRvP86hNBHnw0WM01gSJhAzKpkNDMshwpkTYr5MvWRw4mWLr+gaK5eom4lBAZ3C0yNb1DeDBsweHGMmU8QBdE3Q0RblqQyMjmTJHujNEgjrNdaHx4/Sj+QpaZwflfTtRPJdw0I+manjO87JTKwZatIZSz0E8swxzOKVu6ApHuod5+Df7OXm8e3xSJp6MceUVq7nmshY4j+PuAAIXKzd1ba8JPA+3XED4knLpS5KkRSfz/EgvXELgnZHC2PWqxUzPaMBAqkhrfZgta+o42Z9FEZDJV2iqDdHZHMV2XErl08fWuwZyKGLifTbWBPE8j+37+imULTRNQVFAEYJMweTp/YPEwgZNtUEsx+VoT4a9x0Y50p1h+54BUloNgXgNjuti2S4E4jw/9XKwcyOV4T5w7UnXpqLrCke7R7j/3x/hxLHuCQFHejTDz366nZ8/cRRFmWOW5ml4iOo+nzkQQpGBjyRJS4IMfqSLjqsF0EKzZxfWozW4un/8a8t2KZarMyqex/jpqN6hPLqmYlku8YifgE9DVxV6h/IIIQj6NRRF4NNVFCGwLJdktHq/mVyFtsYIzx4aQohqm4BPIxwwiEd8RAI6HnCsJ0tzbZhiyZ6QJwjg33dkSV79SgKRBHguJdNF0U5vZDYaOgmuvYbM7l8TaOpEBCITvl+I6j6oM+uJmZUKv3z8AKXS9DNkTz6xm8HRmWuFzcbzwKhpmbWd0HTEHDNCS5IkLTQZ/EgXHUfx4WtaPnMjRcFo6MRxzpiVEEwIEPyGSl0iiAeUKjYVyyFXNMmXLCqWg+14aKqgrSGCz9CqpTJENafOdZc1oakKAb/GUKo0XhzVYywYEdV8QgCm5aAoAkNTx4OvMx3uzvDdHSYtr/gDouuuRoSTKPFGjPrlxK95HdErX87Io/+BW8wS2XA9bqh+7CkKKo5HX6rE3hMpDnSnyRQtXKrH6k8e7Zp5HB2XXft7CQTOffXbdT2UeAOK4Z+xnZFsxDHC5/w4kiRJ80nu+ZEWTXXGohp/e5435zwwruuhJtoINGUp9U2RyVhRCHZswAnWTDja7ddV6hNBjpWqS1+e69HeGKFiOoykS6xsjZHOVwj5NUzLoSbmJxTQGUmXGcmWcRyX1oYIQ+kSluXwsquXsf9EipFMmZa6EF0DeWzHpT4RJBoyEAJG0iX8hkYi4iMaNoiEDIanyM4sVI396SDCt576y9qJ1oRxh49TPLGH0hMPApDY9lICy68kV7IQCvSMFHnu8ND4/iOAvWKEukSQzqYwhqFTqUxf2R5geDSPd55HwGwtQmjlFvKHnsKzJtcU02O1+No2UHHmtjwmSZK00GTwI11wQoDleqSzJn3DeRwPklEfdYkgQUOdlK9mKpanobduJJJooNJ/DK+cQ/EZ+CINaHUdOIEkjjvxw9Z1PTqbo3QN5LCdsczIimBdZ4Ji2aGpNkzAGKE2HiAW9qEqgt6hPK7r0lIbQlEVVrcn6B7KY1oOG6O1vOqG5Ty6q4eB4Tw3XdFC0K9zsj9HsWwTCRlsXFGLZTuMpkvEwgavuqGTPUdGOdSVwrJd4lEfm1bUEQpoHOvLoQidHlsjHHYQR57Gcx1i668ltO5q1Npl5NwQQsBQusKOvf2TCrd6HgyOFhlJF9m4oZOndh6ccRwNQ0NRFc4nAZDretjhJiIbbsQa7sIc7QPXQTH8+Bo7EdEGKvhmvyNJkqQLRAY/0gUlhCBbstixb4BMvjJ++/HealmHy1bU0loXmlO1cctTIdiIvrIBzTMJhvzkK9W8OtN9lseCBlvW1vP0/kFsx8UDeocLdA/k6R7M8crrl/P4c70cODGKMTZT5Hkew+kSdfEA3YM5ntxTTUL466e7ec2LVnL1xkaSUT/PHh5m79ERbLe6zdr1PB57Dq7d2MTK1jj18QDpXJlrNjTwoitayObKlEyH3sE86Wx1740LJGvqiS9vQmtqAs9D+MNUPJ1TEzyuB/tPjE5bsR6gYtkYhp9oJEA2N/2+nsvWNmNZU9c+Oxuu61HRoqgtl+FvXIXwXDxVx/a0SXmWJEmSFpsMfqQLqmQ5PL67j0Jp8nJMxXTYeWAQQ2+mIe6f84em7QrQAqiBEG555ppsnufRWhsidmUr3UN5dh8dpVxxWLMswbLGKCPpAptW1ZEvmuw9NopPV0hEAzTUhOgZyrPj2d4JJ5Z+tv0k4YCG7Xr8ZlfflI/5q6d7uGp9I/myzd7jaUYyJXyGyrqOGoJ+nab6ELmcyVC6hCIEq9oSWKaHqcSrd/C8oSpUHEYyM29U9vt08hWLhvrEtMFPc1sTbQ1RLGv+ghPHcQGjeiDNhTlFsZIkSReYDH6kC0ZRBD1D+SkDn1Nc1+PgyVHqYk1zONA9d6oqcNzqkpsAwj6NzqYox3ozdDRFKZZNduzvx3GqszbtTTHqkwE2rqilazDHwzt7yBcn99t1XQ6cSLF+eQ2JiI9UrjLhuk9X+MPXbeSx3X0c68uQK1Q3U5uWw0+3n+TKtQ1cs7GRUsWmtTFMbSxIfdw/49Kf7TizHhm3bY94xE99aydHj/ePBSWnNbc18fqXbyEU9GHNvC1IkiTpBUcGP9IFY7seJ/tzs7YbyZQoVJxJtbjOjSBTNDnelyVTqKCI6umthmSQ0VyFZw8NT/oOj2qun9F0CUNX2X98lHBAnzL4iUf8DKZLBHqzrO9MMjBaJJ2vYDsehq7wyms72HO0Wi5DIFAEaIpAMTQc12Xn/kEMTWFdR5JgQGdFcxRnlkrIqqKM1YOfmaZpXLa6gabal7Jrfy/DqTw+Q2PjmmbaGqIy8JEk6ZIlgx/pgnEcb3yj8Uw8DxzXhfOsA+UBe0+McrgrNWGmZDhdIujXWNmeJBb2Tdh7dIrreoTDBuWKg2W7GPrUfYlHfAylShTKFuWKTe9wgXBAx28oeJ5LOGTw2HN9+HQV03bw6yqqItAVBSFUPA/2HB3h2suaONqdorMxik+dec4r5NdIxAKMzrL01dEURUGjNh7ht39rA57roqgKluVgWd4FCXwURWA5HmIs6JOV3SVJWgpk8CNdMKoqMDSFmXflVD8wNeX8UlApiuBwb5ZDJ1NTXi+WbZ7aP8Dq9gTb9/ZPul6u2CRjfnyGhqGrOM7kD+1ISMd1PTRNIRI0GM2UsGx3fOlrVVuM7oFqodKyaeMzVPw+DdNyKVYsPK8aEPh9Gt2DecLBap0wX9iY8bmpQrB2WYLHd5enDSYiIYOmmtD49VLp1HH4BahsOgUPSBdMjvZmyeTKCCFoqAnS3hAlEtDmdKJPkiRpocjgR7pgNEXQ0RwjdWBwxnZ18QAhvzZlhfC5qtguR7vTM7YRVDdZJ6N+RrMTc++YtkOuYNLZEiNbqLBz/+k+CwG18QCXrazBtj02LK+lIRlgx/OCKL+hU6rYCFFdqgoYGulcBdf1xpasPCwEZdMhWzDZtKIWx3HRMcFzQNFwhDEewFRnUVwcx6M2HuCKtQ08d3iIijnxtFYy6mfr+gbCqonnuniaD8e7cKUlqjNuKQ6fTE1YmsvkKxztznDF2npaakLyFJgkSYtGBj/SBeO6Hk01QY5Os9QE1Srqa5YlEXjndU6oWLHJz7CxGsDQFEzboTYWmBT8QLXwacBQuXpjE4OjJcqmjaJUK7PXxQPsPT5azQPkeZQqFtdtamYoVeLZw0N4XvXDfnV7HM/1iEarz9l2XBzXGw+AqstBCqGATu9wlk2tfkp7d+A5Dopu4Ktfhp5oIesadPXl6erPYtkuuqayqj3OjVtaSWfLpLJlFFWhuTZE0jARA7sopofwPBc1EMbX2Anheqy5VEQ9D4oiODGQn3bGzXaq+5wiV7QS8cu3H0mSFsec3n16e3vP6k6bm5vPqTPSC59PU7hmYyO7jgzjui66plXrZdnVvTWr2xPURH3nvSwy1TLV87muRyRssKI1zmCqSCpXwfU8hBAEDJWNK2rZvKoOTREUiiY/f6qbZNSH68G//vwQqipY2ZogGjIomzYn+nIkoj6uXFvPjn2DnBzI8ds3dNLeGKFQsjFtF8tyJwR1ngf+gEp9IsCvH9vHumQbTj6H31ApFIrk0ykCsRNYTZvZdzQ7ntsnFIB80cZ2StTE/bQ3RtCEhzt0lMKBXeC6CCFQsfFKo5RHuzCaVmAsuxzTPb2spmkKJdOhYjkgBNGgjvu8DdfBoIGbG8YzTbIlFV+0Hvt5bRRFULFcHNvlQFcKIcSEmR0hIBHxUx900BQo5TIkInXY1sT7URVQ7SKe54Ki46j+S2KfkKIKylY1hYFluxiqMumEniRJ82dOwc8tt9yCmGPlZoB9+/adU2fuvvtuHnnkEe69994J9/XpT3+a3bt3k0wmefvb384f/MEfjF93XZe77rqL+++/n1wux7Zt2/jYxz5GW1vbOfVBWlieB0FDZWVrnL3HRznRncZ2PWqjAdZ1JqmNzXzMe64MXUWZwwbbSMBgWUOE1960gu6hAiPpEgGfSmdznNq4n4Ch4Dlw0+UtrF9ew1C6zH89dozLV9cTj/hQhEf3QA7bcqmrCaIqCus6k2xcXovfp7G6LYG1zeX+nx3A8ybPZgkBL79mGQcP9aCpgnyuBEWLgydSZAsmlu0Q9A+zZiPcetUN/PKZfjqbopi2xxN7++nqz6KqCqvaE/z2ZQE4tgvFddGEjVdIYab6cctFEAJr4ChRTcXftoWyrVBxPPacGOHpg0OksiU0VWVZU5Qr1tTTlAygKh5aOUV21x5S+3dSyqTQfD4SneuIrbkSatuxKh5F0+ZEf46ugRyNtWF2HRoiHPSRiPgwNIWQX2NNrYs7fJjikT4qtkU+GMR21mDUL8NSIwg8tPIIZv8xypkhvFMZouvbMWrasJTAC7IivKIIciWbY70Z+kcLaLqGazs014XpaIwSMFS5PChJC2BOwc9nPvOZ8eAnk8lw++23c+211/KKV7yCuro60uk0P//5z/nlL3/Jhz/84XPqyH333ccdd9zB1q1bx29LpVL8r//1v7jlllv45Cc/yTPPPMMnP/lJQqEQb3zjGwH46le/yve+9z0++9nP0tjYyOc//3n+8A//kB/+8IcYxswbR6VFIKobkXcfqS4NBYzqS7BiWjy9f4D+4RBXrqlHU84vy0/Yr1EXDzAwWiQW9hEJG2hqdd9LpWIzmi1jWg6tDRG+/98HOdGfJRn1Ew3pDKZcnniuD79P4zUvWkFjMsDDT/YQDhjkSxbhgIGmCo72pMnkTaIhY7wKPIChCV5xXSeKAsd6M6xqj/PbNyznp9tP0Ddc/cseoCER4KYrW4n4FQ4dTEMxhW1HeXrfIKZpIYCgX2coU2Lw0d1sDnfyoiuW8etnevnZEycmbF1uKVY48Mwh/IUMnY0h7IFjmKmBCWPiWqNknvov4noAL7maHz56ksNdZy5P2ew6PMTe4yO8/sblbKi16PrpP5M6eUb9tJwgPzxA/+4drHzlm6FxHb9+pme8vpjrupi2y2i2RLZQYfWyBOuSZdK7n8Q2Ty91ll2bYtcB7OFuQmuvxi3nyR96Gs85XafMsS2Kx/egDfcQWH0VphI6q9eAriuolTTCNkGA54tiYnCepczmjaIIhrJlntzdT2Ws+G1AKJRKFvuPj9I1kOPay5qI+LUXZOAnSYtpTsHPG97whvF/v+c97+F1r3sdf/M3fzOhzatf/Wo+/elP8+Mf/5g3velNc+7AwMAAH//4x3niiSfo6OiYcO1f/uVf0HWdT33qU2iaxooVKzhx4gRf//rXeeMb34hpmnzrW9/iz//8z7n55psB+NKXvsSNN97IQw89xKte9ao590O6MNIFkz1HhsffzJ//V23fcIEjkSzrlyXOa9pf4LF+eQ2RkEHvcIEdewfIFU1URVBfE2J1W4JYxKB3KM+J/iwAo9nyhL0/xYrNf/7mGK+9cSWlsk1NzM8zh9JYtovreeOnuvJFk1jYhxAQCugMpUvsP5Fi79ERhlLF6ubjgMEbbl5N2bQplm1CAQ2frtI9mGPv3pOUR/vBsdFVgTIW1nhUT535fRqlik16cAAnWMPju3onndmqDUF5cIhMvkDC7xEuZqYcFzszgp0dZrTko3uanEu27RILwMjOn00MfM5glfIc/+m/suIN75xQWNXzPAJj/bUdl3q/TfbgzgmBD4ChqaiKglMuYh7eDoHohMBnQn/yacyTe1CXb5tUr206ATeLeWQPhWO7sfJpFKFg1LUQXHkF1Cyn4i7+fqOSVd3/VJmmvEihZPH0gSGu39TE+Z19lCTp+c76d+rRRx/lFa94xZTXbr75Zp5++umzur89e/ag6zoPPPAAmzdvnnBtx44dXHXVVWja6Teqa665huPHjzM8PMz+/fspFApce+2149ej0Sjr169n+/btZ9UPaeEpiuBYTwZ3lj9jT/RlKJnnV2/K88BvqPQMF9h/IkUmX8FxPUzbpX+4wK5Dg3guHOubOkg4JZWtcGIgS10iAAhcz8NnqBOCJNut5i+KBKszjX0jRUzLoVixiYR8dA3mGcmW+e6De9mxt5+9R0fYuW+Qn27v4uDJDE4xh2tZNDYk0EsjKGcsMTueh+d5qIqgIRHg8T19Y4VIJxJUq9QbGgwOjuIFkxOvqypKOImbbMeKNlMomly5tnbK/EUa0KgXGNz/7IS+PF8xM0q59zBb1zeO35YrmHQ0RQEI+XUiXpZCNjcpW3ci6geq+6sqgydQFAFi+rcjMzWAZs6eIBMg6GbIb/8R2Wd+iZUZBsfGtU3KfccYfeTfsY8+iU85/3pm50OIarA9U7ZzgNFMiewUyTUlSTo/Z/3nTyKRYNeuXVx//fWTrj3++OM0NDSc1f3dcsst3HLLLVNe6+/vZ/Xq1RNuq6+vB6Cvr4/+/urR4qampkltTl07V5o2f39rqWMfVuoUH1qXEtN2SeXL1Q+6GZRNB9N2CPrmvmz5/DEWAp49OoJp2ixrjFCxXCzbQRECQ1cxNIXHd/exrCnK8b7clHuDBGDZDsd6M1yxuo5c0SIR9lGo2FRMZ8IHus9QCfg19hwZIeDX6B7Kc/BkiqbaED5DoVCy2LSylr6RAqWyTc9QHs+DSNBgQ32QxjqHTStr8fInKVYmzoDYjouiCELxBLsf7iYc0CcFE9mKoDEaxRrJkc/mcWqSnMqVKPwhKv46RrJlzLyFejLNL3acpHntBi5fXc/RnjQjmdPBXHN9GCszhFUuoSjK9CkHPCh0H6bhxqvGf6aZvElnc4yB0SJ+n4aV7sW0XXxnBFnRoEE4oKOI6s/JKedxC2k0nx/XnCZxo+dAJY/mj099fYymQfm5p6gMnmDquM0jt+cRauvb0aLtM97XQlIUwWCqOOF34dS/n//7kcqWqYvNvdadND35XrzwLpYxPuvg53d/93f5yle+Qrlc5uabbyaRSDA8PMxPfvIT/vmf/5mPfOQj89a5crk8ad+Oz+cDoFKpUCpV3yinapPJzPwX/UwURZBInN3+grmIRgPzfp8Xk1zRxOfTcbypgx+foRILGWiaQsX2KDuQiPjw++b+Mj01xsPpEqO5Ch4KluPgeh66rqKrCrqm4jNUvGyZnsE8rXVh+kaKU96fMjZD4DM0hjMV1nTU8MzBwWpQMCbo14gEfXQN5KlYLptXJ+nqzxIO6Ph0lWzBQtdUamN+/IbGSLZEtmiSjPjx+1TaO6KsipYIpo9RyE/dj3htDTkRwrIdQJ/w+Ioi6M+YbF61AnukBwQIIVAUgTACFPx19PancV2X+PL1HBosYFsOJ/uyDB/O8KItrUCGbMEEQNPV8doZ4oz/Pe3U1x54HqpQCARO/w6m8hVuuLyV0WwJfbjaD01T0VRBNOyjNh44PePkulRUBVVVUHUFT51+Rsbn0/HN8ntpjvRQ6D1QfQ4zqJzcTfzalSjawh79n4lhaBPG7RSfb2KffH6deDx4obp1SbjU34svhKU+xmcd/LzrXe8il8vxzW9+k69//etAdZ3f7/fz/ve/n9///d+ft875/X5M05xwW6VS3TsQDAbx+/0AmKY5/u9TbQKBcx941/XIZqf+EDoXqqoQjQbIZkuX9vFVAX5dYSRlTrqUjPoxdJVnDg4ykimxrDGGoQmS0QBrOxI0JAIzFrN6/hgPZ8oc7kqTypXJFkxMy0FTFeIRP8moD11V8Bsq/cMFljVFx4KKKe5XEbTWhxlJl0hnS4Tqw7Q3Rjnel8Uc26sRDRlkCxXyJZOW+hCJqMFIuoSqKuPtVrbF2XlgkJqYn//50rVsWV1gJFOmYjkM5U0aRJHicIqAUQ3QrDNeJ8FQEP+yjRwZKLO8OU46X8Ed27UrBAR9BpWKzdFchJXtKykdKyGcavZnz5+kbzCL4zgEEnXYsVbSB4cwggHSFhTLFjv29rNxZe14pfjugQz6lfWomoHnWEwc+DOqigkINHUwlKlQKp3+mZZKkM9XaKwN0dq5DEvNYGgquqagqwqu7VAeG28hBK7mB3+U0kg/0+5GVlQM4aOYmjk/uFHIUcmmZ2wDUB7upZgexVLDs7ZdCEJANKhPGDdFEfh8OpWKNWEmMmiopGZ53tLcyPfihbeYYxyNBuY843TWwY8Qgg996EO8+93v5plnniGTyZBIJNiyZQvB4Pz+ddLY2Mjg4MRswKe+bmhowLbt8dva29sntFmzZs15Pfbz85jMB8dxF+R+LyYdTVG6+3MTPk6jIQOhCB5+ugvH8UhGA2iKwHE8hlJFRjMlrlzXQEtNcNZTL47jUjIdBkaKDKaKZAvmeG4c03YZTBUpVWwakgE0TSEa8uExeeP1KZGQzoqWOE+NZW/uHsixelmSW69q5/Hd/eRLJqbtEApotDXUEw7onOjLMjBapGTa2LZLOKSTylaqFeOFoGsgxw8ePkw2b6IognBQx16R5MqWzZRGj9PRbHG4axRV16lpbiHUvoYfPpNHU3p59YtW8B+/OgyArikE/Xo1oPA8njuRJbB6JVddX4d+5GFMVafoqAjVING2GjvWyp69J1BQCNd2crzXxgOGMiU0VcHQFSqmg2nBkB2mbs1G+vfsnHasfaEwobY1/Gj75DxgruvR1Z+jviNKbSSEYpnjP5+JPHx17TiOhztNAApgxGqw9PCsvz86c0sM7nngegvzez5XNVE/Pl2l9LxlTncsCSZQPakY0C/59435Jt+LF95SH+NzPvIQCoWoq6vD8zw2b96MaZrzHvxs27aN73//+ziOg6pWp7Eff/xxOjs7qampIRKJEA6HeeKJJ8aDn2w2y969e3nLW94yr31ZCk7tYbiYl/5rwn5WL0ty4MTo+G2JmJ9Hnu3FcTyCPp2a5+1vcD2PPUeHqYm14psmqj81NooiODmQG5+VcabYy5MrmkSCBpZV5prLmugZrG6kDQc04hE/pYrNSKaMoSm87OpOaiI+fLpKxXKIhnTKZYvlLRE0rTp7JITAslyGMiV27OvHp2uULRt9LFGdT1cpli1UVRD2V0+DhQM6yUh1trJUsXlk1wBdjRGuXbeJ1nZYuaJMtujRk1PYvSNFJm9y2cpa1ixLcO1lzezYO1Bd1hoLIzVFwcOjYClEll+GopYIuh4OEYyhLEf704weP4znedVTT9E4wdEMmUJ1JjWVKxH061RMB0XAYB42bX0JxaF+soOTgxtV99F5yxuwgvX49JNULAfDUPDrGqblUDYddE0hnKghntxC/ugu3Mrk/TyK4cO3cituKQ8j/eBNfrNU/SH8yzZScefwF50RRg3FcAqZGX9ffLUtuFoI7MX7ZQroCptX17Fj78CUBX99hsqWsbQPcr+PJM2vcwp+/uM//oMvfOELDA0NIYTg/vvv58tf/jK6rvOFL3xh3vLrvPGNb+See+7hr/7qr/jDP/xDdu3axbe//W0++clPAtW9Pm95y1u4/fbbSSaTtLS08PnPf57GxkZe+tKXzksfFpsQ4HiQK1rkitV8JfGwb6w45GL37lx4rG2PEwsbHOnOUKpYFEo2luVSlwgSD/vGN+oiBKWxo+FepkLvSJHOpjCKV10dGR+bkkV+1MKfrhDwqWNH1wXLGqOkckNT9iKVK9NaH6I+EeTy1bVcu7mFbN4knS3j92vUxvzEwz4ChoLw4FUvWs5ItsJwukSmYFKxPC5bUYtl2Tz23AAHToxw7aYW6hNBugbyY5XpPXyGhqYqCCGIBg1qEwFO9KSplE18QQ1FQCSgIUSArsEc9ckAIwUfl69u4eTxUTSfw61XL6MhEaKjJUZAhVuubKW1PsyzB4fIFCooQiEU0FjfWcPq9gSeomIs24Q9dIJjh9Ls33MUEOihCL6aRkSoBlBZ25FgYLTI4GgRVShoimBla5yt6xroaIzgaUk6fvttZA48xfD+pymmq0kOa1esI7HhGtS6TixX4SVXLyObzVHIFykUKwT8PmKxEMmIH8PK4hZNwi2deJ5HJTOKmR5GUTWMZANG40osXxzhTxJe56fSexg7O1qtQG/4MGqb0RtWYGrhGZc9T7F8CcKd68nv+iWeXV2yUzQDVB2XsfpmqoZ/2UZKixj4QDUoa0oGueHyFg51pRhOlxBUE3Q21gSr2cMD2iWR4VqSLrSzDn4efPBBPvShD/Ga17yG3/qt3+IDH/gAALfeeiuf/OQn+epXv8ptt902L52rqanhnnvu4dOf/jSvf/3rqaur44Mf/CCvf/3rx9u8733vw7ZtPvrRj1Iul9m2bRvf/OY30fXF28g4XxRFkCqYPHdomJFsafwvWFURNNaEuGxlLQH9whWsnC8CaKkJ0ZQMYrkeu4+Nsqwpiq5WMzILAWXL5XhflpHs6crl4aDOkW4/V65toDbiI5WvsOvwMCOZUrUkRcCgPu7ncHeGeNhHU22IkUyJrsH8pD44jsu2dY34DYUj3Vn++8kTHO/L4eEhqO5Bun5TC9dtasIQgu37Bvjxb45zvO/0cevW+hCvvWklV6ytp2I7DKSKbFpZx54jI1hj5TVURWDoComIj2XNUcI+haMnB8EDHZ1KoYDPpxOMRlnVGiMa8jGULlEZC/oAhlMlDFWhqSZAKGygebCpM0lzXYjeoQKVioPlOIxmSvxie46W+jAr2+IMmG3UrGhGy1c3CZcclVFLJeEo6CroimBZQ4TGZJAbt7QS1FVCAQ1NqS69mKYHvnpi17yK6LqrwLERQkGJ1FBxFCp2dUN4f/cAe/YcJpeuLmeGwwG2rKph9MBJQqo1HqSrqooRT5LYdAO24sPRwlTcsfUnFNxQI8aqevx2AeF5eIqGrYUwXW9OgY+qgq/Uj5toQovWUjr6zOnXnD+EFk7g6kGim2/GiTTC4p52B6rpCeJBnavWNlC2XQxDw7Js/JoyYflLkqT5JbyznE99zWtewxVXXMEnPvEJHMdhw4YN/Nu//RsbNmzgG9/4Bv/yL//Cf//3fy9Ufy8Ix3EZHZ2/DYaappBIhEilCme1Bpqv2DzyTA/laXLeJKJ+rrusCf08syEvJlUVPHd0lINnFMK0HI89x0YmFSbdtr6BdK6Crgped/MqntzdR3lsv4SiVIOf2piPh3d247gQCxu0NUQolm0Od6fJ5CuoikJzfYg1bQlWt8dJ5U3u+8k+TGvqn8sbblpBIhbg77+/k6n27ikKfPCt29i+t58d+wZ4/c0rGcmUOXQyRfdgHsf1SEZ9vOyaDsJ+hfsf2sNIunqEPBbSqBSqrzNFCNau76RQdilVLG69ehnHeyaeWDR0les3NxMP6qQKFr/Z1TNlv03HxXU9VrXF8Vx45vAQw+nTS04BQ6O1ITI+w1YTC3DdpiZmPh81+XWsaoIjR3vY+fiuai0uQNOqSzW5PY9glUvUN9VRWxOfEKBr0QSB1ddg4p/mkc5NyB4l/ct/wkwNEL/6VbjFDMWjT2OlBhGqir91LZHLbsJJLKfizvZsL7xzfZ+Q5k6O8cJbzDFOJkNz3vB81gfxjx07xq233jrltc2bNzMwMDDlNensKIrg4Mn0tIEPVPN/9AwXZs2bs5Q5jkdjzenjy6oqGEyXJgU+ihDUJ4JkCxV8usrju/vG9/WcqWI6NCRD1SSDZZs9R0YYHC2wpj3OjZe3cO1ljcRCBoOpEn5D46dPnMSaJvABGM6Wq0fbVYGgGuyoikBVxg58e7BzXz8bl9cSCRocOpniWG8aQ1e5amMj129uZs2yBJVSCbtUoLkuAoCha7j26Y2u8XgI17YplCo0JENUKs7p4+pjm1dMy2H/8RQIwb5jI1MGPkIIRjPl6ikz2yVbqHDl2gaiodNL0SXTJlswEUIQDuhsWVuHdg4voXKxxN5dB8cDH4Da2ih2/2GscjXYGh4cxbIm/iztbAo31Tevr1vDUKmcfI7ywAlcs8zor/+VYtdBgquuJvmiNxG/9g2o0QbKgydglmPwkiS98J31sldNTQ1HjhyZMsnhkSNHqKmpmZeOXeoKFZu+4cnLNc93vDdDW1349D6Zi1AspFMTCzCSKVGxXAZHJ6cZaG+MkM5VT0zV14R4ck8/q9sS6M974qlsmZVtcboH8xTLNpGgTipXGS9FAdVA6sVXtZMrWZwcyE2TDK96FLlccTjel2N5c2w8GaLneQihoGmCZNTH0d4sfr/OS69uZ2C0SHNdmP96/DhdgzmSET+NNUGOHTyC5tnccNVmUtkytuNSKZiEQ36SMT/hgE537xBGKMyq9jh9IwWG0yVcDwI+laBPQ1MFg6MFUgWTofTUyQAtx63uDQOOdGdY3hxlcKTA9ZuaGRgtcqI/i2m5aCqsX15De30Y/zksnSoKDI9kKRUm/qyak37yz/WMf+06DrlciZoaY8ISTmXwBP5kG+65n7mYQDNTpI9MzC5vDp7AHDwxsV0kSU3nFtDk+5QkXcrO+p3nla98JXfeeSf19fXcdNNNQPWvzd27d/PVr35V1tOaJ47rjRfAnEnFdLAdF3UeM1JfaJoiuGJtPU/s7mc4W5o0o9OYDLK+s4ZnDlRnFXVVIZM3x8pkTIxcLNvFNG2uXFvPs4eGCPr18WAAqjNqV65tIGAoZHIVFDH9dhK/TyNbMClVLCLBAOWKPSFIEAJ8eoiy6dA7VGA0U8ZxXBprgvz29Z3j9cRs28AulRjO5Nj77F5eds0q9hzspxIB17bIp4YoOVEc12PT6kaGUmX2n3Ea7tRzrk8GiQZ1TNuddi+I650+4VYsW6iKQqlic6wnQzRksHllHYoCiqLQ2RRBE9WZJVUV1ePfrjunQEhRFHK5yUGqpoBjnZHHSVExbQdFUXA9Z3ywXbMMjgXK/AQ/wqpg52dPbGoXUgjHOo9zrpIkvRCc9VvAbbfdxsGDB7ntttvGs8y+9a1vpVgssnXrVt7//vfPeycvRYoQCDH7sXZVERf1shdUn2PYp3LD5ia6hqvJ/7IFk4BPY3lLDF1TePbQIOZYMOh5HoauTE48PGYoVaImHuDWq5dRsRz6h4NkChViIYOO5iiRgE59MkD3YHHGfbS27WLoCpqqYlqTgwLPg7Jp4zNU/IaK61TzCA0+VWRZY5St6xs40ZcjFFBR3ChtTTHWrmzG0F02razj+ECWdLZCPBGjJurjqpo4x/vyHO6dPONnOS59wwW0hgj6DGvaguofI57noWvV4++nZAvmeBbnUKB6IKBoOvSNFEhly6iqQktdmGTEhz4WDE3H86oZiifdjkAIBU8ouKqB5XiUbcHAaAGfoRHwVQuaClWdsZbXWVNUFN036x5mxQjO7+NKknRROuvgxzAM7rnnHh599FEee+wxMpkMkUiEq666iptuuml8f4J0fgKGSm0sMO3yxilNdWF8YydDLmaeB4aqsKY1RnZjE8f7MjiOx4m+7ISZG6gWhFzfWYNfV/Fcj1jYIODTMHw6KTxyBZORdIlk1M/Va+urgQvVpRrPYzz/Tl0iQDLqHy9S+vxXbipfYfPqeizHZc+RkSn7PZwucfnqetobwnQP5eloiuI4LgOpIt1DOZpqQrTURth0WYSR4VEe2XGI3r4UiiJobEgQi4bRFIW2+iQ5Gw73ZEBMvSfF9aon4SJBnVjYIJOfnClb1wRBn4aqCi5fXYfiecTCPjL5iVXVV7Ul6BossPfo8IQZxhN9WWIRH1vXNhANaNMGQI7j0tCQRNU0nDP2Lg3nLKL1TYwMpyjkK+BBY4POcKY8FrSqNNeGSbY246j+sZNe58/21xBoX4f13NSpDU4Jtq3BDSZh6gLykiRdIs558vf666/n+uuvp1KpoOsTaw1J508RsKo9wUimPG0VdENX6WiMXvSBz5lsy6W1PszDO7um3ew9OFriFTd0crInQyzip3+kQN9oDl1TqIsH6GiOkcmVWNYYxbZdxifGvGqAcyrLcE3Mx/WbmvnhI0fxXA/L8cYDDE1VUBSBIgSr2xL85tm+Kfti2S4rWmO0NkY4OZBnOF9NjriuowbbcTl4cpTuwTxbVq5n+6/309uXqu4x8qCvfxS3rxpUnezP8pIXb6MmHppQZPRMihDjz2lVe4Kn9g5MmrkKB3ReuikO+UFqss+Qy1dIhJOItmZOZjWGMhXiEQMUwa4DA1MGN5lchcd39/GiLa34ZthMFg4HaF/RxrEDx8Zv6x8pUrNsPYWuX+J5HvFYaHyfFFQ3bQ9kLJKJ1nl93VYsj+DKK8gfegq3PPVJTUU3CK69hoor17wk6VJ3Tu8CR48e5c477+Q3v/kN+Xye+++/n3/9139l+fLlvPWtb53vPl6SPA/q4wE2ra5j9+HhSRlgAz6NK9c2EPar85rnR1TXTXAcD21s6eNcsssqisAd+15VEVN+0BlGdTnJ9Tx8PhWrUg12GhIBXvuilTz46DFypYmzGyG/xouvamd5Y4R8weSnT55AUQS6Un3M3qE8uqbwqhtWEA2o05aKArArDtde1kShZPHorh6Wt8QI+nRs1+VYb5baeICrNjSgKILf2trGr3d24ZzxNBQFXnZ1B+0NEXbuG6B3KI/reTTXhhkcLRIOaVy1vhEPyJRBi9URi+XJZfPYY3trxNhYxWqS7Ng/xPWbW3j4qW6yBXMssKmWxNBUwZbV9biuR8VyaK0JI9ZDz1Ae160GFZbjsDZWpnT0aWJ+xvMfifwIYvgoq9rXE2psYllzDc8eGpzxdVMoWfSPFOhsjOC6HuGgwKoUqeQc/H6dfN7FcQRbNq3Cthy6j3fjeR4lR+GZfli1/goqvQepjQdI50+f9jKCQUKrr+RISmVFc/V1Nl+sWBu1N/8eo4/+O3YuNeGaEgiTvO51uDUrcK1p7mARKYqCrjg4xSy6InCV6cucSZJ0/s46+Nm3bx+///u/T01NDa961av453/+Z6CawOwzn/kM4XB4QhJC6Tx4Hp2NYeriAXqGCgyniyhC0FxXzUwcNNR5/evZdj2GsxWO9aapmA6GptLRHKM+7p91D8gpiiKq+0iGC3QNVk9HhQM6y1vixMMGCqBpMJS12LdvkH3HRnBdl6a6MFeuaaAx6ce1XVY2h3nrK9dxvC/Lsd4MngfLmqKsaImRiBj0DRc51jNKR41GMTVCOV9ECIhFYvijcfYcHSIZaSXsm/5Ys6IIjh5Pce2mJtYvr+HJvf0Mp4sEfDqve9FK2hrDHOvJoAjBzVe0cP2mJnYeGCSdqxAJGVy9vpFyxebBR47QWBfmpdcsI52vsPfoKKWKRbTio60+ysYVNfxiexeDOY/azlXES3kKqVFcx0EP+AnFazCFwcGuNB3NMa5YW0+hbHGsJ4PjQl3cT3tTlELBYiRdQtMUUkWT7uECfSMlCiWLRMTHi1YHcA4/TTyuYaiCmG5TzoxiFovVorLdOa668lYyRh3pXGXacTmlezDLynqN0eEMT+47TC6dQdN9rFjTSUtrPYFIlHJZY9u29axc1cbRI93kbJXRdAmteRVNyzspDnYRCaRBKGg1LVSMBHtHQU2naa0Loc3jfjXLArd+PbWvqMMaOEql5xDgYdR3YrSswgw0YC2xwEdRwOfkcAZOUji5h6JjghHA37EJJd5MiZmr2EuSdG7OOsnh29/+dlzX5Vvf+hYAGzduHE9y+H/+z/9h9+7d/OAHP1iQzl4oSyXJ4ZlO5XsRggXJ/FqxXZ7cN8DIFHuMElE/V61vIDBLfhRFEYzkKzy5p59SefKmimVNUbaureNgd5bv/dd+MoWJszqaELzi+k5u3NyEMvb0NE2huqJanT2y7er+ncd299F97Djp/v6x00sCRVGwbQeEQrKlldVrlrNpRRJ3mtmFsuUwlCnzyK5enj4wSCLiR1OrM1aZQoWaqJ/X3rSScsXmN7t6sW2bqze2EPApVCyPYtniZ9u7iEcMrtvUwn8/eZKeoRw+XUOI6qxOsWLzyus6aakL8aunu0nnTUoVm5a6MAFDo2TadPdnCQUNoiGDVW0J9h0dZnVHgljYjxCQL1ocPD5KMGiwvjNJe2OUf/3ZQSpjp+L8hkpDIsiWcD/BfDeNyQDkhrGyI+O1v07RE42w5fU8+PTojMGsCrz4yjp279zN8R2PT7oeaWrl5le+mHCyhseeG6A1UMIoDKDUtPLYMycZ7B/GtW1am5NE4nFEpIZsyRl/XQT9GjdvacVYoFOKuq5SLQcoxrJVL4F0zs+jKOCvDJN58oeYI/3V5VZdxbYcPA/8zSuIXPEyikpssbv6giGTHC68iyXJ4VnP/DzzzDN88YtfRNM0HGfiG8orX/lKfvSjH53tXUpzUA12FmZvjwc8fXBoysAHqrlzdh4Y4pqNjTNmAS6azrSBD0B3X5bm+gj/9JN95IqT/wS3PY//fOQoiYifK1fXYlnOlL88JctlsK+fVH8feOA41ePdqjJ2zNtzGOnuoj8aYXVbDGOaXwbbg2cPD/PU/kEARrIT99r0jRT50SNHee2LVhAK6HQNlPnvJ6t5Y/yGyuplSbJFkxsub+bXz/TQNVAtfVGq2NUTeJ6Habk8d3iYUsVmeUucn++o7mXK5EfRVEE05MP2qiexklE/9TVBFKWOXNFk3+4+XBfiUR8bVtZSKts010X4r8eOjQc+AGXTIRn0yPR105fJENAVQoUMeN6kV4yZGiBkplGdMrYyfYblzWtrObj3CMefeWrK67m+bh7+yS94+eteSsIwye5/gkohT2y1Tn/PQDUIBXr6Rolm8+iRAiLaMP79hq6iLWB6Bstyltwsz/MZbpHcU/+FOdI/5fVy7xEU38P4L/9tKo5MzChJ8+ms3318Ph/l8tQbMtPp9LwVNZUunFzJYmCWma7hVJFscfLpolMURTAwWpw28AFYtSzB0wcGyRam/1RygUee7SZfnuEvddcmOzQ4YyzoOi751Mi0pw+FqAYNT+2fOSN510COTN7k8tW1GGfMfKljJ8baGyLomsqx3uyE02KKqB5Ph2oV+cHRIrXxwIT9U7bjVXM0KdU8O4moH7+u8tjuPnYdHmYwVWI4U+JwV5pfPNVNMKiTL5rjR/7PpCkCx7bxPJeewQwiGJ/6CXkeml0ibtgoM5zMTBgOx/bsBWf6n2em5yQDA2na6wJUCtXj+W5mkKbGxHgby3axHQ+nlCUeqh6lb22IsK6zZsFmfS4a2UHKgydnbFLqOohaHL5AHZKkS8dZv/tcf/313HnnnfT3n/5rRQhBoVDgW9/6Ftddd928dlBaWIoiGEgVZ93P4wF9QwXUGU7/nJr5mE4o5GPvsZFZN1Af782SLU6/J0X1bDx7+kDsFOFY6N7UgZYQ1cruU81Ajbfh/2fvP4MkudP7XPT5py/vu9rbmenxBt4tsI5ryF1xyT0iqeDhirrS1RVDZIRM8FIfFHIRFM8HhkhGnLjiJaUjylxK50hHWq5IruF6YOExGAzG9pj2tryvSns/ZHVP93T3zAALEJhBPRHkDqqyszKzsjLffM3v59tvXJ4r0BcP8qlHRnj8WD8nptKcmEpzaDTBSH+Ea4tlHNfdko/ZPEKbDauKLFFrmnRMZ4eVB/gilbIkCGgKx6fS/I8fXCcSUJkYiNKfCpJNBhnvjzLcF+bGYpmZhRLpWGDXtjYs0AIB8DwqlSbmPlkdoWhgtTk0GESV9g4wwwGNer2JVa/cVWjq5rU54sno1n83CxscGo2h67eMhXVDZ/LQFM22zdmZDc5e3eD89RxXFst0HHdfhe0HGU2T6axcu+tynm1hFZbvOZXfo0ePe+Md/6J+/dd/nWazyec+9zl+8Rd/ESEE/9v/9r/xuc99jtXVVf7BP/gH78d29ngfse17K6f5I+J736lc95ay8H4IvD2zFrvWxZ3XFVBchgeSgB+8aaqMoSloqoSmyFsZjfHBGPIdBF1sx7unhlvPg3y5yexyBctyCGgyluVQa5j+v+1N5eLd65IkiAQ15taqBA2Vhw/3oW/LIHl4JCIGP/n0BFfnixSrHRzXo96ykIVAkQTtjk2l3sF2PC7PFckkgrs+ZyHfJjAwCYBzhzEhPTOM2aiTstZ49Gg/keDOTK0sCUb6Q+A6YO2d4d2ObVvg3dpvx7ZwVq/z1JkxkskooZBB/9goPzy7xPlrG1i2RzJq0GxZXLie54W3Vqh3nI9gACTw7Hury3m29RE8Pj16vL+8456fgYEB/uRP/oQ/+qM/4uWXX2Z0dJRms8kXvvAF/sbf+Bv09fW9H9vZ433C83yRwHshGtb3zdpIMkRDGqXqHW6Ynm9OmivttkXYTjigYmh36HHwYHo0TrFcp1pr0WhbOI7bHQmXCOgK6VSUoYQGirpnecx1IRkxCAXUbWPluwkGVNKxAM3uGH7ztrLeSDZCo20jpFty3L7pht+cnk2GqDY7uK6vSt2fDPCl56ZYKzSxHIe+RBBJ+FYUN5YqBDSZeFinXGvv2ibP82i0LHR998+23rTIezGiff2YxVWkPbSOJT2INjBFa2MFORhhMBUgFg1RaZhU6x1kWSIVCxA2FGoll3uRGE8kE75txTbatQqafYlHxofQ+o/wwvl1IhGDgXgcVdPAu7XaWsPk3EyOp4737yfY/UDiui5KPHNPy8rRJFZv7r1Hj/eUd6Xzk0gk+Pt//++/19vS4wPA8yAVNQjoCq3O/lkSXZXpSwT395RyPCYGYyysVvcNJGZXyjx5YoBLs3urJW9yZrqPVETH2SdLJAUjpHWbhw5n0RJZgrFEV39HIAuXwtoaAatMPGrgCR28vdeTiGpMDMa4uVKh2bKwt+2bJASGLhMJqhwaTXD+2u7eoEbLolBq8eiRLG/fyLNRvNUwrigSo8kIngdr+QYTA1EUWfCtVxY4eSCD5dgsbzTomA6FcoujkymSUYN4RKfe3DsYMy2HgXQI19l7f16/UeOZw6eZGkqhVWZu5byEhJbMYoweo1Mu4LkOenYc21NQJY90RKcvZtzSdPI8krEA6alD5K9f3fOzAGRVZerQODdurCIkCW/bDdpsNXHXF2gpUeRmnoSmI6sKew3e5ctNqi2LWEDd/eYDim27BLMTSJrh+5ztgxpNIUWzPc2fHj3eY95V8JPP5/kP/+E/8Oqrr1KpVEilUjz55JP80i/9EtFo9O4r6PGhIqDJHJtMcfbKxp5q0kLAkckUQU2+Y79ONKgyMRTn5nJ5z/drTZOHj/bz+LF+Xrm494RLNhnkmVOD+wY+4FdkRGacvv4A564VeOH7F5ldqSBJgsNjCZ57aJjhyQEcHLx9Ah8AQ5Z57qFhCpWWb3nRlRDYrvD8sVPDJCJat7Sze99LtTanwxm+9LEpvv/mEqblNzBvNlSvFhromsxnnxxnYa1Gx3R48+oGw9kwn3tyHNf1aLZtBtMh4hGDC9dzW43Su/bb9ZgYihDYI/MDfnPxtQ2XRz75DEYuhdMo43kekhHEMS1ahQ0820SNpZESgzuCvduDWjkQ5swTD/P9tRWs+t69XMc/9hyJWJALSy2yYwcpze4MlIxQmLVqG8nzkMNJXCHvmUnyPChU2iRC2gOlVn43LCNJ5PjTVN787p7HRSgqkeMfw9Li0BvL7tHjPeUd6/xcuXKFr3zlK3Q6Hc6cOUMqlSKfz/Pmm2+SSCT4z//5PzM4OPh+be9fCh9GnZ/3GyEJVotNLs8Wd/hARUMa0+NJhlNBX5FYCBzPo9lxcFxfBTqkKwg83xUcuLFSYXa5slUikoQgFQ9wdCJJMqzRdjxmFspYtouqyPidLx6m7TDeHyMbC+ySUdiO5Xi0HZf/8hdXeeXCtiBq61QW/PRzU3zy4RFCuoSmC9ZLFm3TRpYE4YBKMqzTbltIisTiRp0fnV/h5nJ1q18mmwzx2NEsxyeSyEJQaVkICVodB8fxkGXfQ8t1XKJBFRBcmCvyysW1ruqyr2w9Phjj0SNZGi2T60sVNFWmPxWkLxFE1+Stcl08rGFaLj98c5litU2x1sG0HDz8Ppx4WCcTDzAxGOXIRIqzVzeYWShSrHRwXJegrnBoLMnTJweJB2UUs4q1MoNdWvHtHjwQRhA1PYoyeBhT7G6avp1AQLC6tM75195i/dplvO53Eh0a4fDp00xPj9DxdNZLbWrVKoHqIrXlG3QadXRVZnBsmGtmHys1cNXQHStoJw6kOTgUu2vwI0mCju3SNh1cDzTFP//u16BJl2y8tcs0rr6GVV73dX5sDy09SHj6CZz0FJbTa3Z+r7gfrsX3O/eLzs+7EjkslUr8m3/zb8hkbtWs19fX+Vt/628xOTnJ7/3e772zLf6Q8VEMfsC/sZiOS6NtY1oOmioTMlQ0uWtPIQTrpRZXF0qUqi08z78xZ5JBDo8lSYZVXNcfA2+aDs22heN66KpMOKAg4ccnNnBxtshrl9ZZztXxgHhY4+SBNI8d6b+rLYVmKHzrlQX+w9evbL3WdeXYalPxPPiNrzzCSCbM11+Z55ULqxSrflB3ZNzPDp0+kEaVBPWOTanWwbRdWh0bTZXRVZloSCUWUFEVieurNb77+iJnr2xg2g6KJDg93cenHhllcigMrkS+2qJQaeO4vtt7yFDRVAlDU6g3TRBQa1pcmStSrnewbBfHcTkynuTx4/0kwzpnr+U4N5Oj0fK/A6erkK0qEpIsODGVZi3fIBU1SMcDBAwVVRaEDJV4WMPtTk9pThOnvAztBp7VBgFCDUAwhhQfxPTu3uclSQJNtMH1KNdatFodFFUhGtKJRsM0Oh6262fILMfFtF0ku4nutFCEi2oEuVYUvHE1d9dpwo+dGSIV1u+4jAvMrdWYXa5smd1qqsxgJsT0aKKbmbzrbn3oUBQJxa4hNcsIz8KTdVwjgSkFcXv1rveU++VafD9zvwQ/77js9dZbb/Hbv/3bOwIfgGw2y6/+6q/yj//xP36nq+zxIcF1PRQh/N6Lbf0XfilIMLde462Z3I7SmON6rOUbFMotHj8+QCZq4DguuizQQ9tusJ5fNLKBH5xb5rVu2UtX/RO13bF59eIai+s1vvzxg/vaUrjARrnF8+dXdrzu0U38eL7GDgJ+dH6Fn3pqnK+/OLdj2ctzJS7PlfirnzrIMycH+cHZJTpdBWBFkggFFWJhg3wZ+tNhHMfjhXPL4MFPPDaK7fpTYhulFv/hzy/yS58/ihDw3797Hdt1kfBvyoahsrheQ5bgr332MPOrNb772gKbM3P9qRCaIvHWtRwLq1W+/KlDhAMasbDO4nqdjVKTkKGgqWEAxvti3FyuUKy0cByXXKmJoggeOdJPLKhs9QJpTpPmzCvY9bK/w0J0K3b+96al19HGz2CxfwAkBCitPLUrr+BaHQQQDkYwhEm7bVMIJbCzh2nJMTx8r7mQruCqESCC3f2u03E/iO7cQWE5FtaJh+4e+Fy4WdxVUjUth7mVKvlyi6dPDt5VhfzDiG272IRQopGdN41e4NOjx/vGOw5+EokEtdrePQCO42AY+6vG9rh/aZo2F27k93WYt2yXt6/n+NjpYZR9xnYkCVY3mluBz16s5hu8emmNzzw6suupQQjIldoIWTC7XN13HZ7nZy1mVyp7Nthu8s2X55gcjOF1SyaSgOH+CLlyi5cvrlJtmIz2R6nU20wNJ1jO1fnWq/O02v5o9mA6zLGpNMVKi/n1Gnb3ZuXiP/3kyy06lp8lypfbXLxZYHOPhBDkyy3GB6I02zbleofvvr7IUCbMSq7BkfEkjx3tpz8dZCXX4MpckW+8NMdgJkQirFNrWcSCGrbtcf5ajsRDI+iy8LMwqzdvBT6bB2QbZn4FLTmIiI3u28OlYNGev4BrbdNbatchHMTOTHBpqcHKpfOIxAC2ZKCpEoOZMEfGk+jbnrwCusLJgxnOXl7fU75AV2VOHcqgSOKO/WTFWmffXjLwp92uzJd46FBm6/vs0aNHj/14x8Xkv/t3/y6//du/zdmzZ3e8fvPmTX7v936PX/3VX33PNq7HhwNJEqwWmlh3SWFW6iaVxh0MMwWcndm46+ddmi1Sapi+eKbpsFZqsVZq0bRcbixXEEJ0/b72xtv2//cbnxYCZEni1ctrHBhNMJQJc+xAhrVik5nFMpIQJCI6miqRiAb5b9+9zqsX1xjORLbc7pdzdV46v0KlaYEH8W1lG1WRqXa9ywb7wlxdKIKAWEhjIB0imwySjBl4QDJmoMgS565tkIwZrGzUePXSGq9cXGV2pcqf/WiWG8sVbMdlo9hE12RK1fZWINps2xSrbT9bYzfo5Jfueow7azdR7qCBJNpVrNuc0QE60TFevpJnbn4Ds9PBaVb9cqnlMrdS5ZULa5jbgg/P9RhOB3nq1CD9qSByV1dJVSSGsxGePjVIKqzdMfARQnBjqXLXfVrJ1bckCXr06NHjTrzjzM9Xv/pVOp0Ov/iLv8jw8DDZbJZSqcTc3Byu6/IHf/AH/MEf/AHgX7S+/e1vv+cb3eMvF0kSFCp7+37dTqVukokaezagNjsu+dLd19NombRMhyuzRdaKDZxu+mYk66spH51MMj2W4PLs7pvzdg6PpWh29haSk4TAcb3uVJng0nyRoWaYb7/m2w1oisRQX4S+RJA/+eFNbMfFdqBYbROPGlv7oSgSL7+9wnMPjeBBN/gT2K63FZxEgyprxRaRoIZpOSyu1zAtP5DUVYlUPEAyYiBqHeotC0OTsdo24aBG8bbj3jZ900vLcreaqgHKtQ5DqSDCsXA7dz/GTruBcDog7RZMFALcdn1XxkgORriZtygV61uvuWZrh99bsdpmYa3GoeFbzcueC+mITurYAM2OjdvtFQvqMp7r3bVPx3Jcv2fqLli2i2k7BNReg3CPHj3uzDsOfoaHhxkeHt7x2sjICCdPnnzPNqrHhwu/sfnebiiyJPa9mUlCcC+9aK4HrbbNcq6+83XXo2Va3Fyu8OzpIa7MlvbUwxH4QcmTJwb4429e3vMzPDySUZ2BTJgX315GV2VurNzKLpi2S63eoW36jceblKptJofj5EstdE0mEw9g6Aqu5zGQCpGOB8iXmpTqt27WrgfpWIB8ucVqvoF9Wy2u2bKoNUwyiSCaIt0qn7ke0l7HvdvTtJ0toWqx+ebdSj+3+73f9u4en2saSRaulW9by+7c2vxqlbH+COo29Wyv23MU3CZeec/lqW4j+z0v3KNHjx534R0HP7/1W79FvV6n0WiQzWYxTZP/+B//I6urq3zmM5/hscceez+2s8cHiOu6DGZCLKzt32cDfoYoGTX2LWEEDZmxwRhrxf0VngWCWFTfc0qgbdr0J0N865V5fuXLp/jJZyb48xdmdy2nKBK/+NnD6KrE3Ore/WmuC1NDcRbXfe2dWEhncWPnhJ+kSORKLQxdoWM6WyrOkoBQQGEgHWa92EQSgkhApdayWMs3GB+McnwyzUq+Tr1pUa51ePhIlutL5a0s1iaa6o9pu66HadnEIzpdQ3TKtTbHJlM7hJajQRU8j4CuoMgSnuchgL6kL0DpKgGUUBS7cecykRJL4qoBcECWQZblbkbJzyxJgRhCVvC2GZtakk6rtVOgUgpGdwW7rY6Nbbuod1LpfgdoskRfIrhVRtyPUEDdEVz16NGjx3684/zwW2+9xSc+8Qn+03/6TwD85m/+Jr/927/N1772NX75l3+Z73znO+/5Rvb4YPE8SEb0XT5Qt5NNBoncQaXXtlxOTKZ2eFvdjut5nDqQJl/eHSCVqh3GBqIossQf//nb/MSjI/zDX3yIx4/3058OMNQX4pOPjPCPvvKInxma378spsgSiaiOLAnKtY5firnNtNXu6hBJQpCI6uiajKErxCMGB4bjzK9WKddNFEXCMBRMy8FyXK4tlnnjyjpPnfD1rlRF2rLs2B4nyJLoZno8PGBqOEHHtAka/jOJabuUax1GspGtvxnMhGm17R1BZjIWINqdrHMkDb3r8bUvQkLPTgKCuulwaaHKX7yxxA/eWmGt0sYFbC2Clurf+WeeuyMTJWQFoYd2BbuSxDtJ1dwV1/W2vvc7MTEYxdB6Ja8ePXrcnXec+fnd3/1dpqam+Lmf+zlarRZ/8id/wl/7a3+Nf/JP/gn/5J/8E37/93+fT33qU+/HtvZ4D1AUX5fF8zws695HaXVF5uEjWV65sEqrYyN1SxqblgiJiMGpg5m7ekH1xXU+/9QEX39xlo61uzn1kaNZBtMhzl3d3Rjteh7Veocnjg/wyoU1vvnSPAeGo/zcpw9gO37WKKQrGIrAtRyeOjFIrtzi268uoKnSVqbEtFwyCd0PJDo21bpGpdbh0EicdsfGdT1qLasbZOi4rq9hU29aBHSZesukXOsQCqgopk0yonNsMt0tX3Vodvy+numxBKPZCKPZCIVyiydPDvKdVxdodmyCukIwoGJ30zyHRhMcGonheZCI6kwNRXnq5CCaptBq2fz7r18maChEQxqe509RhQMKQ5kw02NJVMl3oHddDzk5TGCwSmvlBkoohhKKIKk6dquBa7bR+kZxQhkuzFf40xdusr4tE6fKghMHMnzh6QkyoydwO22sSh7ZCGGoHsMjWW5eX8LxBGpqAFfSdn3nyViQoC7t6SqiqhJC+LpR70QDJBpQOTPdx9mr67uyZwBjA1EmBmJ7vne/sPmbkqRe6a5Hj/ebdyxy+NBDD/E7v/M7PPfcc3z729/m137t1/gv/+W/cOrUKV5++WX+zt/5O5w7d+592ty/HB5EkUNJFhTrpq8TU21jaAoHRxNkovo9p/8kSdDoONxcrXJlrkjHtAkHdY5PJRnJhHf0eNx5WyBXMTl/I8/8SgXHhXTc4KHpLH1Jgx+8tkjzDrowiahBPGJgOy7l7tRTLKxzdCpNxJDxtt0ALc8Xxnv5wipr+QaqKnF8Ks3pgxnals1//851Do0lSMYMNFXmGy/NYdkuiYiO7bgkug7k82s1mm2LvmSQSFDj6nyRVCzAYDpEImowmo2wkmuQSQSoNU0uzxZIxoJ89olRYmGdb7+6QLXR4fB4itV8netdh/h4xODYRIpQQGZ5vc6nHhklorQxyzkKC7N4jk0k00+4f5iCa/DahTzJmEF/MkjTdFharyGE3ww+mA4R0X2BSF32KDXaLK7XWFhv4CIYH4iSiBpEQzrrpQ7/9mtv09zHz216NMH/+rkjRFWbarXG8lKOaqMDwTiSJGN7grWSiX2bFYckBE+fGiQd1XfERC5QqJlcWyzRbFvEwjoHhuMkw+p+1mu7zxtJUGlazK5WyRWbuJ4vADk1HCcdM955GvtDggfUWjYrhQYIUISgPxXyz+X7N5b7UPJhuBY/6DywIoeSJKHr/kjv888/TzQa3Wp2rtfrPZ2fDyEu8MrFdV48v7Ij2/LS+RUOjSX49GNjhO5hQqZtubx9I0+jZTKcCW09wd9cKtNq2xwZS9zTDch1IBXW+IlHhmm0+vEAQ5N8BWgEqWSI5h36i0rVNoau8NTxfjrd6SfDkEnGuz+4zeKSBFfnypyfWePgcJLjUynwYKPY4L//4Bqff3KCo5MpirU2f/7iLPGwzkNHsvzw7BKr+QaxsIYkJB6azmBZLm3LIRxQEUKQTQQJBlTqLYuxgSh//uIsbdNBkSWGMmE+88Q4nucxkgkjC3j0SJYfnV/hu68vYKgy2bg/9t22bJ4/t0QyGuCxY32EnAKXv/1Nlm7Osr15N5KIcfITn+avPH2Mm2tNvvnyHLlSC6+7r69eXCMZM/js4+NMDUa4slTlWy/PsVJo0uqY3ZuoYLgvwpc+PsVrl9ZJRA06hcae+jtXF0rkKy0W2zbXFmo4joxEANlxyFWaqLLM0YkkC2vVrWyLLAmOH0iTuq3vq227fPeNJS7ezO/4rOffXOaxY1meOD5wTxci1/WIGAqnD6QwrQSe55cUN61V7kcs1+OtazmWc3WEEAQCGq2WHzxPDMU4Mp6k18XUo8d7zzsOfo4fP85//a//FcMw+MY3vsHHP/5xhBAUCgX+8A//kOPHj78f29njXaIoEq9eyfG9NxZ3ved4HpfnijiuxxefmUS9Q+LGA87N5FjJ+xNYlfrO5tNrCyVkSXB0LHHPPku25aIr3XDJpSsA6DE1FGMlV9u3hCFLggPDcVzHRelmm8RtiyqKxJXFCl//0U0c12Nh3c/kOa7HRrGJ5XgcGIwRCmj88bd8Q856y8Zy1njuzDC1rhcXeDiuxxc+NkGtYXHxZgFdk0lEdRRJAgFvXF6n3c1UBXSFwUyI5VwdRZb40dsrpKIBsqkQsiwoVHwH7+X8zsxiudbh//WZQS5+4/9mdWlTvfrWTlVLZV79s6/x1P8S5gdn22yUdvdEFSttvv7iLF94doo/feEGhWqHRttiexC1uFHj268scGAkxtmZddLxwI6y1yYDqSCXZ4u+VIDrARJIAl3ViId9j7OFtRqTw3FyxSbpWICxgSiRgLKjDOYA331jifPXc7s+w7QdXnhrBVmSefpkFte+t/PGdbyt7x3Pu+tc24cVDzh3Lcfyhv+b2t4m5bge17t6U8cmkj3hxh493mPecab413/913nxxRf5hV/4BWRZ5ld+5VcA+MIXvsDc3Bx/7+/9vfd6G3v8GFSaFq9dXL3jMtcWSmzcRX+n0rRYzdfvuMzscoXGeyAylwxrPHw4i6rsPj0VWeL0oT5SEe2OT/tNy+HlC6s7Mg2SEDTbNlY3qHJcuLFcYbgvtBUerBeb/PlLs6wXmgymgwz3helLBLg6V2QlV2N8IMLjR/uJhHRev7LOC+eWaXVLR7GQxiNHsrx1Lc+fvjDL1fkShXKbK3MF/vzFWfqTIR490n/7piIJwS98Zpr6yiyFtXVg74HtoK6yeP4sIykNAWQSQSYHY0wOxelLBhFAMmrw/Lllv1don5JWpWGyuFEnEw8gSQJF3v1pE4Nxzs1s4OzlMO+Brki4rkdfPMjHzwxxcipFxFB2TdgXax0u3sjvuR2bvH55lUpjbz2mB5lqy2Ild5ff1EqFxj7fY48ePd497zjzc+zYMf7iL/6CGzducPDgQYJBXyTtn/2zf8ZDDz20y/OrxwdLvtKmVL+D6jL+/erCjTyTAxN09rjQyrLEwnrtrk/YHcuhWG0znA7+WGUI1/UYSoeIh0dYyTdYK/hZkkzCD0bChnzXPpFqw2J5Y+eYu+N63UyIP3aPgPPXcgymQwQNlUq9g2m5vmN7QGWj1OKtmTylWoejE0nW8w02ik1CQY2ZhSL1pom2bXLt9HQfPzq/QrnWQZYE9ZaJ5biossTieplLNwt88dlJsskAV+aKmI5LLKQzmo0w3a+z/INLW0//t/zpb/13OBxkdmaWw587g3m0n41ii8UN3xi2PxnkkaP9hAMq//3715keS+5ZzgI/w3B1vsRDh/s4e2WDkKFS2TZGrioSquKb08qStG8Tu+d5zK1WGUhm96ztq6rM1bkSzl1OhkbbZjnX4Oho/L51Z3+nyLJgaaN+d4FH26VQbhPqC99RBbtHjx7vjHcc/ACEw2FOnTq147XPfvaz78kG9XjvkCT2bWi9nUbb2vfiKoRvPHovdEwHIe7s03QveK4viHdoOLY1BSUJf6LpXhpkLcvZFax53i1hvYCm0urYWLZLrWWxmm8wmA4Rj8i4ruc3vVfamLZLs23vSJHajku96/tVa5p0TId0PEC14U+BKbIgGtLomI6/LuFh2X7P0AvnVjg2mSIa1vyeH9PhjctrnBkzaLdaeN5OicLtQZCQBLomoymCr780R7N96zu5uVxBVyV++QvH0BRpR+ZIkQXRoIoqb3pleqiy5I/ZOy76bdo4qiLRtmwG0yEkIfb1cwPomPa+7wshqLfvrswM0GxbSJL4yAQ/ILZKpXejbdk7tJ569Ojx4/Ougp8e9weuC+E76O5sJxbW2E8d1/MgZNzbegKG8p4+oW6/Gb6TgpqmyshC7Mg6COE37OM4NDsWIUND12SiIT8QKdU6dEwHRRaocphDYwku3SwSDWlsr/4IBK22jabKTA3FKNU6jPRFWFivEg/rSJJvP6GrMrLkm41uZojWCg0ePtzHwtqtrJTngelKBMMhqvm9tZk9/ExLJhNnKd/aEfhs0rFc5lar9CVD/r4KyMZ1ooqFXc/jti2EJKGrUaam+lFlGU2RdwUcluWSTYTA8wUu70TAUPwAaY+t9jw/s3UvRILaXT/rwcIjZNzb5Teoq72sT48e7zH363Roj3skFdVJxwJ3XEYScHwyjWnund1xHJeRbOSuunWGrpCI6O/pE6qQBKbjYjouYo8N2HRzaFsutUYH0T2jE2GN0YHojmUlSRDqBoOtjoPlOJw51MdavsH1pQqFSpt6y6LRtrixUubGUpmjEwlOHcxQ2Ca6aJo2xw+kiId1cqUmnucRNBQ8z88KtU0Hx/PIJv2JLs916U/55WEP2N6iK/DFDH/wdoGBIyfueOxcx0WJpri6sX8YOL9aJZMI4AGjaYNgJ099dZF2rYbZbtNpNqlurDESaPHEmML0WIJG61a/jYSvOXTqYJpk5M6ilgATA7F9x1kty+XQaMJvDL8D0a7Z60cp9nEcj6FM+K6aProm+wa4vdinR4/3lF7m5wEnGlB58uQgf/bCDfarKByfypCO3VmiIBJUGO2PMr+6/wj6oZEEQW13JuFdIaBYM7m5XKZU83uWYiGdqeEYyaiO8LraMZUON5bK1FsmgYBGUJcZH4iSjho8eWKQ5Y06ZldIcDNIqbckTMslaCgkowZ/0TUz7X4sqiJjWg7lmkkooHFoNE4irFGpd/xR9r4wE8Mx/q+/mPHNUV2HestE1+StElAkqJHcZvAaNlTSsQDlehu8Wzc8IQTNtsULby3zc0+foW90hKWbc3seEkU30IcOMfN8ed/Dtlqo89SpQa7MFgnaFYrl8o7SmSQJ0skoQ1FBc+Zl/trHPs3xyRQrOV8DaXosQV8iQEiTODSS5OzV9X1vvIOZMLHQnQOkVFjnzJE+Xru4tuf7Anji+CCxoNo1mf3oEAmojA1EmV3e34rkwEiC0Hv1m+rRo8cW71jk8KPAgyZy6ElwYbbEC28ud13HfXRV5sRUmo+dHkLfY+LndmwPLs0WWVir7hC30zWZg6MJpgaiW4UzSRK0TAfP81AUCU2W7v0CLgQzS2WuzBVwPYHZPWaqLJAFHBxNMj0a58LNIjeXy1uft6mRggfHD6Y5MBRlZqnK+ZkcoYC61dsiy34ZamwgxuJ6lUbT5vm3llBkCV1VcFyXdsdmtD/KiQNp+pMBBlJ+KaljuTiOi6LI5EpNvvXKPOvFJiFD5cBInO+9sUg8YjA5FENXJORtfSy2C47roikSVxdKW9stgM88MU48qjEWtsmdf4nC0vxWMGBbNnokyoGnP84P5iUW1prcXKlQrLR3BDaxiM7UUIywofDsmUF++J2XWFsvYXb9uoQQjA2nefpEFtZnSAQE0QOnIXMQWQbw6Gyf1hMwt17nylyRdlfVOxDQMDsW/ekQJ6fS9yRsabkeL15Y482r6zv6XCIBjSdPDnD6QPojm4J2PI9LcyXmV6u4nrd1DquyxIHROAcGYz2r1veQD/pa/FHgfhE5/NAHP6+88gpf+cpX9nxveHiY73znO/zrf/2v+d3f/d1d71+9evVdfeaDFvyAb9JZa1qs5BuUah0MTWakP0IqrOK+g2YaIQnqbZtcqUXHcggFFFKxwNbTqSTdUpLeKDVxXRdDUxgfjDHSd3cVaCFgo9LhR+eXKdct1gp1at0x6FBQZSAVIh7WOT6V5sZicetmuj34cV0PSQiee3iIoK4ys1Th/LUcjusyPhinXGtj2Q6O47FWbPLYsX6yiRAzC0XWik0MTWZiMEYsrLGwVsXzBNOjcd6cyXF9qYwkCfoSAY5NpJgYjFFtmKwWGqRiAWYWSqwWGpSrfmASC+nEwhqqLKHIgqdODSGA+bUaHcshmwoS1FVev7LGWzN5hrJBjg5HGQpZqO0i9UYbLZIgnM4SiCf4z9+4Sq7SIh7WfWXgpomHn2mSgGrDn0D7658corZwlbYcIV9uIQRkEwE0s4xdWiWiCzRZQo2nUaef3VdTaTOILVTbNNs24ZBGNKgR2se+Yj8kWaLUMFlcr9Fs28TCmt9gHtI+chmf2xGSoNG2yVfaIPkBfipiENR7GZ/3mg/DtfhBpxf8vEeYpkmlsjMtfO7cOX7t136N3/zN3+TLX/4yf+/v/T00TePXf/3Xdyz3bsfuH8TgZxNJ8pt+PY+9NVzueT07vb3Azyws5Rv7+i8lowaPH+9Hv9PJKQQvXljljasbLKztPV4/nAkzPZYgGTG2tId2BT8SPHZikO++usDZmRyD6SCHx1J8/80lGk0LVZE4MpFCluD6Upl42OCZ04PMLVdomQ65UhNJknjyxACS5DeOX7xZZG61SrneQRKC4b4woYDCT39sipChcOFmAUNTuLZUZnalgtX9rnVF5tiBFA9P95GJ6riuf06Ar/XyvTeW+OG5ZfqSQSRJcHWuiKZITA3HeeLEAG9cXmdmscxf+dgk2VSI//nDG4Av9mhofuW6bdn+JBzwyJEsj/bbzL/8XVRVwwgG/N6pZgPHcbBtl0hIYzAdRo0k0A4/x91OSyH80fVYLLjneSxJgmZ3uk0SgoAu7ynMJ0kSksSWk32PW6iqTDwepFxuvCPfvR73zofpWvygcr8EPx/6nh9N03YEMc1mk9/6rd/iZ37mZ/jyl78MwMzMDD/3cz/X0xi6B1z37hM897ae3TeuesfuCuPtfVMrVttcvFnk4enMvoq1Hdtmfr22b+ADsLhRJxhQmRiMsrqPft7YQIzXL61zcbYI+KWy759dot5t7rUcl1rDxPFcQLBeavLGlQ1kSXBtoUQyFiAeVHj57VU+8egI33p1Act2mR5LYNku52Z8S4LJwRjfe2OJQ6NxljfqSEKQTQaZHIpRa5q4LkSCKgFNIRW51QNk2+6WarZlO4z1R1AVmTeurOO40DJdLtwsspRr8PjRLBulFq9dWufLnzjI9FiCq/OlHbpFm/TFgxwaidNo5BBCYFkmVmX3uHmrbeM4LkYohickNvW198Pz9v7OJUlQbdlcXyqzmq9jWS6KIpFNhTgwHCMR0nb8neu6H6nG5nfC5kPEh/txtEePB4MPffBzO7//+79Pq9XiN37jNwA/MzQ3N8fk5OQHvGUfbTZF26y7RPqr+TqNMb8xei9cT7Cab9xVUHE1Vycc3L/ZNhLSee2ynyFJxQzqTWsr8AHAA0OXKddsklG/2dtxPJ48PkCp2ma92GQlV2dyKIbteLTaFhulNiu5BicOpDh9KMPZqxtb62y0bTTVb6TOFZvk8HuqhIBKrY3neQymQ8SCtyQD/PJhEzwYyoS5ulBmu8qPAOpNE1WRycR9w9QfvbXEz3ziIAFdZWa+QCysM5AOE9AV4hGDsYEIF67lCSga0USKenHv6NADPElCzYxivssMoBCCQr3Dy2+v0tnWy2NaDotrVdbydR49OkB/wuhleXr06PGh4r4KforFIn/0R3/EP/yH/5B4PA7A9evXcRyHb37zm/zmb/4mnU6HRx99lF//9V+nr6/vXX+Wsoe1wrtlMw13r+m4+xEPyJWbdx3ddVyPpmkTDe6tG+RZLoos3bXJU5YlFFna+rzb/9eyXaoNk6CuEA/rrBUaO9YZMBQMTcFx26zkb/UVTQ37ZpJDfWFevrBKsdpmNV8nETHIlXxfrgvXC3zq0RFiIY1Wx9f7Wd6ok00GKdfaW59hbQsqhBCU6x3SMd/0Uwgo5zsIIRACLMej1bEIBVRcz8Pz/PKRJAly5RaxsE69ZbFWbGFZLl98eoz8iQEuzRZZXK9RrHUo1nzPr1BABVXBGD9Op/Eytrlb4VtXZaIjBxGhJIp3b+fl7eex6bi8NZPDst09v3fH9Th/fYPEmWEC+wS7PW7xUbhOfND0jvH7z/1yjO+r4OeP//iPiUQi/PzP//zWazMzMwAEAgF+7/d+j0KhwL/6V/+Kr3zlK3z1q199Vy7zkiRIJELv2XZvEo3eWW/nfqHRsqg0OjiOh6ZIxCMGQgJdVwkE7p5F0DV13+PbsmscGkuwnLtTz5XH4fEkAIHAzuyPrneDKgHBrohcNKQhSRbRkAbCL98MpEOs5ussb9RRVT+I8jyPZttmdqXMEycGOT6VJl9uk4wZRIMa82s1zG4vxrXFMhODMebXa0gSIAS6rhCw989GabpCPB68ta3F1tb2e20LgUC57YKhqzIjfWHSiUBXa0mgqDIOEpdni9RbFonorXPccT2uzJUY7AuhZ5KkTj2DuXSFRmEDr1tvMsIRRo8dJ37wKJL2zn8fm+fx3GoVy939HWzHA+odh8FsdN9leuzkQblOfJjpHeP3nw/7Mb6vgp+vfvWrfOlLX9oR0HzpS1/i2WefJZlMbr128OBBnn32Wb773e/ykz/5k+/4c1zXo1rd7XT9bpFliWg0QLXa+rGajD9oPGAp32BmvkSl6xcmCUEqbnDyQIawobB6m5/W7ciyQBFQKu0d3CgSJCMGE4NRbiyV91xmbCDKUCaEZTn+aDt+wKrrKp2Ohet6RAIqyYiOLEsUqm1iIX3LUT0R87MoLdNBlsVWg7SqyBwYjuG6Lt9+dYFIUGNpo8bkUIyBVIiPPzTMyxdWqdRNNopNDo0m0BUJRZLIJgNUqq07WhYENHnHfhuKRLvlT2sJAcGASq3p748QkIgYnDqYoVzv8MrFVdodB0WRMDS/vFaotPbMkEVDKldni6SjBm+VIBU/QXbAQvIshJDBiKAMZKg0HGjce2P/9vPY8zxWN2pbx/9OLK1Vycb0XunrLjwo14kPM71j/P7zQR7jaDTw4DQ8b3LlyhUWFxf54he/uOu97YEPQF9fH/F4nLW1vYXV7oX3o0vdcdz7dsJASHBztcb5a7kdDZkuHuuFJt8vL/Lo8QFuiPIODaDb6U+FCGry1nEQEtTbDs22hRC+AvNQX4hyLUoqZnBtsUyx6gct8bDOgZE4qaifiRnKhKk2TJbW/bFx8LM9Y/1RhvuCnJ7u489emKVtOnz28TF0XabdcYgENdbyDYKGSiigUm2YeB6cPpghX27x3TeWEPils1TMQJUl3r7h+048eXKQ772+AN1yVTioEQ1rREM6xXJr3/1ORA2iAXXH9x8OqMQjBoWK/3cDqVtlM0NTeOhwlreubXBkPMmjxwYwLYd4WCeTDPLiWyu02jbpuLHLD0PCFyDMV9okogaLG3UW8bd1YjDGeDaK57jci1ubJAks16NUM2m0LQJGk0hAIRbUcL17m9jyPA/H8Xo3m3vkfr5O3C/0jvH7z4f9GN83wc/rr79OKpXi8OHDO17/nd/5Hb7xjW/wjW98Y8v+YGlpiVKpxIEDBz6ITX0gabQdLt0sbAU+iiwhywLbdnFcD8txWVyrcnQyxdvX/QBJVfxykmW7uK5HOKhyfDK11fPS6DhcnC2QKzcwTX/FqiLRnwkznI2Qn9ngiWP9KLKE43l0TIflXI1IQOXgSBzJ8zgxkeTAUAwQqLoMjosiCTwbRrMR+lNB5lZrXJ4r8OzpYX745hKaItM2HWJhHVkWNNs2iYjOI0f7+aM/veCbSLrQNm3GB6LYtkOrY1NrWsyuVDg5laba8o04ZQHPnBoiqMssdcUfUzGDcEClXG1TaVoYmsypgxnk28wpZQGnDqZ56e1VWh0bz4NYWGdupcqJAxEqjTbPnRnmtSvrzCyUUSRBOh5gYT1CQJOJhTQabRt9j/40WYAiBCem0pw6kPF7iCSBruwtNrnlJr/tLUmSWMjXeeHcCovrVX9/ZZlwQOGRI1lG+iL3dO5kk6GPmG9Xjx49PuzcN8HPpUuXmJ6e3vX6T/zET/Bv/+2/5Z/9s3/GL//yL5PP5/mX//Jf8tBDD/Gxj33sA9jSBw9JEqwUGli2SyKiE43odEwX03IIGorfvFvtsLhe4+BYnI8/PMpGqUm+0sKyXWJhnURYpz8VRJcFngct2+M7byyxWmh0bSdUQoaCh0ur5Tf+PnZ0gPm1Wnek26RtOjx6pJ8jY0lUCRQF2rZHsW5u6fJkU0GyCY16w+HmUonPPzXBWr7B3FqVVsfiSx+fotm2aZkWnusHcR9/aJjJoShvXFqn0bJRJAlVk0iEdf+mLQTpWIChTBjXdTl5qA9FFoQDCp94aJhYUMVz4aeenaBcNVkvNWm0bMZGEqSjBomIhufszpJ4HsRDGs+cHuL1KxssbuSIhTX+1hcOcWYA7EqOWr3A9MNx5qZHef1mg3y5RaNl8da1HCcPZMjEDSzL2bVuSfKzco2OzfJGHSEJ+pMhMvFbRqNCCGzXpdqdhJMlQTysEzIUBIL5jTpfe/4GQgiChorZbWy2bY8fvrnMTzw+SjyqU67ubqjeJBxQ/f3vVbx69OjxIeK+CX5yudzWhNd2jh8/zh/+4R/ye7/3e/zsz/4smqbxqU99it/4jd/Y0wizxztHkgSlSpuhvjClmskLb63sMMOMR3ROTKUxdIlW2xcInF+rbTmP54pNklEDQ5PJxgO0XJe/eHWer784t9VALIRfqvn8U+MUSk1eu7JOMhogGtK2yj2PnMwykglhWS6qqrCQr/NnP5r11ZsdDyEEhibx6LF+njszgipLdDo2jbbJUDqMrslICA6P+UGJJ/zU7OxKxRcvbHR8E1iBP7ot/ODIcX1PsLVCk7bp8NC0yeW5Ip7n8siRfh6ezuB68NK5Nf7ilXlWC7f6xSaHYvzU0+OcnEredkw3xf5c3wJEwCceGubEALQuv0Dxe1fJ58t+OU8IUkMT/PzJ5/jzaxGKNRNdlXn7Ro4vPjNJ2XbZXvuSZYlK08R0PP6Pr11gdtXvwwroMo8c6ecnn5ogGVZYL7W5cCNPuXYreFEVicFMmCMTSV65tIrjeixt1Ki3LAR+wKQqEn3JIK9eWONzT41z7soGrc7uIpquyjx0uA9D7SkV9+jR48PFh17h+YPgQVZ4fjfIssSVxTLXFkucv763bowkCT796CiO47GSq7PXaSXLgmcfGuH89Tz/4/vXqdR3Nss+dqyfZtui1jTRFAlDUxjrj2w19SqyxBMnBshEDXK1Dv+f//YWa0U/0Ni8MXuer3L8yz91FCEEL7y1tEODBnyl6b5kkAs3CmQSAQSCRNTgyrw/Ng4QDWocmUjSaFtYtsvMQglFlgjoCp97cpw/+f51dE1BEvDXv3CMVtvm//vVt/c8Npoi+H/+zAkem05jOx6FmsXSRh3TsknFAgQNldnlMqdGVCqv/E9WZy4xmAqxnG/sOI7BaJTBT/4C/+fZNtWmzWqhwamDGcb7IxS29Rs1LYfz13I8dWKIb706vyvweHg6wxefneK1C6v76jJFIwa27fI/X7iJ497SHdp+jAfTIT7/5DjHJ1NcXyqzvFHDsn2Rw4F0mMnBGNGA0gt87pH7/TpxP9A7xu8/PYXnHg8MrusSDelc6qol70nX9PTQaGLPwAf8fpbrS2WqDXNX4GNoMql4gFd+tEY8rJFNBrEdv1dI7mrI2I7L5dkimYcHeOHc8lbgsxdty+b6YnlPm4Bitc1gOsRwNkKjZVFvdGi0LV8ZuWXheR7ZZJBG22IwHWZ+rUo4qOG5Hpoqkyu1cD0/1yIkuHizgKHvrWMTMhRiYZ2zVzY4MBznR+dWuHizsOU0L4RAVyV+8qkJjPoil69eQhL+yPotucPuPtVqNGde5cT4M5y7WSUZ0Wl1bNRtP3ZJFqyuNHhoOsul2fyegYdpu7z41grKPma2QsDcaoVMPIihKbtUpDdZKzRYyTd48liW0wdSTI/EsRx/ci6gybh7lPreTyRJbAVnvYCrR48ed+LDrULU40OBJAkKleZWELIXhq6w1u3fUfcRiMwkg7z09irALj2b0f4ocyu+h1utaWLZLntVLYvVFrmSyWuX1++4zbbtUqi0cfYJxC7OFoiGNB45kmVyOIahKQxlwgykg3z8kREePdpPKhbAtByG+8I8cXyAaFDl0GicG8tlNtNRk4NxlnN1CpU2mfgtXYtk1ODZ00M8fWqQbCrIsYkU339jiZsrFdzbtilfaVMslKhfP7clBui6exxHAbkbV5hOuVTqHVKxAOP9UaIhjYChEAqoZFNhjk+lmV2psLBe33PfhzIRXr+yTmcf/yh/8wRX5ouM9u/f1BwMqEiyYKPc4s2ZPNeWKrQtPxhz97E4eT8QAuqmzcxShXPX88wsVaib9p7nT48ePXpAL/PT4x4QQtBoWgxmwixv1LeyFtsxdL+80WhZKIq0ZzlFIChW24QDKqP9EW4u3zKsDRjKlg6P44LreYQMFUWWdmSSPA+aHXtLD2fv7YVa09f7iQa1PZeVhKBUbWPZNicPZHjrWp5qo8NnHh/na8/f4NpCmWhIQ1VkSrU20ZDGZx4fw/M83riyQTyso6syoaBKrtJCliWMbuCSTQZ4aDrLKxfXyJdbhAMKB0cSfPPleZJRnf5UiFbHvmV8qspENI9yvkA0pLNe8pvLFVnC9byt5QRgd9oo2L6WRkjj2GSSkUyEgyNxPM+jbXv8499/8Y5yAx5Qb1nYjou8R6AqhN/70+7YxMP67hUAiYhOKKCiKRKvXFqj1fJ7fmbmi6TjQR46nCGoye97o7MDXLxZZH6lslWeA7gyLzE+EOPYRBJZ7O1L1qNHj48uvcxPj7vieaCpMoYqM9ofIZsMEdAU/+ZvqAxlImTiBrLkN8Puf6PxMDSZ+bUa0+OJHZYItu2ibbsRy5JEImLsWULTFH/M/k7bK0kShUqbbDLIaDZKOKihqzKGppCOBxgfiBHQZUzT4+W3V/nhm8vUWhZf++ENBIKBdAhZEuiaTDYZJJsM8urFVTzg6HgSVZH8Sam6SSYeoC8ewOlmax450s/331gk3+3D8Y1Iiwjhj9XPr9XQVJla06TZ9gMZyxU4QkWRBQI/wFNkyXdI1xQ0Rd5Sd1YUP3gMGgqm5fLq5TVWCw1cz+9Xu9OxAT+TpyrSvgMBnuc7xg9kwjsCik0MTSYS0uhYfsBjbuup2rQ5efXiOub7nP0RAi7OFrm5VL7VlyQEjudRqnV4/twy3z+3zFq5Rct2fSXuHj169KCX+elxDziOy0g2wuxKBUUSJCM6ibCG63X7LLrLZRL+dFZhH7G/ZsvizHQf33hpnoXVKp96bITzMzk0VUYIj+mxBAtrVUIBlZFsGEOTdwU/oYBKIqxzcirDjeUKqZjhlz2aFuvF5lamoVRtcWQ8iaHJqLIgZIRxPL+PRpZ8VWcXmZAhc325TDys47lwfamCJEEkqBHQZAbTIWpNk4W1KkFD5c2rG2TiATZK/j5WGybpeJBTBzNUmibJqEGx2iZgKKiqTLVhEtBV1ktNFFnQNh0c16ZUbaPIEvWWRbtjM5Nz+PTYYTpXnkeSJDqmja7KqIpM2/RLScKD5NgkZTdApV7nkcNZZuaLtDo2S+s1DE3m6TNDnDmU4eUL+wt8+scmRUCXcfZpSFRkieOTKRbWakgCtsdA8YgOnsdTJ4YoVtoY6u6oolRrs1FuMZwK7dsD9uNS69jMr97KHvraUbbvLt/dr7NX1klGDM7m1jl1qI/BZPB9254ePXrcP/SehXrcE7GQRibh97Rs3jwkAXRNOD3P99ty7vC0v7BW4+QBfzppqC/CUDrMz37yICcOZIiGdMYGIjx+fICHDmdJRvQ9b1JTw3GiQZnPPTnOsckUtuPSMV36UyF+4vExJgZ9D6lCpcXTpwaxbRfP87dZwi8dbWamDFUmETUoVtpMDkW52e05cl2oNUxy5Ta5cgvX9QgFNOoti7mVCtnULV8y03KZGIwyv1ZjLBvhU4+OsLhexXY8NFViatjPMEVDGqLbyAxQrncIGb4PmeN5vH5pHbIHCEQTSEIgyxKtbgCUjBrIskCSZNLHHsNSgjx6pJ+NYnPHiHnbdHjj0hrPnB5C1/b/aefLLZ45Pbhv4AOQjGpk4gGiIZWf/4lpHprOMDkU5fB4gs8/Nc7xqTSXZgsoXd2mvZhbqbKn/8Z7gCQJ1gvNHedbx3ZZ3qjvKLlatku+7Jcl37i8TrG+vyZRjx49Pjr0gp8e94Qs4OHDWdLx3WZ1QvgNyycmUhwajRML+/0g2WSQ/lSIdDyAqkgcGkswkgnz089NsZpvMLdS5ep8EUOT6EsEuTJb5MkTA0jCo9IwEUIgywJPgJAERydTTAxEWM63ePtGjkq9w0axwamDSR6azjCcCfGZJ8Z46sQAP/3sAQ6PRDk6kdqzUTsSVHnkSB+NlkkmESDSDU6ChkLQUAjoCpGQhut6ZBIB+hJBhABDV9EUX11ZVyWOTaY4Op5ECLhwI49pu7Q7Lroq4zge86sVNkotjk+lsSwXWRJIgi0ndAGoXYf6H1y3yTzz08T6+vxt9jxKtTaFSgtF05n+9Bdx0odoNG3mVypoqkQ2FaI/FSIR0X2xyZqJKsHf+MJxoiF11373J4N86bkDHBmJcnTSPzZb5S/h/zscUHn0cD8TA1EMTeXNq+vEIzrTY0nGB6NYlsubV3MMpkMod2iCNy1nR9lMkiQkWcIFJEX6scpQQkCrc6vcJiRBqdrB2UNJum3aKLLAdlyuLZa39leSBR7giQ+/A/V7iST5vykP/xj06PFRpFf26nHPGIrEE8cHKNc7zK9WaZs24YDG2ECUWFBFALGgymPHBphfr3J5toBpuaTiAR4+0k8kpDK7VmVmocjTJwe4tlhmdrWC63r0xYNMDceZWSjy6JF+2qZNodYhV2wihKAvHaTSMMlXO9xYKtNsWnz2iVEUeYKzVzd44a0VhCQ4Mpbis0+MM5wJ0mnbHBqJM5gJs7hepVTrIEmC0azvG9ZsW3Q6NqPZCLGIzkaphVJuYWgKCL8Pqdm2aHccwkGVw2NJ8uUWIUPlwEic6bEkiiRYWq+SKzYJBVSSUZ1ISKFU62BoCiPZdFfM0GO0P8L1Zb90qKsyHr4mhmm5eJ5LJhlkVSSZ+Mm/jpVfojJ3Cc91CaQHCY8dZt0O8x+/dpWfemaC8aEYK7kG8+slPM8jEw8wNhCj1uhw/lqezz01yv/7lx7h8myJm6sVJARHJ5JMDMbIxg06HZuDw3GSsQCXZ4tslBookmB6LMlIX5hoQMVxXD5+apDjk0kuzRYpVFsEu9/30YkkisQdG5p1VUaW/ORPw3RZ3Kjy9vU8bdMmEtQ4dTDDQCrEHZJU++J5ENBvXb5s26W+j8mqoStbDeC5UpOm6WDZLnNrVUqVFghBNhlkOBsmoqsPbFlMCEG9bbOwXvXLtp5HMhZgfCBKJKDe+cvs0eMBoydyuAc9kcM7I7pPyptnzqZhpSQJCvUOr15co92xt56wHQ/W8g3OHO4jqCtUGxZfe/46+crOEoQsC549NcTRSV8N+eKNAm3LJldqs1poEDIUoiGdM9MZHjnSx6XZEv/9ezNI0q3mXc/1MDSJr/zUMU5OpLC7k2mbT/ZCgOP4ZTrT8fjOG4u8OZOj3jJ57OhA17W9g2m7GJqMLAlOHkhzfalC23Q4PJZgKBPi8lyRXKlN0FA4PJ6kUu8wu1LhC89McGO5ytvXc4DYutGPZCM8fLiP599c5upiibFsFA+PlVyDgC7z+acmuqrNeTzX4698bIL+dAjbdqg2LF65sIbtekRCGulYgB+cXcS87VySZcFzZ0aIBBVGs1FCukLA8BulhRBYlotp+mUyF79ZeHapTCSso6mSPwXW8F3mHz3ST1/c2CoRapqMLAvC4QC5Qp0fvLlMqWs4ux+PHRtgJBOkUDf52g9vspLfPXp/aDTB558cJ7CPPMKdaHQcvvvGAo7jYbses7dNfIHfHP/JR0eZ604WCiF4+Gg/Zy+t7ZIcUGSJ09MZRjPhD2Q67P28TggJFjcanJvJ7ZoElCTBsck0U4ORXSa5DxoP2rX4w0hP5LDHA4vn7e163zQdXr24Rqtra+EbmApf/weYX61wZCLNt16Z2xX4gB+UvHxxlaOTSV6+sMrV+RJ9ySArOT8QDQdUcuUWL7+9ytRwnG+/Nt9tDnb83g/hl5CEEPzxN6+S/Kun6Y/p3XXv3t5wSCYS0lnJ+X0iAV1B12Q6loss+f05qahBvWvl0WzbjA1EefnCKiu5BpIAD498uUmp1qHWtGi0bLLJIJdliUbLwrRcipU2siTQZMGhsThPnRzEtB2WNuo8eWKA/lSImfkiL90sMpgOUay0+B8/uMEnHh5lbrm8dT8yNJmp4Rh/+sObuwKfaEjj8FiShfUaruuysF4jpKtMDMXoiwdQt5WnZFlwY6nCjaUyAJU9+mBeu7zGcw8NE1T98X3TdFC6AYoqS0yPJXj1wu4AYpNk1KAvbtAyHf78xbk9Ax+AmYUSAUPh84+P7eyqvgdChsLEYIzri2W/T0qScNydMgzTY0nqXakDIQSW47JRaOy53bbj8ubVDSIBjVhwd8nwfqZUt3jz6sae03uu63HhRo5IUCUbN3oJoB4fCT46he4e7yuSJFgvNrcCn03MbunIcV2OTaW5tlDa0atxOxODMV67tI6myuBBJKAxlAkzlAkTDelIAoazEX701jJD6TDVhkXHcrFdD9vxaJkOlYZJtWHyxpU1NG3/+H6j1GFxrcpTpwZJJwKcvbrOiQMZpoZjGLpCIqKTTgSYWSgx3BfmU4+McOlmfquHyPV8vSDTcml1bAZSQcq1DudmNvjEwyMkosbWZxUqLRwPZuZLBAMKHdPG8zwKlTb/519c5aXudFYsrBPQVTqmw0quTjSsAb4O0tOnhlhaq9O2dh6/SFBjejzJC+dXePnCKnMrNdpth3y5xWsX13j14hqdbY3BbdPdobG0Fx3TYTnX2CFHsInneQwkgr5vl77z+AoBfckgjx3tR5EEG5U2C2vVO37W5ZtFSvX9dZv2xfM4Mp7kwEgcQ5OIbtMk0hSJk1Npsskg+e5knut5RIIajX3KY+AH4DdXKog79DLdbwhJcGN5d1ZsO54H1xbL7zT+7NHjvqWX+enxnrHpi7WJEIJWx0JTZEq1DqlogIW1BVzP2zU+vclAOsRrl9Y4cSBNImbQsZ2trEE6FmCoL0zIUHn98hpPnBjcd1vqLYtLc0WeOzNMWNttPSFJsF5qcfbqBn2JIJ9/coJcqUmh2uaJY/30p0J+b1Hbpu9MkKFMiGuLZS7NlpgeS2ytR1Ulak0T23E5M53l/PUcpWqb89dzTI8mODPd5+v9ePD0qUHm1yqUKh2+9vwsALGwRjigYloOqZivazSSDdOxHJodi2OT/aiKRDKid/fLRFPkHUKTUyMxXrmwRrVhIgmB47lYjrvVjJwrt7hwI88j0314nkfTtHcY0+7H8kaNqcHonk9Inucx2hcmEw+Qr7ap1DrIskR/MkgkqCLhl8pm5kt3/RzTdljO1UlNpHD3aFi+EzJwYjLFxGCMlXyD2ZUqqiJIRg3qDZOlbeekIkv0p0LMr9w58NsoNemYzg7dqfuZtuWQL+1vBbNJsdKiZToE9/i99OjxoNELfnq8J7guez5ZOq5fjvL7MhyCAZW2aRPQFRrt3U7gcrcZ2LJcokGNeERjuG8IAdQaHdYKDURXIVm6i39Bs2Xv28IghD+NBLC4USM+W6BUM6k1TWaXKyRjOq4L8bDOpdkCpuXw1KkhzkxndoxSu45HPKbz8JEs+UqDYrWNACp1k7nVVQK6QjSkociCSqPD0kaD0ewtywjP8xuDR7NRHMfFsl10RcJQZSJBjaF0aKuxuGW5SEIwnA2zXmjSbFsEAyquA6VqG1WWCAdVJLF7/HwlX6c+niSkyXfMAGzHdT1/PfscZtf10BWJ4VSIkXRo67VtR3lXeW4/TMvpNobf0+I78FyPkCZzeCTOSF+YizcKzK1Uto6BAOJRg2OTac5e2b9Ut32/HqRuENf17uk776lg9/go0Qt+erwnSLLfd7K9CdbzPHRNplL3CBgKzZZNKqoT1BU86Ar+7bzgdiyHwXSI0f4IngdvXNlgvZjH8zz6EkGOT6YYzISZWQjR3Mdwc5NU3EDdZ5TXcfy+FIFfsmu0LWTZN+sEiIZ01goNdE2m0bYRwA/fXOLYeJJPPjJCXyKIZTsMZsIkIjpX50vcXPLLOx5+Ocwfx7bpmDYj2a47fbf00hcP0DZt0vEAiYhOpd7Bspwdfl4BQ0GWxNb0kar4FhqW7fuNmbZLNKSRr7SJhfUtdWhFFrvGyB3Ho1RtE86EulNY4q43xFDAD9q8uyzn6zztft11XfoSu6UR9iIVC7zjrM/tOI5LQJU4M53hwGicYrWD53kkIjqxkIbjePdU1gnoyg6z2PsdTZEI6MpWsL8fhq7c0b+vR48HiQfnF97jA8V1PCYGY7uSBIYq43oesbDOd15b4NhUmkTUwNB88T5jW4o9Hvad0z/xyAj1psXXX5pjvdDA9fyMyMJ6jT9/aZ7VQpOf+fgBbtylb+Xxo/13zA6l4waTw3FkSWJxvcbkUHzrvWqjg6L4TbSRoIbjerguWI7H828u8/aNPNcXy7xycdX3M5N9Ow692yDsuB6aIhM0FMYGooQDKq2OTbHaZn6twmh/FA+/ibtQbmFaDgFd3VFqmRqKI7blrjRZMD4Yw/OTaeiKRCykocnSlkO7B8RCOsoeIjqbhqVhQyaTDN7x2AFMDcfA85AkQdt2qbVscqWm72Z/D/dI23aZGorv+I73IhMPkk0E3lXW53Y8z7+oxQIqk/0RDgxGSYQ0JEBXJYYz4buuY3Iotm/QfD+iytKW+OedGM5Gtox1e/R40OkFPz3eM6JBlYltAQT4Zay+RBDbdrAdj/5kgLH+CB3LJRnVmRqOc+aQP7o+MRgjETUIGipnr27QbNu0TAfT9AUBDU1GCLixVMbQFTLxvU03AR4/mmUwE77jk2xQkfncE+NEAgqO61GstDhxIAVAqdYhHQvQbFtMDceQZUEspHFgJM7NlQrVhknHcrBMl6G+CMenUsgSDPeFmRiMMpAOcXwqxUDaL9GdPJjZMm5dyTWYGIwy1h/Btl1cz0OWBJlkgM3NHeoLk75t8sZ1PYb7wqRitxqp2x2bRPTWcdA1v1F7LwWLcNDXsPFc35/sTkHJaH/Un3TrOLx5Lc/33ljkL16d5zuvL/LC+VU2Kp17agqOhRSee2iE/RbVFInnHh4mbLz3SWjP83aUclzX48BwnPAdJrkyiQCDqdADVQJyXY+hTJjUHgKlm0RDOlNDsQdqv3v0uBM9nZ89eFB1foQkUW6YmLaLIkEkpKFJ0jsqN0iSwHI9Kk0Lx/GNPOMhFQk/M+ICi7k65Zo/Pu153SyBEPQngzRMk1Q0yOXZEuVaC1mWEfgj47oqc/JAmv/6nRmqTYuO6eB53pZug9s1Dh1IhdA1mefODPHDc8vMrVSxuxdtXZWZHktwdCJFx7Q4Nu43Jxdr/lSYJEHEUAjqCrbtIqsSq/k6kiz7xqCuh+N41Jsdri+VKddNbNsXIBxKh8mV/WZYSZZQJTg8niYd07Fsl3rLxsPXEGp1bKSuh5htu+RLTfKVNlrXHDYeMZAkQcd0WCs0WCvUkYXf7zTSH2V6JL6nerIkCZqmy4WbBRbWa5i2w/Rogu+/sdgNCAOoXcsJIQks28VxPZJRg+fODBFQJRzHz+aUGyaLG3U6tovnegjhl+viYZ3RbIhG2+H1q2v0xUIEgyqe55fUTNNmNd9ktD/CeH8Y766nj+DyUnlLIgA8JCEYH4jy1MlBJvpDuHeuyLxn+P5fDovrNZodG5duS5OAaFBjtC+C9gFlfd7v64TpelyeK7K8Ud8qgSmyRH86xLGJJEFN7poCC5qmg2m5COFnzAKafEfrmvuFD8u1+EGmp/PT40ODJMF6pcMrF9e4tlCiYzlIAkayUR471u+Lm93LOSpJ3Fyr8srFNRZWqzieh6ZITI0keOJ4P4MJA8/xHdlz5Tb5chO3q8SbTQapNk3ml8oEDqoEdImldYtCtYbn+VmJ0f4IrutnXTadxestG9Pyhfd0VUaRNcp136292rAYzIQZyUZpd4MNTZNxHT/YODga59J8meVcg5n5IqVuQDaQDvHI4SxHxhIEVRkHie+8usArF9dotCwMXebkgT6eOTXIWPfm3rFd3r6RZ6PUomM6hAMqx6ZSLG3UuHBjg47pUqx1qDVNsskgArg4W+DoRIqPnR7i0Gicdsdlfr3K65fXWVqv4Xq+ncb0WJJnTg8T1GUUSSKoyXs+gXvA/Ead60slmm2HRFQDz8+IfeqxUc5fy20TlvQoFFtUGyaKInFgOM7LF1bpT4WYGoz5KV8hyFfazK1U/L4mAel4gBNTaTwEi+s1RrMxXr20xqXZIu2OjaJIjA9EefxoP62OTb3tELpLqURIMJwJ8elHRzAtl7bpEDT8vppERMPzBH9Z6npet2ZXrPtK4dWGhRCQiBj+FN+91PPuUzRJcOZAmkMjCZodC8+DoK4QMhS8bnO76XjMzBVZWq/RNv0AKRRQGe2PMjUUQ3lwD0+Pjxi9zM8ePEiZH0mClVKb//s716jtoW8iC8FPPDHO6QPJOwZAkiTx9lyRr/9oFnuPTFHIUPiFzxymWGlzebaw9boQgmbHZmmjRsBQ+LlPT/PKxTW+/uKcv14Buib7ejm2y08/O0mh2ubslQ3y5XZ3Hf66NrNI2WSQE1Mpjk6m+LMfzbJebBIOqIQDKrIsEQ3pnJxKMTYQ5Y/+9CKlWofRbISO6ewYEf+ppydIxgL87//XOdZLu53oFUXwt754nINjMX7n//cmLdMGz38SfvzEIG9e3SBfbvH4sQHqLZM3rvgictGgxtOnBhnNRljK1TE0hUeO9FGqdfjq967teZtPhHW+/KlD9EW1vXtfBFxeKHN5tshKobEl3LfZ03R4PMnEUIyLNwsokmC5K9w43BdmejRBodKi3vQbxEf6IxwYSfDfvjNDrtzaXP3WdgngE4+OMpwJ83/86cWtLJ7ongeu60+dfeFjk0yPxOlPBPYtlwghmN+oce5qbmvKSpGkrXNIVSQePzawQ036/aRlu3z1BzeY72oPbd7LNz/55IEMn3509F1Zbvy4fNBZCdP1ePntVYr7KHcP9YV56FAf93M71Ad9jD8K3C+Zn17PzwOO5cL331jaM/ABP0PwvdcXKNfvPDlVbpp897X5PQMfgJbpMLta5dK2wAd8Ybn1YsOfLPJ8LaDXLq1te9+f+vI8v6w1v1bFtr0dvk2+K/utfzuOh+P6Pk3DmTBnDvURC+u0TYdG13n93MwG52Zy6Krfz7NWaGDc1lciyxLffHne9znaA9v2+JMf3qBcNTE79lbZZ2wgykahwVqhiet6WLbD1fmS79+VjRAJaXz39UXm12p8741FvvHiTb750hyKJAgHtT0/q1Tv8PybS7je3neWSsPi2kKJWsvcCnw2j6/reVyaLXBzqcwTR7OcPJThuYeG+fRjo4xlI6zk6luBD0Cn4/DKxdWtTNjmxNtmICXLElfnisyuVvfVA3I8j2+8NEfHdm8Zo+5B03S4cCO/Y7x8+zlk2S5vXc/d80j83bhT4kZRJM7N5LYCH/CDnu0h1/nrOebWqkg/juvqfYgsS9xcru4b+AAsb9RZ7Xrt9ehxv/PR+oV/BClUOyys3UXN13K4ulBCVfc+HRRF4uZKdU9dnk2yiQBX50rUb1umbTpb6fOp4RivXVwjclsA4Hn+zRSgVO0QDqqkYgESUd9zavNSq6kS8YhOMOBr5wghqDZMzl/LcXOpwkaxxXrBt5rIpsL86PwKui4TD+u0NvuHun00muY7qZ+/nsPQ9y7bSJKvdHx5rshf+fgBPvXIKJ99YoLHjw/ger4v1YGROOW63/w83Bem1bFZ2qjTsRyWczWeOTXEQCbCUq7B2SvrPH1qcEdgt50bKxUKe1hNSLJgbrWK43qUqrvf3+TaYhmE4AevL3JzqcLccoX1YnOHLhGAYSicvZojZKhEghqxiIGhq0TDuu8QHzV8NeqFEiem0lsTbLfTsRxmFstbthe7j59grdjAtO4c2NQaJuXGu1B43vY5luNRrJssF5oU6yZmt69pO9WWxYWb+buu782rG1jvxejZfUTLtFlcv7MSN8DN5crWb7VHj/uZXs/PA4wkQbHavidtk5V8Y98nOlmWWMnvVG8O6AqKLGFaDh3LIWCorOYbGJpCLKjiur6vV2ebtoiuqRRrbeJhnWhQpbotG+G6fmBiWi4bxSbTowkW16rEw/rWdgnhL3dwJEGzbRENqWwUm7turkL4/1fqflY4qFJpdGh3HGTZ93/qiwUoVtu0Og76bUGfJPnlJEX2vaDWC02OTiT55svzrBUbfOm5A7x+xbfgODGVJldqIvB1UhY36siSb1NRqLQJBzRmV3zn+mqjg+3Cs2eG+f7ZRTrmzi5f23apNUxSoZ3BoetCud7B6WaZ9sN2/ObmUq3jN1Tvp3HkenRMGy0eYGmjTr1poqkydldkMRkzyCaDLG3UODCcIBkzqDXMPbNAuWJzXy8oIQTFOwRr26nUO/TF3kXpSwhm12vMzJd2bF8ooDI9lmC0L7KVNjRt32ftbhS6Ssd7KYM/qFiOd0+q342WuSXE2aPH/Uwv+HnA2cubaS9kSewb/HgeKJJ/IxjKhBjMRGiZNqbpEAqoeHjgwprUREg71YU3V5nq3lBPH+qjYzmk4gFUWebmcpnZ1Sqe56EoMh4eb17d4GNnhnj2zDDXl8qUav4NKxE2mB5PEg1p/OitJQbTIepta5cC8aYOjkDgeh6NhkXIUP1t6W5b23KRu6KAm5ura7IvwOj5YniqIqGrMoaucPFGgZV8g1hYw7ZdLNvDsm3Wiw0UWSYRNShW2ngexCI61YaJLEs7yj2eB+dmNuhPBTkxleb1y+v3/H1tHkexfSf2WfBuVYlNTaKFNT+bpykSpu3QaPlZu/VCE1mS6E/6QpJzK1XGB6Ld4OjWZ0tC+B5sd9iee9XMk6TdqtT38jfXV6q8fS23awsaLYs3r2xgOx5TA1HfZBfRtf+48wfJQuwnav3A0h3IvOt3IITYV/G7R4/7iV7w8wDjutAXD6Cr8o4MzF5MjyWx9ilP2LbNgZE4pm1Tb9n84OwSzc6t8lY8rPP0qUGOjCfJl1tbGjOe5/fujA/GCBkqPzi7SKHaodroUK6ZhAyFEwfS9CWDnLuWQxJgOx4HRuJsFJrUGh0emu6jbfm9PM22xfXFEvWWRTYZIh7RUWV/dPv2glzLtBntj9Bs+yPuIUMhaKhUah0EfhnpE4+MkojqlKodIl3tl0q9syNTFgtrHBiOsbRRQ1X8YCZXbpFNBlkvNsmX20yPJnBcj3Ktg65KmJaL7XgMZ8LkSi1c10ORBZoqUai0aXccGm2TZNTY0WMRDmgkIru1iyQBg+kwpWobQ1e2en5URSIc1BD4XmaKLJDwGM5EtkQP9yJo+Arblu0i8DN7tablu9R3x/1rDZOHDvdx6UYex/VYLzZJxwNbWkWSgEhQ5ch4Yt8RaNd1GUyHmV+9czlFEoJU1NhTm+hONDoOV+aK+4ZeHnB1rshAKkRAlQgFFIaykbsarY4ORIkEVdyPUEOsrsnEI8YOhfa9SMUMDFW+q+p3jx4fdnq5ywecRFjnyETqjsskYwbDmdC+ej+u62d8TNPl9cvrOwIf8EsyX39xjrH+KInwzpt3OmYQD+s8f26ZudUqg+nQ1gRAo23x0turNNs2h0cTeJ7fY/OFZyaJBFUChsqN5Qq1pokqS9QavveWEDA+GOW1y+ucme5DEmJXxmR+tcojR7Lky20k4ZfpHMfFw8PxPEzLoVrv8MTxQWTZ11GuNa0dgY/At8BQVYl6y2ZiIEqrY3N9sczh8SR0/0aSBLoqIUsCQ1dodfxsynBfhLnVKq4HoaBvr7DplXVjqcJA1w9rk+NTaRKh3Q3RrusxmA6hqb4qdshQODqR5NShPmJhjWhY48SBNM+cGqJS6/Dwkewdla1lSfiCdp5H0FAxu0KL4AdCsiyQJUhGdIKGiqZKNNsWmuIrSRu6Qiys05cMMpqN4Dh7nzeeB8moTmSPfdpOX9cM9Z0ghCBXbt7VsqFjOeTKfpOuLks8PN13x8SFIkmcPpT5SAU+AIoQHBiO33EZSfjnTS/w6fEg0At+HnA81+XZ00NMDsX2fD8a0vjCM5NEA3e++ZiWi2k7BDR5yz9KlaUtIb5IUGM5V+P0oQxat4dGkgSJqMH1pTKyJIiG9K4IYXLrJjo2EKXa7HBgJAHC4+c/fYhcscmbMzlevrjG29fz/OitFd64ss5wX4SRbJhTBzLoikS96d+QY2GNYMC/SUuSQFUkjk2mCQdVjkwkSUZ9/yzH9TA0BYGvb6Jpgk8+MsxjR/tpNK2t7Iyq+GWPgXSQL3/iAG9fy3N5tsih0TiO42dBLMvhzHQGVRHkyi36UyHS8QCSJJAlwXMPDXPhpp81CRkKyYiBpsr0J4PUGib1ltUtGfkcHkvyxPHsvqOhIV3m4cNZBpIBHj02wPWlCt98aY7XL2/w+uUNXrmwxrXFMpGwzqHhGNOjceIRnYF0iKGsr+5r6N3jo8oMZkIcm0jTbFu+qagQWz1aiiR46tQQxWqb8YEoqiwRDWkYusJof4RYyM9QffGZSWLbghZJElvB0yaaLPHokSyBfRScExGD0wcziHdc8oJq4+49KrAZoPoSFgeHYzxzemjPAEiRJD7z5BhDqdAe7z7YeJ7HYDrIodHEnu9LQnD8QJpkxNjz/R497pVb1wnpA5XV6un87MGDpPOziem4zK7VeevaBrWGiapIHB5PcXgsQbLbx7Ifsix4e7bI9cUybculWG2zXmxiOy6GJtOfChEPa8hC8OyZIXRN4dpSmdmVKn2JAC9dWCOTCKDKErlSi3TcYHwgRtt0mF2p4LguRydSHJtMcWOxxPWlCpoqs1FqUay2qDUsPDziYZ2femYS23ZYWK0iuj8iTZV5/fI6siQYyUaYGo6xWmiwuFrjiRMDZFMhzl5ZZ73YQlUkpscSjA9E2Cg0cF2XscEEs6tVXr+0RrHawdAVTkylmBqK8ebVHDeWywQMhYem+/jB2SU2Si0UWfDUySHiEZ2LN/JEwxrpWIC26WBoMpdmCyxtNIiGND/r5LroqszDR7KsFxqsFRo8erSfjWKTM4f6GM2GUe/SICNJUGrY/NmLsyzn6r6woxAkYgYBTcHQZBJhnSdPDmDbLtdXqlTqHVRFJhpUCYdUsgnfJf5/vnCTRNQgYKhcullko9REkQUTg3EG0yHevpEjGtR45vQgS7kGF28WCAf8vqmjEykOjcZJBLvnjYB622ElV6fRtjA0heG+MOGAgvD8LE3LdFjK1Vlcr2E7LpoqMzEYpT8VQpffXb+Pr3tUuOuyRydTHB6JbzVTu8BqscWbMxusF5oICUazEU4eyNCfMHA/ICXjD8N1whNQrHW4sVShUu8ghG86OzEYI9H13ruf+TAc4wed/Y6xkAStjs1GuUWx2kEWMJAJEw9pW6r0Py7vROenF/zswYMY/IAvUGe7Lh3bRZEEQV3et89nO4oi8eKFNRY36qwVGli2u+U+7nlg2Q7hoEYmZnB0Mk213qbWNElEA3Qsh9curWFaLql4gFRMJ5sM8Z3XF8mXWn72Q/h9Q8mowfhgDDyXtUKTizcLBA1lK0Oy+TmPHM5SrLQoVDuoiuDoZIpri2WEgHK1Q7HaZiQbJRM3ODKRYn6ljCT7QooC6Jg2q8WmPw3UH+HF86tcni1w6lAf0aBK07S5Nl9mYa3GYCbExdkCIPiZj09h2x4XZwtYlkO5O5Z+YDjOcw8Ns7BWYXIwzjdfnidXaeE4Ho22hSQEoYDCmWk/c7OabzCQCXP6YBpZEihC3NOUkyQJLswWubZYxnE9ggG/j0kIX7un0bJoW/4xwvP47huL2I4/RRcOqjx8uI9m2+Yzj4/xvdcXWdyoU6y2mBiM+dYknsdGqUmtbtKfDnF8MkWx2ubGUoXxgSjHp5LMrtYoVVrEIgafeWwUQ5W5OFtkfrWywyVeEoKhvjCnDqS3soObI+mbXmaKdG/7vR/VlsX33li840VTCPjEwyN7ZjaFJNEybQQQMGRc+4O9FH5YrhPgB6ym7dtbqIp03wc9m3yYjvGDyl7HWAjBYq7O29fzu/pP4xGDRw73EQmo77jv73Z69hY99sR1XSQg0A1c7iXwAT/A0VWZtUKDWrfZtn2bLEun0gIBrY5FruxbQLQ7DpGwTr07Qruar3N8KsX/+P51VvLNHX8fDfkj4a9fXueXfvIInuePbldu03+p1E0enu6j0rS4ulCkPxXCtFyS0QBzqxVqTYuAoZKM6Tx8uJ83Lvs9RdsRwve8siyb5VyDpVydmcUK66UWjZaF43rYjofAzxJMDsW5PFtkvdhkpC9Cpd7penlZ0PXQujRb4FuvLDA+EOGvfuoQz59bYX616jcxR3VOHfSDgJVcHVmSODQcRxUCPHZMhN2JtuWynKsTNBQyiQCVhsVqvoGHr7M00h/h7es5FtZrjPVHd5SFak2Lb768wE88PsabVzeYGknwwzeXsF3omCUabWuHZEAwoDDUF+a1S2sUax0mhqK8dS1PrtzGsh3Wik2SUZ1ExODmcnnXtrqex+J6DSEEZw6lEV0RS1n401TAj63oHAmo9KfCrObr+y7TnwoT2aek67kuRve38EEHPh82PM/bcrZ/UAKfHh8MQgjWyy3OXt3Y8zdfrrV56cKqXzW4x8DlvaDX89PjrjiOSzYVotHcX4hO4IvVRcP6ln5Nx3IIB9Ut9/Cp4TjLG/VdgQ9AOKDSbPv+XK9fXicV1wnu0SfiAbbrsZKrI4RgrD/KuZkNLt7IEw/rTAxGGUyFKJRbvHp5DV3bYx2eRzigMJCJ8mc/uslQOoymSlsBl+t5Wz0hG8UmmiKRTQYI6iovnl/lkSNZXNf3NTs4muDEVJoXz6+gqxJjAzHOXdtgIB1kMBNiIB3Etl3+/EdzzK/XURWZhw73Eb9LE/Ce34ProasSsbDO82+t8NLbK8yuVJhbqfDqxXW+9coCfakQquILON6OZbtcnS8SCesUyi2eOjWEIvv2I5GgttWrlYjqPHw4y9xqlUTU4NhkilhYZzXfuG17fP+yO9Xtl9Zr1Jr31pvzThHA6UMZ+hLBPd/vSwQ5fSjTm8zu0eMDxPE8rnQV8Pej0bJYzjXuWZrlvaCX+elxV2RZom3aDGcjLKzX9l5I+P02jaa5Y7S+1uhwaDTB+et5sskQL7y1vOtPk1GdVsdGlgU6Mlfmipw6kCYdD9Jcq+4aZdZUmdV8g+G+MJGQxtX5op9WXa9j2b6ScyJisFbI87HTQ3tubkCXabQsljYaZBMhjk6kuDRbQBJiyyEe/GArV27x5IlBOrZD27TIJII8c2qQQ6MJ2qbN1fkiRyfT9CeDzCyUWFivMZQJMT2WJF9uU2tY9CWDHBqJc3wi6WsJvYunaVlAMh7kL16d3yWQ6OFRrnf4/htLPHN6cF9V5bmVKrGQxn/51hWeOTXE554cZzlXp9owGR+IMpwNIxBcnisQDxt8+rExzl/L8fb1HNsFXiJBjUqjw9JGnSNjiX1LCK7nsZJvEB9LvC/eXbosePxYP6V6h5srFTodB12XmRyMkQjr97UPVY8eDwLNjk2pureF0HYW1qqM90f+0jIyveCnx10RAvLlFkcn/ZH5xfXajoBElgSHRpMEDIWNUstXFu4+7BfKfv/N0QkPSfYb3raTiPi9PvOrVQbSYQqVFpbt+gGI5zGUCbNaaGz1k/QlgrQ7NomowZMnBnnz6m6hQPBvuh3LIRZWUeUoyZiBLEGrZVNpmrQ7No22BZ7H1YUin350DMtyubpQZPu8uywJDo4k6EsE+OoPrxPpavH4Ojf+vxsti1curHF1rojVHftezjVYyTXoSwaJdrM84YBK2FD3HQ2/G8Hu8b098IFb/meW7StSR0K79YLAzx7ZtgueYGmjzkquTn8qRCSo4rgeF24UcBwXVZHRVImby2WuLZaAnb5ZqiLRMW2sbWPy+9E2nbuLM/4YyAIyUZ1sPIvr+RpEbtelvEePHh8s9j3+Fm3bxXV329K8X/SCnx53xfMgoCncXC5zcDjO9HiSpfUaHdNvrh1Mh2ibNmevbHBmuo9We2eZY3G9Sl8yyNGJJFfni5iW2x1912h0FYQd18NxXYKGupU1arQtArrC5GCMRtuiYzo8dXKA/mSQZjvDta7g4V4MpkMcm0xRqpqsFpq8dmWdcFBlfCBGQJMYH4ph2b4Fh+N4vHFlndFslMnhKAtrNdqmQ8hQGEiHCRoyV+aLhAMapw71ka+0OH8tx9xKlZChMtgXZjgbIV/Z+XTjAevFJuvFJkFDQVVkPO/dN1k2OjaNlokiS9i3BVC+pYdAUSQaLZv4PiPJqiLh4QednufhuB7LuZ09M5KARNRAkSQq9b1LnablENRVdM1vJHfvENgEDeXHbmS8G5uGtwB3Vv7p0aPHXyZK1zT5bg9JuqZseS/+ZdALfnrcFcdxGclGuL5UYjlXR5YF8bCOLAlsx2V+1TdOHUiHMTR5l5Em+L0zqbjBI4ezXJ0v0bEcbq60dqgDL+fqTI8lOTgSp9y1tGh1bFodm1hY5+mTgwR0mVK1jYsgHFA4OpFCCGh3HDbKLSzbYbQ/gqLIXJ33g6Nri+Wtz3jlwhpPnRzk4myRzz05wYGRGEvrdSr1DktSjdV8w+8hEbBRavH29Ty/8NnDrBdbnD7Ux/lrORAgSxKW1aBj2RSqLUzL5YnjA7x5NYeu+wGB47o0WxZCCAaSIfpTQX4cv0zX9ZuFh/vCrOYbO6YmBH4wGY/ofmN2NrLnOiYGoyxv1DkykaJSb6Mq0o7vSwChgMZwX4ShvjA3lspEQxpetzHb7n5f9ZZFKKAy2he5s0yCJBhMh96XklePHj0+/IQMhVQ8QK60u9dzO+ODUeQfcwL0ndBreO5xT0SCCqP9UcB/wi5V2+TLLcq1zlbJ5eSB9B3HDK/OlpgcjDKQClFtWL7fUteEVJL8m/taocFnnhjl6ESSkwcyHB1P8eSJQZ48PkCrbXFzqYLneTx+NEvbdLlws8D563nylTbTYwmOT6XIJkO8fT2Pokhc3xb4gG+f8aO3VohHDF46v8wnHxlF3hzr5VY/0exyhaWNOicOZqjWO0yPxnnlwiq6JtMxHWIhjY5p43U9wJodi47lcGgsRrXeIV9u0WjZJGMBhjJhnjo5SPQdqhjfzqYIY0BTGOuPMpKNkIwaJKMGQ31hDo3EcR2PWFjflRkCMHSZQ6MJljZqPHmin07HYaw/wkg2QiYeIJsIMjkUIxM3SMcMJodirBWaLOcarBYaNFo2oYC65Uof0GVOHEjfcZvHB2NE9hE47NGjx4OPBBweT+w5hLFJPKKTTQb/Uh+SelelHveE8ODEVBpZkljcqNLuOHj4ei4hQ2FqJM7kQATL9bAsh7bloKsyQvjBkmk7TI8mCAcVfvkLx/ja8zd47dI6puUgBIQMX435U4+O0p8MEg/6U2OVukmt0WG10EBTJMb6o0RDGq9eXMXD9xqayhrEDQ/PaxPMxjAdGBuIcn2xhKbJWJazw7bCdT1uLlXoTwWJhXV+4XOHeeHcMo7rcXAkTqNlUW+ZDKbDTA3HmVkoMdofYTDjZ7b6kkGaLYugoWJoCiFDRU37QdOzZwYZykSQZQnbdtkoNUlGDQ6PJbYsE2RFotqycB1fcTqgSbuyJwHVQbRKfu1MDWIqEWTPZSQb5fJsAVmCsHErEJGEn/3JJoPEIzqW45BJBGi2LRRJIhUPcPpQmnbH5kvPHWAgqfP5p8b54bll8ByCugJ4OI7H5HCcQ6MJlterPHosy/XFMrGQjqHLOJ6HIvxg68yhDJbtl87mVyt0TAfH9QNaP0CLcHgsuVXvl2RB2/S/C1kSGKq0ry/Yg4Cva+T6HmpCYGg9T6weDy6iW9pqmg5e1yNu0yw3HTF47Fg/b13L0djWqiAEZBJBzhzqe1dipz/W9t4PIofr6+s8++yzu17/rd/6LX72Z3+Wy5cv85u/+ZtcuHCBZDLJL//yL/OVr3zlXX/egypy+OMiBDS7DbVLG3VaHZtoSGMoEyabDKB1neGLdZMrCyXmV6tYtks2GeTYVIpq3WRpvYquShwYSeLgsbhWR5YlwgGFdsdhcb2K63mM9scYSIcoVtpcuJnH82ByMMpwNsJ3Xl1go9jgqaNJMqJMeX6GaqniB0PZPiZOnKBAgn/91Uu+a3u3ZOO6XrdkJQjoCs+eGaLdsfjckxMsbdSZW6tRKLeJBFVf0Tai+75iqsS5qzkuzBZoNC2ChkIyaqCrMpGQhiIJyvUOuqZwZCLJqxfXqTY6xMM6Jw+kOTSWIF9sMD2aZK3U4txMjtnlMqbtEA3rnDrYx/RYnIAsYSgOojBH89qrtFdugOugJLKEDj6KOjhN0Q7ywvkV1gpNirU2nW4Qqmu+71cmbvDM6SFsBxbWq9QaFqriW06EAyqZeJB0VMWxPTxJsFb0v8v1YhNVkZgYjBGP6FybL1KpdxgfjlOqtJlZKFOqtTE0mc89OYHjepy/lmOt0KAv4SsAq6qMaTmYlsNwX4T+ZICAKuN5HrW2w82VCmv5uq/wrMgMZ6OMD0S2lnmQsF2PpVyd2ZUqrY4vdJmOB5gajpMIa3v2fj8o14kPM71j/P7gAuulFjeWytRbFoGAiiZLTA3FyMQMBP7DQMdyKdU7lOsdZMn/TUQD6nsmR/HAKTz/4Ac/4Nd+7df49re/3Z0a8YlEIrRaLT7/+c/zyU9+kr/5N/8m586d45//83/OP/2n/5Qvf/nL7+rzesHPbiRJsFFu8+qlVUzLJWAoyMJ/su2YDqGAysdODVGotTl7ZR3H8ZuJVUViqC/MyxdWaZv+TbHaMGmbNq7j8rGHhlkrNP0babHZ9f5KkC+3WVqv8bEzQyxt+FoxU8NRNkptipU2P/loFpbOM3tlpus1JqF2tXpUWeLxTzzN66UE33zNH63f/uPy8EtVn31ijJFshO+8usi5azmSUYNwUEGVfTuI6YkUI30R8DxeubTKG5c3bh2ProKxJCAVD9CxXN64vMZTJ4c4e2Xdn1hzXDqWy+RglP/HF48hJIn//I1LtPaY1hrLRvnFnxhDnn+d4otfBWf3MuEDZzCe+F+4lnN44a0VljdqW1NwkhAMpMM8fWqA8f4o567lKJRbKF0PHdt2qbdMPNfj8ESSycE4r15aJVdqoakSuqrger4i9cJajTOHs/QlgvyPH1xnYa2GocloqsxPPT3OaqHJ999Yoi8RQNdkyrUOjusRC2o8+/AwY9kI565uoGsyT58awrIcXrm4tqcJaSig8uSJASKG8sBMZ5mux2uX1siVdo/3SpLg9MEMY/1hbu99fxCuEx92esf4vccFzt/IM7dSBfxzPBDQaLVMXNfj0FiSI6PxrWvw5nAG/PhCp7fzwCk8z8zMMD4+Tl9f3673/v2///eoqsq/+Bf/AkVRmJqaYn5+nj/4gz9418FPj920TIc3rq5v6ce0blNNbrQsFnJ1rs0Xt0oZnueRjBq8faNAqeZbQawWGsiSwLQcdE3m+XMr3FgqM5QJA6CpEh3T2dLu+cGbS3z8oRGuzhdpdRyW1utEQyqR1ioXZ675nwNbI+aqKtFoWaxdeZvjx5/ipaBGtWnuetCOhXUyiSAvX1jjRlehuFhtk00mGeoLM79a4U+fv4lpOzx+fIBoQOeZ00O8dmmNtungeP6U1ORQjGrdZHGjTtt0CegK1Ya5o8x2c6XKnzx/ky9/YgpZkWCP4Gej3EAuL1N66Wt7Bj4AzcWr5AaWubiqMDEQ5eh4kmrD37dYSKNt2lyZLdIyHfKl5i5l603WCw1qLYt82b85m5aLaflTXabj0ezYXLyZQzmYZWnDnwRrmw7pWAAhJL750jyS5B+vTDywFYBVmib/8/mb/K+fO0I0pFFtmCysV1lar+/rvt5oWbw5k+PpEwMPRAOiJAuu3CzuGfiAf7F/61qORNTo9UL1uO+RJF9fbTPw2YuZ+SLpmEE2bmz1h34Yci73xfXm6tWrTE1N7fne66+/zmOPPYai3LqQPPHEE8zNzZHP5/+yNvGBRghBvtLeFfBsJxbWmFutUN+2jBBg6AorXfsBgSBXamFoCoWu/9aNpbIfTLgemioxlAmzuF7D9XxNmlbbptY0iYV1XNf3hXr0QIS161fRVNnvHdFkArriKxtLfgbIcTyKszM8dmTvhtwzhzKkogb9qSAfOz3Ms2eGeOrkAPGozjdfnmcl36Bc79Bs2yysVpldrXBptsjjx/q3xjE3t88XP7QZH4iymq9z+8OMAM5e3aDV8Uf5N5GEoD8V5Mx0H198ZoJ8pQMjp5DDeztri8wEVy5cw23XWdqoc22xRKXRodW2mF+tsJZv0DYdzl3d2HfUHSAS1jl/bb/fxmbgKnj7Rp7hvvDWO48ezfLapbWt/3Ycj1bXyHU7b1xeZ6gvjK7J1BoWhUr7jirQxUqL6vukAv2XTaPjsJzbRwi0i+N6zK/V/lLVbHv0eD+wHJfrS+W7Lnd9qYz3IdNavy8ePWZmZkgkEvziL/4is7OzjI2N8Su/8is8++yzrK2tcejQoR3Lb2aIVldXSafvPI2yH4ry3sWFm2m4e03HfdiQZYn14p2lxwO6ytJSGdfzCOo6ngeGJlOu+9NgQgg8z6Nj2Tjd/hvLduiYDgI/A2CoCooiU6y2ga4wliTIlZrEwhr1pkUmHqA/InF1PU8kqOG4HqZ1S2hPUyQiQQ3wqObzjJxSdvzkhIBPPjpKNKTz/bNL/Oj8Cp2OQyKq8/GHRqi3THRVQuCPXArh+4kFDQXX9VjNNxjpCzO/5t/gbMfF7LiosuD0oQzffW1hz5+4ZbksbdQYSIe6AaDM8QNpVvMNXrmwRiFXRF65QCwkc3DsSQYzqzhz59jeHGKFMhSvryKPZ5ld7+Dh9y9FghqpmIGuStiWy2qhwbHJ1L7flxCCUs3vSVJuk0BWkNA1hbbpUKk3GUyHWezuayJqMLtcAeE/8bmeH/zFI9oO4cXFjRqqMkw4qLFebNJoW91x+f2f9kq1NpmY8aF4Ivxx6DQtLNu9a2BTqLTwECjKreXu9+vE/UDvGL+3tNs2jZa143zf/Pf216oNE9NxCd72oPRB8qEPfmzb5ubNmxw4cIB/9I/+EeFwmD/7sz/jb//tv82/+3f/jna7jabt9EnSdV/dttPpvKvPlCRBIhH6sbf9dqLRwHu+zr8sNF0lENjfj0rTFWRZRngehuEvt5kRUBX/f23XRRISAhjKhMgmQ0wMxbaWtbrj5ttvf74Pu0AIidnVCk+dGEIIB0NTMG1nVznFdf0Jqo7poCoyyahONhWiWG1jqDKfeGSYVsfh8lwB1/X8m3Z3IuGFt5bRVJlnTg3xxpX1bqOQwMOj2bZRFb9h7+hEisUNvydMkSUG0iHS8Sxnr6xTa1nsFf34Uw8ekhDomsKpQxnOXtlgvehrX0hCx8OjUihztlShemiMw6PH8ZYu8P9v78+j5LrvOn/49b1b7XtX9d6tbqlbUmuxJEt27CR2YoxJGJghwDADcZ4hHoZtJjwTyCEJJ8AkHHKYBAxn4EAmD5nz/Ejwww8CMwO/wCQx2b3KlmPJ2qXe1PtS+151733+uNWlbvUiWVZLLfX3dY7OUVfdqrr1qVv3vuvz/XzeHxoxsS0nhqoNmnb1JFIo16nUi3S3+lE1BV1V0TV13c9LVRU0TUHXVdyulaeApaXKZKNbQ2kUsTvvQbBUJaGrKtW6CTi1XYpy9WIihEBVFRJRH9W6Rbpx4jM0FZehrqjbW8Ll0gmH157RdTeRq5gbfk+WcLl0fH5Xs1tvOXfzeeJuQcb41lBPFXF79DXr9Vyuq1luXVPweAwiwfUz0rebLS9+NE3jpZdeQlVV3G4ncPv37+fixYt84QtfwO12U62udKFdEj1e782dTC3LJpvd2JDpzaCqCsGgh2y2dNOjDe4kQghCXp3h0vqDTXMqRAJOnUepsV2lIuhKBKibZvPLYWhKw2smT65YZXQyQ7VuEQ258bo1YiE38bCHyfkCQtjY2ERDbmp1i0zeqVMxuiMEwkFSi+lV+xHwGnjcGsOTGe6/fy/tHS38h38VpVo1UVRBoVzn+OlpEmEPmaLzi8Uy7cYSTZWZxSLtMR9tDcEkGmMsytU6+WINj6tGy+FO3vvwDizLpq3Fh2VafP3lMccpea3EhXBqmdrjfk5eukwi4mF8NrtiGnnBVIj4w9TKeWzb5uL5Udof2kNAvYBdqzgZkfwC4XicvFCp1VcuQdbqJtPzeTpafIQDBqVyrfk5XItpuvG5NGzLWnObgFdv1mSlc+VmNiZbqNDTGmB4yvFasm0bt0tzRlwsc29sb/HhdqmcHU1i2TbjM1ncuoqmOUNZY0E31yZGvC6VVOrWNRncKRRs6rX6mkafy2mNeKiUq5SLV3+g3e3nibsBGeNbi1W3UIHcsvOIoghcLp1KpdYsaPaGPNh1c9O/48Gg594qePb5VmdhBgYG+N73vkdbWxtzc3Mr7lv6u7W19aZfczM6AUzTums7DOIhd2Oe09qFq+lshd19MS6MJZsHvGXZVGsmrREv04vOQf/ggTbGZrKcurRId6ufvs4QFyfS2LbNzGKRStVkoCfCzGIRcMY1xEJuzo8m0VXBq+dmefxYN3sP7efEd1+gVnLi6dJVWsIe/B6d4UnHcbp1cC/VOlSrjlDw6BozCwWMRveT11Bpi3qZnF/5hTw/nuLBfa2MTGUwLZugz2B02inoK1bqJDMlXjo9g6oKfvCBXufLbmhNjxvbdjSQAITiuDIf2d1KwKMz2NNCS9jD8yen6Er4iYbctIS8mLZFW/8hSCfITE2QnJvn8mSGI7EezJmL1OoW9twl9hx9iK9fMLHt1TUy+WKNmmlzaFec+VRx3U6KfKHCvv4Yc8nCmr/YVAEtYTddiQB//ezFpp47PbzAQwfaGZvJUqtZqKqC16WRKVw98QnggaFWnj85xfmxFMeG2gj7XRTLNao1k/lUkUq1TnvM10yQhQMuAm7trv1uLMejq7TFfIxNr18AKgT0tgaorfNdupvPE3cLMsa3Bk0R9LYHHef7a7Asu3kO6u8IYVs29S20rL3lFz4vXrzIkSNHeOmll1bc/sYbb7Br1y6OHTvGq6++irmsQ+bFF1+kr6+PWCx2u3f3nuHalQmvS+XQYBx1nTHZLpdGd9zHwYGWFY9dTJc4uKsFv0cn4DMI+91cHE+ja4LJuTwDPRH6OoKUGxeCbMExNRzqj2LoCo8c6iTbGMOws7FENp8uQUsfe/ftYndPhN09Ebrifup1qznK4t2PP8Ro3s0/vTDOc69P8dzrU3z9+DgXJ9L0tAcd7xsFBnsihPwG5Uodf8OBOZ1zPHu8bp3dPREqVROl8aZCPgMhBC5d5f7drZTKNXoSfn7wgV4CXsPxLPJqRIIGXreGpigM9IT5wQd7ePn0DP/0/CgTs85A0d29UQqlOt989QrPvjTOP5+Y4YXhMgVPG337D5DPlTDdYWwcnyJPSyed3R1EQ2tnNC3bJhHxsrcvitdrND9Ht6HiMq5+1UN+N4cH44T866SgbdjfH2PPjihD/VEGexzTw3LFxOfWeWCoDaFAPOxBU5VmbAxN4d1Huwn73JwfS6EqgmKpyoP72jCW1dBlC1UK5Xpz3w4NJtCUN3cqWnIG3yos7Y9l2ezdESUUWHuwrBAw1N9CyPfW3L4lkq2AZdn0tAZob/Gvu82O9iCtUc+Wq+fb8j4/lmXxUz/1U5RKJT75yU8SiUT467/+a5555hn+9m//llgs1vT5+bmf+zlOnjzJf/kv/4VPfvKTvO9977up19yuPj+qKihWLbKFCuWKs+wR8ht4dLVR/CtI5itcvJJmPlWkXrcwDNVxQu4OEXTrWDbMZ8pcvJJiMVPCsmwiATe9HSFqpsmJs3OMTGWoWzYel0Y84qWzxcfYTI6R6Qy1ukU06ObB/a30d4RRFcHoTA7btmmN+gh4dCp1i//P353kZ5/oRaQnmLl4nlQyRbVu0tXVztDRI1wu+PjuGwt4PTouXUVRBGbdZnw2SzTk4cGhVkYmMyiKoFgxmZjPowjB2dFFQPBvnxhkYi5PwKOTzJQpVGrYNuzpjRILunC7dSJ+F9GgC59LQ1UUptMlRqcyTC0UKJRqRINuOuI+WmM+Tl+aJ1twRmD0d4VJZkp897VJcqUaIZ+zVKfgLJvYtSLdEZ29bSp9tUsYuSnc/UcQXQf453MVQgEXxUqdS1fSjcJZZ1Dprq4Ih/fECbt1LGEzkyyxkK4wmyqiKNAa9dEW9RL1G6gCyjWLkeks4zNZSpU6ihBEg252dUdojXhQFcFivsqr52b5/sV5Upkyfr/Ov35skGy+yqnL88wmS0QCLga6I7SEPeiawtR8HiGgUjEbRpg6oYCHyxMpJubyVOsmsaCHo3tb2dUVJujRbtjvQyiCfLlOOlfBsm0CXoOAV0drFNTfThTFGYuSKVYplutoqkLY78LvVilWTYYnM1yZza0Z27VSbnfLeeJuRsZ4c6jbMD6bY2QqQ7Fcw+txzF/7OkJ0xX23Lctyz5kcLiws8Ad/8Ad897vfJZvNMjQ0xEc+8hGOHj0KwMmTJ/nd3/1dzpw5Qzwe56mnnuLJJ5+86dfbnuJHMDqX48JYcoU/jMelMdAdoa89sMykSlCs1ptjCryGuuLiJQTYCIqVOjZORsBjqJRrFs8eHydXrCGEUyy81L4eDrgI+V3OoE3TZKA7ytdeGuPEuVlnGKhwlo/29kf54Yf7ef7kJMMTGQ4OxNndbuDXLGwbVK+PN8by/O/vXEZTFDxujXyxhqEr9LQFWUiXWMyUePhABwGvTq5YJZ2rAjYul0a+VKduWuzvj3F2dJGWkAdVCOYzZXRVsH9XC6PTWUrlGqZlc2hXggO7olg2nLy0yPhslkKp3oxD0GcQ9rsAm9lkiYn5PEd2xzl1eZHXzs8Bzryu1qgXl6Zg2lAs1zBU+Il37+JAu6BYqjFe9PLy6RkCHscM0OvWCAfdGLqKwJmyXizXeWCojYBHZzJZ4BuvXGFqLo/SOBnYtjPY9AeO9RDxqpimUwNRqtapmU4jqsdQURpLdwiYTpbIFipomtrs3qjXLfwejWjIS61uMrNY5NKVFKVKnXLNZGQqS8hnsGdHFL9bZ3ohj6YqRIJOXZdQBJoi2Lsjypvp/ahaNqcuLzA9X2jOLhNAOOjmwK4WYn7j9hklCphJlTg9vEhu2bKfoav0tgXZ0xtGVxVKNZP6WrFdg7vjPHF3I2O8eSz9GKhZNm63DqaFKm69keFG3HPi53az3cSPEILLU1lOXZpfs14XYKg/xmBXaO2C3jWfE0wbssUaixnH8C3kdzO9kGdyLtdc5lqOjWOCeGyojbOjSb51YnLVNqoiGOgO8TM/tIcv/eMZejvCBLw66VyFjrifnrYAzx4fZ3Qqg9etky/WVrTB7+wKc3E8RdDv4oGhVsdd+vJC8wsa8hk8dqyHK7NZzo6k6G0LEPQbxMMeYiEP47O5RuGzirdxYX/b/nYWsxW++cr4in3VVAVDV5maz/Oeh/sYmUxzeiTJv3i4j5fOzHB5ItPcNhxwEfDqFMt1soUqqiJ45EgX2DaXJ9I8uK+d770+xc6u0Lrtov2dYQ7tijGfr/CF//UGc+m1jfYGu8O8/71D+LT1140URTCVLHL89MxVF+lrnFuH+qNomsqpC1ePm6ppNWuuAO7f04pbV1jMlFc8v9+j8+jhLvR1llGvpW7BSw1H6rUwdIWHD3YS8a3deXIrWSs217KjI8h9O1velLPJVj9P3AvIGG8+dzLG95zDs2RzKVXrnB9LbqhrLo6n6Ir7b8inQQhBrlzjtfPzJBvLMuAsWdRNi76OEIvp0ooBd85+mLTFfMwki1xedgFdjmXZXBhPM7VQ4H2PDfB/f/0iC6kiAZ9BplClUKoyM1+gOxFgIVNqCh/AabvOVehuDTjGi7YgmS2jCJot3D1tQbJ5pwPnoQNt7GgPYVo2lyczfOOVCQrlq/vs9+gcGozjMjQujE+v2ldVEVSqJpZtc+L8LL2tQcBxSzZNm3jE07yY102LXLGKoTnGjd2tAaYX8uxoCwBwaSLFA/taOTeSZEdHYMVoBHdj6XH/zihChRdOTq8rfAAuXElzdmSRh/e1Ul2n6LZatzgzvLjuxR2gWK4zNp1acdxoqoJLV6k0LAhOXV7gB+7vXiV+4lEvLkPBuoHBpkII5tLFdYUPOC7V58aSvG2ojRtW6DfJjcRmbDrLjvYQYa+s7ZFItiJbvuBZsrkIIZhPl5sXq/Wo1S1mk8UbcqUtVU1eODXdrEdZwracqeHPn5wiEfWueC6hCFLZMvGIl6n5PMlrLpbN58Bxjc7kK5wdSdHe4qW7LUA06GYhXcKyHS+c6WSRoG910elMsoDHrbGzM0LQb1CtmXTE/fS1B/nBB3oJ+Q1OXppndCrLyGSWdK7CmZFFXjg11RQ+uqaQiHgI+gzOjaU4dXmBPTsi3L+nlfCyQlebRtunrjE5V0BRBZ6GeJxeyONxaezsChEJunA3lg6d4ZchSpVac0o6wGLGmXV2eE+CzkQQn0cnHvGwpy9Gf1cEoSicH0szm6owOp1ZZV54LcfPzKxw476WbLFGtrC+tYHLUMmX68xcc0yojdqWJao1k4VMGb/nqghQVUFfe+iGhA84cRxpjCDZiPlkkUJl/fd0q8iVNo4NOEtbo1MZaaYnkWxRZOZnmyME5Es3NlogV6w2DOrWv2ipqmD0SnZVVmcJl64S8rsYnc4RDbpYTDsix7Zs6nWLtqiX51+fwrJxlpx8BqriZGgyhSqZfJUd7QEujKcI+d3Mp0ooQuDzOfU70wt54hEvo9NZfG4dj0ujVKmjKqLZlVStmcSCboSAQ4Nx2lp8jE9nGZ5IUTOvmiR63Bq6rnDi/Fxz+WKppX56sdBY/tL45qtXeNeRbs5cXuC+3QnGZzIspMvUaiahgJtsoepkdgo13IZGKlcmEfUxvVDA0J0i2Y64n9lkkaDXYHgqTaVmMdgTaZoNgtPltpgt8wvvO4B/oIXJ+QKnRxapVs1msW+pajI5V6At6mTQ6ut4maRzFco1E2MNkz0hoFjZ+JjQNYV8sUqlZq4UuLZNyGdQqZnNfc+VqkR8TveZpioc2h0n7NNvuBagblqUqtcXNaZlN2a8bZ6LrBCsOzPtWvKl2orMo0Qi2TpI8SPB0G/s16mhq9ftqCnXLCZm159tZNs2wUYbdk9biHrdwrIh6DfY1ROhJexmZ3eYoZ0xsvkq1bqJx6Wxpy9GMlsimSnT1x7kpTMzTvdZ4wJr2TbVusWF8TSPHuni0pU02ULFyULYzlJFtW4hhFPEvX9nnJOX58nkHUEnhMKevhiXrqRJZsvNQuVCuUa5UsfjcsZkxMNO3c9SzZJt29TrzpBPFMF3XpvgsaPdZAvzVGsmddMi4NXJFqoYuoJpWYxOZxnaEWU2WaBas6jVLRYzJabm8yQiHmqmjdel0Rb18fLp6WsDCLZgMVPm+xfm1hQQxUqdyYU8bTFHYK2Fx6U2Z5St/ozA0DYWEJZlN5fo1pLDibCHgNcglSvj8+h4PTqxsNcRtJ4bFz7QcIy+wVZ4dZP7323bEX43gqY5NgDmJi/DSSSSN48UP9scNrGwQwAAWDdJREFUy7JJRL2oitiwhkEIaG/xX/eiZZpWY+zB+ti2jbBt4mEPXS0+bGxcmsrFqQzlmkWxXOe183MsZErU6s7ruQyVB4baUIBQwIVbV5v1KpoqqNVNokE3o1MZLoyneOehTr5/cR5VEaRy5WYRbNhv0N8Z5uTleVpCXnxunZGpLIVyFZeu0dcRolStMzyZabhLO8aJlZqJ1607YmhZnUy1ZhLwObOtNEVQrppcnEjTEfcxOpWlWKoRCzmuo36P0RjgWaNQdvxvzo+laAl7mF0sEPI7S2Yel8bbD3Zw4crqOqyu1iA+j8bJi/NrfhbVWp2B7jBnRpLUTWtF/c1y9vW3EPIb1Ctrf1ZBn4HbUNcsTAcn+9HX6SO2wTwuj6Hii/s5uidB0GOgq868tDfbY6Grgq7WAJn8xuNqQn4XXtfmzw66XmyW6GsPrXC+lkgkWwe5IC0h4NbpiK9vUgXQHvMT9FxfKyuKQLuBOgdNUxDYqAI04QzJdBsaf/+dyyiKk0lZEj4AlarJc69PEvC7qNUtWmM+MvkKHsNp/c7kqyiNrM6V2TxXZrP80IO97O6N0tXqpyvh5/CeBP/68d0MT6Y5fnqWuVSB+wbjIKBccQqOk9kyjx7pojPhJ5mpIIRTnGvZ4PNopHIrL8CWDZqiEPDpjSUXGJvOEW/MqbJsm8VMiXcc6qS3LcCurjCdcT+lcp2hvij/5gcHnWGtLT6ODbWypzfKo4c6GZlMk8qufC1VCB4YaqNSNUlm1y7+TWXLHN6dQNME6WxlRa3NEiGfweE9iXWFDzimljs6Qht+hgLBru7wht1ViaiXkNd4Sy2vlmXTFfetmkO2cl9gsDeCfhtqbLyG2pxJtx7hgJto0HX7Wu8lEsmbQmZ+bhOOnw3YwrlYbqm5MrbNwV0tmJbN1Hx+1d3tLT7uH0o0ZjYI1MZE76XlDsu2UYVoDBV1Oo8uTaQ3fMlE1IvX0JpZANuGmcUCXpdGMlumrzPE6GSGeNTXLKBN58pcGEvx8IF2phecwuXx2Ry66njQLKRLtLX4mJjNM58uc2Uuh6EJYkE3sZCHnrYgCJtcscpAT5iQ383//vZlphbyVGsmvW1B0vkyZ4YX+aG37eCV09N0JfzMJZ2xG5qqYGgKikdvTKg3MXQVv1dnoDvCyGS24aasEfa76GkLksoUGeiJcXhXC4VynZlOZ6nP49GYbpgh6qrgiQd6GeqLsJCp8D+/dXGVyHLpKu+6v5udnQEy+SrYEPIbuF06AqhU66TzFSpVE9uy+NF39PO970/icWtEceJXqZp43So/9fge2kIG9Q1KVyzTZqA7TLVmMTKVXnURjwTd7OoOYWgKtmUzPZ/HxjEaXBpcGo94ODKYeFO/sJxp8U52UFVFsyja59J4cH8br5yZXVVPpiqCvf0xOmO+2+IpYlk2A11ObIYnV8cmHHBzbKgVQxVS/EgkWxTp87MGt9TnR0C+XGcqWWJmPodtQ2vUS1ern4BL31KW3xaQKVQZm85SKNfwuHQGukPULZux6SyZfAXLFrTHvPh9LsZnMkzOFfB7dVqjXvo7QoS9BvlKje++NrluB5mmKrz9UAcR79Xp14qq8OVvXSJTqHJuNElPW4D9/S1MzOeZmM1h40yC720L0dHi4dJElssTGa7MOQ66tboJCMIBF21RL6GAi11dYRYzZVpCHlyGyshUhpnFAocG4sSjXv7m2fMUKyZ7eiOUqybTC/nG9HaFXd1h/uU7+ymValycyLCYKVOsOJYA2UINTRUEvAYuQ2V3T5juhJ+x2TzZQpWFTJl33NfBzEKBo0OttMV8uAToukKyUGN4MsNrF+apVOu0Rn0c3dtKR8yDYjumg9lSjYn5AufHkpiWTXvMx+4dESI+HSwo1S0ujKeYmi8wmypiLy0hJgLkChUWM2XCIRfxiI98ocbZ0SSKAnt3RNnVFaY17F63xX01gmypyvhMjlypit/nxDfic5axbBvqts1cusypywvkClV8Hp39O2O0Rbw3LACEEJRqJjOLBcZnc1iWjd+j09cZIuJ3Oe7XirPNQkPYWpYzgb4r4SfgvhPfpauxyRSq6LrCjrYg0YCrGZs3g/Sg2XxkjDefu8XnR4qfNbhl4kcILk5mOD+axOXWm+Zw4BRNHhpM0B2/Pb9W3wxLB48NnB5JcmE8CUClblEs1elI+HnpjWmiQTfVmkmlZuL3GHTEfezuibC/L8pCtsyJc3OrfqV7XBr3DcZpj3qxl71vW8A/vTjObLJIJl+mPe7ne9+fgoYTNDhdP5Zl8zM/tIdsvkxbzM//9Y9nm23HuioI+BxB8m8f303QpzM+m+Mbx68wvVjAZTgTyPfvjJEv1gj6DGp1x4H31OXFFfvpNlQePtjBDz/ci66pfP3lcc5cXkDVFKYag1AFsH9XC/fviXPpSoYT5+dJ58oc3dtKOGBwcTzDxFyeY/va+LdP7CabL/O/v32ZfKmG36MjBNRNm1yhwuHdrbzrcCd6owhZURR0XWlOT6/VGicRAeNzBb7y3AiZwjXLYqrg6J42DF3h/FiKge5ws+VdCOF0Z1VNDg0mnFqrN/HVV1UFTRMEg94VJ7WKaXH8zCypbJlQwOVkBS3I5Cv4vQYPDLXic6krhICiCKqmBTbomkAgSOarvHx6es1Oqu62IId2tbDUvS+EQG2KC8c+4U6y9H0Rwjl33OwZVV6YNx8Z483nbhE/ctlrkxBCMJ0qcubyAmKNrppa3eLE+Vn8ni5CW8wIzTQtFEUwNpvn/JgjfCwbpucLHByI881Xr1Cs1CmUa/S1h6jWTPKlKrNJgSoEPrfOzo4gjx7uYjFbZqYx0T0e9tAS9uDRlRXCB0ARgkjARSpXYbA3yj98d2RZm7aTpRCAqjmT3Y/sTlCrm7xtf3uzWyrsN/B7DQrlOqoqGJ7M8v/7+vnmxVEIE9t26pe+cn4Ev9sRYudGU2vG4Y3LC+zqct6fWbd4+6FOLNNmJJxFaRSAzyQLfO/1aWp1i4V0qTmv7NmXx5uZr+dPTnHfQIzR6WyzOy15TVbs1XOz+D0677ivHbNmYVkWlcrqE0cqX+XkxXlCfhe5YnVFK7Vp2rxydpa339eBrin4vTpjU6uni584P4vf203oBmq4rj63hRArTyq2gO9fWGChYah4rTdTOucI4IcOtKEKgVAEuVKdsekss8kClm3j9xgM9kY5fmaa0jot5FdmsngMlf39USzTbnTYbZ0fDFtqCVsikdwQsuB5kzBtm4vj6Q2bXE3TZngqs6Y4utPUTJtLE44oEMJxJfZ7dWaSBYoNI7m6aZMtVnEZzkU0V6hSrVtcnkg7HjKqoCPq4ejuBEd3J+iO+3Frytq/jG2bnZ0h9u+M4nVpPHygnQf3tdHe4mtOzFZVQcjroliqMTGXJxby8PrFeV6/MEe9blGtmVyaSBPw6sTDHnLFKu0tvuZLtIQ9PLCvja6En44WH7qukMlXVrUua6rjRF2vW6iKwsWJNIvZEsdPzzCbKnBkdwJVU/j2iStcHE+RypapmxatUS/vPtrFiXOzK5b8WsJuLl7JNGd+rcf3L8yTKazvryMUweWJNHXTwudWaW/xrSrwNS2Ly5MZ3nFfB1Nzq+u3wDnuRqbSN2RYuRG5Yo3ZxY0zpAuZEplCDaEIphYLTsyupMgWquSLNbKFCqeHFxiZym74XRmbyVLcoEBbIpFI3gwy87NJlGvrd+QsZz5VpFwzcW0xJ9hipe4U1uJksbKFCq1RL5euGTuRK1RpjXopV53C52KlhqEplComemMI5439Mhb4PDrlqskr5+aYSxbRG7O4Dg/Geen0DIVSjXjUETWlSp3Lkxnu35PA0BQMXSEe8TGfKnJhPMXXXhzj8lSGHW1B7t/Tim3DQrrE6FSWWMhNuVLH59ZRFYVYyM3UMj8cTVUoV01aIh4yhQqTcwX27oiQzlUYn8kxnyrR1xHk8Qd7KVecWVztMR/ZQpUX3pheNcqhLeZlZDJDwKfj9+jrmkpmChXS+Qr+qHfN+8tVk/lGlsW2IejV8bqDzkDRiul4GLl18qUquUKV2gYp57lkkXLNwrjB2VrXoiiC+XTphkz8phcKuF0qJ87Nrdonv9dgdDpHOl9B11XiIfeay8CVqkm+WMMdXO3aLZFIJG8WKX42Cdtaf3rzckzL3pIdIddef0zLRihiVX3FtRe/JVsT600YuwkhyBSrvHBqmkyxRq5QxbRs8rkKL74xTSzo5p2HOhmbzlKq1tnVFebyRJqw38U3XrlCe4uXH364j6+/PMbwZAbLsjm6t5XJuTy5Yo3HjnYzNp3ltfNz1EybUMCgM+Hn7GiSTL7Knh0RXLpKre50by1lbXZ1hZlZLGJaFstt/EqVOmdGkuiawt6+mJPFKNWYWSisEj7gdCPVTIu6aV9XbGwkWCx7Zbu4bTvt7wGPTsDjFI9XGvPLric3r/rt3Hz2p36DtTa6rjA2k1vzvQnhjCMByOQqhP3GukaF67lVSyQSyZtla6Ub7iFUVeC+gSGgHpd2W7xJ3iy6KprLQbbtzNOqVE2CPmPFdte6Prt0x/XXeBPvqWZavHpullKljqYIwgGDWNBFIuKhNepF11Um5vLcN9BCX3sQl642ipWdi2Ffe4hvvXqFdK6CaTpiUhECRREMdIV47fwclyczdMT9uA2VmYUC/R0hQj4DG5uJuTxdrX40VXFaxW3oaQtgWXazq6u2Ro1JrW4xlypSrZm4DW3F0NPlFEo1wgEXPo9OaYOlG1U4r7UeuqbgWcPrxm60htu2jSIg7HddN9vmces37FS8FrZtrzoW1iPoM5hdLK55X61mEWrMYKs2is/XYimrJZFIJLeCrXfVvUfwulS6EoHrbtffGUK/yaWHzcTn1mhrcYwPl0ZSzC4W2NkVXrFdNOim3LigG7qK21BpjXnxuTdOKgohMIFizWQhWyGZq6AojodQ2O9CUQQeQ8Pv1vG5NDK5Mm6Xhq44ovLgrjjVmkl7zIfPo3NpIkMk4EIIRyQUylU64z4SUR/DkxmSmTJuQ0UIKJTrvHBqmkcOdzHUF2MhXUJXnQLhlrCHt+1v44GhVp4/OYUQzmc0Obe6cBhgZqFAZ9xP2G+QzK7tQDw2k+fAzpbm8FK/xyAccBMJuAn5Xc3RGb0dQSL+9QWFoYrrGg/qmsK+/lhzMv169HUE0d5CzY9tQzTownOdz9nQFYI+VyN7tpp0rkJvW6A5d229DrRo0EPgTRRoSyQSyUbIs8kmYZk2O7vCToHwOl0s8YiHjttkzPZmsS2bPT0RFtJFSuU6hqbg9xpUqjV290Y4P5Zy/FeEoG5ZKEKQiHjxe3T29kZXdXOteG4BkwsFLk2ksWyLYtlkdDpLyO8iEnAT9LnIFpy6nuZjbKc+yuPWUBWFI3tb+eJXztAR91Gs1JsZk57WANOLBeaSJY7sSZApVJvLisVGnU++VCOTrzAymea+wQTdCT+aplKp1qnULIYnM5wfu0LQ73gFtYQ9DF9JwxqLSaoQHB6MkyvXUBVYK+FiaIKdnSH8Hp1MzvHhyZeqWDYYmjPYtC3m45HDXejK1aXDa7Esm66En8m53JrLawABr8F9A3FePDm1bvxv1XHn0R2hdeLc2jPGhIC9fTECbo2A1yC3xiR0y7YplWsM9cc4O7K45gyvJUGnihtbSpZIJJLrIcXPJuI1FB4+0MHZsSSZ4tUlEZeu0pkIsGdH5C39+t5s/G5nxtQbw0nmkwWiQReZfJXB7jA9rQFmkwVm5ot4XBqtUS99HUGGdsSIBl3kKyaZQgXLdH79twRdWJZNvlxnPl0ik6/iMlQqNaiZNSo1i8VMmUKpRnvcR1vMRzJbJtso3LUB2xZ0JgL0tQXxexTe/969JDMlJuYLlMp1RMMTKBH1ki1UKZZrREMegj6dYqWOpiqoqkLYb9De4qcr4aNuWoQDbkIBA01RmE0VuTKbw+/VeeRQJ12tAdqibn78sV08f3Kayblcs/qno8XH2w500N8eAAS/+BMHefalcc6PO11yqgIHBxI88WAvO9q96JpCqifK5ck0waoj1oQQRINuDuyMEfEb6wqfJQxF8MC+ds6OLjI1n6fa8P/RNYW2mI+hvhg+l8LDBzs4PbLI7OLVye5rHXdCERQrdap1Z8nMY6gYmnJDwsiyoKvFh97Yn/QyV+qgz2CwN0JXiw/TtNjZFVrTPRxgNlmkM+GnJdxFLl+lUFoqtIeWkIeh/hixwPVjI5FIJDeKNDlcg1vq8AxoukrNhlSmhG3beF06Ppe6JTM+ayEUyJWdjiKlseykqgqFUo1a3UZRwOvS8Lk0bGxOj6b53uuTDE+ksYCeVj/vuK+LXLHKbKrI8ESaas0iEnSzf2cLqgL/54VRdE2lWjOJhd1EAi4KZdMZl4CTIXjsaDeGptDbHsKnC7Jlk9cuzJMrVvmnF0YRON1DXQk/iYgHbOhMBHj25XFMy6Kr1anjURRBwKsz2B3m1OUkJy/P0xrxUarUiARcHN3bxo72IP/04gjj0zn+3//mMC0BF+W6STpfpVwxcRsqIZ+O16U5Rl6KQqVuUizXKVbqlCt1vG4dn1tD1wWWCaeHF3C5NDKFKrWaRb0xDkRrLPVV6xZHBlo2zJpd/UwExYpJsVLDthvxd2srHisUQb5cp1RxhOHy404IQaFS5/xYiqmFfLN+KuAz2NXlOFZfm4NZz7xMaRR0F8p1Z+SHpuJzaytElAW8MZxkeDK95vvxeXQeOdKFsG0K5TqmZePSVfxuDWWbZHykAd/mI2O8+UiTQ8lVbJtExIeO3TwY7hbhA07nmt/Q8BsrDxfXqoJXm+femOHvv325uUAU9DlT1J/56jkiARd+n0GpUqdQrpMtVpmYy/EzP7SH9hYf58ZSCATxqJe5VIkrs06mQFUEfe1BphcKvHZ+jl2dIX7ooT6e+fp5Lo6nePvBDgIenWyhRiZXIZ2r0NMWYGdniCuzOap1Z2ipoReZnMujqIIff3QX33hlgjOjSQxNoeKrMzqdY3wmx2sXFnj0SCc7WoN8//wCZ8dSvOu+dnRTEA+4YFkpV71uoSgKb4wl+cfvjVC3LHTA69Wb2b7e9gCHd7eSKdQ48eoE4BS6u916szA54DE4NtRKoVzDa1z/a2lbNh5dwaO7Vtx27TY+Q8W3rPB+6bjLV+o8f3JqlQN3rlDltfNz5IpVhnZEb6go0LKc2W5Bjw7LBqkuP8YVYH9/FL9XZ2QyQ67YcOXWFNpb/OzujeBWHUdr45rjajsIH4lEcnuR4kdyy5jLVPjK94ZXVMbs6grz2oV5ipU6Ib+L2WQRl371YmxaNt/9/gQPH+hgZCrrGCpW6s2LIziF1Hv6osynGh432Lx8ZobJ2RwA58aSvG1/O98+MUm56tQJTS8UCPtdLGZKPLivleHJDKPTjpHeYHeYK3OO0FGEoCsRYKaR6Vu6Xn/7xCQ/96/2EfDpjExlePfhjnXfd6ZU5RsvjzVbtmuwYplTUxVSuQqvnZ9DCEHQ7yJbqDC9WGxOgtdUAQq0x/sRm5zpEIrg7MjiKuGznEtX0nS0+IluUID9ZlGAXR1BehJ+ihUTG9spNHdry1rvJZK12ezvhWR7Ibu9JLcEl0vltQuOj84SuqYQ9BnN8RZgUyzVWG7jogjRHND5L97ex+HdCTKFCgKBS1fZsyPCDxzr5o3LC6TzFVRF0B4P8MKpafyNIufFTJnLE2l+4IEeBnrCGJqCEE4tyf6dLQR8Ogd2tdDfGcJtqAz2RDk7miQSdNHfGWIhXVrTffnEuTkeHGpzptZfU5slFEGhajKXKTM2k2ffrjg7O8MrhN0SYb+L0eks5YZVwFyyyFyq1BQ+4HjmvHF5gbHpHKXa5qaKC+U6M+u0ni9nM9zHLctGUwRBj0bIo+M17p7lX8ntR1UFVdNmMVdhcrFIslCl1li6lkjeCjLzI7klVOoWk9eMU2gJeyhXnToh07QpVUy8Hp266SyTmLbdrBe5PJnBUBX27Yw1Or4M0rkKUwt5vvf6FNWaSVtUoKkKRsP3Z7An0nytqYUC6XyVroSfH3igB4+hUa2b7OwK8X/9P2cA6G4L8K77u9jdG+HkxXk0zRkAWl1nXXpmocCBXS20xrwrzBwrpsUbFxaZXiiAgEuTaYrlOh0tPg4PJnhjZIH8ssyPaUKlUkcIAYpo1N9ozTEhS1iWTa5UY2Q6y77eyKaJgkrNvCHDwGy+0visbs3rCiGArWnqKdl62MDFySyXrqRWdMwGvAZ7dkTpbPHyJrxUJZIVSPEjuSUoQkFVFBQh6O8M0t0axLQsfG6d7kSAWt0inS8TD3ubRboA2DYCgSIElZrJbLLI8GSGWt1qDgFdQghBY5A3iuIsfy2nXDW5MJ7i/HgKn1vHsi1iQXdT3FyeyHB5IkN/Z5jhKcf00OPSqNZXt2CD86vT0BR624JYjYxWzbJ56Y0ZklnHdyge9uL3GkwvFp2p3rbNI4c6+efjV5pO0ZlCmY64j572IMVSjaDXwO3SUBXByJQz+R2c5T1dFUzM5ujvCOHaJP8nRdzY8wohuMFN138tRVCuOYXihXIdXRPEgm58Lk1mfCTrIoTgwkSaM8OLq+7LFau8cnYGa3crva1+eRxJbgopfiS3BE2Bvf1Rgn6D2VSRfz4+TrVm8sSDOxiZyuLSFWfIqG3TGfdzcTwFtlPz4zJUOuM+Xjs/z0BPhJ62ICcvzq94fgF43Tq5QoVipcZQX2xFXdC1CAF7d8SYSzvLO163hs+tY1o2uXyF3vYgpXKdcMBFzbTW9GLa3RuhvzOMsE3qdSdLNTmbI5kt4/fqRILOYNUrszlmG/VIuqZwdG8rbz/UwXPfn6JSMwkH3Bi6xolzs4xMZTEbJ+uAV+fgQJxI0M25kSQtIQ96o4uublq41Os7hN8MbpeKx62tO0V9ibaYF00RN39xEYLxuTxnR5Mr6ot0TaGnLcjQjugtyypJ7i3ylToXxlLr3m/bcGZkkUTUs+XmIkruDuRRI7klVKsmQzuizCaLnLy4QLlqYtlwZS7Lru4QhXKdkaksAb+B16XR1xEiGnSj6wqJiJdIwM0D+1pRBXTGfauKXwNeA8uysGyb0akMjxzuWtM0bwlFwNv2tzN8Jc3DBzo4NJggEfXSlQigqgqPHO6iVjexLGcae1vUi9etYegKbkOlPebl0cPdjEyk8XlcWJZFzbIZmcqiqQqxkIfvvj7JXKqIrqsYuvNVqtUtXj07y/mxFEP9MTpafOSLNc6PJTHNRmu7KlAE5Es1Xjg1jUtXGeqLsrMrRK7gOF1vpibw6Co72q/vFN3dsAa4GRRFMLGQ59Vzs6sKq2t1i8sTaU4NL8hVC8kqFEUwvVC47tJsqVInma285eykZHsixY/kpnC5VNxuDWNZG3W1WsdtaCtmml0cT9PfEaK71Y/PrWGaNpqqUKubxMMe3ravjZ9+YjeHBlpIZspOka1t885DnWiKIOAxGOgOc3AgjtoQDXt6Y+zrj/DY0W4UIBZ0s6MjRG9bAJ9Hx9AVfuSRnexoC3B0XzuvnJvlxLk5ZhYdA8O/fvYCsYCLx471UDNtFtMlanWTWMhNW8xLd8LPv3l8kIm5HD3tQUJep327XrfQNIXejgCzqRLVqrOspQpBLORBbxRa20C2UEOAs8Q2mSEWdNOZ8ONz67h0FbdLc9rdDZXTlxfY2xejO+EnmS0TDbrx3MBcuBtBURQMQ0XXVZbMky3LZldniK6EM77E79WJhT1EQx40VUFTFY7sSRBY1rauKOJNFZmWaxZnR5Kr6nuWnkcIwdh0luwyYaQoAlVVZDHrW0RtmHnerXEUQmz4w2Y5+VK1UUsmkbw55LKX5E1hAXOZcnMpIxp0s7snQkvYzeWJDNGAzrGhVmaTReZTJUzL4vxYih97dCemBWeGFzEtmx3tIbpaA3jcGq+dn6cl4uFH37mTar3OmcuLdCf8/OJP3sdCqsT4bJZKrc6R3a30d4ZoDXsw6yY/eKyL/btauDCeYnQqi6oIHtzXxo6OIG1RN5NzReo1kx99Rz/TCwUWMkVUReFd93cR8Bns9kTojPv5/oV5FtMlhCLojPsZ6o+iawr9nSHCXt3xZhJQrpnUTIvZZJlMocKxfW0spksMN4q1W6NeKjWTUrmOIgT5Uo3u9iD9nSE0BXRVZfeOCFdm8yxkSliW7dQNRTzYts1C2nFI3tUdQRHiLbV+KwpkyyaT81km5nKowpkL1hb1OD5ClsWxvW30dJQ4N+oYHWqawtCOKF2tASJejXrdMUPMV+rMLBbIl2r4fS5agi4CHn3DX07ZYnVVxqdSt8gVqtRNC11XCXh1xmZyHB6Iky5UmJrPUyzX8bg0Olp8BL2G7G2+QYSAmmmTLlSZXihgWjaRgItExIvXpd6QceZWQl+ja3LN7TZpaVhy7yMdntfgljs83yOuooW6zT8+N8KJczMrWtq9hsoPPdRHOODi4lgScIqFKzXHu2VHR5CFTIkrMzl6WgP0d4c5fXmBE+fmqdYtQn6DsZkc8ZCbf/vEHvbvDDO1UOLbr05gmjZej9b4NVihWrN44m297OwIcmo4xf/69kU0VcFlqCAEhVIVj6Hxb57YTTpbYS5V5LXzc5SqJpZpo+sK0aCbas2kpy1IKluiszWAADRVJeDTee77k5wfT/GO+zp578N9eHSF08NJxmezTM4XsIFLE2lURbC7N0pn3Mf3z8+TLVap1kwCXoNI0EU87KG9xc+FsSTxsIdK3eLKbA5VFWQbM8dqpkW+WOWhAx20Rj10xf0MdIbf0kVfURQuT2f52oujpK4ZcNoW8/Heh3fQEfPy6oUF/s9zI5i2k42zgWqlTmernx97dICWoM75sQwXxlMNwaKQiPkxa3X8XoOBrjCuNSbDi0atz6vnZgHHO2kmWSBXqK5Y5lKE4NBggl3dId64tLBiiU1VFHraAhzYFUMTb6Hu6C7iZs8TQjgO7K+emyN1TZOAS1fZv7OFnlb/XSWAUoUq3z4xseE2qiJ499Fu/K4b/w1/r5yLtzLS4VlyT2EC//i9YV46M7PqvmLV5JuvXuHYUBstYQ8L6ZKzvKU407iT2TKvX3AKmIf6Y/zV184zNpNb1qZq0xrxML1Y5PP/6xS/+tNHODOyQDziaXjSOEI0EfES9BkcPzONUAT/36+cIltwinYFjW4w2+kB+z8vjPH2g+289MZ0s8BYUSDoNZiczzObLJLOVbl/b4L/+2sXmuMdDF3lBx/s4fx4mhdOTZOIegn5XIw2xjJEAi7S+QoCp1j7zMgiAmiL+5i/VEIIiIU9lEo1FEWgawqL2TIBv4uzI4vMp8sEfQaxkJt8qUa5YqKpKh6XykB3hB1tfurVmz9hKApMJYv8r29fanabLWdmscD/891h3vtwH3/99XNU66sviNnRFF73KEf2tDaGjToZMVVTmFooUCjW8Lg1NE1loCvE6t/ejsh0/ucIn+wayxgel0a+XOWN4cWm1hNCUDctMsUK4ydzzKSK3LerhZDPwGto0ghxDco1ixdPTZNfw7SyUjN57fwchq7S1sgw3g2EfAbxiJf51Pp+VB0JPwGPhi01jOQmkDU/khtiNl3m+NnVwmeJYrnG8GQaz7I6EYCg38W5UScb1B7zMZ8qOQZ7y87Bi5kyPo+BqghchsLrl+bpTAR47vUpLoynGi3XguHJDN95bYJdPVFeemMaXVtbuwugVK7z/QvOcpqqCNpbfOzpjRILu/G5dWwbUvkyyWyZSPDqiIhqzWmX7+8MUTct6nWL08OLTv2EELgMlaDPRXDZCIazo0kSYadTqyvuxzQt6pZFxO8i7HcR8OrkilXm086v8myh6pgeVuoEvDphv0E06OHvv325KeZuGgEvnZlZU/gsUa6avHxmxin+VgRdCT97eiMMdIeJBJxYuHSNV87MoGsqPe1BLk5mePblcS6MpxmdyXJmZJG//85lXjwzS/2aC6ptQ8jvwmWozmiRdeo3dF1tCMsMNdNCCMeAcXQ6y/RCnlyxyslL88wki3zzlStcmc+zqZXgdyGKIphaKKwpfJawbNspuL9LhA84F6b79ySIhT1r3t/e4ufgzhYpfCQ3jRQ/kuvidmucurTARlnzat0ZbFlqDP0EJ4tSLNcoNcz84lEvF6+kVnVx2DZkixV8Hp1IwI2iCIYn0xwdaqM16iPdmNcVC3t4cF87pXKdidk8oVWzxRrPh7PsdurSAnt6oxzd2wYIphcLTMwV6G0P8vixbsJ+F5cnnDEOyxmZzNLdGiAW9pAv1ZhZLJDMVRibyTI2k8OyLHrbQwS8BobmzKPKFWscGowDjhD0e3QSUS/pXJn9u+JMLxSaQ1qX3nOuWGMuVSIScnNhPMXwdJZkbuWyxZslXagzPJHecBuhCF47P8+RPa08eqQLj0tjMVMmV6yxqyvCu+7vIuQ3uHglTUvEw9nRJOMz2VWdWZZt8/qFec6MJFcVnfpcKv1dYbL56podXbqmEPIbFMs1ipU6xXKdqmkzOZ9b4XxtmjZzySIuQ+O183Msyu6eFZiWzXhjzMtGpLJlCtexNthquDWFh/a38fDBDjpafMRCHrpbA7zzcCfH9ibQ79KCbsnWQC57Sa6LEIL8Bp46SyykSwS8OroimF7Io6qCcqMjShECr0ujVDExzdWXQ9O0m1mIYqlGNOTmn54fbT4eYHQ6i6ErfPBH9pMv14gE3GvvL04GZ8+OKJl8lW+8cgXLdqaEZ4tVLk+kCXgNHr6vgwvjKWeu1jLqpoUiBN0JP8VyjcVMGbehNkXceLlG0GfQ3RogmS2RK9So1kxqdZNSxfEOemCojdnFAqVKnYfv62R8OsdMcmXGSxEw2BuhMx7gxVNTAJQq62dsbgTTsjfM+gDYts2u7jDZQpV/en60uSwIMDyZoSXs5kffuZOQ30DXFMZn1r+41k2LK3M5dnaG8bmWDVA1bXZ3hZleKJI+W17xmQugMx5g/84YX3txtLHfFtl8dcW+LFGumgS9jkfThfEUsf3tSGtfB9Oyb6iuwsaJ8d2GJgStYTdtUQ+27Xxn1jp/SCRvFil+JNfFsmzCAdd1t6ubFh6XxoH+CMlMiKmFPAhBPOwl4NNxGRoe19rdGbqmUCzXaQl7EMBzr0+tED5LVGsW4zNZR2Rpa//ys3F8gQJene9fnF8xmkIRgrplkS/VeP7kFD9wrIfXrzFUNHQVVXVGadRNx4Tx2mtytlDFsmx6WgMspMvEI14ENnt6o7gMlflksSmWSqUqOzqCRENuphecjia3S6Mr4WcuVeTFU1PNi77P/da+kqoi1hydsZxo0I3b0HjtwtyaYiOVrfDy6Rke3NfO9GJhRfyuRdcUTNNmPl3C3xZYUVOiKtDfESQcMJieL5ArVTE0le7WAJoqSGXLTfdtVVHI5NfOenndWrMmayFdolit473BbqB7HVUVGDcQCyGcgv67EdsGuyF43tpPA4nkKnLZS3JdKpU6B3a2oF/HjjcednxyFFsQD7k4PBBnb2+E7oQPQ1Uolqoc2Blf9TghwO81yBerBL0GUwvFNYXPEmMzWSIBz4b+HuGAi/l0GcHVcQ6maeE2tEZxrU25Use27VVOx3t2RMCGU5cW8bo1OuN+SuXVNRX5Uo1iqU5n3EdfexCPoZHOlRmfzjaFD8DFKxnaYl6+89oEuaJTCF0o1fjOaxO8cXmxKUD6OoJEb0BkbkTYZzCwbObZWiTCXpKZEplcZc37Tcsmna9QNy3c+sZiLOx3YVk21bq5ajnKNG3CfoMr01nchkpHzEc04GJ6Ps/IZIagz8BlqGiqgtulrWlqp2sK8bC32TZvWnI22HIUBH0dwetu1xLyrsjMSSTbHSl+JDdES8jFw/d1rnu/Ajx2rJeY36nDsW1HbLg0hV1dzsU4V6gSj3ro61x5sk5EvWQLFSwbNF2hWHZaxtdjbDpDb1sAfY026yWiARduQ0XgCCEnU6TidWv4PTqGrhLyu5hPleho8eL36vi9Op0JP/v7Y4zNZEnnK2iqYHdvZN3sR6ZQob8zjKLAYqZEZQ3RlitWSUS83DcQZ3I+z+h0lsn5PPVl6XtdFfzA0Z4VxoI3g2VaHNvbumEGKeAzcLv0DYtkBY64i4XWXloEJ7u2VN/l8+hrdhIFPQbdbUEy+QoL6RLJbLkpcjL5CkM7Yo7TtyZQ16jh2NsbJVe8KtIMXUWVRT9NbNumteGQvh6qKti9I4IskZFIriKXvbYRiiKo1i3qlo0QzpiDG/VPUWx44lgvhqrw3MmpFcsq0aCbx4/1cP9AC7Wa1XytUtVs+PwEsIEzo4vMzOX4Fw/38dxJp5MrFvLg82hMzhcY7Amzoz3IpfEU6aCbVLZMpWo2qzsEYDS6rRbSRR4/1kO+WGMhU8KlOT4/lVqNntYg/V1hUrkS7XEf88mSc8Fs1EcbmoJQBJGAi1K5RkfCz9nRFD6PzqHBOM+dnCTodfH2gx3OgNa6yf17Wjk9skh52ft26Sr7+mPs3RFB2E6HWbZQwWVoCOEsQbkNDb/PKYz+8XcPEPTpvHBqZTdWa8TDex/uZ09PhFrjdqEo5Mo1sG3choZLUzCXZUYcJ2lnaCiAS1OaxoiJkIufeGyQr780xvTiVb8qRcCOjhA9bQFmFvPcNxDnwniK3LIJ9KoiaI152dkVxq0rdLU6w1+XZ7IUAX6fi9aIFwG4DZVY0L1ORsbmQH8URRGMT2dXZHcKxRqHdifobQswPJkhFHAxl3Ram12Gyp7eKPGwh4llBb0dcR9e140ft9sBQ3PMPU9cmGM+VVzxOfg8Ogd2tRAPuu+aNneJ5HZwV5gcptNpnn76ab71rW+Rz+fZvXs3v/Zrv8bRo0cB+OAHP8jzzz+/4jEPPPAAX/ziF2/q9e41k0MhHC+Q8bk849OOW7KqKLTGfPR3BAn5jBs2QFN1lfl0mdHpLIVKjWjATVfCTyzool41URRBMl9leDLDQqZEa9RLqeIUAwf9LorlGgin4FVTFUanshRKVTriftpiXiJ+F18/Ps6Z4UXKVcdRuVpzBJBLV9FVBZfuOCU/8cAOkrkyk/N5JmZzKIpgR3uQzngAlyZ49vg4tg11y6JcMSlXTRQFfG5nBEalZhENutnfH8VCYJoW04sFhBD0tYe4PJFkdtG5mERDboI+F9lilVKjZifsN5y5XDsi2JZNruK0yV+ezGBbNoqq0BJyEw97mF0s4HZp7OwO4zY0LoynqdTqxMNeOuK+pqMyisLUYoET5+cYn8liWc5rHxqMM9AZRlecmqa5dJnLk2kyuQo2EPQZ7OwK0xrxoOAYHZZqdeYzZaYXCihC0NUaoCXoolyt843jV0A44ilXrJEvVVEVQdjvxudWwXYMER8+2MHJywu8dn6OWt3CMFRcuoqhCmzbEaQHB+P0twc3PIaEIihU6synSpSrJj6PRkvQjdelYWNTrFjMpoqMTGdRhCDsN8gWqiymS83n8Lg03n6oA79xb/5me6vnCRvIlWrMp0uYlk3Y7yLid+HSFSkWG9zpc/F24G4xObwrxM9TTz3F/Pw8v/3bv00sFuOLX/wif/u3f8v//J//k/7+fh5++GE+9KEP8fjjjzcfo+s64XD4pl7vXhM/pZrJC2/MkM2vrvHQNYWjQ220hdf75b42mubMijJNq9l9IYRgYqHAifOzWKZNT0eQc6MpxmaygHPxGugOU6qYLKSK7O2LEg25yRdrZPMViuU6O7tCuFw6r1+YZyZZoFiqs7w/3OvWaY162b+zBYHN+bEUmqrg8xrouko6W8KsWxwdamN8NsdsI/PhrJSIxtNcfaPvONRJIuTGsmw0DVRVw7KgWq/z/KmZVSZrbpeGpghMy6ZUqfPOw53Eg27mMmVePj3TWK4TzKaKpHMVbJxi8bftb2dyNketbjHYE+HArhZs26ZQrmFbznKOoaucuDDP118aXbMQeagvxnsf2sHF8RQXxteeeL2jI8TBnbEV69laY3mweewJwQtvTDPbyLIoCgjhbLM8u/T2+zpJhFyYNlyezDA6nQVFoVRyir29bo3B3ig7WgM37EjteDY1iliveYyiCMp1kzcuJ5mYyzUv2EI4Zpn3DbQQ9hn37IX8Vp0nlmZ62basj7qWO30u3g7cLeJny/+EGhsb47nnnuOZZ57h/vvvB+A3f/M3+e53v8s//MM/8OSTT7K4uMh9991HPL66mHbbIwSvX1xYU/iAM2H7xLlZ3nWkC8+b6KCp11fXtuQrdb5/Ya5R6OpidrHUFD7gtCzPLBZZSJewbJuXTs/w+AO9zC0WmzU1lycyPLC/nUTUg64JKjWrWUfjMlRcmkLQbxANunmp0R5eNy1yhQoej3NhtIHXL8xxZG+b01FUM5tFzsvpTPiJBlzNi2m9DvW6s7yjCBjqi/JCvky1dvULvHzZq7stSMTvolQzOXFulmrNRAhBplAltcyvJ52rcOrSIoPdYWYW8hTKNc6NpZmaz5HNO5kbv0enLR5oirW1GJnKcG4sxUjDbXotRqecIaq9rf5l72vlCUhgM9QfI52rUKmZOB3QK7dxYmM47cXA7u4wve1BilWTXL6Cq1Ez5TWUN9V6vNEF2bJsDEXhyGCcge4w6XwFbCerFfDqqIJ7VvjcSmSMJJLrs+ULniORCJ///Oc5cOBA87Ylx99sNsv58+edZYq+vju4l1uXXLm2oUU8QKVqMpssvqUp0KoqmJjLN1uSg34Xl6+5SHtcGnOpUrPQ17RsxqezKxyWAc6NLnJ0bxtdiQA+l0bIpzvjDVwqHXE/Dwy1c2EsuaHTS7VuMZcs8PDBDqd9vvHWhBAYhsqOzjBDfTEqNWvN923bEPUbPHSgg5bQ1ce7DZWe9gBH9rYy0B2mZloks2WKjY4xy7ZXCJ8lphfyGIZKR8LPTLLI/3lxhFSujNmov3K7NOaSBQJ+g/c+3MdAdxjPNTOLOuN+Xjo9TeU6v6aGpzLUN7gA2jaEvToPHewgHvVg2TbVukXNtDEMlYGeCIcH4isKiy3Lxms4Izj62wMkQm5cqtgczxXbJuDW6In76En4CXmdIaoyiyGRSG4VWz7zEwwGefTRR1fc9tWvfpWxsTF+4zd+gwsXLhAIBPjUpz7Fc889h9fr5T3veQ+//Mu/jGGs7QB8I2gbdBK9WZbScDeajrtVCAG5ZA0britsZpMlBrvDN/2r0Qbm01cFlKo6U82Xt6NrqqBQrjU6dpxYzKVLtLf4VuxfvlgDy+Jt+1rJlerO3zjZEb9XI1+qk85XVjxm6f/Lb5tNFhnqj/LIoU6yxRrFco1y3aJcrjOfKvCN4+NomkJbi4/dPRFCXmPVUkwi7CZ6uJNc0ZlGninUGJnKMDU/j2XZJCJesqUadcsxUazUTCqNDNC18SmWa7gNjTMjSVRFYFoQ8RtEwx4ujqd55fws+UKN3vYg0aCbof4Yc8kiE3N5wOnSOnV5Aa9bx7VBN1euWKVStwhssI0Q4PNodCUChHxu8uUamirwewziYTeGrq7qDlo6fhVFYZ3JIpvE9mhTulPnie2EjPHmc7fEeMuLn2s5ceIEH//4x3niiSd417vexW/8xm9QqVQ4ePAgH/zgBzl79iyf+cxnmJqa4jOf+cxNvYaiCCIR3y3ecwgG155Ts5lMp53loOthGCrB4MbeORtRrZu4XDoeT8O0TlPRtZXLaKqqoCgCRYjmfZqqYBjaqn00XDqRsI9IePVr1czCuu/J5braKu7SFWwUSjULVVNQNIX5+RypnDNR3d14joVMhdz5eR7a305H3L/m84aDHk6PLHJxIo1tX30dVVcpZ0pMLRToag2gNd73WlmKUMDNudEkuqaiKAK/Tyce9fG916fIFipUqxZCCBbSJRQhGJnK8I5DnVgWzKdLqIqCEE4MN/pMFQEet04k4l13m4V0iePnZpr+OariFDCnclWuzOXZ1RXm0EAcw1i9FHonjuPthIzv5iNjvPls9RjfVeLn2Wef5SMf+QhHjhzh93//9wH41Kc+xUc/+lFCoRAAg4OD6LrOhz/8YX7913+dlpaWN/06lmWTzW68VPRmUFWFYNBDNltaUVB6O3BrgnK5et0lg1BHkGy2dNOZHyHA79aYnnPakut1x7uluMxAsFoTuHUVG6g1aoaCPoNisUqpdHV8httQsS2LVGrt+hfbtFCwmxducASry6VTqdSwLJu6ZVPVNU5enGNyLk+1bjGbLNDbFqK7LcDkbHaFz06pBMdPT/OOgx1r+qFkizVeOzuzuhC5McD0bKXO1FyezoTPGa9xTU2UADyGyuxinlrdxOPSiAbcvHpulmzBqcfSdYVqzaTQyMJUayYvnJzi0fu7mFrIky1WaYt6URWxIl7XEvAZWKa5bvwQcOLcHAsbFPW/cXGOaMAgtsx08U4ex9sBGd/NR8Z487mTMQ4GPfdOwfMSX/rSl/jd3/1d3vOe9/Bf/+t/bS5paZrWFD5LDAwMADAzM3NT4gdWF4neCszGlPDbic+lEQ14mE+vL+Z0TaEt6qW6gavyjdCV8HNpPIVp2WRzFXa0Bzk9vNi8v1SuE494WUyXnCGfwnE1npzNrRBdHfEAbk1ZN1aGJuhuDXBm2XMvYVk2ddNmYj7P2/a3NQuI0/kquWKNN4YXWMyWObgrxthUdsVj51NF0vkKwWuMBlVVYXQm26xnWk6hVCMe8eB1aRRKNWp1i7Dfxcw1wqI16sOybCzLKfptCbnRVIXZxUKzdsnv0Sks89yxgWKlTiZXJew3mJrL8dDBDibnclgb1NrsaAuiCbFu/Io1k6m5/HWF7uWJDJHd8VXb3YnjeDsh47v5yBhvPls9xlt7Ua7BM888w+/8zu/w/ve/n6effnpFLc8HPvABPv7xj6/Y/tSpU+i6zo4dO27znm49FAEHB1rwrlP/oSqC+wbi+FxvXQcH3Br7d7UgBKRyZfo7Q/S0Bpt1OJqmEA4YxEJuhIBDgwkq1foK9+RYyMNgz8raI0Vx/i1hmjb97UESy5Z1lu53uq0q9HUEsS2anVrFZeMpphfyLGYqBLwrl45sm0ad0sr3Zdk2i5n1p60vpEscG2pF1wTVmkVb1MvOzhA+tyOifB6d+wZayOQrtMa8tMd8tITdpBudXksYmkoo4MLn1leYIC5kivg8Oi0hD0N9MXoSgXX3paPFT09rYENhU6maawq5a0nnytTuwBBJIVj1GUgkEsmtZMtnfkZGRvj0pz/ND/7gD/ILv/ALLCwsNO9zu9380A/9EJ/+9Kc5ePAg73jHOzh16hSf+cxn+Pf//t/j969dv7GdsG0IenTecaiTSxMZpuZyVKomqqrQEvEw2B0hFrxxk8ONXwz62oK0Rn2kchUWsyUePNDOQCbC1EIey7LQFcHunggdiW5yxSrfvzCPadnEwx4GeyPs6nCyFgAogsWcMxbBtqEl5CYWcqECGoIH97cyPJ3j7GiSmWQJRanQmfBz/95WqtU6E7P55q5dezEdnkxzZDBO7gam1QuxccltvlhDUxT+9eOD2AhSmTLBco2hnS2EfM5k9JGJNOGgh/v3tDIxlyfk0zEtp33/6kgMm6BXJxp0k8lXHdFo2XhdOkf3ttLbFsSjCg7uaiEa8nB5Ik2uUMXGxu816O8I0d0a4Doj2G5YWCx58twuhCIoVkzS+TJ108bn1gl6dQxNmvRJJJJby5YXP1/96lep1Wp8/etf5+tf//qK+973vvfxe7/3ewgh+OIXv8inP/1p4vE4P/uzP8vP//zP36E93nrYto1XVzm0K8bu7jB1y0YRAo+hIrCxb2FmsmraHD87y8mL8+SKNQQQj3rYuyNKf2eYsM9AKIIT5+dIZkp0twZQhOMBNDqZJex30RVzk8zV+eZrE1y8kmqmTjVFYWdXiHfd301r2MP4Qp7Tw0mqNZP2FqdA3bJszowkGeyJYOgK1ZrlCECvsaJGKFuool5TkK2pCiG/a3V9lA0dcT8Ly9yGr6WrLcDFK+mGOWMR0Rg10Rrz8r5Hd5KI+bgwnqJcMZlPl0hmS7zjvi40VUH3qOQbNTwhv4tExEs87KGnzcnwPHSgnV0dAarVxugQYEern44WbzOzZWjKDYsEj6GtGlmxFomoF00Rt0V41G04e3mRK7PZFb5KQZ/Bvv4W2qLuW3qcSiSS7c1d4fB8u7nXHJ5vFybwtZfHef3i/Jr3u3SV9793L8+/PsW5seSa2wQ9Bj/z3r38r29fYmYdw7+2qJcfeedOvvD3p5hPO8tRAqcFOxH1MD6TozMe4PFjXYxPO3U9dctmdNlsKZeu8uiRq/cDdLUGOLY7seYMpHLN4psnrqw5uHRXT5ixmTxff3kMRYgVE+l7Wv30tAbJlqp0xrxNX5xCuU7QZzC9WKBQruMxVLwenYBHX5Fl8nl0Hj3ciXEL20YVRfDGaJILY2u7RIMjBN91fzf+ZZPAN+s4toDvX1xgfCa75v2qInhwfzutYc89PZ9qu5wn7iQyxpvP3eLwfFfU/EjuDmZTJU6uI3zAGeFwejhJMrt+/Uxb3MeJ83PMLq5foB0NeXju5BTlymohUqmaBLw6o9MZZpJFAj6nrkdXFTpa/KiN4qDWmI9Kddlw1pCbAztj615cPYbC/XtaV02SVwCP2+Cbr15p+vwsZ6AnystnZ7k4nqZYvXoi8Hs0EDbHhtoI+QxiYQ8hr7FC+LgMlfv3tOJ+E87bN4Jl2Qx2hWlvWXtZWFUFh3bHN/QJupVkCtV1hQ84ZphnRhapW/JiJZFIbg1bftlLcnegaQqvX5rf0HW5Nerl1XMzxDbwf+htD/Lsy2PULBttHWPGeMTDP3x3mEjQTW7ZUhY4y1mJiId0rsIbw4s8cqjTqYuxbXxulR3tQTKFCnv7oqTSJcIBF/2dIdpjPvQNjCBtG9oibh490s3odJaZhTymZdPbEeRKY6hqoVRbsWQW9ruoVOvN5bZ8sYon5Gp0fIFZt5may3FkdwJFUUhmSlSqdTRVoSPuo7ctiN+tbcqyk6YIju5JMJsKMDyZplCqoSiCRMTLjo4QEZ9+W5a7VFUwPJm57nbpXIVcqU7Yq193W4lEIrkeUvxIbgl10yaTW3t+2BK6rpIrVAl4jYbD8eqLq6EpLGbKBHyuNZ7BQVUVFrNlWsKrTfxM06JYrtOVCJAvVFcU7Nq20yb/7iNd9LYFsUwLTVNuuK7FssDvUjnYH2V3TxjbsgkGXXzp/5xvulAvx+3SVhRUlyp1hPCwfI5WrW4xOpVhqD/Go0c6qVVNhCJwNep3NlOAqAI6Y17aox6qdcsZs6Grm/66y7FsKJRXx24typU6SPEjkUhuAVL8SG4JiirQ9Y0PJ8uy0DUVTVVWtLcvx7RsPC59w+4q27ZxGSr2OnmmdL5CyGcw0B0mFnJTKDgCJBpy09ceIuTTHROdxhLWm73QW5btZIkU4Sx7reGCDM7A1eUu15qqrLusZts2KiBucp9uFtu2EYDrNr/uEooQ6OqNLetdu+QokUgkN4s8m0huDRbs3xnbcJNktsK+/ihKY5TCWsynihzc1YK6Qb92Nl/hyGBixYT1a8kUqrS3+NnXG+HRw108criTIwNxQl792uHub4liscbBgfiartDJbJmWkAdNVXAZTifZWuJCEYL2mG9btnNblk1ve/C623ncGn6Z9ZFIJLcIKX4ktwTLsuhJ+GmLbjBPKlXkvsEEG/2APzO8yNsOtOPdwHRxfCbPI4e7KZXXFz8hn8Hh3XEqFRNVgCY2r2W7Ner491yLZdlMzOXYsyNCb1sQn3vtDEdbi4+AZ3te2G3bJh5yE/Svv8wJ0N8ZwnOLC78lEsn2RYofyS3DZyj8q0d30bFGF5GmKLzzcBf9bUF+4IFeoiH3qm1cusqj9/fQnfDxL9+5k8Aawzt9bo13Hu5koDvATz4+iM+tIYSTzLEsZzBoPOzmyfcOkQhefbymKU6ljSLQbvHyiSEEP/HYAD/yjj4O7mphqC9KuDET6+KVFI8c7uTtBzvXHEnR1uLj0EB80+aWq7rzvi3h1FxtRQxN8MBQK6E1BJAiBAPdYXZ2hLZlZkwikWwO0udnDaTPz82jKFCsWkwtFjk7ski1ZhKPeNnbFyXmN8B2CpazpRoT8wXOjyUxLZuOFh+DvREiPh0sUFVIFeqMTmcZmcpg204n2M7OEGG/gVW3UAyYS1U5PZxkZCqDImBff4z+zhBtUS+VUg0LmMuUOXlxgfl0EU1VGOyJsKsrTMSn35LPw7QhlatwYTLDQqpEOl+hM+4jHvbQGvXS0hB62UKV0eksxXINj0tnR3uQsN/YnF8gCixkq7xxeYHp+QIo0NceZPeOKLGAC+sm3vdmHsdCOAaZyWyFsZkstbpJyO+mp9VPwKsjtsFZajudJ+4UMsabz93i8yPFzxpI8fPWURTQdQ3btrFtqNVWe/IoioKuK41tbGq11bHRNKUxt8tZtroaP8H3Tk/z5W9c5IGhNjpbvCAUzo0mGZnO8P/64SGGeqJ86/uTvHx6imuTBkGfwb98ZCc7Ev639JnULJsT5+eZXrg6SsMwVGzbMSi8f3eCoEdr1jgt/2Ju2sRjRfDq+Xm++cqVVd44XpfGex7uY09XGOtN+ubcjuNYCCdGS/HaTpO3t+N54nYjY7z53C3iR3Z7STYFy4LKdcYnWJZFpbLxl2OtL4+mKZwaTfFXXz+PZcH3Xp9CQHOkhA189YVR6qbF8dMzq4QPOFmYv//OZZ58716CNznUVSiC05cXVwgfgGrD4TldMzl+ZoZ33teJ3ijg3uyLuaIILk1n+efjY2u+72Klzle+N0zkvUPEA6uXFe80tr32Zy6RSCS3ElnzI7nrKNctvvvaJBslLtpb/Dx/cpqWyOraoiWyhSoXr6RvugaoUK4zOZfbcJtsoUoyV7ltA0Jrls3xM7NrCp8lKjWT1y/N3fLaJ4lEIrlbkGc/yV1HtljjjeGFDbfx+wwuXEmhXcdD5sJoiupNZBqEcOp8ajfw2LHZ7A2nYt8q+VJ9w1ERSwxPZsiVNs7MSSQSyb2KFD+Suw7Tsqmv0Tm1hBBOC7Vp2usaIS5Rt6wNM0jrIzBv8IH1+u0rq7Nse03n7Gsx6/a6RpMSiURyryPFj+Suw9AUEpH154PZtjPlPex3XbeFPBJ0Y+hv/mtg2zb+NVrx13yNgHHbppHrmkJog9EgS4QCLlzrOFNLJBLJvY4UP5K7jnjYzQNDbRtuc2U2x7GhVrKF6obbHRqMY91kEXLQZxD0bSyAVEXQ3RrE3CBTdSsJ+XT29kevu92hwTiu27QUJ5FIJFsNefaT3HVUy3UePtjBjg3GIgR9Bg8d6Niw0Pj+Pa20b+BIfT0MVbB/ZwvaBiJioCeCfx1n583ArFncv7uVRGT997WrO8KuztC2aiOXSCSS5chWd8mWQ1EENdOmVDWpmc60cZemoghniKhl2bQENH7uX+3ntfNz5Es1FCFACEzTJBbycGR3gpBH41//wCDPvT7Fpcl0s4U6EnBxaDDB/XsSvBVZYlk2rWEPbzvQztmRJMlsqelP4/fo7OqO0Nvmv6WzxG6EkEflJ989wPdOTnF+LEml4bEU8Bjs29nCg/tbMdYaRiaRSCTbBCl+JFsKW8DYXJ4LV1KMTOXI5MsoQtDTFmR3bwSXptDbHkSYAp9LpTXiJVtIkypUUAREg246Wny4NYV63aI15OLHHuknla+SL9XQVEHQaxDy3hp3Z9u2iQfdRA+2UyjXqdRMNFXB59ZwacodGclgWRD0aPzI23fw9oMd5EpVFCEIeHUiPkP66Egkkm2PFD+SLYMt4Nx4mrOjSabmC+RLV+t1Ll5JMbNY4O0HO3j13Cz3DSR4+fQM6VwZAUT9Bh6PQalU5dTFeVKZEod3J3AGetlEvDqRZVPBb6UAsG0bBQi4NQLuq1+pOz2LyqpbhDwaIc/VfZLCRyKRSGTNj2QLkS3WuDieIleorhA+S+SKVc6NJfG6dV6/tEAmX1n3uSbm8sylSojb5S4okUgkkrsGKX4kWwJFFYxMZTAtm1RuY1ET8Bq8cXn+un42lyfS0stGIpFIJKuQ4keyJTBNm0yugmnZ1Oqrh6AuUTctaqZFJl+9rvgplGo35d4skUgkknsbKX4kWwIhxLIlqo2XqhTHwvkGnvO6TyWRSCSSbYgUP5ItgSKgPe5HUxU87vXr8H1uHUVARyLQnJS+HrGwF7cuXYwlEolEshIpfiRbAsuy6Wzx4dIVogH3ugmbnZ0hFtMlju5JbFjMrCiC/s4g9h3uuJJIJBLJ1kOKn22GoghUVUG9TtbkTuB3q9y/p5WQXyce8a4SQH3tITriPgJ+F7u6QuzsCq35PIoiODgQJ+q//owriWQjrn5f5KlSIrmXkD4/2wShCPLlOtMLBXLFKoau0hn3E/LqW6YsxrKgLeLh0cPdjM9mGZ3OkspV0FSFnV0hIn4XkYDbETW2zb4dUdpiPoYnMuRKVTxunUTYzY62IGGfIbM+kptGCEGxajKXKpLKVVAVQUeLj5Dfha7cUMmZRCLZwkjxsw2wgXNjKS5dSVNfNs/p0pUUrVEvh3cntsyQS8uy8btU9u+IMtgVxhYgEICNrioNQeNceQTQEnARH2qlbtv4fS7q1Tq1mnnbpqhL7kGEYGw2xxvDi1RrVzsPL0+kiQTd3L8nQcCtSQEkkdzFbI0rnmTTUBTB5aks50aTK4QPOL9eZxaLvHp2jts0dPyGsSwbTRHoQqAJ0IRYN5Nj2zYuTcHvNaTokbwlFEUwkyry2oW5FcJniVS2zEunZ6jU5XEmkdzNSPFzj1OqmlyeSG+4zVyqSLqwvrGgRLJdqFs258dSG2Z1coUqM8kCihwOK5HctUjxc4+TKVQpVerX3W50KoumycNBsr0plOuks+Xrbjc6lcWUWUaJ5K5FXu3uYYSAyhqp+7UoV+uyhkGy7ambFjfyNaiZ1nUdxiUSydZFip97GNsGj3FjNe0+j379jSSSexxNVbiRWbguXUVT5OlTIrlbkd/ee5ygT7+usBFAb3sQ05RzsCTbG59bIxb0XHe7vo7QlrGIkEgkbx4pfu5x3LrKYE9kwxN1R8JPyGvctn2SSLYqqhDs2RHd0AQ0EnSTiHhkZ6FEchcjxc89jmXZ9LT6uW93Arexcs6Vqgp624McHojLA0EiwbFNiIddHBtqW5UxFQLaYl4e3NeGLju9JJK7mnvC5NCyLP7kT/6Ev/mbvyGXy3Hs2DF+67d+i+7u7ju9a1sCYUNfW4C2qJdktkyuWMPQFeIRj2PWJle7JJImtgUdUS/Rw52kclUyBcfhOR72EPBsHUd0iURy89wTP/j/9E//lGeeeYbf+Z3f4a/+6q+wLIuf+7mfo1qt3uld2zLYlo1bU+iMednbE2ZnexC/IYWPRLIWlmVjqAptETd7usMMdIYISuEjkdwz3PXip1qt8j/+x//gV37lV3jXu97Fnj17+MM//ENmZmb42te+dqd3b8th286J3ZJtuhLJdZHfF4nk3uSuFz/nzp2jUCjw0EMPNW8LBoMMDQ1x/PjxO7hnEolEIpFItiJ3fc3PzMwMAO3t7StuTyQSzftuhlvpdqw2hoaqW2R46L2IjPHmI2O8ucj4bj4yxpvP3RLju178lEolAAxjZau2y+Uik8nc1HMqiiAS8b3lfbuW4A34h0jeGjLGm4+M8eYi47v5yBhvPls9xne9+HG73YBT+7P0f4BKpYLHc3PBtyybbLZ4S/YPHAUcDHrIZkvSSHCTkDHefGSMNxcZ381HxnjzuZMxDgY9N5xxuuvFz9Jy19zcHD09Pc3b5+bm2L17900/b71+6z8007Q25XklV5Ex3nxkjDcXGd/NR8Z489nqMd7ai3I3wJ49e/D7/bz00kvN27LZLGfOnOHYsWN3cM8kEolEIpFsRe76zI9hGDz55JP8/u//PtFolM7OTj772c/S1tbGE088cad3TyKRSCQSyRbjrhc/AL/yK79CvV7nE5/4BOVymWPHjvGFL3wBXZeTyiUSiUQikaxE2HI63yps+9abmqmqIgvsNhkZ481HxnhzkfHdfGSMN587FWNFEQhxYz7sUvxIJBKJRCLZVtz1Bc8SiUQikUgkbwYpfiQSiUQikWwrpPiRSCQSiUSyrZDiRyKRSCQSybZCih+JRCKRSCTbCil+JBKJRCKRbCuk+JFIJBKJRLKtkOJHIpFIJBLJtkKKH4lEIpFIJNsKKX4kEolEIpFsK6T4kUgkEolEsq2Q4kcikUgkEsm2QoofiUQikUgk2wopfjYZy7L4b//tv/HOd76TQ4cO8R/+w3/gypUrd3q37lpmZ2fZvXv3qn9/93d/B8DZs2d58sknOXToEI899hh/8Rd/cYf3+O7iv//3/84HPvCBFbddL6byGL9x1orvJz7xiVXH82OPPda8X8b3+qTTaX7rt36LRx55hCNHjvDTP/3TvPLKK837X3jhBX78x3+c++67j/e85z185StfWfH4SqXCJz/5SR566CEOHz7Mr/3ar5FMJm/329jSXC/GH/zgB1cdx8uP9S0XY1uyqfzxH/+x/eCDD9rf/OY37bNnz9pPPfWU/cQTT9iVSuVO79pdybe+9S37wIED9uzsrD03N9f8VyqV7GQyaT/44IP2xz/+cfvSpUv2l7/8ZfvAgQP2l7/85Tu923cFX/rSl+w9e/bYTz75ZPO2G4mpPMZvjLXia9u2/ZM/+ZP2008/veJ4XlxcbN4v43t9PvjBD9o/8iM/Yh8/ftweHh62P/nJT9oHDx60L1++bF+6dMk+cOCA/fTTT9uXLl2y//zP/9weGhqyn3/++ebjP/axj9mPP/64ffz4cfv111+3f+zHfsx+//vffwff0dZjoxjbtm0/9NBD9jPPPLPiOE6lUs3Hb7UYS/GziVQqFfvw4cP2X/7lXzZvy2Qy9sGDB+1/+Id/uIN7dvfy+c9/3v7RH/3RNe/73Oc+Z7/jHe+wa7Va87Y/+IM/sJ944onbtXt3JTMzM/Yv/MIv2IcOHbLf8573rLg4Xy+m8hi/PhvF17Is+9ChQ/bXvva1NR8r43t9RkdH7cHBQfuVV15p3mZZlv3444/bf/RHf2T/5m/+pv2TP/mTKx7zq7/6q/ZTTz1l27bz+ezZs8f+1re+1bx/eHjYHhwctE+cOHF73sQW53oxXlhYsAcHB+3Tp0+v+fitGGO57LWJnDt3jkKhwEMPPdS8LRgMMjQ0xPHjx+/gnt29nD9/np07d6553yuvvMIDDzyApmnN2972trcxOjrKwsLC7drFu47Tp0+j6zp///d/z3333bfivuvFVB7j12ej+I6Pj1MsFunv71/zsTK+1ycSifD5z3+eAwcONG8TQiCEIJvN8sorr6yIHzjH8Kuvvopt27z66qvN25bo6+ujtbVVxrjB9WJ8/vx5hBD09fWt+fitGGMpfjaRmZkZANrb21fcnkgkmvdJ3hwXLlwgmUzy/ve/n4cffpif/umf5jvf+Q7gxLutrW3F9olEAoDp6enbvq93C4899hh//Md/THd396r7rhdTeYxfn43ie+HCBQC++MUv8thjj/H444/zqU99ilwuB8hzyI0QDAZ59NFHMQyjedtXv/pVxsbGeOc737nuMVwqlUilUszOzhKJRHC5XKu2kTF2uF6ML1y4QCAQ4FOf+hSPPPII73nPe/ijP/ojqtUqwJaMsRQ/m0ipVAJYccAAuFwuKpXKndilu5p6vc7w8DCZTIYPfehDfP7zn+fQoUP8/M//PC+88ALlcnnNWAMy3jfJ9WIqj/G3xoULF1AUhUQiwec+9zk+9rGP8b3vfY9f/uVfxrIsGd+b4MSJE3z84x/niSee4F3veteax/DS39VqlVKptOp+kDHeiGtjfOHCBSqVCgcPHuTP//zP+aVf+iX+5m/+hk984hMAWzLG2vU3kdwsbrcbcL5gS/8H56Lh8Xju1G7dtWiaxksvvYSqqs147t+/n4sXL/KFL3wBt9vd/KWxxNIXy+v13vb9vRe4XkzlMf7W+KVf+iV+5md+hkgkAsDg4CDxeJyf+qmf4tSpUzK+b5Jnn32Wj3zkIxw5coTf//3fB5wL7LXH8NLfHo9nzWMcZIzXY60Yf+pTn+KjH/0ooVAIcI5jXdf58Ic/zK//+q9vyRjLzM8mspSqnpubW3H73Nwcra2td2KX7np8Pt+KiwDAwMAAs7OztLW1rRlrQMb7JrleTOUx/tZQFKUpfJYYGBgAnCUvGd8b50tf+hIf+tCHePe7383nPve5Zoayvb19zfh5vV4CgQBtbW2k0+lVF2cZ49WsF2NN05rCZ4nlx/FWjLEUP5vInj178Pv9vPTSS83bstksZ86c4dixY3dwz+5OLl68yJEjR1bEE+CNN95g165dHDt2jFdffRXTNJv3vfjii/T19RGLxW737t4TXC+m8hh/a/z6r/86P/uzP7vitlOnTgGwa9cuGd8b5JlnnuF3fud3eP/738/TTz+9Yonl6NGjvPzyyyu2f/HFFzly5AiKonD//fdjWVazKBdgZGSE2dlZGeNlbBTjD3zgA3z84x9fsf2pU6fQdZ0dO3ZszRjfkR6zbcTTTz9tP/DAA/azzz67wqOjWq3e6V276zBN0/6Jn/gJ+4d/+Ift48eP25cuXbI//elP2/v377fPnz9vLyws2MeOHbM/+tGP2hcvXrT/9m//1j5w4ID9d3/3d3d61+8aPvrRj65oxb6RmMpj/Ma5Nr7PPvusPTg4aP/xH/+xPTY2Zn/rW9+yH3vsMftXf/VXm9vI+G7M8PCwvW/fPvs//sf/uMJjZm5uzs5ms/aFCxfsffv22Z/97GftS5cu2V/4whdW+fz86q/+qv3YY4/ZL774YtOD5lo/pu3M9WL8xS9+0d67d6/9zDPP2OPj4/ZXvvIV+8EHH7Sffvrp5nNstRgL27btOyO7tgemafL000/zd3/3d5TLZY4dO8Zv/dZv0dXVdad37a5kYWGBP/iDP+C73/0u2WyWoaEhPvKRj3D06FEATp48ye/+7u9y5swZ4vE4Tz31FE8++eQd3uu7h4997GNMTk7yxS9+sXnb9WIqj/EbZ634/tM//ROf//znGR4eJhAI8KM/+qP85//8n5tLCjK+G/O5z32OP/zDP1zzvve973383u/9Ht/5znf47Gc/y+joKF1dXXzoQx/ih3/4h5vbFYtFPv3pT/PVr34VgEceeYRPfOITq5Yktys3EuO//Mu/5C//8i+5cuVKs27t53/+51EUZ4Fpq8VYih+JRCKRSCTbClnzI5FIJBKJZFshxY9EIpFIJJJthRQ/EolEIpFIthVS/EgkEolEItlWSPEjkUgkEolkWyHFj0QikUgkkm2FFD8SiUQikUi2FVL8SCSSe4rHHnuMj33sY3d6NyQSyRZGih+JRCKRSCTbCil+JBKJRCKRbCuk+JFIJPcctVqNz3zmM7z97W/n0KFDPPXUU4yNjQHOfK0PfOADfPnLX+bd7343hw8f5t/9u3/HuXPn7vBeSySS24UUPxKJ5J7jH//xH7l48SK/93u/x2//9m/zxhtv8OEPf7h5/9mzZ/nDP/xD/tN/+k989rOfJZVK8eSTTzI3N3cH91oikdwutDu9AxKJRHKraW1t5U//9E/RdR2AsbEx/uzP/ox8Pg9ALpfjc5/7HEePHgXg4MGDPP744/zFX/wFH/nIR+7YfkskktuDzPxIJJJ7joMHDzaFD0BXVxcA2Wy2+feS8AFIJBIcPnyY48eP394dlUgkdwQpfiQSyT2H1+td8beiOKc6y7IAJzN0LbFYjHQ6ven7JpFI7jxS/Egkkm1HKpVaddvCwgKxWOwO7I1EIrndSPEjkUi2HaOjo1y+fLn59+zsLK+99hoPPfTQHdwriURyu5AFzxKJZNth2za/+Iu/yIc//GFUVeVP/uRPCIVCfOADH7jTuyaRSG4DUvxIJJJtR0dHB0899RSf/vSnKZVKPPzww/zZn/0Z4XD4Tu+aRCK5DQjbtu07vRMSiURyu/jYxz7Gyy+/zDe+8Y07vSsSieQOIWt+JBKJRCKRbCuk+JFIJBKJRLKtkMteEolEIpFIthUy8yORSCQSiWRbIcWPRCKRSCSSbYUUPxKJRCKRSLYVUvxIJBKJRCLZVkjxI5FIJBKJZFshxY9EIpFIJJJthRQ/EolEIpFIthVS/EgkEolEItlWSPEjkUgkEolkW/H/B15/Ey4pNvZxAAAAAElFTkSuQmCC",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.scatterplot(data=pokemon, x=\"hp\", y=\"speed\", hue=\"legendary\", alpha=0.5, s=60)"
]
},
{
"cell_type": "markdown",
"id": "f3741251-2a2b-437e-b68f-084fb4399e9f",
"metadata": {},
"source": [
"Finally, if you want scatter plots across multiple categories, a [relplot](https://seaborn.pydata.org/generated/seaborn.relplot.html) lets you distribute categories across rows and colums in a grid. "
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "7385237c-6a5c-4041-af46-559d6d84d1fa",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<seaborn.axisgrid.FacetGrid at 0x139926b10>"
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1592.5x500 with 3 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"favorite_types = pokemon[pokemon.type.isin([\"Fire\", \"Water\", \"Grass\"])]\n",
"sns.relplot(data=favorite_types, x=\"hp\", y=\"speed\", hue=\"legendary\", col=\"type\", s=100)"
]
},
{
"cell_type": "markdown",
"id": "c6a20904-416d-44be-a4f3-2107200fb3c2",
"metadata": {},
"source": [
"#### Your turn\n",
"\n",
"**1.5.0.** Plot a histogram of peoples' heights."
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "3b268a30-42ff-4ab8-b2cd-c58a76121f9c",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='height', ylabel='Count'>"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.histplot(data = people, x = \"height\")"
]
},
{
"cell_type": "markdown",
"id": "9b0c9120-fff4-42b2-8ab6-3aa2eba47806",
"metadata": {},
"source": [
"**1.5.1.** Plot a bar chart showing peoples' average hours of sleep by age. "
]
},
{
"cell_type": "code",
"execution_count": 28,
"id": "ee30c851-14b1-4901-9182-4304d54d53a6",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='age', ylabel='sleep'>"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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pPT1ds2fPrvW25s+fr8rKSr9lAwYM0Lhx4/Tb3/420NEAAEAdF3Bx8Xg8NV7H0qhRo4DuwxIfH3/B5U2aNKlxHQAAuHIFfHlvhw4darwm5Z133qn19S0AAACBCviIS3p6uh588EGVlZXppptuksvl0q5du/Tqq6/qpZdeUmZm5kUNlJ+ff1HPBwAAdVfAxeXmm2/WE088oczMTL333nuSpHnz5qlJkyaaNWuWBg0aZPuQAAAAUpD3cRkyZIiGDBmiwsJClZWVKTY2Vm3btpXbzY12AADApRN00zhx4oSKioqUn5+vxo0b6+DBg7Isy87ZAAAA/AR1xOWZZ57R0qVLVVlZKZfLpe7du2vRokX65ptv9Pzzzys2NtbuOQEAAAI/4rJq1SotXrxYKSkp+utf/1p9lGXo0KH68ssvlZWVZfuQAAAAUhDFJTs7W2lpaXrooYeUmJhYvfzGG2/U+PHj9c4779g6IAAAwHcCLi5fffWVevXqdcF1bdu21bFjxy56KAAAgAsJuLg0b95cH3/88QXXffbZZ2revPlFDwUAAHAhAV+ce+edd2rx4sWKjIys/nDE8vJy5ebmaunSpUpJSbF7RgAAAElBFJf7779fhw8f1vz58zV//nxJ0vDhwyWdu7/LqFGj7J0QAADg/wRcXFwul2bPnq2UlBR9+OGHOnHihGJiYnT99dcrISHhUswIAAAgKcj7uEhSmzZt1KZNGztnAQAA+H/Vqrh8dyqoNlwul1544YWgBwIAAKhJrYpLILfy57b/AADgUqlVccnOzvb7+uTJkzp16pTi4+N15swZZWdn63/+5380YMCAGu/xAgAAcLECvo/Lnj17dNNNN2nVqlWSpMcff1zz58/XG2+8oREjRujtt9+2fUgAAAApiOKyaNEitWvXTnfddZcqKiq0bt063Xvvvdq5c6fuvPNOLVmy5FLMCQAAENwRl/T0dLVs2VJbt27V6dOnddttt0mSBg8erP3799s+JAAAgBREcXG73apfv74kacuWLYqNjVX37t0lnbv2JTIy0t4JAQAA/k/A93Hp2rWrXnnlFUVGRurNN99Uv3795HK5dPz4cT377LPq2rXrpZgTAAAg8CMuEydO1LZt23TPPfcoLCxM6enpkqRbb71VBw8e1Pjx4+2eEQAAQFIQR1wSExO1adMmHThwQB06dFCDBg0kSbNmzVLPnj3VtGlT24cEAACQgrzlf8OGDdWjRw+/ZQMHDrRlIAAAgJoEfKoIAADAKRQXAABgDIoLAAAwBsUFAAAYg+ICAACMQXEBAADGoLgAAABjUFwAAIAxKC4AAMAYFBcAAGAMigsAADAGxQUAABiD4gIAAIzheHE5fvy4Jk6cqBtuuEFJSUlKS0vTgQMHnB4LAACEIMeLy5gxY1RcXKxly5bpb3/7myIjIzVixAhVVFQ4PRoAAAgxjhaXEydOqEWLFnrsscfUvXt3tWvXTqNHj9bRo0e1f/9+J0cDAAAhKNzJb96oUSNlZmZWf11aWqqVK1fqmmuuUfv27R2cDAAAhCJHi8v5pk+frr/+9a+KiIjQM888owYNGgS9rfDwmg8khYU5fnYspASbBzn6u5g8yNIfWdqH17c92CftY0ceIVNc7rvvPt19991avXq1xowZozVr1igxMTHg7bjdLsXFRV+CCeum2Ngop0eoE8jRPmRpH7K0Bznax44sQ6a4fHdqaM6cOdqzZ49WrVqluXPnBrwdn8+Sx1Ne4/qwMDc74Xk8ngp5vb6An0eO/oLNUSLL7yNL+/D6tgf7pH1qyjI2NqrWR2McLS6lpaXavn27Bg4cqPDwc6O43W61b99eR48eDXq7VVXB7WBXIq/XR142IEf7kKV9yNIe5GgfO7J09OTbsWPHlJGRoe3bt1cvO3v2rPLy8tSuXTsHJwMAAKHI0eKSkJCgvn376rHHHtOuXbtUUFCgKVOmyOPxaMSIEU6OBgAAQpDjlzsvWLBAvXv31h//+Ef94Q9/UFlZmVavXq3/+I//cHo0AAAQYhy/ODcmJkazZs3SrFmznB4FAACEOMePuAAAANQWxQUAABiD4gIAAIxBcQEAAMaguAAAAGNQXAAAgDEoLgAAwBgUFwAAYAyKCwAAMAbFBQAAGIPiAgAAjEFxAQAAxqC4AAAAY1BcAACAMSguAADAGBQXAABgDIoLAAAwBsUFAAAYg+ICAACMQXEBAADGoLgAAABjUFwAAIAxKC4AAMAYFBcAAGAMigsAADAGxQUAABiD4gIAAIxBcQEAAMaguAAAAGNQXAAAgDEoLgAAwBgUFwAAYAyKCwAAMAbFBQAAGIPiAgAAjEFxAQAAxnC8uJSVlWnGjBnq27evevbsqXvvvVe7d+92eiwAABCCHC8uGRkZ+vjjj7VgwQKtXbtWnTt3VmpqqgoLC50eDQAAhBhHi0txcbG2bt2qWbNm6brrrlObNm00ffp0NWvWTOvXr3dyNAAAEIIcLS5xcXFatmyZunXrVr3M5XLJ5XLJ4/E4OBkAAAhF4U5+89jYWN14441+y3Jzc1VcXKyHH3446O2Gh9fcx8LCHD87FlKCzYMc/V1MHmTpjyztw+vbHuyT9rEjD0eLy/f985//1NSpUzVgwAD169cvqG243S7FxUXbO1gdFhsb5fQIdQI52ocs7UOW9iBH+9iRZcgUl82bN2vChAnq2bOn5s+fH/R2fD5LHk95jevDwtzshOfxeCrk9foCfh45+gs2R4ksv48s7cPr2x7sk/apKcvY2KhaH40JieKyatUqzZkzR4MGDdKf//xnRUREXNT2qqqC28GuRF6vj7xsQI72IUv7kKU9yNE+dmTp+Mm3NWvW6NFHH1VycrIWLFhw0aUFAADUXY4ecSkqKtLjjz+uX//61xo1apSOHTtWvS4yMlIxMTEOTgcAAEKNo8UlNzdXZ8+e1aZNm7Rp0ya/dbfffrvmzZvn0GQAACAUOVpcHnjgAT3wwANOjgAAAAzi+DUuAAAAtUVxAQAAxqC4AAAAY1BcAACAMSguAADAGBQXAABgDIoLAAAwBsUFAAAYg+ICAACMQXEBAADGoLgAAABjUFwAAIAxKC4AAMAYFBcAAGAMigsAADAGxQUAABiD4gIAAIxBcQEAAMaguAAAAGNQXAAAgDEoLgAAwBgUFwAAYAyKCwAAMAbFBQAAGIPiAgAAjEFxAQAAxqC4AAAAY1BcAACAMSguAADAGBQXAABgDIoLAAAwBsUFAAAYg+ICAACMQXEBAADGoLgAAABjUFwAAIAxQqq4LF26VMOGDXN6DAAAEKJCprisXr1aixYtcnoMAAAQwsKdHqCkpEQzZ87Ujh071Lp1a6fHAQAAIczxIy579+5VvXr19MYbb6hHjx5OjwMAAEKY40dc+vfvr/79+9u6zfDwmvtYWJjjXS2kBJsHOfq7mDzI0h9Z2ofXtz3YJ+1jRx6OFxe7ud0uxcVFOz2GMWJjo5weoU4gR/uQpX3I0h7kaB87sqxzxcXns+TxlNe4PizMzU54Ho+nQl6vL+DnkaO/YHOUyPL7yNI+vL7twT5pn5qyjI2NqvXRmDpXXCSpqiq4HexK5PX6yMsG5GgfsrQPWdqDHO1jR5acfAMAAMaguAAAAGNQXAAAgDFC6hqXefPmOT0CAAAIYRxxAQAAxqC4AAAAY1BcAACAMSguAADAGBQXAABgDIoLAAAwBsUFAAAYg+ICAACMQXEBAADGoLgAAABjUFwAAIAxKC4AAMAYFBcAAGAMigsAADAGxQUAABiD4gIAAIxBcQEAAMaguAAAAGNQXAAAgDEoLgAAwBgUFwAAYAyKCwAAMAbFBQAAGIPiAgAAjEFxAQAAxqC4AAAAY1BcAACAMSguAADAGBQXAABgDIoLAAAwBsUFAAAYg+ICAACMQXEBAADGoLgAAABjUFwAAIAxKC4AAMAYjhcXn8+nJ598Un369NG1116r+++/X19++aXTYwEAgBDkeHF5+umntWbNGj366KN66aWX5PP5NHLkSJ05c8bp0QAAQIhxtLicOXNGzz//vMaNG6d+/fqpU6dOWrhwof71r3/prbfecnI0AAAQghwtLvv27dOpU6fUu3fv6mWxsbHq0qWLdu3a5eBkAAAgFLksy7Kc+uZvvfWWxo4dqz179igyMrJ6+UMPPaTKykotXbo04G1aliWfr+YfyeWS3G63TpyslNfrC2ruuiAszK1GDSPl8/kUzB5AjudcbI4SWX6HLO3D69se7JP2+bEs3W6XXC5XrbYVbvNsAamoqJAkRURE+C2vX7++Tpw4EdQ2XS6XwsJ+/Idv1DDyRx9zJXC7L+6gGzmec7E5SmT5HbK0D69ve7BP2seOLB09VfTdUZbvX4h7+vRpRUVFOTESAAAIYY4Wl+bNm0uSjh496rf86NGjio+Pd2IkAAAQwhwtLp06dVLDhg21Y8eO6mUej0d5eXm6/vrrHZwMAACEIkevcYmIiNDQoUM1f/58NW7cWC1atNATTzyha665RgMGDHByNAAAEIIcLS6SNG7cOFVVVWnatGmqrKzU9ddfr+XLl6tevXpOjwYAAEKMo2+HBgAACITjt/wHAACoLYoLAAAwBsUFAAAYg+ICAACMQXEBAADGoLgAAABjUFwAAIAxKC6XydKlSzVs2DC/ZXv37tWwYcOUlJSkfv36af78+T/4wElIZWVlmjFjhvr27auePXvq3nvv1e7du6vXp6SkqGPHjn7/vp81zjl+/LgmTpyoG264QUlJSUpLS9OBAweq10+bNu0HWfbv39/BiUNfUVGRkpKS9Oqrr1YvI8fAlJSU/CCvjh07VmdKnrW3bt06DR48WN26ddMtt9yijRs3Vq975plnLpizaRy/c+6VYPXq1Vq0aJGuu+666mXffPON/uu//kuDBg3SY489pkOHDmny5Mny+XyaNGmSg9OGnoyMDH399ddasGCBmjRpouzsbKWmpuq1115T27ZtlZ+fr1mzZunmm2+ufg53Xr6wMWPGyOfzadmyZYqOjlZWVpZGjBiht956S1FRUcrPz9cDDzygoUOHVj8nLCzMwYlD29mzZzVhwgSVl5f7LSfHwOzbt0/169fX5s2b5XK5qpfHxMRIIs/aev311/XII4/o4YcfVp8+fZSTk6OMjAxdc801SkpKUn5+vm677TZNnDjR6VEvCsXlEiopKdHMmTO1Y8cOtW7d2m/dRx99pLKyMk2cOFENGzbUT3/6Uw0ZMkRbtmyhuJynuLhYW7du1Zo1a/Szn/1MkjR9+nRt2bJF69ev19ChQ3X8+HH16NFDTZs2dXja0HbixAm1aNFCo0aNUkJCgiRp9OjRuu2227R//35169ZNX3zxhdLS0siylhYvXqyGDRv6LbMsixwDVFBQoNatW6tZs2Y/WEeetWNZlrKysjR8+HAlJydLktLT07V7927t3LlTSUlJKigo0F133WV8jpwquoT27t2revXq6Y033lCPHj381jVu3FiS9OKLL8rr9erw4cN67733fvC4K11cXJyWLVumbt26VS9zuVxyuVzyeDzKz8+Xy+VSmzZtHJzSDI0aNVJmZmZ1aSktLdXKlSt1zTXXqH379jp06JDKy8vVtm1bhyc1w65du/Tyyy9r3rx5fsvJMXD5+flq167dBdeRZ+0UFRXpyJEjGjJkiN/y5cuXa9SoUTpz5owOHjxYJ3KkuFxC/fv31+LFi9WyZcsfrOvZs6fS09OVlZWlbt266Ve/+pXi4+M1Y8YMByYNXbGxsbrxxhsVERFRvSw3N1fFxcXq06ePCgoKFBMTo9mzZ6tv374aNGiQFi1axLVCP2L69Onq3bu3cnJyNGfOHDVo0EAFBQWSpOzsbPXv318333yzZs+erW+//dbhaUOPx+PRpEmTNG3aNDVv3txvHTkGrqCgQKWlpUpOTtYvfvEL3XvvvXr//fer10nk+WOKiookSeXl5UpNTVXv3r31hz/8Qe+8844k6YsvvpDX61Vubq4GDhyofv36aeLEiTp69KiTYweF4uKQkydPqrCwUMnJyXrllVeUlZWlgwcPavr06U6PFtL++c9/aurUqRowYID69eungoICnT59Wt27d9dzzz2n9PR0vfLKK5o2bZrTo4a0++67T2vXrtWtt96qMWPGaO/evSooKJDb7VazZs20ZMkSTZkyRR988IFGjx4tn8/n9MghZdasWUpKSvrB/24lkWOAqqqqVFhYqBMnTmjs2LFatmyZrr32WqWlpWn79u3kWUsnT56UJE2ePFm33nqrnn/+ef3yl7/U6NGjq3OUpKioKGVlZWnOnDkqLCzU8OHDVVlZ6eTogbNwWUyePNkaOnRo9dczZsywhg8f7veYbdu2WQkJCVZeXt7lHs8ImzZtsnr06GGlpKRYlZWVlmVZ1tmzZ62ysjK/x+Xk5FgJCQnW119/7cSYRvF6vdZvfvMba8qUKZbX67VKS0v91n/yySdWQkKC9cknnzg0Yeh57bXXrD59+vjtdwkJCdbatWsty7LIMQgnT560Kioq/JalpqZaqamp5FlL3/3eW716td/y+++/37r//vsty7Ks48eP+60rKSmxOnbsaOXk5Fy2Oe3AEReHfPTRR37XbUiqvr7l4MGDDkwU2latWqWxY8fqpptu0pIlS1S/fn1JUnh4uBo1auT32A4dOkiS/vWvf132OUNZaWmpcnJyVFVVVb3M7Xarffv2Onr0qNxut+Li4vyeQ5Y/tHbtWh0/flz9+vVTUlKSkpKSJEkzZ87UyJEjyTEI0dHRioyM9FvWoUMHlZSUkGctxcfHS1L1NWzfad++vQ4fPizp39dWfqdZs2a66qqrjMuR4uKQ+Ph45efn+y377msuNPW3Zs0aPfroo0pOTtaCBQv8rncZNmyYpk6d6vf4Tz/9VPXq1fvBO7mudMeOHVNGRoa2b99evezs2bPKy8tTu3btNGnSJI0YMcLvOZ9++qmkc7/8cM78+fO1YcMGrVu3rvqfJI0bN05z5swhxwDt379fPXv21I4dO/yWf/bZZ2rfvj151lJiYqKio6O1Z88ev+UFBQVq1aqVFi5cqIEDB8qyrOp1hw8f1jfffGNejk4f8rlSfP9U0fvvv2917NjRWrhwoVVcXGxt27bNGjhwoJWWlubglKGnsLDQSkxMtMaMGWMdPXrU75/H47Gys7Otzp07W2vWrLEOHTpk5eTkWD//+c+tBQsWOD16SBo5cqQ1YMAAa+fOnVZ+fr6VkZFhXX/99daRI0eszZs3WwkJCdbixYut4uJi691337X69+9vZWRkOD12yDv/VBE5Bsbr9Vq///3vrcGDB1u7du2yvvjiC+vxxx+3unbtauXn55NnAJ566ikrKSnJWr9+vVVcXGw9/fTTVqdOnawPP/zQ+vTTT63ExERrxowZVmFhobVz507rd7/7nXXPPfdYPp/P6dED4rKs8+oXLpkpU6boyJEjys7Orl723nvv6amnntL+/fsVFxenX//613rooYfUoEEDBycNLUuWLNHChQsvuO7222/XvHnztHr1aq1evVpffvmlmjZtqrvuuktpaWlyuzmg+H3ffvutMjMztXnzZn377be67rrrNGXKlOpD7xs3btSyZctUWFiomJgYDRkyROPHj68+NYcL69ixo+bOnas77rhDEjkG6tixY8rMzNSWLVvk8XjUpUsXTZgwofqmneRZeytWrNCqVatUUlKidu3aaezYsdU359y+fbuysrKUn5+viIgI/epXv9LkyZN/cLo91FFcAACAMfgvKQAAMAbFBQAAGIPiAgAAjEFxAQAAxqC4AAAAY1BcAACAMSguAADAGBQXAABgDIoLAAAwBsUFAAAYg+ICwDGVlZXKzMzUgAED1LVrV/Xs2VMpKSn6/PPPqx/z2muvafDgwerWrZt++9vfavv27erSpYteffXV6sd89dVXysjIUK9evdSjRw/dd999ysvLc+JHAnCJUVwAOGbSpElau3at0tLS9Pzzz2vq1Knav3+//vSnP8myLK1bt05TpkxRz5499fTTT2vgwIEaPXq0vF5v9TZKS0t1zz33aO/evZo+fboyMzPl8/mUnJysAwcOOPjTAbgUwp0eAMCV6cyZMzp16pSmTZumwYMHS5J69eqlkydPat68eTp27JiysrJ000036bHHHpMk9enTR/Xq1VNmZmb1dl544QWVlZXpxRdfVIsWLSRJffv21eDBg5WVlaUnn3zy8v9wAC4ZjrgAcERERISWL1+uwYMHq6SkRB9++KFeeukl/eMf/5AkFRUV6auvvtKgQYP8nnfLLbf4fb19+3Z17txZ8fHxqqqqUlVVldxut/r27att27Zdtp8HwOXBERcAjtmyZYsef/xxFRYWKjo6Wp06dVKDBg0kSfXq1ZMkNWnSxO85V199td/XZWVlKi4uVmJi4gW/R0VFhaKioi7B9ACcQHEB4IhDhw5pzJgxuvnmm7V06VK1bNlSLpdLq1ev1pYtW6qvYzl+/Ljf877/dUxMjHr16qVJkyZd8PtERERcmh8AgCM4VQTAEZ999plOnz6ttLQ0tWrVSi6XS9K5ozCS1KxZM7Vq1UqbNm3ye95bb73l93WvXr1UVFSkNm3aqFu3btX/Xn/9df3tb39TWFjY5fmBAFwWFBcAjkhMTFR4eLieeOIJbd26Vf/4xz80duxYvfvuu5LOneIZN26cNm/erJkzZ+qDDz7Qc889p6ysLEmS233u19eIESPk8/k0YsQIbdiwQdu3b9f06dOVnZ2tNm3aOPXjAbhEXJZlWU4PAeDK9Oabb+ovf/mLDh06pEaNGunaa6/V8OHDNWzYME2fPl3Jycl6+eWXtXz5cn311Vfq0KGDkpOT9cgjj2jx4sUaMGCApHOnnTIzM7V9+3adPn1arVu31rBhw3TnnXc6/BMCsBvFBUDI+vvf/64uXbqobdu21cveffddjRo1Sq+//ro6derk4HQAnEBxARCy0tLSdODAAY0fP17NmzdXcXGxnnzySbVq1UrZ2dlOjwfAARQXACHrm2++UWZmpt5//32Vlpbq6quv1sCBAzVu3DhFR0c7PR4AB1BcAACAMXhXEQAAMAbFBQAAGIPiAgAAjEFxAQAAxqC4AAAAY1BcAACAMSguAADAGBQXAABgDIoLAAAwxv8CgQkXuD7VRSQAAAAASUVORK5CYII=",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.barplot(data = people, x = \"age\", y = \"sleep\")"
]
},
{
"cell_type": "markdown",
"id": "15d94323-2d65-4100-9916-101516f6ccf1",
"metadata": {},
"source": [
"**1.5.2.** Plot a bar chart showing peoples' likelihood of getting exercise by income. "
]
},
{
"cell_type": "code",
"execution_count": 29,
"id": "13eeecd8-2518-4ed9-aac5-727a96b5bf80",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='income', ylabel='exercise'>"
]
},
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.barplot(data = people, x = \"income\", y = \"exercise\")"
]
},
{
"cell_type": "markdown",
"id": "b2705fef-470d-494c-86c1-8b3bd34b3660",
"metadata": {},
"source": [
"**1.5.3.** Plot a bar chart showing average reported health by age. For each age, show average health for those who get exercise and those who don't."
]
},
{
"cell_type": "code",
"execution_count": 30,
"id": "4ee2eb69-2f9a-42e7-b5d3-9499631bfd06",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='age', ylabel='health'>"
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.barplot(data = people, x = \"age\", y = \"health\", hue = \"exercise\")"
]
},
{
"cell_type": "markdown",
"id": "84b1e240-4f75-4c86-8c1f-1026aa223717",
"metadata": {},
"source": [
"**1.5.4.** Create a plot showing the number of people at each income level, for each education level. "
]
},
{
"cell_type": "code",
"execution_count": 32,
"id": "d7e02da8-beab-40e7-95d0-74a5c2bc838e",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='education', ylabel='income'>"
]
},
"execution_count": 32,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.barplot(data = people, x = \"education\", y = \"income\")"
]
},
{
"cell_type": "markdown",
"id": "ac717580-4157-402c-9262-b2b50dfe606f",
"metadata": {},
"source": [
"**1.5.5.** Plot side-by-side scatter plots showing the relationship between height and weight for males and females. (There are so many overlapping dots that the plot will be more informative if you lower the opacity of each dot. Try using `alpha=0.1` and `edgecolor=None`.)"
]
},
{
"cell_type": "code",
"execution_count": 37,
"id": "b00dd7d6-226b-469c-86d8-b71b328aa576",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<seaborn.axisgrid.FacetGrid at 0x286bf6e10>"
]
},
"execution_count": 37,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1100.88x500 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"height_weight = people[people.sex.isin([\"male\", \"female\"])]\n",
"sns.relplot(data = height_weight, x = \"height\", y = \"weight\", col = \"sex\", hue = \"sex\", alpha = 0.1, edgecolor = None)"
]
},
{
"cell_type": "markdown",
"id": "e9ff7225-5d08-428b-90e8-ee60f4a4049a",
"metadata": {},
"source": [
"## 2. Crafting a data argument\n",
"\n",
"Everything up to here are just tools, worthless without a clear research question and a convincing argument. Choose a research question that interests you which might be answerable using the `people` dataset. Then do your best to find the answer in the space below. This answer should include data analysis (code cells) as well as written argument (text cells) explaining what the data means and why you believe it answers your question. \n",
"\n",
"Examples of research questions might include:\n",
"\n",
"- Do older people tend to have higher incomes?\n",
"- Do people who sleep at least 6 hours a night tend to report better health? \n",
"- Is it more common for males to be bisexual than females?\n",
"\n",
"**A note of caution:** this lab has given you tools for exploring associations--patterns that tend to co-occur. These tools *do not* equip you to argue that one variable causes another to change. For example: Plot 1.5.4 showed that people who are taller also tend to be heaver, with a lot of individual variation. But are people heavier *because* they are taller? Are they taller because they are heavier? Or maybe neither variable causes the other--perhaps they're both caused by something else. If you want to be able to answer questions like these, take a course on statistics."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "6f934273-b829-4bc2-a7f4-a27a3fc44a99",
"metadata": {},
"outputs": [],
"source": [
"# Are older people more likely to have a higher level of education?"
]
},
{
"cell_type": "code",
"execution_count": 38,
"id": "8b4b852b-402c-45d4-b3bb-840e47b249ed",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='age', ylabel='education'>"
]
},
"execution_count": 38,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.barplot(data = people, x = \"age\", y = \"education\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "944c7a53-eaa6-4c9d-b3ce-a245ce504367",
"metadata": {},
"outputs": [],
"source": [
"# this clearly shows the answer to my research question through a bar graph. It shows that there isn't much of a difference\n",
"# between age and education except for the youngest category which makes sense since they haven't had as much of a chance yet."
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.5"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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