{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Airbnb Listings in Seattle\n",
"Author: Matthew Huh\n",
"\n",
"## What is Airbnb\n",
"To put it in their own words, \"Airbnb is built around the idea that everyone should be able to take the perfect trip, including where they stay, what they do, and who they meet. To that end, we empower millions of people around the world to use their spaces, passions, and talents to become entrepreneurs.\"\n",
"\n",
"It is a platform that allows people to host their abodes as temporary living quarters for tourism, finding a place away from home, or short-term housing. In certain ways, the platform offers a number of similarities to hotels, or renting apartments, but it comes with its own advantages and disadvantages.\n",
"\n",
"## About the Data\n",
"Airbnb regularly uploads datasets on their site, allowing individuals, or organizations to play around with the listings that they have disclosed. For this project, I have chosen to take a closer look at a city quite familiar to me, Seattle, WA, home to over 700k people and a thriving tech and tourism hub in the Pacific Northwest.\n",
"\n",
"## Research Question\n",
"\n",
"## Packages"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script><script type=\"text/javascript\">if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script><script>requirejs.config({paths: { 'plotly': ['https://cdn.plot.ly/plotly-latest.min']},});if(!window._Plotly) {require(['plotly'],function(plotly) {window._Plotly=plotly;});}</script>"
],
"text/vnd.plotly.v1+html": [
"<script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script><script type=\"text/javascript\">if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script><script>requirejs.config({paths: { 'plotly': ['https://cdn.plot.ly/plotly-latest.min']},});if(!window._Plotly) {require(['plotly'],function(plotly) {window._Plotly=plotly;});}</script>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Necessary imports\n",
"import os\n",
"import time\n",
"import timeit\n",
"import numpy as np\n",
"import pandas as pd\n",
"import scipy\n",
"import sklearn\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"from sklearn.utils import resample\n",
"import warnings\n",
"warnings.filterwarnings('ignore')\n",
"%matplotlib inline\n",
"\n",
"# Modelling packages\n",
"from sklearn import ensemble\n",
"from sklearn.feature_selection import chi2, f_classif, SelectKBest \n",
"from sklearn.linear_model import LogisticRegression\n",
"from sklearn.metrics import adjusted_rand_score, classification_report, confusion_matrix, silhouette_score\n",
"from sklearn.model_selection import cross_val_score, GridSearchCV, train_test_split\n",
"from sklearn.neural_network import MLPClassifier\n",
"from sklearn.preprocessing import normalize\n",
"\n",
"# Plotly packages\n",
"import cufflinks as cf\n",
"import ipywidgets as widgets\n",
"import plotly as py\n",
"import plotly.figure_factory as ff\n",
"import plotly.graph_objs as go\n",
"from plotly import tools\n",
"from scipy import special\n",
"py.offline.init_notebook_mode(connected=True)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"# Import the data\n",
"listings = pd.read_csv('listings.csv')\n",
"neighborhoods = pd.read_csv('neighbourhoods.csv')\n",
"neighborhood_map = pd.read_json('neighbourhoods.geojson')\n",
"\n",
"# Remove the 'id' column from the dataframe\n",
"listings.drop(['id', 'host_id'], axis=1, inplace=True)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"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>host_name</th>\n",
" <th>neighbourhood_group</th>\n",
" <th>neighbourhood</th>\n",
" <th>latitude</th>\n",
" <th>longitude</th>\n",
" <th>room_type</th>\n",
" <th>price</th>\n",
" <th>minimum_nights</th>\n",
" <th>number_of_reviews</th>\n",
" <th>last_review</th>\n",
" <th>reviews_per_month</th>\n",
" <th>calculated_host_listings_count</th>\n",
" <th>availability_365</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Casa Madrona - Urban Oasis, 1 block from the P...</td>\n",
" <td>Megan</td>\n",
" <td>Central Area</td>\n",
" <td>Madrona</td>\n",
" <td>47.610819</td>\n",
" <td>-122.290816</td>\n",
" <td>Entire home/apt</td>\n",
" <td>296</td>\n",
" <td>4</td>\n",
" <td>20</td>\n",
" <td>2018-09-18</td>\n",
" <td>0.16</td>\n",
" <td>3</td>\n",
" <td>345</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Sunrise in Seattle Master Suite</td>\n",
" <td>Jess & Joey</td>\n",
" <td>Other neighborhoods</td>\n",
" <td>Roosevelt</td>\n",
" <td>47.687801</td>\n",
" <td>-122.313427</td>\n",
" <td>Private room</td>\n",
" <td>82</td>\n",
" <td>2</td>\n",
" <td>63</td>\n",
" <td>2018-10-06</td>\n",
" <td>0.96</td>\n",
" <td>5</td>\n",
" <td>365</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Cozy Studio, min. to downtown -WiFi</td>\n",
" <td>Maddy</td>\n",
" <td>Delridge</td>\n",
" <td>South Delridge</td>\n",
" <td>47.523980</td>\n",
" <td>-122.359891</td>\n",
" <td>Entire home/apt</td>\n",
" <td>48</td>\n",
" <td>3</td>\n",
" <td>461</td>\n",
" <td>2018-11-02</td>\n",
" <td>4.37</td>\n",
" <td>1</td>\n",
" <td>24</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Fab, private seattle urban cottage!</td>\n",
" <td>Joyce</td>\n",
" <td>Other neighborhoods</td>\n",
" <td>Wallingford</td>\n",
" <td>47.654109</td>\n",
" <td>-122.337605</td>\n",
" <td>Entire home/apt</td>\n",
" <td>90</td>\n",
" <td>2</td>\n",
" <td>134</td>\n",
" <td>2018-10-21</td>\n",
" <td>1.18</td>\n",
" <td>3</td>\n",
" <td>287</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Glorious sun room w/ memory foambed</td>\n",
" <td>Angielena</td>\n",
" <td>Other neighborhoods</td>\n",
" <td>Georgetown</td>\n",
" <td>47.550620</td>\n",
" <td>-122.320135</td>\n",
" <td>Private room</td>\n",
" <td>65</td>\n",
" <td>2</td>\n",
" <td>130</td>\n",
" <td>2018-09-09</td>\n",
" <td>1.29</td>\n",
" <td>5</td>\n",
" <td>336</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" name host_name \\\n",
"0 Casa Madrona - Urban Oasis, 1 block from the P... Megan \n",
"1 Sunrise in Seattle Master Suite Jess & Joey \n",
"2 Cozy Studio, min. to downtown -WiFi Maddy \n",
"3 Fab, private seattle urban cottage! Joyce \n",
"4 Glorious sun room w/ memory foambed Angielena \n",
"\n",
" neighbourhood_group neighbourhood latitude longitude \\\n",
"0 Central Area Madrona 47.610819 -122.290816 \n",
"1 Other neighborhoods Roosevelt 47.687801 -122.313427 \n",
"2 Delridge South Delridge 47.523980 -122.359891 \n",
"3 Other neighborhoods Wallingford 47.654109 -122.337605 \n",
"4 Other neighborhoods Georgetown 47.550620 -122.320135 \n",
"\n",
" room_type price minimum_nights number_of_reviews last_review \\\n",
"0 Entire home/apt 296 4 20 2018-09-18 \n",
"1 Private room 82 2 63 2018-10-06 \n",
"2 Entire home/apt 48 3 461 2018-11-02 \n",
"3 Entire home/apt 90 2 134 2018-10-21 \n",
"4 Private room 65 2 130 2018-09-09 \n",
"\n",
" reviews_per_month calculated_host_listings_count availability_365 \n",
"0 0.16 3 345 \n",
"1 0.96 5 365 \n",
"2 4.37 1 24 \n",
"3 1.18 3 287 \n",
"4 1.29 5 336 "
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Preview the data for listings\n",
"listings.head()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Size of the dataframe: 8740 listings x 14 features\n"
]
}
],
"source": [
"# Print the size of the dataframe\n",
"print('Size of the dataframe: {} listings x {} features'.format(listings.shape[0],listings.shape[1]))"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Missing values: \n",
" name 0\n",
"host_name 0\n",
"neighbourhood_group 0\n",
"neighbourhood 0\n",
"latitude 0\n",
"longitude 0\n",
"room_type 0\n",
"price 0\n",
"minimum_nights 0\n",
"number_of_reviews 0\n",
"last_review 1048\n",
"reviews_per_month 1049\n",
"calculated_host_listings_count 0\n",
"availability_365 0\n",
"dtype: int64\n"
]
}
],
"source": [
"# Check for any missing values\n",
"print('Missing values: \\n', listings.isna().sum())"
]
},
{
"cell_type": "code",
"execution_count": 6,
"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>latitude</th>\n",
" <th>longitude</th>\n",
" <th>price</th>\n",
" <th>minimum_nights</th>\n",
" <th>number_of_reviews</th>\n",
" <th>reviews_per_month</th>\n",
" <th>calculated_host_listings_count</th>\n",
" <th>availability_365</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>count</th>\n",
" <td>8740.000000</td>\n",
" <td>8740.000000</td>\n",
" <td>8740.000000</td>\n",
" <td>8740.000000</td>\n",
" <td>8740.000000</td>\n",
" <td>7691.000000</td>\n",
" <td>8740.000000</td>\n",
" <td>8740.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mean</th>\n",
" <td>47.626403</td>\n",
" <td>-122.333693</td>\n",
" <td>152.228375</td>\n",
" <td>3.691419</td>\n",
" <td>42.772769</td>\n",
" <td>2.462089</td>\n",
" <td>22.570252</td>\n",
" <td>138.483295</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
" <td>0.045696</td>\n",
" <td>0.031548</td>\n",
" <td>141.676868</td>\n",
" <td>13.235492</td>\n",
" <td>63.760075</td>\n",
" <td>2.427051</td>\n",
" <td>62.737811</td>\n",
" <td>130.909168</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
" <td>47.496037</td>\n",
" <td>-122.419637</td>\n",
" <td>0.000000</td>\n",
" <td>1.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>1.000000</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25%</th>\n",
" <td>47.606366</td>\n",
" <td>-122.354144</td>\n",
" <td>80.000000</td>\n",
" <td>1.000000</td>\n",
" <td>3.000000</td>\n",
" <td>0.565000</td>\n",
" <td>1.000000</td>\n",
" <td>14.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50%</th>\n",
" <td>47.621423</td>\n",
" <td>-122.332098</td>\n",
" <td>119.000000</td>\n",
" <td>2.000000</td>\n",
" <td>17.000000</td>\n",
" <td>1.690000</td>\n",
" <td>1.000000</td>\n",
" <td>89.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75%</th>\n",
" <td>47.661255</td>\n",
" <td>-122.312031</td>\n",
" <td>189.000000</td>\n",
" <td>2.000000</td>\n",
" <td>55.000000</td>\n",
" <td>3.820000</td>\n",
" <td>5.000000</td>\n",
" <td>263.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>max</th>\n",
" <td>47.736128</td>\n",
" <td>-122.234026</td>\n",
" <td>5400.000000</td>\n",
" <td>400.000000</td>\n",
" <td>717.000000</td>\n",
" <td>46.410000</td>\n",
" <td>311.000000</td>\n",
" <td>365.000000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" latitude longitude price minimum_nights \\\n",
"count 8740.000000 8740.000000 8740.000000 8740.000000 \n",
"mean 47.626403 -122.333693 152.228375 3.691419 \n",
"std 0.045696 0.031548 141.676868 13.235492 \n",
"min 47.496037 -122.419637 0.000000 1.000000 \n",
"25% 47.606366 -122.354144 80.000000 1.000000 \n",
"50% 47.621423 -122.332098 119.000000 2.000000 \n",
"75% 47.661255 -122.312031 189.000000 2.000000 \n",
"max 47.736128 -122.234026 5400.000000 400.000000 \n",
"\n",
" number_of_reviews reviews_per_month calculated_host_listings_count \\\n",
"count 8740.000000 7691.000000 8740.000000 \n",
"mean 42.772769 2.462089 22.570252 \n",
"std 63.760075 2.427051 62.737811 \n",
"min 0.000000 0.010000 1.000000 \n",
"25% 3.000000 0.565000 1.000000 \n",
"50% 17.000000 1.690000 1.000000 \n",
"75% 55.000000 3.820000 5.000000 \n",
"max 717.000000 46.410000 311.000000 \n",
"\n",
" availability_365 \n",
"count 8740.000000 \n",
"mean 138.483295 \n",
"std 130.909168 \n",
"min 0.000000 \n",
"25% 14.000000 \n",
"50% 89.000000 \n",
"75% 263.000000 \n",
"max 365.000000 "
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# View descriptive statistics\n",
"listings.describe()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"data": [
{
"labels": [
"Entire home/apt",
"Private room",
"Shared room"
],
"type": "pie",
"uid": "1f07cb12-5ae1-4f44-a967-aeea5c002c5c",
"values": [
6505,
2075,
160
]
}
],
"layout": {
"autosize": false,
"height": 600,
"title": "Room Types on Airbnb",
"width": 800
}
},
"text/html": [
"<div id=\"b1af70df-2d4c-470e-9b5c-dd46e4f7c445\" style=\"height: 600px; width: 800px;\" class=\"plotly-graph-div\"></div><script type=\"text/javascript\">require([\"plotly\"], function(Plotly) { window.PLOTLYENV=window.PLOTLYENV || {};window.PLOTLYENV.BASE_URL=\"https://plot.ly\";Plotly.newPlot(\"b1af70df-2d4c-470e-9b5c-dd46e4f7c445\", [{\"labels\": [\"Entire home/apt\", \"Private room\", \"Shared room\"], \"values\": [6505, 2075, 160], \"type\": \"pie\", \"uid\": \"1f07cb12-5ae1-4f44-a967-aeea5c002c5c\"}], {\"autosize\": false, \"height\": 600, \"title\": \"Room Types on Airbnb\", \"width\": 800}, {\"showLink\": true, \"linkText\": \"Export to plot.ly\"})});</script>"
],
"text/vnd.plotly.v1+html": [
"<div id=\"b1af70df-2d4c-470e-9b5c-dd46e4f7c445\" style=\"height: 600px; width: 800px;\" class=\"plotly-graph-div\"></div><script type=\"text/javascript\">require([\"plotly\"], function(Plotly) { window.PLOTLYENV=window.PLOTLYENV || {};window.PLOTLYENV.BASE_URL=\"https://plot.ly\";Plotly.newPlot(\"b1af70df-2d4c-470e-9b5c-dd46e4f7c445\", [{\"labels\": [\"Entire home/apt\", \"Private room\", \"Shared room\"], \"values\": [6505, 2075, 160], \"type\": \"pie\", \"uid\": \"1f07cb12-5ae1-4f44-a967-aeea5c002c5c\"}], {\"autosize\": false, \"height\": 600, \"title\": \"Room Types on Airbnb\", \"width\": 800}, {\"showLink\": true, \"linkText\": \"Export to plot.ly\"})});</script>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# View room types on Airbnb\n",
"\n",
"# Set the size of the chart\n",
"plt.rcParams['figure.figsize'] = [5,5]\n",
"\n",
"# Import the data for the pie chart\n",
"trace = go.Pie(labels=listings['room_type'].value_counts().index, values = listings['room_type'].value_counts())\n",
"\n",
"# Create the layout\n",
"layout = go.Layout(\n",
" title = 'Room Types on Airbnb',\n",
" height = 600,\n",
" width = 800,\n",
" autosize = False\n",
")\n",
"\n",
"# Construct the chart\n",
"fig = go.Figure(data = [trace], layout = layout)\n",
"py.offline.iplot(fig, filename ='cufflinks/simple')"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 720x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Plot the minimum number of nights required for units\n",
"plt.rcParams['figure.figsize'] = [10,5]\n",
"\n",
"listings['minimum_nights_temp'] = np.where(listings['minimum_nights'] > 7, 8, listings['minimum_nights'])\n",
"\n",
"plt.title('Minimum number of Nights')\n",
"plt.xlabel('Minimum number of nights')\n",
"sns.barplot(x = listings['minimum_nights_temp'].value_counts().index,\n",
" y = listings['minimum_nights_temp'].value_counts())\n",
"\n",
"listings.drop('minimum_nights_temp', axis=1)\n",
"print()"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x17540dcbef0>"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 720x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# View all prices\n",
"plt.title('Airbnb Rental Prices (USD/day)')\n",
"sns.distplot(listings['price'])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"So, that's a nice visual, eh? All that we can really see is that most listings are below 1000 USD / day, and that at least one listing is a little over 5000 USD. Let's take a look at the prices again, and focus on what 99% of us will be looking at using the outlier rule (Q3 + 1.5 (Q3 - Q1))"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x17540e80ef0>"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 720x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Examine by removing outliers\n",
"plt.xlim(0,370)\n",
"plt.title('Airbnb Rental Prices (USD/day)')\n",
"sns.distplot(listings['price'], bins=500)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"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>host_name</th>\n",
" <th>neighbourhood_group</th>\n",
" <th>neighbourhood</th>\n",
" <th>latitude</th>\n",
" <th>longitude</th>\n",
" <th>room_type</th>\n",
" <th>price</th>\n",
" <th>minimum_nights</th>\n",
" <th>number_of_reviews</th>\n",
" <th>last_review</th>\n",
" <th>reviews_per_month</th>\n",
" <th>calculated_host_listings_count</th>\n",
" <th>availability_365</th>\n",
" <th>minimum_nights_temp</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>7845</th>\n",
" <td>Light &Airy home--convenient Seattle location</td>\n",
" <td>Deanna</td>\n",
" <td>Central Area</td>\n",
" <td>Harrison/Denny-Blaine</td>\n",
" <td>47.621206</td>\n",
" <td>-122.293840</td>\n",
" <td>Entire home/apt</td>\n",
" <td>5400</td>\n",
" <td>7</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>1</td>\n",
" <td>143</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8107</th>\n",
" <td>We are true 12's!</td>\n",
" <td>Chris</td>\n",
" <td>Queen Anne</td>\n",
" <td>West Queen Anne</td>\n",
" <td>47.630456</td>\n",
" <td>-122.367444</td>\n",
" <td>Entire home/apt</td>\n",
" <td>4000</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1041</th>\n",
" <td>Neat & Roomy Photography Studio</td>\n",
" <td>Steve</td>\n",
" <td>Central Area</td>\n",
" <td>Minor</td>\n",
" <td>47.602292</td>\n",
" <td>-122.308681</td>\n",
" <td>Entire home/apt</td>\n",
" <td>3999</td>\n",
" <td>29</td>\n",
" <td>58</td>\n",
" <td>2016-09-21</td>\n",
" <td>1.29</td>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5405</th>\n",
" <td>Spacious Family-Friendly Tri-Plex with Views i...</td>\n",
" <td>Kimberly</td>\n",
" <td>Queen Anne</td>\n",
" <td>West Queen Anne</td>\n",
" <td>47.630824</td>\n",
" <td>-122.368964</td>\n",
" <td>Entire home/apt</td>\n",
" <td>1650</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>2018-08-07</td>\n",
" <td>0.22</td>\n",
" <td>5</td>\n",
" <td>222</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3908</th>\n",
" <td>Seattle Executive Home for Large Gatherings</td>\n",
" <td>Andrew</td>\n",
" <td>Seward Park</td>\n",
" <td>Seward Park</td>\n",
" <td>47.547348</td>\n",
" <td>-122.266204</td>\n",
" <td>Entire home/apt</td>\n",
" <td>1395</td>\n",
" <td>7</td>\n",
" <td>2</td>\n",
" <td>2018-08-19</td>\n",
" <td>0.10</td>\n",
" <td>1</td>\n",
" <td>358</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6963</th>\n",
" <td>Summer Apart (girls only)</td>\n",
" <td>Happy</td>\n",
" <td>University District</td>\n",
" <td>University District</td>\n",
" <td>47.663574</td>\n",
" <td>-122.315006</td>\n",
" <td>Private room</td>\n",
" <td>1250</td>\n",
" <td>7</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>1</td>\n",
" <td>365</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3892</th>\n",
" <td>Beautiful French Style Home with Panoramic Views.</td>\n",
" <td>Amy</td>\n",
" <td>Queen Anne</td>\n",
" <td>Lower Queen Anne</td>\n",
" <td>47.629652</td>\n",
" <td>-122.360114</td>\n",
" <td>Entire home/apt</td>\n",
" <td>1200</td>\n",
" <td>4</td>\n",
" <td>2</td>\n",
" <td>2017-08-06</td>\n",
" <td>0.10</td>\n",
" <td>1</td>\n",
" <td>8</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6982</th>\n",
" <td>LARGE HOUSE ON LAKE WASHINGTON WITH HOT TUB!!!!</td>\n",
" <td>Jason</td>\n",
" <td>Central Area</td>\n",
" <td>Leschi</td>\n",
" <td>47.591348</td>\n",
" <td>-122.287627</td>\n",
" <td>Entire home/apt</td>\n",
" <td>1129</td>\n",
" <td>30</td>\n",
" <td>9</td>\n",
" <td>2018-08-09</td>\n",
" <td>1.57</td>\n",
" <td>12</td>\n",
" <td>365</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4485</th>\n",
" <td>Family luxury-steps to Columbia City & light r...</td>\n",
" <td>Joel And Amanda</td>\n",
" <td>Rainier Valley</td>\n",
" <td>Columbia City</td>\n",
" <td>47.558111</td>\n",
" <td>-122.289506</td>\n",
" <td>Entire home/apt</td>\n",
" <td>1079</td>\n",
" <td>2</td>\n",
" <td>20</td>\n",
" <td>2018-10-07</td>\n",
" <td>1.15</td>\n",
" <td>1</td>\n",
" <td>362</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>904</th>\n",
" <td>Private Townhome 2 bedroom 1.5 bath</td>\n",
" <td>Natalie</td>\n",
" <td>Rainier Valley</td>\n",
" <td>Mount Baker</td>\n",
" <td>47.564861</td>\n",
" <td>-122.285446</td>\n",
" <td>Entire home/apt</td>\n",
" <td>1000</td>\n",
" <td>2</td>\n",
" <td>23</td>\n",
" <td>2018-06-29</td>\n",
" <td>0.48</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" name host_name \\\n",
"7845 Light &Airy home--convenient Seattle location Deanna \n",
"8107 We are true 12's! Chris \n",
"1041 Neat & Roomy Photography Studio Steve \n",
"5405 Spacious Family-Friendly Tri-Plex with Views i... Kimberly \n",
"3908 Seattle Executive Home for Large Gatherings Andrew \n",
"6963 Summer Apart (girls only) Happy \n",
"3892 Beautiful French Style Home with Panoramic Views. Amy \n",
"6982 LARGE HOUSE ON LAKE WASHINGTON WITH HOT TUB!!!! Jason \n",
"4485 Family luxury-steps to Columbia City & light r... Joel And Amanda \n",
"904 Private Townhome 2 bedroom 1.5 bath Natalie \n",
"\n",
" neighbourhood_group neighbourhood latitude longitude \\\n",
"7845 Central Area Harrison/Denny-Blaine 47.621206 -122.293840 \n",
"8107 Queen Anne West Queen Anne 47.630456 -122.367444 \n",
"1041 Central Area Minor 47.602292 -122.308681 \n",
"5405 Queen Anne West Queen Anne 47.630824 -122.368964 \n",
"3908 Seward Park Seward Park 47.547348 -122.266204 \n",
"6963 University District University District 47.663574 -122.315006 \n",
"3892 Queen Anne Lower Queen Anne 47.629652 -122.360114 \n",
"6982 Central Area Leschi 47.591348 -122.287627 \n",
"4485 Rainier Valley Columbia City 47.558111 -122.289506 \n",
"904 Rainier Valley Mount Baker 47.564861 -122.285446 \n",
"\n",
" room_type price minimum_nights number_of_reviews last_review \\\n",
"7845 Entire home/apt 5400 7 0 NaN \n",
"8107 Entire home/apt 4000 1 0 NaN \n",
"1041 Entire home/apt 3999 29 58 2016-09-21 \n",
"5405 Entire home/apt 1650 2 3 2018-08-07 \n",
"3908 Entire home/apt 1395 7 2 2018-08-19 \n",
"6963 Private room 1250 7 0 NaN \n",
"3892 Entire home/apt 1200 4 2 2017-08-06 \n",
"6982 Entire home/apt 1129 30 9 2018-08-09 \n",
"4485 Entire home/apt 1079 2 20 2018-10-07 \n",
"904 Entire home/apt 1000 2 23 2018-06-29 \n",
"\n",
" reviews_per_month calculated_host_listings_count availability_365 \\\n",
"7845 NaN 1 143 \n",
"8107 NaN 1 0 \n",
"1041 1.29 5 0 \n",
"5405 0.22 5 222 \n",
"3908 0.10 1 358 \n",
"6963 NaN 1 365 \n",
"3892 0.10 1 8 \n",
"6982 1.57 12 365 \n",
"4485 1.15 1 362 \n",
"904 0.48 1 0 \n",
"\n",
" minimum_nights_temp \n",
"7845 7 \n",
"8107 1 \n",
"1041 8 \n",
"5405 2 \n",
"3908 7 \n",
"6963 7 \n",
"3892 4 \n",
"6982 8 \n",
"4485 2 \n",
"904 2 "
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# View most expensive listings in Seattle\n",
"listings.sort_values(by = 'price', ascending=False).head(10)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x17540e4d940>"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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Wlted8hYRERHR50hqtd2l70hlRTgiIiIiBqUEwhERERExKOXLctGplx//P/5xxkm9PY2I6CXrf+qE3p5CRMQbIivCERERETEoJRDuwyRZ0i8a3q8o6fGGtMwHSMpSTUREREQPZGtE3/Y8sJ2koSXj3LuBv9dv2r6CHqZQbiRpiO3FS9tPRERERH+SFeG+7/fA+8v1YcCF9RuSxkk6rVyfK+lUSbdJelDSIaVckr5bzh6eK+nQUj5W0o2SLgDmLt9HioiIiOh9CYT7vouAj0halSq73O0d1N0A2APYH6h/u+1DwGhgR2Bf4LuSNij3dgG+bHub5o4kjZfUIqll/oLnm29HRERE9HsJhPs423OAkVSrwb/rpPrltl+1fTewfinbA7jQ9mLb/wBuAnYu9+6w/VA7406yXbNdGzFs9aV+joiIiIi+JnuE+4crgO8BY4G1O6i3qOFaTT/bkqXeiIiIGLSyItw/nA183XZP9vLeDBwqaYikdYG9gDuW6ewiIiIi+qGsCPcDtv8G/LCHzS8DdgXuBAx80fb/SRq1rOYXERER0R/Jdm/PIfq4Wq3mlpaW3p5GRERERKcktdqudaVutkZERERExKCUrRHRqZcff4RHf/w/vT2NiFjGNvj0N3p7ChERvSorwhERERExKCUQXg4kLZY0u+E1sg/MabikT/f2PCIiIiJ6S7ZGLB8LbY9u76akFW2/sjwnBAwHPg38eDmPGxEREdEnZEW4l0gaJ+kSSVcCk0vZFyTNkDRH0omlbKSkeySdJWmepPMl7SvpVkn3S9ql1Bsh6fLSdrqkHUr5RElnS5oi6UFJE8oUTgI2LyvU3+2FjyAiIiKiV2VFePkYKml2uX7I9kHleldgB9vzJe0HbAnsQpUN7gpJewF/AbYAPgyMB2YAH6VKnXwA8CXgg8CJwCzbH5S0D3AeUF+FHgXsDawB3CvpDOAEYLv2VqoljS/jsdGINZfNpxARERHRhyQQXj7a2xpxne355Xq/8ppV3g+jCoz/QhU8zwWQdBdwvW1LmguMLPX3AA4GsH2DpLUlrVXuXW17EbBI0mPA+p1N2PYkYBLAjpttmMOmIyIiYsBJINy7nm+4FvBt2z9prFC+WLeooejVhvevsuR3qDb6rwewje0Xk997RERERPYI9yHXAkdLGgYgaSNJ63Wj/c3A4aXtWOAJ2892UP85qq0SEREREYNSVgb7CNuTJb0VmCYJYAFwBNUKbldMBM6RNAd4ATiyk/GeLF+4mwf83vYXejz5iIiIiH5IdrZ/RsdqtZpbWlp6exoRERERnZLUarvWlbrZGhERERERg1IC4YiIiIgYlLJHODr18mN/5ZHTj+3taUQMWht+5n97ewoREQNSVoQjIiIiYlDqNBCW9C+SLpL0J0l3S/qdpK16MlhJK7xhD9pNlHR8O+V/L2mC75F0hqQeBfeSbutJu6UhaXGZ+12S7pT0+fr8JdUkndpB25GSPtrB/Q0l/bqT8Y+VtFrPnyAiIiKi/+owaFR1jtdlwBTbm9vehiqlb6eZydoxDmgzEJY0pId9nlKytm0DbA+8syed2N6th+MvjYW2R9veFng38D7ga2U+LbYndNB2JFWq5deRtKLtR2wf0sn4xwIJhCMiImJQ6mz1dG/gZdtn1gtsz7Y9FUDSFyTNkDRH0omlbKSkP0r6aVnpnCxpqKRDgBpwflkFHSrpYUlflXQL8GFJnyj93SnpN91crVwZWBV4qsxjiqRauV5H0sPleltJd5Q5zJG0ZSlfUH6OLW1/XVaZzy9/ECBpjKSbJLVKulbSBqV8QlktnyPpolL2zjLGbEmzJHWYvML2Y8B44LOqjJV0VQd9nQTsWcqOK6vtl0i6Ephcfg/zSvshkr4naW6Z4+ckTaD6o+RGSTd243OOiIiIGBA6C4S3A1rbuiFpP2BLYBdgNDBG0l7l9pbA6WWl82ngYNu/BlqAw8sq6MJS90Xbe9i+CLjU9s62dwT+CHy8C89wnKTZwKPAfbZnd1L/GOCHZRW5BvytjTo7Ua2WbgO8Bdhd0krAj4BDbI8Bzga+WeqfAOxke4fSP8DxwGfKOHsCC+mE7QepfifNGeXa6usEYGr5LE8p9XYFjrS9T1P78cCbG+Z4vu1TgUeAvW3v3TwXSeMltUhqeXJBp1OPiIiI6HeW5sty+5XXLGAmMIoqAAZ4qCEgbaX6b/z2XNxwvZ2kqZLmUqUL3rYL86hvjVgPWF3SRzqpPw34kqT/AjZrCMgb3WH7b7ZfBWaX+W9N9YfBdSXw/gqwcak/h2ql+wjglVJ2K/CDsvI63PYrdI3aKOtqX9fZnt9G+b7AmfV27dR5DduTbNds19YeNrSLU4+IiIjoPzoLhO8CxrRzT8C3y4rkaNtb2P5Zubeood5iOj6m7fmG63OBz9reHjiRaqtDl9h+GbgGqK9Kv8KS51u1od4FwAFUq6rXSmpePW1v/gLuanje7W3vV+q8Hzid6rNqLXt0TwL+HRgKTJc0qrNnkPSWMt5jTc/W1b6eb6dcQFIIRkRERDToLBC+AVhF0ifqBZJ2lvRO4FrgaEnDSvlGkpr/S7/Zc0BHe2XXAB4t2xAO73T2Dco+3t2AP5Wih1kSxB/SUO8twINla8AVwA5dHOJeYF1Ju5Z+Vir7jVcANrF9I/BFYDgwTNLmtufaPplqS0iHgbCkdYEzgdPclPe6nb46+ywbTQaOkbRi6W9EKe9OHxEREREDSoeBcAnIDgLerer4tLuAicAjticDFwDTylaGX9N5UHUucGb9y3Jt3P8f4HbgOuCeLj5DfY/wPKqV2x+X8u8Bn1J1LNo6DfUPBeaVNqOA87oyiO2XqALqkyXdSbVlYjdgCPDL8hnMotqq8TRwrKR5pe5C4PdtdDu0fBZ3AX+gClhPbKNeW33NAV4pXyw8rpPpnwX8BZhT+qifNjEJ+H2+LBcRERGDkZoWHyNep1aruaWlpbenEREREdEpSa22a12pm8xyERERETEodfQltggAXnrsIf76oyN6exoR/cYmn/tlb08hIiK6ICvCERERETEo9flAuDFDWkPZREnHd9KuJunUN3hutzXMsc10xx20HSvpmZIp7l5JN0vav+H+MZI+1kn7dtNCSzpA0gkd3B8u6dPdmXNERETEQDJgt0bYbqE6amyplDOB20xgYbseiI6kOonhgm52P9X2/mWc0cDlkhbavr4xrXU7xgILgNvamfMVVMfDtWc48GmWnLIRERERMaj0+RXhzkiaIulkSXdIuk/SnqV8rKSrJK0g6WFJwxvaPCBpfUnrSvqNpBnltXu5P1HSJEmTgfPKecF3lKPO5kjastRbULo8Cdiz3D+uZMcb3TDerZI6PK+4ZOL7OvDZhjkcX64nSLq7jH2RpJFUqZyPK2PuKelcST8oR6GdLGmcpNNK+/UlXVaOWruzrCSfBGxe2n93aX8PEREREf3NQFkRXtH2LpLeB3yNKqUwALZflfRbqvOQz5H0duBh2/+QdAHVub+3SNqUKknIW0vTMcAethdK+hHwQ9vnS1qZ6uzgRicAxzes7s4HxlGd/7sVsIrtOV14jpnAF9ooPwF4s+1FkobbflrSmcAC298rY34c2ArY1/ZiSeMa2p8K3GT7IElDgGGlz+1KeurXkTQeGA+w0ZtW68LUIyIiIvqX/rAi3N5Bx43ll5afrVTbFJpdTJVIA+Aj5T1UAfNpJbnGFcCakupJQa6wvbBcTwO+JOm/gM0ayttzCbC/qgx5R1MlEukKtVM+Bzhf0hFUqaPbHdf24jbK9wHOALC92PYznU3E9iTbNdu1EcO6nOk6IiIiot/oD4Hwk8CbmspGAE80vF9Ufi6m7VXuacAWJY3xB1kSOK8A7Gp7dHltZPu5cu/5emPbFwAHUGV1u1bSPh1N2PYLVNnxDgT+la7vHd4J+GMb5e8HTqdapW6tp0puw/PtlEdEREREkz4fCNteADwq6V0AkkYA7wFu6UYfBi4DfgD80faT5dZkyp7c0nd72wTeAjxo+1SqlePm/b7P8fr00mdRbUmYYXt+Z3Mse4j/hyrgbSxfAdjE9o3AF6m+5DasnTHbcz3wqdLfEElrdrN9RERExIDT5wPh4mPAV8oWhhuAE23/qZt9XAwcwZJtEQATgFr5EtrdVF9Aa8uhwLwy/ijgvKb7c4BXyhfRjgOw3Qo8C5zTwZz2rB+fRhUAT7B9fVOdIcAvJc0FZlHtaX4auBI4qP5luY4fnf8A9i59tALblj8GbpU0L1+Wi4iIiMFI1WJpLGuSNgSmAKNsv9rL01kqtVrNLS1LfRJdRERExBtOUqvtWlfq9pcV4X6lJMK4Hfhyfw+CIyIiIgaqrAhHp7bfdLgv/8I7e3saEX3a5p/7bW9PISIiyIpwRERERESnEggvZ5K+LOmu8gW92ZLeLulYSclaEREREbEcDZTMcv2CpF2B/YG3lSxx6wArU51k8Uvghd6cX0RERMRgkhXh5WsD4AnbiwBsPwEcAmwI3CjpRgBJ+0maJmmmpEskDZP0Xkm/qnckaaykK9urX8oflnRiKZ8raVQpf2dZjZ5djm/LecIREREx6CQQXr4mA5tIuk/SjyW9syTpeATY2/beZZX4K8C+tt8GtACfp8pU9w5Jq5e+DgUu7qB+3ROl/Azg+FJ2PPAZ26OBPaky5r2GpPGSWiS1zF/w0rL9FCIiIiL6gATCy1HJkjcGGA88ThXIjmuq9g5gG6pkF7OBI4HNbL8CXAN8oKRYfj/w2/bqN/RXTyfdCows17cCP5A0ARhe+m6e6yTbNdu1EcNWXroHj4iIiOiDskd4ObO9mCrRxpSS6e3IpioCrrN9WBvNLwY+A8ynSt38nKSO6gMsKj8XU37ftk+SdDXwPmC6pH1t37M0zxURERHR32RFeDmStLWkLRuKRgN/Bp4D6vt0pwO7S9qitFlN0lbl3hTgbcAnWJIquqP67c1jc9tzbZ9MtZVi1FI/XEREREQ/k0B4+RoG/FzS3ZLmUG1pmAhMAn4v6UbbjwPjgAtLnemUQLWsJl8FvLf8pKP6HThW0jxJd1LtD/79snzIiIiIiP4gmeWiU7VazS0tLb09jYiIiIhOJbNcREREREQnEghHRERExKCUUyOiUy8+9gB/PP2A3p5GRLe99TNX9PYUIiKiD8uKcEREREQMSn0yEJa0oA/MYWNJv5V0v6QHJZ0maZVentNxkl6UtFZvziMiIiJiIOiTgfDyVjK1Nb4XVUa2y21vCWwJDAW+0wvTa3QYMAM4qJfnEREREdHv9ZtAWNJmkq6XNKf83FTSkLJaK0nDJb0qaa9Sf6qkLSStLulsSTMkzZJ0YLk/TtIlkq4EJjcNtw/wou1z4J/n9x4HfEzSsNL2tIa5XSVpbLneT9I0STNL/8NK+RhJN0lqlXStpA1K+RRJJ0u6Q9J9kvZs5/k3pzqH+CtUAXG9fJykSyVdU1avv9Nwb4Gkb0q6U9J0SeuX8nUl/aZ8JjMk7b4Uv5qIiIiIfqnfBMLAacB5tncAzgdOLQHqfVSJKfYAWoE9yxaGjW0/AHwZuMH2zsDewHclrV763BU40vY+TWNtW/r6J9vPAg8DW7Q3QUnrUAWq+9p+G1XWts9LWgn4EXCI7THA2cA3G5quaHsX4Fjga+10fxhwITAV2FrSeg33RgOHAtsDh0rapJSvDky3vSNwM1VGOoAfAqeUz+Rg4Kw2nmW8pBZJLfMXvNTeI0dERET0W/3p1IhdgQ+V61+wZJvCVGAv4M3At6mCvZuothAA7AccIOn48n5VYNNyfZ3t+W2MJaCtTCPqZI7voArKb612V7AyMA3YGtgOuK6UDwEebWh3afnZCoxsp++PAAfZflXSpcCHgdPLvettPwMg6W5gM+CvwEuUDHSl73eX632BbcpcANaUtIbt5+oFtidRZbxju02HJ+tKREREDDj9KRBuVg/OpgLHABsCXwW+AIylWgGFKng92Pa9jY0lvR14vp2+76JaKW2svyawPnAvVVDbuJq+asNY19k+rKnt9sBdtndtZ7xF5edi2vidSNqBap/ydQ0B9oMsCYQXNVRv7ONlL0kd2Fi+ArCr7YXtzCciIiJiwOtPWyNuo1oVBTgcuKVc3w7sBrxq+0VU+uuCAAAgAElEQVRgNvBJqgAZ4Frgc+ULcEjaqQtjXQ+sJuljpc0Q4PvAaSV4fBgYLWmFsg1hl9JuOrC7pC1Ku9UkbUUVPK8raddSvpKkbbvx7IcBE22PLK8NgY0kbdaNPhpNBj5bfyNpdA/7iYiIiOi3+mogvJqkvzW8Pg9MAI6SNAf4N+A/AGwvotoGML20nQqsAcwt778BrATMkTSvvO9QWUU9CDhE0v3Ak1SBdn1f763AQ2WM7wEzS7vHgXHAhWWe04FRtl8CDgFOlnQnVbC+Wzc+j48AlzWVXcaSPwy6awJQK188vJtqRT0iIiJiUNGS/zmP9kjajeqLah+y3dpZ/YGmVqu5paWlt6cRERER0SlJrbZrXanbn/cILze2b6P6AlpEREREDBAJhKNTCx9/gDvPOKC3pxHRJTt+6orenkJERPQTfXWPcERERETEG6rfBcKSLOn7De+PlzSxm32MLft+6+/PlXRIF9otljS7ZGqb2dhHXyDp4ZLUo/5+rKSryvUBkk4o1xPr5yp39dkjIiIiBpp+FwhTnZn7ocaArzskrUh1znBPgtiFtkeXTG3/TZXAo1+wfYXtk3p7HhERERF9RX8MhF+hynh2XPMNSZtJur4cC3a9pE1L+bmSfiDpRuBiquPCjiuru3uW5ntJuk3Sg11cIV0TeKph7C9ImlHGPrGh/HJJrZLukjS+ofw9ZVX5TknXl7IRpf4cSdNLIo36Cu7ZkqaU+U3o7ocmaZyk07rbLiIiImKg6q9fljud6lzg7zSVnwacZ/vnko4GTgU+WO5tBexre3HZSrHA9vcAJH0c2ADYAxgFXAH8uo1xh0qaTZVJbgNgn9J+P6rMb7tQZZe7QtJetm8GjrY9X9JQYIak31D9AfJTYC/bD0kaUfo/EZhl+4OS9gHOA+rJLkYBe1OdkXyvpDNsv9zGHG+UtLhcDwPu6eiDbE8J2scDbDBiaE+6iIiIiOjT+uOKMLafpQoSm1dGdwUuKNe/oAps6y6xvZj2XW77Vdt3U6VSbkt9a8Qo4D3AeSVj3X7lNYsqucYoqsAYYEJJojEd2KSUvwO42fZD5Xnml7p7lHlj+wZgbUlrlXtX215k+wngsQ7muHeZ42jg3zt43g7ZnmS7Zrv2pmEr97SbiIiIiD6rv64IA/wvVdB5Tgd1GrOFPN9Jf4sartXZ4LanlX3K65b637b9k8Y6ksYC+wK72n5B0hSq1WQ1za2jcev1Gue3mP79u4uIiIjodf1yRRj+uYr6K+DjDcW3sSTt8OHALe00f45qi0GPSRoFDKFKv3wtcLSkYeXeRpLWA9YCnipB8CiqlWCAacA7Jb251K9vjbi5zLseRD9RVr8jIiIiYhnr76uK3wc+2/B+AnC2pC8AjwNHtdPuSuDXkg4EPteN8ep7hKFavT2ybLeYLOmtwLRqpwQLgCOAa4BjJM0B7qXaHoHtx8se3EslrUC11eHdwETgnFL/BeDIbswtIiIiIrpBdlv/Qx+xRK1Wc0tLS29PIyIiIqJTklpt17pSt99ujYiIiIiIWBr9fWtELAfPP/4AM37ygd6eRkSbdv7klb09hYiI6KeyIhwRERERg1IC4U5IWlwy0M2TdImk1Ur5beXnWElXLUX/50p6QdIaDWU/lOTuppGW9HB32kj6Unf6j4iIiBhIEgh3rp5EYzvgJar0zNjebRmO8QBwIEA5RWJv4O/d6UDSkB6Mm0A4IiIiBq0Ewt0zFdgCQNKC5puSdpY0S9JbJK0u6WxJM0rZgR30eyFwaLkeC9wKvNLQ7+WSWiXdVY5dq5cvkPR1SbdTZdWrlw+VdI2kT5T3R0i6o6xs/0TSEEknUY6Dk3R+jz+RiIiIiH4qgXAXSVoReC8wt537uwFnAgfafhD4MnCD7Z2pVni/K2n1drq/H1hX0puAw4CLmu4fbXsMUKNK2bx2KV8dmGf77bbryUOGUZ2TfIHtn5bzjQ8Fdi9plxcDh9s+gSWr3Ye38TzjJbVIanl6wUudfj4RERER/U1OjehcYxKNqcDP2qjzVmASsJ/tR0rZfsABko4v71cFNgX+2M44l1JlxXs78MmmexMkHVSuNwG2pMpotxj4TVPd3wLfsV1f5X0XMAaYUZJ9DKVK4NEh25PKM/HWzYbnsOmIiIgYcBIId25hWUntyKNUge5OQD0QFnCw7XsbK0o6p17P9vsabl0EzAR+bvvVErTWUy3vC+xaUjVPKWMBvFgy2zW6FXivpAtcZUtR6fO/u/rAEREREYNBtkYsG08D7we+VQJXgGuBz6lEtJJ2ArB9VNmO0BgEY/svVNspftzU91rAUyUIHgW8o5O5fJVqtbjez/XAIZLWK/MYIWmzcu9lSSt171EjIiIiBoYEwsuI7X8AHwBOl/R24BvASsAcSfPK+876+IntPzUVXwOsKGlO6WN6F6ZzLLCqpO/Yvhv4CjC59HEdsEGpN6nML1+Wi4iIiEFH1f+eR7SvVqu5paWlt6cRERER0SlJrbZrXambFeGIiIiIGJQSCEdERETEoJRTI6JTCx5/gNsm7d/b04h4nd3G9zi7eURERFaEIyIiImJwSiDcDZLWl3SBpAdLyuNpDYku+iVJD0tap7fnEREREbG8JRDuonIe8OXAzbbfUlIefwTYuKletptERERE9AMJhLtuH+Al22fWC2z/2faPJI2TdImkK4HJAJK+IGmGpDmSTqy3kXSEpDskzZb0E0lDSvkCSd+UdKek6WX1eUhZfZak4ZJelbRXqT9V0hYlQcblZZzpknYo99srX1vSZEmzJP2EKvNcRERExKCTQLjrtqVKgdyeXYEjbe8jaT9gS2AXYDQwRtJekt4KHArsXtI2LwYOL+1XB6bb3hG4GfhESZ98H7ANsAfQCuwpaRVgY9sPACcCs2zvAHwJOK/0117514BbbO8EXAFs2tbDSBovqUVSy9MLXurGxxQRERHRP+S/8XtI0ulUwelLwOnAdbbnl9v7ldes8n4YVWC8AzAGmFEyLw8FHit1XgLqX4FvBd5drqcCewFvBr4NfAK4CZhR7u8BHAxg+4ay4rtWB+V7AR8q5VdLeqqt57M9iSrzHKM2G56sKxERETHgZEW46+4C3lZ/Y/szwLuAdUvR8w11BXzb9ujy2sL2z0r5zxvKt7Y9sbR52UvS/C1myR8pU4E9qVaXfwcMB8ZSrRrXx2rmDsobf0ZEREQMWgmEu+4GYFVJn2ooW62dutcCR0saBiBpI0nrAdcDh5Tr+j7ezToZ93ZgN+BV2y8Cs4FPUgXIUAXEh5f+xgJP2H62i+XvBd7UpaePiIiIGGCyNaKLbFvSB4FTJH0ReJxqFfi/qLY4NNadXPYDTytbIBYAR9i+W9JXgMmSVgBeBj4D/LmDcRdJ+iswvRRNBQ4D5pb3E4FzJM0BXgCO7KT8ROBCSTOptlj8pQcfR0RERES/pyX/Gx/Rtlqt5paWlt6eRkRERESnJLXarnWlbrZGRERERMSglK0R0annnrifm376/t6eRvSyd37i6t6eQkRExDKVFeGIiIiIGJQGbSAs6V8kXSTpT5LulvQ7SVt1UH+kpHnLaOxxkk5r595t3exrWMlQ9ydJd0m6WdLbG/sqc//o0s88IiIiYuAYlIGwqqMcLgOm2N7c9jZU2dfW792Zge3dutnkLGA+sKXtbYFxwDpNfY0EEghHRERENBiUgTCwN1UCizPrBbZn256qynclzZM0V9KhzY2bV3QlXVXO6kXSAkknS2qV9AdJu0iaIulBSQc0dLOJpGsk3Svpaw19LSg/h0m6XtLMMo8D25jH5sDbga/YfrU8x4O2r27sCziJKjXzbEnHSZoqaXRDP7dK2qEHn2NEREREvzVYvyy3HVUa47Z8CBgN7Ei1sjpD0s3t1G3L6lQrzf8l6TLg/6NKl7wN8HPgilJvlzKPF8oYV9tuPKPsReAg289KWgeYLukKv/a8u22B2bYXdzKnE4Djbe8PIGk+1crxsWU7yCq25zQ2kDQeGA+w/ohVu/H4EREREf3DYF0R7sgewIW2F9v+B1XSiZ270f4l4JpyPRe4yfbL5XpkQ73rbD9peyFwaRm3kYBvlYQYfwA2Ytlt3bgE2F/SSsDRwLnNFWxPsl2zXVtrjZWX0bARERERfcdgXRG+CziknXvqQvtXeO0fEY1Lpi83rNq+CiwCsP2qpMbPuzmTSfP7w4F1gTG2X5b0cNM4UD3HjpJWqG+N6ArbL0i6DjgQ+FegS4dOR0RERAwkg3VF+AZgFUmfqBdI2lnSO4GbgUMlDZG0LrAXcEdT+4eB0ZJWkLQJ1TaH7nq3pBGShgIfBG5tur8W8FgJgvcGNmvuwPafgBbgxPIFQCRt2cZ+4ueANZrKzgJOBWbYnt+D+UdERET0a4MyEC4rtgdRBaN/knQXMBF4hOo0iTnAnVQB8xdt/19TF7cCD1Ftd/geMLMH07gF+AUwG/hN0/5ggPOBmqQWqtXhe9rp59+BfwEekDQX+Gl5jkZzgFck3SnpOADbrcCzwDk9mHtEREREv6fXfvcqBgtJGwJTgFGdbauo1WpuaWmO0yMiIiL6Hkmttru07XNQrggPdpI+BtwOfLk7e4sjIiIiBpKsCEenth65ln/8leZDLWKwede/X93bU4iIiOhUVoQjIiIiIjrRpwNhSZb0/Yb3x0ua2M0+xkrareH9uZLaOzqtsd3Gkn4r6f6SFe40Sat06wGWsZIV7kVJa/XmPCIiIiIGgj4dCFOdwfuhklmt28q5vWOB3Tqp2txOVEkuLre9JbAlMBT4Tk/msQwdBsygOvEiIiIiIpZCXw+EXwEmAcc135C0maTrJc0pPzct5edK+oGkG4GLgWOA4yTNlrRnab6XpNvKSm9bq8P7AC/aPgegpDA+DviYpGGSxkk6rWEuV0kaW673kzRN0kxJl0gaVsrHSLpJUqukayVtUMqnSDpZ0h2S7muYY/Pzbg4MA75CFRDXy8dJulTSNWX1+jsN9xZI+mY5Nm26pPVL+bqSfiNpRnnt3vmvIiIiImJg6euBMMDpwOFtbAc4DTjP9g5UZ+6e2nBvK2Bf2wcDZwKn2B5te2q5vwFVSuP9gZPaGHNboLWxwPazVIk0tmhvomXl+itl7LdRJbv4fEll/CPgENtjgLOBbzY0XdH2LsCxwNfa6f4w4EJgKrC1pPUa7o0GDgW2p0oGskkpXx2YbntHqkQh9QQiP6T6THYGDqZKrtH8LOMltUhqefq5l9p75IiIiIh+q8+nWLb9rKTzgAnAwoZbuwIfKte/4LXbFi4pq7jtubwcG3Z3fZW0iXh9yuN6eUfeAWwD3FoSva0MTAO2BrYDrivlQ4BHG9pdWn62AiPb6fsjwEElVfOlwIep/kgAuN72MwCS7qbKQvdX4CXgqoa+312u9wW2KXMBWFPSGrafqxfYnkS1Gs/WI9fK0SIREREx4PT5QLj4X6rsbR1lQWsM1p7vpL9FDddtBbd3Ua2ULqkkrQmsD9xLFdQ2rqav2tDXdbYPa2q7PXCX7V07mc9i2vidSNqBap/ydQ0B9oMsCYQbn6exj5e95Hy8xvIVgF1tN/5hERERETGo9IetEdieD/wK+HhD8W1Uq6RQpSC+pZ3mzwFrdHPI64HVSuIJJA0Bvg+cVoLHh4HRklYo2xB2Ke2mA7tL2qK0W03SVlTB87qSdi3lK0nathvzOQyYaHtkeW0IbCRps24+V91k4LP1N5JG97CfiIiIiH6rXwTCxfeBxtMjJgBHSZoD/BvwH+20uxI4qOnLch0qq6gHAYdIuh94EnjVdn1f763AQ8Bc4HtUq9XYfhwYB1xY5jWdKoXxS8AhwMmS7gRm072TLD4CXNZUdhlL/hDorglArXzR8G6qLxRGREREDCrJLNcF5RziC4EP2W7trP5AU6vV3NLS0tvTiIiIiOhUdzLL9Zc9wr3K9m1UX0CLiIiIiAGiP22NiIiIiIhYZrIiHJ169on7ueZn7+vtacQb6D0f/11vTyEiImK5y4pwRERERAxKgy4QlrS4nCAxr6RAXk3SSEnz2qn/dUn7Lu95lrEfljS3nO5wU+NxaZJua6fNue2kjY6IiIiIBoMuEAYWlnTL21FlXuvw6DDbX7X9h+UztTbtXdJIT6FK3wyA7e4cvxYRERERTQZjINxoKrBFuR4i6aeS7pI0WdJQeO0Ka1mhPVHSzLJSO6qUT5R0tqQpkh6UNKE+gKQjJN1RVqF/ImmIpI9LOqWhzick/aCTuU4DNmpos6D8lKTTJN0t6WpgvYY675N0j6RbJJ0q6apSvnqZ7wxJsyQduBSfYURERES/NGgDYUkrAu+lSooBVQrj021vCzxNU4rlBk/YfhtwBnB8Q/ko4P9RZZn7Wske91bgUGB326Op0hwfDlwEHCBppdL2KDpOHw3wHuDyNsoPArYGtgc+QUnUIWlV4CfAe23vAazb0ObLwA22dwb2Br4rafXGTiWNl9QiqeWZ517qZGoRERER/c9gDISHSpoNtAB/AX5Wyh+yPbtctwIj22l/aTt1rra9yPYTwGPA+sC7gDHAjDLmu4C32H4euAHYv6wqr2R7Lm27UdJjwL7ABW3c3wu40PZi24+UfqEKzB+0/VB5f2FDm/2AE8qcpgCrAps2dmp7ku2a7dpaa6zcztQiIiIi+q/BeHzawrI6+0+SABY1FC0GhrbTflFDnRXbKG+8J+Dntv+7jX7OAr4E3EPHq8F7A88D5wJfBz7fRp220gOqgz4FHGz73g7qRERERAxog3FFeHm6HjhE0noAkkbUT36wfTuwCfBRXrta+zq2FwLHAh+TNKLp9s3AR8re4w2oAmeoAuy3SBpZ3h/a0OZa4HMqfwFI2qlnjxcRERHRfyUQfgPZvpvqpIfJkuYA1wEbNFT5FXCr7ae60NejVAHzZ5puXQbcT7XX+QzgplJ/IfBp4BpJtwD/AJ4pbb4BrATMKcfGfaNHDxgRERHRj8lu63/VY3kopzicYvv6N6j/YbYXlJXf04H7bZ/SWbtmtVrNLS0ty36CEREREcuYpFbbta7UzYpwL5A0XNJ9VPuV35AguPhE+ULcXcBaVKdIRERERARZEY4u2HLkWj7lq8nfMVDtf/Tve3sKERERy0xWhCMiIiIiOtEvA2FJi0umtvrrhB70MVZSu8uckj4oaU7JzDavnl2uN0m6U1KHJ0xERERERNf013OEX3cWcA+MBRYAtzXfkLQj8D3g3bYfkvRm4A+SHrLdupTj9kjJUrcCsJek1UtSjoiIiIjooX65ItweSV+VNKOs4E5qOCd3gqS7ywrvReVs3WOA48qK8p5NXR0PfKuela38/Bbwn6W/KZJq5XodSQ+X6yGSvlvmMEfSJxvm9oWG8hNL2UhJf5T0U0l3SZosqb1EHh8FfgFMBg5o6HeKpJMl3SHpvvqzSBon6VJJ10i6X9J3GtrsJ2mapJmSLpE0rEcfeEREREQ/1l8D4aFNWyPqySJOs72z7e2oMsPtX8pPAHayvQNwjO2HgTOpji4bbXtqU//bUqVQbtQCbNPJvD4OPGN7Z2BnqlMb3ixpP2BLYBdgNDBG0l6lzZbA6ba3BZ4GDm6n70OBi6nOEj6s6d6KtnehSrrxtYby0aXd9sChkjaRtA7V2cb72n5bea7XZauTNF5Si6SWZxa81MljR0RERPQ/A21rxN6SvgisBoygOjbsSmAOcL6ky4HLu9C/eH3a4o5SFtftB+zw/7N3p+FyVWX6/783kwkkBAGxAZGooMgYSYEyShRBEBtooUNEW9Q/afypNNpI4xxwAEShRUQJNiKIQCOIjEloJQIhYCpkBJW0gs3UDTGEJAwBwv1/sdchReWMmc5Q9+e6znVqr732Wqvq8OLhyar1NOwnHkYV6B5UfmaU9iGl/X+AB23PLO3TgeErLEbaA3jS9l8lPQJcLOm1DYU4ru3g+d/YfrqMcT+wLbAJVUA/pSTMNwCmNs9pezwwHqpTI7rx3iMiIiL6lf4aCK9A0iDgAqBm+2FJ44BB5fYHgP2pthR8VdJOXQx3H1CjCqDbtGVPAV5ieTZ9UEMfAZ+1PbFpbQcDZ9i+sKl9OLC0oWkZVSa72Rhgh7YtGMDGVJnjn5TrtjGW8eq/afPY65U13mq7OascERER0VL669aI9rQFpPPLntejACStA2xj+zbgFKqM6BBgMTC0g7G+C3yxBKptAetJwNnl/kPAyPK68TSJicCnJK1fnnurpI1K+yfa9uJK2lrSFt15U2X9RwO72h5uezhwOCtuj+iuu4F9JG1Xxt9Q0ltXcqyIiIiIfqu/ZoQHl4ppbSbYPlXSRcAcqkB1Wrm3LvBzScOosqHn2l4o6Qbgl5IOp8rivrJP2PZMSf8G3CDpNVTbDUbZ/lPp8l3gPyV9FPhtwzp+UvreW76o9yRwhO1J5dSHqWU7whLgI1RZ2q7sDzxq+9GGttuBHSVt2Y3nX8X2k5KOA64o7w2qPcMP9HSsiIiIiP4sleW6QdKZwDuBg2233DfHarWa6/V61x0jIiIiellPKsv114zwWmW7xwU7IiIiIqJvG0h7hCMiIiIiui0Z4ejSwvnz+NXFh/T2MmI1O/ITt/T2EiIiInpVMsJ9hKQjJVnSDh3cv6ThfOKIiIiIWEUJhPuOMcCdwDG9vZCIiIiIVpBAuA8o5wvvQ1Wi+ZjSJknnS7pf0k3AFg39vyZpmqS5ksaXo9qQNFnSuZJul/QHSXtIulbSPEnfLH02knSTpFnl+dErrigiIiJi4Esg3DccQXUW8gPAAkm7A0cCbwN2AY4H9m7of77tPWzvTFWJ7rCGey/Y3h/4MfBr4NPAzsBxkjYD3g88Znu38vyE9hYkaaykuqT6oiUtd2JcREREtIAEwn3DGODK8vrKcr0/cIXtZbYf49WFO0ZJukfSHOA9QGPJ6OvL7znAfbYft70U+AuwTWk/UNJZkvaz/XR7C7I93nbNdm3jIRusrvcZERER0Wfk1IheVrK07wF2lmSqSngGflV+N/cfBFwA1Gw/LGkcy8tLAywtv19ueN12vZ7tBySNBA4FzpA0yfbpq/ltRURERPR5yQj3vqOAS21va3u47W2AB4EFwDGS1i2llEeV/m1B7/yyt7hHJ0lI2gp41vbPqUpF775a3kVEREREP5OMcO8bA5zZ1HYN8HZgHtVWhgeA3wHYXijpotL+EDCth/PtApwt6WXgReBTK73yiIiIiH5M9gr/+h7xKrVazfV6vbeXEREREdElSdNt17rTN1sjIiIiIqIlJRCOiIiIiJaUPcLRpafmz+Pqn76/t5cRq8nRH2/36OiIiIiWk4xwRERERLSkARcIlxLDJzVcT5T0k4br70n6/EqMe5KkDdtpP1zSdQ3XX5T03w3XH5R0ffNzKzH/cZLOL6/HSTp5VccsY10iqUdHsEVEREQMBAMuEAbuopQjlrQOsDmvrry2NzBlJcY9CVghEC7z7dVwvRewSNIWqzhfRERERKxBAzEQnkIJhKkC4LnAYkmvlfQaqvN5ZwBI+oKkaZJmSzqttG0k6SZJsyTNlTRa0onAVsBtkm5rnMz2k8DTkrYrTVtTnQPctoa9qYJlJI2RNKeMe1bbGJ20f1zSA5J+B+zT3puVdHx5D7MkXdOWtS6Z3vMk3SXpL21ZX1XOl3S/pJuALdobNyIiImKgG3CBsO3HgJckvZEqCJ0K3EOVqa0Bs22/IOkgYHtgT2AEMFLS/sD7gcds72Z7Z2CC7fOAx4BRtketOGuVhZb0NqoiGHeX6/WAXYFppaLbWVTllEcAe0g6opP2LYHTqALg9wE7dvCWr7W9h+3dgD8An2y4tyWwL3AYy4t2HAm8jaqwxvEsD9hfRdJYSXVJ9UVLXuhg6oiIiIj+a6CeGtGWFd4bOIcqS7s38DQlOwscVH5mlOshVIHxHcB3S2b2Rtt39GC+dakC798DXwPeAfzJ9vOS9gAmlwwyki4H9gfcQTtN7VcBb21n7p0lfRPYpLyHiQ33rrP9MnC/pNeXtv2BK2wvAx6T9Nv23pDt8cB4gLcMH5aqKxERETHgDNRAuG2f8C5UWyMeBv4VWARcXPoIOMP2hc0PSxoJHAqcIWmS7dO7Md9nqQLhi2wvljQIOIDl+4PVwbMdtUMVJHflEuAI27MkHVfmbLO0g3kS2EZERETLG3BbI4opVNsBFtheZnsBVcZ0L6qMLVSZ009IGgIgaWtJW5StCs/a/jnwXWD30n8xMLSD+e6n2kO8H8szzDOBE1iegb4HeLekzSWtC4wBftdF+wGSNpO0PnB0B3MPBR4vfY7txmdzO3CMpHXL9ov2tnpEREREDHgDNSM8h+q0iF80tQ2xPR/A9iRJbwemSgJYAnwE2A44W9LLwIvAp8rz44FbJD3evE/YtiXdAwyz/WJpngqMpQTCth+X9EXgNqrs7M22fw3VkWsdtI8r4zwO3EuVcW72Vaqg+a/lPXYUrLf5FdV+5DnAA1RBd0RERETLkZ1/JY/O1Wo11+v13l5GRERERJckTbdd607fgbo1IiIiIiKiUwN1a0SsRgv+No9fXHJwby8jVsGHj5vYdaeIiIgWk4xwRERERLSkBMLdJOn1kn5RqrRNlzRV0pFreQ3HSTq/B/0fkrT5mlxTRERERH+VQLgbVB0rcR1wu+032x4JHAO8oZ2+2W4SERER0Q8kEO6e9wAv2P5xW4Ptv9r+AbySqb1a0g3ApNL2BUnTJM2WdFrbc5I+Iun3kmZKurCcHYykJZK+JWmWpLsbKsF1SdKPSjnk+xrnarg/WNIEScd3toaIiIiIVpJAuHt2ojrHtzN7AR+z/R5JB1GVa94TGAGMlLR/Obd4NLCP7RHAMpYXwdgIuNv2blRFL47vwfq+XI4J2ZWqOMeuDfeGADcAv7B9URdreIWksSW4ri9e/EIPlhIRERHRP+Sf8VeCpB8C+1JlifcozbeWCnYAB5WftipzQ+/gBtcAACAASURBVKgC412BkcC0UsRjMPBE6fMCcGN5PR14Xw+W9I+SxlL9PbcEdgRml3u/Br5j+/Jy/d5O1vAK2+Opiojw5jcNy2HTERERMeAkEO6e+4APtV3Y/nT5ElpjlYlnGl4LOMP2hY2DSPos8DPbX2xnjhe9vLrJMrr5t5H0JuBkYA/bT0m6BBjU0GUKcIikX5Tx1ckaIiIiIlpGtkZ0z2+BQZI+1dC2YSf9JwKfkDQEQNLWkrYAfgMcVV4jaVNJ267i2jamCsKfLvuKD2m6/zXgb8AF5XpNrCEiIiKi30kg3A0lk3oE1f7bByX9HvgZ8G8d9J8E/AKYKmkO8EtgqO37ga8AkyTNBm6l2srQE8dJeqTthyrInUGVtb6YKgPc7CSqQP47q2kNEREREf2elv9rfET7arWa6/V61x0jIiIiepmk6eUQgS4lIxwRERERLSmBcERERES0pJwaEV36298e4GeXHNTby4hV8LHjJvX2EiIiIvqcZIT7OEmWdFnD9XqSnpR0Y2fPRURERETnEgj3fc8AO0saXK7fBzzai+uJiIiIGBASCPcPtwAfKK/HAFe03ZC0p6S7JM0ov99W2o+TdK2kCZLmSfpOwzNLJH1L0ixJd5fzhyMiIiJaSgLh/uFK4BhJg6jKNN/TcO+PwP6230FVPOPbDfdGAKOBXYDRkrYp7RsBd9veDbgdOH4Nrz8iIiKiz8mX5foB27MlDafKBt/cdHsY8DNJ2wMG1m+49xvbTwNIuh/YFngYeAFo22M8nWq7xatIGguMBdhss0HNtyMiIiL6vWSE+4/rge/SsC2i+AZwm+2dgQ8CjVHr0obXy1j+Pz4venkllcb2V9geb7tmuzZ06PrNtyMiIiL6vWSE+4+Lgadtz5F0QEP7MJZ/ee64tb2oiIiIiP4qGeF+wvYjtr/fzq3vAGdImgKsu5aXFREREdFvafm/kEe0r1aruV6v9/YyIiIiIrokabrtWnf6JiMcERERES0pgXBEREREtKR8WS66NP9vD/Aflx7U28uIHvrkP03q7SVERET0ackIR0RERERL6vOBsKRzJZ3UcD1R0k8arr8n6fMrMe5Jkjbs4N4Gkv5d0p8l/bekGyW9ceXeweoh6R2SLOng3lxHRERExEDR5wNh4C5gbwBJ6wCbAzs13N8bmLIS454EtBsIU5UpHgq81fZ2wDXAr8v8vWUMcGf5HRERERGrqD8EwlMogTBVADwXWCzptZJeA7wdmAEg6QuSpkmaLem00raRpJskzZI0V9JoSScCWwG3SbqtcbKSJf448DnbywBs/xRYAhwoabikuQ39T5Y0rrx+i6QJkqZLukPSDqX9dZKuKWubJmmf0j5O0sWSJkv6S1nXCiQJOIqqYMZBkgaV9uGS/iDpIkn3SZokaXC5N1nSWZJ+L+kBSfuV9nUlnd3wOf3zSv9lIiIiIvqxPh8I234MeKlsTdgbmArcA+wF1IDZtl+QdBCwPbAnMAIYKWl/4P3AY7Z3K2WIJ9g+D3gMGGV7VNOU2wH/Y3tRU3sd2LGL5Y4HPmt7JHAycEFp/z5wru09gA8BP2l4Zgfg4LLur0tqr57xPsCDtv8MTAYObbi3PfBD2zsBC8v4bdazvSdV9vvrpe2TVBXq9gD2AI6X9KbmCSWNlVSXVF+8+MUu3nZERERE/9NfTo1oywrvDZwDbF1eP021dQLgoPIzo1wPoQoS7wC+K+ks4Ebbd3Qxl4D2qoyo04ekIWVNV1cJXABeU34fCOzY0L6xpKHl9U22lwJLJT0BvB54pGn4McCV5fWVwEeBa8v1g7ZnltfTgeENz13bTvtBwK6SjirXw6g+pwcbJ7Q9niqwZ/ibNk7VlYiIiBhw+ksg3LZPeBeqrREPA/8KLAIuLn0EnGH7wuaHJY2kyqKeIWmS7dM7meu/gW0lDbW9uKF9d+CXwEu8OpM+qPxeB1hoe0Q7Y64D7GX7uaZ1ASxtaFpG099E0rpUWd6/l/Tl8j43awikm58f3HC9tKG9bVxRZa0ntrPOiIiIiJbR57dGFFOAw4AFtpfZXgBsQrU9YmrpMxH4RMnMImlrSVtI2gp41vbPge9SBbQAi6m+EPcqtp8BfgacU4JQJP0T8HxZx/8BW0jarOxRPqw8twh4UNLR5RlJ2q0MOwn4TNscktoLljtyIDDL9ja2h9velurLe0f0YIxGE4FPtW3BkPRWSRut5FgRERER/VZ/yQjPoTot4hdNbUNszwewPUnS24GpJdO6BPgI1Z7fsyW9DLwIfKo8Px64RdLj7ewT/iJwNvCn8uWzJ6kyugZelHQ61T7lB4E/Njx3LPAjSV8B1qfaxjALOBH4oaTZVJ/57cAJ3XzvY4BfNbVdU95HV9s82vMTqm0S95Yv4T3JygfVEREREf2WqtguOiLp74AJwAVl32zLqdVqrtfrvb2MiIiIiC5Jmm671p2+/SUj3Gts/y/VKRQRERERMYAkEI4uPfm3eVx4WQra9TX//NF83zEiImJV9Jcvy0VERERErFYJhHuJpCMluaH63HBJH264f4CkG1dh/C81Xd/VUd+IiIiIVpRAuPeMAe4EjinXw4EPd9i7514VCNveu6OOEREREa0ogXAvKGcd70NV7rgtED4T2E/STEmfa+q/p6S7JM0ov99W2o+TdK2kCZLmSfpOaT8TGFzGury0LWkY7xRJcyTNKn0jIiIiWk6+LNc7jgAm2H5A0gJJuwOnAifbPgyqrREN/f8I7G/7JUkHAt+mqjYH1YkW76CqIvcnST+wfaqkz7RX5U7SIWX+d9p+VtKm7S1Q0lhgLMCmmw1qr0tEREREv5aMcO8YQ1Vsg/J7TBf9hwFXS5oLnAvs1HDvN7aftv08cD+wbRdjHQj81PazAKVK3wpsj7dds10bMnSDLoaMiIiI6H+SEV7LJG0GvAfYWZKBdQEDN3fy2DeA22wfKWk4MLnh3tKG18vo+m+qMl9ERERES0tGeO07CrjU9ra2h9vehqpU88vA0A6eGQY8Wl4f1815XpS0fjvtk4BPSNoQoKOtEREREREDXQLhtW8M8KumtmuovjT3UvkC2+ea7n8HOEPSFKoMcneMB2a3fVmuje0JwPVAXdJM4OSevoGIiIiIgUB2/pU8Oler1Vyv13t7GRERERFdkjTddq07fZMRjoiIiIiWlEA4IiIiIlpSTo2ILj2xYB7nX35wby8jis8cO7G3lxARETEgJCMcERERES2p3wXCkr4s6T5Js0sJ4Xeu5DgHSNq74foSSUd147klXfVp6DtO0kqdytDes5IekrR5F8+dXqrPRUREREQn+tXWCEl7AYcBu9teWoLClS17dgCwBLhrNS2vT7D9td5eQ0RERER/0N8ywlsC820vBbA93/ZjAJLeK2mGpDmSLpb0mtL+ShZVUk3S5FKd7QTgcyWrvF8Zf39Jd0n6S3eyw20kfVDSPWX+/5L0+nb6HC/pFkmDJb1F0gRJ0yXdIWmHnnwIkoZL+oOki0p2fJKkweXeK5ntLj6T0yTdW+71aP6IiIiIgaC/BcKTgG0kPSDpAknvBpA0CLgEGG17F6pM96c6GsT2Q8CPgXNtj7B9R7m1JbAvVdb5zB6s607gXbbfAVwJnNJ4U9JngA8CR9h+jqrYxWdtj6QqaHFBD+Zqsz3wQ9s7AQuBDzXN2dVnMt/27sCPaKeohqSxkuqS6ksWvbASy4uIiIjo2/pVIGx7CTASGAs8CVwl6TjgbcCDth8oXX8G7L8SU1xn+2Xb9wMrZHU78QZgoqQ5wBeAnRrufRQ4BPhQ2c4xBNgbuLpUdruQKgBv1lGlk7b2B23PLK+nA8Ob+nX1mVzbybPYHm+7Zrs2ZOOV3X0SERER0Xf1qz3CALaXAZOBySXw/Bgws5NHXmJ5wD+oi+GXNrxWD5b1A+Ac29dLOgAY13BvLjCCKlh+sKxloe0RXYz5N1YMkIdSZX+HNq11GTC4qW9X6297fhn98L+DiIiIiFXVrzLCkt4mafuGphHAX4E/AsMlbVfaPwr8rrx+iCqLDK/ePrCYKqBcHYYBj5bXH2u6NwP4Z+B6SVvZXgQ8KOloAFV2a2fM24G/lzS09PsHYFb5H4Hu6OwziYiIiGh5/SoQBoYAP5N0v6TZwI7AONvPAx+n2m4wB3iZag8wwGnA9yXdQZX9bHMDcGTTl+W6Y0NJjzT8fJ4qA3x1mWN+8wO276Tah3tT+eLescAnJc0C7gMOb+eZ2cD5wJ1lC8UJwP/X3UV28ZlEREREtDzZHW1FjajUajXX6/XeXkZERERElyRNt13rTt/+lhGOiIiIiFgt8iWp6NL/LZjHub84uLeXMeB97sMTe3sJERERLSUZ4YiIiIhoSckIr0GSlgFzqD7nB4GP2l7Yu6uKiIiICEhGeE17rlSu2xlYAHy6txcUEREREZUEwmvPVGBrAElDJP1G0r2S5kg6vLSfJen/tT0gaZykfy2vvyBpmqTZkk4rbcMl/UHSRZLukzRJ0uByb3IZ7/elJPV+Dc/cUea+V9Lea/lziIiIiOgTEgivBZLWBd4LXF+angeOtL07MAr4niQBVwKjGx79R6pzgA8Ctgf2pCoiMlJSW7nk7YEf2t6JqupcY9GQ9WzvCZwEfL20PQG8r8w9GjivgzWPlVSXVH9m8Qur8O4jIiIi+qbsEV6zBpdiGMOB6cCtpV3At0sw+zJVpvj1tmdI2kLSVsDrgKds/4+kE4GDqKrUQVVYZHvgf4AHbbeVmJ5e5mpzbTvt6wPnSxpBVWDkre0t3PZ4YDzANm8elsOmIyIiYsBJILxmPWd7hKRhwI1Ue4TPo6os9zpgpO0XJT0EDCrP/BI4Cvg7qgwxVIHzGbYvbBxc0nBgaUPTMmBww/XShva2v/XngP8DdqP6F4HnV+kdRkRERPRT2RqxFth+GjgROFnS+sAw4IkSBI8Ctm3ofiVwDFUw/MvSNhH4hKQhAJK2lrTFSi5nGPC47ZeBjwLrruQ4EREREf1aMsJrSdn2MIsqyL0cuEFSHZgJ/LGh332ShgKP2n68tE2S9HZgarWVmCXAR6gyvT11AXCNpKOB24BnVuFtRURERPRbsrP9MzpXq9Vcr9d7exkRERERXZI03XatO32zNSIiIiIiWlK2RkSX/nfBPL5z5cG9vYwB6ZRjJvb2EiIiIlpWMsIRERER0ZJaMhCWZEnfa7g+WdK4Ho5xQGNVNkmXSDqqm88eWdawQyd9uj1e6b+VpF923XOF55b09JmIiIiIgaAlA2Gq83X/QdLmK/OwpPWAA4CVLU88BriT6gSJ1cL2Y7ZXCJzLWiMiIiKiSasGwi9RVU37XPMNSdtK+o2k2eX3G0v7JZLOkXQbcBVwAvA5STMl7Vce31/SXZL+0lE2t5wFvA/wSRoCYVXOl3S/pJuALRruPSTp25KmlrLHu0uaKOnPkk4ofYZLmlteHyfpakk3AJMkDSnv5V5JcyQdvsqfYEREREQ/16qBMMAPgWNL1bdG5wOX2t6V6rzf8xruvRU40PaHgB8D59oeYfuOcn9LYF/gMODMDuY9Aphg+wFggaTdS/uRwNuAXYDjWTHb/LDtvYA7gEuoCm68Czi9g3n2Aj5m+z1U1eOOtL07MAr4nsqBxB2RNLYE3fVnFr/QWdeIiIiIfqllA2Hbi4BLqSq+NdoL+EV5fRlVYNvmatudFbG4zvbLtu8HXt9BnzEsL518ZbkG2B+4wvYy248Bv2167vryew5wj+3Ftp8Enpe0STvz3Gp7QXkt4NuSZgP/BWzdyfoAsD3eds12baOhG3TWNSIiIqJfavX9o/8O3Av8tJM+jRVHuqrCtrTh9QoZV0mbAe8BdpZkqvLGlnRKO3N1NPbLTfO8TPt/x8a1Hgu8DhhZyjo/BAzqZK6IiIiIAa9lM8IAJWP6n1T7ddvcxfK9u8dSfamtPYuBoT2c8iiqbRfb2h5uexvgQaqs8+3AMZLWlbQl1RaG1WUY8EQJgkcB267GsSMiIiL6pZYOhIvvAY2nR5wIfLxsI/go8C8dPHcDcGTTl+W6Mgb4VVPbNcCHS/s8qq0PPwJ+180xu+NyoCapThXc/3E1jh0RERHRL8nu7F/jI6BWq7ler/f2MiIiIiK6JGm67Vp3+iYjHBEREREtKYFwRERERLSkVj81Irrh8afm8Y2rDu7tZQw4Xx09sbeXEBER0dKSEY6IiIiIlpRAeA2QdK6kkxquJ0r6ScP19yR9vodjniRpw4brhyRt3sUzS3oyR0REREQrSSC8ZtxFKZEsaR2q49l2ari/NzClh2OeBGzYZa+IiIiI6JYEwmvGFEogTBUAzwUWS3qtpNcAbwdmSPqCpGmSZks6DUDSRpJukjRL0lxJoyWdCGwF3CbptubJJF0nabqk+ySNbef+5pKmSvpAuV5h3oiIiIhWky/LrQG2H5P0kqQ3UgXEU4Gtgb2Ap4HZwAHA9sCeVOWYr5e0P1Up5MdstwWtw2w/XbZSjLI9v50pP2F7gaTBwDRJ19j+W3n+9cD1wFds3yrpoPbmtX1744AloB4LMGzzVGOOiIiIgScZ4TWnLSvcFghPbbi+Czio/MwA7gV2oApQ5wAHSjpL0n62n+7GXCdKmgXcDWxTxgFYH/gNcIrtW0tbR/O+iu3xtmu2axttvEFP33tEREREn5eM8JrTtk94F6qtEQ8D/wosAi6mygifYfvC5gcljQQOBc6QNMn26R1NIukA4EBgL9vPSpoMtKVwXwKmAwezvGSzOpo3IiIiopUkI7zmTAEOAxbYXmZ7AbAJ1faIqcBE4BOShgBI2lrSFpK2Ap61/XPgu8DuZbzFwNB25hkGPFWC4B2AdzXcM/AJYAdJp5a2duddfW87IiIion9IRnjNmUN1WsQvmtqGlH2+kyS9HZgqCWAJ8BFgO+BsSS8DLwKfKs+OB26R9LjtUQ1jTgBOkDQb+BPV9ohX2F4m6RjgBkmLbF/QwbxPrMb3HhEREdHnyXZvryH6uFqt5nq93tvLiIiIiOiSpOm2a93pm60REREREdGSsjUiuvToU/P48tXv7+1lDBjfOnpCby8hIiIiSEY4IiIiIlpUAuG1QNIySTMbfk7t+qkVxjhA0t4N1+MkndzFM5dIOmpl1hwREREx0GVrxNrxnO0RqzjGAVQnPNy16suJiIiIiGSEe5Gkr0maJmmupPEq55lJOlHS/ZJmS7pS0nDgBOBzJaO8X9M4x5dxZkm6RtKG7cz1jZIhXkfSSEm/kzRd0kRJW66N9xsRERHRlyQQXjsGN22NGF3az7e9h+2dgcFUBTgATgXeYXtX4ATbDwE/Bs61PcL2HU3jX1vG2Q34A/DJxpuSvgNsAXwcWBf4AXCU7ZFUVe6+1bxgSWMl1SXVn130wmr4CCIiIiL6lmyNWDs62hoxStIpwIbApsB9wA3AbOBySdcB13Vj/J0lfZOqct0Qqupxbb4K3GN7LICktwE7A7eWBPS6wOPNA9oeT1XEgy3fMiyHTUdERMSAk0C4l0gaBFwA1Gw/LGkcMKjc/gCwP/D3wFcl7dTFcJcAR9ieJek4qv3EbaYBIyVtWso8C7jP9l6r671ERERE9EfZGtF72oLe+ZKGAEcBSFoH2Mb2bcApLM/yLgaGdjDWUOBxSesDxzbdmwCcCdwkaShVGebXSdqrzLd+NwLtiIiIiAEnGeG1Y7CkmQ3XE2yfKukiYA7wEFXmFqqtCj+XNIwqe3uu7YWSbgB+Kelw4LNN438VuAf4axnvVQGz7atLEHw9cChV0H1emWM94N+ptmVEREREtAzZ2f4ZnavVaq7X6729jIiIiIguSZpuu9advtkaEREREREtKVsjoksPPzWPz1/z/t5exoBwzocm9PYSIiIiokhGOCIiIiJaUgLhAULSkZIsaYdyPVzS3PL6OEnnt/PMCZL+aW2vNSIiIqIvSCA8cIwB7gSO6e4Dtn9s+9I1t6SIiIiIviuB8ABQziHeh6q0cqeBsKQPSJoqaXNJ4ySdvFYWGREREdHHJBAeGI6gOpv4AWCBpN3b6yTpSOBU4FDb8zsbUNJYSXVJ9ecWvbD6VxwRERHRyxIIDwxjgCvL6yvLdbNRwL8BH7D9VFcD2h5vu2a7NnjjDVbfSiMiIiL6iByf1s9J2gx4D7CzJFNVpjNwQVPXvwBvBt4KpDpGREREtLxkhPu/o4BLbW9re7jtbYAHgTc09fsr8A/ApZJ2WtuLjIiIiOhrEgj3f2OAXzW1XQN8qbmj7T8BxwJXS3rLWlhbRERERJ8l2729hujjarWa6/XspoiIiIi+T9J027Xu9E1GOCIiIiJaUgLhiIiIiGhJOTUiuvTXhfMY+6v39/Yy+rXxR07o7SVEREREk2SEIyIiIqIlJRBuIsmSLmu4Xk/Sk5JuXANzHSdpqw7uXSLpQUkzJf1R0te7Md5kSd3aHB4RERHR6hIIr+gZquIUg8v1+4BH19BcxwHtBsLFF2yPAEYAH5P0pjW0DiStu6bGjoiIiOiLEgi37xbgA+X1GOCKthuSNpV0naTZku6WtGtpHyfp5IZ+cyUNLz9/kHSRpPskTZI0WNJRQA24vGR9B9OxQeX3M2Xsr0maVuYYL0mNnSWtI+lnkr5Zrg+SNFXSvZKuljSktD9UxroTOHpVPrCIiIiI/iaBcPuuBI6RNAjYFbin4d5pwAzbu1IVrbi0G+NtD/zQ9k7AQuBDtn9JVer4WNsjbD/XznNnS5oJPAJcafuJ0n6+7T1s7wwMBg5reGY94HLgAdtfkbQ58BXgQNu7lzk/39D/edv72r6ycWJJYyXVJdWfX/RCN95iRERERP+SQLgdtmcDw6mywTc33d4XuKz0+y2wmaRhXQz5oO2Z5fX0MnZ3tG2N+DvgvZL2Lu2jJN0jaQ7wHqCxZPKFwFzb3yrX7wJ2BKaUoPpjwLYN/a9qb2Lb423XbNcGbbxBN5cbERER0X/k+LSOXQ98FzgA2KyhXe30NfASr/4fi0ENr5c2vF5GlcXtNttLJE0G9pV0L3ABULP9sKRxTXPdRRUof8/282W9t9oe08Hwz/RkLREREREDRTLCHbsYON32nKb224FjASQdAMy3vQh4CNi9tO8OdOeLbYuBoV11krQe8E7gzywPeueXvb5HNXX/D6os9tXlubuBfSRtV8baUNJbu7G2iIiIiAEtgXAHbD9i+/vt3BoH1CTNBs6k2moAcA2wadl+8CnggW5Mcwnw406+LNe2R3g2MAe41vZC4KJyfR0wrZ21nwPcS7WF429Up1NcUdZ8N7BDN9YWERERMaDJdm+vIfq4Wq3mer3e28uIiIiI6JKk6ba7VVchGeGIiIiIaEn5slx06c8L53HUr9/f28vod355+ITeXkJERER0IhnhiIiIiGhJCYT7GElL1tC4kyWtsF9GUk3SeWtizoiIiIi+LFsjWpztOlW1uYiIiIiWkoxwPyDpdZKukTSt/OxT2t9djl6bKWmGpKGl/RRJcyTNknRmw1BHS/q9pAck7Vf6HiDpxl54WxERERG9Khnh/uH7wLm275T0RmAi8HbgZODTtqeU4hrPSzoEOAJ4p+1nJW3aMM56tveUdCjwdeDAjiaUNBYYCzD4dYM66hYRERHRbyUQ7h8OBHaUXqnuvHHJ/k4BzpF0OVWxjUckHQj81PazALYXNIxzbfk9HRje2YS2xwPjAV673bAcNh0REREDTgLh/mEdYC/bzzW1nynpJuBQ4O4SBAvoKHBdWn4vI3/7iIiIaHHZI9w/TAI+03YhaUT5/Rbbc2yfRfWFtx1K309I2rD02bSd8SIiIiJaXrKCfc+Gkh5puD4HOBH4oaTZVH+z24ETgJMkjaLK8N4P3GJ7aQmU65JeAG4GvrRW30FEREREPyA72z+jc7VazfV6TliLiIiIvk/SdNsr1E5oT7ZGRERERERLytaI6NK8hX/hkF+P7u1l9Gm3HH5Vby8hIiIieigZ4YiIiIhoSS0dCEtasgbHHifp5O60S3pI0uZdjHezpE266DNZ0gp7YiSNKEU0IiIiIqJo6UC4P7F9qO2FK/n4CKqzhiMiIiKiSCDcRNK2kn4jaXb5/UZJQyU9KGn90mfjksVdX9LxkqZJmiXpmrbze1dh/o9I+r2kmZIulLRuaX8layzpq5L+KOlWSVc0ZZiPLs8/IGk/SRsApwOjy5ijJb27vJ4paUapUhcRERHRUhIIr+h84FLbuwKXA+fZXgxMBj5Q+hwDXGP7RarSxnvY3g34A/DJbszxuYZAdCawFYCktwOjgX1sj6A6H/jYxgfL1ocPAe8A/gFo3gqxnu09gZOAr9t+AfgacJXtEbavAk4GPl3m2A9orliHpLGS6pLqLyxa2nw7IiIiot9LILyivYBflNeXAfuW1z8BPl5efxz4aXm9s6Q7JM2hClp36sYc55agdEQJRh8r7e8FRgLTSoD8XuDNTc/uC/za9nMlQL+h6f615fd0YHgH808BzpF0IrCJ7ZeaO9geb7tmu7bBxq/pxluKiIiI6F9yfFrXDGB7iqThkt4NrGt7brl/CXCE7VmSjgMOWIW5BPzM9he76NOZtvTtMjr4+9o+U9JNVPuG75Z0oO0/9ni1EREREf1YMsIruotq6wNUGd47G+5dClzB8mwwwFDg8bJ/+FXbGFbCb4CjJG0BIGlTSds29bkT+KCkQZKGsHy7RmcWl3VSxn2L7Tm2zwLqwA6ruO6IiIiIfqfVA+ENJT3S8PN54ETg45JmAx8F/qWh/+XAa6mC4TZfBe4BbgVWKatq+37gK8CkMv+twJZNfaYB1wOzqLZB1IGnuxj6NmDHti/LASdJmitpFtX+4FtWZd0RERER/ZFs9/Ya+g1JRwGH2/5oL69jiO0l5YSK24Gxtu9dU/PVajXX6/U1NXxERETEaiNpuu0V6iq0J3uEu0nSD4BD6Bvn8Y6XtCMwiGpP8RoLgiMiIiIGqgTC3WT7s729hja2AguA1AAAIABJREFUP9zba4iIiIjo7xIIR5fmLfwrh/z6hN5eRp9zy+E/7u0lRERExCpo9S/LRURERESLGrCBsCRLuqzhej1JT0q6sVz/vaRTO3h2SQft4yQ9Wk5f+KOkH0nqM5+hpOMknd/UNrlUo0PSzZI2Ka+XlN/DJc1dcbSIiIiIga3PBHFrwDNUVd8Gl+v3AY+23bR9ve0zV2Lcc0s1uB2BXYB3r/JK1xLbh9pe2NvriIiIiOgLBnIgDNX5uG0FJ8bQcP5vY/ZU0pskTZU0TdI3ujn2BlSnNjxVxniLpAmSppeSyzuU9g9KukfSDEn/Jen1pX2IpJ9KmiNptqQPlfYxpW2upLMa1rtE0rckzZJ0d9s4PSHpIUmb9/S5iIiIiIFooAfCVwLHSBoE7EpV+KI93wd+ZHsP4H+7GPNzkmYCjwMP2J5Z2scDn7U9EjgZuKC03wm8y/Y7ynpOKe1fBZ62vYvtXYHfStoKOAt4DzAC2EPSEaX/RsDdtnejOjv4+A7WN7ps3ZhZ1tmtc/SaSRorqS6p/sKi51dmiIiIiIg+bUAHwrZnA8OpssE3d9J1H5Zniy/rpB8s3xqxBbCRpGNKqeO9gatL8HkhyyvCvQGYKGkO8AVgp9J+IPDDhrU+BewBTLb9pO2XqCrZ7V+6vADcWF5PL++rPVfZHtH2Q1V5rsdsj7dds13bYONBKzNERERERJ82oAPh4nrgu7y6LHJ7ViixV7YitGVWX93ZfhGYQBWorgMsbAxAbb+9dP0BcL7tXYB/ptpOAaB25lQn63vRy8sALiNH30VERESsklYIhC8GTrc9p5M+U4Bjyutj2xptf7khs/oqkkSVBf6z7UXAg5KObrsnabfSdRjLv6T3sYYhJgGfaRjvtVRbN94taXNJ61Jlsn/X/bcaEREREd014ANh24/Y/n4X3f4F+LSkaVSBa2fa9gjPpcrKtu0FPhb4pKRZwH3A4aV9HNWWiTuA+Q3jfBN4bflS3CxglO3HgS8CtwGzgHtt/7o77zMiIiIiekbL/7U9on21Ws31+kptNY6IiIhYqyRNt92twwIGfEY4IiIiIqI9+cJVdGnewkc49Lp/7e1l9Dk3H/G93l5CRERErIJkhCMiIiKiJSUQXk0kLStHrc2VdIOkTXp7Te2RNFlSrbz+Um+vJyIiIqK3JBBefZ4rR63tDCwAPt3bC+qGBMIRERHRshIIrxlTga3hlTOFzy6Z4jmSRnfRvqWk2xuyy/uV9oMkTZV0r6SrJQ2RdIik/2ybVNIBkm7oqH/jAiWdCQwu81y+dj6WiIiIiL4jgfBqVgphvJeqoh3APwAjgN2oyiqfLWnLTto/DEwsRTx2A2ZK2hz4CnCg7d2pyiZ/HrgVeJekjcpco4GrOun/CtunsjyLfSxNJI2VVJdUf2HRs6vls4mIiIjoS3JqxOozuBTaGA5MpwpSAfYFrrC9DPg/Sb8D9uikfRpwsaT1getsz5T0bmBHYEpV0I4NgKm2X5I0AfigpF8CHwBOAdrt35M3Y3s8MB5g2HZ/l8OmIyIiYsBJILz6PGd7hKRhwI1Ue4TPA9RB/3bbbd8uaX+qoPYySWcDTwG32h7TziNXlbkWANNsLy7lnzvqHxERERFka8RqZ/tp4ETg5JLVvR0YLWldSa8D9gd+31G7pG2BJ2xfBPwHsDtwN7CPpO0AJG0o6a1lysmlz/FUQTFd9G/0YlljRERERMtJILwG2J4BzAKOAX4FzC7XvwVOsf2/nbQfQLUveAbwIeD7tp8EjgOukDSbKtDdocy1jCoDfUj5TWf9m4wHZufLchEREdGKZGf7Z3SuVqu5Xq/39jIiIiIiuiRpuu1ad/omIxwRERERLSmBcERERES0pJwaEV2at/BRDr3uK729jD7l5iO+2dtLiIiIiFWUjHA7JH1Z0n2SZpfKa+/spXVMlrTCHpfS/idJsyRNkfS2Ho57iaSjVt9KIyIiIvqfZISbSNoLOAzY3fbSUqVtg7Uw73q2X+rBI8farksaC5wN/H1351mpBUZEREQMMMkIr2hLYL7tpQC259t+DEDSSEm/kzRd0kRJW0raQtL0cn83SZb0xnL953KG7wcl3SNphqT/kvT6cn+cpPGSJgGXShos6cqSib4KGNyN9d4OtJ0X/DVJ0yTNLeOqtE+W9O1Sve5fGh+W9I2SIc5/CxEREdFSEvysaBKwjaQHJF1QyhtTCk/8ADjK9kjgYuBbtp8ABknaGNgPqAP7NRTGeBa4E3iX7XcAV1KVQW4zEjjc9oeBTwHP2t4V+Fa515UPAnPK6/Nt72F7Z6og+rCGfpvYfrft77U1SPoOsAXwcdsvNw4qaaykuqT6C4ue7cYyIiIiIvqX/DN5E9tLJI2kCmpHAVdJOpUqwN0ZuLUkWtcFHi+P3QXsQ1Ud7tvA+6lKKN9R7r+hjLMl1TaLBxumvN72c+X1/lRlmbE9uxTD6Mjlkp4DHgI+W9pGSToF2BDYFLgPuKHcu6rp+a8C99ge28HnMJ6q4AbDttsyh01HRETEgJNAuB2lWttkYLKkOcDHgOnAfbb3aueRO6gC522BXwP/BphS6Y0qk3yO7eslHQCMa3j2mebpu7nMY22/UuVC0iDgAqBm+2FJ44BBncwzDRgpaVPbC7o5Z0RERMSAka0RTSS9TdL2DU0jgL8CfwJeV75Mh6T1Je1U+twOfASYV7YYLAAOBaaU+8OAR8vrj3Uy/e3AsWX8nYFde7D0tqB3vqQhQFenQkwAzgRukjS0B/NEREREDAjJCK9oCPADSZsALwH/DYy1/UI5cuw8ScOoPrt/p8oSP1S2S9xexrgTeIPtp8r1OOBqSY8CdwNv6mDuHwE/LVsiZgK/7+6ibS+UdBHVfuGHqDK+XT1zdQmCr5d0aMMWjYiIiIgBT3a2f0bnarWa6/V61x0jIiIiepmk6bZXqMPQnmyNiIiIiIiWlEA4IiIiIlpS9ghHl+YtfJxDf3V6by+jz7j5yK/19hIiIiJiNUhGOCIiIiJaUgLhDkhashrHGiHp0NU43kOS5kiaJWmSpL/r4fOTJXVrE3lERETEQJVAeO0YQXWu8Oo0yvZuVBXvvtTdhyStu5rXEREREdEvJRDuAUkflHSPpBmS/kvS60v7HEmbqPI3Sf9U2i+TdBBwOjBa0kxJoyVtKuk6SbMl3S1p19J/nKSLS8b2L5JO7Maybge2K8//SFJd0n2STmtY90OSvibpTuDohvZ1JP1M0jdX24cUERER0U8kEO6ZO4F32X4HcCVwSmmfAuwD7AT8harcMsC7gLuArwFX2R5h+yrgNGCG7V2psrmXNsyxA3AwsCfwdUnrd7Gmw6iKaAB8uZybtyvw7rYAu3je9r62ryzX6wGXAw/Y/krzoJLGlqC6/sKi5urMEREREf1fAuGeeQMwUdIc4AtUgS/AHcD+5edHwC6StgYW2G5vr/G+wGUAtn8LbFaq1QHcZHup7fnAE8DrO1jLbZJmAhsDZ5S2f5R0LzCjrG3Hhv5XNT1/ITDX9rfaG9z2eNs127UNNt6ogyVERERE9F8JhHvmB8D5tncB/hkYVNpvp8oC7wdMBp4EjqIKkNujdtraSvwtbWhbRsdH3I0qGeZ/KuWV3wScDLy3ZJpvalgfQHNa9y5glKRBRERERLSgBMI9Mwx4tLz+WFuj7YeBzYHtbf+FagvFySwPhBcDQxvGuR04FkDSAcB824tWcW0bUwW7T5e9y4d00f8/gJuBqyXlPOmIiIhoOQmEO7ahpEcafj4PjKMKHO8A5jf1vwd4oLy+A9iaKiAGuA3Yse3LcmWcmqTZwJk0BNUry/Ysqi0R9wEXU+1b7uqZc4B7gcsk5b+FiIiIaCmy3XWvaGm1Ws31er23lxERERHRJUnTy+EBXUoWMCIiIiJaUvaGRpfmLfxfDv3Vmb29jD7j5iNP7e0lRERExGqQjHBEREREtKQEwmuIJEu6rOF6PUlPSrpxJcfbRNL/a7geLmluF88csLLzRURERAx0CYTXnGeAnSUNLtfvY/nRaytjE+D/ddkrIiIiIrolgfCadQvwgfJ6DHBF2w1Jm0q6TtJsSXe3lUOWNE7SxZImS/qLpBPLI2cCbylHsJ3dOEnJDt8h6d7ys3fzQiTtIWmGpDdL2qjMMa20Hb5G3n1EREREH5ZAeM26EjimVG/bleqs4TanATNKFbgvAZc23NsBOBjYE/i6pPWBU4E/l2pyX2ia5wngfbZ3B0YD5zXeLIHxj4HDS8GPLwO/tb0HMAo4W/r/2bvzcDur+uzj35sIJBAIKsgLKqbMYoAAGzSAGBSorShDYtGXlxJBo1RAsUhtsYpSRxwKImKkGFAETBjKoASUBMIYTgaSQAGRYItQBgmEMAQI9/vHsw7ZbM6wz8lwhn1/rutc59nrWdOzwx8/1lnP+mn9hjYTJbVJantxSWNSuoiIiIiBL6dGrEa250saSbUa/JuG23sD40q96yW9WdKIcu9q28uAZZIeAzbtZqi1gTMljaZKy7xt3b13ApOAA2w/XMoOAD4i6cTyeSiwBfBfdXOfVNoxYuu35bDpiIiIGHQSCK9+VwDfA8YCb64rVwd12wPOZXVly+n+3+kE4FFgZ6pV/hfq7j1CFejuArQHwgLG2b63++lHREREDE7ZGrH6nQt83faChvIbgcOhOt0BeML2ki76eQbYoJN7I4BHbL8CHAEMqbv3FNU+5W+WcQCmAcdJUhl/l6afJiIiImKQSCC8mtl+yPbpHdw6BahJmk/1ItyR3fTzF+BmSQsbX5YDzgKOlHQb1baIZxvaPgp8GPixpHcDp1Jtp5hfjmA7tedPFhERETGwyc72z+harVZzW1tbX08jIiIioluSZtuuNVM3K8IRERER0ZISCEdERERES8qpEdGtPzz1KB+69Pt9PY3V6upD/7GvpxARERFr2BpfEZa0tIk6n5e03hqYy0hJ/7fuc03SGV216eU4D0rauJPyBeXnbkn/Jmndcm9zSVO76HMjSV2mXJZ0Szf3J0javNnniIiIiBhM+uvWiM8DPQqEJQ3pvtbrjAReDYRtt9k+vvPqq8W+tnekyiK3JSWJhe2HbY/vot1GQIeBcPt3Yft1qZYbTAASCEdERERL6rNAWNJYSTMkTZV0j6QLVDmeKjibLml6qXuApFslzZE0RdLwUv6gpK9Iugn4aOnvO5JmSbpP0ntLvZGSZpb2c0rKYaiOLXuvpHmSTihzuqq0eZOkyyXNl3SbpJ1K+SmSzi1jPVDm2/5Ml0uaLekuSRN78n3YXgp8Bji4jD2yHG2GpHeVZ5pX5rNNmftWpey0Mvfpkn4FLCjtXl19l3RSWXm+U9K3JY0HasAFpY9hPfsXjIiIiBjY+nqP8C7Au6gynt0M7GX7DElfoFopfaJsKfgysJ/tZyX9E/AF4Ouljxds7w0g6TPAG2zvIelvga8C+wGPAfvbfqEEkRdSBYFfAk60fWBpP7Zubl8D5to+WNL7gfOB0eXe9sC+VAku7pX0E9svAUfZfrIElXdIuqSc/9sU20skLQK2ocoU1+4zwOm2L5C0DlXCjC8Bo2yPrpv7HqVsUX2/kv4GOBh4t+3nJL2pzPPY8vw5Gy0iIiJaTl8HwrNsPwQgaR7VVoWbGuq8B9iBKpkEwDrArXX3L26of2n5Pbv0B1XyiDMljaZKWbxtE3PbGxgHYPt6SW+WNKLcu9r2MmCZpMeATYGHgOMlHVLqvJ0qoG06EC46Sr18K3CypLcBl9r+Q/kuGs1qDIKL/YCf236uPM+T3U6iWtGeCDB04zc2O/eIiIiIAaOvA+FlddfL6Xg+Aq6z/fFO+ni24XN7n/X9nUC1wroz1XaQF5qYW0eRZnv2kdfNu6zI7geMKauuM4ChTYyzYkBpA6rg/T6qtMnVoPavJN1OlSp5mqRPAg900EXjd/Fq13Vzb4rtSZT9yiO2fnuyrkRERMSg019flnuGatsBwG3AXpK2BpC0nqRmVnTrjQAesf0KcATV1oLGcRrdCBxexhwLPGF7STdjLC5B8PZUK9lNK/uezwIut7244d6WwAO2zwCuAHbqZu6NrgWOUjmJQ9KbSnlP+oiIiIgYVPprIDwJ+K2k6bYfpzrd4EJJ86kC4+172N9ZwJGSbqPaFtG+cjofeLm8QHZCQ5tTgFoZ89vAkd2McQ3VyvB84NQyz2ZMLy/FzQL+G/h0B3UOAxaW7SPbA+eXvcc3S1oo6bSuBrB9DVUA3Vb6OLHcmgycnZflIiIiohXJzl+9o2u1Ws1tbXmfLiIiIvo/SbNt15qp219XhCMiIiIiVqsEwhERERHRkvr61IgYAP7w1GN86NLT+3oaq83Vh36ur6cQERERfSArwhERERHRkgZFICzph5I+X/d5mqRz6j5/X9IX6lMod9DHOZJ2KNf/Ule+kaR/qPu8uaSpKznfB0vGvPbPnc6rrk5N0hnd1Hk1LXMH9yZI2rx3M46IiIgYfAZFIAzcAuwJIGktYGOq1M3t9qRK4dwp25+0fXf5+C91tzYC/qGu3sO2xzc7MUlDuq/VPdttto9fiS4mAAmEIyIiIorBEgjfTAmEqQLghcAzkt4oaV3gncDccn+4pKmS7pF0gUquYkkzyqrrt4Fh5WzdC6jOEN6qfD6tftVV0pBSdoek+ZI+XcrHSpou6VfAgp48iKT1JZ1b+pwr6aC6Pq8q15tIuk7SHEk/lfSnuhXmIZJ+JukuSddKGiZpPFADLmg/M1jStyXdXeb9vd586RERERED2aB4Wc72w5JelrQFVUB8K/BWYAzwNDDf9osl5t2FKlh+mCqA3gu4qa6vL0k61vZoqLYbAKMaPrc7Gnja9u4l4L5Z0rXl3h6l3aJOpj1d0vJyPRy4p1yfDFxv+yhJGwGzJP2uoe1XS51vSfogMLHu3jbAx21/StKvgXG2fynpWOBE220ls9whwPa2XcZ5DUkT2/sduvEbO3mEiIiIiIFrsKwIw4pV4fZA+Na6z7fU1Ztl+6GSbnkeMHIlxjwA+PuSre124M1UgWj7OJ0FwQD72h5dAuxPNvT5pdLnDGAosEVD272Bi+DVrHH1KZkX2Z5XrmfT8fMtAV4AzpF0KPBcYwXbk2zXbNfWGTG8i8eIiIiIGJgGxYpw0b5PeEeqrRH/A/wjVdB3bl29ZXXXy1m570DAcbanvaZQGsuKNM696XOc7Xsb+ty0oU5nGp/vdamTbb8saQ/gA8DHgGOB9/dyvhERERED0mBbET4QeNL2cttPUr3oNoZqdbgnXpK0drl+Btigk3rTgGPa60raVtL6PZ/66/o8rm7v8i4d1LkJ+Lty/wCgmb0Lrz6HpOHACNu/AT4PjF7JOUdEREQMOIMpEF5AdVrEbQ1lT9t+ood9TQLmS7rA9l+o9v4ulHRaQ71zgLuBOeUFup+y8qvspwJrl/EXls+NvgYcIGkO8DfAI1SBblcmA2eXLRcbAFdJmg/cAJywknOOiIiIGHBku6/nED1UXsxbXrY4jAF+0v4y3+pQq9Xc1ta2urqPiIiIWGUkzbZda6buYNoj3Eq2AH5dzkx+EfhUH88nIiIiYsBJIDwA2f4D1TFwa8QfnnqMD1364zU13Bp39aGf7espRERERB8YTHuEIyIiIiKaNqgDYUnLSya1hZKmSFqvlN/SXds1QdJ6JbvdgjLHm8qJDhERERGxmg3qQBh4viStGEW1l/YzALb37LrZ6iGpcSvK54BHbe9Y5ng08NJqHH/I6uo7IiIiYqAZ7IFwvZnA1gCSlpbfknRaWY1dIOmwUj5W0gxJUyXdU1Zt28/13U3SDZJmS5omabNSvpWka0r5TEnbl/LJkn4gaTrwnYY5bQb8uf2D7XttLyvtTpZ0r6TfSbpQ0omlfIakWrneWNKD5XpkGXdO+dmz7lmmS/oV1XFySPp/kmaV1fKfJkCOiIiIVtQSL8uVldi/Aa5puHUoVTKJnanOIL5D0o3l3i7Au4CHqZJ17CXpduBHwEG2Hy+B8zeAo6jOHv6M7T9IejdwFiuytW0L7Gd7ecP45wLXShoP/B44r7TfjSrj2y5U/0ZzqNIld+UxYH/bL0jaBrgQaD86ZA9glO1Fkt4JHAbsZfslSWcBhwPnN3xnE4GJAEM3biZfR0RERMTAMtgD4WElgQRUK8L/0XB/b+DCEqA+KukGYHeqtMyzbD8EUPoYCTwFjAKuKwvEQ4BHyr7ePYEppRxg3bpxpnQQBGN7nqQtgQOA/agC8THAe4HLbD9Xxr+iiWddGzhT0miq1Mrb1t2bZXtRuf4AsFsZC6oUzI91MLdJVME9I7beIodNR0RExKAz2APh57tJNKEu7i2ru15O9V0JuMv2mNd0Im0IPNXFWM92NojtpcClwKWSXgH+tozXWfD5Miu2tAytKz8BeJRqdXst4IVOxhfVyvM/dzaniIiIiFbQSnuEO3IjcJikIZI2AfYBZnVR/15gk7Jqi6S1Jb3L9hJgkaSPlnJJ2rm7wSXtJemN5XodYAfgT2Veh0gaJmkD4MN1zR6kWtEFGF9XPgJ4xPYrwBFUq9Ud+T0wXtJbyrhvkvSO7uYaERERMdi0eiB8GTAfuBO4HjjJ9v92Vtn2i1TB53ck3QnMo9oSAdU+26NL+V3AQU2MvxVwg6QFwFygDbjE9hzg4tL/JVTbOtp9DzimHAG3cV35WcCRkm6j2hbR4Sq07buBL1PtTZ4PXEf10l5ERERES5Gd7Z/9naRTgKW2v9cX49dqNbe1tfXF0BERERE9Imm27Vr3NbMiHBEREREtarC/LDco2D6lr+cQERERMdgkEI5u/WHx43zokp/29TRWi6vHfbqvpxARERF9JFsjIiIiIqIlJRBezSRtKulXkh4o6ZdvlXRIX88rIiIiotUlEF6NVKVuuxy40faWtttTJ7+tb2cWEREREQmEV6/3Ay/aPru9wPafbP+oJPE4TdIdkuZL+jSApLGSZkiaKukeSReUgBpJu0m6oawsT5O0WSk/XtLdpZ+LStn6ks4t/c+VdFAp73DciIiIiFaTl+VWr3cBczq5dzTwtO3dJa0L3Czp2nJvl9L2YeBmYC9JtwM/Ag6y/bikw4BvAEcBXwL+yvYySRuVPk4Grrd9VCmbJel3VIk/Xjeu7UX1k5M0EZgIMHTjN62K7yIiIiKiX0kgvAZJ+jGwN/AiVSrlnSS1p0keAWxT7s2y/VBpMw8YCTwFjAKuKwvEQ4BHStv5wAWSLqfaigFwAPARSSeWz0OBLUp5R+O+JhC2PQmYBDBiq3ck60pEREQMOgmEV6+7gHHtH2x/VtLGVKmU/xs4zva0+gaSxgLL6oqWU/07CbjL9pgOxvkQsA/wEeBfJb2r1B9n+96G/tXRuBERERGtJnuEV6/rgaGSjqkrW6/8ngYcI2ltAEnbSlq/i77uBTaRNKbUX1vSuyStBbzd9nTgJGAjYHjp/7i6/cW79HLciIiIiEEpK8KrkW1LOhj4oaSTgMeBZ4F/AqZQbXmYU4LVx4GDu+jrxbKd4QxJI6j+7f4duA/4ZSkT8EPbT0k6tdyfX/p/EDgQOKcn40ZEREQMVrKz/TO6VqvV3NbW1tfTiIiIiOiWpNm2a83UzdaIiIiIiGhJ2RoR3frD4if40CXn9PU0Vpmrx32yr6cQERER/UBWhCMiIiKiJSUQXs0kWdIv6j6/QdLjkq7qYT8zJDW13yUiIiIiupdAePV7FhglaVj5vD/w51XVuaQhq6qviIiIiFaSQHjN+C1V0guAjwMXtt+QtIekWyTNLb+3K+XDJF0kab6ki4FhdW2WSvp6Sbs8RtIHSvsFks4tqZOR9KCkr0maU+5t39WYEREREa0kgfCacRHwMUlDgZ2A2+vu3QPsY3sX4CvAN0v5McBztncCvgHsVtdmfWCh7XdTZambDBxme0eqFyDrE3g8YXtX4CdAe7rlzsZ8laSJktoktb245JneP3lEREREP5VTI9YA2/MljaRaDf5Nw+0RwHmStgEMrF3K9wHOqGs/v67NcuCScr0dsMj2feXzecBnqZJpAFxafs8GDu1mzPo5TwImAYzYamQOm46IiIhBJyvCa84VwPeo2xZRnApMtz0K+DAwtO5eZwHoC7aXl2t1M+6y8ns5K/7Hp6sxIyIiIlpCAuE151zg67YXNJSPYMXLcxPqym8EDgeQNIpqS0VH7gFGStq6fD4CuKGbuXQ2ZkRERETLSCC8hth+yPbpHdz6LvAtSTcD9SdA/AQYXrZEnATM6qTfF4BPAFMkLQBeAc7uZjqdjRkRERHRMmRn+2d0rVarua2tra+nEREREdEtSbNtN5V7ISvCEREREdGScmpEdOv+xU9w4CU/7+tprDJXjftEX08hIiIi+oGsCEdERERES0og3AuSLOkXdZ/fIOlxSVetRJ9Le1j/QUkb93a8un5Ok3SXpNNWtq+IiIiIgSRbI3rnWWCUpGG2nwf2Z8VxZAPNp4FNbC/rtmZERETEIJIV4d77LfChcv1x6hJlSNpD0i2S5pbf25XyCZL+U9I1ku6V9NWOOpb0RUl3SJov6WvNTkjS+pLOLW3nSjqolI+UNFPSnPKzZym/gipd8+2SDuvVtxARERExQCUQ7r2LgI9JGkqV7OL2unv3APvY3gX4CvDNunt7UCXKGA18VNJrjveQdACwTak3GthN0j5Nzulk4HrbuwP7AqdJWh94DNjf9q7AYaxI3fwR4Hnbo21f3DCPiZLaJLW9uKRHuzYiIiIiBoRsjegl2/MljaRaDf5Nw+0RwHmStqFKk7x23b3rbP8FQNKlwN5A/SG9B5SfueXzcKrA+MYmpnUA8BFJJ5bPQ4EtgIeBMyWNpkq1vG0TzzcJmASw0VYjc9h0REREDDoJhFfOFcD3gLHAm+vKTwWm2z6kBMsz6u41BpWNnwV8y/ZPezEfAeNs3/uaQukU4FFgZ6q/ArzQi74jIiIiBpVsjVg55wJft72YyKbDAAAgAElEQVSgoXwEK16em9Bwb39Jb5I0DDgYuLnh/jTgKEnDASS9VdJbmpzPNOA4SSptd6mbzyO2XwGOIGmVIyIiIhIIrwzbD9k+vYNb3wW+JelmXh903gT8ApgHXGL7NbmLbV8L/Aq4VdICYCqwQSdTmC/pofLzA6qV6LVL+cLyGeAs4EhJt1Fti3i2p88aERERMdjIzvbPNUXSBKBm+9i+nktP1Go1t7W1dV8xIiIioo9Jmm271n3NrAhHRERERIvKy3JrkO3JwOQ+nkZEREREkEA4mnD/4r9w4NTz+3oaq8xV4/++r6cQERER/UC2RkRERERES+q3gbAkS/p+3ecTy3m4PeljbHs64fJ5sqTxTbT7P5IukvRHSXdL+o2kTpNQlBTGC+vGvKon8+yp8hyLJM0rKZPH9LD9KXVJNyIiIiJaUr8NhIFlwKGSNu5NY0lvoEp0sWc3VRvbCbgMmGF7K9s7AP8CbNqbeaxGX7Q9GvgS0HTyjfK9RERERLS8/hwIv0yV4veExhuS3iHp95Lml99blPLJkn4gaTpwMfAZ4ISycvre0nwfSbdIeqCT1eF9gZdsn91eYHue7ZmqnCZpoaQFkg7r6gEkrS/pXEl3SJor6aBSvp6kX5f5Xyzpdkm1cu8ASbeWld4p7Yk1unAjsHVp+6ky1p2SLpG0Xgffy3ca5vgpSb8tCT4iIiIiWkZ/DoQBfgwcLmlEQ/mZwPm2dwIuAM6ou7ctsJ/tccDZwA9tj7Y9s9zfDNgbOBD4dgdjjgJmdzKfQ4HRVKmK9wNOk7RZF/M/Gbje9u5UAfZpktYH/gFYXOZ/KrAbQFn9/nKZ/65AG/CFLvoH+DDQntnuUtu7294Z+C/g6Lp67d/LP7YXSDq2tD/Y9vP1nUqaKKlNUtuLS57pZgoRERERA0+//jO57SWSzgeOB+oDtTFUQSlUWdq+W3dviu3lXXR7eUk1fLeknm532Bu4sPT/qKQbgN2B+Z3UPwD4SN1+3KHAFqWf0wFsL5TU3v49wA7AzSVL8jrArZ30fZqkLwOPsyLgHSXp34CNgOFUKZfbNX4vRwAPUQXBLzV2bnsS1Yo8G231V8m6EhEREYNOvw6Ei38H5gA/76JOfaDWXfrgZXXX6uD+XUBnL9R1VL8rAsbZvvc1hSXK7aT+dbY/3kTfX7Q9taFsMlVge2fJYje27l7j97KQanX7bcCiJsaLiIiIGFT6+9YIbD8J/JrX/pn/FuBj5fpw4KZOmj8DbNDDIa8H1pX0qfYCSbtLeh/VftzDJA2RtAmwDzCri76mAce1B76SdinlNwF/V8p2AHYs5bcBe0lq3/O7XlenVXRgA+ARSWtTfS9dmQt8GrhC0uY9GCMiIiJiUOj3gXDxfaD+9IjjgU+ULQVHAJ/rpN2VwCENL8t1ybaBQ4D9y/FpdwGnAA9TnSYxH7iTKmA+yfb/dtHdqcDawPxyvNqppfwsYJMy/38qfT5t+3FgAnBhuXcbsH0z8y7+FbgduA64p4lnvQk4Ebi6t6dzRERERAxUquK+WJMkDQHWtv2CpK2A3wPb2n6xj6fWoVqt5ra2tr6eRkRERES3JM22XWum7kDYIzwYrQdML1sYBBzTX4PgiIiIiMEqgXAfsP0M0NT/qfQH9y9+kgOnXtDX01gpV43vbst0REREtJqBskc4IiIiImKV6heBsKSTJd1VMq3Nk/TuXvYzVtKedZ8nd5I9bpWQNKGzExfK2M9J2qCu7HRJXlMvpkkaWV7SQ1JN0hndtYmIiIhoFX2+NULSGKosb7vaXlaCxHV62d1YYCnV8WprwgSq83gf7uT+/cBBwC8lrUWVXe7Pa2Zqr2W7jSpTXURERETQP1aENwOesL0MwPYTth8GkPQBSXMlLZB0rqR1S/mD7auqZaVzhqSRwGeAExqOS9tH0i2SHqhfHZb0RUl3lFXor9WVXy5pdlmhnljKhpQV3oVlLieUvmrABWW8YR0824XAYeV6LHAz8HJXY5XyoyXdV57rZ5LOLOWTJZ3R+DyqnFY3v8NoUFbLryrXe5Q+5pbf2zX3TxURERExePSHQPha4O0l8DurJK5A0lCqTGmH2d6RavX6mM46sf0gcDbwQ9ujbc8stzajSml8IPDt0vcBwDbAHlTZ1XaTtE+pf5Tt3aiC3OMlvbnUeavtUWUuPy9Z3dqAw8t49Smg2/2B6rzgNwIfBy5quP+6scpWi3+lSre8P68/R/h1z0OVbno0sDOwH1X65c06+66ozhjex/YuwFeAbzZWkDRRUpuktheXLOmiq4iIiIiBqc8DYdtLgd2AicDjwMUlPfB2wCLb95Wq51Flcuupy22/YvtuYNNSdkD5mUuVvnl7qsAYqoD0TqpkFm8v5Q8AW0r6kaQPAj2JDC+lyoL3bmBmw72OxtoDuMH2k7ZfAqY08Tx7AxfaXm77UeAGYPcu5jQCmFL2D/8QeFdjBduTbNds19bZcMMePG5ERETEwNDne4QBbC8HZgAzJC0AjgTmddHkZVYE8UO76X5Z3bXqfn/L9k/rK0oaS7WiOsb2c5JmAENtL5a0M/DXwGep0iMf1c247S6iCrbPs/2KqmzLnY5VN8eePk9PnApMt31I2VIyo4ftIyIiIga8Pl8RlrSdpG3qikYDf6L68/1ISVuX8iOoVjoBHqRaRQYYV9f2GWADujcNOErS8DKHt0p6C9VK6eISmG5PtT2Bsh95LduXUG1b2LXZ8Wz/N3AyVVrleh2OBcwC3ifpjZLe0PB8nbkROKzsZd6EauV8Vhf1R7Dipb0JTfQfERERMej0hxXh4cCPJG1EtdJ7PzCxpB/+BNWf8N8A3EG1Bxjga8B/SPoX4Pa6vq4Epko6CDiuswFtXyvpncCtZYV2KfD/gGuAz0iaD9xLtWUB4K3Az8vJDwD/XH5PBs6W9DzVym5H+4RpXHkuOhzL9p8lfbM818PA3cDTnT1LcRkwBrgTMHCS7f8tq70d+S5wnqQvANd303dERETEoCTbfT2HaCBpuO2l5X8ALgPOtX1ZX82nVqu5rS0nr0VERET/J2m27aYy+Pb51ojo0CmS5lGdUbwIuLyP5xMREREx6PSHrRHRwPaJfT2HevcvfpIDpzae/DZwXDX+Y309hYiIiOiHsiIcERERES2pZQJhSZb0/brPJ0o6pYd9jJW0Z93nyfXZ6rpot7xkn7tL0p2SvlD34l1nbUaWc347ure5pKmd3Jshqal9MRERERGtrGUCYarzdw8tR6H1WHlxbSywZzdVO/J8yT73LqpscX8LfLW387D9sO1uA/CIiIiI6FwrBcIvA5OAExpvSHqHpN9Lml9+b1HKJ0v6gaTpwMXAZ4ATyurue0vzfSTdIumBZlaHbT9GlUXvWFWGSDpN0h1l/E93ML8JkqZIuhK4tn61WNIwSReVthcDw+raHV1SV8+Q9DNJZ5byTSRdUsa8Q9JePfsqIyIiIga+VntZ7sfAfEnfbSg/Ezjf9nmSjgLOAA4u97YF9rO9vGylWGr7e1AFmsBmVCmOtweuADrcslDP9gNla8RbgIOAp23vLmld4GZJ11KdB1xvDLCT7Scbzgc+BnjO9k6SdqLKYoekzVmR/OMZqvOC7yxtTgd+aPumEvRPA95ZP5ikiVQBO8M27tUiekRERES/1lKBsO0lks4Hjgfqk1+MAQ4t17+gSjjRbkpJAd2Zy22/AtwtadMeTKc9LfIBwE51q8kjgG2A+xrqX2f7yQ762YcqcMf2/JKgA2AP4Ib2NpKmUAX1UKV23qE93TOwoaQNbD/TXmB7EtUKOhtttWUOm46IiIhBp6UC4eLfqVZNf95FnfrA79lu+ltWd61Oa9VXkrYElgOPlTbH2Z7WUGdkQ7Ou5tFRoNrVXNaii0x4EREREa2glfYIA1BWSH8NHF1XfAvQftjs4cBNnTR/BthgZcaXtAlVqugzXaX1mwYcI2ntcn9bSev3oMsbqeaMpFHATqV8FvA+SW8sL/qNq2tzLXBs3ZxG9/Z5IiIiIgaqlguEi+8D9Rtfjwc+UbYVHAF8rpN2VwKHNLws14xh7cenAb+jCkS/Vu6dA9wNzCkvwP2Unq3U/wQYXuZ+ElUAjO0/A98Ebi9j3g08XdocD9TKC3Z3U70EGBEREdFSVC1KxmAkabjtpWVF+DLgXNuX9bSfWq3mtra2VT/BiIiIiFVM0mzbTeVUaNUV4VZxiqR5wEJgEXB5H88nIiIiot9oxZflWobtE/t6DhERERH9VQLh6Nb9ixdz4NQpfT2NXrtq/Ef7egoRERHRD2VrRERERES0pATCq5mk5eXEiDslzZG0Zxd1b2mivwclvS7Vm6SxXfUdEREREa+VrRGr3/O2RwNI+mvgW8D76itIGmJ7ue2VCWTHAkupzkSOiIiIiG5kRXjN2hBYDK+u4E6X9CtgQSlbWn6vJeksSXdJukrSb+pSMAMcV1aXF0javmSh+wxwQvsZx5LeIen35azg30vaovQ9WdIZkm6R9EBDvxEREREtIyvCq9+wcoTZUGAz4P119/YARtle1NDmUGAksCPwFuC/gHPr7j9he1dJ/wCcaPuTks4Gltr+HoCkK4HzbZ8n6SjgDODg0n4zYG9ge+AKYGrjpCVNBCYCDNv4dTsxIiIiIga8rAivfs/bHm17e+CDwPmSVO7N6iAIhipInWL7Fdv/C0xvuH9p+T2bKmDuyBjgV+X6F6XPdpeXvu8GNu2ose1Jtmu2a+tsuGFXzxcRERExICUQXoNs30qV2nmTUvRsJ1XVSXm7ZeX3cppf1a9PIbis7rq7sSIiIiIGpQTCa5Ck7YEhwF+6qXoTMK7sFd6U6kW47jwDbFD3+RbgY+X68NJnRERERBTZI7z6te8Rhmr19Ujby1fsjujQJcAHqFIj3wfcDjzdzThXAlMlHQQcBxwPnCvpi8DjwCd6/wgRERERg49sd18r1jhJw20vlfRmYBawV9kvvMbVajW3tbX1xdARERERPSJptu1aM3WzItx/XSVpI2Ad4NS+CoIjIiIiBqsEwv2U7bF9PYd29y9+ig9PvbT7iv3QleMP7espRERERD+Vl+UiIiIioiW1bCAsaXnJwrZQ0pVlG0J3bbpNXyzpHEk7rMS8TpH05zK3eyT9RNIq/Xdqz2AXERER0cpaNhBmRaKLUcCTwGe7a2B7zybqfLIkqmiKpCEdFP/Q9mhgB6rscu9rtr+IiIiIaE4rB8L1bgXeCtVpDZJ+L2mOpAXlODLKvaXl91hJMyRNLau2F7RniyvltXJ9gKRbS19TJA0v5Q9K+oqkm4CPdjGvdahSMy8u7baSdI2k2ZJmlnOJkfRhSbdLmivpd+Xs4fZn+Xl5jvmSxtU9yzck3Snptvb6EREREa2k5QPhsiL7AeCKUvQCcIjtXYF9ge/XpUSutwvweapV2y2BvRr63Rj4MrBf6asN+EJdlRds7237og76PqGcPfwIcJ/t9nOIJwHH2d4NOBE4q5TfBLzH9i7ARcBJpfxfgadt72h7J+D6Ur4+cJvtnYEbgU918L1MlNQmqe3FJd0dYRwREREx8LTyqRHtiS5GArOB60q5gG9K2gd4hWqleFOg8fiyWbYfAqjrpz5723uoguSbSxy9DtXKc7uLu5jbD21/T9LaVEkyPgZcBewJTKmLy9ctv98GXCxpszLOolK+Hyuyy2F7cbl8sfRHefb9GydgexJV4M1GW22dw6YjIiJi0GnlFeHnyz7cd1AFj+17hA8HNgF2K/cfpdqe0GhZ3fVyXv8/FQKuK/uQR9vewfbRdfef7W6Ctl8CrgH2ofq3eqquv9G231mq/gg40/aOwKfr5iugoyD2Ja/IpNLR3CMiIiIGvVYOhAGw/TRVOuITywrsCOAx2y9J2pcqUO6N24C9JG0NIGk9Sdv2pIOyJWNP4I+2lwCLJH20/Z6knUvVEcCfy/WRdV1cCxxb198be/UkEREREYNQywfCALbnAndSbSO4AKhJaqNaHb6nl30+DkwALpQ0nyow3r7J5u17hBdSrda27wU+HDha0p3AXUD7i3ynUG2ZmAk8UdfPvwFvLEfE3Um15zkiIiIiAK34C3lEx2q1mtva2vp6GhERERHdkjTbdq2ZulkRjoiIiIiWlEA4IiIiIlpSTguIbt2/+Ck+MvU/+3oavXLF+IO6rxQREREtKSvCq4CkTSX9StIDJevbrZIO6aL+SEn/d03OsZN5nCLpxL6eR0RERERfSCC8ksoRZ5cDN9resmR9+xhVkovOjAT6PBCOiIiIaGUJhFfe+4EXbZ/dXmD7T7Z/VFZ+Z0qaU372LFW+DbxX0jxJJ0gaIuk0SXdImi/p0wCSzpL0kXJ9maRzy/XRkv6tXH+hHI+2UNLn2+fQRfnJku6V9Dtgu9X95URERET0V9kjvPLeBczp5N5jwP62X5C0DXAhUAO+BJxo+0AASROBp23vLmldqrTM1wI3Au8FrqBK9bxZ6Xdv4CJJuwGfAN5NlUXudkk3UP0PTmflHwN2ofq3n0OVYvl1ypwmAgzbeJPefC8RERER/VoC4VVM0o+pAtUXgf2AMyWNpkpl3FlmuQOAnSSNL59HANsAM4HPS9oBuJsqOcZmwBiqbHhHAZfZfraMfSlV4KxOytcq5c+V8is6ew7bk4BJABtttXUOm46IiIhBJ4HwyrsLGNf+wfZnJW0MtAEnAI8CO1MFoS900oeA42xPe92NKi3yB6lWh98E/B2w1PYzZX9yZ/11JkFtREREBNkjvCpcDwyVdExd2Xrl9wjgEduvAEcAQ0r5M8AGdfWnAcdIWhtA0raS1i/3bgU+TxUIzwROLL8pZQdLWq/UP6Tc66r8EEnDJG0AfHiVfAMRERERA1BWhFeSbUs6GPihpJOAx4FngX+i2oN7iaSPAtNLOcB84GVJdwKTgdOpTpKYU1Z5HwcOLnVnAgfYvl/Sn6hWhWeWsedImgzMKnXPsT0XoIvyi4F5wJ9YEVBHREREtBzZ+Ut5dK1Wq7mtra2vpxERERHRLUmzbdeaqZutERERERHRkhIIR0RERERLyh7h6Nb9i5/mI1Ov7utp9NgV4z/U11OIiIiIfiwrwhERERHRkhII94CkpQ2fJ0g6s5s2r9aRdIqkE1di/LGSrupB/RmSmtosHhEREdFqEgj3Y5KydSUiIiJiNUkgvIpI+rCk2yXNlfQ7SZt2U38rSddImi1ppqTtS/lkST+QNB34TpNjf0XSHZIWSprUmHFO0lqSzpP0b+XzAZJulTRH0hRJw3v52BEREREDVgLhnhkmaV77D/D1uns3Ae+xvQtwEXBSN31NokqrvBtVtriz6u5tC+xn+x+bnNeZtne3PQoYBhxYd+8NwAXAfba/XNI/f7n0vytVKugvNHYoaaKkNkltLy55uslpRERERAwc+dN7zzxve3T7B0kTgPY9uG8DLpa0GbAOsKizTsoK7J7AlLrF23XrqkyxvbwH89q3ZLVbjyrz3F3AleXeT4Ff2/5G+fweYAfg5jL2OlRpnF/D9iSqYJ2NttomWVciIiJi0EkgvOr8CPiB7SskjQVO6aLuWsBT9UF1g2c7KX8dSUOpVpNrtv9H0inA0Loqt1AFyt+3/QIg4DrbH292jIiIiIjBKFsjVp0RwJ/L9ZFdVbS9BFgk6aMAquzcy3Hbg94nykrz+Ib7/wH8hmr1+Q3AbcBekrYuY68nadtejh0RERExYCUQXnVOoQo2ZwJPNFH/cOBoSXdSbWU4qMlxPiDpofYf4J3Az4AFwOXAHY0NbP8AmAP8AvgLMAG4UNJ8qsB4+ybHjoiIiBg0ZGf7Z3StVqu5ra2tr6cRERER0S1Js203lUchK8IRERER0ZLyslx06/7FSzho6jV9PY0e+8/xH+zrKUREREQ/lhXhiIiIiGhJCYT7CUnLS6KOO0vGtz3XwJgTJG2+useJiIiI6I8SCPcfz9sebXtn4J+BbzVWkDRkFY85AUggHBERES0pgXD/tCGwGEDSWEnTJf0KWCDpVEmfa68o6RuSjpc0XNLvy2ryAkkHlfsjJf2XpJ9JukvStZKGSRpPlRXvgrISPawvHjQiIiKir+Rluf5jmKR5VAkyNgPeX3dvD2CU7UWSRgKXAqdLWgv4WLn/AnCI7SWSNgZuk3RFab8N8HHbn5L0a2Cc7V9KOhY40fbrzkaTNBGYCDBs47eshseNiIiI6FsJhPuP59tTLksaA5wvaVS5N8v2IgDbD0r6i6RdgE2Bubb/Imlt4JuS9gFeAd5a7gMssj2vXM8GRnY3GduTgEkAG221bQ6bjoiIiEEngXA/ZPvWsqq7SSl6tqHKOVT7e/8PcG4pO7zU3832S5IeZEX65WV1bZcD2QYRERERLS97hPshSdsDQ6jSIXfkMuCDwO7AtFI2AnisBMH7Au9oYqhngA1WcroRERERA1JWhPuP9j3CAAKOtL1c0usq2n5R0nTgKdvLS/EFwJWS2oB5wD1NjDkZOFvS88AY28+v7ENEREREDBSys/1zoCkvyc0BPmr7D6t7vFqt5ra2171PFxEREdHvSJptu9ZM3WyNGGAk7QDcD/x+TQTBEREREYNVtkYMMLbvBrbs63lEREREDHQJhKNb9y9ewsFTf9fX0+ixy8fv19dTiIiIiH4sWyN6SdLJJVPb/JKZ7d1raNwJkjpMiyxpcskYV1+2tPzeXNLUcj1W0lV1/Z25uucdERER0d9kRbgXSsKLA4FdbS8rZ/6us4aGnwAsBB7uSSPbDwPju60YERER0SKyItw7mwFP2F4GYPuJEmgi6cESGCOpJmlGuT5F0rmSZkh6QNLxpXx9SVdLulPSQkmHlfLdJN0gabakaZI2K6u9NeCCsgrddGIMSSMlLVyVX0JERETEQJZAuHeuBd4u6T5JZ0l6X5Pttgf+GtgD+GpJi/xB4GHbO9seBVxTyn8EjLe9G1X2uG/Yngq0AYfbHt3Jub+nlSB5Xt25xBERERHRIIFwL9heCuwGTAQeBy6WNKGJplfbXmb7CeAxYFNgAbCfpO9Ieq/tp4HtgFHAdSWY/TLwtian98USJI+2PbpnT7aCpImS2iS1vbjk6d52ExEREdFvZY9wL5WMbjOAGZIWAEdSZWp7mRX/gzG0odmyuuvlwBts3ydpN+BvgW9JupYqhfJdtsesvifomu1JwCSAjbbaNllXIiIiYtDJinAvSNpO0jZ1RaOBP5XrB6lWiwHGNdHX5sBztn8JfA/YFbgX2KS8lIektSW9qzR5BthgpR8iIiIiosVlRbh3hgM/krQR1Qrw/VTbJAC+BvyHpH8Bbm+irx2p9vW+ArwEHGP7xfJi3BmSRlD9O/07cBfVqvPZkp4HxnSyTzgiIiIiuiE7f/WOrtVqNbe1tfX1NCIiIiK6JWm27VozdbM1IiIiIiJaUgLhiIiIiGhJ2SMc3frj4mc45JIZfT2NTl02bmxfTyEiIiIGoKwIR0RERERLSiC8ikhaXrK5LZR0ZTlRAkmbS5q6mseuSTpjdY4RERERMdgkEF51ni/Z3EYBTwKfBbD9sO3xK9u5pE63sdhus338yo4RERER0UoSCK8etwJvBZA0UtLCcn17XWIMJM2QtJuk9SWdK+kOSXMlHVTuT5A0RdKVwLWSLpb0t3XtJ0saJ2mspKtKWWd9/UbSTuV6rqSvlOtTJX1yzXwtEREREf1HAuFVTNIQ4APAFR3cvgj4u1JvM2Bz27OBk4Hrbe8O7EuVYGP90mYMcKTt95f2h5X265RxftMwRmd93Qi8V9KGVElA9ir19wZmdvAcEyW1SWpbtuTpXnwTEREREf1bAuFVZ5ikecBfgDcB13VQ59fAR8v13wFTyvUBwJdK+xnAUGCLcu8620+W698C75e0LvA3wI0dZJbrrK+ZwD5Uge/VwHBJ6wEjbd/bOFHbk2zXbNfW3XBE899CRERExACR49NWnedtjy4pka+i2iP8mhfYbP9Z0l/KFoXDgE+XWwLGNQakkt4NPFvX/gVJM4C/Lu0v7GAenfW1DlADHqAK0jcGPgXM7t3jRkRERAxsWRFexWw/DRwPnChp7Q6qXAScBIywvaCUTQOOkyQASbt0McRFwCeA95Z2jTrsy/aLwP9QrUTfRrVCfCIdbIuIiIiIaAUJhFcD23OBO4GPdXB7ain/dV3ZqcDawPzyYt2pXXR/LdUWh9+V4LZRV33NBB61/Vy5fhsJhCMiIqJFyXZfzyH6uVqt5ra2tr6eRkRERES3JM22XWumblaEIyIiIqIl5WW56NYfFy/l0Etu6utpvM6l4/bu6ylERETEAJYV4YiIiIhoSYM6EJa0XNK8up+RXdTdXNLUNTe7rkn6fDnnt6N7MyTdK+lOSTdL2q6HfU+WtNJpnyMiIiIGskEdCFPO9q37ebCzirYftv264FBSX20f+TzQYSBcHG57Z+A84LRmO+3D54mIiIjoVwZ7IPw6kkZKmilpTvnZs658YbmeIGmKpCuBayWNlXSDpF9Luk/StyUdLmmWpAWStirt3iHp95Lml99blPLXrMBKWlp+jy2ru1Ml3SPpAlWOBzYHpkua3s0j3QhsXfr7iqQ7JC2UNKnuLOEZkr4p6Qbgcw3fx6llfi3330JERES0tsEe/Ayr2xZxWSl7DNjf9q5U2dnO6KTtGOBI2+8vn3emCiJ3BI4AtrW9B3AOcFypcyZwvu2dgAu66LveLlSrvzsAWwJ72T4DeBjY1/a+3bT/MNCemONM27vbHgUMAw6sq7eR7ffZ/n57gaTvAm8BPmH7lfpOJU2U1CapbdmSp5p4jIiIiIiBZbD/mfx526MbytYGzpQ0GlgObNtJ2+tsP1n3+Q7bjwBI+iNVYguogtD2YHUMcGi5/gXw3SbmOMv2Q6XfecBIoJkjGi6Q9DzwICsC8X0lnUS1peJNwF3AleXexQ3t/xW43fbEjjq3PQmYBPDGrbbPYdMREREx6Az2QLgjJwCPUq3wrj+3YuwAACAASURBVAW80Em9Zxs+L6u7fqXu8yt0/j22B5Avl7Eo2xXW6aTf5V301ehw269muZA0FDgLqNn+H0mnAEPr6jc+zx3AbpLe1BDwR0RERLSEwb41oiMjgEfKVoAjgCGrsO9bWJFW+XBWrOw+COxWrg+iWpXuzjPABj0Yuz3ofULScKC7UyGuAb4NXC2pJ+NEREREDAqtGAifBRwp6TaqbRGNK6Ur43jgE5LmUwXZ7S+m/Qx4n6RZwLubHHMS8NsmXpYDwPZTZZwFwOVUK77dtZlS2lwhaVgz40REREQMFrKz/TO6VqvV3NbW1n3FiIiIiD4mabbtWjN1W3FFOCIiIiIigXBEREREtKZWPDUieuiPi59l3CW39/U0XuOSce/u6ylERETEAJcV4YiIiIhoSS0RCEs6WdJdJfXxPEm9Wk4sKZH3rPv8mtTJXbRbXsa9S9Kdkr7QXUrj+pTPHdzbXNLUTu7NkNTUBvGIiIiIVjbot0ZIGkOVanhX28skbcxrE1r0xFhgKdV5wT3xaoY7SW8BfkV1nvFXezoBSW+w/TDdnxMcEREREV1ohRXhzYAnbC8DsP1ECSSR9AFJcyUtkHSupHVL+YMlYEZSrayyjgQ+A5xQVnffW/rfR9Itkh5oZnXY9mPAROBYVYZIOk3SHWXF+tONbSRNkDRF0pXAtfWrxZKGSbqotL0YGFbX7mhJ95X5/0zSmaV8E0mXlDHvkLRX777aiIiIiIGrFQLha4G3l4DwLEnvg1dTEk8GDrO9I9Xq+DGddWL7QeBs4Ie2R9ueWW5tBuxNter87WYmZPsBqu/+LcDRwNO2dwd2Bz4l6a86aDYGONL2+xvKjwGes70T8A1KBjtJmwP/CrwH2B/Yvq7N6eU5dgfGAec0DiZpoqQ2SW3LljzVzGNFREREDCiDPhC2vZQqOJwIPA5cLGkCsB2wyPZ9pep5wD69GOJy26/YvhvYtAftVH4fAPy9pHnA7cCbgW06qH+d7Sc7KN8H+CWA7fnA/FK+B3CD7SdtvwRMqWuzH3BmGfMKYMPGNMu2J9mu2a6tu+FGPXisiIiIiIFh0O8RBrC9HJgBzJC0ADgSmNdFk5dZ8T8JQ7vpflndtTqtVV9J2hJYDjxW2hxne1pDnZENzbpKy9xResCu5rIWMMb2891ONiIiImKQGvQrwpK2k1S/wjoa+BNwDzBS0tal/AjghnL9IGWLAdXWgXbPAK9ZOe3FfDah2mJxpqv81tOAYyStXe5vK2n9HnR5I3B4aTsK2KmUzwLeJ+mNkt7Q8BzXAsfWzWl0b58nIiIiYqAa9IEwMBw4T9LdkuYDOwCn2H4B+AQwpawSv0IVoAJ8DThd0kyqldt2VwKHNLws14xh7cenAb+jCkS/Vu6dA9wNzCkvwP2Unq3U/wQYXp7tJKoAGNt/Br5Jtd3id2WMp0ub44FaecHubqqXACMiIiJaiqpFyRiMJA23vbSsCF8G/5+9Ow2zqyrTPv6/GYRAQhAIiIBGEYkQoDCHIYxREIdGBUGhGwcGSdOtHdEXp7ZFBhGnFhVUjIgRFY2MYrQBFUICJJCqzKBgM7UKyhSGQAgk3O+HvQ45FDVXJZWqun/XVVfts/aa9qkvT1bWXg8X2r6iu/3UajU3Nzf3/QQjIiIi+pikFttdyqkwFFaEh7LTygtxi4F7gCv7eT4RERERa40h8bLcUGX7lL7o564lT3PkZXP7oqteu/SIN/b3FCIiImKQyIpwRERERAxJCYT7gKRXlOxud5WX8n4r6fX9MI9j69njGsqmS6qV699K2rRcLy2/X8hSFxERETGUZGtEL0kS1YtoP7Z9dClrokqucWdDvXXLecb9xvY7+nP8iIiIiLVJVoR7703Ac7brR69he77tmZImSLpe0sXAIgBJn5C0uPycXMo+JWlSuT5H0nXl+iBJPy3XSyWdJWmBpNmSupPFjtLHvZK26P0jR0RERAx8CYR7byzQ0sH9PYHP2d5J0jiqs4v3AvYGTpS0O1VSjPq5xDWqc4HXB/YDZpbyjYHZtncr9U9sZ7yjypnF88uJEV06PqQ1SRMlNUtqXv7Ekp50EREREbFWSyC8+t1q+55yvR9whe2nbC8FLqcKgFuAcZJGUKVsnkUVwO7PqkD4WWBauW4BRrcz3lTbTfUfoEcHANuebLtmu7bBJi/vSRcRERERa7UEwr13G6vSMbflqYZrtVXB9nNUaZ2PA26mCn7fBGwP/LFUe86rsp+sJPu7IyIiInolgXDvXQdsIOmFrQqS9pB0YBt1ZwCHSdpI0sbA4axa8Z0BnFJ+z6RKezzfSf0XERERsVokEO6lEqgeDrylHJ92G3AacH8bdecCU4BbgVuAC2zPK7dnAlsDs2z/A3iGVUFyRERERPQxZcExOlOr1dzc3KOtxhERERFrlKQW2106LCArwhERERExJOWFq+jU3UuW8d7L+j/53CVHjO3vKURERMQgkhXhiIiIiBiShmQgLGlpq8/HSjqvXJ8k6YOdtH+hfhv3+ix7W+t5NpSvLAkzFku6RNJG3ew3GeYiIiJiyBuSgXBHbJ9v+6L+nkcnlpWEGWOpEm2c1NWGktZdfdOKiIiIGDgSCLci6TRJp5TrPSQtlDRL0tckNW6UfaWkqyX9WdJX2+nrSkktkm6TNLGhfKmksyQtkDRb0lal/DVlrDmSzuzilGcCr+vCeGdIugUY31A+rDxDe+maIyIiIgatoRoIDytbC+ZLmg+c0U69HwEn2R5Plc2tURNwFLALcJSk7dpof7ztcVTpkidJ2ryUbwzMtr0bVQKNeiD6LeB7tvcA/t7ZQ0haD3g7sKgL4y22vZftG0vZcODXwMW2f9BG3xMlNUtqXv7Eks6mEhERETHgDNVAuL61oMl2E3Bq6wqSNgVG2L65FF3cqsofbD9u+xngduDVbYwzSdICYDawHbBDKX8WmFauW4DR5Xpf4Ofl+icdzH9YCeCbgf8DftjJeCuBy1r18SvgR+1tA7E92XbNdm2DTV7ewVQiIiIiBqYcn9Y+dXJ/ecP1Slp9l5ImAAcD420/LWk6sGG5/VxD6uTWbbuS4WRZCeC7Ot4ztluvaN8EvF3SxUnjHBEREUPRUF0R7pTtJcCTkvYuRUd3s4uRwJISlI4B9u6sAVVwWh/nmNU83qnAI8B3uzlORERExKCQQLhjJwCTJc2iWiF+vBttrwbWk7QQOJNqu0JnPgZ8RNIcqsC2O3oy3snAhu297BcRERExmCn/K94+ScNtLy3XnwG2tv2xfp7WGler1dzc3Nzf04iIiIjolKQW27Wu1M0e4Y79k6TPUn1P9wHH9u90IiIiIqKvJBDugO2pwNT+nkdERERE9L0EwtGpu5cs56jL/tzf02DqETt0XikiIiKii/KyXEREREQMSQmEe0nS0lafj5V0Xrk+SdIHO2n/Qv1O6k2XdEdJy3yTpB07qX+BpJ06qXNYZ3UiIiIiBqsEwquR7fPby9zWQ8eUtMw/Br7Wydgftn17J/0dBiQQjoiIiCEpgfBqJOk0SaeU6z0kLZQ0S9LXJC1uqPpKSVdL+nMXz/SdAbyu9HuQpHmSFkm6UNIGpXy6pFq5XirprLKaPFvSVpL2Ad4FfE3SfEnb9+nDR0RERKzlEgj33rASSM6XNB84o516PwJOsj2eKq1yoybgKGAX4ChJ23Uy5juBRZI2BKYAR9neherlx39ro/7GwOyymjwDONH2zcBVwCdtN9m+q7GBpImSmiU1L3/i0U6mExERETHwJBDuvWUlkGyy3USVuvhFJG0KjCjBJ8DFrar8wfbjtp8Bbgde3c5YPyvB9r7AKcCOwD227yz3fwwc0Ea7Z4Fp5boFGN3ZQ9mebLtmu7bBJpt1Vj0iIiJiwMnxaWuGOrm/vOF6Je3/XY6x/UKKN0mbd3H857wqhWBH/UdEREQMGVkRXgNsLwGelLR3KTq6j7r+EzBa0uvK5w8AN3Sj/ZPAiD6aS0RERMSAkkB4zTkBmCxpFtUK8eO97bBspTgOuETSIuB54PxudPEL4JPlZbu8LBcRERFDilb9j3msTpKG215arj8DbG37Y/08rS6p1Wpubm7uvGJEREREP5PUYrvWlbrZK7rm/JOkz1J95/cBx/bvdCIiIiKGtgTCa4jtqcDU/p5HT9z72LN86PL7+nsa/Pg97R2mEREREdF92SMcEREREUNSAuEekLSyJNBYIGluydKGpFdKurRcN0l6R0ObCfV6vRh3dKuMdJ3VnyLpyN6MGRERETFYJRDumXoSjd2AzwJnA9i+33Y98GwC3tHQZgLQrUBYUrauRERERKwmCYR7bxNgCaxasZX0MqpUy0eVleNPAycBHy+f95c0StJlkuaUn31LH6dJmizpWuCirkxA0omljwWlz43aqHNmWSFeR9I4STdIapF0jaSt++rLiIiIiBgosuLYM8NKquMNga2BNzfetP2spFOBmu2PAkgaBiy1/fXy+WLgHNs3SnoVcA3whtLFOGA/28u6OJ/Lbf+g9PtFqjOLz63flPRVYCTVmcPrlXvvtv2QpKOAs4DjGzuUNBGYCLDxFtt0cRoRERERA0cC4Z5ZZrsJQNJ44CJJY7vZx8HATtIL2Zc3kVTP8nZVN4JggLElAN4UGE4VVNd9HrjF9sQy3x2BscDvytjrAg+07tD2ZGAywBav2zWHTUdERMSgk0C4l2zPkrQFMKqbTdcBxrcOeEtw+lQ3+5oCHGZ7gaRjqfYj180BxknazPajVFntbrM9vptjRERERAwq2SPcS5LGUK2qPtLq1pPAiA4+Xwt8tKGfpl5MYwTwgKT1gWNa3bsa+DLwm7LifAcwqqxkI2l9STv3YuyIiIiIASmBcM8MKy+9zadKkvEh2ytb1bmeauvD/LIP99fA4fWX5YBJQE3SQkm3U71M1xU7Svprw897KdsfgN8Bf2rdwPYlwA+Aq6iC9iOBr0haAMynm6dZRERERAwGsrP9MzpWq9Xc3Nzc39OIiIiI6JSkFtu1rtTNinBEREREDEl5WS469dfHnuWUK/7ar3P4+uHb9uv4ERERMfhkRTgiIiIihqQEwr0gaWV5+W2BpLmSVstLZ5KOlXReJ3XOkHTw6hg/IiIiYjDK1ojeaUys8VbgbODAxgqS1m3jRIk+Z/vU1T1GRERExGCSFeG+swmwBEDSBEnXlzTKi0rZJyQtLj8n1xtJulJSi6TbSlrjevlxku6UdAOwbykbKeleSeuUzxtJ+ks5C3iKpCNL+ThJN5R+r5G0taQtJbWU+7tJckntjKS7JG20Rr6liIiIiLVEVoR7Z1g5S3hDYGvgzQ339gTG2r5H0jjgOGAvqsxut0i6wfY84Hjbj0oaBsyRdBnwMuB0YBzwONWZxPNsP17O/j2wlL0TuMb2c/VUzSWpxrnAu20/VM4wPsv28ZI2lLQJsD/QDOwv6UbgQdtPNz5YCconAowYtU3ffmsRERERa4EEwr3TuDViPHCRpLHl3q227ynX+wFX2H6q1L2cKhidB0ySdHiptx2wA/AKYLrth0r9qcDrS52pwFFUgfDRwHdbzWlHYCzwuxIcrws8UO7dTLW6fADwJeBtVIH5zNYPZnsyMBngFa/bNYdNR0RExKCTQLiP2J4laQtgVCl6quG22mojaQJwMDDe9tOSplOtLgO0F3xeBZwtaTOqFePrWncL3GZ7fBttZ1IF4K8GfgV8uowzrf0ni4iIiBicske4j0gaQ7X6+kgbt2cAh5U9vRsDh1MFpSOBJSUIHgPsXerfAkyQtHnZ6vDeeke2lwK3At8CprXxIt4dwKiyQk3ZP7xzwzzeD/zZ9vPAo8A7gJt6+fgRERERA05WhHunvkcYqpXYD9leWd+vW2d7rqQpVAEswAW250m6HThJ0kKqAHZ2qf+ApNOAWVTbGuZSBdl1U4FLgAmtJ2T72fLS3LcljaT6G3+TapX43jK3GaX6jcC2tpf0/CuIiIiIGJhkZ/tndKxWq7m5ubm/pxERERHRKUkttmtdqZutERERERExJCUQjoiIiIghKXuEo1MPPPYcZ15xf7/O4fOHv7Jfx4+IiIjBJyvCERERETEkDalAWJUbJb29oex9kq7uZj8/lXRYD+fwYUnzy8+zkhaV67N60l9ERERE9MyQ2hph25JOAi6RdD3VkWRnUWVYW20krWd7RZnDBcAFpfyvwP62H+tJX219joiIiIiuGVIrwgC2FwO/psqq9gXgItt3SfqQpFvL6ux3Ja0jaT1JPymrtoslTWrdn6Q9JN0gqUXS/0jaqpTfKOksSTOAj3ZlbpJGSLpI0hxJ8yS9o5SfJOliSb8Bpkl6m6RrSurl5lLnt2UOt0k6tqHPd5a+Fkj6bUfjRERERAwlQ2pFuMHpVEkqngVqksZSZXvbx/YKSZOBo4G7gC1s7wIgadPGTiRtQJXh7V22H5Z0DHAmMLFU2cT2Ad2c11W2Pyhpc2C2pN+Xe+OB3W0/Jult5fNOtv9a7r/f9qMlc12zpMuB4cB3gH1t/6WkZW53HNvPNjzbxPpzjBy1TTceISIiImJgGJKBsO2nymrqUtvLJR0M7EEVQAIMA/4CXAPsKOlbwG+Ba1t19QZgZ+D3pd26wF8b7v+im1M7BDhY0n+VzxsA25brq1ttobipHgSrGvz/STq03NsWeC2wA/A7238pz/1oJ+PcXe/c9mRgMsA2r9stWVciIiJi0BmSgXDxfPmBKj3yhbY/37qSpF2BtwOTgCNYtdpbb7fQ9v7tjPFUN+ck4J2272s1h7b6avz8VqoV4r1sPyNpNrBh6a+tILbNcSIiIiKGkiG3R7gdvwfeJ2kLAEmbS3qVpFFUaagvodpP/MZW7W4HtpG0Z2n3Mkk792Ie11AF3JT+du9iu5HAIyUI3qVhnjcCh0jarvRX3xrR03EiIiIiBo2hvCL8AtuLJJ1OtcVhHeA54CRgJfDDsvXAVC/YNbZbLulI4NuSRlB9n/8N3NbDqZwKfEvSIqp/pPyJahW6M78GPixpAfBHYE6Z3/2SPkr1gh1U2z0O7cU4EREREYOG7Gz/jI7VajU3Nzf39zQiIiIiOiWpxXatK3WzNSIiIiIihqRsjYhO/eOx5zjnir/36xw+fvgr+nX8iIiIGHyyIhwRERERQ9KgDYQlTZf01lZlJ5esca+UdGkn7U+WtNFqnFut4fNoSYs7adPpnEu9pe2UHyZpp+7PNiIiImJwGrSBMPBzquxwjY4Gfm77fttHdtL+ZKBbgbCkdbtTvzu6OOeOHAYkEI6IiIgoBnMgfClwaEmDjKTRwCuBGxtXYCWtK+nrkhZJWijpPyRNKnWvl3R9qffPpc5iSV+pDyJpqaQzJN0C/JekKxruvaWkOu6yMp+vSZpT5vOv9fk3zHkjSb8s96dKuqXVCvNZkhZImi1pK0n7AO8CviZpvqTtJU2SdHvpo7sZ8CIiIiIGvEH7spztRyTdCrwN+BXVavBU2y5n6tZNBF4D7G57haTNbD8q6RPAm2w/LOmVwFeAccAS4FpJh9m+EtgYWGz71HLe8B8ljbL9EHAc8KN2pvgzScvK9ctYleXuBOBx23uUIP4mSdfy4gxx/w4ssb2rpLHA/IZ7GwOzbX9O0leBE21/UdJVwDTblwJI+gzwmnIW8qatJydpYvluePmobdr/oiMiIiIGqMG8Igwv3h5xdPnc2sHA+bZXANh+tI06ewDTbT9U6v0MOKDcWwlcVtoa+Anw/hJcjgf+p525HWO7yXYT8I6G8kOAD0qaD9wCbA7s0KrtfsAvypiLgYUN954FppXrFmB0O+MvpArG3w+saH3T9mTbNdu1jTfZvJ0uIiIiIgauQbsiXFwJfEPSG4Fhtue2UaeeNa4j6uDeM7ZXNnz+EVWmt2eAS+oBdjcI+A/b17yosNra0ZX5POdVWVJW0v7f+J+ogvl3AZ+XtHMP5hoRERExYA3qFWHbS4HpwIW0vRoMcC1wkqT1ACRtVsqfBEaU61uAAyVtUV6I+2fghnbGvB+4H/gvYEoPpn0N8G+S1i/zeb2kjVvVuRF4X7m/E7BLF/p94XlKGuntbF8PfArYFBjeg7lGREREDFiDOhAufg7sRtlK0IYLgP8DFkpaAPxLKZ8M/I+k620/AHwWuB5YAMy1/asOxvwZ8Bfbt/dgvhcAtwNzy8tx3+elq7rfBUZJWgh8mmqbw+Od9PsL4JOS5lFttfippEXAPOAc24/1YK4RERERA5ZW/S969BVJ5wHzbP9wNfW/LrC+7WckbQ/8AXi97WdXx3i1Ws3Nzc2ro+uIiIiIPiWpxXat85qDf4/wGiepBXgK+H+rcZiNqI52W59qv/C/ra4gOCIiImKwSiDcx2yPWwNjPAl06V86feGhx1bw/csfXFPDvcS/vmfLfhs7IiIiBq+hsEc4IiIiIuIlEgh3g6RzJJ3c8PkaSRc0fP7vkoijK32dJumU1THPrpI0RVJv0jZHREREDFgJhLvnZmAfeOEIsi2AnRvu7wPc1A/zioiIiIhuSiDcPTdRAmGqAHgx8KSkl5d0yG8A5kn6pKQ5khZKOr3eWNLnJN0h6ffAjg3le5S6syR9rRybhqTfStq1XM+TdGq5PlPSh1X5mqTFkhZJOqrc76j8PEm3S/oNkM23ERERMWTlZblusH2/pBWSXkUVEM8CtqFKpfw41Xm+E6jO6d2T6kSHqyQdQHWSxNHA7lTf+1yqFMhQZaObaPtmSV9uGHIGsL+ke6nSIO9byvcDfgq8B2iiOid5C2COpBllbm2Vj6cKwHcBtqI6r/jCtp5V0kRgIsBmW2zb/S8rIiIiYi2XFeHuq68K1wPhWQ2fbwYOKT/zqILdMVSB8f7AFbaftv0EcBWApE2BEbZvLv1f3DDWTKo0yPsBvwGGS9oIGG37jlL+c9srbf+DKtvdHh2UH9BQfj9wXXsPaXuy7Zrt2vCRm/fi64qIiIhYOyUQ7r76PuFdqLZGzKZaaa3vDxZwtu2m8vO6hsQabWUvUQdjzaE6Jm1/qtXhecCJrFpJbq9tR30mg0pEREQECYR74ibgUODRsrL6KLApVTA8C7gGOF7ScABJ20jakiqQPVzSMEkjgHcC2F5Ctc9479L/0fWBSpKMvwDvowq4ZwKnlN+UPo+StK6kUVQrvrd2Un50Kd8aeNNq+H4iIiIiBoTsEe6+RVT7bi9uVTbc9sPAtZLeAMySBLAUeL/tuZKmAvOB+1gVzAKcAPxA0lPAdKr9xnUzgYNsPy1pJrBtQ9srqALwBVQrvZ+y/XdJHZW/ucz3TqotExERERFDkuz8T3l/kzTc9tJy/Rlga9sf6+dpvaBWq7m5ubm/pxERERHRKUkttruUgTcrwmuHf5L0Waq/x33Asf07nYiIiIjBL4HwWsD2VGBqf88jIiIiYihJIBydeuSxFVx0+UP9Nv4H3zOq38aOiIiIwSunRkRERETEkJRAuJ9JWilpvqTbJC2Q9AlJPf67SDpN0il9OceIiIiIwShbI/rfMttNAOW84YuBkcAX+nVWEREREYNcVoTXIrYfBCYCH1XlWEnn1e9LmiZpQrleKumssoo8W9JWrfuTdKKkOaXOZSU9M5KmSDpf0kxJd0o6dA09YkRERMRaI4HwWsb23VR/ly07qboxMNv2blQZ405so87ltvcodf5IlbijbjRwIPBPwPmSNmxsKGmipGZJzU8+/kjPHiYiIiJiLZZAeO2kLtR5FphWrluoAtvWxpZV30XAMcDODfd+aft5238G7gbGNDa0Pdl2zXZtxMjNu/0AEREREWu7BMJrGUmvBVYCDwIrePHfqHHV9jmvSgu4krb3e08BPmp7F+D0Vu1bpxRMisGIiIgYUhIIr0UkjQLOB84rQe69QJOkdSRtB+zZzS5HAA9IWp9qRbjRe0u/2wOvBe7o3ewjIiIiBpacGtH/hkmaD6xPtQL8E+Ab5d5NwD3AImAxMLebfX8euIUqbfMiqsC47g7gBmAr4CTbz/T0ASIiIiIGIq363/UYKiRNAabZvrQr9Wu1mpubm1fvpCIiIiL6gKQW27Wu1M3WiIiIiIgYkrI1YgiyfWx36i9ZsoJfXvbwappNx953xBb9Mm5EREQMflkRjoiIiIghaVAEwpIs6ScNn9eT9JCkaZ20a5L0jobPEyTt0/B5iqQjV8+s253TaZL+Jmm+pD9J+p6kPv07SVral/1FREREDESDIhAGnqJKHjGsfH4L8LcutGsC3tHweQKwT9tV16hzbDcBOwG7UGWAi4iIiIg+NFgCYYD/oUoXDPDPwM/rNyTtKelmSfPK7x0lvQw4AziqrL5+GjgJ+Hj5vH9pfkBpc3fj6rCkT0qaI2mhpNNL2ackTSrX50i6rlwfJOmnktYtq8yLJS2S9PFOnullVEkwlpR+tpd0taSWkjFuTCl/p6RbyvP9XtJWpXy4pB+VsRZKOqJh/mdJWiBpdr1+RERExFAymALhXwBHS9oQ2JXq/Ny6PwEH2N4dOBX4ku1ny/VU2022v0KVzOKc8nlmabs1sB9wKPBlAEmHADtQJbhoAsZJOgCYAdQD6BowvCSz2A+YWepuY3tsyfb2o3ae5ePlbOEHgDttzy/lk4H/sD0OOAX4bim/Edi7PN8vgE+V8s8Dj9vexfauwHWlfGNgtu3dypxPbD0BSRMlNUtqfuKJR9qZZkRERMTANWhOjbC9UNJoqtXg37a6PRL4saQdqFIJr9+Nrq+0/Txwe8PK6SHlZ175PJwqML6IKigeASynSoBRowqOJ1EFtq+VdC7wG+DadsY8x/bXSxB9qaSjgWlU2zYukVSvt0H5vS0wVdLWVKvI95Tyg4Gj65VtLymXz5b+AFqotpK8iO3JVIE322/flMOmIyIiYtAZTCvCAFcBX6dhW0RxJnC97bHAO6m2G3TV8oZrNfw+u6wcN9l+ne0f2n6OKi3yccDNVKvAbwK2B/5YAtHdgOnAR4ALOhq4DOK7nQAAIABJREFU9Hc1cADV3+qxhjGbbL+hVD2XKi3zLsC/NjyfqAL/1p7zqkwqKxlE/yCKiIiI6KrBFghfCJxhe1Gr8pGsennu2IbyJ3lx2uHWn9tzDXC8pOEAkraRtGW5N4Nq28IMqkD4JGC+bUvaAljH9mVU2xbe2NEgqpZ+9wHusv0EcI+k99bvSdqtjef7UEMX1wIfbejv5V14toiIiIghYVAFwrb/avtbbdz6KnC2pJuAdRvKrwd2Ki/HHQX8Gji81ctybY1zLXAxMEvSIuBSVgXQM6n2Fc+y/Q/gmVIGsA0wvez/nQJ8tp0h6nuEF1Ot1tb3Ah8DnCBpAXAb8O5SfhrVlomZQGPmiy8CLy8v5y2gWp2OiIiICECr/oc8om21Ws3Nzc39PY2IiIiITklqsV3rSt1BtSIcEREREdFVCYQjIiIiYkjKaQHRqceWrOBXlzzcecU+9u73brHGx4yIiIihY0CtCEv6nKTbSpa0+ZL26mE/EyTt0/B5SmPWuA7arSzjLpA0t7GPtYGke8vJFPXPEyRNK9fvkvSZcn2apFPKdZeePSIiImKwGTArwpLGU2V3e6Pt5SXge1kPu5sALKU667c7ltluKvN5K3A2cGAP57BG2b6K6pzliIiIiGBgrQhvDTxsezmA7Ydt3w8g6SBJ8yQtknShpA1K+QsrpJJqkqaX7HMnUY4oazgm7QBJN0u6u4srpJsA9UxtSPqkpDlltfr0hvIrJbWUleyJDeVvK6vKCyT9oZRtVuovlDRb0q6l/LTyXNPL/CZ198uTdKyk87rbLiIiImKwGjArwlTJIU6VdCfwe2Cq7RskbUh1Ju9Btu+UdBHwb8A32+rE9r2SzgeW2v46gKQTqALt/YAxVCunl7bRfFg533fDUv/Npf0hVCmW96TK5naVpANszwCOt/2opGHAHEmXUf0D5AfAAbbvkbRZ6f90YJ7twyS9mSplc1O5N4bqHOARwB2Svlcyz7V2vaSV5Xo48Kf2v9L2laB9IsCoLbbtSRcRERERa7UBsyJseykwjio4ewiYKulYYEfgHtt3lqo/pkpJ3F1X2n7e9u3AVu3UWVZSG48B3gZcVLK/HVJ+5gFzqYLWHUqbSSWZxWxgu1K+NzDD9j3l2R4tdfcDflLKrgM2lzSy3PuN7eW2HwYe7GCOb6qnYAY+3P2voWJ7su2a7domm2ze024iIiIi1loDaUUY2yuB6VTZ2RZRpROe30GTFawK9jfspPvlDdfqwlxmlW0Xo0r9s21/v7GOpAnAwcB4209Lml7mIaCtTCZtjVuv1zi/lQywv11ERETE2mbArAhL2lHSDg1FTcB9VP/1P1rS60r5B4AbyvW9VKvIAEc0tH2SVSmRezqfMVTpmh8BrgGOlzS83NtG0pbASGBJCYLHUK0EA8wCDpT0mlK/vjViBlUa5XoQ/bDtJ3ozz4iIiIho20BaVRwOnCtpU6qV3v8FJtp+RtJxwCWS1gPmAOeXNqcDP5T0n8AtDX39GrhU0ruB/+jGHOp7hKFavf1QWaW+VtIbgFnVTgmWAu8HrgZOkrQQuINqewS2Hyp7cC+XtA7VVoe3AKcBPyr1n6Za8Y6IiIiI1UB2W/9DH7FKrVZzc3Nzf08jIiIiolOSWmzXulJ3wGyNiIiIiIjoSwmEIyIiImJIGkh7hKOfPL5kBf8z9eE1Pu7bj9qi80oRERERPZQV4YiIiIgYkvosEJa0tNXnXqf0lfRKSW1leOsVSeMl/UDSBEmPl/TMd0iaIenQvh6vG/MaLWlZSf28oKR83rHcmyBpWifta5K+vWZmGxERETGwrTVbIyStZ3tFq8/3A0euhuHeRnW0GcBM24eWMZuAKyUts/2H1TBuV9xVssIh6V+B/6SLx6jZbgZyvENEREREF6yRrRGS3inplrLy+ntJW5Xy0yRNlnQtVbriYyVdIunXVGfzjpa0uNTdWdKtZbV0YT25hqRPSFpcfk4uZaMl/bGs+t4m6VpJwxqmdBDw+9bztD0fOAP4aOlnlKTLJM0pP/s2zPtCSdMl3S1pUkfjStpe0tyG72MHSS1d+Oo2AZa08X3uWVaL57W3atzeHMu99zd8l9+XtG4X5hIRERExqPRlIDysBFbzS9KJMxru3QjsbXt34BfApxrujQPebftfyufxVIkq3tyq/5OAb5XV0hrwV0njgOOAvaiytp0oafdSfwfgO7Z3Bh6jZJYraZGfs/14O88xFxhTrr8FnGN7j9L+goZ6Y4C3AnsCX5C0fnvj2r4LeLysOFPmPKWd8bcv3+FdwCeAb7RR50/AAeX7PBX4Ujt9vWSOJfHHUcC+5btcSclm10jSREnNkpqfeOKRdrqPiIiIGLj6cmvEsvp/6UO1R5gqYAXYFpgqaWvgZcA9De2usr2s4fPvbD/aRv+zgM9J2ha43PafJe0HXGH7qTLm5cD+wFXAPWWFF6AFGF2uDwGu7eA51HB9MLBTyRYHsImkemrm39heDiyX9CCwVSlvb9wLgOMkfYIqEN2znfEbt0YcBUym2srRaCTw47IqbmB92tbWHA+i+sfHnPJcw6gy272I7cllbHbYvilZVyIiImLQWVOnRpwLnGd7F+BfgQ0b7j3Vqm7rzwDYvhh4F7AMuEbSm3lx0Nra8obrlawK+t/Oqv3Bbdkd+GO5XgcYb7up/Gxj+8lO+m+v/LIy9qFAi+1HJO3VsIr+rjbmchVwQBvlZwLX2x4LvJMXf5+N2pqLgB83PNOOtk9rp31ERETEoLWmAuGRwN/KdZde/GpN0muBu21/mypA3BWYARwmaSNJGwOHAzM76EOl3fx27u8KfB74Tim6lrJfuNxvaqtdV9h+BrgG+B7wo1J2S0NAelUbzfYD7mqjvPH7PLabU/kDcKSkLQEkbSbp1d3sIyIiImLAW1OnRpwGXCLpb8Bs4DU96OMo4P2SngP+Dpxh+1FJU4BbS50LbM+TNLqdPsYB82w3/lf//pLmARtRbRGY1HBixCTgO5IWUn1XM6j2KvfUz4D30PHWjO3LHmsBzwIfbqPOV6m2RnwCuK47E7B9u6T/onoZcR3gOeAjwH3d6SciIiJioNOLY8LBrQSA/2v7F/00/inASNuf74/xe6pWq7m5OaeyRURExNpPUovtWuc116JzhNcE21/sr7ElXQFsD7Q+DSMiIiIi+sGQCoT7k+3D+3sOPfXkoyv4w8UPrbHxDvqXUWtsrIiIiBi61tTLchERERERa5UEwn1M0spyHNrikiVvo1J+cy/6nC6pS3tdutnvYZJ26ut+IyIiIgaCBMJ9b1k5Dm0s1akPJwHY3qe/JtRBCuXDgATCERERMSQlEF69ZgKvA5C0tPyeUFZ4L5X0J0k/K+cbI2mcpBsktUi6pmTiq3uvpFsl3Slp/1L/WEnn1StImiZpQn08SWdIugUYL+nLkm6XtFDS1yXtQ5Wg5GtlBXv7NfGFRERERKwt8rLcaiJpPdrPYrc7sDNwP3ATsG8JWM8F3m37oZJe+Szg+NJmPdt7SnoH8AWq9M8d2RhYbPtUSZsBPwTG2LakTW0/JukqYJrtS9uY/0RgIsCWW2zbvYePiIiIGAASCPe9YSUhBlQrwj9so86ttv8KUOqOBh4DxgK/KwvE6wIPNLS5vPxuKfU7s5IqrTPAE8AzwAWSfgNM66yx7cnAZIAdX9s0dA6bjoiIiCEjgXDfW2a7s1TMyxuuV1L9HQTcZnt8J23q9QFW8OLtLRs2XD9jeyWA7RWS9gQOAo6mShud84wjIiJiSMse4bXHHcAoSeMBJK0vaedO2twLNElaR9J2wJ5tVZI0nCqj3W+Bk4F6oP4kMKIvJh8REREx0GRFeC1h+1lJRwLfljSS6m/zTeC2DprdBNwDLAIWA3PbqTcC+JWkDalWnj9eyn8B/EDSJOBI23f1/kkiIiIiBgbZ2f4ZHavVam5ubu7vaURERER0SlKL7S7lX8jWiIiIiIgYkhIIR0RERMSQlD3C0amlj6xgxk8eWmPjHfCBUWtsrIiIiBi6siLcA5JeIekXku4q2dp+K+n13Wh/mqRTejH+BEmPS5on6Y+SvtDN9qMlLe7p+BERERGDQQLhbirpkK8Aptve3vZOwH8CW63GMdtauZ9pe3egBrxf0rgu9rVun04uIiIiYoBKINx9bwKes31+vcD2fNszASR9UtIcSQslnV6vI+lzku6Q9Htgx4byE0v9BZIuk7RRKZ8i6RuSrge+0t5kbD9FlW1u+7LSO1PS3PKzT+lrgqTrJV1MddTaCyS9tqws79EXX05ERETEQJE9wt03lirwfAlJhwA7UCW2EHCVpAOAp6gyuu1O9Z3Pbejjcts/KO2/CJwAnFvuvR44uJ4hrp0xNwf2Bs4EHgTeYvsZSTsAP6daMabMaazteySNLm13pDpL+Djb81v3HRERETGYJRDuW4eUn3nl83CqwHgEcIXtpwEkXdXQZmwJgDct9a9puHdJB0Hw/pLmAc8DX7Z9W0nEcZ6kJqpUzI37lm+1fU/D51HAr4AjbL8kaYekicBEgK0237bzJ4+IiIgYYBIId99twJHt3BNwtu3vv6hQOhloL3PJFOAw2wskHQtMaLj3VAfzmGn70FZlHwf+AexGte3lmQ76ehz4C7AvbWSvsz0ZmAww5jVNyboSERERg072CHffdcAGkk6sF0jaQ9KBVKu5x0saXsq3kbQlMAM4XNIwSSOAdzb0NwJ4QNL6wDG9nNtI4AHbzwMfADp6Me5Z4DDgg5L+pZfjRkRERAw4WRHuJtuWdDjwTUmfoVp1vRc42fafJb0BmFUdLsFS4P2250qaCswH7gNmNnT5eeCWUr6IKjDuqe8Cl0l6L3A9Ha8oY/spSYcCv5P0lO1f9WLsiIiIiAFFdv7XOzpWq9Xc3Nzc39OIiIiI6JSkFtu1zmtma0REREREDFEJhCMiIiJiSMoe4ejUU4+sYPaPH1ojY+39oVFrZJyIiIiIrAhHRERExJCUQHgNKSmWbyupl+dL2qsP+z5D0sF91V9ERETEUJCtEWuApPHAocAbbS+XtAXwsr7q3/apfdVXRERExFCRFeE1Y2vgYdvLAWw/bPt+SeMk3SCpRdI1krYGkHSipDmSFki6TNJGkkZKulfSOqXORpL+Iml9SVMkHVnKX9KnpC0ltZT7u0mypFeVz3dJ2qhfvpWIiIiIfpRAeM24FthO0p2SvivpwJJJ7lzgSNvjgAuBs0r9y23vYXs34I/ACbYfBxYAB5Y67wSusf1cfZD2+rT9ILChpE2A/YFmYH9JrwYetP106wlLmiipWVLzY08+0udfSERERER/y9aINcD2UknjqILQNwFTgS8CY6myukGVDvmB0mSspC8CmwLDqVI3U9odRZU17miqTHKNduygz5uBfYEDgC8BbwPEi7PcNc55MjAZ4A2vaUrWlYiIiBh0EgivIbZXAtOB6ZIWAR8BbrM9vo3qU4DDbC+QdCwwoZRfBZwtaTNgHHBdq3bqoM+ZVIH4q4FfAZ8GDEzr+VNFREREDFzZGrEGSNpR0g4NRU1UWx5GlRfpKHt9dy73RwAPlK0Ox9Qb2V4K3Ap8C5hWgutGd3TQ5wzg/cCfbT8PPAq8A7ipDx81IiIiYsDIivCaMRw4V9KmwArgf4GJVFsPvi1pJNXf4pvAbcDngVuA+4BFVIFx3VTgElatEr/A9rPlpbmX9Gn73rJdYkapfiOwre0lffuoEREREQOD7Gz/jI7VajU3Nzf39zQiIiIiOiWpxXatK3WzNSIiIiIihqRsjYhOPf3wClp++OAaGWvcCVuukXEiIiIisiIcEREREUNSVoR7SNJKqhfZ6g6zfW8f9j8BeNb2zeXzacBS21/vqzEiIiIihrIEwj23zHbTaux/ArCUKhFGt0laz/aKPp1RRERExCCSrRF9SNJoSTMlzS0/+5TyCZKmNdQ7ryTKQNK9kk4v9RdJGiNpNHAS8HFJ8yXt32qc7SVdLamljDemlE+R9A1J1wNfkbSZpCslLZQ0W9KuktaR9GdJo0qbdST9r6Qt1sR3FBEREbG2yIpwzw2TNL9c32P7cOBB4C22nykJNH4OdOX4jodtv1HSvwOn2P6wpPNp2Aoh6aCG+pOBk2z/WdJeVKmW31zuvR442PZKSecC82wfJunNwEW2myT9lCpRxzeBg4EFth9unJCkiVRnHfOKzbbt5lcTERERsfZLINxzbW2NWB84T1ITsJIqKO2Ky8vvFuA9HVWUNBzYB7ikJMgA2KChyiUNGef2A44AsH2dpM1Loo0LqdIsfxM4HvhR63FsT6YKuNlpdFMOm46IiIhBJ4Fw3/o48A9gN6ptJ8+U8hW8eBvKhq3aLS+/V9L532Qd4LEO9ic/1XCtNu7b9l8k/aOsEu9FQxrniIiIiKEie4T71kjgAdvPAx8A1i3l9wE7SdqgrMge1F4HDZ7kxamVAbD9BHCPpPcCqLJbO33MoAS55RSKh0t7gAuAnwK/bFhBjoiIiBgyEgj3re8CH5I0m2pbxFMAtv8C/BJYCPwMmNeFvn4NHN7Wy3JUwe0JkhYAtwHvbqeP04CapIXAl4EPNdy7ChhOG9siIiIiIoYC2dn+ORRJqgHn2G4dZL9ErVZzc3PzGphVRERERO9IarHdlcMKskd4KJL0GeDfyN7giIiIGMKyNWIIsv1l26+2fWN/zyUiIiKiv2RFODq17KEVLJz84GodY9eJW67W/iMiIiJay4pwRERERAxJCYQ7IGllObVhsaRLJG3Uzfb/ubrm1jDGBEmPl3kulPR7SVlejYiIiOhEAuGOLbPdZHss8CxwUlcalbN91wFWeyBczCzz3BWYA3xkDY0bERERMWAlEO66mcDrACR9oqwSL5Z0cikbLemPkr4LzAV+CAwrK7U/K3WulNQi6TZJE+sdSzpB0p2Spkv6gaTzSvkoSZdJmlN+9u1ogqpyLo8AlpTPe0q6WdK88nvHUj6zpIGut7tJ0q5991VFRERErP3yslwXSFoPeDtwtaRxwHFUqYkF3CLpBqrgc0fgONv/Xtq9t1Uq5ONtPyppGDBH0mXABsDngTdSZZO7DlhQ6n+L6qzfGyW9CrgGeEMbU9xf0nxgc6okHvWV6D8BB9heIelg4EvAEVRZ5Y4FTpb0emAD2wtbPfNEYCLA1ptt2+3vLCIiImJtlxXhjg0rAWYz8H9Uq7z7AVfYfsr2UuByoJ6U4j7bszvob1LJBjcb2A7YAdgTuMH2o7afAy5pqH8wcF6Zw1XAJpJeknaZVVsjtqPKFPfVUj4SuETSYuAcYOdSfglwqKT1geOBKa07tD3Zds127eXDN+/gkSIiIiIGpqwId2xZqxXd+vaD9jzV3g1JE6gC2/G2n5Y0HdiQalW5PeuU+su6POMqYL6sXJ8JXG/7cEmjgekAZfzfUaVmfh/QpewrEREREYNJVoS7bwZwmKSNJG0MHE61f7gtz5VVV6hWZ5eUIHQMsHcpvxU4UNLLyxaMIxraXwt8tP6hcV9vB/YD7moY82/l+thW9S4Avg3Msf1oF/qNiIiIGFSyItxNtudKmkIVwAJcYHteWXFtbTKwUNJcqi0IJ0laCNxBtT0C23+T9CXgFuB+4Hbg8dJ+EvCd0mY9qiC8rZMr6nuEVdp+uJR/FfixpE9Q7T1ufI4WSU9QbaWIiIiIGHJku7/nMORJGm57aVkRvgK40PYVq3nMV1JtlRhj+/mO6tZqNTc3N6/O6URERET0CUkttru07TNbI9YOp5UV3cXAPcCVq3MwSR+kWoH+XGdBcERERMRglRXh6NTYV+/mSz997WodY8y/b7Va+4+IiIihISvCERERERGd6HYgLMmS/rvh8ymSTutmHxMk7dPweYqkI7vQbmXJ1LZA0tzGPvqCpNMkndLB/e9L2rfM954ylz9J+kJDnemSen0cWfmOHi9Z4f4k6esN994l6TPttFva27EjIiIihoKerAgvB94jaYueDFheCJsA9CSIXVYSR+wGfBY4uydz6IW9KKc9AJ8sZww3AR+S9JrVMN5M27sDu1MlwNgXwPZVtr+8GsaLiIiIGDJ6EgivoDoW7OOtb0h6taQ/SFpYfr+qlE+R9A1J1wNTqY4A+3hZUa1nZTtA0s2S7u7K6jCwCVVa4/rYn5Q0p4x9ekP5lZJaJN1W0gbXy99WVpUXSPpDQ787lVXduyVNaqj/BuBO2ytbzWPD8vslyTQaV2clHVmOXUPSKEmXlfnOqQe47SkJNeYD25T2x0o6r1y/RtKs0s+ZDeOtI+m75bmnSfpt/XuVNE7SDeV7uUbS1h2NHxERETEY9XSP8HeAYySNbFV+HnCR7V2Bn1ElbKh7PXCw7SOA84FzyupuPRnF1lTJIA4F2lvtHFbfjkCVEOJMAEmHsCpdcRMwTtIBpc3xtsdRZU+bJGlzSaOAHwBHlNXl9zaMMQZ4a+nrCw0JMd4OXN1Q72vlpIe/Ar+w/WC739ZLfas8/x5UCTQu6KiypJeX55vRTl/fK339vaH8PcBoYBeqc4XHl77WB84Fjizfy4XAWW2MOVFSs6TmJUuTbyMiIiIGnx4l1LD9hKSLqBI+NKb/HU8VgAH8hCqhQ90lbaymNrqyHOV1u6T2jhB4IeWxpPHARZLGAoeUn3ml3nBWBY6TJB1eyrcr5aOAGbbvKc/TGOn9xvZyYLmkB4GtqILdtwLHNdT7pO1LJQ0H/iBpH9s3d/B8jQ6mWnmuf95E0gjbT7aqt39JprEj8GXbf+el9mVVNrqfAF8p1/tRfefPA38vq/GUvsYCvyvjrws80LpT25OpVv4Z++rdcrRIREREDDq9ySz3TWAuHWcmawygXrJ1oJXlDddqt1a9Y3tW2ac8qtQ/2/b3G+tImkAVdI4vqY2nU21lUKu5tTePlcB6kjYCNrV9fxvzWFr63Q9oHQg3jrFhw/U6ZU7L6NhM24dKej1wo6QrbM9vo15bz9LedyjgNtvjOxk7IiIiYlDr8fFpZRX1l8AJDcU3A0eX62OAG9tp/iQwoqdjA0gaQ7Wa+QhwDXB8WZ1F0jaStgRGAktKEDwG2Ls0nwUcWH/BTdJmnQz3JuD6tm6Ul//2Au5q4/Y/JL1B0jrA4Q3l1wIfbeijqaPBbd9J9WLgp9u4fRMv/s7rbgSOKHuFt6J6QRGq9M6jyoo6ktaXtHNH40dEREQMRr09R/i/gcbTIyYBx5X/zv8A8LF22v0aOLzVy3JdUd8jPJ/qpbsP2V5p+1rgYmCWpEXApVSB9tVUK7oLqfYTzwaw/RAwEbhc0oLSV0da7w+GVXuEFwKLgMvbaPcZYBpwHS/efjAJqJUX+26nenmwM+dTvVDY+nSKjwEfkTSHKvCvu4xqS8di4PtUmeQet/0scCTwlfLs8+nZCR4RERERA1oyy3WBpLnAXraf6++5dIek4WXrxubArcC+7ewz7lCtVnNzc3PfTzAiIiKij6kbmeV6s0d4yLD9xv6eQw9Nk7Qp8DLgzJ4EwRERERGDVQLhQcz2hL7oZ/mDz3H3t1dfDP3aSa9YbX1HREREtKe3e4QjIiIiIgakBMKFpG0l/UrSnyXdJelbkl5W7k2QNG01j3+GpIO7WHe0pMWtyk6TdErrvkqWvFq5vlc9TI0dERERMdgkEAZUZZa4nCqpxw5UWfCG00bGtdXF9qm2f7+29RUREf+/vfuOs6uq1z/+eQglkNCb9AgISEuAA0oJXUUsgOANiFIu1yh64UYvliuK2AsKV0TEoBCR+guKIEgTCQQCwiSkgRSFcEV6CwQIJXl+f+w1chimJidMzpzn/XrlNfusvdba6+zMJN9ZZ+31jYiBKoFwZU9gru2zAUoGvM9R7U28XHulsifvfSVFc/vrv0laTdI4ST+XdL2k+yXtJuksSX+VNK6ujzmSfixpiqTr6voaJ+mgcry9pEmSpkm6TVKf9lyu76uL80MkXVH6nylpVF/6j4iIiBgIEghXtgAm1xfYfg74P2DjurL5wLm8nrhib2Ca7SfL65WpgurPUe2VfErpe6u6pBlDgCllJ4obgK/XX7csx7gI+C/bw8s1OstAt1H7nsplP+Pe7EXcbh/gYdvDbW/Jm/dIRtJoSW2S2p6e81Qfuo6IiIhoDgmEK12lXO6s/CzgsHL877wxxfQfXG3MPAN4zPaMEjzfCQwrdebzegKPc6lSM9fbFHjE9u1QBeS2X+tkbH+3PaL9D1XCjd6aAewt6QeSRtqe3bGC7bG2a7ZrqwxdtQ9dR0RERDSHBMKVO4E3bLwsaQVgPTqkTrb9D6rUyXtSpVa+su70y+Xr/Lrj9tddbVXXMdDuKihvmJKyeTuqgPh7kk5YlNeLiIiIWBwlEK5cBywn6TAASYOo0kePs/1iJ/V/STWb+//KeuK+WIIqxTHAx4CbOpy/G1hb0vZlLMtLauh+z5LWBl60fS7wI6BZE4ZERERELLAk1ABsW9IBwOmSvkYVrP4R+EoXTS6jWhJxdhfnu/MCsIWkycBs4A0Pqtl+pTy89lNJy1KtD94bmLMA1+rKVsBJkuYDrwJHN7DviIiIiKagaklr9EXZl/cU2yMXoO0c20MXwbAWmVqt5ra2tv4eRkRERESPJE22Xeu5ZmaE+0zSl6lmUA/tqW5ERERELL6yRriPbH/f9ga2O67t7W37ppoNjoiIiBioMiMcPXrlsVd56MePNrzfdf/7bQ3vMyIiIqK3MiMcERERES0pgTAgyZJ+U/d6SUlPSLq8j/1MKA/SIemPklZq9FhL37tLmi3pjpLC+es9t3pD+2GSZi6KsUVEREQ0iwTClReALct2ZQDvAf65MB3a3tf2sws9sq5NtL0NVSKQj0varjeNyh7JERERES0vgfDrrgQ+UI4PAS5oPyFpB0mTygzsJEmblvJlJV0oabqki4Bl69rMkrSapCGSrpA0TdLMskcwkvYq/c2QdJakZerafUPSlHJus+4GbfsFYDKwUZlx/59VAAAgAElEQVTpnVjaTpG0U+lzd0nXSzqfKpvcv0jasIxj+4W8fxERERFNJYHw6y4EDpY0GNga+EvdubuBXcsM7AnAd0v50VQZ2rYGvkOVtrijfYCHbQ+3vSVwVbnGOGCU7a2oHlqsT2rxpO1tgZ8Dx3U3aEmrAu+mShP9OPCe0nYUcGpd1R2A421vXtd2U+C3wJG2b+/Q72hJbZLann7hqe6GEBEREdGUEggXtqcDw6hmg//Y4fSKwPiyrvYUYItSvitVquX29tM76XoGsLekH0gaaXs2sCnwgO17S51fl77a/a58nVzG1JmRku4ArgG+b/tOYCngTEkzgPHA5nX1b7P9QN3r1YFLgY/bntqxc9tjbdds11YZsmoXQ4iIiIhoXtk+7Y0uA34E7A7UR3/fAq63fYCkYcCEunPdpuazfW9Zv7sv8D1J15TrdOfl8nUeXf8dTbT9wQ5lnwMeA4ZT/ZIzt+7cCx3qzgb+AexMNZscERER0VIyI/xGZwHftD2jQ/mKvP7w3BF15TdSMsxJ2pJqScUbSFqbavnEuVRB9rZUSy2GSdq4VPsEcEMDxr8i8Ijt+aXP7h6MewXYHzhM0scacO2IiIiIppJAuI7th2z/pJNTP6Sazb2ZNwaXPweGSpoOfBG4rZO2WwG3SZoKHA982/Zc4Eiq5RYzgPnAGQ14C6cDh0u6FdiEN88Cv0F50O6DwOck7deA60dEREQ0DdndfrIfQa1Wc1tbW38PIyIiIqJHkibbrvWmbmaEIyIiIqIl5WG56NGrj77CIz98qCF9rfXFdRvST0RERMTCyoxwRERERLSkBMJvAUnzJE0t2eX+lfGti7qTGnTNIySdVo4/LemwcrxZGcsdkjaSdKykv0o6rxHXjYiIiGgWWRrx1njJ9ggASe8DvgfsVl9B0iDb82x3GSR3JElUDzzO766e7fodKfYHLrX99dLHZ4D3d0i2ERERETHgJRB+660APAMgaXfg68AjwAhgc0lzbA+VNJQq89vKVBnjvmr70pLQ40rgemBHYH9J76RK+zyIKj3zXvUXlHQiMAe4CxgDzJO0K3APsCFwmaSzbJ+yCN93RERExGIlgfBbY9myj/BgYC1gz7pzOwBbdjIjOxc4wPZzklYDbpXUnpFuU+BI25+RtDpwJrCr7QckrdLVIGz/UdIZwBzbPwKQtA+wh+0n6+tKGg2MBlhnpXUW8G1HRERELL6yRvit8ZLtEbY3A/YBzinLGgBu62JZgoDvlmQdfwLWAdYs5x60fWs5fjdwY3sftp9uxIBtj7Vds11bdUiXsXVERERE08qM8FvM9i1lhnf1UtRV9rdDS53tbL8qaRbVjHLHNgKSFSUiIiKijzIj/BaTtBnVWt6neqi6IvB4CYL3ADboot4twG6S3l76z/RtRERERC9kRvit0b5GGKoZ3MNtz3t9dUSnzgP+IKkNmArc3Vkl20+U9by/k7QE8DjwnsYNPSIiImJgkp1P1aN7tVrNbW1t/T2MiIiIiB5Jmmy71pu6WRoRERERES0pSyOiR68+9jKP/uj+hvT1tuM2bEg/EREREQsrM8IRERER0ZISCHdD0pqSzpd0v6TJkm6RdEA/jWV/SZv3x7UjIiIiBqIEwl0oCS9+T5WsYkPb2wEHA+suZL+DFrDp/kAC4YiIiIgGSSDctT2BV2yf0V5g+0HbP5U0SNJJkm6XNF3Sp6AKnkv5TEkzJI0q5btLul7S+cCMUvY1SXdLulbSBZKOK+UbSbqqzEBPlLSZpJ2ADwMnSZpa6oyQdGu5/iWSVpa0hqTJpZ/hkixp/fL675KWkzRO0qmSJpWZ7oPeypsaERERsbjIw3Jd2wKY0sW5o4DZtreXtAxws6RrgG2BEcBwYDXgdkk3ljY7AFvafkBSDTgQ2Ibq72AKMLnUGwt82vZ9kt4FnG57T0mXAZfbvhigpF4+xvYNkr4JfN32GEmDJa0AjATagJGSbqJKzvFi2bt4LWAXYDPgMuDijm+w7E08GmCdldZegNsXERERsXhLINxLkn5GFTy+AjwIbF03m7oi8I5y/gLb84DHJN0AbA88B9xm+4FSfxfgUtsvlb7/UL4OBXYCxtcl21imk7GsCKxk+4ZS9GtgfDmeBOwM7Ap8F9iHKonHxLoufm97PnCXpDU7e7+2x1IF5Qxfb6tsNh0REREDTgLhrt1JNWsLgO3PSlqNapb1/6hmY6+ubyBp3276e6G+ahd1lgCetT1iwYYMVAHvSKqUzJcCXwIMXF5X5+VejCUiIiJiQMsa4a79GRgs6ei6suXK16uBoyUtBSBpE0lDgBuBUWUN8epUs7K3ddL3TcCHyjKGocAHAGw/Bzwg6aOlX0kaXto8Dyxf6s0GnpE0spz7BNA+O3wj8HHgvjLr+zSwL3DzQtyLiIiIiAEngXAXXOWe3h/YTdIDkm6jWoLwJeCXwF3AFEkzgV9Qza5fAkwHplEF0l+0/Wgnfd9OtTZ3GvA7qlnm2eX0ocBRkqZRzUrvV8ovBL4g6Q5JGwGHUz08N51qXfI3S9+zSv32tck3Uc0yP7PQNyUiIiJiAFEV78VbTdJQ23MkLUcVtI623dXDef2qVqu5ra2tv4cRERER0SNJk23XelM3a4T7z9iSIGMw8OvFNQiOiIiIGKgSCPcT2x/r7zFEREREtLIEwtGjVx+by6M/vrshfb3tvzdrSD8RERERCysPy0VERERES2rpQFjSASUNcZfTlJKGlZ0hGnXNE9vTKdeVzSp7FHfX7o+SVuqhzoSSta5j+Yge9jiOiIiIaDktHQgDh1BtL3ZwZyclDVrYCzSiDwDb+9p+dgGbj6DaSzgiIiIiipYNhEsii52Bo6gLhCXtLul6SecDM0rxkpJ+LWm6pIvLlmdI2qvs6ztD0lmSlinlsySdIOkm4KN9HNfHJd0maaqkX7QH0vWzxpK+JuluSddKuqDDDPNHS/t7JY2UtDTVHsOjSp+jJO1WjqeW8S+/QDcxIiIioom1bCBMlSzjKtv3Ak9L2rbu3A7A8bY3L683Bcba3hp4DviMpMHAOGCU7a2oHjysz0I31/Yuti/s5NqfqwtEpwJrA0h6JzAK2LmkWZ5HlWDjX8rShwOBbYCPAB2XQixpewdgDPB1268AJwAX2R5h+yLgOOCz5RojgZc6DlDSaEltktqeeiG5OCIiImLgaeVA+BCqbG2Ur4fUnbvN9gN1r/9huz1F8bnALlTB8QMlkIYq69yudW0u6ubap5SgdEQJRh8u5XsB2wG3lwB5L2DDDm13AS61/ZLt54E/dDj/u/J1MjCsi+vfDJws6VhgJduvdaxge6ztmu3aqkNW7uatRERERDSnltw+TdKqwJ7AlpIMDAIs6YulygsdmnRMv2dAPVymYx+9GhpVco3/6aFOd14uX+fRxd+v7e9LuoJq3fCtkva23Zj90SIiIiKaRKvOCB8EnGN7A9vDbK8HPEA129qZ9SXtWI7bH7C7GxgmaeNS/gnghoUc13XAQZLWAJC0iqQNOtS5CfiQpMFlnfMHetHv88C/1gFL2sj2DNs/ANqAbO4bERERLadVA+FDgEs6lP0W6Crb21+BwyVNB1YBfm57LnAkMF7SDGA+cMbCDMr2XcBXgWvKta4F1upQ53bgMmAa1TKINmB2D11fD2ze/rAcMEbSTEnTqNYHX7kw446IiIhoRrI7fuofiztJQ23PKbtX3AiMtj1lUV2vVqu5ra1tUXUfERER0TCSJtt+U16FzrTkGuEBYKykzYHBVGuKF1kQHBERETFQJRBuQra7WsKxSLz62Es8evKMniv2wts+v1VD+omIiIhYWK26RjgiIiIiWlwC4T6QNEHS+zqUjZF0uqS1JV3c4OvNKlnrpku6oX4HCUmTumgzTtJBjRxHRERExECUQLhvLqAuHXNxMHCB7YdtL4oAdI+S0W4C1Y4SANjeaRFcKyIiIqJlJBDum4uBD0paBkDSMKr0yDdJGiZpZikfJOkkSbeX2dxPlfLTJX24HF8i6axyfJSkb/dw7VuAddpfSJpTvkrSaZLuKkky1qirs6+kuyXdJOlUSZeX8iGSzirju0PSfo24ORERERHNJIFwH9h+CrgN2KcUHQxc5DfvQXcUMNv29sD2wCclvZ1qq7ORpc46wObleBdgYg+X3wf4fSflB1Cle94K+CSwE4CkwcAvgPfb3gVYva7N8cCfy/j2AE6SNKS+U0mjJbVJanvqhWd6GFpERERE80kg3Hf1yyMOLq87ei9wmKSpwF+AVYF3UAW7I8vWZ3cBj0laC9gR6HTNL3C9pMeBvYHzOzm/K9XSjHm2Hwb+XMo3A+63/UDduOvH9+UyvglU27CtX9+p7bG2a7Zrqw5ZuYuhRURERDSvbJ/Wd78HTpa0LbBsF3v4CjjG9tVvOiGtTDW7eyNVlrp/A+bYfr6L6+0BvACMA74JfL6TOp1lRVE370HAgbbv6aZORERExICWGeE+sj2Hahb1LDqfDQa4Gjha0lIAkjapW3pwCzCGKhCeCBxHD8sibL9U2hwmaZUOp28EDi7rkteiCpwB7gY2LOuYAUZ1GN8xklTGt01314+IiIgYiBIIL5gLgOHAhV2c/yXV0ocp5QG6X/D67PtEYEnbfwOmUM0K97Q+GNuPlOt+tsOpS4D7gBnAz4EbSv2XgM8AV0m6CXgMmF3afAtYCphexvetnq4fERERMdDozc95xUAhaajtOWXm92fAfbZP6Ws/tVrNbW1tjR9gRERERINJmmy71pu6mREe2D5ZHoi7E1iRamY6IiIiIsjDcgNamf3t8wxwR68+9iKP/W9nzwT23Zpjtm1IPxERERELKzPCEREREdGSEgh3QtIpksbUvb5a0i/rXv9Y0lckXdzHfo+QdFojxxoRERERCyaBcOcm8XqGtiWA1YAt6s7vBFxn+6BFOQhJDV260uj+IiIiIppZAqPO3czra2u3AGYCa5VkGC8C7wSekTTT9paSjgA+DCwHbARcYvuLAJKOBP4HeAS4F3i5lK8OnMHrGd3G2L5Z0onA2sAw4ElJ1wD7A4OALYEfA0sDnyh97Wv7aUkbUe0MsXoZ4ydt3y1pHPA0sA3Vdm4nAD+lSsm8JHCi7Usbd+siIiIimkMC4U7YfljSa5LWp5r9vQVYhyoV8mxgOvBKh2YjqILNl4F7JP0UeA34BrBdaXc9cEep/xPgFNs3letcTRVgU+rvYvulEmRvWfoeDPwN+JLtbSSdAhwG/C8wFvi07fskvQs4Hdiz9LcJsLfteZK+C/zZ9r9LWgm4TdKfbL9Q/2YkjQZGA6y78tsW7EZGRERELMYSCHftZqogeCfgZKpAeCeqgHZSJ/Wvsz0bQNJdwAZUSyom2H6ilF9EFZQC7A1sXpK7AawgaflyfFlJiNHu+pKC+XlJs4E/lPIZwNaShpaxja/rb5m69uNtzyvH7wU+LOm48now1az0X+vfjO2xVME1w9fbPJtNR0RExICTQLhr7euEt6JaGvEP4L+B56jSK3f0ct3xPF6/t10FkUsAO3YIeCmB7Asd6tb3Pb/u9fxynSWAZ22P6OJa9f0JOND2PV3UjYiIiGgJeViuazcDHwSetj3P9tPASlTLI27pZR9/AXaXtKqkpYCP1p27BvjP9heSugpie2T7OeABSR8tfUnS8C6qXw0cU7LNIWmbBb1uRERERDNLINy1GVRLG27tUDbb9pO96cD2I8CJVIHzn4D6rBTHAjVJ08tSik8v5HgPBY6SNI0qk9x+XdT7FrAUMF3SzPI6IiIiouXIzvLP6F6tVnNbW1t/DyMiIiKiR5Im2671pm5mhCMiIiKiJSUQjoiIiIiWlF0jokevPvYCj/3vbQvUds0xOzR4NBERERGNkRnhiIiIiGhJLRsIS7Kk39S9XlLSE5Iub1D/4yQdtJB9TJDUq8Xefez3CEmnNbrfiIiIiGbSsoEwVZKJLSUtW16/B/hnP45ngUjK8paIiIiIBdDKgTDAlcAHyvEhwAXtJyQNkXSWpNsl3SFpv1I+TNJESVPKn51KuSSdJukuSVcAa9T1tVfpY0bpcxlJO0j6XTm/n6SXJC0tabCk++vG+HFJkyTNlLRDqX+ipLGSrgHOKW3OLv3fIWmPUq/T8nqSPiDpFkmrNfLGRkRERCzuWj0QvhA4WNJgYGuqTHDtjgf+bHt7YA/gJElDgMeB99jeFhgFnFrqHwBsSpWS+ZNU6ZkpfY8DRtneiuoBxaOpkmu0Z3UbSZXGeXvgXR3GMcT2TsBneGNq5+2A/Wx/DPgsQOn/EODX5bpdlVPGdgDwZWDfjklCJI2W1Cap7ekXnu3FrYyIiIhoLi0dCNueDgyjChL/2OH0e4EvS5oKTAAGA+tTZWU7U9IMYDyweam/K3BBScf8MPDnUr4p8IDte8vrXwO72n4N+JukdwI7ACeXPkYCE+vGcUEZ643ACpJWKuWX2X6pHO8C/KbUuxt4ENikm3KogvsvAR+w/Uwn92as7Zrt2ipDVup4OiIiIqLpZX0pXAb8CNgdWLWuXMCBtu+pryzpROAxYDjVLxJz6053lqZP3Vx7IvB+4FWqFMzjgEHAcd302f76hV5co7tr3w9sSBUYJ21cREREtJyWnhEuzgK+aXtGh/KrgWMkCUBS+zKGFYFHbM8HPkEVuALcSLXMYpCktahmXAHuBoZJ2ri8/gRwQ12bMcAttp+gCsQ3A+6sG8eocv1dgNm2Z3fyHm4EDi31NqGaub6nm3KoZoc/QrXGeItu71BERETEANTygbDth2z/pJNT36JaBjFd0szyGuB04HBJt1LNprbPzF4C3AfMAH5OCXZtzwWOBMaX5RTzgTNKm78Aa1IFrADTgem262eBn5E0qbQ5qou3cTowqPR/EXCE7Ze7KW9/7/dQBcrjJW3UzW2KiIiIGHD0xpgr4s1qtZrb2rJ6IiIiIhZ/kibb7lUehpafEY6IiIiI1pSH5aJHrz4+h8d+cnOf2635XzsvgtFERERENEZmhCMiIiKiJSUQ7iVJc97i602QVFuU15Y0RtJyi6LviIiIiMVdAuF+UlIyL/L7L2lQN6fHAAmEIyIioiUlEF4Ikj4k6S+S7pD0J0lrlvITJR1XV2+mpGHlz18lnU6VYnk9Se+VdIukKZLGSxraxbW+I2mapFvrrjNO0kF1deaUr7tLul7S+cAMSUMkXVHaz5Q0StKxwNrA9ZKuX2Q3KSIiImIxlUB44dwEvNv2NsCFwBd70WZT4JzS5gXgq8DetrelyvD2+U7aDAFutT2cas/hT/biOjsAx9veHNgHeNj2cNtbAlfZPhV4GNjD9h4dG0saLalNUtvTc57txeUiIiIimkt2jVg46wIXlUxySwMP9KLNg7ZvLcfvBjYHbi4J7JYGbumkzSvA5eV4MvCeXlznNtvt45kB/EjSD4DLbU/sqbHtscBYgOHrb5bNpiMiImLAyYzwwvkpcJrtrYBPAYNL+Wu88d4Orjt+oe5YwLW2R5Q/m9vuLHvcq3XZ5ubx+i8w/7pOSQW9dGfXsX0vsB1VQPw9SSf04T1GREREDEgJhBfOisA/y/HhdeWzgG0BJG0LvL2L9rcCO0vauNRdTtImfbj+LKoAF2A/qpTQbyJpbeBF2+cCP2ofG/A8sHwfrhcRERExYGRpRO8tJ+mhutcnAycC4yX9kyqobQ94fwscJmkqcDtwb2cd2n5C0hHABZKWKcVf7ap+J84ELpV0G3Adb5xtrrcVcJKk+cCrwNGlfCxwpaRHOlsnHBERETGQ6fVP3CM6V6vV3NbW1t/DiIiIiOiRpMm2a72pm6UREREREdGSEghHREREREvKGuHo0auPP89jp97Q53ZrHrvbIhhNRERERGNkRrgTkuZJmlqysP1B0kq9aDOpF3V+KWnzBRzT7pJu6VC2pKTHJK0l6ZuS9l6QviMiIiJaUQLhzr1U9vXdEnga+GxPDWzv1Is6/2H7rt4OQtKgupc3AutKGlZXtjcw0/Yjtk+w/afe9h0RERHR6hII9+wWYB0ASUMlXSdpiqQZkvZrryRpTvm6u6QJki6WdLek80qyC0p5rRy/V9Itpa/xkoaW8lmSTpB0E/DR9v5tzwfGA6PqxnYwcEFpN07SQeV4O0k3SJos6eoyY7yGpMnl/HBJlrR+ef13ScstmtsXERERsXhKINyNMiO7F3BZKZoLHGB7W2AP4MftQW4H2wBjqNInbwjs3KHf1aj2C9679NUGfL6uylzbu9i+sEO/F1AFv5R9h/el2rO4vu+lqDLeHWR7O+As4Du2HwcGS1oBGFmuOVLSBsDjtl/s5W2JiIiIGBDysFznli3JMIYBk4FrS7mA70raFZhPNVO8JvBoh/a32X4IoK6fm+rOv5sqSL65xNFLU808t7uos0HZvr3MSm8KvBO41fYzHaptCmwJXFv6HgQ8Us5NogrKdwW+C+xT3tPEjteSNBoYDbDuymt2NpyIiIiIppZAuHMv2R4haUXgcqo1wqcChwKrA9vZflXSLGBwJ+1frjuex5vvs4BrbR/SxfW7yhAHcCHVrPA7KcsiOun7Tts7dnJuItVs8AbApcCXAFO9xzewPZYq8xzD1980WVciIiJiwMnSiG7Yng0cCxxXlhysSLWM4FVJe1AFlAviVmBnSRsDSFpO0ia9bHsB8HFgT15fslHvHmB1STuWvpeStEU5d2Npe19Zc/w01fKKmxfwfUREREQ0rQTCPbB9BzCNahb2PKAmqY1qdvjuBezzCeAI4AJJ06kC48162fYu4EXgz7bfNHNs+xXgIOAHkqYBU4GdyrlZpdqN5etNwLOdLK+IiIiIGPBk51Pv6F6tVnNbW1t/DyMiIiKiR5Im2671pm5mhCMiIiKiJSUQjoiIiIiWlF0jokevPf4cj/+070nr1jgmGZ8jIiJi8ZUZ4YiIiIhoSQmE3yLtKZh7qDNmQVId16dujoiIiIjeSSC8eBkD9CkQLmmgIyIiIqKPEgi/xSTtXmZwL5Z0t6TzVDkWWBu4XtL1pe57Jd0iaYqk8ZKGlvJZkk6QdBPw0dL1xyVNkjRT0g6l3g6l7I7yddNSPlHSiLox3Sxp67fyPkRERET0twTC/WMbqtnfzYENgZ1tnwo8DOxhew9JqwFfBfa2vS3QBny+ro+5tnexfWF5PcT2TsBngLNK2d3Arra3AU4AvlvKf0mV0IOS0W4Z29PrByhptKQ2SW1PzZndyPceERERsVhIINw/brP9UElzPBUY1kmdd1MFyjdLmgoczhtTOl/Uof4FALZvBFaQtBJVSujxkmYCpwDtqZbHAx8saaP/HRjX8eK2x9qu2a6tOnTFBXuXEREREYuxbJ/WP16uO55H538PAq61fUgXfXRMr9wxRaCBbwHX2z5A0jBgAoDtFyVdC+wH/BuQB+0iIiKi5WRGePHyPLB8Ob4V2FnSxgCSlivLGLoyqtTbBZhtezbVjPA/y/kjOtT/JXAqcLvtpxsz/IiIiIjmkUB48TIWuFLS9bafoApeL5A0nSow3qybts9ImgScARxVyn4IfE/SzcAbdpewPRl4Dji7sW8hIiIiojnI7viJerQCSWtTLZXYrKxV7lKtVnNbW9tbMq6IiIiIhSFpsu1eLfvMjHALknQY8Bfg+J6C4IiIiIiBKg/LtSDb5wDn9Lb+a48/x+OnXdWna6zxn/v0dVgRERERb6nMCEdERERES0ogvJiQNE/S1JIZ7g9lH+AF6ecISad1ce6P7f1KmlO+Div7DEdERES0lATCi4+XbI+wvSXwNPDZRl/A9r62n210vxERERHNKIHw4ukWYB0AVU4qM8UzJLXvF3yApD+V82tJulfS20r7tSVdJek+ST9s71TSrJK6OSIiIqLl5WG5xYykQcBewK9K0UeAEcBwYDXgdkk32r5E0oFUM8f7AF+3/agkSv1tqDLY3SPpp7b/0cdxjAZGA6y78hoL/8YiIiIiFjOZEV58LCtpKvAUsApwbSnfBbjA9jzbjwE3ANuXc8cA/wO8bPuCur6usz3b9lzgLmCDvg7G9ljbNdu1VYeuuIBvKSIiImLxlUB48fGS7RFUQevSvL5GWN20WQeYD6wpqf7v8uW643lk5j8iIiLiTRIIL2ZszwaOBY6TtBRwIzBK0iBJqwO7ArdJWpIqPfLHgL8Cn++vMUdEREQ0o8wULoZs3yFpGnAwcC6wIzANMPDFshb4BGCi7YllScXtkq7ov1FHRERENBfZ7u8xxGKuVqu5ra2tv4cRERER0SNJk23XelM3SyMiIiIioiUlEI6IiIiIlpQ1wtGj1x6fzeM/u7zHemt89oNvwWgiIiIiGiMzwhERERHRkhIILwBJx0u6U9J0SVMlvWsB+9ld0k51r8dJOqgX7eaV686UNF7Scn28blItR0RERMtLINxHknYEPghsa3trYG+gT+mL6+wO7NRTpU68ZHuE7S2BV4BP97ZhSeEcERER0fISCPfdWsCTtl8GsP2k7YcBJO0l6Q5JMySdJWmZUv6vGVhJNUkTJA2jCmA/V2Z3R5b+d5U0SdL9vZkdBiYCG5e+fy9pcpmtHt1eQdIcSd+U9BeqPYnby5eVdJWkTy7kPYmIiIhoOgmE++4aYD1J90o6XdJuAJIGA+OAUba3onoQ8eiuOrE9CzgDOKXM7k4sp9YCdqGadf5+dwMp2eXeD8woRf9uezugBhwradVSPgSYaftdtm8qZUOBPwDn2z6zk75HS2qT1PbUnNndDSMiIiKiKSUQ7iPbc4DtgNHAE8BFko4ANgUesH1vqfprqnTIffV72/Nt3wWs2UWdZUs2uTbg/4BflfJjS0a6W4H1gHeU8nnAbzv0cSlwtu1zOruA7bG2a7Zrqw5dcQHeRkRERMTiLdunLQDb84AJwARJM4DDgandNHmN13/pGNxD9y/XHauLOi/ZHlFfIGl3qvXKO9p+UdKEumvNLWOudzPwfknnO+kFIyIioiMUOLcAABJUSURBVAVlRriPJG0q6R11RSOAB4G7gWGSNi7lnwBuKMezqGaRAQ6sa/s8sHyDhrYi8EwJgjcD3t1D/ROAp4DTG3T9iIiIiKaSQLjvhgK/lnSXpOnA5sCJtucCRwLjyyzxfKo1wADfAH4iaSLVMoV2fwAO6PCw3IK6CliyjOlbVMsjejIGGCzphwt57YiIiIimo3wqHj2p1Wpua2vr72FERERE9EjSZNu13tTNjHBEREREtKQ8LBc9eu3xZ3n8Z5d0em6Nzx7wFo8mIiIiojEyIxwRERERLSmBcANImtPh9RGSTuuhzYmSjivH43qZRa697QRJ90iaJulmSZv2cbx9ul5ERETEQJRAuHkdans4VeKOk3rbqGSji4iIiGh5CYQXMUkbSLpO0vTydf1u6u4l6ZK61++R9LseLnEjsHGpf4Kk2yXNlDRWkkr5BEnflXQD8F8drvmtMkOc74WIiIhoKQl+GmPZshfw1JL6+Jt1504DzrG9NXAecGo3/fwZeKek1cvrI4Gze7j2h4AZ7deyvb3tLYFlgQ/W1VvJ9m62f9xeUPYPXgM40vb8+k4ljZbUJqntqTnP9TCEiIiIiOaTQLgxXrI9ov0PVda2djsC55fj3wC7dNVJSXX8G+DjklYqba/sovp5JejeGTiulO0h6S8loceewBZ19S/q0P5rVMHxpzpLsWx7rO2a7dqqQ1foasgRERERTSvrRd96PWUwOZsq49xcYLzt17qod6jtf2W5kDSYKl1yzfY/JJ0IDK6r/0KH9rcD20laxfbTfXkDEREREQNBZoQXvUnAweX4UOCm7irbfhh4GPgqMK4P12kPep+UNBToaVeIq4DvA1dIWr4P14mIiIgYEDIjvOgdC5wl6QvAE1TrfntyHrC67bt6exHbz0o6k2q98CyqGd+e2owvQfBlkva1/VJvrxcRERHR7NTJ8tDoZ2UP4jts/6q/xwJQq9Xc1tbWc8WIiIiIfiZpsu1ab+pmRngxI2ky1Xre/+7vsUREREQMZAmEFzO2t+vvMXT02hPP8Pjp/w+ANT7zb/08moiIiIjGyMNyEREREdGSmjIQljSnj/V3l3T5Al5rjKTlujn/S0mb99DHBElvWqtSyu8pWefulnRa2T+4/fykHvr9Sg/n/1jfXyfn9+9p7BEREREDVVMGwm+xMUCngbCkQbb/oy+7O3Ti0JJ1bmvgZeDS9hO2d+qhbaeBsCpL2N7X9rPdtN8fSCAcERERLampA+Ey0ztB0sVlRvU8SSrn9illNwEfqWtzoqTj6l7PlDRM0hBJV0iaVspGSToWWBu4XtL1pf4cSd+U9Bdgx/rZXkk/L2mJ75T0jb68F9uvAF8E1pc0vP1a5etakm4sKZxnShop6fu8ntr5vPIe/irpdGAKsJ6kWZJWK30cVmaep0n6jaSdgA8DJ5U+Nlqgv4SIiIiIJjUQHpbbhiqV8MPAzcDOktqAM6nSDP+NN6cX7sw+wMO2PwAgaUXbsyV9HtjD9pOl3hBgpu0TSr36Po63/bSkQcB1kra2Pb23b8T2PEnTgM2AaXWnPgZcbfs7pe/lbE+U9J8lpTOShgGbAkfa/kz92CRtARwP7Gz7yfZscpIuAy63fXHHsUgaDYwGWHeV1Xr7FiIiIiKaRlPPCBe32X7I9nxgKjCMKpB8wPZ9rjZKPrcX/cwA9pb0A0kjbc/uot484LddnPs3SVOAO6iC8wVZdqBOym4Hjixpk7ey/XwXbR+0fWsn5XsCF7cH871JqWx7rO2a7dqqQ1fo5dAjIiIimsdACIRfrjuex+uz3F1lCnmNN77vwQC27wW2owqIvyfphC7az7U9r2OhpLcDxwF7lTW/V/B62uNeKbO9WwF/rS+3fSOwK/BP4DeSDuuiixe66pqu70dERERESxoIgXBn7gbeXrfu9ZC6c7OAbQEkbQu8vRyvDbxo+1zgR+11gOeB5XtxzRWoAtHZktYE3t+XAUtaCvge8I+OyykkbQA8bvtM4Fd1Y3u1tOvJdVSz1auW/lYp5b19bxEREREDzoAMhG3PpVrfekV5WO7ButO/BVaRNBU4Gri3lG8F3FbKjwe+XcrHAle2PyzXzTWnUS2JuBM4i2q9cm+cJ2k6MJNq/fF+ndTZHZgq6Q7gQOAndWObLum8HsZ2J/Ad4IayBvnkcupC4AuS7sjDchEREdFqVC2hjeharVZzW1tbfw8jIiIiokeSJtt+U/6GTusmEI6eSHoeuKe/xzFArAY82WOt6I3cy8bJvWyM3MfGyb1snFa8lxvYXr03FQfC9mmx6N3T29+sonuS2nIvGyP3snFyLxsj97Fxci8bJ/eyewNyjXBERERERE8SCEdERERES0ogHL0xtr8HMIDkXjZO7mXj5F42Ru5j4+ReNk7uZTfysFxEREREtKTMCEdERERES0ogHBEREREtKYFwRERERLSkBMIRERER0ZKSUCPeRNImwLrAo8AStmf285AGFElL2J7f3+OIqJfvy8bJvYxoHtk1It5A0jrAb4HngIeAucD/ARfYfrA/xxbRTtJwYAfgTuAvwHznH7M+k7QR8A7gn7ZnlDLlXvZd7mXj5Oe7cXIve5alEdHRF4Hrbb8X+AFwFbA88BlJb+vXkTUxSZtLGiXpJEmbShrc32NqVpIOBH4DbAScCfwK2EuSynn14/CahqT9qX7p3Qe4WtIFkjZp/08y97H3ci8bJz/fjZN72TsJhKOj24GVAGzfY/sy4CJgZeCY/hxYk7uE6h+jFYDzgBMkvbN/h9S0PgF8yfaXga2B6cBXgW8BZLaj144BvmJ7DLAe1SdAV0k6AXIf+yj3snHy8904uZe9kEA4OvojsL6kX0jaAcD2dOA4oCZpWD+OrSlJeh8wy/Z3bX8KOBAYDJwl6eD+HV3zqJu9mAG8X9IatufZPhk4AniXpK/32wCbhCqDqO7jhpIGl/v4BeB9wG6SDuvfUTaH3MvGyc934+Re9k0C4XgD208D/wH8HfiUpG9L2grYA9jA9qz+HF+TuhewpA9KWs72g7Y/D3wPOCa/XPRO3ezFmVS/SLxP0tol+JgFHA5sJWm5/hpjM3BlHnAxMLL8aV/Peh/wdaqPT5fux2E2hdzLxsnPd+PkXvZNdo2IN7H9iKSfUS2w3x34HXA98J/9Oa5mZfsBSecBHwBekjQVeM72ZWUN147ArP4cYzOQtASwOvBP4HTga8BuwBWSXgN2pdrl5MX+G2VzkLS07ZskDQV+IOlQ4DRJc4EPAUvZfqV/R9kcci8bIz/fjZN72TfZNSJ6VH6oBtl+tb/H0kwkDaH6ZXMD29MlHUL1sVQb1T9Q84AvAzvZfqTfBtoEJG1NNYP+MLAl8HPb55SlJTsAqwKvAF+2/VT/jXTxJmlz4HjgWWBFqvXq1wCfB94FPA+sAvyH7Sf6a5zNIPeycfLz3Ti5l32XQDhiEZH0/4DXqB6QWxkYQ7WFzRHAalQPJd5k+3f9NcZmIelqqvXrFwEbAz8BBBxl+45SZ1D5mDq6IOl6qvt4G69/Tz4DfA54rFSbb/vl/hlh88i9bJz8fDeOpGuAK8i97LUsjYhYBMp2SusCewIGDgF+D0wAPmv72f4bXXORtDLVfta32H6UKtHLdpKOBH4i6cu2J+Uf9u5JWhN4FTjb9pOl7Crgk1QzSP+TZwB6p+5entU+q5Z7uWAkrUL18z0pP98LR9KKwAvkXvZJHpaLWHTusj0XeM32ONvrAI8D35aUX0J7yfYzwKXAkarbf9n22cCFVA9yRg9sPwZMAr5dVzYXOIfqY9QP9tPQmk7dvfxxXVnu5QIoD2hfCnwyP98L7TngcnIv+ySBcMSiMQkYKmlMh9++vwqsSbWnY/RA0oaSdgOmUj388aCk+oc2BwG1fhlcE5G0taS9qD6RWFvSnZKOALA9m2rf2+37b4TNQ9KHJY2kmvmdL+kuSUdB7mVfSTqmbNP5W2Apqp/vo+uq5Oe7lyR9gWo3iMupPu1/UNK/11XJvexC1ghHNJCkJWzPL8c7AL+g+kfpGOBmqrWEE4H9bf+13wbaBCStRbXODapZtp9TPZh0NtXMxwxgL+Bjtqf2yyCbQLmPl1B9TLoy1Sb77WsHZwPXAocBB7WvIYzOSVoBuAt4ArgSGAssB5xP9XDcDVTLoHIve1CWl9wA7Gv7/lK2J9XP+d+B+4C9qX6+p/XbQJtAuZe3AnvafqCUHQWcQvXz/QDwfnIvO5VAOKKBJP0UWAb4Wvn4FEnHAp+hmtVcDri/ZKCKbkgaB9xr+7uSPgycDNRsP1tmiV8CnrL99/4c5+JO0q+AB2x/W1Wms/Wogra/Ua1jvxl41PbkfhzmYq/sDWxJ/0WVdv4pqi0RrwaGU2XlvJ/qe3JK/420OZTvy3ts/1DSlsAoYA2q7GfLUH168aLtu/tvlM1B0mhgR9tHStoR+ArVLxJrAkOoPr14LpMvncvSiIgGKTPABwHzgWskfQXA9qm2NwPOoJqN++/+G2VzkLQOsAHwGwBXqb6vAo4tVWYCKyUI7p6kdYHNqH6JAPgY1Uf3t1Cl/H7V9hUJgntWl6TgZqpPIqZQBRyHU822PWj72gTBPZP0NuAAqkANqnXrz1DNam4IrGJ7SoLgXruS6uFNgIOpHsw+DTiLajZ4RoLgriUQjmisn9j+NFXA9i5Jt0j6aDm3DbBGntjtme1/Ui0neaau+Gxg03J8FjDsLR5W07H9EPB+2y9KWh74te1v2B4PfIvqe3Tj/h1lc7HdBpxLtQXivVR7Bf8IOFrS+/tzbM2i7GiwDbCepKeB1WyfXB7q+jbVTgcb9usgm4QkUS3VWUrSFOAdwHjb99u+juo+79ifY1zcZWlERANJWtL2a+V4KaoZuMOAdYAlbSfo6KX2j6LL8VLAslRrMv8G7GD7vf05vmZXHp77ju139/dYmo2kzSi/7AITbY+RtFE+oeg7SbtQJWy6obzO9+UCKlkNvwE8DfwHsAlwXO5l9xIIRyxiZSbuYeCjtq/q7/E0M0knUyUu2NP2hH4eTtOStBzV8ogv5XtywUj6CNUvuf9m+5X6X9xiwUhaGpgMfCHfl31XssCuQ/V9+V6qddZ/bv8lIzqXQDhiESu/pR9o+yP9PZZmV2biPmH7+P4eS7OSNIjq49P32j61v8fTzCStaHt2/SdBsWDKR/zrAh+2/bP+Hk+zq9/BKLqXQDhiESuBxxDbz/X3WAaC/APfGJnBjIhIIBwRERERLSq7RkRERERES0ogHBEREREtKYFwRERERLSkBMIREfEmkj4t6bAe6hwh6bQuzs1ZROPaXdLlzdJvRCzeluzvAURExOLH9hn9PYaOJOX/rIhoqMwIR0S0AEnDJP1V0pmS7pR0jaRlJW0k6SpJkyVNLHs1I+lESceV4+0lTS8pw0+SNLOu67VL+/sk/bDDNX8saYqk6yStXspGSLq19HeJpJVL+QRJtXK8mqRZ5fgISeMl/QG4pnQ9VNLFku6WdF7ZgxZJe0m6Q9IMSWdJWqaH8n1KHzcB2ec7ogUlEI6IaB3vAH5mewvgWeBAqrTVx9jeDjgOOL2TdmcDn7a9IzCvw7kRwChgK2CUpPVK+RBgiu1tgRuAr5fyc6gy2m0NzKgr786OwOG29yyvt6HKMLg5sCGws6TBwDhglO2tqD7xPLqH8jOBDwEjgbf1YhwRMcAkEI6IaB0P2J5ajicDw4CdgPGSpgK/ANaqbyBpJWB525NK0fkd+rzO9mzbc4G7gA1K+XzgonJ8LrCLpBWBlepSvv4a2LUX477W9tN1r2+z/VBJrDK1vI9Ny/u7t0PfXZVvVsrvK4lFzu3FOCJigMl6q4iI1vFy3fE8YE3gWdsjummjPvbZ1f8rPWVveo3XJ2cGdzj3Qi+u2dU4uxt/MkpFtLjMCEdEtK7ngAckfRSqtMuShtdXsP0M8Lykd5eig3vZ9xLAQeX4Y8BNtmcDz0gaWco/QbVsAmAWsF05bm/XF3cDwyRt3KHv7srfLmmjUn7IAlwzIppcAuGIiNZ2KHCUpGnAncB+ndQ5Chgr6RaqGdbZvej3BWALSZOBPYFvlvLDgZMkTadaX9xe/iOqtbuTgNX6+ibK0owjqZZ5zKBamnFGD+WjgSvKw3IP9vWaEdH8VC2NioiI6JykobbnlOMvA2vZ/q9+HlZExELLGuGIiOjJByT9D9X/GQ8CR/TvcCIiGiMzwhERERHRkrJGOCIiIiJaUgLhiIiIiGhJCYQjIiIioiUlEI6IiIiIlpRAOCIiIiJa0v8H5kPsEadoV5YAAAAASUVORK5CYII=\n",
"text/plain": [
"<Figure size 720x1440 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# View # of listings by neighbourhood\n",
"plt.rcParams['figure.figsize'] = [10,20]\n",
"\n",
"plt.title('# of Listings')\n",
"plt.xticks(rotation=60)\n",
"sns.barplot(x = listings['neighbourhood'].value_counts(),\n",
" y = listings['neighbourhood'].value_counts().index)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"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>latitude</th>\n",
" <th>longitude</th>\n",
" <th>price</th>\n",
" <th>minimum_nights</th>\n",
" <th>number_of_reviews</th>\n",
" <th>reviews_per_month</th>\n",
" <th>calculated_host_listings_count</th>\n",
" <th>availability_365</th>\n",
" <th>minimum_nights_temp</th>\n",
" </tr>\n",
" <tr>\n",
" <th>neighbourhood</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>Adams</th>\n",
" <td>47.671825</td>\n",
" <td>-122.386322</td>\n",
" <td>138.147887</td>\n",
" <td>4.281690</td>\n",
" <td>54.521127</td>\n",
" <td>2.728203</td>\n",
" <td>2.669014</td>\n",
" <td>142.795775</td>\n",
" <td>2.542254</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Alki</th>\n",
" <td>47.575216</td>\n",
" <td>-122.406858</td>\n",
" <td>180.870000</td>\n",
" <td>2.670000</td>\n",
" <td>40.900000</td>\n",
" <td>2.930353</td>\n",
" <td>3.060000</td>\n",
" <td>167.050000</td>\n",
" <td>2.180000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Arbor Heights</th>\n",
" <td>47.510825</td>\n",
" <td>-122.379924</td>\n",
" <td>131.173913</td>\n",
" <td>2.086957</td>\n",
" <td>56.130435</td>\n",
" <td>3.297143</td>\n",
" <td>1.260870</td>\n",
" <td>110.260870</td>\n",
" <td>2.086957</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Atlantic</th>\n",
" <td>47.595275</td>\n",
" <td>-122.304397</td>\n",
" <td>117.609756</td>\n",
" <td>2.390244</td>\n",
" <td>56.317073</td>\n",
" <td>3.162609</td>\n",
" <td>3.243902</td>\n",
" <td>80.813008</td>\n",
" <td>2.056911</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Belltown</th>\n",
" <td>47.615074</td>\n",
" <td>-122.346078</td>\n",
" <td>195.643911</td>\n",
" <td>4.326568</td>\n",
" <td>40.566421</td>\n",
" <td>2.599138</td>\n",
" <td>72.691882</td>\n",
" <td>142.612546</td>\n",
" <td>2.232472</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Bitter Lake</th>\n",
" <td>47.720124</td>\n",
" <td>-122.351726</td>\n",
" <td>88.585366</td>\n",
" <td>6.634146</td>\n",
" <td>26.463415</td>\n",
" <td>2.067500</td>\n",
" <td>1.609756</td>\n",
" <td>154.268293</td>\n",
" <td>2.243902</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Briarcliff</th>\n",
" <td>47.643675</td>\n",
" <td>-122.405051</td>\n",
" <td>212.478261</td>\n",
" <td>2.608696</td>\n",
" <td>23.478261</td>\n",
" <td>1.286000</td>\n",
" <td>3.652174</td>\n",
" <td>139.347826</td>\n",
" <td>2.608696</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Brighton</th>\n",
" <td>47.539739</td>\n",
" <td>-122.277059</td>\n",
" <td>103.245614</td>\n",
" <td>1.491228</td>\n",
" <td>37.473684</td>\n",
" <td>2.596078</td>\n",
" <td>8.561404</td>\n",
" <td>108.964912</td>\n",
" <td>1.491228</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Broadview</th>\n",
" <td>47.717846</td>\n",
" <td>-122.360142</td>\n",
" <td>110.450000</td>\n",
" <td>2.275000</td>\n",
" <td>44.975000</td>\n",
" <td>2.404571</td>\n",
" <td>1.225000</td>\n",
" <td>195.825000</td>\n",
" <td>2.275000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Broadway</th>\n",
" <td>47.620953</td>\n",
" <td>-122.320762</td>\n",
" <td>138.194704</td>\n",
" <td>4.303738</td>\n",
" <td>57.289720</td>\n",
" <td>2.943924</td>\n",
" <td>22.806854</td>\n",
" <td>121.584112</td>\n",
" <td>2.302181</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Bryant</th>\n",
" <td>47.670175</td>\n",
" <td>-122.286529</td>\n",
" <td>119.272727</td>\n",
" <td>2.727273</td>\n",
" <td>32.090909</td>\n",
" <td>1.923191</td>\n",
" <td>3.727273</td>\n",
" <td>143.709091</td>\n",
" <td>2.490909</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Cedar Park</th>\n",
" <td>47.722855</td>\n",
" <td>-122.286721</td>\n",
" <td>179.727273</td>\n",
" <td>6.848485</td>\n",
" <td>20.212121</td>\n",
" <td>1.718966</td>\n",
" <td>3.212121</td>\n",
" <td>130.848485</td>\n",
" <td>2.363636</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Central Business District</th>\n",
" <td>47.608374</td>\n",
" <td>-122.336328</td>\n",
" <td>250.503676</td>\n",
" <td>4.797794</td>\n",
" <td>20.772059</td>\n",
" <td>1.498141</td>\n",
" <td>95.702206</td>\n",
" <td>188.132353</td>\n",
" <td>2.503676</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Columbia City</th>\n",
" <td>47.559685</td>\n",
" <td>-122.286081</td>\n",
" <td>133.904459</td>\n",
" <td>2.292994</td>\n",
" <td>51.878981</td>\n",
" <td>2.759789</td>\n",
" <td>1.834395</td>\n",
" <td>133.394904</td>\n",
" <td>2.178344</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Crown Hill</th>\n",
" <td>47.696858</td>\n",
" <td>-122.371444</td>\n",
" <td>107.023810</td>\n",
" <td>2.023810</td>\n",
" <td>49.523810</td>\n",
" <td>2.506944</td>\n",
" <td>1.904762</td>\n",
" <td>163.642857</td>\n",
" <td>1.952381</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Dunlap</th>\n",
" <td>47.526687</td>\n",
" <td>-122.273131</td>\n",
" <td>87.368421</td>\n",
" <td>2.710526</td>\n",
" <td>38.894737</td>\n",
" <td>2.599697</td>\n",
" <td>2.868421</td>\n",
" <td>164.605263</td>\n",
" <td>2.026316</td>\n",
" </tr>\n",
" <tr>\n",
" <th>East Queen Anne</th>\n",
" <td>47.636095</td>\n",
" <td>-122.347965</td>\n",
" <td>179.634483</td>\n",
" <td>3.710345</td>\n",
" <td>49.848276</td>\n",
" <td>2.655682</td>\n",
" <td>2.765517</td>\n",
" <td>123.296552</td>\n",
" <td>2.262069</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Eastlake</th>\n",
" <td>47.641088</td>\n",
" <td>-122.325416</td>\n",
" <td>147.564356</td>\n",
" <td>3.673267</td>\n",
" <td>32.099010</td>\n",
" <td>2.164157</td>\n",
" <td>3.287129</td>\n",
" <td>113.217822</td>\n",
" <td>2.425743</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Fairmount Park</th>\n",
" <td>47.555840</td>\n",
" <td>-122.380859</td>\n",
" <td>132.956522</td>\n",
" <td>2.869565</td>\n",
" <td>47.869565</td>\n",
" <td>2.394750</td>\n",
" <td>3.478261</td>\n",
" <td>150.478261</td>\n",
" <td>2.391304</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Fauntleroy</th>\n",
" <td>47.521155</td>\n",
" <td>-122.387104</td>\n",
" <td>181.062500</td>\n",
" <td>2.062500</td>\n",
" <td>39.062500</td>\n",
" <td>1.889355</td>\n",
" <td>1.406250</td>\n",
" <td>172.093750</td>\n",
" <td>2.062500</td>\n",
" </tr>\n",
" <tr>\n",
" <th>First Hill</th>\n",
" <td>47.610932</td>\n",
" <td>-122.326804</td>\n",
" <td>182.413249</td>\n",
" <td>7.492114</td>\n",
" <td>33.110410</td>\n",
" <td>1.830117</td>\n",
" <td>120.189274</td>\n",
" <td>152.198738</td>\n",
" <td>3.236593</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Fremont</th>\n",
" <td>47.656894</td>\n",
" <td>-122.351429</td>\n",
" <td>144.244966</td>\n",
" <td>4.567114</td>\n",
" <td>54.516779</td>\n",
" <td>2.510265</td>\n",
" <td>3.204698</td>\n",
" <td>127.224832</td>\n",
" <td>2.167785</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Gatewood</th>\n",
" <td>47.539604</td>\n",
" <td>-122.385536</td>\n",
" <td>118.339286</td>\n",
" <td>3.303571</td>\n",
" <td>41.267857</td>\n",
" <td>2.092128</td>\n",
" <td>2.553571</td>\n",
" <td>154.017857</td>\n",
" <td>2.517857</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Genesee</th>\n",
" <td>47.565657</td>\n",
" <td>-122.386001</td>\n",
" <td>133.848485</td>\n",
" <td>3.318182</td>\n",
" <td>41.787879</td>\n",
" <td>2.405968</td>\n",
" <td>2.090909</td>\n",
" <td>127.772727</td>\n",
" <td>2.227273</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Georgetown</th>\n",
" <td>47.546030</td>\n",
" <td>-122.320669</td>\n",
" <td>117.826087</td>\n",
" <td>1.782609</td>\n",
" <td>68.739130</td>\n",
" <td>4.117000</td>\n",
" <td>3.695652</td>\n",
" <td>170.652174</td>\n",
" <td>1.782609</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Green Lake</th>\n",
" <td>47.680656</td>\n",
" <td>-122.332132</td>\n",
" <td>160.625000</td>\n",
" <td>2.536765</td>\n",
" <td>42.323529</td>\n",
" <td>2.257984</td>\n",
" <td>3.713235</td>\n",
" <td>151.632353</td>\n",
" <td>2.205882</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Greenwood</th>\n",
" <td>47.694075</td>\n",
" <td>-122.354016</td>\n",
" <td>109.920398</td>\n",
" <td>2.507463</td>\n",
" <td>39.845771</td>\n",
" <td>2.252833</td>\n",
" <td>2.114428</td>\n",
" <td>122.781095</td>\n",
" <td>2.169154</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Haller Lake</th>\n",
" <td>47.721091</td>\n",
" <td>-122.334585</td>\n",
" <td>102.254545</td>\n",
" <td>2.745455</td>\n",
" <td>40.636364</td>\n",
" <td>1.916400</td>\n",
" <td>4.618182</td>\n",
" <td>114.636364</td>\n",
" <td>1.945455</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Harrison/Denny-Blaine</th>\n",
" <td>47.622597</td>\n",
" <td>-122.291258</td>\n",
" <td>330.027778</td>\n",
" <td>8.416667</td>\n",
" <td>50.361111</td>\n",
" <td>2.482069</td>\n",
" <td>2.305556</td>\n",
" <td>148.416667</td>\n",
" <td>2.638889</td>\n",
" </tr>\n",
" <tr>\n",
" <th>High Point</th>\n",
" <td>47.545940</td>\n",
" <td>-122.371315</td>\n",
" <td>93.878049</td>\n",
" <td>1.682927</td>\n",
" <td>34.975610</td>\n",
" <td>2.608889</td>\n",
" <td>1.585366</td>\n",
" <td>122.195122</td>\n",
" <td>1.682927</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",
" </tr>\n",
" <tr>\n",
" <th>Pike-Market</th>\n",
" <td>47.609928</td>\n",
" <td>-122.341437</td>\n",
" <td>236.748768</td>\n",
" <td>2.990148</td>\n",
" <td>27.216749</td>\n",
" <td>2.381268</td>\n",
" <td>107.556650</td>\n",
" <td>201.251232</td>\n",
" <td>2.167488</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Pinehurst</th>\n",
" <td>47.717593</td>\n",
" <td>-122.319125</td>\n",
" <td>90.735294</td>\n",
" <td>1.735294</td>\n",
" <td>20.647059</td>\n",
" <td>1.615357</td>\n",
" <td>3.235294</td>\n",
" <td>206.088235</td>\n",
" <td>1.735294</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Pioneer Square</th>\n",
" <td>47.600442</td>\n",
" <td>-122.333421</td>\n",
" <td>193.537313</td>\n",
" <td>1.686567</td>\n",
" <td>54.656716</td>\n",
" <td>2.781207</td>\n",
" <td>67.791045</td>\n",
" <td>141.910448</td>\n",
" <td>1.686567</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Portage Bay</th>\n",
" <td>47.647829</td>\n",
" <td>-122.320068</td>\n",
" <td>228.533333</td>\n",
" <td>8.700000</td>\n",
" <td>50.366667</td>\n",
" <td>2.111481</td>\n",
" <td>1.533333</td>\n",
" <td>185.333333</td>\n",
" <td>2.766667</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Rainier Beach</th>\n",
" <td>47.513075</td>\n",
" <td>-122.260340</td>\n",
" <td>97.142857</td>\n",
" <td>1.946429</td>\n",
" <td>37.250000</td>\n",
" <td>2.515000</td>\n",
" <td>1.625000</td>\n",
" <td>151.678571</td>\n",
" <td>1.946429</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Rainier View</th>\n",
" <td>47.502174</td>\n",
" <td>-122.263298</td>\n",
" <td>76.437500</td>\n",
" <td>1.500000</td>\n",
" <td>43.250000</td>\n",
" <td>4.755714</td>\n",
" <td>1.250000</td>\n",
" <td>145.312500</td>\n",
" <td>1.500000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Ravenna</th>\n",
" <td>47.675711</td>\n",
" <td>-122.301541</td>\n",
" <td>116.925926</td>\n",
" <td>5.296296</td>\n",
" <td>41.472222</td>\n",
" <td>2.018980</td>\n",
" <td>5.268519</td>\n",
" <td>151.129630</td>\n",
" <td>2.777778</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Riverview</th>\n",
" <td>47.545298</td>\n",
" <td>-122.355146</td>\n",
" <td>96.104167</td>\n",
" <td>3.375000</td>\n",
" <td>48.895833</td>\n",
" <td>2.717333</td>\n",
" <td>4.895833</td>\n",
" <td>124.041667</td>\n",
" <td>2.041667</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Roosevelt</th>\n",
" <td>47.680683</td>\n",
" <td>-122.315589</td>\n",
" <td>115.035714</td>\n",
" <td>2.261905</td>\n",
" <td>33.892857</td>\n",
" <td>2.263699</td>\n",
" <td>2.761905</td>\n",
" <td>137.940476</td>\n",
" <td>2.190476</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Roxhill</th>\n",
" <td>47.531221</td>\n",
" <td>-122.370670</td>\n",
" <td>117.866667</td>\n",
" <td>1.800000</td>\n",
" <td>52.466667</td>\n",
" <td>3.406154</td>\n",
" <td>1.000000</td>\n",
" <td>107.600000</td>\n",
" <td>1.800000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Seaview</th>\n",
" <td>47.551599</td>\n",
" <td>-122.393578</td>\n",
" <td>128.781250</td>\n",
" <td>2.125000</td>\n",
" <td>42.406250</td>\n",
" <td>2.507667</td>\n",
" <td>2.437500</td>\n",
" <td>119.125000</td>\n",
" <td>2.125000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Seward Park</th>\n",
" <td>47.553667</td>\n",
" <td>-122.268696</td>\n",
" <td>152.831325</td>\n",
" <td>2.951807</td>\n",
" <td>47.192771</td>\n",
" <td>2.167922</td>\n",
" <td>5.554217</td>\n",
" <td>165.132530</td>\n",
" <td>2.433735</td>\n",
" </tr>\n",
" <tr>\n",
" <th>South Beacon Hill</th>\n",
" <td>47.527429</td>\n",
" <td>-122.286680</td>\n",
" <td>86.222222</td>\n",
" <td>2.083333</td>\n",
" <td>40.750000</td>\n",
" <td>3.472647</td>\n",
" <td>2.444444</td>\n",
" <td>149.027778</td>\n",
" <td>1.888889</td>\n",
" </tr>\n",
" <tr>\n",
" <th>South Delridge</th>\n",
" <td>47.525493</td>\n",
" <td>-122.359797</td>\n",
" <td>81.613636</td>\n",
" <td>2.250000</td>\n",
" <td>46.954545</td>\n",
" <td>3.362308</td>\n",
" <td>1.500000</td>\n",
" <td>85.500000</td>\n",
" <td>2.022727</td>\n",
" </tr>\n",
" <tr>\n",
" <th>South Lake Union</th>\n",
" <td>47.621913</td>\n",
" <td>-122.335947</td>\n",
" <td>245.850000</td>\n",
" <td>4.041667</td>\n",
" <td>16.541667</td>\n",
" <td>1.601048</td>\n",
" <td>99.625000</td>\n",
" <td>146.275000</td>\n",
" <td>2.308333</td>\n",
" </tr>\n",
" <tr>\n",
" <th>South Park</th>\n",
" <td>47.526048</td>\n",
" <td>-122.322801</td>\n",
" <td>87.666667</td>\n",
" <td>1.416667</td>\n",
" <td>55.500000</td>\n",
" <td>3.705000</td>\n",
" <td>2.083333</td>\n",
" <td>166.583333</td>\n",
" <td>1.416667</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Southeast Magnolia</th>\n",
" <td>47.643995</td>\n",
" <td>-122.390031</td>\n",
" <td>145.389831</td>\n",
" <td>2.355932</td>\n",
" <td>38.474576</td>\n",
" <td>2.492727</td>\n",
" <td>2.084746</td>\n",
" <td>168.152542</td>\n",
" <td>2.271186</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Stevens</th>\n",
" <td>47.623838</td>\n",
" <td>-122.306376</td>\n",
" <td>146.151639</td>\n",
" <td>5.118852</td>\n",
" <td>35.827869</td>\n",
" <td>2.493486</td>\n",
" <td>6.946721</td>\n",
" <td>123.168033</td>\n",
" <td>2.655738</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Sunset Hill</th>\n",
" <td>47.677553</td>\n",
" <td>-122.398790</td>\n",
" <td>189.290909</td>\n",
" <td>2.527273</td>\n",
" <td>39.509091</td>\n",
" <td>2.461400</td>\n",
" <td>2.509091</td>\n",
" <td>144.454545</td>\n",
" <td>2.127273</td>\n",
" </tr>\n",
" <tr>\n",
" <th>University District</th>\n",
" <td>47.663182</td>\n",
" <td>-122.313397</td>\n",
" <td>113.242915</td>\n",
" <td>2.842105</td>\n",
" <td>25.259109</td>\n",
" <td>1.493932</td>\n",
" <td>21.991903</td>\n",
" <td>164.574899</td>\n",
" <td>2.299595</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Victory Heights</th>\n",
" <td>47.710331</td>\n",
" <td>-122.306357</td>\n",
" <td>117.743590</td>\n",
" <td>1.948718</td>\n",
" <td>36.743590</td>\n",
" <td>1.978684</td>\n",
" <td>1.897436</td>\n",
" <td>127.564103</td>\n",
" <td>1.948718</td>\n",
" </tr>\n",
" <tr>\n",
" <th>View Ridge</th>\n",
" <td>47.679692</td>\n",
" <td>-122.275277</td>\n",
" <td>124.272727</td>\n",
" <td>5.909091</td>\n",
" <td>45.454545</td>\n",
" <td>2.243889</td>\n",
" <td>1.772727</td>\n",
" <td>96.681818</td>\n",
" <td>2.909091</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Wallingford</th>\n",
" <td>47.659748</td>\n",
" <td>-122.332586</td>\n",
" <td>139.724458</td>\n",
" <td>2.897833</td>\n",
" <td>46.421053</td>\n",
" <td>2.248215</td>\n",
" <td>7.696594</td>\n",
" <td>147.467492</td>\n",
" <td>2.436533</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Wedgwood</th>\n",
" <td>47.690439</td>\n",
" <td>-122.292792</td>\n",
" <td>100.342105</td>\n",
" <td>4.921053</td>\n",
" <td>25.657895</td>\n",
" <td>2.066786</td>\n",
" <td>2.026316</td>\n",
" <td>115.184211</td>\n",
" <td>2.789474</td>\n",
" </tr>\n",
" <tr>\n",
" <th>West Queen Anne</th>\n",
" <td>47.635634</td>\n",
" <td>-122.367560</td>\n",
" <td>244.689394</td>\n",
" <td>3.462121</td>\n",
" <td>44.818182</td>\n",
" <td>2.397699</td>\n",
" <td>4.303030</td>\n",
" <td>172.750000</td>\n",
" <td>2.159091</td>\n",
" </tr>\n",
" <tr>\n",
" <th>West Woodland</th>\n",
" <td>47.668591</td>\n",
" <td>-122.366707</td>\n",
" <td>133.821429</td>\n",
" <td>5.900000</td>\n",
" <td>53.850000</td>\n",
" <td>2.306107</td>\n",
" <td>2.157143</td>\n",
" <td>117.764286</td>\n",
" <td>2.392857</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Westlake</th>\n",
" <td>47.632247</td>\n",
" <td>-122.341561</td>\n",
" <td>133.596154</td>\n",
" <td>2.048077</td>\n",
" <td>26.644231</td>\n",
" <td>1.766354</td>\n",
" <td>55.875000</td>\n",
" <td>74.557692</td>\n",
" <td>1.980769</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Whittier Heights</th>\n",
" <td>47.682033</td>\n",
" <td>-122.371607</td>\n",
" <td>130.000000</td>\n",
" <td>2.701493</td>\n",
" <td>66.253731</td>\n",
" <td>2.509516</td>\n",
" <td>1.910448</td>\n",
" <td>114.253731</td>\n",
" <td>2.313433</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Windermere</th>\n",
" <td>47.671436</td>\n",
" <td>-122.268761</td>\n",
" <td>157.545455</td>\n",
" <td>3.318182</td>\n",
" <td>25.318182</td>\n",
" <td>1.605789</td>\n",
" <td>1.318182</td>\n",
" <td>116.318182</td>\n",
" <td>3.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Yesler Terrace</th>\n",
" <td>47.604683</td>\n",
" <td>-122.319851</td>\n",
" <td>114.650000</td>\n",
" <td>1.500000</td>\n",
" <td>22.575000</td>\n",
" <td>3.074000</td>\n",
" <td>4.500000</td>\n",
" <td>102.950000</td>\n",
" <td>1.500000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>88 rows × 9 columns</p>\n",
"</div>"
],
"text/plain": [
" latitude longitude price minimum_nights \\\n",
"neighbourhood \n",
"Adams 47.671825 -122.386322 138.147887 4.281690 \n",
"Alki 47.575216 -122.406858 180.870000 2.670000 \n",
"Arbor Heights 47.510825 -122.379924 131.173913 2.086957 \n",
"Atlantic 47.595275 -122.304397 117.609756 2.390244 \n",
"Belltown 47.615074 -122.346078 195.643911 4.326568 \n",
"Bitter Lake 47.720124 -122.351726 88.585366 6.634146 \n",
"Briarcliff 47.643675 -122.405051 212.478261 2.608696 \n",
"Brighton 47.539739 -122.277059 103.245614 1.491228 \n",
"Broadview 47.717846 -122.360142 110.450000 2.275000 \n",
"Broadway 47.620953 -122.320762 138.194704 4.303738 \n",
"Bryant 47.670175 -122.286529 119.272727 2.727273 \n",
"Cedar Park 47.722855 -122.286721 179.727273 6.848485 \n",
"Central Business District 47.608374 -122.336328 250.503676 4.797794 \n",
"Columbia City 47.559685 -122.286081 133.904459 2.292994 \n",
"Crown Hill 47.696858 -122.371444 107.023810 2.023810 \n",
"Dunlap 47.526687 -122.273131 87.368421 2.710526 \n",
"East Queen Anne 47.636095 -122.347965 179.634483 3.710345 \n",
"Eastlake 47.641088 -122.325416 147.564356 3.673267 \n",
"Fairmount Park 47.555840 -122.380859 132.956522 2.869565 \n",
"Fauntleroy 47.521155 -122.387104 181.062500 2.062500 \n",
"First Hill 47.610932 -122.326804 182.413249 7.492114 \n",
"Fremont 47.656894 -122.351429 144.244966 4.567114 \n",
"Gatewood 47.539604 -122.385536 118.339286 3.303571 \n",
"Genesee 47.565657 -122.386001 133.848485 3.318182 \n",
"Georgetown 47.546030 -122.320669 117.826087 1.782609 \n",
"Green Lake 47.680656 -122.332132 160.625000 2.536765 \n",
"Greenwood 47.694075 -122.354016 109.920398 2.507463 \n",
"Haller Lake 47.721091 -122.334585 102.254545 2.745455 \n",
"Harrison/Denny-Blaine 47.622597 -122.291258 330.027778 8.416667 \n",
"High Point 47.545940 -122.371315 93.878049 1.682927 \n",
"... ... ... ... ... \n",
"Pike-Market 47.609928 -122.341437 236.748768 2.990148 \n",
"Pinehurst 47.717593 -122.319125 90.735294 1.735294 \n",
"Pioneer Square 47.600442 -122.333421 193.537313 1.686567 \n",
"Portage Bay 47.647829 -122.320068 228.533333 8.700000 \n",
"Rainier Beach 47.513075 -122.260340 97.142857 1.946429 \n",
"Rainier View 47.502174 -122.263298 76.437500 1.500000 \n",
"Ravenna 47.675711 -122.301541 116.925926 5.296296 \n",
"Riverview 47.545298 -122.355146 96.104167 3.375000 \n",
"Roosevelt 47.680683 -122.315589 115.035714 2.261905 \n",
"Roxhill 47.531221 -122.370670 117.866667 1.800000 \n",
"Seaview 47.551599 -122.393578 128.781250 2.125000 \n",
"Seward Park 47.553667 -122.268696 152.831325 2.951807 \n",
"South Beacon Hill 47.527429 -122.286680 86.222222 2.083333 \n",
"South Delridge 47.525493 -122.359797 81.613636 2.250000 \n",
"South Lake Union 47.621913 -122.335947 245.850000 4.041667 \n",
"South Park 47.526048 -122.322801 87.666667 1.416667 \n",
"Southeast Magnolia 47.643995 -122.390031 145.389831 2.355932 \n",
"Stevens 47.623838 -122.306376 146.151639 5.118852 \n",
"Sunset Hill 47.677553 -122.398790 189.290909 2.527273 \n",
"University District 47.663182 -122.313397 113.242915 2.842105 \n",
"Victory Heights 47.710331 -122.306357 117.743590 1.948718 \n",
"View Ridge 47.679692 -122.275277 124.272727 5.909091 \n",
"Wallingford 47.659748 -122.332586 139.724458 2.897833 \n",
"Wedgwood 47.690439 -122.292792 100.342105 4.921053 \n",
"West Queen Anne 47.635634 -122.367560 244.689394 3.462121 \n",
"West Woodland 47.668591 -122.366707 133.821429 5.900000 \n",
"Westlake 47.632247 -122.341561 133.596154 2.048077 \n",
"Whittier Heights 47.682033 -122.371607 130.000000 2.701493 \n",
"Windermere 47.671436 -122.268761 157.545455 3.318182 \n",
"Yesler Terrace 47.604683 -122.319851 114.650000 1.500000 \n",
"\n",
" number_of_reviews reviews_per_month \\\n",
"neighbourhood \n",
"Adams 54.521127 2.728203 \n",
"Alki 40.900000 2.930353 \n",
"Arbor Heights 56.130435 3.297143 \n",
"Atlantic 56.317073 3.162609 \n",
"Belltown 40.566421 2.599138 \n",
"Bitter Lake 26.463415 2.067500 \n",
"Briarcliff 23.478261 1.286000 \n",
"Brighton 37.473684 2.596078 \n",
"Broadview 44.975000 2.404571 \n",
"Broadway 57.289720 2.943924 \n",
"Bryant 32.090909 1.923191 \n",
"Cedar Park 20.212121 1.718966 \n",
"Central Business District 20.772059 1.498141 \n",
"Columbia City 51.878981 2.759789 \n",
"Crown Hill 49.523810 2.506944 \n",
"Dunlap 38.894737 2.599697 \n",
"East Queen Anne 49.848276 2.655682 \n",
"Eastlake 32.099010 2.164157 \n",
"Fairmount Park 47.869565 2.394750 \n",
"Fauntleroy 39.062500 1.889355 \n",
"First Hill 33.110410 1.830117 \n",
"Fremont 54.516779 2.510265 \n",
"Gatewood 41.267857 2.092128 \n",
"Genesee 41.787879 2.405968 \n",
"Georgetown 68.739130 4.117000 \n",
"Green Lake 42.323529 2.257984 \n",
"Greenwood 39.845771 2.252833 \n",
"Haller Lake 40.636364 1.916400 \n",
"Harrison/Denny-Blaine 50.361111 2.482069 \n",
"High Point 34.975610 2.608889 \n",
"... ... ... \n",
"Pike-Market 27.216749 2.381268 \n",
"Pinehurst 20.647059 1.615357 \n",
"Pioneer Square 54.656716 2.781207 \n",
"Portage Bay 50.366667 2.111481 \n",
"Rainier Beach 37.250000 2.515000 \n",
"Rainier View 43.250000 4.755714 \n",
"Ravenna 41.472222 2.018980 \n",
"Riverview 48.895833 2.717333 \n",
"Roosevelt 33.892857 2.263699 \n",
"Roxhill 52.466667 3.406154 \n",
"Seaview 42.406250 2.507667 \n",
"Seward Park 47.192771 2.167922 \n",
"South Beacon Hill 40.750000 3.472647 \n",
"South Delridge 46.954545 3.362308 \n",
"South Lake Union 16.541667 1.601048 \n",
"South Park 55.500000 3.705000 \n",
"Southeast Magnolia 38.474576 2.492727 \n",
"Stevens 35.827869 2.493486 \n",
"Sunset Hill 39.509091 2.461400 \n",
"University District 25.259109 1.493932 \n",
"Victory Heights 36.743590 1.978684 \n",
"View Ridge 45.454545 2.243889 \n",
"Wallingford 46.421053 2.248215 \n",
"Wedgwood 25.657895 2.066786 \n",
"West Queen Anne 44.818182 2.397699 \n",
"West Woodland 53.850000 2.306107 \n",
"Westlake 26.644231 1.766354 \n",
"Whittier Heights 66.253731 2.509516 \n",
"Windermere 25.318182 1.605789 \n",
"Yesler Terrace 22.575000 3.074000 \n",
"\n",
" calculated_host_listings_count availability_365 \\\n",
"neighbourhood \n",
"Adams 2.669014 142.795775 \n",
"Alki 3.060000 167.050000 \n",
"Arbor Heights 1.260870 110.260870 \n",
"Atlantic 3.243902 80.813008 \n",
"Belltown 72.691882 142.612546 \n",
"Bitter Lake 1.609756 154.268293 \n",
"Briarcliff 3.652174 139.347826 \n",
"Brighton 8.561404 108.964912 \n",
"Broadview 1.225000 195.825000 \n",
"Broadway 22.806854 121.584112 \n",
"Bryant 3.727273 143.709091 \n",
"Cedar Park 3.212121 130.848485 \n",
"Central Business District 95.702206 188.132353 \n",
"Columbia City 1.834395 133.394904 \n",
"Crown Hill 1.904762 163.642857 \n",
"Dunlap 2.868421 164.605263 \n",
"East Queen Anne 2.765517 123.296552 \n",
"Eastlake 3.287129 113.217822 \n",
"Fairmount Park 3.478261 150.478261 \n",
"Fauntleroy 1.406250 172.093750 \n",
"First Hill 120.189274 152.198738 \n",
"Fremont 3.204698 127.224832 \n",
"Gatewood 2.553571 154.017857 \n",
"Genesee 2.090909 127.772727 \n",
"Georgetown 3.695652 170.652174 \n",
"Green Lake 3.713235 151.632353 \n",
"Greenwood 2.114428 122.781095 \n",
"Haller Lake 4.618182 114.636364 \n",
"Harrison/Denny-Blaine 2.305556 148.416667 \n",
"High Point 1.585366 122.195122 \n",
"... ... ... \n",
"Pike-Market 107.556650 201.251232 \n",
"Pinehurst 3.235294 206.088235 \n",
"Pioneer Square 67.791045 141.910448 \n",
"Portage Bay 1.533333 185.333333 \n",
"Rainier Beach 1.625000 151.678571 \n",
"Rainier View 1.250000 145.312500 \n",
"Ravenna 5.268519 151.129630 \n",
"Riverview 4.895833 124.041667 \n",
"Roosevelt 2.761905 137.940476 \n",
"Roxhill 1.000000 107.600000 \n",
"Seaview 2.437500 119.125000 \n",
"Seward Park 5.554217 165.132530 \n",
"South Beacon Hill 2.444444 149.027778 \n",
"South Delridge 1.500000 85.500000 \n",
"South Lake Union 99.625000 146.275000 \n",
"South Park 2.083333 166.583333 \n",
"Southeast Magnolia 2.084746 168.152542 \n",
"Stevens 6.946721 123.168033 \n",
"Sunset Hill 2.509091 144.454545 \n",
"University District 21.991903 164.574899 \n",
"Victory Heights 1.897436 127.564103 \n",
"View Ridge 1.772727 96.681818 \n",
"Wallingford 7.696594 147.467492 \n",
"Wedgwood 2.026316 115.184211 \n",
"West Queen Anne 4.303030 172.750000 \n",
"West Woodland 2.157143 117.764286 \n",
"Westlake 55.875000 74.557692 \n",
"Whittier Heights 1.910448 114.253731 \n",
"Windermere 1.318182 116.318182 \n",
"Yesler Terrace 4.500000 102.950000 \n",
"\n",
" minimum_nights_temp \n",
"neighbourhood \n",
"Adams 2.542254 \n",
"Alki 2.180000 \n",
"Arbor Heights 2.086957 \n",
"Atlantic 2.056911 \n",
"Belltown 2.232472 \n",
"Bitter Lake 2.243902 \n",
"Briarcliff 2.608696 \n",
"Brighton 1.491228 \n",
"Broadview 2.275000 \n",
"Broadway 2.302181 \n",
"Bryant 2.490909 \n",
"Cedar Park 2.363636 \n",
"Central Business District 2.503676 \n",
"Columbia City 2.178344 \n",
"Crown Hill 1.952381 \n",
"Dunlap 2.026316 \n",
"East Queen Anne 2.262069 \n",
"Eastlake 2.425743 \n",
"Fairmount Park 2.391304 \n",
"Fauntleroy 2.062500 \n",
"First Hill 3.236593 \n",
"Fremont 2.167785 \n",
"Gatewood 2.517857 \n",
"Genesee 2.227273 \n",
"Georgetown 1.782609 \n",
"Green Lake 2.205882 \n",
"Greenwood 2.169154 \n",
"Haller Lake 1.945455 \n",
"Harrison/Denny-Blaine 2.638889 \n",
"High Point 1.682927 \n",
"... ... \n",
"Pike-Market 2.167488 \n",
"Pinehurst 1.735294 \n",
"Pioneer Square 1.686567 \n",
"Portage Bay 2.766667 \n",
"Rainier Beach 1.946429 \n",
"Rainier View 1.500000 \n",
"Ravenna 2.777778 \n",
"Riverview 2.041667 \n",
"Roosevelt 2.190476 \n",
"Roxhill 1.800000 \n",
"Seaview 2.125000 \n",
"Seward Park 2.433735 \n",
"South Beacon Hill 1.888889 \n",
"South Delridge 2.022727 \n",
"South Lake Union 2.308333 \n",
"South Park 1.416667 \n",
"Southeast Magnolia 2.271186 \n",
"Stevens 2.655738 \n",
"Sunset Hill 2.127273 \n",
"University District 2.299595 \n",
"Victory Heights 1.948718 \n",
"View Ridge 2.909091 \n",
"Wallingford 2.436533 \n",
"Wedgwood 2.789474 \n",
"West Queen Anne 2.159091 \n",
"West Woodland 2.392857 \n",
"Westlake 1.980769 \n",
"Whittier Heights 2.313433 \n",
"Windermere 3.000000 \n",
"Yesler Terrace 1.500000 \n",
"\n",
"[88 rows x 9 columns]"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Create new dataframe for the statistics on each neighbourhood\n",
"neighbourhood_averages = listings.groupby(['neighbourhood']).mean()\n",
"neighbourhood_averages"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x17541ad15f8>"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 720x1440 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# View # of listings by neighbourhood\n",
"plt.rcParams['figure.figsize'] = [10,20]\n",
"\n",
"neighbourhood_averages.sort_values('price', ascending=False, inplace=True)\n",
"plt.title('Average price')\n",
"plt.xticks(rotation=60)\n",
"sns.barplot(x = neighbourhood_averages['price'],\n",
" y = neighbourhood_averages.index)"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"C:\\Users\\mhuh22\\Anaconda3\\lib\\site-packages\\plotly\\graph_objs\\_deprecations.py:39: DeprecationWarning:\n",
"\n",
"plotly.graph_objs.Data is deprecated.\n",
"Please replace it with a list or tuple of instances of the following types\n",
" - plotly.graph_objs.Scatter\n",
" - plotly.graph_objs.Bar\n",
" - plotly.graph_objs.Area\n",
" - plotly.graph_objs.Histogram\n",
" - etc.\n",
"\n",
"\n"
]
},
{
"data": {
"application/vnd.plotly.v1+json": {
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}
],
"source": [
"# Mapbox API credentials\n",
"mapbox_access_token = 'pk.eyJ1IjoibWh1aDIyIiwiYSI6IkpGdEhkXzgifQ.Af4NVoaKw7lvlqVyak8Ydw'\n",
"\n",
"# Import the data for the map\n",
"data = go.Data([\n",
"\n",
" go.Scattermapbox(\n",
" lat = neighbourhood_averages['latitude'],\n",
" lon = neighbourhood_averages['longitude'],\n",
" mode='markers',\n",
" marker=go.scattermapbox.Marker(\n",
" size=9\n",
" ),\n",
" text = neighbourhood_averages.price,\n",
" )\n",
"])\n",
"\n",
"# Format the layout of the map\n",
"layout = go.Layout(\n",
" title = 'Airbnb Units in Seattle',\n",
" height=600,\n",
" autosize=True,\n",
" hovermode='closest',\n",
" mapbox=dict(\n",
" layers=[\n",
" dict(\n",
" sourcetype = 'geojson',\n",
" source = 'neighbourhoods.geojson',\n",
" type = 'fill',\n",
" color = 'rgba(40,0,113,0.8)'\n",
" )\n",
" ],\n",
" accesstoken=mapbox_access_token,\n",
" bearing=0,\n",
" center=dict(\n",
" lat=47.6062,\n",
" lon=-122.3321\n",
" ),\n",
" pitch=0,\n",
" zoom=9.5,\n",
" style='light',\n",
" ),\n",
")\n",
"\n",
"fig = dict(data=data, layout=layout)\n",
"py.offline.iplot(fig, filename='county-level-choropleths-python')"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
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]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Source\n",
"http://insideairbnb.com/get-the-data.html"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
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