2113 lines
986 KiB
Plaintext
2113 lines
986 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"1. Продажи домов\n",
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"2. Данные о населении \n",
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"3. Набор данных для анализа и прогнозирования сердечного приступа"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"<h4>Продажа домов</h4>"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 262,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Index(['date', 'price', 'bedrooms', 'bathrooms', 'sqft_living', 'sqft_lot',\n",
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" 'floors', 'waterfront', 'view', 'condition', 'grade', 'sqft_above',\n",
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" 'sqft_basement', 'yr_built', 'yr_renovated', 'zipcode', 'lat', 'long',\n",
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" 'sqft_living15', 'sqft_lot15'],\n",
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" dtype='object') \n",
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"\n"
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]
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}
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],
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"source": [
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"import numpy as np\n",
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"import pandas as pd \n",
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"import matplotlib.pyplot as plt\n",
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"from sklearn.model_selection import train_test_split\n",
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"\n",
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"\n",
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"df = pd.read_csv(\"..//static//csv//House.csv\", index_col=\"id\")\n",
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"\n",
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"print(df.columns, \"\\n\")"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Столбцы для русских:<br>\n",
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"<br>\n",
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"<span style=\"color: #189FFF;\">id:</span> Идентификатор объекта<br>\n",
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"<span style=\"color: #189FFF;\">date:</span> Дата продажи<br>\n",
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"<span style=\"color: #189FFF;\">price:</span> Цена недвижимости<br>\n",
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"<span style=\"color: #189FFF;\">bedrooms:</span> Количество спален<br>\n",
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"<span style=\"color: #189FFF;\">bathrooms:</span> Количество ванных комнат<br>\n",
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"<span style=\"color: #189FFF;\">sqft_living:</span> Жилая площадь<br>\n",
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"<span style=\"color: #189FFF;\">sqft_lot:</span> Площадь участка<br>\n",
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"<span style=\"color: #189FFF;\">floors:</span> Количество этажей<br>\n",
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"<span style=\"color: #189FFF;\">waterfront:</span> Признак наличия вида на водоем<br>\n",
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"<span style=\"color: #189FFF;\">view:</span> Оценка вида<br>\n",
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"<span style=\"color: #189FFF;\">condition:</span> Состояние дома<br>\n",
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"<span style=\"color: #189FFF;\">grade:</span> Оценка конструкции<br>\n",
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"<span style=\"color: #189FFF;\">sqft_above:</span> Площадь надземных помещений<br>\n",
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"<span style=\"color: #189FFF;\">sqft_basement:</span> Площадь подвала<br>\n",
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"<span style=\"color: #189FFF;\">yr_built:</span> Год постройки<br>\n",
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"<span style=\"color: #189FFF;\">yr_renovated:</span> Год последнего ремонта<br>\n",
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"<span style=\"color: #189FFF;\">zipcode:</span> Почтовый индекс<br>\n",
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"<span style=\"color: #189FFF;\">lat:</span> Широта<br>\n",
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"<span style=\"color: #189FFF;\">long:</span> Долгота<br>\n",
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"<span style=\"color: #189FFF;\">sqft_living15:</span> Жилая площадь соседних домов<br>\n",
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"<span style=\"color: #189FFF;\">sqft_lot15:</span> Площадь участка соседних домов<br>\n",
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"<br>\n",
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"Проблемная область: Прогнозирование стоимости недвижимости в зависимости от характеристик дома.<br>"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 263,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"<bound method DataFrame.info of date price bedrooms bathrooms sqft_living \\\n",
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"id \n",
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"7129300520 20141013T000000 221900.0 3 1.00 1180 \n",
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"6414100192 20141209T000000 538000.0 3 2.25 2570 \n",
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"5631500400 20150225T000000 180000.0 2 1.00 770 \n",
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"2487200875 20141209T000000 604000.0 4 3.00 1960 \n",
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"1954400510 20150218T000000 510000.0 3 2.00 1680 \n",
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"... ... ... ... ... ... \n",
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"263000018 20140521T000000 360000.0 3 2.50 1530 \n",
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"6600060120 20150223T000000 400000.0 4 2.50 2310 \n",
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"1523300141 20140623T000000 402101.0 2 0.75 1020 \n",
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"291310100 20150116T000000 400000.0 3 2.50 1600 \n",
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"1523300157 20141015T000000 325000.0 2 0.75 1020 \n",
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"\n",
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" sqft_lot floors waterfront view condition grade sqft_above \\\n",
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"id \n",
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"7129300520 5650 1.0 0 0 3 7 1180 \n",
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"6414100192 7242 2.0 0 0 3 7 2170 \n",
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"5631500400 10000 1.0 0 0 3 6 770 \n",
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"2487200875 5000 1.0 0 0 5 7 1050 \n",
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"1954400510 8080 1.0 0 0 3 8 1680 \n",
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"... ... ... ... ... ... ... ... \n",
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"263000018 1131 3.0 0 0 3 8 1530 \n",
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"6600060120 5813 2.0 0 0 3 8 2310 \n",
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"1523300141 1350 2.0 0 0 3 7 1020 \n",
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"291310100 2388 2.0 0 0 3 8 1600 \n",
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"1523300157 1076 2.0 0 0 3 7 1020 \n",
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"\n",
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" sqft_basement yr_built yr_renovated zipcode lat long \\\n",
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"id \n",
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"7129300520 0 1955 0 98178 47.5112 -122.257 \n",
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"6414100192 400 1951 1991 98125 47.7210 -122.319 \n",
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"5631500400 0 1933 0 98028 47.7379 -122.233 \n",
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"2487200875 910 1965 0 98136 47.5208 -122.393 \n",
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"1954400510 0 1987 0 98074 47.6168 -122.045 \n",
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"... ... ... ... ... ... ... \n",
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"263000018 0 2009 0 98103 47.6993 -122.346 \n",
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"6600060120 0 2014 0 98146 47.5107 -122.362 \n",
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"1523300141 0 2009 0 98144 47.5944 -122.299 \n",
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"291310100 0 2004 0 98027 47.5345 -122.069 \n",
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"1523300157 0 2008 0 98144 47.5941 -122.299 \n",
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"\n",
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" sqft_living15 sqft_lot15 \n",
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"id \n",
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"7129300520 1340 5650 \n",
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"6414100192 1690 7639 \n",
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"5631500400 2720 8062 \n",
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"2487200875 1360 5000 \n",
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"1954400510 1800 7503 \n",
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"... ... ... \n",
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"263000018 1530 1509 \n",
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"6600060120 1830 7200 \n",
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"1523300141 1020 2007 \n",
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"291310100 1410 1287 \n",
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"1523300157 1020 1357 \n",
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"\n",
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"[21613 rows x 20 columns]> \n",
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"\n"
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]
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}
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],
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"source": [
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"print(df.info, \"\\n\")"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Объектом наблюдения является - Недвижимость<br>\n",
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"Атрибуты - содержит набор информации о продаже дома, такие как:<br>\n",
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"цену продажи, дата продажи, количество спален, ванных комнат, общую площадь дома, площадь участка, местоположение.\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 264,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1000x600 with 2 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"plt.figure(figsize=(10, 6))\n",
|
||
"\n",
|
||
"plt.scatter(df['sqft_living'], df['price'], c=df['price'], alpha=0.6)\n",
|
||
"plt.colorbar(label='Price')\n",
|
||
"\n",
|
||
"plt.title(\"Номер 1\")\n",
|
||
"plt.ylabel(\"Price\")\n",
|
||
"plt.xlabel(\"Living Area\")\n",
|
||
"plt.grid(visible='true')\n",
|
||
"\n",
|
||
"plt.show()\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 265,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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qxVUAgI7+3MyOxlt+b1EH5Q1zpV3GNZRb4TfWAUBuDmskIiIioumLQT1lpbdP92HcI6Palo9L5pUDiD+oz5bhZvGW32uZevbUZ1y1zYzNG5YH3JaLwxqJiIiIaPpiUE9ZSZTer20qw5wSJYCKp/x+6642rNvyAm56cAfWbXkBW3e1peU6YyEy9cWxlt+bRE89g/pssHF1nTa8cHF1EYfkEREREVFWYVBPWekNEdQ3lqFWDeo7Y8zUZ9NwM1mWtZV2pfFOv+egvKwwOu6BU22F4JwDIiIiIso2GQ3qH3jgAaxYsQJFRUUoKirC2rVr8fTTT0d8zP3334+FCxfCbDajtrYWX/3qVzE6OjpFV0xTYWh0HAc7HQCUTH1NsdK/POSegMM1HvXx2TTcbNg9oa3li3v6Pcvvs0LPsFv7/6KVgoiIiIgoW2R0T/2cOXOwZcsWzJ8/H7Is43e/+x1uvPFG7N27F0uXLp10/0ceeQR33HEHfv3rX+OSSy7B8ePH8alPfQqSJOHHP/5xBr6C6cfucKGlx4mGcmvG+oZ3tfbB45VRV2rBnBIloC8vMKJneAwd/SOwmW0RHy+Gm/kH9pkabtbvVA4h8vN0yM/Tx/QYqxrUM1OfHXqGfYH84OgEJjxeGPQsciIiIiKi7JDRoP6GG24I+Pj73/8+HnjgAbz11lshg/o33ngD69atw0033QQAqK+vx8c//nHs2LFjSq53utu6q00rW9dJwOYNyzPSPyz66S9pKtNuqymxqEG9C0tnRw7qq21mfPfGZfjm44e0277/wcwMNxPr7EpjzNIDgEUtvx9mpj4rdA+5Az52uMZRVmDK0NUQEREREQXKmnSTx+PBo48+CqfTibVr14a8zyWXXILdu3dj586dAIDm5mY89dRTuP7668M+r9vtxuDgYMB/NFk29aG/2ewbkifMKRbD8mK7nosaSwM+XqdO0J9qIqgvjiOo98/Uy7Ic5d6Ubv7l94Bv8CERERERUTbIaKYeAA4ePIi1a9didHQUBQUFeOyxx7BkyZKQ973pppvQ09ODd73rXZBlGRMTE7jttttw5513hn3+zZs34zvf+U66Ln/aiNSHPpUZ7oGRMRw+oxy8rG30C+rjnIDf3O0M+PiofRC1pRkov1eD+hJrbJPvAd+gPI9XhnvCG3PZPqVHT1CmXgw+JCIiIiLKBhnP1C9cuBD79u3Djh078IUvfAG33HILjhw5EvK+L730Eu655x784he/wJ49e7Bt2zY8+eST+O53vxv2+Tdt2gSHw6H9197enq4vJac1lFshSYG36SRMeR/6jpY+yDLQVGFFZVG+dvucOCfgt/QEB/VDqbvIOIie+ngy9WJQHsC++mzATD0RERERZbOMZ+qNRiPmzZsHAFi1ahV27dqFn/zkJ/jlL3856b533XUXPvnJT+Jzn/scAGD58uVwOp34/Oc/j29+85vQ6SafUZhMJphM7H+Nptpmxm3rG/HAy83abRfWl055H7qvnz6wXF4MzIu1/F4E9cWWPAyMjOOoPTNtFwMJ9NTrdRLy83QYHffC6Z6IeRUepUf3pKCemXoiIiIiyh4Zz9QH83q9cLvdIT83MjIyKXDX65XSZPYeJ2+NWu6en6f8He8+3Y9T3cNTeg0iqPfvpwcSL7+/ZkkVAOBoV2aC+j5Rfm+Jvfwe4AT8bNIzpHwPTQbl54Ll90RERESUTTIa1G/atAmvvPIKWltbcfDgQWzatAkvvfQSPvGJTwAAbr75ZmzatEm7/w033IAHHngAjz76KFpaWvDss8/irrvuwg033KAF95S44VFl2vrKOcW4anElPF4Z9/79nSn783uG3XjnrFImf3FjYFBfowb1g6Ox7apvVjP11y+vBgCc7h3JyDR5UaodT/k94JuA7xzjBPxME+X3TRUFAFh+T0RERETZJaPl9+fOncPNN98Mu90Om82GFStWYPv27bj66qsBAG1tbQGZ+W9961uQJAnf+ta30NnZiYqKCtxwww34/ve/n6kvYVpxqkFvYb4B/3rtIjx/7ByeOtiFfe0DOK+2OO1//lvq1PtFswonlZxbjAaUWo3oc46hs98Fmzl85ntwdFwLxFbNLUFVkQlnB904Zh/EhfWlYR+XDlr5fZwl9CJT75yma+3sDhdaepxoKLdmZNVgPMRKu/lVBThiH2SmnoiIiIiySkaD+oceeiji51966aWAjw0GA+6++27cfffdabyqmUtksq0mAxbOKsSG8+fgz3s68IOnj+GRWy+CFDxJL8XeCFN6L8wpMaPPOYaO/hEsmV0U9nla1Sx9RaEJhfl5WFxdhLOD3TiagaC+TxuUF2f5vUkE9dOv/H7rrjZtfaJOAjZvWI6Nq+syfVkhjY57MKT+XMyvVDP1TmbqiYiIiCh7ZF1PPWWOCOoL1IDyq1fPh1Gvw5vNvXjlRE/a//y3wgzJE7QJ+AORh+WJfvqGcisAYHG1cgBwJAMT8Ae0nvo4y++NSvn9yDQrv7c7XFpADwBeGbhz2yHYHbENQIzl+d841ZOy5xMVH0a9TluJyEF5RERERJRNGNSTRvTUF+QrQf2cEgtuXjsXAPCDp4/BG7zIPoW6HKNo7nFCJwFrGkJn02OdgC/66RuDgvpMTMDvT7b8fpoNymvpcSL4n5FHltHaE9sAxEi27mrDui0v4KYHd2DdlhewdVdb0s/ZM6x8/8oLjNr3cIA99URERESURRjUk0bL1PvtSf/i5fNQaDLgiH0QfztwJm1/9pvNSiXAshpb2H75WCfgi3V2jRVKUL+kuhAA8E7XEDxpPJgI5hrzYHTcCyD+8nsxKG9kmvXUN5RboQvq4tBLQH25JannTVcFgOinLy80adUWzNQTERERUTZhUE8aLajP9wX1JVYj/vHSRgDAD545hleOd6estNmftsquMXQ/PQDUFIugPvKf39KjrOFrKC/Q/jc/TwfXuAene52puNyYiODPoJO0loZYTddMfbXNjLvetyTgti9cNi/pYXnpqgAQ5fcVBSbtYGZgZJwrNImIiIgoazCoJ43/oDx/n3lXAwpMBpwZGMXNv96ZstJmf9GG5AGxld/LsoyWoJ56vU7CwiolW390CvvqRVBfYjXGPWRQW2k3zTL1ACZtUhj3eJN+zoZyK4L/ivWSlHQFQI/I1Bf4MvVjHi9GptlhCxERERHlLgb1pNFW2gUF9Q7XeEBwmerhZrtP96Gj3wW9BKyOMJ1e7Kp3uMYxNBq6r/nckBvOMQ/0Ogl1pb6ALhN99WJKekmcpfeArwViug3KA3ztEUa98vLz1CF70pnvapsZ6+dXBNx2z4ZlSVcAdA+L8nsjLEa9ds0swSciIiKibMGgnjRDo5PL7wElCAsOuVI53OzDD7ypPifwRIS+/QKTQQuQw03AF5Pva0vMMBp8/7wzEtSrgV9xnJPvAcAyjVfaie/R+1ZUIz9Ph/Y+Fw6fSe77IssyTnUPax8bdMCGC+Yk9ZyAr/y+vMAESZICSvCJiFIh1Vs7iIho5mFQT5pw5fehh5slX9oshpv5HxhEqwDQSvD7Qt9HZIFF6b2QiaBerLMrTSCot07TlXYA0KzOPFgyuwiXL6wEADx10J7Ucx7ocKCj3wVznh75eTpMeIH2vuQPnXqGlO9hRaEJADgsj4hSKh1bO4iIaOZhUE+acOX31TYzNm9YHtCznIrS5kSGm/mG5YW+T3N34JA8YZE6Af+MY1QLttOtX83mlljjL7+fCZn6xgorrlteDUAJ6pMpwX9SPRS4cnElmiqU7/2p7uSHIvpn6gHfFoN+ZuqJKEnp2tpBREQzD4N60oTL1APAxtV1+OnHzgMA1BTnY+PquqT/vEQqAHxr7aJk6isCM/VF+XnaY6dqWF6fM/Hy++maqfd6ZbSqGwgaywtwxaJKmAw6tPaO4FhXYt8XWZbx5AElqH/fimq/oH440sNi0j0UGNSLTP1UHQwR0fSVrq0dREQ08zCoJwCAe8KDcY/y7iK4p15Y21QOQMl2u1Iw/bvaZsam6xZrH+uk6BUAsQb1TUHl98DUl+AnU35vUQflDU+z6fdnHC6MjnuRp5cwp8SMApMBly5QBtw9nWAJ/t72AXQOuGA16nHZQr9M/bnkgvrRcQ+G1L9/rfxerboQQxCJiBLVUG5F8F6UVLS2ERHRzMOgngAAw6O+4FHsSA9WZjWixJIHWU5NFhQAltXYAABVRSa8fscVUSsARE99qEF54x4v2tQ+6uBMPTD1Qb0o0S5OZPq9SUy/n17l9+LQpa7UAoM6Sf56tQT/yQRL8EWW/qolVcjP06OpUvneJ/tvVJTeG/U6FKkHXcXsqSeiFKm2mbGmwbfxJZaDbSIiolAY1BMAX0bYYtRDH1wTr5IkCfMrld70k0lmQQUR5C2uLorpjcyc0vA99R39Lkx4ZZjz9KgqzJ/0+SVqX/3RrqkK6tU99QlNv5+ee+p9/fS+mQdXLK6EUa/DqW4nTsT578rrlbUhe+9VDwf8e+qT6dP3ld4bIakDJUq06fcM6okoef6vUP9x47KUtLYREdHMw6CeAPiC+oIQ/fT+5lcpAdPxs6npSxeD7RqDBtuFIwbl9Y+MTypNF89VX26FLsTBhMjUH+8axrjHm/A1x0oL6q2J9NT7MvXJ7nDPJtr326+Soig/D++er7R2xDsFf297P+yOURSYDFivlvE3lFshSYDDNa7NNUhEz3Dg5HvAP1PP8nsiSl6zX0WRw8XXFSIiSgyDegLgK7+PGtRXKsF3vBnVcESmvjFEuXwohfl5sJnVXfVBffXRnqu2xAKrUY8xj1fLGKfTgNp3XZJA+b3I1E94ZYxNwQHEVGkW36OgmQdiCv7TB7vier4n1NL7q9XSewDIz9Nrhz/JTMAPnnwPcFAeEaXOwMiYdngIAK096f+9RERE0xODegIAONUp6+GG5Anzq1Jbfh8uyIvENywvsAQ/2nPpdBIWTVFf/diEVxuyllD5vRqgAsDINFprF6r8HgCuXlyFPL2Ed84Oxfxvy7/0/n0rqgM+l4oJ+MGT7wHfAQ0z9USUrODXutO9nHpPRESJYVBPAIChWDP1avn96V4nRseTCzb9B9sFB3mRiKA+eFheixowNkQ4IFgs+urTHNQPuJTsi04CiszxZ+oNeh1MBuXHc7pMwB8d9+CMun85+ODFZsnDunlKCf4zh2IrwX/7dD/ODrpRmG/Au9TyfSEVE/C1TH2h71CGg/KIKFVEUC8OC8W6TyIiongxqCcAkXfU+6soMMFmzoNXRtIl7G19I/B4ZViMelQVmaI/QCUm4AevtWvuUd4gRQ7qlUz9kXQH9Wom12bOCzt4MBrrNJuA39rrhCwDRfkGlIaYM3D9MiXb/lSMJfhPHjgDALhmySyYDPqAz6ViAr4I6itCZOqHRiemZC4DEU1f4vXp8oWVAIBzQ26MjE2PQ1wiIppaDOoJgG/KemGUoF6SJCyoEn31yQ3L88+si+nisRD90v7l9073BM4OKkFYpKF7vrV2qRn0F44Y0JZI6b1gFRPwp8mbPP/S+1Df76uXVEGvk3DEPhi1t9TjlfHUISX4Dy69BwIn4CeqZ0j5Hpb7Dcqz+VVdDLAEn4iSIDL1F8wt0VaftvawBJ+IiOLHoJ4A+A3Ki9JTDwDz1LV2J84m11cfS2Y9FF9PvS9TL4bklVmNsEUYTLdoViEkScnCip7pdBCD1BLZUS9oE/CnSU99qMn3/kqsRlzSVAYAeCpKCf7Olj50D7lhM/vK9v2JoL69fyThNpHuEIPyDH476zksj4iScVJ9TZxXWYC5Zcrr4mmW4BMRUQIY1BMAYFgNHKOV3wP+E/CTy3aHG5oWTajyexHURzsgsBgNqFffPKWzr14MUgtVZh4ri3GaZepjGIp43bLYpuA/eVApvb92aRWMhskvY+UFRhTlGyDLifep9qiHPv4r7QDfikIOyyOiRI2Oe7TfYfMqC9BQpvxea+WwPCIiSgCDegIADLuVACXaoDwAWFCVqkx9/JPvAaBGzdT3Oce0/sPmGIbkCVMxLE+U3xcnVX4veuqnSVAfwyHOtUuroJOAg50O/GVvJ+wO16T7THi8eEYtvX/vitkhn0eSJDSph0+JzH4YHfdo2wv8M/UAh+URUfKau5UZIzZzHsqsRmbqiYgoKQzqCYBvUF4sQb2YgN/a64R7IvHScF+QF19QbzPnaSXQYld9S48o7Y6e9V88K/1r7URpdiI76gUtUz8Nyu9lWY5afg8AZQUm7WDm9q37cMmWF/A/b54OuM/Th+zoGR5DUb5BK9cPRcxWSGQCvmjNMPqV2wvie8ryeyJKlH/pvSRJqC8XmXoG9UREFL/oERzNCKL8PpagvrLQhMJ8A4ZGJ9DS48QiNUiOx+DouDZdPN6eegCoKbFg0D6Ijn4X5lcVxlx+DwBLZqd/WJ4ozS5Jovxe9NQ7p8FKu17nGAZHJyBJ0NofQrE7XAGZdVkG7vrLITz46iksn1OMiQkvth85CwAYHJ3Atj0d2Li6LuRzJTMBX1tnV2CcNNSv1MLyeyJKjhiSN089iBaZeg7KIyKiRDBTTwCA4VG1/D6GQXnKBHylhP14giX4YvJ9RaEJhfnxZ7N9w/JGlCxwT+xZfzEB/1T3cFKVBpH0p2T6vRrUZ/FKO7vDhTdO9YQsk/cnDl1m28zIz9NHvJ8c4va2PheePGDXAnrhzm2Hwv7ZyUzA7xlWvn/B/fQAy++JKHnisFEcPorDzq7BUbiy+DWfiIiyE4N6AuAr8Y4lUw/4huWdPJtYtjuezHoo/hPwe4bHMKRmgetKLVEfW23Lh82chwmvnPRcgHD6U1F+r660G8nSTP3WXW1Yt+UF3PTgDqzb8gK27moLe99YSu8B5d+DLmjbnU4C7t94Hm5aUzvp/h5ZDpvZ8gX1w5DlUEcF4fWEmHwvaOX3TmbqiSgxoi1onvq7tMTiaytr62O2noiI4sOgngDE11MP+N6InEigXxnwBXlNcfbTC/4T8MUBwZySyFlgQZIkbVje3/afiZplDhZLdlrsME8qU2/M3ky93eHCHdsOwqvGyl45ctZcm58Q5RCn2mbG5g3LoVdL3vWShM0bluMD59fgy1fOnxTw6/16UYPNLbPAoJMwMuZB1+BoHF+dr6c+VFBfbGWmPhGxVnUQTXcer6+6bF6F8rtI6atXS/DZV09ERHFiTz0BAIbU8vtYVtoB8Cu/TyxT35yqTP2ASxuS11Ae+2o8vRod/vKVZjz4ajM2b1getjfb39ZdbdikBrM6CWEfp2XqU7DSLhun37f0KJOb/YmsebXNPOn+vvaI6N+jjavrsH5BBVp7RlBfbtGeTwT8d247BI8sQy9JuGfDspB/HgDk6XWoK7OguduJU+ecYe8XisjUhyq/9w3KY6Y+VrH+3BBlM7tDOURuKLfG9XoSrKN/BGMTXhgNOm2bC6D01R/ocHACPhERxY1BPUGWZS0bXBhDTz3gPwHf9+YkHr7MbXw76oWaYuWNUGf/SNyr8ewOF9442at9LLLM6xdURHyjZne4tMAk0uM8XhkDLiXgK06i/F7rqc/C6fehDmMiZc1jLb8Xqm3mkN+LcAF/OE0VBWjudqK5Zxjvml8e058NBA7KC1bCnvq4xPpzQ5TNtu5qwx3bDkJOwcGUGJLXWG7VDpgBoF7dVd/CYXlERBQnlt8TRse98KjvuGMtv59VlI9CkwEerxx3qaAsy1rJfLzr7IRatfy+Z3gMR84oq+lizfqHGsYWqTfb/3HeMNlpf4OucS2LnUz5vW+lXfRM/VSXNlfbzFg8q1D7WALCZs0nPF6tRzTRyozgP3ttU1lMAaHWVx9nm4hWfh9yUJ5yUMPp97GJ9eeGKFuJdiM5xnajaE4G9dML3FVPRESJYlBPGHIrwYkk+QLJaCRJwjw1Wx9vCX7X4Chc4x4YdBJqYxhsF0qR2YBC9QBiZ0sfgNgPCEINY4uUZfZ/XNB2M0jApMeJDG6hyYA8feI/YuKAJVr5fTwD61LJf9VbidWIj6yaPMgOUOYejHtk5OfpMHuKM7Pi30S8E/C16fchB+UpBzUDI2NxD+CbiRL9eSPKFpHajRIRLqhvUH8mTvfywIuIiOLDoJ58k++Nhkk7uSMRE/DjnSAvSu/rSi0JB72SJGm9iO4JL4DYs8CiN9v/S43Um+3/uGU1toDbrCYDSoP65kVQX2xNvPQeACwxDMoLV9o8FRl7/+Fzfc4x7G3vD3m/ZnXmQX2ZFbrg6C7N/Cfgx6MnQqZeBPUTXlkbMEnhVdvM+NLl87SPI1V1EGWjhnIrgl+5kjmY0tbZVYTO1J9xuDA6nn1tV0RElL0Y1BOGR5XAJNYheYIYlncyztLmZIfkCWICPgAYDfFlgTeursNTX3k3xJnCytriqI8ZHB3H8S6lKuG7Ny5FZaEJw+4JPL63M+B+/eqqs9IkSu8BwBrDSrtMlTaPjnvQ51QOLy5dUAEAeOZQV8j7avMTEmy1SIbYrmB3jMYcgI+OezCk3jfU9HuzUQ+TOkOCw/JiU+/3s37t0lkckkc5pdpmxvI5gQe63/3A0oQOpmRZDpupL7MaUWAyQJaVYXpERESxYlBPvnV2MQ7JE8QbknjL7+MdmhbOHL+pwQ0JZIEXVxfhykVVAIDH9nRGubcStLonvJhXWYB/uHguPr++EYAyQd/rF1lrmfokg/pYMvWZKm0+N6hksk0GHT62Wim7f+ZwV8hydN8gw8SGIiaj2GLUht21xFiCL/rpjXqdtjc6GIflxee4XzWPe4IZSMo9wb9dKgrzE3qe7mE3BkcnIEmTD7YlScJcdVgeZ04QEVE8GNRT3Dvqhflqpr6lx4lxjzfmx7Vomfrkgjz/oD7RA4INF8wBADy+r1MbFhiOCPw/eH4NJEnCx9bUoTDfgOZuJ547ela7n7bOLonJ94Bfpj5CT321zYyvXb0g4LZvvW9x2kubRXn/LFs+Ll1Ygfw8Hdr7XDhqn3zAk6pDnEQ1xlmC77/OLlw7Coflxcf/4E9shiDKJWLY57p5ZQCAP+/uSOh5Tp1Tfv/VlliQnzd5hk19Wep21U/1AFUiIsocBvWEYXVQXrxB/WxbPqxGPSa8Mlp7Yn8DkqpybP+gPtRAs1hcvqgCNnMezg668capnrD3OzPgwlstyhq896+cDUD5+/qHi+cCAH71SrN2XxHoJbOjHvBl6sc9csTs5vl1JQEf+7clpIvop59VlA+L0YD189US/MOTS/DF9zsVk+8TEW9fvRiSF2qdneA/LI+iCwjqeRBCOWZodFx7Xf/qVcoh6vPHzqLfGf/P/8nu0KX3gqiySjaoz9QAVSIiygwG9YRhMSgvzqBemYCvZOtPxNhX757waL2Cse6VD0essgOA/3nrdEJvWkwGPW5YWQ0A2BahBP+v+89AloE19aUBE/s/fUk9jHod3j7dj92nlSn8A1qmPsmeer9NBCMRdtWfGQjMwrx5qjepPzcWXQ4lqK+2KSWo71k2CwCwPaivftg9gXNqOXtjxdSX3wO+vvrmOMvvQ/XTCyXqEMRE3tTPNE73BDr6ff9GeRBCuaa9T/n3W2o14sL6UiypLsK4R8bfDpyJ+7lOhemnF3xr7RIvv8/kAFUiIsoMBvWU8KA8IP4J+G29I/DKygFCRYjJ4rGyO1z42YsntY9lJP6mRZTgP3OoK+xOeDEM74MX1ATcXlmUjw+er9z2y5eVbL0YIJds+b1Br9MGsjkjlODb1QBblIS/2Zz+oF78mbPUMv8rF1XBoJPwztkhrb0C8PWxlxcYYTMn9/eRqKbKxMvvwynWeuqZdY5GDAUzqlMpHa7xgBkURNlOlN7XqtVhH1ql/M74UwIl+NqQvDCHnKkov0/FAFWW7hMR5RYG9aQFsoVxDsoDgAViV/252Ibl+U++j2d9XrBUTn0/v7YYDeVWuMY9ISe4H7UP4ljXEIx6Ha5fVj3p87eubwAAPHv0LE51D6es/B7wHbSMRFlrBwDvW1GtXW+6M8giUz+rSAl8bZY8rG1Sek23+5Xgi3V2mSq9B4AmdXZDc48z6twEwBfUR8zUqwcozDpHJ0rvV9Yq08O9MjA0ylWAlDvaRVCvVmndeN5sGHQSDnQ4cCLOQbHaOrvK0K+J9eqgvM5+F8YmYp9V4y/ZFXws3Sciyj0M6inhQXkAML9SXWsXY6Y+Vf30qZz6LkmSlm3ftndy5uUxNUt/xaJK2EJk3+dVFuKqxVWQZeC/X21OWfk9AFjUEvxwFQQAcGZACbCX19i0Q5YdLenN1ms99X4D+a5dqpTg+x+MaN/vDEy+F2pKzDAadBib8KKzP3rWyRfUR++pZ6Y+OtGas6S6SGspGXDxMIRyR7vaMlanBvXlBSZctrASAPCnPbFn64fdE1qV07yKwpD3qSg0wZynh1f2/bnxqraZcdnCCu1jSQLu2bAspgGqdocLd7B0n4go5zCoJy1rlkj5vegLbO4ZxkQME/BbUpS5rbaZsXnDcujVbL9ekmJ+0xKKCOrfONUb8ObF45Xxl31KUP+B82tCPhYA/vFSZb3dn3d3aoFjcZLl9wBgNcaeqa+2mbG2UcmWp7uvPrinHgCuWVIFSQL2tQ9o16Sts8vQ5HsA0OskbX5DLCX4Wk99TOX3DE6jEZn6+VWFbFugnCTK7+v85ql8eJXy++DxvdE3pwiin768wBTygBgIXGt3OokS/CK/dqd/uGguNq6ui+lxLT1OBG8mTbQKjoiIpg6DetKywPHuqQeAmmIzLEY9xj0yWmMY7OPL1Cefud24ug6v3XE5/nDrxXjtjstjftMSSm2pBWvqSyHLwON7fcOP3mruxdlBN2zmPFy+qCLs4y+cW4IL6oox5vFqe+VLU1B+b1HX2g1HyNTb1Uz97OJ8XCyC+jT21U94vDg3NDmoryzKxyp1Ev/fDysr/sQ6u0yW3wPxTcAX0+8jbVTwld8zOI1GzNtYUFWoHXSxbYFySVtQ+T0AXL6oEsUWZXPKqye6Y3oerfQ+yiGneL1MJpD2H04pKqtiEeq1OtEqOCIimjoM6smv/H7yztxodDpJy9afjKGvXsvcpijIq7aZsbapLCV72TeoQ/C27emArKYqROn9e1dUw2QI//cjSRI+v74p4Db3eGL9kP4KtJ760EH90Og4htTvX7XNjIvUoP742WGtjDzVeobH4JWVDHhZUOArSvC3H+6CLMva0LxMTb4XxJvomIJ6ZupTZmh0HJ3qdoYFVQV+QT0PQyg3eL2yFiD7Z+pNBj1uVNeb/jnC5hR/J6NMvhd8E/ATz9R3+JXuxzokFFB+jxT6Ve1JiL10n4iIModBPfkF9YmVi4u++mgT8AdGxrTJ8JnO3IZy/YpqGA06nDg3jEOdg3CN+QbnfTBC6b1w9ZKqgD7sK+59KekBQ76e+tDl96I/syjfAKvJgFKrEYtmKd+Pt9KUrRel9VWFJuiDBhuIoH5HSx+OdQ1hZMwDvU4KeDOcCb4J+JHfJI+Oe7RDktgG5TE4jUT001cWmlBsMaLYrPx8MFNPueLckBtjE17odVJAZRLgm4L/98NdGByN/loQa1AvhuXFUv0WinvCg7ODvkPd070jMQ/dGxgZ014DAaC6OB8fvbA2oesgIqKpw6CekhqUBwDztQn4kYN6kaWfVZSfUP9+uhXl5+GaJVUAlIF5zx49i2H3BOaUmLWy8kjODY2id9gXrKRiwJCvpz50pl7sqJ9d7MuiiCn06eqr1ybfB73BBYC6MguWVBfB45Xxq1eUFX+16qC6TBLl981RMlain95o0KEoQjuKGJQ37J5IeEL1TCAmgy+oUg6atEy9i4chlBtE6f3s4nwY9IGvY8trbJhfWQD3hBdPHrBHfS5f+X1smfpE19qJ4anmPD2sRj08XhltfbE913H1cF4M7DszMIqDnY6EroOIiKYOg3rS9tQnHNRru+ojl9+LneXZmKUXRAn+X/edwf+93Q4A+MB5NdAFj9oPoaXHieBxSckOGBI99dEy9f4ZpLVp7qu3RwjqAV+2/q/7ldkEmS69B3z/5nqGxyJmibUd9QWmiCsXi8x5EJ/mJPfwRIAgDv5Yfk+5JtSQPEGSJC1b/+coO+vHPV6cVjPvUTP1av96R78L4zEMoA0mSu/nlJi1KqWTUQ7dhXfU3+PLa2y4YrEy4f+JGA4siIgosxjUU1KD8gBfFq65xxlxAr7YWZ7JSejRvHt+BcoLjOh1juHVEz0AIk+995fKNXtCtEy9Xc3UV/tl6i9qKIMkKUMJz8YxIClW4jlnFYXusXzPMiWoFxOhUzU/IRlWk0E7+IhUgq9Nvo+wzg5Q5gnYzAxQozkelKkXFQ4svydAaeV541RPVq9La48Q1ANKa5ZOAt4+3Y9tezrCfi2ne52Y8MqwGvWTyviDVRXmIz9PB49XjmkNZzAxA2BOiRnzKmJrPRJOaNsqCnDDimoAwBP7z8Ab44R/IiLKDAb1M5wsyxgeSy5TX1NsRn6esgdcZDVCEUPTsjlTn6fXYdGsooDbdp/ui+mxqV6zBwAWNah3hllpd0bNms/2e5Nos+Rh6Wzla0hHX32o6gB/C6oKAr7HpVEC5KkiSl63H+4K+8Zbm3wfYUieoO2qdzJADcc3+V75u9cOQlh+P+Nt3dWGdVtewE0P7sC6LS8kPX8kXURQP6ckdFBfVZSvZd6/9sf9Yb8WkSlvqiyIWAUEKANo55YmXoLfqQX1lvgz9V1KUL+wqhCXLaxEgcmAM45R7G3vj/s6iIho6jCon+FGxjzaTtpEg3r/CfhPHLCHDZjEOrto/YSZZHe48PqpnoDb4umLT+WaPQCwauX3YTL1fjvq/aVzX32knnpAKUmtK/Vdzw+3v5MVb9i9XqWK5FevNId94y3K7yMNyRNEKTl3rofmcI1rq7TmVYqeeu6pJ+V1a9O2gxDJ31TMH0mXSOX3gPK1+A+JDfe1nIrz959vV3387VsB5fcVsQf1siwHVNfk5+lxtTpn5m/7WYJPRJTNGNTPcGJInl4nIT8v8X8ORnWA0I+fPR4yYPJ65ZzI1Lf0OLVDDiHevvhUrtkTAwXD9tSrA5GqiwMDbG1YXjoy9YPKm9VwQb3d4cIrJ3wHI3IWvGG3O1x4s9lXcRHujXc8QT1LySMTKy5nFeVrGXqxNcDBv7MZ7ciZQQRXcyc7fyRd2vsjB/WxzlKJdfK9UK/+nhS/N+PR4Zepn6dt/hjWVrWG0zM8hv6Rcegk33W+Ty3Bf/KgXWupIiKi7MOgfoYbUofkWY36qCWB4dgdLuxtG9A+DhUwnXG44J7wIk8vYU5J9u67TUdffDLESrtQPfWyLOOM+nc8O+gAYXV9KfQ6Cad7R7QJ+akgyzLOOpTAd1ZR6KA+FQcjqRbrG+9Ye+oBZuqjEUPyFqgrFgH+nREw4fHiwVebJ92eydfZcEbHfavhwgX1oX5nAJg04E4rv487U59MUG/G3DILDDoJI2MerXUqHJGln1tmRX6e8rvn3fMrUJRvQPeQGztbYmtFIyKiqcegfoYTZd2F+YntqAdiC5hE6X1dqWXSWqBsko6++GRYI/TUD4yMY3RceeMYnDUvzM/DshobgNSW4Pc5xzCmvlmtChPUZ9vBCBD7NWnT7wsjD7IC/HrqmXUOSfTmLvDLTNrUPfWDo+PM+s1Q333iCN5q7oNBL8H/R/Jb71ucsdfZcEQZe4HJoB1IBQv+nSHc9r+78cyhLgDKYahYZzevMrZKtQZ1rV285ffuCQ/ODinB+5wSM/L0Ou2A4FSUlZ4iqJ/v9zNrNOi04adPHDgT17UQEdHUyd7oiqZEsjvqgfCZit1t/Vq5nyghzIb1ZtGkui8+GWKl3UiInnqRpS+zGrWsir90rLYTmZ7yAlPY3fPZdjDif03+/07/9doFk65JDMqLJVMvSsk5KC+0E+cCJ98Dvky9LANDo8zWTwfxTLD/7est+N2bpwEAP/v4+Xj13y7HnBLlAE1UyUz1NUUi+ulrSy0RK9n8f2ds/+d3Y928MoyMeXDb/+7Gfz5/AvvaBzAy5oFe8u2gj2auWn7f3j8ScatMMPvAKGRZ2VFfalVex2LtqxdB/UK/6hoAeN+K2QCApw91xXUtREQ0dRjUz3AiqBcD2RIRLlPxo+3v4Ot/3A/XmAfNaoYgG9abxSKVffHJ8K20m5ypD9dPL2h99SnM1Gvr7GyRe86z6WDE/5pev+MKbTNAa4gMmFZ+H8P0ew59iyx4Rz2gbJcQB4j8e8t98Uywf+HYWfzHE0cAAHdctwjvWVaNOSUW3H3DMgDAr19vwbkUrOBM5VT99j7lUMB/8Gc44nfGwllF+N2n1+BTl9QDAO599jg++Is3AAAeGdi2J/I+e+35ivJhNOgw7pGjls378y+9FwcR/n31kWjVNVWBQf0lTWUotRrR5xzDG2kYvkpERMljUD/DDY+KHfWJl98DgUHcG3dcjjuvXwS9TsK2vZ344C9e194IiMwBxUYctgyHyNSHm3wvXDi3BAadhM4Bl7aWKVnizWW4HfX+suVgxF+1zYz/uHEpAOD/dneg1W8I1ei4R/t7jmelHQflTTYwMqYdkMwPChBEtp5/b7kt1AT7TdsOhsyOHzkziC8/shdeGdh4YS3+cX2j9rmrFlfigrpijI578Z8vnEz5NSUzpFPL1IdZZxeOQa/Dv79/Ke54z6JJn4v1enQ6Sevjj2dYnv/keyGWTL0sy34rKAN/Zg16Ha5jCT4RUVZjUD/D+crvE8/UCyKIm11swefXN+Hhz12E8gITjnUN4YT6ZmLLM8eyYr1ZrhDT70MNyrOH2FEf/NiVtcUAImfr4ylV7Yqyoz4XrJpbissWVsDjlfHT509ot4sg1GjQoTCGdhSt/J7B6SQiS19TbJ7U2uML6pmpz2UtPc5JE+y9MvD537+NZ9QybbvDhacOnMGnfrMTzjEPLmkqw3c/sCyglF2SJHxDDX7/sLMtocFwka4pmSGd2jq7ssTmgayotU26LZ7rqU9gWJ7/5HvBl6kP/zx2xyiG3BMw6KSQG2puWKmU4D9zqAtjEyzBJyLKNgzqZ7hU9NSHc3FjGX79qQsDbsuG9Wa5xKKW34975ElvpERQX10cPhMera8+3lJVe5Qd9bni61cvBAA8tq8TJ9Q+Um1IXoEppk0QxVqmnsFpMG3gVtXkGRrF6rC8ARcPQ3JZQ7kVoX5KDnYO4rb/3Y0LvvssLtn8Av7pkb04N+RGeYERD3xiVchZHBc3luHSBRWY8Mr48bPHk7qmYMkM6Wz366lP9HqSGRpar/bfh2oVCidkpl4N6ruH3HC4Qr9evaP+zDZWWEN+j1bXl6Ky0ITB0Qm8eqI75ushIqKpwaA+R6VqEJAvqE+u/D7a8/vL9HqzXCJW2gGTs/ViVV2krLl/X33wjuLjZ4dwx5/jK1XVeurDTL7PFcvn2HDNkirIMnD/c0q2Pp51dgBQYlUzzq7xqPufZxpxUBJcxgswUz9dVNvMuGZplfaxXpLwjWsX4guXNaHYnIfB0YmArSh9zjGMjE/+fSD867XKQdtf95/BkTODCV1TqB/DT62rT6gFSJZlLagPt84ummSHhopheYlk6mv8gvoCk0F7zQ5Xgn9CO4ib/DMLAHqdhOuXKzvrnzhgj/l6iIhoaqQ+PUtpt3VXG+7YdhCyDOgkYPOG5QkPInOmsPw+FJGp8C+JzPR6s1ySp9fBaNBhbMIL55gHxX5/bVr5fYRM/aq5JTDqdegaHMVjezsxt8yCAx0OPHf0rBLoB91fHLiEe9Pp6+PP7aAeAL52zQI8e/QsnjxoxxfPDGqT72Pppwd8PfUer4zB0QnYzOk5GMtFx8P05gLcVT+dFKmzWD58wRx83W+bxMWNpbjl17sC7uuVEfG1ZVmNDe9bUY0nDtjxo7+/g19/anXc1yP6vc+rLcYsmwnPHDqLZw514WtXL9BamWLV5xzTVonWRHiNjWbj6jqsX1CB1p4R1Jdb4jpgEOX3R+yDsDtcMT02VPk9oJTgdw2O4lT3MFbNLZn0uHe6lJ/ZhWGCekApwf/tG634++EujI57Qm5dISKizGCmPseIQUByigYB+Qblped8JxvXm+Uaq3HyWjuvV46pvz0/T69lbL72x/340ANv4jt/O4LXT/ZO6j0Foh+4dE2T8nsAWDSrSFvV9ONnj2vl9+UFsQX1+Xl65OcpL6Ec+hbouJapD19+75iiv7NUVTXRZGKA2/qFFQGv6QuqChMqO//6NQuh10l44dg57Grti/t6/rJPCeo/cuEc3PuR8zCnxIzOARd+uP2duJ+rXQ2OZxXlJx28Jjo09FCnAwBwZmA0pvao4B31/poqlKz/qTCZ+kg/s8IFdcWoKTbDOebBL18+xZ8pIqIswqA+x6R6ENCQttIufUUb2bjeLJeIvnr/VoZe5xjGPF5IElAVoRTe7nAFTHgXvnLFPLz4L5fhBx9art0mSYh44DI0Oq5lrqZDUA8A/3zVfOgk4LmjZ/H8sXMAYg/qAaCUa+0m6R12o9epBOxiQJc/rfw+TG9vKm3d1YZLUrTejCZrVcvCG4J2ryd6mNtQbsVHL6wFAHz3b0fwxsnYD2NOnhvC4TODMOgkXL+sGlaTAVs2rAAA/O7NVrwd5yFBW5Kl98myOwIPI2I5wBc76vPzdCgL2jQTaa2d1yvjxLnwLTOCJEna4cB9z53gzxQRURZhUJ9jQg0n0klIuJzdmcZBef6ycb1ZrigwTd5VL97YVRSYkKcP/2Pc0uOcVGIPAGubytFQbsXG1XX4/LsbAADXLK6KeOAisvRF+QbtoCHXNVUU4IPnzwEA7G8fABB7+T3gv6uemXpBlN7XlppD/jspnqKDELvDpbUpAclXNVGgodFxrWUl1O+fRA9zb79yPgw6CQc6Hbjpv2M/jPmrmqVfv6ACJWpA+6755fjohXMgy8A3/nwAo+OeSE8RQPTTz4lhR306JHKA3zngK70PHvYZaa1de/8IRse9MBp0mFs2edigYHe48OrJHu3jSGsMiYhoajGozzHVNjMuW1gRcJvFaEg40y6yv4VpKr+n5FnUeQdOv0z9mYHok++B2KYvXzKvHABwIkQGx582bX+aHcyIIELQB/+FRaANy2NQr9EyfpWhM35iFWC6y+9bepyTBqdxSGfqiL/H8gIjCvNDz5NI5DBXhgyPXzQby2GMLMv4634lqL/xvNkBn/vm9UtQUWhCc7cT//nCiVAPD6mtN7OZ+kQm54eafC+ITH1b3wjcE4GHG+Igbl5FQcTXv1A/U14Z+L+3O8I+hoiIpgaD+hwk3kB9ZNUc1JWYMeyewI8S6BkEfEG9dZpkXqcj8b0JlakPt6NeiKUMdnmNsku5pceJodHw2dPp1E/vr67Mggv8Bkfd9ZdDMZeUallnJ8vvheNRpmhP1aC8VK83o0Ataul9fYTMbkLPG6K6KNphzIEOB1p7R2DO0+OqxVUBn7NZ8vC9DywDAPzXy81an3o07f2ZDerFa7d/wj1aC4NvSN7k+1QUmlBoMmgDC/2Jn9mFs8KX3gOhDxoAZSbJlx7Zg95hN2dYEBFlCIP6HCRO4y9bWIktH1Z6Bv/nrdPY29Yf93Ole1AeJU+stXP6rbSLJ2serQy2rMCEmmIzZBk4HGGVVNc0WWcXzO5wBfTbynGUaZdYmKkP5pt8H3rglk3sqU/z31m1zYwiv9c1XZSZERSflm61nz7E4UkyQgWO0VrMxIC8q5ZUhaxau3bpLLx3eTU8Xhlf3boPr57ojvrznemeekB57X7olgsBKNV0Yt5AOOEm3wNqP3yYvvp3uqL30wOTD4l1EnDZwgrodRKeOGDH+v/3Ii7ZzBkWRESZwKA+B4lf3LWlZlzSVI4NF9RAVnvbxj3euJ5reIp66ilx4k3qiNuXqRc76mcXxxZgRyuDFdn6gx3hs1j2aZqpT2b4ZAkH5QWQZTnijnrAdxAyODoRUGadat1DbgyO+g7CvvXexRzSmUJiSF59ioN6ETj6B/ZXL64K+9rl8cr4m7rK7saVs0PeBwD+/f1LYTbqceLcMD750M6IQee4x6u9xtZmMKgHgHfNq4DRoMPQ6IS2bSCcSOX3gK8EP7ivPpbJ94L/IfHrd1yB3356DR7/p3VoqrDCOebRqiw4w4KIaGoxqM8xo+MenBtSVm+J0/hvXr8YxZY8HOsawm9eb4n5uTxeWSvpZlCfvUSm3n/6far725fPUYP6CKWpXdNoR72/RHpXBQ7KC9QzPIb+kXHopNCT7wHAZvb1XzvSOAH/8JnAf8t9bJFIKRFgpjpTDyiB4+t3XIEvXd4EAHjtZA+61d97wXY096J7yA2bOQ/rF1SEvA8ATHi9GPVrYYoUdNoHRuGVAZNBh4o4tmGkg9Ggw7LZRQCA/R0DEe8bKVMPhB6WN+7xolmtuoiWqReCD4mXz7Hh7huWTrqfR5bxt/12yMGN+ERElHIM6nOMmG5rMeq1jFdZgQl3Xr8YAHDfsye00/po/Mu5WX6fvXzT7/2CevXfQXWMmfpotEx9hKBeHCRUTbOgPtH1W4B/+T0DRgBalr6u1BJ2t7dBr9MGc6azBF+0koie5GhZTopPa5p66oVqmxlfu3ohVs6xwTnmwf3PHQ95P1F6f/3yahgN8W0CCVeRI0rva0st0MUxODNdzqtVZn7saxsIe5+xCa/WIhUtU+9ffn+614kxjxcWox41UQavRjK/qiBkv/09Tx3F9T99DY/t7cC4x8ueeyKiNGFQn2O00vuglTUfWTUHaxpK4Rr34Bt/OhDTfl8xTT1PL8FkCP0GnDJPrAUTO+I9Xhln1azV7FRl6v2G5Q2GGZZ3dlBUB0yvoB5IfP1WCTP1Ad6JMiRPmIpheSJTv6a+FADQzKA+ZfqdY9pBVjoHD+p0knZg/eiudpxUNysI7gkPnjpkBwC8P0LpPRCuIif09WtBfZjgeKqtrFVen/epazdDsTtcYXfUC2LH/KnuYXjV1hcxA2N+VWFSBxih+u0vaSqDOU+Po/ZBfHXrflz4vWfZc09ElCYM6nNMuJ45SZJwzweXQy8Bb5zqjWm/rzYkj6X3Wc2qrrQbUQ9hzg2NwuOVYdBJce1Uj6TEakStuo851HTo0XGPFoBVF2XHG91US2T9VjEz9QFE0BFtK0OxOizP4Up/pv4GNdhr7XFqgQwlR0y+n1WUrx06pstFjWW4ZkkVPF4ZW54+FvC5l97pxtDoBGYV5WNNQ2nE5wnVq//ZdzWG/HnPhiF5/s5XM/VH7IMYHfeEvI9/6X3wjnqhrtSCPL2E0XEvzqiH/mJI3sIY+umjCe63f+TWi/Hmpivwr9cuRKnVCIdrgj33RERpwqA+x0RaWWM16QMGfkX7pTnk5uT7XBCcqRc76quK8uPaqR5NpGF5Yp2dOU+PIjP/vQjpztTnUqnq1l1tWin07988HfFAMd2HIQ7XOE6re8bfs2wWDDoJrnEPzg6NpuXPm2lae8SQvKkJeu+4bhEMOgnPHT2HN071aLeL3fQ3rKyO6bVQ9OpfsagSgHJAGopYZ5fpIXlCbakZpVYjxj0yjtpDbyiJNiQPUFpfRLuE6Ks/cS62yfexCj4cLbYY8cXL5+G+jSsn3TfWgaRERBQdg/oc094nfnFPfrMR735fJ3fU5wQtU6/21NvTNLBueU0xAOBAiEy9ts7Olh82CzQTiaB+ZMwD90ToDFqitu5qw7otuVGqane4sGnbQe1jGZEPFIvTvDXgiJqlryk2o7zApGVcxRo2Sk5rGofkhdJYUYBPXKS0xNzz1FF4vTKG3RN47shZAMCN59XE/FzVNjNuv3I+AOCpQ10h5zq0Z1mmXpIkrJwTuQQ/0oG/P19fvfI9jHWdXbIWVBUi+FdHrANJiYgoOgb1OcZ/nV2weKd4i/L7Qmbqs5qWqVdX2tnVTH11EkONQlkxJ3qmfrrtqE9WYb5B+5lLZdZZBMmi8ibbS1XjXQtYrE7Ad6SpwkH00y+rUaaGi+CTffWp0TzFQT0AfOXK+Sg0GXCocxB/2d+Jvx/ugnvCi8ZyK5aq0+FjtWKODYurizA24cXjezsnfd5/UF620IblRQ3qI1+z/wR894QHrWpFy8JZ6Q3qq21m3HHdIu1jvYSYB5ISEVF0DOpzTKRf3KJnUMT1EiL/0hQr0qzsqc9qIlMvKitEL2S0vuV4LZutBPVtfSNwBAWovhV6DOr96XRSWtbaxRskZ1pDuRXB9RuRDhS1rQFpWmkn+umXqv+mtaB+mmfqp6pdI92T70MpKzDhny6fBwDY8tQxPPhqMwDg/efNjrt6SJIkfGx1LQBlAJ//yrXB0XHtgC6rgvq6YgDA/rBBffTyeyBwAn5ztxMer4yifAMqUzSfJZLPrmvQXice/9K6mAeSEhFRdAzqc4hrzIOeYbGjPvQv7o2r6/D1axcCANbNK4/4S1ME9RyUl91Ee8TIWFCmPsUBts2Sh7llypvY4NV2Ykf9LAb1k2iT3FO4B72h3BqiVHXqepjjVW0zB+wIj7YW0Jbm8vtJmXp16ndLz3DYx+S6qWrXkP0Ol6YyUw8An15Xj2JzHs4OuXHUrpSNGxKcK/KB82pgMuhwrGsI+/2qk0TpfZnVmFW/G0X5fWvvCPqdkw8QxYF/tLV0WlB/bhjH1W0VC2cVTklblUGvQ5Va7eX1pv2PIyKaURjU55DOAeXNRqHJAJtavhqKKEXsDfGL3x/L73ODlqkP7qlPcfk94BuWd6BzIOB2/556CiT66lO5c73aZsbGC2sDbvvg+XNSVqqajozu2ITyLv3z6xuirgXUMvVpKL93jXm0IWDBmfrpuqve7nDhjilq1+gZHsOwewKSNPWZ7P6RMTiCqjvue/ZEQl+nzZKH65dXAwAe3ek7ANHm1mRRlh5Q5lCIf8f7OgYCPjc24dVWjkYrv29UD7h6nWN4q7kPQPQVlKlUXaz8DhHVX0RElBoM6nNIuziJLzFHPFWfowZ7ohwvnOExDsrLBaKnfkTtqT+jvhlK1Y56f6KvPnitHXvqwytJ08510eOap1d+1p89ehbdQ+6knzcdGV2vV9aqO2I5fEjn9PtjXYPwykB5gUkrKW4sV7KT7f0u7fBhOmnpcUKeonYNUXo/22ZGfp4+5c8fSbzDYKMRJfh/3X9Gq1xr71N+z2bLkDx/59UWAwD2tQ0E3N7lGIVXBkwGHcoLQu+oFyxGg5bN//vhLgDAwqkM6tWD4a4snQ9CRJSrGNTnkFgH4dSopflDoxOTshr+tD31zNRnNXHoMubxYmRsQmvBEBmPVFomMvVBw/J8PfUcahQsHT31ANCnVtp85MJaLJ1dBIdrHN/52+GknjNdA/iae4Yx7J6AOU+P+ZXR913b1D31A2nYU39I7adfVlOkHX5WFZlgMerh8craurLpJFQZfLomi4sNAiLjO5XiHQYbzZqGUjSWWzEy5sET6no834767HutE0H9/qBMvX8/fSxl9P7ZeiD9k+/9zSpS/l7tg8zUExGlEoP6HNLRF9sgHIvRgFKr8qa5sz/8m3Une+pzgsXky4Y1dysZOaNBhzJr5IxMIkRQ39Hv0vo2xz1edKsHCVW29A9TyjXpKiUXb7grCkz4wYdWQK+T8MQBO54/ejbh50zXAL597coh0PIaGwz66L9WStKYqT+sVgz4T0SXJMlXgj8Nh+WVWIwBMxh0aZws3pKBIXmCGAarV7/YaLMbopEkCRv9BuYB/kF99mXqV4qgvn0gYLhfrAf+wrygg7cFVdEP4lLFl6lnUE9ElEoM6nOIb51d9F/coryucyB8UM9BebkhT6+D0aD8qJ7qVnqFq9O0L74oPw+NavAjyqm7h9yQZWUgVbmVQX2wdO1c7xtWgvqyAiOW1djw2Xc1AAC+9fgh7Wc3XunK6B5QM4eifSMa8Xc2NDqBCU9qy+HF5HuxzUGYzn31x7qGAsrvP3HR3LRNFhc76uuneEiesHF1HV6743L84daLo85uiMWGC+bAoJOwr30Ax7oGtZ762hgD5Km0uLoQRr0O/SPjON3rO4iLdfK9INbaAUB5gRFlBVP3ui7msoiBr0RElBoM6nNIPL+4xX0i9dUPsfw+Z1iNSrb+xFlfUJ8uIlsvgnpRel9VlA9dgpOmpzMxKK+5ezilg8n61My/qLr56lULUFtqht0xih9tfyeh55xVlI+ioJ/3VGR0xZotkUmMxv8aIrUIxWvc48U7XcpE76VBQX3jNN5VL2ZgiEnwwdsrUqlF21GfuaC32mbG2qaylFQiVBSacPWSKgDAH3a0xXV4PtVMBj2WqBUo/iX4yWTqxcaTqTJbDMobZE89EVEqZTSof+CBB7BixQoUFRWhqKgIa9euxdNPPx3xMQMDA/jiF7+I6upqmEwmLFiwAE899dQUXXFm+X5xR38jo2XqI5Xfj3FPfa4Qw/LEVO90DMkTRLZVZF+7uKM+oiPq+rQ9bQMpXSUmeupFUG826nHPB5cDAH73Ziv2tPXH/ZzvnB3C4Kgvy2/O02HDBXOSuk73hAdH7Ep2/LwYg3qDXqcF9qmscDhxdhhjHi8K8w2oDeqJFmvtmrun31o7scLvhpWzAShB/dBo6lsbvF5ZG5TXUD51Jdvp5l+CP+bxwqCTsvb1TvyM7fUblhfPewMgcBDqntMDaVt/GMos9XfXWYcb3uBeICIiSlhGg/o5c+Zgy5Yt2L17N95++21cccUVuPHGG3H4cOhhUGNjY7j66qvR2tqKP/3pT3jnnXfw4IMPoqamZoqvfOo53RNaj20sp/G+TH2E8nux0o5BfdYTa+1OivL7NAzJE8Rau0OdSqAm1tlVZemb3EyyO1x42G8dVipXiQUH9QDw7vkV2HBBDWQZ+Jc/7scrx7vj+rNefqcbAHDpggqUWo1wjXsDgoNEHLMPYdwjo8SSF3NQAfhK8B0pHJZ36Iyvnz64PUUEodOx/F78rF6zpApzyyzweGXsau1L+Z9zdmgUo+Ne6HVSXN/rbPfu+RWoKTbDrW5GmF1sjmk2RCZoE/DV6hggvio+u8OFe546qn0sI33rD0OpLDRBkpTBr31pWGlJRDRTZfS31g033IDrr78e8+fPx4IFC/D9738fBQUFeOutt0Le/9e//jX6+vrw+OOPY926daivr8ell16KlStXTvGVTz3RG1+UH3lHvVCjBv6Re+qVFWnM1Gc/kakX/azpnEK/tMYGSVL+7fQMu7XVQ9VcZzdJulaJebyyNk2/NGgg4rfeuwRWox7NPU7c/OudcVUHvHxcCeovX1iBdfPKAQCvnehO6lpFGfDK2uK45jykY1jekTD99ADQoA52OzfkTngmQTYam/C1HCyrsWFtYxkA4M1TvSn/s8SBSG2JGXlZGvQmQq+T8JELfRUrVUXZOztEBPVHzgzCPeHB2IRXO3iN5cA/XcMyY5Wn16FC7eHnsDwiotTJmt/KHo8Hjz76KJxOJ9auXRvyPn/961+xdu1afPGLX0RVVRWWLVuGe+65Bx6PJ+zzut1uDA4OBvyXi3wn8bH1v8XSUz/sVt5Mc1Be9hOZ+gn13djsNGbqC0yGgGF5oqd+FjP1k6R6xZbgcI1rhwWiZ19wT3gwMuZ7zYu1OsDpntCyt5curMS75ytB/SsnepK6VpExXDmnOK7H2dIwYFCUFS+tKZr0OZslT9sY0TqNsvUnzg1hzONFUb4Bc0qUXnMAeCMNQb0I/DI1JC+dzHm+LSO7WvuntCQ9HnPLLCi25GHM48Ux+1BcO+qB9L1mxUO0NpyJkHQgIqL4ZDyoP3jwIAoKCmAymXDbbbfhsccew5IlS0Let7m5GX/605/g8Xjw1FNP4a677sK9996L733ve2Gff/PmzbDZbNp/tbW16fpS0qq9L76eObGrvn9kXFtd52/C48XouFJqWMhBeVlPZOqFdO+LX6EGaIc6HDg7yB314VTbzNh03WLtY32KVon1OZUVgjZz3qSMaEuPE8GdqLFk2t441Ytxj4y6UgvqyyxaUH+gYwCOJALrAx1KIL2yNrbJ90KxObWrAL1eWevtD5WpB3wT8KfTsLzDaun9shobJEnSMvVH7IMpX7PY0qO0/2RinV062R0u/OCZYwG3TWVJejwkSdIO0Pa1D8S9oz7VawETIf6sLu6qJyJKmYwH9QsXLsS+ffuwY8cOfOELX8Att9yCI0eOhLyv1+tFZWUlfvWrX2HVqlXYuHEjvvnNb+K//uu/wj7/pk2b4HA4tP/a29vT9aWklfjFHetE3qL8PG0QVagSfKfbl+lj+X32C66mSOegPMDXV38gIFOfvSWpmfSxNb6Dwue/fllKVon1inV21smZt1CZNp2EqJm2l4+fA6D000uShGqbGfMqC+CVgTebE8vWD42Oa2sWV8SZqRfl96maft/S68TImAf5eTo0VoQe4jYdd9WLSfdia0VlUT6aKqyQZWBHS2r76lvUg6PGiukV1Ge6JD1e/n318U6+B1K/FjBe2lo7lt8TEaVMxoN6o9GIefPmYdWqVdi8eTNWrlyJn/zkJyHvW11djQULFkCv95XJLV68GF1dXRgbC52RMJlM2nR98V8uine6LeDXVx9iWN6QWnpvMuimVW/kdGUx6gP+f5E5vQcxy9UJ+PvbB7RM/Sxm6kPyr6IoimHeRSzEkLySEEG9yLT5B/Y3r50bMdMmyzJeUofkXbawQrv9XfOSK8E/2OmALCuvS+Vx7rr2ld+nJpssSu8XVxdBH2b1ogj2RcZ5OvAfDihc0qR8X1PdVy8m30+3TH02lKTH47y6YgDK63O8O+qFVK4FjJcov2dPPRFR6mRdNOf1euF2u0N+bt26dTh58iS8Xq922/Hjx1FdXQ2jMXovWS5L5DQ+Ul+9yNSznz43+FdTVNvy4xpIlogl1UXQScpQsXGPDElSphbTZHqdhPw85aU0VKtLInpDTL73t3F1HV6/4wpct2wWgOgZr5YeJzr6XTDqdbhYLc8GgPULxLC8xIL6/e1q6X2cWXrAv/w+NZn6SEPyBC1TP03K7yc8Xhy1+8rvBdFXn8qg3uOV0dar/C5pmGY99dlQkh6P89Sft+Yep9ZyEs97g0zzZeqzr72BiChXZTSo37RpE1555RW0trbi4MGD2LRpE1566SV84hOfAADcfPPN2LRpk3b/L3zhC+jr68Ptt9+O48eP48knn8Q999yDL37xi5n6EqZMewKn8WJXfUeI8nttSB776XOCf6Z+dnH632haTQbMq/SVMJcXmFjREYFVzdY7x1IT1Pc7w5ffC9U2M/75qgUAgOePnkP3UOjDUMA39X51Q0nAAdFFDWXI00to6xvB6d74A939YkhenP30AFBiTW1QHypjHaxR21XvhBy8tiAHNfc4MTruhdWo16b7A9AObt45O4Se4fD/LuJxZsCFMY8XRr1uSl6DplqmS9LjUWI1Ym6ZEsS/clw5kMulFYPisITl90REqZPRd+nnzp3DzTffjIULF+LKK6/Erl27sH37dlx99dUAgLa2Ntjtdu3+tbW12L59O3bt2oUVK1bgK1/5Cm6//XbccccdmfoSpsTQ6Lj2xjeeX9yRdtUPqTvqmanPDVa/Eu9ZU7Razj/zV83J9xFZ1O0E/rMqkhEtUy8snFWI82qLMeGVsW1PR9j7iaD+0gUVAbdbTQacX1cCAHg1gWz9AXWdXbz99ABQbFa+toEU7KmXZRmHz0zOWAerK7VAkoAh9wR6hnN/R7ZoOVgyuwg6v/rxUqsRi2YVAgDeak5Ntl5UN9SVWcK2N+S6TJakx0v01Y95lMrF3ArqfT310+FwjYgoG2Q0onvooYcifv6ll16adNvatWvD7rGfrsSgu2JLHgrzY+/ZFb/kQ/XUO7mjPqeIoBEAqqcoS7aixoZtezoBTN1BQq4Shy4jKcrU98UY1APAxtW12Nc+gK1vt+Pz6xsntWaMjnu0wO7SBZWTHr9+fjl2tvTh1RPd+IeL58Z8jecGR3HGMQqd5BusGI/iFO6p7xxwYWBkHAadhPlVoYfkAUB+nh41xWZ09LvQ0uNERY63lBxSJ98vDdFysLapDMe6hvDmqV68b8XspP+s6dpPn6vOqy3GX/ad0T6uyaGgvkr9fTI24UX/yHhMr3NERBQZ62lzQEec6+wE0WMXKlMvyu8LGdTnBP+KitlTlDVf7pd9LWKbRkSiPSJVmfp4gvr3raiGOU+P5m4ndp/un/T5HS19GB33YlZRPhaECHjfNV/J3r9xqhcTHu+kz4ezX11lN7+yMKHDwWJ1UF4qgnqRpV9QVQiTQR/xvr6++uwclmd3uPDGqZ6Y+o1Fy0Go6gSx2u7NFGfqG7J0eNxMs1LN1APKwNuKOAdVZpLRoNMGa7KvnogoNRjU5wDRT18b5yAc0VPfM+zG6HhgsDHMTH1O8Z+wPlWZejF4DAD+vKcTW3e1Tcmfm4vEz1EmMvWF+Xl474pqAMDWXZNXdr78jq/0PtSAxeU1NtjMeRgancABtZw7Fr7S+/iz9IBvUN6wewLjcRwmhHK4M3o/vdCYxbvqt+5qw7otL+CmB3dg3ZYXIv7Meb2y9jMaqlLiosYy6CRlfsDZFOwDb1X/vuqn2ZC8XLWkugh5euXnudRqzLmd75yAT0SUWgzqc0Ai6+wApbxVZBCDd9UPi556ZmBzgtVvUF7eFPSz2h0u3P3XQ9rHMoA7tx1iViUMLVM/ltpMfZk1tuzbxtW1AIAnD9oxHDSBX9tPv7Bi0uMAZXr/unlKVvfV47H31e/ThuQVx/wYf0XmPIgzhmSz9Ydi6KcXsnVXvd3hwqZtB7V96V458s/c6b4RDLsnYDLo0BRib7zNnKeV5adiCr4vU8+gPhvk5+m1Mna7YzTqIVC2ERPwzzCoJyJKCQb1OcC3hza+TL0kSWH76ll+n1te93tT/g8P7Uj7m7eWHqcWXAgeWUZrz+T1iOTXU5+ClXayLPsy9QWx9ZpeOLcEjRVWjIx58MR+X59te98ITnU71cC9POzj362W4L92sjvmazyglt+fl2BQr9dJKFJnhDiSHJZ3OIbJ90KDtqs+u4L6eH/mxJC8xdVFMITZTJGq1XbjHi/a1d8hDOqzg93hCvi9Hu0QKNv4MvW5cb1ERNmOQX0OaE+wpx7wleBPytSz/D5n2B0uPPDSSe3jqXjz1lBuRXBBgF6SUM9+2pC06fcpyNQPuye0idalltiCekmS8NELlWz91rd9JfivnFCC9AvqimEzhx+y+S414N/TNoCh0ehZ89O9I3C4xmE06LBQnbKeiFQMy+secuPsoBuSpAS40Yjy+9O9I/AER9EZ1FBuRXANTqSfOV8/ffivWQT1bzTHv9nAX0e/Cx6vjPw8HaoKOTQzG7T0OBH8rzeXDl651o6IKLUY1OcAkamvLY0/oPINywv8RS9KdLnSLvtlImtebTNj84bl0Kv10XpJwj0bluXEqqdMSGWmXmTpzXl6mI2Rh77523BBDfQ6CXvbBnDi7BCAwH76SGpLLWgot8LjlfFWc1/UP2u/2k+/dHYR8sJkiWMhhuX1JxHUv6oeXNSWmGM6pJxdbIbRoMOYxxtyM0imVNvMKAuqzIj0M3dYnXy/LMTke2F1fSn0Ogntfa5JvwPiofXTl1kDVudR5uT6wSt76omIUotBfZZzuMYxqPa/1yQwIK0mTPm9082e+lyRqTdvG1fX4bU7Lscfbr0Yr91xOTaurkvrn5fLxCDDVGTq4xmS56+yMB9XLFJW1m3d1Y6xCS/eOBV+lV0wka0XQXIkWj99Avvp/YlheQMjiZXfb93Vhq//cT8AoK3PFVNbil4nob5M+dlpzqIJ+M3dw+gZHoNBB4hzklCr6gCl/SHS5HuhwGTQBhkmU4Lf3MN1dtkm1w9eZzGoJyJKKQb1WU4E46VWY0Kl8qJkP3itnTYoj5n6rJfJN2/VNjPWNpXlzBvFTLGq5fepmH6vDcmLsZ/e30a1BH/b3k681dyLYfcEyqzGmHrN3zVfCepfOxG9VFv006+sTWzyvVBiET318WfqxWA5/yKWWNtSfGvtsqev/oVjykDDixvLcd0yZZvBwztCH1J0DrgwMDKOPL2E+SHWFPq7JAV99SJT3xBiIB9lTi4fvFZrg/JckOXsaYMhIspVjOiynG+dXWJBVbie+iGW3+eUjavrsH5BBVp7RlBfbmGQnWXEgVsq9tT3qkF9SYz99P4uW1iBykITzg258b0njwAA1i+oiKlkem1TGfQ6Cc09TnT0j4QdzDnu8WpD2pLO1Gvl9/Fn6iO1pUT7+WgoLwBwNquC+ueOngUAXLm4EotmFeGJA3b8ZV8n7rx+EQrzA+chHFJL7xdUFcJkiNyisbaxHD9/8RTebO6FLMsh1xpG09qrBvXM1Gedaps5J38fiMn9o+NeOFzj2msBERElhpn6LOdbZ5dYqbV4XNfgKMYmfLugRfk9B+XlDmbNs5dYaZfSTH2c5fcAYNDr8KFVcwAAx88qpeUrY9wjX5Sfp02yj5Stf6drCO4JL4ryDUmXY9vMiQ/Ki3ewnL/GLMvUO0bGsau1HwBw5aIqXNxYiiZ1m8Hj+85Mur+Y9h+pn15YNbcEeXoJdscoTvcm1lffwh31lGL5eXrtNY7D8oiIksegPsv51tklFsiVFxhhMuggy4G9a2JQXiF76omSZk1hT31/gj31gpiCL/zHE0diXoH4brUE/7F9nWHL2EXp/Yo5xUkPTStJYvp9eYEpoNIonrYUUUbenCW76l8+0Q2PV8b8ygLUlVkgSRI+cdFcAMDDb52eVJ4sKiUiTb4XzEY9zq8rAQD8z1un496aMTru0Sq9cmUIG+UG9tUTEaUOg/os58vUJxbUS5KkDcvzn37M6fdEqSNW2qVi+n1vnDvqg+XnBb6sx7MC0T2hHErsaO7Dui0vhDwM2C+G5CXZTw/4yu8HEthT/8KxcxhyT6DEkof/+cyauHqKRU/9GYcLo+OJHcTYHS68caonJasln1dL769Y7Bto+KEL5sBk0OFY1xD2tPUH3P/QGaX8fmmEIXn+xOHtQ6+1hP2+htPeNwJZVv5dTXi80R9AFCPRV89MPRFR8hjUZ7n2PjVTn8A6O0H01Xeo2Rb3hEcrxWf5PVHytJV2qZx+n2CPaaiS8lhWINodLvzy5WbtY68MbNp2EC1B2ey3Tysr7+oSbAnyZ0siU/+IOkRu4+o6vHtBRVxtKWVWIwrzDZBlX794PLbuasO6LS/gpgd3xB0kB5vwePGSunrwqsVV2u02Sx5uWDkbAPDwW77nPzc4iu4hN3QSsHhW9Ey93eHShvAB8R3yAMD/vHkagNL7/K4fvJjU10rkb5YW1GfPakkiolzFoD6LybKsTb9PdFAe4L+rXnku/2FezNQTJU9Mv3emoKe+N8ny+0RXIIYaPOeVgWvvfwVffGQPnj5ox0OvNuOUGuRveuxg0gGeGAYYb1Df3jeCV9TVex9bXRvl3pNJkoTGCmVqfPChRTRi6r74u4o3SA62+3S/OigsDxeoZfLCP1yslOA/cdCutWWIVXbzKgtgNkYekgco39fg4eKxHPIASpn/7986rX2c7NdK5E8cxDFTT0SUPAb1WWzQNaFNqa8pTjwrNidoV70YkmfO00OfZE8sEfn21I+kYPp9n9MNILGVdkDiKxBDHQYAwJjHiycP2PGFh/fgu08e1W5PRYCX6J76P77dDlkG1s0rS3h4mxiW1xznsLxIU/cT8byaRb98YeWk1+OVc2xYOrsIYxNe/HlPBwDf5PtYhuQB4b+vwW0awewOF2793duTbk/mayXyV82eeiKilGFQn8XEOrvyAlNMGZlw5gT11A+JHfUckkeUEqL8fszjDdgykYh+p5K1LrWaEn6ORPZXhzoM2LJhOf7yxXX4x/WNKA9ROZBsgCcy9c4xT8x/b+MeL7buagcA3LRmbsJ/dqK76pOZuh/K836r7IIFDMzb0QavV9aG5MXaTx/8fRW+9sf9ODcUOpg63evER/7rTdgHJ38+ma+VyB/L74mIUodRXRZLdvK9ELyrXpQIF7L0nigl/A/dRsYmYDQklmV3T3i0IZaJlt8Lieyv3ri6DusXVKC1ZwT15Rbt8Stri3HLJXOx7gcvBpRyJxvgFeYbIEmALCvD8ioL86M+5oVj53BuyI3yAiOuXlIV9f7hiKD+QMcA7A5XzH9X1TYzmiqtOHlOOQzQSYh56n6w1h4nTnU7YdBJWL+gIuR9bjxvNu556ihaepx4s7kXh8+ITH30fnrB//tqztPhi4/sRUuPEzc/tBOPfv7igB3hJ84O4RP/vQPnhtyoL7PgY2vq8MNn3oFHluPaMEAUjX/5vSzLkCRWDhIRJYqZ+iyW7OR7QUy/tztGMeHxYniUO+qJUslo0MGoV15Ok1lrJ4bkGXQSijJUSVNtM2NtU9mkwG12sQVbEijrj0Snk7Rd9Y4Y++rFgLwPr6qF0ZD4r7ATZ4cAAMfPDsc17M7rlXF20K19/O/vXxrz1P1gz6lZ+jUNpSjKzwt5H6vJgA+eXwMA+M8XTmiHs0viCOoB3/f1vLoSPHLrRagsNOFY1xBu+fVODI0qf/eHOh3Y+Ku3cG7IjYVVhfjjP67FbZc2xV31QRSLWUXKId7ImAeDo8nPIyEimskY1WUxX1CfXKljZWE+8vQSxj0yzg65tT59DskjSh2LSY+xEW9Sa+16h5WgvsRqzMqsVbhMfjJKLEYMjIyjP4agPtkBeYLd4cLPXjypfSzmA6yPYYp+a69Ta2ECfAcxiRBT6a9cHLni4KaL6vA/b53GW83K5oGGcisKwxwCxGJumRX/+7mLsPGXb2J/hwOffGgnrl8+Cz95/gScbg9WzLHhd59egxK1WiSRqg+iaMxGPYoteRgYGUeXY1Q74CMiovgxU5/FxDq72tLk3kzpdZL2hqyjb0QblMdMPVHqiL76ZDL1/erAuLIkS+/TKVwmP1G2OIblpWJAHpDcsLsDHY6Aj0/FOT1fGBwdx84WJUi/ctHkfnp/i6uLsGqubzJ+YxJfu7CgqhC//8xFMBl02Nc+gHueOgan24OGMise/txFWkBPlE6+Enz21RMRJYNBfRZLVaZeeQ5fX70ovy/koDyilLGoffXJZOr7klxnl4tKxK56V+RMfaoG5AGJr/0DgP0dAwB8h62nzg0ndA0vv9ONCa+MpgprTAcUTRW++7xw7FxK9sWXFxox5gkcUHi6z6nNdSBKN07AJyJKDQb1WUqW5ZQNygN8w/I6+l3aGzaW3xOljsWUfKbev/x+pijWdtVHztSnakAe4JsI79/hEOt8gINqpv6D5yl97s09w/AGp/1jIErvr4pSeg8oWcw/7e7QPpaRmn3xoXbYe2VwZR1NGd8EfAb1RETJYFCfpQZGxrXgQATkyRDZ/k6/oJ7l90SpYxWZ+rHkM/XZXH6far7y+8iZ+lQNyBM2rq7DH269GACQp5fwAXUYXSQTHi8OnVGC+veumA2jXofRca82vC5WEx4vXnxHCeqviFJ6DyTXLhBJMhULRKlQXcS1dkREqcCgPkuJHfXF5jytzzYZYgJ+x8AIy++J0sAieurdSWTqZ2T5vfK1RhqUt/t0H14+nvyAvGAXNZSivMCIcY+sZeAjOXFuGKPjXhSYDJhfWaAFv6e64yvB39M2gIGRcdjMeQG98uGkK/gO3mHPlXU01ZipJyJKDQb1WUr0jg64xuNatxSO1lPf78Kwmkm0+u3WJqLkWE3JZ+r7Z2CmvljtqXe4Qh9ebt3Vhg8/8Kb28Y6W3pT92ZIk4cK5pQCAna19Ue9/QO2nX1ZTBJ1OQlNFAYD4h+U9f0xZZXfZwgoY9NF/Dacz+N64uo4r6yhjxL9h9tQTESWHqdosZHe4tFJTIL51S+GIEv4zA6OoLVWyOwVJrEQiokCinSWZTL1vUJ4pJdeUC0RQH6r83u5wYdO2g/CvPE/2tTDYhfUleOZwF3a19AGXRb7vfjWbv2JOMQD4BfWxZ+rtDhf+tv8MgOir7PylY52gwJV1lCnVxRyUR0SUCgzqs1BLjxPBY5dE/2Sib7yqbfnQ6ySMebxo7VWyShyUR5Q6qeip73W6AQAl1plz4FYcofw+Ui95qoLQNQ1Kpv7t0/3weGXog+vc/RzUgnobAKCpUplIH+sE/K272rBp20Hta+oddsd1rQy+abqZpfbUD7knMDQ6jkImG4iIEsLy+yyUjv5Jg16n/fJs71MG0jCoJ0odrac+JYPyZlCmXh2U5wgxO0QM0fOX6kFuS6qLYDXqMTQ6geNnh8Lezz3hwbGuQQDAykmZ+ujl96LqwP+Q4ntPHOWAMJrRrCYDitT5PszWExEljkF9FkpX/2RN0Gq8Ag7KI0oZrac+wfJ7j1fWdrXPxEF5ofbU/2Fn4CyRdAxyM+h1uEAdVrcrQl/9UfsQxj0ySix52oySRjWo7xl2wxFlen+6JtgT5Trx88xheUREiWNUl6XS0T85p9iMnX4fF5g4KI8oVZLN1A+MjGk7w0ssM6cE1aZ+rSNjHrgnPDAZlNelk+eG8IedysDQn990PkqtppT3kgur60vx6oke7Gzpw81r60PeRwzJWzGnGJJ64FpgMqDalg+7YxSneoZxQV34SfaiAss/sOf6OCJlAv47Z4eYqSciSkLCQb3X68XJkydx7tw5eL3egM+tX78+6Quj1PdPzgnO1JtmTuBAlG6+6feJZepF6b3NnBfTRPTpotBk0IJdx8g4KouUv8d7njoGj1fG1Uuq8N4Vs9N6DRfW+zL1sixrQbu//e1KP/1KtZ9eaKooUIL6c5GD+mqbGd+4diG2PPMOAEAngevjiADMLuZaOyKiZCUU1L/11lu46aabcPr0achyYD2hJEnweBKf/kzpw/J7ovTx7alPLFPfOwPX2QGATieh2GJEn3MM/SPjqCzKx+sne/DCsXMw6CRsum5R2q/h/NoS5OklnB10o6PfpW0I8Scy9cvVfnqhqcKK1072xNRXP7tEed6GciseufUiBvREAGYVqWvtBjlfgogoUQmlg2677TZceOGFOHToEPr6+tDf36/919cXfdcvZUZNceAbVUsey++JUsWqBvXJZupnUj+9IIblDYyMweOV8b0njwIA/uHiuVrfejqZjXosq1Ey8DtbJv8Oc7oncFJdWzcpU18Z+1q7vW39AID188sZ0BOpqm1Kpv7MADP1RESJSihVe+LECfzpT3/CvHnzUn09lEb+5fcFJgN0EVY3EVF8LGr5/XCCmfqZHNSLvvoB1zj+vKcDR+2DKMw34CtXzp+ya1hTX4q9bQPY1dqHD62aE/C5Q50OyLKyfqtS3SIixLOrfk/bAABog/mISOmpBzj9nogoGQll6i+66CKcPHky1ddCaVZd7HszynV2RKmVqkx9WcHMC+rFBHz7gAv3/l3pOf/yFfOm9IBjdb2yr35niAn4B4L20/sTQf3p3hGMTXgnfV4YHffgyBnlec6vZVBPJIhMfaT1jnaHC2+c6uEKSCKiMBKK7L785S/j61//Orq6urB8+XLk5QUOXFuxYkVKLo5Sy2TQo6rIhLODbm2oFxGlhsWo/Ewl2lMvgnoR4M4kovz+gZdP4eygG3NKzLjlkvopvYZVava8uduJ3mE3ygpM2uf2q/30K2uLJz2uqsgEq1EP55gHbX1OzKssDPn8h884MO6RUV5gRG0pS++JhOpi5edhcHQCTvcErEFJh6272rBp20F4ZWXA5OYNy7FxdV0mLpWIKGslFNR/6EMfAgB85jOf0W6TJEmbGsxBedmrptiMs4NuAMrJN/s6iVJDvBF1T3gx4fHGPcG+dwaX3xerBxnitenf3rNIW203VUqsRiyoKsDxs8PY1dqP9yybpX0uUqZekiQ0VRbgQIcDJ8+FD+r3nB4AAJxfVxJyuj7RTFVgMqDQZMCQewJdg6Na9QugvE8RAT2gbMm4c9shrF9QwfcvRER+Eiq/b2lpmfRfc3Oz9r+UvTzqb8ZT3U6s2/ICtu5qy/AVEU0PIlMPACPj8R9s9s/g8vv2/pGAjxOtdkiWKMHf5VeC3+8cQ1ufcn3LayYH9UBsffV725UheefXFafiUommFdFXbw8altfS7dQCesEjy2jtCXzNICKa6RLK1M+dOzfV10FTwO5waRkngCfeRKlkMuig10nweGWMuD0oys+L/iA/vky9Kco9pxe7w4XnjpwNuO2bjx3CpQun/nVpTUMpHt7RFhDUH+xUXjPnllm0ioJgTRVWAJGDepGpj7TLnmimmmXLx4lzwwE987Is49mg1wYA0EsS6ssnr50kIprJEp6WdurUKdx///04elRZPbRkyRLcfvvtaGpqStnFUWq19DgRdOCtnXgzqCdKjiRJsBj1GBqdgHMs/kxzn1MpPS+dYT312fS6JDL1h88Mar29Yj/9iqD99P58mfrQu+rPDLjQNTgKvU4KWcJPNNNVB03Al2UZ9z17HL95oxUAIAHa68TdNyzhexYioiAJld9v374dS5Yswc6dO7FixQqsWLECO3bswNKlS/Hss8+m+hopRRrKrQjeYscTb6LU0Sbgu+Mrv5dl2bfSboaV32fT69LsYjNqis3weGXsVdfP7Verm4L30/sTu+qbzw1DloOPKKA916JZhbAYuXmEKJgI0u2Do0pA/9wJ/PQFZcvSt967GG9sugLl6ryRueXWjF0nEVG2Siiov+OOO/DVr34VO3bswI9//GP8+Mc/xo4dO/DP//zP+Ld/+7dUXyOlSLXNjM0blkOvDmnSSxLu2bCMJ95EKSJ21cebqR9yT2DcowSDZTNsUF62vS6trlfK48Vqu1gy9XPLLNBJyvexe8g96fN72pR+epbeE4UmMvVHzwziP544gp8+fwKAEtB/7t2NqLaZcdmiSgDAm6d6M3adRETZKqGUwdGjR/HHP/5x0u2f+cxncP/99yd7TZRGG1fXYf2CCrT2jKC+3MKAniiFfLvq4wvqxZA8i1GP/LyZt24ym16XVjeU4vF9Z7CrpQ9nB0dxdtANnQQsnV0U9jEmgx51pRa09o7gZPcwKovyAz6vBfVzi9N56UQ5652zQwCAve0D2Ns+AAD45vVKQC+sbSzDn3Z34M1mBvVERMESytRXVFRg3759k27ft28fKisrk70mSrNqmxlrm8oY0BOlmG9XfXzl9zN5nZ2QLa9La9S++r3t/dh9WgnG51UWTNqdHSxcX717woPDnYMAgPNrmaknCmZ3uPA7tXdekAC8b2V1wG1rm8oAAIc6HRgaHZ+iqyMiyg0JZepvvfVWfP7zn0dzczMuueQSAMDrr7+OH/zgB/ja176W0gskIsoVBabEMvV9wwzqs0VTRQGKLXkYGBnHH3YqKz8jld5rj6sswPPHzuHUucAJ+IfPDGLM40Wp1Yi5ZZxfQhSspWfy2joZmDQsc3axGXPLLDjdO4JdrX24YlHV1F4oEVEWSyiov+uuu1BYWIh7770XmzZtAgDMnj0b//7v/46vfOUrKb1AIqJcYVGD+ngz9X3M1GcNnU7ChXNL8dzRs3j1RA+AyEPyhHBr7facFv30xZAkadLjiGY6MSzTP7APNyxzbWMZTveO4M1TvQzqiYj8JFR+L0kSvvrVr6KjowMOhwMOhwMdHR24/fbb+aaFiGYsq1p+H3emfoRBfTZZ0xBYJh9Tpl6U3wdl6kV/8PkckkcUUjzDMkUJPvvqiYgCJb1bp7CwMBXXQUSU88S6MudYYpn6mTb5PluJffUAYNABi6qj/54TQf0Zx6i24x4A9qqZ+vPrilN/oUTTRKzDMtc2KkH94TODcIyMw2bJm8rLJCLKWjEH9RdccAGef/55lJSU4Pzzz4+Ykd+zZ09KLo6IKJdY1ZV2I+74MvW9ak99CYP6rHDUPqj9/wkv8PjeTmxcXRfxMSVWI8qsRvQ6x9DS48SyGhu6HKM44xiFTgJWxpDtJ5rJqm3mqIMyK4vy0VhhRXO3EztaenHN0llTdHVERNkt5qD+xhtvhMlk0v4/y+yJiAIlnqlXdpszU595docL33r8UMBtd247hPULKqIGHE0VBeh19uFU9zCW1diwV11lt3BWUdTp+UQUm7WNZWjuduLNZgb1RERCzO8y7r77bu3///u//3s6roWIKKdpmfp4e+q1QXmmlF8TxSfUJG6PLE+axB1KU6UVO1v7tL56bT89S++JUmZtUxke3tGGN0+xr56ISEhoUF5jYyN6eye/mA4MDKCxsTHpiyIiykUiUz8c7/R7DsrLGmISt79wk7iDBe+q39s2AAC4gEPyiFLmYrWv/ljXEHqH3Rm+GiKi7JBQUN/a2gqPZ/KbVrfbjY6OjqQviogoF2nT7+PsqRd76ll+n3nxTOIO5gvqhzE24cWBTgcADskjSqXyAhMWVinDK3e09GX4aoiIskNcTX5//etftf+/fft22Gy+3b0ejwfPP/88GhoaUnd1REQ5RNtTH0dP/ei4R7s/B+Vlh1gncQcTQX1zjxOHzjgwNuFFiSUPDeXWdF4u0YyztqkM75wdwpunenH98upMXw4RUcbFFdR/4AMfAKDsqb/lllsCPpeXl4f6+nrce++9Kbs4IqJcksieetFPn6eXUJTPYWrZIpZJ3MFqSswwGnQYm/Dib/vPAFD203OwLFFqXdxYht++0cp99UREqrjeQXq9XgBAQ0MDdu3ahfLy8rRcFBFRLtKm38fRUy+C+hKLkcFfjtPrJDSWW3Gsawh/2acG9bXFmb0oomno4sZSSBJw8twwzg2NorIwP9OXRESUUQn11Le0tDCgJyIKksj0e9/ke5beTweiBF98Xy+YyyF5RKlWbDFi8awiAMBbzYn31dsdLrxxqgd2hytVl0ZElBExZ+p/+tOf4vOf/zzy8/Px05/+NOJ9v/KVryR9YUREuUZk6kfGPPB6ZeiCx6iHwKB+emmq8PXPSxKwkpl6orRY21SGI/ZBvHmqF+9fOTvux2/d1YZN2w7CKwM6Cdi8YTk2rq5Lw5USEaVfzEH9fffdh0984hPIz8/HfffdF/Z+kiQxqCeiGUlk6gHANe6B1RT9JbaXQf200lRZoP3/xnIrCmL4N0BE8VvbWIaHXmvBWwn01dsdLi2gBwCvDNy57RDWL6iIe5YGEVE2iPndRktLS8j/T0REinyDHpIEyDLgHJuIKajvcyp7lrnObno4dW7Y9/+7ndi6q43ZP6I0WNNYCp0EtPQ40eUYxSxb7H31LT1OLaAXPLKM1p4RBvVElJMS6qknIqLJdDoJljyxqz62YXl9znEAQKnVlLbroqlhd7jwsxdPBtx257ZD7NclSoOi/Dwsq1FWK7/Z3BPXYxvKrQhujtJLEurLLSm6OiKiqRVzpv5rX/tazE/64x//OKGLISLKdRaTAc4xD5wxDssTmfpSa146L4umALN/RFNrbWMZDnQ48OapXnzw/DkxP67EYoTVZMCw2/c6/a33LebPKRHlrJiD+r179wZ8vGfPHkxMTGDhwoUAgOPHj0Ov12PVqlWpvUIiohxiNerRDWVYXix8g/KYqc91DeVW6CQEBPbM/hGlz8VNZfjlK81x76v/y75ODLsnUFVogkeW0TM8hoZya/QHEhFlqZjL71988UXtvxtuuAGXXnopOjo6sGfPHuzZswft7e24/PLL8d73vjed10tElNVEH73THVumnoPypo9qmxmbNyyHXlIKe/WShHs2LGP2jyhNVteXQq+T0N7nwl/3dcbU6uL1yvjVK80AgFvXN2L9/AoAwJ7T/Wm9ViKidEpoLO+9996Lv//97ygp8e3fLSkpwfe+9z1cc801+PrXv56yCyQiyiVWv7V2sehXg/qyAgb108HG1XVYv6ACrT0jqC+3MKAnSqMCkwE1xflo63PhK4/ui2k13YvvnMOpbicK8w342Jo6PL63E9v2dmJ3G4N6IspdCQ3KGxwcRHd396Tbu7u7MTQ0lPRFERHlKou61i6WTL3HK2PAJQblMaifLqptZqxtKmNAT5RmdocL7X2+7LxYTRcpY/9LNUt/00V1KDAZsGqukqDa1zaACY83vRdMRJQmCQX1H/zgB/HpT38a27ZtQ0dHBzo6OvDnP/8Zn/3sZ7Fhw4ZUXyMRUc6IJ1PfPzIGWe2/LjZzUB4RUTxaepwImk2pDacMZV/7AHa29CFPL+HTlzQAABZUFaJAHXD6zlkmpogoNyUU1P/Xf/0XrrvuOtx0002YO3cu5s6di5tuugnvec978Itf/CLV10hElDMsRjVTH8P0ezEkr9iSB4OeG0aJiOIhhlP600kIO5zyQTVL//6VNdpee71Owvl1xQDYV09EuSuhd5EWiwW/+MUv0Nvbi71792Lv3r3o6+vDL37xC1itnB5KRDOXGJQXy5763mEOySMiSpRvOKXvtvw8PSY8wfl7oK13BE8fsgMAPr++MeBzF9QpJfi7GdQTUY5KKjVktVqxYsUKrFixgsE8ERHiy9T3jyhBfZ5OimlqMxERBdq4ug6v3XEFfveZ1Vg0qxAjYx7c+vu3J801eei1Znhl4NIFFVg4qzDgc6KvnsPyiChXJRTUO51O3HXXXbjkkkswb948NDY2BvxHRDRTxbPS7u+HuwAA75wdxrotL2Drrra0XhsR0XRUbTPj0gWV+M2nV6O8wIRjXUP4l//bD69Xydj3O8fwx7c7AAD/uH7y+9Tz6oohSUB7nwvnBken9NqJiFIhoZV2n/vc5/Dyyy/jk5/8JKqrqyFJUvQHERHNAL5MfeTye7vDhb/sO6N9LKY2r19QwanpREQJqLaZ8ctPXoCP/eotPH2oCz978SS+cuV8/O9bp+Ea92Dp7CKsbSqb9Lii/DwsrCrEsa4h7Gnrx3uWVWfg6omIEpdQUP/000/jySefxLp161J9PUREOU2bfh8lUx9pajODeiKixKyaW4rvfWAZ/u3PB/HjZ4+j2JKHB19VBuR9fn1j2ETUBXNLcKxrCLtPM6gnotyTUPl9SUkJSktLU30tREQ5T9tTHyVT31A+eQ6JXpLCTm0mIqLYbFxdh09dUg8A+PZfDmNwVDlkjdQWtYrD8ogohyUU1H/3u9/Ft7/9bYyMhN4DSkQ0U/n21EfO1FfbzKgr9WXk9ZKEezYsY5aeiCgFPvOu+km33fX44bBDScWwvEOdg3BPRN9eQkSUTRIqv7/33ntx6tQpVFVVob6+Hnl5eQGf37NnT0oujogo14ie+lhW2nm8yv/+x41LcfWSKgb0REQp0tE/OXiP1OI0t8yCMqsRvc4xHOoc1IJ8IqJckFBQ/4EPfCDFl0FEND1o0++jZOplWUb3kBsAcMWiSgb0REQp1FBuhU5ShpAKkVqcJEnCBXNL8OyRs9hzup9BPRHllISC+rvvvjvV10FENC3EmqkfGBnHmJqqryg0pf26iIhmkmqbGZs3LMed2w7BI8sxtTitUoP63af7cesUXisRUbISCuqF3bt34+jRowCApUuX4vzzz0/JRRER5Sr/TL0sy2EnLZ9Ts/QlljyYDPopuz4iopli4+o6rF9QgdaeEdSXW6JWRIns/O62/oiv30RE2SahoP7cuXP42Mc+hpdeegnFxcUAgIGBAVx++eV49NFHUVFRkcprJCLKGSJT75UB94QX+XmhA/ZzQ6MAgMrC/Cm7NiKimabaZo65vWl5jQ15egndQ2509LtQW8ptJESUGxKafv/lL38ZQ0NDOHz4MPr6+tDX14dDhw5hcHAQX/nKV1J9jUREOcNi9J2VRlqfdHZQydRXFrH0nogoG+Tn6bF0tg0AV9sRUW5JKKh/5pln8Itf/AKLFy/WbluyZAl+/vOf4+mnn475eR544AGsWLECRUVFKCoqwtq1a2N+/KOPPgpJkji0j4iyil4nwaxm50ci7KoXmXr20xMRZQ+tBJ9BPRHlkISCeq/XO2mNHQDk5eXB6/XG/Dxz5szBli1bsHv3brz99tu44oorcOONN+Lw4cMRH9fa2op/+Zd/wbvf/e64r52IKN2sJiWojzQB/5zI1LP8nogoazCoJ6JclFBQf8UVV+D222/HmTNntNs6Ozvx1a9+FVdeeWXMz3PDDTfg+uuvx/z587FgwQJ8//vfR0FBAd56662wj/F4PPjEJz6B73znO2hsbEzk8omI0kqU4DsjTMAX6+yqWH5PRJQ1RFB/rGsQwxFaqIiIsklCQf3PfvYzDA4Oor6+Hk1NTWhqakJDQwMGBwfxn//5nwldiMfjwaOPPgqn04m1a9eGvd9//Md/oLKyEp/97Gdjel63243BwcGA/4iI0klbaxcpU89BeUREWaeqKB81xWZ4ZWB/+0CmL4eIKCYJTb+vra3Fnj178Nxzz+HYsWMAgMWLF+Oqq66K+7kOHjyItWvXYnR0FAUFBXjsscewZMmSkPd97bXX8NBDD2Hfvn0xP//mzZvxne98J+7rIiJKlLbWLkKmnoPyiIiy06q5JegccGH36X6sm1ee6cshIooqrkz9Cy+8gCVLlmBwcBCSJOHqq6/Gl7/8ZXz5y1/G6tWrsXTpUrz66qtxXcDChQuxb98+7NixA1/4whdwyy234MiRI5PuNzQ0hE9+8pN48MEHUV4e+wvspk2b4HA4tP/a29vjuj4ionhFy9TLsuyXqWdQT0SUTdhXT0S5Jq5M/f33349bb70VRUVFkz5ns9nwj//4j/jxj38c1wA7o9GIefPmAQBWrVqFXbt24Sc/+Ql++ctfBtzv1KlTaG1txQ033KDdJobyGQwGvPPOO2hqapr0/CaTCSYT3zQT0dSxip76MNPvh9wTGB1XXr9Yfk9ElF1EUL+nrR9erwydTsrwFRERRRZXpn7//v14z3veE/bz11xzDXbv3p3UBXm9Xrjd7km3L1q0CAcPHsS+ffu0/97//vfj8ssvx759+1BbW5vUn0tElCoWMf0+zJAlMfm+MN8As5rVJyKi7LBoViHMeXoMjU7gT3s6YHe4Mn1JREQRxZWpP3v2bMhVdtqTGQzo7u6O+fk2bdqE6667DnV1dRgaGsIjjzyCl156Cdu3bwcA3HzzzaipqcHmzZuRn5+PZcuWBTy+uLgYACbdTkSUSSJTPxIuqGfpPRFR1jLodai25aO5x4lv/OkAdBKwecNybFxdl+lLIyIKKa6gvqamBocOHdLK5YMdOHAA1dXVMT/fuXPncPPNN8Nut8Nms2HFihXYvn07rr76agBAW1sbdLqEBvQTEWWMlqkPU37PHfVERNnL7nChpcepfeyVgTu3HcL6BRWotpkzeGVERKHFFdRff/31uOuuu/Ce97wH+fmBb0ZdLhfuvvtuvO9974v5+R566KGIn3/ppZcifv63v/1tzH8WEdFU0TL1YQblaZl6Tr4nIso6LT1OyEG3eWQZrT0jDOqJKCvFFdR/61vfwrZt27BgwQJ86UtfwsKFCwEAx44dw89//nN4PB5885vfTMuFEhHlCjH9PtxKO5Gprypipp6IKNs0lFuhk5QMvaCXJNSXWzJ3UUREEcQV1FdVVeGNN97AF77wBWzatAmyrLzaSZKEa6+9Fj//+c9RVVWVlgslIsoVYk99+Ey9KL9npp6IKNtU28zYvGE57vjzQS1jf8+GZczSE1HWiiuoB4C5c+fiqaeeQn9/P06ePAlZljF//nyUlJSk4/qIiHJO1Ey9Wn5fwaCeiCgrbVxdhzklFnziv3dALwFXLmbSioiyV8JT6EpKSrB69WqsWbOGAT0RkZ+oPfUclEdElPXWzSvHytpieGTg8b2dmb4cIqKwOFqeiCjFok6/F+X3HJRHRJTVPrJqDgDgj2+3a22nRETZhkE9EVGKRdpTPzI2gWH1dg7KIyLKbjesnA2TQYfjZ4dxoMMR02PsDhfeONUDu8OV5qsjIlIwqCciSjFrhEy9KL23GPUoMMU91oSIiKaQzZyH65bNAqBk66PZuqsN67a8gJse3IF1W17A1l1t6b5EIiIG9UREqWaJ0FPPyfdERLnlIxfWAgD+uv8MRsdDt1UBSoZ+07aD2io8rwzcue0QM/ZElHYM6omIUkystBv3yBib8AZ8Tky+55A8IqLcsLaxDDXFZgyNTmD74a6w92vpcQbstgcAjyyjtWckzVdIRDMdg3oiohQTK+2Aydn6s2r5fQWH5BER5QSdTsKH/QbmhVNunfy6rpck1Jdb0nZtREQAg3oiopTL0+tgNCgvr8F99SJTX8VMPRFRzhBB/esne9HeFzrz/l8vn5p023c/sBTVNnNar42IiEE9EVEaWNVsffAE/O5BrrMjIso1taUWrJtXBgD4856OSZ9/5lAXtu3thE4CfvXJVchXD3ZX15dO6XUS0czEoJ6IKA3EsLzJmXoOyiMiykUfWaUMzPu/tzvg9Wue7x1245uPHQQA3HZpE65ZOgtLZhcBAI52DU39hRLRjMOgnogoDcRau+BMPQflERHlpvcsm4XCfAM6B1x4q7kXACDLMr752CH0OsewaFYhbr9qPgBgUbUS1B+zD2bseolo5mBQT0SUBuEy9WdZfk9ElJPy8/S4YeVsAL6BeX/ZdwbPHO6CQSfh3o+uhMmgHOgumlUIAHiHmXoimgIM6omI0kBk6p1+mfrRcQ8crnEAHJRHRJSLPqrurH/6UBdOnB3Ct/9yCABw+5XzsXS2Tbvfollqpp5BPRFNAQb1RERp4MvU+4L6brWf3mjQochsyMh1ERFR4lbOsWFBVQHcE1588BevY3B0Aivn2PCFy5oC7rdQzdR3Dri0w1wionRhUE9ElAa+6fe+8nv/IXmSJGXkuoiIKHGSJGF+pRKwD6uv71ctroJBH/iW2mbOw2ybUpF1/Cyz9USUXgzqiYjSwGIKlakXQ/LYT09ElIvsDheePmQPuO3+507A7nBNui+H5RHRVGFQT0SUBlqm3m9QnjYkj/30REQ5qaXHCb9tdgAAjyyjtWdk0n3FsDyutSOidGNQT0SUBlpPvd+gPLHOroqT74mIclJDuRW6oO4pvSShvtwy6b4LOQGfiKYIg3oiojTQ9tT7ZerPaevsmKknIspF1TYzNm9YDr06F0UvSbhnwzJU28yT7rtYLb9/p2sI3uD0PhFRCnH8MhFRGoTO1CtBfQV76omIctbG1XVYv6ACrT0jqC+3hAzoASWrb9TrMOyeQOeAC7Wlk7P5RESpwEw9EVEahMzU+02/JyKi3FVtM2NtU1nYgB4A8vQ6NFUWAOC+eiJKLwb1RERpEGpP/blBMf2e5fdERDPBYrWvnhPwiSidGNQTEaWBVQ3qxZ76cY8Xvc4xAByUR0Q0UyyqVoN6ZuqJKI0Y1BMRpYFFLb8XmfqeYaX03qCTUGIxZuy6iIho6iycpe6q72KmnojSh0E9EVEaFJjUTL3aUy8m31cUmqAL3odERETTkii/b+lxYnTcE+XeRESJYVBPRJQGFqOaqVen33NIHhHRzFNRaEKp1QivDJw4O5zpyyGiaYpBPRFRGoieeveEFxMeL86qQ/IqOCSPiGjGkCQJC6tEXz1L8IkoPRjUExGlgeipB4CRcY+WqeeQPCKimYXD8ogo3RjUExGlgVGvg0HtnR9xe9A9xHV2REQz0WIOyyOiNGNQT0SUBpIk+frqxya0QXmVzNQTEc0oC9Vhee8wU09EacKgnogoTazqBHyne4KD8oiIZqgFVYWQJKBneAzd6u8CIqJUYlBPRJQmvgn4Hm1QHsvviYhmFrNRj4YyKwCW4BNRejCoJyJKE5GpHxodR88wB+UREc1ULMEnonRiUE9ElCYiU9/e74JXBnQSUFbAoJ6IaKZZpA7LO2pnUE9EqcegnogoTcSu+tYeJwAloNerE/GJiGjm8K21Y/k9EaUeg3oiojSxqOX3rb1KUM8heUREM9Mitfz+xLlhTHi8afkz7A4X3jjVA7vDlZbnJ6LsZcj0BRARTVdWtfy+uZtBPRHRTFZbYoHFqMfImAetvU7MqyxM6fNv3dWGTdsOaq1emzcsx8bVdSn9M4goezFTT0SUJha1/P6MmjWpKuLkeyKimUink7Rheanuq7c7XFpADwBeGbhz2yFm7IlmEAb1RERpYjUpmXpZfaPFTD0R0cwlhuWlegJ+S49TC+gFjyyjtWckpX8OEWUvBvVERGkiMvVCBTP1REQzluirT/WwvJpi86Tb9JKE+nJLSv8cIspeDOqJiNJEZOoFZuqJiGauRWkqv999uj/gYwnAPRuWodo2OdgnoumJQT0RUZoEZ+oZ1BMRzVyi/L5zwIXB0fGUPKcsy/jtG60AgPmVBQCAhbMKOSSPaIZhUE9ElCYFQZl6DsojIpq5bJY8VNuU3wPHw/TVx7uWbm/7AA50OGA06HDfxvOU5z47hKEUHRoQUW7gSjsiojQJztSXFzBTT0Q0ky2aVQi7YxRPHrSjpsSslci7Jzz4zxdO4ucvnISM2NfS/U7N0t+wYjaW1dhQV2pBW98Idp/ux2ULK9P81RBRtmBQT0SUJv499aVWI4wGFkcREc1kYkj9b15vxW9fb8WahlKMjHlw1O7AhNd3P7GWbv2CirC98ecGR/HkATsA4FOX1AMALmooRVvfCHa09DGoJ5pB+A6TiChN/DP17KcnIprZ7A4XXn6nW/tYBrCjpQ8HOwMDeiHaWrqHd7Rhwitj1dwSLJ9jAwCsaSgFAOxs6UvptRNRdmNQT0SUJla/oL6CQT0R0YzW0uOEHOL226+cjz9/YS100uTPzSkJPYtlbMKLh3e0AfBl6QHg4sYyAMCBjgG4xjzJXjIR5QgG9UREaWLxK7/nkDwiopmtodw6KXDXSxI+tqYWq+aWYvOG5dBLgXf46357yOd66qAdPcNuVBWZ8J5ls7Tb55SYUW3Lx7hHxt62/pCPJaLph0E9EVGaWFl+T0REqmqbOSBw10tSwD75javr8Nodl+MPt16Mu967GABw37PHcajTMem5xBq7f7hoLvL0vrfzkiThIrUE/y2W4BPNGByUR0SUJvl5vjdaJg7JIyKa8TaursP6BRVo7RlBfbll0hC8apsyEf/ixlLsau3HM4e78NWt+/C3L78L+XlK9de+9gHsax+AUa/Dxy+aPB1/TUMZHt93BjtbeqfkayKizOO7TCKiNPnj2+3a/7//uRPYuqstg1dDRETZoNpmxtqmsrBT7QEl437PhuUoLzDhxLlh/Gj7O9rnxBq7962sDrkq9aJGJVO/t20A7gn21RPNBAzqiYjSwO5wYdO2g9rHMpT1RHaHK3MXRUREOaPUasT/+/ByAMBDr7fgzVO9ODc0iicOnAEQOCDPX2O5FeUFJrgnvDjQMbl0n4imHwb1RERp0NLjhDdozHG09URERET+rlhUhY+vqYUsA//yf/tx39+PY9wjY9nsIqyYUxzyMf599TuaWYJPNBMwqCciSoNwU47ryy2ZuSAiIspJ33rvEtSVWtA54MIfdiltXYfPDEZs6RL76ndwWB7RjMCgnogoDaJNOSYiIoqF1WTAN69fFHBbtJYu0Ve/+3Q/xj3edF8iEWUYp98TEaVJtCnHREREsSg05026TbR0hfrdsqCyEMWWPAyMjOPwmUGcV1s8BVdJRJnCTD0RURrFMuWYiIgoknhbunQ6Cavr2VdPNFMwqCciIiIiymKJtHSJYXk72VdPNO2x/J6IiIiIKMvF29J1UUMZAGBnax88Xhn64FQ/EU0bDOqJiIiIiHJAtc0cczvX4upCFJgMGBqdwLGuQSydbUvz1RFRprD8noiIiIhomjHodbiwvgQAsKOZJfhE0xmDeiIiIiKiaWgN++qJZgQG9URERERE05B/X70syxm+GiJKFwb1RERERETT0PIaG/LzdOhzjuHkueFMXw4RpQmDeiIiIiKiacho0GHVXLWvniX4RNMWg3oiIiIiomlqTb1Sgv/kQTvsDleGr4aI0oFBPRERERHRNOUcmwAAvHmqF+u2vICtu9oyfEVElGoM6omIiIiIpiG7w4X/frVZ+9grA3duO8SMPdE0w6CeiIiIiGgaaulxwhs09N4jy2jtGcnMBRFRWjCoJyIiIiKahhrKrdBJk2+3GBkCEE0n/IkmIiIiIpqGqm1mbN6wHHopMLL/2h/3o3fYnaGrIqJUk2RZlqPfbfoYHByEzWaDw+FAUVFRpi+HiIiIiCit7A4XWntGYDJI+NIje3HGMYplNUV45NaLUZSfl+nLI5oR0hmHMlNPRERERDSNVdvMWNtUhgvmluJ/PncRyqxGHOocxGd/uwuuMU+mL4+IksSgnoiIiIhohmiqKMDvPrMGhfkG7Grtx23/uxttvU68caqHU/GJchTL74mIiIiIZpi3W/vwyYd2wjXuy9TrJGDzhuXYuLoug1dGND2x/J6IiIiIiFLmwvpSbN6wPOA27rEnyk0M6omIiIiIZqDKItOk27jHnij3MKgnIiIiIpqBQu2x10lAfbklMxdERAlhUE9ERERENAOJPfb+gf3CWYWYVZSfuYsiorhlNKh/4IEHsGLFChQVFaGoqAhr167F008/Hfb+Dz74IN797nejpKQEJSUluOqqq7Bz584pvGIiIiIioulj4+o6vH7HFdiyYTnydBKO2ofw8I62TF8WEcUho0H9nDlzsGXLFuzevRtvv/02rrjiCtx44404fPhwyPu/9NJL+PjHP44XX3wRb775Jmpra3HNNdegs7Nziq+ciIiIiGh6qLaZ8bE1dfi36xYBAL735BGcPDeU4asiolhl3Uq70tJS/PCHP8RnP/vZqPf1eDwoKSnBz372M9x8880h7+N2u+F2u7WPBwcHUVtby5V2RERERER+vF4Zt/xmJ1490YMl1UV47IuXwGTQZ/qyiKaFGbHSzuPx4NFHH4XT6cTatWtjeszIyAjGx8dRWloa9j6bN2+GzWbT/qutrU3VJRMRERERTRs6nYR7P7ISpVYjjtgHce/fj2f6kogoBhnP1B88eBBr167F6OgoCgoK8Mgjj+D666+P6bH/9E//hO3bt+Pw4cPIzw890IOZeiIiIiKi2D175Cxu/f3bAICffOw8VBSa0FBuRbXNnOErI8pd6czUG1L6bAlYuHAh9u3bB4fDgT/96U+45ZZb8PLLL2PJkiURH7dlyxY8+uijeOmll8IG9ABgMplgMk3ewUlERERERJNdvaQKn7ioDg/vaMPtj+4DoKy627xhOTaursvsxRHRJBnP1Ae76qqr0NTUhF/+8pdh7/OjH/0I3/ve9/Dcc8/hwgsvjOv503lCQkREREQ0HbR0O3H5vS8F3KaXJLx2x+XM2BMlYEb01AterzegXD7Y//t//w/f/e538cwzz8Qd0BMRERERUXT2Qdek2zyyjNaekQxcDRFFktHy+02bNuG6665DXV0dhoaG8Mgjj+Cll17C9u3bAQA333wzampqsHnzZgDAD37wA3z729/GI488gvr6enR1dQEACgoKUFBQkLGvg4iIiIhoOmkot0InAV6/ml69JKG+3JK5iyKikDKaqT937hxuvvlmLFy4EFdeeSV27dqF7du34+qrrwYAtLW1wW63a/d/4IEHMDY2hg9/+MOorq7W/vvRj36UqS+BiIiIiGjaqbaZsXnDckiS77bvf3AZS++JslDW9dSnG3vqiYiIiIhi09w9jOt+8ircE178+QtrsWpu+FXSRBTejOqpJyIiIiKi7NBYUYD3rZgNAPjzns4MXw0RhcKgnoiIiIiIwvrQBTUAgCf2n8HouCfDV0NEwRjUExERERFRWBc3lmG2LR+DoxN44di5TF8OEQVhUE9ERERERGHpdBI+cL6Srf/z7o4MXw0RBWNQT0REREREEW1QS/BfOt6NnmF3hq+GiPwxqCciIiIioojmVRZi5RwbPF4Zf913JtOXQ0R+GNQTEREREVFUGy6YAwDYtpcl+ETZhEE9ERERERFFdcPK2TDoJBzqHMQ7XUOZvhwiUjGoJyIiIiKiqEqtRly+qBIAs/VE2YRBPRERERERxUTsrH98byc8XjnDV0NEAIN6IiIiIiKK0eWLKmEz5+HsoBtvnOrJ9OUQERjUExERERFRjEwGPW5YWQ0A2LanM8NXQ0QAg3oiIiIiIoqDmIL/zKEuDLsnMnw1RMSgnoiIiIiIYnZ+bTEay61wjXvwsxdOwu5wZfqSiGY0BvVERERERBQzSZIwv7IAAPBfL5/Cui0vYOuutgxfFdHMxaCeiIiIiIhiZne48OzRs9rHXhm4c9shZuyJMoRBPRERERERxaylx4ngbXYeWUZrz0hmLohohmNQT0REREREMWsot0InBd6mlyTUl1syc0FEMxyDeiIiIiIiilm1zYzNG5YHBPb/eu0CVNvMmbsoohmMQT0REREREcVl4+o6vH7HFVg0qxAAYNAzrCDKFP70ERERERFR3KptZnx8TR0A4MmD9gxfDdHMxaCeiIiIiIgSct2yWZAkYG/bAM4McPo9USYwqCciIiIiooRUFuVj9dxSAMBTzNYTZQSDeiIiIiIiStj1y2fh/7d373FRl/nfx98zw0FAZ1ABARWw1DIx87QGleZhTdZ6ZHTfedvJyq120y11s9XWzbbujdza0t9mrbkPs93y1tzUzXbTdcNDppkHNE95QJFSwBAFFBCE6/6DmBwBQxhmGHg9Hw/+mO91fa/v51ufxzifua7vNZL0yZ5sL0cCtEwU9QAAAADqbWR8lCRp+7HTyspnCT7gaRT1AAAAAOot0tFK/WPbSpI+2c1sPeBpFPUAAAAAGuRnvSpn63muHvA8inoAAAAADZL0/XP1246dVnZ+iZejAVoWinoAAAAADRLlCFK/75fgr9rDbD3gSRT1AAAAABrshyX4PFcPeBJFPQAAAIAGS4qvXIK/9VieThawBB/wFIp6AAAAAA0WHRqkPjGhMobfrAc8iaIeAAAAgFuM+n4J/r/YBR/wGIp6AAAAAG6R9H1RvzUjTycLa1+Cn5VfrE3pucrKL/ZUaECzRVEPAAAAwC06hgbphs6VS/BX17IE/70vjinx5VTdO3+Lbno5VUu2Zno4SqB5oagHAAAA4DZVS/CXpR13mY3feyJfU5fu0owVe2RMZd8KIz27bA8z9kAD+Hk7AAAAAADNR1KvSP3h3/uVlnlG987fIoukKEcrnciveTl+uTHKyC1SlCPIs4ECzQQz9QAAAADcxma1uLw2kk7kl8jfatHQayNkcW2W1SLFhQV7LkCgmaGoBwAAAOA2R3PP1Xj8zfv6asFDA/Ryci/ZLirsk+KjmKUHGoCiHgAAAIDbdAkL0SWT9bJZLIrv5JAkjRkQo43ThurRW7pIknZknlZZeYWnwwSaDYp6AAAAAG4T5QhSSnIv2b5fZ2+zWPRScrzLbHyUI0i/HnGNwtsEKiu/RCt3nfBWuIDPY6M8AAAAAG41ZkCMBnUPV0ZukeLCgmtcXt/K36aHEuP0yuoDenvDEd3Vp6Mslz5wD+BHMVMPAAAAwO2iHEFKuLr9ZZ+Xv39grEICbPo6u1DrD37nweiA5oOiHgAAAIBXOIL99X9+EiNJmrf+iJejAXwTRT0AAAAAr3nk5i7ys1q0+cgpffXtGW+HA/gcinoAAAAAXtMxNEh39I6WJM3bwGw9cKUo6gEAAAB41WODrpIkfbI7S5mnirwcDeBbKOoBAAAAeFWPKLsGdw9XhZH+upHZeuBKUNQDAAAA8LrHv5+t/2DbN8o7V1prv6z8Ym1Kz1VWfrGnQgOaNIp6AAAAAF6XcHV79eroUElZhf7wr33VinZjjBZsPKqbXk7VvfO36KaXU7Vka6aXogWaDj9vBwAAAAAAFotFvTo6tPt4vj7ccVzLdhxXfEeHAvysyikoUU5+icoqjLN/hZGeXbZHg7qHK8oR5MXIAe+iqAcAAADgdVn5xVp80cy7kbT7eP5lzyk3Rhm5RRT1aNEo6gEAAAB43dHcc7poIt5p0vBuuqVbmCyS/tdfNrv0sVksigsL9liMQFPEM/UAAAAAvK5LWIisFtdjNotFYwZ0Vr/Yduob204pyb1c+jx3Rw9m6dHiUdQDAAAA8LooR5BSknvJZqms2m0Wi15Kjncp2scMiNFnzwxRtKOVJOlChVdCBZoUizGmhkUuzVdBQYEcDofy8/Nlt9u9HQ4AAACAi2TlFysjt0hxYcG1zsIv2pKpZ5fvVqe2QVr39K3yszFXiaatMetQsh8AAABAkxHlCFLC1e0vu6w+uW9HtQ3217eni/WffTkejA5oeijqAQAAAPiUVv42PXBjrCTpr58d8XI0gHdR1AMAAADwOfcnxCrAZtWOzDPafuy0t8MBvIaiHgAAAIDPiWjTSnfeEC1JWrDxqJejAbyHoh4AAACATxp/SxdJ0id7svRNXpGXowG8g6IeAAAAgE+6NtKuW7qFqcJICzdleDscwCso6gEAAAD4rPE3V87WL9n6jQpKyrwcDeB5FPUAAAAAfNbg7uHqFtFaZ89f0Adbv6m1X1Z+sTal5yorv9iD0QGNj6IeAAAAgM+yWCzO2fq/fnZUnx36rlrh/u6mo0p8OVX3zt+im15O1ZKtmd4IFWgUFmOM8XYQnlRQUCCHw6H8/HzZ7XZvhwMAAACggUrKytXvxTU6V1ouSbJapPsGxsrfZtXn6d/pQPZZl/42i0Ubpw1RlCPIG+GiBWrMOtTPraMBAAAAgIedLipV0fcFvSRVGOnvXxyrtX+5McrILaKoR7PA8nsAAAAAPu1o7jnVtPx4eI8I/f7OnrJaqre1C/Fv9LgAT6CoBwAAAODTuoSFVCvcbRaLXhwdr3EJcUpJ7iWbxbXD3LXpHowQaDwU9QAAAAB8WpQjyKVwt1kseik53rm8fsyAGG2cNkT/79Eb9ddx/WWzWvTRrhNauetEg6/NrvrwNjbKAwAAANAsZOUXKyO3SHFhwZd9Xv61NQf1P58ekiPIX/+ZPEgd7K3qdb0lWzM1fdluVZjKzflSkntpzICY+oaPZqwx61Bm6gEAAAA0C1GOICVc3f5HN8D71dCu6tXRofziMj3zj6/0Y/OcNc3G788q0LQPKwt6qXJzvmeX7WHGHh7H7vcAAAAAWhR/m1Wvj+mtn/3PRq0/+J0WfZmp+wbG1tj34tl4i0W66eow5Z49r6+zC6v1rdxV/xy76sOjmKkHAAAA0OJ0jWij34y8VpL0fz/ery+PnnKZja+oMEr9OsdlNt4YaePh3BoL+irvbzmmkrLyWtsBd+OZegAAAAAtUkWF0b1//UJfHMlzHrNI6hMTqsy8IuWeLa3xvCeHddWDCXH6dH+Onl22R+XGqGpvfSOpd+dQzbu/nyId9XtWH81PY9ahFPUAAAAAWqwdx/KU/NbmGtuCA2wqKnWddbdZLNo4bYhzif3Fm/MdPnlWExelKb+4TGGtA/WX+/uqY9sgHc09py5hISzLb8Easw7lmXoAAAAALVbJhYoaj88Y1UMPJsRpedq3ztn4S38qT6rcnK/qdZQjSCsn3qzH/r5NX2cXasy8zaowlbP37I6PxkJRDwAAAKDF6hIWIqtFzufmpcrZ+FHXRynAz6oxA2I0qHt4nX4qT5Ji2gdr2ROJmrgoTalfn3Qer9odf1D3cGbs4VZslAcAAACgxYpyBCkluZdslsqn4mubja/LT+VVCQ7w089v7lLteLkxOvLdObfEXdPP7KFlYqYeAAAAQIt2pbPxddElvPoKAEn6/cq9Skm+Xv1i2172/Kz84mrP4htjlHeuVAs2HtWb69JZ1g9JbJTn7XAAAAAANFNLtmb+sDu+RQq0WZ3P8N/Tv5MeSozTmeIyl8K9pKxc8z87otfWHJQxlbvxXxdtV4WRvskr0tnzF6pdx2qRPp82tM5fRtT0hUFd2lB/zXb3+7feektvvfWWMjIyJEk9e/bUc889p6SkpFrPWbp0qX73u98pIyND3bp106xZs/Szn/2sztekqAcAAADgKRfvju9vs+rlT77WP7Z/W61fbLtglVwoV07B+Xpd564+0XpxdC+1Drz8YuwlWzM1fdluVZgfZvn/d7/OOnWuVH/fnKE/rz0sY1gB4G7NtqhfuXKlbDabunXrJmOM3n33Xb3yyitKS0tTz549q/XftGmTBg0apJSUFN1+++1atGiRZs2apR07dig+Pr5O16SoBwAAAOBNq/dk6fH3dlzROc/c1l0jekbJz2rR0D+tq7asX5LCWgdo0vDuGtw9TN+cLnaZbT99rlSb0nM1cVGaLj3VZpHKaxjPIml60rW6vXe0okODfnQWv74rABpr3Kak2Rb1NWnXrp1eeeUVjR8/vlrbmDFjdO7cOX388cfOYzfeeKNuuOEG/eUvf6nT+BT1AAAAALxpU3qu7p2/pdrxF0fHq19MqG7/88Zqu/FvnDbEWbRevKzfZpHuHRijzw7lKuNUkct4FklXR4Qov/iCvius3wqAKhFtAvVd4XmZ78e9/8YY3dQ1zNn++eFcvfdFZo3t9W27knOb+sqCFlHUl5eXa+nSpRo3bpzS0tJ03XXXVesTExOjKVOmaNKkSc5jM2fO1IoVK7Rr164axz1//rzOn/8hgQsKCtS5c2eKegAAAABekZVfrJteTq21cHct2it347+0WL14WX+UI0ilFyr01rrDev2/h2q9bqSjlbLzS1yOWS3S8icS1TYkQLe+4roCoOp5/n0nCqrN7jdFl3750ZQ0ZlHv9d3vd+/erYSEBJWUlKh169Zavnx5jQW9JGVnZ6tDhw4uxzp06KDs7Oxax09JSdHvf/97t8YMAAAAAPVV9TN6lxbuVcVoXXbjj3IEuRwP8LNqQJd2NV7vxdHxuqtPR7UO9KvxC4PenSt34q8ppjEDYrRmb44e/fu2auN279Ba9lb+Kigp08GcszW2S6pXW33GLTdGGblFTbKob0xeL+qvueYa7dy5U/n5+frHP/6hcePGaf369bUW9ldq+vTpmjJlivN11Uw9AAAAAHjLjxXulxbtddElrPrP6NksFg3vEeHcQO9y162tLb6TvcZx333kJ4pyBNW68uDdR34iSfVqq++4cWHBV/TfrDmwejuAgIAAde3aVf369VNKSop69+6tOXPm1Ng3MjJSOTk5LsdycnIUGRlZ6/iBgYGy2+0ufwAAAADgbVGOICVc3d5tM8tVKwBsFoskVVsBUJfr1tT2Y+Nerr2+bQ0Zt6VpMs/UVxk6dKhiYmK0cOHCam1jxoxRUVGRVq5c6TyWmJio66+/no3yAAAAAEDVn7f31LiXa69vW0PPbSqa7TP106dPV1JSkmJiYlRYWKhFixZp3bp1Wr16tSTpwQcfVMeOHZWSkiJJeuqppzR48GD96U9/0qhRo7R48WJt27ZNb7/9tjdvAwAAAACajPos3XfHuJdrr29bQ89tCbxa1J88eVIPPvigsrKy5HA4dP3112v16tX66U9/KknKzMyU1frDEwKJiYlatGiRZsyYoWeffVbdunXTihUr6vwb9QAAAAAANCdNbvl9Y2P5PQAAAADAkxqzDvX6RnkAAAAAAKB+KOoBAAAAAPBRFPUAAAAAAPgoinoAAAAAAHwURT0AAAAAAD6Koh4AAAAAAB9FUQ8AAAAAgI+iqAcAAAAAwEdR1AMAAAAA4KMo6gEAAAAA8FEU9QAAAAAA+CiKegAAAAAAfBRFPQAAAAAAPsrP2wF4mjFGklRQUODlSAAAAAAALUFV/VlVj7pTiyvqCwsLJUmdO3f2ciQAAAAAgJaksLBQDofDrWNaTGN8VdCEVVRU6MSJE2rTpo0sFou3w7msgoICde7cWd98843sdru3w4EPI5fgLuQS3IVcgruQS3AXcgnuUlMuGWNUWFio6OhoWa3ufQq+xc3UW61WderUydthXBG73c4bC9yCXIK7kEtwF3IJ7kIuwV3IJbjLpbnk7hn6KmyUBwAAAACAj6KoBwAAAADAR1HUN2GBgYGaOXOmAgMDvR0KfBy5BHchl+Au5BLchVyCu5BLcBdP51KL2ygPAAAAAIDmgpl6AAAAAAB8FEU9AAAAAAA+iqIeAAAAAAAfRVEPAAAAAICPoqhvRBs2bNAdd9yh6OhoWSwWrVixwqU9JydHDz30kKKjoxUcHKyRI0fq0KFDLn1KSko0YcIEtW/fXq1bt9bdd9+tnJwclz6ZmZkaNWqUgoODFRERoalTp+rChQuNfXvwsIbmU15enn71q1/pmmuuUVBQkGJiYvTkk08qPz/fZRzyqflzx3tTFWOMkpKSahyHXGr+3JVLmzdv1tChQxUSEiK73a5BgwapuLjY2Z6Xl6f77rtPdrtdoaGhGj9+vM6ePdvYtwcPckcuZWdn64EHHlBkZKRCQkLUt29fffjhhy59yKXmLSUlRQMGDFCbNm0UERGh0aNH68CBAy593PXZet26derbt68CAwPVtWtXLVy4sLFvDx7kjlzatWuXxo4dq86dOysoKEg9evTQnDlzql3LHblEUd+Izp07p969e2vu3LnV2owxGj16tI4cOaJ//vOfSktLU2xsrIYPH65z5845+02ePFkrV67U0qVLtX79ep04cULJycnO9vLyco0aNUqlpaXatGmT3n33XS1cuFDPPfecR+4RntPQfDpx4oROnDihV199VXv27NHChQu1atUqjR8/3jkO+dQyuOO9qcrs2bNlsViqHSeXWgZ35NLmzZs1cuRIjRgxQl9++aW2bt2qiRMnymr94SPKfffdp71792rNmjX6+OOPtWHDBj322GMeuUd4hjty6cEHH9SBAwf00Ucfaffu3UpOTtY999yjtLQ0Zx9yqXlbv369JkyYoC+++EJr1qxRWVmZRowY4fbP1kePHtWoUaM0ZMgQ7dy5U5MmTdLPf/5zrV692qP3i8bjjlzavn27IiIi9N5772nv3r367W9/q+nTp+uNN95w9nFbLhl4hCSzfPly5+sDBw4YSWbPnj3OY+Xl5SY8PNzMnz/fGGPMmTNnjL+/v1m6dKmzz/79+40ks3nzZmOMMf/+97+N1Wo12dnZzj5vvfWWsdvt5vz58418V/CW+uRTTT744AMTEBBgysrKjDHkU0vUkFxKS0szHTt2NFlZWdXGIZdanvrm0sCBA82MGTNqHXffvn1Gktm6davz2CeffGIsFos5fvy4e28CTUJ9cykkJMT87W9/cxmrXbt2zj7kUstz8uRJI8msX7/eGOO+z9bPPPOM6dmzp8u1xowZY2677bbGviV4SX1yqSZPPPGEGTJkiPO1u3KJmXovOX/+vCSpVatWzmNWq1WBgYHauHGjpMpvd8rKyjR8+HBnn2uvvVYxMTHavHmzpMoZjl69eqlDhw7OPrfddpsKCgq0d+9eT9wKmoC65FNN8vPzZbfb5efnJ4l8Qt1zqaioSPfee6/mzp2ryMjIauOQS6hLLp08eVJbtmxRRESEEhMT1aFDBw0ePNgl1zZv3qzQ0FD179/feWz48OGyWq3asmWLh+4G3lTX96XExEQtWbJEeXl5qqio0OLFi1VSUqJbb71VErnUElU9YtiuXTtJ7vtsvXnzZpcxqvpUjYHmpz65VNs4VWNI7sslinovqfqfPn36dJ0+fVqlpaWaNWuWvv32W2VlZUmqfDYsICBAoaGhLud26NBB2dnZzj4Xv+lUtVe1oWWoSz5dKjc3Vy+++KLLskPyCXXNpcmTJysxMVF33nlnjeOQS6hLLh05ckSS9Pzzz+vRRx/VqlWr1LdvXw0bNsz5vHR2drYiIiJcxvbz81O7du3IpRairu9LH3zwgcrKytS+fXsFBgbq8ccf1/Lly9W1a1dJ5FJLU1FRoUmTJummm25SfHy8JPd9tq6tT0FBgct+IGge6ptLl9q0aZOWLFlSp8/eV5pLFPVe4u/vr2XLlungwYNq166dgoODtXbtWiUlJbk8RwjUxZXmU0FBgUaNGqXrrrtOzz//vOcDRpNVl1z66KOPlJqaqtmzZ3s3WDRpdcmliooKSdLjjz+uhx9+WH369NHrr7+ua665RgsWLPBm+GhC6vpv3O9+9zudOXNG//3vf7Vt2zZNmTJF99xzj3bv3u3F6OEtEyZM0J49e7R48WJvhwIf545c2rNnj+68807NnDlTI0aMcGN0lagevahfv37auXOnzpw5o6ysLK1atUqnTp3SVVddJUmKjIxUaWmpzpw543JeTk6Oc7lrZGRktR07q17XtCQWzdeP5VOVwsJCjRw5Um3atNHy5cvl7+/vbCOfIP14LqWmpio9PV2hoaHy8/NzPr5x9913O5e5kkuQfjyXoqKiJEnXXXedy3k9evRQZmampMp8OXnypEv7hQsXlJeXRy61ID+WS+np6XrjjTe0YMECDRs2TL1799bMmTPVv39/5+Z75FLLMXHiRH388cdau3atOnXq5Dzurs/WtfWx2+0KCgpy9+3AixqSS1X27dunYcOG6bHHHtOMGTNc2tyVSxT1TYDD4VB4eLgOHTqkbdu2OZez9uvXT/7+/vr000+dfQ8cOKDMzEwlJCRIkhISErR7926Xf6TWrFkju91e7UMSWoba8kmqnKEfMWKEAgIC9NFHH7k8nyiRT3BVWy5NmzZNX331lXbu3On8k6TXX39d77zzjiRyCa5qy6W4uDhFR0dX+5mggwcPKjY2VlJlLp05c0bbt293tqempqqiokIDBw703E2gSagtl4qKiiSp2uo0m83mXBFCLjV/xhhNnDhRy5cvV2pqqrp06eLS7q7P1gkJCS5jVPWpGgO+zx25JEl79+7VkCFDNG7cOP3hD3+odh235dIVbauHK1JYWGjS0tJMWlqakWRee+01k5aWZo4dO2aMqdx5fO3atSY9Pd2sWLHCxMbGmuTkZJcxfvGLX5iYmBiTmppqtm3bZhISEkxCQoKz/cKFCyY+Pt6MGDHC7Ny506xatcqEh4eb6dOne/Re0fgamk/5+flm4MCBplevXubw4cMmKyvL+XfhwgVjDPnUUrjjvelSumS3anKpZXBHLr3++uvGbrebpUuXmkOHDpkZM2aYVq1amcOHDzv7jBw50vTp08ds2bLFbNy40XTr1s2MHTvWo/eKxtXQXCotLTVdu3Y1t9xyi9myZYs5fPiwefXVV43FYjH/+te/nP3Ipebtl7/8pXE4HGbdunUun3OKioqcfdzx2frIkSMmODjYTJ061ezfv9/MnTvX2Gw2s2rVKo/eLxqPO3Jp9+7dJjw83Nx///0uY5w8edLZx125RFHfiNauXWskVfsbN26cMcaYOXPmmE6dOhl/f38TExNjZsyYUe2nnoqLi80TTzxh2rZta4KDg81dd91lsrKyXPpkZGSYpKQkExQUZMLCwsyvf/1r50+UofloaD7Vdr4kc/ToUWc/8qn5c8d706UuLeqNIZdaAnflUkpKiunUqZMJDg42CQkJ5rPPPnNpP3XqlBk7dqxp3bq1sdvt5uGHHzaFhYWeuEV4iDty6eDBgyY5OdlERESY4OBgc/3111f7iTtyqXmr7XPOO++84+zjrs/Wa9euNTfccIMJCAgwV111lcs14PvckUszZ86scYzY2FiXa7kjlyzfBw0AAAAAAHwMz9QDAAAAAOCjKOoBAAAAAPBRFPUAAAAAAPgoinoAAAAAAHwURT0AAAAAAD6Koh4AAAAAAB9FUQ8AAAAAgI+iqAcAAAAAwEdR1AMAAK966KGHNHr0aOfrW2+9VZMmTfJaPAAA+BKKegAAfIgxRsOHD9dtt91Wre3NN99UaGiovv32W4/EEhcXJ4vFIovFIpvNpujoaI0fP16nT5++onHmzJmjhQsXXvY6s2fPbliwAAA0UxT1AAD4EIvFonfeeUdbtmzRvHnznMePHj2qZ555Rn/+85/VqVMnt16zrKys1rYXXnhBWVlZyszM1Pvvv68NGzboySefvKLxHQ6HQkNDGxglAAAtE0U9AAA+pnPnzpozZ46efvppHT16VMYYjR8/XiNGjFCfPn2UlJSk1q1bq0OHDnrggQeUm5vrPHfVqlW6+eabFRoaqvbt2+v2229Xenq6sz0jI0MWi0VLlizR4MGD1apVK73//vu1xtKmTRtFRkaqY8eOGjJkiMaNG6cdO3Y4259//nndcMMNLufMnj1bcXFxzteXLr+/2K233qpjx45p8uTJzlUBAADgBxT1AAD4oHHjxmnYsGF65JFH9MYbb2jPnj2aN2+ehg4dqj59+mjbtm1atWqVcnJydM899zjPO3funKZMmaJt27bp008/ldVq1V133aWKigqX8adNm6annnpK+/fvr3Gpf02OHz+ulStXauDAgW67z2XLlqlTp07OFQFZWVluGxsAgObAz9sBAACA+nn77bfVs2dPbdiwQR9++KHmzZunPn366KWXXnL2WbBggTp37qyDBw+qe/fuuvvuu13GWLBggcLDw7Vv3z7Fx8c7j0+aNEnJyck/GsNvfvMbzZgxQ+Xl5SopKdHAgQP12muvue0e27VrJ5vN5lwRAAAAXDFTDwCAj4qIiNDjjz+uHj16aPTo0dq1a5fWrl2r1q1bO/+uvfZaSXIusT906JDGjh2rq666Sna73bkMPjMz02Xs/v371ymGqVOnaufOnfrqq6/06aefSpJGjRql8vJyN90lAAC4HGbqAQDwYX5+fvLzq/zn/OzZs7rjjjs0a9asav2ioqIkSXfccYdiY2M1f/58RUdHq6KiQvHx8SotLXXpHxISUqfrh4WFqWvXrpKkbt26afbs2UpISNDatWs1fPhwWa1WGWNczrncxnsAAODKUNQDANBM9O3bVx9++KHi4uKchf7FTp06pQMHDmj+/Pm65ZZbJEkbN250aww2m02SVFxcLEkKDw9Xdna2jDHOTe527tx5RWMGBAQw8w8AQC1Yfg8AQDMxYcIE5eXlaezYsdq6davS09O1evVqPfzwwyovL1fbtm3Vvn17vf322zp8+LBSU1M1ZcqUBl2zsLBQ2dnZysrK0pdffqmpU6cqPDxciYmJkip3r//uu+/0xz/+Uenp6Zo7d64++eSTK7pGXFycNmzYoOPHj7vs5A8AACjqAQBoNqKjo/X555+rvLxcI0aMUK9evTRp0iSFhobKarXKarVq8eLF2r59u+Lj4zV58mS98sorDbrmc889p6ioKEVHR+v2229XSEiI/vOf/6h9+/aSpB49eujNN9/U3Llz1bt3b3355Zd6+umnr+gaL7zwgjIyMnT11VcrPDy8QfECANDcWMylD7oBAAAAAACfwEw9AAAAAAA+iqIeAAAAAAAfRVEPAAAAAICPoqgHAAAAAMBHUdQDAAAAAOCjKOoBAAAAAPBRFPUAAAAAAPgoinoAAAAAAHwURT0AAAAAAD6Koh4AAAAAAB9FUQ8AAAAAgI/6/wPMyWWaDksoAAAAAElFTkSuQmCC",
|
||
"text/plain": [
|
||
"<Figure size 1200x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"year_condition = df.groupby('yr_built')['condition'].mean().reset_index()\n",
|
||
"\n",
|
||
"plt.figure(figsize=(12, 6))\n",
|
||
"\n",
|
||
"plt.plot(year_condition['yr_built'], year_condition['condition'], marker='.')\n",
|
||
"\n",
|
||
"plt.title(\"Номер 2\")\n",
|
||
"plt.xlabel(\"Year Built\")\n",
|
||
"plt.ylabel(\"Condition\")\n",
|
||
"\n",
|
||
"\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Связь между объектами есть. Цена связана почти со всеми характиристиками дома.<br> Например на графике номер один показана зависимоость между ценой и размером дома.<br> А на графике номер 2 показа зависимость состояния домов с годами."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"<h3>Примеры бизнес целей</h3>\n",
|
||
"\n",
|
||
"1. Прогнозирование стоимости недвижимости на основе характиристик дома.\n",
|
||
"2. Наблюдение за изменениями характиристик дома с годами.\n",
|
||
"\n",
|
||
"Эффект для бизнеса: Оценка и оптимизация цен, Оценка и планирование затрат, выявление тенденции на рынке, стратегия планирования."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"<h3>Цели технического проекта</h3>\n",
|
||
"<ul>Для первой цели:</ul>\n",
|
||
" <li>Вход: Характеристики недвижимости</li>\n",
|
||
" <li>Целевой признак: Цена.</li>\n",
|
||
"<ul>Для второй цели:</ul>\n",
|
||
" <li>Вход: оценка конструкции, Состояние дома</li>\n",
|
||
" <li>Целевой признак: Год постройки</li>"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"<h3>Код ниже нужен для определения проблем данных</h3>"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 266,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"date 20150527T000000\n",
|
||
"price 7700000.0\n",
|
||
"bedrooms 33\n",
|
||
"bathrooms 8.0\n",
|
||
"sqft_living 13540\n",
|
||
"sqft_lot 1651359\n",
|
||
"floors 3.5\n",
|
||
"waterfront 1\n",
|
||
"view 4\n",
|
||
"condition 5\n",
|
||
"grade 13\n",
|
||
"sqft_above 9410\n",
|
||
"sqft_basement 4820\n",
|
||
"yr_built 2015\n",
|
||
"yr_renovated 2015\n",
|
||
"zipcode 98199\n",
|
||
"lat 47.7776\n",
|
||
"long -121.315\n",
|
||
"sqft_living15 6210\n",
|
||
"sqft_lot15 871200\n",
|
||
"dtype: object \n",
|
||
"\n",
|
||
"Index(['bedrooms', 'bathrooms', 'waterfront', 'view', 'sqft_basement',\n",
|
||
" 'yr_renovated'],\n",
|
||
" dtype='object') \n",
|
||
"\n",
|
||
"Признаки с низкой дисперсией:\n",
|
||
" waterfront 0.007485\n",
|
||
"lat 0.019200\n",
|
||
"long 0.019833\n",
|
||
"dtype: float64 \n",
|
||
"\n",
|
||
"id\n",
|
||
"7129300520 1955\n",
|
||
"6414100192 1951\n",
|
||
"5631500400 1933\n",
|
||
"2487200875 1965\n",
|
||
"1954400510 1987\n",
|
||
" ... \n",
|
||
"263000018 2009\n",
|
||
"6600060120 2014\n",
|
||
"1523300141 2009\n",
|
||
"291310100 2004\n",
|
||
"1523300157 2008\n",
|
||
"Name: yr_built, Length: 21613, dtype: int64\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"max_value = df.max(axis=0)\n",
|
||
"\n",
|
||
"columns_with_zero = df.columns[(df == 0).any()]\n",
|
||
"\n",
|
||
"numeric_data = df.select_dtypes(include='number')\n",
|
||
"shum = numeric_data.var()\n",
|
||
"low_dispers = 0.1\n",
|
||
"low_var_columns = shum[shum < low_dispers]\n",
|
||
"\n",
|
||
"\n",
|
||
"year = df['yr_built']\n",
|
||
"\n",
|
||
"print(max_value, \"\\n\")\n",
|
||
"print(columns_with_zero, \"\\n\")\n",
|
||
"print(\"Признаки с низкой дисперсией:\\n\", low_var_columns, \"\\n\")\n",
|
||
"print(year)\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"<ul><h4>Из полученных данных выяснилось:</h4></ul>\n",
|
||
" <li>признаки bedrooms, bathrooms, waterfront, view, sqft_basement и yr_renovated имеют в себе нулевые поля, что может создать смещение если искать по этим полям</li>\n",
|
||
" <li>признаки bedrooms, bathrooms и price имеют аномально высокие значения, и это указывает на наличие выбросов</li>\n",
|
||
" <li>признаки waterfront, view, condition имеют низкие значения дисперсии, что может привести к снижению значимости этих признаков</li>\n",
|
||
" <li>признак yr_built варьируется от 1900 до 2015. Это может быть актуальной информацией для анализа старых зданий, но актуальность данных по ремонту и реконструкции (это призгак yr_renovated) может быть ниже, так как 0 указывает на отсутствие ремонта</li>\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"<ol><h3>Примеры решения проблем для набора данных</h3></ol>\n",
|
||
" <li>Удаление выбросов на основе значения или bathrooms > 5</li>\n",
|
||
" <li>Замена 0 на год постройки (это признак yr_built), если дом не подвергался ремонту</li>\n",
|
||
"\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"<h3>Оценка качества данных</h3>\n",
|
||
"1. Информативность. Набор данных предоставляет достаточную информацию для анализа цен на недвижимость.\n",
|
||
"2. Степень покрытия. Набор данных затрагивает только один райно, не включая информацию о других райнов.\n",
|
||
"3. Соответствие реальным данным. Данные вполне кажутся реальными, не считая некоторых редких выбросов.\n",
|
||
"4. Согласованность меток. Метки состояние и оценка вида, имеют четкие значения."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"<h3>Разбиение данных на обучающую, контрольную и тестовую выборки</h3>"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 267,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Исходный размер строк: 21613 строк\n",
|
||
"Размер обучающей выборки: 15129 строк\n",
|
||
"Размер валидационной выборки: 3242 строк\n",
|
||
"Размер тестовой выборки: 3242 строк\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"df_numeric = df.select_dtypes(include='number')\n",
|
||
"\n",
|
||
"x = df_numeric.drop(['price'], axis=1)\n",
|
||
"y = df_numeric['price']\n",
|
||
"\n",
|
||
"x_train, x_temp, y_train, y_temp = train_test_split(x, y, test_size=0.3, random_state=14)\n",
|
||
"\n",
|
||
"x_val, x_test, y_val, y_test = train_test_split(x_temp, y_temp, test_size=0.5, random_state=14)\n",
|
||
"\n",
|
||
"print(f\"Исходный размер строк: {df_numeric.shape[0]} строк\")\n",
|
||
"print(f\"Размер обучающей выборки: {x_train.shape[0]} строк\")\n",
|
||
"print(f\"Размер валидационной выборки: {x_val.shape[0]} строк\")\n",
|
||
"print(f\"Размер тестовой выборки: {x_test.shape[0]} строк\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 268,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1000x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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+9KMf1Tsuzj77bIYNG9boa913KGfd0M5wOMySJUsarHv99dfz1FNP8Y9//KPBKI3mfjeJ1NHQPuny5s2bx5FHHonb7SYvL4+hQ4fW+8J0HIf777+fhx56iI0bN9a7gKob/gc1QwKHDh2K253Yj9WQIUPqPbYsi8GDB8fH269duxaA6dOnH7CNsrIyunXrFn9cUlLSoN39rV27FmPMAdfbf5hD3YXj/snL/m2WlZXFh3ntr7i4uN7jRYsW0aNHj4PGub9bbrmF3r17c9VVVzWYR7F27VoKCwsP2Ob++29MU17n5s2b6d27d70EGGD48OHx55vjiSee4He/+x1ffPEFkUgkvnzgwIEN1m3s73XkkUfyj3/8o9G233nnHV566SVee+21BvNo6ubCNWWCeJ8+fRqdO3fppZfyi1/8gg8//JCePXvy5ptv8oc//IF33nmnwbovv/wyt99+O8uXL683/+NwfohozNq1a/nss8+afBzccsstjSYEjQ2V/N73vhf///T0dM4991zuvffegw6rbMwzzzzDM888E3983HHH8ec//zlh2zbnvW7KMb+vsrIyfvOb33Ddddcd8HXHYjFKS0vJyso6ZHutfVwc7DNQ91kdOnRoveVer5cjjjiiwWf5iy++aPI5qynnt82bN2PbNoMHD663PD8/n+zs7AOeS+655x6CwSA33HBDgyTsYJp63O37mUhJSWHSpEncd999jZ5/9v3BZV8ul4shQ4bEv8sO9F7Xbbv/OcO2bY444oh6y4488kiABnPc/vCHP/D+++8DNDrnqbnfTSJ1lEhJl3f88cfHq/Y15je/+Q033XQT3/ve97jtttvIycnBtm1++tOfNujpSYa6GO66664G82Xq7HsBFA6H2b59O5MnTz5ku5Zl8e9//7vRqk/7X1Tt2LEDqPmCP1ibPXv25Kmnnmr0+f0vKk444YR40YU6Dz74IC+++GKj2xcWFvL444/z5JNPNjqe3XEcjjrqKO65555Gt+/Xr98BY6/TlNeZSE8++SSXX345559/Ptdffz09e/bE5XJxxx13xOfzHY5f/vKXTJ06lUmTJjWY5H+o3r/9VVdXN1jWo0cPzj33XB577DHy8vL42te+1uCiEGp6v8477zwmTJjAQw89RK9evfB4PDz22GPMnz+/WXEciuM4TJ48mV/84heNPl93MVZnxowZDXoqrrzyyka3vfnmmznllFOIRCIsW7aMuXPnUlpaetAewcZMmTKF66+/HoCvvvqKO++8k9NOO42PP/64Xg9NS7Zt7nu9Y8cO0tPTm3y/nzvvvBPbtrn++uvZvXt3o+sUFRXhOM4hiyC0xXFxsM9Acw0YMIA//elP9ZYtWLCAP/7xjw3Wbc75rTlJY0lJCXfddRezZ88mJyenydtB04+7us9ELBajsLCQOXPmcP755/P55583aPNQx2tbeP/99/n1r3/NRx99xLXXXsuZZ54Zn+8Hzf9uEqmjRErkEJ599llOO+00Hn300XrLS0tL652IBw0axAcffEAkEknopNS6Hqc6xhjWrVsXv09IXRGLzMxMzjjjjEO2t2LFCiKRyEGTx7p2jTEMHDiwwYVlY1avXo1lWY3+mrhvm0uWLOFrX/tak75cc3NzG7ymgxWEmD17NmPHjuVb3/rWAfe/YsUKTj/99Bb/mt2U11lQUMCSJUuoqKio1yv1xRdfxJ9vqmeffZYjjjgiXn2rzoGGTO1/vAB8+eWXjV6wvvDCCyxduvSAQ6TqJmJv27at3qTsxmzdujVeeGV/3/ve97j00kvJyso64I18//nPf5KSksLChQvrDSHbd1hgogwaNIjKysomfV6gppdv/3UPlFQcddRR8XWnTZtGUVERTzzxBNFotFkx9urVq94+hw4dykknncQLL7xwyNsyHGrb5r7Xq1evjvemHsq2bdu4//77ueOOO8jIyDhgIlVX5fFQ56HWPi4O9Rmo+6yuWbOmXu9HOBxm48aNjR4X+y9bvnx5o2035fxWUFCA4zisXbu23t9g586dlJaWNnouuf3228nIyOAnP/lJo/s9mKYed/t+JqZOnUogEOBXv/pVo5Ul63rO938P617X0UcfHX+tdevVDbeus2bNmgav1XEcNmzYUO/76csvvwRocL773ve+xw033MC2bdsYMWIE1157LX/729/izzf3u0mkjuZIiRyCy+VqMAZ8wYIFDcqxXnjhhZSUlPDggw82aKOpY8gbU1eFrc6zzz7L9u3bmTZtGgDjxo1j0KBB3H333VRWVjbYfteuXQ1id7lcjZbe3dcFF1yAy+Xi1ltvbRC/MabeBVI0GuWf//wnxx9//EGH/1x00UXEYjFuu+22Bs9Fo9HDmleydOlSXnzxRf73f//3gEnSRRddxNatWxv8Ygw1vSlVVVUH3UdTX+dZZ51FLBZrcCzce++9WJYV/9s1RV1v4L5/gw8++IClS5c2uv4LL7xQ79j88MMP+eCDDxrsMxaLccMNN3DJJZccsCdzwoQJAPUqg33wwQcAfPTRR/FlX375JatXr46vv78zzzyTtLQ09uzZw0UXXXTA12lZVr2hs5s2bWpWJcWmuuiii1i6dCkLFy5s8FxpaWmzk56DcRwH27YPexhaXW9fU8v0H2zb5rzXW7Zs4d13321wYXsgt956K3l5efzwhz886HoLFiwgOzubiRMnHnS91jwumvIZOOOMM/B6vfz+97+v9xl89NFHKSsrS2jVwMbUVXfdv5JkXa/6/vvftGkTDz/8MHPmzElIQtDU465uZERjoxdOP/10fD4fv//97+uN4njqqafYuXNn/Lvo2GOPpWfPnjzyyCP19vfvf/+bwsLCRt/rfc+xxhgefPBBPB5Pg3lddRVWe/fuzZ133smTTz7JokWL4s+35neTdG7qkRI5hHPOOYe5c+dyxRVXcNJJJ7Fy5UqeeuqpBmOzv/vd7/LXv/6V6667jg8//JBTTjmFqqoqlixZwo9+9CO+/vWvt2j/OTk5nHzyyVxxxRXs3LmT++67j8GDB8eHFtm2zZ///GemTZvGyJEjueKKK+jTpw9bt27ljTfeIDMzk5deeomqqirmzZvH73//e4488kjefPPN+D7qErDPPvuMpUuXMn78eAYNGsTtt9/O7Nmz2bRpE+effz4ZGRls3LiR559/nhkzZvDzn/+cJUuWcNNNN/HZZ5/x0ksvHfS1TJw4kauuuoo77riD5cuXM2XKFDweD2vXrmXBggXcf//9fOMb32jR+7Ro0SImT5580F6G73znO/zjH//ghz/8IW+88QZf+9rXiMVifPHFF/zjH/9g4cKFB/yFvDmv89xzz+W0007jV7/6FZs2bWLMmDEsWrSIF198kZ/+9Kf1SuEfyjnnnMNzzz3H//zP/3D22WezceNGHnnkEUaMGNFo4jx48GBOPvlkrr76akKhEPfddx/du3dvMIztq6++wuv1HnTI2RFHHMHFF1/MHXfcQWVlJX369IkPUfr444+5+OKLOeGEE7j//vvJyspqtIQ+1FxcFRYWYow5YE/O2WefzT333MOZZ57JJZdcQnFxMfPmzWPw4MF89tlnTXqvKisrefXVV+stW7NmDQBvvfUWHo+HPn36cP311/N///d/nHPOOVx++eWMGzeOqqoqVq5cybPPPsumTZvq9TY3x/Lly0lPTycajbJs2TL++te/8vWvf73ZN0XdsGEDTz75JFDT2/fggw+SmZnZpIITh9q2qe/1ww8/zB133EFqamqDwikHsmjRIp566ql4gZT97dy5k9///vcsWLCACRMm8M9//jP+XN29+5YuXcoxxxzD6NGjm31cFBUVNTgGdu3aRXV1Na+++ioTJ06MJxhN+Qz06NGD2bNnc+utt3LmmWdy3nnnsWbNGh566CGOO+44Lrvssia9Ly01ZswYpk+fzh//+EdKS0uZOHEiH374IU888QTnn38+p512Wr3133rrLYYPH84VV1zRov019bhbs2YNr776Ko7jsHr1au666y6OO+64RudT5uTkcOONN3LTTTcxdepUvv71r7NhwwYefPBBxowZww9+8AOgZt7tnXfeyRVXXMHEiRP59re/HS9/PmDAAK699tp67aakpPDqq68yffp0TjjhBP7973/zr3/9ixtuuOGgQ/FmzJjB/Pnz+eEPf8iqVavi911sre8m6eSSUitQpB2oK7360UcfHXS9YDBofvazn5levXoZv99vvva1r5mlS5c2KP9rTE2Z3l/96ldm4MCBxuPxmPz8fPONb3zDrF+/3hjTsnLKTz/9tJk9e7bp2bOn8fv95uyzz65XhrjOp59+ai644ALTvXt34/P5TEFBgbnooovMa6+9Vm/fh/q3f/nbf/7zn+bkk082aWlpJi0tzQwbNszMnDnTrFmzxhhjzDXXXGMmTJhgXn311QYx7V8Gt84f//hHM27cOOP3+01GRoY56qijzC9+8Quzbdu2+DrNLX9uWZZZtmxZveWN/Y3C4bC58847zciRI43P5zPdunUz48aNM7feeqspKytrsL86zX2dFRUV5tprrzW9e/c2Ho/HDBkyxNx11131StTXxX6w8ueO45jf/OY3pqCgwPh8PnP00Uebl19+uUH55n2Prd/97nemX79+xufzmVNOOcWsWLGiXpt1pYN/8pOf1Fu+fwnrutdx2WWXmdTUVDNs2DCzcOFCA5gbbrjBXH755cbv95tRo0aZ9957r15bByoFfbDnH330UTNkyBDj8/nMsGHDzGOPPXbAY6ix9g51bO9bVruiosLMnj3bDB482Hi9XpObm2tOOukkc/fdd5twONzgPd3fgT6vdf/cbrcpKCgwP/7xj83evXuNMc0rf75vW7m5uWbKlClm6dKlCdu2Ke/18ccfb775zW+aL774osF+DlT+fOzYsfWO8X3LTzf2Ph3o3763M2jqcdGUduuO7eZ8BoypKXc+bNgw4/F4TF5enrn66qvjf9d935NElz83xphIJGJuvfXW+PdKv379zOzZs00wGKy3Xt3f/vnnn6+3PJHH3f7fI7Ztm759+5rp06fHb7twoM/svHnz6r2HV111ldm9e3eD9f7+97+bo48+2vh8PpOTk2MuvfTSerd0qHtNaWlpZv369WbKlCkmNTXV5OXlmVtuuaVemfr9j786a9asMSkpKfVuC2FM076bRPZlGXMYY45EpNW8+eabnHbaaSxYsCAhv4Rt2rSJgQMHsnHjxgNO8J4zZw6bNm067AnX0vbq/r533XUXP//5z1ttPyUlJfTo0YNbbrnlgPOd2qMBAwYwZ84cLr/88mSH0qXVndcOdulx+eWXx/9eidKU8590HJdffjnPPvtso73yIm1Jc6RERERERESaSXOkRLqI9PR0Lr300oMWSRg9evQBK6+JdGQTJ05s0v2wpHXl5eVx6aWXHnSdk046qcVz1A7E7/czdepUVWQTkYRSIiXSReTm5sYnER/IBRdc0EbRiLStJ554ItkhCDU3pT7UeWjGjBkJ329eXl6DIhQiIodLc6RERERERESaSXOkREREREREmkmJlIiIiIiISDNpjhQ1d+Tetm0bGRkZh333eRERERER6biMMVRUVNC7d29s+8D9TkqkgG3bttGvX79khyEiIiIiIu3Eli1b6Nu37wGfVyIFZGRkADVvVmZmZpKjka4gEomwaNEipkyZgsfjSXY4InE6NqW90rEp7ZGOy86pvLycfv36xXOEA1EiBfHhfJmZmUqkpE1EIhFSU1PJzMzUiVfaFR2b0l7p2JT2SMdl53aoKT8qNiEiIiIiItJMSqRERERERESaSYmUiIiIiIhIMymREhERERERaSYlUiIiIiIiIs2kREpERERERKSZlEiJiIiIiIg0kxIpERERERGRZlIiJSIiIiIi0kxKpERERERERJpJiZSIiIiIiEgzKZESERERERFpJiVSIiIiIiIizaRESkREREREpJmUSImIiIiIiDSTEikREREREZFmUiIlIiIiIiLSTEqkREREREREmsmd7ABERKRzKSoqoqSkpNXaz83NpX///q3WvoiISFMokRIRkYQpKipi+PDhBAKBVttHamoqhYWFSqZERCSpkppIPfzwwzz88MNs2rQJgJEjR3LzzTczbdo0AE499VTeeuutettcddVVPPLII/HHRUVFXH311bzxxhukp6czffp07rjjDtxu5YgiIm2tpKSEQCDAjQ8+SsHgoQlvf/O6Ndw+6/uUlJQokRIRkaRKarbRt29f/vd//5chQ4ZgjOGJJ57g61//Op9++ikjR44E4Morr2Tu3LnxbVJTU+P/H4vFOPvss8nPz+e9995j+/btfPe738Xj8fCb3/ymzV+PiIjUKBg8lKGjxyY7DBERkVaT1ETq3HPPrff417/+NQ8//DDvv/9+PJFKTU0lPz+/0e0XLVrE6tWrWbJkCXl5eYwdO5bbbruNX/7yl8yZMwev19vqr0FERERERLqedjP+LRaLsWDBAqqqqhg/fnx8+VNPPcWTTz5Jfn4+5557LjfddFO8V2rp0qUcddRR5OXlxdefOnUqV199NZ9//jlHH310o/sKhUKEQqH44/LycgAikQiRSKQ1Xp5IPXXHmY43aW8O99h0HAe/349lHEwsmsjQALBMTfuO4+jz08XovCntkY7Lzqmpf0/LGGNaOZaDWrlyJePHjycYDJKens78+fM566yzAPjjH/9IQUEBvXv35rPPPuOXv/wlxx9/PM899xwAM2bMYPPmzSxcuDDeXiAQIC0tjVdeeSU+12p/c+bM4dZbb22wfP78+fWGDoqIiIiISNcSCAS45JJLKCsrIzMz84DrJb1HaujQoSxfvpyysjKeffZZpk+fzltvvcWIESOYMWNGfL2jjjqKXr16cfrpp7N+/XoGDRrU4n3Onj2b6667Lv64vLycfv36MWXKlIO+WSKJEolEWLx4MZMnT8bj8SQ7HJG4wz02V6xYwYQJE3jguYUMGTU64fGtXfUZ11wwlbfffpsxY8YkvH1pv3TelPZIx2XnVDda7VCSnkh5vV4GDx4MwLhx4/joo4+4//77+cMf/tBg3RNOOAGAdevWMWjQIPLz8/nwww/rrbNz506AA86rAvD5fPh8vgbLPR6PPgTSpnTMSXvV0mPTtm2qq6sxlo3lSvxXjLFq2rdtW5+dLkrnTWmPdFx2Lk39W9qtHEezOY5Tb/7SvpYvXw5Ar169ABg/fjwrV66kuLg4vs7ixYvJzMxkxIgRrR6riIiIiIh0TUntkZo9ezbTpk2jf//+VFRUMH/+fN58800WLlzI+vXr4/Olunfvzmeffca1117LhAkTGD26ZrjIlClTGDFiBN/5znf47W9/y44dO7jxxhuZOXNmoz1OIiIiIiIiiZDURKq4uJjvfve7bN++naysLEaPHs3ChQuZPHkyW7ZsYcmSJdx3331UVVXRr18/LrzwQm688cb49i6Xi5dffpmrr76a8ePHk5aWxvTp0+vdd0pERERERCTRkppIPfroowd8rl+/frz11luHbKOgoIBXXnklkWGJiIiIiIgcVLubIyUiIiIiItLeKZESERERERFpJiVSIiIiIiIizaRESkREREREpJmSfkNeERFpe0VFRZSUlDRY7jgOACtWrMC2m/9bW2Fh4WHHJiIi0hEokRIR6WKKiooYPnw4gUCgwXN+v5+nn36aCRMmUF1d3eJ9VFZWHk6IIiIi7Z4SKRGRLqakpIRAIMCNDz5KweCh9Z6zjAOhPTzw3EKM1fweqfffWMSjd84lGAwmKlwREZF2SYmUiEgXVTB4KENHj623zMSi7F32JkNGjcZyNf8rYvPaNQmKTkREpH1TIiUi0olFHUMg6lAVcQhEDQAlpDDo+FOIuFOojjp4bQvbAsuykhytiIhIx6FESkSkk3CMYXsgytaqKNuqImyrilIecRquaPXkB488RxnwSUkIANuCFJdFig1WVgGRoIPfE8PvtvHYSrBERET2p0RKRKQdOlBVvcZU4mYbaWwnjZDV8LRuGYOXGF4cLAzVwRBbvvqK3kcMBpcXB3AMBKKGAEBWX3ZXxIAYAG4L0jw2aW6bNI9FusfG77LUgyUiIl2aEikRkXbmYFX19jXo+FM444f/jwFjj48vqy4vZcOy99iychlFKz9m57pCAmV7G93+3mdfZdxJJxNzDGHHEIwZAuEoZTu24uT0pjoGYccQNVAWdigL/7d3y7aIJ1YZHptsrwuvS4mViIh0HUqkRETamYNV1QOIuFMIpOcS8abVLDAGb7gSX7Cc7qEq+o0cBCMHwcUXNdr+/pX1XLaF37bwuyHbbfDv3UC3I/pjudzEHEN1zFAVcaiKOlRGDFVRB8dARcShIgI7iAER/C4L78BRDDhmfGu9NSIiIu2GEikRkXZq/6p6UcewsSJCWXXNkDsLyE910TfNg9eVCvRsUrvNqaznsi3S7ZrhfHWM+W9yVRmp6amqitYs8/Q+gqv+/H8QDrKpIkJPv4tUd/PLqIuIiLR3SqRERDqAsnCMtWURQrGayns9Ulz0T3eTkoQkxbIsUt0WqW6bHv6aZRHHUB52WLlmHbHUbFIyMtlaVVP4Irc2Vr8SKhER6UT0rSYi0o4ZY9hUEWHVnjChmMHnshiV4+XIbG9SkqgD8dgW3VNchNct59dTRsKWL+jmq4mvJBjjk5IQa0vDhGsTQRERkY5OPVIiIu2UY9kU7g2zt7bIQ0+/i4EZHtztvBx5NBSEit2M6OajMuJQVBlhb8ihOBhjbzjGkCwv3XyuZIcpIiJyWJRIiYi0Q1n5fSjr1p9Y2MEGhmR7yU3peMlHusdmRDcfFWGHdeVhAlHD6r1heqe6KchwY6uEuoiIdFDtZ1yIiIgAUI6HHz2xkJjbh8eGUd19HTKJ2leG12ZMdx+9Umtex7ZAlJV7QkQcDfUTEZGOSYmUiEg7sr0qwsfkkdkjD1ckyJjuPjI8neNUbVsWR2R6GZ7txW1BZcTwuZIpERHpoDS0T0SkhYqKiigpKUlYe2V4WUZPopbNxk+WMq5fLr5+3RLWfnuRk+LiKJePVXtDVEVrkqmROT487Xzul4iIyL6USImItEBRURHDhw8nEAgkpL2+I8byvYefxZ9Rk0Q9fs23Gf63fyak7fYo1WMzqpuSKRER6biUSImItEBJSQmBQIAbH3yUgsFDD6utqMtLWbf+GNuFOxzA2biCcHUVwWAwQdG2T/snU2tKw4zs5sVSAQoREekAlEiJiByGgsFDGTp6bIu3D8UMn+0OYRxDhsdmRM8cyvJ7Jy7Adi7VYzOym4/P9oQoCztsqYzSP8OT7LBEREQOqXPMYBYR6YCijqFwb4iwY/C7LIZ387b7e0S1hjSPzaDMmuRpS1WUvaFYkiMSERE5NCVSIiJJ4JiaoWxVUYPHhhHdvF16flBPv5s8f01p9C9Lw4RiTpIjEhEROTglUiIiSbChPEJp2MG2YHg3HylunY6PyPSQ5raIGlhTGsYYlUUXEZH2S9/cIiJtbGcgys7qmuFrQ7O8neY+UYfLtiyGZXtxWVARMWwPaIifiIi0X/r2FhFpQ5URh/XlEQD6p7vJSXElOaL2JcVtM6C22ERRZYRQTL1SIiLSPimREhFpIxHH8MXeMAbo5rPpm6bCqY3J87vI8FjEDGysiCQ7HBERkUYpkRIRaQPGmJoiCo4hxWVxZJbul3QglmUxKNMLwO5gTFX8RESkXVIiJSLSBrZWRWuKSwDDsrtmmfPmSPPY9E6tGfa4oTxCTIUnRESknVEiJSLSyiojDkWVUaC2Mp2KSzRJv3QPXhuCMcPW2vdPRESkvdC3uYhIK4rVDukzQHefTU+/iks0ldu2GFg7xG9rIEpYhSdERKQdUSIlItKKNpVHqI4ZvDYM0ryoZuvus0lzWzgGtlap8ISIiLQfSqRERFrJnmCMHbX3ixqS5cWjeVHNZlkWBbXl0LcHYsRsVToUEZH2QYmUiEgriDiGdeVhAHqnusn2aUhfS2V7bTI9NgaoTuue7HBEREQAJVIiIq1iU0WEiAN+l0VBhnpRDkdNr1TNexhMyaJ7v4FJjkhERESJlIhIwpWGYhTXDukbnOXB1ryow5bpddHNa4NlcfpV1yc7HBERESVSIiKJFDOG9eU1RRHyU11kejWkL1H6186VGnPmhVSiXj4REUkuJVIiIgm0pTJKMGbw2hYF6Z5kh9OppHtsvMEKbNtmE5nJDkdERLo4JVIiIglSGXHYWlVz49hBmR7cqtKXcP7AHgC2k0Z5OJbkaEREpCtTIiUikgDGGDbUDunrnuIiJ0VD+lqDJxpkw8fvYiyLj3cFkx2OiIh0YUqkREQSoCQYoyLiYFswMEND+lrTW48/AMDykiDBqJPkaEREpKtSIiUicphijmFTRU1vVN80Nz6XhvS1pi/fe410EybsGD4pUa+UiIgkhxIpEZHD9FVVlLADPpdFnzRVk2sLAykH4ONd1UQck+RoRESkK1IiJSJyGGK2J15gYmCG7hnVVvIIkOm1CUQNq/aoV0pERNqeEikRkcNQld4DA2R5bXJ8OqW2FRs4vqcfgI+KgxijXikREWlb+tYXEWmh/qOPI5ySAcARGR4s9Ua1qdE5Kfhsiz2hGBtr56iJiIi0FSVSIiItYICps34FQE+/i1SPTqdtzeuyOKq7D4Blu6qTHI2IiHQ1+uYXEWmB3aRwxLFfA+PQP10FJpJlXI+a4X3ryyPsDekGvSIi0naSmkg9/PDDjB49mszMTDIzMxk/fjz//ve/488Hg0FmzpxJ9+7dSU9P58ILL2Tnzp312igqKuLss88mNTWVnj17cv311xONRtv6pYhIF2KMYS3ZAKRUl+Jz6TepZOnmczEos+a+XeqVEhGRtpTUb/++ffvyv//7vyxbtoyPP/6YSZMm8fWvf53PP/8cgGuvvZaXXnqJBQsW8NZbb7Ft2zYuuOCC+PaxWIyzzz6bcDjMe++9xxNPPMHjjz/OzTffnKyXJCJdwJrSMBWWl1BVJalVe5IdTpdX1yu1cneIcExFJ0REpG0kNZE699xzOeussxgyZAhHHnkkv/71r0lPT+f999+nrKyMRx99lHvuuYdJkyYxbtw4HnvsMd577z3ef/99ABYtWsTq1at58sknGTt2LNOmTeO2225j3rx5hMPhZL40EemkHGN4e3sAgP88+RC20XCyZBuY4SHH5yLkqBS6iIi0nXYzsD8Wi7FgwQKqqqoYP348y5YtIxKJcMYZZ8TXGTZsGP3792fp0qWceOKJLF26lKOOOoq8vLz4OlOnTuXqq6/m888/5+ijj250X6FQiFAoFH9cXl5zY8dIJEIkospP0vrqjjMdbx3Pqr1h9oRieEyMj599nG+ffy4mltjhxLZl4ff7sSHhbR+q/brHLd1va8duGQe/34/jOPU+P2NyPLyxPcbHu6oZleVSBcVOSOdNaY90XHZOTf17WibJN99YuXIl48ePJxgMkp6ezvz58znrrLOYP38+V1xxRb2EB+D444/ntNNO484772TGjBls3ryZhQsXxp8PBAKkpaXxyiuvMG3atEb3OWfOHG699dYGy+fPn09qampiX6CIdBoG2NDrGMIePz33bqJ7xdZkhyS1YpaLdX2Ow7Fd9N+5irRQWbJDEhGRDioQCHDJJZdQVlZGZmbmAddLeo/U0KFDWb58OWVlZTz77LNMnz6dt956q1X3OXv2bK677rr44/Lycvr168eUKVMO+maJJEokEmHx4sVMnjwZj8eT7HCkidaUhfliSzUpLosRmRaTzvk2Dzy3kCGjRid0P6+9+Bx3XT+TOX96mhMnnprQtg/VvolFKV3+DtljT8ZyNf8rorVjX7vqM665YCpvv/02Y8aMqb/vbdUs3xPGPXgsZxWkJXzfklw6b0p7pOOyc6obrXYoSU+kvF4vgwcPBmDcuHF89NFH3H///XzrW98iHA5TWlpKdnZ2fP2dO3eSn58PQH5+Ph9++GG99uqq+tWt0xifz4fP52uw3OPx6EMgbUrHXMdhjOHDkkoAju3hx7vdorq6GmPZLUo4DsYxhurqahxIeNtNbd9yuVu079aO3Vg21dXV2Lbd4LNzXJ7F8j1hNlREqXJssn2uhO9fkk/nTWmPdFx2Lk39W7a7mr2O4xAKhRg3bhwej4fXXnst/tyaNWsoKipi/PjxAIwfP56VK1dSXFwcX2fx4sVkZmYyYsSINo9dRDqvDeURiqtjeGwY1yMl2eFII7qnuBmYUfPl90mJik6IiEjrSmqP1OzZs5k2bRr9+/enoqKC+fPn8+abb7Jw4UKysrL4/ve/z3XXXUdOTg6ZmZlcc801jB8/nhNPPBGAKVOmMGLECL7zne/w29/+lh07dnDjjTcyc+bMRnucRERawhjDeztrKvUdnevH7253v0FJrXE9/GysiLBid5CT81PxulR0QkREWkdSE6ni4mK++93vsn37drKyshg9ejQLFy5k8uTJANx7773Yts2FF15IKBRi6tSpPPTQQ/HtXS4XL7/8MldffTXjx48nLS2N6dOnM3fu3GS9JBHphLZURdlaFcVlwfE9/ckORw5iUKaHbK9Nadjh871Bjs7V30tERFpHUhOpRx999KDPp6SkMG/ePObNm3fAdQoKCnjllVcSHZqISNzSHTW9UaO7p5DuUW9Ue2ZZFuN6+HltaxXLdgUZ2z1FpdBFRKRV6IpAROQgiqujbKyIYAEnqDeqQziquw+PDSXBGEWVureLiIi0DiVSIiIHsWxXNQBHZntVBa6DSHHZHJVTUxDk410qOiEiIq1DiZSIyAFURx0+31NzU/Bje6g3qiM5pray4rqyMGXhWJKjERGRzkiJlIjIAazYHSRqIM/vom9a0m+7J82Qm+JmQIYHA3yqXikREWkFSqRERBrhGMMntRfg43r4VbCgAzomt6ZXavnuIBHHJDkaERHpbJRIiYg04suyMOURh1S3xYhuui9dRzQ4y0uW1yYYM6zeG0p2OCIi0skokRIRaURdkYmx3VNw2+qN6ohsy4r3Si3bVY0x6pUSEZHEUSIlIrKfnYEoWyqj2MDRtRfi0jGN7p6C24Li6hhfVUWTHY6IiHQiSqRERPbzSUlNb9TQbC8ZXpU878j8bpuROTVDM+t6GUVERBJBiZSIyD7CMUPh3jAAR6vkeacwrvbvuKY0TIVKoYuISIIokRIR2UdhaYiwY+jms+mnkuedQk+/m37pbgzwSYlKoYuISGIokRIR2cdnu2sutMd0T1HJ806k7obKn5aoFLqIiCSGEikRkVol1VG2VkWxgFE5KjLRmQzJ8pJdWwp91R71SomIyOFTIiUiUmtFbW/U4Cwv6R6dHjsT27LivVIfFQdVCl1ERA6brhRERICoY1hVe9PWMd3VG9UZHdXdh8+22BOKsb48kuxwRESkg1MiJSICrCsLUx01pHtsjsj0JDscaQU+l82Y2vuCfVSsUugiInJ4lEiJiPDfYX2jc3zYKjLRaY3rkYIFbK6MsDOgG/SKiEjLKZESkS6vPBxjY0XNUK/RGtbXqWV5XQzN9gLwkW7QKyIih0E3SRGRLq+wdm5Uv3Q32T5XkqORpigsLGzxtpl4wcrn891BcnZvIIX/3qQ3NzeX/v37JyJEERHp5JRIiUiX93ltIjWym3qj2rvdxTvAsrjssssOq50r//gCRxz7NX7z1Ev863c3xZenpqZSWFioZEpERA5JiZSIdGm7qqMUV8ewLeJDvqT9qiwrA2OYddvvGHPcCS1uJ+xNpRw4+ZIZnDflDGwTY/O6Ndw+6/uUlJQokRIRkUNSIiUiXdrq2t6oIzK9+N2aNtpR9Bk4iKGjx7Z4e2MMK3aHqIrapA4YRkGGKjWKiEjzKJESkU6rqKiIkpKSAz5vgE/pDZab1NJtfPLJuia3fThzdCT5LMuib7qHNaVhtgei9EnT16GIiDSPvjlEpFMqKipi+PDhBAKBA67Tf/RxXP34K4SqKjl/8jFEgs2v4lZZWXk4YUoSdffZ+F0W1THDzmqVQhcRkeZRIiUinVJJSQmBQIAbH3yUgsFDG12nMr0nQSDTjvHQC4ub1f77byzi0TvnEgwGExCtJINlWfRJc7OuPMLWqiiZ6P5hIiLSdEqkRKRTKxg8tNG5NI4xfFQcBAODevegmy+/We1uXrsmQRFKMvXwuyiqjBJ2DEF/VrLDERGRDkQzq0WkSyoNO0QNeGzI9upU2FXZlkXf2vlR1ak5uH0qgS8iIk2jqwcR6ZJKqmtuwpqb4sKyNKSrK8tLdeG1LRyXhxMunJ7scEREpINQIiUiXY5jDHtC/02kpGuzLYt+6TW9UhOv+DFRzZUSEZEmUCIlIl1OWdghVjusL8Oj06BAT78LOxYmo3tPtpCe7HBERKQD0BWEiHQ5JcGa3qjuPg3rkxq2ZZFatRuATWQSijlJjkhERNo7JVIi0qUYY9hTl0hpWJ/swxcsp3jjl0QsV01FRxERkYNQIiUiXUpZbbU+twVZqtYn+7CAJY/8FoAPi6sJRNQrJSIiB6arCBHpUnbXFpnIUbU+acSqJf9HhgkTdgzv7AgkOxwREWnHlEiJSJdhjGG3hvXJQRhjGMpeAD4tCbI7GE1yRCIi0l4pkRKRLqMi4hBxwGXpJrxyYDmEGJzpxQBvbFWvlIiINE5XEiLSZewO1sx56eZzYWtYnxzEaX1SsYB15WE2V4STHY6IiLRDSqREpEswxsTnR+kmvHIo3VPcHJ2bAsDrW6swxiQ5IhERaW+USIlIl1AVNYRiBhvI9unUJ4d2cn4qPttiZ3WMVXtCyQ5HRETaGV1NiEiXsLe2NyrbZ+PSsD5pglSPzfh8PwBvbqvSTXpFRKQeJVIi0iXsqSt77tOwPmm6Y3v46eazqYoa3tmuwhMiIvJfSqREpNMLxwyVkZo5Lt2USEkzuG2LM/qkA7BsV5CSapVDFxGRGkqkRKTTqxvWl+6x8Lo0rE+aZ1CWl8FZXhxg8VcqPCEiIjWUSIlIp1c3rE+9UdJSZ/RJw2XB5soIa8pUDl1ERJRIiUgnZ7AoDdcUCdD8KGmpbJ+LE/JqCk+8/lUVEUe9UiIiXZ0SKRHp1CJeP44Brw1pbg3rk5Ybn5dKpsemPOKwdKcKT4iIdHVKpESkUwt7awoFdPO5sFT2XA6Dx7aY1DcNgA92VlNaO2RURES6JiVSItKphX01iZSG9UkiDM3yUpDuIWZgydaqZIcjIiJJpERKRDqtvMHDcVwebCDLp9OdHD7LspjcNw0bWFcWZr0KT4iIdFm6shCRTmvYKVOAmiTKpWF9kiC5fjfjeqQAsGRrJVEVnhAR6ZKUSIlIpzXs5MmAyp5L4p3cK5U0t8XekMPHu6qTHY6IiCRBUhOpO+64g+OOO46MjAx69uzJ+eefz5o1a+qtc+qpp2JZVr1/P/zhD+utU1RUxNlnn01qaio9e/bk+uuvJxrV3edFurIIFv2OGgdAN69+M5LE8rlsTu1dU3ji3R0BKsIqPCEi0tUk9erirbfeYubMmbz//vssXryYSCTClClTqKqqP4H3yiuvZPv27fF/v/3tb+PPxWIxzj77bMLhMO+99x5PPPEEjz/+ODfffHNbvxwRaUf2kILL7cYVDZHiViIliTcqx0efNDcRB97YpnLoIiJdjTuZO3/11VfrPX788cfp2bMny5YtY8KECfHlqamp5OfnN9rGokWLWL16NUuWLCEvL4+xY8dy22238ctf/pI5c+bg9Xpb9TWISPtUQs3NUz3hAJCd1Fikc6opPJHO42tKWb03xNjuKfTP8CQ7LBERaSNJTaT2V1ZWBkBOTk695U899RRPPvkk+fn5nHvuudx0002kpqYCsHTpUo466ijy8vLi60+dOpWrr76azz//nKOPPrrBfkKhEKFQKP64vLwcgEgkQiQSSfjrEtlf3XGm4611GGPYTU0xAG+oAhNL/FBf27Lw+/3YkPD2W7PtQ7Vf97il+01m7IfLMg5+v5/CwkIcx2nydn2sHLbamfzf2l0c72w76FCP7t2707dv38MPtgvSeVPaIx2XnVNT/56WMaZdlBtyHIfzzjuP0tJS3nnnnfjyP/7xjxQUFNC7d28+++wzfvnLX3L88cfz3HPPATBjxgw2b97MwoUL49sEAgHS0tJ45ZVXmDZtWoN9zZkzh1tvvbXB8vnz58cTNBHpuEJuPxt6H4NlHI786gNs0/SLYpHmitpuNvQ6hpjLQ96eDeRUbk92SCIichgCgQCXXHIJZWVlZGZmHnC9dtMjNXPmTFatWlUviYKaRKnOUUcdRa9evTj99NNZv349gwYNatG+Zs+ezXXXXRd/XF5eTr9+/ZgyZcpB3yyRRIlEIixevJjJkyfj8WgoUKJ9UhJiw44g6z9+l9z+uQwZNTrh+3jtxee46/qZzPnT05w48dQO0/ah2jexKKXL3yF77MlYruZ/RSQz9kS1PePGX3PUMcc2a1t/VQmVmb0ozi4gGo1im4bFJ4o2rOOun8/k7bffZsyYMYkKu8vQeVPaIx2XnVPdaLVDaReJ1KxZs3j55Zd5++23Dznk4YQTTgBg3bp1DBo0iPz8fD788MN66+zcuRPggPOqfD4fPp+vwXKPx6MPgbQpHXOtY3NVzcT/L95ZwvGXXtKihOBQHGOorq7GgYS335ptN7V9y+Vu0b7bQ+yH23Z+wREcOeaYZm1rjGHF7hBVURe+ASMYmNnwc20sm+rqamzb1uf+MOi8Ke2RjsvOpal/y6SWsjLGMGvWLJ5//nlef/11Bg4ceMhtli9fDkCvXr0AGD9+PCtXrqS4uDi+zuLFi8nMzGTEiBGtEreItF9Rx1BUWTO2+cv3Xk9yNNJVWJZFQW2hie2BKKGYhpOKiHR2Se2RmjlzJvPnz+fFF18kIyODHTt2AJCVlYXf72f9+vXMnz+fs846i+7du/PZZ59x7bXXMmHCBEaPrhmqM2XKFEaMGMF3vvMdfvvb37Jjxw5uvPFGZs6c2Wivk4h0blsqI0QN+EyUneu/SHY40oVke20yPTblEYeiyihDslQ1VkSkM0tqj9TDDz9MWVkZp556Kr169Yr/+/vf/w6A1+tlyZIlTJkyhWHDhvGzn/2MCy+8kJdeeinehsvl4uWXX8blcjF+/Hguu+wyvvvd7zJ37txkvSwRSaKNFTW9Ud0JJjkS6Wosy2JAba9UcXWMQFS9UiIinVlSe6QOVTCwX79+vPXWW4dsp6CggFdeeSVRYYlIB7axPAxArhIpSYIMr02Oz2ZPyGFzRYTh3TQyQkSks0pqj5SISCJVhGPsCsawUI+UJE/dXKk9IYeKsHqlREQ6KyVSItJpbKod1pef6saDLmAlOVLdNj39LoB44RMREel8lEiJSKdRl0jVzVMRSZZ+6TUj50vDDpURJfUiIp2REikR6RSMMWxWIiXtRIrLpkdKTa/UV+qVEhHplJRIiUinsDsUozLq4LagT5oSKUm+vmk1vVK7Q44q+ImIdEJKpESkU6gb1tc33YPbtpIcjQikemoq+AFsrYomORoREUk0JVIi0inUDesrSFdvlLQffWt7R3dVx4jZSb3jiIiIJJgSKRHp8Bxj4tXRND9K2pMMr02mx8YA1andkh2OiIgkkBIpEenwdgSihGIGn8siL1W/+kv70re2gl/Qn01qlpIpEZHOQomUiHR4m/YZ1mdbmh8l7Uu21ybNbYFlc8y5Fyc7HBERSRAlUiLS4cXnR2lYn7RDlmWRX9tTesI3LsckOR4REUkMJVIi0qFFHMNXVZofJe1bjxQXlhMjt/8R7CEl2eGIiEgCKJESkQ5ta2WEmIF0j02Oz5XscEQa5bItfMFyALaQnuRoREQkEZRIiUiHtqnyv/OjLM2PknYspboUgF34qQjHkhuMiIgcNiVSItKh1c2P0rA+ae/csTAbP1mKsSxW7A4lOxwRETlMSqREpMMKxRx2BKKACk1Ix/DBgscAWLE7iGNUdkJEpCNTIiUiHdaWyiiGmvLSmV7Nj5L2b9Xr/8JjYlREHNaVhZMdjoiIHAYlUiLSYRXVzo/qr94o6SBikTB9qARgeUkwydGIiMjhUCIlIh1W0T6FJkQ6ir5UAbCxIkJVxElyNCIi0lJKpESkQwrGHHbWzo/qp0RKOpBUovRKdWOAwlIVnRAR6aiUSIlIh/RV7fyobj7Nj5KOZ2Q3HwCr9yiREhHpqJRIiUiHtLmiZqJ+f/VGSQc0rJsPC9gWiLI3pHtKiYh0REqkRKRDiheaUCIlHVC6x47f++xz9UqJiHRISqREpMMJRh12Vtf8iq+KfdJRjagb3rc3hNE9pUREOhwlUiLS4WypqumNyvG5yPBofpR0TEdme3FbsCcUi/8wICIiHYcSKRHpcIoqNKxPOj6fy2ZwlheAz/fonlIiIh2NO9kBiIg0l27EKx1ZYWFh/P9T8IPVg8+KK8ku/hLrMNrNzc2lf//+hx+giIg0iRIpEelQqvedH6UeKelAdhfvAMvisssuiy9zuT3csGgVZOdw0VU/YcNH77S4/dTUVAoLC5VMiYi0ESVSItKhbKntjeruc5Hu0ehk6Tgqy8rAGGbd9jvGHHdCfHmFzyYEXHPvX0ivLG5R25vXreH2Wd+npKREiZSISBtRIiUiHUpdItVPvVHSQfUZOIiho8fGH+8JxigsDeOk53DkwF5Y1uEM8BMRkbain3NFpEPZUhUFoF+6fgeSziHLZ2NbEHYMVVGVQRcR6SiUSIlIhxGKOewM1CVS6pGSzsFlWXTz1nwd7w6qDLqISEehREpEOoytVVEMkOW1yfTq/lHSeeSk1BzPe0JKpEREOgolUiLSYWh+lHRW3Xw1iVQgaghGnSRHIyIiTaFESkQ6DCVS0ll5bIusuuF9ISVSIiIdgRIpEekQIo5he+38KN0/SjqjnNpeqT2aJyUi0iEokRKRDmFbVYSYgXSPTbZXpy7pfLqn1BzX5RGHiKPqfSIi7Z2uRkSkQ9hSWVutL82t++xIp+Rz2aS5a45t9UqJiLR/SqREpEPQ/CjpClS9T0Sk49AdLUUkqYqKiigpKTnoOg6whb5g2VRuWccnWyKHbLewsDBBEYq0nRyfiy2VUUrDDo4x2Op9FRFpt5RIiUjSFBUVMXz4cAKBwEHX63fUOH70xKtU7d3NqWeMwZimzx+prKw83DBF2kya28JjQ8SB8rBDtk/3SxMRaa+USIlI0pSUlBAIBLjxwUcpGDz0gOsFUnMIAN1Svfzx3/9pUtvvv7GIR++cSzAYTFC0Iq3Psiy6eV0UB2OUKpESEWnXlEiJSNIVDB7K0NFjD/j86r0hAiGH3rk59Cno2aQ2N69dk6DoRNpWts+mOBhjbyjGgAzNCRQRaa9UbEJE2jVjDOXhmhuUZqnsuXQBdb1QgaghFFMZdBGR9kpXJSLSrlVFDTEDLot4aWiRzsxjW6R7ao71UlXvExFpt5RIiUi7VtcbleGxdf8o6TKyvTW9UqW1x7+IiLQ/SqREpF0rD9f8Iq9hfdKVdPPVHO+loVizqlSKiEjb0ZWJiLRbxhjKIzW/yGcqkZIuJMNj47IgaqAyokRKRKQ90pWJiLRb1TFDxKk5UaV7dLqSrsOyLLJrfzzYG9Y8KRGR9khXJiLSbtXNj0r32tiaHyVdTLfa6n0qOCEi0j4pkRKRdite9ly9UdIF1ZVBr4gYIo6G94mItDdJvTq54447OO6448jIyKBnz56cf/75rFlT/yaawWCQmTNn0r17d9LT07nwwgvZuXNnvXWKioo4++yzSU1NpWfPnlx//fVEo9G2fCkikmDGGMrCmh8lXZfPZZFaW/K/TL1SIiLtTlKvTt566y1mzpzJ+++/z+LFi4lEIkyZMoWqqqr4Otdeey0vvfQSCxYs4K233mLbtm1ccMEF8edjsRhnn3024XCY9957jyeeeILHH3+cm2++ORkvSUQSJBQzhB2DRc3Ee5GuqK5aZZnKoIuItDvuZO781Vdfrff48ccfp2fPnixbtowJEyZQVlbGo48+yvz585k0aRIAjz32GMOHD+f999/nxBNPZNGiRaxevZolS5aQl5fH2LFjue222/jlL3/JnDlz8Hq9yXhpInKY6qr1pXssXLbmR0nXlO11sT0Q0/2kRETaoaQmUvsrKysDICcnB4Bly5YRiUQ444wz4usMGzaM/v37s3TpUk488USWLl3KUUcdRV5eXnydqVOncvXVV/P5559z9NFHN9hPKBQiFArFH5eXlwMQiUSIRCKt8tpE9lV3nHX1481xHPx+P5ZxMLH6w3HLQjWPM9xWg+eawrYs/H4/NrRo+2S2n8zY6x63dL963xPbfoarZm5UMGYIhiP4XI3/qGCZms+S4zid9ryi86a0RzouO6em/j0t04I7/R1xxBF89NFHdO/evd7y0tJSjjnmGDZs2NDcJnEch/POO4/S0lLeeecdAObPn88VV1xRL+kBOP744znttNO48847mTFjBps3b2bhwoXx5wOBAGlpabzyyitMmzatwb7mzJnDrbfe2mD5/PnzSU1NbXbsIpJ463sdQ9jjp2/xajKCe5MdjkjSbMwbTdCXQe+SL8kK7Ep2OCIinV4gEOCSSy6hrKyMzMzMA67Xoh6pTZs2EYs1nPgaCoXYunVrS5pk5syZrFq1Kp5EtabZs2dz3XXXxR+Xl5fTr18/pkyZctA3SyRRIpEIixcvZvLkyXg8nmSHkzQrVqxgwoQJPPDcQoaMGh1fHo4ZwntqfrHvPXw07hYM7Xvtxee46/qZzPnT05w48dREhdwm7SczdhOLUrr8HbLHnozlav5XhN73xLdfXhlja7VDpM9QumWObHSdtas+45oLpvL2228zZsyYBEXcvui8Ke2RjsvOqW602qE061vy//7v/+L/v3DhQrKysuKPY7EYr732GgMGDGhOkwDMmjWLl19+mbfffpu+ffvGl+fn5xMOhyktLSU7Ozu+fOfOneTn58fX+fDDD+u1V1fVr26d/fl8Pnw+X4PlHo9HHwJpU139mLNtm+rqaoxl17torwjXJFFpbqvF749jDNXV1TjQooQgme23h9gtl7tF+24PsbfHtg+n/awUi63VYcojgO3CauSeasaq+SzZtt3pzyld/bwp7ZOOy86lqX/LZn1TnH/++UDNHdenT5/eYIcDBgzgd7/7XZPbM8ZwzTXX8Pzzz/Pmm28ycODAes+PGzcOj8fDa6+9xoUXXgjAmjVrKCoqYvz48QCMHz+eX//61xQXF9OzZ08AFi9eTGZmJiNGjGjOyxORdqIsorLnInUyPTYWEHIMwZjB71bxFRGR9qBZiZTj1FzcDBw4kI8++ojc3NzD2vnMmTOZP38+L774IhkZGezYsQOArKws/H4/WVlZfP/73+e6664jJyeHzMxMrrnmGsaPH8+JJ54IwJQpUxgxYgTf+c53+O1vf8uOHTu48cYbmTlzZqO9TiLS/sVvxOt1JTkSkeRz2RYZHpvyiENZ2MHv1g8MIiLtQYvGLmzcuDEhO3/44YcBOPXUU+stf+yxx7j88ssBuPfee7FtmwsvvJBQKMTUqVN56KGH4uu6XC5efvllrr76asaPH09aWhrTp09n7ty5CYlRRNpWxDEEojU1cNQjJVIjy/vfRCpfNZFERNqFFg8Cf+2113jttdcoLi6O91TV+ctf/tKkNppSMDAlJYV58+Yxb968A65TUFDAK6+80qR9ikj7Vtcb5XdZeHT/KBEAsnw2W6qgLBzDGNPoPCkREWlbLUqkbr31VubOncuxxx5Lr169dEIXkYSpS6TUGyXyXxkeGxuIOFAdM6RqnpSISNK1KJF65JFHePzxx/nOd76T6HhEpIsrD9fcWiFLiZRInG1ZZHhtysIOZSGHVM2TEhFJuhadicPhMCeddFKiYxGRLi7qGCo1P0qkUdm1n4nScMP7OIqISNtr0ZXKD37wA+bPn5/oWESki6uoLXvuc1n4XEqkRPZVV8WyPOw0aY6xiIi0rhYN7QsGg/zxj39kyZIljB49usFNq+65556EBCciXUu87LlHSZTI/tI8FrYFUQOBqCHNo3lSIiLJ1KJE6rPPPmPs2LEArFq1qt5zKjwhIi2lQhMiB2ZbNfeTKgs7lEcc0vSDg4hIUrUokXrjjTcSHYeIdHExY+JD+5RIiTQus7bgRHnYoZfuJyUiklS6WhGRdqEy4mAAjw0pLvVsizQms7YXqrz2flIiIpI8LeqROu200w46hO/1119vcUAi0jXF50d5XRoiLHIAGV4bCwg7EIoZUnQ/KRGRpGlRIlU3P6pOJBJh+fLlrFq1iunTpyciLhHpYso0P0rkkFyWRbrHoiJiKI84pOh+UiIiSdOiROree+9tdPmcOXOorKw8rIBEpOsx/Lf0eaYm0IscVKbXRUUkSnnYoac/2dGIiHRdCb1iueyyy/jLX/6SyCZFpAuIulNwDLgtSNVQJZGDqvuxoa4XV0REkiOhidTSpUtJSUlJZJMi0gVEvDXlx7K8tuZHiRxCRu3w12DMEI6p4ISISLK0aGjfBRdcUO+xMYbt27fz8ccfc9NNNyUkMBHpOiKemkQq0+tKciQi7Z/Htkh1WwSiNfOkcl363IiIJEOLEqmsrKx6j23bZujQocydO5cpU6YkJDAR6Rpst5uIp2aiR5YKTYg0SabXJhCNUR6OkZuiREpEJBlalEg99thjiY5DRLqoPsPHgG1rfpRIM2R6bHYQi982QERE2l6LEqk6y5Yto7CwEICRI0dy9NFHJyQoEek6Bh5zElDzC7vmR4k0Tc0w2AhVUUPU0TwpEZFkaFEiVVxczMUXX8ybb75JdnY2AKWlpZx22mk888wz9OjRI5ExikgndsSxXwNqbsQrIk3jc1n4XBahmInfOkBERNpWiyYkXHPNNVRUVPD555+zZ88e9uzZw6pVqygvL+fHP/5xomMUkU7KAQaMPQHQ/CiR5qorg67hfSIiydGiHqlXX32VJUuWMHz48PiyESNGMG/ePBWbEJEmq8CLLy0dy4lpfpRIM2V6bXYFa+ZJeZMdjIhIF9Sin4Adx8Hj8TRY7vF4cBz9MiYiTbMHHwCeSEDzo0Saqa4XtyLiYNDnR0SkrbUokZo0aRI/+clP2LZtW3zZ1q1bufbaazn99NMTFpyIdG57qbmBtydcneRIRDqeFJeFxwYDRD0pyQ5HRKTLaVEi9eCDD1JeXs6AAQMYNGgQgwYNYuDAgZSXl/PAAw8kOkYR6YQcY9i7T4+UiDSPZVnxeVJ192ITEZG206I5Uv369eOTTz5hyZIlfPHFFwAMHz6cM844I6HBiUjntTMQJWbZVJeX0j0aSnY4Ih1SptfF7pCjREpEJAma1SP1+uuvM2LECMrLy7Esi8mTJ3PNNddwzTXXcNxxxzFy5Ej+85//tFasItKJFFVGANj4yVLN7hBpoczaeVJRjx/LVuVLEZG21Kyz7n333ceVV15JZmZmg+eysrK46qqruOeeexIWnIh0XvFEatl7SY5EpONKc1u4LDC2i/whI5MdjohIl9KsRGrFihWceeaZB3x+ypQpLFu27LCDEpHOzTGGryqjAGxQIiXSYpZlkVE7T2rg0ScmORoRka6lWYnUzp07Gy17XsftdrNr167DDkpEOred1VFCjsFtHLZ/uSrZ4Yh0aHXD+wYokRIRaVPNSqT69OnDqlUHvuj57LPP6NWr12EHJSKdW1FFzbC+bEIY3XtO5LDsm0iZJMciItKVNCuROuuss7jpppsIBoMNnquuruaWW27hnHPOSVhwItI51c2PyqHhuUREmifDY4NxyMjtSaBlxXhFRKQFmnXGvfHGG3nuuec48sgjmTVrFkOHDgXgiy++YN68ecRiMX71q1+1SqAi0jnsOz9KiZTI4bMtC3ckSNSbGr83m4iItL5mJVJ5eXm89957XH311cyePRtjagYRWJbF1KlTmTdvHnl5ea0SqIh0DsXVMUKOwWdbZMQiyQ5HpFPwRKqJelMpVSIlItJmmj0GoKCggFdeeYW9e/eybt06jDEMGTKEbt26tUZ8ItLJ1A3r65vuxipLcjAinYQnEqCa7uqREhFpQy0eTN2tWzeOO+64RMYiIl1AXaGJ/ukeUCIlkhDuSBAnFqPa5aEiEiPD40p2SCIinZ5ugy4ibcYxhi1V+yRSIpIQtnHY/uXnAPE5iCIi0rqUSIlImymujhGKGby2RV6qqouJJNLm5R8A8FWV5h6KiLQFJVIi0mbq5kf1S3djW1aSoxHpXDbVJlJbKpVIiYi0BSVSItJmtsQTKQ3rE0m0TZ++D8Cu6hjBmG50LSLS2pRIiUibMMbEEynNjxJJvIqSnfhNBANsq9I8KRGR1qZESkTaxM7qGMHa+VH5mh8l0iqyCQHwlYb3iYi0OiVSItImNleEAc2PEmlN3WoTqS0qOCEi0uqUSIlIm9hUe/+oggxvkiMR6bzqEqntVVGijklyNCIinZsSKRFpdTHHxEsyD8jQ/CiR1pJKFL/bImpgZ7XmSYmItCYlUiLS6rYGokQcSHVb9EhxJTsckU7LAvqm1fxYoXlSIiKtS4mUiLS6uvlRBekeLM2PEmlVfdNqirlsqVSPlIhIa1IiJSKtbrPmR4m0mbr7tH1VFcEYzZMSEWktSqREpFWFYyZ+TxvNjxJpfXmpbtwWBGOG3cFYssMREem0lEiJSKvaUhnBAbK8Ntk+zY8SaW0uy6J37TwplUEXEWk9SqREpFVtrqwb1qfeKJG20i+9Zp7UV5onJSLSapRIiUir2lRbaGJAuuZHibSVvuqREhFpdUqkRKTVBKIOxdU1czT6q0dKpM30TnNjAeVhh/Kw5kmJiLQGJVIi0mqKaqv15aa4SPfodCPSVnwumzx/7fC+Kg3vExFpDUm9snn77bc599xz6d27N5Zl8cILL9R7/vLLL8eyrHr/zjzzzHrr7Nmzh0svvZTMzEyys7P5/ve/T2VlZRu+ChE5kE0Vmh8lkix94/OkNLxPRKQ1JDWRqqqqYsyYMcybN++A65x55pls3749/u/pp5+u9/yll17K559/zuLFi3n55Zd5++23mTFjRmuHLiJNsLF2ftRA3T9KpM3F50kpkRIRaRXuZO582rRpTJs27aDr+Hw+8vPzG32usLCQV199lY8++ohjjz0WgAceeICzzjqLu+++m969eze6XSgUIhQKxR+Xl5cDEIlEiET0hSOtr+4468zHW2koRlnYwbagl6/x1+o4Dn6/H8s4mFhihx/ZloXf78eGhLfd2u0nM/a6xy3dr9735LRvmZrPkuM48c9avq/muV3BGBXBMCkuK6H7bGtd4bwpHY+Oy86pqX9Py7ST255blsXzzz/P+eefH192+eWX88ILL+D1eunWrRuTJk3i9ttvp3v37gD85S9/4Wc/+xl79+6NbxONRklJSWHBggX8z//8T6P7mjNnDrfeemuD5fPnzyc1NTWxL0yki9qbns+OnEGkBssoKF6V7HBEuqR1vY4h4vHTr3g16cG9h95AREQIBAJccskllJWVkZmZecD1ktojdShnnnkmF1xwAQMHDmT9+vXccMMNTJs2jaVLl+JyudixYwc9e/ast43b7SYnJ4cdO3YcsN3Zs2dz3XXXxR+Xl5fTr18/pkyZctA3SyRRIpEIixcvZvLkyXg8nXP+0Iubq6AiytH9e3LisWc1us6KFSuYMGECDzy3kCGjRid0/6+9+Bx3XT+TOX96mhMnnprQtlu7/WTGbmJRSpe/Q/bYk7Fczf+K0PuenPbXrvqMay6Yyttvv82YMWPiy1/9KsDnpRF6jTiaU/JTErrPttYVzpvS8ei47JzqRqsdSrtOpC6++OL4/x911FGMHj2aQYMG8eabb3L66ae3uF2fz4fP52uw3OPx6EMgbaqzHnOOMWypqim5PDg75YCv0bZtqqurMZbdoov2Q8VQXV2NAwlvu7Xbbw+xWy53i/bdHmJvj223dvvGqvks2bZd7/PWP9PH56URtlXHOs25prOeN6Vj03HZuTT1b9mh6hEfccQR5Obmsm7dOgDy8/MpLi6ut040GmXPnj0HnFclIq1vW1WUkGNIcVnkpbbr32tEOrV+tQUntgeiRJ12MZJfRKTT6FBXOF999RW7d++mV69eAIwfP57S0lKWLVvGuHHjAHj99ddxHIcTTjghmaGKdBpFRUWUlJQ0a5t1ZIGVRVa0kuWfbj7geoWFhYcbnogcRDefTarbIhA17AhE6ZuuX8xFRBIlqYlUZWVlvHcJYOPGjSxfvpycnBxycnK49dZbufDCC8nPz2f9+vX84he/YPDgwUydOhWA4cOHc+aZZ3LllVfyyCOPEIlEmDVrFhdffPEBK/aJSNMVFRUxfPhwAoFAs7a76i//YsDY43nothv5+IUnD7m+7v0m0josy6Jvmocvy8JsqYwokRIRSaCkJlIff/wxp512WvxxXQGI6dOn8/DDD/PZZ5/xxBNPUFpaSu/evZkyZQq33XZbvflNTz31FLNmzeL000/Htm0uvPBCfv/737f5axHpjEpKSggEAtz44KMUDB7apG0cy2ZP7mAAfvCjWVz1wx8ecN3331jEo3fOJRgMJiReEWmob3pNIvVVlcozi4gkUlITqVNPPZWDVV9fuHDhIdvIyclh/vz5iQxLRPZTMHgoQ0ePbdK6u4Mx9pTW3LNmxKhRB11389o1CYhORA6mX3rNV/1XVVGMMVhWx76flIhIe9Ghik2ISPtXGqqp1tfNp9OLSHuQ53fjsSEUMxRXx5IdjohIp6ErHRFJqNKwA0C215XkSEQEwK6dJwWwpVLD+0REEkWJlIgkTDDqEIwZLCDTq9OLSHvRv7bIRJESKRGRhNGVjogkzN5QTW9UhsfGbWsehkh70a82kdpSFTno3GQREWk6JVIikjB7w5ofJdIe9Up147agOmooCWqelIhIIuhqR0QSwjGGstr5Ud18mh8l0p64bIs+aRreJyKSSEqkRCQhysMOjgGPDaluDesTaW/6Z6jghIhIIimREpGE2Bsve+7SfWpE2qF9C05onpSIyOFTIiUiCVFXaELD+kTap7p5UoGoYXdI86RERA6XEikROWzBqEN1rOYX7myVPRdpl9y2RW/dT0pEJGF0xSMih21vbZGJTJU9F2nX4sP7KpRIiYgcLiVSInLYSmuHCWWr7LlIu9Yv3Q3Alsqo5kmJiBwmXfWIyGFxjKFUZc9FOoTeaR5cFlRGnfi8RhERaRklUiJyWPYte56msuci7ZrHtuidVtMrpftJiYgcHiVSInJY4tX6vCp7LtIR9EvXjXlFRBJBiZSIHJa9mh8l0qEU1CZSmyvCmiclInIYdOUjIi1WvU/Zc82PEukY+qR5cFtQFTWUBHU/KRGRllIiJSItVjesL9OrsuciHYXbtugb75XS8D4RkZZSIiUiLVY3rC9Hw/pEOpQBGTWJ1CYlUiIiLaarHxFpkahjKFPZc5EOqaA2kdpSGcHRPCkRkRZRIiUiLVIWdjBAissi1a1TiUhHkud343NZhBzD9kA02eGIiHRIuvoRkRbZo2F9Ih2WbVn7VO/T8D4RkZZwJzsAEel4jDHx+VEa1ifSfhQWFjZ5XZt0sHJYuW0PKdu+OOT6ubm59O/f/3DCExHpVJRIiUizVUYMEQdcVk3FPhFJrt3FO8CyuOyyy5q8TY8Bg7nuuaUUh+GEU79GNBQ86PqpqakUFhYqmRIRqaVESkSabU/8JrwubEtlz0WSrbKsDIxh1m2/Y8xxJzRpGwPsjUXw+FK4/5X38EYCB1x387o13D7r+5SUlCiREhGppURKRJpNZc9F2qc+AwcxdPTYJq//ZWmYXcEYGX0Hxkuii4hI0+gqSESaJRQzVEVryiVrfpRIx5Zd+2NIWTiW5EhERDoeJVIi0ix1w/oyPDYeW8P6RDqyLG/NjyGVEUPU0f2kRESaQ4mUiDTLnqCG9Yl0Fj6Xhd9V84NIae0NtkVEpGl0JSQiTRZ1DGW1F1s5KRrWJ9IZ1A3vq5v7KCIiTaNESkSabG8ohgH8LotUt04fIp1B3VzH0lAMYzS8T0SkqXQlJCJNtiek3iiRzibLa2MDYQcCUSVSIiJNpURKRJrEMUZlz0U6IduyyKq9sXapqveJiDSZroZEpEnKww4xAx67pmKfiHQe2bXD+/aGVHBCRKSpdDUkIk2yO94b5cKyVPZcpDPpVtvLXB52iKkMuohIkyiREpFDMsCeYO38KN2EV6TTSXFZpLgsDMQrc4qIyMEpkRKRQ4q5fYQdg239t1SyiHQelmX9twy65kmJiDSJrohE5JBCvnQAunltbA3rE+mUunn/O09KZdBFRA5NiZSIHFLYlwGo7LlIZ5bltbGAUMwQjCmREhE5FCVSInJQ3fsdQcztw0Lzo0Q6M5dtkVlbBl3V+0REDk2JlIgc1KjTzwFqfq122xrWJ9KZ1VXvq7tnnIiIHJgSKRE5qLpEqruG9Yl0et1qe53Lwg5RlUEXETkoJVIickDVuOg78mgwRsP6RLqAVLcdL4NeqjLoIiIHpURKRA6omFQA3JFqvC4N6xPpCup6n/cENbxPRORglEiJyAHtxA+AL1SR5EhEpK3k1M6T2hOK4agMuojIASmREpFGVUYcSvEB4A1VJjkaEWkrGR4bjw0xA+Ua3icickBKpESkUV+WhsCy2LJyGS4nmuxwRKSNWJYVLzqxR9X7REQOSImUiDRqTWkYgFWvv5zkSESkrdUVl9kTdDAa3ici0iglUiLSQHXUoagyAsDnr/8rydGISFvL9tnYQMgxVEWVSImINEaJlIg08GVZGAOkmzC7t2xMdjgi0sZclkX2PkUnRESkISVSItLAF3tDAOQTSHIkIpIs/x3ep0RKRKQxSU2k3n77bc4991x69+6NZVm88MIL9Z43xnDzzTfTq1cv/H4/Z5xxBmvXrq23zp49e7j00kvJzMwkOzub73//+1RWqsKYSEsFIg6bKmqG9eUpkRLpsuoKTlRFDTHbneRoRETan6QmUlVVVYwZM4Z58+Y1+vxvf/tbfv/73/PII4/wwQcfkJaWxtSpUwkGg/F1Lr30Uj7//HMWL17Myy+/zNtvv82MGTPa6iWIdDp1w/ry/C7SULU+ka7K67LI9NRcJoR9GUmORkSk/UnqT0zTpk1j2rRpjT5njOG+++7jxhtv5Otf/zoAf/3rX8nLy+OFF17g4osvprCwkFdffZWPPvqIY489FoAHHniAs846i7vvvpvevXs32nYoFCIUCsUfl5eXAxCJRIhEIol8iSKNqjvO2uPxtnpPNQBHZnpwKh38fj+WcTCxxCdVtmXh9/uxIeHtt2bbrd1+MmOve9zS/ep9T077rdV2dx+URyCUkoHf78dxnKSdt9rzeVO6Lh2XnVNT/56WaSd1TS3L4vnnn+f8888HYMOGDQwaNIhPP/2UsWPHxtebOHEiY8eO5f777+cvf/kLP/vZz9i7d2/8+Wg0SkpKCgsWLOB//ud/Gt3XnDlzuPXWWxssnz9/PqmpqQl9XSIdSdT2sLbPcWBZDNr6Md5Y6NAbiUinpXOCiHRFgUCASy65hLKyMjIzMw+4Xrsd9Lxjxw4A8vLy6i3Py8uLP7djxw569uxZ73m3201OTk58ncbMnj2b6667Lv64vLycfv36MWXKlIO+WSKJEolEWLx4MZMnT8bj8SQ7nLjlu0Os3R4k3+/i/Kmns2LFCiZMmMADzy1kyKjRCd/fay8+x13Xz2TOn57mxImndpi2W7v9ZMZuYlFKl79D9tiTsVzN/4rQ+56c9luz7eLSKGURwx9feo07rvwWY8aMSWj7TdVez5vStem47JzqRqsdSrtNpFqTz+fD5/M1WO7xePQhkDbV3o65LyuqABjezYfH48G2baqrqzGW3aKL6kNxjKG6uhoHEt5+a7bd2u23h9gtl7tF+24PsbfHtlu7/dZsO9cPZZEIw087G9u2k37Oam/nTRHQcdnZNPVv2W7Ln+fn5wOwc+fOest37twZfy4/P5/i4uJ6z0ejUfbs2RNfR0SapiISY0tlzdyKYd0a/tAgIl1T9xQXGEPvoaOo6pq/v4qINKrdJlIDBw4kPz+f1157Lb6svLycDz74gPHjxwMwfvx4SktLWbZsWXyd119/HcdxOOGEE9o8ZpGObE1pGIA+aW6yvK4kRyMi7YXHtvCEa3qrd6B5xCIidZL601JlZSXr1q2LP964cSPLly8nJyeH/v3789Of/pTbb7+dIUOGMHDgQG666SZ69+4dL0gxfPhwzjzzTK688koeeeQRIpEIs2bN4uKLLz5gxT4RaVzdTXiHZas3SkTq84UqiPjS2UEaxhgsy0p2SCIiSZfUROrjjz/mtNNOiz+uKwAxffp0Hn/8cX7xi19QVVXFjBkzKC0t5eSTT+bVV18lJSUlvs1TTz3FrFmzOP3007FtmwsvvJDf//73bf5aRDqy0lCMr6pqh/Vle5McjYi0N95QJZFQkCpfCsXVMfJSNcRPRCSpZ8JTTz2Vg1VftyyLuXPnMnfu3AOuk5OTw/z581sjPJEuY3Vtb1RBuocMDesTkf3YxmHNu0sYNekcvigNKZESEaEdz5ESkbZhjIknUiNyNKxPRBr32cIXAPh8TwinfdyCUkQkqZRIiXRxxdUxSoIxXBYMzdKwPhFpXOFbr+I2DuURh80VkWSHIyKSdEqkRLq4ut6oQZleUtw6JYhI46LhEL2oqd732e5gkqMREUk+XTWJdGH7DusbqWF9InIIfagE4MuyMNVRJ8nRiIgklxIpkS6sqDJCRcTB57IYlKlhfSJycJlE6Ol3ETP/7c0WEemqlEiJdGF1F0JDs724bd0XRkQObXT3mluQrNDwPhHp4pRIiXRRUcfwRWkYgJHdNKxPRJpmZDcfLqumUM2OQDTZ4YiIJI0SKZEuan15mFDMkOGx6Z/uSXY4ItJB+N02R9ZW+FTRCRHpypRIiXRRq/bU3juqmw/L0rA+EWm6uuF9n+8NEXV0TykR6ZqUSIl0QVURh/VlNcP6jlK1PhFppgEZHjI9NqGY4YtSFZ0Qka5JiZRIF7R6bwgH6JXqJtfvTnY4ItLBWJbF0bk1vVIfFVdjjHqlRKTrUSIl0sUYY+LzGtQbJSItNTY3BbcFO6tjfFWlohMi0vUokRLpYnZWx9gVjOGyauZHiYi0hN9tMyrnv71SIiJdjRIpkS5m5Z6a3qghWV5S3DoFiEjLHdujJpFaWxamNBRLcjQiIm1LV1EiXUjMMayurdZ3VO0vySIiLZXrdzMww4MBlu1Sr5SIdC1KpES6kHXlYapjhnSPzcBM3TtKRA7fsT38AHy2O0Qo5iQ5GhGRtqNESqQLWVnbGzWqmw9b944SkQQ4ItNDjs9FyDHxc4yISFegREqki6iIxOL3jhrVXUUmRCQxLMuKz5X6qLiamEqhi0gXoURKpItYuTuEAfqmuclN0b2jRCRxjuqeQprboizssGq3eqVEpGtQIiXSBTjGsLz23lFjc1VkQkQSy2NbnJCXCsC7OwPEHPVKiUjnp0RKpAvYVBGhPOyQ4rIYmq1hfSKSeEfn1vRKlYcdzZUSkS5BiZRIF/BpSU1v1KgcHx5bRSZEJPE8tsX42l6p93YEiKpXSkQ6OSVSIp1cRSTGutoiExrWJyKtaWxuCukem/KIw2e1w4lFRDorJVIindxnKjIhIm3EbVuMz6u5r9TSndXqlRKRTk2JlEgn5hjDihIVmRCRtjOmewoZHpuKiMOyXdXJDkdEpNUokRLpxDaWRyiP1BSZGKYiEyLSBty2xSm9aiv47aimMuIkOSIRkdahREqkE1tWUvNr8FE5PtwqMiEibeSoHB+9U92EHcMbW6uSHY6ISKtQIiXSSe0JxthQHgHgmB7+JEcjIl2JZVlM7psGwOd7Q3xVGUlyRCIiiadESqSTquuNGpzppZvPleRoRKSr6ZXmYUz3miHFi76qxDEqPCEinYsSKZFOKBhzWLm75oaYx/ZQkQkRSY6JvdLwuSyKq2MsL1E5dBHpXJRIiXRCK3eHCDuG7ikuCjI8yQ5HRLqoVI/NhNrCE29tD1AejiU5IhGRxFEiJdLJOMbESw4f2yMFy1KRCRFJnqNzU+iV6iYUM7y8uRKjIX4i0kkokRLpZDaURygNO/hcFiO7aVifiCSXbVmcW5CBx4aiyggf7dIQPxHpHJRIiXQyH9f2Ro3pnoLXpd4oEUm+nBQXk/rUVPF7a1sVxdXRJEckInL43MkOQEQOX1FRESUlJVTgYZPVC4zBu3Mdn+w8vPkIhYWFCYpQRLq6sd1TWFcWZn15hJc2VTB9aLbubyciHZoSKZEOrqioiOHDhxMIBPjW7Q8z9qxvsGLRC8yePSNh+6isrExYWyLScR3ujyt9sSmiF7uC8MzyTQxnLxaQm5tL//79ExOkiEgbUSIl0sGVlJQQCAS46U9Pk3rM6QBMPO5oTn/1ncNu+/03FvHonXMJBjWnQaQr2128AyyLyy677LDbOvKk05n++/l8ZWfw0J2/Yenf/0xqaiqFhYVKpkSkQ1EiJdJJ5AwfR9CyyPbajBwxPCFtbl67JiHtiEjHVllWBsYw67bfMea4Ew67vUBVCYGMnpz3i98w5ZzzuPU751FSUqJESkQ6FCVSIp1AWrdcgv4sAPqk6WMtIq2jz8BBDB099rDbMcawrixCcTCGf/jx5BYMOvzgRETamKr2iXQCJ138A7Bs0j0WWV59rEWkfbMsi0FZHjI8NsZ2cfnvnyaIK9lhiYg0i664RDq4KBYnXvQ9APqkeXQDXhHpEGzLYli2FzsWpnu/gSyjJ1URJ9lhiYg0mRIpkQ7uK9JJzeqGKxqmu08faRHpOLwui6y9X1G6YytVloen15URUDIlIh2EJlOIdGDhmGEjmQD4A7uxrKwkRyQi0jwuJ8Kfr7qYXz77NiWk8NjKHYyjGC/1EyrHqXm8YsUKbLt5PxqpvLqItAYlUiId2Ccl1UQsF7u3bKS7L5zscEREmm138Q52f7WJ3150KjP+9H+Q25O/b6jisVnfomzH1vh6fr+fp59+mgkTJlBdXd2sfai8uoi0BiVSIh1UKObwwc6ai4nX/ng3Q6/5cZIjEhFpvrrS6hf/4Ef0s6ooj0XIO2IoN7z0EZllW3FHQwBYxoHQHh54biHGanqP1OZ1a7h91vdVXl1EEk6JlEgHtWxXkOqYIdVEWPHqP0GJlIh0YH0GDmLkyBGEYobVe0ME8FDRfQDDsr1k+1yYWJS9y95kyKjRWC5dvohI8mlmukgHFIw5fFBc0xs1iDKcWCzJEYmIJIbPZXFUjo9Mj03MwOq9YbZVRTHGJDs0EZF6lEiJdEAfFVcTihlyU1zkE0h2OCIiCeW2LUbmeMlNcWGAjRUR1lXEcJoxpE9EpLXpjCTSwQSiDh8XBwE4OT8V3TVKRDoj27I4MsvDgAwPALtChk15RxGMqWdKRNoHJVIiHcy7OwKEHENPv4uh2d5khyMi0mosy6JPmptR3bx4LAh50/lsb5S9IQ1nFpHkUyIl0oHsCcb4dFdNb9SkPmlYlvqjRKTzy/K5GN3NTUqogmjtvKktlRHNmxKRpGrXidScOXOwLKvev2HDhsWfDwaDzJw5k+7du5Oens6FF17Izp07kxixSOt6c1sVDjAo08OADPVGiUjX4XNZFOxcSV5KzaVLUWWUL0rDRB0lUyKSHO06kQIYOXIk27dvj/9755134s9de+21vPTSSyxYsIC33nqLbdu2ccEFFyQxWpHWs6UywpdlYSzg1N5pyQ5HRKTN2RgGZbgYnOnBAvaEHFbsDhGIOskOTUS6oHZ/Iwa3201+fn6D5WVlZTz66KPMnz+fSZMmAfDYY48xfPhw3n//fU488cS2DlWk1RhjeH1rFQBjuqfQw9/uP7oiIq0mL9VNqsfmi71hgjHDit0hhmTVVPkTEWkr7f5qbO3atfTu3ZuUlBTGjx/PHXfcQf/+/Vm2bBmRSIQzzjgjvu6wYcPo378/S5cuPWgiFQqFCIVC8cfl5eUARCIRIpFI670YkVp1x1lTj7cvysJsD0Tx2HBirqfedo7j4Pf7sYyDiUUTGqdtWfj9fmxIeNut3b5ib1n7dY9bul+978lpvyvEvv+xmW7DmG4uviyPURYxrCkNU+G3KUiz680ftUzNOdJxHH3HS8I19/tcOoam/j0t045nav773/+msrKSoUOHsn37dm699Va2bt3KqlWreOmll7jiiivqJUQAxx9/PKeddhp33nnnAdudM2cOt956a4Pl8+fPJzU1NeGvQ+RwOJbN+l7HEHX7yC3dTI/yr5IdkohIu2GAXdkF7M7sC0BqsJQ+JV/idnRhKyItEwgEuOSSSygrKyMzM/OA67XrRGp/paWlFBQUcM899+D3+1ucSDXWI9WvXz9KSkoO+maJJEokEmHx4sVMnjwZj8dz0HXf2lHNxyVhsjwW04dk4LHrV+pbsWIFEyZM4IHnFjJk1OiExvnai89x1/UzmfOnpzlx4qkJbbu121fsLWvfxKKULn+H7LEnY7maP2hB73ty2u8KsR/q2CwJOTU37TXgtWFoposMj83aVZ9xzQVTefvttxkzZkxCYxdpzve5dBzl5eXk5uYeMpFq90P79pWdnc2RRx7JunXrmDx5MuFwmNLSUrKzs+Pr7Ny5s9E5Vfvy+Xz4fL4Gyz0ejz4E0qYOdcztqo7ySUkYgMn9Mkj1NazUZ9s21dXVGMtu0YXvwTjGUF1djQMJb7u121fsh9e+5XK3aN/tIfb22HZrt9+VYj/QsdkjFdK8DoW186ZWlcYYnGVjrJpzpG3b+o6XVqNryM6lqX/Ldl+1b1+VlZWsX7+eXr16MW7cODweD6+99lr8+TVr1lBUVMT48eOTGKVIYhhjWPRVJQ4wJMvL4CyVOxcROZhUt82Y7j5yfDYGWFsWIZDaPdlhiUgn1a57pH7+859z7rnnUlBQwLZt27jllltwuVx8+9vfJisri+9///tcd9115OTkkJmZyTXXXMP48eNVsU86hdV7Q2ypjOK24Iy+KncuItIUbttiWLaXzZVRtlZFCaTnctFt81CBdBFJtHadSH311Vd8+9vfZvfu3fTo0YOTTz6Z999/nx49egBw7733Yts2F154IaFQiKlTp/LQQw8lOWqRwxeMOvFy5yflp5LlVUlfEZGmsiyLARkeUlwW68vCHH32RXxsgoyMOvjdHWowjoi0Y+06kXrmmWcO+nxKSgrz5s1j3rx5bRSRSNt4bWsVVVFDjs/F8T39yQ5HRKRDyk91s2vzBordWZRmZPLXL0v55hFZ5Oh+UyKSAPpZRqSdWV8WZuWemqqSZ/VPx71flT4REWk6byTAw1ecRYqJsjfk8NcvSymqVGl0ETl8SqRE2pFgzOHVLZUAHNsjhb7pqgAkInK4ijes4QR20CvVTTBm+Pu6MlbvCR16QxGRg2jXQ/tEOouioiJKSkrijx2nZtrzihUrsO3//p7xOTlUWOn4TYSs4i18Unzo27wVFhYmPmARkU7Gh8MlQ7J4eXMFa0rD/N/mCioiMY7v6cey1PMvIs2nREqklRUVFTF8+HACgUB8md/v5+mnn2bChAlUV1cDMOj4CfzgkX8CcP+V3+Cnn7zXrP1UVlYmLmgRkU7IY1ucPyCD17ZW8fGuIG9sC1ARcTi9T5qSKRFpNiVSIq2spKSEQCDAjQ8+SsHgoQBYxoHQHh54biHGsnEsm9KcAThASmAvN/zmt01u//03FvHonXMJBoOt9ApERDoPy7I4o286mV4Xr9cmVBURh3MLMjQnVUSaRYmUSBspGDyUoaPHAmBiUfYue5Mho0aD7eKL0jBOyCHFZTF2QC9cdu8mt7t57ZpWilhEpPM6vqefdI8dH+pXFSnjG0dkkqLy6CLSRDpbiCTZzuoYe0IOFjA024tLv4iKiLSJEd18fGtQJj7b4quqKE+uLaMsHEt2WCLSQSiREkmiQNSwsbymDG9Bhpt0jz6SIiJtqSDDy6VHZpHhsSkJxvjbl2XsDESTHZaIdAC6ahNJEgeLL8ujOEC216Z3qkbaiogkQ0+/m+8cmUVuiovKiMOTa0tZVxZOdlgi0s4pkRJJkp05RxCIgduCIVleVYwSEUmiTK+Ly4ZkUZDuIeLAPzeU83FxdbLDEpF2TImUSBLsrHYoTc8H4MhsL16XkigRkWRLcdtcNDiT0d19GGDJ1ioWbakkZg59Tz8R6XqUSIm0sYqIw4bKmsnM/VNtuvlcSY5IRETquCyLaf3SObV3KgCflAR5Zl0ZVREnyZGJSHujREqkDUUcw5q9YQyQHthNn1R9BEVE2hvLsjgxL5ULBmbgtS22VEZ5fE0p2wORZIcmIu2IZreLtBEDrCkNE3IMKS7ovXstVkF+ssMSEekSCgsLW7Tdcbj5lB5URDz87YtShrKXvlRSNyA7NzeX/v37Jy5QEekwlEiJtJHKjDxCYQfbgqGZbsJG9yoREWltu4t3gGVx2WWXtbgNX3oGF82dx4hTp1FIDgtee4/nbruW6vJSUlNTKSwsVDIl0gUpkRJpAxOv+AkhfzZQc9PdNLdBhXVFRFpfZVkZGMOs237HmONOaHE7BghWFFOV3oNRp5/D6FOnUrX6A+ZO/x9KSkqUSIl0QUqkRFrZDlI585obATgiw0OOz4WJ6WaPIiJtqc/AQQwdPfaw26mMOKwpDRPEg3/U1zj3+t8QRZVXRboizXQXaUVFlRFW0R2AlMAeeqXptwsRkY4s3WMztruPnn4XWBYnfftK3qMXG8o1zkCkq1EiJdJKtgciPLu+HMeyWP3mv0mr3JXskEREJAFctsWQLC+Ze7ewZ+tmgpabf6wv54WN5ZSFNf9VpKtQIiXSCkqqo/xjXTlhx9DNBHl69gwN/BAR6WS8kQD3XzSR/qYCgC9Kw/xp9V7e3lZFOKab+Ip0dkqkRBKsNBTjmXXlVMcMvVLdHM0uoqFgssMSEZFWEK6uYhh7uWJoNv3S3UQNvLezmj+s3sPHu6qJOkqoRDorJVIiCbQ3FGP+2jIqow49UlxcNCgTN/oSFRHp7PJS3VwyOIv/GZhBttemKmpY8lUVf1i9l0+UUIl0Spr5LpIgJdVRnllXTmXUIcfn4luDs/C79VuFiEhXYVkWQ7N9DM708tmeIEt3VFMecVj0VRXv7ghwdK6fY3JTSPXou0GkM1AiJZIAOwNRnllfRnXU0CPFxcWDs0jTF6WISJdQWFjY6PLjga9IZyOZVEXdvLMjwHvbq+hFFQVUkE7kkG3n5ubqHlUi7ZQSKZHD9FVlhAUbygnFDPl+N98anKmeKBGRLmB38Q6wLC677LKDrme73YyadA4nX3Y1/UYdw1bS2Uo6X773Ou889Qhrl75xwG1TU1MpLCxUMiXSDimREjkMq/eE+FdRBTEDfdLcfHNQJikuJVEiIl1BZVkZGMOs237HmONOOOT6BojuLaLa342wL50jT5rEkSdNwhUNkVJdhi9Yhm2c+Pqb163h9lnfp6SkRImUSDukREqkBYwxLN1ZzdvbAwAcmeXl3AEZeGwVORcR6Wr6DBzE0NFjm7VNMOqwLRCluDpGzO2jKqMn1Rk9yfW7yE91k6Hh4SLtnhIpkWaKOIaFWypZtScEwPE9/ZzaOxXbUhIlIiJNk+K2OSLTS/90w65gjB2BKIGoobg6RnF1jDS3hZWShSfFn+xQReQAlEiJNMPeUIznN5ZTXB3DAib3TeOYHvqSExGRlnHbFr1S3eT7XVREHHYEYpQEY1RFDWTmM3vhSr7Apn8wSm6KLttE2hN9IkWaaE1piFc2VxJyDKlui/MGZDAgw5vssEREpBOwLItMr4tMr4uBjmFndZQtpQH8GVkUAX8uLKV/uoejc1M4MsuLS0PJRZJOA3BFDiEcMyzaUsnzGysIOYa+aW6uGJqtJEpERFqFx7bom+ah2+6N/GXmRfQwASygqDLCi5sqeOjzPby9rYqycCzZoYp0aeqREjmIrVURXt5cwd5QTRWl43qkcGqfNFyaDyUiIq3MAtYufYOjKWHwyDEs3x1kRUmQqqjhvZ3VLN1ZzaBML0fnpnBEpgdL300ibUqJlEgjIo7hvR0B3t9ZjQEyPDZn9U9nYKZ6oUREpO1lel1M6JXG1/JTWVsa5tOSIJsrI6wrD7OuPEyW1+bo3BRG56SQqop/Im1CiZTIfjaUh1m0pZLScE0v1MhuPib3TSNFN9kVEZEkc1kWw7r5GNbNx+5glE9LgqzcE6Is7PDmtgD/2R5gaLaPsbkp9Etzq5dKpBUpkRKpVRGO8frWKgpLw0BNL9QZfdMYmu1LcmQiIiINdU9xc0bfdCb2TqNwb4hPS4JsD0RZvTfE6r0hsrw2o3J8jMpJoZvPlexwRTodJVLS5YVjhg+KA3yws5qoqRmTfmyPFE7ulYrPpV4oERFJrsLCwiatdxRQgIctZLCDVMrC8O6Oat7dUU2mCZFPgDwC+KkpUpGbm0v//v1bMXKRzk2JlHRZjjGs3BPiP9sCVEZrhvFlmyDD2EtmcYTPixOzn6Z+AYqIiOxrd/EOsCwuu+yyZm/rSfEz4tRpHHPOtxh8wkTKXT7K8fEl3fhq9XLWvLOYTR+/w5Jnn6agQMmUSEsokZIuxxhDYWmYd7YH2BOq+VUu3XZ4bPaP+OTf/2y1/VZWVrZa2yIi0vlUlpWBMcy67XeMOe6EFrfj7NlIKCWDsC+diCeVviPG0nfEWJhxPc/ujjHIKadfuod+6R56pLg0r0qkiZRISZfhGMOXpWHe3RFgV7AmgfK7LE7M8+Pa+gXX/Puf3PjgoxQMHprQ/b7/xiIevXMuwWAwoe2KiEjX0GfgIIaOHpuQtsIxw95QjKLi3ZRHgIxMvigN80Xt/GCfyyLP7yY/teZfboqLbj4XHt0AWKQBJVLS6cWM4fM9Id7fWR3vgfK5LI7v6efYHin4XDafbK1Zt2Dw0IR9WdXZvHZNQtsTERFpKa/LIi/VTWn5dq4/51QWfbAcf++BFFVG2FoVIRQzFFVGKKqM1Nsu02uT43PV/Eup+W83n4tMj41LSZZ0UUqkpMMoKiqipKSkyetHsPiKdLaQQdCqOdTdxqE/FRREy/FsM3y+rWZdzWMSEZGuxolG2VG4nOGEOBIYDFTioRwv5XipwEsVHqKWTXnYoTzssKmifoKFMfiI4Sda+++//9+nWyZDB/TF1lBB6aSUSEmHUFRUxPDhwwkEAodct8eAwYz/1g845tyL8aWmAVBRUsx/nnyID559nHCg6oDbah6TiIh0Bc0pZJGW3Z3cgkG1/waTW3AEPQoG0613f7z+VEK4CeGmdL/tPi4F69NdpMSTq5r/phIhvfa/La2Nq4qD0h4okZIOoaSkhEAgcMA5TAaLkC+doD+bqDc1vtwVDeEP7KG7U8HAS77Ndy/5dqPtax6TiIh0JYkoZGEqtmAqXcRcHhyXh1jtP8floToSw/L5cbk9VGNTjafB9rFolN1bNlC88UuKN3xJ8YY1FG/4kl2b1hINhw6679TUVAoLC5VMSVIpkZIOZd85TMYYKiIOu6pjlARjRM1/18vx2fRKdZPlTcGysg/ZruYxiYhIV5TIQhb7WvTPv/Prn1zJj+98iKHHHPffJMv2EHN7ibm8uNxueg48kp4Dj4RJ+2xsDK5YGFc0jDsa4v+3d+fRUZX3H8ffd2YyQ/YQErKwRUwJSzFQMC3lVysaCdRCtVIQ/SFbObW0Wosg2EVB2/7wlLIJRdqiIKdqbUXkUIqlnIRiRKRgUCyLLLKEBEiAQPbM3Pv7Y5KBmAVGk0xIPq9z7pk7z3Pvk2/ueZIz33me+1y7pwK7uwK7pwoDOH74IL/68VQKCgqUSElAKZGSG4oFXK4yOV/uTZ7KPVeyJ6fNIC7ETlywA5dd87FFREQCyTJN4hPi+XKfemaSWBaVJpS5TUrdFqVuk7LqVzcGHocLj8NFJeG+cwwgxGEQHRHPbRMf4RwdKKr0EBFk05LtEhBKpKTVq/CYnCWY0bPnc6FTTwoLrwz32wzo5LITG2wnyql/pCIiIjcCwzBw2cFltxPlulJek2CVus3qzfK9mhaUuC3oEMnInzzFB8AHH1/AaTOIDbYT08FObAcHMcHeVQXDgmxa6EKalRIpaXXK3CanS9zklniXXz1d4sY0Yhkybiom3uSpo9NGp+rlV7XsqoiISNtwdYLV0WX3lVuWRbnHotRtceJULjve2c7QjG9TajipNC1yS9zklriBK1+22g3vsu1RTjtRLu8XrpHVS7aHBtkIc2jpdvlilEhJwHhMi6JKk4JyN+fKPZwtc3O2zM2FCrPOscFWFVlv/Jn09HT6pSRj1zdMIiIi7YZhGAQ7DIIdUFB6ntd+9gNmZewmNXUg5yu80/3PlXk/TxSUuymqMPFYcKHC9H6u+Oyy7dWC7QZhNYlVdXIVVr1fUxbiMHDaDM16kTqUSEmTqzItyt0mZR6LcrdFmcc7PH+50uRylfc5FBcrPVyqNLEaaCPaZadLqIMuoUEkhQdx9OO9PPabWdx92ztKokRERKTOMyDDqrebABOowE4ZDkpxUHbVVoGdCuxYhkGZx6LM4+FcuafRn2WzTFx4cFLz6sGFhyDLTXFwNP/ee4AONhMnJvYGP914aen2tkOJVCt0vQ+etQAPBm5sVGHDjQ0TAw9GrVfv5l0iPDgkhPCISEzAtMC0vHOOLbz7HgusmvLPHGNaYGJV1195X7NfaVqUVXnwcP2Jjs0yCcVNGJWEU0UYVURSSVC5CeVgFsJR9MBcERER8fLnGVgNMQyD4MiOhMfEERETR/hVW0RsHGHV5WGdOuMKCcU0bNXLuH+2ISA2hlNXFZVfvsTFM7kU5edyIe8kF/NzKco/xcX8XC7mn6KquIj/7tunZKoNUCLVyhw/foLBX/8fHKERRMTGEx5b80cdT3hMZ0I7xhASEUVwREdCIqNwOF3XbvRqZUBZnX8DTcibRHncbsouXaC06CJlly5QcqGQorN5FJ05zaWzeZzPPU7hyWMUF571q3U9MFdERKR9a4pnYDXkvcx/smr29/nxs78jpUtHKD6FVWJg2hzVm933atkcmIYdmwGVDhemzQGGjQ7hEcSHRxCf3Kfen2F6PKwrsIgpv0iE03vPVoTT5t132ogIsuGyayrhjaDNJFLLly/nt7/9Lfn5+aSmpvL888+TlpYW6LD8kldaxWuFwTy+cY9/J1oWhunBsEwMLAzL9JZZJoZlYeAdZjp/Np+P3n8X0+3G9LjxeNyYHo/vvenxeF/dV/brO8bjrqo+rvp4jxvTNKksLaG06ALfn/lzevX7sjelCgVCIyEhEvr2/NzXRg/MFRERkas1xzOwap4reb1tWx43F3Zn0XHQ7WCz46meoVPhubJVeizKzepXt4nNbqccOFXihhJ3ve06bYYvqapJsEKr79cKddgIqd6CbCjhCqA2kUj95S9/YcaMGbzwwgt89atfZfHixWRkZHDw4EE6d+4c6PCuW7DdhlX9x2CYbkKcQThtBkF2702OTrtBkM3AYYDDZhBkA4dhYDOu74/on3u28db/PVH9Dc5tTR5/TbLTKS6e3s30j01ERESkNTKMK5/RQhr4hH3gwxwe/9/7WLzyT8Qn3Uw5jurNez9XOXaqDDuVpkVB9TMzof6FMsB7i4QTE0f1ZpgenDZwYGHHxIGFDe+X6gZU7+N7/9ly3+9y1X1eV5dXVVXhDHLUKb/y3mqgvHabnz3fADpGRXFz9y6EOGwN/r6tTZtIpBYuXMi0adOYPHkyAC+88AJ///vfefHFF5kzZ06Ao7t+EU4bt1m53PbVW3lhY2azPGkcmu8p5kp2RERERBp2/mw+lwvPMvW+UQ0eE9QhmMjOCUTGdyUqoStR8V2Iiu9KWHQsoR07ERYdQ1h0LEEdgjENG+VclXjYG2y2aTibse0iSD2Sz8iUxGb8IU3rhk+kKisr2b17N08++aSvzGazkZ6ezo4dO+o9p6KigoqKK88ZKCoqAuD8+fNUVTWc9beEyksXCHLYObxvL+XFl5u07dxPP6FDhw4cP/hfwjr4eW9VgNtva7EbWERXlnJq57v1fHfzxdtvKm3tut8o7Qcy9i/aN3XdA9N+e4j98/bN1hB7a2xfsTdN2/72y4N7/0MHl4tvjZ9IUvKX/IisCopPQ/Fp3CfhIoDdgeFwYXM6wRFE3qlcDuzby8Chd9ApIcFbb3eAzQaGAYYNA+8rhgE2A8O4UofhHaO6MsnJqB428hZUlJdRfOkSEVHRBLmcVw0p1T7Ou2t8pu5KPVfPoqret0yLyooKCsNMCmOavj/66/Jl72dwy2p8BUbDutYRrdzp06fp0qUL7777LkOGDPGVP/HEE2zbto2dO3fWOWfu3LnMmzevJcMUEREREZEbyMmTJ+natWuD9Tf8iNTn8eSTTzJjxgzfe9M0OX/+PJ06ddINe9IiLl26RLdu3Th58iQRERGBDkfER31TWiv1TWmN1C/bJsuyuHz5MomJjU8zvOETqZiYGOx2O2fOnKlVfubMGeLj4+s9x+Vy4XLVHjaMiopqrhBFGhQREaF/vNIqqW9Ka6W+Ka2R+mXbExkZec1jbpxlMRrgdDoZNGgQW7du9ZWZpsnWrVtrTfUTERERERFpKjf8iBTAjBkzmDhxIoMHDyYtLY3FixdTUlLiW8VPRERERESkKbWJRGrcuHGcO3eOp556ivz8fAYMGMDmzZuJi4sLdGgi9XK5XDz99NN1ppiKBJr6prRW6pvSGqlftm83/Kp9IiIiIiIiLe2Gv0dKRERERESkpSmREhERERER8ZMSKRERERERET8pkRIREREREfGTEimRZvTvf/+bUaNGkZiYiGEYrF+/3ldXVVXF7Nmz6d+/P6GhoSQmJvLQQw9x+vTpwAUs7UZjfRNg7ty59O7dm9DQUDp27Eh6ejo7d+4MTLDSblyrX17t4YcfxjAMFi9e3GLxSft1rb45adIkDMOotY0YMSIwwUqLUSIl0oxKSkpITU1l+fLldepKS0vZs2cPv/zlL9mzZw/r1q3j4MGDjB49OgCRSnvTWN8E6NWrF8uWLeOjjz7inXfeISkpieHDh3Pu3LkWjlTak2v1yxpvvvkm7733HomJiS0UmbR319M3R4wYQV5enm979dVXWzBCCYQ28RwpkdZq5MiRjBw5st66yMhItmzZUqts2bJlpKWlceLECbp3794SIUo71VjfBHjggQdqvV+4cCGrVq3iww8/5M4772zu8KSdula/BMjNzeWRRx7h7bff5u67726hyKS9u56+6XK5iI+Pb6GIpDXQiJRIK1JUVIRhGERFRQU6FBGfyspK/vCHPxAZGUlqamqgw5F2zDRNJkyYwKxZs+jXr1+gwxGpJSsri86dO5OSksIPf/hDCgsLAx2SNDONSIm0EuXl5cyePZvx48cTERER6HBE2LhxI/fffz+lpaUkJCSwZcsWYmJiAh2WtGPPPfccDoeDRx99NNChiNQyYsQIvvvd73LTTTdx5MgRfvaznzFy5Eh27NiB3W4PdHjSTJRIibQCVVVVjB07FsuyWLFiRaDDEQFg2LBh5OTkUFBQwB//+EfGjh3Lzp076dy5c6BDk3Zo9+7dLFmyhD179mAYRqDDEanl/vvv9+3379+fW265hZtvvpmsrCxNh27DNLVPJMBqkqjjx4+zZcsWjUZJqxEaGkpycjJf+9rXWLVqFQ6Hg1WrVgU6LGmntm/fztmzZ+nevTsOhwOHw8Hx48d5/PHHSUpKCnR4IrX07NmTmJgYDh8+HOhQpBlpREokgGqSqE8++YTMzEw6deoU6JBEGmSaJhUVFYEOQ9qpCRMmkJ6eXqssIyODCRMmMHny5ABFJVK/U6dOUVhYSEJCQqBDkWakREqkGRUXF9f6NurYsWPk5OQQHR1NQkICY8aMYc+ePWzcuBGPx0N+fj4A0dHROJ3OQIUt7UBjfbNTp078+te/ZvTo0SQkJFBQUMDy5cvJzc3le9/7XgCjlrausX7ZvXv3Ol82BQUFER8fT0pKSkuHKu1MY30zOjqaefPmcd999xEfH8+RI0d44oknSE5OJiMjI4BRS7OzRKTZZGZmWkCdbeLEidaxY8fqrQOszMzMQIcubVxjfbOsrMy69957rcTERMvpdFoJCQnW6NGjrffffz/QYUsb11i/rE+PHj2sRYsWtWiM0j411jdLS0ut4cOHW7GxsVZQUJDVo0cPa9q0aVZ+fn6gw5ZmZliWZbVU0iYiIiIiItIWaLEJERERERERPymREhERERER8ZMSKRERERERET8pkRIREREREfGTEikRERERERE/KZESERERERHxkxIpERERERERPymREhERERER8ZMSKRERuaHMnTuXAQMGNHrMp59+imEY5OTktEhM15Kfn89dd91FaGgoUVFRTdr27bffzmOPPdakbYqIyLUpkRIRkTomTZrEPffcE+gw6jVz5ky2bt3qe9+aY62xaNEi8vLyyMnJ4dChQ/UeM3fuXAzDwDAMHA4HSUlJ/PSnP6W4uLjRttetW8ezzz7bHGGLiEgjHIEOQERE5HpYloXH4yEsLIywsLBAh+OXI0eOMGjQIL70pS81ely/fv3417/+hdvtJjs7mylTplBaWsrKlSvrHFtZWYnT6SQ6Orq5whYRkUZoREpERPy2bds20tLScLlcJCQkMGfOHNxut6/+8uXLPPjgg4SGhpKQkMCiRYvqTEFbu3YtgwcPJjw8nPj4eB544AHOnj3rq8/KysIwDP7xj38waNAgXC4X77zzTq2pfXPnzmXNmjW89dZbvtGcrKwsXxtHjx5l2LBhhISEkJqayo4dO3x1q1evJioqio0bN5KSkkJISAhjxoyhtLSUNWvWkJSURMeOHXn00UfxeDyNXo8VK1Zw880343Q6SUlJYe3atb66pKQk3njjDV5++WUMw2DSpEkNtuNwOIiPj6dr166MGzeOBx98kA0bNvh+1wEDBvCnP/2Jm266iQ4dOgB1p/ZVVFQwe/ZsunXrhsvlIjk5mVWrVvnq9+3bx8iRIwkLCyMuLo4JEyZQUFDQ6O8nIiJ1KZESERG/5Obm8q1vfYtbb72VvXv3smLFClatWsWvfvUr3zEzZswgOzubDRs2sGXLFrZv386ePXtqtVNVVcWzzz7L3r17Wb9+PZ9++mm9ScacOXOYP38++/fv55ZbbqlVN3PmTMaOHcuIESPIy8sjLy+Pr3/96776n//858ycOZOcnBx69erF+PHjayV8paWlLF26lNdee43NmzeTlZXFvffey6ZNm9i0aRNr165l5cqV/O1vf2vwerz55pv85Cc/4fHHH2ffvn384Ac/YPLkyWRmZgKwa9cuRowYwdixY8nLy2PJkiXXfa2Dg4OprKz0vT98+DBvvPEG69ata/D+r4ceeohXX32VpUuXsn//flauXOkbwbt48SJ33HEHAwcO5D//+Q+bN2/mzJkzjB079rpjEhERL03tExERv/z+97+nW7duLFu2DMMw6N27N6dPn2b27Nk89dRTlJSUsGbNGl555RXuvPNOAF566SUSExNrtTNlyhTffs+ePVm6dCm33norxcXFtabuPfPMM9x11131xhIWFkZwcDAVFRXEx8fXqZ85cyZ33303APPmzaNfv34cPnyY3r17A95krmY0CWDMmDGsXbuWM2fOEBYWRt++fRk2bBiZmZmMGzeu3hgWLFjApEmTmD59OuBNIt977z0WLFjAsGHDiI2NxeVyERwcXG+MDdm9ezevvPIKd9xxh6+ssrKSl19+mdjY2HrPOXToEK+//jpbtmwhPT0d8F7bGsuWLWPgwIH85je/8ZW9+OKLdOvWjUOHDtGrV6/rjk9EpL3TiJSIiPhl//79DBkyBMMwfGVDhw6luLiYU6dOcfToUaqqqkhLS/PVR0ZGkpKSUqud3bt3M2rUKLp37054eDjf/OY3AThx4kSt4wYPHvy5Y716BCshIQGg1vTBkJAQXxIFEBcXR1JSUq1ELi4urtY5n7V//36GDh1aq2zo0KHs37/f73g/+ugjX3KYlpbGkCFDWLZsma++R48eDSZRADk5Odjtdt+1/Ky9e/eSmZnpu88sLCzMl1QeOXLE73hFRNozjUiJiEiLKykpISMjg4yMDP785z8TGxvLiRMnyMjIqDWVDSA0NPRz/5ygoCDffk3iZ5pmvfU1x9RXdvU5zSklJYUNGzbgcDhITEzE6XTWqr/WtQgODm60vri4mFGjRvHcc8/VqatJNEVE5PpoREpERPzSp08fduzYgWVZvrLs7GzCw8Pp2rUrPXv2JCgoiF27dvnqi4qKai37feDAAQoLC5k/fz7f+MY36N27d6OjPo1xOp3XXAyiOfXp04fs7OxaZdnZ2fTt29fvtpxOJ8nJySQlJdVJoq5H//79MU2Tbdu21Vv/la98hY8//pikpCSSk5NrbV8kYRURaY+USImISL2KiorIycmptZ08eZLp06dz8uRJHnnkEQ4cOMBbb73F008/zYwZM7DZbISHhzNx4kRmzZpFZmYmH3/8MVOnTsVms/lGhbp3747T6eT555/n6NGjbNiw4XM/CykpKYkPP/yQgwcPUlBQQFVVVVNehmuaNWsWq1evZsWKFXzyyScsXLiQdevWMXPmzBaNA7zXYuLEiUyZMoX169dz7NgxsrKyeP311wH40Y9+xPnz5xk/fjy7du3iyJEjvP3220yePDmgyaiIyI1IiZSIiNQrKyuLgQMH1trmzZtHly5d2LRpE++//z6pqak8/PDDTJ06lV/84he+cxcuXMiQIUP49re/TXp6OkOHDqVPnz6+JbtjY2NZvXo1f/3rX+nbty/z589nwYIFnyvOadOmkZKSwuDBg4mNja0zOtTc7rnnHpYsWcKCBQvo168fK1eu5KWXXuL2229v0ThqrFixgjFjxjB9+nR69+7NtGnTKCkpASAxMZHs7Gw8Hg/Dhw+nf//+PPbYY0RFRWGz6SOBiIg/DOvquRkiIiLNoKSkhC5duvC73/2OqVOnBjocERGRL0yLTYiISJP74IMPOHDgAGlpaRQVFfHMM88A8J3vfCfAkYmIiDQNJVIiItIsFixYwMGDB3E6nQwaNIjt27cTExMT6LBERESahKb2iYiIiIiI+El3loqIiIiIiPhJiZSIiIiIiIiflEiJiIiIiIj4SYmUiIiIiIiIn5RIiYiIiIiI+EmJlIiIiIiIiJ+USImIiIiIiPhJiZSIiIiIiIif/h+xc6tuhQEamwAAAABJRU5ErkJggg==",
|
||
"text/plain": [
|
||
"<Figure size 1000x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1000x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Статистические показатели для обучающей выборки:\n",
|
||
"Среднее значение: 13.05\n",
|
||
"Стандартное отклонение: 0.52\n",
|
||
"Минимальное значение: 11.23\n",
|
||
"Максимальное значение: 15.86\n",
|
||
"Количество наблюдений: 15129\n",
|
||
"\n",
|
||
"Статистические показатели для валидационной выборки:\n",
|
||
"Среднее значение: 13.05\n",
|
||
"Стандартное отклонение: 0.53\n",
|
||
"Минимальное значение: 11.26\n",
|
||
"Максимальное значение: 15.49\n",
|
||
"Количество наблюдений: 3242\n",
|
||
"\n",
|
||
"Статистические показатели для тестовой выборки:\n",
|
||
"Среднее значение: 13.06\n",
|
||
"Стандартное отклонение: 0.54\n",
|
||
"Минимальное значение: 11.35\n",
|
||
"Максимальное значение: 15.53\n",
|
||
"Количество наблюдений: 3242\n",
|
||
"\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import seaborn as sns\n",
|
||
"\n",
|
||
"df['price_log'] = np.log(df['price'])\n",
|
||
"\n",
|
||
"X = df.drop(['price', 'price_log'], axis=1)\n",
|
||
"y = df['price_log']\n",
|
||
"\n",
|
||
"X = X.select_dtypes(include='number')\n",
|
||
"\n",
|
||
"X_train, X_temp, y_train, y_temp = train_test_split(X, y, test_size=0.3, random_state=42)\n",
|
||
"\n",
|
||
"X_val, X_test, y_val, y_test = train_test_split(X_temp, y_temp, test_size=0.5, random_state=42)\n",
|
||
"def plot_distribution(data, title):\n",
|
||
" \"\"\"Построение гистограммы распределения целевого признака\"\"\"\n",
|
||
" plt.figure(figsize=(10, 6))\n",
|
||
" sns.histplot(data, kde=True, bins=30, color='skyblue')\n",
|
||
" plt.title(title)\n",
|
||
" plt.xlabel('Logarithm of Price')\n",
|
||
" plt.ylabel('Count')\n",
|
||
" plt.grid(True)\n",
|
||
" plt.show()\n",
|
||
"\n",
|
||
"plot_distribution(y_train, 'Распределение логарифма цены в обучающей выборке')\n",
|
||
"plot_distribution(y_val, 'Распределение логарифма цены в валидационной выборке')\n",
|
||
"plot_distribution(y_test, 'Распределение логарифма цены в тестовой выборке')\n",
|
||
"\n",
|
||
"def get_statistics(df, name):\n",
|
||
" print(f\"Статистические показатели для {name} выборки:\")\n",
|
||
" print(f\"Среднее значение: {df.mean():.2f}\")\n",
|
||
" print(f\"Стандартное отклонение: {df.std():.2f}\")\n",
|
||
" print(f\"Минимальное значение: {df.min():.2f}\")\n",
|
||
" print(f\"Максимальное значение: {df.max():.2f}\")\n",
|
||
" print(f\"Количество наблюдений: {df.count()}\\n\")\n",
|
||
"\n",
|
||
"get_statistics(y_train, \"обучающей\")\n",
|
||
"\n",
|
||
"get_statistics(y_val, \"валидационной\")\n",
|
||
"\n",
|
||
"get_statistics(y_test, \"тестовой\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"<h3>Oversampling и undersampling</h3>"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 269,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Распределение классов после SMOTE (oversampling):\n",
|
||
"price_category\n",
|
||
"0 3054\n",
|
||
"1 3054\n",
|
||
"2 3054\n",
|
||
"3 3054\n",
|
||
"4 3054\n",
|
||
"Name: count, dtype: int64\n",
|
||
"Распределение классов после RandomUnderSampler (undersampling):\n",
|
||
"price_category\n",
|
||
"0 2993\n",
|
||
"1 2993\n",
|
||
"2 2993\n",
|
||
"3 2993\n",
|
||
"4 2993\n",
|
||
"Name: count, dtype: int64\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"from imblearn.over_sampling import SMOTE\n",
|
||
"from imblearn.under_sampling import RandomUnderSampler\n",
|
||
"\n",
|
||
"\n",
|
||
"if 'date' in df.columns:\n",
|
||
" df['year'] = pd.to_datetime(df['date'], errors='coerce').dt.year\n",
|
||
" df = df.drop(['date'], axis=1)\n",
|
||
"\n",
|
||
"df['price_log'] = np.log(df['price'])\n",
|
||
"\n",
|
||
"df['price_category'] = pd.qcut(df['price_log'], q=5, labels=[0, 1, 2, 3, 4])\n",
|
||
"\n",
|
||
"X = df.drop(['price', 'price_log', 'price_category'], axis=1)\n",
|
||
"y = df['price_category']\n",
|
||
"\n",
|
||
"X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)\n",
|
||
"\n",
|
||
"smote = SMOTE(random_state=42)\n",
|
||
"X_train_smote, y_train_smote = smote.fit_resample(X_train, y_train)\n",
|
||
"\n",
|
||
"print(\"Распределение классов после SMOTE (oversampling):\")\n",
|
||
"print(pd.Series(y_train_smote).value_counts())\n",
|
||
"\n",
|
||
"undersampler = RandomUnderSampler(random_state=42)\n",
|
||
"X_train_under, y_train_under = undersampler.fit_resample(X_train, y_train)\n",
|
||
"\n",
|
||
"print(\"Распределение классов после RandomUnderSampler (undersampling):\")\n",
|
||
"print(pd.Series(y_train_under).value_counts())\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"<h3>Оценка сбалансированности выборок</h3>"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Оценка необходимости аугментации данных\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 1,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"ename": "NameError",
|
||
"evalue": "name 'y_train' is not defined",
|
||
"output_type": "error",
|
||
"traceback": [
|
||
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
|
||
"\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)",
|
||
"Cell \u001b[1;32mIn[1], line 18\u001b[0m\n\u001b[0;32m 15\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 16\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mВыборка \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mname\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m сбалансирована, аугментация не требуется.\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m---> 18\u001b[0m check_augmentation_need(\u001b[43my_train\u001b[49m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mобучающей\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 19\u001b[0m check_augmentation_need(y_val, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mвалидационной\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 20\u001b[0m check_augmentation_need(y_test, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mтестовой\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
|
||
"\u001b[1;31mNameError\u001b[0m: name 'y_train' is not defined"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"def check_augmentation_need(data, name):\n",
|
||
" \"\"\"Проверка необходимости аугментации данных\"\"\"\n",
|
||
" quantiles = data.quantile([0.25, 0.5, 0.75])\n",
|
||
" mean = data.mean()\n",
|
||
" std = data.std()\n",
|
||
" \n",
|
||
" print(f\"Проверка необходимости аугментации для {name} выборки:\")\n",
|
||
" print(f\"Среднее значение: {mean:.2f}, Стандартное отклонение: {std:.2f}\")\n",
|
||
" print(f\"25-й квантиль: {quantiles[0.25]:.2f}\")\n",
|
||
" print(f\"50-й квантиль (медиана): {quantiles[0.5]:.2f}\")\n",
|
||
" print(f\"75-й квантиль: {quantiles[0.75]:.2f}\")\n",
|
||
" \n",
|
||
" if std > mean * 0.5:\n",
|
||
" print(f\"Выборка {name} несбалансирована, рекомендуется аугментация.\\n\")\n",
|
||
" else:\n",
|
||
" print(f\"Выборка {name} сбалансирована, аугментация не требуется.\\n\")\n",
|
||
"\n",
|
||
"check_augmentation_need(y_train, \"обучающей\")\n",
|
||
"check_augmentation_need(y_val, \"валидационной\")\n",
|
||
"check_augmentation_need(y_test, \"тестовой\")\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Поскольку все выборки демонстрируют одинаковое распределение целевого признака и сбалансированное распределение значений, применение методов аугментации не требуется."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 192,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Распределение 'condition' в обучающей выборке:\n",
|
||
" condition\n",
|
||
"3 9837\n",
|
||
"4 3958\n",
|
||
"5 1189\n",
|
||
"2 121\n",
|
||
"1 24\n",
|
||
"Name: count, dtype: int64\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"C:\\Users\\salih\\AppData\\Local\\Temp\\ipykernel_8140\\3337968062.py:11: FutureWarning: \n",
|
||
"\n",
|
||
"Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
|
||
"\n",
|
||
" sns.barplot(x=condition_counts.index, y=condition_counts.values, palette='viridis')\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
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Xrly5ctPxkd9//72sVqvatWtnX+epU6cUEBCg8uXL6+eff3Zob/sI79ovMZktWLBARYsWVdOmTR3WGR4eLh8fH6d1pqenO7Q7deqUrly5csO6jx07pilTpuidd96Rj4+P0/YrV66sSpUqOazTNsTGvP1bFRQUpKeeeso+7evrq86dO2vnzp1KSEjI9DVTp07V6dOnr3sHzXZM/vzzT73//vtyc3NT3bp1HdpkZGQ4HTfzkAJJ9k8ipH8+aj516pTq1aunS5cu6bfffnNqv2XLFrVr105t27bN9E7ztetLSUnRqVOnVKdOHRmGoZ07d2a6P9ezc+dOHTp0SH369HH6xMJ2PZ04cULx8fHq0qWLSpQoYV9eo0YNNW3a1H6NXOvll192mK5Xr55Onz6t5ORkSbK/5rXXXnNo16dPn2zVfzPbtm1TUlKSXn31VYdrMTIyUpUqVdKPP/6Ypdr/+uuvHNdw/vx5nTp1SkeOHNG4ceNktVrt18L1/PTTTwoICHD4voa7u7tee+01Xbx4UWvXrnVoP3DgQIfpvn37qkCBAvb9c3NzU6dOnbRkyRJduHDB3m7evHmqU6eO/Qtrfn5+kpTpsBeza8/Ds2fP6vz586pXr57D+7VNamqqTp06pcWLF9vru1b//v0lKdP+yIkFCxaoXr16Kl68uMP12aRJE2VkZGjdunWZvm779u1asGCBxowZk62nW1y8eFGnTp3SsWPHNGPGDCUkJKhx48ZO7WznwrV9cCMFChS46bGyXUv9+vW7YTub7LxfXrlyRU888YROnjypZcuW2T/5tcnpcc4vGG6BLJs6daoqVKigggULyt/fXxUrVnR4E7JarZo8ebI+/vhjHTp0yGEM4LUX5p9//qmKFSvaP+7JLeXLl3eYtlgsKleunH1M1oEDByT9M7bves6fP6/ixYvbp0+dOuW0XrMDBw7IMIzrtjMPizh37pwkOQVT8zrPnz9v/w/PLCkpyWF6xYoVuueee25Yp9mwYcMUFBSkl156yWkc4oEDB7R///7rrtO8/VtVrlw5p1+QKlSoIOmfMYMBAQEOy86fP6/33ntP/fr1u+7H9KtWrVLLli0l/fOfyLfffqtHHnnEoc1vv/2WpeO2d+9eDRkyRKtXr7aHxGtrudaxY8cUGRmplJQUnT59OtNf/I4cOaKhQ4dqyZIlTmPMzeu7Gduwp8zGV9v897//lST7uNVrVa5cWcuXL1dKSoq8vb3t8++77z6Hdrbr4uzZs/L19dV///tfubm5OX1BKrNt3Iob1V6pUiVt2LDBYZ6Xl5dTnxYvXtzpOGdHmzZt7P92c3PTkCFDbvqc2//+978qX768U1CrXLmyfbn0z/uUm5ub0/tH0aJFFRgY6DCmtHPnzho7dqwWLlyozp076/fff9f27dsdPra///77FRAQoAkTJqhmzZr2YW6ZfZdg6dKlGjVqlOLj4x2WZ3bOfvXVV/rqq68k/XM8ze9Ntv8PcuvRhAcOHNCuXbuy/R705ptvql69emrdurXTeOgb6d27t8ONm65duzqFW+mfm0U2xYoVU4cOHTR+/HiHa8fGYrEoKChIvr6+DvPNx8p2LZUrV86hXUBAgIoVK2Y/V2yy837ZtWtXbdq0SV5eXg7jkG1yepzzC0Iysuzhhx+2P90iM++9957eeecdvfjii3r33XdVokQJubm5qU+fPnniCwC2GsaPH6+wsLBM21wbXNPS0nTixIkbjom1rddiseg///lPpt/gN4dh22/65uBnXqefn5/mzZuX6XLzG1rt2rU1atQoh3kfffSR/a6P2f79+zV79mzNnTs307HNVqtV1atX16RJkzJ9fXBw8HVrvxPGjh0rNzc3DRw4UKdPn860zUMPPaTY2FidPXtWc+fO1Ysvvqjg4GCHczgkJMRp7OKCBQs0Y8YM+/S5c+fUoEED+fr6auTIkSpbtqy8vLy0Y8cOvfHGG07n9sGDB/Xggw/qgw8+0AsvvKA5c+Y4/GKWkZGhpk2b6syZM3rjjTdUqVIleXt769ixY+rSpUueuFYkXfdpFEYe/+MWWX2KRnbYAmd6erq2bt2qUaNGqWDBgjkaB2xmu5ublU/RqlSpovDwcM2dO1edO3fW3Llz5eHhoXbt2tnbeHh46NNPP1XHjh1Vs2ZNh9eXKVPG/u/169friSeeUP369fXxxx8rMDBQ7u7umjVrlsOXTG2aNWumgQMHasSIEdq7d29OdzfLrFarmjZtqkGDBmW63BYKr7VixQqtXLlScXFx2d7ewIED1axZM2VkZGjv3r0aOXKkDMPQrFmzHNrZbhalpqZqzZo1mjBhgqR/Hmlodu2d+qy4Hc/E3rFjhxYvXqxevXqpZ8+eWr16tcPynBzn/ISQjFzz7bffqlGjRvr8888d5p87d06lSpWyT5ctW1abN29Wenp6rnz5zMZ2p9jGMAwdPHhQNWrUsG9X+ueu4rV3A67n119/VXp6+g1/MbCt1zAMhYaGZukNZd++fbJYLDe841a2bFmtXLlSdevWzdIbbalSpZz26UZfrhs8eLDCwsL03HPPXXf7v/76qxo3bnxH/pjBwYMHZRiGw7b++OMPSXL6Qtnx48c1efJkjRkzRkWKFLluSC5ZsqT9mLRt21YVK1bU+PHj9fXXX9vbeHt7Ox23+Ph4h+k1a9bo9OnT+v7771W/fn37fNtTXcxsQ3z8/f21ePFi9e/fX61atbL/YrN792798ccfmjNnjjp37mx/XWxsbKbruxnbeb1nz57rnte2cPT77787Lfvtt99UqlSpTO+E3UiZMmVktVrtnwzZZLaNzGT1vLq2dvMQh99//90h+N0u4eHh9qcWtGzZUseOHdPYsWP1zjvvXPcj/TJlymjXrl2yWq0ObWzDc2x1h4aGymq16sCBA/a7zJKUnJysEydOOD25pnPnzurXr59OnDih+fPnKzIy0uHTL+mfJ0gcO3ZMu3btsj8hY/z48Q59891338nLy0vLly93GPplDoU2gYGBatKkiRYuXKgNGzbo5MmTDr+s//HHH7JarU7Xa06VLVtWFy9ezNJ7tfTP+/2bb76pp556yukTo6yoUqWKfVvNmzdXamqq3nrrLY0ePdp+N15yvFkUGRmpX3/9VcuWLct0naGhoVqxYoUuXLjgMBTQfKxs15L5HEhMTNS5c+eczvHsvF9+9tlneuKJJ1SgQAG1bt1an3/+ucMXTrN7nPMbxiQj1xQoUMDpLtOCBQucHtPUtm1bnTp1Sh999JHTOm7lLtUXX3zhME7s22+/1YkTJ+wfuYeHh6ts2bKaMGGCLl686PT6kydPOtVue2O5kaeffloFChTQiBEjnOo3DMMhxF29elXfffedHn744RsOt2jXrp0yMjIy/Wb11atX7UM2ciIuLk6LFy/W+++/f92g0q5dOx07dizTb4hfvnxZKSkpOd5+Zo4fP+7wDe7k5GR98cUXCgsLc7rjPmLECPn7+zuNO72RK1euKCUlJUuPrzOz3Zm8tm/T0tIyvXMk/XPnxTYEZMqUKbJarfYnGVxvfYZhOD2uLasefPBBhYaGKiYmxum8sG0jMDBQYWFhmjNnjkObPXv2aMWKFU5PkMkK23X14YcfOszP6rfhvb29s3Qe16pVS35+fpo+fbpD//3nP//R/v37s/Q0jdx2+fJlXb16NdOPr21atWqlhIQEh1/Krl69qilTpsjHx0cNGjSwt5Ocj9vkyZPtTwK6VocOHWSxWPT666/rr7/+0vPPP5/p9osUKaK6deuqSZMmatKkidMf1ihQoIAsFovDsLjDhw/f9Mk1LVq0yLRe26dOudUf7dq1U1xcnJYvX+607Ny5c07H/quvvtKuXbsyfVpPTth+ubj2MXCZsVqt1/30olWrVsrIyHD6v858rK53DlzvmGbn/dL2BKXIyEi1b99eAwcOdPhLudk9zvkNd5KRa1q3bq2RI0eqa9euqlOnjnbv3q158+bp/vvvd2jXuXNnffHFF+rXr5+2bNmievXqKSUlRStXrtSrr76qJ598MkfbL1GihB599FF17dpViYmJiomJUbly5dSjRw9J/4wl/Oyzz9SyZUtVrVpVXbt21b333qtjx47p559/lq+vr3744QelpKRo6tSp+vDDD1WhQgWHZ3fawvWuXbsUFxeniIgIlS1bVqNGjbI/1qdNmzYqUqSIDh06pIULF6pnz54aMGCAVq5cqXfeeUe7du3SDz/8cMN9adCggV566SWNGTNG8fHxatasmdzd3XXgwAEtWLBAkydP1jPPPJOj47RixQo1bdr0hncOXnjhBX3zzTd6+eWX9fPPP6tu3brKyMjQb7/9pm+++UbLly+/6R327KhQoYK6deumrVu3yt/fXzNnzlRiYmKmd7VWrFihefPmXffh/OfPn1fLli3VsmVLBQUF6cyZM/ryyy914sSJ6waKG6lTp46KFy+uqKgovfbaa7JYLPryyy+z9AtdQECAxo8fr+7du+v5559Xq1atVKlSJZUtW1YDBgzQsWPH5Ovrq++++y7HY2bd3Nw0bdo0Pf744woLC1PXrl0VGBio3377TXv37rX/5zd+/Hi1bNlSERER6tatm/0RcEWLFs30ud83ExYWpg4dOujjjz/W+fPnVadOHa1atUoHDx7M0uvDw8M1bdo0jRo1SuXKlZOfn1+mX4Zzd3fX2LFj1bVrVzVo0EAdOnSwPwIuJCQk03GjuS02NlZ///23fbjFvHnz9MQTT9zwD0T07NlTn3zyibp06aLt27crJCRE3377rTZu3KiYmBj7ncWqVauqW7dumjFjhs6ePauGDRtqx44dmjlzplq2bOn0C8w999yjFi1aaMGCBSpWrFiOQ2lkZKQmTZqkFi1aqGPHjkpKStLUqVNVrlw57dq167qva926tR577DG99957OnbsmB5++GGtWbNGCxYs0EsvveQ0Nv7IkSMOd1pPnjypy5cvO8yzfXqzZcsWlS9fXvfee68GDhyoJUuWqHXr1urSpYvCw8OVkpKi3bt369tvv9Xhw4cdPqFcsWKFevTokeMx8XFxcSpYsKB9uMWUKVP0wAMPON2ZjYuL06lTp+zDLVatWqUBAwZkus5WrVqpSZMmevvtt3Xo0CGFhYVp9erV+u677/Tyyy/bj1XNmjUVFRWlGTNm2Id3bdmyRXPmzFGbNm3UqFEjh/Vm5/3yWpMnT1blypXVu3dvffPNN5KU7eOc79zpx2ng7pOVR98Yxj+PRurfv78RGBhoFCpUyKhbt64RFxfn9Fgcw/jn0UNvv/22ERoaari7uxsBAQHGM888Y/z555+GYeTsEXD/93//ZwwePNjw8/MzChUqZERGRmb6OK2dO3caTz/9tFGyZEnD09PTKFOmjNGuXTtj1apVDtu+2Y/50ULfffed8eijjxre3t6Gt7e3UalSJSM6Otr4/fffDcMwjN69exv169c3li1b5lST+RFwNjNmzDDCw8ONQoUKGUWKFDGqV69uDBo0yDh+/Li9TXYfAWexWIzt27c7zM+sj9LS0oyxY8caVatWNTw9PY3ixYsb4eHhxogRI4zz5887bc+8vuw8Ai4yMtJYvny5UaNGDcPT09OoVKmSsWDBAofX2s7DsLAwh0ebmR/hdPnyZeO5554zSpcubXh4eBh+fn5Go0aN7I/SykmNGzduNB555BGjUKFCRlBQkDFo0CBj+fLlTo+tyuw4GoZhPPbYY8Z9991nXLhwwTAMw9i3b5/RpEkTw8fHxyhVqpTRo0cP49dff73po+xuZMOGDUbTpk2NIkWKGN7e3kaNGjWMKVOmOLRZuXKlUbduXaNQoUKGr6+v8fjjjxv79u1zaGM7F0+ePOkwP7PHuF2+fNl47bXXjJIlSxre3t7G448/bhw9ejRLj4BLSEgwIiMjjSJFihiS7Mcts8euGYZhfP3118YDDzxgeHp6GiVKlDA6depkf/ykTVRUlOHt7e10bK53fd2MrRbbT8GCBY0yZcoYr732mtPj9jKTmJhodO3a1ShVqpTh4eFhVK9ePdP+TU9PN0aOHGl/PwwODjYGDRqU6aMCDeP/P96yZ8+eWd6XzB4B9/nnnxvly5e3X3OzZs3K9Fhd+wg4wzCMCxcuGK+//roRFBRkuLu7G2XLljXee+894+rVqw6vy8r7qPnn2uNz4cIFY/DgwUa5cuUMDw8Po1SpUkadOnWMCRMmGGlpaYZh/P/rv1ChQsaxY8duWHdmzO/3bm5uRunSpY2oqCiH88t2Dtt+PDw8jHLlyhlDhw41UlNTDcPI/Pq/ePGi0bdvX/uxKleunPH+++87PS41PT3dGDFihMM5MHjwYIdHTNr2KTvvl9dec4ZhGHPmzDEkGUuWLMnWcc6vLIaRx7+FAdzEmjVr1KhRIy1YsCDHd1evdfjwYYWGhurQoUPXHV83fPhwHT582OGvvCFnQkJCVK1aNS1dutTVpQB3hcWLF6tNmzZat26d/eP0f4OGDRuqS5cuN/0refkZ75d3FmOSAQC4i3z66ae6//779eijj7q6FOBfjTHJgImPj486dep0wy/W1ahRw+EbzwBwu9m+nPbjjz9q8uTJd+TJM3fSww8/bP/jVEBeQEgGTEqVKqW5c+fesM3TTz99h6oBgH906NBBPj4+6tatm1599VVXl5Prxo0b5+oSAAeMSQYAAABMGJMMAAAAmBCSAQAAABPGJOcSq9Wq48ePq0iRIv+6L1MAAAD8GxiGoQsXLigoKOi6f1behpCcS44fP67g4GBXlwEAAICbOHr0qEqXLn3DNoTkXGL7E6NHjx6Vr6+vi6u5c9LT07VixQr7n03Gvxv9nb/Q3/kL/Z2/5Nf+Tk5OVnBwsD233QghOZfYhlj4+vrmu5BcuHBh+fr65quLLL+iv/MX+jt/ob/zl/ze31kZGssX9wAAAAATQjIAAABgQkgGAAAATAjJAAAAgAkhGQAAADAhJAMAAAAmhGQAAADAhJAMAAAAmLg0JK9bt06PP/64goKCZLFYtGjRIoflhmFo6NChCgwMVKFChdSkSRMdOHDAoc2ZM2fUqVMn+fr6qlixYurWrZsuXrzo0GbXrl2qV6+evLy8FBwcrHHjxjnVsmDBAlWqVEleXl6qXr26fvrpp1zfXwAAANwdXBqSU1JSVLNmTU2dOjXT5ePGjdOHH36o6dOna/PmzfL29lbz5s115coVe5tOnTpp7969io2N1dKlS7Vu3Tr17NnTvjw5OVnNmjVTmTJltH37do0fP17Dhw/XjBkz7G1++eUXdejQQd26ddPOnTvVpk0btWnTRnv27Ll9Ow8AAIA8y6V/lrply5Zq2bJlpssMw1BMTIyGDBmiJ598UpL0xRdfyN/fX4sWLVL79u21f/9+LVu2TFu3blWtWrUkSVOmTFGrVq00YcIEBQUFad68eUpLS9PMmTPl4eGhqlWrKj4+XpMmTbKH6cmTJ6tFixYaOHCgJOndd99VbGysPvroI02fPj3T+lJTU5WammqfTk5OlvTPn3lMT0/PnQN0F7Dta37a5/yM/s5f6O/8hf7OX/Jrf2dnf10akm/k0KFDSkhIUJMmTezzihYtqtq1aysuLk7t27dXXFycihUrZg/IktSkSRO5ublp8+bNeuqppxQXF6f69evLw8PD3qZ58+YaO3aszp49q+LFiysuLk79+vVz2H7z5s2dhn9ca8yYMRoxYoTT/BUrVqhw4cK3sOd3p9jYWFeXgDuI/s5f6O/8hf7OX/Jbf1+6dCnLbfNsSE5ISJAk+fv7O8z39/e3L0tISJCfn5/D8oIFC6pEiRIObUJDQ53WYVtWvHhxJSQk3HA7mRk8eLBDsE5OTlZwcLCaNWsmX1/f7OzqXS09PV2xsbFq2rSp3N3dXV0ObjP6O3+hv/MX+jt/ya/9bfvkPyvybEjO6zw9PeXp6ek0393dPV+dbDb5db/zK/o7f6G/8xf6O3/Jb/2dnX3Ns4+ACwgIkCQlJiY6zE9MTLQvCwgIUFJSksPyq1ev6syZMw5tMlvHtdu4XhvbcgAAAOQveTYkh4aGKiAgQKtWrbLPS05O1ubNmxURESFJioiI0Llz57R9+3Z7m9WrV8tqtap27dr2NuvWrXMYqB0bG6uKFSuqePHi9jbXbsfWxrYdAAAA5C8uDckXL15UfHy84uPjJf3zZb34+HgdOXJEFotFffr00ahRo7RkyRLt3r1bnTt3VlBQkNq0aSNJqly5slq0aKEePXpoy5Yt2rhxo3r16qX27dsrKChIktSxY0d5eHioW7du2rt3r77++mtNnjzZYTzx66+/rmXLlmnixIn67bffNHz4cG3btk29evW604cEAAAAeYBLxyRv27ZNjRo1sk/bgmtUVJRmz56tQYMGKSUlRT179tS5c+f06KOPatmyZfLy8rK/Zt68eerVq5caN24sNzc3tW3bVh9++KF9edGiRbVixQpFR0crPDxcpUqV0tChQx2epVynTh3Nnz9fQ4YM0VtvvaXy5ctr0aJFqlat2h04CgAAAMhrXBqSGzZsKMMwrrvcYrFo5MiRGjly5HXblChRQvPnz7/hdmrUqKH169ffsM2zzz6rZ5999sYFAwAAIF/g6RYAcJuEjRru6hJuiaebm96qWlOPjh+jVKvV1eXckvghw11dAoC7TJ794h4AAADgKoRkAAAAwISQDAAAAJgQkgEAAAATQjIAAABgQkgGAAAATAjJAAAAgAkhGQAAADAhJAMAAAAmhGQAAADAhJAMAAAAmBCSAQAAABNCMgAAAGBCSAYAAABMCMkAAACACSEZAAAAMCEkAwAAACaEZAAAAMCEkAwAAACYEJIBAAAAE0IyAAAAYEJIBgAAAEwIyQAAAIAJIRkAAAAwISQDAAAAJoRkAAAAwISQDAAAAJgQkgEAAAATQjIAAABgQkgGAAAATAjJAAAAgAkhGQAAADAhJAMAAAAmhGQAAADAhJAMAAAAmBCSAQAAABNCMgAAAGBCSAYAAABMCMkAAACACSEZAAAAMCEkAwAAACaEZAAAAMCEkAwAAACYEJIBAAAAE0IyAAAAYEJIBgAAAEwIyQAAAIAJIRkAAAAwISQDAAAAJoRkAAAAwISQDAAAAJgQkgEAAAATQjIAAABgQkgGAAAATAjJAAAAgAkhGQAAADAhJAMAAAAmhGQAAADAhJAMAAAAmBCSAQAAABNCMgAAAGBCSAYAAABMCMkAAACACSEZAAAAMCEkAwAAACaEZAAAAMCEkAwAAACYEJIBAAAAE0IyAAAAYEJIBgAAAEwIyQAAAIAJIRkAAAAwISQDAAAAJoRkAAAAwISQDAAAAJgQkgEAAAATQjIAAABgkqdDckZGht555x2FhoaqUKFCKlu2rN59910ZhmFvYxiGhg4dqsDAQBUqVEhNmjTRgQMHHNZz5swZderUSb6+vipWrJi6deumixcvOrTZtWuX6tWrJy8vLwUHB2vcuHF3ZB8BAACQ9+TpkDx27FhNmzZNH330kfbv36+xY8dq3LhxmjJlir3NuHHj9OGHH2r69OnavHmzvL291bx5c125csXeplOnTtq7d69iY2O1dOlSrVu3Tj179rQvT05OVrNmzVSmTBlt375d48eP1/DhwzVjxow7ur8AAADIGwq6uoAb+eWXX/Tkk08qMjJSkhQSEqL/+7//05YtWyT9cxc5JiZGQ4YM0ZNPPilJ+uKLL+Tv769Fixapffv22r9/v5YtW6atW7eqVq1akqQpU6aoVatWmjBhgoKCgjRv3jylpaVp5syZ8vDwUNWqVRUfH69JkyY5hGkAAADkD3k6JNepU0czZszQH3/8oQoVKujXX3/Vhg0bNGnSJEnSoUOHlJCQoCZNmthfU7RoUdWuXVtxcXFq37694uLiVKxYMXtAlqQmTZrIzc1Nmzdv1lNPPaW4uDjVr19fHh4e9jbNmzfX2LFjdfbsWRUvXtypttTUVKWmptqnk5OTJUnp6elKT0/P9WORV9n2NT/tc35Gf2ePp1ue/rDupjz+V7/HXb4fEudsVnB95y/5tb+zs795OiS/+eabSk5OVqVKlVSgQAFlZGRo9OjR6tSpkyQpISFBkuTv7+/wOn9/f/uyhIQE+fn5OSwvWLCgSpQo4dAmNDTUaR22ZZmF5DFjxmjEiBFO81esWKHChQvnZHfvarGxsa4uAXcQ/Z01b1Wt6eoScsWAytVdXcIt++mnn1xdwl2D6zt/yW/9fenSpSy3zdMh+ZtvvtG8efM0f/58+xCIPn36KCgoSFFRUS6tbfDgwerXr599Ojk5WcHBwWrWrJl8fX1dWNmdlZ6ertjYWDVt2lTu7u6uLge3Gf2dPY+OH+PqEm6Jh5ubBlSurgn7dyvNanV1Obdkw8DBri4hz+P6zl/ya3/bPvnPijwdkgcOHKg333xT7du3lyRVr15d//3vfzVmzBhFRUUpICBAkpSYmKjAwED76xITExUWFiZJCggIUFJSksN6r169qjNnzthfHxAQoMTERIc2tmlbGzNPT095eno6zXd3d89XJ5tNft3v/Ir+zprUuzxY2qRZrXf9vnC+Zh3Xd/6S3/o7O/uapweaXbp0SW6msXAFChSQ9X9v1qGhoQoICNCqVavsy5OTk7V582ZFRERIkiIiInTu3Dlt377d3mb16tWyWq2qXbu2vc26descxqnExsaqYsWKmQ61AAAAwL9bng7Jjz/+uEaPHq0ff/xRhw8f1sKFCzVp0iQ99dRTkiSLxaI+ffpo1KhRWrJkiXbv3q3OnTsrKChIbdq0kSRVrlxZLVq0UI8ePbRlyxZt3LhRvXr1Uvv27RUUFCRJ6tixozw8PNStWzft3btXX3/9tSZPnuwwnAIAAAD5R54ebjFlyhS98847evXVV5WUlKSgoCC99NJLGjp0qL3NoEGDlJKSop49e+rcuXN69NFHtWzZMnl5ednbzJs3T7169VLjxo3l5uamtm3b6sMPP7QvL1q0qFasWKHo6GiFh4erVKlSGjp0KI9/AwAAyKfydEguUqSIYmJiFBMTc902FotFI0eO1MiRI6/bpkSJEpo/f/4Nt1WjRg2tX78+p6UCAADgXyRPD7cAAAAAXIGQDAAAAJgQkgEAAAATQjIAAABgQkgGAAAATAjJAAAAgAkhGQAAADAhJAMAAAAmhGQAAADAhJAMAAAAmBCSAQAAABNCMgAAAGBCSAYAAABMCMkAAACACSEZAAAAMCEkAwAAACaEZAAAAMCEkAwAAACYEJIBAAAAE0IyAAAAYEJIBgAAAEwIyQAAAIAJIRkAAAAwISQDAAAAJoRkAAAAwISQDAAAAJgQkgEAAAATQjIAAABgQkgGAAAATAjJAAAAgAkhGQAAADAhJAMAAAAmhGQAAADAhJAMAAAAmBCSAQAAABNCMgAAAGBCSAYAAABMCMkAAACACSEZAAAAMCEkAwAAACaEZAAAAMCEkAwAAACYEJIBAAAAE0IyAAAAYEJIBgAAAEwIyQAAAIAJIRkAAAAwISQDAAAAJoRkAAAAwISQDAAAAJgQkgEAAAATQjIAAABgQkgGAAAATAjJAAAAgAkhGQAAADAhJAMAAAAmhGQAAADAhJAMAAAAmBCSAQAAABNCMgAAAGBCSAYAAABMCMkAAACACSEZAAAAMCEkAwAAACaEZAAAAMCEkAwAAACYEJIBAAAAE0IyAAAAYEJIBgAAAEwIyQAAAIAJIRkAAAAwISQDAAAAJoRkAAAAwISQDAAAAJgQkgEAAAATQjIAAABgQkgGAAAATAjJAAAAgAkhGQAAADDJ8yH52LFjev7551WyZEkVKlRI1atX17Zt2+zLDcPQ0KFDFRgYqEKFCqlJkyY6cOCAwzrOnDmjTp06ydfXV8WKFVO3bt108eJFhza7du1SvXr15OXlpeDgYI0bN+6O7B8AAADynjwdks+ePau6devK3d1d//nPf7Rv3z5NnDhRxYsXt7cZN26cPvzwQ02fPl2bN2+Wt7e3mjdvritXrtjbdOrUSXv37lVsbKyWLl2qdevWqWfPnvblycnJatasmcqUKaPt27dr/PjxGj58uGbMmHFH9xcAAAB5Q0FXF3AjY8eOVXBwsGbNmmWfFxoaav+3YRiKiYnRkCFD9OSTT0qSvvjiC/n7+2vRokVq37699u/fr2XLlmnr1q2qVauWJGnKlClq1aqVJkyYoKCgIM2bN09paWmaOXOmPDw8VLVqVcXHx2vSpEkOYfpaqampSk1NtU8nJydLktLT05Wenp7rxyKvsu1rftrn/Iz+zh5Ptzx9H+KmPP5Xv8ddvh8S52xWcH3nL/m1v7OzvxbDMIzbWMstqVKlipo3b66///5ba9eu1b333qtXX31VPXr0kCT99ddfKlu2rHbu3KmwsDD76xo0aKCwsDBNnjxZM2fOVP/+/XX27Fn78qtXr8rLy0sLFizQU089pc6dOys5OVmLFi2yt/n555/12GOP6cyZMw53rm2GDx+uESNGOM2fP3++ChcunHsHAQAAALni0qVL6tixo86fPy9fX98bts3Td5L/+usvTZs2Tf369dNbb72lrVu36rXXXpOHh4eioqKUkJAgSfL393d4nb+/v31ZQkKC/Pz8HJYXLFhQJUqUcGhz7R3qa9eZkJCQaUgePHiw+vXrZ59OTk5WcHCwmjVrdtOD/m+Snp6u2NhYNW3aVO7u7q4uB7cZ/Z09j44f4+oSbomHm5sGVK6uCft3K81qdXU5t2TDwMGuLiHP4/rOX/Jrf9s++c+KPB2SrVaratWqpffee0+S9MADD2jPnj2aPn26oqKiXFqbp6enPD09nea7u7vnq5PNJr/ud35Ff2dN6l0eLG3SrNa7fl84X7OO6zt/yW/9nZ19zdMDzQIDA1WlShWHeZUrV9aRI0ckSQEBAZKkxMREhzaJiYn2ZQEBAUpKSnJYfvXqVZ05c8ahTWbruHYbAAAAyD/ydEiuW7eufv/9d4d5f/zxh8qUKSPpny/xBQQEaNWqVfblycnJ2rx5syIiIiRJEREROnfunLZv325vs3r1almtVtWuXdveZt26dQ6DuWNjY1WxYsVMh1oAAADg3y1Ph+S+fftq06ZNeu+993Tw4EHNnz9fM2bMUHR0tCTJYrGoT58+GjVqlJYsWaLdu3erc+fOCgoKUps2bST9c+e5RYsW6tGjh7Zs2aKNGzeqV69eat++vYKCgiRJHTt2lIeHh7p166a9e/fq66+/1uTJkx3GHAMAACD/yNNjkh966CEtXLhQgwcP1siRIxUaGqqYmBh16tTJ3mbQoEFKSUlRz549de7cOT366KNatmyZvLy87G3mzZunXr16qXHjxnJzc1Pbtm314Ycf2pcXLVpUK1asUHR0tMLDw1WqVCkNHTr0uo9/AwAAwL9bng7JktS6dWu1bt36usstFotGjhypkSNHXrdNiRIlNH/+/Btup0aNGlq/fn2O6wQAAMC/R54ebgEAAAC4AiEZAAAAMCEkAwAAACaEZAAAAMCEkAwAAACYEJIBAAAAE0IyAAAAYEJIBgAAAEwIyQAAAIAJIRkAAAAwISQDAAAAJoRkAAAAwCRHIfn+++/X6dOnneafO3dO999//y0XBQAAALhSjkLy4cOHlZGR4TQ/NTVVx44du+WiAAAAAFcqmJ3GS5Yssf97+fLlKlq0qH06IyNDq1atUkhISK4VBwAAALhCtkJymzZtJEkWi0VRUVEOy9zd3RUSEqKJEyfmWnEAAACAK2QrJFutVklSaGiotm7dqlKlSt2WogAAAABXylZItjl06FBu1wEAAADkGTkKyZK0atUqrVq1SklJSfY7zDYzZ8685cIAAAAAV8lRSB4xYoRGjhypWrVqKTAwUBaLJbfrAgAAAFwmRyF5+vTpmj17tl544YXcrgcAAABwuRw9JzktLU116tTJ7VoAAACAPCFHIbl79+6aP39+btcCAAAA5Ak5Gm5x5coVzZgxQytXrlSNGjXk7u7usHzSpEm5UhwAAADgCjkKybt27VJYWJgkac+ePQ7L+BIfAAAA7nY5Csk///xzbtcBAAAA5Bk5GpMMAAAA/Jvl6E5yo0aNbjisYvXq1TkuCAAAAHC1HIVk23hkm/T0dMXHx2vPnj2KiorKjboAAAAAl8lRSP7ggw8ynT98+HBdvHjxlgoCAAAAXC1XxyQ///zzmjlzZm6uEgAAALjjcjUkx8XFycvLKzdXCQAAANxxORpu8fTTTztMG4ahEydOaNu2bXrnnXdypTAAAADAVXIUkosWLeow7ebmpooVK2rkyJFq1qxZrhQGAAAAuEqOQvKsWbNyuw4AAAAgz8hRSLbZvn279u/fL0mqWrWqHnjggVwpCgAAAHClHIXkpKQktW/fXmvWrFGxYsUkSefOnVOjRo301Vdf6Z577snNGgEAAIA7KkdPt+jdu7cuXLigvXv36syZMzpz5oz27Nmj5ORkvfbaa7ldIwAAAHBH5ehO8rJly7Ry5UpVrlzZPq9KlSqaOnUqX9wDAADAXS9Hd5KtVqvc3d2d5ru7u8tqtd5yUQAAAIAr5SgkP/bYY3r99dd1/Phx+7xjx46pb9++aty4ca4VBwAAALhCjkLyRx99pOTkZIWEhKhs2bIqW7asQkNDlZycrClTpuR2jQAAAMAdlaMxycHBwdqxY4dWrlyp3377TZJUuXJlNWnSJFeLAwAAAFwhW3eSV69erSpVqig5OVkWi0VNmzZV79691bt3bz300EOqWrWq1q9ff7tqBQAAAO6IbIXkmJgY9ejRQ76+vk7LihYtqpdeekmTJk3KteIAAAAAV8hWSP7111/VokWL6y5v1qyZtm/ffstFAQAAAK6UrZCcmJiY6aPfbAoWLKiTJ0/eclEAAACAK2UrJN97773as2fPdZfv2rVLgYGBt1wUAAAA4ErZCsmtWrXSO++8oytXrjgtu3z5soYNG6bWrVvnWnEAAACAK2TrEXBDhgzR999/rwoVKqhXr16qWLGiJOm3337T1KlTlZGRobfffvu2FAoAAADcKdkKyf7+/vrll1/0yiuvaPDgwTIMQ5JksVjUvHlzTZ06Vf7+/relUAAAAOBOyfYfEylTpox++uknnT17VgcPHpRhGCpfvryKFy9+O+oDAAAA7rgc/cU9SSpevLgeeuih3KwFAAAAyBOy9cU9AAAAID8gJAMAAAAmhGQAAADAhJAMAAAAmBCSAQAAABNCMgAAAGBCSAYAAABMCMkAAACACSEZAAAAMCEkAwAAACaEZAAAAMCEkAwAAACYEJIBAAAAE0IyAAAAYEJIBgAAAEwIyQAAAIAJIRkAAAAwISQDAAAAJoRkAAAAwISQDAAAAJgQkgEAAAATQjIAAABgQkgGAAAATAjJAAAAgAkhGQAAADC5q0Ly+++/L4vFoj59+tjnXblyRdHR0SpZsqR8fHzUtm1bJSYmOrzuyJEjioyMVOHCheXn56eBAwfq6tWrDm3WrFmjBx98UJ6enipXrpxmz559B/YIAAAAedFdE5K3bt2qTz75RDVq1HCY37dvX/3www9asGCB1q5dq+PHj+vpp5+2L8/IyFBkZKTS0tL0yy+/aM6cOZo9e7aGDh1qb3Po0CFFRkaqUaNGio+PV58+fdS9e3ctX778ju0fAAAA8o67IiRfvHhRnTp10qeffqrixYvb558/f16ff/65Jk2apMcee0zh4eGaNWuWfvnlF23atEmStGLFCu3bt09z585VWFiYWrZsqXfffVdTp05VWlqaJGn69OkKDQ3VxIkTVblyZfXq1UvPPPOMPvjgA5fsLwAAAFyroKsLyIro6GhFRkaqSZMmGjVqlH3+9u3blZ6eriZNmtjnVapUSffdd5/i4uL0yCOPKC4uTtWrV5e/v7+9TfPmzfXKK69o7969euCBBxQXF+ewDluba4d1mKWmpio1NdU+nZycLElKT09Xenr6re7yXcO2r/lpn/Mz+jt7PN3uivsQ1+Xxv/o97vL9kDhns4LrO3/Jr/2dnf3N8yH5q6++0o4dO7R161anZQkJCfLw8FCxYsUc5vv7+yshIcHe5tqAbFtuW3ajNsnJybp8+bIKFSrktO0xY8ZoxIgRTvNXrFihwoULZ30H/yViY2NdXQLuIPo7a96qWtPVJeSKAZWru7qEW/bTTz+5uoS7Btd3/pLf+vvSpUtZbpunQ/LRo0f1+uuvKzY2Vl5eXq4ux8HgwYPVr18/+3RycrKCg4PVrFkz+fr6urCyOys9PV2xsbFq2rSp3N3dXV0ObjP6O3seHT/G1SXcEg83Nw2oXF0T9u9WmtXq6nJuyYaBg11dQp7H9Z2/5Nf+tn3ynxV5OiRv375dSUlJevDBB+3zMjIytG7dOn300Udavny50tLSdO7cOYe7yYmJiQoICJAkBQQEaMuWLQ7rtT394to25idiJCYmytfXN9O7yJLk6ekpT09Pp/nu7u756mSzya/7nV/R31mTepcHS5s0q/Wu35c7cb42++ruDuLuKqCehR7Ss0veU7oyXF3OLVnR/u7+BfVOym/v59nZ1zw90Kxx48bavXu34uPj7T+1atVSp06d7P92d3fXqlWr7K/5/fffdeTIEUVEREiSIiIitHv3biUlJdnbxMbGytfXV1WqVLG3uXYdtja2dQAAACB/ydN3kosUKaJq1ao5zPP29lbJkiXt87t166Z+/fqpRIkS8vX1Ve/evRUREaFHHnlEktSsWTNVqVJFL7zwgsaNG6eEhAQNGTJE0dHR9jvBL7/8sj766CMNGjRIL774olavXq1vvvlGP/74453dYQAAAOQJeTokZ8UHH3wgNzc3tW3bVqmpqWrevLk+/vhj+/ICBQpo6dKleuWVVxQRESFvb29FRUVp5MiR9jahoaH68ccf1bdvX02ePFmlS5fWZ599pubNm7tilwAAAOBid11IXrNmjcO0l5eXpk6dqqlTp173NWXKlLnpN5sbNmyonTt35kaJAAAAuMvl6THJAAAAgCsQkgEAAAATQjIAAABgQkgGAAAATAjJAAAAgAkhGQAAADAhJAMAAAAmhGQAAADAhJAMAAAAmBCSAQAAABNCMgAAAGBCSAYAAABMCMkAAACACSEZAAAAMCEkAwAAACaEZAAAAMCEkAwAAACYEJIBAAAAE0IyAAAAYEJIBgAAAEwIyQAAAIAJIRkAAAAwISQDAAAAJoRkAAAAwISQDAAAAJgQkgEAAAATQjIAAABgQkgGAAAATAjJAAAAgAkhGQAAADAhJAMAAAAmhGQAAADAhJAMAAAAmBCSAQAAABNCMgAAAGBCSAYAAABMCMkAAACACSEZAAAAMCEkAwAAACaEZAAAAMCEkAwAAACYEJIBAAAAE0IyAAAAYEJIBgAAAEwIyQAAAIAJIRkAAAAwISQDAAAAJoRkAAAAwISQDAAAAJgQkgEAAAATQjIAAABgQkgGAAAATAjJAAAAgAkhGQAAADAhJAMAAAAmhGQAAADAhJAMAAAAmBCSAQAAABNCMgAAAGBCSAYAAABMCMkAAACACSEZAAAAMCEkAwAAACaEZAAAAMCEkAwAAACYEJIBAAAAE0IyAAAAYEJIBgAAAEwIyQAAAIAJIRkAAAAwISQDAAAAJoRkAAAAwISQDAAAAJgQkgEAAAATQjIAAABgQkgGAAAATAjJAAAAgAkhGQAAADAhJAMAAAAmeTokjxkzRg899JCKFCkiPz8/tWnTRr///rtDmytXrig6OlolS5aUj4+P2rZtq8TERIc2R44cUWRkpAoXLiw/Pz8NHDhQV69edWizZs0aPfjgg/L09FS5cuU0e/bs2717AAAAyKPydEheu3atoqOjtWnTJsXGxio9PV3NmjVTSkqKvU3fvn31ww8/aMGCBVq7dq2OHz+up59+2r48IyNDkZGRSktL0y+//KI5c+Zo9uzZGjp0qL3NoUOHFBkZqUaNGik+Pl59+vRR9+7dtXz58ju6vwAAAMgbCrq6gBtZtmyZw/Ts2bPl5+en7du3q379+jp//rw+//xzzZ8/X4899pgkadasWapcubI2bdqkRx55RCtWrNC+ffu0cuVK+fv7KywsTO+++67eeOMNDR8+XB4eHpo+fbpCQ0M1ceJESVLlypW1YcMGffDBB2revHmmtaWmpio1NdU+nZycLElKT09Xenr67TgceZJtX/PTPudn9Hf2eLrl6fsQN+Xxv/o97vL9kO7MOeuuArd9G7eT+//um7nn7ftnWcJ71M3l1/fz7OyvxTAM4zbWkqsOHjyo8uXLa/fu3apWrZpWr16txo0b6+zZsypWrJi9XZkyZdSnTx/17dtXQ4cO1ZIlSxQfH29ffujQId1///3asWOHHnjgAdWvX18PPvigYmJi7G1mzZqlPn366Pz585nWMnz4cI0YMcJp/vz581W4cOHc2mUAAADkkkuXLqljx446f/68fH19b9g2T99JvpbValWfPn1Ut25dVatWTZKUkJAgDw8Ph4AsSf7+/kpISLC38ff3d1puW3ajNsnJybp8+bIKFSrkVM/gwYPVr18/+3RycrKCg4PVrFmzmx70f5P09HTFxsaqadOmcnd3d3U5uM3o7+x5dPwYV5dwSzzc3DSgcnVN2L9baVarq8u5JRsGDr7t22jznfONk7uJu9zUtVC4Zl3ernTd3f29qO0wV5eQ5+XX93PbJ/9ZcdeE5OjoaO3Zs0cbNmxwdSmSJE9PT3l6ejrNd3d3z1cnm01+3e/8iv7OmtS7PFjapFmtd/2+3InzNV0Zt30bd0K6rHf9vvD+lHX57f08O/t6Vww86tWrl5YuXaqff/5ZpUuXts8PCAhQWlqazp0759A+MTFRAQEB9jbmp13Ypm/WxtfXN9O7yAAAAPh3y9Mh2TAM9erVSwsXLtTq1asVGhrqsDw8PFzu7u5atWqVfd7vv/+uI0eOKCIiQpIUERGh3bt3Kykpyd4mNjZWvr6+qlKlir3NteuwtbGtAwAAAPlLnh5uER0drfnz52vx4sUqUqSIfQxx0aJFVahQIRUtWlTdunVTv379VKJECfn6+qp3796KiIjQI488Iklq1qyZqlSpohdeeEHjxo1TQkKChgwZoujoaPtwiZdfflkfffSRBg0apBdffFGrV6/WN998ox9//NFl+w4AAADXydN3kqdNm6bz58+rYcOGCgwMtP98/fXX9jYffPCBWrdurbZt26p+/foKCAjQ999/b19eoEABLV26VAUKFFBERISef/55de7cWSNHjrS3CQ0N1Y8//qjY2FjVrFlTEydO1GeffXbdx78BAADg3y1P30nOytPpvLy8NHXqVE2dOvW6bcqUKaOffvrphutp2LChdu7cme0aAQAA8O+Tp+8kAwAAAK5ASAYAAABMCMkAAACACSEZAAAAMCEkAwAAACaEZAAAAMCEkAwAAACYEJIBAAAAE0IyAAAAYEJIBgAAAEwIyQAAAIAJIRkAAAAwISQDAAAAJoRkAAAAwISQDAAAAJgQkgEAAAATQjIAAABgQkgGAAAATAjJAAAAgAkhGQAAADAhJAMAAAAmhGQAAADAhJAMAAAAmBCSAQAAABNCMgAAAGBCSAYAAABMCMkAAACACSEZAAAAMCEkAwAAACYFXV0AAADA3SZm43OuLuGWWKwFFaJ2+nhTFxluV11dzi3pU/fr27Je7iQDAAAAJoRkAAAAwISQDAAAAJgQkgEAAAATQjIAAABgQkgGAAAATAjJAAAAgAkhGQAAADAhJAMAAAAmhGQAAADAhJAMAAAAmBCSAQAAABNCMgAAAGBCSAYAAABMCMkAAACACSEZAAAAMCEkAwAAACaEZAAAAMCEkAwAAACYEJIBAAAAE0IyAAAAYEJIBgAAAEwIyQAAAIAJIRkAAAAwISQDAAAAJoRkAAAAwISQDAAAAJgQkgEAAAATQjIAAABgQkgGAAAATAjJAAAAgAkhGQAAADAhJAMAAAAmhGQAAADAhJAMAAAAmBCSAQAAABNCMgAAAGBCSAYAAABMCMkAAACACSEZAAAAMCEkAwAAACaEZAAAAMCEkAwAAACYEJIBAAAAE0IyAAAAYEJIBgAAAEwKuroAID+p99K7ri7hlngUdNNrzaqpRZ9xSrtqdXU5t2T9J++4ugQAQB7GnWQAAADAhJBsMnXqVIWEhMjLy0u1a9fWli1bXF0SAAAA7jBC8jW+/vpr9evXT8OGDdOOHTtUs2ZNNW/eXElJSa4uDQAAAHcQIfkakyZNUo8ePdS1a1dVqVJF06dPV+HChTVz5kxXlwYAAIA7iC/u/U9aWpq2b9+uwYMH2+e5ubmpSZMmiouLc2qfmpqq1NRU+/T58+clSWfOnFF6enqWtxvVfuwtVO167gXd1K5zTbV74h2l3+Vf5Jrz1Ru3fRtu1rTbvo3byS3DTZcuXZJbRprcrHd3f58+ffq2b6Ng2l3e327/6++0NBWkv2/u0tXbv43byqpLxiXpcrok+vtmUi8Yt30bt5PFsOrSpUtK9bDKsNzd+5Kd/r5w4YIkyTBuvs8WIyut8oHjx4/r3nvv1S+//KKIiAj7/EGDBmnt2rXavHmzQ/vhw4drxIgRd7pMAAAA3KKjR4+qdOnSN2zDneQcGjx4sPr162eftlqtOnPmjEqWLCmLxeLCyu6s5ORkBQcH6+jRo/L19XV1ObjN6O/8hf7OX+jv/CW/9rdhGLpw4YKCgoJu2paQ/D+lSpVSgQIFlJiY6DA/MTFRAQEBTu09PT3l6enpMK9YsWK3s8Q8zdfXN19dZPkd/Z2/0N/5C/2dv+TH/i5atGiW2vHFvf/x8PBQeHi4Vq1aZZ9ntVq1atUqh+EXAAAA+PfjTvI1+vXrp6ioKNWqVUsPP/ywYmJilJKSoq5du7q6NAAAANxBhORrPPfcczp58qSGDh2qhIQEhYWFadmyZfL393d1aXmWp6enhg0b5jT0BP9O9Hf+Qn/nL/R3/kJ/3xxPtwAAAABMGJMMAAAAmBCSAQAAABNCMgAAAGBCSAYAAABMCMnIkXXr1unxxx9XUFCQLBaLFi1a5OqScBuNGTNGDz30kIoUKSI/Pz+1adNGv//+u6vLwm0ybdo01ahRw/5HBiIiIvSf//zH1WXhDnj//fdlsVjUp08fV5eC22T48OGyWCwOP5UqVXJ1WXkSIRk5kpKSopo1a2rq1KmuLgV3wNq1axUdHa1NmzYpNjZW6enpatasmVJSUlxdGm6D0qVL6/3339f27du1bds2PfbYY3ryySe1d+9eV5eG22jr1q365JNPVKNGDVeXgtusatWqOnHihP1nw4YNri4pT+I5yciRli1bqmXLlq4uA3fIsmXLHKZnz54tPz8/bd++XfXr13dRVbhdHn/8cYfp0aNHa9q0adq0aZOqVq3qoqpwO128eFGdOnXSp59+qlGjRrm6HNxmBQsWVEBAgKvLyPO4kwwg286fPy9JKlGihIsrwe2WkZGhr776SikpKYqIiHB1ObhNoqOjFRkZqSZNmri6FNwBBw4cUFBQkO6//3516tRJR44ccXVJeRJ3kgFki9VqVZ8+fVS3bl1Vq1bN1eXgNtm9e7ciIiJ05coV+fj4aOHChapSpYqry8Jt8NVXX2nHjh3aunWrq0vBHVC7dm3Nnj1bFStW1IkTJzRixAjVq1dPe/bsUZEiRVxdXp5CSAaQLdHR0dqzZw9j2P7lKlasqPj4eJ0/f17ffvutoqKitHbtWoLyv8zRo0f1+uuvKzY2Vl5eXq4uB3fAtUMla9Soodq1a6tMmTL65ptv1K1bNxdWlvcQkgFkWa9evbR06VKtW7dOpUuXdnU5uI08PDxUrlw5SVJ4eLi2bt2qyZMn65NPPnFxZchN27dvV1JSkh588EH7vIyMDK1bt04fffSRUlNTVaBAARdWiNutWLFiqlChgg4ePOjqUvIcQjKAmzIMQ71799bChQu1Zs0ahYaGurok3GFWq1WpqamuLgO5rHHjxtq9e7fDvK5du6pSpUp64403CMj5wMWLF/Xnn3/qhRdecHUpeQ4hGTly8eJFh986Dx06pPj4eJUoUUL33XefCyvD7RAdHa358+dr8eLFKlKkiBISEiRJRYsWVaFChVxcHXLb4MGD1bJlS9133326cOGC5s+frzVr1mj58uWuLg25rEiRIk7fLfD29lbJkiX5zsG/1IABA/T444+rTJkyOn78uIYNG6YCBQqoQ4cOri4tzyEkI0e2bdumRo0a2af79esnSYqKitLs2bNdVBVul2nTpkmSGjZs6DB/1qxZ6tKly50vCLdVUlKSOnfurBMnTqho0aKqUaOGli9frqZNm7q6NAC36O+//1aHDh10+vRp3XPPPXr00Ue1adMm3XPPPa4uLc+xGIZhuLoIAAAAIC/hOckAAACACSEZAAAAMCEkAwAAACaEZAAAAMCEkAwAAACYEJIBAAAAE0IyAAAAYEJIBgAAAEwIyQCA62rYsKH69Oljnw4JCVFMTMwNXzN8+HCFhYXd1roA4HYjJAPAXSAhIUG9e/fW/fffL09PTwUHB+vxxx/XqlWr7mgdW7duVc+ePe3TFotFixYtcmgzYMCAO14XAOS2gq4uAABwY4cPH1bdunVVrFgxjR8/XtWrV1d6erqWL1+u6Oho/fbbb3eslnvuueembXx8fOTj43MHqgGA24c7yQCQx7366quyWCzasmWL2rZtqwoVKqhq1arq16+fNm3aJEk6cuSInnzySfn4+MjX11ft2rVTYmKifR22IRBffvmlQkJCVLRoUbVv314XLlywt0lJSVHnzp3l4+OjwMBATZw40amWa4dbhISESJKeeuopWSwW+7R5uIXVatXIkSNVunRpeXp6KiwsTMuWLbMvP3z4sCwWi77//ns1atRIhQsXVs2aNRUXF5dLRxAAso+QDAB52JkzZ7Rs2TJFR0fL29vbaXmxYsVktVr15JNP6syZM1q7dq1iY2P1119/6bnnnnNo++eff2rRokVaunSpli5dqrVr1+r999+3Lx84cKDWrl2rxYsXa8WKFVqzZo127Nhx3dq2bt0qSZo1a5ZOnDhhnzabPHmyJk6cqAkTJmjXrl1q3ry5nnjiCR04cMCh3dtvv60BAwYoPj5eFSpUUIcOHXT16tUsHysAyE0MtwCAPOzgwYMyDEOVKlW6bptVq1Zp9+7dOnTokIKDgyVJX3zxhapWraqtW7fqoYcekvTPHd3Zs2erSJEikqQXXnhBq1at0ujRo3Xx4kV9/vnnmjt3rho3bixJmjNnjkqXLn3d7dqGXhQrVkwBAQHXbTdhwgS98cYbat++vSRp7Nix+vnnnxUTE6OpU6fa2w0YMECRkZGSpBEjRqhq1ao6ePDgDfcdAG4X7iQDQB5mGMZN2+zfv1/BwcH2gCxJVapUUbFixbR//377vJCQEHtAlqTAwEAlJSVJ+ucuc1pammrXrm1fXqJECVWsWPGW6k9OTtbx48dVt25dh/l169Z1qE2SatSo4VCbJHt9AHCnEZIBIA8rX768LBZLrnw5z93d3WHaYrHIarXe8npzy7X1WSwWScpT9QHIXwjJAJCHlShRQs2bN9fUqVOVkpLitPzcuXOqXLmyjh49qqNHj9rn79u3T+fOnVOVKlWytJ2yZcvK3d1dmzdvts87e/as/vjjjxu+zt3dXRkZGddd7uvrq6CgIG3cuNFh/saNG7NcGwC4AmOSASCPmzp1qurWrauHH35YI0eOVI0aNXT16lXFxsZq2rRp2rdvn6pXr65OnTopJiZGV69e1auvvqoGDRqoVq1aWdqGj4+PunXrpoEDB6pkyZLy8/PT22+/LTe3G99LCQkJ0apVq1S3bl15enqqePHiTm0GDhyoYcOGqWzZsgoLC9OsWbMUHx+vefPm5eh4AMCdQEgGgDzu/vvv144dOzR69Gj1799fJ06c0D333KPw8HBNmzZNFotFixcvVu/evVW/fn25ubmpRYsWmjJlSra2M378eF28eFGPP/64ihQpov79++v8+fM3fM3EiRPVr18/ffrpp7r33nt1+PBhpzavvfaazp8/r/79+yspKUlVqlTRkiVLVL58+WzVBwB3ksXIyrdCAAAAgHyEMckAAACACSEZAAAAMCEkAwAAACaEZAAAAMCEkAwAAACYEJIBAAAAE0IyAAAAYEJIBgAAAEwIyQAAAIAJIRkAAAAwISQDAAAAJv8PWBUetbfgShoAAAAASUVORK5CYII=",
|
||
"text/plain": [
|
||
"<Figure size 800x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Распределение 'condition' в валидационной выборке:\n",
|
||
" condition\n",
|
||
"3 2125\n",
|
||
"4 830\n",
|
||
"5 256\n",
|
||
"2 27\n",
|
||
"1 4\n",
|
||
"Name: count, dtype: int64\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"C:\\Users\\salih\\AppData\\Local\\Temp\\ipykernel_8140\\3337968062.py:11: FutureWarning: \n",
|
||
"\n",
|
||
"Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
|
||
"\n",
|
||
" sns.barplot(x=condition_counts.index, y=condition_counts.values, palette='viridis')\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 800x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Распределение 'condition' в тестовой выборке:\n",
|
||
" condition\n",
|
||
"3 2069\n",
|
||
"4 891\n",
|
||
"5 256\n",
|
||
"2 24\n",
|
||
"1 2\n",
|
||
"Name: count, dtype: int64\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"C:\\Users\\salih\\AppData\\Local\\Temp\\ipykernel_8140\\3337968062.py:11: FutureWarning: \n",
|
||
"\n",
|
||
"Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
|
||
"\n",
|
||
" sns.barplot(x=condition_counts.index, y=condition_counts.values, palette='viridis')\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 800x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Проверка необходимости аугментации для признака 'condition' в обучающей выборке:\n",
|
||
"Минимальное количество наблюдений в классе: 24\n",
|
||
"Максимальное количество наблюдений в классе: 9837\n",
|
||
"Выборка 'обучающей' несбалансирована, рекомендуется аугментация.\n",
|
||
"\n",
|
||
"Проверка необходимости аугментации для признака 'condition' в валидационной выборке:\n",
|
||
"Минимальное количество наблюдений в классе: 4\n",
|
||
"Максимальное количество наблюдений в классе: 2125\n",
|
||
"Выборка 'валидационной' несбалансирована, рекомендуется аугментация.\n",
|
||
"\n",
|
||
"Проверка необходимости аугментации для признака 'condition' в тестовой выборке:\n",
|
||
"Минимальное количество наблюдений в классе: 2\n",
|
||
"Максимальное количество наблюдений в классе: 2069\n",
|
||
"Выборка 'тестовой' несбалансирована, рекомендуется аугментация.\n",
|
||
"\n",
|
||
"Распределение классов после SMOTE (oversampling):\n",
|
||
"condition\n",
|
||
"3 9837\n",
|
||
"5 9837\n",
|
||
"4 9837\n",
|
||
"2 9837\n",
|
||
"1 9837\n",
|
||
"Name: count, dtype: int64\n",
|
||
"Распределение классов после RandomUnderSampler (undersampling):\n",
|
||
"condition\n",
|
||
"1 24\n",
|
||
"2 24\n",
|
||
"3 24\n",
|
||
"4 24\n",
|
||
"5 24\n",
|
||
"Name: count, dtype: int64\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"if 'condition' in df.columns:\n",
|
||
" X_train, X_temp, y_train, y_temp = train_test_split(df.drop(['price'], axis=1), df['condition'], test_size=0.3, random_state=42)\n",
|
||
" X_val, X_test, y_val, y_test = train_test_split(X_temp, y_temp, test_size=0.5, random_state=42)\n",
|
||
"\n",
|
||
" def analyze_condition_distribution(data, name):\n",
|
||
" \"\"\"Проверка и визуализация распределения признака 'condition'\"\"\"\n",
|
||
" condition_counts = data.value_counts()\n",
|
||
" print(f\"Распределение 'condition' в {name} выборке:\\n\", condition_counts)\n",
|
||
" \n",
|
||
" plt.figure(figsize=(8, 6))\n",
|
||
" sns.barplot(x=condition_counts.index, y=condition_counts.values, palette='viridis')\n",
|
||
" plt.title(f\"Распределение признака 'condition' в {name} выборке\")\n",
|
||
" plt.xlabel('Condition')\n",
|
||
" plt.ylabel('Count')\n",
|
||
" plt.grid(True)\n",
|
||
" plt.show()\n",
|
||
"\n",
|
||
" analyze_condition_distribution(y_train, 'обучающей')\n",
|
||
" analyze_condition_distribution(y_val, 'валидационной')\n",
|
||
" analyze_condition_distribution(y_test, 'тестовой')\n",
|
||
"\n",
|
||
" def check_condition_augmentation(data, name):\n",
|
||
" print(f\"Проверка необходимости аугментации для признака 'condition' в {name} выборке:\")\n",
|
||
" min_count = data.value_counts().min()\n",
|
||
" max_count = data.value_counts().max()\n",
|
||
" print(f\"Минимальное количество наблюдений в классе: {min_count}\")\n",
|
||
" print(f\"Максимальное количество наблюдений в классе: {max_count}\")\n",
|
||
" \n",
|
||
" if max_count > min_count * 1.5:\n",
|
||
" print(f\"Выборка '{name}' несбалансирована, рекомендуется аугментация.\\n\")\n",
|
||
" else:\n",
|
||
" print(f\"Выборка '{name}' сбалансирована, аугментация не требуется.\\n\")\n",
|
||
"\n",
|
||
" check_condition_augmentation(y_train, 'обучающей')\n",
|
||
" check_condition_augmentation(y_val, 'валидационной')\n",
|
||
" check_condition_augmentation(y_test, 'тестовой')\n",
|
||
"else:\n",
|
||
" print(\"Признак 'condition' отсутствует в данных.\")\n",
|
||
"\n",
|
||
"smote = SMOTE(random_state=42)\n",
|
||
"X_train_smote, y_train_smote = smote.fit_resample(X_train, y_train)\n",
|
||
"\n",
|
||
"print(\"Распределение классов после SMOTE (oversampling):\")\n",
|
||
"print(pd.Series(y_train_smote).value_counts())\n",
|
||
"\n",
|
||
"undersampler = RandomUnderSampler(random_state=42)\n",
|
||
"X_train_under, y_train_under = undersampler.fit_resample(X_train, y_train)\n",
|
||
"\n",
|
||
"print(\"Распределение классов после RandomUnderSampler (undersampling):\")\n",
|
||
"print(pd.Series(y_train_under).value_counts())\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"В этом исследование данные не сбалансированы, поэтому требуется аугментация."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"<h2>Данные о населении</h2>"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 71,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
" Country (or dependency) Population 2020 Yearly Change Net Change \\\n",
|
||
"no \n",
|
||
"1 China 1,439,323,776 0.39% 5,540,090 \n",
|
||
"2 India 1,380,004,385 0.99% 13,586,631 \n",
|
||
"3 United States 331,002,651 0.59% 1,937,734 \n",
|
||
"4 Indonesia 273,523,615 1.07% 2,898,047 \n",
|
||
"5 Pakistan 220,892,340 2.00% 4,327,022 \n",
|
||
"\n",
|
||
" Density (P/Km²) Land Area (Km²) Migrants (net) Fert. Rate Med. Age \\\n",
|
||
"no \n",
|
||
"1 153 9,388,211 -348,399 1.7 38 \n",
|
||
"2 464 2,973,190 -532,687 2.2 28 \n",
|
||
"3 36 9,147,420 954,806 1.8 38 \n",
|
||
"4 151 1,811,570 -98,955 2.3 30 \n",
|
||
"5 287 770,880 -233,379 3.6 23 \n",
|
||
"\n",
|
||
" Urban Pop % World Share \n",
|
||
"no \n",
|
||
"1 61% 18.47% \n",
|
||
"2 35% 17.70% \n",
|
||
"3 83% 4.25% \n",
|
||
"4 56% 3.51% \n",
|
||
"5 35% 2.83% \n",
|
||
"\n",
|
||
"Country (or dependency)\n",
|
||
"Population 2020\n",
|
||
"Yearly Change\n",
|
||
"Net Change\n",
|
||
"Density (P/Km²)\n",
|
||
"Land Area (Km²)\n",
|
||
"Migrants (net)\n",
|
||
"Fert. Rate\n",
|
||
"Med. Age\n",
|
||
"Urban Pop %\n",
|
||
"World Share\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import numpy as np\n",
|
||
"import pandas as pd \n",
|
||
"import matplotlib.pyplot as plt\n",
|
||
"from sklearn.model_selection import train_test_split\n",
|
||
"\n",
|
||
"df2 = pd.read_csv(\"..//static//csv//WorldPopulation.csv\", index_col=\"no\")\n",
|
||
"\n",
|
||
"print(df2.head(), \"\\n\")\n",
|
||
"print(*list(df2.columns), sep='\\n')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Объектом наблюдения является страны и информация о их наслении.<br>\n",
|
||
"Атрибуты объекта: Страна, Население, Годовое изменение, NetChange, Плотность, Площадь суши, Мигранты, Fert.Rate, Средний возраст, UrbanPop%, Доля в мире;<br>\n",
|
||
"Связь между объектами: имеется связь между атрибутами, например между Коэффициент фертильности и Плотностю населения.<br>"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 49,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"C:\\Users\\salih\\AppData\\Local\\Temp\\ipykernel_13360\\2445382032.py:10: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
|
||
"Try using .loc[row_indexer,col_indexer] = value instead\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" df_clean['Density (P/Km²)'] = pd.cut(df2['Density (P/Km²)'], bins=range(0, 1000, 100))\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
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",
|
||
"text/plain": [
|
||
"<Figure size 1000x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"df2['Fert. Rate'] = pd.to_numeric(df2['Fert. Rate'], errors='coerce')\n",
|
||
"\n",
|
||
"\n",
|
||
"df2['Fert. Rate'] = pd.to_numeric(df2['Fert. Rate'], errors='coerce')\n",
|
||
"\n",
|
||
"df_clean = df2.dropna(subset=['Fert. Rate', 'Density (P/Km²)'])\n",
|
||
" \n",
|
||
"## correlation = df_clean[['Density (P/Km²)', 'Fert. Rate']].corr().iloc[0, 1] ## использовать только один раз потом удалить\n",
|
||
"\n",
|
||
"df_clean['Density (P/Km²)'] = pd.cut(df2['Density (P/Km²)'], bins=range(0, 1000, 100))\n",
|
||
"plt.figure(figsize=(10, 6))\n",
|
||
"sns.boxplot(data=df_clean, x='Density (P/Km²)', y='Fert. Rate')\n",
|
||
"plt.title('Распределение уровня рождаемости по плотности населения')\n",
|
||
"plt.xlabel('Плотность (чел./км²)')\n",
|
||
"plt.ylabel('Уровень рождаемости')\n",
|
||
"plt.xticks(rotation=45)\n",
|
||
"plt.show()\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"В регионах с низкой плотностью населения рождаемость значительно варьируется, в то время как в регионах с плотностью более 400 чел./км² наблюдается более стабильная и высокая рождаемость."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"<h3>Бизнес-цели</h3>"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"1. **Бизнес-цель**: Определение наилучших стран для выхода на рынок товаров и услуг, связанных с материнством и детством.<br>\n",
|
||
" Эффект для бизнеса: Возможность выбора стран с высоким уровнем рождаемости и значительным числом молодых семей для запуска маркетинговых кампаний и открытия новых филиалов.\n",
|
||
"- **Цели технического проекта**:\n",
|
||
" - Построить модель для определения стран с высоким потенциалом развития рынка товаров для детей и матерей.\n",
|
||
" - **Входные признаки**: Плотность населения, Уровень рождаемости, Средний возраст, Доля городского населения.\n",
|
||
" - **Целевой признак**: Страна с высоким или низким потенциалом для выхода на рынок.\n",
|
||
"2. **Бизнес-цель**: Оптимизация стратегий миграционной политики.\n",
|
||
" Эффект для бизнеса: Компании, предоставляющие услуги в области миграции, найма и адаптации, могут использовать эти данные для выбора мест, где их услуги будут наиболее востребованы.\n",
|
||
"- **Цели технического проекта**:\n",
|
||
" - Построить модель, определяющую страны с наибольшим оттоком мигрантов и прогнозировать влияние миграции на рынок труда.\n",
|
||
" - **Входные признаки**: Годовое изменение населения, Плотность населения, Доля городского населения.\n",
|
||
" - **Целевой признак**: Уровень чистой миграции.\n",
|
||
"3. **Бизнес-цель**: Определение экономического потенциала стран на основе плотности населения и уровня урбанизации.\n",
|
||
" Эффект для бизнеса: Компании могут определить страны с высоким уровнем урбанизации и значительной плотностью населения для открытия новых офисов, производств или филиалов.\n",
|
||
"- **Цели технического проекта**:\n",
|
||
" - Создать модель для ранжирования стран по их экономическому потенциалу на основе демографических данных.\n",
|
||
" - **Входные признаки**: Плотность населения, Уровень урбанизации, Средний возраст, Доля городского населения.\n",
|
||
" - **Целевой признак**: Оценка экономического потенциала."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"**<h3>Поиск проблем</h3>**"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 145,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Количество пропущеных ячеек: \n",
|
||
" Country (or dependency) 0\n",
|
||
"Population 2020 0\n",
|
||
"Yearly Change 0\n",
|
||
"Net Change 0\n",
|
||
"Density (P/Km²) 12\n",
|
||
"Land Area (Km²) 0\n",
|
||
"Migrants (net) 34\n",
|
||
"Fert. Rate 34\n",
|
||
"Med. Age 34\n",
|
||
"Urban Pop % 13\n",
|
||
"World Share 0\n",
|
||
"dtype: int64\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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6tddek3T6vtYz7d69W6mpqRo/fvw5z/4+8MADMgxDEyZMKNV2dohu27atLBaL/P39NXPmTH3zzTeaNWvWBe1Lyb2pZ09LdraSM3UWi6VUW1RUlEJCQjRz5kyX7Xz77bf68ccfdffdd5da56233nL+v2EYeuutt1S1alXnGcZu3brJbre79JOk119/XV5eXuratauk0/e+ent7a+LEiaXOJpYct9jYWPn4+Gj69Okux/K9995TQUFBqZ/X2cpzjFq2bKmGDRvqjTfeKDVlWHm/BPkrFotFnTp10tKlS10uOc7Ly9PChQvVrl27Mu8PrlKlih599FFlZmbqscceK3PbrVu3Vv369Uv9DJcvX65t27b95TG6WOd7f0lSly5dtHXrVqWnpzuXnTx5UqmpqQoJCVGrVq0u6HU//fRTSdJNN90k6fT97i1atNC8efNcfo5ZWVlasWKFy2jiH374of7973/rxRdf1LPPPqtevXpp7Nixzi+NzrRkyRKXadLWrl2rNWvWON/HZanI54y/v3+p9x0AVEZM7wUAV7CbbrpJ/fr10zvvvKOjR48qJiZGa9eu1bx589SzZ0+1b9/epb/NZlOTJk00YMCAc26zffv26tu3r6ZPn64dO3aoS5cucjgc+vbbb9W+fftzzjvcuXNn9enTR08//bR69Oih0NDQ89ael5enBQsWSDp9Ofvbb7+tKlWqlArDe/fuVVpamgzDUHZ2tl544QVFREQoKiqq1Bm2KlWqaOrUqXr00Ud1++23q3fv3s7pva6++mo988wzLv39/PyUlpamfv36qU2bNlq+fLk+++wzJSYmql69epKkHj16qH379nruuee0e/du3XTTTVqxYoWWLl2qESNGOM/KNmrUSM8995wmTZqk22+/Xffff798fX21bt06hYWFacqUKapXr57GjBmjCRMmqEuXLrrnnnu0fft2zZgxQzfffLP69OlzQcfoTN7e3kpNTVWPHj3UokULDRgwQKGhofr555+1ZcsWffHFF+f9uZTX5MmTlZ6ernbt2ik+Pl5VqlTR22+/raKiIk2dOvWc602aNEmjR49W7dq1y2yvWrWqXnrpJQ0YMEAxMTGKi4tzTu/VoEEDl+nBpNMDs6WlpTmfb9q0SdLpAHnmtGF2u12//fab1q5dq1tuucW5/Hzvr7I8/fTTWrhwoe677z6X6b22bt2q999/v9Q82GX57bffnD/X4uJi/fTTT3r77bdVt25dDRs2zNnv5ZdfVteuXRUdHa2BAwc6p/cKDAx0zml+4MABDRkyxOV386233tLXX3+t/v3767vvvnO5D75Ro0Zq166dhgwZoqKiIr3xxhsKCgrS008/fc56K/I506pVK+dVLo0aNVL9+vV11113/eUxAQCP467hzgEApVV0ei/DMIw///zTmDBhgtGwYUOjatWqRnh4uDFmzBjj5MmTLv1KphVavHixy/J+/fq5TO9lGKeniHr55ZeNxo0bGz4+Pka9evWMrl27GuvXr3f20VnTPRmGYRw6dMioV6+ecd999513P2NiYlymNqpVq5Zx2223GZ9//rlLvzP7eHl5GSEhIcb9999vbNu2zeV4lUzvVeI///mPERUVZfj6+hp16tQx4uLijD179pTab39/f2Pnzp1Gp06djOrVqxvBwcHGuHHjSk3PdezYMWPkyJFGWFiYUbVqVeO6664zXn755TKny5o9e7bztWvXrm3ExMQY6enpLn3eeusto3HjxkbVqlWN4OBgY8iQIaWm4irvMTqX7777zujYsaNRs2ZNw9/f37Barcabb7553nUqMr2XYRjGhg0bjM6dOxs1atQwqlevbrRv395YvXp1ubb5V+3//ve/XX6GvXv3dpmWyjD+N0VbRR5nTj31V+8vwyg9vZdhGMavv/5qPPDAA0ZgYKDh6+trtG7dutTv1bmcPb2Xt7e3Ub9+fSMuLs45VdyZvvzyS+O2224zqlWrZgQEBBg9evQwtm7d6my///77jZo1axq7d+92WW/p0qWGJOOll15y2Y+XX37ZePXVV43w8HDD19fXuP32242ffvrJZd2zp/cyjPJ/zuTm5hrdu3c3atasWep4A0Bl4mUYJl1HBgDAFaR///768MMPnffEwvPNnTtXc+fO1apVq9xdyiW3e/duNWzYUC+//LKeeuopd5cDAB6Pe7QBAAAAADARQRsAAFQKV111lcv92QAA/F0YDA0AAFQKHTt2VMeOHd1dBgCgEuAebQAAAAAATMSl4wAAAAAAmIigDQAAAACAia7Ie7QdDof279+vmjVrysvLy93lAAAAAAA8nGEYOnbsmMLCwuTtff5z1ldk0N6/f7/Cw8PdXQYAAAAAoJLZt2+frr766vP2uSKDds2aNSWd3sGAgAA3VwMAAAAA8HSFhYUKDw935tHzuSKDdsnl4gEBAQRtAAAAAMAlU57blxkMDQAAAAAAExG0AQAAAAAwEUEbAAAAAAATEbQBAAAAADARQRsAAAAAABMRtAEAAAAAMBFBGwAAAAAAExG0AQAAAAAwEUEbAAAAAAATEbQBAAAAADARQRsAAAAAABMRtAEAAAAAMBFBGwAAAAAAE1VxdwEAAODSsNvtyszMVH5+voKCgmS1WmWxWNxdFgAAHoegDQBAJWCz2ZSSkqLc3FznspCQECUkJCgmJsaNlQEA4Hm4dBwAAA9ns9mUlJSkyMhIpaamKi0tTampqYqMjFRSUpJsNpu7SwQAwKN4GYZhuLuIiiosLFRgYKAKCgoUEBDg7nIAALhs2e12xcXFKTIyUsnJyfL2/t937A6HQ4mJicrOztbChQu5jBwAgPOoSA7ljDYAAB4sMzNTubm56tu3r0vIliRvb2/16dNHOTk5yszMdFOFAAB4HoI2AAAeLD8/X5LUsGHDMtsjIyNd+gEAgItH0AYAwIMFBQVJkrKzs8ts37Vrl0s/AABw8QjaAAB4MKvVqpCQEM2fP18Oh8OlzeFwaMGCBQoNDZXVanVThQAAeB6CNgAAHsxisSghIUEZGRlKTExUVlaWTpw4oaysLCUmJiojI0Px8fEMhAYAgIkYdRwAgEqgrHm0Q0NDFR8fzzzaAACUQ0VyKEEbAIBKwm63KzMzU/n5+QoKCpLVauVMNgAA5VSRHFrlEtUEAADczGKxKCoqyt1lAADg8bhHGwAAAAAAExG0AQAAAAAwEUEbAAAAAAATEbQBAAAAADARQRsAAAAAABMRtAEAAAAAMBFBGwAAAAAAExG0AQAAAAAwEUEbAAAAAAATEbQBAAAAADARQRsAAAAAABMRtAEAAAAAMBFBGwAAAAAAExG0AQAAAAAwEUEbAAAAAAATEbQBAAAAADARQRsAAAAAABMRtAEAAAAAMBFBGwAAAAAAExG0AQAAAAAwURV3FwAAAC4Nu92uzMxM5efnKygoSFarVRaLxd1lAQDgcQjaAABUAjabTSkpKcrNzXUuCwkJUUJCgmJiYtxYGQAAnodLxwEA8HA2m01JSUmKjIxUamqq0tLSlJqaqsjISCUlJclms7m7RAAAPIqXYRiGu4uoqMLCQgUGBqqgoEABAQHuLgcAgMuW3W5XXFycIiMjlZycLG/v/33H7nA4lJiYqOzsbC1cuJDLyAEAOI+K5FDOaAMA4MEyMzOVm5urvn37uoRsSfL29lafPn2Uk5OjzMxMN1UIAIDnIWgDAODB8vPzJUkNGzYssz0yMtKlHwAAuHgEbQAAPFhQUJAkKTs7u8z2Xbt2ufQDAAAXj6ANAIAHs1qtCgkJ0fz58+VwOFzaHA6HFixYoNDQUFmtVjdVCACA5yFoAwDgwSwWixISEpSRkaHExERlZWXpxIkTysrKUmJiojIyMhQfH89AaAAAmIhRxwEAqATKmkc7NDRU8fHxzKMNAEA5VCSHErQBAKgk7Ha7MjMzlZ+fr6CgIFmtVs5kAwBQThXJoVUuUU0AAMDNLBaLoqKi3F0GAAAej3u0AQAAAAAwEUEbAAAAAAATEbQBAAAAADARQRsAAAAAABMRtAEAAAAAMBFBGwAAAAAAExG0AQAAAAAwEUEbAAAAAAATEbQBAAAAADARQRsAAAAAABNVKGjb7XY9//zzatiwoapVq6Zrr71WkyZNkmEYzj6GYSgpKUmhoaGqVq2aYmNjtWPHDpftHD58WL1791ZAQIBq1aqlgQMH6vjx4+bsEQAAAAAAblShoP3SSy8pNTVVb731lrZt26aXXnpJU6dO1ZtvvunsM3XqVE2fPl0zZ87UmjVr5O/vr86dO+vkyZPOPr1799aWLVuUnp6uZcuW6ZtvvtHjjz9u3l4BAAAAAOAmXsaZp6P/wt13363g4GC99957zmUPPPCAqlWrpgULFsgwDIWFhWnUqFF66qmnJEkFBQUKDg7W3Llz1atXL23btk1NmzbVunXr1Lp1a0lSWlqaunXrpv/+978KCwv7yzoKCwsVGBiogoICBQQEVHSfAQAAAACokIrk0Aqd0W7btq1WrlypX375RZL0008/6bvvvlPXrl0lSdnZ2crNzVVsbKxzncDAQLVp00YZGRmSpIyMDNWqVcsZsiUpNjZW3t7eWrNmTZmvW1RUpMLCQpcHAAAAAACXoyoV6fzss8+qsLBQjRs3lsVikd1u1wsvvKDevXtLknJzcyVJwcHBLusFBwc723Jzc1W/fn3XIqpUUZ06dZx9zjZlyhRNmDChIqUCAAAAAOAWFTqj/Z///Efvv/++Fi5cqA0bNmjevHl65ZVXNG/evL+rPknSmDFjVFBQ4Hzs27fvb309AAAAAAAuVIXOaI8ePVrPPvusevXqJUlq3ry59uzZoylTpqhfv34KCQmRJOXl5Sk0NNS5Xl5enlq0aCFJCgkJ0YEDB1y2e+rUKR0+fNi5/tl8fX3l6+tbkVIBAMBZ7Ha7MjMzlZ+fr6CgIFmtVlksFneXBQCAx6lQ0D5x4oS8vV1PglssFjkcDklSw4YNFRISopUrVzqDdWFhodasWaMhQ4ZIkqKjo3X06FGtX79erVq1kiR99dVXcjgcatOmzcXuDwAAKIPNZlNKSorLbVohISFKSEhQTEyMGysDAMDzVOjS8R49euiFF17QZ599pt27d2vx4sV67bXXdN9990mSvLy8NGLECE2ePFmffPKJNm/erEcffVRhYWHq2bOnJKlJkybq0qWLBg8erLVr1+r777/X0KFD1atXr3KNOA4AACrGZrMpKSlJkZGRSk1NVVpamlJTUxUZGamkpCTZbDZ3lwgAgEep0PRex44d0/PPP6/FixfrwIEDCgsLU1xcnJKSkuTj4yNJMgxD48aN0zvvvKOjR4+qXbt2mjFjhq6//nrndg4fPqyhQ4fq008/lbe3tx544AFNnz5dNWrUKFcdTO8FAED52O12xcXFKTIyUsnJyS5XpjkcDiUmJio7O1sLFy7kMnIAAM6jIjm0QkH7ckHQBgCgfDZu3Kjhw4crNTVVzZo1K9WelZWl+Ph4TZs2TVFRUW6oEACAK8PfNo82AAC4suTn50s6PY5KWSIjI136AQCAi0fQBgDAgwUFBUmSsrOzy2zftWuXSz8AAHDxCNoAAHgwq9WqkJAQzZ8/3zlLSAmHw6EFCxYoNDRUVqvVTRUCAOB5CNoAAHgwi8WihIQEZWRkKDExUVlZWTpx4oSysrKUmJiojIwMxcfHMxAaAAAmYjA0AAAqgbLm0Q4NDVV8fDzzaAMAUA6MOg4AAEqx2+3KzMxUfn6+goKCZLVaOZMNAEA5VSSHVrlENQEAADezWCxM4QUAwCXAPdoAAAAAAJiIoA0AAAAAgIkI2gAAAAAAmIigDQAAAACAiQjaAAAAAACYiKANAAAAAICJCNoAAAAAAJiIoA0AAAAAgIkI2gAAAAAAmIigDQAAAACAiQjaAAAAAACYiKANAAAAAICJCNoAAAAAAJiIoA0AAAAAgImquLsAAABwadjtdmVmZio/P19BQUGyWq2yWCzuLgsAAI9D0AYAoBKw2WxKSUlRbm6uc1lISIgSEhIUExPjxsoAAPA8XDoOAICHs9lsSkpKUmRkpFJTU5WWlqbU1FRFRkYqKSlJNpvN3SUCAOBRvAzDMNxdREUVFhYqMDBQBQUFCggIcHc5AABctux2u+Li4hQZGank5GR5e//vO3aHw6HExERlZ2dr4cKFXEYOAMB5VCSHckYbAAAPlpmZqdzcXPXt29clZEuSt7e3+vTpo5ycHGVmZrqpQgAAPA9BGwAAD5afny9JatiwYZntkZGRLv0AAMDFI2gDAODBgoKCJEnZ2dlltu/atculHwAAuHgEbQAAPJjValVISIjmz58vh8Ph0uZwOLRgwQKFhobKarW6qUIAADwPQRsAAA9msViUkJCgjIwMJSYmKisrSydOnFBWVpYSExOVkZGh+Ph4BkIDAMBEjDoOAEAlUNY82qGhoYqPj2cebQAAyqEiOZSgDQBAJWG325WZman8/HwFBQXJarVyJhsAgHKqSA6tcolqAgAAbmaxWBQVFeXuMgAA8Hjcow0AAAAAgIkI2gAAAAAAmIigDQAAAACAiQjaAAAAAACYiKANAAAAAICJCNoAAAAAAJiIoA0AAAAAgIkI2gAAAAAAmIigDQAAAACAiQjaAAAAAACYiKANAAAAAICJCNoAAAAAAJiIoA0AAAAAgImquLsAAABwadjtdmVmZio/P19BQUGyWq2yWCzuLgsAAI9D0AYAoBKw2WxKSUlRbm6uc1lISIgSEhIUExPjxsoAAPA8XDoOAICHs9lsSkpKUmRkpFJTU5WWlqbU1FRFRkYqKSlJNpvN3SUCAOBRCNoAAHgwu92ulJQURUdHa/z48dqyZYveeecdbdmyRePHj1d0dLRmzJghu93u7lIBAPAYXDoOAIAHy8zMVG5urpo3b66uXbu6BOrU1FS1b99eOTk5yszMVFRUlBsrBQDAcxC0AQDwYPn5+ZKk9PR01a5dW4MGDVLbtm21evVqvfvuu/ryyy9d+gEAgItH0AYAwIMFBgZKkmrWrKmPPvpIVaqc/qe/R48e6tq1q+69914dO3bM2Q8AAFw87tEGAMCD7dq1S5JUv359eXu7/rPv7e2tevXqufQDAAAXj6ANAIAHy8nJkSTt3LlTiYmJysrK0okTJ5SVlaXExERnwC7pBwAALh6XjgMA4MHCwsIkSffee6/WrFmj+Ph4Z1toaKjuueceffLJJ85+AADg4nkZhmG4u4iKKiwsVGBgoAoKChQQEODucgAAuGwVFxerc+fOCggI0H/+8x9t3bpV+fn5CgoKUtOmTfXwww+rsLBQX3zxhXx8fNxdLgAAl62K5FAuHQcAwIP5+PjooYce0pEjR/Twww9r3759atGihfbt26eHH35YR44c0UMPPUTIBgDARFw6DgCAhyu5XPyDDz7QK6+84lxusVjUq1cvl8vJAQDAxePScQAAKoni4mItWbJE+/fvV1hYmHr27MmZbAAAyqkiOZQz2gAAVBI+Pj56+OGH3V0GAAAej3u0AQAAAAAwEUEbAAAAAAATEbQBAAAAADARQRsAAAAAABMRtAEAAAAAMBFBGwAAAAAAExG0AQAAAAAwEfNoAwBQSdjtdmVmZio/P19BQUGyWq2yWCzuLgsAAI9D0AYAoBKw2WxKSUlRbm6uc1lISIgSEhIUExPjxsoAAPA8XDoOAICHs9lsSkpKUmRkpFJTU5WWlqbU1FRFRkYqKSlJNpvN3SUCAOBRvAzDMNxdREUVFhYqMDBQBQUFCggIcHc5AABctux2u+Li4hQZGank5GR5e//vO3aHw6HExERlZ2dr4cKFXEYOAMB5VCSHckYbAAAPlpmZqdzcXPXt29clZEuSt7e3+vTpo5ycHGVmZrqpQgAAPA9BGwAAD5afny9JatiwYZntkZGRLv0AAMDFI2gDAODBgoKCJEnZ2dlltu/atculHwAAuHgEbQAAPJjValVISIjmz58vh8Ph0uZwOLRgwQKFhobKarW6qUIAADwPQRsAAA9msViUkJCgjIwMJSYmKisrSydOnFBWVpYSExOVkZGh+Ph4BkIDAMBEjDoOAEAlUNY82qGhoYqPj2cebQAAyqEiOZSgDQBAJWG325WZman8/HwFBQXJarVyJhsAgHKqSA6tcolqAgAAbmaxWBQVFeXuMgAA8Hjcow0AAAAAgIkqHLR/++039enTR0FBQapWrZqaN2+uH3/80dluGIaSkpIUGhqqatWqKTY2Vjt27HDZxuHDh9W7d28FBASoVq1aGjhwoI4fP37xewMAAAAAgJtVKGgfOXJEt912m6pWrarly5dr69atevXVV1W7dm1nn6lTp2r69OmaOXOm1qxZI39/f3Xu3FknT5509undu7e2bNmi9PR0LVu2TN98840ef/xx8/YKAAAAAAA3qdBgaM8++6y+//57ffvtt2W2G4ahsLAwjRo1Sk899ZQkqaCgQMHBwZo7d6569eqlbdu2qWnTplq3bp1at24tSUpLS1O3bt303//+V2FhYX9ZB4OhAQBQcQyGBgDAhatIDq3QGe1PPvlErVu31kMPPaT69esrKipKs2bNcrZnZ2crNzdXsbGxzmWBgYFq06aNMjIyJEkZGRmqVauWM2RLUmxsrLy9vbVmzZoyX7eoqEiFhYUuDwAAUH42m01xcXEaPny4Jk6cqOHDhysuLk42m83dpQEA4HEqFLR37dql1NRUXXfddfriiy80ZMgQPfHEE5o3b54kOefmDA4OdlkvODjY2Zabm6v69eu7tFepUkV16tRxmdvzTFOmTFFgYKDzER4eXpGyAQCo1Gw2m5KSkhQZGanU1FSlpaUpNTVVkZGRSkpKImwDAGCyCgVth8Ohli1bKjk5WVFRUXr88cc1ePBgzZw58++qT5I0ZswYFRQUOB/79u37W18PAABPYbfblZKSoujoaCUnJ6tZs2aqXr26mjVrpuTkZEVHR2vGjBmy2+3uLhUAAI9RoaAdGhqqpk2buixr0qSJ9u7dK0kKCQmRJOXl5bn0ycvLc7aFhITowIEDLu2nTp3S4cOHnX3O5uvrq4CAAJcHAAD4a5mZmcrNzVXfvn3l7e36z763t7f69OmjnJwcZWZmuqlCAAA8T4WC9m233abt27e7LPvll18UEREhSWrYsKFCQkK0cuVKZ3thYaHWrFmj6OhoSVJ0dLSOHj2q9evXO/t89dVXcjgcatOmzQXvCAAAKC0/P1/S6X+jyxIZGenSDwAAXLwKBe2RI0fqhx9+UHJysn799VctXLhQ77zzjhISEiRJXl5eGjFihCZPnqxPPvlEmzdv1qOPPqqwsDD17NlT0ukz4F26dNHgwYO1du1aff/99xo6dKh69epVrhHHAQBA+QUFBUk6PWBpWXbt2uXSDwAAXLwKBe2bb75Zixcv1v/93//pxhtv1KRJk/TGG2+od+/ezj5PP/20hg0bpscff1w333yzjh8/rrS0NPn5+Tn7vP/++2rcuLE6dOigbt26qV27dnrnnXfM2ysAACBJslqtCgkJ0fz58+VwOFzaHA6HFixYoNDQUFmtVjdVCACA56nQPNqXC+bRBgCg/EpGHY+OjlafPn0UGRmpXbt2acGCBcrIyNDEiRMVExPj7jIBALisVSSHErQBAKgEbDabUlJSXKbSDA0NVXx8PCEbAIByIGgDAIBS7Ha7MjMzlZ+fr6CgIFmtVlksFneXBQDAFaEiObTKJaoJAAC4mcViUVRUlLvLAADA41VoMDQAAAAAAHB+BG0AAAAAAExE0AYAAAAAwEQEbQAAAAAATETQBgAAAADARARtAAAAAABMRNAGAAAAAMBEBG0AAAAAAExE0AYAAAAAwEQEbQAAAAAATETQBgAAAADARARtAAAAAABMRNAGAAAAAMBEBG0AAAAAAExE0AYAAAAAwEQEbQAAAAAATETQBgAAAADARARtAAAAAABMRNAGAAAAAMBEVdxdAAAAuDTsdrsyMzOVn5+voKAgWa1WWSwWd5cFAIDHIWgDAFAJ2Gw2vfXWW8rLy3MuCw4O1tChQxUTE+PGygAA8DxcOg4AgIez2Wx6/vnndfToUZflR48e1fPPPy+bzeaewgAA8FAEbQAAPJjdbterr74qSWrVqpVSU1OVlpam1NRUtWrVSpL06quvym63u7NMAAA8CkEbAAAPtmnTJh09elTNmzdXcnKymjVrpurVq6tZs2ZKTk5W8+bNdfToUW3atMndpQIA4DEI2gAAeLCNGzdKkh577DF5e7v+s+/t7a0BAwa49AMAABePoA0AAAAAgIkI2gAAeLCoqChJ0uzZs+VwOFzaHA6H5syZ49IPAABcPKb3AgDAg7Vo0UK1atXS5s2b9eyzz+rWW2+Vr6+vioqK9MMPP2jz5s2qXbu2WrRo4e5SAQDwGARtAAA8mMVi0ahRo/T888/rhx9+0A8//FCqz5NPPimLxeKG6gAA8ExcOg4AQCXh6+t73ucAAMAcnNEGAMCD2e12paSkqG3btpo0aZKysrKUn5+voKAg3XjjjXr++ec1Y8YMtWvXjrPaAACYhDPaAAB4sMzMTOXm5qpv376qWrWqoqKiFBsbq6ioKFWtWlV9+vRRTk6OMjMz3V0qAAAeg6ANAIAHy8/PlyQ1bNiwzPbIyEiXfgAA4OIRtAEA8GBBQUGSpOzs7DLbd+3a5dIPAABcPII2AAAezGq1KiQkRPPnzy9zHu0FCxYoNDRUVqvVTRUCAOB5CNoAAHgwi8WihIQEZWRkKDExUVlZWTpx4oSysrKUmJiojIwMxcfHMxAaAAAm8jIMw3B3ERVVWFiowMBAFRQUKCAgwN3lAABw2bPZbEpJSVFubq5zWWhoqOLj4xUTE+PGygAAuDJUJIcStAEAqCTsdrsyMzOd03tZrVbOZAMAUE4VyaHMow0AQCVhsVgUFRXl7jIAAPB43KMNAAAAAICJCNoAAAAAAJiIoA0AAAAAgIkI2gAAAAAAmIigDQAAAACAiQjaAAAAAACYiKANAAAAAICJmEcbAIBKwm63KzMzU/n5+QoKCpLVapXFYnF3WQAAeByCNgAAlYDNZlNKSopyc3Ody0JCQpSQkKCYmBg3VgYAgOfh0nEAADyczWZTUlKSIiMjlZqaqrS0NKWmpioyMlJJSUmy2WzuLhEAAI/iZRiG4e4iKqqwsFCBgYEqKChQQECAu8sBAOCyZbfbFRcXp8jISCUnJ8vb+3/fsTscDiUmJio7O1sLFy7kMnIAAM6jIjmUM9oAAHiwzMxM5ebmqm/fvi4hW5K8vb3Vp08f5eTkKDMz000VAgDgeQjaAAB4sPz8fElSw4YNy2yPjIx06QcAAC4eg6EBACqlkydPas+ePe4u42934sQJSdKqVat07bXXlmrfuXOns9/27dsvaW3uEBERIT8/P3eXAQDwcNyjDQColLZv367Bgwe7uwxcYrNmzdINN9zg7jIAAFegiuRQzmgDACqliIgIzZo1y91lXBIbNmzQzJkzZbVaFRUVpblz56p///7auHGjMjMz9c9//lMtW7Z0d5mXREREhLtLAABUApzRBgCgEihrHu3Q0FDFx8czjzYAAOVQkRxK0AYAoJKw2+367LPP9Morr+ipp55S9+7dmdILAIByYnovAABQisVicd6ffMMNNxCyAQD4mxC0AQAAAAAwEUEbAAAAAAATEbQBAAAAADARQRsAAAAAABMRtAEAAAAAMBFBGwAAAAAAExG0AQAAAAAwEUEbAAAAAAATEbQBAAAAADARQRsAAAAAABMRtAEAAAAAMBFBGwAAAAAAExG0AQAAAAAwEUEbAAAAAAATEbQBAAAAADARQRsAAAAAABMRtAEAAAAAMBFBGwAAAAAAExG0AQAAAAAwEUEbAAAAAAATXVTQfvHFF+Xl5aURI0Y4l508eVIJCQkKCgpSjRo19MADDygvL89lvb1796p79+6qXr266tevr9GjR+vUqVMXUwoAAAAAAJeFCw7a69at09tvvy2r1eqyfOTIkfr000/1wQcfyGazaf/+/br//vud7Xa7Xd27d1dxcbFWr16tefPmae7cuUpKSrrwvQAAAAAA4DJxQUH7+PHj6t27t2bNmqXatWs7lxcUFOi9997Ta6+9prvuukutWrXSnDlztHr1av3www+SpBUrVmjr1q1asGCBWrRooa5du2rSpElKSUlRcXGxOXsFAAAAAICbXFDQTkhIUPfu3RUbG+uyfP369frzzz9dljdu3FjXXHONMjIyJEkZGRlq3ry5goODnX06d+6swsJCbdmypczXKyoqUmFhocsDAAAAAIDLUZWKrrBo0SJt2LBB69atK9WWm5srHx8f1apVy2V5cHCwcnNznX3ODNkl7SVtZZkyZYomTJhQ0VIBAAAAALjkKnRGe9++fRo+fLjef/99+fn5/V01lTJmzBgVFBQ4H/v27btkrw0AAAAAQEVUKGivX79eBw4cUMuWLVWlShVVqVJFNptN06dPV5UqVRQcHKzi4mIdPXrUZb28vDyFhIRIkkJCQkqNQl7yvKTP2Xx9fRUQEODyAAAAAADgclShoN2hQwdt3rxZmzZtcj5at26t3r17O/+/atWqWrlypXOd7du3a+/evYqOjpYkRUdHa/PmzTpw4ICzT3p6ugICAtS0aVOTdgsAAAAAAPeo0D3aNWvW1I033uiyzN/fX0FBQc7lAwcO1JNPPqk6deooICBAw4YNU3R0tG699VZJUqdOndS0aVP17dtXU6dOVW5ursaOHauEhAT5+vqatFsAAAAAALhHhQdD+yuvv/66vL299cADD6ioqEidO3fWjBkznO0Wi0XLli3TkCFDFB0dLX9/f/Xr108TJ040uxQAAAAAAC65iw7aq1atcnnu5+enlJQUpaSknHOdiIgIff755xf70gAAAAAAXHYuaB5tAAAAAABQNoI2AAAAAAAmImgDAAAAAGAigjYAAAAAACYiaAMAAAAAYCKCNgAAAAAAJiJoAwAAAABgIoI2AAAAAAAmImgDAAAAAGAigjYAAAAAACYiaAMAAAAAYCKCNgAAAAAAJiJoAwAAAABgIoI2AAAAAAAmImgDAAAAAGAigjYAAAAAACYiaAMAAAAAYCKCNgAAAAAAJiJoAwAAAABgIoI2AAAAAAAmImgDAAAAAGAigjYAAAAAACYiaAMAAAAAYCKCNgAAAAAAJiJoAwAAAABgIoI2AAAAAAAmImgDAAAAAGAigjYAAAAAACYiaAMAAAAAYCKCNgAAAAAAJiJoAwAAAABgIoI2AAAAAAAmImgDAAAAAGAigjYAAAAAACYiaAMAAAAAYCKCNgAAAAAAJiJoAwAAAABgIoI2AAAAAAAmImgDAAAAAGAigjYAAAAAACYiaAMAAAAAYCKCNgAAAAAAJiJoAwAAAABgIoI2AAAAAAAmImgDAAAAAGAigjYAAAAAACYiaAMAAAAAYCKCNgAAAAAAJiJoAwAAAABgIoI2AAAAAAAmImgDAAAAAGAigjYAAAAAACYiaAMAAAAAYCKCNgAAAAAAJiJoAwAAAABgIoI2AAAAAAAmImgDAAAAAGAigjYAAAAAACYiaAMAAAAAYCKCNgAAAAAAJiJoAwAAAABgIoI2AAAAAAAmImgDAAAAAGAigjYAAAAAACYiaAMAAAAAYCKCNgAAAAAAJiJoAwAAAABgIoI2AAAAAAAmImgDAAAAAGAigjYAAAAAACYiaAMAAAAAYCKCNgAAAAAAJiJoAwAAAABgIoI2AAAAAAAmImgDAAAAAGAigjYAAAAAACYiaAMAAAAAYCKCNgAAAAAAJiJoAwAAAABgIoI2AAAAAAAmImgDAAAAAGCiKhXpPGXKFH388cf6+eefVa1aNbVt21YvvfSSbrjhBmefkydPatSoUVq0aJGKiorUuXNnzZgxQ8HBwc4+e/fu1ZAhQ/T111+rRo0a6tevn6ZMmaIqVSpUDgDAJHl5eTp69Ki7y8AlsGfPHpf/wvPVqlXL5e8wAMDfr0LJ1mazKSEhQTfffLNOnTqlxMREderUSVu3bpW/v78kaeTIkfrss8/0wQcfKDAwUEOHDtX999+v77//XpJkt9vVvXt3hYSEaPXq1crJydGjjz6qqlWrKjk52fw9BACcV15envr07q2i4mJ3l4JLaPLkye4uAZeIr4+PFrz/PmEbAC4hL8MwjAtd+eDBg6pfv75sNpvuuOMOFRQUqF69elq4cKEefPBBSdLPP/+sJk2aKCMjQ7feequWL1+uu+++W/v373d+4M+cOVPPPPOMDh48KB8fn7983cLCQgUGBqqgoEABAQEXWj4AQNL27ds1ePBgDWn2u8L87e4uB4CJ9v9uUeoWf82aNcvlCkQAQMVVJIde1LXaBQUFkqQ6depIktavX68///xTsbGxzj6NGzfWNddc4wzaGRkZat68ucu3qp07d9aQIUO0ZcsWRUVFlXqdoqIiFRUVuewgAMBcYf52NQwgaAMAAFysCx4MzeFwaMSIEbrtttt04403SpJyc3Pl4+OjWrVqufQNDg5Wbm6us8/Zly6VPC/pc7YpU6YoMDDQ+QgPD7/QsgEAAAAA+FtdcNBOSEhQVlaWFi1aZGY9ZRozZowKCgqcj3379v3trwkAAAAAwIW4oEvHhw4dqmXLlumbb77R1Vdf7VweEhKi4uJiHT161OWsdl5enkJCQpx91q5d67K9vLw8Z1tZfH195evreyGlAgAAAABwSVXojLZhGBo6dKgWL16sr776Sg0bNnRpb9WqlapWraqVK1c6l23fvl179+5VdHS0JCk6OlqbN2/WgQMHnH3S09MVEBCgpk2bXsy+AAAAAADgdhU6o52QkKCFCxdq6dKlqlmzpvOe6sDAQFWrVk2BgYEaOHCgnnzySdWpU0cBAQEaNmyYoqOjdeutt0qSOnXqpKZNm6pv376aOnWqcnNzNXbsWCUkJHDWGgAAAABwxatQ0E5NTZUk3XnnnS7L58yZo/79+0uSXn/9dXl7e+uBBx5QUVGROnfurBkzZjj7WiwWLVu2TEOGDFF0dLT8/f3Vr18/TZw48eL2BAAAAACAy0CFgnZ5ptz28/NTSkqKUlJSztknIiJCn3/+eUVeGgAAAACAK8IFjzoOAAAAAABKI2gDAAAAAGAigjYAAAAAACYiaAMAAAAAYCKCNgAAAAAAJiJoAwAAAABgIoI2AAAAAAAmImgDAAAAAGAigjYAAAAAACYiaAMAAAAAYCKCNgAAAAAAJiJoAwAAAABgIoI2AAAAAAAmImgDAAAAAGAigjYAAAAAACYiaAMAAAAAYCKCNgAAAAAAJiJoAwAAAABgIoI2AAAAAAAmImgDAAAAAGAigjYAAAAAACYiaAMAAAAAYCKCNgAAAAAAJiJoAwAAAABgIoI2AAAAAAAmImgDAAAAAGAigjYAAAAAACYiaAMAAAAAYCKCNgAAAAAAJiJoAwAAAABgIoI2AAAAAAAmImgDAAAAAGAigjYAAAAAACYiaAMAAAAAYCKCNgAAAAAAJiJoAwAAAABgIoI2AAAAAAAmImgDAAAAAGAigjYAAAAAACYiaAMAAAAAYCKCNgAAAAAAJiJoAwAAAABgIoI2AAAAAAAmImgDAAAAAGAigjYAAAAAACYiaAMAAAAAYKIq7i4AAHB52P87370CnobfawBwD4I2AECSlLqlhrtLAAAA8AgEbQCAJGlIs+MK83e4uwwAJtr/uzdfogGAGxC0AQCSpDB/hxoG2N1dBgAAwBWPG3cAAAAAADARQRsAAAAAABMRtAEAAAAAMBFBGwAAAAAAExG0AQAAAAAwEUEbAAAAAAATEbQBAAAAADARQRsAAAAAABMRtAEAAAAAMBFBGwAAAAAAExG0AQAAAAAwEUEbAAAAAAATVXF3AQAAAAAu3smTJ7Vnzx53l4FLLCIiQn5+fu4uA2chaAMAAAAeYM+ePRo8eLC7y8AlNmvWLN1www3uLgNnIWgDAAAAHiAiIkKzZs1ydxmX3J49ezR58mSNHTtWERER7i7nkquM+3wlIGgDAAAAHsDPz69Sn9mMiIio1PuPywtBGwAAAB4nLy9PR48edXcZuARK7kvn/vTKo1atWgoODnZ3GedF0AYAAIBHycvLU+8+vVVcVOzuUnAJTZ482d0l4BLx8fXR+wvev6zDNkEbAAAAHuXo0aMqLiqW4xaHjADD3eUAMJFXoZeK1xbr6NGjBG0AwOVv/+8Wd5cAwGSV/ffaCDCk2u6uAoCZDF0ZX54RtAGgkqtVq5Z8fXyUusXdlQD4O/j6+KhWrVruLsM9Ct1dAADTXSG/1wRtAKjkgoODteD99xk0qJKo7NPgVEZXwqBBfxfL2sp9Rh+A+xC0AQAKDg6utH+IV1ZMg4PKwH6LXQpwdxUATFV4ZXyJRtAGAACAZwoQ92gDcAuCNgAAADySV6HXFTNwEoDy8Sr0cncJ5ULQBgAAgEepVauWfHx9VLyWebQBT+Tje/kP8kjQBgAAgEcJDg7W+wsY5LGyYJDHyudKGOSRoA2cg91uV2ZmpvLz8xUUFCSr1SqL5fIfeAEAAFTOQR5PnjypPXv2uLsMXGIRERHy8/Nzdxk4C0EbKIPNZlNKSopyc3Ody0JCQpSQkKCYmBg3VgYAAFC2PXv2aPDgwe4uw20mT57s7hLcYtasWcwicRkiaANnsdlsSkpKUnR0tMaNG6eGDRsqOztb8+fPV1JSkiZOnEjYBgAAl52IiAjNmjXL3WXgEuNy+csTQRs4g91uV0pKiqKjo5WcnCxvb29JUrNmzZScnKzExETNmDFD7dq14zJyAABwWfHz8+PMJnCZcGvQTklJ0csvv6zc3FzddNNNevPNN3XLLbe4syScQ2W552f79u3Kzc1V//79tWPHjlLtd9xxh1avXq3PPvusUvxDxj0/AAAAQMW5LWj/+9//1pNPPqmZM2eqTZs2euONN9S5c2dt375d9evXd1dZ5ZKXl1fpRrEsGc2xsnjxxRfP2/7KK69cokrcqzKO3nkljGIJAACAy5vbgvZrr72mwYMHa8CAAZKkmTNn6rPPPtPs2bP17LPPuqusv5SXl6dHHumtP/9kXkZ4vsr05UqJqlV9tHDh+4TtSqCyXKlztpJ9roz7LnGlDgDg0nBL0C4uLtb69es1ZswY5zJvb2/FxsYqIyOjVP+ioiIVFRU5nxcWFl6SOs/Fbre79fUB/H34/a48GJ238n2RJjE6LwDg0nBL0D506JDsdnupM0bBwcH6+eefS/WfMmWKJkyYcKnKO6/g4GDNnJmqvXv3uruUS+rPP//UoUOH3F3GJbF7926tXLlS4eHhatGihWrXrq0jR45o06ZN2rdvnzp06KAGDRq4u8xLom7duqpataq7y7ikrrnmGs5mVxKMzls5VbbbYQAA7nFFjDo+ZswYPfnkk87nhYWFCg8Pd1s9jRs3VuPGjd32+vj73XnnnUpJSdGnn37qXBYaGqpJkyYxtRfgIRidFwAA/F3cErTr1q0ri8WivLw8l+V5eXkKCQkp1d/X11e+vr6XqjxAMTExateunTIzM5Wfn6+goCBZrVam9AIAAADwl7zd8aI+Pj5q1aqVVq5c6VzmcDi0cuVKRUdHu6MkoBSLxaKoqCjFxsYqKiqKkA0AAACgXNx26fiTTz6pfv36qXXr1rrlllv0xhtv6Pfff3eOQg4AAAAAwJXIbUH7H//4hw4ePKikpCTl5uaqRYsWSktLYxAiAAAAAMAVzcswDMPdRVRUYWGhAgMDVVBQoICAAHeXAwAAAADwcBXJoW65RxsAAAAAAE9F0AYAAAAAwEQEbQAAAAAATETQBgAAAADARARtAAAAAABMRNAGAAAAAMBEBG0AAAAAAExE0AYAAAAAwEQEbQAAAAAATETQBgAAAADARARtAAAAAABMRNAGAAAAAMBEVdxdwIUwDEOSVFhY6OZKAAAAAACVQUn+LMmj53NFBu1jx45JksLDw91cCQAAAACgMjl27JgCAwPP28fLKE8cv8w4HA7t379fNWvWlJeXl7vLgQcrLCxUeHi49u3bp4CAAHeXAwAXjc81AJ6GzzVcKoZh6NixYwoLC5O39/nvwr4iz2h7e3vr6quvdncZqEQCAgL44AbgUfhcA+Bp+FzDpfBXZ7JLMBgaAAAAAAAmImgDAAAAAGAigjZwHr6+vho3bpx8fX3dXQoAmILPNQCehs81XI6uyMHQAAAAAAC4XHFGGwAAAAAAExG0AQAAAAAwEUEbAAAAAAATEbQBALiM9e/fXz179rxkr/f888/r8ccfv2SvZ4ZevXrp1VdfdXcZAC6BVatWycvLS0ePHnV3KcB5EbRxWevfv7+8vLxKPX799dcL3ubFfEA3aNDAWUP16tXVvHlzvfvuuxXejpeXl5YsWVLh9QBcGmd+9lStWlXBwcHq2LGjZs+eLYfDcUlrmTZtmubOnet8fuedd2rEiBF/y2vl5uZq2rRpeu6555zLzjwWPj4+atSokSZOnKhTp065rGuz2RQeHu5c5+wvBz788EP5+fldVCCOj49Xx44d1aRJEw0bNsy5fOzYsXrhhRdUUFBwwdsGcPFKPi/++c9/lmpLSEiQl5eX+vfvf+kL+//++9//ysfHRzfeeKPbakDlQdDGZa9Lly7KyclxeTRs2PCCtvXnn39edD0TJ05UTk6OsrKy1KdPHw0ePFjLly+/6O0CuLyUfPbs3r1by5cvV/v27TV8+HDdfffdpULm3ykwMFC1atW6JK/17rvvqm3btoqIiHBZXnIsduzYoVGjRmn8+PF6+eWXXfosXbpUPXr0OOd2e/furdTUVI0aNeqC63vjjTeUnp6uTZs2af78+Tp27Jgk6cYbb9S1116rBQsWXPC2AZgjPDxcixYt0h9//OFcdvLkSS1cuFDXXHONGyuT5s6dq4cffliFhYVas2aNW2uB5yNo47Ln6+urkJAQl4fFYpF0+g+7li1bys/PT5GRkZowYYLLH8BeXl5KTU3VPffcI39/fw0ePFjt27eXJNWuXfuCvlmtWbOmQkJCFBkZqWeeeUZ16tRRenq6s33dunXq2LGj6tatq8DAQMXExGjDhg3O9gYNGkiS7rvvPnl5eTmfl2d/AFw6JZ89V111lVq2bKnExEQtXbpUy5cvdznDfPToUQ0aNEj16tVTQECA7rrrLv3000/O9vHjx6tFixaaP3++GjRooMDAQPXq1csZEqXTZ3ubN2+uatWqKSgoSLGxsfr9998luZ4d7t+/v2w2m6ZNm+Y8y5ydna1GjRrplVdecal/06ZNFb4CaNGiRWWG5ZJjERERoSFDhig2NlaffPKJS59PPvlE99xzT6l1p06dqmHDhmnRokUaMGCAc/mdd96pYcOGacSIEapdu7aCg4M1a9Ys/f777xowYIBq1qypRo0auXyR6ePjo1OnTik+Pl7JycmqWbOms61Hjx5atGhRufcVwN+jZcuWCg8P18cff+xc9vHHH+uaa65RVFSUS1+Hw6EpU6aoYcOGqlatmm666SZ9+OGHLn0+//xzXX/99apWrZrat2+v3bt3X1BdhmFozpw56tu3rx555BG99957pfqsXr1aLVq0kJ+fn1q3bq0lS5bIy8tLmzZtcvbJyspS165dVaNGDQUHB6tv3746dOjQBdUEz0bQxhXr22+/1aOPPqrhw4dr69atevvttzV37ly98MILLv3Gjx+v++67T5s3b9aECRP00UcfSZK2b9+unJwcTZs27YJe3+Fw6KOPPtKRI0fk4+PjXH7s2DH169dP3333nX744Qddd9116tatm/OP6nXr1kmS5syZo5ycHOfz8u4PAPe56667dNNNN7n8AfnQQw/pwIEDWr58udavX6+WLVuqQ4cOOnz4sLPPzp07tWTJEi1btkzLli2TzWbTiy++KEnKyclRXFycHnvsMW3btk2rVq3S/fffL8MwSr3+tGnTFB0drcGDBzuv8Lnmmmv02GOPac6cOS5958yZozvuuEONGjUq174dPnxYW7duVevWrf+yb7Vq1VRcXOx8vmXLFh04cEB33XWXS79nnnlGkyZN0rJly3TfffeV2s68efNUt25drV27VsOGDdOQIUP00EMPqW3bttqwYYM6deqkvn376sSJE85j1bNnT3Xp0kXx8fEu27rlllu0du1aFRUVlWt/Afx9zv5Mmj17tssXbSWmTJmif/3rX5o5c6a2bNmikSNHqk+fPrLZbJKkffv26f7771ePHj20adMmDRo0SM8+++wF1fT111/rxIkTio2NVZ8+fbRo0SLnF5qSVFhYqB49eqh58+basGGDJk2apGeeecZlG0ePHtVdd92lqKgo/fjjj0pLS1NeXp4efvjhC6oJHs4ALmP9+vUzLBaL4e/v73w8+OCDhmEYRocOHYzk5GSX/vPnzzdCQ0OdzyUZI0aMcOnz9ddfG5KMI0eOVLieiIgIw8fHx/D39zeqVKliSDLq1Klj7Nix45zr2O12o2bNmsann37qUtfixYtd+pVnfwBcGv369TPuvffeMtv+8Y9/GE2aNDEMwzC+/fZbIyAgwDh58qRLn2uvvdZ4++23DcMwjHHjxhnVq1c3CgsLne2jR4822rRpYxiGYaxfv96QZOzevbtctcTExBjDhw936fPbb78ZFovFWLNmjWEYhlFcXGzUrVvXmDt3brn3eePGjYYkY+/eved8fYfDYaSnpxu+vr7GU0895ezzwgsvOD+bS9bx8fExJBkrV64s8/ViYmKMdu3aOZ+fOnXK8Pf3N/r27etclpOTY0gyMjIyDMMwDKvVaoSHhxtt2rQx2rRpY+zcudPZ96effjrvcQTw9yv5vDhw4IDh6+tr7N6929i9e7fh5+dnHDx40Lj33nuNfv36GYZhGCdPnjSqV69urF692mUbAwcONOLi4gzDMIwxY8YYTZs2dWl/5plnLujvuEceecTlb8KbbrrJmDNnjvN5amqqERQUZPzxxx/OZbNmzTIkGRs3bjQMwzAmTZpkdOrUyWW7+/btMyQZ27dvr1A98HxV3BPvgfJr3769UlNTnc/9/f0lST/99JO+//57lzO+drtdJ0+e1IkTJ1S9enVJKtfZmYoYPXq0+vfvr5ycHI0ePVrx8fEuZ4zy8vI0duxYrVq1SgcOHJDdbteJEye0d+/e8263vPsDwL0Mw5CXl5ek07+3x48fV1BQkEufP/74Qzt37nQ+b9CggctlzqGhoTpw4IAk6aabblKHDh3UvHlzde7cWZ06ddKDDz6o2rVrl7umsLAwde/eXbNnz9Ytt9yiTz/9VEVFRXrooYfKvY2S+yn9/PxKtS1btkw1atTQn3/+KYfDoUceeUTjx493ti9dulRDhw51WcdqterQoUMaN26cbrnlFtWoUaPUdq1Wq/P/LRaLgoKC1Lx5c+ey4OBgSXIeqzMvyT9btWrVJMl59huA+9SrV0/du3fX3LlzZRiGunfvrrp167r0+fXXX3XixAl17NjRZXlxcbHzEvNt27apTZs2Lu3R0dEVrufo0aP6+OOP9d133zmX9enTR++9957zFsLt27fLarW6fAbecsstLtv56aef9PXXX5f5ebZz505df/31Fa4Nnougjcuev79/mZc+Hj9+XBMmTND9999fqu3MD8mSYG6WunXrqlGjRmrUqJE++OADNW/eXK1bt1bTpk0lSf369VN+fr6mTZumiIgI+fr6Kjo62uUyy7KUd38AuNe2bducAzIeP35coaGhWrVqVal+Zw5gVrVqVZc2Ly8v5+jlFotF6enpWr16tVasWKE333xTzz33nNasWVOhgR8HDRqkvn376vXXX9ecOXP0j3/8o0Jf0JX8EXzkyBHVq1fPpa3kC08fHx+FhYWpSpX//fmQk5OjjRs3qnv37i7rXHXVVfrwww/Vvn17denSRcuXL3f5skEq+7icuazkC43yjPRecqn+2bUDcI/HHnvM+QVcSkpKqfbjx49Lkj777DNdddVVLm2+vr6m1rJw4UKdPHnSJbQbhiGHw6Fffvml3AH5+PHj6tGjh1566aVSbaGhoabVC89A0MYVq2XLltq+fXu57z8sUXI/td1uv+gawsPD9Y9//ENjxozR0qVLJUnff/+9ZsyYoW7dukk6fX/R2YNkVK1atdTrX+j+ALh0vvrqK23evFkjR46UdPr3Njc3V1WqVHEZ2LCivLy8dNttt+m2225TUlKSIiIitHjxYj355JOl+vr4+JT5+dWtWzf5+/srNTVVaWlp+uabbypUw7XXXquAgABt3bq11B+d5/rCU5I+/fRTtW3bVnXq1CnVFhERIZvN5gzbaWlppcK2WbKysnT11VeXOmsGwD26dOmi4uJieXl5qXPnzqXamzZtKl9fX+3du1cxMTFlbqNJkyalBl784YcfKlzLe++9p1GjRpUaADc+Pl6zZ8/Wiy++qBtuuEELFixQUVGRM+iXjKNTomXLlvroo4/UoEEDly8cgbIwGBquWElJSfrXv/6lCRMmaMuWLdq2bZsWLVqksWPHnne9iIgIeXl5admyZTp48KDzG9W33npLHTp0qHAdw4cP16effqoff/xRknTddddp/vz52rZtm9asWaPevXs7L2ks0aBBA61cuVK5ubk6cuTIRe0PgL9HUVGRcnNz9dtvv2nDhg1KTk7Wvffeq7vvvluPPvqoJCk2NlbR0dHq2bOnVqxYod27d2v16tV67rnnnJ8Jf2XNmjVKTk7Wjz/+qL179+rjjz/WwYMH1aRJkzL7N2jQQGvWrNHu3bt16NAhlzPj/fv315gxY3TddddV+PJKb29vxcbGulxaWR7nGm28RHh4uPNWms6dO6uwsLBC2y+vb7/9Vp06dfpbtg2g4iwWi7Zt26atW7c6Z4s5U82aNfXUU09p5MiRmjdvnnbu3KkNGzbozTff1Lx58yRJ//znP7Vjxw6NHj1a27dv18KFC11mfZCk3377TY0bN9batWvLrGPTpk3asGGDBg0apBtvvNHlERcXp3nz5unUqVN65JFH5HA49Pjjj2vbtm364osvnLM5lFxdk5CQoMOHDysuLk7r1q3Tzp079cUXX2jAgAGmnMCBZyFo44rVuXNnLVu2TCtWrNDNN9+sW2+9Va+//nqp+V/PdtVVV2nChAl69tlnFRwc7Lys6dChQy73VJZX06ZN1alTJyUlJUk6/a3pkSNH1LJlS/Xt21dPPPGE6tev77LOq6++qvT0dIWHhzvvQ7rQ/QHw90hLS1NoaKgaNGigLl266Ouvv9b06dO1dOlS5x+NXl5e+vzzz3XHHXdowIABuv7669WrVy/t2bPHeX/xXwkICNA333yjbt266frrr9fYsWP16quvqmvXrmX2f+qpp2SxWNS0aVPVq1fPZfyHgQMHqri4uMzRfctj0KBBWrRoUbku1Zak33//XStXrjxv0Jakq6++WqtWrdKhQ4f+lrB98uRJLVmyRIMHDzZ1uwAuTkBAgAICAs7ZPmnSJD3//POaMmWKmjRpoi5duuizzz5z3jZzzTXX6KOPPtKSJUt00003aebMmUpOTnbZxp9//qnt27efc3yG9957T02bNlXjxo1Ltd133306cOCAPv/8cwUEBOjTTz/Vpk2b1KJFCz333HPOv+1KbuELCwvT999/L7vdrk6dOql58+YaMWKEatWqJW9vYhVceRlGGfOHAACAK863336rDh06aN++feUO+mcyDENt2rTRyJEjFRcX95f9P/74Y40dO1Zbt269kHJNk5qaqsWLF2vFihVurQOAZ3n//fc1YMAAFRQUlLo6Efgr3FwAAMAVrqioSAcPHtT48eP10EMPXVDIlk6foX/nnXe0efPmcvWvUaNGmYMCXWpVq1bVm2++6e4yAFzh/vWvfykyMlJXXXWVfvrpJz3zzDN6+OGHCdm4IJzRBgDgCjd37lwNHDhQLVq00CeffFJqBF8AwF+bOnWqZsyYodzcXIWGhqpnz5564YUXmGIVF4SgDQAAAACAibhrHwAAAAAAExG0AQAAAAAwEUEbAAAAAAATEbQBAAAAADARQRsAAAAAABMRtAEAAAAAMBFBGwAAAAAAExG0AQAAAAAwEUEbAAAAAAAT/T+5qJTVM1zFdwAAAABJRU5ErkJggg==",
|
||
"text/plain": [
|
||
"<Figure size 1200x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Количество выбросов (по Z-оценке): 7\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 2 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"from scipy import stats\n",
|
||
"\n",
|
||
"missing_val = df2.isnull().sum()\n",
|
||
"print(\"Количество пропущеных ячеек: \\n\", missing_val)\n",
|
||
"\n",
|
||
"df2['Population 2020'] = pd.to_numeric(df2['Population 2020'].astype(str).str.replace(',', ''), errors='coerce')\n",
|
||
"df2['Density (P/Km²)'] = pd.to_numeric(df2['Density (P/Km²)'].astype(str).str.replace(',', ''), errors='coerce')\n",
|
||
"df2['Fert. Rate'] = pd.to_numeric(df2['Fert. Rate'], errors='coerce')\n",
|
||
"df2['Med. Age'] = pd.to_numeric(df2['Med. Age'], errors='coerce')\n",
|
||
"df2['Urban Pop %'] = pd.to_numeric(df2['Urban Pop %'].astype(str).str.replace('%', ''), errors='coerce')\n",
|
||
"df2['World Share'] = pd.to_numeric(df2['World Share'].astype(str).str.replace('%', ''), errors='coerce')\n",
|
||
"\n",
|
||
"# Удаление пропусков для корректного анализа\n",
|
||
"data = df2.dropna()\n",
|
||
"\n",
|
||
"# 1. Визуализация распределения данных (помогает выявить выбросы)\n",
|
||
"plt.figure(figsize=(12, 6))\n",
|
||
"sns.boxplot(data=data[['Fert. Rate', 'Density (P/Km²)', 'Med. Age']])\n",
|
||
"plt.title('Поиск выбросов с помощью Boxplot')\n",
|
||
"plt.show()\n",
|
||
"\n",
|
||
"z_scrore = np.abs(stats.zscore(data[['Fert. Rate', 'Density (P/Km²)', 'Med. Age', 'Urban Pop %', 'World Share']]))\n",
|
||
"outliers = np.where(z_scrore > 3)\n",
|
||
"print(f\"Количество выбросов (по Z-оценке): {len(outliers[0])}\")\n",
|
||
"\n",
|
||
"# Построение корреляционной матрицы для поиска зашумленности\n",
|
||
"corr_matrix = data[['Population 2020', 'Density (P/Km²)', 'Fert. Rate', 'Med. Age', 'Urban Pop %', 'World Share']].corr()\n",
|
||
"sns.heatmap(corr_matrix, annot=True, cmap='coolwarm')\n",
|
||
"plt.title('Корреляционная матрица')\n",
|
||
"plt.show()\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Из матрицы корреляции можно сделать выводы отностительно зависимости между атрибутами и выявит наиболее бесполезные их них. Признаки с низкими корреляциями, такие как Density (P/Km²), Population 2020, и World Share, могут содержать шум или не являться значимыми для текущей задачи демографического анализа. Это не обязательно означает, что эти переменные всегда шумны, но в контексте анализа они могут оказаться несущественными."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Проведем анализа остаточных ошибок, чтобы убедиться в том, что выше упомянутые атрибуты действиельно бесполезны в данном контексе."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"По итогу вышло больше количество шумов"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 96,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1200x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Среднее значение населения: 39877695.56842105\n",
|
||
"Медиана населения: 8976711.0\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"plt.figure(figsize=(12, 6))\n",
|
||
"sns.histplot(data=data['Population 2020'], kde=True, bins=30)\n",
|
||
"plt.title('Распределение населения по странам в 2020 году')\n",
|
||
"plt.xlabel('Население')\n",
|
||
"plt.ylabel('Количество стран')\n",
|
||
"plt.show()\n",
|
||
"\n",
|
||
"mean_population = data['Population 2020'].mean()\n",
|
||
"median_population = data['Population 2020'].median()\n",
|
||
"print(f\"Среднее значение населения: {mean_population}\")\n",
|
||
"print(f\"Медиана населения: {median_population}\")\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Определяем смещение. Если разница между средним и медианным значениями существенна, это может указывать на смещение. В данном случаем имеется смещение."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 110,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Просачивания данных в столбце 'Net Change' не обнаружено.\n",
|
||
"Просачивания данных в столбце 'Migrants (net)' не обнаружено.\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"C:\\Users\\salih\\AppData\\Local\\Temp\\ipykernel_13360\\2903715557.py:2: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
|
||
"Try using .loc[row_indexer,col_indexer] = value instead\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" data['Net Change'] = pd.to_numeric(data['Net Change'].astype(str).str.replace(',', ''), errors='coerce')\n",
|
||
"C:\\Users\\salih\\AppData\\Local\\Temp\\ipykernel_13360\\2903715557.py:3: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
|
||
"Try using .loc[row_indexer,col_indexer] = value instead\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" data['Migrants (net)'] = pd.to_numeric(data['Migrants (net)'].astype(str).str.replace(',', ''), errors='coerce')\n",
|
||
"C:\\Users\\salih\\AppData\\Local\\Temp\\ipykernel_13360\\2903715557.py:4: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
|
||
"Try using .loc[row_indexer,col_indexer] = value instead\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" data['Population 2020'] = pd.to_numeric(data['Population 2020'].astype(str).str.replace(',', ''), errors='coerce')\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# Приведение столбцов к числовым значениям\n",
|
||
"data['Net Change'] = pd.to_numeric(data['Net Change'].astype(str).str.replace(',', ''), errors='coerce')\n",
|
||
"data['Migrants (net)'] = pd.to_numeric(data['Migrants (net)'].astype(str).str.replace(',', ''), errors='coerce')\n",
|
||
"data['Population 2020'] = pd.to_numeric(data['Population 2020'].astype(str).str.replace(',', ''), errors='coerce')\n",
|
||
"\n",
|
||
"invalid_net_change = data[data['Net Change'] > data['Population 2020']]\n",
|
||
"invalid_migrants = data[data['Migrants (net)'] > data['Population 2020']]\n",
|
||
"\n",
|
||
"if not invalid_net_change.empty:\n",
|
||
" print(\"Просачивание данных: Прирост населения превышает текущее население в следующих строках:\")\n",
|
||
" print(invalid_net_change)\n",
|
||
"else:\n",
|
||
" print(\"Просачивания данных в столбце 'Net Change' не обнаружено.\")\n",
|
||
"\n",
|
||
"if not invalid_migrants.empty:\n",
|
||
" print(\"Просачивание данных: Мигранты превышают текущее население в следующих строках:\")\n",
|
||
" print(invalid_migrants)\n",
|
||
"else:\n",
|
||
" print(\"Просачивания данных в столбце 'Migrants (net)' не обнаружено.\")\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Тут я хочу выявить просачивание данных. Для этого хочу сравнить прирост населения и количество мигрантов с численности населения в 2020 году. Логично, если они окажутся больше общий численности населения это окажется странным. В данном случае все оказалось нормально и не какие данные не просачились."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 155,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Размер данных после удаления выбросов: (183, 11)\n",
|
||
"Обрабатываем столбец: Fert. Rate, медианное значение: 2.3\n",
|
||
"Обрабатываем столбец: Density (P/Km²), медианное значение: 83.0\n",
|
||
"Обрабатываем столбец: Med. Age, медианное значение: 30.0\n",
|
||
"Обрабатываем столбец: Urban Pop %, медианное значение: 60.0\n",
|
||
"Обрабатываем столбец: World Share, медианное значение: 0.11499999999999999\n",
|
||
"Выбросы заменены медианными значениями.\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"C:\\Users\\salih\\AppData\\Local\\Temp\\ipykernel_13360\\3365745342.py:18: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
|
||
"Try using .loc[row_indexer,col_indexer] = value instead\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" data[column] = np.where(col_z_score > 3, median_value, data[column])\n",
|
||
"C:\\Users\\salih\\AppData\\Local\\Temp\\ipykernel_13360\\3365745342.py:18: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
|
||
"Try using .loc[row_indexer,col_indexer] = value instead\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" data[column] = np.where(col_z_score > 3, median_value, data[column])\n",
|
||
"C:\\Users\\salih\\AppData\\Local\\Temp\\ipykernel_13360\\3365745342.py:18: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
|
||
"Try using .loc[row_indexer,col_indexer] = value instead\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" data[column] = np.where(col_z_score > 3, median_value, data[column])\n",
|
||
"C:\\Users\\salih\\AppData\\Local\\Temp\\ipykernel_13360\\3365745342.py:18: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
|
||
"Try using .loc[row_indexer,col_indexer] = value instead\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" data[column] = np.where(col_z_score > 3, median_value, data[column])\n",
|
||
"C:\\Users\\salih\\AppData\\Local\\Temp\\ipykernel_13360\\3365745342.py:18: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
|
||
"Try using .loc[row_indexer,col_indexer] = value instead\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" data[column] = np.where(col_z_score > 3, median_value, data[column])\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"data_no_outliers = data[(z_scores < 3).all(axis=1)]\n",
|
||
"print(f\"Размер данных после удаления выбросов: {data_no_outliers.shape}\")\n",
|
||
"\n",
|
||
"columns_to_check = ['Fert. Rate', 'Density (P/Km²)', 'Med. Age', 'Urban Pop %', 'World Share']\n",
|
||
"\n",
|
||
"for column in columns_to_check:\n",
|
||
" col_z_score = np.abs(stats.zscore(data[column]))\n",
|
||
" \n",
|
||
" median_value = data[column].median()\n",
|
||
" \n",
|
||
" print(f\"Обрабатываем столбец: {column}, медианное значение: {median_value}\")\n",
|
||
" \n",
|
||
" data[column] = np.where(col_z_score > 3, median_value, data[column])\n",
|
||
"\n",
|
||
"print(\"Выбросы заменены медианными значениями.\")\n",
|
||
"\n",
|
||
"\n",
|
||
"\n",
|
||
"\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Решили проблему с выбрасами "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"<h3>Оценка качества набора данных:</h3>\n",
|
||
"\n",
|
||
"**Информативность:** Набор данных содержит информацию о населении стран мира на 2020 год, включая демографические показатели, такие как плотность населения, прирост населения, уровень урбанизации и другие. Колонки достаточно подробные и содержат ключевые метрики.\n",
|
||
"\n",
|
||
"**Степень покрытия:** В наборе данных представлены 235 стран и зависимых территорий, что охватывает практически весь мир. Это достаточно полный охват для анализа глобального населения.\n",
|
||
"\n",
|
||
"**Соответствие реальным данным:** Данные взяты из показателей 2020 года.\n",
|
||
"\n",
|
||
"**Согласованность меток:** Имена колонок не всегда очевидны (например, \"Density (P/Km²)\", \"World Share\"). Также данные представлены в разных форматах, что требует предобработки, так как числовые значения сохранены как строки."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"<h3>Устранение проблемы пропущенных данных</h3>"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 162,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Данные после заполнения средним значением: 0 пропущенных значений осталось\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"data_filled_mean = data.copy()\n",
|
||
"\n",
|
||
"data_filled_mean[\"Migrants (net)\"] = pd.to_numeric(data_filled_mean[\"Migrants (net)\"], errors='coerce')\n",
|
||
"\n",
|
||
"mean_value = data_filled_mean[\"Migrants (net)\"].mean()\n",
|
||
"data_filled_mean[\"Migrants (net)\"] = data_filled_mean[\"Migrants (net)\"].fillna(mean_value)\n",
|
||
"print(f\"Данные после заполнения средним значением: {data_filled_mean['Migrants (net)'].isnull().sum()} пропущенных значений осталось\")\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 167,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Обучающая выборка: 114 строк\n",
|
||
"Валидационная выборка: 38 строк\n",
|
||
"Тестовая выборка: 38 строк\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"columns_to_drop = [\"Population 2020\", \"no\", \"Country (or dependency)\"]\n",
|
||
"columns_to_drop = [col for col in columns_to_drop if col in data_filled_mean.columns]\n",
|
||
"\n",
|
||
"X = data_filled_mean.drop(columns=columns_to_drop)\n",
|
||
"y = data_filled_mean[\"Population 2020\"]\n",
|
||
"\n",
|
||
"X_train, X_temp, y_train, y_temp = train_test_split(X, y, test_size=0.4, random_state=42)\n",
|
||
"X_val, X_test, y_val, y_test = train_test_split(X_temp, y_temp, test_size=0.5, random_state=42)\n",
|
||
"\n",
|
||
"print(f\"Обучающая выборка: {X_train.shape[0]} строк\")\n",
|
||
"print(f\"Валидационная выборка: {X_val.shape[0]} строк\")\n",
|
||
"print(f\"Тестовая выборка: {X_test.shape[0]} строк\")\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 168,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Распределение в обучающей выборке:\n",
|
||
" count 1.140000e+02\n",
|
||
"mean 4.809021e+07\n",
|
||
"std 1.880257e+08\n",
|
||
"min 9.792900e+04\n",
|
||
"25% 1.400362e+06\n",
|
||
"50% 9.272022e+06\n",
|
||
"75% 2.615868e+07\n",
|
||
"max 1.439324e+09\n",
|
||
"Name: Population 2020, dtype: float64\n",
|
||
"Распределение в валидационной выборке:\n",
|
||
" count 3.800000e+01\n",
|
||
"mean 2.704393e+07\n",
|
||
"std 4.201158e+07\n",
|
||
"min 1.640930e+05\n",
|
||
"25% 4.895855e+06\n",
|
||
"50% 1.052552e+07\n",
|
||
"75% 3.117359e+07\n",
|
||
"max 2.125594e+08\n",
|
||
"Name: Population 2020, dtype: float64\n",
|
||
"Распределение в тестовой выборке:\n",
|
||
" count 3.800000e+01\n",
|
||
"mean 2.807392e+07\n",
|
||
"std 5.746454e+07\n",
|
||
"min 1.067660e+05\n",
|
||
"25% 9.193338e+05\n",
|
||
"50% 5.568913e+06\n",
|
||
"75% 3.241794e+07\n",
|
||
"max 3.310027e+08\n",
|
||
"Name: Population 2020, dtype: float64\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# Проверка распределения целевой переменной в обучающей, валидационной и тестовой выборках\n",
|
||
"print(\"Распределение в обучающей выборке:\\n\", y_train.describe())\n",
|
||
"print(\"Распределение в валидационной выборке:\\n\", y_val.describe())\n",
|
||
"print(\"Распределение в тестовой выборке:\\n\", y_test.describe())\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Дисбаланс данных:\n",
|
||
"\n",
|
||
"В обучающей выборке среднее значение численности населения составляет около 48 миллионов, однако максимальное значение достигает 1.44 миллиарда, что указывает на значительный разброс данных.\n",
|
||
"Стандартное отклонение в обучающей выборке очень велико (188 миллионов), что указывает на присутствие значительного числа стран с огромным населением (например, Китай и Индия), наряду с малонаселёнными странами.\n",
|
||
"В валидационной и тестовой выборках также наблюдается высокий разброс, хотя их максимальные значения намного ниже (212 и 331 миллионов соответственно)."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Методы приращения данных могут быть полезный, поэтому я ими воспользуюсь"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 172,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Размер обучающей выборки после Oversampling: 114 строк\n",
|
||
"Размер обучающей выборки после Undersampling: 114 строк\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"from imblearn.over_sampling import RandomOverSampler\n",
|
||
"from imblearn.under_sampling import RandomUnderSampler\n",
|
||
"\n",
|
||
"# Oversampling (увеличение выборки) для обучающих данных\n",
|
||
"ros = RandomOverSampler(random_state=42)\n",
|
||
"X_train_res, y_train_res = ros.fit_resample(X_train, y_train)\n",
|
||
"print(f\"Размер обучающей выборки после Oversampling: {X_train_res.shape[0]} строк\")\n",
|
||
"\n",
|
||
"# Undersampling (уменьшение выборки) для обучающих данных\n",
|
||
"rus = RandomUnderSampler(random_state=42)\n",
|
||
"X_train_res_under, y_train_res_under = rus.fit_resample(X_train, y_train)\n",
|
||
"print(f\"Размер обучающей выборки после Undersampling: {X_train_res_under.shape[0]} строк\")\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"<h1>3 Датасет - Данные о миллионерах</h1>"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 189,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Index(['Name', 'Networth', 'Age', 'Country', 'Source', 'Industry'], dtype='object') \n",
|
||
"\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"df3 = pd.read_csv(\"..//static//csv//Forbes Billionaires.csv\", index_col=\"Rank \")\n",
|
||
"\n",
|
||
"print(df3.columns, \"\\n\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Основные столбцы:</br>\n",
|
||
"**Rank:** Ранг миллиардера</br>\n",
|
||
"**Name:** Имя миллиардера</br>\n",
|
||
"**Networth:** Состояние миллиардера (в миллиардах долларов)</br>\n",
|
||
"**Age:** Возраст миллиардера</br>\n",
|
||
"**Country:** Страна проживания миллиардера</br>\n",
|
||
"**Source:** Основной источник дохода</br>\n",
|
||
"**Industry:** Отрасль, к которой относится основная деятельность миллиардера</br>"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"<h2>Проблемная область<h2>"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Данный набор данных относится к анализу благосостояния, его распределению по возрастам, странам и отраслям. Проблемная область связана с миллионерами и с изучением неравенства богатства, выявлением тенденций в источниках доходов и влиянии различных факторов на накопление капитала."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"<h3> Анализ содержимого<h3>"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"- **Объекты наблюдения:** Миллиардеры\n",
|
||
"- **Атрибуты объектов:** Ранг, имя, состояние, возраст, страна, источник дохода, отрасль\n",
|
||
"- **Связи между объектами:** Можно выявить связи между возрастом и состоянием, страной проживания и источником дохода, а также отраслью и уровнем благосостояния."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 206,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1000x600 with 4 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"import seaborn as sns\n",
|
||
"\n",
|
||
"plt.figure(figsize=(10, 6))\n",
|
||
"\n",
|
||
"# Связь между возрастом и состоянием\n",
|
||
"plt.subplot(2, 2, 1)\n",
|
||
"sns.scatterplot(data=df3, x='Age', y='Networth')\n",
|
||
"plt.title('Связь между возрастом и состоянием')\n",
|
||
"plt.xlabel('Возраст')\n",
|
||
"plt.ylabel('Состояние (млрд)')\n",
|
||
"\n",
|
||
"# Связь между страной проживания и состоянием (топ-10 стран)\n",
|
||
"plt.subplot(2, 2, 2)\n",
|
||
"top_countries = df3['Country'].value_counts().index[:10]\n",
|
||
"sns.boxplot(data=df3[df3['Country'].isin(top_countries)], x='Country', y='Networth')\n",
|
||
"plt.title('Связь между страной проживания и состоянием')\n",
|
||
"plt.xticks(rotation=90)\n",
|
||
"plt.xlabel('Страна')\n",
|
||
"plt.ylabel('Состояние (млрд)')\n",
|
||
"\n",
|
||
"# Связь между источником дохода и состоянием (топ-10 источников дохода)\n",
|
||
"plt.subplot(2, 2, 3)\n",
|
||
"top_sources = df3['Source'].value_counts().index[:10]\n",
|
||
"sns.boxplot(data=df3[df3['Source'].isin(top_sources)], x='Source', y='Networth')\n",
|
||
"plt.title('Связь между источником дохода и состоянием')\n",
|
||
"plt.xticks(rotation=90)\n",
|
||
"plt.xlabel('Источник дохода')\n",
|
||
"plt.ylabel('Состояние (млрд)')\n",
|
||
"\n",
|
||
"# Связь между отраслью и состоянием (топ-10 отраслей)\n",
|
||
"plt.subplot(2, 2, 4)\n",
|
||
"top_industries = df3['Industry'].value_counts().index[:10]\n",
|
||
"sns.boxplot(data=df3[df3['Industry'].isin(top_industries)], x='Industry', y='Networth')\n",
|
||
"plt.title('Связь между отраслью и состоянием')\n",
|
||
"plt.xticks(rotation=90)\n",
|
||
"plt.xlabel('Отрасль')\n",
|
||
"plt.ylabel('Состояние (млрд)')\n",
|
||
"\n",
|
||
"plt.tight_layout()\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Тут для наглядности вывел графики зависимостей"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"<h3>Примеры бизнес-целей<h3>"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
" 1. Бизнес может использовать эти данные для анализа того, какие отрасли являются наиболее прибыльными и перспективными.\n",
|
||
" 2. Компании могут использовать эти данные для анализа возрастных моделей накопления капитала, что помогает лучше планировать инвестиции и маркетинг.\n",
|
||
" 3. Бизнес может понять, какие страны являются наиболее подходящими для инвестиций и предпринимательства."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"<h3>Цели технического проекта<h3>"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"1. Вход: Данные по состоянию и источникам доходов.<br>\n",
|
||
"Целевой признак: Отрасль, состояние.\n",
|
||
"\n",
|
||
"2. Вход: Данные по возрасту и состоянию.<br>\n",
|
||
"Целевой признак: Возраст, состояние.\n",
|
||
"\n",
|
||
"3. Вход: Данные по странам и состоянию.<br>\n",
|
||
"Целевой признак: Страна, состояние."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"<h3>Выявляем проблемы(и решаем их)<h3>"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 225,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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55JGoVatWPPvss1k3pr/zzjuz2tCxY8coLi6Ot99+O3r06FGm/m5L48aNY9CgQXHvvffGkCFD4qWXXoq//OUv37heqIhcGUWVt2HDhpg4cWLk5+dnLnvempLP1m96L4ASRx99dBQUFMQNN9yQ9Rn8e++9NxYuXJj1n1zE1wufsWPHZn4vLCyMsWPHRtOmTePggw+OiIjjjjsuFixYEA888EDWcTfeeGPUq1cv83n5E088MZIkid/97nel2rW9d2e21advqlevXtGsWbMYM2ZM1kfTnn766XjnnXeyvmlkS0488cT4z3/+E3//+99L7SvpVxpjtLmynjMiYsWKFXHGGWfE9773vbjsssuif//+0bJlyx0635Zcf/31sXr16hgxYkSZyjdt2jQOOuig+Nvf/hZffvllZvuHH34YTzzxRAwcOHC3PAYAoCKzDqy468CtWbt2baa+li1bRo8ePeLuu++OZcuWZcq8+eabMXHixDjuuOO2Wk9RUVEsXbp0i7dPuOmmmzL/TpIkbrrppqhZs2YcffTREfH1eOXk5GTdb/Ojjz6Kxx57LKue73//+5GbmxtXXHFFqXt07ewVVGeccUa8/fbb8ctf/jLy8vLi1FNP3al6oKJzZRRVztNPP515R2nRokXxt7/9Ld5///249NJLo0GDBlll58yZE88880zmHY1rr702DjnkkNhrr71K1du4ceO47LLL4re//W0ce+yxMXjw4Jg7d27cdNNN0b179zj77LOzyrdq1Squvvrq+Oijj2LfffeNBx54IGbPnh233XZb1KxZMyK+vjx87NixMXTo0Jg1a1a0a9cuHn744cy7IPXr14+IiKOOOirOOOOMuOGGG+L999+PAQMGRHFxcbzwwgtx1FFHZd2E8ZNPPolnnnkmkiSJefPmxZVXXhlt27aNnj17bvU+CDurZs2acfXVV8ePf/zj6Nu3b5x22mmZr/Rt165dXHzxxds8/pe//GU8/PDDcdJJJ8VZZ50VBx98cCxZsiSeeOKJGDNmTHTv3n23jNH2lPWcERHDhw+PtWvXlvr6429q4sSJceWVV5b55ugREddcc03mq4qHDRsWGzdujJtuuilq1aoVV1555S5tHwBURNaBlWcdWOKxxx6LJk2axLp16+L555+PF154IS666KLM/muvvTYGDhwYffr0iZ/85Cexdu3auPHGG6Nhw4Zx+eWXZ8odeeSR0a9fv2jTpk2sWrUqHn744Xjttdfij3/8Y9b5atWqFc8880yceeaZ0bt373j66afjH//4R/zmN7+Jpk2bRsTXN2H/05/+FAMGDIgf/vCHsWjRorj55ptjn332iddffz1T1z777BMjRoyI3//+93HEEUfED37wgygoKIiZM2dGq1atYvTo0Ts8roMGDYo999wzHnrooRg4cGA0a9Zsh+uASqE8vsIPdoctfaVvrVq1kh49eiS33npr1tehlnylb8lPbm5u0rp16+TMM89MPvvssyRJSn+lb4mbb7456dy5c1KzZs2kefPmybBhw7K+ajZJvv5K3wMOOCB55ZVXkj59+iS1atVK2rZtm9x0002l6lu4cGHy4x//OGnSpEmSn5+fdO3aNbnzzjtLldu4cWNy7bXXJp07d07y8/OTpk2bJgMHDkxmzZqVKbNpn3JycpIWLVokP/jBD5J33nkna4x21Vf6lnjggQeSnj17JgUFBUnjxo2TIUOGZMZxe7766qvk/PPPT/baa68kPz8/Mw+LFy/eLWNUYntjUZZz3nfffUlOTk7yzDPPZG3ffPy29RXSBxxwQNK3b9/M7yVf+duyZctk9erVWWUjIhk1atQ2+/Dcc88lhx12WFKrVq2kfv36yXHHHZe8/vrrW+wjAFQV1oGVbx24+Zzl5+cn++yzTzJy5Mhk3bp1WWWfe+655PDDD09q166dNGjQIPnud7+bvP3221llzj333KR9+/aZdnzrW99K7r777i327cMPP0yOOeaYpE6dOknz5s2TUaNGJUVFRVllx40bl3Tq1CkpKChIOnfunNx5551bfVzccccdmTHYY489kr59+yaTJk0qVa5knbf5GG7uvPPOSyIi+dvf/rbNclCZ5STJbrwDG1RT/fr1i8WLF2/3fkgAAFQt1oEV19ChQ+Phhx8udf+wiubiiy+OcePGxYIFC6JOnTrl3RzYLdwzCgAAACqAdevWxfjx4+PEE08URFGluWcUAAAAlKNFixbFc889Fw8//HB89dVXceGFF5Z3k2C3EkYBAABAOXr77bdjyJAh0axZs7jhhhuiR48e5d0k2K3cMwoAAACA1LhnFAAAAACpEUYBAAAAkJqdvmdUcXFxzJ8/P+rXrx85OTm7sk0AQBWVJEmsXLkyWrVqFbm53hOrqKzzAIAdtSPrvJ0Oo+bPnx977733zh4OAFRjn376abRu3bq8m8FWWOcBADurLOu8nQ6j6tevnzlJgwYNdrYaAKAaWbFiRey9996ZdQQVk3UeALCjdmSdt9NhVMkl2w0aNLBIAQB2iI9+VWzWeQDAzirLOs/NGgAAAABIjTAKAAAAgNQIowAAAABIjTAKAAAAgNQIowAAAABIjTAKAAAAgNQIowAAAABIjTAKAAAAgNQIowAAAABIjTAKAAAAgNQIowAAAABIjTAKAAAAgNQIowAAAABIjTAKAAAAgNQIowAAAABIjTAKAAAAgNQIowAAAABIjTAKAAAAgNQIowAAAABIjTAKAAAAgNQIowAAAABIjTAKAAAAgNQIowAAAABIjTAKAAAAgNQIowAAAABIjTAKAAAAgNQIowAAAABIjTAKAAAAgNQIowAAAABIjTAKAAAAgNQIowAAAABIjTAKAAAAgNQIowAAAABIjTAKAAAAgNTUKO8GbM/ChQtj+fLlW9zXsGHDaN68ecotAgAAqFi29bqJysHrW6qTCh1GLVy4ME4/40exoXD9FvfXzC+I8ff81RMWAACotrb3uonKwetbqpMKHUYtX748NhSuj3V7HRS1Pn811rY/MoprN4qIiNx1yyPmTonly5d7sgIAANVWyeumtR36RnGthuXdnF0md+2yqD1vatbrwKrK61uqmwodRpVI8utFRERx7UZRXLdJObcGAACg4imu1bBKvl7yOhCqHjcwBwAAACA1wigAAAAAUiOMAgAAACA1wigAAAAAUiOMAgAAACA1wigAAAAAUiOMAgAAACA1wigAAAAAUiOMAgAAACA1wigAAAAAUiOMAgAAACA1wigAAAAAUiOMAgAAACA1wigAAAAAUiOMAgAAACA1wigAAAAAUiOMAgAAACA1wigAAAAAUiOMAgAAACA1wigAAAAAUiOMAgAAACA1wigAAAAAUiOMAgAAACA1wigAAAAAUiOMAgAAACA1wigAAAAAUiOMAgAAACA1wigAAAAAUiOMAgAAACA1wigAAAAAUiOMAgAAACA1wigAAAAAUiOMAgAAACA1wigAAAAAUiOMAgAAACA1wigAAAAAUiOMAgAAACA1wigAAAAAUiOMAgAAACA1wigAAAAAUiOMAgAAACA1wigAAAAAUiOMAgAAACA1wigAAAAAUiOMAgAAACA1wigAAAAAUiOMAgAAACA1wigAAAAAUiOMAgAAACA1wigAAAAAUiOMAgAAACA1wigAAAAAUiOMAgAAACA1wigAAAAAUiOMAgAAACA1wigAAAAAUiOMAgAAACA1wigAAAAAUiOMAgAAACA1wigAAAAAUiOMAgAAACA1wigAAAAAUiOMAgAAACA1wigAAAAAUiOMAgAAACA1wigAAAAAUiOMAgAAACA1wigAAAAAUiOMAgAAACA1wigAAAAAUiOMAgAAACA1wigAAAAAUiOMAgAAACA1FTaMWrduXXz88ce7pJ733nsv1q1btwtaBQBAdWZtCUBlVZH+D6uwYdQnn3wSV1555S6p55xzzolPPvlkF7QKAIDqzNoSgMqqIv0fVmHDKAAAAACqHmEUAAAAAKkRRgEAAACQGmEUAAAAAKkRRgEAAACQGmEUAAAAAKkRRgEAAACQGmEUAAAAAKkRRgEAAACQGmEUAAAAAKkRRgEAAACQGmEUAAAAAKkRRgEAAACQGmEUAAAAAKkRRgEAAACQGmEUAAAAAKkRRgEAAACQGmEUAAAAAKkRRgEAAACQGmEUAAAAAKkRRgEAAACQGmEUAAAAAKkRRgEAAACQGmEUAAAAAKkRRgEAAACQGmEUAAAAAKkRRgEAAACQGmEUAAAAAKkRRgEAAACQGmEUAAAAAKkRRgEAAACQGmEUAAAAAKkRRgEAAACQGmEUAAAAAKkRRgEAAACQGmEUAAAAAKkRRgEAAACQGmEUAAAAAKkRRgEAAACQGmEUAAAAAKkRRgEAAACQGmEUAAAAAKkRRgEAAACQGmEUAAAAAKkRRgEAAACQGmEUAAAAAKkRRgEAAACQGmEUAAAAAKkRRgEAAACQGmEUAAAAAKkRRgEAAACQGmEUAAAAAKkRRgEAAACQGmEUAAAAAKkRRgEAAACQGmEUAAAAAKkRRgEAAACQGmEUAAAAAKkRRgEAAACQGmEUAAAAAKkRRgEAAACQGmEUAAAAAKkRRgEAAACQGmEUAAAAAKkRRgEAAACQGmEUAAAAAKkRRgEAAACQGmEUAAAAAKkRRgEAAACQGmEUAAAAAKkRRgEAAACQmhrl3YDdaf78+fHzn/88IiLOOeecXVZvXl5etGjRIgoKCmLlypWxbt26yM3NjXr16sXatWujqKgoiouLo6ioKJIkicLCwqhZs2Y0a9YsTjzxxCgsLIxGjRpF3bp1Y8KECfHFF19E7dq1o3nz5rFhw4Y44IADYp999onFixfHiy++GGvWrInCwsKoX79+bNiwIfbdd9/o1atXdOnSJSZMmBDz58+PFi1aRIcOHWLZsmXx1VdfxQcffBDr1q2Lrl27xgknnBD5+fkREVFUVBSvv/56LF68OJYtWxaNGjWKJk2aRLdu3SIitrlv9uzZMXv27IiI6NGjR3Tt2jXeeuutLZbPy8vb4tiVnH/JkiXRuHHjrZYtKiqKV199NSZOnBhr164t1Y/NFRYWxqOPPhovvvhiRER06NAh9t9//1i1alWZ2rU1ZW3vlo7bfLx69Oixw+fftA2LFy+OJUuWxIoVKyI3N/cb1bmztvX42bwdOzt2u+r48q6/oku7/9V9vCsL80QaKtrjbO3atTF27Nj47LPPonXr1jFs2LDIy8uLxx9/PObPnx+tWrWKwYMHb3UNAgDsuCobRn3nO9+JDRs27Ja6i4qK4vPPPy+1ffny5ds85pNPPok///nPWy3z9ttvR0RkApWtmTVrVtx3331lauuLL74YY8eOjZNPPjm6dOkSt9xySyxYsKBUuUaNGkVExLJly7a4r7CwMNasWZPZds8990Rubm4UFxeXKt+iRYs477zz4sgjj8zaPnXq1FLn31LZqVOnxtVXXx2rV6/eYj9+9rOfZdU7ZsyYeOCBByJJksy2N998M5544okytWtrytreLR33pz/9KWss77nnnmjUqFFccsklZT7/1trwTevcWdtqy+bjsrNjt61z7ej8lWf9FV3a/a/u411ZmCfSUNEeZyNGjIiXXnop8/srr7wSjz32WKlyY8aMiZNOOqnUGgQA2DlV8mN6uzOI2l1yc8s+FTk5OaW2NW/ePPPvGjVqRPv27SMnJyeaN28excXFcf/998fIkSOjYcOGERHRu3fv+MUvfhG9e/eOiK9DqJLwZEv71qxZE23atInrrrsuhg4dGhGRCaI6deqUKZ+TkxMNGzaMUaNGxdSpUzNtmjp1aowaNSo6dOgQN998czz11FNx8803R4cOHbLKTp06NUaOHBmrV6+O+vXrxwUXXBCjR4+Ojh07ZvoxZsyYTL1jxoyJ+++/P5Ikybxj2bRp06yxadmy5VbbtTVlbe/Wjlu2bFl07do1rrvuuvjTn/4UXbt2jWXLlsXIkSPLdP5N6yqZs4iIjh07RpcuXSInJyfatGmzw3XurM3bsuljZPOx3dmx2/xcO3t8Wfuyu+qv6NLuf3Uf78rCPJGGivY4KwmiatasGT/84Q9j/Pjx0blz58z+jh07xiOPPBK/+MUvokGDBqXWIADAzstJNr2cZAesWLEiGjZsGMuXL48GDRrs6nbFe++9l/lo3dr2R0bteVNjdZfvRXHdJhERkbt6cdR9+4m47bbbYt99980cN3/+/PjhD3+4y9uzO+Xl5UXTpk1jw4YN8dVXX5Xan5ubGw0bNoyCgoJYvHhxbNy4MWt/fn5+NGzYML788svIycmJ3Nzc+Mc//hFXXHFFzJs3L9q0aRMzZsyIiK+Dmk6dOsX//u//Rm5ubmzYsCGOP/74iPg6XMrNzY0JEyZEzZo1M/vWr18fjRo1itq1a8fdd98dP/rRj6Jdu3bx6quvxsaNG6NZs2Zx7733Rk5OTlx22WUxb968aNeuXXz00Ucxfvz4iIgYMmRIdOjQIXPeEsXFxZlj7r777jjjjDNi4cKF0ahRo3j44YejRo0amXIjRozI9OOZZ56JiIgBAwZEcXFxZnw6duwYc+fOjfbt28ecOXNi6dKlkZOTE717946PP/44q13b+ihhWdq7eR0lxy1dujQOOuiguPLKKzPHlrT/1VdfjT322CPuvffebX4koaSu9u3bx9y5c2PZsmWZOiMi04a2bdvGa6+9VqY6d9bmbenYsWNmXDYdj5KxLS4uzipTlrHb/Fw7OvY72pfdVX9Fl3b/q/t4VxZpz9PuXj+wa+zqeapofw/Wrl0bAwcOjJo1a8Y//vGPyM/Pj8LCwhg4cGDUr18/Vq1aFRs3boynn346ateuHRs3boyTTjopVqxYETfeeGOcd955pdagUJ5KXjtt+nqpKih5zVfV+rUlW3t9C7tSyd+K3fU425H1Q5k/prd+/fpYv3591kkqgo8//jjr94suuqh8GvIN9OvXL/75z39GxNdh0Zdffhl16tTJfCyuuLg4zjrrrLjuuutin332iQ8++CBat24dn332WUR8fb+kL7/8MiIi+vfvH5MmTYonn3wyhgwZEsOHD4/DDjssE+J8+eWXcfnll2cWgW+++WbWvJZs69mzZ9a+Y445Jh588MF4/PHHY8GCBXHKKafE9OnTIyJiwYIF8frrr0fPnj0z5zz55JNj2rRp8frrr2fK/Pa3vy11BVhubm7mmMcffzwWLlwYERFnn312JogqKXf66afHtGnTIiLi8ccfz4xNRMSxxx4bDz74YJx22mkxbdq0GDlyZMydOzeuu+66SJIk9tprr5g+fXpWu3r27LnF+Xj99dfL1N7N6yg5LiLi9NNPzzp20/ZvOl5bU1LXKaeckunzpnVuOs7Tp08vU507a/O2jBw5MtOOTcejZGwjIqvMpmOwtbHb/Fw7OvY72pfdVX9Fl3b/q/t4VxbmiYjdv86raI+zsWPHRkTESSedlLmy+vHHH4+ioqI4++yz4/PPP4/77rsvxo4dGxdddFHUqFEjsxabPHlyRJReg0J58nisOswlu1NFenyVOYwaPXp0/O53v9udbdkpJVeKVGb77bdfJoxq1KhR5gqnTfXp0yciImrVqhURsdWU8eSTT45JkybF/PnzY9CgQRERpcKm9u3bZ/69ZMmSUnWUbNt0X6tWrSLi6yvPNm3H5seU1F1QUFCqjk3Pu6X2lNQd8f/6u7V2b1o2ImKvvfbKalf79u2zPrpYMgZbatfmNu/L1tqxeR3b6+v2xn1LdW06zpsev/k4l6XOnbV5Wzbv25basqNjt/m5dvb47dnd9Vd0afe/uo93ZWGeiNj967yK9jgreUPvuOOOy2wrWVv06dMn1qxZE/fdd1+mXMn2iMi8AVgV1qBAxeNvC9VFmcOoX//613HJJZdkfl+xYkXsvffeu6VRO2LEiBHRtm3bzO8XXXRR1o22K4M5c+Zk/l1y36bNPz1ZcsXJunXrImLr71g++OCDEfF1eDRv3ryIyA4JIiLmzZsXBxxwQERENG7cuFQdJds23VeyQCsJpUrasfkxJecsCX82rWPT827enk3rLulvyccHNy+3edmIyNxQvqRd8+bNi7lz52b2l4zBltq1uU37sq32bl7H9vq6afu3df5N9286zpvWufk4l6XOnbV5Wzbv25basqNjt/m5dvb47dnd9Vd0afe/uo93ZWGeiNj967yK9jhr3bp1vPLKK/HUU09lbgtRsraYNm1aZl3RunXrzDEla7GSe1NuvgaF8vTxxx8LMaoIf1vYnSrS34oyh1EFBQWlQo2KoG3btlmfdbz99tsr3T2jJk+eHC1atIgNGzZk3m3bNFDLzc2NO+64I1q0aBEfffRRRETWO3Wb3jPqueeei7y8vPjud78bV1xxRbRs2TKrbNOmTePee+/N3K/hwAMPzMxryT2jDjzwwIiIzL7169fHxIkTo2XLljF48OB45JFHYsaMGZGfn5+5Z1S3bt2iuLg47r333mjZsmW8/PLL0bJly+jWrVtEfP1NOZuet8SmxwwePDgefvjhWLhwYdx+++0xYMCArHtGjR8/PnPs4MGDIyLi1ltvjeLi4nj22WejWbNm8fLLL0fz5s3jnnvuyYR8OTk58fnnn2+xXVvSrVu3MrV38zpKjlu6dGmMHz++1D2jxo8fHwUFBbHHHnts8/yb1lXSn2XLlmXqjIhMG2bMmFHmOnfW5m3ZdFy2NOcl23Zk7DY/184eX9a+7K76K7q0+1/dx7uyME9E7P51XkV7nA0bNiwee+yxeOihh2Lo0KGRn58fgwcPjjFjxsTtt98eq1atypSLiNi4cWPccccdkZeXF/369YsHH3yw1BoUYFfwt4Xqosp9m16rVq2iZs2a5d2MHVJUVBSLFi3a4s3LI75epC1dujQWLFgQGzduLPURvsLCwsyiLkmSyMnJiXPPPTemTZsWxcXFmftFRXz9juO///3v+PWvfx1PPvlkXHbZZZn7RGzYsCHWr18fl112Wda+iK+v2KpZs2a88cYbceyxx8b06dOjsLAwiouLo379+vHUU0/Fr3/965g2bVo0aNAgpk+fHueee27k5eVFXl5enHfeeTFt2rS47LLL4q233oo1a9bEW2+9FZdddllMmzYtzj333MjPz4/hw4dnznfCCSfEI488Ei+99FKcffbZmf6cfPLJkZ+fH/n5+XHyySdHRMTy5ctj2bJlMW3atCgqKorp06fH0qVLI+LrIGzGjBml2rU1ZW3v5nWUHFdYWBjTpk2LCy+8MGbNmhWzZs2KCy+8MKZNmxbr16+P8847b7s3Zy2pa/r06dGoUaNYv359TJs2Lc4+++w4//zzY9q0aVGzZs2YPn16mevcWZu3ZdPHz5bmfPjw4Ts8dpufa2ePL2tfdlf9FV3a/a/u411ZmCfSUNEeZ7Vr147DDz88NmzYEIMGDYqxY8fGwoULo1OnTrFs2bLYuHFjdOzYMVavXh1PPvlknHTSSbF06dI46aSTsu5pCQDsnCr3bXolvvOd78SGDRt2ebsqo9zc3Dj55JOjS5cuccstt2Rusr2pPfbYI5IkyXxMcPN969evL/Xxx5IrYzbXsmXLOPfcc+PII4/M2j516tRS599S2alTp8bVV18dq1ev3mI/fvazn2VtHzNmTDzwwAOlPtpY1nZtTVnbu6Xj/vSnP5Uay0aNGsUll1xS5vNvrQ3ftM6dta22bD4uOzt22zrXjs5fedZf0aXd/+o+3pVFWvPk2/Qqh901TxXt78GIESPipZde2m65vLy8OOmkk+JnP/vZbv8mItgZvk2v8vNteqShIn2bXpUNoyK+vs/Rj3/841I38P6m8vLyokWLFlFQUBArV66MdevWRW5ubtSrVy/Wrl0bRUVFUVxcHEVFRZEkSRQWFkbNmjWjWbNmceKJJ0ZhYWE0atQo6tatGxMmTIgvvvgiateuHc2bN48NGzbEAQccEPvss08sXrw4XnzxxVizZk0UFhZG/fr1Y8OGDbHvvvtGr169okuXLjFhwoSYP39+tGjRIjp06BDLli2Lr776Kj744INYt25ddO3aNU444YTMN8UUFRXF66+/HosXL45ly5ZFo0aNokmTJpnL4re1b/bs2TF79uyIiOjRo0d07do13nrrrS2W39o7myXnX7JkSTRu3HirZYuKiuLVV1+NiRMnxtq1a0v1Y3OFhYXx6KOPxosvvhgRER06dIj9998/Vq1aVaZ2bU1Z27ul4zYfrx49euzUO76bztmSJUtixYoVkZub+43q3Fnbevxs3o6dHbtddXx511/Rpd3/6j7elUUa8ySMqhx25zxVtL8Ha9eujbFjx8Znn30WrVu3jmHDhkVeXl48/vjjMX/+/GjVqlUMHjw4swYRRlERCaMqP2EUaahIYVSVvs64VatWceONN1boBcNhhx22zf0DBw7c5v6TTjpph86Xl5e3za9M3ta+gw8+OA4++OAyl9+Z829a7pBDDolDDjmkTPXm5+fHqaeeGqeeeuoOtacs7diZr5jOy8vb4nil2YbdYUfa8k3bvbv7XZHGtTyk3f/qPt6VhXkiDRXtcVa7du246KKLSm3f0TUWAFB2Ve6eUQAAAABUXMIoAAAAAFIjjAIAAAAgNcIoAAAAAFIjjAIAAAAgNcIoAAAAAFIjjAIAAAAgNcIoAAAAAFIjjAIAAAAgNcIoAAAAAFIjjAIAAAAgNcIoAAAAAFIjjAIAAAAgNcIoAAAAAFIjjAIAAAAgNcIoAAAAAFIjjAIAAAAgNcIoAAAAAFIjjAIAAAAgNcIoAAAAAFIjjAIAAAAgNcIoAAAAAFIjjAIAAAAgNcIoAAAAAFIjjAIAAAAgNcIoAAAAAFIjjAIAAAAgNcIoAAAAAFIjjAIAAAAgNcIoAAAAAFIjjAIAAAAgNcIoAAAAAFIjjAIAAAAgNcIoAAAAAFIjjAIAAAAgNcIoAAAAAFIjjAIAAAAgNcIoAAAAAFIjjAIAAAAgNcIoAAAAAFIjjAIAAAAgNcIoAAAAAFIjjAIAAAAgNcIoAAAAAFIjjAIAAAAgNcIoAAAAAFIjjAIAAAAgNcIoAAAAAFIjjAIAAAAgNcIoAAAAAFIjjAIAAAAgNcIoAAAAAFIjjAIAAAAgNcIoAAAAAFIjjAIAAAAgNcIoAAAAAFIjjAIAAAAgNcIoAAAAAFIjjAIAAAAgNcIoAAAAAFIjjAIAAAAgNcIoAAAAAFIjjAIAAAAgNcIoAAAAAFIjjAIAAAAgNcIoAAAAAFIjjAIAAAAgNcIoAAAAAFIjjAIAAAAgNcIoAAAAAFIjjAIAAAAgNRU2jGrTpk2MGDFil9Rz2223RZs2bXZBqwAAqM6sLQGorCrS/2E1yrsBW1OrVq1o27btLqln33333QUtAgCgurO2BKCyqkj/h1XYK6MAAAAAqHqEUQAAAACkRhgFAAAAQGqEUQAAAACkRhgFAAAAQGqEUQAAAACkRhgFAAAAQGqEUQAAAACkRhgFAAAAQGqEUQAAAACkRhgFAAAAQGqEUQAAAACkRhgFAAAAQGqEUQAAAACkRhgFAAAAQGqEUQAAAACkRhgFAAAAQGqEUQAAAACkRhgFAAAAQGqEUQAAAACkRhgFAAAAQGqEUQAAAACkRhgFAAAAQGqEUQAAAACkRhgFAAAAQGqEUQAAAACkRhgFAAAAQGqEUQAAAACkRhgFAAAAQGqEUQAAAACkRhgFAAAAQGqEUQAAAACkRhgFAAAAQGqEUQAAAACkRhgFAAAAQGqEUQAAAACkRhgFAAAAQGqEUQAAAACkRhgFAAAAQGqEUQAAAACkRhgFAAAAQGqEUQAAAACkRhgFAAAAQGqEUQAAAACkRhgFAAAAQGqEUQAAAACkRhgFAAAAQGqEUQAAAACkRhgFAAAAQGqEUQAAAACkRhgFAAAAQGqEUQAAAACkRhgFAAAAQGqEUQAAAACkRhgFAAAAQGqEUQAAAACkRhgFAAAAQGqEUQAAAACkRhgFAAAAQGqEUQAAAACkRhgFAAAAQGqEUQAAAACkRhgFAAAAQGqEUQAAAACkRhgFAAAAQGqEUQAAAACkRhgFAAAAQGqEUQAAAACkRhgFAAAAQGqEUQAAAACkRhgFAAAAQGqEUQAAAACkRhgFAAAAQGpqlHcDyiKncFVEROSuXZbZlrtueTm1BgAAoOKpaq+RSl7/bfo6sKqqanMH21Ohw6iGDRtGzfyCiM9fjYiI2vOmZu2vmV8QDRs2LI+mAQAAVAiZ101zp5R3U3aLzV8HVlVe31KdVOgwqnnz5jH+nr/G8uVbTokbNmwYzZs3T7lVAAAAFcf2XjdROXh9S3VSocOoiK//sHpCAgAAbJ3XTUBl4gbmAAAAAKRGGAUAAABAaoRRAAAAAKRGGAUAAABAaoRRAAAAAKRGGAUAAABAaoRRAAAAAKRGGAUAAABAaoRRAAAAAKRGGAUAAABAaoRRAAAAAKRGGAUAAABAaoRRAAAAAKRGGAUAAABAaoRRAAAAAKRGGAUAAABAaoRRAAAAAKRGGAUAAABAaoRRAAAAAKRGGAUAAABAaoRRAAAAAKRGGAUAAABAaoRRAAAAAKRGGAUAAABAaoRRAAAAAKRGGAUAAABAaoRRAAAAAKRGGAUAAABAaoRRAAAAAKRGGAUAAABAaoRRAAAAAKRGGAUAAABAaoRRAAAAAKRGGAUAAABAaoRRAAAAAKSmxs4emCRJRESsWLFilzUGAKjaStYNJesIKibrPABgR+3IOm+nw6iVK1dGRMTee++9s1UAANXUypUro2HDhuXdDLbCOg8A2FllWeflJDv51mRxcXHMnz8/6tevHzk5OTvVwC1ZsWJF7L333vHpp59GgwYNdlm97F7mrXIyb5WTeauczNvXkiSJlStXRqtWrSI3190CKqrdtc7bnur0PKlOfY2oXv3V16qpOvU1onr1V193nR1Z5+30lVG5ubnRunXrnT18uxo0aFDlHwhVkXmrnMxb5WTeKifzFq6IqgR29zpve6rT86Q69TWievVXX6um6tTXiOrVX33dNcq6zvOWJAAAAACpEUYBAAAAkJoKF0YVFBTEqFGjoqCgoLybwg4wb5WTeauczFvlZN5g+6rT86Q69TWievVXX6um6tTXiOrVX30tHzt9A3MAAAAA2FEV7sooAAAAAKouYRQAAAAAqRFGAQAAAJAaYRQAAAAAqalQYdTNN98c7dq1i1q1akXv3r3j5ZdfLu8msYnLL788cnJysn46d+6c2b9u3boYPnx47LnnnlGvXr048cQTY+HCheXY4upp6tSp8d3vfjdatWoVOTk58dhjj2XtT5IkRo4cGS1btozatWtH//794/33388qs2TJkhgyZEg0aNAgGjVqFD/5yU9i1apVKfaietre3A0dOrTUc3DAgAFZZcxdukaPHh2HHHJI1K9fP5o1axbf//73Y86cOVllyvK38ZNPPolBgwZFnTp1olmzZvHLX/4yNm7cmGZXIDW76nlTWdx6663RrVu3aNCgQTRo0CD69OkTTz/9dGZ/Verrpq666qrIycmJiy66KLOtKvW1uq2LP//88zj99NNjzz33jNq1a0fXrl3jlVdeyewvy/qysmjXrl2puc3JyYnhw4dHRNWa26Kiovjtb38b7du3j9q1a0fHjh3j97//fWz6HWdVaW5XrlwZF110UbRt2zZq164dhx12WMycOTOzvzL3tTK+BqwwYdQDDzwQl1xySYwaNSpeffXV6N69exx77LGxaNGi8m4amzjggAPiiy++yPy8+OKLmX0XX3xxPPnkk/HQQw/FlClTYv78+fGDH/ygHFtbPa1evTq6d+8eN9988xb3X3PNNXHDDTfEmDFjYsaMGVG3bt049thjY926dZkyQ4YMibfeeismTZoUEyZMiKlTp8Y555yTVheqre3NXUTEgAEDsp6D9913X9Z+c5euKVOmxPDhw2P69OkxadKk2LBhQxxzzDGxevXqTJnt/W0sKiqKQYMGRWFhYfz73/+Ou+++O+66664YOXJkeXQJdrtd8bypTFq3bh1XXXVVzJo1K1555ZX49re/HYMHD4633norIqpWX0vMnDkzxo4dG926dcvaXtX6Wl3WxUuXLo3DDz88atasGU8//XS8/fbbcd1118Uee+yRKVOW9WVlMXPmzKx5nTRpUkREnHTSSRFRteb26quvjltvvTVuuummeOedd+Lqq6+Oa665Jm688cZMmao0t2effXZMmjQp7rnnnnjjjTfimGOOif79+8fnn38eEZW7r5XyNWBSQRx66KHJ8OHDM78XFRUlrVq1SkaPHl2OrWJTo0aNSrp3777FfcuWLUtq1qyZPPTQQ5lt77zzThIRybRp01JqIZuLiOTvf/975vfi4uKkRYsWybXXXpvZtmzZsqSgoCC57777kiRJkrfffjuJiGTmzJmZMk8//XSSk5OTfP7556m1vbrbfO6SJEnOPPPMZPDgwVs9xtyVv0WLFiURkUyZMiVJkrL9bXzqqaeS3NzcZMGCBZkyt956a9KgQYNk/fr16XYAysHOPG8quz322CO5/fbbq2RfV65cmXTq1CmZNGlS0rdv3+TCCy9MkqTqzWt1Whf/6le/Sv7rv/5rq/vLsr6szC688MKkY8eOSXFxcZWb20GDBiVnnXVW1rYf/OAHyZAhQ5IkqVpzu2bNmiQvLy+ZMGFC1vaDDjooGTFiRJXqa2V5DVghrowqLCyMWbNmRf/+/TPbcnNzo3///jFt2rRybBmbe//996NVq1bRoUOHGDJkSHzyyScRETFr1qzYsGFD1hx27tw52rRpYw4rkHnz5sWCBQuy5qlhw4bRu3fvzDxNmzYtGjVqFL169cqU6d+/f+Tm5saMGTNSbzPZJk+eHM2aNYv99tsvzj333Pjqq68y+8xd+Vu+fHlERDRu3Dgiyva3cdq0adG1a9do3rx5psyxxx4bK1asyFw5AVXZzjxvKquioqK4//77Y/Xq1dGnT58q2dfhw4fHoEGDsvoUUTXntbqsi5944ono1atXnHTSSdGsWbPo2bNn/N///V9mf1nWl5VVYWFhjB8/Ps4666zIycmpcnN72GGHxT//+c947733IiLiP//5T7z44osxcODAiKhac7tx48YoKiqKWrVqZW2vXbt2vPjii1Wqr5urqK8Ba+yWWnfQ4sWLo6ioKGshHhHRvHnzePfdd8upVWyud+/ecdddd8V+++0XX3zxRfzud7+LI444It58881YsGBB5OfnR6NGjbKOad68eSxYsKB8GkwpJXOxpedayb4FCxZEs2bNsvbXqFEjGjdubC7L2YABA+IHP/hBtG/fPj788MP4zW9+EwMHDoxp06ZFXl6euStnxcXFcdFFF8Xhhx8eBx54YEREmf42LliwYIvPyZJ9UJXt7POmsnnjjTeiT58+sW7duqhXr178/e9/jy5dusTs2bOrVF/vv//+ePXVV7PuwVKiqs1rdVoXz507N2699da45JJL4je/+U3MnDkzLrjggsjPz48zzzyzTOvLyuqxxx6LZcuWxdChQyOi6j2OL7300lixYkV07tw58vLyoqioKK688soYMmRIRJTttUNlUb9+/ejTp0/8/ve/j/333z+aN28e9913X0ybNi322WefKtXXzVXU14AVIoyicihJyCMiunXrFr179462bdvGgw8+GLVr1y7HlkH1cOqpp2b+3bVr1+jWrVt07NgxJk+eHEcffXQ5toyIr68GePPNN7PuGQJsW3V53uy3334xe/bsWL58eTz88MNx5plnxpQpU8q7WbvUp59+GhdeeGFMmjSp1JUHVVF1WhcXFxdHr1694g9/+ENERPTs2TPefPPNGDNmTJx55pnl3Lrda9y4cTFw4MBo1apVeTdlt3jwwQfj3nvvjb/97W9xwAEHxOzZs+Oiiy6KVq1aVcm5veeee+Kss86KvfbaK/Ly8uKggw6K0047LWbNmlXeTauWKsTH9Jo0aRJ5eXmlvoVg4cKF0aJFi3JqFdvTqFGj2HfffeODDz6IFi1aRGFhYSxbtiyrjDmsWErmYlvPtRYtWpT64oCNGzfGkiVLzGUF06FDh2jSpEl88MEHEWHuytP5558fEyZMiH/961/RunXrzPay/G1s0aLFFp+TJfugqvomz5vKJj8/P/bZZ584+OCDY/To0dG9e/e4/vrrq1RfZ82aFYsWLYqDDjooatSoETVq1IgpU6bEDTfcEDVq1IjmzZtXmb5uSVVeF7ds2TK6dOmStW3//ffPfCyxLOvLyujjjz+O5557Ls4+++zMtqo2t7/85S/j0ksvjVNPPTW6du0aZ5xxRlx88cUxevToiKh6c9uxY8eYMmVKrFq1Kj799NN4+eWXY8OGDdGhQ4cq19dNVdTXgBUijMrPz4+DDz44/vnPf2a2FRcXxz//+c/o06dPObaMbVm1alV8+OGH0bJlyzj44IOjZs2aWXM4Z86c+OSTT8xhBdK+ffto0aJF1jytWLEiZsyYkZmnPn36xLJly7LeIXj++eejuLg4evfunXqb2brPPvssvvrqq2jZsmVEmLvykCRJnH/++fH3v/89nn/++Wjfvn3W/rL8bezTp0+88cYbWQuASZMmRYMGDUot/qEq2BXPm8quuLg41q9fX6X6evTRR8cbb7wRs2fPzvz06tUrhgwZkvl3VenrllTldfHhhx8ec+bMydr23nvvRdu2bSOibOvLyujOO++MZs2axaBBgzLbqtrcrlmzJnJzsyOBvLy8KC4ujoiqO7d169aNli1bxtKlS+PZZ5+NwYMHV9m+RlTg14C75bboO+H+++9PCgoKkrvuuit5++23k3POOSdp1KhR1rcLUb7++7//O5k8eXIyb9685KWXXkr69++fNGnSJFm0aFGSJEnys5/9LGnTpk3y/PPPJ6+88krSp0+fpE+fPuXc6upn5cqVyWuvvZa89tprSUQkf/rTn5LXXnst+fjjj5MkSZKrrroqadSoUfL4448nr7/+ejJ48OCkffv2ydq1azN1DBgwIOnZs2cyY8aM5MUXX0w6deqUnHbaaeXVpWpjW3O3cuXK5Be/+EUybdq0ZN68eclzzz2XHHTQQUmnTp2SdevWZeowd+k699xzk4YNGyaTJ09Ovvjii8zPmjVrMmW297dx48aNyYEHHpgcc8wxyezZs5Nnnnkmadq0afLrX/+6PLoEu92ueN5UJpdeemkyZcqUZN68ecnrr7+eXHrppUlOTk4yceLEJEmqVl83t+m36SVJ1eprdVoXv/zyy0mNGjWSK6+8Mnn//feTe++9N6lTp04yfvz4TJmyrC8rk6KioqRNmzbJr371q1L7qtLcnnnmmclee+2VTJgwIZk3b17y6KOPJk2aNEn+53/+J1OmKs3tM888kzz99NPJ3Llzk4kTJybdu3dPevfunRQWFiZJUrn7WhlfA1aYMCpJkuTGG29M2rRpk+Tn5yeHHnpoMn369PJuEps45ZRTkpYtWyb5+fnJXnvtlZxyyinJBx98kNm/du3a5Lzzzkv22GOPpE6dOskJJ5yQfPHFF+XY4urpX//6VxIRpX7OPPPMJEm+/mrP3/72t0nz5s2TgoKC5Oijj07mzJmTVcdXX32VnHbaaUm9evWSBg0aJD/+8Y+TlStXlkNvqpdtzd2aNWuSY445JmnatGlSs2bNpG3btslPf/rTUoG9uUvXluYrIpI777wzU6Ysfxs/+uijZODAgUnt2rWTJk2aJP/93/+dbNiwIeXeQDp21fOmsjjrrLOStm3bJvn5+UnTpk2To48+OhNEJUnV6uvmNg+jqlJfq9u6+Mknn0wOPPDApKCgIOncuXNy2223Ze0vy/qyMnn22WeTiNhiH6rS3K5YsSK58MILkzZt2iS1atVKOnTokIwYMSJZv359pkxVmtsHHngg6dChQ5Kfn5+0aNEiGT58eLJs2bLM/src18r4GjAnSZJk91xzBQAAAADZKsQ9owAAAACoHoRRAAAAAKRGGAUAAABAaoRRAAAAAKRGGAUAAABAaoRRAAAAAKRGGAUAAABAaoRRAAAAAKRGGAVUOpMnT46cnJxYtmxZeTcFAACAHSSMgips6NChkZOTE1dddVXW9sceeyxycnLKXE+7du3iL3/5yy5uXdn069cvLrroonI5NwBAdTJt2rTIy8uLQYMGlXdTgCpOGAVVXK1ateLqq6+OpUuXlndTdkhhYWF5NwEAoFoZN25c/PznP4+pU6fG/Pnzy7s5QBUmjIIqrn///tGiRYsYPXr0Vsu8+OKLccQRR0Tt2rVj7733jgsuuCBWr14dEV9fmfTxxx/HxRdfHDk5OZGTkxNJkkTTpk3j4YcfztTRo0ePaNmyZVadBQUFsWbNmoiI+OSTT2Lw4MFRr169aNCgQZx88smxcOHCTPnLL788evToEbfffnu0b98+atWqFUOHDo0pU6bE9ddfnzn3Rx99lDlm1qxZ0atXr6hTp04cdthhMWfOnF01bAAA1cqqVavigQceiHPPPTcGDRoUd911V9b+J554Ijp16hS1atWKo446Ku6+++5St03Y1poSYFPCKKji8vLy4g9/+EPceOON8dlnn5Xa/+GHH8aAAQPixBNPjNdffz0eeOCBePHFF+P888+PiIhHH300WrduHVdccUV88cUX8cUXX0ROTk4ceeSRMXny5IiIWLp0abzzzjuxdu3aePfddyMiYsqUKXHIIYdEnTp1ori4OAYPHhxLliyJKVOmxKRJk2Lu3LlxyimnZLXlgw8+iEceeSQeffTRmD17dlx//fXRp0+f+OlPf5o59957750pP2LEiLjuuuvilVdeiRo1asRZZ521m0YRAKBqe/DBB6Nz586x3377xemnnx533HFHJEkSERHz5s2L/+//+//i+9//fvznP/+JYcOGxYgRI7KO396aEmBTNcq7AcDud8IJJ0SPHj1i1KhRMW7cuKx9o0ePjiFDhmTuy9SpU6e44YYbom/fvnHrrbdG48aNIy8vL+rXrx8tWrTIHNevX78YO3ZsRERMnTo1evbsGS1atIjJkydH586dY/LkydG3b9+IiPjnP/8Zb7zxRsybNy8TJv31r3+NAw44IGbOnBmHHHJIRHz90by//vWv0bRp08x58vPzo06dOlnnLnHllVdmznHppZfGoEGDYt26dVGrVq1dNHIAANXDuHHj4vTTT4+IiAEDBsTy5ctjypQpmTXffvvtF9dee21EROy3337x5ptvxpVXXpk5fntrSuszYFOujIJq4uqrr46777473nnnnazt//nPf+Kuu+6KevXqZX6OPfbYKC4ujnnz5m21vr59+8bbb78dX375ZWah0q9fv5g8eXJs2LAh/v3vf0e/fv0iIuKdd96JvffeO+uqpi5dukSjRo2y2tO2bdusIGp7unXrlvl3yUcEFy1aVObjAQCImDNnTrz88stx2mmnRUREjRo14pRTTsm8iTlnzpzMm4clDj300Kzfd3ZNCVRProyCauLII4+MY489Nn7961/H0KFDM9tXrVoVw4YNiwsuuKDUMW3atNlqfV27do3GjRvHlClTYsqUKXHllVdGixYt4uqrr46ZM2fGhg0b4rDDDtuhNtatW3eHytesWTPz75JvBywuLt6hOgAAqrtx48bFxo0bo1WrVpltSZJEQUFB3HTTTWWqY2fXlED1JIyCauSqq66KHj16xH777ZfZdtBBB8Xbb78d++yzz1aPy8/Pj6KioqxtOTk5ccQRR8Tjjz8eb731VvzXf/1X1KlTJ9avXx9jx46NXr16ZcKl/fffPz799NP49NNPM1dHvf3227Fs2bLo0qXLNtu8pXMDALBrbNy4Mf7617/GddddF8ccc0zWvu9///tx3333xX777RdPPfVU1r6ZM2dm/V6WNSVACR/Tg2qka9euMWTIkLjhhhsy2371q1/Fv//97zj//PNj9uzZ8f7778fjjz+edbPJdu3axdSpU+Pzzz+PxYsXZ7b369cv7rvvvujRo0fUq1cvcnNz48gjj4x77703cy+niK+/0a/k3K+++mq8/PLL8aMf/Sj69u0bvXr12mab27VrFzNmzIiPPvooFi9e7MonAIBdaMKECbF06dL4yU9+EgceeGDWz4knnhjjxo2LYcOGxbvvvhu/+tWv4r333osHH3ww8217JVenl2VNCVBCGAXVzBVXXJEV6HTr1i2mTJkS7733XhxxxBHRs2fPGDlyZNZl2ldccUV89NFH0bFjx6x7OvXt2zeKiooy94aK+Dqg2nxbTk5OPP7447HHHnvEkUceGf37948OHTrEAw88sN32/uIXv4i8vLzo0qVLNG3aND755JNvNgAAAGSMGzcu+vfvHw0bNiy178QTT4xXXnklVq5cGQ8//HA8+uij0a1bt7j11lsz36ZXUFAQEWVbUwKUyElKvq8TAAAAyuDKK6+MMWPGxKefflreTQEqIfeMAgAAYJtuueWWOOSQQ2LPPfeMl156Ka699lofwQN2mjAKAACAbXr//ffjf//3f2PJkiXRpk2b+O///u/49a9/Xd7NAiopH9MDAAAAIDVuYA4AAABAaoRRAAAAAKRGGAUAAABAaoRRAAAAAKRGGAUAAABAaoRRAAAAAKRGGAUAAABAaoRRAAAAAKTm/wcg2BRAUTuekQAAAABJRU5ErkJggg==",
|
||
"text/plain": [
|
||
"<Figure size 1500x500 with 2 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Размер данных до удаления выбросов: (2600, 6)\n",
|
||
"Размер данных после удаления выбросов: (2366, 6)\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"fig, axs = plt.subplots(1, 2, figsize=(15, 5))\n",
|
||
"\n",
|
||
"sns.boxplot(data=df3, x='Networth', ax=axs[0])\n",
|
||
"axs[0].set_title(\"Выбросы по состоянию\")\n",
|
||
"\n",
|
||
"sns.boxplot(data=df3, x='Age', ax=axs[1])\n",
|
||
"axs[1].set_title(\"Выбросы по возрасту\")\n",
|
||
"\n",
|
||
"plt.show()\n",
|
||
"print(\"Размер данных до удаления выбросов: \", df3.shape)\n",
|
||
"\n",
|
||
"# Функция для удаления выбросов с помощью IQR\n",
|
||
"def remove_outliers(df, column):\n",
|
||
" Q1 = df[column].quantile(0.25)\n",
|
||
" Q3 = df[column].quantile(0.75)\n",
|
||
" IQR = Q3 - Q1\n",
|
||
" return df[~((df[column] < (Q1 - 1.5 * IQR)) | (df[column] > (Q3 + 1.5 * IQR)))]\n",
|
||
"\n",
|
||
"df3_cleaned = remove_outliers(df3, 'Networth')\n",
|
||
"df3_cleaned = remove_outliers(df3_cleaned, 'Age')\n",
|
||
"\n",
|
||
"print(\"Размер данных после удаления выбросов: \", df3_cleaned.shape)\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 241,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"C:\\Users\\salih\\AppData\\Local\\Temp\\ipykernel_13360\\2893838167.py:3: FutureWarning: \n",
|
||
"\n",
|
||
"Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n",
|
||
"\n",
|
||
" sns.barplot(x=country_dist.values, y=country_dist.index, palette='coolwarm')\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1000x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"C:\\Users\\salih\\AppData\\Local\\Temp\\ipykernel_13360\\2893838167.py:9: FutureWarning: \n",
|
||
"\n",
|
||
"Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n",
|
||
"\n",
|
||
" sns.barplot(x=industry_dist.values, y=industry_dist.index, palette='coolwarm')\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1000x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"(Country\n",
|
||
" United States 27.653846\n",
|
||
" China 19.807692\n",
|
||
" India 6.192308\n",
|
||
" Germany 5.000000\n",
|
||
" Russia 3.115385\n",
|
||
" Hong Kong 2.576923\n",
|
||
" Canada 2.461538\n",
|
||
" Brazil 2.307692\n",
|
||
" Italy 2.000000\n",
|
||
" Taiwan 1.961538\n",
|
||
" Name: proportion, dtype: float64,\n",
|
||
" Industry\n",
|
||
" Finance & Investments 14.846154\n",
|
||
" Technology 12.653846\n",
|
||
" Manufacturing 12.384615\n",
|
||
" Fashion & Retail 9.461538\n",
|
||
" Healthcare 8.153846\n",
|
||
" Food & Beverage 7.730769\n",
|
||
" Real Estate 7.269231\n",
|
||
" diversified 6.846154\n",
|
||
" Media & Entertainment 3.653846\n",
|
||
" Energy 3.576923\n",
|
||
" Name: proportion, dtype: float64)"
|
||
]
|
||
},
|
||
"execution_count": 241,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"plt.figure(figsize=(10, 6))\n",
|
||
"country_dist = df3['Country'].value_counts().head(10) # Топ-10 стран\n",
|
||
"sns.barplot(x=country_dist.values, y=country_dist.index, palette='coolwarm')\n",
|
||
"plt.title('Распределение миллиардеров по странам (Топ-10)')\n",
|
||
"plt.show()\n",
|
||
"\n",
|
||
"plt.figure(figsize=(10, 6))\n",
|
||
"industry_dist = df3['Industry'].value_counts().head(10) # Топ-10 отраслей\n",
|
||
"sns.barplot(x=industry_dist.values, y=industry_dist.index, palette='coolwarm')\n",
|
||
"plt.title('Распределение миллиардеров по отраслям (Топ-10)')\n",
|
||
"plt.show()\n",
|
||
"\n",
|
||
"# Процентное распределение по странам и отраслям(для наглядности)\n",
|
||
"country_percentage = df3['Country'].value_counts(normalize=True) * 100\n",
|
||
"industry_percentage = df3['Industry'].value_counts(normalize=True) * 100\n",
|
||
"\n",
|
||
"country_percentage.head(10), industry_percentage.head(10)\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Хотел проверить смещение. В данном случае имеется смещение по регионам или отраслям. Но думаю это особенность данного датасета, а не самих данных."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 246,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"(2598, 75, 18, np.int64(0))"
|
||
]
|
||
},
|
||
"execution_count": 246,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"# 1. Проверим уникальность по ключевым столбцам\n",
|
||
"unique_names = df3['Name'].nunique()\n",
|
||
"unique_countries = df3['Country'].nunique()\n",
|
||
"unique_industries = df3['Industry'].nunique()\n",
|
||
"\n",
|
||
"# 2. Проверка дубликатов\n",
|
||
"duplicates_count = df3.duplicated().sum()\n",
|
||
"\n",
|
||
"unique_names, unique_countries, unique_industries, duplicates_count\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Проверка оценки информативности. Тут все нормально"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 248,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"C:\\Users\\salih\\AppData\\Local\\Temp\\ipykernel_13360\\1549126591.py:7: FutureWarning: \n",
|
||
"\n",
|
||
"Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n",
|
||
"\n",
|
||
" sns.countplot(data=df3, y='Industry', order=df3['Industry'].value_counts().index, palette='coolwarm')\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
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",
|
||
"text/plain": [
|
||
"<Figure size 1000x500 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Проверка на согласованность категорий\n",
|
||
"unique_sources = df3['Source'].unique()\n",
|
||
"unique_industries = df3['Industry'].unique()\n",
|
||
"\n",
|
||
"# Пример для визуального анализа\n",
|
||
"plt.figure(figsize=(10, 5))\n",
|
||
"sns.countplot(data=df3, y='Industry', order=df3['Industry'].value_counts().index, palette='coolwarm')\n",
|
||
"plt.title('Распределение по отраслям')\n",
|
||
"plt.show()\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Для оценки покрытия мы смотрим на то, насколько разнообразны данные по странам, отраслям и возрастам."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Устранение проблемы пропущенных данных"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 249,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"C:\\Users\\salih\\AppData\\Local\\Temp\\ipykernel_13360\\207427758.py:9: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.\n",
|
||
"The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.\n",
|
||
"\n",
|
||
"For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.\n",
|
||
"\n",
|
||
"\n",
|
||
" df_fillna_mean[column].fillna(df_fillna_mean[column].mean(), inplace=True)\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"(Name 0\n",
|
||
" Networth 0\n",
|
||
" Age 0\n",
|
||
" Country 0\n",
|
||
" Source 0\n",
|
||
" Industry 0\n",
|
||
" dtype: int64,\n",
|
||
" (2600, 6),\n",
|
||
" (2600, 6),\n",
|
||
" (2600, 6))"
|
||
]
|
||
},
|
||
"execution_count": 249,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"missing_values = df3.isnull().sum()\n",
|
||
"\n",
|
||
"df_dropna = df3.dropna()\n",
|
||
"\n",
|
||
"df_fillna_const = df3.fillna(0)\n",
|
||
"\n",
|
||
"df_fillna_mean = df3.copy()\n",
|
||
"for column in df_fillna_mean.select_dtypes(include=['float64', 'int64']):\n",
|
||
" df_fillna_mean[column].fillna(df_fillna_mean[column].mean(), inplace=True)\n",
|
||
"\n",
|
||
"missing_values, df_dropna.shape, df_fillna_const.shape, df_fillna_mean.shape\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Разбиение набора данных на обучающую, контрольную и тестовую выборки"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 251,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"((1560, 5), (520, 5), (520, 5))"
|
||
]
|
||
},
|
||
"execution_count": 251,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"from sklearn.model_selection import train_test_split\n",
|
||
"\n",
|
||
"# Разделим набор данных на признаки (X) и целевой признак (y)\n",
|
||
"X = df3.drop(columns=['Networth'])\n",
|
||
"y = df3['Networth']\n",
|
||
"\n",
|
||
"# Разделение на обучающую, контрольную и тестовую выборки\n",
|
||
"X_train, X_temp, y_train, y_temp = train_test_split(X, y, test_size=0.4, random_state=42)\n",
|
||
"X_val, X_test, y_val, y_test = train_test_split(X_temp, y_temp, test_size=0.5, random_state=42)\n",
|
||
"\n",
|
||
"# Проверка размера выборок\n",
|
||
"(X_train.shape, X_val.shape, X_test.shape)\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Оценка сбалансированности выборок\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 252,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"(count 1560.000000\n",
|
||
" mean 5.208173\n",
|
||
" std 12.653032\n",
|
||
" min 1.000000\n",
|
||
" 25% 1.500000\n",
|
||
" 50% 2.400000\n",
|
||
" 75% 4.300000\n",
|
||
" max 219.000000\n",
|
||
" Name: Networth, dtype: float64,\n",
|
||
" count 520.000000\n",
|
||
" mean 4.443654\n",
|
||
" std 7.267615\n",
|
||
" min 1.000000\n",
|
||
" 25% 1.500000\n",
|
||
" 50% 2.400000\n",
|
||
" 75% 4.825000\n",
|
||
" max 91.400000\n",
|
||
" Name: Networth, dtype: float64,\n",
|
||
" count 520.000000\n",
|
||
" mean 4.235577\n",
|
||
" std 5.861496\n",
|
||
" min 1.000000\n",
|
||
" 25% 1.600000\n",
|
||
" 50% 2.500000\n",
|
||
" 75% 4.500000\n",
|
||
" max 60.000000\n",
|
||
" Name: Networth, dtype: float64)"
|
||
]
|
||
},
|
||
"execution_count": 252,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Проверка распределения целевого признака по выборкам\n",
|
||
"train_dist = y_train.describe()\n",
|
||
"val_dist = y_val.describe()\n",
|
||
"test_dist = y_test.describe()\n",
|
||
"\n",
|
||
"train_dist, val_dist, test_dist\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 273,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Размеры после oversampling: (15270, 19) (15270,)\n",
|
||
"Размеры после undersampling: (14965, 19) (14965,)\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"oversampler = RandomOverSampler(random_state=12)\n",
|
||
"X_train_over, y_train_over = oversampler.fit_resample(X_train, y_train)\n",
|
||
"\n",
|
||
"undersampler = RandomUnderSampler(random_state=12)\n",
|
||
"X_train_under, y_train_under = undersampler.fit_resample(X_train, y_train)\n",
|
||
"\n",
|
||
"print(\"Размеры после oversampling:\", X_train_over.shape, y_train_over.shape)\n",
|
||
"print(\"Размеры после undersampling:\", X_train_under.shape, y_train_under.shape)"
|
||
]
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": "aimenv",
|
||
"language": "python",
|
||
"name": "python3"
|
||
},
|
||
"language_info": {
|
||
"codemirror_mode": {
|
||
"name": "ipython",
|
||
"version": 3
|
||
},
|
||
"file_extension": ".py",
|
||
"mimetype": "text/x-python",
|
||
"name": "python",
|
||
"nbconvert_exporter": "python",
|
||
"pygments_lexer": "ipython3",
|
||
"version": "3.12.5"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 2
|
||
}
|