{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# I-94 Interstate Highway (Westbound): Analysis of heavy traffic factors\n",
"\n",
"![I-94](https://s3.amazonaws.com/dq-content/524/i94_figma.png)\n",
"\n",
"## Introduction\n",
"\n",
"In this project, we are going to analyse the dataset about the westbound traffic on the [I-94 Interstate highway](https://en.wikipedia.org/wiki/Interstate_94).\n",
"\n",
"Our goal is to determine few factors for heavy traffic, and the correlation between them.\n",
"\n",
"## Dataset\n",
"\n",
"Information about our dataset including CSV downloadable can be found at the [UCI Machine learning repository](https://archive.ics.uci.edu/ml/datasets/Metro+Interstate+Traffic+Volume).\n",
"\n",
"**Credits:** Thanks to John Hogue for compiling the dataset, and making it available for us.\n",
"\n",
"**Note:** As per the documentation\n",
"- The traffic data was recorded by a station located approximately midway between Minneapolis and Saint Paul\n",
"- The station only records westbound traffic (cars moving from east to west)\n",
"\n",
"Due to the above note on the dataset, we should avoid generalising our results for the entire I-94 highway.\n",
"\n",
"## Initial Exploration\n",
"\n",
"Let's now read the CSV file to examine few sample rows along with the broader information about the dataset."
]
},
{
"cell_type": "code",
"execution_count": 225,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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\n",
"\n",
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\n",
" \n",
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\n",
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\n",
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holiday
\n",
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temp
\n",
"
rain_1h
\n",
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snow_1h
\n",
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clouds_all
\n",
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weather_main
\n",
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weather_description
\n",
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date_time
\n",
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traffic_volume
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\n",
" \n",
" \n",
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0
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None
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288.28
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0.0
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0.0
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40
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Clouds
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scattered clouds
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2012-10-02 09:00:00
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5545
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1
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None
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289.36
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0.0
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0.0
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75
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Clouds
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broken clouds
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2012-10-02 10:00:00
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4516
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2
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None
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289.58
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0.0
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0.0
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90
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Clouds
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overcast clouds
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2012-10-02 11:00:00
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4767
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3
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None
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290.13
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0.0
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0.0
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90
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Clouds
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overcast clouds
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2012-10-02 12:00:00
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5026
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\n",
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\n",
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4
\n",
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None
\n",
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291.14
\n",
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0.0
\n",
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0.0
\n",
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75
\n",
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Clouds
\n",
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broken clouds
\n",
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2012-10-02 13:00:00
\n",
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4918
\n",
"
\n",
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\n",
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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48199
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None
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283.45
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0.0
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0.0
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75
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Clouds
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broken clouds
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2018-09-30 19:00:00
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3543
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48200
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None
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282.76
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0.0
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0.0
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90
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Clouds
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overcast clouds
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2018-09-30 20:00:00
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2781
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48201
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None
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282.73
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0.0
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0.0
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90
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Thunderstorm
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proximity thunderstorm
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2018-09-30 21:00:00
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2159
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48202
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None
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282.09
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0.0
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0.0
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90
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Clouds
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overcast clouds
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2018-09-30 22:00:00
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1450
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48203
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None
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282.12
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0.0
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0.0
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90
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Clouds
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overcast clouds
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2018-09-30 23:00:00
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954
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48204 rows × 9 columns
\n",
"
"
],
"text/plain": [
" holiday temp rain_1h snow_1h clouds_all weather_main \\\n",
"0 None 288.28 0.0 0.0 40 Clouds \n",
"1 None 289.36 0.0 0.0 75 Clouds \n",
"2 None 289.58 0.0 0.0 90 Clouds \n",
"3 None 290.13 0.0 0.0 90 Clouds \n",
"4 None 291.14 0.0 0.0 75 Clouds \n",
"... ... ... ... ... ... ... \n",
"48199 None 283.45 0.0 0.0 75 Clouds \n",
"48200 None 282.76 0.0 0.0 90 Clouds \n",
"48201 None 282.73 0.0 0.0 90 Thunderstorm \n",
"48202 None 282.09 0.0 0.0 90 Clouds \n",
"48203 None 282.12 0.0 0.0 90 Clouds \n",
"\n",
" weather_description date_time traffic_volume \n",
"0 scattered clouds 2012-10-02 09:00:00 5545 \n",
"1 broken clouds 2012-10-02 10:00:00 4516 \n",
"2 overcast clouds 2012-10-02 11:00:00 4767 \n",
"3 overcast clouds 2012-10-02 12:00:00 5026 \n",
"4 broken clouds 2012-10-02 13:00:00 4918 \n",
"... ... ... ... \n",
"48199 broken clouds 2018-09-30 19:00:00 3543 \n",
"48200 overcast clouds 2018-09-30 20:00:00 2781 \n",
"48201 proximity thunderstorm 2018-09-30 21:00:00 2159 \n",
"48202 overcast clouds 2018-09-30 22:00:00 1450 \n",
"48203 overcast clouds 2018-09-30 23:00:00 954 \n",
"\n",
"[48204 rows x 9 columns]"
]
},
"execution_count": 225,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import pandas as pd\n",
"traffic = pd.read_csv(\"Metro_Interstate_Traffic_Volume.csv\")\n",
"traffic"
]
},
{
"cell_type": "code",
"execution_count": 226,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"RangeIndex: 48204 entries, 0 to 48203\n",
"Data columns (total 9 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 holiday 48204 non-null object \n",
" 1 temp 48204 non-null float64\n",
" 2 rain_1h 48204 non-null float64\n",
" 3 snow_1h 48204 non-null float64\n",
" 4 clouds_all 48204 non-null int64 \n",
" 5 weather_main 48204 non-null object \n",
" 6 weather_description 48204 non-null object \n",
" 7 date_time 48204 non-null object \n",
" 8 traffic_volume 48204 non-null int64 \n",
"dtypes: float64(3), int64(2), object(4)\n",
"memory usage: 3.3+ MB\n"
]
}
],
"source": [
"traffic.info()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Exploratory Data Analysis - Time factors\n",
"\n",
"### Traffic volume: Day time vs Night time\n",
"\n",
"Now that we understand a bit more about the dataset columns, we will see the distribution of the `traffic_volume` column."
]
},
{
"cell_type": "code",
"execution_count": 227,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"count 48204.000000\n",
"mean 3259.818355\n",
"std 1986.860670\n",
"min 0.000000\n",
"25% 1193.000000\n",
"50% 3380.000000\n",
"75% 4933.000000\n",
"max 7280.000000\n",
"Name: traffic_volume, dtype: float64"
]
},
"execution_count": 227,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"traffic[\"traffic_volume\"].describe()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"From the distribution of the `traffic_volume` data, we can see that:\n",
"- About 25% of the time, there are **1193** cars or fewer passing the station each hour\n",
"- About 25% of the time, there is a 4 times as much traffic volume (**4933** cars or more)\n",
"\n",
"This signifies that potentially there are factors such as time of the day (Day or Night hours), holidays or road maintenance/construction in play here.\n",
"\n",
"Since we have the date and hourly window when the data was recorded, it would be interesting next to look at the variation based on hour window."
]
},
{
"cell_type": "code",
"execution_count": 228,
"metadata": {},
"outputs": [],
"source": [
"traffic[\"date_time\"] = pd.to_datetime(traffic[\"date_time\"])\n",
"# Extracting the hour and storing it as a seperate column\n",
"traffic[\"hour\"] = traffic[\"date_time\"].dt.hour\n",
"# Extracting the month and day of the week - Storing it as a seperate columns for later\n",
"traffic[\"month\"] = traffic[\"date_time\"].dt.month\n",
"traffic[\"day_of_week\"] = traffic[\"date_time\"].dt.dayofweek\n",
"traffic[\"day\"] = traffic[\"date_time\"].dt.day\n",
"traffic[\"year\"] = traffic[\"date_time\"].dt.year\n",
"\n",
"day_time_traffic = traffic[traffic[\"hour\"].between(6,19)]\n",
"night_time_traffic = traffic[(traffic[\"hour\"] < 6) | (traffic[\"hour\"] > 19)]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Above, we have seperated the hour part from the `date_time` as a seperate column, and also divided the dataset into two parts:\n",
"- Daytime data: hours from 6 am to 7 pm\n",
"- Nightime data: hours from 7 pm to 6 am\n",
"\n",
"Now we will use the divided dataset to plot the traffic volume frequency side-by-side."
]
},
{
"cell_type": "code",
"execution_count": 229,
"metadata": {},
"outputs": [
{
"data": {
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fHx+vr776Sjt37jSWHT16VNnZ2TWeQ9Vzns081bk2DBgwQH5+fkpPT3fpZw6Hw+mxl2aq+mT9t/usqKjQihUrTN/XgAED9P3335/zMaj0cPwePsEGPCg3N1f5+fmqrKzUL7/8ok8//VRbtmzRVVddpUWLFhmnNDdp0kTXX3+9XnnlFZ06dUotW7bUli1bLniUdtiwYZo8ebIkGc/S9FZWq1UzZ87UuHHjNGTIEA0fPlwtW7bU4cOH9emnn6pJkyZavHix6futyfe1pnr37q2hQ4fq9ddf1759+9SnTx/Z7XZ9+eWXiomJMZ6zDQDwDhMmTNDatWtVUFCgDh06XHDs2LFjtW7dOt1zzz266667jMd0tWrVSkePHq3Rp9GdO3eWn5+fMjMzVVZWpoCAAPXu3dvp/izeIDQ0VKmpqZo3b54OHjyo/v37q3Hjxjpw4IA+/PBD3XbbbUpJSTF9v9HR0QoODta0adM0evRoWSwWrV27tlYCb0pKit5//33df//9uuWWW9S1a1eVlJToo48+0pNPPqlOnTqZvk/UHwRswINeeOEFSVKDBg3UrFkzdezYUWlpaRo+fLjTXbelM4+ieOqpp7RixQo5HA7FxcUpMzNTffr0Oee2+/btq+DgYNntdiUmJtZ6Le6KiYnRW2+9pYULF+qNN95QeXm5WrRooe7du2vkyJG1tt/qfl/dMXv2bEVEROjtt9/Ws88+q6ZNm6pbt261+mxyAEDNtG3bVsnJyXrnnXd+d2yrVq20bNkyzZw5Uy+//LJCQkI0atQoBQYGaubMmee8B8jvadGihZ588km9/PLLevTRR1VZWally5Z5XcCWzjz7u127dvrHP/6hl156SdKZG5zGxcWpX79+tbLP5s2ba/HixXrmmWe0YMEC2Ww2JScnKzY21vRA37hxYy1fvlwvvviiPvjgA73zzju67LLLFBsbW63npePSZHFwngNQL5w+fVp9+vRR37599fTTT9f1dAAAuOTMmjVLb731lrZt2+aVNzYDUPu4BhuoJz788EMVFRVp2LBhdT0VAADqvZMnTzp9XVxcrHXr1um6664jXAOXMK8L2Js2bdKtt96q6OhoxcfH6/7771dhYaHLuFWrVmngwIGKjIxUcnKyPv74Y5cxZWVlSktLU69evRQdHa3JkyfryJEjLuO2bt2qkSNHqnv37urbt68yMjK4gQF8xvbt27Vy5UrNmTNHXbp0Ua9evep6SgDqOXo1II0cOVKzZs3Sm2++qfT0dA0fPlzHjh3TfffdV9dTA1CHvOoU8U8//VR//vOfNWzYMN100006evSonn/+edntdmVnZxvPxFu/fr0efPBBTZgwQb1791ZOTo5Wr16t5cuXKyoqytheSkqKdu/eralTp6phw4ZasGCBrFarVq9eLX//M5ef79u3T8OGDVNcXJxGjRqlH374QXPnztWUKVNq5QYNgNmmTZumdevWqVOnTpozZ446duxY11MCUI/Rq4Ez5s+fr/fff1+HDh2SxWJRly5dNHHiRI8+fhKAF3J4kccff9zRr18/h91uN5bl5eU5Onbs6Pj888+NZQMGDHA88MADTq8dOXKkY+zYscbXW7dudXTs2NHxr3/9y1i2Z88eR0REhGP9+vVO++zbt6/jP//5j7Fs3rx5jp49ezotAwAA9GoAAC7Eq04RP336tBo3buz0aIOmTZtK+u8z5woLC7V3714NGjTI6bVJSUnKy8tTRUWFpDOPQ7LZbIqLizPGhIeHq3PnzsrNzTWW5ebmKjExUQEBAU7bKi0t1bZt28wvEgAAH0avBgDg/LwqYA8fPlx79uzR8uXLVVZWpsLCQs2fP19dunTRtddeK0nKz8+XJIWFhTm9tn379jp16pRxDVh+fr7CwsJcnkMYHh5ubKO8vFw//fSTwsPDXcZYLBZjHAAAOINeDQDA+XlVwO7Zs6fS09M1b9489ezZU/3799evv/6qzMxM426MJSUlkiSbzeb02qqvq9aXlpYaR9R/Kzg42BhTVlZ2zm0FBAQoMDDQGAcAAM6gVwMAcH5eFbC3bt2qhx9+WLfddpuWLl1q3DRl/PjxLo9C8GYO77lvHAAApqJXAwBwfv51PYHfmjlzpnr37q1p06YZy6KiovSHP/xBa9eu1ciRIxUcHCzpzBHtFi1aGONKS0slyVhvs9l06NAhl32UlJQYY6qOmlcdHa9SUVGhEydOGOOqy2KxqLT0hCor7TV6vbfx87PKZgukJi9HTb6BmnyDJ2uy2QLl5+dVx7sviF7tnfg99A3U5BuoyTd4a6/2qoC9Z88eJSYmOi278sor1bx5c+3fv1+SjGuw8vPzna7Hys/PV4MGDdSmTRtjXF5enhwOh9O1XQUFBcZjjIKCgtSqVSuX67cKCgrkcDhcrveqjspKu06frh9v3irU5BuoyTdQk2+ojzW5i17t3ajJN1CTb6Am3+BtNXnVIfOrrrpKO3bscFp28OBBFRcX6+qrr5YktWnTRu3atdOGDRucxuXk5Cg2Nta4w2hCQoJKSkqUl5dnjCkoKNCOHTuUkJBgLEtISNCmTZt06tQpp23ZbDZFR0ebXiMAAL6MXg0AwPn5zZgxY0ZdT6JKZWWlli5dqpKSEvn7++ubb77RjBkzZLFY9MQTTygwMFCS1Lx5c6Wnp8tuP3OkIjMzUx9//LFmz56tVq1aSZJatWqlr776Sm+//bZatmypwsJCPfHEE2rRooXS0tJktZ45thAeHq7XXntN33//vZo1a6aPPvpI6enpmjRpkq6//voa13Ly5CnZ7fXj+i6r1aLAwABq8nLU5BuoyTd4sqbAwABZrZbfH+gl6NXeid9D30BNvoGafIO39mqLw4vu8uFwOPTmm2/qn//8pwoLC9W4cWNFRUVpypQpat++vdPYVatWKTMzU//v//0/hYWF6YEHHlDfvn2dxpSVlWn27Nn64IMPdPr0acXHx+uxxx5Ty5YtncZt3bpVc+bM0c6dOxUSEqJRo0Zp3LhxLo8NqY7i4uNedaqCO/z9rWrevDE1eTlq8g3U5Bs8WVNISGOfugabXu2d+D30DdTkG6jJN3hrr/aqgF2f8Ob1btTkG6jJN1CTe3wtYNcnvGe9GzX5BmryDdTknur0aq+6yRkA1Dar1VKnp+NW/eV8rr+k7XZHvTltCwAA4FJEwAZwybBaLWrWLMgrPi202QJdllVW2nX0aDkhGwAAwEcRsAFcMqxWi/z8rJq7/EsdOFz2+y/woNYtm+qhUdfJarUQsAEAAHwUARvAJefA4TLtOVhS19MAAABAPVP350kCAAAAAFAPELABAAAAADABARsAAAAAABMQsAEAAAAAMAEBGwAAAAAAExCwAQAAAAAwAQEbAAAAAAATELABAAAAADABARsAAAAAABMQsAEAAAAAMAEBGwAAAAAAExCwAQAAAAAwAQEbAAAAAAATELABAAAAADABARsAAAAAABMQsAEAAAAAMAEBGwAAAAAAExCwAQAAAAAwAQEbAAAAAAATELABAAAAADABARsAAAAAABMQsAEAAAAAMAEBGwAAAAAAExCwAQAAAAAwAQEbAAAAAAATELABAAAAADABARsAAAAAABMQsAEAAAAAMAEBGwAAAAAAExCwAQAAAAAwAQEbAAAAAAATELABAAAAADABARsAAAAAABMQsAEAAAAAMAEBGwAAAAAAExCwAQAAAAAwAQEbAAAAAAATELABAAAAADABARsAAAAAABMQsAEAAAAAMAEBGwAAAAAAExCwAQAAAAAwAQEbAAAAAAATELABAAAAADABARsAAAAAABN4VcAePXq0IiIizvnf+vXrjXGrVq3SwIEDFRkZqeTkZH388ccu2yorK1NaWpp69eql6OhoTZ48WUeOHHEZt3XrVo0cOVLdu3dX3759lZGRIYfDUat1AgDgq+jVAACcn39dT+C3nnjiCR07dsxp2dKlS7Vx40bFxsZKktavX6/HH39cEyZMUO/evZWTk6OJEydq+fLlioqKMl6Xmpqq3bt3a8aMGWrYsKEWLFigcePGafXq1fL3P1P2vn37lJKSori4OKWmpuqHH37Q3Llz5efnp5SUFM8VDgCAj6BXAwBwfl4VsK+55hqXZQ8++KDi4uIUEhIiSXrhhRc0ePBgpaamSpJ69+6tXbt26aWXXlJmZqYkadu2bdq8ebOWLFmi+Ph4SVJYWJiSkpK0ceNGJSUlSZKWLFmi5s2ba/78+QoICFBsbKyKioq0ePFijR49WgEBAZ4oGwAAn0GvBgDg/LzqFPGzbd26VQcOHNBNN90kSSosLNTevXs1aNAgp3FJSUnKy8tTRUWFJCk3N1c2m01xcXHGmPDwcHXu3Fm5ubnGstzcXCUmJjo156SkJJWWlmrbtm21WRoAAPUCvRoAgP/y6oD97rvvKigoSImJiZKk/Px8SWeOcP9W+/btderUKRUWFhrjwsLCZLFYnMaFh4cb2ygvL9dPP/2k8PBwlzEWi8UYBwAAzo9eDQDAf3nVKeK/dfr0ab333nvq16+fgoKCJEklJSWSJJvN5jS26uuq9aWlpWratKnLNoODg/Xtt99KOnNjlXNtKyAgQIGBgca2asrPz6uPXVRLVS3U5N2o6eK35818YY5n47136aJXe4/6+J6lJt9ATb6BmjzHawP2li1bVFRUpCFDhtT1VGrEZgus6ymYjpp8AzX5Nl+u1Zfnfj71sSYz0au9DzX5BmryDdTkG7ytJq8N2O+++66aNWtm3PhEOnNUWzpzRLtFixbG8tLSUqf1NptNhw4dctlmSUmJMabqqHnV0fEqFRUVOnHihDGupkpLT6iy0u7WNryFn59VNlsgNXk5arr47XkzX/z58d5zj80W6HVH3y8Wvdp78HvoG6jJN1CTb/DWXu2VAfvkyZP68MMPlZycrAYNGhjLq67Bys/Pd7oeKz8/Xw0aNFCbNm2McXl5eXI4HE7XdhUUFKhjx46SpKCgILVq1crl+q2CggI5HA6X672qq7LSrtOn68ebtwo1+QZq8m2+XKsvz/186mNNZqFXeydq8g3U5BuoyTd4W01eecj8o48+Unl5uXFH0ipt2rRRu3bttGHDBqflOTk5io2NNe4wmpCQoJKSEuXl5RljCgoKtGPHDiUkJBjLEhIStGnTJp06dcppWzabTdHR0bVRGgAA9QK9GgAAV175CXZ2drauuuoqXXfddS7rJk2apIceekihoaGKiYlRTk6Ovv76a73xxhvGmOjoaMXHxystLU1Tp05Vw4YN9dxzzykiIkIDBgwwxqWkpCg7O1sPPvig7rjjDu3atUtLlizRlClTeK4mAAAXQK8GAMCV1wXskpIS/etf/9Ldd9/t8ugOSRoyZIhOnDihzMxMZWRkKCwsTOnp6S5HsRcsWKDZs2dr+vTpOn36tOLj4/XYY4/J3/+/Jbdt21ZLlizRnDlzNH78eIWEhGjy5MkaM2ZMrdcJAICvolcDAHBuFofD4ajrSdRHxcXHvepaAHf4+1vVvHljavJy1HTx20ud/3/ac9C9x/uYrf3VwVrwwB988ufHe889ISGNffYmZ76O96x3oybfQE2+gZrcU51eTUcHAAAAAMAEBGwAAAAAAExAwAYAAAAAwAQEbAAAAAAATEDABgAAAADABARsAAAAAABMQMAGAAAAAMAEBGwAAAAAAExAwAYAAAAAwAQEbAAAAAAATEDABgAAAADABARsAAAAAABMQMAGAAAAAMAEBGwAAAAAAExAwAYAAAAAwAQEbAAAAAAATEDABgAAAADABARsAAAAAABMQMAGAAAAAMAEBGwAAAAAAExAwAYAAAAAwAQEbAAAAAAATEDABgAAAADABARsAAAAAABMQMAGAAAAAMAEBGwAAAAAAExAwAYAAAAAwAQEbAAAAAAATEDABgAAAADABARsAAAAAABMQMAGAAAAAMAEBGwAAAAAAExAwAYAAAAAwAQEbAAAAAAATEDABgAAAADABARsAAAAAABMQMAGAAAAAMAEBGwAAAAAAExAwAYAAAAAwAQEbAAAAAAATEDABgAAAADABARsAAAAAABMQMAGAAAAAMAEBGwAAAAAAExAwAYAAAAAwAQEbAAAAAAATEDABgAAAADABJ6a5S0AACAASURBVARsAAAAAABM4JUB+5133tGwYcMUGRmpmJgYjR07VidPnjTWf/TRR0pOTlZkZKQGDhyo1atXu2yjoqJCzzzzjOLi4hQVFaV77rlH+fn5LuP27Nmje+65R1FRUYqLi9Ozzz6rioqKWq0PAABfR68GAMCVf11P4GyLFi1SZmamJkyYoKioKBUXFysvL0+VlZWSpC+++EITJ07UiBEjlJaWpk8++USPPvqoGjdurD/+8Y/GdmbOnKmcnBxNmzZNLVu21OLFi/XnP/9Z69evV9OmTSVJJSUluvvuu9WuXTu9+OKLOnz4sObMmaOTJ09q+vTpdVI/AADejl4NAMC5eVXAzs/PV3p6uhYuXKgbb7zRWD5w4EDjz4sWLVL37t3197//XZLUu3dvFRYW6oUXXjCa9qFDh/T222/riSee0IgRIyRJkZGR6tu3r958802NGzdOkvTmm2/q+PHjSk9PV7NmzSRJlZWVevLJJ3XvvfeqZcuWHqkbAABfQa8GAOD8vOoU8aysLLVu3dqpYf9WRUWFPv30U6ej35KUlJSkPXv26MCBA5KkzZs3y263O41r1qyZ4uLilJubayzLzc1VbGys0bAladCgQbLb7dqyZYuZpQEAUC/QqwEAOD+vCtjbt29Xx44dtXDhQsXGxqpbt266/fbbtX37dknS/v37derUKYWHhzu9rn379pJkXLeVn5+vyy67TMHBwS7jfnttV35+vsu2bDabWrRocc5rwAAAuNTRqwEAOD+vOkX8559/1rfffqtdu3bpiSeeUGBgoBYvXqwxY8Zo48aNKikpkXSmsf5W1ddV60tLS41rt84eVzWmatzZ25Kk4OBgp3E14efnVccu3FJVCzV5N2q6+O15M1+Y49l4711a6NXeqT6+Z6nJN1CTb6Amz/GqgO1wOFReXq7nn39enTp1kiT16NFD/fr10xtvvKH4+Pg6nuHFs9kC63oKpqMm30BNvs2Xa/XluZ9PfazJXfRq70ZNvoGafAM1+QZvq8mrArbNZlOzZs2Mhi2duR6rS5cu2r17twYPHixJKisrc3pdaWmpJBmnmdlsNh07dsxl+6WlpU6notlsNpdtSWeOrp99ylp1lZaeUGWl3a1teAs/P6tstkBq8nLUdPHb82a++PPjvecemy3Q646+Xwi92jvxe+gbqMk3UJNv8NZe7VUB+5prrtH+/fvPue4///mPQkND1aBBA+Xn56tPnz7GuqprsKqu0QoPD9cvv/zi0nzPvo4rPDzc5fqtsrIy/fzzzy7Xe1VXZaVdp0/XjzdvFWryDdTk23y5Vl+e+/nUx5rcRa/2btTkG6jJN1CTb/C2mrzqkHnfvn119OhR7dy501hWXFys7777Tl27dlVAQIBiYmL0/vvvO70uJydH7du3V+vWrSVJ8fHxslqt2rhxozGmpKREmzdvVkJCgrEsISFB//73v42j6pK0YcMGWa1WxcXF1VaZAAD4LHo1AADn5zdjxowZdT2JKmFhYcrNzdWaNWt0+eWXa//+/XryySdVVlam2bNnq3Hjxrr66qu1aNEi/fzzzwoMDFRWVpaWL1+u6dOnq0OHDpKkJk2a6PDhw1q6dKkuu+wyFRUV6amnntKJEyc0e/ZsNWzYUJLUoUMHrVq1Sv/+9791xRVX6PPPP9czzzyjW265xTjFraZOnjwlu93h9vfEG1itFgUGBlCTl6Omi9/ehry9Ki77j/sTNFGIrZH+GNvOJ39+vPfcExgYIKvVUqv7MBO92jvxe+gbqMk3UJNv8NZe7VWniFutVmVkZGj27NmaPn26Tp06pZ49e2r58uVq0aKFJKlnz5568cUXtWDBAr399tu66qqrNHPmTA0aNMhpW4899pgaN26sefPm6fjx47r22mv12muvOd2xNDg4WEuXLtVTTz2lv/71r2rcuLFGjBihKVOmeLRuAAB8Bb0aAIDzszgcjvpxCMPLFBcf96prAdzh729V8+aNqcnLUdPFby91/v9pz0H3Hu9jtvZXB2vBA3/wyZ8f7z33hIQ09qmbnNUnvGe9GzX5BmryDdTknur0ajo6AAAAAAAmIGADAAAAAGACAjYAAAAAACYgYAMAAAAAYAICNgAAAAAAJiBgAwAAAABgAgI2AAAAAAAmIGADAAAAAGACAjYAAAAAACYgYAMAAAAAYAICNgAAAAAAJiBgAwAAAABgAv+6ngAAAEBd8PPzzOcMdrtDdrvDI/sCANQtAjYAALjkOBwO2WyBHtlXZaVdR4+WE7IB4BJAwAYAL+KpT9Sqg0/fUB9ZLBbNXf6lDhwuq9X9tG7ZVA+Nuk5Wq4XfIwC4BBCwAcALNGvaUHa75z5Rqw4+fUN9deBwmfYcLKnraQAA6hECNgB4gSaBDWS1euYTterg0zcAAICLR8AGAC/CJ2oAAAC+y/su9gMAAAAAwAcRsAEAAAAAMAEBGwAAAAAAExCwAQAAAAAwAQEbAAAAAAATELABAAAAADABARsAAAAAABMQsAEAAAAAMAEBGwAAAAAAExCwAQAAAAAwAQEbAAAAAAATELABAAAAADABARsAAAAAABMQsAEAAAAAMAEBGwAAAAAAExCwAQAAAAAwAQEbAAAAAAATELABAAAAADABARsAAAAAABMQsAEAAAAAMAEBGwAAAAAAExCwAQAAAAAwAQEbAAAAAAATELABAAAAADABARsAAAAAABMQsAEAAAAAMAEBGwAAAAAAExCwAQAAAAAwAQEbAAAAAAATELABAAAAADCBVwXsrKwsRUREuPw3d+5cp3GrVq3SwIEDFRkZqeTkZH388ccu2yorK1NaWpp69eql6OhoTZ48WUeOHHEZt3XrVo0cOVLdu3dX3759lZGRIYfDUWs1AgDgy+jVAACcn39dT+BcXnnlFTVt2tT4umXLlsaf169fr8cff1wTJkxQ7969lZOTo4kTJ2r58uWKiooyxqWmpmr37t2aMWOGGjZsqAULFmjcuHFavXq1/P3PlL1v3z6lpKQoLi5Oqamp+uGHHzR37lz5+fkpJSXFcwUDAOBj6NUAALjyyoDdtWtXhYSEnHPdCy+8oMGDBys1NVWS1Lt3b+3atUsvvfSSMjMzJUnbtm3T5s2btWTJEsXHx0uSwsLClJSUpI0bNyopKUmStGTJEjVv3lzz589XQECAYmNjVVRUpMWLF2v06NEKCAjwQLUAAPgeejUAAK686hTx31NYWKi9e/dq0KBBTsuTkpKUl5eniooKSVJubq5sNpvi4uKMMeHh4ercubNyc3ONZbm5uUpMTHRqzklJSSotLdW2bdtquRoAAOofejUA4FLmlQF7yJAh6ty5sxITE/Xyyy+rsrJSkpSfny/pzBHu32rfvr1OnTqlwsJCY1xYWJgsFovTuPDwcGMb5eXl+umnnxQeHu4yxmKxGOMAAIArejUAAK686hTxFi1aaNKkSerRo4csFos++ugjLViwQIcPH9b06dNVUlIiSbLZbE6vq/q6an1paanTdWFVgoOD9e2330o6c2OVc20rICBAgYGBxrZqys/PK49d1EhVLdTk3ajp4reH6rvQ94733qWlPvVqT6rt91J9fM9Sk2+gJt9ATZ7jVQG7T58+6tOnj/F1fHy8GjZsqKVLl2rChAl1OLPqs9kC63oKpqMm30BNqA0X8zOojz+n+liTu+pTr/YkT72X6uN7lpp8AzX5BmqqfV4VsM9l0KBBevXVV7Vz504FBwdLOnNEu0WLFsaY0tJSSTLW22w2HTp0yGVbJSUlxpiqo+ZVR8erVFRU6MSJE8a4miotPaHKSrtb2/AWfn5W2WyB1OTlqOnit4fqu9DPgPeee2y2QK87+l5dvtqrPam230v8HvoGavIN1OQbvLVXe33A/q2qa7Dy8/OdrsfKz89XgwYN1KZNG2NcXl6eHA6H07VdBQUF6tixoyQpKChIrVq1crl+q6CgQA6Hw+V6r+qqrLTr9On68eatQk2+gZpQGy7mZ1Aff071saba5ku92pM89V6qj+9ZavIN1OQbqKn2ef0h85ycHPn5+alLly5q06aN2rVrpw0bNriMiY2NNe4wmpCQoJKSEuXl5RljCgoKtGPHDiUkJBjLEhIStGnTJp06dcppWzabTdHR0bVcGQAA9QO9GgCAM7zqE+yUlBTFxMQoIiJCkrRp0yatXLlSf/rTn4zTzCZNmqSHHnpIoaGhiomJUU5Ojr7++mu98cYbxnaio6MVHx+vtLQ0TZ06VQ0bNtRzzz2niIgIDRgwwGl/2dnZevDBB3XHHXdo165dWrJkiaZMmcJzNQEAOAd6NQAA5+dVATssLEyrV6/WoUOHZLfb1a5dO6WlpWn06NHGmCFDhujEiRPKzMxURkaGwsLClJ6e7nIUe8GCBZo9e7amT5+u06dPKz4+Xo899pj8/f9bctu2bbVkyRLNmTNH48ePV0hIiCZPnqwxY8Z4rGYAAHwJvRoAgPOzOBwOR11Poj4qLj7uVdcCuMPf36rmzRtTk5ejpovfXur8/9Oeg971eJ8bo6/WQ3f19Lq5tb86WAse+MMFfwa899wTEtLY529y5qs88ft2Mb9DZuD30DdQk2+gJt/grb2ajg4AAAAAgAkI2AAAAAAAmMCrrsEGAACoj2r7MgAuMwAA70DABgAAqCXNmjaU3e6QzRZY6/uy252fKQ4A8DwCNgAAQC1pEthAVqtFc5d/qQOHy2ptP61bNtVDo66T1UrABoC6RMAGAACoZQcOl3nVEwIAALWDC3YAAAAAADABARsAAAAAABMQsAEAAAAAMAEBGwAAAAAAExCwAQAAAAAwAQEbAAAAAAATELABAAAAADABARsAAAAAABO4FbCPHDli1jwAAEAtoFcDAOA5bgXsP/zhDxozZozWrFmj8vJys+YEAABMQq8GAMBz3ArYkydP1pEjRzRt2jTFxcXpoYceUm5urux2u1nzAwAAbqBXAwDgOf7uvHjChAmaMGGCduzYoezsbK1fv17vvvuuLrvsMg0ePFg33XSTIiMjzZorAACoJno1AACe41bArtKlSxd16dJFDz/8sD755BNlZ2crKytLr7/+usLCwpScnKzk5GRdddVVZuwOAABUE70aAIDaZ+pdxC0Wi6677jrdeOON6tGjhxwOh/bt26f09HT179/fOE0NAADUDXo1AAC1x5RPsCUZR8M3btyoY8eOqWPHjpo6dapuuukm+fn5KSsrSy+//LIefvhh/eMf/zBrtwAA4CLRqwEAqF1uBezvv/9e69at0/r163XkyBFdfvnlGjFihIYNG6aIiAinsSkpKWrYsKGeeeYZtyYMAAAuHr0aAADPcStgDxs2TI0aNVJiYqKGDRumuLg4Wa3nP+v8mmuuUVRUlDu7BAAA1UCvBgDAc9wK2E8//bQGDhyoxo0bX9T43r17q3fv3u7sEgAAVAO9GgAAz3ErYA8fPtyseQAAgFpArwYAwHPcuov4smXLlJKSct71Y8eO1YoVK9zZBQAAcAO9GgAAz3ErYL/99ttq3779eddfc801WrlypTu7AAAAbqBXAwDgOW4F7MLCwgs27fDwcO3fv9+dXQAAADfQqwEA8By3AnaDBg30888/n3f9kSNHLninUgAAULvo1QAAeI5bHbVHjx565513dOzYMZd1ZWVlysrKUo8ePdzZBQAAcAO9GgAAz3HrLuITJ07UXXfdpWHDhunuu+/WNddcI0n68ccftXTpUv3888+aN2+eKRMFAADVR68GAMBz3ArYPXr00OLFizV9+nTNmjVLFotFkuRwONS6dWstWrRI0dHRpkwUAABUH70aAADPcStgS1JcXJw++OAD7dixw7hJSmhoqLp27Wo0cQAAUHfo1QAAeIbbAVuSrFarunXrpm7dupmxOQAAYDJ6NQAAtc+UgL17924VFhaqpKTknOuHDRtmxm4AAEAN0asBAKh9bgXs/fv3629/+5u+/vprORyOc46xWCw0bQAA6gi9GgAAz3ErYE+fPl27du1SWlqaevbsKZvNZta8AACACejVAAB4jlsBe+vWrbr33ns1evRos+YDAABMRK8GAMBzrO68uHnz5mratKlZcwEAACajVwMA4DluBezbb79d69atU2VlpVnzAQAAJqJXAwDgOW6dIt6uXTvZ7XYNHTpUt9xyi6688kr5+fm5jBswYIA7uwEAADVErwYAwHPcCthTpkwx/vzMM8+cc4zFYtHOnTvd2Q0AAKghejUAAJ7jVsBetmyZWfMAUI9YrRZZrRa3t+PnZ3X6v1nbAy4l9GoAADzHrYDdq1cvs+YBoJ6wWi1q1izI1DBrswWati3gUkOvBgDAc9wK2FUqKir03Xff6ddff9W1116rkJAQMzYLwAdZrRb5+Vk1d/mXOnC4rK6n4+TaTlfoT0ld6noaQJ2gVwMAUPvcDtjLli1Tenq6ysrO/EP61VdfVWxsrIqKijRo0CD97W9/04gRI9yeKADfcuBwmfYcLKnraThpfUWTup4CUCfo1QAAeIZb53CuXr1aTz/9tPr06aNZs2bJ4XAY60JCQtS7d2/l5OS4PUkAAFAz9GoAADzHrYD92muvKTExUfPmzVPfvn1d1nft2lU//vijO7sAAABuoFcDAOA5bgXsffv2KSEh4bzrmzVrpqNHj9Zo28ePH1dCQoIiIiL0zTffOK1btWqVBg4cqMjISCUnJ+vjjz92eX1ZWZnS0tLUq1cvRUdHa/LkyTpy5IjLuK1bt2rkyJHq3r27+vbtq4yMDKej+wAA+DJ6NQAAnuNWwLbZbCouLj7v+t27d6tFixY12vbChQtVWVnpsnz9+vV6/PHHNWjQIGVmZioqKkoTJ07UV1995TQuNTVVW7Zs0YwZMzR37lwVFBRo3LhxOn36tDFm3759SklJUYsWLfTyyy/r7rvv1gsvvKBXX321RnMGAMDb0KsBAPActwJ2QkKCVq5cqdLSUpd1P/74o1atWqV+/fpVe7t79uzRihUrNGnSJJd1L7zwggYPHqzU1FT17t1bf//73xUZGamXXnrJGLNt2zZt3rxZs2bNUlJSkhITE/X888/rhx9+0MaNG41xS5YsUfPmzTV//nzFxsbqz3/+s8aMGaPFixeroqKi2vMGAMDb0KsBAPActwJ2amqqKisrNWTIEC1YsEAWi0Vr1qzRQw89pFtuuUUhISG67777qr3dmTNn6vbbb1dYWJjT8sLCQu3du1eDBg1yWp6UlKS8vDyj0ebm5spmsykuLs4YEx4ers6dOys3N9dYlpubq8TERAUEBDhtq7S0VNu2bav2vAEA8Db0agAAPMetgN2yZUtlZWWpT58+eu+99+RwOLR27Vp9/PHHGjx4sFauXFnt52xu2LBBu3bt0l//+leXdfn5+ZLk0szbt2+vU6dOqbCw0BgXFhYmi8XiNC48PNzYRnl5uX766SeFh4e7jLFYLMY4AAB8Gb0aAADPcfs52JdddplmzZqlWbNmqaioSHa7XSEhIbJaq5/dT5w4oTlz5mjKlClq0sT1ebUlJWeeqWuz2ZyWV31dtb60tFRNmzZ1eX1wcLC+/fZbSTKeBXr2tgICAhQYGGhsq6b8/Nw6duFVqmqhJu/mLTXV9f5ROy70c/WW956Z6ltN9OpLh9Vqkb9//Xjf1rffQ4mafAU1+QZvrcntgP1b1T0CfrZFixbpsssu0y233GLSjOqOzRZY11MwHTX5hvpYE+rexbyv6uN7rz7WRK+u35o0aVTXUzBdffw9pCbfQE2+wdtqcitgp6en/+4Yi8VyzlPIznbw4EG9+uqreumll4wj1uXl5cb/jx8/ruDgYElnjmj/9o6nVTduqVpvs9l06NAhl32UlJQYY6qOmlftq0pFRYVOnDhhjKup0tITqqy0u7UNb+HnZ5XNFkhNXs5baqqaB+qXC72vvOW9ZyZP1mSzBdbq0Xd69aXl2LGTOnXK9c7uvoi/W3wDNfkGanJPdXp1rQVsi8Uih8Nx0U37wIEDOnXqlMaPH++y7k9/+pN69OihefPmSTpz3dZvr8fKz89XgwYN1KZNG0lnrs3Ky8sz9l+loKBAHTt2lCQFBQWpVatWLtdvFRQUyOFwuFzvVV2VlXadPl0/3rxVqMk31MeaUPcu5n1VH9979aEmevWlxW53+Px79mz14ffwbNTkG6jJN3hbTW4F7O+//95lmd1u18GDB7VixQp9/vnnyszMvKhtde7cWcuWLXNatnPnTs2ePVtPPvmkIiMj1aZNG7Vr104bNmxQ//79jXE5OTmKjY017jCakJCghQsXKi8vTzfccIOkM814x44dGjt2rPG6hIQEbdq0SX/729/UoEEDY1s2m03R0dHV+2YAAOCF6NUAAHiOqddgS5LValWbNm00depUPfjgg5o5c6ZxNPtCbDabYmJizrmua9eu6tq1qyRp0qRJeuihhxQaGqqYmBjl5OTo66+/1htvvGGMj46OVnx8vNLS0jR16lQ1bNhQzz33nCIiIjRgwABjXEpKirKzs/Xggw/qjjvu0K5du7RkyRJNmTLF6XEgAADUJ/RqAABqh+kB+7euv/56zZ0719RtDhkyRCdOnFBmZqYyMjIUFham9PR0l6PYCxYs0OzZszV9+nSdPn1a8fHxeuyxx+Tv/9+S27ZtqyVLlmjOnDkaP368QkJCNHnyZI0ZM8bUOQMA4K3o1QAAmKdWA/a3335bo0eAVImJidEPP/zgsvzWW2/VrbfeesHXNm3aVE8//bSefvrpC4679tprtXLlyhrPEQAAX0avBgDAPG4F7DVr1pxzeWlpqb744gtt3Ljxd5srAACoPfRqAAA8x62APW3atPOua968ucaPH39RdyUFAHi3Cz2aompdbT5q6nzsdofsdofH9+tL6NUAAHiOWwF706ZNLsssFotsNpuaNGnizqYBAF6gWdOGstsdF/Vs87p4/nllpV1Hj5YTsi+AXg0AgOe4FbCvvvpqs+YBAPBCTQIbyGq1aO7yL3XgcFldT8dJ65ZN9dCo62S1WgjYF0CvBgDAc2r1JmcAgPrhwOEy7TlYUtfTAAAA8GpuBexOnTrJYrFU6zUWi0U7duxwZ7cAAOAi0asBAPActwL2X//6V3344YfavXu34uPjFRYWJknKz8/Xli1b1KFDB/Xv39+UiQIAgOqjVwMA4DluBewrrrhCv/76q7KzsxUeHu60bs+ePbr77rt1xRVX6LbbbnNrkgAAoGbo1QAAeI5bz1RZsmSJ7rrrLpeGLUnt27fXqFGj9Morr7izCwAA4AZ6NQAAnuNWwD506JD8/c//Ibi/v78OHTrkzi4AAIAb6NUAAHiOWwG7Q4cOWrFihQ4fPuyy7tChQ/rnP/+pjh07urMLAADgBno1AACe49Y12I888ojGjh2rgQMHqn///mrbtq0kae/evdq0aZMcDoeeffZZUyYKAACqj14NAIDnuBWwe/bsqZUrV+r555/Xhx9+qJMnT0qSGjVqpPj4eE2aNEkRERGmTBQAAFQfvRoAAM9xK2BLUseOHfXSSy/JbrerqKhIkhQSEiKr1a2zzwEAgEno1QAAeIbbAbuK1WpVw4YNFRQURMMGAMAL0asBAKhdbnfXb775RikpKerRo4diYmL02WefSZKKior0l7/8RZ9++qnbkwQAADVHrwYAwDPcCthbt27VnXfeqX379ik5OVl2u91YFxISomPHjumtt95ye5IAAKBm6NUAAHiOWwH7ueeeU/v27ZWTk6MpU6a4rI+JidH27dvd2QUAAHADvRoAAM9xK2B/8803Gj58uAICAmSxWFzWt2zZUr/88os7uwAAAG6gVwMA4DluBWx/f3+nU83OdvjwYQUFBbmzCwAA4AZ6NQAAnuNWwO7Ro4fef//9c64rLy9XVlaWrr/+end2AQAA3ECvBgDAc9wK2JMnT9a3336r8ePHKzc3V5L0ww8/aNWqVRo+fLiKiop03333mTJRAABQffRqAAA8x+1PsDMyMrRv3z5NnTpVkjRnzhw9/vjjstvtysjIUKdOnUyZKAAAqD56NQAAnuNf0xc6HA4dP35c1157rd5//33t3LlTe/fulcPhUJs2bdStW7dz3kwFAAB4Br0aAADPqnHAPnXqlHr16qUpU6Zo3Lhx6ty5szp37mzm3AAAgBvo1QAAeFaNTxEPCAjQ5ZdfroCAADPnAwAATEKvBgDAs9y6Bvvmm2/W2rVrVVFRYdZ8AACAiejVAAB4To1PEZekiIgIbdq0SUOGDNHNN9+sq6++Wo0aNXIZN2DAAHd2AwAAaoheDQCA57gVsB944AHjz88///w5x1gsFu3cudOd3QAAgBqiVwMA4DnVDtjz589XUlKSOnXqpGXLltXGnAAAgBvo1QAA1I1qB+yMjAx16NBBnTp1Uq9evVRcXKwbbrhBr776qmJjY2tjjgAAoBro1QAA1A23bnJWxeFwmLEZAABQS+jVAADUPlMCNgAAAAAAlzoCNgAAAAAAJqjRXcQPHjyo7777TpJUVlYmSdq3b59sNts5x3ft2rWG0wMAADVBrwYAwPNqFLCff/55l0d9PPnkky7jHP+/vbsPi6rO/z/+mkEwFAbUr1EbmuIuqKiBVkYgXWCpIOF3t9zsW1pqan1T09ZrvdnU3G40v5bmTd5lbTdublq5V2qmpRt52x3VWlsqUGolmSYDioLM+f3hbybHEfPmDDNneD6ui0vnM5/5nM+bc+a8eZ8554xh8NUfAAAEALkaAIC6d94F9tSpU/0xDwAAYBJyNQAAgXHeBfbvf/97f8wDAACYhFwNAEBgcJMzAAAAAABMQIENAAAAAIAJKLABAAAAADABBTYAAAAAACagwAYAAAAAwAQU2AAAAAAAmIACGwAAAAAAE1BgAwAAAABgAgpsAAAAAABMQIENAAAAAIAJKLABAAAAADBBUBXY7733nu68805dd9116tChg7p3766pU6eqvLzcq9+GDRuUrLbFXAAAIABJREFUn5+vjh07qmfPnnrttdd8xqqqqtITTzyh9PR0paSkaODAgSouLvbpV1RUpIEDByolJUXp6emaPn26qqqq/BYjAABWRq5GqLHbbWrQwO73H7vdFuhQAdSBBoGewKkOHz6sTp06qX///oqNjdWuXbs0Z84c7dq1S88995wk6aOPPtLw4cN16623asKECdq2bZv+8pe/qHHjxurVq5dnrEcffVRr1qzRuHHjFBcXpwULFujuu+/W6tWrFR0dLUkqKyvTXXfdpVatWmnOnDkqLS3VtGnTdOzYMU2aNCkgvwMAAIIZuRqhxG63KTa2kcLC/P+ZU02NS+Xlx/y+HACBFVQFdp8+fbwed+3aVREREZo4caJKS0sVFxen+fPnq1OnTvrrX/8qSbruuuu0d+9ezZ4925O09+/frxUrVmjy5Mm69dZbJUkdO3ZUVlaWli1bpiFDhkiSli1bpiNHjmju3LmKjY2VJNXU1GjKlCkaNmyY4uLi6ip0AAAsgVyNUGK32xQWZteMpR9rX2n5r7/gAsXHRWvMHV34FBuoB4LqFPEzcSfT6upqVVVVafv27V5HvyUpNzdXRUVF2rdvnyRp06ZNcrlcXv1iY2OVnp6ugoICT1tBQYHS0tI8y5CknJwcuVwubd682Z9hAQAQMsjVsLp9peUq+q7Mbz/+LN4BBJegLLBramp0/PhxffHFF5o3b56ys7MVHx+vPXv2qLq6WgkJCV7927RpI0me67aKi4vVrFkzxcTE+PQ79dqu4uJin7EcDoeaN29+xmvAAADASeRqAAB8BdUp4m5ZWVkqLS2VJHXr1k1PPvmkpJPXYUknE+up3I/dzzudTs+1W6f3c/dx9zt9LEmKiYnx6nch6uJanrrijoWYgluwxBTo5aP+8cc2Fyzvp2AWCrk6FLlv2BUK6uJ9WNfvcfcp4qG0bwnF/SUxWUOwxhSUBfaiRYtUWVmp3bt3a/78+br33nv1/PPPB3pa58XhiAz0FExHTNYQijEBZ+PPbZ73U+1CIVeHoqioSwI9BdOF0vvQvX5CKSY3YrIGYvK/oCyw27ZtK0lKTU1Vx44d1adPH61fv16//e1vJcnnq0CcTqckeU4zczgcqqio8BnX6XR6nYrmcDh8xpJOHl0//ZS18+V0VqqmxnVRYwSLsDC7HI5IYgpywRKTex5AXfHHNl+X7yeHIzLojr6fi1DI1aGoouKYqqtrAj0NU9TF+7Cuc1ZFxTFFRV0S8FxtpmD5+8NMxGQNwZqrg7LAPlVSUpLCw8O1Z88eZWdnKzw8XMXFxerWrZunj/saLPc1WgkJCfrpp598ku/p13ElJCT4XL9VXl6uAwcO+Fzvdb5qalw6cSI0Nl43YrKGUIwJOBt/bvO8n86NVXN1KHK5jJDbZkPpfehyGZJCKyY3YrIGYvK/oD9k/tlnn6m6ulrx8fGKiIhQ165d9fbbb3v1WbNmjdq0aaP4+HhJUkZGhux2u9atW+fpU1ZWpk2bNikzM9PTlpmZqS1btniOqkvS2rVrZbfblZ6e7ufIAAAIDeRqAABOCqpPsIcPH64OHTooKSlJl1xyib766istWbJESUlJuvHGGyVJ9913nwYMGKCHH35YOTk52r59u1atWqWZM2d6xrnssst06623avr06bLb7YqLi9PChQsVHR2tfv36efr169dPL730ku6//34NGzZMpaWlmj59uvr168f3agIAcAbkagAAahdUBXanTp20Zs0aLVq0SIZh6IorrlDfvn01ePBgRURESJKuvvpqzZkzR7NmzdKKFSv0m9/8Ro8++qhycnK8xnrooYfUuHFjPfnkkzpy5Ig6d+6s559/3uuOpTExMXrhhRf0yCOP6P7771fjxo116623avTo0XUaNwAAVkGuBgCgdkFVYA8dOlRDhw791X7du3dX9+7dz9onIiJCY8eO1dixY8/ar02bNvrb3/52PtMEAKDeIlcDAFC7oL8GGwAAAAAAK6DABgAAAADABBTYAAAAAACYgAIbAAAAAAATUGADAAAAAGACCmwAAAAAAExAgQ0AAAAAgAkosAEAAAAAMAEFNgAAAAAAJqDABgAAAADABBTYAAAAAACYoEGgJwDgwtntNtntNklSWJjd699ACfTyAQAAgEChwAYsym63KTa2kU9B63BEBmhGAAAAQP1GgQ1YlN1uU1iYXTOWfqx9peWBno5H57aXakBu+0BPAwAAAKhzFNiAxe0rLVfRd2WBnoZH/KVRgZ4CAAAAEBBcLAkAAAAAgAkosAEAAAAAMAEFNgAAAAAAJqDABgAAAADABBTYAAAAAACYgAIbAAAAAAATUGADAAAAAGACCmwAAAAAAExAgQ0AAAAAgAkosAEAAAAAMAEFNgAAAAAAJqDABgAAAADABBTYAAAAAACYgAIbAAAAAAATUGADAAAAAGACCmwAAAAAAExAgQ0AAAAAgAkosAEAAAAAMAEFNgAAAAAAJqDABgAAAADABBTYAAAAAACYgAIbAAAAAAATUGADAAAAAGACCmwAAAAAAExAgQ0AAAAAgAkosAEAAAAAMAEFNgAAAAAAJqDABgAAAADABBTYAAAAAACYgAIbAAAAAAATUGADAAAAAGACCmwAAAAAAExAgQ0AAAAAgAmCqsB+6623dN999ykzM1MpKSnq06ePVqxYIcMwvPotX75cPXv2VMeOHZWfn6+NGzf6jFVeXq4JEybo2muvVWpqqkaOHKkff/zRp98nn3yi2267TZ06dVJWVpYWLVrkszwAAHASuRoAgNoFVYH9t7/9TZGRkRo3bpzmz5+vzMxMTZw4UfPmzfP0Wb16tSZOnKicnBwtXrxYKSkpGj58uD799FOvsUaNGqXNmzfr4Ycf1owZM1RSUqIhQ4boxIkTnj7ffvutBg8erObNm2vhwoW66667NHv2bD333HN1FjMAAFZCrgYAoHYNAj2BU82fP19Nmzb1PE5LS9Phw4f1/PPP63//939lt9s1e/Zs9e7dW6NGjZIkXXfdddq5c6fmzZunxYsXS5IKCwu1adMmLVmyRBkZGZKk1q1bKzc3V+vWrVNubq4kacmSJWrSpImeeuopRUREKC0tTYcOHdKCBQvUv39/RURE1PFvAACA4EauBgCgdkH1CfapCdutXbt2qqio0NGjR7V371598803ysnJ8eqTm5urrVu3qqqqSpJUUFAgh8Oh9PR0T5+EhAS1a9dOBQUFnraCggJ1797dKznn5ubK6XSqsLDQ7PAAALA8cjUAALULqgL7TD7++GPFxcUpKipKxcXFkk4e4T5VmzZtVF1drb1790qSiouL1bp1a9lsNq9+CQkJnjGOHj2qH374QQkJCT59bDabpx8AADg7cjUAACcF1Snip/voo4+0Zs0ajR07VpJUVlYmSXI4HF793I/dzzudTkVHR/uMFxMTox07dkg6eWOVM40VERGhyMhIz1gXKiws6I9dnDN3LMQUXKw8d8BM/ngvhMI+oq5YOVeHIrvdpgYNQmO7rYv3YV2/x+12W0CW60+huL8kJmsI1piCtsDev3+/Ro8era5du2rAgAGBns55czgiAz0F0xETgGDkz/cx+4izs3quDkVRUZcEegqmC6X3oXv9hFJMbsRkDcTkf0FZYDudTg0ZMkSxsbGaM2eO7PaTRyViYmIknTyi3bx5c6/+pz7vcDi0f/9+n3HLyso8fdxHzd1Hx92qqqpUWVnp6XfhMVSqpsZ1UWMEi7AwuxyOSGIKMu4YgPrOH+/jutxHOByRQXf0/VyEQq4ORRUVx1RdXRPoaZiiLt6HdZ1LKyqOKSrqEkv//XG6UPib6nTEZA3BmquDrsA+duyYhg0bpvLycv3jH//wOn3MfQ1WcXGx1/VYxcXFCg8PV4sWLTz9tm7dKsMwvK7tKikpUWJioiSpUaNGuvzyy32u3yopKZFhGD7Xe52vmhqXTpwIjY3XjZgABCN/vo/ZR5xZqOTqUORyGSG3zYbS+9DlOvn97aEUkxsxWQMx+V9QHTI/ceKERo0apeLiYj377LOKi4vzer5FixZq1aqV1q5d69W+Zs0apaWlee4wmpmZqbKyMm3dutXTp6SkRF9++aUyMzM9bZmZmXr33XdVXV3tNZbD4VBqaqo/QgQAwNLI1QAA1C6oPsGeMmWKNm7cqHHjxqmiokKffvqp57n27dsrIiJCI0aM0JgxY9SyZUt17dpVa9as0eeff66XX37Z0zc1NVUZGRmaMGGCxo4dq4YNG2rmzJlKSkpSjx49PP0GDx6sN998U3/60590++23a+fOnVqyZIlGjx7N92oCAHAG5GoAAGoXVAX25s2bJUnTpk3zee7dd99VfHy88vLyVFlZqcWLF2vRokVq3bq15s6d63MUe9asWZo6daomTZqkEydOKCMjQw899JAaNPgl5CuvvFJLlizRtGnTNHToUDVt2lQjR47UoEGD/BsoAAAWRa4GAKB2QVVgb9iw4Zz69e3bV3379j1rn+joaD3++ON6/PHHz9qvc+fOevXVV895jgAA1GfkagAAahdU12ADAAAAAGBVFNgAAAAAAJiAAhsAAAAAABNQYAMAAAAAYAIKbAAAAAAATBBUdxEHAADAhbPbbWrQwL+fn7hchlwuw6/LAACrosAGAACwuNjohnK5DEVFXeL3ZdXUuHT48FGKbAA4AwpsAAAAi4uKDJfdbtOMpR9rX2m535YTHxetMXd0kd1uo8AGgDOgwAYAAAgR+0rLVfRdWaCnAQD1Fjc5AwAAAADABBTYAAAAAACYgAIbAAAAAAATcA02AAAAgo7NZpMkhYX57/Mgf44NoH6iwAYAAEBQsdttio4++ZVjDkdkgGcDAOeOAhsAAABBxW63KSzM7vevHevc9lINyG3vt/EB1D8U2AAAAAhK/v7asfhLo/w2NoD6iQtPAAAAAAAwAZ9gAwAAAHXAbvf/jdskyeUy5HIZfl0GgDOjwAYAAAD8KDa6oVwuQ1FRdXPjtpoalw4fPkqRDQQABTYAAADgR1GR4bLbbX6/aZskxcdFa8wdXWS32yiwgQCgwAYAAADqgL9v2gYg8LjJGQAAAAAAJqDABgAAAADABBTYAAAAAACYgAIbAAAAAAATUGADAAAAAGACCmwAAAAAAExAgQ0AAAAAgAkosAEAAAAAMAEFNgAAAAAAJqDABgAAAADABBTYAAAAAACYgAIbAAAAAAATUGADAAAAAGCCBoGeAAAAAKwlLMy/n9H4e3wA8BcKbAAAAJyT2OiGcrkMORyRgZ4KAAQlCmwAAACck6jIcNntNs1Y+rH2lZb7bTmd216qAbnt/TY+APgLBTYAAADOy77SchV9V+a38eMvjfLb2ADgT1zgAgAAAACACSiwAQAAAAAwAQU2AAAAAAAmoMAGAAAAAMAEFNgAAAAAAJiAAhsAAAAAABNQYAMAAAAAYAIKbAAAAAAATECBDQAAAACACSiwAQAAAAAwQVAV2N9++60mTZqkPn36qH379srLyztjv+XLl6tnz57q2LGj8vPztXHjRp8+5eXlmjBhgq699lqlpqZq5MiR+vHHH336ffLJJ7rtttvUqVMnZWVladGiRTIMw/TYAAAIBeRqAABqF1QF9q5du/Tee+/pyiuvVJs2bc7YZ/Xq1Zo4caJycnK0ePFipaSkaPjw4fr000+9+o0aNUqbN2/Www8/rBkzZqikpERDhgzRiRMnPH2+/fZbDR48WM2bN9fChQt11113afbs2Xruuef8GicAAFZFrgYAoHYNAj2BU2VnZ+vGG2+UJI0bN047duzw6TN79mz17t1bo0aNkiRdd9112rlzp+bNm6fFixdLkgoLC7Vp0yYtWbJEGRkZkqTWrVsrNzdX69atU25uriRpyZIlatKkiZ566ilFREQoLS1Nhw4d0oIFC9S/f39FRETURdgAAFgGuRoAgNoF1SfYdvvZp7N371598803ysnJ8WrPzc3V1q1bVVVVJUkqKCiQw+FQenq6p09CQoLatWungoICT1tBQYG6d+/ulZxzc3PldDpVWFhoRkgAAIQUcjUAALULqgL71xQXF0s6eYT7VG3atFF1dbX27t3r6de6dWvZbDavfgkJCZ4xjh49qh9++EEJCQk+fWw2m6cfAAA4d+RqAEB9FlSniP+asrIySZLD4fBqdz92P+90OhUdHe3z+piYGM+pbOXl5WccKyIiQpGRkZ6xLlRYmKWOXZyVO5b6GpPNZpPdbvvVfnUtGOcEBII/9k2huN+rK1bK1UAoq6v9VyjuL4nJGoI1JksV2FbicEQGegqmq68xuVwGxSwQxPy5bwrF/R6A+qGu91+huL8kJmsItpgsVWDHxMRIOnlEu3nz5p52p9Pp9bzD4dD+/ft9Xl9WVubp4z5q7j467lZVVaXKykpPvwvldFaqpsZ1UWMEi7AwuxyOyHoZk7vfjKUfa19pea39AqFz20s1ILd9oKcBBJw/9k11ud9zOCKD7uj7xbBSrgZCWV393Vaf/060EmK6OOeTqy1VYLuvwSouLva6Hqu4uFjh4eFq0aKFp9/WrVtlGIbXtV0lJSVKTEyUJDVq1EiXX365z/VbJSUlMgzD53qv81VT49KJE6Gx8brV55j2lZar6LvgOhUx/tKoQE8BCAr+3DeF4n7P36yUq4FQVtf7r1DcXxKTNQRbTJY6ZN6iRQu1atVKa9eu9Wpfs2aN0tLSPHcYzczMVFlZmbZu3erpU1JSoi+//FKZmZmetszMTL377ruqrq72GsvhcCg1NdXP0QAAzBAWZleDBub+nHpd14W8vj5fVkKuBgDUZ0H1CXZlZaXee+89SdJ3332niooKT4K+9tpr1bRpU40YMUJjxoxRy5Yt1bVrV61Zs0aff/65Xn75Zc84qampysjI0IQJEzR27Fg1bNhQM2fOVFJSknr06OHpN3jwYL355pv605/+pNtvv107d+7UkiVLNHr0aL5XEwCCXGx0Q7lcRlBeg11T49Lhw0flchkmzyjwyNUAANQuqArsgwcP6oEHHvBqcz9+8cUX1bVrV+Xl5amyslKLFy/WokWL1Lp1a82dO9fnKPasWbM0depUTZo0SSdOnFBGRoYeeughNWjwS8hXXnmllixZomnTpmno0KFq2rSpRo4cqUGDBvk/WADARYmKDJfdbgu6eyTEx0VrzB1dZLfbQrLAJlcDAFC7oCqw4+Pj9fXXX/9qv759+6pv375n7RMdHa3HH39cjz/++Fn7de7cWa+++up5zdPK7Pbz/8qpuroFvstlhOQfowD8KxjvkRDKyNUAANQuqAps+JfdblNsbKMLLpT9fQv8UD6lEgAAAEDoo8CuR+x2m8LC7EF3OqUU+qdUAgAAAAh9FNj1EKdTAgAAAID5LPU1XQAAAAAABCsKbAAAAAAATMAp4ggq/r5T+enL+bXl1dV8AAAAAFgfBTaCQmx0Q7lcht/vVH66ul4eAAAAgNBFgY2gEBUZLrvdFnR3OO/c9lINyG0f6GkAAAAAsAAKbASVYLvDefylUYGeAgAAAACL4AJTAAAAAABMQIENAAAAAIAJKLABAAAAADABBTYAAAAAACagwAYAAAAAwAQU2AAAAAAAmIACGwAAAAAAE1BgAwAAAABgAgpsAAAAAABMQIENAAAAAIAJKLABAAAAADABBTYAAAAAACagwAYAAAAAwAQU2AAAAAAAmIACGwAAAAAAE1BgAwAAAABgAgpsAAAAAABMQIENAAAAAIAJKLABAAAAADABBTYAAAAAACagwAYAAAAAwAQU2AAAAAAAmIACGwAAAAAAE1BgAwAAAABgAgpsAAAAAABMQIENAAAAAIAJKLABAAAAADBBg0BPAAAAAIC5wsL8/zmay2X4fRmA1VBgAwAAACEiNrqhXC5DDkek35dVU+NSefkxvy8HsBIKbAAAACBEREWGy263acbSj7WvtNxvy4mPi9aYO7rIbrf5bRmAFVFgAwAAACFmX2m5ir4rC/Q0gHqHm5wBAAAAAGACCmwAAAAAAExAgQ0AAAAAgAkosAEAAAAAMAEFNgAAAAAAJqDABgAAAADABBTYAAAAAACYgO/B9pOwsOA7dhGMcwIAAACAUEGBLamoqEiPPvqoCgsL1bhxY/Xp00ejRo1SRETEBY1nGIYcjkiTZwkAQP1ldq4GAMAf6n2BXVZWprvuukutWrXSnDlzVFpaqmnTpunYsWOaNGnSBY1ps9k0Y+nH2ldabvJsL07ntpdqQG77QE8DAIDz4o9cDQCAP9T7AnvZsmU6cuSI5s6dq9jYWElSTU2NpkyZomHDhikuLu6Cxt1XWq6i78rMnOpFi780KtBTAADgvPkrVwO4eHa7TZJ/L0V0uQy5XIbfxgfMVO8vyi0oKFBaWponYUtSTk6OXC6XNm/eHMCZAQAAiVwNBKPY6IZyuQxFRV0iSXI4ItWkSWO//MTGNvIU8kCwq/efYBcXF+uWW27xanM4HGrevLmKi4sDNCsAAOBGrgaCT1RkuOx2/18WGR8XrTF3dFF4eJhqalx+W47EJ+Uwh80wjHq9FSUnJ+uBBx7Q0KFDvdrz8vKUmpqqRx555ILGPVx+XCf8vBM4Xw0jwhTdKIK5nYdgnZcUvHML1nlJzO1CBOu8pOCdW4Mw+///ZMelc8mwdrtNNhufzJyNlXN1XW2nLIfl1PWy6mo5EeF2RTeKqJP9pGGcLLBtNslut5/zftwKiOninE+urvefYPtLbHTDQE+hVszt/AXrvKTgnVuwzktibhciWOclBe/c7PZ6fxVW0KvLbaeulsVyWE5dLytY98EXwmazKSzslyIqFPfjxOR/wTWbAHA4HCov9z2tpaysTDExMQGYEQAAOBW5GgBgFfW+wE5ISPC5fqu8vFwHDhxQQkJCgGYFAADcyNUAAKuo9wV2ZmamtmzZIqfT6Wlbu3at7Ha70tPTAzgzAAAgkasBANZR729yVlZWpt69e6t169YaNmyYSktLNW3aNN18882aNGlSoKcHAEC9R64GAFhFvS+wJamoqEiPPPKICgsL1bhxY/Xp00ejR49WREREoKcGAABErgYAWAMFNgAAAAAAJqj312ADAAAAAGAGCmwAAAAAAExAgQ0AAAAAgAkosAEAAAAAMAEFNgAAAAAAJqDABgAAAADABBTYJioqKtLAgQOVkpKi9PR0TZ8+XVVVVYGelr799ltNmjRJffr0Ufv27ZWXl3fGfsuXL1fPnj3VsWNH5efna+PGjT59ysvLNWHCBF177bVKTU3VyJEj9eOPP/r0++STT3TbbbepU6dOysrK0qJFi2TWN8K99dZbuu+++5SZmamUlBT16dNHK1as8BnfKvFI0nvvvac777xT1113nTp06KDu3btr6tSpKi8v9+q3YcMG5efnq2PHjurZs6dee+01n7Gqqqr0xBNPKD09XSkpKRo4cKCKi4t9+tX19nrkyBFlZmYqKSlJ//73v72es8q6ev3115WUlOTzM2PGDEvGc6o33nhD//3f/62OHTuqa9euuueee3Ts2DHP81ba9vr373/G9ZSUlKTVq1d7+llxPeHikat/Qa4+P+Rqa6wrcrU1tr2QztUGTHH48GEjPT3duOOOO4yCggJj+fLlRpcuXYwpU6YEemrG+vXrjczMTGPEiBFGXl6e0bt3b58+q1atMpKSkoyZM2caW7duNSZOnGi0b9/eKCws9Oo3aNAgIzMz01i9erXxzjvvGHl5eUZ+fr5RXV3t6fPNN98YKSkpxv33329s2bLFeP75543k5GTj2WefNSWeP/7xj8bo0aON1atXG1u2bDFmzJhhtG3b1pgzZ44l4zEMw1i5cqXxxBNPGGvXrjW2bdtmvPTSS8a1115rDBw40NPnww8/NNq1a2dMnDjR2Lp1qzFz5kwjKSnJeOutt7zGmjhxotGlSxdj+fLlRkFBgfE///M/Rrdu3Qyn0+npE4jtdfr06cb1119vJCYmGp9//rmn3Urr6rXXXjMSExONgoICo7Cw0PPz/fffWzIet2eeecZITU01Fi5caGzfvt1Yu3atMXnyZKOiosIwDOtte7t27fJaP4WFhcaoUaOM9u3bGwcPHjQMw5rrCRePXE2uvhjkamusK3K1Nba9UM7VFNgmWbBggZGSkmL8/PPPnrZly5YZ7dq1M/bv3x/AmRlGTU2N5/9jx449Y9Lu0aOH8eCDD3q13XbbbcY999zjefzJJ58YiYmJxvvvv+9pKyoqMpKSkozVq1d72iZOnGhkZWUZx48f97Q9+eSTxtVXX+3VdqHcb7pTPfTQQ0bnzp09sVopntr84x//MBITEz3bz6BBg4zbbrvNq8+DDz5o5OTkeB7/8MMPRrt27Yxly5Z52n7++WcjJSXFWLRokaetrrfX3bt3GykpKcYrr7zik7SttK7cSftM26AV43Evt3379sa//vWvWvtYedtzy87ONoYMGeJ5bLX1BHOQq8nVZiNXB9+6Ilf/wirbnluo5GpOETdJQUGB0tLSFBsb62nLycmRy+XS5s2bAzgzyW4/+2reu3evvvnmG+Xk5Hi15+bmauvWrZ7TQQoKCuRwOJSenu7pk5CQoHbt2qmgoMDTVlBQoO7duysiIsJrLKfTqcLCwouOp2nTpj5t7dq1U0VFhY4ePWq5eGrj3paqq6tVVVWl7du3q1evXj4xFRUVad++fZKkTZs2yeVyefWLjY1Venq6T0x1ub0++uij6tevn1q3bu3VHirrys2K8bz++uuKj4/XDTfccMbnrb7tSSdPCdu3b59uvvlmSdZcTzAHuZpcbTZytXXWlZsV4yFXe8cUrOvJjQLbJMXFxUpISPBqczgcat68+Rmvawgm7vmdvkNt06aNqqurtXfvXk+/1q1by2azefVLSEjwjHH06FH98MMPPr+LhIQE2Ww2v/0uPv74Y8XFxSkqKsrS8dTU1Oj48eP64osvNG/ePGVnZys+Pl6JG0yxAAARnElEQVR79uxRdXW1zzzatGnjicX9b7NmzRQTE+PT79S51uX2unbtWu3cuVP333+/z3NWXVd5eXlq166dunfvroULF6qmpsay8Xz22WdKTEzUM888o7S0NHXo0EH9+vXTZ599JkmW3vbcVq1apUaNGql79+5ec7bSeoI5yNXkajOQq3+ZbzCvK3K1NbY9t1DK1Q1MHa0eczqdcjgcPu0xMTEqKysLwIzOnXt+p8/f/dj9vNPpVHR0tM/rY2JitGPHDkny3Ojj9LEiIiIUGRnpl9/FRx99pDVr1mjs2LFe87ViPFlZWSotLZUkdevWTU8++aTXnC80JofD4TXXutpeKysrNW3aNI0ePVpRUVE+z1ttXTVv3lwjRozQVVddJZvNpg0bNmjWrFkqLS3VpEmTLBePJB04cEA7duzQzp07NXnyZEVGRmrBggUaNGiQ1q1bZ9ltz+3EiRN66623lJ2drUaNGnnN2UrrCeYgV5OrzUCultfjYFtX5Orzj4lcbW5MFNiwtP3792v06NHq2rWrBgwYEOjpXLRFixapsrJSu3fv1vz583Xvvffq+eefD/S0Ltj8+fPVrFkz3XLLLYGeiim6deumbt26eR5nZGSoYcOGeuGFF3TvvfcGcGYXzjAMHT16VE8//bTatm0rSbrqqquUnZ2tl19+WRkZGQGe4cXZvHmzDh06VOsdmQH4H7k6uJGrgx+52lo4RdwkDofD52sapJNHV04/DSPYuOd3+vydTqfX8w6HQxUVFT6vPzVG9xGk08eqqqpSZWWlqb8Lp9OpIUOGKDY2VnPmzPFcv2bVeCSpbdu2Sk1NVd++ffXMM89o+/btWr9+/UXH5HQ6veZaF9vrd999p+eee04jR45UeXm5nE6njh49KunkqTpHjhyx9Lpyy8nJUU1Njf7zn/9YMh6Hw6HY2FhPwpZOXo/Vvn177d6925Lb3qlWrVql2NhYrz8+rLieYA5yNbnaDOTq84srGPaZ5Org2/ZOFWq5mgLbJKee5+9WXl6uAwcO+JzvH2zc8zt9/sXFxQoPD1eLFi08/UpKSny+L66kpMQzRqNGjXT55Zf7jOV+nVm/i2PHjmnYsGEqLy/Xs88+63VqiBXjOZOkpCSFh4drz549atmypcLDw88YkzsW978//fSTz6kup19LUxfb6759+1RdXa2hQ4fqmmuu0TXXXOM5cjxgwAANHDgwZNaVmxXj+e1vf1vrc8ePH7fktud27NgxvfPOO+rVq5fCw8O95nBqDKfONVjXE8xBriZXm41cbZ115WbFeMjV3nMN1vXkRoFtkszMTG3ZssVzVEU6ecMIu93udVe7YNSiRQu1atVKa9eu9Wpfs2aN0tLSPHfby8zMVFlZmbZu3erpU1JSoi+//FKZmZmetszMTL377ruqrq72GsvhcCg1NfWi53vixAmNGjVKxcXFevbZZxUXF2fpeGrz2Wefqbq6WvHx8YqIiFDXrl319ttv+8TUpk0bxcfHSzp5GpTdbte6des8fcrKyrRp0yafmPy9vbZr104vvvii18/48eMlSVOmTNHkyZNDYl2tWbNGYWFhat++vSXjycrK0uHDh/Wf//zH0/bzzz/riy++UHJysiW3PbcNGzbo6NGjnjuSullxPcEc5GpytdnI1dZYV+Tq4Nv23EIxV4c9/PDDD5s6Yj31u9/9TsuXL9eWLVt06aWX6sMPP9QTTzyhW265Rb179w7o3CorK/Xuu+9q9+7d2rx5s3766Sdddtll2r17t5o2barIyEg1adJEc+fOlcvlkiQtXrxYGzdu1NSpU3X55ZdLki6//HJ9+umnWrFiheLi4rR3715NnjxZzZs314QJEzynfSUkJOj555/XV199pdjYWG3YsEFz587ViBEjdM0111x0PJMnT9bq1as1atQoNWvWTPv37/f8NG3aVGFhYZaKR5KGDx+uPXv2qLy8XPv379c777yjxx57TC1atNC4ceMUFhamK664QvPnz9eBAwcUGRmp119/XUuXLtWkSZP0u9/9TpIUFRWl0tJSvfDCC2rWrJkOHTqkRx55RJWVlZo6daoaNmwoqW6214YNGyo+Pt7r5/jx43rjjTc0fPhwdejQQZIsta4GDx6s0tJSVVRU6Ntvv9Vzzz2npUuXqn///p6vvLBSPNLJu3MWFBRo5cqV+q//+i/t2bNHU6ZMUXl5uaZOnarGjRtbbttze+qpp3T8+HGNHz/e5+6iVltPMAe5mlx9McjV1lhX5GprbHtuIZmrTf1W7Xpu9+7dxl133WV06tTJSEtLM6ZNm2b6F5dfiL179xqJiYln/Nm2bZun36uvvmrcdNNNRnJyspGXl2ds2LDBZyyn02mMHz/euPrqq42UlBRj+PDhZ/zC+Y8//tjo27ev0aFDByMzM9NYuHCh4XK5TIknKyur1nj27t1ruXgMwzAWLlxo9OnTx0hNTTVSUlKM3r17G7NmzTLKy8u9+r3zzjtGXl6ekZycbNx0003G8uXLfcY6fvy4MW3aNCMtLc3o1KmTcffddxu7d+/26ReI7XXbtm1GYmKi8fnnn3u1W2VdPfLII0aPHj2MTp06GR06dDDy8vKMF154wWd8q8TjdvDgQWPMmDFGly5djE6dOhmDBg0ydu3a5dXHatve4cOHjeTkZGP69Om19rHaeoI5yNW/IFefH3K1NdYVudo6216o5mqbYZx2wjoAAAAAADhvXIMNAAAAAIAJKLABAAAAADABBTYAAAAAACagwAYAAAAAwAQU2AAAAAAAmIACGwAAAAAAE1BgAwAAAABgAgpsAAAAAABMQIEN1DMrV65Ur169lJycrKuvvtrT/uyzz6p79+5q166d+vTpI0nKzs7WuHHjAjXVsxo3bpyys7MDPQ0AAExFngasrUGgJwBASkpKOqd+L774orp27XrByykqKtL48ePVrVs3DR06VJdccokkadOmTfq///s/5efna8SIEWrSpMkFL+N0X3zxhf7whz/o3nvv1ejRo8/Y55tvvlHPnj119913a/z48aYtGwAAM5CnydPAuaLABoLA9OnTvR7/85//1ObNm33a27Rpc1HL+eCDD+RyufSXv/xFV155pad927ZtstvteuyxxxQREeFpX7t2rWw220UtMzk5WQkJCVq9enWtiXvVqlWSpPz8/ItaFgAA/kCeJk8D54oCGwgC7lO93D777DNt3rzZp/10lZWVioyMPOflHDx4UJIUHR3t037JJZd4JW1JPo8v1M0336ynn35an376qVJSUnyeX7VqlRISEpScnGzK8gAAMBN5mjwNnCuuwQYson///srLy9OOHTt0xx136KqrrtJTTz0lSXrnnXc0dOhQZWRkqEOHDrrxxhs1b9481dTUeF6fnZ2tOXPmSJLS0tKUlJSkOXPmKCkpSa+//rqOHj2qpKQkz2P3a06/tsvpdOrxxx9Xdna2OnTooMzMTP35z3/WoUOHap37zTffLOmXI+Cn2rFjh0pKSjx9JGnp0qXq3bu3OnTooIyMDE2ZMkVOp/Osv5/t27crKSlJ27dv92rft2+fV0zSyevCUlNT9f3332vYsGFKTU1Vt27dtHTpUknS119/rQEDBiglJUVZWVl68803fZbndDr12GOP6YYbblCHDh100003adGiRXK5XGedJwAgNJGnydOAxCfYgKUcPnxYQ4YMUe/evZWfn69mzZpJkt544w01atRIAwcOVKNGjbRt2zbNnj1bFRUVGjt2rCRpwoQJWrlypdavX6+HH35YjRo1UlJSklq2bKlXX31Vn3/+uR599FFJUufOnc+4/CNHjuiOO+5QUVGRbrnlFrVv314///yzNmzYoNLSUjVt2vSMr2vRooVSU1P11ltvafz48QoLC/M8507m7sQ9Z84czZ07V9dff71uv/12lZSU6JVXXtG///1vvfLKKwoPDzfld1lTU6MhQ4bo6quv1pgxY/Tmm2/qr3/9qyIjIzVz5kzdfPPN6tGjh5YtW6axY8cqJSVFLVq0kHTyE4k777xTpaWl6tevny6//HIVFhbqqaee0oEDB/SXv/zFlDkCAKyFPE2eBmQACDpTpkwxEhMTvdruvPNOIzEx0XjllVd8+ldWVvq0TZw40bjqqquM48ePe9pmz55tJCYmGgcPHvTqO3bsWCMlJcVnjKysLGPs2LGex08//bSRmJhorFu3zqevy+U6a0wvv/yykZiYaLz//vuetpqaGqNbt27GbbfdZhiGYRw8eNBITk42Bg0aZNTU1Pi8dsWKFV5zzsrK8jzetm2bkZiYaGzbts1ruXv37jUSExON1157zeu1iYmJxoIFCzxtZWVlRqdOnYykpCRj9erVnvaioiIjMTHRmD17tqdt3rx5RkpKilFSUuK1rBkzZhjt2rUzvv/++7P+LgAA1kaeJk8DteEUccBCIiIi9Ic//MGn3X2XUUmqqKjQoUOHdPXVV6uyslLFxcWmLX/dunVq27atbrrpJp/nfu0mK7m5uQoPD/c6/eyDDz5QaWmp56j4li1bVF1drQEDBshu/2X31LdvX0VFRem9994zKZJfxnVzOBxq3bq1IiMjlZOT42lPSEiQw+HQ3r17PW1r165Vly5d5HA4dOjQIc/P9ddfr5qaGn344YemzhMAYA3kafI0wCnigIXExcWd8YYmu3bt0qxZs7Rt2zZVVFR4PVdeXm7a8vfs2aMePXpc0GubNGmijIwMrV+/XlOmTFHDhg21atUqNWjQwJMov//+e0knk+WpIiIi1KJFC3333XcXF8ApGjZs6HOqXHR0tC677DKfP0Kio6O9ri379ttv9fXXXystLe2MY5/tOjcAQOgiT5OnAQpswEJOPQLu5nQ6deeddyoqKkojR45Uy5Yt1bBhQ33xxReaMWNGUN3MIz8/Xxs3btTGjRuVnZ2tdevWKT09vdZrws5HbUfma4v/1OvLzqXdMAyvMdPT03XPPfecsW+rVq3OMlMAQKgiT9eOPI36ggIbsLgPPvhAhw8f1ty5c3XNNdd42vft22f6slq2bKldu3Zd8Ouzs7PVuHFjzxHxsrIyr7uS/uY3v5EkFRcXe25UIklVVVXat2+frr/++lrHdjgcknw/CTDzaLpby5YtdfTo0bPOBwAAiTztRp5GfcE12IDFua+BOvXIbVVVlf7+97+bvqwePXroq6++0vr1632eO3X5tbnkkkt000036b333tMrr7yiRo0aqXv37p7nr7/+eoWHh+ull17yGm/FihUqLy/XDTfcUOvYV1xxhcLCwnyuq3rllVfOJbTzkpOTo8LCQr3//vs+zzmdTp04ccL0ZQIArIk8fRJ5GvUFn2ADFpeamqqYmBiNGzdO/fv3l81m0z//+c9zSqTna/DgwXr77bf1wAMP6JZbblFycrLKysq0YcMGTZkyRW3btv3VMfLz87Vy5Upt2rRJN998sxo1auR5rmnTpho2bJjmzp2re+65R9nZ2SopKdHf//53dezYUfn5+bWOGx0drV69eunll1+WzWZTixYt9K9//UsHDx40JfZTDR48WBs2bNC9996r3//+90pOTlZlZaV27typt99+W++++64pp9MBAKyPPH0SeRr1BQU2YHFNmjTRggUL9MQTT2jWrFlyOBzKz89XWlqaBg8ebOqyGjdurKVLl2rOnDlav3693njjDTVr1kxpaWmKi4s7pzGuu+46NW/eXAcOHPA67cxtxIgRatq0qV5++WVNnTpVMTEx+uMf/6gHH3zwV79b86GHHtKJEye0bNkyRUREqFevXvrzn/+svLy8C4q3NpGRkXrppZe0cOFCrV27VitXrlRUVJRatWqlESNGKDo62tTlAQCsizz9C/I06gOb4Y/DZwAAAAAA1DNcgw0AAAAAgAkosAEAAAAAMAEFNgAAAAAAJqDABgAAAADABBTYAAAAAACYgAIbAAAAAAATUGADAAAAAGACCmwAAAAAAExAgQ0AAAAAgAkosAEAAAAAMAEFNgAAAAAAJqDABgAAAADABBTYAAAAAACY4P8BbW/GEhwufbYAAAAASUVORK5CYII=\n",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Statistics: Day time traffic\n",
"============================\n",
"count 27925.000000\n",
"mean 4611.267574\n",
"std 1294.808371\n",
"min 0.000000\n",
"25% 3992.000000\n",
"50% 4761.000000\n",
"75% 5521.000000\n",
"max 7280.000000\n",
"Name: traffic_volume, dtype: float64\n",
"\n",
"\n",
"Statistics: Night time traffic\n",
"==============================\n",
"count 20279.000000\n",
"mean 1398.818334\n",
"std 1047.170978\n",
"min 0.000000\n",
"25% 441.000000\n",
"50% 929.000000\n",
"75% 2456.000000\n",
"max 4939.000000\n",
"Name: traffic_volume, dtype: float64\n"
]
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"import seaborn as sns\n",
"%matplotlib inline\n",
"sns.set(style = \"darkgrid\") #To have better theme for grid display\n",
"\n",
"plt.figure(figsize=(10,6))\n",
"\n",
"# Subplot for day time traffic (6 am to 7 pm)\n",
"plt.subplot(1,2,1)\n",
"plt.title(\"Day Time Traffic\")\n",
"plt.ylim([0, 8000])\n",
"plt.xlim([0, 7500])\n",
"plt.xlabel(\"Traffic Volume\")\n",
"plt.ylabel(\"Frequency\")\n",
"plt.tight_layout() #To ensure labels don't overlap\n",
"day_time_traffic[\"traffic_volume\"].plot.hist()\n",
"\n",
"# Subplot for night time traffic (7 pm to 6 am)\n",
"plt.subplot(1,2,2)\n",
"plt.title(\"Night Time Traffic\")\n",
"plt.ylim([0, 8000])\n",
"plt.xlim([0, 7500])\n",
"plt.xlabel(\"Traffic Volume\")\n",
"plt.ylabel(\"Frequency\")\n",
"plt.tight_layout() #To ensure labels don't overlap\n",
"night_time_traffic[\"traffic_volume\"].plot.hist()\n",
"\n",
"plt.show()\n",
"\n",
"# Describe the two dataset traffic volume series\n",
"print('Statistics: Day time traffic')\n",
"print('='*len('Statistics: Day time traffic'))\n",
"print(day_time_traffic[\"traffic_volume\"].describe())\n",
"print('\\n')\n",
"print('Statistics: Night time traffic')\n",
"print('='*len('Statistics: Night time traffic'))\n",
"print(night_time_traffic[\"traffic_volume\"].describe())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"From the histogram, and statistics on the *Day time vs Night time* traffic volume - We can infer:\n",
"1. Histogram for the day time hours seem to have a slight skew from a symmetric distribution\n",
"2. Histogram for the night time hours seem to have a random distribution\n",
"3. Average day time traffic volume (**4611 cars**) is much higher (3 times) than night time (**1398 cars**)\n",
"4. Oddly, during the night time hours, the maximum number of cars seem to have hit a high of 4939 cars at some point (But this might be an outlier)\n",
"\n",
"Considering our goal to find indicators of heavy traffic, going forward we will only proceed with our day time only dataset.\n",
"\n",
"Next, we will look at one such possible indicators - Time. There might be more people on the road in a certain month, on a certain day, or at a certain time of the day.\n",
"\n",
"We will start our analysis of traffic volume in relation to the certain month.\n",
"\n",
"**Note:** When we extracted the hour, we also extracted the month and day of the week part of the `date_time` and stored in `month` and `day_of_week` columns respectively."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Average Traffic volume: By Month\n",
"\n",
"We will use our `month` column that we had already created from `date_time` to group by and calculate averages."
]
},
{
"cell_type": "code",
"execution_count": 230,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"by_month['traffic_volume'].plot.line(x=\"month\", y=\"traffic_volume\")\n",
"plt.title(\"Average traffic volume by month\")\n",
"plt.xlabel('Month')\n",
"plt.ylabel('Avg. Traffic Volume')\n",
"plt.xlim([1,12])\n",
"# Setting ticks so we can clearly see the movement per month\n",
"plt.xticks(np.arange(1,12,step=1))\n",
"plt.ylim([4200,5000])\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Looking at the line plot above - Few interesting patterns we can observe on the average traffic volume:\n",
"1. It gradually raises from January till June and drops gradually from October to December\n",
"2. Traffic volume seem higher during the warm months (March - October) compared to cold months (November - February)\n",
"3. Only exception during warm months is a sharp drop in July - It is worth investigating if it's reoccurance in all years (such as summer school holidays) or a true outlier (some exception occuring in a particular year).\n",
"\n",
"It seems that warmer months have higher traffic volume than cold months, potentially, the effects of year-end holiday season (Thanksgiving and Christmas).\n",
"\n",
"### Exception Analysis: Huge Drop in July\n",
"\n",
"During the warmer months, there is an exception that the average traffic volume dropped significantly. We will pull data for July across years to see if there is a level of consistency or a true outlier.\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 232,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Seperate only July data and then group by year to get the averages for that month across years\n",
"by_july = day_time_traffic[day_time_traffic[\"month\"] == 7].groupby('year').mean()\n",
"# Line plot by year for average traffiv volume\n",
"by_july['traffic_volume'].plot.line(x=\"year\", y=\"traffic_volume\")\n",
"plt.title(\"July: Average traffic volume over years\")\n",
"plt.xlabel('Year')\n",
"plt.ylabel('Avg. Traffic Volume')\n",
"plt.ylim([3000,5000])\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"From this analysis, it seems that July significant drop happened only in 2016, and seems like an outlier rather than sasonal reoccurance over years.\n",
"\n",
"A quick [google](https://www.google.com/search?q=July+2016+I-94+events&sxsrf=APq-WBvFs94PPmIMzD_1RmjcwyRuVrqYNA%3A1646245545704&source=hp&ei=qbYfYvzlJ9KsgQb-r6noCg&iflsig=AHkkrS4AAAAAYh_Euaph9jRom4Ei20l0nAqKeD6lyV1o&ved=0ahUKEwi83tjHhqj2AhVSVsAKHf5XCq0Q4dUDCAg&uact=5&oq=July+2016+I-94+events&gs_lcp=Cgdnd3Mtd2l6EAM6DgguEIAEELEDEMcBENEDOgsIABCABBCxAxCDAToLCC4QgAQQsQMQgwE6CAguEIAEELEDOhEILhCABBCxAxCDARDHARDRAzoFCC4QgAQ6CAgAEIAEELEDOgUIABCABDoICC4QgAQQ1AI6BQgAELEDOggIABCABBDJAzoGCAAQFhAeOgUIIRCgAVAAWIknYLwoaABwAHgAgAGDBIgB_B-SAQs1LjguMi4xLjIuMpgBAKABAQ&sclient=gws-wiz) using \"July 2016 I-94\" shows Black life matter protests - Resulting conflict with the police caused shut down of the free way for large part of the weekend.\n",
"\n",
"In particular, the protest for the [shooting](https://www.startribune.com/marchers-block-i-94-to-westbound-traffic/386158771/) of Philando Castile (July 6, 2016) happened on weekend (9-10th July, 2016)."
]
},
{
"cell_type": "code",
"execution_count": 233,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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jj9iyZUuzmXFNgVBubi4AwcHBzW7ftWtXsyAjMzOT8vJyBg4c2GJdJSUlLR5vrfOFoStXruSrr74iPT3dbDlja8LT1srKygJoFky2Rvfu3QkLC2PdunWmr4ekpCQ8PT25/vrrAWP3V3V1NaGhoc1uHx4ejl6vJy8vj27duv2NR/Gnv3Z+NXW8du7cudlxvV5PeXk5np6eZGRkYDAYztvJZmPTupcEf/0+EBwcjFKpJDs723Rs/PjxJCUlsW/fPvr168dvv/1GcXHxRZclN33OhoSEmB338vIydTI20ev1fPPNNyxdupTs7GyzmY/nLq9XKpWMGTOG7777jurqahwdHUlMTMTe3p4RI0a06jELIYQQV5OEdEIIIcQ14NwXsRcyfvx43nzzTfLz89HpdBw6dIhXX3211fej0+l48sknOXXqFAsWLGgWjnh4eGBnZ0dRUVGz2zYd8/Pza/X9NfHz8yMjIwMfHx+z400dXBfbAKElBoOBtWvXmi1ZPZdaraayshJnZ2fi4uIICAhg3bp1jBkzhl9//ZWamhqz2zV1Fs2aNavF5b7nzswC826hJg0NDTz44INoNBqmTp1KWFgYTk5OFBQUMGPGDPR6/SU/Tr1ej7e3N++9916LH/9rF9ylOrfzr8nPP//MjBkzuOWWW5gyZQre3t6oVCrmz59vCtasQUJCAvPmzUOtVuPi4sKWLVsYNWpUq0OttmpoaGj2+QA0+3y42PGmzzm9Xo9CoeCLL75o8bpt3TW4pW7EwYMH4+PjY1pSunr1anx9fc12eP675s2bx4cffsidd97JU089hbu7O0qlkpkzZzZbxjx+/HgWLFjAL7/8wujRo1mzZg3Dhg0zBZxCCCGENZGQTgghhOhA3N3dWww5mrpULiYhIYG3336bNWvWUFNTg62trdmctQvR6/W88MIL7N69mzlz5tC/f/9m5yiVSiIjIzl27Fizjx05coSgoKBLnkcHEB0dTUZGBgUFBWbLDgsLC4G2BU2///47+fn5TJs2jfDwcLOPabVa/v3vf/PLL7+YOoRGjhxpWlqblJREQEAAcXFxpts01eXt7d3mwCIlJYWMjAzeeecdxo8fbzq+a9cus/OaOq7Onj3b7BpNHYFNgoOD2b17N3369GkxULuY1uy++1cbNmwgKCiITz75xOz25258cTk0/ZunpKS06d88ISGBTz75hI0bN+Lj40NFRQWjRo0yfdzLywtHR0fS09Ob3TYtLQ2lUtmsy+1c7u7uaLXaZsdzc3PNPo//ruDgYAwGA4GBgS12/bVWZmamWV2ZmZno9Xqz7keVSsXo0aNZuXIlzz33HL/88gv33HNPi+HguZo+ZzMyMszuQ61WNwvZN2zYwIABA5g5c6bZca1Wi6enp9mxyMhIevbsSWJiIp06dSI3N5dXXnnl0h64EEIIcZXITDohhBCiAwkKCiItLQ21Wm06dvLkSQ4cONCq23t5eTFkyBBWr15NYmIigwcPbnXA9d///pekpCT+85//XHBA/O23387Ro0c5evSo6VhaWhp79uxp8xK0po61FStWmI7p9Xp++uknPDw8iImJMR0vLCwkNTW12Y6Rf9W01HXq1KmMGDHC7Nc999xDSEiI2ayrhIQEdDodK1euZMeOHc3CzSFDhuDi4sL8+fNbvO9z/8/Op6lj6txuIYPBwDfffGN2nr+/P5GRkaxatcpsTt7vv/9OSkqK2bkjR46koaGBzz77rNn91dfXtxgincvR0RHgouedqymwOfdxHD58mEOHDrX6Gq0RHR1NYGAg33zzTbP6LrZxBBiXrEZGRpKUlERSUhK+vr5my6ZVKhWDBg1i8+bNZks+i4uLWbNmDX379r1g6BwUFMThw4fNln//+uuv5OXlXcrDvKjbbrsNlUrFJ5980uxxGwwGSktLW3WdJUuWmP29aVOMczdlAOPsPI1Gw6uvvkpVVVWr5r/dcMMN2NrasnjxYrMaFy1a1OxclUrV7HGsW7eOgoKCFq89btw4du3axaJFi/Dw8GhWrxBCCGEtpJNOCCGE6EDuuusuFi5cyJQpU7jrrrsoKSnh+++/JyIiwiysuZDx48czbdo0AJ566qlW3WbhwoUsXbqU+Ph4HBwc+Pnnn80+fuutt5qW1E2aNInly5fzyCOP8NBDD2FjY8PChQvx9vbmoYceMrvdli1bOHnyJAB1dXWcOnXKFCbdfPPNdO/eHYDhw4czcOBA5s+fT2lpKVFRUWzevJn9+/fz+uuvm21U8f7777Ny5Uo2b9583vlnOp2OjRs3csMNN5x3Rt7NN9/MN998Q0lJCd7e3kRHR9O1a1c++OADdDpdsyWyLi4uvPbaazz//PNMmDCBhIQEvLy8yM3NZdu2bfTp0+eiS4vDwsIIDg7mnXfeoaCgABcXFzZs2NBiQPb000/zr3/9i3vvvZcJEyag1WpZsmQJkZGRZp8L/fv3Z+LEicyfP58TJ04waNAgbG1tycjIYP369bz88ssXDE+jo6MBeOONNxg8eDAqlcqs26wlw4YNY+PGjTz++OMMGzaM7Oxs0+dpVVXVBW97KZRKJa+99hqPPfYY48ePZ8KECfj6+pKWlsaZM2dYsGDBRa+RkJDARx99hL29PXfddVezpaXTp0/nt99+Y9KkSUyaNAmVSsWyZcvQ6XT83//93wWvfffdd7NhwwamTp3KyJEjOXv2LImJiS3OEvw7goODmT59OrNnzyYnJ4dbbrkFZ2dnsrOzTZ1uU6ZMueh1srOzefTRRxkyZAiHDh1i9erVjB492vR12KRnz55ERkayfv16wsPDTZ8jF+Ll5cVDDz3E/PnzeeSRRxg6dCjJycls3769WXfcsGHD+PTTT3nxxReJj48nJSWFxMTE83Yfjh49mnfffZdNmzZx7733mm2+IYQQQlgTCemEEEKIdqypm6SpMyk8PJx33nmHjz76iLfeeouIiAhmzZrFmjVr+P3331t1zZtuugl3d3f0ej3Dhw9v1W2agrSDBw9y8ODBZh/fvHmzKaRzcXHh22+/ZebMmcydOxe9Xs+AAQN48cUXm3Xtbdy4kZUrV5r+npycbNr0oFOnTqZwQKFQ8OmnnzJnzhzWrVvHTz/9RGhoKO+++26bdnHcunUrWq2Wm2666bzn3HTTTXz11VesXbuWBx54ADB2pc2bN4+uXbu2GEyMGTMGPz8/Pv/8cxYsWIBOp8Pf35/rrruOCRMmXLQuW1tb5s2bxxtvvMH8+fOxt7fn1ltv5b777ms2mP/mm2/m/fff5+OPP2b27NmEhITw1ltvsWrVKk6fPm127uuvv05MTAzff/89H3zwASqVioCAAMaOHUufPn0uWNNtt93G5MmTWbt2LatXr8ZgMFw0pJswYQLFxcUsW7aMnTt3EhERwbvvvsv69etb/XnaWkOGDGHRokV8+umnfPXVVxgMBoKCgrjnnntadfuEhATmzJlDdXV1i0u/u3XrxpIlS5g9ezbz58/HYDDQq1cv3n33XXr37n3R2mbMmMHXX3/NzJkziYmJYd68ebzzzjtteqwX8vDDDxMSEsLChQv59NNPAePX0KBBg7j55ptbdY05c+bw4YcfMnv2bGxsbLj//vt5/vnnWzx33LhxvPvuuxfdMOJc06dPx87Oju+//569e/fSq1cvvvrqKx555BGz8x599FGqq6tJTEwkKSmJnj17Mn/+fGbPnt3idX18fBg0aBDbtm27pHqEEEKIq01haE2vvxBCCCGs0jfffMObb77Jpk2bLlv3TX19PUOGDOGmm25qNvNJtH/jxo3Dy8uLr7/+2tKliA5s0aJFvPXWW2zZsqXZrrSW8Pjjj5OSksKmTZssXYoQQghxXjKTTgghhGjHjh49ipOT02V9EfzLL7+gVqvNNiYQ7U9dXR319fVmx/bu3cvJkydb3NRDiMvFYDCwYsUK+vXrZxUBXWFhoXTRCSGEaBdkuasQQgjRDm3YsIHff/+dxMRE7r77bmxs/v6P9MOHD5tmvvXs2VOCnHauoKCABx98kLFjx+Ln50daWhrff/89vr6+/M///I+lyxMdUFVVFVu2bGHv3r2kpKS0uBnJ1ZSVlcWBAwdYsWIFNjY2TJw40aL1CCGEEBcjIZ0QQgjRDr3zzjtUVlZy11138eKLL16Wa3733XesXr2a7t278/bbb1+WawrLcXd3Jzo6muXLl6NWq3FycmLo0KE899xzzQbxC3E5qNVqnn32Wdzc3Hj00UdbPdPySvnjjz948cUX6dKlC2+//Ta+vr4WrUcIIYS4GJlJJ4QQQgghhBBCCCGEhclMOiGEEEIIIYQQQgghLExCOiGEEEIIIYQQQgghLExCOiGEEEIIIYQQQgghLEw2jrgCDAYDer11jvpTKhVSWxtYa23WWhdIbW1lrbVZa10gtbWVtdZmrXWB1NZW1lqbtdYFUltbWWtt1loXSG1tZa21WWtdILW1lbXWZq11gfXWplQqUCgUFz1PQrorQKFQoNVWUV+vt3QpZmxslHh6Okttl8haa7PWukBqaytrrc1a6wKpra2stTZrrQuktray1tqstS6Q2trKWmuz1rpAamsra63NWusCqa2trLU2a60LrLs2Ly9nVKqLh3Sy3FUIIYQQQgghhBBCCAuTkE4IIYQQQgghhBBCCAuTkE4IIYQQQgghhBBCCAuTkE4IIYQQQgghhBBCCAuTkE4IIYQQQgghhBBCCAuTkE4IIYQQQgghhBBCCAuTkE4IIYQQQgghhBBCCAuzqpDup59+Iioqqtmv9957z+y85cuXc/vttxMbG8vYsWP59ddfm12rvLycl156if79+xMfH8+0adMoLCxsdt6BAweYOHEivXr14qabbuLzzz/HYDBcsccohBBCCCGEEEIIIcRf2Vi6gJZ8+eWXuLq6mv7u7+9v+vPatWv597//zaOPPsr1119PUlISTzzxBEuWLCEuLs503vTp0zlz5gyvvfYa9vb2zJkzh3/+85/8+OOP2NgYH3ZmZiZTpkxh0KBBTJ8+nVOnTvHee++hUqmYMmXK1XvAQgghhBBCCCGEEOKaZpUhXXR0NF5eXi1+7KOPPmLUqFFMnz4dgOuvv56UlBQ+/fRTvvjiCwAOHjzIzp07WbBgAYMHDwYgNDSUhIQENm7cSEJCAgALFizA09OT999/Hzs7OwYOHIharWbevHlMnjwZOzu7q/BohRBCCCGEEEIIIcS1zqqWu15MVlYWGRkZjBw50ux4QkICu3fvRqfTAbB9+3bc3NwYNGiQ6ZywsDB69OjB9u3bTce2b9/O8OHDzcK4hIQEtFotBw8evMKPRgghhBBCCCGEEEIII6sM6UaPHk2PHj0YPnw48+fPp6GhAYC0tDTA2BV3rvDwcOrq6sjKyjKdFxoaikKhMDsvLCzMdI2qqiry8vIICwtrdo5CoTCdJ4QQQgghhBBCCCHElWZVy119fX158skn6d27NwqFgi1btjBnzhwKCgp49dVX0Wg0ALi5uZndrunvTR/XarVmM+2auLu7c+zYMcC4sURL17Kzs8PR0dF0rbZSqawv/2yqSWq7NNZam7XWBVJbW1lrbdZaF0htbWWttVlrXSC1tZW11matdYHU1lbWWpu11gVSW1tZa23WWhdIbW1lrbVZa11g3bW1llWFdEOGDGHIkCGmvw8ePBh7e3sWLVrEo48+asHKLp2bm6OlSzgvqa1trLU2a60LpLa2stbarLUukNraylprs9a6QGprK2utzVrrAqmtray1NmutC6S2trLW2qy1LpDa2spaa7PWusC6a7sYqwrpWjJy5Ei++uorTpw4gbu7O2DsgvP19TWdo9VqAUwfd3NzIz8/v9m1NBqN6ZymTrumjromOp2O6upq03ltpdVW09Cg/1vXuNxUKiVubo5S2yWy1tqstS6Q2trKWmuz1rpAamsra63NWusCqa2trLU2a60LpLa2stbarLUukNraylprs9a6QGprK2utzVrrAuuuzc3NsVUdflYf0p2raX5cWlqa2Sy5tLQ0bG1tCQoKMp23e/duDAaD2Vy69PR0IiMjAXBycqJz587NZs+lp6djMBiazaq7VA0NeurrreuToonU1jbWWpu11gVSW1tZa23WWhdIbW1lrbVZa0B2UigAACAASURBVF0gtbWVtdZmrXWB1NZW1lqbtdYFUltbWWtt1loXSG1tZa21WWtdYN21XYzVL9RNSkpCpVLRs2dPgoKCCAkJYf369c3OGThwoGmX1htvvBGNRsPu3btN56Snp5OcnMyNN95oOnbjjTeyefNm6urqzK7l5uZGfHz8FX5kQgghhBBCCCGEEEIYWVUn3ZQpUxgwYABRUVEAbN68mR9++IEHHnjAtLz1ySef5LnnniM4OJgBAwaQlJTEkSNHWLx4sek68fHxDB48mJdeeokXXngBe3t7PvjgA6KiorjtttvM7i8xMZFnn32We++9l5SUFBYsWMDTTz9tCvyEEEIIIapq6qlTV2GDwdKlCCGEEEKIDsqqQrrQ0FB+/PFH8vPz0ev1hISE8NJLLzF58mTTOaNHj6a6upovvviCzz//nNDQUD755JNmnW9z5szhrbfe4tVXX6W+vp7BgwfzyiuvYGPz50Pu2rUrCxYs4O233+bhhx/Gy8uLadOm8dBDD121xyyEEEII62QwGDiTo2HrwVz2nSqkrl6Pu4sd3QLc6RboQWSQB0F+LiiViotfTAghhBBCiIuwqpDulVdeadV5d999N3ffffcFz3F1dWXmzJnMnDnzguf16dOHH374odU1CiGEEKJjq6yp47dj+Ww/lEtOcaXpuFKpQFOhY9+pIvadKgLAwU5FeIA7kYHuRAZ5ENrZDTtblaVKF0IIIYQQ7ZhVhXRCCCGEEJZgMBhIzdGy9VAOf5w0ds0B2Nkq6d/Dn+F9A+kV5c+B5DxOZpaSkqXhTE4Z1bUNHE9XczxdDYBKqSCksyuRgR50C/IgIsAdF0dbSz40IYQQQgjRTkhIJ4QQQohrVlVj19y2w7nkFP3ZNRfo68Kw+C5c37MTTg422NgosbNVERXsSXgXd0YNBL3eQHZRBaezNaRklZGSXYamQkdqjpbUHC3r9p4FIMDXuTG0cycy0AMvNwdLPVwhxFVkMBgor9KhtJWXXEIIIVpHfmIIIYQQ4ppiMBhIzdWy7aCxa07X1DVnY+yaGxrfhbDObigUF541p1QqCPZ3JdjfleF9AzEYDBRpajidVUZKVhmnszXkq6vIKaokp6iSXw/mAODt5kBkkHGuXbcgD7p4O130voQQ1kevN1BWUYtaW0uxtpoSTQ0l2trG32so0dRQW9eAQgFjBoUyblCIfK0LIYS4IAnphBBCCHFNqKqpY/fxArYdyiHbrGvOmaFxAQyM9sfJoe1LUxUKBX4ejvh5ODIotjMA2kodp7PLTN12ZwsqKNHWsPt4DbuPFwDg4mhLRIBxpl23IHe6+rtio1L+vQcrhPjb6ur1qMuNYdu5wVuJtoZiTQ2l5bU06C++47PBAKt3pqOpqGXybVGy2YwQ4qL0egNFZdW4uztZuhRxlUlIJ4QQQogOy2AwkJbbOGvuhHnXXL8efgyLCyCsy8W75trKzdmOvlF+9I3yA6BGV09qrtbUbZeWq6Wiuo5DZ4o5dKbYVFtYF7fG0M6D8C5uONjJUzYhLrfq2npKNDUUa81DOLXWeExTobvoNZQKBZ6u9ni7O+Dt5oC3uwM+5/zZz9ORA6lq5v54mG2HcqmoquPhsT2xtZENZoQQf6qqqSM1V0tqjoYzORrScrXU6BoYGh/IQwlRli5PXEXyjE8IIYQQHU5VTT27j+ez7VAu2UUVpuMBvs4Muwxdc23lYGdDdIgX0SFeANQ36MksKOd0lqZxiWwZlTX1nDxbxsmzZYAxBAj2dzGGdoHGZbJuznZXvXYh2hODwYC2qg51Y/BW/JdOuBJNDVW19Re9jp2N0iyAO/d3H3cH3F3sUCnP3/lqY6Nk5MAQVAY9c1cdY39KER/8cJgnJvTCyUFeiglxLdIbDBSoqziTrSE1V8OZHC255+wmf65tB7MJ8nXi5j6BV7lKYSnyk0EIIYQQHYLBYCAtT8u2g7n8fqLA1DVna6Okf3c/hsYHEH4Fu+bawkalJLyLO+Fd3BkxIBi9wUBeSZWx0y67jNNZGkq0NWTkl5ORX87GP7IA6OTlRLdA4xLZHiGeeHjIchhx7dJU1LLnRAGlFXXkFpZT1NgN17RL84U4O9j8Gb79NYhzd8DV0fayfM/o18MfBzsbPv7xCCfPljFr6QGenhiHuwTuQnR4Nbp60nO1nGnslEvN0VBZ0/xNAj8PR8ID3IkIcCM8wJ2U7DKWbjrNd7+cJtjflYgAdwtUL642CemEEEII0a5V1dSzJzmfrQf/0jXn48zQuC4MjOmEswW65tpCqVAQ4ONMgI8zw+IDAFBra0wbUaRkl5FTVEm+uop8dRU7juQBMDC2M4+Ni7Zk6UJcdZqKWtbtPcuvB3NaDOQUgLuLnflS1HOCOC83Bxztr97LoR5dPXlhUh8++OEQZwsreOvb/TzzP3H4eThetRqEEFdW0yZSqdkazuRqSM3WkFVUgeEv4yttbZSEdnIlPNCdiC7uhAe4N+uSD+3ixtnCSnYezmXuqmP853/7SSf9NUBCOiGEEEK0OwaDgfS8crYeyjF2zdX92TXXr7tx1lx4gHV1zbWVl5sD10d34vroTgBUVNdxJkdj6rZLy9Gy+2geE4aE4u3mYOFqhbjyWgrnwgPcGBDdGWd7FR4u9ni72ePl5mB1m7B07eTKi5P7Mvv7QxSWVfPWt/t5+p7eBPu7Wro0IUQb6OoayMgvN82SS83RoK2qa3aet5s94QHujZ1y7gT5uVz0+5NCoeDJe+JIzS4jr6SK+auP8+zEONl8poOTkE4IcU3RGwwY/vpWlhCi3aiurWdP46y5s4V/ds11aeqai+6Ei2P76JprKxdHW+IifIiL8AHg/R8OcSxNzZ7j+YwaGGLZ4oS4gsoqalm35yxbD50TznVxY9zgUHp388HLy4XS0krqW7HM1ZL8PZ14aXJf3l92mOyiCt5ZeoBpd/YiKtjT0qUJIS5Cra3hjCmQ03K2oLzZLs8qpYKQTq6mQC48wB1PV/s23Z+Tgy3T7urFa1/9wYnMUlbtTGPCjeGX46EIKyUhnRCi3dPrDZRX16Gt1Jl+ac79vUqHpsL4e3mVDi83B+Pg9lAvokM8LTI8XgjRegaDgYz8crYezGHvOV1zNqrGrrn4LkQEuHeIrrm2GBjdyRjSJRdISCc6pLKKWpL2ZLLtUK55ODcklOgQLxQKRbv7+vdwsWfGffF8tOIIKdkaZi87zKPjoukT6Wvp0oQQjZo2d0rN0Zq65ErLa5ud5+5sZwrjIgLc6drJ5bLu4Bzg68I/Rkbx+epk1vyWSXgXd3o3vlEnOh4J6YQQVulSg7dLaY4r0dSw/XAu2w/nolQoCAtwIzbUi5gwb7p2ckXZzp7oC9FRVdfWsye5gG0Hc8y65jp7Oxl3aI3p+F1zrdE3yo+vk06SU1RJdmEFgX4uli5JiMuixXAuwNg51xTOtWdODrY8MzGOeT8f59CZYj5deZR/jOjOjb27WLo0Ia5JmopazuRoG3dc1ZCZX95s3qVSoSDIz6UxlHMjIsAdb3eHK/796PqenUjN1rL5QDZfJCbznwf74SvzLDskCemEEFeNXm+gorrOFLZdzuBNAbg42eLmbIe7sx1uzna4Odnh7tL4e+MxD1d7NDUN/HY4hyNniskrMW5/fiZbw8od6bg42hIT5kVsqDfRoV4ynFUIC0jL1bJlfxZ7kwuprWsAmrrmfBkaF0C3wGu3a64lTg42XNfDjz3H8tl7okBCOtHulZbXsm5PJlsP5VLf8Gc4N35wGD1DPDvU17+drYrHJ8SwaP0pdh7JY+G6k5RX6Ui4vmuHepzi2lSra2B3cj5bD+aQVViBsrHrVaVUoFQaAy+lsvFX0/G/HFMqMR1XKBWoWriNQtF4jtntzK+pOOc6535MpVJQUq7jeFoJRWXVzR6Di6Mt4V3ciAg07sQe2tkNe7vL1yV3KSYOjyA9X0tarpbPVh7jpcl9LmvHnrAOEtIJIS67tFwth3dmUFhSQVnFFQjeGv987u8uTraolBcfDm1joyS8qzOhfs5MvCmCYk01x9LVHEtTk5yhpqK6jj3HC9hzvAAwDniODfMiJtSb8AC3Vt2HEOJPDXo9NboGqmvrqaltoKq2nhpdPdW1DVTr6qmuNf65prae2roGckqqSMvRmG7f2duJoXEB3CBdcxd0Y3wge47l8/uJAibcGCYv7kW71FI4FxHgzrjBoR0unDuXSqnkwZHdcXOyI2lPJj9uS0NbWcfE4RHS3S/apcKyan49kM2Ow3lU1dabjjcYDICB+gbL1XYhCiDA19lslpy/p6PVfO+xUSn51/gYXvv6DzILylmy6TT/O7K7pcsSl5mEdEKIy+psQTlvfrOfuoaWhza3Nnhzc7bDtZXB29/h4+7IsLgAhsUFUN+gJzVHw7F0NUfTSjhbUEFmfjmZ+eWs+S0TR3sbeoZ4EhvmTUyoF16yi6LowPR6AzW6emOoZgrUjGFbta7xWG29+d/PCd2ajjV1wl0KW5WSvt19Gdq7C5FBHlbz5Nia9evpj72tiqKyGtLytIR3cbd0SUK0Wmn5n8taTeFcYGM417XjhnPnUigU3DUsHFcnW5ZtOcOmfVmUV+t4KKGH1e1QK0RLDAYDxzPUbN6XzZHUEprel/f1cODWfkEMHxBCubaaujo9DQYDBr2BBr0BvcGAvvH3Br0Bg974Bp/ewF+O//ln0230mP7812sZP950nObHG2swAAF+rgT6OBHs54qTg3VHJF5uDjwyNpr3lx1i++FcIgLcGdyrs6XLEpeRdX8GCiHaleraeuauOkZdg54eIV70CvPCxdH2qgdvbWWjUhIV7ElUsCd3Dg1HU1Fr7LJLV3M83dhlt/9UEftPFQEQ4ONMTJhxll1koAe2Ntb5uIRootcbSM3VkJJVRp0eSrXVVNWc0812TijXlnDtQmxtlDjaqXCwt8HR3gZHOxWO9jY42NngZG+Dg70KZ0dbOvu6EBnghqOdPEW5FA52NvSJ9GX38Xx+Ty6UkE60C+cL58YPDqXHNRLO/dXt/YNxdbLl66ST7DleQEV1HY+Pj7XY8johLqa6tp7fjuWzeX82+eoq0/GYUC+G9w0kNtwbO1sVnp5O2GKwut2XbWyUeHo6t4udoZtEh3oxbkgoq3ak8+3GUwT7uxDs72rpssRlIs+AhRCXhcFg4JsNpygorcbLzZ5XHhpAg66u3fywa4m7iz2DYjszKLYzer1xd8ljaSUcTS8hLVdLTnElOcWVbPg9CztbJT2CPYkJ8yY2zAs/TydLly8EABXVdRxLK+FIaglH00qorKm/+I3OYRau2dngaP9nuNb056bQrVkAZ98YwNmpWtUJ0h6fKFuT66P9jSHdyQIm3hyBUnntBRyifSgtryVpdybbDv8ZznVr7Jy7VsO5c90Q0xkXR1s+W3mMY2lq3v3+INPv7i1L/oVVyVdXsXl/NruO5lGjM76x52CnYlBsZ27uE0Bnb2cLV9ixjb4hhNQcLUfTSvhs5TFe/d/rcHKQ7xEdgYR0QojLYvvhXPYmF6BUKHj8jljcnO0o1dVZuqzLRqlUENbFjbAubowdHEpFdR3JGcZZdkfTS9BU6DicWsLh1BIA/DwdiQ31JibMi+7BnvIOuLhqDAYDWYUVHEk1BnOpuRqzWZDODjbEhHkT3NkNhcGAvY2yeQB3TtAmy6zaj9hwb5zsbdBU6EjJKqN7V09LlySEmT/DuRzqG4zfmLo1ds51l3DOTK9wH567N54Plx8mLVfLW4v38+zEOBm1ISxKbzBwNLWEzfuzOZauNh3v5OXE8L6B3BDTCUd7iRiuBqVCwT/H9OT/ff0HhWXVLFh7gicmxMr30Q5AvoKEEH/b2cbBpQB3DgujW5CHhSu68lwcbenfw5/+PfwxGAxkF1VyNK2EY2klnM7WUFhazebSbDYfyMZGpSAyyIOYUGOXXRcfZ/kBKi6rWl0DyZlqUzBXWl5r9vFAX2d6hfvQK9y4AYq9nY10rHVANiolfaN82XEkj70nCiSkE1ZDra0haU8m2w/nmsK5yMbOOQnnzi8iwJ0Z9/Xh/R8Ok1dSxczF+3nmnji6+EiHkri6qmrq2Hkkjy0Hcihs3AFVAfQK92b4dYH0DPGSTU4swMXRln/dEcNbi/dz8HQx6/eeZeT1XS1dlvibJKQTQvwt1bX1zP35OPUNenqFe3N7/2BLl3TVKRQKgvxcCPJzIeH6rlTX1nMys5Sj6WqOppZQoq0hOaOU5IxSfvgVPF3tTTvG9gzxlNZ00SaFpVUcbgzlTp0tNb3wBbCzVdKzqxe9wr2JDfPG2106L64VA3r6s+NIHvtOFnLfrZHSCSksSq2tYe2eTHb8NZwbEkb3YNkUpjUCfF146f6+zF52iHx1FW8t3s/0e3rL3ElxVeQUVbD5QA67j+WbZtU62tswpJdxSauMd7G80M5uTLolkm82nGLFtlRCO7vJm3TtnIR0Qog2MxgMfLvhFAXqKjxd7Zkyqoe8i4bxyUt8pC/xkb4YDAby1VWmZbGnzpZRWl7L9sN5bD+ch1KhIDzAjZgwb+K6+eDhIU92RMvqG/ScziozBXPnDmcG8HF3oHe4D70ivOke7IGtjSyxvhZ1D/bEzdkObaWO5Aw1vcJ9LF2SuAa1GM4FeRg75yScu2Te7g68eH8f5iw/THpeOe9+d5An7oglJszb0qWJDkivN3DoTDGb92dzIrPUdDzAx5nhfQMZGN1JxrhYmaFxXTiTo+G3Y/nMW32c1x7sh4eLvaXLEm0kIZ0Qos12HMljT+McukfHRePqZGfpkqyOQqGgs7cznb2dubVfELq6BlKyyjiapuZYegl5JVWcztZwOlvDyu1pTLw1klEDrr1uRNEyTUWtaQnr8Qy1aTAzgEqpoFugO73Cfegd4U0nLyd54StQKhX06+7H5v3Z7E0ulJBOXFVqbQ1rd2ey44h5ONc0c060nauTHf93bzyf/nSU4xmlfLjiCFNG9+D6np0sXZroICqq69hxOJctB3Io0dYAoFBAfDdfhvcNlIDdiikUCibfHsXZgnKyiyqZu+oY/3dvvHTTt1MS0gkh2iSrsIIlm1IAmDA0jG6BHX8O3eVgZ6siJsy78d3vbhSXVXMsXc3+lCKOp6v5dV8WCf2DLF2msBC9wUB6npajjZuQZOaXm33czdmO2DAveof70DPECycH+TEumhvQw5/N+7M5cLoIXV0DdrbS8SCurKZwbvvhXBr0xnAuqqlzTsK5y8bBzoan7u7Nl2uS+f1EIZ+vTqa8qo5br5PnDaLtzhaUs3l/NnuSC6hrnFPr7GDDjXFduCk+AB93RwtXKFrD3lbF43fE8vqiPzidreHHbalMvLmbpcsSbSDP7oUQl6xGV8/cVceoq9cTG+bNCOn8ajMfD0eGxQcwMKYT0+bsoLC0mtySKvw95AnRtaKqpo5j6cZNH46mlVBeZb4rcmhnV9OmD107ucqScnFR4QFueLs5UKKt4UhqCdd197N0SaKDKtH8uay1KZzrHuzB2EESzl0pNiolD4+NxtXRjs0Hsvnul9OUV+m4Y0iYdDmJVqtv0HMgpYgt+7NJydaYjgf7uTC8byADevrLGzztkL+XEw8l9OTTlUfZ8HsWEQHu9I2S5wDtjYR0QohL0jSHLr9xDt3U0TKH7nKwt1XRvasnR9NKOHKmWN4V78AMBgO5xZUcaeyWO5OtQW/4c9MHR3sV0aHe9A43dly6O8sycnFpFAoF/Xv4sW7vWfaeKJCQTlx2xZoaVu9Ml3DOQpQKBZNu7Yabsy0rd6Sz5rdMtJV1PHB7FEqlPCcT56et1LHtUA5bD+WadoJXKRX0jTIuaY0IcJewt53rG+XLiP7BrP/9LAvWniDA14VOXjLzuj2RkE4IcUl2HMlj93HjHLpHxsocusupd4Q3R9NKOHymREK6DkZX18DJs6XGTR/OlJhmvTTp7O1k3PQh3JuIQHeZISL+tgE9/Vm39yxHUkuorq3H0V6e8om/x2AwUKCuYunmM2zam2kWzo0bHEpUsIRzV5NCoWDMoFBcnez4duMpth/OpbK6jofH9pSNg0Qz6XlaftmXzR8nC0zzIt2cbBkaF8Cw+AA8XWWTgY7kzmFhpOVpSckq49OVR3ll8nWy2Uc7Is/YhBCtln3OHLo7bgwlMkjm0F1OvSJ8YGMKp86WyovqDqC0vJbfkgvZfSSH5IxS05wXMC5X6tHVk17h3vQK98ZXljeLyyzIz/jOeb66ioOni7ghprOlSxLtSK2ugZziSrKLKsgqrCC7sILsogoqa+pN5/To6snYQSESzlnYsPgAXBxt+TzxOPtTivjgh8M8MaGXzCwV1Dfo+eNkIZv3Z5OWqzUdD+3sxi19A7muux+2NvKmYEekUip5dFw0r339BzlFlXyz4SRTR/eULsl2Qr57CyFapUZXz9yfjXPoYsK8GHl9V0uX1OF08nKis48zecWVnMgspU+kr6VLEm2kqajlhfm70dX9Gcx5udmbZsv16OqJvcx6EVeQQqFgQE9/ft6Zzu8nCiWkEy3SGwwUa2qMIVxhBVlFxt8LS6sxtHC+UqGgV4QPCdcHExHgftXrFS27rrsfzo62fPzjEU6eLWPW0gM8PTFOxiVco0rLa9m8L4uth3LRVuoA45LW/j38GN43iLAubhauUFwNHi72PDYumne/O8Tu4wVEBHpwU3yApcsSrSAh3RVQoqmmUF2Fj5uDpUsR4rJomkOXV9I0h66nzKG7Qvp292PNznSOppVISNeOHU1To6vT4+XmwC3XBRIT6kWAj7O8gymuqv49/Ph5ZzrH09VUVNfh4mhr6ZKEBVXV1JFdVGnsjCtq6o6rpLauocXz3ZztCPJ1JtDPhUBfF4L8XAjyd8XP15XS0krqz+kOFpbXo6snL0zqwwc/HOJsYQVvfbufZ/4nDj/p1L5mFJVV8+WaE+w68uesSA8XO4bFBzA0LkBC22tQVLAndw4LY/mvqXz3SwohnVwJ7SwhrbWTkO4KqKvXs3lflmx5LDqMnX+ZQ+cmc+iumOt6+LNmZzpHUkswGAwS6rRTJzLVANzSP5jR1wfLi1lhEZ29nQn2d+FsQQX7ThYyTN5BvyY06PUUqKubLVUt0da2eL6NSkEXH2eCfF2MgVxjKNfSC3obWRpn1bp2cuXFyX2Z/f0hCsuqmfntfp65pzfB/q6WLk1cBct/PcOe4wUARAS6c0vfQPpE+sqc22vciP7BnMnWcPB0MZ+tPMp/Huwvb9pZOQnprpAjqSUS0okOIbtI5tBdTTHhPtjZKCktryWnuJJAXxdLlyQukcFgIDmjFIDe3XwsXI241g3o6c/Zggp+P1EgIV0HpK3UmbrijEtVK8kprqS+oeU3Brzd7AlsDOOC/Fwad/1zRKWUF/Edhb+nEy9N7sv7yw6TXVTBO0sPMO3OXjI78BqQr64CYMroHgySEQeikUKhYMqonry+6A8KS6v5PPE40+/uLauirJiEdFdIXkkVxWXV+EiLuWjHanT1zF11DF29nphQmUN3NdjbqugR4snhMyUcTS2RkK4dyi2pQlOpw85GSfeuXlRW1Fz8RkJcIf27+7P811ROnS2jtLxWdvBrp+rq9eSVmC9VzSqqNM2b+it7WxWBf1mqGujrjJODdE9cCzxc7JlxXzwfrThCSraG2csO8+i4aBmj0cGVaIzPN2Q5o/grJwcbHr8jlje/2cexNDVrdmUwdnCopcsS5yEh3RXQtEvO0XS1DGcU7drijSnklVTh4WLH1DEyh+5q6R3hw+EzJRxJLZFgtB1KzjAudY0M8sDOVkWlhesR1zZvdwciAt05k63hj5OF3NYvyNIliYuorq0n9UQByanFnC0oJ7uwgrySKvSG5ls5KABfT8c/l6r6uhDk54yPh6P8zL7GOTnY8szEOOb9fJxDZ4r5dOVR/jGiOzf27mLp0sQVUKtroLyqDjB+3xfir4L8XJh8exQL1p7g553phAW4ERPqbemyRAskpLsCmnbsO5paIiGdaLd2Hsnjt2P5KBTIHLqrrFe48QfmmRwNVTX1ODnIt+r25ETjUtfoUC8LVyKE0YAe/pzJ1rA3uUBCOitnMBh4Y9E+sgormn3Myd7G2BHn19QZ50KAjzP2drJTtGiZna2KxyfEsGj9KXYeyWPhupOUV+lIuL6rzLztYIq1xi46JwcbnB1sZRauaNGg2M6cydGw7VAun69O5j//209CXSskr/yugKYnSycyS6lv0MuwTtHu5BRVsHjjKQDuGBImc0yuMj9PJzp5OZGvriI5Q8113f0sXZJopQa9nlNZxpCup4R0wkpc192Ppb+kkJ6npbCsWnZ7tGJZhcbNHmxUSq7r7kuAj7MpkPN0tZdgRVwylVLJgyO74+ZkR9KeTH7cloa2so6JwyMsXZq4jJqWuvp5Olm4EmHtJt3SjYy8cjILyvls1TFm3NfHtBJQWAf537gCbFRK3J3tqK1r4HRWmaXLEeKS1Ooa+KxxDl10qBcJA2W5pSU0ddMdTSuxcCXiUmTklVNd24Czgw1dZTc9YSXcne3o0dX4ZsvvyQUWrkZcyP5TRQBc18OPf90Ry6iBIfQK98HLzUECOtFmCoWCu4aFM/FmYzC3aV8WX65JPu8GI6L9KdFKSCdax9ZGxb/uiMHZwYb0PC3Ltpy2dEniLySkuwIUCgUxYY0vsNPVFq5GiEuzeNMp8kqqcHex45+jZQ6dpcQ2fg85klaCoYU5RMI6Nc2j697VE6VSvnaE9RjQwx+A309ISGfNDqQYQ7qBsTI3TFx+t/cPZuroHqiUCvYcL2DOD4epqa23dFniMvizk046pcXF+Xo4MnV0TwC2HMhhz/F8C1ckziUh3RXSO0K6YET7s/NIHruOGufQPTo2GjdnmUNnKcZNB5RoKnQtziYS1ulEZuNS166yRFxYlz5RvqiUCrKLKskpku8p1iivpJKc4kpUHTiBJAAAIABJREFUSgX9oztZuhzRQd0Q05kn74zFzkbJkdQS/vPF7hY3JRHtS1Mnna900olW6h3hw+gbQgBYuP6kPDewIhLSXSHRoV4oFJBTVIm68ZumENbs3Dl042UOncXZ2ijp2dU400zC/vahtq6BMzkaAHqGyDw6YV2cHWxNHbp7TxRauBrRkqYuup4hXrg42lq4GtGR9Qr34bl747GzUZKcruZsfrmlSxJ/U7GmGgA/L+mkE603fnAoPUM80dXp+XTlMaqls9YqSEh3hbg62RHW2Q2AY7LkVVi5Wl0Dc38+bpxDF+LJKJlDZxViG+fSHUmVkK49OJ1dRn2DAS83e1luIqxS/57GTWh+Ty6QZfRWyDSPrruvhSsR14KIAHe6+DoDUFpea+FqxN8lG0eItlAqFTw8NhpPV3vy1VV8ve6kPD+wAhLSXUGmuXTyAltYuSWbUsgtrjTOoRsTLXPorERsmLEbKzVHS2VNnYWrERdzIqNpqauXDHgXVik+whc7WyWFZdVkSOeMVSnWGP9PFEDfKNnRW1wdnq72gIR07V19gx5NhQ6QkE5cOjcnOx4bH4NKqWDfyUI27cu2dEnXPAnprqCmZSXJmWrZPUlYrV1H89h5NA+FAh4ZI3PorImPuyNdfJzRGwwcl45cq5fcGNL1CJGl4sI62dupiIvwAWCv7PJqVQ6kFAPQLchDfg6Lq8bTRUK6jkCtrcEA2NkocXeR7x/i0kUEuJt2f17+6xlOZ5dZuKJrm4R0V1BIJ1dcHG2prm0gtXFOkRDWJKe4km8b59CNGxxKdxl2b3V6SUduu1BRXcfZAmNnkmwaIaxZ0y6vf5wslGHxVmT/KeOcwL5RstRVXD3SSdcxFDcudfV2d5BOftFmw/sG0r+HHw16A3NXHUNbqbN0SdcsCemuIKVSQUyocbmazKUT1qa2roF5q46hq9PTM8ST0QNDLF2SaEHTktej6Wp5QW3FTmaW8v/Zu/PwuAp6f/zvM2smyUxmsrbZl2ZtkjZtoWwWWS7KolwVEBfUK19QL+iVq/feL3pRQUSvV64KIgoCP5GLC/AVFBCRRaBQaGnTJU2afU+aZJJMJjNJZj2/P86caUu3ZDIz58zM+/U8Pj4kk8knJ83MOZ/zWUQARbkZyApVJhCpUWNlDkxGHWbnPege5p1yNZhzedAzIt3M3VzDJB3Fj82cBgBwuJikS2TTRyXpiCIlCAI+d2kd1uakw+Hy4hfPtCEQZDegEpiki7FG+QKbVTCkMv/7ty6M2t3IygjNodPwzpsaVZdYYTRo4XR7w5VapD7tg2x1pcSg12nCiSBueVWH1m47RAAVa83ItvAim+LHykq6pDDtlJJ0eVlcWkWrk2bQ4aaPNMGo1+LQkANPv9GvdEgpiUm6GGuskFrVhiZdvEtFqvHmgXFs3y/Nobvxw+uRxfk3qqXTasLtk0z2q1f7gFQt3VCWrXAkRKcnb3l999AkZ+aqwJFWVy6MoPjKDiXpZpikS2ispKNoKszNwD9dVgcAeG7HIFq7pxSOKPUwSRdjlgwDytaYAQBtfWx5JeWNHT2H7twK1HN+luo1V0nJ/v19TNKpkX1uEZOzi9AIAmpLrUqHQ3Ra9WU2WNL1cC360BGqAiVluBZ9ODQktR1vYqsrxZk8k8696IPPH1A4GoqUPJMul0k6ipIz6wtw8eZiAMCvnu3ApGNR4YhSC5N0cSBveW3r5wU2KcvjC+D+Z6Q5dPVlNlxxTrnSIdEyyK8hfaNOuBZ9CkdD79UR2upaUWiGyahTOBqi09NqNNhSJ1Vt7eSWV0Xt67EjEBRRlJeBNdnpSodDKSY9TQeDTrocnHVxSHyikttdc9juSlF0zYXrUFVkwaLHj5//vwPw+pjIjxcm6eJA3s54sH+GwxdJUY//rQujU25YMgy48cOcQ5cosi1pKM7LgAgm+9VIrkSqZ6srJZAzQ1te93RPsYJGQbs7pTYiLowgJQiCEE7sONjympCCQTE8UzDPyko6ih6dVoMvXdmITJMeQ5Mu/O/fupQOKWUwSRcHFYVmpBt1cC/50T/Owe+kjB1th/HG/nEIAL7woQbOoUswTaGWV86lUxdRFMNLI9ZzaQQlkHXFWci2GLHoCWB/L8dxKGHJ60dbv3TsOY+OlJKdxQ2viczh8iAQFKHVCLByuzxFWbYlDV+4cj0EAG/sH8cb+8aUDiklMEkXB1qNBusruOWVlDM+7cajf5Xm0H34vArUl7PiJ9HIFbkH+mYQFEWFoyHZqN0Np9sLg06DysIspcMhWjaNIODMOqma7p0OtrwqYX/vNPyBIPJtJhTnZSgdDqWonNBGYW54TUzyPDqb2cgOGYqJ9eXZ+MdtlQCAx/7WhcHDLDqKNSbp4qSxUkqKsFWN4s3jC+DnT7fB4wugvsyGD3EOXUKqKsqCyaiFa9GHAVbkqoY8j66mxAq9jm+plFi2NkhJuv09dix6/ApHk3r2dB1pdRUEXlyTMuRKOibpEtM0l0ZQHFx+dhmaq3Lg8wfx86cPwL3EGdmxxCuKOJEHvw+Mz8O5wMGsFD+/femoOXQfauBdtgSl02qwPlQBeYBbXlWjfUBqVatnqysloNKCTBTYTPD6g9jbY1c6nJTi8wewL9RdsamW8+hIOTlsd01odnlphIVJOoodjSDg/1zRgNysNEw5lvDAMwcRDLKzJ1aYpIsTa6YRJfmZECEtkCCKhx0HD+P1fdIcuhs/1IAszqpIaHKyfz/b5lXBHwiic9gBAGjg0ghKQIIghKvpuOU1vg72z8LjDcBmNqJirUXpcCiF5Vi4OCKRyZV0OaykoxjLNOnxzx9phE4roLXbjqde7VY6pKTFJF0cNYVnSvECm2JvfNqNR1+Q5tB96NxyNHAOXcJrDFfkOlmRqwID4/NY8gaQadKjpCBT6XCIIiJveW3rn4Frke0r8bK7axIAsKkmDxq2upKCwu2urKRLSNNOJukofsrXWPCpf6gBADz2lw70js4pHFFyYpIujprkuXQc/E4x5vUFcH9oDl1dqRUfPrdC6ZAoCmxmI0rlitw+VuQqrX1Q+h3Uldl4kU0JqzA3AyX5mQgExfCMNIotfyCIvd1Se/EWtrqSwo60u3oh8vok4ciLI3LZ7kpxsm1DIc6sz0dQBF7ntteYYJIujqqKspBmkAa/cysKxdLjL3VjZMoNS7oeN354PefQJZGmqlDLKytyFdceWhrRUMZ5dJTYzqzPBwC8w5bXuOgcdsC95Ic5XY/qYqvS4VCKyw4ld3z+INxLXCCTSERRxAwr6SjOBEHAto2FAKQFSCw+ij4m6eJIp9WEWw4PcKYUxcjbBw/j9X1jEADc8OH1sHIOXVJpDiXp2vqmObBVQR5vIFziz6URlOi2hlpeDw3Ocnh8HOzplCoWW6pzeRONFGfQa5Fp0gPg8ohE41zwwecPQsCRZCtRPNSXZcNk1GHO5UX/uFPpcJIOk3RxJre8Huhnko6ib3zajV//VZpDd8U55eFtoJQ8KgstSDfq4F7yo49viorpGnEgEBSRY0lDvtWkdDhEq5JrNaGq0AIRwK5Dk0qHk9SC4pG24s21+QpHQySxmaUbulwekVjkpRFWsxE6LS/rKX70Og021UnvYfL4Booe/jXHmbw8om/MyQHNFFXSHLqD8HilOXRXnsc5dMlIq9GgMZTs55ZX5XSEWl3ry20QOI+OksCZ3PIaF72jc5hze2Ey6lDPVnlSCTlJN8skXUIJL41gFR0p4KzGtQCAVibpoo5JujjLtqShKDcDogi0D3DwO0XP717uxsiUi3PoUgA3RStPXhrRwFZXShJn1OVDEIDeMSemHItKh5O0dodaXTeuy2HlC6mGPBqF7a6JxT4nvVZzHh0pYUt9AbQaAWN2NyZmFpQOJ6nw7EABchUM59JRtLzdfhh/3xuaQ/chzqFLdo2hJN3g4XnM8YQ67uYXvBiacAGQZnIQJQNrphF1pVLSeWcHq+liQRTFcJJuUw1bXUk9wpV0Lq/CkdBKyO2uuUzSkQIyTXrUhs4bWE0XXUzSKSBcBdM/w20otGrj0278+gVpDt3l55RjfQWTBskuK8OA8jVmAEBbPyty4+3QkAMAUJyXgawMg8LREEWPvOV1Zwfn0sXC0IQL084lGPRHxhYQqQFn0iUmOUnHdldSyqbaXABAa/eUwpEkFybpFFBdbIVRr4XT7cVwqBqDKBJeXwD3/b8D8HgDqC2x4srzypUOieJETvZzLl38yaMKWEVHyWZzbT60GgHDky6M2d1Kh5N03u2Ukp9NlTkw6rUKR0N0xJFKOibpEkl4Jh0r6Ughm6rzAAA9o3NwulmJGy1M0ilAr9OEhwW3ccsrrcKvnmnD0IQL5tAcOq2Gf9KporlKStId7J9BIBhUOJrUIi+N4Dw6SjaZJj0aQ9XYbHmNvvBW15o8hSMhOhYr6RKPKIqws5KOFJZrNaG0IBOiCOzrYctrtPCKXiFNnEtHq7SrYwJ/2TEQmkPXED7BotRQsdaCTJMeCx4/ekedSoeTMuyORUw6FqHVCKgpsSodDlHUyVte32mfgMiRHFEzZndjfHoBWo2A5qpcpcMhOoZ8Dul0e+EP8MZfIljw+LHkDQBgko6U1RKqpuNcuuhhkk4h8uD3nlEnFpb8CkdDiejFXcMAgMvOLkNjRY7C0VC8aTRCuOKFW17jp31QqqKrKLTAZNQpHA1R9LVU58Kg02BidjG8IIVWb3eo1XV9RTbS0/jaQepizjBAqxEgAmxZSxDyPDpzuh5GA9vnSTkt1dKNp/aBGXh8AYWjSQ5M0ikkz2rCmux0BEUxPN+IaLl8/gD6QtVT2zYWKhwNKaUp1PLKitz4kV+vG8rY6krJKc2gQ/M66YT7nXa2vEbL7i55qytbXUl9NIKArExpERLn0iUGLo0gtSjJz0SOJQ1efxDtXGgXFUzSKUje7MW5dLRSfWNO+AJB2MxGrMlOVzocUkhjRTYEAEOTLsxyjkzMBUURHaFKunom6SiJba2XWl53HprgFvoomHRIVYmCcKTigEhtbJnyXDpW0iUCO5dGkEoIghB+b2PLa3QwSaeg5lDL64G+Gc59oRXpHHIAABqrciEIgsLRkFLM6QZUFFoAsOU1Hkan3Jhf8MGg16CqKEvpcIhiprkqGyajFjNOD3pG5pQOJ+Ht6ZSq6GpLrDCnGxSOhujErHKSjpV0CYGVdKQmcpJub48dwSDzGqvFJJ2Cakqs0Os0mJ33YHTKrXQ4lEA6h+UkHWfRpbqmcLKfSbpY6wi1utaUWKHT8u2Tkpdep8Wm0CBobnldvfBW19p8hSMhOjlraHkEK/MTg5yky2UlHalAdYkV6UYdXIs+9Izy5t5q8SpDQQa9FnWlUsvUAba80jL5A0H0hl785AUklLqaQ4na9oEZbmSLMXlpRENZtsKREMWevOX13UOTCAT52hKp2XlP+IKF8+hIzeQNr6ykSwxsdyU10Wk1aF4nXZO0dk8pHE3iY5JOYfJcOg5+p+XqH3fC6w/CnK5HSYFZ6XBIYWVrzDCn67HoCYSTtxR9/kAwXMHaUM55dJT86stsyDTp4Vzw4dCgQ+lwEpZ8sVJVaAknQYjUyCovjmAlXUJguyupjVyB39pl5yivVWKSTmHyXLrukTksevwKR0OJQJ5HV1dq4zw6gkYQ0FghvY7sZ7I/ZvrHnfB4A8g06VGcn6l0OEQxp9NqsKVOas/kltfI7e5kqyslBhtn0iUMjzcA16IPANtdST3WV2RDpxUw6VjEmJ2jvFZDtUk6t9uNbdu2oba2FgcOHDjmc0888QQ+8IEPoKmpCR/+8Ifx6quvHvf18/Pz+MY3voEzzzwTLS0t+MpXvoLJycnjHrdnzx58/OMfR3NzMy644AI88MADcc385ttMyLOmIRAUcSjUSkV0KnI1T22ZVeFISC3kltf9nEsXM+0DR7a6apgcpxSxtV5KLO3umoLPz5bXlZpf8IZvrG2q4VZXUjcr210ThtzqajJqkZ6mVzgaIonJqEN9aCQMt7yujmqTdD//+c8RCASO+/hzzz2H2267DZdeeikefPBBbNy4ETfffDP27t17zOO++tWv4s0338R3vvMd/OhHP0J/fz9uuOEG+P1HqtUGBwdx/fXXIy8vD7/85S/x2c9+Fvfccw8efvjhmP98MkEQjgx+75+J2/elxOQPBMOb9uR5hkTrK7IhCNL20ZnQiRtFl7w0gq2ulEqqS6ywmY1Y9PjRxpsAK7a3x46gKKIkPxP5tnSlwyE6JXm766IngCUvu3vU7Eirq0nhSIiOJW95ZZJudVSZpOvt7cXjjz+OL3/5y8d97p577sHll1+Or371qzjrrLNwxx13oKmpCffdd1/4Ma2trdi+fTu+973v4bLLLsNFF12En/70p+js7MSLL74YftxDDz0Em82G//mf/8HZZ5+Nz33uc/j85z+PX/ziF/B6vXH5WYEjw/8P9E6zf5tOaXBiHh5fABlpOrbcUVimSY+qwiwArKaLhSWvH71jTgBAfTmXRlDq0AgCzpBbXrnldcWOtLpyYQSpn8moQ5pBC4Bz6dRu2snNrqROG0NJuv5xJ19HVkGVSbo777wT1157LSoqKo75+PDwMAYGBnDppZce8/HLLrsMO3bsCCfWXn/9dVgsFpx77rnhx1RWVqK+vh6vv/56+GOvv/46LrroIhgMhmOey+l0orW1NRY/2gnVl9qg0wqYdi7h8MxC3L4vJZ6uUNtMTYmVLXd0jKaqI8l+iq6u4TkEgiJys9KQb+Vda0otW0NbXvf22OHxHt/hQCe26PGjPVSBu5lbXSlBWMNz6eJXrEArx6URpFbWTCMqCy0ApPMGiozqknQvvPACurq6cNNNNx33ub6+PgA4LnlXVVUFn8+H4eHh8OMqKiqOG6pfWVkZfo6FhQWMj4+jsrLyuMcIghB+XDwYDVrUlEjzxXiBTacSnkdXwnl0dCx5CU374CxnR0VZO1tdKYWVrzEj32qC1xdEa8+U0uEkjP290/AHRKzJTkdhbobS4RAti7yB2MEKGFWzzy0CAHJYSUcqdKTllecMkdIpHcDRFhcX8YMf/AC33HILMjOPb+Wbm5NmcVkslmM+Lv+3/Hmn0wmz2Xzc12dlZaGtrQ2AtFjiRM9lMBhgMpnCzxUprXZl+c8N63LRPjCLtoEZXHZO+aq+9+liWmls8cDYTi8YFNE9IiXpGiqyVRPXiTC2yKwmtooiC7IyDZhzedE37sT6iui1ZSbrMVuuQ0PS0ojGyhzodMv/Pql+3CKh1riA1I7trPUF+NObA9h1aBLnNReu6GvVetxiHdee0MXJGXX50Ou1K/patR4zgLFFQq1xAcfHlm2RknTOBe+K3u9iIZGOW7zNhJKo+dmmY35PSsd1KowtMmqN7VRxbanLx1Ov9eHQ4Cx8gSBMxvimnNR6zFZCVUm6+++/Hzk5OfjYxz6mdCirZlnhIM/3bSrBb1/qRueQA6YMI9IMsfvVrDS2eGJsJ9cz7MCiR5pH11y3BlqNoIq4ToWxRSbS2LbUF+DlXcPoHJnDeZtKohxVch6z03HMezA04QIAnL2hOLz9biVS8bitllrjAlIztkvOqcCf3hzAgd5p6I16ZKYbTv9F76HW4xaLuDy+APaHOiMuOLMUNltklXRqPWYAY4uEWuMCjsS2JlcqkljwBSP+dxttiXDc4m3GKSXpKoptJ/w98ZhFhrGt3InislqlCvIxuxt9Ey6ct6FIgcjUe8yWQzVJutHRUTz88MO47777wlVuCwsL4f93u93IypIGo8/PzyMv78h8D6dTGugtf95iseDw4cPHfY+5ubnwY+RKO/l7ybxeLxYXF8OPi5TTuYhAYPktZxl6ATmWNEw7l/D2vlFsWJe7qu9/IlqtBhaLacWxxQNjO72dbWMAgHXFVjjnFlQT14kwtsisNrb6Eite3jWMnQcP46Pvqzj9F8QprliKdWxvH5TeS0ryMyH6/ZidXf7Gu1Q+bpFSa1xAasdmMWpRkp+J4UkXXnpnAOdvXP4Jt1qPWyzj2t05CY83gBxLGnIy9JiddasmttVibCun1riA42MzGaTKk8NTrhX/u411bGqiZGw+fxCzocURRg2O+T3xmEWGsa3c6eLasC4XY3Y33tgzgvWl8R3TpNZjBkiJw+VU+KkmSTcyMgKfz4cbb7zxuM995jOfwYYNG3D33XcDkGbOHT1Lrq+vD3q9HiUlUuVIZWUlduzYAVEUj5lL19/fj5qaGgBAeno61q5de9zsuf7+foiieNysupUKBILwr3AuVFNlNv6+dwx7u+xYH8MNgpHEFi+M7eQ6BqSWu5qSrGPiUDquU2FskYk0trpSaaHImN2Nw3Y3cqO85CAZj9nptIW25daX2SJ+/lQ8bqul1riA1I3tjLp8DE+6sKPtMM5tXLvir1frcYtFXDvbJwEAm2ryEAiIAMSInketxwxgbJFQa1zAkdiyQlWyM/NLqok1EY5bPE3OLkAEYNBpYDJoT/j9ecwiw9hW7mRxbajKwV/eHsTebjuWPH7oFGg9VesxWw7VNOrW19fj0UcfPeZ/t956KwDg9ttvx7e//W2UlJSgvLwcL7zwwjFf+/zzz+Pss88Ob2ndtm0b5ubmsGPHjvBj+vv70d7ejm3btoU/tm3bNrz88svw+XzHPJfFYkFLS0ssf9wTagwNfj/Qz+URdKygeGQeXW0Jh9fTiaWn6bGuSJqzeaCPryPR0B5KjnNpBKW6M0NbXjsGZzHn5ubHk/EHgtgX2mi3uZZbXSmxhLe7cnGEasmbXbMtacctSSRSi3VFWTCn67Hg8aMrtPiQlk81lXQWiwVbt2494efWr1+P9evXAwC+/OUv4+tf/zpKS0uxdetWPP/889i/fz8ee+yx8ONbWlpw3nnn4Rvf+Ab+4z/+A0ajET/+8Y9RW1uLSy65JPy466+/Hn/+85/xta99DZ/4xCfQ1dWFhx56CLfccks44RdP9WU2aDUCJmcXMTG7gAJbetxjIHUamXTBveSH0aBF2Zrjl6oQyZqqctA1Mof9vdO4YFOx0uEktEnHIuxzS9BqhPAGbqJUlW81oWKtBf3jTrx7aBIXbebry4kcGpzFgscPS4YB64pWNzqFKN7C211dXgRFERomgVRHTtLlcrMrqZhGI2BDVS62HxhHa7cdDTHsEkxGqqmkW64rrrgC3/3ud/Hss8/i+uuvx549e/Czn/3suMq3n/zkJzjnnHPwrW99C1/72tdQXl6OBx54ADrdkbxkWVkZHnroIRw+fBg33ngjHn74YXzlK1/B5z//+Xj/WAAAk1GH6mLphO5AL6tg6IjO0B2I6qIsaDUJ92dLcdQUqsjtGJqFzx9QOJrE1jEwAwCoLLTEdJkPUaLYGqqme6djQuFI1Gt3l7TVdVN1LjQaJjgosVgyDBAABIIiXAu+0z6e4m86NI8uh0k6UrmWGmnG/t7uKYhiZGMfUpWqrzq2bt2Kzs7O4z5+9dVX4+qrrz7l15rNZtx111246667Tvm4TZs24Q9/+MOq4oympsocHBpyoK1/Bhdvif52RkpMXUOhVtc4D96kxFOSnwlrpgEOlxedww40VuQoHVLC6hiUW115948IkObS/f7lbvSMzGF6bokXie8RDIpoDSXpNtfmKxwN0crptBqYMwxwur2YnffAkhH/ziI6NXuoki7HwtdfUreG8mwYdBpMOz0YmnChbI1Z6ZASBktyVEaeS3dokFUwJBFFMVxJx3l0dDqCIKC5KjTfsndG4WgSV1AUw/Po6sv4d0cESK1w8s2inYdYTfde3SMOOBd8SDfqeFONEpYtNJdu1sW5dGokt7vyJgmpnVGvxfoK6UZ3a/eUwtEkFibpVKY4LwPWTAO8/mA4MUOpbczuhmvRB4NOg/K1vANBpye3vO7n8oiIjUy64Fr0wajXorLQonQ4RKpxZn2o5bWdSbr3kltdN1bnKrLJjigarJlS9ZyDSTpVkttdOZOOEsHGarnl1a5wJImFZxAqIwjCkS2vrIIhHJlHV1WUxZN+WpaG8mxoNQImZhYwObugdDgJSa6iqy218u+O6Ciba/Og1QgYmnBhfNqtdDiqIYoi9oRbXbnVlRJXeHkEN7yqTjAoYjb0e2G7KyWCDetyIQjA0KQL9rlFpcNJGLzyUKHmUJKurZ9VMAR0ch4drdAxS2j6mOyPhDyPjq2uRMcypxvCcxp3dkwqHI16DByex4zTI7X3cI4lJTBrKEk3yySd6jhcHgSCIrQaAdZQWzKRmlnSDagObTpvZTXdsjFJp0IN5TZoBAHj0wuwO5hxTmXHzqNjko6Wryk0l24/N0WvmD8QROcwl0YQnczWBmkpwjvtE9zYFvJup5SwbK7KgUGvVTgaosjJyR+Hy6twJPRe8tIIm9nI7dGUMDZWS9XlbHldPibpVCg9TY+qImkG0oF+VsGkssMzC3C6vdBpNZyLRSsiV+QeGpqF18clNCvRN+aE1xeEOV2PorwMpcMhUp2W6jzodRocnlnA8KRL6XAUJ4oidney1ZWSg42VdKolL43gPDpKJC010ly6ziEH3Es+haNJDEzSqdSRuXSsgkll4Xl0hRbodbwzT8tXmJuBbIsRPn8Qh4a4hGYl2gekmyP1ZVJVMxEdy2TUhbdIc4EEMGp3Y3J2ETqtJry4hyhR2cKVdEzSqY3dyc2ulHgKbOkoys1AUBTZ4bNMTNKplFwF0zE4C38gqHA0pBTOo6NICYIQfh1hsn9l2gfZ6kp0OltDW153drDlVa6ia6zIhsmoUzgaotWRZ9K5Fn3w+XkNoiZyJR2XRlCikbe8ci7d8jBJp1IlBZmwZBjg8QXQPcwqmFQkiiI6h0IbJjmPjiIgV3Ts77On/EX0ci16/OgfcwIAGrg0guikmqtyYDRoMe30oHfUqXQ4ipKTdJtq2OpKiS8jTRfeas5qOnWZDm3HZCUdJZqW0FwdilMkAAAgAElEQVS6A33TTP4vA5N0KqURBDRWSFUcnEuXmiYdi3C4vNBqBFSGtuIQrUR9uQ1ajYApxxImZrmEZjm6hh0IBEXkWdOQazUpHQ6Rahn0WmwK3Rl/pyN1W14nZhcwMuWCRhDClQJEiUwQBFgzDQCYpFMbu1P6feSyko4STPlaM7IyDfB4A+gIdazQyTFJp2JyFcyBPraqpSK51bWi0AIjN8VRBNIMunCrNFtel6eDra5Ey7a1QWp53XVoEoFgat4Z3xOqoqsrsyLTpFc4GqLo4PII9RFFETPyTDreRKQEoxGEcDXd3u4phaNRPybpVGx9RTYEARidcodflCl1hOfRsdWVVuFIyyuTdMtx9NIIIjq1hvJsZKTp4HR7w+9ZqWZ3V2irK1tdKYnISToHk3Sq4VyQZgQKALJDvx+iRNIiz6XrsSPIMTynxCSdimWa9KhcawEAtLHlNeV0DYfm0XFpBK2CvIGxc2gWHm9A4WjUbc7txciUGwBQxyQd0WnptBpsqcsHkJpbXmecS+gbc0IA0MIkHSURa3jDq1fhSEgmL42wmo3hmYFEiaSu1IY0gxZzLi/6x1N7lu3p8C9c5Rq5nTEl2R2LmHZ6oBEErOM8OlqFNdnpyM1Kgz8gomOIMyBOpWNQuhlSmp8JS7pB4WiIEoO85XV351TKbaPfE6qiqyrOCic1iJKB/O95ljPpVMMuL43gPDpKUHqdJpzb2Mstr6fEJJ3Kya1q7YMzKXfym8o6Qxt9y9eakWbQKRwNJTJBENBUxWT/cnQMSEnM+nJW0REtV02JFVmZBix4/GjrS62q/z1sdaUkxZl06jMtz6PjZldKYPLCqVYm6U6JSTqVK19jRqZJj0VPAL2jc0qHQ3HCeXQUTc1HLaEROQPihERRRPsAl0YQrZRGI+DMOqmabmcKbXl1LnjDN9SYpKNkw+2u6iO3u+YySUcJrLkqB1qNgDG7GxMzC0qHo1pM0qmcRiOgsUK6YORcutTRyXl0FEV1ZTbotBrY55YwPs03xBOZcixi2rkErUZATTH/7ohW4swGaS5da7cdHl9qzL7c222HKAJlBWbkctMiJZmjF0fw5p46yEk6trtSIktP06MmVITCarqTY5IuATRWSkk6tqqlhhnnEqYcSxAEoJrJAooCo16LulDCdz9fR05IrqKrKsqC0aBVOBqixFK51oLcrDR4fAHs60mNk+53OycBAJtrWUVHyUeeSef1B7Ho8SscDQGAne2ulCTCW167pxSORL2YpEsAjRVSq9rQpItl5ylAbp8pLTDDZOQ8OoqOpqNaXul47YOhVldudSVaMUEQsLVBanlNhS2vC0u+8AxLJukoGRn0WmSkSeegnEunPFEUWUlHSWNjKEnXMzoH5wI3SJ8Ik3QJwJJhQNkaMwCk3FDmVMR5dBQLzaHlEV3DDt4Vf4+gKOLQIOfREa2GvOX1QN80FpZ8CkcTW/t6pxEIilibk461ORlKh0MUE1YzN7yqxYLHjyWvNEqAlXSU6HKzTCgtyIQoImWq71eKSboEIVfBtPWzCibZyZV0daWs6KHoKchOR77NhEDwSEKKJMMTLrgWfTAatChfa1Y6HKKEVJSXgcLcDPgDIvZ0JfdJ9+7O0FbX2nyFIyGKHVumPJeOlS5Kk6vozOl6GPUcyUGJr6VaqkLfy7l0J8QkXYJoCs2lO9g/g0AwqHA0FCsOlwcTMwsQANSUZCkdDiUZOdm/ny2vx+gIJS3rSqzQafm2SBQJQRCwtV5KWr2TxFtePd4A2kKvodzqSslMnkvHSjrlsdWVko08l+5g/0zKLJxaCV6NJIjKQgvSjTq4l/zoH59XOhyKka5QFV1JfibS0/QKR0PJRm553d87zW1tR2kfkMYI1LPVlWhVzgzNpesYmIXTnZzVN2390/D6g8jNSkNpQabS4RDFjPWoDa+kLPscl0ZQcinJz0SOJQ1efxDt/Rzn9V5M0iUIrUaD9RXc8prs5Hl0NaWcR0fRV1tihV6nwey8B6N2t9LhqILPH0TXiPR3x6URRKtTYEtH+RozgqIY3n6abI60uuZBEASFoyGKHVumAQC4tE4Fpp2spKPkIgjCUVte2fL6XkzSJZDGUMsr59IlL3keXW0JkwUUfQa9FvWhRBST/ZK+sTl4fUFY0vUoyuMAeKLVOjO0QGJnEm559fmD2NcrXUxsruE8Okpu4cURrKRTnNzumstKOkoicpJub48dwSA7fI7GJF0CkedJDYzPc11xEnIueDEWqm7iPDqKFfl15ADn0gEA2gekeXT15dmsiiGKgjNDc+m6RuYwE6r+SBYdgzNY9ASQlWlAZZFF6XCIYsrG7a6qYXey3ZWST3WJFelGHVyLPvSMzikdjqowSZdArJlGlORnQoQ0ZJGSS1eo1bUoLwPmdIPC0VCyagrNpesemcPCkl/haJTXPii9lrLVlSg6si1pqCmWbjTt7Eiulle51XVTTR40TOpTkpMXRzjdXi6tUxgXR1Ay0mk1aF4nXZe0dk8pHI26MEmXYFgFk7yOtLpyHh3FTr7VhDXZ6QgExfDChFS16PGjf0xaxFNfziQdUbRsDS2QSKYtr4FgMDw3Zwu3ulIKsKQboBEEiCLgdPuUDidlebwBuBal4892V0o2m6ql99PWbjuX2h2FSboE0yTPpeubQZD/kJOKvDSitpTJAootJvslnUMOBEUR+TYTcrNMSodDlDQ21+VDIwgYPDyPwzMLSocTFV3Dc3At+pCRpuNyJ0oJGo2ArNDyCM6lU47c6moy6pCeplc4GqLoWl+RDZ1WwOTsIsamk+N8IRqYpEswVUVZSDNo4Vr0YfDwvNLhUJS4Fn0YnXIBAGpYSUcx1lx1JEmXynet2OpKFBuWdAMaQtWpbx88rHA00bEn1OraUp0HrYanz5Qa5JZXbnhVDltdKZmZjDrUl0lFSK1dbHmV8Swjwei0GjSUS/+QuZ0xeXQPOyACWJuTjqwMzqOj2KopscKg18Dh8mJ40qV0OIrpGJSWRsivqUQUPXLL69sHJxL+ZkBQFLG7S5qvt7mWra6UOmzc8Kq46blFAGx1peQlb3mVR0oQk3QJSW55PdDPJF2y4Dw6iie9ToOG0F2rVG15nXN5MDrlhgCgjpV0RFHXUp0HnVaDMbsbA+NOpcNZlf4xJxwuL9IMWib1KaXYWEmnuPBmV1bSUZLaGErS9Y87eUMghEm6BCTPk+obc4YHiVJik+fRcc4NxYu85XV/ilbkylV0JQWZyDRxxgtRtKWn6cKt9U+/1pvQc3R3h1pwNqzLhV7HU2dKHVaz1N3h4IWzYsLtrqykoyRlzTSistACANjXw2o6gEm6hJRtSUNRbgZEESm/nTEZLCz5MTQpzResLWFFD8WHXJHbO+qEeyn1kv3tA2x1JYq18zcWAgBeeXcYv/hjG3z+oMIRrZwoitjdGWp15VZXSjHyTLpZVtIpZjpUScd2V0pmbHk9FpN0CaqxknPpkkX3iAOiCOTbTOHZH0SxlptlQmFuBoKiiIP9qZXsF0WRSyOI4qCpMgdf+PB6aDUC3m6fwP/8fi8WEuymwPCkC1OOJeh1mvC5F1GqsJrldlevwpGkLlbSUSrYWC3dBOsYnMGix69wNMpjki5ByS2vB/pnErqFhDiPjpQTnm+ZYnPpJmcXMeP0QKcVUF3MvzuiWDq3eS2+c8NZSDNo0TnswPcf2xO+6EwEe0Ktro0V2Ugz6BSOhii+5Jl0nBOlDJ8/GE6QciYdJbPCnHQU2EzwB0S0pVjxwIkwSZegqoutMOq1cLq9GJ5I3e2MyUCeR1fLeXQUZ81ysr8vtZL97aF5dFWFWTAatApHQ5T8Ntbk4z8/uwXWTANG7W587zfvYmhiXumwlmV3p5Sk41ZXSkVyh8eixw+PN6BwNKlnZl66oWHQaWBO5/xcSl6CIKAlVE3X2j2lcDTKY5IuQel1GtSH2rTauOU1YS16/Bg8zHl0pIzqEiuMBinZnygXzNEgz/JsKOffHFG8lBaY8Z+f2YKi3Aw4XF784H/3qL7VfnzajVG7G1qNgA3rcpUOhyju0gxaGPXSzSxueI2/o1tdBUFQOBqi2JK3vO7vmYY/kHgzbKOJSboE1sS5dAmvd3QOQVFEblYaZ01Q3Om0mvBMtlR5HQkGRRwKVdLVc2kEUVxlW9Jw66c3oa7UiiVvAD95Yh/ePDCudFgnJbe61pfZkJHGKhZKPYIghOfSseU1/sJJOra6UgpYV5QFc7oeCx4/ukLjoFIVk3QJrDHUqtYz6sTCEgcsJiLOoyOlNVdJryP7U2Qu3dDkPNxLfqQZtKhYa1Y6HKKUk56mxy3XbMTWhgIEgiIeeq4Df36zH6IKW+7lVtdNbHWlFGbLNADghlcl2Lk0glKIRiNgQxW3vAKrSNIFAgE899xz+Na3voWbbroJnZ2dAID5+Xm8+OKLsNtT+8DGQ57VhDXZ6QiKYrh9ixKLPI+uhvPoSCHyEpq+MSdci4m1dTESHQNSFV1dqQ1aDe9TESlBr9Pghg814NKzSgEAf3yjH79+oROBoHraW6bnljBweB4CgE3VTNJR6jqy4ZVJunibdrKSjlJLS42UpNvbPaXKm3fxEtEVitPpxCc+8Ql87Wtfw7PPPotXXnkFMzNSkig9PR133nknHn300agGSifWGGp55Vy6xOPxBdA/7gQA1JZyNhYpI9uShuK8DIhiaryOtIdbXfk3R6QkjSDg6vevw6cvqYEgAK/vG8O9Tx3AklcdnQG7Q62u1SVWWDIMCkdDpBxueFWO3O6ay0o6ShEN5dkw6DSYdnowPJm6yzEjStL96Ec/Qnd3Nx566CG89NJLx2Q5tVotPvCBD+C1116LWpB0ckdvZ0zlbHMi6h2dQyAowmY2Io9vvqSgplDLa7LPpfP5g+gOtZjLs/iISFkXbirGzR9pgkGnwf7eafzX462Yc3uVDgt7OicBAJtrWEVHqe1IJZ3yf5epJlxJx+sEShFGvRbrK6QiJHkubCqKKEn38ssv47rrrsO55557wk0z5eXlGB0dXXVwdHo1JVbodRrMznswOuVWOhxaAbnVtbbUyo1NpKijk/3BJE72947OwesPIivDgMLcDKXDIaKQlpo8/NsnWpBp0mPw8Dy+9+i7GJ9W7pxmzuVB98gcAGAz59FRipMr6RyspIurQDAYrl5kuyulEnnL694UnksXUZJufn4excXFJ/283+9HIBCIOChaPoNei7pQq+SBFGhVSyZcGkFqUVWUBZNRC9eiDwPj80qHEzPtg9JYhvpyGxPjRCpTVZSFb163GflWE+xzS7jrN7vRPaLMdrfWbjtEABVrzcjmxTGlOG53VYZj3otAUIRWI8AaSpQSpYIN63IhCMDQpAv2uUWlw1FEREm60tJSHDx48KSff/PNN1FVVRVxULQy8ly6ZG9VSyY+fwB9Y5xHR+qg02rQUB56HUniLa/y0oh6troSqVJBdjq+cd1mVKy1wL3kx3//di/ePTQZ9zjkeXSba/Pj/r2J1MYa2u7qcHk4WieO5FZXm9kIjYY3Fil1WNINqC7KApC61XQRJemuuuoqPPXUU3j++efDL9aCIMDr9eLHP/4x3njjDXz84x+PaqB0cnKrWvfIHBY96hi4TKfWN+aEPyC13RXYTEqHQxR+HdmfpMn+hSU/+kKLWhrKshWOhohOxpJhwL9/sgUb1+XCHwji/qfb8Lddw3H7/u4lHw6FFsxs4jw6onAVVyAoYj4FtsCrBZdGUCrbGNqq3pqiSTpdJF/02c9+Fj09PfjXf/1XWCwWAMDXv/51OBwO+P1+fPzjH8fVV18d1UDp5PJtJuRZ0zDlWMKhwVm08KRS9TiPjtSmMZSkGxh3wrnghSU9ubYZdg7PQhSBApuJA5iJVM6o1+Kmjzbi8b9149XWUfz25W5MO5dwzYXroInxe+bebjsCQRFFeRlYk50e0+9FlAh0Wg0s6Xo4F3xwzHuS7vxArexcGkEprKUmF394tQedQw64l3zISNMrHVJcRVRJJwgC7rzzTjz22GO48sorsW3bNtTV1eGaa67Bb37zG9x+++3RjpNOQRAENMmD3/tnFI6GloPz6EhtbGYjSvMzIQI42Jd8ryPtoVZXua2XiNRNq9Hg05fU4GPnVwIAXtw1jF8+cxA+f2xnHu/uDLW68oYnUZhcTedwcS5dvEyHZnFxaQSlogJbOopyMxAUxaTt8jmViCrpZFu2bMGWLVuiFQutQmNlDl7ZM4oDvdMQRZHVWSrmDwTROyptjavhPDpSkaaqHAxNurC/bxpnN65ROpyo6hjkPDqiRCMIAi4/uxzZljQ8/FwHdh2axJzLg5s/1oxMU/Tvqi95/WgL3ezkPDqiI6xmI4YmXVweEUdyuysr6ShVbazOxajdjdZuO85en1zXJacTUSUdqU99qQ06rYBp5xIOzywoHQ6dQv+4E15/EOZ0PQpz2EpD6iFX5Lb1TSMYTJ7h0LPzHozZ3RAA1DFJR5Rwzl6/Bv96zQaYjFp0jczh+4/tht0R/Y1vB/pm4A8EkW8zoTgvI+rPT5SobNzwGnd2p3Ssc7M4u5pSU0toLt2Bvmn4/EGFo4mviCvpnnnmGTz11FMYGRnB3Nzccdt+BEHA7t27Vx0gLY/RoEVNiRXtA7M40DuNtTk8uVQreR5dTQnn0ZG6VBVZkG7UwR1asrAutFkp0clD4EvXmGNSfUNEsVdfno1bP7UZP35iH8anF/C93+zGV6/egLI15qh9j92d0ibZzTV5fH8mOsqRdlevwpGkBlEUMcOZdJTiyteakZVpwJzLi47BWTRX5SgdUtxElKT77//+bzz88MMoKChAY2MjzObonSBR5Joqc6QkXf8MLjmzVOlw6CQ4j47USqvRoLEyGzs7JrG/dzppknTtg1L7WkM5q+iIEllxfia+ed1m/OSJfRiZcuMH/7sH//yRxnAV8Gr4/AHsC8292VTLeXRER5Mr6TiTLj6cCz74/EEIALJDx54o1WgEAS3Vefh76yj2dk8xSXc6TzzxBN7//vfjvvvug0bDjlm1aKzMwe9fkbageHwBGPVapUOi9/AHgugZkebR1XIeHalQU2UOdnZM4kDfND66rVLpcFZNFMUjSyPKuDSCKNFlW9Lwfz+1Gff98QA6Bmfx0yf247MfrMX7NhSu6nkPDszC4w3AZjaiYq0lStESJYdwJR3bXePCHloaYTUbodPyWptSV0t1Lv7eOorWHjs+LYox3/CuFhH/1Z9//vlM0KlMYU46cixG+ANBdA7NKh0OncDgxDw8vgAy0nQo4rwbUqHGUEXK4OF5zCXBHfOJ2UXMznug0wpYV5wclYFEqS49TYdbrtmAs9cXICiKeOQvh/D0G33HjV5ZCbnVdVNNXspcBBAtlzXTAACYTYLzgkQQXhrBza6U4upKbUgzaDHn8mJgfF7pcOImoizb+9//fs6bUyFBEMItHwd6ZxSOhk6k66h5dLwIIDXKyjCEZzzJWw4TWfuA9DOsK8pidTFREtFpNfg/VzTg8rPLAAB/enMAjzx/CP7AyodL+wNB7O22A5Dm0RHRseR21/lQGybF1nRoHl0u59FRitPrNOECgtbuKYWjiZ+IknS33XYbxsbGcMcdd+DgwYOYmZmBw+E47n8Uf/I/4gP90wpHQifCeXSUCJpDryP7exP/daQj1OpaX85WV6JkIwgCPnZ+FT7zgVoIArD9wDjueXI/Fj3+FT1P57AD7iU/zOl61PD9meg4mSY9dFrp5vKcm9V0sRaupGOSjgibqnMBAK2hm2mpIKKZdCaTCS0tLXjooYfw29/+9qSP6+joiDgwikx9mQ1ajYDJ2UVMzC6gwJaudEgUEgyK6B4JJek4j45UrLkqB39+awAH+2cQCAahi3wygqKCQREdoc2uXBpBlLze31IEq9mIXzzThrb+GfzX43vw1as3hOdonc6eTunufEt1LjQaVrkTvZcgCLBmGmGfW4Jj3ovcLJPSISU1O9tdicKaq3Kg1QgYs7tTJr8RUZLujjvuwBNPPIENGzZgw4YN3O6qIiajDtXFWTg05MCB3mkUbEn+f8SJYmhyHoueAExGHUryM5UOh+ikKtZakGnSw7XoQ++oEw0ViVmFNjgxjwWPHyajFuVr+D5FlMw2rsvFv39iE3765D4MTbjwvUd345ZrNqAw99TzX4OiiD1dUpJuc21+PEIlSkhWs5Sk41y62JPbXVlJRwSkp0lV7h2Ds2jtsuODW0uVDinmIkrS/eUvf8GVV16JH/zgB9GOh6KgqTIHh4YcaOufwcVbSpQOh0I6Q/PoqouzeKeeVE2jEdBYkY232ydwoG86YZN08jy6ulIbtFx0RJT0Kgst+OZ1m/HjP+zDxOwivv/Ybnz5Y82nbGHtGZnDnNsLk1GL+jJW3BKdDDe8xocoiuF2V86kI5K0VOdKSbruqZRI0kV01aLT6bBhw4Zox0JRIs+lOzQ4C58/oHA0JJOTdLWlnHdD6ndkCU3izqWTW1154U2UOvJt6fjGdZtRVWiBe8mPH/2uFbsOTZ708e+GPrdhXS50WibziU7GFkrSsZIuthY8fix5peu3bLa7EgEANobm0vWMzsG54FU4mtiL6Gzk8ssvx6uvvhrtWChKivMyYM00wOsPhhcVkLKC4lHz6EqYMCD1W1+ZDQHA0KQLM6G2i0Ti8wfQPTIHAGjg0giilGJON+Drn2hBS3Uu/AER9z/dhhd3Dh33OFEUw0m6zTVsdSU6FXnDKyvpYkuuojOn67mVnigkN8uE0oJMiCKwryf5F0hElKS79NJLMTU1hRtvvBF//etfsX//fhw8ePC4/5EyBEE4suW1d0bhaAgARiZdcC/5YTRoUbaG8+hI/SzpBlQUWgAkZjVdz8gcfP4gsjINWJvD2ZxEqcao1+KmjzThok3FAIDfvdKDx1/qQjAohh/TOzoH+9wSDHoNGiuZzCc6FWumAQDgYCVdTHFpBNGJtVTnAQD2psCW14hm0n3qU58CIG1vfeONN477vCiKEASB210V1FyZg+37x9HWPw2gWulwUp5c0VhdlMXZWJQwmipz0DfmxP7eafzjhUpHszLt8lbXsmwIAmdAEqUijUbAJ/+hGjlZafjDqz146d0RzM57cMMVDdDpNNhxYByA9FrHihWiU5Mr6WZZSRdTciUdl0YQHaulOhfPbO/Hwf4ZeHyBpH7fjihJ9/3vfz/acVCUNZTboBEEjE8vwO5YRK6Vq9KV1MV5dJSAmqty8Mz2frT1T8MfCCodzoq0D4SSdOVsLydKZYIg4INbS2EzG/HQc+3Y3TmFOfde3HLNBry1fwwAsLkmT+EoidTPaj4yk04uyKDokze7cmkE0bFK8jORY0nDtHMJ7f0zaEni9+6IknQf+chHoh0HRVl6mh5VRRZ0j8zhQP8MLmgpUjqklCWKYriSjvPoKJGUrTHDnK7H/IIPHQMzKM5OjGT/wpIPA4edALg0gogkWxsKYM004N6nDqBnZA7f+tVOTDuXoNUIaK7KVTo8ItWTt7t6fUEsegJIT4voMpJOY5rtrkQnJAgCWqpz8dLuEbR225M6Sce+uyTWmATbGZPBmN0N16IPBp0G5WvNSodDtGwaQUBjhfQ6srtjQuFolu/QkAOiCKzJTudmNCIKqy214dZPb0K2xRiuVmmszGaygWgZjHot0o3S3wo3vMaOne2uRCfVEtryuq/XfsyM2WQT0VnJrbfeetrHCIKAu+66K5KnpyhprszBH1/vQ8fgLPyBIHQ65mSVcCjU6lpVlAWdlr8DSizNVTnYcfAw3u2YwJXnlisdzrJ0hFpd69nqSkTvUZSXiW9etwU/fXIfhiZcOKdxrdIhESUMm9mIBY8fDpcHRbkZSoeTlOQbCKykIzpedYkV6UYd5hd86BmdQ01Jco6SiihJ98477xz3sWAwiKmpKQQCAWRnZ8NkSoy2qGRWUpAJS7oezgUfuocdaFrHdg4lhFtdOY+OEtD6imwIAjB4eB7Tc0vIyjAoHdJptQ9KW60byritkYiOZzMb8a1/OgPzS0FkZ+gQCCTv3XiiaLJmGjBqd8PB5REx4fEG4Fr0AeBMOqIT0Wk1aF6Xg7cPTqC1e4pJuqO98sorJ/y4z+fD73//e/z617/Gww8/vKrAaPU0goDGyhy81XYYB/pnmKRTgCiK6BqSqnpqk/RFhJJbpkmPdUVZ6B6Zwx3/3y5cckYJzt9YiDSDOtvDZuc9GJ9egCAAdWX8myOiEzPotFhXYsHsrBsAk3REy2HlhteYsoeq6ExGHdLT9ApHQ6ROm6rzQkk6O665YF1SLrGJau+dXq/Hpz/9aZx77rn47ne/G82npgg1yXPp+jiXTgmHZxbgXPBBp9WgstCidDhEEbn2ompkW9IwO+/B71/pwb/9/C08/UYf5he8Sod2nPYBqYqufI0ZGTzBJSIiihp5eYSDM+liYnpuEQBbXYlOZX1FNnRaAZOzixibXlA6nJiIyYCsuro67Nq1KxZPTSskt6qNTrkxE7o7Q/HTKc+jK7RAr9MqHA1RZKpLrPjVNy/G9ZfXo8BmgnvJjz+9OYB/+/lbePxvXeFNZGrQMRiaR8dWVyIioqiysZIupuTzKba6Ep2cyagLn+fv7Z5SOJrYiEmS7q233uJMOpXINOlRuVaq4NrPLa9xx3l0lCz0Oi3ObynC9244C//8j40oW2OG1x/ES7tH8H9/uQMPPduOUbtb0RhFUQxX0jVwaQQREVFU2VhJF1N2Lo0gWhZ5y+ueLrvCkcRGREOFfvazn53w4/Pz89i1axfa29tx4403riowip7Gyhz0jjmxv9eOj1xYo3Q4KUMURXTK8+hKmTCg5KDRCNhSl4/NtXloH5zF8zsG0TE4izfbDuPNtsNoqc7FZWeVoaooK+6xHZ5ZgMPlhU6rwToFvj8REVEyk2fSOVzqG3eRDORKuhxW0hGd0sbqXKIMypoAACAASURBVDz61070jzsxO+8JV/kmi6gm6bKyslBSUoLbb78d11xzzaoCo+hpqszBM9v7cbB/Bv5AUOlwUsakYzGUMBBQxXl0lGQEQcD68mysL89G35gTf3l7EHu6ptDabUdrtx11pVZcdlZZqOU+PgNd2wekpHh1cRYMeraXExERRZM8k27O5UUwKEKjSb6B7UqadrLdlWg5rJlGVBZa0DfmxL4eO97fUqR0SFEVUZLu0KFD0Y4DAPDaa6/hwQcfRE9PD1wuFwoKCnDxxRfj5ptvhtlsDj/ulVdewU9+8hP09/ejsLAQN954Iz72sY8d81xerxc//vGP8ac//QlutxstLS247bbbUFlZeczjent7ceedd6K1tRUZGRm48sor8dWvfhUGgyEmP6MSyteYkWnSw7Xow6GBGRRlsxU5HuR5dBVrLUwYUFKrLLTgpo82YXzajb+8M4QdbYdxaMiBQ0MOlOZn4rKzy7ClNj/mJ/NsdSUiIoqdrAwDBAEIiiLm3N6kq15Rmp2VdETL1lKdi74xJ1q7ky9JF5OZdJFyOBxobm7G7bffjoceegj/9E//hKeffhr/8i//En7Mu+++i5tvvhkbN27Egw8+iEsvvRTf/OY38cILLxzzXHfeeSeeeOIJ3HLLLbj33nvh9Xrxuc99DvPz8+HHzM3N4bOf/Sx8Ph/uvfde3HLLLfjDH/6AH/zgB3H7meNBoxHQWCENV9zTOalwNKlDTtJxHh2lirU5Gfj8ZfX4ry+ejUvOKIFRr8XQpAu/eOYgvvHA2/j73lH4/IGYfO9gUMSh0N8cl0YQERFFn0YjICtDKmTgXLro8vmDmAu1EXMmHdHpbazOAwB0DM5g0eNXOJroWlYl3djYWERPXlhYuKLHX3nllcf899atW2EwGHDbbbdhYmICBQUFuP/++9Hc3Iw77rgDAHDWWWdheHgY99xzDz74wQ8CAA4fPownn3wS3/72t3HVVVcBAJqamnDBBRfgd7/7HW644QYAwO9+9zu43W787Gc/g9UqJVICgQBuv/12fOELX0BBQUFEP7caNVZm4+32CezumMSHzi5TOpyU0DUcmkdXwqoeSi3ZljRce1E1rjinHK/sHsFLu0cw6VjEoy904pk3+nHJGSV4f0sRTMaIirlPqH/ciUWPHyajDuVrzKf/AiIiIloxm9kIh8sLx7wHWKt0NMljZl6qojPoNDCn6xWOhkj9CnPSUWAzYWJ2EW39MzijLl/pkKJmWVdIF154YUQzhTo6Olb8Ne8lJ898Ph+8Xi/eeecdfP3rXz/mMZdddhmeffZZjIyMoLi4GNu3b0cwGAwn7eTnOffcc/H666+Hk3Svv/46zj777PD3AIBLL70U3/72t/Hmm2/iox/96KrjV4vGihwAQN/YHF7dM4rzmtbEbU5UKrI7FjHt9ECrETjAnlJWpkmPD59XgQ+cWYrX943hhZ1DmJ334Im/9+LZHYO4cFMR/mFLCSwZqx8vILe61pVaOSOHiIgoRqS5dPOspIuyo5dG8BqN6PQEQUBLdR5e2DmE1u6p1EvS3XXXXXF9sQgEAvD7/ejp6cF9992HCy+8EMXFxejp6YHP5zturlxVVRUAoK+vD8XFxejr60NOTg6ysrKOe9yTTz4Z/u++vr7jZtlZLBbk5eWhr68vRj+dMiwZBpzTuAZvtR3GI893YG/3FD53aR3M6ckze09NOoeltrvyNWYYDZxHR6nNaNDiH84owQWbivBO+wSef3sQ49MLeG7HIF7cNYzzmtfig2eWIs8a+bzMg/3yPDq2uhIREcWKvOF1lkm6qArPo2OrK9GybazOxQs7h7C/Zxr+QBA6raqmuUVsWUm6eFeUXXDBBZiYmAAAvO9978Pdd98NQJohB0iJtKPJ/y1/3ul0HrNo4ujHyY+RH/fe5wKkLbVHPy4SWhX+A/nSR5tQW56DR59vR2u3HX3jO3HDhxrQXJWrdGjh46XG4xZJbF0jUpKurtwGnS42P1OyHbN4YWwrF624dDoNzm8pwvs2FqK1awp/fnMAfWNOvLpnFK+1juGs9QW4/JxylORnrig2jy+A7mHpNbupKidmf3MrpdbfJ6De2NQaF8DYIqXW2NQaF8DYIqXW2NQaFxBZbHISac7ljen7bbIdt9OZnZeSnnlWU8THNdWOWbQwtpVTS1x1ZTaY0/WYX/Chb8yJhops1cS2GlEZCLS0JGX+09Kik/l/4IEHsLi4iJ6eHtx///344he/iEceeSQqzx0vFos6N6h+9IJ12FiThx/9724MT8zjR7/diyvOq8DnrlgPowo2kKr1uAEri617REoYbGlYC5stI1YhAUieYxZvjG3lohnXxWdl4qKt5WjrncYTL3ehtWsKb7Udxltth7GlvgBXX1SNhlCb/uns7ZqELxBETlYaGtblqa5NRK2/T0C9sak1LoCxRUqtsak1LoCxRUqtsak1LmBlsRUVSAUOriV/zM9xgeQ5bqczvyQNvi9eY1n1cU2VYxZtjG3l1BDX1vVr8dKuIbQNzuLcTSXhj6shtkhFnKQbGxvDvffei9deew2zs9KAfJvNhvPPPx8333wziooiX4NbV1cHAGhpaUFTUxOuvPJK/O1vf8O6desA4JgNrYBUEQcg3N5qsVjgcrmOe16n03lMC6zFYjnuuQCpIu+9rbIr5XQuIhAIruo5ok2r1cBiMSHXbMC3P7cFv3+lB3/bNYxnt/ejtXMSX/rHRpQWKDNwXY5NzcdtubHNOJdweHoBggAU2tIwO+tWRVzxxNgio9bYYhlXcY4Jt1yzAQPjTjz71gB2dUzi3Y4JvNsxgZoSK644pxwb1uWcNPGm1Wqwr9sOAKgrtcHhWIhqfKuh1t8noN7Y1BoXwNgipdbY1BoXwNgipdbY1BoXEFlsxtA9/cnZhZid40YaW7zEIraxSemaNMOojfi4ptoxixbGtnJqiquxwoaXdg1hx/5xXH1+JXQ6rWpiey+LxbSsCr+IknS9vb345Cc/ifn5eZxzzjnHzIR75pln8Oqrr+Lxxx8/bnZcJGpra6HX6zE0NIQLL7wQer0efX19eN/73hd+jDw/Tv5+lZWVsNvtxyXb+vr6jompsrLyuNlz8/PzmJqaWnXsgUAQfr+6/lHIAoEgNIKAT1xUjfXl2Xj4+Q6MTrnxnYd34qPbqnDJmSXQKFSJovbjtpzY5NlYZQVm6LWamP88yXDMlMDYVi6WcRXnZeKLVzbiI+9bwF/eGcJbbePoGnbgf36/F8V5GbjsrDKcUZ8Preb4N7a93VMAgPoya8odt9VSa2xqjQtgbJFSa2xqjQtgbJFSa2xqjQtYWWzyPOtZpycuP0+yHLfTkWfS2TINq37OVDlm0cbYVk4NcdWWWGHQaTDtXEL/mBOVoaWNaogtUhE16t59993QaDT44x//iF/96le49dZbceutt+LBBx/E008/DY1GE54jt1r79u2Dz+dDcXExDAYDtm7dir/+9a/HPOb5559HVVUViouLAQDnnXceNBoNXnzxxfBj5ubmsH37dmzbti38sW3btuGtt94KV+IBwAsvvACNRoNzzz03KvGrXXNVDu64/kxsXJcLf0DEH17twd2/24sZ55LSoSWsziFpHl1tqfU0jySi9yrITsfnLq3Df33xHHzwzFIYDVqMTLnxwJ/bcesv38Yre0bg9QXCj3cv+tAbmgFZX8alEURERLFky5SSdAsePzxHvR9T5ALBIGac0kw6Lo4gWhmjXov1FdI1QGuouybRRZSk27VrF6677jrU1tYe97mamhp86lOfws6dO1f8vDfffDN+8Ytf4NVXX8WOHTvwyCOP4Oabb0ZtbS0uvvhiAMCXvvQl7N27F9/5znfwzjvv4J577sGzzz6LL3/5y+HnWbNmDa666ir88Ic/xFNPPYXt27fj5ptvhtlsxrXXXht+3LXXXouMjAzcdNNN2L59O5566in88Ic/xLXXXouCgoIIjkxisqQb8OWPNeEzH6yFQa9Bx+Asvv3wTrx7aFLp0BKSvNm1tsSmcCREictmNuKaC9fhR/98Dj6yrRKZJj3sc0t47MUu/Pv9b+G5HQNYWPKhfXAWogiszUmHLbRxjoiIiGLDZNTBoJcuIR3c8BoVjnkvgqIIrUaANZPnMkQrtbFaWoTZ2jWlcCTREVG7q9/vP+WSCJPJBL/fv+LnbW5uxvPPP48HHngAoiiiqKgIV199Na6//noYDNJdmy1btuDee+/FT37yEzz55JMoLCzEnXfeiUsvvfSY5/rP//xPZGRk4O6774bb7camTZvwyCOPHLP1NSsrC7/+9a/x3e9+FzfddBMyMjJw1VVX4ZZbbllx7IlOEAS8f2MR6kpteOBPBzFweB4/f7oN5zatwScvroHJGJUdI0nP4fJgYmYBAoCaktXNNSQiICNNjw+dU45LzijB9v3jeOGdIUw7l/DUa314bsdg+I6zfAeNiIiIYkcQBNgyjZiYXYRj3oMCW7rSISW86VAHU7bFCI3m/2fvzsOjrO/9/7/uyWSyTxbCvgTCJggIKjuioAckbG5orUWt/rDHtdraYq3S6nV+4renrdajXy1Iq6hd0FaPICKKVBDRooKIIBES9jUhyWSyTZK5v38kM4AIJJOZue9kno/r6nWV5M7Mi1xtlBfvz+dtr+VXQGtwXp9sGYa054hXRaVVUVlqE0khNS8DBgzQq6++qlmzZp1UekmS1+vVa6+9poEDBzb7dW+77TbddtttZ33u0ksv1aWXXnrGZ1wul+bOnau5c+ee8bnevXvrhRdeaE7MNq1TVrIenH2B3lxXqLfW79a6Lw9p+55S3Tb9XPXpRul0NvmNU3TdO6QqOTHe4jRA25EQH6dLL+imi4d20YZtR7T8493aX1Sh/UUNlytT0gEAEB0ZjSVdCZN0YVHceB8dR12B0LiTXerbNV35+8r0+TdH1bdXttWRWiSkku7uu+/WnDlzNGXKFF111VXq2bOnJKmwsFCvv/66SktLNW/evHDmRBQ54xy6anxvDerVTguXblVRWbXmv/KZpo/pqWljesrZhI0ksSpwH10/7qMDIsIZ59DoQZ008tyO2ryzWO9u2CunM06DcttZHQ0AgJgQuF6itNxncZK2oaisSpLULp2SDgjV0L7tG0q67UW6bpLVaVompJJu9OjRWrBggX7zm99owYIFJ31uwIAB+u///m+NGjUqLAFhnX7dM/TILSP0yrvbtf6rw3pz3S5tKTymOdMHMtp+GtxHB0SHwzA0tE+2LjyngzIzU1RSUtFqNzgBANCaZARKOibpwiJw3JVJOiB0w/pla8nqHdq+p0Teytb9FwhNLumuuuoqzZw5U3l5eWrfvr3GjBmjN954Q0ePHtWBAwckSV26dFH79u0jFhbRl5zo1Jzp52pI72wtfme7Cg549Os/bdD1l/XVRUM6yzC4NyHAU+nTgcajd9xHBwAAgLYosNygpJySLhwCx12z05MsTgK0Xh0zk9U1O0X7iyr06bbDOi+39V6F0+Rzi8XFxZo/f74uueQS3XrrrXrjjTdUUVGh9u3b67zzztN5551HQdeGjRzYUY/eMkLn9MhQTW29Xnj7a/3f17fIW1VrdTTbyG886tq1fYrSkl0WpwEAAADCL3DclTvpwqPI0/B95Lgr0DKBLa8ff3XI4iQt0+SS7oMPPtDixYt19dVXa8uWLXrggQc0duxY3XfffXr//fdD2uaK1qVdeqLu/94wzbqkt+Ichj7LP6qHF32irwqPWR3NFo4fdeU+OgAAALRNmamBO+ko6VrKNE0dCxx3paQDWmRY34ahsc+2HdZ7n+5VUWmVxYlC06w76UaMGKERI0Zo3rx5WrNmjZYtW6bVq1drxYoVcrvduvzyyzV9+nRdeOGFkcoLizkchqaMytHAnllasPQrHSyu1O/+vkn/cWF3XXNJruKdcVZHtExgaUT/HtxHBwAAgLYpI7XhxEip1yfTNLn+pgU8FT7V1vllSMpqnFAEEJqendOUnZ6oorJqLV6xXZLUuV2yBue20+De7dSvW4binfZfghnS4gin06mJEydq4sSJqqqq0rvvvqtly5bpH//4h5YsWaLOnTtr2rRp+slPfhLuvLCJnE5pmnfzcC1ZvUOrP9+vdz/dq627j+lH089Vtw6pVseLOm9VrfYf9UpqWLgBAAAAtEXpjZN0dfV+eatquealBYoap+gy0hLkjLN/eQDYmcMw9ODsC7Sp4Jg++fKgvtlXpoPFlTpYXKmVG/YqIT5OA3IyNbh3Ow3OzbLtPZAhlXQnSkpK0owZMzRjxgwVFxdr3rx5WrVqlRYuXEhJ18YlxMdp9qT+GpLbTn9evk37j1bo0Rc36JqLe+uy4d3liKG/Vftmb6lMNTT16Sn8iwoAAADapninQ6lJ8fJW1arU66Oka4HA0giOugLhkZ2RpFmX9tNl53eVx1ujr3aV6MudxfqyoFhlFT5t2lGkTTuKJEldslM0JLehsOvbPcM2RXmLSzpJ2rRpk5YtW6YVK1aoqKhICQkJmjBhQjheGq3AeX2y9eitI/Xn5dv0xc5i/e39HfqyoFi3TB0YvFi2reM+OgAAAMSKzLQEeatqVVJeo+4xeIomXIobJ+my3ZR0QLglJ8Zr+DkdNPycDvKbpvYe9mpzQUNht3N/mQ4UVehAUYVW/HuPElxxGtg4ZTckt52yLPz/ZMgl3c6dO/Xmm29q+fLl2rdvnwzD0MiRI/WTn/xEkyZNUmoqP6xjiTvFpXuuGaJ/bTqgv6/6Rl/tKtG8RZ/o5inn6IL+HayOF3GB++j69aCkAwAAQNuWmZagvUe8KmXDa4sUMUkHRIXDMJTTKU05ndI0fUxPeatqtXXXseCUnaeyVhu/KdLGbxqm7Lq2T9Hg3IbCrk+39KhO2TWrpDt48KCWLVumZcuWKT8/X6ZpauDAgfr5z3+uqVOnqkOHtl/G4PQMw9CEYV11To8MLXhzq3YfLtczr2/RuCGd9f3L+irRFZbBTduprK7TniPlkqT+3VkaAQAAgLYtuDyCDa8tEjzuyiQdEFWpSfEaMaCjRgzoKL9pas/hcm1uLOwKDni0/2iF9h+t0IpP9ijRFadze2Y13mXXLuKnBZvcmtxwww3auHGj/H6/unbtqttuu00zZsxQ7969I5kPrVDndin65Y0X6H8/LNTy9bv14eaDyt9TqjnTB6p313Sr44XdN/tKZZpSh8ykmDneCwAAgNiV0bg8ooRJuhYJHndlkg6wjMMw1LOTWz07uTVjbC95q2q1pbBYX+48pi2FxSqvrNVn+Uf1Wf5RSVK39qka3DtLQ3LbqXfX8E/ZNbmk27lzp6699lpNnz5dF1xwQVhDoO1xxjl09cW9NahXlp5ftlVHSqs0/+XPNX1sT00bk6M4hz0uZQwH7qMDAABALAn8xXQJk3QhM02TxRGADaUmxWvUwE4aNbCT/Kap3YeOT9kVHvBo31Gv9h316u2P9ygpoXHKLredBoVpyq7JJd2HH34op7NtHldE5PTvkalHbhmhl1fm6+Oth/W/HxZqS2Gx5kwbqA6ZyVbHC4vAfXT9uY8OAAAAMSAwSceddKGrrKlTta9ekiy9pB7A6TkMQ706u9Wrs1szx/VSeaVPWwqP6cuCYm0pOCZvVa0+3X5Un25vmLLr0SE1eCy2d1d3SMNJTW7dKOgQquTEeN0241wN6d1OL63crp37PfrVnzfohsv6aezgTjIMw+qIIauqqdPuQ9xHBwAAgNgRmBbhTrrQFZU2TNGlJccrIT7O4jQAmiIt2aXR53bS6HM7ye83VXjIE1w+setgufYc8WrPEa/eWr9byQlODezVcCx2cG6WsrJSmvQeNG+ImlHndlKfbul6fulW5e8r05+Wb9PmnUW68fJzlNFK73Lbub9MftNUdnoiY+oAAACICYF/d/dU1qqu3h/VzYdtReA+OpZGAK2Tw2God5d09e6SrisuypWnwtdwl13BMW0pKFZFdZ0+/fqIPv36iCTpzw9PUnZG0llfl5IOUZWdnqSff/98vf3Jbr2xtlCfbj+qHfvLdNuMc3XRBU1rlu2E++gAAAAQa1KT4hXnMFTvN1Xm9fGX1SEI3EfH0gigbXCnuDRmUGeNGdRZfr+pgoMNU3abC4q1+1C56ur9TXodSjpEncNhaOronjq3V5YWvLlVh45V6jd/2agdB8o1fUwPq+M1S+A+un7cRwcAAIAY4TAMZaQmqNhTrRJvDSVdCIKTdHzvgDbH4TDUp2u6+nRN15Xjc1VW4ZM72dW0r41wNuC0enZy61c3D9clw7pKkv75rx36Py9/rrIKn8XJmqamtl6FBz2SGhZkAAAAALEiI63hD5zcSxeaojKOuwKxIj3FpQRX0+6eDKmk++qrr/TKK6+c9vOvvPKKtm3bFspLI8YkuOJ04+T+uvuaIUpKiNPXe0r16AsbtHN/mdXRzmrn/jLV+01lpiWoPX8DBgAAgBiS2bjhtYQNryEJHHdlkg7AiUIq6Z544gmtX7/+tJ//5JNP9OSTT4YcCrFn+Dkd9LsfX6zO7ZJVUl6jx1/5XKs/3yfTNK2OdlqBo679e2S06g21AAAAQHNlsOG1RQLHXbPTz36RPIDYEfIk3YUXXnjaz19wwQXasmVLyKEQm7p3TNOvbxmhC/q3V73f1Esr8/Wnt7bJV1tvdbTvxNIIAAAAxKrAJF0pk3TNVu2rk7eqVhLHXQGcLKSSrqKiQnFxpz9P63A4VF5eHnIoxK6kBKfuuGKQrp3QR4YhrdtySI+9/JmOllZZHe0ktXX1KjjAfXQAAACITYFJuhIm6ZotcNQ1KcGp5ER2OQI4LqSSLicnR+vWrTvt59euXavu3buHHAqxzTAMXT6yh+7/3jClJcdrz2GvHn1hg7YUFFsdLajggEd19X6lp7jUMZMRdQAAAMSW43fStY6lb3YS3OzKFB2AbwmppLvmmmv0r3/9S/Pnz5fH4wl+3OPx6LHHHtPatWt1zTXXhC0kYtOAnEz96ubh6tXZrYrqOj2x5AstXVcovw3uqeM+OgAAAMSy4J10HHdttsAkXTZLIwB8S0iztTfeeKO+/vprvfjii3rppZfUoUMHSdKRI0fk9/s1c+ZM3XzzzeHMiRiV5U7UAzecr7++l69/bTqg19cWqvBguf6/aQOUnBhvWS7uowMAAEAsC0zS1fjqVVVTp6QEjm02VZGHza4AvltIP0kNw9D8+fM1c+ZMrVy5Unv37pUkXXrppZo0aZJGjhwZ1pCIbfFOh268/Bz16uLWS+/ka9OOIj364qe666rB6tY+Nep56ur92rm/TJLUj/voAAAAEIMSXHFKSnCqqqZOpd4aSrpmCEzScdwVwLe16CfpqFGjNGrUqHBlAc7ooiFd1L1Dqp755xYdKanSfy3+VDdPOUejBnaKao7Cgx756vxKS45Xl3bJUX1vAAAAwC4yUl2qqqlTSXmNOrdLsTpOq8FxVwCnE9KddIBVenZya97NF+rcnpny1fq14M2t+st7+aqr90ctQ+A+un7duY8OAAAAsSuTDa8h4bgrgNNp0iTdxIkT5XA49Pbbbys+Pl4TJ048azlhGIbee++9sIQETpSW7NJ91w7V62sL9Nb63Xrv033ac6hct18xSOmNd2NEEvfRAQAAAFJGKssjmqu2zq+yxo24lHQAvq1JJd2IESNkGIYcDsdJvwas4nAYuvri3urV2a1Fb21V/r4y/fqFDbrzisHq0y09Yu9bV+/Xjn0N99H15z46AAAAxLDAJF1puc/iJK3HsfKGKTqX06G0JOsW4QGwpyaVdA899JASExMVFxcnSXr88ccjGgpoqvP7tVeX7OF6+p9f6kBRhf7PXz7X9y7tq4nnd41Ikbz7cLlqauuVkuhU1/bcuwEAAIDYFZikK2GSrsmKyo4fdWXwBcC3NelOuuHDh2vFihXBX//iF7/QF198EbFQQHN0ykrWQzdeoOHndFC939Qr7+br+WVbVVNbH/b3yj/hPjoH/1AFAABADOO4a/Ox2RXAmTSppIuPj1dNzfEfvK+//rr27NkTsVBAcyW6nPrPmefquol95DAMrf/qsB576TMdKakM6/twHx0AAADQgMURzVdcxtIIAKfXpOOuubm5evXVV9W1a1elpaVJkvbv36+vvvrqjF937rnntjwh0ESGYWjyiB7K6Zim5/53i/Ye8erRFz7VbTMGakjv7Ba/vt9v6pt9jSUd99EBAAAgxgVKujKvT36/KYeDkyZnU9y42TWbkg7Ad2hSSfeTn/xE9913n374wx9KaihD/vCHP+gPf/jDdz5vmqYMw9C2bdvClxRoonNyMjXv5uF69o0t2nnAoz+8ulkzxvXS9LE9W3REdffhclXV1CspwanuHVLDmBgAAABofdwp8TIMyW+aKq/0Kb3x+CtOj+OuAM6kSSXd+PHjtWrVKn355ZcqLi7WAw88oGuvvVbDhg2LdD4gJFnuRP38++frb6u+0eqN+/W/Hxaq8KBHc6YPVEpiaFuUvt5dIknq2y2dvyUEAABAzItzOOROcanM61OJt4aSrgmKOO4K4AyaVNJ9/fXX6tq1qy666CJJ0j/+8Q9NmTJFo0ePjmg4oCXinQ7NntxfuV3cWvzOdm3eWaxHX9igu64aEtIk3Nd7Gkq6/j24jw4AAACQpMzUBJV5fSot90mdrE5jb/V+f/D+PibpAHyXJi2OuPLKK/Wvf/0rwlGAyBg7uLMe/MEFyk5P1NHSav3/iz/V+q8ONes1/H4zuNn1HO6jAwAAACQd3/BawobXsyot98lvmopzGMHvGwCcqEklXWJioqqrq4O/3rBhg4qKiiIWCgi3nE5pmnfzcA3KzZKvzq+FS7fqlXfzVVfvb9LX7zroUUV1nRJdcerRkfvoAAAAAIkNr80RWBqR5U7g+hwA36lJx1379++vP//5z3I4HMHtrl9++aUSEs7c/k+aJvMA0AAAIABJREFUNKnlCYEwSU2K173XnKf//bBQSz/apVWf7dPuw+W6feag4L9cnM6WnQ2ldJ9u6YpzNKnbBgAAANq8jMZ/jy5lku6sisqqJHHUFcDpNamk++Uvf6kf//jH+uUvfympYbvr4sWLtXjx4tN+DdtdYUcOh6Erx+eqV2e3Fi7bqh37yvToCxt0+xWD1K/76e+a21JQLEnqf4ZnAAAAgFiTkeqSJJUySXdWxSyNAHAWTSrpBg8erJUrV2rPnj0qLi7W7Nmz9Z//+Z8aM2ZMpPMBETG0b7bm3XShnn79S+0/WqH//utGXTuhjy67sJsM4+TRc79pasvOxpKO++gAAACAoOBxVybpzipw3JVJOgCn06SSTpKcTqdyc3OVm5urK6+8UhMmTNB5550XyWxARHXMStZDsy/UCyu+1idbD+uvq75R4UGPbrr8HCW44oLPHThaofJKn1zxDvXslGZhYgAAAMBeAgsQmKQ7u8AkXXZ6ksVJANhVk0u6E82fPz/cOQBLJLjidNv0gcrt7NaS1Tv08dbD2nfUqzuvGqyOmcmSpK/3lEiS+nbLkDOO++gAAACAgMAkXUV1nXy19XLFx53lK2JXkaehyOS4K4DTCamkC/jss8+0detWlZeXy+8/eUumYRi68847WxQOiAbDMPQfw7srp1Oa/u8bW7TvaIUefeFTzZk+UEP7ZOvr3Q0l3Tk9uI8OAAAAOFFyglMup0O+Or9KvTXq0PgX3TiZ3zS5kw7AWYVU0pWWlupHP/qRNm/eLNM0ZRiGTNOUpOB/p6RDa9Ove4Z+dfNwPfvGFu3YX6anXtus6WN6avueUknSOTncRwcAAACcyDAMZaQm6EhplUq9Pkq60yiv8Kmu3i9DUlbj9CEAfFtIZ/d+85vfaPv27frd736n9957T6ZpatGiRXrnnXf0ve99TwMGDNDatWvDnRWIuMy0BP38+8N06fndJElLP9qlsgqfXE6HcrukW5wOAAAAsJ+MwPII7qU7raLGpREZaQlcoQPgtEL66bBmzRpdd911ysvLU0pKSsMLORzKycnRr371K3Xt2lWPPfZYWIMC0eKMc+iGSf00Z9pAuZwN/xfpn5OleCf/MAUAAAC+LZOS7qw46gqgKUI67urxeNSnTx9JCpZ0FRUVwc+PHTtWTzzxRBjiAdYZPaiTurZP0YpP9uiKCX2tjgMAAADYUkaqS5JU6qWkO53gZlc3JR2A0wtpNKhDhw4qKiqSJLlcLrVr105ff/118POHDx+WYRjhSQhYqEfHNN1x1WCdm9vO6igAAACALWWmNkzSUdKdXuC4K5N0AM4kpEm64cOH66OPPtLtt98uSZoyZYoWLVqkuLg4+f1+vfjii7rooovCGhQAAAAAYD+BO+lKOe56WsHjrkzSATiDkEq6m2++WR999JF8Pp9cLpfuvvtu7dixQ3/4wx8kNZR4Dz30UFiDAgAAAADsJ6Nxkq6ESbrTKm6cpMtmkg7AGYRU0vXv31/9+/cP/jo9PV0vvPCCPB6PHA6HUlNTwxYQAAAAAGBfxxdH+GSaJlcffYtpmiyOANAkzb6TrqqqSldddZX++te/nvI5t9tNQQcAAAAAMSSwOKKu3q+K6jqL09hPRXWdqn31kqQsjrsCOINml3RJSUnat28ffzsCAAAAAFC8M06pSfGSuJfuuwSm6NKS45UQH2dxGgB2FtJ214suukgffvhhuLMAAAAAAFoh7qU7Pe6jA9BUIZV0d9xxh3bt2qWf/exn+vTTT3X48GGVlpae8h8AAAAAQNuXkdZw5JVJulOx2RVAUzV5ccTTTz+tSZMmqV+/fpo6daokaceOHVq2bNlpv2bbtm0tTwgAAAAAsLVMJulOq4ilEQCaqFklXU5Ojvr166c777yTO+kAAAAAAJKOb3hlku5UgeOuTNIBOJsml3Qnuvvuu8OdAwAAAADQSgXupCv1+ixOYj+B467Z6UkWJwFgdyHdSQcAAAAAQEBG4yRdCZN0pwhO0nHcFcBZNGuSrqCgQBs2bGjy88OHD292IAAAAABA65IZnKSjpDtRta9O3qpaSRx3BXB2zSrpnnvuOT333HNnfc40TRmGweIIAAAAAIgBgUk6T4VPdfV+OeM4tCUdP+qalOBUcmJIt00BiCHN+ikxe/ZsXXDBBZHKAgAAAABohdKS4xXnMFTvN+Wp8CmLqTFJLI0A0DzNKukGDx6syZMnRyoLAAAAAKAVchiG0lNdOuapUYm3hpKu0fGlEXw/AJwdM8gAAAAAgBYL3kvH8oigIpZGAGgGSjoAAAAAQIux4fVUgUk6jrsCaIoml3TDhw9XdnZ2JLMAAAAAAFqpjOCGV5/FSeyD464AmqPJd9K99NJLkcwBAAAAAGjFMpmkOwXHXQE0B8ddAQAAAAAtFryTzktJJ0m1dX6VNU4VUtIBaApKOgAAAABAi2WkuiRR0gUca5yiczkdSkuKtzgNgNaAkg4AAAAA0GIsjjjZiUddDcOwOA2A1oCSDgAAAADQYoHFEdW+elXV1FmcxnpsdgXQXJR0AAAAAIAWS0pwKtEVJ4kjrxKbXQE0X9hLuurqam3YsEEbNmxo9te+/fbbuv322zV+/HgNHTpUM2fO1GuvvSbTNE967tVXX9XkyZM1ePBgzZgxQ6tXrz7ltcrLy/Xggw9qxIgRGjZsmO655x4dOXLklOc+//xzXXfddRoyZIgmTJigBQsWnPJ+AAAAAICzC2x4LeXIq4rZ7AqgmcJe0h04cECzZ8/WjTfe2OyvfeGFF5SUlKQHHnhAzz77rMaPH6+HH35YzzzzTPCZt956Sw8//LCmTJmihQsXaujQobrrrru0adOmk17r3nvv1bp16/TrX/9av/3tb1VYWKg5c+aoru742PXu3bt16623qn379vrjH/+om266SU899ZT+9Kc/hf4NAAAAAIAYlRHc8OqzOIn1ijjuCqCZnOF+wczMTN15550hXYz57LPPKisrK/jr0aNHq7S0VH/+8591xx13yOFw6KmnntLUqVN17733SpJGjRql/Px8PfPMM1q4cKEkaePGjfrwww+1aNEijRs3TpLUq1cv5eXlaeXKlcrLy5MkLVq0SJmZmfr9738vl8ul0aNH69ixY3ruuec0e/ZsuVyuln47AAAAACBmBEq6Eo67Hr+Tjkk6AE0U9km6zMxM3X333brrrrua/bUnFnQBAwYMkNfrVWVlpfbu3atdu3ZpypQpJz2Tl5en9evXy+dr+NuaNWvWyO12a+zYscFncnNzNWDAAK1Zsyb4sTVr1ujSSy89qYzLy8uTx+PRxo0bm50fAAAAAGJZJhteJUn1fn/we5CdnmRxGgCthe0XR3z22Wfq2LGjUlNTVVBQIKlhKu5EvXv3Vm1trfbu3StJKigoUK9evU6Z5svNzQ2+RmVlpQ4ePKjc3NxTnjEMI/gcAAAAAKBpMlIbBiBifXFEablPftNUnMNQeiontAA0TUjHXc+2FMIwDLlcLnXq1EkdOnQIKZgkffrpp1q+fLnmzp0rSSorK5Mkud3uk54L/DrweY/Ho7S0tFNeLz09XVu2bJHUsFjiu17L5XIpKSkp+FqhiouzX/8ZyES25rFrNrvmksgWKrtms2suiWyhsms2u+aSyBYqu2azay6JbKGyaza75pIil61dRsPUWKnXJ6cztNduC9+3wHHfdu5EueLjbJPLCmQLjV2z2TWXZO9sTRVSSTd79uwm3zmXk5Oje+65J3gPXFMdOnRI9913n0aOHBnSEgqrud32HWkmW2jsms2uuSSyhcqu2eyaSyJbqOyaza65JLKFyq7Z7JpLIluo7JrNrrmk8GfL6ZIuSSqr8CkzM6VFr9Wav29VO49Jkjplp7T4+9Acrfl7ZiWyNZ9dc0n2znY2IZV0zz//vH7729/K5/Pp2muvVY8ePSQ1bEt99dVXlZiYqNtvv1379+/X3//+d/30pz+Vw+HQ5Zdf3qTX93g8mjNnjjIyMvQ///M/cjgaWtD09IYf+OXl5Wrfvv1Jz5/4ebfbrUOHDp3yumVlZcFnApN2gYm6AJ/Pp6qqquBzofJ4qlRf72/Ra4RbXJxDbncS2ZrJrtnsmksiW6jsms2uuSSyhcqu2eyaSyJbqOyaza65JLKFyq7Z7JpLily2ONOUJJV4qlV8zCtHCAsF28L3bc+BUklSenK8SkoqbJPLCmQLjV2z2TWXZO9sbndSkyb8Qirp1q5dq4SEBC1ZsuSUDajf//73NXv2bG3atEk/+9nPdP311+vqq6/WwoULm1TSVVdX60c/+pHKy8v197///aRjq4H74woKCk66S66goEDx8fHq3r178Ln169fLNM2TJv4KCwvVr18/SVJycrI6d+58yt1zhYWFMk3zlLvqmqu+3q+6Onv9jyKAbKGxaza75pLIFiq7ZrNrLolsobJrNrvmksgWKrtms2suiWyhsms2u+aSwp8tJdEpQ1K931SJp0bpKaHfx9aav29HS6skSVnuxKj+Hlrz98xKZGs+u+aS7J3tbEI6qLt06VJNmzbtlIJOkhISEjR9+nS98cYbwV/PmDFDO3fuPOvr1tXV6d5771VBQYGef/55dezY8aTPd+/eXT179tSKFStO+vjy5cs1evToYJ7x48errKxM69evDz5TWFiorVu3avz48cGPjR8/XqtWrVJtbe1Jr+V2uzVs2LAmfCcAAAAAAAHOOIfcjcVcaQxveC0uq5bUcCcdADRVSJN0VVVVKioqOu3njx49qsrKyuCv09LSgkdWz+SRRx7R6tWr9cADD8jr9WrTpk3Bzw0cOFAul0t333237r//fvXo0UMjR47U8uXLtXnzZr388svBZ4cNG6Zx48bpwQcf1Ny5c5WQkKAnnnhC/fv316RJk4LP3XrrrVq6dKl++tOf6vrrr1d+fr4WLVqk++677zsLSAAAAADAmWWkJqiswqcSb41ydOpCv1hQFCjp0inpADRdSCXdyJEjtXjxYg0dOlQTJkw46XPvv/++Fi9erFGjRgU/tm3bNnXt2vWsr7tu3TpJ0uOPP37K51atWqVu3bpp2rRpqqqq0sKFC7VgwQL16tVLTz/99CmTb08++aTmz5+vefPmqa6uTuPGjdNDDz0kp/P4bzknJ0eLFi3S448/rttuu01ZWVm65557dMsttzTr+wEAAAAAaJCZlqDdh8tjdpLOb5oq9jRud6WkA9AMIZV08+bN04033qg77rhDHTt2DN4Ft3fvXh0+fFhdunTRww8/LEmqqanRwYMHNWvWrLO+7vvvv9+k9581a9ZZXy8tLU2PPfaYHnvssTM+d/7552vJkiVNel8AAAAAwJllpCVIkkq9sVnSlVf4VFfvl2FIWY3fCwBoipBKui5dumjp0qX629/+pg8//FD79++XJPXu3Vs33XSTrrvuOiUnJ0tquJNu4cKF4UsMAAAAALCtjNSGq4NKYnSSrsjTcNQ1IzVBziZscwSAgJBKOklKSkrSD3/4Q/3whz8MZx4AAAAAQCuWmdowPVYSo5N0xdxHByBEIdX6v/nNb7R169ZwZwEAAAAAtHLB467lPouTWCNQ0mWz2RVAM4VU0r388su6+uqrNWnSJD355JPavn17uHMBAAAAAFqhwCRdrN5JFzjuyiQdgOYKqaT76KOPNH/+fPXs2VPPP/+8rrjiCk2dOlXPPPOMCgoKwp0RAAAAANBKBCbpvFW1qq2rtzhN9HHcFUCoQirpUlNTdcUVV2jBggX66KOP9Oijj6pTp0569tlnNXXqVM2cOVMLFiwId1YAAAAAgM2lJDqDCxNKvbF35LXYw3FXAKFp8aoZt9utWbNmadGiRVq7dq3mzp2rffv26YknnghHPgAAAABAK2IYhjLTYnPDq2maKmKSDkCIQt7ueqLa2lqtWbNGy5cv1+rVq1VZWanOnTuH46UBAAAAAK1MZmqCjpZWx9y9dBXVdarxNRzxzWKSDkAzhVzS1dXVad26dVq+fLlWrVolr9er9u3b66qrrlJeXp7OP//8cOYEAAAAALQSxze8xlZJF7iPzp0cr4T4OIvTAGhtQirpHnzwQa1atUplZWXKzMzU1KlTNXXqVA0fPlyGYYQ7IwAAAACgFclo3PBaEmOTdMVsdgXQAiGVdKtWrdJll12mvLw8jRo1SnFxp/4NQVlZmdLT01scEAAAAADQumQGJulibHFE8D46jroCCEFIJd26devkdJ76pT6fT6tWrdLSpUu1du1affnlly0OCAAAAABoXYKTdDF63JVJOgChCKmkO7GgM01T69ev19KlS/Xuu+/K6/UqKytL06ZNC1tIAAAAAEDrkRmrd9J5mKQDELqQF0ds2bJFS5cu1VtvvaWioiIZhqG8vDz94Ac/0NChQ7mbDgAAAABiVEaqS5JU6q2RaZox8+fDwCRddnqSxUkAtEbNKun27t2rN998U0uXLtXu3bvVsWNHTZ8+XUOGDNF9992nyZMna9iwYZHKCgAAAABoBQLHXX11flXW1CklMd7iRNFRVFYlieOuAELT5JLuuuuu0+bNm5WZmanJkyfrv/7rv3ThhRdKkvbs2ROxgAAAAACA1sUVH6eURKcqqutUUl4TEyVdta9OFdV1kjjuCiA0TS7pvvjiC3Xr1k0PPPCALrnkku9cHAEAAAAAgCRlpCWoorpOpd4adWufanWciAscdU1KcCo5kT8vA2g+R1MffPjhh9W+fXvdddddGjt2rObNm6ePP/5YpmlGMh8AAAAAoBXKjLENr4GlEdkcdQUQoibX+zfccINuuOEG7d27V0uXLtWyZcu0ZMkSZWdna+TIkTIMI2YuAwUAAAAAnFlGjG14DUzScdQVQKiaPEkX0L17d91xxx1avny5XnvtNU2dOlX//ve/ZZqmHnnkET388MNavXq1ampi4wcxAAAAAOBUgeURpV6fxUmioyhQ0jFJByBELTooP2jQIA0aNEhz587Vxx9/rDfffFPLly/Xq6++qqSkJG3cuDFcOQEAAAAArUhmWmwed2WSDkCownKbpcPh0JgxYzRmzBg98sgjWrVqlZYuXRqOlwYAAAAAtELBO+m8MVLSlXEnHYCWCfvKmYSEBOXl5SkvLy/cLw0AAAAAaCUy0lySpNIYKemKPBx3BdAyzb6TDgAAAACAswlM0nkqfKr3+y1OE1m1dfUqa7x7j5IOQKgo6QAAAAAAYZeW4pLDMGSakqei1uo4EXXM0zAt6HI6lJYUb3EaAK0VJR0AAAAAIOwchqH01IYjr219ecSJR10Nw7A4DYDWipIOAAAAABARsbLhNbA0gqOuAFqCkg4AAAAAEBEZjffStfXlEcHNrm5KOgCho6QDAAAAAEREZoyUdEVM0gEIA0o6AAAAAEBEZKTFxp10xYE76ZikA9AClHQAAAAAgIiIueOu6UkWJwHQmlHSAQAAAAAiIhYWR9T7/cHfH8ddAbQEJR0AAAAAICICJV1bnqQrKa+R3zQV5zCUnuqyOg6AVoySDgAAAAAQEYHjrlU19ar21VmcJjICR12z3AlyGIbFaQC0ZpR0AAAAAICISEpwKsEVJ0kq9fosThMZLI0AEC6UdAAAAACAiMkMLI9oo/fSsTQCQLhQ0gEAAAAAIiaj8Z62kjZ6L11wko6lEQBaiJIOAAAAABAxweURbXSSrqiM464AwoOSDgAAAAAQMYHlEW12kq6MSToA4UFJBwAAAACImIw2PEnnN00Vexp+X9mUdABaiJIOAAAAABAxmW14kq68wqe6er8M4/ixXgAIFSUdAAAAACBijk/S+SxOEn6B++gyUhPkjOOP1wBahp8iAAAAAICICUzSlXpr5DdNi9OEF5tdAYQTJR0AAAAAIGLSU12SpHq/KW9lrcVpwiuwNCKbza4AwoCSDgAAAAAQMc44h9zJ8ZIapunakiIm6QCEESUdAAAAACCiAvfSlbSxDa+BSTpKOgDhQEkHAAAAAIioE++la0s47gognCjpAAAAAAAR1RYn6UzT5LgrgLCipAMAAAAARFRbnKSrqK5Tja9ektSOSToAYUBJBwAAAACIqMAkXanXZ3GS8AkcdXUnx8sVH2dxGgBtASUdAAAAACCiMlLb3nHXIpZGAAgzSjoAAAAAQERltsE76YoD99Fx1BVAmFDSAQAAAAAiKiPVJUnyVtWqts5vcZrwKGaSDkCYUdIBAAAAACIqNSlezriGP36WtZHlEYFJuuz0JIuTAGgrKOkAAAAAABFlGEZwmq6kjZR0RWVVkjjuCiB8KOkAAAAAABHX1ja8ctwVQLhR0gEAAAAAIi6zDW14rfbVqaK6ThKTdADCh5IOAAAAABBxgQ2vpW2gpCtqnKJLTnAqOdFpcRoAbQUlHQAAAAAg4jJSA8ddW39Jx1FXAJFASQcAAAAAiLiMtMbFEW1gku5oKUsjAIQfJR0AAAAAIOIymaQDgDOipAMAAAAARFxgu2uJt0amaVqcpmUCd9IxSQcgnCjpAAAAAAARF7iTzlfrV1VNncVpWiZQ0mUzSQcgjCjpAAAAAAARlxAfp+SEhk2oJV6fxWlapqis8U46SjoAYURJBwAAAACIiszGI6+lrXh5hK+2XmWNJSMlHYBwoqQDAAAAAERF8F66VlzSFTVudnU5HUpLirc4DYC2hJIOAAAAABAVGakuSa17w+uRkkpJDVN0hmFYnAZAW0JJBwAAAACIiswTNry2VkdKuI8OQGRQ0gEAAAAAoiIztfXfSXfkWMMkXbabkg5AeFHSAQAAAACiIiNQ0rXqSbrjx10BIJwo6QAAAAAAUdEWFkcEj7sySQcgzCjpAAAAAABREbiTrqzCJ7/ftDhNaI42TtJlpydZnARAW0NJBwAAAACICneySw7DkGk2FHWtTb3fr6KyakkcdwUQfpR0AAAAAICocDgMpae6JLXOe+lKPDXy+03FnfD7AIBwoaQDAAAAAERNRqCka4X30gWn6NyJchiGxWkAtDW2Kul2796tefPmaebMmRo4cKCmTZv2nc+9+uqrmjx5sgYPHqwZM2Zo9erVpzxTXl6uBx98UCNGjNCwYcN0zz336MiRI6c89/nnn+u6667TkCFDNGHCBC1YsECm2TrvRgAAAAAAuwtseC1phZN0xY0lXXYGR10BhJ+tSrpvvvlGH3zwgXJyctS7d+/vfOatt97Sww8/rClTpmjhwoUaOnSo7rrrLm3atOmk5+69916tW7dOv/71r/Xb3/5WhYWFmjNnjurq6oLP7N69W7feeqvat2+vP/7xj7rpppv01FNP6U9/+lNEf58AAAAAEKsyW/GG16Kyxs2u3EcHIAKcVgc40cSJE3XZZZdJkh544AFt2bLllGeeeuopTZ06Vffee68kadSoUcrPz9czzzyjhQsXSpI2btyoDz/8UIsWLdK4ceMkSb169VJeXp5WrlypvLw8SdKiRYuUmZmp3//+93K5XBo9erSOHTum5557TrNnz5bLxR0DAAAAABBOgUm61ngnXeC4K5tdAUSCrSbpHI4zx9m7d6927dqlKVOmnPTxvLw8rV+/Xj5fw3agNWvWyO12a+zYscFncnNzNWDAAK1Zsyb4sTVr1ujSSy89qYzLy8uTx+PRxo0bw/FbAgAAAACcIDBJ15rvpMtmkg5ABNiqpDubgoICSQ1TcSfq3bu3amtrtXfv3uBzvXr1kvGtizxzc3ODr1FZWamDBw8qNzf3lGcMwwg+BwAAAAAIn4zAcVevz+IkzUdJByCSbHXc9WzKysokSW63+6SPB34d+LzH41FaWtopX5+enh48QlteXv6dr+VyuZSUlBR8rVDFxdmv/wxkIlvz2DWbXXNJZAuVXbPZNZdEtlDZNZtdc0lkC5Vds9k1l0S2UNk1m11zSdZmCxRcpd4aOZ2nvr9dv29+09SxxpKuQ1byd2a3il2/ZxLZQmXXbHbNJdk7W1O1qpKuNXG77XtHAdlCY9dsds0lkS1Uds1m11wS2UJl12x2zSWRLVR2zWbXXBLZQmXXbHbNJVmTzZXYcN1QZXWdklISlOj67j+W2u37dsxTrdp6vxyG1LNbppw2LALs9j07EdlCY9dsds0l2Tvb2bSqki49PV1SwxRc+/btgx/3eDwnfd7tduvQoUOnfH1ZWVnwmcCkXWCiLsDn86mqqir4XKg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"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"by_day_july_2016 = day_time_traffic[(day_time_traffic[\"month\"] == 7) & (day_time_traffic[\"year\"] == 2016)].groupby('day').mean()\n",
"by_day_july_2016['traffic_volume'].plot.line(x=\"day\", y=\"traffic_volume\", figsize=(15,6))\n",
"plt.title(\"July 2016: Average traffic volume by day\")\n",
"plt.xlabel('Day')\n",
"plt.ylabel('Avg. Traffic Volume')\n",
"plt.xlim([1,31])\n",
"plt.xticks(np.arange(1,31,step=1))\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"However, when plotting the average traffic volume against each day for July, 2016 - We see a significant drop on the weekend of 23-24th July.\n",
"\n",
"This probably might be linked to the protest closure, but dataset might have an incorrect date?\n",
"\n",
"Either way we can assume that exception for July was an outlier due one particular year.\n",
"\n",
"Next, we will look at the average traffic volume for each day of the week."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Average Traffic volume: By day of the week\n",
"\n",
"We will use our `day_of_week` column that we had already created from `date_time` to group by and calculate averages.\n",
"\n",
"**Note:** Day of the week is a range from 0 (Monday) through 6 (Sunday)."
]
},
{
"cell_type": "code",
"execution_count": 234,
"metadata": {},
"outputs": [
{
"data": {
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"
6.502781
\n",
"
15.600101
\n",
"
2015.527300
\n",
"
\n",
"
\n",
"
6
\n",
"
282.034226
\n",
"
0.151365
\n",
"
0.000000
\n",
"
51.798243
\n",
"
3213.063237
\n",
"
12.367378
\n",
"
6.595232
\n",
"
15.634630
\n",
"
2015.447930
\n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" temp rain_1h snow_1h clouds_all traffic_volume \\\n",
"day_of_week \n",
"0 282.126012 2.536164 0.000015 56.566723 4771.066360 \n",
"1 282.068457 0.144639 0.000191 52.259240 5071.712720 \n",
"2 282.020898 0.061704 0.000935 52.758020 5171.716737 \n",
"3 282.121619 0.181953 0.000127 53.279605 5187.552885 \n",
"4 281.884306 0.093327 0.000192 50.770397 5164.136903 \n",
"5 282.080936 0.102685 0.000081 49.643327 3697.681496 \n",
"6 282.034226 0.151365 0.000000 51.798243 3213.063237 \n",
"\n",
" hour month day year \n",
"day_of_week \n",
"0 12.482926 6.395495 15.337128 2015.528215 \n",
"1 12.341066 6.466225 15.605149 2015.581188 \n",
"2 12.405123 6.622979 15.993534 2015.497140 \n",
"3 12.452429 6.514676 15.878289 2015.490385 \n",
"4 12.441526 6.562263 15.962364 2015.505431 \n",
"5 12.390546 6.502781 15.600101 2015.527300 \n",
"6 12.367378 6.595232 15.634630 2015.447930 "
]
},
"execution_count": 234,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Group by day of the week and calculate averages for all numeric columns\n",
"by_dayofweek = day_time_traffic.groupby('day_of_week').mean()\n",
"# Show the averages grouped by day of the week\n",
"by_dayofweek # 0 is Monday, 6 is Sunday"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Having averages grouped by day of the week; let's now visualise how the average traffic volume by it."
]
},
{
"cell_type": "code",
"execution_count": 235,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"by_dayofweek['traffic_volume'].plot.line(x=\"day_of_week\", y=\"traffic_volume\")\n",
"plt.title(\"Average traffic volume by day of the week\")\n",
"plt.xlabel('Day of Week')\n",
"plt.ylabel('Avg. Traffic Volume')\n",
"plt.xlim([0,6])\n",
"# Setting ticks so we see the days rather than numbers\n",
"day_of_week_labels = ['Monday','Tuesday','Wednesday','Thursday','Friday','Saturday','Sunday']\n",
"plt.xticks(np.arange(0,7,step=1), labels=day_of_week_labels,rotation=90)\n",
"plt.ylim([3000,5250])\n",
"plt.yticks(np.arange(3000,5250,step=250))\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"As per the plot above, we can see that during the business days (Monday to Friday) the average traffic volume is significantly high, and sharply reducing during the weekends (Saturday and Sunday).\n",
"\n",
"Next, we will look at the average traffic volume based on time of the day. For this, we will seperate the business days (Monday to Friday) from weekends (Saturday and Sunday).\n",
"\n",
"### Average traffic volume: By time of the day\n",
"\n",
"We will use our `hour` column in combination with `day_of_week` column that we had already created from `date_time` to calculate averages."
]
},
{
"cell_type": "code",
"execution_count": 236,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"